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Footpad's Pants

CommonLeather
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Price

Market value on Barthilas (US)

76g 61s 0c
Lowest buyout
76g 61s 0c
Listings
1
  • Regional auction data, hourly
  • 39 scans
How prices are measured
  • Footpad's Pants
  • Item Level: 1
  • Binds when equipped
  • LegsLeather
  • Required Level: 1
  • Sell price: 7c
Sources: sold by 1 vendor

Sources

  • Sold by 1 vendor.

Sold by vendors, 1 source

  • Lara MooreCost per purchase38c+2,015,952.6% auction price against vendor

Most sources come from published game data.

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Market

Barthilas (US)

Price History

Barthilas (US)
Low
76g 61s 0c
Average
76g 61s 0c
High
76g 61s 0c
Samples
39
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 Footpad's Pants, 1 week, Barthilas (US)
Time (UTC)Lowest buyoutAverageQuantity
Nov 1, 0377g77g1
Nov 1, 0677g77g1
Nov 1, 0977g77g1
Nov 1, 1277g77g1
Nov 1, 1577g77g1
Nov 1, 1877g77g1
Nov 1, 2177g77g1
Nov 2, 0077g77g1
Nov 2, 0377g77g1
Nov 3, 0677g77g1
Nov 3, 0977g77g1
Nov 3, 1277g77g1
Nov 3, 1577g77g1
Nov 3, 1877g77g1
Nov 3, 2177g77g1
Nov 4, 0077g77g1
Nov 4, 0377g77g1
Nov 4, 0677g77g1
Nov 4, 0977g77g1
Nov 4, 1277g77g1
Nov 4, 1577g77g1
Nov 4, 1877g77g1
Nov 4, 2177g77g1
Nov 5, 0077g77g1
Nov 5, 0377g77g1
Nov 5, 0677g77g1
Nov 5, 0977g77g1
Nov 6, 0677g77g1
Nov 6, 0977g77g1
Nov 6, 1277g77g1
Nov 6, 1577g77g1
Nov 6, 1877g77g1
Nov 6, 2177g77g1
Nov 7, 0077g77g1
Nov 7, 0377g77g1
Nov 7, 0677g77g1
Nov 7, 2177g77g1
Nov 8, 0077g77g1
Nov 8, 0377g77g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Footpad's Pants
Day (UTC)AverageUnits listed
Nov 876g 61s 0c1
Nov 776g 61s 0c1
Nov 676g 61s 0c1
Nov 576g 61s 0c1
Nov 476g 61s 0c1
Nov 376g 61s 0c1
Nov 276g 61s 0c1
Nov 176g 61s 0c1

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

Trading Hours

See when Footpad's Pants 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