Analyzing Match Dynamics in ICC ODIs Using Queuing Theory

This paper introduces a queuing theory model to analyze One Day Internationals (ODIs) in cricket. In this model, the opening pair of batsmen is treated as a customer being served by a single server, which is the cricket pitch. The next batsman, waiting to bat, represents a customer in the queue. The server’s utilization factor is assessed by observing the duration and performance of a batting pair at the crease. By applying queuing theory concepts, the model helps determine the probabilities of various match outcomes, such as a tied game, no result (NR), or a match with a clear result. This approach provides a statistical framework to understand the impact of batting partnerships on match outcomes, offering new insights into ODI strategy and performance analysis.

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Publication Details

Journal
Spectrum of Emerging Sciences
Published
2025-11-07
DOI
https://doi.org/10.55878/ses2025-5-3-16
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
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article

Analyzing Match Dynamics in ICC ODIs Using Queuing Theory

Manish Pandey, Seira Shinde, Dr. Raginee Pandey
Spectrum of Emerging Sciences
Sports Analytics and Performance
article

Analyzing Match Dynamics in ICC ODIs Using Queuing Theory

Manish Pandey, Seira Shinde, Dr. Raginee Pandey
article en

Abstract

This paper introduces a queuing theory model to analyze One Day Internationals (ODIs) in cricket. In this model, the opening pair of batsmen is treated as a customer being served by a single server, which is the cricket pitch. The next batsman, waiting to bat, represents a customer in the queue. The server’s utilization factor is assessed by observing the duration and performance of a batting pair at the crease. By applying queuing theory concepts, the model helps determine the probabilities of various match outcomes, such as a tied game, no result (NR), or a match with a clear result. This approach provides a statistical framework to understand the impact of batting partnerships on match outcomes, offering new insights into ODI strategy and performance analysis.

Spectrum of Emerging SciencesVol. 5(3)
Partnerships for the goals
Openalex Percentile: Top 21%
Sports Analytics and Performance
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