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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.

Football Quant - 双变量泊松+Elo+贝叶斯凯利足球量化分析框架

R codes to implement two examples for the mode and importance sampling estimation methods.

AI-assisted football analytics and probability research platform for World Cup 2026. Analytics only, not betting advice, 18+ only.

Bayesian Poisson and Monte Carlo simulation for an Arsenal vs PSG final.

Enjoyment-first 2026 World Cup daily digest: LLM tactical briefs x Dixon-Coles x market baseline, pushed to Telegram nightly

Country-level determinants of the Olympic success.

Monte Carlo Poisson model for soccer match outcome probabilities, scoreline simulation, and bookmaker benchmark evaluation

Full-stack FIFA World Cup 2026 predictor — Dixon-Coles + EA FC 26 player ratings + real fatigue data, 100k parallel Monte-Carlo simulations of the official 48-team bracket, with a live-results mode that re-simulates as the real tournament unfolds.

Material for Lab 12 for the course

Three studies using R: 1️⃣ Child malformation risk (logit/probit models) linked to maternal alcohol. 2️⃣ Student awards (Poisson) driven by academic programs & math scores. 3️⃣ Soccer arrests (Negative Binomial) reduced by social investment. Code includes EDA, model comparisons (AIC/BIC), and regression workflows.

Expected-points World Cup score-prediction optimiser using market-implied probabilities and historical validation.