Relationship Between Athletic Performance Tests and Playing Time in Elite College Basketball Players

Hoffman, Jay R.; Tenenbaum, Gershon; Maresh, Carl M.; Kraemer, William J.

doi:10.1519/1533-4287(1996)010<0067:rbapta>2.3.co;2

Cited by 62 publications

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“…In contrast, females basketball players with higher VO 2 max were noted to play for longer durations 12 . Similarly, low to moderate correlations were observed between components of anaerobic power and the playing time in university players 29 . The unexpected results in the present study led us to speculate that the greatest determinant of the permanence of professional players in the game is the perception of the coach about their ability and game efficiency rather than their physical condition.…”

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confidence: 86%

Relationship between physical fitness and game-related statistics in elite professional basketball players: Regular season vs. playoffs

Gomes

Mendes

Almeida

et al. 2017

Motriz: rev. educ. fis.

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-Aims:This study aimed to verify the relationship between of anthropometric and physical performance variables with game-related statistics in professional elite basketball players during a competition. Methods: Eleven male basketball players were evaluated during 10 weeks in two distinct moments (regular season and playoffs). Overall, 11 variables of physical fitness and 13 variables of game-related statistics were analysed. Results: The following significant Pearson's correlations were found in regular season: percentage of fat mass with assists (r = -0.62) and steals (r = -0.63); height (r = 0.68), lean mass (r = 0.64), and maximum strength (r = 0.67) with blocks; squat jump with steals (r = 0.63); and time in the T-test with successful two-point field-goals (r = -0.65), successful free-throws (r = -0.61), and steals (r = -0.62). However, in playoffs, only stature and lean mass maintained these correlations (p ≤ 0.05). Conclusions: The anthropometric and physical characteristics of the players showed few correlations with the game-related statistics in regular season, and these correlations are even lower in the playoff games of a professional elite championship, wherefore, not being good predictors of technical performance.

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confidence: 86%

Relationship between physical fitness and game-related statistics in elite professional basketball players: Regular season vs. playoffs

Gomes

Mendes

Almeida

et al. 2017

Motriz: rev. educ. fis.

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“…The ability to jump higher and cut quicker is of upmost importance when attempting to outperform the competition. Hoffman, et al, (1996) displayed that Division 1 collegiate basketball players with the highest vertical jump receive more playing time than the players that could not jump as high. In addition to maximal jumping ability, athletes are also challenged to perform in both stable and unstable conditions.…”

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Trunk extensor fatigue decreases jump height similarly under stable and unstable conditions with experienced jumpers

2014

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“…Although the majority of play time is devoted to activities aerobic in nature (6,37), anaerobic metabolism makes an important contribution to the energy demands of basketball (6). Anaerobic performance is a predictor of playing time in youth (19) and of playing level (34) in adults.…”

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confidence: 99%

Cross-Validation and Reliability of the Line-Drill Test of Anaerobic Performance in Basketball Players 14–16 Years

Carvalho¹,

Coelho‐e‐Silva²,

Figueiredo³

et al. 2011

Journal of Strength and Conditioning Research

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Carvalho, HM, Coelho e Silva, MJ, Figueiredo, AJ, Gonc xalves, CE, Castagna, C, Philippaerts, RM, and Malina RM. Cross-validation and reliability of the line-drill test of anaerobic performance in basketball players 14-16 years. J Strength Cond Res 25(4): 1113-1119, 2011-This study evaluates the validity and reliability of the line-drill (LD) test of anaerobic performance in 76 male basketball players 14.0-16.0 years of age. The Wingate Anaerobic Test (WAnT) was used as the reference for anaerobic performance. Wingate Anaerobic Test and LD test were moderately correlated (0.39 and 0.43, p , 0.01). Estimated age at peak height velocity (APHV) was moderately, negatively, and significantly (p , 0.01) correlated with WAnT peak (r = 20.69) and mean power (r = 20.71); earlier-maturing players had greater anaerobic power. Training experience was not associated with anaerobic performance, but chronological age (CA) and estimated APHV were significant covariates of the LD test (p , 0.05). National players were better than local players on the LD test (p , 0.01) after controlling for CA and body size. Short-term reliability of the LD test (n = 12, 1-week interval) was good: technical error of measurement = 0.44 seconds (95% confidence interval [CI] 0.31-0.75 seconds), intraclass correlation coefficient = 0.91 (95% CI 0.68-0.97), and coefficient of variation = 1.4% (95% CI 1.0-2.3%). Although the relationship between the LD test and WAnT was moderate, the LD test effectively distinguished local-and national-level adolescent basketball players. In contrast to WAnT, the LD test was not influenced by estimated biological maturity status. Thus, the LD test may be suitable for field assessment of anaerobic performance of youth basketball players.

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Relationship Between Athletic Performance Tests and Playing Time in Elite College Basketball Players

Cited by 62 publications

References 0 publications

Relationship between physical fitness and game-related statistics in elite professional basketball players: Regular season vs. playoffs

Relationship between physical fitness and game-related statistics in elite professional basketball players: Regular season vs. playoffs

Trunk extensor fatigue decreases jump height similarly under stable and unstable conditions with experienced jumpers

Cross-Validation and Reliability of the Line-Drill Test of Anaerobic Performance in Basketball Players 14–16 Years

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