MONSTER CARDS
Developer GasaiGamesPublisher GasaiGames
Bring your original deck of cards and play against everyone!
Top Sellers#8,563New
Updated Oct 21, 2026.
Wishlist RankNot ranked
Updated Oct 21, 2026.
Metadata synced: Oct 22, 2026 · Not queued
Prices & bundle history
Steam ↗FreeChecked
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews79793.97741530740275% positive
Recorded bundlesNot recordedNo cached observation
Cached US/USD prices; checkout prices may differ. Bundle history covers recorded observations and may be incomplete.
Bundle history & historical prices
Bundle history has not been recorded yet.
Rank History
Recent appearances for this app across complete public snapshots.
| Captured | Top Sellers | Wishlist Rank |
|---|---|---|
| Oct 21, 2026 | #8,563 | - |
| Sep 1, 2026 | #7,556 | - |
| Aug 30, 2026 | #7,711 | - |
| Aug 26, 2026 | #4,249 | - |
| Aug 22, 2026 | #7,591 | - |
| Aug 20, 2026 | #6,432 | - |
| Aug 10, 2026 | #8,072 | - |
| Aug 9, 2026 | #4,742 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 22, 2026
Reviews
797 reviews
Tags
19 tags synced
Links
2 public links
Current players
0 players, updated Aug 11, 2026
Top Sellers
Rank #8,563
Wishlist Rank
Not in latest snapshot
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Platforms
macOS, Linux, Windows
Steam recommendations
Not synced
Review rating
Very Positive
Weighted score
86.3%
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
#8,563
New
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.