- Sport
- Basketball
- Career
- 1983–1998
- Country
- 🇺🇸 United States
- Peak
- 92.0
- Dominance
- 84.0
- Statistics
- 90.0
- Honours
- 88.0
- Longevity
- 84.0
GOAT Rank · 5087
This ranking is led by Lionel Messi, Cristiano Ronaldo and Michael Phelps. GOAT Rank currently ranks 5087 eligible athletes 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 |
|---|---|---|---|---|---|
| 351 | Clyde Drexler | Basketball | 🇺🇸 United States | 1983–1998 | 85.6 |
| 352 | Denis Law | Football | 🏴 Scotland | 1956–1974 | 85.6 |
| 353 | Virgil Hill | Boxing | 🇺🇸 United States | 1984–2007 | 85.6 |
| 354 | Jack "Kid" Berg | Boxing | 🇬🇧 United Kingdom | 1924–1945 | 85.6 |
| 355 | Julián Álvarez | Football | 🇦🇷 Argentina | 2018–active | 85.6 |
| 356 | Robert Prosinečki | Football | 🇭🇷 Croatia | 1986–2004 | 85.6 |
| 357 | Sonny Anderson | Football | 🇧🇷 Brazil | 1988–2006 | 85.6 |
| 358 | Igor Belanov | Football | 🇺🇦 Ukraine | 1979–1995 | 85.6 |
| 359 | Barbara Bonansea | Football | 🇮🇹 Italy | 2008–active | 85.6 |
| 360 | Virgil van Dijk | Football | 🇳🇱 Netherlands | 2011–active | 85.6 |
| 361 | Tom Brady | American Football | 🇺🇸 USA | 2000–2022 | 85.5 |
| 362 | Florence Griffith Joyner | Athletics | 🇺🇸 United States | 1983–1989 | 85.5 |
| 363 | Gail Devers | Athletics | 🇺🇸 United States | 1987–2007 | 85.5 |
| 364 | Virgilijus Alekna | Athletics | 🇱🇹 Lithuania | 1993–2012 | 85.5 |
| 365 | Bebeto | Football | 🇧🇷 Brazil | 1983–2002 | 85.5 |
| 366 | Bixente Lizarazu | Football | 🇫🇷 France | 1988–2006 | 85.5 |
| 367 | Kurt Hamrin | Football | 🇸🇪 Sweden | 1952–1971 | 85.5 |
| 368 | Marco Materazzi | Football | 🇮🇹 Italy | 1993–2011 | 85.5 |
| 369 | Fabinho | Football | 🇧🇷 Brazil | 2012–active | 85.5 |
| 370 | Viktor Gyökeres | Football | 🇸🇪 Sweden | 2016–active | 85.5 |
| 371 | Jill Scott | Football | 🏴 England | 2006–2022 | 85.5 |
| 372 | Lisa De Vanna | Football | 🇦🇺 Australia | 2004–2021 | 85.5 |
| 373 | Svenja Huth | Football | 🇩🇪 Germany | 2008–2024 | 85.5 |
| 374 | Virat Kohli | Cricket | 🇮🇳 India | 2008–active | 85.4 |
| 375 | Franco Baresi | Football | 🇮🇹 Italy | 1977–1997 | 85.4 |
| 376 | Alexander Popov | Swimming | 🇷🇺 Russia | 1990–2004 | 85.4 |
| 377 | Roberto Carlos | Football | 🇧🇷 Brazil | 1991–2015 | 85.4 |
| 378 | Gianni Rivera | Football | 🇮🇹 Italy | 1959–1979 | 85.4 |
| 379 | Len Hutton | Cricket | 🇬🇧 United Kingdom | 1934–1960 | 85.4 |
| 380 | Franziska van Almsick | Swimming | 🇩🇪 Germany | 1991–2004 | 85.4 |
| 381 | Herbert Sutcliffe | Cricket | 🇬🇧 United Kingdom | 1919–1945 | 85.4 |
| 382 | Karen Rolton | Cricket | 🇦🇺 Australia | 1995–2009 | 85.4 |
| 383 | Shakib Al Hasan | Cricket | 🇧🇩 Bangladesh | 2006–active | 85.4 |
| 384 | Dmitry Bivol | Boxing | 🇰🇬 Kyrgyzstan | 2014–active | 85.4 |
| 385 | Kevin Keegan | Football | 🏴 England | 1968–1984 | 85.4 |
| 386 | Filippo Inzaghi | Football | 🇮🇹 Italy | 1991–2012 | 85.4 |
| 387 | Bill Tilden | Tennis | 🇺🇸 United States | 1912–1946 | 85.4 |
| 388 | Tony Canzoneri | Boxing | 🇺🇸 United States | 1925–1939 | 85.4 |
| 389 | Adrian Dantley | Basketball | 🇺🇸 United States | 1976–1991 | 85.4 |
| 390 | Kadidiatou Diani | Football | 🇫🇷 France | 2012–active | 85.4 |
| 391 | Melanie Behringer | Football | 🇩🇪 Germany | 2005–2017 | 85.4 |
| 392 | Edin Džeko | Football | 🇧🇦 Bosnia and Herzegovina | 2004–active | 85.4 |
| 393 | Giancarlo Antognoni | Football | 🇮🇹 Italy | 1971–1989 | 85.4 |
| 394 | Raúl González | Football | 🇪🇸 Spain | 1994–2015 | 85.3 |
| 395 | Shane Warne | Cricket | 🇦🇺 Australia | 1991–2013 | 85.3 |
| 396 | Muttiah Muralitharan | Cricket | 🇱🇰 Sri Lanka | 1991–2011 | 85.3 |
| 397 | Archie Moore | Boxing | 🇺🇸 United States | 1935–1963 | 85.3 |
| 398 | Yana Klochkova | Swimming | 🇺🇦 Ukraine | 1996–2008 | 85.3 |
| 399 | Graeme Souness | Football | 🏴 Scotland | 1970–1991 | 85.3 |
| 400 | Gordon Banks | Football | 🏴 England | 1958–1978 | 85.3 |
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.