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Columbus Blue Jackets
GP: 11 | W: 8 | L: 2 | OTL: 1 | P: 23
GF: 36 | GA: 25 | PP%: 22.50% | PK%: 88.89%
GM : Josh | Morale : 40 | Team Overall : 78
Next Games #162 vs Anaheim Mighty Ducks

Game Center
Columbus Blue Jackets
8-2-1, 23pts
2
3 Hamilton Mustangs
7-3-1, 21pts
Team Stats
W1StreakW6
3-1-0Home Record5-1-0
5-1-1Away Record2-2-1
7-2-1Last 10 Games7-2-1
3.27Goals Per Game3.27
2.27Goals Against Per Game2.45
22.50%Power Play Percentage20.51%
88.89%Penalty Kill Percentage78.38%
Columbus Blue Jackets
8-2-1, 23pts
4
2 Seattle Kraken
2-8-1, 7pts
Team Stats
W1StreakL6
3-1-0Home Record1-3-0
5-1-1Away Record1-5-1
7-2-1Last 10 Games2-7-1
3.27Goals Per Game1.91
2.27Goals Against Per Game3.27
22.50%Power Play Percentage8.00%
88.89%Penalty Kill Percentage79.63%
Anaheim Mighty Ducks
6-3-2, 18pts
Day 26
Columbus Blue Jackets
8-2-1, 23pts
Team Stats
L2StreakW1
3-3-1Home Record3-1-0
3-0-1Away Record5-1-1
5-3-2Last 10 Games7-2-1
3.36Goals Per Game3.27
3.00Goals Against Per Game3.27
28.95%Power Play Percentage22.50%
84.62%Penalty Kill Percentage88.89%
Columbus Blue Jackets
8-2-1, 23pts
Day 30
Vancouver Canucks
3-5-3, 11pts
Team Stats
W1StreakOTL2
3-1-0Home Record2-3-1
5-1-1Away Record1-2-2
7-2-1Last 10 Games3-4-3
3.27Goals Per Game2.36
2.27Goals Against Per Game2.36
22.50%Power Play Percentage23.53%
88.89%Penalty Kill Percentage80.77%
Columbus Blue Jackets
8-2-1, 23pts
Day 33
San Jose Sharks
3-6-2, 10pts
Team Stats
W1StreakL2
3-1-0Home Record3-0-1
5-1-1Away Record0-6-1
7-2-1Last 10 Games3-5-2
3.27Goals Per Game1.91
2.27Goals Against Per Game1.91
22.50%Power Play Percentage17.07%
88.89%Penalty Kill Percentage76.36%
Team Leaders
Goals
Sean Monahan
9
Assists
Sean Monahan
7
Points
Sean Monahan
16
Plus/Minus
John Carlson
6
Wins
Mackenzie Blackwood
8
Save Percentage
Mackenzie Blackwood
0.919

Team Stats
Goals For
36
3.27 GFG
Shots For
354
32.18 Avg
Power Play Percentage
22.5%
9 GF
Offensive Zone Start
38.5%
Goals Against
25
2.27 GAA
Shots Against
299
27.18 Avg
Penalty Kill Percentage
88.9%%
3 GA
Defensive Zone Start
37.4%
Team Info

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


Arena Info

NameNationwide Arena
Capacity18,000
Attendance15,189
Season Tickets8,100


Roster Info

Pro Team20
Farm Team30
Contract Limit50 / 250
Prospects64


Finance

Year to Date Revenue4,552,650$
Year To Date Expenses9,791,700$
Estimated Season Revenue40,973,850$
Estimated Season Expenses63,841,884$
Current Bank Account90,411,870$
Projected Bank Account67,456,449$


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 #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 Wagner0X99.009445647566817674697577627782755540710341500,000$
2Will Cuylle (R)0X100.009952797280838368597572696968685540710233800,000$
3Mark Arcobello0X99.0084368286498181748478706085765540407003621,500,000$
4Lars Eller0X100.0078476967778079717871736470857455407003621,500,000$
5Eric Robinson0X100.008150797077787961666466706579735540680303600,000$
6Frank Nazar (R)0X100.0054358091538181607873685971637355406802131,750,000$
7Mackenzie MacEachern0X100.008546687275777664636766716679705540680312665,000$
8Sean Kuraly0X100.008551666477798666817166666580735540680321625,000$
9Vasily Podkolzin (R)0X100.0095477276738174615670646766707055406802431,500,000$
10Brett Leason0X100.0072497963927879636664647162758255406702621,000,000$
11Jakob Pelletier (R)0X100.0057358087507575636469656870708055406702431,000,000$
12Sam Colangelo (R)0X100.006345837277756863576277636968785540670233900,000$
13Xavier Ouellet0X100.007746737385818370507364756280705540730313750,000$
14Dan Renouf0X100.008175766987737265506362686078695540690312600,000$
15Jon Merrill0X99.005648726784787968507062706081725540680331600,000$
16Mikko Lehtonen0X100.006544837276697161506559665877735540660312600,000$
17Nick Seeler0X100.005552657165717562506461705879695540660321625,000$
18Tim Heed0X100.005240778149727262506161756180665540660342750,000$
19Brock McGinn0X100.007940797352757564676767706780785540670312665,000$
20Chris Kreider0X100.008653715484777761716565666082825540660341600,000$
21Matthew Peca0X100.005940797850767664796966646880635540660321600,000$
22Filip Zadina0X100.0058427973758081645565665767736555406502521,750,000$
23Adam Beckman (R)0X100.005940577565667455506259716170585540630243900,000$
24Olen Zellweger (R)0X100.0055358394588181675076687269637355407102131,000,000$
25Calle Rosen0X84.915140797975717564506759696180725540680311600,000$
26Jaycob Megna0X88.265854696299747464506762695780815540680321600,000$
TEAM AVERAGE99.32724679797382827064747270707774554072
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 Blackwood0100.0071889088919293939392927768554085N02812,760,000$
2Semyon Varlamov0100.007077828279838381818381877355407803722,750,000$
Scratches
Farm Team
1Collin Delia098.007771718279798080797980776555407603121,071,427$
2Roman Will0100.00775757807777787777777380655540730332750,000$
3Matt O'Connor081.16746565907679807878797881665540750331600,000$
4Jeremy Smith0100.00786364787574757576747264655540710361500,000$
TEAM AVERAGE96.5375707283808182818181797867554076
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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 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 JacketsC119716500111545122220.00%721319.394269340000121058.93%22461001.5001000211
2Anthony BeauvillierColumbus Blue JacketsRW1145928021133641011.11%219717.972241034000000056.25%1643000.9100000100
3Chris TierneyColumbus Blue JacketsC113691759142762111.11%618817.13033328000031056.91%18165000.9600001101
4Vincent TrocheckColumbus Blue JacketsC1135802014253213219.38%117515.96000000002262060.84%16692000.9101000010
5Carter VerhaegheColumbus Blue JacketsLW11257360199391365.13%320618.76022334000060046.15%13131100.6801000011
6Matt DumbaColumbus Blue JacketsD11167-220292317185.88%1529827.16134238000127000%057000.4700000001
7Dominik KubalikColumbus Blue JacketsLW112461803111257248.00%420018.22101228000080150.00%2045000.6000000011
8Valeri NichushkinColumbus Blue JacketsRW1133614019183511228.57%121719.761122280000262021.43%1445000.5511000002
9Bryan RustColumbus Blue JacketsRW11325019151992681311.54%314313.0800001000000040.00%545000.7000120000
10J.J. MoserColumbus Blue JacketsD1104400022011770%1522820.7900002500003000%086000.3500000000
11Zach WerenskiColumbus Blue JacketsD11134-25532014367.14%628726.11011238000220000%0712000.2800001010
12Conor GarlandColumbus Blue JacketsLW11213-14010151321115.38%215013.6400001000020053.85%1331000.4000000010
13Riley StillmanColumbus Blue JacketsD1103319526164750%621319.4300000000020000%0111000.2800100000
14Hampus LindholmColumbus Blue JacketsD1102252152144020%617716.16000025000027000%014000.2200010000
15Jonathan DrouinColumbus Blue JacketsLW111120001712298.33%1746.79000000000000100.00%121000.5400000000
16Nino NiederreiterColumbus Blue JacketsRW11112000197841112.50%0918.3500000000112100%133000.4400000000
17John CarlsonColumbus Blue JacketsD11011600471000%212010.940000000001000%014000.1700000000
18Curtis LazarColumbus Blue JacketsC110000401945320%1827.4800000000000054.55%221000000000000
Team Total or Average1983559942099352582473541032009.89%81326816.51914233332000062017157.10%6768276100.5814232467
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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
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 Jackets118210.9192.176650024298127110.7504110212
Team Total or Average118210.9192.176650024298127114110212


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 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$4,479,610$0$0$No---------------------------Link
Bryan Rust (1 Way Contract)Columbus Blue JacketsRW331992-05-11USANo192 Lbs5 ft11NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm4,000,000$3,468,085$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$3,901,596$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$6,069,149$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$1,447,926$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$2,601,064$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$3,901,596$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$3,034,574$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$2,601,064$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$2,659,154$0$0$No---------------------------Link
Jonathan DrouinColumbus Blue JacketsLW301995-03-28CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,670,000$1,447,926$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$2,392,979$0$0$No---------------------------Link
Matt Dumba (1 Way Contract)Columbus Blue JacketsD301994-07-25CANNo181 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm3,250,000$2,817,819$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$3,121,277$0$0$No---------------------------Link
Riley StillmanColumbus Blue JacketsD271998-03-09CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,450,000$1,257,181$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$4,811,968$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$2,384,309$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$3,641,489$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$3,468,085$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$2,601,064$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 TrocheckBryan Rust33023
4Jonathan DrouinCurtis LazarNino Niederreiter0023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaZach Werenski40032
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
2Hampus LindholmJ.J. Moser40005
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 Kubalik60041
2Chris TierneyAnthony Beauvillier40041
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaZach Werenski60050
2Hampus LindholmJ.J. Moser40050
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, , ,
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
1Chicago Blackhawks10000010431000000000001000001043120.667461000102138121794199429200.00%20100.00%015225958.69%13825154.98%9616259.26%2717189199
2Colorado Avalanche11000000413000000000001100000041331.00045900202028139602610614600.00%30100.00%015225958.69%13825154.98%9616259.26%20112010189
3Detroit Red Wings1010000013-2000000000001010000013-200.00012300100027171903356174125.00%3166.67%015225958.69%13825154.98%9616259.26%2012229177
4Edmonton Oilers11000000211000000000001100000021131.0002350001104091615023614313133.33%20100.00%015225958.69%13825154.98%9616259.26%2314208168
5Hamilton Mustangs1000010023-1000000000001000010023-110.333246000110375141623344254125.00%20100.00%015225958.69%13825154.98%9616259.26%2213229158
6Ottawa Senators10001000541000000000001000100054120.667581300013123551212584214250.00%2150.00%015225958.69%13825154.98%9616259.26%2011198199
7Quebec Nordiques11000000312110000003120000000000031.0003690001203213118031417242150.00%10100.00%015225958.69%13825154.98%9616259.26%2415189178
8Seattle Kraken11000000422000000000001100000042231.000471100211033161160291015265240.00%5180.00%015225958.69%13825154.98%9616259.26%2313218157
9St Louis Blues1010000035-21010000035-20000000000000.00035810111036208802871922100.00%20100.00%015225958.69%13825154.98%9616259.26%2214207178
10Vegas Golden Knights11000000514110000005140000000000031.000571200302026123110288419300.00%20100.00%015225958.69%13825154.98%9616259.26%2214208178
11Winnipeg Jets11000000312110000003120000000000031.00036900210034131011024106306116.67%30100.00%015225958.69%13825154.98%9616259.26%2414188169
Total1162011103625114310000014867310111022175230.697365995101271523541351051117299819925840922.50%27388.89%015225958.69%13825154.98%9616259.26%2531522229719096
_Since Last GM Reset1162011103625114310000014867310111022175230.697365995101271523541351051117299819925840922.50%27388.89%015225958.69%13825154.98%9616259.26%2531522229719096
_Vs Conference85200010261793210000011745310001015105170.708264167101249126211275754210657418830516.67%22290.91%015225958.69%13825154.98%9616259.26%1861121607013770
_Vs Division632000101714321100000660421000101183110.6111727441073612038461584153475514322313.64%15193.33%015225958.69%13825154.98%9616259.26%140831195310554

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1123W1365995354299819925810
All Games
GPWLOTWOTL SOWSOLGFGA
116211103625
Home Games
GPWLOTWOTL SOWSOLGFGA
4310000148
Visitor Games
GPWLOTWOTL SOWSOLGFGA
73111102217
Last 10 Games
WLOTWOTL SOWSOL
720100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
40922.50%27388.89%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1351051117127152
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
15225958.69%13825154.98%9616259.26%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2531522229719096


Last Played Games
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
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 Ducks-Columbus Blue Jackets-
30182Columbus Blue Jackets-Vancouver Canucks-
33196Columbus Blue Jackets-San Jose Sharks-
36210Columbus Blue Jackets-California Golden Seals-
38219Los Angeles Kings-Columbus Blue Jackets-
41233Columbus Blue Jackets-Los Angeles Kings-
45250California Golden Seals-Columbus Blue Jackets-
48263San Jose Sharks-Columbus Blue Jackets-
51277Vancouver Canucks-Columbus Blue Jackets-
54290Columbus Blue Jackets-Anaheim Mighty Ducks-
57305Seattle Kraken-Columbus Blue Jackets-
60320Pittsburgh Penguins-Columbus Blue Jackets-
62330Columbus Blue Jackets-New Jersey Devils-
63340New York Rangers-Columbus Blue Jackets-
65354Columbus Blue Jackets-Boston Bruins-
68376Edmonton Oilers-Columbus Blue Jackets-
70390Detroit Red Wings-Columbus Blue Jackets-
72404Chicago Blackhawks-Columbus Blue Jackets-
74418Columbus Blue Jackets-St Louis Blues-
77429Toronto Maple Leafs-Columbus Blue Jackets-
79446Montreal Canadiens-Columbus Blue Jackets-
81457Columbus Blue Jackets-Philadelphia Flyers-
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
Attendance20,84516,3186,24012,6684,685
Attendance PCT87.73%83.94%78.79%79.97%92.96%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
36 15189 - 84.38% 1,138,163$4,552,650$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
9,791,700$ 73,633,667$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 9,791,700$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
40,973,850$ 163 391,668$ 63,841,884$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
65,914,266$ 90,411,870$ 67,456,449$



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
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
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

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



Matt O'Connor is out for 2 weeks because of a Right Forearm Injury.
Calle Rosen is out for 1 week because of a Lacerated Right Calf Injury.
Jaycob Megna is out for 1 week because of a Abdomen/Ribs 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