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Desolate Leather Treads

UncommonLeather
Open in the auction house

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Price

Market value on Emerald Dream (US)

3,129g 23s 0c
Lowest buyout
3,129g 23s 0c
Listings
1
  • Regional auction data, hourly
  • 34 scans
How prices are measured
  • Desolate Leather Treads
  • Item Level: 100
  • Binds when equipped
  • FeetLeather
  • Required Level: 50
  • Sell price: 36g 28s 25c
Sources: 1 recipe

Sources

Crafted

Most sources come from published game data.

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Market

Emerald Dream (US)

Price History

Emerald Dream (US)
Low
33g 0s 0c
Average
1,335g 98s 6c
High
3,129g 23s 0c
Samples
34
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 Desolate Leather Treads, 1 week, Emerald Dream (US)
Time (UTC)Lowest buyoutAverageQuantity
Nov 1, 0033g33g2
Nov 1, 0333g33g2
Nov 1, 0633g33g1
Nov 1, 0933g33g1
Nov 1, 1233g33g1
Nov 1, 1533g33g1
Nov 2, 09800g800g1
Nov 2, 12800g800g1
Nov 2, 15800g800g1
Nov 2, 18800g800g1
Nov 2, 21800g800g1
Nov 3, 00800g800g1
Nov 3, 03800g800g1
Nov 3, 06800g800g1
Nov 3, 09800g800g1
Nov 4, 09750g750g1
Nov 4, 12750g750g1
Nov 4, 15750g750g1
Nov 4, 18750g750g1
Nov 4, 21750g750g1
Nov 5, 00750g750g1
Nov 5, 03750g750g1
Nov 5, 06750g750g1
Nov 5, 09750g750g1
Nov 6, 123,127g3,127g1
Nov 6, 153,127g3,127g1
Nov 6, 183,127g3,127g1
Nov 6, 213,127g3,127g1
Nov 7, 003,127g3,127g1
Nov 7, 033,127g3,127g1
Nov 7, 063,127g3,127g1
Nov 7, 093,127g3,127g1
Nov 7, 213,129g3,129g1
Nov 8, 003,129g3,129g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Desolate Leather Treads
Day (UTC)AverageUnits listed
Nov 83,129g 23s 0c1
Nov 73,129g 23s 0c1
Nov 63,127g 11s 0c1
Nov 5750g 0s 0c1
Nov 4750g 0s 0c1
Nov 3800g 0s 0c1
Nov 2800g 0s 0c1
Nov 133g 0s 0c1

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

Trading Hours

See when Desolate Leather Treads 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