football data science Tag

At the end of every season, one ranking inevitably captures the spotlight: the goalscoring table. The logic seems straightforward. More goals should mean better attacking performance. But football is rarely that simple. While total goals provide an important starting point, they reveal very little about how...

https://youtube.com/shorts/YlZ8vkAUo5c?feature=share Most tactical problems do not start with the final mistake. They start seconds earlier. A defensive line becomes too stretched.A midfielder arrives late to cover.A full-back jumps to press without compensation behind him.Distances between teammates become too large around the ball. And suddenly, the team loses control of...

Introducing LALIGA’s Team Context Adjustment Model (TCAM) With only one matchday remaining in the 2025/26 LALIGA EA SPORTS season, recruitment departments across professional football are already immersed in one of the most decisive moments of the year: building next season’s squad. Every summer, clubs compare hundreds of players...

https://youtube.com/shorts/T-oD7WAjA64?feature=share Introducing the Elite Passing Differential Index (EPDI) In modern football, identifying elite passers has become increasingly complex. For years, pass completion percentage has been one of the most commonly used metrics to evaluate players’ passing performance. It is simple, intuitive, and easy to communicate. A player completes...

Does your team consistently impose its playing style? This post explores how to measure tactical identity through passing networks and data science, based on innovative research by LALIGA’s Football Intelligence & Performance Department. Learn which teams are most consistent, how to assess your own style, and...