Accuracy

Independent quarterly bulk test results against actual Land Registry sale prices. No cherry-picking. No simulated data. These are real predictions vs real outcomes.

65.4%
Within ±10%
PE10 against Land Registry sale prices
6.7%
Median Error
MdAPE against LR prices
87.6%
Within ±20%
12.4% fall outside this range
295,026
Transactions tested
Q4-2026 bulk test

How we benchmark

We measure against the actual Land Registry sale price — the amount the buyer paid and the seller accepted. A tighter, taller curve means more valuations land closer to the real price.

Gadsden Valuations (6.7%) Physical survey (~10%) Asking prices (~15%) Hometrack (~8%)*
Sellers typically ask above sale price −20% −10% Sale price +10% +20% Deviation from Land Registry sale price ← overvalued undervalued →

* Hometrack benchmarks against surveyor valuations, not actual sale prices — a less demanding test.

Industry thresholds

PE10 — the percentage of valuations within ±10% of the actual sale price — is the standard accuracy metric for AVMs. Academic and industry research defines several recognition thresholds.

0% PE10 100%
50%
Kirchmeyer minimum
Minimum acceptable PE10 for mortgage use
65.4%
Gadsden Valuations v6.11 (overall)
Against Land Registry sale prices — the hardest benchmark
70%
Matysiak “acceptable”
Acceptable for routine mortgage lending
80%
Rossini “reasonable”
International best practice target

All figures benchmarked against Land Registry sale prices. Industry thresholds were originally defined against surveyor valuations — a softer test. Our 65.4% overall PE10 against actual sale prices exceeds the Kirchmeyer minimum.

Reading the metrics

PE10 (Percentage within 10%)

The proportion of valuations where the model's estimate fell within 10% of the actual sale price. This is the industry-standard accuracy metric for automated valuation models. A PE10 above 80% is considered strong performance for a national AVM.

MdAPE (Median Absolute Percentage Error)

The median percentage by which the model's estimate differs from the actual sale price. Using the median rather than the mean prevents outliers from distorting the figure. Lower is better.

Test count

The number of transactions used in the bulk test. A larger test set produces more statistically robust accuracy measurements. Our quarterly bulk test runs every residential transaction recorded by the Land Registry through our live valuation engine.

Accuracy by segment

Model performance varies by property type, price band, and region. From the Meridian v6.11 Q4-2026 bulk test of 295,026 Land Registry transactions.

By Property Type

Type n MdAPE PE10 Bias
Flat 48,563 7.9% 59% +2.5%
Terraced 94,834 6.7% 65% +2.2%
Semi-Detached 87,931 6.2% 68% +1.6%
Detached 63,698 6.6% 67% +1.5%

By Price Band

Band n MdAPE PE10 Bias
<£150k 44,215 10.8% 48% +14.3%
£150-300k 117,964 6.3% 68% +1.0%
£300-500k 85,292 5.8% 72% -0.7%
£500k-1M 41,628 6.8% 65% -2.0%
£1M+ 5,927 10.1% 49% -5.7%

By Region

Region n MdAPE PE10 Bias
East Midlands 21,132 6.1% 68.4% +1.9%
East of England 30,478 6.0% 69.9% +1.4%
London 37,463 6.7% 66.0% +2.5%
North East 14,595 8.3% 56.9% +1.9%
North West 41,147 7.6% 60.7% +2.5%
South East 45,148 6.0% 69.8% +1.4%
South West 33,037 6.4% 67.5% +1.8%
Wales 14,770 7.4% 61.3% +2.1%
West Midlands 25,190 6.7% 65.7% +2.0%
Yorkshire 31,967 7.3% 62.1% +1.8%

Confidence tiers

Each property is assigned an individual Forecast Standard Deviation (FSD) based on comparable evidence, feature completeness, and model prediction uncertainty. The three confidence tiers are a human-readable summary of the underlying granular FSD.

Tier 1 — High Confidence

Strong comparable evidence, standard property type, active local market. The prediction interval is narrow and the model has high certainty. Suitable for lending and investment decisions with appropriate due diligence.

Tier 2 — Medium Confidence

Reasonable comparable evidence with some gaps. The prediction interval is moderate. Useful as a price indication but consider supplementing with local market knowledge.

Tier 3 — Low Confidence

Limited comparable evidence, unusual property, thin market, or significant data gaps. The prediction interval is wide. Treat as indicative only — a formal valuation is recommended.

FSD confidence bands

Each valuation also reports a Forecast Standard Deviation (FSD) — a measure of the model’s prediction dispersion for that property. FSD maps directly to the haircut bands used by rating agencies such as Fitch for RMBS transactions, giving lenders a standardised confidence signal.

Band A

FSD ≤ 0.05

Highest confidence. 2.5% haircut. Narrow prediction interval with dense comparable evidence.

Band B

FSD ≤ 0.10

High confidence. 5% haircut. Strong evidence with reasonable prediction certainty.

Band C

FSD ≤ 0.20

Medium confidence. 10% haircut. Moderate evidence with wider prediction interval.

Band D

FSD > 0.20

Lower confidence. 20% haircut. Limited evidence — consider supplementing with desktop review.

Methodology

These metrics are from an independent quarterly bulk test of 295,026 Q4-2026 Land Registry transactions, run through our live valuation engine. They are not training metrics. Every quarter we test our model against every residential transaction recorded by the Land Registry and publish the full results — including known limitations.

Where our model is weaker

Our model performs best on properties in the £150k–£1M range (PE10 69–75%). It is less accurate at the extremes: properties below £150k are systematically overvalued by approximately 12.6%, and properties above £1M are systematically undervalued by approximately 6.5%. Flats have a mild overvaluation bias of +2.5%. We are actively working to reduce these biases.

Want more detail?

Read our overview for a summary of what we do and how we compare, or dive into the technical summary for methodology, feature categories, and regulatory alignment.

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