PredictiveFootball

My side project to create a predictive machine learning model to predict wins, draws, and losses and help me place good bets with an edge.

Football Edge — Starter Repo

This is a minimal scaffold for your pre‑match football prediction project.

Quickstart (VS Code + Conda)

1. Open in VS Code (File → Open Folder) and install extensions:
   • Python (ms-python.python), Jupyter, Pylance.
2. Create the environment (Terminal → New Terminal):

   conda env create -f environment.yml
   conda activate football-edge

3. Select the interpreter: VS Code Command Palette → Python: Select Interpreter → football-edge.
4. Prepare folders & sanity check:

   make prepare

5. (Later) Train & backtest:

   make train
   make backtest

6. (Later) Run the Streamlit app:

   make app

See config/config.yaml for basic settings.