Skip to main content

Webbed Pants

CommonCloth
Open in the auction house

Advertisements

Price

Last scan Oct 17, 2026, 00:00 UTC

Market value on Tichondrius (US)

49,000g 0s 0c
Lowest buyout
49,000g 0s 0c
Listings
1
Set price alert
  • Blizzard, hourly
  • 158 scans
How prices are measured
  • Webbed Pants
  • Item Level: 2
  • LegsCloth
  • Required Level: 1
  • Sell price: 7c
Sources: dropped by 1 source

Sources

  • Drops from 1 source.

Dropped by, 1 source

  • Night Web Spider0.06% drop chance

Most sources come from Blizzard's game data.

Advertisements

Market

Tichondrius (US)

Price History

Tichondrius (US)
Low
2,500g 0s 0c
Average
76,291g 45s 76c
High
160,719g 9s 0c
Samples
158
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 Webbed Pants, 1 week, Tichondrius (US)
Time (UTC)MinAverageQuantity
Mar 10, 00214,079g214,079g1
Mar 11, 00160,550g160,550g2
Mar 12, 00160,550g160,550g2
Mar 13, 00160,550g160,550g1
Mar 14, 00230,068g230,068g1
Mar 16, 00160,827g160,827g1
Mar 17, 0080,363g80,363g1
Mar 19, 00198,820g198,820g1
Mar 21, 00160,719g160,719g2
Apr 5, 0080,357g80,357g1
Apr 7, 0079,205g79,205g1
Apr 8, 0079,205g79,205g2
Apr 9, 0079,205g79,266g1
Apr 10, 0079,753g79,753g1
Apr 11, 0079,753g79,753g1
Apr 12, 0079,930g79,930g1
Apr 13, 0079,930g79,930g1
Apr 14, 0079,930g79,938g1
Apr 15, 0079,946g79,946g1
Apr 16, 0079,930g79,945g2
Apr 17, 0079,930g79,930g1
Apr 18, 0079,930g79,930g1
Apr 19, 0079,919g79,919g2
Apr 20, 0079,919g79,919g2
Apr 21, 0079,919g104,452g1
Apr 22, 00152,552g152,552g2
Apr 23, 00152,552g152,552g2
Apr 24, 00152,552g152,552g1
Apr 25, 00121,724g130,972g1
Apr 26, 00121,724g121,724g2
Apr 27, 00121,724g123,535g2
Apr 28, 0079,921g118,049g1
Apr 29, 0079,921g79,921g1
Apr 30, 0079,921g79,921g1
May 1, 00123,322g123,322g2
May 2, 00123,322g123,322g2
May 3, 00123,322g123,322g2
May 4, 00156,365g156,365g2
May 5, 00156,365g156,365g2
May 6, 00156,365g156,365g2
May 7, 0079,914g86,285g2
May 8, 0079,914g79,914g2
May 9, 0079,914g79,914g2
May 10, 0079,914g79,914g3
May 11, 0079,914g79,914g2
May 12, 0079,914g122,830g1
May 13, 00144,289g144,289g2
May 14, 00144,289g144,289g2
May 15, 00144,289g144,289g2
May 16, 00144,289g144,289g2
May 17, 00144,289g144,289g2
May 18, 00144,289g144,289g2
May 19, 00144,289g144,289g2
May 20, 00191,512g191,512g1
May 21, 0087,906g113,807g1
May 22, 0087,906g87,906g2
May 23, 0087,906g89,181g2
May 24, 0090,455g90,455g2
May 25, 0062,797g71,440g3
May 26, 0062,797g62,797g3
May 27, 0062,797g65,343g2
May 28, 0071,706g71,706g1
May 29, 0070,059g71,579g3
May 30, 0070,059g70,686g3
May 31, 0070,059g70,059g2
Jun 1, 0069,823g69,823g2
Jun 2, 0069,823g70,108g3
Jun 3, 0069,823g70,859g2
Jun 4, 0069,823g70,359g3
Jun 5, 0069,749g69,749g2
Jun 6, 0069,749g69,749g2
Jun 7, 0069,749g69,767g2
Jun 8, 0069,749g69,812g2
Jun 9, 0069,749g69,797g3
Jun 10, 0068,945g69,213g2
Jun 11, 0068,945g68,945g2
Jun 12, 0054,486g67,499g3
Jun 13, 0054,486g54,486g2
Jun 14, 0054,486g54,486g2
Jun 15, 0093,745g93,745g1
Jun 17, 0088,214g88,214g1
Jun 20, 0086,154g86,154g1
Jun 24, 0077,271g77,271g1
Jun 25, 0054,341g73,255g1
Jun 26, 0054,341g62,794g2
Jun 27, 0054,341g54,341g1
Jun 29, 0079,722g79,722g1
Jun 30, 0079,722g79,722g1
Jul 6, 002,500g2,500g1
Jul 10, 0044,984g44,984g1
Jul 11, 0044,984g44,984g1
Jul 12, 0044,984g44,984g1
Jul 13, 0044,984g44,984g1
Jul 14, 0044,984g44,984g1
Jul 15, 0048,263g48,263g1
Jul 16, 0048,263g48,263g1
Jul 17, 0048,263g48,263g1
Jul 18, 0048,573g48,573g1
Jul 19, 0048,573g48,573g1
Jul 20, 0048,573g48,573g1
Jul 23, 0036,750g36,750g1
Jul 24, 0036,750g36,750g1
Jul 25, 0036,750g60,301g2
Jul 26, 0092,684g92,684g1
Jul 27, 0015,000g15,000g1
Jul 28, 0015,000g15,000g1
Aug 1, 0045,159g45,159g1
Aug 2, 0045,159g45,159g1
Aug 8, 0036,459g50,591g1
Aug 9, 0036,459g39,720g1
Aug 10, 0036,459g36,459g1
Aug 18, 0036,496g36,496g1
Aug 19, 0036,496g36,496g1
Aug 20, 0036,496g36,496g1
Aug 21, 0036,480g36,480g1
Aug 22, 0036,480g36,480g1
Aug 23, 0036,480g36,480g1
Aug 29, 0036,480g36,480g1
Aug 30, 0036,480g36,480g1
Aug 31, 0036,480g36,480g1
Sep 5, 0049,000g49,000g1
Sep 6, 0048,823g48,989g1
Sep 7, 0048,823g48,832g1
Sep 8, 0048,858g48,990g1
Sep 9, 0048,858g48,859g1
Sep 10, 0048,874g48,874g1
Sep 11, 0048,871g48,871g1
Sep 12, 0048,852g48,852g1
Sep 13, 0048,852g48,858g1
Sep 14, 0036,657g43,172g2
Sep 15, 0036,657g42,356g2
Sep 16, 0036,657g40,764g2
Sep 17, 0036,693g42,808g2
Sep 18, 0036,690g43,127g2
Sep 19, 0036,690g41,191g2
Sep 20, 0036,690g38,838g2
Sep 21, 0036,690g44,438g2
Sep 22, 0048,874g48,875g2
Sep 23, 0048,874g48,880g2
Sep 24, 0036,664g41,553g2
Sep 25, 0036,664g36,664g2
Sep 26, 0036,664g38,410g1
Sep 27, 0048,883g48,883g1
Sep 28, 0048,882g48,882g1
Sep 29, 0048,881g48,882g1
Sep 30, 0048,881g48,883g1
Oct 1, 0036,663g40,482g2
Oct 2, 0036,663g36,663g2
Oct 3, 0036,663g36,663g1
Oct 4, 0048,886g48,886g1
Oct 5, 0048,885g48,886g1
Oct 6, 0048,885g48,885g1
Oct 7, 0048,885g48,885g1
Oct 8, 0036,664g40,553g2
Oct 9, 0036,664g36,664g2
Oct 15, 0049,000g49,000g1
Oct 16, 0049,000g49,000g1
Oct 17, 0049,000g49,000g1
  • Min
  • Average
  • Quantity
  • Latest lowest price
Daily market value for Webbed Pants
DayMarket valueListings
Oct 1749,000g 0s 0c1
Oct 1649,000g 0s 0c1
Oct 1549,000g 0s 0c1
Oct 936,664g 3s 0c2
Oct 840,552g 63s 82c2
Oct 748,885g 37s 0c1
Oct 648,884g 87s 0c1
Oct 548,885g 56s 13c1
Oct 448,885g 66s 0c1
Oct 336,663g 33s 0c1
Oct 236,663g 33s 0c2
Oct 140,482g 42s 69c2
Sep 3048,882g 54s 36c1
Sep 2948,881g 58s 46c1
Sep 2848,881g 64s 0c1
Sep 2748,883g 45s 0c1
Sep 2638,409g 85s 0c1
Sep 2536,664g 25s 0c2
Sep 2441,552g 81s 40c2
Sep 2348,879g 93s 50c2
Sep 2248,875g 16s 42c2
Sep 2144,437g 53s 73c2
Sep 2038,837g 71s 0c2
Sep 1941,191g 32s 79c2
Sep 1843,126g 98s 95c2
Sep 1742,808g 2s 44c2
Sep 1640,763g 73s 67c2
Sep 1542,355g 86s 53c2
Sep 1443,172g 45s 87c2
Sep 1348,857g 57s 89c1

Sparse data for 1 week — showing all available history.

Trading hours: the cheaper and dearer hours of the week, in your time

Trading Hours

See when Webbed Pants tends to trade below or above its usual price, based on the last 30 days.

The grid follows the auction week in UTC. Your local time (UTC+0) is shown alongside.

Loading trading hours
Cheaper than usualTypicalMore expensive than usualLimited data