Subscribe to RSS
DOI: 10.1055/a-1289-9059
A New Approach for Training-load Quantification in Elite-level Soccer: Contextual Factors
Abstract
The aims of this study were to analyse the physical responses of professional soccer players during training considering the contextual factors of match location, season period, and quality of the opposition; and to establish prediction models of physical responses during training sessions. Training data was obtained from 30 professional soccer players from Spanish La Liga using global positioning technology (N=1365 performances). A decreased workload was showed during training weeks prior to home matches, showing large effects in power events, equivalent distance, total distance, walk distance and low-speed running distance. Also, the quality of the opposition also affected the training workload (p<0.05). All regression-models showed moderate effects, with an adjusted R2 of 0.37 for metabolic-work, 0.34 for total distance covered, 0.25 for high-speed running distance (18–21 km·h−1), 0.29 for very high-speed running distance (21–24 km·h−1), 0.22 for sprint running distance (>24 km·h−1) and 0.34 for equivalent distance. The main finding of this study was the great association of match location, season period and quality of opposition on the workload performed by players in the training week before the match; and the development of workload prediction-models considering these contextual factors, thus proposing a new and innovative approach to quantify the workload in soccer.
Publication History
Received: 18 May 2020
Accepted: 29 September 2020
Article published online:
15 December 2020
© 2020. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
-
References
- 1 Kattuman P, Loch C, Kurchian C. Management succession and success in a professional soccer team. PLoS One 2019; 14: e0212634 DOI: 10.1371/journal.pone.0212634.
- 2 Hughes MD, Bartlett RM. The use of performance indicators in performance analysis. J Sports Sci 2002; 20: 739-754 DOI: 10.1080/026404102320675602.
- 3 Paul DJ, Bradley PS, Nassis GP. Factors affecting match running performance of Elite Soccer Players: Shedding some light on the complexity. Int J Sports Physiol Perform 2015; 10: 516-519 DOI: 10.1123/ijspp.2015-0029.
- 4 Bradley PS, Archer DT, Hogg B. et al. Tier-specific evolution of match performance characteristics in the English Premier League: It’s getting tougher at the top. J Sports Sci 2016; 34: 980-987 DOI: 10.1080/02640414.2015.1082614.
- 5 Dellal A, Lago-Peñas C, Rey E. et al. The effects of a congested fixture period on physical performance, technical activity and injury rate during matches in a professional soccer team. Br J Sports Med 2015; 49: 390-394 DOI: 10.1136/bjsports-2012-091290.
- 6 Di Prampero PE, Osgnach C. Metabolic Power in Team Sports - Part 1: An Update. Int J Sports Med 2018; 39: 581-587 DOI: 10.1055/a-0592-7660.
- 7 Ehrmann FE, Duncan CS, Sindhusake D. et al. GPS and Injury prevention in professional soccer. J strength Cond Res 2016; 30: 360-367 DOI: 10.1519/JSC.0000000000001093.
- 8 Malone JJ, Lovell R, Varley MC. et al. Unpacking the black box: applications and considerations for using GPS devices in sport. Int J Sports Physiol Perform 2017; 12: S218-S226 DOI: 10.1123/ijspp.2016-0236.
- 9 Cardinale M, Varley MC. Wearable Training-Monitoring Technology: Applications, challenges, and opportunities. Int J Sports Physiol Perform 2017; 12: S255-S262 DOI: 10.1123/ijspp.2016-0423.
- 10 Nassis GP, Gabbett TJ. Is workload associated with injuries and performance in elite football? A call for action. Br J Sports Med 2017; 51: 486-487 DOI: 10.1136/bjsports-2016-095988.
- 11 Osgnach C, Poser S, Bernardini R. et al. Energy cost and metabolic power in elite soccer: A new match analysis approach. Med Sci Sports Exerc 2010; 42: 170-178 DOI: 10.1249/MSS.0b013e3181ae5cfd.
- 12 Lago-Peñas C, Rey E, Lago-Ballesteros J. et al. The influence of a congested calendar on physical performance in elite soccer. J Strength Cond Res 2011; 25: 2111-2117 DOI: 10.1519/JSC.0b013e3181eccdd2.
- 13 Mohr M, Krustrup P, Bangsbo J. Match performance of high-standard soccer players with special reference to development of fatigue. J Sports Sci 2003; 21: 519-528 DOI: 10.1080/0264041031000071182.
- 14 Rampinini E, Coutts AJ, Castagna C. et al. Variation in top level soccer match performance. Int J Sports Med 2007; 28: 1018-1024 DOI: 10.1055/s-2007-965158.
- 15 Castellano J, Blanco-Villaseñor A, Álvarez D. Contextual variables and time-motion analysis in soccer. Int J Sports Med 2011; 32: 415-421 DOI: 10.1055/s-0031-1271771.
- 16 Martín-López Á, Mendes RS, Castillo-Rodríguez A. Internal and external loads in training week before the competition in u19 high-level soccer players. J Strength Cond Res 2018; DOI: 10.1519/JSC.0000000000002975.
- 17 Martín-García A, Gómez Díaz A, Bradley PS. et al. Quantification of a professional football team’s external load using a microcycle structure. J Strength Cond Res 2018; 32: 3511-3518 DOI: 10.1519/jsc.0000000000002816.
- 18 Owen AL, Djaoui L, Newton M. et al. A contemporary multi-modal mechanical approach to training monitoring in elite professional soccer. Science and Medicine in Football 2017; 1: 216-221
- 19 Malone S, Owen AL, Mendes B. et al. High-speed running and sprinting as an injury risk factor in soccer: Can well-developed physical qualities reduce the risk?. J Sci Med Sport 2017; 21: 257-262 DOI: 10.1016/j.jsams.2017.05.016.
- 20 Lago-Peñas C. The role of situational variables in analysing physical performance in soccer. J Hum Kinet 2012; 35: 89-95 DOI: 10.2478/v10078-012-0082-9.
- 21 Lago-Peñas C. The influence of match location, quality of opposition, and match status on possession strategies in professional association football. J Sports Sci 2009; 27: 1463-1469 DOI: 10.1080/02640410903131681.
- 22 Chmura P, Konefał M, Chmura J. et al. Match outcome and running performance in different intensity ranges among elite soccer players. Biol Sport 2018; 35: 197-203 DOI: 10.5114/biolsport.2018.74196.
- 23 Lago-Peñas C, Lago-Ballesteros J, Dellal A. et al. Game-related statistics that discriminated winning, drawing and losing teams from the Spanish soccer league. J Sports Sci Med 2010; 9: 288-293
- 24 Castellano J, Casamichana D, Lago C. The use of match statistics that discriminate between successful and unsuccessful soccer teams. J Hum Kinet 2012; 31: 139-147 DOI: 10.2478/v10078-012-0015-7.
- 25 Brito J, Hertzog M, Nassis GP. Do match-related contextual variables influence training load in highly trained soccer players?. J Strength Cond Res 2016; 30: 393-399 DOI: 10.1519/JSC.0000000000001113.
- 26 Rago V, Rebelo A, Krustrup P. et al. Contextual variables and training load throughout a competitive period in a top-level male soccer team. J Strength Cond Res 2019; DOI: 10.1519/JSC.0000000000003258.
- 27 Malone J, Di Michele R, Morgans R. et al. Seasonal training-load quantification in elite English premier league soccer players. Int J Sports Physiol Perform 2015; 10: 489-497 DOI: 10.1123/ijspp.2014-0352.
- 28 Owen AL, Dunlop G, Rouissi M. et al. Analysis of positional training loads (ratings of perceived exertion) during various-sided games in European professional soccer players. Int J Sport Sci Coach 2016; 11: 374-381 DOI: 10.1177/1747954116644064.
- 29 Owen AL, Lago-Peñas C, Gómez MÁ. et al. Analysis of a training mesocycle and positional quantification in elite European soccer players. Int J Sport Sci Coach 2017; 12: 665-676 DOI: 10.1177/1747954117727851.
- 30 Harriss DJ, Macsween A, Atkinson G. Ethical standards in sport and exercise science research: 2020 update. Int J Sports Med 2019; 40: 813-817
- 31 Polglaze T, Hoppe MW. Metabolic Power: A step in the right direction for team sports. Int J Sports Physiol Perform 2019; 14: 407-411
- 32 Altman DG. Practical Statistics for Medical Research. CRC press; 1990
- 33 Hopkins WG, Marshall SW, Batterham AM. et al. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 2009; 41: 3-12 DOI: 10.1249/MSS.0b013e31818cb278.
- 34 Cohen J. Statistical Power Analysis for the Behavioral Sciences. Routledge; 1988
- 35 Coe R, Merino C. Magnitud del efecto: Una guía para investigadores y usuarios. Revista de Psicología 2003; 21: 145-177 DOI: 10.18800/psico.200301.006.
- 36 Lago C, Martín R. Determinants of possession of the ball in soccer. J Sports Sci 2007; 25: 969-974 DOI: 10.1080/02640410600944626.
- 37 Di Salvo V, Gregson W, Atkinson G. et al. Analysis of high intensity activity in premier league soccer. Int J Sports Med 2009; 30: 205-212 DOI: 10.1055/s-0028-1105950.