{"title":"Cluster Analysis of Payers through the 2022 FIBA Men\"s Basketball Asian Cup Match Records","authors":"Yuan-Zhen Ni, Seong-No Lee, Deok-Soo Yoo","doi":"10.35159/kjss.2023.10.32.5.913","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"47 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Korean Society of Sports Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35159/kjss.2023.10.32.5.913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.