arbues6 / Euroleague-MLLinks
The aim of this repository is to publish several Python Notebooks to see how Machine Learning can be applied to basketball-based European Datasets.
☆22Updated 4 years ago
Alternatives and similar repositories for Euroleague-ML
Users that are interested in Euroleague-ML are comparing it to the libraries listed below
Sorting:
- Codes for tweets from @NbaInRstats☆34Updated 6 months ago
- Data analytics and modelling on basketball games☆18Updated 4 years ago
- code and plots for viz I put on social media☆52Updated 6 months ago
- Building a shot probability model from NBA shot chart data☆12Updated 5 years ago
- Tools to extract and analyze basketball data from Spanish FEB leagues☆16Updated 6 years ago
- Implementing ASA's Win Probability Model☆18Updated 3 years ago
- Code & data to create the events sequence linked to the Di María's goal at the final of Copa América 2021☆12Updated 3 years ago
- This is an R translated version of Devin Pleuler's Applied Soccer Analytics with Python☆10Updated 6 years ago
- Euroleague and Eurocup Scrapper☆12Updated 2 years ago
- Public analytics toolbox in R☆15Updated 4 years ago
- A small Python package for estimating & plotting Bayesian hierarchical models for player-level football data☆27Updated 4 years ago
- NBA play-by-play data with several use cases☆17Updated 2 weeks ago
- a shot at coordinating open source football analytics builders to work towards common standards with interoperability as the goal☆18Updated 2 years ago
- R package for obtaining and analyzing basketball data from the Euroleague☆30Updated 2 years ago
- ☆11Updated 6 years ago
- Example code to produce PassSonars from event data.☆51Updated 5 years ago
- ☆14Updated 5 years ago
- R package functions for accessing court vision stats from grand slam websites☆20Updated 3 years ago
- Historical daily Opta and Club Elo club rankings☆17Updated 5 months ago
- NBA Analytics Tutorials☆13Updated last year
- Tutorials for some common NBA stats questions in both python and R☆93Updated 2 years ago
- A Shiny app that creates xG based finishing reports for soccer players using data from Understat.☆16Updated 3 years ago
- A python implementation of the paper Wide Open Spaces: A statistical technique for measuring space creation in professional soccer☆21Updated 4 years ago
- Last two minute report data from the NBA☆23Updated last month
- An implementation of Karun Singh's Expected Threat with R. Data in the SPADL form is required.☆22Updated 3 years ago
- Plotting StatsBomb Freeze Frame shot data☆10Updated 6 years ago
- Repository for the 'Player Chemistry: Striving for a Perfectly Balanced Soccer Team' paper.☆32Updated 2 years ago
- This repository will contain getting started material with R using the StatsBomb dataset.☆63Updated 4 years ago
- Comprehensive sports analytics guide w/ R & Python focus.☆16Updated 2 years ago
- Modeling and Simulation for the 2021 Euro Cup☆17Updated 3 years ago