Abstract
Commentary The maximum workload range (max range) is a concept suggested by Sanders et al.1 regarding a method used to prescribe adequate practice workloads based off wearable technology data. The max range is calculated as follows from game data: Max Range = (Mean Total Distance + 1 St. Dev.) to (Maximum Total Distance) While the example provided utilizes total distance, the max range can be applied to key performance indicators such as high-speed distance, training load, jumps, etc. that are tracked throughout the competitive season in team sports. The max range concept was developed from research that found 12-17% of the time, football athletes, depending on position, accumulated game workloads outside their position’s mean + 1SD. Anecdotally, many coaches and practitioners use simple game averages as a control for ideal practice volumes. Based on previous research, using the game average as control training threshold may result in some high performing athletes being under-conditioned. It is reasonable to suggest that potential compound effects may occur throughout an entire season if athletes are not engaging in rigorous training loads that mimic game-like volumes and intensities. Figure 1. Theoretical football periodization structure for a defensive back using the max range for high intensity training days.
Highlights
Commentary The maximum workload range is a concept suggested by Sanders et al.[1] regarding a method used to prescribe adequate practice workloads based off wearable technology data
While the example provided utilizes total distance, the max range can be applied to key performance indicators such as high-speed distance, training load, jumps, etc. that are tracked throughout the competitive season in team sports
It is reasonable to suggest that potential compound effects may occur throughout an entire season if athletes are not engaging in rigorous training loads that mimic game-like volumes and intensities
Summary
Commentary The maximum workload range (max range) is a concept suggested by Sanders et al.[1] regarding a method used to prescribe adequate practice workloads based off wearable technology data. While the example provided utilizes total distance, the max range can be applied to key performance indicators such as high-speed distance, training load, jumps, etc. The max range concept was developed from research that found 12-17% of the time, football athletes, depending on position, accumulated game workloads outside their position’s mean + 1SD 1. Based on previous research, using the game average as control training threshold may result in some high performing athletes being under-conditioned[1,2,3]. It is reasonable to suggest that potential compound effects may occur throughout an entire season if athletes are not engaging in rigorous training loads that mimic game-like volumes and intensities. A case study on an NCAA Division I volleyball athlete found that in losing performances, excessive high intensity jumps in practices
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