- Sport
- Football
- Career
- 1958–1977
- Country
- 🏴 England
- Peak
- 96.0
- Dominance
- 95.0
- Statistics
- 91.0
- Honours
- 96.0
- Longevity
- 94.0
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 |
|---|---|---|---|---|---|
| 4 | Bobby Moore | Football | 🏴 England | 1958–1977 | 94.6 |
| 5 | Pelé | Football | 🇧🇷 Brazil | 1956–1977 | 94.2 |
| 6 | Giacinto Facchetti | Football | 🇮🇹 Italy | 1960–1978 | 94.0 |
| 7 | Luis Suárez Miramontes | Football | 🇪🇸 Spain | 1953–1973 | 93.3 |
| 8 | Johan Cruyff | Football | 🇳🇱 Netherlands | 1964–1984 | 92.9 |
| 9 | Alfredo Di Stéfano | Football | 🇦🇷 Argentina | 1945–1966 | 92.9 |
| 10 | Franz Beckenbauer | Football | 🇩🇪 Germany | 1964–1983 | 92.6 |
| 11 | Ángel Labruna | Football | 🇦🇷 Argentina | 1939–1961 | 92.1 |
| 12 | Diego Maradona | Football | 🇦🇷 Argentina | 1976–1997 | 92.0 |
| 13 | Ronaldo Nazário | Football | 🇧🇷 Brazil | 1993–2011 | 92.0 |
| 14 | Kristine Lilly | Football | 🇺🇸 United States | 1987–2010 | 92.0 |
| 16 | Ferenc Puskás | Football | 🇭🇺 Hungary | 1943–1966 | 91.8 |
| 17 | Dragan Džajić | Football | 🇷🇸 Serbia | 1963–1978 | 91.6 |
| 18 | Mia Hamm | Football | 🇺🇸 United States | 1987–2004 | 91.4 |
| 19 | Kenny Dalglish | Football | 🏴 Scotland | 1969–1990 | 91.4 |
| 20 | Hege Riise | Football | 🇳🇴 Norway | 1990–2004 | 91.4 |
| 21 | Juan Alberto Schiaffino | Football | 🇺🇾 Uruguay | 1946–1962 | 91.2 |
| 22 | Rivaldo | Football | 🇧🇷 Brazil | 1991–2015 | 91.0 |
| 23 | Lev Yashin | Football | 🇷🇺 Russia | 1950–1971 | 90.9 |
| 24 | Zico | Football | 🇧🇷 Brazil | 1971–1994 | 90.9 |
| 25 | Betty Vignotto | Football | 🇮🇹 Italy | 1970–1990 | 90.9 |
| 26 | Edwin van der Sar | Football | 🇳🇱 Netherlands | 1991–2011 | 90.8 |
| 27 | Zinedine Zidane | Football | 🇫🇷 France | 1989–2006 | 90.6 |
| 28 | Carli Lloyd | Football | 🇺🇸 United States | 2005–2021 | 90.5 |
| 29 | Ricardo Bochini | Football | 🇦🇷 Argentina | 1972–1991 | 90.2 |
| 30 | Romário | Football | 🇧🇷 Brazil | 1985–2009 | 90.1 |
| 32 | Patrizia Panico | Football | 🇮🇹 Italy | 1991–2016 | 90.0 |
| 33 | Bobby Charlton | Football | 🏴 England | 1956–1975 | 89.9 |
| 36 | Xabi Alonso | Football | 🇪🇸 Spain | 2000–2017 | 89.8 |
| 37 | Yaya Touré | Football | 🇨🇮 Ivory Coast | 2002–2020 | 89.8 |
| 39 | Christine Sinclair | Football | 🇨🇦 Canada | 2000–2023 | 89.7 |
| 40 | Tiffeny Milbrett | Football | 🇺🇸 United States | 1991–2006 | 89.6 |
| 41 | Joy Fawcett | Football | 🇺🇸 United States | 1987–2004 | 89.6 |
| 42 | Fabien Barthez | Football | 🇫🇷 France | 1991–2007 | 89.6 |
| 43 | Ian Rush | Football | 🏴 Wales | 1979–1999 | 89.5 |
| 44 | Megan Rapinoe | Football | 🇺🇸 United States | 2006–2023 | 89.5 |
| 45 | Inka Grings | Football | 🇩🇪 Germany | 1996–2013 | 89.5 |
| 47 | Nadine Angerer | Football | 🇩🇪 Germany | 1996–2015 | 89.4 |
| 48 | Gerd Müller | Football | 🇩🇪 Germany | 1963–1981 | 89.3 |
| 49 | Julie Foudy | Football | 🇺🇸 United States | 1987–2004 | 89.2 |
| 51 | Perpetua Nkwocha | Football | 🇳🇬 Nigeria | 2000–2016 | 89.2 |
| 52 | Antonio Cabrini | Football | 🇮🇹 Italy | 1974–1991 | 89.2 |
| 54 | Enzo Francescoli | Football | 🇺🇾 Uruguay | 1980–1997 | 89.1 |
| 56 | Gianluigi Buffon | Football | 🇮🇹 Italy | 1995–2023 | 89.0 |
| 57 | Michelle Akers | Football | 🇺🇸 United States | 1985–2000 | 89.0 |
| 58 | Linda Medalen | Football | 🇳🇴 Norway | 1987–2001 | 89.0 |
| 59 | Andriy Shevchenko | Football | 🇺🇦 Ukraine | 1994–2012 | 88.9 |
| 60 | Sun Wen | Football | 🇨🇳 China | 1990–2006 | 88.9 |
| 61 | Raphaël Varane | Football | 🇫🇷 France | 2010–2024 | 88.9 |
| 62 | Norberto Méndez | Football | 🇦🇷 Argentina | 1941–1958 | 88.9 |
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.