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 5 months ago
- Goals Above Replacement and Elo Rating data for NHL history.☆23Updated 5 months ago
- Code examples for using the pbpstats.com API☆18Updated 3 years ago
- Archive of NBA Elo data (updated from FiveThirtyEight version)☆14Updated 5 months ago
- All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.☆67Updated 6 months ago
- Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts☆39Updated last year
- Tutorials for some common NBA stats questions in both python and R☆98Updated 3 years ago
- Explorations and modeling of NBA data.☆18Updated 5 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
- Contains the code used to create an expected goal model for the National Hockey League (NHL).☆19Updated 7 years ago
- A scraper to scrape the NBA API and compile a play by play file☆74Updated 2 years ago
- NBA Three-Point Model for Sports Betting☆19Updated 2 years ago
- Model created for FiveThirtyEight Forecast Competition☆32Updated 3 years ago
- Live Pt-by-Pt Prediction of ATP Tennis Win Probability☆10Updated 7 years ago
- R Package for Sports betting☆74Updated 2 years ago
- sportsdataverse python package☆89Updated last month
- ☆46Updated 2 years ago
- Training a neural net to predict betting odds for a baseball game at any stage in the game.☆12Updated 2 years ago
- Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Ki…☆262Updated 2 years ago
- Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.☆178Updated last year
- 1st Annual Best Ball Data Bowl!☆24Updated 2 years ago
- NFL data, analysis, viz, etc☆31Updated last month
- Public NFL data and code☆14Updated last month
- Player-tracking data from NFL Next Gen Stats Highlights.☆54Updated 3 years ago
- An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metr…☆37Updated last year
- Building a shot probability model from NBA shot chart data☆12Updated 5 years ago
- A Simple Simulator for estimating NBA game outcomes☆34Updated 6 years ago
- An R package to quickly obtain clean and tidy college football play by play data☆87Updated 3 weeks ago
- NBA player prediction model for use in daily fantasy sports☆15Updated 5 years ago
- Lineup optimization for daily fantasy sports☆49Updated 3 years ago