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

Columbus Blue Jackets
GP: 18 | W: 12 | L: 4 | OTL: 2 | P: 36
GF: 53 | GA: 38 | PP%: 21.54% | PK%: 86.79%
DG: Josh | Morale : 40 | Moyenne d’équipe : 78
Prochains matchs #263 vs San Jose Sharks

Centre de jeu
Columbus Blue Jackets
12-4-2, 36pts
2
3 Los Angeles Kings
12-6-0, 33pts
Team Stats
W1SéquenceL1
6-1-0Fiche domicile6-4-0
6-3-2Fiche visiteur6-2-0
6-2-2Derniers 10 matchs6-4-0
2.94Buts par match 2.94
2.11Buts contre par match 2.28
21.54%Pourcentage en avantage numérique14.46%
86.79%Pourcentage en désavantage numérique88.46%
California Golden Seals
7-9-2, 21pts
1
2 Columbus Blue Jackets
12-4-2, 36pts
Team Stats
L1SéquenceW1
3-5-1Fiche domicile6-1-0
4-4-1Fiche visiteur6-3-2
3-5-2Derniers 10 matchs6-2-2
2.11Buts par match 2.94
2.61Buts contre par match 2.11
22.95%Pourcentage en avantage numérique21.54%
82.19%Pourcentage en désavantage numérique86.79%
San Jose Sharks
5-11-2, 15pts
Jour 48
Columbus Blue Jackets
12-4-2, 36pts
Statistiques d’équipe
W1SéquenceW1
4-3-1Fiche domicile6-1-0
1-8-1Fiche visiteur6-3-2
3-7-010 derniers matchs6-2-2
2.11Buts par match 2.94
3.33Buts contre par match 2.94
15.25%Pourcentage en avantage numérique21.54%
76.04%Pourcentage en désavantage numérique86.79%
Vancouver Canucks
7-7-4, 22pts
Jour 51
Columbus Blue Jackets
12-4-2, 36pts
Statistiques d’équipe
W1SéquenceW1
6-4-1Fiche domicile6-1-0
1-3-3Fiche visiteur6-3-2
4-3-310 derniers matchs6-2-2
2.22Buts par match 2.94
2.72Buts contre par match 2.94
22.22%Pourcentage en avantage numérique21.54%
81.25%Pourcentage en désavantage numérique86.79%
Columbus Blue Jackets
12-4-2, 36pts
Jour 54
Anaheim Mighty Ducks
10-6-2, 28pts
Statistiques d’équipe
W1SéquenceL1
6-1-0Fiche domicile4-5-1
6-3-2Fiche visiteur6-1-1
6-2-210 derniers matchs4-5-1
2.94Buts par match 3.11
2.11Buts contre par match 3.11
21.54%Pourcentage en avantage numérique29.51%
86.79%Pourcentage en désavantage numérique80.46%
Meneurs d'équipe
Buts
Sean Monahan
12
Passes
Sean Monahan
11
Points
Sean Monahan
23
Plus/Moins
Sean Monahan
7
Victoires
Mackenzie Blackwood
12
Pourcentage d’arrêts
Mackenzie Blackwood
0.926

Statistiques d’équipe
Buts pour
53
2.94 GFG
Tirs pour
580
32.22 Avg
Pourcentage en avantage numérique
21.5%
14 GF
Début de zone offensive
39.7%
Buts contre
38
2.11 GAA
Tirs contre
485
26.94 Avg
Pourcentage en désavantage numérique
86.8%%
7 GA
Début de la zone défensive
37.8%
Informations de l'équipe

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


Informations de l’aréna

NomNationwide Arena
Capacité18,000
Assistance15,804
Billets de saison8,100


Informations de la formation

Équipe Pro20
Équipe Mineure30
Limite contact 50 / 250
Espoirs64


Finance

Revenu annuel à ce jour8,046,053$
Dépenses annuelles à ce jour17,625,060$
Revenus de la saison estimés37,931,393$
Dépenses de la saison estimées56,008,524$
Compte bancaire actuel89,543,979$
Compte bancaire projeté71,519,851$


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 Verhaeghe0X99.0069457890708990836987907284786755407902944,500,000$
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 Wagner0X99.009445647566817674697577627782755540710341500,000$
2Will Cuylle (R)0X100.009952797280838368597572696968685540710233800,000$
3Mark Arcobello0X99.0084368286498181748478706085765540407003621,500,000$
4Lars Eller0X100.0078476967778079717871736470857455407003621,500,000$
5Eric Robinson0X100.008150797077787961666466706579735540680303600,000$
6Frank Nazar (R)0X99.0054358091538181607873685971637355406802131,750,000$
7Mackenzie MacEachern0X100.008546687275777664636766716679705540680312665,000$
8Sean Kuraly0X100.008551666477798666817166666580735540680321625,000$
9Vasily Podkolzin (R)0X100.0095477276738174615670646766707055406802431,500,000$
10Jakob Pelletier (R)0X99.0057358087507575636469656870708055406702431,000,000$
11Filip Zadina0X100.0058427973758081645565665767736555406502521,750,000$
12Adam Beckman (R)0X100.005940577565667455506259716170585540630243900,000$
13Xavier Ouellet0X99.007746737385818370507364756280705540730313750,000$
14Olen Zellweger (R)0X99.0055358394588181675076687269637355407102131,000,000$
15Dan Renouf0X99.008175766987737265506362686078695540690312600,000$
16Jon Merrill0X99.005648726784787968507062706081725540680331600,000$
17Mikko Lehtonen0X100.006544837276697161506559665877735540660312600,000$
18Nick Seeler0X100.005552657165717562506461705879695540660321625,000$
19Brett Leason0X94.6272497963927879636664647162758255406702621,000,000$
20Brock McGinn0X100.007940797352757564676767706780785540670312665,000$
21Sam Colangelo (R)0X98.476345837277756863576277636968785540670233900,000$
22Chris Kreider0X100.008653715484777761716565666082825540660341600,000$
23Matthew Peca0X100.005940797850767664796966646880635540660321600,000$
24Calle Rosen0X100.005140797975717564506759696180725540680311600,000$
25Jaycob Megna0X100.005854696299747464506762695780815540680321600,000$
26Tim Heed0X100.005240778149727262506161756180665540660342750,000$
MOYENNE D’ÉQUIPE99.64724679797382827064747270707774554072
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 Delia097.007771718279798080797980776555407603121,071,427$
2Roman Will0100.00775757807777787777777380655540730332750,000$
3Matt O'Connor0100.00746565907679807878797881665540750331600,000$
4Jeremy Smith0100.00786364787574757576747264655540710361500,000$
MOYENNE D’ÉQUIPE99.5075707283808182818181797867554076
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 JacketsC18121123720233069204117.39%1035119.53651112580002252056.34%355102001.3102000211
2Carter VerhaegheColumbus Blue JacketsLW1841115512033166018186.67%433718.721677580000111034.78%23172100.8902000111
3Anthony BeauvillierColumbus Blue JacketsRW187714410040185282313.46%732017.813361358000000058.62%2953000.8700000111
4Chris TierneyColumbus Blue JacketsC18310132751521549285.56%730516.98033447000061054.04%285126000.8500001101
5Dominik KubalikColumbus Blue JacketsLW1865112100471554133711.11%832518.061015470001172152.94%3487000.6801000113
6Vincent TrocheckColumbus Blue JacketsC185510160254150162810.00%729416.37000000002472058.80%284175000.6812000020
7Bryan RustColumbus Blue JacketsRW184481271532164311239.30%323913.2900001000000140.00%1057000.6700120000
8Valeri NichushkinColumbus Blue JacketsRW1844829536325116297.84%635619.831122470000492131.82%2249000.4512010012
9Matt DumbaColumbus Blue JacketsD18167-21355428237114.35%2547826.60134465000149000%0813000.2900001001
10Conor GarlandColumbus Blue JacketsLW182460801422235198.70%224613.7000001000030057.89%1982000.4900000010
11Riley StillmanColumbus Blue JacketsD180664135422711990%1635519.7400000000038000%0214000.3400100100
12Zach WerenskiColumbus Blue JacketsD18246-1101093021689.52%1346225.67123365000235000%01020000.2600011010
13J.J. MoserColumbus Blue JacketsD18055400533199100%2337720.9400004000008000%01613000.2700000000
14Hampus LindholmColumbus Blue JacketsD18022526105257020%1130216.81000040000053000%0310000.1300110000
15John CarlsonColumbus Blue JacketsD18022640492300%619811.030000000003000%017000.2000000000
16Jonathan DrouinColumbus Blue JacketsLW1811202028183135.56%11166.4900000000000033.33%641000.3400000000
17Nino NiederreiterColumbus Blue JacketsRW181120003115174175.88%11468.15000000004251025.00%453000.2700000000
18Curtis LazarColumbus Blue JacketsC1800001002796440%31256.9600000000000050.00%321000000000000
Statistiques d’équipe totales ou en moyenne324528814040169554443955801613208.97%153534016.48142337505350001237611354.85%1103136124100.52293537910
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 Jackets1812420.9261.9810902136484207110.5569180314
Statistiques d’équipe totales ou en moyenne1812420.9261.9810902136484207119180314


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$3,929,965$0$0$No---------------------------Lien
Bryan Rust (contrat à 1 volet)Columbus Blue JacketsRW331992-05-11USANo192 Lbs5 ft11NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm4,000,000$3,042,553$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$3,422,872$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$5,324,468$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$1,270,266$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$2,281,915$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$3,422,872$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$2,662,234$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$2,281,915$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$2,332,878$0$0$No---------------------------Lien
Jonathan DrouinColumbus Blue JacketsLW301995-03-28CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,670,000$1,270,266$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$2,099,362$0$0$No---------------------------Lien
Matt Dumba (contrat à 1 volet)Columbus Blue JacketsD301994-07-25CANNo181 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm3,250,000$2,472,074$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$2,738,298$0$0$No---------------------------Lien
Riley StillmanColumbus Blue JacketsD271998-03-09CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,450,000$1,102,926$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$4,221,543$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$2,091,755$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$3,194,681$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$3,042,553$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$2,281,915$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 Beauvillier34023
2Dominik KubalikChris TierneyValeri Nichushkin33023
3Conor GarlandVincent TrocheckBryan Rust33023
4Jonathan DrouinCurtis LazarNino Niederreiter0023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt DumbaZach Werenski40032
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
2Hampus LindholmJ.J. Moser40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vincent TrocheckValeri Nichushkin60050
2Sean MonahanNino Niederreiter40050
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 Kubalik60041
2Chris TierneyAnthony Beauvillier40041
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt DumbaZach Werenski60050
2Hampus LindholmJ.J. Moser40050
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 : Mackenzie Blackwood, #2 : Semyon Varlamov
Lignes d’attaque personnalisées en prolongation
Sean Monahan, Vincent Trocheck, Valeri Nichushkin, Carter Verhaeghe, Chris Tierney, Anthony Beauvillier, Dominik Kubalik, , ,
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 Ducks11000000431110000004310000000000031.00047110021103181490371517283133.33%6266.67%024043555.17%22941555.18%13624755.06%2212218168
2California Golden Seals22000000615110000002111100000040461.00061117013030652710280522122463133.33%60100.00%024043555.17%22941555.18%13624755.06%472940173215
3Chicago Blackhawks10000010431000000000001000001043120.667461000102138121794199429200.00%20100.00%024043555.17%22941555.18%13624755.06%2717189199
4Colorado Avalanche11000000413000000000001100000041331.00045900202028139602610614600.00%30100.00%024043555.17%22941555.18%13624755.06%20112010189
5Detroit Red Wings1010000013-2000000000001010000013-200.00012300100027171903356174125.00%3166.67%024043555.17%22941555.18%13624755.06%2012229177
6Edmonton Oilers11000000211000000000001100000021131.0002350001104091615023614313133.33%20100.00%024043555.17%22941555.18%13624755.06%2314208168
7Hamilton Mustangs1000010023-1000000000001000010023-110.333246000110375141623344254125.00%20100.00%024043555.17%22941555.18%13624755.06%2213229158
8Los Angeles Kings21100000440110000002111010000023-130.5004610001120672216290501520443133.33%10190.00%024043555.17%22941555.18%13624755.06%422443183416
9Ottawa Senators10001000541000000000001000100054120.667581300013123551212584214250.00%2150.00%024043555.17%22941555.18%13624755.06%2011198199
10Quebec Nordiques11000000312110000003120000000000031.0003690001203213118031417242150.00%10100.00%024043555.17%22941555.18%13624755.06%2415189178
11San Jose Sharks1000000112-1000000000001000000112-110.33312300001134157125241223110110.00%10100.00%024043555.17%22941555.18%13624755.06%27161891810
12Seattle Kraken11000000422000000000001100000042231.000471100211033161160291015265240.00%5180.00%024043555.17%22941555.18%13624755.06%2313218157
13St Louis Blues1010000035-21010000035-20000000000000.00035810111036208802871922100.00%20100.00%024043555.17%22941555.18%13624755.06%2214207178
14Vancouver Canucks1010000023-1000000000001010000023-100.000235001010291496023911376116.67%3166.67%024043555.17%22941555.18%13624755.06%2212199189
15Vegas Golden Knights11000000514110000005140000000000031.000571200302026123110288419300.00%20100.00%024043555.17%22941555.18%13624755.06%2214208178
16Winnipeg Jets11000000312110000003120000000000031.00036900210034131011024106306116.67%30100.00%024043555.17%22941555.18%13624755.06%2414188169
Total1810401111533815761000002213911430111131256360.66753881411119923358022116119512485153171444651421.54%53786.79%024043555.17%22941555.18%13624755.06%415248364161311157
_Since Last GM Reset1810401111533815761000002213911430111131256360.66753881411119923358022116119512485153171444651421.54%53786.79%024043555.17%22941555.18%13624755.06%415248364161311157
_Vs Conference15940001143301365100000191279430001124186300.6674370113111961724881981311599396137146374551018.18%48687.50%024043555.17%22941555.18%13624755.06%347207303134258130
_Vs Division632000101714321100000660421000101183110.6111727441073612038461584153475514322313.64%15193.33%024043555.17%22941555.18%13624755.06%140831195310554

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1836W1538814158048515317144411
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1810411115338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
76100002213
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
114311113125
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
651421.54%53786.79%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
22116119512199233
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
24043555.17%22941555.18%13624755.06%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
415248364161311157


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 Sharks-Columbus Blue Jackets-
51277Vancouver Canucks-Columbus Blue Jackets-
54290Columbus Blue Jackets-Anaheim Mighty Ducks-
57305Seattle Kraken-Columbus Blue Jackets-
60320Pittsburgh Penguins-Columbus Blue Jackets-
62330Columbus Blue Jackets-New Jersey Devils-
63340New York Rangers-Columbus Blue Jackets-
65354Columbus Blue Jackets-Boston Bruins-
68376Edmonton Oilers-Columbus Blue Jackets-
70390Detroit Red Wings-Columbus Blue Jackets-
72404Chicago Blackhawks-Columbus Blue Jackets-
74418Columbus Blue Jackets-St Louis Blues-
77429Toronto Maple Leafs-Columbus Blue Jackets-
79446Montreal Canadiens-Columbus Blue Jackets-
81457Columbus Blue Jackets-Philadelphia Flyers-
84472Columbus Blue Jackets-San Jose Sharks-
86485Columbus Blue Jackets-California Golden Seals-
89500Los Angeles Kings-Columbus Blue Jackets-
91508Florida Panthers-Columbus Blue Jackets-
94529Columbus Blue Jackets-Florida Panthers-
96540Columbus Blue Jackets-New York Islanders-
97547New York Islanders-Columbus Blue Jackets-
99566Tampa Bay Lightning-Columbus Blue Jackets-
101576Columbus Blue Jackets-Carolina Hurricanes-
103591Colorado Avalanche-Columbus Blue Jackets-
106607Columbus Blue Jackets-Winnipeg Jets-
110626Columbus Blue Jackets-Vegas Golden Knights-
114644Seattle Kraken-Columbus Blue Jackets-
117657Columbus Blue Jackets-Anaheim Mighty Ducks-
119665Vancouver Canucks-Columbus Blue Jackets-
121676Columbus Blue Jackets-New York Rangers-
123690New Jersey Devils-Columbus Blue Jackets-
125707Columbus Blue Jackets-Pittsburgh Penguins-
127719Hamilton Mustangs-Columbus Blue Jackets-
130741Columbus Blue Jackets-Quebec Nordiques-
132756Ottawa Senators-Columbus Blue Jackets-
135766Columbus Blue Jackets-Edmonton Oilers-
137780Columbus Blue Jackets-Detroit Red Wings-
139794Chicago Blackhawks-Columbus Blue Jackets-
142810St Louis Blues-Columbus Blue Jackets-
144824Boston Bruins-Columbus Blue Jackets-
147835Columbus Blue Jackets-Toronto Maple Leafs-
149847Columbus Blue Jackets-Montreal Canadiens-
151855Philadelphia Flyers-Columbus Blue Jackets-
153872Columbus Blue Jackets-Tampa Bay Lightning-
156887Carolina Hurricanes-Columbus Blue Jackets-
158899San Jose Sharks-Columbus Blue Jackets-
160912California Golden Seals-Columbus Blue Jackets-
162927Columbus Blue Jackets-Los Angeles Kings-
164941Columbus Blue Jackets-Vancouver Canucks-
166955Anaheim Mighty Ducks-Columbus Blue Jackets-
168970Columbus Blue Jackets-Seattle Kraken-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171985Edmonton Oilers-Columbus Blue Jackets-
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
Assistance36,90829,30212,05324,0268,336
Attendance PCT88.76%86.13%86.96%86.67%94.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 15804 - 87.80% 1,149,436$8,046,053$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
17,625,060$ 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$ 17,625,060$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
37,931,393$ 143 391,668$ 56,008,524$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
57,826,626$ 89,543,979$ 71,519,851$



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
Mackenzie MacEachernAGE:31PO: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
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

[2026-03-04 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!



Brett Leason est dehors pour 1 jours à cause de Separated Right Shoulder 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