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Edition

Owlbeast Leggings

CommonLeather
Open in the auction house

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Price

Last scan Nov 3, 2026, 00:00 UTC

Last seen price on Cho'gall (EU)

22,610g 62s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
22,610g 62s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 147 scans
How prices are measured
  • Owlbeast Leggings
  • Item Level: 17
  • Binds when equipped
  • LegsLeather
  • Required Level: 10
  • Sell price: 14s 41c
Sources: dropped by 2 sources

Sources

  • Drops from 2 sources.

Dropped by, 2 sources

  • Crazed Owlbeast0.03% drop chance
  • Moontouched Owlbeast0.03% drop chance

Most sources come from published game data.

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Market

Cho'gall (EU)

Price History

Cho'gall (EU)
Low
20,999g 96s 0c
Average
117,208g 59s 75c
High
269,956g 94s 0c
Samples
147
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 Owlbeast Leggings, 1 week, Cho'gall (EU)
Time (UTC)Lowest buyoutAverageQuantity
Mar 11, 00148,947g148,947g1
Mar 15, 00105,552g105,552g2
Mar 28, 0090,840g90,840g1
Mar 31, 0095,574g95,574g1
Apr 1, 0094,044g94,044g1
Apr 6, 0095,343g95,343g1
Apr 8, 0094,000g94,002g2
Apr 9, 0094,000g94,000g2
Apr 10, 0094,000g94,869g1
Apr 11, 0095,304g95,304g1
Apr 12, 0097,695g97,695g1
Apr 13, 0097,695g97,726g1
Apr 14, 0097,773g97,773g1
Apr 17, 00109,480g109,480g1
Apr 18, 00109,480g112,673g1
Apr 19, 00113,471g150,195g1
Apr 20, 00168,557g168,557g2
Apr 21, 00168,557g168,557g1
Apr 22, 00168,557g168,557g1
Apr 23, 00115,325g115,325g1
Apr 24, 00114,700g114,908g1
Apr 25, 00113,985g114,496g1
Apr 26, 00113,985g113,985g1
Apr 27, 00117,059g117,059g1
Apr 28, 00117,059g117,059g1
Apr 29, 00119,367g119,367g1
Apr 30, 00114,881g117,124g1
May 1, 00114,881g115,577g1
May 2, 00119,753g119,753g1
May 3, 00118,252g118,252g1
May 4, 00118,252g118,252g1
May 5, 00118,597g118,597g1
May 6, 00118,597g118,597g1
May 7, 00117,413g117,413g1
May 8, 00110,170g113,069g1
May 9, 00110,170g110,172g2
May 10, 00110,170g110,170g2
May 14, 00213,478g213,478g1
May 15, 00213,478g213,478g1
May 16, 00194,576g194,576g1
May 17, 00194,576g194,576g1
May 21, 00194,576g194,576g1
May 22, 00194,576g194,576g1
May 26, 00194,576g194,576g1
May 27, 00194,576g194,576g1
May 28, 00194,576g194,576g1
May 30, 00220,971g220,971g1
May 31, 00220,971g220,971g1
Jun 1, 00220,971g220,971g1
Jun 2, 00242,942g242,942g1
Jun 3, 00242,942g242,942g1
Jun 4, 00240,161g242,247g1
Jun 5, 00240,161g240,161g1
Jun 6, 00240,161g240,161g1
Jun 7, 00240,156g240,160g1
Jun 8, 00240,156g240,156g1
Jun 9, 00240,156g241,417g1
Jun 10, 00242,677g242,677g1
Jun 11, 00242,677g242,677g1
Jun 12, 00269,957g269,957g1
Jun 13, 00269,957g269,957g1
Jun 15, 00252,490g252,490g1
Jun 16, 00252,490g252,490g1
Jun 17, 00252,490g252,490g1
Jun 19, 00240,175g240,175g1
Jun 20, 00240,175g240,175g1
Jun 21, 00240,175g240,175g1
Jun 23, 00220,443g220,443g1
Jun 24, 00220,443g220,443g1
Jun 25, 00220,443g220,443g1
Jun 28, 00221,330g221,330g1
Jun 29, 00221,330g221,330g1
Jun 30, 00221,330g221,330g1
Jul 2, 00222,386g222,386g1
Jul 3, 00222,386g222,386g1
Jul 4, 00222,386g222,386g1
Jul 7, 00203,015g203,015g1
Jul 8, 00203,015g203,015g1
Jul 10, 00160,059g160,059g1
Jul 11, 00160,059g160,059g1
Jul 12, 00160,059g160,059g1
Jul 15, 00141,619g141,619g1
Jul 16, 0068,123g106,805g2
Jul 17, 0068,123g77,310g1
Jul 18, 0051,800g53,840g1
Jul 19, 0051,800g51,800g1
Jul 20, 0051,795g51,798g1
Jul 21, 0051,795g51,795g1
Jul 22, 0047,615g50,004g1
Jul 23, 0047,615g47,615g1
Jul 24, 0047,610g47,613g3
Jul 25, 0047,610g47,610g2
Jul 26, 0047,610g47,610g2
Jul 27, 0042,628g42,628g1
Jul 28, 0042,623g42,625g2
Jul 29, 0042,623g42,625g2
Jul 30, 00122,734g122,734g1
Jul 31, 00122,734g122,734g1
Aug 1, 00122,734g122,734g1
Aug 2, 0071,342g75,248g1
Aug 3, 0092,826g92,826g1
Aug 4, 0092,826g92,826g1
Aug 7, 0091,798g91,798g1
Aug 8, 0091,798g91,798g1
Aug 9, 0044,365g46,624g1
Aug 10, 0044,360g44,363g2
Aug 11, 0044,360g44,360g1
Aug 12, 0029,867g32,766g1
Aug 13, 0029,862g29,865g1
Aug 14, 0029,862g29,864g2
Aug 15, 0029,862g29,862g1
Aug 16, 0029,857g29,861g1
Aug 17, 0029,857g29,859g2
Aug 18, 0029,857g29,857g1
Aug 19, 0037,957g61,680g2
Aug 20, 0037,957g56,935g2
Aug 21, 0037,957g52,718g2
Aug 22, 0075,083g75,083g1
Aug 23, 0036,663g63,390g1
Aug 24, 0036,663g44,751g1
Aug 25, 0036,663g51,456g1
Aug 26, 0071,180g71,180g1
Aug 27, 0036,222g60,693g1
Aug 28, 0036,222g36,222g1
Aug 29, 0036,217g36,219g1
Aug 30, 0036,217g36,217g1
Aug 31, 0036,217g36,217g1
Sep 9, 0022,901g22,901g1
Sep 10, 0022,901g22,901g1
Sep 11, 0021,946g22,781g1
Sep 12, 0021,946g21,946g1
Sep 13, 0021,946g21,946g1
Sep 17, 0021,000g21,000g1
Sep 18, 0021,000g21,000g1
Sep 19, 0021,000g21,000g1
Oct 9, 0021,712g21,712g1
Oct 10, 0021,712g21,712g1
Oct 11, 0021,712g21,712g1
Oct 19, 0024,803g24,803g1
Oct 20, 0024,803g24,803g1
Oct 21, 0024,803g24,803g1
Oct 25, 0022,625g22,625g1
Oct 26, 0022,625g22,625g1
Oct 27, 0022,625g22,625g1
Nov 1, 0022,611g22,611g1
Nov 2, 0022,611g22,611g1
Nov 3, 0022,611g22,611g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Owlbeast Leggings
Day (UTC)AverageUnits listed
Nov 322,610g 62s 0c1
Nov 222,610g 62s 0c1
Nov 122,610g 62s 0c1
Oct 2722,624g 71s 0c1
Oct 2622,624g 71s 0c1
Oct 2522,624g 71s 0c1
Oct 2124,803g 48s 0c1
Oct 2024,803g 48s 0c1
Oct 1924,803g 48s 0c1
Oct 1121,711g 88s 0c1
Oct 1021,711g 88s 0c1
Oct 921,711g 88s 0c1
Sep 1920,999g 96s 0c1
Sep 1820,999g 96s 0c1
Sep 1720,999g 96s 0c1
Sep 1321,946g 33s 0c1
Sep 1221,946g 33s 0c1
Sep 1122,781g 24s 63c1
Sep 1022,900g 52s 0c1
Sep 922,900g 52s 0c1
Aug 3136,216g 88s 0c1
Aug 3036,216g 88s 0c1
Aug 2936,219g 38s 0c1
Aug 2836,221g 88s 0c1
Aug 2760,692g 55s 70c1
Aug 2671,179g 99s 0c1
Aug 2551,455g 71s 57c1
Aug 2444,751g 5s 32c1
Aug 2363,389g 87s 0c1
Aug 2275,083g 9s 0c1

Sparse data for 1 week: showing all available history.

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

Trading Hours

See when Owlbeast Leggings 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