- Sport
- Football
- Career
- 1995–2017
- Country
- 🇮🇹 Italy
- Peak
- 88.0
- Dominance
- 82.0
- Statistics
- 84.0
- Honours
- 86.0
- Longevity
- 86.0
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 |
|---|---|---|---|---|---|
| 251 | Andrea Pirlo | Football | 🇮🇹 Italy | 1995–2017 | 85.1 |
| 252 | Sergio Busquets | Football | 🇪🇸 Spain | 2008–active | 85.1 |
| 253 | Lilian Thuram | Football | 🇫🇷 France | 1991–2008 | 85.1 |
| 254 | Jupp Heynckes | Football | 🇩🇪 Germany | 1964–1978 | 85.1 |
| 255 | Dominique Rocheteau | Football | 🇫🇷 France | 1971–1989 | 85.1 |
| 256 | Gro Espeseth | Football | 🇳🇴 Norway | 1990–2001 | 85.1 |
| 257 | Andreas Brehme | Football | 🇩🇪 Germany | 1979–1998 | 85.1 |
| 258 | Alessandro Nesta | Football | 🇮🇹 Italy | 1993–2014 | 85.0 |
| 259 | Paolo Rossi | Football | 🇮🇹 Italy | 1973–1987 | 85.0 |
| 260 | Dejan Savićević | Football | 🇲🇪 Montenegro | 1983–2001 | 85.0 |
| 261 | Gunnar Gren | Football | 🇸🇪 Sweden | 1938–1960 | 85.0 |
| 262 | Lorenzo Insigne | Football | 🇮🇹 Italy | 2009–active | 85.0 |
| 263 | Charmaine Hooper | Football | 🇨🇦 Canada | 1986–2006 | 85.0 |
| 264 | Garrincha | Football | 🇧🇷 Brazil | 1953–1972 | 84.9 |
| 265 | Roberto Baggio | Football | 🇮🇹 Italy | 1982–2004 | 84.9 |
| 266 | Samuel Eto'o | Football | 🇨🇲 Cameroon | 1997–2019 | 84.9 |
| 267 | John Charles | Football | 🏴 Wales | 1949–1974 | 84.9 |
| 268 | Clarence Seedorf | Football | 🇳🇱 Netherlands | 1992–2014 | 84.9 |
| 269 | Sócrates | Football | 🇧🇷 Brazil | 1974–1989 | 84.9 |
| 270 | Sara Däbritz | Football | 🇩🇪 Germany | 2012–active | 84.9 |
| 271 | Thomas Jürgen Häßler | Football | 🇩🇪 Germany | 1985–2004 | 84.9 |
| 272 | Ricardo Zamora | Football | 🇪🇸 Spain | 1916–1936 | 84.8 |
| 273 | Tony Adams | Football | 🏴 England | 1983–2002 | 84.8 |
| 274 | Alexander Isak | Football | 🇸🇪 Sweden | 2016–active | 84.8 |
| 275 | Olga Carmona | Football | 🇪🇸 Spain | 2017–active | 84.8 |
| 276 | Roger Hunt | Football | 🏴 England | 1958–1972 | 84.7 |
| 277 | Josef Masopust | Football | 🇨🇿 Czechia | 1950–1974 | 84.7 |
| 278 | Kate Markgraf | Football | 🇺🇸 United States | 1998–2010 | 84.7 |
| 279 | Antonio Rattín | Football | 🇦🇷 Argentina | 1956–1970 | 84.7 |
| 280 | Cafu | Football | 🇧🇷 Brazil | 1989–2008 | 84.6 |
| 281 | Miroslav Klose | Football | 🇩🇪 Germany | 1999–2016 | 84.6 |
| 282 | Sandro Mazzola | Football | 🇮🇹 Italy | 1960–1977 | 84.6 |
| 283 | Silvia Neid | Football | 🇩🇪 Germany | 1979–1996 | 84.6 |
| 284 | Amanda Ilestedt | Football | 🇸🇪 Sweden | 2011–active | 84.6 |
| 285 | Valentina Giacinti | Football | 🇮🇹 Italy | 2010–active | 84.6 |
| 286 | René Houseman | Football | 🇦🇷 Argentina | 1971–1985 | 84.6 |
| 287 | Alessandro Del Piero | Football | 🇮🇹 Italy | 1991–2014 | 84.5 |
| 288 | Delphine Cascarino | Football | 🇫🇷 France | 2014–active | 84.5 |
| 289 | Frank Lampard | Football | 🏴 United Kingdom | 1995–2017 | 84.4 |
| 290 | Neymar Jr | Football | 🇧🇷 Brazil | 2009–active | 84.4 |
| 291 | Philipp Lahm | Football | 🇩🇪 Germany | 2002–2017 | 84.4 |
| 292 | Laura Georges | Football | 🇫🇷 France | 2001–2018 | 84.4 |
| 293 | Erika Cristiano | Football | 🇧🇷 Brazil | 2006–active | 84.4 |
| 294 | Katia Cilene | Football | 🇧🇷 Brazil | 1995–2012 | 84.4 |
| 295 | Thomas Ravelli | Football | 🇸🇪 Sweden | 1976–1999 | 84.4 |
| 296 | Kylian Mbappé | Football | 🇫🇷 France | 2015–active | 84.3 |
| 297 | Uwe Seeler | Football | 🇩🇪 Germany | 1953–1972 | 84.3 |
| 298 | Irene Paredes | Football | 🇪🇸 Spain | 2008–active | 84.3 |
| 299 | Carlos Tévez | Football | 🇦🇷 Argentina | 2001–2022 | 84.3 |
| 300 | George Best | Football | 🇬🇧 Northern Ireland | 1963–1984 | 84.3 |
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.