- Sport
- Table Tennis
- Career
- 1980–1987
- Country
- 🇨🇳 China
- Peak
- 92.0
- Dominance
- 86.0
- Statistics
- 84.0
- Honours
- 88.0
- Longevity
- 70.0
GOAT Rank · 934
This ranking uses verified career records and GOAT Rank's published model. Every listed athlete clears the data eligibility threshold.
| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 3407 | Cao Yanhua | Table Tennis | 🇨🇳 China | 1980–1987 | 73.7 |
| 3421 | Foluke Akinradewo | Volleyball | 🇺🇸 United States | 2005–2021 | 72.2 |
| 3432 | Li Jiao | Table Tennis | 🇳🇱 Netherlands | 1996–2020 | 76.9 |
| 3434 | Kim Kyung-ah | Table Tennis | 🇰🇷 South Korea | 1995–2012 | 76.5 |
| 3439 | Pinkie Barnes | Table Tennis | 🇬🇧 United Kingdom | 1933–1951 | 76.0 |
| 3441 | Lily Zhang | Table Tennis | 🇺🇸 United States | 2010–— | 76.2 |
| 3442 | Nelly Korda | Golf | 🇺🇸 United States | 2016–— | 70.7 |
| 3450 | Ariya Jutanugarn | Golf | 🇹🇭 Thailand | 2013–— | 71.4 |
| 3451 | Sung Hyun Park | Golf | 🇰🇷 South Korea | 2012–— | 70.8 |
| 3456 | Viktoria Pavlovich | Table Tennis | 🇧🇾 Belarus | 1996–2016 | 76.2 |
| 3457 | Irina Belova | Athletics | 🇷🇺 Russia | 1989–2000 | 74.5 |
| 3458 | Bai Yang | Table Tennis | 🇨🇳 China | 1998–2008 | 74.6 |
| 3467 | Yang Fangxu | Volleyball | 🇨🇳 China | 2003–2016 | 72.5 |
| 3471 | Ai Fukuhara | Table Tennis | 🇯🇵 Japan | 1998–2018 | 76.3 |
| 3482 | Tong Ling | Table Tennis | 🇨🇳 China | 1987–1993 | 73.0 |
| 3483 | Wu Jiaduo | Table Tennis | 🇩🇪 Germany | 2000–2016 | 75.2 |
| 3484 | Nicole Struse | Table Tennis | 🇩🇪 Germany | 1989–2006 | 75.6 |
| 3486 | Cheng Hongxia | Table Tennis | 🇨🇳 China | 1996–2006 | 74.0 |
| 3489 | Fujie Eguchi | Table Tennis | 🇯🇵 Japan | 1954–1959 | 71.3 |
| 3491 | Katarina Johnson-Thompson | Athletics | 🇬🇧 United Kingdom | 2011–— | 74.7 |
| 3492 | He Zhili | Table Tennis | 🇨🇳 China | 1983–1994 | 73.3 |
| 3494 | Matilda Ekholm | Table Tennis | 🇸🇪 Sweden | 2001–2021 | 75.9 |
| 3496 | Zoya Yusova | Volleyball | 🇷🇺 Soviet Union | 1970–1982 | 71.8 |
| 3515 | Kasumi Ishikawa | Table Tennis | 🇯🇵 Japan | 2008–2023 | 75.9 |
| 3516 | Ni Xia Lian | Table Tennis | 🇱🇺 Luxembourg | 1983–— | 77.5 |
| 3518 | Wu Yang | Table Tennis | 🇨🇳 China | 2011–2019 | 73.4 |
| 3527 | Denise Lewis | Athletics | 🇬🇧 United Kingdom | 1992–2005 | 74.1 |
| 3540 | Sheilla Castro | Volleyball | 🇧🇷 Brazil | 2001–2017 | 71.4 |
| 3561 | Csilla Bátorfi | Table Tennis | 🇭🇺 Hungary | 1984–2008 | 75.4 |
| 3567 | Li Ju | Table Tennis | 🇨🇳 China | 1995–2004 | 72.5 |
| 3571 | Sarah De Nutte | Table Tennis | 🇱🇺 Luxembourg | 2008–— | 75.0 |
| 3573 | Suthasini Sawettabut | Table Tennis | 🇹🇭 Thailand | 2010–— | 74.7 |
| 3584 | Ericléia Bodziak | Volleyball | 🇧🇷 Brazil | 1992–2006 | 70.9 |
| 3594 | Yang Ying | Table Tennis | 🇨🇳 China | 1994–2005 | 72.8 |
| 3596 | Miu Hirano | Table Tennis | 🇯🇵 Japan | 2013–— | 72.8 |
| 3610 | Michelle Wie | Golf | 🇺🇸 United States | 2005–2023 | 70.5 |
| 3615 | Helen Elliot | Table Tennis | 🇬🇧 United Kingdom | 1946–1957 | 73.0 |
| 3628 | Kosovare Asllani | Football | 🇸🇪 Sweden | 2007–— | 63.9 |
| 3638 | Wang Nan | Table Tennis | 🇨🇳 China | 1995–2008 | 72.5 |
| 3643 | Judit Magos | Table Tennis | 🇭🇺 Hungary | 1968–1985 | 73.5 |
| 3644 | Carmen Crișan | Table Tennis | 🇷🇴 Romania | 1978–1990 | 73.2 |
| 3645 | Zhu Yuling | Table Tennis | 🇨🇳 China | 2010–— | 71.5 |
| 3656 | Chen Zhibin | Table Tennis | 🇨🇳 China | 1983–1992 | 71.1 |
| 3659 | Zhang Yining | Table Tennis | 🇨🇳 China | 1997–2009 | 71.4 |
| 3661 | Krystyna Czajkowska | Volleyball | 🇵🇱 Poland | 1959–1970 | 69.4 |
| 3662 | Halina Aszkiełowicz-Wojno | Volleyball | 🇵🇱 Poland | 1962–1972 | 69.4 |
| 3666 | Dang Ye-seo | Table Tennis | 🇰🇷 South Korea | 2002–2016 | 73.0 |
| 3669 | Claude Bergeret | Table Tennis | 🇫🇷 France | 1971–1985 | 72.7 |
| 3671 | Hina Hayata | Table Tennis | 🇯🇵 Japan | 2016–— | 71.3 |
| 3672 | Han Ying | Table Tennis | 🇩🇪 Germany | 2005–— | 73.7 |
Sport lists use the raw In-Sport GOAT Score. Cross-sport lists use the official competition-depth adjustment. No scores are recalculated for this page.
Read the full methodologyFive verified components are weighted consistently: dominance, peak, longevity, honours and statistics.
Only verified athletes with sufficient career history, metrics, honours and independent sources are eligible.