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Boneclutched Greatstaff

UncommonStaff
Open in the auction house

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Price

Last scan Oct 30, 2026, 00:00 UTC

Last seen price on Emerald Dream (US)

2,000g 0s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
2,000g 0s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 164 scans
How prices are measured
  • Boneclutched Greatstaff
  • Item Level: 100
  • Binds when equipped
  • Two-HandStaff
  • Required Level: 50
  • Sell price: 85g 67s 83c
Sources: none recorded

Sources

No source is recorded for Boneclutched Greatstaff.Crafted, vendor, drop and quest sources appear here when the catalogue lists one.

Most sources come from published game data.

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Market

Emerald Dream (US)

Price History

Emerald Dream (US)
Low
20g 31s 0c
Average
69,208g 28s 56c
High
943,412g 84s 76c
Samples
164
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 Boneclutched Greatstaff, 1 week, Emerald Dream (US)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 0020g2,011g2
Mar 2, 0020g721g1
Mar 3, 0020g3,858g1
Mar 7, 006,459g6,459g1
Mar 8, 006,459g6,459g1
Mar 9, 00999g2,898g3
Mar 10, 00999g999g2
Mar 11, 008,640g8,640g1
Mar 13, 00100g100g1
Mar 15, 009,519g9,519g2
Mar 17, 009,519g9,519g1
Mar 29, 0016,209g16,209g1
Apr 4, 0010,678g10,678g1
Apr 8, 0010,678g10,678g2
Apr 9, 00251g8,838g1
Apr 10, 00251g5,291g2
Apr 11, 00251g14,850g2
Apr 12, 0035,583g35,583g1
Apr 13, 00251g4,895g1
Apr 14, 00251g479g1
Apr 15, 00199g288g1
Apr 16, 00199g199g1
Apr 17, 00199g199g1
Apr 18, 0039,094g39,094g1
Apr 20, 0045,535g45,535g2
Apr 21, 0045,535g45,535g1
Apr 22, 0045,535g45,535g1
Apr 23, 00200g200g1
Apr 24, 00200g200g1
Apr 25, 00200g35,715g2
Apr 26, 0053,421g53,421g1
Apr 27, 0053,421g53,421g1
Apr 29, 0062,256g62,256g1
Apr 30, 0062,256g62,256g1
May 2, 008,290g8,290g1
May 3, 008,290g8,290g1
May 4, 008,290g8,290g1
May 15, 008,585g8,585g1
May 16, 008,585g8,585g1
May 21, 0010,115g10,115g1
May 22, 0010,115g10,115g1
May 23, 0010,115g10,115g1
May 25, 008,181g8,181g1
May 26, 008,181g8,181g1
May 27, 008,181g8,181g1
May 30, 005,000g5,000g1
May 31, 005,000g5,000g1
Jun 1, 005,000g5,000g2
Jun 2, 005,000g5,000g1
Jun 3, 005,000g5,000g2
Jun 4, 005,000g5,000g1
Jun 6, 008,805g8,805g1
Jun 7, 008,805g8,805g1
Jun 8, 008,805g8,805g1
Jun 19, 0016,001g16,001g1
Jun 20, 0016,001g16,001g1
Jun 21, 0016,001g16,001g1
Jun 24, 0022,282g22,282g1
Jun 25, 008,698g12,094g1
Jun 26, 008,698g8,698g1
Jun 27, 008,698g8,698g1
Jun 28, 0044,563g44,563g1
Jun 29, 0049,711g53,278g1
Jun 30, 0049,711g72,540g1
Jul 1, 00117,840g117,840g1
Jul 2, 00117,840g117,840g1
Jul 3, 00145,015g145,015g1
Jul 5, 0010,842g10,842g1
Jul 6, 0010,842g10,842g1
Jul 7, 0010,842g131,336g2
Jul 8, 00199,533g199,533g1
Jul 9, 00199,533g199,533g1
Jul 10, 00323,775g323,775g1
Jul 11, 00323,775g323,775g1
Jul 12, 00362,960g362,960g1
Jul 13, 00362,960g390,368g1
Jul 14, 0049,711g297,536g4
Jul 15, 0049,711g354,010g3
Jul 16, 0049,711g58,710g2
Jul 17, 0049,711g247,418g3
Jul 18, 0049,711g455,331g2
Jul 19, 0049,711g204,125g1
Jul 20, 0049,711g942,151g1
Jul 21, 00500g437,274g3
Jul 22, 0049,711g123,055g1
Jul 23, 002,501g10,832g1
Jul 24, 0049,711g365,739g1
Jul 25, 0025,001g452,341g3
Jul 26, 0025,001g41,062g2
Jul 27, 002,501g588,110g3
Jul 28, 002,251g143,537g2
Jul 29, 002,251g6,289g2
Jul 30, 002,251g25,981g2
Jul 31, 002,251g943,413g3
Aug 1, 002,501g145,508g2
Aug 2, 002,501g747,347g4
Aug 3, 002,501g269,176g2
Aug 4, 00351g11,456g2
Aug 5, 00351g14,621g3
Aug 6, 00351g14,759g3
Aug 7, 00351g6,575g3
Aug 8, 00200g9,303g4
Aug 9, 00176g2,720g5
Aug 10, 00176g12,382g4
Aug 11, 00200g27,706g2
Aug 12, 0049,711g49,711g1
Aug 13, 0049,711g49,711g1
Aug 14, 0049,711g49,711g1
Aug 15, 002,501g24,717g2
Aug 16, 0025,001g36,981g2
Aug 17, 0025,001g47,810g1
Aug 18, 002,501g21,048g2
Aug 19, 00501g24,403g2
Aug 20, 00501g39,869g1
Aug 21, 0049,711g49,711g1
Aug 22, 00251g251g1
Aug 23, 00251g251g1
Aug 24, 00251g251g1
Aug 25, 002,501g2,501g1
Aug 26, 002,501g2,501g1
Aug 27, 002,001g14,348g3
Aug 28, 001,501g15,473g3
Aug 29, 00351g26,676g1
Aug 30, 00351g13,228g1
Aug 31, 002,001g25,142g2
Sep 1, 002,001g9,560g1
Sep 2, 001,501g23,299g2
Sep 3, 001,501g10,266g1
Sep 4, 002,501g26,106g2
Sep 5, 002,501g38,470g1
Sep 6, 002,501g23,960g2
Sep 7, 002,501g27,417g2
Sep 8, 002,501g23,960g2
Sep 9, 002,501g20,205g2
Sep 10, 002,501g23,483g2
Sep 11, 002,501g26,106g2
Sep 12, 002,501g2,501g1
Sep 13, 002,251g2,483g1
Sep 14, 002,251g2,376g2
Sep 15, 002,501g14,303g1
Sep 16, 002,501g46,760g2
Sep 17, 002,501g34,604g3
Sep 18, 002,501g24,982g2
Sep 19, 002,251g2,376g2
Sep 20, 002,251g21,351g2
Sep 21, 002,251g14,116g1
Sep 22, 0049,711g49,711g1
Sep 23, 002,501g11,943g1
Sep 24, 002,501g15,376g1
Sep 25, 002,251g14,194g2
Oct 1, 001,112g1,112g1
Oct 2, 001,112g1,112g1
Oct 10, 0026g26g1
Oct 11, 0026g26g1
Oct 12, 0026g26g1
Oct 20, 005,000g5,000g1
Oct 21, 005,000g5,000g1
Oct 22, 005,000g5,000g1
Oct 25, 001,500g1,500g1
Oct 26, 001,500g1,500g1
Oct 27, 001,500g1,500g1
Oct 28, 002,000g2,000g1
Oct 29, 002,000g2,000g1
Oct 30, 002,000g2,000g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Boneclutched Greatstaff
Day (UTC)AverageUnits listed
Oct 302,000g 0s 0c1
Oct 292,000g 0s 0c1
Oct 282,000g 0s 0c1
Oct 271,500g 0s 0c1
Oct 261,500g 0s 0c1
Oct 251,500g 0s 0c1
Oct 225,000g 0s 0c1
Oct 215,000g 0s 0c1
Oct 205,000g 0s 0c1
Oct 1225g 51s 0c1
Oct 1125g 51s 0c1
Oct 1025g 51s 0c1
Oct 21,111g 52s 0c1
Oct 11,111g 52s 0c1
Sep 2514,193g 91s 50c2
Sep 2415,376g 24s 45c1
Sep 2311,942g 79s 0c1
Sep 2249,710g 79s 0c1
Sep 2114,115g 79s 0c1
Sep 2021,351g 45s 67c2
Sep 192,375g 79s 0c2
Sep 1824,981g 74s 24c2
Sep 1734,603g 59s 0c3
Sep 1646,760g 16s 50c2
Sep 1514,303g 21s 50c1
Sep 142,375g 69s 0c2
Sep 132,482g 83s 29c1
Sep 122,500g 69s 0c1
Sep 1126,105g 79s 0c2
Sep 1023,483g 1s 22c2

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 Boneclutched Greatstaff 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