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Bloodspiller

RareAxe
Open in the auction house

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Price

Last scan Nov 6, 2026, 00:00 UTC

Last seen price on Khaz Modan (EU)

30,000g 0s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
30,000g 0s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 224 scans
How prices are measured
  • Bloodspiller
  • Item Level: 19
  • Binds when equipped
  • Two-HandAxe
  • Required Level: 12
  • Sell price: 47s 49c
Sources: dropped by 12 sources

Sources

  • Drops from 12 sources.

Dropped by, 12 sources

  • Scarlet Scout0.01% drop chance
  • Master Archer
  • Interrogator Vishas0.01% drop chance
  • Starving Hound
  • Scarlet Pupil
  • Scarlet Zealot0.01% drop chance
  • Scarlet Centurion0.01% drop chance
  • Scarlet Flamethrower0.01% drop chance
  • Scarlet Initiate0.03% drop chance
  • Scarlet Sentry0.03% drop chance
  • Frenzied Spirit0.05% drop chance
  • Scarlet Judicator0.02% drop chance

Most sources come from published game data.

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Market

Khaz Modan (EU)

Price History

Khaz Modan (EU)
Low
2,850g 19s 0c
Average
48,880g 47s 50c
High
65,000g 92s 0c
Samples
224
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 Bloodspiller, 1 week, Khaz Modan (EU)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 0049,999g53,250g3
Mar 2, 0049,499g53,215g3
Mar 3, 0049,499g50,182g2
Mar 4, 0049,499g49,499g2
Mar 8, 0048,499g48,499g3
Mar 10, 0047,999g51,999g3
Mar 12, 0047,499g47,499g2
Mar 15, 0046,499g46,624g2
Mar 19, 0049,999g53,333g2
Mar 21, 0049,499g49,499g2
Mar 27, 0049,999g49,999g2
Apr 2, 0049,999g49,999g2
Apr 3, 0049,999g49,999g3
Apr 4, 0049,999g49,999g3
Apr 8, 0049,999g53,333g3
Apr 9, 0049,999g53,333g3
Apr 10, 0049,999g50,499g3
Apr 11, 0049,999g49,999g3
Apr 12, 0049,999g49,999g2
Apr 13, 0049,999g49,999g2
Apr 14, 0049,999g49,999g2
Apr 15, 0049,999g49,999g2
Apr 16, 0049,999g49,999g2
Apr 17, 0049,999g49,999g1
Apr 18, 0049,999g49,999g2
Apr 19, 0049,999g49,999g2
Apr 20, 0049,999g49,999g2
Apr 21, 0049,999g49,999g2
Apr 22, 0049,999g50,999g2
Apr 23, 0060,001g60,001g1
Apr 24, 0060,001g60,001g1
Apr 25, 0060,001g60,001g1
Apr 26, 0060,001g60,001g2
Apr 27, 005,464g55,043g1
Apr 28, 0060,001g60,001g1
Apr 29, 0060,001g60,001g1
Apr 30, 0059,751g59,876g1
May 1, 0059,751g59,751g2
May 2, 0059,751g60,228g2
May 3, 0065,001g65,001g1
May 4, 0065,001g65,001g1
May 5, 0065,001g65,001g1
May 6, 0065,001g65,001g1
May 7, 0065,001g65,001g1
May 8, 0065,001g65,001g2
May 9, 0065,001g65,001g2
May 11, 0065,001g65,001g1
May 12, 0065,001g65,001g1
May 13, 0065,001g65,001g1
May 14, 0065,001g65,001g1
May 15, 0065,001g65,001g2
May 16, 0065,001g65,001g2
May 17, 0065,001g65,001g1
May 18, 0065,001g65,001g1
May 19, 0065,001g65,001g1
May 20, 0065,001g65,001g1
May 21, 0065,001g65,001g1
May 22, 0064,815g64,890g2
May 23, 0064,815g64,815g2
May 24, 0064,815g64,815g2
May 25, 0064,815g64,815g2
May 26, 0064,815g64,815g2
May 27, 0065,001g65,001g1
May 28, 0065,001g65,001g1
May 29, 0064,751g64,751g3
May 30, 0064,751g64,751g3
May 31, 0064,751g64,945g2
Jun 1, 0065,001g65,001g2
Jun 2, 0065,001g65,001g2
Jun 3, 0065,001g65,001g2
Jun 4, 0065,001g65,001g2
Jun 5, 0065,001g65,001g2
Jun 6, 0065,001g65,001g2
Jun 7, 0065,001g65,001g2
Jun 8, 0065,001g65,001g2
Jun 9, 0065,001g65,001g1
Jun 10, 0065,001g65,001g2
Jun 11, 0065,001g65,001g3
Jun 12, 0065,001g65,001g3
Jun 13, 0065,001g65,001g3
Jun 14, 0065,001g65,001g4
Jun 15, 0065,001g65,001g3
Jun 16, 0065,001g65,001g3
Jun 17, 0065,001g65,001g3
Jun 18, 0065,001g65,001g3
Jun 19, 0065,001g65,001g3
Jun 20, 0065,001g65,001g3
Jun 21, 0065,001g65,001g2
Jun 22, 0065,001g65,001g2
Jun 23, 0065,001g65,001g1
Jun 24, 0065,001g65,001g2
Jun 25, 0064,751g64,886g3
Jun 26, 0064,751g64,799g4
Jun 27, 0064,751g64,751g2
Jun 28, 0064,751g64,751g2
Jun 29, 0064,751g64,751g2
Jun 30, 0064,751g64,751g2
Jul 1, 0064,501g64,709g4
Jul 2, 0064,501g64,632g5
Jul 3, 0064,501g64,527g3
Jul 4, 0064,501g64,501g3
Jul 5, 0064,501g64,501g3
Jul 6, 0064,501g64,501g2
Jul 7, 0064,501g64,501g3
Jul 8, 0064,501g64,501g2
Jul 9, 0064,501g64,501g2
Jul 10, 0064,501g64,501g3
Jul 11, 0064,501g64,501g3
Jul 12, 0064,501g64,501g3
Jul 13, 0064,501g64,501g3
Jul 14, 0064,501g64,501g3
Jul 15, 0064,501g64,501g2
Jul 16, 0064,501g64,501g2
Jul 17, 0064,501g64,501g2
Jul 18, 0064,501g64,501g2
Jul 19, 0064,501g64,501g2
Jul 20, 0064,501g64,501g2
Jul 21, 0064,501g64,501g2
Jul 22, 0064,501g64,501g3
Jul 23, 0064,501g64,501g3
Jul 24, 0064,501g64,501g3
Jul 25, 0064,501g64,501g3
Jul 26, 0064,251g64,393g3
Jul 27, 0064,251g64,251g3
Jul 28, 0064,251g64,251g3
Jul 29, 0064,251g64,251g2
Jul 30, 0064,251g64,251g2
Jul 31, 0051,722g62,634g2
Aug 1, 0051,722g58,228g3
Aug 2, 0051,722g53,415g2
Aug 3, 0051,722g51,722g2
Aug 4, 0051,722g51,722g3
Aug 5, 0051,722g51,722g4
Aug 6, 0051,722g51,722g2
Aug 7, 0051,722g51,722g2
Aug 8, 0051,722g51,722g3
Aug 9, 0051,722g51,722g5
Aug 10, 0051,722g51,722g4
Aug 11, 0051,722g51,722g3
Aug 12, 0051,722g51,722g3
Aug 13, 0051,722g51,722g2
Aug 14, 0051,722g51,722g2
Aug 15, 0051,722g51,722g2
Aug 16, 0051,722g51,722g3
Aug 17, 0051,722g51,722g3
Aug 18, 0051,722g51,722g2
Aug 19, 0051,722g51,722g2
Aug 20, 0051,722g51,722g2
Aug 21, 0051,722g51,722g2
Aug 22, 0051,722g51,722g3
Aug 23, 0051,722g51,722g3
Aug 24, 0051,722g53,053g4
Aug 25, 0051,722g53,792g4
Aug 26, 0051,722g53,337g2
Aug 27, 0041,017g45,537g2
Aug 28, 0041,017g43,634g3
Aug 29, 0041,017g42,856g2
Aug 30, 0045,001g45,001g2
Aug 31, 0045,001g45,001g3
Sep 1, 0045,001g45,001g2
Sep 2, 0045,001g45,001g3
Sep 3, 0045,001g45,001g4
Sep 4, 0045,001g45,001g3
Sep 5, 0045,001g45,001g3
Sep 6, 0045,001g45,001g4
Sep 7, 0045,001g45,001g3
Sep 8, 0045,001g45,001g2
Sep 9, 0032,995g44,077g1
Sep 10, 0032,995g32,995g2
Sep 11, 0029,870g32,400g2
Sep 12, 0029,870g30,230g3
Sep 13, 0029,870g29,870g4
Sep 14, 0029,870g29,870g5
Sep 15, 0029,870g30,946g4
Sep 16, 0029,855g37,398g4
Sep 17, 0029,855g36,254g4
Sep 18, 0029,855g29,855g3
Sep 19, 0029,855g29,855g3
Sep 20, 0029,855g29,855g2
Sep 21, 0029,855g29,855g4
Sep 22, 0029,855g29,855g3
Sep 23, 0029,855g29,855g3
Sep 24, 0029,855g29,855g3
Sep 25, 0029,855g29,855g3
Sep 26, 0029,855g29,855g2
Sep 27, 0029,855g29,855g3
Sep 28, 003,133g26,211g3
Sep 29, 003,133g12,850g2
Sep 30, 002,850g3,062g1
Oct 1, 002,850g12,181g2
Oct 2, 002,850g17,220g2
Oct 3, 002,985g18,908g2
Oct 4, 002,985g15,887g2
Oct 5, 002,985g12,910g2
Oct 6, 002,985g2,985g1
Oct 7, 002,985g9,320g1
Oct 8, 005,972g55,088g1
Oct 9, 005,972g24,171g3
Oct 10, 005,972g14,162g3
Oct 11, 005,972g23,223g2
Oct 12, 0029,858g29,858g1
Oct 13, 0028,583g29,433g1
Oct 14, 005,962g21,514g1
Oct 15, 005,962g15,010g2
Oct 16, 005,962g5,962g1
Oct 17, 005,918g5,951g3
Oct 18, 005,918g5,937g3
Oct 19, 005,918g7,450g3
Oct 20, 005,902g11,579g3
Oct 21, 005,902g10,845g2
Oct 22, 005,902g5,902g2
Oct 23, 005,902g5,902g2
Oct 24, 005,480g5,653g2
Oct 25, 005,480g5,480g2
Oct 26, 005,480g5,480g2
Oct 27, 005,121g5,438g2
Oct 28, 005,121g5,355g3
Oct 29, 005,121g5,278g2
Nov 1, 0019,837g19,837g1
Nov 2, 0019,837g19,837g1
Nov 3, 0019,837g19,837g1
Nov 4, 0030,000g30,000g1
Nov 5, 0030,000g30,000g1
Nov 6, 0030,000g30,000g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Bloodspiller
Day (UTC)AverageUnits listed
Nov 630,000g 0s 0c1
Nov 530,000g 0s 0c1
Nov 430,000g 0s 0c1
Nov 319,836g 85s 0c1
Nov 219,836g 85s 0c1
Nov 119,836g 85s 0c1
Oct 295,278g 25s 94c2
Oct 285,354g 79s 43c3
Oct 275,437g 52s 63c2
Oct 265,480g 10s 47c2
Oct 255,480g 10s 85c2
Oct 245,652g 59s 9c2
Oct 235,901g 73s 38c2
Oct 225,901g 73s 83c2
Oct 2110,844g 79s 33c2
Oct 2011,579g 36s 47c3
Oct 197,450g 37s 3c3
Oct 185,936g 79s 79c3
Oct 175,951g 27s 17c3
Oct 165,961g 85s 81c1
Oct 1515,010g 24s 0c2
Oct 1421,513g 76s 31c1
Oct 1329,432g 98s 33c1
Oct 1229,858g 7s 0c1
Oct 1123,223g 5s 22c2
Oct 1014,161g 50s 97c3
Oct 924,170g 90s 52c3
Oct 855,088g 36s 36c1
Oct 79,319g 77s 78c1
Oct 62,984g 75s 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 Bloodspiller 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