How to process soccer training data
The management of the weekly training load represents a key point in football in order to optimize match performance and reduce the risk of injury. However, the amount of data is increasing more and more during the last few years, for this reason, the implementation of automated processes is crucial to optimize training load analysis. During this lecture, we will talk about how sports science and data science come together in order to support training monitoring. We will start from data cleaning (Python scripts) and we will move up to the creation and presentation of the final report (Tableau dashboards).
Mauro Mandorino - Biosketch
Mauro Mandorino is a Sports Scientist at Parma Calcio 1913. He is in charge of GPS data analysis, training load optimization, and daily report management. He received his BSc (2016), MSc (2018) in Sports Science, and Ph.D. (2022) in Human Movement and Sport Sciences at the University of Rome “Foro Italico”. His research area is related to the analysis of soccer performance, and the adoption of machine learning techniques in the support of training load management and injury prediction.