Tree
This track has trees
Detailed Track Information
Ready to test your reflexes against nature itself? Sebastion’s "Tree" is a masterclass in high-speed precision, offering one of the most visually distinct custom maps in the PolyTrack universe. Don't let the simple name fool you—this Expert-level gauntlet is a brutal speedrun challenge where the environment is the enemy.
Navigating this track requires a flawless racing strategy. The core obstacle is a dense cluster of arboreal pillars that demand near-perfect lane discipline. You cannot afford to drift wide here; one slight miscalculation at full throttle will result in a spectacular, tree-splintering crash. This map forces you to find the absolute optimal racing line, shaving milliseconds off your lap by weaving through the forest with surgical accuracy.
This isn't just a test of speed, but of control. If you are an expert driver looking for a unique obstacle course that separates the best from the rest, this PolyTrack code is your next obsession. Can you master the wood and set the fastest time?
Why This Track Is Worth Trying
Tree is a expert speedrun track from Sebastion. It is best approached as a test of quick restarts, repeatable lines, and removing small hesitations from each section.
First Run Plan
run the track several times at 80 percent speed, then start optimizing the first checkpoint split
Main Risk
Watch for blind turns and unnecessary steering corrections, since tiny delays matter more on speedrun maps.
Difficulty Note
Expert layouts are built for experienced players and can require many attempts before the full run clicks.
Reset quickly, study the first failure point, and only push speed after the route feels repeatable. This code uses the newer PolyTrack import format and can also be tested in Review Racer when available.
Track Code
How to Use This Code
- Click the "COPY CODE" button above
- Open PolyTrack in your browser
- Go to Track Editor → Import
- Paste the code and click Load
- Start Game
Content & Review Notes
Tracks on PolyTrackCodes come from community submissions and public community sources. We remove obvious spam and broken entries when reported.
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