Last minute in NBA games

  1. García-Manso, Juan Manuel 1
  2. Martín-González, Juan Manuel
  3. Guerra, Yves de Saá
  4. Valverde, Teresa
  5. Jiménez, Sergio
  1. 1 Universitat Autònoma de Barcelona
    info

    Universitat Autònoma de Barcelona

    Barcelona, España

    ROR https://ror.org/052g8jq94

Revista:
Revista de psicología del deporte

ISSN: 1132-239X 1988-5636

Ano de publicación: 2015

Título do exemplar: Revista de Psicología del Deporte (Suplemento)

Volume: 24

Número: 3

Páxinas: 31-35

Tipo: Artigo

Outras publicacións en: Revista de psicología del deporte

Resumo

Apparently the behavior during a basketball game, as in other team sports, shows tremendous variability manifested in both individual and collective ways. However, when a significant number of games are studied, we can observe the unpredictability that characterizes the game. The degree of complexity of the game is not stable. Patterns change during all the game time, but the last minute is completely different reality. Our aim was to test and evaluate the existence of these patterns and their apparent complexity, by analyzing the NBA games scoring and substitution dynamics. Therefore, we examined the difference between the last minute and the rest of the game from the collected scores (1, 2 and 3 points), substitutions and timeouts. The underlying chaotic behavior of nonlinear interactions is inherent in Complex Systems. The data showed the existence of symmetries and repeated patterns of play during basketball games of the NBA but the last minute, which can be considered a completely different game.

Referencias bibliográficas

  • Chatterjee, S. and Yilmaz, M. R. (1999). The NBA as an Evolving Multivariate System. The American Statistician, 53(3), 257-262.
  • De Sai Guerra, Y., Martkn-Gonzilez, J. M., Arjonilla N., Sarmiento, S., Rodrkguez-Ruiz, D. and Garcka-Manso, J. M. (2011). Analysis of competitiveness in the NBA regular seasons. Ugdymas, Kuno Kultura Sportas LKKA, 1(8), 17-21.
  • De Saá Guerra, Y., Martín González, J. M., Sarmiento, S., Rodríguez-Ruiz, D., García-Rodríguez, A. and García-Manso, J. M. (2012). A model for competitiveness level analysis in sports competitions: Application to basketball. Physica A: Statistical Mechanics and its Applications, 391(10), 2997-3004.
  • De Saá Guerra, Y., Martín-González, J. M., Sarmiento, S., Rodríguez-Ruiz, D., Arjonilla, N. and García-Manso, J. M. (2013). Basketball scoring in NBA games: An example of complexity. Journal of Systems Science and Complexity, 26(1), 94-103.
  • Gabel, A. and Redner, S. (2012). Random walk picture of basketball scoring. Journal Quantitative Analysis in Sports, 8(1), 1-20.
  • Gould, S. J. (1989). The Streak of Streaks. CHANCE, 2(2), 10-16.
  • Mace, F.C., Lalli, J.S., Shea, M.C. and Nevin, J.A. (1992). Behavioral momentum in college basketball. Journal of Applied Behavior Analysis, 25(3), 657-663.
  • McGarry, T., Anderson, D. I., Wallace, S. A., Hughes, M. D. and Franks, I. M. (2002). Sport competition as a dynamical self-organizing system. Journal of Sports Sciences, 20(10), 771-781.
  • Ribeiro, H. V., Mendes, R. S., Malacarne, L. C., Pîcoli, S. P. and Santoro, P. A. (2010). Dynamics of tournaments: The soccer case -A random walk approach modeling soccer leagues. The European Physical Journal B, 75(3), 327-334.
  • Roane, H. S., Kelley, M. E., Trosclair, N. M. and Hauer, L. S. (2004). Behavioral momentum in sports: A partial replication with women's basketball. Journal of applied behavior analysis, 37(3), 385-390.
  • Saavedra, S., Mukherjee, S. and Bagrow, J. P. (2012a) Is coaching experience associated with effective use of timeouts in basketball? Scientific Reports, 2, 676.
  • Saavedra, S., Mukherjee, S. and Bagrow, J. P. (2012b). Can Timeouts Change the Outcome of Basketball Games? (No. arXiv: 1205.1492). 1-8.
  • Skinner, B. (2011). Scoring strategies for the underdog: Using risk as an ally in determining optimal sports strategies. Journal of Quantitative Analysis in Sports 7, Art. 11.
  • Vaz de Melo, P. O., Almeida, V. A., Loureiro, A. A. and Faloutsos, C. (2012). Forecasting in the NBA and other team sports: Network effects in action. ACM Transactions on Knowledge Discovery from Data (TKDD), 6(3), 13-40.
  • Yilmaz, M. R. and Chatterjee, S. (2000). Patterns of NBA team performance from 1950 to 1998. Journal of Applied Statistics, 27(5), 555-566.