There are 42 repositories under betting topic.
Sports betting assistant (with interface) which optimizes earnings regarding odds and offers
A package containing the essential math required for sports betting and gambling.
Automated bot that identifies live sports arbitrage opportunities across FanDuel, DraftKings, and William Hill (Caesars).
flūmine - Betting trading framework
Python script to scrape Bet365 odds using Selenium.
Predicting soccer matches outcomes with machine learning as time series.
Bot bet Freebitcoin
Surebet is Python library for easily calculate betting odds, arbritrage betting opportunities and calculate value bet sizes
R Package for Sports betting
次元期权应征面试题范例。
🏈 💶 Sport surebet finder bot
⚽🏀 Betting site. App allows you to bet on sports events and compete with friends
Convert Betting Odds to Probabilities More Accurately and Efficiently than Shin and Power Methods
Verifiable/deterministic fair tickets generation for lotteries, raffles and gambling games. :rhinoceros: :four_leaf_clover: :spades: :game_die:
Provably fair implementation done in javascript.
VitonBet is an Android betting application that allows users to place bets on eSports events and to gamble on user created events. Casino mode also available to gamble and sending cash to other users available too.
:page_with_curl: Scrape football data from Bet365
A tool to place bets on www.kicktipp.de automatically
A python script that scans various football betting sites to find what are called surebets in jargon.
Analyze sports betting based on historical statistics and current odds
A curated list of awesome esport betting sites – live, statistics and other resources.
[NO LONGER ACTIVE] Arbitrage opportunities for the prediction market PredictIt
Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of 66% on approx. 125000 matches
A .NET Standard library to calculate odds or outcomes of parimutuel bets using a totalizator.
A bot that provides soccer predictions using Poisson regression