Int J Sports Med 2020; 41(05): 300-305
DOI: 10.1055/a-1073-7851
Training & Testing
© Georg Thieme Verlag KG Stuttgart · New York

A Reduction in Match-to-match Variability Using Maximal Mean Analyses in Sub-elite Soccer

1   Centre for Exercise and Sports Science Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
,
Anthony John Blazevich
1   Centre for Exercise and Sports Science Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
,
Chris Richard Abbiss
1   Centre for Exercise and Sports Science Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
,
Fadi Maʼayah
1   Centre for Exercise and Sports Science Research, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
2   School of Education, Curtin University, Bentley, Australia
› Author Affiliations
Further Information

Publication History



accepted 10 November 2019

Publication Date:
20 January 2020 (online)

Abstract

The match-to-match variability of external loads in National Premier League soccer competition was determined. Global positioning systems (GPS) data were collected from 20 sub-elite soccer players over 2–10 matches from a single season. Match data were collected from during one season. Twenty-six matches were recorded and 10 were utilised within final match-to-match analysis based on stringent data selection criteria. A symmetric moving average algorithm was applied to GPS data over specific time windows (1, 5, 10, 60, 300 and 600 s), and maximal speed and metabolic power values then calculated at each time interval during each match. Match-to-match coefficients of variation (CV) were greatest for sprint-speed running distance (36.3–43.6%) when comparing 2 vs. 10 matches. CVs for maximal mean speed (4.9–7.0%) and metabolic power (4.4–9.6%) ranged from good to moderate. As the variability of absolute high-speed distance values are greater, and therefore less reliable, their use as indicators of performance is reduced, suggesting that maximal mean analyses could be used as an alternative in the assessment of match running performance during competitive matches.

 
  • References

  • 1 Buchheit M, Allen A, Poon TK. et al. Integrating different tracking systems in football: Multiple camera semi-automatic system, local position measurement and GPS technologies. J Sports Sci 2014; 32: 1844-1857
  • 2 Coutts AJ, Duffield R. Validity and reliability of GPS devices for measuring movement demands of team sports. J Sci Med Sport 2010; 13: 133-135
  • 3 Impellizzeri FM, Marcora SM, Coutts AJ. Internal and external training load: 15 Years On. Int J Sports Physiol Perform 2019; 14: 270-273
  • 4 Polglaze T, Dawson B, Buttfield A. et al. Metabolic power and energy expenditure in an international menʼs hockey tournament. J Sports Sci 2018; 36: 140-148
  • 5 FIFA. FIFA and IFAB to Develop Global Standard for Electronic Performance and Tracking Systems. 2015
  • 6 Trewin J, Meylan C, Varley MC. et al. The match-to-match variation of match-running in elite female soccer. J Sci Med Sport 2018; 21: 196-201
  • 7 Rampinini E, Coutts AJ, Castagna C. et al. Variation in top level soccer match performance. Int J Sports Med 2007; 28: 1018-1024
  • 8 Gregson W, Drust B, Atkinson G. et al. Match-to-match variability of high-speed activities in premier league soccer. Int J Sports Med 2010; 31: 237-242
  • 9 Carling C, Bradley P, McCall A. et al. Match-to-match variability in high-speed running activity in a professional soccer team. J Sports Sci 2016; 34: 2215-2223
  • 10 Kempton T, Sirotic AC, Coutts AJ. Between match variation in professional rugby league competition. J Sci Med Sport 2018; 17: 404-407
  • 11 Carling C, Dupont G. Are declines in physical performance associated with a reduction in skill-related performance during professional soccer match-play?. J Sports Sci 2011; 29: 63-71
  • 12 Malone S, Solan B, Hughes B. et al. Duration specific running performance in Elite Gaelic Football. J Strength Cond Res. 2017; DOI: 10.1519/JSC.0000000000001972.
  • 13 Roecker K, Mahler H, Heyde C. et al. The relationship between movement speed and duration during soccer matches. PloS One. 2017; 12: e0181781. doi:10.1371/journal.pone.0181781
  • 14 Malone JJ, 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
  • 15 Harriss DJ, Macsween A, Atkinson G. Standards for ethics in sport and exercise science research: 2020 Update. Int J Sports Med 2019; 40: 813-817
  • 16 Barr M, Beaver T, Turczyn D. et al. The validity and reliability of 15 Hz global positioning system units for assessing the activity profiles of University Football Players. J Strength Cond Res 2019; 33: 1371-1379
  • 17 Kempton T, Sirotic AC, Cameron M. et al. Match-related fatigue reduces physical and technical performance during Elite rugby league match-play: A case study. J Sports Sci 2013; 31: 1770-1780
  • 18 di Prampero PE, Fusi S, Sepulcri L. et al. Sprint running: A new energetic approach. J Exp Biol 2005; 208: 2809-2816
  • 19 Sullivan GM, Feinn R. Using effect size-or why the P value is not enough. J Grad Med Educ 2012; 4: 279-282
  • 20 Hopkins WG, Marshall SW, Batterham AM. et al. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 2009; 41: 3-13
  • 21 Maddison R, Ni Mhurchu C. Global positioning system: A new opportunity in physical activity measurement. Int J Behav Nutr Phys Act 2009; 6: 73
  • 22 Scott MT, Scott TJ, Kelly VG. The validity and reliability of global positioning systems in team sport: A brief review. J Strength Cond Res 2016; 30: 1470-1490
  • 23 Castellano J, Blanco-Villasenor A, Alvarez D. Contextual variables and time-motion analysis in soccer. Int J Sports Med 2011; 32: 415-421
  • 24 Delaney JA, Thornton HR, Burgess DJ. et al. Duration-specific running intensities of Australian Football match-play. J Sci Med Sport 2017; 20: 689-694