Activate venv

• activate source venv/bin/activate
• deactivate deactivate

Install Packages

• pip install -r requirements.txt

Fetching past games data

• python3 run_fetch.py --season <year>

Training the model

• python model/train_model.py

Running prediction

Flask server

• Run server by python app.py
• curl prediction example

curl -X POST http://localhost:5000/predict \
  -H "Content-Type: application/json" \
  -d '{
        "home_team": "Arsenal",
        "away_team": "Wolverhampton",
        "date": "2026-08-17T18:30"
      }'

termianal

• python predict_match.py --home_team "Arsenal" --away_team "Wolverhampton" --date 2026-09-09T23:00

Result should be something like:

Probabilities:
🤝 Draw:        25.18%
🏠 Home win:   33.19%
🚗 Away win:       41.64%

Adding deps to requirements.txt

• pip freeze > requirements.txt