Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition

Rabiu Muazu Musa; Anwar P.P. Abdul Majeed; Muhammad Zuhaili Suhaimi; Mohd Azraai Mohd Razman; Mohamad Razali Abdullah; Noor Azuan Abu Osman

doi:10.1007/978-981-16-3192-4_6

Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition

Rabiu Muazu Musa, Anwar P.P. Abdul Majeed^*, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman, Mohamad Razali Abdullah, Noor Azuan Abu Osman

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	SpringerBriefs in Applied Sciences and Technology
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	43-49
Number of pages	7
DOIs	https://doi.org/10.1007/978-981-16-3192-4_6
Publication status	Published - 2021
Externally published	Yes

Publication series

Name	SpringerBriefs in Applied Sciences and Technology
ISSN (Print)	2191-530X
ISSN (Electronic)	2191-5318

Keywords

Indoor men volleyball
Medallists
Non-medallists
Stacking-based machine learning model
Technical and tactical indicators

Access to Document

10.1007/978-981-16-3192-4_6

Cite this

Muazu Musa, R., Abdul Majeed, A. P. P., Suhaimi, M. Z., Mohd Razman, M. A., Abdullah, M. R., & Abu Osman, N. A. (2021). Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition. In SpringerBriefs in Applied Sciences and Technology (pp. 43-49). (SpringerBriefs in Applied Sciences and Technology). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-3192-4_6

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abstract = "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.",

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author = "{Muazu Musa}, Rabiu and {Abdul Majeed}, {Anwar P.P.} and Suhaimi, {Muhammad Zuhaili} and {Mohd Razman}, {Mohd Azraai} and Abdullah, {Mohamad Razali} and {Abu Osman}, {Noor Azuan}",

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Muazu Musa, R, Abdul Majeed, APP, Suhaimi, MZ, Mohd Razman, MA, Abdullah, MR & Abu Osman, NA 2021, Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition. in SpringerBriefs in Applied Sciences and Technology. SpringerBriefs in Applied Sciences and Technology, Springer Science and Business Media Deutschland GmbH, pp. 43-49. https://doi.org/10.1007/978-981-16-3192-4_6

Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition. / Muazu Musa, Rabiu; Abdul Majeed, Anwar P.P.; Suhaimi, Muhammad Zuhaili et al.
SpringerBriefs in Applied Sciences and Technology. Springer Science and Business Media Deutschland GmbH, 2021. p. 43-49 (SpringerBriefs in Applied Sciences and Technology).

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

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.

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AU - Mohd Razman, Mohd Azraai

AU - Abdullah, Mohamad Razali

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KW - Indoor men volleyball

KW - Medallists

KW - Non-medallists

KW - Stacking-based machine learning model

KW - Technical and tactical indicators

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Muazu Musa R, Abdul Majeed APP, Suhaimi MZ, Mohd Razman MA, Abdullah MR, Abu Osman NA. Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition. In SpringerBriefs in Applied Sciences and Technology. Springer Science and Business Media Deutschland GmbH. 2021. p. 43-49. (SpringerBriefs in Applied Sciences and Technology). doi: 10.1007/978-981-16-3192-4_6

Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition

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