RasmusRynell / Predicting-NHLLinks
The project explores the idea of using different machine learning techniques to determine different stats in NHL games.
☆14Updated 2 years ago
Alternatives and similar repositories for Predicting-NHL
Users that are interested in Predicting-NHL are comparing it to the libraries listed below
Sorting:
- Machine learning model that predicts the outcome of NHL and NBA games, determining the probability of teams winning and point spreads.☆12Updated 4 months ago
- Goals Above Replacement and Elo Rating data for NHL history.☆23Updated 4 months ago
- Archive of NBA Elo data (updated from FiveThirtyEight version)☆13Updated 4 months ago
- Training a neural net to predict betting odds for a baseball game at any stage in the game.☆11Updated 2 years ago
- Project to Showcase Transformers Use for Sports Tracking Data☆16Updated 10 months ago
- An R package to quickly obtain clean and tidy college football play by play data☆85Updated this week
- R Package for Sports betting☆73Updated 2 years ago
- NBA Three-Point Model for Sports Betting☆18Updated 2 years ago
- ☆29Updated 10 months ago
- Public NFL data and code☆12Updated 4 months ago
- All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.☆67Updated 5 months ago
- Tutorials for some common NBA stats questions in both python and R☆96Updated 2 years ago
- 1st Annual Best Ball Data Bowl!☆24Updated 2 years ago
- Predicts Daily NBA Games Using a Logistic Regression Model☆131Updated 2 years ago
- An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB)…☆28Updated 2 years ago
- Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Ki…☆261Updated 2 years ago
- A package to parse NBA play by play pandas dataframes and calculate statistics☆16Updated 2 years ago
- Using machine learning to predict the outcome of NBA games.☆30Updated last year
- sportsdataverse python package☆90Updated this week
- ☆46Updated 2 years ago
- Contains the code used to create an expected goal model for the National Hockey League (NHL).☆20Updated 7 years ago
- A Simple Simulator for estimating NBA game outcomes☆34Updated 6 years ago
- Combine classification algorithms to predict the winner of each game☆29Updated 5 years ago
- A set of NFL optimizers and GPP tools to help you win daily fantasy sports☆38Updated 10 months ago
- Code examples for using the pbpstats.com API☆18Updated 3 years ago
- Using regression models to inform NBA prop betting strategy.☆12Updated 3 years ago
- A scraper to scrape the NBA API and compile a play by play file☆74Updated 2 years ago
- Explorations and modeling of NBA data.☆18Updated 4 years ago
- Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts☆38Updated last year
- An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metr…☆36Updated last year