Connexion

Canucks
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Patrick.johnson.86 | Morale : 40 | Moyenne d’équipe : 58
Prochain matchs #10 vs Condors
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Canucks
0-0-0, 0pts
2022-09-14
Condors
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Canucks
0-0-0, 0pts
2022-09-17
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Canucks
0-0-0, 0pts
2022-09-19
Bears
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
0.00 GFG
Tirs pour
0
0.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
0.0%
Buts contre
0
0.00 GAA
Tirs contre
0
0.00 Avg
Pourcentage en désavantage numérique
0.0%
0 GA
Début de la zone défensive
0.0%
Information d’équipe

Directeur généralPatrick.johnson.86
EntraîneurTrent Yawney
DivisionPacific Division
ConférenceWestern Conference
CapitaineJohn McCarron
Assistant #1Paul Thompson
Assistant #2Matt Berry


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Information formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 90
Espoirs27


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique70-76-18 (0.427%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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 moyen
1Cooper Marody0XX100.00504175628060466860716556635665040590251925,000$
2Egor Sokolov (R)0XX100.00835175539060556140666260615263040580222800,000$
3Turner Elson0XX100.00814375588160575960646258615970040580301750,000$
4Jesper Froden (R)0X100.00734076617860476040646360625161040580281750,000$
5Tyler Benson0X100.008143795981654855466259616057670405702411,000,000$
6Brayden Burke0X100.00503675627560246040675962605564040560251950,000$
7Matt Berry (A)0XXX100.00504075577860415640635962606672040560301750,000$
8John McCarron (C)0XXX100.00505075498960475340615862597779040560301750,000$
9Tyler Spezia0X100.00503975597760525760645962605262040560291750,000$
10Josh Dickinson0XXX100.00504375558260475360615862595866040550241750,069$
11Paul Thompson (A)0XXX100.00505675528560205540625962607077040550331750,000$
12Aaron Luchuk0XXX100.00504175567960245560625962605464040540251750,000$
13Nic Hague0X100.007253875794826770206665776354640406602333,000,000$
14Nicolas Meloche0X100.00995384588775646320616074605568040650251900,000$
15Braden Schneider (R)0X100.00785185598568616920665970605564040630213925,000$
16Thomas Harley (R)0X100.00665182558664546520645767595262040600212850,000$
17Vladislav Kolyachonok (R)0X100.00754382588264566120635869595161040600212750,000$
18Zac Leslie0X100.00504675578060426920655968606371040590281950,000$
Rayé
1Blade Jenkins (R)0X100.00505075528460285340605962605161040540222750,000$
2Maxime Lajoie0X100.00574476568360527120675964605867040590241900,000$
3Josh Jacobs0X100.00505075498960296720636068605968040570261950,000$
4Brandon Hickey0X100.00504675508660106520615768595161040550261850,000$
5Macoy Erkamps0X100.00505475538260106620635668585666040550271750,000$
MOYENNE D’ÉQUIPE100.0062467756836343613664606560576604058
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 SP
1Jack LaFontaine (R)100.0056646187616060616157607078040630
2Garret Sparks100.0055636087605960606056597872040620
Rayé
1Olivier Rodrigue (R)100.0046605784505048515047496667040540
MOYENNE D’ÉQUIPE100.005262598657565657575356717204060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Trent Yawney75757575757575CAN578500,000$


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
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


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 moyenSalaire moyen restantPlafond 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
Aaron LuchukCanucks (VAN)C/LW/RW254/5/1997No185 Lbs5 ft10NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Blade JenkinsCanucks (VAN)LW228/11/2000Yes200 Lbs6 ft1NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Braden SchneiderCanucks (VAN)D219/20/2001Yes202 Lbs6 ft2NoNoNo3Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$925,000$Lien
Brandon HickeyCanucks (VAN)D264/13/1996No205 Lbs6 ft2NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Brayden BurkeCanucks (VAN)LW251/1/1997No165 Lbs5 ft10NoNoNo1Pro & Farm950,000$939,947$950,000$939,947$0$0$NoLien
Cooper MarodyCanucks (VAN)C/RW2512/20/1996No184 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Egor SokolovCanucks (VAN)LW/RW226/7/2000Yes222 Lbs6 ft3NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Garret SparksCanucks (VAN)G297/1/1993No201 Lbs6 ft3NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Jack LaFontaineCanucks (VAN)G241/6/1998Yes209 Lbs6 ft3NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Jesper FrodenCanucks (VAN)RW289/21/1994Yes179 Lbs5 ft10NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
John McCarronCanucks (VAN)C/LW/RW304/16/1992No218 Lbs6 ft3NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Josh DickinsonCanucks (VAN)C/LW/RW2411/17/1997No190 Lbs6 ft2NoNoNo1Pro & Farm750,069$742,132$750,069$742,132$0$0$NoLien
Josh JacobsCanucks (VAN)D262/15/1996No220 Lbs6 ft2NoNoNo1Pro & Farm950,000$939,947$950,000$939,947$0$0$NoLien
Macoy ErkampsCanucks (VAN)D272/2/1995No196 Lbs6 ft0NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Matt BerryCanucks (VAN)C/LW/RW308/18/1992No180 Lbs5 ft10NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Maxime LajoieCanucks (VAN)D2411/5/1997No196 Lbs6 ft1NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLien
Nic Hague (contrat à 1 volet)Canucks (VAN)D2312/5/1998No230 Lbs6 ft6NoNoNo3Pro & Farm3,000,000$2,968,254$3,000,000$2,968,254$1,875,000$1,855,159$No3,000,000$3,000,000$Lien
Nicolas MelocheCanucks (VAN)D257/18/1997No211 Lbs6 ft3NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLien
Olivier RodrigueCanucks (VAN)G227/1/2000Yes170 Lbs6 ft1NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Paul ThompsonCanucks (VAN)C/LW/RW3311/30/1988No204 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Thomas HarleyCanucks (VAN)D218/19/2001Yes205 Lbs6 ft3NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Turner ElsonCanucks (VAN)C/LW309/13/1992No191 Lbs6 ft0NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Tyler BensonCanucks (VAN)LW243/15/1998No190 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Tyler SpeziaCanucks (VAN)C296/7/1993No175 Lbs5 ft10NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Vladislav KolyachonokCanucks (VAN)D215/26/2001Yes193 Lbs6 ft1NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Zac LeslieCanucks (VAN)D281/31/1994No185 Lbs6 ft0NoNoNo1Pro & Farm950,000$939,947$950,000$939,947$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.54196 Lbs6 ft11.38913,464$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Turner ElsonCooper MarodyJesper Froden40122
2Tyler BensonTyler SpeziaEgor Sokolov30122
3Brayden BurkeMatt BerryJohn McCarron20122
4Paul ThompsonJosh DickinsonAaron Luchuk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nic HagueNicolas Meloche40122
2Braden SchneiderThomas Harley30122
3Vladislav KolyachonokZac Leslie20122
4Nic HagueNicolas Meloche10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Turner ElsonCooper MarodyJesper Froden60122
2Tyler BensonTyler SpeziaEgor Sokolov40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nic HagueNicolas Meloche60122
2Braden SchneiderThomas Harley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cooper MarodyTurner Elson60122
2Jesper FrodenTyler Benson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nic HagueNicolas Meloche60122
2Braden SchneiderThomas Harley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cooper Marody60122Nic HagueNicolas Meloche60122
2Turner Elson40122Braden SchneiderThomas Harley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cooper MarodyTurner Elson60122
2Jesper FrodenTyler Benson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nic HagueNicolas Meloche60122
2Braden SchneiderThomas Harley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Turner ElsonCooper MarodyJesper FrodenNic HagueNicolas Meloche
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Turner ElsonCooper MarodyJesper FrodenNic HagueNicolas Meloche
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brayden Burke, Matt Berry, John McCarronBrayden Burke, Matt BerryJohn McCarron
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vladislav Kolyachonok, Zac Leslie, Braden SchneiderVladislav KolyachonokZac Leslie, Braden Schneider
Tirs de pénalité
Cooper Marody, Turner Elson, Jesper Froden, Tyler Benson, Egor Sokolov
Gardien
#1 : Jack LaFontaine, #2 : Garret Sparks
Lignes d’attaque personnalisées en prolongation
Cooper Marody, Turner Elson, Jesper Froden, Tyler Benson, Egor Sokolov, Brayden Burke, Brayden Burke, Tyler Spezia, Matt Berry, John McCarron, Josh Dickinson
Lignes de défense personnalisées en prolongation
Nic Hague, Nicolas Meloche, Braden Schneider, Thomas Harley, Vladislav Kolyachonok


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
6 - 2022-09-1410Canucks-Condors-
9 - 2022-09-1726Canucks-Phantoms-
11 - 2022-09-1943Canucks-Bears-
12 - 2022-09-2050Canucks-Monsters-
14 - 2022-09-2267Canucks-Wild-
16 - 2022-09-2484Americans-Canucks-
18 - 2022-09-2697Wolves-Canucks-
21 - 2022-09-29118Canucks-Firebirds-
22 - 2022-09-30125Penguins-Canucks-
26 - 2022-10-04157Comets-Canucks-
28 - 2022-10-06171Gulls-Canucks-
30 - 2022-10-08186Admirals-Canucks-
33 - 2022-10-11200Canucks-Senators-
34 - 2022-10-12209Canucks-Rocket-
37 - 2022-10-15230Canucks-Marlies-
38 - 2022-10-16241Canucks-Bruins-
40 - 2022-10-18252Canucks-Americans-
43 - 2022-10-21273Reign-Canucks-
46 - 2022-10-24300Silver Knights-Canucks-
48 - 2022-10-26317Canucks-Eagles-
51 - 2022-10-29340Canucks-Silver Knights-
52 - 2022-10-30344Canucks-Barracuda-
54 - 2022-11-01359Bears-Canucks-
56 - 2022-11-03373Checkers-Canucks-
58 - 2022-11-05388Roadrunners-Canucks-
60 - 2022-11-07402Rocket-Canucks-
62 - 2022-11-09418Canucks-Barracuda-
65 - 2022-11-12441Wild-Canucks-
69 - 2022-11-16468Canucks-Heat-
72 - 2022-11-19495Moose-Canucks-
74 - 2022-11-21509Thunderbirds-Canucks-
77 - 2022-11-24530Firebirds-Canucks-
78 - 2022-11-25542Canucks-Condors-
82 - 2022-11-29556Barracuda-Canucks-
84 - 2022-12-01570Canucks-Moose-
86 - 2022-12-03587Canucks-Heat-
89 - 2022-12-06607Islanders-Canucks-
91 - 2022-12-08619Eagles-Canucks-
94 - 2022-12-11638Canucks-Moose-
96 - 2022-12-13652Canucks-Penguins-
98 - 2022-12-15667Canucks-Crunch-
100 - 2022-12-17684Canucks-Checkers-
101 - 2022-12-18692Canucks-Wolves-
104 - 2022-12-21714Crunch-Canucks-
106 - 2022-12-23731Eagles-Canucks-
107 - 2022-12-24744Condors-Canucks-
110 - 2022-12-27765IceHogs-Canucks-
111 - 2022-12-28770Canucks-Firebirds-
113 - 2022-12-30787Monsters-Canucks-
123 - 2023-01-09810Canucks-Comets-
125 - 2023-01-11819Canucks-Wolf Pack-
126 - 2023-01-12826Canucks-Islanders-
128 - 2023-01-14832Canucks-Griffins-
130 - 2023-01-16853Griffins-Canucks-
132 - 2023-01-18869Wolf Pack-Canucks-
135 - 2023-01-21890Phantoms-Canucks-
138 - 2023-01-24914Canucks-Admirals-
140 - 2023-01-26926Canucks-Thunderbirds-
142 - 2023-01-28938Bruins-Canucks-
144 - 2023-01-30955Canucks-Stars-
147 - 2023-02-02981Wild-Canucks-
149 - 2023-02-04994Marlies-Canucks-
151 - 2023-02-061010Admirals-Canucks-
153 - 2023-02-081024Gulls-Canucks-
156 - 2023-02-111050Senators-Canucks-
159 - 2023-02-141073Stars-Canucks-
161 - 2023-02-161088Canucks-Roadrunners-
163 - 2023-02-181104Canucks-Reign-
164 - 2023-02-191114Canucks-Gulls-
166 - 2023-02-211132Silver Knights-Canucks-
168 - 2023-02-231145Barracuda-Canucks-
170 - 2023-02-251158Canucks-Stars-
171 - 2023-02-261168Canucks-IceHogs-
173 - 2023-02-281181Canucks-Thunderbirds-
176 - 2023-03-031202Heat-Canucks-
178 - 2023-03-051224Reign-Canucks-
180 - 2023-03-071238Firebirds-Canucks-
182 - 2023-03-091254IceHogs-Canucks-
184 - 2023-03-111270Heat-Canucks-
186 - 2023-03-131284Canucks-Reign-
187 - 2023-03-141294Canucks-Gulls-
189 - 2023-03-161311Canucks-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
21,958$ 2,075,007$ 2,075,007$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,979$ 21,958$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 10,979$ 2,053,073$




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
1182263807722136161-25411316055207784-7411322022025977-18791362333690820446310154933354464252226676622414571113834.23%1022971.57%3538118045.59%718166443.15%36782044.76%1405538162984719221009
1182263807722136161-25411316055207784-7411322022025977-18791362333690820446310154933354464252226676622414571113834.23%1022971.57%3538118045.59%718166443.15%36782044.76%1405538162984719221009
Total Saison régulière16452760141444272322-508226320101040154168-1482264404404118154-361582724667380164088126203098666108812841044532153244829142227634.23%2045871.57%61076236045.59%1436332843.15%734164044.76%281110773258169538452019