Canucks

GP: 82 | W: 36 | L: 34 | OTL: 12 | P: 84
GF: 206 | GA: 224 | PP%: 14.12% | PK%: 78.63%
DG: Steve Tremblay | Morale : 22 | 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)X47.858243856580848971306767845671584744720
5Bobby SanguinettiX100.008053796776717171457456685487834219680
6Colby Robak (R)X100.009046666777545875496760696070814220660
7Dillon Heatherington (R)X100.006535576491515264305753645057536820590
8Ashton Sautner (R)X100.005835746176565861305756575551504220570
MOYENNE D'ÉQUIPE97.96704173697672757352706870586761553467
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
1Teemu PulkkinenCanucks (VAN)RW82215172-514040203152296821747.09%33160519.58824326030710121623240.33%3676922100.90313413263
2Jesper BrattCanucks (VAN)RW8227356218211596124281711559.61%25138716.92581330244000006360.56%715418000.8900003662
3Anthony DuclairCanucks (VAN)LW82322860-459251731452478915412.96%49172621.051510255230811272577543.68%1906328010.70212104455
4Lance BoumaCanucks (VAN)C80153651-4885016421816955988.88%45164120.524182237298101171914051.17%19741529000.6227244413
5Patrick MaroonCanucks (VAN)LW821833511610515216133251791617.17%26156219.05371023243011101290143.62%943617000.6517111123
6Landon FerraroCanucks (VAN)C77182442138515198170159418211.32%31132917.26347142210001124147.24%12702726000.6302111166
7Vladimir SobotkaCanucks (VAN)C821322351380129177182471217.14%25117714.3611254600081560155.75%9654232000.5900000221
8Corey PotterCanucks (VAN)D825273291906018515611152684.50%80195523.852810233390003282020.00%02863000.3300714300
9Brock McGinn Canucks (VAN)RW82141226136012482197581157.11%2296911.83011128000001148.65%743518000.5400000101
10Greg PaterynCanucks (VAN)D7061420519151211529729296.19%86173924.85639213130114302000.00%01750000.2300111212
11Rasmus DahlinCanucks (VAN)D8221719113201221487524432.67%78183022.3313472290113225000.00%02853000.2100000101
12Michael Matheson Canucks (VAN)D823131612380951459036273.33%78165120.1411271860004177000.00%03144000.1900000001
13Pavel ZachaCanucks (VAN)C82106162215638010320539.71%66668.13000001011842158.80%3011712000.4800010021
14Zac DalpeCanucks (VAN)RW8277141240444710431626.73%165546.7600006000092246.67%15147000.5000000011
15Michal KempnyCanucks (VAN)D8231013106751201166434324.69%91135916.58000073011066000.00%01544000.1900010001
16Michael Dal ColleCanucks (VAN)LW824711010055605719437.02%106738.22000020005773027.78%181011000.3300000100
17Mason AppletonCanucks (VAN)LW61358420061425029456.00%1564310.5400000000000154.55%33612000.2500000001
18Yohann AuvituCanucks (VAN)D24055100172011770.00%1635914.9700000000019000.00%059000.2800000001
19Troy TerryCanucks (VAN)C25213280811226149.09%31716.8600000000000041.18%1743000.3500000001
20Bobby SanguinettiCanucks (VAN)D58022-932107458251390.00%3685014.6700001011061000.00%0431000.0500020000
21Noah JuulsenCanucks (VAN)D12000-72013159140.00%516713.930000000004000.00%014000.0000000000
22Josh Ho-SangCanucks (VAN)RW1000000120000.00%033.4300000000000050.00%200000.0000000000
Stats d'équipe Total ou en Moyenne147420335555877103525522822253260082314967.81%7762402516.30498813728028524610652220322050.34%5391521533110.46841171321283234
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
1Casey DeSmithCanucks (VAN)52261970.9242.443079601251647687010.667245230764
2Curtis McElhinneyCanucks (VAN)33101550.9082.8218962089967396310.765173052032
Stats d'équipe Total ou en Moyenne853634120.9182.5849758021426141083320.707418282796


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)D251994-05-27 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)G361983-05-23 23:11:14Yes203 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$No
Dillon HeatheringtonCanucks (VAN)D241995-05-09 08:01:04Yes225 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
Greg Pateryn (Sur la Masse Salariale)Canucks (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
2927.07197 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
1Avalanche41300000816-82110000065120200000211-920.2508122000536483101198058999205311836661291900.00%18572.22%11074210051.14%1115219550.80%534107449.72%1796102517617731425714
2Blackhawks422000001011-1220000007342020000038-540.500101828005364831013880589992053136402211117211.76%11463.64%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
3Blues41300000611-52020000025-32110000046-220.2506915005364831013480589992053135366610617211.76%19384.21%11074210051.14%1115219550.80%534107449.72%1796102517617731425714
4Bruins2010000146-21000000123-11010000023-110.25045900536483106780589992053702217638112.50%5260.00%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
5Canadiens22000000752110000003211100000043141.000713200053648310818058999205357712518112.50%6266.67%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
6Capitals412010001114-330201000813-51100000031240.50011213200536483101298058999205313833361151516.67%13376.92%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
7Devils21000010532100000103211100000021141.000571200536483106680589992053622123679222.22%4175.00%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
8Ducks623000011214-2321000007523020000159-450.417122133005364831017880589992053185657415919315.79%26676.92%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
9Flames63000102171613100010178-132000001108290.7501732490053648310184805899920531795413517439717.95%40685.00%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
10Flyers2020000036-31010000023-11010000013-200.0003690053648310618058999205362201646300.00%8187.50%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
11Islanders211000005411010000012-11100000042220.500591400536483107380589992053712210554125.00%5180.00%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
12Kings622001011517-2311000019903110010068-260.5001527420053648310179805899920531996310519332721.88%40587.50%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
13Maple Leafs210000019451000000123-11100000071630.7509172600536483107280589992053661623657114.29%4175.00%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
14Oilers604000201623-730200010713-630200010910-140.3331624400053648310184805899920531905711516839410.26%40880.00%11074210051.14%1115219550.80%534107449.72%1796102517617731425714
15Penguins320001008531000010023-12200000062450.833815230053648310100805899920531002512927114.29%6183.33%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
16Predators421010001385211000006602100100072560.750132437005364831011680589992053125313610816637.50%18477.78%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
17Rangers31100001660110000003122010000135-230.50061117005364831010280589992053108392075300.00%10370.00%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
18Red Wings22000000954110000003121100000064241.0009152400536483108080589992053692116365120.00%8275.00%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
19Sabres2010010036-31010000013-21000010023-110.25036900536483106480589992053592710433133.33%50100.00%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
20Senateurs22000000725110000004131100000031241.00071017005364831070805899920536825660600.00%30100.00%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
21Sharks613000111519-430300000611-53100001198150.4171523381053648310181805899920531875112616936513.89%38878.95%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
22Stars422000001214-22110000068-22110000066040.50012223400536483101268058999205311936719824312.50%23865.22%11074210051.14%1115219550.80%534107449.72%1796102517617731425714
Total82303402448206224-1841141801224100113-1341161601224106111-5840.51220635756320536483102637805899920532616782105223023474914.12%3657878.63%41074210051.14%1115219550.80%534107449.72%1796102517617731425714
24Wild4130000059-4211000003302020000026-420.2505101510536483101338058999205311335351191100.00%15473.33%01074210051.14%1115219550.80%534107449.72%1796102517617731425714
_Since Last GM Reset82303402448206224-1841141801224100113-1341161601224106111-5840.51220635756320536483102637805899920532616782105223023474914.12%3657878.63%41074210051.14%1115219550.80%534107449.72%1796102517617731425714
_Vs Conference54172601235129158-29271013001126676-1027713011236382-19490.4541292223512053648310167280589992053168650485115342693914.50%2886178.82%41074210051.14%1115219550.80%534107449.72%1796102517617731425714
_Vs Division30812002357589-141547001123646-101545001233943-4290.483751272021053648310906805899920539402905558631652615.76%1843382.07%11074210051.14%1115219550.80%534107449.72%1796102517617731425714

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8284W1206357563263726167821052230220
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8230342448206224
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114181224100113
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4116161224106111
Derniers 10 Matchs
WLOTWOTL SOWSOL
350002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3474914.12%3657878.63%4
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
8058999205353648310
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
1074210051.14%1115219550.80%534107449.72%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1796102517617731425714


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
2 - 2019-10-0710Canucks2Oilers3LSommaire du Match
4 - 2019-10-0921Oilers5Canucks1LSommaire du Match
6 - 2019-10-1131Flames2Canucks3WR5Sommaire du Match
8 - 2019-10-1343Canucks3Flames2WSommaire du Match
10 - 2019-10-1553Capitals4Canucks2LSommaire du Match
11 - 2019-10-1661Canucks2Ducks3LXXSommaire du Match
15 - 2019-10-2080Kings3Canucks2LR5Sommaire du Match
19 - 2019-10-24100Sharks4Canucks2LR5Sommaire du Match
22 - 2019-10-27117Canucks3Sharks2WXXSommaire du Match
23 - 2019-10-28125Ducks2Canucks4WSommaire du Match
24 - 2019-10-29131Canucks2Kings3LXR5Sommaire du Match
28 - 2019-11-02149Blues2Canucks1LSommaire du Match
30 - 2019-11-04159Canucks1Blues4LSommaire du Match
32 - 2019-11-06169Capitals3Canucks4WXSommaire du Match
34 - 2019-11-08182Canucks5Stars3WSommaire du Match
36 - 2019-11-10192Canucks3Sharks2WR5Sommaire du Match
38 - 2019-11-12204Maple Leafs3Canucks2LXXSommaire du Match
40 - 2019-11-14216Canucks1Ducks3LSommaire du Match
42 - 2019-11-16223Canucks1Stars3LSommaire du Match
43 - 2019-11-17233Sharks3Canucks2LR5Sommaire du Match
46 - 2019-11-20248Canucks2Bruins3LSommaire du Match
48 - 2019-11-22257Islanders2Canucks1LSommaire du Match
50 - 2019-11-24264Canucks2Rangers3LXXSommaire du Match
52 - 2019-11-26276Canucks3Flames4LXXR5Sommaire du Match
53 - 2019-11-27285Sabres3Canucks1LSommaire du Match
57 - 2019-12-01301Canadiens2Canucks3WSommaire du Match
60 - 2019-12-04315Canucks5Predators1WSommaire du Match
62 - 2019-12-06326Red Wings1Canucks3WSommaire du Match
64 - 2019-12-08333Canucks4Islanders2WSommaire du Match
66 - 2019-12-10348Sharks4Canucks2LR5Sommaire du Match
68 - 2019-12-12356Canucks2Devils1WSommaire du Match
70 - 2019-12-14369Canucks1Flyers3LSommaire du Match
72 - 2019-12-16378Blues3Canucks1LSommaire du Match
74 - 2019-12-18391Canucks2Sabres3LXSommaire du Match
75 - 2019-12-19399Canucks1Wild3LSommaire du Match
77 - 2019-12-21406Flyers3Canucks2LSommaire du Match
80 - 2019-12-24424Devils2Canucks3WXXSommaire du Match
82 - 2019-12-26436Canucks3Oilers4LSommaire du Match
85 - 2019-12-29450Stars4Canucks5WSommaire du Match
87 - 2019-12-31460Canucks4Oilers3WXXSommaire du Match
90 - 2020-01-03474Oilers3Canucks4WXXSommaire du Match
94 - 2020-01-07494Avalanche3Canucks2LR2Sommaire du Match
97 - 2020-01-10514Capitals6Canucks2LSommaire du Match
99 - 2020-01-12523Canucks3Capitals1WSommaire du Match
101 - 2020-01-14535Canucks1Avalanche3LR2Sommaire du Match
103 - 2020-01-16543Avalanche2Canucks4WSommaire du Match
105 - 2020-01-18556Canucks1Avalanche8LR2Sommaire du Match
107 - 2020-01-20563Canucks4Flames2WR5Sommaire du Match
108 - 2020-01-21573Oilers5Canucks2LSommaire du Match
110 - 2020-01-23584Canucks1Kings3LR5Sommaire du Match
112 - 2020-01-25598Bruins3Canucks2LXXSommaire du Match
115 - 2020-01-28612Canucks1Wild3LSommaire du Match
117 - 2020-01-30618Senateurs1Canucks4WSommaire du Match
120 - 2020-02-02634Canucks3Penguins1WSommaire du Match
122 - 2020-02-04643Stars4Canucks1LSommaire du Match
124 - 2020-02-06654Canucks3Penguins1WSommaire du Match
126 - 2020-02-08666Penguins3Canucks2LXSommaire du Match
128 - 2020-02-10674Canucks2Predators1WXSommaire du Match
130 - 2020-02-12687Canucks4Canadiens3WSommaire du Match
131 - 2020-02-13695Kings3Canucks5WR5Sommaire du Match
133 - 2020-02-15708Canucks3Senateurs1WSommaire du Match
135 - 2020-02-17718Rangers1Canucks3WSommaire du Match
138 - 2020-02-20734Canucks3Kings2WR5Sommaire du Match
139 - 2020-02-21740Blackhawks1Canucks4WSommaire du Match
143 - 2020-02-25762Flames2Canucks1LXR5Sommaire du Match
145 - 2020-02-27768Canucks1Rangers2LSommaire du Match
147 - 2020-02-29780Canucks6Red Wings4WSommaire du Match
149 - 2020-03-02789Wild1Canucks2WSommaire du Match
152 - 2020-03-05808Blackhawks2Canucks3WSommaire du Match
153 - 2020-03-06812Canucks3Sharks4LXXR5Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
156 - 2020-03-09830Canucks2Ducks3LSommaire du Match
158 - 2020-03-11836Predators2Canucks3WSommaire du Match
161 - 2020-03-14856Ducks1Canucks2WSommaire du Match
162 - 2020-03-15862Canucks2Blackhawks5LSommaire du Match
163 - 2020-03-16868Canucks3Blues2WSommaire du Match
167 - 2020-03-20885Predators4Canucks3LSommaire du Match
171 - 2020-03-24903Canucks1Blackhawks3LSommaire du Match
173 - 2020-03-26912Flames4Canucks3LXXR5Sommaire du Match
178 - 2020-03-31936Kings3Canucks2LXXR5Sommaire du Match
181 - 2020-04-03951Ducks2Canucks1LSommaire du Match
186 - 2020-04-08972Wild2Canucks1LSommaire du Match
187 - 2020-04-09973Canucks7Maple Leafs1WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance77,35237,358
Assistance PCT94.33%91.12%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2798 - 93.26% 94,632$3,879,902$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,569,784$ 2,910,083$ 1,600,083$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
15,316$ 3,019,743$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 18,211$ 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
Saison Régulière
1378233404368214252-3839111703134115130-153912170123499122-23462143655794042837917260182590183788257285366921793025016.56%3076479.15%5954202847.04%885187547.20%570111850.98%1741101216747141355679
1482303402448206224-1841141801224100113-1341161601224106111-58420635756320536483102637805899920532616782105223023474914.12%3657878.63%41074210051.14%1115219550.80%534107449.72%1796102517617731425714
Total Saison Régulière16053680671016420476-5680253504358215243-2880283302458205233-281304207221142609514716227523816301800175714151881635172144816499915.25%67214278.87%92028412849.13%2000407049.14%1104219250.36%353720373436148827811394
Séries
12734000002124-3321000001192413000001015-56213657004980254669791025258691932514.00%27581.48%08920144.28%7418240.66%4811442.11%154891436412160
Total Séries734000002124-3321000001192413000001015-56213657004980254669791025258691932514.00%27581.48%08920144.28%7418240.66%4811442.11%154891436412160