Comparison of the effectiveness of fast breaks in two high level basketball championships

Garefis, A.; Tsitskaris, George; Mexas, K.; Kyriakou, Dimitrios

doi:10.1080/24748668.2007.11868405

Cited by 6 publications

(11 citation statements)

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“…Previous studies demonstrated that the fast break is one of the most important offensive actions differentiating between winning and losing teams in elite men and women’s basketball [ 8 , 9 , 11 , 20 ]. Indeed, the fast break action is characterized by a high scoring percentage (i.e., 63–73%) since defense is usually outnumbered and/or not properly organized [ 11 , 21 ]. The unclear difference found between winning and losing teams in the FBPs scored indicates that fast break action is not one of the parameters differentiating between winning and losing teams in the EuroBasket Women 2017 championship.…”

Section: Discussionmentioning

confidence: 99%

Scoring Strategies Differentiating between Winning and Losing Teams during FIBA EuroBasket Women 2017

Conte

Lukonaitienė

2018

Sports

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This study aimed to examine the scoring strategies differentiating between winning and losing teams during FIBA EuroBasket Women 2017 in relation to different game scores. Data were gathered for all games of FIBA EuroBasket Women 2017 from the official website. The investigated scoring strategies were fast break points (FBP); points in the paint (PP); points from turnover (PT); second chance points (SCP); and points from the bench (PB). Games were classified with cluster analysis based on their score difference as close, balanced, and unbalanced and the differences in the scoring strategies between winning and losing teams were assessed using magnitude-based statistics. Results revealed no substantial differences in FBP in any investigated cluster. Furthermore, winning teams showed a substantially higher number of PP and PT (in close and unbalanced games) and SCP (in balanced and unbalanced games) compared to losing teams. Finally, winning teams scored substantially lower and higher number of BPs in close games and unbalanced games, respectively, compared to losing teams. In conclusion, all the investigated scoring strategies discriminate between winning and losing teams in elite women’s basketball except for FBP. These results provide useful information for basketball coaches to optimize their training sessions and game strategies.

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Section: Discussionmentioning

confidence: 99%

Scoring Strategies Differentiating between Winning and Losing Teams during FIBA EuroBasket Women 2017

Conte

Lukonaitienė

2018

Sports

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“…A potential explanation of this contradiction may rely on the fact that defense disposition at the moment of shooting determines only a fraction of the total number of fast breaks. Elite teams average low numbers of fast breaks (approximately 15% of attacks), and among these, six out of ten do not follow immediately after catching a rebound, but after stealing the ball (Garefis, Tsitskaris, Mexas, & Kyriakou, 2007).…”

Section: Discussionmentioning

confidence: 99%

Towards a Decision Quality Model for Shot Selection in Basketball: an Exploratory Study

et al. 2016

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We take the first steps towards a shot selection quality model in basketball that incorporates decisional cues that might be predictive, not only of proximal results (e.g., scoring), but also of distal results (e.g., winning/losing the match). 2976 jump-shots from 50 Euroleague matches were sampled, following systematic observation guidelines. The decisional cues under scrutiny were shooting opposition, distance and lateral angle, disposition to offensive rebound and disposition to defensive balance at the moment of shooting. A first set of regressions between decisional cues and proximal results showed higher opposition and distance to decrease the probability of scoring (OR = .81; p < .001 and OR = .89; p = .013); a better disposition towards rebound to increase the chances of catching rebound (OR = 1.57; p < .001); and better defensive balance disposition to decrease the probability of a fast break (OR = 1.27; p < .036). A second set of regressions between proximal and distal results showed shooting and offensive rebound effectiveness to predict total points scored (β = .62; p < .001 and β = .32; p < .001) and game result (winning/losing the game; OR = 1.12; p < .001 and OR = 1.05; p = .021). Finally, an analysis of the impact of decisional cues on distal results showed a positive relationship between likelihood of winning and average team's disposition to offensive rebound (OR = 1.18; p = .018). These results cast light on the actual weights (validities) of the different cues involved in predicting outcomes of shooting decisions. This evidence could help coaches provide objective feedback about players' shooting performance beyond hit percentages.

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“…In elite male basketball competitions, FB actions represented 15.6% and 13.8% of the total offensive attacks for winning and losing teams, respectively [ 17 ]. Garefis et al [ 18 ] noted that most of the FBs started with rebound and steal actions, with more than 80% of them finishing in the lane with a rate of success of 73% in elite men’s European championship games. Furthermore, the distribution of primary and secondary breaks was 89.6% and 10.4%, respectively [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Determinants of the effectiveness of fast break actions in elite and sub-elite Italian men’s basketball games

Conte¹,

Favero²,

Niederhausen³

et al. 2017

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The aim of this study was to examine the determinants of successful and unsuccessful fast-break (FB) actions in elite and sub-elite basketball games. Fifteen 1st-division (elite) and fifteen 3rd-division (sub-elite) Italian men’s championship games were analysed across two seasons (2012/2013 and 2013/2014). A binary logistic regression analysis was performed, and the fast-break outcome (successful vs. unsuccessful) was adopted as the dependent variable separately in both elite and sub-elite games. FB execution (initiation, advance and completion phases), typology (primary and secondary break) and the number of players involved (equal number or superiority) were used as independent variables. The results showed that the rate of success of FB actions was 63.5% and 59.7% in elite and sub-elite games, respectively. Moreover, successful FBs were more likely to be completed in the lane in relation to unsuccessful ones in both elite and sub-elite games (p<0.05). Finally, descriptive statistics showed that both elite and sub-elite teams executed FBs similarly. This study highlighted that completion zone was the only predictor of a successful fast break in basketball, while the typology and number of players involved did not predict fast break effectiveness. Moreover, elite and sub-elite teams executed fast break actions similarly. These findings might be useful for basketball coaches to optimize the training of FB actions.

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Comparison of the effectiveness of fast breaks in two high level basketball championships

Cited by 6 publications

References 1 publication

Scoring Strategies Differentiating between Winning and Losing Teams during FIBA EuroBasket Women 2017

Scoring Strategies Differentiating between Winning and Losing Teams during FIBA EuroBasket Women 2017

Towards a Decision Quality Model for Shot Selection in Basketball: an Exploratory Study

Determinants of the effectiveness of fast break actions in elite and sub-elite Italian men’s basketball games

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