Quantum Football – Scientific football analytics lab using probabilistic models

Summary: Quantum Football is a Python and Streamlit-based analytics engine that simulates football match outcomes using Poisson distribution, Dixon-Coles models, and dynamic Elo ratings. It provides real-time confidence intervals, self-validating Brier Scores, and transparent model documentation to support research into football probabilities.

What it does

It simulates football matches with an ensemble of statistical models and calculates uncertainty metrics like confidence intervals and error rates to quantify prediction accuracy.

Who it's for

Researchers and data scientists interested in transparent, mathematical analysis of football outcomes rather than betting predictions.

Why it matters

It addresses the lack of transparency and quantifiable error in football prediction tools by offering a research-grade, self-validating analytics platform.