A Novel Approach to Reducing Ranking Discrepancies in Tennis Based on Tournament Choices
In tennis, discrepancies between rankings and head-to-head results arise because players select different tournaments for ranking.Existing methods using directed graphs cannot address discrepancies caused by varying tournament choices.This study proposes a ranking aggregation method that considers players' selected tournaments to reduce these inconsistencies.The method aggregates all chosen tournaments to form a collective ranking.Experimental results show a reduction in overall discrepancies, although some players saw an increase.This approach offers a partial solution to ranking inconsistencies caused by differing tournament selections in tennis.
Authors
- Kazuo Yano (ORCID: https://orcid.org/0000-0002-9763-1102)
- Tsutomu Ito (ORCID: https://orcid.org/0000-0001-6033-2793)
- Amane Takei (ORCID: https://orcid.org/0000-0001-9014-8727)
- Minoru Ide
- Takao Ito
- Makoto Sakamoto (ORCID: https://orcid.org/0000-0003-0909-5985)
- Satoshi Ikeda
- Masatoshi Beppu
Institutions
- Hiroshima University (JP)
- University of Miyazaki (JP)
- Nippon Electric Glass (Japan) (JP)
- National Institute of Technology, Ube College (JP)
Publication Details
- Journal
- Proceedings of International Conference on Artificial Life and Robotics
- Published
- 2025-02-13
- DOI
- https://doi.org/10.5954/icarob.2025.os23-6
- Primary Topic
- Sports Analytics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science