Silver Star, BC, Canada · Saturday, June 26, 2027
Slay The Dragon 52 km Trail Running Race
What the course asks
DUV results for the 2026 edition (52km) — finishers only. Starters are not published, so the field was at least this big and no finish rate can be given.
Typical conditions, June
Regional 2001-2020 average for June — NASA POWER, grid elevation 1025 m. Not a forecast.
Results history
| Year | Race | Finishers | Men's winner | Women's winner |
|---|---|---|---|---|
| 2026 | 52km | 73 | Eliot Soderholm · 04:58:29 | Megan Johnston · 05:40:02 |
| 2025 | 50km | 91 | Chris Balestrini · 04:19:45 | Amanda Noguchi · 06:05:06 |
| 2024 | 50km | 98 | Brandon Miller · 04:44:22 | Heidi Frehlich · 05:53:45 |
| 2023 | 50km | 77 | Brayden Mills · 05:00:42 | Krisztina Eszter Balazs · 05:50:12 |
| 2022 | 50km | 70 | Harley Le Leivre · 05:34:52 | Joanna Brewer · 06:02:21 |
| 2019 | 50km | 27 | Matt Baumeister · 05:16:14 | Karine Taravaillaud · 05:26:58 |
| 2018 | 50km | 14 | Joel Johnson · 05:38:35 | Ilona Gyapay · 05:55:41 |
| 2017 | 50km | 26 | Matthew Fortuna · 04:43:51 | Stacey Cleveland · 05:46:34 |
The field shrank 20% between 2025 (91) and 2026 (73). 41% of the 2026 field were women.
DUV results for the 2026 edition (52km) — 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
This is a rolling course. Expect fast, runnable sections where rhythm is key.
With trail terrain, choose a shoe with moderate cushioning for optimal performance.
Gear for this race
Chosen for 52 km of trail with 1,600 m of ascent.
- Trail Running Shoes 31 m of climb per kilometre — grip and rock protection before cushioning.
- Race Nutrition 52 km of self-supported fuelling between aid stations.
- Hydration Vests Pole attachment and chest-strap stability on steep ground.
- Trekking Poles 1,600 m of ascent to walk up.
- GPS Watches Battery life first — a 52 km day outlasts most full-GPS modes.
Similar races
Other 50K trail ultras, closest in distance first.