Power and agility testing within the NBA pre-draft combine

Authors

DOI:

https://doi.org/10.1590/1980-0037.2019v21e59838

Abstract

Considering agility is a prerequisite for basketball performance and several agility tests have been used during the pre-draft assessment of the National Basketball Association (NBA), the aimed of this study was to examine the associations between pre-draft athletes´ performance scores in NBA draft combine testing protocol. The performance of 480 athletes invited to the NBA pre-draft assessment from 2010 to 2017 was considered. Tests in the NBA Draft Combine considered in this study included the Shuttle Run Test, Lane Agility Test, Sprint Test, and Jump Test (standing vertical leap). Zero order correlations were calculated to examine the associations between performance tests by fitting Bayesian linear regression models. Among running testing, both Shuttle Run Test [r=0.45, 95% confidence interval (CI) 0.34 to 0.56) and Sprint Test (r=0.45, 95% CI 0.37 to 0.54) were moderately associated with the Lane Agility Test. The association between the Sprint Test and Shuttle Run Test was moderate at best (r=0.27, 95% CI 0.16 to 0.38). Correlations between Jump Test and running tests were moderate to large, ranging from -0.51 to -0.19 (Lane Agility Test: r=-0.33, 95% CI -0.42 to -0.24; Shuttle Run Test: r=-0.19, 95% CI -0.31 to -0.07; Sprint Test:  r=-0.51, 95% CI -0.59 to -0.43). As a conclusion, we found a moderate to large correlations between the tests performance of the NBA Draft Combine, implying that the overall procedures may provide in part overlapping information about basketball maximal short term performance.

References

Sullivan C, Kempton T, Ward P, Coutts AJ. Factors associated with early career progression in professional Australian Football players. J Sport Sci 2018;36(19):2196-201.

Teramoto M, Cross CL, Rieger RH, Maak TG, Willick SE. Predictive Validity of National Basketball Association Draft Combine on Future Performance. J Strength Cond Res 2018;32(2):396-408.

Foran B, Pound R. NBCCA: Complete conditioning for basketball. Champaign, IL: Human Kinetics; 2007.

Wen N, Dalbo VJ, Burgos B, Pyne DB, Scanlan AT. Power testing in basketball: Current practice and future recommendations. J Strength Cond Res 2018;32(9):2677-91.

Mcgee KJ, Burkett LN. The National Football League combine: a reliable predictor of draft status? J Strength Cond Res 2003;17(1):6-11.

Kuzmits FE, Adams AJ. The NFL combine: does it predict performance in the National Football League? J Strength Cond Res 2008;22(6):1721-7.

Robbins DW. The National Football League (NFL) combine: does normalized data better predict performance in the NFL draft? J Strength Cond Res 2010;24(11):2888-99.

Team SD. Stan: A C++ Library for Probability and Sampling; 2015. Avaliable from: https://mc-stan.org/ [2018 jun 23].

McElreath R. Rethinking: an R package for fitting and manipulating Bayesian models. Version 1.56; 2016. Avaliable from: http://xcelab.net/R/rethinking_package.pdf [2018 jun 23].

McElreath R. Statistical rethinking: a Bayesian course with examples in R and Stan. Boca Raton, FL: Chapman & Hall/CRC Press; 2015.

Team RC. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2015.

Berri DJ, Brook SL, Fenn AJ. From college to the pros: Predicting the NBA amateur player draft. J Prod Analysis 2011;35(1):25-35.

Rodenberg RM, Woo Kim J. Precocity and labor market outcomes: evidence from professional basketball. Econ Bull 2011;31(3):2185-90.

Moxley JH, Towne TJ. Predicting success in the national basketball association: Stability & potential. Psychol Sport Exerc 2015;16(1):128-36.

Hoffman JR, Tenenbaum G, Maresh CM, Kraemer WJ. Relationship between athletic performance tests and playing time in elite college basketball players. J Strength Cond 1996;10(2):67-71.

Lowe Z. Grantland: a whole new ballgame; 2012. Available from: http://grantland.com/features/what-next-trend-sweep-nba/ [2018 jul 03].

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Published

2019-12-31

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Original Articles