There are 1 repository under betting-models topic.
Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of 66% on approx. 125000 matches
凯利标准计数|机数造物。
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 %
A bunch of betting simulations using Monte Carlo method. Useful for showing how your bankroll will collapse (or not) over time by betting.
Scrapes Betfair price data (BSP, WAP etc) for Australian horse racing
finding patterns in up down sequences
A python bot I wrote to try and predict the next multiplier for the 'Aviator' betting game. All code was tested in VS2022 using Python 3.9.
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.
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.
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.
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.
NFL Betting & Fantasy Tool