
Watch_Dogs™
Developer UbisoftPublisher Ubisoft
In today's hyper-connected world, Chicago operates under ctOS, the most advanced computer network in America.
Top Sellers#5,491▼ 2,353
Previous #3,138 · Updated Oct 30, 2026.
Wishlist RankNot ranked
Updated Oct 30, 2026.
Metadata synced: Oct 30, 2026 · Not queued
Prices & bundle history
Steam ↗$19.99Checked
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews0Score not recorded
Recorded bundles1Checked · 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 30, 2026 | #5,491 | - |
| Oct 29, 2026 | #3,138 | - |
| Oct 28, 2026 | #3,313 | - |
| Oct 27, 2026 | #4,372 | - |
| Oct 26, 2026 | #3,440 | - |
| Oct 25, 2026 | #2,006 | - |
| Oct 24, 2026 | #2,844 | - |
| Oct 23, 2026 | #2,828 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 30, 2026
Reviews
No review summary yet
Tags
25 tags synced
Links
3 public links
Current players
0 players, updated Oct 22, 2026
Top Sellers
Rank #5,491
Wishlist Rank
Not in latest snapshot
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Platforms
Windows
Steam recommendations
50,734
Review rating
Not synced
Weighted score
Not synced
Current players
0
Achievements
49
Metacritic
77
Required age
17+
Snapshot Details
Source context for the latest complete public rank snapshots.
Top Sellers
#5,491
▼ 2,353
Previous #3,138 - Updated Oct 30, 2026
Snapshot size: 8,860 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 30, 2026
Snapshot size: 5,356 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.