Table · dataset · 2026
Data Sheet 1_Team performance evaluation in the 2025 FIBA Men’s Asia Cup: an entropy-weighted rank-sum ratio analysis with a case study of the China–Australia final.docx
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<p>The evaluation of basketball performance has become increasingly multidimensional.
Description
However, relatively few studies have connected tournament-wide performance profiles with performance deviations in key matches, limiting the simultaneous interpretation of teams' relative competitive status and final-match statistical differences. Using official FIBA Box Score data from all 36 games of the 2025 FIBA Men's Asia Cup, a team-game-level multidimensional dataset was constructed.
An entropy-weighted rank-sum ratio (WRSR) model was used to evaluate the comprehensive technical performance of the 16 participating teams, followed by tournament-level comparison and final-match deviation analysis of China and Australia. Assists, steals, offensive rebounds, and free throw percentage accounted for a cumulative entropy weight of 46.72%. Australia ranked first (WRSR = 0.7714) and was classified as Excellent, whereas China ranked seventh and was classified as Good.
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China showed higher shooting efficiency and fewer turnovers, while Australia recorded higher values for points, rebounds, assists, steals, and blocks. Relative to their pre-final baselines, China's free throw percentage increased by 10.5%, whereas offensive rebounds, assists, and steals decreased by 23.1%, 8.6%, and 34.8%, respectively. Australia's turnovers decreased by 53.1%, while assists and blocks increased by 19.8% and 42.9%.
The final-match differences were concentrated mainly in possession control, offensive organization, defensive pressure, and rim protection. This study presents a reproducible tournament-level framework that integrates multidimensional technical evaluation with key-match deviation analysis, providing quantitative support for post-match diagnosis and between-match preparation while remaining complementary to real-time and possession-level performance analysis.</p>
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- DOI doi.org/10.3389/fspor.2026.1919832.s001 ↗
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