Your STHS is out of Date! Please update your STHS version!

Columbus Blue Jackets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Kai | Morale : 40 | Team Overall : 65
Next Games #10 vs Buffalo Sabres
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Buffalo Sabres
0-0-0, 0pts
Day 3
Columbus Blue Jackets
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Utah Mammoth
0-0-0, 0pts
Day 5
Columbus Blue Jackets
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Pittsburgh Penguins
0-0-0, 0pts
Day 11
Columbus Blue Jackets
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Team Leaders

Team Stats
Team Info

General ManagerKai
CoachPascal Vincent
DivisionMetropolitan
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameNationwide Arena
Capacity18,000
Attendance
Season Tickets7,200


Roster Info

Pro Team23
Farm Team36
Contract Limit59 / 70
Prospects31


Salary Cap

Estimated Season Salary Cap106,798,500$
Available Salary Cap-23,298,500$
Special Salary Cap Value2,307,500$
Players In Salary Cap59


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses105,991,011$
Current Bank Account42,278,690$
Projected Bank Account-64,712,257$


Team History

This Season0-0-0 (0PTS)
History60-87-15 (0.370%)
Playoff Appearances3
Playoff Record (W-L)0-0
Stanley Cup0


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
1Alexander WennbergXXX100.006840918477929184718279808287830408003224,225,000$
2Charlie CoyleXXX100.007740937584909386768280818089790408003414,855,000$
3Adam FantilliXXX100.007863748286907989748181718460500407702275,050,000$
4Dmitri VoronkovXXX100.008070697893857785507982728260500407602613,300,000$
5Egor ChinakhovXX100.007140947883848385437780698170600407602522,500,000$
6Cole SillingerXXX100.007955757884868381667869757670600407502322,100,000$
7Jonathan DrouinXXX100.006755927974878979748168727687770407503124,350,000$
8Nino NiederreiterXX100.007840927684859379437572707691810407503414,035,000$
9Kent JohnsonXXX100.006440908175848376407568687570600407202432,250,000$
10Gavin Brindley (R)XX100.007440968574787775507070717760500407102211,100,000$
11Andrey KuzmenkoXX100.006240857578857675407274627565550407003014,350,000$
12Mitchell ChaffeeXX100.006146637063696768456663646758500406402812,150,000$
13Denton Mateychuk (R)X100.006540959379887783406976798758500407602221,400,000$
14Nick BlankenburgX100.007540969071868181407272798470600407602812,850,000$
15Logan Mailloux (R)X100.007963717988867780406466787860500407402341,400,000$
16Ian Moore (R)X100.007540877985837578406464817758500407402411,000,000$
17Jake BeanX100.005740737577877168405556696980700406802811,850,000$
18Jordan HarrisX100.005640767678856868405656686970600406702611,950,000$
Scratches
1Adam BoqvistX100.006040847580837569405853686878680406802612,200,000$
2Juuso ValimakiX100.006341726568666362405349686155500406202831,495,000$
Farm Team
1Hendrix LapierreX100.007455797580778371647265697070600437002431,400,000$
2Nate Danielson (R)XXX100.006140847683826569626664667055500436702221,400,000$
3Conor Geekie (R)XXX100.006947636871646268646760686550500436402221,400,000$
4Luca Del Bel Belluz (R)XX100.006140757264646268646663616850500436402311,100,000$
5Dylan Duke (R)XXX100.00564467716267656664646555675150043630231900,000$
6Mikael PyyhtiaXXX100.005842737260666466446562616752500436302511,250,000$
7Jack Williams (R)XXX100.005941756962686665616358606452500436202411,580,250$
8Luca Pinelli (R)XXX100.00604861726063616644656060655050043620212900,000$
9Owen Beck (R)X100.006442716865646264436358626350500436202211,100,000$
10Ivan Miroshnichenko (R)XX100.006344646666615865436358606350500436102211,100,000$
11Ivan Ryabkin (R)XXX100.006447606566606060556060606050500436001931,100,000$
12Cameron Lund (R)XXX100.006141726565615862426054556050500435902221,100,000$
13Scott MorrowX100.005740847487856969406053686860500436702411,200,000$
14David JiricekX100.005840817487817168405453686865550436702331,400,000$
15Adam Engstrom (R)X100.00664173736663616740575671685050043640232975,000$
16Guillaume Richard (R)X100.00654273716467656340494969645150043620232900,000$
17Corson Ceulemans (R)X100.005744666965656366405352606551500436002311,470,000$
18Radim Mrtka (R)X100.006745655974545054404442625450500435701931,400,000$
19Alexander NylanderXXX100.006041746863706867446462616658500436302811,700,000$
20Hunter McKown (R)XXX100.00584367656565636260605452605150043590241882,000$
21Jordan Dumais (R)X100.00544073665863616042565351605050043570222975,000$
22Max McCue (R)XXX100.00564365656362595554525151575150043560232850,000$
23Ellis Rickwood (R)XXX100.00634070636760575441515158565150043560241905,000$
24Martin Rysavy (R)XX100.00555555555555555540555555555555043550232775,000$
25Kirill Dolzhenkov (R)XX100.00555555555555555540555555555555043550223900,000$
26Christian Fitzgerald (R)XXX100.00604070656261585140505055555250043550241855,000$
27Davis Burnside (R)XXX100.00604070656359565040505054555050043550231805,000$
28Josh Nadeau (R)XX100.00554070665659565241515052565050043540232780,000$
29Dmitri KulikovX100.005840747081887966405352686592820436803614,350,000$
30Jeremie Poirier (R)X100.005443676563656362404946546052500435702411,023,750$
31Aidan Hreschuk (R)X100.00604070666360575140444261565150043570232975,000$
32Ben Dexheimer (R)X100.00554070675961585140434260565250043560241805,000$
33Nikolai Makarov (R)X100.00555555555555555540555555555555043550232850,000$
TEAM AVERAGE100.0064447571717268674862606567605504265
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
1Jet Greaves100.00948790779392909291928765580408102523,700,000$
2Daniil Tarasov100.00848485849084798181868270630407602732,700,000$
Scratches
1Arvid Soderblom100.00828182778479757578837870630407302722,150,000$
Farm Team
1William Rousseau (R)100.0065585564626366656361555150043580231800,000$
2Nolan Lalonde (R)100.0064555567625960556160505050043560223775,000$
3Sergei Ivanov (R)100.0055555555555555555555555555043520223850,000$
TEAM AVERAGE100.007470707174727171727368605704266
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Pascal Vincent7574736878561CAN5411,500,000$


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
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


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 Force Waivers Waiver Possible Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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 10 2 3 4 5 6 7 8 9 10Link
Adam Boqvist (1 Way Contract)Columbus Blue JacketsD2615.08.2000No86 Kg183 CMNoNoAssign ManuallyYesYes105.06.2024Pro & Farm2,200,000$2,200,000$2,200,000$2,200,000$2,200,000$2,200,000$No------------------Link / NHL Link
Adam Fantilli (1 Way Contract)Columbus Blue JacketsC/LW/RW2212.10.2004No93 Kg188 CMNoNoAssign ManuallyYesYes719.07.2026Pro & Farm5,050,000$5,050,000$5,050,000$5,050,000$5,050,000$5,050,000$No5,050,000$5,050,000$5,050,000$5,050,000$5,050,000$5,050,000$---NoNoNoNoNoNo---Link / NHL Link
Alexander Wennberg (1 Way Contract)Columbus Blue JacketsC/LW/RW3222.09.1994No86 Kg185 CMNoNoAssign ManuallyYesYes210.08.2025Pro & Farm4,225,000$4,225,000$4,225,000$4,225,000$4,225,000$4,225,000$No4,225,000$--------No--------Link / NHL Link
Andrey Kuzmenko (1 Way Contract)Columbus Blue JacketsLW/RW3004.02.1996No88 Kg180 CMNoNoTrade21.09.2024YesYes105.06.2024Pro & Farm4,350,000$4,350,000$4,350,000$4,350,000$4,350,000$4,350,000$No------------------Link / NHL Link
Arvid Soderblom (1 Way Contract)Columbus Blue JacketsG2719.08.1999No81 Kg191 CMNoNoTrade23.08.2026YesYes219.07.2026Pro & Farm2,150,000$2,150,000$2,150,000$2,150,000$2,150,000$2,150,000$No2,150,000$--------No--------Link / NHL Link
Charlie Coyle (1 Way Contract)Columbus Blue JacketsC/LW/RW3402.03.1992No100 Kg191 CMNoNoAssign ManuallyYesYes110.08.2025Pro & Farm4,855,000$4,855,000$4,855,000$4,855,000$4,855,000$4,855,000$No------------------Link / NHL Link
Cole Sillinger (1 Way Contract)Columbus Blue JacketsC/LW/RW2316.05.2003No92 Kg183 CMNoNoAssign ManuallyYesYes205.06.2024Pro & Farm2,100,000$2,100,000$2,100,000$2,100,000$2,100,000$2,100,000$No2,100,000$--------No--------Link / NHL Link
Daniil Tarasov (1 Way Contract)Columbus Blue JacketsG2727.03.1999No89 Kg196 CMNoNoAssign ManuallyYesYes319.07.2026Pro & Farm2,700,000$2,700,000$2,700,000$2,700,000$2,700,000$2,700,000$No2,700,000$2,700,000$-------NoNo-------Link / NHL Link
Denton MateychukColumbus Blue JacketsD2212.07.2004Yes87 Kg180 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$No1,400,000$--------No--------Link / NHL Link
Dmitri Voronkov (1 Way Contract)Columbus Blue JacketsC/LW/RW2610.09.2000No106 Kg196 CMNoNoAssign ManuallyYesYes106.07.2025Pro & Farm3,300,000$3,300,000$3,300,000$3,300,000$3,300,000$3,300,000$No------------------Link / NHL Link
Egor Chinakhov (1 Way Contract)Columbus Blue JacketsLW/RW2501.02.2001No92 Kg185 CMNoNoAssign ManuallyYesYes205.06.2024Pro & Farm2,500,000$2,500,000$2,500,000$2,500,000$2,500,000$2,500,000$No2,500,000$--------No--------Link / NHL Link
Gavin BrindleyColumbus Blue JacketsLW/RW2205.10.2004Yes78 Kg173 CMNoNoAssign ManuallyNoNo119.07.2026Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$No------------------Link / NHL Link
Ian MooreColumbus Blue JacketsD2404.01.2002Yes93 Kg191 CMNoNoAssign ManuallyYesYes119.07.2026Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$No------------------Link / NHL Link
Jake Bean (1 Way Contract)Columbus Blue JacketsD2809.06.1998No87 Kg185 CMNoNoAssign ManuallyYesYes106.07.2025Pro & Farm1,850,000$1,850,000$1,850,000$1,850,000$1,850,000$1,850,000$No------------------Link / NHL Link
Jet Greaves (1 Way Contract)Columbus Blue JacketsG2530.03.2001No85 Kg183 CMNoNoAssign ManuallyYesYes219.07.2026Pro & Farm3,700,000$3,700,000$3,700,000$3,700,000$3,700,000$3,700,000$No3,700,000$--------No--------Link / NHL Link
Jonathan Drouin (1 Way Contract)Columbus Blue JacketsC/LW/RW3128.03.1995No92 Kg183 CMNoNoAssign ManuallyYesYes214.08.2025Pro & Farm4,350,000$4,350,000$4,350,000$4,350,000$4,350,000$4,350,000$No4,350,000$--------No--------Link / NHL Link
Jordan Harris (1 Way Contract)Columbus Blue JacketsD2607.07.2000No86 Kg183 CMNoNoTrade25.02.2025YesYes105.06.2024Pro & Farm1,950,000$1,950,000$1,950,000$1,950,000$1,950,000$1,950,000$No------------------Link / NHL Link
Juuso ValimakiColumbus Blue JacketsD2806.10.1998No100 Kg191 CMNoNoAssign ManuallyYesYes319.08.2026Pro & Farm1,495,000$1,495,000$1,495,000$1,495,000$1,495,000$1,495,000$No1,495,000$1,495,000$-------NoNo-------Link / NHL Link
Kent Johnson (1 Way Contract)Columbus Blue JacketsC/LW/RW2418.10.2002No77 Kg183 CMNoNoAssign ManuallyYesYes305.06.2024Pro & Farm2,250,000$2,250,000$2,250,000$2,250,000$2,250,000$2,250,000$No2,250,000$2,250,000$-------NoNo-------Link / NHL Link
Logan MaillouxColumbus Blue JacketsD2315.04.2003Yes96 Kg191 CMNoNoAssign Manually25.02.2025YesYes419.07.2026Pro & Farm1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$No1,400,000$1,400,000$1,400,000$------NoNoNo------Link / NHL Link
Mitchell Chaffee (1 Way Contract)Columbus Blue JacketsLW/RW2826.01.1998No93 Kg185 CMNoNoTrade23.08.2026YesYes106.07.2025Pro & Farm2,150,000$2,150,000$2,150,000$2,150,000$2,150,000$2,150,000$No------------------Link / NHL Link
Nick Blankenburg (1 Way Contract)Columbus Blue JacketsD2812.05.1998No80 Kg175 CMNoNoAssign ManuallyYesYes106.07.2025Pro & Farm2,850,000$2,850,000$2,850,000$2,850,000$2,850,000$2,850,000$No------------------Link / NHL Link
Nino Niederreiter (1 Way Contract)Columbus Blue JacketsLW/RW3408.09.1992No99 Kg188 CMNoNoAssign Manually08.07.2024YesYes110.08.2025Pro & Farm4,035,000$4,035,000$4,035,000$4,035,000$4,035,000$4,035,000$No------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2326.7490 Kg185 CM1.962,737,391$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
62,960,000$33,320,000$12,895,000$6,450,000$5,050,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dmitri VoronkovAdam FantilliEgor Chinakhov31122
2Alexander WennbergCharlie CoyleJonathan Drouin31122
3Cole SillingerKent JohnsonAndrey Kuzmenko26122
4Nino NiederreiterMitchell ChaffeeGavin Brindley12122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Denton MateychukIan Moore31131
2Nick BlankenburgLogan Mailloux31131
3Jake BeanJordan Harris26221
4Denton MateychukLogan Mailloux12131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Egor ChinakhovAlexander WennbergJonathan Drouin50122
2Adam FantilliCharlie CoyleDmitri Voronkov50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian MooreNick Blankenburg50122
2Denton MateychukLogan Mailloux50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cole SillingerKent Johnson50230
2Alexander WennbergGavin Brindley50230
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick BlankenburgJake Bean50230
2Denton MateychukIan Moore50230
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Charlie Coyle50122Nick BlankenburgDenton Mateychuk50122
2Cole Sillinger50122Ian MooreLogan Mailloux50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Charlie CoyleEgor Chinakhov50122
2Adam FantilliKent Johnson50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Denton MateychukIan Moore50122
2Nick BlankenburgLogan Mailloux50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Charlie CoyleAdam FantilliDmitri VoronkovDenton MateychukLogan Mailloux
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alexander WennbergCharlie CoyleCole SillingerDenton MateychukNick Blankenburg
Extra Forwards
Normal PowerPlayPenalty Kill
Alexander Wennberg, Adam Fantilli, Dmitri VoronkovCole Sillinger, Adam FantilliKent Johnson
Extra Defensemen
Normal PowerPlayPenalty Kill
Denton Mateychuk, Ian Moore, Logan MaillouxDenton MateychukJake Bean, Nick Blankenburg
Penalty Shots
Charlie Coyle, Adam Fantilli, Jonathan Drouin, Kent Johnson, Dmitri Voronkov
Goalie
#1 : Jet Greaves, #2 : Daniil Tarasov, #3 : 0
Custom OT Lines Forwards
Adam Fantilli, Dmitri Voronkov, Charlie Coyle, Egor Chinakhov, Cole Sillinger, Jonathan Drouin, Jonathan Drouin, Alexander Wennberg, Kent Johnson, Andrey Kuzmenko, Gavin Brindley
Custom OT Lines Defensemen
Denton Mateychuk, Ian Moore, Logan Mailloux, Nick Blankenburg, Jordan Harris


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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
310Buffalo Sabres-Columbus Blue Jackets-
526Utah Mammoth-Columbus Blue Jackets-
1167Pittsburgh Penguins-Columbus Blue Jackets-
1282Columbus Blue Jackets-St. Louis Blues-
15104Florida Panthers-Columbus Blue Jackets-
19129New York Rangers-Columbus Blue Jackets-
20136Columbus Blue Jackets-Minnesota Wild-
22142Toronto Maple Leafs-Columbus Blue Jackets-
26178Vegas Golden Knights-Columbus Blue Jackets-
29196Columbus Blue Jackets-Philadelphia Flyers-
31209Columbus Blue Jackets-Carolina Hurricanes-
33224Columbus Blue Jackets-Dallas Stars-
36244Colorado Avalanche-Columbus Blue Jackets-
38259Dallas Stars-Columbus Blue Jackets-
39264Columbus Blue Jackets-Buffalo Sabres-
43292Florida Panthers-Columbus Blue Jackets-
45301Tampa Bay Lightning-Columbus Blue Jackets-
47314Philadelphia Flyers-Columbus Blue Jackets-
50340Columbus Blue Jackets-New York Islanders-
52351Columbus Blue Jackets-Chicago Blackhawks-
53362Columbus Blue Jackets-Toronto Maple Leafs-
55379Columbus Blue Jackets-New Jersey Devils-
57388New Jersey Devils-Columbus Blue Jackets-
58409Detroit Red Wings-Columbus Blue Jackets-
61433Columbus Blue Jackets-Pittsburgh Penguins-
64451Columbus Blue Jackets-Carolina Hurricanes-
66464Columbus Blue Jackets-Nashville Predators-
68485Columbus Blue Jackets-Tampa Bay Lightning-
71499Minnesota Wild-Columbus Blue Jackets-
73523Montreal Canadiens-Columbus Blue Jackets-
74528Columbus Blue Jackets-New York Rangers-
76537Carolina Hurricanes-Columbus Blue Jackets-
78556Seattle Kraken-Columbus Blue Jackets-
80574Los Angeles Kings-Columbus Blue Jackets-
82588Columbus Blue Jackets-Philadelphia Flyers-
83597Montreal Canadiens-Columbus Blue Jackets-
87609Columbus Blue Jackets-Washington Capitals-
88613Edmonton Oilers-Columbus Blue Jackets-
90630Columbus Blue Jackets-Montreal Canadiens-
92643Washington Capitals-Columbus Blue Jackets-
94655Boston Bruins-Columbus Blue Jackets-
95669Columbus Blue Jackets-New York Rangers-
97683New York Rangers-Columbus Blue Jackets-
99702Columbus Blue Jackets-New Jersey Devils-
100705Buffalo Sabres-Columbus Blue Jackets-
104734Columbus Blue Jackets-Calgary Flames-
107755Columbus Blue Jackets-Edmonton Oilers-
108767Columbus Blue Jackets-Vancouver Canucks-
110778Columbus Blue Jackets-Seattle Kraken-
113801Calgary Flames-Columbus Blue Jackets-
115814Columbus Blue Jackets-Ottawa Senators-
116826Anaheim Ducks-Columbus Blue Jackets-
118843Columbus Blue Jackets-Boston Bruins-
120853Winnipeg Jets-Columbus Blue Jackets-
122876Detroit Red Wings-Columbus Blue Jackets-
127895Columbus Blue Jackets-Toronto Maple Leafs-
128898Columbus Blue Jackets-Ottawa Senators-
130905Ottawa Senators-Columbus Blue Jackets-
132916Columbus Blue Jackets-Boston Bruins-
134936Columbus Blue Jackets-Colorado Avalanche-
136947Columbus Blue Jackets-Utah Mammoth-
137960Columbus Blue Jackets-Vegas Golden Knights-
139969Nashville Predators-Columbus Blue Jackets-
141986New York Islanders-Columbus Blue Jackets-
1451014New Jersey Devils-Columbus Blue Jackets-
1461029New York Islanders-Columbus Blue Jackets-
1481037Carolina Hurricanes-Columbus Blue Jackets-
1501050Columbus Blue Jackets-San Jose Sharks-
1521066Columbus Blue Jackets-Los Angeles Kings-
1541082Columbus Blue Jackets-Anaheim Ducks-
1581107Vancouver Canucks-Columbus Blue Jackets-
1601132San Jose Sharks-Columbus Blue Jackets-
1631149Pittsburgh Penguins-Columbus Blue Jackets-
1651161Columbus Blue Jackets-Detroit Red Wings-
1671184Columbus Blue Jackets-Winnipeg Jets-
1691195Columbus Blue Jackets-Pittsburgh Penguins-
1721223Chicago Blackhawks-Columbus Blue Jackets-
1741229St. Louis Blues-Columbus Blue Jackets-
1771254Columbus Blue Jackets-Florida Panthers-
1791269Columbus Blue Jackets-Tampa Bay Lightning-
1811281Columbus Blue Jackets-Washington Capitals-
1841303Washington Capitals-Columbus Blue Jackets-
1861324Philadelphia Flyers-Columbus Blue Jackets-
1881332Columbus Blue Jackets-New York Islanders-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price100553525190
Attendance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
42 0 - 0%0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 104,491,000$ 104,466,000$ 0$ 2,307,500$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
104,491,000$ 0$ 0$ 59 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 189 560,799$ 105,991,011$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
106,990,947$ 42,278,690$ -64,712,257$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
106,798,500$ -23,298,500$ 83,500,000$ 56,798,500$



Depth Chart

Left WingCenterRight Wing
Alexander WennbergAGE:32PO:0OV:80
Charlie CoyleAGE:34PO:0OV:80
Adam FantilliAGE:22PO:0OV:77
Dmitri VoronkovAGE:26PO:0OV:76
Egor ChinakhovAGE:25PO:0OV:76
Cole SillingerAGE:23PO:0OV:75
Jonathan DrouinAGE:31PO:0OV:75
Nino NiederreiterAGE:34PO:0OV:75
Kent JohnsonAGE:24PO:0OV:72
Gavin Brindley (R)AGE:22PO:0OV:71
Andrey KuzmenkoAGE:30PO:0OV:70
Nate Danielson (R)AGE:22PO:0OV:67
Conor Geekie (R)AGE:22PO:0OV:64
Mitchell ChaffeeAGE:28PO:0OV:64
Luca Del Bel Belluz (R)AGE:23PO:0OV:64
Dylan Duke (R)AGE:23PO:0OV:63
Alexander NylanderAGE:28PO:0OV:63
Mikael PyyhtiaAGE:25PO:0OV:63
Jack Williams (R)AGE:24PO:0OV:62
Luca Pinelli (R)AGE:21PO:0OV:62
Ivan Miroshnichenko (R)AGE:22PO:0OV:61
Ivan Ryabkin (R)AGE:19PO:0OV:60
Cameron Lund (R)AGE:22PO:0OV:59
Hunter McKown (R)AGE:24PO:0OV:59
Max McCue (R)AGE:23PO:0OV:56
Ellis Rickwood (R)AGE:24PO:0OV:56
Martin Rysavy (R)AGE:23PO:0OV:55
Kirill Dolzhenkov (R)AGE:22PO:0OV:55
Christian Fitzgerald (R)AGE:24PO:0OV:55
Davis Burnside (R)AGE:23PO:0OV:55
Josh Nadeau (R)AGE:23PO:0OV:54
Alexander WennbergAGE:32PO:0OV:80
Charlie CoyleAGE:34PO:0OV:80
Adam FantilliAGE:22PO:0OV:77
Dmitri VoronkovAGE:26PO:0OV:76
Cole SillingerAGE:23PO:0OV:75
Jonathan DrouinAGE:31PO:0OV:75
Kent JohnsonAGE:24PO:0OV:72
Hendrix LapierreAGE:24PO:0OV:70
Nate Danielson (R)AGE:22PO:0OV:67
Conor Geekie (R)AGE:22PO:0OV:64
Luca Del Bel Belluz (R)AGE:23PO:0OV:64
Dylan Duke (R)AGE:23PO:0OV:63
Alexander NylanderAGE:28PO:0OV:63
Mikael PyyhtiaAGE:25PO:0OV:63
Jack Williams (R)AGE:24PO:0OV:62
Luca Pinelli (R)AGE:21PO:0OV:62
Owen Beck (R)AGE:22PO:0OV:62
Ivan Ryabkin (R)AGE:19PO:0OV:60
Cameron Lund (R)AGE:22PO:0OV:59
Hunter McKown (R)AGE:24PO:0OV:59
Max McCue (R)AGE:23PO:0OV:56
Ellis Rickwood (R)AGE:24PO:0OV:56
Christian Fitzgerald (R)AGE:24PO:0OV:55
Davis Burnside (R)AGE:23PO:0OV:55
Alexander WennbergAGE:32PO:0OV:80
Charlie CoyleAGE:34PO:0OV:80
Adam FantilliAGE:22PO:0OV:77
Dmitri VoronkovAGE:26PO:0OV:76
Egor ChinakhovAGE:25PO:0OV:76
Cole SillingerAGE:23PO:0OV:75
Jonathan DrouinAGE:31PO:0OV:75
Nino NiederreiterAGE:34PO:0OV:75
Kent JohnsonAGE:24PO:0OV:72
Gavin Brindley (R)AGE:22PO:0OV:71
Andrey KuzmenkoAGE:30PO:0OV:70
Nate Danielson (R)AGE:22PO:0OV:67
Conor Geekie (R)AGE:22PO:0OV:64
Mitchell ChaffeeAGE:28PO:0OV:64
Dylan Duke (R)AGE:23PO:0OV:63
Alexander NylanderAGE:28PO:0OV:63
Mikael PyyhtiaAGE:25PO:0OV:63
Jack Williams (R)AGE:24PO:0OV:62
Luca Pinelli (R)AGE:21PO:0OV:62
Ivan Miroshnichenko (R)AGE:22PO:0OV:61
Ivan Ryabkin (R)AGE:19PO:0OV:60
Cameron Lund (R)AGE:22PO:0OV:59
Hunter McKown (R)AGE:24PO:0OV:59
Jordan Dumais (R)AGE:22PO:0OV:57
Max McCue (R)AGE:23PO:0OV:56
Ellis Rickwood (R)AGE:24PO:0OV:56
Martin Rysavy (R)AGE:23PO:0OV:55
Kirill Dolzhenkov (R)AGE:22PO:0OV:55
Christian Fitzgerald (R)AGE:24PO:0OV:55
Davis Burnside (R)AGE:23PO:0OV:55
Josh Nadeau (R)AGE:23PO:0OV:54

Defense #1Defense #2Goalie
Denton Mateychuk (R)AGE:22PO:0OV:76
Nick BlankenburgAGE:28PO:0OV:76
Logan Mailloux (R)AGE:23PO:0OV:74
Ian Moore (R)AGE:24PO:0OV:74
Adam BoqvistAGE:26PO:0OV:68
Dmitri KulikovAGE:36PO:0OV:68
Jake BeanAGE:28PO:0OV:68
Scott MorrowAGE:24PO:0OV:67
Jordan HarrisAGE:26PO:0OV:67
David JiricekAGE:23PO:0OV:67
Adam Engstrom (R)AGE:23PO:0OV:64
Juuso ValimakiAGE:28PO:0OV:62
Guillaume Richard (R)AGE:23PO:0OV:62
Corson Ceulemans (R)AGE:23PO:0OV:60
Jeremie Poirier (R)AGE:24PO:0OV:57
Aidan Hreschuk (R)AGE:23PO:0OV:57
Radim Mrtka (R)AGE:19PO:0OV:57
Ben Dexheimer (R)AGE:24PO:0OV:56
Nikolai Makarov (R)AGE:23PO:0OV:55
Jet GreavesAGE:25PO:0OV:81
Daniil TarasovAGE:27PO:0OV:76
Arvid SoderblomAGE:27PO:0OV:73
William Rousseau (R)AGE:23PO:0OV:58
Nolan Lalonde (R)AGE:22PO:0OV:56
Sergei Ivanov (R)AGE:22PO:0OV:52

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
Adam NovotnyColumbus Blue Jackets00
Andrew StrathmannColumbus Blue Jackets00
Anthony CristoforoColumbus Blue Jackets00
Bode LaylinColumbus Blue Jackets00
Cooper SimpsonColumbus Blue Jackets2025690Link
Cooper WilliamsColumbus Blue Jackets00
Dylan DumontColumbus Blue Jackets00
Gavin McKennaColumbus Blue Jackets00
Ilya KanarskyColumbus Blue Jackets20251970Link
Jacob VandevenColumbus Blue Jackets00
Joel SvenssonColumbus Blue Jackets00
Jonas Lagerberg HoenColumbus Blue Jackets00
Lucas ZajicColumbus Blue Jackets0013.08.2026
Martin PsohlavecColumbus Blue Jackets00
Mason MoeColumbus Blue Jackets20251010Link
Matthew LansingColumbus Blue Jackets20252140Link
Melvin StrahlColumbus Blue Jackets00
Miguel MarquesColumbus Blue Jackets00
Mikhail FyodorovColumbus Blue Jackets20251650Link
Noel FransenColumbus Blue Jackets00
Oiva KeskinenColumbus Blue Jackets00
Pavel MoysevichColumbus Blue Jackets00
Ryan LinColumbus Blue Jackets00
Spencer BowesColumbus Blue Jackets00
Tomas PoletinColumbus Blue Jackets20251330Link
Tyler PeddleColumbus Blue Jackets00
Tynan LawrenceColumbus Blue Jackets00
Victor JohanssonColumbus Blue Jackets0006.07.2025
William WhitelawColumbus Blue Jackets00
Xavier VeilleuxColumbus Blue Jackets0005.10.2024
Yuri IvanovColumbus Blue Jackets00

Draft Picks

Year R1R2R3R4R5R6R7
27
28
29
30
31
Conditional Draft Picks



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


Columbus Blue Jackets Trade History

[23.08.2026 12:32:09] - TRADE : From Columbus Blue Jackets to Chicago Blackhawks : Jake Allen (79).
[23.08.2026 12:32:09] - TRADE : From Chicago Blackhawks to Columbus Blue Jackets : Arvid Soderblom (73), Mitchell Chaffee (64), Y:28-RND:3-FLA.
[21.08.2026 20:21:23] - Christian Fitzgerald was added to Columbus Blue Jackets.
[21.08.2026 20:21:23] - Ellis Rickwood was added to Columbus Blue Jackets.
[21.08.2026 20:21:23] - Davis Burnside was added to Columbus Blue Jackets.
[21.08.2026 20:21:23] - Ben Dexheimer was added to Columbus Blue Jackets.
[21.08.2026 20:20:06] - Christian Fitzgerald was added to Columbus Blue Jackets.
[21.08.2026 20:20:06] - Ellis Rickwood was added to Columbus Blue Jackets.
[21.08.2026 20:20:06] - Davis Burnside was added to Columbus Blue Jackets.
[21.08.2026 20:20:06] - Ben Dexheimer was added to Columbus Blue Jackets.
[21.08.2026 20:17:58] - Christian Fitzgerald was added to Columbus Blue Jackets.
[21.08.2026 20:17:58] - Ellis Rickwood was added to Columbus Blue Jackets.
[21.08.2026 20:17:58] - Davis Burnside was added to Columbus Blue Jackets.
[21.08.2026 20:17:58] - Ben Dexheimer was added to Columbus Blue Jackets.
[18.08.2026 22:05:01] - Josh Nadeau was added to Columbus Blue Jackets.
[18.08.2026 22:05:01] - Juuso Valimaki was added to Columbus Blue Jackets.
[13.08.2026 20:45:44] - TRADE : From Boston Bruins to Columbus Blue Jackets : Lucas Zajic (P), Y:30-RND:3-BOS.
[13.08.2026 20:45:44] - TRADE : From Columbus Blue Jackets to Boston Bruins : Ian Cole (78).
[19.07.2026 12:44:58] - Pavel Cajan was released.
[19.07.2026 12:44:58] - Blake Pietila was released.
[19.07.2026 12:44:58] - Cameron Butler was released.
[19.07.2026 12:44:58] - Stanislav Svozil was released.
[19.07.2026 12:44:58] - Samuel Knazko was released.
[19.07.2026 12:44:58] - Marcus Bjork was released.
[19.07.2026 12:44:58] - Tyler Angle was released.
[19.07.2026 12:44:58] - Trey Fix-Wolansky was released.
[19.07.2026 12:44:58] - Tim Berni was released.
[19.07.2026 12:44:58] - Sean Kuraly was released.



[2026-09-14 11:58:38] Save Roster for Columbus Blue Jackets -
[2026-09-14 12:12:27] Save Lines for Cleveland Monsters -
[2026-09-14 12:05:59] Save Lines for Columbus Blue Jackets -
[11.09.2026 21:18:44] Sergei Ivanov of Columbus Blue Jackets was sent to pro.
[11.09.2026 21:18:44] Nolan Lalonde of Columbus Blue Jackets was sent to pro.



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
1Cole Sillinger15756881441811323433441513.49%20280917.901114257620289347.79%21.0314
2Dmitri Voronkov15939641032510320514336210.77%16265616.71511164700004142.66%00.7823
3Adam Fantilli13042549612388413830213.91%13197515.20418224700026143.04%10.9707
4Andrei Kuzmenko159315384-3033801553179.78%16272617.15516214120245032.29%00.6201
5Kent Johnson105293261-17103417628310.25%12167415.95711184500044129.20%00.7316

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
1Joonas Korpisalo1214061110.8713.5165596538429820730.71435
2Jake Allen44181760.8723.5823294113910850110.64717
3Daniil Tarasov282900.9062.711019204649100100
4Malcolm Subban10000.9232.31260011300000

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
Regular Season
2482234603451243292-4941122102231126137-1141112501220117155-38672434346772389776913214368171572543232970778215413266319.33%3297975.99%51277264748.24%1261270846.57%620128948.10%1889130020526071028510
2582214106725234289-5541131905310124133-94182201415110156-46702344056393387766314218470473869972224764774214793095116.50%2997774.25%01245257648.33%1296260849.69%650134748.26%1939135120076031037511
Total Regular Season1644487091176477581-10482254007541250270-2082194702635227311-84137477839131656176153132274327138514531424115457613541524302063511417.95%62815675.16%52522522348.29%2557531648.10%1270263648.18%382826514060121120651021
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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