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Columbus Blue Jackets
GP: 82 | W: 62 | L: 14 | OTL: 6 | P: 130
GF: 334 | GA: 225 | PP%: 25.14% | PK%: 83.12%
GM : Alexandre Fyfe | Morale : 95 | Team Overall : N/A
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Game Center
Columbus Blue Jackets
62-14-6, 130pts
3
FINAL
5 Nashville Predators
55-22-5, 115pts
Team Stats
W1StreakOTW1
30-7-4Home Record30-7-4
32-7-2Away Record25-15-1
5-3-2Last 10 Games6-3-1
4.07Goals Per Game3.79
2.74Goals Against Per Game2.93
25.14%Power Play Percentage20.33%
83.12%Penalty Kill Percentage82.63%
Carolina Hurricanes
22-54-6, 50pts
3
FINAL
4 Columbus Blue Jackets
62-14-6, 130pts
Team Stats
L2StreakW1
13-26-2Home Record30-7-4
9-28-4Away Record32-7-2
1-7-2Last 10 Games5-3-2
2.57Goals Per Game4.07
4.16Goals Against Per Game2.74
16.15%Power Play Percentage25.14%
71.77%Penalty Kill Percentage83.12%
Team Leaders
Goals
Alex Tuch
46
Assists
Cale Makar
61
Points
Elias Pettersson
99
Plus/Minus
Roope Hintz
48
Wins
Andrei Vasilevskiy
42
Save Percentage
Cale Morris
0.938

Team Stats
Goals For
334
4.07 GFG
Shots For
2864
34.93 Avg
Power Play Percentage
25.1%
89 GF
Offensive Zone Start
43.0%
Goals Against
225
2.74 GAA
Shots Against
2286
27.88 Avg
Penalty Kill Percentage
83.1%%
40 GA
Defensive Zone Start
38.0%
Team Info

General ManagerAlexandre Fyfe
CoachBruce Cassidy
DivisionMetropolitan
ConferenceEastern Conference
CaptainElias Pettersson
Assistant #1David Pastrnak
Assistant #2


Arena Info

NameNationwide Arena
Capacity20,000
Attendance18,831
Season Tickets8,000


Roster Info

Pro Team21
Farm Team22
Contract Limit43 / 250
Prospects15


Salary Cap

Estimated Season Salary Cap69,820,893$
Available Salary Cap12,679,107$
Special Salary Cap Value0$
Players In Salary Cap21


Finance

Year to Date Revenue75,093,143$
Year To Date Expenses74,969,583$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account122,704,862$
Projected Bank Account122,704,862$


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
1Andrew CoglianoXXX100.006633877166818964626360836290763987003631,000,000$
2David Pastrnak (A)XX100.006535888576908987598293639072776981002724,000,000$
3Mark StoneX100.005937937687897484588177827576883879003154,000,000$
4Matt NietoXX100.0064379367728389655963627664787256910N03042,750,000$
5Chandler StephensonXX100.006335908078929076858271827072735366002913,025,000$
6Elias Pettersson (C)XXX100.006135958576929086748483848367778580002447,800,000$
7Alex TuchXX100.006038928390898379568280847869727191002734,750,000$
8J.T. CompherXXX100.005640887472918973807471856971706383002833,500,000$
9Alex IafalloXX100.005735947375888672587371847073743591002922,450,000$
10Roope HintzXX100.006237888786888984837986768269736189002644,450,000$
11Kirby DachXX100.006244797689878475707367717563658987002222,500,000$
12Cole Sillinger (R)X100.00714185687883896675636264676263874700201925,000$
13Ryan SuterX100.006136876778939065307660775292793686003842,000,000$
14Charlie McAvoyX100.007642747981948776308769835868708085002537,300,000$
15Jake Walman (R)X100.00663980748190817130717489586871986800273750,000$
16Ilya LyubushkinX100.008139806580898763307255834970723649002922,000,000$
17Moritz SeiderX100.00843786778794907430826286546265888400221925,000$
18Cale MakarX100.006834878570958680309283846366718678002449,000,000$
Scratches
1Jake Sanderson (R)X69.51573695718292746830725784526061887400212925,000$
Farm Team
1Drew StaffordXX100.00403540403580904020404040302525115000371750,000$
2Nathan GerbeX100.00403540403580904020404040302525115000361750,000$
3Brandon PirriXXX100.00403540403580904020404040302525115000331775,000$
4Tye McGinnX100.00403540403580904020404040302525115000331750,000$
5Jordan SzwarzX100.00403540403580904020404040302525115000321750,000$
6Paul CareyX100.00403540403580904020404040302525115000351750,000$
7Danick MartelX100.00573971586690785761595756606971365000283950,000$
8Austin CzarnikXX100.006135946563808467716663626471733444003021,500,000$
9Phillip Di GiuseppeX100.00743977677388806966676870697172603700291700,000$
10Michael PezzettaX100.00907864657973836457616256606567474800251750,000$
11Vasily Podkolzin (R)X100.00673890687580886663626461676264864600221925,000$
12Brandon DavidsonX100.00734271548265705330555456467274305000321750,000$
13Chad RuhwedelX100.00803492637186835930675779497573264600331700,000$
14Andreas Englund (R)X100.00805362608178825930615864496769643500272700,000$
15Dennis Cholowski (R)X100.00693890678283816530685861506567795000252750,000$
16Gustav LindstromX100.00653687657886786330725466496567723500243850,000$
17Jordan Spence (R)X100.00633785666790856430696062516264651500222750,000$
18Alexander PetrovicX100.00817172599068865830575561477173595000313900,000$
19Zach TrotmanX100.00403540403580904020404040302525115000331750,000$
20Luke WitkowskiX100.00714167568271765430525056457375295000351750,000$
TEAM AVERAGE98.4065378776798986745476718067717266790
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
1Andrei Vasilevskiy100.00839890928693949494809578839985002914,000,000$
2Joonas Korpisalo100.00727984827579818182668372839979002931,300,000$
Scratches
Farm Team
1Scott Wedgewood100.0071897581747880808167817285992400312700,000$
2Cale Morris (R)100.0052855775535555565644616877374600272750,000$
TEAM AVERAGE100.007889878781868888887389758399820
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bruce Cassidy85918882878160CAN5834,200,000$


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
1Elias PetterssonColumbus Blue JacketsC/LW/RW71435699412006911834310128212.54%11140719.8210223265264000018255.22%13400001.41020007116
2Roope HintzColumbus Blue JacketsC/LW74444993482201001823237623613.62%10150620.3591322772740002438455.45%202000001.24030001067
3Alex TuchColumbus Blue JacketsLW/RW8246459115335741223098324414.89%16145217.72121628662480000112342.57%10100011.25031001162
4Cale MakarColumbus Blue JacketsD611261731734011490136421028.82%75145923.933182169217101197210%000001.0000000855
5David PastrnakColumbus Blue JacketsLW/RW7234377119360113772396716514.23%3130118.079112043231000096340.00%13000021.0903000652
6Mark StoneColumbus Blue JacketsRW78293968510066912767819310.51%13118515.19101020682350003546242.71%19200011.1512000345
7Moritz SeiderColumbus Blue JacketsD741945641673513968134347614.18%88164122.18121527832260001158310%000000.7800000334
8Chandler StephensonColumbus Blue JacketsC/LW7122416316260801551905212911.58%15135919.1591423392080000512253.46%169100000.9311000318
9Charlie McAvoyColumbus Blue JacketsD7011485994601047394347611.70%66150821.557233059257000153200%000000.7800000133
10Ryan SuterColumbus Blue JacketsD80433371433555525326507.55%82159119.904711222450110184100%000000.4600001011
11Jake WalmanColumbus Blue JacketsD631026365200504766194815.15%75107517.0744828110000097120%000000.6700000142
12Alex IafalloColumbus Blue JacketsC/LW8216183471204185169531209.47%16121114.7800062900072484041.41%9900200.5600000052
13Kirby DachColumbus Blue JacketsC/RW821023334429513065145281006.90%6140217.1034724105000052245.65%13800000.4711001131
14J.T. CompherColumbus Blue JacketsC/LW/RW77101626-91003013013434867.46%23100213.0211233100062071150.31%113500100.5200000101
15Jake SandersonColumbus Blue JacketsD64422262939534705312237.55%86130020.320002220000140100%000000.4000001000
16Jordan SpenceCleveland Monsters (CBJ)D6241822-1424056375516297.27%51110017.7514519154011051000%000000.4000000100
17Chad RuhwedelCleveland Monsters (CBJ)D43314172020055252131914.29%4164214.95123428011068000%000000.5300000202
18Ilya LyubushkinColumbus Blue JacketsD662121411580112512410208.33%80113217.160001200110144000%000000.2500000011
19Matt NietoColumbus Blue JacketsLW/RW826612-4140324447114412.77%76728.2000021201121312047.06%3400000.3600000000
20Andrew CoglianoColumbus Blue JacketsC/LW/RW804610-916059587723505.19%117439.300112240000640048.26%17200000.2700000001
21Vasily PodkolzinColumbus Blue JacketsRW122353202011821011.11%117914.93000114101232028.57%1400000.5600000001
22Phillip Di GiuseppeCleveland Monsters (CBJ)LW11314300128102430.00%0847.6600001000000145.45%2200000.9500000021
23Cole SillingerColumbus Blue JacketsC161343201424174135.88%220813.03000125000000053.21%26500000.3800000000
24Austin CzarnikCleveland Monsters (CBJ)C/RW18112-200131614687.14%019911.080000140001111041.89%14800000.2000000001
25Gustav LindstromCleveland Monsters (CBJ)D1202241001243140%1321417.9000022800003000%000000.1900000000
26Andreas EnglundCleveland Monsters (CBJ)D70110801730000%512718.2300000011012000%000000.1600000000
27Michael PezzettaCleveland Monsters (CBJ)LW8101010021330133.33%0749.3000000000000043.08%6500000.2700000000
Team Total or Average151834162696729160725162216992953817213211.55%7962578516.99951652606863036268261847642451.79%636000340.75315103586056
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 Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Andrei VasilevskiyColumbus Blue Jackets6342750.9052.6335130415416220100.733155824511
2Joonas KorpisaloColumbus Blue Jackets3020610.8982.8014132166646051002457103
3Scott WedgewoodCleveland Monsters (CBJ)70100.8714.72229001813900000217000
4Cale MorrisCleveland Monsters (CBJ)10100.9382.4025001160010001000
Team Total or Average101621560.9012.775180252392423062158499614


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 Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date 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 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
Alex IafalloColumbus Blue JacketsC/LW2912/21/1993No200 Lbs6 ft0NoNoN/ANoYes2Pro & Farm2,450,000$2,450,000$0$No2,450,000$--------No--------Link
Alex TuchColumbus Blue JacketsLW/RW275/10/1996No219 Lbs6 ft4NoNoN/ANoYes3Pro & Farm4,750,000$4,750,000$0$No4,750,000$4,750,000$-------NoNo-------Link
Andrei VasilevskiyColumbus Blue JacketsG297/25/1994No220 Lbs6 ft4NoNoN/ANoNo1Pro & Farm4,000,000$4,000,000$0$No------------------Link
Andrew CoglianoColumbus Blue JacketsC/LW/RW367/28/1987No179 Lbs5 ft10NoNoN/ANoNo3Pro Only1,000,000$1,000,000$0$No1,000,000$1,000,000$-------NoNo-------Link
Cale MakarColumbus Blue JacketsD2410/30/1998No187 Lbs5 ft11NoNoN/ANoNo4Pro & Farm9,000,000$9,000,000$0$No9,000,000$9,000,000$9,000,000$------NoNoNo------Link
Chandler StephensonColumbus Blue JacketsC/LW294/22/1994No209 Lbs6 ft0NoNoN/ANoNo1Pro & Farm3,025,000$3,025,000$0$No------------------Link
Charlie McAvoyColumbus Blue JacketsD2512/21/1997No209 Lbs6 ft1NoNoN/ANoNo3Pro & Farm7,300,000$7,300,000$0$No7,300,000$7,300,000$-------NoNo-------Link
Cole SillingerColumbus Blue JacketsC205/16/2003Yes201 Lbs6 ft1NoNoN/ANoNo1Pro & Farm925,000$925,000$0$No------------------Link
David PastrnakColumbus Blue JacketsLW/RW275/25/1996No195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm4,000,000$4,000,000$0$No4,000,000$--------No--------Link
Elias PetterssonColumbus Blue JacketsC/LW/RW2411/12/1998No176 Lbs6 ft2NoNoN/ANoNo4Pro & Farm7,800,000$7,800,000$0$No7,800,000$7,800,000$7,800,000$------NoNoNo------Link
Ilya LyubushkinColumbus Blue JacketsD294/6/1994No200 Lbs6 ft2NoNoTrade1/29/2024NoNo21/29/2024Pro & Farm2,000,000$2,000,000$0$No2,000,000$--------No--------Link
J.T. CompherColumbus Blue JacketsC/LW/RW284/8/1995No190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm3,500,000$3,500,000$0$No3,500,000$3,500,000$-------NoNo-------Link
Jake Sanderson (Out of Payroll)Columbus Blue JacketsD217/8/2002Yes195 Lbs6 ft3NoNoN/ANoNo2Pro & Farm925,000$0$0$Yes925,000$--------No--------Link
Jake WalmanColumbus Blue JacketsD272/20/1996Yes215 Lbs6 ft2NoNoN/ANoNo3Pro & Farm750,000$750,000$0$No750,000$750,000$-------NoNo-------Link
Joonas KorpisaloColumbus Blue JacketsG294/28/1994No193 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,300,000$1,300,000$0$No1,300,000$1,300,000$-------NoNo-------Link
Kirby DachColumbus Blue JacketsC/RW221/21/2001No212 Lbs6 ft4NoNoN/ANoYes2Pro & Farm2,500,000$2,500,000$0$No2,500,000$--------No--------Link
Mark StoneColumbus Blue JacketsRW315/13/1992No217 Lbs6 ft3NoNoN/ANoNo5Pro & Farm4,000,000$4,000,000$0$No8,000,000$8,000,000$8,000,000$8,000,000$-----NoNoNoNo-----Link
Matt NietoColumbus Blue JacketsLW/RW3011/5/1992No187 Lbs5 ft11YesNoN/ANoYes4Pro & Farm2,750,000$2,750,000$0$No2,750,000$2,750,000$2,750,000$------YesYesYes------Link
Moritz SeiderColumbus Blue JacketsD224/6/2001No204 Lbs6 ft4NoNoN/ANoNo1Pro & Farm925,000$925,000$0$No------------------Link
Roope HintzColumbus Blue JacketsC/LW2611/17/1996No215 Lbs6 ft3NoNoN/ANoNo4Pro & Farm4,450,000$4,450,000$0$No4,450,000$4,450,000$4,450,000$------NoNoNo------Link
Ryan SuterColumbus Blue JacketsD387/28/1985No205 Lbs6 ft1NoNoN/ANoNo4Pro & Farm2,000,000$2,000,000$0$No2,000,000$2,000,000$2,000,000$------NoNoNo------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2127.29201 Lbs6 ft22.713,302,381$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
69,350,000$64,475,000$52,600,000$34,000,000$8,000,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew CoglianoJ.T. CompherKirby Dach36023
2Alex IafalloVasily Podkolzin36023
3Matt NietoCole Sillinger23032
4Alex TuchMark StoneDavid Pastrnak5041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya Lyubushkin38032
2Ryan Suter32032
3Charlie McAvoy24041
46032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex TuchDavid Pastrnak65014
2Alex IafalloJ.T. CompherMark Stone35014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
165023
2Charlie McAvoyRyan Suter35023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Andrew CoglianoMatt Nieto60140
2Alex Iafallo40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan SuterIlya Lyubushkin55140
245140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Andrew Cogliano55140Ilya Lyubushkin55140
2Matt Nieto45140Ryan Suter45140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Cole SillingerMatt Nieto60014
2Andrew CoglianoVasily Podkolzin40014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya Lyubushkin60032
2Ryan Suter40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alex IafalloCole SillingerVasily Podkolzin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matt NietoJ.T. CompherAndrew CoglianoIlya Lyubushkin
Extra Forwards
Normal PowerPlayPenalty Kill
Alex Tuch, Cole Sillinger, Matt NietoMatt Nieto, Alex IafalloVasily Podkolzin
Extra Defensemen
Normal PowerPlayPenalty Kill
Ilya Lyubushkin, , Ryan SuterJake Walman,
Penalty Shots
Cole Sillinger, Vasily Podkolzin, J.T. Compher, Alex Tuch, Alex Iafallo
Goalie
#1 : Andrei Vasilevskiy, #2 : Joonas Korpisalo
Custom OT Lines Forwards
Cole Sillinger, Vasily Podkolzin, Alex Tuch, , Andrew Cogliano, Alex Iafallo, Alex Iafallo, Matt Nieto, Kirby Dach, , J.T. Compher
Custom OT Lines Defensemen
Ilya Lyubushkin, , , Ryan Suter, Jake Walman


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 Ducks210000101293100000104311100000086241.0001220320024527122242565017142915640.00%7271.43%01630305853.30%1372270450.74%683134650.74%523847142513
2Arizona Coyotes21001000752100010005411100000021141.00071219001321611225222721610329111.11%5180.00%01630305853.30%1372270450.74%683134650.74%483347152512
3Boston Bruins3300000016882200000011741100000051461.00016294500547010126304506912146511545.45%5180.00%01630305853.30%1372270450.74%683134650.74%815860193820
4Buffalo Sabres320010001138100010002112200000092761.00011162701361110633422746318204418422.22%100100.00%01630305853.30%1372270450.74%683134650.74%815761223820
5Calgary Flames211000007701010000023-11100000054120.50071219003220721729260621210389222.22%5180.00%01630305853.30%1372270450.74%683134650.74%493344142614
6Carolina Hurricanes43001000201192200000094521001000117481.0002035550010271154583560110326227412325.00%11190.91%01630305853.30%1372270450.74%683134650.74%1097884274926
7Chicago Blackhawks220000001046110000007251100000032141.000101929004150662224200421383916531.25%4175.00%01630305853.30%1372270450.74%683134650.74%564139142412
8Colorado Avalanche220000001046110000005141100000053241.000101828004240873030270612142612433.33%20100.00%11630305853.30%1372270450.74%683134650.74%564238122413
9Dallas Stars2110000078-11010000046-21100000032120.50071219004300451816110581714504125.00%7185.71%01630305853.30%1372270450.74%683134650.74%453047142613
10Detroit Red Wings3210000012661010000035-22200000091840.66712213301435011132314808137226217529.41%9188.89%01630305853.30%1372270450.74%683134650.74%805865203418
11Edmonton Oilers220000001064110000004311100000063341.000101828005230923728270527104211436.36%40100.00%11630305853.30%1372270450.74%683134650.74%554139142412
12Florida Panthers3200010016133110000007522100010098150.8331626420046601013228383922012579333.33%60100.00%01630305853.30%1372270450.74%683134650.74%725069223919
13Los Angeles Kings211000005501010000024-21100000031220.5005101510311080173033050171037500.00%4175.00%01630305853.30%1372270450.74%683134650.74%564138122513
14Minnesota Wild22000000523110000003211100000020241.0005914012210733326140501324381516.67%100100.00%01630305853.30%1372270450.74%683134650.74%523744132211
15Montreal Canadiens33000000165111100000042222000000123961.00016304600376010037333007732306111654.55%14192.86%01630305853.30%1372270450.74%683134650.74%775564213819
16Nashville Predators20200000710-31010000045-11010000035-200.000713200014206413232806637183512325.00%9366.67%01630305853.30%1372270450.74%683134650.74%473247152512
17New Jersey Devils431000001394220000006242110000077060.750132538112650154524755011735267917317.65%11281.82%01630305853.30%1372270450.74%683134650.74%1077884274825
18New York Islanders31101000101002010100068-21100000042240.667101828004321782332221902539549222.22%10190.00%01630305853.30%1372270450.74%683134650.74%674774233818
19New York Rangers44000000181262200000075222000000117481.000183048003780159465063012145338018633.33%14378.57%01630305853.30%1372270450.74%683134650.74%1017085285227
20Ottawa Senators330000001385220000009631100000042261.0001324370054408332252601042820637114.29%10280.00%01630305853.30%1372270450.74%683134650.74%755166233818
21Philadelphia Flyers431000001697220000008352110000086260.750162844008620118454033010141357015533.33%9366.67%01630305853.30%1372270450.74%683134650.74%946695285024
22Pittsburgh Penguins430001001578210001006422200000093670.87515294400654014754474609914226423313.04%11372.73%01630305853.30%1372270450.74%683134650.74%1057585294926
23San Jose Sharks2110000068-2110000006421010000004-420.50061117002130942532370629104615213.33%5340.00%01630305853.30%1372270450.74%683134650.74%523642152513
24Seattle Kraken220000001037110000004041100000063341.00010203001343088233431044663316318.75%30100.00%01630305853.30%1372270450.74%683134650.74%553837152714
25St. Louis Blues200010014401000000123-11000100021130.750481200120278192130135581423700.00%7185.71%01630305853.30%1372270450.74%683134650.74%533845162714
26Tampa Bay Lightning30102000131302000200010821010000035-240.6671324370032628325203261073118676116.67%9188.89%11630305853.30%1372270450.74%683134650.74%725175203617
27Toronto Maple Leafs31100100910-12010010046-21100000054130.50091423004410913328291992916577228.57%6183.33%01630305853.30%1372270450.74%683134650.74%745371213518
28Vancouver Canucks220000001037110000005231100000051441.00010182800523073212725040712346233.33%6183.33%01630305853.30%1372270450.74%683134650.74%564138122413
29Vegas Golden Knights2100000110911000000156-11100000053230.750101828004330782821285571410428225.00%5260.00%01630305853.30%1372270450.74%683134650.74%503547152613
30Washington Capitals311001001091110000005232010010057-230.500101828005230942931340843135506116.67%12283.33%01630305853.30%1372270450.74%683134650.74%735170223819
31Winnipeg Jets21100000651110000004221010000023-120.50061117002220622124170582616438337.50%7185.71%01630305853.30%1372270450.74%683134650.74%493345132513
Total825414074123342251094124705212163118454130702200171107641300.7933345969302511510510610286491593398942228666455415343548925.14%2374083.12%31630305853.30%1372270450.74%683134650.74%2114150218085891033533
_Since Last GM Reset825414074123342251094124705212163118454130702200171107641300.7933345969302511510510610286491593398942228666455415343548925.14%2374083.12%31630305853.30%1372270450.74%683134650.74%2114150218085891033533
_Vs Conference503470540020813375251630420097682925184012001116546820.82020836757513696767516805575195881614074243649471865026.88%1472285.03%11630305853.30%1372270450.74%683134650.74%12749061117358626320
_Vs Division261840220010267351310101100472819138301100553916420.80810218328511383131290430728231327152172124711002323.00%781580.77%01630305853.30%1372270450.74%683134650.74%659468581187326167

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82130W133459693028642286664554153425
All Games
GPWLOTWOTL SOWSOLGFGA
8254147412334225
Home Games
GPWLOTWOTL SOWSOLGFGA
412475212163118
Visitor Games
GPWLOTWOTL SOWSOLGFGA
413072200171107
Last 10 Games
WLOTWOTL SOWSOL
431200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3548925.14%2374083.12%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9159339894211510510610
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1630305853.30%1372270450.74%683134650.74%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2114150218085891033533


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
311Philadelphia Flyers2Columbus Blue Jackets5BWBoxScore
522New York Rangers3Columbus Blue Jackets4BWBoxScore
735Detroit Red Wings5Columbus Blue Jackets3BLBoxScore
1163Calgary Flames3Columbus Blue Jackets2BLBoxScore
1273Columbus Blue Jackets2Minnesota Wild0AWBoxScore
1584Anaheim Ducks3Columbus Blue Jackets4BWXXBoxScore
17103Columbus Blue Jackets8Montreal Canadiens1AWBoxScore
19121New York Islanders4Columbus Blue Jackets5BWXBoxScore
21136Columbus Blue Jackets3Dallas Stars2AWBoxScore
24146Tampa Bay Lightning4Columbus Blue Jackets5BWXBoxScore
26166Columbus Blue Jackets3Washington Capitals4ALXBoxScore
28176Columbus Blue Jackets5Florida Panthers3AWBoxScore
31194Dallas Stars6Columbus Blue Jackets4BLBoxScore
33210Columbus Blue Jackets4Detroit Red Wings0AWBoxScore
34225Columbus Blue Jackets6New York Rangers5AWBoxScore
36230Pittsburgh Penguins2Columbus Blue Jackets5BWBoxScore
38243Arizona Coyotes4Columbus Blue Jackets5BWXBoxScore
40263Columbus Blue Jackets2Washington Capitals3ALBoxScore
41268Columbus Blue Jackets5Philadelphia Flyers2AWBoxScore
44280Chicago Blackhawks2Columbus Blue Jackets7BWBoxScore
46297Columbus Blue Jackets4New Jersey Devils6ALBoxScore
48318Columbus Blue Jackets5Carolina Hurricanes2AWBoxScore
49321Boston Bruins4Columbus Blue Jackets6BWBoxScore
51337Montreal Canadiens2Columbus Blue Jackets4BWBoxScore
53354Ottawa Senators2Columbus Blue Jackets4BWBoxScore
55371Columbus Blue Jackets5Boston Bruins1AWBoxScore
57381Los Angeles Kings4Columbus Blue Jackets2BLBoxScore
59397Columbus Blue Jackets4New York Islanders2AWBoxScore
60405St. Louis Blues3Columbus Blue Jackets2BLXXBoxScore
62420Florida Panthers5Columbus Blue Jackets7BWBoxScore
66449Columbus Blue Jackets5Toronto Maple Leafs4AWBoxScore
68464New Jersey Devils0Columbus Blue Jackets2BWBoxScore
71485Columbus Blue Jackets2Buffalo Sabres0AWBoxScore
73499Washington Capitals2Columbus Blue Jackets5BWBoxScore
75518Toronto Maple Leafs2Columbus Blue Jackets1BLXBoxScore
79528Columbus Blue Jackets3New Jersey Devils1AWBoxScore
81546Toronto Maple Leafs4Columbus Blue Jackets3BLBoxScore
82556Columbus Blue Jackets7Buffalo Sabres2AWBoxScore
85574Boston Bruins3Columbus Blue Jackets5BWBoxScore
87592Columbus Blue Jackets3Philadelphia Flyers4ALBoxScore
89610Minnesota Wild2Columbus Blue Jackets3BWBoxScore
92631Columbus Blue Jackets2Winnipeg Jets3ALBoxScore
96659Seattle Kraken0Columbus Blue Jackets4BWBoxScore
98673Vancouver Canucks2Columbus Blue Jackets5BWBoxScore
102703New Jersey Devils2Columbus Blue Jackets4BWBoxScore
106736Columbus Blue Jackets6Edmonton Oilers3AWBoxScore
108753Columbus Blue Jackets5Calgary Flames4AWBoxScore
110771Columbus Blue Jackets5Vancouver Canucks1AWBoxScore
111774Columbus Blue Jackets6Seattle Kraken3AWBoxScore
113776Columbus Blue Jackets2St. Louis Blues1AWXBoxScore
124812Tampa Bay Lightning4Columbus Blue Jackets5BWXBoxScore
127826Columbus Blue Jackets4Ottawa Senators2AWBoxScore
131861Columbus Blue Jackets0San Jose Sharks4ALBoxScore
134883Columbus Blue Jackets3Los Angeles Kings1AWBoxScore
135886Columbus Blue Jackets8Anaheim Ducks6AWBoxScore
137900Buffalo Sabres1Columbus Blue Jackets2BWXBoxScore
139921New York Rangers2Columbus Blue Jackets3BWBoxScore
142939Columbus Blue Jackets5New York Rangers2AWBoxScore
143942Carolina Hurricanes1Columbus Blue Jackets5BWBoxScore
145965Columbus Blue Jackets3Chicago Blackhawks2AWBoxScore
147975Vegas Golden Knights6Columbus Blue Jackets5BLXXBoxScore
148983Columbus Blue Jackets6Pittsburgh Penguins2AWBoxScore
150995Edmonton Oilers3Columbus Blue Jackets4BWBoxScore
1521010Nashville Predators5Columbus Blue Jackets4BLBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
1551033Columbus Blue Jackets4Montreal Canadiens2AWBoxScore
1571047Ottawa Senators4Columbus Blue Jackets5BWBoxScore
1591066San Jose Sharks4Columbus Blue Jackets6BWBoxScore
1601076Winnipeg Jets2Columbus Blue Jackets4BWBoxScore
1621083Columbus Blue Jackets5Detroit Red Wings1AWBoxScore
1651111Columbus Blue Jackets5Colorado Avalanche3AWBoxScore
1661123Columbus Blue Jackets5Vegas Golden Knights3AWBoxScore
1691145Columbus Blue Jackets2Arizona Coyotes1AWBoxScore
1711154Columbus Blue Jackets3Pittsburgh Penguins1AWBoxScore
1731172Pittsburgh Penguins2Columbus Blue Jackets1BLXBoxScore
1751181Colorado Avalanche1Columbus Blue Jackets5BWBoxScore
1781203New York Islanders4Columbus Blue Jackets1BLBoxScore
1801222Philadelphia Flyers1Columbus Blue Jackets3BWBoxScore
1811230Columbus Blue Jackets6Carolina Hurricanes5AWXBoxScore
1831245Columbus Blue Jackets3Tampa Bay Lightning5ALBoxScore
1851256Columbus Blue Jackets4Florida Panthers5ALXBoxScore
1871278Columbus Blue Jackets3Nashville Predators5ALBoxScore
1901296Carolina Hurricanes3Columbus Blue Jackets4BWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005100300045001400
Ticket Price100603520200
Attendance210,818207,942123,000180,52749,799
Attendance PCT85.70%99.45%100.00%97.85%86.76%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 18831 - 94.16% 1,831,540$75,093,143$20000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
74,969,583$ 69,350,000$ 71,150,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
361,198$ 69,820,893$ 0$ 21 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 383,073$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 122,704,862$ 122,704,862$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
69,820,893$ 12,679,107$ 82,500,000$ 8,820,893$



Depth Chart

Left WingCenterRight Wing
Elias PetterssonAGE:24PO:85OV:0
Alex TuchAGE:27PO:71OV:0
David PastrnakAGE:27PO:69OV:0
J.T. CompherAGE:28PO:63OV:0
Roope HintzAGE:26PO:61OV:0
Phillip Di GiuseppeAGE:29PO:60OV:0
Matt NietoAGE:30PO:56OV:0
Chandler StephensonAGE:29PO:53OV:0
Michael PezzettaAGE:25PO:47OV:0
Andrew CoglianoAGE:36PO:39OV:0
Danick MartelAGE:28PO:36OV:0
Alex IafalloAGE:29PO:35OV:0
Drew StaffordAGE:37PO:11OV:0
Brandon PirriAGE:33PO:11OV:0
Tye McGinnAGE:33PO:11OV:0
Kirby DachAGE:22PO:89OV:0
Cole Sillinger (R)AGE:20PO:87OV:0
Elias PetterssonAGE:24PO:85OV:0
J.T. CompherAGE:28PO:63OV:0
Roope HintzAGE:26PO:61OV:0
Chandler StephensonAGE:29PO:53OV:0
Andrew CoglianoAGE:36PO:39OV:0
Alex IafalloAGE:29PO:35OV:0
Austin CzarnikAGE:30PO:34OV:0
Nathan GerbeAGE:36PO:11OV:0
Brandon PirriAGE:33PO:11OV:0
Paul CareyAGE:35PO:11OV:0
Kirby DachAGE:22PO:89OV:0
Vasily Podkolzin (R)AGE:22PO:86OV:0
Elias PetterssonAGE:24PO:85OV:0
Alex TuchAGE:27PO:71OV:0
David PastrnakAGE:27PO:69OV:0
J.T. CompherAGE:28PO:63OV:0
Matt NietoAGE:30PO:56OV:0
Andrew CoglianoAGE:36PO:39OV:0
Mark StoneAGE:31PO:38OV:0
Austin CzarnikAGE:30PO:34OV:0
Drew StaffordAGE:37PO:11OV:0
Brandon PirriAGE:33PO:11OV:0
Jordan SzwarzAGE:32PO:11OV:0

Defense #1Defense #2Goalie
Jake Walman (R)AGE:27PO:98OV:0
Moritz SeiderAGE:22PO:88OV:0
Jake Sanderson (R)AGE:21PO:88OV:0
Cale MakarAGE:24PO:86OV:0
Charlie McAvoyAGE:25PO:80OV:0
Dennis Cholowski (R)AGE:25PO:79OV:0
Gustav LindstromAGE:24PO:72OV:0
Jordan Spence (R)AGE:22PO:65OV:0
Andreas Englund (R)AGE:27PO:64OV:0
Alexander PetrovicAGE:31PO:59OV:0
Ryan SuterAGE:38PO:36OV:0
Ilya LyubushkinAGE:29PO:36OV:0
Brandon DavidsonAGE:32PO:30OV:0
Luke WitkowskiAGE:35PO:29OV:0
Chad RuhwedelAGE:33PO:26OV:0
Zach TrotmanAGE:33PO:11OV:0
Andrei VasilevskiyAGE:29PO:99OV:0
Scott WedgewoodAGE:31PO:99OV:0
Joonas KorpisaloAGE:29PO:99OV:0
Cale Morris (R)AGE:27PO:37OV:0

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
Alexander HoltzColumbus Blue Jackets00
Anton BurdasovColumbus Blue Jackets00
Charlie StramelColumbus Blue Jackets00
Chaz LuciusColumbus Blue Jackets00
Danila YurovColumbus Blue Jackets00
Dmitri SimashevColumbus Blue Jackets00
Dylan HollowayColumbus Blue Jackets00
Filip MesarColumbus Blue Jackets00
Jonathan LekkerimakiColumbus Blue Jackets00
Juraj SlafkovskyColumbus Blue Jackets00
Kari LehtonenColumbus Blue Jackets00
Liam OhgrenColumbus Blue Jackets00
Linus NassenColumbus Blue Jackets00
Mirco MuellerColumbus Blue Jackets00
Pavel MintyukovColumbus Blue Jackets00

Draft Picks

Year R1R2R3R4R5R6R7
21SJS CBJ
22CBJ CBJ CBJ CBJ
23CBJ CBJ CBJ CBJ CBJ CBJ CBJ
24CBJ CBJ CBJ CBJ CBJ CBJ CBJ
25CBJ CBJ CBJ CBJ CBJ CBJ CBJ
Conditional Draft PicksMTL - Y:21 - R:1 /




The STHS News Database File was not found or corrupted. Please create one from the League News Management or the STHS.




Columbus Blue Jackets Trade History

[2/19/2024 9:26:25 PM] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Tomas Hertl.
[2/19/2024 9:26:25 PM] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Jordan Spence, Y:21-RND:1-SJS.
[2/19/2024 8:55:52 PM] - TRADE : From Columbus Blue Jackets to Detroit Red Wings : Anthony Cirelli.
[2/19/2024 8:55:52 PM] - TRADE : From Detroit Red Wings to Columbus Blue Jackets : Tomas Hertl.
[1/29/2024 8:35:10 PM] - TRADE : From Columbus Blue Jackets to Edmonton Oilers : Jan Mysak (P).
[1/29/2024 8:35:10 PM] - TRADE : From Edmonton Oilers to Columbus Blue Jackets : Ilya Lyubushkin.
[1/28/2024 8:20:37 PM] - TRADE : From Edmonton Oilers to Columbus Blue Jackets : Jan Mysak (P).
[1/28/2024 8:20:37 PM] - TRADE : From Columbus Blue Jackets to Edmonton Oilers : Ilya Lyubushkin.
[1/28/2024 8:17:54 PM] - TRADE : From Columbus Blue Jackets to Edmonton Oilers : Jan Mysak (P).
[1/28/2024 8:17:54 PM] - TRADE : From Edmonton Oilers to Columbus Blue Jackets : Ilya Lyubushkin.
[12/13/2023 8:12:09 PM] - TRADE : From Columbus Blue Jackets to Minnesota Wild : Dylan Strome, Nikita Alexandrov, Elias Pettersson (P).
[12/13/2023 8:12:09 PM] - TRADE : From Minnesota Wild to Columbus Blue Jackets : J.T. Compher, Jonathan Lekkerimaki (P).
[11/24/2023 8:19:17 PM] - TRADE : From Columbus Blue Jackets to Minnesota Wild : Y:22-RND:5-CBJ, Y:22-RND:7-CBJ.
[11/24/2023 8:19:17 PM] - TRADE : From Minnesota Wild to Columbus Blue Jackets : Gustav Lindstrom, Alexander Petrovic.
[11/16/2023 8:41:47 PM] - TRADE : From Columbus Blue Jackets to Carolina Hurricanes : Y:22-RND:4-CBJ.
[11/16/2023 8:41:47 PM] - TRADE : From Carolina Hurricanes to Columbus Blue Jackets : Scott Wedgewood.
[11/5/2023 9:30:11 PM] - TRADE : From Columbus Blue Jackets to Colorado Avalanche : Calen Addison, Nicholas Robertson, Jordie Benn, Y:21-RND:2-BOS, Y:21-RND:5-CAR, Y:21-RND:7-CBJ.
[11/5/2023 9:30:11 PM] - TRADE : From Colorado Avalanche to Columbus Blue Jackets : Mark Stone, Jake Walman.
[11/5/2023 9:28:56 PM] - TRADE : From Columbus Blue Jackets to Seattle Kraken : Y:21-RND:7-LAK.
[11/5/2023 9:28:56 PM] - TRADE : From Seattle Kraken to Columbus Blue Jackets : Jordie Benn.
[10/4/2023 5:33:43 PM] - TRADE : From Columbus Blue Jackets to Boston Bruins : Christian Dvorak, Dante Fabbro.
[10/4/2023 5:33:43 PM] - TRADE : From Boston Bruins to Columbus Blue Jackets : Nicholas Robertson, Y:21-RND:2-BOS.
[10/3/2023 3:42:40 PM] - Joe Veleno has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:36 PM] - Michael Pezzetta has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:30 PM] - Jake Sanderson has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:25 PM] - Cale Morris has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:20 PM] - Vasili Podkolzin has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:15 PM] - Cole Sillinger has been deleted from Columbus Blue Jackets.
[10/1/2023 2:13:15 PM] - Joakim Nordstrom was released.
[10/1/2023 2:13:15 PM] - Emerson Etem was released.



[4/1/2024 6:50:08 PM] Auto Lines Farm Function has been run for Cleveland Monsters.
[4/1/2024 6:50:08 PM] Auto Roster Farm Only Function has been run for Columbus Blue Jackets.
[4/1/2024 6:49:48 PM] Chandler Stephenson from Columbus Blue Jackets is back from Bruised Right Foot Injury.
[4/1/2024 6:49:40 PM] Auto Lines Farm Function has been run for Cleveland Monsters.
[4/1/2024 6:49:39 PM] Auto Roster Farm Only Function has been run for Columbus Blue Jackets.
[3/31/2024 6:18:19 PM] Auto Lines Farm Function has been run for Cleveland Monsters.
[3/31/2024 6:18:19 PM] Auto Roster Farm Only Function has been run for Columbus Blue Jackets.
[3/31/2024 6:17:55 PM] Jordan Spence of Columbus Blue Jackets was sent down to farm.
[3/31/2024 6:17:55 PM] Gustav Lindstrom of Columbus Blue Jackets was sent down to farm.
[3/31/2024 6:17:55 PM] Moritz Seider of Columbus Blue Jackets was sent to pro.
[3/31/2024 6:17:55 PM] Austin Czarnik of Columbus Blue Jackets was sent down to farm.
[3/28/2024 7:05:31 PM] Game 1296 - Chandler Stephenson from Columbus Blue Jackets is injured (Bruised Right Foot) and is out for 1 week.
[3/28/2024 7:04:57 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:24.200.177.238 .
[3/28/2024 7:04:23 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:24.200.177.238 .
[3/28/2024 7:04:23 PM] Andreas Englund of Columbus Blue Jackets was sent down to farm.
[3/28/2024 7:04:23 PM] Chad Ruhwedel of Columbus Blue Jackets was sent down to farm.
[3/27/2024 7:01:32 PM] Maximum Pro Players Limit Reached for Columbus Blue Jackets!
[3/26/2024 6:05:46 PM] Maximum Pro Players Limit Reached for Columbus Blue Jackets!
[3/26/2024 6:05:07 PM] Ryan Suter from Columbus Blue Jackets is back from Bruised Right Foot Injury.
[3/25/2024 6:34:31 PM] Maximum Pro Players Limit Reached for Columbus Blue Jackets!
[3/25/2024 6:34:11 PM] Vasily Podkolzin of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Jordan Spence of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Cole Sillinger of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Gustav Lindstrom of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Moritz Seider of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:11 PM] Phillip Di Giuseppe of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:11 PM] Andreas Englund of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Austin Czarnik of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:11 PM] Farm Game #1094 - Danick Martel from Cleveland Monsters has scored a Hat Trick!
[3/25/2024 6:34:06 PM] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[3/25/2024 6:34:06 PM] Auto Roster Function has been run for Columbus Blue Jackets.
[3/25/2024 6:34:06 PM] Gustav Lindstrom of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Cole Sillinger of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Vasily Podkolzin of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Austin Czarnik of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Jordan Spence of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Andreas Englund of Columbus Blue Jackets was sent to farm.
[3/25/2024 6:34:06 PM] Phillip Di Giuseppe of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:06 PM] Moritz Seider of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:34:06 PM] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[3/25/2024 6:34:02 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[3/25/2024 6:33:49 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[3/25/2024 6:33:49 PM] Vasily Podkolzin of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:33:49 PM] Jordan Spence of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:33:49 PM] Cole Sillinger of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:33:49 PM] Gustav Lindstrom of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:33:49 PM] Moritz Seider of Columbus Blue Jackets was sent down to farm.
[3/25/2024 6:33:49 PM] Phillip Di Giuseppe of Columbus Blue Jackets was sent down to farm.
[3/25/2024 6:33:49 PM] Andreas Englund of Columbus Blue Jackets was sent to pro.
[3/25/2024 6:33:49 PM] Austin Czarnik of Columbus Blue Jackets was sent to pro.



Jake Sanderson is out for 2 weeks because of a Sprained Right Knee 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