Does the Mercedes-Benz ML fail the MOT on tyres more than it should?
The Mercedes-Benz ML records 9.04 tyres failure items per 100 initial MOT tests (2019–2024), against 10.02 expected for a car of the same age mix: less than expected for its class and age (−0.98, 95% interval −1.95 to −0.01). It ranks 405 of 751 models on tyres (1 = most failures above expected).
Data release dvsa-2024-v2 (24 Sep 2026) · page updated 30 Sep 2026 · all models on tyres · check a Mercedes-Benz ML by registration
What exactly fails on tyres?
The most frequent DVSA defect wording in this group on the Mercedes-Benz ML is “A tyre seriously damaged”, recorded 134 times in 2019–2024.
| DVSA defect wording | Items | Per 100 tests |
|---|---|---|
| A tyre seriously damaged | 134 | 3.26 |
| Tyre tread depth not in accordance with the requirements | 125 | 3.04 |
| A tyre cords visible or damaged | 86 | 2.09 |
Source: DVSA MOT bulk data (OGL v3.0) · Window: 2019–2024 · n = 4,115 (initial tests) · Method: failure items (major and minor) grouped by DVSA's defect tree; wordings with 30+ items · Updated: 30 Sep 2026 · Release: dvsa-2024-v2 · CSV
If a Mercedes-Benz ML gets a tyres advisory, how often does it fail next time?
9.6% of Mercedes-Benz ML MOTs with a tyres advisory were followed by a fail in the same group at the next MOT, typically 12.2 months and 7,406 miles later (763 advisories followed).
Source: DVSA MOT bulk data (OGL v3.0) · Window: 2019–2024 · n = 763 (advisories followed) · Method: the same vehicles followed to their next ordinary MOT · Updated: 30 Sep 2026 · Release: dvsa-2024-v2 · CSV
Other pages for this model
Mercedes-Benz ML by postcode area · Mercedes-Benz ML body, chassis and structure failures · Mercedes-Benz ML brakes failures · Mercedes-Benz ML lamps, reflectors and electrics failures · Mercedes-Benz ML noise, emissions and leaks failures · Mercedes-Benz ML road wheels failures · Mercedes-Benz ML seat belts and airbags failures · Mercedes-Benz ML steering failures · Mercedes-Benz ML suspension failures · Mercedes-Benz ML visibility failures