Pittsburgh Penguins

GP: 60 | W: 32 | L: 27 | OTL: 1 | P: 65
GF: 194 | GA: 165 | PP%: 19.69% | PK%: 80.62%
DG: Maxime Roy | Morale : 58 | Moyenne d'Équipe : 80
Prochain matchs #936 vs San Jose Sharks
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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 KucherovX99.00755588988897959950979587558585175870
2Vincent TrocheckX99.00975584948088929692919092558076155840
3Johnny GaudreauX99.00605599987590909950978582558280155830
4Ryan JohansenXX100.00775582959090959497907590558181159820
5Derick BrassardX100.00885589849393898785828385558584173810
6Cam AtkinsonXX99.00715589878686928760808787558484173800
7Ondrej PalatX100.00975584918989968758867581558380180800
8Alexander WennbergX100.00685589918282909079847083557877173780
9Alexander Kerfoot (R)X100.00785580927483888672808077557474160770
10Danton HeinenXX100.00745583897782888663847679557474169770
11Antoine VermetteX100.00735583819090867799666995559290129760
12Joonas DonskoiXX100.00655577797680808561787576557070173730
13Ryan SuterX99.00815590949599999625926699559295163880
14Jared SpurgeonX99.00805598948296979425887297558381168850
15Colton ParaykoX100.00875598919192899325846696558179153840
16Michael MathesonX100.00755579878689899025737095558582167810
17Ben HuttonX100.00755586838283887325646089557773175760
18Vince DunnX100.00725591655981678925776592557474173730
Rayé
1Denis MalginXXX100.00805578797275758062707677557070139710
2Chris WagnerX100.00995578737770757482656781557789172710
MOYENNE D'ÉQUIPE99.7079558687828788885881758755808016479
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 Quick97.0094959692959394929291559194151910
2Alex Stalock100.0076868885867578807582557570168780
Rayé
MOYENNE D'ÉQUIPE98.508591928991848686848755838216085
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peters79787689786264CAN535100,000$


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
1Nikita KucherovPittsburgh PenguinsRW6029275613010421202137815913.62%12146724.471012224523011282413239.44%14200210.7600002541
2Ryan SuterPittsburgh PenguinsD6084755134801139180347110.00%91154225.7151318542301011183100.00%000000.7100000342
3Johnny GaudreauPittsburgh PenguinsLW522133543002811424212114.79%3105320.2661218442020000112037.84%22200001.0300000322
4Ryan JohansenPittsburgh PenguinsC/RW57173653232409111517246869.88%9116820.50178331510221544055.60%50000100.9100000242
5Vincent TrocheckPittsburgh PenguinsC5116334966410187154189621708.47%19121823.90413175019502241824351.69%174700000.8000101526
6Jared SpurgeonPittsburgh PenguinsD611727440535119113117337414.53%100155025.429514712180000175210.00%000000.5700001333
7Cam AtkinsonPittsburgh PenguinsLW/RW602122431912022731925913210.94%14117319.5665115420501141173150.00%8200100.7300000234
8Derick BrassardPittsburgh PenguinsC601025352128092129137471027.30%7110318.393912361790111813053.29%138100000.6300000214
9Ondrej PalatPittsburgh PenguinsLW60111829244715987411835789.32%378213.0500000000132040.00%5500000.7400201220
10Colton ParaykoPittsburgh PenguinsD606222876201227210423595.77%82135722.625611621860111138000.00%000000.4100000221
11Vince DunnPittsburgh PenguinsD609182720220543973154712.33%46108418.076612481871011152110.00%000000.5000000101
12Antoine VermettePittsburgh PenguinsC6181725-21002010811535906.96%571211.670117141011372157.43%78700000.7001000021
13Danton HeinenPittsburgh PenguinsC/LW6011142503820475774206214.86%574912.49246121110000105038.74%11100000.6700022012
14Alexander KerfootPittsburgh PenguinsRW60111122-73156050108268610.19%775112.5212317113000000146.00%5000000.5900010220
15Alexander WennbergPittsburgh PenguinsC60101222-780238774194613.51%265110.8501108000001045.65%78200000.6800000021
16Ben HuttonPittsburgh PenguinsD6071320163810762227102225.93%4678913.16000112000043200.00%000000.5100002001
17Michael MathesonPittsburgh PenguinsD6061319-10501072476723398.96%64111518.5901116480001160200.00%000000.3400020020
18Joonas DonskoiPittsburgh PenguinsLW/RW602793401115333326.06%23355.5900000000010040.00%1500000.5400000010
19Denis MalginPittsburgh PenguinsC/LW/RW33134-71753612204195.00%335010.620003340001260147.37%7600000.2300100000
20Chris WagnerPittsburgh PenguinsC1011100020010.00%088.4800000000000050.00%800002.3600000000
Stats d'équipe Total ou en Moyenne109622139962012458690128714612055614149610.75%5201896617.30589715555323304812251622371151.04%595800410.6501459323731
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 Penguins57312410.9042.6632762214515170120.0000564215
2Alex StalockPittsburgh Penguins81300.8973.3132600181740000.0000456000
Stats d'équipe Total ou en Moyenne65322710.9042.7136032216316910120.00006060215


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 PenguinsG291987-07-27No190 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Alexander KerfootPittsburgh PenguinsRW221994-08-11Yes174 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$77,966$No
Alexander WennbergPittsburgh PenguinsC221994-09-21No190 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Antoine VermettePittsburgh PenguinsC341982-07-19No198 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Ben HuttonPittsburgh PenguinsD231993-04-20No183 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$300,000$77,966$No
Cam AtkinsonPittsburgh PenguinsLW/RW271989-06-05No174 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Chris WagnerPittsburgh PenguinsC251991-05-27No202 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$77,966$No
Colton ParaykoPittsburgh PenguinsD231993-05-12No214 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$300,000$77,966$No
Danton HeinenPittsburgh PenguinsC/LW211995-07-05No185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$129,944$No
Denis MalginPittsburgh PenguinsC/LW/RW191997-01-18No163 Lbs5 ft8NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$129,944$No
Derick BrassardPittsburgh PenguinsC291987-09-22No202 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Jared SpurgeonPittsburgh PenguinsD271989-11-29No176 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Johnny GaudreauPittsburgh PenguinsLW231993-08-13No150 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm500,000$500,000$129,944$No
Jonathan QuickPittsburgh PenguinsG301986-01-21No220 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm6,500,000$6,500,000$1,689,266$No
Joonas DonskoiPittsburgh PenguinsLW/RW241992-04-13No180 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$300,000$77,966$No
Michael MathesonPittsburgh PenguinsD221994-02-17No192 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm925,000$925,000$240,395$No
Nikita KucherovPittsburgh PenguinsRW231993-06-16No184 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Ondrej PalatPittsburgh PenguinsLW251991-03-27No190 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Ryan JohansenPittsburgh PenguinsC/RW241992-07-30No223 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Ryan SuterPittsburgh PenguinsD311985-01-20No200 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Vince DunnPittsburgh PenguinsD201996-10-29No187 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$129,944$No
Vincent TrocheckPittsburgh PenguinsC231993-07-10No182 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2224.82189 Lbs6 ft02.092,242,045$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,325,000$34,400,000$18,800,000$8,800,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauVincent TrocheckNikita Kucherov40113
2Cam AtkinsonDerick BrassardRyan Johansen30113
3Ondrej PalatAlexander WennbergAlexander Kerfoot22113
4Danton HeinenAntoine VermetteJoonas Donskoi8122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon40131
2Colton ParaykoVince Dunn30131
3Ben HuttonMichael Matheson20131
4Ryan SuterJared Spurgeon10131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauVincent TrocheckNikita Kucherov60005
2Cam AtkinsonRyan JohansenDanton Heinen40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60113
2Michael MathesonVince Dunn40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Vincent TrocheckNikita Kucherov60131
2Ryan JohansenCam Atkinson40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60140
2Vince DunnMichael Matheson40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Vincent Trocheck60131Ryan SuterJared Spurgeon60140
2Ryan Johansen40131Vince DunnMichael Matheson40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Vincent TrocheckNikita Kucherov60122
2Ryan JohansenCam Atkinson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60131
2Ben HuttonMichael Matheson40131
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johnny GaudreauVincent TrocheckNikita KucherovRyan SuterJared Spurgeon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ondrej PalatVincent TrocheckCam AtkinsonRyan SuterJared Spurgeon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nikita Kucherov, Derick Brassard, Cam AtkinsonDanton Heinen, Nikita KucherovNikita Kucherov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ben Hutton, Vince Dunn, Michael MathesonBen HuttonVince Dunn, Michael Matheson
Tirs de Pénalité
Nikita Kucherov, Ryan Johansen, Danton Heinen, Derick Brassard, Cam Atkinson
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
1Anaheim Ducks21001000936100010003211100000061541.000917260024216923212325924212711218.18%8275.00%01044210149.69%1013210348.17%45293148.55%523845142412
2Boston Bruins210001007611000010023-11100000053230.7507121900304054191618148161456500.00%7271.43%01044210149.69%1013210348.17%45293148.55%473348152612
3Buffalo Sabres1010000024-21010000024-20000000000000.00024600011031810130299623600.00%3166.67%01044210149.69%1013210348.17%45293148.55%2618226116
4Calgary Flames2020000068-21010000034-11010000034-100.00061016004020642522170681427476116.67%10280.00%01044210149.69%1013210348.17%45293148.55%503444142412
5Carolina Hurricanes20200000510-51010000013-21010000047-300.0005101510500055308170561912498112.50%6266.67%01044210149.69%1013210348.17%45293148.55%463146142713
6Chicago Blackhawks22000000927110000005141100000041341.000916250042307524193204427163914535.71%80100.00%01044210149.69%1013210348.17%45293148.55%523742142512
7Colorado Avalanche220000001376110000007431100000063341.0001324370035505518181905314264012433.33%8362.50%11044210149.69%1013210348.17%45293148.55%483445142513
8Columbus Blue Jackets1010000024-21010000024-20000000000000.00024600002029911903971016700.00%5180.00%01044210149.69%1013210348.17%45293148.55%2215257126
9Dallas Stars1010000035-21010000035-20000000000000.00036900021021610504174263266.67%2150.00%01044210149.69%1013210348.17%45293148.55%2215246126
10Detroit Red Wings11000000211110000002110000000000021.00024600011024591001910619100.00%20100.00%01044210149.69%1013210348.17%45293148.55%2418226126
11Edmonton Oilers21100000660110000005231010000014-320.5006101600222068252122069142343700.00%9277.78%01044210149.69%1013210348.17%45293148.55%483447142411
12Florida Panthers22000000743110000005321100000021141.00071421003130521911220479172410110.00%6266.67%01044210149.69%1013210348.17%45293148.55%523742132413
13Los Angeles Kings211000008531010000034-11100000051420.500814220021507526262304516224010440.00%50100.00%01044210149.69%1013210348.17%45293148.55%513643142512
14Minnesota Wild20200000410-61010000025-31010000025-300.0004711002110602018220611217339111.11%6350.00%01044210149.69%1013210348.17%45293148.55%544042142311
15Montreal Canadiens21100000752110000006241010000013-220.5007132000304066211926045121931900.00%7185.71%01044210149.69%1013210348.17%45293148.55%513643142512
16New Jersey Devils4220000089-1220000004132020000048-440.5008152301152011334374201093948869111.11%17476.47%01044210149.69%1013210348.17%45293148.55%1017288264925
17New York Islanders440000001468220000007342200000073481.000142741002660138365250010327358424729.17%14192.86%01044210149.69%1013210348.17%45293148.55%986789315125
18New York Rangers21100000761110000005141010000025-320.500714210041206517272105114183610110.00%9277.78%01044210149.69%1013210348.17%45293148.55%473347152412
19Ottawa Senators320010001257110000004222100100083561.0001222340113717618262849425247015320.00%12191.67%01044210149.69%1013210348.17%45293148.55%785468233719
20Philadelphia Flyers22000000734110000005231100000021141.00071118004210652813240511815423133.33%4175.00%01044210149.69%1013210348.17%45293148.55%443049142512
21Phoenix Coyotes211000006601010000024-21100000042220.50061016003030723318210632112428112.50%6350.00%01044210149.69%1013210348.17%45293148.55%463248142412
22San Jose Sharks11000000514000000000001100000051421.0005101500032029713903168193266.67%40100.00%01044210149.69%1013210348.17%45293148.55%2316247125
23St. Louis Blues1010000013-2000000000001010000013-200.000123000010176560379821200.00%4175.00%01044210149.69%1013210348.17%45293148.55%2114266116
24Tampa Bay Lightning312000001012-22020000059-41100000053220.3331018281062209530323307223245611218.18%11281.82%11044210149.69%1013210348.17%45293148.55%765466213619
25Toronto Maple Leafs32100000963110000003122110000065140.6679162500423011537384009231348016425.00%17288.24%01044210149.69%1013210348.17%45293148.55%815862213618
Total60302702100194165293016120110010381223014150100091847650.54219436055422705171218116105716237169348956412362595119.69%2274480.62%31044210149.69%1013210348.17%45293148.55%148710431370438751378
27Vancouver Canucks2020000057-21010000034-11010000023-100.000510150040104715239068142843400.00%90100.00%01044210149.69%1013210348.17%45293148.55%402552152712
28Vegas Golden Knights21100000862110000005231010000034-120.50081624004130512311170571118379444.44%8187.50%01044210149.69%1013210348.17%45293148.55%513643142412
29Washington Capitals3120000011101110000008352020000037-420.3331122330036207827242709926295414428.57%11281.82%11044210149.69%1013210348.17%45293148.55%745267223818
30Winnipeg Jets2020000015-41010000012-11010000003-300.000123001000522113180431523531300.00%9277.78%01044210149.69%1013210348.17%45293148.55%483146152513
_Since Last GM Reset60302702100194165293016120110010381223014150100091847650.54219436055422705171218116105716237169348956412362595119.69%2274480.62%31044210149.69%1013210348.17%45293148.55%148710431370438751378
_Vs Conference352013011001109119181250010061421917880100049490430.614110206316223930401105633833338059542853117261482516.89%1312481.68%21044210149.69%1013210348.17%45293148.55%875613791255440221
_Vs Division18108000005448697200000321715936000002231-9200.556541031571119201505431811721900508150167367751520.00%661380.30%11044210149.69%1013210348.17%45293148.55%436302414132229114

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6065L119436055418111693489564123622
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6030272100194165
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
301612110010381
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
30141510009184
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2595119.69%2274480.62%3
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
61057162377051712
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
1044210149.69%1013210348.17%45293148.55%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
148710431370438751378


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 - 2018-09-0612Washington Capitals3Pittsburgh Penguins8WSommaire du Match
4 - 2018-09-0825Montreal Canadiens2Pittsburgh Penguins6WSommaire du Match
9 - 2018-09-1354Vegas Golden Knights2Pittsburgh Penguins5WSommaire du Match
10 - 2018-09-1464Pittsburgh Penguins1Montreal Canadiens3LSommaire du Match
13 - 2018-09-1782Vancouver Canucks4Pittsburgh Penguins3LSommaire du Match
15 - 2018-09-1997Pittsburgh Penguins2Toronto Maple Leafs3LSommaire du Match
20 - 2018-09-24125Pittsburgh Penguins1Edmonton Oilers4LSommaire du Match
22 - 2018-09-26137Pittsburgh Penguins3Calgary Flames4LSommaire du Match
24 - 2018-09-28158Pittsburgh Penguins2Vancouver Canucks3LSommaire du Match
27 - 2018-10-01175New York Islanders1Pittsburgh Penguins3WSommaire du Match
29 - 2018-10-03186Pittsburgh Penguins3New York Islanders1WSommaire du Match
31 - 2018-10-05202Toronto Maple Leafs1Pittsburgh Penguins3WSommaire du Match
33 - 2018-10-07213New Jersey Devils1Pittsburgh Penguins2WSommaire du Match
35 - 2018-10-09226Pittsburgh Penguins2Washington Capitals4LSommaire du Match
38 - 2018-10-12251Phoenix Coyotes4Pittsburgh Penguins2LSommaire du Match
41 - 2018-10-15269Pittsburgh Penguins2New Jersey Devils4LSommaire du Match
43 - 2018-10-17284Tampa Bay Lightning4Pittsburgh Penguins2LSommaire du Match
45 - 2018-10-19299Pittsburgh Penguins4Ottawa Senators3WXSommaire du Match
47 - 2018-10-21313Buffalo Sabres4Pittsburgh Penguins2LSommaire du Match
49 - 2018-10-23329Dallas Stars5Pittsburgh Penguins3LSommaire du Match
50 - 2018-10-24334Pittsburgh Penguins5Boston Bruins3WSommaire du Match
51 - 2018-10-25354Columbus Blue Jackets4Pittsburgh Penguins2LSommaire du Match
54 - 2018-10-28376Pittsburgh Penguins0Winnipeg Jets3LSommaire du Match
55 - 2018-10-29378Pittsburgh Penguins6Colorado Avalanche3WSommaire du Match
58 - 2018-11-01405Philadelphia Flyers2Pittsburgh Penguins5WSommaire du Match
61 - 2018-11-04423Colorado Avalanche4Pittsburgh Penguins7WSommaire du Match
63 - 2018-11-06435New York Islanders2Pittsburgh Penguins4WSommaire du Match
65 - 2018-11-08452Pittsburgh Penguins4Ottawa Senators0WSommaire du Match
67 - 2018-11-10462Pittsburgh Penguins4New York Islanders2WSommaire du Match
69 - 2018-11-12477Pittsburgh Penguins4Chicago Blackhawks1WSommaire du Match
71 - 2018-11-14493Boston Bruins3Pittsburgh Penguins2LXSommaire du Match
72 - 2018-11-15502Los Angeles Kings4Pittsburgh Penguins3LSommaire du Match
74 - 2018-11-17516Anaheim Ducks2Pittsburgh Penguins3WXSommaire du Match
76 - 2018-11-19529Pittsburgh Penguins1Washington Capitals3LSommaire du Match
77 - 2018-11-20537Minnesota Wild5Pittsburgh Penguins2LSommaire du Match
79 - 2018-11-22548Pittsburgh Penguins4Carolina Hurricanes7LSommaire du Match
81 - 2018-11-24573Detroit Red Wings1Pittsburgh Penguins2WSommaire du Match
83 - 2018-11-26594Pittsburgh Penguins1St. Louis Blues3LSommaire du Match
85 - 2018-11-28608Pittsburgh Penguins2Minnesota Wild5LSommaire du Match
87 - 2018-11-30619Pittsburgh Penguins2New York Rangers5LSommaire du Match
89 - 2018-12-02635Winnipeg Jets2Pittsburgh Penguins1LSommaire du Match
91 - 2018-12-04649Chicago Blackhawks1Pittsburgh Penguins5WSommaire du Match
93 - 2018-12-06661Florida Panthers3Pittsburgh Penguins5WSommaire du Match
96 - 2018-12-09683Pittsburgh Penguins6Anaheim Ducks1WSommaire du Match
97 - 2018-12-10691Pittsburgh Penguins5Los Angeles Kings1WSommaire du Match
100 - 2018-12-13719Pittsburgh Penguins5San Jose Sharks1WSommaire du Match
103 - 2018-12-16733Pittsburgh Penguins4Phoenix Coyotes2WSommaire du Match
104 - 2018-12-17750Pittsburgh Penguins3Vegas Golden Knights4LSommaire du Match
109 - 2018-12-22772New Jersey Devils0Pittsburgh Penguins2WSommaire du Match
111 - 2018-12-24777Tampa Bay Lightning5Pittsburgh Penguins3LSommaire du Match
113 - 2018-12-26787Ottawa Senators2Pittsburgh Penguins4WSommaire du Match
114 - 2018-12-27800Pittsburgh Penguins4Toronto Maple Leafs2WSommaire du Match
117 - 2018-12-30817Carolina Hurricanes3Pittsburgh Penguins1LSommaire du Match
119 - 2019-01-01828Pittsburgh Penguins2Florida Panthers1WSommaire du Match
121 - 2019-01-03848Pittsburgh Penguins5Tampa Bay Lightning3WSommaire du Match
123 - 2019-01-05860Pittsburgh Penguins2Philadelphia Flyers1WSommaire du Match
125 - 2019-01-07876Edmonton Oilers2Pittsburgh Penguins5WSommaire du Match
128 - 2019-01-10899Calgary Flames4Pittsburgh Penguins3LSommaire du Match
129 - 2019-01-11909New York Rangers1Pittsburgh Penguins5WSommaire du Match
131 - 2019-01-13922Pittsburgh Penguins2New Jersey Devils4LSommaire du Match
133 - 2019-01-15936San Jose Sharks-Pittsburgh Penguins-
135 - 2019-01-17952Pittsburgh Penguins-Philadelphia Flyers-
138 - 2019-01-20971Pittsburgh Penguins-Columbus Blue Jackets-
141 - 2019-01-23992Pittsburgh Penguins-Buffalo Sabres-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-241005Pittsburgh Penguins-Montreal Canadiens-
145 - 2019-01-271027Florida Panthers-Pittsburgh Penguins-
147 - 2019-01-291041Columbus Blue Jackets-Pittsburgh Penguins-
149 - 2019-01-311050Pittsburgh Penguins-Columbus Blue Jackets-
150 - 2019-02-011063Boston Bruins-Pittsburgh Penguins-
152 - 2019-02-031077Washington Capitals-Pittsburgh Penguins-
154 - 2019-02-051084Pittsburgh Penguins-Buffalo Sabres-
156 - 2019-02-071107St. Louis Blues-Pittsburgh Penguins-
157 - 2019-02-081116Philadelphia Flyers-Pittsburgh Penguins-
159 - 2019-02-101122Pittsburgh Penguins-Carolina Hurricanes-
161 - 2019-02-121145Pittsburgh Penguins-Nashville Predators-
163 - 2019-02-141152Pittsburgh Penguins-Dallas Stars-
165 - 2019-02-161172Pittsburgh Penguins-New York Rangers-
169 - 2019-02-201201Nashville Predators-Pittsburgh Penguins-
171 - 2019-02-221219Carolina Hurricanes-Pittsburgh Penguins-
173 - 2019-02-241234Pittsburgh Penguins-Detroit Red Wings-
175 - 2019-02-261249Detroit Red Wings-Pittsburgh Penguins-
177 - 2019-02-281268New York Rangers-Pittsburgh Penguins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance168,884143,96757,222113,63128,274
Attendance PCT93.82%95.98%95.37%94.69%94.25%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
11 17066 - 94.81% 1,063,698$31,910,948$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
32,347,681$ 49,325,000$ 25,958,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,325,000$ 32,271,971$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
11,700,681$ 46 279,237$ 12,844,902$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
12,942,300$ 49,325,000$ 132,550,697$ 131,309,078$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Johnny GaudreauAGE:23PO:1OV:83
Cam AtkinsonAGE:27PO:1OV:80
Ondrej PalatAGE:25PO:1OV:80
Danton HeinenAGE:21PO:1OV:77
Joonas DonskoiAGE:24PO:1OV:73
Robby FabbriAGE:20PO:1OV:72
Denis MalginAGE:19PO:1OV:71
Valentin ZykovAGE:21PO:1OV:65
Denis GurianovAGE:19PO:1OV:63
William CarrierAGE:22PO:1OV:63
Blake PietilaAGE:23PO:1OV:61
Andrew MangiapaneAGE:20PO:1OV:61
Brendan LemieuxAGE:20PO:1OV:61
Kenny AgostinoAGE:24PO:1OV:60
*Warren FoegeleAGE:20PO:1OV:58
*Paul BittnerAGE:20PO:1OV:52
Vincent TrocheckAGE:23PO:1OV:84
Ryan JohansenAGE:24PO:1OV:82
Derick BrassardAGE:29PO:1OV:81
Alexander WennbergAGE:22PO:1OV:78
Danton HeinenAGE:21PO:1OV:77
Antoine VermetteAGE:34PO:1OV:76
Robby FabbriAGE:20PO:1OV:72
Denis MalginAGE:19PO:1OV:71
Chris WagnerAGE:25PO:1OV:71
Nic PetanAGE:21PO:1OV:63
Jonny BrodzinskiAGE:23PO:1OV:62
Matthew PecaAGE:23PO:1OV:61
Ryan MacInnisAGE:20PO:1OV:56
*Aleksi SaarelaAGE:20PO:1OV:55
*Adam MusilAGE:19PO:1OV:55
*Pavel JenysAGE:20PO:1OV:54
*Rourke ChartierAGE:20PO:1OV:52
Nikita KucherovAGE:23PO:1OV:87
Ryan JohansenAGE:24PO:1OV:82
Cam AtkinsonAGE:27PO:1OV:80
*Alexander KerfootAGE:22PO:1OV:77
Joonas DonskoiAGE:24PO:1OV:73
Denis MalginAGE:19PO:1OV:71
Josh ArchibaldAGE:24PO:1OV:65
Marcus SorensenAGE:24PO:1OV:64
Oskar SundqvistAGE:22PO:1OV:63
*Nicolas Aube-KubelAGE:20PO:1OV:56
Stanislav GalievAGE:24PO:1OV:52

Défense #1Défense #2Gardien
Ryan SuterAGE:31PO:1OV:88
Jared SpurgeonAGE:27PO:1OV:85
Colton ParaykoAGE:23PO:1OV:84
Michael MathesonAGE:22PO:1OV:81
Ben HuttonAGE:23PO:1OV:76
Vince DunnAGE:20PO:1OV:73
Connor CarrickAGE:22PO:1OV:71
Ian McCoshenAGE:21PO:1OV:66
*Brendan GuhleAGE:19PO:1OV:66
Kurtis MacDermidAGE:22PO:1OV:64
Jamie McBainAGE:28PO:1OV:57
Tommy CrossAGE:27PO:1OV:56
Jordan SubbanAGE:21PO:1OV:55
*Connor HobbsAGE:20PO:1OV:55
*Darren RaddyshAGE:20PO:1OV:55
*Luc SnuggerudAGE:21PO:1OV:54
*Jack DoughertyAGE:20PO:1OV:54
*Sergei BoikovAGE:20PO:1OV:54
*Jake WalmanAGE:20PO:1OV:54
*Jeff TaylorAGE:22PO:1OV:54
Dillon SimpsonAGE:23PO:1OV:54
*Jonas SiegenthalerAGE:19PO:1OV:53
*Michael BrodzinskiAGE:21PO:1OV:53
Jonathan QuickAGE:30PO:1OV:91
Alex StalockAGE:29PO:1OV:78
Ken ApplebyAGE:21PO:1OV:66
Brandon HalversonAGE:20PO:1OV:63
Alex NedeljkovicAGE:21PO:1OV:62
*Zachary FucaleAGE:21PO:1OV:61

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 MascherinPittsburgh Penguins1230
Adam RuzickaPittsburgh Penguins1383
Andrew PeekePittsburgh Penguins1283
Anthony AngeloPittsburgh Penguins10166
Cliff PuPittsburgh Penguins1260
Cole GuttmanPittsburgh Penguins13179
Colton PointPittsburgh Penguins129
Conner HurleyPittsburgh Penguins981
David CottonPittsburgh Penguins11146
Dmitri SamorukovPittsburgh Penguins1382
Dylan WellsPittsburgh Penguins1299
Eetu TuulolaPittsburgh Penguins12158
Elvis MerzilikinsPittsburgh Penguins
Gilles SennPittsburgh Penguins13170
Grant MismashPittsburgh Penguins1375
John PiccinichPittsburgh Penguins10138
Joshua EssPittsburgh Penguins13163
Kasper KotkansaloPittsburgh Penguins13139
Kirill MaksimovPittsburgh Penguins1379
Kristian VesalainenPittsburgh Penguins1322
Linus LindstromPittsburgh Penguins12164
Lucas CarlssonPittsburgh Penguins1281
Lukas JasekPittsburgh Penguins11167
Merrick MadsenPittsburgh Penguins9172
Michael PrapavessisPittsburgh Penguins10119
Mikhail BerdinPittsburgh Penguins12107
Nick SchneiderPittsburgh Penguins
Nikita PavlychevPittsburgh Penguins11180
Patrick HarperPittsburgh Penguins1269
Pavel ShenPittsburgh Penguins13181
Philip KempPittsburgh Penguins13143
Pierre EngvallPittsburgh Penguins10141
Reilly WalshPittsburgh Penguins1376
Rhett GardnerPittsburgh Penguins12165
Riley StillmanPittsburgh Penguins12126
Riley TuftePittsburgh Penguins1259
Shane GersichPittsburgh Penguins10133
Steven SpinnerPittsburgh Penguins10165
Thomas NovakPittsburgh Penguins1171
Tim SoderlundPittsburgh Penguins1391
Tyler NannePittsburgh Penguins10168
Tyler WallPittsburgh Penguins12108
Vladislav GavrikovPittsburgh Penguins11165
Wouter PeetersPittsburgh Penguins12106
Yegor RykovPittsburgh Penguins1288
Zach GallantPittsburgh Penguins13173

Choix au Repêchage

Année R1R2R3R4R5R6
14Pit Pit NYI Tor Nas Cal Flo Chi
15Pit Pit PHX Ana Phi Pit Bos NYR Dal Nas
16Pit Pit Pit Min Phi
17Pit Pit Pit Pit Pit
18Pit Pit Pit Pit Pit



[2019-02-01 08:58:24] - TRADE : From Florida Panthers to Pittsburgh Penguins : Ryan Johansen (82), Pavel Shen (P).
[2019-02-01 08:58:24] - TRADE : From Pittsburgh Penguins to Florida Panthers : Frank Vatrano (68), Haydn Fleury (72), Alexander Nylander (64), Y:15-RND:3-Pit.
[2019-01-19 11:35:45] - TRADE : From Pittsburgh Penguins to Toronto Maple Leafs : Joel Eriksson Ek (70).
[2019-01-19 11:35:45] - TRADE : From Toronto Maple Leafs to Pittsburgh Penguins : Y:14-RND:2-Tor.
[2019-01-18 19:25:41] - TRADE : From Pittsburgh Penguins to Vegas Golden Knights : Y:18-RND:6-Pit.
[2019-01-18 19:25:41] - TRADE : From Vegas Golden Knights to Pittsburgh Penguins : Antoine Vermette (76).
[2019-01-18 19:25:01] - TRADE : From Pittsburgh Penguins to Dallas Stars : Mike Cammalleri (71).
[2019-01-18 19:25:01] - TRADE : From Dallas Stars to Pittsburgh Penguins : Y:15-RND:6-Dal, Y:15-RND:6-Nas.
[2019-01-17 17:53:25] - TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:15-RND:5-Phi, Y:16-RND:5-Phi.
[2019-01-17 17:53:25] - TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Tom Pyatt (71), Y:17-RND:6-Pit.
[2018-12-27 19:36:52] - TRADE : From Pittsburgh Penguins to Chicago Blackhawks : Olli Maatta (80), Oliver Bjorkstrand (74).
[2018-12-27 19:36:52] - TRADE : From Chicago Blackhawks to Pittsburgh Penguins : Jared Spurgeon (85), Y:14-RND:5-Chi.
[2018-10-08 12:11:15] - TRADE : From Pittsburgh Penguins to Florida Panthers : Steven Kampfer.
[2018-10-08 12:11:15] - TRADE : From Florida Panthers to Pittsburgh Penguins : Y:15-RND:5-Bos.
[2018-10-04 17:13:26] - New Record for Team's Most Points (24) in 1 Game for Pittsburgh Penguins!
[2018-10-04 17:13:26] - New Record for Team's Most Assists (16) in 1 Game for Pittsburgh Penguins!
[2018-09-29 10:52:43] - Team Name Change : Wilkes-Barre Penguins changed name to Penguins
[2018-09-24 15:57:38] - TRADE : From Pittsburgh Penguins to New York Rangers : Avery Peterson (P), Shane Eiserman (P), Y:15-RND:4-Bos, Y:16-RND:5-Pit.
[2018-09-24 15:57:38] - TRADE : From New York Rangers to Pittsburgh Penguins : Tom Pyatt, Mike Cammalleri.
[2018-09-10 12:57:44] - Dylan Gambrell has been deleted from Pittsburgh Penguins.
[2018-09-03 18:02:38] - Darren Raddysh was added to Pittsburgh Penguins.
[2018-09-03 18:01:40] - TRADE : From Pittsburgh Penguins to Dallas Stars : Christopher Tanev, Nick Lappin.
[2018-09-03 18:01:40] - TRADE : From Dallas Stars to Pittsburgh Penguins : Joonas Donskoi, Yegor Rykov (P), Elvis Merzilikins (P).
[2018-09-03 12:40:10] - TRADE : From Nashville Predators to Pittsburgh Penguins : Sergei Boikov.
[2018-09-03 12:40:10] - TRADE : From Pittsburgh Penguins to Nashville Predators : Marek Hrivik, Danny Kristo, Sam Kurker.



[2019-02-13 09:49:10] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-02-12 08:56:26] Antoine Vermette from Pittsburgh Penguins is back from Right Knee Injury.
[2019-02-12 08:56:25] Game 899 - Antoine Vermette from Pittsburgh Penguins is injured (Right Knee) and is out for 3 days.
[2019-02-12 08:55:45] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-02-10 10:44:03] Last 7 Days Pro Star : 1 - Vincent Trocheck of Pittsburgh Penguins (3-4-7) / 2 - Andre Burakovsky of Toronto Maple Leafs (4-3-7) / 3 - Aaron Ekblad of Washington Capitals (2-3-5)
[2019-02-09 10:19:21] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-02-07 10:16:53] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.4.4
[2019-02-06 09:12:53] Auto Lines Partial Function has been run for Penguins.
[2019-02-06 09:12:53] Auto Roster Farm Only Function has been run for Pittsburgh Penguins.
[2019-02-05 09:01:34] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-02-03 22:03:56] Ryan Suter from Pittsburgh Penguins is back from Left Foot Injury.
[2019-02-03 22:03:55] Game 828 - Ryan Suter from Pittsburgh Penguins is injured (Left Foot) and is out for 3 days.
[2019-02-02 19:15:56] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-02-01 08:58:24] TRADE : From Florida Panthers to Pittsburgh Penguins : Ryan Johansen (82), Pavel Shen (P).
[2019-02-01 08:58:24] TRADE : From Pittsburgh Penguins to Florida Panthers : Frank Vatrano (68), Haydn Fleury (72), Alexander Nylander (64), Y:15-RND:3-Pit.
[2019-02-01 08:51:44] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-01-29 10:10:04] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-01-28 18:06:03] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-01-26 17:54:52] Auto Lines Partial Function has been run for Pittsburgh Penguins.
[2019-01-26 17:54:52] Auto Roster Partial Function has been run for Pittsburgh Penguins.
[2019-01-25 15:39:52] Colton Parayko from Pittsburgh Penguins is back from Left Foot Injury.
[2019-01-24 17:31:26] Game 772 - Colton Parayko from Pittsburgh Penguins is injured (Left Foot) and is out for 4 days.
[2019-01-24 17:30:36] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.4.4
[2019-01-23 11:15:36] Auto Lines Partial Function has been run for Penguins.
[2019-01-21 11:37:36] Last 7 Days Farm Star : 1 - Xavier Ouellet of Bruins (3-5-8) / 2 - Robby Fabbri of Penguins (1-7-8) / 3 - Scott Wilson of Barracuda (2-3-5)
[2019-01-19 11:35:45] TRADE : From Pittsburgh Penguins to Toronto Maple Leafs : Joel Eriksson Ek (70).
[2019-01-19 11:35:45] TRADE : From Toronto Maple Leafs to Pittsburgh Penguins : Y:14-RND:2-Tor.
[2019-01-19 11:33:52] Auto Lines Partial Function has been run for Pittsburgh Penguins.
[2019-01-19 11:33:52] Auto Roster Partial Function has been run for Pittsburgh Penguins.
[2019-01-18 19:25:41] TRADE : From Pittsburgh Penguins to Vegas Golden Knights : Y:18-RND:6-Pit.
[2019-01-18 19:25:41] TRADE : From Vegas Golden Knights to Pittsburgh Penguins : Antoine Vermette (76).
[2019-01-18 19:25:01] TRADE : From Pittsburgh Penguins to Dallas Stars : Mike Cammalleri (71).
[2019-01-18 19:25:01] TRADE : From Dallas Stars to Pittsburgh Penguins : Y:15-RND:6-Dal, Y:15-RND:6-Nas.
[2019-01-18 19:21:07] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-01-18 19:21:07] Chris Wagner of Pittsburgh Penguins was sent to pro.
[2019-01-17 17:53:25] TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:15-RND:5-Phi, Y:16-RND:5-Phi.
[2019-01-17 17:53:25] TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Tom Pyatt (71), Y:17-RND:6-Pit.



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
13603027021001941652930161201100103812230141501000918476519436055422705171218116105716237169348956412362595119.69%2274480.62%31044210149.69%1013210348.17%45293148.55%148710431370438751378
Total Saison Régulière603027021001941652930161201100103812230141501000918476519436055422705171218116105716237169348956412362595119.69%2274480.62%31044210149.69%1013210348.17%45293148.55%148710431370438751378
Séries
121156000003234-25320000015123624000001722-5103260920015791398130134118163441088223355814.55%34488.24%024645254.42%19842546.59%7617343.93%2832002618313969
121156000003234-25320000015123624000001722-5103260920015791398130134118163441088223355814.55%34488.24%024645254.42%19842546.59%7617343.93%2832002618313969
Total Séries221012000006468-4106400000302461248000003444-102064120184003014182796260268236326882161644661101614.55%68888.24%049290454.42%39685046.59%15234643.93%567400523167279139