Data Science Approaches for the Analysis and Interpretation of Training Load Data of Athletes KU Leuven
Research on the analysis of real-world sports data dates back at least to 1958 (Lindsey 1959; Rubin 1958). Advances in technology have caused an explosion of the amount of sports-related data about sports. The abundance of data has attracted the interest of both the academic community and the industry. The aim of this sports analytics community is to leverage the available data to help decision makers to gain a competitive advantage (Alamar ...