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

Abstract

-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.

The Relationship Between Physical Fitness Qualities and Sport-Specific Technical Skills in Female, Team-Based Ball Players: A Systematic Review

“…Thus, being taller, heavier with greater muscle mass, having a larger hand span surface area, and a longer arm extension length may better enable a player to successfully reach and collect rebounds than their opposition. Similar relationships have also been demonstrated in male basketball players [95,96]. A common strategy in basketball involves determining a player's position based on their body size [97].…”

Effects of Prior High-Strength Effort on Technical-Tactical Performance in University Basketball Players

“…No estudo de Gomes et al 27 foi observado que na temporada regular e nos playoffs a aptidão física foi semelhante em 11 atletas de elite do basquetebol brasileiro. E ao analisar algumas variáveis das estatísticas de jogo percebeu-se que na temporada regular os atletas com maior massa magra cometeram menos erros, bem como os com maior massa magra, estatura, força máxima e potência muscular realizaram mais bloqueios de arremesso, enquanto a agilidade mostrou correlação com aumento das cestas de dois pontos, lances livres e bolas recuperadas.…”

“…Apesar de todos os cuidados metodológicos para tentar reduzir efeitos de variáveis intervenientes às análises, o presente estudo possui algumas limitações que merecem ser abordadas. Diferentemente do estudo de Gomes et al 27 , as medidas de aptidão física dos atletas contemplaram exclusivamente a determinação da potência aeróbia e a capacidade anaeróbia. Na ocasião dos experimentos não havia clara indicação de que outros atributos da aptidão física, tais como velocidade, agilidade ou composição corporal, pudessem interferir no desempenho técnico-tático da forma como foi analisado aqui.…”

Influencia del resultado en las demandas de carga externa durante la competición oficial en baloncesto formación

“…Pero, la gran cantidad de variables que nos aportan, deben de ser previamente reducidas para una simplificación en su análisis (Svilar, Castellano, Jukic, y Casamichana, 2018). Por tanto, su registro se ha convertido en imprescindible para el análisis de la carga física, debido a su relación con los indicadores de rendimiento y las variables situaciones que determinan el éxito en la competición (Gomes et al, 2017).…”