A high-performance algorithmic trading platform and event-driven backtester

NBA sports betting using machine learning

Sports betting assistant (with interface) which optimizes earnings regarding odds and offers

Collection of sports betting AI tools.

A package containing the essential math required for sports betting and gambling.

Python script to scrape Bet365 odds using Selenium.

goto_conversion and efficient_shin_conversion (faster Shin's method)

Scrape Draftkings Sportsbook using Python's Beautiful Soup library and DraftKings' API.

sportmonks is a Python 3.5+ package that implements SportMonks API.

Model created for FiveThirtyEight Forecast Competition

A sport predictions full-stack application that generates betting recommendations & data on Prize Picks using linear regression.

Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts

A simple environment where testing betting strategy on real odds

A bot that provides soccer predictions using Poisson regression

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

Using AI to predict the outcomes of NBA games.

"I'd walk through hell in a gasoline suit to play baseball." - Pete Rose (Charlie Hustle). Python scripts to pull MLB Gameday and stats data, build models, predict outcomes, make plays.

Using FiveThirtyEight, Masseyratings, Sportline data on NFL winners combined with SCIKIT machine learning to predict the winner of a NFL GAME

A repo to scrape and import Betfair data to SQL Server

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