Identifying Basketball Performance Indicators in Regular Season and Playoff Games

• Authors: Javier García , Sergio J. Ibáñez , Raúl Martinez De Santos , Nuno Leite , Jaime Sampaio
• Languages of publication: EN

Abstracts

EN

The aim of the present study was to identify basketball game performance indicators which best discriminate winners and losers in regular season and playoffs. The sample used was composed by 323 games of ACB Spanish Basketball League from the regular season (n=306) and from the playoffs (n=17). A previous cluster analysis allowed splitting the sample in balanced (equal or below 12 points), unbalanced (between 13 and 28 points) and very unbalanced games (above 28 points). A discriminant analysis was used to identify the performance indicators either in regular season and playoff games. In regular season games, the winning teams dominated in assists, defensive rebounds, successful 2 and 3-point field-goals. However, in playoff games the winning teams’ superiority was only in defensive rebounding. In practical applications, these results may help the coaches to accurately design training programs to reflect the importance of having different offensive set plays and also have specific conditioning programs to prepare for defensive rebounding.

Keywords

EN

Performance analysis; game-indicators; win/lose; basketball

• Publisher: De Gruyter Open
• Journal: Journal of Human Kinetics
• Year: 2013
• Volume: 36
• Issue: 1
• Pages: 161-168

Dates

published

1 - 03 - 2013

online

13 - 04 - 2013

Contributors

author

Javier García

• University of Extremadura, Faculty of Sports Sciences, Cáceres, Spain

author

Sergio J. Ibáñez

• University of Extremadura, Faculty of Sports Sciences, Cáceres, Spain

author

Raúl Martinez De Santos

• University of the Basque Country (UPV/EHU), Department of Physical Education and Sport, Vitoria–Gasteiz, Spain

author

Nuno Leite

• Research Center in Sports Sciences, Health Sciences, and Human Development (CIDESD)

author

Jaime Sampaio

• Research Center in Sports Sciences, Health Sciences, and Human Development (CIDESD)

References

• Bishop CM. Neural Networks for Pattern Recognition. Oxford: Oxford University Press; 1995
• Drust B. Performance analysis research: Meeting the challenge. J Sport Sci, 2010; 28(9): 921-922[Crossref][WoS]
• Durkovic T, Gjergja D, Marelic N, Antekolovic L, Resetar T. The analysis of two groups of basketball teams based on the situational parameters of the game. In D. Milanovic & F. Prot (Eds.), 4th InternationalScientific Conference on Kinesiology, Proceedings Book - Science and Profession - Challenge for the Future, 466-469; 2005
• Gómez MA, Lorenzo A, Ibáñez SJ, Ortega E, Leite N, Sampaio J. An analysis of defensive strategies used by home and away basketball teams. Percept Motor Skill, 2010; 110(1): 159-166[Crossref][WoS]
• Gómez MA, Lorenzo A, Ortega E, Sampaio J, Ibáñez SJ. Game related statistics discriminating between starters and nonstarters players in Women’s National Basketball Association League (WNBA). JSport Sci Med, 2009; 8: 278-283
• Gómez MA, Lorenzo A, Sampaio J, Ibáñez SJ, Ortega E. Game-related statistics that discriminated winning and losing teams from the Spanish men´s professional basketball teams. Collegium Antropol, 2008; 32(2): 315-319
• Hoofler R, Payne J. Measuring efficiency in the national basket association. Econ lett, 1997; 55(2): 293-299[Crossref]
• Hughes M, Franks IM. Notational Analysis of Sport. Systems for better coaching and performance in sport. London: Routledge; 2004
• Ibáñez SJ, García J, Feu S, Lorenzo A, Sampaio J. Effect of consecutive basketball games on the game-related statistics that discriminate winner and losing teams. J Sport Sci Med, 2009; 8: 458-462
• Ibáñez SJ, Sampaio J, Feu S, Lorenzo A, Gómez MA, Ortega E. Basketball game-related statistics that discriminate between teams´ season-long success. Eur J Sport Sci, 2008; 8(6): 1-4[WoS]
• Ibáñez SJ, Sampaio J, Sáenz-López P, Giménez J, Janeira MA. Game statistics discriminating the final outcome of junior world basketball championship matches (Portugal 1999). J Hum Mov Stu, 2009; 74: 1-19
• Ittenbach RF, Esters IG. Utility of team indices for predicting end of season ranking in two national polls. JSpor Behav, 1995; 18(3): 216-224
• Janeira MA, Mendes L, Sampaio J. Discriminatory power of game statistics winning or losing basketball games. Paper presented at 3erWorld Congress of Notational Analysis in Sports, Antalya, Turkey
• Karapidis A, Fotinakis A, Taxildaris K, Fatouros J. Factors characterizing a successful performance in basketball. J Hum Mov Stu, 2001; 14(5): 385-398
• Kioumourtzoglou E, Derri V, Tzetzis G, Theodorakis Y. Cognitive, perceptual, and motor abilities in basketball performance. Percept Motor Skill, 1998; 86: 771-786[Crossref]
• Leite N, Baker J, Sampaio J. Paths to expertise in Portuguese national team athletes. J Sport Sci Med, 2009; 8(4): 560-566
• Lorenzo A, Gómez MA, Ortega E, Ibáñez SJ, Sampaio J. Game related statistics which discriminate between winning and losing under-16 male basketball games. J Sport Sci Med, 2010; 9: 664-668
• Lyons M, Al-Nakeeb Y, Nevill A. The impact of moderate and high intensity total body fatigue on passing accuracy in expert and novice basketball players. J Sport Sci Med, 2006; 5(2): 215-22
• Norušis MJ. SPSS 13.0 Advanced statistical procedures companion. Upper Saddle River, NJ: Prentice Hall; 2005
• Ntoumanis N. A step-by-step Guide to SPSS for Sport and Exercise Studies. London: Routledge; 2001
• Oliver D. Basketball on paper. Rules and tools for performance analysis. Washinton, D.C.: Brassey's, Inc.; 2004
• Ortega E, Villarejo D, Palao JM. Differences in game statistics between winning and losing rugby teams in the six nations tournament. J Sport Sci Med, 2009; 8(4): 523-527
• Papadimitriou K, Taxildaris K, Derri V, Mantis K. Profile of different level basketball centers. J HumMovements Stud, 1999; 37: 87-105
• Pedhazur EJ. Multiple Regression in Behavioral Research. New York: Holt, Rinehart & Winston; 1982
• Pelton K. Olympic recap: The Final Numbers. Basketball Prospectus. Available at: http://www.basketballprospectus.com/article.php?articleid=409; accessed on 01.10.2008
• Sampaio J, Drinkwater EJ, Leite N. Effects of season period, team quality, and playing time on basketball players' game-related statistics. Eur J sport sci, 2010; 10(2): 141-149[Crossref]
• Sampaio J, Ibañez SJ, Feu S. Discriminative power of basketball game-related statistics by level of competition and sex. Percept motor Skill, 2004; 99: 1231-1238
• Sampaio J, Janeira M. Home advantage in Portuguese Basketball league: diferences between regular season and playoff. In: M. Janeira & E. Brandão (Eds.) Estudos 3 CEJD (pp. 93-100). Porto:FCDEF-UP. 2002
• Sampaio J, Janeira M. Statistical analyses of basketball team performance: Understanding teams’ wins and losses according to a different index of ball possessions. Int J Perform Anal Sport 2003; 3: 40-49
• Sampaio J, Lago C, Drinkwater E. Explanations for the United States of America's dominance in basketball at the Beijing Olympic Games (2008). J Sport Sci, 2010; 28(2), 147-152[WoS]
• Refoyo I, Romarís IU, Sampedro J. Analysis of men´s and women´s basketball fast-breaks. Rev Psicol Depor, 2009; 1: 439-444
• Royal KA, Farrow D, Mujika I, Halson SL, Pyne D, Abernethy B. The effects of fatigue on decision making and shooting skill performance in waterpolo players. J Sport Sci, 2006; 24(8): 807-815[Crossref]
• Trninić S, Dizdar D, Luksić E. Differences between winning and defeated top quality basketball teams in final tournaments of European club championship. Coll Antropol, 2002; 26(2): 521-531[PubMed]

Identifiers

DOI

10.2478/hukin-2013-0016