Investigating Performance Dynamics of Pakistan’s T20 Middle-Order Batsmen Using Survival Analysis
DOI:
https://doi.org/10.56220/uwjst.v9i.246Keywords:
Game of Cricket, T20 International, Middle-Order batting, Kaplan Meier (KM) Curves, Cox-Proportional Hazard Regression Model, Log Rank TestAbstract
This study examines the performance of Pakistan’s middle-order batsmen in T20 Internationals. The middle-order remains a critical concern for Team Pakistan, as wickets are falling at an accelerated rate. Data were sourced from ESPNcricinfo, covering T20 matches from to , including players across innings. Survival analysis techniques were applied, including the Kaplan-Meier (KM) method, Cox proportional hazards model, and the Log-Rank Test. The KM analysis reveals that Asif Ali and Iftikhar Ahmad excel in terms of strike rate, while Fakhar Zaman, Shoaib Malik, and Shadab Khan stand out for total runs. Players demonstrating greater resilience at the crease include Haidar Ali, Fakhar Zaman, Imad Wasim, and Shoaib Malik. In the Cox-Proportional Hazard Model (Cox-PH), all statistical tests yield significant Likelihood Ratio Test (LRT), Wald Test, and Log-Rank Test highlighting the model’s robustness. Iftikhar Ahmad and Shan Masood spent the most time at the crease, while Fakhar Zaman, Iftikhar Ahmad, Shoaib Malik, and Shadab Khan faced the most deliveries. The Log-Rank Test reveals a significant difference in performance based on average runs , but not on strike rate . These insights can support data-driven player selection and middle-order strategy for Pakistan’s T20 team.
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