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Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports Read chapter Read first chapter

2021 | OriginalPaper | Chapter

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

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

Published in: Machine Learning in Elite Volleyball

Publisher: Springer Singapore

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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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previous chapter Anthropometric Variables in the Identification of High-performance Volleyball Players
next chapter Summary, Conclusion, and Future Direction
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Metadata
Title
Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition
Authors
Rabiu Muazu Musa
Anwar P. P. Abdul Majeed
Muhammad Zuhaili Suhaimi
Mohd Azraai Mohd Razman
Mohamad Razali Abdullah
Noor Azuan Abu Osman
Copyright Year
2021
Publisher
Springer Singapore
Book
Machine Learning in Elite Volleyball

Print ISBN: 978-981-16-3191-7

Electronic ISBN: 978-981-16-3192-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-16-3192-4_6

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