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.
Cite this article:
Dr. Manish Kumar Pandey, Seira Shinde, Dr. Raginee Pandey (2025), Analyzing Match Dynamics in ICC ODIs Using Queuing Theory. Spectrum of Emerging Sciences, 5 (3) 71-78, 10.558/SES2025-5-16
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