Abstract

How to Use Global Positioning Systems (GPS) Data to Monitor Training Load in the "Real World" of Elite Soccer.

Highlights

  • Modern physical training in elite sport is characterized by the systematic and continuous assessment of data on competitive and training performances (Clemente et al, 2019a)

  • The total distance covered, the distance covered at high-speed running (HSR) measured between 19.8 and 24.8 km/h, the distance covered at sprint running (SPR) measured over 25.2 km/h, the specific maximal speed, the number of accelerations (≥3 m/s2), and the number of decelerations (≤ −3 m/s2) seem to be relevant Global Positioning Systems (GPS) parameters to monitor the external training load (TL) in professional soccer (Akenhead et al, 2016; Varley et al, 2017; Malone et al, 2019)

  • High speed running, or sprint running related to the time reflect the intensity and are used to design specific training sessions [e.g., rehabilitation sessions (Taberner et al, 2019)] and to delineate their specificity

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Summary

INTRODUCTION

Modern physical training in elite sport is characterized by the systematic and continuous assessment of data on competitive and training performances (Clemente et al, 2019a). A “danger zone” for an increased injury risk has been suggested to exist when the ACWR is between 0.8 and 1.5 (Gabbett, 2016) This means that when the acute load is 1.5 times the chronic training load, the injury risk increases during the subsequent week (Gabbett, 2016). Under this situation, it seems that the injury risk can be modified by high levels of aerobic fitness, greater lower body strength, a reduced history of injuries, and a younger age of the soccer players (Malone et al, 2018a; Gabbett, 2020). It is important to expose each player to individual external TL to enhance physical performance and lower the risk of sustaining injuries

RELEVANT PARAMETERS FROM GLOBAL POSITIONING SYSTEM DATA
GPS parameters
MO Acc
PLANNING THE TRAINING LOAD FOR THE WHOLE TEAM WHILE RESPECTING INDIVIDUALIZATION
Scheduled Plans With Reference to Games Performance
GD Total distance
Findings
CONCLUSIONS
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