School of Exercise Science, Australian Catholic University, Strathfield, New South Wales, Australia.
Institute for Health and Sport (IHES), Victoria University, Melbourne, Australia.
PLoS One. 2021 Nov 19;16(11):e0260363. doi: 10.1371/journal.pone.0260363. eCollection 2021.
This study presented a method of quantifying the manoeuvrability of two field-based team sport athletes and investigated its relationship with running velocity during competition. Across a season, 10 Hz Global navigation satellite system (GNSS) devices were worn during matches by 62 athletes (Australian Football League [AFL]; n = 36, 17 matches, National Rugby League [NRL]; n = 26, 21 matches). To quantify manoeuvrability, tortuosity was calculated from the X and Y coordinates from match GNSS files (converted from latitude and longitude). Tortuosity was calculated as 100 x natural logarithm of the chord distance (distance travelled between X and Y coordinates), divided by the straight-line distance. The maximal tortuosity was then quantified for each 0.5 m∙s-1 speed increment, ranging from 0 to the highest value for each game file. A quadratic model was fitted for each match file, controlling for the curvilinear relationship between tortuosity and velocity. A comparison of the quadratic coefficients between sports, and within sport between positions was investigated using linear mixed models. Resulting standard deviations (SDs) and mean differences were then assessed to establish standardized effect sizes (ES) and 90% confidence intervals (CI). A curvilinear relationship exists between maximal tortuosity and running speed, reflecting that as speed increases, athletes' ability to deviate from a linear path is compromised (i.e., run in a more linear path). Compared to AFL, NRL had a greater negative quadratic coefficient (a) (ES = 0.70; 0.47 to 0.93) for the 5 second analysis, meaning that as speed increased, NRL athletes' manoeuvrability reduced at a faster rate than when compared to AFL. There were no positional differences within each sport. GNSS derived information can be used to provide a measure of manoeuvrability tortuosity during NRL and AFL matches. The curvilinear relationship between tortuosity and speed demonstrated that as speed increased, manoeuvrability was compromised.
本研究提出了一种量化两种基于场地的团队运动运动员机动性的方法，并研究了其与比赛中跑动速度的关系。在一个赛季中，62 名运动员（澳大利亚足球联赛 [AFL]；n = 36，17 场比赛；全国橄榄球联盟 [NRL]；n = 26，21 场比赛）在比赛中佩戴了 10 Hz 全球导航卫星系统（GNSS）设备。为了量化机动性，从比赛 GNSS 文件的 X 和 Y 坐标计算出扭曲度（从纬度和经度转换而来）。扭曲度的计算方法是 100 x X 和 Y 坐标之间的弦距（X 和 Y 坐标之间的距离）的自然对数除以直线距离。然后，为每个 0.5 m∙s-1 的速度增量量化最大扭曲度，范围从每个游戏文件的 0 到最高值。为每个比赛文件拟合二次模型，控制扭曲度和速度之间的曲线关系。使用线性混合模型研究了不同运动之间以及同一运动中不同位置之间的二次系数比较。然后评估结果标准差（SD）和均值差异，以确定标准化效应量（ES）和 90%置信区间（CI）。最大扭曲度与跑动速度之间存在曲线关系，反映出随着速度的增加，运动员偏离直线的能力受到限制（即，以更线性的路径奔跑）。与 AFL 相比，NRL 的 5 秒分析的二次系数（a）（ES = 0.70；0.47 至 0.93）更大，这意味着随着速度的增加，NRL 运动员的机动性降低速度比 AFL 更快。每个运动内部没有位置差异。GNSS 衍生信息可用于提供 NRL 和 AFL 比赛中机动性扭曲度的度量。扭曲度和速度之间的曲线关系表明，随着速度的增加，机动性受到限制。
