Test data for skilled football players from Bosnia and Herzegovina regarding speed, agility, and sport-specific endurance, analyzed using principal component analysis (factor analysis) and cluster analysis via SPSS and Excel software.

Twenty-two elite youth football players (N = 22) underwent a multi-dimensional screening battery capturing 12 standardized anthropometric and motor-performance variables (encompassing multi-directional agility, short-distance acceleration, repetitive upper-body strength, and posterior-chain flexibility). Data reduction was executed via Principal Component Analysis (PCA) with Varimax orthogonal rotation to capture latent structural and functional performance traits. Individual regression-based component scores were subsequently converted into orthogonal percentile ranks to serve as the input vector for hierarchical cluster analysis using Ward’s minimum-variance method.