- Sport
- Football
- Career
- 2005–2021
- Country
- 🇭🇷 Croatia
- Peak
- 83.0
- Dominance
- 78.0
- Statistics
- 80.0
- Honours
- 85.0
- 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 |
|---|---|---|---|---|---|
| 501 | Mario Mandžukić | Football | 🇭🇷 Croatia | 2005–2021 | 81.1 |
| 502 | Edgar Davids | Football | 🇳🇱 Netherlands | 1991–2014 | 81.0 |
| 503 | Cesar Azpilicueta | Football | 🇪🇸 Spain | 2007–2025 | 81.0 |
| 504 | Dudu Georgescu | Football | 🇷🇴 Romania | 1969–1987 | 81.0 |
| 505 | Dušan Tadić | Football | 🇷🇸 Serbia | 2007–2025 | 81.0 |
| 506 | Nwankwo Kanu | Football | 🇳🇬 Nigeria | 1993–2012 | 80.9 |
| 507 | Bruce Grobbelaar | Football | 🇿🇼 Zimbabwe | 1979–1998 | 80.9 |
| 508 | Bruno Fernandes | Football | 🇵🇹 Portugal | 2012–active | 80.9 |
| 509 | Arianna Caruso | Football | 🇮🇹 Italy | 2016–active | 80.9 |
| 510 | Katia Serra | Football | 🇮🇹 Italy | 1987–2006 | 80.9 |
| 511 | Didier Drogba | Football | 🇨🇮 Ivory Coast | 1998–2018 | 80.8 |
| 512 | Elin Rubensson | Football | 🇸🇪 Sweden | 2011–active | 80.8 |
| 513 | Gianluigi Donnarumma | Football | 🇮🇹 Italy | 2016–active | 80.8 |
| 514 | Michael Laudrup | Football | 🇩🇰 Denmark | 1981–1998 | 80.7 |
| 515 | Mapi León | Football | 🇪🇸 Spain | 2011–active | 80.7 |
| 516 | Uli Hoeneß | Football | 🇩🇪 Germany | 1970–1979 | 80.7 |
| 517 | Jan Vertonghen | Football | 🇧🇪 Belgium | 2006–2025 | 80.7 |
| 518 | Son Heung-min | Football | 🇰🇷 South Korea | 2010–active | 80.7 |
| 519 | Marek Hamšík | Football | 🇸🇰 Slovakia | 2004–2023 | 80.6 |
| 520 | Mallory Swanson | Football | 🇺🇸 United States | 2015–active | 80.6 |
| 521 | Lola Gallardo | Football | 🇪🇸 Spain | 2011–active | 80.6 |
| 522 | Michael Ballack | Football | 🇩🇪 Germany | 1995–2012 | 80.5 |
| 523 | Barbra Banda | Football | 🇿🇲 Zambia | 2016–active | 80.5 |
| 524 | Pamela Conti | Football | 🇮🇹 Italy | 1995–2013 | 80.5 |
| 525 | Ally McCoist | Football | 🏴 Scotland | 1979–2001 | 80.5 |
| 526 | Dries Mertens | Football | 🇧🇪 Belgium | 2006–2025 | 80.5 |
| 527 | Luís Carlos Almeida da Cunha | Football | 🇵🇹 Portugal | 2006–active | 80.5 |
| 528 | Eden Hazard | Football | 🇧🇪 Belgium | 2007–2023 | 80.3 |
| 529 | David Beckham | Football | 🏴 England | 1992–2013 | 80.2 |
| 530 | Gabriel Batistuta | Football | 🇦🇷 Argentina | 1988–2005 | 80.2 |
| 531 | Christian Vieri | Football | 🇮🇹 Italy | 1991–2009 | 80.2 |
| 532 | Magdalena Eriksson | Football | 🇸🇪 Sweden | 2011–active | 80.1 |
| 533 | Trine Rønning | Football | 🇳🇴 Norway | 2002–2015 | 80.1 |
| 534 | Jessica Houara | Football | 🇫🇷 France | 2006–2019 | 80.1 |
| 535 | Alphonso Davies | Football | 🇨🇦 Canada | 2016–active | 80.1 |
| 536 | Achraf Hakimi | Football | 🇲🇦 Morocco | 2017–active | 80.1 |
| 537 | John Terry | Football | 🏴 United Kingdom | 1998–2018 | 79.9 |
| 538 | Stina Blackstenius | Football | 🇸🇪 Sweden | 2013–active | 79.9 |
| 539 | Virginia Torrecilla | Football | 🇪🇸 Spain | 2012–active | 79.9 |
| 540 | Jens Lehmann | Football | 🇩🇪 Germany | 1989–2011 | 79.9 |
| 541 | Davor Šuker | Football | 🇭🇷 Croatia | 1989–2003 | 79.8 |
| 542 | Rafael van der Vaart | Football | 🇳🇱 Netherlands | 2000–2019 | 79.8 |
| 543 | Silvio Marzolini | Football | 🇦🇷 Argentina | 1959–1972 | 79.8 |
| 544 | Sir Trevor David Brooking | Football | 🏴 England | 1968–1984 | 79.8 |
| 545 | Joaquín Sánchez | Football | 🇪🇸 Spain | 1999–2023 | 79.7 |
| 546 | Rio Ferdinand | Football | 🏴 United Kingdom | 1996–2015 | 79.6 |
| 547 | Günter Netzer | Football | 🇩🇪 Germany | 1963–1977 | 79.6 |
| 548 | Patri Guijarro | Football | 🇪🇸 Spain | 2015–active | 79.6 |
| 549 | Alessandro Costacurta | Football | 🇮🇹 Italy | 1987–2006 | 79.6 |
| 550 | Mario Götze | Football | 🇩🇪 Germany | 2010–active | 79.6 |
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.