HD Poker: Texas Hold'em
Developer Z4Publisher Z4
HD Poker - The High Def Poker experience! Crush the competition with the newest FREE poker game.
Top Sellers#1,901▼ 626
Previous #1,275 · Updated Oct 25, 2026.
Wishlist RankNot ranked
Updated Oct 25, 2026.
Metadata synced: Oct 15, 2026 · Not queued
Prices & bundle history
Steam ↗FreeChecked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews4,89279.88552739165985% positive
Recorded bundles0Checked
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 25, 2026 | #1,901 | - |
| Oct 24, 2026 | #1,275 | - |
| Oct 23, 2026 | #1,679 | - |
| Oct 21, 2026 | #1,621 | - |
| Oct 20, 2026 | #2,556 | - |
| Oct 19, 2026 | #1,896 | - |
| Oct 18, 2026 | #1,446 | - |
| Oct 17, 2026 | #1,385 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 15, 2026
Reviews
4,892 reviews
Tags
14 tags synced
Links
2 public links
Current players
0 players, updated Oct 20, 2026
Top Sellers
Rank #1,901
Wishlist Rank
Not in latest snapshot
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Platforms
macOS, Windows
Steam recommendations
Not synced
Review rating
Mostly Positive
Weighted score
79.3%
Current players
0
Achievements
1
Metacritic
Not synced
Required age
Not listed
Snapshot Details
Source context for the latest complete public rank snapshots.
Top Sellers
#1,901
▼ 626
Previous #1,275 - Updated Oct 25, 2026
Snapshot size: 8,938 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 25, 2026
Snapshot size: 5,401 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.