Premium Deep-Section Front Wheel (80mm+, single)
Reference models: Zipp 858 NSW, ENVE 8.9, DT Swiss ARC 1100 DICUT 80
CWPM vs Sustained bike power
Cost per minute saved across the full slider range, all other parameters held at your current profile.
FORMULA CWPM = cost ÷ Δt, where Δt = (min/h at your speed) × κ(slider) × Tbaseline(slider).
Curve reynolds sets the empirical κ bump; Tbaseline is the leg duration at your profile.
Time saved vs Sustained bike power
Minutes shaved at the 140.6 Full format as your slider value varies.
FORMULA Δt = (min/h at your speed) × κ(slider) × Tbaseline(slider).
Curve reynolds sets κ; Tbaseline is your 140.6 Full bike leg duration.
Time saved across race formats
Minutes shaved if you raced each distance at your current profile.
FORMULA For each format f: Δtf = (min/h at your speed) × κ(profile) × Tbaseline(f). Only the leg distance — and therefore Tbaseline — varies between bars; κ is held constant from your profile.
Cost vs time saved — bike alternatives
Every bike upgrade in the catalog plotted at your current profile. The line is the Pareto frontier: anything above it is dominated by a cheaper item that saves the same or more time.
HOW TO READ Each dot is one upgrade. Its horizontal position is the time it would save you at your current profile — the same Δt computed in the charts above. Its vertical position is the upgrade's cost. The green dashed line is the Pareto frontier: items where no cheaper alternative matches or beats them on time saved. Anything floating above the line is dominated — somewhere down-and-to-the-right sits a frontier item that delivers the same or more minutes for less money, so it's the better buy.
Why it works
Ultra-deep front rim profile capitalizes on the Reynolds crosswind-sail effect. This is a single front wheel — pair it with a disc rear (a separate entry) for the maximum yaw-angle savings, but expect handling challenges in gusty wind brackets above 25 km/h crosswind.
Reynolds (sail) effect — watts saved scale with $v^3$, plus an empirical $(P/225)^{0.35}$ bump as deeper sections work better at speed.
Source basis for the savings estimate
4 referencesThe ΔCdA = 0.00595 m² primitive is a calibrated
midpoint drawn from the literature below. Peer-reviewed studies are weighted most heavily;
independent / industry labs fill gaps where peer review is sparse for this gear category.
- Riding against the wind: a review of competition cycling aerodynamics.Sports Engineering, 20(2):81–110.Comprehensive review of CdA contributions from rider position, helmet, frame, wheels and clothing.doi.org/10.1007/s12283-017-0234-1
- Wind-tunnel and velodrome aerodynamic test reports (wheels, helmets, hydration setups, race suits).aero-coach.co.uk.Repeat-measurement velodrome protocol with statistical control; one of the more credible non-peer-reviewed sources.aero-coach.co.uk
- Aerodynamic white papers — deep wheel, disc and cockpit drag at race yaw.swissside.com.F1-derived CFD validated against tunnel data; useful for cross-yaw drag behaviour.swissside.com
- Independent wind-tunnel wheel comparisons.flocycling.com (A2 wind tunnel methodology reports).Open-methodology tunnel tests; one of the few brands publishing competitor wheels under identical conditions.flocycling.com
How the savings estimate was built
ΔCdA 0.00595 m²Yaw-sweep tunnel data → ΔCdA → watts saved at your actual speed → minutes per hour.
- Take averaged drag reduction across realistic yaw angles (0°–15°) from independent rim/helmet tests.
- Express as a ΔCdA, then watts saved at the rider's on-the-fly speed (ΔP = ½·ρ·v³·ΔCdA).
- Convert via ΔM/h = 20·ΔP/P and apply the empirical (P/225)^0.35 sail-effect bump.
- Bias toward the lower end of independent data when manufacturer claims diverge.
This is a calibrated model number, not a measurement of your equipment.
The value reflects published delta-ranges for the Wheels category
with a reynolds response, biased toward independent rather than manufacturer data.
The slider sweep above shows how watts-saved at your speed and the curve κ reshape it across athlete profiles.