Vancouver

DG: Samuel Gendron-Mallet Morale : 50 Moyenne d'Équipe : 64
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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
1Zach Parise (A)X100.00624382836679887835767965497161068720
2T.J. OshieX100.00644383796079927480747374685951071710
3Johnny Gaudreau (A)XX100.00503588894276887835827462554538070690
4Artem AnisimovX100.00563590726976887080687174535850070680
5Filip ForsbergXX100.00644383787173867244697473524239069680
6Marcus JohanssonXXX100.00543589767275937077716964455647070680
7Mika ZibanejadX100.00663588757774956883666965654742070670
8Cody EakinXX100.00613583756273956382596773454741070650
9J.T. MillerXXX100.00705082777167866379586862454641061640
10Andre BurakovskyXXX100.00523590756963756244586564453735070610
11William NylanderXXX100.00473589796158374964455268423532072550
12Zach HymanXX100.00503570686958364450404870483532064520
13Kristopher LetangX100.00714373836587867335806583666662073740
14Drew Doughty (C)X100.00704380756391956635726088456458067730
15Matt NiskanenX100.00724383706580955635634985456657072700
16Andy GreeneX100.00635087676082955135524989486455054680
17Stephane RobidasX100.0077437964606562443545438447756505964X0
18Nathan BeaulieuX100.00645676696867634835524367484340057600
Rayé
1Paul GaustadXX100.0069657862816280488945507248696006160X0
2Viktor Loov (R)X96.96543595636947353335333271483532049520
MOYENNE D'ÉQUIPE99.8062428374667279615460607350534706665
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
1John Gibson99.0074459187717067687376834237012670
2Zachary Fucale (R)100.0045454566454545454545453230020460
Rayé
MOYENNE D'ÉQUIPE99.506045687758585657596164373401657
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette89948893999994USA512500,000$


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
1Kristopher LetangVancouverD82205575-8128101281191610012.42%88196123.931521361203780223277210.00%000000.7613100542
2Johnny GaudreauVancouverLW/RW82224567-11120481032010010.95%3153818.7631518563650000145332.28%12700000.8724000552
3Drew DoughtyVancouverD82174764-1787151361131400012.14%129207825.35111324913660002323400.00%000000.6200120444
4Filip ForsbergVancouverLW/RW8229326178115138822030014.29%11147818.0371219623270000635232.71%10700010.8311012366
5Zach PariseVancouverLW82263157-176410134872530010.28%5142917.4451318663310000151131.93%11900010.8013002415
6Matt NiskanenVancouverD821530451210020109791060014.15%91182022.209817693190110268000.00%000000.4900112117
7Marcus JohanssonVancouverC/LW/RW82142640-4280681051270011.02%3133316.26691532278000140149.84%152300000.6000000211
8Artem AnisimovVancouverC822019393300471641460013.70%14147818.03224187410163733151.60%200200100.5300000312
9T.J. OshieVancouverRW822018380635124951500013.33%13148018.0665113218200082675146.79%10900000.5129001142
10Mika ZibanejadVancouverC8263036-3580113109151003.97%7123615.083131636286000030152.92%138700000.5837000001
11J.T. MillerVancouverC/LW/RW80141226-4953512273800017.50%4100912.62167151990000182051.32%30200000.5100214042
12Andy GreeneVancouverD7841721-112575506756007.14%101157720.23246181320001324000.00%000000.2700357001
13Stephane RobidasVancouverD7831720-59201123831009.68%63104813.44000110000061100.00%000000.3800000000
14Andre BurakovskyVancouverC/LW/RW8210515-71801648720013.89%36217.580111101011483139.51%8100000.4800000111
15Cody EakinVancouverC/LW827714-4180466485008.24%1485810.470002900052760251.91%13100000.3300000010
16Nathan BeaulieuVancouverD441783355331916006.25%2565514.89123781000117000.00%000000.2400001101
17Paul GaustadVancouverC/LW75167-34220785726003.85%56448.590000000011570156.25%65600000.2200211000
18William NylanderVancouverC/LW/RW34246340102426007.69%534310.09000170000461048.94%9400000.3500000010
19Viktor LoovVancouverD9000-400131000.00%711713.060000100001000.00%000000.0000000000
20Zach HymanVancouverLW/RW8000-100651000.00%38210.27000000000210050.00%1200000.0000000000
Stats d'équipe Total ou en Moyenne1390231408639-6110802101519145420320011.37%5942279416.40711241956273362235292585321550.63%665000120.561027101120303437
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
1John GibsonVancouver44211700.8843.1022814211810200010.917124217141
2Zachary FucaleVancouver205820.8194.2185540603320000.833121335000
Stats d'équipe Total ou en Moyenne64262520.8683.4131368217813520010.875245552141


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andre BurakovskyVancouverC/LW/RW201995-02-09No198 Lbs6 ft3NoNo3Contrat d'EntréePro & Farm925,000$925,000$925,000$Lien
Andy GreeneVancouverD321982-10-30No190 Lbs5 ft11NoNo4Sans RestrictionPro & Farm3,300,000$3,300,000$3,300,000$3,300,000$Lien
Artem AnisimovVancouverC271988-05-24No198 Lbs6 ft4NoNo1Avec RestrictionPro & Farm1,500,000$Lien
Cody EakinVancouverC/LW241991-05-24No190 Lbs6 ft0NoNo4Avec RestrictionPro & Farm2,600,000$2,600,000$2,600,000$2,600,000$Lien
Drew DoughtyVancouverD251989-12-08No195 Lbs6 ft1NoNo1Avec RestrictionPro & Farm4,500,000$Lien
Filip ForsbergVancouverLW/RW211994-08-13No205 Lbs6 ft1NoNo1Contrat d'EntréePro & Farm925,000$Lien
J.T. MillerVancouverC/LW/RW221993-03-14No205 Lbs6 ft1NoNo1Avec RestrictionPro & Farm925,000$Lien
John GibsonVancouverG221993-07-14No226 Lbs6 ft3NoNo2Avec RestrictionPro & Farm682,000$682,000$Lien
Johnny GaudreauVancouverLW/RW221993-08-13No157 Lbs5 ft9NoNo2Avec RestrictionPro & Farm925,000$925,000$Lien
Kristopher LetangVancouverD281987-04-24No201 Lbs6 ft0NoNo2Avec RestrictionPro & Farm4,000,000$4,000,000$Lien
Marcus JohanssonVancouverC/LW/RW241990-10-06No209 Lbs6 ft1NoNo4Avec RestrictionPro & Farm2,600,000$2,600,000$2,600,000$2,600,000$Lien
Matt NiskanenVancouverD281986-12-06No200 Lbs6 ft0NoNo6Avec RestrictionPro & Farm3,800,000$3,800,000$3,800,000$3,800,000$3,800,000$3,800,000$Lien
Mika ZibanejadVancouverC221993-04-18No222 Lbs6 ft2NoNo3Avec RestrictionPro & Farm1,600,000$1,600,000$1,600,000$Lien
Nathan BeaulieuVancouverD221992-12-05No205 Lbs6 ft2NoNo1Avec RestrictionPro & Farm925,000$Lien
Paul GaustadVancouverC/LW331982-02-03No227 Lbs6 ft5NoNo2Sans RestrictionPro & Farm1,400,000$1,400,000$Lien
Stephane Robidas (Contrat à 1 Volet)VancouverD381977-03-03No190 Lbs5 ft11NoNo2Sans RestrictionPro & Farm2,600,000$2,600,000$Lien
T.J. OshieVancouverRW281986-12-23No189 Lbs5 ft11NoNo1Avec RestrictionPro & Farm3,500,000$Lien
Viktor LoovVancouverD221992-11-16Yes212 Lbs6 ft1NoNo4Avec RestrictionPro & Farm693,000$693,000$693,000$693,000$Lien
William NylanderVancouverC/LW/RW191996-05-01No190 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Zach HymanVancouverLW/RW231992-06-09No202 Lbs6 ft0NoNo4Avec RestrictionPro & Farm900,000$900,000$900,000$900,000$Lien
Zach PariseVancouverLW311984-07-28No196 Lbs5 ft11YesNo6Sans RestrictionPro & Farm7,200,000$7,200,000$7,200,000$7,200,000$7,200,000$7,200,000$Lien
Zachary FucaleVancouverG201995-03-28Yes181 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm743,000$743,000$743,000$743,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2225.14199 Lbs6 ft12.822,144,000$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,168,000$34,893,000$25,286,000$22,761,000$11,000,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip ForsbergMarcus JohanssonJohnny Gaudreau40122
2William NylanderMika ZibanejadJ.T. Miller30122
3Zach PariseArtem AnisimovT.J. Oshie20122
4Zach HymanCody EakinAndre Burakovsky10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Drew DoughtyNathan Beaulieu40122
2Kristopher LetangMatt Niskanen30122
3Andy GreeneStephane Robidas20122
4Drew DoughtyKristopher Letang10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauMarcus JohanssonT.J. Oshie60122
2Zach PariseArtem AnisimovFilip Forsberg40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt NiskanenAndy Greene60122
2Stephane RobidasKristopher Letang40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1William NylanderJohnny Gaudreau60122
2Mika ZibanejadCody Eakin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andy GreeneMatt Niskanen60122
2Nathan BeaulieuDrew Doughty40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Artem Anisimov60122Drew DoughtyKristopher Letang60122
2William Nylander40122Andy GreeneMatt Niskanen40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1William NylanderZach Parise60122
2J.T. MillerJohnny Gaudreau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kristopher LetangDrew Doughty60122
2Matt NiskanenAndy Greene40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ForsbergWilliam NylanderJohnny GaudreauMatt NiskanenAndy Greene
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ForsbergWilliam NylanderJohnny GaudreauMatt NiskanenAndy Greene
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zach Hyman, Zach Parise, T.J. OshieJohnny Gaudreau, Marcus JohanssonWilliam Nylander
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nathan Beaulieu, Kristopher Letang, Drew DoughtyMatt NiskanenAndy Greene, Stephane Robidas
Tirs de Pénalité
Zach Hyman, Zach Parise, T.J. Oshie, Johnny Gaudreau, Marcus Johansson
Gardien
#1 : John Gibson, #2 : Zachary Fucale


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
Anaheim521000202317632000010171072010001067-180.8002339620078621565652451113326659325416.00%26676.92%01360270450.30%1279255550.06%652131349.66%13494111356433
Atlanta2020000035-21010000023-11010000012-100.00036900201044198170411528311119.09%14471.43%01360270450.30%1279255550.06%652131349.66%503444142513
Boston21000010642100000102111100000043141.00069150032026421192345212274215213.33%10370.00%01360270450.30%1279255550.06%652131349.66%503347162614
Buffalo211000006601010000023-11100000043120.5006121800420045131616044629458225.00%12283.33%01360270450.30%1279255550.06%652131349.66%483246152512
Calgary513000011520-530200001815-72110000075230.30015274201103201214332463130276510623626.09%23960.87%01360270450.30%1279255550.06%652131349.66%12384118376331
Philadelphie20200000410-61010000015-41010000035-200.00047110021105922162105622354111327.27%15473.33%01360270450.30%1279255550.06%652131349.66%493445152411
Chicago32100000990110000004222110000057-240.667915240033305620171908218295416425.00%13284.62%01360270450.30%1279255550.06%652131349.66%654274233918
Colorado31200000815-71100000054120200000311-820.3338142200242050161420010431575015426.67%25868.00%01360270450.30%1279255550.06%652131349.66%634079233717
Kansas City320010001174210010007521100000042261.0001120310015417022182917430345717211.76%17288.24%11360270450.30%1279255550.06%652131349.66%735070223718
Detroit2020000048-41010000012-11010000036-300.0004812003100571820190432425359222.22%10460.00%01360270450.30%1279255550.06%652131349.66%463249142411
Edmonton51301000914-52010100046-23120000058-340.40091524003321130335044314551538528414.29%23482.61%01360270450.30%1279255550.06%652131349.66%12384117386130
Islanders2020000049-51010000024-21010000025-300.000471100202039171390481520361000.00%10370.00%01360270450.30%1279255550.06%652131349.66%473246152513
LA Kings41300000611-52110000046-22020000025-320.250612180022201153832450992065771715.88%23291.30%01360270450.30%1279255550.06%652131349.66%976692295025
Minnesota30300000712-52020000047-31010000035-200.000712191023207125202606235334610110.00%100100.00%01360270450.30%1279255550.06%652131349.66%765567203517
Hartford21000010532100000103211100000021141.0005813000312541222193521733391417.14%9188.89%01360270450.30%1279255550.06%652131349.66%564042152612
Ottawa21100000853110000006241010000023-120.500813210052105820211706321154611218.18%50100.00%01360270450.30%1279255550.06%652131349.66%523743132413
Pittsburgh21000001871110000005321000000134-130.75081523002330571916205528214012433.33%7271.43%01360270450.30%1279255550.06%652131349.66%543845142513
Rangers22000000523110000002021100000032141.00057120123004917181403412303213215.38%30100.00%01360270450.30%1279255550.06%652131349.66%574035142615
San Jose5400001026111532000010178922000000936101.000264672019971141454149996294111325416.00%16475.00%01360270450.30%1279255550.06%652131349.66%14110098356434
St-Louis30300000614-81010000025-32020000049-500.000611170023106419222308424425217317.65%15286.67%01360270450.30%1279255550.06%652131349.66%694771243818
Tampa Bay2020000057-21010000023-11010000034-100.00059140021204691918050173537400.00%10280.00%11360270450.30%1279255550.06%652131349.66%483246142512
Toronto21000010642110000003211000001032141.0006814001221531118198351324381218.33%12283.33%01360270450.30%1279255550.06%652131349.66%553742152715
Quebec210000101064100000105411100000052341.0001017270023425316181834811175812433.33%6266.67%01360270450.30%1279255550.06%652131349.66%543843152714
Winnipeg312000001012-2211000008621010000026-420.3331018281042408933352106523514719421.05%16193.75%01360270450.30%1279255550.06%652131349.66%775364213719
Nashville541000002212102110000064233000000168880.8002238600178701323948450133437110527518.52%22290.91%01360270450.30%1279255550.06%652131349.66%12179112376534
Montreal20200000212-101010000015-41010000017-600.0002350001103517810072173427600.00%17758.82%01360270450.30%1279255550.06%652131349.66%392554152512
Washington20200000511-61010000024-21010000037-400.00059140032007930232604821272918316.67%11554.55%01360270450.30%1279255550.06%652131349.66%584238132312
Caroline2010100056-1100010004311010000013-220.50059140011215821112514716334710110.00%9188.89%01360270450.30%1279255550.06%652131349.66%584138142412
Las Vegas31200000912-31100000042220200000510-520.333917260024308730381909130596012216.67%27870.37%01360270450.30%1279255550.06%652131349.66%795563213619
Vs Division2913110103110185161565010215649714760001045369350.603101177278033833264795254255274267361963605791452416.55%1332779.70%01360270450.30%1279255550.06%652131349.66%740509651213369191
Vs Conference50202402031161166-5251190202190801025915000107186-15510.51016128444523545745512824194194312712983876659452514417.53%2565080.47%11360270450.30%1279255550.06%652131349.66%12478541144371632320
Since Last GM Reset82294103072247271-2441151703051133126741142400021114145-31800.48824743167824888465132132701685722512083634109815684277216.86%4169277.88%21360270450.30%1279255550.06%652131349.66%2076142818536081040530
Total82294103072247271-2441151703051133126741142400021114145-31800.48824743167824888465132132701685722512083634109815684277216.86%4169277.88%21360270450.30%1279255550.06%652131349.66%2076142818536081040530

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8280L1247431678213220836341098156824
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8229413072247271
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115173051133126
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4114240021114145
Derniers 10 Matchs
WLOTWOTL SOWSOL
251020
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4277216.86%4169277.88%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
7016857225188846513
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
1360270450.30%1279255550.06%652131349.66%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2076142818536081040530


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
4 - 2016-10-1517Calgary5Vancouver3LSommaire du Match
5 - 2016-10-1632Caroline3Vancouver4WXSommaire du Match
7 - 2016-10-1837St-Louis5Vancouver2LSommaire du Match
9 - 2016-10-2061Buffalo3Vancouver2LSommaire du Match
11 - 2016-10-2273Vancouver2LA Kings3LSommaire du Match
12 - 2016-10-2378Vancouver2Anaheim1WXXSommaire du Match
14 - 2016-10-2591Ottawa2Vancouver6WSommaire du Match
17 - 2016-10-28111Edmonton3Vancouver0LSommaire du Match
18 - 2016-10-29119Washington4Vancouver2LSommaire du Match
22 - 2016-11-02143Vancouver1Montreal7LSommaire du Match
23 - 2016-11-03153Vancouver2Ottawa3LSommaire du Match
25 - 2016-11-05163Vancouver3Toronto2WXXSommaire du Match
27 - 2016-11-07181Vancouver2Islanders5LSommaire du Match
28 - 2016-11-08184Vancouver3Rangers2WSommaire du Match
30 - 2016-11-10197Vancouver3Detroit6LSommaire du Match
33 - 2016-11-13224Kansas City2Vancouver3WSommaire du Match
35 - 2016-11-15240Rangers0Vancouver2WSommaire du Match
37 - 2016-11-17250Nashville0Vancouver3WSommaire du Match
39 - 2016-11-19264Chicago2Vancouver4WSommaire du Match
43 - 2016-11-23297Vancouver5Nashville3WSommaire du Match
45 - 2016-11-25307Vancouver4Kansas City2WSommaire du Match
46 - 2016-11-26319Vancouver2Colorado5LSommaire du Match
49 - 2016-11-29339Minnesota4Vancouver2LSommaire du Match
51 - 2016-12-01356Anaheim3Vancouver6WSommaire du Match
53 - 2016-12-03362Toronto2Vancouver3WSommaire du Match
56 - 2016-12-06390Vancouver2Hartford1WSommaire du Match
58 - 2016-12-08399Vancouver3Tampa Bay4LSommaire du Match
60 - 2016-12-10412Vancouver5Quebec2WSommaire du Match
61 - 2016-12-11423Vancouver3Washington7LSommaire du Match
63 - 2016-12-13440Vancouver1Caroline3LSommaire du Match
66 - 2016-12-16458Tampa Bay3Vancouver2LSommaire du Match
68 - 2016-12-18475Atlanta3Vancouver2LSommaire du Match
70 - 2016-12-20491Winnipeg3Vancouver1LSommaire du Match
72 - 2016-12-22504Winnipeg3Vancouver7WSommaire du Match
73 - 2016-12-23506Vancouver4Calgary5LSommaire du Match
78 - 2016-12-28531LA Kings3Vancouver4WSommaire du Match
80 - 2016-12-30547Anaheim4Vancouver7WSommaire du Match
81 - 2016-12-31550Vancouver2Edmonton4LSommaire du Match
83 - 2017-01-02564Colorado4Vancouver5WSommaire du Match
85 - 2017-01-04573Nashville4Vancouver3LSommaire du Match
87 - 2017-01-06589Calgary4Vancouver0LSommaire du Match
88 - 2017-01-07598Vancouver3Calgary0WSommaire du Match
91 - 2017-01-10615Vancouver3Las Vegas5LSommaire du Match
93 - 2017-01-12624Vancouver3Philadelphie5LSommaire du Match
96 - 2017-01-15653Hartford2Vancouver3WXXSommaire du Match
98 - 2017-01-17670Las Vegas2Vancouver4WSommaire du Match
101 - 2017-01-20690Quebec4Vancouver5WXXSommaire du Match
103 - 2017-01-22706Vancouver3Chicago2WSommaire du Match
106 - 2017-01-25726Vancouver1Colorado6LSommaire du Match
107 - 2017-01-26736Vancouver6Nashville4WSommaire du Match
114 - 2017-02-02765San Jose1Vancouver4WSommaire du Match
116 - 2017-02-04782Minnesota3Vancouver2LSommaire du Match
119 - 2017-02-07798Vancouver2Las Vegas5LSommaire du Match
121 - 2017-02-09811Vancouver1Atlanta2LSommaire du Match
123 - 2017-02-11815Vancouver4Boston3WSommaire du Match
124 - 2017-02-12833Vancouver4Buffalo3WSommaire du Match
126 - 2017-02-14837Vancouver3Pittsburgh4LXXSommaire du Match
128 - 2017-02-16850Vancouver3St-Louis4LSommaire du Match
130 - 2017-02-18867Calgary6Vancouver5LXXSommaire du Match
131 - 2017-02-19876Philadelphie5Vancouver1LSommaire du Match
137 - 2017-02-25904San Jose5Vancouver10WSommaire du Match
140 - 2017-02-28923Detroit2Vancouver1LSommaire du Match
142 - 2017-03-02945Vancouver3San Jose0WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2017-03-04961Vancouver0LA Kings2LSommaire du Match
145 - 2017-03-05967Vancouver4Anaheim6LSommaire du Match
147 - 2017-03-07980Montreal5Vancouver1LSommaire du Match
149 - 2017-03-09988Islanders4Vancouver2LSommaire du Match
151 - 2017-03-111000Pittsburgh3Vancouver5WSommaire du Match
153 - 2017-03-131021Boston1Vancouver2WXXSommaire du Match
156 - 2017-03-161047Kansas City3Vancouver4WXSommaire du Match
158 - 2017-03-181061Vancouver3Edmonton2WSommaire du Match
161 - 2017-03-211084Vancouver2Chicago5LSommaire du Match
163 - 2017-03-231095Vancouver1St-Louis5LSommaire du Match
165 - 2017-03-251105Vancouver3Minnesota5LSommaire du Match
166 - 2017-03-261120Vancouver2Winnipeg6LSommaire du Match
168 - 2017-03-281135Anaheim3Vancouver4WXXSommaire du Match
171 - 2017-03-311155LA Kings3Vancouver0LSommaire du Match
173 - 2017-04-021172San Jose2Vancouver3WXXSommaire du Match
175 - 2017-04-041186Vancouver6San Jose3WSommaire du Match
177 - 2017-04-061205Vancouver5Nashville1WSommaire du Match
179 - 2017-04-081218Edmonton3Vancouver4WXSommaire du Match
180 - 2017-04-091228Vancouver0Edmonton2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna50007000400040002000
Prix des Billets100604020200
Assistance20500021965810533616400053842
Attendance PCT100.00%76.54%64.23%100.00%65.66%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 18240 - 82.91% 1,266,861$51,941,320$22000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
47,168,000$ 47,084,459$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
51,961,480$ 260,597$ 51,458,703$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 263,359$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 53,912,333$ 81,247,331$ 81,247,331$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Zach PariseAGE:31PO:0OV:72
Johnny GaudreauAGE:22PO:0OV:69
Filip ForsbergAGE:21PO:0OV:68
Marcus JohanssonAGE:24PO:0OV:68
Cody EakinAGE:24PO:0OV:65
J.T. MillerAGE:22PO:0OV:64
Andre BurakovskyAGE:20PO:0OV:61
Paul GaustadAGE:33PO:0OV:60
Iiro PakarinenAGE:24PO:0OV:56
William NylanderAGE:19PO:0OV:55
Zach HymanAGE:23PO:0OV:52
Micheal HaleyAGE:29PO:0OV:51
*Jason DickinsonAGE:20PO:0OV:50
*Brendan WoodsAGE:23PO:0OV:48
*Sebastian WannstromAGE:24PO:0OV:45
*Ben JohnsonAGE:21PO:0OV:43
Ben HanowskiAGE:24PO:0OV:41
*Artur GavrusAGE:21PO:0OV:39
*Gustav PosslerAGE:20PO:0OV:39
*Cole UllyAGE:20PO:0OV:38
Artem AnisimovAGE:27PO:0OV:68
Marcus JohanssonAGE:24PO:0OV:68
Mika ZibanejadAGE:22PO:0OV:67
Cody EakinAGE:24PO:0OV:65
J.T. MillerAGE:22PO:0OV:64
Andre BurakovskyAGE:20PO:0OV:61
Paul GaustadAGE:33PO:0OV:60
William NylanderAGE:19PO:0OV:55
*Laurent DauphinAGE:20PO:0OV:52
Micheal HaleyAGE:29PO:0OV:51
Colin FraserAGE:30PO:0OV:50
*Jason DickinsonAGE:20PO:0OV:50
*Christoph BertschyAGE:21PO:0OV:48
*Brendan WoodsAGE:23PO:0OV:48
*Sebastian WannstromAGE:24PO:0OV:45
*Maxim LetunovAGE:19PO:0OV:44
*Ben JohnsonAGE:21PO:0OV:43
*Artur GavrusAGE:21PO:0OV:39
*Alexander KerfootAGE:21PO:0OV:38
Andreas EngqvistAGE:27PO:0OV:37
Carter CamperAGE:27PO:0OV:37
T.J. OshieAGE:28PO:0OV:71
Johnny GaudreauAGE:22PO:0OV:69
Filip ForsbergAGE:21PO:0OV:68
Marcus JohanssonAGE:24PO:0OV:68
J.T. MillerAGE:22PO:0OV:64
Andre BurakovskyAGE:20PO:0OV:61
Iiro PakarinenAGE:24PO:0OV:56
William NylanderAGE:19PO:0OV:55
Tyler PitlickAGE:23PO:0OV:52
Zach HymanAGE:23PO:0OV:52
Micheal HaleyAGE:29PO:0OV:51
*Christoph BertschyAGE:21PO:0OV:48
*Sebastian WannstromAGE:24PO:0OV:45
*Chris CalnanAGE:21PO:0OV:44
Ben HanowskiAGE:24PO:0OV:41
*Daniel ZaarAGE:21PO:0OV:39
*Gustav PosslerAGE:20PO:0OV:39
*Alexander KerfootAGE:21PO:0OV:38
*Cole UllyAGE:20PO:0OV:38
Spencer AbbottAGE:27PO:0OV:37

Défense #1Défense #2Gardien
Kristopher LetangAGE:28PO:0OV:74
Drew DoughtyAGE:25PO:0OV:73
Matt NiskanenAGE:28PO:0OV:70
Andy GreeneAGE:32PO:0OV:68
Stephane RobidasAGE:38PO:0OV:64
Nathan BeaulieuAGE:22PO:0OV:60
Keith AulieAGE:26PO:0OV:54
Jack HillenAGE:29PO:0OV:53
*Viktor LoovAGE:22PO:0OV:52
*Dillon FournierAGE:21PO:0OV:45
*Jack GloverAGE:19PO:0OV:44
*Ben ThomasAGE:19PO:0OV:42
*Dylan LabbeAGE:20PO:0OV:42
*Stephen SilasAGE:23PO:0OV:41
*Dmitry SinitsynAGE:21PO:0OV:40
Matt CampanaleAGE:27PO:0OV:39
*Daniel WalcottAGE:21PO:0OV:38
John GibsonAGE:22PO:0OV:67
*Zachary FucaleAGE:20PO:0OV:46
Mikko KoskinenAGE:27PO:0OV:43
*Kaapo KahkonenAGE:19PO:0OV:43
*Igor ShesterkinAGE:19PO:0OV:42
*Brendan BurkeAGE:19PO:0OV:39

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Kyle CapobiancoVancouver201593
Lucas JohansenVancouver201622
Matej TomekVancouver201575

Choix au Repêchage

Année R1R2R3R4R5R6R7
2017Van Edm Van Pit Nas Van Nas Van Har Mon Van Ana LA Que Nas Was Win Mon Nas
2018Van Mon Van Chi Van Van Van Van Van
2019Van Van Van Van Van Van Van
2020Van Van Van Van Van Van Van
2021Van Van Van Van Van Van Van



[2016-09-16 21:13:39] - Jack Hillen was added to Vancouver.
[2016-09-16 21:13:43] - Carter Camper was added to Vancouver.
[2016-09-16 21:16:00] - Stephane Robidas was added to Vancouver.
[2016-09-16 21:16:01] - TRADE : From Hartford to Vancouver : Stephane Robidas (64).
[2016-09-16 21:16:01] - TRADE : From Vancouver to Hartford : Chad Johnson (65).
[2016-12-11 20:00:25] - New Record for Team's Most Shots (49) in 1 Game for Vancouver!
[2016-12-15 21:13:25] - Iiro Pakarinen was added to Vancouver.
[2016-12-15 21:13:26] - TRADE : From Anaheim to Vancouver : Iiro Pakarinen (56).
[2016-12-23 09:51:13] - J.T. Miller was added to Vancouver.
[2016-12-23 09:51:13] - William Nylander was added to Vancouver.
[2016-12-23 09:51:14] - TRADE : From Vancouver to Nashville : Grant Besse (39), Jack Johnson (68), Jonathan Huberdeau (68), Y:2017-RND:4-KC , Y:2017-RND:4-Van.
[2016-12-23 09:51:14] - TRADE : From Nashville to Vancouver : J.T. Miller (64), William Nylander (55).
[2017-01-20 20:00:22] - New Record for Team's Most Hits (35) in 1 Game for Vancouver!
[2017-01-24 20:47:17] - Cole Ully was added to Vancouver.
[2017-01-24 20:47:18] - TRADE : From Winnipeg to Vancouver : Cole Ully (38), Kyle Capobianco (P), Y:2018-RND:2-Mon.
[2017-01-24 20:47:18] - TRADE : From Vancouver to Winnipeg : Jimmy Howard (74).
[2017-01-28 08:49:10] - Jack Glover was added to Vancouver.
[2017-01-28 08:49:10] - TRADE : From Chicago to Vancouver : Jack Glover (44), Y:2018-RND:3-Chi.
[2017-01-28 08:49:10] - TRADE : From Vancouver to Chicago : Radim Vrbata (67).
[2017-02-25 20:00:26] - New Record for Team's Most Assists (19) in 1 Game for Vancouver!
[2017-02-25 20:00:26] - New Record for Team's Most Points (29) in 1 Game for Vancouver!
[2017-02-25 20:00:26] - New Record for Team's Most Goals (10) in 1 Game for Vancouver!
[2017-02-25 20:00:26] - New Record for Team's Most Assists (19) in 1 Game for Vancouver!
[2017-02-25 20:00:26] - New Record for Team's Most Points (29) in 1 Game for Vancouver!
[2017-04-09 20:02:09] - New Record for Team's Most Shots Blocked (17) in 1 Game for Vancouver!



Pas de Blessure ou de Suspension.


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
201682294103072247271-2441151703051133126741142400021114145-315824743167824888465132132701685722512083634109815684277216.86%4169277.88%21360270450.30%1279255550.06%652131349.66%2076142818536081040530
Total Saison Régulière82294103072247271-2441151703051133126741142400021114145-315824743167824888465132132701685722512083634109815684277216.86%4169277.88%21360270450.30%1279255550.06%652131349.66%2076142818536081040530