Dyson School of Applied Economics and Management, SC Johnson College of Business, Cornell University, Ithaca, New York.
Department of Athletics, Cornell University, Ithaca, New York.
J Strength Cond Res. 2017 Dec;31(12):3253-3259. doi: 10.1519/JSC.0000000000002211.
Kniffin, KM, Howley, T, and Bardreau, C. Putting muscle into sports analytics: strength, conditioning, and ice hockey performance. J Strength Cond Res 31(12): 3253-3259, 2017-Sports analytics is best known as the field of research that focuses on discovering slight but significant improvements within competitions; however, broader sets of athlete- and team-level data from outside competitions (e.g., strength and conditioning metrics) have been typically left out from such analyses. Given that strength and conditioning programs are perhaps the most common avenue through which people expect extra-competition progress to translate into within-competition performance, it is clear that strength and conditioning metrics warrant closer analytic attention. To illustrate this approach, we present a study of National Collegiate Athletic Association (NCAA) Division 1 Men's Ice Hockey players that integrates both (a) strength and conditioning metrics and (b) in-game performance measurements. Bivariate analyses show a significant positive correlation between bench press performance and points scored (r = 0.15), although multivariate analyses point to positive relationships between strength and conditioning measures and playing time as the more important finding. Although within-competition data are increasingly accessible for analytics research, the basic approach that we develop highlights the importance of considering extra-competition variables such as strength and conditioning metrics for understanding both coaching decisions regarding playing time and within-competition performance. We also discuss ways in which the integrated approach that we present offers potential applications for strength and conditioning professionals as well as players, coaches, and team managers.
金夫林、豪利、巴尔德劳。将肌肉力量融入运动分析：力量、体能训练与冰球表现。《力量与训练研究杂志》31 卷 12 期：3253-3259，2017-运动分析是一个以研究比赛中细微但显著的改进而闻名的领域；然而，比赛之外的更广泛的运动员和团队层面的数据（如力量和体能指标）通常被排除在这些分析之外。鉴于力量和体能训练计划可能是人们期望将额外的比赛进步转化为比赛内表现的最常见途径，很明显，力量和体能指标值得更密切的分析关注。为了说明这一方法，我们展示了一项对美国大学体育协会（NCAA）一级男子冰球运动员的研究，该研究整合了（a）力量和体能指标以及（b）比赛中的表现测量。双变量分析显示，卧推表现与得分之间存在显著正相关（r=0.15），尽管多变量分析表明，力量和体能测量与比赛时间之间存在积极关系，这是更重要的发现。尽管比赛内数据越来越容易进行分析研究，但我们发展的基本方法强调了考虑比赛外变量（如力量和体能指标）的重要性，以理解教练关于比赛时间和比赛内表现的决策。我们还讨论了我们提出的综合方法如何为力量和体能专业人员以及运动员、教练和团队管理人员提供潜在的应用。
