ISTI-CNR, University of Pisa and FC Barcelona created an algorithm which rely on GPS measurements and Artificial Intelligence to predict around 50% of the injuries of a professional soccer team during a season. The research, just published on the journal PLoS One, is a significant improvement with respect to traditional techniques in sports science and can help professional soccer clubs to save a significant part of the costs associated with the recovery and rehabilitation of players.

Reference: Alessio Rossi, Luca Pappalardo, Paolo Cintia, Marcello F. Iaia, Javier Fernandez, Daniel Medina, Effective injury forecasting in soccer with GPS training data and machine learning, PLoS One, https://doi.org/10.1371/journal.pone.0201264, 2018.