Variations of High-Intensity GPS Derived Measures between Playing Status during a Full Soccer Season in a Professional Male Team
1Department of Physiology, School of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain
2Sports Scientist, Sepahan Football Club, 81887-78473 Isfahan, Iran
3Department of Exercise Physiology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, 56199-11367 Ardabil, Iran
4Sports Science School of Rio Maior–Polytechnic Institute of Santarém, 2040-413 Rio Maior, Portugal
5Department of Physical Education, Sport & Human Movement, Autonomous University of Madrid, 28049 Madrid, Spain
6Research Centre in Sport Sciences, Health Sciences and Human Development, 5001-801 Vila Real, Portugal
7Life Quality Research Centre, 2040-413 Rio Maior, Portugal
DOI: 10.31083/j.jomh1806137 Vol.18,Issue 6,June 2022 pp.1-11
Published: 30 June 2022
§ The author’s own special request.
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
ACWR; EWMA; coupled; uncoupled; GPS; sprint; acceleration; deceleration; player status
Hadi Nobari,Roghayyeh Gholizadeh,Alexandre Duarte Martins,Ricardo De la Vega,Rafael Oliveira. Variations of High-Intensity GPS Derived Measures between Playing Status during a Full Soccer Season in a Professional Male Team. Journal of Men's Health. 2022. 18(6);1-11.
 Akenhead R, Nassis GP. Training Load and Player Monitoring in High-Level Football: Current Practice and Perceptions. Inter-national Journal of Sports Physiology and Performance. 2016; 11: 587–593.
 Burgess DJ. The research doesn’t always apply: practical solu-tions to evidence-based training-load monitoring in elite team sports. International Journal of Sports Physiology and Perfor-mance. 2017; 12: S2-136-S2-41.
 West SW, Clubb J, Torres-Ronda L, Howells D, Leng E, Vescovi JD, et al. More than a Metric: how Training Load is used in Elite Sport for Athlete Management. International Journal of Sports Medicine. 2021; 42: 300–306.
 Staunton CA, Abt G, Weaving D, Wundersitz DWT. Misuse of the term ‘load’ in sport and exercise science. Journal of Science and Medicine in Sport. 2021; 25: 439–444.
 Windt J, Gabbett TJ. Is it all for naught? what does mathemat-ical coupling mean for acute:chronic workload ratios? British Journal of Sports Medicine. 2019; 53: 988–990.
 Williams S, West S, Cross MJ, Stokes KA. Better way to deter-mine the acute:chronic workload ratio? British Journal of Sports Medicine. 2017; 51: 209–210.
 Hulin BT, Gabbett TJ, Lawson DW, Caputi P, Sampson JA. The acute:chronic workload ratio predicts injury: high chronic workload may decrease injury risk in elite rugby league players. British Journal of Sports Medicine. 2016; 50: 231–236
 Gabbett TJ, Hulin BT, Blanch P, Whiteley R. High training workloads alone do not cause sports injuries: how you get there is the real issue. British Journal of Sports Medicine. 2016; 50: 444–445.
 Fanchini M, Rampinini E, Riggio M, Coutts AJ, Pecci C, McCall A. Despite association, the acute:chronic work load ratio does not predict non-contact injury in elite footballers. Science and Medicine in Football. 2018; 2: 108–114.
 Impellizzeri FM, Tenan MS, Kempton T, Novak A, Coutts AJ. Acute:Chronic Workload Ratio: Conceptual Issues and Funda-mental Pitfalls. International Journal of Sports Physiology and Performance. 2020; 15: 907–913.
 Nobari H, Castillo D, Clemente FM, Carlos-Vivas J, Pérez-Gómez J. Acute, chronic and acute/chronic ratio between starters and non-starters professional soccer players across a competi-tive season. Proceedings of the Institution of Mechanical Engi-neers, Part P: Journal of Sports Engineering and Technology. 2021; 17543371211016594.
 Nobari H, Silva R, Manuel Clemente F, Oliveira R, Carlos-Vivas J, Pérez-Gómez J. Variations of external workload across a soc-cer season for starters and non-starters. Proceedings of the Insti-tution of Mechanical Engineers, Part P: Journal of Sports Engi-neering and Technology. 2021; 17543371211039297.
 Oliveira R, Palucci Vieira LH, Martins A, Brito JP, Nalha M, Mendes B, et al. In-season internal and external workload vari-ations between starters and non-starters—a case study of a top elite european soccer team. Medicina. 2021; 57: 645.
 Nobari H, Vahabidelshad R, Pérez-Gómez J, Ardigò LP. Varia-tions of training workload in micro-and meso-cycles based on position in elite young soccer players: a competition season study. Frontiers in Physiology. 2021; 12: 529.
 Martins AD, Oliveira R, Brito JP, Loureiro N, Querido SM, No-bari H. Intra-season variations in workload parameters in eu-rope’s elite young soccer players: A comparative pilot study be-tween starters and non-starters. Healthcare. 2021; 9: 977.
 Nobari H, Oliveira R, Clemente FM, Adsuar JC, Pérez-Gómez J, Carlos-Vivas J, et al. Comparisons of accelerometer variables training monotony and strain of starters and non-starters: a full-season study in professional soccer players. International Jour-nal of Environmental Research and Public Health. 2020; 17: 6547.
 Nobari H, Oliveira R, Siahkouhian M, Pérez-Gómez J, Cazan F, Ardigò LP. Variations of accelerometer and metabolic power global positioning system variables across a soccer season: A within-group study for starters and non-starters. Applied Sci-ences. 2021; 11: 6747.
 Nobari H, Sögüt M, Oliveira R, Perez-Gomez J, Suzuki K, Zouhal H. Wearable inertial measurement unit to accelerometer-based training monotony and strain during a soccer season: A within-group study for starters and non-starters. International Journal of Environmental Research and Public Health. 2021; 18: 8007.
 Clemente FM, Mendes B, Nikolaidis PT, Calvete F, Carriço S, Owen AL. Internal training load and its longitudinal relation-ship with seasonal player wellness in elite professional soccer. Physiology & Behavior. 2017; 179: 262–267.
 Nobari H, Praça GM, Clemente FM, Pérez-Gómez J, Car-los Vivas J, Ahmadi M. Comparisons of new body load and metabolic power average workload indices between starters and non-starters: a full-season study in professional soccer players. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology. 2021; 235: 105–113.
 Williams J, Tessaro E. Validity and reliability of a 15 Hz GPS Device for court-based sports movements. Sport Performance & Science Reports. 2018; 1: 1–4.
 Kelly SJ, Murphy AJ, Watsford ML, Austin D, Rennie M. Reli-ability and Validity of Sports Accelerometers during Static and Dynamic Testing. International Journal of Sports Physiology and Performance. 2015; 10: 106–111.
 Akenhead R, French D, Thompson KG, Hayes PR. The acceler-ation dependent validity and reliability of 10Hz GPS. Journal of Science and Medicine in Sport. 2014; 17: 562–566.
 Impellizzeri F, Woodcock S, Coutts AJ, Fanchini M, McCall A, Vigotsky A. Acute to random workload ratio is ‘as’ associated with injury as acute to actual chronic workload ratio: time to dismiss ACWR and its components. SportRxiv Preprits. 2020.(in press)
 Dalen-Lorentsen T, Bjørneboe J, Clarsen B, Vagle M, Fager-land MW, Andersen TE. Does load management using the acute:chronic workload ratio prevent health problems? A clus-ter randomised trial of 482 elite youth footballers of both sexes. British Journal of Sports Medicine. 2021; 55: 108–114.
 Myers NL, Aguilar KV, Mexicano G, Farnsworth JL, Knudson D, Kibler WB. The Acute:Chronic Workload Ratio is Associ-ated with Injury in Junior Tennis Players. Medicine & Science in Sports & Exercise. 2020; 52: 1196–1200.
 Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progres-sive Statistics for Studies in Sports Medicine and Exercise Sci-ence. Medicine & Science in Sports & Exercise. 2009; 41: 3–12.
 Dupont G, Nedelec M, McCall A, McCormack D, Berthoin S, Wisløff U. Effect of 2 Soccer Matches in a Week on Physical Performance and Injury Rate. The American Journal of Sports Medicine. 2010; 38: 1752–1758.
 Murray NB, Gabbett TJ, Townshend AD, Blanch P. Calculat-ing acute:chronic workload ratios using exponentially weighted moving averages provides a more sensitive indicator of in-jury likelihood than rolling averages. British Journal of Sports Medicine. 2017; 51: 749–754.
 Cohen J, Cohen P. Applied multivariate regression/’correlaticot analysis for the behavioral sciences. John Wiley: New York. 1983.
 Rampinini E, Impellizzeri FM, Castagna C, Azzalin A, Bravo DF, Wisløff U. Effect of Match-Related Fatigue on Short-Passing Ability in Young Soccer Players. Medicine & Science in Sports & Exercise. 2008; 40: 934–942.
 Oliveira R, Ceylan H Brito JP, Martins A, Nalha M, Mendes B, et al. Within- and between-mesocycle variations of well-being measures in top elite male soccer players: a longitudinal study. Journal of Men’s Health. 2022; 18: 94.
 Windt J, Gabbett TJ, Ferris D, Khan KM. Training load–injury paradox: is greater preseason participation associated with lower in-season injury risk in elite rugby league players? British Jour-nal of Sports Medicine. 2017; 51: 645–650.
 Silva R, Nobari H. Match-to-match variations in external load measures during congested weeks in professional male soccer players. Journal of Men’s Health. 2021; 17: 207–217.
 Clemente FM, Silva R, Arslan E, Aquino R, Castillo D, Mendes B. The effects of congested fixture periods on distance-based workload indices: A full-season study in professional soccer players. Biology of Sport. 2021; 38: 37–44.
 Aquino R, Gonçalves LG, Galgaro M, Maria TS, Rostaiser E, Garcia GR, et al. Mach running performance in Brazilian pro-fessional soccer players: comparisons between successful and unsuccessful teams. BMC Sports Science, Medicine & Rehabil-itation. 2021; 13: 93.
 Gabbett TJ, Hulin B, Blanch P, Chapman P, Bailey D. To cou-ple or not to couple? For acute: chronic workload ratios and injury risk, does it really matter? International Journal of Sports Medicine. 2019; 40: 597–600.
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