基于2022年男篮亚洲杯比赛记录的球员聚类分析

Yuan-Zhen Ni, Seong-No Lee, Deok-Soo Yoo
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引用次数: 0

摘要

本研究的目的是根据亚洲杯官方网站提供的数据,确定参加2022年第30届男篮亚洲杯比赛的球员和明星球员之间的表现水平是否存在差异。聚类使用k-means聚类分析,这是机器学习技术之一。本研究的研究对象是通过2022年男篮亚洲杯比赛官方记录获得的16支参赛球队189名球员的比赛记录,通过共21个变量比较球员表现特征的差异。本研究使用统计程序Python 3.10.1版本和库进行聚类分析。统计学分析的显著性水平均设为0.05,所得结果如下:首先,利用2022年男篮亚洲杯比赛的官方记录进行聚类分析,将参加男篮亚洲杯比赛的各国球员分为三类。第二,聚类1、聚类2和聚类3的分组成绩差异有统计学意义,事后检验结果显示聚类2的分组成绩最好。接下来,按照集群3 >集群1的顺序进行确认。第三,异常检测结果显示,聚类分析结果中有9个异常值。看着这个,Q。周”、“H。EHaddadi ', '。Al dairi ', ' G。“类风湿性关节炎”,“D。Chism ', '。Alderazi”、“W。Artino”、“M。博尔登”、“W。Arakji ' 9是篮球运动员。第四,将异常值球员和所有剩余球员分为得分、投篮命中、投篮尝试、2分命中、2分尝试、罚球命中、罚球尝试、进攻篮板、防守篮板、失误,盖帽和效率有显著差异。总结本研究的结果,从领导者的角度出发,可以根据每组球员的特点,设计和实施下一届男篮亚洲杯比赛的战略战术。在球员方面,根据每组球员的表现特点,可以确定个人的表现水平以及与其他优秀球员在比赛中的表现差距。
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Cluster Analysis of Payers through the 2022 FIBA Men"s Basketball Asian Cup Match Records
The purpose of this study is to determine whether there is a difference in performance level among participating players and the participation of star players in the 30th Men"s Basketball Asia Cup in 2022, based on box score data provided on the official Asian Cup website. Clustering was performed using k-means cluster analysis, one of the machine learning techniques. The subject of this study was the game records of 189 players out of 16 teams participating in the tournament obtained through the official records of the 2022 Men"s Basketball Asian Cup tournament, and differences in the players" performance characteristics were compared through a total of 21 variables. This study used the statistical program Python version 3.10.1 along with the library to perform cluster analysis. All significance levels for statistical analysis were set to .05, and the results obtained were as follows. First, as a result of cluster analysis using official records provided by the 2022 Men"s Basketball Asian Cup competition, players from each country at the Basketball Asian Cup could be classified into three clusters. Second, there was a statistically significant difference in performance by cluster between cluster 1, cluster 2, and cluster 3, and the post-hoc test results showed that the players in cluster 2 had the best performance. Next, it was confirmed in the order of cluster 3 > cluster 1. Third, the abnormality detection results showed that there were 9 abnormal values among the cluster analysis results. Looking at this, ‘Q. Zhou’, ‘H. EHaddadi’, ‘A. Al Dwairi’, ‘G. ‘RA’, ‘D. Chism’, ‘A. Alderazi’, ‘W. Artino’, ‘M. Bolden’, ‘W. Arakji’ 9 were found to be basketball players. Fourth, the outlier players and all remaining players are divided into points, shots made, shot attempts, 2-point shots made, 2-point shots attempted, free throws made, free throw attempts, offensive rebounds, defensive rebounds, turnovers, There was a significant difference in block and efficiency. Summarizing the results of this study, from the perspective of a leader, strategies and tactics for the next men"s basketball Asia Cup tournament can be designed and implemented based on the characteristics of the players in each group. On the player side, based on the performance characteristics of players in each group, it is possible to determine the individual"s performance level and the gap in performance with other excellent players in this competition.
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