Unlocking Youth Athletic Potential: Predicting Triple Jump Outcomes from Anthropometric Profiles in U-17 Male Athletes

Understanding the role of anthropometric characteristics in athletic performance is essential for identifying and nurturing young talent. This study explores the predictive relationship between key anthropometric variables and triple jump performance among under-17 male athletes. A total of 60 participants were assessed for parameters including height, weight, leg length, arm span, thigh circumference, and body mass index (BMI). Triple jump performance was evaluated under standardized field conditions. Using multiple linear regression analysis, the study identified leg length and height as the most significant predictors of jump distance, while BMI showed a negative association. The developed model demonstrated strong predictive accuracy, accounting for 68% of the variance in performance outcomes. These findings emphasize the importance of incorporating physical profiling into youth training programs, allowing coaches and sports scientists to design data-driven strategies for athlete development. The study contributes to performance optimization and talent identification frameworks in youth athletics.