Engineering tool for bike split prediction and pacing — on your route, with your parameters.

You get a transparent simulation with target time, a speed profile, and clear decisions: where to invest power, where to save it, and which setup change delivers the biggest time gain.

• Four core functions in one workflow: simulation, TrackIQ pacing, aero (Chung+), performance analysis.
• Quick start: Bike Calculator → save values → after registration, carry them over into the simulation.
Quick demo: route → parameters → simulation → pacing output

What you actually do in the tool

These four building blocks work together. You don’t have to guess concepts — you start with a route or ride data and get concrete outputs.

Race split simulation

If you don’t know a course, you calculate a plausible target time and get a speed profile along the route. If your GPX/TCX file contains power, the simulation uses the real power trace as input — and you’ll see exactly where time was lost and why, segment by segment.

Output: Target time, speed profile, key sections, and a comparison to the actual ride (if power is included) that makes time losses visible segment by segment.
TrackIQ pacing

You adapt power to the terrain profile instead of riding the same output everywhere. This often unlocks “free minutes”: put power where it saves time — and cap it where it’s only costly. TrackIQ uses clear logic based on profile, speed, and your power model, so your strategy becomes reproducible instead of gut feel.

Output: A segment-based pacing plan with invest/save logic and a concrete power distribution along the route.
Aerodynamics (CdA from ride data)

If you have ride data (ideally with a power meter), you can estimate your aerodynamics as CdA and compare setups. The extended Chung methodology uses real ride data to infer aerodynamic drag from speed, power, and conditions. This shows whether position, equipment, or parameter changes have a measurable effect — and whether your setup is consistently reproducible.

Output: CdA estimation and comparison between runs/setups.
Performance analysis

You see what your energy actually goes into and which lever delivers the biggest time gain on race day: better tires, better aero, less weight, or more power — quantified as time saved.

Output: You get a sensitivity analysis: for watts, weight, Crr, and CdA/CwA you see how much the target time shifts when each parameter changes.
Why it belongs together

You can save simulations, combine variants, and compare results. That’s how you build your best strategy — transparent and data-driven instead of based on feel.

Bike Calculator: a quick start that carries your values into the simulation

You convert watts ↔ speed and see the impact of CdA, Crr, weight, and gradient. You can save these values — after registration they’re applied directly to your simulation.

Recommended if you’re new: set solid baseline values first, then run a simulation.

Ready for a reliable split prediction and a clear pacing plan?

Start with a route or ride data. You’ll get a target time, pacing logic, and the most important time levers — and you can save and compare variants.

Start simulation