
Nancy Drew®: The Shattered Medallion
Developer HeR InteractivePublisher HeR Interactive
No One is Immune to Sudden Death on this Reality TV Show!
Top Sellers#7,919▲ 1,095
Previous #9,014 · Updated Oct 18, 2026.
Wishlist RankNot ranked
Updated Oct 18, 2026.
Metadata synced: Oct 4, 2026 · Not queued
Prices & bundle history
Steam ↗$13.99Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews12152.06611570247934% 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 | #7,919 | - |
| Oct 17, 2026 | #9,014 | - |
| Oct 14, 2026 | #8,487 | - |
| Oct 9, 2026 | #8,662 | - |
| Oct 8, 2026 | #6,603 | - |
| Oct 7, 2026 | #8,093 | - |
| Oct 5, 2026 | #5,779 | - |
| Oct 4, 2026 | #7,716 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 4, 2026
Reviews
121 reviews
Tags
21 tags synced
Links
2 public links
Current players
0 players, updated Jul 10, 2026
Top Sellers
Rank #7,919
Wishlist Rank
Not in latest snapshot
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Platforms
macOS, Windows
Steam recommendations
117
Review rating
Mixed
Weighted score
69.7%
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
#7,919
▲ 1,095
Previous #9,014 - 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.