Penguins

DG: Ladislav Mozolic Morale : 53 Moyenne d'Équipe : 70
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Alexander Steen (A)XX100.00593490798392928271544973779599054730
2Patrick Marleau (C)XXX100.00643095798588998576465363619999054720
3Artemi PanarinXX100.00583495868291989045565661826464054710
4Troy BrouwerX100.00774492728286948360444771628994054700
5Ryan Nugent-HopkinsX100.00603495768188948481484971637984054700
6Mitchell Marner (R)X100.00593093818385959155564961765858054690
7Kevin HayesXXX100.00603396778583958578514868746969054690
8Mark LetestuXX100.00633497727882957883454774728181054690
9Casey CizikasXX100.00763293717877847982464375587777054680
10Richard PanikXX100.00733792738179898050455060707272054670
11Josh Anderson (R)XX100.00764886688075837648444762585959054640
12Tanner Kero (R)XX100.00623097657277657367434271565757054610
13Andrej SekeraX100.00693096808389978634494379598787054740
14Ron Hainsey (A)X100.00753695748089928034444181589797054730
15Nikita Zaitsev (R)X100.00813093828490998630504076595858054720
16Shayne Gostisbehere (R)X100.00683093828186888737524573686363054710
17Travis HamonicX100.00754985758088767934454179588085054700
18David SchlemkoX100.00693096737784817834474076587777054690
Rayé
MOYENNE D'ÉQUIPE100.0068359376818590825648467165767705470
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 Miller99.0077969686797576767677839090054810
2Philipp Grubauer (R)100.0077967481797475757577757171054760
Rayé
1Michal Neuvirth100.0064967584686465646568798181046710
MOYENNE D'ÉQUIPE99.677396828475717272727479818105176
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo81859086767782CAN4441,000,000$


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
1Artemi PanarinPenguinsPenguinsLW/RW432522051012530.00%020.:.1600000011033.33%3210001.2300
2Mitchell MarnerPenguinsPenguinsRW4033120718380.00%017.:.1500000000020.00%561000.8700
3Andrej SekeraPenguinsPenguinsD4123200573414.29%1025.:.350000004000.00%007000.5900
4Patrick MarleauPenguinsPenguinsC/LW/RW41234203861012.50%119.:.3000000001051.43%70122000.7700
5Alexander SteenPenguinsPenguinsC/LW4213300663433.33%119.:.01000000101100.00%162000.7900
6Nikita ZaitsevPenguinsPenguinsD4022200174320.00%322.:.590000004000.00%004000.4400
7Kevin HayesPenguinsPenguinsC/LW/RW4202000494922.22%116.:.5300000011066.67%353000.5900
8Shayne GostisbeherePenguinsPenguinsD4011-120812470.00%718.:.040000000000.00%046000.2800
9Josh AndersonPenguinsPenguinsLW/RW401110036450.00%008.:.280000000000.00%130000.5900
10Ryan Nugent-HopkinsPenguinsPenguinsC401112036380.00%216.:.1800000000064.44%4561000.3100
11Travis HamonicPenguinsPenguinsD400022047510.00%616.:.040000006000.00%004000.0000
12Ron HainseyPenguinsPenguinsD400000017350.00%1121.:.240000007000.00%002000.0000
13Tanner KeroPenguinsPenguinsC/LW400000015130.00%209.:.040000001000.00%201000.0000
14Troy BrouwerPenguinsPenguinsRW400000056410.00%212.:.140000000000.00%152000.0000
15David SchlemkoPenguinsPenguinsD400020036320.00%416.:.090000001000.00%004000.0000
16Mark LetestuPenguinsPenguinsC/RW400000013230.00%114.:.3600000090050.00%4052000.0000
17Casey CizikasPenguinsPenguinsC/LW400010076190.00%110.:.5000000090041.67%2470000.0000
18Richard PanikPenguinsPenguinsLW/RW4000000612470.00%312.:.1400000000050.00%260000.0000
Stats d'équipe Total ou en Moyenne7291524201208974138571136.52%55118816.500007680001473151.27%1978641000.4000000221
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 MillerPenguinsPenguins431095.9%1.2623901512272000.0%040111
Stats d'équipe Total ou en Moyenne43100.9591.2623901512272000.000040111


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat 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
Alexander SteenPenguinsC/LW3301.03.1984No211 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm5,800,000$5,800,000$5,800,000$
Andrej SekeraPenguinsD3108.06.1986No198 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$
Artemi PanarinPenguinsLW/RW2530.10.1991 1:22:13No170 Lbs5 ft11YesNoNo3Avec RestrictionPro & Farm6,300,000$6,300,000$6,300,000$6,300,000$
Casey Cizikas (Contrat à 1 Volet)PenguinsC/LW2627.02.1991 6:56:46No201 Lbs5 ft11NoNoNo2Avec RestrictionPro Only1,600,000$1,600,000$1,600,000$
David SchlemkoPenguinsD3007.05.1987No190 Lbs6 ft0NoNoNo1Sans RestrictionPro Only1,400,000$1,400,000$
Josh AndersonPenguinsLW/RW2307.05.1994 2:21:53Yes221 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm700,000$700,000$
Kevin HayesPenguinsC/LW/RW2508.05.1992 1:40:10No215 Lbs6 ft5NoNoNo1Avec RestrictionPro Only3,000,000$3,000,000$
Mark LetestuPenguinsC/RW3204.02.1985No197 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm2,400,000$2,400,000$2,400,000$
Michal NeuvirthPenguinsG2923.03.1988No209 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,000,000$3,000,000$
Mitchell MarnerPenguinsRW2005.05.1997 16:13:47Yes170 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm1,700,000$1,700,000$1,700,000$1,700,000$
Nikita ZaitsevPenguinsD2529.10.1991 14:50:05Yes195 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm2,800,000$2,800,000$
Patrick MarleauPenguinsC/LW/RW3815.09.1979No215 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm5,600,000$5,600,000$5,600,000$
Philipp Grubauer (Contrat à 1 Volet)PenguinsG2525.11.1991 6:32:38Yes184 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm1,500,000$1,500,000$
Richard PanikPenguinsLW/RW2507.02.1992 13:51:01No208 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,200,000$2,200,000$2,200,000$
Ron HainseyPenguinsD3624.03.1981No210 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$
Ryan MillerPenguinsG3717.07.1980No168 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm5,300,000$5,300,000$
Ryan Nugent-HopkinsPenguinsC2412.04.1993 14:44:38No196 Lbs6 ft0YesNoNo1Avec RestrictionPro & Farm4,800,000$4,800,000$
Shayne GostisbeherePenguinsD2420.04.1993 23:48:02Yes180 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm2,000,000$2,000,000$
Tanner KeroPenguinsC/LW2524.07.1992 1:37:37Yes185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,100,000$1,100,000$
Travis HamonicPenguinsD2716.08.1990No205 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$3,500,000$
Troy BrouwerPenguinsRW3217.08.1985No215 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm2,700,000$2,700,000$2,700,000$2,700,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2128.19197 Lbs6 ft11.813,042,857$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
63,900,000$38,300,000$18,200,000$4,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Artemi PanarinPatrick MarleauMitchell Marner44023
2Alexander SteenRyan Nugent-HopkinsKevin Hayes33023
3Richard PanikMark LetestuTroy Brouwer17122
4Tanner KeroCasey CizikasJosh Anderson6131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraNikita Zaitsev40122
2Shayne GostisbehereRon Hainsey30122
3David SchlemkoTravis Hamonic20131
4Andrej SekeraRon Hainsey10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Artemi PanarinPatrick MarleauMitchell Marner60005
2Alexander SteenRyan Nugent-HopkinsKevin Hayes40013
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraNikita Zaitsev60014
2Shayne GostisbehereDavid Schlemko40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mark LetestuCasey Cizikas66140
2Alexander SteenTanner Kero34140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis HamonicRon Hainsey60230
2Andrej SekeraNikita Zaitsev40230
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mark Letestu60140Travis HamonicRon Hainsey60140
2Casey Cizikas40140Andrej SekeraNikita Zaitsev40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Patrick MarleauArtemi Panarin60113
2Ryan Nugent-HopkinsAlexander Steen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SekeraNikita Zaitsev60122
2Shayne GostisbehereRon Hainsey40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alexander SteenPatrick MarleauArtemi PanarinAndrej SekeraNikita Zaitsev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alexander SteenMark LetestuTroy BrouwerAndrej SekeraRon Hainsey
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mitchell Marner, Mark Letestu, Casey CizikasRichard Panik, Ryan Nugent-HopkinsCasey Cizikas
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Travis Hamonic, David Schlemko, Nikita ZaitsevTravis HamonicDavid Schlemko, Nikita Zaitsev
Tirs de Pénalité
Alexander Steen, Kevin Hayes, Artemi Panarin, Mitchell Marner, Richard Panik
Gardien
#1 : Ryan Miller, #2 : Philipp Grubauer


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
1PenguinsHurricanes1100000020221.000235011100368171103112228300.00%10100.00%0387352.05%457857.69%184639.13%2416197158100.0%5.6%100.0%105.6DULL
2PenguinsMaple Leafs1100000042221.00047110020203113990328616300.00%30100.00%0387352.05%457857.69%184639.13%231621714766.7%12.9%93.8%106.7LUCKY
3PenguinsPredators1100000021121.000235001010311171303019218200.00%10100.00%0387352.05%457857.69%184639.13%221420717966.7%6.5%96.7%103.1DULL
4PenguinsSenators1010000012-100.0001230010004012141402916227000.00%10100.00%0387352.05%457857.69%184639.13%251719715733.3%2.5%93.1%95.6DULL
Since Last GM Reset4310000095460.750915240151301384447470122551289800.00%60100.00%0387352.05%457857.69%184639.13%96638129623264.3%6.5%95.9%102.4DULL
Total4310000095460.750915240151301384447470122551289800.00%60100.00%0387352.05%457857.69%184639.13%96638129623264.3%6.5%95.9%102.4DULL
Vs Conference4310000095460.750915240151301384447470122551289800.00%60100.00%0387352.05%457857.69%184639.13%96638129623264.3%6.5%95.9%102.4DULL
Vs Division4310000095460.750915240151301384447470122551289800.00%60100.00%0387352.05%457857.69%184639.13%96638129623264.3%6.5%95.9%102.4DULL

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
46W19152413812255128901
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
431000095
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000063
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000032
Derniers 10 Matchs
WLOTWOTL SOWSOL
310000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
800.00%60100.00%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
44474705130
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
387352.05%457857.69%184639.13%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
966381296232


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
DateMatchup Result Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Sun, Apr 20Penguins@PenguinsPredators1,Penguins2RECAP
Mon, Apr 21Penguins@PenguinsPenguins2,Hurricanes0RECAP
Wed, Apr 23Penguins@PenguinsPenguins1,Senators2RECAP
Fri, Apr 25Penguins@PenguinsMaple Leafs2,Penguins4RECAP



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna68743618452418031268
Prix des Billets95503320190
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
63,900,000$ 6,600,000$ 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$ 24,030,053$ 24,030,053$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Alexander SteenAGE:33PO:0OV:73
Patrick MarleauAGE:38PO:0OV:72
Artemi PanarinAGE:25PO:0OV:71
Kevin HayesAGE:25PO:0OV:69
Casey CizikasAGE:26PO:0OV:68
Richard PanikAGE:25PO:0OV:67
*Josh AndersonAGE:23PO:0OV:64
*Drake CaggiulaAGE:23PO:0OV:63
*Tanner KeroAGE:25PO:0OV:61
Peter MuellerAGE:29PO:0OV:60
*Roman LyubimovAGE:25PO:0OV:59
*Tyler MotteAGE:22PO:0OV:59
Andrew AgozzinoAGE:25PO:0OV:58
*Adam ErneAGE:22PO:0OV:57
Marek HrivikAGE:26PO:0OV:55
*Quinton HowdenAGE:25PO:0OV:55
Cory ConacherAGE:27PO:0OV:54
Alexander SteenAGE:33PO:0OV:73
Patrick MarleauAGE:38PO:0OV:72
Ryan Nugent-HopkinsAGE:24PO:0OV:70
Kevin HayesAGE:25PO:0OV:69
Mark LetestuAGE:32PO:0OV:69
Casey CizikasAGE:26PO:0OV:68
*Tanner KeroAGE:25PO:0OV:61
*Jayson MegnaAGE:27PO:0OV:60
Peter MuellerAGE:29PO:0OV:60
Colin SmithAGE:24PO:0OV:58
Carter RowneyAGE:28PO:0OV:58
Andrew AgozzinoAGE:25PO:0OV:58
*Nick PaulAGE:22PO:0OV:56
Marek HrivikAGE:26PO:0OV:55
Patrick MarleauAGE:38PO:0OV:72
Artemi PanarinAGE:25PO:0OV:71
Troy BrouwerAGE:32PO:0OV:70
*Mitchell MarnerAGE:20PO:0OV:69
Kevin HayesAGE:25PO:0OV:69
Mark LetestuAGE:32PO:0OV:69
Richard PanikAGE:25PO:0OV:67
*Josh AndersonAGE:23PO:0OV:64
Peter MuellerAGE:29PO:0OV:60
Justin FontaineAGE:29PO:0OV:60
Colin SmithAGE:24PO:0OV:58
Carter RowneyAGE:28PO:0OV:58
*Nicolas Aube-KubelAGE:21PO:0OV:53

Défense #1Défense #2Gardien
Andrej SekeraAGE:31PO:0OV:74
Ron HainseyAGE:36PO:0OV:73
*Nikita ZaitsevAGE:25PO:0OV:72
*Shayne GostisbehereAGE:24PO:0OV:71
Travis HamonicAGE:27PO:0OV:70
David SchlemkoAGE:30PO:0OV:69
Robert BortuzzoAGE:28PO:0OV:65
Matt BartkowskiAGE:29PO:0OV:64
Brad HuntAGE:29PO:0OV:60
*Mike ReillyAGE:24PO:0OV:58
*Devon ToewsAGE:23PO:0OV:58
Viktor SvedbergAGE:26PO:0OV:56
*Jordan OesterleAGE:25PO:0OV:55
Nick EbertAGE:23PO:0OV:55
*Ethan ProwAGE:24PO:0OV:53
*Daniel WalcottAGE:23PO:0OV:50
Ryan MillerAGE:37PO:0OV:81
*Philipp GrubauerAGE:25PO:0OV:76
Michal NeuvirthAGE:29PO:0OV:71
*Alex NedeljkovicAGE:21PO:0OV:60
*Nick EllisAGE:23PO:0OV:59

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
Adam RuzickaPenguins2017116
Alexander DelnovPenguins
Alexander KhokhlachevPenguins
Alexander PechurskiPenguins
Alexander UrbomPenguins
Alexandre FortinPenguins2016177
Andrei LoktionovPenguins
Artur LautaPenguins2016252
C.J. MottePenguins2015189
Calvin ThurkaufPenguins201792
Christian JarosPenguins2015142
Damien RiatPenguins2016118
Dmitri SamorukovPenguins201762
Eric HartzellPenguins
Fredrik ForsbergPenguins2015188
Giovanni FiorePenguins2017141
Igor ShvyryovPenguins2016220
Ivan LodniaPenguins201781
Jaycob MegnaPenguins2017195
Kole SherwoodPenguins2015168
Kyle CumiskeyPenguins
Loik LeveillePenguins2015144
Lukas BengtssonPenguins2014163
Luke GreenPenguins201675
Michael PastujovPenguins2017139
Nathan BastianPenguins201668
Nicholas BokaPenguins2015172
Nick BetzPenguins2014212
Nick PastujovPenguins2016121
Nick SuzukiPenguins201713
Otso RantakariPenguins2014193
Raphael BussieresPenguins
Rodrigo AbolsPenguins2015187
Ryan WaltersPenguins
Sasha ChmelevskiPenguins201775
Simon StranskyPenguins2016136
Tyler CumaPenguins
Viktor AntipinPenguins201749
Vincent DunnPenguins2015146
William KnierimPenguins2016251
Zach Aston-ReesePenguins201743
Zachary FucalePenguins
missed pickPenguins2017199

Choix au Repêchage

Année R1R2R3R4R5R6R7
2018PIT NJD PIT PIT PIT
2019PIT PIT PIT PIT PIT PIT
2020PIT PIT PIT PIT PIT PIT PIT
2021PIT PIT PIT PIT PIT PIT PIT
2022PIT PIT PIT PIT PIT PIT PIT



[10.10.2017 20:54:05] - Ron Hainsey has been selected as assistant for Penguins.
[10.10.2017 20:54:05] - Unknown Player is no longer as assistant for Penguins.
[10.10.2017 20:54:05] - Alexander Steen has been selected as assistant for Penguins.
[10.10.2017 20:54:05] - Unknown Player is no longer as assistant for Penguins.
[08.10.2017 10:27:21] - TRADE : From Penguins to Bruins : Y:2017-RND:7-STL.
[05.10.2017 6:00:25] - Penguins drafts missed pick as the #199 overall pick in the Entry Draft of year 2017.
[05.10.2017 5:59:59] - Penguins drafts Jaycob Megna as the #195 overall pick in the Entry Draft of year 2017.
[01.10.2017 10:53:21] - Peter Mueller signed with Penguins for 700 000 Kč for 1 year(s) with 0 Kč in bonus.
[01.10.2017 10:53:21] - Peter Mueller was added to Penguins.
[30.09.2017 11:47:14] - Penguins drafts Giovanni Fiore as the #141 overall pick in the Entry Draft of year 2017.
[30.09.2017 11:47:06] - Penguins drafts Michael Pastujov as the #139 overall pick in the Entry Draft of year 2017.
[23.09.2017 8:14:08] - Matt Bartkowski signed with Penguins for 900 000 Kč for 2 year(s) with 0 Kč in bonus.
[23.09.2017 8:14:08] - Matt Bartkowski was added to Penguins.
[23.09.2017 8:09:43] - Brad Hunt signed with Penguins for 900 000 Kč for 2 year(s) with 0 Kč in bonus.
[23.09.2017 8:09:43] - Brad Hunt was added to Penguins.
[23.09.2017 8:09:30] - Andrew Agozzino signed with Penguins for 900 000 Kč for 2 year(s) with 0 Kč in bonus.
[23.09.2017 8:09:30] - Andrew Agozzino was added to Penguins.
[22.09.2017 5:13:39] - Penguins drafts Adam Ruzicka as the #116 overall pick in the Entry Draft of year 2017.
[22.09.2017 5:07:29] - Penguins drafts Calvin Thurkauf as the #92 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:49:39] - Penguins drafts Ivan Lodnia as the #81 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:48:46] - Penguins drafts Sasha Chmelevski as the #75 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:46:16] - Penguins drafts Dmitri Samorukov as the #62 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:29:13] - Penguins drafts Viktor Antipin as the #49 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:25:34] - Penguins drafts Zach Aston-Reese as the #43 overall pick in the Entry Draft of year 2017.



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
20174310000095422000000633211000003216915240151301384447470122551289800.00%60100.00%0387352.05%457857.69%184639.13%966381296232
Total Saison Régulière4310000095422000000633211000003216915240151301384447470122551289800.00%60100.00%0387352.05%457857.69%184639.13%966381296232