INTERDEPENDENCIES BETWEEN DEFENCE AND OFFENCE IN BASKETBALL

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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).

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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

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