In this episode I talk to MSc Data Science graduate Luke Sawney from the University of Manchester. We talk about his masters thesis on all things attacking football, clustering and how this impacts tactics and transfers out in the real world.

With the January transfer window opening this week, it's a great way to kick it all off, and understand some of the data behind the moves.

We also chat about the state of the game, including referees and how data or AI could be used to add consistency to those decisions that continue to divide opinion! Furthermore, Luke's passion for data science shines through as we break down his methodology for his paper which revealed there are 5 distinct attacking styles that are used in football. These include anything from Dyche's long ball to Pep's one touch game. This is a must listen for any football fanatics out there!

As always, if you are interested in joining me on the podcast with your paper, then give me a message via social media on the linktree below - have a great week!

Link to Lukes LinkedIn: https://www.linkedin.com/in/luke-sawney/

Linktree: https://linktr.ee/paperlesspodcast