Connexion

Pittsburgh Penguins
GP: 41 | W: 20 | L: 15 | OTL: 6 | P: 62
GF: 122 | GA: 107 | PP%: 22.00% | PK%: 79.29%
DG: Jeff | Morale : 40 | Moyenne d’équipe : 77
Prochains matchs #493 vs Seattle Kraken

Centre de jeu
Quebec Nordiques
14-24-3, 39pts
1
FINAL
3 Pittsburgh Penguins
20-15-6, 62pts
Team Stats
L4SéquenceW2
7-12-2Fiche domicile12-6-3
7-12-1Fiche visiteur8-9-3
2-8-0Derniers 10 matchs6-3-1
2.32Buts par match 2.98
3.27Buts contre par match 2.61
19.61%Pourcentage en avantage numérique22.00%
81.94%Pourcentage en désavantage numérique79.29%
Pittsburgh Penguins
20-15-6, 62pts
4
FINAL
2 Quebec Nordiques
14-24-3, 39pts
Team Stats
W2SéquenceL4
12-6-3Fiche domicile7-12-2
8-9-3Fiche visiteur7-12-1
6-3-1Derniers 10 matchs2-8-0
2.98Buts par match 2.32
2.61Buts contre par match 3.27
22.00%Pourcentage en avantage numérique19.61%
79.29%Pourcentage en désavantage numérique81.94%
Pittsburgh Penguins
20-15-6, 62pts
Jour 96
Seattle Kraken
22-14-5, 66pts
Statistiques d’équipe
W2SéquenceW1
12-6-3Fiche domicile9-6-5
8-9-3Fiche visiteur13-8-0
6-3-110 derniers matchs7-2-1
2.98Buts par match 2.71
2.61Buts contre par match 2.71
22.00%Pourcentage en avantage numérique23.33%
79.29%Pourcentage en désavantage numérique84.35%
Los Angeles Kings
23-15-3, 65pts
Jour 98
Pittsburgh Penguins
20-15-6, 62pts
Statistiques d’équipe
L1SéquenceW2
12-6-2Fiche domicile12-6-3
11-9-1Fiche visiteur8-9-3
6-4-010 derniers matchs6-3-1
2.61Buts par match 2.98
2.46Buts contre par match 2.98
13.19%Pourcentage en avantage numérique22.00%
81.73%Pourcentage en désavantage numérique79.29%
Pittsburgh Penguins
20-15-6, 62pts
Jour 100
California Golden Seals
13-23-5, 38pts
Statistiques d’équipe
W2SéquenceL6
12-6-3Fiche domicile6-12-2
8-9-3Fiche visiteur7-11-3
6-3-110 derniers matchs2-7-1
2.98Buts par match 2.29
2.61Buts contre par match 2.29
22.00%Pourcentage en avantage numérique15.67%
79.29%Pourcentage en désavantage numérique76.50%
Meneurs d'équipe
Jack HughesButs
Jack Hughes
22
Ryan Nugent-HopkinsPasses
Ryan Nugent-Hopkins
25
Jack HughesPoints
Jack Hughes
46
Dmitry OrlovPlus/Moins
Dmitry Orlov
12
Marc-Andre FleuryVictoires
Marc-Andre Fleury
15
Marc-Andre FleuryPourcentage d’arrêts
Marc-Andre Fleury
0.921

Statistiques d’équipe
Buts pour
122
2.98 GFG
Tirs pour
1295
31.59 Avg
Pourcentage en avantage numérique
22.0%
33 GF
Début de zone offensive
38.1%
Buts contre
107
2.61 GAA
Tirs contre
1223
29.83 Avg
Pourcentage en désavantage numérique
79.3%%
29 GA
Début de la zone défensive
39.1%
Informations de l'équipe

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


Informations de l’aréna

NomPPG Paints Arena
Capacité18,000
Assistance14,547
Billets de saison7,380


Informations de la formation

Équipe Pro22
Équipe Mineure27
Limite contact 49 / 250
Espoirs58


Finance

Revenu annuel à ce jour22,946,944$
Dépenses annuelles à ce jour29,227,320$
Revenus de la saison estimés19,668,809$
Dépenses de la saison estimées26,458,416$
Compte bancaire actuel100,126,654$
Compte bancaire projeté93,715,090$


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
Âge
Contrat
Salaire
1Jack Hughes0X100.005538919558939991759190669288740408102312,000,000$
2Jake Guentzel0X100.009242839655909288678691728972790408002925,250,000$
3Kasperi Kapanen0X100.007842859170858583779090708275790407902727,500,000$
4Jordan Kyrou0X100.00554584867588938967909070877274040790261700,000$
5Ryan Nugent-Hopkins0X100.005842979666929781898283738179760407803123,600,000$
6Nino Niederreiter0X100.009150808181908882698383758079750407803123,600,000$
7Matt Boldy (R)0X100.006352858475879585708590728566780407802311,500,000$
8Bryan Rust (A)0X100.008145788161878685618188708580730407703211,700,000$
9Joel Eriksson Ek0X100.008750847682889074908078737375840407602731,350,000$
10Andre Burakovsky0X100.005749828075858479658081707778770407502941,750,000$
11Evgeni Malkin0X100.006142737770848582948179617688770407403713,200,000$
12Nick Ritchie0X100.00926466629184847368777169677778040720281500,000$
13Josh Morrissey0X100.009144788580979679698474867378740408102944,285,715$
14Brandon Carlo0X100.009158907798879275748367826675890407902723,000,000$
15Martin Fehervary (R)0X100.00994984838291997550777080696886040790241700,000$
16Dmitry Orlov0X100.008448907981879175507568786980840407703213,750,000$
17Vladislav Gavrikov0X100.007351877391858673507567826677750407502821,350,000$
18Jonas Siegenthaler0X100.006255847393818470507366806475840407402721,200,000$
Rayé
1Rasmus Asplund0X100.00614584827381806667697373717274040700263500,000$
2Juuso Valimaki0X100.00585381758979827350766476647170040720254500,000$
Équipe Mineure
1Seth Jarvis (R)0X100.007839839753899475708082708064670407602211,500,000$
2Andrei Loktionov0X100.005642858557818373777472647083750407103411,100,000$
3Ridly Greig (R)0X100.008445668565818965766970757165650407102131,000,000$
4Jesse Ylonen (R)0X100.00574284817381816769737070707074040700242800,000$
5Dominic Toninato0X100.00774673757576786577666871697971040690303500,000$
6Tyler Johnson0X100.00624181845684866687716869718164040690332700,000$
7Bobby Brink (R)0X100.005530819050808066707071717368660406902231,000,000$
8Dominik Simon0X100.00764276786274776668707065707664040680292560,000$
9Axel Jonsson-Fjallby0X100.00674280747375836156646573657578040680262800,000$
10Brandon Yip0X100.00714274687078756766696559659382040670391500,000$
11Drew O'Connor0X100.00564780737973816162636571657276040670261600,000$
12Mathias Brome0X100.00554082766576796064646367657673040660291500,000$
13Joe Morrow0X100.00664689749179817150746575647982040730312950,000$
14Steve Kampfer0X100.00684388727385866850706174648581040720351650,000$
15Nick DeSimone0X100.00614282747569776850706572637977040690294800,000$
16Kevin Czuczman0X100.00564677668279816769706269598070040680331500,000$
17Michal Jordan0X100.00564782668376796650656168598181040680331505,000$
18Juuso Riikola0X100.00914284774972746550676166617766040670303500,000$
19Jayson Megna0X100.00754476687073726765686561668379040660341500,000$
20Oskar Sundqvist0X100.00705076687972726375676465657770040660303500,000$
21Anthony Angello0X100.00824770658766656052626370627568040650281500,000$
22Jack Studnicka (R)0X100.00734279707572806069566167637568040640253700,000$
23Trey Fix-Wolansky0X100.00583581775570716050616271657570040640253600,000$
24Calen Addison (R)0X95.08563585976079878250857069757073040740242700,000$
25Jack Rathbone0X100.00543581845868766150616164627370040650252600,000$
MOYENNE D’ÉQUIPE99.8970458179728184726574717171767504072
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
Âge
Contrat
Salaire
1Marc-Andre Fleury0100.008184838283868683828684947604081N03914,000,000$
2Reto Berra0100.0074687086778282797882808970040770371850,000$
Rayé
Équipe Mineure
1Anton Khudobin0100.00766770767981817978818090730407603811,750,000$
2Christopher Gibson0100.0082606080767475777774755959040710311550,000$
MOYENNE D’ÉQUIPE100.007870718179818180798180837004076
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’équipe
POS
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
1Jack HughesPittsburgh PenguinsLW412224461202137137378516.06%1573117.8591120291360001132042.86%70387001.2616000512
2Jordan KyrouPittsburgh PenguinsRW41212344030101541142429914.79%1067816.556111723124000036032.65%493012001.3026101434
3Ryan Nugent-HopkinsPittsburgh PenguinsC4192534455208011326907.96%1778419.1341115161310002701150.98%7142713000.8700100231
4Matt BoldyPittsburgh PenguinsLW411420341126102655133338510.53%1777018.78459139611261143156.67%303412000.8815020510
5Kasperi KapanenPittsburgh PenguinsC4171926-318045759732757.22%2068216.65325899000071051.08%554279000.7611000000
6Jake GuentzelPittsburgh PenguinsLW38121224-5100854913437578.96%1768317.98156141320001172255.56%273018000.7033000232
7Joel Eriksson EkPittsburgh PenguinsC41814221022087695693714.29%2175918.5333659410131121053.39%738417000.5800000122
8Josh MorrisseyPittsburgh PenguinsD411202157315103696524231.54%57105525.74178101460112109100%01342000.4000003001
9Bryan RustPittsburgh PenguinsRW4159141128062275718478.77%2063515.501128100000001045.45%221111000.4402000001
10Nino NiederreiterPittsburgh PenguinsRW417310-3260843749172614.29%1462415.231014100002490150.00%24108000.3200000003
11Evgeni MalkinPittsburgh PenguinsC41641066026216423449.38%53839.360000130001170156.62%136107000.5200000011
12Brandon CarloPittsburgh PenguinsD412796351584764117224.88%67100524.520332940113130000%0532100.1800102022
13Andre BurakovskyPittsburgh PenguinsLW4136958019426922444.35%841310.09000190000481041.18%17147000.4300000010
14Martin FehervaryPittsburgh PenguinsD410771239593574116210%4877018.7901126000080000%0635000.1801001001
15Dmitry OrlovPittsburgh PenguinsD411451211545433118193.23%4071217.3801118000016000%0918000.1400001001
16Jonas SiegenthalerPittsburgh PenguinsD41044-4135224719670%2954713.3600000000035000%0215000.1500100000
17Vladislav GavrikovPittsburgh PenguinsD41134-12410525424864.17%2960314.7100005000184000%0426000.1300101000
18Nick RitchiePittsburgh PenguinsRW402133140582423658.70%33087.7200000000000066.67%612000.1900000000
19Juuso ValimakiPittsburgh PenguinsD2000000100000%063.310000000000000%00000000000000
20Rasmus AsplundPittsburgh PenguinsRW2000000010000%0136.590000000000000%01000000000000
Statistiques d’équipe totales ou en moyenne738121205326703908094890412953917929.34%4371217016.4933619413612122352291219651.49%2387276291100.54824529191721
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Marc-Andre FleuryPittsburgh Penguins31151150.9212.3418462072909420010.375163110341
2Reto BerraPittsburgh Penguins115410.9072.716420029313145000.66761031010
Statistiques d’équipe totales ou en moyenne42201560.9172.44248820101122256501224141351


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’équipe
POS
Âge
Date de naissance
Pays
Recrue
Poids
Taille
Non-échange
Disponible pour échange
Acquis Par
Date de la Dernière Transaction
Ballotage forcé
Waiver Possible
Contrat
Date du Signature du Contrat
Forcer UFA
Rappel d'urgence
Type
Salaire actuel
Salaire restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire année 2
Salaire année 3
Salaire année 4
Salaire année 5
Salaire année 6
Salaire année 7
Salaire année 8
Salaire année 9
Salaire année 10
Plafond salarial année 2
Plafond salarial année 3
Plafond salarial année 4
Plafond salarial année 5
Plafond salarial année 6
Plafond salarial année 7
Plafond salarial année 8
Plafond salarial année 9
Plafond salarial année 10
Non-échange année 2
Non-échange année 3
Non-échange année 4
Non-échange année 5
Non-échange année 6
Non-échange année 7
Non-échange année 8
Non-échange année 9
Non-échange année 10
Lien
Andre BurakovskyPittsburgh PenguinsLW291995-02-09SWENo209 Lbs6 ft2NoNoFree AgentNoNo42024-10-04FalseFalsePro & Farm1,750,000$831,492$0$0$No1,750,000$1,750,000$1,750,000$------1,750,000$1,750,000$1,750,000$------NoNoNo------Lien / Lien NHL
Brandon Carlo (contrat à 1 volet)Pittsburgh PenguinsD271996-11-26USANo216 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm3,000,000$1,425,414$0$0$No3,000,000$--------3,000,000$--------No--------Lien / Lien NHL
Bryan RustPittsburgh PenguinsRW321992-05-11USANo192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$807,735$0$0$No---------------------------Lien / Lien NHL
Dmitry Orlov (contrat à 1 volet)Pittsburgh PenguinsD321991-07-23RUSNo214 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm3,750,000$1,781,768$0$0$No---------------------------Lien / Lien NHL
Evgeni Malkin (contrat à 1 volet)Pittsburgh PenguinsC371986-07-31RUSNo194 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm3,200,000$1,520,442$0$0$No---------------------------Lien / Lien NHL
Jack HughesPittsburgh PenguinsLW232001-05-14USANo176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$950,276$0$0$No---------------------------Lien / Lien NHL
Jake Guentzel (contrat à 1 volet)Pittsburgh PenguinsLW291994-10-06USANo181 Lbs5 ft11NoNoFree AgentNoNo22024-10-01FalseFalsePro & Farm5,250,000$2,494,475$0$0$No5,250,000$--------5,250,000$--------No--------Lien / Lien NHL
Joel Eriksson EkPittsburgh PenguinsC271997-01-29SWENo207 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,350,000$641,436$0$0$No1,350,000$1,350,000$-------1,350,000$1,350,000$-------NoNo-------Lien / Lien NHL
Jonas SiegenthalerPittsburgh PenguinsD271997-05-06CHENo218 Lbs6 ft2NoNoFree AgentNoNo22024-10-01FalseFalsePro & Farm1,200,000$570,166$0$0$No1,200,000$--------1,200,000$--------No--------Lien / Lien NHL
Jordan KyrouPittsburgh PenguinsRW261998-05-05CANNo174 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$332,597$0$0$No---------------------------Lien / Lien NHL
Josh Morrissey (contrat à 1 volet)Pittsburgh PenguinsD291995-03-28CANNo194 Lbs6 ft0NoNoFree AgentNoNo42024-10-01FalseFalsePro & Farm4,285,715$2,036,307$0$0$No4,285,715$4,285,715$4,285,715$------4,285,715$4,285,715$4,285,715$------NoNoNo------Lien / Lien NHL
Juuso ValimakiPittsburgh PenguinsD251998-10-06FINNo212 Lbs6 ft2NoNoFree AgentNoNo42024-10-11FalseFalsePro & Farm500,000$237,569$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Kasperi Kapanen (contrat à 1 volet)Pittsburgh PenguinsC271996-07-23FINNo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm7,500,000$3,563,536$0$0$No7,500,000$--------7,500,000$--------No--------Lien / Lien NHL
Marc-Andre Fleury (contrat à 1 volet)Pittsburgh PenguinsG391984-11-28CANNo185 Lbs6 ft2YesNoN/ANoNo1FalseFalsePro Only4,000,000$1,900,552$0$0$No---------------------------Lien / Lien NHL
Martin FehervaryPittsburgh PenguinsD241999-10-06SVKYes203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$332,597$0$0$No---------------------------Lien / Lien NHL
Matt BoldyPittsburgh PenguinsLW232001-04-05USAYes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$712,707$0$0$No---------------------------Lien / Lien NHL
Nick RitchiePittsburgh PenguinsRW281995-12-05CANNo236 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$237,569$0$0$No---------------------------Lien NHL
Nino Niederreiter (contrat à 1 volet)Pittsburgh PenguinsRW311992-09-08SUINo218 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm3,600,000$1,710,497$0$0$No3,600,000$--------3,600,000$--------No--------Lien / Lien NHL
Rasmus AsplundPittsburgh PenguinsRW261997-12-03SWENo185 Lbs5 ft11NoNoFree AgentNoNo32024-10-11FalseFalsePro & Farm500,000$237,569$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Reto Berra (contrat à 1 volet)Pittsburgh PenguinsG371987-01-03SUINo210 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm850,000$403,867$0$0$No---------------------------Lien NHL
Ryan Nugent-Hopkins (contrat à 1 volet)Pittsburgh PenguinsC311993-04-12CANNo194 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm3,600,000$1,710,497$0$0$No3,600,000$--------3,600,000$--------No--------Lien / Lien NHL
Vladislav GavrikovPittsburgh PenguinsD281995-11-21RUSNo214 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,350,000$641,436$0$0$No1,350,000$--------1,350,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.95201 Lbs6 ft11.912,399,351$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
52,785,715$33,885,715$8,385,715$6,535,715$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack HughesRyan Nugent-HopkinsNino Niederreiter30005
2Jake GuentzelKasperi KapanenBryan Rust30005
3Matt BoldyJoel Eriksson EkJordan Kyrou29005
4Andre BurakovskyEvgeni MalkinNick Ritchie11023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyBrandon Carlo40023
2Martin FehervaryDmitry Orlov35032
3Vladislav GavrikovJonas Siegenthaler25032
4Brandon CarloJosh Morrissey0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack HughesRyan Nugent-HopkinsJordan Kyrou60005
2Matt BoldyJoel Eriksson EkBryan Rust40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyJake Guentzel60014
2Brandon CarloKasperi Kapanen40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joel Eriksson EkMatt Boldy60041
2Ryan Nugent-HopkinsNino Niederreiter40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyBrandon Carlo60140
2Martin FehervaryVladislav Gavrikov40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Nugent-Hopkins60050Josh MorrisseyBrandon Carlo60050
2Joel Eriksson Ek40050Martin FehervaryVladislav Gavrikov40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kasperi KapanenMatt Boldy60005
2Evgeni MalkinAndre Burakovsky40005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MorrisseyBrandon Carlo60023
2Martin FehervaryVladislav Gavrikov40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack HughesRyan Nugent-HopkinsJordan KyrouJosh MorrisseyJake Guentzel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack HughesRyan Nugent-HopkinsNino NiederreiterJosh MorrisseyBrandon Carlo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evgeni Malkin, Joel Eriksson Ek, Andre BurakovskyEvgeni Malkin, Joel Eriksson EkAndre Burakovsky
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vladislav Gavrikov, Jonas Siegenthaler, Martin FehervaryVladislav GavrikovJonas Siegenthaler, Martin Fehervary
Tirs de pénalité
Jack Hughes, Matt Boldy, Jordan Kyrou, Kasperi Kapanen, Bryan Rust
Gardien
#1 : Marc-Andre Fleury, #2 : Reto Berra
Lignes d’attaque personnalisées en prolongation
Ryan Nugent-Hopkins, Jack Hughes, Kasperi Kapanen, Matt Boldy, Joel Eriksson Ek, Bryan Rust, Evgeni Malkin, Jordan Kyrou, Andre Burakovsky, Nino Niederreiter
Lignes de défense personnalisées en prolongation
Josh Morrissey, Brandon Carlo, Martin Fehervary, Dmitry Orlov, 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
Total
Domicile
Visiteur
#
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 Bruins4110101014140200010108622110000068-270.583142438003543127463544612247347416318.75%12375.00%049490054.89%45192348.86%28454052.59%885288366834
2California Golden Seals10001000211100010002110000000000020.667235001001311299123121013200.00%5180.00%049490054.89%45192348.86%28454052.59%2314188178
3Carolina Hurricanes11000000312110000003120000000000031.000358002010281171003113812200.00%40100.00%049490054.89%45192348.86%28454052.59%2213219167
4Colorado Avalanche22000000826110000005141100000031261.00081422001250672224210552018489444.44%9277.78%149490054.89%45192348.86%28454052.59%452842173216
5Columbus Blue Jackets2010000168-21010000012-11000000156-110.16761016002311682019295752712396116.67%5180.00%049490054.89%45192348.86%28454052.59%412451173215
6Detroit Red Wings211000007431010000013-21100000061530.50071118001420561721180542225507342.86%50100.00%049490054.89%45192348.86%28454052.59%422343183416
7Edmonton Oilers2020000036-31010000023-11010000013-200.00034700210071223217054156515120.00%4175.00%049490054.89%45192348.86%28454052.59%462840163217
8Florida Panthers1010000024-2000000000001010000024-200.00023500011033111210034176213133.33%3233.33%049490054.89%45192348.86%28454052.59%2012238157
9Hamilton Mustangs1010000013-21010000013-20000000000000.0001231010002481150368622200.00%3166.67%049490054.89%45192348.86%28454052.59%2113219178
10Los Angeles Kings11000000725000000000001100000072531.000713200023203011910031512204375.00%60100.00%049490054.89%45192348.86%28454052.59%2012239167
11Minnesota North Stars21100000810-2110000005321010000037-430.50081321001340852131330642342486233.33%6516.67%049490054.89%45192348.86%28454052.59%473139163315
12Montreal Canadiens20001001770100010003211000000145-130.50079160004216113251610622216481300.00%70100.00%049490054.89%45192348.86%28454052.59%422145203719
13New Jersey Devils1010000012-1000000000001010000012-100.000123000010313121603012426100.00%20100.00%049490054.89%45192348.86%28454052.59%1910228178
14New York Islanders11000000211110000002110000000000031.00024600101033813120289425700.00%20100.00%049490054.89%45192348.86%28454052.59%2414208158
15Philadelphia Flyers21100000651110000004221010000023-130.50061117001320611532140612139605240.00%12283.33%049490054.89%45192348.86%28454052.59%392246193415
16Quebec Nordiques640001012013731000101660330000001477140.77820365600848319873655510158517316925624.00%19478.95%149490054.89%45192348.86%28454052.59%146881095511256
17Seattle Kraken1010000046-21010000046-20000000000000.0004610000220351211120371514183133.33%7442.86%049490054.89%45192348.86%28454052.59%2113228168
18St Louis Blues1010000023-1000000000001010000023-100.000246000200345181103412427200.00%20100.00%049490054.89%45192348.86%28454052.59%2314198179
19Tampa Bay Lightning211000008531010000013-21100000072530.50081220004220502018120672120359333.33%10280.00%049490054.89%45192348.86%28454052.59%392243183617
20Toronto Maple Leafs42200000963220000008352020000013-260.5009152400315011545353501034331861417.14%13192.31%049490054.89%45192348.86%28454052.59%875082366936
21Vegas Golden Knights2000000224-21000000112-11000000112-120.33324600011257201519964228569222.22%40100.00%049490054.89%45192348.86%28454052.59%502840183921
Total41161503115122107152186031125748920890000365596620.504122205327103341441112954154544084112234373929481503322.00%1402979.29%249490054.89%45192348.86%28454052.59%916542865370712357
_Since Last GM Reset41161503115122107152186031125748920890000365596620.504122205327103341441112954154544084112234373929481503322.00%1402979.29%249490054.89%45192348.86%28454052.59%916542865370712357
_Vs Conference241170211272581412610211135241112560000137343420.5837212119300222027773724525422426696256235556951616.84%841483.33%149490054.89%45192348.86%28454052.59%531308502221425213
_Vs Division188402112564511940021112919109440000127261330.611569515100151721756219219216426506184193437731216.44%631084.13%149490054.89%45192348.86%28454052.59%405235371168322162

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4162W21222053271295122343739294810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4116153115122107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
218631125748
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
208900036559
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1503322.00%1402979.29%2
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
4154544084133414411
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
49490054.89%45192348.86%28454052.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
916542865370712357


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
13Pittsburgh Penguins5Columbus Blue Jackets6LXXSommaire du match
313Columbus Blue Jackets2Pittsburgh Penguins1LSommaire du match
527Colorado Avalanche1Pittsburgh Penguins5WSommaire du match
848Pittsburgh Penguins1Vegas Golden Knights2LXXSommaire du match
1049New York Islanders1Pittsburgh Penguins2WSommaire du match
1261Pittsburgh Penguins7Tampa Bay Lightning2WSommaire du match
1576Pittsburgh Penguins2Florida Panthers4LSommaire du match
1788Carolina Hurricanes1Pittsburgh Penguins3WSommaire du match
20103Pittsburgh Penguins5Quebec Nordiques4WSommaire du match
22115Toronto Maple Leafs2Pittsburgh Penguins4WSommaire du match
24127Montreal Canadiens2Pittsburgh Penguins3WXSommaire du match
26139Pittsburgh Penguins3Boston Bruins6LSommaire du match
28151Pittsburgh Penguins2Philadelphia Flyers3LSommaire du match
30166Quebec Nordiques3Pittsburgh Penguins2LXXSommaire du match
32178Philadelphia Flyers2Pittsburgh Penguins4WSommaire du match
34190Boston Bruins2Pittsburgh Penguins3WXSommaire du match
36199Tampa Bay Lightning3Pittsburgh Penguins1LSommaire du match
38211Pittsburgh Penguins1New Jersey Devils2LSommaire du match
39220Pittsburgh Penguins6Detroit Red Wings1WSommaire du match
42235Seattle Kraken6Pittsburgh Penguins4LSommaire du match
45247Pittsburgh Penguins7Los Angeles Kings2WSommaire du match
48259Hamilton Mustangs3Pittsburgh Penguins1LSommaire du match
51271Pittsburgh Penguins2St Louis Blues3LSommaire du match
54283Detroit Red Wings3Pittsburgh Penguins1LSommaire du match
58298Pittsburgh Penguins4Montreal Canadiens5LXXSommaire du match
59304Pittsburgh Penguins0Toronto Maple Leafs1LSommaire du match
62322Pittsburgh Penguins3Boston Bruins2WSommaire du match
65334Toronto Maple Leafs1Pittsburgh Penguins4WSommaire du match
67346Quebec Nordiques2Pittsburgh Penguins1LXSommaire du match
69355Pittsburgh Penguins5Quebec Nordiques1WSommaire du match
70361Pittsburgh Penguins1Toronto Maple Leafs2LSommaire du match
73382Boston Bruins4Pittsburgh Penguins5WXXSommaire du match
75391Pittsburgh Penguins1Edmonton Oilers3LSommaire du match
77403California Golden Seals1Pittsburgh Penguins2WXSommaire du match
79416Pittsburgh Penguins3Colorado Avalanche1WSommaire du match
82431Edmonton Oilers3Pittsburgh Penguins2LSommaire du match
84441Vegas Golden Knights2Pittsburgh Penguins1LXXSommaire du match
85448Minnesota North Stars3Pittsburgh Penguins5WSommaire du match
88463Pittsburgh Penguins3Minnesota North Stars7LSommaire du match
90475Quebec Nordiques1Pittsburgh Penguins3WSommaire du match
93487Pittsburgh Penguins4Quebec Nordiques2WSommaire du match
96493Pittsburgh Penguins-Seattle Kraken-
98508Los Angeles Kings-Pittsburgh Penguins-
100520Pittsburgh Penguins-California Golden Seals-
103529Pittsburgh Penguins-Chicago Blackhawks-
105542Chicago Blackhawks-Pittsburgh Penguins-
107553Pittsburgh Penguins-Hamilton Mustangs-
111566New Jersey Devils-Pittsburgh Penguins-
113577Pittsburgh Penguins-New York Islanders-
115589Pittsburgh Penguins-New York Rangers-
118601Pittsburgh Penguins-Carolina Hurricanes-
120617Florida Panthers-Pittsburgh Penguins-
124629New York Rangers-Pittsburgh Penguins-
126641St Louis Blues-Pittsburgh Penguins-
128649Pittsburgh Penguins-Montreal Canadiens-
130661Montreal Canadiens-Pittsburgh Penguins-
132673Pittsburgh Penguins-Philadelphia Flyers-
134688Philadelphia Flyers-Pittsburgh Penguins-
137697Pittsburgh Penguins-Tampa Bay Lightning-
139709New Jersey Devils-Pittsburgh Penguins-
142726Pittsburgh Penguins-Florida Panthers-
144738New York Islanders-Pittsburgh Penguins-
146745Pittsburgh Penguins-New York Rangers-
148757Carolina Hurricanes-Pittsburgh Penguins-
152780Pittsburgh Penguins-Carolina Hurricanes-
154792New York Rangers-Pittsburgh Penguins-
156799Pittsburgh Penguins-New York Islanders-
158811Florida Panthers-Pittsburgh Penguins-
161828Pittsburgh Penguins-New Jersey Devils-
163840Tampa Bay Lightning-Pittsburgh Penguins-
165841Pittsburgh Penguins-Toronto Maple Leafs-
166847Toronto Maple Leafs-Pittsburgh Penguins-
169868Boston Bruins-Pittsburgh Penguins-
170874Pittsburgh Penguins-Boston Bruins-
173892Pittsburgh Penguins-Montreal Canadiens-
174895Montreal Canadiens-Pittsburgh Penguins-
179919Pittsburgh Penguins-Philadelphia Flyers-
180931Philadelphia Flyers-Pittsburgh Penguins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets93523225188
Assistance103,18881,20733,52665,52322,036
Attendance PCT82.72%79.57%80.63%78.79%83.28%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
18 14547 - 80.81% 1,092,712$22,946,944$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
29,227,320$ 55,685,715$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 29,227,320$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
19,668,809$ 86 307,656$ 26,458,416$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
27,264,494$ 100,126,654$ 93,715,090$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jack HughesAGE:23PO:0OV:81
Jake GuentzelAGE:29PO:0OV:80
Matt Boldy (R)AGE:23PO:0OV:78
Andre BurakovskyAGE:29PO:0OV:75
Bobby Brink (R)AGE:22PO:0OV:69
Dominik SimonAGE:29PO:0OV:68
Axel Jonsson-FjallbyAGE:26PO:0OV:68
Drew O'ConnorAGE:26PO:0OV:67
Mathias BromeAGE:29PO:0OV:66
Kasperi KapanenAGE:27PO:0OV:79
Ryan Nugent-HopkinsAGE:31PO:0OV:78
Joel Eriksson EkAGE:27PO:0OV:76
Evgeni MalkinAGE:37PO:0OV:74
Andrei LoktionovAGE:34PO:0OV:71
Ridly Greig (R)AGE:21PO:0OV:71
Dominic ToninatoAGE:30PO:0OV:69
Tyler JohnsonAGE:33PO:0OV:69
Oskar SundqvistAGE:30PO:0OV:66
Jack Studnicka (R)AGE:25PO:0OV:64
Jordan KyrouAGE:26PO:0OV:79
Nino NiederreiterAGE:31PO:0OV:78
Bryan RustAGE:32PO:0OV:77
Seth Jarvis (R)AGE:22PO:0OV:76
Nick RitchieAGE:28PO:0OV:72
Rasmus AsplundAGE:26PO:0OV:70
Jesse Ylonen (R)AGE:24PO:0OV:70
Brandon YipAGE:39PO:0OV:67
Jayson MegnaAGE:34PO:0OV:66
Anthony AngelloAGE:28PO:0OV:65
Trey Fix-WolanskyAGE:25PO:0OV:64

Défense #1Défense #2Gardien
Josh MorrisseyAGE:29PO:0OV:81
Brandon CarloAGE:27PO:0OV:79
Martin Fehervary (R)AGE:24PO:0OV:79
Dmitry OrlovAGE:32PO:0OV:77
Vladislav GavrikovAGE:28PO:0OV:75
Jonas SiegenthalerAGE:27PO:0OV:74
Calen Addison (R)AGE:24PO:0OV:74
Joe MorrowAGE:31PO:0OV:73
Juuso ValimakiAGE:25PO:0OV:72
Steve KampferAGE:35PO:0OV:72
Nick DeSimoneAGE:29PO:0OV:69
Kevin CzuczmanAGE:33PO:0OV:68
Michal JordanAGE:33PO:0OV:68
Juuso RiikolaAGE:30PO:0OV:67
Jack RathboneAGE:25PO:0OV:65
Marc-Andre FleuryAGE:39PO:0OV:81
Reto BerraAGE:37PO:0OV:77
Anton KhudobinAGE:38PO:0OV:76
Christopher GibsonAGE:31PO:0OV:71

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
Espoir
Nom de l’équipe
Année de repêchage
Choix total
Information
Date de la Dernière Transaction
Lien
0x LTCsPittsburgh Penguins00
1x RFA TagPittsburgh Penguins00
20x POS Changes NSHL24Pittsburgh Penguins00
29x TC PTSPittsburgh Penguins00
Aaron HuglenPittsburgh Penguins19125
Adam JiricekPittsburgh Penguins2423Lien
Adam SykoraPittsburgh Penguins2253Lien
Akil ThomasPittsburgh Penguins1846
Aleksandr KisakovPittsburgh Penguins2169Lien
Aleksi HeimosalmiPittsburgh Penguins2160Lien
Alexander NikishinPittsburgh Penguins2226Lien
Andrew StrathmannPittsburgh Penguins23152Lien
Beau AkeyPittsburgh Penguins2396Lien
Ben DanfordPittsburgh Penguins2463Lien
Brandon SvobodaPittsburgh Penguins23169Lien
Chaz LuciusPittsburgh Penguins2117Lien
Daemon HuntPittsburgh Penguins2163Lien
David EdstromPittsburgh Penguins2346Lien
Dmitry OvchinnikovPittsburgh Penguins20103Lien
Donovan SebrangoPittsburgh Penguins22160Lien
Elmer SoderblomPittsburgh Penguins21113Lien
Eriks MateikoPittsburgh Penguins24107Lien
Ethan GauthierPittsburgh Penguins2347Lien
Etienne MorinPittsburgh Penguins2367Lien
Filip LindbergPittsburgh Penguins21115Lien
Grigori DenisenkoPittsburgh Penguins1829
Helge GransPittsburgh Penguins2036
Hendrix LapierrePittsburgh Penguins2024
Ilya FedotovPittsburgh Penguins21116Lien
Isak RosenPittsburgh Penguins2118Lien
Jack Hughes DOB 2003Pittsburgh Penguins2251Lien
Jayden PerronPittsburgh Penguins2372Lien
Jiri KulichPittsburgh Penguins2225Lien
Jordan GustafsonPittsburgh Penguins22135Lien
Jordy BellerivePittsburgh Penguins1851
Julius MiettinenPittsburgh Penguins2449Lien
Juraj PekarcikPittsburgh Penguins23120Lien
Kirill KirsanovPittsburgh Penguins2248Lien
Kirill MarchenkoPittsburgh Penguins1881
Ludwig PerssonPittsburgh Penguins22137Lien
Marco RossiPittsburgh Penguins206
Martin ChromiakPittsburgh Penguins2088Lien
Matej BlumelPittsburgh Penguins22152Lien
Matthew CoronatoPittsburgh Penguins2113Lien
Matyas SapovalivPittsburgh Penguins2289Lien
Max PlantePittsburgh Penguins2487Lien
Oliver MoorePittsburgh Penguins2316Lien
Philippe DesrosiersPittsburgh Penguins1387
Prokhor PoltapovPittsburgh Penguins2150Lien
Raphael LavoiePittsburgh Penguins1923
Ryan ChesleyPittsburgh Penguins2241Lien
Ryan GreenePittsburgh Penguins22112Lien
Sam O'ReillyPittsburgh Penguins2438Lien
Sampo RantaPittsburgh Penguins18105
Samuel PoulinPittsburgh Penguins1934
Yevgeni VolokhinPittsburgh Penguins24111Lien
Zach NehringPittsburgh Penguins23162Lien
Zion NybeckPittsburgh Penguins2077

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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

[2025-04-14 9:09:45 AM] New Record for Team's Most Shots (50) in 1 Game for Pittsburgh Penguins!
[2025-04-13 9:22:07 AM] TRADE : From Pittsburgh Penguins to Vegas Golden Knights : $1,159,567 (Money).
[2025-04-11 9:45:51 AM] TRADE : From Pittsburgh Penguins to Edmonton Oilers : $66,935 (Money).
[2025-04-11 9:45:03 AM] TRADE : From Pittsburgh Penguins to Edmonton Oilers : $1,160,519 (Money).
[2025-04-08 9:44:01 AM] TRADE : From Colorado Avalanche to Pittsburgh Penguins : $1,047,765 (Money).
[2025-02-16 11:58:27 AM] TRADE : From Detroit Red Wings to Pittsburgh Penguins : $985,301 (Money).
[2025-02-16 11:58:17 AM] TRADE : From Detroit Red Wings to Pittsburgh Penguins : $68,235 (Money).



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