The fastest bike for WhatYumeziWe'reLost?
- 17.5 km with the 0.1 km lead-in
- 286 m of climbing
- 16.2 m/km climb ratio
- 1 named climb
- Surface63.4% tarmac25.4% dirt11.2% cobbles and wood
Fastest eligible setup · Standard (Road) · verified data only · Halo bikes hidden
with Princeton Wake 6560 White wheels
38:03
27.7 km/h averageestimated for 1 lap with the lead-in
- Data
- Frame and wheels bot-tested
- Upgrades
- Ranked at upgrade stage 5, assumed for bikes you don't own
- Rough surfaces
- Rough surfaces cost this setup about 1:57 minutes here
If time-trial frames are allowed
Canyon Speedmax CFR with Cadex 4-Spoke/Disc (Time Trial)
TT frames are barred in many races.
37:24
39 s faster
What's the fastest bike for WhatYumeziWe'reLost??
ZwiftBikes predicts the Specialized S-Works Tarmac SL9 with Princeton Wake 6560 White is the best bike and wheels for WhatYumeziWe'reLost? in Makuri Islands: the fastest road setup for a 75 kg rider at 225 W, finishing in 38:03 (~27.7 km/h). The Specialized S-Works Tarmac SL8 with Princeton Wake 6560 White is 0.57 s behind. Where TT bikes are allowed, the Canyon Speedmax CFR with Cadex 4-Spoke/Disc is 39 s quicker.
75 kg / 175 cm / 225 W / solo; 1 lap, including any lead-in once. Standard (Road); verified only; unowned Halo bikes excluded.
Every setup, ranked
Gap to the fastest. Open a row for its wheels, upgrades and the numbers behind it.
| # | Frame and wheels | Time | Gap | Gap axis | Aero / climb | Style | Details |
|---|---|---|---|---|---|---|---|
| 1 | Princeton Wake 6560 White | 38:03 | fastest | 95 / 83 | all-round | ||
| 2 | Princeton Wake 6560 White | 38:04 | +0.57 s | 93 / 83 | all-round | ||
| 3 | Princeton Wake 6560 White | 38:04 | +0.60 s | 94 / 82 | climbing | ||
| 4 | Princeton Wake 6560 White | 38:05 | +2.03 s | 93 / 81 | climbing | ||
| 5 | Princeton Wake 6560 White | 38:06 | +2.49 s | 94 / 78 | aero | ||
| 6 | Princeton Wake 6560 White | 38:06 | +3.11 s | 95 / 75 | aero | ||
| 7 | Same frame in another paint: Canyon Aeroad CFR Alpecin Premier-Tech Princeton Wake 6560 White | 38:07 | +3.24 s | 95 / 74 | aero | ||
| 8 | Princeton Wake 6560 White | 38:07 | +3.25 s | 92 / 78 | all-round | ||
| 9 | Princeton Wake 6560 White | 38:07 | +3.50 s | 93 / 76 | climbing |
Something here look wrong? Report it – corrections with a source get folded back into the data.
Why this bike wins here
WhatYumeziWe'reLost? is hilly, with 16.2 m of climbing per kilometre, the kind of course where aerodynamics usually counts for about as much as low weight. The Specialized S-Works Tarmac SL9 is an all-round frame, the kind of frame that terrain favours. Disc or regular wheels is a close call: the Princeton Wake 6560 White is 0.49 s faster than the Cadex 4-Spoke/Disc here, and 0.55 kg lighter.
What the terrain rewards, from its climbing alone: aerodynamics against low weight
Aerodynamics 51%Weight on climbs 49%
- Drag area against the stock bike
- −0.0330 m²
- Mass against the stock bike
- −2.14 kg
- Rolling resistance change
- −0.0003
- Time lost to rough surfaces
- 1:57
- Physics model
- Dynamic, measured geometry
The course
1 lap; kilometre positions include the lead-in, ridden once.
- Fastest bike for Temple KOM from Fishing Village Side
Climb, category 4 · km 15.0 to 17.5
2.5 km · 4.0% 99 m
Mapped surfaces; the shares describe one lap.
| Surface | Share | Distance | Extra watts |
|---|---|---|---|
| Tarmac | 63.4% | 11.1 km | - |
| Dirt | 25.4% | 4.4 km | - |
| Cobbles | 6.4% | 1.1 km | - |
| Wood | 4.7% | 0.8 km | - |
Extra watts are what the fastest setup needs to hold its pace on each surface rather than on tarmac, averaged over the ride - they appear once a ranked setup and mapped surface positions are there to simulate .
Specialized S-Works Tarmac SL9 / Princeton Wake 6560 White · 225 W · Solo · the whole ride. The line is this setup's simulated pace at every grade and surface change, over a faint elevation backdrop; the strip beneath marks the surface behind each dip.
Similar rides in Makuri Islands
Dynamic physics model active
Every time below is simulated for your weight, height and power over this route’s real, measured elevation data.