Fort Worth, TX, United States · Monday, February 15, 2027
Fixed Distance 50K
Dalmatian Run Fest 33 Mile Monday Run
140 days away
54 km Distance
not publishedn/a Climbing
2.7 est Grit · Entry level
Calculated from 54 km alone — the organiser has not published an elevation profile. Read 2.7 as a floor, not a verdict.
What the course asks
Field size ~4 Tiny. You will run alone for most of it.
DUV results for the 2026 edition (33.7mi) — finishers only. Starters are not published, so the field was at least this big and no finish rate can be given.
Results history
| Year | Race | Finishers | Men's winner | Women's winner |
|---|---|---|---|---|
| 2026 | 33.7mi | 4 | Keenan Haga · 07:33:46 | — |
| 2026 | 33.7mi | 7 | Helmut Walter · 07:49:34 | Erika Ashley · 05:11:57 |
| 2026 | 33.7mi | 7 | Keenan Haga · 06:55:31 | Erika Ashley · 04:57:55 |
| 2025 | 33.7mi | 4 | Timothy Mahler · 07:04:16 | — |
| 2025 | 33.7mi | 4 | Keenan Haga · 07:30:48 | — |
| 2025 | 33.7mi | 6 | Garrett Evans · 04:54:28 | Denise Ames · 07:14:54 |
| 2024 | 33.7mi | 6 | Matthew Perez · 06:03:13 | Pam Stadthagen · 07:12:25 |
| 2023 | 33.7mi | 4 | Timothy Mahler · 06:41:38 | Angela Tortorice · 10:02:29 |
| 2022 | 33.7mi | 4 | Chris Rollwage · 05:45:28 | Alisa Hardy · 06:31:43 |
| 2021 | 33.7mi | 5 | Luis Rojas · 03:51:25 | Britny Heinzelmann · 07:48:53 |
0% of the 2026 field were women.
DUV results for the 2026 edition (33.7mi) — 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 road terrain, choose a shoe with moderate cushioning for optimal performance.
Gear for this race
Chosen for 54 km of road.
- Trail Running Shoes 54 km of road — cushioning that is still there in the last quarter.
- Race Nutrition 54 km of self-supported fuelling between aid stations.
- Hydration Vests Flask capacity for 54 km, without the bounce.
- GPS Watches Battery life first — a 54 km day outlasts most full-GPS modes.
Similar races
Other 50K road ultras, closest in distance first.