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Gruffscale Leggings

UncommonLeather
Open in the auction house

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Price

Last scan Nov 1, 2026, 00:00 UTC

Last seen price on Azralon (US)

1,000g 64s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
1,000g 64s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 165 scans
How prices are measured
  • Gruffscale Leggings
  • Item Level: 28
  • Binds when equipped
  • LegsLeather
  • Required Level: 21
  • Sell price: 40g 71s 91c
Sources: dropped by 1 source

Sources

  • Drops from 1 source.

Dropped by, 1 source

  • Gruff8.64% drop chance

Most sources come from published game data.

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Market

Azralon (US)

Price History

Azralon (US)
Low
20g 10s 0c
Average
20,433g 49s 34c
High
75,999g 4s 0c
Samples
165
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 Gruffscale Leggings, 1 week, Azralon (US)
Time (UTC)Lowest buyoutAverageQuantity
Mar 15, 008,555g8,555g1
Mar 16, 008,555g8,555g1
Mar 18, 008,555g8,555g1
Mar 19, 008,555g8,555g1
Mar 21, 0013,387g13,387g1
Mar 25, 0013,769g13,769g1
Mar 26, 0013,769g13,769g1
Mar 29, 0013,479g13,479g1
Mar 31, 0013,931g13,931g1
Apr 3, 0014,721g14,721g1
Apr 7, 0015,141g15,141g1
Apr 8, 0013,479g13,479g1
Apr 9, 0013,479g13,479g2
Apr 10, 0013,479g13,479g2
Apr 12, 0017,361g17,361g1
Apr 13, 0017,361g17,361g1
Apr 14, 0014,989g16,175g1
Apr 15, 0014,989g14,989g1
Apr 16, 0014,989g14,989g1
Apr 17, 0015,336g15,336g1
Apr 18, 0013,802g14,917g1
Apr 19, 0013,802g13,802g1
Apr 20, 0013,106g13,628g1
Apr 21, 0013,106g13,106g1
Apr 22, 0013,106g13,106g1
Apr 23, 0012,962g12,962g1
Apr 24, 0012,962g12,962g1
Apr 25, 0013,802g13,802g2
Apr 26, 0013,802g13,802g2
Apr 27, 0013,802g13,802g2
Apr 28, 0013,802g13,802g2
Apr 29, 0013,802g13,802g2
Apr 30, 0013,802g13,802g1
May 1, 0013,802g13,802g1
May 2, 0013,802g25,446g4
May 3, 0013,802g38,424g14
May 4, 0039,777g39,777g13
May 6, 0013,576g13,576g1
May 7, 0013,576g13,576g1
May 8, 0013,573g13,574g1
May 9, 0013,573g18,256g1
May 10, 0013,573g24,946g2
May 11, 0033,476g33,476g2
May 12, 0033,476g33,476g2
May 13, 0033,476g33,476g1
May 14, 0044,773g44,773g1
May 15, 0044,773g44,773g3
May 16, 0044,773g44,773g2
May 18, 0060,004g60,004g2
May 19, 0060,004g60,004g2
May 20, 0062,005g62,005g1
May 21, 0062,005g62,005g2
May 22, 0062,005g62,005g1
May 25, 0027,386g50,825g2
May 26, 0027,386g52,628g2
May 27, 0022,827g28,145g1
May 28, 0022,827g41,439g2
May 29, 0022,827g50,745g1
May 31, 0025,000g25,000g2
Jun 1, 0025,000g25,000g2
Jun 2, 0025g7,161g1
Jun 3, 0025g25g1
Jun 4, 0025g25g2
Jun 5, 0025g25g2
Jun 6, 0025g14,950g2
Jun 7, 0024,899g24,899g2
Jun 8, 0025g19,924g1
Jun 9, 0025g8,316g2
Jun 12, 0014,871g14,871g1
Jun 13, 0014,871g14,871g2
Jun 14, 0014,871g45,551g3
Jun 15, 0055,777g55,777g6
Jun 18, 0075,999g75,999g8
Jun 19, 0075,999g75,999g8
Jun 20, 0049,434g62,716g2
Jun 21, 0049,434g49,434g1
Jun 22, 0032,750g32,750g1
Jun 23, 0032,750g32,750g1
Jun 24, 0032,750g32,750g1
Jun 26, 0024,730g24,730g1
Jun 27, 0024,730g24,730g1
Jun 28, 0024,730g24,730g2
Jun 29, 0024,730g24,730g1
Jun 30, 0025,571g25,571g1
Jul 1, 0025,571g25,571g1
Jul 2, 0025,031g25,031g1
Jul 3, 0025,031g25,031g1
Jul 4, 0025,031g25,031g1
Jul 7, 0023,779g23,779g1
Jul 8, 0023,779g23,779g1
Jul 9, 0023,779g23,779g2
Jul 10, 0023,779g23,779g2
Jul 11, 0023,779g23,779g2
Jul 12, 0023,779g23,779g1
Jul 13, 009,000g9,000g1
Jul 14, 009,000g9,000g2
Jul 15, 009,000g9,000g1
Jul 18, 0020,700g20,700g1
Jul 19, 0020,700g20,700g1
Jul 20, 0019,665g19,751g1
Jul 21, 0019,665g19,665g1
Jul 22, 0019,665g19,665g1
Jul 29, 0021,599g21,599g1
Jul 30, 0021,599g21,599g1
Jul 31, 0021,599g21,599g1
Aug 1, 0022,138g22,138g1
Aug 2, 0022,138g22,138g1
Aug 5, 0022,282g22,282g2
Aug 6, 0022,282g22,282g3
Aug 7, 0022,282g22,282g2
Aug 8, 0022,282g22,282g2
Aug 9, 0022,282g22,282g1
Aug 13, 0024,350g24,350g2
Aug 14, 0024,350g24,350g2
Aug 15, 0024,350g24,500g1
Aug 16, 0025,000g25,000g1
Aug 17, 0025,000g25,000g1
Aug 18, 0025,000g25,000g2
Aug 19, 0025,000g25,000g2
Aug 20, 0025,000g25,000g1
Aug 21, 0023,185g23,185g1
Aug 22, 0023,185g23,185g1
Aug 23, 0023,185g23,185g1
Aug 25, 0023,019g23,019g1
Aug 26, 002,222g21,925g1
Aug 27, 002,222g3,262g1
Aug 28, 002,222g2,222g1
Aug 29, 002,222g2,222g1
Aug 30, 002,222g2,222g1
Aug 31, 002,222g2,222g1
Sep 1, 002,222g2,222g1
Sep 2, 002,222g2,222g2
Sep 3, 002,222g2,222g2
Sep 4, 002,222g2,222g2
Sep 5, 002,222g2,222g2
Sep 6, 002,222g2,222g1
Sep 7, 002,222g2,222g1
Sep 8, 002,222g2,222g1
Sep 9, 002,222g2,222g1
Sep 10, 002,222g2,222g2
Sep 11, 002,000g2,210g2
Sep 12, 0051g1,856g1
Sep 13, 0051g974g2
Sep 14, 0051g51g1
Sep 16, 0022,554g22,554g1
Sep 17, 0022,554g22,554g1
Sep 18, 002,222g20,012g1
Sep 19, 0020g1,834g2
Sep 20, 0020g1,429g3
Sep 21, 0020g649g1
Sep 25, 0014,641g14,641g1
Sep 26, 0014,641g14,641g1
Sep 27, 00101g5,693g2
Sep 28, 00101g101g1
Oct 3, 0021g21g1
Oct 4, 0019,796g19,796g1
Oct 5, 0019,796g19,796g1
Oct 14, 0019,064g19,064g1
Oct 15, 0019,064g19,064g1
Oct 16, 0019,064g19,064g1
Oct 17, 0018,633g18,633g1
Oct 18, 0018,633g18,633g1
Oct 19, 0016,257g17,049g1
Oct 20, 0016,257g16,257g1
Nov 1, 001,001g1,001g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Gruffscale Leggings
Day (UTC)AverageUnits listed
Nov 11,000g 64s 0c1
Oct 2016,257g 5s 0c1
Oct 1917,048g 87s 0c1
Oct 1818,632g 51s 0c1
Oct 1718,632g 51s 0c1
Oct 1619,064g 11s 0c1
Oct 1519,064g 11s 0c1
Oct 1419,064g 11s 0c1
Oct 519,796g 1s 0c1
Oct 419,796g 1s 0c1
Oct 320g 64s 0c1
Sep 28100g 50s 0c1
Sep 275,692g 80s 77c2
Sep 2614,640g 50s 0c1
Sep 2514,640g 50s 0c1
Sep 21649g 24s 29c1
Sep 201,429g 38s 28c3
Sep 191,833g 51s 65c2
Sep 1820,012g 10s 25c1
Sep 1722,553g 53s 0c1
Sep 1622,553g 53s 0c1
Sep 1450g 89s 0c1
Sep 13974g 10s 5c2
Sep 121,855g 99s 8c1
Sep 112,209g 75s 94c2
Sep 102,222g 10s 55c2
Sep 92,222g 11s 0c1
Sep 82,222g 11s 0c1
Sep 72,222g 11s 0c1
Sep 62,222g 11s 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 Gruffscale Leggings tends to trade below or above its usual price, based on the last 30 days.

The grid follows the auction week in UTC.

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Cheaper than usualTypicalMore expensive than usualLimited data