
Command & Conquer™ 4 Tiberian Twilight
Developer EA Los AngelesPublisher Electronic Arts
Level Up For the Epic Conclusion of the Tiberium Saga.
Top Sellers#3,487▼ 516
Previous #2,971 · Updated Oct 22, 2026.
Wishlist RankNot ranked
Updated Oct 22, 2026.
Metadata synced: Oct 19, 2026 · Not queued
Prices & bundle history
Steam ↗Not recordedChecked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews5,08216.58795749704841% 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 22, 2026 | #3,487 | - |
| Oct 21, 2026 | #2,971 | - |
| Oct 20, 2026 | #3,222 | - |
| Oct 19, 2026 | #3,107 | - |
| Oct 18, 2026 | #2,625 | - |
| Oct 17, 2026 | #2,850 | - |
| Oct 16, 2026 | #3,049 | - |
| Oct 15, 2026 | #3,044 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 19, 2026
Reviews
5,082 reviews
Tags
26 tags synced
Links
3 public links
Current players
14 players, updated Oct 22, 2026
Top Sellers
Rank #3,487
Wishlist Rank
Not in latest snapshot
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Platforms
Windows
Steam recommendations
4,855
Review rating
Overwhelmingly Negative
Weighted score
21.7%
Current players
14
Achievements
Not synced
Metacritic
64
Required age
Not listed
Snapshot Details
Source context for the latest complete public rank snapshots.
Top Sellers
#3,487
▼ 516
Previous #2,971 - Updated Oct 22, 2026
Snapshot size: 8,960 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 22, 2026
Snapshot size: 5,330 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.