Using Machine Learning to Assess and Compare Athletes in Team Sports

Using machine learning techniques (ML) to assess action (and derived from it player) quality is a recent and promising alternative to expert-based assessments. The big challenges for these approaches consist of data acquisition, data transformation and augmentation, which often require in-depth knowledge of the sport in question, as well as understanding which ML techniques are well-suited not only for final modeling but also for data preparation.