Department of Sport Science, University of Innsbruck, Innsbruck, Austria.
Institute of Mountain Emergency Medicine, Eurac Research, Bolzano, Italy.
Eur J Sport Sci. 2020 Sep;20(8):1034-1041. doi: 10.1080/17461391.2019.1697374. Epub 2019 Dec 11.
The current study introduces a new index for external and internal workload, "workload efficiency", and assesses in professional soccer the influence of pre-match training load on match workload efficiency. External and internal workloads were determined for 44 training sessions and 16 competitive matches using a 10-Hz global positioning system (GPS) and a 200 Hz accelerometer/heart rate monitor. Training loads were registered from day five (D-5) to day one (D-1) prior to each competitive match. Workload efficiency was calculated for each match as the ratio between overall external and internal load. A multiple stepwise regression analysis (including z-transformed variables) was used to determine training load variables that predict workload efficiency of the following matches. Training load variables of the previous days explained 26.6% of the variance in workload efficiency during the following matches. Long sprinting distance on D-3 and D-4 and total distance on D-1 positively influenced the players' workload efficiency, whereas long training durations and high training load on D-1 showed adverse effects. The present outcomes suggest that including sprint training (high sprinting distance) four and three days prior to a match, may provide a positive stimulus for the subsequent workload efficiency in matches. The negative impact of long training duration and high training load one day before the game highlights the importance of a diligent planning of the immediate competition preparation phase. This study shows that workload efficiency is a useful metric to assess match performance and that body-worn sensor technology can be useful for tailoring training loads.
本研究引入了一个新的外部和内部工作量指标——“工作量效率”,并评估了赛前训练负荷对职业足球比赛中工作量效率的影响。使用 10Hz 全球定位系统(GPS)和 200Hz 加速度计/心率监测仪,对 44 次训练课和 16 场比赛进行了外部和内部工作量的测定。从每个比赛日前的第五天(D-5)到第一天(D-1)记录训练负荷。每场比赛的工作量效率都计算为总外部和内部负荷的比值。采用逐步多元回归分析(包括 z 变换变量)来确定能预测下一场比赛工作量效率的训练负荷变量。前几天的训练负荷变量可以解释下一场比赛中工作量效率变化的 26.6%。D-3 和 D-4 的长冲刺距离和 D-1 的总距离对球员的工作量效率有积极影响,而 D-1 的长训练时间和高训练负荷则有不利影响。本研究结果表明,在比赛前四天和三天进行冲刺训练(高冲刺距离)可能会对随后的比赛工作量效率产生积极影响。比赛前一天的长训练时间和高训练负荷的负面影响突显了精心规划比赛准备阶段的重要性。本研究表明,工作量效率是评估比赛表现的有用指标,而穿戴式传感器技术可用于定制训练负荷。