Hatoful Boyfriend: Holiday Star
Developer MediatonicPublisher Epic Games
The loveable birds of Hatoful Boyfriend are back in the remastered holiday-themed sequel Hatoful Boyfriend: Holiday Star!
Top SellersNot ranked
Updated Oct 21, 2026.
Wishlist RankNot ranked
Updated Oct 21, 2026.
This app is not in the latest Top Sellers or Wishlist snapshots. It can still gain richer metadata from catalog or watchlist syncs.
Metadata synced: Oct 12, 2026 · Not queued
Prices & bundle history
Steam ↗$9.99Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews56993.49736379613357% positive
Recorded bundles1Checked · older than 24h
Cached US/USD prices; checkout prices may differ. Bundle history covers recorded observations and may be incomplete.
Rank History
Recent appearances for this app across complete public snapshots.
| Captured | Top Sellers | Wishlist Rank |
|---|---|---|
| Oct 12, 2026 | #7,485 | - |
| Aug 22, 2026 | #7,741 | - |
| Jul 28, 2026 | #9,069 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 12, 2026
Reviews
569 reviews
Tags
21 tags synced
Links
2 public links
Current players
0 players, updated Jul 30, 2026
Top Sellers
Not in latest snapshot
Wishlist Rank
Not in latest snapshot
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Platforms
Windows
Steam recommendations
469
Review rating
Very Positive
Weighted score
84.4%
Current players
0
Achievements
13
Metacritic
54
Required age
Not listed
Snapshot Details
Source context for the latest complete public rank snapshots.
Top Sellers
-
-
Previous - - Updated Oct 21, 2026
Snapshot size: 8,871 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 21, 2026
Snapshot size: 5,321 rows.Steam public wishlist-rank order, not an exact private wishlist count.
Tags
Public Steam tags split by source. Store tags and genres are used more heavily for benchmark similarity than feature categories.