South Bay year-end NTRP ratings 2026
The Desk forecasts 170 South Bay players to move up a level and 27 to move down at the 2026 year-end. USTA usually publishes the year-end ratings in early December.
| Player | Rating | Forecast |
|---|---|---|
| Melody Wang | 2.5 | Up to 3.0, 99% |
| Haiting Diao | 2.5 | Up to 3.0, 99% |
| Yunwen Wang | 2.5 | Up to 3.0, 99% |
| Frances Wu | 2.5 | Up to 3.0, 99% |
| Camila Feng | 2.5 | Up to 3.0, 99% |
| Wenqiao Zhang | 2.5 | Up to 3.0, 99% |
| Shanshan Xie | 2.5 | Up to 3.0, 99% |
| Ellie Yu | 2.5 | Up to 3.0, 99% |
| Mina Kim | 2.5 | Up to 3.0, 99% |
| Carol Muhn | 2.5 | Up to 3.0, 99% |
| Yuchen Zhang | 2.5 | Up to 3.0, 98% |
| Manqin Zhong | 2.5 | Up to 3.0, 98% |
| Zinan Hu | 2.5 | Up to 3.0, 98% |
| Maggie Zhou | 2.5 | Up to 3.0, 96% |
| Hien Nguyen | 2.5 | Up to 3.0, 96% |
| Huanxin Ding | 2.5 | Up to 3.0, 96% |
| Xia Yang | 2.5 | Up to 3.0, 95% |
| Dimitra Papachristou | 2.5 | Up to 3.0, 94% |
| Shree Bharathan | 2.5 | Up to 3.0, 94% |
| Bassam Dimes | 2.5 | Up to 3.0, 92% |
| Yongxi Pan | 2.5 | Up to 3.0, 92% |
| Millie Feng | 2.5 | Up to 3.0, 91% |
| Amita Mukerji | 2.5 | Up to 3.0, 91% |
| Yunzhe Huang | 2.5 | Up to 3.0, 89% |
| Jia He | 2.5 | Up to 3.0, 87% |
| Cassie Wang | 2.5 | Up to 3.0, 86% |
| Anqi Lin | 2.5 | Up to 3.0, 86% |
| Laura Ip | 2.5 | Up to 3.0, 85% |
| Chengcheng Xu | 2.5 | Up to 3.0, 84% |
| Lena Loveridge | 2.5 | Up to 3.0, 83% |
| Mohit Sharma | 2.5 | Up to 3.0, 82% |
| Tianshu Begley | 2.5 | Up to 3.0, 81% |
| Yue Wu | 2.5 | Up to 3.0, 78% |
| Songyi Han | 2.5 | Up to 3.0, 77% |
| Heather Kim | 2.5 | Up to 3.0, 77% |
| Xia Li | 2.5 | Up to 3.0, 72% |
| Yaeyoung Han | 2.5 | Up to 3.0, 71% |
| Alyssa Tannert | 2.5 | Up to 3.0, 71% |
| Shiyun Wang | 2.5 | Up to 3.0, 70% |
| Maggie Jeu | 2.5 | Up to 3.0, 63% |
| Hyunyoung Um | 2.5 | Up to 3.0, 61% |
| Hanshan Ye | 3.0 | Up to 3.5, 99% |
| Eva Wu | 3.0 | Up to 3.5, 99% |
| Jiamin Chen | 3.0 | Up to 3.5, 99% |
| Dongjie Fan | 3.0 | Up to 3.5, 99% |
| Siva Hari | 3.0 | Up to 3.5, 99% |
| Nanxi Li | 3.0 | Up to 3.5, 99% |
| Julie Yang | 3.0 | Up to 3.5, 99% |
| Jessika Wu | 3.0 | Up to 3.5, 99% |
| Dean Biskup | 3.0 | Up to 3.5, 99% |
| Gwendolyn Chee | 3.0 | Up to 3.5, 99% |
| Christine Start | 3.0 | Up to 3.5, 99% |
| Yuling Liu | 3.0 | Up to 3.5, 99% |
| Karen Schutten | 3.0 | Up to 3.5, 99% |
| Jung Yoon | 3.0 | Up to 3.5, 99% |
| Oscar Ham | 3.0 | Up to 3.5, 99% |
| Xuan Wei | 3.0 | Up to 3.5, 98% |
| Zhouyang Li | 3.0 | Up to 3.5, 98% |
| Chen Wang | 3.0 | Up to 3.5, 98% |
| Sehwa An | 3.0 | Up to 3.5, 97% |
| Pavan Batchu | 3.0 | Up to 3.5, 97% |
| Xingxin Zhou | 3.0 | Up to 3.5, 96% |
| Alan Ren | 3.0 | Up to 3.5, 96% |
| Christine Scarpace | 3.0 | Up to 3.5, 95% |
| Yixia Mao | 3.0 | Up to 3.5, 95% |
| Keryun Dukellis | 3.0 | Up to 3.5, 95% |
| Adrian Zhong | 3.0 | Up to 3.5, 94% |
| Melissa Chen | 3.0 | Up to 3.5, 93% |
| Jingwei Xu | 3.0 | Up to 3.5, 92% |
| Karen Davison | 3.0 | Up to 3.5, 92% |
| Cici Cao | 3.0 | Up to 3.5, 92% |
| Zihao Zhou | 3.0 | Up to 3.5, 91% |
| Weixuan Sun | 3.0 | Up to 3.5, 91% |
| Wudi Zhou | 3.0 | Up to 3.5, 91% |
| Roger Liu | 3.0 | Up to 3.5, 91% |
| Chang Lee | 3.0 | Up to 3.5, 90% |
| Xiaodan Kang | 3.0 | Up to 3.5, 90% |
| Victoria Vanina | 3.0 | Up to 3.5, 89% |
| Mei Zhou | 3.0 | Up to 3.5, 89% |
| John Forster | 3.0 | Up to 3.5, 88% |
| Shanshan Chen | 3.0 | Up to 3.5, 88% |
| Chengyu Chen | 3.0 | Up to 3.5, 87% |
| Kenneth Zeng | 3.0 | Up to 3.5, 87% |
| Hsing-Hsien Wang | 3.0 | Up to 3.5, 87% |
| Ken Zhang | 3.0 | Up to 3.5, 86% |
| Mijung Park | 3.0 | Up to 3.5, 86% |
| Monika Miles | 3.0 | Up to 3.5, 85% |
| Akshay Vaidya | 3.0 | Up to 3.5, 85% |
| Sebastian Su | 3.0 | Up to 3.5, 84% |
| Liyan DENG | 3.0 | Up to 3.5, 84% |
| Youjin Kim | 3.0 | Up to 3.5, 84% |
| Mona Lee | 3.0 | Up to 3.5, 84% |
| Raj Janakarajan | 3.0 | Up to 3.5, 83% |
| Luciana Berthold | 3.0 | Up to 3.5, 83% |
| Lauren Kutting | 3.0 | Up to 3.5, 83% |
| Jack Hirschman | 3.0 | Up to 3.5, 81% |
| Seokwon Lee | 3.0 | Up to 3.5, 81% |
| Udayakumar Thimma Janarthanan | 3.0 | Up to 3.5, 81% |
| Shan Sun | 3.0 | Up to 3.5, 80% |
| Xinyi Liu | 3.0 | Up to 3.5, 80% |
| Amy Si Dou | 3.0 | Up to 3.5, 79% |
| Chuanxi Zhang | 3.0 | Up to 3.5, 79% |
| Allison Gomez | 3.0 | Up to 3.5, 79% |
| Karen Chen | 3.0 | Up to 3.5, 79% |
| Xiaoxiang Wang | 3.0 | Up to 3.5, 79% |
| You Li | 3.0 | Up to 3.5, 78% |
| Mathangi Venkatesan | 3.0 | Up to 3.5, 76% |
| Justin Samuel Raj Kanagaraj | 3.0 | Up to 3.5, 75% |
| Ashley Unyoung Kim | 3.0 | Up to 3.5, 74% |
| Nams Shugar | 3.0 | Up to 3.5, 73% |
| Yan Li | 3.0 | Up to 3.5, 73% |
| Tianyi Wang | 3.0 | Up to 3.5, 72% |
| Chi Buckley | 3.0 | Up to 3.5, 72% |
| Laura St Laurent | 3.0 | Up to 3.5, 71% |
| Mengjiao Zhang | 3.0 | Up to 3.5, 71% |
| Lolivic Shaw | 3.0 | Up to 3.5, 70% |
| Kwok Yin Chan | 3.0 | Up to 3.5, 69% |
| Zhen Liu | 3.0 | Up to 3.5, 69% |
| Anni Wang | 3.0 | Up to 3.5, 67% |
| Julie Johnson | 3.0 | Up to 3.5, 67% |
| Haoting Chen | 3.0 | Up to 3.5, 66% |
| Karen Hoang | 3.0 | Up to 3.5, 66% |
| Lucas Luo | 3.0 | Up to 3.5, 64% |
| Shawna Ballard | 3.0 | Up to 3.5, 64% |
| Yang Yang | 3.0 | Up to 3.5, 60% |
| Claire Gea | 3.5 | Up to 4.0, 99% |
| Elizabeth Xu | 3.5 | Up to 4.0, 99% |
| Keri Smith | 3.5 | Up to 4.0, 99% |
| Yuki Taguchi | 3.5 | Up to 4.0, 99% |
| Gary Chen | 3.5 | Up to 4.0, 99% |
| Yue Xu | 3.5 | Up to 4.0, 98% |
| Qi Zhou | 3.5 | Up to 4.0, 96% |
| Bowen She | 3.5 | Up to 4.0, 94% |
| Runa Koizumi | 3.5 | Up to 4.0, 92% |
| Puhe Liang | 3.5 | Up to 4.0, 91% |
| Bob Zhang | 3.5 | Up to 4.0, 91% |
| Brian Deng | 3.5 | Up to 4.0, 88% |
| Matthew Wagoner | 3.5 | Up to 4.0, 83% |
| Vincent Yang | 3.5 | Up to 4.0, 81% |
| Xingfan Jia | 3.5 | Up to 4.0, 80% |
| Abhishek Arora | 3.5 | Up to 4.0, 80% |
| Bill Wei | 3.5 | Up to 4.0, 79% |
| Baozhang Ren | 3.5 | Up to 4.0, 78% |
| Ruedi Graf | 3.5 | Up to 4.0, 77% |
| Sergey Baranov | 3.5 | Up to 4.0, 77% |
| Zixiao Cheng | 3.5 | Up to 4.0, 74% |
| Huimin Mckinlay | 3.5 | Up to 4.0, 73% |
| Teresa Moye | 3.5 | Up to 4.0, 72% |
| Zhuoqi Li | 3.5 | Up to 4.0, 72% |
| Avinash Viswanathan | 3.5 | Up to 4.0, 71% |
| Gary Cunningham | 3.5 | Up to 4.0, 71% |
| Balaji Natarajan | 3.5 | Up to 4.0, 66% |
| Yemia Hashimoto | 3.5 | Up to 4.0, 66% |
| Jingwen Yu | 3.5 | Up to 4.0, 65% |
| Gen Yamamoto | 3.5 | Up to 4.0, 65% |
| Lixin Yao | 3.5 | Up to 4.0, 64% |
| Vy Nguyen | 3.5 | Up to 4.0, 63% |
| Jessie Dai | 3.5 | Up to 4.0, 63% |
| Chad Tenturier | 3.5 | Up to 4.0, 62% |
| He Lu | 3.5 | Up to 4.0, 61% |
| Lufei Wang | 3.5 | Up to 4.0, 61% |
| Abhijit Deshmukh | 3.5 | Down to 3.0, 92% |
| Cong Lu | 3.5 | Down to 3.0, 90% |
| Elizabeth Shen | 3.5 | Down to 3.0, 89% |
| Catherine Pham | 3.5 | Down to 3.0, 86% |
| Arun Karamcheti | 3.5 | Down to 3.0, 82% |
| Catherine Nadeau | 3.5 | Down to 3.0, 82% |
| Rahul Sanjay Avvaru | 3.5 | Down to 3.0, 77% |
| Yukari Saito | 4.0 | Up to 4.5, 96% |
| Hanxing Kuang | 4.0 | Up to 4.5, 95% |
| Kakhaber Katselashvili | 4.0 | Up to 4.5, 87% |
| Jeffrey Huang | 4.0 | Up to 4.5, 83% |
| Daniel Lloyd Pias | 4.0 | Up to 4.5, 82% |
| Cristy Ackerman | 4.0 | Up to 4.5, 73% |
| David Lao | 4.0 | Up to 4.5, 68% |
| Takayuki Hirano | 4.0 | Down to 3.5, 98% |
| Edmond Schmulbach | 4.0 | Down to 3.5, 98% |
| Pritpal Singh | 4.0 | Down to 3.5, 98% |
| Hieu Dao | 4.0 | Down to 3.5, 90% |
| Christian Fu | 4.0 | Down to 3.5, 90% |
| Yaqiong Wang | 4.0 | Down to 3.5, 88% |
| Alexander Duong | 4.0 | Down to 3.5, 86% |
| Linda Suk | 4.0 | Down to 3.5, 84% |
| Jingping Wang | 4.0 | Down to 3.5, 79% |
| Cathy Norton | 4.0 | Down to 3.5, 77% |
| Alexander Loh | 4.5 | Up to 5.0, 98% |
| Kenny Gea | 4.5 | Up to 5.0, 76% |
| Jason Lee | 4.5 | Down to 4.0, 99% |
| Harshith Arunkumar | 4.5 | Down to 4.0, 99% |
| Mika Tsuchiiwa | 4.5 | Down to 4.0, 97% |
| Don Scettrini | 4.5 | Down to 4.0, 88% |
| Mary Ow | 4.5 | Down to 4.0, 83% |
| Tarun Rajavelu | 4.5 | Down to 4.0, 75% |
| David Brown | 5.0 | Down to 4.5, 97% |
| Kristen Juhan | 5.0 | Down to 4.5, 86% |
| David Frederick | 5.0 | Down to 4.5, 77% |
| Julia Ling | 5.0 | Down to 4.5, 76% |
The forecast was locked on November 8, 2026 and corrected the same day for players whose rating USTA changed during the season. How the forecast works