- Sport
- Athletics
- Career
- 2002–active
- Country
- 🇰🇪 Kenya
- Peak
- 94.0
- Dominance
- 92.0
- Statistics
- 93.0
- Honours
- 91.0
- Longevity
- 90.0
GOAT Rank · 24
Greatest Marathons of all time
This ranking is led by Eliud Kipchoge, Rosa Mota and Grete Waitz. GOAT Rank currently ranks 24 eligible Athletics marathons using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Eliud Kipchoge ranks #1 on this list with a GOAT Score of 92.0.
How the GOAT Score is calculated →#AthleteGOAT Score
- Sport
- Athletics
- Career
- 1975–1992
- Country
- 🇵🇹 Portugal
- Peak
- 92.0
- Dominance
- 88.0
- Statistics
- 88.0
- Honours
- 90.0
- Longevity
- 84.0
- Sport
- Athletics
- Career
- 1971–1990
- Country
- 🇳🇴 Norway
- Peak
- 92.0
- Dominance
- 88.0
- Statistics
- 90.0
- Honours
- 86.0
- Longevity
- 86.0
- Sport
- Athletics
- Career
- 1979–active
- Country
- 🇺🇸 United States
- Peak
- 94.0
- Dominance
- 86.0
- Statistics
- 88.0
- Honours
- 86.0
- Longevity
- 84.0
- Sport
- Athletics
- Career
- 2015–active
- Country
- 🇰🇪 Kenya
- Peak
- 96.0
- Dominance
- 88.0
- Statistics
- 90.0
- Honours
- 86.0
- Longevity
- 78.0
- Sport
- Athletics
- Career
- 1992–2015
- Country
- 🇬🇧 United Kingdom
- Peak
- 92.0
- Dominance
- 86.0
- Statistics
- 90.0
- Honours
- 80.0
- Longevity
- 84.0
- Sport
- Athletics
- Career
- 2016–active
- Country
- 🇰🇪 Kenya
- Peak
- 96.0
- Dominance
- 86.0
- Statistics
- 90.0
- Honours
- 84.0
- Longevity
- 76.0
- Sport
- Athletics
- Career
- 1956–1969
- Country
- 🇪🇹 Ethiopia
- Peak
- 94.0
- Dominance
- 90.0
- Statistics
- 86.0
- Honours
- 88.0
- Longevity
- 70.0
- Sport
- Athletics
- Career
- 1985–2002
- Country
- 🇪🇸 Spain
- Peak
- 90.0
- Dominance
- 82.0
- Statistics
- 86.0
- Honours
- 86.0
- Longevity
- 84.0
- Sport
- Athletics
- Career
- 1999–2012
- Country
- 🇯🇵 Japan
- Peak
- 94.0
- Dominance
- 84.0
- Statistics
- 88.0
- Honours
- 82.0
- Longevity
- 78.0
- Sport
- Athletics
- Career
- 1993–2009
- Country
- 🇮🇹 Italy
- Peak
- 90.0
- Dominance
- 82.0
- Statistics
- 84.0
- Honours
- 82.0
- Longevity
- 84.0
- Sport
- Athletics
- Career
- 1988–2008
- Country
- 🇰🇪 Kenya
- Peak
- 88.0
- Dominance
- 82.0
- Statistics
- 88.0
- Honours
- 80.0
- Longevity
- 84.0
- Sport
- Athletics
- Career
- 1989–2004
- Country
- 🇿🇦 South Africa
- Peak
- 94.0
- Dominance
- 82.0
- Statistics
- 84.0
- Honours
- 80.0
- Longevity
- 78.0
- Sport
- Athletics
- Career
- 2012–active
- Country
- 🇪🇹 Ethiopia
- Peak
- 96.0
- Dominance
- 86.0
- Statistics
- 92.0
- Honours
- 78.0
- Longevity
- 66.0
- Sport
- Athletics
- Career
- 2018–2024
- Country
- 🇰🇪 Kenya
- Peak
- 98.0
- Dominance
- 88.0
- Statistics
- 92.0
- Honours
- 78.0
- Longevity
- 60.0
- Sport
- Athletics
- Career
- 2010–2019
- Country
- 🇰🇪 Kenya
- Peak
- 90.0
- Dominance
- 82.0
- Statistics
- 84.0
- Honours
- 82.0
- Longevity
- 76.0
- Sport
- Athletics
- Career
- 1997–2008
- Country
- 🇯🇵 Japan
- Peak
- 92.0
- Dominance
- 80.0
- Statistics
- 82.0
- Honours
- 80.0
- Longevity
- 70.0
- Sport
- Athletics
- Career
- 2005–2010
- Country
- 🇰🇪 Kenya
- Peak
- 94.0
- Dominance
- 82.0
- Statistics
- 84.0
- Honours
- 80.0
- Longevity
- 62.0
- Sport
- Athletics
- Career
- 2011–2017
- Country
- 🇰🇪 Kenya
- Peak
- 92.0
- Dominance
- 80.0
- Statistics
- 84.0
- Honours
- 78.0
- Longevity
- 66.0
- Sport
- Athletics
- Career
- 2008–2016
- Country
- 🇰🇪 Kenya
- Peak
- 90.0
- Dominance
- 78.0
- Statistics
- 82.0
- Honours
- 74.0
- Longevity
- 70.0
- Sport
- Athletics
- Career
- 2005–2014
- Country
- 🇨🇳 China
- Peak
- 90.0
- Dominance
- 74.0
- Statistics
- 78.0
- Honours
- 80.0
- Longevity
- 66.0
- Sport
- Athletics
- Career
- 1976–1990
- Country
- 🇪🇹 Ethiopia
- Peak
- 84.0
- Dominance
- 70.0
- Statistics
- 76.0
- Honours
- 74.0
- Longevity
- 80.0
- Sport
- Athletics
- Career
- 1990–1998
- Country
- 🇯🇵 Japan
- Peak
- 88.0
- Dominance
- 72.0
- Statistics
- 76.0
- Honours
- 78.0
- Longevity
- 64.0
- Sport
- Athletics
- Career
- 2016–active
- Country
- 🇮🇹 Italy
- Peak
- 86.0
- Dominance
- 70.0
- Statistics
- 78.0
- Honours
- 74.0
- Longevity
- 68.0
| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 6 | Eliud Kipchoge | Athletics | 🇰🇪 Kenya | 2002–active | 92.0 |
| 45 | Rosa Mota | Athletics | 🇵🇹 Portugal | 1975–1992 | 88.4 |
| 49 | Grete Waitz | Athletics | 🇳🇴 Norway | 1971–1990 | 88.3 |
| 62 | Joan Benoit Samuelson | Athletics | 🇺🇸 United States | 1979–active | 87.5 |
| 63 | Brigid Kosgei | Athletics | 🇰🇪 Kenya | 2015–active | 87.5 |
| 95 | Paula Radcliffe | Athletics | 🇬🇧 United Kingdom | 1992–2015 | 86.2 |
| 96 | Ruth Chepngetich | Athletics | 🇰🇪 Kenya | 2016–active | 86.2 |
| 103 | Abebe Bikila | Athletics | 🇪🇹 Ethiopia | 1956–1969 | 85.8 |
| 118 | Abel Antón | Athletics | 🇪🇸 Spain | 1985–2002 | 85.4 |
| 125 | Mizuki Noguchi | Athletics | 🇯🇵 Japan | 1999–2012 | 85.0 |
| 140 | Stefano Baldini | Athletics | 🇮🇹 Italy | 1993–2009 | 84.3 |
| 144 | Tegla Loroupe | Athletics | 🇰🇪 Kenya | 1988–2008 | 84.1 |
| 162 | Josia Thugwane | Athletics | 🇿🇦 South Africa | 1989–2004 | 83.5 |
| 166 | Tigst Assefa | Athletics | 🇪🇹 Ethiopia | 2012–active | 83.3 |
| 176 | Kelvin Kiptum | Athletics | 🇰🇪 Kenya | 2018–2024 | 83.0 |
| 185 | Wilson Kipsang | Athletics | 🇰🇪 Kenya | 2010–2019 | 82.7 |
| 232 | Naoko Takahashi | Athletics | 🇯🇵 Japan | 1997–2008 | 80.7 |
| 237 | Sammy Wanjiru | Athletics | 🇰🇪 Kenya | 2005–2010 | 80.3 |
| 242 | Dennis Kimetto | Athletics | 🇰🇪 Kenya | 2011–2017 | 79.8 |
| 260 | Patrick Makau | Athletics | 🇰🇪 Kenya | 2008–2016 | 78.6 |
| 270 | Bai Xue | Athletics | 🇨🇳 China | 2005–2014 | 77.4 |
| 277 | Kebede Balcha | Athletics | 🇪🇹 Ethiopia | 1976–1990 | 76.5 |
| 281 | Junko Asari | Athletics | 🇯🇵 Japan | 1990–1998 | 75.4 |
| 285 | Iliass Aouani | Athletics | 🇮🇹 Italy | 2016–active | 74.8 |
Compare the leaders
Eliud Kipchoge vs Rosa MotaRead the full methodology
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 methodologyFrequently asked questions
How is this ranking calculated?
Five verified components are weighted consistently: dominance, peak, longevity, honours and statistics.
Who is included?
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.
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