Data Mining and Machine Learning in High-Performance Sport: Performance Analysis of On-field and Video Assistant Referees in European Soccer Leagues (SpringerBriefs in Applied Sciences and Technology)

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

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 63
• Category: Library

✦ Synopsis

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.​

✦ Table of Contents

Acknowledgement
Contents
About the Authors
1 Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports
1.1 An Overview of High-Performance Sport
1.2 Responsibilities and Influence of Referees in Top-Flight Soccer Tournaments
1.3 Recent Updates in Data Mining and Machine Learning Application in Sports
1.4 Mann–Whitney U-Test and Kruskal–Wallis Analysis
1.5 Features Extraction Analysis via Information Gain
1.6 Cluster Analysis
1.6.1 Hierarchical Agglomerative Cluster Analysis (HACA)
1.6.2 Louvain Clustering
1.6.3 K-means Cluster Analysis
1.7 Principal Component Analysis as Data Mining Technique
1.8 Application of Machine Learning Models in the Study
1.9 Datasets for the Study
References
2 Pattern Recognition of Misconducts Offences and Bookings of Top European Soccer Leagues Referees
2.1 Overview
2.2 Data Treatment
2.3 Principal Component Analysis for Future Selection
2.4 Results and Discussion
2.5 Summary
References
3 Tactical and Misconduct Actions Leading to VAR Interventions in Top-Flights European Soccer Leagues
3.1 Overview
3.2 Clustering
3.3 Feature Selection
3.4 Machine Learning-Based Classification Model
3.5 Results and Discussion
3.6 Summary
References
4 Positional Events Incidences Leading to VAR Intervention in European Soccer Leagues Games
4.1 Overview
4.2 Events Variables
4.3 Machine Learning-Based Classification Analysis
4.4 Results and Discussion
4.5 Summary
References
5 Decisions Error of Top European Leagues Soccer Leagues Referees at Specific Time of Match Play
5.1 Overview
5.2 Clustering
5.3 Classification
5.4 Results and Discussion
5.5 Summary
References
6 Prevalence and Differences of Decisions Error in Top-Class European Soccer Leagues
6.1 Overview
6.2 Types of Decisions Error Across the Leagues
6.3 Results and Discussion
6.4 Summary
References
7 Relationship Between Match Loading and Decisions Error Among Top-Class European Soccer Leagues Referees
7.1 Overview
7.2 Clustering
7.3 Classification
7.4 Results and Discussion
7.5 Summary
References
8 Summary, Conclusion, Current Status, and Future Direction for Referees’ Performance in European Soccer Leagues
8.1 Summary
8.2 Conclusion
8.3 Current Status and Future Direction