What usually fails on this model?
See recurring MOT failure themes by model rather than relying on forum anecdotes or one-off owner reviews.
UK MOT reliability evidence
Check the used-car problems that actually show up in MOT data.
Search a model to see its MOT failure rate, common problem areas, mileage patterns, age patterns, and recall context before you book a viewing.
Search by make, model, mileage, or problem area
DVSA MOT records
Official recall context
Updated 2026-05-09
Browse by make.
1248 model reports from 40,731,065 UK MOT tests. Select a make to compare models.
- Abarth4 models
- Alfa Romeo11 models
- Aprilia3 models
- Aston Martin7 models
- Audi38 models
- Austin1 model
- Bentley4 models
- BMW101 models
- Caterham2 models
- Chevrolet9 models
- Chrysler6 models
- Chrysler Jeep5 models
- Citroen33 models
- Dacia5 models
- Daewoo1 model
- Daihatsu6 models
- Dodge3 models
- DS4 models
- Ducati4 models
- Ferrari4 models
- Fiat36 models
- Ford71 models
- Gilera1 model
- Harley Davidson5 models
- All makes82 total
See the problems that matter at your car's mileage.
A 40k-mile issue is different from 200k-mile wear. Motintel is built to separate normal ageing from model-specific patterns so you know what deserves attention.
Example report shape: Ford Fiesta after 200k miles
Data-backed report structure
Fault themes
Groups repeated MOT failures into things a buyer can actually inspect.
Mileage bands
Shows what changes after 100k, 150k, and 200k miles where the data supports it.
Fair context
Compares against similar vehicles, not against every car on the road.
Generated reports include computed figures, sample counts, and source dates so each claim can be traced back to the underlying vehicle evidence.
Answers for the questions you ask before buying.
Most car advice tells you to "check the usual things". Motintel is designed to make that specific to the car in front of you.
What starts showing up after high mileage?
Find whether faults change as cars pass 100k, 150k, or 200k miles.
Is this problem normal for its age?
A ten-year-old city car needs a different benchmark from a three-year-old executive car.
What should I inspect first?
Translate failure patterns into practical viewing checks for tyres, brakes, suspension, corrosion, lights, and emissions.
Are there safety notices to know about?
Use recall records alongside MOT evidence so safety issues are not mixed up with normal annual-test wear.
Can this diagnose the exact car?
No dataset can replace inspection, service records, or a history check. Motintel tells you where to look harder.
Clear answers, not owner-forum guesswork.
The aim is not to scare you off a car. It is to show what the evidence says, what is normal for similar cars, and what still needs a human inspection.
| Observed failures | Uses MOT failure and advisory patterns, not only owner sentiment or generic buying advice. |
|---|---|
| Mileage and age | Separates high-mileage wear from issues that appear unusually often for the model. |
| Similar-car context | Compares against relevant peers so older or harder-used cars are not judged unfairly. |
| Recall awareness | Shows recall context separately from routine MOT outcomes. |
| Plain caveats | Explains when the data is strong, when it is limited, and why an individual car still needs checking. |
Use it before you book the viewing.
Know the failure themes to ask about, the areas to inspect, and whether a seller's reassurance matches what similar cars tend to show.