ORIGINAL PAPER
Effects of match location, quality of opposition, match outcome, and playing position on load parameters and players’ prominence during official matches in professional soccer players
More details
Hide details
1
Botafogo Football Club S/A, Ribeirão Preto, Brazil
2
School of Sport and Leisure, Polytechnic Institute of Viana do Castelo, Melgaço, Portugal
3
Instituto de Telecomunicações, Delegação da Covilhã, Covilhã, Portugal
4
Human Movement Research Laboratory, São Paulo State University, Bauru, Brazil
5
University of São Paulo, São Paulo, Brazil
6
Laboratory of Applied Biomechanics, Sports Sciences Department, State University of Londrina, Londrina, Brazil
7
Federal University of Espírito Santo, Goiabeiras, Vitória, Brazil
Submission date: 2020-05-07
Acceptance date: 2020-08-06
Publication date: 2021-02-07
Hum Mov. 2021;22(3):35-44
KEYWORDS
TOPICS
ABSTRACT
Purpose:
This study aimed to investigate the effects of match location, quality of opposition, match outcome, and playing position on internal load (IL), external load (EL), and interpersonal interactions in professional soccer players. Also, the relationships between load parameters and interpersonal interactions were measured.
Methods:
Fourteen matches from 16 Brazilian professional players were analysed. IL was obtained through the rating of perceived exertion. EL was quantified with the Global Positioning System (e.g., high-intensity running [HIR]). Interpersonal interactions were measured by network analysis using completed passes between teammates (n = 2845).
Results:
Higher values of match IL and HIR were observed in home vs. away matches (p = 0.02). Players presented greater running outputs and number of networks that a player controlled in matches against strong vs. weak opponents (p < 0.05). When the players won the matches, higher running demands and proximity to the teammates (i.e., closeness centrality) were demonstrated than when they drew or lost (p < 0.05). Reduced values of IL, EL, and closeness centrality were observed in the forwards compared with the other positions (p < 0.05). The distance covered per minute in HIR was large and associated with closeness centrality and eigenvector (r = 0.55; p < 0.001).
Conclusions:
The results indicate that load parameters and interpersonal interactions are influenced by the considered independent variables.
REFERENCES (41)
1.
Carling C, Reilly T, Williams AM. Performance assessment for field sports. Abingdon: Routledge; 2008.
2.
Silva P, Garganta J, Araújo D, Davids K, Aguiar P. Shared knowledge or shared affordances? Insights from an ecological dynamics approach to team coordination in sports. Sports Med. 2013;43(9):765–772; doi: 10.1007/s40279-013-0070-9.
3.
Clemente FM, Martins FML, Couceiro MS, Mendes RS, Figueiredo AJ. Developing a football tactical metric to estimate the sectorial lines: a case study. In: Murgante B, Misra S, Rocha AMAC, Torre C, Rocha JG, Falcão MI, et al. (eds.), Computational science and its applications – ICCSA 2014. Cham: Springer; 2014; 743–753.
4.
Grund TU. Network structure and team performance:the case of English Premier League soccer teams. Soc Netw. 2012;34(4):682–690; doi: 10.1016/j.socnet.2012.08.004.
5.
Ribeiro J, Silva P, Duarte R, Davids K, Garganta J. Team sports performance analysed through the lens of social network theory: implications for research and practice. Sports Med. 2017;47(9):1689–1696; doi: 10.1007/s40279-017-0695-1.
6.
Aquino R, Carling C, Palucci Vieira LH, Martins G, Jabor G, Machado J, et al. Influence of situational variables, team formation, and playing position on match running performance and social network analysis in Brazilian professional soccer players. J Strength Cond Res. 2020;34(3):808–817; doi: 10.1519/JSC.0000000000002725.
7.
Barros RML, Misuta MS, Menezes RP, Figueroa PJ, Moura FA, Cunha SA, et al. Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method. J Sports Sci Med. 2007;6(2):233–242.
8.
Impellizzeri FM, Rampinini E, Coutts AJ, Sassi A, Marcora SM. Use of RPE-based training load in soccer. Med Sci Sports Exerc. 2004;36(6):1042–1047; doi: 10.1249/01.mss.0000128199.23901.2f.
9.
McLaren SJ, Macpherson TW, Coutts AJ, Hurst C, Spears IR, Weston M. The relationships between internal and external measures of training load and intensity in team sports: a meta-analysis. Sports Med. 2018;48(3):641–658; doi: 10.1007/s40279-017-0830-z.
10.
Wrigley R, Drust B, Stratton G, Scott M, Gregson W. Quantification of the typical weekly in-season training load in elite junior soccer players. J Sports Sci. 2012;30(15):1573–1580; doi: 10.1080/02640414.2012.709265.
11.
Dellal A, Chamari K, Wong DP, Ahmaidi S, Keller D, Barros R, et al. Comparison of physical and technical performance in European soccer match-play: FA Premier League and La Liga. Eur J Sport Sci. 2011;11(1):51–59; doi: 10.1080/17461391.2010.481334.
12.
Weston M, Siegler J, Bahnert A, McBrien J, Lovell R. The application of differential ratings of perceived exertion to Australian Football League matches. J Sci Med Sport. 2015;18(6):704–708; doi: 10.1016/j.jsams.2014.09.001.
13.
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(1):63–71; doi: 10.1080/02640414.2010.521945.
14.
Castellano J, Echeazarra I. Network-based centrality measures and physical demands in football regarding player position: is there a connection? A preliminary study. J Sports Sci. 2019;37(23):2631–2638; doi: 10.1080/02640414.2019.1589919.
15.
Palucci Vieira LH, Carling C, Barbieri FA, Aquino R, Pereira Santiago PR. Match running performance in young soccer players: a systematic review. Sports Med. 2019;49(2):289–318; doi: 10.1007/s40279-018-01048-8.
16.
Palucci Vieira LH, Aquino R, Lago-Peñas C, Martins GHM, Puggina EF, Barbieri FA. Running performance in Brazilian professional football players during a congested match schedule. J Strength Cond Res. 2018; 32(2):313–325; doi: 10.1519/JSC.0000000000002342.
17.
Borg E, Kaijser L. A comparison between three rating scales for perceived exertion and two different work tests. Scand J Med Sci Sports. 2006;16(1):57–69; doi: 10.1111/j.1600-0838.2005.00448.x.
18.
Fanchini M, Ferraresi I, Modena R, Schena F, Coutts AJ, Impellizzeri FM. Use of the CR100 scale for session rating of perceived exertion in soccer and its interchangeability with the CR10. Int J Sprots Physiol Perform. 2016;11(3):388–392; doi: 10.1123/ijspp.2015-0273.
19.
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(15):1613–1619; doi: 10.1080/02640414.2011.608703.
20.
Jennings D, Cormack S, Coutts AJ, Boyd LJ, Aughey RJ. Variability of GPS units for measuring distance in team sport movements. Int J Sports Physiol Perform. 2010;5(4):565–569; doi: 10.1123/ijspp.5.4.565.
21.
Portas MD, Harley JA, Barnes CA, Rush CJ. The validity and reliability of 1-Hz and 5-Hz global positioning systems for linear, multidirectional, and soccer-specific activities. Int J Sports Physiol Perform. 2010;5(4):448–458; doi: 10.1123/ijspp.5.4.448.
22.
Borgatti SP. Centrality and network flow. Soc Netw. 2005;27(1):55–71; doi: 10.1016/j.socnet.2004.11.008.
23.
Freeman LC. Centrality in social networks conceptual clarification. Soc Netw. 1978–1979;1(3):215–239; doi: 10.1016/0378-8733(78)90021-7.
24.
Gudmundsson J, Horton M. Spatio-temporal analysis of team sports. ACM Comput Surv. 2017;50(2):22; doi: 10.1145/3054132.
25.
Hopkins WG. A scale of magnitudes for effect statistics. New View Stat. 2002;502:411.
26.
Wilkinson M, Winter EM. Estimation versus falsification approaches in sport and exercise science. J Sports Sci. 2019;37(1):3–4; doi: 10.1080/02640414.2018.1479116.
27.
De Koning JJ, Noordhof DA. Embrace uncertainty. Int J Sports Physiol Perform. 2019;14(6):697; doi: 10.1123/ijspp.2019-0419.
28.
Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3–13; doi: 10.1249/MSS.0b013e31818cb278.
29.
Lacome M, Simpson BM, Cholley Y, Lambert P, Buchheit M. Small-sided games in elite soccer: does one size fit all? Int J Sports Physiol Perform. 2018;13(5):568–576; doi: 10.1123/ijspp.2017-0214.
30.
Lago-Peñas C. The role of situational variables in analyzing physical performance in soccer. J Hum Kinet. 2012;35(1):89–95; doi: 10.2478/v10078-012-0082-9.
31.
Jamieson JP. The home field advantage in athletics: a meta-analysis. J Appl Soc Psychol. 2010;40(7):1819–1848; doi: 10.1111/j.1559-1816.2010.00641.x.
32.
Pollard R, Gómez MA. Components of home advantage in 157 national soccer leagues worldwide. Int J Sport Exerc Psychol. 2014;12(3):218–233; doi: 10.1080/1612197X.2014.888245.
33.
Yang G, Leicht AS, Lago C, Gómez M-Á. Key team physical and technical performance indicators indicative of team quality in the soccer Chinese super league. Res Sports Med. 2018;26(2):158–167; doi: 10.1080/15438627.2018.1431539.
34.
Aquino R, Martins GHM, Palucci Vieira LH, 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):2155–2161; doi: 10.1519/JSC.0000000000001674.
35.
Rampinini E, Coutts AJ, Castagna C, Sassi R, Impellizzeri FM. Variation in top level soccer match performance. Int J Sports Med. 2007;28(12):1018–1024; doi: 10.1055/s-2007-965158.
36.
Castellano J, Blanco-Villaseñor A, Alvarez D. Contextual variables and time-motion analysis in soccer. Int J Sports Med. 2011;32(6):415–421; doi: 10.1055/s-0031-1271771.
37.
Bloomfield JR, Polman RCJ, O’Donoghue PG. Effects of score-line on team strategies in FA Premier League soccer. J Sports Sci. 2005;23(2):192–193; doi: 10.1080/02640410512331334413.
38.
Lago C. The influence of match location, quality of opposition, and match status on possession strategies in professional association football. J Sports Sci. 2009;27(13):1463–1469; doi: 10.1080/02640410903131681.
39.
Lago-Peñas C, Gómez-Ruano M, Yang G. Styles of play in professional soccer: an approach of the Chinese Soccer Super League. Int J Perform Anal Sport. 2017;17(6):1073–1084; doi: 10.1080/24748668.2018.1431857.
40.
Di Salvo V, Gregson W, Atkinson G, Tordoff P, Drust B. Analysis of high intensity activity in Premier League soccer. Int J Sports Med. 2009;30(3):205–212; doi: 10.1055/s-0028-1105950.
41.
Hutchinson JC, Tenenbaum G. Perceived effort – can it be considered gestalt? Psychol Sport Exerc. 2006;7(5):463–476; 10.1016/j.psychsport.2006.01.007.