Category: Football Analytics

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:...

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)...

In football, finishing ability is all about how well a player turns chances into goals. To measure this, we can use two key numbers: Expected Goals (xG) and Expected Goals on Target...

As we've learned, Expected Goals (xG) is a vital metric in football analytics, helping to quantify the quality of scoring chances.  However, the effectiveness of xG as a tool largely depends...

In the world of football analytics, one of the most revolutionary metrics that has emerged in recent years is Expected Goals, commonly known as xG.  This statistic has changed the way we...