Case Study: LaLiga optimizes player performance and transforms fan experience with Databricks Lakehouse

Revolutionizing how sports are played and experienced

LaLiga, one of the world's most-watched football leagues, faced the challenge of turning petabytes of structured and unstructured video data—from hundreds of stadium cameras capturing 300,000 frames per match—into actionable insights. The league struggled to efficiently ingest live-action data and translate it into business-ready analytics that clubs and stakeholders could use to improve player performance, prevent injuries and enhance the fan experience.

By adopting the Databricks Lakehouse Platform on Azure with Delta Lake, MLflow and Power BI, LaLiga built a scalable, reliable pipeline for real-time streaming analytics and machine learning. The solution enabled faster ingestion, unified data preparation, predictive models for player and ball tracking, and personalized fan experiences; LaLiga has now launched LaLiga Tech to deliver these data-driven capabilities to sports and entertainment organizations worldwide.

LaLiga

Guillermo Roldán

Head of Architecture