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Nightscape Shoulders

UncommonLeather
Open in the auction house

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Price

Market value on Arathor (EU)

756g 23s 0c
Lowest buyout
756g 23s 0c
Listings
2
  • Regional auction data, hourly
  • 38 scans
How prices are measured
  • Nightscape Shoulders
  • Item Level: 23
  • Binds when equipped
  • ShoulderLeather
  • Required Level: 16
  • Sell price: 15s 0c
Sources: 1 recipe

Sources

Crafted

Most sources come from published game data.

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Market

Arathor (EU)

Price History

Arathor (EU)
Low
250g 0s 0c
Average
646g 17s 95c
High
756g 23s 0c
Samples
38
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 Nightscape Shoulders, 1 week, Arathor (EU)
Time (UTC)Lowest buyoutAverageQuantity
Nov 1, 06250g250g1
Nov 1, 09250g250g1
Nov 1, 12250g250g1
Nov 1, 15250g250g1
Nov 1, 18250g250g1
Nov 1, 21250g250g1
Nov 2, 00250g250g1
Nov 2, 03250g250g1
Nov 2, 09750g750g2
Nov 2, 12750g750g2
Nov 2, 15750g750g2
Nov 2, 18750g750g2
Nov 2, 21750g750g2
Nov 3, 00750g750g2
Nov 3, 03750g750g2
Nov 3, 06750g750g2
Nov 3, 09750g750g2
Nov 3, 12750g750g2
Nov 3, 15750g750g2
Nov 3, 18750g750g2
Nov 3, 21750g750g2
Nov 4, 00750g750g2
Nov 4, 03750g750g3
Nov 4, 06750g750g3
Nov 4, 09750g750g1
Nov 4, 12750g750g1
Nov 4, 15750g750g1
Nov 4, 18750g750g1
Nov 4, 21750g750g1
Nov 5, 00750g750g1
Nov 5, 15756g756g2
Nov 5, 18756g756g2
Nov 5, 21756g756g2
Nov 6, 00756g756g2
Nov 6, 03756g756g2
Nov 6, 06756g756g2
Nov 6, 09756g756g2
Nov 6, 12756g756g2
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Nightscape Shoulders
Day (UTC)AverageUnits listed
Nov 6756g 23s 0c2
Nov 5756g 23s 0c2
Nov 4750g 22s 0c1
Nov 3750g 23s 0c2
Nov 2750g 23s 0c2
Nov 1250g 0s 0c1

Showing Nov 1, 2026 to Nov 6, 2026.

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

Trading Hours

See when Nightscape 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