If you want to move past aggregate data on players and teams, you probably want to start looking at match event data. Obtaining this…
With the World Cup just 3 months away, the best bit of the tournament build up is upon us – the Panini sticker album.…
Working in Python, your data is likely to come from a number of different places – spreadsheets, databases or elsewhere. Eventually, you will find…
In this tutorial, we’ll be looking to develop our scraping knowledge beyond just lifting text from a single page. Following through the article, you’ll…
Before starting the article, I’m obliged to mention that web scraping is a grey area legally and ethicaly in lots of circumstances. Please consider…
FC Python recently received a tweet from @fitbawnumbers applying our lollipop chart code to Pep’s win percentage. It was great to see this application…
Part of Twitter’s draw is the vast number of voices offering their opinions and thoughts on the latest events. In this article, we are…
Tracking technology has been a part of football analysis for the past 20 years, giving access to data on physical performance and heat map…
When we are comparing data between players, it is very important that we standardise their data to ensure that each player has the same…