首页> 外文期刊>Journal of strength and conditioning research >PUTTING MUSCLE INTO SPORTS ANALYTICS: STRENGTH, CONDITIONING, AND ICE HOCKEY PERFORMANCE
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PUTTING MUSCLE INTO SPORTS ANALYTICS: STRENGTH, CONDITIONING, AND ICE HOCKEY PERFORMANCE

机译:将肌肉放入体育分析:力量,调理和冰球性能

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摘要

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.
机译:体育分析是最为被称为研究领域,专注于发现竞争中的轻微但重要的改进;然而,通常从这些分析中遗漏了来自外部竞争(例如,强度和调理度量)的更广泛的运动员和团队级数据。鉴于强度和调理计划可能是人们预期竞争进展的最常见的大道,显然,实力和调理指标令人信服更紧密地关注。为了说明这种方法,我们展示了对国家大学运动会(NCAA)划分的1名男子冰球运动员的研究,这些球员融合了(a)强度和调理度量和(b)的游戏中的绩效测量。生物分析显示了替补阶段压力性能与得分的重大正相关性(r = 0.15),尽管多变量分析指向强度和调节措施与播放时间之间的积极关系,作为更重要的发现。虽然竞争内部数据越来越多地访问分析研究,但我们开发的基本方法突出了考虑超竞争变量的重要性,如强度和调理指标,以了解关于竞争时间和竞争内部绩效的教练决策。我们还讨论了我们所展示的综合方法提供潜在的实力和调理专业人员以及参与者,教练和团队经理。

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