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Coarse Leather Gauntlets

UncommonLeather
Open in the auction house

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Price

Last scan Nov 12, 2026, 00:00 UTC

Market value on Alexstrasza (KR)

23s 0c
Lowest buyout
23s 0c
Listings
1
  • Regional auction data, hourly
  • 36 scans
How prices are measured
  • Coarse Leather Gauntlets
  • Item Level: 52
  • Binds when equipped
  • HandsLeather
  • Required Level: 45
  • Sell price: 15s 0c
Sources: 1 recipe

Sources

Crafted

Most sources come from published game data.

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Market

Alexstrasza (KR)

Price History

Alexstrasza (KR)
Low
23s 0c
Average
23s 0c
High
23s 0c
Samples
36
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 Coarse Leather Gauntlets, 1 week, Alexstrasza (KR); days with data: 6
Time (UTC)Lowest buyoutAverageQuantity
Nov 7, 0023s23s2
Nov 7, 0323s23s2
Nov 7, 0623s23s2
Nov 7, 0923s23s2
Nov 7, 1223s23s2
Nov 7, 1523s23s2
Nov 7, 1823s23s2
Nov 7, 2123s23s2
Nov 8, 0023s23s2
Nov 8, 0323s23s1
Nov 8, 0623s23s1
Nov 8, 0923s23s1
Nov 8, 1223s23s1
Nov 8, 1523s23s1
Nov 8, 1823s23s1
Nov 9, 1223s23s1
Nov 9, 1523s23s1
Nov 9, 1823s23s1
Nov 9, 2123s23s1
Nov 10, 0023s23s1
Nov 10, 0323s23s1
Nov 10, 0623s23s1
Nov 10, 0923s23s1
Nov 10, 1223s23s1
Nov 10, 1523s23s1
Nov 10, 1823s23s1
Nov 10, 2123s23s1
Nov 11, 0023s23s1
Nov 11, 0323s23s1
Nov 11, 0623s23s1
Nov 11, 0923s23s1
Nov 11, 1223s23s1
Nov 11, 1523s23s1
Nov 11, 1823s23s1
Nov 11, 2123s23s1
Nov 12, 0023s23s1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Coarse Leather Gauntlets
Day (UTC)AverageUnits listed
Nov 1223s 0c1
Nov 1123s 0c1
Nov 1023s 0c1
Nov 923s 0c1
Nov 823s 0c1
Nov 723s 0c2

The 1 week view covers the 6 days of data this item has. Showing Nov 7, 2026 to Nov 12, 2026.

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

Trading Hours

See when Coarse Leather Gauntlets 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