Asia Cup 2025: A Structured T20 Match-Level Dataset and Exploratory Analysis for Cricket Analytics
This provides an open benchmark dataset for researchers and analysts in cricket sports analytics, though it is incremental as it focuses on data collection rather than novel methods.
The paper tackles the lack of structured data for cricket analytics by creating a comprehensive dataset from the 2025 Asia Cup T20 tournament, including 19 matches and 61 variables, and demonstrates its value through exploratory analysis of team performance and scoring patterns.
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.