INTERDEPENDENCIES BETWEEN DEFENCE AND OFFENCE IN BASKETBALL
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Perica, A. et al.: Interdependencies between defence and offence in basketball Sport Science 7 (2014) 2: 68‐72 INTERDEPENDENCIES BETWEEN DEFENCE AND OFFENCE IN BASKETBALL Ante Perica1, Slavko Trninić2 and Igor Jelaska2 1 Basketball Club ”Kapfenberg Bulls”, Kapfenberg, Austria 2 Faculty of Kinesiology, University of Split, Croatia Original scientific paper Abstract The aim of this investigation was to determine and explain the interdependencies between transition and positional defence and offence in elite European basketball. The sample included 24 games from the 2009/2010 Euroleague Top 16 championship season. The sample consisted of 1606 defensive plays and 1637 offensive plays. The nonstandard game-related indicators included were 8 variables related to the total number of successful and unsuccessful transition/positional defences and offences. A series of multiple regression analyses were performed separately for indicators related to successful outcomes and to unsuccessful outcomes. The results confirmed beyond doubt that offence and defence are interrelated and indivisible phases of the basketball game. More explicitly, successful transition offence appears to be based on successful positional and transition defence (R2=0.84). Successful transition defence begins with ball possession (in transition or positional offence) and is highly determined (R2=0.84) by their success. In contrast, results suggest that successful positional and transitional offence provide confidence and increase motivation in playing successful positional defence (R2=0.95). Furthermore, successful positional and transition defence, even in situations where a fast break is not an option, appear to facilitate successful positional offence (R2=0.95). Corresponding conclusions for unsuccessful outcomes were also reached. Obtained results suggest that in the situational training process one should develop tactical systems in all game phases in a balanced manner. Key words: basketball, nonstandard situational indicators, transition, position, game indivisibility Introduction Basketball is a complex activity that can be Same authors state that selected motor activities studied from a structural and functional approach. that are primarily determined by cooperation and Considering that the total motor activities and opposition generate different positional and motor behaviours of particular players are transitional game states. In this context, the determined by jobs or tasks in the game, a appearance of defensive states could be basketball game can be described as an ordered considered a consequence of the appearance of set of technical-tactical skills that are applied the opposition’s offensive states. Team sport within game dynamics. Recent scientific research games research related to tactical structures of basketball game has been based on standard (Gréhaigne and Godbout, 1995; Mayer et al., game-related indicators (Trninić et al., 2002; 2006) especially on the elements of the Ibanez et al., 2008; Sampaio, Lago et al., 2010) transitional and positional phases of the games or related indexes (Sampaio and Janeira, 2003). (Perica et al., 2011; Jelaska et al., 2011) is of growing interest. On the other side, from a Many researchers have found significant methodological point of view, to get deeper into differences in game-related indicators between the structure of a particular team sport game, it is winning and losing teams, primarily related to necessary to use advanced mathematical and defensive rebounding (Gómez et al., 2008), and statistical methods and combine tactical and (un)successful 2-point shots (Trninić et al., 2002; standard efficiency indicators (Castaljaj et al., Sampaio et al., 2004). It is important to note that 2009). discriminant analyses of game-related statistics vary based on different contextual factors, such as Additional informations can be gathered by season period (Sampaio, Drinkwater et al., 2010), construction and application of a set of criteria and game type according to game score differences variables to evaluate game states (Perica et al., (Sampaio and Janeira, 2003; Castaljaj et al., 2011). In this way, it is possible to define and 2009), team gender, level of competition completely describe transition and positional game (Sampaio et al., 2004), age (Lorenzo et al., states, evaluate interdependecies between, and 2010), starters and nonstarters (Gómez et al., analyse their interactions. For example, expert 2009), position in team (Sampaio et al., 2006). coaches and players assert that organised However, functional analysis of team sport games positional offence reduces the number of offensive is primarily concerned with interactions between transitions by the opponent. Similarly, the cause both teams and between game phases (Trninić et of successful offensive transition is effective al., 1994). defence (Trninić et al., 2002; Ribas et al., 2011). 68
Perica, A. et al.: Interdependencies between defence and offence in basketball Sport Science 7 (2014) 2: 68‐72 A global tactical concept and game tasks in definitions of nonstandard game related indicators. basketball can be divided into four basic game In accordance to the expert’s feedback, several phases: positional defence, transitional offence, unclear and redundant details were clarified. positional offence and transitional defence. Transition offence is defined from the moment of Relations between phases of the basketball game obtaining ball possession, and advancement of ball at the high competition level are rarely along a vertical line until achieving number or/and researched. Accordingly, the main aim of this spatial advantage or early offence (5 on 5) study was to determine and explain the situations in the front court. If no outcome arises interdependencies between positional and from the transition phase, position offence starts transition offence and defence in elite European by certain initial alignment. Transition defence basketball. starts with a change of possession and ends no later than when defensive balance and proper Methods defensive position in a 5 on 5 situation is established; this is simultaneously the beginning Sample of entities and variables of positional defence. Successful defensive Using pseudo-random sampling, 24 games from outcomes include: missed field goal (2/3 points the 2009/2010 season of Euroleague Top 16 were missed) and turnover. Unsuccessful defensive analysed. More precisely, situations in which a outcomes include: made field goal (2/3 points particular club appeared more than four times made) and free throw(s) assigned. Successful were avoided. In contrast to standard approach, offensive outcomes include: made field goal (2/3 the present research uses different sets of game- points made) and free throw(s) assigned. related variables. The absolute nonstandard game Unsuccessful offensive outcomes include: missed indicators that were observed are presented in field goal (2/3 points missed) and turnover. The Table 1. In order to establish content validity, 4 action following an offensive rebound is viewed as expert baskeball coaches (two of them are 1st and a continuation of the offensive/defensive 2nd authors of this article) analysed qualitative possession. Table 1. Nonstandard game-related indicators DEFENCE OFFENCE PDUN – total number of unsuccessful positional POUN – total number of unsuccessful defences positional offences PDSUC – total number of successful positional POSUC – total number of successful defences positional offences TDUN – total number of defences that had an TOUN – total number of offences that had unsuccessful outcome in transitional state an unsuccessful outcome in transitional state TDSUC – total number of defences that had a TOSUC – total number of offences that had successful outcome in transitional state a successful outcome in transitional state To avoid linear dependency (i.e. number of PDSUC More precisely, for each of 8 retested matches, for team is equal to number of POUN for ratio of test frequencies and retest frequencies for opponent’s team) and "symmetric results" 24 each of observed variables was calculated and matches that were analysed were separated into multiplied by 100%. When calculating ratios, two blocks consisted 12 matches for variables nominator was always chosen to be smaller of two describing successful outcomes and 12 matches of coefficients (coefficient of reliability cannot be for variables describing unsuccessful outcomes. larger than 1.00). Finally, test-retest reliability for each variable coefficient was defined as average Data processing methods percentage of calculated ratios. Level of statistical The descriptive statistical parameters applied to all significance was set to 5%. Analyses were observed variables included the mean, standard performed using Statistica ver. 12.0., at the deviation, minimal and maximal result. Faculty of Kinesiology, University of Split. Kolmogorov-Smirnov test was used to test normality of the data distribution. A series of Results linear multiple regression analyses were Descriptive statistics of observed variables are performed to identify relations between elements presented in Table 2. As it can be seen from Table of successful and unsuccessful subgroups of 1, most of the variables were normally distributed variables. The forward stepwise algorithm was (p>0.20 for all variables except variable TDUN). used to exclude nonsignificant variables from Furthermore, results indicate very high reliability regression model. Due to usage of nonstandard of measurement procedure observed trough test- variables, additional attention was on the retest reliability coefficient ranged from 89.75% to reliability of the data which was obtained by test- 97.50%. It can be seen that relatively smaller retest procedure on the subsample consisted of 4 reliability was obtained for variables describing games for variables counting successfulness and 4 transition. The results of multiple regression games for variables counting unsuccessfulness of analysis for variables describing successful offence/defence. outcomes are presented in Table 3. 69
Perica, A. et al.: Interdependencies between defence and offence in basketball Sport Science 7 (2014) 2: 68‐72 Table 2. Descriptive statistics of nonstandard A high coefficient of determination implies high game-related indicators: mean (M), and standard explanatory power by the given variables. A deviation (SD), minimal result (Min), maximal forward stepwise algorithm used in successive result (Max), significance of Kolmogorov-Smirnov regression analyses eliminated variables PDSUC, test (KS-p), test-retest reliability coefficient (T-R) TDSUC, POSUC and TOSUC. Table 4 presents the results of multiple regression analysis for variables M SD Min Max KS-p T-R describing unsuccessful outcomes. As in Table PDSUC 27.5 5.2 19 34 >.20 96.25 3, all models are statistically significant with TDSUC 5.7 2.5 1 11 >.20 92.11 p.20 94.53 implies high explanatory power by the given TOSUC 8.5 3.9 4 14 >.20 92.44 variables. A forward stepwise algorithm used in PDUN 26.5 4.3 19 35 >.20 95.82 successive regression analysis eliminated variables TDUN 7.8 3.8 1 15 .20 97.50 that in the third and fourth regression analyses, TOUN 6.8 2.8 2 24 >.20 89.75 although a forward stepwise algorithm was used, two statistically non-significant variables remained All models are statistically significant (p
Perica, A. et al.: Interdependencies between defence and offence in basketball Sport Science 7 (2014) 2: 68‐72 As a result, positional and transition offence is the preparation in the beginning two and the final four most important determinant of successful phases of the game to enable facilitation of transition defence, especially considering the fact continual conversions from defence to offence and that a very small number of fast breaks result vice versa (rather than multiple game stoppages). after made baskets (Trninić et al., 1994; Trninić et This would consequently develop tempo control, al., 2002). Successful positional and transition enhance the playing system and lead to team offence provides confidence and increases success. motivation in playing successful positional defence (R2=0.95). Unsuccessful positional and Conclusion transition offence could result in less effective positional defence (R2=0.95). We suppose that This study fills a gap in existing basketball success in positional and transition offence has research and introduces nonstandard team’s some influence on motivation for playing quality efficiency indicators. The results aid in positional defence (Heuze et al., 2006). understanding and explaining the mutual connections and relations between the phases of a Furthermore, successful positional and transition basketball game. The interaction effects between defence, even in situations when a fast break is phases of the game imply its indivisibility. From a not an option, facilitates successful positional practical standpoint, our results indicate the offence (R2=0.95). Unsuccessful positional and necessity of integrated development of players’ transition defence could also lead to unsuccessful tactical activities in situational practice. Such an positional offence (R2=0.93). That is in agreement approach to technical and tactical preparedness in with the opinions of expert coaches and players team sport games enables the development of that team basketball starts in defence and conversion speed between game phases. encourages the development of team cohesion, Limitations of this study include the qualitative communication, self-confidence, discipline and definition of variables, which stems from the lack relaxed play in positional offence (Heuze et al., of specific criteria differentiating transitional and 2006). the results of this study have implications positional states in the current scientific and for our understanding of the basketball game and practical literature. Future research should include demonstrate interconnections between all four different team sport games, different levels of phases of the game. In terms of practical competition and various ages to evaluate their application, expert coaches should integrate step- impact on the variables that have been used in by-step processes of periodised technical-tactical this research. References Csataljay, G., O'Donoghue, P., Hughes, M., & Dancs, H. (2009). Performance indicators that distinguish winning and losing teams in basketball. Int. Journal of Performance Analysis in Sport, 9(1), 60-66. Gómez, M.A., Lorenzo, A., Sampaio, J., Ibáñez, S.J., & Ortega, E. (2008). Game-related statistics that discriminated winning and losing teams from the Spanish men's professional basketball teams. Collegium Antropologicum, 32(2), 451-456. Gómez, M.A., Lorenzo, A., Ortega, E. Sampaio, J., & Ibàñez, S.J. (2009). Game Related Statistics Discriminating Between Starters and Nonstarters Players in Women’S National Basketball Association League (WNBA). Journal of Sports Science and Medicine, 8(2), 278-283. Gréhaigne, J.F., & Godbout, P. (1995). Tactical knowledge in team sports - From a constructivist and cognitivist perspective. Quest, 47, 490-505. Heuze, J.P., Rainbault, N., & Fontayne, P. (2006). Relationships between cohesion, collective efficacy and performance in professional basketball teams: An examination of mediating effects. Journal of Sports Sciences, 24, 59-68. Ibáñez, S.J., García, J., Feu, S., Lorenzo, A., & Sampaio, J. (2008). Effects of consecutive basketball games on the game-related statistics that discriminate winner and losing teams. Journal of Sports Science and Medicine, 8(3), 458-462. Jelaska, I., Trninić, S., & Perica, A. (2011). Analysis of basketball game states and transition probabilities using the Markov chains. Physical Culture – J of Sport Sciences and Physical Education, 66(1), 15-24. Lorenzo, A., Gómez, M.A., Ortega, E., Ibáñez, S.J., & Sampaio, J. (2010). Game related statistics which discriminate between winning and losing under-16 male basketball games. Journal of Sports Science and Medicine, 9(4), 664-668. Meyer, D., Forbes, D., & Clarke, S.R. (2006). Statistical analysis of notational AFL data using continous time Markov Chains. Journal of Sports Science and Medicine, 5, 525-532. Otto, K. (1998). Defense wins! Scholastic Coach and Athletic Director, 67, 24-25. Perica, A., Trninić, S., & Jelaska, I. (2011). Introduction into the game states analysis system in basketball. Physical Culture – Journal of Sport Sciences and Physical Education, 65(2), 51-77. Ribas, R.L., Navarro, R.M., Tavares, F., & Gómez, M.A. (2011). An analysis of the side of rebound in high level basketball games. International Journal of Performance Analysis in Sport, 11(2), 202-226. Sampaio, J., Godoy, S.I., & Feu, S. (2004). Discriminatory power of basketball game-related statistics by level of competition and sex. Perceptual and Motor Skills, 99, 1231-1238. 71
Perica, A. et al.: Interdependencies between defence and offence in basketball Sport Science 7 (2014) 2: 68‐72 Sampaio, J., & Janeira, M. (2003). Statistical analyses of basketball team performance: understandings teams wins and losses according to a different index of ball possessions. International Journal of Performance Analysis in Sport, 3(1), 40-49. Sampaio, J., Janeira, M., Ibáñez, S., & Lorenzo, A. (2006). Discriminant analysis of game-related statistics between basketball guards, forwards and centers in three professional leagues. European Journal of Sport Sciences, 6, 173-178. Sampaio, J., Drinkwater, E.J., & Leite, N. (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. Sampaio, J., Lago, C., & Drinkwater, E.J. (2010). Explanations for the United States of America’s dominance in basketball at the Beijing Olympic Games (2008). Journal of Sports Sciences, 28(2), 147-152. Trninić, S., Perica, A., & Pavičić, L. (1994). Game state analysis in basketball. Kinesiology, 26(1-2), 27-32. Trninić, S., Dizdar, D., & Lukšić, E. (2002). Differences between winning and defeated top quality basketball teams in final of European club championship. Collegium Antropologicum, 26(2), 521-531. ANALIZA MEĐUDJELOVANJA IZMEĐU OBRANE I NAPADA U KOŠARCI Sažetak Osnovna svrha ovog istraživanja je utvrditi i objasniti učinke međudjelovanja tranzicijske i pozicijske obrane i tranzicijskog i pozicijskog napada. Pritom je korišten uzorak od 24 košarkaške utakmice Top 16 Eurolige, natjecateljske sezone 2009/2010 koji se sastojao od 3211 obrambenih akcija i 3273 napadačke akcije. Izmjerene su nestandardne situacijske varijable ukupnog broja uspješnih i neuspješnih tranzicijskih i pozicijskih obrana i napada. Provedena je serija višestrukih regresijskih analiza u prostoru varijabli koje opisuju uspješne ishode te posebno neuspješne ishode. Dobiveni rezultati međuodnosa varijabli nedvosmisleno potvrđuju hipotezu i impliciraju međusobnu uvjetovanost obrane i napada te nedjeljivosti košarkaške igre. Eksplicitnije, uspješni tranzicijski napad vjerojatno polazi od uspješne pozicijske a osobito uspješne tranzicijske obrane (R2=0.84). Isto tako, pretpostavlja se kako neuspješan tranzicijski napad je uvjetovan neuspješnom tranzicijskom i/ili pozicijskom obranom (R2=0.88). Nadalje, uspješna tranzicijska obrana koja započinje već u fazi tranzicijskog i pozicijskog napada visoko je determinirana (R2=0.84) njihovom uspješnošću. Također, pretpostavlja se kako je neuspješna tranzicijska obrana visoko uvjetovana neuspješnim pozicijskim i tranzicijskim napadom (R2=0.84). Dobiveni rezultati sugeriraju kako uspješan pozicijski i tranzicijski napad potiče uspješnost igranja u fazi pozicijske obrane (R2=0.95). Nadalje, neuspješan pozicijski i tranzicijski napad vjerojatno može imati za posljedicu neuspješno igranje u fazi pozicijske obrane (R2=0.95). U konačnici, pretpostavlja se kako uspješna pozicijska i tranzicijska obrana potiče uspješan pozicijski napad (R2=0.95), kao što je neuspješan pozicijski napad vjerojatno određen neuspješnom pozicijskom i tranzicijskom obranom (R2=0.93). Navedeni empirijski nalazi sugeriraju da se u procesu situacijskog treninga trebaju uravnoteženo razvijati taktički sustavi unutar svih faza tijeka igre. Ključne riječi: košarka, nestandardni situacijski indikatori, tranzicija, pozicija, nedjeljivost igre Received: October 07, 2014 Accepted: December 20, 2014 Correspondence to: Assist.Prof.Igor Jelaska, Ph.D. University of Split Faculty of Kinesiology 21000 Split, Teslina 6, Croatia Phone: +385 (0)21 302 440 E-mail: igor.jelaska@kifst.hr 72
You can also read