Undertale
Developer tobyfoxPublisher tobyfox
UNDERTALE! The RPG game where you don't have to destroy anyone.
Top Sellers#649▼ 90
Previous #559 · Updated Oct 14, 2026.
Wishlist RankNot ranked
Updated Oct 14, 2026.
Metadata synced: Oct 6, 2026 · Not queued
Prices & bundle history
Steam ↗$2.49Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews344,12096.51168197140532% positive
Recorded bundles3Checked · older than 24h
Cached US/USD prices; checkout prices may differ. Bundle history covers recorded observations and may be incomplete.
Bundle history & historical prices
Rank History
Recent appearances for this app across complete public snapshots.
| Captured | Top Sellers | Wishlist Rank |
|---|---|---|
| Oct 14, 2026 | #649 | - |
| Oct 13, 2026 | #559 | - |
| Oct 12, 2026 | #465 | - |
| Oct 11, 2026 | #512 | - |
| Oct 10, 2026 | #538 | - |
| Oct 9, 2026 | #572 | - |
| Oct 8, 2026 | #622 | - |
| Oct 7, 2026 | #569 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 6, 2026
Reviews
344,120 reviews
Tags
25 tags synced
Links
3 public links
Current players
1,507 players, updated Oct 14, 2026
Top Sellers
Rank #649
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
310,050
Review rating
Overwhelmingly Positive
Weighted score
96.5%
Current players
1,507
Achievements
Not synced
Metacritic
92
Required age
Not listed
Snapshot Details
Source context for the latest complete public rank snapshots.
Top Sellers
#649
▼ 90
Previous #559 - Updated Oct 14, 2026
Snapshot size: 8,971 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 14, 2026
Snapshot size: 5,258 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.