- Sport
- Table Tennis
- Career
- 2006–active
- Country
- 🇨🇳 China
- Peak
- 99.0
- Dominance
- 99.0
- Statistics
- 97.0
- Honours
- 99.0
- Longevity
- 92.0
GOAT Rank · 177
This ranking is led by Ma Long, Jan-Ove Waldner and Viktor Barna. GOAT Rank currently ranks 177 eligible Table Tennis players using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Ma Long ranks #1 on this list with a GOAT Score of 97.3.
How the GOAT Score is calculated →| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 1 | Ma Long | Table Tennis | 🇨🇳 China | 2006–active | 97.3 |
| 2 | Jan-Ove Waldner | Table Tennis | 🇸🇪 Sweden | 1980–2016 | 94.1 |
| 3 | Viktor Barna | Table Tennis | 🇭🇺 Hungary | 1929–1954 | 93.6 |
| 4 | Deng Yaping | Table Tennis | 🇨🇳 China | 1988–1997 | 91.4 |
| 5 | Ding Ning | Table Tennis | 🇨🇳 China | 2005–2021 | 89.7 |
| 6 | Fan Zhendong | Table Tennis | 🇨🇳 China | 2012–active | 88.5 |
| 7 | Wang Tao | Table Tennis | 🇨🇳 China | 1989–1999 | 87.4 |
| 8 | Guo Yan | Table Tennis | 🇨🇳 China | 2001–2012 | 87.4 |
| 9 | Chen Jing | Table Tennis | 🇹🇼 Chinese Taipei | 1986–2001 | 87.0 |
| 10 | Guo Yuehua | Table Tennis | 🇨🇳 China | 1977–1985 | 86.5 |
| 11 | Ma Lin | Table Tennis | 🇨🇳 China | 1998–2013 | 86.4 |
| 12 | Cai Zhenhua | Table Tennis | 🇨🇳 China | 1979–1989 | 86.3 |
| 13 | Ni Xialian | Table Tennis | 🇱🇺 Luxembourg | 1983–active | 86.2 |
| 14 | Feng Tianwei | Table Tennis | 🇸🇬 Singapore | 2005–active | 85.6 |
| 15 | Kalinikos Kreanga | Table Tennis | 🇬🇷 Greece | 1990–2016 | 85.6 |
| 16 | Otilia Bădescu | Table Tennis | 🇷🇴 Romania | 1986–2008 | 85.3 |
| 17 | Qiao Hong | Table Tennis | 🇨🇳 China | 1986–1997 | 85.2 |
| 18 | Li Jie | Table Tennis | 🇳🇱 Netherlands | 2000–2021 | 85.2 |
| 19 | Chen Qi | Table Tennis | 🇨🇳 China | 1999–2013 | 85.1 |
| 20 | Jean-Michel Saive | Table Tennis | 🇧🇪 Belgium | 1986–2014 | 85.0 |
| 21 | Zoran Primorac | Table Tennis | 🇭🇷 Croatia | 1985–2012 | 85.0 |
| 22 | Jun Mizutani | Table Tennis | 🇯🇵 Japan | 2003–2021 | 84.9 |
| 23 | Daniela Dodean Monteiro | Table Tennis | 🇷🇴 Romania | 2003–active | 84.9 |
| 24 | Kristian Karlsson | Table Tennis | 🇸🇪 Sweden | 2008–active | 84.8 |
| 25 | Yu Mengyu | Table Tennis | 🇸🇬 Singapore | 2008–2021 | 84.8 |
| 26 | Ryu Seung-min | Table Tennis | 🇰🇷 South Korea | 1999–2014 | 84.7 |
| 27 | Werner Schlager | Table Tennis | 🇦🇹 Austria | 1990–2015 | 84.6 |
| 28 | Joo Se-hyuk | Table Tennis | 🇰🇷 South Korea | 1998–2020 | 84.6 |
| 29 | Elmira Antonyan | Table Tennis | 🇦🇲 Armenia | 1968–1979 | 84.6 |
| 30 | Jiang Jialiang | Table Tennis | 🇨🇳 China | 1982–1990 | 84.5 |
| 31 | Tamara Boroš | Table Tennis | 🇭🇷 Croatia | 1993–2012 | 84.5 |
| 32 | István Jónyer | Table Tennis | 🇭🇺 Hungary | 1969–1983 | 84.4 |
| 33 | Chen Longcan | Table Tennis | 🇨🇳 China | 1984–1991 | 84.3 |
| 34 | Yang Young-ja | Table Tennis | 🇰🇷 South Korea | 1983–1990 | 84.3 |
| 35 | Zhuang Zedong | Table Tennis | 🇨🇳 China | 1959–1972 | 84.2 |
| 36 | Cha Hyo-sim | Table Tennis | 🇰🇵 North Korea | 2014–active | 84.2 |
| 37 | Cao Yanhua | Table Tennis | 🇨🇳 China | 1980–1987 | 84.1 |
| 38 | István Boros | Table Tennis | 🇭🇺 Hungary | 1975–1988 | 84.1 |
| 39 | Yoo Nam-kyu | Table Tennis | 🇰🇷 South Korea | 1985–1996 | 84.0 |
| 40 | Jean-Philippe Gatien | Table Tennis | 🇫🇷 France | 1985–2000 | 83.9 |
| 41 | Ma Wenge | Table Tennis | 🇨🇳 China | 1988–1997 | 83.8 |
| 42 | Percival Bromfield | Table Tennis | 🇬🇧 United Kingdom | 1926–1935 | 83.8 |
| 43 | Li Jiao | Table Tennis | 🇳🇱 Netherlands | 1996–2020 | 83.7 |
| 44 | Anatoly Amelin | Table Tennis | 🇷🇺 Russia | 1962–1974 | 83.7 |
| 45 | Kim Kyung-ah | Table Tennis | 🇰🇷 South Korea | 1995–2012 | 83.6 |
| 46 | Pinkie Barnes | Table Tennis | 🇬🇧 United Kingdom | 1933–1951 | 83.6 |
| 47 | Gustavo Tsuboi | Table Tennis | 🇧🇷 Brazil | 2003–active | 83.6 |
| 48 | Lily Zhang | Table Tennis | 🇺🇸 United States | 2010–active | 83.6 |
| 49 | Žarko Dolinar | Table Tennis | 🇭🇷 Croatia | 1946–1957 | 83.4 |
| 50 | Viktoria Pavlovich | Table Tennis | 🇧🇾 Belarus | 1996–2016 | 83.3 |
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.
According to GOAT Rank's current data model, only verified athletes with sufficient career history, metrics, honours and independent sources are eligible. Rank and score are read live.