- Sport
- Tennis
- Career
- 2003–active
- Country
- 🇧🇾 Belarus
- Peak
- 86.0
- Dominance
- 74.0
- Statistics
- 78.0
- Honours
- 74.0
- Longevity
- 80.0
GOAT Rank · 248
This ranking is led by Novak Djokovic, Martina Navratilova and Steffi Graf. GOAT Rank currently ranks 248 eligible Tennis players using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Novak Djokovic ranks #1 on this list with a GOAT Score of 97.6.
How the GOAT Score is calculated →| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 201 | Victoria Azarenka | Tennis | 🇧🇾 Belarus | 2003–active | 78.2 |
| 202 | Milos Raonic | Tennis | 🇨🇦 Canada | 2008–active | 78.2 |
| 203 | Danielle Collins | Tennis | 🇺🇸 United States | 2016–active | 78.2 |
| 204 | Colin Gregory | Tennis | 🇬🇧 United Kingdom | 1925–1952 | 78.2 |
| 205 | Ashley Cooper | Tennis | 🇦🇺 Australia | 1953–1959 | 78.1 |
| 206 | Althea Gibson | Tennis | 🇺🇸 United States | 1949–1958 | 78.0 |
| 207 | Chuck McKinley | Tennis | 🇺🇸 United States | 1959–1968 | 78.0 |
| 208 | Albert Costa | Tennis | 🇪🇸 Spain | 1993–2006 | 77.8 |
| 209 | Marion Bartoli | Tennis | 🇫🇷 France | 2000–2013 | 77.8 |
| 210 | Tomáš Berdych | Tennis | 🇨🇿 Czech Republic | 2002–2019 | 77.5 |
| 211 | Patrick Rafter | Tennis | 🇦🇺 Australia | 1991–2002 | 77.4 |
| 212 | Zheng Qinwen | Tennis | 🇨🇳 China | 2019–active | 77.4 |
| 213 | Gastón Gaudio | Tennis | 🇦🇷 Argentina | 1996–2011 | 77.4 |
| 214 | Robin Söderling | Tennis | 🇸🇪 Sweden | 2001–2011 | 77.3 |
| 215 | Stan Wawrinka | Tennis | 🇨🇭 Switzerland | 2002–active | 77.2 |
| 216 | Tracy Austin | Tennis | 🇺🇸 United States | 1977–1994 | 77.2 |
| 217 | Rodney Heath | Tennis | 🇦🇺 Australia | 1905–1919 | 77.2 |
| 218 | Emma Navarro | Tennis | 🇺🇸 United States | 2021–active | 77.0 |
| 219 | Jasmine Paolini | Tennis | 🇮🇹 Italy | 2015–active | 76.9 |
| 220 | Markéta Vondroušová | Tennis | 🇨🇿 Czech Republic | 2016–active | 76.9 |
| 221 | Ashleigh Barty | Tennis | 🇦🇺 Australia | 2010–2022 | 76.7 |
| 222 | Adriano Panatta | Tennis | 🇮🇹 Italy | 1970–1983 | 76.6 |
| 223 | Naomi Osaka | Tennis | 🇯🇵 Japan | 2013–active | 76.5 |
| 224 | Henner Henkel | Tennis | 🇩🇪 Germany | 1933–1939 | 76.5 |
| 225 | Bianca Andreescu | Tennis | 🇨🇦 Canada | 2017–active | 76.3 |
| 226 | Andrés Gimeno | Tennis | 🇪🇸 Spain | 1960–1973 | 76.2 |
| 227 | Gustavo Kuerten | Tennis | 🇧🇷 Brazil | 1995–2008 | 76.1 |
| 228 | Caroline Wozniacki | Tennis | 🇩🇰 Denmark | 2005–active | 76.1 |
| 229 | Elena Rybakina | Tennis | 🇰🇿 Kazakhstan | 2017–active | 76.1 |
| 230 | Geoff Hughes | Tennis | 🇦🇺 Australia | 1922–1932 | 75.9 |
| 231 | Angelique Kerber | Tennis | 🇩🇪 Germany | 2003–2024 | 75.8 |
| 232 | Mark Edmondson | Tennis | 🇦🇺 Australia | 1974–1988 | 75.8 |
| 233 | Amélie Mauresmo | Tennis | 🇫🇷 France | 1993–2009 | 75.7 |
| 234 | Petra Martić | Tennis | 🇭🇷 Croatia | 2006–active | 75.5 |
| 235 | Willoughby Hamilton | Tennis | 🇮🇪 Ireland | 1887–1896 | 75.4 |
| 236 | Sven Davidson | Tennis | 🇸🇪 Sweden | 1949–1962 | 75.4 |
| 237 | Ernie Parker | Tennis | 🇦🇺 Australia | 1908–1916 | 75.3 |
| 238 | Li Na | Tennis | 🇨🇳 China | 1999–2014 | 75.0 |
| 239 | Henry Slocum | Tennis | 🇺🇸 United States | 1886–1892 | 75.0 |
| 240 | Ons Jabeur | Tennis | 🇹🇳 Tunisia | 2010–active | 74.9 |
| 241 | Arthur O'Hara Wood | Tennis | 🇦🇺 Australia | 1912–1918 | 74.9 |
| 242 | Alexander Zverev | Tennis | 🇩🇪 Germany | 2013–active | 74.8 |
| 243 | Sofia Kenin | Tennis | 🇺🇸 United States | 2017–active | 74.5 |
| 244 | Brian Teacher | Tennis | 🇺🇸 United States | 1976–1987 | 73.6 |
| 245 | Spencer Gore | Tennis | 🇬🇧 United Kingdom | 1877–1880 | 73.1 |
| 246 | Kristýna Plíšková | Tennis | 🇨🇿 Czechia | 2010–2023 | 72.9 |
| 247 | Coco Gauff | Tennis | 🇺🇸 United States | 2019–active | 72.5 |
| 248 | Rebecca Marino | Tennis | 🇨🇦 Canada | 2008–active | 70.9 |
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.