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Edition

Pattern: Fine Leather Pants

UncommonLeatherworking
Open in the auction house

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Price

Last scan Oct 30, 2026, 12:00 UTC

Market value on Azralon (US)

500g 0s 0c
Lowest buyout
500g 0s 0c
Listings
1
Set price alert
  • Regional auction data, hourly
  • 31 scans
How prices are measured
  • Pattern: Fine Leather Pants
  • Item Level: 1
  • Leatherworking
  • Sell price: 3s 75c
Sources: 1 recipe

Sources

Recipe, 1 source

  • Fine Leather Pants

Most sources come from published game data.

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Market

Azralon (US)

Price History

Azralon (US)
Low
500g 0s 0c
Average
500g 0s 0c
High
500g 0s 0c
Samples
31
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: Fine Leather Pants, 1 week, Azralon (US) — days with data: 5
Time (UTC)MinAverageQuantity
Oct 26, 18500g500g1
Oct 26, 21500g500g1
Oct 27, 00500g500g1
Oct 27, 03500g500g1
Oct 27, 06500g500g1
Oct 27, 09500g500g1
Oct 27, 12500g500g1
Oct 27, 15500g500g1
Oct 27, 18500g500g1
Oct 27, 21500g500g1
Oct 28, 00500g500g1
Oct 28, 03500g500g1
Oct 28, 06500g500g1
Oct 28, 09500g500g1
Oct 28, 12500g500g1
Oct 28, 15500g500g2
Oct 28, 18500g500g2
Oct 28, 21500g500g1
Oct 29, 00500g500g1
Oct 29, 03500g500g1
Oct 29, 06500g500g1
Oct 29, 09500g500g1
Oct 29, 12500g500g1
Oct 29, 15500g500g1
Oct 29, 18500g500g1
Oct 29, 21500g500g1
Oct 30, 00500g500g1
Oct 30, 03500g500g1
Oct 30, 06500g500g1
Oct 30, 09500g500g1
Oct 30, 12500g500g1
  • Min
  • Average
  • Quantity
  • Latest lowest price
Daily average for Pattern: Fine Leather Pants
Day (UTC)AverageUnits listed
Oct 30500g 0s 0c1
Oct 29500g 0s 0c1
Oct 28500g 0s 0c1
Oct 27500g 0s 0c1
Oct 26500g 0s 0c1

The 1 week view covers the 5 days of data this item has. Showing Oct 26, 2026 to Oct 30, 2026.

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

Trading Hours

See when Pattern: Fine Leather 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