This paper presents a structured and comprehensive dataset corresponding to the 2025 Asia Cup T20 cricket tournament, designed to facilitate data-driven research in sports analytics. The dataset comprises records from all 19 matches of the tournament and includes 61 variables covering team scores, wickets, powerplay statistics, boundary counts, toss decisions, venues, and player-specific highlights. To demonstrate its analytical value, we conduct an exploratory data analysis focusing on team performance indicators, boundary distributions, and scoring patterns. The dataset is publicly released through Zenodo under a CC-BY 4.0 license to support reproducibility and further research in cricket analytics, predictive modeling, and strategic decision-making. This work contributes an open, machine-readable benchmark dataset for advancing cricket analytics research.

翻译：本文提出了一个对应2025年亚洲杯T20板球锦标赛的结构化综合数据集，旨在促进体育分析领域的数据驱动研究。该数据集涵盖锦标赛全部19场比赛的记录，包含61个变量，涉及团队得分、三柱门、强力局统计数据、边界球计数、掷硬币决策、比赛场地以及球员专项亮点。为展示其分析价值，我们开展了探索性数据分析，重点关注团队绩效指标、边界球分布及得分模式。数据集已通过Zenodo在CC-BY 4.0许可下公开发布，以支持板球分析、预测建模和战略决策领域的可重复性研究与深入探索。本工作通过提供开放、机器可读的基准数据集，为推进板球分析研究作出贡献。