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Connexion

Canucks
GP: 15 | W: 6 | L: 7 | OTL: 2 | P: 14
GF: 41 | GA: 49 | PP%: 31.43% | PK%: 56.52%
DG: Travis Mayhew | Morale : 48 | Moyenne d’équipe : 58
Prochains matchs #238 vs Wolf Pack

Centre de jeu
Canucks
6-7-2, 14pts
0
1 Condors
9-4-2, 20pts
Team Stats
W1SéquenceSOL1
4-3-1Fiche domicile4-3-0
2-4-1Fiche domicile5-1-2
4-4-2Derniers 10 matchs6-3-1
2.73Buts par match 3.80
3.27Buts contre par match 2.53
31.43%Pourcentage en avantage numérique24.32%
56.52%Pourcentage en désavantage numérique75.51%
Condors
9-4-2, 20pts
3
4 Canucks
6-7-2, 14pts
Team Stats
SOL1SéquenceW1
4-3-0Fiche domicile4-3-1
5-1-2Fiche domicile2-4-1
6-3-1Derniers 10 matchs4-4-2
3.80Buts par match 2.73
2.53Buts contre par match 3.27
24.32%Pourcentage en avantage numérique31.43%
75.51%Pourcentage en désavantage numérique56.52%
Canucks
6-7-2, 14pts
Jour 20
Wolf Pack
7-8-0, 14pts
Statistiques d’équipe
W1SéquenceL1
4-3-1Fiche domicile3-4-0
2-4-1Fiche visiteur4-4-0
4-4-210 derniers matchs4-6-0
2.73Buts par match 2.60
3.27Buts contre par match 2.60
31.43%Pourcentage en avantage numérique25.00%
56.52%Pourcentage en désavantage numérique80.00%
Wolf Pack
7-8-0, 14pts
Jour 21
Canucks
6-7-2, 14pts
Statistiques d’équipe
L1SéquenceW1
3-4-0Fiche domicile4-3-1
4-4-0Fiche visiteur2-4-1
4-6-010 derniers matchs4-4-2
2.60Buts par match 2.73
3.73Buts contre par match 2.73
25.00%Pourcentage en avantage numérique31.43%
80.00%Pourcentage en désavantage numérique56.52%
Canucks
6-7-2, 14pts
Jour 23
Monsters
6-5-3, 15pts
Statistiques d’équipe
W1SéquenceL1
4-3-1Fiche domicile2-3-2
2-4-1Fiche visiteur4-2-1
4-4-210 derniers matchs5-4-1
2.73Buts par match 1.71
3.27Buts contre par match 1.71
31.43%Pourcentage en avantage numérique24.00%
56.52%Pourcentage en désavantage numérique69.70%
Meneurs d'équipe
Buts
Jonas Rondbjerg
12
Mason ShawPasses
Mason Shaw
11
Points
Jonas Rondbjerg
19
Garrett PilonPlus/Moins
Garrett Pilon
3
Victoires
Olivier Rodrigue
5
Pourcentage d’arrêts
Matt Tomkins
0.882

Statistiques d’équipe
Buts pour
41
2.73 GFG
Tirs pour
282
18.80 Avg
Pourcentage en avantage numérique
31.4%
11 GF
Début de zone offensive
37.6%
Buts contre
49
3.27 GAA
Tirs contre
314
20.93 Avg
Pourcentage en désavantage numérique
56.5%%
10 GA
Début de la zone défensive
33.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,115
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
1Garrett PilonX100.0072707568707883617663536151454560516102711,043,000$
2Jonas RondbjergXX96.0059419981755483613151586525555559586102621,256,000$
3Antonio StrangesX100.006760846961707265506263606045456452610231893,333$
4Mason ShawXXX99.0064665766668187617558615857454560506002731,254,000$
5Amadeus LombardiX100.0072649168655147678163686364454565536002231,235,000$
6Roby JarventieXX100.008377998178363159757143674245455851590233850,000$
7Chase De LeoX100.0077699764695859585054586254454560465803011,314,000$
8Marcel MarcelXXX100.0082896765905860526548506448454555525702231,284,000$
9Shane Bowers (R)XX100.007570876970778451645046614446465551570261940,000$
10Josh LopinaX100.0078739064747379486146456144454555515602431,332,000$
11Ondrej PavelX100.0076796965795252526650506148454555555502512,999,000$
12Roni HirvonenX100.0070638665635252556949566053444458515502431,337,000$
13William TrudeauX99.007775766576758349254042613945455254590231903,333$
14John LudvigX100.007877817177575952254841643848485350590251925,000$
15Casey FitzgeraldX100.0067666965667582502543435639454652485702811,318,000$
16Christian KyrouX100.0073629765635556522546436041454554515602231,269,000$
17Michael BenningX100.006862826763515058254951594845455651560242750,000$
18Scott Walford (R)X100.0081759562754849452535396237454550515502731,341,000$
Rayé
1Linus Karlsson (R)XX93.987743916866577067316266612547486443610261925,000$
MOYENNE D’ÉQUIPE99.37736784687161655650525161454646575158
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 Tomkins100.00554860815759565960619544445858580311775,000$
2Olivier Rodrigue (R)100.00505366594949485349503045455041510252979,000$
Rayé
MOYENNE D’ÉQUIPE100.0053516370535452565556634545545055
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/RW1512719-255132251161823.53%631621.095381024000182225.00%1657001.2012001212
2Mason ShawCanucks (VAN)C/LW/RW155111603410312233133015.15%433022.051344241011141154.55%22108000.9713011210
3Linus KarlssonCanucks (VAN)C/RW157411-12026254282516.67%730620.460224220000150041.86%4394000.7201000103
4Antonio StrangesCanucks (VAN)LW15279-3003216341075.88%230320.22000221000010045.71%3573000.5912000101
5Chase De LeoCanucks (VAN)LW10347-15001217144921.43%422522.54134113000050143.64%22002000.6200000011
6Amadeus LombardiCanucks (VAN)C152570202119253188.00%125416.95101421000000064.04%11453000.5513000001
7Christian KyrouCanucks (VAN)D15066-60013158640%1635023.37011121011016000%008000.3400000000
8John LudvigCanucks (VAN)D15246-22151525117318.18%1836624.4210112000006000%065000.3300010010
9Casey FitzgeraldCanucks (VAN)D15156-8155281915256.67%935723.85134528011212000%004000.3400010000
10Garrett PilonCanucks (VAN)C1504437510137460%11197.9300000000000071.62%7421000.6701001001
11William TrudeauCanucks (VAN)D15224-3792528281461014.29%1238325.5410142700009010%008000.2100221000
12Shane BowersCanucks (VAN)C/RW15224-6202616121616.67%223815.92022412000000052.00%2524000.3300000001
13Ondrej PavelCanucks (VAN)C150331551971410%115610.4500002000050060.71%2832000.3800100000
14Josh LopinaCanucks (VAN)C15011-10012113010%117011.3400000000000048.15%2734000.1200000001
15Marcel MarcelCanucks (VAN)C/LW/RW15101-6953312104710.00%424316.2100004000021060.00%573000.0800001000
16Roni HirvonenCanucks (VAN)C15000000110000%030.250000000000000%00000000000000
17Michael BenningCanucks (VAN)D15000-1006110010%219613.0800000000012000%02000000000000
18Roby JarventieCanucks (VAN)C/LW15000-100452110%0634.250000000001000%01000000000000
19Scott WalfordCanucks (VAN)D15000000550000%21328.800000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne2803965104-51181653352892828915213.83%92451816.141117284024512341144552.22%6096266000.464123556411
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)155620.8433.208260044280169100.5569150000
2Matt TomkinsCanucks (VAN)31100.8822.70890043417101.0004015000
Statistiques d’équipe totales ou en moyenne186720.8473.15915004831418620131515000


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$1,036,518$0$0$No1,235,000$1,235,000$-------1,235,000$1,235,000$-------NoNo-------Lien
Antonio StrangesCanucks (VAN)LW232002-02-05USANo168 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm893,333$749,762$0$0$No---------------------------Lien
Casey FitzgeraldCanucks (VAN)D281997-02-25USANo181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,318,000$1,106,179$0$0$No---------------------------Lien
Chase De LeoCanucks (VAN)LW301995-10-25USANo195 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,314,000$1,102,821$0$0$No---------------------------Lien / Lien NHL
Christian KyrouCanucks (VAN)D222003-09-16CANNo170 Lbs5 ft10NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,269,000$1,065,054$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$875,375$0$0$No---------------------------Lien / Lien NHL
John LudvigCanucks (VAN)D252000-08-02CZENo210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$776,339$0$0$No---------------------------Lien
Jonas RondbjergCanucks (VAN)LW/RW261999-03-31DENNo204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,256,000$1,054,143$0$0$No1,256,000$--------1,256,000$--------No--------Lien
Josh LopinaCanucks (VAN)C242001-02-16USANo199 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,332,000$1,117,929$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$776,339$0$0$No---------------------------Lien
Marcel MarcelCanucks (VAN)C/LW/RW222003-10-31CZENo243 Lbs6 ft4NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,284,000$1,077,643$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$1,052,464$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$650,446$0$0$No---------------------------Lien
Michael BenningCanucks (VAN)D242002-01-05ABNo177 Lbs5 ft9NoNoProspectNoNo22024-09-17FalseFalsePro & Farm750,000$629,464$0$0$No750,000$--------750,000$--------No--------Lien
Olivier RodrigueCanucks (VAN)G252000-07-06CANYes158 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm979,000$821,661$0$0$No979,000$--------979,000$--------No--------Lien
Ondrej PavelCanucks (VAN)C252000-08-29CZENo218 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,517,018$0$0$No---------------------------Lien
Roby JarventieCanucks (VAN)C/LW232002-08-08FINNo209 Lbs6 ft3NoNoN/ANoNo32025-11-17FalseFalsePro & Farm850,000$713,393$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Roni HirvonenCanucks (VAN)C242002-01-10FINNo178 Lbs5 ft10NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,337,000$1,122,125$0$0$No1,337,000$1,337,000$-------1,337,000$1,337,000$-------NoNo-------Lien
Scott WalfordCanucks (VAN)D271999-01-12BCYes201 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,341,000$1,125,482$0$0$No1,341,000$1,341,000$-------1,341,000$1,341,000$-------NoNo-------Lien
Shane BowersCanucks (VAN)C/RW261999-07-30CANYes186 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm940,000$788,929$0$0$No---------------------------Lien
William TrudeauCanucks (VAN)D232002-10-11CANNo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm903,333$758,154$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2125.24192 Lbs6 ft01.901,186,794$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason ShawGarrett PilonJonas Rondbjerg40122
2Antonio StrangesAmadeus Lombardi30122
3Shane BowersAntonio StrangesMarcel Marcel20122
4Antonio StrangesJosh Lopina10122
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 Stranges40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldWilliam Trudeau60122
2John LudvigChristian Kyrou40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mason Shaw60122
2Jonas RondbjergAntonio 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
1Jonas RondbjergMason 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 ShawJonas RondbjergWilliam TrudeauCasey Fitzgerald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason ShawJonas RondbjergWilliam TrudeauCasey Fitzgerald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, , Jonas Rondbjerg, Antonio StrangesJonas Rondbjerg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Casey Fitzgerald, William Trudeau, Christian KyrouCasey FitzgeraldWilliam Trudeau, Casey Fitzgerald
Tirs de pénalité
Mason Shaw, Amadeus Lombardi, Jonas Rondbjerg, , 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
1Bruins2110000067-12110000067-10000000000020.50061016003171853240112127153325531100.00%5340.00%112022553.33%10719953.77%9117552.00%26197280168375183
2Condors31100010862100000104312110000043140.6678122000317185524011212715621623668225.00%4175.00%012022553.33%10719953.77%9117552.00%26197280168375183
3Crunch2000010135-21000010023-11000000112-120.5003580031718541401121271513119486233.33%2150.00%012022553.33%10719953.77%9117552.00%26197280168375183
4Gulls1010000013-21010000013-20000000000000.000123003171851440112127152155303133.33%000%012022553.33%10719953.77%9117552.00%26197280168375183
5Roadrunners10000010651100000106510000000000021.000671300317185244011212715391521202150.00%3166.67%012022553.33%10719953.77%9117552.00%26197280168375183
6Rocket10001000211000000000001000100021121.00023500317185124011212715135221611100.00%10100.00%012022553.33%10719953.77%9117552.00%26197280168375183
7Silver Knights2020000037-41010000025-31010000012-100.00035800317185404011212715381025558225.00%5340.00%012022553.33%10719953.77%9117552.00%26197280168375183
8Wild1010000037-4000000000001010000037-400.0003580031718520401121271545141917100.00%2150.00%012022553.33%10719953.77%9117552.00%26197280168375183
9Wolf Pack21100000981110000005231010000046-220.500916250031718547401121271550142525240.00%10100.00%012022553.33%10719953.77%9117552.00%26197280168375183
Total1537011214149-8823001202628-2714010011521-6140.467416510600317185282401121271531492181335351131.43%231056.52%112022553.33%10719953.77%9117552.00%26197280168375183
_Since Last GM Reset1537011214149-8823001202628-2714010011521-6140.467416510600317185282401121271531492181335351131.43%231056.52%112022553.33%10719953.77%9117552.00%26197280168375183
_Vs Conference1437011113544-9723001102023-3714010011521-6120.42935589300317185258401121271527577160315331030.30%20955.00%112022553.33%10719953.77%9117552.00%26197280168375183
_Vs Division637001111216-432300110711-431400001550100.833121931003171851064011212715121315315119526.32%9455.56%012022553.33%10719953.77%9117552.00%26197280168375183

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1514W141651062823149218133500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
153711214149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
82301202628
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
71410011521
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
351131.43%231056.52%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
4011212715317185
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
12022553.33%10719953.77%9117552.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
26197280168375183


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
20238Canucks-Wolf Pack-
21253Wolf Pack-Canucks-
23271Canucks-Monsters-
24278Canucks-Rocket-
25296Canucks-IceHogs-
26306Bruins-Canucks-
28328Canucks-Condors-
29335Monsters-Canucks-
30354Canucks-Griffins-
31368Admirals-Canucks-
32389Silver Knights-Canucks-
34410Canucks-Stars-
35423Barracuda-Canucks-
36436Canucks-Penguins-
37455Canucks-Barracuda-
38461Marlies-Canucks-
40484Penguins-Canucks-
41503Canucks-Admirals-
42514Wild-Canucks-
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
Assistance11,0695,847
Assistance PCT69.18%73.09%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2115 - 70.48% 88,491$707,929$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
561,258$ 2,492,266$ 2,492,266$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
22,252$ 400,536$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,097,189$ 94 31,181$ 2,931,014$




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