Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Mining and Machine Learning in High-Performance Sport: Performance Analysis of On-Field and Video Assistant Referees in European Soccer Leagues

Data Mining and Machine Learning in High-Performance Sport: Performance Analysis of On-Field and Video Assistant Referees in European Soccer Leagues

Muazu Musa, Rabiu
P. P. Abdul Majeed, Anwar
Abdullah, Mohamad Razali

Paperback

Series: Springerbriefs in Applied Sciences and Technology

Technology & EngineeringSports GeneralGeneral Computers

ISBN10: 9811970483
ISBN13: 9789811970481
Publisher: Springer Nature
Published: Nov 6 2022
Pages: 53
Weight: 0.24
Height: 0.14 Width: 6.14 Depth: 9.21
Language: English

This book explores the application of data mining and machine learning techniques in studying the activity pattern, decision-making skills, misconducts, and actions resulting in the intervention of VAR in European soccer leagues referees. The game of soccer at the elite level is characterised by intense competitions, a high level of intensity, technical, and tactical skills coupled with a long duration of play. Referees are required to officiate the game and deliver correct and indisputable decisions throughout the duration of play. The increase in the spatial and temporal task demands of the game necessitates that the referees must respond and cope with the physiological and psychological loads inherent in the game. The referees are also required to deliver an accurate decision and uphold the rules and regulations of the game during a match. These demands and attributes make the work of referees highly complex. The increasing pace and complexity of the game resulted in the introduction of the Video Assistant Referee (VAR) to assist and improve the decision-making of on-field referees. Despite the integration of VAR into the current refereeing system, the performances of the referees are yet to be error-free. Machine learning coupled with data mining techniques has shown to be vital in providing insights from a large dataset which could be used to draw important inferences that can aid decision-making for diagnostics purposes and overall performance improvement.

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