To better manage player load, the SD Eibar’s women’s football team switched to a data-driven strategy powered by GPS. It’s a move that their physical trainer, Ismel Mazola says, led to more confident coaching decisions and motivated his players.

The competitive pressures and dense schedules in professional handball make injuries common among players. The results of a 6‑year study not only highlight the need for an injury prevention plan but also suggest ways coaches can develop one.

Live GPS football data helps keep players fresh for game day. Just ask the Director of Performance for the Appalachian State Football team, Matt Greenhalgh. He shares what he thinks are some of the most critical load management metrics in the game.

Researchers used LPS data and machine learning to create a new model for predicting goals in handball. It’s now helping coaches identify their quality scorers and develop better strategies. Here’s how. 

Hamstring strains are common among male college American football players. Researchers have been investigating potential risk factors to better understand and prevent these injuries, and they believe they have identified three that all coaches should track.

The Arizona State University Women’s Volleyball team used data to determine their optimal practice length, and it culminated in one of their best seasons in school history.