Offensive Rating-Time coordination dynamics in basketball. Complex systems theory applied to Basketball

Previous research on coordination dynamics has targeted the 1 vs. 1 sub phases. This study focused on collective variables. The aim of this work was to check the reliability of ecological dynamics to describe the dynamics of basketball contest as the interaction of two teams along time. Control and Order parameters were described as offensive rating across time. Games not classified by mathematical model (discriminant analysis) of ACB league were analyzed in ecological dynamics terms. Offensive ratings moving average in each minute of 73 games were used to calculate games’ relative phase trough Hilbert transform. Different groups of games were found, according to their relative phase characteristics. Results showed different tendencies in game dynamics. Stable relations in-phase, anti-phase and transitions were found. The findings pointed the importance of quality and location in team’s performance. Finally, this study provides useful information for coaches’ plans (game strategy, training methods) in order to improve their teams’ performance.

[1]  Carlos Lago,et al.  Determinants of possession of the ball in soccer , 2007, Journal of sports sciences.

[2]  Martin Lames,et al.  On the search for reliable performance indicators in game sports , 2007 .

[3]  J F Gréhaigne,et al.  Dynamic-system analysis of opponent relationships in collective actions in soccer. , 1997, Journal of sports sciences.

[4]  Bruno Travassos,et al.  Tactical performance changes with equal vs unequal numbers of players in small-sided football games , 2014 .

[5]  Dean Oliver,et al.  Basketball on Paper: Rules and Tools for Performance Analysis , 2003 .

[6]  Javier García,et al.  Complex system theory in team sports. example in 5 on 5 basketball contest , 2013 .

[7]  Jaime Sampaio,et al.  Ball possession effectiveness in men's and women's elite basketball according to situational variables in different game periods , 2013, Journal of sports sciences.

[8]  Kurths,et al.  Phase synchronization of chaotic oscillators. , 1996, Physical review letters.

[9]  Pier-Giorgio Zanone,et al.  A dynamical analysis of tennis: Concepts and data , 2005, Journal of sports sciences.

[10]  Thomas Reilly,et al.  Handbook of Soccer Match Analysis: A Systematic Approach to Improving Performance , 2006 .

[11]  Ian M Franks,et al.  Sport competition as a dynamical self-organizing system , 2002, Journal of sports sciences.

[12]  Martin Lames,et al.  Modelling the interaction in game sports - relative phase and moving correlations. , 2006, Journal of sports science & medicine.

[13]  Martin Lames,et al.  Analysis of Sports Performance as a Dynamical System by Means of the Relative Phase , 2007, Int. J. Comput. Sci. Sport.

[14]  R. Maughan.  Research methods in physical activity , 2017, Journal of sports sciences.

[15]  P. N. Kugler,et al.  Fluctuations and phase symmetry in coordinated rhythmic movements. , 1986, Journal of experimental psychology. Human perception and performance.

[16]  J. Ati,et al.  Time-motion analysis and physiological data of elite under-19-year-old basketball players during competition * Commentary , 2007 .

[17]  Michael J. Richardson,et al.  Rocking together: dynamics of intentional and unintentional interpersonal coordination. , 2007, Human movement science.

[18]  Wouter Frencken,et al.  Oscillations of centroid position and surface area of soccer teams in small-sided games , 2011 .

[19]  Jaime Sampaio,et al.  Discriminative Power of Basketball Game-Related Statistics by Level of Competition and Sex , 2004, Perceptual and motor skills.

[21]  Jürgen Kurths,et al.  Detection of n:m Phase Locking from Noisy Data: Application to Magnetoencephalography , 1998 .

[22]  Nidhal Ben Abdelkrim,et al.  Time–motion analysis and physiological data of elite under-19-year-old basketball players during competition , 2006, British Journal of Sports Medicine.

[23]  Felix Lebed,et al.  System approach to games and competitive playing , 2006 .

[24]  I. Franks,et al.  On the presence and absence of behavioural traits in sport: an example from championship squash match-play. , 1999, Journal of sports sciences.

[25]  M. Norusis.  IBM SPSS Statistics 19 Advanced Statistical Procedures Companion , 2011 .

[26]  J. Sampaio,et al.  Attack and Serve Performances According to the Match Period and Quality of Opposition in Elite Volleyball Matches , 2012, Journal of strength and conditioning research.

[27]  R. Schmidt,et al.  Self-organization of between-persons cooperative tasks and possible application to sport. , 1999 .

[28]  J. Sampaio,et al.  Effects of coaches' timeouts on basketball teams' offensive and defensive performances according to momentary differences in score and game period , 2011 .

[29]  J. Sampaio,et al.  Game-related statistics that discriminated winning and losing teams from the Spanish men's professional basketball teams. , 2008, Collegium antropologicum.

[30]  Tim McGarry,et al.  Space–time coordination dynamics in basketball: Part 2. The interaction between the two teams , 2010, Journal of sports sciences.

[31]  A Baca,et al.  Effect of Defensive Pressure on Movement Behaviour During an Under-18 Basketball Game , 2014, International Journal of Sports Medicine.

[32]  Jaime Sampaio,et al.  Identifying Basketball Performance Indicators in Regular Season and Playoff Games , 2013, Journal of human kinetics.

[33]  C. Sève,et al.  Space–time coordination dynamics in basketball: Part 1. Intra- and inter-couplings among player dyads , 2010, Journal of sports sciences.

[34]  Nikos Ntoumanis,et al.  A Step-by-Step Guide to SPSS for Sport and Exercise Studies , 2001 .

[35]  Paul Godbout,et al.  How the "rapport de forces" evolves in a soccer match : the dynamics of collective decisions in a complex system , 2011 .

[36]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..

[37]  Keith E. Whitfield,et al.  Importance of Free-Throws at Various Stages of Basketball Games , 1994 .

[38]  J. Sampaio,et al.  EFFECTS OF STARTING QUARTER SCORE, GAME LOCATION, AND QUALITY OF OPPOSITION IN QUARTER SCORE IN ELITE WOMEN'S BASKETBALL , 2013 .

[39]  Keith Davids,et al.  The Role of Ecological Dynamics in Analysing Performance in Team Sports , 2012, Sports Medicine.

[40]  J. Sampaio,et al.  Basketball Game-related statistics discriminating ACB league teams according to game location, game outcome and final score differences , 2014 .

[41]  Yaneer Bar-Yam,et al.  Dynamics Of Complex Systems , 2019 .

[42]  G. Tenenbaum,et al.  Time phases and the individual psychological crisis in sports competition: theory and research findings. , 1988, Journal of sports sciences.

[43]  Keith Davids,et al.  Interpersonal coordination tendencies shape 1-vs-1 sub-phase performance outcomes in youth soccer , 2012, Journal of sports sciences.

[44]  Paul S Glazier,et al.  Game, Set and Match? Substantive Issues and Future Directions in Performance Analysis , 2010, Sports medicine.