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Connexion

Canucks
GP: 34 | W: 15 | L: 16 | OTL: 3 | P: 33
GF: 94 | GA: 105 | PP%: 33.33% | PK%: 57.81%
DG: Travis Mayhew | Morale : 47 | Moyenne d’équipe : 58
Prochains matchs #535 vs Crunch

Centre de jeu
Canucks
15-16-3, 33pts
2
4 Admirals
14-15-4, 32pts
Team Stats
W1SéquenceW2
8-7-2Fiche domicile7-9-1
7-9-1Fiche domicile7-6-3
4-5-1Derniers 10 matchs3-5-2
2.76Buts par match 2.48
3.09Buts contre par match 3.12
33.33%Pourcentage en avantage numérique33.33%
57.81%Pourcentage en désavantage numérique63.44%
Wild
28-5-0, 56pts
2
5 Canucks
15-16-3, 33pts
Team Stats
L1SéquenceW1
14-3-0Fiche domicile8-7-2
14-2-0Fiche domicile7-9-1
7-3-0Derniers 10 matchs4-5-1
4.30Buts par match 2.76
2.45Buts contre par match 3.09
18.39%Pourcentage en avantage numérique33.33%
80.39%Pourcentage en désavantage numérique57.81%
Canucks
15-16-3, 33pts
Jour 43
Crunch
8-20-5, 21pts
Statistiques d’équipe
W1SéquenceL3
8-7-2Fiche domicile5-8-4
7-9-1Fiche visiteur3-12-1
4-5-110 derniers matchs4-6-0
2.76Buts par match 2.27
3.09Buts contre par match 2.27
33.33%Pourcentage en avantage numérique25.00%
57.81%Pourcentage en désavantage numérique73.47%
Canucks
15-16-3, 33pts
Jour 44
Wild
28-5-0, 56pts
Statistiques d’équipe
W1SéquenceL1
8-7-2Fiche domicile14-3-0
7-9-1Fiche visiteur14-2-0
4-5-110 derniers matchs7-3-0
2.76Buts par match 4.30
3.09Buts contre par match 4.30
33.33%Pourcentage en avantage numérique18.39%
57.81%Pourcentage en désavantage numérique80.39%
Comets
14-16-4, 32pts
Jour 45
Canucks
15-16-3, 33pts
Statistiques d’équipe
W1SéquenceW1
8-7-2Fiche domicile8-7-2
6-9-2Fiche visiteur7-9-1
3-6-110 derniers matchs4-5-1
2.03Buts par match 2.76
2.76Buts contre par match 2.76
20.59%Pourcentage en avantage numérique33.33%
69.79%Pourcentage en désavantage numérique57.81%
Meneurs d'équipe
Buts
Jonas Rondbjerg
20
Mason ShawPasses
Mason Shaw
25
Points
Jonas Rondbjerg
40
Plus/Moins
Amadeus Lombardi
9
Victoires
Olivier Rodrigue
14
Pourcentage d’arrêts
Matt Tomkins
0.87

Statistiques d’équipe
Buts pour
94
2.76 GFG
Tirs pour
613
18.03 Avg
Pourcentage en avantage numérique
33.3%
24 GF
Début de zone offensive
37.3%
Buts contre
105
3.09 GAA
Tirs contre
633
18.62 Avg
Pourcentage en désavantage numérique
57.8%%
27 GA
Début de la zone défensive
32.6%
Informations de l'équipe

Directeur généralTravis Mayhew
EntraîneurAaron Schneekloth
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,122
Billets de saison1,500


Informations de la formation

Équipe Pro21
Équipe Mineure32
Limite contact 53 / 100
Espoirs119


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
1Mason ShawXXX100.0064665766668187627560625757464559566102731,254,000$
2Garrett PilonX100.0072707568707883617663546151454559606102711,043,000$
3Amadeus LombardiX99.0072649268655147678164676364464564616102231,235,000$
4Jonas RondbjergXX98.0059419981755483623153596525565558646102621,256,000$
5Antonio StrangesX100.006860856961707265506364606046456359610241893,333$
6Linus Karlsson (R)XX100.007743926866577067316166602547486433600261925,000$
7Roby JarventieXX100.008477998178363159757144674245455859590233850,000$
8Chase De LeoX100.0077699864695859585054586254454560535803011,314,000$
9Marcel MarcelXXX100.0083896865905860516548506348464554575702231,284,000$
10Shane Bowers (R)XX100.007570886970778451645046604447465456570261940,000$
11Josh LopinaX100.0077739064747379486146456044464554545602531,332,000$
12Brendan WarrenX100.0076709065705252545047566353444458215502812,999,000$
13MacKenzie EntwistleXX100.0070736280733936526547535950444455215402611,237,000$
14William TrudeauX99.007775756576758349254143613946455156600231903,333$
15John LudvigX99.007877817177575953254941643849485250590251925,000$
16Casey FitzgeraldX100.0068666965667582512543455639464651565802911,318,000$
17Christian KyrouX100.0073629765635556522547426041464553545602231,269,000$
18Michael BenningX100.006762836763515057254950594845455656560242750,000$
19Wyatte WylieX100.0075708763705051472537416039444451215402621,059,000$
Rayé
MOYENNE D’ÉQUIPE99.74736784697160645649525261454646575058
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
1Matt Tomkins100.00554860815758565960619544445866580311775,000$
2Olivier Rodrigue (R)99.00505366594948475348503045454945500252979,000$
Rayé
MOYENNE D’ÉQUIPE99.5053516370535352565456634545545654
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Aaron Schneekloth40404040404040CAN4211,000,000$


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
1Jonas RondbjergCanucks (VAN)LW/RW34202040-5553157111324518.02%1072521.331071728491012233222.73%441711011.1013001342
2Mason ShawCanucks (VAN)C/LW/RW34122537-66620854480274915.00%1675622.251101113501013353153.85%391913000.9814022621
3Amadeus LombardiCanucks (VAN)C345162192045505413389.26%460817.881347410112280059.93%2821311000.6914000002
4Antonio StrangesCanucks (VAN)LW3471421-420714466232610.61%869820.541127410111101052.00%100159000.6012000212
5Garrett PilonCanucks (VAN)C348111972925414943132018.60%447013.8200000000001062.74%36568000.8101112023
6Casey FitzgeraldCanucks (VAN)D3451116-72757347309716.67%1581423.95448955011236000%0712000.3900010001
7Shane BowersCanucks (VAN)C/RW346713-102052262571424.00%352915.59268737000000060.26%7877000.4900000111
8Chase De LeoCanucks (VAN)LW297512-120030292561228.00%645715.761341151011191243.95%22324000.5300000111
9John LudvigCanucks (VAN)D343912-57440495627141211.11%4181624.02112234011115000%01420000.2900242011
10Linus KarlssonCanucks (VAN)C/RW22741102035284282516.67%734215.560224220000150041.86%43104000.6401000103
11William TrudeauCanucks (VAN)D345611-714060705332141815.63%4086925.58303851000026110%0214000.2500246002
12Christian KyrouCanucks (VAN)D3401010-2753044161170%2578223.01033141011146000%0014000.2600010000
13Roby JarventieCanucks (VAN)C/LW3444860035191391930.77%236110.6300000000011057.14%724000.4400000100
14Ondrej PavelCanucksC31167475331377814.29%13029.76000140110141053.57%5654000.4600100010
15Marcel MarcelCanucks (VAN)C/LW/RW34134-9181088353012223.33%654616.08000123000261054.55%1196000.1500002010
16Josh LopinaCanucks (VAN)C34011-72023185020%23319.7400000000030046.77%6244000.0600000001
17Brendan WarrenCanucks (VAN)LW310110010100100.00%031.260000000000000%000005.3100000000
18Roni HirvonenCanucksC31000000110000%050.180000000000000%00000000000000
19Michael BenningCanucks (VAN)D3400044012215130%945513.3900007000033000%04000000000000
20MacKenzie EntwistleCanucks (VAN)C/RW3000000000000%000.050000000000000%00000000000000
21Scott WalfordCanucksD31000-2008130010%32758.870000100003000%00000000000000
22Wyatte WylieCanucks (VAN)D3000100001000%0258.470000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne62992152244-4438717581364761320632815.01%2021017716.18244064894793691532013654.43%1310136145010.4841561315151420
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
1Olivier RodrigueCanucks (VAN)34141430.8392.9219330194584345130.58312340100
2Matt TomkinsCanucks (VAN)41200.8702.861260064623101.0004034000
Statistiques d’équipe totales ou en moyenne38151630.8412.9120590110063036823163434100


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Amadeus LombardiCanucks (VAN)C222003-06-05ONTNo178 Lbs5 ft11NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,235,000$771,875$0$0$No1,235,000$1,235,000$-------1,235,000$1,235,000$-------NoNo-------Lien
Antonio StrangesCanucks (VAN)LW242002-02-05USANo168 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm893,333$558,333$0$0$No---------------------------Lien
Brendan WarrenCanucks (VAN)LW281997-05-07USANo194 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,874,375$0$0$No---------------------------Lien
Casey FitzgeraldCanucks (VAN)D291997-02-25USANo181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,318,000$823,750$0$0$No---------------------------Lien
Chase De LeoCanucks (VAN)LW301995-10-25USANo195 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,314,000$821,250$0$0$No---------------------------Lien / Lien NHL
Christian KyrouCanucks (VAN)D222003-09-16CANNo170 Lbs5 ft10NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,269,000$793,125$0$0$No1,269,000$1,269,000$-------1,269,000$1,269,000$-------NoNo-------Lien
Garrett PilonCanucks (VAN)C271998-04-13USANo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,043,000$651,875$0$0$No---------------------------Lien / Lien NHL
John LudvigCanucks (VAN)D252000-08-02CZENo210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$578,125$0$0$No---------------------------Lien
Jonas RondbjergCanucks (VAN)LW/RW261999-03-31DENNo204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,256,000$785,000$0$0$No1,256,000$--------1,256,000$--------No--------Lien
Josh LopinaCanucks (VAN)C252001-02-16USANo199 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,332,000$832,500$0$0$No1,332,000$1,332,000$-------1,332,000$1,332,000$-------NoNo-------Lien
Linus KarlssonCanucks (VAN)C/RW261999-11-16SWEYes178 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$578,125$0$0$No---------------------------Lien
MacKenzie EntwistleCanucks (VAN)C/RW261999-07-14CANNo193 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,237,000$773,125$0$0$No---------------------------Lien
Marcel MarcelCanucks (VAN)C/LW/RW222003-10-31CZENo243 Lbs6 ft4NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,284,000$802,500$0$0$No1,284,000$1,284,000$-------1,284,000$1,284,000$-------NoNo-------Lien
Mason ShawCanucks (VAN)C/LW/RW271998-11-03CANNo186 Lbs5 ft10NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,254,000$783,750$0$0$No1,254,000$1,254,000$-------1,254,000$1,254,000$-------NoNo-------Lien / Lien NHL
Matt TomkinsCanucks (VAN)G311994-06-19ABNo192 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm775,000$484,375$0$0$No---------------------------Lien
Michael BenningCanucks (VAN)D242002-01-05ABNo177 Lbs5 ft9NoNoProspectNoNo22024-09-17FalseFalsePro & Farm750,000$468,750$0$0$No750,000$--------750,000$--------No--------Lien
Olivier RodrigueCanucks (VAN)G252000-07-06CANYes158 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm979,000$611,875$0$0$No979,000$--------979,000$--------No--------Lien
Roby JarventieCanucks (VAN)C/LW232002-08-08FINNo209 Lbs6 ft3NoNoN/ANoNo32025-11-17FalseFalsePro & Farm850,000$531,250$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Shane BowersCanucks (VAN)C/RW261999-07-30CANYes186 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm940,000$587,500$0$0$No---------------------------Lien
William TrudeauCanucks (VAN)D232002-10-11CANNo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm903,333$564,583$0$0$No---------------------------Lien
Wyatte WylieCanucks (VAN)D261999-11-02USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,059,000$661,875$0$0$No1,059,000$--------1,059,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2125.57191 Lbs6 ft11.761,168,603$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason ShawGarrett PilonJonas Rondbjerg40122
2Antonio StrangesAmadeus LombardiRoby Jarventie30122
3Shane BowersAntonio StrangesMarcel Marcel20122
4Antonio StrangesJosh LopinaAmadeus Lombardi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John LudvigWilliam Trudeau40122
2Casey FitzgeraldChristian Kyrou30122
3William TrudeauJohn Ludvig20122
4William TrudeauCasey Fitzgerald10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason ShawShane BowersJonas Rondbjerg60122
2Amadeus LombardiAntonio StrangesMarcel Marcel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldWilliam Trudeau60122
2John LudvigChristian Kyrou40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Amadeus LombardiMason Shaw60122
2Shane BowersAntonio Stranges40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian KyrouCasey Fitzgerald60122
2William TrudeauMichael Benning40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mason Shaw60122John LudvigCasey Fitzgerald60122
2Josh Lopina40122Christian KyrouWilliam Trudeau40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Antonio StrangesMason Shaw60122
2Shane BowersMarcel Marcel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William TrudeauJohn Ludvig60122
2Casey FitzgeraldChristian Kyrou40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason ShawAntonio StrangesJonas RondbjergWilliam TrudeauCasey Fitzgerald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason ShawAntonio StrangesJonas RondbjergWilliam TrudeauCasey Fitzgerald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, Antonio Stranges, Amadeus LombardiMason Shaw, Antonio StrangesAntonio Stranges
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Casey Fitzgerald, William Trudeau, Christian KyrouCasey FitzgeraldWilliam Trudeau, Casey Fitzgerald
Tirs de pénalité
Mason Shaw, Amadeus Lombardi, Marcel Marcel, Shane Bowers, Antonio Stranges
Gardien
#1 : Olivier Rodrigue, #2 : Matt Tomkins


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
1Admirals2020000037-41010000013-21010000024-200.000369101534416331212012852132623554125.00%4325.00%025848253.53%23242155.11%22339057.18%589221617382855411
2Barracuda210000014311000000112-11100000031230.750471100153441637121201285211879538112.50%2150.00%025848253.53%23242155.11%22339057.18%589221617382855411
3Bruins3120000069-33120000069-30000000000020.3336101600153441642121201285214475554100.00%5340.00%125848253.53%23242155.11%22339057.18%589221617382855411
4Condors42100010963100000104313210000053260.750914230115344166612120128521722423819333.33%4175.00%025848253.53%23242155.11%22339057.18%589221617382855411
5Crunch2000010135-21000010023-11000000112-120.500358001534416411212012852113119486233.33%2150.00%025848253.53%23242155.11%22339057.18%589221617382855411
6Griffins11000000761000000000001100000076121.000710170015344162112120128521186162711100.00%3233.33%125848253.53%23242155.11%22339057.18%589221617382855411
7Gulls1010000013-21010000013-20000000000000.00012300153441614121201285212155303133.33%000%025848253.53%23242155.11%22339057.18%589221617382855411
8IceHogs11000000532000000000001100000053221.000510150015344162012120128521102103133100.00%000%025848253.53%23242155.11%22339057.18%589221617382855411
9Marlies1010000013-21010000013-20000000000000.00011200153441616121201285212011636100.00%3166.67%025848253.53%23242155.11%22339057.18%589221617382855411
10Monsters21001000633110000004221000100021141.0006814001534416261212012852123939605240.00%20100.00%025848253.53%23242155.11%22339057.18%589221617382855411
11Penguins21100000910-1110000005411010000046-220.500914230015344164412120128521341234542150.00%7614.29%125848253.53%23242155.11%22339057.18%589221617382855411
12Roadrunners10000010651100000106510000000000021.00067130015344162412120128521391521202150.00%3166.67%025848253.53%23242155.11%22339057.18%589221617382855411
13Rocket2010100034-1000000000002010100034-120.50035810153441632121201285213614313311100.00%6266.67%025848253.53%23242155.11%22339057.18%589221617382855411
14Silver Knights3120000068-22110000056-11010000012-120.333691500153441668121201285215414617813323.08%8450.00%025848253.53%23242155.11%22339057.18%589221617382855411
15Stars1010000067-1000000000001010000067-100.00061117001534416261212012852137122272150.00%10100.00%025848253.53%23242155.11%22339057.18%589221617382855411
16Wild2110000089-1110000005231010000037-420.50081321001534416391212012852187242531100.00%5180.00%025848253.53%23242155.11%22339057.18%589221617382855411
17Wolf Pack413000001114-3211000006512020000059-420.25011203110153441664121201285217523189510330.00%9188.89%025848253.53%23242155.11%22339057.18%589221617382855411
Total3411160212294105-111767001214750-31759020014755-8330.4859415224631153441661312120128521633202387813722433.33%642757.81%325848253.53%23242155.11%22339057.18%589221617382855411
_Since Last GM Reset3411160212294105-111767001214750-31759020014755-8330.4859415224631153441661312120128521633202387813722433.33%642757.81%325848253.53%23242155.11%22339057.18%589221617382855411
_Vs Conference26911021126267-51355001113435-11346020012832-4270.5196210316521153441644912120128521453140285594601931.67%431467.44%125848253.53%23242155.11%22339057.18%589221617382855411
_Vs Division106100011120200545001101114-352500001963160.80020325201153441618512120128521165509824233824.24%14657.14%025848253.53%23242155.11%22339057.18%589221617382855411

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3433W19415224661363320238781331
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
341116212294105
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
176701214750
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
175920014755
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
722433.33%642757.81%3
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
121201285211534416
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
25848253.53%23242155.11%22339057.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
589221617382855411


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
11Canucks4Condors2WSommaire du match
218Canucks4Wolf Pack6LSommaire du match
332Gulls3Canucks1LSommaire du match
549Wolf Pack2Canucks5WSommaire du match
768Bruins6Canucks2LSommaire du match
887Canucks3Wild7LSommaire du match
9101Crunch3Canucks2LXSommaire du match
10108Canucks1Silver Knights2LSommaire du match
11130Roadrunners5Canucks6WXXSommaire du match
13144Canucks2Rocket1WXSommaire du match
14164Bruins1Canucks4WSommaire du match
15179Canucks1Crunch2LXXSommaire du match
16193Silver Knights5Canucks2LSommaire du match
17206Canucks0Condors1LSommaire du match
18222Condors3Canucks4WXXSommaire du match
20238Canucks1Wolf Pack3LSommaire du match
21253Wolf Pack3Canucks1LSommaire du match
23271Canucks2Monsters1WXSommaire du match
24278Canucks1Rocket3LSommaire du match
25296Canucks5IceHogs3WSommaire du match
26306Bruins2Canucks0LSommaire du match
28328Canucks1Condors0WSommaire du match
29335Monsters2Canucks4WSommaire du match
30354Canucks7Griffins6WSommaire du match
31368Admirals3Canucks1LSommaire du match
32389Silver Knights1Canucks3WSommaire du match
34410Canucks6Stars7LSommaire du match
35423Barracuda2Canucks1LXXSommaire du match
36436Canucks4Penguins6LSommaire du match
37455Canucks3Barracuda1WSommaire du match
38461Marlies3Canucks1LSommaire du match
40484Penguins4Canucks5WSommaire du match
41503Canucks2Admirals4LSommaire du match
42514Wild2Canucks5WSommaire du match
43535Canucks-Crunch-
44544Canucks-Wild-
45558Comets-Canucks-
46575Senators-Canucks-
47589Canucks-Heat-
48607Canucks-Americans-
49618Eagles-Canucks-
50636Canucks-Checkers-
51647IceHogs-Canucks-
52663Canucks-Moose-
53676Heat-Canucks-
54700Stars-Canucks-
55711Canucks-Wolf Pack-
57734Rocket-Canucks-
58741Canucks-Roadrunners-
59759Canucks-Marlies-
60768Wolves-Canucks-
62788Canucks-Wild-
63802Wild-Canucks-
65821Islanders-Canucks-
66837Canucks-Eagles-
67849Canucks-Senators-
68862Griffins-Canucks-
70881Canucks-Phantoms-
71892Phantoms-Canucks-
72907Canucks-Wolves-
74923Wolf Pack-Canucks-
75944Reign-Canucks-
77958Canucks-Reign-
78973Canucks-Thunderbirds-
79984Thunderbirds-Canucks-
811006Bears-Canucks-
821014Canucks-Islanders-
841041Americans-Canucks-
851053Canucks-Bruins-
861072Canucks-Comets-
871080Gulls-Canucks-
881092Canucks-Silver Knights-
901109Moose-Canucks-
911130Wolves-Canucks-
921143Canucks-Bears-
931147Canucks-Bruins-
941164Canucks-Silver Knights-
951176Moose-Canucks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971198Canucks-Gulls-
981207Gulls-Canucks-
1001228Canucks-Gulls-
1011238Crunch-Canucks-
1041266Canucks-Comets-
1051275Crunch-Canucks-
1071298Checkers-Canucks-
1101325Condors-Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance23,38712,681
Assistance PCT68.79%74.59%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 2122 - 70.72% 88,415$1,503,055$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,308,579$ 2,454,066$ 2,454,066$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
21,911$ 933,561$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,298,790$ 70 30,840$ 2,158,800$




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