2013 Mercedes-Benz ML 2.1L Diesel · DX63 CNN

The vehicle most recently passed its MOT on 6 August 2026 with no defects or advisories recorded, which is a positive immediate indicator of roadworthiness at the point of test. However, evaluating the broader trend reveals a pattern of recurring concern rather than outright stability. The 2024 test cycle featured a fractured rear coil spring, rear tyres worn close to the legal limit on both sides, and severe deterioration of both front CV joint boots. By mid 2025 these deteriorated boots had progressed to a Major failure category on both sides, with the split no longer preventing ingress of dirt, and the vehicle subsequently passed only after rectification. The fact that the most recent test is clean suggests remedial work has been carried out, but the escalation of the CV boot defects from Minor advisories to Major failures over a relatively short interval indicates a component that was degrading faster than it was being addressed. A prospective buyer should treat the latest pass as a snapshot, not proof of a sustained maintenance trajectory. Recorded mileage stands at 226,564 miles over approximately thirteen years, yielding an annualised figure of around 17,428 miles per year, which is notably high for a vehicle of this age and class. This places the ML firmly in the high-mileage bracket, where wear on engine, transmission, drivetrain, suspension, and braking components is accelerated relative to average. There are no large unexplained gaps in usage implied by the test dates, which suggests the vehicle has been in regular service rather than laid up for prolonged periods. The mechanical implications of sustained high annual mileage include earlier-than-expected fatigue of engine and transmission mounts, increased likelihood of oil and coolant seal weeps, accelerated wear of suspension bushes, and reduced remaining service life of ancillaries such as alternators, starter motors, and the air conditioning compressor. Given the recurring CV joint boot issues, a physical examination of both front driveshafts is essential before purchase. Inspect the boots for any fresh splits, perished rubber, or evidence of recently replaced boots using insecure or non-OE clamps, and check for any grease deposits on the inner wheelarches or suspension arms that would indicate a leak. On a test drive, listen for a clicking or knocking noise from the front when turning at full lock, particularly on tight manoeuvres, which would suggest CV joint damage already caused by contaminated grease. With the rear coil spring having fractured in 2024, examine both rear springs for any signs of corrosion, sagging, or uneven ride height, and test for clonks or thuds from the rear over bumps, which could indicate worn rear suspension bushes or top mounts accelerated by the high mileage. Uneven rear tyre wear was also flagged in 2024, so inspect the rear tyres for consistent wear across both edges and check the rear wheel alignment, as camber or toe irregularities are a common consequence of worn suspension geometry on a high-mileage ML. Beyond the documented defects, the age and mileage profile demands attention to items not necessarily visible at MOT. The 12V battery is likely approaching the end of its service life and should be load tested, while brake discs may exhibit corrosion ridges or binding calipers from frequent urban use, so check for a pulsating pedal under braking and uneven pad wear. Inspect all tyres, including any new replacements, for sidewall cracking and perishing consistent with age rather than tread depth alone, as thirteen-year-old tyres deteriorate regardless of mileage. Verify the service history stamps to confirm timely replacement of engine oil, transmission fluid, transfer box fluid where applicable, and coolant, as calendar-based fluid degradation is a particular concern on high-mileage diesels and petrols alike. Finally, examine the underbody, exhaust mounting, and suspension subframes for corrosion, paying particular attention to the areas around the spring seats and wheel arches, which are common failure points on the ML platform of this generation.