Open-source statistical model (Elo + Dixon-Coles + Monte Carlo) for the 2026 FIFA World Cup — now running year-round on club football at https://theopenmodel.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.
A quant forecasting system + live API bot for Jump Trading's Probability Cup 2026 — 89th/4,013 (top ~2%). Brier-optimal probabilities, de-vigged odds, Dixon-Coles, calibration loop, and an honest post-mortem.
Explainable AI platform predicting FIFA World Cup 2026 — match odds, scorelines, live win probabilities, Monte-Carlo tournament simulation, bracket game & leaderboard. Next.js + FastAPI + Python ML.
Held-out FIFA World Cup prediction model: Dixon-Coles goals, market-value prior, Elo baseline, daily-locked picks, Monte Carlo title odds.
Pipeline de Machine Learning para previsão de resultados, gols e mercados de apostas do Campeonato Brasileiro Série A. XGBoost + Poisson Bivariado + Calibração Isotônica.
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.
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
A predictive simulation built for the newly expanded 48 team FIFA 2026 World Cup using Dixon-Coles and Poission-Distribution..
Statistical modelling for predicting football outcomes: an R implementation of the Dixon-Coles model and applications to the 2021-2022 Serie A championship
International football match predictor — XGBoost + Poisson-DixonColes + ensemble, Streamlit dashboard, tournament simulator
Poisson/Dixon-Coles match prediction and Kicktipp scoring, backtested over 7 tournaments
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