- Sport
- Football
- Career
- 2002–2020
- Country
- 🇪🇸 Spain
- Peak
- 82.0
- Dominance
- 82.0
- Statistics
- 70.0
- Honours
- 80.0
- Longevity
- 80.0
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 |
|---|---|---|---|---|---|
| 552 | Gabi Fernández | Football | 🇪🇸 Spain | 2002–2020 | 79.4 |
| 553 | Park Ji-sung | Football | 🇰🇷 South Korea | 2000–2014 | 79.4 |
| 557 | Jay-Jay Okocha | Football | 🇳🇬 Nigeria | 1990–2008 | 79.3 |
| 558 | Louisa Nécib | Football | 🇫🇷 France | 2005–2016 | 79.3 |
| 559 | Aldo Serena | Football | 🇮🇹 Italy | 1978–1993 | 79.2 |
| 560 | Giuseppe Giannini | Football | 🇮🇹 Italy | 1982–1999 | 79.2 |
| 561 | Marcos Senna | Football | 🇪🇸 Spain | 1998–2015 | 79.2 |
| 563 | Oleksiy Oleksandrovych Mykhaylychenko | Football | 🇺🇦 Ukraine | 1983–1996 | 79.1 |
| 564 | Paulo Futre | Football | 🇵🇹 Portugal | 1983–2003 | 79.0 |
| 565 | Rabah Madjer | Football | 🇩🇿 Algeria | 1978–1992 | 78.9 |
| 566 | Zbigniew Boniek | Football | 🇵🇱 Poland | 1975–1988 | 78.9 |
| 567 | Álvaro Recoba | Football | 🇺🇾 Uruguay | 1994–2015 | 78.9 |
| 569 | Aleksandar Kolarov | Football | 🇷🇸 Serbia | 2005–2022 | 78.8 |
| 570 | Asamoah Gyan | Football | 🇬🇭 Ghana | 2003–2021 | 78.8 |
| 571 | Tanju Çolak | Football | 🇹🇷 Turkey | 1983–1994 | 78.8 |
| 573 | Diego Godín | Football | 🇺🇾 Uruguay | 2003–2023 | 78.7 |
| 577 | Míchel Salgado | Football | 🇪🇸 Spain | 1994–2012 | 78.5 |
| 578 | Andoni Goikoetxea | Football | 🇪🇸 Spain | 1976–1990 | 78.4 |
| 579 | Vincent Candela | Football | 🇫🇷 France | 1993–2007 | 78.4 |
| 580 | Eric Cantona | Football | 🇫🇷 France | 1983–1997 | 78.3 |
| 581 | Matthew Le Tissier | Football | 🏴 England | 1986–2002 | 78.3 |
| 584 | Glenn Hoddle | Football | 🏴 England | 1976–1995 | 78.1 |
| 585 | Patrick Stephan Kluivert | Football | 🇳🇱 Netherlands | 1995–2008 | 78.0 |
| 588 | Jean-Pierre Papin | Football | 🇫🇷 France | 1984–1999 | 77.8 |
| 589 | Nuno Gomes | Football | 🇵🇹 Portugal | 1994–2015 | 77.8 |
| 590 | Daniel Van Buyten | Football | 🇧🇪 Belgium | 1999–2014 | 77.8 |
| 591 | Mário Jardel | Football | 🇧🇷 Brazil | 1992–2011 | 77.8 |
| 594 | Andrei Arshavin | Football | 🇷🇺 Russia | 2000–2018 | 77.6 |
| 596 | Bruno Pezzey | Football | 🇦🇹 Austria | 1974–1990 | 77.6 |
| 600 | David Ginola | Football | 🇫🇷 France | 1986–2002 | 77.5 |
| 601 | Juninho Pernambucano | Football | 🇧🇷 Brazil | 1993–2013 | 77.4 |
| 602 | Marco Tardelli | Football | 🇮🇹 Italy | 1972–1988 | 77.3 |
| 604 | Oliver Bierhoff | Football | 🇩🇪 Germany | 1987–2003 | 77.2 |
| 606 | Faustino Asprilla | Football | 🇨🇴 Colombia | 1988–2004 | 76.9 |
| 609 | Hidetoshi Nakata | Football | 🇯🇵 Japan | 1995–2006 | 76.5 |
| 610 | Tomáš Rosický | Football | 🇨🇿 Czech Republic | 1998–2017 | 76.4 |
| 611 | Aleksandr Mostovoi | Football | 🇷🇺 Russia | 1986–2005 | 76.3 |
| 612 | Christian Wörns | Football | 🇩🇪 Germany | 1990–2008 | 76.3 |
| 614 | Christopher Nkunku | Football | 🇫🇷 France | 2016–2025 | 76.2 |
| 616 | Viktor Onopko | Football | 🇷🇺 Russia | 1986–2005 | 76.1 |
| 618 | Giuseppe Signori | Football | 🇮🇹 Italy | 1985–2006 | 75.9 |
| 621 | Oleh Volodymyrovych Kuznetsov | Football | 🇺🇦 Ukraine | 1981–1997 | 75.5 |
| 622 | Patrick Joseph Bonner | Football | 🇮🇪 Ireland | 1979–1998 | 75.5 |
| 623 | Theodorus Antonius Gerardus Snelders | Football | 🇳🇱 Netherlands | 1981–2001 | 75.4 |
| 624 | Cole Palmer | Football | 🏴 England | 2021–2025 | 75.3 |
| 626 | Dario Šimić | Football | 🇭🇷 Croatia | 1993–2010 | 75.1 |
| 627 | André Schürrle | Football | 🇩🇪 Germany | 2010–2020 | 75.0 |
| 632 | Leonel Guillermo Sánchez Lineros | Football | 🇨🇱 Chile | 1953–1973 | 74.3 |
| 635 | Yoann Gourcuff | Football | 🇫🇷 France | 2004–2019 | 74.0 |
| 636 | Adrian Mutu | Football | 🇷🇴 Romania | 1997–2016 | 73.9 |
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.