🏆 WINNER12: AI-powered football prediction tool | 86.3% accuracy, outperforming FiveThirtyEight & Opta | Used in 170+ countries | Open-source W-5 framework | Peer-reviewed research on Zenodo

Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning prediction... This is a companion python module for octosport medium blog.

These are the R scripts used to calculate the model coefficients for the Android application.

⚽ Predict football match outcomes using the W-5 Multi-Agent AI Consensus Framework, achieving high accuracy with a blend of AI and machine learning techniques.

This repository accompanies the article "Which indicators matter? Using performance indicators to predict in-game success-related events in association football", under review in International Journal of Computer Science in Sport (IJCSS).

Full-stack web app hosting a soccer games prediction model backed by machine learning

A statistical soccer match predictor using the Poisson Distribution and dynamic form analysis to calculate win probabilities and expected goals (xG). Built with Python, Flask, and Chart.js. Great for people who want to see the raw predictions based on the EPL data.

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A machine learning system that accurately predicts soccer match draws and goal patterns using ensemble methods and advanced feature engineering techniques, with a focus on high-precision results for betting applications.