How a Top-Tier European Soccer Team Cut Data Processing Costs by 50% with Modal

A top-tier European soccer team, anonymized as AFC Richmond, moved its match tracking data pipeline to Modal's serverless GPU platform and cut the cost of processing a full season of games by 50%. The team runs inference on ~3.5 million tracking observations per game through a custom transformer-based model, and with Airflow on Modal now processes each game's data in minutes rather than hours.