Connexion

La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.
Centre de jeu
GoldenKnights
6-6-2, 14pts
2
FINAL
5 Canucks
9-6-0, 18pts
Team Stats
L2StreakL1
3-2-1Home Record7-3-0
3-4-1Away Record2-3-0
3-6-1Last 10 Games6-4-0
3.14Goals Per Game3.80
3.14Goals Against Per Game3.07
11.84%Power Play Percentage25.58%
77.05%Penalty Kill Percentage81.82%
Canucks
9-6-0, 18pts
1
FINAL
3 Oilers
7-7-2, 16pts
Team Stats
L1StreakW2
7-3-0Home Record4-5-1
2-3-0Away Record3-2-1
6-4-0Last 10 Games4-4-2
3.80Goals Per Game2.69
3.07Goals Against Per Game2.63
25.58%Power Play Percentage14.46%
81.82%Penalty Kill Percentage78.16%
MapleLeafs
11-2-2, 24pts
Jour 32
Canucks
9-6-0, 18pts
Stats Équipe
L1SéquenceL1
6-1-0Fiche domicile7-3-0
5-1-2Fiche visiteur2-3-0
8-1-110 derniers matchs6-4-0
4.40Buts par match 3.80
3.67Buts contre par match 3.07
26.67%Pourcentage en avantage numérique25.58%
85.00%Pourcentage en désavantage numérique81.82%
Canucks
9-6-0, 18pts
Jour 35
GoldenKnights
6-6-2, 14pts
Stats Équipe
L1SéquenceL2
7-3-0Fiche domicile3-2-1
2-3-0Fiche visiteur3-4-1
6-4-010 derniers matchs3-6-1
3.80Buts par match 3.14
3.07Buts contre par match 3.14
25.58%Pourcentage en avantage numérique11.84%
81.82%Pourcentage en désavantage numérique77.05%
Canucks
9-6-0, 18pts
Jour 38
Mammoth
6-8-2, 14pts
Stats Équipe
L1SéquenceW1
7-3-0Fiche domicile4-3-1
2-3-0Fiche visiteur2-5-1
6-4-010 derniers matchs4-6-0
3.80Buts par match 2.81
3.07Buts contre par match 3.94
25.58%Pourcentage en avantage numérique28.99%
81.82%Pourcentage en désavantage numérique79.00%
Meneurs d'équipe
Roope HintzButs
Roope Hintz
14
Marcus PetterssonPasses
Marcus Pettersson
13
Roope HintzPoints
Roope Hintz
24
Seth JonesPlus/Moins
Seth Jones
5
Joey DaccordVictoires
Joey Daccord
9
Joey DaccordPourcentage d’arrêts
Joey Daccord
0.891

Stats Équipe
Buts pour
57
3.80 GFG
Tirs pour
512
34.13 Avg
Pourcentage en avantage numérique
25.6%
22 GF
Début de zone offensive
43.2%
Buts contre
46
3.07 GAA
Tirs contre
420
28.00 Avg
Pourcentage en désavantage numérique
81.8%
12 GA
Début de la zone défensive
38.9%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralJonathan Lee
EntraîneurPaul Maurice
DivisionPacific
ConférenceWestern
CapitaineAnze Kopitar
Assistant #1Ryan Nugent-Hopkins
Assistant #2Seth Jones
Uniformes
Informations de l’aréna
NomRogers Arena
Capacité25,000
Assistance21,591
Billets de saison10,000
Information formation
Équipe Pro21
Équipe Mineure25
Limite contact 46 / 50
Espoirs96
Plafond salarial
Cap Salarial de la Saison estimé89,972,232$
Plafond salarial disponible27,768$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21
Finance
Revenu annuel à ce jour18,782,640$
Dépenses annuelles à ce jour15,996,760$
Revenus de la saison estimés58,226,184$
Dépenses de la saison estimées75,975,480$
Compte bancaire actuel342,280,748$
Compte bancaire projeté321,850,644$
Historique d'équipe
Saison actuelle9-6-0 (18PTS)
Historique1055-485-124 (0.634%)
Apparitions séries éliminatoires 18
Historique séries éliminatoires (W-L)152-113
Stanley Cup1


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
1Anze Kopitar (C)X96.004958898680869879928771797698925307703827,500,000$
2Roope HintzX99.0056558288748395818982807757808250297702938,000,000$
3Gabriel VilardiX100.0047558687758592808479817167748065297502623,500,000$
4Ryan Nugent-Hopkins (A)X99.0048478486598696718470718475868635297303237,000,000$
5Anton LundellX100.0073488184618297688869688587707675297202457,500,000$
6Troy TerryX100.0042468588578696744076726969788255297202846,000,000$
7Dylan CozensX100.0099587382718399698671666540707775297002436,500,000$
8Alexander LaferriereX100.0078518583668296677264707140707675297002413,500,000$
9Luke EvangelistaX100.0050448484537889644067626940687380296602333,000,000$
10Philipp KurashevX100.0054468579567778568251616480747665296202645,000,000$
11Paul Ludwinski (R)X100.005947818754746433402639544064699026520211575,000$
12Julian Lutz (R)X100.006648858461605036403933534064629026510211575,000$
13Seth Jones (A)X100.0076568382769186714075688440848840297703126,500,000$
14Mattias EkholmX99.0055608180848787694070679240929020297703536,000,000$
15Marcus PetterssonX100.0064497879588696614066569040808350297302913,500,000$
16Jonas BrodinX100.0053498381638877634066608940868735297303214,000,000$
17Hampus LindholmX100.0047588579818455664059728740848440307103126,500,000$
18Jack ThompsonX100.004947848158766461405666734068728032650231715,000$
Rayé
1Jake GuentzelX100.0048428496488898868180927577848640247803131$
Équipe Mineure
1Cody GlassX100.0059528578687787598660587699747665246602611,331,000$
2Peyton KrebsX100.0079557581547898598458606740707475316502411,017,500$
3Alex NewhookX100.0065478480598099587851656340707575316402412,000,000$
4Sam Colangelo (R)X100.008953897871756560404576604070737531630241575,000$
5Adam EdstromX100.008370797596707852404658654072717031620251632,500$
6Ryan SuzukiX100.0063678281587868607070445099707475316102411,119,250$
7Bradly Nadeau (R)X100.005043799345736362405370509962689531610203925,000$
8Sean FarrellX100.004139878043766652404954684070737531580241632,500$
9Jake WiseX100.004944847852655551404853704072697031570251632,500$
10Samuel Honzek (R)X100.007252838167615142404143634064639031550213925,000$
11Conor TimminsX100.0059558175747889554054557640767760226702711,331,000$
12Ville OttavainenX100.006958787584726735403435674068708031610231632,500$
13Isaiah George (R)X100.005048867661766652405054664064709031610211575,000$
14William VilleneuveX100.004240757857595456407039704068648031600231925,000$
15Domenick FensoreX100.004652787743716647404847704070717531600241632,500$
16Maksymilian SzuberX100.005438767568696447405243574068698031590231632,500$
17Jack MatierX100.006350827576555033403233654066618524570221632,500$
18William WallinderX100.005640877572666138404234564068678031570231632,500$
19Jake NeighboursX100.008959768562819968406472679968758022690231925,000$
20Otto Stenberg (R)X100.005441889049605043404641654062619520540203925,000$
21Jacob MelansonX100.006768677567605038403046574066638520510221632,500$
22Jamieson ReesX100.0055618575506050394040385340706575205002411,119,250$
MOYENNE D’ÉQUIPE99.83605182816476765854575869527374682865
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
1Joey Daccord100.009299999089838287898772808250248502913,500,000$
2Erik Portillo100.00775060995050505050509972617036590251632,500$
Rayé
Équipe Mineure
1Samuel Ersson100.008787909072737274726999747465257502631,500,000$
2Dylan Garand100.00776873816160626161618768648027640231925,000$
3Nikke Kokko (R)100.00756063885856576055569164609022610211575,000$
MOYENNE D’ÉQUIPE100.0082737790666465666565907268712769
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice99938568938654CAN5832,000,000$


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
1Roope HintzCanucksC15141024-7120274154173925.93%231220.86871521610001392059.89%37400011.5300000320
2Marcus PetterssonCanucksD1511314-120023142012185.00%1731921.311671564000041000.00%000000.8800000001
3Troy TerryCanucksRW155914-60081949102410.20%027018.032571362000001138.46%1300001.0400000110
4Jonas BrodinCanucksD1521113-14012102910146.90%1932721.812572164000048000.00%000000.7900000020
5Mattias EkholmCanucksD15211134409232711257.41%1837825.260441868011057000.00%000000.6900000100
6Ryan Nugent-HopkinsCanucksLW155712-660162144133911.36%328919.3143714660000132061.54%2600000.8300000001
7Seth JonesCanucksD152911518043183611235.56%1537324.922462668000053100.00%000000.5900000000
8Anze KopitarCanucksC15371039515393511348.57%735623.7913411690001681056.59%44000000.5600001101
9Anton LundellCanucksC155510410014343981912.82%419913.3000001000001052.11%21300011.0000000111
10Gabriel VilardiCanucksRW15369210015115017396.00%030320.2114516690000290052.94%1700000.5900000111
11Jake GuentzelCanucksLW1044822011335619347.14%225325.3211216360001470050.39%12700000.6300000001
12Jake NeighboursWolves (Van)LW10516724101471831327.78%113113.1300000000021027.27%1100010.9100002100
13Alexander LaferriereCanucksRW15246580815317286.45%020413.6300000101170050.00%1600000.5900000001
14Hampus LindholmCanucksD15235-319517111361315.38%2119212.820000000002000.00%000000.5200001011
15Jack ThompsonCanucksD15112-212025351220.00%1520713.8400000000120000.00%000000.1900000000
16Dylan CozensCanucksC150111401022200.00%0483.21000000000120052.24%6700000.4100000000
17Luke EvangelistaCanucksRW151011000420350.00%0362.410000000000000.00%100000.5500000000
18Philipp KurashevCanucksC15000000000000.00%080.59000030000000100.00%100000.0000000000
19Julian LutzCanucksLW5000-320111010.00%06613.230000000000000.00%800000.0000000000
20Paul LudwinskiCanucksLW50001201201000.00%08817.76000028000000033.33%600000.0000000000
Statistiques d’équipe totales ou en moyenne2705710215961662028030651215836811.13%124436916.1822426417166811254459155.08%132000030.7300004988
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
1Joey DaccordCanucks159600.8913.1384302444030000.0000150100
2Erik PortilloCanucks20000.8822.1855002170000.0000015000
Statistiques d’équipe totales ou en moyenne179600.8903.0789902464200000.00001515100


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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Alexander LaferriereCanucksRW242001-10-28No205 Lbs6 ft1NoNoYes1Pro & Farm3,500,000$3,500,000$2,890,449$No
RFA
Lien / Lien NHL
Anton LundellCanucksC242001-10-03No196 Lbs6 ft1NoNoYes5Pro Only7,500,000$7,500,000$6,193,820$No7,500,000$7,500,000$7,500,000$7,500,000$
UFA
Lien / Lien NHL
Anze KopitarCanucksC381987-08-24No225 Lbs6 ft3NoNoYes2Pro Only7,500,000$7,500,000$6,193,820$No7,500,000$
UFA
Lien / Lien NHL
Dylan CozensCanucksC242001-02-09No207 Lbs6 ft3NoNoYes3Pro Only6,500,000$6,500,000$5,367,978$No6,500,000$6,500,000$
RFA
Lien / Lien NHL
Erik PortilloCanucksG252000-09-03No224 Lbs6 ft6NoNoNo1Pro & Farm632,500$632,500$522,346$No
RFA
Lien / Lien NHL
Gabriel VilardiCanucksRW261999-08-16No216 Lbs6 ft3NoNoYes2Pro & Farm3,500,000$3,500,000$2,890,449$No3,500,000$
UFA
Lien / Lien NHL
Hampus LindholmCanucksD311994-01-20No224 Lbs6 ft4NoNoYes2Pro Only6,500,000$6,500,000$5,367,978$No6,500,000$
UFA
Lien / Lien NHL
Jack ThompsonCanucksD232002-03-19No189 Lbs6 ft1NoNoNo1Pro & Farm715,000$715,000$590,478$No
RFA
Lien / Lien NHL
Jake GuentzelCanucksLW311994-10-06No178 Lbs5 ft11YesNoYes3Pro Only1$1$1$No10,000,000$10,000,000$
UFA
Lien / Lien NHL
Joey DaccordCanucksG291996-08-19No197 Lbs6 ft2NoNoYes1Pro & Farm3,500,000$3,500,000$2,890,449$No
UFA
Lien / Lien NHL
Jonas BrodinCanucksD321993-07-12No196 Lbs6 ft2NoNoYes1Pro & Farm4,000,000$4,000,000$3,303,371$No
UFA
Lien / Lien NHL
Julian LutzCanucksLW212004-02-29Yes192 Lbs6 ft2NoNoNo1Pro & Farm575,000$575,000$474,860$No
RFA
Lien / Lien NHL
Luke EvangelistaCanucksRW232002-02-21No183 Lbs6 ft0NoNoYes3Pro & Farm3,000,000$3,000,000$2,477,528$No3,000,000$3,000,000$
RFA
Lien / Lien NHL
Marcus PetterssonCanucksD291996-05-08No174 Lbs6 ft5NoNoYes1Pro & Farm3,500,000$3,500,000$2,890,449$No
UFA
Lien / Lien NHL
Mattias EkholmCanucksD351990-05-24No225 Lbs6 ft5NoNoYes3Pro Only6,000,000$6,000,000$4,955,056$No6,000,000$6,000,000$
UFA
Lien / Lien NHL
Paul LudwinskiCanucksLW212004-04-23Yes185 Lbs6 ft0NoNoNo1Pro & Farm575,000$575,000$474,860$No
RFA
Lien / Lien NHL
Philipp KurashevCanucksC261999-10-12No190 Lbs6 ft0NoNoYes4Pro Only5,000,000$5,000,000$4,129,213$No5,000,000$5,000,000$5,000,000$
UFA
Lien / Lien NHL
Roope HintzCanucksC291996-11-17No213 Lbs6 ft3NoNoYes3Pro Only8,000,000$8,000,000$6,606,742$No8,000,000$8,000,000$
UFA
Lien / Lien NHL
Ryan Nugent-HopkinsCanucksLW321993-04-12No192 Lbs6 ft1NoNoYes3Pro Only7,000,000$7,000,000$5,780,899$No7,000,000$7,000,000$
UFA
Lien / Lien NHL
Seth JonesCanucksD311994-10-03No213 Lbs6 ft4NoNoYes2Pro Only6,500,000$6,500,000$5,367,978$No6,500,000$
UFA
Lien / Lien NHL
Troy TerryCanucksRW281997-09-10No191 Lbs6 ft0NoNoYes4Pro Only6,000,000$6,000,000$4,955,056$No6,000,000$6,000,000$6,000,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2127.71201 Lbs6 ft22.244,285,595$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
89,997,501$83,000,000$59,000,000$18,500,000$7,500,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan Nugent-HopkinsAnze KopitarGabriel Vilardi40122
2Paul LudwinskiRoope HintzTroy Terry30122
3Julian LutzAnton LundellAlexander Laferriere20122
4Anze KopitarDylan CozensLuke Evangelista10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias EkholmSeth Jones40122
2Jonas BrodinMarcus Pettersson30122
3Hampus LindholmJack Thompson20122
4Mattias EkholmSeth Jones10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan Nugent-HopkinsAnze KopitarGabriel Vilardi60122
2Paul LudwinskiRoope HintzTroy Terry40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias EkholmSeth Jones60122
2Jonas BrodinMarcus Pettersson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anze KopitarRoope Hintz60122
2Gabriel VilardiRyan Nugent-Hopkins40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias EkholmSeth Jones60122
2Jonas BrodinMarcus Pettersson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anze Kopitar60122Mattias EkholmSeth Jones60122
2Roope Hintz40122Jonas BrodinMarcus Pettersson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anze KopitarRoope Hintz60122
2Gabriel VilardiRyan Nugent-Hopkins40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias EkholmSeth Jones60122
2Jonas BrodinMarcus Pettersson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan Nugent-HopkinsAnze KopitarGabriel VilardiMattias EkholmSeth Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan Nugent-HopkinsAnze KopitarGabriel VilardiMattias EkholmSeth Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Philipp Kurashev, Anton Lundell, Alexander LaferrierePhilipp Kurashev, Anton LundellAlexander Laferriere
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hampus Lindholm, Jack Thompson, Jonas BrodinHampus LindholmJack Thompson, Jonas Brodin
Tirs de pénalité
Anze Kopitar, Roope Hintz, Gabriel Vilardi, Ryan Nugent-Hopkins, Troy Terry
Gardien
#1 : Joey Daccord, #2 : Erik Portillo


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
1Blackhawks1010000035-2000000000001010000035-200.00036900102030111090371014178225.00%7357.14%032257056.49%28351455.06%12223651.69%2518226116
2BlueJackets1010000025-31010000025-30000000000000.000246001010321778045151418400.00%6183.33%032257056.49%28351455.06%12223651.69%2215257115
3Blues1010000034-1000000000001010000034-100.0003690011103414101002710625200.00%30100.00%032257056.49%28351455.06%12223651.69%2215256115
4Devils11000000431110000004310000000000021.0004610002020311489027108226116.67%40100.00%132257056.49%28351455.06%12223651.69%2214247136
5Ducks11000000844110000008440000000000021.0008142200314039121512038126125240.00%2150.00%032257056.49%28351455.06%12223651.69%2517217136
6Flames11000000606110000006060000000000021.000612180114103961419017713238225.00%40100.00%032257056.49%28351455.06%12223651.69%2719197126
7GoldenKnights11000000523110000005230000000000021.0005914003110369171001968238337.50%4175.00%032257056.49%28351455.06%12223651.69%2618217126
8Kings11000000541110000005410000000000021.000581300410028712904298182150.00%4175.00%032257056.49%28351455.06%12223651.69%2014267125
9Oilers1010000013-2000000000001010000013-200.0001230001002875160278161810110.00%8275.00%032257056.49%28351455.06%12223651.69%2618196137
10Predators11000000321000000000001100000032121.00036900210040131710025410216233.33%40100.00%032257056.49%28351455.06%12223651.69%2517227126
11Rangers1010000026-41010000026-40000000000000.000246001100299119027914274125.00%6350.00%032257056.49%28351455.06%12223651.69%2315227136
12Senators11000000303110000003030000000000021.0003580111104519131302536154125.00%30100.00%032257056.49%28351455.06%12223651.69%2719207126
13Sharks11000000413110000004130000000000021.0004812000130371211140201012117342.86%60100.00%032257056.49%28351455.06%12223651.69%2417238126
14Stars211000008711010000046-21100000041320.500812200032306428132304411313012325.00%50100.00%032257056.49%28351455.06%12223651.69%503643142512
Total159600000574611107300000433112523000001415-1180.600571021590223151905121781631710420124166280862225.58%661281.82%132257056.49%28351455.06%12223651.69%37126133911118994
_Since Last GM Reset159600000574611107300000433112523000001415-1180.600571021590223151905121781631710420124166280862225.58%661281.82%132257056.49%28351455.06%12223651.69%37126133911118994
_Vs Conference11740000046321465100000321715523000001415-1140.6364683129011813150375119124132029687124198681927.94%47882.98%032257056.49%28351455.06%12223651.69%2761942468113668
_Vs Division65100000291415550000002811171010000013-2100.833295382011199020753748001635263105401230.00%28582.14%032257056.49%28351455.06%12223651.69%151105132457638

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1518L15710215951242012416628002
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
159600005746
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
107300004331
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001415
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
862225.58%661281.82%1
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
17816317102315190
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
32257056.49%28351455.06%12223651.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
37126133911118994


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
114Canucks3Blues4ALSommaire du match
325Canucks3Predators2AWSommaire du match
543Sharks1Canucks4BWSommaire du match
868Stars6Canucks4BLSommaire du match
1082Kings4Canucks5BWSommaire du match
1293Ducks4Canucks8BWSommaire du match
14107BlueJackets5Canucks2BLSommaire du match
15120Flames0Canucks6BWSommaire du match
18139Senators0Canucks3BWSommaire du match
20151Canucks3Blackhawks5ALSommaire du match
21158Canucks4Stars1AWSommaire du match
23179Devils3Canucks4BWSommaire du match
25192Rangers6Canucks2BLSommaire du match
29224GoldenKnights2Canucks5BWSommaire du match
31234Canucks1Oilers3ALSommaire du match
32242MapleLeafs-Canucks-
35263Canucks-GoldenKnights-
38282Canucks-Mammoth-
39290Canucks-Avalanche-
41310Ducks-Canucks-
43327Islanders-Canucks-
45343Mammoth-Canucks-
50377Canucks-Sharks-
52390Canucks-Kings-
53396Canucks-Ducks-
55411Sharks-Canucks-
57432Flames-Canucks-
59439Canucks-Blackhawks-
61463Canucks-Capitals-
62466Canucks-Flyers-
64472Canucks-Avalanche-
70506Hurricanes-Canucks-
73521RedWings-Canucks-
75538Sabres-Canucks-
77551Oilers-Canucks-
80572Panthers-Canucks-
83600Mammoth-Canucks-
88636Canucks-MapleLeafs-
90647Canucks-Canadiens-
91657Canucks-Senators-
93671Canucks-Devils-
95677Canucks-Flames-
97695Canucks-Oilers-
99726Jets-Canucks-
101741Blues-Canucks-
103755Lightning-Canucks-
105766Oilers-Canucks-
106776Flyers-Canucks-
108790Canucks-Predators-
110801Canucks-BlueJackets-
112816Canucks-Blues-
115842Predators-Canucks-
117855Wild-Canucks-
120877Stars-Canucks-
122889GoldenKnights-Canucks-
124904Kings-Canucks-
127918Canucks-Kings-
128936Canucks-Sharks-
129941Canucks-Ducks-
131964Jets-Canucks-
133980Canadiens-Canucks-
135990Canucks-Wild-
1371006Canucks-Islanders-
1381012Canucks-Rangers-
1401021Canucks-Sabres-
1421037Canucks-Bruins-
1441050Canucks-RedWings-
1481079Avalanche-Canucks-
1501094Blackhawks-Canucks-
1521106Wild-Canucks-
1541124Penguins-Canucks-
1561129Canucks-Mammoth-
1571141Canucks-GoldenKnights-
1591153Capitals-Canucks-
1611168Bruins-Canucks-
1631182Canucks-Jets-
1651191Canucks-Penguins-
1681207Canucks-Panthers-
1691227Canucks-Lightning-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711231Canucks-Hurricanes-
1741246Canucks-Flames-
1771270Flames-Canucks-


Charte de profondeur
Ailier gaucheCentreAilier droit
Jake Guentzel
Jake Guentzel
AGE:31
SK:96
EN:88
DU:98
PH:86
PA:80
SC:92
DF:75
Ryan Nugent-Hopkins
Ryan Nugent-Hopkins
AGE:32
SK:86
EN:86
DU:96
PH:71
PA:70
SC:71
DF:84
Jake Neighbours
Jake Neighbours
AGE:23
SK:85
EN:81
DU:99
PH:68
PA:64
SC:72
DF:67
Bradly Nadeau (R)
Bradly Nadeau
AGE:20
SK:93
EN:73
DU:63
PH:62
PA:53
SC:70
DF:50
Sean Farrell
Sean Farrell
AGE:24
SK:80
EN:76
DU:66
PH:52
PA:49
SC:54
DF:68
Jake Wise
Jake Wise
AGE:25
SK:78
EN:65
DU:55
PH:51
PA:48
SC:53
DF:70
Samuel Honzek (R)
Samuel Honzek
AGE:21
SK:81
EN:61
DU:51
PH:42
PA:41
SC:43
DF:63
Otto Stenberg (R)
Otto Stenberg
AGE:20
SK:90
EN:60
DU:50
PH:43
PA:46
SC:41
DF:65
Paul Ludwinski (R)
Paul Ludwinski
AGE:21
SK:87
EN:74
DU:64
PH:33
PA:26
SC:39
DF:54
Julian Lutz (R)
Julian Lutz
AGE:21
SK:84
EN:60
DU:50
PH:36
PA:39
SC:33
DF:53
Jacob Melanson
Jacob Melanson
AGE:22
SK:75
EN:60
DU:50
PH:38
PA:30
SC:46
DF:57
Jamieson Rees
Jamieson Rees
AGE:24
SK:75
EN:60
DU:50
PH:39
PA:40
SC:38
DF:53
Roope Hintz
Roope Hintz
AGE:29
SK:88
EN:83
DU:95
PH:81
PA:82
SC:80
DF:77
Anze Kopitar
Anze Kopitar
AGE:38
SK:86
EN:86
DU:98
PH:79
PA:87
SC:71
DF:79
Anton Lundell
Anton Lundell
AGE:24
SK:84
EN:82
DU:97
PH:68
PA:69
SC:68
DF:85
Dylan Cozens
Dylan Cozens
AGE:24
SK:82
EN:83
DU:99
PH:69
PA:71
SC:66
DF:65
Cody Glass
Cody Glass
AGE:26
SK:78
EN:77
DU:87
PH:59
PA:60
SC:58
DF:76
Peyton Krebs
Peyton Krebs
AGE:24
SK:81
EN:78
DU:98
PH:59
PA:58
SC:60
DF:67
Alex Newhook
Alex Newhook
AGE:24
SK:80
EN:80
DU:99
PH:58
PA:51
SC:65
DF:63
Adam Edstrom
Adam Edstrom
AGE:25
SK:75
EN:70
DU:78
PH:52
PA:46
SC:58
DF:65
Philipp Kurashev
Philipp Kurashev
AGE:26
SK:79
EN:77
DU:78
PH:56
PA:51
SC:61
DF:64
Ryan Suzuki
Ryan Suzuki
AGE:24
SK:81
EN:78
DU:68
PH:60
PA:70
SC:44
DF:50
Gabriel Vilardi
Gabriel Vilardi
AGE:26
SK:87
EN:85
DU:92
PH:80
PA:79
SC:81
DF:71
Troy Terry
Troy Terry
AGE:28
SK:88
EN:86
DU:96
PH:74
PA:76
SC:72
DF:69
Alexander Laferriere
Alexander Laferriere
AGE:24
SK:83
EN:82
DU:96
PH:67
PA:64
SC:70
DF:71
Luke Evangelista
Luke Evangelista
AGE:23
SK:84
EN:78
DU:89
PH:64
PA:67
SC:62
DF:69
Sam Colangelo (R)
Sam Colangelo
AGE:24
SK:78
EN:75
DU:65
PH:60
PA:45
SC:76
DF:60

Défense #1Défense #2Gardien
Seth Jones
Seth Jones
AGE:31
SK:82
EN:91
DU:86
PH:71
PA:75
SC:68
DF:84
Mattias Ekholm
Mattias Ekholm
AGE:35
SK:80
EN:87
DU:87
PH:69
PA:70
SC:67
DF:92
Marcus Pettersson
Marcus Pettersson
AGE:29
SK:79
EN:86
DU:96
PH:61
PA:66
SC:56
DF:90
Jonas Brodin
Jonas Brodin
AGE:32
SK:81
EN:88
DU:77
PH:63
PA:66
SC:60
DF:89
Hampus Lindholm
Hampus Lindholm
AGE:31
SK:79
EN:84
DU:55
PH:66
PA:59
SC:72
DF:87
Conor Timmins
Conor Timmins
AGE:27
SK:75
EN:78
DU:89
PH:55
PA:54
SC:55
DF:76
Jack Thompson
Jack Thompson
AGE:23
SK:81
EN:76
DU:64
PH:61
PA:56
SC:66
DF:73
Isaiah George (R)
Isaiah George
AGE:21
SK:76
EN:76
DU:66
PH:52
PA:50
SC:54
DF:66
Ville Ottavainen
Ville Ottavainen
AGE:23
SK:75
EN:72
DU:67
PH:35
PA:34
SC:35
DF:67
William Villeneuve
William Villeneuve
AGE:23
SK:78
EN:59
DU:54
PH:56
PA:70
SC:39
DF:70
Domenick Fensore
Domenick Fensore
AGE:24
SK:77
EN:71
DU:66
PH:47
PA:48
SC:47
DF:70
Maksymilian Szuber
Maksymilian Szuber
AGE:23
SK:75
EN:69
DU:64
PH:47
PA:52
SC:43
DF:57
Jack Matier
Jack Matier
AGE:22
SK:75
EN:55
DU:50
PH:33
PA:32
SC:33
DF:65
William Wallinder
William Wallinder
AGE:23
SK:75
EN:66
DU:61
PH:38
PA:42
SC:34
DF:56
Joey Daccord
Joey Daccord
AGE:29
SK:92
AG:89
RB:83
SC:82
HS:87
RT:89
DF:87
Samuel Ersson
Samuel Ersson
AGE:26
SK:87
AG:72
RB:73
SC:72
HS:74
RT:72
DF:69
Dylan Garand
Dylan Garand
AGE:23
SK:77
AG:61
RB:60
SC:62
HS:61
RT:61
DF:61
Nikke Kokko (R)
Nikke Kokko
AGE:21
SK:75
AG:58
RB:56
SC:57
HS:60
RT:55
DF:56
Erik Portillo
Erik Portillo
AGE:25
SK:77
AG:50
RB:50
SC:50
HS:50
RT:50
DF: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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Aaron HuglenCanucks2033134
Aaron PionkCanucks2037185
Aiden CelebriniCanucks2037190
Alex PharandCanucks2037124
Alex YoungCanucks2034208
Alexander PerevalovCanucks203687
Andre GasseauCanucks2037216
Andrew MacNielCanucks2039183
Beckett HendricksonCanucks2037128
Benjamin BrinkmanCanucks2033207
Braden DoyleCanucks2033200
Brandon KruseCanucks2032143
Brandon SvobodaCanucks203792
Brett StapleyCanucks2033119
Bruno IdzanCanucks2039212
Carey TerranceCanucks203784
Carsen MusserCanucks2037159
Case MccarthyCanucks2033131
Cole BeaudoinCanucks203825
Connor McClennonCanucks2034158
Cooper SimpsonCanucks203926
Cruz LuciusCanucks2036102
David BedkowskiCanucks2039109
David KleeCanucks2037207
David TendeckCanucks2032205
Denis GabdrakhmanovCanucks2038216
Dmitri IsayevCanucks2039177
Emmett CroteauCanucks2036185
Ethan BowenCanucks2034214
Evan VierlingCanucks2034130
Francesco ArcuriCanucks2035214
Francesco Dell'elceCanucks2039119
Fyodor AvramovCanucks2038204
Gabriel D'AigleCanucks203963
Gracyn SawchynCanucks203769
Gustav BerglundCanucks2033210
Gustav KarlssonCanucks2036216
Harrison BlaisdellCanucks2033172
Ilya SafonovCanucks2035212
Jack PerbixCanucks2032145
Jacob InghamCanucks2034187
Jacob OlofssonCanucks203244
Jan ChovanCanucks2039214
Joni IkonenCanucks203128
Jordan CharronCanucks2039181
Kale HowarthCanucks2031121
Kasper KulonummiCanucks2036101
Kurban LimatovCanucks203957
Lane ZablockiCanucks203196
Lasse BoeliusCanucks203984
Liam GilmartinCanucks2035199
Lucas FeukCanucks2033142
Luke ProkopCanucks203494
Maceo PhillipsCanucks2039121
Malte VassCanucks2039117
Manix LandryCanucks2035167
Marshall WarrenCanucks2033186
Martin MisiakCanucks203785
Mason BeaupitCanucks2036123
Mason MoeCanucks203991
Matthew WoodCanucks203717
Max PsenickaCanucks203976
Maxon VigCanucks2039211
Michael CallowCanucks2036173
Michael FisherCanucks203692
Mikkel EriksenCanucks2039150
Milos RomanCanucks2032149
Nicholas PorcoCanucks2033179
Nick CampoliCanucks2031197
Noah BeckCanucks2034197
Noah ReadCanucks2039115
Owen AllardCanucks2038154
Patrick MoynihanCanucks2033181
Patrik PuistolaCanucks203362
Ryan O'ConnellCanucks2031181
Ryder RitchieCanucks203861
Sam StangeCanucks203487
Samuel SjolundCanucks2033140
Sasha MutalaCanucks2033177
Sigge HolmgrenCanucks2039208
Simon ForsmarkCanucks2036112
Stepan GorbunovCanucks2038185
Stepan HochCanucks2039120
Tanner HenricksCanucks2038123
Theodor HallquisthCanucks203980
Tinus Luc KoblarCanucks203988
Tomas HamaraCanucks2036107
Ty MurchisonCanucks2035189
Ty VoitCanucks2035183
Vinzenz RohrerCanucks203659
Vladislav LukashevichCanucks2035150
Vyacheslav ButeyetsCanucks2036211
Will MurphyCanucks2039202
William FrancisCanucks2033204
William McIsaacCanucks2038162
Wyatt SchingoetheCanucks2034203

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2040
2041
2042



Canucks 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
1Brad Marchand1203615758137339686522172636518911.85%3252539021.1118127345413095712771003136.58%261.082550
2Ryan Nugent-Hopkins1288466833129934342811572701395411.79%1832442418.96140301441114814528733349.73%91.061654
3Max Pacioretty9794365731009269108122771363386711.27%1682027120.71128233361103272948713335.88%131.001742
4Ryan O'Reilly7903185558732051013032302285811.13%2121655320.95100207307811951483441456.54%91.051445
5Andrei Zyuzin1846331515846-23127421382146300511.01%8972773315.026710016725813152859462950.79%30.611533

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
1Cam Ward340174122290.9092.85196223199321025420992010.746122
2Pekka Rinne15111526100.9082.5591006838641780700.73063
3Marc-Andre Fleury19711465130.8963.0611463228584561501450.80361
4Thatcher Demko1619455100.8953.01950316547745380700.73126
5Antero Niittymaki151795080.9023.12814514042443141789830.84238

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
Saison régulière
2017824324004923142823241181100471157149841251300021157133249031448079420080108117275208709688972710884132419932646223.48%2645379.92%131069210150.88%1042208849.90%744149049.93%168494419818471479719
20188238280624426323627412310032211401023841151803023123134-11902634256880305510098283008421020947266889087519242043014.71%1402681.43%11054209250.38%926192548.10%671136349.23%167795118087561491729
201982174602278199283-844192000255104143-39418260202395140-454019931351210040787225450820849857280693992218011992713.57%2064478.64%3899203744.13%924199246.39%514122042.13%169998018297651475703
202082284002633191232-4141162001211103118-154112200142288114-2666191288479110506967241307607938442630859119220152162210.19%2935481.57%5875196644.51%1006216246.53%495115442.89%163388818267871499714
2021824522025353022287441228014241541124241231401111148116329930253783913010310688287809359649592444701946190348310521.74%4086883.33%51671340449.09%1476302448.81%601130146.20%2021139319136191034516
20228236300127630026337411812012441641451941181800032136118187630053083013010810381292309689929252630768106017764249923.35%4318081.44%21688336250.21%1546316148.91%693138050.22%1955133119866311044514
20238236270736329524253411714050411441192541191302322151123288929551981414010011072293409239769862373737992189343510123.22%4097681.42%51727331052.18%1441286850.24%622126549.17%2033140119146191040521
20248249180524434924510441249022221721205241259030221771255212234961896703013810795286709589069682480665988179743510624.37%4169178.13%41696329151.53%1470294249.97%691138949.75%2046141918886151045530
202582512102251334223111413010000101731007341211102241161123381193345869202601191031052963010059639792347654891181046410021.55%3575784.03%01728331352.16%1432289749.43%669134649.70%2043141918846131032523
2026824723031533322478541231401021167126414124902132165121441143325829142201051191002995096599610182335688924173646410923.49%3898179.18%51748336951.88%1492286752.04%646135547.68%2070143518616071033522
2027825121023323422351074127901121180109714124120121116212636117342608950160146939831180107499310322278631785170748611724.07%3435883.09%91785342452.13%1384274550.42%715135452.81%2091146518236051036529
2030825518020253012109141334010121659768412214010131361132312330153083118010892973035099797610382256688875167647010422.13%3595385.24%31779341052.17%1356274649.38%680128452.96%2077143818336111048538
203182601400152349197152413240004117087834128100011117911069133349621970080126119993050010131028992223066085317404339622.17%3657280.27%21776329853.85%1484273154.34%689131352.48%2130150517996001026531
203282531403147327224103412740311516810662412610000321591184112832757690303010811993302809641053984230662698917454328720.14%3956384.05%31850340354.36%1532288253.16%743132256.20%2095145118366141048541
20338247230624033722810941221204120164124404125110212017310469116337605942240121106100293709549929652184623814175342510023.53%3396182.01%21802323355.74%1527273055.93%731133454.80%2185155517455851030540
2034824817013853122219141245012721671085941241200113145113321223125278391401121028926920872911876224861185516614367416.97%3617180.33%21701305655.66%1442275752.30%702132353.06%2181156017835931022528
203582392704552299250494121110332115411440411816012311451369103299521820030899610526580818850966235272091917384367717.66%3666981.15%51672302855.22%1427282250.57%669130451.30%2103149218505871009517
203682462902320336243934125130030017811167412116020201581322610333658291802012510110628710954953952237568483116724399120.73%3486780.75%01610303153.12%1340281947.53%712137551.78%2097149718265811015524
2037825317062223992281714131404110213100113412213021121861285812639970711062715312311511317911049731077392330669860178345712126.48%3687180.71%21769325854.30%1534279154.96%747138753.86%2109149418165901024528
203882562003111334216118412890211015597584128110100117911960122334600934011241031034276786995293616223768587916544148219.81%3535883.57%41583306351.68%1365271650.26%711138151.48%2118149717875871030532
2039159600000574611107300000433112523000001415-118571021590223151905121781631710420124166280862225.58%661281.82%132257056.49%28351455.06%12223651.69%37126133911118994
Total Saison régulière165590748505950896562724779149383047720603331513232352318917825430279026193833303724615762116627210857171291873300207420681697579472151187801936717240486391450618940360578102173221.38%6976128581.58%76318046101952.12%274295417950.63%135672687650.48%404282738437337129302265811404
Séries éliminatoires
2017624000002129-83210000010100303000001119-842133540005962090628066187457612313323.08%120100.00%18215453.25%7614851.35%4610245.10%12373211390010449
2018734000001922-332100000761413000001216-46193150100874277083939825571401459222.22%70100.00%011020154.73%7815450.65%5212242.62%146891556312457
2021161060000053512853000002728-185300000262332053881410101723134710166150155500147256357892325.84%871879.31%025959443.60%29362946.58%11224346.09%35924040512019595
20221064000003832653200000221935320000016133123869107000141483690121130110323109132248451226.67%53884.91%018140045.25%17539943.86%6016436.59%2281532567812660
20231810800000696639630000038308945000003136-520691241930202720176410221195196547170301425992525.25%972574.23%037574750.20%33067548.89%15931949.84%456310454148241119
2024116500000393276420000026179523000001315-21239701091001011183970110124151288101175246821518.29%531081.13%024347451.27%18537649.20%7718142.54%2751892598613769
20251477000004954-57430000025241734000002430-61449911400001815145130146160169486141172339691521.74%662266.67%028358948.05%27956549.38%11725046.80%35824935210918792
20262215700000896326117400000483810118300000412516308915924811022293574802202442616901952354711302720.77%1102478.18%040286246.64%38483745.88%18238047.89%543374534169286144
2027624000002021-130300000813-532100000128442037571009741830536455209527712328828.57%34585.29%011321353.05%13025750.58%4610444.23%13893159507837
20301911800000615831156000003840-2862000002318522611101710003216116800228214220628164260419981919.39%1041882.69%237373650.68%35972349.65%14130945.63%452310470147243120
203184400000272614220000016124422000001114-3827507711091262640809787199669116533721.21%401075.00%015829853.02%14024956.22%7513356.39%199138180569951
20322116500000845826118300000452916108200000392910328415023401025332274302462242486151982674681042221.15%1101685.45%248888255.33%41576054.61%18636451.10%529367508159263130
203317107000006353108530000030264954000003327620631131760002119216510180214212471126149363871820.69%651478.46%136569852.29%31960652.64%15228752.96%461330397129223113
203413670000037361734000001519-46330000022175123766103110121311471013515014642711217426059610.17%681183.82%128554951.91%27655849.46%10419952.26%35424832610517486
203523121100000797631293000004530151138000003446-12247913921800031212374202412452307172252524761331511.28%1031882.52%150291255.04%40783748.63%18838448.96%608432528168282145
20362113800000736671183000004231111055000003135-4267312920200024252273102342542366482151894281182218.64%861286.05%245884254.39%36073748.85%17233950.74%526371489154255125
20372214800000916526128400000503317106400000413292891160251023136231846242266285536991902855071132219.47%1231984.55%449093452.46%45586652.54%19438450.52%574393574178296150
2038115600000343136420000019136514000001518-310346397018131213971341161182934910698248621422.58%45882.22%126045457.27%23042054.76%8717848.88%3082202658514372
Total Séries éliminatoires265152113000009468391071378552000005114189312867610000043542114304946168226286103933330923793333762908304127228238243332295811137127520.06%126323881.16%1554271053951.49%4891979649.93%2150444248.40%664545868434291534641722

Canucks 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
1Brad Marchand207991402394217839551394510.48%54463022.373253852582131313837.57%11.0300
2Ryan Nugent-Hopkins242671231908792155006719.99%37455818.84214162172011311745.69%10.8300
3Ryan O'Reilly1597011018028226548263810.97%77354022.271545601750441515554.85%11.0200
4Max Pacioretty14563711342013033519055411.37%13294620.3220305014200039634.62%00.9100
5Jake Guentzel1296267129378023123450212.35%15268820.84162036115404711536.75%20.9600

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
1Thatcher Demko44251540.8953.2126212014013370200.0000
2Pekka Rinne2920800.9002.75168342777720210.0000
3Cam Ward36191310.9063.032039411031095121010.0000
4Marc-Andre Fleury33181030.9033.031944219810130320.0000
5Devan Dubnyk2916850.8803.34169022947820010.0000