- Sport
- Football
- Career
- 2016–active
- Country
- 🇸🇪 Sweden
- Peak
- 93.0
- Dominance
- 86.0
- Statistics
- 92.0
- Honours
- 84.0
- Longevity
- 74.0
GOAT Rank · 205
This ranking is led by Lionel Messi, Cristiano Ronaldo and Marta Vieira da Silva. GOAT Rank currently ranks 205 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 |
|---|---|---|---|---|---|
| 220 | Viktor Gyökeres | Football | 🇸🇪 Sweden | 2016–active | 85.5 |
| 229 | Kadidiatou Diani | Football | 🇫🇷 France | 2012–active | 85.4 |
| 231 | Edin Džeko | Football | 🇧🇦 Bosnia and Herzegovina | 2004–active | 85.4 |
| 237 | Amel Majri | Football | 🇫🇷 France | 2011–active | 85.3 |
| 238 | Lea Schüller | Football | 🇩🇪 Germany | 2015–active | 85.3 |
| 240 | Vicky Losada | Football | 🇪🇸 Spain | 2007–active | 85.3 |
| 241 | Claudia Pina | Football | 🇪🇸 Spain | 2019–active | 85.3 |
| 243 | Ella Toone | Football | 🏴 England | 2017–active | 85.3 |
| 247 | Jan Oblak | Football | 🇸🇮 Slovenia | 2009–active | 85.2 |
| 249 | Ivan Perišić | Football | 🇭🇷 Croatia | 2009–active | 85.2 |
| 250 | Lautaro Martínez | Football | 🇦🇷 Argentina | 2015–active | 85.2 |
| 252 | Sergio Busquets | Football | 🇪🇸 Spain | 2008–active | 85.1 |
| 262 | Lorenzo Insigne | Football | 🇮🇹 Italy | 2009–active | 85.0 |
| 270 | Sara Däbritz | Football | 🇩🇪 Germany | 2012–active | 84.9 |
| 274 | Alexander Isak | Football | 🇸🇪 Sweden | 2016–active | 84.8 |
| 275 | Olga Carmona | Football | 🇪🇸 Spain | 2017–active | 84.8 |
| 284 | Amanda Ilestedt | Football | 🇸🇪 Sweden | 2011–active | 84.6 |
| 285 | Valentina Giacinti | Football | 🇮🇹 Italy | 2010–active | 84.6 |
| 288 | Delphine Cascarino | Football | 🇫🇷 France | 2014–active | 84.5 |
| 290 | Neymar Jr | Football | 🇧🇷 Brazil | 2009–active | 84.4 |
| 293 | Erika Cristiano | Football | 🇧🇷 Brazil | 2006–active | 84.4 |
| 296 | Kylian Mbappé | Football | 🇫🇷 France | 2015–active | 84.3 |
| 298 | Irene Paredes | Football | 🇪🇸 Spain | 2008–active | 84.3 |
| 301 | Alba Redondo | Football | 🇪🇸 Spain | 2013–active | 84.3 |
| 303 | Marta Torrejón | Football | 🇪🇸 Spain | 2005–active | 84.2 |
| 311 | Thiago Silva | Football | 🇧🇷 Brazil | 2004–active | 84.1 |
| 312 | Jennifer Hermoso | Football | 🇪🇸 Spain | 2008–active | 84.1 |
| 315 | Sofia Jakobsson | Football | 🇸🇪 Sweden | 2007–active | 84.1 |
| 316 | Kerolin Nicoli | Football | 🇧🇷 Brazil | 2017–active | 84.1 |
| 319 | Mohamed Salah | Football | 🇪🇬 Egypt | 2010–active | 84.0 |
| 324 | Enzo Fernández | Football | 🇦🇷 Argentina | 2019–active | 84.0 |
| 326 | Kheira Hamraoui | Football | 🇫🇷 France | 2007–active | 84.0 |
| 333 | Edinson Cavani | Football | 🇺🇾 Uruguay | 2006–active | 83.8 |
| 340 | Manuela Giugliano | Football | 🇮🇹 Italy | 2013–active | 83.7 |
| 341 | Sakina Karchaoui | Football | 🇫🇷 France | 2013–active | 83.7 |
| 343 | Antonio Rüdiger | Football | 🇩🇪 Germany | 2012–active | 83.7 |
| 346 | Grace Geyoro | Football | 🇫🇷 France | 2014–active | 83.6 |
| 347 | Cecilia Salvai | Football | 🇮🇹 Italy | 2010–active | 83.6 |
| 350 | Marc-André ter Stegen | Football | 🇩🇪 Germany | 2011–active | 83.6 |
| 355 | Lucas Hernández | Football | 🇫🇷 France | 2014–active | 83.5 |
| 356 | Kalidou Koulibaly | Football | 🇸🇳 Senegal | 2010–active | 83.5 |
| 360 | Lena Oberdorf | Football | 🇩🇪 Germany | 2018–active | 83.4 |
| 362 | Jude Bellingham | Football | 🏴 England | 2019–active | 83.4 |
| 363 | Asisat Oshoala | Football | 🇳🇬 Nigeria | 2013–active | 83.3 |
| 365 | Bernardo Silva | Football | 🇵🇹 Portugal | 2013–active | 83.3 |
| 369 | Emil Forsberg | Football | 🇸🇪 Sweden | 2010–active | 83.3 |
| 371 | Giulia Gwinn | Football | 🇩🇪 Germany | 2016–active | 83.3 |
| 374 | Arturo Vidal | Football | 🇨🇱 Chile | 2006–active | 83.2 |
| 377 | Caroline Graham Hansen | Football | 🇳🇴 Norway | 2010–active | 83.1 |
| 384 | Emiliano Martínez | Football | 🇦🇷 Argentina | 2012–active | 83.1 |
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.