We are living in the midst of a digital revolution, driven by the overwhelming surge of data analysis that impacts nearly every aspect of our lives—including football. The role...

In 2012, Muthu Alagappan, a Stanford University student, made waves in the sports analytics world during MIT's Sloan Sports Analytics Conference. His presentation, titled "From 5 to 13:...

If you're looking to dive into the world of big data in sports, there's one movie you absolutely need to watch: Moneyball (2003). Based on Michael Lewis' bestselling book Moneyball: The Art...

In football analytics, two main types of data are used to analyze matches: Eventing and Tracking. Both are crucial, but they serve different purposes and provide unique insights. Here’s a simple...

In football analytics, different companies use different names for similar ideas. StatsBomb uses Post-Shot Expected Goals (PsXG), while Stats Perform uses Expected Goals on Target...

When evaluating goalkeepers, it’s not enough to just count how many saves they make. We need to understand the quality of the shots they face.  This is where Expected Goals on Target (xGOT)...