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Columbus Blue Jackets
GP: 17 | W: 9 | L: 7 | OTL: 1 | P: 19
GF: 58 | GA: 57 | PP%: 19.67% | PK%: 77.19%
DG: Patrick Labonté | Morale : 50 | Moyenne d’équipe : 73
Prochains matchs #290 vs New York Rangers

Centre de jeu
Columbus Blue Jackets
9-7-1, 19pts
6
FINAL
2 Seattle Kraken
10-6-1, 21pts
Team Stats
W3SéquenceOTL1
4-3-0Fiche domicile4-4-1
5-4-1Fiche visiteur6-2-0
8-1-1Derniers 10 matchs5-4-1
3.41Buts par match 2.94
3.35Buts contre par match 2.88
19.67%Pourcentage en avantage numérique18.33%
77.19%Pourcentage en désavantage numérique78.46%
Edmonton Oilers
13-3-3, 29pts
3
FINAL
4 Columbus Blue Jackets
9-7-1, 19pts
Team Stats
OTL1SéquenceW3
6-2-0Fiche domicile4-3-0
7-1-3Fiche visiteur5-4-1
8-1-1Derniers 10 matchs8-1-1
4.05Buts par match 3.41
3.11Buts contre par match 3.35
19.18%Pourcentage en avantage numérique19.67%
83.08%Pourcentage en désavantage numérique77.19%
New York Rangers
14-3-1, 29pts
Jour 40
Columbus Blue Jackets
9-7-1, 19pts
Statistiques d’équipe
W1SéquenceW3
6-1-1Fiche domicile4-3-0
8-2-0Fiche visiteur5-4-1
8-2-010 derniers matchs8-1-1
4.22Buts par match 3.41
3.17Buts contre par match 3.41
27.78%Pourcentage en avantage numérique19.67%
84.62%Pourcentage en désavantage numérique77.19%
Montreal Canadiens
7-8-2, 16pts
Jour 42
Columbus Blue Jackets
9-7-1, 19pts
Statistiques d’équipe
SOL1SéquenceW3
5-3-1Fiche domicile4-3-0
2-5-1Fiche visiteur5-4-1
4-4-210 derniers matchs8-1-1
3.88Buts par match 3.41
4.12Buts contre par match 3.41
21.54%Pourcentage en avantage numérique19.67%
81.40%Pourcentage en désavantage numérique77.19%
Columbus Blue Jackets
9-7-1, 19pts
Jour 43
Winnipeg Jets
7-8-2, 16pts
Statistiques d’équipe
W3SéquenceW2
4-3-0Fiche domicile2-5-1
5-4-1Fiche visiteur5-3-1
8-1-110 derniers matchs3-5-2
3.41Buts par match 3.00
3.35Buts contre par match 3.00
19.67%Pourcentage en avantage numérique28.30%
77.19%Pourcentage en désavantage numérique82.46%
Meneurs d'équipe
Timo MeierButs
Timo Meier
8
Jake McCabePasses
Jake McCabe
12
Victor HedmanPoints
Victor Hedman
18
Chris KreiderPlus/Moins
Chris Kreider
9
Dustin WolfVictoires
Dustin Wolf
6
Joonas KorpisaloPourcentage d’arrêts
Joonas Korpisalo
0.902

Statistiques d’équipe
Buts pour
58
3.41 GFG
Tirs pour
562
33.06 Avg
Pourcentage en avantage numérique
19.7%
12 GF
Début de zone offensive
40.7%
Buts contre
57
3.35 GAA
Tirs contre
546
32.12 Avg
Pourcentage en désavantage numérique
77.2%%
13 GA
Début de la zone défensive
42.5%
Informations de l'équipe

Directeur généralPatrick Labonté
EntraîneurSean Avery
DivisionMetro Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomNationwide Arena
Capacité19,000
Assistance18,378
Billets de saison17,670


Informations de la formation

Équipe Pro23
Équipe Mineure23
Limite contact 46 / 60
Espoirs9


Plafond salarial

Cap Salarial de la Saison estimé85,089,531$
Plafond salarial disponible10,410,469$
Valeur du plafond salarial spécial5,821,429$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour12,561,107$
Dépenses annuelles à ce jour15,693,255$
Revenus de la saison estimés61,011,091$
Dépenses de la saison estimées63,579,670$
Compte bancaire actuel20,037,974$
Compte bancaire projeté28,136,364$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jean-Gabriel PageauX100.008045908575889382907874858088780508003315,000,000$
2Tomas HertlX100.007443867685889086877984748287770508003258,137,500$
3Chris KreiderXX100.007141837687889185507385758288840507903426,500,000$
4Timo MeierXXX100.007861697685888889517984728382720507902958,800,000$
5Chandler StephensonX98.006943857780899083808275787884740507803156,250,000$
6Brandon SaadX100.006642937583869482507676717889790507703312,000,000$
7Jeff SkinnerXXX100.007141817677849585597579708090800507703313,000,000$
8Mathieu OlivierXX100.008690587486848478507273757573630507402853,000,000$
9Mark KastelicXXX100.008988597390808072836766727063530507102631,566,667$
10Alex Barre-BouletXX100.00624370736373696862656366686452050660281775,000$
11Jonathan LekkerimakiX97.00604074696975626440616261655150050630212918,333$
12Arttu HyryX100.00644168626463626356616164625150050620241870,000$
13Victor HedmanX97.006742757592919492408882868391900508303448,000,000$
14Brady SkjeiX98.007041738083909087407880838284740508003157,000,000$
15Jake McCabeX98.007463707982929078407767907487770508003254,513,102$
16Brenden DillonX98.007878657486879475407467857289790507803524,000,000$
17Nolan AllanX100.00684177717576676640636070665250050670221825,000$
18Brandon ScanlinX100.00634468637067666340535962625450050620261775,000$
Rayé
1Fedor SvechkovX100.00654080727475666959666565695250050660221925,000$
2Helge GransX100.00644368656864636340575766615150050620232787,500$
Équipe Mineure
1Fabian LysellX100.00614366716162606444645762645050050620221863,333$
2Danil GushchinX99.00544270676064636745646351665150050610231775,000$
3Ozzy WiesblattX99.00615358696264626143615661625150050610232775,000$
4Rodrigo AbolsX100.00644074657570606272585860615150050610291800,000$
5Tim WasheX100.00564069667870596243595959625150050610242812,500$
6Jan MysakX100.00574173656264626361595853625150050600231775,000$
7Lane PedersonX100.00594467656467636161575657616050050600281775,000$
8Martin ChromiakX100.00604172666364626444615955635050050600231775,000$
9Gleb TrikozovX100.00614066606255535640545455575050050560212862,500$
10Noel GunlerXX100.00554261605860585742555452575150050560241813,750$
11Keaton MiddletonX99.00706462648676726740605970636456050680272775,000$
12Kevin ConnautonX100.00565260636371716340575664617366050630351775,000$
13Nikita NovikovX100.00694464656962596340605669615050050630221867,500$
14William WallinderX100.00634173656663626240605463605050050620231925,000$
15Ryan MastX100.00684170607260575640525165565050050600221830,556$
16Hunter DrewX100.006062516466666462425757566154500505902700$
17Jack MillarX100.006641685967636260405753655751500506102400$
18Garrett PykeX100.005940676262626057405453605752500505902600$
19Tyler InamotoX100.006040666464626053405150635654500505902600$
20Filip KralX100.005342636060616059405754565752500505802600$
MOYENNE D’ÉQUIPE99.5866487069727371695065636767635905067
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Joonas Korpisalo100.00838888798884788182868084770507703134,000,000$
2Cal Petersen100.0075707262706971686972666457050640311775,000$
Rayé
1Dustin Wolf93.0089818370868685868586805852050760245850,000$
Équipe Mineure
1Garin Bjorklund100.0066575760626363636362545150050570231775,000$
2Clay Stevenson100.0073656966707072707171585450050640262775,000$
3Ethan Haider100.00595757645957565458595451500505402400$
MOYENNE D’ÉQUIPE98.837470716773727170717365605605065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sean Avery1111111CAN4551$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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
1Victor HedmanColumbus Blue JacketsD1771118-4100182643122616.28%3441924.664152347000244010%000000.8600000012
2Chandler StephensonColumbus Blue JacketsC17411154008434812478.33%435420.830336440001450147.43%48700000.8500000101
3Chris KreiderColumbus Blue JacketsLW/RW17781590041942153516.67%331018.28033950000060071.43%2100000.9700000013
4Mathieu OlivierColumbus Blue JacketsLW/RW177815720049173163022.58%030417.932241050000002154.55%2200010.9800000120
5Timo MeierColumbus Blue JacketsC/LW/RW178715-380472174184710.81%433919.990116490001184039.13%2300000.8800000311
6Jake McCabeColumbus Blue JacketsD1711213214026273111233.23%2336421.461341452000146000%000000.7100000000
7Jean-Gabriel PageauColumbus Blue JacketsC174913-52022255716347.02%221912.911341448000040055.52%29900001.1800000010
8Tomas HertlColumbus Blue JacketsC176612040122854114311.11%228016.5000016000051057.65%36600000.8600000120
9Brady SkjeiColumbus Blue JacketsD172911-212044274311284.65%2842024.712462447000046000%000000.5200000000
10Brenden DillonColumbus Blue JacketsD1727921403820224229.09%3036121.252131452000043000%000000.5000000001
11Brandon SaadColumbus Blue JacketsLW17156-2002112210174.55%017910.56000000000180028.57%700000.6700000001
12Jeff SkinnerColumbus Blue JacketsC/LW/RW17325-32015920102215.00%017210.1700006000000136.36%1100000.5800000000
13Nolan AllanColumbus Blue JacketsD17145212018971414.29%2624714.5500000000015100%000000.4000000101
14Brandon ScanlinColumbus Blue JacketsD1721332022584325.00%1023113.620000000000000%000000.2600000100
15Alex Barre-BouletColumbus Blue JacketsC/RW171011207516846.25%31629.5700000000031009.09%1100000.1200000000
16Fedor SvechkovColumbus Blue JacketsC120110004135390%012310.33000000000310044.72%16100000.1600000000
17Jonathan LekkerimakiColumbus Blue JacketsRW10011640616280%019819.830001300000100021.43%1400000.1000000000
18Mark KastelicColumbus Blue JacketsC/LW/RW1401111002211123140%014110.13000010000230061.54%5200000.1400000000
19Arttu HyryColumbus Blue JacketsRW6000-100153030%0447.4500000000000050.00%60000000000000
Statistiques d’équipe totales ou en moyenne2975610315917116036532254415741910.29%169487716.4212213312248900053918451.42%148000010.65000008810
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Dustin WolfColumbus Blue Jackets146510.8933.55727414340300000142110
2Joonas KorpisaloColumbus Blue Jackets83200.9022.85295001414300000314000
Statistiques d’équipe totales ou en moyenne229710.8963.351022415754600001716110


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex Barre-BouletColumbus Blue JacketsC/RW281997-05-21CANNo181 Lbs5 ft10NoNoAssign ManuallyNoYes12025-07-04FalseFalsePro & Farm775,000$621,615$775,000$621,615$No---------------------------
Arttu HyryColumbus Blue JacketsRW242001-04-06FINNo209 Lbs6 ft2NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm870,000$697,812$870,000$697,812$No---------------------------
Brady SkjeiColumbus Blue JacketsD311994-03-26USANo210 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm7,000,000$5,614,583$7,000,000$5,614,583$No7,000,000$7,000,000$7,000,000$7,000,000$-----7,000,000$7,000,000$7,000,000$7,000,000$-----NoNoNoNo-----Lien NHL
Brandon SaadColumbus Blue JacketsLW331992-10-27USANo215 Lbs6 ft1NoNoAssign ManuallyNoNo12025-06-29FalseFalsePro & Farm2,000,000$1,604,167$2,000,000$1,604,167$No---------------------------Lien NHL
Brandon ScanlinColumbus Blue JacketsD261999-06-02CANNo214 Lbs6 ft4NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$621,615$775,000$621,615$No---------------------------Lien NHL
Brenden DillonColumbus Blue JacketsD351990-11-13CANNo225 Lbs6 ft4NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm4,000,000$3,208,333$4,000,000$3,208,333$No4,000,000$--------4,000,000$--------No--------Lien NHL
Cal PetersenColumbus Blue JacketsG311994-10-19USANo185 Lbs6 ft1NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$621,615$775,000$621,615$No---------------------------Lien NHL
Chandler StephensonColumbus Blue JacketsC311994-04-22CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm6,250,000$5,013,021$6,250,000$5,013,021$No6,250,000$6,250,000$6,250,000$6,250,000$-----6,250,000$6,250,000$6,250,000$6,250,000$-----NoNoNoNo-----Lien NHL
Chris KreiderColumbus Blue JacketsLW/RW341991-04-30USANo230 Lbs6 ft3NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm6,500,000$5,213,542$6,500,000$5,213,542$No6,500,000$--------6,500,000$--------No--------Lien NHL
Dustin WolfColumbus Blue JacketsG242001-04-16USANo166 Lbs6 ft0NoNoAssign ManuallyNoNo52025-09-15FalseFalsePro & Farm850,000$681,771$850,000$681,771$No7,500,000$7,500,000$7,500,000$7,500,000$-----7,500,000$7,500,000$7,500,000$7,500,000$-----NoNoNoNo-----Lien NHL
Fedor SvechkovColumbus Blue JacketsC222003-04-05RUSNo187 Lbs6 ft0NoNoTrade2025-09-27NoNo12025-05-26FalseFalsePro & Farm925,000$741,927$925,000$741,927$No---------------------------Lien NHL
Helge GransColumbus Blue JacketsD232002-05-10SWENo205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm787,500$631,641$787,500$631,641$No787,500$--------787,500$--------No--------Lien NHL
Jake McCabeColumbus Blue JacketsD321993-10-12USANo212 Lbs6 ft1NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm4,513,102$3,619,884$4,513,102$3,619,884$No4,513,102$4,513,102$4,513,102$4,513,102$-----4,513,102$4,513,102$4,513,102$4,513,102$-----NoNoNoNo-----Lien NHL
Jean-Gabriel PageauColumbus Blue JacketsC331992-11-11CANNo195 Lbs5 ft11NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm5,000,000$4,010,417$5,000,000$4,010,417$No---------------------------Lien NHL
Jeff SkinnerColumbus Blue JacketsC/LW/RW331992-05-16CANNo200 Lbs5 ft11NoNoAssign ManuallyNoNo12025-07-22FalseFalsePro & Farm3,000,000$2,406,250$3,000,000$2,406,250$No---------------------------Lien NHL
Jonathan LekkerimakiColumbus Blue JacketsRW212004-07-24SWENo172 Lbs5 ft11NoNoTrade2025-10-24NoNo22025-05-26FalseFalsePro & Farm918,333$736,580$918,333$736,580$No918,333$--------918,333$--------No--------
Joonas KorpisaloColumbus Blue JacketsG311994-04-28FINNo199 Lbs6 ft3NoNoAssign ManuallyNoYes32025-05-26FalseFalsePro & Farm4,000,000$3,208,333$4,000,000$3,208,333$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Lien NHL
Mark KastelicColumbus Blue JacketsC/LW/RW261999-03-11USANo227 Lbs6 ft4NoNoAssign ManuallyNoNo32025-06-29FalseFalsePro & Farm1,566,667$1,256,597$1,566,667$1,256,597$No1,566,667$1,566,667$-------1,566,667$1,566,667$-------NoNo-------Lien NHL
Mathieu OlivierColumbus Blue JacketsLW/RW281997-02-11USANo226 Lbs6 ft1NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm3,000,000$2,406,250$3,000,000$2,406,250$No3,000,000$3,000,000$3,000,000$3,000,000$-----3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----Lien NHL
Nolan AllanColumbus Blue JacketsD222003-04-28CANNo195 Lbs6 ft2NoNoTrade2025-09-20NoNo12025-05-26FalseFalsePro & Farm825,000$661,719$825,000$661,719$No---------------------------Lien NHL
Timo MeierColumbus Blue JacketsC/LW/RW291996-10-08CHENo220 Lbs6 ft1NoNoTrade2025-09-20NoNo52025-05-26FalseFalsePro & Farm8,800,000$7,058,333$8,800,000$7,058,333$No8,800,000$8,800,000$8,800,000$8,800,000$-----8,800,000$8,800,000$8,800,000$8,800,000$-----NoNoNoNo-----Lien NHL
Tomas HertlColumbus Blue JacketsC321993-11-12CZENo220 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,137,500$6,526,953$8,137,500$6,526,953$No8,137,500$8,137,500$8,137,500$8,137,500$-----8,137,500$8,137,500$8,137,500$8,137,500$-----NoNoNoNo-----Lien NHL
Victor HedmanColumbus Blue JacketsD341990-12-18SWENo245 Lbs6 ft7NoNoAssign ManuallyNoNo42025-07-03FalseFalsePro & Farm8,000,000$6,416,667$8,000,000$6,416,667$No8,000,000$8,000,000$8,000,000$------8,000,000$8,000,000$8,000,000$------NoNoNo------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.83206 Lbs6 ft22.703,446,439$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
79,268,102$70,973,102$58,767,269$53,200,602$45,200,602$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timo MeierTomas HertlJonathan Lekkerimaki34014
2Chris KreiderChandler StephensonMathieu Olivier31212
3Brandon SaadJean-Gabriel PageauJeff Skinner19131
4Alex Barre-BouletMark KastelicArttu Hyry16311
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanBrady Skjei34122
2Jake McCabeBrenden Dillon31032
3Brandon ScanlinNolan Allan25221
4Victor HedmanBrady Skjei10014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timo MeierChandler StephensonJonathan Lekkerimaki50014
2Chris KreiderJean-Gabriel PageauMathieu Olivier50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanBrady Skjei50113
2Jake McCabeBrenden Dillon50113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mark KastelicBrandon Saad50131
2Chandler StephensonJonathan Lekkerimaki50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanBrady Skjei50131
2Jake McCabeBrenden Dillon50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Barre-Boulet50140Victor HedmanBrady Skjei50140
2Mark Kastelic50140Jake McCabeBrenden Dillon50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chandler StephensonMathieu Olivier50122
2Jean-Gabriel PageauJonathan Lekkerimaki50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanBrady Skjei50122
2Jake McCabeBrenden Dillon50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Timo MeierChandler StephensonChris KreiderBrandon ScanlinJake McCabe
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mathieu OlivierJeff SkinnerArttu HyryBrenden DillonBrady Skjei
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chandler Stephenson, Jeff Skinner, Brandon SaadChandler Stephenson, Jeff SkinnerChandler Stephenson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake McCabe, Brady Skjei, Nolan AllanVictor HedmanNolan Allan, Jake McCabe
Tirs de pénalité
Jean-Gabriel Pageau, Tomas Hertl, Timo Meier, Chris Kreider, Chandler Stephenson
Gardien
#1 : Cal Petersen, #2 : Joonas Korpisalo, #3 : 0
Lignes d’attaque personnalisées en prolongation
Jean-Gabriel Pageau, Tomas Hertl, Timo Meier, Chris Kreider, Chandler Stephenson, Jeff Skinner, Brandon Saad, Jonathan Lekkerimaki, Mathieu Olivier, Alex Barre-Boulet
Lignes de défense personnalisées en prolongation
Victor Hedman, Brady Skjei, Jake McCabe, Brenden Dillon, Nolan Allan


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe 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
1Buffalo Sabres1000010023-1000000000001000010023-110.500246001100237790286421300.00%20100.00%030061149.10%33663852.66%13725154.58%2315228147
2Calgary Flames11000000321000000000001100000032121.000358002100279117021114306116.67%10100.00%030061149.10%33663852.66%13725154.58%2415217137
3Colorado Avalanche11000000202110000002020000000000021.0002350111002813780229616000%30100.00%030061149.10%33663852.66%13725154.58%2316246115
4Dallas Stars1010000036-3000000000001010000036-300.0003690020102589803581213100.00%6183.33%030061149.10%33663852.66%13725154.58%2114257135
5Edmonton Oilers21001000743100010004311100000031241.0007121900132174252024577312054500.00%8187.50%030061149.10%33663852.66%13725154.58%473352142311
6Minnesota Wild1010000046-2000000000001010000046-200.000471100121027891002710421000%20100.00%030061149.10%33663852.66%13725154.58%2215256126
7Nashville Predators1010000034-1000000000001010000034-100.00034700210044102113027126167114.29%30100.00%030061149.10%33663852.66%13725154.58%2618207136
8New Jersey Devils1010000024-21010000024-20000000000000.000246000110281051302672164250.00%110.00%030061149.10%33663852.66%13725154.58%2518236116
9New York Islanders11000000532000000000001100000053221.00059140031103510916031116206233.33%3166.67%030061149.10%33663852.66%13725154.58%2315238126
10Pittsburgh Penguins10001000431000000000001000100043121.000471100102137121311141131019000%5260.00%030061149.10%33663852.66%13725154.58%2113267136
11Seattle Kraken11000000624000000000001100000062421.0006915002220351511904518102122100.00%50100.00%030061149.10%33663852.66%13725154.58%1913297105
12St. Louis Blues11000000431110000004310000000000021.000481200112034101212031410233133.33%5260.00%030061149.10%33663852.66%13725154.58%2417238116
13Tampa Bay Lightning1010000012-11010000012-10000000000000.000123001000381512110184219900.00%110.00%030061149.10%33663852.66%13725154.58%2719187137
14Toronto Maple Leafs11000000532110000005320000000000021.000510150021204622915044108335120.00%4175.00%030061149.10%33663852.66%13725154.58%2518226116
15Vancouver Canucks1010000047-3000000000001010000047-300.000481200211033816903158196116.67%4250.00%030061149.10%33663852.66%13725154.58%2518217136
16Washington Capitals1010000035-21010000035-20000000000000.000369001110286814042108304125.00%4175.00%030061149.10%33663852.66%13725154.58%2215267115
Total17770210058571733010002120110440110037370190.559581041620123171625621881791896546169120371611219.67%571377.19%030061149.10%33663852.66%13725154.58%404278409125211105
_Since Last GM Reset17770210058571733010002120110440110037370190.559581041620123171625621881791896546169120371611219.67%571377.19%030061149.10%33663852.66%13725154.58%404278409125211105
_Vs Conference723011002223-1413000001114-331001100119270.5002242640095712358263891230614015831619.35%20765.00%030061149.10%33663852.66%13725154.58%169116164528845
_Vs Division412010001415-12020000059-42100100096340.500142640005351128383554114041268514535.71%13561.54%030061149.10%33663852.66%13725154.58%926399304924

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1719W35810416256254616912037101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
177721005857
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73310002120
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
104411003737
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
611219.67%571377.19%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
18817918962317162
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
30061149.10%33663852.66%13725154.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
404278409125211105


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
316Columbus Blue Jackets3Nashville Predators4LSommaire du match
533Columbus Blue Jackets4Minnesota Wild6LSommaire du match
745New Jersey Devils4Columbus Blue Jackets2LSommaire du match
1067Colorado Avalanche0Columbus Blue Jackets2WSommaire du match
1282Tampa Bay Lightning2Columbus Blue Jackets1LSommaire du match
15106Columbus Blue Jackets3Dallas Stars6LSommaire du match
18125Washington Capitals5Columbus Blue Jackets3LSommaire du match
19134Columbus Blue Jackets4Pittsburgh Penguins3WXSommaire du match
22152Columbus Blue Jackets2Buffalo Sabres3LXSommaire du match
23166Toronto Maple Leafs3Columbus Blue Jackets5WSommaire du match
26189St. Louis Blues3Columbus Blue Jackets4WSommaire du match
27195Columbus Blue Jackets5New York Islanders3WSommaire du match
30215Columbus Blue Jackets3Calgary Flames2WSommaire du match
33241Columbus Blue Jackets4Vancouver Canucks7LSommaire du match
35254Columbus Blue Jackets3Edmonton Oilers1WSommaire du match
36264Columbus Blue Jackets6Seattle Kraken2WSommaire du match
38274Edmonton Oilers3Columbus Blue Jackets4WXSommaire du match
40290New York Rangers-Columbus Blue Jackets-
42305Montreal Canadiens-Columbus Blue Jackets-
43311Columbus Blue Jackets-Winnipeg Jets-
45319Columbus Blue Jackets-Toronto Maple Leafs-
47335Columbus Blue Jackets-Detroit Red Wings-
49356Columbus Blue Jackets-Washington Capitals-
51369Toronto Maple Leafs-Columbus Blue Jackets-
53388Pittsburgh Penguins-Columbus Blue Jackets-
56406Columbus Blue Jackets-New Jersey Devils-
59432Detroit Red Wings-Columbus Blue Jackets-
61442Columbus Blue Jackets-Florida Panthers-
62459Columbus Blue Jackets-Washington Capitals-
64471Columbus Blue Jackets-Carolina Hurricanes-
66486Ottawa Senators-Columbus Blue Jackets-
68502Vegas Golden Knights-Columbus Blue Jackets-
71525Anaheim Ducks-Columbus Blue Jackets-
73540Minnesota Wild-Columbus Blue Jackets-
75560Columbus Blue Jackets-Anaheim Ducks-
77574Columbus Blue Jackets-Los Angeles Kings-
83603New York Islanders-Columbus Blue Jackets-
84606Columbus Blue Jackets-Ottawa Senators-
86627New Jersey Devils-Columbus Blue Jackets-
89646Buffalo Sabres-Columbus Blue Jackets-
90658Pittsburgh Penguins-Columbus Blue Jackets-
92675Columbus Blue Jackets-San Jose Sharks-
94692Columbus Blue Jackets-Vegas Golden Knights-
96699Columbus Blue Jackets-Colorado Avalanche-
97714Columbus Blue Jackets-Utah Mammoth-
99728Calgary Flames-Columbus Blue Jackets-
101743Vancouver Canucks-Columbus Blue Jackets-
103760Columbus Blue Jackets-Pittsburgh Penguins-
106782Ottawa Senators-Columbus Blue Jackets-
108797Dallas Stars-Columbus Blue Jackets-
110814Tampa Bay Lightning-Columbus Blue Jackets-
112828Los Angeles Kings-Columbus Blue Jackets-
114840Philadelphia Flyers-Columbus Blue Jackets-
116858Columbus Blue Jackets-Chicago Blackhawks-
117868Columbus Blue Jackets-St. Louis Blues-
120887Columbus Blue Jackets-New Jersey Devils-
121894Chicago Blackhawks-Columbus Blue Jackets-
143918Columbus Blue Jackets-Boston Bruins-
145937New York Islanders-Columbus Blue Jackets-
147953Columbus Blue Jackets-New York Rangers-
148963Nashville Predators-Columbus Blue Jackets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150978Florida Panthers-Columbus Blue Jackets-
152995Utah Mammoth-Columbus Blue Jackets-
1551015Columbus Blue Jackets-Tampa Bay Lightning-
1571031Columbus Blue Jackets-Florida Panthers-
1591052Columbus Blue Jackets-Philadelphia Flyers-
1621070Carolina Hurricanes-Columbus Blue Jackets-
1641086New York Rangers-Columbus Blue Jackets-
1661104Seattle Kraken-Columbus Blue Jackets-
1671114Columbus Blue Jackets-New York Islanders-
1691125Columbus Blue Jackets-Philadelphia Flyers-
1711137Columbus Blue Jackets-Montreal Canadiens-
1731158San Jose Sharks-Columbus Blue Jackets-
1741170Boston Bruins-Columbus Blue Jackets-
1761185Carolina Hurricanes-Columbus Blue Jackets-
1781197Columbus Blue Jackets-Carolina Hurricanes-
1801215Winnipeg Jets-Columbus Blue Jackets-
1831235Columbus Blue Jackets-Detroit Red Wings-
1851247Columbus Blue Jackets-Buffalo Sabres-
1871271Columbus Blue Jackets-Montreal Canadiens-
1881278Boston Bruins-Columbus Blue Jackets-
1901295Washington Capitals-Columbus Blue Jackets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance40,38734,02013,68027,09313,463
Attendance PCT96.16%97.20%97.71%96.76%96.16%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 18378 - 96.72% 1,794,444$12,561,107$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
15,693,255$ 79,268,102$ 79,268,102$ 1$0$ 5,821,429$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
79,268,102$ 15,652,456$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
61,011,091$ 154 412,855$ 63,579,670$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
64,659,422$ 20,037,974$ 28,136,364$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
85,089,531$ 10,410,469$ 95,500,000$ 14,489,531$



Charte de profondeur

Ailier gaucheCentreAilier droit
Chris KreiderAGE:34PO:0OV:79
Timo MeierAGE:29PO:0OV:79
Brandon SaadAGE:33PO:0OV:77
Jeff SkinnerAGE:33PO:0OV:77
Mathieu OlivierAGE:28PO:0OV:74
Mark KastelicAGE:26PO:0OV:71
Danil GushchinAGE:23PO:0OV:61
Gleb TrikozovAGE:21PO:0OV:56
Noel GunlerAGE:24PO:0OV:56
Jean-Gabriel PageauAGE:33PO:0OV:80
Tomas HertlAGE:32PO:0OV:80
Timo MeierAGE:29PO:0OV:79
Chandler StephensonAGE:31PO:0OV:78
Jeff SkinnerAGE:33PO:0OV:77
Mark KastelicAGE:26PO:0OV:71
Alex Barre-BouletAGE:28PO:0OV:66
Fedor SvechkovAGE:22PO:0OV:66
Rodrigo AbolsAGE:29PO:0OV:61
Tim WasheAGE:24PO:0OV:61
Jan MysakAGE:23PO:0OV:60
Lane PedersonAGE:28PO:0OV:60
Chris KreiderAGE:34PO:0OV:79
Timo MeierAGE:29PO:0OV:79
Jeff SkinnerAGE:33PO:0OV:77
Mathieu OlivierAGE:28PO:0OV:74
Mark KastelicAGE:26PO:0OV:71
Alex Barre-BouletAGE:28PO:0OV:66
Jonathan LekkerimakiAGE:21PO:0OV:63
Arttu HyryAGE:24PO:0OV:62
Fabian LysellAGE:22PO:0OV:62
Ozzy WiesblattAGE:23PO:0OV:61
Martin ChromiakAGE:23PO:0OV:60
Hunter DrewAGE:27PO:0OV:59
Noel GunlerAGE:24PO:0OV:56

Défense #1Défense #2Gardien
Victor HedmanAGE:34PO:0OV:83
Brady SkjeiAGE:31PO:0OV:80
Jake McCabeAGE:32PO:0OV:80
Brenden DillonAGE:35PO:0OV:78
Keaton MiddletonAGE:27PO:0OV:68
Nolan AllanAGE:22PO:0OV:67
Kevin ConnautonAGE:35PO:0OV:63
Nikita NovikovAGE:22PO:0OV:63
Brandon ScanlinAGE:26PO:0OV:62
Helge GransAGE:23PO:0OV:62
William WallinderAGE:23PO:0OV:62
Jack MillarAGE:24PO:0OV:61
Ryan MastAGE:22PO:0OV:60
Garrett PykeAGE:26PO:0OV:59
Tyler InamotoAGE:26PO:0OV:59
Filip KralAGE:26PO:0OV:58
Joonas KorpisaloAGE:31PO:0OV:77
Dustin WolfAGE:24PO:0OV:76
Cal PetersenAGE:31PO:0OV:64
Clay StevensonAGE:26PO:0OV:64
Garin BjorklundAGE:23PO:0OV:57
Ethan HaiderAGE:24PO:0OV:54

Espoirs

Astuces sur les filtres (anglais seulement)
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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Andrew CristallColumbus Blue Jackets202514Fantasy DraftLien
Easton CowanColumbus Blue Jackets202527Fantasy Draft2025-09-27Lien
Kristian EppersonColumbus Blue Jackets2025142Fantasy DraftLien
Luke OsburnColumbus Blue Jackets2025115Fantasy DraftLien
Mathieu CatafordColumbus Blue Jackets2025179Fantasy DraftLien
Mikhail GulyayevColumbus Blue Jackets202578Fantasy DraftLien
Petteri RimpinenColumbus Blue Jackets2025270Fantasy DraftLien
Ryerson LeendersColumbus Blue Jackets2025206Fantasy DraftLien
Theo StockseliusColumbus Blue Jackets2025243Fantasy DraftLien

Choix au repêchage

Année R1R2R3R4R5R6R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Columbus Blue Jackets Historique de transactions

[2025-11-13 08:04:16] New Record for Team's Most Penalties Minutes (16) in 1 Game for Columbus Blue Jackets!
[2025-11-11 07:58:40] New Record for Team's Most Shots Blocked (18) in 1 Game for Columbus Blue Jackets!
[2025-11-11 07:58:40] New Record for Team's Most Goals (6) in 1 Game for Columbus Blue Jackets!
[2025-10-29 08:06:07] New Record for Team's Most Hits (33) in 1 Game for Columbus Blue Jackets!
[2025-10-29 08:06:07] New Record for Team's Most Shots (46) in 1 Game for Columbus Blue Jackets!
[2025-10-29 08:06:07] New Record for Team's Most Points (15) in 1 Game for Columbus Blue Jackets!
[2025-10-29 08:06:07] New Record for Team's Most Assists (10) in 1 Game for Columbus Blue Jackets!
[2025-10-29 08:06:07] New Record for Team's Most Goals (5) in 1 Game for Columbus Blue Jackets!
[2025-10-25 10:00:37] New Record for Team's Most Shots Blocked (13) in 1 Game for Columbus Blue Jackets!
[2025-10-24 08:05:52] New Record for Team's Most Hits (30) in 1 Game for Columbus Blue Jackets!
[2025-10-24 08:05:28] TRADE : From Columbus Blue Jackets to New York Islanders : Matvei Michkov (72).
[2025-10-24 08:05:28] TRADE : From New York Islanders to Columbus Blue Jackets : Jonathan Lekkerimaki (63), Y:2026-RND:1-COL, Y:2026-RND:2-BOS.
[2025-10-21 08:19:05] New Record for Team's Most Penalties Minutes (12) in 1 Game for Columbus Blue Jackets!
[2025-10-13 09:30:24] TRADE : From Calgary Flames to Columbus Blue Jackets : Y:2026-RND:4-PIT, Y:2027-RND:5-CGY.
[2025-10-13 09:30:24] TRADE : From Columbus Blue Jackets to Calgary Flames : Nic Dowd (78).
[2025-10-10 08:04:49] New Record for Team's Most Hits (21) in 1 Game for Columbus Blue Jackets!
[2025-10-10 08:04:49] New Record for Team's Most Points (11) in 1 Game for Columbus Blue Jackets!
[2025-10-10 08:04:49] New Record for Team's Most Assists (7) in 1 Game for Columbus Blue Jackets!
[2025-10-10 08:04:49] New Record for Team's Most Goals (4) in 1 Game for Columbus Blue Jackets!
[2025-10-09 08:02:58] New Record for Team's Most Hits (16) in 1 Game for Columbus Blue Jackets!
[2025-10-09 08:02:58] New Record for Team's Most Penalties Minutes (6) in 1 Game for Columbus Blue Jackets!
[2025-10-09 08:02:58] New Record for Team's Most Shots Blocked (12) in 1 Game for Columbus Blue Jackets!
[2025-10-09 08:02:58] New Record for Team's Most Shots (44) in 1 Game for Columbus Blue Jackets!
[2025-10-09 08:02:58] New Record for Team's Most Points (7) in 1 Game for Columbus Blue Jackets!
[2025-10-09 08:02:58] New Record for Team's Most Assists (4) in 1 Game for Columbus Blue Jackets!
[2025-10-09 08:02:58] New Record for Team's Most Goals (3) in 1 Game for Columbus Blue Jackets!
[2025-10-09 08:02:29] TRADE : From Columbus Blue Jackets to New York Islanders : Drew Doughty (78).
[2025-10-09 08:02:29] TRADE : From New York Islanders to Columbus Blue Jackets : Fabian Lysell (62), Y:2027-RND:2-NYI.
[2025-09-27 21:36:34] TRADE : From Boston Bruins to Columbus Blue Jackets : Fedor Svechkov (66), Easton Cowan (P), Y:2026-RND:1-BOS.
[2025-09-27 21:36:34] TRADE : From Columbus Blue Jackets to Boston Bruins : Trevor Zegras (73), Y:2027-RND:2-CBJ.
[2025-09-20 05:35:03] TRADE : From Columbus Blue Jackets to New York Rangers : Brent Burns (79).
[2025-09-20 05:35:03] TRADE : From New York Rangers to Columbus Blue Jackets : Nolan Allan (67), Y:2026-RND:5-NYR.
[2025-09-20 05:34:54] TRADE : From Columbus Blue Jackets to Carolina Hurricanes : Artemi Panarin (82).
[2025-09-20 05:34:54] TRADE : From Carolina Hurricanes to Columbus Blue Jackets : Timo Meier (79), Y:2027-RND:3-CAR.
[2025-09-19 15:17:47] Robert Bortuzzo was released.
[2025-09-19 15:17:47] Kyle Criscuolo was released.
[2025-09-19 15:17:47] Kieffer Bellows was released.
[2025-09-19 15:17:47] Alexander Nylander was released.
[2025-09-19 15:13:58] General Manager Change : Columbus Blue Jackets hired general manager Patrick Labonté
[2025-09-19 15:13:58] General Manager Change : Columbus Blue Jackets fired general manager Guillaume Paré
[2025-09-10 23:12:25] Cleveland Monsters hired Gino Odjick for $1 for 5 year(s).
[2025-09-10 23:12:19] Columbus Blue Jackets hired Sean Avery for $1 for 5 year(s).
[2025-07-26 09:33:40] TRADE : From Utah Mammoth to Columbus Blue Jackets : Drew Doughty (78).
[2025-07-26 09:33:40] TRADE : From Columbus Blue Jackets to Utah Mammoth : Mateo Nobert (P), Tyson Jugnaught (P).



Dustin Wolf est dehors pour 2 jours à cause de Exhaustion.



Columbus Blue Jackets Leaders statistiques des joueurs (saison régulière)

# Nom du joueur 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 Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Columbus Blue Jackets Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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 Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur 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 Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA