Canucks

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Steve Tremblay | Morale : 1 | Moyenne d'Équipe : 68
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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
1Anthony DuclairX100.006945767471788579688285697074746149730
2Teemu PulkkinenX100.006149577271556399559784616976735652730
3Lance BoumaX100.008750706477739996706470756086814040720
4Patrick Maroon (R)X100.008853667180849277677581675275693543720
5Jesper Bratt (R)X100.006241867865849680737974665370534945710
6Landon Ferraro (R)X100.007850657072839184676671875663606334710
7Brock McGinn (R)X100.007535737272799672716969775673537042690
8Vladimir Sobotka (R)X100.007035727767849671847066686872634342680
9Pavel Zacha (R)X100.006841796985837868827168725868528839670
10Zac Dalpe (R)X100.005335637079505070707070705656575932630
11Michael Dal Colle (R)X100.005935736884636467506666665751508742620
12Mason Appleton (R)X100.005835696979606868616664655158504942620
13Corey PotterX100.00997165657773828553756875658787164730
14Rasmus Dahlin (R)X100.006935797381889572307865696053569442690
15Michal Kempny (R)X100.006935686873838468307166815766523639690
16Michael Matheson (R)X100.006535766979908868307180746075537842690
17Noah Juulsen (R)X100.00853580647975606330666079526151805660
18Yohann Auvitu (R)X100.005534896570715770306670696174633216640
Rayé
1Troy Terry (R)X100.005335757073646669526865665158505520620
2Markus Hannikainen (R)X100.007235736477745763506264666054514220610
3Josh Ho-Sang (R)X100.005035807168555568556057585252518020580
4Greg Pateryn (R)X100.008243856580848971306767845671584744720
5Bobby SanguinettiX100.008053796776717171457456685487834219680
6Colby Robak (R)X100.009046666777545875496760696070814220660
7Dillon Heatherington (R)X100.006535576491515264305753645057536820590
8Ashton Sautner (R)X100.005835746176565861305756575551504220570
MOYENNE D'ÉQUIPE100.00704173697672757352706870586761553467
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)100.00917888819093969594906683792442860
2Casey DeSmith (R)100.00908089718993959493896472723642840
Rayé
1Samuel Montembeault (R)100.00777890857680828180767151646520760
MOYENNE D'ÉQUIPE100.0086798979858991908985676972423582
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ted Nolan79726066867464CAN611550,000$


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
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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Anthony DuclairCanucks (VAN)LW241995-08-26 23:11:13No191 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
Ashton SautnerCanucks (VAN)D261994-05-27 08:02:28Yes195 Lbs6 ft1NoNoNo3Pro & Farm675,000$0$0$No675,000$675,000$
Bobby SanguinettiCanucks (VAN)D321988-02-28 05:11:13No201 Lbs6 ft3NoNoNo2Pro & Farm800,000$0$0$No800,000$
Brock McGinn Canucks (VAN)RW261994-02-02 17:06:56Yes187 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Casey DeSmithCanucks (VAN)G281991-08-13 14:59:24Yes181 Lbs6 ft0NoNoNo2Pro & Farm675,000$0$0$No675,000$
Colby RobakCanucks (VAN)D301990-04-24 17:11:13Yes199 Lbs6 ft3NoNoNo1Pro & Farm600,000$0$0$No
Corey PotterCanucks (VAN)D361984-01-05 05:11:13No209 Lbs6 ft3NoNoNo2Pro & Farm1,750,000$0$0$No1,750,000$
Curtis McElhinneyCanucks (VAN)G371983-05-23 23:11:14Yes203 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$No
Dillon HeatheringtonCanucks (VAN)D251995-05-09 08:01:04Yes225 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
Greg PaterynCanucks (VAN)D291990-06-20 17:11:13Yes224 Lbs6 ft3NoNoNo1Pro & Farm1,750,000$0$0$No
Jesper BrattCanucks (VAN)RW211998-07-30 11:06:07Yes175 Lbs5 ft10NoNoNo2Pro & Farm825,000$0$0$No825,000$
Josh Ho-SangCanucks (VAN)RW241996-01-22 04:07:56Yes173 Lbs6 ft0NoNoNo1Pro & Farm863,333$0$0$No
Lance BoumaCanucks (VAN)C301990-03-25 17:11:13No208 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Landon FerraroCanucks (VAN)C281991-08-08 23:11:13Yes180 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Markus Hannikainen Canucks (VAN)RW271993-03-26 17:10:45Yes200 Lbs6 ft1NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Mason AppletonCanucks (VAN)LW241996-01-15 04:24:32Yes193 Lbs6 ft2NoNoNo3Pro & Farm741,667$0$0$No741,667$741,667$
Michael Dal ColleCanucks (VAN)LW231996-06-20 08:06:25Yes204 Lbs6 ft3NoNoNo2Pro & Farm3,063,330$0$0$No3,063,330$
Michael Matheson Canucks (VAN)D261994-02-27 17:12:09Yes193 Lbs6 ft2NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
Michal KempnyCanucks (VAN)D291990-09-08 04:38:12Yes194 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$No
Noah JuulsenCanucks (VAN)D231997-04-02 08:07:50Yes193 Lbs6 ft2NoNoNo2Pro & Farm1,063,330$0$0$No1,063,330$
Patrick MaroonCanucks (VAN)LW321988-04-23 05:11:13Yes225 Lbs6 ft3NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
Pavel ZachaCanucks (VAN)C231997-04-06 04:14:38Yes210 Lbs6 ft3NoNoNo1Pro & Farm894,167$0$0$No
Rasmus DahlinCanucks (VAN)D202000-04-13 05:40:36Yes190 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Samuel MontembeaultCanucks (VAN)G231996-10-30 05:38:34Yes208 Lbs6 ft3NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$
Teemu PulkkinenCanucks (VAN)RW281992-01-02 05:11:13No187 Lbs5 ft11NoNoNo2Pro & Farm1,750,000$0$0$No1,750,000$
Troy TerryCanucks (VAN)C221997-09-10 05:16:20Yes178 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Vladimir SobotkaCanucks (VAN)C321987-07-02 08:12:52Yes189 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
Yohann AuvituCanucks (VAN)D301989-07-27 04:41:27Yes193 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Zac DalpeCanucks (VAN)RW301989-11-01 05:11:13Yes194 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2927.17197 Lbs6 ft12.001,063,822$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anthony DuclairLance BoumaTeemu Pulkkinen35122
2Patrick MaroonLandon FerraroJesper Bratt35122
3Mason AppletonVladimir SobotkaBrock McGinn 25122
4Michael Dal CollePavel ZachaZac Dalpe5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Corey PotterRasmus Dahlin35122
2Michal KempnyMichael Matheson 35122
3Noah JuulsenYohann Auvitu30122
4Corey PotterRasmus Dahlin0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anthony DuclairLance BoumaTeemu Pulkkinen60122
2Patrick MaroonLandon FerraroJesper Bratt40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Corey PotterRasmus Dahlin60122
2Michal KempnyMichael Matheson 40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Teemu PulkkinenAnthony Duclair60122
2Patrick MaroonLance Bouma40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Corey PotterRasmus Dahlin60122
2Michal KempnyMichael Matheson 40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Teemu Pulkkinen60122Corey PotterRasmus Dahlin60122
2Anthony Duclair40122Michal KempnyMichael Matheson 40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Teemu PulkkinenAnthony Duclair60122
2Patrick MaroonLance Bouma40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Corey PotterRasmus Dahlin60122
2Michal KempnyMichael Matheson 40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anthony DuclairLance BoumaTeemu PulkkinenCorey PotterRasmus Dahlin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anthony DuclairLance BoumaTeemu PulkkinenCorey PotterRasmus Dahlin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brock McGinn , Vladimir Sobotka, Pavel ZachaBrock McGinn , Vladimir SobotkaPavel Zacha
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Noah Juulsen, Yohann Auvitu, Michal KempnyNoah JuulsenYohann Auvitu, Michal Kempny
Tirs de Pénalité
Teemu Pulkkinen, Anthony Duclair, Patrick Maroon, Lance Bouma, Landon Ferraro
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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,085,083$ 1,600,083$ 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