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Pattern: Living Shoulders

CommonLeatherworking
Open in the auction house

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Price

Market value on Archimonde (EU)

6,493g 44s 0c
14% below the 7-day average market value
Lowest buyout
6,493g 44s 0c
Listings
1
7-day average market value
7,586g 88s 4c
  • Regional auction data, hourly
  • 24 scans
How prices are measured
  • Pattern: Living Shoulders
  • Item Level: 1
  • Leatherworking
  • Sell price: 35s 0c
Sources: 1 recipe

Sources

Recipe, 1 source

  • Living Shoulders

Most sources come from published game data.

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Market

Archimonde (EU)

Price History

Archimonde (EU)
Low
6,493g 44s 0c
Average
7,497g 68s 54c
High
8,162g 13s 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: Living Shoulders, 1 week, Archimonde (EU)
Time (UTC)Lowest buyoutAverageQuantity
Oct 28, 217,774g7,774g1
Oct 29, 007,774g7,774g1
Oct 29, 037,774g7,774g1
Oct 29, 067,774g7,774g1
Oct 29, 127,166g7,166g1
Oct 29, 157,166g7,166g1
Oct 29, 187,166g7,166g1
Oct 29, 217,166g7,166g1
Oct 30, 007,166g7,166g1
Oct 30, 128,162g8,162g1
Oct 30, 158,162g8,162g1
Oct 30, 188,162g8,162g1
Oct 30, 218,162g8,162g1
Oct 31, 127,889g7,889g1
Oct 31, 157,889g7,889g1
Oct 31, 187,889g7,889g1
Oct 31, 217,889g7,889g1
Nov 1, 007,889g7,889g1
Nov 2, 126,887g6,887g1
Nov 2, 156,887g6,887g1
Nov 2, 186,887g6,887g1
Nov 2, 216,887g6,887g1
Nov 3, 006,887g6,887g1
Nov 3, 186,493g6,493g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Pattern: Living Shoulders
Day (UTC)AverageUnits listed
Nov 36,493g 44s 0c1
Nov 26,886g 60s 0c1
Nov 17,889g 7s 0c1
Oct 317,889g 7s 0c1
Oct 308,162g 13s 0c1
Oct 297,165g 74s 0c1
Oct 287,773g 86s 0c1

Showing Oct 28, 2026 to Nov 3, 2026.

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

Trading Hours

See when Pattern: Living Shoulders 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