- Sport
- Tennis
- Career
- 1919–1938
- Country
- 🇺🇸 United States
- Peak
- 94.0
- Dominance
- 94.0
- Statistics
- 92.0
- Honours
- 92.0
- Longevity
- 80.0
GOAT Rank · 25
Greatest Tennis Baseliner of all time
This ranking uses verified career records and GOAT Rank's published model. Every listed athlete clears the data eligibility threshold.
#AthleteGOAT Score
- Sport
- Tennis
- Career
- 1878–1893
- Country
- 🇬🇧 United Kingdom
- Peak
- 90.0
- Dominance
- 80.0
- Statistics
- 86.0
- Honours
- 82.0
- Longevity
- 84.0
- Sport
- Tennis
- Career
- 1907–1929
- Country
- 🇬🇧 United Kingdom
- Peak
- 86.0
- Dominance
- 76.0
- Statistics
- 84.0
- Honours
- 80.0
- Longevity
- 88.0
- Sport
- Tennis
- Career
- 2000–2022
- Country
- 🇷🇺 Russia
- Peak
- 84.0
- Dominance
- 74.0
- Statistics
- 84.0
- Honours
- 80.0
- Longevity
- 92.0
- Sport
- Tennis
- Career
- 1985–2002
- Country
- 🇪🇸 Spain
- Peak
- 82.0
- Dominance
- 78.0
- Statistics
- 82.0
- Honours
- 82.0
- Longevity
- 84.0
- Sport
- Tennis
- Career
- 2000–2015
- Country
- 🇮🇹 Italy
- Peak
- 88.0
- Dominance
- 74.0
- Statistics
- 82.0
- Honours
- 82.0
- Longevity
- 82.0
- Sport
- Tennis
- Career
- 2000–2017
- Country
- 🇷🇸 Serbia
- Peak
- 86.0
- Dominance
- 76.0
- Statistics
- 84.0
- Honours
- 76.0
- Longevity
- 84.0
- Sport
- Tennis
- Career
- 1998–2010
- Country
- 🇷🇺 Russia
- Peak
- 88.0
- Dominance
- 76.0
- Statistics
- 84.0
- Honours
- 80.0
- Longevity
- 78.0
- Sport
- Tennis
- Career
- 1990–2004
- Country
- 🇺🇸 United States
- Peak
- 88.0
- Dominance
- 78.0
- Statistics
- 82.0
- Honours
- 82.0
- Longevity
- 74.0
- Sport
- Tennis
- Career
- 2000–2019
- Country
- 🇪🇸 Spain
- Peak
- 84.0
- Dominance
- 72.0
- Statistics
- 84.0
- Honours
- 76.0
- Longevity
- 90.0
- Sport
- Tennis
- Career
- 2012–2023
- Country
- 🇪🇸 Spain
- Peak
- 90.0
- Dominance
- 78.0
- Statistics
- 82.0
- Honours
- 82.0
- Longevity
- 72.0
- Sport
- Tennis
- Career
- 1890–1896
- Country
- 🇺🇸 United States
- Peak
- 90.0
- Dominance
- 80.0
- Statistics
- 84.0
- Honours
- 82.0
- Longevity
- 68.0
- Sport
- Tennis
- Career
- 2007–active
- Country
- 🇯🇵 Japan
- Peak
- 86.0
- Dominance
- 74.0
- Statistics
- 84.0
- Honours
- 74.0
- Longevity
- 82.0
- Sport
- Tennis
- Career
- 2014–active
- Country
- 🇦🇺 Australia
- Peak
- 88.0
- Dominance
- 72.0
- Statistics
- 84.0
- Honours
- 74.0
- Longevity
- 80.0
- Sport
- Tennis
- Career
- 1999–2007
- Country
- 🇷🇺 Russia
- Peak
- 92.0
- Dominance
- 74.0
- Statistics
- 84.0
- Honours
- 78.0
- Longevity
- 68.0
- Sport
- Tennis
- Career
- 2009–active
- Country
- 🇺🇸 United States
- Peak
- 86.0
- Dominance
- 76.0
- Statistics
- 84.0
- Honours
- 74.0
- Longevity
- 74.0
- Sport
- Tennis
- Career
- 2003–active
- Country
- 🇧🇾 Belarus
- Peak
- 86.0
- Dominance
- 74.0
- Statistics
- 78.0
- Honours
- 74.0
- Longevity
- 80.0
- Sport
- Tennis
- Career
- 2002–2019
- Country
- 🇨🇿 Czech Republic
- Peak
- 82.0
- Dominance
- 70.0
- Statistics
- 80.0
- Honours
- 72.0
- Longevity
- 86.0
- Sport
- Tennis
- Career
- 1977–1994
- Country
- 🇺🇸 United States
- Peak
- 92.0
- Dominance
- 80.0
- Statistics
- 80.0
- Honours
- 78.0
- Longevity
- 56.0
- Sport
- Tennis
- Career
- 2015–active
- Country
- 🇮🇹 Italy
- Peak
- 88.0
- Dominance
- 74.0
- Statistics
- 80.0
- Honours
- 78.0
- Longevity
- 66.0
- Sport
- Tennis
- Career
- 2003–2024
- Country
- 🇩🇪 Germany
- Peak
- 82.0
- Dominance
- 72.0
- Statistics
- 76.0
- Honours
- 74.0
- Longevity
- 76.0
- Sport
- Tennis
- Career
- 1999–2014
- Country
- 🇨🇳 China
- Peak
- 84.0
- Dominance
- 72.0
- Statistics
- 76.0
- Honours
- 74.0
- Longevity
- 70.0
- Sport
- Tennis
- Career
- 2013–active
- Country
- 🇩🇪 Germany
- Peak
- 82.0
- Dominance
- 72.0
- Statistics
- 80.0
- Honours
- 70.0
- Longevity
- 72.0
- Sport
- Tennis
- Career
- 2017–active
- Country
- 🇺🇸 United States
- Peak
- 88.0
- Dominance
- 72.0
- Statistics
- 78.0
- Honours
- 74.0
- Longevity
- 62.0
- Sport
- Tennis
- Career
- 2019–active
- Country
- 🇺🇸 United States
- Peak
- 86.0
- Dominance
- 74.0
- Statistics
- 80.0
- Honours
- 72.0
- Longevity
- 52.0
| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 16 | Helen Wills Moody | Tennis | 🇺🇸 United States | 1919–1938 | 90.5 |
| 70 | Herbert Lawford | Tennis | 🇬🇧 United Kingdom | 1878–1893 | 84.1 |
| 111 | Gordon Lowe | Tennis | 🇬🇧 United Kingdom | 1907–1929 | 82.4 |
| 112 | Svetlana Kuznetsova | Tennis | 🇷🇺 Russia | 2000–2022 | 82.3 |
| 132 | Arantxa Sánchez Vicario | Tennis | 🇪🇸 Spain | 1985–2002 | 81.4 |
| 137 | Flavia Pennetta | Tennis | 🇮🇹 Italy | 2000–2015 | 81.2 |
| 144 | Jelena Janković | Tennis | 🇷🇸 Serbia | 2000–2017 | 80.8 |
| 145 | Elena Dementieva | Tennis | 🇷🇺 Russia | 1998–2010 | 80.8 |
| 150 | Jennifer Capriati | Tennis | 🇺🇸 United States | 1990–2004 | 80.6 |
| 151 | David Ferrer | Tennis | 🇪🇸 Spain | 2000–2019 | 80.6 |
| 152 | Garbiñe Muguruza | Tennis | 🇪🇸 Spain | 2012–2023 | 80.6 |
| 154 | Frederick Hovey | Tennis | 🇺🇸 United States | 1890–1896 | 80.6 |
| 175 | Kei Nishikori | Tennis | 🇯🇵 Japan | 2007–— | 79.5 |
| 187 | Daria Kasatkina | Tennis | 🇦🇺 Australia | 2014–— | 79 |
| 190 | Anastasia Myskina | Tennis | 🇷🇺 Russia | 1999–2007 | 78.7 |
| 198 | Jessica Pegula | Tennis | 🇺🇸 United States | 2009–— | 78.4 |
| 201 | Victoria Azarenka | Tennis | 🇧🇾 Belarus | 2003–— | 78.2 |
| 210 | Tomáš Berdych | Tennis | 🇨🇿 Czech Republic | 2002–2019 | 77.5 |
| 216 | Tracy Austin | Tennis | 🇺🇸 United States | 1977–1994 | 77.2 |
| 219 | Jasmine Paolini | Tennis | 🇮🇹 Italy | 2015–— | 76.9 |
| 231 | Angelique Kerber | Tennis | 🇩🇪 Germany | 2003–2024 | 75.8 |
| 238 | Li Na | Tennis | 🇨🇳 China | 1999–2014 | 75 |
| 242 | Alexander Zverev | Tennis | 🇩🇪 Germany | 2013–— | 74.8 |
| 243 | Sofia Kenin | Tennis | 🇺🇸 United States | 2017–— | 74.5 |
| 247 | Coco Gauff | Tennis | 🇺🇸 United States | 2019–— | 72.5 |
Compare the leaders
Helen Wills Moody vs Herbert LawfordRead the full methodology
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 methodologyFrequently asked questions
How is this ranking calculated?
Five verified components are weighted consistently: dominance, peak, longevity, honours and statistics.
Who is included?
Only verified athletes with sufficient career history, metrics, honours and independent sources are eligible.
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