Penguins

GP: 6 | W: 0 | L: 5 | OTL: 1 | P: 1
GF: 14 | GA: 23 | PP%: 16.67% | PK%: 70.37%
DG: Jeremy Lyrette | Morale : 41 | Moyenne d'Équipe : 72
Prochain matchs #80 vs Flyers
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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
1Ilya KovalchukX99.005836907788838276557374527886775342780
2Derek StepanX98.006237897674858675847270837177725842750
3Anthony BeauvillierX100.007436927669779472576371647363668042740
4Nick RitchieX100.008547597087787369537565676367668442740
5David BackesX100.008554816486738363746662636185763542730
6Jeff CarterX100.007341777287838970837167746884754642730
7Ryan DonatoX100.005836907073777467606869636665646942720
8Zach Aston-ReeseX100.007952747075756369586671786769665142710
9Jesse PuljujarviX100.007141776887696367626466636961638942700
10Josh LeivoX100.005949826479768964556168596671686042700
11Tobias RiederX100.007336926370738062536456745871665742670
12Alexander NylanderX100.005636926276816763596260565861638742670
13Johnny BoychukX97.008443846486848763307357785185763542750
14Ryan MurrayX98.005736906878876967308356885371668442750
15Jonas BrodinX100.006438846377879562307158805471688242720
16Rasmus DahlinX100.007839827781879576308068545759639442710
17Dmitry KulikovX100.008248716278837359306652734877696842700
18Miro HeiskanenX100.005637897476899572307571645760649142700
Rayé
1Ryan KeslerX100.008153716382817362855961756285764244700
2Cole SchneiderX100.006437876278918761655961596277795644690
3Justin SchultzX100.006836917379875072308163575477695844690
4Mike ReillyX100.006738866476847063307059625871676344670
MOYENNE D'ÉQUIPE99.64704183687981796752696468627269664271
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
1Matt Murray99.00939492829291939291939269736242860
2Casey DeSmith100.00908482718988908988908975814142820
Rayé
MOYENNE D'ÉQUIPE99.5092898777919092919092917277524284
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard70696475706580CAN4551,250,000$


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'ÉquipePOSGP 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
1Ilya KovalchukPenguinsLW6527-220111323151421.74%814223.762134210000230039.29%5641000.9801000100
2David BackesPenguinsRW6156-116013319155.26%311519.32022120000000068.75%1610001.0400000000
3Derek StepanPenguinsC6145-220814206195.00%714223.761125210000230051.08%18633000.7001000000
4Rasmus DahlinPenguinsD60330408611460.00%412520.93011115000015000.00%082000.4800000000
5Jeff CarterPenguinsC6213-2405922649.09%29616.10101317000000056.82%8833000.6201000000
6Zach Aston-ReesePenguinsC60331403414370.00%0467.8000000000000031.58%1922001.2801000000
7Josh LeivoPenguinsLW62020204192022.22%3528.7800000000160057.14%700000.7601000000
8Nick RitchiePenguinsLW6112-210073193105.26%410517.58011216000110000.00%764000.3801000000
9Ryan MurrayPenguinsD6112-2004784212.50%1717228.74000024000025000.00%059000.2300000000
10Ryan DonatoPenguinsC61010002315336.67%06611.0900001000020050.00%3610000.3000000000
11Jesse PuljujarviPenguinsRW6011-2207511240.00%19515.88011017000000066.67%341000.2101000000
12Johnny BoychukPenguinsD6011-22016911140.00%1417128.54000223000024000.00%018000.1200000000
13Jonas BrodinPenguinsD60110205147230.00%512220.39011115000015000.00%001000.1600000000
14Tobias RiederPenguinsRW6011020364410.00%4559.2800000000000050.00%402000.3600000000
15Anthony BeauvillierPenguinsLW6000-1002412640.00%38013.38000000001160020.00%522000.0001000000
16Dmitry KulikovPenguinsD6000-220922010.00%46811.440000000001000.00%002000.0000000000
17Alexander NylanderPenguinsRW6000000012110.00%0457.5900000000000050.00%200000.0000000000
18Miro HeiskanenPenguinsD6000-200225120.00%96510.860000000001000.00%011000.0000000000
Stats d'équipe Total ou en Moyenne108142438-1954010910621464906.54%88177116.4048121919900031660049.42%4294141000.4308000100
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
1Casey DeSmithPenguins10100.9004.00600044021000.000015000
2Matt MurrayPenguins50410.9033.55304001818580000.875851011
Stats d'équipe Total ou en Moyenne60510.9023.633640022225101000.875866011


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alexander NylanderPenguinsRW191998-03-02No192 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm863,333$863,333$794,815$NoLien
Anthony BeauvillierPenguinsLW201997-06-08No182 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm2,100,000$2,100,000$1,933,333$NoLien
Casey DeSmithPenguinsG261991-08-13No181 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm1,250,000$1,250,000$1,150,794$NoLien
Cole SchneiderPenguinsLW271990-08-26No203 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm750,000$750,000$690,476$NoLien
David BackesPenguinsRW331984-05-01No215 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm6,875,000$6,875,000$6,329,365$NoLien
Derek StepanPenguinsC271990-06-18No196 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm6,500,000$6,500,000$5,984,127$NoLien
Dmitry KulikovPenguinsD261990-10-29No204 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm4,500,000$4,500,000$4,142,857$NoLien
Ilya KovalchukPenguinsLW341983-04-15No222 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm8,750,000$8,750,000$8,055,556$NoLien
Jeff CarterPenguinsC321985-01-01No219 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm5,272,727$5,272,727$4,854,257$NoLien
Jesse PuljujarviPenguinsRW191998-05-07No201 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$690,476$NoLien
Johnny BoychukPenguinsD331984-01-19No227 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm6,000,000$6,000,000$5,523,810$NoLien
Jonas BrodinPenguinsD241993-07-12No198 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm4,166,667$4,166,667$3,835,979$NoLien
Josh LeivoPenguinsLW241993-05-26No192 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm1,500,000$1,500,000$1,380,952$NoLien
Justin SchultzPenguinsD271990-07-06No193 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm5,500,000$5,500,000$5,063,492$NoLien
Matt MurrayPenguinsG231994-05-25No178 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm3,750,000$3,750,000$3,452,381$NoLien
Mike ReillyPenguinsD241993-07-13No195 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm1,500,000$1,500,000$1,380,952$NoLien
Miro HeiskanenPenguinsD181999-07-18No185 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$690,476$NoLien
Nick RitchiePenguinsLW211995-12-05No234 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm1,498,925$1,498,925$1,379,963$NoLien
Rasmus DahlinPenguinsD172000-04-13No190 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm925,000$925,000$851,587$NoLien
Ryan DonatoPenguinsC211996-04-09No193 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm1,900,000$1,900,000$1,749,206$NoLien
Ryan KeslerPenguinsC331984-08-31No206 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm6,875,000$6,875,000$6,329,365$NoLien
Ryan MurrayPenguinsD241993-09-27No205 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm4,600,000$4,600,000$4,234,921$NoLien
Tobias RiederPenguinsRW241993-01-10No186 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$690,476$NoLien
Zach Aston-ReesePenguinsC231994-08-10No204 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm1,000,000$1,000,000$920,635$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2424.96200 Lbs6 ft11.833,263,611$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
78,326,652$60,076,652$19,397,727$0$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ilya KovalchukDerek StepanDavid Backes40122
2Anthony BeauvillierJeff CarterJesse Puljujarvi30122
3Nick RitchieRyan DonatoAlexander Nylander20122
4Josh LeivoZach Aston-ReeseTobias Rieder10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan MurrayJohnny Boychuk40122
2Jonas BrodinRasmus Dahlin30122
3Miro HeiskanenDmitry Kulikov20122
4Ryan MurrayJohnny Boychuk10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ilya KovalchukDerek StepanDavid Backes60122
2Anthony BeauvillierJeff CarterJesse Puljujarvi40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan MurrayJohnny Boychuk60122
2Jonas BrodinRasmus Dahlin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ilya KovalchukDerek Stepan60122
2Anthony BeauvillierNick Ritchie40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan MurrayJohnny Boychuk60122
2Jonas BrodinRasmus Dahlin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ilya Kovalchuk60122Ryan MurrayJohnny Boychuk60122
2Derek Stepan40122Jonas BrodinRasmus Dahlin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ilya KovalchukDerek Stepan60122
2Anthony BeauvillierNick Ritchie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan MurrayJohnny Boychuk60122
2Jonas BrodinRasmus Dahlin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ilya KovalchukDerek StepanDavid BackesRyan MurrayJohnny Boychuk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ilya KovalchukDerek StepanDavid BackesRyan MurrayJohnny Boychuk
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Donato, Zach Aston-Reese, Josh LeivoRyan Donato, Zach Aston-ReeseJosh Leivo
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Miro Heiskanen, Dmitry Kulikov, Jonas BrodinMiro HeiskanenDmitry Kulikov, Jonas Brodin
Tirs de Pénalité
Ilya Kovalchuk, Derek Stepan, Anthony Beauvillier, Nick Ritchie, David Backes
Gardien
#1 : Casey DeSmith, #2 : Matt Murray


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
1Blue Jackets1010000045-11010000045-10000000000000.000481200211037138160271710245120.00%5260.00%07817145.61%8415952.83%509751.55%21112010188
2Capitals1010000025-3000000000001010000025-300.0002350001102610970441918114125.00%9366.67%07817145.61%8415952.83%509751.55%1782510168
3Devils2020000036-31010000024-21010000012-100.000358000210752827200842716355120.00%8362.50%07817145.61%8415952.83%509751.55%402344183416
4Flyers1010000034-11010000034-10000000000000.00035800030039161112034184214125.00%20100.00%07817145.61%8415952.83%509751.55%2314198179
5Islanders1000000123-1000000000001000000123-110.50023500020037814158367618600.00%30100.00%07817145.61%8415952.83%509751.55%221222101910
Total605000011423-930300000913-430200001510-510.0831424380029302147569708225885410924416.67%27870.37%07817145.61%8415952.83%509751.55%125701335710652
_Since Last GM Reset605000011423-930300000913-430200001510-510.0831424380029302147569708225885410924416.67%27870.37%07817145.61%8415952.83%509751.55%125701335710652
_Vs Conference605000011423-930300000913-430200001510-510.0831424380029302147569708225885410924416.67%27870.37%07817145.61%8415952.83%509751.55%125701335710652
_Vs Division605000011423-930300000913-430200001510-510.0831424380029302147569708225885410924416.67%27870.37%07817145.61%8415952.83%509751.55%125701335710652

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
61L3142438214225885410900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
60500011423
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000913
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3020001510
Derniers 10 Matchs
WLOTWOTL SOWSOL
050001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
24416.67%27870.37%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
75697082930
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
7817145.61%8415952.83%509751.55%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
125701335710652


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
2 - 2019-10-0511Blue Jackets5Penguins4LSommaire du Match
5 - 2019-10-0825Penguins2Capitals5LSommaire du Match
7 - 2019-10-1032Penguins2Islanders3LXXSommaire du Match
8 - 2019-10-1141Penguins1Devils2LSommaire du Match
10 - 2019-10-1348Flyers4Penguins3LSommaire du Match
13 - 2019-10-1665Devils4Penguins2LSommaire du Match
16 - 2019-10-1980Penguins-Flyers-
18 - 2019-10-2187Islanders-Penguins-
20 - 2019-10-23102Capitals-Penguins-
22 - 2019-10-25110Penguins-Devils-
26 - 2019-10-29130Blue Jackets-Penguins-
28 - 2019-10-31144Penguins-Blue Jackets-
29 - 2019-11-01153Penguins-Lightning-
30 - 2019-11-02161Senateurs-Penguins-
33 - 2019-11-05177Penguins-Islanders-
35 - 2019-11-07184Blackhawks-Penguins-
38 - 2019-11-10198Maple Leafs-Penguins-
40 - 2019-11-12209Penguins-Blues-
43 - 2019-11-15221Blues-Penguins-
47 - 2019-11-19240Penguins-Blue Jackets-
49 - 2019-11-21248Penguins-Stars-
50 - 2019-11-22257Ducks-Penguins-
53 - 2019-11-25269Penguins-Bruins-
55 - 2019-11-27279Avalanche-Penguins-
57 - 2019-11-29294Sharks-Penguins-
58 - 2019-11-30301Penguins-Avalanche-
62 - 2019-12-04320Jets-Penguins-
64 - 2019-12-06325Penguins-Flames-
66 - 2019-12-08336Penguins-Ducks-
68 - 2019-12-10350Flyers-Penguins-
70 - 2019-12-12359Penguins-Blue Jackets-
73 - 2019-12-15373Islanders-Penguins-
77 - 2019-12-19393Kings-Penguins-
79 - 2019-12-21411Flyers-Penguins-
81 - 2019-12-23421Penguins-Stars-
83 - 2019-12-25427Penguins-Sharks-
85 - 2019-12-27440Islanders-Penguins-
87 - 2019-12-29448Penguins-Predateurs-
89 - 2019-12-31464Stars-Penguins-
91 - 2020-01-02474Penguins-Flyers-
93 - 2020-01-04486Predateurs-Penguins-
96 - 2020-01-07505Penguins-Canadiens-
98 - 2020-01-09514Devils-Penguins-
101 - 2020-01-12532Senateurs-Penguins-
103 - 2020-01-14543Penguins-Oilers-
104 - 2020-01-15553Penguins-Canadiens-
106 - 2020-01-17560Penguins-Jets-
107 - 2020-01-18568Devils-Penguins-
111 - 2020-01-22582Penguins-Panthers-
113 - 2020-01-24591Capitals-Penguins-
115 - 2020-01-26605Penguins-Panthers-
117 - 2020-01-28614Bruins-Penguins-
119 - 2020-01-30626Penguins-Golden Knights-
120 - 2020-01-31637Golden Knights-Penguins-
123 - 2020-02-03653Penguins-Kings-
125 - 2020-02-05659Penguins-Blackhawks-
126 - 2020-02-06669Canadiens-Penguins-
129 - 2020-02-09684Blue Jackets-Penguins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
134 - 2020-02-14705Flames-Penguins-
136 - 2020-02-16718Penguins-Bruins-
138 - 2020-02-18727Penguins-Islanders-
140 - 2020-02-20735Bruins-Penguins-
142 - 2020-02-22749Penguins-Lightning-
144 - 2020-02-24759Capitals-Penguins-
147 - 2020-02-27774Oilers-Penguins-
149 - 2020-02-29789Penguins-Capitals-
152 - 2020-03-03801Blue Jackets-Penguins-
155 - 2020-03-06821Blackhawks-Penguins-
160 - 2020-03-11843Maple Leafs-Penguins-
162 - 2020-03-13852Penguins-Maple Leafs-
165 - 2020-03-16868Panthers-Penguins-
167 - 2020-03-18880Penguins-Capitals-
168 - 2020-03-19888Penguins-Flyers-
170 - 2020-03-21894Panthers-Penguins-
173 - 2020-03-24912Penguins-Maple Leafs-
174 - 2020-03-25917Lightning-Penguins-
178 - 2020-03-29939Canadiens-Penguins-
183 - 2020-04-03954Penguins-Senateurs-
184 - 2020-04-04960Penguins-Devils-
185 - 2020-04-05965Lightning-Penguins-
186 - 2020-04-06973Penguins-Senateurs-
187 - 2020-04-07981Penguins-Devils-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets115845945215
Assistance13,6009,5403,2346,4002,241
Attendance PCT75.56%63.60%53.90%53.33%74.70%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 11672 - 64.84% 1,507,778$4,523,335$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
6,295,759$ 78,326,652$ 78,326,652$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
78,326,652$ 6,196,563$ 0$ 24 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
57,295,577$ 174 421,040$ 73,260,960$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
74,521,120$ 78,326,652$ 2,498,020$ -14,727,523$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Ilya KovalchukAGE:34PO:53OV:78
Nick RitchieAGE:21PO:84OV:74
Anthony BeauvillierAGE:20PO:80OV:74
Josh LeivoAGE:24PO:60OV:70
Cole SchneiderAGE:27PO:56OV:69
Nathan GerbeAGE:30PO:53OV:68
Derek StepanAGE:27PO:58OV:75
Jeff CarterAGE:32PO:46OV:73
Ryan DonatoAGE:21PO:69OV:72
Zach Aston-ReeseAGE:23PO:51OV:71
Casey MittelstadtAGE:18PO:87OV:70
Ryan KeslerAGE:33PO:42OV:70
Melker KarlssonAGE:27PO:36OV:68
Matthew PecaAGE:24PO:47OV:67
Jacob de la RoseAGE:22PO:75OV:64
David BackesAGE:33PO:35OV:73
Jesse PuljujarviAGE:19PO:89OV:70
Alexander NylanderAGE:19PO:87OV:67
Tobias RiederAGE:24PO:57OV:67
Kailer YamamotoAGE:19PO:82OV:65
Jimmy HayesAGE:27PO:54OV:64

Défense #1Défense #2Gardien
Ryan MurrayAGE:24PO:84OV:75
Johnny BoychukAGE:33PO:35OV:75
Jonas BrodinAGE:24PO:82OV:72
Rasmus DahlinAGE:17PO:94OV:71
Miro HeiskanenAGE:18PO:91OV:70
Dmitry KulikovAGE:26PO:68OV:70
Justin SchultzAGE:27PO:58OV:69
Mike ReillyAGE:24PO:63OV:67
Jake DotchinAGE:23PO:54OV:65
Roland McKeownAGE:21PO:71OV:63
Matt MurrayAGE:23PO:62OV:86
Casey DeSmithAGE:26PO:41OV:82
Alex NedeljkovicAGE:21PO:78OV:74
Thatcher DemkoAGE:21PO:78OV:74

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 TurcottePenguins34
Bowen ByramPenguins33
Callum BothPenguins
Cody GlassPenguins2017
Emil BemstromPenguins354
Evan BouchardPenguins20187
Ilya KonovalovPenguins397
Jack HughesPenguins31
Jake EvansPenguins201865
Joel WardPenguins
Jonathan DahlenPenguins201642
Kasper BjorkqvistPenguins201889
Kirby DachPenguins35
Max JonesPenguins201624
Miltchell StephensPenguins
Nathan LegarePenguins349
Nils HoglanderPenguins330
Noah DobsonPenguins20189
Olivier RodriguePenguins201839
Olli JuoleviPenguins20165
Raphael LavoiePenguins325
Rick NashPenguins
Serron NoelPenguins201821
Spencer KnightPenguins315
Taylor RaddyshPenguins201658
Tomas PlekanecPenguins
Trevor MoorePenguins373
Ville HeinolaPenguins322
Ville MeskanenPenguins

Choix au Repêchage

Année R1R2R3R4R5
4Pit WSH Pit VGS Pit Pit CGY
5Pit Pit Pit Pit DAL Pit
6Pit Pit DAL Pit Pit Pit
7Pit TOR Pit Pit Pit Pit
8Pit Pit Pit Pit Pit



[2019-10-04 16:51:21] - Nathan Gerbe was added to Penguins.
[2019-10-04 16:51:08] - Cole Schneider was added to Penguins.
[2019-09-30 22:49:52] - TRADE : From Penguins to Flames : Y:4-RND:5-Pit.
[2019-09-30 22:49:52] - TRADE : From Flames to Penguins : Jeff Carter (73), Y:4-RND:4-CGY.
[2019-09-24 20:19:07] - Penguins hired Joel Bouchard for 1 250 000 $ for 5 year(s).
[2019-09-16 21:53:25] - Michal Neuvirth was released.
[2019-09-16 21:53:25] - Cam Ward was released.
[2019-09-16 21:53:25] - Niklas Hjalmarsson was released.
[2019-09-16 21:53:25] - Matt Cullen was released.
[2019-09-16 21:53:25] - Braydon Coburn was released.
[2019-08-26 22:57:12] - Ville Meskanen has been added to Penguins.
[2019-08-26 22:35:45] - Penguins drafts Ilya Konovalov as the #97 overall pick in the Entry Draft of year 3.
[2019-07-12 23:11:28] - Penguins drafts Trevor Moore as the #73 overall pick in the Entry Draft of year 3.
[2019-07-03 23:42:42] - Penguins drafts Emil Bemstrom as the #54 overall pick in the Entry Draft of year 3.
[2019-07-03 23:40:09] - Penguins drafts Nathan Legare as the #49 overall pick in the Entry Draft of year 3.
[2019-07-03 23:34:28] - Penguins drafts Nils Hoglander as the #30 overall pick in the Entry Draft of year 3.
[2019-07-01 16:37:10] - Penguins drafts Raphael Lavoie as the #25 overall pick in the Entry Draft of year 3.
[2019-07-01 16:30:34] - TRADE : From Senateurs to Penguins : Evan Bouchard (P).
[2019-07-01 16:30:34] - TRADE : From Penguins to Senateurs : Y:3-RND:2-WSH, Y:3-RND:2-DAL.
[2019-07-01 16:04:46] - Penguins drafts Ville Heinola as the #22 overall pick in the Entry Draft of year 3.
[2019-07-01 16:03:27] - Penguins drafts Spencer Knight as the #15 overall pick in the Entry Draft of year 3.
[2019-07-01 14:35:06] - Penguins drafts Kirby Dach as the #5 overall pick in the Entry Draft of year 3.
[2019-07-01 14:34:52] - Penguins drafts Alex Turcotte as the #4 overall pick in the Entry Draft of year 3.
[2019-07-01 14:19:50] - Penguins drafts Bowen Byram as the #3 overall pick in the Entry Draft of year 3.
[2019-07-01 14:07:13] - Penguins drafts Jack Hughes as the #1 overall pick in the Entry Draft of year 3.
[2019-06-30 01:07:07] - TRADE : From Oilers to Penguins : Max Jones (P), Y:3-RND:1-EDM, Y:3-RND:2-WSH, Y:3-RND:3-FLA.
[2019-06-30 01:07:07] - TRADE : From Penguins to Oilers : Brady Tkachuk (76).
[2019-06-02 22:25:37] - TRADE : From Golden Knights to Penguins : Jonas Brodin (73), Y:4-RND:2-VGS.
[2019-06-02 22:25:37] - TRADE : From Penguins to Golden Knights : Patric Hornqvist (77).
[2019-06-01 22:44:12] - TRADE : From Golden Knights to Penguins : Thatcher Demko (74), Y:3-RND:1-TB., Y:3-RND:1-VGS, Y:6-RND:2-DAL.
[2019-06-01 22:44:12] - TRADE : From Penguins to Golden Knights : Jake Guentzel (82).
[2019-06-01 22:19:45] - Miro Heiskanen was added to Penguins.
[2019-06-01 22:18:52] - Miro Heiskanen has been deleted from Penguins.
[2019-06-01 22:18:23] - Casey Mittelstadt was added to Penguins.
[2019-06-01 22:17:29] - Casey Mittelstadt has been deleted from Penguins.
[2019-05-28 21:56:49] - Brady Tkachuk was added to Penguins.
[2019-05-28 21:56:28] - Brady Tkachuk has been deleted from Penguins.
[2019-05-28 14:17:18] - TRADE : From Penguins to Capitals : Marc Staal (74), Nikita Kucherov (88).
[2019-05-28 14:17:18] - TRADE : From Capitals to Penguins : Johnny Boychuk (75), Ryan Donato (73), Nick Ritchie (76), Noah Dobson (P), Y:3-RND:1-WSH, Y:4-RND:1-WSH.
[2019-05-27 20:00:18] - TRADE : From Penguins to Stars : John Carlson (80), Brent Burns (80), David Perron (86), Jonathan Toews (80), Jeremy Bracco (60).
[2019-05-27 20:00:18] - TRADE : From Stars to Penguins : Alexander Nylander (57), Ryan Murray (70), Dmitry Kulikov (73), Ilya Kovalchuk (77), Justin Schultz (71), Ryan Kesler (72), Y:3-RND:1-DAL, Y:7-RND:1-TOR, Y:3-RND:2-FLA.
[2019-05-26 21:53:43] - John Cooper contract with Penguins has ended.
[2019-04-18 21:34:22] - Penguins was eliminated at round 1 of year 2.
[2019-04-03 21:21:12] - Penguins didn't make playoff for year 2.
[2019-02-14 21:49:37] - New Record for Team's Most Shots (47) in 1 Game for Penguins!
[2019-02-12 18:28:01] - TRADE : From Penguins to Senateurs : Zdeno Chara (83).
[2019-02-12 18:28:01] - TRADE : From Senateurs to Penguins : Tobias Rieder (71), Y:3-RND:5-Pit.
[2019-01-18 17:48:54] - Rasmus Dahlin was added to Penguins.



[2019-10-15 21:27:52] Both Penguins and Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-15 21:27:22] Auto Lines Function has been run for Penguins.
[2019-10-15 21:27:22] Auto Roster Partial Function has been run for Penguins.
[2019-10-13 20:51:48] Matt Murray from Penguins is back from Exhaustion.
[2019-10-13 20:51:48] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-12 20:22:40] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-12 20:22:39] Matt Murray from Penguins injured (Exhaustion)
[2019-10-10 20:42:15] Both Penguins and Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-09 21:18:36] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-08 20:54:45] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-07 21:48:40] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-06 20:44:02] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 21:22:47] Both Penguins and Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:17] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:16] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:12] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:08] Penguins lines for next game are empty. Current rosters/lines are not erased.



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
3605000011423-930300000913-430200001510-511424380029302147569708225885410924416.67%27870.37%07817145.61%8415952.83%509751.55%125701335710652
Total Saison Régulière605000011423-930300000913-430200001510-511424380029302147569708225885410924416.67%27870.37%07817145.61%8415952.83%509751.55%125701335710652