Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes
This study examines the impact of momentum dynamics on tennis match outcomes, addressing the limitations of traditional performance prediction methods. Using data from the 2023 Wimbledon men’s singles matches, a data-driven framework was developed to analyze factors influencing player performance. F...
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| Main Authors: | Yuean Xia, Changfeng Li, Tanran Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/4/2018 |
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