10.6084/m9.figshare.5668297.v1
João Henrique Gomes
João Henrique
Gomes
Renata Rebello Mendes
Renata
Rebello Mendes
Marcos Bezerra de Almeida
Marcos Bezerra de
Almeida
Marcelo Callegari Zanetti
Marcelo Callegari
Zanetti
Gerson dos Santos Leite
Gerson dos Santos
Leite
Aylton José Figueira Júnior
Aylton José
Figueira Júnior
Relationship between physical fitness and game-related statistics in elite professional basketball players: Regular season vs. playoffs
SciELO journals
2017
anthropometric
physical performance tests
basketball
game-related statistics
2017-12-05 09:31:54
Dataset
https://scielo.figshare.com/articles/dataset/Relationship_between_physical_fitness_and_game-related_statistics_in_elite_professional_basketball_players_Regular_season_vs_playoffs/5668297
<div><p>Abstract AIMS This study aimed to verify th erelation ship 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’scorrelations 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 success ful two-point field-goals (r = -0.65), success ful 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 Champion ship, wherefore, not being good predictors of technical performance.</p></div>