Penguins

GP: 16 | W: 11 | L: 5 | OTL: 0 | P: 22
GF: 28 | GA: 17 | PP%: 13.24% | PK%: 86.27%
DG: Michael Murphy | Morale : 99 | Moyenne d'Équipe : 81
Prochain matchs vs Maple Leafs
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
1Thomas VanekX100.00111996279979999799999999978996890850
2Justin WilliamsX100.00146996576989999679999999987996190850
3Mikko KoivuX100.005744807782939597999091869096992189840
4Michael MurphyX100.007021815880717299529999999989893589830
5Frans NielsenX100.00523899767385869395848688849495884800
6Josh BaileyX100.005135857875769273868284956792837589780
7Alex KillornX100.006246787772878593638285817974754189780
8Steve BernierX100.006648825384919779487382928574983189760
9J.T MillerX100.006443837877818993657577827376756189760
10Charlie CoyleX100.008543877877878797856872817381736189760
11Cedric Paquette (R)X100.009986727774787678856772847075714690740
12Maxime TalbotX100.00975868637488917580536594689894189730
13Erik KarlssonX100.006735878983999899679996999178776788860
14Duncan KeithX100.005949776775999999479998959799996389840
15Kevin ShattenkirkX100.007142778076919093539088978577875189830
16Ryan McDonaghX100.007343926279969599538478997774755689810
17Fedor TyutinX100.006238945980949592447271837196971788770
18Nicklas GrossmanX100.00996263637884858550666387649081189770
Rayé
MOYENNE D'ÉQUIPE100.00644184707789919168828491828587428980
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
1Braden Holtby100.00909899929499999999989999998189940
2Steve Mason100.00718582847999999999859696977489870
Rayé
MOYENNE D'ÉQUIPE100.0081929188879999999992989898788991
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan51566253827156USA482700,000$


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
1Michael MurphyPenguinsLW1698173160432457183115.79%531419.673146520000183056.25%1643011.0800000121
2Kevin ShattenkirkPenguinsD1631215112042273316189.09%2334821.79134644000029010.00%0128000.8600000111
3Mikko KoivuPenguinsC169514680553962162714.52%632620.3830311630001191148.13%401131110.8600000221
4J.T MillerPenguinsC165712240353948192410.42%1029418.39112452000021135.94%34593000.8200000001
5Justin WilliamsPenguinsRW16381170011334917406.12%735922.460336630002490041.96%11244000.6100000111
6Erik KarlssonPenguinsD16281074034266213173.23%1839624.770111171000146000.00%01213000.5000000100
7Josh BaileyPenguinsRW1636936017232382113.04%929218.27134552000001023.53%1765000.6200000012
8Thomas VanekPenguinsLW1635870012284614316.52%1135922.490115630000492053.33%3034000.4400000002
9Ryan McDonaghPenguinsD1605500028222013110.00%2235422.15022544000034000.00%0210000.2800000000
10Charlie CoylePenguinsRW16235100312020141510.00%321013.17000000001131051.43%7044000.4700000001
11Frans NielsenPenguinsC160554001102111210.00%31398.7000000000000051.79%5622000.7200000000
12Alex KillornPenguinsLW16134011521204214172.38%120712.9600000000090014.29%7126000.3900001000
13Duncan KeithPenguinsD1613471803129241274.17%2638824.31022871000040000.00%0710000.2100000000
14Steve BernierPenguinsRW16202-1201516145614.29%11599.9900010000000120.00%503000.2500000100
15Fedor TyutinPenguinsD1602245592414540.00%1325215.8000000000015000.00%0110000.1600010000
16Cedric PaquettePenguinsLW16202260163184811.11%21036.5000000000001066.67%320000.3800000001
17Maxime TalbotPenguinsC1610122018970314.29%31026.4000000000001039.29%2801000.2000000000
18Nicklas GrossmanPenguinsD16011516033249480.00%923814.920000000000000.00%029000.0800000000
Stats d'équipe Total ou en Moyenne288468112760110104524165692033098.08%172484916.849172668581000533211443.39%10909596120.52000117711
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
1Braden HoltbyPenguins1611320.9411.949882232541218100.0000160431
Stats d'équipe Total ou en Moyenne1611320.9411.949882232541218100.0000160431


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 CONT 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
Alex KillornPenguinsLW271990-08-03 11:11:13No209 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,000,000$
Braden HoltbyPenguinsRW281989-08-03 05:11:14No211 Lbs6 ft2NoNoNo7Avec RestrictionPro & Farm6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$
Cedric PaquettePenguinsLW231994-08-03 11:11:13Yes199 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm633,333$
Charlie CoylePenguinsRW241993-08-03 05:11:13No212 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm2,750,000$2,750,000$
Duncan KeithPenguinsD331984-08-02 23:11:13No204 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm4,300,000$4,300,000$
Erik KarlssonPenguinsD261991-08-03 17:11:13No188 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm6,000,000$6,000,000$
Fedor TyutinPenguinsD331984-08-02 23:11:13No225 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm3,000,000$3,000,000$3,000,000$
Frans NielsenPenguinsC321985-08-03 05:11:13No183 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm950,000$
J.T MillerPenguinsC231994-08-03 11:11:13No211 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm1,850,000$1,850,000$
Josh BaileyPenguinsRW271990-08-03 11:11:13No199 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,750,000$2,750,000$
Justin WilliamsPenguinsRW351982-08-03 11:11:13No209 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm6,000,000$6,000,000$6,000,000$
Kevin ShattenkirkPenguinsD291988-08-02 23:11:13No213 Lbs5 ft11NoNoNo6Avec RestrictionPro & Farm5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$
Maxime TalbotPenguinsC321985-08-03 05:11:13No198 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm950,000$
Michael MurphyPenguinsLW281989-08-03 05:11:13No224 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,500,995$
Mikko KoivuPenguinsC331984-08-02 23:11:13No208 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,900,000$3,900,000$
Nicklas GrossmanPenguinsD321985-08-03 05:11:13No213 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm1,200,000$
Ryan McDonaghPenguinsD281989-08-03 05:11:13No223 Lbs6 ft1NoNoNo7Avec RestrictionPro & Farm4,500,000$4,500,000$4,500,000$4,500,000$4,500,000$4,500,000$4,500,000$
Steve BernierPenguinsRW311986-08-03 11:11:13No247 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm3,000,000$3,000,000$
Steve MasonPenguinsD281989-08-03 05:11:14No229 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm4,500,000$
Thomas VanekPenguinsLW321985-08-03 05:11:13No219 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm4,600,000$4,600,000$4,600,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2029.20211 Lbs6 ft12.503,244,216$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
64,884,328$54,150,000$29,600,000$16,000,000$16,000,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Thomas VanekMikko KoivuJustin Williams35122
2Michael MurphyJ.T MillerJosh Bailey35122
3Alex KillornFrans NielsenCharlie Coyle25122
4Cedric PaquetteMaxime TalbotSteve Bernier5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik KarlssonDuncan Keith35122
2Kevin ShattenkirkRyan McDonagh35122
3Nicklas GrossmanFedor Tyutin30122
4Erik KarlssonDuncan Keith0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Thomas VanekMikko KoivuJustin Williams60122
2Michael MurphyJ.T MillerJosh Bailey40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik KarlssonDuncan Keith60122
2Kevin ShattenkirkRyan McDonagh40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Justin WilliamsThomas Vanek60122
2Mikko KoivuMichael Murphy40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik KarlssonDuncan Keith60122
2Kevin ShattenkirkRyan McDonagh40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Justin Williams60122Erik KarlssonDuncan Keith60122
2Thomas Vanek40122Kevin ShattenkirkRyan McDonagh40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Justin WilliamsThomas Vanek60122
2Mikko KoivuMichael Murphy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik KarlssonDuncan Keith60122
2Kevin ShattenkirkRyan McDonagh40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Thomas VanekMikko KoivuJustin WilliamsErik KarlssonDuncan Keith
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Thomas VanekMikko KoivuJustin WilliamsErik KarlssonDuncan Keith
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Killorn, Steve Bernier, Charlie CoyleAlex Killorn, Steve BernierCharlie Coyle
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nicklas Grossman, Fedor Tyutin, Kevin ShattenkirkNicklas GrossmanFedor Tyutin, Kevin Shattenkirk
Tirs de Pénalité
Justin Williams, Thomas Vanek, Mikko Koivu, Michael Murphy, Alex Killorn
Gardien
#1 : Braden Holtby, #2 : Steve Mason


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
1Capitals440000001468220000008442200000062481.0001425390056211415054334135444212528310.71%21385.71%018341743.88%19844244.80%9223139.83%925287396937
2Maple Leafs5410000015873300000010462110000054180.8001527420133811856453653178553113014428.57%13192.31%018341743.88%19844244.80%9223139.83%10865111458744
3Senateurs734000001718-14220000010913120000079-260.429172946016650243857577622873391982627.69%17382.35%018341743.88%19844244.80%9223139.83%157921516312261
Total1611500000463214972000002817117430000018153220.68846811270214151525691991821751354117211245368913.24%51786.27%018341743.88%19844244.80%9223139.83%358210350147280143
_Since Last GM Reset1611500000463214972000002817117430000018153220.68846811270214151525691991821751354117211245368913.24%51786.27%018341743.88%19844244.80%9223139.83%358210350147280143
_Vs Conference1611500000463214972000002817117430000018153220.68846811270214151525691991821751354117211245368913.24%51786.27%018341743.88%19844244.80%9223139.83%358210350147280143
_Vs Division440000001468220000008442200000062481.0001425390056211415054334135444212528310.71%21385.71%018341743.88%19844244.80%9223139.83%925287396937

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1622L2468112756954117211245302
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
1611500004632
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
97200002817
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
74300001815
Derniers 10 Matchs
WLOTWOTL SOWSOL
630100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
68913.24%51786.27%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
199182175131415152
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
18341743.88%19844244.80%9223139.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
358210350147280143


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
1 - 2017-09-303Maple Leafs2Penguins3WXSommaire du Match
3 - 2017-10-0211Maple Leafs2Penguins4WSommaire du Match
5 - 2017-10-0419Penguins3Maple Leafs1WSommaire du Match
7 - 2017-10-0627Penguins2Maple Leafs3LXSommaire du Match
9 - 2017-10-0835Maple Leafs0Penguins3WSommaire du Match
15 - 2017-10-1458Capitals2Penguins5WSommaire du Match
17 - 2017-10-1662Capitals2Penguins3WSommaire du Match
19 - 2017-10-1866Penguins4Capitals1WSommaire du Match
21 - 2017-10-2070Penguins2Capitals1WXSommaire du Match
29 - 2017-10-2885Senateurs3Penguins5WSommaire du Match
31 - 2017-10-3087Senateurs4Penguins2LSommaire du Match
33 - 2017-11-0189Penguins2Senateurs3LXSommaire du Match
35 - 2017-11-0391Penguins4Senateurs1WSommaire du Match
37 - 2017-11-0593Senateurs0Penguins2WSommaire du Match
39 - 2017-11-0795Penguins1Senateurs5LSommaire du Match
41 - 2017-11-0997Senateurs2Penguins1LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna64005400440024001400
Prix des Billets96837159120
Assistance5585947027294892160012600
Attendance PCT96.98%96.76%74.47%100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
32 18508 - 92.54% 2,341,920$21,077,277$20000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
64,884,328$ 0$ 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$ 70,263,552$ 70,263,552$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Thomas VanekAGE:32PO:68OV:85
Michael MurphyAGE:28PO:35OV:83
Alex KillornAGE:27PO:41OV:78
*Cedric PaquetteAGE:23PO:46OV:74
*Max ReinhartAGE:24PO:58OV:71
*Bryan RustAGE:24PO:63OV:65
Zach BoychukAGE:27PO:53OV:63
*Emile PoirierAGE:22PO:65OV:58
Mikko KoivuAGE:33PO:21OV:84
Frans NielsenAGE:32PO:8OV:80
J.T MillerAGE:23PO:61OV:76
Adam LowryAGE:23PO:47OV:75
Maxime TalbotAGE:32PO:1OV:73
Glen MetropolitAGE:42PO:52OV:69
*Nick ShoreAGE:24PO:46OV:69
*Rocco GrimaldiAGE:23PO:47OV:60
*Lucas WallmarkAGE:22PO:87OV:57
Justin WilliamsAGE:35PO:61OV:85
Josh BaileyAGE:27PO:75OV:78
Charlie CoyleAGE:24PO:61OV:76
Steve BernierAGE:31PO:31OV:76
Gabriel DumontAGE:27PO:39OV:71
*Carl KlingbergAGE:27PO:51OV:63
*Pavel BuchnevichAGE:23PO:87OV:58
*Carter RowneyAGE:29PO:39OV:58
*Daniel SprongAGE:19PO:44OV:56
*Alex TuchAGE:22PO:95OV:55

Défense #1Défense #2Gardien
Erik KarlssonAGE:26PO:67OV:86
Duncan KeithAGE:33PO:63OV:84
Kevin ShattenkirkAGE:29PO:51OV:83
Ryan McDonaghAGE:28PO:56OV:81
Fedor TyutinAGE:33PO:17OV:77
Nicklas GrossmanAGE:32PO:1OV:77
Ryan MurphyAGE:23PO:67OV:75
*Brian DumoulinAGE:25PO:59OV:74
*Damon SeversonAGE:22PO:49OV:74
*Derrick PouliotAGE:22PO:47OV:71
*Martin MarincinAGE:24PO:67OV:69
*David RundbladAGE:27PO:57OV:68
Marc-Andre GragnaniAGE:29PO:35OV:68
*Anton LindholmAGE:23PO:79OV:56
*Matt GrzelcykAGE:24PO:79OV:56
Braden HoltbyAGE:28PO:81OV:94
Steve MasonAGE:28PO:74OV:87
Al MontoyaAGE:31PO:31OV:83
Justin PetersAGE:30PO:33OV:80
*Jack CampbellAGE:26PO:63OV:65

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 TambelliniPenguins
Andrew NielsenPenguins
Benjamin MirageasPenguins
Bogdan YakimovPenguins
Brendan WarrenPenguins
Clark BishopPenguins
Colin SmithPenguins
Conor TimminsPenguins
Dillon DubePenguins
Dominic TurgeonPenguins
Gabriel VilardiPenguins
Henri IkonenPenguins
Jack LafontainePenguins
Joey LaleggiaPenguins
Julius NattinenPenguins
Justin KirklandPenguins
Kieffer BellowsPenguins
Kyle OlsonPenguins
Malte SetkovPenguins
Martin GernatPenguins
Matt FinnPenguins
Nicolas Aube-KubelPenguins
Patrick HolwayPenguins
Riley StillmanPenguins
Samuel GirardPenguins
Shawn LalondePenguins
Simon BertilssonPenguins
Tarmo ReunanenPenguins
Ukko-Pekka LuukkonenPenguins
Vili SaarijarviPenguins
Zach BudishPenguins

Choix au Repêchage

Année R1R2R3R4R5R6
13PIT PIT PIT PIT PIT PIT
14PIT PIT PIT PIT PIT PIT
15PIT PIT PIT PIT PIT PIT
16PIT PIT PIT PIT PIT PIT
17PIT PIT PIT PIT PIT PIT



[2018-05-16 20:34:48] - Penguins was eliminated at round 3 of year 12.
[2018-04-25 09:50:11] - Penguins didn't make playoff for year 12.
[2017-10-13 11:01:45] - Kyle Olson has been added to Penguins.
[2017-10-13 10:39:02] - Malte Setkov has been added to Penguins.
[2017-10-06 10:32:35] - Benjamin Mirageas has been added to Penguins.
[2017-10-06 10:11:01] - Ukko-Pekka Luukkonen has been added to Penguins.
[2017-10-01 15:39:09] - Conor Timmins has been added to Penguins.
[2017-10-01 10:51:16] - Gabriel Vilardi has been added to Penguins.
[2017-10-01 09:53:09] - Carter Rowney was added to Penguins.
[2017-09-30 14:06:39] - Penguins hired Jacques Martin for 800 000 $ for 3 year(s).
[2017-09-17 10:01:35] - Vernon Fiddler retired from Penguins
[2017-09-15 11:31:35] - Bill Sweatt was released.
[2017-09-15 11:31:35] - Penguins paid 0 $ to release Bill Sweatt.
[2017-09-10 17:53:08] - Josh Archibald retired from Penguins
[2017-08-12 16:13:49] - Pavel Buchnevich has been deleted from Penguins.
[2017-08-12 16:13:46] - Matt Grzelcyk has been deleted from Penguins.
[2017-08-12 16:13:41] - Lucas Wallmark has been deleted from Penguins.
[2017-08-12 16:13:35] - Jack Campbell has been deleted from Penguins.
[2017-08-12 16:13:31] - Anton Lindholm has been deleted from Penguins.
[2017-08-12 16:13:27] - Alex Tuch has been deleted from Penguins.
[2017-08-12 16:12:57] - Pavel Buchnevich was added to Penguins.
[2017-08-12 16:12:51] - Matt Grzelcyk was added to Penguins.
[2017-08-12 16:12:48] - Lucas Wallmark was added to Penguins.
[2017-08-12 16:12:41] - Jack Campbell was added to Penguins.
[2017-08-12 16:12:37] - Anton Lindholm was added to Penguins.
[2017-08-12 16:12:32] - Alex Tuch was added to Penguins.
[2017-07-29 10:18:42] - Steve Downie retired from Penguins
[2017-07-29 10:13:05] - Jarret Stoll retired from Penguins
[2017-07-28 18:00:58] - David Moss retired from Penguins
[2017-07-16 18:32:49] - Andrew Hutchinson retired from Penguins
[2017-07-16 18:30:13] - Travis Roche retired from Penguins



[2018-05-16 20:34:48] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-05-15 18:48:01] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-05-14 18:32:15] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-05-13 21:47:39] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-05-13 21:47:39] Last 7 Days Pro Star : 1 - Mikko Koivu of Penguins (2-2-4) / 2 - Ryan Callahan of Sharks (3-0-3) / 3 - Erik Karlsson of Penguins (1-3-4)
[2018-05-12 19:32:40] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-05-11 19:40:18] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-05-10 20:44:54] Last 30 Days Pro Star : 1 - Braden Holtby of Penguins (0,951) / 2 - Henrik Zetterberg of Sharks (11-8-19) / 3 - Ben Bishop of Red Wings (0,936)
[2018-05-10 20:44:54] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-05-06 20:16:07] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-05-06 20:16:07] Last 7 Days Pro Star : 1 - Mikko Koivu of Penguins (5-3-8) / 2 - Braden Holtby of Penguins (0,956) / 3 - Justin Williams of Penguins (2-5-7)
[2018-05-05 19:33:28] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-05-05 19:33:28] Mikko Koivu from Penguins has scored a Hat Trick!
[2018-05-04 19:58:58] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-05-03 18:43:21] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-04-30 21:10:58] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-04-29 22:54:11] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2018-04-29 22:54:10] Last 7 Days Pro Star : 1 - Craig Anderson of Capitals (0,942) / 2 - Braden Holtby of Penguins (0,945) / 3 - Zach Parise of Red Wings (5-1-6)



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
1216115000004632149720000028171174300000181532246811270214151525691991821751354117211245368913.24%51786.27%018341743.88%19844244.80%9223139.83%358210350147280143
Total Séries16115000004632149720000028171174300000181532246811270214151525691991821751354117211245368913.24%51786.27%018341743.88%19844244.80%9223139.83%358210350147280143