The fastest bike for Richmond 2015 Worlds Reverse
- 16.3 km with the 0.1 km lead-in
- 158 m of climbing
- 9.7 m/km climb ratio
- 2 named climbs
- Surface83.0% tarmac17.0% cobbles
Fastest eligible setup · Standard (Road) · verified data only · Halo bikes hidden
with Shimano DURA-ACE C99 + Disc wheels
29:50
32.9 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 12 seconds here
If time-trial frames are allowed
Canyon Speedmax CFR with Cadex 4-Spoke/Disc (Time Trial)
TT frames are barred in many races.
28:47
1:03 faster
What's the fastest bike for Richmond 2015 Worlds Reverse?
ZwiftBikes predicts the Specialized S-Works Tarmac SL9 with Shimano DURA-ACE C99 + Disc is the best bike and wheels for Richmond 2015 Worlds Reverse in Richmond: the fastest road setup for a 75 kg rider at 225 W, finishing in 29:50 (~32.9 km/h). The Cannondale SuperSix EVO LAB71 Team with Shimano DURA-ACE C99 + Disc is 0.25 s behind. Where TT bikes are allowed, the Canyon Speedmax CFR with Cadex 4-Spoke/Disc is 1:03 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 | Shimano DURA-ACE C99 + Disc | 29:50 | fastest | 95 / 83 | all-round | ||
| 2 | Shimano DURA-ACE C99 + Disc | 29:50 | +0.25 s | 94 / 82 | climbing | ||
| 3 | Same frame in another paint: Canyon Aeroad CFR Alpecin Premier-Tech Cadex 4-Spoke/Disc | 29:51 | +0.46 s | 95 / 74 | aero | ||
| 4 | Cadex 4-Spoke/Disc | 29:51 | +0.60 s | 93 / 83 | all-round | ||
| 5 | Cadex 4-Spoke/Disc | 29:51 | +0.78 s | 93 / 81 | climbing | ||
| 6 | Cadex 4-Spoke/Disc | 29:51 | +0.79 s | 96 / 72 | aero | ||
| 7 | Cadex 4-Spoke/Disc | 29:51 | +0.85 s | 95 / 75 | aero | ||
| 8 | Cadex 4-Spoke/Disc | 29:51 | +0.96 s | 95 / 75 | all-round | ||
| 9 | Cadex 4-Spoke/Disc | 29:51 | +1.09 s | 94 / 78 | aero |
Something here look wrong? Report it – corrections with a source get folded back into the data.
Why this bike wins here
Richmond 2015 Worlds Reverse is rolling, with 9.7 m of climbing per kilometre, the kind of course where aerodynamics usually counts for clearly more than low weight. The Specialized S-Works Tarmac SL9 is an all-round frame. Disc or regular wheels is a close call: the Shimano DURA-ACE C99 + Disc is 1.8 s faster than the SwissSide HADRON Ultimate 650, but 0.34 kg heavier.
What the terrain rewards, from its climbing alone: aerodynamics against low weight
Aerodynamics 75%Weight on climbs 25%
- Drag area against the stock bike
- −0.0356 m²
- Mass against the stock bike
- −1.62 kg
- Rolling resistance change
- −0.0003
- Time lost to rough surfaces
- 12 s
- Physics model
- Dynamic, measured geometry
The course
1 lap; kilometre positions include the lead-in, ridden once.
- Fastest bike for 23rd St. Rev
Climb · km 1.4 to 2.5
1.1 km · 3.5% 38 m
- Fastest bike for Richmond KOM Rev.
Climb · km 3.0 to 3.6
0.7 km · 3.4% 22 m
Mapped surfaces; the shares describe one lap.
| Surface | Share | Distance | Extra watts |
|---|---|---|---|
| Tarmac | 83.0% | 13.5 km | - |
| Cobbles | 17.0% | 2.8 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 / Shimano DURA-ACE C99 + Disc · 225 W · Solo · one lap plus the lead-in; the finish estimate covers 1 lap. 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 Richmond
Dynamic physics model active
Every time below is simulated for your weight, height and power over this route’s real, measured elevation data.