
Nancy Drew®: Danger on Deception Island
Developer HeR InteractivePublisher HeR Interactive
Plunge into Danger to Bring a Mysterious Island’s Secrets to the Surface!
Top Sellers#6,330▲ 2,009
Previous #8,339 · Updated Oct 18, 2026.
Wishlist RankNot ranked
Updated Oct 18, 2026.
Metadata synced: Oct 10, 2026 · Not queued
Prices & bundle history
Steam ↗$9.99Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews29591.86440677966101% positive
Recorded bundles0Checked · 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 18, 2026 | #6,330 | - |
| Oct 17, 2026 | #8,339 | - |
| Oct 16, 2026 | #6,417 | - |
| Oct 15, 2026 | #7,515 | - |
| Oct 14, 2026 | #6,007 | - |
| Oct 12, 2026 | #6,456 | - |
| Oct 11, 2026 | #5,381 | - |
| Oct 10, 2026 | #7,323 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 10, 2026
Reviews
295 reviews
Tags
21 tags synced
Links
3 public links
Current players
0 players, updated Jul 12, 2026
Top Sellers
Rank #6,330
Wishlist Rank
Not in latest snapshot
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Platforms
Windows
Steam recommendations
284
Review rating
Very Positive
Weighted score
80.6%
Current players
0
Achievements
Not synced
Metacritic
81
Required age
Not listed
Snapshot Details
Source context for the latest complete public rank snapshots.
Top Sellers
#6,330
▲ 2,009
Previous #8,339 - Updated Oct 18, 2026
Snapshot size: 9,049 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 18, 2026
Snapshot size: 5,260 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.