Login

Columbus Blue Jackets
GP: 74 | W: 34 | L: 30 | OTL: 10 | P: 78
GF: 233 | GA: 240 | PP%: 22.53% | PK%: 81.69%
GM : Fredrik Omdal | Morale : 38 | Team Overall : 72
#1206 vs Vancouver Canucks
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Columbus Blue Jackets
34-30-10, 78pts
1
FINAL
2 New Jersey Devils
58-14-3, 119pts
Team Stats
SOL2StreakW11
18-14-6Home Record28-8-2
16-16-4Away Record30-6-1
6-2-2Last 10 Games10-0-0
3.15Goals Per Game3.89
3.24Goals Against Per Game2.65
22.53%Power Play Percentage23.15%
81.69%Penalty Kill Percentage80.10%
Boston Bruins
44-26-5, 93pts
4
FINAL
3 Columbus Blue Jackets
34-30-10, 78pts
Team Stats
SOL1StreakSOL2
23-11-4Home Record18-14-6
21-15-1Away Record16-16-4
7-2-1Last 10 Games6-2-2
3.01Goals Per Game3.15
2.80Goals Against Per Game3.24
18.00%Power Play Percentage22.53%
78.68%Penalty Kill Percentage81.69%
Columbus Blue Jackets
34-30-10, 78pts
Day 137
Vancouver Canucks
41-28-6, 88pts
Team Stats
SOL2StreakL1
18-14-6Home Record22-13-2
16-16-4Away Record19-15-4
6-2-2Last 10 Games2-4-4
3.15Goals Per Game3.20
3.24Goals Against Per Game3.20
22.53%Power Play Percentage19.82%
81.69%Penalty Kill Percentage81.62%
Pittsburgh Penguins
32-37-5, 69pts
Day 139
Columbus Blue Jackets
34-30-10, 78pts
Team Stats
W2StreakSOL2
17-19-1Home Record18-14-6
15-18-4Away Record16-16-4
6-3-1Last 10 Games6-2-2
2.65Goals Per Game3.15
3.30Goals Against Per Game3.15
20.86%Power Play Percentage22.53%
80.00%Penalty Kill Percentage81.69%
Columbus Blue Jackets
34-30-10, 78pts
Day 141
Nashville Predators
37-28-10, 84pts
Team Stats
SOL2StreakL1
18-14-6Home Record20-12-5
16-16-4Away Record17-16-5
6-2-2Last 10 Games4-4-2
3.15Goals Per Game3.19
3.24Goals Against Per Game3.19
22.53%Power Play Percentage19.58%
81.69%Penalty Kill Percentage78.44%
Team Leaders
Boone JennerGoals
Boone Jenner
41
Patrik LaineAssists
Patrik Laine
61
Patrik LainePoints
Patrik Laine
99
Boone JennerPlus/Minus
Boone Jenner
7
Joonas KorpisaloWins
Joonas Korpisalo
24
Save Percentage
Mike Smith
0.915

Team Stats
Goals For
233
3.15 GFG
Shots For
2333
31.53 Avg
Power Play Percentage
22.5%
66 GF
Offensive Zone Start
37.6%
Goals Against
240
3.24 GAA
Shots Against
2329
31.47 Avg
Penalty Kill Percentage
81.7%%
63 GA
Defensive Zone Start
38.3%
Team Info

General ManagerFredrik Omdal
CoachFredrik Omdal
DivisionMetropolitan Division
ConferenceEastern Conference
Captain
Assistant #1Boone Jenner
Assistant #2Justin Faulk


Arena Info

NameTortorella
Capacity22,000
Attendance19,987
Season Tickets11,000


Roster Info

Pro Team21
Farm Team24
Contract Limit45 / 60
Prospects19


Salary Cap

Estimated Season Salary Cap81,521,665$
Available Salary Cap978,335$
Special Salary Cap Value0$
Players In Salary Cap22


Finance

Year to Date Revenue59,512,678$
Year To Date Expenses73,982,868$
Estimated Season Revenue4,698,369$
Estimated Season Expenses8,807,536$
Current Bank Account53,447,463$
Projected Bank Account48,775,811$


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
1Patrik Laine0XX100.0070439189808073954190976385717177828202548,700,000$
2Boone Jenner (A)0XX100.0085557882828486929784937175847978808003044,000,000$
3Max Domi0XX100.0067547286697893829182836525747572707502813,000,000$
4Andreas Athanasiou0XXX100.00644294927073727348718067777475705773N02913,750,000$
5Oliver Bjorkstrand0X100.0071429584657298803677826225717171707302835,400,000$
6Ryan Strome0XX100.00646473847275957478748060477879686572N03046,250,000$
7Gustav Nyquist0XXX100.0071429180637784723974838179676271617103415,500,000$
8Jack Roslovic0XX100.0064429782697496737979707125777269727102624,000,000$
9Eric Robinson0XX100.0081459975736687553161738225686869626902821,600,000$
10Corey Perry0X100.00669968767961997225626860619999664068N03811,250,000$
11Kevin Stenlund0XX100.006743897180627665875559832561616354660271750,000$
12Justin Faulk (A)0X100.0085458784778896792573568825828567707703126,500,000$
13Zachary Werenski0X100.0073429989788960902568657925727468537402649,583,333$
14Andrew Peeke0X100.008946908074839861255956952570656361730251787,500$
15Vladislav Gavrikov0X100.0075448481808593692551569425686862647202812,800,000$
16Zach Bogosian0X100.0090477580836664542547467375828558516903321,062,500$
17Jake Bean0X100.0072438986706960642564537675676261476802522,333,333$
18Adam Boqvist0X100.0064419585657766842568516425626265186602332,600,000$
Scratches
1Kirill Marchenko (R)0X96.306742938173737582537392707553537271730232925,000$
Farm Team
1Jakub Voracek0XX100.0058429983787363803580645766898965177003428,250,000$
2Kent Johnson (R)0XX100.005940947966677774397975577558586882670212925,000$
3Yegor Chinakhov (R)0X100.007442908567656769347766657558586680660221925,000$
4Trey Fix-Wolansky0X100.007064827167788072507071626748486779650241750,000$
5Liam Foudy (R)0XXX100.007643978367626462336263742558586382640232762,500$
6Cole Sillinger0X100.008244908574659461786056642562626278630202925,000$
7Gabriel Dumont0XX100.007469786369626264815864656161626282610331750,000$
8Alan Quine0XX100.007973907573565656715652644858595780600301750,000$
9Connor Zary (R)0X100.006865766067767963806360605847476081590223863,333$
10Carson Meyer0X100.008444896466557561255655652548485980590261750,000$
11Cory Conacher0XXX100.007164896963535261785661655865666081590341750,000$
12Sean Malone0X100.007170796470626360785461626047476080580281750,000$
13Tyler Angle (R)0X100.006962886564798653684755585347465770560232850,833$
14Scott Harrington0X100.007744937075707160255253812567675981650301750,000$
15Gavin Bayreuther0X100.007756847373696964256047785361616078650291750,000$
16Jacob Christiansen (R)0X100.007143968375678864255348632549495880620241925,000$
17Samuel Knazko (R)0X100.007670896672616452255038603747475180570213847,500$
18Ethan Prow0X100.007366916566596054255241624047475380570311750,000$
19Michael Milne (R)0X100.007567926567707649504548614645445520550213861,667$
20Ole Julian Bjorgvik Holm (R)0X100.007872916772565944253439613744445020540213825,000$
21Corson Ceulemans (R)0X100.007673826575474845253341614046464964540201750,000$
TEAM AVERAGE99.91735388777270766746636369476363636666
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
1Joonas Korpisalo098.008160657886816986858179656674777602911,430,000$
2Mike Smith098.007240409577736979837673808270807304112,200,000$
Scratches
Farm Team
1Daniil Tarasov (R)0100.006350496368567163686075484857856002431,050,000$
2Dylan Ferguson (R)0100.00554354736056546058573044445581560251750,000$
3Christopher Gibson0100.00474354794851505353529545455021510311750,000$
TEAM AVERAGE99.2064475278686363686965705657616963
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Fredrik Omdal60606060316050SWE4121,000,000$


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
1Patrik LaineColumbus Blue JacketsLW/RW743861994241075643128523412.18%18148220.03173249672530003898228.57%988634001.346140021045
2Boone JennerColumbus Blue JacketsC/LW74415394711951231072719218015.13%27138818.77182947592550003244256.73%17984825001.35012001775
3Max DomiColumbus Blue JacketsC/LW74222850-137201251111947112511.34%23121616.434913211930004922150.46%8663022000.8218000143
4Oliver BjorkstrandColumbus Blue JacketsRW74182947-414067621513410111.92%16103413.99471118161000000223.91%464012000.9101000421
5Kirill MarchenkoColumbus Blue JacketsRW69182139-41556853110327316.36%24107715.62851317191000003240.85%711511000.7201010212
6Justin FaulkColumbus Blue JacketsD7452732-37001041099731455.15%92170923.11371014280000073100%02359100.3700000022
7Andreas AthanasiouColumbus Blue JacketsC/LW/RW73922312120496315329985.88%2196613.240000501171051037.93%584117000.6416000201
8Gustav NyquistColumbus Blue JacketsC/LW/RW74141529-162158668134319710.45%24122316.5353816188101101623035.95%1532413000.4723010121
9Zachary WerenskiColumbus Blue JacketsD7452126-13407310513253653.79%86170122.99481220278011263000%12356000.3101000002
10Jack RoslovicColumbus Blue JacketsC/RW7411152621810428012144729.09%2594512.780000130003352149.80%4942614000.5500101013
11Ryan StromeColumbus Blue JacketsC/RW74121123-7600954914544888.28%1594812.81000478000002151.29%2714416000.4904000040
12Andrew PeekeColumbus Blue JacketsD7441721-136801021097331345.48%90177123.9422481680005294000%01157000.2400000001
13Corey PerryColumbus Blue JacketsRW40861465315251246143817.39%73308.2600004000001211.11%9106000.8500102101
14Jakub VoracekCleveland Monsters (CBJ)LW/RW466814-90018248828506.82%955312.03000050000111025.00%321311000.5101000111
15Eric RobinsonColumbus Blue JacketsLW/RW74591460069829128505.49%2591712.4000000000112930029.27%412718000.3100000000
16Kevin StenlundColumbus Blue JacketsC/RW6368146220566856114110.71%1775612.010000200082490050.25%603622000.3700000001
17Vladislav GavrikovColumbus Blue JacketsD7447114740941377244275.56%101178024.061017166000328400100.00%1668000.1201000001
18Zach BogosianColumbus Blue JacketsD62077270076513014140%4887614.14000150001167000%0424000.1600000010
19Jake BeanColumbus Blue JacketsD72156716038684611152.17%4694713.16000000002169000%0333000.1300000000
20Adam BoqvistColumbus Blue JacketsD19011-1002611470%520811.0000001000123000%034000.1000000000
Team Total or Average1332227371598-377325013871428233373114549.73%7192183716.39661021682522255123632141281350.90%4542483522100.551052226292930
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
1Joonas KorpisaloColumbus Blue Jackets50241960.9013.052897411471489686400.774314924545
2Mike SmithColumbus Blue Jackets247550.9152.4611702048567281000.632191854111
3Daniil TarasovCleveland Monsters (CBJ)10000.8573.3336002149000001000
Team Total or Average753124110.9052.88410461197207097640506779656


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 Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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
Adam Boqvist (1 Way Contract)Columbus Blue JacketsD232000-12-31No179 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro Only2,600,000$2,600,000$273,684$No2,600,000$2,600,000$-------NoNo-------Link / NHL Link
Andreas Athanasiou (1 Way Contract)Columbus Blue JacketsC/LW/RW291994-12-31No188 Lbs6 ft2YesNoN/ANoYes1FalseFalsePro Only3,750,000$3,750,000$394,737$No------------------Link / NHL Link
Andrew Peeke (1 Way Contract)Columbus Blue JacketsD251998-12-31No194 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only787,500$787,500$82,895$No------------------Link / NHL Link
Boone Jenner (1 Way Contract)Columbus Blue JacketsC/LW301993-12-31No208 Lbs6 ft2NoNoN/ANoYes4FalseFalsePro Only4,000,000$4,000,000$421,053$No4,000,000$4,000,000$4,000,000$------NoNoNo------Link / NHL Link
Corey Perry (1 Way Contract)Columbus Blue JacketsRW381985-12-31No205 Lbs6 ft3YesNoN/ANoYes1FalseFalsePro Only1,250,000$1,250,000$131,579$No------------------Link / NHL Link
Eric Robinson (1 Way Contract)Columbus Blue JacketsLW/RW281995-12-31No197 Lbs6 ft2NoNoN/ANoYes2FalseFalsePro Only1,600,000$1,600,000$168,421$No1,600,000$--------No--------Link / NHL Link
Gustav Nyquist (1 Way Contract)Columbus Blue JacketsC/LW/RW341989-12-31 04:12:32No179 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro Only5,500,000$5,500,000$578,947$No------------------Link / NHL Link
Jack Roslovic (1 Way Contract)Columbus Blue JacketsC/RW261997-12-31No187 Lbs6 ft1NoNoN/ANoYes2FalseFalsePro Only4,000,000$4,000,000$421,053$No4,000,000$--------No--------Link / NHL Link
Jake Bean (1 Way Contract)Columbus Blue JacketsD251998-12-31No186 Lbs6 ft1NoNoN/ANoYes2FalseFalsePro Only2,333,333$2,333,333$245,614$No2,333,333$--------No--------Link / NHL Link
Joonas Korpisalo (1 Way Contract)Columbus Blue JacketsG291994-12-31No191 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only1,430,000$1,430,000$150,526$No------------------Link / NHL Link
Justin Faulk (1 Way Contract)Columbus Blue JacketsD311992-12-31No217 Lbs6 ft0NoNoN/ANoYes2FalseFalsePro Only6,500,000$6,500,000$684,211$No6,500,000$--------No--------Link / NHL Link
Kevin StenlundColumbus Blue JacketsC/RW271996-12-31No210 Lbs6 ft4NoNoN/ANoYes1FalseFalsePro & Farm750,000$750,000$78,947$No------------------Link / NHL Link
Kirill MarchenkoColumbus Blue JacketsRW232000-12-31Yes187 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm925,000$925,000$97,368$No925,000$--------No--------
Max Domi (1 Way Contract)Columbus Blue JacketsC/LW281995-12-31No192 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro Only3,000,000$3,000,000$315,789$No------------------Link / NHL Link
Mike Smith (1 Way Contract)Columbus Blue JacketsG411982-12-31 19:09:47No220 Lbs6 ft5NoNoTrade2024-03-10NoYes1FalseFalsePro Only2,200,000$2,200,000$231,579$No------------------
Oliver Bjorkstrand (1 Way Contract)Columbus Blue JacketsRW281995-12-31No177 Lbs6 ft0NoNoN/ANoYes3FalseFalsePro Only5,400,000$5,400,000$568,421$No5,400,000$5,400,000$-------NoNo-------Link / NHL Link
Patrik Laine (1 Way Contract)Columbus Blue JacketsLW/RW251998-12-31No206 Lbs6 ft5NoNoN/ANoYes4FalseFalsePro Only8,700,000$8,700,000$915,789$No8,700,000$8,700,000$8,700,000$------NoNoNo------Link / NHL Link
Ryan Strome (1 Way Contract)Columbus Blue JacketsC/RW301993-12-31No190 Lbs6 ft1YesNoN/ANoYes4FalseFalsePro Only6,250,000$6,250,000$657,895$No6,250,000$6,250,000$6,250,000$------YesYesYes------Link / NHL Link
Vladislav Gavrikov (1 Way Contract)Columbus Blue JacketsD281995-12-31No213 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only2,800,000$2,800,000$294,737$No------------------Link / NHL Link
Zach Bogosian (1 Way Contract)Columbus Blue JacketsD331990-12-31No226 Lbs6 ft3NoNoN/ANoYes2FalseFalsePro Only1,062,500$1,062,500$111,842$No1,062,500$--------No--------Link / NHL Link
Zachary Werenski (1 Way Contract)Columbus Blue JacketsD261997-12-31No212 Lbs6 ft2NoNoN/ANoYes4FalseFalsePro Only9,583,333$9,583,333$1,008,772$No9,583,333$9,583,333$9,583,333$------NoNoNo------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2128.90198 Lbs6 ft22.053,543,889$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
74,421,666$52,954,166$36,533,333$28,533,333$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Patrik LaineBoone JennerCorey Perry33023
2Gustav NyquistMax DomiOliver Bjorkstrand26023
3Andreas AthanasiouJack RoslovicRyan Strome26023
4Eric RobinsonKevin StenlundAdam Boqvist15131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin FaulkAndrew Peeke40131
2Vladislav GavrikovZachary Werenski40131
3Zach BogosianJake Bean20131
4Justin FaulkZachary Werenski0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Patrik LaineBoone JennerJack Roslovic60005
2Gustav NyquistMax DomiOliver Bjorkstrand40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin FaulkZachary Werenski62014
2Vladislav GavrikovAndrew Peeke38113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kevin StenlundEric Robinson60050
2Gustav NyquistAndreas Athanasiou40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrew PeekeVladislav Gavrikov65230
2Jake BeanZach Bogosian35140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kevin Stenlund50140Andrew PeekeVladislav Gavrikov63140
2Gustav Nyquist50140Jake BeanZach Bogosian37122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Boone JennerPatrik Laine50122
2Max DomiAndreas Athanasiou50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin FaulkZachary Werenski50131
2Vladislav GavrikovAndrew Peeke50131
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Patrik LaineBoone JennerJack RoslovicJustin FaulkZachary Werenski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Eric RobinsonBoone JennerKevin StenlundJustin FaulkZachary Werenski
Extra Forwards
Normal PowerPlayPenalty Kill
Oliver Bjorkstrand, Ryan Strome, Max DomiJack Roslovic, Ryan StromeKevin Stenlund
Extra Defensemen
Normal PowerPlayPenalty Kill
Andrew Peeke, Zach Bogosian, Jake BeanAndrew PeekeAndrew Peeke, Zach Bogosian
Penalty Shots
Patrik Laine, Boone Jenner, Max Domi, Andreas Athanasiou, Ryan Strome
Goalie
#1 : Mike Smith, #2 : Joonas Korpisalo


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 Ducks211000008711010000034-11100000053220.50081422005120512212170692214528225.00%7271.43%0877169851.65%886172851.27%549108450.65%432444173216
2Arizona Coyotes11000000752110000007520000000000021.0007121900223026103130291220165480.00%10280.00%0877169851.65%886172851.27%549108450.65%2011208189
3Boston Bruins210000016511000000134-11100000031230.7506111700042067162625561198417228.57%4175.00%0877169851.65%886172851.27%549108450.65%432545183517
4Buffalo Sabres2010000157-21000000123-11010000034-110.25058130032006328161956920164710220.00%8187.50%0877169851.65%886172851.27%549108450.65%472641173519
5Calgary Flames2110000059-41010000038-51100000021120.5005712001040681231250589384110220.00%14285.71%0877169851.65%886172851.27%549108450.65%432337183819
6Carolina Hurricanes512001011721-4310001011311220200000410-640.400172946006650144435249214750779223521.74%36975.00%0877169851.65%886172851.27%549108450.65%10254110509344
7Chicago Blackhawks220000001578110000008441100000073441.000152540005550642422180761912369444.44%60100.00%0877169851.65%886172851.27%549108450.65%412343173517
8Colorado Avalanche11000000211000000000001100000021121.00023500011034115180251210228225.00%5180.00%0877169851.65%886172851.27%549108450.65%2112209178
9Dallas Stars10000010541100000105410000000000021.000561100202132491922796226116.67%2150.00%0877169851.65%886172851.27%549108450.65%221221102010
10Detroit Red Wings21100000633110000004041010000023-120.50061016013120561817210663029398112.50%12191.67%0877169851.65%886172851.27%549108450.65%402145193417
11Edmonton Oilers2020000048-41010000034-11010000014-300.00046100013005314201905724282713323.08%14471.43%0877169851.65%886172851.27%549108450.65%402144203417
12Florida Panthers2010001078-1100000104311010000035-220.50071118003121712021302651920506350.00%10460.00%0877169851.65%886172851.27%549108450.65%442443193717
13Los Angeles Kings211000009901010000038-51100000061520.50091423004140662320230722221339333.33%8275.00%0877169851.65%886172851.27%549108450.65%432643173216
14Minnesota Wild3200000112752200000010461000000123-150.8331219310044419938223979723124815213.33%70100.00%0877169851.65%886172851.27%549108450.65%693959275630
15Montreal Canadiens22000000954110000003211100000063341.00091524004410813719250681814355240.00%7185.71%1877169851.65%886172851.27%549108450.65%432745173114
16Nashville Predators1010000035-21010000035-20000000000000.00033600021032131450326426500.00%20100.00%0877169851.65%886172851.27%549108450.65%2112209178
17New Jersey Devils513000011521-620200000711-431100001810-230.3001525400021120164427349316338588314214.29%291065.52%0877169851.65%886172851.27%549108450.65%10460111488842
18New York Islanders40200020810-22010001035-22010001055040.5008917003034123424239611540286318211.11%14285.71%0877169851.65%886172851.27%549108450.65%905183387639
19New York Rangers41100101811-32010010058-32100000133040.50081422005120122334146510226246915213.33%12375.00%0877169851.65%886172851.27%549108450.65%885186387035
20Ottawa Senators220000001046110000005321100000051441.0001016260045107920293006324384514535.71%10190.00%0877169851.65%886172851.27%549108450.65%472736183518
21Philadelphia Flyers421000101385220000008352010001055060.75013203300534213841425441253842822150.00%21195.24%0877169851.65%886172851.27%549108450.65%854988377031
22Pittsburgh Penguins32100000990110000004312110000056-140.6679152400351095373226087402062600.00%10280.00%0877169851.65%886172851.27%549108450.65%633762275325
23San Jose Sharks30200001713-61000000134-12020000049-510.1677121900124082252828611924494215426.67%18383.33%0877169851.65%886172851.27%549108450.65%583069305627
24Seattle Kraken220000001073110000004311100000064241.000101424004330742326250611212449333.33%6183.33%0877169851.65%886172851.27%549108450.65%442541163417
25St. Louis Blues22000000752110000003211100000043141.000711180030406423152607020104015320.00%5180.00%0877169851.65%886172851.27%549108450.65%472838173317
26Tampa Bay Lightning2020000057-21010000034-11010000023-100.000581300032055222310062262831400.00%14378.57%0877169851.65%886172851.27%549108450.65%442540173517
27Toronto Maple Leafs20000011330100000102111000000112-130.75033600020160142418968233033300.00%150100.00%0877169851.65%886172851.27%549108450.65%381951224017
28Vancouver Canucks1010000025-31010000025-30000000000000.0002460011003110165026138204125.00%4250.00%0877169851.65%886172851.27%549108450.65%2011209189
29Vegas Golden Knights20200000410-61010000036-31010000014-300.0004610000130622221190642518408337.50%9277.78%0877169851.65%886172851.27%549108450.65%412243183517
30Washington Capitals41300000913-4211000007702020000026-420.250916250031501094425400136443068900.00%160100.00%0877169851.65%886172851.27%549108450.65%814689376832
31Winnipeg Jets211000003301010000002-21100000031220.5003580020106822143205012183810220.00%9188.89%0877169851.65%886172851.27%549108450.65%452540183417
Total74283000268233240-738141400244133136-336141600024100104-4780.5272333716040179757310233375376081256232971974213872936622.53%3446381.69%1877169851.65%886172851.27%549108450.65%159390215936991324652
_Since Last GM Reset74283000268233240-738141400244133136-336141600024100104-4780.5272333716040179757310233375376081256232971974213872936622.53%3446381.69%1877169851.65%886172851.27%549108450.65%159390215936991324652
_Vs Conference45141800256130135-52286002337368523612000235767-10460.51113021034001444932814274574824814113974554628401442718.75%2183982.11%1877169851.65%886172851.27%549108450.65%965549982430807391
_Vs Division29813002337993-141455002114748-11538000223245-13270.4667912820700272722689528230730320875276279519871213.79%1382780.43%0877169851.65%886172851.27%549108450.65%617351632279521252

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7478SOL223337160423332329719742138701
All Games
GPWLOTWOTL SOWSOLGFGA
7428300268233240
Home Games
GPWLOTWOTL SOWSOLGFGA
3814140244133136
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3614160024100104
Last 10 Games
WLOTWOTL SOWSOL
620002
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2936622.53%3446381.69%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7537608125679757310
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
877169851.65%886172851.27%549108450.65%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
159390215936991324652


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
18Columbus Blue Jackets2San Jose Sharks3LBoxScore
216Columbus Blue Jackets4New Jersey Devils3WBoxScore
431Carolina Hurricanes3Columbus Blue Jackets2LXBoxScore
653Minnesota Wild1Columbus Blue Jackets5WBoxScore
872New York Islanders4Columbus Blue Jackets1LBoxScore
1085Columbus Blue Jackets2Philadelphia Flyers3LBoxScore
1196Columbus Blue Jackets1New York Rangers2LXXBoxScore
13112Columbus Blue Jackets4Pittsburgh Penguins2WBoxScore
15126Washington Capitals4Columbus Blue Jackets2LBoxScore
17144Columbus Blue Jackets1Washington Capitals4LBoxScore
18155Carolina Hurricanes5Columbus Blue Jackets4LXXBoxScore
21178New Jersey Devils4Columbus Blue Jackets3LBoxScore
23200Philadelphia Flyers2Columbus Blue Jackets4WBoxScore
24205Columbus Blue Jackets3New York Islanders2WXXBoxScore
27231New York Rangers4Columbus Blue Jackets2LBoxScore
28238Columbus Blue Jackets1Carolina Hurricanes5LBoxScore
31263Columbus Blue Jackets1Edmonton Oilers4LBoxScore
32277Columbus Blue Jackets2Colorado Avalanche1WBoxScore
33288St. Louis Blues2Columbus Blue Jackets3WBoxScore
35307Carolina Hurricanes3Columbus Blue Jackets7WBoxScore
38329Los Angeles Kings8Columbus Blue Jackets3LBoxScore
40346Columbus Blue Jackets5Ottawa Senators1WBoxScore
41359Columbus Blue Jackets3Buffalo Sabres4LBoxScore
42372San Jose Sharks4Columbus Blue Jackets3LXXBoxScore
45395Chicago Blackhawks4Columbus Blue Jackets8WBoxScore
46408Columbus Blue Jackets2New York Rangers1WBoxScore
48423Winnipeg Jets2Columbus Blue Jackets0LBoxScore
50444Columbus Blue Jackets1Washington Capitals2LBoxScore
52458Detroit Red Wings0Columbus Blue Jackets4WBoxScore
53467Columbus Blue Jackets6Los Angeles Kings1WBoxScore
55489Columbus Blue Jackets2New York Islanders3LBoxScore
57500New York Islanders1Columbus Blue Jackets2WXXBoxScore
59523Columbus Blue Jackets3New Jersey Devils5LBoxScore
60532Toronto Maple Leafs1Columbus Blue Jackets2WXXBoxScore
62550Columbus Blue Jackets6Montreal Canadiens3WBoxScore
64566Columbus Blue Jackets3Carolina Hurricanes5LBoxScore
66575Montreal Canadiens2Columbus Blue Jackets3WBoxScore
67592Anaheim Ducks4Columbus Blue Jackets3LBoxScore
71620Vegas Golden Knights6Columbus Blue Jackets3LBoxScore
73636Columbus Blue Jackets3Philadelphia Flyers2WXXBoxScore
74652New Jersey Devils7Columbus Blue Jackets4LBoxScore
77678Nashville Predators5Columbus Blue Jackets3LBoxScore
79696Columbus Blue Jackets2Detroit Red Wings3LBoxScore
81708Columbus Blue Jackets2Minnesota Wild3LXXBoxScore
82717Dallas Stars4Columbus Blue Jackets5WXXBoxScore
84741Edmonton Oilers4Columbus Blue Jackets3LBoxScore
87760Columbus Blue Jackets3Florida Panthers5LBoxScore
88771New York Rangers4Columbus Blue Jackets3LXBoxScore
89781Columbus Blue Jackets3Boston Bruins1WBoxScore
91798Columbus Blue Jackets7Chicago Blackhawks3WBoxScore
93811Philadelphia Flyers1Columbus Blue Jackets4WBoxScore
95834Columbus Blue Jackets5Anaheim Ducks3WBoxScore
96839Columbus Blue Jackets1Vegas Golden Knights4LBoxScore
97854Florida Panthers3Columbus Blue Jackets4WXXBoxScore
100874Calgary Flames8Columbus Blue Jackets3LBoxScore
102899Columbus Blue Jackets2Tampa Bay Lightning3LBoxScore
103908Columbus Blue Jackets1Toronto Maple Leafs2LXXBoxScore
105920Vancouver Canucks5Columbus Blue Jackets2LBoxScore
107940Tampa Bay Lightning4Columbus Blue Jackets3LBoxScore
109962Buffalo Sabres3Columbus Blue Jackets2LXXBoxScore
111971Columbus Blue Jackets4St. Louis Blues3WBoxScore
113995Washington Capitals3Columbus Blue Jackets5WBoxScore
1141002Columbus Blue Jackets2Calgary Flames1WBoxScore
1171029Ottawa Senators3Columbus Blue Jackets5WBoxScore
1191041Columbus Blue Jackets1Pittsburgh Penguins4LBoxScore
1201056Columbus Blue Jackets6Seattle Kraken4WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
1221067Seattle Kraken3Columbus Blue Jackets4WBoxScore
1241093Arizona Coyotes5Columbus Blue Jackets7WBoxScore
1261108Columbus Blue Jackets2San Jose Sharks6LBoxScore
1271116Columbus Blue Jackets3Winnipeg Jets1WBoxScore
1291134Minnesota Wild3Columbus Blue Jackets5WBoxScore
1321156Pittsburgh Penguins3Columbus Blue Jackets4WBoxScore
1331164Columbus Blue Jackets1New Jersey Devils2LXXBoxScore
1351188Boston Bruins4Columbus Blue Jackets3LXXBoxScore
1371206Columbus Blue Jackets-Vancouver Canucks-
1391221Pittsburgh Penguins-Columbus Blue Jackets-
1411231Columbus Blue Jackets-Nashville Predators-
1431252Colorado Avalanche-Columbus Blue Jackets-
1441256Columbus Blue Jackets-San Jose Sharks-
1461272Columbus Blue Jackets-Dallas Stars-
1491294Columbus Blue Jackets-Arizona Coyotes-
1511312Anaheim Ducks-Columbus Blue Jackets-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity8000500030005150850
Ticket Price78452517170
Attendance282,429153,840107,371185,55130,297
Attendance PCT92.90%80.97%94.19%94.81%93.80%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
3 19987 - 90.85% 1,566,123$59,512,678$22000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
73,982,868$ 82,671,666$ 82,671,666$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
81,521,665$ 72,808,219$ 0$ 22 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
4,698,369$ 16 550,471$ 8,807,536$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
9,467,083$ 53,447,463$ 48,775,811$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
81,521,665$ 978,335$ 82,500,000$ 20,521,665$



Depth Chart

Left WingCenterRight Wing
Patrik LaineAGE:25PO:77OV:82
Boone JennerAGE:30PO:78OV:80
Max DomiAGE:28PO:72OV:75
Andreas AthanasiouAGE:29PO:70OV:73
Gustav NyquistAGE:34PO:71OV:71
Jakub VoracekAGE:34PO:65OV:70
Eric RobinsonAGE:28PO:69OV:69
Kent Johnson (R)AGE:21PO:68OV:67
Liam Foudy (R)AGE:23PO:63OV:64
Alan QuineAGE:30PO:57OV:60
Cory ConacherAGE:34PO:60OV:59
Michael Milne (R)AGE:21PO:55OV:55
Boone JennerAGE:30PO:78OV:80
Max DomiAGE:28PO:72OV:75
Andreas AthanasiouAGE:29PO:70OV:73
Ryan StromeAGE:30PO:68OV:72
Gustav NyquistAGE:34PO:71OV:71
Jack RoslovicAGE:26PO:69OV:71
Kent Johnson (R)AGE:21PO:68OV:67
Kevin StenlundAGE:27PO:63OV:66
Liam Foudy (R)AGE:23PO:63OV:64
Cole SillingerAGE:20PO:62OV:63
Gabriel DumontAGE:33PO:62OV:61
Alan QuineAGE:30PO:57OV:60
Connor Zary (R)AGE:22PO:60OV:59
Cory ConacherAGE:34PO:60OV:59
Sean MaloneAGE:28PO:60OV:58
Tyler Angle (R)AGE:23PO:57OV:56
Patrik LaineAGE:25PO:77OV:82
Kirill Marchenko (R)AGE:23PO:72OV:73
Oliver BjorkstrandAGE:28PO:71OV:73
Andreas AthanasiouAGE:29PO:70OV:73
Ryan StromeAGE:30PO:68OV:72
Gustav NyquistAGE:34PO:71OV:71
Jack RoslovicAGE:26PO:69OV:71
Jakub VoracekAGE:34PO:65OV:70
Eric RobinsonAGE:28PO:69OV:69
Corey PerryAGE:38PO:66OV:68
Yegor Chinakhov (R)AGE:22PO:66OV:66
Kevin StenlundAGE:27PO:63OV:66
Trey Fix-WolanskyAGE:24PO:67OV:65
Liam Foudy (R)AGE:23PO:63OV:64
Gabriel DumontAGE:33PO:62OV:61
Cory ConacherAGE:34PO:60OV:59
Carson MeyerAGE:26PO:59OV:59

Defense #1Defense #2Goalie
Justin FaulkAGE:31PO:67OV:77
Zachary WerenskiAGE:26PO:68OV:74
Andrew PeekeAGE:25PO:63OV:73
Vladislav GavrikovAGE:28PO:62OV:72
Zach BogosianAGE:33PO:58OV:69
Jake BeanAGE:25PO:61OV:68
Adam BoqvistAGE:23PO:65OV:66
Gavin BayreutherAGE:29PO:60OV:65
Scott HarringtonAGE:30PO:59OV:65
Jacob Christiansen (R)AGE:24PO:58OV:62
Ethan ProwAGE:31PO:53OV:57
Samuel Knazko (R)AGE:21PO:51OV:57
Ole Julian Bjorgvik Holm (R)AGE:21PO:50OV:54
Corson Ceulemans (R)AGE:20PO:49OV:54
Joonas KorpisaloAGE:29PO:74OV:76
Mike SmithAGE:41PO:70OV:73
Daniil Tarasov (R)AGE:24PO:57OV:60
Dylan Ferguson (R)AGE:25PO:55OV:56
Christopher GibsonAGE:31PO:50OV:51

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
Alexandre TexierColumbus Blue Jackets201745Link
Andrew StrathmannColumbus Blue Jackets2023101
Calle OdeliusColumbus Blue Jackets202239
Cole FonstadColumbus Blue Jackets2018128
David ReinbacherColumbus Blue Jackets20236
Dmitri VoronkovColumbus Blue Jackets2020124
Eric HjorthColumbus Blue Jackets2019132
Guillaume RichardColumbus Blue Jackets2021101
James MalatestaColumbus Blue Jackets2021133
Marcus KarlbergColumbus Blue Jackets201874
Martin MisiakColumbus Blue Jackets202369
Melker ThelinColumbus Blue Jackets2023133
Mikael PyyhtiaColumbus Blue Jackets2020152
Nikolai MakarovColumbus Blue Jackets2021132
Samuel JohannessonColumbus Blue Jackets20200
Shane WrightColumbus Blue Jackets20222
Stanislav SvozilColumbus Blue Jackets202169
Tanner MolendykColumbus Blue Jackets202337
Tucker RobertsonColumbus Blue Jackets2022138

Draft Picks

Year R1R2R3R4R5
2024
2025
2026
2027
2028
Conditional Draft Picks



No News Found in News Database. Please create a news.


Columbus Blue Jackets Trade History

[2024-03-10 19:21:42] - TRADE : From Columbus Blue Jackets to Minnesota Wild : Brian Elliott (66), Y:2024-RND:4-CBJ.
[2024-03-10 19:21:42] - TRADE : From Minnesota Wild to Columbus Blue Jackets : Mike Smith (72), Y:2025-RND:5-MIN.
[2023-11-10 23:54:43] - Gabriel Dumont signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-10 23:54:43] - Gabriel Dumont was added to Columbus Blue Jackets.
[2023-11-10 23:54:20] - Ethan Prow signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-10 23:54:20] - Ethan Prow was added to Columbus Blue Jackets.
[2023-11-10 23:53:34] - Cory Conacher signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-10 23:53:34] - Cory Conacher was added to Columbus Blue Jackets.
[2023-11-10 23:52:19] - Christopher Gibson signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-10 23:52:19] - Christopher Gibson was added to Columbus Blue Jackets.
[2023-11-10 23:47:13] - Alan Quine signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-10 23:47:13] - Alan Quine was added to Columbus Blue Jackets.
[2023-11-08 22:45:35] - Sean Malone signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-08 22:45:35] - Sean Malone was added to Columbus Blue Jackets.
[2023-11-08 22:45:18] - Offer from Columbus Blue Jackets for Samuel Walker of $885,000 for 2 year(s) with $0 in bonus has been refused.
[2023-11-08 22:21:20] - Dylan Ferguson signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-08 22:21:20] - Dylan Ferguson was added to Columbus Blue Jackets.



[2024-04-25 19:39:09] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-24 19:30:28] Kirill Marchenko from Columbus Blue Jackets is back from Right Knee Injury.
[2024-04-24 19:30:28] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 18:15:45] Both Columbus Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 18:09:40] Columbus Blue Jackets roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-21 20:08:20] Game 1156 - Kirill Marchenko from Columbus Blue Jackets is injured (Right Knee) and is out for 1 week.
[2024-04-19 23:38:34] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-18 19:26:12] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-16 20:07:50] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-15 19:24:30] Last 7 Days Farm Star : 1 - Justin Richards of Rochester Americans (4-3-7) / 2 - Daniil Tarasov of Cleveland Monsters (0.953) / 3 - Felix Sandstrom of Chicago Wolves (0.959)
[2024-04-14 18:49:14] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 18:45:58] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:188.149.119.233 .
[2024-04-13 19:00:22] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-13 18:59:16] Auto Lines Function has been run for Cleveland Monsters.
[2024-04-13 18:57:11] Columbus Blue Jackets roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-10 22:05:45] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2024-04-10 22:05:45] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2024-04-10 22:01:49] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-09 19:13:48] Jake Bean from Columbus Blue Jackets is back from Groin Injury.
[2024-04-09 19:13:48] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-09 18:57:10] Columbus Blue Jackets roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-08 20:18:38] Game 1041 - Jake Bean from Columbus Blue Jackets is injured (Groin) and is out for 1 week.
[2024-04-05 22:33:01] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-03 20:49:39] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-03-30 19:48:43] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-03-26 20:59:04] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.



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