Skip to main content
Hauptrubriken
CME Facharzt-Training Webinare Zeitschriften Bücher e.Medpedia Podcast
Service
Jobbörse Info & Hilfe
Fachgebiete
Anästhesiologie Allgemeinmedizin Arbeitsmedizin Augenheilkunde Chirurgie Dermatologie Gynäkologie und Geburtshilfe HNO Innere Medizin Kardiologie Neurologie Onkologie und Hämatologie Orthopädie und Unfallchirurgie Pädiatrie Pathologie Psychiatrie Radiologie Rechtsmedizin Urologie Zahnmedizin
Themen
Klimawandel und Gesundheit Neues aus dem Markt COVID-19 Praxis und Beruf Seltene Erkrankungen GOÄ & EBM Panorama
Sammlungen
Kasuistiken Algorithmen & Infografiken Blickdiagnosen Arthropedia FlapFinder (für Dermatochirurgen) Videos Kongressberichterstattung Medizin für Apothekerinnen und Apotheker Für Ärztinnen und Ärzte in Weiterbildung Für Medizinstudierende
Erweiterte Suche
Anmelden
nach oben
Sports Medicine
Erschienen in: Sports Medicine 2/2020

30.09.2019 | Systematic Review

A Systematic Review of Collective Tactical Behaviours in Football Using Positional Data

verfasst von: Benedict Low, Diogo Coutinho, Bruno Gonçalves, Robert Rein, Daniel Memmert, Jaime Sampaio

Erschienen in: Sports Medicine | Ausgabe 2/2020

Einloggen, um Zugang zu erhalten

Abstract

Background

Performance analysis research in association football has recently cusped a paradigmatic shift in the way tactical behaviours are studied. Based on insights from system complexity research, a growing number of studies now analyse tactical behaviours in football based on the collective movements of team players.

Objective

The aim of this systematic review is to provide a summary of empirical research on collective tactical behaviours in football, with a particular focus on organising the methods used and their key findings.

Methods

A systematic search of relevant English-language articles was performed on one database (Web of Science Core Collection) and one search engine (PubMed), based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines. The keywords ‘football’ and ‘soccer’ were each paired with all possible combinations of the following keywords: ‘collective movement behaviour’, ‘collective behaviour’, ‘tactical behaviour’, ‘interpersonal coordination’, ‘space’, ‘Voronoi’, ‘synchronisation’, ‘tactical analysis’, ‘constraints’, ‘ecological dynamics’, and ‘dynamic positioning’. Empirical studies that were related to tactical analyses of footballers’ positional data were sought for inclusion and analysis.

Results

Full-text articles of 77 studies were reviewed. A total of 27 tactical variables were identified, which were subsequently organised into 6 categories. In addition to conventional methods of linear analysis, 11 methods of nonlinear analysis were also used, which can be organised into measures of predictability (4 methods) and synchronisation (7 methods). The key findings of the reviewed studies were organised into two themes: levels of analysis, and levels of expertise.

Conclusions

Some trends in key findings revealed the following collective behaviours as possible indicators of better tactical expertise: higher movement regularity; wider dispersion in youth players and shorter readjustment delay between teammates and opponents. Characteristic behaviours were also observed as an effect of playing position, numerical inequality, and task constraints. Future research should focus on contextualising positional data, incorporating the needs of coaching staff, to better bridge the research-practice gap.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Di Salvo V, Collins A, McNeill B, Cardinale M. Validation of Prozone®: a new video-based performance analysis system. Int J Perf Anal Spor. 2006;6:1.
2.
Memmert D, Rein R. Match analysis, Big Data and tactics: current trends in elite soccer. German J Sport Med. 2018;69:65–72.
3.
Castellano J, Alvarez-Pastor D, Bradley PS. Evaluation of research using computerised tracking systems (Amisco® and Prozone®) to analyse physical performance in elite soccer: a systematic review. Sports Med. 2014;44(5):701–12.CrossRefPubMed
4.
Barris S, Button C. A review of vision-based motion analysis in sport. Sports Med. 2008;38(12):1025–43.CrossRefPubMed
5.
Coutts AJ, Duffield R. Validity and reliability of GPS devices for measuring movement demands of team sports. J Sci Med Sport. 2010;13(1):133–5.CrossRefPubMed
6.
Aughey RJ. Applications of GPS technologies to field sports. Int J Sports Physiol Perform. 2011;2011(6):295–310.CrossRef
7.
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):565–9.CrossRefPubMed
8.
Castellano J, Casamichana D, Calleja-González J, Román JS, Ostojic SM. Reliability and accuracy of 10 Hz GPS devices for short-distance exercise. J Sports Sci Med. 2011;10(1):233–4.PubMedPubMedCentral
9.
Frencken WG, Lemmink KA, Delleman NJ. Soccer-specific accuracy and validity of the local position measurement (LPM) system. J Sci Med Sport. 2010;13(6):641–5.CrossRefPubMed
10.
Sathyan T, Shuttleworth R, Hedley M, Davids K. Validity and reliability of a radio positioning system for tracking athletes in indoor and outdoor team sports. Behav Res Methods. 2012;44(4):1108–14.CrossRefPubMed
11.
Carling C, Bloomfield J, Nelsen L, Reilly T. The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Med. 2008;38(10):839–62.CrossRefPubMed
12.
Memmert D, Lemmink KAPM, Sampaio J. Current approaches to tactical performance analyses in soccer using position data. Sports Med. 2017;47(1):1–10.CrossRefPubMed
13.
Rein R, Memmert D. Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science. Springerplus. 2016;5(1):1410.CrossRefPubMedPubMedCentral
14.
Sarmento H, Clemente FM, Araújo D, Davids K, McRobert A, Figueiredo A. What performance analysts need to know about research trends in association football (2012–2016): a systematic review. Sports Med. 2018;48(4):799–836.CrossRefPubMed
15.
Rein R, Perl R, Memmert D. Maybe a tad early for a Grand Unified theory: Commentary on “Towards a Grand Unified Theory of sports performance” by Paul S. Glazier. Hum Move Sci. 2017;56:173–5.CrossRef
16.
Lames M, McGarry T. On the search for reliable performance indicators in game sports. Int J Perform Anal Sport. 2007;7(1):62–79.CrossRef
17.
Davids K, Araújo D, Shuttleworth R. Applications of dynamical systems theory to football. Sci Footb. 2005;537:550.
18.
McGarry T, Anderson DI, Wallace SA, Hughes MD, Franks IM. Sport competition as a dynamical self-organizing system. J Sports Sci. 2002;20(10):771–81.CrossRefPubMed
19.
Glazier PS. Game, set and match? Substantive issues and future directions in performance analysis. Sports Med. 2010;40(8):625–34.CrossRefPubMed
20.
Grehaigne JF, Bouthier D, David B. Dynamic-system analysis of opponent relationships in collective actions in soccer. J Sports Sci. 1997;15(2):137–49.CrossRefPubMed
21.
Garganta J. Trends of tactical performance analysis in team sports: bridging the gap between research, training and competition. Revista Portuguesa de Ciências do Desporto. 2009;9:81–9.CrossRef
22.
Perl J, Memmert D. Soccer: Process and interaction. In: Baca A, Perl J (eds) Modelling and simulation in sport and exercise, 2018; Abingdon: Routledge pp. 73–94.
23.
Gréhaigne J-F, Godbout P. Collective variables for analysing performance in team sports. Routledge handbook of sports performance analysis. Abingdon: Routledge; 2013.
24.
Duarte R, Araújo D, Correia V, Davids K. Sports teams as superorganisms. Sports Med. 2012;42(8):633–42.CrossRefPubMed
25.
Newell KM. Constraints on the development of coordination. In: Wade MG, Whiting HTA, editors. Motor development in children: aspects of coordination and control. Dordrecht: Martinus Nijhoff Publishers; 1986. p. 341–60.CrossRef
26.
Travassos B, Davids K, Araújo D, Esteves PT. Performance analysis in team sports: advances from an ecological dynamics approach. Int J Perform Anal Sport. 2013;13(1):83–95.CrossRef
27.
Davids K, Araujo D, Vilar L, Renshaw I, Pinder R. An ecological dynamics approach to skill acquisition: implications for development of talent in sport. Talent Dev Excell. 2013;5(1):21–34.
28.
Araújo D, Davids K, Hristovski R. The ecological dynamics of decision making in sport. Psychol Sport Exerc. 2006;7(6):653–76.CrossRef
29.
Vilar L, Araujo D, Davids K, Button C. The role of ecological dynamics in analysing performance in team sports. Sports Med. 2012;42(1):1–10.CrossRefPubMed
30.
Gibson J. The ecological approach to visual perception. Dallas: Houghtom Mifflin; 1979.
31.
Fajen BR, Riley MA, Turvey MT. Information, affordances, and the control of action in sport. Int J Sport Psychol. 2009;40(1):79.
32.
Gréhaigne J-F, Godbout P, Bouthier D. The foundations of tactics and strategy in team sports. J Teach Phys Educ. 1999;18(2):159–74.CrossRef
33.
Gréhaigne J-F, Godbout P. Tactical knowledge in team sports from a constructivist and cognitivist perspective. Quest. 1995;47(4):490–505.CrossRef
34.
Hibbs A, O’Donoghue P. Strategy and Tactics in sports performance. Routledge handbook of sports performance analysis. Abingdon: Routledge; 2013.
35.
Memmert D, König S. Models of game intelligence and creativity in sport: Implications for skill acquisition. In: Hodges NJ, Williams AM, editors. Skill acquisition in sport: Research, theory and practice. 3 ed. Abingdon: Routledge; 2019. p. 220–36.
36.
Gibson JJ. The senses considered as perceptual systems. Oxford, England: Houghton Mifflin; 1966.
37.
Araujo D, Davids K, Cordovil R, Ribeiro J, Fernandes O. How does knowledge constrain sport performance? An ecological perspective. In: Araújo D, Ripoll H, Raab M, editors. Perspectives on cognition and action in sport. New York: Nova Science Publishers Hauppauge; 2009. p. 119–31.
38.
39.
Gréhaigne J-F, Godbout P, Bouthier D. The teaching and learning of decision making in team sports. Quest. 2001;53(1):59–76.CrossRef
40.
Silva P, Garganta J, Araujo 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):765–72.CrossRefPubMed
41.
MacKenzie R, Cushion C. Performance analysis in football: a critical review and implications for future research. J Sports Sci. 2013;31(6):639–76.CrossRefPubMed
42.
Sarmento H, Marcelino R, Anguera MT, CampaniCo J, Matos N, LeitAo JC. Match analysis in football: a systematic review. J Sports Sci. 2014;32(20):1831–43.CrossRefPubMed
43.
Ometto L, Vasconcellos FV, Cunha FA, Teoldo I, Souza CRB, Dutra MB, et al. How manipulating task constraints in small-sided and conditioned games shapes emergence of individual and collective tactical behaviours in football: A systematic review. Int J Sports Sci Coach. 2018;13(6):1200–14.CrossRef
44.
Sarmento H, Clemente FM, Harper LD, Costa ITd, Owen A, Figueiredo AJ. Small sided games in soccer – a systematic review. Int J Perf Anal Spor. 2018;18(5):1–57.
45.
Clemente F, Couceiro M, Martins F, Mendes R. An Online Tactical Metrics Applied to Football Game. Res J Appl Sci Eng Technol. 2013;5(5):1700–19.CrossRef
46.
Yue Z, Broich H, Seifriz F, Mester J. Mathematical analysis of a soccer game. Part I: individual and collective behaviors. Stud Appl Math. 2008;121(3):223–43.CrossRef
47.
Yue Z, Broich H, Seifriz F, Mester J. Mathematical analysis of a soccer game. Part II: energy, spectral, and correlation analyses. Stud Appl Math. 2008;121(3):245–61.CrossRef
48.
Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JPA, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009;6(7):e1000100.CrossRefPubMedPubMedCentral
49.
Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.CrossRefPubMedPubMedCentral
50.
Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas. 1960;20(1):37–46.CrossRef
51.
Travassos B, Vilar L, Araujo D, McGarry T. Tactical performance changes with equal vs unequal numbers of players in small-sided football games. Int J Perform Anal Sport. 2014;14(2):594–605.CrossRef
52.
Silva P, Chung D, Carvalho T, Cardoso T, Davids K, Araujo D, et al. Practice effects on intra-team synergies in football teams. Hum Mov Sci. 2016;46:39–51.CrossRefPubMed
53.
Clemente FM, Santos Couceiro M, Lourenço Martins FM, Dias G, Mendes R. Interpersonal dynamics: 1v1 sub-phase at sub-18 football players. J Hum Kinet. 2013;36:181–91.CrossRef
54.
Menuchi MRTP, Moro ARP, Ambrósio PE, Pariente CAB, Araújo D. Effects of spatiotemporal constraints and age on the interactions of soccer players when competing for ball possession. J Sports Sci Med. 2018;17(3):379–91.PubMedPubMedCentral
55.
Laakso T, Travassos B, Liukkonen J, Davids K. Field location and player roles as constraints on emergent 1-vs-1 interpersonal patterns of play in football. Hum Mov Sci. 2017;54:347–53.CrossRefPubMed
56.
Headrick J, Davids K, Renshaw I, Araújo D, Passos P, Fernandes O. Proximity-to-goal as a constraint on patterns of behaviour in attacker–defender dyads in team games. J Sports Sci. 2012;30(3):247–53.CrossRefPubMed
57.
Shafizadeh M, Davids K, Correia V, Wheat J, Hizan H. Informational constraints on interceptive actions of elite football goalkeepers in 1v1 dyads during competitive performance. J Sports Sci. 2016;34(17):1596–601.CrossRefPubMed
58.
Duarte R, Araujo D, Davids K, Travassos B, Gazimba V, Sampaio J. Interpersonal coordination tendencies shape 1-vs-1 sub-phase performance outcomes in youth soccer. J Sports Sci. 2012;30(9):871–7.CrossRefPubMed
59.
Castellano J, Casamichana D. What are the differences between first and second divisions of Spanish football teams? Int J Perform Anal Sport. 2015;2015(15):135–46.CrossRef
60.
Olthof SBH, Frencken WGP, Lemmink K. Match-derived 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):1557–63.CrossRefPubMed
61.
Fradua L, Zubillaga A, Caro O, Ivan Fernandez-Garcia A, Ruiz-Ruiz C, Tenga A. Designing small-sided games for training tactical aspects in soccer: extrapolating pitch sizes from full-size professional matches. J Sports Sci. 2013;31(6):573–81.CrossRefPubMed
62.
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;2013(8):713–22.CrossRef
63.
Santos P, Lago-Penas C, Garcia-Garcia O. The influence of situational variables on defensive positioning in professional soccer. Int J Perform Anal Sport. 2017;17(3):212–9.CrossRef
64.
Sampaio J, Maçãs V. Measuring tactical behaviour in football. Int J Sports Med. 2012;33(5):395–401.CrossRefPubMed
65.
Aguiar M, Gonçalves B, Botelho G, Lemmink K, Sampaio J. Footballers’ movement behaviour during 2-, 3-, 4- and 5-a-side small-sided games. J Sports Sci. 2015;33(12):1259–66.CrossRefPubMed
66.
Gonçalves BV, Figueira BE, Maças V, Sampaio J. Effect of player position on movement behaviour, physical and physiological performances during an 11-a-side football game. J Sports Sci. 2014;32(2):191–9.CrossRefPubMed
67.
Clemente FM, Couceiro MS, Martins FML, Mendes RS, Figueiredo AJ. Using collective metrics to inspect spatio-temporal relationships between football players. S Afr J Res Sport Phys Educ Recreat. 2014;36(2):47–59.
68.
Clemente F, Santos-Couceiro M, Lourenco-Martins F, Sousa R, Figueiredo A. Intelligent systems for analyzing soccer games: the weighted centroid. Ingenieria E Investigacion. 2014;34(3):70–5.CrossRef
69.
Clemente FM, Couceiro MS, Martins FML, Mendes R, Figueiredo AJ. Measuring tactical behaviour using technological metrics: case study of a football game. Int J Sports Sci Coach. 2013;2013(8):723–40.CrossRef
70.
Clemente MF, Couceiro SM, Martins FML, Mendes R, Figueiredo AJ. Measuring collective behaviour in football teams: inspecting the impact of each half of the match on ball possession. Int J Perform Anal Sport. 2013;13(3):678–89.CrossRef
71.
Silva P, Travassos B, Vilar L, Aguiar P, Davids K, Araujo D, et al. Numerical relations and skill level constrain co-adaptive behaviors of agents in sports teams. PLoS One. 2014;9(9):e107112.CrossRefPubMedPubMedCentral
72.
Silva P, Duarte R, Sampaio J, Aguiar P, Davids K, Araujo D, et al. Field dimension and skill level constrain team tactical behaviours in small-sided and conditioned games in football. J Sports Sci. 2014;32(20):1888–96.CrossRefPubMed
73.
Silva P, Esteves P, Correia V, Davids K, Araujo D, Garganta J. Effects of manipulations of player numbers vs. field dimensions on inter-individual coordination during small-sided games in youth football. Int J Perform Anal Sport. 2015;15(2):641–59.CrossRef
74.
Vilar L, Duarte R, Silva P, Chow JY, Davids K. The influence of pitch dimensions on performance during small-sided and conditioned soccer games. J Sports Sci. 2014;32(19):1751–9.CrossRefPubMed
75.
Vilar L, Esteves PT, Travassos B, Passos P, Lago-Peñas C, Davids K. Varying numbers of players in small-sided soccer games modifies action opportunities during training. Int J Sports Sci Coach. 2014;9(5):1007–18.CrossRef
76.
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):1346–54.CrossRefPubMed
77.
Frencken W, Lemmink K, Delleman N, Visscher C. Oscillations of centroid position and surface area of soccer teams in small-sided games. Eur J Sport Sci. 2011;11(4):215–23.CrossRef
78.
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.CrossRef
79.
Moura FA, Martins LE, Anido Rde O, de Barros RM, Cunha SA. Quantitative analysis of Brazilian football players’ organisation on the pitch. Sports Biomech. 2012;11(1):85–96.CrossRefPubMed
80.
Castellano J, Alvarez D, Figueira B, Coutinho D, Sampaio J. Identifying the effects from the quality of opposition in a football team positioning strategy. Int J Perform Anal Sport. 2013;13(3):822–32.CrossRef
81.
Folgado H, Lemmink K, Frencken W, Sampaio J. Length, width and centroid distance as measures of teams tactical performance in youth football. Eur J Sport Sci. 2014;14:S487–92.CrossRefPubMed
82.
Clemente FM, Martins FML, Couceiro MS, Mendes RS, Figueiredo AJ. Developing a tactical metric to estimate the defensive area of soccer teams: the defensive play area. Proc Inst Mech Eng Part P J Sports Eng Technol. 2016;230(2):124–32.
83.
Olthof SB, Frencken WG, Lemmink KA. The older, the wider: on-field tactical behavior of elite-standard youth soccer players in small-sided games. Hum Mov Sci. 2015;41:92–102.CrossRefPubMed
84.
Silva P, Vilar L, Davids K, Araujo D, Garganta J. Sports teams as complex adaptive systems: manipulating player numbers shapes behaviours during football small-sided games. Springerplus. 2016;5:191.CrossRefPubMedPubMedCentral
85.
Gonçalves B, Esteves P, Folgado H, Ric A, Torrents C, Sampaio J. Effects of pitch area-restrictions on tactical behavior, physical, and physiological performances in soccer large-sided games. J Strength Cond Res. 2017;31(9):2398–408.CrossRefPubMed
86.
Taki T, Hasegawa J. Visualization of dominant region in team games and its application to teamwork analysis. Proc Comput Graph Int. 2000;227–35.
87.
Taki T, Hasegawa J. Dominant region: a basic feature for group motion analysis and its application to teamwork evaluation in soccer games. In: Electronic imaging ‘99; SPIE; 1998. p. 10.
88.
Taki T, Hasegawa J. Quantitative measurement of teamwork in ball games using dominant region. ISPRS J Photogramm. 2000;33:125–31.
89.
Rein R, Raabe D, Memmert D. “Which pass is better?” Novel approaches to assess passing effectiveness in elite soccer. Hum Mov Sci. 2017;55:172–81.CrossRefPubMed
90.
Filetti C, Ruscello B, D’Ottavio S, Fanelli V. A study of relationships among technical, tactical, physical parameters and final outcomes in elite soccer matches as analyzed by a semiautomatic video tracking system. Percept Mot Skills. 2017;124(3):601–20.CrossRefPubMed
91.
92.
Gonçalves B, Coutinho D, Santos S, Lago-Penas C, Jiménez S, Sampaio J. Exploring team passing networks and player movement dynamics in Youth Association Football. PLoS One. 2017;12(1):e0171156.CrossRefPubMedPubMedCentral
93.
Vilar L, Araújo D, Davids K, Bar-Yam Y. Science of winning soccer: emergent pattern-forming dynamics in association football. J Syst Sci Complex. 2013;26(1):73–84.CrossRef
94.
Clemente FM, Martins FML, Couceiro MS, Mendes RS, Figueiredo AJ. Evaluating the offensive definition zone in football: a case study. S Afr J Res Sport Phys Educ Recreat (SAJR SPER). 2014;36(3):25–37.
95.
Clemente FM, Martins FML, Couceiro MS, Mendes RS, Figueiredo AJ. Inspecting teammates’ coverage during attacking plays in a football game: a case study. Int J Perform Anal Sport. 2014;14(2):384–400.CrossRef
96.
Ribeiro J, Davids K, Araújo D, Silva P, Ramos J, Lopes R, et al. The role of hypernetworks as a multilevel methodology for modelling and understanding dynamics of team sports performance. Sports Med. 2019;49(9):1337–44.CrossRef
97.
Ramos J, Lopes RJ, Marques P, Araújo D. Hypernetworks reveal compound variables that capture cooperative and competitive interactions in a soccer match. Front Psychol. 2017;8:1379.CrossRefPubMedPubMedCentral
98.
Stergiou N, Buzzi U, Kurz M, Heidel J. Nonlinear tools in human movement. In: Stergiou N, editor. Innovative analyses of human movement: analytical tools for human movement research. 1st ed. Champaign: Human Kinetics; 2004. p. 63–90.
99.
Richman JS, Moorman JR. Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol. 2000;2000(278):H2039–49.CrossRef
100.
Richman JS, Lake DE, Moorman JR. Sample entropy. Methods enzymol. Cambridge: Academic Press; 2004. p. 172–84.
101.
Yentes JM, Hunt N, Schmid KK, Kaipust JP, McGrath D, Stergiou N. The appropriate use of approximate entropy and sample entropy with short data sets. Ann Biomed Eng. 2013;41(2):349–65.CrossRefPubMed
102.
Aguiar M, Gonçalves B, Botelho G, Duarte R, Sampaio J. Regularity of interpersonal positioning discriminates short and long sequences of play in small-sided soccer games. Sci Med Footb. 2017;1(3):258–64.CrossRef
103.
Barnabe L, Volossovitch A, Duarte R, Ferreira AP, Davids K. Age-related effects of practice experience on collective behaviours of football players in small-sided games. Hum Mov Sci. 2016;48:74–81.CrossRefPubMed
104.
Silva P, Aguiar P, Duarte R, Davids K, Araújo D, Garganta J. Effects of pitch size and skill level on tactical behaviours of association football players during small-sided and conditioned games. Int J Sports Sci Coach. 2014;9(5):993–1006.CrossRef
105.
Leser R, Moser B, Hoch T, Stogerer J, Kellermayr G, Reinsch S, et al. Expert-oriented modelling of a 1vs1-situation in football. Int J Perform Anal Sport. 2015;15(3):949–66.CrossRef
106.
Siegle M, Lames M. Modeling soccer by means of relative phase. J Syst Sci Complex. 2013;26(1):14–20.CrossRef
107.
Clemente FM, Sequeiros JB, Correia A, Serra-Olivares J, González-Víllora S, Silva F, et al. How dots behave in two different pitch sizes? Analysis of tactical behavior based on position data in two soccer field sizes ¿Cómo se comportan los puntos en dos campos diferentes? Análisis del comportamiento táctico basado en los datos de posición en dos tamaños de campo de fútbol. RICYDE Revista Internacional de Ciencias del Deporte. 2018;14(51):16–28.CrossRef
108.
Castellano J, Fernandez E, Echeazarra I, Barreira D, Garganta J. Influence of pitch length on inter- and intra-team behaviors in youth soccer. Anales De Psicologia. 2017;33(3):486–96.CrossRef
109.
Hill-Haas SV, Dawson B, Impellizzeri FM, Coutts AJ. Physiology of small-sided games training in football: a systematic review. Sports Med. 2011;41(3):199–220.CrossRefPubMed
110.
Bujalance-Moreno P, Latorre-Roman PA, Garcia-Pinillos F. A systematic review on small-sided games in football players: acute and chronic adaptations. J Sports Sci. 2018;29:1–29.
111.
Sampaio JE, Lago C, Gonçalves B, Maçãs VM, Leite N. Effects of pacing, status and unbalance in time motion variables, heart rate and tactical behaviour when playing 5-a-side football small-sided games. J Sci Med Sport. 2014;17(2):229–33.CrossRefPubMed
112.
Castellano J, Silva P, Usabiaga O, Barreira D. The influence of scoring targets and outer-floaters on attacking and defending team dispersion, shape and creation of space during small-sided soccer games. J Hum Kinet. 2016;51(1):153–63.CrossRefPubMedPubMedCentral
113.
Folgado H, Duarte R, Marques P, Gonçalves B, Sampaio J. Exploring how movement synchronization is related to match outcome in elite professional football. Sci Med Footb. 2018;2(2):101–7.CrossRef
114.
Folgado H, Duarte R, Marques P, Sampaio J. The effects of congested fixtures period on tactical and physical performance in elite football. J Sports Sci. 2015;33(12):1238–47.CrossRefPubMed
115.
Travassos B, Gonçalves B, Marcelino R, Monteiro R, Sampaio J. How perceiving additional targets modifies teams’ tactical behavior during football small-sided games. Hum Mov Sci. 2014;38:241–50.CrossRefPubMed
116.
Tenga A, Zubillaga A, Caro O, Fradua L. Explorative study on patterns of game structure in male and female matches from elite Spanish soccer. Int J Perform Anal Sport. 2015;15(1):411–23.CrossRef
117.
Ric A, Torrents C, Gonçalves B, Sampaio J, Hristovski R. Soft-assembled multilevel dynamics of tactical behaviors in soccer. Front Psychol. 2016;7:1513.CrossRefPubMedPubMedCentral
118.
Frencken W, Poel H, Visscher C, Lemmink K. Variability of inter-team distances associated with match events in elite-standard soccer. J Sports Sci. 2012;30(12):1207–13.CrossRefPubMed
119.
Duarte R, Araújo D, Folgado H, Esteves P, Marques P, Davids K. Capturing complex, non-linear team behaviours during competitive football performance. J Syst Sci Complex. 2013;26(1):62–72.CrossRef
120.
Duarte R, Araujo D, Correia V, Davids K, Marques P, Richardson MJ. Competing together: assessing the dynamics of team-team and player-team synchrony in professional association football. Hum Mov Sci. 2013;32(4):555–66.CrossRefPubMed
121.
Duarte R, Araujo 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):1639–51.CrossRefPubMed
122.
Frencken W, Van Der Plaats J, Visscher C, Lemmink K. Size matters: pitch dimensions constrain interactive team behaviour in soccer. J Syst Sci Complex. 2013;26(1):85–93.CrossRef
123.
Ouellette J. Principles of play for soccer. Strategies. 2004;17(3):26.CrossRef
124.
Moura FA, van Emmerik REA, Santana JE, Martins LEB, Barros RMLD, Cunha SA. Coordination analysis of players’ distribution in football using cross-correlation and vector coding techniques. J Sports Sci. 2016;34(24):2224–32.CrossRefPubMed
125.
Low B, Vilas Boas G, Meyer L, Lizaso E, Hoitz F, Leite N, et al. Exploring the effects of deep-defending vs high-press on footballers tactical behaviour, physical and physiological performance: a pilot study. Motriz: Revista de Educação Física; 2018. p. 24.
126.
Folgado H, Duarte R, Fernandes O, Sampaio J. Competing with lower level opponents decreases intra-team movement synchronization and time-motion demands during pre-season soccer matches. PLoS One. 2014;9(5):e97145.CrossRefPubMedPubMedCentral
127.
Palucci Vieira LH, Aquino R, Moura FA, Barros RML, Arpini VM, Oliveira LP, et al. Team Dynamics, Running, and Skill-Related Performances of Brazilian U11 to Professional Soccer Players During Official Matches. J Strength Cond Res. 2018;33(8):2202–16.CrossRef
128.
Folgado H, Goncalves B, Sampaio J. Positional synchronization affects physical and physiological responses to preseason in professional football (soccer). Res Sports Med. 2018;26(1):51–63.CrossRefPubMed
129.
Aquino RLQT, Goncalves LGC, Vieira LHP, Oliveira LP, Alves GF, Santiago PRP, et al. Periodization training focused on technical-tactical ability in young soccer players positively affects biochemical markers and game performance. J Strength Cond Res. 2016;30(10):2723–32.CrossRef
130.
Coutinho D, Santos S, Goncalves B, Travassos B, Wong DP, Schollhorn W, et al. The effects of an enrichment training program for youth football attackers. PLoS One. 2018;13(6):e0199008.CrossRefPubMedPubMedCentral
131.
Santos S, Coutinho D, Goncalves B, Schollhorn W, Sampaio J, Leite N. Differential learning as a key training approach to improve creative and tactical behavior in soccer. Res Q Exerc Sport. 2018;89(1):11–24.CrossRefPubMed
132.
Santos S, Jiménez S, Sampaio J, Leite N. Effects of the Skills4Genius sports-based training program in creative behavior. PLoS One. 2017;12(2):e0172520.CrossRefPubMedPubMedCentral
133.
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;58:287–96.CrossRefPubMed
134.
Figueira B, Gonçalves B, Masiulis N, Sampaio J. Exploring how playing football with different age groups affects tactical behaviour and physical performance. Biol Sport. 2018;35(2):145–53.PubMed
135.
Gonçalves B, Folgado H, Coutinho D, Marcelino R, Wong D, Leite N, et al. Changes in effective playing space when considering sub-groups of 3–10 players in professional soccer matches. J Hum Kinet. 2018;62(1):145–55.CrossRefPubMedPubMedCentral
136.
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.CrossRefPubMedPubMedCentral
137.
Ric A, Torrents C, Gonçalves B, Torres-Ronda L, Sampaio J, Hristovski R. Dynamics of tactical behaviour in association football when manipulating players’ space of interaction. PLoS One. 2017;12(7):e0180773.CrossRefPubMedPubMedCentral
138.
Aquino RL, Goncalves LG, Vieira LH, Oliveira LP, Alves GF, Santiago PR, et al. Biochemical, physical and tactical analysis of a simulated game in young soccer players. J Sports Med Phys Fit. 2016;56(12):1554–61.
139.
Moura FA, Martins LE, Anido RO, Ruffino PR, Barros RM, Cunha SA. A spectral analysis of team dynamics and tactics in Brazilian football. J Sports Sci. 2013;31(14):1568–77.CrossRefPubMed
140.
141.
Pincus SM, Goldberger AL. Physiological time-series analysis: what does regularity quantify? Am J Physiol Heart Circ Physiol. 1994;266(4):H1643–56.CrossRef
142.
Shannon CE. A mathematical theory of communication. Bell Syst Tech J. 1948;27(3):379–423.CrossRef
143.
Palut Y, Zanone PG. A dynamical analysis of tennis: concepts and data. J Sports Sci. 2005;23(10):1021–32.CrossRefPubMed
144.
Derrick T, Thomas J. Time series analysis: the cross-correlation function. In: Stergiou N, editor. Innovative analyses of human movement: analytical tools for human movement research. 1st ed. Champaign: Human Kinetics; 2004. p. 189–205.
145.
Sparrow WA, Donovan E, van Emmerik R, Barry EB. Using relative motion plots to measure changes in intra-limb and inter-limb coordination. J Mot Behav. 1987;19(1):115–29.CrossRefPubMed
146.
Hamill J, Haddad JM, McDermott WJ. Issues in quantifying variability from a dynamical systems perspective. J Appl Biomech. 2000;16(4):407–18.CrossRef
147.
Cover TM, Thomas JA. Entropy, relative entropy and mutual information. In: Schilling DL, editor. Elements of information theory. 1st ed. New York: Wiley; 1991. p. 12–49.CrossRef
148.
Kuramoto Y, Nishikawa I. Statistical macrodynamics of large dynamical systems. Case of a phase transition in oscillator communities. J Stat Phys. 1987;49(3):569–605.CrossRef
149.
Frank TD, Richardson MJ. On a test statistic for the Kuramoto order parameter of synchronization: an illustration for group synchronization during rocking chairs. Phys D Nonlinear Phenom. 2010;239(23):2084–92.CrossRef
150.
151.
Perl J, Memmert D. Key performance indicators. In: Baca A, Perl J (eds) Modelling and Simulation in Sport and Exercise, 2018; Abingdon: Routledge, pp. 146–166.
Metadaten
Titel
A Systematic Review of Collective Tactical Behaviours in Football Using Positional Data
verfasst von
Benedict Low
Diogo Coutinho
Bruno Gonçalves
Robert Rein
Daniel Memmert
Jaime Sampaio
Publikationsdatum
30.09.2019
Verlag
Springer International Publishing
Erschienen in
Sports Medicine / Ausgabe 2/2020
Print ISSN: 0112-1642
Elektronische ISSN: 1179-2035
DOI
https://doi.org/10.1007/s40279-019-01194-7

Weitere Artikel der Ausgabe 2/2020

Sports Medicine 2/2020 Zur Ausgabe

Systematic Review

Acute Effects of Foam Rolling on Range of Motion in Healthy Adults: A Systematic Review with Multilevel Meta-analysis

Current Opinion

A Method to Stop Analyzing Random Error and Start Analyzing Differential Responders to Exercise

Commentary

RugbySmart: Challenges and Lessons from the Implementation of a Nationwide Sports Injury Prevention Partnership Programme

Letter to the Editor

Authors’ Reply to Tenan et al.: “A Method to Stop Analyzing Random Error and Start Analyzing Differential Responders to Exercise”

Review Article

Strength and Power Training in Rehabilitation: Underpinning Principles and Practical Strategies to Return Athletes to High Performance

Systematic Review

Association Between Temporal Spatial Parameters and Overuse Injury History in Runners: A Systematic Review and Meta-analysis

Arthropedia

Grundlagenwissen der Arthroskopie und Gelenkchirurgie. Erweitert durch Fallbeispiele, Videos und Abbildungen. 
» Jetzt entdecken

Neu im Fachgebiet Orthopädie und Unfallchirurgie

Notfall-TEP der Hüfte ist auch bei 90-Jährigen machbar

26.04.2024 Hüft-TEP Nachrichten

Ob bei einer Notfalloperation nach Schenkelhalsfraktur eine Hemiarthroplastik oder eine totale Endoprothese (TEP) eingebaut wird, sollte nicht allein vom Alter der Patientinnen und Patienten abhängen. Auch über 90-Jährige können von der TEP profitieren.

Arthroskopie kann Knieprothese nicht hinauszögern

25.04.2024 Gonarthrose Nachrichten

Ein arthroskopischer Eingriff bei Kniearthrose macht im Hinblick darauf, ob und wann ein Gelenkersatz fällig wird, offenbar keinen Unterschied.

Therapiestart mit Blutdrucksenkern erhöht Frakturrisiko

25.04.2024 Hypertonie Nachrichten

Beginnen ältere Männer im Pflegeheim eine Antihypertensiva-Therapie, dann ist die Frakturrate in den folgenden 30 Tagen mehr als verdoppelt. Besonders häufig stürzen Demenzkranke und Männer, die erstmals Blutdrucksenker nehmen. Dafür spricht eine Analyse unter US-Veteranen.

Ärztliche Empathie hilft gegen Rückenschmerzen

23.04.2024 Leitsymptom Rückenschmerzen Nachrichten

Personen mit chronischen Rückenschmerzen, die von einfühlsamen Ärzten und Ärztinnen betreut werden, berichten über weniger Beschwerden und eine bessere Lebensqualität.

Update Orthopädie und Unfallchirurgie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen
Bildnachweise