⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀
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Updated
Aug 21, 2026 - Python
⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀
Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of 66% on approx. 125000 matches
An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.
A bunch of betting simulations using Monte Carlo method. Useful for showing how your bankroll will collapse (or not) over time by betting.
Tools to scrape data from the riot API and calculate stats used for eSports betting, such as first blood %
凯利标准计数|机数造物。
Scrapes Betfair price data (BSP, WAP etc) for Australian horse racing
This repository aims to provide robust NFL Betting Models based on play by play data.
Data-driven, sports wagering model for MMA (mixed-martial-arts) contests.
The Iceberg Bot is a sports betting bot for the SX Bet exchange. The bot allows users to programmatically create and manage dynamic one-sided limit orders, while constantly monitoring the orderbook to keep your offer at the desired edge above the current market odds.
Daily football/soccer lineup scraper and analyser for card betting.
Example Markov Chain model for predicting the results of a sports game given historic probability
This project's about analyzing tennis stats and features to determine which are important and relevant to predict a match-winner.
2026 World Cup predictor: Dixon-Coles + XGBoost + Neural Net + Hierarchical Bayesian (Stan/brms), stacked via meta-learner. R API (plumber) + single-file HTML dashboard with live market odds. Walk-forward, temporal split, isotonic calibration, stacking beats simple average.
La Quiniela is the name of a Spanish game of chance, managed by Loterías y Apuestas del Estado, which is based on the First and Second Divisions of football.
A Python-based tool for recognizing patterns in CSV data, originally created for a fishing game.
Data-driven, sports wagering model for MMA (mixed-martial-arts) contests.
End-to-end EPL model comparing XGBoost predictions with bookmaker odds, including calibration, backtests, and a Streamlit dashboard.
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