sports-prediction

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

sports betting toolbox to predict soccer matchs with betting model

sports prediction market scanner: pull feeds, price markets, replay portfolio history, and emit live signals, sports prediction market sports prediction market sports prediction market

Self-hosted World Cup 2026 prediction pool

2026 FIFA World Cup predictor — single-file HTML, 48 teams, shareable poster

Deep ensemble EPL match prediction engine — 13 base learners, Dixon-Coles statistical model, 376+ engineered features, 8 data sources, NLP sentiment analysis. 60.2% accuracy, outperforms market odds.

End-to-end FIFA World Cup 2026 prediction engine built with Python, Pandas, XGBoost, and ELO ratings. Analyzes historical international matches, team form, goals statistics, and head-to-head records to simulate and predict the 2026 World Cup.

AI-powered FIFA World Cup 2026 prediction market. Explainable win probabilities, scorelines, group standings, and model track record.

Gradient Boosting model predicting the 2026 Miami GP winner using FastF1 data from 2022–2026, with rolling driver/team form features.

A transparent Codex skill/plugin for structured sports match prediction reports, team form analysis, odds context, and uncertainty-aware forecasts.

Experiment in rapid iterative model development - Monte Carlo basketball predictions

⚡ Realistic cricket match score prediction system using machine learning & Streamlit. Predicts final score, upcoming overs graph & more.

Elo rating engine, Monte Carlo tournament simulator, and calibration toolkit for any sport

XGB + Elo prior win probability model and Kelly-sized trading strategy for WNBA money-line markets on Kalshi

2026 FIFA World Cup match predictor · Elo + XGBoost + Davidson ensemble with LOTO backtest and live online updates · 2026 世界杯胜平负预测器

Random Forest model predicting the 2025 Monaco GP winner trained on historical Monaco race data from Kaggle.

A Python-based machine learning tool that predicts MLB game scores and winners using historical Retrosheet data

Premier League match outcome prediction — feature engineering (Elo, EMA, Pi ratings) and a hybrid GRU+MLP neural network. UCL COMP0036 coursework.

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。