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Columbus Blue Jackets
GP: 10 | W: 7 | L: 2 | OTL: 1 | P: 22
GF: 38 | GA: 23 | PP%: 39.47% | PK%: 90.00%
GM : Josh | Morale : 40 | Team Overall : 78
Next Games #3 vs Pittsburgh Penguins
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Pittsburgh Penguins
9-1-0, 25pts
Day 1
Columbus Blue Jackets
7-2-1, 22pts
Team Stats
N/AStreakN/A
5-0-0Home Record4-0-1
4-1-0Away Record3-2-0
0-0-0Last 10 Games0-0-0
3.90Goals Per Game3.80
2.40Goals Against Per Game3.80
18.37%Power Play Percentage39.47%
74.19%Penalty Kill Percentage90.00%
Columbus Blue Jackets
7-2-1, 22pts
Day 3
Pittsburgh Penguins
9-1-0, 25pts
Team Stats
N/AStreakN/A
4-0-1Home Record5-0-0
3-2-0Away Record4-1-0
0-0-0Last 10 Games0-0-0
3.80Goals Per Game3.90
2.30Goals Against Per Game3.90
39.47%Power Play Percentage18.37%
90.00%Penalty Kill Percentage74.19%
New Jersey Devils
5-4-1, 15pts
Day 6
Columbus Blue Jackets
7-2-1, 22pts
Team Stats
N/AStreakN/A
3-1-1Home Record4-0-1
2-3-0Away Record3-2-0
0-0-0Last 10 Games0-0-0
3.00Goals Per Game3.80
2.30Goals Against Per Game3.80
18.18%Power Play Percentage39.47%
81.63%Penalty Kill Percentage90.00%
Team Leaders
Anthony BeauvillierGoals
Anthony Beauvillier
6
Carter VerhaegheAssists
Carter Verhaeghe
10
Carter VerhaeghePoints
Carter Verhaeghe
13
Marcus FolignoPlus/Minus
Marcus Foligno
4
Mackenzie BlackwoodWins
Mackenzie Blackwood
7
Collin DeliaSave Percentage
Collin Delia
0.974

Team Stats
Goals For
38
3.80 GFG
Shots For
354
35.40 Avg
Power Play Percentage
39.5%
15 GF
Offensive Zone Start
40.3%
Goals Against
23
2.30 GAA
Shots Against
308
30.80 Avg
Penalty Kill Percentage
90.0%%
3 GA
Defensive Zone Start
37.4%
Team Info

General ManagerJosh
DivisionCentral Division
ConferenceWestern Conference
CaptainHampus Lindholm
Assistant #1Valeri Nichushkin
Assistant #2Zach Werenski


Arena Info

NameNationwide Arena
Capacity18,000
Attendance0
Season Tickets7,920


Roster Info

Pro Team21
Farm Team28
Contract Limit49 / 250
Prospects67


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses61,196,160$
Current Bank Account89,686,885$
Projected Bank Account26,712,645$


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.
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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
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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
1Vincent Trocheck0X100.008845919760969784998788778679730408103034,000,000$
2Carter Verhaeghe0X100.006744789070899083698790728477660407902819,500,000$
3Chris Tierney0X100.006142888975909080979090718077770407903037,000,000$
4Valeri Nichushkin (A)0X100.007445867685929388588090748479830407902944,200,000$
5John Tavares0X100.006748828179909788978784707781780407903323,800,000$
6Anthony Beauvillier0X100.008445819360908980747990708375730407802725,166,667$
7Marcus Foligno0X100.009370857885959682838380747980790407803213,000,000$
8Jeff Skinner0X100.008045838963928984748388737880660407803213,890,000$
9Zach Hyman0X100.007153827380919889608485708282810407803223,500,000$
10Ryan Strome0X100.006147778273919279888372707779660407503031,670,000$
11Jonathan Drouin0X100.005950878470838578728083697678680407502941,670,000$
12Max Pacioretty0X100.008350717677848775667979677284710407403521,500,000$
13Matt Dumba0X100.009147809074979880529074807578740408002943,250,000$
14Hampus Lindholm (C)0X100.0062499485889397805084718271798404079N03033,500,000$
15Zach Werenski (A)0X100.005849919090969980508972807272820407902633,000,000$
16J.J. Moser (R)0X100.00634289947585938050887079747678040780241600,000$
17Connor Murphy0X100.008052897996889173517762816679790407703113,250,000$
18Riley Stillman0X100.008952878385878774508566756772780407702631,450,000$
Scratches
1Ross Colton0X100.00894778797880887179707673737572040730272950,000$
Farm Team
1Mark Arcobello0X100.00843682864981817484787060758578040710351750,000$
2Chris Wagner0X100.00944467766580757368747661768174040710332500,000$
3Fabian Zetterlund (R)0X100.00745581647590987060707463707381040700243600,000$
4Pavel Dorofeyev (R)0X100.005342797975788670696973747370630407002331,000,000$
5Sammy Blais0X100.00985976728081806657696768687773040690281690,000$
6Eric Robinson0X100.00794979717678806267636770667871040680294600,000$
7Sean Kuraly0X100.00845069637978856580706565647972040680312625,000$
8Trevor Moore0X100.00754680776478786564666869677875040680294600,000$
9Brett Leason0X100.007347806290798064646565706375830406802531,000,000$
10Brock McGinn0X100.00824278765177776466666669677977040670303665,000$
11Matthew Peca0X100.00594378815077796681706663697962040670312600,000$
12Chris Kreider0X100.00855270568379806370666565618181040660332600,000$
13Jared Spurgeon0X100.00553090835887897150756374698374040720341750,000$
14Johnathan Kovacevic0X100.007652787084829062506964666075740407002611,000,000$
15Dan Renouf0X100.00847479719072716450626167597768040690303600,000$
16Calle Rosen0X100.00534181797470786550666168617975040680302600,000$
17Jaycob Megna0X100.00615372629973776350666168567984040680312600,000$
18Jon Merrill0X100.00594775678377816750696169598075040680322600,000$
19Mackenzie MacEachern0X100.00854668727577766463676671667970040680303665,000$
20Cole Bardreau0X100.00754070756168676265646370657758040650303665,000$
21Filip Zadina (R)0X100.005842797375808164556566576773650406502431,750,000$
22Sam Carrick0X100.007964766464677060676161656179710406303211,000,000$
23Nick Seeler0X100.00555265716571756250646170587969040660312625,000$
24Mikko Lehtonen0X100.00654483727669716150655966587773040660303600,000$
TEAM AVERAGE100.0074488077758385726575727070787404072
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 Blackwood0100.006985908891929393939190766704085N02722,760,000$
2Collin Delia0100.00777171827979808079798077650407603031,071,427$
Scratches
Farm Team
1Matt O'Connor0100.0077646490777879797878798065040750322600,000$
2Jonas Johansson0100.00697077887676787977777677610407402811,330,000$
3Jeremy Smith0100.0078636478757475757674726465040710352500,000$
4Dustin Tokarski0100.0077515178727475737374728366040700342500,000$
TEAM AVERAGE100.007567708478798080797978766504075
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
1Carter VerhaegheColumbus Blue JacketsLW103101311001112329229.38%517817.84167529000011037.50%1694001.4601000012
2Chris TierneyColumbus Blue JacketsC1031013111511183611208.33%419119.203691028000081058.33%21686001.3500001101
3Anthony BeauvillierColumbus Blue JacketsRW10641018012733112018.18%218118.10325628000003133.33%6101001.1001000100
4John TavaresColumbus Blue JacketsC1046103408103081013.33%113113.1500000000000055.45%10130001.5200000120
5Jeff SkinnerColumbus Blue JacketsLW104590601373481611.76%219019.071341190002190050.00%482010.9400000111
6Vincent TrocheckColumbus Blue JacketsC10448175241939112110.26%319719.712243190001260055.16%22376100.8101010012
7Valeri NichushkinColumbus Blue JacketsRW1053819514132481120.83%218318.342135190000181042.11%1935000.8711010100
8Matt DumbaColumbus Blue JacketsD101560191524911469.09%824624.63123129000228000%064000.4900012000
9Zach WerenskiColumbus Blue JacketsD1015647551619785.26%1423423.43112119000120010%069000.5100001001
10Hampus LindholmColumbus Blue JacketsD10325-1175513193415.79%824524.55101128000130110%056000.4100001010
11Zach HymanColumbus Blue JacketsLW102243207101651312.50%412912.9700000000000060.00%522000.6200000000
12Connor MurphyColumbus Blue JacketsD100333558162660%1022222.2901102000021000%028000.2700001000
13Marcus FolignoColumbus Blue JacketsRW1011246024913587.69%414314.38000010001100057.14%723000.2800000001
14J.J. MoserColumbus Blue JacketsD1002210051111120%513913.9401101900000000%024000.2900000000
15Ryan StromeColumbus Blue JacketsC10011-17534113110%3787.8400001000070056.67%3030000.2600001000
16Jonathan DrouinColumbus Blue JacketsRW10101-1552615256.67%1676.760000000000000%052000.3000100000
17Riley StillmanColumbus Blue JacketsD100111556104220%311611.690000000002000%004000.1700001000
18Max PaciorettyColumbus Blue JacketsLW10000-1751455250%0797.99000010000900100.00%11000000010000
Team Total or Average1803864102201356519619535410619010.73%79295816.441525403325000082067355.41%6288266110.6914148568
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
1Mackenzie BlackwoodColumbus Blue Jackets107210.9222.405250021269127100.5004100210
2Collin DeliaColumbus Blue Jackets20000.9740.767900139170000010000
Team Total or Average127210.9292.1860500223081441041010210


Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Anthony Beauvillier (1 Way Contract)Columbus Blue JacketsRW271997-06-08CANNo181 Lbs5 ft11NoNoTrade2024-05-31NoNo2FalseFalsePro & Farm5,166,667$4,567,219$0$0$No5,166,667$--------5,166,667$--------No--------Link / NHL Link
Carter Verhaeghe (1 Way Contract)Columbus Blue JacketsLW281995-08-14CANNo181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm9,500,000$8,397,790$0$0$No---------------------------Link / NHL Link
Chris Tierney (1 Way Contract)Columbus Blue JacketsC301994-07-01CANNo191 Lbs6 ft1NoNoFree AgentNoNo32024-10-01FalseFalsePro & Farm7,000,000$6,187,845$0$0$No7,000,000$7,000,000$-------7,000,000$7,000,000$-------NoNo-------Link / NHL Link
Collin DeliaColumbus Blue JacketsG301994-06-20USANo208 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,071,427$947,118$0$0$No1,071,427$1,071,427$-------1,071,427$1,071,427$-------NoNo-------NHL Link
Connor Murphy (1 Way Contract)Columbus Blue JacketsD311993-03-26USANo212 Lbs6 ft4NoNoTrade2024-03-15NoNo1FalseFalsePro & Farm3,250,000$2,872,928$0$0$No---------------------------Link / NHL Link
Hampus Lindholm (1 Way Contract)Columbus Blue JacketsD301994-01-20SWENo216 Lbs6 ft2YesNoN/ANoNo3FalseFalsePro Only3,500,000$3,093,923$0$0$No3,500,000$3,500,000$-------3,500,000$3,500,000$-------YesYes-------Link / NHL Link
J.J. MoserColumbus Blue JacketsD242000-06-06CHEYes187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm600,000$530,387$0$0$No---------------------------Link / NHL Link
Jeff Skinner (1 Way Contract)Columbus Blue JacketsLW321992-05-16CANNo196 Lbs5 ft11NoNoTrade2024-08-23NoNo1FalseFalsePro & Farm3,890,000$3,438,674$0$0$No---------------------------Link / NHL Link
John Tavares (1 Way Contract)Columbus Blue JacketsC331990-09-20CANNo212 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm3,800,000$3,359,116$0$0$No3,800,000$--------3,800,000$--------No--------Link / NHL Link
Jonathan DrouinColumbus Blue JacketsRW291995-03-28CANNo203 Lbs6 ft0NoNoFree AgentNoNo42024-10-04FalseFalsePro & Farm1,670,000$1,476,243$0$0$No1,670,000$1,670,000$1,670,000$------1,670,000$1,670,000$1,670,000$------NoNoNo------Link / NHL Link
Mackenzie Blackwood (1 Way Contract)Columbus Blue JacketsG271996-12-09CANNo225 Lbs6 ft4YesNoN/ANoNo2FalseFalsePro Only2,760,000$2,439,779$0$0$No2,760,000$--------2,760,000$--------Yes--------Link / NHL Link
Marcus Foligno (1 Way Contract)Columbus Blue JacketsRW321991-08-10USANo227 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$2,651,934$0$0$No---------------------------Link / NHL Link
Matt Dumba (1 Way Contract)Columbus Blue JacketsD291994-07-25CANNo181 Lbs6 ft0NoNoFree AgentNoNo42024-09-23FalseFalsePro & Farm3,250,000$2,872,928$0$0$No3,250,000$3,250,000$3,250,000$------3,250,000$3,250,000$3,250,000$------NoNoNo------Link / NHL Link
Max Pacioretty (1 Way Contract)Columbus Blue JacketsLW351988-11-20USANo216 Lbs6 ft2NoNoFree Agent2024-05-10NoNo22024-09-27FalseFalsePro & Farm1,500,000$1,325,967$0$0$No1,500,000$--------1,500,000$--------No--------Link / NHL Link
Riley StillmanColumbus Blue JacketsD261998-03-09CANNo196 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,450,000$1,281,768$0$0$No1,450,000$1,450,000$-------1,450,000$1,450,000$-------NoNo-------Link / NHL Link
Ross ColtonColumbus Blue JacketsC271996-09-11USANo194 Lbs6 ft0NoNoTrade2024-01-31NoNo2FalseFalsePro & Farm950,000$839,779$0$0$No950,000$--------950,000$--------No--------Link / NHL Link
Ryan StromeColumbus Blue JacketsC301993-07-11CANNo192 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,670,000$1,476,243$0$0$No1,670,000$1,670,000$-------1,670,000$1,670,000$-------NoNo-------Link / NHL Link
Valeri Nichushkin (1 Way Contract)Columbus Blue JacketsRW291995-03-04RUSNo209 Lbs6 ft4NoNoFree Agent2024-06-18NoNo42024-09-27FalseFalsePro & Farm4,200,000$3,712,707$0$0$No4,200,000$4,200,000$4,200,000$------4,200,000$4,200,000$4,200,000$------NoNoNo------Link / NHL Link
Vincent Trocheck (1 Way Contract)Columbus Blue JacketsC301993-07-11USANo183 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm4,000,000$3,535,912$0$0$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Link / NHL Link
Zach Hyman (1 Way Contract)Columbus Blue JacketsLW321992-06-09CANNo212 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm3,500,000$3,093,923$0$0$No3,500,000$--------3,500,000$--------No--------Link / NHL Link
Zach Werenski (1 Way Contract)Columbus Blue JacketsD261997-07-19USANo214 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm3,000,000$2,651,934$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2129.38202 Lbs6 ft12.383,272,766$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
68,728,094$48,488,094$30,811,427$9,120,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carter VerhaegheVincent TrocheckValeri Nichushkin33023
2Jeff SkinnerChris TierneyAnthony Beauvillier33023
3Zach HymanJohn TavaresMarcus Foligno29023
4Max PaciorettyRyan StromeJonathan Drouin5023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaHampus Lindholm40032
2Connor MurphyZach Werenski40032
3J.J. MoserRiley Stillman20032
4Matt DumbaJ.J. Moser0032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carter VerhaegheChris TierneyAnthony Beauvillier60005
2Jeff SkinnerVincent TrocheckValeri Nichushkin40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaHampus Lindholm60014
2J.J. MoserZach Werenski40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Vincent TrocheckJeff Skinner60050
2Chris TierneyMarcus Foligno40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Hampus LindholmMatt Dumba60050
2Connor MurphyZach Werenski40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Vincent Trocheck60050Matt DumbaHampus Lindholm60050
2Chris Tierney40050Connor MurphyZach Werenski40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Chris TierneyCarter Verhaeghe60032
2Vincent TrocheckValeri Nichushkin40032
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaHampus Lindholm60032
2Zach WerenskiConnor Murphy40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Carter VerhaegheChris TierneyAnthony BeauvillierMatt DumbaZach Werenski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Marcus FolignoVincent TrocheckValeri NichushkinHampus LindholmConnor Murphy
Extra Forwards
Normal PowerPlayPenalty Kill
Chris Tierney, Vincent Trocheck, Carter VerhaegheVincent Trocheck, Chris TierneyValeri Nichushkin
Extra Defensemen
Normal PowerPlayPenalty Kill
Matt Dumba, Hampus Lindholm, Connor MurphyMatt DumbaConnor Murphy, Hampus Lindholm
Penalty Shots
Vincent Trocheck, Carter Verhaeghe, Valeri Nichushkin, Anthony Beauvillier, Zach Hyman
Goalie
#1 : Mackenzie Blackwood, #2 : Collin Delia
Custom OT Lines Forwards
Chris Tierney, Vincent Trocheck, Carter Verhaeghe, Valeri Nichushkin, Anthony Beauvillier, Jeff Skinner, Jeff Skinner, John Tavares, Zach Hyman, Marcus Foligno, Max Pacioretty
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 Blackhawks22000000936110000006241100000031261.00091625002610722530170641925449333.33%50100.00%015625261.90%11923450.85%7314052.14%472940143217
2Detroit Red Wings220000001156110000005321100000062461.0001119300042507124242306215163410550.00%30100.00%015625261.90%11923450.85%7314052.14%473041163015
3Hamilton Mustangs2010000158-31000000145-11010000013-210.1675813001311672221244571818383266.67%9277.78%015625261.90%11923450.85%7314052.14%452643173617
4Minnesota North Stars2110000045-1110000003121010000014-330.500471100013059191822064164956600.00%7185.71%015625261.90%11923450.85%7314052.14%442641183316
5St Louis Blues22000000927110000002111100000071661.000914230024308533292306111272410550.00%60100.00%015625261.90%11923450.85%7314052.14%493339153015
Total10720000138231554000001201285320000018117220.733386410200916131354123122109430879135196381539.47%30390.00%015625261.90%11923450.85%7314052.14%2341462078316383
_Since Last GM Reset10720000138231554000001201285320000018117220.733386410200916131354123122109430879135196381539.47%30390.00%015625261.90%11923450.85%7314052.14%2341462078316383
_Vs Conference10720000138231554000001201285320000018117220.733386410200916131354123122109430879135196381539.47%30390.00%015625261.90%11923450.85%7314052.14%2341462078316383
_Vs Division10720000138231554000001201285320000018117220.733386410200916131354123122109430879135196381539.47%30390.00%015625261.90%11923450.85%7314052.14%2341462078316383

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1022N/A38641023543087913519600
All Games
GPWLOTWOTL SOWSOLGFGA
107200013823
Home Games
GPWLOTWOTL SOWSOLGFGA
54000012012
Visitor Games
GPWLOTWOTL SOWSOLGFGA
53200001811
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
381539.47%30390.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1231221094916131
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
15625261.90%11923450.85%7314052.14%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2341462078316383


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
13Pittsburgh Penguins-Columbus Blue Jackets-
313Columbus Blue Jackets-Pittsburgh Penguins-
632New Jersey Devils-Columbus Blue Jackets-
740Columbus Blue Jackets-New York Islanders-
1159Edmonton Oilers-Columbus Blue Jackets-
1370Columbus Blue Jackets-California Golden Seals-
1573Columbus Blue Jackets-Seattle Kraken-
1785Los Angeles Kings-Columbus Blue Jackets-
1997Minnesota North Stars-Columbus Blue Jackets-
21113Columbus Blue Jackets-Chicago Blackhawks-
23122Hamilton Mustangs-Columbus Blue Jackets-
25138Columbus Blue Jackets-Detroit Red Wings-
27150Columbus Blue Jackets-St Louis Blues-
29161Chicago Blackhawks-Columbus Blue Jackets-
31174St Louis Blues-Columbus Blue Jackets-
33185Columbus Blue Jackets-Hamilton Mustangs-
35194California Golden Seals-Columbus Blue Jackets-
37208Columbus Blue Jackets-Vegas Golden Knights-
39222Philadelphia Flyers-Columbus Blue Jackets-
41232Columbus Blue Jackets-Florida Panthers-
44244New York Rangers-Columbus Blue Jackets-
49263Columbus Blue Jackets-Montreal Canadiens-
51272Toronto Maple Leafs-Columbus Blue Jackets-
55286Columbus Blue Jackets-Philadelphia Flyers-
58297Detroit Red Wings-Columbus Blue Jackets-
59301Columbus Blue Jackets-Minnesota North Stars-
62320Columbus Blue Jackets-Chicago Blackhawks-
64329Columbus Blue Jackets-Hamilton Mustangs-
66339St Louis Blues-Columbus Blue Jackets-
68350Chicago Blackhawks-Columbus Blue Jackets-
71369Columbus Blue Jackets-St Louis Blues-
72377Hamilton Mustangs-Columbus Blue Jackets-
74389Columbus Blue Jackets-New Jersey Devils-
76397Tampa Bay Lightning-Columbus Blue Jackets-
78412Columbus Blue Jackets-New York Rangers-
81426Florida Panthers-Columbus Blue Jackets-
83438New York Islanders-Columbus Blue Jackets-
85445Columbus Blue Jackets-Boston Bruins-
88466Quebec Nordiques-Columbus Blue Jackets-
91478Minnesota North Stars-Columbus Blue Jackets-
94490Columbus Blue Jackets-Minnesota North Stars-
97499Carolina Hurricanes-Columbus Blue Jackets-
99514Columbus Blue Jackets-Tampa Bay Lightning-
101527Columbus Blue Jackets-Carolina Hurricanes-
103534Boston Bruins-Columbus Blue Jackets-
105543Columbus Blue Jackets-Quebec Nordiques-
108558Montreal Canadiens-Columbus Blue Jackets-
112572Colorado Avalanche-Columbus Blue Jackets-
113580Columbus Blue Jackets-Colorado Avalanche-
116595Seattle Kraken-Columbus Blue Jackets-
119612Vegas Golden Knights-Columbus Blue Jackets-
121620Columbus Blue Jackets-Los Angeles Kings-
124631Columbus Blue Jackets-Edmonton Oilers-
126640Columbus Blue Jackets-Toronto Maple Leafs-
129657Columbus Blue Jackets-Detroit Red Wings-
131669Detroit Red Wings-Columbus Blue Jackets-
133681St Louis Blues-Columbus Blue Jackets-
135693Columbus Blue Jackets-St Louis Blues-
138706Columbus Blue Jackets-Vegas Golden Knights-
141718Edmonton Oilers-Columbus Blue Jackets-
143729Columbus Blue Jackets-Colorado Avalanche-
145741California Golden Seals-Columbus Blue Jackets-
147753Columbus Blue Jackets-Los Angeles Kings-
149766Los Angeles Kings-Columbus Blue Jackets-
151771Columbus Blue Jackets-Seattle Kraken-
153783Seattle Kraken-Columbus Blue Jackets-
155796Columbus Blue Jackets-California Golden Seals-
157808Colorado Avalanche-Columbus Blue Jackets-
159819Columbus Blue Jackets-Edmonton Oilers-
162831Vegas Golden Knights-Columbus Blue Jackets-
167854Chicago Blackhawks-Columbus Blue Jackets-
168860Columbus Blue Jackets-Chicago Blackhawks-
171878Columbus Blue Jackets-Hamilton Mustangs-
172884Hamilton Mustangs-Columbus Blue Jackets-
176904Minnesota North Stars-Columbus Blue Jackets-
177907Columbus Blue Jackets-Minnesota North Stars-
179918Columbus Blue Jackets-Detroit Red Wings-
180930Detroit Red Wings-Columbus Blue Jackets-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price102583628194
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
34 0 - 0.00% 0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
0$ 69,228,094$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 160 382,476$ 61,196,160$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
62,974,240$ 89,686,885$ 26,712,645$



Depth Chart

Left WingCenterRight Wing
Carter VerhaegheAGE:28PO:0OV:79
Jeff SkinnerAGE:32PO:0OV:78
Zach HymanAGE:32PO:0OV:78
Max PaciorettyAGE:35PO:0OV:74
Chris WagnerAGE:33PO:0OV:71
Fabian Zetterlund (R)AGE:24PO:0OV:70
Eric RobinsonAGE:29PO:0OV:68
Brock McGinnAGE:30PO:0OV:67
Cole BardreauAGE:30PO:0OV:65
Vincent TrocheckAGE:30PO:0OV:81
Chris TierneyAGE:30PO:0OV:79
John TavaresAGE:33PO:0OV:79
Ryan StromeAGE:30PO:0OV:75
Ross ColtonAGE:27PO:0OV:73
Mark ArcobelloAGE:35PO:0OV:71
Sean KuralyAGE:31PO:0OV:68
Matthew PecaAGE:31PO:0OV:67
Chris KreiderAGE:33PO:0OV:66
Sam CarrickAGE:32PO:0OV:63
Valeri NichushkinAGE:29PO:0OV:79
Anthony BeauvillierAGE:27PO:0OV:78
Marcus FolignoAGE:32PO:0OV:78
Jonathan DrouinAGE:29PO:0OV:75
Pavel Dorofeyev (R)AGE:23PO:0OV:70
Sammy BlaisAGE:28PO:0OV:69
Mackenzie MacEachernAGE:30PO:0OV:68
Trevor MooreAGE:29PO:0OV:68
Brett LeasonAGE:25PO:0OV:68
Filip Zadina (R)AGE:24PO:0OV:65

Defense #1Defense #2Goalie
Matt DumbaAGE:29PO:0OV:80
Hampus LindholmAGE:30PO:0OV:79
Zach WerenskiAGE:26PO:0OV:79
J.J. Moser (R)AGE:24PO:0OV:78
Connor MurphyAGE:31PO:0OV:77
Riley StillmanAGE:26PO:0OV:77
Jared SpurgeonAGE:34PO:0OV:72
Johnathan KovacevicAGE:26PO:0OV:70
Dan RenoufAGE:30PO:0OV:69
Calle RosenAGE:30PO:0OV:68
Jaycob MegnaAGE:31PO:0OV:68
Jon MerrillAGE:32PO:0OV:68
Nick SeelerAGE:31PO:0OV:66
Mikko LehtonenAGE:30PO:0OV:66
Mackenzie BlackwoodAGE:27PO:0OV:85
Collin DeliaAGE:30PO:0OV:76
Matt O'ConnorAGE:32PO:0OV:75
Jonas JohanssonAGE:28PO:0OV:74
Jeremy SmithAGE:35PO:0OV:71
Dustin TokarskiAGE:34PO:0OV:70

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
1x RFA TagColumbus Blue Jackets00
20x POS Changes NSHL24Columbus Blue Jackets00
23x TC PTSColumbus Blue Jackets00
Adam BeckmanColumbus Blue Jackets1957
Aidan DudasColumbus Blue Jackets18109
Alex CottonColumbus Blue Jackets20130
Alexander CampbellColumbus Blue Jackets1976
Alexander KhovanovColumbus Blue Jackets18108
Alexander PashinColumbus Blue Jackets20120
Alexei LipanovColumbus Blue Jackets17104
Blake McLaughlinColumbus Blue Jackets18112
Brodie ZiemerColumbus Blue Jackets2470Link
Bryce BrodzinskiColumbus Blue Jackets19130
Bulat ShafigullinColumbus Blue Jackets18115
Cameron AllenColumbus Blue Jackets23150Link
Cayden LindstromColumbus Blue Jackets243Link
Colby AmbrosioColumbus Blue Jackets20136
Connor McClennonColumbus Blue Jackets2097
David JiricekColumbus Blue Jackets226Link
Denver BarkeyColumbus Blue Jackets2391Link
Emil HeinemanColumbus Blue Jackets2094
Ethan KeppenColumbus Blue Jackets19120
Evan BarrattColumbus Blue Jackets17111
Filip HallanderColumbus Blue Jackets1874
Francesco PinelliColumbus Blue Jackets2129Link
Frank NazarColumbus Blue Jackets229Link
Gracyn SawchynColumbus Blue Jackets2378Link
Guillaume RichardColumbus Blue Jackets21147Link
Ian MooreColumbus Blue Jackets2083
Ilya NikolaevColumbus Blue Jackets1955
Jack ThompsonColumbus Blue Jackets20133
Jackson HallumColumbus Blue Jackets20117
Jacob PerreaultColumbus Blue Jackets2025
Jakob PelletierColumbus Blue Jackets1926
Joni IkonenColumbus Blue Jackets1782
Jonny TychonickColumbus Blue Jackets1867
Matej PekarColumbus Blue Jackets18116
Matteo CostantiniColumbus Blue Jackets20102
Michael BenningColumbus Blue Jackets2040
Michael Brandsegg-NygardColumbus Blue Jackets2416Link
Michael TeplyColumbus Blue Jackets1985
Niklas NordgrenColumbus Blue Jackets1878
Nikola PasicColumbus Blue Jackets19116
Olen ZellwegerColumbus Blue Jackets2135Link
Ondrej BecherColumbus Blue Jackets2474Link
Oscar Fisker-MolgaardColumbus Blue Jackets2364Link
Patrik PuistolaColumbus Blue Jackets1945
Pavel NovakColumbus Blue Jackets2084
Rhett PitlickColumbus Blue Jackets1988
Robert MastrosimoneColumbus Blue Jackets1967
Ruslan IskhakovColumbus Blue Jackets1858
Sam ColangeloColumbus Blue Jackets2047
Sean TschigerlColumbus Blue Jackets2197Link
Slava DeminColumbus Blue Jackets18114
Tanner HoweColumbus Blue Jackets2456Link
Timur MukhanovColumbus Blue Jackets23145Link
Tristan BrozColumbus Blue Jackets2153Link
Tuukka TieksolaColumbus Blue Jackets1978
Tyler TullioColumbus Blue Jackets20127
Vadim ZherenkoColumbus Blue Jackets23140Link
Valentin NussbaumerColumbus Blue Jackets19124
Vasily PodkolzinColumbus Blue Jackets1914
Will CuylleColumbus Blue Jackets2075Link
William VilleneuveColumbus Blue Jackets2072
Yegor SerdyukColumbus Blue Jackets19119
Yegor SpiridonovColumbus Blue Jackets1997

Draft Picks

Year R1R2R3R4R5R6R7
25
26
27
28
29
Conditional Draft Picks




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Columbus Blue Jackets Trade History

[2024-12-15 12:51:19 PM] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : $500,000 (Money).



No Injury or Suspension.


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