This project contains all tutorials completed in R using the free data from StatsBomb. If you have any requests please message me on Twitter or contact me and I will add any future tutorials here.
Hey everyone, Welcome back to this weeks R for sport post. This week, we will start working with CSV files in R. I will show you how to read the data into an R environment, manipulate the data and export the data to a new file.
Hi Everyone, I recently had a few people reach out to me about creating plots in Power Bi for visualising the direction of kicks in Rugby. Sure it is a different sport, but I thought this was a perfect time to show a few methods of doing this, using football data, that we can apply back to rugby data.
Hi all, In my next video, I build upon the shot plot we created a couple of videos ago using R. This plot was built using ggplot2 and ggsoccer, which allows us to more accurately plot our data.
A tutorial on importing StatsBomb data in to R using the StatsBombR package
This post is aimed at walking through one method of comparing players upon specific metrics within a league setting. For this example I will use a couple of different metrics from the free StatsBomb FA WSL dataset.
An examination of shots from different pitch locations using R and the x y coordinates provided by StatsBomb
An anaysis of shots using FA WSL data from StatsBomb and the ggplot package in R