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Columbus Blue Jackets
GP: 6 | W: 4 | L: 2 | OTL: 0 | P: 11
GF: 16 | GA: 16 | PP%: 16.67% | PK%: 64.29%
GM : Josh | Morale : 40 | Team Overall : 78

Game Center
St Louis Blues
3-1-2, 11pts
2
FINAL
1 Columbus Blue Jackets
4-2-0, 11pts
Team Stats
OTL1StreakW1
2-0-1Home Record2-1-0
1-1-1Away Record2-1-0
3-1-2Last 10 Games4-2-0
2.67Goals Per Game2.67
2.00Goals Against Per Game2.67
26.09%Power Play Percentage16.67%
78.95%Penalty Kill Percentage64.29%
Los Angeles Kings
3-3-0, 8pts
1
FINAL
3 Columbus Blue Jackets
4-2-0, 11pts
Team Stats
L1StreakW1
2-1-0Home Record2-1-0
1-2-0Away Record2-1-0
3-3-0Last 10 Games4-2-0
2.67Goals Per Game2.67
2.33Goals Against Per Game2.67
13.33%Power Play Percentage16.67%
75.00%Penalty Kill Percentage64.29%
Team Leaders
Goals
Sean Monahan
6
Assists
Anthony Beauvillier
5
Points
Sean Monahan
8
Plus/Minus
Sean Monahan
4
Wins
Mackenzie Blackwood
4
Save Percentage
Mackenzie Blackwood
0.912

Team Stats
Goals For
16
2.67 GFG
Shots For
206
34.33 Avg
Power Play Percentage
16.7%
4 GF
Offensive Zone Start
39.4%
Goals Against
16
2.67 GAA
Shots Against
187
31.17 Avg
Penalty Kill Percentage
64.3%%
5 GA
Defensive Zone Start
39.6%
Team Info

General ManagerJosh
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameNationwide Arena
Capacity18,000
Attendance0
Season Tickets7,200


Roster Info

Pro Team20
Farm Team32
Contract Limit52 / 250
Prospects63


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account96,646,449$
Projected Bank Account96,646,449$


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5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Sean Monahan0X100.0067509093799799869990918187797455408303025,550,000$
2Vincent Trocheck0X100.0089438995589495829785867584807455408003124,000,000$
3Carter Verhaeghe0X100.0069457890708990836987907284786755407902944,500,000$
4Valeri Nichushkin0X100.0075478676859293886080907484798455407903034,200,000$
5Anthony Beauvillier0X100.0086458193609089807479907083777355407802815,166,667$
6Chris Tierney0X100.0059428687738989789588886978787655407803127,000,000$
7Dominik Kubalik0X100.0081398392688985766680907284787755407802944,500,000$
8Nino Niederreiter0X100.0090487879828886806781817378807655407703213,600,000$
9Bryan Rust0X100.0079467679628584836279867183817155407503334,000,000$
10Jonathan Drouin0X100.0059508784708385787280837076796855407503031,670,000$
11Conor Garland0X100.0064368593558276717370877277787255407302941,670,000$
12Curtis Lazar0X100.0091517674748380748278726873798455407303033,000,000$
13Matt Dumba0X100.0093478290759999805290748275797655408103033,250,000$
14Zach Werenski0X100.0058519290909699805089728072748355407902723,000,000$
15Hampus Lindholm0X100.00605092838994957850826980698084554078N03123,500,000$
16J.J. Moser0X100.0063458994788593805090708074767855407802543,000,000$
17Riley Stillman0X100.0089528783878787745087668067748055407802721,450,000$
18John Carlson0X100.0059478868879090685071627560828055407203513,067,000$
Scratches
Farm Team
1Chris Wagner0X100.009445647566817674697577627782755540710341500,000$
2Mark Arcobello0X100.0084368286498181748478706075857855407103621,500,000$
3Will Cuylle (R)0X100.009952797280838368597572696968685540710233800,000$
4Lars Eller0X100.0078476967778079717871736470857455407003621,500,000$
5Sammy Blais0X100.009761757179838068597169676878745540700294650,000$
6Eric Robinson0X100.008150797077787961666466706579735540680303600,000$
7Mackenzie MacEachern0X100.008546687275777664636766716679705540680312665,000$
8Sean Kuraly0X100.008551666477798666817166666580735540680321625,000$
9Vasily Podkolzin (R)0X100.0095477276738174615670646766707055406802431,500,000$
10Brett Leason0X100.0072497963927879636664647162758255406702621,000,000$
11Sam Colangelo (R)0X100.006345837277756863576277636968785540670233900,000$
12Chris Kreider0X100.008653715484777761716565666082825540660341600,000$
13Xavier Ouellet0X100.007746737385818370507364756280705540730313750,000$
14Olen Zellweger (R)0X100.0055358394588181675076687269637355407102131,000,000$
15Dan Renouf0X100.008175766987737265506362686078695540690312600,000$
16Calle Rosen0X100.005140797975717564506759696180725540680311600,000$
17Jaycob Megna0X100.005854696299747464506762695780815540680321600,000$
18Jon Merrill0X100.005648726784787968507062706081725540680331600,000$
19Frank Nazar (R)0X80.7754358091538181607873685971637355406802131,750,000$
20Brock McGinn0X100.007940797352757564676767706780785540670312665,000$
21Jakob Pelletier (R)0X89.5457358087507575636469656870708055406702431,000,000$
22Matthew Peca0X100.005940797850767664796966646880635540660321600,000$
23Cole Bardreau0X100.007540707561686762656463706577585540650312665,000$
24Filip Zadina0X100.0058427973758081645565665767736555406502521,750,000$
25Adam Beckman (R)0X100.005940577565667455506259716170585540630243900,000$
26Mikko Lehtonen0X100.006544837276697161506559665877735540660312600,000$
27Nick Seeler0X100.005552657165717562506461705879695540660321625,000$
28Tim Heed0X100.005240778149727262506161756180665540660342750,000$
TEAM AVERAGE99.35734679787282827064747170707774554072
Filter Tips
PriorityTypeDescription
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Mackenzie Blackwood0100.0071889088919293939392927768554085N02812,760,000$
2Semyon Varlamov0100.007077828279838381818381877355407803722,750,000$
Scratches
Farm Team
1Collin Delia0100.007771718279798080797980776555407603121,071,427$
2Matt O'Connor0100.00746565907679807878797881665540750331600,000$
3Roman Will0100.00775757807777787777777380655540730332750,000$
4Jeremy Smith0100.00786364787574757576747264655540710361500,000$
TEAM AVERAGE100.0075707283808182818181797867554076
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Sean MonahanColumbus Blue JacketsC66284008142461025.00%212120.31112522000041256.77%15563101.3100000210
2Anthony BeauvillierColumbus Blue JacketsRW605536015916350%111719.55022122000000050.00%811000.8500000000
3Carter VerhaegheColumbus Blue JacketsLW6235460821831511.11%212220.35101322000041037.50%881000.8200000100
4Chris TierneyColumbus Blue JacketsC6134-3555720455.00%410918.17022018000010051.35%11162000.7300100000
5Valeri NichushkinColumbus Blue JacketsRW6224-1551261721211.76%512220.341121170000111033.33%612000.6600010001
6Matt DumbaColumbus Blue JacketsD6033220162013430%1317128.50011326000010000%037000.3500000000
7Vincent TrocheckColumbus Blue JacketsC612322071219475.26%48514.26000000000100055.22%6724000.7000000001
8Zach WerenskiColumbus Blue JacketsD61123008566516.67%1316627.6800012700008000%035000.2400000001
9Bryan RustColumbus Blue JacketsRW601115510311770%17212.0300001000000020.00%541000.2800001000
10Conor GarlandColumbus Blue JacketsLW610112048101610.00%47612.740000100001000%122100.2600000010
11Curtis LazarColumbus Blue JacketsC6011-200825210%2416.8600001000000050.00%1400000.4900000000
12Dominik KubalikColumbus Blue JacketsLW6101-3401192212204.55%211419.06101318000031033.33%942000.1700000000
13J.J. MoserColumbus Blue JacketsD60110202107320%811719.5400001400001000%043000.1700000000
14Jonathan DrouinColumbus Blue JacketsLW6011-200015130%0386.50000000000000100.00%110000.5100000000
15Nino NiederreiterColumbus Blue JacketsRW6101-2007390811.11%1437.190000000004000%210000.4600000010
16Riley StillmanColumbus Blue JacketsD6011020962200%211018.390000000008000%015000.1800000000
17Hampus LindholmColumbus Blue JacketsD6000-2004122220%69315.56000013000011000%02300000000000
18John CarlsonColumbus Blue JacketsD6000-200150110%46510.960000000000000%00400000000000
Team Total or Average10816264234115135134206631127.77%74178716.554711172090000824252.45%3874945200.4700111333
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Mackenzie BlackwoodColumbus Blue Jackets64200.9122.63320201416063000060110
2Semyon VarlamovColumbus Blue Jackets10000.9263.0839002278000006000
Team Total or Average74200.9142.6736020161877100066110


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Anthony Beauvillier (1 Way Contract)Columbus Blue JacketsRW281997-06-08CANNo181 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,166,667$5,166,667$0$0$No---------------------------Link
Bryan Rust (1 Way Contract)Columbus Blue JacketsRW331992-05-11USANo192 Lbs5 ft11NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm4,000,000$4,000,000$0$0$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Link
Carter Verhaeghe (1 Way Contract)Columbus Blue JacketsLW291995-08-14CANNo181 Lbs6 ft2NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm4,500,000$4,500,000$0$0$No4,500,000$4,500,000$4,500,000$------4,500,000$4,500,000$4,500,000$------NoNoNo------Link
Chris Tierney (1 Way Contract)Columbus Blue JacketsC311994-07-01CANNo191 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm7,000,000$7,000,000$0$0$No7,000,000$--------7,000,000$--------No--------Link
Conor GarlandColumbus Blue JacketsLW291996-03-11USANo181 Lbs5 ft8NoNoFree Agent2025-10-03NoNo42025-10-17FalseFalsePro & Farm1,670,000$1,670,000$0$0$No1,670,000$1,670,000$1,670,000$------1,670,000$1,670,000$1,670,000$------NoNoNo------Link
Curtis Lazar (1 Way Contract)Columbus Blue JacketsC301995-02-02CANNo203 Lbs6 ft0NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------Link
Dominik Kubalik (1 Way Contract)Columbus Blue JacketsLW291995-08-21CZENo190 Lbs6 ft2NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm4,500,000$4,500,000$0$0$No4,500,000$4,500,000$4,500,000$------4,500,000$4,500,000$4,500,000$------NoNoNo------Link
Hampus Lindholm (1 Way Contract)Columbus Blue JacketsD311994-01-20SWENo216 Lbs6 ft2YesNoAssign ManuallyNoNo22025-09-30FalseFalsePro Only3,500,000$3,500,000$0$0$No3,500,000$--------3,500,000$--------Yes--------Link
J.J. Moser (1 Way Contract)Columbus Blue JacketsD252000-06-06CHENo187 Lbs6 ft1NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------Link
John Carlson (1 Way Contract)Columbus Blue JacketsD351990-01-10USANo216 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,067,000$3,067,000$0$0$No---------------------------Link
Jonathan DrouinColumbus Blue JacketsLW301995-03-28CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,670,000$1,670,000$0$0$No1,670,000$1,670,000$-------1,670,000$1,670,000$-------NoNo-------Link
Mackenzie Blackwood (1 Way Contract)Columbus Blue JacketsG281996-12-09CANNo225 Lbs6 ft4YesNoAssign ManuallyNoNo12025-09-30FalseFalsePro Only2,760,000$2,760,000$0$0$No---------------------------Link
Matt Dumba (1 Way Contract)Columbus Blue JacketsD301994-07-25CANNo181 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm3,250,000$3,250,000$0$0$No3,250,000$3,250,000$-------3,250,000$3,250,000$-------NoNo-------Link
Nino Niederreiter (1 Way Contract)Columbus Blue JacketsRW321992-09-08SUINo218 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,600,000$3,600,000$0$0$No---------------------------Link
Riley StillmanColumbus Blue JacketsD271998-03-09CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,450,000$1,450,000$0$0$No1,450,000$--------1,450,000$--------No--------Link
Sean Monahan (1 Way Contract)Columbus Blue JacketsC301994-10-12CANNo201 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm5,550,000$5,550,000$0$0$No5,550,000$--------5,550,000$--------No--------Link
Semyon Varlamov (1 Way Contract)Columbus Blue JacketsG371988-04-27RUSNo209 Lbs6 ft2NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm2,750,000$2,750,000$0$0$No2,750,000$--------2,750,000$--------No--------Link
Valeri Nichushkin (1 Way Contract)Columbus Blue JacketsRW301995-03-04RUSNo209 Lbs6 ft4NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,200,000$4,200,000$0$0$No4,200,000$4,200,000$-------4,200,000$4,200,000$-------NoNo-------Link
Vincent Trocheck (1 Way Contract)Columbus Blue JacketsC311993-07-11USANo183 Lbs5 ft11NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm4,000,000$4,000,000$0$0$No4,000,000$--------4,000,000$--------No--------Link
Zach Werenski (1 Way Contract)Columbus Blue JacketsD271997-07-19USANo214 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$--------3,000,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2030.10199 Lbs6 ft12.453,581,683$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
71,633,667$57,040,000$29,790,000$13,670,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carter VerhaegheSean MonahanAnthony Beauvillier35023
2Dominik KubalikChris TierneyValeri Nichushkin35023
3Conor GarlandVincent TrocheckBryan Rust25023
4Jonathan DrouinCurtis LazarNino Niederreiter5023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaZach Werenski45032
2Riley StillmanJ.J. Moser35032
3Hampus LindholmJohn Carlson20032
4Matt DumbaZach Werenski0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carter VerhaegheSean MonahanAnthony Beauvillier60005
2Dominik KubalikChris TierneyValeri Nichushkin40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaZach Werenski60122
2Hampus LindholmJ.J. Moser40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Vincent TrocheckValeri Nichushkin60050
2Sean MonahanNino Niederreiter40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Hampus LindholmMatt Dumba60050
2Riley StillmanZach Werenski40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Vincent Trocheck60050Matt DumbaHampus Lindholm60050
2Sean Monahan40050Zach WerenskiRiley Stillman40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sean MonahanDominik Kubalik60023
2Chris TierneyAnthony Beauvillier40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaZach Werenski60032
2Hampus LindholmJ.J. Moser40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Carter VerhaegheSean MonahanValeri NichushkinMatt DumbaZach Werenski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Carter VerhaegheSean MonahanValeri NichushkinMatt DumbaZach Werenski
Extra Forwards
Normal PowerPlayPenalty Kill
Dominik Kubalik, Anthony Beauvillier, Carter VerhaegheDominik Kubalik, Carter VerhaegheDominik Kubalik
Extra Defensemen
Normal PowerPlayPenalty Kill
Matt Dumba, Zach Werenski, J.J. MoserMatt DumbaRiley Stillman, Hampus Lindholm
Penalty Shots
Sean Monahan, Vincent Trocheck, Carter Verhaeghe, Valeri Nichushkin, Dominik Kubalik
Goalie
#1 : Mackenzie Blackwood, #2 : Semyon Varlamov
Custom OT Lines Forwards
Sean Monahan, Vincent Trocheck, Valeri Nichushkin, Carter Verhaeghe, Chris Tierney, Anthony Beauvillier, Dominik Kubalik, Nino Niederreiter, Jonathan Drouin, Bryan Rust
Custom OT Lines Defensemen
Matt Dumba, Zach Werenski, Hampus Lindholm, J.J. Moser, Riley Stillman


Filter Tips
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Los Angeles Kings22000000734110000003121100000042261.00071219000250642022220521783712325.00%4175.00%08615256.58%8115352.94%368144.44%442642183317
2St Louis Blues2020000028-61010000012-11010000016-500.000246001100743614240673131457114.29%8362.50%08615256.58%8115352.94%368144.44%462940163216
3Winnipeg Jets21001000752100010004311100000032150.833710170013216813222946826453500.00%2150.00%08615256.58%8115352.94%368144.44%493138163318
Total63201000161603110100086232100000810-2110.6111626420026712066958754187744313524416.67%14564.29%08615256.58%8115352.94%368144.44%14187122509951
_Since Last GM Reset63201000161603110100086232100000810-2110.6111626420026712066958754187744313524416.67%14564.29%08615256.58%8115352.94%368144.44%14187122509951
_Vs Conference63201000161603110100086232100000810-2110.6111626420026712066958754187744313524416.67%14564.29%08615256.58%8115352.94%368144.44%14187122509951
_Vs Division41201000913-4201010005502110000048-450.4179142300242114249365341355735981218.33%10460.00%08615256.58%8115352.94%368144.44%966079326534

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
611W1162642206187744313500
All Games
GPWLOTWOTL SOWSOLGFGA
63210001616
Home Games
GPWLOTWOTL SOWSOLGFGA
311100086
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3210000810
Last 10 Games
WLOTWOTL SOWSOL
420000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
24416.67%14564.29%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
69587542671
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8615256.58%8115352.94%368144.44%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
14187122509951


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
Trade Deadline --- Trades can’t be done after this day is simulated!
27Columbus Blue Jackets4Los Angeles Kings2WBoxScore
421Columbus Blue Jackets1St Louis Blues6LBoxScore
635Winnipeg Jets3Columbus Blue Jackets4WXBoxScore
849Columbus Blue Jackets3Winnipeg Jets2WBoxScore
1063St Louis Blues2Columbus Blue Jackets1LBoxScore
1277Los Angeles Kings1Columbus Blue Jackets3WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price100603525200
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00% 0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
0$ 72,133,667$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 96,646,449$ 96,646,449$



Depth Chart

Left WingCenterRight Wing
Carter VerhaegheAGE:29PO:55OV:79
Dominik KubalikAGE:29PO:55OV:78
Jonathan DrouinAGE:30PO:55OV:75
Conor GarlandAGE:29PO:55OV:73
Chris WagnerAGE:34PO:55OV:71
Will Cuylle (R)AGE:23PO:55OV:71
Eric RobinsonAGE:30PO:55OV:68
Mackenzie MacEachernAGE:31PO:55OV:68
Brock McGinnAGE:31PO:55OV:67
Jakob Pelletier (R)AGE:24PO:55OV:67
Cole BardreauAGE:31PO:55OV:65
Adam Beckman (R)AGE:24PO:55OV:63
Sean MonahanAGE:30PO:55OV:83
Vincent TrocheckAGE:31PO:55OV:80
Chris TierneyAGE:31PO:55OV:78
Curtis LazarAGE:30PO:55OV:73
Mark ArcobelloAGE:36PO:55OV:71
Lars EllerAGE:36PO:55OV:70
Frank Nazar (R)AGE:21PO:55OV:68
Sean KuralyAGE:32PO:55OV:68
Chris KreiderAGE:34PO:55OV:66
Matthew PecaAGE:32PO:55OV:66
Valeri NichushkinAGE:30PO:55OV:79
Anthony BeauvillierAGE:28PO:55OV:78
Nino NiederreiterAGE:32PO:55OV:77
Bryan RustAGE:33PO:55OV:75
Sammy BlaisAGE:29PO:55OV:70
Vasily Podkolzin (R)AGE:24PO:55OV:68
Brett LeasonAGE:26PO:55OV:67
Sam Colangelo (R)AGE:23PO:55OV:67
Filip ZadinaAGE:25PO:55OV:65

Defense #1Defense #2Goalie
Matt DumbaAGE:30PO:55OV:81
Zach WerenskiAGE:27PO:55OV:79
Hampus LindholmAGE:31PO:55OV:78
J.J. MoserAGE:25PO:55OV:78
Riley StillmanAGE:27PO:55OV:78
Xavier OuelletAGE:31PO:55OV:73
John CarlsonAGE:35PO:55OV:72
Olen Zellweger (R)AGE:21PO:55OV:71
Dan RenoufAGE:31PO:55OV:69
Calle RosenAGE:31PO:55OV:68
Jaycob MegnaAGE:32PO:55OV:68
Jon MerrillAGE:33PO:55OV:68
Mikko LehtonenAGE:31PO:55OV:66
Nick SeelerAGE:32PO:55OV:66
Tim HeedAGE:34PO:55OV:66
Mackenzie BlackwoodAGE:28PO:55OV:85
Semyon VarlamovAGE:37PO:55OV:78
Collin DeliaAGE:31PO:55OV:76
Matt O'ConnorAGE:33PO:55OV:75
Roman WillAGE:33PO:55OV:73
Jeremy SmithAGE:36PO:55OV:71

Prospects

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
0x LTCsColumbus Blue Jackets00
1 000 000 NSHL25 Waiver BucksColumbus Blue Jackets00
1x RFA TagColumbus Blue Jackets00
20x TC PTSColumbus Blue Jackets00
Aidan DudasColumbus Blue Jackets181090Link
Alex CottonColumbus Blue Jackets201300Link
Alexander CampbellColumbus Blue Jackets19760Link
Alexander KhovanovColumbus Blue Jackets181080Link
Alexander PashinColumbus Blue Jackets201200Link
Alexei LipanovColumbus Blue Jackets171040Link
Blake McLaughlinColumbus Blue Jackets181120Link
Brodie ZiemerColumbus Blue Jackets24700Link
Bryce BrodzinskiColumbus Blue Jackets191300Link
Bulat ShafigullinColumbus Blue Jackets181150Link
Cameron AllenColumbus Blue Jackets231500Link
Cayden LindstromColumbus Blue Jackets2430Link
Colby AmbrosioColumbus Blue Jackets201360Link
Connor McClennonColumbus Blue Jackets20970Link
David JiricekColumbus Blue Jackets2260Link
Denver BarkeyColumbus Blue Jackets23910Link
Emil HeinemanColumbus Blue Jackets20940Link
Ethan KeppenColumbus Blue Jackets191200Link
Evan BarrattColumbus Blue Jackets171110Link
Filip EkbergColumbus Blue Jackets25900Link
Francesco PinelliColumbus Blue Jackets21290Link
Gracyn SawchynColumbus Blue Jackets23780Link
Guillaume RichardColumbus Blue Jackets211470Link
Harry NansiColumbus Blue Jackets251270Link
Ian MooreColumbus Blue Jackets20830Link
Ilya NikolaevColumbus Blue Jackets19550Link
Jack ThompsonColumbus Blue Jackets201330Link
Jackson HallumColumbus Blue Jackets201170Link
Jacob PerreaultColumbus Blue Jackets20250Link
Joni IkonenColumbus Blue Jackets17820Link
Jonny TychonickColumbus Blue Jackets18670Link
Matej PekarColumbus Blue Jackets181160Link
Matteo CostantiniColumbus Blue Jackets201020Link
Michael BenningColumbus Blue Jackets20400Link
Michael Brandsegg-NygardColumbus Blue Jackets24160Link
Michael TeplyColumbus Blue Jackets19850Link
Niklas NordgrenColumbus Blue Jackets18780Link
Nikola PasicColumbus Blue Jackets191160Link
Ondrej BecherColumbus Blue Jackets24740Link
Oscar Fisker-MolgaardColumbus Blue Jackets23640Link
Patrik PuistolaColumbus Blue Jackets19450Link
Pavel NovakColumbus Blue Jackets20840Link
Rhett PitlickColumbus Blue Jackets19880Link
Robert MastrosimoneColumbus Blue Jackets19670Link
Ruslan IskhakovColumbus Blue Jackets18580Link
Sean TschigerlColumbus Blue Jackets21970Link
Slava DeminColumbus Blue Jackets181140Link
Tanner HoweColumbus Blue Jackets24560Link
Timur MukhanovColumbus Blue Jackets231450Link
Tommy LafreniereColumbus Blue Jackets251120Link
Tristan BrozColumbus Blue Jackets21530Link
Tuukka TieksolaColumbus Blue Jackets19780Link
Tyler TullioColumbus Blue Jackets201270Link
Vadim ZherenkoColumbus Blue Jackets231400Link
Valentin NussbaumerColumbus Blue Jackets191240Link
Viggo NordlundColumbus Blue Jackets251290Link
William VilleneuveColumbus Blue Jackets20720Link
Yegor SerdyukColumbus Blue Jackets191190Link
Yegor SpiridonovColumbus Blue Jackets19970Link

Draft Picks

Year R1R2R3R4R5R6R7
26
27
28
29
30
Conditional Draft Picks




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Columbus Blue Jackets Trade History

[2025-12-15 12:55:06 PM] 1 000 000 NSHL25 Waiver Bucks has been added to Columbus Blue Jackets.
[2025-12-15 12:49:19 PM] TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : $500,000 (Money).
[2025-12-15 12:49:19 PM] TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : 1x NSHL25 ODW Claim (P).



Frank Nazar is out for 2 weeks because of a Strained Back Injury.
Jakob Pelletier is out for 6 days because of a Torn Left Knee Ligaments Injury.



Columbus Blue Jackets Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Columbus Blue Jackets Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Columbus Blue Jackets Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Columbus Blue Jackets Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Columbus Blue Jackets Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA