Game Indicators Determining Sports Performance in the NBA

Open access

The main goal of the present study was to identify basketball game performance indicators which best determine sports level in the National Basketball Association (NBA) league. The research material consisted of all NBA game statistics at the turn of eight seasons (2003-11) and included 52 performance variables. Through detailed analysis the variables with high influence on game effectiveness were selected for final procedures. It has been proven that a limited number of factors, mostly offensive, determines sports performance in the NBA. The most critical indicators are: Win%, Offensive EFF, 3rd Quarter PPG, Win% CG, Avg Fauls and Avg Steals. In practical applications these results connected with top teams and elite players may help coaches to design better training programs.

Akers M, Wolff S, Buttross T. An empirical examination of the factors affecting the success of NCAA division I college basketball teams. Journal of Business and Economic Studies, 1991; 1: 57-71

Csataljay G, James N, Hughes M, Dancs H.Performance indicators that distinguish winning and losing teams in basketball. Int. J Perform Anal Sport, 2009; 9: 60- 66

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 and F. Prot (Eds.), 4th International Scientific Conference on Kinesiology, Proceeding Book - Science and Profession - Challenge for the Future: 466-469; 2005

Ferguson GA, Takane Y. Statistical analysis in pedagogical and psychological science. Wydawnictwo NaukowePWN, 1997; 18-27

Ginevan ME, Splitstone DE. Statistical Tools for Environmental Quality Measurement; 2004

Gomez MA, Lorenzo A, Sampaio J, Ibanez 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

Gomez MA, Lorenzo A, Ortega E, Sampaio J, Ibanez SJ. Game-related statistics discriminating between starters and nonstarters players in Women’s National Basketball Association League (WNBA). J SportSci Med, 2009; 8:278-283

Gomez MA, Lorenzo A, Ibanez SJ, Ortega E, Leite N, Sampaio J. An analysis of defensive strategies use by home and away basketball teams. Percept Motor Skill, 2010; 110 (1): 159-166

Greene W. Econometric Analysis. New Jersey: Prentice Hall; 2003

Hofler RA, Payne JE. Measuring efficiency in the National Basketball Association. Economics Letters, 1997; 55: 293-99

Hughes M, Franks IM. Notational Analysis of Sport. Systems for better coaching and performance in sport. London: Routledge; 2004

Ibáñez SJ, Sampaio J, Feu S, Lorenzo A, Gomez MA, Ortega E. Basketball game-related statistics that discriminate between teams‘ season-long success. Eur J Sport Sci, 2008; 8(6): 1-4

Ittenbach RF, Esters IG. Utility of team indices for predicting end of season ranking in two national polls. J ofSport Behavior, 1995; 18: 216-25

Jaccard J, Turrisi W. Interaction Effects in Multiple Regression. Quanitative Applications in the Social Sciences, 1990; 70-72

Karipidis A, Fotinakis P, Taxildaris K, Fatouros J. Factors characterising a successful performance In basketball. J of Human Movement Studies, 2001; 41: 385-97

Keele L, Kelly NJ. Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables. Political Analysis, 2006; 14:186-205

Kozar B, Vaughn RE, Lord RH, Whitfield KE. Importance of free- throws AT various stages of basketball games. Perceptual and Motor Skills, 1994; 78: 243-48

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, Gomez MA, Ortega E, Ibanez SJ, Sampaio J. Game related statistics which discriminate between 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): 215-222

Maestas C, Preuhs RR. Modelling volatility in political time series. Electoral Studies, 2000; 19(1): 95-110

McCullough BD, Wilson B. On the accuracy of statistical procedures in Microsoft Excel 2003. ComputationalStatistics and Data Analysis, 2005; 49: 1244-1252

Melnick MJ. Relationship between team assists and win-loss record in The National Basketball Association. Percept Mot Ski, 2001; 92(2): 595-602

Oliver D. What wins basketball games, a review of „Basketball on paper: Rules and tools for performance analysis”. Polomac Books, 2005; 26-85

Ortega E, Villarejo D, Palao JM. Differences in game statistics between winning and losing teams rubgy teams in the six nations tournament. J Sport Sci Med, 2009; 8(4): 523-527

Royal KA, Farrow D, Mujika I, Halson SL, Pyne D, Abernethy D. The effects of fatigue on decision making and shooting skill performance in waterpolo players. J Sport Sci, 2006; 24(8): 807-815

Sampaio J, Janeira M. Home advantage in Portuguese Basketball league: differenced between regular season and playoff. In M. Janeira and E. Brandao (Eds.) Estudos 3 CEJD Porto: FCDEF-UP, 93-100; 2002

Sampaio J, Janeira M. Statistical analyses of basketball team performance: understanding teams wins and losses according to a different index of Ball Possession. Int. J of Perform Anal in Sport, 2003; 3: 40-49

Sampaio J, Ibáñez SJ, Feu S. Discriminative power of basketball game-related statistics by level of competition and sex. Perceptual motor Skill, 2004; 99: 1231-1238

Sampaio J, Lago-Peñas C, Drinkwater E. Explanations for the United States of America’s dominance in basketball at the Beijing Olympic Games. J Sports Sci, 2008; 28(2): 147-52

Trninić S, Dizdar D, Dezman B. Pragmatic Validity of the Combined Model of Expert System for Assessment and Analysis of the Actual Quality Overall Structure of Basketball players. Coll. Antr, 2002; 26: 199-210

Trninić S, Dizdar D, Luksić E. Differences Between Winning and Defeated Top Quality Basketball Teams in Final Tournaments of European ClubChampionship. Coll. Antr, 2002; 26(2): 521-31

Journal of Human Kinetics

The Journal of Academy of Physical Education in Katowice

Journal Information

IMPACT FACTOR 2017: 1.174
5-year IMPACT FACTOR: 1.634

CiteScore 2017: 1.31

SCImago Journal Rank (SJR) 2017: 0.516
Source Normalized Impact per Paper (SNIP) 2017: 0.906

Cited By


All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 635 617 38
PDF Downloads 436 422 21