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

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Machine Learning in Elite Volleyball

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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Correspondence to Anwar P. P. Abdul Majeed .

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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: Machine Learning in Elite Volleyball. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-3192-4_6

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