Connexion

Blue Jackets
GP: 70 | W: 28 | L: 36 | OTL: 6 | P: 62
GF: 205 | GA: 238 | PP%: 16.48% | PK%: 82.28%
DG: David Kosarek | Morale : 50 | Moyenne d’équipe : 67
#1133 vs Coyotes
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Centre de jeu
Blue Jackets
28-36-6, 62pts
2
FINAL
6 Avalanche
49-17-5, 103pts
Team Stats
W1SéquenceL1
19-16-1Fiche domicile25-7-2
9-20-5Fiche visiteur24-10-3
4-6-0Derniers 10 matchs8-2-0
2.93Buts par match 3.69
3.40Buts contre par match 2.63
16.48%Pourcentage en avantage numérique22.56%
82.28%Pourcentage en désavantage numérique84.15%
Blue Jackets
28-36-6, 62pts
3
FINAL
1 Golden Knights
35-26-9, 79pts
Team Stats
W1SéquenceL1
19-16-1Fiche domicile18-13-5
9-20-5Fiche visiteur17-13-4
4-6-0Derniers 10 matchs5-3-2
2.93Buts par match 3.13
3.40Buts contre par match 2.87
16.48%Pourcentage en avantage numérique14.06%
82.28%Pourcentage en désavantage numérique83.53%
Blue Jackets
28-36-6, 62pts
Jour 139
Coyotes
34-31-5, 73pts
Statistiques d’équipe
W1SéquenceL1
19-16-1Fiche domicile17-14-3
9-20-5Fiche visiteur17-17-2
4-6-010 derniers matchs5-4-1
2.93Buts par match 3.17
3.40Buts contre par match 3.17
16.48%Pourcentage en avantage numérique18.49%
82.28%Pourcentage en désavantage numérique80.95%
Blue Jackets
28-36-6, 62pts
Jour 141
Penguins
32-35-3, 67pts
Statistiques d’équipe
W1SéquenceW1
19-16-1Fiche domicile22-12-1
9-20-5Fiche visiteur10-23-2
4-6-010 derniers matchs5-5-0
2.93Buts par match 3.11
3.40Buts contre par match 3.11
16.48%Pourcentage en avantage numérique19.67%
82.28%Pourcentage en désavantage numérique85.52%
Penguins
32-35-3, 67pts
Jour 143
Blue Jackets
28-36-6, 62pts
Statistiques d’équipe
W1SéquenceW1
22-12-1Fiche domicile19-16-1
10-23-2Fiche visiteur9-20-5
5-5-010 derniers matchs4-6-0
3.11Buts par match 2.93
3.27Buts contre par match 2.93
19.67%Pourcentage en avantage numérique16.48%
85.52%Pourcentage en désavantage numérique82.28%
Meneurs d'équipe
Tage ThompsonButs
Tage Thompson
40
Tage ThompsonPasses
Tage Thompson
37
Tage ThompsonPoints
Tage Thompson
77
Tage ThompsonPlus/Moins
Tage Thompson
12
Sergei BobrovskyVictoires
Sergei Bobrovsky
22
Sergei BobrovskyPourcentage d’arrêts
Sergei Bobrovsky
0.886

Statistiques d’équipe
Buts pour
205
2.93 GFG
Tirs pour
1978
28.26 Avg
Pourcentage en avantage numérique
16.5%
43 GF
Début de zone offensive
40.5%
Buts contre
238
3.40 GAA
Tirs contre
1961
28.01 Avg
Pourcentage en désavantage numérique
82.3%%
42 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralDavid Kosarek
EntraîneurPascal Vincent
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1Jeff Petry
Assistant #2


Informations de l’aréna

NomNationwide Arena
Capacité20,000
Assistance19,625
Billets de saison10,000


Informations de la formation

Équipe Pro22
Équipe Mineure24
Limite contact 46 / 80
Espoirs46


Plafond salarial Non Activé

Cap Salarial de la Saison estimé68,991,875$
Plafond salarial disponible5,008,125$
Valeur du plafond salarial spécial406,250$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour54,991,139$
Dépenses annuelles à ce jour62,675,625$
Revenus de la saison estimés7,637,658$
Dépenses de la saison estimées8,635,000$
Compte bancaire actuel16,831,143$
Compte bancaire projeté15,646,801$


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
1Elias LindholmX100.007337788676859386908373778670650507302856,200,000$
2Mikael BacklundX98.0073377482758494798379697580807605071N03417,500,000$
3Troy TerryXX99.006137788271868882528577659364570507002614,100,000$
4Andrew MangiapaneXXX99.0072387480688294805477767179665905069N02714,000,000$
5Michael BuntingXX99.007142577872809476517073649368610506702833,200,000$
6Matias Maccelli (R)X100.00643679836880857850876466685850050670222800,000$
7Sonny MilanoXX100.006636797673758571507264636266580506502711,200,000$
8Peyton KrebsXX100.007450697671769068706560676256480506402221,000,000$
9Michael AmadioXXX100.006939797376738769696170666166580506402711,200,000$
10Wade Allison (R)X100.008951737078758363515762726064560506302511,200,000$
11Brandon Gignac (R)XX100.00614080637062646040626360536454050590251400,000$
12Mackie Samoskevich (R)XX100.00604170636962606150626260505050050580201400,000$
13Jeff Petry (A)X100.008941777480898466307762815984780507203534,900,000$
14Ryan McDonaghX99.007036756779888957306757865180740506903424,200,000$
15Derek ForbortX100.008045656682818057305963825474670506803134,000,000$
16John MarinoX98.006738777272878559306460815664560506702623,000,000$
17Ethan BearX100.006739757072828457306459775464550506502611,600,000$
18Nick Blankenburg (R)X100.007742757565837163306864745962540506502511,500,000$
Rayé
1Tage ThompsonX66.4167427185878592907187956895645805075N02514,900,000$
2Radek FaksaXX90.007246677384769464805861796070640506502921,800,000$
Équipe Mineure
1Colin WhiteXX100.007049727274698765645760666664560506202611,100,000$
2Brad MaloneXX100.007642696980656259755150655780720506003421,200,000$
3Jansen HarkinsXX100.00663778727671656452555866606455050600261800,000$
4Josh Dunne (R)X100.00734871698269616172515064586253050590242900,000$
5Hugh McGing (R)XX100.00644175686369676360616062596253050590251400,000$
6Hunter McKown (R)X100.00663972657773625577555062515446050570213800,000$
7Connor McMichaelXX100.006235806970676164525150636456460505702221,000,000$
8Mavrik BourqueX100.005435846468435955445455556154460505402110100,000$
9Tim GettingerXX100.00553977558745575238515259566252050540251500,000$
10Tyler TullioXX100.005435846269405649354752555954450505202110100,000$
11Justin SourdifXX100.00573579626740554839494755575445050510219100,000$
12Ryan TverbergXX100.005335865772404540304040555054440504802110100,000$
13Marcus Bjork (R)X100.007538717082827060306662725764580506502511,200,000$
14Josh MahuraX100.007441697271749457306059695662530506402511,200,000$
15Billy SweezeyX100.00805072647780614930545569506657050620271900,000$
16Dysin MayoX100.00763975677470635030515572506657050610271900,000$
17Jake Christiansen (R)X100.00673876707376655830595566556051050610241700,000$
18Eddie WittchowX100.00614567538753554330434461507263050550307100,000$
19Kaedan Korczak (R)X66.38764174657981625230555564525646050600222700,000$
20Hunter SkinnerX100.00583876557450544430454160495645050530228100,000$
MOYENNE D’ÉQUIPE97.4071417475748085695270677267676005067
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
1Sergei Bobrovsky97.50798582737882767979797282790506803513,300,000$
2Mackenzie Blackwood98.4472615884747471737269696659050630261900,000$
Rayé
Équipe Mineure
1Remi Poirier100.00595653746058606364595856480505602110100,000$
2Jet Greaves (R)100.0058696665616156576060575647050550222700,000$
3Michael Hutchinson100.00636158786665616264635978710506003311,200,000$
4Garrett Metcalf100.0047464373474545474650556659050500273100,000$
MOYENNE D’ÉQUIPE97.507673707976787476767471746905066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent30959590555570CAN531100,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur 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
1Tage ThompsonBlue JacketsC674037771229592932907519413.79%8123818.4814923632050001106046.66%62854011.2424010674
2Elias LindholmBlue JacketsC66303262-1220731522106113714.29%18126619.1910919501900002832055.92%133423010.9812000551
3Troy TerryBlue JacketsC/RW70203757320055781825311810.99%10127418.214131729206000002138.94%11310010.8904000141
4Andrew MangiapaneBlue JacketsC/LW/RW63212142-123001021041614512313.04%12119719.004610301800000744032.05%7821020.7000000332
5Nick BlankenburgBlue JacketsD66428322360115405718297.02%48123718.752462518400008000%007000.5200000003
6Mikael BacklundBlue JacketsC70112132-3022087162155411307.10%16130718.68178118500061602054.09%149235000.4900000220
7Michael BuntingBlue JacketsLW/RW70121527-29440917312239919.84%14107515.3735817133000001249.33%7552000.5001000121
8Matias MaccelliBlue JacketsLW5761925-180298110924715.50%688715.57044878000001035.38%6533000.5600000002
9Jeff PetryBlue JacketsD5112324-1359587484919352.04%55107421.08191028149000071100%013000.4500001001
10Ryan McDonaghBlue JacketsD7012324-2820058717920381.27%99162223.18044372120110185000%003000.3000000011
11John MarinoBlue JacketsD63415191014049414115459.76%75122419.44101211270000143000%006000.3100000100
12Derek ForbortBlue JacketsD6641317-188525138524217159.52%74121718.45000010111169000%026000.2800004020
13Sonny MilanoBlue JacketsLW/RW654711-1512026397218525.56%56479.97000080001130146.34%4173000.3400000000
14Ethan BearBlue JacketsD62099-4120402227580%4067510.90022338000063000%004000.2700000000
15Radek FaksaBlue JacketsC/LW70538-21341041805518299.09%1083811.980000510152001053.66%79201000.1900101002
16Michael AmadioBlue JacketsC/LW/RW48415-90022322682715.38%54028.38000000000301047.40%15401000.2500000100
17Marcus BjorkCleveland Monsters (CBJ)D8112-212018251020.00%312715.9810121000007000%000000.3100000000
18Brandon GignacBlue JacketsC/LW10000-100021000%0222.29000030000300100.00%20000000000000
19Tim GettingerCleveland Monsters (CBJ)LW/RW5000000000000%000.050000000000000%00000000000000
20Wade AllisonBlue JacketsRW3000-200210000%1268.8900000000070050.00%20000000000000
21Mackie SamoskevichBlue JacketsC/RW15000000000000%0100.68000000000600100.00%10000000000000
Statistiques d’équipe totales ou en moyenne1065168305473-1594594511251173168347711429.98%4991737616.324172113324182312316124021452.25%47773152050.54311116202618
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
1Sergei BobrovskyBlue Jackets54222630.8863.06300102153134278000.87585019324
2Mackenzie BlackwoodBlue Jackets215730.8763.71971006048314210.57171549000
3Michael HutchinsonCleveland Monsters (CBJ)41300.8475.18220201912439000042000
Statistiques d’équipe totales ou en moyenne79283660.8813.32419222232194913121156970324


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Andrew MangiapaneBlue JacketsC/LW/RW2707.07.1996No184 Lbs5 ft10YesNoN/ANoNo1Pro Only4,000,000$550,000$4,000,000$550,000$No------------------Lien / Lien NHL
Brandon GignacBlue JacketsC/LW2507.07.1998Yes185 Lbs5 ft11NoNoN/ANoNo114.02.2024Pro & Farm400,000$55,000$400,000$55,000$No------------------Lien NHL
Derek ForbortBlue JacketsD3107.07.1992No208 Lbs6 ft4NoNoN/ANoNo3Pro Only4,000,000$550,000$4,000,000$550,000$No4,000,000$4,000,000$-------NoNo-------Lien NHL
Elias LindholmBlue JacketsC2807.07.1995No202 Lbs6 ft1NoNoN/ANoNo5Pro Only6,200,000$852,500$6,200,000$852,500$No6,200,000$6,200,000$6,200,000$6,200,000$-----NoNoNoNo-----Lien NHL
Ethan BearBlue JacketsD2607.07.1997No197 Lbs5 ft11NoNoN/ANoNo1Pro Only1,600,000$220,000$1,600,000$220,000$No------------------Lien NHL
Jeff PetryBlue JacketsD3507.07.1988No209 Lbs6 ft3NoNoN/ANoNo3Pro Only4,900,000$673,750$4,900,000$673,750$No4,900,000$4,900,000$-------NoNo-------Lien NHL
John MarinoBlue JacketsD2607.07.1997No181 Lbs6 ft1NoNoN/ANoNo2Pro Only3,000,000$412,500$3,000,000$412,500$No3,000,000$--------No--------Lien NHL
Mackenzie BlackwoodBlue JacketsG2607.07.1997No225 Lbs6 ft4NoNoN/ANoNo1Pro Only900,000$123,750$900,000$123,750$No------------------Lien NHL
Mackie SamoskevichBlue JacketsC/RW2007.07.2003 13:19:19Yes192 Lbs5 ft11NoNoTrade (Prospect)NoNo114.02.2024Pro & Farm400,000$55,000$400,000$55,000$No------------------
Matias MaccelliBlue JacketsLW2207.07.2001Yes176 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$110,000$800,000$110,000$No800,000$--------No--------Lien NHL
Michael Amadio (contrat à 1 volet)Blue JacketsC/LW/RW2707.07.1996No204 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,200,000$165,000$1,200,000$165,000$No------------------Lien NHL
Michael BuntingBlue JacketsLW/RW2807.07.1995No192 Lbs6 ft0NoNoN/ANoNo3Pro Only3,200,000$440,000$3,200,000$440,000$No3,200,000$3,200,000$-------NoNo-------Lien NHL
Mikael BacklundBlue JacketsC3407.07.1989No206 Lbs6 ft0YesNoN/ANoNo1Pro Only7,500,000$1,031,250$7,500,000$1,031,250$No------------------Lien NHL
Nick BlankenburgBlue JacketsD2507.07.1998Yes177 Lbs5 ft9NoNoN/ANoNo1Pro Only1,500,000$206,250$1,500,000$206,250$No------------------
Peyton KrebsCleveland Monsters (CBJ)C/LW2207.07.2001No187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$137,500$0$0$No1,000,000$--------No--------Lien NHL
Radek FaksaBlue JacketsC/LW2907.07.1994No225 Lbs6 ft3NoNoN/ANoNo2Pro Only1,800,000$247,500$1,800,000$247,500$No1,800,000$--------No--------Lien NHL
Ryan McDonaghBlue JacketsD3407.07.1989No215 Lbs6 ft1NoNoN/ANoNo2Pro Only4,200,000$577,500$4,200,000$577,500$No4,200,000$--------No--------Lien NHL
Sergei BobrovskyBlue JacketsG3507.07.1988No182 Lbs6 ft2NoNoN/ANoNo1Pro Only3,300,000$453,750$3,300,000$453,750$No------------------Lien NHL
Sonny MilanoBlue JacketsLW/RW2707.07.1996No194 Lbs6 ft0NoNoN/ANoNo1Pro Only1,200,000$165,000$1,200,000$165,000$No------------------Lien NHL
Tage ThompsonBlue JacketsC2507.07.1998No220 Lbs6 ft6YesNoN/ANoNo1Pro Only4,900,000$673,750$4,900,000$673,750$No------------------Lien / Lien NHL
Troy TerryBlue JacketsC/RW2607.07.1997No185 Lbs6 ft0NoNoN/ANoNo1Pro Only4,100,000$563,750$4,100,000$563,750$No------------------Lien / Lien NHL
Wade AllisonBlue JacketsRW2507.07.1998Yes205 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,200,000$165,000$1,200,000$165,000$No------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.41198 Lbs6 ft11.682,786,364$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
61,300,000$29,100,000$18,300,000$6,200,000$6,200,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andrew MangiapaneElias LindholmTroy Terry32122
2Matias MaccelliMikael BacklundMichael Bunting32122
3Peyton KrebsMichael AmadioSonny Milano24122
4Sonny MilanoPeyton KrebsWade Allison12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derek ForbortRyan McDonagh35122
2John MarinoJeff Petry35122
3Nick BlankenburgJohn Marino26131
4Ryan McDonaghNick Blankenburg4122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael BuntingElias LindholmTroy Terry55104
2Andrew MangiapaneMikael BacklundMatias Maccelli45104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryNick Blankenburg50113
2Ethan BearRyan McDonagh50113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Peyton KrebsAndrew Mangiapane55140
2Mikael BacklundWade Allison45140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derek ForbortRyan McDonagh55140
2John MarinoJeff Petry45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Peyton Krebs55131Ryan McDonaghEthan Bear50140
2Mikael Backlund45140John MarinoDerek Forbort50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Elias LindholmMatias Maccelli50122
2Mikael BacklundTroy Terry50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BearJeff Petry55122
2Ryan McDonaghJohn Marino45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andrew MangiapaneElias LindholmTroy TerryRyan McDonaghJeff Petry
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andrew MangiapaneElias LindholmMikael BacklundRyan McDonaghJeff Petry
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikael Backlund, Troy Terry, Michael BuntingMikael Backlund, Matias MaccelliElias Lindholm
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeff Petry, Derek Forbort, John MarinoJeff PetryJohn Marino, Derek Forbort
Tirs de pénalité
Andrew Mangiapane, Troy Terry, Mikael Backlund, Elias Lindholm, Michael Bunting
Gardien
#1 : Mackenzie Blackwood, #2 : Sergei Bobrovsky, #3 : 0


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
1Avalanche1010000026-4000000000001010000026-400.000246000110166550224676116.67%3166.67%01182224252.72%1155217753.05%580112251.69%2214237136
2Blackhawks21000001541110000003121000000123-130.750581300410047141220355112041400.00%50100.00%01182224252.72%1155217753.05%580112251.69%463252142512
3Blues2110000035-2110000002021010000015-420.500369012100641720270541620357114.29%10190.00%01182224252.72%1155217753.05%580112251.69%453150142411
4Bruins3030000036-32020000035-21010000001-100.000358000120793025240721920528112.50%10280.00%01182224252.72%1155217753.05%580112251.69%735372203417
5Canadiens3110010010100110000005232010010058-330.500101929006220973532300933520721119.09%90100.00%01182224252.72%1155217753.05%580112251.69%724768214222
6Canucks201010006601010000034-11000100032120.5006915003201581818193642312395120.00%5180.00%01182224252.72%1155217753.05%580112251.69%443052152612
7Capitals31200000131301100000050520200000813-520.3331322350152609238233109721325916531.25%15566.67%01182224252.72%1155217753.05%580112251.69%725069213717
8Coyotes11000000431110000004310000000000021.0004610000220351017803564134125.00%2150.00%01182224252.72%1155217753.05%580112251.69%2316237136
9Devils41300000813-52020000027-52110000066020.250815230040409124333409925287211218.18%13284.62%11182224252.72%1155217753.05%580112251.69%926498274923
10Ducks220000001257110000006331100000062441.000122133005610511719150592515438225.00%5180.00%01182224252.72%1155217753.05%580112251.69%473346132513
11Flames210000101046100000104311100000061541.000101626004321652322184381184311218.18%40100.00%01182224252.72%1155217753.05%580112251.69%584339142613
12Flyers30300000414-101010000014-320200000310-700.0004812002110853629200792233521218.33%7271.43%01182224252.72%1155217753.05%580112251.69%715070213718
13Golden Knights21001000523100010002111100000031241.0005813003011471710182421910331100.00%50100.00%01182224252.72%1155217753.05%580112251.69%533743142412
14Hurricanes21100000880110000005231010000036-320.50081523004310482112150571215395360.00%50100.00%01182224252.72%1155217753.05%580112251.69%473346142612
15Islanders2010010069-31000010034-11010000035-210.25061218003120622317220551114396233.33%7271.43%01182224252.72%1155217753.05%580112251.69%503644132412
16Jets2110000056-1110000004311010000013-220.5005813001130551519210681820296233.33%10190.00%01182224252.72%1155217753.05%580112251.69%392450172914
17Kings21000001945110000007161000000123-130.7509172600324067222120952152744900.00%8187.50%01182224252.72%1155217753.05%580112251.69%483450152512
18Kraken22000000532110000003211100000021141.0005914001310561515260391325401218.33%8275.00%01182224252.72%1155217753.05%580112251.69%533741132412
19Lightning20101000880201010008800000000000020.500816240011515019131625291735800.00%6183.33%11182224252.72%1155217753.05%580112251.69%483447152513
20Maple Leafs30300000411-72020000046-21010000005-500.000471100220087372129088393256900.00%13284.62%01182224252.72%1155217753.05%580112251.69%694873203618
21Oilers21000100770110000003211000010045-130.75071219004030712128211632114396233.33%7185.71%01182224252.72%1155217753.05%580112251.69%422648162914
22Panthers2020000038-51010000024-21010000014-300.00035810111060152421073152431800.00%7185.71%01182224252.72%1155217753.05%580112251.69%493446142412
23Penguins20200000410-61010000037-41010000013-200.000481200112067271327075136366116.67%3166.67%01182224252.72%1155217753.05%580112251.69%442945163014
24Predators1010000024-21010000024-20000000000000.000246000110321471105117821400.00%40100.00%01182224252.72%1155217753.05%580112251.69%2112219168
25Rangers3210000012111220000008621010000045-140.6671219310043508434252508621345812216.67%12375.00%01182224252.72%1155217753.05%580112251.69%714971203718
26Red Wings30200100511-61010000024-22010010037-410.16759140021207529182808730265710110.00%13284.62%01182224252.72%1155217753.05%580112251.69%725070203718
27Sabres330000001064110000004222200000064261.0001019290053208128322106214205716425.00%10190.00%01182224252.72%1155217753.05%580112251.69%745268213718
28Senators30300000717-1020200000610-41010000017-600.000713200003408021332608833306610220.00%14285.71%01182224252.72%1155217753.05%580112251.69%694567224220
29Sharks211000001091110000007521010000034-120.5001015250025306318192606125103711327.27%5340.00%01182224252.72%1155217753.05%580112251.69%462943153015
30Stars2020000039-61010000014-31010000025-300.0003690001205014112505610438200.00%220.00%01182224252.72%1155217753.05%580112251.69%473548132411
31Wild210000101266110000007251000001054141.000122133004432632425127392720307228.57%10190.00%01182224252.72%1155217753.05%580112251.69%543744142614
Total70233603422205238-333616160211011910910347200131286129-43620.443205362567127658666197868261866131196158057413132614316.48%2374282.28%21182224252.72%1155217753.05%580112251.69%167811611642511911454
_Since Last GM Reset70233603422205238-333616160211011910910347200131286129-43620.443205362567127658666197868261866131196158057413132614316.48%2374282.28%21182224252.72%1155217753.05%580112251.69%167811611642511911454
_Vs Conference4192801300105155-5021613011006171-1020315002004484-40230.2801051922971140253911138417350369211633193517811482516.89%1442681.94%21182224252.72%1155217753.05%580112251.69%980682961293524260
_Vs Division19513001005578-23944001002730-31019000002848-20110.28955991540123112105292031521740548125162355681623.53%621575.81%11182224252.72%1155217753.05%580112251.69%449314446135243118

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7062W120536256719781961580574131312
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7023363422205238
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3616162110119109
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
34720131286129
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2614316.48%2374282.28%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
682618661317658666
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
1182224252.72%1155217753.05%580112251.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
167811611642511911454


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
212Flyers4Blue Jackets1BLSommaire du match
320Rangers3Blue Jackets4BWSommaire du match
539Red Wings4Blue Jackets2BLSommaire du match
967Flames3Blue Jackets4BWXXSommaire du match
1076Blue Jackets5Wild4AWXXSommaire du match
1292Ducks3Blue Jackets6BWSommaire du match
14108Blue Jackets4Canadiens5ALXSommaire du match
15119Islanders4Blue Jackets3BLXSommaire du match
17137Blue Jackets2Stars5ALSommaire du match
19148Lightning3Blue Jackets4BWXSommaire du match
21162Blue Jackets3Capitals6ALSommaire du match
22173Blue Jackets1Panthers4ALSommaire du match
24190Stars4Blue Jackets1BLSommaire du match
26207Blue Jackets1Red Wings2ALXSommaire du match
28221Blue Jackets4Rangers5ALSommaire du match
29228Coyotes3Blue Jackets4BWSommaire du match
31243Penguins7Blue Jackets3BLSommaire du match
33257Blue Jackets5Capitals7ALSommaire du match
34265Blue Jackets2Flyers4ALSommaire du match
36286Blackhawks1Blue Jackets3BWSommaire du match
38300Blue Jackets4Devils2AWSommaire du match
39307Blue Jackets3Hurricanes6ALSommaire du match
41326Bruins3Blue Jackets2BLSommaire du match
43342Canadiens2Blue Jackets5BWSommaire du match
45357Senators6Blue Jackets3BLSommaire du match
47376Kings1Blue Jackets7BWSommaire du match
48381Blue Jackets0Bruins1ALSommaire du match
50399Blue Jackets3Islanders5ALSommaire du match
52417Blues0Blue Jackets2BWSommaire du match
53425Panthers4Blue Jackets2BLSommaire du match
56448Blue Jackets0Maple Leafs5ALSommaire du match
58467Devils3Blue Jackets2BLSommaire du match
61491Blue Jackets4Sabres3AWSommaire du match
62498Capitals0Blue Jackets5BWSommaire du match
64516Maple Leafs3Blue Jackets2BLSommaire du match
66528Blue Jackets2Devils4ALSommaire du match
68549Maple Leafs3Blue Jackets2BLSommaire du match
70565Blue Jackets2Sabres1AWSommaire du match
72581Bruins2Blue Jackets1BLSommaire du match
73588Blue Jackets1Flyers6ALSommaire du match
75607Wild2Blue Jackets7BWSommaire du match
79641Blue Jackets1Jets3ALSommaire du match
81655Kraken2Blue Jackets3BWSommaire du match
84678Canucks4Blue Jackets3BLSommaire du match
86696Devils4Blue Jackets0BLSommaire du match
90729Blue Jackets4Oilers5ALXSommaire du match
92745Blue Jackets6Flames1AWSommaire du match
93757Blue Jackets3Canucks2AWXSommaire du match
95776Blue Jackets2Kraken1AWSommaire du match
97790Blue Jackets1Blues5ALSommaire du match
100813Lightning5Blue Jackets4BLSommaire du match
102826Blue Jackets1Senators7ALSommaire du match
105861Blue Jackets3Sharks4ALSommaire du match
108882Blue Jackets2Kings3ALXXSommaire du match
109892Blue Jackets6Ducks2AWSommaire du match
111906Sabres2Blue Jackets4BWSommaire du match
113918Rangers3Blue Jackets4BWSommaire du match
116945Hurricanes2Blue Jackets5BWSommaire du match
118962Golden Knights1Blue Jackets2BWXSommaire du match
119973Blue Jackets2Blackhawks3ALXXSommaire du match
121988Blue Jackets1Penguins3ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1231005Oilers2Blue Jackets3BWSommaire du match
1241012Predators4Blue Jackets2BLSommaire du match
1261029Senators4Blue Jackets3BLSommaire du match
1281044Blue Jackets1Canadiens3ALSommaire du match
1291052Sharks5Blue Jackets7BWSommaire du match
1321077Jets3Blue Jackets4BWSommaire du match
1341092Blue Jackets2Red Wings5ALSommaire du match
1361109Blue Jackets2Avalanche6ALSommaire du match
1371118Blue Jackets3Golden Knights1AWSommaire du match
1391133Blue Jackets-Coyotes-
1411146Blue Jackets-Penguins-
1431164Penguins-Blue Jackets-
1451183Avalanche-Blue Jackets-
1481208Islanders-Blue Jackets-
1491214Flyers-Blue Jackets-
1511231Blue Jackets-Hurricanes-
1531247Blue Jackets-Lightning-
1541257Blue Jackets-Panthers-
1561274Blue Jackets-Predators-
1591295Hurricanes-Blue Jackets-
1601303Blue Jackets-Rangers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80004000500020001000
Prix des billets101604030203
Assistance282,728139,654177,82970,76435,533
Attendance PCT98.17%96.98%98.79%98.28%98.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 19625 - 98.13% 1,527,532$54,991,139$20000106

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
62,675,625$ 62,700,000$ 62,700,000$ 0$ 406,250$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
376,875$ 60,294,375$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,637,658$ 22 392,500$ 8,635,000$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
8,822,000$ 16,831,143$ 15,646,801$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
68,991,875$ 5,008,125$ 74,000,000$ 24,991,875$



Charte de profondeur

Ailier gaucheCentreAilier droit
Andrew MangiapaneAGE:27PO:0OV:69
Michael BuntingAGE:28PO:0OV:67
Matias Maccelli (R)AGE:22PO:0OV:67
Radek FaksaAGE:29PO:0OV:65
Sonny MilanoAGE:27PO:0OV:65
Peyton KrebsAGE:22PO:0OV:64
Michael AmadioAGE:27PO:0OV:64
Brad MaloneAGE:34PO:0OV:60
Jansen HarkinsAGE:26PO:0OV:60
Brandon Gignac (R)AGE:25PO:0OV:59
Hugh McGing (R)AGE:25PO:0OV:59
Connor McMichaelAGE:22PO:0OV:57
Tim GettingerAGE:25PO:0OV:54
Tage ThompsonAGE:25PO:0OV:75
Elias LindholmAGE:28PO:0OV:73
Mikael BacklundAGE:34PO:0OV:71
Troy TerryAGE:26PO:0OV:70
Andrew MangiapaneAGE:27PO:0OV:69
Radek FaksaAGE:29PO:0OV:65
Peyton KrebsAGE:22PO:0OV:64
Michael AmadioAGE:27PO:0OV:64
Colin WhiteAGE:26PO:0OV:62
Brad MaloneAGE:34PO:0OV:60
Jansen HarkinsAGE:26PO:0OV:60
Brandon Gignac (R)AGE:25PO:0OV:59
Josh Dunne (R)AGE:24PO:0OV:59
Hugh McGing (R)AGE:25PO:0OV:59
Mackie Samoskevich (R)AGE:20PO:0OV:58
Hunter McKown (R)AGE:21PO:0OV:57
Connor McMichaelAGE:22PO:0OV:57
Mavrik BourqueAGE:21PO:0OV:54
Tyler TullioAGE:21PO:0OV:52
Justin SourdifAGE:21PO:0OV:51
Ryan TverbergAGE:21PO:0OV:48
Troy TerryAGE:26PO:0OV:70
Andrew MangiapaneAGE:27PO:0OV:69
Michael BuntingAGE:28PO:0OV:67
Sonny MilanoAGE:27PO:0OV:65
Michael AmadioAGE:27PO:0OV:64
Wade Allison (R)AGE:25PO:0OV:63
Colin WhiteAGE:26PO:0OV:62
Mackie Samoskevich (R)AGE:20PO:0OV:58
Tim GettingerAGE:25PO:0OV:54
Tyler TullioAGE:21PO:0OV:52
Justin SourdifAGE:21PO:0OV:51
Ryan TverbergAGE:21PO:0OV:48

Défense #1Défense #2Gardien
Jeff PetryAGE:35PO:0OV:72
Ryan McDonaghAGE:34PO:0OV:69
Derek ForbortAGE:31PO:0OV:68
John MarinoAGE:26PO:0OV:67
Marcus Bjork (R)AGE:25PO:0OV:65
Ethan BearAGE:26PO:0OV:65
Nick Blankenburg (R)AGE:25PO:0OV:65
Josh MahuraAGE:25PO:0OV:64
Billy SweezeyAGE:27PO:0OV:62
Dysin MayoAGE:27PO:0OV:61
Jake Christiansen (R)AGE:24PO:0OV:61
Kaedan Korczak (R)AGE:22PO:0OV:60
Eddie WittchowAGE:30PO:0OV:55
Hunter SkinnerAGE:22PO:0OV:53
Sergei BobrovskyAGE:35PO:0OV:68
Mackenzie BlackwoodAGE:26PO:0OV:63
Michael HutchinsonAGE:33PO:0OV:60
Remi PoirierAGE:21PO:0OV:56
Jet Greaves (R)AGE:22PO:0OV:55
Garrett MetcalfAGE:27PO:0OV:50

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
Alexander VolkovBlue Jackets00
Anthony SalinitriBlue Jackets00
Brendan GuhleBlue Jackets00
Brett HarrisonBlue Jackets00
Calum RitchieBlue Jackets00
Carson RehkopfBlue Jackets00
Christian KyrouBlue Jackets00
Cole CandellaBlue Jackets00
Ethan Del MastroBlue Jackets00
Filip CederqvistBlue Jackets00
Filip MesarBlue Jackets00
Frederic BrunetBlue Jackets00
Hoyt StanleyBlue Jackets00
Ivan ChukarovBlue Jackets00
Jake KarabelaBlue Jackets00
Jens LookeBlue Jackets00
Jesse KiiskinenBlue Jackets00
John DahlstromBlue Jackets00
Josh FilmonBlue Jackets00
Julius NattinenBlue Jackets00
Juraj PekarcikBlue Jackets00
Kirill MaksimovBlue Jackets00
Kole SherwoodBlue Jackets00
Lukas JasekBlue Jackets00
Luke CoughlinBlue Jackets00
Luke MittelstadtBlue Jackets00
Mats LindgrenBlue Jackets00
Matteo CostantiniBlue Jackets00
Matthew RobertsonBlue Jackets00
Matvey PetrovBlue Jackets00
Mikhail AbramovBlue Jackets00
Nicolas MattinenBlue Jackets00
Otto SomppiBlue Jackets00
Owen LindmarkBlue Jackets00
Parker FooBlue Jackets00
Riley StottsBlue Jackets00
Ryan FrancisBlue Jackets00
Ryan McClearyBlue Jackets00
Sam ColangeloBlue Jackets00
Samu TuomaalaBlue Jackets00
Seth BartonBlue Jackets00
Stiven SardarianBlue Jackets00
Troy JosephsBlue Jackets00
Tyson HindsBlue Jackets00
Viktor PerssonBlue Jackets00
Vilmer AlrikssonBlue Jackets00

Choix au repêchage

Année R1R2R3R4R5R6R7
24
25
26
27
28
Choix au repêchage conditionnel



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Blue Jackets Historique de transactions

[11.04.2024 20:30:16] - TRADE : From Senators to Blue Jackets : Y:24-RND:4-OTT.
[11.04.2024 20:30:16] - TRADE : From Blue Jackets to Senators : Brian Dumoulin (69).
[11.04.2024 20:27:42] - TRADE : From Blue Jackets to Capitals : Max Pacioretty (69), $500,000 (Money), Y:24-RND:5-DAL.
[11.04.2024 20:27:42] - TRADE : From Capitals to Blue Jackets : Y:24-RND:2-EDM.
[10.04.2024 21:05:38] - TRADE : From Blue Jackets to Canadiens : Eric Robinson (66), $500,000 (Money).
[18.03.2024 1:17:33] - TRADE : From Stars to Blue Jackets : Y:24-RND:5-DAL.
[18.03.2024 1:17:33] - TRADE : From Blue Jackets to Stars : Jaroslav Halak (63).
[18.03.2024 1:17:10] - TRADE : From Oilers to Blue Jackets : Mavrik Bourque (54), Y:26-RND:1-EDM, Y:25-RND:3-EDM.
[18.03.2024 1:17:10] - TRADE : From Blue Jackets to Oilers : Ryan O'Reilly (71).
[13.03.2024 23:32:28] - TRADE : From Blue Jackets to Sharks : Antti Raanta (65).
[13.03.2024 23:32:28] - TRADE : From Sharks to Blue Jackets : Jaroslav Halak (63), Y:24-RND:3-NYI.
[23.02.2024 21:56:46] - TRADE : From Flames to Blue Jackets : Y:24-RND:5-MIN.
[23.02.2024 21:56:46] - TRADE : From Blue Jackets to Flames : Kevin Poulin (56).
[14.02.2024 19:20:52] - Mackie Samoskevich was added to Blue Jackets.
[20.01.2024 21:17:40] - TRADE : From Blue Jackets to Blues : Y:24-RND:5-CBJ, Y:25-RND:6-CBJ.
[20.01.2024 21:17:40] - TRADE : From Blues to Blue Jackets : Antti Raanta (65).
[18.12.2023 21:01:46] - Wade Allison has been selected as assistant for Cleveland Monsters.
[18.12.2023 21:01:46] - Colin White is no longer as assistant for Cleveland Monsters.
[18.12.2023 21:01:46] - Colin White has been selected as assistant for Cleveland Monsters.
[18.12.2023 21:01:46] - Unknown Player is no longer as assistant for Cleveland Monsters.
[18.12.2023 21:01:46] - Michael Amadio has been selected as captain for Cleveland Monsters.
[18.12.2023 21:01:46] - Unknown Player is no longer captain for Cleveland Monsters.
[08.12.2023 21:23:55] - Ryan O'Reilly has been selected as assistant for Blue Jackets.
[08.12.2023 21:23:55] - Max Pacioretty is no longer as assistant for Blue Jackets.
[08.12.2023 21:23:55] - Max Pacioretty has been selected as captain for Blue Jackets.
[08.12.2023 21:23:55] - Unknown Player is no longer captain for Blue Jackets.
[05.12.2023 22:52:31] - TRADE : From Predators to Blue Jackets : $400,000 (Money).
[05.12.2023 22:52:31] - TRADE : From Blue Jackets to Predators : Patrick Harper (P), Judd Caulfield (P), Henrik Rybinski (P), Ethan Keppen (P).
[24.11.2023 22:02:39] - Tyler Tullio was added to Blue Jackets.
[24.11.2023 22:01:29] - Ryan Tverberg was added to Blue Jackets.
[21.11.2023 1:36:16] - Blue Jackets hired Pascal Vincent for $100,000 for 1 year(s).



[01.05.2024 21:49:24] Game 1118 - Radek Faksa from Blue Jackets is injured (Strained Right Knee) and is out for 1 week.
[01.05.2024 21:49:19] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:86.49.226.228 .
[01.05.2024 21:47:07] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:86.49.226.228 .
[30.04.2024 22:08:08] Game 1109 - Kaedan Korczak from Cleveland Monsters is injured (Broken Left Foot Toe) and is out for 2 months.
[30.04.2024 22:08:03] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:86.49.226.228 .
[30.04.2024 22:07:00] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:86.49.226.228 .
[30.04.2024 22:07:00] Michael Hutchinson of Blue Jackets was sent to farm.
[29.04.2024 23:54:24] Mackenzie Blackwood from Blue Jackets is back from Strained Right Elbow Injury.
[29.04.2024 0:00:46] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:89.233.187.45 .
[29.04.2024 0:00:16] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:89.233.187.45 .
[28.04.2024 23:59:34] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:89.233.187.45 .
[28.04.2024 23:59:34] Wade Allison of Blue Jackets was sent to pro.
[27.04.2024 21:27:49] Last 7 Days Pro Star : 1 - Tage Thompson of Blue Jackets (6-3-9) / 2 - Ryan Johansen of Senators (4-4-8) / 3 - Brock McGinn of Hurricanes (5-1-6)
[22.04.2024 22:00:01] Game 1077 - Tage Thompson from Blue Jackets is injured (Right Foot) and is out for 2 months.
[22.04.2024 2:02:16] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:46.183.64.22 .
[20.04.2024 22:32:02] Derek Forbort from Blue Jackets is back from Sprained Left Finger Injury.
[19.04.2024 21:24:58] Pro Game #1052 - Tage Thompson from Blue Jackets has scored a Hat Trick!
[19.04.2024 21:24:58] Game 1052 - Derek Forbort from Blue Jackets is injured (Sprained Left Finger) and is out for 1 week.
[19.04.2024 21:24:13] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:104.28.62.10 .
[18.04.2024 21:44:16] Michael Amadio from Blue Jackets is back from Strained Left Knee Injury.
[18.04.2024 21:44:15] Game 1044 - Michael Amadio from Blue Jackets is injured (Strained Left Knee) and is out for 3 days.
[18.04.2024 21:44:11] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:109.81.89.51 .
[18.04.2024 21:43:00] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database from IP:109.81.89.51 .



Radek Faksa est dehors pour 5 jours à cause de Strained Right Knee Injury.
Tage Thompson est dehors pour 1 mois à cause de Right Foot Injury.
Kaedan Korczak est dehors pour 1 mois à cause de Broken Left Foot Toe Injury.



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

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

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

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

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