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Connexion

Canucks
GP: 9 | W: 3 | L: 6 | OTL: 0 | P: 6
GF: 22 | GA: 36 | PP%: 28.00% | PK%: 78.79%
DG: Luc Chicoine | Morale : 47 | Moyenne d’équipe : 63
Prochains matchs #148 vs Silver Knights

Centre de jeu
Canucks
3-6-0, 6pts
4
5 Monsters
7-1-0, 14pts
Team Stats
L2SéquenceW6
2-3-0Fiche domicile4-1-0
1-3-0Fiche domicile3-0-0
3-6-0Derniers 10 matchs7-1-0
2.44Buts par match 3.75
4.00Buts contre par match 2.50
28.00%Pourcentage en avantage numérique29.03%
78.79%Pourcentage en désavantage numérique88.24%
Griffins
4-4-2, 10pts
6
3 Canucks
3-6-0, 6pts
Team Stats
L1SéquenceL2
2-2-0Fiche domicile2-3-0
2-2-2Fiche domicile1-3-0
4-4-2Derniers 10 matchs3-6-0
3.60Buts par match 2.44
3.80Buts contre par match 4.00
29.63%Pourcentage en avantage numérique28.00%
77.14%Pourcentage en désavantage numérique78.79%
Canucks
3-6-0, 6pts
2025-09-12
Silver Knights
4-4-1, 9pts
Statistiques d’équipe
L2SéquenceL2
2-3-0Fiche domicile2-2-0
1-3-0Fiche visiteur2-2-1
3-6-010 derniers matchs4-4-1
2.44Buts par match 3.11
4.00Buts contre par match 3.11
28.00%Pourcentage en avantage numérique11.11%
78.79%Pourcentage en désavantage numérique78.95%
Admirals
3-4-2, 8pts
2025-09-14
Canucks
3-6-0, 6pts
Statistiques d’équipe
W2SéquenceL2
1-3-0Fiche domicile2-3-0
2-1-2Fiche visiteur1-3-0
3-4-210 derniers matchs3-6-0
2.22Buts par match 2.44
3.00Buts contre par match 2.44
10.00%Pourcentage en avantage numérique28.00%
60.00%Pourcentage en désavantage numérique78.79%
Canucks
3-6-0, 6pts
2025-09-16
Thunderbirds
5-4-1, 11pts
Statistiques d’équipe
L2SéquenceL1
2-3-0Fiche domicile3-1-1
1-3-0Fiche visiteur2-3-0
3-6-010 derniers matchs5-4-1
2.44Buts par match 3.30
4.00Buts contre par match 3.30
28.00%Pourcentage en avantage numérique16.00%
78.79%Pourcentage en désavantage numérique70.73%
Meneurs d'équipe
Buts
Matt Filipe
3
Passes
Matt Filipe
5
Points
Matt Filipe
8
Plus/Moins
Matt Filipe
1
Victoires
Jared Coreau
3
Pourcentage d’arrêts
Maxime Lagace
0.929

Statistiques d’équipe
Buts pour
22
2.44 GFG
Tirs pour
270
30.00 Avg
Pourcentage en avantage numérique
28.0%
7 GF
Début de zone offensive
38.6%
Buts contre
36
4.00 GAA
Tirs contre
322
35.78 Avg
Pourcentage en désavantage numérique
78.8%%
7 GA
Début de la zone défensive
43.1%
Informations de l'équipe

Directeur généralLuc Chicoine
EntraîneurCurt Fraser
DivisionDivision Nord-Ouest
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 56
Espoirs34


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
1Ross Johnston21XX100.0083676174787181756473717569735434496703231,800,000$
2Matt Filipe0X100.0067458372707877757770717567585350496602921,200,000$
3Walteri Merela0XXX100.0074459079737374746263677866514854496602821,200,000$
4Michael Eyssimont (R)0X100.006750867669708372647272716965454049660301900,000$
5Kevin Labanc0XX100.0063459572697584706269677065817342466603011,000,000$
6Nikita Gusev97XX100.0058469972667787706570696868655542526503411,200,000$
7Kasper Bjorkqvist0XX100.005945937270787569696769707058515449640291900,000$
8Marcus Kruger0X100.0058459970717270685765656863816218496403621,000,000$
9Gemel Smith48XXX100.006450927074756970666968696655503449640322900,000$
10Johan Sundstrom0X100.005745986974727070596966706459463049630332850,000$
11Milos Roman0X100.006245917268707271726666715948465849620262750,000$
12Artem Artemov0XX100.008260586870717665656460614664675049620292700,000$
13Mirco Mueller0X100.0061509471707083704569647162805038496503111,300,000$
14Stuart Percy44X100.0061479470707473714567706668645042496403311,200,000$
15Nikita Cherepanov0X100.006245947174706770456567696550454249630301800,000$
16Jared McIsaac0X100.006645867270727166456662695751476639630262750,000$
17Christoffer Sedoff0X100.006545867272717167456862715651486649630242750,000$
18Sergey Zborovskiy0X100.007864727272707767456771685560505049630293900,000$
Rayé
1Sondre Olden0XX100.006145987171707068606664676256453043620341800,000$
2Ivan Lodnia0XX100.006746847371717064586561645749456241600271750,000$
3Jacob Perreault (R)0XX100.006247907269505067596569716545457041600243750,000$
4Colby Ambrosio (R)0X100.005947827065646459755963635945457041580243750,000$
5Jackson Kunz (R)0XX100.007048866872505060586164635945457041580233750,000$
6Bode Wilde0X100.006445857271716862456364685846455844610262750,000$
7Luke Reid (R)0X100.007048796870696959456262665845457041600243750,000$
8Jack Bar (R)0X100.006848806870505059456261665745457041580233750,000$
MOYENNE D’ÉQUIPE100.00664887717169716858666669625750504663
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
1Jared Coreau099.007781798579797980808183555942366503421,000,000$
2Maxime Lagace0100.00778077787974807879808250543051630332800,000$
Rayé
1Dennis Hildeby0100.00606161866060616060615847526646520252500,000$
MOYENNE D’ÉQUIPE99.6771747283737173737374745155464460
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Curt Fraser52997357999915USA672100,000$


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
1Matt FilipeCanucks (Van)C935814011232971210.34%415917.761346200000260055.22%23000001.0000000111
2Walteri MerelaCanucks (Van)C/LW/RW9246-300125269177.69%115717.450225200002280049.54%21600000.7600000000
3Nikita GusevCanucks (Van)LW/RW923517531224478.33%013114.56112719000001050.00%1400000.7600100001
4Kevin LabancCanucks (Van)LW/RW9235100941341415.38%216218.052244200000281043.75%1600000.6200000000
5Ross JohnstonCanucks (Van)LW/RW9235-360178317206.45%115517.290118200001250041.67%1200000.6400000010
6Nikita CherepanovCanucks (Van)D9134-3605711459.09%1319621.78112720000024000%000000.4100000001
7Michael EyssimontCanucks (Van)C8134-3201221684.76%011914.94101819000010036.36%2200000.6700000000
8Milos RomanCanucks (Van)C9134-500013193135.26%310912.1700000000001050.00%14800000.7300000000
9Jared McIsaacCanucks (Van)D9033-4601836170%718420.52011318000025000%000000.3200000000
10Sergey ZborovskiyCanucks (Van)D9213-5140154131715.38%1116117.95101615000014000%000000.3700000000
11Kasper BjorkqvistCanucks (Van)LW/RW9202-500151121118.18%012313.6700003000000057.14%700000.3300000001
12Marcus KrugerCanucks (Van)C9112-70085103610.00%110912.2100000000000040.74%13500000.3600000000
13Stuart PercyCanucks (Van)D9112-6408812048.33%720322.65011319000023000%000000.2000000000
14Artem ArtemovCanucks (Van)LW/RW9112-580196102310.00%110912.1700000000000075.00%400000.3700000100
15Johan SundstromCanucks (Van)C9011-7001612260%211512.8900000000020038.46%1300000.1700000000
16Mirco MuellerCanucks (Van)D5011-1401174120%710320.7701127000013000%000000.1900000000
17Christoffer SedoffCanucks (Van)D9011-620675450%614716.3600011000012000%000000.1400000000
18Gemel SmithCanucks (Van)C/LW/RW9101-7601413133107.69%111112.3400000000000080.00%500000.1800000000
19Bode WildeCanucks (Van)D4011-320520000%67719.350000000001000%000000.2600000000
20Sondre OldenCanucks (Van)LW/RW1000000000000%011.280000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne162223860-70715153160270631578.15%73264016.30713206020900032303049.39%82200000.4500100224
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
1Jared CoreauCanucks (Van)93600.8784.1641800292370100090110
2Maxime LagaceCanucks (Van)30000.9293.00120006840010009000
Statistiques d’équipe totales ou en moyenne123600.8913.905390035321011099110


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 Plafond 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
Artem ArtemovCanucks (Van)LW/RW291997-01-17RUSNo205 Lbs5 ft11NoNoN/ANoNo22026-05-12FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Bode WildeCanucks (Van)D262000-01-24CANNo195 Lbs6 ft3NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Christoffer SedoffCanucks (Van)D242002-02-20FINNo210 Lbs6 ft1NoNoTrade2026-06-04NoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Colby AmbrosioCanucks (Van)C242002-08-07CANYes170 Lbs5 ft9NoNoTrade2026-06-04NoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Dennis HildebyCanucks (Van)G252001-08-19SWENo224 Lbs6 ft7NoNoFree AgentNoNo22026-05-12FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Gemel SmithCanucks (Van)C/LW/RW321994-04-16CANNo210 Lbs6 ft0NoNoFree Agent2025-04-09NoNo22026-07-15FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Ivan LodniaCanucks (Van)LW/RW271999-08-31USANo202 Lbs5 ft11NoNoProspectNoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Jack BarCanucks (Van)D232002-10-07CANYes193 Lbs6 ft2NoNoTrade2026-06-04NoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Jackson KunzCanucks (Van)LW/RW232002-09-13USAYes210 Lbs6 ft3NoNoTrade2026-06-04NoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Jacob PerreaultCanucks (Van)LW/RW242002-04-15CANYes185 Lbs5 ft11NoNoTrade2026-06-04NoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Jared CoreauCanucks (Van)G341991-11-05CANNo220 Lbs6 ft6NoNoFree AgentNoNo22026-07-06FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Jared McIsaacCanucks (Van)D262000-03-24CANNo192 Lbs6 ft1NoNoTrade2026-06-04NoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Johan SundstromCanucks (Van)C331992-09-21SWENo202 Lbs6 ft2NoNoFree AgentNoNo22026-07-17FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Kasper BjorkqvistCanucks (Van)LW/RW291997-07-10FINNo198 Lbs6 ft1NoNoN/ANoNo12025-05-28FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Kevin LabancCanucks (Van)LW/RW301995-12-12USANo185 Lbs5 ft11NoNoFree AgentNoNo12026-07-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Luke ReidCanucks (Van)D242001-09-26CANYes200 Lbs6 ft1NoNoTrade2026-06-04NoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Marcus KrugerCanucks (Van)C361990-05-27SWENo190 Lbs6 ft0NoNoFree AgentNoNo22026-07-28FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Matt FilipeCanucks (Van)C291997-01-31USANo196 Lbs6 ft2NoNoN/ANoNo22026-05-12FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Maxime LagaceCanucks (Van)G331993-01-12CANNo190 Lbs6 ft2NoNoFree AgentNoNo22026-07-08FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Michael EyssimontCanucks (Van)C301996-09-09USAYes195 Lbs6 ft0NoNoFree AgentNoNo12026-05-11FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Milos RomanCanucks (Van)C261999-11-06SVKNo188 Lbs6 ft0NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Mirco MuellerCanucks (Van)D311995-03-21CHENo176 Lbs6 ft2NoNoFree AgentNoNo12025-07-06FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Nikita CherepanovCanucks (Van)D301995-11-19RUSNo209 Lbs6 ft3NoNoFree AgentNoNo12026-07-15FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Nikita GusevCanucks (Van)LW/RW341992-07-08RUSNo163 Lbs5 ft8NoNoFree AgentNoNo12024-07-24FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Ross JohnstonCanucks (Van)LW/RW321994-02-18CANNo232 Lbs6 ft5NoNoFree Agent2025-11-02NoNo32026-07-03FalseFalsePro & Farm1,800,000$0$0$No1,800,000$1,800,000$-------1,800,000$1,800,000$-------NoNo-------Lien
Sergey ZborovskiyCanucks (Van)D291997-02-21RUSNo209 Lbs6 ft4NoNoN/ANoNo32026-05-12FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Sondre OldenCanucks (Van)LW/RW341992-08-29NORNo176 Lbs6 ft4NoNoFree Agent2025-09-09NoNo12026-07-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Stuart PercyCanucks (Van)D331993-05-18CANNo187 Lbs6 ft0NoNoFree AgentNoNo12024-07-24FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Walteri MerelaCanucks (Van)C/LW/RW281998-07-06FINNo210 Lbs6 ft3NoNoFree AgentNoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2928.90197 Lbs6 ft11.93912,069$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ross JohnstonWalteri MerelaMichael Eyssimont25113
2Kevin LabancMatt FilipeNikita Gusev25113
3Johan SundstromMarcus KrugerGemel Smith25122
4Kasper BjorkqvistMilos RomanArtem Artemov25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jared McIsaacStuart Percy35122
2Nikita CherepanovMirco Mueller35122
3Christoffer SedoffSergey Zborovskiy25122
4Mirco MuellerStuart Percy5122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ross JohnstonMichael EyssimontWalteri Merela50104
2Kevin LabancMatt FilipeNikita Gusev50104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sergey ZborovskiyStuart Percy50104
2Nikita CherepanovJared McIsaac50104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Walteri MerelaRoss Johnston50131
2Matt FilipeKevin Labanc50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sergey ZborovskiyMirco Mueller50131
2Nikita CherepanovJared McIsaac50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Walteri Merela50140Sergey ZborovskiyMirco Mueller50140
2Matt Filipe50140Nikita CherepanovJared McIsaac50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Walteri MerelaRoss Johnston50122
2Matt FilipeKevin Labanc50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mirco MuellerStuart Percy50122
2Nikita CherepanovJared McIsaac50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ross JohnstonMichael EyssimontKevin LabancMirco MuellerStuart Percy
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ross JohnstonMichael EyssimontKevin LabancMirco MuellerStuart Percy
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Eyssimont, Nikita Gusev, Gemel SmithKevin Labanc, Nikita GusevJohan Sundstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jared McIsaac, Christoffer Sedoff, Sergey ZborovskiyJared McIsaacJared McIsaac, Christoffer Sedoff
Tirs de pénalité
Ross Johnston, Walteri Merela, Kevin Labanc, Matt Filipe, Johan Sundstrom
Gardien
#1 : Jared Coreau, #2 : Maxime Lagace


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
1Barracuda22000000835110000005141100000032141.000814220086805986106780731816318337.50%80100.00%016231751.10%17235448.59%7215147.68%2001322196811956
2Checkers1010000025-3000000000001010000025-300.00024600868025861067803681121200.00%3166.67%016231751.10%17235448.59%7215147.68%2001322196811956
3Eagles1010000017-6000000000001010000017-600.00011200868025861067803812812100.00%4175.00%016231751.10%17235448.59%7215147.68%2001322196811956
4Griffins1010000036-31010000036-30000000000000.00036910868017861067803856103133.33%3166.67%016231751.10%17235448.59%7215147.68%2001322196811956
5Icehogs1010000002-21010000002-20000000000000.0000000086803286106780296415200.00%2150.00%016231751.10%17235448.59%7215147.68%2001322196811956
6Monsters1010000045-1000000000001010000045-100.000461000868042861067803864244125.00%2150.00%016231751.10%17235448.59%7215147.68%2001322196811956
7SenatorsF1010000016-51010000016-50000000000000.00012300868024861067804491621100.00%8187.50%016231751.10%17235448.59%7215147.68%2001322196811956
8Wranglers11000000321110000003210000000000021.00035800868046861067802696194250.00%3166.67%016231751.10%17235448.59%7215147.68%2001322196811956
Total936000002236-14523000001217-5413000001019-960.33322386010868027086106780322737115325728.00%33778.79%016231751.10%17235448.59%7215147.68%2001322196811956
_Since Last GM Reset936000002236-14523000001217-5413000001019-960.33322386010868027086106780322737115325728.00%33778.79%016231751.10%17235448.59%7215147.68%2001322196811956
_Vs Conference734000001925-6422000001111031200000814-660.42919325110868022186106780242564411122731.82%22577.27%016231751.10%17235448.59%7215147.68%2001322196811956
_Vs Division311000001156210000008351010000032120.333111930008680105861067809927225012541.67%11190.91%016231751.10%17235448.59%7215147.68%2001322196811956

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
96L2223860270322737115310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
93600002236
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001217
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41300001019
Derniers 10 matchs
WLOTWOTL SOWSOL
360000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
25728.00%33778.79%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
861067808680
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
16231751.10%17235448.59%7215147.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2001322196811956


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
2 - 2025-08-2615SenatorsF6Canucks1LSommaire du match
3 - 2025-08-2722Barracuda1Canucks5WSommaire du match
5 - 2025-08-2941Icehogs2Canucks0LSommaire du match
6 - 2025-08-3054Canucks2Checkers5LSommaire du match
8 - 2025-09-0164Canucks1Eagles7LSommaire du match
11 - 2025-09-0494Wranglers2Canucks3WSommaire du match
13 - 2025-09-06106Canucks3Barracuda2WSommaire du match
15 - 2025-09-08119Canucks4Monsters5LSommaire du match
17 - 2025-09-10134Griffins6Canucks3LSommaire du match
19 - 2025-09-12148Canucks-Silver Knights-
21 - 2025-09-14162Admirals-Canucks-
23 - 2025-09-16176Canucks-Thunderbirds-
25 - 2025-09-18189Canucks-Icehogs-
27 - 2025-09-20204Barracuda-Canucks-
29 - 2025-09-22225Reign-Canucks-
31 - 2025-09-24236Canucks-Roadrunners-
33 - 2025-09-26256Canucks-Iowa Wild-
35 - 2025-09-28266Canucks-Gulls-
36 - 2025-09-29272Silver Knights-Canucks-
40 - 2025-10-03300Rocket-Canucks-
42 - 2025-10-05310Canucks-Monsters-
44 - 2025-10-07329Reign-Canucks-
46 - 2025-10-09343Canucks-Checkers-
48 - 2025-10-11356Canucks-Gulls-
49 - 2025-10-12365Phantoms-Canucks-
53 - 2025-10-16394Thunderbirds-Canucks-
55 - 2025-10-18406Canucks-Iowa Wild-
57 - 2025-10-20426Monsters-Canucks-
60 - 2025-10-23447Canucks-Icehogs-
62 - 2025-10-25459Barracuda-Canucks-
64 - 2025-10-27477Canucks-Phantoms-
66 - 2025-10-29490Griffins-Canucks-
68 - 2025-10-31503Canucks-Marlies-
70 - 2025-11-02520PenguinsF-Canucks-
72 - 2025-11-04541Admirals-Canucks-
74 - 2025-11-06553Canucks-StarsF-
76 - 2025-11-08570Canucks-Roadrunners-
78 - 2025-11-10583Monsters-Canucks-
81 - 2025-11-13606Wranglers-Canucks-
83 - 2025-11-15624Canucks-Wolf Pack-
86 - 2025-11-18644Roadrunners-Canucks-
88 - 2025-11-20657Canucks-Crunch-
90 - 2025-11-22672Crunch-Canucks-
92 - 2025-11-24687Canucks-Griffins-
94 - 2025-11-26702Moose-Canucks-
97 - 2025-11-29717Canucks-Thunderbirds-
99 - 2025-12-01736Canucks-Americans-
100 - 2025-12-02741StarsF-Canucks-
103 - 2025-12-05765Canucks-Wolves-
104 - 2025-12-06773StarsF-Canucks-
108 - 2025-12-10800Thunderbirds-Canucks-
112 - 2025-12-14827Condors-Canucks-
113 - 2025-12-15838Canucks-Barracuda-
116 - 2025-12-18858Canucks-Bears-
117 - 2025-12-19867Silver Knights-Canucks-
120 - 2025-12-22889Canucks-Wranglers-
121 - 2025-12-23897Eagles-Canucks-
124 - 2025-12-26920Canucks-Reign-
126 - 2025-12-28929Comets-Canucks-
128 - 2025-12-30949Canucks-Eagles-
130 - 2026-01-01962BruinsF-Canucks-
133 - 2026-01-04985Canucks-Wranglers-
135 - 2026-01-06997Firebirds-Canucks-
137 - 2026-01-081018Canucks-Reign-
139 - 2026-01-101028Americans-Canucks-
141 - 2026-01-121042Canucks-Silver Knights-
143 - 2026-01-141055Canucks-Islanders-
145 - 2026-01-161067Icehogs-Canucks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-191090Condors-Canucks-
150 - 2026-01-211105Canucks-StarsF-
152 - 2026-01-231121Canucks-Griffins-
153 - 2026-01-241132Eagles-Canucks-
157 - 2026-01-281155Canucks-Condors-
158 - 2026-01-291164Gulls-Canucks-
161 - 2026-02-011185Canucks-Condors-
162 - 2026-02-021195Gulls-Canucks-
164 - 2026-02-041206Canucks-Eagles-
167 - 2026-02-071225Canucks-Bears-
168 - 2026-02-081232Roadrunners-Canucks-
171 - 2026-02-111247Canucks-Admirals-
173 - 2026-02-131265Iowa Wild-Canucks-
174 - 2026-02-141273Canucks-Admirals-
177 - 2026-02-171297SenatorsF-Canucks-
182 - 2026-02-221327Iowa Wild-Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance10,0005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 3000 - 100.00% 178,800$894,000$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
261,355$ 2,645,000$ 2,645,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 251,573$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,615,600$ 166 14,918$ 2,476,388$




Canucks 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

Canucks 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

Canucks 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

Canucks 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

Canucks 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