Performance Evaluation and Ranking of T20 International Bowlers Using Multi-Criteria Decision Analysis

Abstract

The rapid evolution of Twenty20 International (T20I) cricket has increased the demand for advanced sports analytics, shifting emphasis from traditional isolated statistics toward comprehensive multi-criteria evaluation frameworks. While batting performance metrics have received substantial attention in contemporary sports literature, robust and context-aware analytical frameworks for evaluating elite international bowling performance remain limited. This study addresses this gap by conducting a comprehensive data-driven performance evaluation of 19 top-ranked T20I bowlers using a dataset comprising N = 2,812 valid delivery-level observations.

Grounded in a Multi-Criteria Decision-Making (MCDM) framework, this study developed a composite Bowler Performance Index (BPI) integrating normalized performance indicators, including wicket-taking ability measured through Wicket Percentage (w₁ = 0.40), pressure generation through Dot Ball Percentage (w₂ = 0.35), and run containment through Economy Rate (w₃ = 0.25). Contextual and structural phase analysis using χ²-based profiling revealed a specialized distribution of bowling responsibilities across different match phases. Spin bowlers primarily dominated the middle overs to restrict scoring opportunities, whereas front-line pace bowlers carried greater workloads during high-pressure Powerplay and Death-over phases. Arshdeep Singh recorded the highest workload with 214 deliveries and 79 dot balls, although his aggressive bowling approach also resulted in the highest extras conceded (22). In contrast, the final BPI rankings identified Gudakesh Motie (0.76) and Lockie Ferguson (0.72) as the most effective bowlers because of their superior balance between economy and wicket-taking efficiency. High-workload strike bowlers such as Arshdeep Singh (0.71) closely followed, suggesting that successful bowling performance in modern T20I cricket depends on achieving an effective balance between run restriction and wicket-taking capability. The findings demonstrate that the proposed framework provides a transparent and empirically robust approach for evaluating bowling performance across varying tactical roles and workloads. The model offers practical implications for coaches, selectors, and sports analysts by supporting player assessment, tactical planning, and evidence-based decision-making in international T20 cricket.