TY - CHAP
T1 - Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition
AU - Muazu Musa, Rabiu
AU - Abdul Majeed, Anwar P.P.
AU - Suhaimi, Muhammad Zuhaili
AU - Mohd Razman, Mohd Azraai
AU - Abdullah, Mohamad Razali
AU - Abu Osman, Noor Azuan
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - In this chapter, we investigated the influence of technical and tactical performance indicators in determining the match outcome, i.e. medallists and non-medallists during an indoor volleyball competition. A set of performance indicators, namely the ability to block, spike as well as tap, are shown to be essential in determining the chances of a team to either earn or lose a medal. It has been shown that both technical and tactical skills are essential for ensuring success in the men elite indoor volleyball championship. Moreover, a stacking-based machine learning approach was found to be effective in the identification of the chances for winning or losing a medal during a volleyball competition.
AB - In this chapter, we investigated the influence of technical and tactical performance indicators in determining the match outcome, i.e. medallists and non-medallists during an indoor volleyball competition. A set of performance indicators, namely the ability to block, spike as well as tap, are shown to be essential in determining the chances of a team to either earn or lose a medal. It has been shown that both technical and tactical skills are essential for ensuring success in the men elite indoor volleyball championship. Moreover, a stacking-based machine learning approach was found to be effective in the identification of the chances for winning or losing a medal during a volleyball competition.
KW - Indoor men volleyball
KW - Medallists
KW - Non-medallists
KW - Stacking-based machine learning model
KW - Technical and tactical indicators
UR - http://www.scopus.com/inward/record.url?scp=85108425679&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-3192-4_6
DO - 10.1007/978-981-16-3192-4_6
M3 - Chapter
AN - SCOPUS:85108425679
T3 - SpringerBriefs in Applied Sciences and Technology
SP - 43
EP - 49
BT - SpringerBriefs in Applied Sciences and Technology
PB - Springer Science and Business Media Deutschland GmbH
ER -