Connexion

Canucks
GP: 49 | W: 33 | L: 12 | OTL: 4 | P: 70
GF: 187 | GA: 152 | PP%: 23.53% | PK%: 82.07%
DG: Luc Chicoine | Morale : 67 | Moyenne d’équipe : 63
Prochains matchs #791 vs StarsF
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Centre de jeu
Canucks
33-12-4, 70pts
3
FINAL
1 Bears
32-18-0, 64pts
Team Stats
W8SéquenceW2
18-5-1Fiche domicile18-7-0
15-7-3Fiche domicile14-11-0
8-2-0Derniers 10 matchs6-4-0
3.82Buts par match 2.84
3.10Buts contre par match 2.66
23.53%Pourcentage en avantage numérique15.23%
82.07%Pourcentage en désavantage numérique83.33%
Thunderbirds
29-16-2, 60pts
2
FINAL
3 Canucks
33-12-4, 70pts
Team Stats
W1SéquenceW8
15-9-1Fiche domicile18-5-1
14-7-1Fiche domicile15-7-3
8-2-0Derniers 10 matchs8-2-0
3.60Buts par match 3.82
3.06Buts contre par match 3.10
25.32%Pourcentage en avantage numérique23.53%
79.27%Pourcentage en désavantage numérique82.07%
StarsF
31-12-5, 67pts
2023-12-10
Canucks
33-12-4, 70pts
Statistiques d’équipe
SOL1SéquenceW8
15-6-4Fiche domicile18-5-1
16-6-1Fiche visiteur15-7-3
5-4-110 derniers matchs8-2-0
3.75Buts par match 3.82
3.13Buts contre par match 3.82
26.45%Pourcentage en avantage numérique23.53%
76.86%Pourcentage en désavantage numérique82.07%
Canucks
33-12-4, 70pts
2023-12-12
Reign
18-25-5, 41pts
Statistiques d’équipe
W8SéquenceOTL1
18-5-1Fiche domicile10-12-3
15-7-3Fiche visiteur8-13-2
8-2-010 derniers matchs7-2-1
3.82Buts par match 3.23
3.10Buts contre par match 3.23
23.53%Pourcentage en avantage numérique19.62%
82.07%Pourcentage en désavantage numérique70.59%
Wranglers
23-23-1, 47pts
2023-12-14
Canucks
33-12-4, 70pts
Statistiques d’équipe
W2SéquenceW8
13-12-0Fiche domicile18-5-1
10-11-1Fiche visiteur15-7-3
6-4-010 derniers matchs8-2-0
3.36Buts par match 3.82
2.98Buts contre par match 3.82
25.00%Pourcentage en avantage numérique23.53%
77.86%Pourcentage en désavantage numérique82.07%
Meneurs d'équipe
Buts
Brendan Woods
24
Passes
Isaac Ratcliffe
32
Points
Ryan Poehling
53
Plus/Moins
Isaac Ratcliffe
34
Victoires
Jeremy Smith
24
Pourcentage d’arrêts
Jeremy Smith
0.898

Statistiques d’équipe
Buts pour
187
3.82 GFG
Tirs pour
1527
31.16 Avg
Pourcentage en avantage numérique
23.5%
40 GF
Début de zone offensive
40.2%
Buts contre
152
3.10 GAA
Tirs contre
1421
29.00 Avg
Pourcentage en désavantage numérique
82.1%%
33 GA
Début de la zone défensive
40.2%
Informations de l'équipe

Directeur généralLuc Chicoine
EntraîneurCurt Fraser
DivisionDivision Nord-Ouest
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,496
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 55
Espoirs27


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
1Isaac RatcliffeX100.007345757376727275647573766548476871660242900,000$
2Ivan TeleginX100.005740937074757368716963736263584574640311900,000$
3Josh ArchibaldX100.0078457772687183676867717066675452766403111,300,000$
4Kasper BjorkqvistX100.006345907270727169646767716448466079630262750,000$
5Matt FilipeX100.006745817270727271726966716348466079630262750,000$
6Emile PoirierX100.006244866971768164656564686656505462620283900,000$
7Chris BrownX100.006847906974667169606567696551454759620321800,000$
8Artem ArtemovX100.007657646870737467646664604651626079620261750,000$
9Curtis ValkX100.0060449272656468666465656462484553796103021,000,000$
10Matej StranskyX100.006841746575637764636263676465585219610302700,000$
11Dalton SmithX100.0060538968737072676563636861454553306003131,000,000$
12Geoff PlattX100.0052389269656265646759606860514625195803821,000,000$
13Nicolas MelocheX100.007645797272788973457269746053476075660262900,000$
14Joe MorrowX100.0066508769727872714567676956655248696503111,300,000$
15Dennis GilbertX100.0083696675757787684567667060594664836502711,000,000$
16Sergey ZborovskiyX100.007565697272697466456767685551476070630261750,000$
17Miles GendronX100.006245847772676268456561675649456436620272800,000$
18Daniel RahimiX100.0070458168717175635257586757684831196103611,000,000$
Rayé
1Ryan Poehling (R)X100.006845927270728272717172776660456067660243900,000$
2Brendan WoodsX96.0081556466767379715972707267656246816503111,500,000$
3Connor DewarX68.9268458274687173717069677465534670476402431,200,000$
4Niklas TikkinenX100.0060459171696666674563626760454556336102931,000,000$
5David WarsofskyX100.0061459071676770674566646662514642746103331,000,000$
6Aaron NessX100.0065448970666967604559566660585544196003311,000,000$
MOYENNE D’ÉQUIPE98.50674882717171746858666569615549535863
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
1Jeremy Smith98.007576757577778179798076475038616303431,350,000$
2Justin Pogge100.007477778075757877787878465024776203721,250,000$
Rayé
1Justin Peters100.00687572797273757575737646513038590371650,000$
MOYENNE D’ÉQUIPE99.3372767578757578777777774650315961
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Curt Fraser63887262999930USA645100,000$


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
1Brendan WoodsCanucks (Van)RW4924295330475129571404810117.14%694219.24358201340000525350.70%14200001.1224100643
2Ryan PoehlingCanucks (Van)C4323305331001182133389917.29%878818.338101825960000354254.57%100600011.3513000353
3Isaac RatcliffeCanucks (Van)LW431732493410043481495210411.41%1078118.1716719810000413245.55%19100001.2515000351
4Dennis GilbertCanucks (Van)D491032422197251304580323512.50%59111822.844913361300000117100%000000.7500212313
5Nicolas MelocheCanucks (Van)D41731381249565297327559.59%5986020.9951116431170114116100%000100.8800000121
6Joe MorrowCanucks (Van)D4915213617120353161173924.59%60115423.56448251320001153110%000110.6200000226
7Connor DewarCanucks (Van)LW3492130-46032499823709.18%962818.50391216870003503153.06%4900000.9501000131
8Ivan TeleginCanucks (Van)C4482129-72088211530826.96%1080518.3234721910002620253.94%102900000.7200000111
9Matt FilipeCanucks (Van)C49131528-416052103108397812.04%487417.854371410800051172350.50%110300000.6402000310
10Josh ArchibaldCanucks (Van)RW49141125-2030011054130348610.77%1195219.433362012510151123046.58%16100000.5345000322
11Kasper BjorkqvistCanucks (Van)RW491482210401245107286313.08%465613.390007420000173149.07%10800000.6701000110
12Sergey ZborovskiyCanucks (Van)D41515201929532233381415.15%3570617.23033480002101100%000000.5700100103
13David WarsofskyCanucks (Van)D4341519-718049264313329.30%2885019.7724621110000050110%000000.4500000002
14Curtis ValkCanucks (Van)C498715114010345093916.00%23958.0700000000002146.01%36300000.7600000001
15Chris BrownCanucks (Van)RW465914340271144122511.36%53036.6100005000011034.48%2900000.9201000000
16Artem ArtemovCanucks (Van)LW4939121450094264614426.52%561712.60000290002100046.00%5000000.3901000011
17Miles GendronCanucks (Van)D292911-71201919267127.69%2251117.64022728000041000%000000.4300000000
18Niklas TikkinenCanucks (Van)D211910020019913587.69%1836417.3600026011023000%000000.5500000011
19Emile PoirierCanucks (Van)LW45077-132026123810500%1359513.2303313000041290041.67%3600000.2400000000
20Daniel RahimiCanucks (Van)D110333401465160%1718616.9300007000118000%000000.3200000001
21Aaron NessCanucks (Van)D10022110013113130%1316916.920000100007000%000000.2400000000
22Matej StranskyCanucks (Van)RW1220234023132615.38%0685.6900000000000066.67%600000.5900000000
23Geoff PlattCanucks (Van)C110111202411040%1514.6800000000020033.90%5900000.3900000000
24Dalton SmithCanucks (Van)LW161010206380812.50%2875.4600000000000040.00%500000.2300000000
Statistiques d’équipe totales ou en moyenne882185337522148434409408121527450106112.12%4011447116.4140761162831359123291260311751.07%433700220.72823412282930
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
1Jeremy SmithCanucks (Van)3524820.8982.86197222949200000.60010345221
2Justin PoggeCanucks (Van)137310.8953.3669660393700010.80051034100
3Justin PetersCanucks (Van)62110.8922.8129901141300000.5717510000
Statistiques d’équipe totales ou en moyenne54331240.8962.972968831471420001224949321


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 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 Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Aaron NessCanucks (Van)D331990-05-18No184 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Artem ArtemovCanucks (Van)LW261997-01-17No205 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Brendan WoodsCanucks (Van)RW311992-06-11No210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Chris BrownCanucks (Van)RW321991-02-03No215 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Connor Dewar (sur la masse salariale)Canucks (Van)LW241999-06-26No170 Lbs5 ft10NoNoN/ANoNo3Pro & Farm1,200,000$0$0$Yes1,200,000$1,200,000$-------NoNo-------Lien
Curtis ValkCanucks (Van)C301993-02-08No167 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Dalton SmithCanucks (Van)LW311992-06-30No205 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Daniel RahimiCanucks (Van)D361987-04-28 06:01:24No209 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
David WarsofskyCanucks (Van)D331990-05-30No174 Lbs5 ft8NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Dennis GilbertCanucks (Van)D271996-10-30No216 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Emile PoirierCanucks (Van)LW281994-12-14No196 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Geoff PlattCanucks (Van)C381985-07-10No175 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Isaac RatcliffeCanucks (Van)LW241999-02-15No225 Lbs6 ft6NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Ivan TeleginCanucks (Van)C311992-02-28No198 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Jeremy SmithCanucks (Van)G341989-04-13No170 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,350,000$0$0$No1,350,000$1,350,000$-------NoNo-------Lien
Joe MorrowCanucks (Van)D311992-12-09No199 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Josh ArchibaldCanucks (Van)RW311992-10-06No176 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Justin PetersCanucks (Van)G371986-08-30No210 Lbs6 ft1NoNoN/ANoNo1Pro & Farm650,000$0$0$No------------------Lien
Justin PoggeCanucks (Van)G371986-04-22No205 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Kasper BjorkqvistCanucks (Van)RW261997-07-10No198 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Matej StranskyCanucks (Van)RW301993-07-11No210 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Matt FilipeCanucks (Van)C261997-01-31No196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Miles GendronCanucks (Van)D271996-06-28No181 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Nicolas MelocheCanucks (Van)D261997-07-18No204 Lbs6 ft3NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Niklas TikkinenCanucks (Van)D291994-06-01No185 Lbs5 ft11NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Ryan PoehlingCanucks (Van)C241999-01-03Yes196 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Sergey ZborovskiyCanucks (Van)D261997-02-21No209 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2729.93196 Lbs6 ft11.85975,926$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Isaac Ratcliffe35014
2Ivan TeleginJosh Archibald33023
3Artem ArtemovMatt FilipeKasper Bjorkqvist27131
4Emile PoirierCurtis ValkChris Brown5131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowNicolas Meloche30131
2Sergey ZborovskiyDennis Gilbert30131
3Miles Gendron30131
4Joe MorrowDennis Gilbert10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt Filipe50104
2Ivan TeleginJosh Archibald50104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowDennis Gilbert50104
2Nicolas Meloche50104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Emile Poirier50140
2Matt FilipeJosh Archibald50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowDennis Gilbert50140
2Sergey ZborovskiyNicolas Meloche50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matt Filipe50140Joe MorrowDennis Gilbert50140
250140Sergey Zborovskiy50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt FilipeIsaac Ratcliffe50122
2Josh Archibald50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowDennis Gilbert50122
2Nicolas Meloche50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Isaac RatcliffeJoe MorrowDennis Gilbert
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Isaac RatcliffeMatt FilipeJoe MorrowDennis Gilbert
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Filipe, , Josh Archibald, Kasper BjorkqvistMatt Filipe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Morrow, , Nicolas MelocheDennis GilbertJoe Morrow,
Tirs de pénalité
Isaac Ratcliffe, Josh Archibald, , Matt Filipe,
Gardien
#1 : Jeremy Smith, #2 : Justin Pogge


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
1Admirals22000000835220000008350000000000041.000815230072625185751348352430541728365240.00%7185.71%1905174251.95%877174250.34%43385350.76%11808051136378652327
2Barracuda11000000532110000005320000000000021.000510150072625182551348352430195615200.00%30100.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
3Bears11000000312000000000001100000031221.000369007262518355134835243027410143133.33%50100.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
4Condors4310000016133220000009542110000078-160.7501630460072625181175134835243011334387415533.33%19289.47%0905174251.95%877174250.34%43385350.76%11808051136378652327
5Eagles321000001413100000000000321000001413140.66714243800726251884513483524301013032549333.33%15660.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
6Firebirds210000101165110000004041000001076141.00011193001726251872513483524307519224010220.00%70100.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
7Griffins403000011324-1120200000512-720100001812-410.1251325380072625181315134835243014039429515320.00%20575.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
8Gulls2110000034-11010000013-21100000021120.500347007262518455134835243044131445500.00%7271.43%0905174251.95%877174250.34%43385350.76%11808051136378652327
9Icehogs2200000010282200000010280000000000041.0001018280172625187351348352430461113399222.22%40100.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
10Iowa Wild321000001091220000008531010000024-240.6671019291072625189651348352430963028629333.33%140100.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
11Islanders11000000431000000000001100000043121.00047110072625184751348352430291018143133.33%40100.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
12Marlies11000000532110000005320000000000021.0005101500726251829513483524303214618300.00%30100.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
13Monsters4310000015123220000008532110000077060.7501527420072625181155134835243012427319117635.29%12375.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
14Moose11000000422000000000001100000042221.000471100726251822513483524303251214300.00%6183.33%0905174251.95%877174250.34%43385350.76%11808051136378652327
15PenguinsF11000000541000000000001100000054121.00059140072625184051348352430278015300.00%000%0905174251.95%877174250.34%43385350.76%11808051136378652327
16Phantoms220000001019110000004131100000060641.0001017270172625187351348352430491283710330.00%40100.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
17Reign21000010862110000004311000001043141.000813210072625186751348352430581112366116.67%6183.33%0905174251.95%877174250.34%43385350.76%11808051136378652327
18Rocket11000000514110000005140000000000021.00059140072625184051348352430196215200.00%110.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
19Silver Knights413000001317-420200000510-52110000087120.2501323360072625181345134835243012333417313538.46%17570.59%0905174251.95%877174250.34%43385350.76%11808051136378652327
20StarsF11000000211110000002110000000000021.000235007262518265134835243031111017200.00%4175.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
21Thunderbirds4200000214140210000016602100000188060.750142842007262518114513483524309936267517317.65%13376.92%0905174251.95%877174250.34%43385350.76%11808051136378652327
22Wolf Pack1000000156-1000000000001000000156-110.5005712007262518255134835243039112720300.00%6266.67%0905174251.95%877174250.34%43385350.76%11808051136378652327
23Wolves1010000023-1000000000001010000023-100.0002460072625183451348352430226821300.00%30100.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
24Wranglers11000000211000000000001100000021121.0002350072625182651348352430229820300.00%40100.00%0905174251.95%877174250.34%43385350.76%11808051136378652327
Total49311200024187152352418500001896326251370002398899700.71418733752413726251815275134835243014214014429401704023.53%1843382.07%1905174251.95%877174250.34%43385350.76%11808051136378652327
_Since Last GM Reset49311200024187152352418500001896326251370002398899700.71418733752413726251815275134835243014214014429401704023.53%1843382.07%1905174251.95%877174250.34%43385350.76%11808051136378652327
_Vs Conference372211000131331221120145000017158131786000126264-2490.66213324237511726251811105134835243010703063297321273325.98%1452980.00%1905174251.95%877174250.34%43385350.76%11808051136378652327
_Vs Division1696000005850884200000282448540000030264180.5635810216001726251848651348352430454124141303541324.07%631084.13%0905174251.95%877174250.34%43385350.76%11808051136378652327

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4970W81873375241527142140144294013
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4931120024187152
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2418500018963
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2513700239889
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1704023.53%1843382.07%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
513483524307262518
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
905174251.95%877174250.34%43385350.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11808051136378652327


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
2 - 2023-08-2613StarsF1Canucks2BWSommaire du match
4 - 2023-08-2826Canucks5Eagles3AWSommaire du match
6 - 2023-08-3043Thunderbirds4Canucks3BLXXSommaire du match
8 - 2023-09-0155Canucks5Griffins8ALSommaire du match
9 - 2023-09-0270Canucks2Iowa Wild4ALSommaire du match
11 - 2023-09-0483Icehogs0Canucks6BWSommaire du match
13 - 2023-09-06100Canucks2Monsters4ALSommaire du match
16 - 2023-09-09119Reign3Canucks4BWSommaire du match
18 - 2023-09-11132Canucks4Condors2AWSommaire du match
20 - 2023-09-13151Condors3Canucks4BWSommaire du match
23 - 2023-09-16169Canucks2Gulls1AWSommaire du match
24 - 2023-09-17185Marlies3Canucks5BWSommaire du match
27 - 2023-09-20202Iowa Wild1Canucks2BWSommaire du match
28 - 2023-09-21214Canucks7Eagles6AWSommaire du match
32 - 2023-09-25234Admirals2Canucks3BWSommaire du match
35 - 2023-09-28257Canucks4Thunderbirds5ALXXSommaire du match
37 - 2023-09-30270Barracuda3Canucks5BWSommaire du match
39 - 2023-10-02290Icehogs2Canucks4BWSommaire du match
42 - 2023-10-05314Canucks5Wolf Pack6ALXXSommaire du match
44 - 2023-10-07324Admirals1Canucks5BWSommaire du match
47 - 2023-10-10350Canucks7Firebirds6AWXXSommaire du match
48 - 2023-10-11359Griffins7Canucks2BLSommaire du match
51 - 2023-10-14374Canucks2Eagles4ALSommaire du match
53 - 2023-10-16390Iowa Wild4Canucks6BWSommaire du match
55 - 2023-10-18409Canucks5PenguinsF4AWSommaire du match
57 - 2023-10-20425Rocket1Canucks5BWSommaire du match
59 - 2023-10-22440Canucks3Griffins4ALXXSommaire du match
61 - 2023-10-24451Canucks3Condors6ALSommaire du match
62 - 2023-10-25461Firebirds0Canucks4BWSommaire du match
66 - 2023-10-29484Griffins5Canucks3BLSommaire du match
68 - 2023-10-31501Canucks4Islanders3AWSommaire du match
70 - 2023-11-02512Canucks4Thunderbirds3AWSommaire du match
72 - 2023-11-04522Canucks4Reign3AWXXSommaire du match
74 - 2023-11-06534Monsters4Canucks5BWSommaire du match
76 - 2023-11-08553Canucks2Wranglers1AWSommaire du match
78 - 2023-11-10566Silver Knights5Canucks3BLSommaire du match
80 - 2023-11-12578Canucks2Silver Knights3ALSommaire du match
82 - 2023-11-14596Silver Knights5Canucks2BLSommaire du match
84 - 2023-11-16610Canucks5Monsters3AWSommaire du match
86 - 2023-11-18627Canucks2Wolves3ALSommaire du match
87 - 2023-11-19635Gulls3Canucks1BLSommaire du match
91 - 2023-11-23661Condors2Canucks5BWSommaire du match
93 - 2023-11-25681Canucks6Phantoms0AWSommaire du match
94 - 2023-11-26692Monsters1Canucks3BWSommaire du match
96 - 2023-11-28708Canucks6Silver Knights4AWSommaire du match
99 - 2023-12-01725Phantoms1Canucks4BWSommaire du match
101 - 2023-12-03743Canucks4Moose2AWSommaire du match
103 - 2023-12-05754Canucks3Bears1AWSommaire du match
104 - 2023-12-06763Thunderbirds2Canucks3BWSommaire du match
108 - 2023-12-10791StarsF-Canucks-
110 - 2023-12-12809Canucks-Reign-
112 - 2023-12-14821Wranglers-Canucks-
113 - 2023-12-15836Canucks-Wranglers-
115 - 2023-12-17851Reign-Canucks-
118 - 2023-12-20866Canucks-Icehogs-
120 - 2023-12-22879Canucks-StarsF-
121 - 2023-12-23892SenatorsF-Canucks-
123 - 2023-12-25909Canucks-StarsF-
125 - 2023-12-27923Barracuda-Canucks-
128 - 2023-12-30942Canucks-Iowa Wild-
129 - 2023-12-31952Comets-Canucks-
133 - 2024-01-04979Roadrunners-Canucks-
135 - 2024-01-06995Canucks-Roadrunners-
137 - 2024-01-081008Canucks-Admirals-
138 - 2024-01-091018Moose-Canucks-
140 - 2024-01-111031Canucks-Gulls-
143 - 2024-01-141049Americans-Canucks-
145 - 2024-01-161066Canucks-Roadrunners-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2024-01-181078Marlies-Canucks-
151 - 2024-01-221107Comets-Canucks-
153 - 2024-01-241120Canucks-Admirals-
155 - 2024-01-261134Canucks-Checkers-
157 - 2024-01-281146Wranglers-Canucks-
160 - 2024-01-311169Crunch-Canucks-
163 - 2024-02-031197Canucks-BruinsF-
165 - 2024-02-051203Gulls-Canucks-
168 - 2024-02-081228Eagles-Canucks-
172 - 2024-02-121255Eagles-Canucks-
173 - 2024-02-131256Canucks-Barracuda-
175 - 2024-02-151271Canucks-Icehogs-
178 - 2024-02-181291Roadrunners-Canucks-
181 - 2024-02-211309Canucks-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance36,83723,076
Assistance PCT76.74%96.15%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 2496 - 83.21% 98,808$2,371,383$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,510,163$ 2,515,000$ 2,515,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,451,406$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,679,730$ 75 14,368$ 1,077,600$




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