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Clustering performance in the European Basketball according to players’ characteristics and contextual variables
International Journal of Sports Science & Coaching ( IF 1.5 ) Pub Date : 2020-03-16 , DOI: 10.1177/1747954120911308
Nuno Mateus 1 , Pedro Esteves 1, 2 , Bruno Gonçalves 1 , Ivan Torres 3 , Miguel Angel Gomez 4 , Jorge Arede 1 , Nuno Leite 1, 3
Affiliation  

The aim of this study was two-fold: (i) to identify differences in the game performance profiles of basketball players in Euroleague and European national championships; and (ii) to analyse the influence of player-related (e.g. age or court-position) and contextual variables (e.g. distance travelled or game break) in players’ game-related statistics. Archival data from 2014/2015 and 2015/2016 seasons (n = 16,268 individual game performance records) of Euroleague and European national championships were separately analyzed using a two-step cluster model and then a discriminant analysis to differentiate the obtained groups. The clustering process allowed identifying three and five different performance player profiles for Euroleague and national championships, respectively. The discriminant analysis identified differences in Euroleague playing profiles, particularly related to performers’ age and court-position. In national championships, this trend was not observed. Regardless of the competition, a relationship was perceived between players’ performance and minutes played; conversely, the players’ performance seems to not be affected by contextual variables. The current results provide evidence of different players’ profiles in elite basketball to coaches regarding the influence of player-related and contextual variables. Coaching staffs may account for this information for better management and understanding of their team composition when playing in different competitions.

中文翻译:

根据球员的特征和上下文变量对欧洲篮球的表现进行聚类

本研究的目的有两个:(i) 确定欧洲联赛和欧洲国家锦标赛中篮球运动员的比赛表现差异;(ii) 分析球员相关数据(例如年龄或球场位置)和背景变量(例如行进距离或比赛中断)对球员比赛相关统计数据的影响。使用两步聚类模型分别分析了 2014/2015 和 2015/2016 赛季欧洲联赛和欧洲国家锦标赛的档案数据(n = 16,268 个人比赛表现记录),然后使用判别分析来区分获得的组。聚类过程允许分别为欧洲联赛和全国锦标赛确定三个和五个不同表现的球员档案。判别分析确定了欧洲联赛比赛概况的差异,特别是与表演者的年龄和球场位置有关的差异。在全国锦标赛中,没有观察到这种趋势。不管比赛如何,球员的表现和上场时间之间都存在关系;相反,球员的表现似乎不受上下文变量的影响。当前的结果为教练员提供了精英篮球中不同球员在球员相关和上下文变量影响方面的资料。教练组可能会考虑这些信息,以便在参加不同比赛时更好地管理和了解他们的团队组成。不管比赛如何,球员的表现和上场时间之间都存在关系;相反,球员的表现似乎不受上下文变量的影响。当前的结果为教练员提供了精英篮球中不同球员在球员相关和上下文变量影响方面的资料。教练组可能会考虑这些信息,以便在参加不同比赛时更好地管理和了解他们的团队组成。不管比赛如何,球员的表现和上场时间之间都存在关系;相反,球员的表现似乎不受上下文变量的影响。当前的结果为教练员提供了精英篮球中不同球员在球员相关和上下文变量影响方面的资料。教练组可能会考虑这些信息,以便在参加不同比赛时更好地管理和了解他们的团队组成。
更新日期:2020-03-16
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