The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ggfootball

It’s Football not Soccer.

Overview

The ggfootball package provides R functions that scrape shots data from understat and visualizes it using interactive plots:

• A detailed shot map displaying the location, type, and expected goals (xG) value of shots taken by both teams.
• An xG timeline chart showing the cumulative expected goals for each team over time, annotated with the details of scored goals.

Installation

You can install ggfootball from CRAN with:

install.packages("ggfootball")

Example

library(ggfootball)

# xG chart
xg_chart(match_id = 26631, 
         home_team_color = "red", 
         away_team_color = "grey", 
         competition = "Premier League",
         bg_color = "#FFF1E5",
         plot_bg_color = "#FFF1E5")

# Shot/xG map
xg_map(match_id = 26631, title = "xG Map")

Acknowledgements

• Ewen Henderson for his amazing {understatr} package which I used to extract data.

• Guangchuang YU for his {hexSticker} package which I used to create the logo for this package.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.