Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer

Rabiu Muazu Musa; Anwar P. P. Abdul Majeed; Norlaila Azura Kosni; Mohamad Razali Abdullah

doi:10.1007/978-981-15-3219-1_3

Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer

Rabiu Muazu Musa, Anwar P. P. Abdul Majeed^*, Norlaila Azura Kosni, Mohamad Razali Abdullah

^*Corresponding author for this work

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

Abstract

The success of a given elite beach soccer team is identified through a number of technical and tactical performance indicators in this chapter. The demarcation of the winning and losing team was determined through the use of the Louvain clustering technique. Subsequently, a number of artificial neural network (ANN) models were developed by varying different hyperparameters in evaluating its ability to accurately ascertaining the class of a team. It was shown from the study that through the framework provided, the best ANN architecture, as well as performance indicators identified, could yield an average classification accuracy of 92.5% on the validation and test dataset.

Original language	English
Title of host publication	SpringerBriefs in Applied Sciences and Technology
Publisher	Springer
Pages	21-28
Number of pages	8
DOIs	https://doi.org/10.1007/978-981-15-3219-1_3
Publication status	Published - 2020
Externally published	Yes

Publication series

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

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10.1007/978-981-15-3219-1_3

Cite this

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abstract = "The success of a given elite beach soccer team is identified through a number of technical and tactical performance indicators in this chapter. The demarcation of the winning and losing team was determined through the use of the Louvain clustering technique. Subsequently, a number of artificial neural network (ANN) models were developed by varying different hyperparameters in evaluating its ability to accurately ascertaining the class of a team. It was shown from the study that through the framework provided, the best ANN architecture, as well as performance indicators identified, could yield an average classification accuracy of 92.5% on the validation and test dataset.",

author = "{Muazu Musa}, Rabiu and {P. P. Abdul Majeed}, Anwar and Kosni, {Norlaila Azura} and Abdullah, {Mohamad Razali}",

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Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer. / Muazu Musa, Rabiu; P. P. Abdul Majeed, Anwar; Kosni, Norlaila Azura et al.
SpringerBriefs in Applied Sciences and Technology. Springer, 2020. p. 21-28 (SpringerBriefs in Applied Sciences and Technology).

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

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AU - Kosni, Norlaila Azura

AU - Abdullah, Mohamad Razali

PY - 2020

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Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer

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