Sports betting assistant (with interface) which optimizes earnings regarding odds and offers
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Updated
Dec 21, 2023 - Python
Sports betting assistant (with interface) which optimizes earnings regarding odds and offers
A package containing the essential math required for sports betting and gambling.
A python package for scraping oddsportal.com
Python implementation of Shin's method for calculating implied probabilities from bookmaker odds
Gambling Odds To Outcome probabilities Conversion (goto_conversion)
A sports betting environment for OpenAI Gym.
An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.
TheSpread.io API - Vegas Sports Betting Odds Aggregation API
Detect the most trustworthy tomorrow's English Premier League game (if any), based on historical betting odds data and the given odds for the upcoming matches.
Public Documentation
Compare PredictIt shares, betting odds, 538 models, Economist models, and polling in the 2020 U.S. Presidential election.
A React.js sports betting website where users can place bets and track their earnings.
Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts
This project allows you to compare betting odds from different sportsbooks for various sports. It utilizes the-odds-api.com to fetch the latest odds data and helps you identify the best odds available.
Using publicly available data to inform football betting.
This repo features a betting arbitrage finder that uses The Odds API to fetch current betting odds. It enables users to identify profitable arbitrage opportunities by comparing odds from different bookmakers and exchanges. It is for entertainment and educational purposes only
Training a neural net to predict betting odds for a baseball game at any stage in the game.
Live score and statistics from various providers and instant goal alerts
Social platform for sports fans and sports betters. Made with Next.js Typescript, Prisma, Mongodb, SCSS, and a few ESPN apis
This project aims to predict the inplay betting odds for football matches using deep learning models. The models take the historical odds data from the Betfair exchange as input and predict the last traded prices for the next time interval.
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