- Sport
- Football
- Career
- 1993–2011
- Country
- 🇧🇷 Brazil
- Peak
- 97.0
- Dominance
- 93.0
- Statistics
- 94.0
- Honours
- 92.0
- Longevity
- 84.0
GOAT Rank · 121
This ranking is led by Ronaldo Nazário, Hege Riise and Rivaldo. GOAT Rank currently ranks 121 eligible Football players who debuted in the 1990s using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Ronaldo Nazário ranks #1 on this list with a GOAT Score of 92.0.
How the GOAT Score is calculated →| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 13 | Ronaldo Nazário | Football | 🇧🇷 Brazil | 1993–2011 | 92.0 |
| 20 | Hege Riise | Football | 🇳🇴 Norway | 1990–2004 | 91.4 |
| 22 | Rivaldo | Football | 🇧🇷 Brazil | 1991–2015 | 91.0 |
| 26 | Edwin van der Sar | Football | 🇳🇱 Netherlands | 1991–2011 | 90.8 |
| 32 | Patrizia Panico | Football | 🇮🇹 Italy | 1991–2016 | 90.0 |
| 40 | Tiffeny Milbrett | Football | 🇺🇸 United States | 1991–2006 | 89.6 |
| 42 | Fabien Barthez | Football | 🇫🇷 France | 1991–2007 | 89.6 |
| 45 | Inka Grings | Football | 🇩🇪 Germany | 1996–2013 | 89.5 |
| 47 | Nadine Angerer | Football | 🇩🇪 Germany | 1996–2015 | 89.4 |
| 56 | Gianluigi Buffon | Football | 🇮🇹 Italy | 1995–2023 | 89.0 |
| 59 | Andriy Shevchenko | Football | 🇺🇦 Ukraine | 1994–2012 | 88.9 |
| 60 | Sun Wen | Football | 🇨🇳 China | 1990–2006 | 88.9 |
| 69 | Camille Abily | Football | 🇫🇷 France | 1999–2018 | 88.8 |
| 70 | Renate Lingor | Football | 🇩🇪 Germany | 1991–2008 | 88.8 |
| 71 | Conny Pohlers | Football | 🇩🇪 Germany | 1996–2013 | 88.8 |
| 73 | Xavi Hernández | Football | 🇪🇸 Spain | 1998–2019 | 88.7 |
| 75 | Kelly Smith | Football | 🏴 England | 1994–2017 | 88.7 |
| 77 | Briana Scurry | Football | 🇺🇸 United States | 1994–2008 | 88.6 |
| 85 | Diego Forlán | Football | 🇺🇾 Uruguay | 1997–2019 | 88.4 |
| 89 | Petr Čech | Football | 🇨🇿 Czech Republic | 1999–2019 | 88.2 |
| 90 | Formiga | Football | 🇧🇷 Brazil | 1993–2022 | 88.2 |
| 97 | Dida | Football | 🇧🇷 Brazil | 1992–2015 | 88.0 |
| 98 | Ariane Hingst | Football | 🇩🇪 Germany | 1994–2011 | 88.0 |
| 106 | Marinette Pichon | Football | 🇫🇷 France | 1993–2010 | 87.7 |
| 110 | Fabio Cannavaro | Football | 🇮🇹 Italy | 1992–2011 | 87.6 |
| 113 | Henrik Larsson | Football | 🇸🇪 Sweden | 1992–2013 | 87.5 |
| 123 | Zlatan Ibrahimović | Football | 🇸🇪 Sweden | 1999–2023 | 87.3 |
| 126 | Hanna Ljungberg | Football | 🇸🇪 Sweden | 1996–2009 | 87.3 |
| 141 | Birgit Prinz | Football | 🇩🇪 Germany | 1993–2011 | 87.0 |
| 159 | Ronaldinho | Football | 🇧🇷 Brazil | 1998–2015 | 86.6 |
| 162 | Iker Casillas | Football | 🇪🇸 Spain | 1999–2020 | 86.5 |
| 166 | Gianluca Zambrotta | Football | 🇮🇹 Italy | 1994–2014 | 86.4 |
| 172 | Ryan Giggs | Football | 🏴 Wales | 1990–2014 | 86.2 |
| 178 | Victoria Svensson | Football | 🇸🇪 Sweden | 1996–2009 | 86.2 |
| 185 | Giovane Élber | Football | 🇧🇷 Brazil | 1990–2006 | 86.0 |
| 187 | Homare Sawa | Football | 🇯🇵 Japan | 1991–2015 | 85.9 |
| 189 | Steffi Jones | Football | 🇩🇪 Germany | 1993–2007 | 85.9 |
| 195 | Thierry Henry | Football | 🇫🇷 France | 1994–2014 | 85.8 |
| 200 | Therese Sjögran | Football | 🇸🇪 Sweden | 1997–2015 | 85.8 |
| 218 | Marco Materazzi | Football | 🇮🇹 Italy | 1993–2011 | 85.5 |
| 225 | Roberto Carlos | Football | 🇧🇷 Brazil | 1991–2015 | 85.4 |
| 228 | Filippo Inzaghi | Football | 🇮🇹 Italy | 1991–2012 | 85.4 |
| 233 | Raúl González | Football | 🇪🇸 Spain | 1994–2015 | 85.3 |
| 236 | Pavel Nedvěd | Football | 🇨🇿 Czech Republic | 1991–2009 | 85.3 |
| 244 | Claudio Pizarro | Football | 🇵🇪 Peru | 1996–2020 | 85.3 |
| 245 | Francesco Totti | Football | 🇮🇹 Italy | 1992–2017 | 85.2 |
| 251 | Andrea Pirlo | Football | 🇮🇹 Italy | 1995–2017 | 85.1 |
| 253 | Lilian Thuram | Football | 🇫🇷 France | 1991–2008 | 85.1 |
| 256 | Gro Espeseth | Football | 🇳🇴 Norway | 1990–2001 | 85.1 |
| 258 | Alessandro Nesta | Football | 🇮🇹 Italy | 1993–2014 | 85.0 |
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.