Atlantic Beach, FL, United States · Saturday, December 12, 2026
Daytona 100 - 50 Km Ultra
Calculated from 50 km alone — the organiser has not published an elevation profile. Read 2.5 as a floor, not a verdict.
What the course asks
DUV results for the 2025 edition (50km) — finishers only. Starters are not published, so the field was at least this big and no finish rate can be given.
Typical conditions, December
Regional 2001-2020 average for December — NASA POWER, grid elevation 1 m. Not a forecast.
Results history
| Year | Race | Finishers | Men's winner | Women's winner |
|---|---|---|---|---|
| 2025 | 50km | 35 | Adam Ping · 04:37:27 | Logan Thorpe · 05:07:16 |
| 2024 | 50km | 34 | Robert Margalis · 04:39:15 | Salud Cerruti · 04:08:51 |
| 2023 | 50km | 30 | Alexander Thomas · 04:27:11 | Bethany Bradshaw · 05:21:36 |
| 2022 | 50km | 28 | Darran Ford · 04:32:52 | Ambler Hutchinson · 06:09:01 |
| 2021 | 50km | 13 | Michael Reed · 04:33:00 | Elizabeth Boykin · 06:13:00 |
| 2020 | 50km | 19 | Ricky Tippie · 05:08:00 | Christy Sheets · 05:28:00 |
| 2019 | 50km | 7 | Peter Brookhart · 05:39:00 | Courtney Sams · 05:13:00 |
| 2018 | 50km | 6 | Juan Barredo · 07:00:00 | Susan Allen · 05:41:00 |
| 2017 | 50km | 7 | Ethan Olds · 05:20:00 | Melissa Marowelli · 05:39:16 |
The field has held steady: 34 in 2024, 35 in 2025. 40% of the 2025 field were women.
DUV results for the 2025 edition (50km) — finishers only. Starters are not published, so the field was at least this big and no finish rate can be given.
The Aid Station
Course-specific beta from the community
With trail terrain, choose a shoe with moderate cushioning for optimal performance.
Gear for this race
Chosen for 50 km of trail.
- Trail Running Shoes 50 km of trail — cushioning that is still there in the last quarter.
- Race Nutrition 50 km of self-supported fuelling between aid stations.
- Hydration Vests Flask capacity for 50 km, without the bounce.
- GPS Watches Battery life first — a 50 km day outlasts most full-GPS modes.
Similar races
Other 50K trail ultras, closest in distance first.