Esmaeili Alireza, Clifton Patrick, Aughey Robert J
Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia.
Australian Football League (AFL), Melbourne, VIC, Australia.
Front Sports Act Living. 2020 Nov 6;2:579264. doi: 10.3389/fspor.2020.579264. eCollection 2020.
Accurate interpretation of activity profile data requires an understanding of the variables influencing player movement during matches. Over 65,000 stints (player rotations) from all 207 matches of the 2018 Australian Football League (AFL) season were evaluated. The relative activity profile including total distance per minute (TD), high-speed running distance per minute (HSR) and Player Load per minute (PL) was determined for each stint and analysed against a range of match-related, player-related and environment-related predictor variables using multivariate linear mixed modelling. Effect size statistics along with the uncertainty in the estimates (95% confidence interval) were used to interpret the findings. The smallest important effects on TD, HSR, and PL were calculated as 1.5%, 5.5%, and 2.4%, respectively. Stint duration had small to moderate negative effects on TD (-6%), PL (-7.7%), and HSR (-13%), while recovery duration between stints had a small positive effect on HSR (+7%). There were moderate reductions in TD (-8%), HSR (-23%), and PL (-9.6%) in the last quarter compared to the first quarter of matches, while similar reductions existed in subsequent stints compared to the first stint in each quarter. Moderate to large differences of up to 9% in TD, 48% in HSR and 12% in PL existed between positions. The TD of less experienced players was slightly higher than their more experienced counterparts (2-3%). A 5% increase in body mass was associated with a small reduction in HSR (-5.5%). There were small reductions in TD (-2%), HSR (-10%), and PL (-3%) during the Finals Series compared to the Premiership Season. Moderate levels of rainfall during matches and higher apparent temperatures had small negative effects on TD (-2%) and HSR (-6 and -9%). The number of days break between matches, score margin, match outcome, ground hardness, ground size, and traveling for the current or the previous match had trivial effects on the activity profile. Player position and stage of the match (quarter) had the largest effects on match activity profile while stint duration, recovery duration, stint timing, professional experience, body mass, stage of the season, and weather conditions also had substantial effects.
准确解读活动概况数据需要了解影响比赛期间球员移动的变量。对2018年澳大利亚足球联赛（AFL）赛季所有207场比赛中的65000多个时段（球员轮换）进行了评估。确定了每个时段的相对活动概况，包括每分钟总距离（TD）、每分钟高速奔跑距离（HSR）和每分钟球员负荷（PL），并使用多元线性混合模型针对一系列与比赛相关、与球员相关和与环境相关的预测变量进行分析。效应量统计以及估计值的不确定性（95%置信区间）用于解释研究结果。对TD、HSR和PL的最小重要影响分别计算为1.5%、5.5%和2.4%。时段持续时间对TD（-6%）、PL（-7.7%）和HSR（-13%）有小到中等程度的负面影响，而时段之间的恢复持续时间对HSR有小的正面影响（+7%）。与比赛的第一节相比，最后一节的TD（-8%）、HSR（-23%）和PL（-9.6%）有中等程度的下降，而与每节的第一节相比，后续时段也有类似的下降。不同位置之间的TD差异为9%、HSR差异为48%、PL差异为12%，存在中等至较大的差异。经验不足的球员的TD略高于经验更丰富的球员（2-3%）。体重增加5%与HSR略有下降（-5.5%）相关。与常规赛赛季相比，决赛系列赛期间的TD（-2%）、HSR（-10%）和PL（-3%）有小幅下降。比赛期间中等降雨量和较高的表观温度对TD（-2%）和HSR（-6%和-9%）有小的负面影响。比赛之间的休息天数、比分差距、比赛结果、场地硬度、场地大小以及当前或上一场比赛的行程对活动概况的影响微不足道。球员位置和比赛阶段（节）对比赛活动概况的影响最大，而时段持续时间、恢复持续时间、时段时间、专业经验、体重、赛季阶段和天气条件也有重大影响。
