Abstract
This study aims to examine the most dominant variables multilaterally with specifically focus on the differences and inter-individually variability in different soccer positions. 184 male youth soccer players were recruited in Malaysia soccer academy (average age = 15.2±2.0) underwent to, physical fitness test, anthropometric, maturity, motivation and level of skill related soccer. Principal Component Analysis (PCA) revealed multilateral dominant variables for soccer player’s meanwhile Multivariate Analysis of Variance (MANOVA) discovered the significant inter-groups/position variability. As a result, practitioners and players have an option for their monitoring parameters (33 to 18 parameters). Variability of players positioning characteristics highlighted the weakness and strongest ability to be more competitive in the game.Keywords: pattern recognition; principal component analysis; soccer
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