Football_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's take a look at the European Soccer Database\n",
    "## What does the data look like?\n",
    "\n",
    "The [database](https://www.kaggle.com/datasets/hugomathien/soccer) for this project comes in the SQLite database system format. This allows us to use Python module `sqlite3` to run SQL queries directly from this notebook, by writing them within a Python wrapper.\n",
    "\n",
    "### **Imports**\n",
    "- `sqlite3` to establish a connection to the database and execute SQL statements.\n",
    "- `pandas` for data storage, processing and manipulation.\n",
    "- `numpy` and `scipy` for data analysis and statistical testing. \n",
    "- `matplotlib` and `seaborn` for statistical data visualizations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "import warnings\n",
    "\n",
    "# suppress future warnings\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "\n",
    "import pandas as pd # data processing\n",
    "import numpy as np\n",
    "import scipy.stats as stats\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "path = \"/Users/clintonreid/Downloads/\"\n",
    "database = path + 'database.sqlite'\n",
    "\n",
    "# Establish a connection to the database\n",
    "conn = sqlite3.connect(database)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With this connection established, we can store the results of SQL queries executed from this notebook in pandas DataFrames. Remember, we can read SQL queries (and more generally, statements) using `pandas.read_sql`, which can be understood as having inputs `pd.read_sql(sql_query, sql_database_connection)`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>name</th>\n",
       "      <th>tbl_name</th>\n",
       "      <th>rootpage</th>\n",
       "      <th>sql</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>table</td>\n",
       "      <td>sqlite_sequence</td>\n",
       "      <td>sqlite_sequence</td>\n",
       "      <td>4</td>\n",
       "      <td>CREATE TABLE sqlite_sequence(name,seq)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>table</td>\n",
       "      <td>Player_Attributes</td>\n",
       "      <td>Player_Attributes</td>\n",
       "      <td>11</td>\n",
       "      <td>CREATE TABLE \"Player_Attributes\" (\\n\\t`id`\\tIN...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>table</td>\n",
       "      <td>Player</td>\n",
       "      <td>Player</td>\n",
       "      <td>14</td>\n",
       "      <td>CREATE TABLE `Player` (\\n\\t`id`\\tINTEGER PRIMA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>table</td>\n",
       "      <td>Match</td>\n",
       "      <td>Match</td>\n",
       "      <td>18</td>\n",
       "      <td>CREATE TABLE `Match` (\\n\\t`id`\\tINTEGER PRIMAR...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>table</td>\n",
       "      <td>League</td>\n",
       "      <td>League</td>\n",
       "      <td>24</td>\n",
       "      <td>CREATE TABLE `League` (\\n\\t`id`\\tINTEGER PRIMA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>table</td>\n",
       "      <td>Country</td>\n",
       "      <td>Country</td>\n",
       "      <td>26</td>\n",
       "      <td>CREATE TABLE `Country` (\\n\\t`id`\\tINTEGER PRIM...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>table</td>\n",
       "      <td>Team</td>\n",
       "      <td>Team</td>\n",
       "      <td>29</td>\n",
       "      <td>CREATE TABLE \"Team\" (\\n\\t`id`\\tINTEGER PRIMARY...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>table</td>\n",
       "      <td>Team_Attributes</td>\n",
       "      <td>Team_Attributes</td>\n",
       "      <td>2</td>\n",
       "      <td>CREATE TABLE `Team_Attributes` (\\n\\t`id`\\tINTE...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    type               name           tbl_name  rootpage  \\\n",
       "0  table    sqlite_sequence    sqlite_sequence         4   \n",
       "1  table  Player_Attributes  Player_Attributes        11   \n",
       "2  table             Player             Player        14   \n",
       "3  table              Match              Match        18   \n",
       "4  table             League             League        24   \n",
       "5  table            Country            Country        26   \n",
       "6  table               Team               Team        29   \n",
       "7  table    Team_Attributes    Team_Attributes         2   \n",
       "\n",
       "                                                 sql  \n",
       "0             CREATE TABLE sqlite_sequence(name,seq)  \n",
       "1  CREATE TABLE \"Player_Attributes\" (\\n\\t`id`\\tIN...  \n",
       "2  CREATE TABLE `Player` (\\n\\t`id`\\tINTEGER PRIMA...  \n",
       "3  CREATE TABLE `Match` (\\n\\t`id`\\tINTEGER PRIMAR...  \n",
       "4  CREATE TABLE `League` (\\n\\t`id`\\tINTEGER PRIMA...  \n",
       "5  CREATE TABLE `Country` (\\n\\t`id`\\tINTEGER PRIM...  \n",
       "6  CREATE TABLE \"Team\" (\\n\\t`id`\\tINTEGER PRIMARY...  \n",
       "7  CREATE TABLE `Team_Attributes` (\\n\\t`id`\\tINTE...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl  = pd.read_sql(\"\"\"SELECT *\n",
    "                   FROM sqlite_master\n",
    "                   WHERE type='table';\"\"\", conn)\n",
    "\n",
    "tbl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This shows us all tables within the database.\n",
    "\n",
    "The following command will show all match information in the database."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>country_id</th>\n",
       "      <th>league_id</th>\n",
       "      <th>season</th>\n",
       "      <th>stage</th>\n",
       "      <th>date</th>\n",
       "      <th>match_api_id</th>\n",
       "      <th>home_team_api_id</th>\n",
       "      <th>away_team_api_id</th>\n",
       "      <th>home_team_goal</th>\n",
       "      <th>...</th>\n",
       "      <th>SJA</th>\n",
       "      <th>VCH</th>\n",
       "      <th>VCD</th>\n",
       "      <th>VCA</th>\n",
       "      <th>GBH</th>\n",
       "      <th>GBD</th>\n",
       "      <th>GBA</th>\n",
       "      <th>BSH</th>\n",
       "      <th>BSD</th>\n",
       "      <th>BSA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>1</td>\n",
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       "      <td>1.78</td>\n",
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       "      <td>4.20</td>\n",
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       "      <td>2</td>\n",
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       "      <td>0</td>\n",
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       "      <td>3.80</td>\n",
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       "      <td>3.25</td>\n",
       "      <td>3.25</td>\n",
       "      <td>1.85</td>\n",
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       "      <td>1.91</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.60</td>\n",
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       "      <td>9984</td>\n",
       "      <td>8635</td>\n",
       "      <td>0</td>\n",
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       "      <td>2.50</td>\n",
       "      <td>2.35</td>\n",
       "      <td>3.25</td>\n",
       "      <td>2.65</td>\n",
       "      <td>2.50</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.30</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>1</td>\n",
       "      <td>2008-08-17 00:00:00</td>\n",
       "      <td>492476</td>\n",
       "      <td>9991</td>\n",
       "      <td>9998</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>7.50</td>\n",
       "      <td>1.45</td>\n",
       "      <td>3.75</td>\n",
       "      <td>6.50</td>\n",
       "      <td>1.50</td>\n",
       "      <td>3.75</td>\n",
       "      <td>5.50</td>\n",
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       "      <th>4</th>\n",
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       "      <td>1</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>1</td>\n",
       "      <td>2008-08-16 00:00:00</td>\n",
       "      <td>492477</td>\n",
       "      <td>7947</td>\n",
       "      <td>9985</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1.73</td>\n",
       "      <td>4.50</td>\n",
       "      <td>3.40</td>\n",
       "      <td>1.65</td>\n",
       "      <td>4.50</td>\n",
       "      <td>3.50</td>\n",
       "      <td>1.65</td>\n",
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       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-09-22 00:00:00</td>\n",
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       "      <td>10190</td>\n",
       "      <td>10191</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>25975</th>\n",
       "      <td>25976</td>\n",
       "      <td>24558</td>\n",
       "      <td>24558</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-09-23 00:00:00</td>\n",
       "      <td>1992092</td>\n",
       "      <td>9824</td>\n",
       "      <td>10199</td>\n",
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       "      <td>25977</td>\n",
       "      <td>24558</td>\n",
       "      <td>24558</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-09-23 00:00:00</td>\n",
       "      <td>1992093</td>\n",
       "      <td>9956</td>\n",
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       "      <td>25978</td>\n",
       "      <td>24558</td>\n",
       "      <td>24558</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-09-22 00:00:00</td>\n",
       "      <td>1992094</td>\n",
       "      <td>7896</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>24558</td>\n",
       "      <td>24558</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-09-23 00:00:00</td>\n",
       "      <td>1992095</td>\n",
       "      <td>10192</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25979 rows × 115 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  country_id  league_id     season  stage                 date  \\\n",
       "0          1           1          1  2008/2009      1  2008-08-17 00:00:00   \n",
       "1          2           1          1  2008/2009      1  2008-08-16 00:00:00   \n",
       "2          3           1          1  2008/2009      1  2008-08-16 00:00:00   \n",
       "3          4           1          1  2008/2009      1  2008-08-17 00:00:00   \n",
       "4          5           1          1  2008/2009      1  2008-08-16 00:00:00   \n",
       "...      ...         ...        ...        ...    ...                  ...   \n",
       "25974  25975       24558      24558  2015/2016      9  2015-09-22 00:00:00   \n",
       "25975  25976       24558      24558  2015/2016      9  2015-09-23 00:00:00   \n",
       "25976  25977       24558      24558  2015/2016      9  2015-09-23 00:00:00   \n",
       "25977  25978       24558      24558  2015/2016      9  2015-09-22 00:00:00   \n",
       "25978  25979       24558      24558  2015/2016      9  2015-09-23 00:00:00   \n",
       "\n",
       "       match_api_id  home_team_api_id  away_team_api_id  home_team_goal  ...  \\\n",
       "0            492473              9987              9993               1  ...   \n",
       "1            492474             10000              9994               0  ...   \n",
       "2            492475              9984              8635               0  ...   \n",
       "3            492476              9991              9998               5  ...   \n",
       "4            492477              7947              9985               1  ...   \n",
       "...             ...               ...               ...             ...  ...   \n",
       "25974       1992091             10190             10191               1  ...   \n",
       "25975       1992092              9824             10199               1  ...   \n",
       "25976       1992093              9956             10179               2  ...   \n",
       "25977       1992094              7896             10243               0  ...   \n",
       "25978       1992095             10192              9931               4  ...   \n",
       "\n",
       "        SJA   VCH   VCD   VCA   GBH   GBD   GBA   BSH   BSD   BSA  \n",
       "0      4.00  1.65  3.40  4.50  1.78  3.25  4.00  1.73  3.40  4.20  \n",
       "1      3.80  2.00  3.25  3.25  1.85  3.25  3.75  1.91  3.25  3.60  \n",
       "2      2.50  2.35  3.25  2.65  2.50  3.20  2.50  2.30  3.20  2.75  \n",
       "3      7.50  1.45  3.75  6.50  1.50  3.75  5.50  1.44  3.75  6.50  \n",
       "4      1.73  4.50  3.40  1.65  4.50  3.50  1.65  4.75  3.30  1.67  \n",
       "...     ...   ...   ...   ...   ...   ...   ...   ...   ...   ...  \n",
       "25974   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "25975   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "25976   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "25977   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "25978   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "\n",
       "[25979 rows x 115 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match = pd.read_sql(\"\"\"SELECT *\n",
    "                FROM match;\"\"\", conn)\n",
    "\n",
    "match"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What is interesting about the data?\n",
    "\n",
    "Now that we know what the data looks like, we can take a look at subsets of the data that are interesting and lend themselves well to analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Manchester United's Premier League fixtures in 2008/09**\n",
    "We are able to join tables with relevant information in a query to store the correct data, as seen below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>country_name</th>\n",
       "      <th>league_name</th>\n",
       "      <th>season</th>\n",
       "      <th>date</th>\n",
       "      <th>home</th>\n",
       "      <th>away</th>\n",
       "      <th>home_team_goal</th>\n",
       "      <th>away_team_goal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1729</td>\n",
       "      <td>England</td>\n",
       "      <td>England Premier League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-08-17 00:00:00</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1846</td>\n",
       "      <td>England</td>\n",
       "      <td>England Premier League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-08-25 00:00:00</td>\n",
       "      <td>Portsmouth</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2049</td>\n",
       "      <td>England</td>\n",
       "      <td>England Premier League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-09-13 00:00:00</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2068</td>\n",
       "      <td>England</td>\n",
       "      <td>England Premier League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-09-21 00:00:00</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2069</td>\n",
       "      <td>England</td>\n",
       "      <td>England Premier League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-09-27 00:00:00</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>Bolton Wanderers</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2084</td>\n",
       "      <td>England</td>\n",
       "      <td>England Premier League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-10-04 00:00:00</td>\n",
       "      <td>Blackburn Rovers</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2089</td>\n",
       "      <td>England</td>\n",
       "      <td>England Premier League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-10-18 00:00:00</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>West Bromwich Albion</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2102</td>\n",
       "      <td>England</td>\n",
       "      <td>England Premier League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-10-25 00:00:00</td>\n",
       "      <td>Everton</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1739</td>\n",
       "      <td>England</td>\n",
       "      <td>England Premier League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-10-29 00:00:00</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>West Ham United</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1749</td>\n",
       "      <td>England</td>\n",
       "      <td>England Premier League</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-11-01 00:00:00</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>Hull City</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     id country_name             league_name     season                 date  \\\n",
       "0  1729      England  England Premier League  2008/2009  2008-08-17 00:00:00   \n",
       "1  1846      England  England Premier League  2008/2009  2008-08-25 00:00:00   \n",
       "2  2049      England  England Premier League  2008/2009  2008-09-13 00:00:00   \n",
       "3  2068      England  England Premier League  2008/2009  2008-09-21 00:00:00   \n",
       "4  2069      England  England Premier League  2008/2009  2008-09-27 00:00:00   \n",
       "5  2084      England  England Premier League  2008/2009  2008-10-04 00:00:00   \n",
       "6  2089      England  England Premier League  2008/2009  2008-10-18 00:00:00   \n",
       "7  2102      England  England Premier League  2008/2009  2008-10-25 00:00:00   \n",
       "8  1739      England  England Premier League  2008/2009  2008-10-29 00:00:00   \n",
       "9  1749      England  England Premier League  2008/2009  2008-11-01 00:00:00   \n",
       "\n",
       "                home                  away  home_team_goal  away_team_goal  \n",
       "0  Manchester United      Newcastle United               1               1  \n",
       "1         Portsmouth     Manchester United               0               1  \n",
       "2          Liverpool     Manchester United               2               1  \n",
       "3            Chelsea     Manchester United               1               1  \n",
       "4  Manchester United      Bolton Wanderers               2               0  \n",
       "5   Blackburn Rovers     Manchester United               0               2  \n",
       "6  Manchester United  West Bromwich Albion               4               0  \n",
       "7            Everton     Manchester United               1               1  \n",
       "8  Manchester United       West Ham United               2               0  \n",
       "9  Manchester United             Hull City               4               3  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mun_09 = pd.read_sql(\"\"\"SELECT match.id,\n",
    "                     country.name AS country_name,\n",
    "                     League.name AS league_name,\n",
    "                     season,\n",
    "                     date,\n",
    "                     HT.team_long_name AS home,\n",
    "                     AT.team_long_name AS away,\n",
    "                     home_team_goal,\n",
    "                     away_team_goal\n",
    "                     FROM Match\n",
    "                     LEFT JOIN Country on Country.id =  Match.country_id\n",
    "                     lEFT JOIN League on League.id = Match.league_id\n",
    "                     LEFT JOIN Team AS HT on HT.team_api_id = Match.home_team_api_id\n",
    "                     LEFT JOIN Team AS AT on AT.team_api_id = Match.away_team_api_id\n",
    "                     WHERE season = '2008/2009' and country_name = 'England'\n",
    "                     AND (home = 'Manchester United' OR away = 'Manchester United')\n",
    "                     order by date\n",
    "                     limit 10;\"\"\", conn)\n",
    "\n",
    "mun_09"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Unusual Trends: on what days were Man United more likely to win?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>date</th>\n",
       "      <th>HA</th>\n",
       "      <th>points</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1729</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-08-17 00:00:00</td>\n",
       "      <td>home</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1739</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-10-29 00:00:00</td>\n",
       "      <td>home</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1749</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-11-01 00:00:00</td>\n",
       "      <td>home</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1759</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-11-08 00:00:00</td>\n",
       "      <td>away</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1769</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>2008-11-15 00:00:00</td>\n",
       "      <td>home</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>4723</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>2015-09-12 00:00:00</td>\n",
       "      <td>home</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>4735</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>2015-09-20 00:00:00</td>\n",
       "      <td>away</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>4741</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>2015-09-26 00:00:00</td>\n",
       "      <td>home</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>4749</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>2015-10-04 00:00:00</td>\n",
       "      <td>away</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>4761</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>2015-10-17 00:00:00</td>\n",
       "      <td>away</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>304 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id     season                 date    HA  points\n",
       "0    1729  2008/2009  2008-08-17 00:00:00  home       1\n",
       "1    1739  2008/2009  2008-10-29 00:00:00  home       3\n",
       "2    1749  2008/2009  2008-11-01 00:00:00  home       3\n",
       "3    1759  2008/2009  2008-11-08 00:00:00  away       0\n",
       "4    1769  2008/2009  2008-11-15 00:00:00  home       3\n",
       "..    ...        ...                  ...   ...     ...\n",
       "299  4723  2015/2016  2015-09-12 00:00:00  home       3\n",
       "300  4735  2015/2016  2015-09-20 00:00:00  away       3\n",
       "301  4741  2015/2016  2015-09-26 00:00:00  home       3\n",
       "302  4749  2015/2016  2015-10-04 00:00:00  away       0\n",
       "303  4761  2015/2016  2015-10-17 00:00:00  away       3\n",
       "\n",
       "[304 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mun_daysOfWeek = pd.read_sql(\"\"\"select m.id, m.season, m.date,\n",
    "                             case when m.home_team_api_id = 10260 then 'home' else 'away' end as HA,\n",
    "                             case when (m.home_team_api_id = 10260 and m.home_team_goal > m.away_team_goal) or\n",
    "                             (m.away_team_api_id = 10260 and m.away_team_goal > m.home_team_goal) then 3\n",
    "                             when (m.home_team_api_id = 10260 and m.home_team_goal < m.away_team_goal) or\n",
    "                             (m.away_team_api_id = 10260 and m.away_team_goal < m.home_team_goal) then 0\n",
    "                             else 1 end as points\n",
    "                             from match m\n",
    "                             where m.home_team_api_id = 10260 OR m.away_team_api_id = 10260;\"\"\", conn)\n",
    "\n",
    "mun_daysOfWeek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Monday        16\n",
      "Tuesday       19\n",
      "Wednesday     24\n",
      "Thursday       2\n",
      "Friday         3\n",
      "Saturday     142\n",
      "Sunday        98\n",
      "Name: day_of_week, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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V+2ZmDeVzYI+Tqqx36mPygS7rYVIDjI92cjlvVq4SNDOzSnCVoJmZVUKlqwRXWmmlGD16dNlhmJnZANx8882zI2JEX9NVOmGNHj2aKVOmlB2GmZkNgKS2LrJ3laCZmVWCE5aZmVWCE5aZmVWCE5aZmVWCE5aZmVWCE5aZmVVCxxKWpNMkPSHpHw3GfVlSSFqpMOzrkh6QdG/h1glmZmZAZ0tYZ9Cg3y5JI4EdSbeTqA0bQ+r2fsP8mV9o7h08zcyGzOhRbyDR8cfoUW+UvaqV07ELhyPiWkmjG4w6iXQL80sKw3Yl9aL8MvCQpAdINw67vlPxmZk18sj0YcSkzndIoO3GdnwZvWZIz2HlO0r+M9+wq2h15r3p34w8rNE8DpI0RdKUWbNmdShSMzPrNkOWsPLtu48CvtVodINhDbuRj4jxETE2IsaOGNFn11NmZtYjhrIvwXWAtYDbJQGsAdwi6d2kEtXIwrRrkG7jbGZmBgxhCSsi7oyIlSNidESMJiWpTSPiMWACsJekRSWtBawLTB6q2MzMrPt1sln7uaRGE+tLmiHpwGbTRsRU4DzgLuAK4PMR8XqnYjMzs+rpZCvBvfsYP7ru/XHAcZ2Kx8zMqs09XZiZWSU4YZmZWSU4YZmZWSU4YZmZWSU4YZmZWSU4YZmZWSU4YZmZWSU4YZmZWSU4YZmZWSU4YZmZWSU4YZmZWSU4YZmZWSU4YZmZWSU4YZmZWSV08n5Yp0l6QtI/CsO+L+keSXdIukjScoVxX5f0gKR7JX2gU3GZmVk1NU1YkjZt9Whj3mcAO9UNmwi8PSI2Au4Dvp6XNQbYC9gwf+YXkob3Y33MzKxHtbqB4w/z82LAWOB2QMBGwI3A1q1mHBHXShpdN+yqwtsbgN3z612B30XEy8BDkh4A3k26Y7GZmVnzElZEbB8R2wOPAJtGxNiI2Ax4J/DAICz7AODy/Hp1YHph3Iw8bD6SDpI0RdKUWbNmDUIYZmZWBe2cw9ogIu6svYmIfwCbDGShko4CXgPOqQ1qMFk0+mxEjM/Jc+yIESMGEoaZmVVIqyrBmrslnQL8hpRE9gHu7u8CJY0DPgzsEBG1pDQDGFmYbA3g0f4uw8zMek87Jaz9ganAYcDhwF152AKTtBNwJLBLRPy7MGoCsJekRSWtBawLTO7PMszMrDf1WcKKiJcknQz8KSLubXfGks4FtgNWkjQDOIbUKnBRYKIkgBsi4uCImCrpPFIyfA34fES8vsBrY2ZmPavPhCVpF+D7wCLAWpI2Ab4TEbu0+lxE7N1g8Kktpj8OOK6veMzM7M2pnSrBY0hNzJ8GiIjbgNEdi8jMzKyBdhLWaxHxTMcjMTMza6GdVoL/kPQJYLikdYFDgb93NiwzM7N5tVPCOoTUZdLLwG+BZ0itBc3MzIZMOyWstSPiKOCoTgdjZmbWTDslrJMlTZb0uWLv6mZmZkOpz4QVEVuTercYCUyR9FtJO3Y8MjMzs4K27ocVEfcBR5N6qdgW+Em+r9VunQzOzMysps+EJWkjSSeR+g/8D+AjEfG2/PqkDsdnZmYGtNfo4mfAr4FvRMSLtYER8aikozsWmZmZWUE7fQlu02Lc2YMbjpmZWWPt9CW4LnA8MIZ092EAImLtDsZlZmY2j3YaXZwO/JLUi/r2wFmAS1ZmZjak2klYi0fE1YAi4pGIOJbU4MLMzGzItJOwXpI0DLhf0hck/Sewcl8fknSapCck/aMwbAVJEyXdn5+XL4z7uqQHJN0r6QP9WhszM+tZ7SSsw4ElSJ3ebgbsC4xr43NnADvVDfsacHVErAtcnd8jaQywF6nPwp2AX0ga3sYyzMzsTaKdVoI35ZfPA/u3O+OIuFbS6LrBu5LuQgxwJjCJdDHyrsDvIuJl4CFJD5DuwXV9u8szM7Pe1jRhSboUiGbj+7rjcBOrRMTM/PmZkmpVi6sDNxSmm5GHNYrrIOAggFGjRvUjBDMzq6JWJawfDFkUoAbDGibLiBgPjAcYO3Zs04RqZma9pWnCiohraq8lLQJsQEoi90bEK/1c3uOSVs2lq1WBJ/LwGaTOdWvWAB7t5zLMzKxg9Kg3eGR6W13HDsiaI9/g4WmdW047Fw7vDJwM/B+pJLSWpM9ExOX9WN4EUoONE/LzJYXhv5V0IrAasC4wuR/zNzOzOo9MH0ZMmtLx5Wi7sR2dfzt9Cf4Q2D4iHgCQtA7wR6BlwpJ0LqmBxUqSZgDHkBLVeZIOBKYBewBExFRJ5wF3kS5Q/nxEvN6vNTIzs57UTsJ6opassgeZW5XXVETs3WTUDk2mPw44ro14zMzsTaidhDVV0p+A80jnsPYAbqrdCysiLuxgfGZmZkB7CWsx4HHSjRsBZgErAB8hJTAnLDMz67h2Lhxu+2JhMzOzTul8O0czM7NB4IRlZmaV4IRlZmaV0GfCknSYpGWUnCrpFknvH4rgzMzMatopYR0QEc8C7wdGkHpsP6GjUZmZmdVpJ2HVOqb9EHB6RNxO485qzczMOqadhHWzpKtICetKSUsDb3Q2LDMzs3m1c+HwgcAmwIMR8W9JK7IAN3I0MzMbDO2UsAIYAxya3y9J6v3CzMxsyLSTsH4BbAHUOrN9Dvh5xyIyMzNroJ0qwc0jYlNJtwJExFP5ho5mZmZDpp0S1quShpNvWS9pBANsdCHpi5KmSvqHpHMlLSZpBUkTJd2fn5cfyDLMzKy3tJOwfgJcBKws6TjgOuC/+7tASauTzoeNjYi3A8OBvYCvAVdHxLrA1fm9mZkZ0F5v7edIupl040UBH42IuwdhuYtLehVYAngU+DrpDsUAZwKTgCMHuBwzM+sR7ZzDArgfeLY2vaRRETGtPwuMiH9K+gEwDXgRuCoirpK0SkTMzNPMlLRyo89LOgg4CGDUqFH9CcHMzCqonb4EDyHdwHEicBnwx/zcL/nc1K7AWsBqwJKS9mn38xExPiLGRsTYESNG9DcMMzOrmHZKWIcB60fEk4O0zPcBD0XELABJFwJbAo9LWjWXrlYFnhik5ZmZWQ9op9HFdOCZQVzmNOA9kpaQJNK5sbuBCcC4PM044JJBXKaZmVVc0xKWpCPyyweBSZL+CLxcGx8RJ/ZngRFxo6TzgVuA14BbgfHAUsB5kg4kJbU9+jN/MzPrTa2qBJfOz9PyY5H8GLCIOAY4pm7wy6TSlpmZ2XyaJqyI+PZQBmJmZtZKO60EJ0parvB+eUlXdjQqMzOzOu00uhgREU/X3kTEU0DDa6TMzMw6pZ2E9bqkOVfoSlqT3K+gmZnZUGnnOqyjgOskXZPfbwN8pnMhmZmZza+dvgSvkLQp8B5SX4JfjIjZHY/MzMysoJ1GF1dHxOyIuCwiLo2I2ZKuHorgzMzMalpdOLwYqSf1lXL/f8qjliH1AWhmZjZkWlUJfgY4nJScbmZuwnoW+HlnwzIzM5tXqwuHfwz8WNIhEfHTIYzJzMxsPu00uvippLcDY4DFCsPP6mRgZmZmRX0mLEnHkO4EPAb4E/BB4DrACcvMzIZMOxcO707qlPaxiNgf2BhYtKNRmZmZ1WknYb0YEW8Ar0lahnRjxbU7G5aZmdm82klYU3Lnt78mtRa8BZg8kIVKWk7S+ZLukXS3pC0krZA72r0/Py8/kGWYmVlv6TNhRcTnIuLpiDgZ2BEYl6sGB+LHwBURsQGpivFu4GvA1RGxLnB1fm9mZga015cgkjYCRteml/TWiLiwPwvM1YrbAPsBRMQrwCuSdiU17gA4E5gEHNmfZZiZWe9pp5XgacBGwFTgjTw4gH4lLNL5r1nA6ZI2JlUzHgasEhEzASJipqSGtzCRdBBwEMCoUaMaTWJmZj2onRLWeyJizCAvc1PgkIi4UdKPWYDqv4gYD4wHGDt2rG9zYmb2JtFOo4vrJQ1mwpoBzIiIG/P780kJ7HFJqwLk5ycGcZlmZlZx7SSsM0lJ615Jd0i6U9Id/V1gRDwGTJe0fh60A3AXMAEYl4eNAy7p7zLMzKz3tFMleBqwL3Anc89hDdQhwDmSFgEeBPYnJc/zJB0ITAP2GKRlmZlZD2gnYU2LiAmDudCIuA0Y22DUDoO5HDMz6x3tJKx7JP0WuBR4uTawv83azczM+qOdhLU4KVG9vzBsIM3azczMFlg7txcZaK8WZmZmA9ZOK0EzM7PSOWGZmVklNE1Ykg7Lz1sNXThmZmaNtSph1c5d/XQoAjEzM2ulVaOLuyU9DIyo69lCQETERh2NzMzMrKBpwoqIvSW9BbgS2GXoQjIzM5tfy2btud+/jXMXSuvlwfdGxKsdj8zMzKygnfthbQucBTxMqg4cKWlcRFzb4djMzMzmaKenixOB90fEvQCS1gPOBTbrZGBmZmZF7VyHtXAtWQFExH3Awp0LyczMbH7tlLCmSDoVODu//yTptvZmZmZDpp0S1meBqcChwGGkmy0ePNAFSxou6VZJl+X3K0iaKOn+/Lz8QJdhZma9o8+EFREvR8SJEbFbRPxnRJwUES/39bk2HAbcXXj/NeDqiFgXuDq/NzMzA0rqS1DSGsDOwCmFwbsCZ+bXZwIfHeKwzMysi5XV+e2PgK8CbxSGrRIRMwHy88qNPijpIElTJE2ZNWtWxwM1M7PuMOQJS9KHgSciol8NNyJifESMjYixI0aMGOTozMysW/UrYUk6aADL3ArYJfdT+DvgPyT9Bnhc0qp5/qsCTwxgGWZm1mP6W8JSfxcYEV+PiDUiYjSwF/DniNgHmACMy5ONAy7p7zLMzKz39CthRcSvBjsQ4ARgR0n3Azvm92ZmZkB7fQmuQbon1takRhLXAYdFxIyBLjwiJgGT8usngR0GOk8zM+tN7ZSwTidV160KrA5cmoeZmZkNmXYS1oiIOD0iXsuPMwA3zzMzsyHVTsKaLWmf3JXScEn7AE92OjAzM7OidhLWAcDHgceAmcDueZiZmdmQ6bPRRURMA3YZgljMzMyaapqwJH2rxeciIr7bgXjMzMwaalXCeqHBsCWBA4EVAScsMzMbMk0TVkT8sPZa0tKk24HsT+pO6YfNPmdmZtYJLc9hSVoBOIJ0l+EzgU0j4qmhCMzMzKyo1Tms7wO7AeOBd0TE80MWlZmZWZ1Wzdq/BKwGHA08KunZ/HhO0rNDE56ZmVnS6hxWWTd3NDMzm4+TknWl0aPeQGJIHqNHvdF3QGZWuj4vHDYrwyPThxGTpgzJsrTd2CFZjpkNzJCXsCSNlPQXSXdLmirpsDx8BUkTJd2fn5cf6tjMzKx7lVEl+BrwpYh4G/Ae4POSxgBfA66OiHWBq/N7MzMzoISEFREzI+KW/Po54G7SfbZ2JV3rRX7+6FDHZmZm3avURheSRgPvBG4EVomImZCSGrByk88cJGmKpCmzZs0asljNzKxcpSUsSUsBFwCHR0Tb13VFxPiIGBsRY0eM8H0kwS3qzOzNoZRWgpIWJiWrcyLiwjz4cUmrRsRMSasCT5QRWxW5RZ2ZvRmU0UpQwKnA3RFxYmHUBGBcfj0OuGSoYzMzs+5VRglrK2Bf4E5Jt+Vh3wBOAM6TdCAwDdijhNjMzKxLDXnCiojrADUZvcNQxDB61Bs8Mr3zhcs1R77Bw9PcmYiZ2WB4U/Z0MVTnfHy+x8xs8Pjvv5mZVYITlpmZVYITlpmZVYITlpmZVYITlpmZVYITlpmZVYITlpmZVYITlpmZVYITlpmZVYITlpmZVYITlpmZVYITlpmZVYITlpn1m+92bUOp63prl7QT8GNgOHBKRJxQckhm1oTvdm1DqatKWJKGAz8HPgiMAfaWNKbcqMwGh0sjZgPTbSWsdwMPRMSDAJJ+B+wK3FVqVGaDwKURs4FRRJQdwxySdgd2iohP5ff7AptHxBcK0xwEHJTfrg/cO0ThrQTMHqJlDRWvU/frtfUBr1NVDOU6rRkRI/qaqNtKWGowbJ6MGhHjgfFDE85ckqZERE/9bfU6db9eWx/wOlVFN65TV53DAmYAIwvv1wAeLSkWMzPrIt2WsG4C1pW0lqRFgL2ACSXHZGZmXaCrqgQj4jVJXwCuJDVrPy0ippYcVs2QV0MOAa9T9+u19QGvU1V03Tp1VaMLMzOzZrqtStDMzKwhJywzM6sEJ6w3EUlvLzsGa03SCmXHYNatnLBayF1F9ZKTJU2W9DlJy5UdjDV0o6Q/SPqQpEbXJVZSD+5LPanbt5MTVmsPSPp+r/RnGBFbA58kXes2RdJvJe1YclgDIukLkpYvO45BtB6pdda+pN/ff0tar+SYBkNP7UsAkn4gacOy4xhkXb2dnLBa2wi4DzhF0g2SDpK0TNlBDURE3A8cDRwJbAv8RNI9knYrN7J+ewtwk6TzJO1U9VJJJBMjYm/gU8A4YLKkayRtUXJ4A9Fz+xJwDzBe0o2SDpa0bNkBDYKu3k5u1t4mSdsA5wLLAecD342IB0oNagFJ2gjYH9gZmAicGhG3SFoNuD4i1iw1wH7KSer9pHUbC5xHWrf/KzWwfpC0IrAPqYT1OHAq6eL5TYA/RMRa5UU3OHphXyqStD7pt7c38Dfg1xHxl3KjGrhu3E4uYbUgabikXSRdRLpH1w+BtYFLgT+VGlz//Ay4Bdg4Ij4fEbcARMSjpFJXJUX61/VYfrwGLA+cL+l/Sg2sf64HlgE+GhE7R8SFEfFaREwBTi45tn7rwX0JmHPOZ4P8mA3cDhyR7zRROd2+nVzCakHSg8BfSP/W/1437icRcWg5kVmNpENJ1WazgVOAiyPiVUnDgPsjYp1SA1xAkhQ9uFP24r4k6URgF+Bq0npNLoy7NyLWLy24fur27eSE1YKkpSLi+bLjGCyS1gWOJ90cc7Ha8IhYu7SgBkjSd0g71yMNxr0tIu4uIax+kzQC+CqwIfNuo/8oLahB0Gv7EoCkA4DfRcS/G4xbNiKeKSGsAen27eSE1YKkxYADmf/gcUBpQQ2ApOuAY4CTgI+Q6t0VEceUGtggkLQy826jaSWG02+SrgJ+D3wZOJhUepwVEUeWGtgA9dq+VJNbqK7LvOt0bXkRDUy3byefw2rtbFIrtA8A15Bud/JcqRENzOIRcTUpST0SEccCVf/n/hFJ9wMPkbbRw8DlpQY1MCtGxKnAqxFxTT5QvKfsoAZBr+1LSPoUcC2ps+5v5+djy4xpEHT1dnLCau2tEfFN4IWIOJPUuu4dJcc0EC/Vzu3k65f+E1i57KAG6HukA/p9uQXdDqSWWlX1an6eKWlnSe8kHTSqrtf2JYDDgHcBj0TE9sA7gVnlhjRgXb2dnLBaqx08ns7dGi0LjC4vnAE7HFgCOBTYjNR0elyZAQ2CVyPiSWCYpGG5OfEmJcc0EN/L1/N8iVQteArwxXJDGhS9ti8BvBQRLwFIWjQi7gEq19CiTldvp666H1YXGp/rqL9JuhZmKeBb5YbUfxFxU375POn8VS94WtJSpKqZcyQ9QWraXkkRcVl++QywfZmxDLKe2peyGbmLs4uBiZKeovp3SO/q7eRGF28Cki4Fmm7oiNhlCMMZVJKWBF4CROp2alngnFzqqgxJP6X1Nqpcs+83E0nbkn57V0TEK2XH06tcwmpA0hGtxkfEiUMVyyD5QX7ejXRC9Tf5/d6kRgqVFREvFN6eWVogAzclP29Fuuzg9/n9HsDNpUQ0CHpwX2rWo/6d+Xkp4F9DGM6gqMp2csJqbOn8vD7ppOqE/P4jpKqnSomIawAkfTcitimMulRS5dYHQNJztC6RdE3/Z+3IJ7iRtB+wfUS8mt+fDFxVYmgD1VP7UnYz6bcnYBTwVH69HDANqGL3WZXYTk5YDUTEt2HONTGbRsRz+f2xwB9KDG2gRkhaOyIeBJC0FjCi5Jj6JSKWhjkXDj9Gao5bqxZcusVHu91qpPhr/9KXysMqqRf3pVp/jvnPxISI+FN+/0HgfWXG1l9V2U5OWK2NAor10a/QRS1m+uGLwKTc/QqkdflMeeEMig9ExOaF97+UdCNQxX4EAU4AbpVU6zx1W6p/bQ/03r4E8K6IOLj2JiIul/TdMgMaBF29nZywWjubdGuHi0hVAP8JnFVuSP0XEVfk7pk2yIPuiYiXy4xpELwu6ZPA70jbaG/g9XJD6r+IOF3S5UAtCX8tIh4rM6ZB0lP7UjZb0tGkc8JB6mW/Uo19Gujq7eRWgn2QtBmwdX57bUTcWmY8AyFpD1IrpufyjrYp8L1ar+1VJGk0qVfprUg72N+AwyPi4RLD6jdJWwG3RcQLkvYhbaMfN+orsWokbQq8N7+t9L4EcxpfHANsQ/rtXQt8JyIq1+iiqJuPeU5Yfci3D1iFQmm0wv3U3RERG0namtQJ7g+Ab9RVqVmJJN0BbEy6kd5ZwGnAbhGxbamB9ZOkZSLi2SYt66jqwT0fF86MiH3KjmWwdfMxzz1dtCDpENJN9CYClwF/zM9VVasq2xn4ZURcAixSYjwDJul/JC0jaWFJV0uanUsmVfVavr3IrsBPIuLHVLsRyW/z882kpvu1R+19JUXE66RGTJXef+p1+zHPJawWJD0AbF61i1CbkXQZ8E9SS6bNgBeByRGxcamBDYCk2yJik9wv4kdJDUv+UtV1knQNcAWpJ5JtSH3T3RYRXdOf24KSJGBkt/xLHyySfkWqsp0AzLkesFuuWeqPbj/muYTV2nRSFzm94uOkHqV3ioingRWAr5Qa0cAtnJ8/BJxb1Sqmgj2Bl4EDc2OL1YHvlxvSwOQS40Vlx9EBj5JKH8NIpeDao8q6+pjnVoKtPUhqBv5H0kEEqO4/qIj4d+5rb2vgflKfe/eXG9WAXSrpHlJp8XP5BogvlRxTv+RzB7+JiDnX8uRSSde00hqAGyS9q9CfZeXVrl3qMV19zHPCam1afixCxc/1AEg6BhhLupr9dFLp5DekFnaVFBFfk/T/gGcj4nVJ/yad/6mcWvxVvVttH7YHDpb0MKn6TKTC10alRjUA+Vq5+c6pVPzu0F19zPM5rDZIWpq0c3XtraPbIek20j17bomId+Zhd1T8oLEEcAQwKiIOyteZrV/o9bxSJJ1Hur/XROY9L1LJzm8ljYqIaZLWbDS+ys31c/PvmsWAj5EazXy1pJB6nktYLeT7wZxNOteDpNnAf0XE1FID679XIiIkBczp6bzqTie1ONsyv59B6kqmkgmL1Crrj2UHMYguJnX184ikCyLiY2UHNFgior5T4r/lRjOV1e2lRies1sYDR+SbAiJpO+DXzD04Vs15uWXTcpI+DRxAWp8qWyci9pS0N0BEvJhbpVVSrRPcHlLcFmuXFkUH1F1bNozU8vYtJYUzWL5ceD2n1FhSLPNxwmptyVqyAoiISVUulUTEDyTtCDxLOo/1rYiYWHJYA/WKpMXJ/wolrUPhZHHVSHqIxv9wq3qwjyave0Gx1/bXgIeAA0uNaIC6vdTohNXag5K+SaoWhNRX2EMlxjNgOUFVPUkVHUO6bmmkpHNIDUj2KzWigRlbeL0Y6X5YDXuJqIiNJT1LOqgvnl/D3EYXlboNTJ23RcQ8LVIlLVpWMIOhQalxLF1UanSjixbyraK/TWoGLlJfYcdGxFOlBtZPdfeQWoTUSvCFih80kLQiqaGCgBsiYnbJIQ0qSddFxNZ9T2lDSdItEbFpX8OqpK6E/xrpBq/fiYjrSguqwCWsFnJiqmTrrEZq95CqkfRR4N3lRDOoFiPdRG8hYIwkIqJrbjq3IHIHsTW1f7hVvxi1p0h6C+mC7sUlvZO55+mWAZYoLbABkPQuYHrhXl/jSOevHgbuKjG0ebiE1YCkCa3GR8QuQxXLYJC0UEQ0PHEq6YaIeM9QxzRY8jVYewJTgTfy4KjaNqop3AcL5v7D/UFE3FtORFYvH8z3I/2ZKPaH+BxwRkRcWEZcAyHpFuB9EfEvSduQbtdzCLAJqepz9zLjq3HCakDSLFIXJecCNzJvS6c5t5yvilo1haTdCoNr/963jYgtSgptwCTdC2zUA/f1soqR9LGIuKDsOAaDpNtr/W9K+jkwKyKOze9vi4hNSgxvDlcJNvYWYEfSzQA/Qbou5twKX39V8xHmr5+uZEmk4EHSubieSFj5pP3HSHd5Ld7e4TtlxWSNRcQFknYGNiRVS9eGV3FbDS/UxOwAHFQY1zV5omsC6Sb51gFXAFfkA8jepP61vhMRPy03un5ZWdIRwD/qhgewL9AV/YT107+B2yRdzbx9n1X13OMlpM5Hb6ZHknCvknQy6ZzV9sApwO7A5FKD6r9zgWty5wgvAn8FkPRWuqgzXCesJnKi2pmUrEYDPwEqVzedDQeWoq5qs0dMyI9esUZE7FR2ENaWLfMNUe+IiG9L+iEVPUZExHH5T9+qwFUx91zRMNK5rK7ghNWApDOBtwOXA9+OiPqSSdXMrGg1RZ96sGeIv0t6R0TcWXYg1qcX8/O/Ja0G/AtYq8R4BiQibmgw7L4yYmnGCauxfUkdj64HHFro6aeqFzv2XMlK0p206Dmhah36SvoHqZXjQsD+kh4kVQlWvlfzHnaZpOWA/yFV4UKqGrQOccJqICJ67caWO5QdQAd8OD9/Pj/XeiP5JOm8VtWsTmpCbF2ucM3Sd/P7pYA7gXuAk8qMrde5WbtVmqS/RcRWfQ3rdlXvIeHNpCrXLPUil7Cs6paUtHWt6xhJWwJV7KC41pKzoW6546sBMDwi/pVf7wmMz9djXZDvOWcd4oRlVXcgcJqkZUnntJ4h3Talanq5JWevqcQ1S73IX65VWr4dwsaSliFVcXfNNSMLqGdbcvagSlyz1It8DssqTdIqwH8Dq0XEByWNAbaIiFNLDm2BSLo1It5ZdhzWHknvYe41Sy/kYesBS0XELaUG18OcsKzSJF0OnA4cFREbS1oIuDUi3lFyaAtE0gqF8yJm1kCvNd+2N5+VIuI8ck/t+bzC6+WGtOCcrMz65oRlVfdCvoFjwJyqGp9HMOtBrhK0SpJ0OPA3Uqu6E0ldaU0FRgB7RMTt5UVnZp3ghGWVJOkHwJbABqQeBv4JTAJ+HxGzSwzNzDrECcsqTdIipBtRbglskR9PR8SYUgMzs0Hn67Cs6hYHlgGWzY9HSf26mVmPcQnLKknSeNKdXp8DbgRuAG6IiKdKDczMOsatBK2qRgGLAo+Rzl/NAJ4uMyAz6yyXsKyylG5UtiHp/NWWpJaC/wKuj4hjyozNzAafE5ZVnqQ1gK1ISevDwIoRsVypQZnZoHPCskqSdCgpQW0FvEq6Juv6/HxnRLxRYnhm1gFuJWhVNRo4H/hiRMwsORYzGwIuYZmZWSW4laCZmVWCE5aZmVWCE5a96Ul6XdJtkqZKul3SEZI6um9I+n5e3vfrhm8nacvC+zMk7d7JWBZEt8Vjby5udGEGL0bEJgCSVgZ+S+rmqZPXcn0GGBERL9cN3w54Hvh7B5dtVkkuYZkVRMQTwEHAF5SMlvRXSbfkx5YAks6WtGvtc5LOkbRLcV7589+X9A9Jd0raMw+fACwJ3FgbloePBg4GvphLfO/No7aR9HdJDxZLN5K+IukmSXdI+nb9ukj6uKQT8+vDJD2YX68j6br8ejNJ10i6WdKVklYtTHNFHv5XSRs0mP93c4nLxxEbGhHhhx9v6gfwfINhTwGrAEsAi+Vh6wJT8uttgYvz62WBh4CF6ubxMWAiMDzPaxqwarNl5uHHAl8uvD8D+APpz+UY4IE8/P3AeNL9wIYBlwHb1M3rLcBN+fX5wE3A6sA44HhgYVJJbkSeZk/gtPz6amDd/Hpz4M+FeHYH/gf4FbmlsR9+DMXDVYJmjSk/Lwz8TNImwOvAegARcY2kn+cqxN2ACyLitbp5bA2cGxGvA49LugZ4FzBhAWO5ONKF0HdJWiUPe39+3JrfL0VKqNfWPhQRj0laStLSwEhSVec2wHuBC4H1Sd1ZTUy9XDEcmClpKdJF2X/IwyH121jzTeDGiDhoAdfDbECcsMzqSFqblJyeIJ3HehzYmFSSeakw6dnAJ4G9gAMazWqQQiqe51Lh+fiI+FUfn70e2B+4F/grKc4tgC+ROhCeGhFbFD8gaRnSPcU2aTLPm4DNJK0QEf9akBUxGwjXPZsVSBoBnAz8LCKCVN03M5dw9iWVQmrOAA4HiIipDWZ3LbCnpOF5vtsAk/sI4Tlg6TZCvRI4IJeGkLR6Lu01iuHL+flWYHvg5Yh4hpTERkjaIs9jYUkbRsSzwEOS9sjDJWnjwjyvAE4A/phLb2ZDwiUsM1hc0m2k6r/XSCWnE/O4XwAX5IP3X4AXah+KiMcl3Q1c3GS+F5FKM7cDAXw1Ih7rI5ZLgfNzg45Dmk0UEVdJehtwfa62ex7Yh1QqLPorqTrw2oh4XdJ04J48j1dyI46fSFqWdDz4ETCVVHL8paSj8/fyu7weteX/ISerCZI+FBEv9rFeZgPmrpnM+knSEqS7G2+aSyxm1kGuEjTrB0nvI5VUfupkZTY0XMIyM7NKcAnLzMwqwQnLzMwqwQnLzMwqwQnLzMwqwQnLzMwq4f8DntCdCEoZC64AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Days = mun_daysOfWeek\n",
    "Days['date']  = pd.to_datetime(Days['date'])\n",
    "Days['day_of_week'] = Days['date'].dt.dayofweek\n",
    "day_names = {0: 'Monday', 1: 'Tuesday', 2: 'Wednesday', 3: 'Thursday', 4: 'Friday', 5: 'Saturday', 6: 'Sunday'}\n",
    "\n",
    "# map points to results (so we can get day-specific win percentage)\n",
    "points2results = {3: 'win', 1: 'draw', 0: 'loss'}\n",
    "\n",
    "Days['result'] = Days['points'].map(points2results)\n",
    "\n",
    "matches_per_day = Days['day_of_week'].map(day_names).value_counts().reindex(day_names.values())\n",
    "print(matches_per_day)\n",
    "matches_per_day.plot(kind='bar', color='pink', edgecolor='blue')\n",
    "\n",
    "plt.title('Distribution of Manchester United Matches by day of the week')\n",
    "plt.xlabel('Day of the week')\n",
    "plt.ylabel('No. of matches played')\n",
    "\n",
    "# Show the plot\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is to be expected as Premier league matches are mostly played on the weekends (Sunday and Saturday) to avoid interference with domestic and European cup competitions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **Points generated per day and match outcome percentages per day**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# aggregating data -- points per day mean and win percentages per day\n",
    "day_stats = Days.groupby('day_of_week').agg({'points': 'mean'})\n",
    "\n",
    "day_stats = day_stats.reindex(day_names.keys()) # ordering\n",
    "\n",
    "result_pct = Days.groupby(['day_of_week', 'result']).size().unstack(fill_value=0)\n",
    "\n",
    "result_pct = result_pct.div(result_pct.sum(axis=1), axis=0) * 100\n",
    "\n",
    "# points per match\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(121)\n",
    "day_stats['points'].plot(kind='bar', color='skyblue', edgecolor='blue')\n",
    "plt.title('Avg Points per match by day of the week')\n",
    "plt.xlabel('Day')\n",
    "plt.ylabel('Avg points earned')\n",
    "plt.xticks(list(day_names.keys()), list(day_names.values()))\n",
    "\n",
    "# win/draw/loss percentage\n",
    "ax = plt.subplot(122)\n",
    "result_pct[['win', 'draw', 'loss']].plot(kind='bar', stacked=True, colormap='spring', ax=plt.gca())\n",
    "plt.title('Win-Draw-Loss Percentages by Day of the Week')\n",
    "plt.xlabel('Day of the Week')\n",
    "plt.ylabel('Win Percentage (%)')\n",
    "plt.xticks(list(day_names.keys()), list(day_names.values()))\n",
    "\n",
    "for p in ax.patches:\n",
    "    width, height = p.get_width(), p.get_height()\n",
    "    x, y = p.get_xy() \n",
    "    percentage = height\n",
    "    # percentage = height / sum(result_pct[['win', 'draw', 'loss']].loc[y]) * 100\n",
    "    ax.annotate(f'{percentage:.1f}%', (x + width/2, y + height/2), ha='left')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Manchester United are undefeated in all 8 seasons from 2008/09 to 2015/16 on Thursdays and Friday. Perhaps even more surprising is that during that time, they only played 5 games on those days. Outliers aside, we find that Manchester United's average performance over the 8 years didn't depend much on the day at all, notably only drawing more (and hence winning less) on Sundays. \n",
    "\n",
    "\n",
    "This is likely an effect of more exciting fixtures (closer games against harder opponents) being played on Sundays due to broadcasting considerations. A deeper dive into fixture history across the Premier League can confirm this."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Season Statistics: Manchester United, Goals Scored and Conceded, Win/Draw/Loss Percentages**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>home_scored</th>\n",
       "      <th>home_conceded</th>\n",
       "      <th>away_scored</th>\n",
       "      <th>away_conceded</th>\n",
       "      <th>home_wins</th>\n",
       "      <th>home_losses</th>\n",
       "      <th>home_draws</th>\n",
       "      <th>away_wins</th>\n",
       "      <th>away_losses</th>\n",
       "      <th>away_draws</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008/2009</td>\n",
       "      <td>43</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2009/2010</td>\n",
       "      <td>52</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010/2011</td>\n",
       "      <td>49</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>25</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011/2012</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>37</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012/2013</td>\n",
       "      <td>45</td>\n",
       "      <td>19</td>\n",
       "      <td>41</td>\n",
       "      <td>24</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2013/2014</td>\n",
       "      <td>29</td>\n",
       "      <td>21</td>\n",
       "      <td>35</td>\n",
       "      <td>22</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2014/2015</td>\n",
       "      <td>41</td>\n",
       "      <td>15</td>\n",
       "      <td>21</td>\n",
       "      <td>22</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2015/2016</td>\n",
       "      <td>27</td>\n",
       "      <td>9</td>\n",
       "      <td>22</td>\n",
       "      <td>26</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      season  home_scored  home_conceded  away_scored  away_conceded  \\\n",
       "0  2008/2009           43             13           25             11   \n",
       "1  2009/2010           52             12           34             16   \n",
       "2  2010/2011           49             12           29             25   \n",
       "3  2011/2012           52             19           37             14   \n",
       "4  2012/2013           45             19           41             24   \n",
       "5  2013/2014           29             21           35             22   \n",
       "6  2014/2015           41             15           21             22   \n",
       "7  2015/2016           27              9           22             26   \n",
       "\n",
       "   home_wins  home_losses  home_draws  away_wins  away_losses  away_draws  \n",
       "0         16            1           2         12            3           4  \n",
       "1         16            2           1         11            5           3  \n",
       "2         18            0           1          5            4          10  \n",
       "3         15            2           2         13            3           3  \n",
       "4         16            3           0         12            2           5  \n",
       "5          9            7           3         10            5           4  \n",
       "6         14            3           2          6            5           8  \n",
       "7         12            2           5          7            8           4  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's compare these seasons in terms of goals scored, goals conceded, and win/draw/loss percentages\n",
    "# some interesting home vs away form analysis possible with this summary\n",
    "\n",
    "SummaryBySeason = pd.read_sql(\"\"\"SELECT season,\n",
    "                            SUM(CASE WHEN m.home_team_api_id = 10260 THEN m.home_team_goal END) AS home_scored,\n",
    "                            SUM(CASE WHEN m.home_team_api_id = 10260 THEN m.away_team_goal END) AS home_conceded,\n",
    "                            SUM(CASE WHEN m.away_team_api_id = 10260 THEN m.away_team_goal END) AS away_scored,\n",
    "                            SUM(CASE WHEN m.away_team_api_id = 10260 THEN m.home_team_goal END) AS away_conceded,\n",
    "                            SUM(CASE WHEN m.home_team_api_id = 10260 AND m.home_team_goal > m.away_team_goal THEN 1 ELSE 0 END) AS home_wins,\n",
    "                            SUM(CASE WHEN m.home_team_api_id = 10260 AND m.home_team_goal < m.away_team_goal THEN 1 ELSE 0 END) AS home_losses,\n",
    "                            SUM(CASE WHEN m.home_team_api_id = 10260 AND m.home_team_goal = m.away_team_goal THEN 1 ELSE 0 END) As home_draws,\n",
    "                            SUM(CASE WHEN m.away_team_api_id = 10260 AND m.home_team_goal < m.away_team_goal THEN 1 ELSE 0 END) AS away_wins,\n",
    "                            SUM(CASE WHEN m.away_team_api_id = 10260 AND m.home_team_goal > m.away_team_goal THEN 1 ELSE 0 END) AS away_losses,\n",
    "                            SUM(CASE WHEN m.away_team_api_id = 10260 AND m.home_team_goal = m.away_team_goal THEN 1 ELSE 0 END) As away_draws\n",
    "                            FROM Match m\n",
    "                            LEFT JOIN Team AS HT on HT.team_api_id = m.home_team_api_id\n",
    "                            LEFT JOIN Team AS AT on AT.team_api_id = m.away_team_api_id\n",
    "                            WHERE m.home_team_api_id = 10260 OR m.away_team_api_id = 10260\n",
    "                            GROUP BY season;\"\"\", conn\n",
    "                            )\n",
    "SummaryBySeason"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_games_played</th>\n",
       "      <th>goals_scored</th>\n",
       "      <th>goals_conceded</th>\n",
       "      <th>win_pct</th>\n",
       "      <th>draw_pct</th>\n",
       "      <th>loss_pct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>38</td>\n",
       "      <td>68</td>\n",
       "      <td>24</td>\n",
       "      <td>73.684211</td>\n",
       "      <td>15.789474</td>\n",
       "      <td>10.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38</td>\n",
       "      <td>86</td>\n",
       "      <td>28</td>\n",
       "      <td>71.052632</td>\n",
       "      <td>10.526316</td>\n",
       "      <td>18.421053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>38</td>\n",
       "      <td>78</td>\n",
       "      <td>37</td>\n",
       "      <td>60.526316</td>\n",
       "      <td>28.947368</td>\n",
       "      <td>10.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>38</td>\n",
       "      <td>89</td>\n",
       "      <td>33</td>\n",
       "      <td>73.684211</td>\n",
       "      <td>13.157895</td>\n",
       "      <td>13.157895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>38</td>\n",
       "      <td>86</td>\n",
       "      <td>43</td>\n",
       "      <td>73.684211</td>\n",
       "      <td>13.157895</td>\n",
       "      <td>13.157895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>38</td>\n",
       "      <td>64</td>\n",
       "      <td>43</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>18.421053</td>\n",
       "      <td>31.578947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>38</td>\n",
       "      <td>62</td>\n",
       "      <td>37</td>\n",
       "      <td>52.631579</td>\n",
       "      <td>26.315789</td>\n",
       "      <td>21.052632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>38</td>\n",
       "      <td>49</td>\n",
       "      <td>35</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>23.684211</td>\n",
       "      <td>26.315789</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_games_played  goals_scored  goals_conceded    win_pct   draw_pct  \\\n",
       "0                  38            68              24  73.684211  15.789474   \n",
       "1                  38            86              28  71.052632  10.526316   \n",
       "2                  38            78              37  60.526316  28.947368   \n",
       "3                  38            89              33  73.684211  13.157895   \n",
       "4                  38            86              43  73.684211  13.157895   \n",
       "5                  38            64              43  50.000000  18.421053   \n",
       "6                  38            62              37  52.631579  26.315789   \n",
       "7                  38            49              35  50.000000  23.684211   \n",
       "\n",
       "    loss_pct  \n",
       "0  10.526316  \n",
       "1  18.421053  \n",
       "2  10.526316  \n",
       "3  13.157895  \n",
       "4  13.157895  \n",
       "5  31.578947  \n",
       "6  21.052632  \n",
       "7  26.315789  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "condensedSummary = pd.DataFrame()\n",
    "condensedSummary['total_games_played'] = SummaryBySeason['home_wins'] + SummaryBySeason['home_losses'] + SummaryBySeason['home_draws'] + SummaryBySeason[\"away_wins\"] + SummaryBySeason[\"away_losses\"] + SummaryBySeason[\"away_draws\"]\n",
    "condensedSummary[\"goals_scored\"] = SummaryBySeason[\"home_scored\"] + SummaryBySeason[\"away_scored\"]\n",
    "condensedSummary[\"goals_conceded\"] = SummaryBySeason[\"home_conceded\"] + SummaryBySeason[\"away_conceded\"]\n",
    "condensedSummary[\"win_pct\"] = (SummaryBySeason[\"home_wins\"] + SummaryBySeason[\"away_wins\"]) * 100/condensedSummary['total_games_played']\n",
    "condensedSummary[\"draw_pct\"] = (SummaryBySeason[\"home_draws\"] + SummaryBySeason[\"away_draws\"]) * 100/condensedSummary['total_games_played']\n",
    "condensedSummary[\"loss_pct\"] = (SummaryBySeason[\"home_losses\"] + SummaryBySeason[\"away_losses\"]) * 100/condensedSummary['total_games_played']\n",
    "condensedSummary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# allow easy entry of SQL queries\n",
    "def dbsql(str, con=conn):\n",
    "\n",
    "    data = pd.read_sql('''{}'''.format(str), con)\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>country_id</th>\n",
       "      <th>league_id</th>\n",
       "      <th>season</th>\n",
       "      <th>stage</th>\n",
       "      <th>date</th>\n",
       "      <th>match_api_id</th>\n",
       "      <th>home_team_api_id</th>\n",
       "      <th>away_team_api_id</th>\n",
       "      <th>home_team_goal</th>\n",
       "      <th>...</th>\n",
       "      <th>SJA</th>\n",
       "      <th>VCH</th>\n",
       "      <th>VCD</th>\n",
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       "      <th>GBA</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>25975</td>\n",
       "      <td>24558</td>\n",
       "      <td>24558</td>\n",
       "      <td>2015/2016</td>\n",
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       "      <td>2015-09-22 00:00:00</td>\n",
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       "      <td>10190</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>25975</th>\n",
       "      <td>25976</td>\n",
       "      <td>24558</td>\n",
       "      <td>24558</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-09-23 00:00:00</td>\n",
       "      <td>1992092</td>\n",
       "      <td>9824</td>\n",
       "      <td>10199</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>25976</th>\n",
       "      <td>25977</td>\n",
       "      <td>24558</td>\n",
       "      <td>24558</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-09-23 00:00:00</td>\n",
       "      <td>1992093</td>\n",
       "      <td>9956</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>25977</th>\n",
       "      <td>25978</td>\n",
       "      <td>24558</td>\n",
       "      <td>24558</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-09-22 00:00:00</td>\n",
       "      <td>1992094</td>\n",
       "      <td>7896</td>\n",
       "      <td>10243</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25978</th>\n",
       "      <td>25979</td>\n",
       "      <td>24558</td>\n",
       "      <td>24558</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-09-23 00:00:00</td>\n",
       "      <td>1992095</td>\n",
       "      <td>10192</td>\n",
       "      <td>9931</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25979 rows × 115 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  country_id  league_id     season  stage                 date  \\\n",
       "0          1           1          1  2008/2009      1  2008-08-17 00:00:00   \n",
       "1          2           1          1  2008/2009      1  2008-08-16 00:00:00   \n",
       "2          3           1          1  2008/2009      1  2008-08-16 00:00:00   \n",
       "3          4           1          1  2008/2009      1  2008-08-17 00:00:00   \n",
       "4          5           1          1  2008/2009      1  2008-08-16 00:00:00   \n",
       "...      ...         ...        ...        ...    ...                  ...   \n",
       "25974  25975       24558      24558  2015/2016      9  2015-09-22 00:00:00   \n",
       "25975  25976       24558      24558  2015/2016      9  2015-09-23 00:00:00   \n",
       "25976  25977       24558      24558  2015/2016      9  2015-09-23 00:00:00   \n",
       "25977  25978       24558      24558  2015/2016      9  2015-09-22 00:00:00   \n",
       "25978  25979       24558      24558  2015/2016      9  2015-09-23 00:00:00   \n",
       "\n",
       "       match_api_id  home_team_api_id  away_team_api_id  home_team_goal  ...  \\\n",
       "0            492473              9987              9993               1  ...   \n",
       "1            492474             10000              9994               0  ...   \n",
       "2            492475              9984              8635               0  ...   \n",
       "3            492476              9991              9998               5  ...   \n",
       "4            492477              7947              9985               1  ...   \n",
       "...             ...               ...               ...             ...  ...   \n",
       "25974       1992091             10190             10191               1  ...   \n",
       "25975       1992092              9824             10199               1  ...   \n",
       "25976       1992093              9956             10179               2  ...   \n",
       "25977       1992094              7896             10243               0  ...   \n",
       "25978       1992095             10192              9931               4  ...   \n",
       "\n",
       "        SJA   VCH   VCD   VCA   GBH   GBD   GBA   BSH   BSD   BSA  \n",
       "0      4.00  1.65  3.40  4.50  1.78  3.25  4.00  1.73  3.40  4.20  \n",
       "1      3.80  2.00  3.25  3.25  1.85  3.25  3.75  1.91  3.25  3.60  \n",
       "2      2.50  2.35  3.25  2.65  2.50  3.20  2.50  2.30  3.20  2.75  \n",
       "3      7.50  1.45  3.75  6.50  1.50  3.75  5.50  1.44  3.75  6.50  \n",
       "4      1.73  4.50  3.40  1.65  4.50  3.50  1.65  4.75  3.30  1.67  \n",
       "...     ...   ...   ...   ...   ...   ...   ...   ...   ...   ...  \n",
       "25974   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "25975   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "25976   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "25977   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "25978   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \n",
       "\n",
       "[25979 rows x 115 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dbsql('SELECT * FROM match')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Margin of victory**\n",
    "\n",
    "What leagues are more likely to have a big victory, once there is a winner?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>season</th>\n",
       "      <th>no. of games played</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2009/2010</td>\n",
       "      <td>210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2010/2011</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2012/2013</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2012/2013</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2013/2014</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2014/2015</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>88 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        country     season  no. of games played\n",
       "0       Belgium  2008/2009                  306\n",
       "1       Belgium  2009/2010                  210\n",
       "2       Belgium  2010/2011                  240\n",
       "3       Belgium  2011/2012                  240\n",
       "4       Belgium  2012/2013                  240\n",
       "..          ...        ...                  ...\n",
       "83  Switzerland  2011/2012                  162\n",
       "84  Switzerland  2012/2013                  180\n",
       "85  Switzerland  2013/2014                  180\n",
       "86  Switzerland  2014/2015                  180\n",
       "87  Switzerland  2015/2016                  180\n",
       "\n",
       "[88 rows x 3 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_games = dbsql(\"\"\"SELECT c.name AS country,\n",
    "                  m.season AS season,\n",
    "                  COUNT(DISTINCT(m.match_api_id)) AS 'no. of games played'\n",
    "                  FROM match as m\n",
    "                  LEFT JOIN country as c\n",
    "                  ON m.country_id = c.id\n",
    "                  GROUP BY Country, Season\"\"\")\n",
    "num_games # total number of games played in each country in each season"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>season</th>\n",
       "      <th>Margin of victory</th>\n",
       "      <th>matches with a winner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>427</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2009/2010</td>\n",
       "      <td>281</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2010/2011</td>\n",
       "      <td>329</td>\n",
       "      <td>178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>315</td>\n",
       "      <td>175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2012/2013</td>\n",
       "      <td>343</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>227</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2012/2013</td>\n",
       "      <td>262</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2013/2014</td>\n",
       "      <td>256</td>\n",
       "      <td>139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2014/2015</td>\n",
       "      <td>241</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>264</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>88 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        country     season  Margin of victory  matches with a winner\n",
       "0       Belgium  2008/2009                427                    239\n",
       "1       Belgium  2009/2010                281                    159\n",
       "2       Belgium  2010/2011                329                    178\n",
       "3       Belgium  2011/2012                315                    175\n",
       "4       Belgium  2012/2013                343                    181\n",
       "..          ...        ...                ...                    ...\n",
       "83  Switzerland  2011/2012                227                    122\n",
       "84  Switzerland  2012/2013                262                    135\n",
       "85  Switzerland  2013/2014                256                    139\n",
       "86  Switzerland  2014/2015                241                    132\n",
       "87  Switzerland  2015/2016                264                    133\n",
       "\n",
       "[88 rows x 4 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "marginOfVictory = dbsql(\"\"\"SELECT c.name AS country,\n",
    "                        m.season AS season,\n",
    "                        SUM(CASE WHEN m.home_team_goal != m.away_team_goal THEN ABS(m.home_team_goal - m.away_team_goal) END) AS 'Margin of victory',\n",
    "                        SUM(CASE WHEN m.home_team_goal != m.away_team_goal THEN 1 END) AS 'matches with a winner'\n",
    "                        FROM match as m\n",
    "                        LEFT JOIN country as c\n",
    "                        ON m.country_id = c.id\n",
    "                        GROUP BY Country, Season\n",
    "                        \"\"\")\n",
    "marginOfVictory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>season</th>\n",
       "      <th>Margin of victory</th>\n",
       "      <th>matches with a winner</th>\n",
       "      <th>Avg_MOV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>537</td>\n",
       "      <td>243</td>\n",
       "      <td>2.210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2012/2013</td>\n",
       "      <td>482</td>\n",
       "      <td>228</td>\n",
       "      <td>2.114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2010/2011</td>\n",
       "      <td>491</td>\n",
       "      <td>235</td>\n",
       "      <td>2.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>476</td>\n",
       "      <td>230</td>\n",
       "      <td>2.070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2009/2010</td>\n",
       "      <td>307</td>\n",
       "      <td>151</td>\n",
       "      <td>2.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Germany</td>\n",
       "      <td>2013/2014</td>\n",
       "      <td>489</td>\n",
       "      <td>242</td>\n",
       "      <td>2.021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>270</td>\n",
       "      <td>135</td>\n",
       "      <td>2.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2009/2010</td>\n",
       "      <td>488</td>\n",
       "      <td>244</td>\n",
       "      <td>2.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Germany</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>453</td>\n",
       "      <td>227</td>\n",
       "      <td>1.996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>462</td>\n",
       "      <td>232</td>\n",
       "      <td>1.991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>264</td>\n",
       "      <td>133</td>\n",
       "      <td>1.985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Spain</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>571</td>\n",
       "      <td>288</td>\n",
       "      <td>1.983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2013/2014</td>\n",
       "      <td>440</td>\n",
       "      <td>222</td>\n",
       "      <td>1.982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>England</td>\n",
       "      <td>2009/2010</td>\n",
       "      <td>559</td>\n",
       "      <td>284</td>\n",
       "      <td>1.968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Spain</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>560</td>\n",
       "      <td>286</td>\n",
       "      <td>1.958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2014/2015</td>\n",
       "      <td>454</td>\n",
       "      <td>233</td>\n",
       "      <td>1.948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Spain</td>\n",
       "      <td>2014/2015</td>\n",
       "      <td>563</td>\n",
       "      <td>289</td>\n",
       "      <td>1.948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2012/2013</td>\n",
       "      <td>262</td>\n",
       "      <td>135</td>\n",
       "      <td>1.941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Spain</td>\n",
       "      <td>2013/2014</td>\n",
       "      <td>569</td>\n",
       "      <td>294</td>\n",
       "      <td>1.935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>2014/2015</td>\n",
       "      <td>425</td>\n",
       "      <td>221</td>\n",
       "      <td>1.923</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        country     season  Margin of victory  matches with a winner  Avg_MOV\n",
       "43  Netherlands  2011/2012                537                    243    2.210\n",
       "44  Netherlands  2012/2013                482                    228    2.114\n",
       "42  Netherlands  2010/2011                491                    235    2.089\n",
       "40  Netherlands  2008/2009                476                    230    2.070\n",
       "81  Switzerland  2009/2010                307                    151    2.033\n",
       "29      Germany  2013/2014                489                    242    2.021\n",
       "80  Switzerland  2008/2009                270                    135    2.000\n",
       "41  Netherlands  2009/2010                488                    244    2.000\n",
       "27      Germany  2011/2012                453                    227    1.996\n",
       "47  Netherlands  2015/2016                462                    232    1.991\n",
       "87  Switzerland  2015/2016                264                    133    1.985\n",
       "79        Spain  2015/2016                571                    288    1.983\n",
       "45  Netherlands  2013/2014                440                    222    1.982\n",
       "9       England  2009/2010                559                    284    1.968\n",
       "75        Spain  2011/2012                560                    286    1.958\n",
       "46  Netherlands  2014/2015                454                    233    1.948\n",
       "78        Spain  2014/2015                563                    289    1.948\n",
       "84  Switzerland  2012/2013                262                    135    1.941\n",
       "77        Spain  2013/2014                569                    294    1.935\n",
       "62     Portugal  2014/2015                425                    221    1.923"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# seasons with highest (and lowest) average margin of victory\n",
    "avg_MOV = marginOfVictory\n",
    "avg_MOV['Avg_MOV'] = round(marginOfVictory['Margin of victory']/marginOfVictory['matches with a winner'], 3)\n",
    "avg_MOV\n",
    "\n",
    "# Find individual seasons with the highest and lowest margins of victories\n",
    "highestMOV = avg_MOV.sort_values('Avg_MOV', ascending=False).head(20)\n",
    "lowestMOV = avg_MOV.sort_values('Avg_MOV', ascending=False).tail(20)\n",
    "\n",
    "highestMOV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>season</th>\n",
       "      <th>Margin of victory</th>\n",
       "      <th>matches with a winner</th>\n",
       "      <th>Avg_MOV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>2012/2013</td>\n",
       "      <td>309</td>\n",
       "      <td>179</td>\n",
       "      <td>1.726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Poland</td>\n",
       "      <td>2014/2015</td>\n",
       "      <td>300</td>\n",
       "      <td>174</td>\n",
       "      <td>1.724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Italy</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>488</td>\n",
       "      <td>285</td>\n",
       "      <td>1.712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Poland</td>\n",
       "      <td>2010/2011</td>\n",
       "      <td>308</td>\n",
       "      <td>180</td>\n",
       "      <td>1.711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>England</td>\n",
       "      <td>2014/2015</td>\n",
       "      <td>491</td>\n",
       "      <td>287</td>\n",
       "      <td>1.711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>France</td>\n",
       "      <td>2013/2014</td>\n",
       "      <td>465</td>\n",
       "      <td>272</td>\n",
       "      <td>1.710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>France</td>\n",
       "      <td>2014/2015</td>\n",
       "      <td>499</td>\n",
       "      <td>292</td>\n",
       "      <td>1.709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>2013/2014</td>\n",
       "      <td>307</td>\n",
       "      <td>180</td>\n",
       "      <td>1.706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Scotland</td>\n",
       "      <td>2009/2010</td>\n",
       "      <td>281</td>\n",
       "      <td>165</td>\n",
       "      <td>1.703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Poland</td>\n",
       "      <td>2012/2013</td>\n",
       "      <td>300</td>\n",
       "      <td>177</td>\n",
       "      <td>1.695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>2010/2011</td>\n",
       "      <td>294</td>\n",
       "      <td>174</td>\n",
       "      <td>1.690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>France</td>\n",
       "      <td>2010/2011</td>\n",
       "      <td>420</td>\n",
       "      <td>250</td>\n",
       "      <td>1.680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>France</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>450</td>\n",
       "      <td>272</td>\n",
       "      <td>1.654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Poland</td>\n",
       "      <td>2011/2012</td>\n",
       "      <td>289</td>\n",
       "      <td>175</td>\n",
       "      <td>1.651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Italy</td>\n",
       "      <td>2010/2011</td>\n",
       "      <td>461</td>\n",
       "      <td>283</td>\n",
       "      <td>1.629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Scotland</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>274</td>\n",
       "      <td>169</td>\n",
       "      <td>1.621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Italy</td>\n",
       "      <td>2009/2010</td>\n",
       "      <td>444</td>\n",
       "      <td>278</td>\n",
       "      <td>1.597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>280</td>\n",
       "      <td>176</td>\n",
       "      <td>1.591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Poland</td>\n",
       "      <td>2009/2010</td>\n",
       "      <td>278</td>\n",
       "      <td>175</td>\n",
       "      <td>1.589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>France</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>416</td>\n",
       "      <td>268</td>\n",
       "      <td>1.552</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     country     season  Margin of victory  matches with a winner  Avg_MOV\n",
       "60  Portugal  2012/2013                309                    179    1.726\n",
       "54    Poland  2014/2015                300                    174    1.724\n",
       "32     Italy  2008/2009                488                    285    1.712\n",
       "50    Poland  2010/2011                308                    180    1.711\n",
       "14   England  2014/2015                491                    287    1.711\n",
       "21    France  2013/2014                465                    272    1.710\n",
       "22    France  2014/2015                499                    292    1.709\n",
       "61  Portugal  2013/2014                307                    180    1.706\n",
       "65  Scotland  2009/2010                281                    165    1.703\n",
       "52    Poland  2012/2013                300                    177    1.695\n",
       "58  Portugal  2010/2011                294                    174    1.690\n",
       "18    France  2010/2011                420                    250    1.680\n",
       "19    France  2011/2012                450                    272    1.654\n",
       "51    Poland  2011/2012                289                    175    1.651\n",
       "34     Italy  2010/2011                461                    283    1.629\n",
       "64  Scotland  2008/2009                274                    169    1.621\n",
       "33     Italy  2009/2010                444                    278    1.597\n",
       "56  Portugal  2008/2009                280                    176    1.591\n",
       "49    Poland  2009/2010                278                    175    1.589\n",
       "16    France  2008/2009                416                    268    1.552"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lowestMOV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fb129244c10>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# average margin of victory overall\n",
    "df = avg_MOV.groupby(['country']).sum()\n",
    "df['Avg_avg_MOV'] = round(df['Avg_MOV']/8, 3)\n",
    "df.columns\n",
    "\n",
    "# PLOT MOV INFO per league in descending order\n",
    "df = df.reset_index()\n",
    "df.sort_values('Avg_avg_MOV', inplace=True, ascending=False)\n",
    "df\n",
    "sns.catplot(data = df, x='Avg_avg_MOV', y='country', kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>Margin of victory</th>\n",
       "      <th>matches with a winner</th>\n",
       "      <th>Avg_MOV</th>\n",
       "      <th>Avg_avg_MOV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>3830</td>\n",
       "      <td>1867</td>\n",
       "      <td>16.404</td>\n",
       "      <td>2.050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Germany</td>\n",
       "      <td>3543</td>\n",
       "      <td>1851</td>\n",
       "      <td>15.309</td>\n",
       "      <td>1.914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>2060</td>\n",
       "      <td>1076</td>\n",
       "      <td>15.294</td>\n",
       "      <td>1.912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Spain</td>\n",
       "      <td>4418</td>\n",
       "      <td>2336</td>\n",
       "      <td>15.135</td>\n",
       "      <td>1.892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>England</td>\n",
       "      <td>4120</td>\n",
       "      <td>2257</td>\n",
       "      <td>14.592</td>\n",
       "      <td>1.824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>2371</td>\n",
       "      <td>1303</td>\n",
       "      <td>14.543</td>\n",
       "      <td>1.818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Scotland</td>\n",
       "      <td>2492</td>\n",
       "      <td>1377</td>\n",
       "      <td>14.464</td>\n",
       "      <td>1.808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>2677</td>\n",
       "      <td>1519</td>\n",
       "      <td>14.028</td>\n",
       "      <td>1.754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Italy</td>\n",
       "      <td>3807</td>\n",
       "      <td>2221</td>\n",
       "      <td>13.716</td>\n",
       "      <td>1.714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Poland</td>\n",
       "      <td>2380</td>\n",
       "      <td>1395</td>\n",
       "      <td>13.654</td>\n",
       "      <td>1.707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>France</td>\n",
       "      <td>3719</td>\n",
       "      <td>2181</td>\n",
       "      <td>13.636</td>\n",
       "      <td>1.704</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        country  Margin of victory  matches with a winner  Avg_MOV  \\\n",
       "5   Netherlands               3830                   1867   16.404   \n",
       "3       Germany               3543                   1851   15.309   \n",
       "10  Switzerland               2060                   1076   15.294   \n",
       "9         Spain               4418                   2336   15.135   \n",
       "1       England               4120                   2257   14.592   \n",
       "0       Belgium               2371                   1303   14.543   \n",
       "8      Scotland               2492                   1377   14.464   \n",
       "7      Portugal               2677                   1519   14.028   \n",
       "4         Italy               3807                   2221   13.716   \n",
       "6        Poland               2380                   1395   13.654   \n",
       "2        France               3719                   2181   13.636   \n",
       "\n",
       "    Avg_avg_MOV  \n",
       "5         2.050  \n",
       "3         1.914  \n",
       "10        1.912  \n",
       "9         1.892  \n",
       "1         1.824  \n",
       "0         1.818  \n",
       "8         1.808  \n",
       "7         1.754  \n",
       "4         1.714  \n",
       "6         1.707  \n",
       "2         1.704  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We find that the Eredivisie (Netherlands), Bundesliga (Germany) and La Liga (Spain) have bigger margins of victory (excluding draws, although including draws does not change the trend!), whereas Ligue 1 (France), Serie A (Italy) and Ekstraklasa (Poland) had more games where one team eked past another.\n",
    "\n",
    "### Similar Questions\n",
    "\n",
    "Similar analyses can be done fairly easily to determine the highest-scoring teams, leagues or seasons, or stingiest defences in Europe throughout the period, and many more..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What can we learn from the data?\n",
    "\n",
    "The player_attrbutes data allows us to address some interesting phenomena in world football.\n",
    "\n",
    "- are left footed players more creative or technicaly gifted? Break this down to identifying whether or not there is a significant statistical difference between the distributions of chosen stats of dribbling, long passing and ball control between right and left footed players?\n",
    "- Future: are left footed player overrepresented in particular birth months? We already know left-footers are generally overrepresented in football! (21% of one-footed players in the dataset vs 11.7% of one-footed people in the world)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cid</th>\n",
       "      <th>name</th>\n",
       "      <th>type</th>\n",
       "      <th>notnull</th>\n",
       "      <th>dflt_value</th>\n",
       "      <th>pk</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>id</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>player_fifa_api_id</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>player_api_id</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>date</td>\n",
       "      <td>TEXT</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>overall_rating</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>potential</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>preferred_foot</td>\n",
       "      <td>TEXT</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>attacking_work_rate</td>\n",
       "      <td>TEXT</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>defensive_work_rate</td>\n",
       "      <td>TEXT</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>crossing</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>finishing</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>heading_accuracy</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>short_passing</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>volleys</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>dribbling</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>curve</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>free_kick_accuracy</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>long_passing</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>ball_control</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>sprint_speed</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>agility</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>reactions</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>balance</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>shot_power</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>jumping</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>stamina</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>strength</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>long_shots</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>aggression</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>30</td>\n",
       "      <td>interceptions</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>31</td>\n",
       "      <td>positioning</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>32</td>\n",
       "      <td>vision</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>33</td>\n",
       "      <td>penalties</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>34</td>\n",
       "      <td>marking</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>35</td>\n",
       "      <td>standing_tackle</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>36</td>\n",
       "      <td>sliding_tackle</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>37</td>\n",
       "      <td>gk_diving</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>38</td>\n",
       "      <td>gk_handling</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>39</td>\n",
       "      <td>gk_kicking</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>40</td>\n",
       "      <td>gk_positioning</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>41</td>\n",
       "      <td>gk_reflexes</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    cid                 name     type  notnull dflt_value  pk\n",
       "0     0                   id  INTEGER        0       None   1\n",
       "1     1   player_fifa_api_id  INTEGER        0       None   0\n",
       "2     2        player_api_id  INTEGER        0       None   0\n",
       "3     3                 date     TEXT        0       None   0\n",
       "4     4       overall_rating  INTEGER        0       None   0\n",
       "5     5            potential  INTEGER        0       None   0\n",
       "6     6       preferred_foot     TEXT        0       None   0\n",
       "7     7  attacking_work_rate     TEXT        0       None   0\n",
       "8     8  defensive_work_rate     TEXT        0       None   0\n",
       "9     9             crossing  INTEGER        0       None   0\n",
       "10   10            finishing  INTEGER        0       None   0\n",
       "11   11     heading_accuracy  INTEGER        0       None   0\n",
       "12   12        short_passing  INTEGER        0       None   0\n",
       "13   13              volleys  INTEGER        0       None   0\n",
       "14   14            dribbling  INTEGER        0       None   0\n",
       "15   15                curve  INTEGER        0       None   0\n",
       "16   16   free_kick_accuracy  INTEGER        0       None   0\n",
       "17   17         long_passing  INTEGER        0       None   0\n",
       "18   18         ball_control  INTEGER        0       None   0\n",
       "19   19         acceleration  INTEGER        0       None   0\n",
       "20   20         sprint_speed  INTEGER        0       None   0\n",
       "21   21              agility  INTEGER        0       None   0\n",
       "22   22            reactions  INTEGER        0       None   0\n",
       "23   23              balance  INTEGER        0       None   0\n",
       "24   24           shot_power  INTEGER        0       None   0\n",
       "25   25              jumping  INTEGER        0       None   0\n",
       "26   26              stamina  INTEGER        0       None   0\n",
       "27   27             strength  INTEGER        0       None   0\n",
       "28   28           long_shots  INTEGER        0       None   0\n",
       "29   29           aggression  INTEGER        0       None   0\n",
       "30   30        interceptions  INTEGER        0       None   0\n",
       "31   31          positioning  INTEGER        0       None   0\n",
       "32   32               vision  INTEGER        0       None   0\n",
       "33   33            penalties  INTEGER        0       None   0\n",
       "34   34              marking  INTEGER        0       None   0\n",
       "35   35      standing_tackle  INTEGER        0       None   0\n",
       "36   36       sliding_tackle  INTEGER        0       None   0\n",
       "37   37            gk_diving  INTEGER        0       None   0\n",
       "38   38          gk_handling  INTEGER        0       None   0\n",
       "39   39           gk_kicking  INTEGER        0       None   0\n",
       "40   40       gk_positioning  INTEGER        0       None   0\n",
       "41   41          gk_reflexes  INTEGER        0       None   0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dbsql('select * from information_schema.columns where table_name = player_attributes')\n",
    "dbsql('pragma table_info(player_attributes)') # get all column names from player attributes\n",
    "# dbsql('pragma table_info(player)') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' NEEDS SOME CLEANING: some players have used both feet (remove them), player stats with NaN should also be removed, remove None for foot'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dbsql(\"Select * from player where player_name = 'Lionel Messi'\")\n",
    "footed = dbsql(\"\"\"select distinct p.player_api_id as id,\n",
    "      p.player_name as player,\n",
    "      p.birthday as birthday,\n",
    "      q.preferred_foot as foot,\n",
    "      max(q.dribbling) as dribbling,\n",
    "      max(q.long_passing) as lng,\n",
    "      max(q.ball_control) as touch\n",
    "      from player p\n",
    "      left join player_attributes as q on p.player_api_id = q.player_api_id\n",
    "      group by p.player_api_id, q.preferred_foot;\n",
    "      \"\"\")\n",
    "footed\n",
    "\n",
    "\"\"\" NEEDS SOME CLEANING: some players have used both feet (remove them), player stats with NaN should also be removed, remove None for foot\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = footed.dropna() #remove all nans and nones\n",
    "player_foot_stats = f.drop_duplicates(subset = ['id', 'player'], keep = False) # drop all duplicates -- players who use both feet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "player_foot_stats\n",
    "group = player_foot_stats.groupby(player_foot_stats['foot'] == 'left')\n",
    "\n",
    "leftStats = group.get_group(True)\n",
    "rightStats = group.get_group(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
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       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">dribbling</th>\n",
       "      <th colspan=\"8\" halign=\"left\">lng</th>\n",
       "      <th colspan=\"8\" halign=\"left\">touch</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>foot</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>left</th>\n",
       "      <td>2081.0</td>\n",
       "      <td>64.674195</td>\n",
       "      <td>13.905054</td>\n",
       "      <td>11.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>2081.0</td>\n",
       "      <td>62.489188</td>\n",
       "      <td>12.150063</td>\n",
       "      <td>20.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>2081.0</td>\n",
       "      <td>67.530514</td>\n",
       "      <td>11.805725</td>\n",
       "      <td>13.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>97.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>right</th>\n",
       "      <td>7858.0</td>\n",
       "      <td>60.382667</td>\n",
       "      <td>17.575026</td>\n",
       "      <td>6.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>7858.0</td>\n",
       "      <td>60.046704</td>\n",
       "      <td>13.795096</td>\n",
       "      <td>12.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>7858.0</td>\n",
       "      <td>64.230593</td>\n",
       "      <td>15.831114</td>\n",
       "      <td>9.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>97.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      dribbling                                                         lng  \\\n",
       "          count       mean        std   min   25%   50%   75%   max   count   \n",
       "foot                                                                          \n",
       "left     2081.0  64.674195  13.905054  11.0  58.0  67.0  74.0  97.0  2081.0   \n",
       "right    7858.0  60.382667  17.575026   6.0  52.0  65.0  73.0  97.0  7858.0   \n",
       "\n",
       "                                                            touch             \\\n",
       "            mean        std   min   25%   50%   75%   max   count       mean   \n",
       "foot                                                                           \n",
       "left   62.489188  12.150063  20.0  56.0  64.0  71.0  94.0  2081.0  67.530514   \n",
       "right  60.046704  13.795096  12.0  53.0  62.0  70.0  97.0  7858.0  64.230593   \n",
       "\n",
       "                                                \n",
       "             std   min   25%   50%   75%   max  \n",
       "foot                                            \n",
       "left   11.805725  13.0  63.0  69.0  75.0  97.0  \n",
       "right  15.831114   9.0  60.0  68.0  75.0  97.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "leftStats\n",
    "rightStats\n",
    "pd.set_option('display.max_columns', None)\n",
    "display(player_foot_stats[player_foot_stats.columns.difference(['id'])].groupby(\"foot\").describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# address some interesting phenomena in football --\n",
    "\"\"\"are left footed players more creative?/more technically gifted? might have to account for goalkeepers\n",
    "      --- are left footed players more likely to have higher dribbling, long passing and ball control stats\n",
    "      are left footed players overrepresented in particular birth months?\n",
    "\n",
    "P(stat = S|LF) = P(LF|stat=S)P(stat=S)/P(LF)\n",
    "\"\"\"\n",
    "\n",
    "x = sns.distplot(a=leftStats.dribbling)\n",
    "y = sns.distplot(a=rightStats.dribbling)\n",
    "plt.legend(labels=['left', 'right'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = sns.distplot(a=leftStats.touch)\n",
    "y = sns.distplot(a=rightStats.touch)\n",
    "plt.legend(labels=['left', 'right'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = sns.distplot(a=leftStats.lng)\n",
    "y = sns.distplot(a=rightStats.lng)\n",
    "plt.legend(labels=['left', 'right'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Statistical Comparisons**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "statistically significant difference between left and right footed players.\n"
     ]
    },
    {
     "data": {
      "image/png": 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zTXYk7Qm8EbgKICI2pSG5Z5Ld1Y30fExf6zAzs76p1NF8IzASQNKhwE3AI8ChwDf6UedLgQ7gPyQtlvRdSSOBljQsd/fw3PuUWlnSqZIWSlrY0dHRjzDMzKynSklheER0X4/wfuDqiPgS8EHg8H7UOQR4NdmtPV8FrKMXh4oi4sqIaIuItvHjx/cjDDMz66lSUlDR66PIjvMTEVv7WedjwGMR8fs0/SOyJNEuaQJAen6qn/WYmVkvVUoKd0i6UdJXgDHAHVDYYW/qa4UR8STwaNFQGUcDfwTmAielspPwPRvMzOqu0nUKHwXeC0wAjoiIzan8/wCz+1nvWcAPUof1w2SHpJqAGyXNIuu7OLafdZiZWS+VTQqRnUR8Q4nyxf2tNCLuA9pKzDq6v9s2M7O+q+YezWZm1iCcFMzMrKCqpCBpuO+hYGY2+FUzSuo7yW7D+cs0faikuTWOy8zMclDNKKkXkl2sdidkncSSWmsXku0skna8UD+NGTOm5nWYWf1UkxS2RMQz9djB2M7TlxEoJdXlFp5mNnBVkxSWSHof0CxpEvBh4De1DcvMzPJQTUfzWWQ32tkIXA88Q3Zhm5mZDTLVtBQOjojZ9P8qZjMzG+CqaSl8WdKfJP2bpCk7XtzMzHZVO0wKEXEkMI3sHghXSnpA0gW1DszMzOqvqovXIuLJiPgqcBrZNQufrmVQZjb4Sarpw6dL980O+xQkTSYbLfU9wNNkg+SdXeO4zGwQ6+2pzz5dun6q6Wj+D2AO8A9Fd2IzM7NBaIdJISJeU49AzMwsf2WTgqQbI+I4SQ8Axe02kd1u4ZCaR2dmZnVVqaXwkfT8jnoEYmZm+St79lFErEwvz4iIFcUP4Iz6hGdmZvVUzSmp00uUvXVnB2JmZvmr1KdwOlmL4KWS7i+atQfw61oHZmZm9VepT+F64BfAF4Bzi8qfi4jOmkZlZma5KJsUIuIZshFRTwCQtA+wOzBK0qiIeKQ+IZqZWb1UdTtOSUuBZcBdwHKyFoSZmQ0y1XQ0fw54DfCXiHgJcDTuUzAzG5SqSQqbI+JpoElSU0TMBw6tbVhmZpaHasY+WiNpFPAr4AeSngK21DYsMzPLQzUthZnA82S34Pwl8DfgnTWMyczMclLNgHjrJB0ATIqIayWNAJprH5qZmdVbNWcfnQL8CPh2KtoP+EkNYzIzs5xUc/joTOD1wLMAEbEU2KeWQZmZWT6qSQobI2JT94SkIWw7lLaZmQ0S1SSFuySdDwyXNB24Cbi1tmGZmVkeqkkKnwQ6gAeADwE/By6oZVBmZpaPimcfSWoC7o+IqcB36hOSmZnlpWJLISK2An+Q9OI6xWNmZjmq5ormCcCDku4B1nUXRsS7ahaVmZnlopqk8NmaR2FmZgNCpTuvHQi0RMRdPcrfCDxe68DMzKz+KvUpXA48V6L8+TSvXyQ1S1os6adpeqyk2yUtTc9j+luHmZn1TqWk0BoR9/csjIiFQOtOqPsjwENF0+cC8yJiEjCPbW8BamZmdVApKexeYd7w/lQqaX/g7cB3i4pnAtem19cCx/SnDjMz671KSeHeNBjeNiTNAhb1s97LgU8AW4vKWiJiJUB6Ljm+kqRTJS2UtLCjo6OfYZiZWbFKZx99FPixpBN5IQm0AbsB/9jXCiW9A3gqIhZJmtbb9SPiSuBKgLa2No/BZGa2E5VNChHRDrxO0pHA1FT8s4i4o591vh54l6S3kR2i2lPSdUC7pAkRsVLSBOCpftZjZma9tMOxjyJifkRckR79TQhExHkRsX9EtALHA3dExPuBucBJabGTgFv6W5eZmfVONQPi1cvFwHRJS4HpadrMzOqomiuaayYi7gTuTK+fBo7OMx4zs0Y3kFoKZmaWMycFMzMrcFIwM7MCJwUzMytwUjAzswInBTMzK3BSMDOzAicFY9y4cUgCQBLjxo3LOSIzy0uuF69ZProTQDmdnZ3bLRPhsQfNGoGTQgMq3sFLQtJ2ZRHhRGDWgHz4yIgIWltb+etf/0pra6uTgVkDc0vBaG5uZtmyZQAsW7aMIUOG0NXVlXNUZpYHJwWjq6trh/0MZtYYfPjIzMwKnBTMzKzAScHMzAqcFAyAKVOm0NTUxJQpU/IOxcxy5KRgAKxYsYJ7772XFStW5B2KmeXIZx8ZAGvXruWwww7LOwwzy5lbCmZmVuCk0OCam5t7VW5mg5uTQoPr6uqiubmZ1tZWJNHa2kpzc7OvaLYBoXtsrp6vrXacFIzRo0cDL4ye2j1tVm/dO/5KCaDnMk4UO5eTgtHU1MTIkSMBGDlyJE1N/lpYPrpH593RoIzFy3kAx53L//3GqlWrWLduHX/5y19Yt24dq1atyjsks21cd911eYfQMHxKaoMbNmwYTU1NLF++nAMPPBCA4cOHs3Xr1pwjM8t0twROPPFEHyqqAyeFBrdp06btmt/r16/3P58NGP4u1pcPHzW4csdjfZzWrDE5KRgAQ4cO3ebZzBqTk4IBMG7cOJqamhg3blzeoZhZjpwUDIDVq1ezdetWVq9enXcoZpYjJwUDYMuWLdx5551s2bIl71DMtrP33nvnHULD8NlHBmTDXUybNi3vMMxK8rUz9eOWgiGpMABec3OzTwE0a2BOCg2uubl5u9NPI8KjpJo1KCeFBtedELpHRe1+9nUKZo3JSaHBdQ9n0T0IXvezh7kwa0x1TwqSXiRpvqSHJD0o6SOpfKyk2yUtTc9j6h1bo2ppadnm4rWWlpacIzKzvOTRUtgCnB0Rk4HXAGdKejlwLjAvIiYB89K01UF7ezszZsygo6ODGTNm0N7enndIZts455xz8g6hYSjvY8eSbgG+lh7TImKlpAnAnRFxcKV129raYuHChfUIc9CSREtLC2vWrGHjxo0MGzaMvfbai/b2dvcrWK4qnQXn72b/SFoUEW2l5uXapyCpFXgV8HugJSJWAqTnfcqsc6qkhZIWdnR01C3Wway9vZ2TTz6ZNWvWcPLJJ7ulYNbAcmspSBoF3AVcFBE3S1oTEXsVzV8dERX7FdxS6L/dd9+dAw44gKVLlxIRSGLSpEmsWLGCDRs25B2eNTC3FGpnwLUUJA0F/hP4QUTcnIrb02Ej0vNTecTWaE455RQefvhhLr30UtatW8ell17Kww8/zCmnnJJ3aGaWg7oPc6Es/V8FPBQRXy6aNRc4Cbg4Pd9S79ga0RVXXAHA+eefz9lnn82wYcM47bTTCuVm1ljqfvhI0hHAr4AHgO6T4c8n61e4EXgx8AhwbER0VtqWDx+ZDV6SkLTNoaLuaR8+6p9Kh4/q3lKIiAVAuYOFR9czFjMb2CKClpYW7rzzTqZNm+aTIOrAo6Sa2YDV1NREe3s7kydPLkz7avva8jAXZjZg9UwATgi156RgZmYFTgpmNqCNGjVqm2erLScFMxuwmpubWbt2LQBr1671fT7qwEnBzAasQw45hClTptDU1MSUKVM45JBD8g5p0HNSMLMBa/HixUycOJH29nYmTpzI4sWL8w5p0PMpqWY2IA0bNowDDjiAW2+9lfHjxyOJgw46iBUrVuQd2qDmpGBmA9KmTZtYtmxZ4erliGDZsmVs2bIl58gGNx8+MrMBabfddmPz5s2MGjUKSYwaNYrNmzez22675R3aoOaWgpkNSBs3bqSpqWmbs4+amprYuHFjzpENbm4pmNmAtXXrVsaMGUNTUxNjxozxFc114KRgZgNWa2srnZ2ddHV10dnZSWtra94hDXpOCmY2YC1fvpyZM2eyatUqZs6cyfLly/MOadBzn4KZDUiSGDNmDHPnzmX8+PEAjB07ltWrV+cc2eDmloKZDUjTp0+ns7OT008/nTVr1nD66afT2dnJ9OnT8w5tUKv7ndd2Jt95zWxwmzFjBrfffjsRgSSmT5/ObbfdlndYu7wBdec1M7NqOQHUnw8fmZlZgZOCmZkVOCmYmVmBk4KZmRU4KZiZWcEufUqqpA7Ag6vvPHsDq/IOwqwEfzd3rgMiYnypGbt0UrCdS9LCcucum+XJ38368eEjMzMrcFIwM7MCJwUrdmXeAZiV4e9mnbhPwczMCtxSMDOzAicFMzMrcFIY4CSt7cWy4yX9XtJiSW+QdEaFZS+U9Lik+9Lj4j7E1irpfX1Y7xpJ7+ntepY/SV3p+7JE0q2S9krl+0r6URXrl/w+SzpG0surqLf70dqH2D8gad9ertMqaUlv69qVOSkMLkcDf4qIVwGPAmWTQnJZRByaHuf2ob5WoNdJwXZp69P3ZSrQCZwJEBFPRER/Ev0xQNmkUFRv92N5H+r4ANCrpNCInBR2QZImSvqlpEWSfiXpZZIOBb4IvE3SfcC/AxPTr6pLqtyuJF2SfgU+IOm9lcqBi4E3pDo+Jqk5LXevpPslfaho/a9J+qOknwH77OQ/ieXjt8B+sO0vakkjJN2YvgM/TK3XwoVnki6S9AdJv5PUIul1wLuAS9J3aWI1lUs6NG3jfkk/ljSmXHlqmbYBP0h1DJd0mKS70v/RbZImpPUPS/H9lpT0GkpE+DGAH8DaEmXzgEnp9d8Dd6TXHwC+ll63AksqbPdC4HHgvvSYAbwbuB1oBlqAR4AJFcqnAT8t2uapwAXp9TBgIfAS4P8Wrb8vsAZ4T95/Wz/6/n1Mn+VNwFt6ft+Ac4Bvp9dTgS1AW5oO4J3p9ReLvi/XVPpOAF1F39Ufp7L7gTel1/8KXL6D8juL4hgK/AYYn6bfC1xdYv1LKv0fDcaH77y2i5E0CngdcJOk7uJhfdzcZRFxadG2LwPmREQX0C7pLuDvgCPKlD/bY3v/ABxS1F8wGpgEvLFo/Sck3dHHeC1/w1NLtBVYRJbsezoC+ApARCyRdH/RvE3AT9PrRUC1N1xeHxGHdk9IGg3sFRF3paJryf4nSpaX2N7BZAnr9vR/1AysLLH+94G3VhnjoOCksOtpAtYU/4NUQ9JFwNsBKqyrXpaXWu6siNjmHoqS3kb2C9F2fesj4tC08/wp2eGVr/ZYptL3ZXOkn+Bkv/632wdJehFwa5r8VkR8q58xlyLgwYh4bY+696LBv6vuU9jFRMSzwDJJx0LheP0rSyz6HLBH0XqzI3XSVdj83cB7U9/AeLJf+PdUKN+mDuA24HRJQ1NsB0kamdY/Pq0/ATiyT2/eBoyIeAb4MHBO9+ddZAFwHEA6o+gVVWyy8F2KiEfjhQ7lkgkh1b9a0htS0T8Bd5Ur71kH8GdgvKTXpjiHSpoSEWuAZyQdkZY7sYrYBxW3FAa+EZIeK5r+MtkX9ZuSLiA7NnoD8IfilSLiaUm/Tp1/v4iIj1dR14+B16ZtBfCJiHhSUrnyp4Etkv5Adkz4K2SHFf5HWZu8g+yskh8DRwEPAH/hhX9S24VFxOL02R8P/Kpo1jeAa9Nho8Vkx+if2cHmbgC+I+nDZH0Lf6sihJOAb0kaATwMfHAH5dek8vVk3+f3AF9NrZ4hwOXAg2n5qyU9T/ZDp6F4mAsz26kkNQNDI2JDOpNoHnBQRGzKOTSrglsKZrazjQDmp8NKAk53Qth1uKVgZmYF7mg2M7MCJwUzMytwUjAzswInBTMzK3BSMDOzgv8FiApBRym4xW0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "statistically significant difference between left and right footed players.\n"
     ]
    },
    {
     "data": {
      "image/png": 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CMhuofGZc/5THFc1DyJ7edmNEnA7s4QgOFUXETRExLSKmjRs3rg9hmFleIuKIht4ss3379pzf5cDUU0vhtZKO70gAkmZI+oKkj0nqy0N2ngGeiYifpvE7yZLEVkkTUl0TyFokZmZWRT31KdwBHAMg6TTgG8BTwGnAP/S2woh4Fni66FqHc4BfACuAi1PZxfime2ZmVdfTKakjIqLjeoSLgGUR8TlJdWS3u+iLhcDXUovjl8AHyRLUHZLmkiWf9/axDjMzO0I9JQUVvZ4JXAEQEYckdb9EmSLiYWBaN5PO6dOKzcysT3pKCj+SdAewBRgD/AgKx/v3VyE2MzOrsp6SwkeB9wETgOkR0Z7K/xewqMJxmZlZDkomhcjOA7u9m/KHKhqRmZnlppwrms3MrEY4KZiZWUFZSUHSCD9Dwcxs8CvnLqnvJrsu4ftp/DRJKyocl5mZ5aCclsJVwFuAnVC4xmBypQIyM7P8lJMUDkTEropHYmZmuSvncZyPSXo/UC/pZODDwI8rG5aZmeWhnJbCQrIH7bwM3AbsIruwzczMBplyWgqnRsQifBWzmdmgV05L4TpJj0v6G0nNh5/dzMwGqsMmhYiYAZxN9gjNmyT9XNKVlQ7MzMyqr6yL1yLi2Yj4O+BSsmsW/rKSQZmZWT7KuXitSdJVkh4D/p7szKNJFY/MzMyqrpyO5n8ClgO/VfQkNjMzG4QOmxQi4oxqBGJmZvkrmRQk3RER50v6ORDFk8get/CmikdnZmZV1VNL4SPp77uqEYiZmeWvZEdzRGxJLxdExMbiAVhQnfDMzKyayjkldVY3Zece7UDMzCx/PfUpzCdrEbxe0qNFk44F7q90YGZmVn099SncBtwNfBq4vKh8d0Rsr2hUZmaWi5JJIT1DYRdwIYCk8cBwYJSkURHxVHVCNDOzainrcZySngCeBO4BNpC1IMzMbJApp6P5U8AZwH9HxOuAc3CfgpnZoFROUmiPiBeAOkl1EbEKOK2yYVk1nXTSSUgCQBInnXRSzhGZWV7KuffRTkmjgPuAr0l6DjhQ2bCskjoSQClPP/30q+aJiBJzm9lgUk5LYQ6wl+wRnN8H/gd4dwVjsgqLiMIA0Nra2qmstbW12/nMbPAr5yE7e4DXAGdHxC3APwL7Kx2YVU99fT11dXVIoq6ujvr6+rxDMrOclHP20TzgTuBLqehE4NsVjMmq7L777uPSSy9l586dXHrppdx33315h2RmOSnn8NGHgLcCLwJExBPA+EoGZdX3yCOPsHfvXh555JG8QzGzHJXT0fxyROwvOjtlCJ1vpW0D3MSJE/nxj3/MxIkTC+ObN/t5Sma1qJyWwj2S/hwYIWkW8A3gO5UNy6pFEk1NTTQ3N1NXV0dzczNNTU2HPUPJzAancpLCZcA24OfAnwDfA66sZFBWPS0tLaxcuZIpU6awdetWpkyZwsqVK2lpack7NDPLQY+HjyTVAY9GRAtw89GsWFI9sAbYFBHvktQIfB2YTHYrjfMjYsfRrNNe7dChQzQ0NLBixQrGjRsHQENDA4cOHco5MjPLQ48thYg4BDwiqRKXuH4EWFc0fjmwMiJOBlbS+c6sViFr166lvb2d1tZWNm/eTGtrK+3t7axduzbv0MwsB+UcPpoArJW0UtKKjqEvlUqaBLyT7JqHDnOAW9LrW4Dz+lKHla+5uZn777+fCRMmcP/999Pc3Jx3SGaWk3LOPvpkBeq9HvgE2QN7OpzQ8QjQiNiSbtX9KpIuAS4BfI+eo2TDhg0MHTqU9vZ2GhoaGDp0aN4hmVlOSrYUJE2V9NaIuKd4IDsd9ZneVijpXcBzEfFgb5aPiJsiYlpETOs4Bm59s2fPHhobG5FEY2Mje/bsyTskM8tJT4ePrgd2d1O+N03rrbcCvytpA3A7MFPSrcBWSRMA0t/n+lCHHaGtW7cSEWzdujXvUMwsRz0lhckR8WjXwohYQ3aGUK9ExBURMSkiJgMXAD+KiIuAFcDFabaLgbt6W4eZmfVOT0lheA/TRhztQIBrgFnpKW+z0rhVwZgxYxg2bBgAw4YNY8yYMTlHZJaR1OlZH76osvJ6Sgr/kW6G14mkuUCv+gO6ioh/j4h3pdcvRMQ5EXFy+rv9aNRhh7djxw5mz57Ntm3bmD17Njt2+PIQy0fHjr+nBNB1HieKo0ul7pUv6QTgW2S3ye5IAtOAocDvRcSzVYmwB9OmTYs1a9bkHcaA1tMXys9RsDx526wcSQ9GxLTuppVsKUTE1ohoJTsldUMaPhkRZ/aHhGBH1/Dhw/nJT37C8OE9HTU0y8edd96Zdwg147DXKaRnMq+qQiyWE0m0tbVxxhlnFMb9S8z6i45tMSJ8qKgKyrl4zQa5rgnACcH6EyeC6irnNhdWA4rP8DCz2uWkYEDnJrqZ1S4nBTMzK3BSMBoaGjodPmpoaMg5IjPLi5OC0d7ezvjx41m3bh3jx4+nvb0975DMOpkzZ07eIdQMn31k1NfXs3XrVpqamgrjBw8ezDkqs1fcdZdvhVYtbikYBw8eZP78+ezcuZP58+c7IVi/8/a3vz3vEGpGydtcDAS+zUXf1dXVUV9fz4EDBwplQ4YM4eDBg35Os+XKt7monF7d5sJqw8iRIzlw4ACTJ09m/fr1TJ48mQMHDjBy5Mi8QzMrOPPMM/MOoWa4T6HG7dmzh7Fjx7Jx40amTp2KJMaOHcvzzz+fd2hmBQ888EDeIdQMtxSMOXPmFJ7LPHToUJ/pYVbDnBSMZcuWcfXVV7Nnzx6uvvpqli1blndIZpYTdzTXuLq6um477SS5o9ly5Y7mynFHs5VU6svlL51ZbXJSMKZOnUpzczN1dXU0NzczderUvEMys5w4KRjr16/nrLPOYvv27Zx11lmsX78+75DMOnn3u9+ddwg1w30KNU4Sxx57LLt37y6UdYwP5G3DBj73KVSO+xSsR7t376a1tZXNmzfT2traKUGY9Qfnnntu3iHUDF+8VuMkceKJJ/LAAw8wceJEJDFp0iQ2bdqUd2hmBXfffXfeIdQMtxRqXESwa9cuhgzJfh8MGTKEXbt2uXluVqOcFGpcXV0dL730Eo2NjUiisbGRl156ibo6bxpmtcjf/BoniYhg69atnf721MlnZoOXk0KNK/XsBD9Twaw2OSmYmVmBk4IB0NzczMaNG2lubs47FLNXaWxszDuEmuFTUg2AtWvX8trXvjbvMMy6tX379rxDqBluKVjBrbfemncIZpYzJwUruOiii/IOwcxy5qRgZmYFTgpmZlbgpGBmZgVOCmZmVlD1pCDpNZJWSVonaa2kj6TyRkk/lPRE+jum2rHVqvr6eoYNGwbAsGHDqK+vzzkiM8tLHi2FA8D/i4gm4AzgQ5LeCFwOrIyIk4GVadyq4ODBg0ydOpWNGzcydepU3+LC+p2xY8fmHULNqPrFaxGxBdiSXu+WtA44EZgDnJ1muwX4d+CyasdXi+rq6jpdvFZXV8ehQ4dyjsrsFc8//3zeIdSMXPsUJE0GTgd+CpyQEkZH4hhfYplLJK2RtGbbtm1Vi3UwO3ToUKfbXDghWH8za9asvEOoGbk9o1nSKOAeYHFEfFPSzogYXTR9R0T02K/gZzT33fDhw6mrq2Pfvn2FshEjRnDo0CHa2tpyjMxqnZ/RXDn97hnNkhqAfwa+FhHfTMVbJU1I0ycAz+URW62ZN28ebW1thc7l+vp62tramDdvXs6RmVke8jj7SMBSYF1EXFc0aQVwcXp9MXBXtWMzM6t1ebQU3gr8ITBT0sNp+B3gGmCWpCeAWWncKuzmm2/m2muv5cCBA0QEBw4c4Nprr+Xmm2/OOzQzAIYOHYokhg4dmncoNSG3PoWjwX0KfSeJPXv2MHLkyELZ3r17OeaYY3zc1nIlqfC42OKyiPC22Uf9rk/B+o9hw4axZMmSTmVLliwpXMxmlqfRo0d3urBy9OjR+QZUA5wUaty8efO47LLLuO6669i7dy/XXXcdl112mTuarV/YsWMHEyZMYP369UyYMIEdO3bkHdKg58NHxsKFC7n55pt5+eWXGTZsGPPmzeOGG27IOyyrcXV12W/WroePAF9L00c+fGQ9uuGGG2hrayMiaGtrc0KwfqGj76C1tZXNmzfT2trq/oQqcFIws35r0qRJ7Nq1q9Nfq6yq3/vIzKxcmzZtYsuWLRw6dIjHH3/ch42qwC0FM+u3uh4q8qGjynNSMJYvX05LSwv19fW0tLSwfPnyvEMyK3Qqjxw5krq6usK1ND3dE8n6zoePatzy5ctZtGgRS5cuZfr06axevZq5c+cCcOGFF+YcndWyiKChoYHdu3cDsHv3bhoaGmhvb885ssHNLYUat3jxYpYuXcqMGTNoaGhgxowZLF26lMWLF+cdmtU4SZxyyimdLl475ZRT3FKoMCeFGrdu3TqmT5/eqWz69OmsW7cup4jMMhHB2rVrmT17Ntu2bWP27NmsXbvW/QoV5qRQ45qamli9enWnstWrV9PU1JRTRGYZSTQ2NrJixQrGjRvHihUraGxsdEuhwpwUatyiRYuYO3cuq1ator29nVWrVjF37lwWLVqUd2hW4yKC7du3M3/+fHbu3Mn8+fPZvn27WwoV5o7mGtfRmbxw4ULWrVtHU1MTixcvdiez9Qunn3469957L42NjTQ1NXH66afz0EMP5R3WoOZ7H5lZv+THcVaO731kZgNOR1LouDFex1/3KVSWk4KZ9UsdrYFx48YhiXHjxnUqt8pwUjCzfmvUqFGFzuXt27czatSovEMa9JwUzKzfmjlzJvv37yci2L9/PzNnzsw7pEHPScHM+q0VK1awYMECdu3axYIFC1ixYkXeIQ16PiXVzPql5uZmRowYwZIlS7jxxhuRxLRp09i3b1/eoQ1qbimYWb+0aNEiXnjhBVauXMn+/ftZuXIlL7zwgi+srDC3FMysX/KFlfnwxWtmZjXGF6+ZmVlZnBTMzKzAScHMzAqcFMzMrMBJwczMCgb02UeStgEb845jEBkLPJ93EGbd8LZ5dL02IsZ1N2FAJwU7uiStKXWamlmevG1Wjw8fmZlZgZOCmZkVOClYsZvyDsCsBG+bVeI+BTMzK3BLwczMCpwUzMyswEmhn5P00hHMO07STyU9JOltkhb0MO9VkjZJejgN1/QitsmS3t+L5b4s6fePdDnLn6SDaXt5TNJ3JI1O5RMl3VnG8t1uz5LOk/TGMurtGCb3IvYPSJp4hMtMlvTYkdY1kDkpDC7nAI9HxOnA00DJpJB8PiJOS8PlvahvMnDEScEGtH1pe2kBtgMfAoiIzRHRl0R/HlAyKRTV2zFs6EUdHwCOKCnUIieFAUjSFEnfl/SgpPskvUHSacBngN+R9DDwt8CU9Kvqs2WuV5I+m34F/lzS+3oqB64B3pbq+Jik+jTff0h6VNKfFC3/95J+IelfgPFH+V9i+XgAOBE6/6KWNFLSHWkb+HpqvRYuPJO0WNIjkn4i6QRJrcDvAp9N29KUciqXdFpax6OSviVpTKny1DKdBnwt1TFC0q9Luid9j34gaUJa/tdTfA+Qkl5NiQgP/XgAXuqmbCVwcnr9m8CP0usPAH+fXk8GHuthvVcBm4CH0zAbeA/wQ6AeOAF4CpjQQ/nZwHeL1nkJcGV6PQxYA7wO+N9Fy08EdgK/n/f/1kPvt8f0WX4D+O2u2xvwZ8CX0usW4AAwLY0H8O70+jNF28uXe9omgINF2+q3UtmjwNvT678Grj9M+b8XxdEA/BgYl8bfByzrZvnP9vQ9GoyDH8c5wEgaBbQC35DUUTysl6v7fERcW7TuzwPLI+IgsFXSPcBvANNLlL/YZX2/BbypqL/geOBk4Kyi5TdL+lEv47X8jUgt0cnAg2TJvqvpwBcAIuIxSY8WTdsPfDe9fhCYVWa9+yLitI4RSccDoyPinlR0C9l3otvybtZ3KlnC+mH6HtUDW7pZ/qvAuWXGOCg4KQw8dcDO4i9IOSQtBt4J0MOyOsLy7uZbGBE/6FL375D9QrSBb19EnJZ2nt8lO7zyd13m6Wl7aY/0E5zs1/+r9kGSXgN8J40uiYglfYy5OwLWRsSZXeoeTY1vq+5TGGAi4kXgSUnvhcLx+jd3M+tu4Nii5RZF6qTrYfX3Au9LfQPjyH7h/6yH8k51AD8A5ktqSLGdIumYtPwFafkJwIxevXnrNyJiF/Bh4M86Pu8iq4HzAdIZRb9axioL21JEPB2vdCh3mxBS/TskvS0V/SFwT6nyrnUA/wWMk3RmirNBUnNE7AR2SZqe5vuDMmIfVNxS6P9GSnqmaPw6sg31RklXkh0bvR14pHihiHhB0v2p8+/uiPh4GXV9CzgzrSuAT0TEs5JKlb8AHJD0CNkx4S+QHVb4T2Vt8m1kZ5V8C5gJ/Bz4b175ktoAFhEPpc/+AuC+okn/ANySDhs9RHaMftdhVnc7cLOkD5P1LfxPGSFcDCyRNBL4JfDBw5R/OZXvI9uefx/4u9TqGQJcD6xN8y+TtJfsh05N8W0uzOyoklQPNEREWzqTaCVwSkTszzk0K4NbCmZ2tI0EVqXDSgLmOyEMHG4pmJlZgTuazcyswEnBzMwKnBTMzKzAScHMzAqcFMzMrOD/A+s/7Q8sKWaGAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "statistically significant difference between left and right footed players.\n"
     ]
    }
   ],
   "source": [
    "# STATISTICAL COMPARISONS\n",
    "ldrib_mean, rdrib_mean = 64.674195, 60.382667\n",
    "llongPass_mean, rlongPass_mean = 62.489188, 60.046704\n",
    "lTouch_mean, rTouch_mean = 67.530514, 64.230593\n",
    "\n",
    "stat = ['dribbling', 'lng', 'touch']\n",
    "var_dict = {'dribbling': [ldrib_mean, rdrib_mean],\n",
    "            'lng': [llongPass_mean, rlongPass_mean],\n",
    "            'touch': [lTouch_mean, rTouch_mean]}\n",
    "\n",
    "# Cohen's d --\n",
    "for i in stat:\n",
    "    pooled_std = np.sqrt(((len(leftStats[i]) - 1) * np.var(leftStats[i]) + (len(rightStats[i]) - 1) * np.var(rightStats[i]))/(len(leftStats[i]) + len(rightStats[i]) - 2))\n",
    "    cohens = (var_dict[i][0] - var_dict[i][1]) / pooled_std\n",
    "    # print(cohens)\n",
    "\n",
    "    t, p_value = stats.ttest_ind(leftStats[i], rightStats[i], equal_var=False)\n",
    "    # print(cohens, p_value)\n",
    "\n",
    "    plt.boxplot([leftStats[i], rightStats[i]], labels=['Left-Footed', 'Right-Footed'])\n",
    "    plt.title('Creative Stats Comparison')\n",
    "    plt.ylabel('Creative Stats')\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "    alpha = 0.05  # Significance level\n",
    "    if p_value < alpha:\n",
    "        print(\"statistically significant difference between left and right footed players.\")\n",
    "    else:\n",
    "        print(\"no statistically significant difference between left and right footed players.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **What does this mean?**\n",
    "Although we found a *statistically* significant difference between the distributions of stats for left-footed and right-footed players, there was no *practically* significant difference between them, meaning there is essentially no evident real-world creativity bias towards left-footed players. \n",
    "\n",
    "We also acknowledge the presence of left-footed outliers, such as Lionel Messi, as well as the potential effect of player position on these stats. Goalkeepers (and to a lesser extent, defenders) are less likely to have great creative stats. Is there an imbalance of footedness among goalkeepers versus other positions?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Miscellaneous**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>player_api_id</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_fifa_api_id</th>\n",
       "      <th>birthday</th>\n",
       "      <th>height</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4636</td>\n",
       "      <td>177126</td>\n",
       "      <td>Jan Oblak</td>\n",
       "      <td>200389</td>\n",
       "      <td>1993-01-07 00:00:00</td>\n",
       "      <td>185.42</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     id  player_api_id player_name  player_fifa_api_id             birthday  \\\n",
       "0  4636         177126   Jan Oblak              200389  1993-01-07 00:00:00   \n",
       "\n",
       "   height  weight  \n",
       "0  185.42     192  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dbsql(\"Select * from player where player_name = 'Jan Oblak'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th>player_api_id</th>\n",
       "      <th>date</th>\n",
       "      <th>overall_rating</th>\n",
       "      <th>potential</th>\n",
       "      <th>preferred_foot</th>\n",
       "      <th>attacking_work_rate</th>\n",
       "      <th>defensive_work_rate</th>\n",
       "      <th>crossing</th>\n",
       "      <th>finishing</th>\n",
       "      <th>heading_accuracy</th>\n",
       "      <th>short_passing</th>\n",
       "      <th>volleys</th>\n",
       "      <th>dribbling</th>\n",
       "      <th>curve</th>\n",
       "      <th>free_kick_accuracy</th>\n",
       "      <th>long_passing</th>\n",
       "      <th>ball_control</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>sprint_speed</th>\n",
       "      <th>agility</th>\n",
       "      <th>reactions</th>\n",
       "      <th>balance</th>\n",
       "      <th>shot_power</th>\n",
       "      <th>jumping</th>\n",
       "      <th>stamina</th>\n",
       "      <th>strength</th>\n",
       "      <th>long_shots</th>\n",
       "      <th>aggression</th>\n",
       "      <th>interceptions</th>\n",
       "      <th>positioning</th>\n",
       "      <th>vision</th>\n",
       "      <th>penalties</th>\n",
       "      <th>marking</th>\n",
       "      <th>standing_tackle</th>\n",
       "      <th>sliding_tackle</th>\n",
       "      <th>gk_diving</th>\n",
       "      <th>gk_handling</th>\n",
       "      <th>gk_kicking</th>\n",
       "      <th>gk_positioning</th>\n",
       "      <th>gk_reflexes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>77095</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2016-02-11 00:00:00</td>\n",
       "      <td>82</td>\n",
       "      <td>86</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
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       "      <td>15</td>\n",
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       "      <td>14</td>\n",
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       "      <td>43</td>\n",
       "      <td>60</td>\n",
       "      <td>67</td>\n",
       "      <td>79</td>\n",
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       "      <td>22</td>\n",
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       "      <td>41</td>\n",
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       "      <td>12</td>\n",
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       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>55</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>79</td>\n",
       "      <td>84</td>\n",
       "      <td>73</td>\n",
       "      <td>84</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>77096</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2016-01-28 00:00:00</td>\n",
       "      <td>82</td>\n",
       "      <td>86</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>29</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>26</td>\n",
       "      <td>16</td>\n",
       "      <td>43</td>\n",
       "      <td>60</td>\n",
       "      <td>67</td>\n",
       "      <td>79</td>\n",
       "      <td>49</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>12</td>\n",
       "      <td>44</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>55</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>79</td>\n",
       "      <td>84</td>\n",
       "      <td>73</td>\n",
       "      <td>84</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>77097</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2015-09-21 00:00:00</td>\n",
       "      <td>81</td>\n",
       "      <td>86</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>29</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>26</td>\n",
       "      <td>16</td>\n",
       "      <td>43</td>\n",
       "      <td>60</td>\n",
       "      <td>67</td>\n",
       "      <td>78</td>\n",
       "      <td>49</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>12</td>\n",
       "      <td>44</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>55</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>77</td>\n",
       "      <td>84</td>\n",
       "      <td>72</td>\n",
       "      <td>83</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>77098</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2014-10-02 00:00:00</td>\n",
       "      <td>77</td>\n",
       "      <td>82</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>60</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>74</td>\n",
       "      <td>83</td>\n",
       "      <td>67</td>\n",
       "      <td>79</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>77099</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2014-09-18 00:00:00</td>\n",
       "      <td>77</td>\n",
       "      <td>82</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>60</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>74</td>\n",
       "      <td>83</td>\n",
       "      <td>67</td>\n",
       "      <td>79</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>77100</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2014-05-09 00:00:00</td>\n",
       "      <td>77</td>\n",
       "      <td>85</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>60</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>74</td>\n",
       "      <td>83</td>\n",
       "      <td>67</td>\n",
       "      <td>79</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>77101</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2014-04-25 00:00:00</td>\n",
       "      <td>77</td>\n",
       "      <td>85</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>74</td>\n",
       "      <td>82</td>\n",
       "      <td>68</td>\n",
       "      <td>78</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>77102</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2014-02-14 00:00:00</td>\n",
       "      <td>76</td>\n",
       "      <td>85</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>73</td>\n",
       "      <td>82</td>\n",
       "      <td>65</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>77103</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2014-01-24 00:00:00</td>\n",
       "      <td>75</td>\n",
       "      <td>85</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>35</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>72</td>\n",
       "      <td>81</td>\n",
       "      <td>65</td>\n",
       "      <td>77</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>77104</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2014-01-17 00:00:00</td>\n",
       "      <td>75</td>\n",
       "      <td>85</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>35</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>77</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>72</td>\n",
       "      <td>81</td>\n",
       "      <td>65</td>\n",
       "      <td>77</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>77105</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2013-12-20 00:00:00</td>\n",
       "      <td>74</td>\n",
       "      <td>85</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>35</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>77</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>72</td>\n",
       "      <td>77</td>\n",
       "      <td>65</td>\n",
       "      <td>77</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>77106</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2013-11-01 00:00:00</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>35</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>77</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>72</td>\n",
       "      <td>77</td>\n",
       "      <td>65</td>\n",
       "      <td>77</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>77107</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2013-09-20 00:00:00</td>\n",
       "      <td>74</td>\n",
       "      <td>83</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>35</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>77</td>\n",
       "      <td>25</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>72</td>\n",
       "      <td>77</td>\n",
       "      <td>65</td>\n",
       "      <td>77</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>77108</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2013-07-05 00:00:00</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>35</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>79</td>\n",
       "      <td>11</td>\n",
       "      <td>43</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>72</td>\n",
       "      <td>77</td>\n",
       "      <td>65</td>\n",
       "      <td>77</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>77109</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2013-04-26 00:00:00</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>35</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>79</td>\n",
       "      <td>11</td>\n",
       "      <td>43</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>72</td>\n",
       "      <td>77</td>\n",
       "      <td>65</td>\n",
       "      <td>77</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>77110</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2013-04-12 00:00:00</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>35</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>79</td>\n",
       "      <td>11</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>72</td>\n",
       "      <td>77</td>\n",
       "      <td>65</td>\n",
       "      <td>77</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>77111</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2013-04-05 00:00:00</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>35</td>\n",
       "      <td>47</td>\n",
       "      <td>69</td>\n",
       "      <td>71</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>79</td>\n",
       "      <td>11</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>75</td>\n",
       "      <td>77</td>\n",
       "      <td>65</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>77112</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2013-03-15 00:00:00</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>72</td>\n",
       "      <td>71</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>61</td>\n",
       "      <td>11</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>76</td>\n",
       "      <td>75</td>\n",
       "      <td>65</td>\n",
       "      <td>72</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>77113</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2013-02-15 00:00:00</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>72</td>\n",
       "      <td>71</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>61</td>\n",
       "      <td>11</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>76</td>\n",
       "      <td>75</td>\n",
       "      <td>65</td>\n",
       "      <td>72</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>77114</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2012-08-31 00:00:00</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>72</td>\n",
       "      <td>71</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>61</td>\n",
       "      <td>11</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>76</td>\n",
       "      <td>75</td>\n",
       "      <td>65</td>\n",
       "      <td>72</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>77115</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2012-02-22 00:00:00</td>\n",
       "      <td>66</td>\n",
       "      <td>76</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>29</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>68</td>\n",
       "      <td>48</td>\n",
       "      <td>61</td>\n",
       "      <td>11</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>64</td>\n",
       "      <td>70</td>\n",
       "      <td>60</td>\n",
       "      <td>67</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>77116</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2011-08-30 00:00:00</td>\n",
       "      <td>66</td>\n",
       "      <td>80</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>29</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>68</td>\n",
       "      <td>48</td>\n",
       "      <td>61</td>\n",
       "      <td>11</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>64</td>\n",
       "      <td>70</td>\n",
       "      <td>60</td>\n",
       "      <td>67</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>77117</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2011-02-22 00:00:00</td>\n",
       "      <td>66</td>\n",
       "      <td>81</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>29</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>68</td>\n",
       "      <td>48</td>\n",
       "      <td>67</td>\n",
       "      <td>11</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>62</td>\n",
       "      <td>69</td>\n",
       "      <td>57</td>\n",
       "      <td>71</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>77118</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2010-08-30 00:00:00</td>\n",
       "      <td>66</td>\n",
       "      <td>81</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>29</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>68</td>\n",
       "      <td>48</td>\n",
       "      <td>67</td>\n",
       "      <td>6</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>62</td>\n",
       "      <td>69</td>\n",
       "      <td>57</td>\n",
       "      <td>71</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>77119</td>\n",
       "      <td>200389</td>\n",
       "      <td>177126</td>\n",
       "      <td>2007-02-22 00:00:00</td>\n",
       "      <td>66</td>\n",
       "      <td>81</td>\n",
       "      <td>right</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>29</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>68</td>\n",
       "      <td>48</td>\n",
       "      <td>67</td>\n",
       "      <td>6</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>62</td>\n",
       "      <td>69</td>\n",
       "      <td>57</td>\n",
       "      <td>71</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id  player_fifa_api_id  player_api_id                 date  \\\n",
       "0   77095              200389         177126  2016-02-11 00:00:00   \n",
       "1   77096              200389         177126  2016-01-28 00:00:00   \n",
       "2   77097              200389         177126  2015-09-21 00:00:00   \n",
       "3   77098              200389         177126  2014-10-02 00:00:00   \n",
       "4   77099              200389         177126  2014-09-18 00:00:00   \n",
       "5   77100              200389         177126  2014-05-09 00:00:00   \n",
       "6   77101              200389         177126  2014-04-25 00:00:00   \n",
       "7   77102              200389         177126  2014-02-14 00:00:00   \n",
       "8   77103              200389         177126  2014-01-24 00:00:00   \n",
       "9   77104              200389         177126  2014-01-17 00:00:00   \n",
       "10  77105              200389         177126  2013-12-20 00:00:00   \n",
       "11  77106              200389         177126  2013-11-01 00:00:00   \n",
       "12  77107              200389         177126  2013-09-20 00:00:00   \n",
       "13  77108              200389         177126  2013-07-05 00:00:00   \n",
       "14  77109              200389         177126  2013-04-26 00:00:00   \n",
       "15  77110              200389         177126  2013-04-12 00:00:00   \n",
       "16  77111              200389         177126  2013-04-05 00:00:00   \n",
       "17  77112              200389         177126  2013-03-15 00:00:00   \n",
       "18  77113              200389         177126  2013-02-15 00:00:00   \n",
       "19  77114              200389         177126  2012-08-31 00:00:00   \n",
       "20  77115              200389         177126  2012-02-22 00:00:00   \n",
       "21  77116              200389         177126  2011-08-30 00:00:00   \n",
       "22  77117              200389         177126  2011-02-22 00:00:00   \n",
       "23  77118              200389         177126  2010-08-30 00:00:00   \n",
       "24  77119              200389         177126  2007-02-22 00:00:00   \n",
       "\n",
       "    overall_rating  potential preferred_foot attacking_work_rate  \\\n",
       "0               82         86          right              medium   \n",
       "1               82         86          right              medium   \n",
       "2               81         86          right              medium   \n",
       "3               77         82          right              medium   \n",
       "4               77         82          right              medium   \n",
       "5               77         85          right              medium   \n",
       "6               77         85          right              medium   \n",
       "7               76         85          right              medium   \n",
       "8               75         85          right              medium   \n",
       "9               75         85          right              medium   \n",
       "10              74         85          right              medium   \n",
       "11              74         84          right              medium   \n",
       "12              74         83          right              medium   \n",
       "13              74         84          right              medium   \n",
       "14              74         84          right              medium   \n",
       "15              74         84          right              medium   \n",
       "16              74         84          right              medium   \n",
       "17              74         84          right              medium   \n",
       "18              74         84          right              medium   \n",
       "19              74         84          right              medium   \n",
       "20              66         76          right              medium   \n",
       "21              66         80          right              medium   \n",
       "22              66         81          right              medium   \n",
       "23              66         81          right              medium   \n",
       "24              66         81          right              medium   \n",
       "\n",
       "   defensive_work_rate  crossing  finishing  heading_accuracy  short_passing  \\\n",
       "0               medium        13         11                15             29   \n",
       "1               medium        13         11                15             29   \n",
       "2               medium        13         11                15             29   \n",
       "3               medium        25         25                25             28   \n",
       "4               medium        25         25                25             28   \n",
       "5               medium        25         25                25             28   \n",
       "6               medium        25         25                25             28   \n",
       "7               medium        25         25                25             25   \n",
       "8               medium        25         25                25             25   \n",
       "9               medium        25         25                25             25   \n",
       "10              medium        25         25                25             25   \n",
       "11              medium        25         25                25             25   \n",
       "12              medium        25         25                25             25   \n",
       "13              medium        12         10                14             18   \n",
       "14              medium        12         10                14             18   \n",
       "15              medium        12         10                14             18   \n",
       "16              medium        12         10                14             18   \n",
       "17              medium        12         10                14             18   \n",
       "18              medium        12         10                14             18   \n",
       "19              medium        12         10                14             18   \n",
       "20              medium        12         10                14             18   \n",
       "21              medium        12         10                14             18   \n",
       "22              medium        12         10                14             18   \n",
       "23              medium         7          5                 9             18   \n",
       "24              medium         7          5                 9             18   \n",
       "\n",
       "    volleys  dribbling  curve  free_kick_accuracy  long_passing  ball_control  \\\n",
       "0        13         12     13                  14            26            16   \n",
       "1        13         12     13                  14            26            16   \n",
       "2        13         12     13                  14            26            16   \n",
       "3        25         25     25                  25            25            26   \n",
       "4        25         25     25                  25            25            26   \n",
       "5        25         25     25                  25            25            26   \n",
       "6        25         25     25                  25            25            26   \n",
       "7        25         25     25                  25            25            26   \n",
       "8        25         25     25                  25            25            26   \n",
       "9        25         25     25                  25            25            26   \n",
       "10       25         25     25                  25            25            26   \n",
       "11       25         25     25                  25            25            26   \n",
       "12       25         25     25                  25            25            26   \n",
       "13       12         11     12                  13            25            26   \n",
       "14       12         11     12                  13            25            26   \n",
       "15       12         11     12                  13            25            26   \n",
       "16       12         11     12                  13            25            26   \n",
       "17       12         11     12                  13            25            19   \n",
       "18       12         11     12                  13            25            19   \n",
       "19       12         11     12                  13            25            19   \n",
       "20       12         11     12                  13            25            19   \n",
       "21       12         11     12                  13            25            19   \n",
       "22       12          8     12                  13            25            19   \n",
       "23        7          8      7                   8            25            19   \n",
       "24        7          8      7                   8            25            19   \n",
       "\n",
       "    acceleration  sprint_speed  agility  reactions  balance  shot_power  \\\n",
       "0             43            60       67         79       49          22   \n",
       "1             43            60       67         79       49          22   \n",
       "2             43            60       67         78       49          22   \n",
       "3             43            60       67         74       49          25   \n",
       "4             43            60       67         74       49          25   \n",
       "5             43            60       67         74       49          25   \n",
       "6             43            47       67         74       49          25   \n",
       "7             43            47       67         74       49          25   \n",
       "8             35            47       67         74       49          25   \n",
       "9             35            47       67         74       49          25   \n",
       "10            35            47       67         74       49          25   \n",
       "11            35            47       67         74       49          25   \n",
       "12            35            47       67         74       49          25   \n",
       "13            35            47       67         71       49          25   \n",
       "14            35            47       67         71       49          25   \n",
       "15            35            47       67         71       49          25   \n",
       "16            35            47       69         71       49          25   \n",
       "17            25            47       72         71       49          25   \n",
       "18            25            47       72         71       49          25   \n",
       "19            25            47       72         71       49          25   \n",
       "20            25            29       44         61       49          25   \n",
       "21            25            29       44         61       49          25   \n",
       "22            25            29       44         61       49          25   \n",
       "23            25            29       44         61       49          25   \n",
       "24            25            29       44         61       49          25   \n",
       "\n",
       "    jumping  stamina  strength  long_shots  aggression  interceptions  \\\n",
       "0        76       41        78          12          44             19   \n",
       "1        76       41        78          12          44             19   \n",
       "2        76       41        78          12          44             19   \n",
       "3        76       41        78          25          43             25   \n",
       "4        76       41        78          25          43             25   \n",
       "5        76       41        78          25          43             25   \n",
       "6        76       41        78          25          43             25   \n",
       "7        76       41        78          25          43             25   \n",
       "8        76       41        78          25          43             25   \n",
       "9        76       41        77          25          43             25   \n",
       "10       76       41        77          25          43             25   \n",
       "11       76       41        77          25          43             25   \n",
       "12       76       41        77          25          43             25   \n",
       "13       76       41        79          11          43             18   \n",
       "14       76       41        79          11          43             18   \n",
       "15       76       41        79          11          45             18   \n",
       "16       76       48        79          11          45             18   \n",
       "17       76       48        61          11          45             18   \n",
       "18       76       48        61          11          45             18   \n",
       "19       76       48        61          11          45             18   \n",
       "20       68       48        61          11          45             18   \n",
       "21       68       48        61          11          45             18   \n",
       "22       68       48        67          11          45             18   \n",
       "23       68       48        67           6          45             18   \n",
       "24       68       48        67           6          45             18   \n",
       "\n",
       "    positioning  vision  penalties  marking  standing_tackle  sliding_tackle  \\\n",
       "0            11      55         11       14               12              18   \n",
       "1            11      55         11       14               12              18   \n",
       "2            11      55         11       14               12              18   \n",
       "3            25      25         25       25               25              25   \n",
       "4            25      25         25       25               25              25   \n",
       "5            25      25         25       25               25              25   \n",
       "6            25      25         25       25               25              25   \n",
       "7            25      25         25       25               25              25   \n",
       "8            25      25         25       25               25              25   \n",
       "9            25      25         25       25               25              25   \n",
       "10           25      25         25       25               25              25   \n",
       "11           25      25         25       25               25              25   \n",
       "12           25      25         25       25               25              25   \n",
       "13           10      11         10       13               11              17   \n",
       "14           10      11         10       13               11              17   \n",
       "15           10      11         10       13               11              17   \n",
       "16           10      23         10       13               11              17   \n",
       "17           10      23         10       13               11              17   \n",
       "18           10      23         10       13               11              17   \n",
       "19           10      23         10       13               11              17   \n",
       "20           10      23         10       13               11              17   \n",
       "21           10      23         10       13               11              17   \n",
       "22           10      23         10       13               11              17   \n",
       "23           10      23         10       13               11              17   \n",
       "24           10      23         10       13               11              17   \n",
       "\n",
       "    gk_diving  gk_handling  gk_kicking  gk_positioning  gk_reflexes  \n",
       "0          79           84          73              84           83  \n",
       "1          79           84          73              84           83  \n",
       "2          77           84          72              83           82  \n",
       "3          74           83          67              79           77  \n",
       "4          74           83          67              79           77  \n",
       "5          74           83          67              79           77  \n",
       "6          74           82          68              78           77  \n",
       "7          73           82          65              77           76  \n",
       "8          72           81          65              77           74  \n",
       "9          72           81          65              77           74  \n",
       "10         72           77          65              77           74  \n",
       "11         72           77          65              77           74  \n",
       "12         72           77          65              77           74  \n",
       "13         72           77          65              77           74  \n",
       "14         72           77          65              77           74  \n",
       "15         72           77          65              77           74  \n",
       "16         75           77          65              74           74  \n",
       "17         76           75          65              72           77  \n",
       "18         76           75          65              72           77  \n",
       "19         76           75          65              72           77  \n",
       "20         64           70          60              67           66  \n",
       "21         64           70          60              67           66  \n",
       "22         62           69          57              71           65  \n",
       "23         62           69          57              71           65  \n",
       "24         62           69          57              71           65  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dbsql('select * from player_attributes where player_api_id = 177126')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>team_fifa_api_id</th>\n",
       "      <th>team_api_id</th>\n",
       "      <th>date</th>\n",
       "      <th>buildUpPlaySpeed</th>\n",
       "      <th>buildUpPlaySpeedClass</th>\n",
       "      <th>buildUpPlayDribbling</th>\n",
       "      <th>buildUpPlayDribblingClass</th>\n",
       "      <th>buildUpPlayPassing</th>\n",
       "      <th>buildUpPlayPassingClass</th>\n",
       "      <th>buildUpPlayPositioningClass</th>\n",
       "      <th>chanceCreationPassing</th>\n",
       "      <th>chanceCreationPassingClass</th>\n",
       "      <th>chanceCreationCrossing</th>\n",
       "      <th>chanceCreationCrossingClass</th>\n",
       "      <th>chanceCreationShooting</th>\n",
       "      <th>chanceCreationShootingClass</th>\n",
       "      <th>chanceCreationPositioningClass</th>\n",
       "      <th>defencePressure</th>\n",
       "      <th>defencePressureClass</th>\n",
       "      <th>defenceAggression</th>\n",
       "      <th>defenceAggressionClass</th>\n",
       "      <th>defenceTeamWidth</th>\n",
       "      <th>defenceTeamWidthClass</th>\n",
       "      <th>defenceDefenderLineClass</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>434</td>\n",
       "      <td>9930</td>\n",
       "      <td>2010-02-22 00:00:00</td>\n",
       "      <td>60</td>\n",
       "      <td>Balanced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Little</td>\n",
       "      <td>50</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>Organised</td>\n",
       "      <td>60</td>\n",
       "      <td>Normal</td>\n",
       "      <td>65</td>\n",
       "      <td>Normal</td>\n",
       "      <td>55</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Organised</td>\n",
       "      <td>50</td>\n",
       "      <td>Medium</td>\n",
       "      <td>55</td>\n",
       "      <td>Press</td>\n",
       "      <td>45</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>434</td>\n",
       "      <td>9930</td>\n",
       "      <td>2014-09-19 00:00:00</td>\n",
       "      <td>52</td>\n",
       "      <td>Balanced</td>\n",
       "      <td>48.0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>56</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>Organised</td>\n",
       "      <td>54</td>\n",
       "      <td>Normal</td>\n",
       "      <td>63</td>\n",
       "      <td>Normal</td>\n",
       "      <td>64</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Organised</td>\n",
       "      <td>47</td>\n",
       "      <td>Medium</td>\n",
       "      <td>44</td>\n",
       "      <td>Press</td>\n",
       "      <td>54</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>434</td>\n",
       "      <td>9930</td>\n",
       "      <td>2015-09-10 00:00:00</td>\n",
       "      <td>47</td>\n",
       "      <td>Balanced</td>\n",
       "      <td>41.0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>54</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>Organised</td>\n",
       "      <td>54</td>\n",
       "      <td>Normal</td>\n",
       "      <td>63</td>\n",
       "      <td>Normal</td>\n",
       "      <td>64</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Organised</td>\n",
       "      <td>47</td>\n",
       "      <td>Medium</td>\n",
       "      <td>44</td>\n",
       "      <td>Press</td>\n",
       "      <td>54</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>77</td>\n",
       "      <td>8485</td>\n",
       "      <td>2010-02-22 00:00:00</td>\n",
       "      <td>70</td>\n",
       "      <td>Fast</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Little</td>\n",
       "      <td>70</td>\n",
       "      <td>Long</td>\n",
       "      <td>Organised</td>\n",
       "      <td>70</td>\n",
       "      <td>Risky</td>\n",
       "      <td>70</td>\n",
       "      <td>Lots</td>\n",
       "      <td>70</td>\n",
       "      <td>Lots</td>\n",
       "      <td>Organised</td>\n",
       "      <td>60</td>\n",
       "      <td>Medium</td>\n",
       "      <td>70</td>\n",
       "      <td>Double</td>\n",
       "      <td>70</td>\n",
       "      <td>Wide</td>\n",
       "      <td>Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>8485</td>\n",
       "      <td>2011-02-22 00:00:00</td>\n",
       "      <td>47</td>\n",
       "      <td>Balanced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Little</td>\n",
       "      <td>52</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>Organised</td>\n",
       "      <td>53</td>\n",
       "      <td>Normal</td>\n",
       "      <td>48</td>\n",
       "      <td>Normal</td>\n",
       "      <td>52</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Organised</td>\n",
       "      <td>47</td>\n",
       "      <td>Medium</td>\n",
       "      <td>47</td>\n",
       "      <td>Press</td>\n",
       "      <td>52</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1453</th>\n",
       "      <td>1454</td>\n",
       "      <td>15005</td>\n",
       "      <td>10000</td>\n",
       "      <td>2011-02-22 00:00:00</td>\n",
       "      <td>52</td>\n",
       "      <td>Balanced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Little</td>\n",
       "      <td>52</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>Organised</td>\n",
       "      <td>52</td>\n",
       "      <td>Normal</td>\n",
       "      <td>48</td>\n",
       "      <td>Normal</td>\n",
       "      <td>53</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Organised</td>\n",
       "      <td>46</td>\n",
       "      <td>Medium</td>\n",
       "      <td>48</td>\n",
       "      <td>Press</td>\n",
       "      <td>53</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1454</th>\n",
       "      <td>1455</td>\n",
       "      <td>15005</td>\n",
       "      <td>10000</td>\n",
       "      <td>2012-02-22 00:00:00</td>\n",
       "      <td>54</td>\n",
       "      <td>Balanced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Little</td>\n",
       "      <td>51</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>Organised</td>\n",
       "      <td>47</td>\n",
       "      <td>Normal</td>\n",
       "      <td>52</td>\n",
       "      <td>Normal</td>\n",
       "      <td>50</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Organised</td>\n",
       "      <td>44</td>\n",
       "      <td>Medium</td>\n",
       "      <td>55</td>\n",
       "      <td>Press</td>\n",
       "      <td>53</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1455</th>\n",
       "      <td>1456</td>\n",
       "      <td>15005</td>\n",
       "      <td>10000</td>\n",
       "      <td>2013-09-20 00:00:00</td>\n",
       "      <td>54</td>\n",
       "      <td>Balanced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Little</td>\n",
       "      <td>51</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>Organised</td>\n",
       "      <td>47</td>\n",
       "      <td>Normal</td>\n",
       "      <td>52</td>\n",
       "      <td>Normal</td>\n",
       "      <td>32</td>\n",
       "      <td>Little</td>\n",
       "      <td>Organised</td>\n",
       "      <td>44</td>\n",
       "      <td>Medium</td>\n",
       "      <td>58</td>\n",
       "      <td>Press</td>\n",
       "      <td>37</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>1457</td>\n",
       "      <td>15005</td>\n",
       "      <td>10000</td>\n",
       "      <td>2014-09-19 00:00:00</td>\n",
       "      <td>54</td>\n",
       "      <td>Balanced</td>\n",
       "      <td>42.0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>51</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>Organised</td>\n",
       "      <td>47</td>\n",
       "      <td>Normal</td>\n",
       "      <td>52</td>\n",
       "      <td>Normal</td>\n",
       "      <td>32</td>\n",
       "      <td>Little</td>\n",
       "      <td>Organised</td>\n",
       "      <td>44</td>\n",
       "      <td>Medium</td>\n",
       "      <td>58</td>\n",
       "      <td>Press</td>\n",
       "      <td>37</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Cover</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>1458</td>\n",
       "      <td>15005</td>\n",
       "      <td>10000</td>\n",
       "      <td>2015-09-10 00:00:00</td>\n",
       "      <td>54</td>\n",
       "      <td>Balanced</td>\n",
       "      <td>42.0</td>\n",
       "      <td>Normal</td>\n",
       "      <td>51</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>Organised</td>\n",
       "      <td>47</td>\n",
       "      <td>Normal</td>\n",
       "      <td>52</td>\n",
       "      <td>Normal</td>\n",
       "      <td>32</td>\n",
       "      <td>Little</td>\n",
       "      <td>Organised</td>\n",
       "      <td>44</td>\n",
       "      <td>Medium</td>\n",
       "      <td>58</td>\n",
       "      <td>Press</td>\n",
       "      <td>37</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Cover</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1458 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        id  team_fifa_api_id  team_api_id                 date  \\\n",
       "0        1               434         9930  2010-02-22 00:00:00   \n",
       "1        2               434         9930  2014-09-19 00:00:00   \n",
       "2        3               434         9930  2015-09-10 00:00:00   \n",
       "3        4                77         8485  2010-02-22 00:00:00   \n",
       "4        5                77         8485  2011-02-22 00:00:00   \n",
       "...    ...               ...          ...                  ...   \n",
       "1453  1454             15005        10000  2011-02-22 00:00:00   \n",
       "1454  1455             15005        10000  2012-02-22 00:00:00   \n",
       "1455  1456             15005        10000  2013-09-20 00:00:00   \n",
       "1456  1457             15005        10000  2014-09-19 00:00:00   \n",
       "1457  1458             15005        10000  2015-09-10 00:00:00   \n",
       "\n",
       "      buildUpPlaySpeed buildUpPlaySpeedClass  buildUpPlayDribbling  \\\n",
       "0                   60              Balanced                   NaN   \n",
       "1                   52              Balanced                  48.0   \n",
       "2                   47              Balanced                  41.0   \n",
       "3                   70                  Fast                   NaN   \n",
       "4                   47              Balanced                   NaN   \n",
       "...                ...                   ...                   ...   \n",
       "1453                52              Balanced                   NaN   \n",
       "1454                54              Balanced                   NaN   \n",
       "1455                54              Balanced                   NaN   \n",
       "1456                54              Balanced                  42.0   \n",
       "1457                54              Balanced                  42.0   \n",
       "\n",
       "     buildUpPlayDribblingClass  buildUpPlayPassing buildUpPlayPassingClass  \\\n",
       "0                       Little                  50                   Mixed   \n",
       "1                       Normal                  56                   Mixed   \n",
       "2                       Normal                  54                   Mixed   \n",
       "3                       Little                  70                    Long   \n",
       "4                       Little                  52                   Mixed   \n",
       "...                        ...                 ...                     ...   \n",
       "1453                    Little                  52                   Mixed   \n",
       "1454                    Little                  51                   Mixed   \n",
       "1455                    Little                  51                   Mixed   \n",
       "1456                    Normal                  51                   Mixed   \n",
       "1457                    Normal                  51                   Mixed   \n",
       "\n",
       "     buildUpPlayPositioningClass  chanceCreationPassing  \\\n",
       "0                      Organised                     60   \n",
       "1                      Organised                     54   \n",
       "2                      Organised                     54   \n",
       "3                      Organised                     70   \n",
       "4                      Organised                     53   \n",
       "...                          ...                    ...   \n",
       "1453                   Organised                     52   \n",
       "1454                   Organised                     47   \n",
       "1455                   Organised                     47   \n",
       "1456                   Organised                     47   \n",
       "1457                   Organised                     47   \n",
       "\n",
       "     chanceCreationPassingClass  chanceCreationCrossing  \\\n",
       "0                        Normal                      65   \n",
       "1                        Normal                      63   \n",
       "2                        Normal                      63   \n",
       "3                         Risky                      70   \n",
       "4                        Normal                      48   \n",
       "...                         ...                     ...   \n",
       "1453                     Normal                      48   \n",
       "1454                     Normal                      52   \n",
       "1455                     Normal                      52   \n",
       "1456                     Normal                      52   \n",
       "1457                     Normal                      52   \n",
       "\n",
       "     chanceCreationCrossingClass  chanceCreationShooting  \\\n",
       "0                         Normal                      55   \n",
       "1                         Normal                      64   \n",
       "2                         Normal                      64   \n",
       "3                           Lots                      70   \n",
       "4                         Normal                      52   \n",
       "...                          ...                     ...   \n",
       "1453                      Normal                      53   \n",
       "1454                      Normal                      50   \n",
       "1455                      Normal                      32   \n",
       "1456                      Normal                      32   \n",
       "1457                      Normal                      32   \n",
       "\n",
       "     chanceCreationShootingClass chanceCreationPositioningClass  \\\n",
       "0                         Normal                      Organised   \n",
       "1                         Normal                      Organised   \n",
       "2                         Normal                      Organised   \n",
       "3                           Lots                      Organised   \n",
       "4                         Normal                      Organised   \n",
       "...                          ...                            ...   \n",
       "1453                      Normal                      Organised   \n",
       "1454                      Normal                      Organised   \n",
       "1455                      Little                      Organised   \n",
       "1456                      Little                      Organised   \n",
       "1457                      Little                      Organised   \n",
       "\n",
       "      defencePressure defencePressureClass  defenceAggression  \\\n",
       "0                  50               Medium                 55   \n",
       "1                  47               Medium                 44   \n",
       "2                  47               Medium                 44   \n",
       "3                  60               Medium                 70   \n",
       "4                  47               Medium                 47   \n",
       "...               ...                  ...                ...   \n",
       "1453               46               Medium                 48   \n",
       "1454               44               Medium                 55   \n",
       "1455               44               Medium                 58   \n",
       "1456               44               Medium                 58   \n",
       "1457               44               Medium                 58   \n",
       "\n",
       "     defenceAggressionClass  defenceTeamWidth defenceTeamWidthClass  \\\n",
       "0                     Press                45                Normal   \n",
       "1                     Press                54                Normal   \n",
       "2                     Press                54                Normal   \n",
       "3                    Double                70                  Wide   \n",
       "4                     Press                52                Normal   \n",
       "...                     ...               ...                   ...   \n",
       "1453                  Press                53                Normal   \n",
       "1454                  Press                53                Normal   \n",
       "1455                  Press                37                Normal   \n",
       "1456                  Press                37                Normal   \n",
       "1457                  Press                37                Normal   \n",
       "\n",
       "     defenceDefenderLineClass  \n",
       "0                       Cover  \n",
       "1                       Cover  \n",
       "2                       Cover  \n",
       "3                       Cover  \n",
       "4                       Cover  \n",
       "...                       ...  \n",
       "1453                    Cover  \n",
       "1454                    Cover  \n",
       "1455                    Cover  \n",
       "1456                    Cover  \n",
       "1457                    Cover  \n",
       "\n",
       "[1458 rows x 25 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dbsql('select * from league')\n",
    "dbsql('select * from team')\n",
    "dbsql('select * from team_attributes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Limitations of the Data**\n",
    "- No good relation/link established between player information, and team, league or match information. This relationship would make it easier to analyse player impact on match outcomes\n",
    "- No link between teams and country independent of match data, need to join tables to get that relationshup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>country_id</th>\n",
       "      <th>league_id</th>\n",
       "      <th>season</th>\n",
       "      <th>stage</th>\n",
       "      <th>date</th>\n",
       "      <th>match_api_id</th>\n",
       "      <th>home_team_api_id</th>\n",
       "      <th>away_team_api_id</th>\n",
       "      <th>home_team_goal</th>\n",
       "      <th>away_team_goal</th>\n",
       "      <th>home_player_X1</th>\n",
       "      <th>home_player_X2</th>\n",
       "      <th>home_player_X3</th>\n",
       "      <th>home_player_X4</th>\n",
       "      <th>home_player_X5</th>\n",
       "      <th>home_player_X6</th>\n",
       "      <th>home_player_X7</th>\n",
       "      <th>home_player_X8</th>\n",
       "      <th>home_player_X9</th>\n",
       "      <th>home_player_X10</th>\n",
       "      <th>home_player_X11</th>\n",
       "      <th>away_player_X1</th>\n",
       "      <th>away_player_X2</th>\n",
       "      <th>away_player_X3</th>\n",
       "      <th>away_player_X4</th>\n",
       "      <th>away_player_X5</th>\n",
       "      <th>away_player_X6</th>\n",
       "      <th>away_player_X7</th>\n",
       "      <th>away_player_X8</th>\n",
       "      <th>away_player_X9</th>\n",
       "      <th>away_player_X10</th>\n",
       "      <th>away_player_X11</th>\n",
       "      <th>home_player_Y1</th>\n",
       "      <th>home_player_Y2</th>\n",
       "      <th>home_player_Y3</th>\n",
       "      <th>home_player_Y4</th>\n",
       "      <th>home_player_Y5</th>\n",
       "      <th>home_player_Y6</th>\n",
       "      <th>home_player_Y7</th>\n",
       "      <th>home_player_Y8</th>\n",
       "      <th>home_player_Y9</th>\n",
       "      <th>home_player_Y10</th>\n",
       "      <th>home_player_Y11</th>\n",
       "      <th>away_player_Y1</th>\n",
       "      <th>away_player_Y2</th>\n",
       "      <th>away_player_Y3</th>\n",
       "      <th>away_player_Y4</th>\n",
       "      <th>away_player_Y5</th>\n",
       "      <th>away_player_Y6</th>\n",
       "      <th>away_player_Y7</th>\n",
       "      <th>away_player_Y8</th>\n",
       "      <th>away_player_Y9</th>\n",
       "      <th>away_player_Y10</th>\n",
       "      <th>away_player_Y11</th>\n",
       "      <th>home_player_1</th>\n",
       "      <th>home_player_2</th>\n",
       "      <th>home_player_3</th>\n",
       "      <th>home_player_4</th>\n",
       "      <th>home_player_5</th>\n",
       "      <th>home_player_6</th>\n",
       "      <th>home_player_7</th>\n",
       "      <th>home_player_8</th>\n",
       "      <th>home_player_9</th>\n",
       "      <th>home_player_10</th>\n",
       "      <th>home_player_11</th>\n",
       "      <th>away_player_1</th>\n",
       "      <th>away_player_2</th>\n",
       "      <th>away_player_3</th>\n",
       "      <th>away_player_4</th>\n",
       "      <th>away_player_5</th>\n",
       "      <th>away_player_6</th>\n",
       "      <th>away_player_7</th>\n",
       "      <th>away_player_8</th>\n",
       "      <th>away_player_9</th>\n",
       "      <th>away_player_10</th>\n",
       "      <th>away_player_11</th>\n",
       "      <th>goal</th>\n",
       "      <th>shoton</th>\n",
       "      <th>shotoff</th>\n",
       "      <th>foulcommit</th>\n",
       "      <th>card</th>\n",
       "      <th>cross</th>\n",
       "      <th>corner</th>\n",
       "      <th>possession</th>\n",
       "      <th>B365H</th>\n",
       "      <th>B365D</th>\n",
       "      <th>B365A</th>\n",
       "      <th>BWH</th>\n",
       "      <th>BWD</th>\n",
       "      <th>BWA</th>\n",
       "      <th>IWH</th>\n",
       "      <th>IWD</th>\n",
       "      <th>IWA</th>\n",
       "      <th>LBH</th>\n",
       "      <th>LBD</th>\n",
       "      <th>LBA</th>\n",
       "      <th>PSH</th>\n",
       "      <th>PSD</th>\n",
       "      <th>PSA</th>\n",
       "      <th>WHH</th>\n",
       "      <th>WHD</th>\n",
       "      <th>WHA</th>\n",
       "      <th>SJH</th>\n",
       "      <th>SJD</th>\n",
       "      <th>SJA</th>\n",
       "      <th>VCH</th>\n",
       "      <th>VCD</th>\n",
       "      <th>VCA</th>\n",
       "      <th>GBH</th>\n",
       "      <th>GBD</th>\n",
       "      <th>GBA</th>\n",
       "      <th>BSH</th>\n",
       "      <th>BSD</th>\n",
       "      <th>BSA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>1</td>\n",
       "      <td>2008-08-30 00:00:00</td>\n",
       "      <td>530023</td>\n",
       "      <td>10267</td>\n",
       "      <td>8661</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>11.0</td>\n",
       "      <td>19435.0</td>\n",
       "      <td>34007.0</td>\n",
       "      <td>34029.0</td>\n",
       "      <td>37479.0</td>\n",
       "      <td>34008.0</td>\n",
       "      <td>32761.0</td>\n",
       "      <td>30666.0</td>\n",
       "      <td>2802.0</td>\n",
       "      <td>37459.0</td>\n",
       "      <td>41468.0</td>\n",
       "      <td>30909.0</td>\n",
       "      <td>33845.0</td>\n",
       "      <td>24131.0</td>\n",
       "      <td>33856.0</td>\n",
       "      <td>33849.0</td>\n",
       "      <td>33861.0</td>\n",
       "      <td>38160.0</td>\n",
       "      <td>37491.0</td>\n",
       "      <td>38398.0</td>\n",
       "      <td>37411.0</td>\n",
       "      <td>21414.0</td>\n",
       "      <td>25574.0</td>\n",
       "      <td>&lt;goal&gt;&lt;value&gt;&lt;comment&gt;n&lt;/comment&gt;&lt;stats&gt;&lt;goals...</td>\n",
       "      <td>&lt;shoton&gt;&lt;value&gt;&lt;stats&gt;&lt;shoton&gt;1&lt;/shoton&gt;&lt;/stat...</td>\n",
       "      <td>&lt;shotoff&gt;&lt;value&gt;&lt;stats&gt;&lt;shotoff&gt;1&lt;/shotoff&gt;&lt;/s...</td>\n",
       "      <td>&lt;foulcommit&gt;&lt;value&gt;&lt;stats&gt;&lt;foulscommitted&gt;1&lt;/f...</td>\n",
       "      <td>&lt;card&gt;&lt;value&gt;&lt;comment&gt;y&lt;/comment&gt;&lt;stats&gt;&lt;ycard...</td>\n",
       "      <td>&lt;cross&gt;&lt;value&gt;&lt;stats&gt;&lt;corners&gt;1&lt;/corners&gt;&lt;/sta...</td>\n",
       "      <td>&lt;corner&gt;&lt;value&gt;&lt;stats&gt;&lt;corners&gt;1&lt;/corners&gt;&lt;/st...</td>\n",
       "      <td>&lt;possession&gt;&lt;value&gt;&lt;comment&gt;53&lt;/comment&gt;&lt;event...</td>\n",
       "      <td>1.70</td>\n",
       "      <td>3.60</td>\n",
       "      <td>5.25</td>\n",
       "      <td>1.65</td>\n",
       "      <td>3.35</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1.70</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4.50</td>\n",
       "      <td>1.62</td>\n",
       "      <td>3.50</td>\n",
       "      <td>4.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.67</td>\n",
       "      <td>3.30</td>\n",
       "      <td>4.50</td>\n",
       "      <td>1.73</td>\n",
       "      <td>3.50</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1.65</td>\n",
       "      <td>3.40</td>\n",
       "      <td>4.50</td>\n",
       "      <td>1.75</td>\n",
       "      <td>3.30</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1.67</td>\n",
       "      <td>3.40</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21519</td>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>1</td>\n",
       "      <td>2008-08-31 00:00:00</td>\n",
       "      <td>530084</td>\n",
       "      <td>8371</td>\n",
       "      <td>10205</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>24591.0</td>\n",
       "      <td>72541.0</td>\n",
       "      <td>33865.0</td>\n",
       "      <td>11778.0</td>\n",
       "      <td>38521.0</td>\n",
       "      <td>42369.0</td>\n",
       "      <td>33870.0</td>\n",
       "      <td>38424.0</td>\n",
       "      <td>30907.0</td>\n",
       "      <td>33641.0</td>\n",
       "      <td>108809.0</td>\n",
       "      <td>41466.0</td>\n",
       "      <td>30279.0</td>\n",
       "      <td>56678.0</td>\n",
       "      <td>38458.0</td>\n",
       "      <td>40599.0</td>\n",
       "      <td>37436.0</td>\n",
       "      <td>38746.0</td>\n",
       "      <td>30958.0</td>\n",
       "      <td>38362.0</td>\n",
       "      <td>38551.0</td>\n",
       "      <td>31020.0</td>\n",
       "      <td>&lt;goal&gt;&lt;value&gt;&lt;comment&gt;n&lt;/comment&gt;&lt;stats&gt;&lt;goals...</td>\n",
       "      <td>&lt;shoton /&gt;</td>\n",
       "      <td>&lt;shotoff /&gt;</td>\n",
       "      <td>&lt;foulcommit /&gt;</td>\n",
       "      <td>&lt;card&gt;&lt;value&gt;&lt;comment&gt;y&lt;/comment&gt;&lt;stats&gt;&lt;ycard...</td>\n",
       "      <td>&lt;cross /&gt;</td>\n",
       "      <td>&lt;corner /&gt;</td>\n",
       "      <td>&lt;possession /&gt;</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.30</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>3.25</td>\n",
       "      <td>2.20</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.1</td>\n",
       "      <td>2.30</td>\n",
       "      <td>2.75</td>\n",
       "      <td>3.00</td>\n",
       "      <td>2.38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.62</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.30</td>\n",
       "      <td>2.75</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.60</td>\n",
       "      <td>2.90</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2.75</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.25</td>\n",
       "      <td>2.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21520</td>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>1</td>\n",
       "      <td>2008-08-31 00:00:00</td>\n",
       "      <td>530085</td>\n",
       "      <td>9783</td>\n",
       "      <td>8633</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>11.0</td>\n",
       "      <td>33018.0</td>\n",
       "      <td>111190.0</td>\n",
       "      <td>37451.0</td>\n",
       "      <td>41167.0</td>\n",
       "      <td>34104.0</td>\n",
       "      <td>37447.0</td>\n",
       "      <td>30271.0</td>\n",
       "      <td>33758.0</td>\n",
       "      <td>31045.0</td>\n",
       "      <td>37441.0</td>\n",
       "      <td>34956.0</td>\n",
       "      <td>30657.0</td>\n",
       "      <td>30962.0</td>\n",
       "      <td>25921.0</td>\n",
       "      <td>30670.0</td>\n",
       "      <td>28467.0</td>\n",
       "      <td>37259.0</td>\n",
       "      <td>32765.0</td>\n",
       "      <td>25759.0</td>\n",
       "      <td>30655.0</td>\n",
       "      <td>30834.0</td>\n",
       "      <td>34602.0</td>\n",
       "      <td>&lt;goal&gt;&lt;value&gt;&lt;comment&gt;n&lt;/comment&gt;&lt;stats&gt;&lt;goals...</td>\n",
       "      <td>&lt;shoton&gt;&lt;value&gt;&lt;stats&gt;&lt;blocked&gt;1&lt;/blocked&gt;&lt;/st...</td>\n",
       "      <td>&lt;shotoff&gt;&lt;value&gt;&lt;stats&gt;&lt;shotoff&gt;1&lt;/shotoff&gt;&lt;/s...</td>\n",
       "      <td>&lt;foulcommit&gt;&lt;value&gt;&lt;stats&gt;&lt;foulscommitted&gt;1&lt;/f...</td>\n",
       "      <td>&lt;card&gt;&lt;value&gt;&lt;comment&gt;y&lt;/comment&gt;&lt;stats&gt;&lt;ycard...</td>\n",
       "      <td>&lt;cross&gt;&lt;value&gt;&lt;stats&gt;&lt;crosses&gt;1&lt;/crosses&gt;&lt;/sta...</td>\n",
       "      <td>&lt;corner&gt;&lt;value&gt;&lt;stats&gt;&lt;corners&gt;1&lt;/corners&gt;&lt;/st...</td>\n",
       "      <td>&lt;possession&gt;&lt;value&gt;&lt;comment&gt;44&lt;/comment&gt;&lt;event...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>3.30</td>\n",
       "      <td>2.10</td>\n",
       "      <td>3.90</td>\n",
       "      <td>3.25</td>\n",
       "      <td>1.85</td>\n",
       "      <td>3.20</td>\n",
       "      <td>3.1</td>\n",
       "      <td>2.10</td>\n",
       "      <td>3.20</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.30</td>\n",
       "      <td>3.25</td>\n",
       "      <td>1.95</td>\n",
       "      <td>4.00</td>\n",
       "      <td>3.50</td>\n",
       "      <td>1.90</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.25</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.50</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.10</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.25</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21521</td>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>1</td>\n",
       "      <td>2008-08-31 00:00:00</td>\n",
       "      <td>530086</td>\n",
       "      <td>8388</td>\n",
       "      <td>8634</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>75195.0</td>\n",
       "      <td>75199.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38561.0</td>\n",
       "      <td>74435.0</td>\n",
       "      <td>102374.0</td>\n",
       "      <td>38008.0</td>\n",
       "      <td>74721.0</td>\n",
       "      <td>38550.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38526.0</td>\n",
       "      <td>32657.0</td>\n",
       "      <td>33988.0</td>\n",
       "      <td>30661.0</td>\n",
       "      <td>30740.0</td>\n",
       "      <td>30738.0</td>\n",
       "      <td>39854.0</td>\n",
       "      <td>36615.0</td>\n",
       "      <td>30955.0</td>\n",
       "      <td>30981.0</td>\n",
       "      <td>33639.0</td>\n",
       "      <td>30626.0</td>\n",
       "      <td>&lt;goal&gt;&lt;value&gt;&lt;comment&gt;n&lt;/comment&gt;&lt;stats&gt;&lt;goals...</td>\n",
       "      <td>&lt;shoton&gt;&lt;value&gt;&lt;stats&gt;&lt;shoton&gt;1&lt;/shoton&gt;&lt;/stat...</td>\n",
       "      <td>&lt;shotoff&gt;&lt;value&gt;&lt;stats&gt;&lt;shotoff&gt;1&lt;/shotoff&gt;&lt;/s...</td>\n",
       "      <td>&lt;foulcommit&gt;&lt;value&gt;&lt;stats&gt;&lt;foulscommitted&gt;1&lt;/f...</td>\n",
       "      <td>&lt;card&gt;&lt;value&gt;&lt;comment&gt;y&lt;/comment&gt;&lt;stats&gt;&lt;ycard...</td>\n",
       "      <td>&lt;cross&gt;&lt;value&gt;&lt;stats&gt;&lt;crosses&gt;1&lt;/crosses&gt;&lt;/sta...</td>\n",
       "      <td>&lt;corner&gt;&lt;value&gt;&lt;stats&gt;&lt;corners&gt;1&lt;/corners&gt;&lt;/st...</td>\n",
       "      <td>&lt;possession&gt;&lt;value&gt;&lt;comment&gt;27&lt;/comment&gt;&lt;event...</td>\n",
       "      <td>7.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>1.50</td>\n",
       "      <td>6.45</td>\n",
       "      <td>3.55</td>\n",
       "      <td>1.50</td>\n",
       "      <td>6.00</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.50</td>\n",
       "      <td>7.00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>1.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>1.40</td>\n",
       "      <td>6.50</td>\n",
       "      <td>3.75</td>\n",
       "      <td>1.57</td>\n",
       "      <td>7.00</td>\n",
       "      <td>3.75</td>\n",
       "      <td>1.45</td>\n",
       "      <td>6.50</td>\n",
       "      <td>3.75</td>\n",
       "      <td>1.53</td>\n",
       "      <td>5.50</td>\n",
       "      <td>3.75</td>\n",
       "      <td>1.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>21522</td>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>2008/2009</td>\n",
       "      <td>1</td>\n",
       "      <td>2008-08-31 00:00:00</td>\n",
       "      <td>530087</td>\n",
       "      <td>8696</td>\n",
       "      <td>8302</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>37579.0</td>\n",
       "      <td>33896.0</td>\n",
       "      <td>37581.0</td>\n",
       "      <td>80497.0</td>\n",
       "      <td>18664.0</td>\n",
       "      <td>38403.0</td>\n",
       "      <td>37512.0</td>\n",
       "      <td>32999.0</td>\n",
       "      <td>33892.0</td>\n",
       "      <td>35638.0</td>\n",
       "      <td>150644.0</td>\n",
       "      <td>33986.0</td>\n",
       "      <td>39562.0</td>\n",
       "      <td>33812.0</td>\n",
       "      <td>38138.0</td>\n",
       "      <td>33848.0</td>\n",
       "      <td>33991.0</td>\n",
       "      <td>34000.0</td>\n",
       "      <td>31014.0</td>\n",
       "      <td>33992.0</td>\n",
       "      <td>33989.0</td>\n",
       "      <td>34106.0</td>\n",
       "      <td>&lt;goal&gt;&lt;value&gt;&lt;comment&gt;n&lt;/comment&gt;&lt;stats&gt;&lt;goals...</td>\n",
       "      <td>&lt;shoton /&gt;</td>\n",
       "      <td>&lt;shotoff /&gt;</td>\n",
       "      <td>&lt;foulcommit /&gt;</td>\n",
       "      <td>&lt;card&gt;&lt;value&gt;&lt;comment&gt;y&lt;/comment&gt;&lt;stats&gt;&lt;ycard...</td>\n",
       "      <td>&lt;cross /&gt;</td>\n",
       "      <td>&lt;corner /&gt;</td>\n",
       "      <td>&lt;possession /&gt;</td>\n",
       "      <td>2.80</td>\n",
       "      <td>3.30</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.65</td>\n",
       "      <td>3.25</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.55</td>\n",
       "      <td>3.1</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.60</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.75</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2.90</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.30</td>\n",
       "      <td>2.70</td>\n",
       "      <td>3.10</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.75</td>\n",
       "      <td>3.25</td>\n",
       "      <td>2.45</td>\n",
       "      <td>2.70</td>\n",
       "      <td>3.25</td>\n",
       "      <td>2.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3035</th>\n",
       "      <td>24553</td>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-10-25 00:00:00</td>\n",
       "      <td>2030167</td>\n",
       "      <td>9906</td>\n",
       "      <td>10267</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>177126.0</td>\n",
       "      <td>38424.0</td>\n",
       "      <td>474589.0</td>\n",
       "      <td>56678.0</td>\n",
       "      <td>41167.0</td>\n",
       "      <td>33635.0</td>\n",
       "      <td>30871.0</td>\n",
       "      <td>184533.0</td>\n",
       "      <td>354467.0</td>\n",
       "      <td>51360.0</td>\n",
       "      <td>184138.0</td>\n",
       "      <td>489240.0</td>\n",
       "      <td>361757.0</td>\n",
       "      <td>184999.0</td>\n",
       "      <td>361710.0</td>\n",
       "      <td>391058.0</td>\n",
       "      <td>75307.0</td>\n",
       "      <td>40148.0</td>\n",
       "      <td>570432.0</td>\n",
       "      <td>361770.0</td>\n",
       "      <td>193869.0</td>\n",
       "      <td>428947.0</td>\n",
       "      <td>&lt;goal&gt;&lt;value&gt;&lt;comment&gt;n&lt;/comment&gt;&lt;stats&gt;&lt;goals...</td>\n",
       "      <td>&lt;shoton&gt;&lt;value&gt;&lt;stats&gt;&lt;shoton&gt;1&lt;/shoton&gt;&lt;/stat...</td>\n",
       "      <td>&lt;shotoff&gt;&lt;value&gt;&lt;stats&gt;&lt;shotoff&gt;1&lt;/shotoff&gt;&lt;/s...</td>\n",
       "      <td>&lt;foulcommit&gt;&lt;value&gt;&lt;stats&gt;&lt;foulscommitted&gt;1&lt;/f...</td>\n",
       "      <td>&lt;card&gt;&lt;value&gt;&lt;comment&gt;y&lt;/comment&gt;&lt;stats&gt;&lt;ycard...</td>\n",
       "      <td>&lt;cross&gt;&lt;value&gt;&lt;stats&gt;&lt;crosses&gt;1&lt;/crosses&gt;&lt;/sta...</td>\n",
       "      <td>&lt;corner&gt;&lt;value&gt;&lt;stats&gt;&lt;corners&gt;1&lt;/corners&gt;&lt;/st...</td>\n",
       "      <td>&lt;possession&gt;&lt;value&gt;&lt;comment&gt;49&lt;/comment&gt;&lt;stats...</td>\n",
       "      <td>1.57</td>\n",
       "      <td>3.80</td>\n",
       "      <td>6.50</td>\n",
       "      <td>1.57</td>\n",
       "      <td>4.00</td>\n",
       "      <td>6.50</td>\n",
       "      <td>1.65</td>\n",
       "      <td>3.7</td>\n",
       "      <td>4.90</td>\n",
       "      <td>1.57</td>\n",
       "      <td>3.75</td>\n",
       "      <td>6.50</td>\n",
       "      <td>1.58</td>\n",
       "      <td>4.05</td>\n",
       "      <td>7.06</td>\n",
       "      <td>1.62</td>\n",
       "      <td>3.30</td>\n",
       "      <td>7.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.57</td>\n",
       "      <td>4.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3036</th>\n",
       "      <td>24554</td>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-10-24 00:00:00</td>\n",
       "      <td>2030168</td>\n",
       "      <td>9864</td>\n",
       "      <td>9783</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>25563.0</td>\n",
       "      <td>104382.0</td>\n",
       "      <td>477471.0</td>\n",
       "      <td>41707.0</td>\n",
       "      <td>38842.0</td>\n",
       "      <td>39198.0</td>\n",
       "      <td>238841.0</td>\n",
       "      <td>261599.0</td>\n",
       "      <td>37450.0</td>\n",
       "      <td>215927.0</td>\n",
       "      <td>213653.0</td>\n",
       "      <td>32678.0</td>\n",
       "      <td>103905.0</td>\n",
       "      <td>191906.0</td>\n",
       "      <td>121872.0</td>\n",
       "      <td>33848.0</td>\n",
       "      <td>279173.0</td>\n",
       "      <td>51953.0</td>\n",
       "      <td>40668.0</td>\n",
       "      <td>474680.0</td>\n",
       "      <td>37653.0</td>\n",
       "      <td>194660.0</td>\n",
       "      <td>&lt;goal&gt;&lt;value&gt;&lt;comment&gt;n&lt;/comment&gt;&lt;stats&gt;&lt;goals...</td>\n",
       "      <td>&lt;shoton&gt;&lt;value&gt;&lt;event_incident_typefk&gt;876&lt;/eve...</td>\n",
       "      <td>&lt;shotoff&gt;&lt;value&gt;&lt;stats&gt;&lt;shotoff&gt;1&lt;/shotoff&gt;&lt;/s...</td>\n",
       "      <td>&lt;foulcommit&gt;&lt;value&gt;&lt;stats&gt;&lt;foulscommitted&gt;1&lt;/f...</td>\n",
       "      <td>&lt;card&gt;&lt;value&gt;&lt;comment&gt;y&lt;/comment&gt;&lt;stats&gt;&lt;ycard...</td>\n",
       "      <td>&lt;cross&gt;&lt;value&gt;&lt;stats&gt;&lt;crosses&gt;1&lt;/crosses&gt;&lt;/sta...</td>\n",
       "      <td>&lt;corner&gt;&lt;value&gt;&lt;stats&gt;&lt;corners&gt;1&lt;/corners&gt;&lt;/st...</td>\n",
       "      <td>&lt;possession&gt;&lt;value&gt;&lt;comment&gt;53&lt;/comment&gt;&lt;stats...</td>\n",
       "      <td>2.25</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.40</td>\n",
       "      <td>2.35</td>\n",
       "      <td>3.10</td>\n",
       "      <td>3.10</td>\n",
       "      <td>2.20</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.25</td>\n",
       "      <td>3.20</td>\n",
       "      <td>3.25</td>\n",
       "      <td>2.36</td>\n",
       "      <td>3.36</td>\n",
       "      <td>3.36</td>\n",
       "      <td>2.38</td>\n",
       "      <td>3.10</td>\n",
       "      <td>3.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.30</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3037</th>\n",
       "      <td>24555</td>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-10-26 00:00:00</td>\n",
       "      <td>2030169</td>\n",
       "      <td>8315</td>\n",
       "      <td>9869</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>33764.0</td>\n",
       "      <td>181297.0</td>\n",
       "      <td>159881.0</td>\n",
       "      <td>411617.0</td>\n",
       "      <td>154938.0</td>\n",
       "      <td>182224.0</td>\n",
       "      <td>33871.0</td>\n",
       "      <td>45749.0</td>\n",
       "      <td>604105.0</td>\n",
       "      <td>96619.0</td>\n",
       "      <td>33028.0</td>\n",
       "      <td>102394.0</td>\n",
       "      <td>150480.0</td>\n",
       "      <td>384374.0</td>\n",
       "      <td>150764.0</td>\n",
       "      <td>239965.0</td>\n",
       "      <td>359191.0</td>\n",
       "      <td>202639.0</td>\n",
       "      <td>242477.0</td>\n",
       "      <td>541557.0</td>\n",
       "      <td>395154.0</td>\n",
       "      <td>206301.0</td>\n",
       "      <td>&lt;goal&gt;&lt;value&gt;&lt;comment&gt;n&lt;/comment&gt;&lt;stats&gt;&lt;goals...</td>\n",
       "      <td>&lt;shoton&gt;&lt;value&gt;&lt;stats&gt;&lt;blocked&gt;1&lt;/blocked&gt;&lt;/st...</td>\n",
       "      <td>&lt;shotoff&gt;&lt;value&gt;&lt;stats&gt;&lt;shotoff&gt;1&lt;/shotoff&gt;&lt;/s...</td>\n",
       "      <td>&lt;foulcommit&gt;&lt;value&gt;&lt;stats&gt;&lt;foulscommitted&gt;1&lt;/f...</td>\n",
       "      <td>&lt;card&gt;&lt;value&gt;&lt;comment&gt;y&lt;/comment&gt;&lt;stats&gt;&lt;ycard...</td>\n",
       "      <td>&lt;cross&gt;&lt;value&gt;&lt;stats&gt;&lt;crosses&gt;1&lt;/crosses&gt;&lt;/sta...</td>\n",
       "      <td>&lt;corner&gt;&lt;value&gt;&lt;stats&gt;&lt;corners&gt;1&lt;/corners&gt;&lt;/st...</td>\n",
       "      <td>&lt;possession&gt;&lt;value&gt;&lt;comment&gt;49&lt;/comment&gt;&lt;stats...</td>\n",
       "      <td>1.53</td>\n",
       "      <td>4.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>1.55</td>\n",
       "      <td>4.00</td>\n",
       "      <td>6.50</td>\n",
       "      <td>1.60</td>\n",
       "      <td>3.7</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.50</td>\n",
       "      <td>4.00</td>\n",
       "      <td>6.50</td>\n",
       "      <td>1.55</td>\n",
       "      <td>4.31</td>\n",
       "      <td>6.95</td>\n",
       "      <td>1.57</td>\n",
       "      <td>3.50</td>\n",
       "      <td>7.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.55</td>\n",
       "      <td>4.20</td>\n",
       "      <td>7.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3038</th>\n",
       "      <td>24556</td>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-10-24 00:00:00</td>\n",
       "      <td>2030170</td>\n",
       "      <td>7878</td>\n",
       "      <td>8603</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>104986.0</td>\n",
       "      <td>261609.0</td>\n",
       "      <td>108572.0</td>\n",
       "      <td>2752.0</td>\n",
       "      <td>239350.0</td>\n",
       "      <td>2805.0</td>\n",
       "      <td>170667.0</td>\n",
       "      <td>80492.0</td>\n",
       "      <td>534484.0</td>\n",
       "      <td>161291.0</td>\n",
       "      <td>43372.0</td>\n",
       "      <td>40648.0</td>\n",
       "      <td>239964.0</td>\n",
       "      <td>268273.0</td>\n",
       "      <td>27461.0</td>\n",
       "      <td>445907.0</td>\n",
       "      <td>37824.0</td>\n",
       "      <td>111801.0</td>\n",
       "      <td>535600.0</td>\n",
       "      <td>193226.0</td>\n",
       "      <td>114746.0</td>\n",
       "      <td>96652.0</td>\n",
       "      <td>&lt;goal&gt;&lt;value&gt;&lt;comment&gt;n&lt;/comment&gt;&lt;stats&gt;&lt;goals...</td>\n",
       "      <td>&lt;shoton&gt;&lt;value&gt;&lt;stats&gt;&lt;shoton&gt;1&lt;/shoton&gt;&lt;/stat...</td>\n",
       "      <td>&lt;shotoff&gt;&lt;value&gt;&lt;stats&gt;&lt;shotoff&gt;1&lt;/shotoff&gt;&lt;/s...</td>\n",
       "      <td>&lt;foulcommit&gt;&lt;value&gt;&lt;stats&gt;&lt;foulscommitted&gt;1&lt;/f...</td>\n",
       "      <td>&lt;card&gt;&lt;value&gt;&lt;comment&gt;y&lt;/comment&gt;&lt;stats&gt;&lt;ycard...</td>\n",
       "      <td>&lt;cross&gt;&lt;value&gt;&lt;stats&gt;&lt;crosses&gt;1&lt;/crosses&gt;&lt;/sta...</td>\n",
       "      <td>&lt;corner&gt;&lt;value&gt;&lt;stats&gt;&lt;corners&gt;1&lt;/corners&gt;&lt;/st...</td>\n",
       "      <td>&lt;possession&gt;&lt;value&gt;&lt;comment&gt;50&lt;/comment&gt;&lt;stats...</td>\n",
       "      <td>2.30</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.25</td>\n",
       "      <td>2.35</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.00</td>\n",
       "      <td>2.40</td>\n",
       "      <td>3.3</td>\n",
       "      <td>2.75</td>\n",
       "      <td>2.30</td>\n",
       "      <td>3.20</td>\n",
       "      <td>3.10</td>\n",
       "      <td>2.34</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.35</td>\n",
       "      <td>2.40</td>\n",
       "      <td>3.10</td>\n",
       "      <td>3.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.30</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3039</th>\n",
       "      <td>24557</td>\n",
       "      <td>21518</td>\n",
       "      <td>21518</td>\n",
       "      <td>2015/2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-10-23 00:00:00</td>\n",
       "      <td>2030171</td>\n",
       "      <td>8370</td>\n",
       "      <td>8558</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>11.0</td>\n",
       "      <td>37579.0</td>\n",
       "      <td>183449.0</td>\n",
       "      <td>34104.0</td>\n",
       "      <td>420568.0</td>\n",
       "      <td>40220.0</td>\n",
       "      <td>186121.0</td>\n",
       "      <td>75004.0</td>\n",
       "      <td>256727.0</td>\n",
       "      <td>427893.0</td>\n",
       "      <td>36130.0</td>\n",
       "      <td>46808.0</td>\n",
       "      <td>532942.0</td>\n",
       "      <td>213814.0</td>\n",
       "      <td>193930.0</td>\n",
       "      <td>257855.0</td>\n",
       "      <td>190452.0</td>\n",
       "      <td>107930.0</td>\n",
       "      <td>161651.0</td>\n",
       "      <td>88986.0</td>\n",
       "      <td>498033.0</td>\n",
       "      <td>52004.0</td>\n",
       "      <td>41622.0</td>\n",
       "      <td>&lt;goal&gt;&lt;value&gt;&lt;comment&gt;p&lt;/comment&gt;&lt;stats&gt;&lt;penal...</td>\n",
       "      <td>&lt;shoton&gt;&lt;value&gt;&lt;stats&gt;&lt;blocked&gt;1&lt;/blocked&gt;&lt;/st...</td>\n",
       "      <td>&lt;shotoff&gt;&lt;value&gt;&lt;stats&gt;&lt;shotoff&gt;1&lt;/shotoff&gt;&lt;/s...</td>\n",
       "      <td>&lt;foulcommit&gt;&lt;value&gt;&lt;stats&gt;&lt;foulscommitted&gt;1&lt;/f...</td>\n",
       "      <td>&lt;card&gt;&lt;value&gt;&lt;comment&gt;y&lt;/comment&gt;&lt;stats&gt;&lt;ycard...</td>\n",
       "      <td>&lt;cross&gt;&lt;value&gt;&lt;stats&gt;&lt;crosses&gt;1&lt;/crosses&gt;&lt;/sta...</td>\n",
       "      <td>&lt;corner&gt;&lt;value&gt;&lt;stats&gt;&lt;corners&gt;1&lt;/corners&gt;&lt;/st...</td>\n",
       "      <td>&lt;possession&gt;&lt;value&gt;&lt;comment&gt;59&lt;/comment&gt;&lt;stats...</td>\n",
       "      <td>2.20</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.25</td>\n",
       "      <td>3.50</td>\n",
       "      <td>3.20</td>\n",
       "      <td>2.30</td>\n",
       "      <td>3.3</td>\n",
       "      <td>2.90</td>\n",
       "      <td>2.10</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.30</td>\n",
       "      <td>2.20</td>\n",
       "      <td>3.61</td>\n",
       "      <td>3.46</td>\n",
       "      <td>2.20</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.20</td>\n",
       "      <td>3.60</td>\n",
       "      <td>3.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3040 rows × 115 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id  country_id  league_id     season  stage                 date  \\\n",
       "0     21518       21518      21518  2008/2009      1  2008-08-30 00:00:00   \n",
       "1     21519       21518      21518  2008/2009      1  2008-08-31 00:00:00   \n",
       "2     21520       21518      21518  2008/2009      1  2008-08-31 00:00:00   \n",
       "3     21521       21518      21518  2008/2009      1  2008-08-31 00:00:00   \n",
       "4     21522       21518      21518  2008/2009      1  2008-08-31 00:00:00   \n",
       "...     ...         ...        ...        ...    ...                  ...   \n",
       "3035  24553       21518      21518  2015/2016      9  2015-10-25 00:00:00   \n",
       "3036  24554       21518      21518  2015/2016      9  2015-10-24 00:00:00   \n",
       "3037  24555       21518      21518  2015/2016      9  2015-10-26 00:00:00   \n",
       "3038  24556       21518      21518  2015/2016      9  2015-10-24 00:00:00   \n",
       "3039  24557       21518      21518  2015/2016      9  2015-10-23 00:00:00   \n",
       "\n",
       "      match_api_id  home_team_api_id  away_team_api_id  home_team_goal  \\\n",
       "0           530023             10267              8661               3   \n",
       "1           530084              8371             10205               1   \n",
       "2           530085              9783              8633               2   \n",
       "3           530086              8388              8634               1   \n",
       "4           530087              8696              8302               1   \n",
       "...            ...               ...               ...             ...   \n",
       "3035       2030167              9906             10267               2   \n",
       "3036       2030168              9864              9783               2   \n",
       "3037       2030169              8315              9869               3   \n",
       "3038       2030170              7878              8603               1   \n",
       "3039       2030171              8370              8558               3   \n",
       "\n",
       "      away_team_goal  home_player_X1  home_player_X2  home_player_X3  \\\n",
       "0                  0               1               2               4   \n",
       "1                  1               1               2               4   \n",
       "2                  1               1               2               4   \n",
       "3                  0               1               2               4   \n",
       "4                  1               1               2               4   \n",
       "...              ...             ...             ...             ...   \n",
       "3035               1               1               2               4   \n",
       "3036               0               1               2               4   \n",
       "3037               0               1               2               4   \n",
       "3038               1               1               2               4   \n",
       "3039               0               1               2               4   \n",
       "\n",
       "      home_player_X4  home_player_X5  home_player_X6  home_player_X7  \\\n",
       "0                  6               8               4               6   \n",
       "1                  6               8               4               6   \n",
       "2                  8               6               2               4   \n",
       "3                  6               8               2               4   \n",
       "4                  6               8               2               4   \n",
       "...              ...             ...             ...             ...   \n",
       "3035               6               8               3               5   \n",
       "3036               6               8               4               6   \n",
       "3037               6               8               4               5   \n",
       "3038               6               8               3               5   \n",
       "3039               6               8               4               6   \n",
       "\n",
       "      home_player_X8  home_player_X9  home_player_X10  home_player_X11  \\\n",
       "0                  3               5                7                5   \n",
       "1                  3               5                7                5   \n",
       "2                  6               8                4                6   \n",
       "3                  6               8                5                5   \n",
       "4                  6               8                4                6   \n",
       "...              ...             ...              ...              ...   \n",
       "3035               7               3                5                7   \n",
       "3036               3               5                7                5   \n",
       "3037               6               3                7                5   \n",
       "3038               7               3                5                7   \n",
       "3039               3               5                7                5   \n",
       "\n",
       "      away_player_X1  away_player_X2  away_player_X3  away_player_X4  \\\n",
       "0                  1               2               4               6   \n",
       "1                  1               2               4               6   \n",
       "2                  1               2               4               6   \n",
       "3                  1               2               4               6   \n",
       "4                  1               2               4               6   \n",
       "...              ...             ...             ...             ...   \n",
       "3035               1               2               4               6   \n",
       "3036               1               2               4               6   \n",
       "3037               1               2               4               6   \n",
       "3038               1               2               4               6   \n",
       "3039               1               2               4               6   \n",
       "\n",
       "      away_player_X5  away_player_X6  away_player_X7  away_player_X8  \\\n",
       "0                  8               5               4               6   \n",
       "1                  8               2               4               6   \n",
       "2                  8               4               6               3   \n",
       "3                  8               3               5               7   \n",
       "4                  8               2               4               6   \n",
       "...              ...             ...             ...             ...   \n",
       "3035               8               2               4               6   \n",
       "3036               8               2               4               6   \n",
       "3037               8               3               5               7   \n",
       "3038               8               2               4               6   \n",
       "3039               8               4               6               3   \n",
       "\n",
       "      away_player_X9  away_player_X10  away_player_X11  home_player_Y1  \\\n",
       "0                  5                4              6.0               1   \n",
       "1                  8                4              6.0               1   \n",
       "2                  5                7              5.0               1   \n",
       "3                  3                5              7.0               1   \n",
       "4                  8                4              6.0               1   \n",
       "...              ...              ...              ...             ...   \n",
       "3035               8                4              6.0               1   \n",
       "3036               8                4              6.0               1   \n",
       "3037               7                3              5.0               1   \n",
       "3038               8                4              6.0               1   \n",
       "3039               5                7              5.0               1   \n",
       "\n",
       "      home_player_Y2  home_player_Y3  home_player_Y4  home_player_Y5  \\\n",
       "0                  3               3               3               3   \n",
       "1                  3               3               3               3   \n",
       "2                  3               3               3               3   \n",
       "3                  3               3               3               3   \n",
       "4                  3               3               3               3   \n",
       "...              ...             ...             ...             ...   \n",
       "3035               3               3               3               3   \n",
       "3036               3               3               3               3   \n",
       "3037               3               3               3               3   \n",
       "3038               3               3               3               3   \n",
       "3039               3               3               3               3   \n",
       "\n",
       "      home_player_Y6  home_player_Y7  home_player_Y8  home_player_Y9  \\\n",
       "0                  6               6               8               8   \n",
       "1                  6               6               8               8   \n",
       "2                  7               7               7               7   \n",
       "3                  7               7               7               7   \n",
       "4                  7               7               7               7   \n",
       "...              ...             ...             ...             ...   \n",
       "3035               7               7               7              10   \n",
       "3036               6               6               8               8   \n",
       "3037               6               8               6               8   \n",
       "3038               7               7               7              10   \n",
       "3039               6               6               8               8   \n",
       "\n",
       "      home_player_Y10  home_player_Y11  away_player_Y1  away_player_Y2  \\\n",
       "0                   8               11               1               3   \n",
       "1                   8               11               1               3   \n",
       "2                  10               10               1               3   \n",
       "3                   9               11               1               3   \n",
       "4                  10               10               1               3   \n",
       "...               ...              ...             ...             ...   \n",
       "3035               10               10               1               3   \n",
       "3036                8               11               1               3   \n",
       "3037                8               11               1               3   \n",
       "3038               10               10               1               3   \n",
       "3039                8               11               1               3   \n",
       "\n",
       "      away_player_Y3  away_player_Y4  away_player_Y5  away_player_Y6  \\\n",
       "0                  3               3               3               5   \n",
       "1                  3               3               3               7   \n",
       "2                  3               3               3               6   \n",
       "3                  3               3               3               7   \n",
       "4                  3               3               3               7   \n",
       "...              ...             ...             ...             ...   \n",
       "3035               3               3               3               7   \n",
       "3036               3               3               3               7   \n",
       "3037               3               3               3               7   \n",
       "3038               3               3               3               7   \n",
       "3039               3               3               3               6   \n",
       "\n",
       "      away_player_Y7  away_player_Y8  away_player_Y9  away_player_Y10  \\\n",
       "0                  7               7               9               11   \n",
       "1                  7               7               7               10   \n",
       "2                  6               8               8                8   \n",
       "3                  7               7              10               10   \n",
       "4                  7               7               7               10   \n",
       "...              ...             ...             ...              ...   \n",
       "3035               7               7               7               10   \n",
       "3036               7               7               7               10   \n",
       "3037               7               7              10               10   \n",
       "3038               7               7               7               10   \n",
       "3039               6               8               8                8   \n",
       "\n",
       "      away_player_Y11  home_player_1  home_player_2  home_player_3  \\\n",
       "0                11.0        19435.0        34007.0        34029.0   \n",
       "1                10.0        24591.0        72541.0        33865.0   \n",
       "2                11.0        33018.0       111190.0        37451.0   \n",
       "3                10.0        75195.0        75199.0            NaN   \n",
       "4                10.0        37579.0        33896.0        37581.0   \n",
       "...               ...            ...            ...            ...   \n",
       "3035             10.0       177126.0        38424.0       474589.0   \n",
       "3036             10.0        25563.0       104382.0       477471.0   \n",
       "3037             10.0        33764.0       181297.0       159881.0   \n",
       "3038             10.0       104986.0       261609.0       108572.0   \n",
       "3039             11.0        37579.0       183449.0        34104.0   \n",
       "\n",
       "      home_player_4  home_player_5  home_player_6  home_player_7  \\\n",
       "0           37479.0        34008.0        32761.0        30666.0   \n",
       "1           11778.0        38521.0        42369.0        33870.0   \n",
       "2           41167.0        34104.0        37447.0        30271.0   \n",
       "3           38561.0        74435.0       102374.0        38008.0   \n",
       "4           80497.0        18664.0        38403.0        37512.0   \n",
       "...             ...            ...            ...            ...   \n",
       "3035        56678.0        41167.0        33635.0        30871.0   \n",
       "3036        41707.0        38842.0        39198.0       238841.0   \n",
       "3037       411617.0       154938.0       182224.0        33871.0   \n",
       "3038         2752.0       239350.0         2805.0       170667.0   \n",
       "3039       420568.0        40220.0       186121.0        75004.0   \n",
       "\n",
       "      home_player_8  home_player_9  home_player_10  home_player_11  \\\n",
       "0            2802.0        37459.0         41468.0         30909.0   \n",
       "1           38424.0        30907.0         33641.0        108809.0   \n",
       "2           33758.0        31045.0         37441.0         34956.0   \n",
       "3           74721.0        38550.0             NaN         38526.0   \n",
       "4           32999.0        33892.0         35638.0        150644.0   \n",
       "...             ...            ...             ...             ...   \n",
       "3035       184533.0       354467.0         51360.0        184138.0   \n",
       "3036       261599.0        37450.0        215927.0        213653.0   \n",
       "3037        45749.0       604105.0         96619.0         33028.0   \n",
       "3038        80492.0       534484.0        161291.0         43372.0   \n",
       "3039       256727.0       427893.0         36130.0         46808.0   \n",
       "\n",
       "      away_player_1  away_player_2  away_player_3  away_player_4  \\\n",
       "0           33845.0        24131.0        33856.0        33849.0   \n",
       "1           41466.0        30279.0        56678.0        38458.0   \n",
       "2           30657.0        30962.0        25921.0        30670.0   \n",
       "3           32657.0        33988.0        30661.0        30740.0   \n",
       "4           33986.0        39562.0        33812.0        38138.0   \n",
       "...             ...            ...            ...            ...   \n",
       "3035       489240.0       361757.0       184999.0       361710.0   \n",
       "3036        32678.0       103905.0       191906.0       121872.0   \n",
       "3037       102394.0       150480.0       384374.0       150764.0   \n",
       "3038        40648.0       239964.0       268273.0        27461.0   \n",
       "3039       532942.0       213814.0       193930.0       257855.0   \n",
       "\n",
       "      away_player_5  away_player_6  away_player_7  away_player_8  \\\n",
       "0           33861.0        38160.0        37491.0        38398.0   \n",
       "1           40599.0        37436.0        38746.0        30958.0   \n",
       "2           28467.0        37259.0        32765.0        25759.0   \n",
       "3           30738.0        39854.0        36615.0        30955.0   \n",
       "4           33848.0        33991.0        34000.0        31014.0   \n",
       "...             ...            ...            ...            ...   \n",
       "3035       391058.0        75307.0        40148.0       570432.0   \n",
       "3036        33848.0       279173.0        51953.0        40668.0   \n",
       "3037       239965.0       359191.0       202639.0       242477.0   \n",
       "3038       445907.0        37824.0       111801.0       535600.0   \n",
       "3039       190452.0       107930.0       161651.0        88986.0   \n",
       "\n",
       "      away_player_9  away_player_10  away_player_11  \\\n",
       "0           37411.0         21414.0         25574.0   \n",
       "1           38362.0         38551.0         31020.0   \n",
       "2           30655.0         30834.0         34602.0   \n",
       "3           30981.0         33639.0         30626.0   \n",
       "4           33992.0         33989.0         34106.0   \n",
       "...             ...             ...             ...   \n",
       "3035       361770.0        193869.0        428947.0   \n",
       "3036       474680.0         37653.0        194660.0   \n",
       "3037       541557.0        395154.0        206301.0   \n",
       "3038       193226.0        114746.0         96652.0   \n",
       "3039       498033.0         52004.0         41622.0   \n",
       "\n",
       "                                                   goal  \\\n",
       "0     <goal><value><comment>n</comment><stats><goals...   \n",
       "1     <goal><value><comment>n</comment><stats><goals...   \n",
       "2     <goal><value><comment>n</comment><stats><goals...   \n",
       "3     <goal><value><comment>n</comment><stats><goals...   \n",
       "4     <goal><value><comment>n</comment><stats><goals...   \n",
       "...                                                 ...   \n",
       "3035  <goal><value><comment>n</comment><stats><goals...   \n",
       "3036  <goal><value><comment>n</comment><stats><goals...   \n",
       "3037  <goal><value><comment>n</comment><stats><goals...   \n",
       "3038  <goal><value><comment>n</comment><stats><goals...   \n",
       "3039  <goal><value><comment>p</comment><stats><penal...   \n",
       "\n",
       "                                                 shoton  \\\n",
       "0     <shoton><value><stats><shoton>1</shoton></stat...   \n",
       "1                                            <shoton />   \n",
       "2     <shoton><value><stats><blocked>1</blocked></st...   \n",
       "3     <shoton><value><stats><shoton>1</shoton></stat...   \n",
       "4                                            <shoton />   \n",
       "...                                                 ...   \n",
       "3035  <shoton><value><stats><shoton>1</shoton></stat...   \n",
       "3036  <shoton><value><event_incident_typefk>876</eve...   \n",
       "3037  <shoton><value><stats><blocked>1</blocked></st...   \n",
       "3038  <shoton><value><stats><shoton>1</shoton></stat...   \n",
       "3039  <shoton><value><stats><blocked>1</blocked></st...   \n",
       "\n",
       "                                                shotoff  \\\n",
       "0     <shotoff><value><stats><shotoff>1</shotoff></s...   \n",
       "1                                           <shotoff />   \n",
       "2     <shotoff><value><stats><shotoff>1</shotoff></s...   \n",
       "3     <shotoff><value><stats><shotoff>1</shotoff></s...   \n",
       "4                                           <shotoff />   \n",
       "...                                                 ...   \n",
       "3035  <shotoff><value><stats><shotoff>1</shotoff></s...   \n",
       "3036  <shotoff><value><stats><shotoff>1</shotoff></s...   \n",
       "3037  <shotoff><value><stats><shotoff>1</shotoff></s...   \n",
       "3038  <shotoff><value><stats><shotoff>1</shotoff></s...   \n",
       "3039  <shotoff><value><stats><shotoff>1</shotoff></s...   \n",
       "\n",
       "                                             foulcommit  \\\n",
       "0     <foulcommit><value><stats><foulscommitted>1</f...   \n",
       "1                                        <foulcommit />   \n",
       "2     <foulcommit><value><stats><foulscommitted>1</f...   \n",
       "3     <foulcommit><value><stats><foulscommitted>1</f...   \n",
       "4                                        <foulcommit />   \n",
       "...                                                 ...   \n",
       "3035  <foulcommit><value><stats><foulscommitted>1</f...   \n",
       "3036  <foulcommit><value><stats><foulscommitted>1</f...   \n",
       "3037  <foulcommit><value><stats><foulscommitted>1</f...   \n",
       "3038  <foulcommit><value><stats><foulscommitted>1</f...   \n",
       "3039  <foulcommit><value><stats><foulscommitted>1</f...   \n",
       "\n",
       "                                                   card  \\\n",
       "0     <card><value><comment>y</comment><stats><ycard...   \n",
       "1     <card><value><comment>y</comment><stats><ycard...   \n",
       "2     <card><value><comment>y</comment><stats><ycard...   \n",
       "3     <card><value><comment>y</comment><stats><ycard...   \n",
       "4     <card><value><comment>y</comment><stats><ycard...   \n",
       "...                                                 ...   \n",
       "3035  <card><value><comment>y</comment><stats><ycard...   \n",
       "3036  <card><value><comment>y</comment><stats><ycard...   \n",
       "3037  <card><value><comment>y</comment><stats><ycard...   \n",
       "3038  <card><value><comment>y</comment><stats><ycard...   \n",
       "3039  <card><value><comment>y</comment><stats><ycard...   \n",
       "\n",
       "                                                  cross  \\\n",
       "0     <cross><value><stats><corners>1</corners></sta...   \n",
       "1                                             <cross />   \n",
       "2     <cross><value><stats><crosses>1</crosses></sta...   \n",
       "3     <cross><value><stats><crosses>1</crosses></sta...   \n",
       "4                                             <cross />   \n",
       "...                                                 ...   \n",
       "3035  <cross><value><stats><crosses>1</crosses></sta...   \n",
       "3036  <cross><value><stats><crosses>1</crosses></sta...   \n",
       "3037  <cross><value><stats><crosses>1</crosses></sta...   \n",
       "3038  <cross><value><stats><crosses>1</crosses></sta...   \n",
       "3039  <cross><value><stats><crosses>1</crosses></sta...   \n",
       "\n",
       "                                                 corner  \\\n",
       "0     <corner><value><stats><corners>1</corners></st...   \n",
       "1                                            <corner />   \n",
       "2     <corner><value><stats><corners>1</corners></st...   \n",
       "3     <corner><value><stats><corners>1</corners></st...   \n",
       "4                                            <corner />   \n",
       "...                                                 ...   \n",
       "3035  <corner><value><stats><corners>1</corners></st...   \n",
       "3036  <corner><value><stats><corners>1</corners></st...   \n",
       "3037  <corner><value><stats><corners>1</corners></st...   \n",
       "3038  <corner><value><stats><corners>1</corners></st...   \n",
       "3039  <corner><value><stats><corners>1</corners></st...   \n",
       "\n",
       "                                             possession  B365H  B365D  B365A  \\\n",
       "0     <possession><value><comment>53</comment><event...   1.70   3.60   5.25   \n",
       "1                                        <possession />   2.80   3.30   2.50   \n",
       "2     <possession><value><comment>44</comment><event...   3.50   3.30   2.10   \n",
       "3     <possession><value><comment>27</comment><event...   7.00   4.00   1.50   \n",
       "4                                        <possession />   2.80   3.30   2.50   \n",
       "...                                                 ...    ...    ...    ...   \n",
       "3035  <possession><value><comment>49</comment><stats...   1.57   3.80   6.50   \n",
       "3036  <possession><value><comment>53</comment><stats...   2.25   3.25   3.40   \n",
       "3037  <possession><value><comment>49</comment><stats...   1.53   4.00   7.00   \n",
       "3038  <possession><value><comment>50</comment><stats...   2.30   3.25   3.25   \n",
       "3039  <possession><value><comment>59</comment><stats...   2.20   3.40   3.20   \n",
       "\n",
       "       BWH   BWD   BWA   IWH  IWD   IWA   LBH   LBD   LBA   PSH   PSD   PSA  \\\n",
       "0     1.65  3.35  5.00  1.70  3.3  4.50  1.62  3.50  4.50   NaN   NaN   NaN   \n",
       "1     2.90  3.25  2.20  2.80  3.1  2.30  2.75  3.00  2.38   NaN   NaN   NaN   \n",
       "2     3.90  3.25  1.85  3.20  3.1  2.10  3.20  3.20  2.00   NaN   NaN   NaN   \n",
       "3     6.45  3.55  1.50  6.00  3.6  1.50  7.00  3.75  1.40   NaN   NaN   NaN   \n",
       "4     2.65  3.25  2.40  2.55  3.1  2.55  2.60  3.20  2.38   NaN   NaN   NaN   \n",
       "...    ...   ...   ...   ...  ...   ...   ...   ...   ...   ...   ...   ...   \n",
       "3035  1.57  4.00  6.50  1.65  3.7  4.90  1.57  3.75  6.50  1.58  4.05  7.06   \n",
       "3036  2.35  3.10  3.10  2.20  3.2  3.20  2.25  3.20  3.25  2.36  3.36  3.36   \n",
       "3037  1.55  4.00  6.50  1.60  3.7  5.40  1.50  4.00  6.50  1.55  4.31  6.95   \n",
       "3038  2.35  3.25  3.00  2.40  3.3  2.75  2.30  3.20  3.10  2.34  3.40  3.35   \n",
       "3039  2.25  3.50  3.20  2.30  3.3  2.90  2.10  3.40  3.30  2.20  3.61  3.46   \n",
       "\n",
       "       WHH   WHD   WHA   SJH   SJD   SJA   VCH   VCD   VCA   GBH   GBD   GBA  \\\n",
       "0     1.67  3.30  4.50  1.73  3.50  5.00  1.65  3.40  4.50  1.75  3.30  5.00   \n",
       "1     2.62  3.20  2.30  2.75  3.20  2.60  2.90  3.20  2.25  2.75  3.20  2.50   \n",
       "2     3.30  3.25  1.95  4.00  3.50  1.90  3.25  3.25  2.00  3.50  3.20  2.10   \n",
       "3     7.00  3.75  1.40  6.50  3.75  1.57  7.00  3.75  1.45  6.50  3.75  1.53   \n",
       "4     2.75  3.20  2.25  2.90  3.50  2.30  2.70  3.10  2.40  2.75  3.25  2.45   \n",
       "...    ...   ...   ...   ...   ...   ...   ...   ...   ...   ...   ...   ...   \n",
       "3035  1.62  3.30  7.00   NaN   NaN   NaN  1.57  4.00  7.00   NaN   NaN   NaN   \n",
       "3036  2.38  3.10  3.10   NaN   NaN   NaN  2.30  3.40  3.40   NaN   NaN   NaN   \n",
       "3037  1.57  3.50  7.00   NaN   NaN   NaN  1.55  4.20  7.00   NaN   NaN   NaN   \n",
       "3038  2.40  3.10  3.10   NaN   NaN   NaN  2.30  3.40  3.30   NaN   NaN   NaN   \n",
       "3039  2.20  3.40  3.20   NaN   NaN   NaN  2.20  3.60  3.50   NaN   NaN   NaN   \n",
       "\n",
       "       BSH   BSD   BSA  \n",
       "0     1.67  3.40  5.00  \n",
       "1     2.80  3.25  2.30  \n",
       "2     3.25  3.25  2.10  \n",
       "3     5.50  3.75  1.53  \n",
       "4     2.70  3.25  2.38  \n",
       "...    ...   ...   ...  \n",
       "3035   NaN   NaN   NaN  \n",
       "3036   NaN   NaN   NaN  \n",
       "3037   NaN   NaN   NaN  \n",
       "3038   NaN   NaN   NaN  \n",
       "3039   NaN   NaN   NaN  \n",
       "\n",
       "[3040 rows x 115 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', None)\n",
    "dbsql(\"select * from match where league_id = 21518\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KRC Genk</td>\n",
       "      <td>Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SV Zulte-Waregem</td>\n",
       "      <td>Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KSV Cercle Brugge</td>\n",
       "      <td>Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>KAA Gent</td>\n",
       "      <td>Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FCV Dender EH</td>\n",
       "      <td>Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>FC St. Gallen</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>FC Thun</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>Servette FC</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>FC Lausanne-Sports</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>Lugano</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>296 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   team      country\n",
       "0              KRC Genk      Belgium\n",
       "1      SV Zulte-Waregem      Belgium\n",
       "2     KSV Cercle Brugge      Belgium\n",
       "3              KAA Gent      Belgium\n",
       "4         FCV Dender EH      Belgium\n",
       "..                  ...          ...\n",
       "291       FC St. Gallen  Switzerland\n",
       "292             FC Thun  Switzerland\n",
       "293         Servette FC  Switzerland\n",
       "294  FC Lausanne-Sports  Switzerland\n",
       "295              Lugano  Switzerland\n",
       "\n",
       "[296 rows x 2 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a list of teams by country\n",
    "teams_by_country_df = dbsql(\"\"\"select distinct h.team_long_name as team,\n",
    "                            c.name as country\n",
    "      from match m\n",
    "      left join country as c on m.country_id = c.id\n",
    "      left join league on league.id = m.league_id\n",
    "      left join team as h on h.team_api_id = m.home_team_api_id\n",
    "      left join team as a on a.team_api_id = m.away_team_api_id\"\"\")\n",
    "teams_by_country_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "t_by_c = teams_by_country_df.groupby('country').agg(lambda x:x.tolist()).to_dict('index')\n",
    "# teams_by_country_df.set_index('country').to_dict('index')"
   ]
  }
 ],
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