NikosKont / what-makes-a-good-midfielderLinks
Finding out the most important stats for a midfielder
☆11Updated last year
Alternatives and similar repositories for what-makes-a-good-midfielder
Users that are interested in what-makes-a-good-midfielder are comparing it to the libraries listed below
Sorting:
- Historical daily Opta and Club Elo club rankings☆17Updated 5 months ago
- This project aims to rate football players using data and statistics recorded from the last match they participated in. Much of the code …☆12Updated 3 years ago
- MLS and NWSL play-by-play data☆11Updated 2 years ago
- ☆12Updated 3 years ago
- code and plots for viz I put on social media☆52Updated 6 months ago
- The code here is pretty much everything I use to create my visuals. Currently only including code used to create my tables using data fro…☆13Updated last year
- wyscoutapi is an extremely basic API client for the Wyscout API (v2 & v3) for Python☆17Updated 3 years ago
- An implementation of Karun Singh's Expected Threat with R. Data in the SPADL form is required.☆22Updated 3 years ago
- Repository for a how-to on training an expected-goals model for football.☆17Updated 6 years ago
- Public analytics toolbox in R☆15Updated 4 years ago
- Repository for program files used to produced football analysis visualisations. This is mostly me trying to replicate visualisations that…☆13Updated 2 years ago
- ☆8Updated 2 years ago
- API to scrap data from dynamic webpages. (say tables on Sports Reference websites)☆13Updated 5 years ago
- Repository for the 'Player Chemistry: Striving for a Perfectly Balanced Soccer Team' paper.☆32Updated 2 years ago
- Fbref is a popular football stats/metrics site which collections information from Ted Knutson's StatsBomb. You can save this data in a cs…☆11Updated 3 years ago
- a shot at coordinating open source football analytics builders to work towards common standards with interoperability as the goal☆18Updated 2 years ago
- Kiwi shared stats/resources☆34Updated last year
- A Panel App allowing you to create your own tracking data.☆12Updated 3 years ago
- A small Python package for estimating & plotting Bayesian hierarchical models for player-level football data☆27Updated 4 years ago
- A Python Library for Consuming Transactions from Pro Sports Transactions (https://www.prosportstransactions.com)☆14Updated 2 years ago
- Backtesting team-strength models☆18Updated last year
- ☆10Updated 4 years ago
- Twelve Community Dashboard☆9Updated 2 years ago
- Implementing ASA's Win Probability Model☆18Updated 3 years ago
- python package for getting soccer statistics and general information☆12Updated 8 months ago
- A custom react component for Streamlit for working with soccer tracking data