Skip to main content
Edition

Pattern: Cindercloth Pants

UncommonTailoring
Open in the auction house

Advertisements

Price

Market value on Kazzak (EU)

9,999g 76s 0c
Lowest buyout
9,999g 76s 0c
Listings
1
Set price alert
  • Regional auction data, hourly
  • 24 scans
How prices are measured
  • Pattern: Cindercloth Pants
  • Item Level: 1
  • Tailoring
  • Sell price: 50s 0c
Sources: 1 recipe

Sources

Recipe, 1 source

  • Cindercloth Pants

Most sources come from published game data.

Advertisements

Market

Kazzak (EU)

Price History

Kazzak (EU)
Low
9,941g 13s 0c
Average
9,960g 67s 33c
High
9,999g 76s 0c
Samples
24
The 7-day average needs at least a week of history; pick a wider range than 1D.Show the 7-day average market price
Price history for Pattern: Cindercloth Pants, 1 week, Kazzak (EU) — days with data: 4
Time (UTC)MinAverageQuantity
Oct 29, 129,941g9,941g1
Oct 29, 159,941g9,941g1
Oct 29, 189,941g9,941g1
Oct 29, 219,941g9,941g1
Oct 30, 009,941g9,941g1
Oct 30, 039,941g9,941g1
Oct 30, 069,941g9,941g1
Oct 30, 099,941g9,941g1
Oct 30, 129,941g9,941g1
Oct 30, 159,941g9,941g1
Oct 30, 189,941g9,941g1
Oct 30, 219,941g9,941g1
Oct 31, 009,941g9,941g1
Oct 31, 039,941g9,941g1
Oct 31, 069,941g9,941g1
Oct 31, 099,941g9,941g1
Oct 31, 1210,000g10,000g1
Oct 31, 1510,000g10,000g1
Oct 31, 1810,000g10,000g1
Oct 31, 2110,000g10,000g1
Nov 1, 0010,000g10,000g1
Nov 1, 0310,000g10,000g1
Nov 1, 0610,000g10,000g1
Nov 1, 0910,000g10,000g1
  • Min
  • Average
  • Quantity
  • Latest lowest price
Daily average for Pattern: Cindercloth Pants
Day (UTC)AverageUnits listed
Nov 19,999g 76s 0c1
Oct 319,999g 76s 0c1
Oct 309,941g 13s 0c1
Oct 299,941g 13s 0c1

The 1 week view covers the 4 days of data this item has. Showing Oct 29, 2026 to Nov 1, 2026.

Trading hours: the cheaper and dearer hours of the week, in UTC

Trading Hours

See when Pattern: Cindercloth Pants tends to trade below or above its usual price, based on the last 30 days.

The grid follows the auction week in UTC.

Loading trading hours
Cheaper than usualTypicalMore expensive than usualLimited data