luke-lite / NBA-Prediction-ModelingLinks
Using machine learning to predict the outcome of NBA games.
☆34Updated last year
Alternatives and similar repositories for NBA-Prediction-Modeling
Users that are interested in NBA-Prediction-Modeling are comparing it to the libraries listed below
Sorting:
- Using AI to predict the outcomes of NBA games.☆64Updated 9 months ago
- Archive of NBA Elo data (updated from FiveThirtyEight version)☆14Updated 6 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
- Scrape Draftkings Sportsbook using Python's Beautiful Soup library and DraftKings' API.☆46Updated last year
- Scrapes PP for latest props and stores data.☆17Updated last year
- Goals Above Replacement and Elo Rating data for NHL history.☆23Updated 6 months ago
- A package to scrape and parse NBA, WNBA and G-League play-by-play data.☆116Updated last year
- An R Shiny app to help make betting decisions for FanDuel player props☆21Updated 3 years ago
- Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts☆41Updated last year
- A scraper to scrape the NBA API and compile a play by play file☆74Updated 2 years ago
- 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
- Betting on the NBA with data☆147Updated 9 months ago
- sportsdataverse python package☆91Updated last month
- NBA Three-Point Model for Sports Betting☆19Updated 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
- Python API for stats.nba.com with a focus on NBA and WNBA applications☆117Updated 11 months ago
- Predicts Daily NBA Games Using a Logistic Regression Model☆133Updated 2 years ago
- An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metr…☆37Updated last year
- An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB)…☆27Updated 2 years ago
- A python app designed to scrape and process sports betting data directly from oddsportal.com 🎯☆76Updated last month
- A set of NBA optimizers and GPP tools to help you win daily fantasy sports☆16Updated 11 months ago
- Datasets and Scraping Functions for NFL Data☆34Updated last year
- Python code samples for The Odds API☆89Updated 4 months ago
- A package to work with NBA player tracking stats using the NBA Stats API☆42Updated 2 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 2 weeks ago
- A python module for scraping static and dynamic content from Basketball Reference.☆280Updated last year
- NBA play-by-play data from stats.nba.com, data.nba.com, pbpstats.com, and also shots information with season 1996/97☆128Updated 2 weeks ago
- All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.☆67Updated 7 months ago
- Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Ki…☆262Updated 2 years ago