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Susitna 100 Big Lake, Alaska, United States

Name: Susitna 100
Start: 2027-02-13
End: 2027-02-13

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Susitna 100

Event description

We are Alaska Winter Wilderness Races. You will enjoy the challenge of winter racing in Alaska on marked trails with spectacular views and varied conditions.

Course maps

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HelloDrifter does not warrant the accuracy of this course data; it is provided for informational use only. Verify the course against the event organizer's published materials before relying on it for navigation or safety-critical activities.

Heads up: this course is not currently managed by a race director. Check with the event organizer for any last-minute changes before you rely on it.

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100 Miles

Foot race | 13 Feb 2027

98.5 mi

Distance

Elevation gain

253 ft

Elevation high

108 ft

Elevation avg

Trail/Dirt

Elevation loss

0 ft

Elevation low

Climb factor

What is climb factor?

The climb factor for a course is the percentage of your energy used in hill-climbing compared to the energy expended running the flats.

This course has a climb factor of 2% over 98.5 mi, which means that the energy expenditure for the run is equivalent to running a flat 100.2 mi.

Climb factor is provided courtesy of Ben Crowell, who both authored climb factor's scientific paper and wrote the open source software for it. You can read more about it here .

Course last updated 14 Aug 2019

All values approximate

Distance & elevation data

The distance or elevation data not precisely what you expect for this route?

Data from a GPS device can be rough, especially in areas where the terrain (trees, canyons) interfere with GPS signals. And routes drawn on our maps are reliant on people marking trails from satellite images -- the details of which can be hidden by trees.

Elevation can be tricky too. Elevation data is stored on spaced topographical lines, and determining the elevation of a point requires computers to estimate based on how close the point is to the topographical line.

We mitigate this by calculating distance in 3-D (think Pythagorean theorem) and using mathematical techiniques to smooth the elevation data. We come close, but no one can be perfect with imperfect data, even in 2026.

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