bendominguez0111 / nba-modelsLinks
NBA Three-Point Model for Sports Betting
☆19Updated 2 years ago
Alternatives and similar repositories for nba-models
Users that are interested in nba-models are comparing it to the libraries listed below
Sorting:
- Using AI to predict the outcomes of NBA games.☆64Updated 9 months ago
- Goals Above Replacement and Elo Rating data for NHL history.☆23Updated 6 months ago
- An R Shiny app to help make betting decisions for FanDuel player props☆21Updated 2 years ago
- The project explores the idea of using different machine learning techniques to determine different stats in NHL games.☆14Updated 2 years ago
- Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts☆41Updated last year
- Machine learning model that predicts the outcome of NHL and NBA games, determining the probability of teams winning and point spreads.☆12Updated 6 months ago
- Code examples for using the pbpstats.com API☆18Updated 3 years ago
- Archive of NBA Elo data (updated from FiveThirtyEight version)☆14Updated 6 months ago
- Generate Pitching Summary using MLB Statcast Data☆26Updated last year
- A scraper to scrape the NBA API and compile a play by play file☆74Updated 2 years ago
- Predicts Daily NBA Games Using a Logistic Regression Model☆133Updated 2 years ago
- All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.☆67Updated 7 months ago
- A Simple Simulator for estimating NBA game outcomes☆34Updated 6 years ago
- Tutorials for processing nba data☆181Updated last year
- R Package for Sports betting☆74Updated 2 years ago
- 1st Annual Best Ball Data Bowl!☆24Updated 2 years ago
- sportsdataverse python package☆91Updated last month
- ☆49Updated 4 years ago
- Building a shot probability model from NBA shot chart data☆12Updated 5 years ago
- Python API for stats.nba.com with a focus on NBA and WNBA applications☆117Updated 11 months ago
- Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.☆179Updated last year
- Using regression models to inform NBA prop betting strategy.☆12Updated 3 years ago
- An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB)…☆27Updated 2 years ago
- Various NBA/WNBA analytics projects☆17Updated 5 months ago
- Using machine learning to predict the outcome of NBA games.☆34Updated last year
- NBA game prediction model☆17Updated 5 years ago
- Explorations and modeling of NBA data.☆18Updated 5 years ago
- Python tools for Euroleague data ETL.☆10Updated 9 months ago
- NBA player prediction model for use in daily fantasy sports☆15Updated 5 years ago
- A set of NBA optimizers and GPP tools to help you win daily fantasy sports☆16Updated 11 months ago