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Pittsburgh Penguins
GP: 5 | W: 4 | L: 0 | OTL: 1 | P: 9
GF: 21 | GA: 14 | PP%: 25.00% | PK%: 83.33%
DG: | Morale : 50 | Moyenne d’équipe : 70
Prochains matchs #88 vs Dallas Stars

Centre de jeu
Pittsburgh Penguins
4-0-1, 9pts
7
FINAL
3 Detroit Red Wings
2-2-1, 5pts
Team Stats
SOW1SéquenceW1
1-0-1Fiche domicile0-2-0
3-0-0Fiche visiteur2-0-1
4-0-1Derniers 10 matchs2-2-1
4.20Buts par match 3.20
2.80Buts contre par match 3.60
25.00%Pourcentage en avantage numérique11.76%
83.33%Pourcentage en désavantage numérique75.00%
Pittsburgh Penguins
4-0-1, 9pts
3
FINAL
2 St. Louis Blues
2-1-1, 5pts
Team Stats
SOW1SéquenceSOL1
1-0-1Fiche domicile2-0-1
3-0-0Fiche visiteur0-1-0
4-0-1Derniers 10 matchs2-1-1
4.20Buts par match 3.50
2.80Buts contre par match 3.25
25.00%Pourcentage en avantage numérique11.76%
83.33%Pourcentage en désavantage numérique80.00%
Dallas Stars
3-1-0, 6pts
Jour 15
Pittsburgh Penguins
4-0-1, 9pts
Statistiques d’équipe
L1SéquenceSOW1
1-1-0Fiche domicile1-0-1
2-0-0Fiche visiteur3-0-0
3-1-010 derniers matchs4-0-1
3.25Buts par match 4.20
2.50Buts contre par match 4.20
19.23%Pourcentage en avantage numérique25.00%
92.31%Pourcentage en désavantage numérique83.33%
Colorado Avalanche
3-2-0, 6pts
Jour 17
Pittsburgh Penguins
4-0-1, 9pts
Statistiques d’équipe
W3SéquenceSOW1
2-0-0Fiche domicile1-0-1
1-2-0Fiche visiteur3-0-0
3-2-010 derniers matchs4-0-1
3.00Buts par match 4.20
2.80Buts contre par match 4.20
23.53%Pourcentage en avantage numérique25.00%
100.00%Pourcentage en désavantage numérique83.33%
Ottawa Senators
2-3-0, 4pts
Jour 19
Pittsburgh Penguins
4-0-1, 9pts
Statistiques d’équipe
L2SéquenceSOW1
2-2-0Fiche domicile1-0-1
0-1-0Fiche visiteur3-0-0
2-3-010 derniers matchs4-0-1
2.20Buts par match 4.20
3.00Buts contre par match 4.20
21.05%Pourcentage en avantage numérique25.00%
82.61%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Sidney CrosbyButs
Sidney Crosby
4
Erik KarlssonPasses
Erik Karlsson
8
Erik KarlssonPoints
Erik Karlsson
8
Kris LetangPlus/Moins
Kris Letang
6
Tristan JarryVictoires
Tristan Jarry
4
Tristan JarryPourcentage d’arrêts
Tristan Jarry
0.912

Statistiques d’équipe
Buts pour
21
4.20 GFG
Tirs pour
154
30.80 Avg
Pourcentage en avantage numérique
25.0%
5 GF
Début de zone offensive
39.8%
Buts contre
14
2.80 GAA
Tirs contre
148
29.60 Avg
Pourcentage en désavantage numérique
83.3%%
3 GA
Début de la zone défensive
40.3%
Informations de l'équipe

Directeur général
EntraîneurBenoit Groulx
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomConsol Energy Center
Capacité18,000
Assistance16,957
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure5
Limite contact 27 / 250
Espoirs0


Plafond salarial

Cap Salarial de la Saison estimé81,972,560$
Plafond salarial disponible5,727,440$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour2,288,944$
Dépenses annuelles à ce jour4,985,408$
Revenus de la saison estimés44,634,408$
Dépenses de la saison estimées76,849,200$
Compte bancaire actuel7,229,964$
Compte bancaire projeté-26,124,428$


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
1Sidney Crosby0X98.0070348284729190858788846789919641537803735,721,000$
2Evgeni Malkin0X98.0063367276828990807983776781908238577403813,501,000$
3Bryan Rust0X99.0070378978718987755776788073777540507303244,218,000$
4Rickard Rakell0X99.0075359276788889745775756476797361477203113,793,000$
5Lars Eller0X100.0069368569818690688365668467887645517003552,870,000$
6Michael Bunting0X100.0068657174738690755676736472707348507002943,728,000$
7Drew O'Connor0X99.0073418972838187687369667467686942566902632,502,000$
8Jeff Carter0X100.0070379167878289659061667564938233576904034,416,000$
9Noel Acciari0X100.0084379366728385638460649163767526526903334,525,000$
10Emil Bemstrom0X100.0064389469737986707367686270666957516702542,004,000$
11Matt Nieto0X100.0064349467728279655962637764797343556703224,252,000$
12Jesse Puljujarvi0X100.0078438767878280656462616366686985526602631,611,000$
13Radim Zohorna0X100.0082418263967883626764616562686936526602813,106,000$
14Erik Karlsson0X99.0062348581729590793091776662877845587503424,405,000$
15Kris Letang0X99.0078358076759588753082728158898030437403843,224,000$
16Ryan Graves0X100.0070398865939088623073638752717349496902914,036,000$
17Pierre-Olivier Joseph0X100.0070358669778684673073606253656678536602531,763,000$
18Ryan Shea0X100.0069388763807883583060596549676950516402843,512,000$
Rayé
1Reilly Smith0X79.4168359375768789745675737672837739367203443,893,000$
2Marcus Pettersson0X96.5375587867799288633077568650716962326802824,635,000$
MOYENNE D’ÉQUIPE98.30713986717986877058726873667775475070
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
1Tristan Jarry098.009289847991909291909291748359487602954,500,124$
2Alex Nedeljkovic0100.008584807984838584838584708163447202935,757,436$
Rayé
MOYENNE D’ÉQUIPE99.0089878279888789888789887282614674
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx77647165868164CAN5611$


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
1Erik KarlssonPittsburgh PenguinsD508860039112100%1113927.96044617000020000%000001.1400000011
2Sidney CrosbyPittsburgh PenguinsC544840017202041920.00%212424.970223140000200157.32%15700001.2802000200
3Bryan RustPittsburgh PenguinsRW5257300972071010.00%010521.091126140000110057.14%2100001.3302000010
4Kris LetangPittsburgh PenguinsD5246680223144614.29%1113026.052131016000015000%000000.9200000001
5Evgeni MalkinPittsburgh PenguinsC5235-120622215109.52%111623.381123160001200050.44%11300000.8602000001
6Lars EllerPittsburgh PenguinsC52352206141211116.67%26813.7800000000011053.33%7500001.4500000011
7Matt NietoPittsburgh PenguinsLW52242001895422.22%37214.480000000001000%500001.1000000010
8Drew O'ConnorPittsburgh PenguinsLW5112-120109821012.50%19919.93000016000030036.84%1900000.4000000000
9Michael BuntingPittsburgh PenguinsLW520236013481525.00%19118.3410141400000000%600000.4411000000
10Noel AcciariPittsburgh PenguinsC50222201031150%46813.7800000000000061.54%1300000.5800000000
11Rickard RakellPittsburgh PenguinsRW520234046104720.00%09118.2000009000081066.67%600000.4401000000
12Ryan GravesPittsburgh PenguinsD5022-220234030%711122.39000214000017000%000000.3600000000
13Pierre-Olivier JosephPittsburgh PenguinsD51010202140125.00%19719.44000210000010100%000000.2100000000
14Emil BemstromPittsburgh PenguinsC5000000000000%091.82000000000200100.00%10000000000000
15Jeff CarterPittsburgh PenguinsC5000-200033430%0285.7700003000000080.00%50000000000000
16Jesse PuljujarviPittsburgh PenguinsRW50001155303100%0346.800000000000000%00000000000000
17Marcus PetterssonPittsburgh PenguinsD2000-120752000%12914.620001300007000%00000000000000
18Radim ZohornaPittsburgh PenguinsLW3000120002000%062.130000000000000%00000000000000
19Reilly SmithPittsburgh PenguinsRW2000-100311000%12311.78000030000400100.00%10000001000000
20Ryan SheaPittsburgh PenguinsD3000020211010%03913.090000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne90203454255151201191544110512.99%46148916.5559143715700011453153.08%42200000.7319000244
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
1Tristan JarryPittsburgh Penguins54010.9122.5231000131480000.889950010
Statistiques d’équipe totales ou en moyenne54010.9122.523100013148000950010


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond 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
Alex NedeljkovicPittsburgh PenguinsG291996-01-07USANo208 Lbs6 ft0NoNoAssign ManuallyNoNo32025-03-28FalseFalsePro & Farm5,757,436$5,757,436$5,397,596$No5,757,436$5,757,436$-------5,757,436$5,757,436$9,033,334$9,033,334$-----NoNo-------Lien / Lien NHL
Bryan RustPittsburgh PenguinsRW321992-05-11USANo192 Lbs5 ft11NoNoAssign ManuallyNoNo42025-03-28FalseFalsePro & Farm4,218,000$4,218,000$3,954,375$No4,218,000$4,218,000$4,218,000$------4,218,000$4,218,000$4,218,000$7,233,000$-----NoNoNo------Lien / Lien NHL
Drew O'ConnorPittsburgh PenguinsLW261998-06-09USANo200 Lbs6 ft3NoNoAssign ManuallyNoNo32025-03-28FalseFalsePro & Farm2,502,000$2,502,000$2,345,625$No2,502,000$2,502,000$-------2,502,000$2,502,000$-------NoNo-------Lien / Lien NHL
Emil BemstromPittsburgh PenguinsC251999-06-01SWENo195 Lbs6 ft0NoNoAssign ManuallyNoNo42025-03-28FalseFalsePro & Farm2,004,000$2,004,000$1,878,750$No2,004,000$2,004,000$2,004,000$------2,004,000$2,004,000$2,004,000$------NoNoNo------Lien / Lien NHL
Erik KarlssonPittsburgh PenguinsD341990-05-31SWENo190 Lbs6 ft0NoNoAssign ManuallyNoNo22025-03-28FalseFalsePro & Farm4,405,000$4,405,000$4,129,688$No4,405,000$--------4,405,000$5,490,000$-------No--------Lien / Lien NHL
Evgeni MalkinPittsburgh PenguinsC381986-07-31RUSNo195 Lbs6 ft3NoNoAssign ManuallyNoNo12025-03-28FalseFalsePro & Farm3,501,000$3,501,000$3,282,188$No---------7,136,000$-----------------Lien / Lien NHL
Jeff CarterPittsburgh PenguinsC401985-01-01CANNo219 Lbs6 ft3NoNoAssign ManuallyNoNo32025-03-28FalseFalsePro & Farm4,416,000$4,416,000$4,140,000$No4,416,000$4,416,000$-------4,416,000$4,416,000$-------NoNo-------Lien / Lien NHL
Jesse PuljujarviPittsburgh PenguinsRW261998-05-07FINNo201 Lbs6 ft4NoNoAssign ManuallyNoNo32025-03-28FalseFalsePro & Farm1,611,000$1,611,000$1,510,312$No1,611,000$1,611,000$-------1,611,000$1,611,000$-------NoNo-------Lien / Lien NHL
Kris LetangPittsburgh PenguinsD381987-04-24CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo42025-03-28FalseFalsePro & Farm3,224,000$3,224,000$3,022,500$No3,224,000$3,224,000$3,224,000$------3,224,000$3,224,000$3,224,000$7,651,000$-----NoNoNo------Lien / Lien NHL
Lars EllerPittsburgh PenguinsC351989-05-08DNKNo205 Lbs6 ft2NoNoAssign ManuallyNoNo52025-03-28FalseFalsePro & Farm2,870,000$2,870,000$2,690,625$No2,870,000$2,870,000$2,870,000$2,870,000$-----2,870,000$2,870,000$2,870,000$2,870,000$-----NoNoNoNo-----Lien / Lien NHL
Marcus PetterssonPittsburgh PenguinsD281996-05-08SWENo177 Lbs6 ft3NoNoAssign ManuallyNoNo22025-03-28FalseFalsePro & Farm4,635,000$4,635,000$4,345,312$No4,635,000$--------4,635,000$6,410,000$6,410,000$------No--------Lien / Lien NHL
Matt NietoPittsburgh PenguinsLW321992-11-05USANo187 Lbs5 ft11NoNoAssign ManuallyNoNo22025-03-28FalseFalsePro & Farm4,252,000$4,252,000$3,986,250$No4,252,000$--------4,252,000$3,739,000$-------No--------Lien / Lien NHL
Michael BuntingPittsburgh PenguinsLW291995-09-17CANNo192 Lbs6 ft0NoNoAssign ManuallyNoNo42025-03-28FalseFalsePro & Farm3,728,000$3,728,000$3,495,000$No3,728,000$3,728,000$3,728,000$------3,728,000$3,728,000$3,728,000$------NoNoNo------Lien / Lien NHL
Noel AcciariPittsburgh PenguinsC331991-12-01USANo209 Lbs5 ft10NoNoAssign ManuallyNoNo32025-03-28FalseFalsePro & Farm4,525,000$4,525,000$4,242,188$No4,525,000$4,525,000$-------4,525,000$4,525,000$5,788,000$5,788,000$-----NoNo-------Lien / Lien NHL
Pierre-Olivier JosephPittsburgh PenguinsD251999-07-01CANNo185 Lbs6 ft2NoNoAssign ManuallyNoNo32025-03-28FalseFalsePro & Farm1,763,000$1,763,000$1,652,812$No1,763,000$1,763,000$-------1,763,000$1,763,000$3,583,000$------NoNo-------Lien / Lien NHL
Radim ZohornaPittsburgh PenguinsLW281996-04-29CZENo220 Lbs6 ft6NoNoAssign ManuallyNoNo12025-03-28FalseFalsePro & Farm3,106,000$3,106,000$2,911,875$No---------6,043,000$6,043,000$6,043,000$---------------Lien / Lien NHL
Reilly SmithPittsburgh PenguinsRW341991-04-01CANNo185 Lbs6 ft1NoNoAssign ManuallyNoNo42025-03-28FalseFalsePro & Farm3,893,000$3,893,000$3,649,688$No3,893,000$3,893,000$3,893,000$------3,893,000$3,893,000$3,893,000$------NoNoNo------Lien / Lien NHL
Rickard RakellPittsburgh PenguinsRW311993-05-05SWENo195 Lbs6 ft1NoNoAssign ManuallyNoNo12025-03-28FalseFalsePro & Farm3,793,000$3,793,000$3,555,938$No---------------------------Lien / Lien NHL
Ryan GravesPittsburgh PenguinsD291995-05-21CANNo220 Lbs6 ft5NoNoAssign ManuallyNoNo12025-03-28FalseFalsePro & Farm4,036,000$4,036,000$3,783,750$No---------4,233,000$4,233,000$----------------Lien / Lien NHL
Ryan SheaPittsburgh PenguinsD281997-02-11USANo200 Lbs6 ft2NoNoAssign ManuallyNoNo42025-03-28FalseFalsePro & Farm3,512,000$3,512,000$3,292,500$No3,512,000$3,512,000$3,512,000$------3,512,000$3,512,000$3,512,000$6,302,000$-----NoNoNo------Lien / Lien NHL
Sidney CrosbyPittsburgh PenguinsC371987-08-07CANNo200 Lbs5 ft11NoNoAssign ManuallyNoNo32025-03-28FalseFalsePro & Farm5,721,000$5,721,000$5,363,438$No5,721,000$5,721,000$-------5,721,000$5,721,000$-------NoNo-------Lien / Lien NHL
Tristan JarryPittsburgh PenguinsG291995-04-29CANNo194 Lbs6 ft2NoNoAssign ManuallyNoNo52025-03-28FalseFalsePro & Farm4,500,124$4,500,124$4,218,866$No4,500,124$4,500,124$4,500,124$4,500,124$-----4,500,124$4,500,124$4,500,124$4,500,124$-----NoNoNoNo-----Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2231.18199 Lbs6 ft12.953,726,025$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
81,972,560$67,536,560$54,244,560$27,949,124$7,370,124$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael BuntingSidney CrosbyBryan Rust40122
2Drew O'ConnorEvgeni MalkinRickard Rakell30122
3Matt NietoLars EllerJesse Puljujarvi20122
4Radim ZohornaNoel AcciariSidney Crosby10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonKris Letang40122
2Ryan GravesPierre-Olivier Joseph30122
3Ryan SheaNoel Acciari20122
4Erik KarlssonKris Letang10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael BuntingSidney CrosbyBryan Rust60122
2Drew O'ConnorEvgeni MalkinRickard Rakell40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonKris Letang60122
2Ryan GravesPierre-Olivier Joseph40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sidney CrosbyEvgeni Malkin60122
2Bryan RustRickard Rakell40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonKris Letang60122
2Ryan GravesPierre-Olivier Joseph40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sidney Crosby60122Erik KarlssonKris Letang60122
2Evgeni Malkin40122Ryan GravesPierre-Olivier Joseph40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sidney CrosbyEvgeni Malkin60122
2Bryan RustRickard Rakell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonKris Letang60122
2Ryan GravesPierre-Olivier Joseph40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael BuntingSidney CrosbyBryan RustErik KarlssonKris Letang
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael BuntingSidney CrosbyBryan RustErik KarlssonKris Letang
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeff Carter, Emil Bemstrom, Lars EllerJeff Carter, Emil BemstromLars Eller
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Shea, Ryan Graves, Pierre-Olivier JosephRyan SheaRyan Graves, Pierre-Olivier Joseph
Tirs de pénalité
Sidney Crosby, Evgeni Malkin, Bryan Rust, Rickard Rakell, Michael Bunting
Gardien
#1 : Tristan Jarry, #2 : Alex Nedeljkovic


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
1Calgary Flames11000000422110000004220000000000021.0004590030102491230174818300.00%30100.00%08816254.32%9416457.32%428151.85%2516217126
2Chicago Blackhawks1000000123-11000000123-10000000000010.5002350011003110108735810294250.00%5180.00%08816254.32%9416457.32%428151.85%2114288146
3Detroit Red Wings11000000734000000000001100000073421.00071219002230391011180193221200.00%10100.00%08816254.32%9416457.32%428151.85%2619206126
4St. Louis Blues10000010321000000000001000001032121.000347001101279977331921245120.00%4175.00%08816254.32%9416457.32%428151.85%2416268136
5Washington Capitals11000000541000000000001100000054121.0005101500212033712140441210286233.33%5180.00%08816254.32%9416457.32%428151.85%2114257126
Total53000011211472100000165132000010159690.90021345500956115445545014148465112020525.00%18383.33%08816254.32%9416457.32%428151.85%12083123386531
_Since Last GM Reset53000011211472100000165132000010159690.90021345500956115445545014148465112020525.00%18383.33%08816254.32%9416457.32%428151.85%12083123386531
_Vs Conference2200000012750000000000022000000127541.000122234004350721723320631512498225.00%6183.33%08816254.32%9416457.32%428151.85%483446142512
_Vs Division11000000541000000000001100000054121.0005101500212033712140441210286233.33%5180.00%08816254.32%9416457.32%428151.85%2114257126

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
59SOW1213455154148465112000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
53000112114
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
210000165
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3200010159
Derniers 10 matchs
WLOTWOTL SOWSOL
300011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
20525.00%18383.33%0
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
455450149561
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
8816254.32%9416457.32%428151.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12083123386531


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
12Chicago Blackhawks3Pittsburgh Penguins2LXXSommaire du match
418Pittsburgh Penguins5Washington Capitals4WSommaire du match
525Calgary Flames2Pittsburgh Penguins4WSommaire du match
950Pittsburgh Penguins7Detroit Red Wings3WSommaire du match
1275Pittsburgh Penguins3St. Louis Blues2WXXSommaire du match
1588Dallas Stars-Pittsburgh Penguins-
17105Colorado Avalanche-Pittsburgh Penguins-
19123Ottawa Senators-Pittsburgh Penguins-
21132Anaheim Ducks-Pittsburgh Penguins-
26171Pittsburgh Penguins-San Jose Sharks-
29187Pittsburgh Penguins-Anaheim Ducks-
31202Pittsburgh Penguins-Los Angeles Kings-
33217Buffalo Sabres-Pittsburgh Penguins-
36230Pittsburgh Penguins-Columbus Blue Jackets-
38245New Jersey Devils-Pittsburgh Penguins-
40261Pittsburgh Penguins-Carolina Hurricanes-
41269Vegas Golden Knights-Pittsburgh Penguins-
44283New York Rangers-Pittsburgh Penguins-
46301Pittsburgh Penguins-Buffalo Sabres-
47311Toronto Maple Leafs-Pittsburgh Penguins-
50331Pittsburgh Penguins-Nashville Predators-
52345Pittsburgh Penguins-Tampa Bay Lightning-
54363Philadelphia Flyers-Pittsburgh Penguins-
56374Pittsburgh Penguins-Philadelphia Flyers-
58389Pittsburgh Penguins-Tampa Bay Lightning-
60406Pittsburgh Penguins-Florida Panthers-
64434Utah Hockey Club-Pittsburgh Penguins-
65442Pittsburgh Penguins-Montreal Canadiens-
68467Pittsburgh Penguins-Toronto Maple Leafs-
70480Minnesota Wild-Pittsburgh Penguins-
73503Carolina Hurricanes-Pittsburgh Penguins-
75520Pittsburgh Penguins-Ottawa Senators-
79533Pittsburgh Penguins-New York Islanders-
82559St. Louis Blues-Pittsburgh Penguins-
83567New York Islanders-Pittsburgh Penguins-
85576Washington Capitals-Pittsburgh Penguins-
87589Pittsburgh Penguins-Boston Bruins-
89613Buffalo Sabres-Pittsburgh Penguins-
91622Pittsburgh Penguins-Philadelphia Flyers-
94643Vancouver Canucks-Pittsburgh Penguins-
96658Pittsburgh Penguins-Carolina Hurricanes-
98677Seattle Kraken-Pittsburgh Penguins-
103715Pittsburgh Penguins-Vegas Golden Knights-
105727Pittsburgh Penguins-Utah Hockey Club-
109756Florida Panthers-Pittsburgh Penguins-
110767Montreal Canadiens-Pittsburgh Penguins-
120788Winnipeg Jets-Pittsburgh Penguins-
123801Pittsburgh Penguins-Minnesota Wild-
124810Pittsburgh Penguins-Winnipeg Jets-
128835Florida Panthers-Pittsburgh Penguins-
129845Pittsburgh Penguins-Chicago Blackhawks-
132865Los Angeles Kings-Pittsburgh Penguins-
134878New York Islanders-Pittsburgh Penguins-
136893Montreal Canadiens-Pittsburgh Penguins-
139917Philadelphia Flyers-Pittsburgh Penguins-
141937Pittsburgh Penguins-Vancouver Canucks-
143950Pittsburgh Penguins-Seattle Kraken-
145968Pittsburgh Penguins-Calgary Flames-
146974Pittsburgh Penguins-Edmonton Oilers-
148983Columbus Blue Jackets-Pittsburgh Penguins-
150998Washington Capitals-Pittsburgh Penguins-
1521012Pittsburgh Penguins-Boston Bruins-
1531022Edmonton Oilers-Pittsburgh Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1551034Pittsburgh Penguins-Ottawa Senators-
1571051San Jose Sharks-Pittsburgh Penguins-
1591061New York Rangers-Pittsburgh Penguins-
1601078Detroit Red Wings-Pittsburgh Penguins-
1621084Pittsburgh Penguins-New Jersey Devils-
1651110Pittsburgh Penguins-Dallas Stars-
1671125Pittsburgh Penguins-Colorado Avalanche-
1691138Carolina Hurricanes-Pittsburgh Penguins-
1711154Columbus Blue Jackets-Pittsburgh Penguins-
1731172Pittsburgh Penguins-Columbus Blue Jackets-
1751182Pittsburgh Penguins-New York Rangers-
1761191Pittsburgh Penguins-New Jersey Devils-
1781206Pittsburgh Penguins-Washington Capitals-
1801217Tampa Bay Lightning-Pittsburgh Penguins-
1821237Pittsburgh Penguins-Toronto Maple Leafs-
1851258Detroit Red Wings-Pittsburgh Penguins-
1871279Boston Bruins-Pittsburgh Penguins-
1891289Nashville Predators-Pittsburgh Penguins-
1911303Pittsburgh Penguins-New York Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance11,2129,6553,6797,3901,977
Attendance PCT93.43%96.55%91.98%92.38%98.85%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 16957 - 94.20% 1,144,472$2,288,944$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
4,985,408$ 81,972,560$ 81,972,560$ 1$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
81,972,560$ 4,985,408$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
44,634,408$ 180 426,940$ 76,849,200$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
77,988,800$ 7,229,964$ -26,124,428$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
81,972,560$ 5,727,440$ 87,700,000$ 81,972,560$



Charte de profondeur

Ailier gaucheCentreAilier droit
Michael BuntingAGE:29PO:48OV:70
Drew O'ConnorAGE:26PO:42OV:69
Matt NietoAGE:32PO:43OV:67
Radim ZohornaAGE:28PO:36OV:66
Sidney CrosbyAGE:37PO:41OV:78
Evgeni MalkinAGE:38PO:38OV:74
Lars EllerAGE:35PO:45OV:70
Jeff CarterAGE:40PO:33OV:69
Noel AcciariAGE:33PO:26OV:69
Emil BemstromAGE:25PO:57OV:67
Vinnie HinostrozaAGE:31PO:39OV:63
Jonathan GrudenAGE:24PO:61OV:59
Bryan RustAGE:32PO:40OV:73
Rickard RakellAGE:31PO:61OV:72
Reilly SmithAGE:34PO:39OV:72
Jesse PuljujarviAGE:26PO:85OV:66
Valtteri PuustinenAGE:25PO:47OV:62

Défense #1Défense #2Gardien
Erik KarlssonAGE:34PO:45OV:75
Kris LetangAGE:38PO:30OV:74
Ryan GravesAGE:29PO:49OV:69
Marcus PetterssonAGE:28PO:62OV:68
Pierre-Olivier JosephAGE:25PO:78OV:66
Ryan SheaAGE:28PO:50OV:64
John LudvigAGE:24PO:67OV:59
Tristan JarryAGE:29PO:59OV:76
Alex NedeljkovicAGE:29PO:63OV:72
Magnus HellbergAGE:34PO:50OV:61

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

Choix au repêchage

Année R1R2R3R4R5
2
3
4
5
6
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Pittsburgh Penguins Historique de transactions

[2025-04-24 20:36:06] New Record for Team's Most Penalties Minutes (21) in 1 Game for Pittsburgh Penguins!
[2025-04-24 20:36:06] New Record for Team's Most Shots Blocked (19) in 1 Game for Pittsburgh Penguins!
[2025-04-24 20:36:03] New Record for Team's Most Shots (39) in 1 Game for Pittsburgh Penguins!
[2025-04-24 20:36:03] New Record for Team's Most Points (19) in 1 Game for Pittsburgh Penguins!
[2025-04-24 20:36:03] New Record for Team's Most Assists (12) in 1 Game for Pittsburgh Penguins!
[2025-04-24 20:36:03] New Record for Team's Most Goals (7) in 1 Game for Pittsburgh Penguins!
[2025-04-24 20:36:00] New Record for Team's Most Shots Blocked (12) in 1 Game for Pittsburgh Penguins!
[2025-04-24 20:36:00] New Record for Team's Most Shots (33) in 1 Game for Pittsburgh Penguins!
[2025-04-24 20:36:00] New Record for Team's Most Points (15) in 1 Game for Pittsburgh Penguins!
[2025-04-24 20:36:00] New Record for Team's Most Assists (10) in 1 Game for Pittsburgh Penguins!
[2025-04-24 20:36:00] New Record for Team's Most Goals (5) in 1 Game for Pittsburgh Penguins!
[2025-04-24 19:59:48] New Record for Team's Most Hits (29) in 1 Game for Pittsburgh Penguins!
[2025-04-24 19:59:48] New Record for Team's Most Penalties Minutes (10) in 1 Game for Pittsburgh Penguins!
[2025-04-24 19:59:48] New Record for Team's Most Shots Blocked (8) in 1 Game for Pittsburgh Penguins!
[2025-04-24 19:59:48] New Record for Team's Most Shots (31) in 1 Game for Pittsburgh Penguins!
[2025-04-24 19:59:48] New Record for Team's Most Points (5) in 1 Game for Pittsburgh Penguins!
[2025-04-24 19:59:48] New Record for Team's Most Assists (3) in 1 Game for Pittsburgh Penguins!
[2025-04-24 19:59:48] New Record for Team's Most Goals (2) in 1 Game for Pittsburgh Penguins!
[2025-04-24 19:59:48] New Record for Team's Most Hits (29) in 1 Game for Pittsburgh Penguins!
[2025-04-24 19:59:48] New Record for Team's Most Shots (31) in 1 Game for Pittsburgh Penguins!
[2025-04-24 19:49:17] Wilkes-Barre/Scranton Penguins hired Blaine Forsythe for $1 for 1 year(s).
[2025-04-24 19:49:10] Pittsburgh Penguins hired Benoit Groulx for $1 for 1 year(s).
[2025-04-22 22:09:37] Magnus Hellberg was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Alex Nedeljkovic was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Tristan Jarry was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Ryan Shea was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Jonathan Gruden was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Vinnie Hinostroza was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Matt Nieto was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Pierre-Olivier Joseph was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Jesse Puljujarvi was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] John Ludvig was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Ryan Graves was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Noel Acciari was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Radim Zohorna was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Marcus Pettersson was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Valtteri Puustinen was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Emil Bemstrom was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Kris Letang was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Jeff Carter was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Erik Karlsson was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Reilly Smith was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Lars Eller was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Rickard Rakell was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Drew O'Connor was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Michael Bunting was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Evgeni Malkin was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Bryan Rust was added to Pittsburgh Penguins.
[2025-04-22 22:09:37] Sidney Crosby was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Magnus Hellberg was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Alex Nedeljkovic was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Tristan Jarry was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Ryan Shea was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Jonathan Gruden was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Vinnie Hinostroza was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Matt Nieto was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Jesse Puljujarvi was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] John Ludvig was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Ryan Graves was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Noel Acciari was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Radim Zohorna was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Marcus Pettersson was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Valtteri Puustinen was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Emil Bemstrom was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Kris Letang was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Jeff Carter was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Erik Karlsson was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Reilly Smith was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Lars Eller was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Rickard Rakell was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Drew O'Connor was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Michael Bunting was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Evgeni Malkin was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Bryan Rust was added to Pittsburgh Penguins.
[2025-03-28 08:42:39] Sidney Crosby was added to Pittsburgh Penguins.



Reilly Smith est dehors pour 2 semaines à cause de Groin Injury.



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