Inside game effectiveness in NBA basketball: analysis of collective interactions.
Abstract
The inside game constitutes an essential aspect of modern basketball, particularly in the National Basketball Association (NBA) in where the best players of the world compete. The purpose of this study was to identify players’ dynamics that increase game performance when using inside pass in the NBA, considering game contextual effects. The sample included 808 inside passes from 25 randomly selected matches of the 2011 NBA Playoffs series. A series of logistic regression analyses were used to analysed passers and receivers’ actions and its effectiveness during inside passes, both isolated and combined. Main results revealed that interactions combining passer’s previous actions (dribbling or faking) with receiver’s cuts toward the basket achieved the highest offensive effectiveness. Performing screens in favour to the receiver was an effective alternative to increase inside passing options since it reduces the defensive pressure. Furthermore, player’s actions previously passing the ball were further successful if combined and synchronized with the receivers’ displacements, especially when cutting to the basket. This information allows a better understanding of basketball collective strategies, contributing in the design of precise practice tasks and so improving the training process.
References
Altman, D. G. (1991). Practical statistics for medical research. London: Chapman & Hall.
Bazanov, B., Haljand, R., Võhandu, P., & Vohandu, P. (2005). Offensive teamwork intensity as a factor influencing the result in basketball. International Journal of Performance Analysis in Sport, 5(2), 9–16.
Berri, D. J., Brook, S. L., Frick, B., Fenn, A. J., & Vicente-Mayoral, R. (2014). The Short Supply of Tall People: Competitive Imbalance and the National Basketball Association. Journal of Economic Issues, 39(4), 1029–1041. doi: 10.1080/00213624.2005.11506865
Cárdenas, D., Ortega, E., Llorca, J., Courel, J., Sánchez-Delgado, G., & Piñar, M. I. (2015). Motor characteristics of fast break in high level basketball. Kinesiology, 47(2), 208–214.
Cervone, D., D’Amour, A., Bornn, L., & Goldsberry, K. (2014). POINTWISE: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data. In SLOAN Sports Analytics Conference (pp. 1–9).
Courel-Ibáñez, J., McRobert, A. P., Ortega, E., & Cárdenas, D. (2016). Inside pass predicts ball possession effectiveness in NBA basketball. International Journal of Performance Analysis in Sport, 16(2), 711–725.
Courel-Ibáñez, J., McRobert, A. P., Ortega, E., & Cárdenas, D. (2017). Collective behaviour in basetball: a systematic review. International Journal of Performance Analysis in Sport, 17(1-2), 44-64. doi:10.1080/24748668.2017.1303982
Courel, J., Suárez, E., Ortega, E., Piñar, M., & Cárdenas, D. (2013). Is the inside pass a performance indicator? Observational analysis of elite basketball teams. Revista de Psicologia Del Deporte, 22(1), 191–194.
Csataljay, G., James, N., Hughes, M., & Dancs, H. (2013). Effects of defensive pressure on basketball shooting performance. International Journal of Performance Analysis in Sport, 13(3), 3.
Duarte, R., Araújo, D., Correia, V., & Davids, K. (2012). Sports Teams as Superorganisms. Sports Medicine, 42(8), 1. doi:10.2165/11632450-000000000-00000
Eccles, D. W., Ward, P., & Woodman, T. (2009). Competition-specific preparation and expert performance. Psychology of Sport and Exercise, 10(1), 96–107. doi:10.1016/j.psychsport.2008.01.006
Erčulj, F., & Štrumbelj, E. (2015). Basketball Shot Types and Shot Success in Different Levels of Competitive Basketball. PloS One, 16(6), e0128885. doi:10.1371/journal.pone.0128885
Fewell, J. H., Armbruster, D., Ingraham, J., Petersen, A., & Waters, J. S. (2012). Basketball Teams as Strategic Networks. PLoS ONE, 7(11), e47445. doi:10.1371/journal.pone.0047445
Fritz, C. O., Morris, P. E., & Richler, J. J. (2012). Effect size estimates: current use, calculations, and interpretation. Journal of Experimental Psychology: General, 141(1), 2.
Gabin, B., Camerino, O., Anguera, M. T., & Castañer, M. (2012). Lince: Multiplatform sport analysis software. Procedia - Social and Behavioral Sciences, 46, 4692–4694. doi:10.1016/j.sbspro.2012.06.320
Gómez, M. Á., Battaglia, O., Lorenzo, A., Lorenzo, J., Jiménez, S., &
Sampaio, J. (2015). Effectiveness during ball screens in elite basketball games. Journal of Sports Sciences, 33(17), 1844–52.
doi:10.1080/02640414.2015.1014829
Gómez, M. Á., Lago, C., & Pollard, R. (2013). Situational Variables. In T. McGarry, P. O’Donoghue, & J. Sampaio (Eds.), Routledge Handbook of Sports Performance Analysis (pp. 259–269). London: Routledge.
Gonzalez, A. M., Hoffman, J. R., Rogowski, J. P., Burgos, W., Manalo, E.,
Weise, K., … Stout, J. R. (2013). Performance changes in NBA basketball players vary in starters vs. nonstarters over a competitive season. The Journal of Strength & Conditioning Research, 27(3), 611–615.
Guppillotte, A. (2008). The inside-outside game. FIBA Assist Magazine, 34, 8–11.
Hollins, K. (2003). The screens and various options. FIBA Assist Magazine, 5(6–13).
Ibáñez, S. J., Sampaio, J., Feu, S., Lorenzo, A., Gómez, M. Á., & Ortega, E. (2008). Basketball game-related statistics that discriminate between teams’ season-long success. European Journal of Sport Science, 8(6), 369–372. doi:10.1080/17461390802261470
Lamas, L., Barrera, J., Otranto, G., & Ugrinowitsch, C. (2014). Invasion team sports: strategy and match modeling. International Journal of Performance Analysis in Sport, 14(1), 307–329.
Lamas, L., De Rose Junior, D., Santana, F., Rostaiser, E., Negretti, L., & Ugrinowitsch, C. (2011). Space creation dynamics in basketball offence: validation and evaluation of elite teams. International Journal of Performance Analysis in Sport, 11(1), 1.
Lamas, L., Santana, F., Heiner, M., Ugrinowitsch, C., & Fellingham, G. (2015). Modeling the Offensive-Defensive Interaction and Resulting Outcomes in Basketball. PLoS ONE, 10(12), e0144435. doi:10.1371/journal.pone.0144435
Lemmink, K., & Frencken, W. (2013). Tactical performance analysis in invasion games: perspectives from a dynamic system approach with examples from soccer. In T. McGarry, J. Sampaio, & P. O’Donoghue (Eds.), Routledge Handbook of Sports Performance Analysis (pp. 89–100). London, UK: Routledge.
Mateus, N., Goncalves, B., Abade, E., Liu, H., Torres-Ronda, L., Leite, N., & Sampaio, J. (2015). Game-to-game variability of technical and physical performance in NBA players. International Journal of Performance Analysis in Sport, 15(3), 764–776.
Mavridis, G., Tsamourtzis, E., Karipidis, K., & Laios, A. (2009). The inside game in World Basketball. Comparison between European and NBA teams. International Journal of Performance Analysis in Sport, 9(2), 2.
Randolph, J. J. (2008). Online Kappa Calculator [Computer software]. Retrieved November 29, 2015, from http://justus.randolph.name/kappa
Remmert, H. (2003). Analysis of group-tactical offensive behavior in elite basketball on the basis of a process orientated model. European Journal of Sport Science, 3(3), 1–12.
Sampaio, J., Drinkwater, E. J., & Leite, N. M. (2010). Effects of season period, team quality, and playing time on basketball players’ game-related statistics. European Journal of Sport Science, 10(2), 141–149. doi:10.1080/17461390903311935
Sampaio, J., Lago, C., & Drinkwater, E. (2010). Explanations for the United States of America’s dominance in basketball at the Beijing Olympic Games. Journal of Sports Sciences, 28(2), 147–152. doi:10.1080/02640410903380486
Sampaio, J., McGarry, T., Calleja-González, J., Jiménez Sáiz, S., Schelling, X., & Balciunas, M. (2015). Exploring game performance in the National Basketball Association using player tracking data. PLoS ONE, 10(7), e0132894. doi:10.1371/journal.pone.0132894
Santana, F. L., Rostaiser, E., Sherzer, E., Ugrinowitsch, C., Barrera, J., &
Lamas, L. (2015). Space protection dynamics in basketball: Validation and application to the evaluation of offense-defense patterns. Motriz: Revista de Educação Física, 21(1), 34–44. doi:10.1590/S1980-65742015000100005
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