Components · Crankbrothers
Crankbrothers Synthesis E-Bike
£1,419
Carbon e-bike wheelset. Best for e-bikes.
Crankbrothers Wheelset Specs, Weight & Compatibility
| Brand | Crankbrothers |
|---|---|
| Component type | Wheelset |
| Compatibility | Boost, 30mm internal |
| Weight | 1.95 kg |
Where to buy
No current retailer offers for the Crankbrothers Synthesis E-Bike. Retailer prices and stock are added as they are verified.
Our Verdict: Rated 4.6/5
Crankbrothers Synthesis E-Bike is a wheelset from Crankbrothers. Carbon e-bike wheelset. Key strengths are carbon, e-bike rated and reliable.
Specification summary: weight 1.95 kg, price £1,419, compatibility Boost, 30mm internal. At £1,419 it is in line with the typical wheelset price in the database, and at 1.95 kg it is about 5 percent above the typical wheelset weight. Rim width, spoke count, hub engagement and rim layup together decide how a wheelset tracks, how quickly it accelerates and how it copes with repeated rock strikes.
Fitment and setup: Confirm the axle standard (Boost 148/110), driver body, brake-rotor interface and internal rim width against your tyres, and check spoke tension after the first few rides.
Verdict: Crankbrothers Synthesis E-Bike scores strongly in this database with a 4.6 rating. It suits e-bikes. Main caveat: premium cost.
How We Rate
How we rate
Every rating on Gear Matrix is published alongside the information it is based on, so you can judge the score for yourself rather than take it on trust.
Gear Matrix ratings are editorial assessments built from published manufacturer specifications and comparative specification data. They are not presented as the result of physical product testing. Where an article is based on a first look, a launch announcement or a press release, the article says so.
Weight-to-power on e-MTBs
Where a weight-to-power ratio is shown it is calculated from two manufacturer-declared figures: the bike’s weight in kilograms and the motor’s declared output. Both inputs are required before any ratio is displayed. We never estimate a missing value, and we never infer a figure from a different model in the range.
The full breakdown of rating criteria is being prepared and will be published on this page.