Penguins

GP: 82 | W: 36 | L: 36 | OTL: 10 | P: 82
GF: 213 | GA: 246 | PP%: 23.21% | PK%: 79.05%
DG: Jonathan | Morale : 34 | Moyenne d'Équipe : 71
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
1Mikael GranlundXXX97.006742908766799580547971652569717553710
2Patric HornqvistXX97.008745887967708783457280662576807754710
3Joel ArmiaX100.008545918177728571316678737562637455700
4Markus GranlundXX100.006742918267708274575867857264657350680
5Mikkel BoedkerXX100.007143978576679072367959616175776954680
6Adam LowryXX100.009470877883687963986165842567697254680
7Vladimir SobotkaX100.007843887965679259856158862570736854670
8Reid BoucherXX100.007569908369757771506671706757577251670
9Sam BennettXX100.008289658376659471576270602564657057660
10Steve BernierX100.007682616782768066505665736275796684660
11Dmitry OrlovX100.008255878475849966256648792570726654730
12Roman PolakX100.009057756686788359255146972577806454730
13Tyler MyersX100.007755788189819865256151765373756654720
14Niklas Kronwall (A)X100.007643857470809673256548735382886525700
15Miro Heiskanen (R)X100.006341938764887374256259742555556846680
16Tim SchallerXXX100.007957937878588260446257802559606655680
Rayé
1Auston MatthewsX96.006342938980798279928696624864658448750
2Brent Burns (C)XX96.007645878887939989258460696687917648770
3Brian Boyle (A)XXXX96.008561847292658880676173826179857649740
4Cale Makar (R)X93.996563858674798085258465852444447047720
MOYENNE D'ÉQUIPE98.75775485807675877247676475436871715270
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
1Tuukka Rask98.00817574798578718282819071747954760
2Jack Campbell100.00826260798876777888824347477854730
Rayé
MOYENNE D'ÉQUIPE99.0082696779877774808582675961795475
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan79495748907466CAN4811,378,125$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Auston MatthewsPenguinsC77333972-111401021522449117913.52%48153919.9991322301410003677354.94%20136820000.9407000665
2Mikael GranlundPenguinsC/LW/RW82244468-930011692315952127.62%46172921.09912213815100071662241.28%2815924010.7903000536
3Brent BurnsPenguinsRW/D7684250-143601001312391001123.35%95189124.88311141715603331203033.33%36249000.5328000223
4Patric HornqvistPenguinsLW/RW82222547-1148014777256901588.59%25152718.635712221500114523039.68%1265125010.6203000223
5Joel ArmiaPenguinsRW78192241-153010110991875714210.16%27136517.51371071101019713333.33%724821200.6001001322
6Mikkel BoedkerPenguinsLW/RW82181836-7006976212681118.49%32124715.2132511570000123235.42%484512000.5800000024
7Markus GranlundPenguinsC/RW6117173481608479115328114.78%29102616.833034471127881142.39%4601619100.6601000211
8Reid BoucherPenguinsLW/RW82112334-6255696416868986.55%21100112.21000080002332242.19%644012000.6835010111
9Adam LowryPenguinsC/LW81112132-722012914212450708.87%33136616.8724647821341410056.74%10911729100.4700000013
10Cale MakarPenguinsD5451924437534589643475.21%4999918.520448670002101200.00%12442000.4800000001
11Brian BoylePenguinsC/LW/RW/D82101222-1877151309916748775.99%75154418.832241111900051231153.22%1711956000.2813012131
12Sam BennettPenguinsC/LW7810112127610823512129738.26%177629.78000060116342145.36%97308000.5500101202
13Roman PolakPenguinsD8221719-187201031377039362.86%111157619.230001520001173000.00%0653000.2401000000
14Miro HeiskanenPenguinsD782141626037767426212.70%90125016.04022975000023100.00%01148000.2600000011
15Jesperi KotkaniemiSeattle Thunderbirds (PIT)C/LW374711-32031317422445.41%641011.110003110000271056.76%74106000.5400000001
16Dmitry OrlovPenguinsD82099-2200661076121210.00%71147718.020111620112129000.00%01255000.1200000100
17Vladimir SobotkaPenguinsC76448-50028353261712.50%104115.41000050005420056.44%16346000.3900000000
18Tyler MyersPenguinsD820771046081776417200.00%68129715.82000180001134000.00%0647000.1100000000
19Tim SchallerPenguinsC/LW/D65404-139560774717248.51%2475311.580000380002221032.66%3981211000.1100001100
20Steve BernierPenguinsRW20202116101110165512.50%71869.3200000000010025.00%423000.2100200000
21Niklas KronwallPenguinsD5201141201723191080.00%284719.0800000000354000.00%0218000.0400000000
22Jacob LarssonSeattle Thunderbirds (PIT)D6000000002000.00%0142.400000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1495206352558-1085946016061677270393415567.62%9122385115.95396510416713494812661622321550.43%5066544564420.47632325262434
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
1Tuukka RaskPenguins64272880.9122.953768011852099956330.826236319772
2Jack CampbellPenguins219820.9182.6912040054657314200.75081963310
Stats d'équipe Total ou en Moyenne853636100.9132.8849720123927561270530.8063182821082


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 Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam LowryPenguinsC/LW251993-03-28No210 Lbs6 ft6NoNoNo2Pro & Farm2,916,666$2,916,666$20,396$No2,916,666$Lien
Auston MatthewsPenguinsC201997-09-17No216 Lbs6 ft3NoNoNo5Pro & Farm11,634,000$11,634,000$81,357$No11,634,000$11,634,000$11,634,000$11,634,000$Lien
Brent BurnsPenguinsRW/D331985-03-09No230 Lbs6 ft5NoNoNo3Pro & Farm8,000,000$8,000,000$55,944$No8,000,000$8,000,000$Lien
Brian BoylePenguinsC/LW/RW/D331984-12-18No245 Lbs6 ft6NoNoNo1Pro & Farm2,805,000$2,805,000$19,615$NoLien
Cale Makar (Sur la Masse Salariale)PenguinsD191998-10-30 06:19:51Yes187 Lbs5 ft11NoNoNo3Pro & Farm880,833$880,833$6,160$No880,833$880,833$
Dmitry OrlovPenguinsD261991-07-22No212 Lbs5 ft11NoNoNo3Pro & Farm5,100,000$5,100,000$35,664$No5,100,000$5,100,000$Lien
Jack CampbellPenguinsG261992-01-08No197 Lbs6 ft3NoNoNo3Pro & Farm675,000$675,000$4,720$No1,650,000$1,650,000$Lien
Joel ArmiaPenguinsRW251993-05-31No205 Lbs6 ft3NoNoNo2Pro & Farm2,600,000$2,600,000$18,182$No2,600,000$Lien
Markus GranlundPenguinsC/RW251993-04-15No183 Lbs6 ft0NoNoNo1Pro & Farm1,300,000$1,300,000$9,091$NoLien
Mikael GranlundPenguinsC/LW/RW261992-02-25No185 Lbs5 ft10NoNoNo1Pro & Farm5,750,000$5,750,000$40,210$NoLien
Mikkel BoedkerPenguinsLW/RW281989-12-15No210 Lbs6 ft0NoNoNo1Pro & Farm4,000,000$4,000,000$27,972$NoLien
Miro HeiskanenPenguinsD181999-07-18Yes170 Lbs6 ft0NoNoNo2Pro & Farm894,166$894,166$6,253$No894,166$Lien
Niklas KronwallPenguinsD371981-01-11No194 Lbs6 ft0NoNoNo1Pro & Farm5,225,000$5,225,000$36,538$NoLien
Patric HornqvistPenguinsLW/RW311987-01-01No189 Lbs5 ft11NoNoNo3Pro & Farm5,300,000$5,300,000$37,063$No5,300,000$5,300,000$Lien
Reid BoucherPenguinsLW/RW241993-09-08No195 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$5,245$NoLien
Roman PolakPenguinsD321986-04-28No235 Lbs6 ft2NoNoNo1Pro & Farm1,750,000$1,750,000$12,238$NoLien
Sam BennettPenguinsC/LW221996-06-19No200 Lbs6 ft1NoNoNo2Pro & Farm2,550,000$2,550,000$17,832$No2,550,000$Lien
Steve BernierPenguinsRW331985-03-31No220 Lbs6 ft3NoNoNo1Pro & Farm715,000$715,000$5,000$NoLien
Tim SchallerPenguinsC/LW/D271990-11-16No210 Lbs6 ft2NoNoNo1Pro & Farm1,900,000$1,900,000$13,287$NoLien
Tuukka RaskPenguinsG311987-03-10No194 Lbs6 ft3NoNoNo2Pro Only7,000,000$7,000,000$48,951$No7,000,000$Lien
Tyler Myers (Contrat à 1 Volet)PenguinsD281990-01-31No229 Lbs6 ft8NoNoNo5Pro & Farm6,000,000$6,000,000$41,958$No6,000,000$6,000,000$6,000,000$6,000,000$Lien
Vladimir SobotkaPenguinsC301987-07-02No184 Lbs5 ft10NoNoNo2Pro & Farm3,500,000$3,500,000$24,476$No3,500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2227.23205 Lbs6 ft22.093,692,985$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
81,245,665$58,025,665$38,564,833$17,634,000$17,634,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikael GranlundPatric Hornqvist40122
2Mikkel BoedkerMarkus GranlundJoel Armia30122
3Tim SchallerAdam LowryReid Boucher20122
4Sam BennettVladimir SobotkaSteve Bernier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Roman PolakDmitry Orlov30122
3Tyler MyersNiklas Kronwall20122
4Miro Heiskanen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikael GranlundPatric Hornqvist60122
2Mikkel BoedkerMarkus GranlundJoel Armia40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Roman PolakDmitry Orlov40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mikael Granlund60122
2Patric HornqvistJoel Armia40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Roman PolakDmitry Orlov40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
2Mikael Granlund40122Roman PolakDmitry Orlov40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mikael Granlund60122
2Patric HornqvistJoel Armia40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Roman PolakDmitry Orlov40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikael GranlundPatric Hornqvist
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikael GranlundPatric Hornqvist
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Lowry, Tim Schaller, Reid BoucherAdam Lowry, Tim SchallerReid Boucher
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Myers, Niklas Kronwall, Miro HeiskanenTyler MyersNiklas Kronwall, Miro Heiskanen
Tirs de Pénalité
, , , Mikael Granlund, Patric Hornqvist
Gardien
#1 : Tuukka Rask, #2 : Jack Campbell
Lignes d'Attaque Perso. en Prol.
, , , Mikael Granlund, Patric Hornqvist, Joel Armia, Joel Armia, Mikkel Boedker, Markus Granlund, Adam Lowry, Tim Schaller
Lignes de Défense Perso. en Prol.
, , Roman Polak, Dmitry Orlov, Tyler Myers


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
1Avalanche2020000038-51010000013-21010000025-300.000369001020702131180672412365120.00%6183.33%0942183751.28%1029200451.35%591118150.04%432543173215
2Blackhawks321000007702110000034-11100000043140.667713200023201013927350953726705120.00%13192.31%2942183751.28%1029200451.35%591118150.04%633562285426
3Blues21100000660110000005321010000013-220.50061117001500541922130672114374125.00%7185.71%0942183751.28%1029200451.35%591118150.04%432441183416
4Bruins21000010853110000004221000001043141.0008122000124163142821375212142500.00%9188.89%0942183751.28%1029200451.35%591118150.04%422244203818
5Canadiens2020000037-41010000013-21010000024-200.00034700021062132029076181033100.00%5180.00%1942183751.28%1029200451.35%591118150.04%382146173416
6Canucks412001001014-42020000059-42100010055030.375101626001360121423544014335276611436.36%11281.82%0942183751.28%1029200451.35%591118150.04%784394387034
7Capitals20000011990100000105411000000145-130.750915240023316212271619743414376350.00%7271.43%0942183751.28%1029200451.35%591118150.04%402249193919
8Devils3110010079-21010000013-22100010066030.500711181014208619303611003732606233.33%16381.25%0942183751.28%1029200451.35%591118150.04%562870285425
9Ducks312000001015-5211000008801010000027-520.333101828001450101292943010047256110660.00%10370.00%0942183751.28%1029200451.35%591118150.04%633766265023
10Flames21001000532110000002111000100032141.000581300013172162528365291049800.00%5180.00%0942183751.28%1029200451.35%591118150.04%472738173518
11Flyers614000101519-42110000065140300010914-540.3331519340026612116274726193573013516425.00%15380.00%0942183751.28%1029200451.35%591118150.04%133771265210554
12Golden Knights21100000660110000004221010000024-220.5006111700105069271329070221831100.00%9366.67%0942183751.28%1029200451.35%591118150.04%412445173315
13Golden Seals2110000036-3110000002111010000015-420.50035800111061142423072189446116.67%30100.00%0942183751.28%1029200451.35%591118150.04%442441163417
14Islanders2110000045-1110000002111010000024-220.5004711001210671718320722737377228.57%60100.00%0942183751.28%1029200451.35%591118150.04%422342173416
15Jets3010110067-11010000023-12000110044030.500610160031111182845414973720594250.00%10280.00%1942183751.28%1029200451.35%591118150.04%643866275325
16Kings40201100914-520100100510-52010100044030.3759182700161112942572821235718748225.00%9366.67%0942183751.28%1029200451.35%591118150.04%845191366933
17Lightning2010000146-21010000023-11000000123-110.250471100121165202517672281241700.00%6183.33%0942183751.28%1029200451.35%591118150.04%462743183417
18Maple Leafs2110000067-11010000035-21100000032120.50061016001230711228310691912375240.00%6266.67%0942183751.28%1029200451.35%591118150.04%412340183719
19Maroons30102000101001010000024-22000200086240.6671017270033221054023366111332259300.00%11372.73%0942183751.28%1029200451.35%591118150.04%663863255125
20Nordiques430000011055220000006242100000143170.87510162601253116354614761145137816116.67%16381.25%0942183751.28%1029200451.35%591118150.04%945678347235
21Oilers32100000752211000004401100000031240.6677101700322097394117082251078500.00%5260.00%0942183751.28%1029200451.35%591118150.04%633659285627
22Panthers41300000612-62020000027-52110000045-120.2506101610051012932484901292951104600.00%13376.92%1942183751.28%1029200451.35%591118150.04%905176357236
23Rangers210001007521000010034-11100000041330.7507101700133066152427074231038100.00%50100.00%0942183751.28%1029200451.35%591118150.04%412447173216
24Red Wings220000001174110000005321100000064241.000112233002450721629270651719437342.86%7271.43%0942183751.28%1029200451.35%591118150.04%422544183216
25Sabres623001001517-2412001001112-12110000045-150.41715233810663019263755042196746107300.00%18477.78%0942183751.28%1029200451.35%591118150.04%121691345310451
26Senateurs411010101315-22000101010822110000037-460.75013223500056213534534641375425929111.11%10280.00%0942183751.28%1029200451.35%591118150.04%895086347036
27Sharks2020000046-21010000012-11010000034-100.00047110000406614193307820639100.00%30100.00%0942183751.28%1029200451.35%591118150.04%382147173416
28Stars211000005411010000012-11100000042220.5005813000320612217220651514348337.50%7271.43%0942183751.28%1029200451.35%591118150.04%402144183518
Total82263606644213246-3341142001321108121-1341121605323105125-20820.5002133535663139848012273578397893867275992561016721683923.21%2535379.05%5942183751.28%1029200451.35%591118150.04%1749100317837391446715
30Wild2010000147-31000000123-11010000024-210.25047110011206683028355232348400.00%5260.00%0942183751.28%1029200451.35%591118150.04%462641183717
_Since Last GM Reset82263606644213246-3341142001321108121-1341121605323105125-20820.5002133535663139848012273578397893867275992561016721683923.21%2535379.05%5942183751.28%1029200451.35%591118150.04%1749100317837391446715
_Vs Conference48142105323119140-2124613012116075-152488041125965-6480.5001191943132120514191621486578533401590534353997991818.18%1453277.93%3942183751.28%1029200451.35%591118150.04%10436021022430850424
_Vs Division32915023217896-181648012104553-81657011113343-10300.469781242022112362651080329403336221058350234659591220.34%922078.26%1942183751.28%1029200451.35%591118150.04%691401688285565282

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8282OTL121335356627352759925610167231
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8226366644213246
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114201321108121
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4112165323105125
Derniers 10 Matchs
WLOTWOTL SOWSOL
521200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1683923.21%2535379.05%5
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
7839789386739848012
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
942183751.28%1029200451.35%591118150.04%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1749100317837391446715


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2019-10-0515Sabres4Penguins2LSommaire du Match
3 - 2019-10-0625Penguins1Flyers4LSommaire du Match
5 - 2019-10-0845Sabres5Penguins2LSommaire du Match
6 - 2019-10-0954Penguins2Flyers3LSommaire du Match
8 - 2019-10-1171Flyers1Penguins3WSommaire du Match
10 - 2019-10-1387Penguins2Nordiques3LXXSommaire du Match
11 - 2019-10-1497Penguins3Sabres1WSommaire du Match
13 - 2019-10-16110Panthers3Penguins1LSommaire du Match
15 - 2019-10-18130Penguins3Devils2WSommaire du Match
16 - 2019-10-19143Blackhawks3Penguins1LSommaire du Match
18 - 2019-10-21158Wild3Penguins2LXXSommaire du Match
20 - 2019-10-23180Penguins2Panthers1WSommaire du Match
21 - 2019-10-24185Penguins4Maroons3WXSommaire du Match
23 - 2019-10-26202Oilers3Penguins1LSommaire du Match
25 - 2019-10-28218Senateurs4Penguins5WXSommaire du Match
26 - 2019-10-29232Penguins3Jets2WXSommaire du Match
28 - 2019-10-31248Flyers4Penguins3LSommaire du Match
31 - 2019-11-03264Penguins4Maroons3WXSommaire du Match
32 - 2019-11-04280Blackhawks1Penguins2WSommaire du Match
34 - 2019-11-06296Penguins1Sabres4LSommaire du Match
36 - 2019-11-08309Jets3Penguins2LSommaire du Match
37 - 2019-11-09325Canadiens3Penguins1LSommaire du Match
39 - 2019-11-11339Penguins2Canadiens4LSommaire du Match
41 - 2019-11-13355Penguins3Maple Leafs2WSommaire du Match
43 - 2019-11-15369Red Wings3Penguins5WSommaire du Match
44 - 2019-11-16382Penguins3Devils4LXSommaire du Match
45 - 2019-11-17397Lightning3Penguins2LSommaire du Match
47 - 2019-11-19415Penguins4Blackhawks3WSommaire du Match
49 - 2019-11-21427Penguins3Flames2WXSommaire du Match
51 - 2019-11-23442Devils3Penguins1LSommaire du Match
52 - 2019-11-24458Penguins1Jets2LXSommaire du Match
54 - 2019-11-26473Flames1Penguins2WSommaire du Match
56 - 2019-11-28488Penguins2Wild4LSommaire du Match
58 - 2019-11-30502Islanders1Penguins2WSommaire du Match
60 - 2019-12-02518Panthers4Penguins1LSommaire du Match
62 - 2019-12-04537Penguins2Nordiques0WSommaire du Match
64 - 2019-12-06551Penguins5Flyers4WXXSommaire du Match
65 - 2019-12-07563Maroons4Penguins2LSommaire du Match
67 - 2019-12-09577Penguins4Stars2WSommaire du Match
68 - 2019-12-10592Penguins2Lightning3LXXSommaire du Match
69 - 2019-12-11600Golden Knights2Penguins4WSommaire du Match
71 - 2019-12-13623Sharks2Penguins1LSommaire du Match
73 - 2019-12-15638Ducks5Penguins1LSommaire du Match
74 - 2019-12-16652Penguins1Blues3LSommaire du Match
77 - 2019-12-19673Rangers4Penguins3LXSommaire du Match
78 - 2019-12-20684Penguins1Kings2LSommaire du Match
81 - 2019-12-23702Blues3Penguins5WSommaire du Match
83 - 2019-12-25713Penguins1Flyers3LSommaire du Match
84 - 2019-12-26729Maple Leafs5Penguins3LSommaire du Match
86 - 2019-12-28748Penguins2Ducks7LSommaire du Match
87 - 2019-12-29759Sabres2Penguins1LXSommaire du Match
89 - 2019-12-31772Penguins4Capitals5LXXSommaire du Match
90 - 2020-01-01786Penguins4Rangers1WSommaire du Match
92 - 2020-01-03802Canucks4Penguins3LSommaire du Match
94 - 2020-01-05816Penguins0Senateurs6LSommaire du Match
96 - 2020-01-07833Bruins2Penguins4WSommaire du Match
98 - 2020-01-09851Ducks3Penguins7WSommaire du Match
100 - 2020-01-11865Penguins6Red Wings4WSommaire du Match
103 - 2020-01-14882Senateurs4Penguins5WXXSommaire du Match
105 - 2020-01-16897Penguins3Sharks4LSommaire du Match
106 - 2020-01-17910Canucks5Penguins2LSommaire du Match
108 - 2020-01-19927Penguins3Canucks2WSommaire du Match
110 - 2020-01-21941Avalanche3Penguins1LSommaire du Match
111 - 2020-01-22957Penguins1Golden Seals5LSommaire du Match
112 - 2020-01-23964Penguins2Avalanche5LSommaire du Match
114 - 2020-01-25982Stars2Penguins1LSommaire du Match
115 - 2020-01-26996Penguins4Bruins3WXXSommaire du Match
117 - 2020-01-281014Oilers1Penguins3WSommaire du Match
119 - 2020-01-301028Capitals4Penguins5WXXSommaire du Match
121 - 2020-02-011044Penguins2Islanders4LSommaire du Match
123 - 2020-02-031059Golden Seals1Penguins2WSommaire du Match
125 - 2020-02-051080Penguins2Panthers4LSommaire du Match
126 - 2020-02-061091Nordiques1Penguins2WSommaire du Match
128 - 2020-02-081105Penguins2Golden Knights4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
129 - 2020-02-091117Penguins3Kings2WXSommaire du Match
130 - 2020-02-101131Nordiques1Penguins4WSommaire du Match
132 - 2020-02-121144Penguins3Oilers1WSommaire du Match
133 - 2020-02-131160Sabres1Penguins6WSommaire du Match
136 - 2020-02-161185Kings3Penguins2LXSommaire du Match
139 - 2020-02-191204Kings7Penguins3LSommaire du Match
140 - 2020-02-201213Penguins3Senateurs1WSommaire du Match
141 - 2020-02-211222Penguins2Canucks3LXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets85603520180
Assistance236,115195,29076,592157,38938,457
Attendance PCT95.98%95.26%93.40%95.97%93.80%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17167 - 95.37% 1,618,574$66,361,526$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
82,120,931$ 80,364,832$ 70,114,832$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
80,364,832$ 82,120,931$ 0$ 21 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 571,629$ 571,629$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
571,629$ 81,862,957$ 13,400,842$ 12,829,213$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Brian BoyleAGE:33PO:76OV:74
Patric HornqvistAGE:31PO:77OV:71
Mikael GranlundAGE:26PO:75OV:71
Adam LowryAGE:25PO:72OV:68
Mikkel BoedkerAGE:28PO:69OV:68
Tim SchallerAGE:27PO:66OV:68
Reid BoucherAGE:24PO:72OV:67
Sam BennettAGE:22PO:70OV:66
*Jesperi KotkaniemiAGE:17PO:68OV:64
Josh LeivoAGE:25PO:68OV:64
Stefan NoesenAGE:25PO:65OV:62
Matt ReadAGE:32PO:63OV:61
Peter CehlarikAGE:23PO:67OV:60
Brett SutterAGE:31PO:64OV:59
Hampus GustafssonAGE:24PO:54OV:54
Auston MatthewsAGE:20PO:84OV:75
Brian BoyleAGE:33PO:76OV:74
Mikael GranlundAGE:26PO:75OV:71
Markus GranlundAGE:25PO:73OV:68
Adam LowryAGE:25PO:72OV:68
Tim SchallerAGE:27PO:66OV:68
Vladimir SobotkaAGE:30PO:68OV:67
Sam BennettAGE:22PO:70OV:66
*Jesperi KotkaniemiAGE:17PO:68OV:64
Sam CarrickAGE:26PO:68OV:63
T.J. TynanAGE:26PO:65OV:62
*Brooks MacekAGE:26PO:67OV:61
*Logan BrownAGE:20PO:65OV:61
Matt ReadAGE:32PO:63OV:61
Emil PetterssonAGE:24PO:63OV:60
Brett SutterAGE:31PO:64OV:59
Rourke ChartierAGE:22PO:61OV:57
Landon FerraroAGE:26PO:59OV:56
Hampus GustafssonAGE:24PO:54OV:54
Brent BurnsAGE:33PO:76OV:77
Brian BoyleAGE:33PO:76OV:74
Patric HornqvistAGE:31PO:77OV:71
Mikael GranlundAGE:26PO:75OV:71
Joel ArmiaAGE:25PO:74OV:70
Markus GranlundAGE:25PO:73OV:68
Mikkel BoedkerAGE:28PO:69OV:68
Reid BoucherAGE:24PO:72OV:67
Steve BernierAGE:33PO:66OV:66
Josh LeivoAGE:25PO:68OV:64
Stefan NoesenAGE:25PO:65OV:62
T.J. TynanAGE:26PO:65OV:62
Yannick WeberAGE:29PO:59OV:62
*Brooks MacekAGE:26PO:67OV:61
Matt ReadAGE:32PO:63OV:61
Landon FerraroAGE:26PO:59OV:56

Défense #1Défense #2Gardien
Brent BurnsAGE:33PO:76OV:77
Brian BoyleAGE:33PO:76OV:74
Dmitry OrlovAGE:26PO:66OV:73
Roman PolakAGE:32PO:64OV:73
*Cale MakarAGE:19PO:70OV:72
Tyler MyersAGE:28PO:66OV:72
Niklas KronwallAGE:37PO:65OV:70
*Miro HeiskanenAGE:18PO:68OV:68
Tim SchallerAGE:27PO:66OV:68
Jacob LarssonAGE:21PO:61OV:65
Jacob MacDonaldAGE:25PO:62OV:64
Yannick WeberAGE:29PO:59OV:62
Joey LaLeggiaAGE:26PO:61OV:61
Matt IrwinAGE:30PO:58OV:61
Matt TennysonAGE:28PO:56OV:61
*Logan StanleyAGE:20PO:55OV:60
Andrew CampbellAGE:30PO:53OV:60
Rob O'GaraAGE:24PO:53OV:58
Vincent LoVerdeAGE:29PO:52OV:57
Tuukka RaskAGE:31PO:79OV:76
Jack CampbellAGE:26PO:78OV:73
*Mitch GillamAGE:25PO:68OV:64
John MuseAGE:29PO:65OV:62
Zane McIntyreAGE:25PO:59OV:59
Jake PatersonAGE:24PO:46OV:48

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
Andrew MillerPenguins
Benoit PouliotPenguins
Blake HeinrichPenguins2013145
Brendan De JongPenguins2017196
Brett DavisPenguins2017175
Graeme ClarkePenguins201999
Hugo AlnefeltPenguins2019101
IVAN FEDOTOVPenguins2015187
Jack MalonePenguins2019193
Jamie McBainPenguins
John BeecherPenguins201941
Kody ClarkPenguins201865
Mackenze StewartPenguins2014192
Marian GaborikPenguins
Matej MachovskyPenguins
Samuel FagemoPenguins201952
Shane PrincePenguins
Simon JohanssonPenguins2018166
Spencer KnightPenguins201911
TATE OLSONPenguins2015195
Vincent DesharnaisPenguins2016198

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
2020PIT PIT PIT COL PIT COL PIT FLA PIT
2021PIT PIT PIT PIT PIT PIT PIT PIT
2022PIT PIT PIT PIT PIT PIT PIT PIT
2023PIT PIT PIT PIT PIT PIT PIT PIT
2024PIT PIT PIT PIT PIT PIT PIT PIT



[2020-04-06 17:04:52] - New Record for Team's Most Shots (49) in 1 Game for Penguins!
[2020-02-13 20:35:35] - New Record for Team's Most Shots Blocked (26) in 1 Game for Penguins!
[2020-02-10 20:03:09] - TRADE : From Panthers to Penguins : Y:2020-RND:4-COL, Y:2020-RND:6-FLA.
[2020-02-10 20:03:09] - TRADE : From Penguins to Panthers : Marcus Foligno (68), Y:2020-RND:7-PIT.
[2019-11-30 12:21:22] - Cale Makar was added to Penguins.
[2019-09-30 18:15:46] - Niklas Kronwall has been selected as assistant for Penguins.
[2019-09-30 18:15:46] - Brent Burns is no longer as assistant for Penguins.
[2019-09-30 18:15:46] - Brent Burns has been selected as captain for Penguins.
[2019-09-30 18:15:46] - Unknown Player is no longer captain for Penguins.
[2019-09-22 11:35:10] - TRADE : From Wild to Penguins : Adam Lowry (69), Y:2020-RND:6-COL.
[2019-09-22 11:35:10] - TRADE : From Penguins to Wild : Keaton Middleton (59), IAKOV TRENIN (P), Y:2020-RND:3-PIT.
[2019-09-10 15:28:35] - Brooks Macek signed with Penguins for 900 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:28:35] - Brooks Macek was added to Penguins.
[2019-09-10 15:26:22] - John Muse signed with Penguins for 1 000 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:26:22] - John Muse was added to Penguins.
[2019-09-10 15:25:26] - Kevin Porter signed with Penguins for 900 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:25:26] - Kevin Porter was added to Penguins.
[2019-09-10 15:25:10] - Greg Carey signed with Penguins for 1 000 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:25:10] - Greg Carey was added to Penguins.
[2019-09-08 15:33:56] - Seattle Thunderbirds hired Dave Hakstol for 60 000 $ for 1 year(s).
[2019-09-08 15:24:35] - Emil Pettersson signed with Penguins for 700 000 $ for 1 year(s).
[2019-09-08 15:24:35] - Emil Pettersson was added to Penguins.
[2019-09-08 15:24:24] - Rob O'Gara signed with Penguins for 700 000 $ for 1 year(s).
[2019-09-08 15:24:24] - Rob O'Gara was added to Penguins.
[2019-09-08 15:24:14] - Stefan Noesen signed with Penguins for 1 500 000 $ for 1 year(s).
[2019-09-08 15:24:14] - Stefan Noesen was added to Penguins.



[2020-04-27 19:39:11] Auston Matthews from Penguins is back from Exhaustion.
[2020-04-27 19:39:11] Brian Boyle from Penguins is back from Exhaustion.
[2020-04-27 19:39:11] Brent Burns from Penguins is back from Exhaustion.
[2020-04-27 19:35:22] Penguins are expected to be under the minimum salary cap by 3 576 043 $!
[2020-04-27 19:35:16] Auston Matthews from Penguins is injured from Exhaustion.
[2020-04-27 19:35:16] Brian Boyle from Penguins is injured from Exhaustion.
[2020-04-27 19:35:16] Brent Burns from Penguins is injured from Exhaustion.
[2020-04-23 16:06:28] Successfully loaded Penguins lines done with STHS Client - 3.2.1.1
[2020-04-23 16:06:28] Jacob Larsson of Penguins was sent down to farm.
[2020-04-20 16:05:53] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2020-04-20 16:05:49] Auto Lines Function has been run for Penguins.
[2020-04-20 16:03:40] Auto Lines Function has been run for Penguins.
[2020-04-20 16:03:40] Auto Roster Partial Function has been run for Penguins.
[2020-04-20 16:03:40] Jacob Larsson of Penguins was sent to pro.
[2020-04-15 17:04:45] Penguins lines for next game are empty. Current rosters/lines are not erased. But, Seattle Thunderbirds lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2020-04-15 17:04:45] Last 7 Days Pro Star : 1 - Auston Matthews of Penguins (5-4-9) / 2 - Logan Couture of Maple Leafs (3-7-10) / 3 - Nikolaj Ehlers of Maple Leafs (6-1-7)
[2020-04-15 17:04:44] Sam Carrick from Seattle Thunderbirds has scored a Hat Trick!
[2020-04-15 17:04:43] Game 1160 - Cale Makar from Penguins is injured (Broken Ribs) and is out for 3 weeks.
[2020-04-15 16:54:47] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-14 17:33:51] Penguins lines for next game are empty. Current rosters/lines are not erased. But, Seattle Thunderbirds lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2020-04-14 17:27:12] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-14 17:27:12] Auto Lines Function has been run for Penguins.
[2020-04-11 10:13:26] Brent Burns from Penguins is back from Exhaustion.
[2020-04-11 10:10:13] Auto Lines Function has been run for Penguins.
[2020-04-09 17:13:13] Brent Burns from Penguins is injured from Exhaustion.
[2020-04-09 17:09:46] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-08 16:33:13] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-06 17:07:19] Yannick Weber from Seattle Thunderbirds is back from Upper Body Injury.
[2020-04-06 17:04:52] New Record for Team's Most Shots (49) in 1 Game for Penguins!
[2020-04-03 21:42:58] Auto Lines Function has been run for Seattle Thunderbirds.



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
201982263606644213246-3341142001321108121-1341121605323105125-20822133535663139848012273578397893867275992561016721683923.21%2535379.05%5942183751.28%1029200451.35%591118150.04%1749100317837391446715
Total Saison Régulière82263606644213246-3341142001321108121-1341121605323105125-20822133535663139848012273578397893867275992561016721683923.21%2535379.05%5942183751.28%1029200451.35%591118150.04%1749100317837391446715