Pittsburgh Penguins

GP: 7 | W: 4 | L: 3 | OTL: 0 | P: 8
GF: 21 | GA: 15 | PP%: 24.00% | PK%: 83.33%
DG: Maxime Roy | Morale : 51 | Moyenne d'Équipe : 72
Prochain matchs #123 vs Tampa Bay Lightning
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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
1Nikita KucherovX100.005743748668859590529386599271746653770
2Johnny GaudreauX100.005238868962869591528879569071745953750
3Cam AtkinsonX100.005637887864859377587484768078805353740
4Ryan JohansenX100.007640717887859377868269747673757653740
5Vincent TrocheckX100.008445717568856874868076777371676353720
6Andreas AthanasiouXXX100.005640838078828977707278638269715853710
7Alexander KerfootXX100.005640827465779173767470587271664753680
8Danton HeinenXXX100.006237897075769068717567666567665853680
9Marcus SorensenXX100.007343876868739367546369736873685154670
10Oskar SundqvistX100.007938856685758764756563766369676253670
11Josh ArchibaldX100.008742846466748163576265746173684253660
12Denis MalginXXX100.006638896965737268736767666863625753650
13Ryan SuterX100.007145807481949573308364855684764653760
14Colton ParaykoX100.008142906898899366307667825471696053750
15Jared SpurgeonX100.007137897463919572307973865878703953740
16Braydon CoburnX100.007740796394818762307456744984744653710
17Ben HuttonX100.006347796282898261307057745271675353680
18Vince DunnX100.005846827075839168307669635665676954670
Rayé
MOYENNE D'ÉQUIPE100.00684183737582887255757071687270565371
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
1Jonathan Quick100.00929189819190929190929182873953870
2Alex Stalock100.00777573747675777675777680863753750
Rayé
MOYENNE D'ÉQUIPE100.0085838178848385848385848187385381
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peters76909483787371CAN524100,000$


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
1Johnny GaudreauPittsburgh PenguinsLW734700012127122811.11%217124.552355220000251077.78%900000.8100000101
2Nikita KucherovPittsburgh PenguinsRW74260406202581916.00%116924.162134220001222044.64%5600000.7100000001
3Ryan JohansenPittsburgh PenguinsC715608032121910165.26%215622.29134522000090055.17%20300000.7700000100
4Ryan SuterPittsburgh PenguinsD7145-36089107610.00%1618326.26123322000016000.00%000000.5400000000
5Alexander KerfootPittsburgh PenguinsC/LW713410041111499.09%07811.2400000000020049.46%9300001.0200000011
6Jared SpurgeonPittsburgh PenguinsD7044-380121220390.00%1218126.000221222000014000.00%000000.4400000000
7Vincent TrocheckPittsburgh PenguinsC71342202818278193.70%212117.32000619000001054.79%18800000.6600000000
8Colton ParaykoPittsburgh PenguinsD704442022612560.00%814520.79011519000017000.00%000000.5500000000
9Andreas AthanasiouPittsburgh PenguinsC/LW/RW721322008274137.41%012117.39000619000000033.33%900000.4900000000
10Oskar SundqvistPittsburgh PenguinsC73031005972342.86%0415.9100000000050158.18%5500001.4500000010
11Braydon CoburnPittsburgh PenguinsD71124407372614.29%514520.73000419000018000.00%000000.2800000010
12Denis MalginPittsburgh PenguinsC/LW/RW7022100115130.00%1344.9800000000000040.00%500001.1500000000
13Marcus SorensenPittsburgh PenguinsLW/RW72021135148123916.67%07510.7300000000000050.00%600000.5300001010
14Danton HeinenPittsburgh PenguinsC/LW/RW711212056155116.67%07510.8300000000000028.57%700000.5300000010
15Cam AtkinsonPittsburgh PenguinsRW7101200014229224.55%413419.240004190000110040.91%2200000.1500000000
16Ben HuttonPittsburgh PenguinsD7011320963130.00%78812.710000000001000.00%000000.2200000000
17Josh ArchibaldPittsburgh PenguinsRW7011100417020.00%0344.9800000000000050.00%400000.5700000000
18Vince DunnPittsburgh PenguinsD7011395352160.00%89413.480000000009000.00%000000.2100001000
Stats d'équipe Total ou en Moyenne126213758206210161170258851908.14%68205416.31612185420800011564152.66%65700000.5600002253
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
1Jonathan QuickPittsburgh Penguins74300.9292.0141902141980010.000070210
Stats d'équipe Total ou en Moyenne74300.9292.0141902141980010.000070210


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
Alex StalockPittsburgh PenguinsG311987-07-28No198 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm750,000$750,000$750,000$NoLien
Alexander KerfootPittsburgh PenguinsC/LW241994-08-11No175 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Andreas AthanasiouPittsburgh PenguinsC/LW/RW241994-08-06No188 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Ben HuttonPittsburgh PenguinsD261993-04-20No206 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Braydon CoburnPittsburgh PenguinsD341985-02-27No223 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien
Cam AtkinsonPittsburgh PenguinsRW301989-06-05No179 Lbs5 ft8NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Colton ParaykoPittsburgh PenguinsD261993-05-12No230 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Danton HeinenPittsburgh PenguinsC/LW/RW231995-07-05No188 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Denis MalginPittsburgh PenguinsC/LW/RW221997-01-18No177 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm500,000$500,000$500,000$NoLien
Jared SpurgeonPittsburgh PenguinsD291989-11-29No167 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Johnny GaudreauPittsburgh PenguinsLW251993-08-13No165 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Jonathan QuickPittsburgh PenguinsG331986-01-21No216 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$6,500,000$NoLien
Josh ArchibaldPittsburgh PenguinsRW261992-10-06No176 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Marcus SorensenPittsburgh PenguinsLW/RW271992-04-07No175 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Nikita KucherovPittsburgh PenguinsRW261993-06-17No178 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Oskar SundqvistPittsburgh PenguinsC251994-03-23No209 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Ryan JohansenPittsburgh PenguinsC261992-07-31No218 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Ryan SuterPittsburgh PenguinsD341985-01-21No208 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Vince DunnPittsburgh PenguinsD221996-10-29No203 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$500,000$500,000$NoLien
Vincent TrocheckPittsburgh PenguinsC251993-07-11No186 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2026.90193 Lbs6 ft02.052,397,500$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
47,950,000$29,900,000$13,600,000$3,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauRyan JohansenNikita Kucherov40122
2Andreas AthanasiouVincent TrocheckCam Atkinson30122
3Danton HeinenAlexander KerfootMarcus Sorensen20122
4Denis MalginOskar SundqvistJosh Archibald10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon40122
2Colton ParaykoBraydon Coburn30122
3Ben HuttonVince Dunn20122
4Ryan SuterJared Spurgeon10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauRyan JohansenNikita Kucherov60122
2Andreas AthanasiouVincent TrocheckCam Atkinson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60122
2Colton ParaykoBraydon Coburn40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nikita KucherovJohnny Gaudreau60122
2Cam AtkinsonRyan Johansen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60122
2Colton ParaykoBraydon Coburn40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nikita Kucherov60122Ryan SuterJared Spurgeon60122
2Johnny Gaudreau40122Colton ParaykoBraydon Coburn40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nikita KucherovJohnny Gaudreau60122
2Cam AtkinsonRyan Johansen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60122
2Colton ParaykoBraydon Coburn40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johnny GaudreauRyan JohansenNikita KucherovRyan SuterJared Spurgeon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johnny GaudreauRyan JohansenNikita KucherovRyan SuterJared Spurgeon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alexander Kerfoot, Danton Heinen, Oskar SundqvistAlexander Kerfoot, Danton HeinenOskar Sundqvist
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ben Hutton, Vince Dunn, Colton ParaykoBen HuttonVince Dunn, Colton Parayko
Tirs de Pénalité
Nikita Kucherov, Johnny Gaudreau, Cam Atkinson, Ryan Johansen, Vincent Trocheck
Gardien
#1 : Jonathan Quick, #2 : Alex Stalock


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
1Buffalo Sabres21100000550110000002021010000035-220.5005914111130551619200691920404125.00%100100.00%015028852.08%13124653.25%6512352.85%473147152512
2Detroit Red Wings11000000633110000006330000000000021.000610160006004361423024128166233.33%4250.00%015028852.08%13124653.25%6512352.85%2518216137
3Montreal Canadiens1010000012-11010000012-10000000000000.0001120010003012135037151527100.00%5180.00%015028852.08%13124653.25%6512352.85%2215247136
4Ottawa Senators11000000404000000000001100000040421.000481201121038161480257916200.00%10100.00%015028852.08%13124653.25%6512352.85%2618206136
5Toronto Maple Leafs211000005501010000023-11100000032120.50059140031109229243904415106212325.00%4175.00%015028852.08%13124653.25%6512352.85%533841152413
Total743000002115642200000118332100000107380.57121375812610502587984950199686216125624.00%24483.33%015028852.08%13124653.25%6512352.85%175122154528945
_Since Last GM Reset743000002115642200000118332100000107380.57121375812610502587984950199686216125624.00%24483.33%015028852.08%13124653.25%6512352.85%175122154528945
_Vs Conference743000002115642200000118332100000107380.57121375812610502587984950199686216125624.00%24483.33%015028852.08%13124653.25%6512352.85%175122154528945

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
78W1213758258199686216112
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
74300002115
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4220000118
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3210000107
Derniers 10 Matchs
WLOTWOTL SOWSOL
430000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
25624.00%24483.33%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
798495061050
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
15028852.08%13124653.25%6512352.85%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
175122154528945


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 - 2019-09-0212Pittsburgh Penguins4Ottawa Senators0WSommaire du Match
2 - 2019-09-0319Detroit Red Wings3Pittsburgh Penguins6WSommaire du Match
4 - 2019-09-0539Pittsburgh Penguins3Toronto Maple Leafs2WSommaire du Match
7 - 2019-09-0857Montreal Canadiens2Pittsburgh Penguins1LSommaire du Match
8 - 2019-09-0972Toronto Maple Leafs3Pittsburgh Penguins2LSommaire du Match
9 - 2019-09-1090Pittsburgh Penguins3Buffalo Sabres5LSommaire du Match
10 - 2019-09-11106Buffalo Sabres0Pittsburgh Penguins2WSommaire du Match
13 - 2019-09-14123Pittsburgh Penguins-Tampa Bay Lightning-
14 - 2019-09-15140Ottawa Senators-Pittsburgh Penguins-
16 - 2019-09-17159Tampa Bay Lightning-Pittsburgh Penguins-
18 - 2019-09-19187Florida Panthers-Pittsburgh Penguins-
21 - 2019-09-22212Pittsburgh Penguins-Florida Panthers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
22 - 2019-09-23218Pittsburgh Penguins-Boston Bruins-
23 - 2019-09-24221Boston Bruins-Pittsburgh Penguins-
25 - 2019-09-26237Pittsburgh Penguins-Detroit Red Wings-
26 - 2019-09-27247Pittsburgh Penguins-Montreal Canadiens-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
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
4 0 - 0.00% 0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 47,950,000$ 18,921,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 15 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 135,745,591$ 135,745,591$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Johnny GaudreauAGE:25PO:59OV:75
Andreas AthanasiouAGE:24PO:58OV:71
Danton HeinenAGE:23PO:58OV:68
Alexander KerfootAGE:24PO:47OV:68
Marcus SorensenAGE:27PO:51OV:67
Denis MalginAGE:22PO:57OV:65
Warren FoegeleAGE:23PO:62OV:64
Kenny AgostinoAGE:27PO:53OV:63
Brendan LemieuxAGE:23PO:78OV:62
William CarrierAGE:24PO:67OV:62
Blake PietilaAGE:26PO:63OV:62
Robby FabbriAGE:23PO:81OV:61
Aleksi SaarelaAGE:22PO:63OV:61
*Pierre EngvallAGE:23PO:62OV:61
Valentin ZykovAGE:24PO:74OV:60
Andrew MangiapaneAGE:23PO:56OV:60
*Adam MascherinAGE:21PO:64OV:59
*Kristian VesalainenAGE:20PO:83OV:58
*Shane GersichAGE:22PO:56OV:58
Jonny BrodzinskiAGE:26PO:52OV:57
Paul BittnerAGE:22PO:72OV:55
Ryan JohansenAGE:26PO:76OV:74
Vincent TrocheckAGE:25PO:63OV:72
Andreas AthanasiouAGE:24PO:58OV:71
Danton HeinenAGE:23PO:58OV:68
Alexander KerfootAGE:24PO:47OV:68
Oskar SundqvistAGE:25PO:62OV:67
Denis MalginAGE:22PO:57OV:65
Lukas RadilAGE:28PO:46OV:64
Blake PietilaAGE:26PO:63OV:62
Robby FabbriAGE:23PO:81OV:61
Karson KuhlmanAGE:23PO:52OV:61
Matthew PecaAGE:26PO:47OV:61
*Dylan GambrellAGE:22PO:67OV:59
*Rhett GardnerAGE:23PO:62OV:59
Adam MusilAGE:22PO:63OV:58
Rourke ChartierAGE:23PO:54OV:58
Nic PetanAGE:24PO:72OV:54
Nikita KucherovAGE:26PO:66OV:77
Cam AtkinsonAGE:30PO:53OV:74
Andreas AthanasiouAGE:24PO:58OV:71
Danton HeinenAGE:23PO:58OV:68
Marcus SorensenAGE:27PO:51OV:67
Josh ArchibaldAGE:26PO:42OV:66
Denis MalginAGE:22PO:57OV:65
Warren FoegeleAGE:23PO:62OV:64
Denis GurianovAGE:22PO:85OV:63
William CarrierAGE:24PO:67OV:62
*Pierre EngvallAGE:23PO:62OV:61
Valentin ZykovAGE:24PO:74OV:60
Anthony AngelloAGE:23PO:62OV:60
Nicolas Aube-KubelAGE:23PO:72OV:58
*Cliff PuAGE:21PO:72OV:57
*Lukas JasekAGE:21PO:63OV:57

Défense #1Défense #2Gardien
Ryan SuterAGE:34PO:46OV:76
Colton ParaykoAGE:26PO:60OV:75
Jared SpurgeonAGE:29PO:39OV:74
Braydon CoburnAGE:34PO:46OV:71
Ben HuttonAGE:26PO:53OV:68
Vince DunnAGE:22PO:69OV:67
Ian McCoshenAGE:23PO:76OV:64
Jonas SiegenthalerAGE:22PO:70OV:64
Tommy CrossAGE:29PO:62OV:64
Dillon SimpsonAGE:26PO:59OV:63
Connor CarrickAGE:25PO:55OV:63
Kurtis MacDermidAGE:25PO:51OV:63
Darren RaddyshAGE:23PO:62OV:62
Brendan GuhleAGE:21PO:72OV:61
Connor HobbsAGE:22PO:63OV:61
*Lucas CarlssonAGE:21PO:63OV:61
Jack DoughertyAGE:23PO:62OV:61
Jordan SubbanAGE:24PO:62OV:60
Jake WalmanAGE:23PO:56OV:60
Ben GleasonAGE:21PO:54OV:60
Sergei BoikovAGE:23PO:68OV:59
*Riley StillmanAGE:21PO:60OV:59
*Michael PrapavessisAGE:28PO:62OV:58
Jeff TaylorAGE:25PO:60OV:57
Jonathan QuickAGE:33PO:39OV:87
Alex StalockAGE:31PO:37OV:75
Alex NedeljkovicAGE:23PO:78OV:73
*Merrick MadsenAGE:23PO:52OV:73
*Mikhail BerdinAGE:21PO:53OV:72
*Dylan WellsAGE:21PO:53OV:71
*Nick SchneiderAGE:21PO:53OV:70
Brandon HalversonAGE:23PO:53OV:69
Zachary FucaleAGE:24PO:52OV:68
Ken ApplebyAGE:24PO:52OV:68
*Colton PointAGE:21PO:73OV: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 RuzickaPittsburgh Penguins1383
Andrew PeekePittsburgh Penguins1283
Anthony AngeloPittsburgh Penguins10166
Antoine VermettePittsburgh Penguins
Blade JenkinsPittsburgh Penguins14139
Calen AddisonPittsburgh Penguins1438
Cole GuttmanPittsburgh Penguins13179
Conner HurleyPittsburgh Penguins981
Connor DewarPittsburgh Penguins1452
Danila ZhuravlyovPittsburgh Penguins14144
David CottonPittsburgh Penguins11146
David TendeckPittsburgh Penguins14184
Dmitri SamorukovPittsburgh Penguins1382
Dmitri SemykinPittsburgh Penguins14151
Eetu PakkilaPittsburgh Penguins14170
Eetu TuulolaPittsburgh Penguins12158
Elvis MerzilikinsPittsburgh Penguins
Gilles SennPittsburgh Penguins13170
Grant MismashPittsburgh Penguins1375
Jake PivonkaPittsburgh Penguins14143
Jamie McBainPittsburgh Penguins
Joel FarabeePittsburgh Penguins1419
John LeonardPittsburgh Penguins14132
John PiccinichPittsburgh Penguins10138
Joshua EssPittsburgh Penguins13163
Kasper KotkansaloPittsburgh Penguins13139
Kirill MaksimovPittsburgh Penguins1379
Linus LindstromPittsburgh Penguins12164
Luc SnuggerudPittsburgh Penguins
Mac HollowellPittsburgh Penguins1465
Martin FehervaryPittsburgh Penguins1448
Mattias SamuelssonPittsburgh Penguins1458
Michael BrodzinskiPittsburgh Penguins
Michael KesselringPittsburgh Penguins14168
Nicolas BeaudinPittsburgh Penguins1432
Nikita PavlychevPittsburgh Penguins11180
Patrick HarperPittsburgh Penguins1269
Pavel JenysPittsburgh Penguins
Pavel ShenPittsburgh Penguins13181
Pavel ShenPittsburgh Penguins1496
Peter DiliberatorePittsburgh Penguins14131
Philip KempPittsburgh Penguins13143
Reilly WalshPittsburgh Penguins1376
Riley TuftePittsburgh Penguins1259
Ryan MacInnisPittsburgh Penguins
Sampo RantaPittsburgh Penguins1472
Spencer StastneyPittsburgh Penguins14140
Stanislav GalievPittsburgh Penguins
Steven SpinnerPittsburgh Penguins10165
Thomas NovakPittsburgh Penguins1171
Tim SoderlundPittsburgh Penguins1391
Tyler NannePittsburgh Penguins10168
Tyler WallPittsburgh Penguins12108
Vladislav GavrikovPittsburgh Penguins11165
Wouter PeetersPittsburgh Penguins12106
Yegor RykovPittsburgh Penguins1288

Choix au Repêchage

Année R1R2R3R4R5R6
15Pit Pit PHX Was Phi
16Chi Bos Pit Min Phi
17Pit Pit Pit Pit
18Pit Pit Pit Pit Pit
19Pit Pit Pit Pit Pit Pit



[2019-08-19 20:52:35] - Lukas Radil was added to Pittsburgh Penguins.
[2019-08-08 17:18:44] - TRADE : From Pittsburgh Penguins to Phoenix Coyotes : Y:17-RND:4-Pit.
[2019-08-08 10:52:23] - Ben Gleason was added to Pittsburgh Penguins.
[2019-08-07 07:49:28] - TRADE : From Pittsburgh Penguins to Chicago Blackhawks : Pavel Buchnevich (68).
[2019-08-07 07:49:28] - TRADE : From Chicago Blackhawks to Pittsburgh Penguins : Andreas Athanasiou (71).
[2019-08-05 19:23:26] - TRADE : From Pittsburgh Penguins to Winnipeg Jets : Y:15-RND:3-Ana.
[2019-08-05 19:22:31] - Karson Kuhlman was added to Pittsburgh Penguins.
[2019-08-02 12:40:59] - Penguins hired Sheldon Keefe for 1 200 000 $ for 4 year(s).
[2019-07-26 09:02:26] - Pittsburgh Penguins drafts David Tendeck as the #184 overall pick in the Entry Draft of year 14.
[2019-07-26 09:00:27] - Pittsburgh Penguins drafts Eetu Pakkila as the #170 overall pick in the Entry Draft of year 14.
[2019-07-26 09:00:12] - Pittsburgh Penguins drafts Michael Kesselring as the #168 overall pick in the Entry Draft of year 14.
[2019-07-24 16:29:01] - TRADE : From Pittsburgh Penguins to Vancouver Canucks : Y:15-RND:6-NYR, Y:15-RND:6-Dal.
[2019-07-24 16:29:01] - TRADE : From Vancouver Canucks to Pittsburgh Penguins : Y:14-RND:6-Chi.
[2019-07-16 09:09:56] - Pittsburgh Penguins drafts Dmitri Semykin as the #151 overall pick in the Entry Draft of year 14.
[2019-07-16 09:08:51] - Pittsburgh Penguins drafts Danila Zhuravlyov as the #144 overall pick in the Entry Draft of year 14.
[2019-07-16 09:08:43] - Pittsburgh Penguins drafts Jake Pivonka as the #143 overall pick in the Entry Draft of year 14.
[2019-07-16 09:07:43] - TRADE : From Pittsburgh Penguins to Winnipeg Jets : Y:15-RND:3-Col, Y:16-RND:3-Pit.
[2019-07-16 09:07:43] - TRADE : From Winnipeg Jets to Pittsburgh Penguins : Braydon Coburn (70), Y:14-RND:5-New, Y:14-RND:5-Buf, Y:14-RND:6-Wpg.
[2019-07-16 09:05:35] - TRADE : From Anaheim Ducks to Pittsburgh Penguins : Y:14-RND:5-Ana.
[2019-07-16 09:05:35] - TRADE : From Pittsburgh Penguins to Anaheim Ducks : Y:15-RND:5-Pit, Y:15-RND:6-Nas.
[2019-07-10 14:40:01] - Pittsburgh Penguins drafts Spencer Stastney as the #140 overall pick in the Entry Draft of year 14.
[2019-07-10 14:39:50] - Pittsburgh Penguins drafts Blade Jenkins as the #139 overall pick in the Entry Draft of year 14.
[2019-07-08 07:52:31] - Pittsburgh Penguins drafts John Leonard as the #132 overall pick in the Entry Draft of year 14.
[2019-07-08 07:52:25] - Pittsburgh Penguins drafts Peter Diliberatore as the #131 overall pick in the Entry Draft of year 14.
[2019-07-02 10:43:14] - TRADE : From Pittsburgh Penguins to Florida Panthers : Artem Anisimov (69).
[2019-07-02 10:43:14] - TRADE : From Florida Panthers to Pittsburgh Penguins : Y:15-RND:2-Was.
[2019-06-29 11:00:58] - TRADE : From Nashville Predators to Pittsburgh Penguins : Dylan Gambrell (60).
[2019-06-26 07:41:52] - TRADE : From Pittsburgh Penguins to Chicago Blackhawks : Alexander Wennberg (70).
[2019-06-26 07:41:52] - TRADE : From Chicago Blackhawks to Pittsburgh Penguins : Y:16-RND:1-Chi.
[2019-06-25 11:12:43] - TRADE : From Pittsburgh Penguins to Calgary Flames : Cal Foote (66).
[2019-06-25 11:11:57] - Pittsburgh Penguins drafts Pavel Shen as the #96 overall pick in the Entry Draft of year 14.
[2019-06-25 11:11:37] - TRADE : From Florida Panthers to Pittsburgh Penguins : Y:14-RND:4-Flo.
[2019-06-22 12:27:38] - TRADE : From Pittsburgh Penguins to Boston Bruins : Ondrej Palat (70), Y:16-RND:4-Bos, Y:16-RND:4-Pit.
[2019-06-22 12:27:38] - TRADE : From Boston Bruins to Pittsburgh Penguins : Y:14-RND:5-NYI, Y:14-RND:5-Phi, Y:14-RND:5-Tam, Y:16-RND:1-Bos.
[2019-06-22 09:12:30] - Anthony Angello was added to Pittsburgh Penguins.
[2019-06-20 16:44:11] - Cal Foote was added to Pittsburgh Penguins.
[2019-06-20 15:03:27] - Nick Schneider was added to Pittsburgh Penguins.
[2019-06-20 15:03:27] - Merrick Madsen was added to Pittsburgh Penguins.
[2019-06-20 15:03:27] - Rhett Gardner was added to Pittsburgh Penguins.
[2019-06-20 15:03:27] - Colton Point was added to Pittsburgh Penguins.
[2019-06-20 15:03:27] - Riley Stillman was added to Pittsburgh Penguins.
[2019-06-20 15:03:27] - Mikhail Berdin was added to Pittsburgh Penguins.
[2019-06-20 15:03:27] - Dylan Wells was added to Pittsburgh Penguins.
[2019-06-20 15:03:27] - Lucas Carlsson was added to Pittsburgh Penguins.
[2019-06-20 15:03:27] - Cliff Pu was added to Pittsburgh Penguins.
[2019-06-20 15:03:26] - Adam Mascherin was added to Pittsburgh Penguins.
[2019-06-20 15:03:26] - Lukas Jasek was added to Pittsburgh Penguins.
[2019-06-20 15:03:26] - Pierre Engvall was added to Pittsburgh Penguins.
[2019-06-20 15:03:26] - Shane Gersich was added to Pittsburgh Penguins.
[2019-06-20 15:03:26] - Michael Prapavessis was added to Pittsburgh Penguins.



[2019-09-13 15:07:17] Denis Gurianov from Penguins has scored a Hat Trick!
[2019-09-12 07:52:25] Last 7 Days Farm Star : 1 - Julien Gauthier of Griffins (5-6-11) / 2 - Warren Foegele of Penguins (5-5-10) / 3 - Kenny Agostino of Penguins (5-3-8)
[2019-09-12 07:52:22] Denis Gurianov from Penguins has scored a Hat Trick!
[2019-08-24 10:12:24] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-08-24 10:12:24] Lukas Radil of Pittsburgh Penguins was sent down to farm.
[2019-08-24 10:12:24] Karson Kuhlman of Pittsburgh Penguins was sent down to farm.
[2019-08-24 10:12:24] Dylan Gambrell of Pittsburgh Penguins was sent down to farm.
[2019-08-24 10:12:24] Ben Gleason of Pittsburgh Penguins was sent down to farm.
[2019-08-24 10:12:24] Jonas Siegenthaler of Pittsburgh Penguins was sent down to farm.
[2019-08-19 20:53:46] Penguins roster errors : Too many Goalie available in Farm Team! 7 Dressed. 2 Maximum. Too many Players available in Farm Team! 22 Dressed. Maximum is 20. Some errors will be automatically fixed.
[2019-08-19 20:53:46] Pittsburgh Penguins roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-08-19 20:52:35] Lukas Radil was added to Pittsburgh Penguins.
[2019-08-12 11:09:14] Penguins roster errors : Too many Goalie available in Farm Team! 7 Dressed. 2 Maximum. Too many Players available in Farm Team! 22 Dressed. Maximum is 20. Some errors will be automatically fixed.
[2019-08-12 11:09:14] Pittsburgh Penguins roster errors : Not enough Left Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-08-08 17:18:44] TRADE : From Pittsburgh Penguins to Phoenix Coyotes : Y:17-RND:4-Pit.
[2019-08-08 10:53:58] Penguins roster errors : Too many Goalie available in Farm Team! 7 Dressed. 2 Maximum. Too many Players available in Farm Team! 22 Dressed. Maximum is 20. Some errors will be automatically fixed.
[2019-08-08 10:53:58] Pittsburgh Penguins roster errors : Not enough Left Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-08-08 10:52:23] Ben Gleason was added to Pittsburgh Penguins.
[2019-08-07 07:49:28] TRADE : From Pittsburgh Penguins to Chicago Blackhawks : Pavel Buchnevich (68).
[2019-08-07 07:49:28] TRADE : From Chicago Blackhawks to Pittsburgh Penguins : Andreas Athanasiou (71).
[2019-08-05 19:23:49] Penguins roster errors : Too many Goalie available in Farm Team! 7 Dressed. 2 Maximum. Too many Players available in Farm Team! 22 Dressed. Maximum is 20. Some errors will be automatically fixed.
[2019-08-05 19:23:49] Pittsburgh Penguins roster errors : Not enough Left Wings available in Pro Team! 1 Dressed. 3 Required. Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-08-05 19:23:26] TRADE : From Pittsburgh Penguins to Winnipeg Jets : Y:15-RND:3-Ana.
[2019-08-05 19:22:31] Karson Kuhlman was added to Pittsburgh Penguins.
[2019-08-05 19:22:11] Penguins roster errors : Too many Goalie available in Farm Team! 7 Dressed. 2 Maximum. Too many Players available in Farm Team! 22 Dressed. Maximum is 20. Some errors will be automatically fixed.
[2019-08-05 19:22:11] Pittsburgh Penguins roster errors : Not enough Left Wings available in Pro Team! 1 Dressed. 3 Required. Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-08-02 12:40:59] Penguins hired Sheldon Keefe for 1 200 000 $ for 4 year(s).
[2019-07-31 03:26:42] Penguins roster errors : Too many Goalie available in Farm Team! 7 Dressed. 2 Maximum. Too many Players available in Farm Team! 22 Dressed. Maximum is 20. Some errors will be automatically fixed.
[2019-07-31 03:26:42] Pittsburgh Penguins roster errors : Not enough Left Wings available in Pro Team! 1 Dressed. 3 Required. Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-30 14:45:54] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-07-30 14:45:54] Nick Schneider of Pittsburgh Penguins was sent to farm.
[2019-07-30 14:45:54] Mikhail Berdin of Pittsburgh Penguins was sent to farm.
[2019-07-30 14:45:54] Merrick Madsen of Pittsburgh Penguins was sent to farm.
[2019-07-30 14:45:54] Dylan Wells of Pittsburgh Penguins was sent to farm.
[2019-07-30 14:45:54] Colton Point of Pittsburgh Penguins was sent to farm.
[2019-07-30 14:45:54] Shane Gersich of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Riley Stillman of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Rhett Gardner of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Pierre Engvall of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Michael Prapavessis of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Lukas Jasek of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Lucas Carlsson of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Kristian Vesalainen of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Cliff Pu of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Anthony Angello of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Jonas Siegenthaler of Pittsburgh Penguins was sent to pro.
[2019-07-30 14:45:54] Josh Archibald of Pittsburgh Penguins was sent to pro.
[2019-07-30 14:45:54] Oskar Sundqvist of Pittsburgh Penguins was sent to pro.
[2019-07-30 14:45:54] Adam Mascherin of Pittsburgh Penguins was sent down to farm.
[2019-07-30 14:45:54] Marcus Sorensen of Pittsburgh Penguins was sent to pro.



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