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Columbus Blue Jackets
GP: 2 | W: 1 | L: 1 | OTL: 0 | P: 2
GF: 9 | GA: 5 | PP%: 0.00% | PK%: 66.67%
DG: Patrick Labonté | Morale : 50 | Moyenne d’équipe : 76
Prochains matchs #44 vs Carolina Hurricanes

Centre de jeu
New York Islanders
1-1-0, 2pts
4
FINAL
1 Columbus Blue Jackets
1-1-0, 2pts
Team Stats
L1SéquenceW1
0-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-0-0
1-1-0Derniers 10 matchs1-1-0
2.50Buts par match 4.50
2.50Buts contre par match 2.50
20.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique66.67%
Columbus Blue Jackets
1-1-0, 2pts
8
FINAL
1 Pittsburgh Penguins
0-2-0, 0pts
Team Stats
W1SéquenceL2
0-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-1-0
1-1-0Derniers 10 matchs0-2-0
4.50Buts par match 1.50
2.50Buts contre par match 6.00
0.00%Pourcentage en avantage numérique40.00%
66.67%Pourcentage en désavantage numérique80.00%
Carolina Hurricanes
2-0-0, 4pts
Jour 5
Columbus Blue Jackets
1-1-0, 2pts
Statistiques d’équipe
W2SéquenceW1
1-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-0-0
2-0-010 derniers matchs1-1-0
4.00Buts par match 4.50
2.50Buts contre par match 4.50
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique66.67%
Columbus Blue Jackets
1-1-0, 2pts
Jour 6
Philadelphia Flyers
0-2-0, 0pts
Statistiques d’équipe
W1SéquenceL2
0-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-1-0
1-1-010 derniers matchs0-2-0
4.50Buts par match 2.50
2.50Buts contre par match 2.50
0.00%Pourcentage en avantage numérique0.00%
66.67%Pourcentage en désavantage numérique100.00%
Columbus Blue Jackets
1-1-0, 2pts
Jour 7
Washington Capitals
0-2-0, 0pts
Statistiques d’équipe
W1SéquenceL2
0-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-1-0
1-1-010 derniers matchs0-2-0
4.50Buts par match 2.50
2.50Buts contre par match 2.50
0.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Tomas HertlButs
Tomas Hertl
3
Timo MeierPasses
Timo Meier
2
Tomas HertlPoints
Tomas Hertl
4
Nolan AllanPlus/Moins
Nolan Allan
5
Joonas KorpisaloVictoires
Joonas Korpisalo
1
Joonas KorpisaloPourcentage d’arrêts
Joonas Korpisalo
0.884

Statistiques d’équipe
Buts pour
9
4.50 GFG
Tirs pour
62
31.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
47.1%
Buts contre
5
2.50 GAA
Tirs contre
43
21.50 Avg
Pourcentage en désavantage numérique
66.7%%
2 GA
Début de la zone défensive
33.3%
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
Assistance0
Billets de saison17,670


Informations de la formation

Équipe Pro21
Équipe Mineure26
Limite contact 47 / 60
Espoirs8


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible95,500,000$
Valeur du plafond salarial spécial5,821,429$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel20,000,000$
Compte bancaire projeté20,000,000$


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 PageauX100.008045908575889382907874858088780508003215,000,000$
2Tomas HertlX100.007443867685889086877984748287770508003158,137,500$
3Chris KreiderXX100.007141837687889185507385758288840507903426,500,000$
4Timo MeierXXX100.007861697685888889517984728382720467902858,800,000$
5Chandler StephensonX100.006943857780899083808275787884740507803156,250,000$
6Brandon SaadX100.006642937583869482507676717889790507703212,000,000$
7Jeff SkinnerXXX100.007141817677849585597579708090800507703313,000,000$
8Nic DowdX100.008047708276868976747274847784740507703523,000,000$
9Mathieu OlivierXX100.008690587486848478507273757573630507402853,000,000$
10Trevor ZegrasXXX100.006744777678878079617572667568580507302415,750,000$
11Matvei MichkovX100.00624067776976698346808160765350050720202950,000$
12Mark KastelicXXX100.008988597390808072836766727063530507102631,566,667$
13Victor HedmanX100.006742757592919492408882868391900508303448,000,000$
14Brady SkjeiX100.007041738083909087407880838284740508003157,000,000$
15Jake McCabeX100.007463707982929078407767907487770508003154,513,102$
16Brenden DillonX100.007878657486879475407467857289790507803424,000,000$
17Drew DoughtyX100.006341757880928879407773797792880507803525,500,000$
18Nolan AllanX100.00684177717576676640636070665250048670221825,000$
Rayé
1Brandon ScanlinX100.00634468637067666340535962625450048620261775,000$
Équipe Mineure
1Alex Barre-BouletXX100.00624370736373696862656366686452048650281775,000$
2Arttu HyryX100.00644168626463626356616164625150048610241870,000$
3Danil GushchinX100.00544270676064636745646351665150048610231775,000$
4Rodrigo AbolsX100.00644074657570606272585860615150048610291800,000$
5Tim WasheX100.00564069667870596243595959625150048610242812,500$
6Lane PedersonX100.00594467656467636161575657616050048600281775,000$
7Martin ChromiakX100.00604172666364626444615955635050048600231775,000$
8Ozzy WiesblattX100.00615358696264626143615661625150048600232775,000$
9Jan MysakX100.00574173656264626361595853625150048590231775,000$
10Gleb TrikozovX100.00614066606255535640545455575050048560212862,500$
11Noel GunlerXX100.00554261605860585742555452575150048560231813,750$
12Keaton MiddletonX100.00706462648676726740605970636456048670272775,000$
13Kevin ConnautonX100.00565260636371716340575664617366048630351775,000$
14Nikita NovikovX100.00694464656962596340605669615050048630221867,500$
15Helge GransX100.00644368656864636340575766615150048620232787,500$
16William WallinderX100.00634173656663626240605463605050048610231925,000$
17Ryan MastX100.00684170607260575640525165565050048600221830,556$
18Hunter DrewX100.006062516466666462425757566154500485902600$
19Jack MillarX100.006641685967636260405753655751500486102400$
20Garrett PykeX100.005940676262626057405453605752500485902600$
21Tyler InamotoX100.006040666464626053405150635654500485902600$
22Filip KralX100.005342636060616059405754565752500485702500$
MOYENNE D’ÉQUIPE100.0066487070737473705166656768656004968
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 Korpisalo100.00838888798884788182868084770517703134,000,000$
2Dustin Wolf100.0089818370868685868586805852051760245850,000$
Rayé
Équipe Mineure
1Cal Petersen100.0075707262706971686972666457048640301775,000$
2Clay Stevenson100.0073656966707072707171585450048640262775,000$
3Garin Bjorklund100.0066575760626363636362545150049570231775,000$
4Ethan Haider100.00595757645957565458595451500495402400$
MOYENNE D’ÉQUIPE100.007470716773727170717365605604965
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
1Tomas HertlColumbus Blue JacketsC23143002974642.86%03919.5400013000030059.26%5400012.0500000100
2Timo MeierColumbus Blue JacketsC/LW/RW21233003230533.33%03216.15000000000400100.00%100001.8600000000
3Victor HedmanColumbus Blue JacketsD21232006222150.00%24924.810001300004000%000001.2100000010
4Brandon SaadColumbus Blue JacketsLW21121001230533.33%02613.180000000000000%100001.5200000000
5Jean-Gabriel PageauColumbus Blue JacketsC22022002482525.00%03618.0700003000061039.39%3300001.1100000001
6Mathieu OlivierColumbus Blue JacketsLW/RW2022200303020%12713.780000000000000%200001.4500000000
7Brady SkjeiColumbus Blue JacketsD2011360214100%24422.050001200003000%000000.4500000000
8Chandler StephensonColumbus Blue JacketsC21012001191311.11%13216.3300022000000051.43%3500000.6100000000
9Chris KreiderColumbus Blue JacketsLW/RW2011300326300%03819.0000002000040066.67%300000.5300000000
10Drew DoughtyColumbus Blue JacketsD2011400112020%34020.230000200003000%000000.4900000000
11Jeff SkinnerColumbus Blue JacketsC/LW/RW2011300233030%03819.2000012000000058.33%1200000.5200000000
12Nolan AllanColumbus Blue JacketsD2011520201000%03015.180000000000000%000000.6600000000
13Trevor ZegrasColumbus Blue JacketsC/LW/RW2011120211140%03015.380000000000000%100000.6500000000
14Brenden DillonColumbus Blue JacketsD2000-100111100%33718.930000000006000%00000000000000
15Jake McCabeColumbus Blue JacketsD2000-140024120%13718.760002300003000%00000000000000
16Mark KastelicColumbus Blue JacketsC/LW/RW2000-100100000%0105.0800000000000083.33%60000000000000
17Matvei MichkovColumbus Blue JacketsRW2000020344020%02311.8000013000000075.00%40000000000000
18Nic DowdColumbus Blue JacketsC2000-100101000%0105.080000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne369142330160363562164014.52%1358516.250009290000431052.94%15300010.7900000111
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
1Joonas KorpisaloColumbus Blue Jackets21100.8842.50120005430000020000
Statistiques d’équipe totales ou en moyenne21100.8842.5012000543000020000


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
Brady SkjeiColumbus Blue JacketsD311994-03-26USANo210 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm7,000,000$7,000,000$7,000,000$7,000,000$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 JacketsLW321992-10-27USANo215 Lbs6 ft1NoNoAssign ManuallyNoNo12025-06-29FalseFalsePro & Farm2,000,000$2,000,000$2,000,000$2,000,000$No---------------------------Lien NHL
Brandon ScanlinColumbus Blue JacketsD261999-06-02CANNo214 Lbs6 ft4NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$775,000$775,000$775,000$No---------------------------Lien NHL
Brenden DillonColumbus Blue JacketsD341990-11-13CANNo225 Lbs6 ft4NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm4,000,000$4,000,000$4,000,000$4,000,000$No4,000,000$--------4,000,000$--------No--------Lien NHL
Chandler StephensonColumbus Blue JacketsC311994-04-22CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm6,250,000$6,250,000$6,250,000$6,250,000$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$6,500,000$6,500,000$6,500,000$No6,500,000$--------6,500,000$--------No--------Lien NHL
Drew DoughtyColumbus Blue JacketsD351989-12-08CANNo210 Lbs6 ft1NoNoTrade2025-07-26NoNo22025-07-26FalseFalsePro & Farm5,500,000$5,500,000$5,500,000$5,500,000$No5,500,000$--------5,500,000$--------No--------Lien NHL
Dustin WolfColumbus Blue JacketsG242001-04-16USANo166 Lbs6 ft0NoNoAssign ManuallyNoNo52025-09-15FalseFalsePro & Farm850,000$850,000$850,000$850,000$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
Jake McCabeColumbus Blue JacketsD311993-10-12USANo212 Lbs6 ft1NoNoAssign ManuallyNoNo52025-06-29FalseFalsePro & Farm4,513,102$4,513,102$4,513,102$4,513,102$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 JacketsC321992-11-11CANNo195 Lbs5 ft11NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm5,000,000$5,000,000$5,000,000$5,000,000$No---------------------------Lien NHL
Jeff SkinnerColumbus Blue JacketsC/LW/RW331992-05-16CANNo200 Lbs5 ft11NoNoAssign ManuallyNoNo12025-07-22FalseFalsePro & Farm3,000,000$3,000,000$3,000,000$3,000,000$No---------------------------Lien NHL
Joonas KorpisaloColumbus Blue JacketsG311994-04-28FINNo199 Lbs6 ft3NoNoAssign ManuallyNoYes32025-05-26FalseFalsePro & Farm4,000,000$4,000,000$4,000,000$4,000,000$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$1,566,667$1,566,667$1,566,667$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$3,000,000$3,000,000$3,000,000$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
Matvei MichkovColumbus Blue JacketsRW202004-12-09RUSNo172 Lbs5 ft10NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm950,000$950,000$950,000$950,000$No950,000$--------950,000$--------No--------
Nic DowdColumbus Blue JacketsC351990-05-27USANo190 Lbs6 ft2NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm3,000,000$3,000,000$3,000,000$3,000,000$No3,000,000$--------3,000,000$--------No--------Lien NHL
Nolan AllanColumbus Blue JacketsD222003-04-28CANNo195 Lbs6 ft2NoNoTrade2025-09-20NoNo12025-05-26FalseFalsePro & Farm825,000$825,000$825,000$825,000$No---------------------------Lien NHL
Timo MeierColumbus Blue JacketsC/LW/RW281996-10-08CHENo220 Lbs6 ft1NoNoTrade2025-09-20NoNo52025-05-26FalseFalsePro & Farm8,800,000$8,800,000$8,800,000$8,800,000$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 JacketsC311993-11-12CZENo220 Lbs6 ft3NoNoAssign ManuallyNoNo52025-05-26FalseFalsePro & Farm8,137,500$8,137,500$8,137,500$8,137,500$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
Trevor ZegrasColumbus Blue JacketsC/LW/RW242001-03-20USANo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm5,750,000$5,750,000$5,750,000$5,750,000$No---------------------------Lien NHL
Victor HedmanColumbus Blue JacketsD341990-12-18SWENo245 Lbs6 ft7NoNoAssign ManuallyNoNo42025-07-03FalseFalsePro & Farm8,000,000$8,000,000$8,000,000$8,000,000$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
2129.62207 Lbs6 ft22.904,257,965$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
89,417,269$78,717,269$58,767,269$53,200,602$45,200,602$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timo MeierJean-Gabriel PageauJeff Skinner30122
2Chris KreiderTomas HertlMathieu Olivier30122
3Brandon SaadChandler StephensonTrevor Zegras25131
4Trevor ZegrasJeff SkinnerMatvei Michkov15311
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanBrady Skjei30122
2Jake McCabeBrenden Dillon30122
3Drew DoughtyNolan Allan25221
4Victor HedmanBrady Skjei15014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timo MeierJean-Gabriel PageauJeff Skinner50014
2Chris KreiderTomas HertlMathieu Olivier50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanBrady Skjei50113
2Jake McCabeBrenden Dillon50113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jean-Gabriel PageauTimo Meier50131
2Tomas HertlChris Kreider50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanBrady Skjei50131
2Jake McCabeBrenden Dillon50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jean-Gabriel Pageau50140Victor HedmanBrady Skjei50140
2Tomas Hertl50140Jake McCabeBrenden Dillon50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jean-Gabriel PageauTimo Meier50122
2Tomas HertlChris Kreider50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor HedmanBrady Skjei50122
2Jake McCabeBrenden Dillon50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Timo MeierJean-Gabriel PageauJeff SkinnerVictor HedmanBrady Skjei
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Timo MeierJean-Gabriel PageauJeff SkinnerVictor HedmanBrady Skjei
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chandler Stephenson, Jeff Skinner, Brandon SaadChandler Stephenson, Jeff SkinnerChandler Stephenson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brenden Dillon, Drew Doughty, Nolan AllanBrenden DillonBrenden Dillon, Drew Doughty
Tirs de pénalité
Jean-Gabriel Pageau, Tomas Hertl, Timo Meier, Chris Kreider, Chandler Stephenson
Gardien
#1 : Joonas Korpisalo, #2 : Dustin Wolf
Lignes d’attaque personnalisées en prolongation
Jean-Gabriel Pageau, Tomas Hertl, Timo Meier, Chris Kreider, Chandler Stephenson, Jeff Skinner, Brandon Saad, Nic Dowd, Mathieu Olivier, Trevor Zegras
Lignes de défense personnalisées en prolongation
Victor Hedman, Brady Skjei, Jake McCabe, Brenden Dillon, Drew Doughty


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
1New York Islanders1010000014-31010000014-30000000000000.0001120010002712780227819300.00%2150.00%0387252.78%265150.98%173056.67%2214256126
2Pittsburgh Penguins11000000817000000000001100000081721.0008132100224035147140216817000%4175.00%0387252.78%265150.98%173056.67%2821205116
Total211000009541010000014-31100000081720.5009142300324062261422043131636300.00%6266.67%0387252.78%265150.98%173056.67%503645112312
_Since Last GM Reset211000009541010000014-31100000081720.5009142300324062261422043131636300.00%6266.67%0387252.78%265150.98%173056.67%503645112312
_Vs Conference211000009541010000014-31100000081720.5009142300324062261422043131636300.00%6266.67%0387252.78%265150.98%173056.67%503645112312
_Vs Division211000009541010000014-31100000081720.5009142300324062261422043131636300.00%6266.67%0387252.78%265150.98%173056.67%503645112312

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
22W191423624313163600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
211000095
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000014
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000081
Derniers 10 matchs
WLOTWOTL SOWSOL
110000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
300.00%6266.67%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
26142203240
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
387252.78%265150.98%173056.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
503645112312


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
212New York Islanders4Columbus Blue Jackets1LSommaire du match
431Columbus Blue Jackets8Pittsburgh Penguins1WSommaire du match
544Carolina Hurricanes-Columbus Blue Jackets-
652Columbus Blue Jackets-Philadelphia Flyers-
766Columbus Blue Jackets-Washington Capitals-
1086Washington Capitals-Columbus Blue Jackets-
11103Columbus Blue Jackets-New Jersey Devils-
13111Columbus Blue Jackets-New York Rangers-
14126New York Rangers-Columbus Blue Jackets-
16149New Jersey Devils-Columbus Blue Jackets-
17154Columbus Blue Jackets-New York Islanders-
21183Philadelphia Flyers-Columbus Blue Jackets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
22191Columbus Blue Jackets-Carolina Hurricanes-
27221Pittsburgh Penguins-Columbus Blue Jackets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040002000
Prix des billets90604530190
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 0 - 0.00% 0$0$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 89,417,269$ 89,417,269$ 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
0$ 0$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 24 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 20,000,000$ 20,000,000$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 95,500,000$ 95,500,000$ -70,600,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Chris KreiderAGE:34PO:0OV:79
Timo MeierAGE:28PO:0OV:79
Brandon SaadAGE:32PO:0OV:77
Jeff SkinnerAGE:33PO:0OV:77
Mathieu OlivierAGE:28PO:0OV:74
Trevor ZegrasAGE:24PO:0OV:73
Mark KastelicAGE:26PO:0OV:71
Danil GushchinAGE:23PO:0OV:61
Gleb TrikozovAGE:21PO:0OV:56
Noel GunlerAGE:23PO:0OV:56
Jean-Gabriel PageauAGE:32PO:0OV:80
Tomas HertlAGE:31PO:0OV:80
Timo MeierAGE:28PO:0OV:79
Chandler StephensonAGE:31PO:0OV:78
Jeff SkinnerAGE:33PO:0OV:77
Nic DowdAGE:35PO:0OV:77
Trevor ZegrasAGE:24PO:0OV:73
Mark KastelicAGE:26PO:0OV:71
Alex Barre-BouletAGE:28PO:0OV:65
Rodrigo AbolsAGE:29PO:0OV:61
Tim WasheAGE:24PO:0OV:61
Lane PedersonAGE:28PO:0OV:60
Jan MysakAGE:23PO:0OV:59
Chris KreiderAGE:34PO:0OV:79
Timo MeierAGE:28PO:0OV:79
Jeff SkinnerAGE:33PO:0OV:77
Mathieu OlivierAGE:28PO:0OV:74
Trevor ZegrasAGE:24PO:0OV:73
Matvei MichkovAGE:20PO:0OV:72
Mark KastelicAGE:26PO:0OV:71
Alex Barre-BouletAGE:28PO:0OV:65
Arttu HyryAGE:24PO:0OV:61
Martin ChromiakAGE:23PO:0OV:60
Ozzy WiesblattAGE:23PO:0OV:60
Hunter DrewAGE:26PO:0OV:59
Noel GunlerAGE:23PO:0OV:56

Défense #1Défense #2Gardien
Victor HedmanAGE:34PO:0OV:83
Brady SkjeiAGE:31PO:0OV:80
Jake McCabeAGE:31PO:0OV:80
Brenden DillonAGE:34PO:0OV:78
Drew DoughtyAGE:35PO:0OV:78
Keaton MiddletonAGE:27PO:0OV:67
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
Jack MillarAGE:24PO:0OV:61
William WallinderAGE:23PO:0OV:61
Ryan MastAGE:22PO:0OV:60
Garrett PykeAGE:26PO:0OV:59
Tyler InamotoAGE:26PO:0OV:59
Filip KralAGE:25PO:0OV:57
Joonas KorpisaloAGE:31PO:0OV:77
Dustin WolfAGE:24PO:0OV:76
Cal PetersenAGE:30PO: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
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

[2025-09-20 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).



Pas de blessure ou de suspension.


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