- Sport
- Football
- Career
- 2011–active
- Country
- 🇸🇪 Sweden
- Peak
- 86.0
- Dominance
- 80.0
- Statistics
- 80.0
- Honours
- 84.0
- Longevity
- 80.0
GOAT Rank · 674
This ranking is led by Lionel Messi, Cristiano Ronaldo and Marta Vieira da Silva. GOAT Rank currently ranks 674 eligible Football players using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Lionel Messi ranks #1 on this list with a GOAT Score of 97.0.
How the GOAT Score is calculated →| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 451 | Fridolina Rolfö | Football | 🇸🇪 Sweden | 2011–active | 82.0 |
| 452 | Valentina Cernoia | Football | 🇮🇹 Italy | 2008–active | 82.0 |
| 453 | Casey Stoney | Football | 🏴 England | 1997–2018 | 82.0 |
| 454 | Ludmila Silva | Football | 🇧🇷 Brazil | 2013–active | 82.0 |
| 455 | Fabiana da Silva | Football | 🇧🇷 Brazil | 2006–2021 | 82.0 |
| 456 | Hugo Sánchez | Football | 🇲🇽 Mexico | 1976–1997 | 81.9 |
| 457 | Bastian Schweinsteiger | Football | 🇩🇪 Germany | 2002–2019 | 81.9 |
| 458 | Robbie Fowler | Football | 🏴 England | 1992–2012 | 81.9 |
| 459 | Ian Wright | Football | 🏴 England | 1985–2000 | 81.9 |
| 460 | Heinz Flohe | Football | 🇩🇪 Germany | 1967–1980 | 81.9 |
| 461 | Sergio Agüero | Football | 🇦🇷 Argentina | 2003–2021 | 81.8 |
| 462 | Dennis Bergkamp | Football | 🇳🇱 Netherlands | 1986–2006 | 81.8 |
| 463 | Alexis Sánchez | Football | 🇨🇱 Chile | 2005–active | 81.8 |
| 464 | Keira Walsh | Football | 🏴 England | 2014–active | 81.8 |
| 465 | Dani Carvajal | Football | 🇪🇸 Spain | 2011–active | 81.8 |
| 466 | Luca Toni | Football | 🇮🇹 Italy | 1995–2016 | 81.8 |
| 467 | Pauleta | Football | 🇵🇹 Portugal | 1993–2008 | 81.7 |
| 468 | Luis Aragonés | Football | 🇪🇸 Spain | 1957–1975 | 81.7 |
| 469 | Hernán Crespo | Football | 🇦🇷 Argentina | 1993–2012 | 81.7 |
| 470 | Andressa Alves | Football | 🇧🇷 Brazil | 2011–active | 81.7 |
| 471 | Mário Coluna | Football | 🇵🇹 Portugal | 1954–1971 | 81.7 |
| 472 | Youri Djorkaeff | Football | 🇫🇷 France | 1984–2006 | 81.6 |
| 473 | Steph Houghton | Football | 🏴 England | 2006–2024 | 81.6 |
| 474 | Elisa Bartoli | Football | 🇮🇹 Italy | 2007–active | 81.6 |
| 475 | Luis Enrique | Football | 🇪🇸 Spain | 1990–2004 | 81.6 |
| 476 | Robinho | Football | 🇧🇷 Brazil | 2002–2020 | 81.6 |
| 477 | Trent John Alexander-Arnold | Football | 🏴 England | 2017–active | 81.6 |
| 478 | Alan Shearer | Football | 🏴 United Kingdom | 1988–2006 | 81.5 |
| 479 | Stefan Effenberg | Football | 🇩🇪 Germany | 1987–2004 | 81.5 |
| 480 | Maren Mjelde | Football | 🇳🇴 Norway | 2005–active | 81.5 |
| 481 | Pierre-Emerick Aubameyang | Football | 🇬🇦 Gabon | 2009–active | 81.5 |
| 482 | Antonio Valencia | Football | 🇪🇨 Ecuador | 2003–2021 | 81.5 |
| 483 | Trevor Francis | Football | 🏴 England | 1970–1994 | 81.4 |
| 484 | Emmanuel Adebayor | Football | 🇹🇬 Togo | 2002–2020 | 81.4 |
| 485 | Roy Keane | Football | 🇮🇪 Ireland | 1990–2006 | 81.3 |
| 486 | Carles Puyol | Football | 🇪🇸 Spain | 1999–2014 | 81.3 |
| 487 | Lina Hurtig | Football | 🇸🇪 Sweden | 2012–active | 81.3 |
| 488 | Ilaria Mauro | Football | 🇮🇹 Italy | 2004–2021 | 81.3 |
| 489 | Bodo Illgner | Football | 🇩🇪 Germany | 1986–2001 | 81.3 |
| 490 | Patrick Vieira | Football | 🇫🇷 France | 1994–2011 | 81.2 |
| 491 | Ruud van Nistelrooy | Football | 🇳🇱 Netherlands | 1993–2012 | 81.2 |
| 492 | Claude Makélélé | Football | 🇫🇷 France | 1991–2011 | 81.2 |
| 493 | Pierre Littbarski | Football | 🇩🇪 Germany | 1978–1997 | 81.2 |
| 494 | Adelardo Rodríguez | Football | 🇪🇸 Spain | 1959–1976 | 81.2 |
| 495 | Emilio Butragueño | Football | 🇪🇸 Spain | 1982–1998 | 81.2 |
| 496 | Mahmoud El Khatib | Football | 🇪🇬 Egypt | 1972–1988 | 81.2 |
| 497 | Claudio Bravo | Football | 🇨🇱 Chile | 2002–2024 | 81.2 |
| 498 | Sebastian Larsson | Football | 🇸🇪 Sweden | 2005–2023 | 81.2 |
| 499 | George Weah | Football | 🇱🇷 Liberia | 1985–2003 | 81.1 |
| 500 | Lauren Hemp | Football | 🏴 England | 2016–active | 81.1 |
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.