Analysis of tasks and training load during pre-season training in professional basketball

IF 1.1 Q3 SPORT SCIENCES
Olga Calle, Pablo López-Sierra, Sebastián Feu, Sergio J. Ibáñez
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引用次数: 0

Abstract

Introduction

In the quest to improve basketball players' performance during the season, the analysis of the training processes during the pre-season is crucial to successfully face the competition period. The aim of this research was to characterize the training tasks of a professional basketball team of the ACB category during the 2022/23 pre-season, as well as to analyze the relationship between the game situation with the pedagogical variables and External Load variables.

Materials and Methods

The sample consisted of 107 tasks during 20 sessions of a Spanish first division professional basketball team. The dependent variables were the pedagogical variables and the external load. The independent variable was the Game Situation, understood as the organization of the players during the tasks. All variables were recorded using the Integral System for the Analysis of Training Tasks (SIATE) tool. A descriptive and inferential analysis was carried out to determine the relationships between the game situation with the pedagogical and external load variables.

Results

All indicators of the pedagogical and external load variables show a statistically significant association with the game situation (p<.05).

Conclusions

Therefore, the pedagogical and external load variables are conditioned by the game situation. Positioning itself as a variable of great relevance for the planning of the sessions, as its design facilitates the achievement of the proposed objectives and more effective training sessions.
职业篮球季前训练的任务和训练负荷分析
导言:为了提高篮球运动员在赛季中的表现,分析季前赛的训练过程对于成功面对比赛至关重要。本研究旨在分析一支 ACB 职 业篮球队在 2022/23 赛季前的训练任务特点,并分析比赛情况与教学变量和外部负荷变量之间的关系。因变量为教学变量和外部负荷变量。自变量为比赛情况,即任务期间球员的组织情况。所有变量均使用训练任务分析综合系统(SIATE)工具进行记录。为了确定游戏情况与教学和外部负荷变量之间的关系,我们进行了描述性和推论性分析。结果教学和外部负荷变量的所有指标都与游戏情况有显著的统计学关联(p<.05)。定位本身就是一个与培训课程规划密切相关的变量,因为其设计有助于实现拟议的目标和更有效的培训课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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