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A Statistical Analysis of Bowling Performance in Cricket

2017/01/16 by Akash Malhotra, Malhotra, Akash, Shailesh Krishna +1
Economics, Econometrics and Finance · Engineering · Medicine · #Applications (stat.AP) #FOS: Computer and information sciences #Sports Analytics and Performance #Sports Dynamics and Biomechanics #Sports Performance and Training

paper · pdf · doi:10.48550/arxiv.1701.04438

openalex publication_date 2017/01/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

There is a widespread notion in cricketing world that with increasing pace the performance of a bowler improves. Additionally, many commentators believe lower order batters to be more vulnerable to pace. The present study puts these two ubiquitous notions under test by statistically analysing the differences in performance of bowlers from three subpopulations based on average release velocities. Results from one-way ANOVA reveal faster bowlers to be performing better, in terms of Average and Strike-rate, but no significant differences in the case of Economy rate and CBR. Lower and Middle order batsmen were found to be more vulnerable against faster bowling. However, there was no statistically significant difference in performance of Fast and Fast-Medium bowlers against a top-order batter.

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