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Pattern: Draconic Combatant's Wildercloth Shoulderpads

UncommonTailoring
Open in the auction house

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Price

Last scan Nov 10, 2026, 03:00 UTC

Market value on Blackhand (US)

11,420g 97s 0c
Lowest buyout
11,420g 97s 0c
Listings
1
  • Regional auction data, hourly
  • 17 scans
How prices are measured
  • Pattern: Draconic Combatant's Wildercloth Shoulderpads
  • Item Level: 1
  • Tailoring
  • Required Level: 1
  • Sell price: 50g 0s 0c
Sources: 1 recipe

Sources

Recipe, 1 source

  • Draconic Combatant's Wildercloth Shoulderpads

Most sources come from published game data.

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Market

Blackhand (US)

Price History

Blackhand (US)
Low
11,420g 97s 0c
Average
11,420g 97s 0c
High
11,420g 97s 0c
Samples
17
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: Draconic Combatant's Wildercloth Shoulderpads, 1 week, Blackhand (US); days with data: 3
Time (UTC)Lowest buyoutAverageQuantity
Nov 8, 0311,421g11,421g1
Nov 8, 0611,421g11,421g1
Nov 8, 0911,421g11,421g1
Nov 8, 1211,421g11,421g1
Nov 8, 1511,421g11,421g1
Nov 8, 1811,421g11,421g1
Nov 8, 2111,421g11,421g1
Nov 9, 0011,421g11,421g1
Nov 9, 0311,421g11,421g1
Nov 9, 0611,421g11,421g1
Nov 9, 0911,421g11,421g1
Nov 9, 1211,421g11,421g1
Nov 9, 1511,421g11,421g1
Nov 9, 1811,421g11,421g1
Nov 9, 2111,421g11,421g1
Nov 10, 0011,421g11,421g1
Nov 10, 0311,421g11,421g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Pattern: Draconic Combatant's Wildercloth Shoulderpads
Day (UTC)AverageUnits listed
Nov 1011,420g 97s 0c1
Nov 911,420g 97s 0c1
Nov 811,420g 97s 0c1

The 1 week view covers the 3 days of data this item has. Showing Nov 8, 2026 to Nov 10, 2026.

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

Trading Hours

See when Pattern: Draconic Combatant's Wildercloth Shoulderpads 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