2012
DOI: 10.1519/jsc.0b013e3182576a76
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Predicting Performance and Injury Resilience From Movement Quality and Fitness Scores in a Basketball Team Over 2 Years

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Cited by 84 publications
(77 citation statements)
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“…For instance, in basketball, the most winning teams are considered those with higher numbers of successful free-throws, rebounds 7 , and steals, and opponent's turnovers 8 . On the other hand, few studies have focused on professional players during a competitive season, analyzing their anthropometric and physical adaptations in relationship with game-related statistics 2,[9][10][11] . Particularly, no publications that have analyzed the performance of players in two distinct moments of the competition phase, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, in basketball, the most winning teams are considered those with higher numbers of successful free-throws, rebounds 7 , and steals, and opponent's turnovers 8 . On the other hand, few studies have focused on professional players during a competitive season, analyzing their anthropometric and physical adaptations in relationship with game-related statistics 2,[9][10][11] . Particularly, no publications that have analyzed the performance of players in two distinct moments of the competition phase, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…This is consistent with research demonstrating lane agility (r=-0.59), to be a strong and consistent predictor of game performance. 16 These findings indicate the ability of physical performance testing to predict on field performance and subsequent playing time in basketball athletes.…”
Section: Introductionmentioning
confidence: 82%
“…11 These authors also observed a low correlation between upper body strength, measured by a 1-RM bench press (r=0.14) and playing time in the same population. 11 Lower body power as measured by a vertical jump (r=0.58) 11 and standing long jump (r=0.67) 16 has shown to have a strong correlation, whereas aerobic capacity (r=-0.42), 27 m sprint performance (r=-0.62) and t-test (r=-0.33) to have strong and consistent correlates of playing time in DI male basketball players, respectively. This is consistent with research demonstrating lane agility (r=-0.59), to be a strong and consistent predictor of game performance.…”
Section: Introductionmentioning
confidence: 99%
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