- Sport
- Formula 1
- Career
- 1972–1980
- Country
- 🇫🇷 France
- Peak
- 82.0
- Dominance
- 66.0
- Statistics
- 78.0
- Honours
- 62.0
- Longevity
- 70.0
GOAT Rank · 3071
This ranking uses verified career records and GOAT Rank's published model. Every listed athlete clears the data eligibility threshold.
| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 3932 | Patrick Depailler | Formula 1 | 🇫🇷 France | 1972–1980 | 64.5 |
| 3933 | Timo Boll | Table Tennis | 🇩🇪 Germany | 1995–2024 | 68.0 |
| 3934 | Dimitrij Ovtcharov | Table Tennis | 🇩🇪 Germany | 2003–— | 67.3 |
| 3935 | Nelson Piquet Jr | Formula 1 | 🇧🇷 Brazil | 2008–2009 | 63.9 |
| 3936 | Andrea de Cesaris | Formula 1 | 🇮🇹 Italy | 1980–1994 | 67.2 |
| 3937 | Benedikt Duda | Table Tennis | 🇩🇪 Germany | 2013–— | 66.5 |
| 3938 | Olof "olofmeister" Kajbjer | Esports | 🇸🇪 Sweden | 2012–2023 | 65.8 |
| 3939 | Carlos Pace | Formula 1 | 🇧🇷 Brazil | 1972–1977 | 62.1 |
| 3940 | Jaryd "summit1g" Lazar | Esports | 🇺🇸 United States | 2011–2016 | 65.8 |
| 3941 | Kilian Ort | Table Tennis | 🇩🇪 Germany | 2012–— | 66.1 |
| 3943 | Kamui Kobayashi | Formula 1 | 🇯🇵 Japan | 2009–2014 | 64.1 |
| 3944 | Jackie Oliver | Formula 1 | 🇬🇧 United Kingdom | 1967–1977 | 64.7 |
| 3945 | Jean-Pierre Jabouille | Formula 1 | 🇫🇷 France | 1974–1981 | 62.6 |
| 3946 | Innes Ireland | Formula 1 | 🇬🇧 United Kingdom | 1959–1966 | 63.0 |
| 3947 | Daniel Ricciardo | Formula 1 | 🇦🇺 Australia | 2011–2024 | 64.3 |
| 3948 | Heikki Kovalainen | Formula 1 | 🇫🇮 Finland | 2007–2013 | 62.9 |
| 3949 | Ludovico Scarfiotti | Formula 1 | 🇮🇹 Italy | 1963–1968 | 61.0 |
| 3950 | Peter Karlsson | Table Tennis | 🇸🇪 Sweden | 1984–2009 | 65.5 |
| 3951 | Alexander Albon | Formula 1 | 🇹🇭 Thailand | 2019–— | 62.5 |
| 3952 | Christijan Albers | Formula 1 | 🇳🇱 Netherlands | 1997–2014 | 65.0 |
| 3953 | Jos Verstappen | Formula 1 | 🇳🇱 Netherlands | 1994–2003 | 63.4 |
| 3954 | Vitantonio Liuzzi | Formula 1 | 🇮🇹 Italy | 2005–2011 | 63.4 |
| 3955 | Alessandro Nannini | Formula 1 | 🇮🇹 Italy | 1986–1990 | 60.1 |
| 3957 | Daniil Kvyat | Formula 1 | 🇷🇺 Russia | 2014–2020 | 61.7 |
| 3958 | Timo Glock | Formula 1 | 🇩🇪 Germany | 2004–2012 | 60.9 |
| 3959 | Trevor Taylor | Formula 1 | 🇬🇧 United Kingdom | 1959–1966 | 61.5 |
| 3960 | Vittorio Brambilla | Formula 1 | 🇮🇹 Italy | 1974–1980 | 60.1 |
| 3961 | Adrian Sutil | Formula 1 | 🇩🇪 Germany | 2007–2014 | 61.5 |
| 3962 | Yuki Tsunoda | Formula 1 | 🇯🇵 Japan | 2021–— | 60.0 |
| 3963 | Pastor Maldonado | Formula 1 | 🇻🇪 Venezuela | 2011–2015 | 58.8 |
| 3964 | Tom Pryce | Formula 1 | 🇬🇧 United Kingdom | 1974–1977 | 57.6 |
| 3966 | Antônio Pizzonia | Formula 1 | 🇧🇷 Brazil | 2003–2005 | 59.2 |
| 3967 | Ronnie Peterson | Formula 1 | 🇸🇪 Sweden | 1970–1978 | 56.8 |
| 3968 | Zsolt Baumgartner | Formula 1 | 🇭🇺 Hungary | 1997–2008 | 60.8 |
| 3969 | Jolyon Palmer | Formula 1 | 🇬🇧 United Kingdom | 2016–2017 | 58.8 |
| 3970 | shox | Esports | 🇫🇷 France | 2011–— | 61.5 |
| 3971 | Bruno Senna | Formula 1 | 🇧🇷 Brazil | 2010–2012 | 58.1 |
| 3972 | Alex Norén | Golf | 🇸🇪 Sweden | 2005–— | 58.9 |
| 3973 | Truls Möregårdh | Table Tennis | 🇸🇪 Sweden | 2017–— | 57.1 |
| 3974 | Zhou Guanyu | Formula 1 | 🇨🇳 China | 2022–— | 56.6 |
| 3975 | Jaime Alguersuari | Formula 1 | 🇪🇸 Spain | 2009–2015 | 56.2 |
| 3976 | Tomokazu Harimoto | Table Tennis | 🇯🇵 Japan | 2016–— | 54.5 |
| 3977 | Oliver Bearman | Formula 1 | 🇬🇧 United Kingdom | 2024–— | 53.3 |
| 3978 | Oscar Piastri | Formula 1 | 🇦🇺 Australia | 2023–— | 50.8 |
| 3979 | Patrik Andersson | Football | 🇸🇪 Sweden | 1989–2004 | 48.3 |
| 3980 | Ludvig Åberg | Golf | 🇸🇪 Sweden | 2023–— | 50.3 |
| 3981 | Liam Lawson | Formula 1 | 🇳🇿 New Zealand | 2019–— | 54.2 |
| 3982 | Ralph Firman | Formula 1 | 🇮🇪 Ireland | 1993–2009 | 55.3 |
| 3983 | Franco Colapinto | Formula 1 | 🇦🇷 Argentina | 2024–— | 51.5 |
| 3984 | Jesper Parnevik | Golf | 🇸🇪 Sweden | 1986–2019 | 51.9 |
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.
Only verified athletes with sufficient career history, metrics, honours and independent sources are eligible.