StatsBomb

In part 6 of our match report series, find out how to dig a little deeper in to your data with a simple shooting analysis of the match.

Hi everyone, in this weeks R For Sport post we are looking at how to calculate rolling averages using different packages that have been developed specifically for R.

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, This week we are stepping back in time a bit, returning to the origins of my blog and showcasing some R. We will be walking through an Introduction to R, focussing on StatsBombR.

In Part 5 of our match report series, we look back at what we have done so far and also add performance of our team throughout the season. Check it out today!

In Part 4 of our match report series we will show performance over recent matches to help visualise how the team is trending.

In this Python Tutorial I will plot event data from StatsBomb in a few different scenarios. This will include shots and passes from a single match. This data will be called using the StatsBomb python library and reformatted entirely in Python. I hope you enjoy.

In Part 3 of our match report series we add some stats to show the performance of the team in the given match.

Hi guys, In this weeks tutorial, we are expanding on the shot plot we created in R by adding some extra information to easily understand the plot and some context around it.

Hi all, last time we created a nice shot plot using the built-in scatter plot for Power Bi. Today we will take things a step further, using the R Custom Visual in Power Bi.