Mann J Bryan, Cowley Nicholas, Weakley Jonathon
Department of Kinesiology and Sports Management, Sydney and JL Huffines Institute for Sports Medicine and Human Performance, Texas A&M University, College Station, Texas.
School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia.
J Strength Cond Res. 2025 Jan 1;39(1):41-47. doi: 10.1519/JSC.0000000000004944. Epub 2024 Sep 17.
Mann, JB, Cowley, N, and Weakley, J. The role of speed, change of direction, and momentum by position and starting status in Division 1 collegiate football players. J Strength Cond Res 39(1): 41-47, 2025-This study (a) investigated differences between big, mid, and skill positions in sprint and change of direction times and momentum; (b) compared starting and nonstarting athletes; and (c) investigated whether thresholds can be developed to distinguish between starting and nonstarting Division 1 collegiate football athletes. Data from 496 collegiate football players who completed the 40-yard dash, pro-agility, and L drill were analyzed. Momentum was calculated using body mass and the average velocity during each test. To assess differences between positions and starters and nonstarters, data were analyzed using linear mixed models with effect size ±95% confidence intervals. Receiver operating characteristic (ROC) curves were generated to determine whether a cutoff value could be used to distinguish starters from nonstarters. Significant differences for both time and momentum were found between positional groups and starters and nonstarters for all tests in all positions. Starting skill position players tended to have greater differences in sprint or change of direction times and starting big players had greater sprint momentum. However, it should be noted that all ROC curves demonstrated relatively poor predictive value. Collectively, these findings demonstrate that bigger, faster players are preferentially selected in collegiate Division 1 football and there may be value in coaches collecting and assessing different outcome measures (e.g., sprint times and sprint momentum) depending on the positional group of the player. Finally, it should be acknowledged that setting binary thresholds to guide selection decisions is ill-advised and that speed, change of direction, and momentum are only one piece of the performance puzzle.
曼恩、JB、考利、N和韦克利、J。速度、方向变化以及位置和起始状态对动量的影响在一级大学橄榄球运动员中的作用。《力量与体能研究杂志》39(1): 41 - 47，2025年——本研究(a)调查了大型、中型和技巧型位置在短跑、方向变化时间和动量方面的差异；(b)比较了首发和非首发运动员；(c)研究是否可以制定阈值来区分一级大学橄榄球首发和非首发运动员。对496名完成40码冲刺、职业敏捷性测试和L型训练的大学橄榄球运动员的数据进行了分析。动量通过体重和每次测试期间的平均速度来计算。为了评估位置、首发球员和非首发球员之间的差异，使用具有效应大小±95%置信区间的线性混合模型对数据进行了分析。生成了受试者工作特征(ROC)曲线，以确定是否可以使用临界值来区分首发球员和非首发球员。在所有位置的所有测试中，位置组以及首发球员和非首发球员之间在时间和动量上均发现了显著差异。首发技巧型位置球员在短跑或方向变化时间上往往有更大差异，而首发大型球员有更大的短跑动量。然而，应该注意的是，所有ROC曲线的预测价值都相对较差。总体而言，这些发现表明，在大学一级橄榄球中，体型更大、速度更快的球员更受青睐，教练根据球员的位置组收集和评估不同的结果指标(如短跑时间和短跑动量)可能有价值。最后，应该认识到，设定二元阈值来指导选拔决策是不明智的，速度、方向变化和动量只是表现难题的一部分。
