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.

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

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.

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

⚡ 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

Experiment in rapid iterative model development - Monte Carlo basketball predictions

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

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

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。

⚽ ML desktop app predicting football match outcomes (65% accuracy) using XGBoost, LightGBM & Random Forest ensemble — Python, scikit-learn, SQLite

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

ML predictions for a family F1 picks game - predicting top-3 finishers for qualifying, race, and sprint sessions using LightGBM LambdaRank