Performance indicators defining goal scoring opportunities in elite asian beach soccer: An artificial neural network approach

Rabiu Muazu Musa*, Anwar P.P. Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohamad Razali Abdullah, Mohd Azraai Mohd Razman, Siti Musliha Mat-Rasid

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

The game of beach soccer at the elite level is characterised with a high tempo that leads to the scoring of many goals in a match. A draw cannot decide the outcome of a match, and thus, a winner is decided by a team that scores more goals than the opponent hence, investigating performance indicators (PIs) that could lead to a higher goal-scoring opportunity in this game is non-trivial in ensuring the success of a team during a match. In the present study, an analysis of performance indicators was carried out through which a total number of 16 relevant performance indicators were considered, and multiple linear regression (MLR) was used to extract the significant PI that could lead to chances of scoring goals. An Artificial Neural Network (ANN) was used to predict the opportunities for scoring goals based on the extracted PIs. The MLR was able to extract shot at back third, pass at front third, short inside box, turnover, tackling, as well as fouls committed as the most significant PI whilst a robust predictive model was obtained via the ANN with an R2 of 0.91 and a very low mean absolute error of 1.76 amongst the other model predictive evaluation parameters. It is postulated from the present study that the identified PIs are essential in increasing the chances of scoring goals in the elite Asian beach soccer competition.

Original languageEnglish
Title of host publicationAdvances in Mechatronics, Manufacturing, and Mechanical Engineering - Selected articles from MUCET 2019
EditorsMuhammad Aizzat Zakaria, Anwar P.P. Abdul Majeed, Mohd Hasnun Arif Hassan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages276-282
Number of pages7
ISBN (Print)9789811573088
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event11th Malaysian Technical Universities Conference on Engineering and Technology,MUCET 2019 - Kuantan, Malaysia
Duration: 19 Nov 201922 Nov 2019

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference11th Malaysian Technical Universities Conference on Engineering and Technology,MUCET 2019
Country/TerritoryMalaysia
CityKuantan
Period19/11/1922/11/19

Keywords

  • Artificial Neural Network
  • Beach soccer
  • Goal scoring opportunities
  • Performance indicators

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