Based on last 5 years of UEFA Champions League group stage records, the machine learning model tried to predict the outcome of some teams participating in the League based on their performance in the Group Stage only.
The model predicted stage, which each team can reach in the season 2019-20. Simple Random Forest Classification Model is used in this project.
| Stage | Stage |
|---|---|
| Real Madrid | Round of 16 |
| Barcelona | Quarter Finals |
| Bayern Munich | Semi Finals |
| Tottenham Hotspur | Finals |
| Manchester City | Quarter Finals |
| Juventus | Quarter Finals |
| Atlético Madrid | Finals |
| Liverpool | Quarter Finals |
| Borussia Dortmund | Round of 16 |
| Chelsea | Quarter Finals |
| Paris Saint-Germain | Finals |
All the datasets used in this project were made manually (well, actually using web scraping) and, can be found here.
Data consists of Group Stage information from the past 5 years in UEFA Champions League, of some selected high-rated teams only. Datasets are from the seasons 2014-15, 2015-16, 2016-17, 2017-18 and 2018-19.
- Real Madrid
- FC Barcelona
- Bayern Munich
- Tottenham Hotspur
- Manchester City
- Juventus
- Atlético Madrid
- Liverpool
- Borussia Dortmund
- Chelsea
- Paris Saint-Germain
Standing of each of these teams in the past years were also collected and, converted into a number using the following table
| Stage | Integer Representation |
|---|---|
| Group Stage | 1 |
| Round of 16 | 2 |
| Quarter Finals | 3 |
| Semi Finals | 4 |
| Finals | 5 |
- Clone the repository
- Create a python virtual environment, run
python3 -m virtualenv venv && source venv/bin/activate - Install all the required dependencies, run
pip install -r requirement.txt - Input the details of whatever team you want to predict future for in
src/prediction.pyand, simply run the python scriptpython3 src/prediction.py. - Make sure you print the predictions or else you won't see the result of the model.