ORIGINAL PAPER
Analysis of patterns of ball recovery in youth futsal
1
Higher School of Physical Education, University of Pernambuco, Recife, Brazil
2
Department of Physical Education, Laval University, Québec, Canada
Submission date: 2020-04-23
Acceptance date: 2020-07-30
Publication date: 2021-03-05
Hum Mov. 2021;22(3):84-91
KEYWORDS
TOPICS
ABSTRACT
Purpose:
To investigate the patterns of recovery of ball possession in a young futsal team.
Methods:
Seven games played by a youth futsal team were analysed. Patterns of recovery of ball possession were investigated on the basis of the following variables: way to recover the ball, location of recovery, tactical behaviour after the recovery, and result of the match. One-way ANOVA and post-hoc Tukey honest significant difference test were used to compare the variables. Principal component analysis was also applied to verify the association between variables.
Results:
It was observed that there was a greater number of ball recoveries in the defensive sector (F3,24 = 35.6; p < 0.001; ηp2 = 0.79), that set pieces were the most frequent way to recover the ball (F5,36 = 7.9; p < 0.001; ηp2 = 0.46), that ball possession was maintained more often after the recovery of the ball (F3,24 = 79.6; p < 0.001; ηp2 = 0.90), and that there was no correlation between the result of the match and the number of ball recoveries (F3,24 = 0.20; p = 0.93; ηp2 = 0.10). Four components were identified that represented a variance of 95% for all variables. Factor 1 was related to the patterns of ball possession recovery in the offensive sector, while factor 2 was related to the tackle.
Conclusions:
It was concluded that the way to recover the ball and the location of recovery affected both patterns of recovery and tactical behaviour after the recovery of the ball.
To investigate the patterns of recovery of ball possession in a young futsal team.
Methods:
Seven games played by a youth futsal team were analysed. Patterns of recovery of ball possession were investigated on the basis of the following variables: way to recover the ball, location of recovery, tactical behaviour after the recovery, and result of the match. One-way ANOVA and post-hoc Tukey honest significant difference test were used to compare the variables. Principal component analysis was also applied to verify the association between variables.
Results:
It was observed that there was a greater number of ball recoveries in the defensive sector (F3,24 = 35.6; p < 0.001; ηp2 = 0.79), that set pieces were the most frequent way to recover the ball (F5,36 = 7.9; p < 0.001; ηp2 = 0.46), that ball possession was maintained more often after the recovery of the ball (F3,24 = 79.6; p < 0.001; ηp2 = 0.90), and that there was no correlation between the result of the match and the number of ball recoveries (F3,24 = 0.20; p = 0.93; ηp2 = 0.10). Four components were identified that represented a variance of 95% for all variables. Factor 1 was related to the patterns of ball possession recovery in the offensive sector, while factor 2 was related to the tackle.
Conclusions:
It was concluded that the way to recover the ball and the location of recovery affected both patterns of recovery and tactical behaviour after the recovery of the ball.
REFERENCES (34)
1.
Araújo D, Davids K. Team synergies in sport: theory and measures. Front Psychol. 2016;7(1):1449; doi: 10.3389/fpsyg.2016.01449.
2.
Corrêa UC, Alegre FAM, Freudenheim AM, Dos Santos S, Tani G. The game of futsal as an adaptive process. Nonlinear Dynamics Psychol Life Sci. 2012;16(2):185–203.
3.
Santos R, Duarte R, Davids K, Teoldo I. Interpersonal coordination in soccer: interpreting literature to enhance the representativeness of task design, from dyads to teams. Front Psychol. 2018;9(1):2550; doi: 10.3389/fpsyg.2018.02550.
4.
McGarry T, Anderson DI, Wallace SA, Hughes MD, Franks IM. Sport competition as a dynamical self-organizing system. J Sports Sci. 2002;20(10):771–781; doi: 10.1080/026404102320675620.
5.
Kelso JAS, Schöner G. Self-organization of coordinative movement patterns. Hum Mov Sci. 1988;7(1):27–46; doi: 10.1016/0167-9457(88)90003-6.
6.
De Oliveira Bueno MJ, Caetano FG, Yonezawa MK, Grella AS, Cunha SA, Moura FA. How do futsal players of different categories play during official matches? A tactical approach to players’ organization on the court from positional data. PLoS One. 2018;13(6):e0199619; doi: 10.1371/journal.pone.0199619.
7.
Moura FA, Barreto Martins LE, de Oliveira Anido R, de Barros RML, Cunha SA. Quantitative analysis of Brazilian football players’ organisation on the pitch. Sports Biomech. 2012;11(1):85–96; doi: 10.1080/14763141.2011.637123.
8.
Moura FA, van Emmerik REA, Santana JE, Barreto Martins LE, de Barros RML, Cunha SA. Coordination analysis of players’ distribution in football using crosscorrelation and vector coding techniques. J Sports Sci. 2016;34(24):2224–2232; doi: 10.1080/02640414.2016.1173222.
9.
Miloski B, Pinho JP, de Freitas CG, Marcelino PR, de Arruda AFS. Which technical-tactical actions performed in futsal matches can discriminate the result of winning or defeat? [in Portuguese]. Rev Bras Educ Fís Esporte. 2014;28(2):203–209; doi: 10.1590/1807-55092014000200203.
10.
Barreira D, Garganta J, Guimarães P, Machado J, Anguera MT. Ball recovery patterns as a performance indicator in elite soccer. J Sports Eng Technol. 2014;228(1):61–72; doi: 10.1177/1754337113493083.
11.
Reis M, Almeida M. Soccer, art, and science: creating a play model [in Portuguese]. Natal: Editora Primeiro Lugar; 2019.
12.
Almeida CH, Ferreira AP, Volossovitch A. Effects of match location, match status and quality of opposition on regaining possession in UEFA Champions League. J Hum Kinet. 2014;41(1):203–214; doi: 10.2478/hukin-2014-0048.
13.
Liu H, Gomez M-Á, Lago-Peñas C, Sampaio J. Match statistics related to winning in the group stage of 2014 Brazil FIFA World Cup. J Sports Sci. 2015;33(12):1205–1213; doi: 10.1080/02640414.2015.1022578.
14.
Liu H, Hopkins WG, Gómez M-A. Modelling relationships between match events and match outcome in elite football. Eur J Sport Sci. 2016;16(5):516–525; doi: 10.1080/17461391.2015.1042527.
15.
Reis M, Santos J, Matos M, Cruz T, Vasconcellos F, Almeida M. Assessment of the performance of novice futsal players in the execution of futsal-specific motor skills. Hum Mov. 2019;20(3):29–37; doi: 10.5114/hm.2019.83994.
16.
Costa IT, Garganta J, Greco PJ, Mesquita I, Maia J. System of tactical assessment in soccer (FUT-SAT): development and preliminary validation. Motricidade. 2011;7(1):69–83; doi: 10.6063/motricidade.121.
17.
Dancey CP, Reidy J. Statistics without mathematics for psychology [in Portuguese]. Porto Alegre: Penso; 2013.
18.
Fernandez-Navarro J, Fradua L, Zubillaga A, Ford PR, McRobert AP. Attacking and defensive styles of play in soccer: analysis of Spanish and English elite teams. J Sports Sci. 2016;34(24):2195-2204; doi: 10.1080/02640414.2016.1169309.
19.
MacCallum RC, Widaman KF, Zhang S, Hong S. Sample size in factor analysis. Psychol Methods. 1999;4(1):84–99; doi: 10.1037/1082-989X.4.1.84.
20.
Kaiser HF. An index of factorial simplicity. Psychometrika. 1974;39(1):31–36; doi: 10.1007/BF02291575.
21.
Kaiser HF. The application of electronic computers to factor analysis. Educ Psychol Meas. 1960;20(1):141–151; doi: 10.1177/001316446002000116.
22.
Robinson G, O’Donoghue P. A weighted kappa statistic for reliability testing in performance analysis of sport. Int J Perf Anal Sport. 2007;7(1):12–19; doi: 10.1080/24748668.2007.11868383.
23.
Corrêa UC, Vilar L, Davids K, Renshaw I. Informational constraints on the emergence of passing direction in the team sport of futsal. Eur J Sport Sci. 2014;14(2):169–176; doi: 10.1080/17461391.2012.730063.
24.
Oppici L, Panchuk D, Serpiello FR, Farrow D. Futsal task constraints promote transfer of passing skill to soccer task constraints. Eur J Sport Sci. 2018;18(7):947–954; doi: 10.1080/17461391.2018.1467490.
25.
Oppici L, Panchuk D, Serpiello FR, Farrow D. Long-term practice with domain-specific task constraints influences perceptual skills. Front Psychol. 2017;8(1):1387; doi: 10.3389/fpsyg.2017.01387.
26.
De Oliveira Bueno MJ, Caetano FG, de Souza NM, Cunha SA, Moura FA. Variability in tactical behavior of futsal teams from different categories. PLoS One. 2020;15(3):e0230513; doi: 10.1371/journal.pone.0230513.
27.
Laakso T, Davids K, Liukkonen J, Travassos B. Interpersonal dynamics in 2-vs-1 contexts of football: the effects of field location and player roles. Front Psychol. 2019;10(1):1407; doi: 10.3389/fpsyg.2019.01407.
28.
Dos Reis MAM, do Amaral Vasconcellos FV, de Almeida MB. Performance and tactical behavior of youth soccer players. Rev Bras Cineantropom Desempenho Hum. 2017;19(2):242–250; doi: 10.5007/1980-0037.2017v19n2p242.
29.
Araújo D, Dicks M, Davids K. Selecting among affordances: a basis for channeling expertise in sport. In: Cappuccio ML (ed.), Handbook of embodied cognition and sport psychology. Cambridge: MIT Press; 2018;557–580.
30.
Travassos B, Duarte R, Vilar L, Davids K, Araújo D. Practice task design in team sports: representativeness enhanced by increasing opportunities for action. J Sports Sci. 2012;30(13):1447–1454; doi: 10.1080/02640414.2012.712716.
31.
Brunswik E. Perception and the representative design of psychological experiments. Berkeley: University of California Press; 1956.
32.
Olthof SBH, Frencken WGP, Lemmink KAPM. Matchderived relative pitch area changes the physical and team tactical performance of elite soccer players in small-sided soccer games. J Sports Sci. 2018;36(14):1557–1563; doi: 10.1080/02640414.2017.1403412.
33.
Chow JY, Davids K, Button C, Shuttleworth R, Renshaw I, Araújo D. The role of nonlinear pedagogy in physical education. Rev Educ Res. 2007;77(3):251–278; doi: 10.3102/003465430305615.
34.
Wałach-Biśta ZM. What do we want and what do we get from the coach? Preferred and perceived leadership in male and female team sports. Hum Mov. 2019;20(3):38–47; doi: 10.5114/hm.2019.79734.
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