ORIGINAL PAPER
Temporal analysis of goals scored in futsal: a comparison of two models
 
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1
Group for the Study of Football and Futsal, UniEduK, Jaguariúna, Brazil
 
2
Faculty of Medical Science, State University of Campinas, Campinas, Brazil
 
 
Submission date: 2020-09-16
 
 
Acceptance date: 2021-04-08
 
 
Publication date: 2022-02-21
 
 
Hum Mov. 2022;23(4):63-69
 
KEYWORDS
TOPICS
ABSTRACT
Purpose:
In futsal, the goal is the most important situation that can lead the teams to victory. The understanding of when they are scored can help adopting effective strategies, increasing the chances of victory. This study aimed to compare 2 models for analysing goals scored in futsal as a function of time.

Methods:
Overall, 1122 goals were analysed in 194 matches of the 2018 Brazilian Futsal League, male adult category. The playing time was divided into four 10-minute periods (conventional model) and eight 5-minute periods (alternative model). The goal occurrence was compared with mixed models of repeated measures, and the fit of models by Akaike information criterion (AIC) and Bayesian information criterion (BIC).

Results:
Both models were statistically significant (p < 0.001), indicating that the means of goals were different depending on the periods. The conventional model showed that the mean of goals was higher in the final 10 minutes (p < 0.001); the alternative model implied that from the seventh to the eighth period the mean of goals increased by 39.1% (95% CI: 0.27–0.64, p < 0.001). In addition, the 5-minute model revealed a better fit than the 10-minute model in accordance with AIC and BIC.

Conclusions:
This finding suggests that more reliable models are useful for better understanding of how the frequency of crucial events, such as goals, changes in the course of a match. We provide information for the coaching staff to strategically think about the best situations for their teams to succeed in competitive matches.

REFERENCES (34)
1.
Caetano FG, de Oliveira MJ, Marche AL, Nakamura FY, Cunha SA, Moura FA. Characterization of the sprint and repeated-sprint sequences performed by professional futsal players, according to playing position, during official matches. J Appl Biomech. 2015;31(6):423–429; doi: 10.1123/jab.2014-0159.
 
2.
Naser N, Ali A, Macadam P. Physical and physiological demands of futsal. J Exerc Sci Fit. 2017;15(2):76–80; doi: 10.1016/j.jesf.2017.09.001.
 
3.
Agras H, Ferragut C, Abraldes JA. Match analysis in futsal: a systematic review. Int J Perform Anal Sport. 2016;16(2):652–686; doi: 10.1080/24748668.2016.11868915.
 
4.
Castagna C, D’Ottavio S, Vera JG, Barbero Álvarez JC. Match demands of professional futsal: a case study. J Sci Med Sport. 2009;12(4):490–494; doi: 10.1016/j.jsams.2008.02.001.
 
5.
De Oliveira Bueno MJ, Caetano FG, Costa Pereira TJ, De Souza NM, Damasceno Moreira G, Nakamura FY, et al. Analysis of the distance covered by Brazilian professional futsal players during official matches. Sports Biomech. 2014;13(3):230–240; doi: 10.1080/14763141.2014.958872.
 
6.
Milanez VF, De Oliveira Bueno MJ, Caetano FG, Chierotti P, Franzoi De Moraes SM, Arruda Moura F. Relationship between number of substitutions, running performance and passing during under-17 and adult official futsal matches. Int J Perform Anal Sport. 2020;20(3):470–482; doi: 10.1080/24748668.2020.1761673.
 
7.
Michailidis Y, Michailidis C, Primpa E. Analysis of goals scored in European Championship 2012. J Hum Sport Exerc. 2013;8(2):367–375; doi: 10.4100/jhse.2012.82.05.
 
8.
Yiannakos A, Armatas V. Evaluation of the goal scoring patterns in European Championship in Portugal 2004. Int J Perform Anal Sport. 2006;6(1):178–188; doi: 10.1080/24748668.2006.11868366.
 
9.
Gonçalves MC. Analysis of goals in the second phase of Futsal League 2013 [in Portuguese]. Rev Bras Futsal Futebol. 2015;7(24):153–157.
 
10.
Miloski B, Pinho JP, Gobo de Freitas C, Rebouças Marcelino P, Schultz de Arruda AF. Which technical-tactical actions performed in futsal matches can discriminate the result of winning or defeat? [in Portuguese]. Rev Bras Educ Fis Esporte. 2014;28(2):203–209; doi: 10.1590/1807-55092014000200203.
 
11.
Leite WSS. Determination of offensive coefficients in high performance futsal. Serb J Sports Sci. 2013;7(4):167–172.
 
12.
Marchi R, Silva C, Scramin L, Teixeira A, Chiminazzo J. Impact of goals resulting from the counter-attack of futsal team [in Portuguese]. Conexões. 2010;8(3):16–22; doi: 10.20396/conex.v8i3.8637724.
 
13.
Souza NM, Santana WC. Analysis of the goals in futsal league games: comparison between the seasons 2013, 2014 and 2015 [in Portuguese]. Motricidade. 2018;14(S1):134–141.
 
14.
Shyodi Fukuda JP, de Santana WC. Analysis of goals in 2011 futsal league’s games [in Portuguese]. Rev Bras Futsal Futebol. 2012;4(11):62–66.
 
15.
Göral K. Analysis of Serbia UEFA Futsal Euro 2016 competitions in terms of some variables. J Educ Train Stud. 2018;6(10):1–6; doi: 10.11114/jets.v6i10.3343.
 
16.
Pinheiro AM, Gonçalves LA, Paulilo VT, Fantato Rodrigues E, Borin JP. Analysis of the volume of game in futsal athletes of world championship [in Portuguese]. Corpoconsciência. 2017;20(3):50–56.
 
17.
Petreça DR, Garcia MC, Petreça LE, Colvero S, Flores A. Scout analysis of the professional indoor soccer team in Catarinense championship [in Portuguese]. Rev Bras Futsal Futebol. 2017;9(34):265–272.
 
18.
Ohmuro T, Iso Y, Tobita A, Hirose S, Ishizaki S, Sakaue K, et al. Physical match performance of Japanese top-level futsal players in different categories and playing positions. Biol Sport. 2020;37(4):359–365; doi: 10.5114/biolsport.2020.96322.
 
19.
LNF Stats. Available from: https://ligafutsal.com.br/esta....
 
20.
Coutinho D, Gonçalves B, Travassos B, Wong DP, Coutts AJ, Sampaio JE. Mental fatigue and spatial references impair soccer players’ physical and tactical performances. Front Psychol. 2017;8:1645; doi: 10.3389/fpsyg.2017.01645.
 
21.
Van Cutsem J, Marcora S, De Pauw K, Bailey S, Meeusen R, Roelands B. The effects of mental fatigue on physical performance: a systematic review. Sports Med. 2017;47(8):1569–1588; doi: 10.1007/s40279-016-0672-0.
 
22.
Coutinho D, Gonçalves B, Wong DP, Travassos B, Coutts AJ, Sampaio J. Exploring the effects of mental and muscular fatigue in soccer players’ performance. Hum Mov Sci. 2018;58:287–296; doi: 10.1016/j.humov.2018.03.004.
 
23.
Lovell R, Barrett S, Portas M, Weston M. Re-examination of the post half-time reduction in soccer work-rate. J Sci Med Sport. 2013;16(3):250–254; doi: 10.1016/j.jsams.2012.06.004.
 
24.
Greig M, Marchant D, Lovell R, Clough P, McNaughton L. A continuous mental task decreases the physiological response to soccer-specific intermittent exercise. Br J Sports Med. 2007;41(12):908–913; doi: 10.1136/bjsm.2006.030387.
 
25.
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(2):159–168; doi: 10.1080/02640410802512775.
 
26.
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.
 
27.
Szwarc A, Oszmaniec M. A model of the efficiency of goalkeepers’ actions in futsal. Hum Mov. 2020;21(4):44–53; doi: 10.5114/hm.2020.95990.
 
28.
Pizarro D, Práxedes A, Travassos B, del Villar F, Moreno A. The effects of a nonlinear pedagogy training program in the technical-tactical behaviour of youth futsal players. Int J Sports Sci Coach. 2019;14(1):15–23; doi: 10.1177/1747954118812072.
 
29.
Brosch T, Scherer KR, Grandjean D, Sander D. The impact of emotion on perception, attention, memory, and decision-making. Swiss Med Wkly. 2013;143:w13786; doi: 10.4414/smw.2013.13786.
 
30.
Russell M, West DJ, Harper LD, Cook CJ, Kilduff LP. Half-time strategies to enhance second-half performance in team-sports players: a review and recommendations. Sports Med. 2015;45(3):353–364; doi: 10.1007/s40279-014-0297-0.
 
31.
Silva LM, Pereira Neiva H, Cardoso Marques M, Izquierdo M, Almeida Marinho D. Effects of warm-up, postwarm- up, and re-warm-up strategies on explosive efforts in team sports: a systematic review. Sports Med. 2018;48(10):2285–2299; doi: 10.1007/s40279-018-0958-5.
 
32.
McShane BB, Gal D, Gelman A, Robert C, Tackett JL. Abandon statistical significance. Am Stat. 2019; 73(Suppl. 1):235–245; doi: 10.1080/00031305.2018.1527253.
 
33.
Benjamin DJ, Berger JO, Johannesson M, Nosek BA, Wagenmakers E-J, Berk R, et al. Redefine statistical significance. Nat Hum Behav. 2018;2(1):6–10; doi: 10.1038/s41562-017-0189-z.
 
34.
Burnham KP, Anderson DR. Multimodel inference: understanding AIC and BIC in model selection. Sociol Methods Res. 2004;33(2):261–304; doi: 10.1177/0049124104268644.
 
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