Movement Patterns of a U-20 National Women’s Soccer Team during Competitive Matches: Influence of Playing Position and Performance in the First Half

 

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Abstract

The aim of this study was to determine the match locomotor characteristics of a sample of U-20 Brazilian female soccer players. Seven international matches were analyzed during the 2015 U-20 South American Championship, using global positioning technology. During a typical match, fullbacks and forwards covered greater distances in high-intensity running and sprinting than central defenders and midfielders (effect size [ES]=1.42–3.69). In the final 15 min of a game, total and high-intensity running distance and player load were ≈20 to 35% (ES=0.41–3.86) lower than in the first 15 min period for midfielders, fullbacks, forwards, and central defenders. Sprinting, and high-intensity running distances, and the frequency of accelerations >2 m^.s⁻² immediately after the most intense 5-min period declined in forwards (ES=1.78–2.67), fullbacks (ES=1.96–5.25), midfielders (ES=1.66–3.77), and central defenders (ES=1.50–4.22). Maintaining ‘high’ levels of activity in the first half resulted in ≈19% reductions in the second half for sprinting distance and frequency of accelerations >2 m^.s⁻² (ES=0.43 and 0.88), while increases in these locomotor activities were observed in situations with ‘low’ levels of activity (ES=0.64 and 1.12, for sprinting and accelerations >2 m^.s⁻², respectively) (within-subject analysis). The data demonstrate that high-intensity efforts are reduced during various phases of international matches and overall activity patterns vary among playing positions. This information could be useful in the development and prescription of sex- and age-specific training regimes.

• References

• 1 Andersson HA, Randers MB, Heiner-Møller A, Krustrup P, Mohr M. Elite female soccer players perform more high-intensity running when playing in international games compared with domestic league games. J Strength Cond Res 2010; 24: 912-919
  CrossrefPubMedGoogle Scholar
• 2 Bangsbo J, Iaia FM, Krustrup P. The Yo-Yo Intermittent Recovery Test: A useful tool for evaluation of physical performance in intermittent sports. Sport Med 2008; 38: 37-51
  CrossrefPubMedGoogle Scholar
• 3 Barnes C, Archer DT, Hogg B, Bush M, Bradley PS. The evolution of physical and technical performance parameters in the english premier league. Int J Sports Med 2014; 35: 1095-1100
  Article in Thieme ConnectPubMedGoogle Scholar
• 4 Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. Int J Sports Physiol Perform 2006; 1: 50-57
  CrossrefPubMedGoogle Scholar
• 5 Boyd LJ, Ball K, Aughey RJ. The reliability of MinimaxX accelerometers for measuring physical activity in Australian football. Int J Sports Physiol Perform 2011; 6: 311-321
  CrossrefPubMedGoogle Scholar
• 6 Bradley PS, Lago-Penas C, Rey E. Evaluation of the match performances of substitution players in elite soccer. Int J Sports Physiol Perform 2014; 9: 415-424
  CrossrefPubMedGoogle Scholar
• 7 Bradley PS, Di Mascio M, Peart D, Olsen P, Sheldon B. High-intensity activity profiles of elite soccer players at different performance levels. J Strength Cond Res 2010; 24: 2343-2351
  CrossrefPubMedGoogle Scholar
• 8 Bradley PS, Noakes TD. Match running performance fluctuations in elite soccer: Indicative of fatigue, pacing or situational influences?. J Sports Sci 2013; 31: 1627-1638
  CrossrefPubMedGoogle Scholar
• 9 Bradley PS, Sheldon W, Wooster B, Olsen P, Boanas P, Krustrup P. High-intensity running in English FA Premier League soccer matches. J Sports Sci 2009; 27: 159-168
  CrossrefPubMedGoogle Scholar
• 10 Bush MD, Archer DT, Hogg R, Bradley PS. Factors influencing physical and technical variability in the English Premier League. Int J Sports Physiol Perform 2015; 10: 865-872
  CrossrefPubMedGoogle Scholar
• 11 Carling C, Bloomfield J, Nelsen L, Reilly T. The role of motion analysis in elite soccer: Contemporary performance measurement techniques and work rate data. Sport Med 2008; 38: 839-862
  CrossrefPubMedGoogle Scholar
• 12 Castellano J, Activity P, Blanco-Villasenor A, Alvarez D. Contextual Variables and Time-Motion Analysis in Soccer. Int J Sports Med 2011; 32: 415-421
  Article in Thieme ConnectPubMedGoogle Scholar
• 13 Cohen J. Statistical power analysis for the behavioral sciences. Stat Power Anal Behav Sci 1988; 2nd: 567
  PubMedGoogle Scholar
• 14 Datson N, Hulton A, Andersson H, Lewis T, Weston M, Drust B, Gregson W. Applied physiology of female soccer: an update. Sports Med 2014; 44: 1225-1240
  CrossrefPubMedGoogle Scholar
• 15 Edwards AM, Noakes TD. Dehydration: Cause of fatigue or sign of pacing in elite soccer?. Sport Med 2009; 39: 1-13
  CrossrefPubMedGoogle Scholar
• 16 Faude O, Koch T, Meyer T. Straight sprinting is the most frequent action in goal situations in professional football. J Sports Sci 2012; 30: 625-631
  CrossrefPubMedGoogle Scholar
• 17 Harriss DJ, Atkinson G. Ethical standards in sport and exercise science research: 2016 update. Int J Sports Med 2015; 36: 1121-1124
  Article in Thieme ConnectPubMedGoogle Scholar
• 18 Hewitt A, Norton K, Lyons K. Movement profiles of elite women soccer players during international matches and the effect of opposition’s team ranking. J Sports Sci 2014; 32: 1-7
  CrossrefPubMedGoogle Scholar
• 19 Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 2009; 41: 3-12
  CrossrefPubMedGoogle Scholar
• 20 Iaia MF, Rampinini E, Bangsbo J. High-intensity training in football. Int J Sports Physiol Perform 2009; 4: 291-306
  CrossrefPubMedGoogle Scholar
• 21 Johnston RJ, Watsford ML, Kelly SJ, Pine MJ, Spurrs RW. Validity and interunit reliability of 10 Hz and 15 Hz GPS units for assessing athlete movement demands. J Strength Cond Res 2014; 28: 1649-1655
  CrossrefPubMedGoogle Scholar
• 22 Malone JJ, Lovell R, Varley MC, Coutts AJ. Unpacking the Black Box: Applications and Considerations for Using GPS Devices in Sport. Int J Sports Physiol Perform 2016; 13: 1-30
  PubMedGoogle Scholar
• 23 Mohr MA, Krustrup P, Andersson H, Kirkendal D, Bangsbo J. Match activities of elite women soccer players at different performance levels. J Strength Cond Res 2008; 22: 341-349
  CrossrefPubMedGoogle Scholar
• 24 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
  Google Scholar
• 25 Rampinini E, Coutts AJ, Castagna C, Sassi R, Impellizzeri FM. Variation in top level soccer match performance. Int J Sports Med 2007; 28: 1018-1024
  Article in Thieme ConnectPubMedGoogle Scholar
• 26 Scott MTU, Scott TJ, Kelly VG. The validity and reliability of global positioning systems in team sport: A brief review. J Strength Cond Res 2016; 30:
  PubMed
• 27 Vescovi JD. Motion Characteristics of Youth Women Soccer Matches: Female Athletes in Motion (FAiM) Study. Int J Sports Med 2014; 35: 110-117
  Article in Thieme ConnectPubMedGoogle Scholar
• 28 Vescovi JD, Favero TG. Motion characteristics of women’s college soccer matches: Female athletes in motion (FAiM) study. Int J Sports Physiol Perform 2014; 9: 405-414
  CrossrefPubMedGoogle Scholar