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...
What if your team isn’t pressing as well as the data says? In this post and podcast episode, we explore xPPDA (Expected PPDA Disruption) — a cutting-edge defensive metric developed by the Football Intelligence & Performance Department at LALIGA. Unlike traditional PPDA models based on fixed...
A multifactorial injury risk model developed by LALIGA’s Football Intelligence & Performance Area. Based on 18 weighted, evidence-based variables—including load metrics, genetics, recovery and match exposure—it offers a contextual scoring system to classify players as high, moderate or low risk before every match. Designed for...
Are your small-sided training sessions truly representative of what happens during matches? This article presents a cutting-edge model developed by LALIGA’s Football Intelligence Area using real match data and artificial intelligence to dynamically detect and classify small-sided game contexts based on opponent behavior, tactical systems,...
Discover how to evaluate your team's defensive behavior beyond simple pressure counts. This AI-enhanced model, based on LALIGA EA Sports 2024/25 data, reveals how FC Barcelona leads in true pressing efficiency. Explore a visual framework to measure how well your team presses—and how much it...
In elite football, data science must serve tactical intelligence—not replace it. In this article, we explore how LALIGA’s Football Intelligence Department applies advanced data models to prepare for matches like ElClásico. From exposing blind spots behind fullbacks to exploiting pressure-free zones between the lines, each...