Philadelphie

DG: Emmanuel Tessier Morale : 58 Moyenne d'Équipe : 65
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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
1John Tavares (A)X100.00553583837380938387818462435646078730
2Andrew Ladd (C)X100.00685680747078947341727469576862080700
3Jakub VoracekXX100.00564380767477937641846861605949078700
4Ryan Nugent-HopkinsX100.00584386776178777580787172584840057690
5James van RiemsdykX100.00594387757377697535747565505849066680
6Andrew CoglianoXX100.00644387805669956135606272486352080650
7Colin WilsonXX100.00604388727670846444646361485446081640
8Shawn MatthiasXX100.00573588698368916182576468485750066640
9Teuvo TeravainenXXX100.00523588785465766174596268454440078620
10Emerson EtemXX100.00644390707365535435515663564741070580
11Manny MalhotraXX100.00553587657256664491424672477666060570
12Oskar SundqvistX100.00513588657351365046514864483535079540
13Marc-Edouard Vlasic (A)X100.00615680746782846235665889487261072720
14Tyler MyersX100.00655672648082915835595779485546080680
15Tyson BarrieX100.00594385846081946735736170564541078680
16Connor MurphyX100.00735081647071844635434981484536039630
17Dmitry OrlovX100.00664387756962595335555171484338079620
18Jyrki JokipakkaX100.00653588646966545335525375483532063600
Rayé
1Ben ChiarotX100.00714381647365594235434167484337019580
MOYENNE D'ÉQUIPE100.0061438572707176614961607050534606964
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
1Tuukka Rask100.0086999664888484908374855853048790
2Carter Hutton100.0064458675626255596983774139061620
Rayé
MOYENNE D'ÉQUIPE100.007572917075737075767981504605571
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Tippett99848399999994CAN552500,000$


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
1John TavaresPhiladelphieC8244559929260631802950014.92%4164720.091221337136200032008455.40%215700031.2011000779
2Andrew LaddPhiladelphieLW822940692211220178842180013.30%13158119.29819277034701142135337.96%13700010.8704202654
3Jakub VoracekPhiladelphieLW/RW821947662536099841870010.16%7149018.1751722443610111493230.26%15200000.8915000444
4Tyson BarriePhiladelphieD82174764244066891230013.82%70186922.80111627873630111283210.00%000000.6802000112
5Ryan Nugent-HopkinsPhiladelphieC7822416316555831832150010.23%12141318.12714215531101161593049.79%164300000.8904001456
6Tyler MyersPhiladelphieD821842601814535153791030017.48%97183522.3810919523231122322300.00%000000.6500313354
7James van RiemsdykPhiladelphieLW702625512446066681490017.45%3115416.508816412970000144230.00%6000000.8801000522
8Marc-Edouard VlasicPhiladelphieD82143751-110945901111270011.02%112196623.9861117873630003364500.00%000000.5200036311
9Andrew CoglianoPhiladelphieLW/RW8216264228555121771360011.76%18140917.191893322800021995026.72%11600000.6000100081
10Colin WilsonPhiladelphieC/LW84825337215637496008.33%7110313.1403344200011471137.67%66900000.6002001003
11Teuvo TeravainenPhiladelphieC/LW/RW82121325-132606098122009.84%9107213.07336161580003752040.65%27800000.4700000312
12Jyrki JokipakkaPhiladelphieD60215172560513829006.90%4185114.19123628000060000.00%000000.4001000000
13Dmitry OrlovPhiladelphieD403111492954824300010.00%2271417.8721314125000066200.00%000000.3900001010
14Shawn MatthiasPhiladelphieC/LW748412-936051100700011.43%889912.150000910121711050.34%88200000.2700000000
15Manny MalhotraPhiladelphieC/LW746511-132004170420014.29%1282711.1800021210121960155.25%40000000.2700000002
16Connor MurphyPhiladelphieD6155108151358950290017.24%5899816.380001110110170200.00%000000.2000313101
17Emerson EtemPhiladelphieLW/RW45336-3420352237008.11%24299.54000180000320127.59%2900000.2801000100
18Ben ChiarotPhiladelphieD25044134029155000.00%2334713.890000600008000.00%000000.2300000000
19Oskar SundqvistPhiladelphieC81224-18100306454003.70%46498.02000010000660037.84%62100000.1200000000
Stats d'équipe Total ou en Moyenne134825444770113410531551416151020670012.29%5222226216.52741322065843364369302801461548.05%714400040.632219517384041
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
1Tuukka RaskPhiladelphie72412250.9032.4740846516817400310.647176913833
2Carter HuttonPhiladelphie174720.8573.6479200483360000.33331351000
Stats d'équipe Total ou en Moyenne89452970.8962.6648776521620760310.600208264833


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
Andrew CoglianoPhiladelphieLW/RW281987-06-14No184 Lbs5 ft10NoNo6Avec RestrictionPro & Farm2,400,000$2,400,000$2,400,000$2,400,000$2,400,000$2,400,000$Lien
Andrew LaddPhiladelphieLW291985-12-12No200 Lbs6 ft3NoNo4Avec RestrictionPro & Farm4,500,000$4,500,000$4,500,000$4,500,000$Lien
Ben ChiarotPhiladelphieD241991-05-09No219 Lbs6 ft3NoNo2Avec RestrictionPro & Farm800,000$800,000$Lien
Carter HuttonPhiladelphieG291985-12-19No201 Lbs6 ft1NoNo1Avec RestrictionPro & Farm900,000$Lien
Colin WilsonPhiladelphieC/LW251989-10-20No221 Lbs6 ft1NoNo1Avec RestrictionPro & Farm1,710,000$Lien
Connor MurphyPhiladelphieD221993-03-26No212 Lbs6 ft4NoNo2Avec RestrictionPro & Farm925,000$925,000$Lien
Dmitry OrlovPhiladelphieD241991-07-23No212 Lbs6 ft0NoNo3Avec RestrictionPro & Farm1,900,000$1,900,000$1,900,000$Lien
Emerson EtemPhiladelphieLW/RW231992-06-16No212 Lbs6 ft1NoNo1Avec RestrictionPro & Farm900,000$Lien
Jakub VoracekPhiladelphieLW/RW261989-08-15No214 Lbs6 ft2NoNo1Avec RestrictionPro & Farm3,500,000$Lien
James van RiemsdykPhiladelphieLW261989-05-04No209 Lbs6 ft3NoNo2Avec RestrictionPro & Farm3,800,000$4,000,000$Lien
John TavaresPhiladelphieC251990-09-20No211 Lbs6 ft1YesNo2Avec RestrictionPro & Farm5,000,000$5,000,000$Lien
Jyrki JokipakkaPhiladelphieD241991-08-20No210 Lbs6 ft3NoNo3Avec RestrictionPro & Farm728,000$728,000$728,000$Lien
Manny MalhotraPhiladelphieC/LW351980-05-18No207 Lbs6 ft2NoNo1Sans RestrictionPro & Farm750,000$Lien
Marc-Edouard VlasicPhiladelphieD281987-03-30No205 Lbs6 ft1NoNo1Avec RestrictionPro & Farm3,500,000$Lien
Oskar SundqvistPhiladelphieC211994-03-23No209 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm667,000$667,000$667,000$667,000$Lien
Ryan Nugent-HopkinsPhiladelphieC221993-04-12No189 Lbs6 ft0NoNo4Avec RestrictionPro & Farm4,800,000$4,800,000$4,800,000$4,800,000$Lien
Shawn MatthiasPhiladelphieC/LW271988-02-19No231 Lbs6 ft4NoNo1Avec RestrictionPro & Farm1,400,000$Lien
Teuvo TeravainenPhiladelphieC/LW/RW211994-09-11No178 Lbs5 ft11NoNo2Contrat d'EntréePro & Farm925,000$925,000$Lien
Tuukka RaskPhiladelphieG281987-03-10No176 Lbs6 ft3YesNo2Avec RestrictionPro & Farm6,000,000$6,000,000$Lien
Tyler MyersPhiladelphieD251990-02-01No229 Lbs6 ft8NoNo2Avec RestrictionPro & Farm4,400,000$4,400,000$Lien
Tyson BarriePhiladelphieD241991-07-26No190 Lbs5 ft10NoNo2Avec RestrictionPro & Farm4,400,000$4,400,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.52206 Lbs6 ft22.242,566,905$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
53,905,000$41,445,000$14,995,000$12,367,000$2,400,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andrew LaddJohn TavaresJakub Voracek30014
2James van RiemsdykRyan Nugent-HopkinsTeuvo Teravainen30023
3Colin WilsonShawn MatthiasAndrew Cogliano25032
4Manny MalhotraOskar SundqvistEmerson Etem15131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc-Edouard VlasicTyson Barrie35122
2Connor MurphyTyler Myers35122
3Jyrki JokipakkaDmitry Orlov30230
4Tyson BarrieTyler Myers0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1James van RiemsdykJohn TavaresJakub Voracek50005
2Andrew LaddRyan Nugent-HopkinsTeuvo Teravainen50005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc-Edouard VlasicTyson Barrie50014
2Dmitry OrlovTyler Myers50014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Shawn MatthiasColin Wilson60050
2Oskar SundqvistManny Malhotra40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc-Edouard VlasicTyson Barrie50050
2Connor MurphyTyler Myers50050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Shawn Matthias50050Marc-Edouard VlasicTyler Myers50050
2Ryan Nugent-Hopkins50050Tyson BarrieConnor Murphy50050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Shawn MatthiasJakub Voracek50023
2Teuvo TeravainenAndrew Cogliano50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc-Edouard VlasicTyson Barrie50032
2Dmitry OrlovTyler Myers50032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrew LaddJohn TavaresJakub VoracekMarc-Edouard VlasicTyson Barrie
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrew LaddJohn TavaresAndrew CoglianoMarc-Edouard VlasicTyler Myers
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
John Tavares, Andrew Ladd, Jakub VoracekJohn Tavares, Jakub VoracekAndrew Cogliano
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Marc-Edouard Vlasic, Tyler Myers, Tyson BarrieTyson BarrieMarc-Edouard Vlasic, Tyler Myers
Tirs de Pénalité
Jakub Voracek, Colin Wilson, Andrew Ladd, Tyson Barrie, Emerson Etem
Gardien
#1 : Tuukka Rask, #2 : Carter Hutton


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
Anaheim210000015501000000112-11100000043130.750591400131257162812852132342500.00%9188.89%01230261047.13%1363269850.52%636129649.07%523747152512
Atlanta412000011214-22010000148-42110000086230.37512203200255010235293827525448229413.79%16662.50%01230261047.13%1363269850.52%636129649.07%1006893315026
Boston320000011293110000005322100000176150.8331220320063308330183539323614815213.33%17382.35%01230261047.13%1363269850.52%636129649.07%795568213719
Buffalo321000008621010000024-22200000062440.667816240012508022273108118366011218.18%17194.12%01230261047.13%1363269850.52%636129649.07%704770233820
Calgary21100000651110000005231010000013-220.50069150020403911101806119334014428.57%14285.71%01230261047.13%1363269850.52%636129649.07%432648162714
Chicago21100000761110000004221010000034-120.500713200041204314131603614243914214.29%11281.82%11230261047.13%1363269850.52%636129649.07%452948172613
Colorado2020000039-61010000027-51010000012-100.00036900111041141890501436371000.00%11190.91%01230261047.13%1363269850.52%636129649.07%442951152411
Kansas City21001000972110000005411000100043141.00091625003321581127191551718348337.50%8275.00%01230261047.13%1363269850.52%636129649.07%463148162813
Detroit31200000910-1211000006421010000036-320.33391625006120823130210632137591616.25%13376.92%01230261047.13%1363269850.52%636129649.07%694670243919
Edmonton220000001046110000005321100000051441.0001020300034306013232404612183812541.67%8187.50%01230261047.13%1363269850.52%636129649.07%503542142614
Islanders4220000011110211000006512110000056-140.50011203100542010838373309626457417423.53%18383.33%01230261047.13%1363269850.52%636129649.07%1027287274925
LA Kings21100000963110000007251010000024-220.5009162500315059221522057831399222.22%11190.91%01230261047.13%1363269850.52%636129649.07%483245142613
Minnesota20200000512-71010000027-51010000035-200.00059140031106026181606318254215320.00%10190.00%01230261047.13%1363269850.52%636129649.07%483246152512
Hartford512011001316-32000110044031200000912-350.500132134003361111324234315238729326623.08%30873.33%01230261047.13%1363269850.52%636129649.07%11880120386433
Ottawa3110000189-1210000015321010000036-330.500813210123307527242278121246014321.43%12283.33%01230261047.13%1363269850.52%636129649.07%704774243919
Pittsburgh40301000712-52010100056-12020000026-420.250714210051017828193019734578514214.29%250100.00%01230261047.13%1363269850.52%636129649.07%865499325427
Rangers422000001192211000005412110000065140.50011193011245010336353208716577325416.00%20195.00%11230261047.13%1363269850.52%636129649.07%1006787295127
San Jose2010100034-1100010003211010000002-220.50036900110156248213501835471317.69%14285.71%01230261047.13%1363269850.52%636129649.07%513446162613
St-Louis21100000110110000001011010000001-120.50012301010043191311054162728500.00%110100.00%01230261047.13%1363269850.52%636129649.07%422851152612
Tampa Bay31100100911-2210001005411010000047-330.500914230025207419253009029525415213.33%21480.95%01230261047.13%1363269850.52%636129649.07%664376253817
Toronto32100000761110000003122110000045-140.66771118002410863131240651638452214.55%18288.89%01230261047.13%1363269850.52%636129649.07%775364243819
Vancouver220000001046110000005321100000051441.0001018280071205617122705913273715426.67%11372.73%01230261047.13%1363269850.52%636129649.07%453049152412
Quebec3110100012111210010009721010000034-140.6671222340052417017242818132605311327.27%24483.33%01230261047.13%1363269850.52%636129649.07%734969223718
Winnipeg220000001064110000006421100000042241.0001016260062205120181305513623914214.29%10370.00%01230261047.13%1363269850.52%636129649.07%483144152714
Nashville21001000642110000003211000100032141.000611170012214316121417010374110330.00%10190.00%01230261047.13%1363269850.52%636129649.07%493348142513
Montreal330000001257110000003032200000095461.0001223350135407614313107317425515426.67%18288.89%01230261047.13%1363269850.52%636129649.07%714768223919
Washington42200000131122020000069-32200000072540.50013253800814089272735010321608120315.00%29872.41%11230261047.13%1363269850.52%636129649.07%1016886295226
Caroline5300100122101232001000175122100000155090.90022426400125411284446338121327011828828.57%28292.86%01230261047.13%1363269850.52%636129649.07%12582113386734
Las Vegas21100000550110000003031010000025-320.5005712012210681720310491723391000.00%70100.00%01230261047.13%1363269850.52%636129649.07%523643132312
Vs Division30111303102898361546031014741615770000142420310.51789161250113723263719240235235147311924056061593119.50%1662883.13%21230261047.13%1363269850.52%636129649.07%734494689229390201
Vs Conference54242004204166150162711804202856718271312000028183-2620.574166296462136448504134543144545725135836975510402784917.63%3064983.99%21230261047.13%1363269850.52%636129649.07%13138871253417699355
Since Last GM Reset8238300720525522827412110052031371073041172002002118121-3970.59125545470915101717692079671680710382115571117415824327818.06%4516984.70%31230261047.13%1363269850.52%636129649.07%1983133719176331063539
Total8238300720525522827412110052031371073041172002002118121-3970.59125545470915101717692079671680710382115571117415824327818.06%4516984.70%31230261047.13%1363269850.52%636129649.07%1983133719176331063539

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8297W1255454709207921155711174158215
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8238307205255228
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121105203137107
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4117202002118121
Derniers 10 Matchs
WLOTWOTL SOWSOL
261001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4327818.06%4516984.70%3
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
6716807103810171769
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
1230261047.13%1363269850.52%636129649.07%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1983133719176331063539


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
3 - 2016-10-1416Philadelphie2LA Kings4LSommaire du Match
4 - 2016-10-1529Philadelphie3Nashville2WXSommaire du Match
7 - 2016-10-1846Philadelphie3Chicago4LSommaire du Match
9 - 2016-10-2052Anaheim2Philadelphie1LXXSommaire du Match
11 - 2016-10-2267Caroline2Philadelphie3WXSommaire du Match
13 - 2016-10-2481Philadelphie6Montreal3WSommaire du Match
14 - 2016-10-2585Buffalo4Philadelphie2LSommaire du Match
16 - 2016-10-2799Nashville2Philadelphie3WSommaire du Match
18 - 2016-10-29115Pittsburgh3Philadelphie4WXSommaire du Match
19 - 2016-10-30125Philadelphie3Caroline2WSommaire du Match
22 - 2016-11-02144Detroit3Philadelphie1LSommaire du Match
23 - 2016-11-03150Philadelphie3Islanders2WSommaire du Match
25 - 2016-11-05164Philadelphie3Montreal2WSommaire du Match
28 - 2016-11-08185Detroit1Philadelphie5WSommaire du Match
31 - 2016-11-11207Philadelphie2Toronto1WSommaire du Match
32 - 2016-11-12220Minnesota7Philadelphie2LSommaire du Match
35 - 2016-11-15233Ottawa0Philadelphie3WSommaire du Match
37 - 2016-11-17254Winnipeg4Philadelphie6WSommaire du Match
39 - 2016-11-19265Tampa Bay3Philadelphie2LXSommaire du Match
42 - 2016-11-22283Philadelphie3Quebec4LSommaire du Match
43 - 2016-11-23294Philadelphie4Tampa Bay7LSommaire du Match
45 - 2016-11-25309Rangers1Philadelphie0LSommaire du Match
47 - 2016-11-27324Calgary2Philadelphie5WSommaire du Match
49 - 2016-11-29331Boston3Philadelphie5WSommaire du Match
51 - 2016-12-01349Philadelphie3Ottawa6LSommaire du Match
53 - 2016-12-03368Chicago2Philadelphie4WSommaire du Match
54 - 2016-12-04373Philadelphie2Las Vegas5LSommaire du Match
56 - 2016-12-06383Quebec5Philadelphie6WXSommaire du Match
58 - 2016-12-08397Edmonton3Philadelphie5WSommaire du Match
60 - 2016-12-10417Kansas City4Philadelphie5WSommaire du Match
61 - 2016-12-11422Philadelphie3Detroit6LSommaire du Match
64 - 2016-12-14444Philadelphie1Colorado2LSommaire du Match
67 - 2016-12-17460Philadelphie4Kansas City3WXSommaire du Match
69 - 2016-12-19476Las Vegas0Philadelphie3WSommaire du Match
71 - 2016-12-21493Washington5Philadelphie3LSommaire du Match
72 - 2016-12-22496Philadelphie2Hartford4LSommaire du Match
78 - 2016-12-28530Philadelphie0St-Louis1LSommaire du Match
80 - 2016-12-30545Philadelphie0San Jose2LSommaire du Match
82 - 2017-01-01561Philadelphie4Anaheim3WSommaire du Match
85 - 2017-01-04576Rangers3Philadelphie5WSommaire du Match
88 - 2017-01-07601Tampa Bay1Philadelphie3WSommaire du Match
89 - 2017-01-08605Philadelphie4Atlanta5LSommaire du Match
91 - 2017-01-10619Philadelphie2Buffalo1WSommaire du Match
93 - 2017-01-12624Vancouver3Philadelphie5WSommaire du Match
95 - 2017-01-14640Philadelphie4Boston2WSommaire du Match
96 - 2017-01-15655Philadelphie2Washington1WSommaire du Match
102 - 2017-01-21695Hartford2Philadelphie1LXSommaire du Match
103 - 2017-01-22705Philadelphie2Islanders4LSommaire du Match
106 - 2017-01-25725Philadelphie3Rangers0WSommaire du Match
107 - 2017-01-26728Toronto1Philadelphie3WSommaire du Match
112 - 2017-01-31749Philadelphie2Caroline3LXXSommaire du Match
114 - 2017-02-02759Montreal0Philadelphie3WSommaire du Match
116 - 2017-02-04772LA Kings2Philadelphie7WSommaire du Match
118 - 2017-02-06787St-Louis0Philadelphie1WSommaire du Match
121 - 2017-02-09809Islanders2Philadelphie5WSommaire du Match
123 - 2017-02-11817San Jose2Philadelphie3WXSommaire du Match
127 - 2017-02-15845Philadelphie1Calgary3LSommaire du Match
128 - 2017-02-16852Philadelphie5Edmonton1WSommaire du Match
131 - 2017-02-19876Philadelphie5Vancouver1WSommaire du Match
134 - 2017-02-22892Washington4Philadelphie3LSommaire du Match
137 - 2017-02-25909Philadelphie1Pittsburgh3LSommaire du Match
140 - 2017-02-28928Colorado7Philadelphie2LSommaire du Match
142 - 2017-03-02938Quebec2Philadelphie3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2017-03-04957Philadelphie5Washington1WSommaire du Match
147 - 2017-03-07973Philadelphie4Buffalo1WSommaire du Match
149 - 2017-03-09992Philadelphie2Toronto4LSommaire du Match
151 - 2017-03-111002Philadelphie3Boston4LXXSommaire du Match
153 - 2017-03-131018Atlanta5Philadelphie4LXXSommaire du Match
155 - 2017-03-151033Pittsburgh3Philadelphie1LSommaire du Match
156 - 2017-03-161039Philadelphie5Hartford3WSommaire du Match
159 - 2017-03-191069Caroline2Philadelphie6WSommaire du Match
161 - 2017-03-211083Philadelphie4Winnipeg2WSommaire du Match
163 - 2017-03-231097Philadelphie3Minnesota5LSommaire du Match
165 - 2017-03-251116Philadelphie4Atlanta1WSommaire du Match
166 - 2017-03-261117Philadelphie1Pittsburgh3LSommaire du Match
168 - 2017-03-281128Ottawa3Philadelphie2LXXSommaire du Match
170 - 2017-03-301147Islanders3Philadelphie1LSommaire du Match
172 - 2017-04-011161Hartford2Philadelphie3WXSommaire du Match
173 - 2017-04-021173Philadelphie3Rangers5LSommaire du Match
175 - 2017-04-041188Philadelphie2Hartford5LSommaire du Match
179 - 2017-04-081208Atlanta3Philadelphie0LSommaire du Match
180 - 2017-04-091225Caroline1Philadelphie8WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna70005000250038371200
Prix des Billets110806050150
Assistance2605121723918249014650549200
Attendance PCT90.77%84.09%80.48%93.13%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17344 - 88.77% 1,365,989$56,005,560$19537100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
55,405,000$ 55,330,000$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
57,620,401$ 306,105$ 57,117,704$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 308,867$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 59,416,447$ 102,106,726$ 102,106,726$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Andrew LaddAGE:29PO:0OV:70
Jakub VoracekAGE:26PO:0OV:70
James van RiemsdykAGE:26PO:0OV:68
Andrew CoglianoAGE:28PO:0OV:65
Colin WilsonAGE:25PO:0OV:64
Shawn MatthiasAGE:27PO:0OV:64
Teuvo TeravainenAGE:21PO:0OV:62
Emerson EtemAGE:23PO:0OV:58
Manny MalhotraAGE:35PO:0OV:57
Chris PorterAGE:31PO:0OV:55
*Michael MerschAGE:23PO:0OV:53
*Valentin ZykovAGE:20PO:0OV:46
*Christian DvorakAGE:19PO:0OV:45
Matt CookeAGE:37PO:0OV:24
John TavaresAGE:25PO:0OV:73
Ryan Nugent-HopkinsAGE:22PO:0OV:69
Colin WilsonAGE:25PO:0OV:64
Shawn MatthiasAGE:27PO:0OV:64
Teuvo TeravainenAGE:21PO:0OV:62
Manny MalhotraAGE:35PO:0OV:57
Oskar SundqvistAGE:21PO:0OV:54
*Christian DvorakAGE:19PO:0OV:45
*Michael AmadioAGE:19PO:0OV:44
*Christoffer EhnAGE:19PO:0OV:41
Jakub VoracekAGE:26PO:0OV:70
Andrew CoglianoAGE:28PO:0OV:65
Teuvo TeravainenAGE:21PO:0OV:62
Chris NeilAGE:36PO:0OV:58
Emerson EtemAGE:23PO:0OV:58
Jordin TootooAGE:32PO:0OV:56
Shawn ThorntonAGE:38PO:0OV:55
Brandon KozunAGE:25PO:0OV:51
Brian FerlinAGE:23PO:0OV:48
*Valentin ZykovAGE:20PO:0OV:46
*Sebastian CollbergAGE:21PO:0OV:45
*Austin PoganskiAGE:19PO:0OV:42
Jared StaalAGE:25PO:0OV:38
Matt CookeAGE:37PO:0OV:24

Défense #1Défense #2Gardien
Marc-Edouard VlasicAGE:28PO:0OV:72
Tyler MyersAGE:25PO:0OV:68
Tyson BarrieAGE:24PO:0OV:68
Connor MurphyAGE:22PO:0OV:63
Dmitry OrlovAGE:24PO:0OV:62
Jyrki JokipakkaAGE:24PO:0OV:60
Ben ChiarotAGE:24PO:0OV:58
Chris WidemanAGE:25PO:0OV:55
*Haydn FleuryAGE:19PO:0OV:53
Arturs KuldaAGE:27PO:0OV:43
*Matt GrzelcykAGE:21PO:0OV:43
*Dillon SimpsonAGE:22PO:0OV:42
Nick PetreckiAGE:26PO:0OV:39
*Maxim ChudinovAGE:25PO:0OV:39
Tuukka RaskAGE:28PO:0OV:79
Carter HuttonAGE:29PO:0OV:62
Curtis McElhinneyAGE:32PO:0OV:59
Mike McKennaAGE:32PO:0OV:48
*Brandon HalversonAGE:19PO:0OV:45
*Philippe DesrosiersAGE:20PO:0OV:45

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
Alexandre CarrierPhiladelphie2015143
Connor BunnamanPhiladelphie2016146
Givani SmithPhiladelphie201656
Jordy StallardPhiladelphie2016116
Martins DzierkalsPhiladelphie201583
Nicholas MerkleyPhiladelphie201523
Roope HintzPhiladelphie201580
Tyler BensonPhiladelphie201626

Choix au Repêchage

Année R1R2R3R4R5R6R7
2017Phi Phi Phi Bos Chi
2018Phi Phi Phi Phi Phi Phi Phi
2019Phi Phi Phi Phi Phi Phi Phi
2020Phi Phi Phi Phi Phi Phi Phi
2021Phi Phi Phi Phi Phi Phi Phi



[2016-09-16 21:16:29] - Jyrki Jokipakka was added to Philadelphie.
[2016-09-16 21:16:30] - TRADE : From Philadelphie to Washington : Andreas Athanasiou (54), Y:2017-RND:4-Phi.
[2016-09-16 21:16:30] - TRADE : From Washington to Philadelphie : Jyrki Jokipakka (60), Y:2017-RND:7-Chi.
[2016-10-10 12:45:15] - General Manager Change : Philadelphie fired general manager J-F Langlais
[2016-10-10 12:45:15] - General Manager Change : Philadelphie hired general manager Samuel Lord
[2016-11-27 11:45:08] - General Manager Change : Philadelphie fired general manager Samuel Lord
[2016-11-27 11:45:08] - General Manager Change : Philadelphie hired general manager Emmanuel Tessier
[2016-12-02 20:00:17] - Unknown Player is no longer as assistant for Philadelphie.
[2016-12-02 20:00:17] - John Tavares has been selected as assistant for Philadelphie.
[2016-12-02 20:00:17] - John Tavares is no longer as assistant for Philadelphie.
[2016-12-02 20:00:17] - Andrew Cogliano has been selected as assistant for Philadelphie.
[2016-12-21 20:00:09] - Andrew Cogliano is no longer as assistant for Philadelphie.
[2016-12-21 20:00:09] - Marc-Edouard Vlasic has been selected as assistant for Philadelphie.
[2017-02-02 20:55:41] - Colin Wilson was added to Philadelphie.
[2017-02-02 20:55:41] - TRADE : From Philadelphie to Boston : Mike Green (68).
[2017-02-02 20:55:41] - TRADE : From Boston to Philadelphie : Colin Wilson (64), Y:2017-RND:4-Bos.
[2017-02-04 08:29:17] - Philadelphie paid 545 856 $ to release Cody Kunyk.
[2017-02-04 08:29:17] - Cody Kunyk was released.
[2017-02-04 08:29:28] - Philadelphie paid 709 392 $ to release Bobby Farnham.
[2017-02-04 08:29:28] - Bobby Farnham was released.



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
20168238300720525522827412110052031371073041172002002118121-37625545470915101717692079671680710382115571117415824327818.06%4516984.70%31230261047.13%1363269850.52%636129649.07%1983133719176331063539
Total Saison Régulière8238300720525522827412110052031371073041172002002118121-37625545470915101717692079671680710382115571117415824327818.06%4516984.70%31230261047.13%1363269850.52%636129649.07%1983133719176331063539