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Connexion

Canucks
GP: 80 | W: 44 | L: 31 | OTL: 5 | P: 93
GF: 363 | GA: 317 | PP%: 23.93% | PK%: 76.95%
DG: Patrick Tremblay | Morale : 51 | Moyenne d’équipe : 65
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Centre de jeu
Rocket
38-30-12, 88pts
6
FINAL
3 Canucks
44-31-5, 93pts
Team Stats
L1SéquenceL2
24-12-4Fiche domicile24-15-1
14-18-8Fiche domicile20-16-4
5-3-2Derniers 10 matchs2-7-1
4.38Buts par match 4.54
4.55Buts contre par match 3.96
19.63%Pourcentage en avantage numérique23.93%
79.14%Pourcentage en désavantage numérique76.95%
Wolfpack
42-26-12, 96pts
5
FINAL
3 Canucks
44-31-5, 93pts
Team Stats
W2SéquenceL2
25-11-4Fiche domicile24-15-1
17-15-8Fiche domicile20-16-4
6-4-0Derniers 10 matchs2-7-1
4.01Buts par match 4.54
3.99Buts contre par match 3.96
21.82%Pourcentage en avantage numérique23.93%
79.43%Pourcentage en désavantage numérique76.95%
Meneurs d'équipe
Buts
Daniel Zaar
46
Passes
Nicolas Petan
84
Points
Nicolas Petan
124
Plus/Moins
Phil Di Giuseppe
32
Victoires
Thatcher Demko
39
Pourcentage d’arrêts
Casey DeSmith
0.881

Statistiques d’équipe
Buts pour
363
4.54 GFG
Tirs pour
2616
32.70 Avg
Pourcentage en avantage numérique
23.9%
73 GF
Début de zone offensive
35.2%
Buts contre
317
3.96 GAA
Tirs contre
2610
32.63 Avg
Pourcentage en désavantage numérique
76.9%%
77 GA
Début de la zone défensive
37.8%
Informations de l'équipe

Directeur généralPatrick Tremblay
EntraîneurLanne MacDonald
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,803
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 250
Espoirs0


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
1Daniel Zaar (R)X100.007325817975797382757671678259553939730244950,000$
2Curtis Lazar (R)X100.007039837673737276737479597154484749710231995,000$
3Nicolas Petan (R)X100.006836837374777076848072616655504755710232900,000$
4Ryan Lomberg (R)X100.008645727587597775627475686058564674710244950,000$
5Jean-Sebastien Dea (R)X100.006744797569777370736777647355535264700244750,000$
6Juho Lammikko (R)X100.007635737874657478667273646146474461690222800,000$
7Phil Di GiuseppeX100.006832747868747777696474576853533671680251800,000$
8Trevor Moore (R)X100.007250807262747068777073597549505437680232850,000$
9Mackenzie MacEachern (R)X100.006330747460716576696671597750503442670242700,000$
10Tyler GraovacX100.006333626956646472716467615951492949640252600,000$
11William Lockwood (R)X100.005828707458635475716364567743435467630204750,000$
12Jay O'Brien (R)X100.004335726554664063515954517143436019560192500,000$
13Scott HarringtonX100.007333767377777272597761796767533746730251900,000$
14Juuso RiikolaX100.006753747780677270577767726572563460720251900,000$
15Dan Renouf (R)X100.006648807169696567567762696458524346680242800,000$
16Adam Ollas-Mattsson (R)X100.006338727372686766487157765050474858670224825,000$
17William Lagesson (R)X100.006227798063616672377356715546464844670222700,000$
18Daniil Miromanov (R)X100.006825745867706170356472615447486071640211500,000$
Rayé
1Charles Hudon (R)X100.006741796573716766756372586646463321660242750,000$
2Michael Joly (R)X100.006420787066726959727569596647484127650233600,000$
3Anton ZlobinX100.006426706964635867576973485848512719630251600,000$
4Lane Pederson (R)X100.006953666870696562627261526345435271630211500,000$
5Rasmus Asplund (R)X100.005928666751664974576466517943434520610212600,000$
6Jaret Anderson-Dolan (R)X100.006642555857426459495562494241416119550191500,000$
7Brandon Saigeon (R)X100.005334695565475046445557366344455320510202500,000$
8Guillaume Brisebois (R)X100.006748786470626261436550695443435028640211650,000$
9Jack Rathbone (R)X100.006234704446576461325559564641415520550191500,000$
10Michael Kesselring (R)X100.003625666751455459176648483540407620520182500,000$
MOYENNE D’ÉQUIPE100.00653673706666656959686660635048474365
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
1Thatcher Demko99.00766879626682826864837458484973720223900,000$
2Casey DeSmith100.00816472778063637467618255594572690271800,000$
Rayé
1Marek Langhamer100.00675563687461616662557646463520630241600,000$
2Michael Dipietro100.00546269485163694654684841415820570191500,000$
MOYENNE D’ÉQUIPE99.7570627164686769646267705049474665
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lanne MacDonald75586370346237USA721325,000$


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
1Nicolas PetanCanucks (Van)C74408412462951101702397116516.74%35168622.801526414723502272076154.43%26733733031.4714001675
2Daniel ZaarCanucks (Van)RW604655101-930091882958917115.59%32130121.701222345019600021016345.95%3096515111.55360001046
3Ryan LombergCanucks (Van)LW7846539929601421092709217117.04%46180323.1313213451251112142424347.37%1904437111.10370003310
4Juho LammikkoCanucks (Van)RW8035397423480125871966112317.86%21110413.81459101040000334147.83%464416001.3412000524
5Curtis LazarCanucks (Van)RW612544691420106632086112612.02%18109818.0161016291700002562148.18%1105221001.2635000165
6Jean-Sebastien DeaCanucks (Van)C7524446874751211241555110215.48%27129617.2831215171960009972152.25%9573019001.0512100323
7Phil Di GiuseppeCanucks (Van)LW8038276532480123792017212718.91%33129916.257310161801015744253.33%603517001.0000000380
8Juuso RiikolaCanucks (Van)D7994049693512612713657536.62%112198225.096511232470004234100%04565000.4901001032
9Scott HarringtonCanucks (Van)D693404326601141359846433.06%125189727.503811212550005233000%03878000.4500000001
10Tyler GraovacCanucks (Van)C7314193312360906273255319.18%1280611.051012290000130047.87%399117000.8211000012
11Trevor MooreCanucks (Van)LW6619143371008142112277016.96%1275411.43000134000152048.15%27288000.8801000232
12Mackenzie MacEachernCanucks (Van)LW61171532101005034118307214.41%195889.65000030003562155.00%20199011.0933000112
13William LockwoodCanucks (Van)RW8018102810160372683254621.69%95006.2600014000003160.00%5154011.1200000111
14Lane PedersonCanucks (Van)C80516212134079405316369.43%107259.07000030003611043.80%25885000.5800000012
15Dan RenoufCanucks (Van)D6202020814058846520210%57131421.2003351530000160000%01642000.3000000000
16Adam Ollas-MattssonCanucks (Van)D73217193142061845520273.64%75132618.1711251380001140000%01039000.2900000000
17William LagessonCanucks (Van)D68315182310038744516196.67%56101914.990221550003106000%01138000.3500000000
18Charles HudonCanucks (Van)LW436814920271736172316.67%33367.84101150002511068.75%16107000.8300000102
19Michael JolyCanucks (Van)RW476814-280341860194010.00%134589.7600006000071077.78%974000.6100000011
20Daniil MiromanovCanucks (Van)D80010101624042464313110%317959.9400009000022000%0824000.2500000010
21Guillaume BriseboisCanucks (Van)D490442100173810440%2551510.5100004000033000%0122000.1600000000
22Rasmus AsplundCanucks (Van)C24044-160877360%21014.2500000000080030.00%3011000.7800000000
23Anton ZlobinCanucks (Van)RW18011120123120%0492.7700000000080050.00%220000.4000000000
24Jack RathboneCanucks (Van)D10011700121010%4545.490000000002000%001000.3600000000
25Jaret Anderson-DolanCanucks (Van)C8000000000000%000.010000000000000%00000000000000
26Jay O'BrienCanucks (Van)C15000000110000%070.5300000000060016.67%60000000000000
27Michael KesselringCanucks (Van)D3000300000000%0165.580000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne151635658894424068315168315592562836151213.90%7772284615.07721181902802289235611967391451.87%5117537512270.831632102364448
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
1Thatcher DemkoCanucks (Van)72392530.8793.9340170026321721005200.75012717221
2Casey DeSmithCanucks (Van)195620.8813.838144052438218000.53315971000
Statistiques d’équipe totales ou en moyenne91443150.8793.914832403152610122320278078221


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Adam Ollas-MattssonCanucks (Van)D221996-01-01Yes215 Lbs6 ft5NoNoN/ANoNo4FalseFalsePro & Farm825,000$4,104$0$0$No825,000$825,000$825,000$------NoNoNo------
Anton ZlobinCanucks (Van)RW251993-01-01No180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm600,000$2,985$0$0$No------------------
Brandon SaigeonCanucks (Van)C201998-01-01Yes200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Casey DeSmithCanucks (Van)G271991-01-01No181 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Charles HudonCanucks (Van)LW241994-01-01Yes170 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$3,731$0$0$No750,000$--------No--------
Curtis LazarCanucks (Van)RW231995-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm995,000$4,950$0$0$No------------------
Dan RenoufCanucks (Van)D241994-01-01Yes198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No800,000$--------No--------
Daniel ZaarCanucks (Van)RW241994-01-01Yes167 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm950,000$4,726$0$0$No1,200,000$1,200,000$1,500,000$------NoNoNo------
Daniil MiromanovCanucks (Van)D211997-01-01Yes202 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Guillaume BriseboisCanucks (Van)D211997-01-01Yes175 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Jack RathboneCanucks (Van)D191999-01-01Yes177 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jaret Anderson-DolanCanucks (Van)C191999-01-01Yes200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jay O'BrienCanucks (Van)C191999-01-01Yes184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Jean-Sebastien DeaCanucks (Van)C241994-01-01Yes168 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm750,000$3,731$0$0$No900,000$1,100,000$1,400,000$------NoNoNo------
Juho LammikkoCanucks (Van)RW221996-01-01Yes191 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No900,000$--------No--------
Juuso RiikolaCanucks (Van)D251993-01-01No189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Lane PedersonCanucks (Van)C211997-01-01Yes192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Mackenzie MacEachernCanucks (Van)LW241994-01-01Yes180 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$3,483$0$0$No700,000$--------No--------
Marek LanghamerCanucks (Van)G241994-01-01No181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm600,000$2,985$0$0$No------------------
Michael DipietroCanucks (Van)G191999-01-01No200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Michael JolyCanucks (Van)RW231995-01-01Yes185 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm600,000$2,985$0$0$No800,000$800,000$-------NoNo-------
Michael KesselringCanucks (Van)D182000-01-01Yes190 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Nicolas PetanCanucks (Van)C231995-01-01Yes185 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$No900,000$--------No--------
Phil Di GiuseppeCanucks (Van)LW251993-01-01No197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Rasmus AsplundCanucks (Van)C211997-01-01Yes190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No600,000$--------No--------
Ryan LombergCanucks (Van)LW241994-01-01Yes196 Lbs5 ft9NoNoN/ANoNo4FalseFalsePro & Farm950,000$4,726$0$0$No950,000$1,200,000$1,500,000$------NoNoNo------
Scott HarringtonCanucks (Van)D251993-01-01No201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Thatcher DemkoCanucks (Van)G221996-01-01No192 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm900,000$4,478$0$0$No900,000$1,100,000$-------NoNo-------
Trevor MooreCanucks (Van)LW231995-01-01Yes174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm850,000$4,229$0$0$No850,000$--------No--------
Tyler GraovacCanucks (Van)C251993-01-01No212 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No600,000$--------No--------
William LagessonCanucks (Van)D221996-01-01Yes207 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$3,483$0$0$No700,000$--------No--------
William LockwoodCanucks (Van)RW201998-01-01Yes172 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm750,000$3,731$0$0$No750,000$750,000$750,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3222.44189 Lbs6 ft11.97708,438$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan LombergNicolas PetanDaniel Zaar62005
2Phil Di GiuseppeJean-Sebastien DeaCurtis Lazar26122
3Trevor MooreTyler GraovacJuho Lammikko8122
4Mackenzie MacEachernJay O'BrienWilliam Lockwood4122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonJuuso Riikola57122
2Dan RenoufAdam Ollas-Mattsson28122
3William LagessonDaniil Miromanov10122
4Scott HarringtonJuuso Riikola5122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan LombergNicolas PetanDaniel Zaar70005
2Phil Di GiuseppeJean-Sebastien DeaCurtis Lazar30005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonJuuso Riikola60122
2Dan RenoufAdam Ollas-Mattsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas PetanRyan Lomberg60122
2Jean-Sebastien DeaPhil Di Giuseppe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonJuuso Riikola60122
2Dan RenoufAdam Ollas-Mattsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nicolas Petan60122Scott HarringtonJuuso Riikola60122
2Jean-Sebastien Dea40122Dan RenoufAdam Ollas-Mattsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas PetanRyan Lomberg60122
2Jean-Sebastien DeaPhil Di Giuseppe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonJuuso Riikola60122
2Dan RenoufAdam Ollas-Mattsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergNicolas PetanDaniel ZaarScott HarringtonJuuso Riikola
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergNicolas PetanDaniel ZaarScott HarringtonJuuso Riikola
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jean-Sebastien Dea, Juho Lammikko, Phil Di GiuseppeJean-Sebastien Dea, Juho LammikkoJean-Sebastien Dea
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Ollas-Mattsson, William Lagesson, Daniil MiromanovAdam Ollas-MattssonAdam Ollas-Mattsson, William Lagesson
Tirs de pénalité
Daniel Zaar, Curtis Lazar, Ryan Lomberg, Nicolas Petan, Jean-Sebastien Dea
Gardien
#1 : Thatcher Demko, #2 : Casey DeSmith, #3 : 0
Lignes d’attaque personnalisées en prolongation
Daniel Zaar, Curtis Lazar, Ryan Lomberg, Nicolas Petan, Jean-Sebastien Dea, Juho Lammikko, Juho Lammikko, Phil Di Giuseppe, Trevor Moore, Mackenzie MacEachern, Tyler Graovac
Lignes de défense personnalisées en prolongation
Scott Harrington, Juuso Riikola, Dan Renouf, Adam Ollas-Mattsson, William Lagesson


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
1Admirals3300000016792200000011471100000053261.000162844001101311161598893885824429530265310220.00%13192.31%0916179051.17%1010192552.47%728137253.06%171896516877431435714
2Americans2000011010100100000105411000010056-130.75010172700110131116157389388582442651918427114.29%9455.56%0916179051.17%1010192552.47%728137253.06%171896516877431435714
3Barracuda21100000981110000005321010000045-120.5009152400110131116157889388582442651618398225.00%9455.56%0916179051.17%1010192552.47%728137253.06%171896516877431435714
4Bears32100000151411100000064221100000910-140.667152338001101311161510489388582442972628656233.33%14564.29%0916179051.17%1010192552.47%728137253.06%171896516877431435714
5Checkers4300001023131022000000136721000010107381.00023376000110131116151258938858244213540269214214.29%13284.62%0916179051.17%1010192552.47%728137253.06%171896516877431435714
6Comets312000001113-2211000006601010000057-220.33311193000110131116151078938858244295363064500.00%15286.67%0916179051.17%1010192552.47%728137253.06%171896516877431435714
7Condors2200000016511110000008261100000083541.00016264200110131116156589388582442632219489666.67%9277.78%0916179051.17%1010192552.47%728137253.06%171896516877431435714
8Crunch320010002171410001000431220000001741361.000213455001101311161510289388582442962958558225.00%13192.31%0916179051.17%1010192552.47%728137253.06%171896516877431435714
9Eagles53200000171342110000054132100000129360.600172744001101311161513989388582442157674410520840.00%22481.82%0916179051.17%1010192552.47%728137253.06%171896516877431435714
10Griffins20200000713-61010000025-31010000058-300.000711180011013111615638938858244260181846800.00%9455.56%0916179051.17%1010192552.47%728137253.06%171896516877431435714
11Icehogs211000008711010000013-21100000074320.5008122000110131116154989388582442772024396350.00%120100.00%0916179051.17%1010192552.47%728137253.06%171896516877431435714
12Islander312000001011-11100000031220200000710-320.333101828001101311161583893885824429724106517423.53%5180.00%0916179051.17%1010192552.47%728137253.06%171896516877431435714
13Little Stars741000203425942100010161333200001018126120.8573457910011013111615254893885824422409864145331030.30%33875.76%0916179051.17%1010192552.47%728137253.06%171896516877431435714
14Marlies41100101131301100000052330100101811-340.50013203300110131116151268938858244213046221011317.69%11463.64%0916179051.17%1010192552.47%728137253.06%171896516877431435714
15Moose20200000711-41010000025-31010000056-100.000710170011013111615558938858244277204462150.00%2150.00%0916179051.17%1010192552.47%728137253.06%171896516877431435714
16Penguins4220000019190211000001011-12110000098140.50019294800110131116151348938858244212140309215426.67%16287.50%1916179051.17%1010192552.47%728137253.06%171896516877431435714
17Phantoms211000009721010000034-11100000063320.5009162500110131116155989388582442592026507342.86%13653.85%0916179051.17%1010192552.47%728137253.06%171896516877431435714
18Punishers64100001262333210000015132320000011110190.750264369001101311161520289388582442192575213225624.00%26676.92%0916179051.17%1010192552.47%728137253.06%171896516877431435714
19Reign21100000770110000004221010000035-220.5007132000110131116156889388582442641916411000.00%8275.00%0916179051.17%1010192552.47%728137253.06%171896516877431435714
20Rocket312000001115-420200000410-61100000075220.33311203100110131116159789388582442912916671815.56%8450.00%0916179051.17%1010192552.47%728137253.06%171896516877431435714
21Senators2110000014113110000008441010000067-120.500142842001101311161578893885824426533203910550.00%10370.00%0916179051.17%1010192552.47%728137253.06%171896516877431435714
22Silver Knights31200000141222110000010731010000045-120.333142539001101311161595893885824428522207313215.38%10280.00%1916179051.17%1010192552.47%728137253.06%171896516877431435714
23Thunderbirds623001002528-33110010013130312000001215-350.417254368001101311161519689388582442196616612527622.22%33681.82%0916179051.17%1010192552.47%728137253.06%171896516877431435714
24Wolfpack303000001016-620200000610-41010000046-200.000101727001101311161597893885824421122520529111.11%10280.00%0916179051.17%1010192552.47%728137253.06%171896516877431435714
25Wranglers210000101192110000004311000001076141.00011193000110131116156989388582442761822435120.00%11190.91%0916179051.17%1010192552.47%728137253.06%171896516877431435714
Total803831013523633174640211501120169142274017160023219417519930.5813636079700011013111615261689388582442261083569717193057323.93%3347776.95%2916179051.17%1010192552.47%728137253.06%171896516877431435714
_Since Last GM Reset803831013523633174640211501120169142274017160023219417519930.5813636079700011013111615261689388582442261083569717193057323.93%3347776.95%2916179051.17%1010192552.47%728137253.06%171896516877431435714
_Vs Conference5025190113122519431251390111010791162512100002111810315600.6002253725970011013111615163889388582442162352544810651924724.48%2104180.48%2916179051.17%1010192552.47%728137253.06%171896516877431435714
_Vs Division191050012185769105300110443959520001141374260.68485143228001101311161565289388582442628216182402852225.88%922078.26%0916179051.17%1010192552.47%728137253.06%171896516877431435714

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8093L236360797026162610835697171900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8038311352363317
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4021151120169142
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017160232194175
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3057323.93%3347776.95%2
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
8938858244211013111615
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
916179051.17%1010192552.47%728137253.06%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171896516877431435714


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
25Little Stars6Canucks5LSommaire du match
424Canucks6Little Stars5WXXSommaire du match
527Canucks2Marlies3LXSommaire du match
842Punishers8Canucks6LR1Sommaire du match
1057Canucks5Eagles3WSommaire du match
1267Little Stars3Canucks4WXXSommaire du match
1689Canucks3Thunderbirds5LR1Sommaire du match
1897Canucks5Punishers4WR1Sommaire du match
19103Thunderbirds4Canucks3LXSommaire du match
23123Silver Knights2Canucks7WSommaire du match
26135Canucks3Islander5LSommaire du match
28147Penguins4Canucks7WSommaire du match
31166Canucks2Thunderbirds5LR1Sommaire du match
33175Eagles1Canucks3WSommaire du match
36192Comets3Canucks5WSommaire du match
38203Canucks3Punishers2WR1Sommaire du match
41217Canucks4Wolfpack6LSommaire du match
43224Canucks5Comets7LSommaire du match
44233Americans4Canucks5WXXSommaire du match
47249Eagles3Canucks2LSommaire du match
53270Bears4Canucks6WSommaire du match
55284Canucks5Bears3WSommaire du match
57293Canucks3Marlies4LXXSommaire du match
59301Thunderbirds4Canucks3LR1Sommaire du match
61311Canucks7Wranglers6WXXSommaire du match
63326Barracuda3Canucks5WSommaire du match
66345Canucks7Thunderbirds5WR1Sommaire du match
67352Moose5Canucks2LSommaire du match
70368Canucks7Rocket5WSommaire du match
72377Condors2Canucks8WSommaire du match
74391Canucks5Moose6LSommaire du match
76397Canucks4Islander5LSommaire du match
78408Canucks6Phantoms3WSommaire du match
79413Reign2Canucks4WSommaire du match
82427Canucks3Marlies4LSommaire du match
84438Canucks7Icehogs4WSommaire du match
85442Silver Knights5Canucks3LSommaire du match
88463Canucks4Silver Knights5LSommaire du match
89468Little Stars1Canucks2WSommaire du match
94490Thunderbirds5Canucks7WR1Sommaire du match
96502Canucks3Punishers4LXXR1Sommaire du match
98513Canucks6Senators7LSommaire du match
99519Punishers4Canucks5WR1Sommaire du match
102538Canucks4Bears7LSommaire du match
104544Marlies2Canucks5WSommaire du match
107561Canucks4Barracuda5LSommaire du match
108570Penguins7Canucks3LSommaire du match
113591Icehogs3Canucks1LSommaire du match
115605Canucks6Checkers5WXXSommaire du match
117615Canucks5Griffins8LSommaire du match
118621Checkers4Canucks8WSommaire du match
122644Phantoms4Canucks3LSommaire du match
124653Canucks5Admirals3WSommaire du match
125662Canucks4Checkers2WSommaire du match
127674Crunch3Canucks4WXSommaire du match
131695Canucks8Condors3WSommaire du match
132701Little Stars3Canucks5WSommaire du match
136724Griffins5Canucks2LSommaire du match
138729Canucks2Eagles4LSommaire du match
141750Wranglers3Canucks4WSommaire du match
143761Canucks7Crunch1WSommaire du match
145776Admirals2Canucks7WSommaire du match
148795Canucks4Little Stars2WSommaire du match
149803Punishers1Canucks4WR1Sommaire du match
152815Canucks8Little Stars5WSommaire du match
155827Islander1Canucks3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159848Senators4Canucks8WSommaire du match
162861Canucks5Eagles2WSommaire du match
165875Checkers2Canucks5WSommaire du match
168888Canucks10Crunch3WSommaire du match
170901Canucks6Penguins4WSommaire du match
171906Admirals2Canucks4WSommaire du match
175926Canucks3Penguins4LSommaire du match
176935Comets3Canucks1LSommaire du match
180953Rocket4Canucks1LSommaire du match
182964Canucks3Reign5LSommaire du match
184981Wolfpack5Canucks3LSommaire du match
187994Canucks5Americans6LXSommaire du match
1911012Rocket6Canucks3LSommaire du match
1991038Wolfpack5Canucks3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance74,43837,679
Assistance PCT93.05%94.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2803 - 93.43% 176,343$7,053,709$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,596,043$ 2,267,000$ 2,162,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,279$ 2,259,985$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 12,896$ 12,896$




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