The Repair-Risk Map: What 6,742 Auction Records Reveal About Georgia's Used-Car Pricing
A $7,950 median spread between US auction prices and Georgian asking prices shows how wide repair economics can stretch — and where buyers absorb the risk invisibly.
From Mileage Risk to Repair Risk
AutoBridge's odometer-gap report flagged 25,946 listings with statistically impossible mileage, finding that 56.2% of uncleared cars under $3,000 failed the plausibility test. That was the first trust map. This report builds the second: what happens when mileage is plausible but the damage economics are hidden?
Georgia's used-car market runs on repair arbitrage. US auction units arrive with declared damage, Georgian workshops restore them, and buyers pay for a finished vehicle. The problem is that not all damage types are priced honestly — and until now, there was no systematic way to measure the gap.
US Auction Price vs. Georgian Asking Price by Damage Bucket
A Direct Auction-to-Listing Bridge
This report is built on 6,742 active listings matched to US auction records by VIN — a substantial corpus covering every active passenger-car listing with a recoverable auction history. For each matched pair, we compare the US auction sale price, the declared auction damage type, and the Georgian asking price. The result is an auction-to-ask spread: the dealer's gross room before freight, customs, repair costs and margin.
The median numbers are stark. US auction records show a median sale price of $6,300 for these vehicles. The same cars carry a median Georgian asking price of $14,500. The median spread is $7,950 per car. That spread is not inherently illegitimate — it has to absorb real costs. What varies is whether the disclosed damage type justifies the gap.
A Direct Auction-to-Listing Bridge
This report is built on 6,742 active listings matched to US auction records by VIN — a substantial corpus covering every active passenger-car listing with a recoverable auction history. For each matched pair, we compare the US auction sale price, the declared auction damage type, and the Georgian asking price. The result is an auction-to-ask spread: the dealer's gross room before freight, customs, repair costs and margin.
The median numbers are stark. US auction records show a median sale price of $6,300 for these vehicles. The same cars carry a median Georgian asking price of $14,500. The median spread is $7,950 per car. That spread is not inherently illegitimate — it has to absorb real costs. What varies is whether the disclosed damage type justifies the gap.
US Auction Price vs. Georgian Asking Price by Damage Bucket
Auction-to-Ask Spread by Damage Bucket
The Green / Yellow / Red Taxonomy
Auction records carry a primary_damage field that is far more structured and reliable than listing-text damage language. Text descriptions are noisy; sellers compress complex repair histories into phrases like "minor damage repaired." Auction data is pre-disclosure and standardized.
Green bucket — cosmetic: Clean / no damage recorded (67 units) and minor dents and scratches (93 units). Low-risk entries where the spread is most justifiable. Yellow bucket — structural-adjacent: Front end (3,935 units), rear end (964), and side (810). Inspection cases rather than assumption cases. Red bucket — high-consequence: Water/flood (225), all-over (208), mechanical (100), and other declared (340). Asymmetric risk categories where market self-correction works least efficiently.
The Green / Yellow / Red Taxonomy
Auction records carry a primary_damage field that is far more structured and reliable than listing-text damage language. Text descriptions are noisy; sellers compress complex repair histories into phrases like "minor damage repaired." Auction data is pre-disclosure and standardized.
Green bucket — cosmetic: Clean / no damage recorded (67 units) and minor dents and scratches (93 units). Low-risk entries where the spread is most justifiable. Yellow bucket — structural-adjacent: Front end (3,935 units), rear end (964), and side (810). Inspection cases rather than assumption cases. Red bucket — high-consequence: Water/flood (225), all-over (208), mechanical (100), and other declared (340). Asymmetric risk categories where market self-correction works least efficiently.
Auction-to-Ask Spread by Damage Bucket
Primary Damage Distribution — 6,742 VIN-Matched Listings
Flood Cars: Cheapest at Auction, Priciest in Georgia
Flood-damaged cars are acquired at the cheapest median auction price of any damage category ($6,900), yet reach the highest median Georgian asking price ($15,500), producing a median spread of $9,050 — the widest in the dataset. For comparison, front-end cars run $6,000 → $14,000 → $8,000 spread (n=3,935); clean / no damage $2,550 → $8,300 → $6,125 (n=67). Flood cars thus sell cheapest at auction and ask highest in Georgia, with a spread $2,925 wider than clean units.
This pattern is strongly suggestive of mispricing — buyers absorbing near-clean asking prices for flood-risk inventory — though without full controls for year, make, and model mix across buckets this remains a spread comparison rather than a causal proof.
Flood Cars: Cheapest at Auction, Priciest in Georgia
Flood-damaged cars are acquired at the cheapest median auction price of any damage category ($6,900), yet reach the highest median Georgian asking price ($15,500), producing a median spread of $9,050 — the widest in the dataset. For comparison, front-end cars run $6,000 → $14,000 → $8,000 spread (n=3,935); clean / no damage $2,550 → $8,300 → $6,125 (n=67). Flood cars thus sell cheapest at auction and ask highest in Georgia, with a spread $2,925 wider than clean units.
This pattern is strongly suggestive of mispricing — buyers absorbing near-clean asking prices for flood-risk inventory — though without full controls for year, make, and model mix across buckets this remains a spread comparison rather than a causal proof.
Primary Damage Distribution — 6,742 VIN-Matched Listings
Toward a More Transparent Market
The goal of this taxonomy is not to condemn repaired cars. Repaired imports underpin Georgia's value proposition. The goal is to disaggregate the $7,950 median spread into components that buyers can reason about: how much is freight and customs, how much is legitimate repair margin, and how much is unpriced residual risk sitting on the buyer's side of the transaction?
Green-bucket cars with a wide spread are likely margin plays — fully defensible, competitively checkable. Yellow-bucket cars with a wide spread are inspection cases. Red-bucket cars — particularly flood and all-over damage units — with a wide spread are the segment where the market's self-correcting mechanisms are working least efficiently. That is where better disclosure creates the most value.
Methodology
AutoBridge active listings database, joined with US auction records by VIN. Auction price, declared damage type, and Georgian asking price are compared for each matched pair. Listing-text damage language treated as secondary and noisy throughout.
6,742 VIN-matched auction↔listing pairs. Canonical dataset filter: listed_at ≥ 2026-02-01, price_usd ≥ $2,000, status = active, vehicle type = passenger cars. The condition_rating field is NULL across the dataset; all risk classification relies on auction primary_damage declarations.
Active-listing snapshot, June 16, 2026.