Skip to main content

Master Cookbook

CommonCooking
Open in the auction house

Advertisements

Price

Last scan Oct 7, 2026, 00:00 UTC

Last seen price on Draenor (EU)

199,999g 99s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
199,999g 99s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 144 scans
How prices are measured
  • Master Cookbook
  • Item Level: 23
  • Cooking
  • Sell price: 50s 0c
Sources: 1 recipe

Sources

Recipe, 1 source

  • a Master Cook, allowing a maximum of 375 cooking skill

Most sources come from published game data.

Advertisements

Market

Draenor (EU)

Price History

Draenor (EU)
Low
99,999g 99s 0c
Average
336,943g 53s 76c
High
999,999g 99s 0c
Samples
144
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 Master Cookbook, 1 week, Draenor (EU)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 00150,000g150,000g1
Mar 2, 00150,000g166,667g1
Mar 3, 00200,000g200,000g1
Mar 4, 00200,000g200,000g1
Mar 8, 00200,000g200,000g1
Mar 10, 00300,000g300,000g1
Mar 14, 00400,000g400,000g1
Mar 17, 00300,000g300,000g1
Mar 18, 00300,000g300,000g1
Mar 20, 00300,000g300,000g1
Mar 22, 00300,000g300,000g1
Mar 30, 00300,000g300,000g1
Apr 8, 00300,000g300,000g1
Apr 9, 00300,000g300,000g1
Apr 10, 00300,000g325,000g1
Apr 11, 00300,000g377,778g1
Apr 12, 00300,000g300,000g1
Apr 13, 00300,000g300,000g1
Apr 14, 00300,000g328,571g1
Apr 15, 00300,000g387,500g1
Apr 16, 00300,000g300,000g1
Apr 17, 00300,000g300,000g1
Apr 18, 00300,000g300,000g1
Apr 19, 00300,000g300,000g1
Apr 20, 00300,000g300,000g1
Apr 21, 00300,000g300,000g1
Apr 22, 00300,000g300,000g1
Apr 23, 00300,000g300,000g1
Apr 24, 00300,000g300,000g1
Apr 25, 00300,000g300,000g1
Apr 26, 00300,000g300,000g1
Apr 27, 00300,000g300,000g1
Apr 28, 00200,000g280,000g1
Apr 29, 00300,000g300,000g1
Apr 30, 00300,000g300,000g1
May 1, 00300,000g300,000g1
May 2, 00300,000g300,000g1
May 3, 00300,000g300,000g1
May 4, 00300,000g300,000g1
May 5, 00300,000g300,000g1
May 6, 00200,000g262,500g1
May 7, 00200,000g233,333g1
May 8, 00200,000g262,500g1
May 9, 00200,000g200,000g1
May 10, 00150,000g187,500g1
May 11, 00150,000g150,000g1
May 12, 00150,000g159,091g1
May 13, 00200,000g200,000g1
May 14, 00200,000g200,000g1
May 15, 00200,000g250,000g1
May 16, 00300,000g300,000g1
May 17, 00300,000g300,000g1
May 18, 00150,000g150,000g1
May 19, 00200,000g200,000g1
May 20, 00200,000g200,000g1
May 21, 00200,000g200,000g1
May 22, 00100,000g150,000g1
May 23, 00100,000g100,000g1
May 24, 00100,000g100,000g1
May 25, 00100,000g100,000g1
May 26, 00100,000g100,000g1
May 27, 00150,000g150,000g1
May 28, 00200,000g200,000g1
May 30, 00300,000g300,000g1
May 31, 00300,000g300,000g1
Jun 1, 00300,000g300,000g1
Jun 3, 00400,000g400,000g1
Jun 4, 00400,000g400,000g1
Jun 5, 00400,000g400,000g1
Jun 8, 00500,000g500,000g1
Jun 9, 00500,000g500,000g1
Jun 10, 00400,000g400,000g1
Jun 11, 00500,000g500,000g1
Jun 12, 00700,000g700,000g1
Jun 13, 00700,000g700,000g1
Jun 14, 00700,000g900,000g1
Aug 1, 00500,000g500,000g1
Aug 2, 00500,000g500,000g1
Aug 3, 00500,000g500,000g1
Aug 4, 00500,000g516,667g1
Aug 5, 00500,000g588,889g1
Aug 6, 00400,000g442,857g1
Aug 7, 00400,000g494,118g1
Aug 8, 00600,000g600,000g1
Aug 9, 00400,000g541,176g1
Aug 10, 00400,000g447,059g1
Aug 11, 00600,000g600,000g1
Aug 12, 00500,000g566,667g1
Aug 13, 00500,000g523,077g1
Aug 14, 00600,000g600,000g1
Aug 15, 00600,000g600,000g1
Aug 16, 00600,000g600,000g1
Aug 17, 00600,000g600,000g1
Aug 18, 00600,000g610,526g1
Aug 19, 00700,000g700,000g1
Aug 20, 00200,000g200,000g1
Aug 21, 00200,000g200,000g1
Aug 22, 00200,000g200,000g1
Aug 23, 00300,000g300,000g1
Aug 24, 00300,000g300,000g1
Aug 25, 00300,000g300,000g1
Aug 26, 00300,000g673,333g1
Aug 27, 001,000,000g1,000,000g1
Aug 28, 00500,000g500,000g1
Aug 29, 00500,000g500,000g1
Aug 30, 00300,000g300,000g1
Aug 31, 00200,000g280,000g1
Sep 1, 00200,000g220,000g1
Sep 2, 00300,000g300,000g1
Sep 3, 00500,000g500,000g1
Sep 4, 00300,000g476,471g1
Sep 5, 00200,000g293,750g1
Sep 6, 00200,000g200,000g1
Sep 7, 00150,000g191,667g1
Sep 8, 00150,000g150,000g1
Sep 9, 00200,000g200,000g1
Sep 10, 00150,000g150,000g1
Sep 11, 00150,000g150,000g1
Sep 12, 00150,000g155,556g1
Sep 13, 00200,000g237,500g1
Sep 14, 00100,000g211,111g1
Sep 15, 00100,000g137,500g1
Sep 16, 00200,000g200,000g1
Sep 17, 00150,000g172,222g1
Sep 18, 00150,000g225,000g1
Sep 19, 00300,000g300,000g1
Sep 20, 00300,000g300,000g1
Sep 21, 00300,000g342,857g1
Sep 22, 00500,000g585,714g1
Sep 23, 00500,000g514,286g1
Sep 24, 00600,000g600,000g1
Sep 25, 00300,000g350,000g1
Sep 26, 00500,000g500,000g1
Sep 27, 00500,000g500,000g1
Sep 28, 00300,000g414,286g1
Sep 29, 00300,000g407,143g1
Sep 30, 00200,000g480,000g1
Oct 1, 00200,000g200,000g1
Oct 2, 00200,000g200,000g1
Oct 3, 00200,000g200,000g1
Oct 4, 00200,000g200,000g1
Oct 5, 00200,000g200,000g1
Oct 6, 00200,000g200,000g1
Oct 7, 00200,000g200,000g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Master Cookbook
Day (UTC)AverageUnits listed
Oct 7199,999g 99s 0c1
Oct 6199,999g 99s 0c1
Oct 5199,999g 99s 0c1
Oct 4199,999g 99s 0c1
Oct 3199,999g 99s 0c1
Oct 2199,999g 99s 0c1
Oct 1199,999g 99s 0c1
Sep 30479,999g 99s 0c1
Sep 29407,142g 84s 71c1
Sep 28414,285g 70s 43c1
Sep 27499,999g 99s 0c1
Sep 26499,999g 99s 0c1
Sep 25349,999g 99s 0c1
Sep 24599,999g 99s 0c1
Sep 23514,285g 70s 43c1
Sep 22585,714g 27s 57c1
Sep 21342,857g 13s 29c1
Sep 20299,999g 99s 0c1
Sep 19299,999g 99s 0c1
Sep 18224,999g 99s 0c1
Sep 17172,222g 21s 22c1
Sep 16199,999g 99s 0c1
Sep 15137,499g 99s 0c1
Sep 14211,111g 10s 11c1
Sep 13237,499g 99s 0c1
Sep 12155,555g 54s 56c1
Sep 11149,999g 99s 0c1
Sep 10149,999g 99s 0c1
Sep 9199,999g 99s 0c1
Sep 8149,999g 99s 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 Master Cookbook 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