Canucks

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Steve Tremblay | Morale : 1 | Moyenne d'Équipe : 67
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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 SP
1Teemu PulkkinenX100.005442647769576397569077686975725739730
2Patrick Maroon (R)X100.008146737685869275677379695271653943720
3Lance BoumaX100.008144766980739991696066756083784346710
4Anthony DuclairX100.006541807971818573697679687071716444710
5Landon Ferraro (R)X100.007143727271829181676368845660576644700
6Vladimir Sobotka (R)X100.007344788262879671747066666868594779690
7Shawn MatthiasX100.006341827189788660696872706988795833690
8Drayson BowmanX100.009569606675747781646862655882823944680
9Brock McGinn (R)X100.007742797767819670676767675670557044680
10Pavel Zacha (R)X100.006642777281828969816964675566538844670
11Zac Dalpe (R)X100.005744726274657674656161635978705944630
12Kasperi Kapanen (R)X100.006541796769738365516265655269518220630
13Markus Hannikainen (R)X100.006541786673716660676060655266514219610
14Morgan Klimchuk (R)X100.005842736068629261505961605061508020600
15Josh Ho-Sang (R)X100.005444736663619961546759555259518020600
16Michael Dal Colle (R)X100.006042736179629357515856605057508820590
17Corey PotterX100.00956472657881828153716475658585236730
18Greg Pateryn (R)X100.008344847085848971306767835670574852730
19Michael Matheson (R)X100.006343847473889471307180785672577941710
20Bobby SanguinettiX100.007851816575717170457355705485814442680
21Colby Robak (R)X100.008339736776575876496861726067784512660
22Michal Kempny (R)X100.006841866669776867306768685465523627650
23Yohann Auvitu (R)X100.006241826465745772306872686170593619640
24Noah Juulsen (R)X100.005741815575596956305556795059528022610
25Dillon Heatherington (R)X100.006646695184538955315753645054507120590
Rayé
MOYENNE D'ÉQUIPE100.00704576687473827154676669577063583567
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 SP
1Curtis McElhinney (R)100.00807089828191878686797779952544810
2Casey DeSmith (R)100.00777878737879838383765174643744760
Rayé
MOYENNE D'ÉQUIPE100.0079748478808585858578647780314479
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ted Nolan77706365806870CAN602550,000$


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'ÉquipePOS GP 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
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


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Anthony DuclairCanucks (VAN)RW231995-08-26 23:11:13No181 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm1,500,000$0$0$No
Bobby SanguinettiCanucks (VAN)D311988-02-28 05:11:13No201 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm800,000$0$0$No
Brock McGinn Canucks (VAN)RW251994-02-01 17:06:56Yes187 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm894,000$0$0$No
Casey DeSmithCanucks (VAN)G271991-08-13 14:59:24Yes181 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm675,000$0$0$No
Colby RobakCanucks (VAN)D291990-04-24 17:11:13Yes199 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm600,000$0$0$No
Corey PotterCanucks (VAN)D351984-01-05 05:11:13No209 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,750,000$0$0$No
Curtis McElhinneyCanucks (VAN)G361983-05-23 23:11:14Yes209 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm1,500,000$0$0$No
Dillon HeatheringtonCanucks (VAN)D241995-05-09 08:01:04Yes215 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm925,000$0$0$No
Drayson BowmanCanucks (VAN)RW301989-03-08 11:11:13No199 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm800,000$0$0$No
Greg PaterynCanucks (VAN)D281990-06-20 17:11:13Yes224 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm1,750,000$0$0$No
Josh Ho-SangCanucks (VAN)RW231996-01-22 04:07:56Yes176 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm863,333$0$0$No
Kasperi Kapanen Canucks (VAN)RW221996-07-23 17:09:09Yes187 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm894,000$0$0$No
Lance BoumaCanucks (VAN)C291990-03-25 17:11:13No208 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Landon FerraroCanucks (VAN)C271991-08-08 23:11:13Yes180 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$No
Markus Hannikainen Canucks (VAN)RW261993-03-25 17:10:45Yes200 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm718,000$0$0$No
Michael Dal ColleCanucks (VAN)LW221996-06-20 08:06:25Yes204 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm3,063,330$0$0$No
Michael Matheson Canucks (VAN)D251994-02-27 17:12:09Yes194 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm925,000$0$0$No
Michal KempnyCanucks (VAN)D281990-09-08 04:38:12Yes195 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No
Morgan KlimchukCanucks (VAN)LW241995-03-02 08:04:30Yes185 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm863,333$0$0$No
Noah JuulsenCanucks (VAN)D221997-04-02 08:07:50Yes175 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm1,063,330$0$0$No
Patrick MaroonCanucks (VAN)LW311988-04-23 05:11:13Yes225 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,500,000$0$0$No
Pavel ZachaCanucks (VAN)C221997-04-06 04:14:38Yes212 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm894,167$0$0$No
Shawn MatthiasCanucks (VAN)LW311988-02-19 05:11:13No231 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm900,000$0$0$No
Teemu PulkkinenCanucks (VAN)RW271992-01-02 05:11:13No187 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm1,750,000$0$0$No
Vladimir SobotkaCanucks (VAN)LW311987-07-02 08:12:52Yes199 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm925,000$0$0$No
Yohann AuvituCanucks (VAN)D291989-07-27 04:41:27Yes193 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm700,000$0$0$No
Zac DalpeCanucks (VAN)C291989-11-01 05:11:13Yes194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm575,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2727.26198 Lbs6 ft12.191,093,648$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Shawn MatthiasLance BoumaDrayson Bowman35122
2Zac DalpeLandon FerraroAnthony Duclair35122
3Vladimir SobotkaPavel ZachaBrock McGinn 25122
4Shawn MatthiasZac DalpeDrayson Bowman5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colby RobakYohann Auvitu35122
2Michael Matheson Bobby Sanguinetti35122
3Michal KempnyNoah Juulsen30122
4Michael Matheson Bobby Sanguinetti0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Shawn MatthiasLance BoumaVladimir Sobotka60122
2Brock McGinn Landon FerraroAnthony Duclair40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michal KempnyColby Robak60122
2Michael Matheson Bobby Sanguinetti40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anthony DuclairLandon Ferraro60122
2Shawn MatthiasLance Bouma40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah JuulsenMichal Kempny60122
2Michael Matheson Bobby Sanguinetti40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Lance Bouma60122Noah JuulsenColby Robak60122
2Anthony Duclair40122Michael Matheson Bobby Sanguinetti40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anthony DuclairLandon Ferraro60122
2Vladimir SobotkaLance Bouma40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michal KempnyYohann Auvitu60122
2Michael Matheson Bobby Sanguinetti40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anthony DuclairLance BoumaLandon FerraroMichael Matheson Bobby Sanguinetti
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anthony DuclairLance BoumaLandon FerraroMichael Matheson Bobby Sanguinetti
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vladimir Sobotka, Shawn Matthias, Brock McGinn Vladimir Sobotka, Shawn MatthiasBrock McGinn
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michal Kempny, Noah Juulsen, Michael Matheson Michal KempnyNoah Juulsen, Michael Matheson
Tirs de Pénalité
Landon Ferraro, Shawn Matthias, Drayson Bowman, Lance Bouma, Anthony Duclair
Gardien
#1 : Casey DeSmith, #2 : Curtis McElhinney


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,952,849$ 1,487,849$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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