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Data Mining and Machine Learning in High-Performance Sport - Performance Analysis of On-field and Video Assistant Referees in European Soccer Leagues (Paperback, 1st ed. 2022)
Loot Price: R1,404
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Data Mining and Machine Learning in High-Performance Sport - Performance Analysis of On-field and Video Assistant Referees in European Soccer Leagues (Paperback, 1st ed. 2022)
Series: SpringerBriefs in Applied Sciences and Technology
Expected to ship within 10 - 15 working days
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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. A total of 6232 matches from 5
consecutive seasons officiated across the English Premier League,
Spanish LaLiga, Italian Serie A as well as the German Bundesliga
was studied. It is envisioned that the findings in this book could
be useful in recognising the activity pattern of top-class
referees, that is non-trivial for the stakeholders in devising
strategies to further enhance the performances of referees as well
as empower talent identification experts with pertinent information
for mapping out future high-performance referees.
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