Acute Chronic Workload Ratio (ACWR)
AbstractAs GPS technology has evolved, users now have a wealth of metrics available, from which they can evaluate external load and better inform the athletes’ training process, in conjunction with the coaches (Osullivan, 2021). Lately, efforts have been made for the improvement of data taken from GPS tracking devices through programming, in order to make the handling of data faster and more accurate. Player-tracking data is commonly expressed utilizing player-independent training zones to evaluate the physical output or external loading of each player (Knott, 2021). The potential for athletic injury is present in every training or competition session performed and the injury risk can be increased in case of inappropriate workload exposure. Consequently, there has been growing support for the Acute Chronic Workload Ratio (ACWR) as a method of prescribing appropriate training loads (Bowen et al., 2020). In this work, three-month training datasets from three football players and five-month training datasets from two other football players were used in order to calculate the ACWR of the high stress zones accelerations. This study is part of a broader research in establishing a relationship between measures of external load and mechanical stresses with the aim to shift the performance from measures of limited relevance, to personalized, tissue-specific variables.
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