揭开篮球运动成绩的神秘面纱:从七支美国国家大学生体育协会(NCAA)一级五强男子大学生篮球队中得出的受力板反向运动跳跃标准参考值

Drake Berberet, Adam Petway, Karah Bell, Zack Gillen, Peter Mundy, Henry Barrera, Jason Kabo, Dom Walker, Garrett Medenwald, Braden Welsh, John Mcmahon
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引用次数: 0

摘要

本研究开创性地建立了霍金动力公司(Hawkin Dynamics)双无线测力板上反向移动跳跃(CMJ)指标的标准基准,研究对象是大量(n = 96)NCAA 一级联盟(DI)五强男子大学生篮球队(MCBB)球员。该队列包括 4 名中锋(年龄 = 20.01 ± 1.31 岁,身高 = 216.32 ± 5.27 厘米,体重 = 115.11 ± 16.13 千克)、37 名前锋(年龄 = 21.09 ± 1.68 岁,身高 = 203.84 ± 5.45 厘米,体重 = 103.67 ± 10.42 千克)和 55 名后卫(年龄 = 20.92 ± 1.54 岁,网站身高 = 190.49 ± 7.44 厘米,平板体重 = 87.04 ± 6.98 千克),他们来自 7 支球队,在 2023-2024 赛季的季前赛期间进行了 3 次双手叉腰 CMJ 试验,时间跨度为 26 天,测试地点为 7 个。所有数据均由一名指定的测试员统一收集,该测试员在所有测试地点执行统一的指令、程序和设备。对比正方和守方,45%(18/40)的报告指标显示出显著性(p < 0.05),35%(14/40)的指标显示出中等偏上的效应大小(例如,> 0.50)。此外,还提供了带有定性描述和交通灯系统的百分位数(第 3-97 位)。这些标准数据可作为教练、球探和球员的宝贵参考点,有助于评估个人和团队的表现,同时还可指导制定针对 NCAA DI MCBB 需求的定制力量和调节策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unlocking Basketball Athletic Performance: Force Plate-Derived Countermovement Jump Normative Reference Values From Seven NCAA Division-I Power Five Men’s College Basketball Teams
This study represents a pioneering effort in establishing normative benchmarking for countermovement jump (CMJ) metrics on Hawkin Dynamics dual wireless force plate within a substantial cohort (n = 96) of NCAA Division-I (DI) Power Five Men’s College Basketball (MCBB) players. This cohort comprised four centers (age = 20.01 ± 1.31 years, height on website = 216.32 ± 5.27 cm, body mass on plates = 115.11 ± 16.13 kg), 37 forwards (age = 21.09 ± 1.68 years, height on website = 203.84 ± 5.45 cm, body mass on plates = 103.67 ± 10.42), and 55 guards (age = 20.92 ± 1.54 years, height on website = 190.49 ± 7.44 cm, body mass on plates = 87.04 ± 6.98 kg) from seven teams that performed three CMJ trials with hands on hips during the pre-season period of the 2023-2024 season over a span of 26 days and seven testing sites. All data was uniformly collected by a single designated tester who implemented consistent instructions, procedures, and equipment at all test sites. Comparing forwards and guards, 45% (18/40) of the reported metrics showed significance (p < 0.05) and 35% (14/40) yielded moderate-large effect sizes (e.g., > 0.50). Additionally, percentiles (3-97th) with qualitative descriptors and a traffic light system were provided. Such normative data can serve as a valuable reference point for coaches, scouts, and players alike, facilitating the evaluation of both individual and team performance while also guiding the development of tailored strength and conditioning strategies specific to the demands of NCAA DI MCBB.
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