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Atlas Score and market ranking explained

BrickAtlas ranks metros so you can answer “where should I look?” with explainable fit — not a black-box list of trending cities.

Two scores on purpose

Atlas Score is absolute market quality: fixed neutral weights on the metric dataset, so ordering does not secretly change per user. Match % is personal: how that metro fits your saved investment persona.

You want both. Absolute score without Match ignores your capital and strategy. Match without absolute context can overfit a thin market that merely agrees with your inputs.

What Match looks at

Persona inputs — budget, cash-flow targets, risk, timeline, and strategy — drive Match. A BRRRR investor and a low-leverage cash-flow investor should not see identical personal rankings even when Atlas Score is shared.

Insights and Why Not

Every recommendation must be explainable. Insights describe why a metro or submarket fits. Why Not surfaces hard blockers and tradeoffs so you can answer partners without opening a chat transcript.

If Why Not is empty, that does not mean perfection — it means no hard blockers; still read Insights for softer tradeoffs.

How to use ranking in a real workflow

  1. 01

    Save a persona

    Onboarding captures intent; Settings edits it anytime.

  2. 02

    Browse Explore

    Rank metros by Score and Match; open detail for submarkets.

  3. 03

    Read Why Not

    Discard cities that fail constraints you will not bend.

  4. 04

    Find deals

    Jump to Deal Finder with location seeded; underwrite finalists in Analyst.

What ranking is not

Atlas Score is not a promise of returns, a property appraisal, or a substitute for underwriting an address. It is a market navigation layer so you stop spending months in the wrong inventory.

Financial metrics on a deal — cash flow, cap rate, CoC, DSCR — remain deterministic deal math inside Analyst and the calculators.

FAQ

What is Atlas Score?
Atlas Score is BrickAtlas’s absolute market ranking metric — a fixed 0–100 style market score based on deterministic weights over city/metro metrics, shared across users on the same dataset.
What is Atlas Match?
Match % measures how a market fits your investment persona: capital, targets, risk, timeline, and strategy. Two investors can share Atlas Score and see different Match.
Does AI invent Atlas Score?
No. Atlas AI may explain recommendations. Atlas Score, Match, and deal financials are computed in deterministic services.
Why do Why Not reasons matter?
They make rejection explainable. Investors and agents can defend skipping a hyped market when blockers map to persona constraints — taxes, rent-to-price, risk, or capital fit.

See Score and Match on your persona

Set investment intent once, then explore metros with absolute quality and personal fit — including why not.

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