- Sport
- Football
- Career
- 1950–1971
- Country
- 🇷🇺 Russia
- Peak
- 96.0
- Dominance
- 90.0
- Statistics
- 88.0
- Honours
- 92.0
- Longevity
- 88.0
GOAT Rank · 53
This ranking is led by Lev Yashin, Edwin van der Sar and Fabien Barthez. GOAT Rank currently ranks 53 eligible Football goalkeepers using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Lev Yashin ranks #1 on this list with a GOAT Score of 90.9.
How the GOAT Score is calculated →| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 23 | Lev Yashin | Football | 🇷🇺 Russia | 1950–1971 | 90.9 |
| 26 | Edwin van der Sar | Football | 🇳🇱 Netherlands | 1991–2011 | 90.8 |
| 42 | Fabien Barthez | Football | 🇫🇷 France | 1991–2007 | 89.6 |
| 47 | Nadine Angerer | Football | 🇩🇪 Germany | 1996–2015 | 89.4 |
| 55 | Thibaut Nicolas Marc Courtois | Football | 🇧🇪 Belgium | 2009–active | 89.1 |
| 56 | Gianluigi Buffon | Football | 🇮🇹 Italy | 1995–2023 | 89.0 |
| 66 | Peter Schmeichel | Football | 🇩🇰 Denmark | 1981–2003 | 88.8 |
| 76 | Sepp Maier | Football | 🇩🇪 Germany | 1962–1980 | 88.6 |
| 77 | Briana Scurry | Football | 🇺🇸 United States | 1994–2008 | 88.6 |
| 81 | Peter Shilton | Football | 🏴 England | 1966–1997 | 88.4 |
| 89 | Petr Čech | Football | 🇨🇿 Czech Republic | 1999–2019 | 88.2 |
| 97 | Dida | Football | 🇧🇷 Brazil | 1992–2015 | 88.0 |
| 101 | Rinat Dasayev | Football | 🇷🇺 Russia | 1976–1990 | 87.9 |
| 109 | Ray Clemence | Football | 🏴 England | 1965–1988 | 87.6 |
| 130 | Dino Zoff | Football | 🇮🇹 Italy | 1961–1983 | 87.2 |
| 136 | Ivo Viktor | Football | 🇨🇿 Czech Republic | 1964–1977 | 87.2 |
| 139 | Angelo Peruzzi | Football | 🇮🇹 Italy | 1988–2007 | 87.1 |
| 149 | Manuel Neuer | Football | 🇩🇪 Germany | 2006–active | 86.8 |
| 157 | Sandra Paños | Football | 🇪🇸 Spain | 2010–active | 86.7 |
| 162 | Iker Casillas | Football | 🇪🇸 Spain | 1999–2020 | 86.5 |
| 170 | Harald Schumacher | Football | 🇩🇪 Germany | 1974–1992 | 86.3 |
| 171 | Víctor Valdés | Football | 🇪🇸 Spain | 2003–2017 | 86.3 |
| 190 | Almuth Schult | Football | 🇩🇪 Germany | 2009–2024 | 85.9 |
| 199 | Hope Solo | Football | 🇺🇸 United States | 2000–2016 | 85.8 |
| 201 | Walter Zenga | Football | 🇮🇹 Italy | 1979–1999 | 85.8 |
| 207 | Neville Southall | Football | 🏴 Wales | 1980–2002 | 85.6 |
| 235 | Gordon Banks | Football | 🏴 England | 1958–1978 | 85.3 |
| 247 | Jan Oblak | Football | 🇸🇮 Slovenia | 2009–active | 85.2 |
| 272 | Ricardo Zamora | Football | 🇪🇸 Spain | 1916–1936 | 84.8 |
| 295 | Thomas Ravelli | Football | 🇸🇪 Sweden | 1976–1999 | 84.4 |
| 348 | Andoni Zubizarreta | Football | 🇪🇸 Spain | 1979–1997 | 83.6 |
| 349 | David Andrew Seaman | Football | 🏴 England | 1983–2004 | 83.6 |
| 350 | Marc-André ter Stegen | Football | 🇩🇪 Germany | 2011–active | 83.6 |
| 351 | Oliver Kahn | Football | 🇩🇪 Germany | 1987–2008 | 83.5 |
| 378 | Júlio César | Football | 🇧🇷 Brazil | 1997–2018 | 83.1 |
| 384 | Emiliano Martínez | Football | 🇦🇷 Argentina | 2012–active | 83.1 |
| 401 | Laura Giuliani | Football | 🇮🇹 Italy | 2010–active | 82.8 |
| 413 | David de Gea | Football | 🇪🇸 Spain | 2009–active | 82.5 |
| 415 | Ivan Ćurković | Football | 🇷🇸 Serbia | 1961–1981 | 82.5 |
| 423 | Hedvig Lindahl | Football | 🇸🇪 Sweden | 2000–2024 | 82.3 |
| 489 | Bodo Illgner | Football | 🇩🇪 Germany | 1986–2001 | 81.3 |
| 497 | Claudio Bravo | Football | 🇨🇱 Chile | 2002–2024 | 81.2 |
| 507 | Bruce Grobbelaar | Football | 🇿🇼 Zimbabwe | 1979–1998 | 80.9 |
| 513 | Gianluigi Donnarumma | Football | 🇮🇹 Italy | 2016–active | 80.8 |
| 521 | Lola Gallardo | Football | 🇪🇸 Spain | 2011–active | 80.6 |
| 540 | Jens Lehmann | Football | 🇩🇪 Germany | 1989–2011 | 79.9 |
| 572 | Francesca Durante | Football | 🇮🇹 Italy | 2011–active | 78.7 |
| 598 | Yassine Bounou | Football | 🇲🇦 Morocco | 2011–active | 77.6 |
| 599 | André Onana | Football | 🇨🇲 Cameroon | 2015–active | 77.5 |
| 622 | Patrick Joseph Bonner | Football | 🇮🇪 Ireland | 1979–1998 | 75.5 |
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.