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Connexion

Canucks
GP: 36 | W: 13 | L: 20 | OTL: 3 | P: 29
GF: 87 | GA: 101 | PP%: 17.60% | PK%: 80.79%
DG: Sylvain Auger | Morale : 85 | Moyenne d’équipe : 67

Centre de jeu
Wranglers
18-15-2, 38pts
2
4 Canucks
13-20-3, 29pts
Team Stats
L1SéquenceL1
7-8-2Fiche domicile9-9-0
11-7-0Fiche domicile4-11-3
5-4-1Derniers 10 matchs3-7-0
2.69Buts par match 2.42
2.97Buts contre par match 2.81
18.30%Pourcentage en avantage numérique17.60%
83.89%Pourcentage en désavantage numérique80.79%
Canucks
13-20-3, 29pts
2
5 Reign
21-12-2, 44pts
Team Stats
L1SéquenceW1
9-9-0Fiche domicile9-7-2
4-11-3Fiche domicile12-5-0
3-7-0Derniers 10 matchs5-5-0
2.42Buts par match 3.06
2.81Buts contre par match 2.80
17.60%Pourcentage en avantage numérique16.79%
80.79%Pourcentage en désavantage numérique78.40%
Meneurs d'équipe
Jonatan BerggrenButs
Jonatan Berggren
17
Logan BrownPasses
Logan Brown
21
Jonatan BerggrenPoints
Jonatan Berggren
29
Jakub DvorakPlus/Moins
Jakub Dvorak
5
Drew CommessoVictoires
Drew Commesso
7
Akira SchmidPourcentage d’arrêts
Akira Schmid
0.918

Statistiques d’équipe
Buts pour
87
2.42 GFG
Tirs pour
974
27.06 Avg
Pourcentage en avantage numérique
17.6%
22 GF
Début de zone offensive
40.4%
Buts contre
101
2.81 GAA
Tirs contre
1046
29.06 Avg
Pourcentage en désavantage numérique
80.8%%
29 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralSylvain Auger
DivisionPacific
ConférenceWest Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison3,000


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 50
Espoirs39


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
1Logan Brown0XX100.00863086769681656580686570646769079690282775,000$
2Jonatan Berggren (R)0XX100.00653093777389867270697064706567079690251825,000$
3Juuso Parssinen0XX100.00833087728682846873706466696467079690251775,000$
4Sam Colangelo (R)0X100.00733091828387876866647263716465079690242925,000$
5Filip Zadina0XX100.00663092807282897053627061706668079680261775,000$
6Joshua Roy (R)0XXX100.00653094827388836561657063706265079680222835,000$
7Stephen Halliday (R)0XX100.00803080798681866278655767606355079670242950,000$
8Gemel Smith0XXX100.00723063647677746276645862607173079640321550,000$
9Sampo Ranta (R)0XX100.00733093707677796450505573556465079640261550,000$
10Tyler Madden (R)0X100.00713091766381865974596061606668079640261775,000$
11Brayden Tracey (R)0XX100.00733083717073825861595762606365079630251550,000$
12Jacob Perreault (R)0X100.00723068647174765660585560556365080600241775,000$
13Artyom Levshunov (R)0X100.00763076798280856730654773506064079700203975,000$
14Andreas Englund0X100.00873063708082835830454879456971079690301775,000$
15Adam Engstrom (R)0X100.00673083767981826230635574506365079690223896,667$
16Helge Grans (R)0X100.00793081698780846230534571506365079670241894,167$
17William Trudeau (R)0X100.00763077747475865930565573506365079670231856,667$
18Jakub Dvorak (R)0X100.00813082719072785430444073456062077650214870,000$
Rayé
1Michael Milne (R)0XX100.00713079726982795750506161606364063620231861,667$
2Jayden Grubbe (R)0X100.00773079647675835263494562506264063590232867,500$
3Charles-Alexis Legault (R)0X100.00773076738978815730474371506264063660223915,833$
4Corey Schueneman0X100.00653088677281826030535170507072068650301775,000$
MOYENNE D’ÉQUIPE100.0074308273788082625358576757646607666
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
1Akira Schmid (R)0100.0082868284818082818082816563080780262775,000$
2Drew Commesso (R)0100.0077868277767577767577766359080740232925,000$
Rayé
1Olivier Rodrigue (R)0100.0076868270757476757476756563081730261775,000$
MOYENNE D’ÉQUIPE100.007886827777767877767877646208075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Jonatan BerggrenCanucks (VAN)LW/RW36171229420836116348314.66%663617.6736928100000001053.85%3900100.9112000330
2Logan BrownCanucks (VAN)C/LW3672128244086598627658.14%264617.9715615100000011154.66%77200000.8700000131
3Joshua RoyCanucks (VAN)C/LW/RW36151227-5201037113456613.27%366418.4535826110000003243.18%4400000.8101000411
4Juuso ParssinenCanucks (VAN)C/LW3661622-224085408716596.90%765118.1124621110000001046.29%52500000.6700000101
5William TrudeauCanucks (VAN)D3681119-3160172544123018.18%4975320.93831125940002121110%000000.5000000111
6Artyom LevshunovCanucks (VAN)D3611718-438055344216192.38%3069419.291452911300005000%000000.5200000101
7Sam ColangeloCanucks (VAN)RW36891704034398830819.09%364017.810441896000002140.91%4400000.5302000113
8Filip ZadinaCanucks (VAN)LW/RW36671322010329336746.45%263717.700001100041230041.03%3900000.4111000011
9Helge GransCanucks (VAN)D3621113-230055303211226.25%3978521.8122416940000113000%000000.3300000000
10Adam EngstromCanucks (VAN)D3611213316026333113183.23%5770819.67000031013121000%000000.3700000021
11Andreas EnglundCanucks (VAN)D36279-54607617235218.70%3359216.4700007000036100%000000.3000000011
12Tyler MaddenCanucks (VAN)C36268-1801943429254.76%745312.612351210001131212048.25%59900000.3511000000
13Stephen HallidayCanucks (VAN)C/LW36527-514025426320327.94%950814.130000000031230050.41%24400000.2800000001
14Gemel SmithCanucks (VAN)C/LW/RW36224-7802427276267.41%340911.37000070000180049.39%41300000.2000000000
15Jakub DvorakCanucks (VAN)D19044518032914580%1841221.70033654000056000%000000.1900000000
16Corey SchuenemanCanucks (VAN)D17033-78091711590%2238722.82000857011061000%000000.1500000000
17Sampo RantaCanucks (VAN)LW/RW36213-2401420259338.00%73519.770000000041230150.00%2400000.1700000010
18Brayden TraceyCanucks (VAN)C/LW36213-2801715174811.76%02266.3000000000000056.25%1600000.2600000000
19Jacob PerreaultCanucks (VAN)RW32000-4801886590%134310.7400000000000033.33%300000000000000
Statistiques d’équipe totales ou en moyenne64486154240-3330006205639603086888.96%2981050516.31223961205105412319103012649.70%278900100.4637000121412
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
1Drew CommessoCanucks (VAN)1971110.8943.04114500585480000.60051917100
2Akira SchmidCanucks (VAN)176920.9182.4010250141497011021719310
Statistiques d’équipe totales ou en moyenne36132030.9052.7421700199104501173636410


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam EngstromCanucks (VAN)D222003-11-17SWEYes193 Lbs6 ft2NoNoProspectNoNo32025-09-22FalseFalsePro & Farm896,667$37,361$0$0$No896,667$896,667$-------896,667$896,667$-------NoNo-------Lien / Lien NHL
Akira SchmidCanucks (VAN)G262000-05-12CHEYes205 Lbs6 ft5NoNoFree AgentNoNo22026-01-12FalseFalsePro & Farm775,000$32,292$0$0$No875,000$--------825,000$--------No--------Lien / Lien NHL
Andreas EnglundCanucks (VAN)D301996-01-21SWENo200 Lbs6 ft4NoNoFree AgentNoYes12024-12-02FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Artyom LevshunovCanucks (VAN)D202005-10-28BLRYes208 Lbs6 ft2NoNoProspectNoNo32025-09-22FalseFalsePro & Farm975,000$40,625$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien / Lien NHL
Brayden TraceyCanucks (VAN)C/LW252001-05-28CANYes186 Lbs6 ft0NoNoFree AgentNoNo12026-01-12FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Charles-Alexis LegaultCanucks (VAN)D222003-09-05CANYes220 Lbs6 ft4NoNoProspectNoNo32025-09-22FalseFalsePro & Farm915,833$38,160$0$0$No915,833$915,833$-------915,833$915,833$-------NoNo-------Lien / Lien NHL
Corey SchuenemanCanucks (VAN)D301995-09-02CANNo195 Lbs6 ft3NoNoFree AgentNoYes12024-09-25FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Drew CommessoCanucks (VAN)G232002-07-19USAYes180 Lbs6 ft2NoNoProspectNoNo22024-06-26FalseFalsePro & Farm925,000$38,542$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Filip ZadinaCanucks (VAN)LW/RW261999-11-27CZENo190 Lbs6 ft0NoNoFree AgentYesYes12026-04-08FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Gemel SmithCanucks (VAN)C/LW/RW321994-04-16CANNo203 Lbs5 ft11NoNoFree AgentNoYes12026-01-12FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Helge GransCanucks (VAN)D242002-05-10SWEYes205 Lbs6 ft4NoNoN/ANoNo12026-01-23FalseFalsePro & Farm894,167$37,257$0$0$No---------------------------Lien / Lien NHL
Jacob PerreaultCanucks (VAN)RW242002-04-15CANYes192 Lbs5 ft11NoNoFree AgentNoNo12026-01-12FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Jakub DvorakCanucks (VAN)D212005-05-25CZEYes203 Lbs6 ft5NoNoProspectNoNo42025-09-22FalseFalseFarm Only870,000$36,250$0$0$No840,000$840,000$840,000$------840,000$840,000$840,000$------NoNoNo------Lien / Lien NHL
Jayden GrubbeCanucks (VAN)C232003-01-12CANYes201 Lbs6 ft3NoNoProspectNoNo22024-06-26FalseFalsePro & Farm867,500$36,146$0$0$No867,500$--------867,500$--------No--------Lien / Lien NHL
Jonatan Berggren (contrat à 1 volet)Canucks (VAN)LW/RW252000-07-16SWEYes197 Lbs5 ft11NoNoFree Agent2024-06-30NoNo12026-01-12FalseFalsePro & Farm825,000$50,510$0$0$No---------------------------Lien / Lien NHL
Joshua RoyCanucks (VAN)C/LW/RW222003-08-06CANYes192 Lbs6 ft0NoNoProspectNoNo22024-06-26FalseFalsePro & Farm835,000$34,792$0$0$No835,000$--------835,000$--------No--------Lien / Lien NHL
Juuso ParssinenCanucks (VAN)C/LW252001-02-01FINNo212 Lbs6 ft3NoNoFree AgentNoNo12026-01-12FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Logan BrownCanucks (VAN)C/LW281998-03-05USANo229 Lbs6 ft7NoNoFree AgentYesYes22026-01-12FalseFalsePro & Farm775,000$32,292$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Michael MilneCanucks (VAN)LW/RW232002-09-21CANYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm861,667$35,903$0$0$No---------------------------Lien / Lien NHL
Olivier RodrigueCanucks (VAN)G262000-07-06CANYes158 Lbs6 ft1NoNoFree AgentNoNo12024-09-25FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Sam ColangeloCanucks (VAN)RW242001-12-26USAYes211 Lbs6 ft2NoNoProspectNoNo22025-09-22FalseFalsePro & Farm925,000$38,542$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Sampo RantaCanucks (VAN)LW/RW262000-05-31FINYes195 Lbs6 ft2NoNoFree AgentNoNo12026-01-12FalseFalseFarm Only550,000$22,917$0$0$No---------------------------Lien / Lien NHL
Stephen HallidayCanucks (VAN)C/LW242002-07-02CANYes212 Lbs6 ft4NoNoProspectNoNo22025-09-22FalseFalsePro & Farm950,000$39,583$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Tyler MaddenCanucks (VAN)C261999-11-09USAYes170 Lbs5 ft11NoNoFree AgentNoNo12026-01-12FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
William TrudeauCanucks (VAN)D232002-10-11CANYes197 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm856,667$35,694$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.80198 Lbs6 ft21.64808,900$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joshua RoyJuuso ParssinenSam Colangelo32014
2Jonatan BerggrenLogan BrownFilip Zadina32014
3Stephen HallidayGemel SmithJacob Perreault22221
4Brayden TraceyTyler MaddenSampo Ranta14140
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub DvorakArtyom Levshunov34122
2Helge GransAdam Engstrom34122
3Andreas EnglundWilliam Trudeau32230
4Andreas EnglundWilliam Trudeau0230
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joshua RoyTyler MaddenJuuso Parssinen60014
2Jonatan BerggrenLogan BrownSam Colangelo40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom LevshunovJakub Dvorak60014
2William TrudeauHelge Grans40032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Stephen HallidaySampo Ranta50050
2Tyler MaddenFilip Zadina50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William TrudeauHelge Grans50050
2Adam EngstromJakub Dvorak50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Stephen Halliday60050Jakub DvorakArtyom Levshunov50050
2Tyler Madden40050William TrudeauAdam Engstrom50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler MaddenJoshua Roy50122
2Logan BrownJonatan Berggren50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam EngstromArtyom Levshunov60122
2Andreas EnglundJakub Dvorak40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joshua RoyLogan BrownJuuso ParssinenArtyom LevshunovJakub Dvorak
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stephen HallidayLogan BrownSampo RantaHelge GransWilliam Trudeau
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Zadina, Jonatan Berggren, Joshua RoyTyler Madden, Joshua RoyStephen Halliday
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Trudeau, Helge Grans, Artyom LevshunovArtyom LevshunovHelge Grans, William Trudeau
Tirs de pénalité
Sam Colangelo, Jonatan Berggren, Tyler Madden, Joshua Roy, Filip Zadina
Gardien
#1 : Drew Commesso, #2 : Akira Schmid
Lignes d’attaque personnalisées en prolongation
Logan Brown, Joshua Roy, Tyler Madden, Sam Colangelo, Stephen Halliday, Juuso Parssinen, Jonatan Berggren, Gemel Smith, Filip Zadina, Brayden Tracey
Lignes de défense personnalisées en prolongation
Helge Grans, Adam Engstrom, Jakub Dvorak, Andreas Englund, William Trudeau


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
1Admirals1010000012-11010000012-10000000000000.000123003325274243362933361616104165120.00%2150.00%0566115249.13%603119850.33%26050251.79%848583873265454223
2Americans1000010034-1000000000001000010034-110.500358003325274203362933361633922111100.00%10100.00%0566115249.13%603119850.33%26050251.79%848583873265454223
3Barracuda21100000761110000004221010000034-120.500713200033252746033629333616612083112325.00%40100.00%0566115249.13%603119850.33%26050251.79%848583873265454223
4Bears1010000012-1000000000001010000012-100.0001230033252741833629333616221412203133.33%60100.00%0566115249.13%603119850.33%26050251.79%848583873265454223
5Bruins1010000012-1000000000001010000012-100.00012300332527426336293336162010624100.00%3166.67%0566115249.13%603119850.33%26050251.79%848583873265454223
6Checkers1010000024-2000000000001010000024-200.00023500332527426336293336163311417200.00%2150.00%0566115249.13%603119850.33%26050251.79%848583873265454223
7Comets1010000014-31010000014-30000000000000.00011200332527427336293336162991015300.00%50100.00%0566115249.13%603119850.33%26050251.79%848583873265454223
8Condors22000000734110000004131100000032141.0007111800332527442336293336164991837500.00%9277.78%0566115249.13%603119850.33%26050251.79%848583873265454223
9Crunch2110000068-22110000068-20000000000020.500612180033252745933629333616491514308337.50%7185.71%0566115249.13%603119850.33%26050251.79%848583873265454223
10Eagles2010001046-2100000103211010000014-320.50045900332527468336293336165861834400.00%9366.67%0566115249.13%603119850.33%26050251.79%848583873265454223
11Griffins11000000101110000001010000000000021.0001230133252742233629333616206615600.00%30100.00%0566115249.13%603119850.33%26050251.79%848583873265454223
12Gulls2010010024-21010000012-11000010012-110.2502350033252746133629333616471312277114.29%6266.67%0566115249.13%603119850.33%26050251.79%848583873265454223
13IceHogs1010000023-11010000023-10000000000000.000246003325274363362933361631714184125.00%7271.43%0566115249.13%603119850.33%26050251.79%848583873265454223
14Islanders1010000035-21010000035-20000000000000.00035810332527432336293336163578185120.00%40100.00%0566115249.13%603119850.33%26050251.79%848583873265454223
15Marlies1010000024-2000000000001010000024-200.00023500332527419336293336165141217100.00%6183.33%0566115249.13%603119850.33%26050251.79%848583873265454223
16Moose3020000169-31010000012-12010000157-210.16761117003325274773362933361697232663900.00%13284.62%0566115249.13%603119850.33%26050251.79%848583873265454223
17Penguins1010000024-21010000024-20000000000000.000235003325274313362933361628138136116.67%4250.00%0566115249.13%603119850.33%26050251.79%848583873265454223
18Phantoms11000000624110000006240000000000021.0006111700332527427336293336162991410100.00%7185.71%1566115249.13%603119850.33%26050251.79%848583873265454223
19Reign2020000038-51010000013-21010000025-300.0003580033252745333629333616671722318225.00%11372.73%0566115249.13%603119850.33%26050251.79%848583873265454223
20Rocket11000000312000000000001100000031221.0003690033252742833629333616391312173266.67%60100.00%0566115249.13%603119850.33%26050251.79%848583873265454223
21Senators11000000624110000006240000000000021.0006121800332527429336293336161666256116.67%3233.33%0566115249.13%603119850.33%26050251.79%848583873265454223
22Stars1010000013-2000000000001010000013-200.0001230033252743633629333616264626200.00%3166.67%0566115249.13%603119850.33%26050251.79%848583873265454223
23Thunderbirds1010000023-1000000000001010000023-100.00024600332527420336293336162761217500.00%6183.33%0566115249.13%603119850.33%26050251.79%848583873265454223
24Wild10001000211000000000001000100021121.000246003325274173362933361644171417200.00%7185.71%0566115249.13%603119850.33%26050251.79%848583873265454223
25Wolf Pack11000000211110000002110000000000021.0002460033252742233629333616351712113133.33%60100.00%0566115249.13%603119850.33%26050251.79%848583873265454223
26Wolves1010000013-2000000000001010000013-200.00011200332527430336293336162210618400.00%30100.00%0566115249.13%603119850.33%26050251.79%848583873265454223
27Wranglers220000001073110000004221100000065141.0001018280033252746433629333616621516349333.33%8275.00%0566115249.13%603119850.33%26050251.79%848583873265454223
Total3611200121187101-141889000104845318311012013956-17290.403871542411133252749743362933361610463003026221252217.60%1512980.79%1566115249.13%603119850.33%26050251.79%848583873265454223
_Since Last GM Reset3611200121187101-141889000104845318311012013956-17290.403871542411133252749743362933361610463003026221252217.60%1512980.79%1566115249.13%603119850.33%26050251.79%848583873265454223
_Vs Conference21611011114855-7104500010221931126011012636-10180.429488413201332527458033629333616605153176366781114.10%882077.27%0566115249.13%603119850.33%26050251.79%848583873265454223
_Vs Division1255001103334-16320001017125623001001622-6130.54233558800332527434833629333616344809419445920.00%471274.47%0566115249.13%603119850.33%26050251.79%848583873265454223

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3629L187154241974104630030262211
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
361120121187101
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
188900104845
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1831112013956
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1252217.60%1512980.79%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
336293336163325274
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
566115249.13%603119850.33%26050251.79%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
848583873265454223


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
110Moose2Canucks1LSommaire du match
219Canucks2Moose3LSommaire du match
334Islanders5Canucks3LSommaire du match
545Canucks3Moose4LXXSommaire du match
668Reign3Canucks1LSommaire du match
772Canucks1Stars3LSommaire du match
997Crunch3Canucks4WSommaire du match
10107Canucks3Rocket1WSommaire du match
11114Canucks2Checkers4LSommaire du match
12125Canucks2Wild1WXSommaire du match
13138Penguins4Canucks2LSommaire du match
14153Canucks1Bears2LSommaire du match
15170Barracuda2Canucks4WSommaire du match
18192Gulls2Canucks1LSommaire du match
19206Canucks1Gulls2LXSommaire du match
20219Phantoms2Canucks6WSommaire du match
21235Griffins0Canucks1WSommaire du match
23250Canucks3Americans4LXSommaire du match
24261Canucks6Wranglers5WSommaire du match
25271Canucks1Bruins2LSommaire du match
26283Eagles2Canucks3WXXSommaire du match
27303Canucks3Condors2WSommaire du match
28308IceHogs3Canucks2LSommaire du match
29325Condors1Canucks4WSommaire du match
30341Crunch5Canucks2LSommaire du match
31353Canucks2Marlies4LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
32368Comets4Canucks1LSommaire du match
34381Canucks1Eagles4LSommaire du match
35397Canucks2Thunderbirds3LSommaire du match
37412Wolf Pack1Canucks2WSommaire du match
38424Canucks3Barracuda4LSommaire du match
39442Senators2Canucks6WSommaire du match
41454Canucks1Wolves3LSommaire du match
42464Admirals2Canucks1LSommaire du match
45483Wranglers2Canucks4WSommaire du match
46490Canucks2Reign5LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance36,00018,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 3000 - 100.00% 126,650$2,279,700$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,868,221$ 1,939,751$ 1,940,084$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
40,418$ 1,868,543$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 40,411$ 80,822$




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