Motivation to Run in One-Day Cricket

This paper presents a novel approach to identify an optimal coefficient for evaluating a player’s batting average, strike rate, and bowling average, aimed at achieving an optimal team score through dynamic modeling using a path integral method. Additionally, it introduces a new model for run dynamics, represented as a stochastic differential equation, which factors in the average weather conditions at the cricket ground, the specific weather conditions on the match day (including abrupt changes that may halt the game), total attendance, and home field advantage. An analysis of real data is been performed to validate the theoretical results.

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Publication Details

Journal
Mathematics
Published
2024-09-02
DOI
https://doi.org/10.3390/math12172739
Citations
9
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
6.78
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article

Motivation to Run in One-Day Cricket

Paramahansa Pramanik, Alan M. Polansky
9 citations
Mathematics
Sports Analytics and Performance
6.78
article

Motivation to Run in One-Day Cricket

Paramahansa Pramanik, Alan M. Polansky
article en
9 citations

Abstract

This paper presents a novel approach to identify an optimal coefficient for evaluating a player’s batting average, strike rate, and bowling average, aimed at achieving an optimal team score through dynamic modeling using a path integral method. Additionally, it introduces a new model for run dynamics, represented as a stochastic differential equation, which factors in the average weather conditions at the cricket ground, the specific weather conditions on the match day (including abrupt changes that may halt the game), total attendance, and home field advantage. An analysis of real data is been performed to validate the theoretical results.

MathematicsVol. 12(17)
Northern Illinois University (US), University of South Alabama (US)
Openalex Percentile: Top 4%
Sports Analytics and Performance
6.78
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