TY - GEN
T1 - Performance indicators defining goal scoring opportunities in elite asian beach soccer
T2 - 11th Malaysian Technical Universities Conference on Engineering and Technology,MUCET 2019
AU - Musa, Rabiu Muazu
AU - Abdul Majeed, Anwar P.P.
AU - Suhaimi, Muhammad Zuhaili
AU - Abdullah, Mohamad Razali
AU - Razman, Mohd Azraai Mohd
AU - Mat-Rasid, Siti Musliha
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2021.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Artificial Neural Network
KW - Beach soccer
KW - Goal scoring opportunities
KW - Performance indicators
UR - http://www.scopus.com/inward/record.url?scp=85090524613&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-7309-5_27
DO - 10.1007/978-981-15-7309-5_27
M3 - Conference Proceeding
AN - SCOPUS:85090524613
SN - 9789811573088
T3 - Lecture Notes in Mechanical Engineering
SP - 276
EP - 282
BT - Advances in Mechatronics, Manufacturing, and Mechanical Engineering - Selected articles from MUCET 2019
A2 - Zakaria, Muhammad Aizzat
A2 - Abdul Majeed, Anwar P.P.
A2 - Hassan, Mohd Hasnun Arif
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 19 November 2019 through 22 November 2019
ER -