Investigating Fouling Efficiency in Football Using Expected Booking (xB) Model
Machine Learning
2024-01-18 v1
Abstract
This paper introduces the Expected Booking (xB) model, a novel metric designed to estimate the likelihood of a foul resulting in a yellow card in football. Through three iterative experiments, employing ensemble methods, the model demonstrates improved performance with additional features and an expanded dataset. Analysis of FIFA World Cup 2022 data validates the model's efficacy in providing insights into team and player fouling tactics, aligning with actual defensive performance. The xB model addresses a gap in fouling efficiency examination, emphasizing defensive strategies which often overlooked. Further enhancements are suggested through the incorporation of comprehensive data and spatial features.
Keywords
Cite
@article{arxiv.2401.08718,
title = {Investigating Fouling Efficiency in Football Using Expected Booking (xB) Model},
author = {Adnan Azmat and Su Su Yi},
journal= {arXiv preprint arXiv:2401.08718},
year = {2024}
}