BettingIsCool / real_kelly-independent_concurrent_outcomes-
The generalised Kelly Criterion (a.k.a. The Real Kelly) for concurrent events.
☆12Updated 4 years ago
Related projects: ⓘ
- The generalised Kelly Criterion (a.k.a. The Real Kelly) for mutually exclusive outcomes☆17Updated 4 years ago
- A collection of R scripts for modelling sports.☆21Updated 7 months ago
- Application for generating college football score and win probability predictions using neural networks☆12Updated 6 years ago
- Goals Above Replacement and Elo Rating data for NHL history.☆20Updated 2 months ago
- Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts☆17Updated 2 months ago
- R package to scrape live sports betting odds☆56Updated 7 years ago
- ☆10Updated 4 years ago
- This code simulates NFL games in a play-by-play fashion☆21Updated last year
- Neural network that predicts the number of wins for a baseball team based on the importance of different statistical categories and their…☆11Updated 8 years ago
- Python implementation of Shin's method for calculating implied probabilities from bookmaker odds☆80Updated 2 weeks ago
- Scrape PGA Tour data for historical scores and finishes☆13Updated last year
- This model predicts and bets on every NBA game in a season.☆14Updated 4 years ago
- Sports Betting Tools☆12Updated 4 years ago
- ☆10Updated last year
- Tutorial for Betfair's NBA Datathon in March 2020☆9Updated 4 years ago
- Models for estimating football (soccer) team-strength☆35Updated 2 years ago
- ☆9Updated 4 years ago
- ☆12Updated 5 years ago
- Betting data and analytics.☆33Updated 3 years ago
- Machine Learning Predictor for NBA games that takes into account player stats, team stats.☆8Updated 6 years ago
- An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB)…☆20Updated last year
- R Package for Sports betting☆64Updated last year
- Code examples for using the pbpstats.com API☆11Updated 2 years ago
- A package to parse NBA play by play pandas dataframes and calculate statistics☆15Updated last year
- Model to Predict Over/Under Outcomes for the Upcoming NFL Season☆36Updated 5 years ago
- using probabilistic programming to build win probability model for NCAAM basketball☆16Updated 3 years ago
- Working through Basketball Data Science☆23Updated 4 years ago
- Reproduction of football models in Stan☆35Updated 3 years ago
- Backtesting team-strength models☆16Updated 3 months ago
- The project explores the idea of using different machine learning techniques to determine different stats in NHL games.☆10Updated last year