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Canucks
GP: 25 | W: 14 | L: 8 | OTL: 3 | P: 31
GF: 113 | GA: 96 | PP%: 24.75% | PK%: 86.67%
DG: Patrick Tremblay | Morale : 43 | Moyenne d’équipe : 67
Prochains matchs #323 vs Admirals
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Centre de jeu
Rockets
9-14-2, 20pts
1
FINAL
6 Canucks
14-8-3, 31pts
Team Stats
L2SéquenceSOL1
5-7-0Fiche domicile6-5-1
4-7-2Fiche domicile8-3-2
3-7-0Derniers 10 matchs7-2-1
3.52Buts par match 4.52
4.48Buts contre par match 3.84
16.98%Pourcentage en avantage numérique24.75%
76.04%Pourcentage en désavantage numérique86.67%
Canucks
14-8-3, 31pts
4
FINAL
5 Barracuda
14-10-1, 29pts
Team Stats
SOL1SéquenceSOW1
6-5-1Fiche domicile8-3-1
8-3-2Fiche domicile6-7-0
7-2-1Derniers 10 matchs5-5-0
4.52Buts par match 4.04
3.84Buts contre par match 4.12
24.75%Pourcentage en avantage numérique15.09%
86.67%Pourcentage en désavantage numérique78.50%
Canucks
14-8-3, 31pts
Jour 64
Admirals
10-10-4, 24pts
Statistiques d’équipe
SOL1SéquenceW1
6-5-1Fiche domicile4-6-2
8-3-2Fiche visiteur6-4-2
7-2-110 derniers matchs6-3-1
4.52Buts par match 4.42
3.84Buts contre par match 4.42
24.75%Pourcentage en avantage numérique22.77%
86.67%Pourcentage en désavantage numérique79.59%
Thunderbirds
15-9-2, 32pts
Jour 65
Canucks
14-8-3, 31pts
Statistiques d’équipe
OTL1SéquenceSOL1
5-6-1Fiche domicile6-5-1
10-3-1Fiche visiteur8-3-2
5-3-210 derniers matchs7-2-1
4.15Buts par match 4.52
3.69Buts contre par match 4.52
18.18%Pourcentage en avantage numérique24.75%
81.65%Pourcentage en désavantage numérique86.67%
Moose
11-11-2, 24pts
Jour 68
Canucks
14-8-3, 31pts
Statistiques d’équipe
L1SéquenceSOL1
6-5-1Fiche domicile6-5-1
5-6-1Fiche visiteur8-3-2
5-4-110 derniers matchs7-2-1
4.29Buts par match 4.52
4.63Buts contre par match 4.52
24.35%Pourcentage en avantage numérique24.75%
77.57%Pourcentage en désavantage numérique86.67%
Meneurs d'équipe
Buts
Ryan Lomberg
23
Passes
Nicolas Petan
25
Points
Ryan Lomberg
43
Plus/Moins
Juho Lammikko
6
Victoires
Thatcher Demko
12
Pourcentage d’arrêts
Thatcher Demko
0.896

Statistiques d’équipe
Buts pour
113
4.52 GFG
Tirs pour
797
31.88 Avg
Pourcentage en avantage numérique
24.8%
25 GF
Début de zone offensive
35.4%
Buts contre
96
3.84 GAA
Tirs contre
851
34.04 Avg
Pourcentage en désavantage numérique
86.7%%
14 GA
Début de la zone défensive
37.8%
Informations de l'équipe

Directeur généralPatrick Tremblay
EntraîneurHenrik Sedin
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,850
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 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
1Nicolas PetanX100.007136847577797376858275636865574342740241900,000$
2Ryan LombergX100.008845757889627975627879726469624249740253950,000$
3Juho Lammikko (R)X100.007635757976687678687574666050514049710231900,000$
4Trevor MooreX100.007450817364767266787275627751524949700241850,000$
5Axel Holmstrom (R)X100.006541777374677270727374657255493852690232800,000$
6Mackenzie MacEachernX100.006530757560706777716672627852513149680251700,000$
7C.J. SmithX100.007642756769676869646770617552544649670252850,000$
8William Lockwood (R)X100.006228717662675877736768587944444949660213750,000$
9Aleksi Heponiemi (R)X100.005734746762657267798071515543436249650201550,000$
10Lane Pederson (R)X100.007153697172716665657464576447464749650224600,000$
11Tobias LindbergX100.007242717258656965726764586946493227640241600,000$
12Aku Raty (R)X100.005545666160555360635356556040407730560182500,000$
13Adam Ollas-Mattsson (R)X100.006738757675717068537461805459504346710233825,000$
14William Lagesson (R)X100.006527798066646975417559745852494449690231700,000$
15Daniil Miromanov (R)X100.007225806571746573426574695650505439680224750,000$
16Guillaume Brisebois (R)X100.006948806570646064476753725745464649660224600,000$
17Will Borgen (R)X100.007450676672775857335861654948474146650232700,000$
18Jack Rathbone (R)X100.006734775252626964415962655043434930610204500,000$
Rayé
1Curtis LazarX100.007339827876767578757781637461524342740244975,000$
2Charles HudonX100.006841806774696667736373606748493025660251750,000$
3Rasmus Asplund (R)X100.006231687152675075586768528144444025630221600,000$
4Jay O'Brien (R)X100.004536746955674367536155547444445325580201500,000$
5Brandon Saigeon (R)X100.005435705767495249465858376445464725530211500,000$
6Dan RenoufX100.006948837272726869607864716666553934710251800,000$
MOYENNE D’ÉQUIPE100.00673975706868656961696762655149454166
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 Demko97.00786979676984847267837666524553740232900,000$
2Casey DeSmith100.00826474798166657369638358614054710281750,000$
Rayé
1Marek Langhamer100.00675663697562636763567747473228640251500,000$
2Jake Paterson100.00655367706764576366617147472824630251700,000$
MOYENNE D’ÉQUIPE99.2573617171736967696666775552364068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Henrik Sedin75586370346237USA732700,000$


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
1Ryan LombergCanucks (Van)LW252320433220474395335824.21%2258623.471061617810001831159.49%792912111.4701000344
2Nicolas PetanCanucks (Van)C22112536120324359364518.64%1452924.085101516720003801056.57%799119001.3601000120
3Curtis LazarCanucks (Van)RW19161733440372774224021.62%840721.46481211670000143057.53%73218011.6200000242
4Juho LammikkoCanucks (Van)RW251116276120342463224917.46%1034613.870110161121392037.04%27145011.5601000200
5Adam Ollas-MattssonCanucks (Van)D2532023443534614712216.38%4970828.32055489011083100%01426000.6500010002
6Daniel ZaarCanucksRW2011516-10032264622362.17%832216.130334580000101048.48%3386000.9900000111
7Axel HolmstromCanucks (Van)C256915-1155364650232912.00%1042316.961342680001350052.19%29736000.7100100100
8Trevor MooreCanucks (Van)LW2512315-200512443102327.91%942717.103037661013410050.00%1632000.7000000102
9Dan RenoufCanucks (Van)D1601414160263914870%3146328.98022363000158000%0622000.6000000110
10Mackenzie MacEachernCanucks (Van)LW2576134100222252142513.46%328511.43000010110240050.00%276000.9100000110
11William LagessonCanucks (Van)D2521113423527403814195.26%2557923.16022471000070000%01223000.4500000010
12William LockwoodCanucks (Van)RW2558132160202446172010.87%22188.75101110000002033.33%691001.1900000100
13C.J. SmithCanucks (Van)LW25741102013934101320.59%11837.3500000000001060.00%514001.2000000101
14Lane PedersonCanucks (Van)C253710-212024123911197.69%22309.2200007000181037.50%10444000.8700000001
15Aleksi HeponiemiCanucks (Van)C2545911001792561316.00%12329.3100000000011053.68%9554000.7700000011
16Daniil MiromanovCanucks (Van)D25167510026383410122.94%2051120.46112258011074000%0614000.2700000000
17Will BorgenCanucks (Van)D25033-126025158580%1127811.140000200005000%038000.2200000000
18Guillaume BriseboisCanucks (Van)D25022340192416560%836514.61000016000049000%0211000.1100000000
19Jack RathboneCanucks (Van)D9022100386340%311713.0400000000014000%002000.3400000000
20Aku RatyCanucks (Van)RW9101-12021104100.00%0404.5500000000010050.00%200000.4900000010
21Charles HudonCanucks (Van)LW4000000210000%092.2800000000040025.00%40000000000000
22Jay O'BrienCanucks (Van)C4000000000000%041.080000000003000%00000000000000
23Tobias LindbergCanucks (Van)RW9000040354120%1647.22000000000000100.00%11100000000000
24Rasmus AsplundCanucks (Van)C4000100213000%0287.1800000000030025.00%121000000000000
Statistiques d’équipe totales ou en moyenne466113193306322231553454279728445314.18%238736815.81254166717542461171014153.50%1555160174130.8303110151614
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)2012610.8963.4811552067646313100.5002205101
2Casey DeSmithCanucks (Van)72220.8684.4936100272041030100520000
Statistiques d’équipe totales ou en moyenne2714830.8893.72151720948504161122525101


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)D231996-01-01Yes215 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm825,000$575,866$0$0$No825,000$825,000$-------NoNo-------
Aku RatyCanucks (Van)RW182001-01-01Yes176 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Aleksi HeponiemiCanucks (Van)C201999-01-01Yes155 Lbs5 ft10NoNoTrade2024-09-17NoNo12024-08-21FalseFalsePro & Farm550,000$383,911$0$0$No------------------
Axel HolmstromCanucks (Van)C231996-01-01Yes198 Lbs6 ft2NoNoTrade2024-09-24NoNo2FalseFalsePro & Farm800,000$558,416$0$0$No800,000$--------No--------
Brandon SaigeonCanucks (Van)C211998-01-01Yes200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
C.J. SmithCanucks (Van)LW251994-01-01No184 Lbs5 ft11NoNoTrade2024-10-08NoNo2FalseFalsePro & Farm850,000$593,317$0$0$No975,000$--------No--------
Casey DeSmithCanucks (Van)G281991-01-01No181 Lbs6 ft0NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Charles HudonCanucks (Van)LW251994-01-01No170 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Curtis LazarCanucks (Van)RW241995-01-01No185 Lbs6 ft0NoNoFree AgentNoNo42024-09-24FalseFalsePro & Farm975,000$680,569$0$0$No1,200,000$1,500,000$2,000,000$------NoNoNo------
Dan RenoufCanucks (Van)D251994-01-01No198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$558,416$0$0$No------------------
Daniil MiromanovCanucks (Van)D221997-01-01Yes202 Lbs6 ft4NoNoFree AgentNoNo42024-09-24FalseFalsePro & Farm750,000$523,515$0$0$No750,000$900,000$900,000$------NoNoNo------
Guillaume BriseboisCanucks (Van)D221997-01-01Yes175 Lbs6 ft2NoNoFree AgentNoNo42024-09-24FalseFalsePro & Farm600,000$418,812$0$0$No600,000$900,000$900,000$------NoNoNo------
Jack RathboneCanucks (Van)D201999-01-01Yes177 Lbs5 ft10NoNoFree AgentNoNo42024-09-24FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$500,000$------NoNoNo------
Jake PatersonCanucks (Van)G251994-01-01No176 Lbs6 ft0NoNoFree AgentNoNo12024-10-06FalseFalsePro & Farm700,000$488,614$0$0$No------------------
Jay O'BrienCanucks (Van)C201999-01-01Yes184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Juho LammikkoCanucks (Van)RW231996-01-01Yes191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Lane PedersonCanucks (Van)C221997-01-01Yes192 Lbs6 ft0NoNoFree AgentNoNo42024-09-24FalseFalsePro & Farm600,000$418,812$0$0$No600,000$600,000$600,000$------NoNoNo------
Mackenzie MacEachernCanucks (Van)LW251994-01-01No180 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$488,614$0$0$No------------------
Marek LanghamerCanucks (Van)G251994-01-01No181 Lbs6 ft1NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Nicolas PetanCanucks (Van)C241995-01-01No185 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Rasmus AsplundCanucks (Van)C221997-01-01Yes190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Ryan LombergCanucks (Van)LW251994-01-01No196 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm950,000$663,119$0$0$No1,200,000$1,500,000$-------NoNo-------
Thatcher DemkoCanucks (Van)G231996-01-01No192 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm900,000$628,218$0$0$No1,100,000$--------No--------
Tobias LindbergCanucks (Van)RW241995-01-01No185 Lbs6 ft3NoNoFree AgentNoNo12024-10-06FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Trevor MooreCanucks (Van)LW241995-01-01No174 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm850,000$593,317$0$0$No------------------
Will BorgenCanucks (Van)D231996-01-01Yes198 Lbs6 ft3NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm700,000$488,614$0$0$No700,000$--------No--------
William LagessonCanucks (Van)D231996-01-01Yes207 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$488,614$0$0$No------------------
William LockwoodCanucks (Van)RW211998-01-01Yes172 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm750,000$523,515$0$0$No750,000$750,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.04186 Lbs6 ft11.93714,286$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan LombergNicolas PetanJuho Lammikko40122
2Trevor MooreAxel HolmstromWilliam Lockwood30122
3Mackenzie MacEachernLane PedersonTobias Lindberg20122
4C.J. SmithAleksi HeponiemiAku Raty10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam Ollas-MattssonWilliam Lagesson40122
2Daniil MiromanovGuillaume Brisebois30122
3Will BorgenJack Rathbone20122
4Adam Ollas-MattssonWilliam Lagesson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan LombergNicolas PetanJuho Lammikko60122
2Trevor MooreAxel HolmstromWilliam Lockwood40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam Ollas-MattssonWilliam Lagesson60122
2Daniil MiromanovGuillaume Brisebois40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan LombergNicolas Petan60122
2Juho LammikkoTrevor Moore40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam Ollas-MattssonWilliam Lagesson60122
2Daniil MiromanovGuillaume Brisebois40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Lomberg60122Adam Ollas-MattssonWilliam Lagesson60122
2Nicolas Petan40122Daniil MiromanovGuillaume Brisebois40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan LombergNicolas Petan60122
2Juho LammikkoTrevor Moore40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam Ollas-MattssonWilliam Lagesson60122
2Daniil MiromanovGuillaume Brisebois40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergNicolas PetanJuho LammikkoAdam Ollas-MattssonWilliam Lagesson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergNicolas PetanJuho LammikkoAdam Ollas-MattssonWilliam Lagesson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mackenzie MacEachern, C.J. Smith, Lane PedersonMackenzie MacEachern, C.J. SmithLane Pederson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Will Borgen, Jack Rathbone, Daniil MiromanovWill BorgenJack Rathbone, Daniil Miromanov
Tirs de pénalité
Ryan Lomberg, Nicolas Petan, Juho Lammikko, Trevor Moore, Axel Holmstrom
Gardien
#1 : Thatcher Demko, #2 : Casey DeSmith
Lignes d’attaque personnalisées en prolongation
Ryan Lomberg, Nicolas Petan, Juho Lammikko, Trevor Moore, Axel Holmstrom, Mackenzie MacEachern, Mackenzie MacEachern, C.J. Smith, William Lockwood, Lane Pederson, Aleksi Heponiemi
Lignes de défense personnalisées en prolongation
Adam Ollas-Mattsson, William Lagesson, Daniil Miromanov, Guillaume Brisebois, Will Borgen


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
1Barracuda1000000145-1000000000001000000145-110.500471100344136234253296236153871019200.00%5260.00%029754254.80%31457954.23%22140954.03%516280546237456224
2Comets2110000010911010000067-11100000042220.5001017270034413625725329623615732019446233.33%8187.50%029754254.80%31457954.23%22140954.03%516280546237456224
3Crunch220000001147110000005231100000062441.0001120310034413627225329623615511414491119.09%70100.00%129754254.80%31457954.23%22140954.03%516280546237456224
4Eagles10001000431000000000001000100043121.0004610003441362312532962361532134176116.67%20100.00%029754254.80%31457954.23%22140954.03%516280546237456224
5Firebirds1000010034-1000000000001000010034-110.500347003441362332532962361538614203133.33%7185.71%029754254.80%31457954.23%22140954.03%516280546237456224
6Griffins211000004401010000013-21100000031220.50047110034413627125329623615621318389222.22%90100.00%029754254.80%31457954.23%22140954.03%516280546237456224
7Little Stars312000001717021100000131211010000045-120.33317284510344136298253296236151003316799222.22%8187.50%029754254.80%31457954.23%22140954.03%516280546237456224
8Phantoms210010001183100010005411100000064241.0001120310034413627025329623615752614428337.50%7185.71%029754254.80%31457954.23%22140954.03%516280546237456224
9Punishers412001001923-420100100813-5211000001110130.3751932510034413621212532962361513937488822836.36%24483.33%129754254.80%31457954.23%22140954.03%516280546237456224
10Rockets22000000927110000006151100000031241.000916250034413627025329623615621924303133.33%110100.00%029754254.80%31457954.23%22140954.03%516280546237456224
11Senators11000000532110000005320000000000021.0005813003441362352532962361539714213266.67%2150.00%029754254.80%31457954.23%22140954.03%516280546237456224
12Thunderbirds4220000016142211000009902110000075240.5001628440034413621052532962361514243308719210.53%15380.00%029754254.80%31457954.23%22140954.03%516280546237456224
Total2512802201113961712550110058544137301101554213310.620113193306103441362797253296236158512382255341012524.75%1051486.67%229754254.80%31457954.23%22140954.03%516280546237456224
_Since Last GM Reset2512802201113961712550110058544137301101554213310.620113193306103441362797253296236158512382255341012524.75%1051486.67%229754254.80%31457954.23%22140954.03%516280546237456224
_Vs Conference17770120080746834001004143-29430110039318180.5298013521510344136251725329623615575166145384761722.37%711085.92%229754254.80%31457954.23%22140954.03%516280546237456224
_Vs Division1146001005254-2623001003034-4523000002220290.40952881401034413623242532962361538111394254501224.00%47882.98%129754254.80%31457954.23%22140954.03%516280546237456224

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2531SOL111319330679785123822553410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25128220111396
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
125511005854
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
137311015542
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1012524.75%1051486.67%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
253296236153441362
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
29754254.80%31457954.23%22140954.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
516280546237456224


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
414Thunderbirds4Canucks5WR1Sommaire du match
627Canucks6Phantoms4WSommaire du match
834Canucks4Comets2WSommaire du match
945Phantoms4Canucks5WXSommaire du match
1156Canucks5Punishers6LR1Sommaire du match
1468Canucks4Eagles3WXSommaire du match
1673Punishers4Canucks3LXR1Sommaire du match
1782Canucks4Little Stars5LSommaire du match
20100Canucks3Firebirds4LXSommaire du match
21103Little Stars7Canucks10WSommaire du match
24125Canucks2Thunderbirds3LR1Sommaire du match
26129Thunderbirds5Canucks4LSommaire du match
27141Canucks6Crunch2WSommaire du match
30154Comets7Canucks6LSommaire du match
33175Little Stars5Canucks3LSommaire du match
35181Canucks5Thunderbirds2WR1Sommaire du match
38194Canucks6Punishers4WR1Sommaire du match
40207Senators3Canucks5WSommaire du match
42214Canucks3Griffins1WSommaire du match
46232Crunch2Canucks5WSommaire du match
49248Canucks3Rockets1WSommaire du match
51258Punishers9Canucks5LR1Sommaire du match
55280Griffins3Canucks1LSommaire du match
59299Rockets1Canucks6WSommaire du match
61308Canucks4Barracuda5LXXSommaire du match
64323Canucks-Admirals-
65333Thunderbirds-Canucks-
68351Moose-Canucks-
71362Canucks-Moose-
73376Americans-Canucks-
77393Canucks-Penguins-
79403Checkers-Canucks-
82422Canucks-Americans-
84433Checkers-Canucks-
87449Canucks-Punishers-
89457Wolfpack-Canucks-
92475Canucks-Crunch-
94481Canucks-Senators-
95489Gulls-Canucks-
99508Canucks-Condors-
101516Punishers-Canucks-
103525Canucks-Marlies-
106539Eagles-Canucks-
110559Canucks-Icehogs-
111567Crunch-Canucks-
115589Penguins-Canucks-
119610Wranglers-Canucks-
121619Canucks-Checkers-
124634Islander-Canucks-
126646Canucks-Islander-
128657Canucks-Eagles-
130665Admirals-Canucks-
132680Canucks-Bears-
134690Senators-Canucks-
136703Canucks-Wolfpack-
138716Barracuda-Canucks-
141733Canucks-Wranglers-
142742Penguins-Canucks-
146762Canucks-Gulls-
148771Firebirds-Canucks-
151789Phantoms-Canucks-
154806Canucks-Wolfpack-
156818Little Stars-Canucks-
160835Icehogs-Canucks-
162850Canucks-Little Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165863Canucks-Firebirds-
167871Condors-Canucks-
170888Phantoms-Canucks-
173904Canucks-Little Stars-
175917Marlies-Canucks-
177928Canucks-Comets-
179940Comets-Canucks-
180946Canucks-Firebirds-
183960Canucks-Comets-
185971Islander-Canucks-
190993Bears-Canucks-
191998Canucks-Phantoms-
1941015Bears-Canucks-
1961024Canucks-Thunderbirds-
1991035Canucks-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance22,96411,241
Assistance PCT95.68%93.68%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2850 - 95.01% 179,998$2,159,976$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
841,330$ 2,000,000$ 1,875,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,901$ 629,960$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,039,944$ 141 13,366$ 1,884,606$




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