ULTRAKILL
Developer Arsi "Hakita" PatalaPublisher New Blood Interactive
ULTRAKILL is a fast-paced ultra-violent retro FPS that combines the skill-based style scoring of character action games with the unadulterated carnage inspired by the best shooters of the '90s. Rip apart your foes with varied destructive weaponry and shower in their blood to regain your health.
Previous #369 · Updated Oct 18, 2026.
Updated Oct 18, 2026.
Metadata synced: Oct 11, 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
GG historical low: official stores $7.90 · keyshops $6.69
- Green Man Gaming New Blood Bundle ↗
- Fanatical - Build your own Summer Superstars (2026) ↗
- Humble Decked Out Collection: Great on Handheld Bundle ↗
- Fanatial - Prestige Collection - Build your own Bundle (BundleFestive 2025) ↗
- Fanatical - Build your own Play on the Go Elite Collection (Summer 2025) ↗
- Fanatical - Build your own Play on the Go - Elite Collection (Spring 2025) ↗
- Humble Back with a Vengeance: The Best of Boomer SHooters Encore Bundle ↗
- Fanatical - Build your own Summer Superstars Collection ↗
- Fanatical - Prestige Collection Build Your Own Bundle (May 2024) ↗
- Humble Back with a Vengeance: The Best of Boomer Shooters Bundle ↗
Rank History
Recent appearances for this app across complete public snapshots.
| Captured | Top Sellers | Wishlist Rank |
|---|---|---|
| Oct 18, 2026 | #351 | - |
| Oct 17, 2026 | #369 | - |
| Oct 16, 2026 | #362 | - |
| Oct 15, 2026 | #356 | - |
| Oct 14, 2026 | #414 | - |
| Oct 13, 2026 | #346 | - |
| Oct 12, 2026 | #298 | - |
| Oct 11, 2026 | #282 | - |
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.