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Pittsburgh Penguins
GP: 16 | W: 8 | L: 8 | OTL: 0 | P: 20
GF: 46 | GA: 49 | PP%: 10.71% | PK%: 79.10%
DG: Jeff | Morale : 40 | Moyenne d’équipe : 77
Prochains matchs #236 vs New Jersey Devils

Centre de jeu
New York Rangers
6-7-4, 21pts
2
0 Pittsburgh Penguins
8-8-0, 20pts
Team Stats
L1SéquenceW1
1-5-2Fiche domicile3-5-0
5-2-2Fiche visiteur5-3-0
4-4-2Derniers 10 matchs5-5-0
2.35Buts par match 2.88
3.12Buts contre par match 3.06
20.00%Pourcentage en avantage numérique10.71%
84.48%Pourcentage en désavantage numérique79.10%
Pittsburgh Penguins
8-8-0, 20pts
2
1 New Jersey Devils
7-7-2, 22pts
Team Stats
W1SéquenceOTL1
3-5-0Fiche domicile4-4-2
5-3-0Fiche visiteur3-3-0
5-5-0Derniers 10 matchs5-4-1
2.88Buts par match 2.44
3.06Buts contre par match 2.50
10.71%Pourcentage en avantage numérique13.33%
79.10%Pourcentage en désavantage numérique85.48%
New Jersey Devils
7-7-2, 22pts
Jour 42
Pittsburgh Penguins
8-8-0, 20pts
Statistiques d’équipe
OTL1SéquenceW1
4-4-2Fiche domicile3-5-0
3-3-0Fiche visiteur5-3-0
5-4-110 derniers matchs5-5-0
2.44Buts par match 2.88
2.50Buts contre par match 2.88
13.33%Pourcentage en avantage numérique10.71%
85.48%Pourcentage en désavantage numérique79.10%
Pittsburgh Penguins
8-8-0, 20pts
Jour 45
New York Rangers
6-7-4, 21pts
Statistiques d’équipe
W1SéquenceL1
3-5-0Fiche domicile1-5-2
5-3-0Fiche visiteur5-2-2
5-5-010 derniers matchs4-4-2
2.88Buts par match 2.35
3.06Buts contre par match 2.35
10.71%Pourcentage en avantage numérique20.00%
79.10%Pourcentage en désavantage numérique84.48%
Pittsburgh Penguins
8-8-0, 20pts
Jour 48
New York Islanders
7-9-1, 20pts
Statistiques d’équipe
W1SéquenceL4
3-5-0Fiche domicile3-4-1
5-3-0Fiche visiteur4-5-0
5-5-010 derniers matchs5-5-0
2.88Buts par match 2.35
3.06Buts contre par match 2.35
10.71%Pourcentage en avantage numérique16.42%
79.10%Pourcentage en désavantage numérique80.65%
Meneurs d'équipe
Buts
Matt Boldy
8
Passes
Kasperi Kapanen
13
Points
Matt Boldy
16
Plus/Moins
Matt Boldy
6
Victoires
Connor Hellebuyck
7
Pourcentage d’arrêts
Petr Mrazek
0.9

Statistiques d’équipe
Buts pour
46
2.88 GFG
Tirs pour
491
30.69 Avg
Pourcentage en avantage numérique
10.7%
6 GF
Début de zone offensive
38.3%
Buts contre
49
3.06 GAA
Tirs contre
468
29.25 Avg
Pourcentage en désavantage numérique
79.1%%
14 GA
Début de la zone défensive
37.5%
Informations de l'équipe

Directeur généralJeff
DivisionNortheast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomPPG Paints Arena
Capacité18,000
Assistance14,538
Billets de saison7,740


Informations de la formation

Équipe Pro21
Équipe Mineure28
Limite contact 49 / 250
Espoirs62


Finance

Revenu annuel à ce jour8,540,081$
Dépenses annuelles à ce jour14,732,899$
Revenus de la saison estimés34,160,324$
Dépenses de la saison estimées52,822,833$
Compte bancaire actuel133,722,771$
Compte bancaire projeté115,350,964$


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 SPÂgeContratSalaire
1Jake Guentzel0X100.0092448396559092886986917289748055408103015,250,000$
2Jack Hughes0X100.0058389196589399917591906692887440408102414,680,000$
3Jordan Kyrou0X100.0057458488758893896790907087747455408002717,500,000$
4Kasperi Kapanen0X100.0078448591708686837990907082777955408002817,500,000$
5Matt Boldy0X100.0063528584758995857085907285697855407902414,680,000$
6Seth Jarvis (R)0X100.0081428699539294787383857083677055407802324,680,000$
7Ryan Nugent-Hopkins0X100.0056439594679095819081817179807755407703213,600,000$
8Joel Eriksson Ek0X100.0089508476828990749280787573778455407602821,350,000$
9Nick Ritchie0X100.009264686293848473707771716778785540720292550,000$
10Rasmus Asplund0X100.006145848273818066676973737172745540700272500,000$
11Tom Kuhnhackl0X100.007643767472807569637369656981675540690331850,000$
12Dominic Toninato0X100.007847747276777964786765706680725540680312500,000$
13Josh Morrissey0X100.0093467885809898796984748873797455408203034,285,715$
14Brandon Carlo0X100.0091589077998994757483678466778955408002813,000,000$
15Martin Fehervary0X100.00995084838591997550777083697186554080N02513,480,000$
16Calen Addison0X100.005938859963829082538773727873755540760251700,000$
17Vladislav Gavrikov0X100.0073528773938586735075678266787555407502911,350,000$
18Jonas Siegenthaler0X100.0062558473958184705073668064778455407402811,200,000$
Rayé
1Juuso Valimaki0X100.005853817589798273507664766471705540720263500,000$
Équipe Mineure
1Kirill Marchenko (R)0X100.005942848475908280608285718170805540760243800,000$
2Marco Rossi (R)0X100.0061408389558989758280786478687855407402331,750,000$
3Ridly Greig (R)0X100.0088496689698593698073757775656855407402221,000,000$
4Bobby Brink (R)0X100.0058338493508383697373777176686955407202321,000,000$
5Matt Coronato (R)0X100.0055458388618880717072777077657555407202231,500,000$
6Axel Jonsson-Fjallby0X100.006944797573778563586665726776775540680271800,000$
7Dominik Simon0X100.007544757764757665676969676978665540680301560,000$
8Jiri Kulich (R)0X100.0056357889588080637768716472636355406802131,250,000$
9Greg McKegg0X100.006446756867777664796864636581725540660331500,000$
10Oskar Sundqvist0X100.007050766879727263756764656577705540660312500,000$
11Martin Frk0X100.005846756578756962556366656578705540650311700,000$
12Trey Fix-Wolansky0X100.005735807757707060526261736475695540650262600,000$
13Joe Morrow0X100.006747867190808272507366766380835540730321950,000$
14Kris Letang0X100.008150676690818263506759725788865540720381650,000$
15Nick DeSimone0X100.006044817477717970507264746279795540700303800,000$
16NICLAS ALMARI0X100.005545827876606065487363846272825240700271250,000$
17Paul LaDue0X100.007148786883717166506762666079725540670321650,000$
18Juuso Riikola0X100.008840827450697162506461675878675540660312500,000$
19Dennis Rasmussen0X100.006047816477738161776463656281765540650341750,000$
20Tomas Nosek0X100.005947756481767860726664686278685540650322700,000$
21Jack Studnicka0X100.007342797075728060695661676375685540640262700,000$
22Kyle Criscuolo0X100.006035757750687757616661686379605540640331675,000$
23EETU PELTOLA0X100.005648746986606062486963745969695240660251275,000$
24Jack Rathbone0X100.005435818458687661506161646273705540650261600,000$
25Ethan Prow0X100.005140847560657360505662655978725540640321650,000$
26Ashton Sautner0X100.006715827655686760506059645865607540630311650,000$
MOYENNE D’ÉQUIPE100.00694481797280827064737171697574554072
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 SPÂgeContratSalaire
1Connor Hellebuyck0100.007487878683858684848584816855408103237,000,000$
2Petr Mrazek0100.008282858284848584878483826855408003323,600,000$
Rayé
Équipe Mineure
1Reto Berra0100.007065708677818178778179897055407603811,050,000$
2STEFANOS LEKKAS0100.00796060747877787878777874625240720291275,000$
MOYENNE D’ÉQUIPE100.0076747682818283818282818267544077
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Matt BoldyPittsburgh PenguinsLW16881662210103162194012.90%431519.720001380336560047.06%1796001.0100200120
2Kasperi KapanenPittsburgh PenguinsC1621315-51351524406165.00%725816.13145845000121148.85%26256001.1600001000
3Jack HughesPittsburgh PenguinsLW166713-30091647163812.77%425616.06325747000002060.00%1093001.0100000101
4Jake GuentzelPittsburgh PenguinsLW163811-28033184011297.50%727817.421456470003180028.57%21147000.7900000100
5Joel Eriksson EkPittsburgh PenguinsC16651163115302533121918.18%831019.430001381123592049.87%37334000.7100021010
6Ryan Nugent-HopkinsPittsburgh PenguinsC1645940012282872114.29%729618.560003530226301054.17%19244100.6100000120
7Jordan KyrouPittsburgh PenguinsRW163470601517398217.69%425415.92000340000001025.00%887000.5500000120
8Seth JarvisPittsburgh PenguinsRW16437-780221930161513.33%325115.71000034000000062.50%843000.5600000001
9Josh MorrisseyPittsburgh PenguinsD16246152104928299116.90%2039724.83101552112249010%0817000.3000101011
10Rasmus AsplundPittsburgh PenguinsRW162354401012174811.76%721413.3900001000001050.00%1243000.4700000000
11Calen AddisonPittsburgh PenguinsD16044-30081914890%1725215.7700013600003000%087000.3200000000
12Martin FehervaryPittsburgh PenguinsD1604401004128146130%2030619.1800002000035000%057000.2600000000
13Nick RitchiePittsburgh PenguinsRW16314227525122261213.64%616310.24000062024280077.78%932000.4900001110
14Brandon CarloPittsburgh PenguinsD16033320223520880%1934921.8400001000265000%0115000.1700000000
15Tom KuhnhacklPittsburgh PenguinsLW162131275105187911.11%11267.89000030002300100.00%110000.4800001100
16Vladislav GavrikovPittsburgh PenguinsD16033611592214730%1828517.8700000000034000%027000.2100001000
17Jonas SiegenthalerPittsburgh PenguinsD16022-12072216310%1123414.6400000011223000%0311000.1700000000
18Dominic ToninatoPittsburgh PenguinsC1610119591482912.50%41418.85000010000140046.67%4521000.1400001000
Statistiques d’équipe totales ou en moyenne288467812413232603363754911552829.37%167469516.3061016354504812314258250.10%95893110100.5300327793
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
1Connor HellebuyckPittsburgh Penguins117400.8933.1866120353281360000115100
2Petr MrazekPittsburgh Penguins51400.9002.812990014140690000511100
Statistiques d’équipe totales ou en moyenne168800.8953.0696120494682050001616200


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Brandon Carlo (contrat à 1 volet)Pittsburgh PenguinsD281996-11-26USANo216 Lbs6 ft5NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,000,000$2,345,745$0$0$No---------------------------Lien
Calen AddisonPittsburgh PenguinsD252000-04-11CANNo172 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm700,000$547,340$0$0$No---------------------------Lien
Connor Hellebuyck (contrat à 1 volet)Pittsburgh PenguinsG321993-05-19USANo207 Lbs6 ft4NoNoFree AgentNoNo32025-10-03FalseFalsePro & Farm7,000,000$5,473,404$0$0$No7,000,000$7,000,000$-------7,000,000$7,000,000$-------NoNo-------Lien
Dominic ToninatoPittsburgh PenguinsC311994-03-09USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$390,957$0$0$No500,000$--------500,000$--------No--------Lien
Jack Hughes (contrat à 1 volet)Pittsburgh PenguinsLW242001-05-14USANo176 Lbs5 ft11NoNoProspectNoNo12025-09-30FalseFalsePro & Farm4,680,000$3,659,362$0$0$No---------------------------Lien / Lien NHL
Jake Guentzel (contrat à 1 volet)Pittsburgh PenguinsLW301994-10-06USANo181 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,250,000$4,105,053$0$0$No---------------------------Lien
Joel Eriksson EkPittsburgh PenguinsC281997-01-29SWENo207 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,350,000$1,055,585$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Jonas SiegenthalerPittsburgh PenguinsD281997-05-06CHENo218 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,200,000$938,298$0$0$No---------------------------Lien
Jordan Kyrou (contrat à 1 volet)Pittsburgh PenguinsRW271998-05-05CANNo174 Lbs6 ft0NoNoFree AgentNoNo12025-10-13FalseFalsePro & Farm7,500,000$5,864,362$0$0$No---------------------------Lien
Josh Morrissey (contrat à 1 volet)Pittsburgh PenguinsD301995-03-28CANNo194 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,285,715$3,351,064$0$0$No4,285,715$4,285,715$-------4,285,715$4,285,715$-------NoNo-------Lien
Juuso ValimakiPittsburgh PenguinsD261998-10-06FINNo212 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$390,957$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Kasperi Kapanen (contrat à 1 volet)Pittsburgh PenguinsC281996-07-23FINNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm7,500,000$5,864,362$0$0$No---------------------------Lien
Martin Fehervary (contrat à 1 volet)Pittsburgh PenguinsD251999-10-06SVKNo203 Lbs6 ft2YesNoFree AgentNoNo12025-10-19FalseFalsePro Only3,480,000$2,721,064$0$0$No---------------------------Lien
Matt Boldy (contrat à 1 volet)Pittsburgh PenguinsLW242001-04-05USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm4,680,000$3,659,362$0$0$No---------------------------Lien
Nick RitchiePittsburgh PenguinsRW291995-12-05CANNo236 Lbs6 ft3NoNoFree AgentNoNo22025-11-01FalseFalsePro & Farm550,000$430,053$0$0$No550,000$--------550,000$--------No--------
Petr Mrazek (contrat à 1 volet)Pittsburgh PenguinsG331992-02-14CZENo187 Lbs6 ft2NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm3,600,000$2,814,894$0$0$No3,600,000$--------3,600,000$--------No--------Lien
Rasmus AsplundPittsburgh PenguinsRW271997-12-03SWENo185 Lbs5 ft11NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$390,957$0$0$No500,000$--------500,000$--------No--------Lien
Ryan Nugent-Hopkins (contrat à 1 volet)Pittsburgh PenguinsC321993-04-12CANNo194 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,600,000$2,814,894$0$0$No---------------------------Lien
Seth Jarvis (contrat à 1 volet)Pittsburgh PenguinsRW232002-02-01CANYes174 Lbs5 ft10NoNoProspectNoNo22025-10-07FalseFalsePro & Farm4,680,000$3,659,362$0$0$No4,680,000$--------4,680,000$--------No--------Lien
Tom KuhnhacklPittsburgh PenguinsLW331992-01-21DEUNo196 Lbs6 ft2NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm850,000$664,628$0$0$No---------------------------
Vladislav GavrikovPittsburgh PenguinsD291995-11-21RUSNo214 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,350,000$1,055,585$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2128.19197 Lbs6 ft11.573,178,844$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
66,755,715$22,965,715$11,785,715$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake GuentzelKasperi KapanenSeth Jarvis31005
2Jack HughesRyan Nugent-HopkinsJordan Kyrou31005
3Matt BoldyJoel Eriksson EkRasmus Asplund31005
4Tom KuhnhacklDominic ToninatoNick Ritchie7023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyBrandon Carlo40023
2Martin FehervaryVladislav Gavrikov34023
3Jonas SiegenthalerCalen Addison26023
4Jonas SiegenthalerCalen Addison0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake GuentzelKasperi KapanenJack Hughes60005
2Matt BoldyJoel Eriksson EkJordan Kyrou40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Nugent-HopkinsJosh Morrissey60014
2Seth JarvisCalen Addison40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joel Eriksson EkMatt Boldy60041
2Ryan Nugent-HopkinsNick Ritchie40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyBrandon Carlo60140
2Martin FehervaryVladislav Gavrikov40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joel Eriksson Ek60050Josh MorrisseyBrandon Carlo60140
2Ryan Nugent-Hopkins40050Martin FehervaryVladislav Gavrikov40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joel Eriksson EkSeth Jarvis60014
2Ryan Nugent-HopkinsMatt Boldy40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyMartin Fehervary60023
2Calen AddisonBrandon Carlo40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack HughesKasperi KapanenJake GuentzelRyan Nugent-HopkinsJosh Morrissey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake GuentzelRyan Nugent-HopkinsJordan KyrouBrandon CarloJosh Morrissey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Ritchie, Matt Boldy, Jordan KyrouNick Ritchie, Jordan KyrouMatt Boldy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonas Siegenthaler, Calen Addison, Vladislav GavrikovMartin FehervaryJonas Siegenthaler, Vladislav Gavrikov
Tirs de pénalité
Jack Hughes, Jake Guentzel, Jordan Kyrou, Matt Boldy, Seth Jarvis
Gardien
#1 : Petr Mrazek, #2 : Connor Hellebuyck
Lignes d’attaque personnalisées en prolongation
Kasperi Kapanen, Jack Hughes, Ryan Nugent-Hopkins, Jake Guentzel, Joel Eriksson Ek, Matt Boldy, Seth Jarvis, Jordan Kyrou, Dominic Toninato, Nick Ritchie
Lignes de défense personnalisées en prolongation
Josh Morrissey, Calen Addison, Brandon Carlo, Martin Fehervary, Vladislav Gavrikov


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
TotalDomicileVisiteur
# 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
1Boston Bruins11000000422000000000001100000042231.000461000004026106100291113136116.67%40100.00%019136452.47%17235648.31%11723050.87%2010229168
2Carolina Hurricanes1010000023-11010000023-10000000000000.0002350000203171410032101832300.00%4250.00%019136452.47%17235648.31%11723050.87%2314188178
3Chicago Blackhawks1010000013-21010000013-20000000000000.00012300001019658032111020100.00%50100.00%019136452.47%17235648.31%11723050.87%199229188
4Florida Panthers1010000034-1000000000001010000034-100.000369000300391413120308819700.00%4250.00%219136452.47%17235648.31%11723050.87%21112091810
5Hamilton Mustangs1010000034-1000000000001010000034-100.00035800102036121113033156175120.00%3233.33%019136452.47%17235648.31%11723050.87%2113228157
6Montreal Canadiens11000000642000000000001100000064231.00061117001230461110250241045192150.00%5260.00%019136452.47%17235648.31%11723050.87%2314207168
7New Jersey Devils10001000211000000000001000100021120.6672460010012891342297815500.00%40100.00%019136452.47%17235648.31%11723050.87%1910229189
8New York Islanders11000000532110000005320000000000031.000581300221037121312034810204125.00%5180.00%019136452.47%17235648.31%11723050.87%2214218157
9New York Rangers1010000002-21010000002-20000000000000.00000000000019811002381320400.00%4175.00%019136452.47%17235648.31%11723050.87%1910219189
10Ottawa Senators10001000541100010005410000000000020.667571200301128146533492717200.00%6183.33%019136452.47%17235648.31%11723050.87%2212219168
11Philadelphia Flyers1010000014-3000000000001010000014-300.00011200001027999026121113300.00%30100.00%019136452.47%17235648.31%11723050.87%2011239167
12Quebec Nordiques1010000035-21010000035-20000000000000.000358001020371072003379334125.00%20100.00%019136452.47%17235648.31%11723050.87%2414198167
13St Louis Blues11000000431110000004310000000000031.0004711003100246144030101726200.00%6183.33%119136452.47%17235648.31%11723050.87%2112219178
14Tampa Bay Lightning1010000024-21010000024-20000000000000.00024600110034131560238625200.00%3166.67%019136452.47%17235648.31%11723050.87%2415187168
15Toronto Maple Leafs10001000211000000000001000100021120.6672350000112531110128192322300.00%4175.00%119136452.47%17235648.31%11723050.87%189238178
16Winnipeg Jets10001000321000000000001000100032120.6673690011013571585281410253133.33%50100.00%019136452.47%17235648.31%11723050.87%2414198178
Total1648040004649-3825010002227-58230300024222200.41746781240014101844911511731561146816723433656610.71%671479.10%419136452.47%17235648.31%11723050.87%348202339142275136
_Since Last GM Reset1648040004649-3825010002227-58230300024222200.41746781240014101844911511731561146816723433656610.71%671479.10%419136452.47%17235648.31%11723050.87%348202339142275136
_Vs Conference1337030003841-3614010001721-47230200021201150.385386310100108173413132139136637813219726550510.00%511374.51%319136452.47%17235648.31%11723050.87%282165276114221111
_Vs Division613020002022-22010100089-1412010001213-170.389203252006210219959548241787212112119315.79%23673.91%119136452.47%17235648.31%11723050.87%13077130519948

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1620W1467812449146816723433600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
164840004649
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
82510002227
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
82330002422
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
56610.71%671479.10%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
151173156111410184
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
19136452.47%17235648.31%11723050.87%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
348202339142275136


Derniers matchs 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
13Pittsburgh Penguins6Montreal Canadiens4WSommaire du match
317Pittsburgh Penguins3Hamilton Mustangs4LSommaire du match
531Pittsburgh Penguins1Philadelphia Flyers4LSommaire du match
745Ottawa Senators4Pittsburgh Penguins5WXSommaire du match
963Tampa Bay Lightning4Pittsburgh Penguins2LSommaire du match
1171Pittsburgh Penguins2Toronto Maple Leafs1WXSommaire du match
1387Quebec Nordiques5Pittsburgh Penguins3LSommaire du match
15103Chicago Blackhawks3Pittsburgh Penguins1LSommaire du match
17114St Louis Blues3Pittsburgh Penguins4WSommaire du match
19128Pittsburgh Penguins3Winnipeg Jets2WXSommaire du match
23147Pittsburgh Penguins4Boston Bruins2WSommaire du match
26160Pittsburgh Penguins3Florida Panthers4LSommaire du match
29174Carolina Hurricanes3Pittsburgh Penguins2LSommaire du match
32190New York Islanders3Pittsburgh Penguins5WSommaire du match
36208New York Rangers2Pittsburgh Penguins0LSommaire du match
39222Pittsburgh Penguins2New Jersey Devils1WXSommaire du match
42236New Jersey Devils-Pittsburgh Penguins-
45247Pittsburgh Penguins-New York Rangers-
48261Pittsburgh Penguins-New York Islanders-
50272Pittsburgh Penguins-Carolina Hurricanes-
53286Florida Panthers-Pittsburgh Penguins-
56302Boston Bruins-Pittsburgh Penguins-
60320Pittsburgh Penguins-Columbus Blue Jackets-
62331Los Angeles Kings-Pittsburgh Penguins-
64344Seattle Kraken-Pittsburgh Penguins-
66362Pittsburgh Penguins-Vegas Golden Knights-
68367Toronto Maple Leafs-Pittsburgh Penguins-
70387Pittsburgh Penguins-Tampa Bay Lightning-
72402Pittsburgh Penguins-Ottawa Senators-
73409Philadelphia Flyers-Pittsburgh Penguins-
77433Edmonton Oilers-Pittsburgh Penguins-
79447Pittsburgh Penguins-Colorado Avalanche-
81461Pittsburgh Penguins-Detroit Red Wings-
83468New York Islanders-Pittsburgh Penguins-
85479New York Rangers-Pittsburgh Penguins-
88495Pittsburgh Penguins-New Jersey Devils-
92517Pittsburgh Penguins-Anaheim Mighty Ducks-
93524Anaheim Mighty Ducks-Pittsburgh Penguins-
95538California Golden Seals-Pittsburgh Penguins-
98559Pittsburgh Penguins-California Golden Seals-
100573Pittsburgh Penguins-San Jose Sharks-
102587Vancouver Canucks-Pittsburgh Penguins-
105601Hamilton Mustangs-Pittsburgh Penguins-
108616Montreal Canadiens-Pittsburgh Penguins-
111630Pittsburgh Penguins-Quebec Nordiques-
113639Pittsburgh Penguins-Boston Bruins-
116653Pittsburgh Penguins-Florida Panthers-
120672Carolina Hurricanes-Pittsburgh Penguins-
122679Pittsburgh Penguins-Seattle Kraken-
123691Pittsburgh Penguins-Los Angeles Kings-
125707Columbus Blue Jackets-Pittsburgh Penguins-
127721Winnipeg Jets-Pittsburgh Penguins-
130739Pittsburgh Penguins-St Louis Blues-
132751Pittsburgh Penguins-Chicago Blackhawks-
134757Toronto Maple Leafs-Pittsburgh Penguins-
136777Tampa Bay Lightning-Pittsburgh Penguins-
138787Ottawa Senators-Pittsburgh Penguins-
140801Pittsburgh Penguins-Philadelphia Flyers-
144821Vegas Golden Knights-Pittsburgh Penguins-
146832Pittsburgh Penguins-Edmonton Oilers-
149848Colorado Avalanche-Pittsburgh Penguins-
151859Detroit Red Wings-Pittsburgh Penguins-
154881San Jose Sharks-Pittsburgh Penguins-
156895Pittsburgh Penguins-Vancouver Canucks-
159909Pittsburgh Penguins-New York Islanders-
161921Pittsburgh Penguins-New York Rangers-
163937New Jersey Devils-Pittsburgh Penguins-
165951Pittsburgh Penguins-Carolina Hurricanes-
167965Florida Panthers-Pittsburgh Penguins-
169980Boston Bruins-Pittsburgh Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172988Pittsburgh Penguins-Toronto Maple Leafs-
1741006Pittsburgh Penguins-Tampa Bay Lightning-
1761021Pittsburgh Penguins-Ottawa Senators-
1781032Philadelphia Flyers-Pittsburgh Penguins-
1801039Hamilton Mustangs-Pittsburgh Penguins-
1811053Pittsburgh Penguins-Hamilton Mustangs-
1831067Pittsburgh Penguins-Montreal Canadiens-
1841081Montreal Canadiens-Pittsburgh Penguins-
1861095Quebec Nordiques-Pittsburgh Penguins-
1871116Pittsburgh Penguins-Quebec Nordiques-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance39,45131,51012,93724,2818,122
Attendance PCT83.02%81.04%81.67%76.64%80.58%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 14538 - 80.76% 1,067,510$8,540,081$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
14,732,899$ 67,555,715$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 14,732,899$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
34,160,324$ 147 359,339$ 52,822,833$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
54,408,963$ 133,722,771$ 115,350,964$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jake GuentzelAGE:30PO:55OV:81
Jack HughesAGE:24PO:40OV:81
Matt BoldyAGE:24PO:55OV:79
Bobby Brink (R)AGE:23PO:55OV:72
Tom KuhnhacklAGE:33PO:55OV:69
Axel Jonsson-FjallbyAGE:27PO:55OV:68
Dominik SimonAGE:30PO:55OV:68
Oskar SundqvistAGE:31PO:55OV:66
Jack StudnickaAGE:26PO:55OV:64
Kasperi KapanenAGE:28PO:55OV:80
Ryan Nugent-HopkinsAGE:32PO:55OV:77
Joel Eriksson EkAGE:28PO:55OV:76
Marco Rossi (R)AGE:23PO:55OV:74
Ridly Greig (R)AGE:22PO:55OV:74
Dominic ToninatoAGE:31PO:55OV:68
Jiri Kulich (R)AGE:21PO:55OV:68
Greg McKeggAGE:33PO:55OV:66
Dennis RasmussenAGE:34PO:55OV:65
Tomas NosekAGE:32PO:55OV:65
Jordan KyrouAGE:27PO:55OV:80
Seth Jarvis (R)AGE:23PO:55OV:78
Kirill Marchenko (R)AGE:24PO:55OV:76
Matt Coronato (R)AGE:22PO:55OV:72
Nick RitchieAGE:29PO:55OV:72
Rasmus AsplundAGE:27PO:55OV:70
Martin FrkAGE:31PO:55OV:65
Trey Fix-WolanskyAGE:26PO:55OV:65
Kyle CriscuoloAGE:33PO:55OV:64

Défense #1Défense #2Gardien
Josh MorrisseyAGE:30PO:55OV:82
Brandon CarloAGE:28PO:55OV:80
Martin FehervaryAGE:25PO:55OV:80
Calen AddisonAGE:25PO:55OV:76
Vladislav GavrikovAGE:29PO:55OV:75
Jonas SiegenthalerAGE:28PO:55OV:74
Joe MorrowAGE:32PO:55OV:73
Juuso ValimakiAGE:26PO:55OV:72
Kris LetangAGE:38PO:55OV:72
Nick DeSimoneAGE:30PO:55OV:70
NICLAS ALMARIAGE:27PO:52OV:70
Paul LaDueAGE:32PO:55OV:67
Juuso RiikolaAGE:31PO:55OV:66
EETU PELTOLAAGE:25PO:52OV:66
Jack RathboneAGE:26PO:55OV:65
Ethan ProwAGE:32PO:55OV:64
Ashton SautnerAGE:31PO:75OV:63
Connor HellebuyckAGE:32PO:55OV:81
Petr MrazekAGE:33PO:55OV:80
Reto BerraAGE:38PO:55OV:76
STEFANOS LEKKASAGE:29PO:52OV:72

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
0x LTCsPittsburgh Penguins000Lien
1 000 000 NSHL25 Waiver BucksPittsburgh Penguins00
1x NSHL26 ODW ClaimPittsburgh Penguins000Lien
1x RFA TagPittsburgh Penguins000Lien
20x TC PTSPittsburgh Penguins000Lien
Aaron HuglenPittsburgh Penguins191250Lien
Adam JiricekPittsburgh Penguins24230Lien
Adam SykoraPittsburgh Penguins22530Lien
Akil ThomasPittsburgh Penguins18460Lien
Aleksandr KisakovPittsburgh Penguins21690Lien
Aleksi HeimosalmiPittsburgh Penguins21600Lien
Alexander NikishinPittsburgh Penguins22260Lien
Andrew StrathmannPittsburgh Penguins231520Lien
Anton JohanssonPittsburgh Penguins251920Lien
Beau AkeyPittsburgh Penguins23960Lien
Ben DanfordPittsburgh Penguins24630Lien
Brandon SvobodaPittsburgh Penguins231690Lien
Daemon HuntPittsburgh Penguins21630Lien
Daniil ProkhorovPittsburgh Penguins25490Lien
David EdstromPittsburgh Penguins23460Lien
Dmitry OvchinnikovPittsburgh Penguins201030Lien
Donovan SebrangoPittsburgh Penguins221600Lien
Elmer SoderblomPittsburgh Penguins211130Lien
Eriks MateikoPittsburgh Penguins241070Lien
Ethan GauthierPittsburgh Penguins23470Lien
Etienne MorinPittsburgh Penguins23670Lien
Filip LindbergPittsburgh Penguins211150Lien
Grigori DenisenkoPittsburgh Penguins18290Lien
Helge GransPittsburgh Penguins20360Lien
Hendrix LapierrePittsburgh Penguins20240Lien
Ilya FedotovPittsburgh Penguins211160Lien
Isak RosenPittsburgh Penguins21180Lien
Jack Hughes DOB 2003Pittsburgh Penguins22510Lien
Jayden PerronPittsburgh Penguins23720Lien
Jordan GustafsonPittsburgh Penguins221350Lien
Jordy BellerivePittsburgh Penguins18510Lien
Julius MiettinenPittsburgh Penguins24490Lien
Julius SumpfPittsburgh Penguins251350Lien
Juraj PekarcikPittsburgh Penguins231200Lien
Justin KipkiePittsburgh Penguins251640Lien
Kirill KirsanovPittsburgh Penguins22480Lien
Ludwig PerssonPittsburgh Penguins221370Lien
Martin ChromiakPittsburgh Penguins20880Lien
Matej BlumelPittsburgh Penguins221520Lien
Matyas SapovalivPittsburgh Penguins22890Lien
Max PlantePittsburgh Penguins24870Lien
Miroslav HolinkaPittsburgh Penguins25780Lien
Oliver MoorePittsburgh Penguins23160Lien
Peyton KettlesPittsburgh Penguins25570Lien
Philippe DesrosiersPittsburgh Penguins13870Lien
Prokhor PoltapovPittsburgh Penguins21500Lien
Radim MrtkaPittsburgh Penguins25250Lien
Raphael LavoiePittsburgh Penguins19230Lien
Ryan ChesleyPittsburgh Penguins22410Lien
Ryan GreenePittsburgh Penguins221120Lien
Sam O'ReillyPittsburgh Penguins24380Lien
Sampo RantaPittsburgh Penguins181050Lien
Samuel PoulinPittsburgh Penguins19340Lien
Yegor BorikovPittsburgh Penguins251060Lien
Yevgeni VolokhinPittsburgh Penguins241110Lien
Zach NehringPittsburgh Penguins231620Lien
Zion NybeckPittsburgh Penguins20770Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Pittsburgh Penguins Historique de transactions

[2026-02-07 3:08:51 PM] New Record for Team's Most Hits (33) in 1 Game for Pittsburgh Penguins!
[2026-02-05 1:28:01 PM] New Record for Team's Most Shots Blocked (19) in 1 Game for Pittsburgh Penguins!
[2026-02-05 1:28:01 PM] New Record for Team's Most Shots Blocked (19) in 1 Game for Pittsburgh Penguins!
[2026-02-03 3:12:01 PM] New Record for Team's Most Hits (25) in 1 Game for Pittsburgh Penguins!



Pas de blessure ou de suspension.


Pittsburgh Penguins Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Pittsburgh Penguins Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Pittsburgh Penguins Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Pittsburgh Penguins Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Pittsburgh Penguins Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA