Connexion

Blue Jackets
GP: 10 | W: 7 | L: 3 | OTL: 0 | P: 14
GF: 38 | GA: 32 | PP%: 19.05% | PK%: 80.65%
DG: Eric Henault | Morale : 50 | Moyenne d’équipe : 77
Prochain matchs #171 vs Islanders
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Centre de jeu
Blue Jackets
7-3-0, 14pts
5
FINAL
3 Capitals
4-5-1, 9pts
Team Stats
W3StreakOTL1
3-2-0Home Record1-4-0
4-1-0Away Record3-1-1
7-3-0Last 10 Games4-5-1
3.80Goals Per Game3.00
3.20Goals Against Per Game3.40
19.05%Power Play Percentage22.22%
80.65%Penalty Kill Percentage85.00%
Capitals
4-5-1, 9pts
3
FINAL
4 Blue Jackets
7-3-0, 14pts
Team Stats
OTL1StreakW3
1-4-0Home Record3-2-0
3-1-1Away Record4-1-0
4-5-1Last 10 Games7-3-0
3.00Goals Per Game3.80
3.40Goals Against Per Game3.20
22.22%Power Play Percentage19.05%
85.00%Penalty Kill Percentage80.65%
Islanders
5-4-0, 10pts
2022-08-03
Blue Jackets
7-3-0, 14pts
Statistiques d’équipe
W1SéquenceW3
3-2-0Fiche domicile3-2-0
2-2-0Fiche visiteur4-1-0
5-4-010 derniers matchs7-3-0
3.11Buts par match 3.80
3.33Buts contre par match 3.20
17.14%Pourcentage en avantage numérique19.05%
73.53%Pourcentage en désavantage numérique80.65%
Blue Jackets
7-3-0, 14pts
2022-08-04
Rangers
4-5-2, 10pts
Statistiques d’équipe
W3SéquenceW1
3-2-0Fiche domicile4-1-0
4-1-0Fiche visiteur0-4-2
7-3-010 derniers matchs4-5-1
3.80Buts par match 2.55
3.20Buts contre par match 3.36
19.05%Pourcentage en avantage numérique17.50%
80.65%Pourcentage en désavantage numérique80.85%
Blue Jackets
7-3-0, 14pts
2022-08-05
Flyers
6-4-0, 12pts
Statistiques d’équipe
W3SéquenceW4
3-2-0Fiche domicile2-3-0
4-1-0Fiche visiteur4-1-0
7-3-010 derniers matchs6-4-0
3.80Buts par match 3.60
3.20Buts contre par match 2.30
19.05%Pourcentage en avantage numérique20.59%
80.65%Pourcentage en désavantage numérique88.37%
Meneurs d'équipe
Buts
Ryan O'Reilly
9
Passes
Ryan McDonagh
12
Points
Ryan O'Reilly
16
Plus/Moins
Artturi Lehkonen
5
Victoires
Jeremy Swayman
6
Pourcentage d’arrêts
Jeremy Swayman
0.914

Statistiques d’équipe
Buts pour
38
3.80 GFG
Tirs pour
359
35.90 Avg
Pourcentage en avantage numérique
19.0%
8 GF
Début de zone offensive
42.4%
Buts contre
32
3.20 GAA
Tirs contre
314
31.40 Avg
Pourcentage en désavantage numérique
80.6%
6 GA
Début de la zone défensive
40.1%
Information d’équipe

Directeur généralEric Henault
EntraîneurEmily Castonguay
DivisionMETROPOLITAINE
ConférenceEST
CapitaineSteven Stamkos
Assistant #1Ryan McDonagh
Assistant #2Anthony Cirelli


Informations de l’aréna

NomNationwide Arena
Capacité17,000
Assistance0
Billets de saison6,800


Information formation

Équipe Pro22
Équipe Mineure30
Limite contact 52 / 55
Espoirs31


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible82,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel59,419,425$
Compte bancaire projeté59,419,425$


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
1Chris Kreider0XX100.007834868288898678637189748378790508203137,838,000$
2Steven Stamkos (C)0XXX100.0067358783768991858784866384869305082032210,740,000$
3Ryan O'Reilly0X100.005836947579919378948078857383900508103146,875,000$
4Jonathan Marchessault0XX100.006236827966889076697880638175760507703125,729,000$
5Anthony Cirelli (A)0XX100.006738807674899071837270876866700507702535,830,000$
6Anthony Mantha0XX100.006762867296878274617276657770680507602836,120,000$
7Brian Boyle0X100.008273876199777862796366846186790507503712,162,000$
8Artturi Lehkonen0XX100.00733492736984876863677182687069050750272930,000$
9Mathieu Joseph0XX100.00743890767381877363687176696668050750252945,000$
10Corey Perry0X100.006572746685839069586770667291790507403721,481,000$
11Ryan Carpenter0X100.008137846274818763816162795873720507203124,050,000$
12Laurent Dauphin0X100.00633981687287796681676573646869050720275850,000$
13Alec Martinez0X100.006336947179928071307872895481760507903542,335,000$
14Ryan McDonagh (A)0X100.007136957181938967307561925382730507803345,035,000$
15Matt Dumba0X100.007637737771938773307669785772690507702842,699,000$
16Erik Cernak0X100.00886074678990866330756087526665050770251861,000$
17David Savard0X100.008637786184918962307156835179730507503144,404,000$
18Kevan Miller0X100.008774776382887162306758794984740507303411,200,000$
Rayé
1Nicolas Deslauriers0XX100.00908967628178906259616466587573050710312920,000$
2Marco Scandella0X100.007137896486899162307059855279730507503231,992,000$
Équipe Mineure
1Noah Cates0X100.00723483657182756656676963686264050700232925,000$
2Cedric Paquette0X100.008345736075797761746263716472730507002914,332,000$
3Alex Limoges0X100.006638936578808661646266616566670506902531,500,000$
4Marian Studenic0XX100.006339866374807965616465686465670506902311,156,250$
5Steven Lorentz0XXX100.006538956488778665806261566266670506902641,199,000$
6Rafael Harvey-Pinard0XX100.00763583646682866457626661656469050690235825,000$
7Garrett Pilon0X100.00633793657386796175626761656466050680242989,000$
8Otto Somppi0X100.006839876379758063706258616364660506802411,049,000$
9Bokondji Imama0X100.007785645982698060566162585766680506702631,211,000$
10Mark Kastelic0X100.00813665588579865375605961566364050670232821,667$
11Raphael Lavoie0XX100.00773487568692835761585960566264050670215925,000$
12Nathan Legare (R)0X100.00663983557583855358555657556163050640213905,000$
13Pierre-Olivier Joseph0X100.006938847177868770307160625163650507202351,075,883$
14Greg Pateryn0X100.00754579598580736130675874507377050710321750,000$
15Joel Hanley0X100.006936846871807566307055645371720507003121,150,000$
16Nick Seeler0X100.007645786081827453306154684769710506802931,278,000$
17Isaak Phillips0X100.00673876578277855930575660486163050660202925,000$
18Brady Keeper0X100.00583595588077736030595662506965050650262954,000$
19Adam Mascherin0X100.00634681647277826568616362646567050680241750,000$
20Jack Dugan0X100.006835786177767360666358576264660506602451,562,500$
21Dominic Turgeon0X100.00613988598076855862565761596669050660261999,000$
22Tyler Angle0X100.00583689646788896259635857646265050660212925,000$
23Ivan Chekhovich0XX100.00503595636780746456625960646362050650231903,333$
24Brian Lashoff0X100.00774283578665885630555458467277050660321977,000$
25Ole Bjorgvik-Holm0X100.00693483577872775930585356465961050640202917,500$
MOYENNE D’ÉQUIPE100.0071438365798383655566646961707005071
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
1John Gibson100.00899286828887898887898877830508802935,138,000$
2Jeremy Swayman100.00899087838887898887898864710508702321,050,000$
Rayé
Équipe Mineure
1Sam Montembeault100.00779086837675777675777666750507902533,000,000$
2Erik Kallgren100.0074858382737274737274736675050760253750,000$
3Vasily Demchenko100.0072787679717072717072717377050750282750,000$
4Jacob Ingham100.0068656684676668676668676367050700222850,000$
5Lukas Parik100.0065666889646365646365646165050680211750,000$
MOYENNE D’ÉQUIPE100.007681798375747675747675677305078
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Emily Castonguay75757575757575Can3950$


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
1Ryan O'ReillyBlue JacketsC10971630053140162022.50%121021.032241040000002057.77%29600001.5201000310
2Steven StamkosBlue JacketsC/LW/RW108715420102043133518.60%023823.821455400000253054.10%6100001.2611000221
3Ryan McDonaghBlue JacketsD10112133201015245164.17%2025525.591231834000130010.00%000001.0200000012
4Chris KreiderBlue JacketsLW/RW10461038025143382712.12%120720.792131240000001147.06%1700000.9600000011
5Alec MartinezBlue JacketsD10268300011104520.00%1517917.950000000004000.00%000000.8900000100
6Matt DumbaBlue JacketsD1017821602921197145.26%1023823.86033834000018000.00%000000.6700000000
7Jonathan MarchessaultBlue JacketsLW/RW10156-360813288253.57%119219.24022529000000031.25%1600000.6200000000
8Artturi LehkonenBlue JacketsLW/RW10235520711273187.41%012012.00000000002240060.00%1000000.8300000000
9Anthony ManthaBlue JacketsLW/RW10314-4801361941615.79%018318.31202929000000037.50%1600000.4400000100
10David SavardBlue JacketsD10033-3601568370.00%1618518.52011435000129000.00%000000.3200000000
11Marco ScandellaBlue JacketsD10033-320543050.00%711611.640000000002000.00%000000.5200000000
12Laurent DauphinBlue JacketsC10123500716143147.14%112212.22000000000260156.39%13300000.4900000001
13Erik CernakBlue JacketsD100333100261411670.00%1122922.94000635000016000.00%000000.2600000000
14Mathieu JosephBlue JacketsLW/RW1021352057286127.14%1979.7100000000000022.22%900000.6200000010
15Anthony CirelliBlue JacketsC/LW10202-4202228355185.71%421421.480005290001230053.68%28500000.1901000000
16Ryan CarpenterBlue JacketsC10022-200363160.00%1545.4100000000000046.15%6500000.7400000010
17Brian BoyleBlue JacketsC10101-2201482412.50%0565.6400000000020066.67%300000.3500000100
18Corey PerryBlue JacketsRW10000-220146240.00%1555.5100000000000066.67%300000.0000000000
Statistiques d’équipe totales ou en moyenne1803768105137001922313599625310.31%90295616.43815238234900052056353.94%91400000.7113000875
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
1Jeremy SwaymanBlue Jackets76100.9142.7142100192220000.000073000
2John GibsonBlue Jackets31200.8594.221850013920001.000337000
Statistiques d’équipe totales ou en moyenne107300.8983.1760600323140001.00031010000


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenPlafond salarial 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 10Link
Alec MartinezBlue JacketsD351987-07-26No209 Lbs6 ft1NoNoNo4Pro & Farm2,335,000$2,335,000$2,335,000$2,335,000$No4,176,000$4,176,000$4,176,000$Lien
Anthony CirelliBlue JacketsC/LW251997-07-15No191 Lbs6 ft0NoNoNo3Pro & Farm5,830,000$5,830,000$5,830,000$5,830,000$No5,830,000$5,830,000$Lien
Anthony ManthaBlue JacketsLW/RW281994-09-16No234 Lbs6 ft5NoNoNo3Pro & Farm6,120,000$6,120,000$5,074,750$6,120,000$6,120,000$No6,120,000$6,120,000$Lien
Artturi LehkonenBlue JacketsLW/RW271995-07-04No179 Lbs5 ft11NoNoNo2Pro & Farm930,000$930,000$1,500,000$930,000$930,000$No930,000$Lien
Brian BoyleBlue JacketsC371984-12-18No245 Lbs6 ft6NoNoNo1Pro & Farm2,162,000$2,162,000$2,162,000$2,162,000$2,162,000$NoLien
Chris KreiderBlue JacketsLW/RW311991-04-30No223 Lbs6 ft3NoNoNo3Pro & Farm7,838,000$7,838,000$7,838,000$7,838,000$No7,838,000$7,838,000$Lien
Corey PerryBlue JacketsRW371985-05-16No206 Lbs6 ft3NoNoNo2Pro & Farm1,481,000$1,481,000$1,481,000$1,481,000$No1,850,000$Lien
David SavardBlue JacketsD311990-10-22No234 Lbs6 ft1NoNoNo4Pro & Farm4,404,000$4,404,000$650,000$4,404,000$4,404,000$No4,404,000$4,404,000$4,404,000$Lien
Erik CernakBlue JacketsD251997-05-28No230 Lbs6 ft3NoNoNo1Pro & Farm861,000$861,000$650,000$861,000$861,000$NoLien
Jeremy SwaymanBlue JacketsG231998-11-24No197 Lbs6 ft3NoNoNo2Pro & Farm1,050,000$1,050,000$1,050,000$1,050,000$1,050,000$No1,050,000$Lien
John GibsonBlue JacketsG291993-07-14No210 Lbs6 ft2NoNoNo3Pro & Farm5,138,000$5,138,000$525,000$5,138,000$5,138,000$No3,737,000$3,269,000$Lien
Jonathan MarchessaultBlue JacketsLW/RW311990-12-27No184 Lbs5 ft9NoNoNo2Pro & Farm5,729,000$5,729,000$5,000,001$5,729,000$5,729,000$No5,729,000$Lien
Kevan MillerBlue JacketsD341987-11-15No210 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$1,200,000$NoLien
Laurent DauphinBlue JacketsC271995-03-27No186 Lbs6 ft0NoNoNo5Pro & Farm850,000$850,000$850,000$850,000$850,000$No937,500$937,500$937,500$937,500$Lien
Marco ScandellaBlue JacketsD321990-02-23No212 Lbs6 ft3NoNoNo3Pro & Farm1,992,000$1,992,000$1,992,000$1,992,000$No1,992,000$1,992,000$Lien
Mathieu JosephBlue JacketsLW/RW251997-02-09No190 Lbs6 ft1NoNoNo2Pro & Farm945,000$945,000$945,000$945,000$No945,000$Lien
Matt DumbaBlue JacketsD281994-07-25No181 Lbs6 ft0NoNoNo4Pro & Farm2,699,000$2,699,000$2,536,800$2,699,000$2,699,000$No2,699,000$2,699,000$2,699,000$Lien
Nicolas DeslauriersBlue JacketsLW/RW311991-02-22No220 Lbs6 ft1NoNoNo2Pro & Farm920,000$920,000$920,000$920,000$No920,000$Lien
Ryan CarpenterBlue JacketsC311991-01-18No200 Lbs6 ft0NoNoNo2Pro Only4,050,000$4,050,000$650,000$4,050,000$4,050,000$No3,600,000$Lien
Ryan McDonaghBlue JacketsD331989-06-13No215 Lbs6 ft1NoNoNo4Pro & Farm5,035,000$5,035,000$5,035,000$5,035,000$No5,035,000$5,035,000$5,035,000$Lien
Ryan O'ReillyBlue JacketsC311991-02-07No207 Lbs6 ft1NoNoNo4Pro & Farm6,875,000$6,875,000$6,603,600$6,875,000$6,875,000$No6,875,000$6,875,000$6,875,000$Lien
Steven StamkosBlue JacketsC/LW/RW321990-02-07No193 Lbs6 ft1NoNoNo2Pro & Farm10,740,000$10,740,000$10,740,000$10,740,000$No7,518,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2230.14207 Lbs6 ft22.683,599,273$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
79,184,000$72,185,500$49,175,500$24,126,500$937,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris KreiderRyan O'ReillySteven Stamkos38113
2Anthony ManthaAnthony CirelliJonathan Marchessault35113
3Artturi LehkonenLaurent DauphinMathieu Joseph20023
4Brian BoyleRyan CarpenterCorey Perry7131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McDonaghMatt Dumba40131
2Erik CernakAlec Martinez38131
3Kevan MillerDavid Savard22131
4Erik CernakAlec Martinez0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris KreiderRyan O'ReillySteven Stamkos60122
2Jonathan MarchessaultAnthony CirelliAnthony Mantha40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McDonaghMatt Dumba50122
2Erik CernakDavid Savard50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliArtturi Lehkonen50122
2Steven StamkosLaurent Dauphin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McDonaghMatt Dumba50122
2David SavardErik Cernak50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Steven Stamkos50122Ryan McDonaghDavid Savard50122
2Anthony Cirelli50122Matt DumbaErik Cernak50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan O'ReillySteven Stamkos50122
2Anthony CirelliJonathan Marchessault50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McDonaghDavid Savard50122
2Matt DumbaErik Cernak50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris KreiderRyan O'ReillySteven StamkosRyan McDonaghMatt Dumba
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Corey PerryAnthony CirelliArtturi LehkonenRyan McDonaghDavid Savard
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mathieu Joseph, Steven Stamkos, Jonathan MarchessaultMathieu Joseph, Steven StamkosSteven Stamkos
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Savard, Erik Cernak, Matt DumbaRyan McDonaghRyan McDonagh, Matt Dumba
Tirs de pénalité
Ryan O'Reilly, Anthony Cirelli, Steven Stamkos, Chris Kreider, Mathieu Joseph
Gardien
#1 : Jeremy Swayman, #2 : John Gibson
Lignes d’attaque personnalisées en prolongation
Steven Stamkos, Jonathan Marchessault, Anthony Cirelli, Chris Kreider, Ryan O'Reilly, Mathieu Joseph, Mathieu Joseph, Anthony Mantha, Artturi Lehkonen, Corey Perry, Brian Boyle
Lignes de défense personnalisées en prolongation
Ryan McDonagh, David Savard, Matt Dumba, Erik Cernak, Alec Martinez


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
1Capitals21001000963100010004311100000053241.00091726002331833126224621910419111.11%50100.00%020538253.66%19736154.57%9115857.59%483448142412
2Devils220000001055110000006241100000043141.000101828003610761929280731416318112.50%6183.33%020538253.66%19736154.57%9115857.59%463248142412
3Hurricanes2110000057-21010000005-51100000052320.5005914001130612018230591918467114.29%8450.00%020538253.66%19736154.57%9115857.59%513744132412
4Islanders1010000045-1000000000001010000045-100.0004812001210316141103162214250.00%10100.00%020538253.66%19736154.57%9115857.59%2315227136
5Penguins2010001068-21010000025-31000001043120.5006814000321751631265632114349111.11%6183.33%020538253.66%19736154.57%9115857.59%483449152613
6Rangers11000000413110000004130000000000021.000481200112033713130261110195240.00%50100.00%020538253.66%19736154.57%9115857.59%2315238125
Total1053010103832652201000161605310001022166140.700386810600816122359991311239314907019242819.05%31680.65%020538253.66%19736154.57%9115857.59%2411692377312662
_Since Last GM Reset1053010103832652201000161605310001022166140.700386810600816122359991311239314907019242819.05%31680.65%020538253.66%19736154.57%9115857.59%2411692377312662
_Vs Conference1053010103832652201000161605310001022166140.700386810600816122359991311239314907019242819.05%31680.65%020538253.66%19736154.57%9115857.59%2411692377312662
_Vs Division1053010103832652201000161605310001022166140.700386810600816122359991311239314907019242819.05%31680.65%020538253.66%19736154.57%9115857.59%2411692377312662

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1014W33868106359314907019200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
105310103832
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52210001616
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53100102216
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
42819.05%31680.65%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
991311239816122
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
20538253.66%19736154.57%9115857.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2411692377312662


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
1 - 2022-07-1712Devils2Blue Jackets6BWSommaire du match
2 - 2022-07-1818Blue Jackets4Devils3AWSommaire du match
4 - 2022-07-2041Blue Jackets4Penguins3AWXXSommaire du match
6 - 2022-07-2254Penguins5Blue Jackets2BLSommaire du match
7 - 2022-07-2371Hurricanes5Blue Jackets0BLSommaire du match
9 - 2022-07-2588Blue Jackets5Hurricanes2AWSommaire du match
10 - 2022-07-2698Blue Jackets4Islanders5ALSommaire du match
12 - 2022-07-28116Rangers1Blue Jackets4BWSommaire du match
14 - 2022-07-30134Blue Jackets5Capitals3AWSommaire du match
15 - 2022-07-31151Capitals3Blue Jackets4BWXSommaire du match
18 - 2022-08-03171Islanders-Blue Jackets-
19 - 2022-08-04190Blue Jackets-Rangers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05200Blue Jackets-Flyers-
21 - 2022-08-06211Flyers-Blue Jackets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité50004000300040001000
Prix des billets87553421163
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 0 - 0.00% 0$0$17000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 79,184,000$ 28,452,151$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 59,419,425$ 59,419,425$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 82,500,000$ 82,500,000$ -60,500,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Chris KreiderAGE:31PO:0OV:82
Steven StamkosAGE:32PO:0OV:82
Jonathan MarchessaultAGE:31PO:0OV:77
Anthony CirelliAGE:25PO:0OV:77
Anthony ManthaAGE:28PO:0OV:76
Artturi LehkonenAGE:27PO:0OV:75
Mathieu JosephAGE:25PO:0OV:75
Nicolas DeslauriersAGE:31PO:0OV:71
Noah CatesAGE:23PO:0OV:70
Alex LimogesAGE:25PO:0OV:69
Marian StudenicAGE:23PO:0OV:69
Steven LorentzAGE:26PO:0OV:69
Rafael Harvey-PinardAGE:23PO:0OV:69
Adam MascherinAGE:24PO:0OV:68
Bokondji ImamaAGE:26PO:0OV:67
Jack DuganAGE:24PO:0OV:66
Tyler AngleAGE:21PO:0OV:66
Ivan ChekhovichAGE:23PO:0OV:65
Steven StamkosAGE:32PO:0OV:82
Ryan O'ReillyAGE:31PO:0OV:81
Anthony CirelliAGE:25PO:0OV:77
Brian BoyleAGE:37PO:0OV:75
Ryan CarpenterAGE:31PO:0OV:72
Laurent DauphinAGE:27PO:0OV:72
Cedric PaquetteAGE:29PO:0OV:70
Steven LorentzAGE:26PO:0OV:69
Garrett PilonAGE:24PO:0OV:68
Otto SomppiAGE:24PO:0OV:68
Mark KastelicAGE:23PO:0OV:67
Raphael LavoieAGE:21PO:0OV:67
Dominic TurgeonAGE:26PO:0OV:66
Chris KreiderAGE:31PO:0OV:82
Steven StamkosAGE:32PO:0OV:82
Jonathan MarchessaultAGE:31PO:0OV:77
Anthony ManthaAGE:28PO:0OV:76
Artturi LehkonenAGE:27PO:0OV:75
Mathieu JosephAGE:25PO:0OV:75
Corey PerryAGE:37PO:0OV:74
Nicolas DeslauriersAGE:31PO:0OV:71
Marian StudenicAGE:23PO:0OV:69
Steven LorentzAGE:26PO:0OV:69
Rafael Harvey-PinardAGE:23PO:0OV:69
Raphael LavoieAGE:21PO:0OV:67
Ivan ChekhovichAGE:23PO:0OV:65
Nathan Legare (R)AGE:21PO:0OV:64

Défense #1Défense #2Gardien
Alec MartinezAGE:35PO:0OV:79
Ryan McDonaghAGE:33PO:0OV:78
Matt DumbaAGE:28PO:0OV:77
Erik CernakAGE:25PO:0OV:77
David SavardAGE:31PO:0OV:75
Marco ScandellaAGE:32PO:0OV:75
Kevan MillerAGE:34PO:0OV:73
Pierre-Olivier JosephAGE:23PO:0OV:72
Greg PaterynAGE:32PO:0OV:71
Joel HanleyAGE:31PO:0OV:70
Nick SeelerAGE:29PO:0OV:68
Brian LashoffAGE:32PO:0OV:66
Isaak PhillipsAGE:20PO:0OV:66
Brady KeeperAGE:26PO:0OV:65
Ole Bjorgvik-HolmAGE:20PO:0OV:64
John GibsonAGE:29PO:0OV:88
Jeremy SwaymanAGE:23PO:0OV:87
Sam MontembeaultAGE:25PO:0OV:79
Erik KallgrenAGE:25PO:0OV:76
Vasily DemchenkoAGE:28PO:0OV:75
Jacob InghamAGE:22PO:0OV:70
Lukas ParikAGE:21PO:0OV:68

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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Alex LaferriereBlue Jackets202146
Alexis GravelBlue Jackets2019100
Arseni SergeevBlue Jackets2022130
Brady GilmourBlue Jackets2018181
Brandon SaigeonBlue Jackets201989
Brendan De JongBlue Jackets2018160
Brett BerardBlue Jackets2021115
David NoelBlue Jackets2018118
Dmitry VoronkovBlue Jackets202086
Jacob PaquetteBlue Jackets2018197
Jocktan ChaineyBlue Jackets201887
Jordan HollettBlue Jackets2018190
Justin RobidasBlue Jackets202286
Logan CockerillBlue Jackets2018212
Manix LandryBlue Jackets2022149
Matt BrassardBlue Jackets201895
Mikhail ShalaginBlue Jackets2020175
Milos RomanBlue Jackets2019124
Olivier NadeauBlue Jackets202256
Pavel KoltyginBlue Jackets201874
Pavel NovakBlue Jackets2021148
Radim SaldaBlue Jackets2019163
Semyon KizimovBlue Jackets2019200
Shawn BoudriasBlue Jackets2019126
Skyler Brind'AmourBlue Jackets2018194
Valentin NussbaumerBlue Jackets2020206
Ville KoivunenBlue Jackets202241
Vladislav YeryomenkoBlue Jackets2019169
Xavier BouchardBlue Jackets2019132
Zachary BouthillierBlue Jackets2019191
Zachary L'HeureuxBlue Jackets202228

Choix au repêchage

Année R1R2R3R4R5R6R7
2023
2024
2025
2026
2027






[2022-09-05 10:15:56] - Raphael Lavoie has been selected as assistant for Monsters.
[2022-09-05 10:15:56] - Jack Dugan is no longer as assistant for Monsters.
[2022-09-02 21:15:53] - TRADE : From Panthers to Blue Jackets : Jonathan Marchessault (77).
[2022-09-02 21:15:53] - TRADE : From Blue Jackets to Panthers : Oliver Bjorkstrand (76).
[2022-08-31 12:48:28] - Adam Mascherin signed with Blue Jackets for 750 000 $ for 1 year(s).
[2022-08-31 12:48:28] - Adam Mascherin was added to Blue Jackets.
[2022-08-29 17:51:47] - Joel Hanley signed with Blue Jackets for 1 150 000 $ for 2 year(s).
[2022-08-29 17:51:47] - Joel Hanley was added to Blue Jackets.
[2022-08-29 17:51:29] - Kevan Miller signed with Blue Jackets for 1 200 000 $ for 1 year(s).
[2022-08-29 17:51:29] - Kevan Miller was added to Blue Jackets.
[2022-08-28 16:31:38] - Greg Pateryn signed with Blue Jackets for 750 000 $ for 1 year(s).
[2022-08-28 16:31:38] - Greg Pateryn was added to Blue Jackets.
[2022-08-24 18:43:48] - TRADE : From Blue Jackets to Capitals : Matt Martin (71).
[2022-08-24 18:43:48] - TRADE : From Capitals to Blue Jackets : Y:2023-RND:4-WAS.
[2022-08-24 17:22:17] - Cole Coskey was released.
[2022-08-24 17:22:17] - Blue Jackets paid 0 $ to release Cole Coskey.
[2022-08-24 17:22:12] - Wyatte Wylie was released.
[2022-08-24 17:22:12] - Blue Jackets paid 0 $ to release Wyatte Wylie.
[2022-08-24 17:21:58] - Jan Drozg was released.
[2022-08-24 17:21:58] - Blue Jackets paid 0 $ to release Jan Drozg.
[2022-08-24 17:21:53] - Kyle Olson was released.
[2022-08-24 17:21:53] - Blue Jackets paid 0 $ to release Kyle Olson.
[2022-07-17 19:58:25] - Tyrell Goulbourne was released.
[2022-07-17 19:58:25] - Andy Welinski was released.
[2022-06-18 21:05:03] - Zachary L'Heureux has been added to Blue Jackets.
[2022-06-18 21:04:36] - Ville Koivunen has been added to Blue Jackets.
[2022-06-18 21:04:15] - Olivier Nadeau has been added to Blue Jackets.
[2022-06-18 21:03:51] - Justin Robidas has been added to Blue Jackets.
[2022-06-18 21:03:25] - Arseni Sergeev has been added to Blue Jackets.
[2022-06-18 21:03:02] - Manix Landry has been added to Blue Jackets.



[2022-09-23 15:58:51] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-09-15 16:39:48] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.1.1
[2022-09-15 16:39:48] Cedric Paquette of Blue Jackets was sent down to farm.
[2022-09-11 15:59:10] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.1.1



Pas de blessure ou de suspension.


Blue Jackets Leaders statistiques (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


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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 (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