With worldfootballR recently including a wrapper for extracting Fotmob data, I thought it might be a good time to write a small post on how to get historical match IDs fairly efficiently.
Introduction Do you find your love of football and curious mind converging to the point where you want to dig a little into the data to confirm if what your eyes are seeing is in fact what’s happening, but you just don’t know how to get started, or where to get data from?
The data for this post has been extracted from fbref.com, using the worldfootballR R stats package. To install the package, run devtools::install_github("JaseZiv/worldfootballR").
To extract the data for the post, the below code was run on Monday the 19th of April.
Football (soccer) as often referred to as “the beautiful game”, is made all the more beautiful because of the intricacies of playing styles between different nations.
This piece aims to begin exploring some of these differences in the playing style of the top five European domestic leagues.
This post continues a series of posts that aims to showcase the new worldfootballR R package for extracting world football (soccer) data from popular data site fbref.com.
This post will aim to analyse expected goals and actual goals, primarily focusing on Liverpool.