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 %
Scrapes Betfair price data (BSP, WAP etc) for Australian horse racing
Data-driven, sports wagering model for MMA (mixed-martial-arts) contests.
This repository aims to provide robust NFL Betting Models based on play by play data.
Tennis Probabilities Calculator based on the Common Opponents Theory
Example Markov Chain model for predicting the results of a sports game given historic probability
Daily football/soccer lineup scraper and analyser for card betting.
A Python-based tool for recognizing patterns in CSV data, originally created for a fishing game.
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.
UFC fight prediction tool built with TensorFlow and Python, UI built with Vue and Tailwind. Uses machine learning to analyze fighter stats and predict match outcomes.
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