⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀
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Updated
Sep 13, 2026 - Python
⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀
AI-powered football prediction engine using probabilistic modeling, Poisson goal simulation, and tactical analysis inspired by Opta & FiveThirtyEight. Built for World Cup 2026 match forecasting, simulation, and analytics.
A multi-agent system for sports match value analysis: an independent Elo power model vs. market odds detects mispriced outcomes (positive-EV value), with red/blue risk-control debate, backtesting, and multimodal input.
「2026世界杯预测」数据驱动的足球 AI 预测平台 · 2026 世界杯 ELO+Poisson+Monte Carlo · DeepSeek 深度研报
World Cup Predictor - Ben Jordan & Jonathan Glanfield
AI-assisted football analytics and probability research platform for World Cup 2026. Analytics only, not betting advice, 18+ only.
Football Quant - 双变量泊松+Elo+贝叶斯凯利足球量化分析框架
Deterministic Dixon-Coles score predictor that won a 27-person FIFA World Cup 2026 prediction pool, rank 1/27.
R codes to implement two examples for the mode and importance sampling estimation methods.
2026 FIFA World Cup AI simulator with Poisson xG, Monte Carlo forecasting, and Streamlit dashboard.
Quantitative prediction engine for the 2026 FIFA World Cup - ELO ratings, Dixon-Coles Poisson model, Bayesian live updates, and Kelly Criterion edge analysis.
Modelo de expected goals con ajuste por rival para predecir la final del Mundial 2026 (España vs Argentina). Poisson log-lineal sobre datos de xG
Enjoyment-first 2026 World Cup daily digest: LLM tactical briefs x Dixon-Coles x market baseline, pushed to Telegram nightly
Reproducible decision-support workflow for monitoring actual versus expected football performance using probabilistic expected-points modeling.
Local-first football analytics, transparent statistical models, and auditable paper tracking. Developed by @mehiETH.
Expected-points World Cup score-prediction optimiser using market-implied probabilities and historical validation.
Country-level determinants of the Olympic success.
Monte Carlo Poisson model for soccer match outcome probabilities, scoreline simulation, and bookmaker benchmark evaluation
Material for Lab 12 for the course
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