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DOA6LR Minato Debut Costume Bundle 2

Developer KOEI TECMO GAMES CO., LTD.Publisher KOEI TECMO GAMES CO., LTD.

Fight fancier in this set of 5 debut costumes for Minato.

Top Sellers#5,477▼ 1,280

Previous #4,197 · Updated Oct 17, 2026.

Wishlist RankNot ranked

Updated Oct 17, 2026.

Store
Developer benchmark

Metadata synced: Oct 15, 2026 · Not queued

Prices & bundle history

Steam ↗$7.99Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews1100% positive
Recorded bundlesNot recordedNo cached observation

Cached US/USD prices; checkout prices may differ. Bundle history covers recorded observations and may be incomplete.

Bundle history & historical prices

Bundle history has not been recorded yet.

Rank History

Recent appearances for this app across complete public snapshots.

CapturedTop SellersWishlist Rank
Oct 17, 2026#5,477-
Oct 16, 2026#4,197-
Oct 15, 2026#3,059-

Data Coverage

What SteamFueled currently has for this app.

Store metadata
Synced Oct 15, 2026
Available
Reviews
1 reviews
Available
Tags
31 tags synced
Available
Links
2 public links
Available
Current players
Waiting for player count sync
Pending
Top Sellers
Rank #5,477
Available
Wishlist Rank
Not in latest snapshot
Pending

Store Details

Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.

Platforms
Windows
Steam recommendations
Not synced
Review rating
Not enough reviews
Weighted score
74.1%
Current players
Not synced
Achievements
Not synced
Metacritic
Not synced
Required age
17+

Snapshot Details

Source context for the latest complete public rank snapshots.

Top Sellers
#5,477
▼ 1,280
Previous #4,197 - Updated Oct 17, 2026
Snapshot size: 9,026 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 17, 2026
Snapshot size: 5,244 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.