Space Creation Dynamics in Basketball Small-Sided Games

Space creation dynamics (SCDs) describe actions players perform to create a scoring opportunity. This study compared SCDs and types of offense during three different three versus three (3vs.3) basketball small-sided games (SSGs) played in half court: 3vs.3 with man-to-man defense in half playing area (3vs.3HALF), 3vs.3 with man-to-man defense in full playing area (3vs.3FULL), and 3vs.3 with reduced shot clock (3vs.3RT). We also investigated the efficacy of SCDs in all SSGs and the reliability of SCDs in 3vs.3HALF. While the efficacy of SCDs did not differ among these SSGs, 3vs.3RT presented significantly more “space creation with ball dribbled” and “shot clock violations,” and less “on ball screens.” 3vs.3FULL presented no differences in the SCDs and types of offense compared with 3vs.3HALF. Reliability within 3vs.3HALF was higher for “space creation with ball dribbled,” “space creation without the ball,” “set offenses,” “fast breaks,” and “loss of ball during passing or dribbling.” We concluded that 3vs.3 basketball SSGs with different rules can be used for training different tactical behaviors important to formal games, especially since the 3vs.3HALF presented good reliability for many variables related to tactical behavior.

[1]  L. Capranica,et al.  Effect of different number of players and training regimes on physiological and technical demands of ball-drills in basketball , 2016, Journal of sports sciences.

[2]  C. Chiang,et al.  Repeated sprints, high-intensity interval training, small-sided games: theory and application to field sports. , 2014, International journal of sports physiology and performance.

[3]  Jaime Sampaio,et al.  Exploring how basketball players’ tactical performances can be affected by activity workload , 2014 .

[4]  Júlio Garganta,et al.  Trends of tactical performance analysis in team sports: bridging the gap between research, training and competition. , 2009 .

[5]  Andy Field,et al.  Discovering statistics using SPSS, 2nd ed. , 2005 .

[6]  D. Araújo The study of decision-making behavior in sport , 2013 .

[7]  Gemma Robinson,et al.  A weighted kappa statistic for reliability testing in performance analysis of sport , 2007 .

[8]  J. Sampaio,et al.  Defensive pressure affects basketball technical actions but not the time-motion variables , 2015, Journal of sport and health science.

[9]  Peter Krustrup,et al.  The yo-yo intermittent recovery test: physiological response, reliability, and validity. , 2003, Medicine and science in sports and exercise.

[10]  D. Pyne,et al.  Optimising technical skills and physical loading in small-sided basketball games , 2012, Journal of sports sciences.

[11]  J. Scott Parrott,et al.  Creating a literature database of low-calorie sweeteners and health studies: evidence mapping , 2016, BMC Medical Research Methodology.

[12]  L. Torres-Ronda,et al.  Position-Dependent Cardiovascular Response and Time-Motion Analysis During Training Drills and Friendly Matches in Elite Male Basketball Players , 2016, Journal of strength and conditioning research.

[13]  Daniel Memmert,et al.  The Effect of Deliberate Play on Tactical Performance in Basketball , 2010, Perceptual and motor skills.

[14]  Leandro Vinhas de Paula,et al.  Reliability of physical, physiological and tactical measures in small-sided soccer Games with numerical equality and numerical superiority , 2016 .

[15]  Xavi Schelling,et al.  Accelerometer Load Profiles for Basketball-Specific Drills in Elite Players. , 2016, Journal of sports science & medicine.

[16]  Carlo Castagna,et al.  Factors influencing physiological responses to small-sided soccer games , 2007, Journal of sports sciences.

[17]  B. Timmons,et al.  Exercise and the cytokine balance: A paediatric perspective , 2006, Journal of sports sciences.

[18]  Keith Davids,et al.  How Small-Sided and Conditioned Games Enhance Acquisition of Movement and Decision-Making Skills , 2013, Exercise and sport sciences reviews.

[19]  José Vicente García-Tormo,et al.  Heart rate analysis of high level basketball players during training sessions , 2015 .

[20]  M. S. Quintana,et al.  The relationship between exercise intensity and performance in drills aimed at improving the proficiency, technical and tactical skills of basketball players , 2009 .

[21]  Diana Adler,et al.  Using Multivariate Statistics , 2016 .

[22]  Keith Davids,et al.  Movement Models from Sports Provide Representative Task Constraints for Studying Adaptive Behavior in Human Movement Systems , 2006, Adapt. Behav..

[23]  Klaus Krippendorff,et al.  Answering the Call for a Standard Reliability Measure for Coding Data , 2007 .

[24]  A. Karch,et al.  Measuring inter-rater reliability for nominal data – which coefficients and confidence intervals are appropriate? , 2016, BMC Medical Research Methodology.

[25]  W G Hopkins,et al.  Measures of Reliability in Sports Medicine and Science , 2000, Sports medicine.

[26]  Jaime Sampaio,et al.  Ball possession effectiveness in men's and women's elite basketball according to situational variables in different game periods , 2013, Journal of sports sciences.

[27]  Jaime Sampaio,et al.  Effectiveness during ball screens in elite basketball games , 2015, Journal of sports sciences.

[28]  B. Tabachnick,et al.  Using multivariate statistics, 5th ed. , 2007 .

[29]  Leonardo Lamas,et al.  Space creation dynamics in basketball offence: validation and evaluation of elite teams , 2011 .

[30]  F. Al-Shamali,et al.  Author Biographies. , 2015, Journal of social work in disability & rehabilitation.

[31]  Brian Dawson,et al.  Variability of acute physiological responses and performance profiles of youth soccer players in small-sided games. , 2008, Journal of science and medicine in sport.