ORIGINAL PAPER
Locomotor activities of female football players: analysis of training and competition
,
 
,
 
,
 
 
 
More details
Hide details
1
Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
 
2
LARSYS, Interactive Technologies Institute, Funchal, Portugal
 
3
Faculty of Sport Sciences and Physical Education, University of Coimbra, Research Unit for Sport and Physical Activity (CIDAF), Coimbra, Portugal
 
4
Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
 
5
Department of Sports and Health, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal
 
 
Submission date: 2024-02-07
 
 
Acceptance date: 2024-05-21
 
 
Publication date: 2024-06-28
 
 
Corresponding author
Cíntia França   

Department of Physical Education and Sport, University of Madeira, 9020-105 Funchal, Portugal
 
 
Hum Mov. 2024;25(2):140-147
 
KEYWORDS
TOPICS
ABSTRACT
Purpose:
In female football, a growing concern has emerged regarding assessing and monitoring strategies, particularly on locomotor activities. This study evaluated locomotor activities during training sessions and official matches of female football players according to their field position.

Methods:
Twenty-four semi-professional female football players aged 20.1 ± 3.4 years were included in the analysis: five central defenders, four wide defenders, seven central midfielders, four wingers, and four forwards. Data collection included 105 training sessions and 26 official matches. The Global Positioning System examined distance variables, accelerations, and decelerations actions.

Results:
Significant differences were observed in training sessions for total distance (p < 0.01). Wingers (5.60 ± 1.44 km) and wide defenders (5.42 ± 1.35 km) covered significantly greater total distances compared to the other field positions. During official matches, differences in players’ locomotor activities were more evident among field positions, particularly in sprinting (p < 0.01), and in the number of accelerations and decelerations (p < 0.01). Central defenders showed more distance covered in sprinting (77.8 ± 64.9 m), while wide defenders presented greater acceleration (44.3 ± 23.0) and deceleration actions (57.2 ± 26.5).

Conclusions:
Data on players’ locomotor activities based on field position might help understand players’ profiles. This information is useful to guide clubs and coaching staff in the player recruitment process, and to support a better organisation of the training plan.

 
REFERENCES (28)
1.
Oliveira R, Paulo Brito J, Moreno-Villanueva A, Nalha M, Rico-González M, Clemente FM. Range values for external and internal intensity monitoring in female soccer players: a systematic review. Int J Sports Sci Coach. 2023;18(5):1782–819; doi: 10.1177/17479541221113014.
 
2.
McFadden BA, Walker AJ, Bozzini BN, Sanders DJ, Arent SM. Comparison of internal and external training loads in male and female collegiate soccer players during practices vs. games. J Strength Cond Res. 2020;34(4):969–74; doi: 10.1519/JSC.0000000000003485.
 
3.
Clemente FM, Rabbani A, Conte D, Castillo D, Afonso J, Truman Clark CC, Nikolaidis PT, Rosemann T, Knechtle B. Training/match external load ratios in professional soccer players: A fullseason study. Int J Environ Res Public Health. 2019;16(17):3057; doi: 10.3390/ijerph16173057.
 
4.
Stevens TGA, de Ruiter CJ, Twisk JWR, Savelsbergh GJ, Beek PJ. Quantification of in-season training load relative to match load in professional Dutch Eredivisie football players. Sci Med Footb. 2017;1(2):117–25; doi: 10.1080/24733938.2017. 1282163.
 
5.
Andersson HÅ, 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(4): 912–9; doi: 10.1519/JSC.0b013e3181d09f21.
 
6.
Gentles JA, Coniglio CL, Besemer MM, Morgan JM, Mahnken MT. The demands of a women’s college soccer season. Sports. 2018;6(1):16; doi: 10.3390/sports6010016.
 
7.
Mara JK, Thompson KG, Pumpa KL, Morgan S. Quantifying the high-speed running and sprinting profiles of elite female soccer players during competitive matches using an optical player tracking system. J Strength Cond Res. 2017;31(6):1500– 8; doi: 10.1519/JSC.0000000000001629.
 
8.
Jagim AR, Murphy J, Schaefer AQ, Askow AT, Luedke JA, Erickson JL, Jones MT. Match demands of women’s collegiate soccer. Sports. 2020; 8(6):87; doi: 10.3390/sports8060087.
 
9.
Bradley PS, Dellal A, Mohr M, Castellano J, Wilkie A. Gender differences in match performance characteristics of soccer players competing in the UEFA Champions League. Hum Mov Sci. 2014; 33:159–71; doi: 10.1016/j.humov.2013.07.024.
 
10.
Vescovi JD. Sprint speed characteristics of highlevel American female soccer players: Female Athletes in Motion (FAiM) study. J Sci Med Sport. 2012;15(5):474–8; doi: 10.1016/j.jsams.2012.03. 006.
 
11.
Bradley PS, Vescovi JD. Velocity thresholds for women’s soccer matches: sex specificity dictates high-speed-running and sprinting thresholds – Female Athletes in Motion (FAiM). Int J Sports Physiol Perform. 2015;10(1):112–6; doi: 10.1123/ ijspp.2014-0212.
 
12.
Baptista I, Johansen D, Figueiredo P, Rebelo A, Pettersen SA. Positional differences in peak- and accumulated- training load relative to match load in elite football. Sports. 2019;8(1):1; doi: 10.3390/ sports8010001.
 
13.
Romero-Moraleda B, Nedergaard NJ, Morencos E, Casamichana D, Ramirez-Campillo R, Vanrenterghem J. External and internal loads during the competitive season in professional female soccer players according to their playing position: differences between training and competition. Res Sports Med. 2021;29(5):449–61; doi: 10.1080/ 15438627.2021.1895781.
 
14.
Beato M, Coratella G, Stiff A, Iacono AD. The validity and between-unit variability of GNSS units (STATSports Apex 10 and 18 Hz) for measuring distance and peak speed in team sports. Front Physiol. 2018;9:1288; doi: 10.3389/fphys.2018. 01288.
 
15.
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. 2017;12(s2):218–26; doi: 10.1123/ ijspp.2016-0236.
 
16.
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(3):405–14; doi: 10.1123/IJSPP. 2013-0526.
 
17.
Faul F, Erdfelder E, Lang A-G, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–91; doi: 10.3758/bf03193146.
 
18.
Akenhead R, Harley JA, Tweddle SP. Examining the external training load of an English Premier League football team with special reference to acceleration. J Strength Cond Res. 2016;30(9): 2424–32; doi: 10.1519/JSC.0000000000001343.
 
19.
Trewin J, Meylan C, Varley MC, Cronin J. The match-to-match variation of match-running in elite female soccer. J Sci Med Sport. 2018;21(2):196– 201; doi: 10.1016/j.jsams.2017.05.009.
 
20.
Datson N, Drust B, Weston M, Jarman IH, Lisboa PJ, Gregson W. Match physical performance of elite female soccer players during international competition. J Strength Cond Res. 2017;31(9): 2379–87; doi: 10.1519/JSC.0000000000001575.
 
21.
Modric T, Versic S, Sekulic D. Position specific running performances in professional football(soccer): influence of different tactical formations. Sports. 2020;8(12):161; doi: 10.3390/sports812 0161.
 
22.
Wisløff U, Castagna C, Helgerud J, Jones R, Hoff J. Strong correlation of maximal squat strength with sprint performance and vertical jump height in elite soccer players. Br J Sports Med. 2004; 38(3):285–8; doi: 10.1136/bjsm.2002.002071.
 
23.
Chaouachi A, Manzi V, Chaalali A, Wong DP, Chamari K, Castagna C. Determinants analysis of change-of-direction ability in elite soccer players. J Strength Cond Res. 2012;26(10):2667–76; doi: 10.1519/JSC.0b013e318242f97a.
 
24.
Dalen T, Ingebrigtsen J, Ettema G, Hjelde GH, Wisløff U. Player load, acceleration, and deceleration during forty-five competitive matches of elite soccer. J Strength Cond Res. 2016;30(2):351– 9; doi: 10.1519/JSC.0000000000001063.
 
25.
Vigh-Larsen JF, Dalgas U, Andersen TB. Positionspecific acceleration and deceleration profiles in elite youth and senior soccer players. J Strength Cond Res. 2018;32(4):1114–22; doi: 10.1519/ JSC.0000000000001918.
 
26.
Aquino R, Martins GHM, Vieira LHP, Menezes RP. Influence of match location, quality of opponents, and match status on movement patterns in Brazilian professional football players. J Strength Cond Res. 2017;31(8):2155–61; doi: 10.1519/ JSC.0000000000001674.
 
27.
Bradley PS, Carling C, Archer D, Roberts J, Dodds A, Di Mascio M, Paul D, Gomez Diaz A, 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(8):821–30; doi: 10.1080/ 02640414.2011.561868.
 
28.
Impellizzeri FM, Marcora SM, Coutts AJ. Internal and external training load: 15 years on. Int J Sports Physiol Perform. 2019;14(2):270–3; doi: 10.1123/ijspp.2018-0935.
 
eISSN:1899-1955
Journals System - logo
Scroll to top