Tipo di tesi
Tesi di laurea magistrale
Titolo
Data-Driven detection of pitch occupancy in football.
Corso di studi
DATA SCIENCE AND BUSINESS INFORMATICS
Parole chiave
- football
- mobility prediction
- sport analysis
- st-resnet
- tracking data
Data inizio appello
22/07/2022
Consultabilità
Tesi non consultabile
Riassunto (Italiano)
In this thesis, we propose the application of model commonly used in the prediction of human mobility, within a football context. The goal is to be able to predict the future occupation of the football field, starting from information on the previous arrangements of the two teams. The human mobility prediction model chosen was ST-ResNet, a well-known model that has now become a baseline in this art. The ultimate goal is to provide a tool that can help coaches and analysts identify future dangers, or opportunities for their team. In addition, we also develop a software for the study of teams and how they react to any specific situations.
