Nancy Drew®: Ghost Dogs of Moon Lake
Developer HeR InteractivePublisher HeR Interactive
Hunt for Clues on the Trail of a Pack of Phantom Hounds!
Top Sellers#6,418▼ 1,066
Previous #5,352 · Updated Oct 16, 2026.
Wishlist RankNot ranked
Updated Oct 16, 2026.
Metadata synced: Sep 28, 2026 · Not queued
Prices & bundle history
Steam ↗$9.99Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews30791.53094462540716% 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 16, 2026 | #6,418 | - |
| Oct 15, 2026 | #5,352 | - |
| Oct 14, 2026 | #6,716 | - |
| Oct 13, 2026 | #7,448 | - |
| Oct 11, 2026 | #4,998 | - |
| Oct 10, 2026 | #7,239 | - |
| Oct 9, 2026 | #6,228 | - |
| Oct 7, 2026 | #5,846 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Sep 28, 2026
Reviews
307 reviews
Tags
21 tags synced
Links
2 public links
Current players
0 players, updated Jul 20, 2026
Top Sellers
Rank #6,418
Wishlist Rank
Not in latest snapshot
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Platforms
Windows
Steam recommendations
288
Review rating
Very Positive
Weighted score
80.7%
Current players
0
Achievements
Not synced
Metacritic
Not synced
Required age
Not listed
Snapshot Details
Source context for the latest complete public rank snapshots.
Top Sellers
#6,418
▼ 1,066
Previous #5,352 - Updated Oct 16, 2026
Snapshot size: 9,034 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 16, 2026
Snapshot size: 5,242 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.