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Connexion

Canucks
GP: 60 | W: 23 | L: 27 | OTL: 10 | P: 56
GF: 165 | GA: 192 | PP%: 31.09% | PK%: 67.65%
DG: Travis Mayhew | Morale : 34 | Moyenne d’équipe : 57
Prochains matchs #923 vs Wolf Pack

Centre de jeu
Phantoms
28-26-6, 62pts
2
1 Canucks
23-27-10, 56pts
Team Stats
W1SéquenceOTL1
12-15-3Fiche domicile12-12-5
16-11-3Fiche domicile11-15-5
8-2-0Derniers 10 matchs4-4-2
2.47Buts par match 2.75
2.82Buts contre par match 3.20
25.58%Pourcentage en avantage numérique31.09%
66.24%Pourcentage en désavantage numérique67.65%
Canucks
23-27-10, 56pts
2
3 Wolves
24-25-9, 57pts
Team Stats
OTL1SéquenceW2
12-12-5Fiche domicile12-13-5
11-15-5Fiche domicile12-12-4
4-4-2Derniers 10 matchs4-4-2
2.75Buts par match 1.78
3.20Buts contre par match 2.45
31.09%Pourcentage en avantage numérique25.41%
67.65%Pourcentage en désavantage numérique73.79%
Wolf Pack
24-30-6, 54pts
Jour 74
Canucks
23-27-10, 56pts
Statistiques d’équipe
W1SéquenceOTL1
12-15-2Fiche domicile12-12-5
12-15-4Fiche visiteur11-15-5
5-3-210 derniers matchs4-4-2
2.12Buts par match 2.75
3.15Buts contre par match 2.75
28.15%Pourcentage en avantage numérique31.09%
71.20%Pourcentage en désavantage numérique67.65%
Reign
30-26-4, 64pts
Jour 75
Canucks
23-27-10, 56pts
Statistiques d’équipe
L1SéquenceOTL1
13-16-0Fiche domicile12-12-5
17-10-4Fiche visiteur11-15-5
2-7-110 derniers matchs4-4-2
3.67Buts par match 2.75
3.68Buts contre par match 2.75
26.74%Pourcentage en avantage numérique31.09%
69.80%Pourcentage en désavantage numérique67.65%
Canucks
23-27-10, 56pts
Jour 77
Reign
30-26-4, 64pts
Statistiques d’équipe
OTL1SéquenceL1
12-12-5Fiche domicile13-16-0
11-15-5Fiche visiteur17-10-4
4-4-210 derniers matchs2-7-1
2.75Buts par match 3.67
3.20Buts contre par match 3.67
31.09%Pourcentage en avantage numérique26.74%
67.65%Pourcentage en désavantage numérique69.80%
Meneurs d'équipe
Mason ShawButs
Mason Shaw
31
Mason ShawPasses
Mason Shaw
37
Mason ShawPoints
Mason Shaw
68
Garrett PilonPlus/Moins
Garrett Pilon
7
Victoires
Olivier Rodrigue
22
Pourcentage d’arrêts
Michael Simpson
0.86

Statistiques d’équipe
Buts pour
165
2.75 GFG
Tirs pour
1171
19.52 Avg
Pourcentage en avantage numérique
31.1%
37 GF
Début de zone offensive
37.3%
Buts contre
192
3.20 GAA
Tirs contre
1142
19.03 Avg
Pourcentage en désavantage numérique
67.6%%
44 GA
Début de la zone défensive
32.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,150
Billets de saison1,500


Informations de la formation

Équipe Pro22
Équipe Mineure32
Limite contact 54 / 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
1Jonas RondbjergXX100.0059419981755483623154606425565658656202721,256,000$
2Mason ShawXXX100.0065665666668187637560645757464659586102731,254,000$
3Garrett PilonX100.0072707568707883627764556051464659566102811,043,000$
4Amadeus LombardiX100.0072649269665147678165686264464664586102231,235,000$
5Linus Karlsson (R)XX100.007743926866577066316166602548496321600261925,000$
6Roby JarventieXX100.008477998178363159757144664246465761590233850,000$
7Shane Bowers (R)XX100.007670886970778451645147594447475454580261940,000$
8Chase De LeoX100.0077699864695859575053576154464659475703011,314,000$
9Marcel MarcelXXX100.0083896866915860516548506248464654545702231,284,000$
10Josh LopinaX100.0077739064747379476145455944464654505602531,332,000$
11Roni HirvonenX100.0069638666645252546948555953454557445502431,337,000$
12Oskar PetterssonX100.0079768765775355495044506248454554205402431,094,000$
13John LudvigX100.007877807177575953254941643849495248600251925,000$
14Casey FitzgeraldX100.0068666965667582522545455639464751545802911,318,000$
15Michael BenningX100.006762836864515057254850584846465538560242750,000$
16Wyatte WylieX100.0074708863705051462536415939454550215402621,059,000$
17Corson CeulemansX100.007372756373535547253741583945454920540221750,000$
Rayé
1Antonio StrangesX96.706860847062707265506364596046466343610241893,333$
2Christian KyrouX65.7873629866645556522546436041464653395602231,269,000$
3Scott Walford (R)X100.0080759662754849452534396137454549285502731,341,000$
MOYENNE D’ÉQUIPE98.12746785687159635548515160454747564458
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
1Olivier Rodrigue (R)100.00505366594948465348503046464946500252979,000$
2Michael Simpson100.004540507545445052484830444447554902311,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0048475867474648534849304545485150
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
1Mason ShawCanucks (VAN)C/LW/RW60313768-514935145100147467521.09%27132622.109132230911016795147.69%652920021.03292321033
2Jonas RondbjergCanucks (VAN)LW/RW60273764-65557104180528915.00%21124120.7010132342891013275325.00%643719011.0313001444
3Garrett PilonCanucks (VAN)C60162541754307710487264818.39%1395615.9300000000011160.83%7251619000.8601122043
4Amadeus LombardiCanucks (VAN)C60112738-14092100109358010.09%13113919.0024612700113852160.20%6032218000.6719000112
5Antonio StrangesCanucks (VAN)LW55132437-15291511077127376910.24%13114520.8313411630225431048.63%1832819000.6513012434
6Shane BowersCanucks (VAN)C/RW60131831-6601105354163024.07%1096616.115111614791012220051.90%1581712000.6412000242
7Casey FitzgeraldCanucks (VAN)D6052227-55610125946518187.69%40149124.8544814100011287000%01228000.3601011001
8John LudvigCanucks (VAN)D6031619012680831006425244.69%73146324.38112462011349000%02639000.2600655012
9Roby JarventieCanucks (VAN)C/LW608111902020694752213515.38%773412.2400000000011252.38%21410000.5200310111
10Chase De LeoCanucks (VAN)LW559615-1300544446102519.57%1174813.601341181012461244.00%225512000.4000000111
11Christian KyrouCanucks (VAN)D6011314-79556743521162.86%50139123.181341710114111100%0325000.2000010000
12William TrudeauCanucksD415914-514965846444182211.36%52105625.78303966011036110%0222000.2600247002
13Linus KarlssonCanucks (VAN)C/RW39941312045364892518.75%1046011.810224240000170042.55%47104000.5601000103
14Marcel MarcelCanucks (VAN)C/LW/RW606713-938101507558204510.34%1196116.030112530002102053.85%13169000.2704002111
15Ondrej PavelCanucksC31167475331377814.29%13029.76000140110141053.57%5654000.4600100010
16Josh LopinaCanucks (VAN)C60426-723555452481016.67%469711.62000090001250050.28%17788000.1700001011
17Brendan WarrenCanucksLW1010110010100100.00%0232.370000000002000%000000.8400000000
18Michael BenningCanucks (VAN)D52011-760344511260%1977914.9900008000149000%063000.0300000000
19Scott WalfordCanucks (VAN)D39011-45518294220%743311.100110500007000%015000.0500001000
20Oskar PetterssonCanucks (VAN)RW19000200972000%1894.710000200000000%00000000000000
21Roni HirvonenCanucks (VAN)C50000000121000%0190.39000000000000100.00%10000000000000
22MacKenzie EntwistleCanucksC/RW10000000000010%060.65000000000000100.00%10000000000000
23Wyatte WylieCanucks (VAN)D29000-2208184110%334111.7800001000133000%01600000000000
24Corson CeulemansCanucks (VAN)D190000756110010%21829.5800002200002000%00200000001000
Statistiques d’équipe totales ou en moyenne1109163266429-7769729514221242117037463013.93%3881795716.19375996145847481235757211154.72%2339248284030.48633151825252530
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)602225100.8392.983381021681042635340.55627600100
2Matt TomkinsCanucks41200.8702.861260064623101.0004041000
3Michael SimpsonCanucks (VAN)50000.8603.0014000750300000019000
Statistiques d’équipe totales ou en moyenne692327100.8412.98364802181113868844316060100


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$430,045$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$311,071$0$0$No---------------------------Lien
Casey FitzgeraldCanucks (VAN)D291997-02-25USANo181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,318,000$458,946$0$0$No---------------------------Lien
Chase De LeoCanucks (VAN)LW301995-10-25USANo195 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,314,000$457,554$0$0$No---------------------------Lien / Lien NHL
Christian KyrouCanucks (VAN)D222003-09-16CANNo170 Lbs5 ft10NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,269,000$441,884$0$0$No1,269,000$1,269,000$-------1,269,000$1,269,000$-------NoNo-------Lien
Corson CeulemansCanucks (VAN)D222003-05-05CANNo191 Lbs6 ft2NoNoTrade2025-01-20NoNo1FalseFalsePro & Farm750,000$261,161$0$0$No---------------------------Lien
Garrett PilonCanucks (VAN)C281998-04-13USANo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,043,000$363,188$0$0$No---------------------------Lien / Lien NHL
John LudvigCanucks (VAN)D252000-08-02CZENo210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$322,098$0$0$No---------------------------Lien
Jonas RondbjergCanucks (VAN)LW/RW271999-03-31DENNo204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,256,000$437,357$0$0$No1,256,000$--------1,256,000$--------No--------Lien
Josh LopinaCanucks (VAN)C252001-02-16USANo199 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,332,000$463,821$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$322,098$0$0$No---------------------------Lien
Marcel MarcelCanucks (VAN)C/LW/RW222003-10-31CZENo243 Lbs6 ft4NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,284,000$447,107$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$436,661$0$0$No1,254,000$1,254,000$-------1,254,000$1,254,000$-------NoNo-------Lien / Lien NHL
Michael BenningCanucks (VAN)D242002-01-05ABNo177 Lbs5 ft9NoNoProspectNoNo22024-09-17FalseFalsePro & Farm750,000$261,161$0$0$No750,000$--------750,000$--------No--------Lien
Michael SimpsonCanucks (VAN)G232003-02-09CANNo198 Lbs6 ft1NoNoAssign ManuallyNoNo12026-02-24FalseFalsePro & Farm1,000,000$348,214$0$0$No---------------------------Lien
Olivier RodrigueCanucks (VAN)G252000-07-06CANYes158 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm979,000$340,902$0$0$No979,000$--------979,000$--------No--------Lien
Oskar PetterssonCanucks (VAN)RW242002-04-04SWENo209 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,094,000$380,946$0$0$No1,094,000$1,094,000$-------1,094,000$1,094,000$-------NoNo-------Lien
Roby JarventieCanucks (VAN)C/LW232002-08-08FINNo209 Lbs6 ft3NoNoN/ANoNo32025-11-17FalseFalsePro & Farm850,000$295,982$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$465,562$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$466,955$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$327,321$0$0$No---------------------------Lien
Wyatte WylieCanucks (VAN)D261999-11-02USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,059,000$368,759$0$0$No1,059,000$--------1,059,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.05191 Lbs6 ft02.001,097,652$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason ShawGarrett PilonJonas Rondbjerg40122
2Linus KarlssonAmadeus LombardiRoby Jarventie30122
3Shane BowersAmadeus LombardiMarcel Marcel20122
4Mason ShawJosh LopinaAmadeus Lombardi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John LudvigMichael Benning40122
2Casey Fitzgerald30122
3Casey FitzgeraldJohn Ludvig20122
4John LudvigCasey Fitzgerald10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason ShawShane BowersJonas Rondbjerg60122
2Amadeus LombardiJosh LopinaMarcel Marcel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldCorson Ceulemans60122
2John Ludvig40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Amadeus LombardiMason Shaw60122
2Shane BowersJonas Rondbjerg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey Fitzgerald60122
2John LudvigWyatte Wylie40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mason Shaw60122John LudvigCasey Fitzgerald60122
2Josh Lopina40122Corson Ceulemans40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Amadeus LombardiMason Shaw60122
2Shane BowersMarcel Marcel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael BenningJohn Ludvig60122
2Casey Fitzgerald40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason ShawAmadeus LombardiJonas RondbjergJohn LudvigCasey Fitzgerald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason ShawAmadeus LombardiJonas RondbjergJohn LudvigCasey Fitzgerald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, Shane Bowers, Amadeus LombardiMason Shaw, Amadeus LombardiMason Shaw
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Casey Fitzgerald, John Ludvig, Casey FitzgeraldJohn Ludvig, Casey Fitzgerald
Tirs de pénalité
Mason Shaw, Amadeus Lombardi, Marcel Marcel, Shane Bowers, Jonas Rondbjerg
Gardien
#1 : Olivier Rodrigue, #2 : Michael Simpson


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
1Admirals2020000037-41010000013-21010000024-200.000369103160698332354145025132623554125.00%4325.00%045786053.14%43275757.07%39168956.75%105739910936741501727
2Americans1010000024-2000000000001010000024-200.0002350031606982623541450251228421400.00%2150.00%045786053.14%43275757.07%39168956.75%105739910936741501727
3Barracuda210000014311000000112-11100000031230.750471100316069837235414502511879538112.50%2150.00%045786053.14%43275757.07%39168956.75%105739910936741501727
4Bruins3120000069-33120000069-30000000000020.3336101600316069842235414502514475554100.00%5340.00%145786053.14%43275757.07%39168956.75%105739910936741501727
5Checkers1010000036-3000000000001010000036-300.00036900316069824235414502512962823000%4175.00%045786053.14%43275757.07%39168956.75%105739910936741501727
6Comets1010000003-31010000003-30000000000000.00000000316069813235414502511491622000%3166.67%045786053.14%43275757.07%39168956.75%105739910936741501727
7Condors42100010963100000104313210000053260.750914230131606986623541450251722423819333.33%4175.00%045786053.14%43275757.07%39168956.75%105739910936741501727
8Crunch3000010247-31000010023-12000000224-230.50047110031606986623541450251241113748225.00%4175.00%045786053.14%43275757.07%39168956.75%105739910936741501727
9Eagles220000001147110000005231100000062441.000112031003160698442354145025127915499444.44%5180.00%045786053.14%43275757.07%39168956.75%105739910936741501727
10Griffins220000001495110000007341100000076141.0001419330031606983923541450251431822502150.00%7271.43%145786053.14%43275757.07%39168956.75%105739910936741501727
11Gulls1010000013-21010000013-20000000000000.00012300316069814235414502512155303133.33%000%045786053.14%43275757.07%39168956.75%105739910936741501727
12Heat2020000027-51010000004-41010000023-100.000246003160698282354145025132165342100.00%4325.00%045786053.14%43275757.07%39168956.75%105739910936741501727
13IceHogs21001000963100010004311100000053241.00091726003160698452354145025124816576466.67%30100.00%045786053.14%43275757.07%39168956.75%105739910936741501727
14Islanders1010000026-41010000026-40000000000000.00023500316069825235414502512382203133.33%110.00%045786053.14%43275757.07%39168956.75%105739910936741501727
15Marlies2010000125-31010000013-21000000112-110.250224003160698342354145025134111558300.00%5180.00%045786053.14%43275757.07%39168956.75%105739910936741501727
16Monsters21001000633110000004221000100021141.0006814003160698262354145025123939605240.00%20100.00%045786053.14%43275757.07%39168956.75%105739910936741501727
17Moose1000000134-1000000000001000000134-110.50035800316069829235414502511922322150.00%10100.00%045786053.14%43275757.07%39168956.75%105739910936741501727
18Penguins21100000910-1110000005411010000046-220.500914230031606984423541450251341234542150.00%7614.29%145786053.14%43275757.07%39168956.75%105739910936741501727
19Phantoms2010000137-41000000112-11010000025-310.250347003160698272354145025128106464125.00%3166.67%045786053.14%43275757.07%39168956.75%105739910936741501727
20Roadrunners210000101394100000106511100000074341.0001319320031606985123541450251622143514375.00%4175.00%045786053.14%43275757.07%39168956.75%105739910936741501727
21Rocket3010100146-21000000112-12010100034-130.50047111031606985723541450251482641552150.00%11372.73%045786053.14%43275757.07%39168956.75%105739910936741501727
22Senators210001005411000010023-11100000031230.75059140031606984223541450251341639354125.00%7271.43%145786053.14%43275757.07%39168956.75%105739910936741501727
23Silver Knights3120000068-22110000056-11010000012-120.333691500316069868235414502515414617813323.08%8450.00%045786053.14%43275757.07%39168956.75%105739910936741501727
24Stars20200000812-41010000025-31010000067-100.00081422003160698472354145025162186643133.33%4250.00%045786053.14%43275757.07%39168956.75%105739910936741501727
25Wild514000001526-112110000087130300000719-1220.200152338103160698114235414502512097074927228.57%17382.35%045786053.14%43275757.07%39168956.75%105739910936741501727
26Wolf Pack523000001715221100000651312000001110140.400172845103160698942354145025193334312211327.27%14192.86%045786053.14%43275757.07%39168956.75%105739910936741501727
27Wolves21000100431110000002021000010023-130.750461001316069836235414502511741044100.00%5180.00%045786053.14%43275757.07%39168956.75%105739910936741501727
Total60182703327165192-2729912012237688-12319150210489104-15560.467165266431423160698117123541450251114238869714221193731.09%1364467.65%445786053.14%43275757.07%39168956.75%105739910936741501727
_Since Last GM Reset60182703327165192-2729912012237688-12319150210489104-15560.467165266431423160698117123541450251114238869714221193731.09%1364467.65%445786053.14%43275757.07%39168956.75%105739910936741501727
_Vs Conference3812150331490102-121967012124651-51968021024451-7390.5139014723732316069872023541450251695243444857782329.49%852175.29%245786053.14%43275757.07%39168956.75%105739910936741501727
_Vs Division12713001122227-5646001101118-7637000021192190.792223658013160698213235414502511976615128434823.53%18950.00%045786053.14%43275757.07%39168956.75%105739910936741501727

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6056OTL116526643111711142388697142242
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6018273327165192
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2991212237688
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31915210489104
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
1193731.09%1364467.65%4
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
235414502513160698
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
45786053.14%43275757.07%39168956.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
105739910936741501727


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
43535Canucks1Crunch2LXXSommaire du match
44544Canucks3Wild5LSommaire du match
45558Comets3Canucks0LSommaire du match
46575Senators3Canucks2LXSommaire du match
47589Canucks2Heat3LSommaire du match
48607Canucks2Americans4LSommaire du match
49618Eagles2Canucks5WSommaire du match
50636Canucks3Checkers6LSommaire du match
51647IceHogs3Canucks4WXSommaire du match
52663Canucks3Moose4LXXSommaire du match
53676Heat4Canucks0LSommaire du match
54700Stars5Canucks2LSommaire du match
55711Canucks6Wolf Pack1WSommaire du match
57734Rocket2Canucks1LXXSommaire du match
58741Canucks7Roadrunners4WSommaire du match
59759Canucks1Marlies2LXXSommaire du match
60768Wolves0Canucks2WSommaire du match
62788Canucks1Wild7LSommaire du match
63802Wild5Canucks3LSommaire du match
65821Islanders6Canucks2LSommaire du match
66837Canucks6Eagles2WSommaire du match
67849Canucks3Senators1WSommaire du match
68862Griffins3Canucks7WSommaire du match
70881Canucks2Phantoms5LSommaire du match
71892Phantoms2Canucks1LXXSommaire du match
72907Canucks2Wolves3LXSommaire du match
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
Assistance40,47921,878
Assistance PCT69.79%75.44%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
14 2150 - 71.67% 89,654$2,599,956$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,256,219$ 2,414,833$ 2,414,833$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
21,561$ 1,604,402$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,255,151$ 39 30,490$ 1,189,110$




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