Motion Characteristics of Youth Women Soccer Matches: Female Athletes in Motion (FAiM) Study

Abstract

This study determined the locomotor characteristics for youth female soccer matches. 89 female soccer players (U-15–U-17) were assessed during a youth national championship or a talent identification camp using a Global Positioning System. Positional and age-group comparisons of locomotor characteristics were made for complete games, each half, differences between halves as well as sprint profiles using an ANCOVA adjusting for the differences in game or half durations, respectively. Midfielders covered greater distances (8 449±170 m) than defenders (7 779±114 m), mostly from more low- (2 553±99 m vs. 2 151±66 m) and moderate-speed running (1 389±78 m vs. 1 142±52 m). Forwards had more sprint distances (275±42 m), sprints (15±2) and greater maximum speed (26.7±0.6 km · h⁻¹) than midfielders (131±24 m, 8±1, 24.7±0.4 km · h⁻¹, respectively). There was a tendency for increased distances within most velocity bands, workrate and sprints with increasing age. There was a greater increase in walking and jogging between the first and second half for forwards than defenders and midfielders. Youth female soccer players covered 6 500–9 000 m during matches with positional distinctions that are comparable to elite-standard women. These data provide novel insight into the physical demands of female youth soccer and should be used to establish appropriate age-group and positional strategies for training and development.

Key words

female football - elite youth soccer - adolescents - non-differential GPS - motion analysis

• References

• 1 Andersson HA, Randers MB, Heiner-Moller 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
• 2 Bradley PS, Carling C, Archer D, Roberts J, Dodds A, Di Mascio M, Paul D, Diaz AG, Peart D, Krustrup P. The effect of playing formation on high-intensity running and technical profiles in English FA Premier League soccer matches. J Sports Sci 2011; 29: 821-830
• 3 Buchheit M, Mendez-Villanueva A, Simpson BM, Bourdon PC. Match running performance and fitness in youth soccer. Int J Sports Med 2010; 31: 818-825
• 4 Castellano J, Blanco-Villasenor A, Alvarez D. Contextual variables and time-motion analysis in soccer. Int J Sports Med 2011; 32: 415-421
• 5 Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale: Erlbaum; 1988: 278-280
• 6 Cometti G, Maffiuletti NA, Pousson M, Chatard JC, Maffulli N. Isokinetic strength and anaerobic power of elite, subelite and amateur French soccer players. Int J Sports Med 2001; 22: 45-51
• 7 Dwyer DB, Gabbett TJ. Global positioning system data analysis: velocity ranges and a new definition of sprinting for field sport athletes. J Strength Cond Res 2012; 26: 818-824
• 8 Gissis I, Papadopoulos C, Kalapotharakos VI, Sotiropoulos A, Komsis G, Manolopoulos E. Strength and speed characteristics of elite, subelite, and recreational young soccer players. Res Sports Med 2006; 14: 205-214
• 9 Gray AJ, Jenkins D, Andrews MH, Taaffe DR, Glover ML. Validity and reliability of GPS for measuring distance travelled in field-based team sports. J Sports Sci 2010; 28: 1319-1325
• 10 Harley JA, Barnes CA, Portas M, Lovell R, Barrett S, Paul D, Weston M. Motion analysis of match-play in elite U12 to U16 age-group soccer players. J Sports Sci 2010; 28: 1391-1397
• 11 Harris DJ, Atkinson G. Update – Ethical Standards in Sport and Exercise Science Research. Int J Sports Med 2011; 32: 819-821
• 12 Hoare DG, Warr CR. Talent identification and women’s soccer: an Australian experience. J Sports Sci 2000; 18: 751-758
• 13 Jennings D, Cormack S, Coutts AJ, Boyd L, Aughey RJ. The validity and reliability of GPS units for measuring distance in team sport specific running patterns. Int J Sports Physiol Perform 2010; 5: 328-341
• 14 Krustrup P, Mohr M, Ellingsgaard H, Bangsbo J. Physical demands during an elite female soccer game: importance of training status. Med Sci Sports Exerc 2005; 37: 1242-1248
• 15 Macleod H, Morris J, Nevill A, Sunderland C. The validity of a non-differential global positioning system for assessing player movement patterns in field hockey. J Sports Sci 2009; 27: 121-128
• 16 Mohr M, 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
• 17 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
• 18 Reilly T, Williams AM, Nevill A, Franks A. A multidisciplinary approach to talent identification in soccer. J Sports Sci 2000; 18: 695-702
• 19 Vescovi JD. Sprint profile of professional female soccer players during competitive matches: Female Athletes in Motion (FAiM) study. J Sports Sci 2012; 30: 1259-1265
• 20 Vescovi JD. Sprint speed characteristics of high-level American female soccer players: Female Athletes in Motion (FAiM) Study. J Sci Med Sport 2012; 15: 474-478
• 21 Vescovi JD, Brown TD, Murray TM. Positional characteristics of physical performance in Division I college female soccer players. J Sports Med Phys Fitness 2006; 46: 221-226
• 22 Vescovi JD, Brown TD, Murray TM. Descriptive characteristics of NCAA Division I women lacrosse players. J Sci Med Sport 2007; 10: 334-340
• 23 Vescovi JD, Rupf R, Brown TD, Marques MC. Physical performance characteristics of high-level female soccer players 12-21 years of age. Scand J Med Sci Sports 2011; 21: 670-678
• 24 Waldron M, Worsfold P, Twist C, Lamb K. Concurrent validity and test-retest reliability of a global positioning system (GPS) and timing gates to assess sprint performance variables. J Sports Sci 2011; 29: 1613-1619
• 25 Witte TH, Wilson AM. Accuracy of non-differential GPS for the determination of speed over ground. J Biomech 2004; 37: 1891-1898