- Sport
- Football
- Career
- 1969–1987
- Country
- 🇫🇷 France
- Peak
- 90.0
- Dominance
- 84.0
- Statistics
- 92.0
- Honours
- 84.0
- 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 |
|---|---|---|---|---|---|
| 151 | Bernard Lacombe | Football | 🇫🇷 France | 1969–1987 | 86.8 |
| 152 | Hans Krankl | Football | 🇦🇹 Austria | 1971–1989 | 86.8 |
| 153 | Marco van Basten | Football | 🇳🇱 Netherlands | 1981–1995 | 86.7 |
| 154 | Fritz Walter | Football | 🇩🇪 Germany | 1937–1959 | 86.7 |
| 155 | Paulo Dybala | Football | 🇦🇷 Argentina | 2011–active | 86.7 |
| 156 | Debinha | Football | 🇧🇷 Brazil | 2009–active | 86.7 |
| 157 | Sandra Paños | Football | 🇪🇸 Spain | 2010–active | 86.7 |
| 158 | Esther González | Football | 🇪🇸 Spain | 2011–active | 86.7 |
| 159 | Ronaldinho | Football | 🇧🇷 Brazil | 1998–2015 | 86.6 |
| 160 | Gunnar Nordahl | Football | 🇸🇪 Sweden | 1940–1958 | 86.6 |
| 161 | Dixie Dean | Football | 🏴 England | 1923–1939 | 86.6 |
| 162 | Iker Casillas | Football | 🇪🇸 Spain | 1999–2020 | 86.5 |
| 163 | Gerard Piqué | Football | 🇪🇸 Spain | 2005–2023 | 86.5 |
| 164 | Raymond Kopa | Football | 🇫🇷 France | 1949–1967 | 86.4 |
| 165 | Célia Šašić | Football | 🇩🇪 Germany | 2005–2015 | 86.4 |
| 166 | Gianluca Zambrotta | Football | 🇮🇹 Italy | 1994–2014 | 86.4 |
| 167 | Griedge Mbock | Football | 🇫🇷 France | 2012–active | 86.4 |
| 168 | Sonia Bermúdez | Football | 🇪🇸 Spain | 2002–2021 | 86.4 |
| 169 | İlkay Gündoğan | Football | 🇩🇪 Germany | 2009–active | 86.4 |
| 170 | Harald Schumacher | Football | 🇩🇪 Germany | 1974–1992 | 86.3 |
| 171 | Víctor Valdés | Football | 🇪🇸 Spain | 2003–2017 | 86.3 |
| 172 | Ryan Giggs | Football | 🏴 Wales | 1990–2014 | 86.2 |
| 173 | Thomas Müller | Football | 🇩🇪 Germany | 2008–active | 86.2 |
| 174 | Arjen Robben | Football | 🇳🇱 Netherlands | 2000–2021 | 86.2 |
| 175 | Alex Morgan | Football | 🇺🇸 United States | 2010–2024 | 86.2 |
| 176 | Hristo Stoichkov | Football | 🇧🇬 Bulgaria | 1984–2003 | 86.2 |
| 177 | Sissi Oliveira | Football | 🇧🇷 Brazil | 1988–2008 | 86.2 |
| 178 | Victoria Svensson | Football | 🇸🇪 Sweden | 1996–2009 | 86.2 |
| 179 | Amancio Amaro | Football | 🇪🇸 Spain | 1959–1976 | 86.2 |
| 180 | Vivianne Miedema | Football | 🇳🇱 Netherlands | 2013–active | 86.1 |
| 181 | Gheorghe Hagi | Football | 🇷🇴 Romania | 1982–2001 | 86.1 |
| 182 | Shannon Boxx | Football | 🇺🇸 United States | 2003–2015 | 86.1 |
| 183 | Lena Goeßling | Football | 🇩🇪 Germany | 2004–2021 | 86.1 |
| 184 | Roger Milla | Football | 🇨🇲 Cameroon | 1970–1996 | 86.0 |
| 185 | Giovane Élber | Football | 🇧🇷 Brazil | 1990–2006 | 86.0 |
| 186 | Rainer Bonhof | Football | 🇩🇪 Germany | 1970–1983 | 86.0 |
| 187 | Homare Sawa | Football | 🇯🇵 Japan | 1991–2015 | 85.9 |
| 188 | Nils Liedholm | Football | 🇸🇪 Sweden | 1946–1961 | 85.9 |
| 189 | Steffi Jones | Football | 🇩🇪 Germany | 1993–2007 | 85.9 |
| 190 | Almuth Schult | Football | 🇩🇪 Germany | 2009–2024 | 85.9 |
| 191 | Rose Lavelle | Football | 🇺🇸 United States | 2017–active | 85.9 |
| 192 | Sara Gama | Football | 🇮🇹 Italy | 2006–2024 | 85.9 |
| 193 | Nadia Nadim | Football | 🇩🇰 Denmark | 2005–active | 85.9 |
| 194 | Vinícius Júnior | Football | 🇧🇷 Brazil | 2017–active | 85.9 |
| 195 | Thierry Henry | Football | 🇫🇷 France | 1994–2014 | 85.8 |
| 196 | Giorgio Chiellini | Football | 🇮🇹 Italy | 2000–2023 | 85.8 |
| 197 | Alan Hansen | Football | 🏴 Scotland | 1973–1991 | 85.8 |
| 198 | Phil Neal | Football | 🏴 England | 1968–1989 | 85.8 |
| 199 | Hope Solo | Football | 🇺🇸 United States | 2000–2016 | 85.8 |
| 200 | Therese Sjögran | Football | 🇸🇪 Sweden | 1997–2015 | 85.8 |
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.