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Columbus Blue Jackets
GP: 71 | W: 46 | L: 19 | OTL: 6 | P: 135
GF: 213 | GA: 166 | PP%: 20.27% | PK%: 83.33%
DG: Josh | Morale : 40 | Moyenne d’équipe : 77
Prochains matchs #999 vs Detroit Red Wings

Centre de jeu
Columbus Blue Jackets
46-19-6, 135pts
2
0 Seattle Kraken
29-36-6, 87pts
Team Stats
W4SéquenceL4
25-10-1Fiche domicile16-18-2
21-9-5Fiche visiteur13-18-4
7-3-0Derniers 10 matchs2-8-0
3.00Buts par match 2.45
2.34Buts contre par match 2.83
20.27%Pourcentage en avantage numérique18.15%
83.33%Pourcentage en désavantage numérique80.40%
Edmonton Oilers
33-26-12, 106pts
3
5 Columbus Blue Jackets
46-19-6, 135pts
Team Stats
L1SéquenceW4
15-12-8Fiche domicile25-10-1
18-14-4Fiche visiteur21-9-5
5-4-1Derniers 10 matchs7-3-0
2.62Buts par match 3.00
2.65Buts contre par match 2.34
13.45%Pourcentage en avantage numérique20.27%
83.04%Pourcentage en désavantage numérique83.33%
Detroit Red Wings
41-19-11, 126pts
Jour 173
Columbus Blue Jackets
46-19-6, 135pts
Statistiques d’équipe
W2SéquenceW4
18-11-7Fiche domicile25-10-1
23-8-4Fiche visiteur21-9-5
9-1-010 derniers matchs7-3-0
2.96Buts par match 3.00
2.59Buts contre par match 3.00
20.35%Pourcentage en avantage numérique20.27%
81.78%Pourcentage en désavantage numérique83.33%
Columbus Blue Jackets
46-19-6, 135pts
Jour 175
Chicago Blackhawks
39-24-8, 117pts
Statistiques d’équipe
W4SéquenceL1
25-10-1Fiche domicile18-11-5
21-9-5Fiche visiteur21-13-3
7-3-010 derniers matchs3-4-3
3.00Buts par match 2.85
2.34Buts contre par match 2.85
20.27%Pourcentage en avantage numérique16.60%
83.33%Pourcentage en désavantage numérique78.44%
Columbus Blue Jackets
46-19-6, 135pts
Jour 177
St Louis Blues
29-34-8, 91pts
Statistiques d’équipe
W4SéquenceL3
25-10-1Fiche domicile17-15-4
21-9-5Fiche visiteur12-19-4
7-3-010 derniers matchs3-6-1
3.00Buts par match 2.69
2.34Buts contre par match 2.69
20.27%Pourcentage en avantage numérique15.64%
83.33%Pourcentage en désavantage numérique81.00%
Meneurs d'équipe
Buts
Sean Monahan
35
Passes
Sean Monahan
47
Points
Sean Monahan
82
Plus/Moins
John Carlson
14
Victoires
Mackenzie Blackwood
41
Pourcentage d’arrêts
Mackenzie Blackwood
0.928

Statistiques d’équipe
Buts pour
213
3.00 GFG
Tirs pour
2265
31.90 Avg
Pourcentage en avantage numérique
20.3%
60 GF
Début de zone offensive
39.2%
Buts contre
166
2.34 GAA
Tirs contre
2088
29.41 Avg
Pourcentage en désavantage numérique
83.3%%
32 GA
Début de la zone défensive
38.4%
Informations de l'équipe

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


Informations de l’aréna

NomNationwide Arena
Capacité18,000
Assistance16,916
Billets de saison8,100


Informations de la formation

Équipe Pro21
Équipe Mineure29
Limite contact 50 / 250
Espoirs64


Finance

Revenu annuel à ce jour43,105,122$
Dépenses annuelles à ce jour67,483,421$
Revenus de la saison estimés4,789,458$
Dépenses de la saison estimées6,343,296$
Compte bancaire actuel78,390,846$
Compte bancaire projeté76,871,591$


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
1Adam Beckman (R)0X100.005940577565667455506259716170585540630243900,000$
Équipe Mineure
1Chris Wagner0X100.009445647566817674697577627782755540710341500,000$
2Will Cuylle (R)0X98.009952797280838368597572696968685540710233800,000$
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$
9Vasily Podkolzin (R)0X100.0095477276738174615670646766707055406802431,500,000$
10Brett Leason0X100.0072497963927879636664647162758255406702621,000,000$
11Jakob Pelletier (R)0X100.0057358087507575636469656870708055406702431,000,000$
12Sam Colangelo (R)0X100.006345837277756863576277636968785540670233900,000$
13Xavier Ouellet0X98.007746737385818370507364756280705540730313750,000$
14Olen Zellweger (R)0X96.0055358394588181675076687269637355407102131,000,000$
15Dan Renouf0X100.008175766987737265506362686078695540690312600,000$
16Calle Rosen0X100.005140797975717564506759696180725540680311600,000$
17Jaycob Megna0X100.005854696299747464506762695780815540680321600,000$
18Jon Merrill0X100.005648726784787968507062706081725540680331600,000$
19Brock McGinn0X92.617940797352757564676767706780785540670312665,000$
20Chris Kreider0X100.008653715484777761716565666082825540660341600,000$
21Matthew Peca0X100.005940797850767664796966646880635540660321600,000$
22Filip Zadina0X100.0058427973758081645565665767736555406502521,750,000$
23Mikko Lehtonen0X100.006544837276697161506559665877735540660312600,000$
24Nick Seeler0X100.005552657165717562506461705879695540660321625,000$
25Tim Heed0X100.005240778149727262506161756180665540660342750,000$
MOYENNE D’ÉQUIPE99.65724679797382827064747270707774554072
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 Blackwood095.0071889088919293939392927768554085N02812,760,000$
Équipe Mineure
1Collin Delia0100.007771718279798080797980776555407603121,071,427$
2Matt O'Connor097.00746565907679807878797881665540750331600,000$
3Roman Will0100.00775757807777787777777380655540730332750,000$
4Jeremy Smith0100.00786364787574757576747264655540710361500,000$
MOYENNE D’ÉQUIPE98.6775707283808182818181797867554076
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 JacketsC7135478213175791242336915015.02%29139519.65122436412710112777256.02%14445123121.1815100664
2Carter VerhaegheColumbus Blue JacketsLW712441659435100852327111610.34%29134919.00131932562700110352234.18%795930320.9615100531
3Chris TierneyColumbus Blue JacketsC71183452723555108203461138.87%33123517.415914192100002225154.73%10673418000.8400001323
4Dominik KubalikColumbus Blue JacketsLW712328516475162841914412012.04%29129918.316814202111014656142.16%1024420010.7801010526
5Anthony BeauvillierColumbus Blue JacketsRW712420447551516986167478914.37%27129418.2312102241268000003047.42%973517100.6800201315
6Vincent TrocheckColumbus Blue JacketsC712321447160129150240741539.58%30123017.330000100051846056.79%12736124000.7235000362
7Valeri NichushkinColumbus Blue JacketsRW7120173753315122851785311411.24%25131818.585510122090001984242.31%522825010.5614030057
8Matt DumbaColumbus Blue JacketsD716273323752001158645506.98%79185526.1321214182921016177120%03854000.3600001017
9Zach WerenskiColumbus Blue JacketsD7161925-325253210010438265.77%80176624.884711202930005114100%04253000.2800311012
10J.J. MoserColumbus Blue JacketsD681222342810271119037421.11%94143621.1312311184000024000%02943000.3200011000
11Conor GarlandColumbus Blue JacketsLW67913224240436511828827.63%1696414.39000050002104053.06%49277000.4600000141
12Riley StillmanColumbus Blue JacketsD7122022541151541066624273.03%85153321.5903311270001123000%01154000.2900102131
13Nino NiederreiterColumbus Blue JacketsRW718111925551268212544906.40%22100314.130000001191403032.76%582821000.3800001022
14Bryan RustColumbus Blue JacketsRW7178150431573399326647.53%85718.0500008000001131.25%16139000.5200120100
15John CarlsonColumbus Blue JacketsD7101111141002044171170%3880711.3800005011012000%0120000.2700000000
16Hampus LindholmColumbus Blue JacketsD71191013281028953719142.70%50112715.890002720002203000%01144000.1800110000
17Jonathan DrouinColumbus Blue JacketsLW65369-39514306319354.76%84426.8100000000011035.29%17127000.4100001100
18Curtis LazarColumbus Blue JacketsC60112-22355731217114.76%103756.2700005000010044.17%12032000.1100001000
19Adam BeckmanColumbus Blue JacketsLW19000-100220000%0371.9700001000014000%00200000000000
20Tim HeedCleveland Monsters (CBJ)D5000100221010%2397.880000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne12782113555669055714515941544226570213049.32%6942108516.5060991592412440246391308441154.02%4374527473560.5462010910293641
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 Jackets62411550.9282.093670251281787748160.625166191186
2Semyon VarlamovColumbus Blue Jackets115410.9022.816200029295132100.25041061300
Statistiques d’équipe totales ou en moyenne73461960.9252.204290251572082880262071701486


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
Adam BeckmanColumbus Blue JacketsLW242001-05-10CANYes183 Lbs6 ft2NoNoFree AgentNoNo32025-10-26FalseFalsePro & Farm900,000$76,596$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Anthony Beauvillier (contrat à 1 volet)Columbus Blue JacketsRW281997-06-08CANNo181 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,166,667$439,716$0$0$No---------------------------Lien
Bryan Rust (contrat à 1 volet)Columbus Blue JacketsRW331992-05-11USANo192 Lbs5 ft11NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm4,000,000$340,426$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$382,979$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$595,745$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$142,128$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$255,319$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$382,979$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$297,872$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$255,319$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$261,021$0$0$No---------------------------Lien
Jonathan DrouinColumbus Blue JacketsLW301995-03-28CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,670,000$142,128$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$234,894$0$0$No---------------------------Lien
Matt Dumba (contrat à 1 volet)Columbus Blue JacketsD301994-07-25CANNo181 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm3,250,000$276,596$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$306,383$0$0$No---------------------------Lien
Riley StillmanColumbus Blue JacketsD271998-03-09CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,450,000$123,404$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$472,340$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$234,043$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$357,447$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$340,426$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$255,319$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.81198 Lbs6 ft12.483,453,984$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
72,533,667$57,940,000$30,690,000$13,670,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carter VerhaegheSean MonahanAnthony Beauvillier34023
2Dominik KubalikChris TierneyValeri Nichushkin33023
3Conor GarlandVincent TrocheckNino Niederreiter33023
4Jonathan DrouinCurtis LazarBryan Rust0023
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 : , #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 Ducks42001001151232200000010732000100155090.7501525400065311152641475129375210225520.00%16475.00%1919170353.96%904166854.20%54097655.33%945282397338
2Boston Bruins21001000523110000003121000100021150.8335712001031682216291601663310110.00%30100.00%0919170353.96%904166854.20%54097655.33%472838153318
3California Golden Seals4300100015692200000073421001000835110.917152439016261133472460211435378510330.00%11281.82%0919170353.96%904166854.20%54097655.33%935682356933
4Carolina Hurricanes22000000734110000005231100000021161.00071118002140642215270571412518225.00%6183.33%0919170353.96%904166854.20%54097655.33%462739173417
5Chicago Blackhawks3020001069-32020000026-41000001043120.222610161011319435332648029207210110.00%10280.00%0919170353.96%904166854.20%54097655.33%673964265226
6Colorado Avalanche22000000725110000003121100000041361.000710170040306126211406024632900.00%30100.00%0919170353.96%904166854.20%54097655.33%422442183418
7Detroit Red Wings31101000981100010004312110000055050.556917260033219237193519828145410110.00%7271.43%0919170353.96%904166854.20%54097655.33%674261265025
8Edmonton Oilers4210010010100211000006602100010044070.58310162600055014446564201193432968225.00%110100.00%0919170353.96%904166854.20%54097655.33%885486356532
9Florida Panthers21001000817110000006061000100021150.83381321014211652917181531717336116.67%6183.33%0919170353.96%904166854.20%54097655.33%473040173215
10Hamilton Mustangs2010010035-21010000012-11000010023-110.16736900111077242724261148516116.67%40100.00%0919170353.96%904166854.20%54097655.33%473041163116
11Los Angeles Kings42200000880220000004132020000047-360.5008142211233012239344901154132808112.50%16193.75%0919170353.96%904166854.20%54097655.33%864986366733
12Montreal Canadiens21100000541110000003121010000023-130.5005813001220602613210633810458225.00%5180.00%0919170353.96%904166854.20%54097655.33%442640173417
13New Jersey Devils22000000624110000001011100000052361.00061117011320601519260542264213323.08%30100.00%0919170353.96%904166854.20%54097655.33%422342183518
14New York Islanders2010100048-4100010003211010000016-520.3334610002011581921171693026411317.69%3166.67%0919170353.96%904166854.20%54097655.33%452641163418
15New York Rangers2000010146-21000000123-11000010023-120.3334711003102592618127582014485240.00%70100.00%0919170353.96%904166854.20%54097655.33%432445183617
16Ottawa Senators2010100078-11010000024-21000100054120.33371219001141551613251542713487342.86%4250.00%0919170353.96%904166854.20%54097655.33%422442173518
17Philadelphia Flyers22000000624110000003121100000031261.00069150020405716202106219144610220.00%70100.00%0919170353.96%904166854.20%54097655.33%422445183216
18Pittsburgh Penguins22000000633110000002111100000042261.0006121800222058162418072194318112.50%2150.00%0919170353.96%904166854.20%54097655.33%422546153016
19Quebec Nordiques22000000633110000003121100000032161.0006915002130572420130701225484125.00%5180.00%0919170353.96%904166854.20%54097655.33%452741173316
20San Jose Sharks41200001812-42110000056-12010000136-340.333814220002611344541485105492310427311.11%9544.44%0919170353.96%904166854.20%54097655.33%1016073357038
21Seattle Kraken4300001011562100001053222000000624110.9171118290143321365154268117454110113430.77%18194.44%0919170353.96%904166854.20%54097655.33%925484356833
22St Louis Blues30300000915-620200000711-41010000024-200.00091625302430103452830095272975900.00%7185.71%0919170353.96%904166854.20%54097655.33%684262254824
23Tampa Bay Lightning20200000814-61010000046-21010000048-400.000812201033207014243205715104613430.77%5340.00%1919170353.96%904166854.20%54097655.33%482936173417
24Toronto Maple Leafs211000008621010000024-21100000062430.50081321002240591814270632225317342.86%50100.00%0919170353.96%904166854.20%54097655.33%432642173318
25Vancouver Canucks431000001587220000008352110000075290.7501525400083401354747410962341112341132.35%8362.50%0919170353.96%904166854.20%54097655.33%985772346938
26Vegas Golden Knights220000001028110000005141100000051461.000101626005320602815170491730426116.67%50100.00%0919170353.96%904166854.20%54097655.33%473037173417
27Winnipeg Jets22000000725110000003121100000041361.00071421004210692720220582012459111.11%60100.00%0919170353.96%904166854.20%54097655.33%462740173317
Total7137190732321316647362210020111098029351590531210486181350.6342133555686572557713226578669476738208869455915942966020.27%1923283.33%2919170353.96%904166854.20%54097655.33%162797114596251212624
_Since Last GM Reset7137190732321316647362210020111098029351590531210486181350.6342133555686572557713226578669476738208869455915942966020.27%1923283.33%2919170353.96%904166854.20%54097655.33%162797114596251212624
_Vs Conference4323120312213099312214601010695217219602112614714820.636130219349534536447139849943345725123540936910001783318.54%1272183.46%1919170353.96%904166854.20%54097655.33%996593875383738378
_Vs Division17770111048462935010002528-38420011023185260.510488313140141517256321617716955101621133745559.09%44588.64%0919170353.96%904166854.20%54097655.33%382230358149285145

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
71135W421335556822652088694559159465
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7137197323213166
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
362210201110980
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
35159531210486
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2966020.27%1923283.33%2
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
7866947673872557713
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
919170353.96%904166854.20%54097655.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
162797114596251212624


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
29Winnipeg Jets1Columbus Blue Jackets3WSommaire du match
422Columbus Blue Jackets4Colorado Avalanche1WSommaire du match
640St Louis Blues5Columbus Blue Jackets3LSommaire du match
852Columbus Blue Jackets4Chicago Blackhawks3WXXSommaire du match
1066Columbus Blue Jackets1Detroit Red Wings3LSommaire du match
1280Columbus Blue Jackets2Edmonton Oilers1WSommaire du match
1498Vegas Golden Knights1Columbus Blue Jackets5WSommaire du match
16112Columbus Blue Jackets5Ottawa Senators4WXSommaire du match
17119Quebec Nordiques1Columbus Blue Jackets3WSommaire du match
20139Columbus Blue Jackets2Hamilton Mustangs3LXSommaire du match
24151Columbus Blue Jackets4Seattle Kraken2WSommaire du match
26162Anaheim Mighty Ducks3Columbus Blue Jackets4WSommaire du match
30182Columbus Blue Jackets2Vancouver Canucks3LSommaire du match
33196Columbus Blue Jackets1San Jose Sharks2LXXSommaire du match
36210Columbus Blue Jackets4California Golden Seals0WSommaire du match
38219Los Angeles Kings1Columbus Blue Jackets2WSommaire du match
41233Columbus Blue Jackets2Los Angeles Kings3LSommaire du match
45250California Golden Seals1Columbus Blue Jackets2WSommaire du match
48263San Jose Sharks1Columbus Blue Jackets4WSommaire du match
51277Vancouver Canucks1Columbus Blue Jackets2WSommaire du match
54290Columbus Blue Jackets1Anaheim Mighty Ducks2LXXSommaire du match
57305Seattle Kraken1Columbus Blue Jackets2WSommaire du match
60320Pittsburgh Penguins1Columbus Blue Jackets2WSommaire du match
62330Columbus Blue Jackets5New Jersey Devils2WSommaire du match
63340New York Rangers3Columbus Blue Jackets2LXXSommaire du match
65354Columbus Blue Jackets2Boston Bruins1WXSommaire du match
68376Edmonton Oilers3Columbus Blue Jackets1LSommaire du match
70390Detroit Red Wings3Columbus Blue Jackets4WXSommaire du match
72404Chicago Blackhawks4Columbus Blue Jackets2LSommaire du match
74418Columbus Blue Jackets2St Louis Blues4LSommaire du match
77429Toronto Maple Leafs4Columbus Blue Jackets2LSommaire du match
79446Montreal Canadiens1Columbus Blue Jackets3WSommaire du match
81457Columbus Blue Jackets3Philadelphia Flyers1WSommaire du match
84472Columbus Blue Jackets2San Jose Sharks4LSommaire du match
86485Columbus Blue Jackets4California Golden Seals3WXSommaire du match
89500Los Angeles Kings0Columbus Blue Jackets2WSommaire du match
91508Florida Panthers0Columbus Blue Jackets6WSommaire du match
94529Columbus Blue Jackets2Florida Panthers1WXSommaire du match
96540Columbus Blue Jackets1New York Islanders6LSommaire du match
97547New York Islanders2Columbus Blue Jackets3WXSommaire du match
99566Tampa Bay Lightning6Columbus Blue Jackets4LSommaire du match
101576Columbus Blue Jackets2Carolina Hurricanes1WSommaire du match
103591Colorado Avalanche1Columbus Blue Jackets3WSommaire du match
106607Columbus Blue Jackets4Winnipeg Jets1WSommaire du match
110626Columbus Blue Jackets5Vegas Golden Knights1WSommaire du match
114644Seattle Kraken2Columbus Blue Jackets3WXXSommaire du match
117657Columbus Blue Jackets4Anaheim Mighty Ducks3WXSommaire du match
119665Vancouver Canucks2Columbus Blue Jackets6WSommaire du match
121676Columbus Blue Jackets2New York Rangers3LXSommaire du match
123690New Jersey Devils0Columbus Blue Jackets1WSommaire du match
125707Columbus Blue Jackets4Pittsburgh Penguins2WSommaire du match
127719Hamilton Mustangs2Columbus Blue Jackets1LSommaire du match
130741Columbus Blue Jackets3Quebec Nordiques2WSommaire du match
132756Ottawa Senators4Columbus Blue Jackets2LSommaire du match
135766Columbus Blue Jackets2Edmonton Oilers3LXSommaire du match
137780Columbus Blue Jackets4Detroit Red Wings2WSommaire du match
139794Chicago Blackhawks2Columbus Blue Jackets0LSommaire du match
142810St Louis Blues6Columbus Blue Jackets4LSommaire du match
144824Boston Bruins1Columbus Blue Jackets3WSommaire du match
147835Columbus Blue Jackets6Toronto Maple Leafs2WSommaire du match
149847Columbus Blue Jackets2Montreal Canadiens3LSommaire du match
151855Philadelphia Flyers1Columbus Blue Jackets3WSommaire du match
153872Columbus Blue Jackets4Tampa Bay Lightning8LSommaire du match
156887Carolina Hurricanes2Columbus Blue Jackets5WSommaire du match
158899San Jose Sharks5Columbus Blue Jackets1LSommaire du match
160912California Golden Seals2Columbus Blue Jackets5WSommaire du match
162927Columbus Blue Jackets2Los Angeles Kings4LSommaire du match
164941Columbus Blue Jackets5Vancouver Canucks2WSommaire du match
166955Anaheim Mighty Ducks4Columbus Blue Jackets6WSommaire du match
168970Columbus Blue Jackets2Seattle Kraken0WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171985Edmonton Oilers3Columbus Blue Jackets5WSommaire du match
173999Detroit Red Wings-Columbus Blue Jackets-
1751013Columbus Blue Jackets-Chicago Blackhawks-
1771027Columbus Blue Jackets-St Louis Blues-
1801044Colorado Avalanche-Columbus Blue Jackets-
1811058Columbus Blue Jackets-Colorado Avalanche-
1831073Winnipeg Jets-Columbus Blue Jackets-
1841087Columbus Blue Jackets-Winnipeg Jets-
1861106Vegas Golden Knights-Columbus Blue Jackets-
1871120Columbus Blue Jackets-Vegas Golden Knights-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets91472921183
Assistance201,854162,28866,664134,79243,388
Attendance PCT94.39%92.76%93.52%94.55%95.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 16916 - 93.98% 1,197,365$43,105,122$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
67,483,421$ 74,533,667$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 67,483,421$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,789,458$ 16 396,456$ 6,343,296$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
6,539,056$ 78,390,846$ 76,871,591$



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

[2026-06-30 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!



Brock McGinn est dehors pour 3 jours à cause de Abdomen/Ribs Injury.



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