- Sport
- Football
- Career
- 2002–2019
- Country
- 🇧🇷 Brazil
- Peak
- 86.0
- Dominance
- 78.0
- Statistics
- 84.0
- Honours
- 84.0
- Longevity
- 84.0
GOAT Rank · 166
This ranking is led by Lionel Messi, Cristiano Ronaldo and Marta Vieira da Silva. GOAT Rank currently ranks 166 eligible Football players who debuted in the 2000s 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 |
|---|---|---|---|---|---|
| 395 | Rosana dos Santos | Football | 🇧🇷 Brazil | 2002–2019 | 82.9 |
| 398 | Koke Resurrección | Football | 🇪🇸 Spain | 2009–active | 82.8 |
| 399 | Nilla Fischer | Football | 🇸🇪 Sweden | 2001–2023 | 82.8 |
| 402 | Diego da Silva Costa | Football | 🇪🇸 Spain | 2007–2024 | 82.8 |
| 403 | Daniela Sabatino | Football | 🇮🇹 Italy | 2002–active | 82.7 |
| 404 | Yuri Zhirkov | Football | 🇷🇺 Russia | 2001–2022 | 82.7 |
| 407 | Ricardo Carvalho | Football | 🇵🇹 Portugal | 2000–2017 | 82.6 |
| 410 | Alia Guagni | Football | 🇮🇹 Italy | 2005–2023 | 82.5 |
| 411 | Alberto Gilardino | Football | 🇮🇹 Italy | 2000–2018 | 82.5 |
| 412 | Blaise Matuidi | Football | 🇫🇷 France | 2005–2021 | 82.5 |
| 413 | David de Gea | Football | 🇪🇸 Spain | 2009–active | 82.5 |
| 414 | Gonzalo Higuaín | Football | 🇦🇷 Argentina | 2005–2022 | 82.5 |
| 420 | Georginio Wijnaldum | Football | 🇳🇱 Netherlands | 2007–active | 82.4 |
| 421 | Pernille Harder | Football | 🇩🇰 Denmark | 2009–active | 82.3 |
| 423 | Hedvig Lindahl | Football | 🇸🇪 Sweden | 2000–2024 | 82.3 |
| 428 | Cristiana Girelli | Football | 🇮🇹 Italy | 2006–active | 82.2 |
| 429 | Vincent Kompany | Football | 🇧🇪 Belgium | 2003–2019 | 82.2 |
| 432 | Tabea Kemme | Football | 🇩🇪 Germany | 2009–2019 | 82.2 |
| 433 | Sam Kerr | Football | 🇦🇺 Australia | 2008–active | 82.1 |
| 437 | Amandine Henry | Football | 🇫🇷 France | 2007–active | 82.1 |
| 452 | Valentina Cernoia | Football | 🇮🇹 Italy | 2008–active | 82.0 |
| 455 | Fabiana da Silva | Football | 🇧🇷 Brazil | 2006–2021 | 82.0 |
| 457 | Bastian Schweinsteiger | Football | 🇩🇪 Germany | 2002–2019 | 81.9 |
| 461 | Sergio Agüero | Football | 🇦🇷 Argentina | 2003–2021 | 81.8 |
| 463 | Alexis Sánchez | Football | 🇨🇱 Chile | 2005–active | 81.8 |
| 473 | Steph Houghton | Football | 🏴 England | 2006–2024 | 81.6 |
| 474 | Elisa Bartoli | Football | 🇮🇹 Italy | 2007–active | 81.6 |
| 476 | Robinho | Football | 🇧🇷 Brazil | 2002–2020 | 81.6 |
| 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 |
| 484 | Emmanuel Adebayor | Football | 🇹🇬 Togo | 2002–2020 | 81.4 |
| 488 | Ilaria Mauro | Football | 🇮🇹 Italy | 2004–2021 | 81.3 |
| 497 | Claudio Bravo | Football | 🇨🇱 Chile | 2002–2024 | 81.2 |
| 498 | Sebastian Larsson | Football | 🇸🇪 Sweden | 2005–2023 | 81.2 |
| 501 | Mario Mandžukić | Football | 🇭🇷 Croatia | 2005–2021 | 81.1 |
| 503 | Cesar Azpilicueta | Football | 🇪🇸 Spain | 2007–2025 | 81.0 |
| 505 | Dušan Tadić | Football | 🇷🇸 Serbia | 2007–2025 | 81.0 |
| 517 | Jan Vertonghen | Football | 🇧🇪 Belgium | 2006–2025 | 80.7 |
| 519 | Marek Hamšík | Football | 🇸🇰 Slovakia | 2004–2023 | 80.6 |
| 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 |
| 533 | Trine Rønning | Football | 🇳🇴 Norway | 2002–2015 | 80.1 |
| 534 | Jessica Houara | Football | 🇫🇷 France | 2006–2019 | 80.1 |
| 542 | Rafael van der Vaart | Football | 🇳🇱 Netherlands | 2000–2019 | 79.8 |
| 552 | Gabi Fernández | Football | 🇪🇸 Spain | 2002–2020 | 79.4 |
| 553 | Park Ji-sung | Football | 🇰🇷 South Korea | 2000–2014 | 79.4 |
| 556 | Adriana Silva | Football | 🇧🇷 Brazil | 2007–active | 79.4 |
| 558 | Louisa Nécib | Football | 🇫🇷 France | 2005–2016 | 79.3 |
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.