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

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.

AIFootballPredictions is an ML-based system to predict if a football match will have over 2.5 goals. Using historical data from top European leagues (Serie A, EPL, Bundesliga, La Liga, Ligue 1), it employs advanced feature engineering and model training techniques to provide accurate predictions. Perfect for sports analytics enthusiasts.

Experiment in rapid iterative model development - Monte Carlo basketball predictions

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

🏆 Modern sports prediction platform built with Next.js, React & GraphQL. Free-to-play football forecasting with real cash prizes. PWA-ready with secure authentication.

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

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

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

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

A comprehensive GraphQL-based backend API for sports prediction and fantasy sports platforms. Built with Node.js, Apollo Server, and MongoDB for real-time sports data integration and prediction pooling systems.

Machine learning pipeline and web app for predicting NCAA tournament matchups using 23 seasons of pre-tournament team data.

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

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

A modern, customizable sports prediction game — mix any sports, make your picks, and compete with friends to crown your season champion.

This is a tennis match prediction model using random forest

Machine learning NBA game predictor using a Ridge Classifier trained on historical box score data (2016-2025). Features a Streamlit dashboard with live prediction tracking.

ML powered UFC fight prediction app. Python web scraping + XGBoost classifier + Streamlit UI with radar charts and tale of the tape.

Real-time IPL match win probability predictor using logistic regression. Interactive Streamlit dashboard with 85%+ accuracy, analyzes current match state, required run rates, and provides instant predictions for all 8 major IPL teams.