Open-source statistical model (Elo + Dixon-Coles + Monte Carlo) for the 2026 FIFA World Cup. Live: https://cup26matches.com
Models for estimating football (soccer) team-strength
2026 FIFA World Cup prediction research system — 7-component fusion (Dixon-Coles, Elo, Pi-Rating, Weibull, Market, Stacking, Conformal), auditable walk-forward backtesting, bilingual reports
My aim to develop a model that predicts the scores of football matches. My code (python) implements various machine learning algorithms to analyze team and player statistics, as well as historical match data to make informed predictions.
竞彩足球智能预测 Skill：Dixon-Coles、赔率价值、赛前情报、回测与离线 HTML 报告
A stats model (pkg) for the NHL
⚽ Falsifiable, self-calibrating real-time probability engine for World Cup 2026 · Dixon-Coles double-Poisson + Bayesian credible intervals + in-play live W/D/L · personal educational open-source (not betting advice)
World Cup predictions based on a Bayesian Dixon–Coles model, integrating Elo priors, dual GAS dynamic strength estimation, and a gradient-boosting ensemble implemented via log pooling. The system covers 49,000 Kaggle international matches and 336 teams, and is served via FastAPI.
Reproducible backtest of the Elo + Poisson model behind footytips.io — all 22 World Cups (1930-2022), 964 matches, 56.6% W/D/L hit rate.
Pipeline de Machine Learning para previsão de resultados, gols e mercados de apostas do Campeonato Brasileiro Série A. XGBoost + Poisson Bivariado + Calibração Isotônica.
2026 FIFA World Cup match predictor — Dixon-Coles + Elo model with live backtesting. 基于Dixon-Coles双泊松与动态Elo的世界杯逐场胜平负预测模型,含三届回测验证与实时滚动预测看板。
End-to-end ML pipeline predicting 2026 FIFA World Cup outcomes using Dixon-Coles, Elo ratings, and XGBoost — 56.5% outcome accuracy on 69 live matches
Statistical modelling for predicting football outcomes: an R implementation of the Dixon-Coles model and applications to the 2021-2022 Serie A championship
A predictive simulation built for the newly expanded 48 team FIFA 2026 World Cup using Dixon-Coles and Poission-Distribution..
A dashboard engine that considers every probability. AI only cites, explains, and researches — it never alters a number. Every forecast is finalized before the game begins and evaluated after the full time.
Held-out FIFA World Cup prediction model: Dixon-Coles goals, market-value prior, Elo baseline, daily-locked picks, Monte Carlo title odds.
International football match predictor — XGBoost + Poisson-DixonColes + ensemble, Streamlit dashboard, tournament simulator
Chat with a World Cup 2026 predictor inside Claude Desktop - a zero-dependency MCP server wrapping a Dixon-Coles + Monte-Carlo engine with live ESPN scores.
An independent, verification-first forecasting system for the 2026 World Cup. Built by directing an AI coding agent under a written protocol, with the protocol, the session log, and two rejected experiments committed alongside the code.
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