Using K-means Clustering to Create Training Groups for Elite American Football Student-athletes Based on Game Demands
Using K-means Clustering to Create Training Groups for Elite American Football Student-athletes Based on Game Demands
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使用K-means聚类根据比赛需求为精英美式橄榄球学生运动员创建训练组
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Corey Bichey
中科院分区：
文献类型：
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作者：
Zachary Shelly;Reuben F. Burch;Wenmeng Tian;Lesley J. Strawderman;A. Piroli;Corey Bichey
背景：美式足球和参与的运动员自这项运动开始以来一直在不断发展。这项运动的流动性，以及与美式足球有关的知识体系的增长，需要不断发展的训练技术。虽然精英级别的体育组织正在以非常高的速度收集性能数据，但数据价值的限制因素可能是数据的有限已知用途。目的：这项研究介绍了一种技术，可以与从可穿戴技术收集的数据结合使用，以更好地为训练决策提供信息。方法：K-means聚类技术被用来对来自NCAA第一组美国橄榄球队的两个赛季的数据进行分组，该球队是“Power 5”。这些数据是使用Catapult Sports OPTIMEYE S5 TM在仅与其他“Power 5”程序进行的比赛中获得的。然后，这些数据被用来创建每个学生运动员的平均游戏需求，然后根据前面提到的个人游戏需求创建训练组。结果如下：从第一和第二赛季的单赛季分析中得出的分组结果与美式足球训练中使用的传统分组相似，这是对结果的验证，同时也为可能需要考虑在非传统组中训练的个人提供了见解。结论：这种技术可以被带到“运动训练”中，并在任何处理训练大量运动员的组织中都是有用的。
Background: American football and the athletes that participate have continually evolved since the sport’s inception. The fluidity of the sport, as well as the growth of the body of knowledge pertaining to American football, requires evolving training techniques. While performance data is being garnered at very high rates by elite level sports organizations, the limiting factor to the value of data can be the limited known uses for the data. Objective: This study introduces a technique that can be used in tandem with data collected from wearable technology to better inform training decisions. Method: The K-means clustering technique was used to group athletes from two seasons worth of data from an NCAA Division 1 American football team that is in the “Power 5.” The data was obtained using Catapult Sports OPTIMEYE S5 TM in games played against only other “Power 5” programs. This data was then used to create average game demands of each student-athlete, which was then used to create training groups based upon individual game demands as previously mentioned. Results: The resultant groupings from the single-season analyses of seasons one and two showed results that were similar to traditional groupings used for training in American football, which worked as validation of the results, while also offering insights on individuals that may need to consider training in a non-traditional group based upon their game demands. Conclusion: This technique can be brought to `athletic training and be useful in any organization that is dealing with training multitudes of athletes.