anuvrat / soccerstatsLinks
☆20Updated 5 years ago
Alternatives and similar repositories for soccerstats
Users that are interested in soccerstats are comparing it to the libraries listed below
Sorting:
- Example code from www.pena.lt/y☆41Updated 5 years ago
- Scrape data from whoscored.com and draw insights from data.☆30Updated 8 years ago
- Soccer analytics☆163Updated 2 years ago
- ☆32Updated 7 years ago
- Reproduction of football models in Stan☆36Updated 4 years ago
- Convert StatsBomb's JSON data into easy-to-use CSV format.☆55Updated last year
- An R package for soccer modelling☆90Updated 4 years ago
- ☆112Updated last year
- Utilising the free women's football data supplied by Statsbomb to help explore and teach football analytics☆45Updated 6 years ago
- ⚽ High-performance football analytics toolkit: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by…☆96Updated 3 weeks ago
- Betting data and analytics.☆42Updated 2 months ago
- Python package that wraps the ASA API☆49Updated last week
- A tutorial on using cross validation and calibrating predictions for expected goals models in soccer☆35Updated 5 years ago
- Find the packing rate in football (soccer)☆20Updated 5 years ago
- Track xy coordinates of events on a soccer pitch☆24Updated 8 years ago
- Analysis and datasets about football (soccer)☆321Updated 3 years ago
- Models for estimating football (soccer) team-strength☆37Updated 3 years ago
- Plot soccer event data in R/ggplot2☆189Updated 9 months ago
- Quantitative predictor of future football scores.☆11Updated 8 years ago
- Create a pitch plot ready for Statsbomb data☆54Updated 7 years ago
- A python implementation of the paper Wide Open Spaces: A statistical technique for measuring space creation in professional soccer☆23Updated 4 years ago
- A scraper to scrape the NBA API and compile a play by play file☆74Updated 2 years ago
- An extendable Statsbomb API wrapper for data-pipelines☆52Updated 3 years ago
- A small Python package for estimating & plotting Bayesian hierarchical models for player-level football data☆28Updated 4 years ago
- ☆21Updated 6 years ago
- Repository for a how-to on training an expected-goals model for football.☆19Updated 6 years ago
- An example of how to create a xG model using R and Wyscout event data☆77Updated last year
- Example code to produce PassSonars from event data.☆51Updated 6 years ago
- Where to find Sports data (R/Python/Other Languages)☆104Updated 4 years ago
- Random forest function used to calculate expected pass completion.