- Sport
- Football
- Career
- 2004–2023
- Country
- 🇪🇸 Spain
- Peak
- 88.0
- Dominance
- 86.0
- Statistics
- 85.0
- Honours
- 92.0
- Longevity
- 85.0
GOAT Rank · 469
This ranking is led by Bobby Moore, Pelé and Giacinto Facchetti. GOAT Rank currently ranks 469 eligible Football players using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Bobby Moore ranks #1 on this list with a GOAT Score of 94.6.
How the GOAT Score is calculated →| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 127 | Cesc Fàbregas | Football | 🇪🇸 Spain | 2004–2023 | 87.3 |
| 129 | Giuseppe Meazza | Football | 🇮🇹 Italy | 1927–1947 | 87.2 |
| 130 | Dino Zoff | Football | 🇮🇹 Italy | 1961–1983 | 87.2 |
| 131 | Johan Neeskens | Football | 🇳🇱 Netherlands | 1968–1991 | 87.2 |
| 132 | Andrea Barzagli | Football | 🇮🇹 Italy | 2000–2019 | 87.2 |
| 134 | Brandi Chastain | Football | 🇺🇸 United States | 1988–2010 | 87.2 |
| 135 | Julie Ertz | Football | 🇺🇸 United States | 2013–2023 | 87.2 |
| 136 | Ivo Viktor | Football | 🇨🇿 Czech Republic | 1964–1977 | 87.2 |
| 137 | Thomaz Soares da Silva | Football | 🇧🇷 Brazil | 1940–1958 | 87.2 |
| 138 | Franck Ribéry | Football | 🇫🇷 France | 2000–2022 | 87.1 |
| 139 | Angelo Peruzzi | Football | 🇮🇹 Italy | 1988–2007 | 87.1 |
| 140 | Gianluca Vialli | Football | 🇮🇹 Italy | 1981–1999 | 87.1 |
| 141 | Birgit Prinz | Football | 🇩🇪 Germany | 1993–2011 | 87.0 |
| 142 | Toni Kroos | Football | 🇩🇪 Germany | 2007–2024 | 87.0 |
| 143 | Kaká | Football | 🇧🇷 Brazil | 2001–2017 | 87.0 |
| 146 | Heather O'Reilly | Football | 🇺🇸 United States | 2002–2019 | 86.9 |
| 147 | Kelley O'Hara | Football | 🇺🇸 United States | 2010–2024 | 86.9 |
| 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 |
| 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 |
| 168 | Sonia Bermúdez | Football | 🇪🇸 Spain | 2002–2021 | 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 |
| 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 |
| 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 |
| 192 | Sara Gama | Football | 🇮🇹 Italy | 2006–2024 | 85.9 |
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.