case studies Injury Prediction in EPL Soccer

what was the challenge

and this is what we improved

  • Athlete profiling
  • Athlete recovery
  • Injury prevention

Most teams collect large amounts of data about each player from several sources, such as GPS-tracking, heart rate variability, physiological and mobility screenings, subjective ratings, blood markers, and injury and medical records. These data are readily available and can be used to annotate injuries even at subclinical levels

A more complete player profile, better training data for injury prediction and an algorithm that can be deployed across different teams and sports