DG Score, confidence, data snapshot, data date, score version, model version, not financial, legal, or tax advice.
See how DealGrade turns a postcode, address, or listing link into a simple score and plain-English explanation.
DG Score
14 Example Terrace, Leeds LS6
82/100
Strong
Three steps
Paste a postcode, full address, or listing link. Add the price, rent, and finance details if you have them. You can also start with just the location and area data.
DealGrade pulls property and area signals, runs them through five weighted risk categories, and returns a DG Score from 0 to 100 with a confidence level.
Read the plain-English drivers behind the score, stress-test the numbers, compare your shortlist, and export a report before you make an offer.
What makes up the score
The DG Score runs 0–100. Higher means a stronger deal and lower relative risk. Every score is the weighted sum of these five parts.
Local demand, sale liquidity, and how fast a deal could become hard to shift.
Income stability and sensitivity to voids or weak rental comparables.
Leverage, debt service, and how quickly cashflow gets squeezed if costs move.
Lease length, ground rent, service charge, and major-works exposure on leaseholds.
How easily the asset could be sold or refinanced if your plans change.
Where the data comes from
Every signal traces back to named, dated, licensed government sources: Land Registry sales, ONS prices and rents, the EPC register, Police UK crime, Environment Agency flood risk, and more. No scraped listings, no black boxes.
Each score records its data dates and model version, so you can see exactly what was known when.
Severe flood risk hard-caps a score, so a deal on a floodplain can never look artificially strong.
Missing data lowers confidence and is reported as a gap. It is never quietly scored as a pass.
How confidence works
We never hide uncertainty. The confidence level tells you how much weight to put on a score before you act.
Recent data and a clear, property-level location match. Lean on it.
A few gaps or slightly older data. Useful, but confirm the key numbers.
Thin or dated data. Treat it as a first read and dig deeper before relying on it.
It is
A fast, evidence-backed read on where a deal is strong and where it is weak, with the reasons shown and the data dated.
It isn't
A valuation, a survey, or financial, legal, or tax advice. It never promises a return. Always do your own due diligence.