Data analysis in sports is definitely changing the game. Data analysis helps sports entities evaluate the performance of their athletes and assess the recruitment necessary to improve the team’s performance. It also evaluates the strong and weak areas of their opponents, enabling coaches to make the right decision on their tactics. But data is not only used in performance optimization. It is also used in the storytelling of the game and the safety monitoring of the athlete/venue. The sports data science team of IDLab performs research in each of these domains. With this project funding we aim to i) further investigate the optimization of different hardware set-ups/aspects (sensors, communication, synchronization, ...) in a challenging sports context and ii) improve state of the art machine learning building blocks for sports data analysis. Furthermore, special attention will be given to the implementation/valorization of the results and the optimization of their user experience.