Basketball Game-Related Statistics that Discriminate Between European Players Competing in the NBA and in the Euroleague
Basketball Game-Related Statistics that Discriminate Between European Players Competing in the NBA and in the Euroleague
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DOI：
10.2478/hukin-2018-0030
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发表时间：
2018-12-01
影响因子：
2.3
通讯作者：
Sampaio, Jaime
中科院分区：
文献类型：
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作者：
Paulauskas, Rutenis;Masiulis, Nerijus;Sampaio, Jaime
本研究旨在确定在同一事件中竞争时，欧洲联盟篮球运动员和在NBA打球的欧洲篮球运动员之间的比赛相关统计数据（EuroBasket 2015）。共有24支球队参加了两组分析的78场比赛：NBA，参加2014-2015赛季NBA欧洲锦标赛的参与者（n = 26）;欧洲联赛，参加2014- 2015赛季欧洲联赛的欧洲锦标赛的参与者（n = 82）。球员的表现变量被标准化为他们在球场上所花的时间。为了确定哪些变量最能区分NBA和欧洲联赛的表现概况，进行了描述性判别分析。矩阵的结构系数（SC）大于垂直条0.30垂直条被解释为对区分各组有意义的贡献。结果显示，（p = 0.008，典型相关系数为0.51，Lambda = 0.74，重新分类= 84.2%），比赛相关统计数据中的实质性表现差异与体型的影响密切相关（身高和体重），如两点场进球（SC = 0.42）和错过（SC = 0.40），罚球（SC = 0.55），防守篮板（SC = 0.62），盖帽（SC = 0.48）和遭受犯规（SC = 0.34）。在与感知间接相关的比赛相关统计数据（如助攻、失误或抢断）水平上没有发现差异。此外，NBA球员更大的体型可能与更高的表现差异有关，因此，这是教练和招聘人员分析的一个重要话题。
This study aimed to identify the game-related statistics that discriminated between Euroleague basketball players and European basketball players playing in the NBA, when competing in the same event (EuroBasket 2015). There was a total of 78 matches played by 24 teams in two groups of analysis: NBA, participants in the European Championship who played in the NBA season of 2014-2015 (n = 26); Euroleague, participants in the European Championship who played in the Euroleague season of 2014- 2015 (n = 82). The players' performance variables were normalized to the time they spent on the court. To identify which variables best discriminated between the NBA and the Euroleague performance profiles, a descriptive discriminant analysis was conducted. Structure coefficients (SC) from the matrix greater than vertical bar 0.30 vertical bar were interpreted as meaningful contributors to discriminating between the groups. The results revealed a significant function (p = 0.008, canonical correlation of 0.51, Lambda = 0.74, reclassification = 84.2%) and substantial performance differences in game-related statistics much related to the influence of body size (body height and mass), such as two-point field goals made (SC = 0.42) and missed (SC = 0.40), free-throws made (SC = 0.55), defensive rebounds (SC = 0.62), blocks (SC = 0.48) and suffered fouls (SC = 0.34). No differences were found at the level of game-related statistics indirectly related to perception, such as assists, turnovers or steals. Also, the greater body size in NBA players was likely related to higher variability in performance, thus, being an important topic for coaches and recruiters to analyse.