Performance Analysis in Elite Basketball Differentiating Game Outcome And Gender

Author:

Bezerra Marcos

Abstract

Traditionally, basketball research has used game-related statistics in order to discriminate winning and losing teams. Unfortunately, most investigations refer exclusively to the analysis of men's competitions. In this sense, Tokyo 2020 Olympic Games created a unique opportunity to make gender performance comparison feasible, since it provided same period and environmental conditions for both genders. The aim of this study was to identify which game-related statistics best discriminated winning and losing teams in men and women’s team playing Tokyo 2020 Basketball Olympic Tournament. All statistical data for the 26 games of each gender were obtained from the FIBA website. The MANOVA and discriminant analysis models were run to check differences according to gender and game outcome. The main results revealed 2-point field-goals percentage, defensive rebounds, assists, points in the paint, and effective field goal percentage as key variables to succeed in men and women’s games. However, there were gender discrepancies on 2-point field-goals made, points from turnovers, turnover per ball possession rate (relevant only when discriminating men’s winning teams), and fastbreak points, offensive rebounds percentage, and free-throw rate (only for women’s winning teams). Winning and losing discriminant statistics were quite similar for both, men and women’s teams when only considering traditional box-score stats, but not when analyzing advanced stats.

Publisher

Universidad Miguel Hernandez de Elche

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3