Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of 66% on approx. 125000 matches

A bunch of betting simulations using Monte Carlo method. Useful for showing how your bankroll will collapse (or not) over time by betting.

An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.

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

Data-driven, sports wagering model for MMA (mixed-martial-arts) contests.

finding patterns in up down sequences

This repository aims to provide robust NFL Betting Models based on play by play data.

NBA Score Prediction

Tennis Probabilities Calculator based on the Common Opponents Theory

This project's about analyzing tennis stats and features to determine which are important and relevant to predict a match-winner.

Daily football/soccer lineup scraper and analyser for card betting.

This repository contains my efforts in successfully building a profitable horse betting algorithm for the indoor track in the popular video game: Grand Theft Auto Online.

A Python-based tool for recognizing patterns in CSV data, originally created for a fishing game.

NFL Betting & Fantasy Tool

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.

Sports betting is the activity of predicting sports results and placing a wager on the outcome.