- Sport
- Football
- Career
- 1965–1979
- Country
- 🇩🇪 Germany
- Peak
- 88.0
- Dominance
- 78.0
- Statistics
- 82.0
- Honours
- 88.0
- Longevity
- 84.0
GOAT Rank · 469
This ranking is led by Bobby Moore, Pelé and Giacinto Facchetti. GOAT Rank currently ranks 469 eligible Football players using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Bobby Moore ranks #1 on this list with a GOAT Score of 94.6.
How the GOAT Score is calculated →| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 334 | Berti Vogts | Football | 🇩🇪 Germany | 1965–1979 | 83.8 |
| 335 | Zvonimir Boban | Football | 🇭🇷 Croatia | 1985–2002 | 83.8 |
| 336 | Diego Simeone | Football | 🇦🇷 Argentina | 1987–2006 | 83.8 |
| 337 | Sandrine Soubeyrand | Football | 🇫🇷 France | 1997–2016 | 83.8 |
| 338 | Didier Deschamps | Football | 🇫🇷 France | 1986–2001 | 83.8 |
| 339 | Gaëtane Thiney | Football | 🇫🇷 France | 2005–2023 | 83.7 |
| 342 | Marieanne Spacey | Football | 🏴 England | 1984–2000 | 83.7 |
| 344 | Omar Sívori | Football | 🇦🇷 Argentina | 1954–1969 | 83.6 |
| 345 | Karen Carney | Football | 🏴 England | 2005–2019 | 83.6 |
| 348 | Andoni Zubizarreta | Football | 🇪🇸 Spain | 1979–1997 | 83.6 |
| 349 | David Andrew Seaman | Football | 🏴 England | 1983–2004 | 83.6 |
| 351 | Oliver Kahn | Football | 🇩🇪 Germany | 1987–2008 | 83.5 |
| 352 | John Barnes | Football | 🏴 England | 1981–1999 | 83.5 |
| 353 | Nadine Keßler | Football | 🇩🇪 Germany | 2006–2016 | 83.5 |
| 354 | Claudio Marchisio | Football | 🇮🇹 Italy | 2006–2019 | 83.5 |
| 357 | Steven Gerrard | Football | 🏴 United Kingdom | 1998–2016 | 83.4 |
| 358 | Sonia Bompastor | Football | 🇫🇷 France | 1997–2013 | 83.4 |
| 359 | Isabell Herlovsen | Football | 🇳🇴 Norway | 2004–2021 | 83.4 |
| 361 | Dwight Yorke | Football | 🇹🇹 Trinidad and Tobago | 1990–2009 | 83.4 |
| 364 | Raí | Football | 🇧🇷 Brazil | 1984–2000 | 83.3 |
| 366 | Ellen White | Football | 🏴 England | 2005–2022 | 83.3 |
| 367 | Flórián Albert | Football | 🇭🇺 Hungary | 1958–1974 | 83.3 |
| 368 | Allan Simonsen | Football | 🇩🇰 Denmark | 1970–1989 | 83.3 |
| 370 | Ralf Edström | Football | 🇸🇪 Sweden | 1970–1983 | 83.3 |
| 372 | Javier Mascherano | Football | 🇦🇷 Argentina | 2003–2020 | 83.3 |
| 373 | Robert Pirès | Football | 🇫🇷 France | 1992–2015 | 83.2 |
| 375 | Just Fontaine | Football | 🇫🇷 France | 1953–1962 | 83.2 |
| 376 | Cheryl Salisbury | Football | 🇦🇺 Australia | 1994–2009 | 83.2 |
| 378 | Júlio César | Football | 🇧🇷 Brazil | 1997–2018 | 83.1 |
| 379 | Gianfranco Zola | Football | 🇮🇹 Italy | 1984–2005 | 83.1 |
| 380 | Salvatore Schillaci | Football | 🇮🇹 Italy | 1982–1999 | 83.1 |
| 381 | Kim Källström | Football | 🇸🇪 Sweden | 1999–2018 | 83.1 |
| 382 | Melanie Serrano | Football | 🇪🇸 Spain | 2005–2022 | 83.1 |
| 383 | Melania Gabbiadini | Football | 🇮🇹 Italy | 2000–2019 | 83.1 |
| 385 | Julio Salinas | Football | 🇪🇸 Spain | 1982–2000 | 83.1 |
| 386 | Álex Aguinaga | Football | 🇪🇨 Ecuador | 1984–2005 | 83.1 |
| 387 | Javier Zanetti | Football | 🇦🇷 Argentina | 1992–2014 | 83.0 |
| 388 | Billy Bremner | Football | 🏴 Scotland | 1959–1982 | 83.0 |
| 390 | Nia Künzer | Football | 🇩🇪 Germany | 1997–2008 | 83.0 |
| 391 | Giovanni van Bronckhorst | Football | 🇳🇱 Netherlands | 1994–2010 | 83.0 |
| 392 | Karl-Heinz Rummenigge | Football | 🇩🇪 Germany | 1974–1989 | 82.9 |
| 393 | László Kubala | Football | 🇭🇺 Hungary | 1946–1967 | 82.9 |
| 394 | Juan Román Riquelme | Football | 🇦🇷 Argentina | 1996–2014 | 82.9 |
| 395 | Rosana dos Santos | Football | 🇧🇷 Brazil | 2002–2019 | 82.9 |
| 397 | Peter Lorimer | Football | 🏴 Scotland | 1962–1986 | 82.8 |
| 399 | Nilla Fischer | Football | 🇸🇪 Sweden | 2001–2023 | 82.8 |
| 400 | Predrag Mijatović | Football | 🇲🇪 Montenegro | 1987–2004 | 82.8 |
| 402 | Diego da Silva Costa | Football | 🇪🇸 Spain | 2007–2024 | 82.8 |
| 404 | Yuri Zhirkov | Football | 🇷🇺 Russia | 2001–2022 | 82.7 |
| 406 | Peter Beardsley | Football | 🏴 England | 1979–1999 | 82.6 |
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.