Please rotate your device to landscape mode for a better experience.
Connexion

Columbus Blue Jackets
GP: 11 | W: 8 | L: 3
GF: 36 | GA: 26 | PP%: 8.51% | PK%: 83.33%
DG: Josh | Morale : 40 | Moyenne d’équipe : 78
Prochains matchs #86 vs Colorado Avalanche

Centre de jeu
Columbus Blue Jackets
8-3-0, 24pts
2
1 Chicago Blackhawks
5-5-0, 15pts
Team Stats
W3SéquenceL3
3-3-0Fiche domicile1-3-0
5-0-0Fiche visiteur4-2-0
7-1-2Derniers 10 matchs5-5-0
3.27Buts par match 3.00
2.36Buts contre par match 3.20
8.51%Pourcentage en avantage numérique11.54%
83.33%Pourcentage en désavantage numérique78.95%
Chicago Blackhawks
5-5-0, 15pts
2
3 Columbus Blue Jackets
8-3-0, 24pts
Team Stats
L3SéquenceW3
1-3-0Fiche domicile3-3-0
4-2-0Fiche visiteur5-0-0
5-5-0Derniers 10 matchs7-1-2
3.00Buts par match 3.27
3.20Buts contre par match 2.36
11.54%Pourcentage en avantage numérique8.51%
78.95%Pourcentage en désavantage numérique83.33%
Colorado Avalanche
8-3-0, 24pts
Jour 27
Columbus Blue Jackets
8-3-0, 24pts
Statistiques d’équipe
W6SéquenceW3
4-2-0Fiche domicile3-3-0
4-1-0Fiche visiteur5-0-0
7-2-110 derniers matchs7-1-2
3.82Buts par match 3.27
2.82Buts contre par match 3.27
24.39%Pourcentage en avantage numérique8.51%
73.81%Pourcentage en désavantage numérique83.33%
Colorado Avalanche
8-3-0, 24pts
Jour 28
Columbus Blue Jackets
8-3-0, 24pts
Statistiques d’équipe
W6SéquenceW3
4-2-0Fiche domicile3-3-0
4-1-0Fiche visiteur5-0-0
7-2-110 derniers matchs7-1-2
3.82Buts par match 3.27
2.82Buts contre par match 3.27
24.39%Pourcentage en avantage numérique8.51%
73.81%Pourcentage en désavantage numérique83.33%
Columbus Blue Jackets
8-3-0, 24pts
Jour 31
Colorado Avalanche
8-3-0, 24pts
Statistiques d’équipe
W3SéquenceW6
3-3-0Fiche domicile4-2-0
5-0-0Fiche visiteur4-1-0
7-1-210 derniers matchs7-2-1
3.27Buts par match 3.82
2.36Buts contre par match 3.82
8.51%Pourcentage en avantage numérique24.39%
83.33%Pourcentage en désavantage numérique73.81%
Meneurs d'équipe
Buts
Jonathan Drouin
6
Passes
Valeri Nichushkin
6
Points
Jonathan Drouin
11
Plus/Moins
Jonathan Drouin
8
Victoires
Mackenzie Blackwood
6
Pourcentage d’arrêts
Mackenzie Blackwood
0.948

Statistiques d’équipe
Buts pour
36
3.27 GFG
Tirs pour
356
32.36 Avg
Pourcentage en avantage numérique
8.5%
4 GF
Début de zone offensive
35.8%
Buts contre
26
2.36 GAA
Tirs contre
380
34.55 Avg
Pourcentage en désavantage numérique
83.3%%
5 GA
Début de la zone défensive
41.1%
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 jour7,593,198$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel84,676,733$
Compte bancaire projeté84,676,733$


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)0X99.6895477276738174615670646766707055406802431,500,000$
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’ÉQUIPE99.99724679797382827064747270707774554072
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
1Mackenzie Blackwood0100.0071889088919293939392927768554085N02812,760,000$
2Semyon Varlamov0100.007077828279838381818381877355407803722,750,000$
Rayé
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
1Jonathan DrouinColumbus Blue JacketsLW116511800062001130.00%0767.000000000000100%042002.8600000210
2Valeri NichushkinColumbus Blue JacketsRW11461042018152761414.81%720118.320220350000131020.00%553000.9900000002
3Chris TierneyColumbus Blue JacketsC115384205303181416.13%319017.31202435000141049.69%159113000.8400000100
4Bryan RustColumbus Blue JacketsRW1143782099177823.53%1817.44000020000000100.00%120001.7100000003
5J.J. MoserColumbus Blue JacketsD1116742052116726.25%924021.8900003200001000%0312000.5800000010
6Matt DumbaColumbus Blue JacketsD11167440262818465.56%1629026.43000349000029010%0109000.4800000002
7Sean MonahanColumbus Blue JacketsC114370609223231412.50%320718.871124440001112145.90%24447000.6700000100
8Vincent TrocheckColumbus Blue JacketsC11167-24016152713173.70%1018316.65000000001270048.99%19825000.7600000000
9Anthony BeauvillierColumbus Blue JacketsRW1124611352712224119.09%219217.49022343000001047.37%1952000.6200001000
10Dominik KubalikColumbus Blue JacketsLW112464801814307226.67%319918.150002360000121038.89%1854000.6000000000
11Carter VerhaegheColumbus Blue JacketsLW111451201315295183.45%420318.47112844000080047.37%19115000.4900000000
12Nino NiederreiterColumbus Blue JacketsRW11505-11552012254920.00%517616.08000000000221150.00%1221000.5700001010
13Zach WerenskiColumbus Blue JacketsD1105535532518850%1227725.27011348000017000%077000.3600001000
14Riley StillmanColumbus Blue JacketsD11044300331910510%1825923.57000031000019000%0412000.3100000010
15Curtis LazarColumbus Blue JacketsC110228201249150%2807.2800001000000031.58%1910000.5000000000
16Conor GarlandColumbus Blue JacketsLW11011-180516143150%215714.3300001000000042.86%752000.1300000000
17Hampus LindholmColumbus Blue JacketsD110114001177220%714913.6000001000032000%028000.1300000000
18John CarlsonColumbus Blue JacketsD11011500774130%711410.370000000000000%004000.1800000000
Statistiques d’équipe totales ou en moyenne19836641005775152272873568817710.11%111328316.5847112740800032018347.08%7018386000.6100003447
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 Jackets76010.9481.834260013248107100074320
2Semyon VarlamovColumbus Blue Jackets42110.9023.25240001313264000047100
Statistiques d’équipe totales ou en moyenne118120.9322.3466700263801711001111420


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$1,722,222$0$0$No---------------------------Lien
Bryan Rust (contrat à 1 volet)Columbus Blue JacketsRW331992-05-11USANo192 Lbs5 ft11NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm4,000,000$1,333,333$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$1,500,000$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$2,333,333$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$556,667$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$1,000,000$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$1,500,000$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$1,166,667$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$1,000,000$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$1,022,333$0$0$No---------------------------Lien
Jonathan DrouinColumbus Blue JacketsLW301995-03-28CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,670,000$556,667$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$920,000$0$0$No---------------------------Lien
Matt Dumba (contrat à 1 volet)Columbus Blue JacketsD301994-07-25CANNo181 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm3,250,000$1,083,333$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$1,200,000$0$0$No---------------------------Lien
Riley StillmanColumbus Blue JacketsD271998-03-09CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,450,000$483,333$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$1,850,000$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$916,667$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$1,400,000$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$1,333,333$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$1,000,000$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 Beauvillier30023
2Dominik KubalikChris TierneyValeri Nichushkin30023
3Conor GarlandVincent TrocheckNino Niederreiter30023
4Jonathan DrouinCurtis LazarBryan Rust10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt DumbaZach Werenski40023
2Riley StillmanJ.J. Moser40032
3Hampus LindholmJohn Carlson20032
4Matt DumbaZach Werenski0122
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 : Semyon Varlamov, #2 : Mackenzie Blackwood
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%012025048.00%13828748.08%7216244.44%127691345710452
2Chicago Blackhawks541000001510532100000118322000000422120.80015264100555018341756701784828941815.56%9277.78%012025048.00%13828748.08%7216244.44%10766109458341
Total11830000036261063300000191905500000017710240.727366410000816120356911471144380111752274748.51%30583.33%012025048.00%13828748.08%7216244.44%23513624410318793
_Since Last GM Reset11830000036261063300000191905500000017710240.727366410000816120356911471144380111752274748.51%30583.33%012025048.00%13828748.08%7216244.44%23513624410318793
_Vs Conference11830000036261063300000191905500000017710240.727366410000816120356911471144380111752274748.51%30583.33%012025048.00%13828748.08%7216244.44%23513624410318793
_Vs Division541000001510532100000118322000000422120.80015264100555018341756701784828941815.56%9277.78%012025048.00%13828748.08%7216244.44%10766109458341

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1124W336641003563801117522700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
118300003626
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300001919
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5500000177
Derniers 10 matchs
WLOTWOTL SOWSOL
710200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4748.51%30583.33%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
911471144816120
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
12025048.00%13828748.08%7216244.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
23513624410318793


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 Avalanche-Columbus Blue Jackets-
2888Colorado Avalanche-Columbus Blue Jackets-
3190Columbus Blue Jackets-Colorado Avalanche-
3292Columbus Blue Jackets-Colorado Avalanche-
3594Colorado Avalanche-Columbus Blue Jackets-
3796Columbus Blue Jackets-Colorado Avalanche-
3998Colorado Avalanche-Columbus Blue Jackets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets91472921183
Assistance35,64029,16011,88023,7607,560
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
34 18000 - 100.00% 1,265,533$7,593,198$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$ 13 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 84,676,733$ 84,676,733$



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

[2026-08-13 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