HIGHLIGHTS
- What: This study was designed to support the tactical decisions of_(WB) coaches in identifying the best players to form winning Data related to complete regular season of top-level WB Championship were examined. In line with the aims of the study , the authors applied a non-participative approach. The authors applied the k-means clustering method described by Zuccolotto and Manisera to seven gamerelated statistics (FTM, P2M, P3M, PTS, ST, REB, and AS) from the first-round dataset, utilizing radial plots of the average profile to visualize and compare the patterns of mean values of the . . .
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