IMR Press / JOMH / Volume 18 / Issue 6 / DOI: 10.31083/j.jomh1806137
Open Access Original Research
Variations of High-Intensity GPS Derived Measures between Playing Status during a Full Soccer Season in a Professional Male Team
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1 Department of Physiology, School of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain
2 Sports Scientist, Sepahan Football Club, 81887-78473 Isfahan, Iran
3 Department of Exercise Physiology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, 56199-11367 Ardabil, Iran
4 Sports Science School of Rio Maior–Polytechnic Institute of Santarém, 2040-413 Rio Maior, Portugal
5 Department of Physical Education, Sport & Human Movement, Autonomous University of Madrid, 28049 Madrid, Spain
6 Research Centre in Sport Sciences, Health Sciences and Human Development, 5001-801 Vila Real, Portugal
7 Life Quality Research Centre, 2040-413 Rio Maior, Portugal
*Correspondence: (Hadi Nobari); (Rafael Oliveira)
§Current adress: Department of motor performance, Faculty of Physical Education and Mountain Sports, Transilvania University of Braşov, 500068 Braşov, Romania
J. Mens. Health 2022, 18(6), 137;
Submitted: 7 March 2022 | Revised: 6 April 2022 | Accepted: 11 May 2022 | Published: 9 June 2022
(This article belongs to the Special Issue Functional and health development approaches in male athletes)
Copyright: © 2022 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.

Background: This study’s aim was twofold: (i) to compare starters and non-starters on a professional soccer team in terms of variations in training intensity indexes across a season, calculated through total distance, sprint distance, accelerations (Acc), and decelerations (Dec) and (ii) to analyse the relationship between the intensity indexes for each playing status. Methods: Nineteen players (age, 29.4 ± 4.4 years; height, 1.8 ± 0.1 m; body mass, 74.8 ± 2.3 kg) were divided into starters and non-starters and followed for 43 weeks using global positioning systems. Results: Training intensity measures (acute:chronic workload ratio [ACWR], coupled and uncoupled) were higher during the latter stage of the season. Total distance peaked during the mid-season, whereas the highest value for exponentially weighted moving average (EWMA) was recorded later in the season. Interestingly, the EMWA of total distance showed little variation during the season for players of both playing statuses. The EWMA of total distance showed a significant higher value for starters than non-starters (p = 0.036; g = 1.27 [0.31, 2.32]). The interruption in games between week 34 and week 35 due to COVID-19 moved some measures into the injury risk zone — namely, the ACWR coupled of sprint distance and Dec; the ACWR uncoupled of total distance, sprint distance, Acc, Dec; and the EWMA of sprint distance, Acc and Dec. Conclusions: The highest training intensity measures were reported late in the season and were similar between starters and non-starters. Across the season, only one difference between starters and non-starters occurred, revealing that training intensity was properly managed throughout the season regardless of the status of the players.

player status
Fig. 1.
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