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Columbus Blue Jackets
GP: 78 | W: 43 | L: 21 | OTL: 14 | P: 136
GF: 219 | GA: 196 | PP%: 16.72% | PK%: 80.16%
GM : Josh | Morale : 40 | Team Overall : 77
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Game Center
Columbus Blue Jackets
43-21-14, 136pts
4
FINAL
1 Minnesota North Stars
30-38-10, 92pts
Team Stats
W2StreakSOL1
22-14-3Home Record10-24-5
21-7-11Away Record20-14-5
4-3-3Last 10 Games3-5-2
2.81Goals Per Game2.50
2.51Goals Against Per Game3.13
16.72%Power Play Percentage17.41%
80.16%Penalty Kill Percentage78.95%
Minnesota North Stars
30-38-10, 92pts
2
FINAL
3 Columbus Blue Jackets
43-21-14, 136pts
Team Stats
SOL1StreakW2
10-24-5Home Record22-14-3
20-14-5Away Record21-7-11
3-5-2Last 10 Games4-3-3
2.50Goals Per Game2.81
3.13Goals Against Per Game2.51
17.41%Power Play Percentage16.72%
78.95%Penalty Kill Percentage80.16%
Team Leaders
Vincent TrocheckGoals
Vincent Trocheck
38
Vincent TrocheckAssists
Vincent Trocheck
44
Vincent TrocheckPoints
Vincent Trocheck
82
Vincent TrocheckPlus/Minus
Vincent Trocheck
21
Mackenzie BlackwoodWins
Mackenzie Blackwood
40
Collin DeliaSave Percentage
Collin Delia
0.936

Team Stats
Goals For
219
2.81 GFG
Shots For
2491
31.94 Avg
Power Play Percentage
16.7%
49 GF
Offensive Zone Start
39.5%
Goals Against
196
2.51 GAA
Shots Against
2334
29.92 Avg
Penalty Kill Percentage
80.2%%
49 GA
Defensive Zone Start
38.6%
Team Info

General ManagerJosh
DivisionCentral Division
ConferenceWestern Conference
CaptainHampus Lindholm
Assistant #1Vladimir Tarasenko
Assistant #2Zach Hyman


Arena Info

NameNationwide Arena
Capacity18,000
Attendance15,831
Season Tickets7,200


Roster Info

Pro Team24
Farm Team26
Contract Limit50 / 250
Prospects67


Finance

Year to Date Revenue45,875,002$
Year To Date Expenses67,911,761$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account74,337,220$
Projected Bank Account74,337,220$


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
1Vincent Trocheck0X100.008645919760949582988787778477710408102944,000,000$
2Marcus Foligno0X100.009270878084979884858582738179800408003123,000,000$
3John Tavares0X100.006647848378929690998986697980800408003233,800,000$
4Zach Hyman (A)0X100.007052847580939991598687698482830407903133,500,000$
5Carter Verhaeghe0X100.006542759070878883698590708475650407802729,500,000$
6Anthony Beauvillier0X100.008243819360898980747690708373730407702635,166,667$
7Vladimir Tarasenko (A)0X100.006152848382888682678085747879840407703114,900,000$
8Johnny Gaudreau0X100.006830879945919177708784738277680407702944,000,000$
9Max Pacioretty0X100.008550747977879078668282677584710407603411,833,334$
10Ryan Strome0X100.006147778273919279888372707777650407402941,670,000$
11Jonathan Drouin0X100.005950878470838578708083697676680407402811,650,000$
12Ross Colton0X100.00894578797880887179707673737372040730263950,000$
13Matt Dumba0X100.008947779072959680528974807576730408002819,000,000$
14Zach Werenski0X100.005847899090949780508972807270800407902543,000,000$
15Connor Murphy0X100.008254918195909075537964806878780407803023,250,000$
16Hampus Lindholm (C)0X100.0062499485869395805084718071778404078N02943,500,000$
17Riley Stillman0X100.008952878383878774508566706770760407502541,450,000$
18John Ramage0X100.005146866989777665506661856080800407103213,830,000$
Scratches
1Valeri Nichushkin0X100.007649806990797769667168736976850407102821,300,000$
2Sammy Blais0X100.00995777738179786755696868697572040690272690,000$
3Fredrik Claesson0X100.00844281779076787350756671667869040730301500,000$
Farm Team
1Mark Arcobello0X100.00833583854880807383776959748477040710342750,000$
2Chris Wagner0X98.00934366776879747271737560758077040700321650,000$
3Josh Bailey0X100.00734577777181786965697562698276040700332500,000$
4Linus Omark0X100.005640868354808072677571567388750406903611,634,000$
5Oscar Moller0X100.006344798161807670837171617084690406903411,140,000$
6Lars Eller0X100.007746767078797870777072636984730406903411,614,750$
7Eric Robinson0X100.008047797277797863686468716776720406802811,330,000$
8Michael Sgarbossa0X100.00753775816577766784706862717863040680301500,000$
9Mackenzie MacEachern0X100.00834469737375746561686769677770040680294665,000$
10Trevor Moore0X100.007644817862767665646768696876760406802811,100,000$
11Brock McGinn0X100.00834079774975756567676669687778040670294665,000$
12Cole Bardreau0X100.00754070756168676265646370657758040650294665,000$
13J.J. Moser (R)0X100.00603986937282907750846773717675040750232600,000$
14Jared Spurgeon0X100.00543089825786887050746473698273040710332750,000$
15Erik Johnson0X100.005651866097858571507463725986880407103511,200,000$
16Jon Merrill0X100.00624678708280807050726468627978040700311930,000$
17Martin Marincin0X100.006354706694818470507465686379690407003111,030,000$
18Bogdan Kiselevich0X100.00822181687172726850736064617267040670331500,000$
19Sean Kuraly0X100.00875068668279846683696664667874040680303625,000$
20Stefan Noesen0X100.00724571698672686057616566637878040660301500,000$
21Andy Andreoff0X100.00864545637468686061626164618080040640321650,000$
22Sam Carrick0X100.007964766464677060676161656179710406303121,000,000$
23Nick Seeler0X77.48585564746474746450676069607872040670303625,000$
TEAM AVERAGE100.0075488383788889786781777375777504076
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 Blackwood0100.006785908688909091918887736504083N02632,760,000$
2Jonathan Quick0100.00688283807983848279838390740407803711,000,100$
Scratches
1Collin Delia0100.00777171827979808079798077650407602941,071,427$
Farm Team
1Aaron Dell098.00777274788081828278818184670407603411,329,000$
2Jonas Johansson0100.00706875887474767775757475590407302721,330,000$
3Oscar Dansk0100.00685656847169707270697058590406702911,000,000$
TEAM AVERAGE100.007179818382848584838383806804079
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
1Vincent TrocheckColumbus Blue JacketsC783844822131151601813039016512.54%37169621.75917263925511262073354.30%20835534210.971110128611
2Vladimir TarasenkoColumbus Blue JacketsLW772732591341067922366914111.44%23125216.26101020272050001405044.74%386615000.9449101523
3Zach HymanColumbus Blue JacketsLW7828315921742092912287715312.28%33146018.727815272340112237437.35%833319010.8148103377
4John TavaresColumbus Blue JacketsC78273259184210941562347912711.54%27145718.69369192241121537054.01%14983125100.8101200525
5Carter VerhaegheColumbus Blue JacketsLW78283058208951131082137112513.15%23145218.6210919302521012384637.93%875122000.8028010713
6Johnny GaudreauColumbus Blue JacketsRW682134551812061881955910610.77%19122117.9681018242020114234044.71%855120000.9003000237
7Anthony BeauvillierColumbus Blue JacketsRW74212849-6621016094242681338.68%26137518.59710172618801191144347.23%2715616010.7134110543
8Marcus FolignoColumbus Blue JacketsRW78152843219955193116181531138.29%32157820.232681318811271923255.06%894445000.5414605245
9Matt DumbaColumbus Blue JacketsD7842630-3821023115412649653.17%91202525.96268182710001190100%04372000.3000110101
10Hampus LindholmColumbus Blue JacketsD78321241820471319834413.06%78174422.37167122150113186100%03371000.2800000010
11Zach WerenskiColumbus Blue JacketsD7861824-21554012710859375.56%97203726.1223572721015223210%04674000.2400100014
12Ryan StromeColumbus Blue JacketsC7891322-103410548213941966.47%1499212.730110610191242252.76%5253219000.4400002020
13Max PaciorettyColumbus Blue JacketsRW7713821773251316785365615.29%11100413.043143600001304158.06%31149000.4201014403
14Connor MurphyColumbus Blue JacketsD79116171729151211158532281.18%88164420.8112351340223166000%01555000.2100111001
15Jonathan DrouinColumbus Blue JacketsLW787815-73010294912035765.83%1580110.2700007000031176.19%21278000.3700110121
16Riley StillmanColumbus Blue JacketsD7001212111758452349150%4283711.9600001100001000%0920000.2900001001
17Ross ColtonColumbus Blue JacketsC78639-7175765247214612.77%126408.22000000000170042.72%20658000.2800010011
18Valeri NichushkinColumbus Blue JacketsLW50538380393048152810.42%84448.90000050000281038.71%3145000.3600000010
19John RamageColumbus Blue JacketsD4725792010743236118.70%5365013.8300001000089100%0228000.2200200020
20Fredrik ClaessonColumbus Blue JacketsD391123120362926653.85%3049212.6300003000020000%0419000.0800000000
21Sammy BlaisColumbus Blue JacketsRW12022-61001259270%11199.9300000000000012.50%804000.3400000000
22Mark ArcobelloCleveland Monsters (CBJ)C8011000457160%3607.5300000000000058.06%3120000.3300000000
Team Total or Average145926239665814779222018511867278791215809.40%7632498917.13659516025027446915541776502352.41%5087623588330.53154917819433956
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 Jackets754021130.9212.304491631722181958650.581317521364
2Jonathan QuickColumbus Blue Jackets196930.8813.7010700166555254310.600101825311
3Collin DeliaColumbus Blue Jackets53010.9362.24241009140650000367001
Team Total or Average994930170.9142.5558036424728761277964196941676


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
Anthony Beauvillier (1 Way Contract)Columbus Blue JacketsRW261997-06-08No180 Lbs5 ft11NoNoTrade2024-05-31NoNo3Pro & Farm5,166,667$0$0$No5,166,667$5,166,667$-------NoNo-------Link / NHL Link
Carter Verhaeghe (1 Way Contract)Columbus Blue JacketsLW271995-08-14No180 Lbs6 ft2NoNoN/ANoNo2Pro & Farm9,500,000$0$0$No9,500,000$--------No--------Link / NHL Link
Collin DeliaColumbus Blue JacketsG291994-06-20No208 Lbs6 ft2NoNoN/ANoNo4Pro & Farm1,071,427$0$0$No1,071,427$1,071,427$1,071,427$------NoNoNo------Link / NHL Link
Connor Murphy (1 Way Contract)Columbus Blue JacketsD301993-03-26No212 Lbs6 ft4NoNoTrade2024-03-15NoNo2Pro & Farm3,250,000$0$0$No3,250,000$--------No--------Link / NHL Link
Fredrik ClaessonColumbus Blue JacketsD301992-11-24No196 Lbs6 ft1NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Link / NHL Link
Hampus Lindholm (1 Way Contract)Columbus Blue JacketsD291994-01-20No215 Lbs6 ft4YesNoN/ANoNo4Pro Only3,500,000$0$0$No3,500,000$3,500,000$3,500,000$------YesYesYes------Link / NHL Link
John Ramage (1 Way Contract)Columbus Blue JacketsD321991-02-07No201 Lbs6 ft0NoNoN/ANoNo1Pro & Farm3,830,000$0$0$No------------------Link
John Tavares (1 Way Contract)Columbus Blue JacketsC321990-09-20No216 Lbs6 ft1NoNoN/ANoNo3Pro & Farm3,800,000$0$0$No3,800,000$3,800,000$-------NoNo-------Link / NHL Link
Johnny Gaudreau (1 Way Contract)Columbus Blue JacketsRW291993-08-13No165 Lbs5 ft9NoNoN/ANoNo4Pro & Farm4,000,000$0$0$No4,000,000$4,000,000$4,000,000$------NoNoNo------Link / NHL Link
Jonathan DrouinColumbus Blue JacketsLW281995-03-28No198 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,650,000$0$0$No------------------Link / NHL Link
Jonathan Quick (1 Way Contract)Columbus Blue JacketsG371986-01-21No220 Lbs6 ft1NoNoTrade2024-05-31NoNo1Pro & Farm1,000,100$0$0$No------------------Link / NHL Link
Mackenzie Blackwood (1 Way Contract)Columbus Blue JacketsG261996-12-09No225 Lbs6 ft4YesNoN/ANoNo3Pro Only2,760,000$0$0$No2,760,000$2,760,000$-------YesYes-------Link / NHL Link
Marcus Foligno (1 Way Contract)Columbus Blue JacketsRW311991-08-10No226 Lbs6 ft3NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------Link / NHL Link
Matt Dumba (1 Way Contract)Columbus Blue JacketsD281994-07-25No181 Lbs6 ft0NoNoN/ANoNo1Pro & Farm9,000,000$0$0$No------------------Link / NHL Link
Max PaciorettyColumbus Blue JacketsRW341988-11-20No217 Lbs6 ft2NoNoTrade2024-05-10NoNo1Pro & Farm1,833,334$0$0$No------------------Link / NHL Link
Riley StillmanColumbus Blue JacketsD251998-03-09No196 Lbs6 ft1NoNoN/ANoNo4Pro & Farm1,450,000$0$0$No1,450,000$1,450,000$1,450,000$------NoNoNo------Link / NHL Link
Ross ColtonColumbus Blue JacketsC261996-09-11No194 Lbs6 ft0NoNoTrade2024-01-31NoNo3Pro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------Link / NHL Link
Ryan StromeColumbus Blue JacketsC291993-07-11No191 Lbs6 ft1NoNoN/ANoNo4Pro & Farm1,670,000$0$0$No1,670,000$1,670,000$1,670,000$------NoNoNo------Link / NHL Link
Sammy BlaisColumbus Blue JacketsRW271996-06-17No206 Lbs6 ft2NoNoTrade2024-06-20NoNo2Pro & Farm690,000$0$0$No690,000$--------No--------Link / NHL Link
Valeri NichushkinColumbus Blue JacketsLW281995-03-04No210 Lbs6 ft4NoNoTrade2024-06-18NoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Link / NHL Link
Vincent Trocheck (1 Way Contract)Columbus Blue JacketsC291993-07-11No184 Lbs5 ft11NoNoN/ANoNo4Pro & Farm4,000,000$0$0$No4,000,000$4,000,000$4,000,000$------NoNoNo------Link / NHL Link
Vladimir Tarasenko (1 Way Contract)Columbus Blue JacketsLW311991-12-13No228 Lbs6 ft1NoNoTrade2024-05-29NoNo1Pro & Farm4,900,000$0$0$No------------------Link / NHL Link
Zach Hyman (1 Way Contract)Columbus Blue JacketsLW311992-06-09No211 Lbs6 ft1NoNoN/ANoNo3Pro & Farm3,500,000$0$0$No3,500,000$3,500,000$-------NoNo-------Link / NHL Link
Zach Werenski (1 Way Contract)Columbus Blue JacketsD251997-07-19No213 Lbs6 ft2NoNoN/ANoNo4Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$3,000,000$------NoNoNo------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2429.13203 Lbs6 ft12.503,138,397$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
75,321,528$52,608,094$34,868,094$18,691,427$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach HymanVincent TrocheckMarcus Foligno35023
2Carter VerhaegheJohn TavaresJohnny Gaudreau35023
3Vladimir TarasenkoRyan StromeMax Pacioretty20023
4Jonathan DrouinRoss ColtonAnthony Beauvillier10032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaZach Werenski40032
2Hampus LindholmConnor Murphy35032
3Riley StillmanJohn Ramage25032
4Matt DumbaZach Werenski0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carter VerhaegheVincent TrocheckAnthony Beauvillier60005
2Zach HymanJohn TavaresVladimir Tarasenko40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaZach Werenski60014
2Hampus LindholmConnor Murphy40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Vincent TrocheckVladimir Tarasenko60050
2Marcus FolignoJohnny Gaudreau40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaZach Werenski60050
2Hampus LindholmConnor Murphy40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Vincent Trocheck60050Matt DumbaZach Werenski60050
2Marcus Foligno40050Hampus LindholmConnor Murphy40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Vincent TrocheckMarcus Foligno60032
2John TavaresZach Hyman40032
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaZach Werenski60032
2Hampus LindholmConnor Murphy40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zach HymanVincent TrocheckMarcus FolignoMatt DumbaZach Werenski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Johnny GaudreauVincent TrocheckMarcus FolignoMatt DumbaZach Werenski
Extra Forwards
Normal PowerPlayPenalty Kill
Vincent Trocheck, John Tavares, Zach HymanZach Hyman, Carter VerhaegheRyan Strome
Extra Defensemen
Normal PowerPlayPenalty Kill
Riley Stillman, Matt Dumba, Hampus LindholmRiley StillmanZach Werenski, Hampus Lindholm
Penalty Shots
Vincent Trocheck, Zach Hyman, Carter Verhaeghe, Anthony Beauvillier, Marcus Foligno
Goalie
#1 : Mackenzie Blackwood, #2 : Jonathan Quick
Custom OT Lines Forwards
Vincent Trocheck, Marcus Foligno, John Tavares, Zach Hyman, Carter Verhaeghe, Anthony Beauvillier, Anthony Beauvillier, Vladimir Tarasenko, Jonathan Drouin, Ryan Strome, Max Pacioretty
Custom OT Lines Defensemen
Matt Dumba, Zach Werenski, Hampus Lindholm, Connor Murphy, Riley Stillman


Filter Tips
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4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
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OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Anaheim Mighty Ducks4200000211101220000006332000000257-280.66711172800515014043444316117293310126519.23%14378.57%01013186854.23%969182853.01%555103553.62%995677377239
2Boston Bruins20200000411-71010000026-41010000025-300.0004711003010583017110722426376116.67%8450.00%01013186854.23%969182853.01%555103553.62%422545173215
3Carolina Hurricanes22000000826110000003121100000051461.0008101800134068201434056102042400.00%100100.00%01013186854.23%969182853.01%555103553.62%432440183617
4Chicago Blackhawks613011001117-63120000057-230101100610-460.3331117281015411755258641183637917219315.79%23482.61%01013186854.23%969182853.01%555103553.62%125701355410350
5Colorado Avalanche4400000012392200000062422000000615121.000122133014530134354455012036169212216.67%80100.00%01013186854.23%969182853.01%555103553.62%895585346432
6Detroit Red Wings632001001821-331200000814-6320001001073100.556182644001314018255557022045511111717741.18%291065.52%11013186854.23%969182853.01%555103553.62%130771315410148
7Edmonton Oilers420010011284200010014402200000084490.7501221330031711385133461212236308117317.65%10190.00%11013186854.23%969182853.01%555103553.62%935788356635
8Florida Panthers2010000157-21010000023-11000000134-110.1675101500122068182524365142147500.00%8362.50%01013186854.23%969182853.01%555103553.62%452744183516
9Hamilton Mustangs631001011816233000000104630100101812-4110.6111830481066601925769617177515612919421.05%18288.89%01013186854.23%969182853.01%555103553.62%128731325510451
10Los Angeles Kings43100000131032110000057-22200000083590.750131932004630142475639013743349013323.08%7185.71%01013186854.23%969182853.01%555103553.62%915681336633
11Minnesota North Stars6300002121111030000021651330000001569140.778213253004411420263528116170722813922627.27%90100.00%01013186854.23%969182853.01%555103553.62%145891245210554
12Montreal Canadiens211000004401010000024-21100000020230.5004711010310612318200531816439222.22%8187.50%01013186854.23%969182853.01%555103553.62%422443193416
13New Jersey Devils2000020035-21000010023-11000010012-120.3333580011105422228268251740200.00%60100.00%01013186854.23%969182853.01%555103553.62%432546183516
14New York Islanders21000001660110000003211000000134-140.6676101600321172252817755281238500.00%60100.00%01013186854.23%969182853.01%555103553.62%472942183417
15New York Rangers21000010633100000104311100000020250.83368140123017121222110591711479333.33%30100.00%01013186854.23%969182853.01%555103553.62%452844183417
16Philadelphia Flyers2020000025-31010000013-21010000012-100.00024610110055172117060201640900.00%8187.50%01013186854.23%969182853.01%555103553.62%432442173317
17Pittsburgh Penguins2020000014-31010000012-11010000002-200.00012300001053221714056178521100.00%4175.00%01013186854.23%969182853.01%555103553.62%462738173418
18Quebec Nordiques21001000743100010004311100000031250.833711180013216623271516228165911327.27%8187.50%01013186854.23%969182853.01%555103553.62%452641183317
19Seattle Kraken41200100911-22020000026-42100010075240.3339132220441012340453801022736871516.67%13284.62%01013186854.23%969182853.01%555103553.62%915278356935
20St Louis Blues632001001516-13210000076131100100810-2100.5561526410064501894886541154416013534411.76%20860.00%11013186854.23%969182853.01%555103553.62%147881095210556
21Tampa Bay Lightning211000006511010000034-11100000031230.500681400312058261616076301836600.00%9188.89%11013186854.23%969182853.01%555103553.62%442543173215
22Toronto Maple Leafs2010100068-2100010005411010000014-320.3336814001221671614298812319485120.00%7357.14%01013186854.23%969182853.01%555103553.62%422546193415
23Vegas Golden Knights440000002191222000000126622000000936121.00021365700471001233744420852379931715.88%11372.73%21013186854.23%969182853.01%555103553.62%935471367538
Total7836210473721919623391614031321031021392070160511694221360.5812193485675359678610249179182781986233473076217652934916.72%2474980.16%61013186854.23%969182853.01%555103553.62%1769104616367021348678
_Since Last GM Reset7836210473721919623391614031321031021392070160511694221360.5812193485675359678610249179182781986233473076217652934916.72%2474980.16%61013186854.23%969182853.01%555103553.62%1769104616367021348678
_Vs Conference542911025251611322927148010227164727153015039068221050.648161258419414246696174052858659355157147656212362113918.48%1623479.01%51013186854.23%969182853.01%555103553.62%12367321117482936476
_Vs Division3013801422838121575000213636015630140147452510.56783131214201822405940275320330278882823346921112421.62%992475.76%21013186854.23%969182853.01%555103553.62%676400634268520260

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
78136W221934856724912334730762176553
All Games
GPWLOTWOTL SOWSOLGFGA
7836214737219196
Home Games
GPWLOTWOTL SOWSOLGFGA
3916143132103102
Visitor Games
GPWLOTWOTL SOWSOLGFGA
39207160511694
Last 10 Games
WLOTWOTL SOWSOL
430300
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2934916.72%2474980.16%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7918278198659678610
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1013186854.23%969182853.01%555103553.62%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1769104616367021348678


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
16Columbus Blue Jackets3New York Islanders4ALXXBoxScore
316New York Rangers3Columbus Blue Jackets4BWXXBoxScore
525Pittsburgh Penguins2Columbus Blue Jackets1BLBoxScore
845Columbus Blue Jackets2Boston Bruins5ALBoxScore
1053Colorado Avalanche1Columbus Blue Jackets2BWBoxScore
1265Columbus Blue Jackets2Los Angeles Kings1AWBoxScore
1682Columbus Blue Jackets3Colorado Avalanche1AWBoxScore
1895Anaheim Mighty Ducks2Columbus Blue Jackets4BWBoxScore
20104Chicago Blackhawks3Columbus Blue Jackets1BLBoxScore
22117St Louis Blues1Columbus Blue Jackets2BWBoxScore
24127Columbus Blue Jackets3Detroit Red Wings1AWBoxScore
26140Columbus Blue Jackets2Hamilton Mustangs3ALXXBoxScore
28153Columbus Blue Jackets4Minnesota North Stars1AWBoxScore
30167Columbus Blue Jackets2Chicago Blackhawks1AWXBoxScore
32180Minnesota North Stars2Columbus Blue Jackets1BLXXBoxScore
34191Hamilton Mustangs1Columbus Blue Jackets3BWBoxScore
36203Los Angeles Kings2Columbus Blue Jackets4BWBoxScore
38215Columbus Blue Jackets6Vegas Golden Knights1AWBoxScore
39218Columbus Blue Jackets1New Jersey Devils2ALXBoxScore
42239Philadelphia Flyers3Columbus Blue Jackets1BLBoxScore
46251Columbus Blue Jackets3Quebec Nordiques1AWBoxScore
49263Florida Panthers3Columbus Blue Jackets2BLBoxScore
52275Columbus Blue Jackets3Tampa Bay Lightning1AWBoxScore
55287Carolina Hurricanes1Columbus Blue Jackets3BWBoxScore
58298Detroit Red Wings5Columbus Blue Jackets4BLBoxScore
59306Columbus Blue Jackets4St Louis Blues3AWBoxScore
62323Columbus Blue Jackets3Hamilton Mustangs5ALBoxScore
65336St Louis Blues2Columbus Blue Jackets3BWBoxScore
67347Columbus Blue Jackets2Chicago Blackhawks6ALBoxScore
69356Chicago Blackhawks1Columbus Blue Jackets3BWBoxScore
70363Columbus Blue Jackets2St Louis Blues4ALBoxScore
73383Hamilton Mustangs2Columbus Blue Jackets5BWBoxScore
75395Columbus Blue Jackets0Pittsburgh Penguins2ALBoxScore
77406Montreal Canadiens4Columbus Blue Jackets2BLBoxScore
80419Columbus Blue Jackets1Toronto Maple Leafs4ALBoxScore
82429Toronto Maple Leafs4Columbus Blue Jackets5BWXBoxScore
84442Boston Bruins6Columbus Blue Jackets2BLBoxScore
85449Tampa Bay Lightning4Columbus Blue Jackets3BLBoxScore
88467Columbus Blue Jackets5Carolina Hurricanes1AWBoxScore
90476Columbus Blue Jackets2Chicago Blackhawks3ALXBoxScore
93488Chicago Blackhawks3Columbus Blue Jackets1BLBoxScore
96496Columbus Blue Jackets1Philadelphia Flyers2ALBoxScore
98505Quebec Nordiques3Columbus Blue Jackets4BWXBoxScore
100522Columbus Blue Jackets2Montreal Canadiens0AWBoxScore
103531Columbus Blue Jackets2New York Rangers0AWBoxScore
105546New York Islanders2Columbus Blue Jackets3BWBoxScore
108558Columbus Blue Jackets3Florida Panthers4ALXXBoxScore
112576Edmonton Oilers1Columbus Blue Jackets2BWXBoxScore
113579Columbus Blue Jackets3Anaheim Mighty Ducks4ALXXBoxScore
116594Columbus Blue Jackets4Edmonton Oilers2AWBoxScore
118603Columbus Blue Jackets4Seattle Kraken1AWBoxScore
120618Vegas Golden Knights4Columbus Blue Jackets6BWBoxScore
123627Seattle Kraken3Columbus Blue Jackets1BLBoxScore
126642New Jersey Devils3Columbus Blue Jackets2BLXBoxScore
128649Detroit Red Wings1Columbus Blue Jackets3BWBoxScore
130661Columbus Blue Jackets5Detroit Red Wings3AWBoxScore
132675Columbus Blue Jackets7Minnesota North Stars4AWBoxScore
134690Minnesota North Stars1Columbus Blue Jackets2BWXXBoxScore
137701Columbus Blue Jackets6Los Angeles Kings2AWBoxScore
140713Vegas Golden Knights2Columbus Blue Jackets6BWBoxScore
142722Columbus Blue Jackets2Anaheim Mighty Ducks3ALXXBoxScore
144734Colorado Avalanche1Columbus Blue Jackets4BWBoxScore
146749Columbus Blue Jackets3Seattle Kraken4ALXBoxScore
148761Edmonton Oilers3Columbus Blue Jackets2BLXXBoxScore
152776Columbus Blue Jackets4Edmonton Oilers2AWBoxScore
154788Seattle Kraken3Columbus Blue Jackets1BLBoxScore
156803Columbus Blue Jackets3Colorado Avalanche0AWBoxScore
158815Anaheim Mighty Ducks1Columbus Blue Jackets2BWBoxScore
160824Columbus Blue Jackets3Vegas Golden Knights2AWBoxScore
163836Los Angeles Kings5Columbus Blue Jackets1BLBoxScore
165843St Louis Blues3Columbus Blue Jackets2BLBoxScore
166849Columbus Blue Jackets2St Louis Blues3ALXBoxScore
169869Hamilton Mustangs1Columbus Blue Jackets2BWBoxScore
170875Columbus Blue Jackets3Hamilton Mustangs4ALXBoxScore
173892Detroit Red Wings8Columbus Blue Jackets1BLBoxScore
174895Columbus Blue Jackets2Detroit Red Wings3ALXBoxScore
179921Columbus Blue Jackets4Minnesota North Stars1AWBoxScore
180933Minnesota North Stars2Columbus Blue Jackets3BWXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price92513023186
Attendance202,648172,93067,668129,15544,991
Attendance PCT87.48%91.24%87.63%83.63%91.56%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 15831 - 87.95% 1,176,282$45,875,002$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
67,911,761$ 76,955,528$ 76,844,417$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 67,911,761$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 425,169$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 74,337,220$ 74,337,220$



Depth Chart

Left WingCenterRight Wing
Zach HymanAGE:31PO:0OV:79
Carter VerhaegheAGE:27PO:0OV:78
Vladimir TarasenkoAGE:31PO:0OV:77
Jonathan DrouinAGE:28PO:0OV:74
Valeri NichushkinAGE:28PO:0OV:71
Chris WagnerAGE:32PO:0OV:70
Eric RobinsonAGE:28PO:0OV:68
Cole BardreauAGE:29PO:0OV:65
Vincent TrocheckAGE:29PO:0OV:81
John TavaresAGE:32PO:0OV:80
Ryan StromeAGE:29PO:0OV:74
Ross ColtonAGE:26PO:0OV:73
Mark ArcobelloAGE:34PO:0OV:71
Oscar MollerAGE:34PO:0OV:69
Lars EllerAGE:34PO:0OV:69
Michael SgarbossaAGE:30PO:0OV:68
Sean KuralyAGE:30PO:0OV:68
Sam CarrickAGE:31PO:0OV:63
Marcus FolignoAGE:31PO:0OV:80
Anthony BeauvillierAGE:26PO:0OV:77
Johnny GaudreauAGE:29PO:0OV:77
Max PaciorettyAGE:34PO:0OV:76
Josh BaileyAGE:33PO:0OV:70
Linus OmarkAGE:36PO:0OV:69
Sammy BlaisAGE:27PO:0OV:69
Mackenzie MacEachernAGE:29PO:0OV:68
Trevor MooreAGE:28PO:0OV:68
Brock McGinnAGE:29PO:0OV:67
Stefan NoesenAGE:30PO:0OV:66
Andy AndreoffAGE:32PO:0OV:64

Defense #1Defense #2Goalie
Matt DumbaAGE:28PO:0OV:80
Zach WerenskiAGE:25PO:0OV:79
Connor MurphyAGE:30PO:0OV:78
Hampus LindholmAGE:29PO:0OV:78
Riley StillmanAGE:25PO:0OV:75
J.J. Moser (R)AGE:23PO:0OV:75
Fredrik ClaessonAGE:30PO:0OV:73
Jared SpurgeonAGE:33PO:0OV:71
John RamageAGE:32PO:0OV:71
Erik JohnsonAGE:35PO:0OV:71
Jon MerrillAGE:31PO:0OV:70
Martin MarincinAGE:31PO:0OV:70
Bogdan KiselevichAGE:33PO:0OV:67
Nick SeelerAGE:30PO:0OV:67
Mackenzie BlackwoodAGE:26PO:0OV:83
Jonathan QuickAGE:37PO:0OV:78
Aaron DellAGE:34PO:0OV:76
Collin DeliaAGE:29PO:0OV:76
Jonas JohanssonAGE:27PO:0OV:73
Oscar DanskAGE:29PO:0OV:67

Prospects

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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
1x RFA TagColumbus Blue Jackets00
21x TC PTSColumbus Blue Jackets00
Adam BeckmanColumbus Blue Jackets1957
Aidan DudasColumbus Blue Jackets18109
Alex CottonColumbus Blue Jackets20130
Alex LaferriereColumbus Blue Jackets20128
Alexander CampbellColumbus Blue Jackets1976
Alexander KhovanovColumbus Blue Jackets18108
Alexander PashinColumbus Blue Jackets20120
Alexei LipanovColumbus Blue Jackets17104
Blake McLaughlinColumbus Blue Jackets18112
Brett LeasonColumbus Blue Jackets1931
Bryce BrodzinskiColumbus Blue Jackets19130
Bulat ShafigullinColumbus Blue Jackets18115
Cameron AllenColumbus Blue Jackets23150Link
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
Fabian ZetterlundColumbus Blue Jackets17114
Filip HallanderColumbus Blue Jackets1874
Filip ZadinaColumbus Blue Jackets184
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
Kristian VesalainenColumbus Blue Jackets1725
Matej PekarColumbus Blue Jackets18116
Matteo CostantiniColumbus Blue Jackets20102
Maxime ComtoisColumbus Blue Jackets1755
Michael BenningColumbus Blue Jackets2040
Michael TeplyColumbus Blue Jackets1985
Niklas NordgrenColumbus Blue Jackets1878
Nikola PasicColumbus Blue Jackets19116
Olen ZellwegerColumbus Blue Jackets2135Link
Oscar Fisker-MolgaardColumbus Blue Jackets2364Link
Patrik PuistolaColumbus Blue Jackets1945
Pavel DorofeyevColumbus Blue Jackets1933
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
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
24
25
26
27
28
Conditional Draft Picks




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

[2024-07-04 3:04:19 PM] - TRADE : From Minnesota North Stars to Columbus Blue Jackets : $1,143,303 (Money).
[2024-07-04 3:01:22 PM] - TRADE : From Minnesota North Stars to Columbus Blue Jackets : $62,616 (Money).
[2024-06-30 10:11:16 AM] - New Record for Team's Most Penalties Minutes (47) in 1 Game for Columbus Blue Jackets!



[2024-07-04 3:04:19 PM] TRADE : From Minnesota North Stars to Columbus Blue Jackets : $1,143,303 (Money).
[2024-07-04 3:01:22 PM] TRADE : From Minnesota North Stars to Columbus Blue Jackets : $62,616 (Money).
[2024-07-01 10:26:27 AM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:2607:fea8:2ae1:b800:6943:dca8:1b2b:fe51 .
[2024-06-30 10:11:16 AM] New Record for Team's Most Penalties Minutes (47) in 1 Game for Columbus Blue Jackets!
[2024-06-29 10:05:22 AM] Johnny Gaudreau from Columbus Blue Jackets is back from Right Forearm Injury.
[2024-06-28 10:22:56 AM] J.J. Moser from Cleveland Monsters is back from Left Hip Injury.
[2024-06-27 11:26:39 AM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:99.243.64.8 .
[2024-06-26 10:04:51 AM] Game 869 - J.J. Moser from Cleveland Monsters is injured (Left Hip) and is out for 4 days.
[2024-06-24 10:04:21 AM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:174.89.127.59 .



Nick Seeler is out for 2 weeks because of a Right Leg Injury.



Columbus Blue Jackets Players Stat Leaders (Regular Season)

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

Columbus Blue Jackets Goalies Stat Leaders (Regular Season)

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

Columbus Blue Jackets Career Team Stats

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

Columbus Blue Jackets Players Stat Leaders (Play-Off)

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

Columbus Blue Jackets Goalies Stat Leaders (Play-Off)

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