bsamot10 / EuroleagueDataETL
Python tools for Euroleague data ETL.
☆9Updated 4 months ago
Alternatives and similar repositories for EuroleagueDataETL
Users that are interested in EuroleagueDataETL are comparing it to the libraries listed below
Sorting:
- Euroleague and Eurocup Scrapper☆12Updated 2 years ago
- Archive of NBA Elo data (updated from FiveThirtyEight version)☆13Updated last month
- Explorations and modeling of NBA data.☆17Updated 4 years ago
- Label SportVU movement data with shot zone labels☆17Updated 8 years ago
- Goals Above Replacement and Elo Rating data for NHL history.☆23Updated 3 weeks ago
- Building a shot probability model from NBA shot chart data☆12Updated 4 years ago
- Tools to extract and analyze basketball data from Spanish FEB leagues☆16Updated 6 years ago
- Using packages to create shot charts generated in R Studio.☆39Updated 2 years ago
- A tool for simulating the NFL regular season and playoffs☆12Updated 4 years ago
- R package for obtaining and analyzing basketball data from the Euroleague☆30Updated 2 years ago
- Side project, building NFL draft model using combine measurements, college statistics☆23Updated 6 years ago
- Code examples for using the pbpstats.com API☆17Updated 2 years ago
- Tutorials for some common NBA stats questions in both python and R☆90Updated 2 years ago
- NBA Three-Point Model for Sports Betting☆16Updated 2 years ago
- Public analytics toolbox in R☆14Updated 4 years ago
- Player advanced stats and Elo ratings for WNBA history☆13Updated 4 years ago
- Week by week data scraped from the next gen stats public website☆10Updated 5 years ago
- NFL data, analysis, viz, etc☆24Updated 3 weeks ago
- NBA player play type data from 2015-2024.☆22Updated last year
- Contains the code used to create an expected goal model for the National Hockey League (NHL).☆19Updated 7 years ago
- ☆11Updated 2 years ago
- Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer…☆31Updated 3 years ago
- Machine learning model that predicts the outcome of NHL and NBA games, determining the probability of teams winning and point spreads.☆12Updated last month
- NBA play-by-play data with several use cases☆16Updated this week
- How to parse play by play☆15Updated 4 years ago
- A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport☆48Updated 3 years ago
- Player-tracking data from NFL Next Gen Stats Highlights.☆52Updated 3 years ago
- ☆29Updated 7 months ago
- An R Shiny app to help make betting decisions for FanDuel player props☆20Updated 2 years ago
- Using machine learning to classify NBA players☆9Updated 4 years ago