treelover28 / nbaMatchPredictor_PROTOTYPE
This simple program predicts the result of an NBA match. Uses Monte-Carlo simulation to give the probability of each team winning the matchup.
☆7Updated 5 years ago
Alternatives and similar repositories for nbaMatchPredictor_PROTOTYPE:
Users that are interested in nbaMatchPredictor_PROTOTYPE are comparing it to the libraries listed below
- Archive of NBA Elo data (updated from FiveThirtyEight version)☆13Updated last week
- A package to work with NBA player tracking stats using the NBA Stats API☆40Updated 2 years ago
- R package for obtaining and analyzing basketball data from the Euroleague☆30Updated last year
- Python API for stats.nba.com with a focus on NBA and WNBA applications☆110Updated 4 months ago
- Python package for filling in information about players on court in NBA play-by-play data.☆39Updated 4 months ago
- Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.☆14Updated 7 years ago
- A scraper to scrape the NBA API and compile a play by play file☆74Updated 2 years ago
- A package to scrape and parse NBA, WNBA and G-League play-by-play data.☆109Updated 9 months ago
- A Python module to scrape data from basketbal-reference.com and convert it to pandas data structures for analysis.☆22Updated last year
- A set of NBA optimizers and GPP tools to help you win daily fantasy sports☆16Updated 5 months ago
- Code examples for using the pbpstats.com API☆17Updated 2 years ago
- A simple yet comprehensive web scraper for kenpom.com.☆79Updated 5 months ago
- Explorations and modeling of NBA data.☆17Updated 4 years ago
- Tutorials for some common NBA stats questions in both python and R☆90Updated 2 years ago
- Using machine learning to predict the outcome of NBA games.☆25Updated 8 months ago
- Last two minute report data from the NBA☆22Updated last month
- NBA play-by-play data from stats.nba.com, data.nba.com, pbpstats.com, and also shots information with season 1996/97☆93Updated last week
- Tutorials for processing nba data☆173Updated 10 months ago
- Tools to extract and analyze basketball data from Spanish FEB leagues☆16Updated 6 years ago
- A machine learning project to predict NCAA Men's Basketball outcomes☆34Updated 2 years ago
- Generate Pitching Summary using MLB Statcast Data☆23Updated 8 months ago
- An R Shiny app to help make betting decisions for FanDuel player props☆20Updated 2 years ago
- ☆53Updated 2 years ago
- A Simple Simulator for estimating NBA game outcomes☆34Updated 6 years ago
- Using k-means clustering to group NBA players by role☆12Updated 6 years ago
- Python tools for Euroleague data ETL.☆9Updated 3 months ago
- Predict Major League Baseball games (win/loss) with machine learning☆16Updated 6 years ago
- A Python Library for Consuming Transactions from Pro Sports Transactions (https://www.prosportstransactions.com)☆14Updated last year
- NBA player play type data from 2015-2024.☆22Updated 11 months ago
- NBA game prediction model☆16Updated 4 years ago