- Sport
- Football
- Career
- 1953–1972
- Country
- 🇧🇷 Brazil
- Peak
- 93.0
- Dominance
- 86.0
- Statistics
- 84.0
- Honours
- 85.0
- Longevity
- 76.0
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 |
|---|---|---|---|---|---|
| 264 | Garrincha | Football | 🇧🇷 Brazil | 1953–1972 | 84.9 |
| 265 | Roberto Baggio | Football | 🇮🇹 Italy | 1982–2004 | 84.9 |
| 266 | Samuel Eto'o | Football | 🇨🇲 Cameroon | 1997–2019 | 84.9 |
| 267 | John Charles | Football | 🏴 Wales | 1949–1974 | 84.9 |
| 268 | Clarence Seedorf | Football | 🇳🇱 Netherlands | 1992–2014 | 84.9 |
| 269 | Sócrates | Football | 🇧🇷 Brazil | 1974–1989 | 84.9 |
| 271 | Thomas Jürgen Häßler | Football | 🇩🇪 Germany | 1985–2004 | 84.9 |
| 272 | Ricardo Zamora | Football | 🇪🇸 Spain | 1916–1936 | 84.8 |
| 273 | Tony Adams | Football | 🏴 England | 1983–2002 | 84.8 |
| 276 | Roger Hunt | Football | 🏴 England | 1958–1972 | 84.7 |
| 277 | Josef Masopust | Football | 🇨🇿 Czechia | 1950–1974 | 84.7 |
| 278 | Kate Markgraf | Football | 🇺🇸 United States | 1998–2010 | 84.7 |
| 279 | Antonio Rattín | Football | 🇦🇷 Argentina | 1956–1970 | 84.7 |
| 280 | Cafu | Football | 🇧🇷 Brazil | 1989–2008 | 84.6 |
| 281 | Miroslav Klose | Football | 🇩🇪 Germany | 1999–2016 | 84.6 |
| 282 | Sandro Mazzola | Football | 🇮🇹 Italy | 1960–1977 | 84.6 |
| 283 | Silvia Neid | Football | 🇩🇪 Germany | 1979–1996 | 84.6 |
| 286 | René Houseman | Football | 🇦🇷 Argentina | 1971–1985 | 84.6 |
| 287 | Alessandro Del Piero | Football | 🇮🇹 Italy | 1991–2014 | 84.5 |
| 289 | Frank Lampard | Football | 🏴 United Kingdom | 1995–2017 | 84.4 |
| 291 | Philipp Lahm | Football | 🇩🇪 Germany | 2002–2017 | 84.4 |
| 292 | Laura Georges | Football | 🇫🇷 France | 2001–2018 | 84.4 |
| 294 | Katia Cilene | Football | 🇧🇷 Brazil | 1995–2012 | 84.4 |
| 295 | Thomas Ravelli | Football | 🇸🇪 Sweden | 1976–1999 | 84.4 |
| 297 | Uwe Seeler | Football | 🇩🇪 Germany | 1953–1972 | 84.3 |
| 299 | Carlos Tévez | Football | 🇦🇷 Argentina | 2001–2022 | 84.3 |
| 300 | George Best | Football | 🇬🇧 Northern Ireland | 1963–1984 | 84.3 |
| 302 | Ruud Gullit | Football | 🇳🇱 Netherlands | 1979–1998 | 84.2 |
| 304 | Emlyn Hughes | Football | 🏴 England | 1964–1984 | 84.2 |
| 305 | Deco | Football | 🇵🇹 Portugal | 1997–2013 | 84.2 |
| 306 | Élodie Thomis | Football | 🇫🇷 France | 2004–2017 | 84.2 |
| 307 | Shannon MacMillan | Football | 🇺🇸 United States | 1993–2005 | 84.2 |
| 308 | Lena Videkull | Football | 🇸🇪 Sweden | 1985–1996 | 84.2 |
| 309 | Mario Corso | Football | 🇮🇹 Italy | 1958–1975 | 84.2 |
| 310 | Robin van Persie | Football | 🇳🇱 Netherlands | 2002–2019 | 84.2 |
| 313 | Daniele De Rossi | Football | 🇮🇹 Italy | 2001–2019 | 84.1 |
| 314 | Malin Andersson | Football | 🇸🇪 Sweden | 1990–2007 | 84.1 |
| 317 | Demetrio Albertini | Football | 🇮🇹 Italy | 1989–2005 | 84.1 |
| 318 | Carlos Valderrama | Football | 🇨🇴 Colombia | 1981–2002 | 84.1 |
| 320 | Wayne Rooney | Football | 🏴 United Kingdom | 2002–2021 | 84.0 |
| 321 | Jürgen Klinsmann | Football | 🇩🇪 Germany | 1981–1998 | 84.0 |
| 322 | John Robertson | Football | 🏴 Scotland | 1970–1986 | 84.0 |
| 323 | Paul Breitner | Football | 🇩🇪 Germany | 1970–1983 | 84.0 |
| 325 | Rachel Yankey | Football | 🏴 England | 1996–2016 | 84.0 |
| 327 | Paul Scholes | Football | 🏴 United Kingdom | 1993–2013 | 83.9 |
| 328 | David Trezeguet | Football | 🇫🇷 France | 1993–2015 | 83.9 |
| 329 | Matthias Sammer | Football | 🇩🇪 Germany | 1985–1998 | 83.9 |
| 330 | Gary Lineker | Football | 🏴 England | 1978–1994 | 83.9 |
| 331 | Careca | Football | 🇧🇷 Brazil | 1978–1997 | 83.9 |
| 332 | Eric Abidal | Football | 🇫🇷 France | 2001–2015 | 83.9 |
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.