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.
Hi all, following on from my last tutorial, I have now created something more football specific using the built-in scatter plot in Power Bi. This tutorial will take you through building a basic shot plot with shots coloured by outcome.
Since I wrote this first post back in 2019, a few things have changed with how our capture the data from the StatsBomb open data sets. So this post, is mostly unchanged, but the code itself is different and will work with newer versions of R, namely 4+.
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.
In this tutorial I take you through reformatting a match events file downloaded as "tidy" data frame from the statsbomb library. This will hope to show you some basic needs when reformatting these files for use in visualisations or databases.
Python is a widely used coding language, and so being able to use and understand this language is quite important for many jobs around the world. This tutorial will work through installing and using the statsbomb python library.
The use of scatter plots can provide a lot of information in a quick snapshot. In this blog post I provide an overview of some uses the scatter plot can have in comparing relational data to see where a team fits compared to their opposition.
Following on from last weeks post on plotting passes, I thought it might be fun to plot the shots and locations of players using the shot freeze frame in StatsBomb data.
For this tutorial I am going to show you how to plot all the passes from a match on a pitch. We are going to go through this in a few steps and add some detail as we go.