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
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.
Tennis Probabilities Calculator based on the Common Opponents Theory
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.
This project's about analyzing tennis stats and features to determine which are important and relevant to predict a match-winner.
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.
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.
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