An Augmented Rating System for Test cricket: adapting Glicko's model
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866910039029055488 |
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| author | Bandyopadhyay, Rhitankar Mukherjee, Diganta |
| author_facet | Bandyopadhyay, Rhitankar Mukherjee, Diganta |
| contents | ICC's current ranking system does not adequately account for key contextual factors such as home advantage, toss impact and scheduling imbalances; leading to inconsistencies in team evaluation in Test cricket. This study develops an enhanced rating framework by adapting and enhancing Glicko's model to incorporate these influences alongside Margin of Victory, an important indicator of dominance a contest. This enables a more dynamic and probabilistically grounded assessment of team performance. Using past match data, the model demonstrates improved expected score estimation and predictive accuracy. Robustness of the resulting ratings is demonstrated through bootstrap resampling, confirming stability with respect to match scheduling. Overall, the framework provides a fairer and more statistically consistent approach to ranking Test teams. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_02574 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | An Augmented Rating System for Test cricket: adapting Glicko's model Bandyopadhyay, Rhitankar Mukherjee, Diganta Applications Computation ICC's current ranking system does not adequately account for key contextual factors such as home advantage, toss impact and scheduling imbalances; leading to inconsistencies in team evaluation in Test cricket. This study develops an enhanced rating framework by adapting and enhancing Glicko's model to incorporate these influences alongside Margin of Victory, an important indicator of dominance a contest. This enables a more dynamic and probabilistically grounded assessment of team performance. Using past match data, the model demonstrates improved expected score estimation and predictive accuracy. Robustness of the resulting ratings is demonstrated through bootstrap resampling, confirming stability with respect to match scheduling. Overall, the framework provides a fairer and more statistically consistent approach to ranking Test teams. |
| title | An Augmented Rating System for Test cricket: adapting Glicko's model |
| topic | Applications Computation |
| url | https://arxiv.org/abs/2603.02574 |