Worville / ggplot2_football_pitchView external linksLinks
Basic code to draw a football pitch in ggplot 2
☆12Sep 29, 2017Updated 8 years ago
Alternatives and similar repositories for ggplot2_football_pitch
Users that are interested in ggplot2_football_pitch are comparing it to the libraries listed below
Sorting:
- ☆14Apr 5, 2018Updated 7 years ago
- ☆21Mar 19, 2019Updated 6 years ago
- This is an R translated version of Devin Pleuler's Applied Soccer Analytics with Python☆10Mar 14, 2019Updated 6 years ago
- Example code from www.pena.lt/y☆42Oct 24, 2019Updated 6 years ago
- Finding out the most important stats for a midfielder☆12Sep 9, 2023Updated 2 years ago
- Track xy coordinates of events on a soccer pitch☆24Mar 27, 2017Updated 8 years ago
- A work in progress repository to create a digital representation of football broadcast footage⚽.☆13Mar 12, 2021Updated 4 years ago
- ☆10Jun 2, 2020Updated 5 years ago
- Shapley Values in Soccer Research☆11Jul 13, 2014Updated 11 years ago
- ☆28Sep 18, 2023Updated 2 years ago
- an analytical panel consisting of basic stats for fpl exploration☆11Sep 27, 2022Updated 3 years ago
- Easily make interactive plots of player-tracking data☆11Sep 20, 2021Updated 4 years ago
- A Panel App allowing you to create your own tracking data.☆12Sep 17, 2021Updated 4 years ago
- This is a Wrapper over the data sets provided at football-data.co.uk☆28Sep 21, 2017Updated 8 years ago
- ☆12Sep 3, 2020Updated 5 years ago
- This is a demo to show how to use classification network to track a volleyball during the game.☆16Mar 12, 2021Updated 4 years ago
- R package: find footballers' common team mates☆14Feb 6, 2022Updated 4 years ago
- An MLS form guide, because the league stopped providing one☆16Jan 28, 2026Updated 2 weeks ago
- wyscoutapi is an extremely basic API client for the Wyscout API (v2 & v3) for Python☆18Oct 1, 2021Updated 4 years ago
- Soccer analytics☆161Aug 3, 2022Updated 3 years ago
- ☆39May 11, 2019Updated 6 years ago
- Python package that helps you visualize football data☆69Jan 6, 2019Updated 7 years ago
- Based on NFL game data, we want to predict the success of a play. This can be used to insert different strategies before the play is call…☆37Dec 21, 2016Updated 9 years ago
- A new and non-invasive method of tracking Players in a Soccer Match.☆19Apr 22, 2019Updated 6 years ago
- A Shiny app that creates xG based finishing reports for soccer players using data from Understat.☆16Jun 27, 2022Updated 3 years ago
- Repository for a how-to on training an expected-goals model for football.☆20Jan 25, 2019Updated 7 years ago
- R package for the Betfair API☆18Mar 28, 2019Updated 6 years ago
- A collection of soccer results☆28Mar 26, 2014Updated 11 years ago
- Utilising the free women's football data supplied by Statsbomb to help explore and teach football analytics☆47Sep 2, 2018Updated 7 years ago
- Data Visualization in R 📊 with code and contributions to the #TidyTuesday project☆19Aug 3, 2021Updated 4 years ago
- Machine Learning the NFL Draft☆20Apr 20, 2016Updated 9 years ago
- Integrated R labs for high school students☆20Dec 9, 2016Updated 9 years ago
- R package for using the cal-heatmap Javascript library☆21Aug 12, 2025Updated 6 months ago
- An implementation of Karun Singh's Expected Threat with R. Data in the SPADL form is required.☆23Jun 30, 2021Updated 4 years ago
- Creating simple passmaps using Statsbomb's data☆22Jun 3, 2020Updated 5 years ago
- code and plots for viz I put on social media☆53Oct 6, 2025Updated 4 months ago
- American Soccer Analysis interactive application, built with Shiny.☆22Jan 6, 2026Updated last month
- ☆21Jan 2, 2021Updated 5 years ago
- Latency numbers every data scientist should know (aka the pyramid of analytical tasks) - the order of magnitude of computational time for…☆19Apr 13, 2017Updated 8 years ago