This study aimed to develop the optimal allometric body size/shape and a biological maturity model that predicted the change of direction (CoD) mean speed performance in youth male soccer players. One-hundred and fifteen youth soccer players (age: 12.4 [1.3] y) participated in this study. The 505 test was used to assess CoD mean speed performance. Anthropometric measurements comprised body height (cm), sitting height (cm), body mass (kg), fat mass (kg), lower limb length (cm), thigh length (cm), leg length (cm), foot length (cm), thigh girth (cm), and calf girth (cm). The maturity status was determined based on the maturity offset method. To identify size/shape and maturity characteristics associated with CoD speed performance, we computed a multiplicative allometric log-linear regression model, which was refined using backward elimination. The multiplicative allometric model exploring the association between 505 CoD mean speed performance and the different anthropometric characteristics in youth soccer players estimated that fat mass (P < .001), sitting height (P = .02), and maturity offset (P = .004) are the key predictors. More specifically, youths who are more mature and have a lower fat mass and a shorter trunk length, are likely to achieve a better CoD mean speed performance. These findings highlight the relevance of considering anthropometric and maturity characteristics in youth soccer players to support talent identification.

本研究旨在开发最佳异速生长体型/体型和生物成熟度模型，预测青年男子足球运动员的方向变化 (CoD) 平均速度表现。115 名青少年足球运动员（年龄：12.4 [1.3] 岁）参与了这项研究。505 测试用于评估 CoD 平均速度性能。人体测量数据包括身高（cm）、坐高（cm）、体重（kg）、脂肪量（kg）、下肢长（cm）、大腿长（cm）、腿长（cm）、脚长（cm） )、大腿围 (cm) 和小腿围 (cm)。到期状态采用到期抵消法确定。为了确定与 CoD 速度性能相关的大小/形状和成熟度特征，我们计算了一个乘法异速生长对数线性回归模型，该模型使用向后消除法进行了改进。P  < .001)、坐高 ( P  = .02) 和成熟度偏差 ( P  = .004) 是关键预测因素。更具体地说，更成熟、脂肪量更少、躯干长度更短的年轻人可能会获得更好的 CoD 平均速度表现。这些发现强调了考虑青年足球运动员的人体测量学和成熟度特征以支持人才识别的相关性。