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Warflesh Breeches

UncommonLeather
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Price

Last scan Sep 25, 2026, 00:00 UTC

Last seen price on Auchindoun (EU)

166,135g 58s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
166,135g 58s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 154 scans
How prices are measured
  • Warflesh Breeches
  • Item Level: 100
  • Binds when equipped
  • LegsLeather
  • Required Level: 50
  • Sell price: 50g 90s 50c
Sources: none recorded

Sources

No source is recorded for Warflesh Breeches.Crafted, vendor, drop and quest sources appear here when the catalogue lists one.

Most sources come from published game data.

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Market

Auchindoun (EU)

Price History

Auchindoun (EU)
Low
150g 30s 0c
Average
108,598g 32s 95c
High
1,225,305g 95s 67c
Samples
154
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 Warflesh Breeches, 1 week, Auchindoun (EU)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 004,815g4,815g2
Mar 2, 004,815g4,815g2
Mar 3, 004,815g4,815g2
Mar 4, 005,589g5,589g1
Mar 7, 006,624g6,624g2
Mar 8, 006,624g6,624g2
Mar 12, 007,850g7,850g1
Mar 15, 007,948g8,632g3
Mar 16, 007,948g7,948g2
Mar 18, 009,536g9,536g1
Mar 28, 0011,668g12,651g2
Apr 1, 0013,878g13,878g1
Apr 8, 0016,797g19,027g1
Apr 9, 0019,764g19,764g1
Apr 10, 0019,764g19,764g1
Apr 13, 009,256g9,256g1
Apr 14, 009,256g14,294g2
Apr 15, 009,256g13,046g1
Apr 16, 0018,126g18,492g1
Apr 17, 0019,590g19,590g1
Apr 18, 0019,590g19,926g1
Apr 19, 0022,274g22,274g1
Apr 20, 0022,274g22,274g2
Apr 21, 0022,274g23,144g1
Apr 22, 0025,321g25,321g1
Apr 23, 0025,321g25,321g1
Apr 24, 0027,959g27,959g1
Apr 25, 0027,959g27,959g1
Apr 26, 0027,959g29,341g1
Apr 27, 0030,724g30,724g1
Apr 28, 0030,724g30,724g1
Apr 30, 0033,864g33,864g1
May 1, 0033,864g33,864g1
May 2, 0033,864g33,864g1
May 3, 0033,864g34,528g1
May 4, 0033,864g35,652g2
May 5, 0033,864g35,525g2
May 6, 0033,864g35,227g1
May 7, 0033,864g36,863g2
May 8, 0038,862g41,685g1
May 9, 0044,509g44,509g1
May 10, 0044,509g44,939g1
May 11, 0045,798g45,798g1
May 12, 0015,912g40,364g1
May 13, 0015,912g15,912g1
May 14, 0015,912g15,912g1
May 15, 0038,958g38,958g1
May 16, 0038,958g38,958g1
May 17, 0038,958g38,958g1
May 18, 0043,384g43,384g1
May 19, 0043,384g43,384g1
May 20, 0043,384g43,384g1
May 26, 0048,051g48,051g1
May 27, 0048,051g48,051g1
May 28, 0048,051g48,051g1
May 30, 0015,114g15,114g1
May 31, 0015,114g15,114g1
Jun 1, 0015,114g25,073g1
Jun 2, 0035,031g35,031g1
Jun 3, 0035,031g35,031g1
Jun 4, 0014,973g14,973g1
Jun 5, 0014,973g22,040g1
Jun 6, 0014,973g27,929g2
Jun 7, 0034,907g37,925g1
Jun 8, 0034,907g34,907g1
Jun 9, 0034,907g34,907g1
Jun 10, 0040,664g40,664g1
Jun 11, 0040,664g40,664g1
Jun 12, 0040,664g42,960g1
Jun 13, 0045,256g45,256g1
Jun 14, 0045,256g45,256g1
Jun 21, 0056,119g56,119g1
Jun 22, 0056,119g56,119g1
Jun 23, 0056,119g60,815g1
Jun 24, 0067,390g67,390g1
Jun 25, 0067,390g70,586g1
Jun 26, 0075,914g75,914g1
Jun 27, 0075,914g75,914g1
Jun 28, 0015,238g15,238g1
Jun 29, 0015,238g15,238g1
Jun 30, 0015,238g15,238g1
Jul 1, 0055,256g55,256g1
Jul 2, 0055,256g55,256g1
Jul 3, 0055,256g55,256g1
Jul 4, 0014,118g14,118g1
Jul 5, 0014,118g22,407g1
Jul 6, 0014,118g34,750g2
Jul 7, 0052,802g52,802g1
Jul 8, 00501g28,178g2
Jul 9, 00501g25,103g2
Jul 10, 00501g22,028g2
Jul 17, 0056,087g56,087g1
Jul 18, 0056,087g56,087g1
Jul 19, 0056,087g56,087g1
Jul 20, 0068,539g68,539g1
Jul 21, 0068,539g68,539g1
Jul 22, 0068,539g68,539g2
Jul 23, 0068,539g68,539g1
Jul 24, 00150g150g1
Jul 25, 00150g150g1
Jul 26, 00150g20,007g1
Jul 27, 0072,957g72,957g1
Jul 28, 00244g43,872g1
Aug 4, 0080,815g80,815g1
Aug 5, 0080,815g80,815g1
Aug 6, 0080,815g80,815g1
Aug 7, 0093,402g93,402g1
Aug 8, 0093,402g93,402g1
Aug 9, 0093,402g96,535g1
Aug 10, 0098,814g98,814g1
Aug 11, 0098,814g98,814g1
Aug 13, 00114,574g114,574g1
Aug 14, 00114,574g114,574g1
Aug 15, 00114,574g116,038g1
Aug 16, 00118,723g118,723g1
Aug 17, 00118,723g120,597g1
Aug 18, 00125,282g125,282g1
Aug 19, 00125,282g125,953g1
Aug 20, 00126,892g126,892g1
Aug 21, 00126,892g128,579g1
Aug 22, 00135,329g135,329g1
Aug 23, 00135,329g135,329g1
Aug 24, 00133,493g133,493g1
Aug 25, 00133,493g133,493g1
Aug 26, 00133,493g134,085g1
Aug 27, 00133,986g135,099g2
Aug 28, 00136,157g208,883g2
Aug 29, 00139,038g273,223g2
Aug 30, 00139,038g254,441g2
Aug 31, 00139,038g317,334g2
Sep 1, 00141,224g329,957g2
Sep 2, 00141,224g384,198g2
Sep 3, 00143,807g583,984g1
Sep 4, 00143,807g339,764g1
Sep 5, 00143,807g499,180g2
Sep 6, 00147,205g704,416g1
Sep 7, 00147,205g551,811g2
Sep 8, 00147,205g615,987g2
Sep 9, 00147,059g726,981g1
Sep 10, 00147,059g680,827g2
Sep 11, 00147,059g147,059g1
Sep 12, 00152,284g152,284g1
Sep 13, 00152,284g152,284g1
Sep 14, 00152,284g152,337g1
Sep 15, 00152,417g380,285g1
Sep 16, 00152,417g886,394g2
Sep 17, 00157,370g1,225,306g1
Sep 18, 00157,370g157,370g1
Sep 19, 00157,370g158,810g1
Sep 20, 00161,690g161,690g1
Sep 21, 00161,690g161,690g1
Sep 23, 00166,136g166,136g1
Sep 24, 00166,136g166,136g1
Sep 25, 00166,136g166,136g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Warflesh Breeches
Day (UTC)AverageUnits listed
Sep 25166,135g 58s 0c1
Sep 24166,135g 58s 0c1
Sep 23166,135g 58s 0c1
Sep 21161,690g 18s 0c1
Sep 20161,690g 18s 0c1
Sep 19158,810g 30s 67c1
Sep 18157,370g 37s 0c1
Sep 171,225,305g 95s 67c1
Sep 16886,393g 87s 71c2
Sep 15380,284g 94s 91c1
Sep 14152,337g 13s 0c1
Sep 13152,284g 11s 0c1
Sep 12152,284g 11s 0c1
Sep 11147,059g 20s 0c1
Sep 10680,826g 95s 0c2
Sep 9726,981g 29s 85c1
Sep 8615,987g 48s 8c2
Sep 7551,811g 34s 76c2
Sep 6704,416g 37s 85c1
Sep 5499,179g 69s 18c2
Sep 4339,764g 32s 26c1
Sep 3583,983g 81s 29c1
Sep 2384,197g 57s 48c2
Sep 1329,957g 24s 33c2
Aug 31317,334g 10s 68c2
Aug 30254,441g 46s 0c2
Aug 29273,223g 48s 73c2
Aug 28208,882g 59s 55c2
Aug 27135,099g 21s 36c2
Aug 26134,085g 19s 44c1

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 Warflesh Breeches 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