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Pattern: Obsidian Combatant's Adamant Epaulets

UncommonLeatherworking
Open in the auction house

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Price

Last scan Nov 4, 2026, 03:00 UTC

Market value on Emerald Dream (US)

31,767g 0s 0c
11% below the 7-day average market value
Lowest buyout
31,767g 0s 0c
Listings
1
7-day average market value
35,839g 85s 71c
  • Regional auction data, hourly
  • 15 scans
How prices are measured
  • Pattern: Obsidian Combatant's Adamant Epaulets
  • Item Level: 1
  • Leatherworking
  • Required Level: 1
  • Sell price: 50g 0s 0c
Sources: 1 recipe

Sources

Recipe, 1 source

  • Obsidian Combatant's Adamant Epaulets

Most sources come from published game data.

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Market

Emerald Dream (US)

Price History

Emerald Dream (US)
Low
31,767g 0s 0c
Average
31,767g 0s 0c
High
31,767g 0s 0c
Samples
15
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: Obsidian Combatant's Adamant Epaulets, 1 week, Emerald Dream (US); days with data: 3
Time (UTC)Lowest buyoutAverageQuantity
Nov 2, 0931,767g31,767g2
Nov 2, 1231,767g31,767g2
Nov 2, 1531,767g31,767g2
Nov 2, 1831,767g31,767g2
Nov 2, 2131,767g31,767g2
Nov 3, 0031,767g31,767g2
Nov 3, 0331,767g31,767g2
Nov 3, 0631,767g31,767g1
Nov 3, 0931,767g31,767g1
Nov 3, 1231,767g31,767g1
Nov 3, 1531,767g31,767g1
Nov 3, 1831,767g31,767g1
Nov 3, 2131,767g31,767g1
Nov 4, 0031,767g31,767g1
Nov 4, 0331,767g31,767g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Pattern: Obsidian Combatant's Adamant Epaulets
Day (UTC)AverageUnits listed
Nov 431,767g 0s 0c1
Nov 331,767g 0s 0c1
Nov 231,767g 0s 0c2

The 1 week view covers the 3 days of data this item has. Showing Nov 2, 2026 to Nov 4, 2026.

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

Trading Hours

See when Pattern: Obsidian Combatant's Adamant Epaulets 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