Contextual Batting Intelligence in T20 Cricket - A Reproducible Utility Framework

This research proposes the Contextual Batting Intelligence (CBI) framework, a state-dependent utility model evaluating T20 cricket batting performance using Markov Decision Processes and Boltzmann rationality. Applied to over 200,000 delivery records across ICC World Cups, CBI offers a reproducible, context-aware alternative to traditional aggregate statistics.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.22877976
Primary Topic
Sports Analytics and Performance
Type
preprint
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preprint

Contextual Batting Intelligence in T20 Cricket - A Reproducible Utility Framework

Muhammad Sohaib Iqbal
Zenodo (CERN European Organization for Nuclear Research)
Sports Analytics and Performance
preprint

Contextual Batting Intelligence in T20 Cricket - A Reproducible Utility Framework

Muhammad Sohaib Iqbal
preprint en

Abstract

This research proposes the Contextual Batting Intelligence (CBI) framework, a state-dependent utility model evaluating T20 cricket batting performance using Markov Decision Processes and Boltzmann rationality. Applied to over 200,000 delivery records across ICC World Cups, CBI offers a reproducible, context-aware alternative to traditional aggregate statistics.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
Sports Analytics and Performance
DOIOpen Access PDFOpenAlex
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Contextual Batting Intelligence in T20 Cricket - A Reproducible Utility Framework — Muhammad Sohaib Iqbal · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS