VehicleReliability.com
Compare vehicle reliability with Data Science
What it does
Used car reliability scored with data instead of surveys. Two decades of real failure records, normalized against actual sales, split into Frequency (how often it breaks) and Severity (how much the repair hurts). Every score is indexed against the vehicle's own segment: 1.0 is average, below is a winner, above is a risk. Powertrains scored separately, plus a 10-point component breakdown and year-over-year tracking. Vehicle reliability scored with data, not star ratings or surveys.
Real-world reliability data for 6,000+ vehicles. Frequency & Severity scores by brand — find the most reliable cars before you buy.
The most rigorous, data-driven vehicle reliability platform. Don't rely on subjective reviews — rely on data. RISK SCORE: 1.0 = market average · Below 1.0 = mathematical winner · Above 1.0 = financial risk You're expected to choose between hundreds of models, years, and trims — knowing that a single bad choice could result in thousands of dollars in surprise mechanic bills. Dealers know this. They count on it. We process millions of historical failure records and normalize them against exact market averages — giving you objective, statistical Risk Scores for nearly every car on the road. How often does this vehicle visit the shop compared to class peers? Are you in the shop every 6 months,…from vehiclereliability.com
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