- Sport
- Football
- Career
- 1979–1999
- Country
- 🇮🇹 Italy
- Peak
- 90.0
- Dominance
- 85.0
- Statistics
- 86.0
- Honours
- 80.0
- Longevity
- 88.0
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 |
|---|---|---|---|---|---|
| 201 | Walter Zenga | Football | 🇮🇹 Italy | 1979–1999 | 85.8 |
| 202 | Kevin De Bruyne | Football | 🇧🇪 Belgium | 2008–active | 85.7 |
| 203 | Fernando Torres | Football | 🇪🇸 Spain | 2001–2019 | 85.7 |
| 204 | Doris Fitschen | Football | 🇩🇪 Germany | 1986–2001 | 85.7 |
| 205 | Chloe Kelly | Football | 🏴 England | 2015–active | 85.7 |
| 206 | Giampiero Boniperti | Football | 🇮🇹 Italy | 1946–1961 | 85.6 |
| 207 | Neville Southall | Football | 🏴 Wales | 1980–2002 | 85.6 |
| 208 | Denis Law | Football | 🏴 Scotland | 1956–1974 | 85.6 |
| 209 | Julián Álvarez | Football | 🇦🇷 Argentina | 2018–active | 85.6 |
| 210 | Robert Prosinečki | Football | 🇭🇷 Croatia | 1986–2004 | 85.6 |
| 211 | Sonny Anderson | Football | 🇧🇷 Brazil | 1988–2006 | 85.6 |
| 212 | Igor Belanov | Football | 🇺🇦 Ukraine | 1979–1995 | 85.6 |
| 213 | Barbara Bonansea | Football | 🇮🇹 Italy | 2008–active | 85.6 |
| 214 | Virgil van Dijk | Football | 🇳🇱 Netherlands | 2011–active | 85.6 |
| 215 | Bebeto | Football | 🇧🇷 Brazil | 1983–2002 | 85.5 |
| 216 | Bixente Lizarazu | Football | 🇫🇷 France | 1988–2006 | 85.5 |
| 217 | Kurt Hamrin | Football | 🇸🇪 Sweden | 1952–1971 | 85.5 |
| 218 | Marco Materazzi | Football | 🇮🇹 Italy | 1993–2011 | 85.5 |
| 219 | Fabinho | Football | 🇧🇷 Brazil | 2012–active | 85.5 |
| 220 | Viktor Gyökeres | Football | 🇸🇪 Sweden | 2016–active | 85.5 |
| 221 | Jill Scott | Football | 🏴 England | 2006–2022 | 85.5 |
| 222 | Lisa De Vanna | Football | 🇦🇺 Australia | 2004–2021 | 85.5 |
| 223 | Svenja Huth | Football | 🇩🇪 Germany | 2008–2024 | 85.5 |
| 224 | Franco Baresi | Football | 🇮🇹 Italy | 1977–1997 | 85.4 |
| 225 | Roberto Carlos | Football | 🇧🇷 Brazil | 1991–2015 | 85.4 |
| 226 | Gianni Rivera | Football | 🇮🇹 Italy | 1959–1979 | 85.4 |
| 227 | Kevin Keegan | Football | 🏴 England | 1968–1984 | 85.4 |
| 228 | Filippo Inzaghi | Football | 🇮🇹 Italy | 1991–2012 | 85.4 |
| 229 | Kadidiatou Diani | Football | 🇫🇷 France | 2012–active | 85.4 |
| 230 | Melanie Behringer | Football | 🇩🇪 Germany | 2005–2017 | 85.4 |
| 231 | Edin Džeko | Football | 🇧🇦 Bosnia and Herzegovina | 2004–active | 85.4 |
| 232 | Giancarlo Antognoni | Football | 🇮🇹 Italy | 1971–1989 | 85.4 |
| 233 | Raúl González | Football | 🇪🇸 Spain | 1994–2015 | 85.3 |
| 234 | Graeme Souness | Football | 🏴 Scotland | 1970–1991 | 85.3 |
| 235 | Gordon Banks | Football | 🏴 England | 1958–1978 | 85.3 |
| 236 | Pavel Nedvěd | Football | 🇨🇿 Czech Republic | 1991–2009 | 85.3 |
| 237 | Amel Majri | Football | 🇫🇷 France | 2011–active | 85.3 |
| 238 | Lea Schüller | Football | 🇩🇪 Germany | 2015–active | 85.3 |
| 239 | Amy Rodriguez | Football | 🇺🇸 United States | 2005–2022 | 85.3 |
| 240 | Vicky Losada | Football | 🇪🇸 Spain | 2007–active | 85.3 |
| 241 | Claudia Pina | Football | 🇪🇸 Spain | 2019–active | 85.3 |
| 242 | Fatmire Alushi | Football | 🇩🇪 Germany | 2004–2017 | 85.3 |
| 243 | Ella Toone | Football | 🏴 England | 2017–active | 85.3 |
| 244 | Claudio Pizarro | Football | 🇵🇪 Peru | 1996–2020 | 85.3 |
| 245 | Francesco Totti | Football | 🇮🇹 Italy | 1992–2017 | 85.2 |
| 246 | Carlos Bianchi | Football | 🇦🇷 Argentina | 1967–1984 | 85.2 |
| 247 | Jan Oblak | Football | 🇸🇮 Slovenia | 2009–active | 85.2 |
| 248 | Rudi Völler | Football | 🇩🇪 Germany | 1980–1996 | 85.2 |
| 249 | Ivan Perišić | Football | 🇭🇷 Croatia | 2009–active | 85.2 |
| 250 | Lautaro Martínez | Football | 🇦🇷 Argentina | 2015–active | 85.2 |
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.