The Evil Within
Developer Tango GameworksPublisher Bethesda Softworks
Developed by Shinji Mikami -- creator of the seminal Resident Evil series -- and the talented team at Tango Gameworks, The Evil Within embodies the meaning of pure survival horror. Highly-crafted environments, horrifying anxiety, and an intricate story are combined to create an immersive world that will bring you to the height of tension.
Previous #3,965 · Updated Oct 15, 2026.
Updated Oct 15, 2026.
Metadata synced: Sep 28, 2026 · Not queued
Prices & bundle history
Cached US/USD prices; checkout prices may differ. Bundle history covers recorded observations and may be incomplete.
Bundle history & historical prices
- Fanatical - Best of Platinum Collection - Build your own Bundle (Summer 2026) ↗
- Fanatical - Build your own Bethesda Bundle - GOG Edition (Spring 2026) ↗
- Fanatical - Platinum Collection - Build your own Bundle (April 2026) ↗
- Fanatical - Build your own Bethesda Bundle - GOG Edition (Spring 2026) ↗
- Fanatical - Build your own Fight to Survive Bundle ↗
- Fanatical - Bethesda Legends - Build your own Bundle ↗
- Fanatical - Build your own Frightmare Bundle (Halloween 2024) ↗
- Fanatical Build your own Bethesda Bundle - GOG Edition ↗
- Fanatical Bethesda Favorites - Build your own Bundle ↗
- Fanatical - Best of Platinum Collection 2022 ↗
- Fanatical Platinum Collection - Build your own Bundle - August 2022 ↗
Rank History
Recent appearances for this app across complete public snapshots.
| Captured | Top Sellers | Wishlist Rank |
|---|---|---|
| Oct 15, 2026 | #3,110 | - |
| Oct 14, 2026 | #3,965 | - |
| Oct 13, 2026 | #4,736 | - |
| Oct 12, 2026 | #4,884 | - |
| Oct 11, 2026 | #4,562 | - |
| Oct 10, 2026 | #3,125 | - |
| Oct 9, 2026 | #2,069 | - |
| Oct 8, 2026 | #982 | - |
Data Coverage
What SteamFueled currently has for this app.
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Snapshot Details
Source context for the latest complete public rank snapshots.
Tags
Public Steam tags split by source. Store tags and genres are used more heavily for benchmark similarity than feature categories.