Live preview · 3,750 hotels ranked
Hotels
Sources we aggregate
| Michelin Keys | Weight 9 — professional hotel rating; rigorous standards |
|---|---|
| Forbes Travel Guide | Weight 9 — 800+ standards, in-person evaluation |
| Booking.com (verified stays) | Weight 5 — transaction-verified but 8.4 average |
| TripAdvisor | Weight 4 — older crowd platform, more gaming pressure |
| Google Hotels | Weight 4 — lower verification strictness |
Peer-set dimensions
- City — or in major metros, neighborhood
- Price tier — budget / mid-scale / upscale / luxury / ultra-luxury
- Star rating (nominal) — 3/4/5 star, as a coarse category input
- Property type — hotel, resort, boutique, bed-and-breakfast
A 4-star Midtown Manhattan hotel with a normalized 4.7 is compared against other 4-star 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 3-star budget hotel with a 7.5/10 on Booking.com may be a strong pick for its category; a 5-star luxury hotel with 9.2/10 may be merely average for its. Global averages don't let you tell these apart.
Can you normalize hotels I've never heard of?+
Yes, as long as they have review coverage from at least 2 weighted sources. A small boutique hotel with 80 Booking.com reviews and 30 Google reviews is enough for a stable normalized score under the Bayesian prior adjustment.
What about review-bombing (positive or negative)?+
The Bayesian prior adjustment protects against small-sample manipulation. Bulk positive review pushes on new properties get pulled toward the category prior until the property has thousands of reviews. Bulk negative campaigns are similarly diluted. Outlier review clusters are flagged for editorial review.
Will prices come from Booking.com directly?+
Yes, plus Expedia and Hotels.com via their respective affiliate APIs. The primary "Book" link for each hotel page routes to the retailer with the best combination of nightly rate and affiliate commission, with all observed rates shown openly.
Status:3,750 hotels 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 / price / star 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.