Pittsburgh Penguins

GP: 82 | W: 44 | L: 35 | OTL: 3 | P: 91
GF: 265 | GA: 228 | PP%: 20.28% | PK%: 80.60%
DG: Maxime Roy | Morale : 61 | Moyenne d'Équipe : 80
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Nikita KucherovX100.00755588988897959950979587558585171870
2Vincent TrocheckX100.00975584948088929692919092558076163850
3Johnny GaudreauX100.00605599987590909950978582558280163830
4Ryan JohansenXX100.00775582959090959497907590558181167820
5Cam AtkinsonXX100.00715589878686928760808787558484181800
6Ondrej PalatX100.00975584918989968758867581558380181800
7Derick BrassardX100.00885589849393898785828385558584166800
8Alexander WennbergX100.00685589918282909079847083557877181780
9Alexander Kerfoot (R)X100.00785580927483888672808077557474168770
10Danton HeinenXX100.00745583897782888663847679557474177770
11Antoine VermetteX100.00735583819090867799666995559290137760
12Joonas DonskoiXX100.00655577797680808561787576557070181730
13Ryan SuterX100.00815590949599999625926699559295171880
14Jared SpurgeonX100.00805598948296979425887297558381173850
15Colton ParaykoX100.00875598919192899325846696558179160840
16Michael MathesonX100.00755579878689899025737095558582175810
17Ben HuttonX100.00755586838283887325646089557773181760
18Vince DunnX100.00725591655981678925776592557474181730
Rayé
1Denis MalginXXX100.00805578797275758062707677557070136710
2Chris WagnerX100.00995578737770757482656781557789161710
MOYENNE D'ÉQUIPE100.0079558687828788885881758755808016979
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 Quick100.0094959692959394929291559194158910
2Alex Stalock100.0076868885867578807582557570161780
Rayé
MOYENNE D'ÉQUIPE100.008591928991848686848755838216085
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
1Vincent TrocheckPittsburgh PenguinsC73274673108010268211274832199.85%24174023.85818267928403342606452.15%251600000.8400101956
2Johnny GaudreauPittsburgh PenguinsLW7429427142031112015717414.43%5156821.1991726622900000833037.74%25700000.9101000352
3Ryan JohansenPittsburgh PenguinsC/RW7920517122320120156239651318.37%11159320.1811516492240223845055.59%67100100.8901000245
4Nikita KucherovPittsburgh PenguinsRW7234346853210481372638618812.93%12170523.691215275928012392494340.63%16000210.8000002561
5Ryan SuterPittsburgh PenguinsD8211556611720142120106418710.38%127212325.8961521703221011245100.00%000000.6200000344
6Jared SpurgeonPittsburgh PenguinsD83203858-28810150146149409813.42%128212625.6212921973090001240210.00%000000.5500002335
7Cam AtkinsonPittsburgh PenguinsLW/RW8227305717180421002557318610.59%16160219.5578157427901161564248.25%11400100.7100000345
8Ondrej PalatPittsburgh PenguinsLW821821393367151261011514411511.92%6104512.7500001000134241.43%7000100.7500201231
9Vince DunnPittsburgh PenguinsD82122638232808257100226112.00%70154918.909716642571011207110.00%000000.4900000212
10Colton ParaykoPittsburgh PenguinsD82731389105516410511227646.25%94168020.505611621860111138000.00%000000.4500100222
11Derick BrassardPittsburgh PenguinsC6511253623300103136141481047.80%8117318.063912361790111813052.25%146600000.6100000224
12Antoine VermettePittsburgh PenguinsC83122133612028133135441098.89%1396711.660117151011553157.33%105000000.6801000022
13Michael MathesonPittsburgh PenguinsD82102232-860101016711138679.01%84151318.46134371191013213200.00%000000.4200020120
14Danton HeinenPittsburgh PenguinsC/LW82141731-940205664108317612.96%794911.585611341890000156042.31%13000000.6501022122
15Alexander WennbergPittsburgh PenguinsC82121931-88029123100307612.00%392511.2901108000001045.71%110700000.6700000021
16Alexander KerfootPittsburgh PenguinsRW82131427-63558772141351129.22%8106112.9512318145000001145.07%7100000.5100010220
17Ben HuttonPittsburgh PenguinsD8281624173810973236152822.22%63109513.37000113000060200.00%000000.4400002001
18Joonas DonskoiPittsburgh PenguinsLW/RW8259145401523578438.77%35106.2200000000010147.83%2300000.5500000020
19Denis MalginPittsburgh PenguinsC/LW/RW50235-152154521316236.45%34509.000004340001311144.53%13700000.2200100000
20Chris WagnerPittsburgh PenguinsC11011-395993130.00%1716.5200000000000053.85%6500000.2800001000
Stats d'équipe Total ou en Moyenne1492292521813134781105171519242713794196410.76%6862545617.0679132211753314551015332128491751.03%783700510.64045511405143
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 Penguins77412930.9072.5943592418820300320.5002739516
2Alex StalockPittsburgh Penguins133600.8743.8957100372930000.0000973000
Stats d'équipe Total ou en Moyenne90443530.9032.7449312422523230320.50028282516


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$0$No
Alexander KerfootPittsburgh PenguinsRW221994-08-11Yes174 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$0$No
Alexander WennbergPittsburgh PenguinsC221994-09-21No190 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$0$No
Antoine VermettePittsburgh PenguinsC341982-07-19No198 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$0$No
Ben HuttonPittsburgh PenguinsD231993-04-20No183 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$300,000$0$No
Cam AtkinsonPittsburgh PenguinsLW/RW271989-06-05No174 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm5,000,000$5,000,000$0$No
Chris WagnerPittsburgh PenguinsC251991-05-27No202 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$0$No
Colton ParaykoPittsburgh PenguinsD231993-05-12No214 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$300,000$0$No
Danton HeinenPittsburgh PenguinsC/LW211995-07-05No185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$0$No
Denis MalginPittsburgh PenguinsC/LW/RW191997-01-18No163 Lbs5 ft8NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$0$No
Derick BrassardPittsburgh PenguinsC291987-09-22No202 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$0$No
Jared SpurgeonPittsburgh PenguinsD271989-11-29No176 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm5,000,000$5,000,000$0$No
Johnny GaudreauPittsburgh PenguinsLW231993-08-13No150 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm500,000$500,000$0$No
Jonathan QuickPittsburgh PenguinsG301986-01-21No220 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm6,500,000$6,500,000$0$No
Joonas DonskoiPittsburgh PenguinsLW/RW241992-04-13No180 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$300,000$0$No
Michael MathesonPittsburgh PenguinsD221994-02-17No192 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm925,000$925,000$0$No
Nikita KucherovPittsburgh PenguinsRW231993-06-16No184 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$0$No
Ondrej PalatPittsburgh PenguinsLW251991-03-27No190 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$0$No
Ryan JohansenPittsburgh PenguinsC/RW241992-07-30No223 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm3,500,000$3,500,000$0$No
Ryan SuterPittsburgh PenguinsD311985-01-20No200 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm5,000,000$5,000,000$0$No
Vince DunnPittsburgh PenguinsD201996-10-29No187 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$500,000$0$No
Vincent TrocheckPittsburgh PenguinsC231993-07-10No182 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm3,500,000$3,500,000$0$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 Kucherov50113
2Cam AtkinsonDerick BrassardRyan Johansen32113
3Ondrej PalatAlexander WennbergAlexander Kerfoot13113
4Danton HeinenAntoine VermetteJoonas Donskoi5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon50131
2Colton ParaykoVince Dunn30131
3Ben HuttonMichael Matheson15131
4Ryan SuterJared Spurgeon5131
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 TrocheckJohnny Gaudreau60131
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 TrocheckJohnny Gaudreau60122
2Ryan JohansenNikita Kucherov40122
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
Ryan Johansen, Vincent Trocheck, Cam AtkinsonDanton Heinen, Vincent TrocheckVincent Trocheck
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ben Hutton, Vince Dunn, Michael MathesonBen HuttonVince Dunn, Michael Matheson
Tirs de Pénalité
Johnny Gaudreau, Ryan Johansen, Danton Heinen, Vincent Trocheck, 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%01446288050.21%1389286248.53%632126250.08%523845142412
2Boston Bruins3110010089-12010010036-31100000053230.50081321004040722623221812231831100.00%12375.00%01446288050.21%1389286248.53%632126250.08%714773233718
3Buffalo Sabres312000001012-21010000024-22110000088020.33310172700523010930324707920166821419.05%8362.50%01446288050.21%1389286248.53%632126250.08%815963203418
4Calgary Flames2020000068-21010000034-11010000034-100.00061016004020642522170681427476116.67%10280.00%01446288050.21%1389286248.53%632126250.08%503444142412
5Carolina Hurricanes413000001119-82110000055020200000614-820.250112233109110112542434011838268918422.22%13561.54%01446288050.21%1389286248.53%632126250.08%976690285125
6Chicago Blackhawks22000000927110000005141100000041341.000916250042307524193204427163914535.71%80100.00%01446288050.21%1389286248.53%632126250.08%523742142512
7Colorado Avalanche220000001376110000007431100000063341.0001324370035505518181905314264012433.33%8362.50%11446288050.21%1389286248.53%632126250.08%483445142513
8Columbus Blue Jackets4120100010912020000036-32100100073440.50010182800324111536403631303853831317.69%16287.50%11446288050.21%1389286248.53%632126250.08%8960101305226
9Dallas Stars211000006601010000035-21100000031220.500610160004203913188062912418450.00%6183.33%01446288050.21%1389286248.53%632126250.08%453150142412
10Detroit Red Wings32000100954210001005501100000040450.83391726013420791731310722722607342.86%9188.89%01446288050.21%1389286248.53%632126250.08%735171213717
11Edmonton Oilers21100000660110000005231010000014-320.5006101600222068252122069142343700.00%9277.78%01446288050.21%1389286248.53%632126250.08%483447142411
12Florida Panthers3300000015962200000013851100000021161.0001527420064508327213508017254013323.08%10460.00%01446288050.21%1389286248.53%632126250.08%775564203719
13Los Angeles Kings211000008531010000034-11100000051420.500814220021507526262304516224010440.00%50100.00%01446288050.21%1389286248.53%632126250.08%513643142512
14Minnesota Wild20200000410-61010000025-31010000025-300.0004711002110602018220611217339111.11%6350.00%01446288050.21%1389286248.53%632126250.08%544042142311
15Montreal Canadiens31200000981110000006242020000036-320.33391524005040852823340721625581218.33%10280.00%01446288050.21%1389286248.53%632126250.08%725269213718
16Nashville Predators21000001761110000005321000000123-130.750712190032207329212065320293115320.00%6183.33%01446288050.21%1389286248.53%632126250.08%553843142614
17New Jersey Devils4220000089-1220000004132020000048-440.5008152301152011334374201093948869111.11%17476.47%01446288050.21%1389286248.53%632126250.08%1017288264925
18New York Islanders440000001468220000007342200000073481.000142741002660138365250010327358424729.17%14192.86%01446288050.21%1389286248.53%632126250.08%986789315125
19New York Rangers422000001091220000008172020000028-640.50010192901532014332605101073232812328.70%15286.67%01446288050.21%1389286248.53%632126250.08%997192304824
20Ottawa Senators320010001257110000004222100100083561.0001222340113717618262849425247015320.00%12191.67%01446288050.21%1389286248.53%632126250.08%785468233719
21Philadelphia Flyers4400000016972200000010552200000064281.00016264200754012443315001233025807114.29%8187.50%01446288050.21%1389286248.53%632126250.08%916498304924
22Phoenix Coyotes211000006601010000024-21100000042220.50061016003030723318210632112428112.50%6350.00%01446288050.21%1389286248.53%632126250.08%463248142412
23San Jose Sharks22000000936110000004221100000051441.00091827002340642123200521212307228.57%60100.00%01446288050.21%1389286248.53%632126250.08%513643132512
24St. Louis Blues2020000047-31010000034-11010000013-200.0004812001120481712190711616365120.00%8275.00%01446288050.21%1389286248.53%632126250.08%473248132412
25Tampa Bay Lightning312000001012-22020000059-41100000053220.3331018281062209530323307223245611218.18%11281.82%11446288050.21%1389286248.53%632126250.08%765466213619
26Toronto Maple Leafs32100000963110000003122110000065140.6679162500423011537384009231348016425.00%17288.24%01446288050.21%1389286248.53%632126250.08%815862213618
Total82413503201265228374122160120014211329411919020011231158910.5552654827472410172893246981878385516232565575916643557220.28%2995880.60%41446288050.21%1389286248.53%632126250.08%2034142518815971024516
28Vancouver Canucks2020000057-21010000034-11010000023-100.000510150040104715239068142843400.00%90100.00%01446288050.21%1389286248.53%632126250.08%402552152712
29Vegas Golden Knights21100000862110000005231010000034-120.50081624004130512311170571118379444.44%8187.50%01446288050.21%1389286248.53%632126250.08%513643142412
30Washington Capitals413000001314-12110000010732020000037-420.25013263900373098372932012531376417423.53%15380.00%11446288050.21%1389286248.53%632126250.08%986890295125
31Winnipeg Jets2020000015-41010000012-11010000003-300.000123001000522113180431523531300.00%9277.78%01446288050.21%1389286248.53%632126250.08%483146152513
_Since Last GM Reset82413503201265228374122160120014211329411919020011231158910.5552654827472410172893246981878385516232565575916643557220.28%2995880.60%41446288050.21%1389286248.53%632126250.08%2034142518815971024516
_Vs Conference522820022001641412326168002008865232612120200076760620.59616429846224644652215574854995658145741645710822174018.43%1873680.75%31446288050.21%1389286248.53%632126250.08%12919041192379649326
_Vs Division281512010008275714104000004728191458010003547-12320.5718215323512302922184327227329538152352565671112018.02%981881.63%21446288050.21%1389286248.53%632126250.08%677471652206353177

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8291W126548274724692325655759166424
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8241353201265228
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122161200142113
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4119192001123115
Derniers 10 Matchs
WLOTWOTL SOWSOL
620101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3557220.28%2995880.60%4
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
8187838551610172893
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
1446288050.21%1389286248.53%632126250.08%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2034142518815971024516


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 Sharks2Pittsburgh Penguins4WSommaire du Match
135 - 2019-01-17952Pittsburgh Penguins4Philadelphia Flyers3WSommaire du Match
138 - 2019-01-20971Pittsburgh Penguins4Columbus Blue Jackets1WSommaire du Match
141 - 2019-01-23992Pittsburgh Penguins3Buffalo Sabres4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-241005Pittsburgh Penguins2Montreal Canadiens3LSommaire du Match
145 - 2019-01-271027Florida Panthers5Pittsburgh Penguins8WSommaire du Match
147 - 2019-01-291041Columbus Blue Jackets2Pittsburgh Penguins1LSommaire du Match
149 - 2019-01-311050Pittsburgh Penguins3Columbus Blue Jackets2WXSommaire du Match
150 - 2019-02-011063Boston Bruins3Pittsburgh Penguins1LSommaire du Match
152 - 2019-02-031077Washington Capitals4Pittsburgh Penguins2LSommaire du Match
154 - 2019-02-051084Pittsburgh Penguins5Buffalo Sabres4WSommaire du Match
156 - 2019-02-071107St. Louis Blues4Pittsburgh Penguins3LSommaire du Match
157 - 2019-02-081116Philadelphia Flyers3Pittsburgh Penguins5WSommaire du Match
159 - 2019-02-101122Pittsburgh Penguins2Carolina Hurricanes7LSommaire du Match
161 - 2019-02-121145Pittsburgh Penguins2Nashville Predators3LXXSommaire du Match
163 - 2019-02-141152Pittsburgh Penguins3Dallas Stars1WSommaire du Match
165 - 2019-02-161172Pittsburgh Penguins0New York Rangers3LSommaire du Match
169 - 2019-02-201201Nashville Predators3Pittsburgh Penguins5WSommaire du Match
171 - 2019-02-221219Carolina Hurricanes2Pittsburgh Penguins4WSommaire du Match
173 - 2019-02-241234Pittsburgh Penguins4Detroit Red Wings0WSommaire du Match
175 - 2019-02-261249Detroit Red Wings4Pittsburgh Penguins3LXSommaire du Match
177 - 2019-02-281268New York Rangers0Pittsburgh Penguins3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance231,497196,94877,837155,89838,914
Attendance PCT94.10%96.07%94.92%95.06%94.91%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17100 - 95.00% 1,066,646$43,732,472$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
44,251,913$ 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$ 44,065,468$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 279,237$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 49,325,000$ 132,370,591$ 132,370,591$



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:85
Ryan JohansenAGE:24PO:1OV:82
Derick BrassardAGE:29PO:1OV:80
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:62
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.



[2019-04-06 12:58:36] Last 30 Days Farm Star : 1 - Nicholas Baptiste of Wild (17-11-28) / 2 - Marcus Kruger of Roadrunners (15-10-25) / 3 - Robby Fabbri of Penguins (10-10-20)
[2019-04-06 11:54:13] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-04-04 09:46:57] Last 7 Days Farm Star : 1 - Anton Slepyshev of Americans (5-4-9) / 2 - Duncan Siemens of Crunch (2-3-5) / 3 - Josh Archibald of Penguins (3-3-6)
[2019-04-04 09:45:12] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-04-02 08:18:40] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-03-28 06:14:43] Last 7 Days Farm Star : 1 - Marcus Kruger of Roadrunners (6-1-7) / 2 - Spencer Foo of Sound Tigers (3-2-5) / 3 - Robby Fabbri of Penguins (3-3-6)
[2019-03-25 07:50:10] Derick Brassard from Pittsburgh Penguins is back from Broken Right Foot Toe Injury.
[2019-03-21 05:18:30] Last 7 Days Farm Star : 1 - Marcus Kruger of Roadrunners (5-4-9) / 2 - Eddie Pasquale of Senators (0,988) / 3 - Robby Fabbri of Penguins (4-3-7)
[2019-03-21 05:18:04] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-03-17 10:30:01] Robby Fabbri from Penguins has scored a Hat Trick!
[2019-03-15 05:22:37] Nikita Kucherov from Pittsburgh Penguins is back from Bruised Left Arm Injury.
[2019-03-12 08:46:09] Auto Lines Partial Function has been run for Pittsburgh Penguins.
[2019-03-12 08:46:09] Auto Roster Partial Function has been run for Pittsburgh Penguins.
[2019-03-11 09:22:54] Jonathan Quick from Pittsburgh Penguins is back from Exhaustion.
[2019-03-10 05:41:00] Last 30 Days Pro Star : 1 - Vincent Trocheck of Pittsburgh Penguins (8-12-20) / 2 - Jonathan Marchessault of New York Rangers (8-16-24) / 3 - Anze Kopitar of New York Rangers (8-16-24)
[2019-03-10 05:41:00] Jonathan Quick from Pittsburgh Penguins injured (Exhaustion)
[2019-03-05 10:15:44] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-03-02 14:05:43] Auto Lines Partial Function has been run for Pittsburgh Penguins.
[2019-03-02 14:05:43] Auto Roster Partial Function has been run for Pittsburgh Penguins.
[2019-03-02 07:53:26] Game 992 - Nikita Kucherov from Pittsburgh Penguins is injured (Bruised Left Arm) and is out for 2 weeks.



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
1382413503201265228374122160120014211329411919020011231158912654827472410172893246981878385516232565575916643557220.28%2995880.60%41446288050.21%1389286248.53%632126250.08%2034142518815971024516
Total Saison Régulière82413503201265228374122160120014211329411919020011231158912654827472410172893246981878385516232565575916643557220.28%2995880.60%41446288050.21%1389286248.53%632126250.08%2034142518815971024516
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