公开2025年亚洲杯板球赛全量数据，助力赛事分析研究
Asia Cup 2025: A Structured T20 Match-Level Dataset and Exploratory Analysis for Cricket Analytics
- 构建19场次、61维结构化数据集，覆盖得分、击球、投球等多维度
- 揭示球队表现、边界分布与得分模式，支持战术优化分析
- 开源可复现，适合体育数据分析与预测建模研究者使用
本文发布2025年亚洲杯T20板球赛的结构化数据集，涵盖全部19场比赛，包含61个变量，覆盖团队得分、出局数、强攻阶段统计、边界数、开球决策、比赛场地及球员关键表现。为验证其分析价值，开展探索性数据分析，聚焦球队表现指标、边界分布与得分模式。数据集通过Zenodo以CC-BY 4.0许可公开，支持可复现研究，促进板球数据分析、预测建模与战略决策研究。本工作提供一个开放、机器可读的基准数据集，推动板球分析领域发展。
原文摘要 · Abstract (English)
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.
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