PlayerRank: leveraging learning-to-rank AI for player positioning in cricket
Player prioritization is crucial in sports analysis, yet prioritizing based on playing position is underexplored. This paper focuses on using learning-to-rank machine learning models to select the best players for slots within a cricket team's batting order in Twenty20 International (T20I) matc...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2024
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| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/9811/58/PlayerRank_Leveraging_Learning-to-Rank_AI_for_Player_Positioning_in_Cricket.pdf https://repository.londonmet.ac.uk/9811/64/PlayerRank_Leveraging_Learning-to-Rank_AI_for_Player_Positioning_in_Cricket%20%281%29.pdf |