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Articles

Modelling game sports as complex systems – application of recurrence analysis to golf and soccer

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Pages 399-415 | Received 04 Mar 2016, Accepted 27 May 2017, Published online: 06 Jun 2017

References

  • M. Hughes and I. Franks, Analysis of passing sequences, shots and goals in soccer, J. Sports Sci. 23 (2005), pp. 509–514. doi:10.1080/02640410410001716779
  • L. Bishop and A. Barnes, Performance indicators that discriminate winning and losing in the knockout stages of the 2011 Rugby World Cup, Int. J. Perform. Anal. Sport. 13 (2013), pp. 149–159.
  • P. O’Donoghue, Break points in Grand Slam men’s singles tennis, Int. J. Perform. Anal. Sport. 12 (2012), pp. 156–165.
  • A. Redwood-Brown, Passing patterns before and after goal scoring in FA Premier League Soccer, Int. J. Perform. Anal. Sport. 8 (2008), pp. 172–182.
  • P.S. Glazier, Game, set and match? Substantive issues and future directions in performance analysis, Sports Med. 40 (2010), pp. 625–634. doi:10.2165/11534970-000000000-00000
  • R. Mackenzie and C. Cushion, Performance analysis in football: A critical review and implications for future research, J. Sports Sci. 31 (2013), pp. 639–676. doi:10.1080/02640414.2012.746720
  • G. Mayer-Kress, Y.-T. Liu, and K.M. Newell, Complex systems and human movement, Complexity 12 (2006), pp. 40–51. doi:10.1002/(ISSN)1099-0526
  • K. Davids, R. Shuttleworth, and C. Button, Acquiring skill in sport: A constraints led perspective, Int. J. Comp. Sci. Sport. 2 (2003), pp. 31–39.
  • J.A.S. Kelso, Dynamic Patterns: The Self-Organization of Brain and Behavior, MIT press, Camebridge, MA, 1997.
  • J.-F. Grehaigne, D. Bouthier, and B. David, Dynamic-system analysis of opponent relationships in collective actions in soccer, J. Sports Sci. 15 (1997), pp. 137–149. doi:10.1080/026404197367416
  • T. McGarry, D.I. Anderson, S. Wallace, M. Hughes, and I.M. Franks, Sport competition as a dynamical self-organizing system, J. Sports Sci. 20 (2002), pp. 771–781. doi:10.1080/026404102320675620
  • H. Haken, Synergetics. An Introduction. Nonequilibrium Phase Transitions and Self-Organization in Physics, Chemistry, and Biology, Springer, Berlin, 1977.
  • J.J. Gibson, The theory of affordances, in Perceiving, Acting, and Knowing: Toward an Ecological Psychology, R.E. Shaw and J. Bransford, eds., Lawrence Erlbaum Associates, Hillsdale, 1977, pp. 67–82.
  • K.M. Newell, Constraints on the development of coordination, Motor dev. children Aspects coord. control. 34 (1986), pp. 341–360.
  • F. Walter, M. Lames, and T. McGarry, Analysis of sports performance as a dynamical system by means of the relative phase, Int. J. Comp. Sci. Sport. 6 (2007), pp. 35–41.
  • Y. Palut and P.-G. Zanone, A dynamical analysis of tennis: Concepts and data, J. Sports Sci. 23 (2005), pp. 1021–1032. doi:10.1080/02640410400021682
  • H. Folgado, R. Duarte, O. Fernandes, and J. Sampaio, Competing with lower level opponents decreases intra-team movement synchronization and time-motion demands during pre-season soccer matches, PLoS ONE 9 (2014), pp. e97145. doi:10.1371/journal.pone.0097145
  • M. Siegle and M. Lames, Modeling soccer by means of relative phase, J. Syst. Sci. Complex 26 (2013), pp. 14–20. doi:10.1007/s11424-013-2283-2
  • J. Bourbousson, C. Sève, and T. McGarry, Space–time coordination dynamics in basketball: Part 1. Intra-and inter-couplings among player dyads, J. Sports Sci. 28 (2010), pp. 339–347. doi:10.1080/02640410903503632
  • J. Bourbousson, C. Sève, and T. McGarry, Space–time coordination dynamics in basketball: Part 2. The interaction between the two teams, J. Sports Sci. 28 (2010), pp. 349–358. doi:10.1080/02640410903503640
  • S. Fonseca, J. Milho, P. Passos, D. Araujo, and K. Davids, Approximate entropy normalized measures for analyzing social neurobiological systems, J. Mot. Behav. 44 (2012), pp. 179–183. doi:10.1080/00222895.2012.668233
  • J. Sampaio and V. Maçãs, Measuring tactical behaviour in football, Int. J. Sports Med. 33 (2012), pp. 395–401. doi:10.1055/s-0031-1301320
  • N. Marwan, M.C. Romano, M. Thiel, and J. Kurths, Recurrence plots for the analysis of complex systems, Phys. Rep. 438 (2007), pp. 237–329. doi:10.1016/j.physrep.2006.11.001
  • J. Carvalho, D. Araújo, B. Travassos, P.T. Esteves, L. Pessanha, F. Pereira, and K. Davids, Dynamics of players’ relative positioning during baseline rallies in tennis, J. Sports Sci. 31 (2013), pp. 1596–1605. doi:10.1080/02640414.2013.792944
  • M.S. Magnusson, Discovering hidden time patterns in behavior: T-patterns and their detection, Behav. Res. Methods Instrum. Comput. 32 (2000), pp. 93–110. doi:10.3758/BF03200792
  • G.K. Jonsson, M. Anguera, P. Sánchez-Algarra, C. Olivera, J. Campanico, M. Castañer, and J. Chaverri, Application of T-pattern detection and analysis in sports research, Open Sports Sci. J. 3 (2010), pp. 95–104. doi:10.2174/1875399X010030100095
  • M. Broadie, Assessing golfer performance on the PGA TOUR, Interfaces 42 (2012), pp. 146–165. doi:10.1287/inte.1120.0626
  • M. Stöckl, P.F. Lamb, and M. Lames, A model for visualizing difficulty in golf and subsequent performance rankings on the PGA tour, Int. J Golf Sci. 1 (2012), pp. 10–24. doi:10.1123/ijgs.1.1.10
  • M. Bar-Eli, S. Avugos, and M. Raab, Twenty years of “hot hand” research: Review and critique, Psychol. Sport. Exerc. 7 (2006), pp. 525–553. doi:10.1016/j.psychsport.2006.03.001
  • R.D. Clark III, An examination of the hot hand in professional golfers, Percept. Mot. Skills 101 (2005), pp. 935–942. doi:10.2466/pms.101.3.935-942
  • N. James, The statistical analysis of golf performance, Int. J of Sports Sci & Coaching 2 (2007), pp. 231–248.
  • J.A. Livingston, The hot hand and the cold hand in professional golf, J. Econ. Behav. Organ. 81 (2012), pp. 172–184. doi:10.1016/j.jebo.2011.10.001
  • J.-P. Eckmann, S. Oliffson Kamphorst, and D. Ruelle, Recurrence plots of dynamical systems, World Sci. Ser. Nonlinear Sci. Ser. 16 (1995), pp. 441–446.
  • F. Takens, Detecting Strange Attractors in Turbulence, Springer, Berlin Heidelberg, 1981.
  • J.S. Iwanski and E. Bradley, Recurrence plots of experimental data: To embed or not to embed? Chaos 8 (1998), pp. 861–871. doi:10.1063/1.166372
  • J. Gao and H. Cai, On the structures and quantification of recurrence plots, Phys. Lett. A 270 (2000), pp. 75–87. doi:10.1016/S0375-9601(00)00304-2
  • M.B. Kennel, R. Brown, and H.D.I. Abarbanel, Determining embedding dimension for phase-space reconstruction using a geometrical construction, Phys. Rev. 45 (1992), pp. 3403–3411. doi:10.1103/PhysRevA.45.3403
  • N. Marwan and C.L. Webber Jr., Mathematical and computational foundations of recurrence quantifications, in Recurrence Quantification Analysis: theory and Best Practices, C.L. Webber Jr. and N. Marwan, eds., Springer International Publishing, New York, 2014, pp. 3–43.
  • T.K. March, S.C. Chapman, and R.O. Dendy, Recurrence plot statistics and the effect of embedding, Physica D 200 (2005), pp. 171–184. doi:10.1016/j.physd.2004.11.002
  • G.M. Mindlin and R. Gilmore, Topological analysis and synthesis of chaotic time series, Physica D 58 (1992), pp. 229–242. doi:10.1016/0167-2789(92)90111-Y
  • M. Koebbe and G. Mayer-Kress, Use of recurrence plots in the analysis of time-series data, Santa Fe Inst. Stud. Sci. Complexity-Proceedings. 12 (1992), pp. 361.
  • N. Marwan, Untersuchung der Klimavariabilität in NW Argentinien mit Hilfe der quantitativen Analyse von Recurrence Plots, Master Thesis, TU Dresden, 1999.
  • J.P. Zbilut, N. Thomasson, and C.L. Webber, Recurrence quantification analysis as a tool for nonlinear exploration of nonstationary cardiac signals, Med. Eng. Phys. 24 (2002), pp. 53–60. doi:10.1016/S1350-4533(01)00112-6
  • N. James, Performance analysis of golf: Reflections on the past and a vision of the future, Int. J. Perform. Anal. Sport. 9 (2009), pp. 188–209.
  • NIST/SEMATECH, e-Handbook of statistical methods, Available at http://www.itl.nist.gov/div898/handbook/.
  • C.L. Webber and J.P. Zbilut, Recurrence quantifications: Feature extractions from recurrence plots, Int. J. Bifurcat. Chaos. 17 (2007), pp. 3467–3475. doi:10.1142/S0218127407019226
  • M. Mohr, P. Krustrup, and J. Bangsbo, Match performance of high-standard soccer players with special reference to development of fatigue, J. Sports Sci. 21 (2003), pp. 519–528. doi:10.1080/0264041031000071182
  • R. Akenhead, P.R. Hayes, K.G. Thompson, and D. French, Diminutions of acceleration and deceleration output during professional football match play, J. Sci. Med. Sport 16 (2013), pp. 556–561. doi:10.1016/j.jsams.2012.12.005
  • M. Siegle and M. Lames, Game interruptions in elite soccer, J. Sports Sci. 30 (2012), pp. 619–624. doi:10.1080/02640414.2012.667877