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Irvington Vampire Run presented by Geiger & Peters Indianapolis, Indiana, United States

Name: Irvington Vampire Run presented by Geiger & Peters
Start: 2026-10-31
End: 2026-10-31

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Irvington Vampire Run presented by Geiger & Peters

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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Foot race | 31 Oct 2026

3.1 mi

Distance

Elevation gain

827 ft

Elevation high

820 ft

Elevation avg

Road/Asphalt

Elevation loss

807 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 0% over 3.1 mi, which means that the energy expenditure for the run is equivalent to running a flat 3.1 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 22 Oct 2026

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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