ANALYSIS OF CRITICAL MOMENTS IN THE LEAGUE ACB

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Revista de Psicología del Deporte 2009. Vol. 18 - suppl., pp. 391-395 ISSN: 1132-239X Universitat de les Illes Balears Universitat Autònoma de Barcelona ANALYSIS OF CRITICAL MOMENTS IN THE LEAGUE ACB 2007-08 Rafael M. Navarro*, Alberto Lorenzo**, Miguel A. Gómez*** & Jaime Sampaio**** KEY WORDS: analysis of the game, critical moments, basketball. ABSTRACT: The aim of this paper was to identify the variables that determine winning or losing in the critical moments of the basketball games. A total of forty one critical moments were analyzed, corresponding to 30 games of the regular season from the Spanish Professional League (ACB, season 2007-2008). Games were selected according to the definition of critical moments (described in the available literature), which corresponded to overtime and the last 5 minutes of games with score differences equal or below to six points. The results revealed better values in the winners in defensive rebounds and successful free-throws. Sr. Rafael M. Navarro Barragán. Street Playa de Zarauz, nº 22-2º B. 28042. Madrid. Telephone: 696-45-52-83 E-mail: rnavabar@uax.es, ramanaba@yahoo.es. * Faculty of Sciences of the Physical Activity and the Sport. University Alfonso X El Sabio. ** Faculty of Sciences of the Physical Activity and of the Sport-INEF. Politécnica University of Madrid. *** Faculty of Education. Complutense University. **** University de Tras os Montes e Alto Douro. Department of Sports. The authors assure that: "this paper has been done by themselves, since it has not been published in any other site. This paper has not been sent and will not be sent for publication in any other site until it is accepted by the Journal of the Psychology of Sport magazine. This paper will not be published in any other site if for publication was accepted ".

Introduction The moments that contribute more decisively to winning or losing the basketball games are called critical moments (Sampaio, Ferreira, Ibáñez, & Ribeiro, 2004). There are two major topics of study when approaching the critical moments (Ferreira, 2006), the first is focused in the psychological subjects (Bar - Eli & Tractinsky, 2000) and the second is focused on the study of the game (Kózar et al., 1994; Kaminsky, 1990). Analyzing the last five minutes of the game, researchers have been identifying the most influential variables in the final result, such as successful free-throws (e.g., Lorenzo et al., 2005; Kaminsky, 1990; Kózar et al., 1994), defensive rebounds ( e. g., Ribeiro & Sampaio, 2003) and unsuccessful 3 point field goals (Kaminsky, 1990). Thus, the object of this study was to identify the variables that discriminate between the winners and the losers during the critical moments. Method The sample was composed of 41 critical moments, selected randomly from 118 possible belonging to 306 games of the Spanish Professional League (ACB, season 2007-2008). It was considered a critical moment, the game overtime and the last 5 minutes (Bar- Eli & Tracktinsky, 2000; Kaminsky, 1990; Kozar et al., 1994; Pereira, 2006) of selected games with a scoreboard difference of 6 points (Ferreira, 2006). The variables examined were: successful and unsuccessful 1, 2 and 3 points shooting, offensive and defensive rebounds, assists, personal fouls, turnovers, steals and blocks. All variables were normalized to game ball possessions (e.g., Sampaio & Janeira, 2003). To calculate the ball possessions (BP) it has been used the equation defined by Oliver (2004): (BP = Field goal attempted Offensive rebounds + Turnovers - 0. 4 Free- throws attempted). An independent samples student t-test and a discriminant analysis were used with the aim of identifying the variables that better discriminate the winners from losers. It was considered relevant to the interpretation of the linear vectors the structure coefficients above or equal to 0.30 (Tabachnick & Fidell, 1996). Statistical significance was set to 5%. Results Student t-test results are shown in table 1, there were differences between winning and losing teams in successful free-throws (p=0,002), defensive rebounds (p=0,000) and unsuccessful 3 point field goals (p=0,043). Discriminant analysis identified freethrows and defensive rebounds (table 2) as the most powerful variables to separate winning and losing teams. The winning teams had higher number of defensive rebounds and successful free throws. Discussion The defensive rebounds were associated with winners. This action generates more fast-break offences (Sampaio and Janeira, 2003; Sporiš, Sango, Vucetić & Masina, 2006) and it is a measure of team defensive success, because it may be captured after a bad shot selection from the opponents (Fierro, 2002). Also, it reduces the opponents possession options, diminishing their success 392 Revista de Psicología del Deporte. 2009. Vol. 18 - suppl., pp. 391-395

Variables Estadísticas Ganador Perdedor Tiro 2anotado 0,14 0,14 Tiro 3anotado 0,13 0,13 Tiro libre anotado 0,00* 0,00* Rebote defensivo 0,00* 0,00* Rebote ofensivo 0,81 0,81 Asistencia 0,07 0,07 Balón robado 0,11 0,11 Perdida balón 0,12 0,12 Tapón favor 0,1 0,1 Falta cometida 0,26 0,26 Tiro 2fallado 0,55 0,55 Tiro 3fallado 0,04* 0,04* Tiro libre fallado 0,3 0,3 * p.05 Table 1: T test for independent samples Game-related statistics ACB LEAGUE Successful 2 point field-goals 0,18 Unsuccessful 2 point field-goals -0,24 Successful 3 point field-goals 0,19 Unsuccessful 3 point field-goals -0,25 Successful free-throws 0,39* Unsuccessful free-throws 0,12 Ofensive rebounds 0,02 Deffensive rebounds 0,49* Assists 0,22 Fouls -0,14 Steals 0,19 Turnovers -0,19 Blocks 0,2 Eigen value 0.79 Wilks Lambda 0,55 Canonical Correlation 0,66 Chi-squared 43.25 Significance <.005 Reclassification 85.4% Table 2. Discriminant Analysis Structure Coefficients (SC) and tests of statisticall significance from game related statistics in ACB League. Revista de Psicología del Deporte. 2009. Vol. 18 - suppl., pp. 391-395 393

percentages (Gómez, 2007). The second variable associated with winners were the successful free throws, as confirmed in earlier studies (e.g., Lorenzo et al., 2005; Kaminsky, 1990; Kózar et al., 1994). Kozar et al, (1994) found that in the last 5 minutes of close games (differences in the scoreboard lower than 9 points), the free-throws were 48 % of the scored points, and 69% in the last minute. This circumstance raises the importance of having in the court the best free-throw shooters in the final minutes (Kaminsky, 1990) and, with the present rules, to be aware of the opponents worst shooter from this distance, in case of necessity to make fouls. Our results also have revealed significant differences unsuccessful 3 point field goals variable. The importance of this variable is understood as a complement of the 2 points throws, since it can be used in 20% of the team action, besides it demands a good selection of shot of the teams, allowing high percentages of success and a better defensive transition (Trniniç et al., 2002). It can be estimated the importance of the unsuccessful 3 points throwing in the balanced games and that the winning teams select better their 3 points throws (Gómez, 2007). The stress the player reaches in the last 5 minutes of game, in which the critical moments are detected in close games (Bar- Eli & Tracktinsky, 2000; Kaminsky, 1990; Kozar et al., 1994; Ferreira, 2006), as a result of the psico-physiological alterations that arise from the competitive requirements, can unleash in a " state of psychological crisis" (Bar-Eli & Tractinsky, 2000). The above mentioned state is characterized by the decrease on the performance of the player. This alteration can determine the efficiency in the free-throw and throwing of 3 points, and the concentration that makes the obtaining of the rebound possible. Bar-Eli y Tractinsky, (2000) consider working with the players imagining hypothetical stages, which are alike real situations of the competition; in such a way that the players are capable of self-manage their stress and lower the effect of a "psychological crisis ". References Bar-Eli, M., y Tractinsky, N. (2000). Criticality of game situations and decision making in basketball: An application on performance crisis perspective. Psychology of Sport and Exercise, 1, 27-39. Fierro, C. (2002). Variables related to success in sports leagues and NBA and ACB basketball. Journal of Sport Psychology, 11 (2), 247-255. Gómez, M. A., (2007). Study of competitive activity in male and female basketball by analyzing statistics and game ball possessions. Doctoral Thesis, UPM, Madrid. Gómez, M.A., Lorenzo, A., Ortega, E. y Olmedilla, A. (2007). Journal of Sport Psychology, 16 (1), 41-54. Ibáñez, S. J., Sampaio, J, Sáenz-López, P, Giménez, J, y Janeira, M. A. (2003). Game statistics discriminating the final outcome of junior world basketball championship matches (Portugal 1999). Journal of Human Movement Studies,74, 1-19. 394 Revista de Psicología del Deporte. 2009. Vol. 18 - suppl., pp. 391-395

Kaminsky, J. (1990). Critical game time periods in relation to team success in college basketball. Unpublished Master Thesis, Kent State University, Kent. Kozar, B., Vaughn, R. E., Whitfield, K. E., Lord, R. H., y Dye, B. (1994). Importance of freethrows at various stages of basketball games. Perceptual and Motor Skills, 78(1), 243-248. Lorenzo, A., Sampaio, J., Ribero, C. (2005). Critical moments in basketball: methodology for identification and analysis of the preceding events. Culture, Science and Sport,5, 83-88. Oliver, D. (2004). Baketball on paper. Rules and Tools for Performance Analysis.Washington, D. C.: Brassey s, Inc. Pereira, A.P., (2006). Criticalty and critical moments.aplications in the basketball gamel. Faculty of human movement. Universidade Técnica de Lisboa. Sampaio, J., Ferreira, A. P. Ibáñez, S., y Ribeiro, C. (2004). Success in the last 5 minutes of basketball close games: investigating final outcome of ball possession, duration of ball possession, number of players' involved, defensive opposition and court location. Proceedings of the World Congress of performance Analysis in Sport 6, Belfast. Sporiš, G., Sango, J., Vucetić, V., & Masina, T. (2006). The latent structure of standard game efficiency indicators in basketball. International Journal of Performance Analysis in Sport, 6 (1), 108-119. Tabachnick, B. G., & Fidell, L. S. (1996). Using Multivariate Statistics (3rd ed.). NewYork: Harper Collins. Trninić, S., Dizdar, D., y Luksić, E. (2002). Differences between winning and defeated top quality basketball teams in final tournaments of European club championship. Collegium Antropologicum, 26(2), 521-531. Revista de Psicología del Deporte. 2009. Vol. 18 - suppl., pp. 391-395 395