“…Analysis of fine-grained sports data plays a pivotal role in data-driven decision-making in all aspects of sports management (Fried & Mumcu, 2016). Many machine learning models have been proposed for game modeling and match outcome prediction for soccer (Bai, Gedik, & Egilmez, 2022;Davis, Bransen, Decroos, Robberechts, & Haaren, 2019;, basketball (Deshpande & Jensen, 2016), and hockey (Liu & Schulte, 2018;Lord, Pyne, Welvaert, & Mara, 2022). However, data-driven decision-making has not received much attention in cricket, which has the second-highest viewership (Sankaranarayanan, Sattar, & Lakshmanan, 2014) after soccer and is a multi-billion dollar industry.…”