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Connexion

Penguins
GP: 82 | W: 36 | L: 29 | OTL: 17 | P: 89
GF: 252 | GA: 270 | PP%: 22.74% | PK%: 77.17%
DG: Maxime Roux | Morale : 40 | Moyenne d’équipe : 62

Centre de jeu
Penguins
36-29-17, 89pts
2
3 Bears
47-28-7, 101pts
Team Stats
OTL2SéquenceW2
22-12-7Fiche domicile21-17-3
14-17-10Fiche domicile26-11-4
5-1-4Derniers 10 matchs5-4-1
3.07Buts par match 3.57
3.29Buts contre par match 3.11
22.74%Pourcentage en avantage numérique21.10%
77.17%Pourcentage en désavantage numérique80.39%
Penguins
36-29-17, 89pts
2
3 Thunderbirds
46-29-7, 99pts
Team Stats
OTL2SéquenceW2
22-12-7Fiche domicile24-15-2
14-17-10Fiche domicile22-14-5
5-1-4Derniers 10 matchs6-4-0
3.07Buts par match 3.37
3.29Buts contre par match 3.11
22.74%Pourcentage en avantage numérique25.34%
77.17%Pourcentage en désavantage numérique78.12%
Meneurs d'équipe
Oskar BackButs
Oskar Back
33
Ville KoivunenPasses
Ville Koivunen
48
Ville KoivunenPoints
Ville Koivunen
76
Oskar BackPlus/Moins
Oskar Back
17
Jakub DobesVictoires
Jakub Dobes
28
Erik PortilloPourcentage d’arrêts
Erik Portillo
0.927

Statistiques d’équipe
Buts pour
252
3.07 GFG
Tirs pour
2588
31.56 Avg
Pourcentage en avantage numérique
22.7%
68 GF
Début de zone offensive
40.0%
Buts contre
270
3.29 GAA
Tirs contre
2723
33.21 Avg
Pourcentage en désavantage numérique
77.2%%
63 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralMaxime Roux
EntraîneurScott Allen
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,676
Billets de saison3,750


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 70
Espoirs35


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
1Oskar BackXX100.00733995668778856372656169626567040660263925,000$
2Ville Koivunen (R)X100.00563875666587746873706063656264040630233925,000$
3Jean-Luc FoudyX100.00573784646872745966605862616365040610242925,000$
4Bogdan TrineyevXX100.00743990578380835652545859576365040610242925,000$
5Chase BradleyX100.005838785968737156545859575663650406002431,499,999$
6Adam SykoraXX100.00593595576682865660585659556163040600212925,000$
7Nathan LegareXX100.00774166587479835652575955586465040600253925,000$
8Ben SteevesX100.00613972596185725660585753556365040590243925,000$
9Gleb Trikozov (R)X100.00723894578177625654525553586163040590223925,000$
10Jakub Stancl (R)X100.00753994568469605459535058526062040590213925,000$
11Danil ZhilkinX100.00663888567673785560545357556264040590222925,000$
12Matthew SeminoffXX100.00573889567068845557545358526264040590222925,000$
13Nick DeSimoneX100.00693895657982746430676061527173040650311925,000$
14Elias D. Pettersson (R)X100.00684074647778736230605663496163040620223925,000$
15Yan KuznetsovX100.00724085588877855730565559476365040610243925,000$
16Elias Salomonsson (R)X100.00603886626970695830635455476163040600223925,000$
17Simon LundmarkX100.00723988568164855530545357456567040600253925,000$
18Jake Furlong (R)X100.00663892557564715430535255466163040580223925,000$
Rayé
MOYENNE D’ÉQUIPE100.0066388660757576585058565954636504061
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
1Jakub Dobes100.0078878389777678777678776471040680252925,000$
2Erik Portillo100.0077837996767577767577766573040670252925,000$
Rayé
1Marcus Hogberg100.0074767196737274737274737185040660313925,000$
2Louis Domingue100.00748277857372747372747375870406603441,499,999$
3Vyacheslav Buteyets100.00577066885655575655575663690405602431,499,999$
MOYENNE D’ÉQUIPE100.007280759171707271707271687704065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Allen65717166888258USA592750,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’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
1Ville KoivunenPenguins (PIT)RW782848761419569168293892519.56%16157920.2471219732520000292342.37%17700010.9615001351
2Oskar BackPenguins (PIT)C/LW68333770173401012162707318212.22%26154222.6868145622011271711152.62%177300000.9127000462
3Elias D. PetterssonPenguins (PIT)D79163349-57010159981304010712.31%122179722.7511617742120000183200%000000.5500002310
4Jean-Luc FoudyPenguins (PIT)C82113748-1016075172221731554.98%17127015.50321245522700031223048.19%162900000.7604000111
5Bogdan TrineyevPenguins (PIT)LW/RW82202848-14435166951886015910.64%17158119.2889173522700041204044.74%15200000.6101010225
6Adam SykoraPenguins (PIT)C/LW82202242-18100381771965613010.20%20149218.2045921960003934148.35%169200100.5603000223
7Elias SalomonssonPenguins (PIT)D8263137-834076857727687.79%78144217.603101347221000280100%000000.5100000033
8Yan KuznetsovPenguins (PIT)D8142832-4495164577426435.41%102169220.8916722910001191200%000000.3800001112
9Ben SteevesPenguins (PIT)LW82151429-143558583150469710.00%16126015.37000130000213244.44%12600000.4600010030
10Nathan LegarePenguins (PIT)LW/RW8291827-74951898811026878.18%11106412.984812442270000702047.09%49900000.5103010210
11Chase BradleyPenguins (PIT)LW82101323-93407559117311098.55%1091811.2000000000011143.94%6600000.5001000122
12Jakub StanclPenguins (PIT)C8271219-6120277266114610.61%155606.84011210000022049.15%58800000.6800000100
13Matthew SeminoffPenguins (PIT)C/RW8211718-91205062105247610.48%2196611.78000020002730038.52%13500000.3700000011
14Hendrix LapierrePenguinsC/LW/RW175101594012486213608.06%532018.86112216000031062.03%26600000.9401000010
15Gleb TrikozovPenguins (PIT)LW824610-880263338122910.53%196017.3300000000001038.10%2100000.3311000000
16Simon LundmarkPenguins (PIT)D822810-11540140555114373.92%75126215.3921321730000131100%000000.1600000001
17Jake FurlongPenguins (PIT)D302579803414195910.53%3055918.65000140000100050.00%200000.2500000001
18Danil ZhilkinPenguins (PIT)C39235-1202121521013.33%11152.9600000000000033.33%300000.8700000000
Statistiques d’équipe totales ou en moyenne1294205360565-754933514881594218262816559.40%6012002715.485088138454189111222130830849.31%712900110.56426034202922
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
1Jakub DobesPenguins (PIT)682826120.8983.32389912021621200430.542246814330
2Erik PortilloPenguins (PIT)208350.9272.44108101446000000.83361468220
Statistiques d’équipe totales ou en moyenne883629170.9043.1349811212602720043308282550


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
Adam SykoraPenguins (PIT)C/LW212004-09-07SVKNo179 Lbs178 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Ben SteevesPenguins (PIT)LW242002-05-10USANo165 Lbs173 CMNoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Bogdan TrineyevPenguins (PIT)LW/RW242002-03-04RUSNo198 Lbs191 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Chase BradleyPenguins (PIT)LW242002-01-09USANo180 Lbs180 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Danil ZhilkinPenguins (PIT)C222003-12-19CANNo192 Lbs185 CMNoNoAssign ManuallyNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Elias D. PetterssonPenguins (PIT)D222004-02-16SWEYes185 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Elias SalomonssonPenguins (PIT)D222004-08-31SWEYes172 Lbs183 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Erik PortilloPenguins (PIT)G252000-09-03SWENo218 Lbs198 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Gleb TrikozovPenguins (PIT)LW222004-08-12RUSYes201 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jake FurlongPenguins (PIT)D222004-03-04CANYes189 Lbs185 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jakub DobesPenguins (PIT)G252001-05-27CZENo215 Lbs193 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jakub StanclPenguins (PIT)C212005-04-10CZEYes201 Lbs191 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jean-Luc FoudyPenguins (PIT)C242002-05-13CANNo177 Lbs180 CMNoNoN/ANoNo22024-06-05FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Louis DominguePenguins (PIT)G341992-03-06CANNo207 Lbs191 CMNoNoAssign ManuallyYesYes42024-07-17FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$1,499,999$------1,499,999$1,499,999$1,499,999$------NoNoNo------Lien / Lien NHL
Marcus HogbergPenguins (PIT)G311994-11-25SWENo234 Lbs196 CMNoNoFree AgentYesYes32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Matthew SeminoffPenguins (PIT)C/RW222003-12-27CANNo188 Lbs180 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nathan LegarePenguins (PIT)LW/RW252001-01-11CANNo200 Lbs183 CMNoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nick DeSimonePenguins (PIT)D311994-11-21USANo194 Lbs188 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Oskar BackPenguins (PIT)C/LW262000-03-12SWENo202 Lbs193 CMNoNoFree AgentNoNo32025-07-13FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Simon LundmarkPenguins (PIT)D252000-10-08SWENo201 Lbs188 CMNoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Ville KoivunenPenguins (PIT)RW232003-06-13FINYes161 Lbs180 CMNoNoTrade2025-07-12NoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Vyacheslav ButeyetsPenguins (PIT)G242002-05-29RUSNo210 Lbs193 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Yan KuznetsovPenguins (PIT)D242002-03-09RUSNo209 Lbs193 CMNoNoN/ANoNo32025-05-20FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.48195 Lbs188 CM2.651,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140023
2Ben SteevesAdam SykoraBogdan Trineyev30023
3Chase BradleyJean-Luc FoudyMatthew Seminoff20122
4Nathan LegareJakub StanclDanil Zhilkin10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake FurlongElias Salomonsson40122
239122
3Gleb TrikozovSimon Lundmark20122
41122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam Sykora60122
2Bogdan TrineyevJean-Luc FoudyNathan Legare40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon Lundmark60122
2Elias Salomonsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nathan LegareAdam Sykora60122
2Jean-Luc FoudyBogdan Trineyev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Elias SalomonssonSimon Lundmark60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Bogdan Trineyev60122Simon LundmarkElias Salomonsson60122
2Adam Sykora4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Bogdan TrineyevAdam Sykora60122
2Jean-Luc FoudyNathan Legare40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Elias SalomonssonJake Furlong60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bogdan TrineyevElias Salomonsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam SykoraJean-Luc FoudyElias Salomonsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Sykora, Jean-Luc Foudy, Bogdan TrineyevJakub Stancl, Nathan LegareMatthew Seminoff
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Elias Salomonsson, , Elias SalomonssonSimon Lundmark,
Tirs de pénalité
Nathan Legare, Adam Sykora, , Jean-Luc Foudy, Bogdan Trineyev
Gardien
#1 : Erik Portillo, #2 : Jakub Dobes


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
1Admirals21000001990110000006511000000134-130.750917260086867687484881488374641914578450.00%7357.14%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
2Americans312000001183211000008441010000034-120.333112132008686768101848814883741104325677114.29%10370.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
3Barracuda2110000067-1110000004311010000024-220.50061117108686768688488148837454198498112.50%4250.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
4Bears32000100131032200000011741000010023-150.833132033008686768748488148837411432245011327.27%12375.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
5Bruins320000011192110000005322100000166050.83311213200868676812584881488374872124728112.50%12375.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
6Canucks2020000049-51010000024-21010000025-300.00048120086867685484881488374742219467342.86%7357.14%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
7Checkers320000011174210000016421100000053250.8331121320186867681708488148837480172688500.00%12191.67%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
8Comets412010001113-22010100068-22110000055040.5001121320086867681168488148837415140337818316.67%13284.62%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
9Condors2110000067-1110000004221010000025-320.500612180086867685384881488374711014666233.33%7271.43%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
10Crunch31100010651110000002112010001044040.66761016008686768958488148837475232358900.00%90100.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
11Eagles20001100990100010005411000010045-130.750915240086867687484881488374791312389333.33%6266.67%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
12Firebirds2110000067-1110000003121010000036-320.500611170086867685184881488374541724455120.00%10370.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
13Griffins31100001990210000019811010000001-130.50091625008686768102848814883748223286514321.43%5260.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
14Gulls2020000047-31010000023-11010000024-200.0004812008686768578488148837458271041600.00%50100.00%11429285150.12%1456292849.73%683135650.37%1955134919656091063532
15Heat21001000972100010004311100000054141.000918270086867685484881488374631714526466.67%70100.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
16IceHogs2110000045-11010000013-21100000032120.50048120086867686584881488374501664814214.29%20100.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
17Marlies3200000111101110000002112100000199050.8331120310086867681028488148837411330227414428.57%10460.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
18Monsters4120000169-3211000005502010000114-330.37561117008686768109848814883741294532971417.14%16381.25%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
19Moose211000007701010000035-21100000042220.500712190086867685184881488374852720536350.00%9188.89%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
20Phantoms42100100131302110000078-12100010065150.6251324370086867681128488148837412445267913538.46%11190.91%11429285150.12%1456292849.73%683135650.37%1955134919656091063532
21Reign2010010058-31000010023-11010000035-210.25058131086867684984881488374732716507228.57%8187.50%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
22Roadrunners21000001844110000006151000000123-130.750813210086867686684881488374832116469444.44%8187.50%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
23Rocket32100000910-12110000057-21100000043140.667917260086867681088488148837410932187615533.33%8187.50%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
24Senators31200000121201010000045-12110000087120.33312223400868676891848814883749525157018527.78%5340.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
25Silver Knights2000020057-21000010034-11000010023-120.50051015008686768678488148837461141445400.00%6183.33%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
26Sound Tigers3120000089-11010000034-12110000055020.33381523008686768808488148837496331960800.00%60100.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
27Stars2010010059-41000010034-11010000025-310.2505101500868676864848814883747218103810330.00%4175.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
28Thunderbirds2000020068-21000010045-11000010023-120.50061117008686768488488148837487253137400.00%11190.91%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
29Wild22000000862110000005411100000032141.000812200086867687484881488374581222468112.50%11463.64%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
30Wolf Pack422000001114-3220000008622020000038-540.5001117281086867681238488148837412150449012325.00%21576.19%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
31Wolves41200100916-72010010059-42110000047-330.375916250086867681118488148837415137281001616.25%14750.00%01429285150.12%1456292849.73%683135650.37%1955134919656091063532
Total823229031017252270-1841191203502143134941131700515109136-27890.543252456708318686768258884881488374272380063718812996822.74%2766377.17%21429285150.12%1456292849.73%683135650.37%1955134919656091063532
_Since Last GM Reset823229031017252270-1841191203502143134941131700515109136-27890.543252456708318686768258884881488374272380063718812996822.74%2766377.17%21429285150.12%1456292849.73%683135650.37%1955134919656091063532
_Vs Conference50221801315151154-325138011028680625910002136574-9560.560151272423118686768161984881488374163749638711241823519.23%1643876.83%11429285150.12%1456292849.73%683135650.37%1955134919656091063532
_Vs Division261011013017184-131365011004547-21346002012637-11260.5007112419510868676872584881488374886282206554921617.39%932177.42%11429285150.12%1456292849.73%683135650.37%1955134919656091063532

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8289OTL225245670825882723800637188131
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
82322931017252270
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119123502143134
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4113170515109136
Derniers 10 matchs
WLOTWOTL SOWSOL
510301
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2996822.74%2766377.17%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
848814883748686768
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
1429285150.12%1456292849.73%683135650.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1955134919656091063532


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
1 - 2025-09-262Penguins1Wolf Pack4LSommaire du match
3 - 2025-09-2813Sound Tigers4Penguins3LSommaire du match
5 - 2025-09-3029Wolf Pack3Penguins4WSommaire du match
8 - 2025-10-0356Penguins2Gulls4LSommaire du match
10 - 2025-10-0571Penguins3Reign5LSommaire du match
12 - 2025-10-0788Penguins2Barracuda4LSommaire du match
15 - 2025-10-10101Canucks4Penguins2LSommaire du match
17 - 2025-10-12114Penguins5Checkers3WSommaire du match
19 - 2025-10-14134Monsters2Penguins4WSommaire du match
21 - 2025-10-16148Thunderbirds5Penguins4LXSommaire du match
22 - 2025-10-17150Penguins4Phantoms2WSommaire du match
24 - 2025-10-19173Penguins3Wild2WSommaire du match
26 - 2025-10-21182Penguins4Moose2WSommaire du match
28 - 2025-10-23199Penguins5Marlies4WSommaire du match
31 - 2025-10-26221Bears5Penguins6WSommaire du match
33 - 2025-10-28231Penguins3Comets2WSommaire du match
34 - 2025-10-29245Reign3Penguins2LXSommaire du match
39 - 2025-11-03281Penguins3Admirals4LXXSommaire du match
41 - 2025-11-05296Admirals5Penguins6WSommaire du match
46 - 2025-11-10332Wild4Penguins5WSommaire du match
47 - 2025-11-11340Firebirds1Penguins3WSommaire du match
51 - 2025-11-15366Americans3Penguins2LSommaire du match
53 - 2025-11-17388Penguins0Monsters2LSommaire du match
54 - 2025-11-18396Marlies1Penguins2WSommaire du match
56 - 2025-11-20407Penguins2Phantoms3LXSommaire du match
59 - 2025-11-23428Penguins2Crunch3LSommaire du match
62 - 2025-11-26456Penguins2Stars5LSommaire du match
64 - 2025-11-28470Gulls3Penguins2LSommaire du match
66 - 2025-11-30484Rocket5Penguins2LSommaire du match
68 - 2025-12-02497Barracuda3Penguins4WSommaire du match
69 - 2025-12-03509Roadrunners1Penguins6WSommaire du match
71 - 2025-12-05524Condors2Penguins4WSommaire du match
73 - 2025-12-07537Penguins2Senators5LSommaire du match
75 - 2025-12-09556Penguins4Rocket3WSommaire du match
76 - 2025-12-10566Rocket2Penguins3WSommaire du match
78 - 2025-12-12575Penguins4Marlies5LXXSommaire du match
83 - 2025-12-17604Penguins3IceHogs2WSommaire du match
85 - 2025-12-19619Wolves4Penguins1LSommaire du match
87 - 2025-12-21635Griffins5Penguins4LXXSommaire du match
89 - 2025-12-23644Penguins0Griffins1LSommaire du match
90 - 2025-12-24658Penguins1Monsters2LXXSommaire du match
94 - 2025-12-28687Comets3Penguins4WXSommaire du match
96 - 2025-12-30698Heat3Penguins4WXSommaire du match
97 - 2025-12-31712Penguins3Bruins4LXXSommaire du match
99 - 2026-01-02726Crunch1Penguins2WSommaire du match
101 - 2026-01-04741Phantoms3Penguins4WSommaire du match
103 - 2026-01-06760Monsters3Penguins1LSommaire du match
105 - 2026-01-08772Penguins3Firebirds6LSommaire du match
107 - 2026-01-10791Penguins5Heat4WSommaire du match
108 - 2026-01-11800Penguins2Condors5LSommaire du match
111 - 2026-01-14822Penguins2Canucks5LSommaire du match
115 - 2026-01-18850IceHogs3Penguins1LSommaire du match
117 - 2026-01-20861Wolf Pack3Penguins4WSommaire du match
119 - 2026-01-22877Senators5Penguins4LSommaire du match
120 - 2026-01-23888Penguins2Sound Tigers4LSommaire du match
122 - 2026-01-25903Penguins3Americans4LSommaire du match
143 - 2026-02-15922Comets5Penguins2LSommaire du match
145 - 2026-02-17934Penguins2Wolf Pack4LSommaire du match
146 - 2026-02-18947Silver Knights4Penguins3LXSommaire du match
148 - 2026-02-20959Penguins3Bruins2WSommaire du match
150 - 2026-02-22977Americans1Penguins6WSommaire du match
152 - 2026-02-24993Phantoms5Penguins3LSommaire du match
153 - 2026-02-251002Bruins3Penguins5WSommaire du match
155 - 2026-02-271018Penguins2Wolves6LSommaire du match
157 - 2026-03-011039Penguins2Silver Knights3LXSommaire du match
159 - 2026-03-031054Penguins2Roadrunners3LXXSommaire du match
161 - 2026-03-051067Penguins4Eagles5LXSommaire du match
163 - 2026-03-071078Penguins2Wolves1WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2026-03-101099Moose5Penguins3LSommaire du match
167 - 2026-03-111112Wolves5Penguins4LXSommaire du match
169 - 2026-03-131126Eagles4Penguins5WXSommaire du match
171 - 2026-03-151138Penguins6Senators2WSommaire du match
173 - 2026-03-171156Stars4Penguins3LXSommaire du match
175 - 2026-03-191173Penguins3Sound Tigers1WSommaire du match
176 - 2026-03-201183Griffins3Penguins5WSommaire du match
178 - 2026-03-221192Penguins2Crunch1WXXSommaire du match
180 - 2026-03-241211Checkers0Penguins3WSommaire du match
181 - 2026-03-251223Checkers4Penguins3LXXSommaire du match
185 - 2026-03-291251Penguins2Comets3LSommaire du match
187 - 2026-03-311263Bears2Penguins5WSommaire du match
188 - 2026-04-011276Penguins2Bears3LXSommaire du match
190 - 2026-04-031299Penguins2Thunderbirds3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance114,97876,720
Assistance PCT93.48%93.56%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 4676 - 93.51% 143,338$5,876,863$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,178,469$ 2,300,000$ 2,300,000$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,428,471$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,803$ 0$




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

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

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

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

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