- Sport
- Golf
- Career
- 1986–2020
- Country
- 🏴 United Kingdom
- Peak
- 92.0
- Dominance
- 68.0
- Statistics
- 82.0
- Honours
- 74.0
- Longevity
- 86.0
GOAT Rank · 3228
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 |
|---|---|---|---|---|---|
| 3608 | Paul Lawrie | Golf | 🏴 United Kingdom | 1986–2020 | 74.5 |
| 3609 | David Brown | Golf | 🇬🇧 United Kingdom | 1886–1905 | 74.3 |
| 3611 | Justin Leonard | Golf | 🇺🇸 United States | 1994–2018 | 73.8 |
| 3612 | Ma Wenge | Table Tennis | 🇨🇳 China | 1988–1997 | 74.6 |
| 3613 | Paweł "byali" Bieliński | Esports | 🇵🇱 Poland | 2013–2021 | 76.3 |
| 3614 | Pedro Cunha | Volleyball | 🇧🇷 Brazil | 2008–2020 | 72.9 |
| 3616 | Percival Bromfield | Table Tennis | 🇬🇧 United Kingdom | 1926–1935 | 74.6 |
| 3617 | Li Jiao | Table Tennis | 🇳🇱 Netherlands | 1996–2020 | 76.9 |
| 3618 | Anatoly Amelin | Table Tennis | 🇷🇺 Russia | 1962–1974 | 75.2 |
| 3619 | Kim Kyung-ah | Table Tennis | 🇰🇷 South Korea | 1995–2012 | 76.5 |
| 3621 | Kévin "Ex6TenZ" Droolans | Esports | 🇧🇪 Belgium | 2007–2021 | 77.7 |
| 3622 | Kang "GorillA" Beom-hyeon | Esports | 🇰🇷 South Korea | 2013–2020 | 76.3 |
| 3623 | Universe | Esports | 🇺🇸 United States | 2012–2021 | 76.4 |
| 3624 | Pinkie Barnes | Table Tennis | 🇬🇧 United Kingdom | 1933–1951 | 76.0 |
| 3629 | Søren "Bjergsen" Bjerg | Esports | 🇩🇰 Denmark | 2011–2023 | 77.7 |
| 3630 | Jesse "JerAx" Vainikka | Esports | 🇫🇮 Finland | 2012–2020 | 75.5 |
| 3631 | Žarko Dolinar | Table Tennis | 🇭🇷 Croatia | 1946–1957 | 75.0 |
| 3634 | John Surtees | Formula 1 | 🇬🇧 United Kingdom | 1956–1972 | 74.0 |
| 3635 | Jaedong | Esports | 🇰🇷 South Korea | 2006–2019 | 75.7 |
| 3640 | Luka "Perkz" Perković | Esports | 🇭🇷 Croatia | 2015–2023 | 76.5 |
| 3641 | Vincent "Happy" Cervoni | Esports | 🇫🇷 France | 2012–2021 | 75.8 |
| 3642 | Viktoria Pavlovich | Table Tennis | 🇧🇾 Belarus | 1996–2016 | 76.2 |
| 3643 | Irina Belova | Athletics | 🇷🇺 Russia | 1989–2000 | 74.5 |
| 3644 | Bai Yang | Table Tennis | 🇨🇳 China | 1998–2008 | 74.6 |
| 3648 | Michael Campbell | Golf | 🇳🇿 New Zealand | 1993–2016 | 72.7 |
| 3653 | Yang Fangxu | Volleyball | 🇨🇳 China | 2003–2016 | 72.5 |
| 3654 | Zoltán Bubonyi | Table Tennis | 🇭🇺 Hungary | 1977–1990 | 75.3 |
| 3656 | Max Faulkner | Golf | 🇬🇧 United Kingdom | 1946–1980 | 74.3 |
| 3657 | Ai Fukuhara | Table Tennis | 🇯🇵 Japan | 1998–2018 | 76.3 |
| 3658 | Jörg Rosskopf | Table Tennis | 🇩🇪 Germany | 1986–2004 | 75.8 |
| 3659 | Anathan "ana" Pham | Esports | 🇦🇺 Australia | 2016–2021 | 73.5 |
| 3660 | Tyler "Skadoodle" Latham | Esports | 🇺🇸 United States | 2013–2020 | 75.1 |
| 3661 | Faith_bian | Esports | 🇨🇳 China | 2013–2021 | 75.5 |
| 3668 | Tong Ling | Table Tennis | 🇨🇳 China | 1987–1993 | 73.0 |
| 3669 | Wu Jiaduo | Table Tennis | 🇩🇪 Germany | 2000–2016 | 75.2 |
| 3670 | Nicole Struse | Table Tennis | 🇩🇪 Germany | 1989–2006 | 75.6 |
| 3671 | PraY | Esports | 🇰🇷 South Korea | 2012–2018 | 75.5 |
| 3672 | Cheng Hongxia | Table Tennis | 🇨🇳 China | 1996–2006 | 74.0 |
| 3673 | Stellan Bengtsson | Table Tennis | 🇸🇪 Sweden | 1968–1985 | 74.7 |
| 3675 | Fujie Eguchi | Table Tennis | 🇯🇵 Japan | 1954–1959 | 71.3 |
| 3676 | Tony Lema | Golf | 🇺🇸 United States | 1957–1966 | 70.3 |
| 3678 | He Zhili | Table Tennis | 🇨🇳 China | 1983–1994 | 73.3 |
| 3679 | Phil Hill | Formula 1 | 🇺🇸 United States | 1958–1966 | 71.8 |
| 3680 | Matilda Ekholm | Table Tennis | 🇸🇪 Sweden | 2001–2021 | 75.9 |
| 3681 | Damien Éloi | Table Tennis | 🇫🇷 France | 1987–2012 | 76.6 |
| 3682 | Zoya Yusova | Volleyball | 🇷🇺 Soviet Union | 1970–1982 | 71.8 |
| 3686 | Dave Marr | Golf | 🇺🇸 United States | 1953–1974 | 72.4 |
| 3689 | Kim Taek-soo | Table Tennis | 🇰🇷 South Korea | 1988–2004 | 75.4 |
| 3691 | Enrico Rossi | Volleyball | 🇮🇹 Italy | 1996–2014 | 72.8 |
| 3692 | Andrea Sartoretti | Volleyball | 🇮🇹 Italy | 1990–2008 | 72.8 |
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.