Connexion

Canucks
GP: 44 | W: 28 | L: 12 | OTL: 4 | P: 60
GF: 167 | GA: 142 | PP%: 22.67% | PK%: 81.48%
DG: Luc Chicoine | Morale : 61 | Moyenne d’équipe : 63
Prochains matchs #708 vs Silver Knights
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Centre de jeu
Canucks
28-12-4, 60pts
6
FINAL
0 Phantoms
9-30-4, 22pts
Team Stats
W3StreakL5
16-5-1Home Record6-13-4
12-7-3Away Record3-17-0
5-5-0Last 10 Games1-8-1
3.80Buts par match 2.35
3.23Buts contre par match 4.07
22.67%Pourcentage en avantage numérique14.88%
81.48%Pourcentage en désavantage numérique71.76%
Monsters
30-15-0, 60pts
1
FINAL
3 Canucks
28-12-4, 60pts
Team Stats
L3StreakW3
15-6-0Home Record16-5-1
15-9-0Away Record12-7-3
5-5-0Last 10 Games5-5-0
3.58Buts par match 3.80
2.91Buts contre par match 3.23
16.91%Pourcentage en avantage numérique22.67%
75.59%Pourcentage en désavantage numérique81.48%
Canucks
28-12-4, 60pts
2023-11-28
Silver Knights
24-15-3, 51pts
Statistiques d’équipe
W3SéquenceW3
16-5-1Fiche domicile11-10-1
12-7-3Fiche visiteur13-5-2
5-5-010 derniers matchs8-2-0
3.80Buts par match 3.45
3.23Buts contre par match 3.45
22.67%Pourcentage en avantage numérique22.63%
81.48%Pourcentage en désavantage numérique73.57%
Phantoms
9-30-4, 22pts
2023-12-01
Canucks
28-12-4, 60pts
Statistiques d’équipe
L5SéquenceW3
6-13-4Fiche domicile16-5-1
3-17-0Fiche visiteur12-7-3
1-8-110 derniers matchs5-5-0
2.35Buts par match 3.80
4.07Buts contre par match 3.80
14.88%Pourcentage en avantage numérique22.67%
71.76%Pourcentage en désavantage numérique81.48%
Canucks
28-12-4, 60pts
2023-12-03
Moose
19-20-4, 42pts
Statistiques d’équipe
W3SéquenceL1
16-5-1Fiche domicile10-10-2
12-7-3Fiche visiteur9-10-2
5-5-010 derniers matchs5-4-1
3.80Buts par match 3.26
3.23Buts contre par match 3.26
22.67%Pourcentage en avantage numérique20.28%
81.48%Pourcentage en désavantage numérique74.22%
Meneurs d'équipe
Buts
Brendan Woods
22
Passes
Isaac Ratcliffe
30
Points
Brendan Woods
50
Plus/Moins
Isaac Ratcliffe
30
Victoires
Jeremy Smith
19
Pourcentage d’arrêts
Justin Pogge
0.895

Statistiques d’équipe
Buts pour
167
3.80 GFG
Tirs pour
1384
31.45 Avg
Pourcentage en avantage numérique
22.7%
34 GF
Début de zone offensive
40.6%
Buts contre
142
3.23 GAA
Tirs contre
1267
28.80 Avg
Pourcentage en désavantage numérique
81.5%%
30 GA
Début de la zone défensive
39.7%
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
Assistance2,495
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 RatcliffeX100.007345757376727275647573766548476865660242900,000$
2Ryan Poehling (R)X100.006845927270728272717172776660456058660243900,000$
3Brendan WoodsX98.0081556466767379715972707267656246756503111,500,000$
4Connor DewarX100.0068458274687173717069677465534670516402431,200,000$
5Ivan TeleginX100.005740937074757368716963736263584568640311900,000$
6Josh ArchibaldX100.0078457772687183676867717066675452696403111,300,000$
7Kasper BjorkqvistX100.006345907270727169646767716448466072630262750,000$
8Matt FilipeX100.006745817270727271726966716348466072630262750,000$
9Emile PoirierX100.006244866971768164656564686656505456620283900,000$
10Chris BrownX100.006847906974667169606567696551454752620321800,000$
11Artem ArtemovX100.007657646870737467646664604651626072620261750,000$
12Curtis ValkX100.0060449272656468666465656462484553726103021,000,000$
13Nicolas MelocheX100.007645797272788973457269746053476069660262900,000$
14Joe MorrowX100.0066508769727872714567676956655248626503011,300,000$
15Dennis GilbertX100.0083696675757787684567667060594664776502711,000,000$
16Sergey ZborovskiyX100.007565697272697466456767685551476064630261750,000$
17Miles GendronX100.006245847772676268456561675649456430620272800,000$
18David WarsofskyX100.0061459071676770674566646662514642676103331,000,000$
Rayé
1Matej StranskyX100.006841746575637764636263676465585220610302700,000$
2Dalton SmithX100.0060538968737072676563636861454553356003131,000,000$
3Geoff PlattX100.0052389269656265646759606860514625225803821,000,000$
4Daniel RahimiX100.0070458168717175635257586757684831196103611,000,000$
5Niklas TikkinenX100.0060459171696666674563626760454556386102931,000,000$
6Aaron NessX100.0065448970666967604559566660585544206003311,000,000$
MOYENNE D’ÉQUIPE99.92674882717171746858666569615549535463
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 Smith100.007576757577778179798076475038546303431,350,000$
2Justin Pogge100.007477778075757877787878465024696203721,250,000$
Rayé
1Justin Peters100.00687572797273757575737646513040590371650,000$
MOYENNE D’ÉQUIPE100.0072767578757578777777774650315461
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)RW442228502745511650130449516.92%583318.95358181170000335353.39%11800001.2024100642
2Ryan PoehlingCanucks (Van)C3820264627001164114328817.54%870118.47681421800000353153.74%92300011.3113000342
3Isaac RatcliffeCanucks (Van)LW3815304530803745140499810.71%870818.6516719810000403245.99%18700001.2715000351
4Dennis GilbertCanucks (Van)D44829372083251203974273110.81%53100822.914812331130000104000.00%000000.7300212213
5Joe MorrowCanucks (Van)D4413193213100312752153225.00%55103923.63347211170001133110.00%000110.6200000226
6Nicolas MelocheCanucks (Van)D3662329845561246624419.09%5275721.03481239101011396100.00%000100.7700000011
7Connor DewarCanucks (Van)LW2991928-440294488216210.23%555219.04381114730003483158.14%4300001.0101000131
8Ivan TeleginCanucks (Van)C3981826-6208759728738.25%872018.4632516760001600253.65%91700000.7200000111
9Josh ArchibaldCanucks (Van)RW44111122-192801005311731799.40%885119.35235151111014952047.06%15300000.5245000221
10Kasper BjorkqvistCanucks (Van)RW44137206401239100216013.00%459713.580007410000172148.51%10100000.6701000100
11Matt FilipeCanucks (Van)C4412820-8160499398287312.24%477917.7141513920004972350.83%96400000.5102000210
12Sergey ZborovskiyCanucks (Van)D36515201825527213181416.13%3261817.1803348000285100.00%000000.6500100103
13David WarsofskyCanucks (Van)D3831316-912040233911307.69%2775019.761342096000041100.00%000000.4300000001
14Curtis ValkCanucks (Van)C447714114010304793714.89%23638.2600000000001146.23%31800000.7700000001
15Chris BrownCanucks (Van)RW415813340261038111913.16%52716.6300005000011035.71%2800000.9601000000
16Niklas TikkinenCanucks (Van)D211910020019913587.69%1836417.3600026011023000.00%000000.5500000011
17Artem ArtemovCanucks (Van)LW4437101046079234413346.82%556012.73000290002100046.51%4300000.3601000010
18Miles GendronCanucks (Van)D24189-9100161724694.17%2242817.86022727000037000.00%000000.4200000000
19Emile PoirierCanucks (Van)LW40077-132026103210460.00%1354213.5603313000021080045.45%3300000.2600000000
20Daniel RahimiCanucks (Van)D110333401465160.00%1718616.9300007000118000.00%000000.3200000001
21Aaron NessCanucks (Van)D10022110013113130.00%1316916.920000100007000.00%000000.2400000000
22Matej StranskyCanucks (Van)RW1220234023132615.38%0685.6900000000000066.67%600000.5900000000
23Geoff PlattCanucks (Van)C110111202411040.00%1514.6800000000020033.90%5900000.3900000000
24Dalton SmithCanucks (Van)LW161010206380812.50%2875.4600000000000040.00%500000.2300000000
Statistiques d’équipe totales ou en moyenne79216529846311339040854723138439795611.92%3671301216.433464982521204123231099261551.08%389800220.71823412242625
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)3019820.8903.01167222847660000.60010295111
2Justin PoggeCanucks (Van)137310.8953.3669660393700010.80051029100
3Justin PetersCanucks (Van)62110.8922.8129901141300000.5717510000
Statistiques d’équipe totales ou en moyenne49281240.8923.082668831371266001224444211


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Aaron NessCanucks (Van)D331990-05-18No184 Lbs5 ft10NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Artem ArtemovCanucks (Van)LW261997-01-17No205 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Brendan WoodsCanucks (Van)RW311992-06-11No210 Lbs6 ft4NoNoNoNo1Pro & Farm1,500,000$0$0$NoLien
Chris BrownCanucks (Van)RW321991-02-03No215 Lbs6 ft2NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Connor DewarCanucks (Van)LW241999-06-26No170 Lbs5 ft10NoNoNoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$Lien
Curtis ValkCanucks (Van)C301993-02-08No167 Lbs5 ft9NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Dalton SmithCanucks (Van)LW311992-06-30No205 Lbs6 ft2NoNoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Daniel RahimiCanucks (Van)D361987-04-28 06:01:24No209 Lbs6 ft2NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
David WarsofskyCanucks (Van)D331990-05-30No174 Lbs5 ft8NoNoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Dennis GilbertCanucks (Van)D271996-10-30No216 Lbs6 ft3NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Emile PoirierCanucks (Van)LW281994-12-14No196 Lbs6 ft2NoNoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Geoff PlattCanucks (Van)C381985-07-10No175 Lbs5 ft9NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Isaac RatcliffeCanucks (Van)LW241999-02-15No225 Lbs6 ft6NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Ivan TeleginCanucks (Van)C311992-02-28No198 Lbs6 ft3NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Jeremy SmithCanucks (Van)G341989-04-13No170 Lbs6 ft1NoNoNoNo3Pro & Farm1,350,000$0$0$No1,350,000$1,350,000$Lien
Joe MorrowCanucks (Van)D301992-12-09No199 Lbs6 ft0NoNoNoNo1Pro & Farm1,300,000$0$0$NoLien
Josh ArchibaldCanucks (Van)RW311992-10-06No176 Lbs5 ft10NoNoNoNo1Pro & Farm1,300,000$0$0$NoLien
Justin PetersCanucks (Van)G371986-08-30No210 Lbs6 ft1NoNoNoNo1Pro & Farm650,000$0$0$NoLien
Justin PoggeCanucks (Van)G371986-04-22No205 Lbs6 ft3NoNoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$Lien
Kasper BjorkqvistCanucks (Van)RW261997-07-10No198 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Matej StranskyCanucks (Van)RW301993-07-11No210 Lbs6 ft3NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Matt FilipeCanucks (Van)C261997-01-31No196 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Miles GendronCanucks (Van)D271996-06-28No181 Lbs6 ft2NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Nicolas MelocheCanucks (Van)D261997-07-18No204 Lbs6 ft3NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Niklas TikkinenCanucks (Van)D291994-06-01No185 Lbs5 ft11NoNoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Ryan PoehlingCanucks (Van)C241999-01-03Yes196 Lbs6 ft2NoNoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Sergey ZborovskiyCanucks (Van)D261997-02-21No209 Lbs6 ft4NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2729.89196 Lbs6 ft11.85975,926$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Isaac RatcliffeRyan PoehlingBrendan Woods35014
2Connor DewarIvan TeleginJosh Archibald33023
3Artem ArtemovMatt FilipeKasper Bjorkqvist27131
4Emile PoirierCurtis ValkChris Brown5131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowNicolas Meloche30131
2Sergey ZborovskiyDennis Gilbert30131
3David WarsofskyMiles Gendron30131
4Joe MorrowDennis Gilbert10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan PoehlingMatt FilipeBrendan Woods50104
2Connor DewarIvan TeleginJosh Archibald50104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowDennis Gilbert50104
2David WarsofskyNicolas Meloche50104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brendan WoodsEmile 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
2Brendan Woods50140Sergey ZborovskiyDavid Warsofsky50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt FilipeIsaac Ratcliffe50122
2Josh ArchibaldBrendan Woods50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowDennis Gilbert50122
2Nicolas MelocheDavid Warsofsky50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Isaac RatcliffeRyan PoehlingBrendan WoodsJoe MorrowDennis Gilbert
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Isaac RatcliffeMatt FilipeBrendan WoodsJoe MorrowDennis Gilbert
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Filipe, Brendan Woods, Josh ArchibaldBrendan Woods, Kasper BjorkqvistMatt Filipe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Morrow, David Warsofsky, Nicolas MelocheDennis GilbertJoe Morrow, David Warsofsky
Tirs de pénalité
Isaac Ratcliffe, Josh Archibald, Brendan Woods, Matt Filipe, Ryan Poehling
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
1Admirals22000000835220000008350000000000041.000815230064534885746744047030541728365240.00%7185.71%1821158151.93%778154950.23%39276851.04%10637251019340587293
2Barracuda11000000532110000005320000000000021.000510150064534882546744047030195615200.00%30100.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
3Condors4310000016133220000009542110000078-160.7501630460064534881174674404703011334387415533.33%19289.47%0821158151.93%778154950.23%39276851.04%10637251019340587293
4Eagles321000001413100000000000321000001413140.66714243800645348884467440470301013032549333.33%15660.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
5Firebirds210000101165110000004041000001076141.00011193001645348872467440470307519224010220.00%70100.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
6Griffins403000011324-1120200000512-720100001812-410.1251325380064534881314674404703014039429515320.00%20575.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
7Gulls2110000034-11010000013-21100000021120.500347006453488454674404703044131445500.00%7271.43%0821158151.93%778154950.23%39276851.04%10637251019340587293
8Icehogs2200000010282200000010280000000000041.0001018280164534887346744047030461113399222.22%40100.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
9Iowa Wild321000001091220000008531010000024-240.6671019291064534889646744047030963028629333.33%140100.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
10Islanders11000000431000000000001100000043121.00047110064534884746744047030291018143133.33%40100.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
11Marlies11000000532110000005320000000000021.0005101500645348829467440470303214618300.00%30100.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
12Monsters4310000015123220000008532110000077060.7501527420064534881154674404703012427319117635.29%12375.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
13PenguinsF11000000541000000000001100000054121.00059140064534884046744047030278015300.00%000.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
14Phantoms11000000606000000000001100000060621.000691501645348836467440470301882164250.00%10100.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
15Reign21000010862110000004311000001043141.000813210064534886746744047030581112366116.67%6183.33%0821158151.93%778154950.23%39276851.04%10637251019340587293
16Rocket11000000514110000005140000000000021.00059140064534884046744047030196215200.00%110.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
17Silver Knights30300000713-620200000510-51010000023-100.0007111800645348810446744047030832331596116.67%12375.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
18StarsF11000000211110000002110000000000021.000235006453488264674404703031111017200.00%4175.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
19Thunderbirds310000021112-11000000134-12100000188040.66711223300645348895467440470307525205216318.75%10370.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
20Wolf Pack1000000156-1000000000001000000156-110.5005712006453488254674404703039112720300.00%6266.67%0821158151.93%778154950.23%39276851.04%10637251019340587293
21Wolves1010000023-1000000000001010000023-100.0002460064534883446744047030226821300.00%30100.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
22Wranglers11000000211000000000001100000021121.0002350064534882646744047030229820300.00%40100.00%0821158151.93%778154950.23%39276851.04%10637251019340587293
Total44261200024167142252216500001826022221070002385823600.68216729846513645348813844674404703012673673988541503422.67%1623081.48%1821158151.93%778154950.23%39276851.04%10637251019340587293
_Since Last GM Reset44261200024167142252216500001826022221070002385823600.68216729846513645348813844674404703012673673988541503422.67%1623081.48%1821158151.93%778154950.23%39276851.04%10637251019340587293
_Vs Conference35201100013124116819135000016856121676000125660-4450.64312422434811645348810614674404703010062853136951192924.37%1372780.29%1821158151.93%778154950.23%39276851.04%10637251019340587293
_Vs Division1586000005246684200000282447440000024222160.53352901420164534884564674404703041411413128947919.15%58886.21%0821158151.93%778154950.23%39276851.04%10637251019340587293

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4460W31672984651384126736739885413
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4426120024167142
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2216500018260
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2210700238582
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1503422.67%1623081.48%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
467440470306453488
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
821158151.93%778154950.23%39276851.04%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10637251019340587293


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 - 2023-11-28708Canucks-Silver Knights-
99 - 2023-12-01725Phantoms-Canucks-
101 - 2023-12-03743Canucks-Moose-
103 - 2023-12-05754Canucks-Bears-
104 - 2023-12-06763Thunderbirds-Canucks-
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
Assistance33,76621,131
Assistance PCT76.74%96.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
19 2495 - 83.18% 98,783$2,173,226$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,334,123$ 2,635,000$ 2,635,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,281,954$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,876,877$ 87 15,027$ 1,307,349$




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