TY - CHAP
T1 - Summary, Conclusion, Current Status, and Future Direction for Referees’ Performance in European Soccer Leagues
AU - Muazu Musa, Rabiu
AU - P. P. Abdul Majeed, Anwar
AU - Abdullah, Mohamad Razali
AU - Kuan, Garry
AU - Mohd Razman, Mohd Azraai
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - In this chapter, we summarize the major findings of the study. The status of the referee’s performance in the European championship, as well as challenges, was deliberated. We also examine the advantages and drawbacks of applying technology towards the enhancement of referees’ decision-making. It is demonstrated that a set of certain performance factors coupled with players’ attitudes influences the accuracies of referees’ decisions during matches. In addition, it was demonstrated that the application of technology to aid decision-making during match play will continue to evolve; however, more efforts are still required to enhance the accuracy of the system and garner spectators’ confidence. The employment of data mining and machine learning techniques will continue to be relevant in evaluating referees’ performance and any subsequent technology that could be applied.
AB - In this chapter, we summarize the major findings of the study. The status of the referee’s performance in the European championship, as well as challenges, was deliberated. We also examine the advantages and drawbacks of applying technology towards the enhancement of referees’ decision-making. It is demonstrated that a set of certain performance factors coupled with players’ attitudes influences the accuracies of referees’ decisions during matches. In addition, it was demonstrated that the application of technology to aid decision-making during match play will continue to evolve; however, more efforts are still required to enhance the accuracy of the system and garner spectators’ confidence. The employment of data mining and machine learning techniques will continue to be relevant in evaluating referees’ performance and any subsequent technology that could be applied.
KW - Data mining
KW - European soccer leagues
KW - Machine learning in sports
KW - Referees’ performance
KW - Technology in sports
KW - Video assistance referee
UR - http://www.scopus.com/inward/record.url?scp=85141677331&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-7049-8_8
DO - 10.1007/978-981-19-7049-8_8
M3 - Chapter
AN - SCOPUS:85141677331
T3 - SpringerBriefs in Applied Sciences and Technology
SP - 51
EP - 53
BT - SpringerBriefs in Applied Sciences and Technology
PB - Springer Science and Business Media Deutschland GmbH
ER -