- 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 Baseliners of all time
This ranking is led by Helen Wills Moody, Herbert Lawford and Gordon Lowe. GOAT Rank currently ranks 25 eligible Tennis baseliners using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Helen Wills Moody ranks #1 on this list with a GOAT Score of 90.5.
How the GOAT Score is calculated →#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–active | 79.5 |
| 187 | Daria Kasatkina | Tennis | 🇦🇺 Australia | 2014–active | 79.0 |
| 190 | Anastasia Myskina | Tennis | 🇷🇺 Russia | 1999–2007 | 78.7 |
| 198 | Jessica Pegula | Tennis | 🇺🇸 United States | 2009–active | 78.4 |
| 201 | Victoria Azarenka | Tennis | 🇧🇾 Belarus | 2003–active | 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–active | 76.9 |
| 231 | Angelique Kerber | Tennis | 🇩🇪 Germany | 2003–2024 | 75.8 |
| 238 | Li Na | Tennis | 🇨🇳 China | 1999–2014 | 75.0 |
| 242 | Alexander Zverev | Tennis | 🇩🇪 Germany | 2013–active | 74.8 |
| 243 | Sofia Kenin | Tennis | 🇺🇸 United States | 2017–active | 74.5 |
| 247 | Coco Gauff | Tennis | 🇺🇸 United States | 2019–active | 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?
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.
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