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Live preview · 40,958 hotels ranked
Hotels
Sources we aggregate
| TripAdvisor | Open crowd platform — a review does not require a booking through the site |
|---|---|
| Booking.com, Agoda, Expedia, Trip.com, Ostrovok | Verified-stay reviews — each rating is tied to a reservation completed on that platform |
| Reviewer weighting | Uniform. Every reviewer who clears the admission rules counts the same, whichever of the six platforms they rated on |
| Professional editorial | None ingested. No hotel-inspection publication feeds a Rankquant hotel score |
Peer-set dimensions
- City — or in major metros, neighborhood
- Price tier — budget / mid-scale / upscale / luxury / ultra-luxury
- Property type — hotel, resort, boutique, bed-and-breakfast
An upscale Midtown Manhattan hotel with a normalized 4.7 is compared against other upscale Midtown hotels at similar price points — not against a $80 motel in a different city. This makes the score immediately actionable for travelers.
Frequently asked questions
Why normalize within city and price tier?+
Because hotels at different price points and in different cities live in different review-inflation regimes. A budget hotel that reads well for its category and a luxury property that reads merely average for its can sit at the same raw number. Global averages don't let you tell these apart.
Can you normalize hotels I've never heard of?+
Yes, provided enough of its reviewers carry a rating history we can normalize against. The catalog filter is 50 or more reviews per property; obscurity is not a disqualifier, thin reviewer overlap is. A hotel that clears the filter is ranked on the mean reviewer z itself, reported as measured. Thin samples are charged for separately, in the AI-adjusted percentile, rather than guessed at.
What about review-bombing (positive or negative)?+
Two mechanisms, neither of them a prior over categories. First, every reviewer is normalized against their own rating history, so a reviewer who hands out top marks to everything adds little by handing out one more. Second, the AI-adjusted percentile discounts the mean by n / (n + 53), so a bulk positive push on a new property is pulled toward the corpus average until genuine coverage accumulates; bulk negative campaigns are diluted the same way. Outlier review clusters are flagged for editorial review.
Do you show nightly rates?+
No. We hold no price feed from Booking.com or anyone else, and Expedia and Hotels.com are not currently integrated. The "Book" button builds a Booking.com search from the property name, city and your chosen dates and hands you off; the rate you see is Booking.com's, on Booking.com. That link carries no affiliate tracking and earns Rankquant nothing.
Status: 40,958hotels with ≥50 reviews are live in the catalog, ranked by z-normalized percentile across 1.17 M reviewers from TripAdvisor, Booking.com, Agoda, Expedia, Trip.com, and Ostrovok. Tier and price filters and per-hotel detail pages will arrive once those fields are scraped — for now the catalog shows the bias-corrected ranking only. See full methodology for the math.