REVIEW PAPER
Current understanding of critical game scenarios in team sports: systematic review
 
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Centre for Research, Education, Innovation and Intervention in Sport, Faculty of Sport, University of Porto, Porto, Portugal
 
 
Submission date: 2021-01-22
 
 
Acceptance date: 2021-08-05
 
 
Publication date: 2021-10-04
 
 
Hum Mov. 2022;23(2):1-11
 
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ABSTRACT
In sports, game scenarios can be critical or non-critical, potentially presenting very distinct implications for the game flow. However, defining a critical scenario is not an easy task. Although there is some research on game scenarios, game situations, game moments, and critical moments, through this systematic review we intend to fill a gap in the knowledge of critical scenarios in order to structure the existing knowledge and pinpoint current limitations. The search was conducted in July of 2020 in Web of Science, Scopus, PubMed, SciELO, and, through a manual search, in Google Scholar. The eligibility criteria included original research with quantitative and/or qualitative analysis of critical game scenarios or game moments. The participants were humans of any gender, age group, health status, competitive level, or expertise. Risk of bias assessment involved 14 criteria in the evaluation of the studies. The study synthesis methods followed a qualitative synthesis of the main results of each study in the final sample. Of the 279 researched articles, only 4 met the inclusion criteria, i.e. only 4 provided data concerning critical game scenarios. Their contributions are discussed in detail, as is the open research windows for the future. Overall, there is clearly a need for more research specifically addressing this topic, with a huge gap
between theoretical relevance and actual investigation.
 
REFERENCES (66)
1.
Moriarty JP. Theorising scenario analysis to improve future perspective planning in tourism. J Sustain Tour. 2012;20(6):779–800; doi: 10.1080/09669582.2012.673619.
 
2.
Spaniol MJ, Rowland NJ. Defining scenario. Futures Foresight Sci. 2019;1(1):e3; doi: 10.1002/ffo2.3.
 
3.
Laporta L, Afonso J, Valongo B, Mesquita I. Using social network analysis to assess play efficacy according to game patterns: a game-centred approach in high-level men’s volleyball. Int J Perform Anal Sport. 2019;19(5):866–877; doi: 10.1080/24748668.2019.1669007.
 
4.
Hurst M, Loureiro M, Valongo B, Laporta L, Nikolaidis TP, Afonso J. Systemic mapping of high-level women’s volleyball using social network analysis: the case of serve (K0), side-out (KI), side-out transition (KII) and transition (KIII). Int J Perform Anal Sport. 2016;16(2):695–710; doi: 10.1080/24748668.2016.11868917.
 
5.
Krane V, Joyce D, Rafeld J. Competitive anxiety, situation criticality and softball performance. Sport Psychol.1994;8(1):58–72; doi: 10.1123/tsp.8.1.58.
 
6.
Ferreira A, Volossovitch A. Criticality and critical moments in sports games: a theoretical review [in Portuguese]. In: Volossovitch A, Ferreira A (ed.), Fundamentals and applications in game analysis [in Portuguese]. Lisbon: Edições FMH; 2013; 35–60.
 
7.
Ritchie J, Basevitch I, Rodenberg R, Tenenbaum G. Situation criticality and basketball officials’ stress levels. J Sports Sci. 2017;35(21):2080–2087; doi: 10.1080/02640414.2016.1255770.
 
8.
Bar-Eli M, Tractinsky N. Criticality of game situations and decision making in basketball: an application of performance crisis perspective. Psychol Sport Exerc. 2000;1(1):27–39; doi: 10.1016/S1469-0292(00)00005-4.
 
9.
García-Unanue J, Pérez-Gómez J, Giménez J-V, Felipe JL, Gómez-Pomares S, Gallardo L, et al. Influence of contextual variables and the pressure to keep category on physical match performance in soccer players. PLoS One. 2018;13(9):e0204256; doi: 10.1371/journal.pone.0204256.
 
10.
Duarte R, Araújo D, Correia V, Davids K. Sports teams as superorganisms: implications of sociobiological models of behaviour for research and practice in team sports performance analysis. Sports Med. 2012;42(8):633–642; doi: 10.2165/11632450-000000000-00000.
 
11.
Vicsek T, Zafeiris A. Collective motion. Phys Rep. 2012;517(3–4):71–140; doi: 10.1016/j.physrep.2012.03.004.
 
12.
Gonçalves B, Marcelino R, Torres-Ronda L, Torrents C, Sampaio J. Effects of emphasising opposition and cooperation on collective movement behaviour during football small-sided games. J Sports Sci. 2016;34(14):1346–1354; doi: 10.1080/02640414.2016.1143111.
 
13.
Batista J, Goncalves B, Sampaio J, Castro J, Abade E, Travassos B. The influence of coaches’ instruction on technical actions, tactical behaviour, and external workload in football small-sided games. Monten J Sports Sci Med. 2019;8(1):29–36; doi: 10.26773/mjssm.190305.
 
14.
Nesti M, Littlewood M, O’Halloran L, Eubank M, Richardson D. Critical moments in elite premiership football: who do you think you are? Phys Cult Sport Stud Res. 2012;56(1):23–32; doi: 10.2478/v10141-012-0027-y.
 
15.
Debanne T, Laffaye G, Trouilloud D. Motivational orientations and performance in penalty throws during elite male team handball games. Scand J Med Sci Sports. 2018;28(3):1288–1294; doi: 10.1111/sms.12995.
 
16.
Stein M, Häußler J, Jäckle D, Janetzko H, Schreck T, Keim DA. Visual soccer analytics: understanding the characteristics of collective team movement based on feature-driven analysis and abstraction. Int J Geo-Inf. 2015;4(4):2159–2184; doi: 10.3390/ijgi4042159.
 
17.
Bedny GZ, Karwowski W. Activity theory as a basis for the study of work. Ergonomics. 2004;47(2):134–153; doi: 10.1080/00140130310001617921.
 
18.
Clark A. Being there: putting brain, body, and world together again. Cambridge: MIT Press; 1997.
 
19.
Robbins P, Aydede M (eds.). The Cambridge handbook on situated cognition. Cambridge: Cambridge University Press; 2009.
 
20.
Phatak A, Gruber M. Keep your head up – correlation between visual exploration frequency, passing percentage and turnover rate in elite football midfielders. Sports. 2019;7(6):139; doi: 10.3390/sports7060139.
 
21.
Lupo C, Tessitore A. How important is the final outcome to interpret match analysis data: the influence of scoring a goal, and difference between close and balance games in elite soccer: comment on Lago-Penas and Gomez-Lopez (2014). Percept Mot Skills. 2016;122(1):280–285; doi: 10.1177/0031512515626629.
 
22.
Récopé M, Fache H, Beaujouan J, Coutarel F, Rix-Lièvre G. A study of the individual activity of professional volleyball players: situation assessment and sensemaking under time pressure. Appl Ergon. 2019;80:226–237; doi: 10.1016/j.apergo.2018.07.003.
 
23.
Sánchez-Moreno J, Mesquita I, Afonso J, Millán-Sánchez A, Ureña A. Effect of the rally length on performance according to the final action and the playing level in high-level men’s volleyball. Rev Int Cienc Deporte. 2018;14(52):136–147; doi: 10.5232/ricyde2018.05204.
 
24.
Newell KM. Constraints on the development of coordination. In: Wade MG, Whiting HTA (eds.), Motor development in children: aspects of coordination and control. Dordrecht: Martinus Nijhoff Publishers; 1986;341–360.
 
25.
Araújo D, Silva P, Davids K. Capturing group tactical behaviors in expert team players. In: Baker JDF (ed.), Routledge handbook of sport expertise. New York: Routledge; 2019; 209–220.
 
26.
Gómez M-Á, García-de-Alcaráz A, Furley P. Analysis of contextual-related variables on serve and receiving performances in elite men’s and women’s table tenis players. Int J Perform Anal Sport. 2017;17(6):919–933; doi: 10.1080/24748668.2017.1407208.
 
27.
Andrienko G, Andrienko N, Budziak G, Dykes J, Fuchs G, von Landesberger T, et al. Visual analysis of pressure in football. Data Min Knowl Discov. 2017;31:1793–1839; doi: 10.1007/s10618-017-0513-2.
 
28.
Bartlett R, Button C, Robins M, Dutt-Mazumder A, Kennedy G. Analysing team coordination patterns from player movement trajectories in soccer: methodological considerations. Int J Perform Anal Sport. 2012;12(2):398–424; doi: 10.1080/24748668.2012.11868607.
 
29.
Blomqvist MT, Luhtanen P, Laakso L, Keskinen E. Validation of a video-based game-understanding test procedure in badminton. J Teach Phys Educ. 2000;19(3):325–337; doi: 10.1123/jtpe.19.3.325.
 
30.
Evans DJ, Whipp P, Lay BS. Knowledge representation and pattern recognition skills of elite adult and youth soccer players. Int J Perform Anal Sport. 2012;12(1):208–221; doi: 10.1080/24748668.2012.11868594.
 
31.
Rojas Ferrer CD, Shishido H, Kitahara I, Kameda Y. Read-the-game: system for skill-based visual exploratory activity assessment with a full body virtual reality soccer simulation. PLoS One. 2020;15(3):e0230042; doi: 10.1371/journal.pone.0230042.
 
32.
Filipcic A, Leskosek B, Filipcic T. Split-step timing of professional and junior tennis players. J Hum Kinet. 2017;55(1):97–105; doi: 10.1515/hukin-2017-0009.
 
33.
French KE, Nevett ME, Spurgeon JH, Graham KC, Rink JE, McPherson SL. Knowledge representation and problem solution in expert and novice youth baseball players. Res Q Exerc Sport. 1996;67(4):386–395; doi: 10.1080/02701367.1996.10607970.
 
34.
González-Víllora S, García-López LM, Contreras-Jordán OR. Decision making and skill development in youth football players. Rev Int Med Cienc Act Fis Deporte. 2015;15(59):467–487; doi: 10.15366/rimcafd2015.59.005.
 
35.
Klostermann A, Panchuk D, Farrow D. Perception-action coupling in complex game play: exploring the quiet eye in contested basketball jump shots. J Sports Sci. 2018;36(9):1054–1060; doi: 10.1080/02640414.2017.1355063.
 
36.
Kokoulina OP, Tatarova SY, Averyasov VV, Kruglova YV. Skills-specific competitive timeframes in rugby sport. Theory Pract Phys Cult. 2018;8:80–82.
 
37.
Koo DH, Panday SB, Xu DY, Lee CY, Kim HY. Logistic regression of wins and losses in Asia League Ice Hockey in the 2014–2015 season. Int J Perform Anal Sport. 2016;16(3):871–880; doi: 10.1080/24748668.2016.11868935.
 
38.
Lupo C, Capranica L, Cugliari G, Gomez MA, Tessitore A. Tactical, swimming activity and heart rate aspects of youth water polo game. J Sports Med Phys Fitness. 2016;56(9):997–1006.
 
39.
McPherson SL. Tactical differences in problem representations and solutions in collegiate varsity and beginner female tennis players. Res Q Exerc Sport. 1999;70(4):369–384; doi: 10.1080/02701367.1999.10608057.
 
40.
Praça GM, Alves Costa CL, Falconi Costa F, Pereira de Andrade AG, Chagas MH, Greco JP. Tactical behavior in soccer small-sided games: influence of tactical knowledge and numerical superiority. J Phys Educ. 2016;27(1):e2736; doi: 10.4025/jphyseduc.v27i1.2736.
 
41.
Schläppi-Lienhard O, Hossner E-J. Decision making in beach volleyball defense: crucial factors derived from interviews with top-level experts. Psychol Sport Exerc. 2015;16(Pt 1):60–73; doi: 10.1016/j.psychsport.2014.07.005.
 
42.
Sevil Serrano J, Práxedes Pizarro A, García-González L, Moreno Domínguez A, del Villar Álvarez F. Evolution of tactical behavior of soccer players across their development. Int J Perform Anal Sport. 2017;17(6):885–901; doi: 10.1080/24748668.2017.1406781.
 
43.
Uljevic O, Esco MR, Sekulic D. Reliability, validity, and applicability of isolated and combined sport-specific tests of conditioning capacities in top-level junior water polo athletes. J Strength Cond Res. 2014;28(6):1595–1605; doi: 10.1519/JSC.0000000000000308.
 
44.
Zubillaga A, Gabbett TJ, Fradua L, Ruiz-Ruiz C, Caro Ó, Ervilla R. Influence of ball position on playing space in Spanish elite women’s football match-play. Int J Sports Sci Coach. 2013;8(4):713–722; doi: 10.1260/1747-9541.8.4.713.
 
45.
Cañadas M, Solbes C, Feu S. Analysis of training tasks regarding game stages and situations in U´10 and U´13 categories. Rev Psicol Deporte. 2015;24(Suppl. 1):13–15.
 
46.
Connor JD, Farrow D, Renshaw I. Emergence of skilled behaviors in professional, amateur and junior cricket batsmen during a representative training scenario. Front Psychol. 2018;9:2012; doi: 10.3389/fpsyg.2018.02012.
 
47.
Ferraz R, Gonçalves B, Van Den Tillaar R, Jiménez Sáiz S, Sampaio J, Marques MC. Effects of knowing the task duration on players’ pacing patterns during soccer small-sided games. J Sports Sci. 2018;36(1):116–122; doi: 10.1080/24733938.2017.1283433.
 
48.
Gomez MA, Gasperi L, Lupo C. Performance analysis of game dynamics during the 4th game quarter of NBA close games. Int J Perform Anal Sport. 2016;16(1):249–263; doi: 10.1080/24748668.2016.11868884.
 
49.
Gonçalves B, Folgado H, Coutinho D, Marcelino R, Wong D, Leite N, et al. Changes in effective playing space when considering sub-groups of 3 to 10 players in professional soccer matches. J Hum Kinet. 2018;62(1):145–155; doi: 10.1515/hukin-2017-0166.
 
50.
Lupo C, Condello G, Tessitore A. Notational analysis of elite men’s water polo related to specific margins of victory. J Sports Sci Med. 2012;11(3):516–525.
 
51.
Millslagle DG. Recognition accuracy by experienced men and women players of basketball. Percept Mot Skills. 2002;95(1):163–172; doi: 10.2466/pms.2002.95.1.163.
 
52.
Ramos A, Coutinho P, Silva P, Davids K, Mesquita I. How players exploit variability and regularity of game actions in female volleyball teams. Eur J Sport Sci. 2017;17(4):473–481; doi: 10.1080/17461391.2016.1271459.
 
53.
Ferreira AP, Volossovitch A, Sampaio J. Towards the game critical moments in basketball: a grounded theory approach. Int J Perform Anal Sport. 2014;14(2):428–442; doi: 10.1080/24748668.2014.11868732.
 
54.
Medina JÁ, Lorente VM, San José JR, Jiménez MA. Critical moments of the match in the best European football leagues [in Spanish]. Retos. 2020;38:77–82; doi: 10.47197/retos.v38i38.73001.
 
55.
Reina M, Mancha D, Feu S, Ibáñez SJ. Is training carried out the same as competition? Analysis of load in women’s basketball [in Spanish]. Rev Psicol Deporte. 2017;26(Suppl. 1):9–13.
 
56.
Pombo Menezes R, Baldy dos Reis HH. Defensive performance against different offensive systems in handball: analysis of technical-tactical scenario and reflections on teaching [in Portuguese]. Rev Bras Cienc Esporte. 2017;39(2):168–175; doi: 10.1016/j.rbce.2017.02.003.
 
57.
Sarajärvi J, Volossovitch A, Almeida CH. Analysis of headers in high-performance football: evidence from the English Premier League. Int J Perform Anal Sport. 2020;20(2):189–205; doi: 10.1080/24748668.2020.1736409.
 
58.
Villemain A, Hauw D. A situated analysis of football goalkeepers’ experiences in critical game situations. Percept Mot Skills. 2014;119(3):811–824; doi: 10.2466/25.30.PMS.119c30z0.
 
59.
Clemente FM, Afonso J, Castillo D, Los Arcos A, Silva AF, Sarmento H. The effects of small-sided soccer games on tactical behavior and collective dynamics: a systematic review. Chaos Solit Fractals. 2020;134:109710; doi: 10.1016/j.chaos.2020.109710.
 
60.
Sarmento H, Marcelino R, Anguera MT, Campaniço J, Matos N, Leitão JC. Match analysis in football: a systematic review. J Sports Sci. 2014;32(20):1831–1843; doi: 10.1080/02640414.2014.898852.
 
61.
Williams AM, Davids K. Visual search strategy, selective attention, and expertise in soccer. Res Q Exerc Sport. 1998;69(2):111–128; doi: 10.1080/02701367.1998.10607677.
 
62.
Sánchez-Moreno J, Marcelino R, Mesquita I, Ureña A. Analysis of the rally length as a critical incident of the game in elite male volleyball. Int J Perform Anal Sport. 2015;15(2):620–631; doi: 10.1080/24748668.2015.11868819.
 
63.
Atance CM, O’Neill DK. The emergence of episodic future thinking in humans. Learn Motiv. 2005;36(2):126–144; doi: 10.1016/j.lmot.2005.02.003.
 
64.
Duarte R, Araújo D, Freire L, Folgado H, Fernandes O, Davids K. Intra- and inter-group coordination patterns reveal collective behaviors of football players near the scoring zone. Hum Mov Sci. 2012;31(6):1639–1651; doi: 10.1016/j.humov.2012.03.001.
 
65.
Evans MB, Eys MA. Collective goals and shared tasks: interdependence structure and perceptions of individual sport team environments. Scand J Med Sci Sports. 2015;25(1):e139–e148; doi: 10.1111/sms.12235.
 
66.
Neville TJ, Salmon PM. Never blame the umpire – a review of situation awareness models and methods for examining the performance of officials in sport. Ergonomics. 2016;59(7):962–975; doi: 10.1080/00140139.2015.1100758.
 
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