Launching today
Quantum Football

Quantum Football

Scientific football analytics lab. No betting, just math.

2 followers

Quantum Football is a research-grade analytics engine built with Python & Streamlit. Unlike betting tools, it uses an ensemble of Poisson distribution, Dixon-Coles models, and dynamic Elo ratings to simulate match outcomes. Features include real-time Confidence Intervals, self-validating Brier Scores, and transparent Model Cards. It helps researchers understand the mathematics behind the beautiful game.
Quantum Football gallery image
Quantum Football gallery image
Quantum Football gallery image
Free
Launch Team / Built With
Checkmarx Developer Assist for AI IDEs
Security linter for vibe coding: fix vulns as you build
Promoted

What do you think? …

muratLola
Maker
📌
Hi Product Hunt! 👋 I'm Murat, a student passionate about visual communication and data science. I built Quantum Football because I was tired of "black box" prediction tools that give random tips. I wanted to build a transparent laboratory to understand the probability behind football. What makes it special? 🧬 Scientific: Uses Poisson & Dixon-Coles models, not gut feelings. 🛡️ Honest: It calculates its own error rate (Brier Score) after every match. 📊 Uncertainty: It gives you "Confidence Intervals" instead of exact scores. This is strictly a research project, not a betting tool. I'd love to hear your feedback on the "Simulation" features! ⚽️`
muratLola

👋 A closer look at the English Interface!

As a Visual Communication student, my main challenge was to make complex statistical models look simple and readable.

This screenshot (Barcelona vs København analysis) shows how I visualized the Poisson Distribution curves for Expected Goals (xG). Instead of just giving a flat prediction, the interface visualizes the entire probability range and confidence intervals.

My goal is to create a dashboard that speaks 'Data', not 'Betting'. I’d love to hear your feedback on the data visualization! 📊⚽️