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Cobalt Crusher

RareMace
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Price

Last scan Nov 3, 2026, 00:00 UTC

Last seen price on Borean Tundra (US)

200g 0s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
200g 0s 0c
Listings at that scan
1
  • Cobalt Crusher
  • Item Level: 20
  • Binds when equipped
  • Two-HandMace
  • Required Level: 13
  • Sell price: 58s 48c
Sources: dropped by 4 sources

Sources

  • Drops from 4 sources.

Dropped by, 4 sources

  • Scarlet Centurion
  • Bloodmage Thalnos0.01% drop chance
  • Scarlet Judicator
  • Scarlet Zealot0.04% drop chance

Most sources come from published game data.

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Market

Borean Tundra (US)

Price History

Borean Tundra (US)
Low
200g 0s 0c
Average
267,422g 26s 31c
High
525,838g 77s 0c
Samples
223
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 Cobalt Crusher, 1 week, Borean Tundra (US)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 00222,537g222,537g2
Mar 2, 00222,466g222,515g3
Mar 3, 00222,466g222,504g2
Mar 4, 00222,466g222,466g2
Mar 8, 00218,487g219,055g4
Mar 9, 00205,450g214,141g3
Mar 10, 00165,001g191,839g4
Mar 11, 00165,001g165,001g2
Mar 12, 00165,001g165,001g3
Mar 13, 00165,001g165,001g3
Mar 14, 00165,001g165,001g4
Mar 15, 00165,000g165,000g3
Mar 18, 00165,000g165,000g3
Mar 25, 00366,656g366,656g1
Mar 27, 00366,656g366,656g1
Apr 1, 00509,842g509,842g1
Apr 3, 00252,364g381,421g2
Apr 8, 00272,698g391,772g2
Apr 9, 00272,698g391,772g2
Apr 10, 00272,698g292,543g1
Apr 11, 00272,698g272,698g1
Apr 12, 00272,698g272,698g2
Apr 13, 00272,698g272,698g1
Apr 14, 00272,698g391,548g1
Apr 15, 00250,346g406,378g2
Apr 16, 00250,346g452,621g1
Apr 17, 00510,502g510,502g1
Apr 18, 00504,794g509,551g2
Apr 19, 00230,534g342,064g3
Apr 20, 00230,534g297,193g3
Apr 21, 00230,534g468,925g1
Apr 22, 00208,262g404,479g2
Apr 23, 00208,262g239,096g3
Apr 24, 00208,262g208,262g2
Apr 25, 00201,004g203,424g2
Apr 26, 00201,004g201,004g2
Apr 27, 00110,000g189,629g1
Apr 28, 00110,000g110,000g2
Apr 29, 00110,000g110,000g1
Apr 30, 00487,505g487,505g1
May 1, 00487,505g487,505g1
May 2, 00487,505g494,530g1
May 3, 00499,214g499,214g1
May 4, 00226,039g317,097g2
May 5, 00226,039g226,039g2
May 6, 00226,039g226,039g1
May 7, 00506,886g506,886g1
May 8, 00506,886g506,886g1
May 9, 00502,749g502,749g1
May 10, 00502,749g502,749g1
May 11, 00250,346g250,346g2
May 12, 00250,346g250,346g2
May 13, 00250,346g250,346g1
May 14, 00503,006g503,006g1
May 15, 00503,006g503,006g1
May 16, 00502,147g502,147g1
May 17, 00502,147g502,147g1
May 18, 00502,147g502,147g1
May 19, 00502,210g502,210g1
May 20, 00359,609g473,690g1
May 21, 00359,609g359,609g2
May 22, 00359,609g359,609g1
May 23, 00502,181g502,181g1
May 24, 00502,181g502,181g1
May 25, 00502,181g502,181g1
May 26, 00502,176g502,176g1
May 27, 00297,159g358,664g2
May 28, 00297,159g297,159g2
May 29, 00297,159g411,499g1
May 30, 00525,839g525,839g1
May 31, 00525,839g525,839g1
Jun 1, 00505,995g505,995g1
Jun 2, 00296,826g380,494g2
Jun 3, 00296,826g296,826g2
Jun 4, 00296,826g296,826g1
Jun 5, 00502,309g502,309g1
Jun 6, 00502,309g502,309g1
Jun 8, 00280,991g411,100g3
Jun 9, 00280,991g411,100g3
Jun 11, 00280,991g280,991g3
Jun 12, 00224,099g286,942g2
Jun 13, 00224,099g265,994g3
Jun 14, 00224,099g224,099g2
Jun 17, 00224,099g224,099g2
Jun 18, 00224,099g224,099g1
Jun 19, 00224,099g224,099g2
Jun 20, 00224,099g224,099g2
Jun 21, 00224,099g224,099g2
Jun 22, 00224,099g224,099g2
Jun 23, 00224,099g224,099g2
Jun 24, 00224,099g224,099g2
Jun 25, 00224,099g224,099g1
Jun 26, 00224,099g224,099g2
Jun 27, 00224,099g224,099g2
Jun 28, 00224,099g224,099g2
Jun 29, 00224,099g224,099g3
Jun 30, 00203,816g221,845g3
Jul 1, 00203,816g213,957g2
Jul 2, 00202,660g203,643g3
Jul 3, 00202,660g203,372g3
Jul 4, 00202,660g202,743g2
Jul 5, 00202,660g202,660g2
Jul 6, 00202,660g202,660g1
Jul 7, 00201,455g379,121g2
Jul 8, 00201,455g352,202g3
Jul 9, 00201,455g324,809g1
Jul 10, 00427,631g427,631g2
Jul 11, 00427,631g427,631g2
Jul 12, 00427,631g427,631g1
Jul 13, 00427,631g427,631g1
Jul 14, 00427,631g427,631g2
Jul 15, 00427,631g427,631g2
Jul 16, 00427,631g427,631g1
Jul 17, 00427,631g427,631g2
Jul 18, 00427,631g427,631g2
Jul 19, 00427,631g427,631g2
Jul 20, 00427,631g427,631g2
Jul 21, 00427,631g427,631g2
Jul 22, 00427,631g427,631g2
Jul 23, 00427,631g427,631g1
Jul 24, 00427,631g427,631g1
Jul 25, 00427,631g427,631g2
Jul 26, 00427,631g427,631g2
Jul 27, 00427,631g427,631g2
Jul 28, 00427,631g427,631g2
Jul 29, 00427,631g427,631g1
Jul 30, 00427,631g427,631g2
Jul 31, 00427,631g427,631g2
Aug 1, 00297,483g367,595g2
Aug 2, 00297,483g340,629g3
Aug 3, 00297,483g307,440g2
Aug 4, 00297,483g297,483g2
Aug 5, 00297,483g297,483g2
Aug 6, 00426,933g426,933g2
Aug 7, 00426,933g426,933g2
Aug 8, 00426,933g426,999g1
Aug 9, 00277,824g423,409g2
Aug 10, 00277,824g374,381g3
Aug 11, 00277,824g277,824g2
Aug 12, 00277,824g277,824g1
Aug 13, 00277,824g277,824g2
Aug 14, 00277,824g277,824g2
Aug 15, 00277,824g277,824g2
Aug 16, 00277,824g277,824g2
Aug 17, 00152,580g250,597g1
Aug 18, 00152,580g152,580g2
Aug 19, 00152,580g152,580g2
Aug 20, 00152,580g152,580g2
Aug 21, 00152,580g152,580g2
Aug 22, 00152,480g152,556g1
Aug 23, 00152,480g152,480g2
Aug 24, 00152,480g152,480g2
Aug 25, 00152,480g152,480g2
Aug 26, 00152,480g152,480g2
Aug 27, 00152,480g152,480g2
Aug 28, 00152,480g152,480g2
Aug 29, 00152,480g152,480g1
Aug 30, 00152,480g152,480g2
Aug 31, 00152,480g152,480g3
Sep 1, 00152,480g152,480g2
Sep 2, 00152,480g152,480g3
Sep 3, 00152,480g152,480g2
Sep 4, 00152,480g152,480g2
Sep 5, 00152,480g152,480g2
Sep 6, 00152,480g152,480g2
Sep 7, 00152,480g152,480g2
Sep 8, 00152,480g152,480g3
Sep 9, 00152,480g152,480g3
Sep 10, 00152,480g152,480g1
Sep 11, 00152,480g152,480g1
Sep 12, 00152,480g152,480g1
Sep 13, 00152,480g152,480g2
Sep 14, 00152,480g152,480g2
Sep 15, 00152,480g152,480g1
Sep 16, 00152,448g152,472g1
Sep 17, 00152,448g152,448g1
Sep 18, 00152,448g152,448g1
Sep 19, 00152,448g152,448g1
Sep 20, 00152,448g152,448g1
Sep 21, 00149,858g151,153g1
Sep 22, 00149,858g149,858g1
Sep 23, 00145,729g148,678g1
Sep 24, 00145,729g145,729g1
Sep 25, 00145,729g145,729g1
Sep 26, 00138,586g138,586g1
Sep 27, 00138,586g138,586g2
Sep 28, 00138,586g138,586g1
Sep 29, 00138,586g138,586g1
Sep 30, 00137,749g138,434g1
Oct 1, 00137,749g137,749g1
Oct 2, 00137,749g137,749g1
Oct 3, 00137,749g137,749g1
Oct 4, 00137,045g137,671g1
Oct 5, 00137,045g137,045g1
Oct 6, 00136,273g136,985g1
Oct 7, 00136,273g136,273g1
Oct 8, 00136,273g136,273g1
Oct 9, 00135,491g135,491g1
Oct 10, 00135,488g135,490g2
Oct 11, 00135,486g135,488g2
Oct 12, 00135,486g135,487g2
Oct 13, 00135,486g135,487g2
Oct 14, 00174,646g174,647g2
Oct 15, 00174,646g174,646g2
Oct 16, 00160,737g173,182g2
Oct 17, 00160,737g160,737g1
Oct 18, 00147,540g156,569g2
Oct 19, 00147,540g151,206g2
Oct 20, 00128,210g130,847g2
Oct 21, 006,413g103,008g2
Oct 22, 006,413g70,554g2
Oct 23, 004,750g55,441g1
Oct 24, 004,750g66,296g2
Oct 25, 004,750g61,562g1
Oct 26, 004,750g4,988g1
Oct 27, 005,225g5,678g1
Oct 28, 006,413g6,755g1
Oct 29, 006,413g9,240g1
Oct 30, 006,413g6,413g1
Oct 31, 006,413g6,413g1
Nov 1, 005,225g6,017g1
Nov 2, 005,225g5,225g1
Nov 3, 00200g200g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Cobalt Crusher
Day (UTC)AverageUnits listed
Nov 3200g 0s 0c1
Nov 25,225g 28s 0c1
Nov 16,016g 76s 0c1
Oct 316,412g 50s 0c1
Oct 306,412g 50s 0c1
Oct 299,240g 23s 33c1
Oct 286,755g 25s 56c1
Oct 275,677g 55s 43c1
Oct 264,987g 64s 0c1
Oct 2561,561g 78s 24c1
Oct 2466,296g 9s 76c2
Oct 2355,441g 15s 25c1
Oct 2270,553g 90s 32c2
Oct 21103,008g 1s 65c2
Oct 20130,846g 63s 32c2
Oct 19151,206g 2s 39c2
Oct 18156,569g 46s 89c2
Oct 17160,736g 75s 0c1
Oct 16173,182g 10s 89c2
Oct 15174,646g 31s 50c2
Oct 14174,646g 57s 67c2
Oct 13135,486g 79s 50c2
Oct 12135,486g 79s 50c2
Oct 11135,487g 99s 32c2
Oct 10135,489g 57s 27c2
Oct 9135,490g 72s 0c1
Oct 8136,273g 11s 0c1
Oct 7136,273g 11s 0c1
Oct 6136,985g 26s 38c1
Oct 5137,044g 61s 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 Cobalt Crusher 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