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Columbus Blue Jackets
GP: 33 | W: 21 | L: 8 | OTL: 4 | P: 63
GF: 90 | GA: 70 | PP%: 18.66% | PK%: 89.77%
GM : Josh | Morale : 40 | Team Overall : 78
Next Games #472 vs San Jose Sharks

Game Center
Montreal Canadiens
13-18-2, 38pts
1
3 Columbus Blue Jackets
21-8-4, 63pts
Team Stats
L3StreakW2
7-9-1Home Record12-4-1
6-9-1Away Record9-4-3
2-7-1Last 10 Games5-4-1
2.70Goals Per Game2.73
3.06Goals Against Per Game2.12
17.89%Power Play Percentage18.66%
74.79%Penalty Kill Percentage89.77%
Columbus Blue Jackets
21-8-4, 63pts
3
1 Philadelphia Flyers
16-14-3, 49pts
Team Stats
W2StreakL1
12-4-1Home Record9-7-1
9-4-3Away Record7-7-2
5-4-1Last 10 Games5-4-1
2.73Goals Per Game2.85
2.12Goals Against Per Game2.73
18.66%Power Play Percentage20.83%
89.77%Penalty Kill Percentage81.36%
Columbus Blue Jackets
21-8-4, 63pts
Day 84
San Jose Sharks
10-20-3, 31pts
Team Stats
W2StreakL4
12-4-1Home Record6-7-2
9-4-3Away Record4-13-1
5-4-1Last 10 Games4-6-0
2.73Goals Per Game1.97
2.12Goals Against Per Game1.97
18.66%Power Play Percentage22.00%
89.77%Penalty Kill Percentage78.41%
Columbus Blue Jackets
21-8-4, 63pts
Day 86
California Golden Seals
15-14-4, 45pts
Team Stats
W2StreakW6
12-4-1Home Record6-7-3
9-4-3Away Record9-7-1
5-4-1Last 10 Games7-1-2
2.73Goals Per Game2.48
2.12Goals Against Per Game2.48
18.66%Power Play Percentage25.00%
89.77%Penalty Kill Percentage80.17%
Los Angeles Kings
19-12-2, 55pts
Day 89
Columbus Blue Jackets
21-8-4, 63pts
Team Stats
W1StreakW2
9-5-2Home Record12-4-1
10-7-0Away Record9-4-3
4-5-1Last 10 Games5-4-1
2.67Goals Per Game2.73
2.52Goals Against Per Game2.73
15.44%Power Play Percentage18.66%
86.17%Penalty Kill Percentage89.77%
Team Leaders
Goals
Sean Monahan
15
Assists
Sean Monahan
18
Points
Sean Monahan
33
Plus/Minus
Sean Monahan
6
Wins
Mackenzie Blackwood
19
Save Percentage
Mackenzie Blackwood
0.932

Team Stats
Goals For
90
2.73 GFG
Shots For
1039
31.48 Avg
Power Play Percentage
18.7%
25 GF
Offensive Zone Start
39.4%
Goals Against
70
2.12 GAA
Shots Against
941
28.52 Avg
Penalty Kill Percentage
89.8%%
9 GA
Defensive Zone Start
38.6%
Team Info

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


Arena Info

NameNationwide Arena
Capacity18,000
Attendance16,588
Season Tickets8,100


Roster Info

Pro Team20
Farm Team30
Contract Limit50 / 250
Prospects64


Finance

Year to Date Revenue20,055,981$
Year To Date Expenses31,712,357$
Estimated Season Revenue27,134,563$
Estimated Season Expenses41,908,476$
Current Bank Account87,703,307$
Projected Bank Account72,892,458$


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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 Trocheck0X99.0089438995589495829785867584807455408003124,000,000$
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 Lazar0X95.9991517674748380748278726873798455407303033,000,000$
13Matt Dumba0X99.0093478290759999805290748275797655408103033,250,000$
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$
2Will Cuylle (R)0X99.009952797280838368597572696968685540710233800,000$
3Mark Arcobello0X99.0084368286498181748478706085765540407003621,500,000$
4Lars Eller0X100.0078476967778079717871736470857455407003621,500,000$
5Eric Robinson0X100.008150797077787961666466706579735540680303600,000$
6Frank Nazar (R)0X99.0054358091538181607873685971637355406802131,750,000$
7Mackenzie MacEachern0X100.008546687275777664636766716679705540680312665,000$
8Sean Kuraly0X100.008551666477798666817166666580735540680321625,000$
9Brett Leason0X100.0072497963927879636664647162758255406702621,000,000$
10Brock McGinn0X100.007940797352757564676767706780785540670312665,000$
11Jakob Pelletier (R)0X100.0057358087507575636469656870708055406702431,000,000$
12Sam Colangelo (R)0X99.006345837277756863576277636968785540670233900,000$
13Xavier Ouellet0X97.007746737385818370507364756280705540730313750,000$
14Olen Zellweger (R)0X97.0055358394588181675076687269637355407102131,000,000$
15Dan Renouf0X100.008175766987737265506362686078695540690312600,000$
16Calle Rosen0X100.005140797975717564506759696180725540680311600,000$
17Jaycob Megna0X100.005854696299747464506762695780815540680321600,000$
18Jon Merrill0X100.005648726784787968507062706081725540680331600,000$
19Vasily Podkolzin (R)0X93.3395477276738174615670646766707055406802431,500,000$
20Chris Kreider0X100.008653715484777761716565666082825540660341600,000$
21Matthew Peca0X100.005940797850767664796966646880635540660321600,000$
22Filip Zadina0X100.0058427973758081645565665767736555406502521,750,000$
23Adam Beckman (R)0X100.005940577565667455506259716170585540630243900,000$
24Mikko Lehtonen0X100.006544837276697161506559665877735540660312600,000$
25Nick Seeler0X100.005552657165717562506461705879695540660321625,000$
26Tim Heed0X100.005240778149727262506161756180665540660342750,000$
TEAM AVERAGE99.48724679797382827064747270707774554072
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
# Goalie Name #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Mackenzie Blackwood096.0071889088919293939392927768554085N02812,760,000$
2Semyon Varlamov097.007077828279838381818381877355407803722,750,000$
Scratches
Farm Team
1Collin Delia098.007771718279798080797980776555407603121,071,427$
2Matt O'Connor095.00746565907679807878797881665540750331600,000$
3Roman Will0100.00775757807777787777777380655540730332750,000$
4Jeremy Smith0100.00786364787574757576747264655540710361500,000$
TEAM AVERAGE97.6775707283808182818181797867554076
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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 JacketsC331518336404066114327213.16%1565719.9161016211240002394055.76%651189101.0014000221
2Carter VerhaegheColumbus Blue JacketsLW3311142531805537107323510.28%1262719.026814221240000161131.82%443112100.8004000211
3Vincent TrocheckColumbus Blue JacketsC3311142521005576103287210.68%1358117.63000010002843057.22%5823113000.8624000240
4Chris TierneyColumbus Blue JacketsC3391423113528429620559.38%1258117.611567980000102051.98%4791711000.7900001111
5Dominik KubalikColumbus Blue JacketsLW331011211200803294216610.64%1560718.4141511980001304147.17%53188000.6901000115
6Anthony BeauvillierColumbus Blue JacketsRW33108180140764380144312.50%1860618.3754922124000000052.17%46167000.5900000111
7Matt DumbaColumbus Blue JacketsD3331316-119598594316266.98%4787626.561565135000383010%01828000.3700001014
8Valeri NichushkinColumbus Blue JacketsRW335914113562478625535.81%1063519.261343980001622132.14%281112000.4414010022
9Conor GarlandColumbus Blue JacketsLW334812012021355813276.90%746113.9700001000041050.00%28125000.5200000021
10Riley StillmanColumbus Blue JacketsD3301212421566512314150%4167120.36011023000160000%0326000.3600100111
11Zach WerenskiColumbus Blue JacketsD332911-2101015494211114.76%3084325.571567136000358000%02130000.2600011011
12Bryan RustColumbus Blue JacketsRW335494331545225412309.26%33269.9000002000000130.77%1358000.5500120000
13J.J. MoserColumbus Blue JacketsD3007722010543515150%4661920.64000379000012000%01818000.2300000000
14Nino NiederreiterColumbus Blue JacketsRW33325-28060324815416.25%638111.56000000007563033.33%18105000.2600000020
15John CarlsonColumbus Blue JacketsD330444409187720%1436611.110000400006000%0110000.2200000000
16Hampus LindholmColumbus Blue JacketsD33033226101644171060%1957017.29000270000093000%0714000.1100110000
17Jonathan DrouinColumbus Blue JacketsLW33123020813258174.00%21905.7700000000000033.33%943000.3200000000
18Adam BeckmanCleveland Monsters (CBJ)LW9000000100000%0161.860000100008000%00100000000000
19Curtis LazarColumbus Blue JacketsC22000010030146440%31446.5600001000000048.57%351000000000000
20Tim HeedCleveland Monsters (CBJ)D5000100221010%2397.880000000000000%00000000000000
Team Total or Average59489152241262395577773610392975918.57%315980516.5125426710311250002062920553.42%1986242220200.49417353101918
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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
# 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 Jackets2919730.9321.9217542156821345130.61513293625
2Semyon VarlamovColumbus Blue Jackets42110.9321.9624500811755100.2504429200
Team Total or Average3321840.9321.921999216493840023173332825


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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
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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 Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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$2,940,603$0$0$No---------------------------Link
Bryan Rust (1 Way Contract)Columbus Blue JacketsRW331992-05-11USANo192 Lbs5 ft11NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm4,000,000$2,276,596$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$2,561,170$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$3,984,043$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$950,479$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$1,707,447$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$2,561,170$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$1,992,021$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$1,707,447$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$1,745,580$0$0$No---------------------------Link
Jonathan DrouinColumbus Blue JacketsLW301995-03-28CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,670,000$950,479$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$1,570,851$0$0$No---------------------------Link
Matt Dumba (1 Way Contract)Columbus Blue JacketsD301994-07-25CANNo181 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm3,250,000$1,849,734$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$2,048,936$0$0$No---------------------------Link
Riley StillmanColumbus Blue JacketsD271998-03-09CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,450,000$825,266$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$3,158,777$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$1,565,160$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$2,390,426$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$2,276,596$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$1,707,447$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 Beauvillier34023
2Dominik KubalikChris TierneyValeri Nichushkin33023
3Conor GarlandVincent TrocheckNino Niederreiter33023
4Jonathan DrouinVincent TrocheckBryan Rust0023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaZach Werenski40023
2Riley StillmanJ.J. Moser40032
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 Werenski60005
2J.J. MoserRiley Stillman40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Vincent TrocheckNino Niederreiter60050
2Sean MonahanValeri Nichushkin40050
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 Werenski60023
2J.J. MoserRiley Stillman40032
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 : Semyon Varlamov, #2 : Mackenzie Blackwood
Custom OT Lines Forwards
Sean Monahan, Vincent Trocheck, Valeri Nichushkin, Carter Verhaeghe, Chris Tierney, Anthony Beauvillier, Dominik Kubalik, Jonathan Drouin, Bryan Rust, Nino Niederreiter
Custom OT Lines Defensemen
Matt Dumba, Zach Werenski, Hampus Lindholm, J.J. Moser, Riley Stillman


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
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
1Anaheim Mighty Ducks21000001550110000004311000000112-140.667581300212049820214661923541119.09%9277.78%041877853.73%40976253.67%23443553.79%442342203819
2Boston Bruins10001000211000000000001000100021120.6672240010013913101513092125120.00%10100.00%041877853.73%40976253.67%23443553.79%2414197169
3California Golden Seals22000000615110000002111100000040461.00061117013030652710280522122463133.33%60100.00%041877853.73%40976253.67%23443553.79%472940173215
4Chicago Blackhawks2010001067-11010000024-21000001043120.33361016101131722527204522012486116.67%6183.33%041877853.73%40976253.67%23443553.79%482841173518
5Colorado Avalanche11000000413000000000001100000041331.00045900202028139602610614600.00%30100.00%041877853.73%40976253.67%23443553.79%20112010189
6Detroit Red Wings2010100056-1100010004311010000013-220.3335101500121153241018164156368112.50%3166.67%041877853.73%40976253.67%23443553.79%432642173316
7Edmonton Oilers2110000034-11010000013-21100000021130.500347000210651430210531620574125.00%50100.00%041877853.73%40976253.67%23443553.79%422444183216
8Hamilton Mustangs1000010023-1000000000001000010023-110.333246000110375141623344254125.00%20100.00%041877853.73%40976253.67%23443553.79%2213229158
9Los Angeles Kings21100000440110000002111010000023-130.5004610001120672216290501520443133.33%10190.00%041877853.73%40976253.67%23443553.79%422443183416
10Montreal Canadiens11000000312110000003120000000000031.0003580002102531111032206264125.00%30100.00%041877853.73%40976253.67%23443553.79%2011219189
11New Jersey Devils11000000523000000000001100000052331.0005914001220326121403492246233.33%10100.00%041877853.73%40976253.67%23443553.79%1910229179
12New York Rangers1000000123-11000000123-10000000000010.3332460020023012135430116252150.00%30100.00%041877853.73%40976253.67%23443553.79%2212239199
13Ottawa Senators10001000541000000000001000100054120.667581300013123551212584214250.00%2150.00%041877853.73%40976253.67%23443553.79%2011198199
14Philadelphia Flyers11000000312000000000001100000031231.000347000030326818031136284125.00%30100.00%041877853.73%40976253.67%23443553.79%2112229168
15Pittsburgh Penguins11000000211110000002110000000000031.0002460001103141890387213300.00%10100.00%041877853.73%40976253.67%23443553.79%2012247147
16Quebec Nordiques11000000312110000003120000000000031.0003690001203213118031417242150.00%10100.00%041877853.73%40976253.67%23443553.79%2415189178
17San Jose Sharks21000001532110000004131000000112-140.6675914000141732720265452565417211.76%3166.67%041877853.73%40976253.67%23443553.79%533236173520
18Seattle Kraken22000000633110000002111100000042261.00061117003120672926120612827488225.00%11190.91%041877853.73%40976253.67%23443553.79%452643173115
19St Louis Blues2020000059-41010000035-21010000024-200.000591420122068281921064172552500.00%50100.00%041877853.73%40976253.67%23443553.79%452840163317
20Toronto Maple Leafs1010000024-21010000024-20000000000000.000235000020269314026132173133.33%10100.00%041877853.73%40976253.67%23443553.79%2213198189
21Vancouver Canucks21100000440110000002111010000023-130.50047110021106521291504613136017317.65%4175.00%041877853.73%40976253.67%23443553.79%482736183418
22Vegas Golden Knights11000000514110000005140000000000031.000571200302026123110288419300.00%20100.00%041877853.73%40976253.67%23443553.79%2214208178
23Winnipeg Jets11000000312110000003120000000000031.00036900210034131011024106306116.67%30100.00%041877853.73%40976253.67%23443553.79%2414188169
Total3317803113907020171140100146351116640211244359630.636901522423125214071039339334361229413152417771342518.66%88989.77%041877853.73%40976253.67%23443553.79%747440684293569291
_Since Last GM Reset3317803113907020171140100146351116640211244359630.636901522423125214071039339334361229413152417771342518.66%88989.77%041877853.73%40976253.67%23443553.79%747440684293569291
_Vs Conference23127010126149121283010003425911440001227243420.6096110316431211325373226322923914631217190562971414.43%70888.57%041877853.73%40976253.67%23443553.79%529313470206395202
_Vs Division1035010102628-2513010001316-35220001013121130.433264470307892320117105975283887523735411.43%25292.00%041877853.73%40976253.67%23443553.79%2251342088817188

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3363W290152242103994131524177731
All Games
GPWLOTWOTL SOWSOLGFGA
3317831139070
Home Games
GPWLOTWOTL SOWSOLGFGA
1711410014635
Visitor Games
GPWLOTWOTL SOWSOLGFGA
166421124435
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1342518.66%88989.77%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
339334361222521407
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
41877853.73%40976253.67%23443553.79%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
747440684293569291


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
29Winnipeg Jets1Columbus Blue Jackets3WBox score
422Columbus Blue Jackets4Colorado Avalanche1WBox score
640St Louis Blues5Columbus Blue Jackets3LBox score
852Columbus Blue Jackets4Chicago Blackhawks3WXXBox score
1066Columbus Blue Jackets1Detroit Red Wings3LBox score
1280Columbus Blue Jackets2Edmonton Oilers1WBox score
1498Vegas Golden Knights1Columbus Blue Jackets5WBox score
16112Columbus Blue Jackets5Ottawa Senators4WXBox score
17119Quebec Nordiques1Columbus Blue Jackets3WBox score
20139Columbus Blue Jackets2Hamilton Mustangs3LXBox score
24151Columbus Blue Jackets4Seattle Kraken2WBox score
26162Anaheim Mighty Ducks3Columbus Blue Jackets4WBox score
30182Columbus Blue Jackets2Vancouver Canucks3LBox score
33196Columbus Blue Jackets1San Jose Sharks2LXXBox score
36210Columbus Blue Jackets4California Golden Seals0WBox score
38219Los Angeles Kings1Columbus Blue Jackets2WBox score
41233Columbus Blue Jackets2Los Angeles Kings3LBox score
45250California Golden Seals1Columbus Blue Jackets2WBox score
48263San Jose Sharks1Columbus Blue Jackets4WBox score
51277Vancouver Canucks1Columbus Blue Jackets2WBox score
54290Columbus Blue Jackets1Anaheim Mighty Ducks2LXXBox score
57305Seattle Kraken1Columbus Blue Jackets2WBox score
60320Pittsburgh Penguins1Columbus Blue Jackets2WBox score
62330Columbus Blue Jackets5New Jersey Devils2WBox score
63340New York Rangers3Columbus Blue Jackets2LXXBox score
65354Columbus Blue Jackets2Boston Bruins1WXBox score
68376Edmonton Oilers3Columbus Blue Jackets1LBox score
70390Detroit Red Wings3Columbus Blue Jackets4WXBox score
72404Chicago Blackhawks4Columbus Blue Jackets2LBox score
74418Columbus Blue Jackets2St Louis Blues4LBox score
77429Toronto Maple Leafs4Columbus Blue Jackets2LBox score
79446Montreal Canadiens1Columbus Blue Jackets3WBox score
81457Columbus Blue Jackets3Philadelphia Flyers1WBox score
84472Columbus Blue Jackets-San Jose Sharks-
86485Columbus Blue Jackets-California Golden Seals-
89500Los Angeles Kings-Columbus Blue Jackets-
91508Florida Panthers-Columbus Blue Jackets-
94529Columbus Blue Jackets-Florida Panthers-
96540Columbus Blue Jackets-New York Islanders-
97547New York Islanders-Columbus Blue Jackets-
99566Tampa Bay Lightning-Columbus Blue Jackets-
101576Columbus Blue Jackets-Carolina Hurricanes-
103591Colorado Avalanche-Columbus Blue Jackets-
106607Columbus Blue Jackets-Winnipeg Jets-
110626Columbus Blue Jackets-Vegas Golden Knights-
114644Seattle Kraken-Columbus Blue Jackets-
117657Columbus Blue Jackets-Anaheim Mighty Ducks-
119665Vancouver Canucks-Columbus Blue Jackets-
121676Columbus Blue Jackets-New York Rangers-
123690New Jersey Devils-Columbus Blue Jackets-
125707Columbus Blue Jackets-Pittsburgh Penguins-
127719Hamilton Mustangs-Columbus Blue Jackets-
130741Columbus Blue Jackets-Quebec Nordiques-
132756Ottawa Senators-Columbus Blue Jackets-
135766Columbus Blue Jackets-Edmonton Oilers-
137780Columbus Blue Jackets-Detroit Red Wings-
139794Chicago Blackhawks-Columbus Blue Jackets-
142810St Louis Blues-Columbus Blue Jackets-
144824Boston Bruins-Columbus Blue Jackets-
147835Columbus Blue Jackets-Toronto Maple Leafs-
149847Columbus Blue Jackets-Montreal Canadiens-
151855Philadelphia Flyers-Columbus Blue Jackets-
153872Columbus Blue Jackets-Tampa Bay Lightning-
156887Carolina Hurricanes-Columbus Blue Jackets-
158899San Jose Sharks-Columbus Blue Jackets-
160912California Golden Seals-Columbus Blue Jackets-
162927Columbus Blue Jackets-Los Angeles Kings-
164941Columbus Blue Jackets-Vancouver Canucks-
166955Anaheim Mighty Ducks-Columbus Blue Jackets-
168970Columbus Blue Jackets-Seattle Kraken-
Trade Deadline --- Trades can’t be done after this day is simulated!
171985Edmonton Oilers-Columbus Blue Jackets-
173999Detroit Red Wings-Columbus Blue Jackets-
1751013Columbus Blue Jackets-Chicago Blackhawks-
1771027Columbus Blue Jackets-St Louis Blues-
1801044Colorado Avalanche-Columbus Blue Jackets-
1811058Columbus Blue Jackets-Colorado Avalanche-
1831073Winnipeg Jets-Columbus Blue Jackets-
1841087Columbus Blue Jackets-Winnipeg Jets-
1861106Vegas Golden Knights-Columbus Blue Jackets-
1871120Columbus Blue Jackets-Vegas Golden Knights-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price91472921183
Attendance93,05974,64230,87162,98320,441
Attendance PCT92.16%90.34%91.71%93.56%95.43%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
23 16588 - 92.16% 1,179,764$20,055,981$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
31,712,357$ 73,633,667$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 31,712,357$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
27,134,563$ 107 391,668$ 41,908,476$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
43,268,874$ 87,703,307$ 72,892,458$



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
Brock McGinnAGE:31PO:55OV:67
Jakob Pelletier (R)AGE:24PO:55OV:67
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
Lars EllerAGE:36PO:55OV:70
Mark ArcobelloAGE:36PO:40OV: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
Mackenzie MacEachernAGE:31PO:55OV:68
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 NSHL26 ODW ClaimColumbus 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

[2026-04-15 2:37:39 PM] New Record for Team's Most Shots Blocked (20) in 1 Game for Columbus Blue Jackets!
[2026-03-29 9:39:14 AM] New Record for Team's Most Points (14) in 1 Game for Columbus Blue Jackets!
[2026-03-29 9:39:14 AM] New Record for Team's Most Assists (9) in 1 Game for Columbus Blue Jackets!
[2026-03-25 11:15:35 AM] New Record for Team's Most Shots Blocked (18) in 1 Game for Columbus Blue Jackets!
[2026-03-04 3:05:29 PM] New Record for Team's Most Penalties Minutes (20) in 1 Game for Columbus Blue Jackets!
[2026-02-26 4:20:13 PM] New Record for Team's Most Hits (37) in 1 Game for Columbus Blue Jackets!
[2026-02-22 12:04:53 PM] New Record for Team's Most Shots Blocked (15) in 1 Game for Columbus Blue Jackets!
[2026-02-10 3:13:07 PM] New Record for Team's Most Points (13) in 1 Game for Columbus Blue Jackets!
[2026-02-10 3:13:07 PM] New Record for Team's Most Assists (8) in 1 Game for Columbus Blue Jackets!
[2026-02-09 12:52:56 PM] TRADE : From Los Angeles Kings to Columbus Blue Jackets : $100,000 (Money).
[2026-02-09 12:52:56 PM] TRADE : From Columbus Blue Jackets to Los Angeles Kings : Cole Bardreau (65).
[2026-02-08 11:36:53 AM] New Record for Team's Most Points (12) in 1 Game for Columbus Blue Jackets!
[2026-02-08 11:36:53 AM] New Record for Team's Most Assists (7) in 1 Game for Columbus Blue Jackets!
[2026-02-08 11:36:53 AM] New Record for Team's Most Goals (5) in 1 Game for Columbus Blue Jackets!
[2026-02-06 3:11:23 PM] New Record for Team's Most Hits (31) in 1 Game for Columbus Blue Jackets!
[2026-02-06 3:11:23 PM] New Record for Team's Most Shots (40) in 1 Game for Columbus Blue Jackets!
[2026-02-02 3:12:09 PM] New Record for Team's Most Shots (38) in 1 Game for Columbus Blue Jackets!
[2026-02-02 3:12:09 PM] New Record for Team's Most Points (10) in 1 Game for Columbus Blue Jackets!
[2026-01-31 10:15:19 AM] New Record for Team's Most Penalties Minutes (19) in 1 Game for Columbus Blue Jackets!
[2026-01-31 10:15:19 AM] New Record for Team's Most Shots (36) in 1 Game for Columbus Blue Jackets!
[2026-01-29 10:02:19 AM] New Record for Team's Most Goals (4) in 1 Game for Columbus Blue Jackets!



Vasily Podkolzin is out for 2 days because of a Bruised Left Leg 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