Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports

Rabiu Muazu Musa, Anwar P. P. Abdul Majeed*, Mohamad Razali Abdullah, Garry Kuan, Mohd Azraai Mohd Razman

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)

Abstract

This chapter presents the current trend of evaluation in high-performance sports and the recent development in the application of data mining and machine learning in the sports domain. The chapter also highlights the performance-related indicators that influence the decision-making ability as well as the overall performance of the referees in the European soccer leagues. Moreover, the detailed procedures of the data collection, data sample, and characteristics as well as various univariate and multivariate statistical analyses employed to achieve the purpose of the present study have also been presented.

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-11
Number of pages11
DOIs
Publication statusPublished - 2022
Externally publishedYes

Publication series

NameSpringerBriefs in Applied Sciences and Technology
ISSN (Print)2191-530X
ISSN (Electronic)2191-5318

Keywords

  • Clustering algorithms
  • Data mining
  • European soccer leagues
  • High-performance sports
  • Machine learning models
  • Performance evaluation
  • Soccer referees

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