
Components · Schwalbe
Schwalbe Magic Mary Super Gravity
£63
Tough enduro tyre. Best for enduro riding.
Schwalbe Tyre Specs, Weight & Compatibility
| Brand | Schwalbe |
|---|---|
| Component type | Tyre |
| Compatibility | 29x2.4, Super Gravity |
| Weight | 1.35 kg |
Where to buy
No current retailer offers for the Schwalbe Magic Mary Super Gravity. Retailer prices and stock are added as they are verified.
Our Verdict: Rated 4.7/5
Schwalbe Magic Mary Super Gravity is a tyre from Schwalbe. Tough enduro tyre. Key strengths are addix Soft, super Gravity casing and great grip.
Specification summary: weight 1.35 kg, price £63, compatibility 29x2.4, Super Gravity. At £63 it is about 6 percent above the typical tyre price in the database, and at 1.35 kg it is about 8 percent above the typical tyre weight. Casing, rubber compound and tread pattern set the traction-versus-rolling-resistance balance, and tubeless sealant plus the right pressure matter as much as the model itself.
Fitment and setup: Check the rim's internal width against the tyre size, then start around the manufacturer's pressure range and adjust in small steps. Rim width and rider weight shift the ideal pressure noticeably.
Verdict: Schwalbe Magic Mary Super Gravity scores strongly in this database with a 4.7 rating. It suits enduro riding. Main caveat: heavy.
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.
