Sport, Health and Performance Enhancement Research Centre, Department of Sports Science, Nottingham Trent University, Nottingham, United Kingdom.
Cardiff Metropolitan University, Cardiff, United Kingdom.
PLoS One. 2019 Feb 5;14(2):e0211707. doi: 10.1371/journal.pone.0211707. eCollection 2019.
The purpose of this study was to investigate the effects of playing position, pitch location, team ability and opposition ability on technical performance variables (pass, cross, corner, free kick accuracy) of English Premier League Soccer players in difference score line states. A validated automatic tracking system (Venatrack) was used to code player actions in real time for passing accuracy, cross accuracy, corner accuracy and free kick accuracy. In total 376 of the 380 games played during the 2011-12 English premier League season were recorded, resulting in activity profiles of 570 players and over 35'000 rows of data. These data were analysed using multi-level modelling. Multi-level regression revealed a "u" shaped association between passing accuracy and goal difference (GD) with greater accuracy occurring at extremes of GD e.g., when the score was either positive or negative. The same pattern was seen for corner accuracy away from home e.g., corner accuracy was lowest when the score was close with the lowest accuracy at extremes of GD. Although free kicks were not associated with GD, team ability, playing position and pitch location were found to predict accuracy. No temporal variables were found to predict cross accuracy. A number of score line effects were present across the temporal factors which should be considered by coaches and managers when preparing and selecting teams in order to maximise performance. The current study highlighted the need for more sensitive score line definitions in which to consider score line effects.
本研究旨在调查在不同比分状态下,球员的场上位置、球的位置、球队能力和对手能力对英超足球运动员技术表现变量(传球、传中、角球、任意球精度)的影响。使用验证过的自动跟踪系统(Venatrack)实时记录球员的传球精度、传中精度、角球精度和任意球精度。总共记录了 2011-12 赛季 380 场比赛中的 376 场,生成了 570 名球员和超过 35000 行的数据活动概况。这些数据使用多层次模型进行分析。多层次回归显示传球精度和进球差(GD)之间呈“U”形关联,即在 GD 的极端情况下(例如,当比分是正数或负数时),精度更高。在客场的角球精度也呈现出同样的模式,即比分接近时角球精度最低,在 GD 的极端情况下精度最低。虽然任意球与 GD 无关,但球队能力、场上位置和场地位置被发现可以预测精度。没有发现时间变量可以预测传中精度。在多个时间因素中存在一些比分线效应,教练和经理在准备和选拔球队时应考虑这些因素,以最大限度地提高表现。本研究强调了在考虑比分线效应时,需要更敏感的比分线定义。