Key game indicators in NBA players’ performance profiles

IF 0.9 4区医学 Q4 REHABILITATION

Kinesiology Pub Date : 2019-03-26 DOI:10.26582/k.51.1.9

R. Dehesa, A. Vaquera, B. Gonçalves, Nuno Mateus, M. Gómez-Ruano, J. Sampaio

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引用次数: 13

Abstract

The aim of the present study was to identify and describe players’ performances in NBA games using individual and team-based game variables. The sample was composed by 535 balanced games (score differences below or equal to eight points) from the regular season (n=502) and the playoffs (n=33). A total of 472 players were analysed. The individual-based variables were: minutes on court, effective field-goal percentage, free-throws/field-goals ratio, offensive rebound percentage, turnover percentage and playing position. The team-based variables were: team points minus opponent’s points (on and off court), NET score (player’s on values minus his/her off values), maximum negative and positive point difference, team’s winning percentage, game pace, defensive and offensive ratings. A two-step cluster analysis was performed to identify the player’s profiles during regular season and playoff games. The results identified five performance profiles during regular season games and four performance profiles during playoff games. The profiles identified were mainly characterized by the game quarter and the negative NET indicator (players’ performance on court minus their performance off court) in regular season games and the positive NET indicator during playoff games and second and third game-quarters. Coaching staffs can fine-tune these profiles to develop more team-specific models and, conversely, use the results to monitor and rebuild team formation under the constrained dynamics of the game and competition stages.

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NBA球员表现档案中的关键比赛指标

本研究的目的是识别和描述球员在NBA比赛中的表现，使用个人和团队为基础的比赛变量。样本由来自常规赛(n=502)和季后赛(n=33)的535场平衡比赛(得分差低于或等于8分)组成。总共分析了472名球员。基于个人的变量包括:上场时间、有效投篮命中率、罚球/投篮命中率、进攻篮板率、失误率和上场位置。基于球队的变量是:球队得分减去对手的得分(场上和场下)，净得分(球员的得分减去他/她的得分)，最大负和正分差，球队的胜率，比赛节奏，防守和进攻评级。通过两步聚类分析来确定球员在常规赛和季后赛中的个人资料。结果确定了常规赛中的五种表现特征和季后赛中的四种表现特征。所识别的特征主要体现在常规赛的比赛季度和负NET指标(球员在场上的表现减去场外的表现)，以及季后赛和第二、第三场比赛的正NET指标。教练组可以对这些资料进行微调，以开发更具体的团队模型，反过来，使用结果来监控和重建在比赛和比赛阶段的受限动态下的团队形成。

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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来源期刊

Kinesiology REHABILITATION-SPORT SCIENCES

CiteScore

1.90

自引率

8.30%

发文量

审稿时长

>12 weeks

期刊介绍： Kinesiology – International Journal of Fundamental and Applied Kinesiology (print ISSN 1331- 1441, online ISSN 1848-638X) publishes twice a year scientific papers and other written material from kinesiology (a scientific discipline which investigates art and science of human movement; in the meaning and scope close to the idiom “sport sciences”) and other adjacent human sciences focused on sport and exercise, primarily from anthropology (biological and cultural alike), medicine, sociology, psychology, natural sciences and mathematics applied to sport in its broadest sense, history, and others. Contributions of high scientific interest, including also results of theoretical analyses and their practical application in physical education, sport, physical recreation and kinesitherapy, are accepted for publication. The following sections define the scope of the journal: Sport and sports activities, Physical education, Recreation/leisure, Kinesiological anthropology, Training methods, Biology of sport and exercise, Sports medicine and physiology of sport, Biomechanics, History of sport and Book reviews with news.