Zacharias Ljungström: Assessing the Impact of Tracking Data on Passing Metrics in Football
Master thesis final presentation
Time: Fri 2023-06-09 14.15 - 15.15
Location: KTH, room 3721
Respondent: Zacharias Ljungström
In recent years, data analysis in football has become an essential tool for evaluating the performance of teams and players. A variety of metrics, detecting different properties, are being used to gain the optimal advantage. These metrics have mostly been based on event data, but tracking data is becoming more available, providing a new level of context when incorporated into the models.
In this thesis, this effect on passes, the most frequent action in football, have been investigated. This has been done by creating expected threat models, using logistic regression and neural networks, and comparing their performances, with and without tracking data.