UMP Institutional Repository

A multilateral modelling of Youth Soccer Performance Index (YSPI)

Ahmad Bisyri Husin, Musawi Maliki and Mohamad Razali, Abdullah and Hafizan, Juahir and Farhana, Abdullah and Nurul Ain Shahirah, Abdullah and Rabiu Muazu, Musa and Siti Musliha, Mat-Rasid and Aleesha, Adnan and Norlaila Azura, Kosni and Wan Siti Amalina, Wan Muhamad and Nur Afiqah, Mohamad Nasir (2018) A multilateral modelling of Youth Soccer Performance Index (YSPI). In: IOP Conference Series: Materials Science and Engineering: International Conference On Innovative Technology, Engineering And Sciences (ICITES 2018), 01-02 April 2018 , UMP Library, Pekan. pp. 1-9., 342 (1). ISSN 17578981

A multilateral modelling of Youth Soccer Performance Index (YSPI).pdf

Download (271kB) | Preview


This study aims to identify the most dominant factors that influencing performance of soccer player and to predict group performance for soccer players. A total of 184 of youth soccer players from Malaysia sport school and six soccer academy encompasses as respondence of the study. Exploratory factor analysis (EFA) and Confirmatory factor analysis (CFA) were computed to identify the most dominant factors whereas reducing the initial 26 parameters with recommended >0.5 of factor loading. Meanwhile, prediction of the soccer performance was predicted by regression model. CFA revealed that sit and reach, vertical jump, VO2max, age, weight, height, sitting height, calf circumference (cc), medial upper arm circumference (muac), maturation, bicep, triceps, subscapular, suprailiac, 5M, 10M, and 20M speed were the most dominant factors. Further index analysis forming Youth Soccer Performance Index (YSPI) resulting by categorizing three groups namely, high, moderate, and low. The regression model for this study was significant set as p < 0.001 and R2 is 0.8222 which explained that the model contributed a total of 82% prediction ability to predict the whole set of the variables. The significant parameters in contributing prediction of YSPI are discussed. As a conclusion, the precision of the prediction models by integrating a multilateral factor reflecting for predicting potential soccer player and hopefully can create a competitive soccer games.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Index by Scopus
Uncontrolled Keywords: Factor analysis; Forecasting; Multivariant analysis; Regression analysis
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 13 Feb 2019 08:54
Last Modified: 13 Feb 2019 08:54
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item