all_leagues-_prediction is an open-source football (soccer) prediction platform designed for fans, data scientists, and developers who want to analyze matches and forecast outcomes across a variety of football leagues. This project leverages Python and modern web technologies to deliver reproducible, customizable football predictions and analytics.

• Predict outcomes for football matches across multiple leagues
• Built-in data ingestion and preprocessing tools
• Model training and evaluation (with support for custom models)
• Interactive visualizations and reporting
• Extensible for custom features, additional leagues, and new prediction algorithms
• Community-driven and open for contributions

• Python 3.8+ (core backend, modeling, and data processing)
• Node.js & npm (for front-end components, if any)
• (See requirements.txt and package.json for a full list)

1. Fork this repository using the "Fork" button at the top right.

2. Clone your fork:

   git clone https://github.com/YOUR-USERNAME/all_leagues-_prediction.git
   cd all_leagues-_prediction

3. Set up the backend:

   python -m venv venv
   source venv/bin/activate  # Windows: venv\Scripts\activate
   pip install -r requirements.txt

4. Set up the frontend (if applicable):

   npm install

5. Environment setup:

   • Copy .env.example to .env and fill in required environment variables.

• Run the main application:

  python main.py

• Or follow project-specific instructions in the documentation for running web servers or notebooks.

We welcome all types of contributions—bug fixes, new features, documentation, and tests!
Please see CONTRIBUTING.md for details on how to get started.

Please note that this project is released with a Contributor Covenant Code of Conduct. By participating, you agree to abide by its terms to foster a welcoming and inclusive community.

• data/ — Datasets and data loaders
• models/ — Prediction models and training scripts
• notebooks/ — Jupyter notebooks for exploration and analysis
• frontend/ — (Optional) Front-end app for visualization
• main.py — Main entry point for running the backend service
• requirements.txt — Python dependencies

This project is open source and available under the MIT License.

• Inspired by football analytics and machine learning communities
• Thanks to all contributors and football fans!

Enjoy predicting football matches and contributing to the project!