European Soccer Data Analysis Using Python

UCSD-Edx Python for Data Science MicroMasters Project

Motivation:

• Gain valuable insight on which players to pick for a high scoring fantasy soccer team.
• Assist with the coaches' decisions on field placement for athletes, especially strikers.
• Provide information that will help teams strategically build a game plan for upcoming matches.

Research Questions:

1. Is there a correlation between high scoring soccer players and the amount of shot power they have?
2. What is the likelihood of either a right-footed or left-footed player scoring a goal based off of their current shot power?
3. Are there more right foot players than left foot players? Does this affect the result of question 2?

Requirements

Jupyter Notebook may be used with any OS. Ensure you have pip installed the latest versions of the following:

• Pandas
• Numpy
• Seaborn
• Scipy
• Sqlite3
• Matplotlib