Penguins

DG: Ladislav Mozolic Morale : 54 Moyenne d'Équipe : 70
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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
1Alex OvechkinX100.00845880969196949864476460719094055790
2Patrick Marleau (C)XX100.00664499897592999086495268619899055750
3Artemi Panarin (R)XX100.00634183937589838863575560907171055720
4Antoine VermetteX100.00655378826985907099474867558591055690
5Ryan Nugent-HopkinsX100.00654286887690778187514867616666055690
6Kevin HayesXXX100.00654484829278896964484761506061055670
7Jimmy HayesXX100.00756079809379856861454761506465055670
8Vernon FiddlerXX100.00635284757074956690434574618286055670
9Mark LetestuXX100.00664397776483806996444475686970055670
10Pascal DupuisXX100.00704579768182676468404373639398048670
11Craig SmithX100.00684482816982967457455067606768055670
12Casey CizikasX100.00775585776876866687464376996566055670
13Travis HamonicX100.00825683858193887425474180507669055720
14Andrej SekeraX100.00704389866988937825484177508286055710
15Shayne Gostisbehere (R)X100.00674085907282708825514973507065055700
16Kevin BieksaX100.00818966847984837325434077507680055700
17Braydon CoburnX100.00766879799175796525433879508782055690
18David SchlemkoX100.00704287746778767625444276907567055660
Rayé
MOYENNE D'ÉQUIPE100.0071518483778485756047477163767705570
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
1Ryan Miller97.0074908587757674757974709089055780
2Michal Neuvirth100.0080818689857878797565657873055770
Rayé
MOYENNE D'ÉQUIPE98.507786868880777677777068848105578
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma79797486777880USA4541,000,000$


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'Équipe# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Alex OvechkinPenguinsPenguinsLW444834041781523.53%219.:.360000000100.00%2161002.0400
2Ryan Nugent-HopkinsPenguinsPenguinsC4167220451420.00%019.:.1601100000053.09%8121001.8200
3Artemi PanarinPenguinsPenguinsLW/RW44152203145728.57%019.:.3200000001033.33%360001.2800
4Shayne GostisbeherePenguinsPenguinsD4134100615776.67%923.:.451120000000.00%054000.8400
5Patrick MarleauPenguinsPenguinsC/LW4123100314397.14%017.:.251120000100.00%5104000.8600
6Kevin HayesPenguinsPenguinsC/LW/RW4112-100581612.50%111.:.3300000010066.67%360000.8700
7Kevin BieksaPenguinsPenguinsD402240067120.00%318.:.210000006000.00%021000.5400
8Andrej SekeraPenguinsPenguinsD4101400684712.50%520.:.571010009010.00%025000.2400
9Jimmy HayesPenguinsPenguinsLW/RW4101-120650520.00%011.:.060000000000.00%222000.4500
10Craig SmithPenguinsPenguinsRW401102062370.00%317.:.1201100000040.00%523000.2900
11Travis HamonicPenguinsPenguinsD400000097760.00%926.:.060000009000.00%006000.0000
12Antoine VermettePenguinsPenguinsC400002065140.00%317.:.1300000000057.14%4931000.0000
13Vernon FiddlerPenguinsPenguinsC/LW4000-10041020.00%314.:.24000000130057.89%1900000.0000
14Braydon CoburnPenguinsPenguinsD4000-30061130.00%415.:.420000006000.00%005000.0000
15David SchlemkoPenguinsPenguinsD4000-30043230.00%615.:.290000000000.00%001000.0000
16Mark LetestuPenguinsPenguinsC/RW400000025290.00%208.:.590000001000.00%060000.0000
17Pascal DupuisPenguinsPenguinsLW/RW500000042010.00%007.:.110000001000.00%031000.0000
18Casey CizikasPenguinsPenguinsC400002053210.00%011.:.28000000120037.04%2744000.0000
Stats d'équipe Total ou en Moyenne7314203481608984122489811.48%50118816.2834717690002633149.49%1966939000.5700000333
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
1Ryan MillerPenguinsPenguins220096.9%1.001200026537000.0%022100
2Michal NeuvirthPenguinsPenguins211090.2%2.981210066136010.0%022000
Stats d'équipe Total ou en Moyenne43100.9371.9924100812673010.000044100


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 POS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Ballotage Forcé Contrat Type 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
Alex OvechkinLW3117.09.1985No229 Lbs6 ft2NoNo2Pro & Farm9,000,000$0$9,000,000$Lien
Andrej SekeraD3008.06.1986No201 Lbs6 ft0NoNo1Pro & Farm2,400,000$0$Lien
Antoine VermetteC3420.07.1982No198 Lbs6 ft1YesNo1Pro & Farm3,200,000$0$Lien
Artemi PanarinLW/RW2430.10.1991 1:22:13Yes170 Lbs5 ft11YesNo1Pro & Farm2,800,000$0$Lien
Braydon CoburnD3127.02.1985No220 Lbs6 ft5NoNo2Pro & Farm2,800,000$0$2,800,000$Lien
Casey Cizikas (Contrat à 1 Volet)C2527.02.1991 6:56:46No201 Lbs5 ft11NoNo1Pro Only1,000,000$0$Lien
Craig SmithRW2705.09.1989 14:19:30No202 Lbs6 ft1NoNo2Pro & Farm2,600,000$0$2,600,000$Lien
David SchlemkoD2907.05.1987No190 Lbs5 ft11NoNo2Pro Only1,400,000$0$1,400,000$Lien
Jimmy HayesLW/RW2621.11.1989 6:36:38No221 Lbs6 ft6NoNo2Pro & Farm2,000,000$0$2,000,000$Lien
Kevin BieksaD3516.06.1981No198 Lbs6 ft1NoNo3Pro & Farm3,000,000$0$3,000,000$3,000,000$Lien
Kevin HayesC/LW/RW2408.05.1992 1:40:10No225 Lbs6 ft5NoNo1Pro Only1,500,000$0$Lien
Mark LetestuC/RW3104.02.1985No197 Lbs5 ft10NoNo1Pro & Farm1,800,000$0$Lien
Michal NeuvirthG2823.03.1988No209 Lbs6 ft1NoNo2Pro & Farm3,000,000$0$3,000,000$Lien
Pascal DupuisLW/RW3707.04.1979No205 Lbs6 ft1NoNo2Pro & Farm2,800,000$0$2,800,000$Lien
Patrick MarleauC/LW3715.09.1979No220 Lbs6 ft2NoNo3Pro & Farm5,600,000$0$5,600,000$5,600,000$Lien
Ryan MillerG3617.07.1980No168 Lbs6 ft2NoNo2Pro & Farm5,300,000$0$5,300,000$Lien
Ryan Nugent-HopkinsC2312.04.1993 14:44:38No190 Lbs6 ft0YesNo1Pro & Farm6,800,000$0$Lien
Shayne GostisbehereD2320.04.1993 23:48:02Yes160 Lbs5 ft11NoNo2Pro & Farm2,000,000$0$2,000,000$Lien
Travis HamonicD2616.08.1990No217 Lbs6 ft2NoNo1Pro & Farm2,800,000$0$Lien
Vernon FiddlerC/LW3609.05.1980No205 Lbs5 ft11NoNo2Pro & Farm1,800,000$0$1,800,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2029.65201 Lbs6 ft11.73,180,000$



Attaque à 5 contre 5
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Ryan Nugent-HopkinsAlex OvechkinArtemi Panarin45023
2Antoine VermettePatrick MarleauCraig Smith36023
3Vernon FiddlerJimmy HayesKevin Hayes12032
4Casey CizikasPascal DupuisMark Letestu7041
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shayne GostisbehereTravis Hamonic47122
2Andrej SekeraKevin Bieksa33131
3Braydon CoburnDavid Schlemko20140
4Travis HamonicAndrej Sekera0122
Attaque en Avantage Numérique
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Ryan Nugent-HopkinsAlex OvechkinArtemi Panarin70005
2Antoine VermettePatrick MarleauCraig Smith30014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis HamonicShayne Gostisbehere60014
2David SchlemkoAndrej Sekera40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Casey CizikasVernon Fiddler60140
2Mark LetestuPascal Dupuis40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis HamonicAndrej Sekera60140
2Braydon CoburnKevin Bieksa40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Casey Cizikas60122Travis HamonicAndrej Sekera60122
2Vernon Fiddler40122Shayne GostisbehereKevin Bieksa40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Patrick MarleauAlex Ovechkin60122
2Ryan Nugent-HopkinsArtemi Panarin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shayne GostisbehereTravis Hamonic60122
2Andrej SekeraKevin Bieksa40122
Attaque Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Patrick MarleauAlex OvechkinArtemi PanarinTravis HamonicShayne Gostisbehere
Défense Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Patrick MarleauAlex OvechkinArtemi PanarinTravis HamonicAndrej Sekera
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Nugent-Hopkins, Casey Cizikas, Kevin HayesRyan Nugent-Hopkins, Casey CizikasKevin Hayes
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Braydon Coburn, David Schlemko, Shayne GostisbehereBraydon CoburnDavid Schlemko, Shayne Gostisbehere
Tirs de Pénalité
Alex Ovechkin, Patrick Marleau, Artemi Panarin, Antoine Vermette, Ryan Nugent-Hopkins
Gardien
#1 : Ryan Miller, #2 : Michal Neuvirth


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
# VS Équipe 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 GF% SH% SV% PDO PDOBRK
1PenguinsRangers1000100043121.0004610001201311412413611422200.00%20100.00%0336650.00%367548.00%285550.91%2113267147
2PenguinsCanadiens1100000031221.0003470002103512815030124224375.00%20100.00%0336650.00%367548.00%285550.91%2517207147
3PenguinsAvalanche1010000024-200.0002241002002871380269424100.00%20100.00%0336650.00%367548.00%285550.91%1911248158
4PenguinsSharks1100000051421.000581300302028811903518421200.00%20100.00%0336650.00%367548.00%285550.91%2013257146
Vs Division1100000031221.0003470002103512815030124224375.00%20100.00%0336650.00%367548.00%285550.91%2517207147
Vs Conference2100100074341.0007101700141166262019166238446350.00%40100.00%0336650.00%367548.00%285550.91%463146142915
Since Last GM Reset42101000149560.75014203410463112241443611275016899333.33%80100.00%0336650.00%367548.00%285550.91%865696315929
Total42101000149560.75014203410463112241443611275016899333.33%80100.00%0336650.00%367548.00%285550.91%865696315929

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
46W214203412212750168910
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4211000149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000082
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
201100067
Derniers 10 Matchs
WLOTWOTL SOWSOL
211000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
9333.33%80100.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
41443614631
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
336650.00%367548.00%285550.91%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
865696315929


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
DateMatchup Result Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Sun, Nov 24Penguins@PenguinsPenguins2,Avalanche4RECAP
Mon, Nov 25Penguins@PenguinsPenguins4,Rangers3 (OT)RECAP
Thu, Nov 28Penguins@PenguinsCanadiens1,Penguins3RECAP
Fri, Nov 29Penguins@PenguinsSharks1,Penguins5RECAP



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna68743618452418031268
Prix des Billets95553525195
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$18087100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
63,600,000$ 3,200,000$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
0$ 0$ 0$ 0$

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

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 17,259,705$ 17,259,705$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Alex OvechkinAGE:31PO:0OV:79
Patrick MarleauAGE:37PO:0OV:75
*Artemi PanarinAGE:24PO:0OV:72
Kevin HayesAGE:24PO:0OV:67
Jimmy HayesAGE:26PO:0OV:67
Vernon FiddlerAGE:36PO:0OV:67
Pascal DupuisAGE:37PO:0OV:67
*Nikita SoshnikovAGE:23PO:0OV:60
Richard PanikAGE:24PO:0OV:59
*Alexander KhokhlachevAGE:23PO:0OV:58
Jayson MegnaAGE:26PO:0OV:57
Tanner KeroAGE:24PO:0OV:56
Marek HrivikAGE:25PO:0OV:56
Quinton HowdenAGE:24PO:0OV:56
Conor ShearyAGE:24PO:0OV:55
Nick PaulAGE:21PO:0OV:55
*Tyler MotteAGE:21PO:0OV:54
*Taylor LeierAGE:22PO:0OV:54
*Adam ErneAGE:21PO:0OV:53
Patrick MarleauAGE:37PO:0OV:75
Antoine VermetteAGE:34PO:0OV:69
Ryan Nugent-HopkinsAGE:23PO:0OV:69
Kevin HayesAGE:24PO:0OV:67
Vernon FiddlerAGE:36PO:0OV:67
Mark LetestuAGE:31PO:0OV:67
Casey CizikasAGE:25PO:0OV:67
*Alexander KhokhlachevAGE:23PO:0OV:58
Jayson MegnaAGE:26PO:0OV:57
Tanner KeroAGE:24PO:0OV:56
Nick PaulAGE:21PO:0OV:55
Carter RowneyAGE:27PO:0OV:55
Colin SmithAGE:23PO:0OV:54
*Tyler MotteAGE:21PO:0OV:54
*Artemi PanarinAGE:24PO:0OV:72
Kevin HayesAGE:24PO:0OV:67
Jimmy HayesAGE:26PO:0OV:67
Mark LetestuAGE:31PO:0OV:67
Pascal DupuisAGE:37PO:0OV:67
Craig SmithAGE:27PO:0OV:67
*Nikita SoshnikovAGE:23PO:0OV:60
Justin FontaineAGE:28PO:0OV:59
Richard PanikAGE:24PO:0OV:59
Jayson MegnaAGE:26PO:0OV:57
Quinton HowdenAGE:24PO:0OV:56
Carter RowneyAGE:27PO:0OV:55
Colin SmithAGE:23PO:0OV:54
*Adam ErneAGE:21PO:0OV:53

Défense #1Défense #2Gardien
Travis HamonicAGE:26PO:0OV:72
Andrej SekeraAGE:30PO:0OV:71
*Shayne GostisbehereAGE:23PO:0OV:70
Kevin BieksaAGE:35PO:0OV:70
Braydon CoburnAGE:31PO:0OV:69
David SchlemkoAGE:29PO:0OV:66
Jamie OleksiakAGE:23PO:0OV:65
Jordan OesterleAGE:24PO:0OV:64
Robert BortuzzoAGE:27PO:0OV:64
Viktor SvedbergAGE:25PO:0OV:63
Alex GrantAGE:27PO:0OV:60
Mike ReillyAGE:23PO:0OV:58
*Nick EbertAGE:22PO:0OV:52
*Daniel WalcottAGE:22PO:0OV:49
Ryan MillerAGE:36PO:0OV:78
Michal NeuvirthAGE:28PO:0OV:77
Jeremy SmithAGE:27PO:0OV:70
*Zachary FucaleAGE:21PO:0OV:64
Troy GrosenickAGE:27PO:0OV:62

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
Alex NedeljkovicPenguins
Alexander DelnovPenguins
Alexander PechurskiPenguins
Alexander UrbomPenguins
Alexandre FortinPenguins2016177
Andrei LoktionovPenguins
Artur LautaPenguins2016252
C.J. MottePenguins2015189
Caleb JonesPenguins201582
Christian JarosPenguins2015142
Connor HallPenguins201688
Damien RiatPenguins2016118
Daniel AudettePenguins201492
Devon ToewsPenguins2015153
Dillon DubePenguins201646
Drake CaggiulaPenguins201658
Eric HartzellPenguins
Ethan ProwPenguins2016108
Fredrik ForsbergPenguins2015188
German RubtsovPenguins201620
Igor ShvyryovPenguins2016220
Kole SherwoodPenguins2015168
Kyle CumiskeyPenguins
Loik LeveillePenguins2015144
Lucas CarlssonPenguins201689
Lukas BengtssonPenguins2014163
Luke GreenPenguins201675
Nathan BastianPenguins201668
Nicholas BokaPenguins2015172
Nick BetzPenguins2014212
Nick EllisPenguins201697
Nick PastujovPenguins2016121
Nicolas Aube-KubelPenguins201442
Nikita ZaitsevPenguins2015178
Otso RantakariPenguins2014193
Raphael BussieresPenguins
Rodrigo AbolsPenguins2015187
Roman LyubimovPenguins2016143
Ryan WaltersPenguins
Simon StranskyPenguins2016136
Tyler CumaPenguins
Vincent DunnPenguins2015146
William KnierimPenguins2016251

Choix au Repêchage

Année R1R2R3R4R5R6R7
2017PIT DAL PIT PIT BUF STL PIT
2018PIT PIT PIT PIT PIT PIT PIT
2019PIT PIT PIT PIT PIT PIT PIT
2020PIT PIT PIT PIT PIT PIT PIT
2021PIT PIT PIT PIT PIT PIT PIT



[08.09.2016 6:48:55] - TRADE : From Avalanche to Penguins : Y:2016-RND:2-BOS, Y:2016-RND:5-BOS.
[08.09.2016 6:48:55] - TRADE : From Penguins to Avalanche : Y:2016-RND:2-PIT.
[08.09.2016 7:46:51] - Penguins drafts Dillon Dube as the #46 overall pick in the Entry Draft of year 2016.
[12.09.2016 4:48:15] - TRADE : From Penguins to Predators : Y:2016-RND:2-SJS.
[12.09.2016 4:48:15] - TRADE : From Predators to Penguins : Y:2016-RND:2-NSH, Y:2016-RND:4-WSH.
[12.09.2016 4:51:31] - Penguins drafts Drake Caggiula as the #58 overall pick in the Entry Draft of year 2016.
[14.09.2016 7:10:00] - David Schlemko was added to Penguins.
[14.09.2016 7:10:00] - David Schlemko signed with Penguins for 1 400 000 Kč for 2 year(s) with 0 Kč in bonus.
[14.09.2016 7:23:31] - Penguins drafts Nathan Bastian as the #68 overall pick in the Entry Draft of year 2016.
[14.09.2016 7:24:47] - Penguins drafts Luke Green as the #75 overall pick in the Entry Draft of year 2016.
[14.09.2016 7:26:55] - TRADE : From Penguins to Lightning : Y:2016-RND:3-LAK.
[14.09.2016 7:26:55] - TRADE : From Lightning to Penguins : Y:2016-RND:4-TBL, Y:2016-RND:5-MIN.
[19.09.2016 5:23:49] - Vernon Fiddler was added to Penguins.
[19.09.2016 5:23:49] - Vernon Fiddler signed with Penguins for 1 800 000 Kč for 2 year(s) with 0 Kč in bonus.
[19.09.2016 5:42:13] - TRADE : From Predators to Penguins : Connor Hall (P), Y:2016-RND:3-NSH.
[19.09.2016 5:42:13] - TRADE : From Penguins to Predators : Y:2017-RND:3-NJD, Y:2017-RND:3-PIT, Y:2016-RND:7-PIT.
[19.09.2016 5:47:10] - Penguins drafts Lucas Carlsson as the #89 overall pick in the Entry Draft of year 2016.
[19.09.2016 5:48:33] - Penguins drafts Nick Ellis as the #97 overall pick in the Entry Draft of year 2016.
[22.09.2016 7:42:28] - Penguins drafts Ethan Prow as the #108 overall pick in the Entry Draft of year 2016.
[24.09.2016 5:30:58] - Penguins drafts Damien Riat as the #118 overall pick in the Entry Draft of year 2016.
[24.09.2016 5:31:24] - Penguins drafts Nick Pastujov as the #121 overall pick in the Entry Draft of year 2016.
[24.09.2016 5:45:30] - Penguins hired Clark Donatelli for 100 000 Kč for 5 year(s).
[26.09.2016 6:05:06] - Penguins drafts Simon Stransky as the #136 overall pick in the Entry Draft of year 2016.
[02.10.2016 7:15:41] - Penguins drafts Roman Lyubimov as the #143 overall pick in the Entry Draft of year 2016.
[02.10.2016 7:21:26] - Penguins drafts MISSED PICK as the #163 overall pick in the Entry Draft of year 2016.
[03.10.2016 5:27:06] - Justin Fontaine was added to Penguins.
[03.10.2016 5:27:07] - TRADE : From Hurricanes to Penguins : Justin Fontaine (59).
[06.10.2016 6:20:07] - TRADE : From Penguins to Blackhawks : Y:2017-RND:6-PIT.
[06.10.2016 6:20:07] - TRADE : From Blackhawks to Penguins : Y:2016-RND:6-CHI.
[06.10.2016 7:00:33] - Penguins drafts Alexandre Fortin as the #177 overall pick in the Entry Draft of year 2016.
[12.10.2016 6:19:57] - TRADE : From Penguins to Lightning : Liam O'Brien (56), Zach Sill (57).
[12.10.2016 6:37:19] - MISSED PICK has been deleted from Penguins.
[12.10.2016 6:37:22] - Igor Shvyryov has been added to Penguins.
[15.10.2016 22:21:33] - Pascal Dupuis was added to Penguins.
[15.10.2016 22:21:34] - TRADE : From Penguins to Blackhawks : Austin Carroll (51), Y:2017-RND:2-PIT.
[15.10.2016 22:21:34] - TRADE : From Blackhawks to Penguins : Pascal Dupuis (67), Nikita Zaitsev (P), 2 000 000 Kč (Money).
[15.10.2016 22:32:32] - Carter Rowney was added to Penguins.
[15.10.2016 22:32:32] - Carter Rowney signed with Penguins for 800 000 Kč for 2 year(s) with 0 Kč in bonus.
[20.10.2016 5:28:29] - William Knierim has been added to Penguins.
[20.10.2016 5:28:37] - Artur Lauta has been added to Penguins.
[21.10.2016 4:40:40] - TRADE : From Penguins to Avalanche : Conor Allen (54).



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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