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Columbus Blue Jackets
GP: 17 | W: 10 | L: 7
GF: 48 | GA: 43 | PP%: 8.77% | PK%: 82.22%
DG: Josh | Morale : 40 | Moyenne d’équipe : 78

Centre de jeu
Colorado Avalanche
16-5-0, 48pts
1
2 Columbus Blue Jackets
10-7-0, 30pts
Team Stats
W5SéquenceL1
8-3-0Fiche domicile4-5-0
8-2-0Fiche visiteur6-2-0
8-1-1Derniers 10 matchs5-4-1
3.24Buts par match 2.82
2.29Buts contre par match 2.53
22.22%Pourcentage en avantage numérique8.77%
80.00%Pourcentage en désavantage numérique82.22%
Columbus Blue Jackets
10-7-0, 30pts
2
4 Colorado Avalanche
16-5-0, 48pts
Team Stats
L1SéquenceW5
4-5-0Fiche domicile8-3-0
6-2-0Fiche visiteur8-2-0
5-4-1Derniers 10 matchs8-1-1
2.82Buts par match 3.24
2.53Buts contre par match 2.29
8.77%Pourcentage en avantage numérique22.22%
82.22%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Sean Monahan
8
Passes
Valeri Nichushkin
8
Points
Sean Monahan
13
Plus/Moins
J.J. Moser
10
Victoires
Mackenzie Blackwood
8
Pourcentage d’arrêts
Mackenzie Blackwood
0.942

Statistiques d’équipe
Buts pour
48
2.82 GFG
Tirs pour
552
32.47 Avg
Pourcentage en avantage numérique
8.8%
5 GF
Début de zone offensive
37.2%
Buts contre
43
2.53 GAA
Tirs contre
586
34.47 Avg
Pourcentage en désavantage numérique
82.2%%
8 GA
Début de la zone défensive
39.5%
Informations de l'équipe

Directeur généralJosh
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomNationwide Arena
Capacité18,000
Assistance18,000
Billets de saison8,100


Informations de la formation

Équipe Pro20
Équipe Mineure30
Limite contact 50 / 250
Espoirs64


Finance

Revenu annuel à ce jour11,389,797$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel88,473,332$
Compte bancaire projeté88,473,332$


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
1Sean Monahan0X100.0067509093799799869990918187797455408303025,550,000$
2Vincent Trocheck0X100.0089438995589495829785867584807455408003124,000,000$
3Carter Verhaeghe0X100.0069457890708990836987907284786755407902944,500,000$
4Valeri Nichushkin0X100.0075478676859293886080907484798455407903034,200,000$
5Anthony Beauvillier0X100.0086458193609089807479907083777355407802815,166,667$
6Chris Tierney0X100.0059428687738989789588886978787655407803127,000,000$
7Dominik Kubalik0X100.0081398392688985766680907284787755407802944,500,000$
8Nino Niederreiter0X100.0090487879828886806781817378807655407703213,600,000$
9Bryan Rust0X100.0079467679628584836279867183817155407503334,000,000$
10Jonathan Drouin0X100.0059508784708385787280837076796855407503031,670,000$
11Conor Garland0X100.0064368593558276717370877277787255407302941,670,000$
12Curtis Lazar0X100.0091517674748380748278726873798455407303033,000,000$
13Matt Dumba0X100.0093478290759999805290748275797655408103033,250,000$
14Zach Werenski0X100.0058519290909699805089728072748355407902723,000,000$
15Hampus Lindholm0X100.00605092838994957850826980698084554078N03123,500,000$
16J.J. Moser0X100.0063458994788593805090708074767855407802543,000,000$
17Riley Stillman0X100.0089528783878787745087668067748055407802721,450,000$
18John Carlson0X100.0059478868879090685071627560828055407203513,067,000$
Rayé
Équipe Mineure
1Chris Wagner0X100.009445647566817674697577627782755540710341500,000$
2Will Cuylle (R)0X100.009952797280838368597572696968685540710233800,000$
3Mark Arcobello0X100.0084368286498181748478706085765540407003621,500,000$
4Lars Eller0X100.0078476967778079717871736470857455407003621,500,000$
5Eric Robinson0X100.008150797077787961666466706579735540680303600,000$
6Frank Nazar (R)0X100.0054358091538181607873685971637355406802131,750,000$
7Mackenzie MacEachern0X100.008546687275777664636766716679705540680312665,000$
8Sean Kuraly0X100.008551666477798666817166666580735540680321625,000$
9Brett Leason0X100.0072497963927879636664647162758255406702621,000,000$
10Brock McGinn0X100.007940797352757564676767706780785540670312665,000$
11Jakob Pelletier (R)0X100.0057358087507575636469656870708055406702431,000,000$
12Sam Colangelo (R)0X100.006345837277756863576277636968785540670233900,000$
13Xavier Ouellet0X100.007746737385818370507364756280705540730313750,000$
14Olen Zellweger (R)0X100.0055358394588181675076687269637355407102131,000,000$
15Dan Renouf0X100.008175766987737265506362686078695540690312600,000$
16Calle Rosen0X100.005140797975717564506759696180725540680311600,000$
17Jaycob Megna0X100.005854696299747464506762695780815540680321600,000$
18Jon Merrill0X100.005648726784787968507062706081725540680331600,000$
19Vasily Podkolzin (R)0X100.0095477276738174615670646766707055406802431,500,000$
20Chris Kreider0X100.008653715484777761716565666082825540660341600,000$
21Matthew Peca0X100.005940797850767664796966646880635540660321600,000$
22Filip Zadina0X100.0058427973758081645565665767736555406502521,750,000$
23Adam Beckman (R)0X100.005940577565667455506259716170585540630243900,000$
24Mikko Lehtonen0X100.006544837276697161506559665877735540660312600,000$
25Nick Seeler0X100.005552657165717562506461705879695540660321625,000$
26Tim Heed0X100.005240778149727262506161756180665540660342750,000$
MOYENNE D’ÉQUIPE100.00724679797382827064747270707774554072
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
1Semyon Varlamov0100.007077828279838381818381877355407803722,750,000$
Rayé
1Mackenzie Blackwood0100.0071889088919293939392927768554085N02812,760,000$
Équipe Mineure
1Collin Delia0100.007771718279798080797980776555407603121,071,427$
2Matt O'Connor0100.00746565907679807878797881665540750331600,000$
3Roman Will0100.00775757807777787777777380655540730332750,000$
4Jeremy Smith0100.00786364787574757576747264655540710361500,000$
MOYENNE D’ÉQUIPE100.0075707283808182818181797867554076
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Sean MonahanColumbus Blue JacketsC178513-18014335082516.00%831818.721234530002173247.03%35398000.8200000210
2Valeri NichushkinColumbus Blue JacketsRW17581314024194382811.63%930818.170221430002191046.15%13106000.8400000102
3Jonathan DrouinColumbus Blue JacketsLW176511600192831321.43%01217.140000000000100%085001.8100000210
4Chris TierneyColumbus Blue JacketsC17641042093751152211.76%428917.04202643000151050.92%273137000.6900000100
5Anthony BeauvillierColumbus Blue JacketsRW17279226104419365165.56%429217.22033551000001045.83%24122000.6100011000
6Carter VerhaegheColumbus Blue JacketsLW17369-18028253910317.69%431118.342139520001111050.00%20168000.5800000002
7Dominik KubalikColumbus Blue JacketsLW172795802919479284.26%430618.050002440001181036.36%2287000.5900000000
8J.J. MoserColumbus Blue JacketsD172791020728291246.90%1337021.7700003800003000%0615000.4900000010
9Vincent TrocheckColumbus Blue JacketsC17279-24025224219374.76%1228316.66000000001410047.84%301108000.6400000000
10Bryan RustColumbus Blue JacketsRW17437620111422101018.18%21307.6700003000000066.67%340001.0700000003
11Matt DumbaColumbus Blue JacketsD17167-160474325974.00%2044226.02000360000144010%01515000.3200000002
12Nino NiederreiterColumbus Blue JacketsRW17617-1175341737101516.22%727516.22000000000351150.00%1442000.5100001010
13Riley StillmanColumbus Blue JacketsD170669404525181130%2239523.29000038000028000%0618000.3000000010
14Zach WerenskiColumbus Blue JacketsD17066-15563430860%1642324.90011360000226000%0914000.2800001000
15Conor GarlandColumbus Blue JacketsLW171120100825274263.70%324614.5000002000010033.33%9114000.1600000000
16Curtis LazarColumbus Blue JacketsC1702262020613170%41267.4300002000000042.86%3521000.3200000000
17Hampus LindholmColumbus Blue JacketsD17011-1003249340%1123713.9900001000048000%0312000.0800000000
18John CarlsonColumbus Blue JacketsD17011120986340%1518410.850000000000000%005000.1100000000
Statistiques d’équipe totales ou en moyenne306488313142110203644075521482868.70%158506616.565914334960001130310447.89%1067146137000.5200013659
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
1Mackenzie BlackwoodColumbus Blue Jackets128310.9421.9972400244111851300125331
2Semyon VarlamovColumbus Blue Jackets52210.9123.012990015171830100512110
Statistiques d’équipe totales ou en moyenne1710520.9332.29102400395822681401717441


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Anthony Beauvillier (contrat à 1 volet)Columbus Blue JacketsRW281997-06-08CANNo181 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,166,667$0$0$No---------------------------Lien
Bryan Rust (contrat à 1 volet)Columbus Blue JacketsRW331992-05-11USANo192 Lbs5 ft11NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm4,000,000$0$0$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Lien
Carter Verhaeghe (contrat à 1 volet)Columbus Blue JacketsLW291995-08-14CANNo181 Lbs6 ft2NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm4,500,000$0$0$No4,500,000$4,500,000$4,500,000$------4,500,000$4,500,000$4,500,000$------NoNoNo------Lien
Chris Tierney (contrat à 1 volet)Columbus Blue JacketsC311994-07-01CANNo191 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm7,000,000$0$0$No7,000,000$--------7,000,000$--------No--------Lien
Conor GarlandColumbus Blue JacketsLW291996-03-11USANo181 Lbs5 ft8NoNoFree Agent2025-10-03NoNo42025-10-17FalseFalsePro & Farm1,670,000$0$0$No1,670,000$1,670,000$1,670,000$------1,670,000$1,670,000$1,670,000$------NoNoNo------Lien
Curtis Lazar (contrat à 1 volet)Columbus Blue JacketsC301995-02-02CANNo203 Lbs6 ft0NoNoFree AgentNoNo32025-10-10FalseFalsePro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------Lien
Dominik Kubalik (contrat à 1 volet)Columbus Blue JacketsLW291995-08-21CZENo190 Lbs6 ft2NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm4,500,000$0$0$No4,500,000$4,500,000$4,500,000$------4,500,000$4,500,000$4,500,000$------NoNoNo------Lien
Hampus Lindholm (contrat à 1 volet)Columbus Blue JacketsD311994-01-20SWENo216 Lbs6 ft2YesNoAssign ManuallyNoNo22025-09-30FalseFalsePro Only3,500,000$0$0$No3,500,000$--------3,500,000$--------Yes--------Lien
J.J. Moser (contrat à 1 volet)Columbus Blue JacketsD252000-06-06CHENo187 Lbs6 ft1NoNoFree AgentNoNo42025-10-10FalseFalsePro & Farm3,000,000$0$0$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------Lien
John Carlson (contrat à 1 volet)Columbus Blue JacketsD351990-01-10USANo216 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,067,000$0$0$No---------------------------Lien
Jonathan DrouinColumbus Blue JacketsLW301995-03-28CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,670,000$0$0$No1,670,000$1,670,000$-------1,670,000$1,670,000$-------NoNo-------Lien
Mackenzie Blackwood (contrat à 1 volet)Columbus Blue JacketsG281996-12-09CANNo225 Lbs6 ft4YesNoAssign ManuallyNoNo12025-09-30FalseFalsePro Only2,760,000$0$0$No---------------------------Lien
Matt Dumba (contrat à 1 volet)Columbus Blue JacketsD301994-07-25CANNo181 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm3,250,000$0$0$No3,250,000$3,250,000$-------3,250,000$3,250,000$-------NoNo-------Lien
Nino Niederreiter (contrat à 1 volet)Columbus Blue JacketsRW321992-09-08SUINo218 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,600,000$0$0$No---------------------------Lien
Riley StillmanColumbus Blue JacketsD271998-03-09CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,450,000$0$0$No1,450,000$--------1,450,000$--------No--------Lien
Sean Monahan (contrat à 1 volet)Columbus Blue JacketsC301994-10-12CANNo201 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm5,550,000$0$0$No5,550,000$--------5,550,000$--------No--------Lien
Semyon Varlamov (contrat à 1 volet)Columbus Blue JacketsG371988-04-27RUSNo209 Lbs6 ft2NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm2,750,000$0$0$No2,750,000$--------2,750,000$--------No--------Lien
Valeri Nichushkin (contrat à 1 volet)Columbus Blue JacketsRW301995-03-04RUSNo209 Lbs6 ft4NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,200,000$0$0$No4,200,000$4,200,000$-------4,200,000$4,200,000$-------NoNo-------Lien
Vincent Trocheck (contrat à 1 volet)Columbus Blue JacketsC311993-07-11USANo183 Lbs5 ft11NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm4,000,000$0$0$No4,000,000$--------4,000,000$--------No--------Lien
Zach Werenski (contrat à 1 volet)Columbus Blue JacketsD271997-07-19USANo214 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,000,000$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2030.10199 Lbs6 ft12.453,581,683$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
71,633,667$57,040,000$29,790,000$13,670,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carter VerhaegheSean MonahanAnthony Beauvillier35023
2Dominik KubalikChris TierneyValeri Nichushkin35023
3Conor GarlandVincent TrocheckNino Niederreiter30023
4Jonathan DrouinCurtis LazarBryan Rust0023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt DumbaZach Werenski43032
2Riley StillmanJ.J. Moser42032
3Hampus LindholmJohn Carlson15032
4Matt DumbaZach Werenski0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carter VerhaegheSean MonahanAnthony Beauvillier60005
2Dominik KubalikChris TierneyValeri Nichushkin40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt DumbaZach Werenski60005
2J.J. MoserRiley Stillman40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vincent TrocheckNino Niederreiter60050
2Sean MonahanValeri Nichushkin40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hampus LindholmMatt Dumba60050
2Riley StillmanZach Werenski40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Vincent Trocheck60050Matt DumbaHampus Lindholm60050
2Sean Monahan40050Zach WerenskiRiley Stillman40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sean MonahanDominik Kubalik60023
2Chris TierneyAnthony Beauvillier40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt DumbaZach Werenski60023
2J.J. MoserRiley Stillman40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carter VerhaegheSean MonahanValeri NichushkinMatt DumbaZach Werenski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carter VerhaegheSean MonahanValeri NichushkinMatt DumbaZach Werenski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dominik Kubalik, Anthony Beauvillier, Carter VerhaegheDominik Kubalik, Carter VerhaegheDominik Kubalik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Dumba, Zach Werenski, J.J. MoserMatt DumbaRiley Stillman, Hampus Lindholm
Tirs de pénalité
Sean Monahan, Vincent Trocheck, Carter Verhaeghe, Valeri Nichushkin, Dominik Kubalik
Gardien
#1 : , #2 : Semyon Varlamov
Lignes d’attaque personnalisées en prolongation
Sean Monahan, Vincent Trocheck, Valeri Nichushkin, Carter Verhaeghe, Chris Tierney, Anthony Beauvillier, Dominik Kubalik, Conor Garland, Bryan Rust, Nino Niederreiter
Lignes de défense personnalisées en prolongation
Matt Dumba, Zach Werenski, Hampus Lindholm, J.J. Moser, Riley Stillman


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
1Anaheim Mighty Ducks642000002116531200000811-3330000001358120.66721385900311701735072474202634713329310.34%21385.71%019539649.24%20642148.93%11024844.35%127691345710452
2Chicago Blackhawks541000001510532100000118322000000422120.80015264100555018341756701784828941815.56%9277.78%019539649.24%20642148.93%11024844.35%10766109458341
3Colorado Avalanche624000001217-53120000058-33120000079-260.3331219314035311966477532206473513710110.00%15380.00%019539649.24%20642148.93%11024844.35%126741345010049
Total171070000048435945000002427-38620000024168300.588488313140112115155215522416765861581103645758.77%45882.22%019539649.24%20642148.93%11024844.35%362211378154287143
_Since Last GM Reset171070000048435945000002427-38620000024168300.588488313140112115155215522416765861581103645758.77%45882.22%019539649.24%20642148.93%11024844.35%362211378154287143
_Vs Conference171070000048435945000002427-38620000024168300.588488313140112115155215522416765861581103645758.77%45882.22%019539649.24%20642148.93%11024844.35%362211378154287143
_Vs Division1165000002727063300000161605320000011110180.5452745724081081379105152120238495632312827.14%24579.17%019539649.24%20642148.93%11024844.35%2341412449618391

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1730L1488313155258615811036440
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1710700004843
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
94500002427
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
86200002416
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
5758.77%45882.22%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
15522416761121151
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
19539649.24%20642148.93%11024844.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
362211378154287143


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
15Anaheim Mighty Ducks1Columbus Blue Jackets3WSommaire du match
213Anaheim Mighty Ducks5Columbus Blue Jackets1LSommaire du match
521Columbus Blue Jackets5Anaheim Mighty Ducks1WSommaire du match
629Columbus Blue Jackets4Anaheim Mighty Ducks1WSommaire du match
937Anaheim Mighty Ducks5Columbus Blue Jackets4LXSommaire du match
1145Columbus Blue Jackets4Anaheim Mighty Ducks3WSommaire du match
1459Chicago Blackhawks1Columbus Blue Jackets4WSommaire du match
1563Chicago Blackhawks5Columbus Blue Jackets4LXSommaire du match
1867Columbus Blue Jackets2Chicago Blackhawks1WSommaire du match
1971Columbus Blue Jackets2Chicago Blackhawks1WSommaire du match
2275Chicago Blackhawks2Columbus Blue Jackets3WSommaire du match
2786Colorado Avalanche3Columbus Blue Jackets1LSommaire du match
2888Colorado Avalanche4Columbus Blue Jackets2LSommaire du match
3190Columbus Blue Jackets4Colorado Avalanche2WSommaire du match
3292Columbus Blue Jackets1Colorado Avalanche3LSommaire du match
3594Colorado Avalanche1Columbus Blue Jackets2WXSommaire du match
3796Columbus Blue Jackets2Colorado Avalanche4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets91472921183
Assistance53,46043,74017,82035,64011,340
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 18000 - 100.00% 1,265,533$11,389,797$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 73,633,667$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 0 0

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

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 88,473,332$ 88,473,332$



Charte de profondeur

Ailier gaucheCentreAilier droit
Carter VerhaegheAGE:29PO:55OV:79
Dominik KubalikAGE:29PO:55OV:78
Jonathan DrouinAGE:30PO:55OV:75
Conor GarlandAGE:29PO:55OV:73
Chris WagnerAGE:34PO:55OV:71
Will Cuylle (R)AGE:23PO:55OV:71
Eric RobinsonAGE:30PO:55OV:68
Brock McGinnAGE:31PO:55OV:67
Jakob Pelletier (R)AGE:24PO:55OV:67
Adam Beckman (R)AGE:24PO:55OV:63
Sean MonahanAGE:30PO:55OV:83
Vincent TrocheckAGE:31PO:55OV:80
Chris TierneyAGE:31PO:55OV:78
Curtis LazarAGE:30PO:55OV:73
Lars EllerAGE:36PO:55OV:70
Mark ArcobelloAGE:36PO:40OV:70
Frank Nazar (R)AGE:21PO:55OV:68
Sean KuralyAGE:32PO:55OV:68
Chris KreiderAGE:34PO:55OV:66
Matthew PecaAGE:32PO:55OV:66
Valeri NichushkinAGE:30PO:55OV:79
Anthony BeauvillierAGE:28PO:55OV:78
Nino NiederreiterAGE:32PO:55OV:77
Bryan RustAGE:33PO:55OV:75
Mackenzie MacEachernAGE:31PO:55OV:68
Vasily Podkolzin (R)AGE:24PO:55OV:68
Brett LeasonAGE:26PO:55OV:67
Sam Colangelo (R)AGE:23PO:55OV:67
Filip ZadinaAGE:25PO:55OV:65

Défense #1Défense #2Gardien
Matt DumbaAGE:30PO:55OV:81
Zach WerenskiAGE:27PO:55OV:79
Hampus LindholmAGE:31PO:55OV:78
J.J. MoserAGE:25PO:55OV:78
Riley StillmanAGE:27PO:55OV:78
Xavier OuelletAGE:31PO:55OV:73
John CarlsonAGE:35PO:55OV:72
Olen Zellweger (R)AGE:21PO:55OV:71
Dan RenoufAGE:31PO:55OV:69
Calle RosenAGE:31PO:55OV:68
Jaycob MegnaAGE:32PO:55OV:68
Jon MerrillAGE:33PO:55OV:68
Mikko LehtonenAGE:31PO:55OV:66
Nick SeelerAGE:32PO:55OV:66
Tim HeedAGE:34PO:55OV:66
Mackenzie BlackwoodAGE:28PO:55OV:85
Semyon VarlamovAGE:37PO:55OV:78
Collin DeliaAGE:31PO:55OV:76
Matt O'ConnorAGE:33PO:55OV:75
Roman WillAGE:33PO:55OV:73
Jeremy SmithAGE:36PO:55OV:71

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
0x LTCsColumbus Blue Jackets00
1 000 000 NSHL25 Waiver BucksColumbus Blue Jackets00
1x NSHL26 ODW ClaimColumbus Blue Jackets00
1x RFA TagColumbus Blue Jackets00
20x TC PTSColumbus Blue Jackets00
Aidan DudasColumbus Blue Jackets181090Lien
Alex CottonColumbus Blue Jackets201300Lien
Alexander CampbellColumbus Blue Jackets19760Lien
Alexander KhovanovColumbus Blue Jackets181080Lien
Alexander PashinColumbus Blue Jackets201200Lien
Alexei LipanovColumbus Blue Jackets171040Lien
Blake McLaughlinColumbus Blue Jackets181120Lien
Brodie ZiemerColumbus Blue Jackets24700Lien
Bryce BrodzinskiColumbus Blue Jackets191300Lien
Bulat ShafigullinColumbus Blue Jackets181150Lien
Cameron AllenColumbus Blue Jackets231500Lien
Cayden LindstromColumbus Blue Jackets2430Lien
Colby AmbrosioColumbus Blue Jackets201360Lien
Connor McClennonColumbus Blue Jackets20970Lien
David JiricekColumbus Blue Jackets2260Lien
Denver BarkeyColumbus Blue Jackets23910Lien
Emil HeinemanColumbus Blue Jackets20940Lien
Ethan KeppenColumbus Blue Jackets191200Lien
Evan BarrattColumbus Blue Jackets171110Lien
Filip EkbergColumbus Blue Jackets25900Lien
Francesco PinelliColumbus Blue Jackets21290Lien
Gracyn SawchynColumbus Blue Jackets23780Lien
Guillaume RichardColumbus Blue Jackets211470Lien
Harry NansiColumbus Blue Jackets251270Lien
Ian MooreColumbus Blue Jackets20830Lien
Ilya NikolaevColumbus Blue Jackets19550Lien
Jack ThompsonColumbus Blue Jackets201330Lien
Jackson HallumColumbus Blue Jackets201170Lien
Jacob PerreaultColumbus Blue Jackets20250Lien
Joni IkonenColumbus Blue Jackets17820Lien
Jonny TychonickColumbus Blue Jackets18670Lien
Matej PekarColumbus Blue Jackets181160Lien
Matteo CostantiniColumbus Blue Jackets201020Lien
Michael BenningColumbus Blue Jackets20400Lien
Michael Brandsegg-NygardColumbus Blue Jackets24160Lien
Michael TeplyColumbus Blue Jackets19850Lien
Niklas NordgrenColumbus Blue Jackets18780Lien
Nikola PasicColumbus Blue Jackets191160Lien
Ondrej BecherColumbus Blue Jackets24740Lien
Oscar Fisker-MolgaardColumbus Blue Jackets23640Lien
Patrik PuistolaColumbus Blue Jackets19450Lien
Pavel NovakColumbus Blue Jackets20840Lien
Rhett PitlickColumbus Blue Jackets19880Lien
Robert MastrosimoneColumbus Blue Jackets19670Lien
Ruslan IskhakovColumbus Blue Jackets18580Lien
Sean TschigerlColumbus Blue Jackets21970Lien
Slava DeminColumbus Blue Jackets181140Lien
Tanner HoweColumbus Blue Jackets24560Lien
Timur MukhanovColumbus Blue Jackets231450Lien
Tommy LafreniereColumbus Blue Jackets251120Lien
Tristan BrozColumbus Blue Jackets21530Lien
Tuukka TieksolaColumbus Blue Jackets19780Lien
Tyler TullioColumbus Blue Jackets201270Lien
Vadim ZherenkoColumbus Blue Jackets231400Lien
Valentin NussbaumerColumbus Blue Jackets191240Lien
Viggo NordlundColumbus Blue Jackets251290Lien
William VilleneuveColumbus Blue Jackets20720Lien
Yegor SerdyukColumbus Blue Jackets191190Lien
Yegor SpiridonovColumbus Blue Jackets19970Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Columbus Blue Jackets Historique de transactions

[2026-09-07 10:15:09 AM] Columbus Blue Jackets was eliminated at round 3 of year 25.
[2026-08-13 3:54:58 PM] Cleveland Monsters was eliminated at round 1 of year 25.
[2026-07-26 11:23:18 AM] New Record for Team's Most Penalties Minutes (33) in 1 Game for Columbus Blue Jackets!
[2026-06-30 3:41:52 PM] New Record for Team's Most Shots (42) in 1 Game for Columbus Blue Jackets!
[2026-06-24 3:12:34 PM] New Record for Team's Most Points (16) in 1 Game for Columbus Blue Jackets!
[2026-06-24 3:12:34 PM] New Record for Team's Most Assists (10) in 1 Game for Columbus Blue Jackets!
[2026-06-03 10:34:49 AM] TRADE : From Vegas Golden Knights to Columbus Blue Jackets : $960,583 (Money).
[2026-06-03 10:33:55 AM] TRADE : From Winnipeg Jets to Columbus Blue Jackets : $1,024,124 (Money).
[2026-06-03 10:29:39 AM] TRADE : From Columbus Blue Jackets to Tampa Bay Lightning : $1,107,389 (Money).
[2026-06-03 10:24:30 AM] TRADE : From Columbus Blue Jackets to Florida Panthers : $60,160 (Money).
[2026-06-03 10:15:48 AM] TRADE : From Columbus Blue Jackets to Chicago Blackhawks : $1,111,543 (Money).
[2026-05-20 4:07:41 PM] New Record for Team's Most Penalties Minutes (26) in 1 Game for Columbus Blue Jackets!
[2026-04-25 11:07:01 AM] New Record for Team's Most Points (15) in 1 Game for Columbus Blue Jackets!
[2026-04-25 11:07:01 AM] New Record for Team's Most Goals (6) in 1 Game for Columbus Blue Jackets!
[2026-04-15 2:37:39 PM] New Record for Team's Most Shots Blocked (20) in 1 Game for Columbus Blue Jackets!
[2026-03-29 9:39:14 AM] New Record for Team's Most Points (14) in 1 Game for Columbus Blue Jackets!
[2026-03-29 9:39:14 AM] New Record for Team's Most Assists (9) in 1 Game for Columbus Blue Jackets!
[2026-03-25 11:15:35 AM] New Record for Team's Most Shots Blocked (18) in 1 Game for Columbus Blue Jackets!
[2026-03-04 3:05:29 PM] New Record for Team's Most Penalties Minutes (20) in 1 Game for Columbus Blue Jackets!
[2026-02-26 4:20:13 PM] New Record for Team's Most Hits (37) in 1 Game for Columbus Blue Jackets!
[2026-02-22 12:04:53 PM] New Record for Team's Most Shots Blocked (15) in 1 Game for Columbus Blue Jackets!
[2026-02-10 3:13:07 PM] New Record for Team's Most Points (13) in 1 Game for Columbus Blue Jackets!
[2026-02-10 3:13:07 PM] New Record for Team's Most Assists (8) in 1 Game for Columbus Blue Jackets!
[2026-02-09 12:52:56 PM] TRADE : From Los Angeles Kings to Columbus Blue Jackets : $100,000 (Money).
[2026-02-09 12:52:56 PM] TRADE : From Columbus Blue Jackets to Los Angeles Kings : Cole Bardreau (65).
[2026-02-08 11:36:53 AM] New Record for Team's Most Points (12) in 1 Game for Columbus Blue Jackets!
[2026-02-08 11:36:53 AM] New Record for Team's Most Assists (7) in 1 Game for Columbus Blue Jackets!
[2026-02-08 11:36:53 AM] New Record for Team's Most Goals (5) in 1 Game for Columbus Blue Jackets!
[2026-02-06 3:11:23 PM] New Record for Team's Most Hits (31) in 1 Game for Columbus Blue Jackets!
[2026-02-06 3:11:23 PM] New Record for Team's Most Shots (40) in 1 Game for Columbus Blue Jackets!
[2026-02-02 3:12:09 PM] New Record for Team's Most Shots (38) in 1 Game for Columbus Blue Jackets!
[2026-02-02 3:12:09 PM] New Record for Team's Most Points (10) in 1 Game for Columbus Blue Jackets!
[2026-01-31 10:15:19 AM] New Record for Team's Most Penalties Minutes (19) in 1 Game for Columbus Blue Jackets!
[2026-01-31 10:15:19 AM] New Record for Team's Most Shots (36) in 1 Game for Columbus Blue Jackets!
[2026-01-29 10:02:19 AM] New Record for Team's Most Goals (4) in 1 Game for Columbus Blue Jackets!



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