Objectives: This study aimed to examine the structure of anthropometric characteristics, motor skills and specific motor skills in young football players. Methods: Study participants (427 male football players) were divided into pre-pioneers (11–13 y), n = 133; pioneers (13–15 y), n = 160; and cadets (15–17 y), n = 134. The entire sample of subjects was evaluated using 13 anthropometric and seven motor variables. The factor structure for each chronological age group was determined using Hotelling’s method. Results: Anthropometric characteristics showed three extracted factors in the pre-pioneers group, four factors in the pioneer group and two factors in the cadet group. Motor skills displayed three factors for the youngest group, two factors for the pioneers and three factors for the cadet group. Four factors were determined for specific motor skills in pre-pioneers, four in pioneers and three in cadet age. Conclusions: This study revealed structural variability and non-uniformity in the latent dimensions across age groups, with the total number of factors fluctuating between two and four. This study revealed two consistent latent dimensions in anthropometric data across all age groups: general morphological parameters and subcutaneous fat tissue. In motor skills, an initial universal factor is separated into central and energetic regulation of movements. Finally, specific motor skills demonstrated a transition from a highly differentiated four-factor structure in younger players toward a more integrated functional system in the oldest cohort, comprising intermuscular coordination, running speed with and without a ball; segmental speed of the lower extremities with a ball; and explosive force in hitting a ball with the foot and head.

Body composition is strongly influenced by physical activity and dietary habits. Male students enrolled in Physical Education and Sport programs represent a distinct population because their curricula include systematic physical activity that directly affects physiological characteristics. This study aimed to establish a representative body composition profile of physically active male Physical Education and Sport students using a multi-frequency bioelectrical impedance analyzer (BIA) and to evaluate the reliability and consistency of measurements across two assessments. A total of 108 male students aged 19–25 years participated in the study. Body composition was assessed using ten indicators: body fat percentage, visceral fat index, body mass index (BMI), muscle mass, skeletal muscle mass, sarcopenic index, total body water, body weight, height, and phase angle. Descriptive statistics, paired-samples t-tests, effect size analysis (Cohen’s d), and Bland–Altman analyses were used to evaluate agreement, reliability, and measurement consistency between pre- and post-test assessments. No statistically significant differences were observed between assessments for any parameter (p > 0.05). Effect sizes were trivial across all indicators, indicating negligible changes between measurements. Bland–Altman analysis revealed bias values close to zero and relatively narrow 95% limits of agreement, confirming good measurement reliability and reproducibility. Physically active male students exhibited a stable and reproducible body composition profile. The obtained values may serve as reference data for body composition assessment in similar populations. Although the BIA method demonstrated high reliability, it appears more sensitive to moderate-to-large changes than to very small individual physiological fluctuations.