Investigating Fouling Efficiency in Football Using Expected Booking (xB) Model

Fuente: arXiv
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Main Authors: Azmat, Adnan, Yi, Su Su
Format: Preprint
Published: 2024
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author Azmat, Adnan
Yi, Su Su
author_facet Azmat, Adnan
Yi, Su Su
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2401_08718
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Investigating Fouling Efficiency in Football Using Expected Booking (xB) Model
Azmat, Adnan
Yi, Su Su
Machine Learning
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.
title Investigating Fouling Efficiency in Football Using Expected Booking (xB) Model
topic Machine Learning
url https://arxiv.org/abs/2401.08718