Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
Connexion

Penguins
GP: 23 | W: 12 | L: 10 | OTL: 1 | P: 25
GF: 93 | GA: 91 | PP%: 17.78% | PK%: 83.50%
DG: Sylvain Leblanc | Morale : 42 | Moyenne d’équipe : 64
Prochains matchs #316 vs Condors
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Comets
14-8-2, 30pts
4
FINAL
3 Penguins
12-10-1, 25pts
Team Stats
W2SéquenceL1
7-3-2Fiche domicile5-6-1
7-5-0Fiche domicile7-4-0
6-3-1Derniers 10 matchs4-5-1
4.33Buts par match 4.04
3.83Buts contre par match 3.96
17.98%Pourcentage en avantage numérique17.78%
83.87%Pourcentage en désavantage numérique83.50%
Penguins
12-10-1, 25pts
1
FINAL
3 Admirals
10-10-4, 24pts
Team Stats
L1SéquenceW1
5-6-1Fiche domicile4-6-2
7-4-0Fiche domicile6-4-2
4-5-1Derniers 10 matchs6-3-1
4.04Buts par match 4.42
3.96Buts contre par match 4.63
17.78%Pourcentage en avantage numérique22.77%
83.50%Pourcentage en désavantage numérique79.59%
Condors
14-9-1, 29pts
Jour 62
Penguins
12-10-1, 25pts
Statistiques d’équipe
SOW1SéquenceL1
8-3-1Fiche domicile5-6-1
6-6-0Fiche visiteur7-4-0
8-2-010 derniers matchs4-5-1
4.29Buts par match 4.04
4.25Buts contre par match 4.04
15.00%Pourcentage en avantage numérique17.78%
80.37%Pourcentage en désavantage numérique83.50%
Firebirds
9-12-3, 21pts
Jour 66
Penguins
12-10-1, 25pts
Statistiques d’équipe
W1SéquenceL1
4-7-1Fiche domicile5-6-1
5-5-2Fiche visiteur7-4-0
4-6-010 derniers matchs4-5-1
3.33Buts par match 4.04
4.00Buts contre par match 4.04
23.91%Pourcentage en avantage numérique17.78%
79.61%Pourcentage en désavantage numérique83.50%
Penguins
12-10-1, 25pts
Jour 68
Wranglers
14-9-1, 29pts
Statistiques d’équipe
L1SéquenceOTW1
5-6-1Fiche domicile7-4-1
7-4-0Fiche visiteur7-5-0
4-5-110 derniers matchs7-2-1
4.04Buts par match 4.71
3.96Buts contre par match 4.71
17.78%Pourcentage en avantage numérique23.16%
83.50%Pourcentage en désavantage numérique77.27%
Meneurs d'équipe
Buts
Matthew Boldy
14
Passes
Clayton Keller
24
Points
Clayton Keller
30
Plus/Moins
Dakota Mermis
17
Victoires
Anthony Stolarz
8
Pourcentage d’arrêts
Spencer Knight
0.892

Statistiques d’équipe
Buts pour
93
4.04 GFG
Tirs pour
760
33.04 Avg
Pourcentage en avantage numérique
17.8%
16 GF
Début de zone offensive
36.6%
Buts contre
91
3.96 GAA
Tirs contre
772
33.57 Avg
Pourcentage en désavantage numérique
83.5%%
17 GA
Début de la zone défensive
36.6%
Informations de l'équipe

Directeur généralSylvain Leblanc
EntraîneurBrent Sutter
DivisionPaul-Loicq
ConférenceLouis-Magnus
CapitaineDakota Mermis
Assistant #1Matthew Finn
Assistant #2Sam Kurker


Informations de l’aréna

Capacité3,000
Assistance2,832
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 250
Espoirs0


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
1Evan RodriguesX100.0067537975777974726975747178655542507202621,500,000$
2Denis Malgin (R)X100.007538777268737474756971627448485052690222700,000$
3Clayton Keller (R)X100.006226777568687273788074485746455648680212900,000$
4Philipp Kurashev (R)X100.005926787157677171738475496045436155670201500,000$
5Jeff Malott (R)X100.006937686578646566717383506850494947670232600,000$
6Jesper Boqvist (R)X100.006535786379676575636481496346465248660212600,000$
7Matthew Boldy (R)X100.005531778056725281686670588540409148660182500,000$
8Jesperi Kotkaniemi (R)X100.007335776568736473706361626843426947640191500,000$
9Josh Ho-Sang (R)X100.006039716968697171576571396145453648630231500,000$
10Sampo Ranta (R)X100.006738655968477569566960604941426953610191500,000$
11Dmitry Voronkov (R)X100.007145636678487968485656524943427454590192500,000$
12Valtteri Puustinen (R)X100.004838765655617063647166384842455829590202500,000$
13Dakota Mermis (R) (C)X100.007037837875747269577473726970534055720251900,000$
14Noah Dobson (R)X100.006343826466706963546355705943426849640191500,000$
15Marc Del Gaizo (R)X100.004933697761466577397359745044446254640202500,000$
16Austin Strand (R)X100.006132706066617170416350655346484619620221500,000$
17Bowen Byram (R)X100.004626787949475769256850603740407445580182500,000$
18Artemi Kniazev (R)X100.006035746448615359315848653940407348580182500,000$
Rayé
1Adam Brooks (R)X100.007435816582676872737681566958484819700233800,000$
2Sam Kurker (R) (A)X100.007043706877638075667174596248503039680251600,000$
3Juuso Ikonen (R)X100.005935797269636375656771666746483222670241600,000$
4Ryan MacInnis (R)X100.005140717454665782725960537547473420630231550,000$
5Kevin Stenlund (R)X100.006636666271596868696863565549473619620231500,000$
6Shawn Boudrias (R)X100.005835745959545861566361516143435520580201500,000$
7Nolan Foote (R)X100.005225725866566057525569387041426019560192500,000$
8Matthew Finn (R) (A)X92.816328807268676575456954735550512742670251600,000$
9Ryan Johnson (R)X100.005217616645524965246346504240406320530182500,000$
MOYENNE D’ÉQUIPE99.73623574686663667058686557604745544064
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
1Anthony Stolarz99.00706877586272726555776551543558660251700,000$
2Spencer Knight (R)100.00855365837658506571477340407935630182500,000$
Rayé
1Zachary Bouthillier100.00545961555264495258525742435743540201500,000$
MOYENNE D’ÉQUIPE99.6770606865636557616159654446574561
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brent Sutter90646987405956Can523500,000$


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
1Clayton KellerPenguins (Pit)RW2362430-110036239035626.67%246520.231897780000241046.51%43239111.2901000220
2Denis MalginPenguins (Pit)C2312172910180314956164521.43%1049121.383366621234874152.37%653913001.1812000303
3Matthew BoldyPenguins (Pit)LW231411250240332790265215.56%843919.113472174000002051.52%33233001.1400000132
4Dakota MermisPenguins (Pit)D23615211760285141222014.63%3464227.96202688022198000%01929000.6500000131
5Philipp KurashevPenguins (Pit)C2361218-2100372150203912.00%738416.744269650000130043.95%339143000.9400000000
6Josh Ho-SangPenguins (Pit)RW236814-54015845191913.33%22149.3300003000000050.00%262001.3100000000
7Matthew FinnPenguins (Pit)D21211131220032442811177.14%2751324.47000659000081010%0520000.5100000001
8Evan RodriguesPenguins (Pit)LW96713620191338141815.79%817018.93033221000129200%544001.5301000111
9Jesperi KotkaniemiPenguins (Pit)C23381126039225217235.77%731613.750220150001500052.00%17584000.7000000001
10Jeff MalottPenguins (Pit)LW236511-710030846142913.04%528412.381122190000331057.14%7115000.7700000002
11Jesper BoqvistPenguins (Pit)RW235510880231637132713.51%230513.27112236000000040.00%1567000.6600000110
12Marc Del GaizoPenguins (Pit)D23099-31608322614150%3539717.29022035000137000%0811000.4500000000
13Noah DobsonPenguins (Pit)D23257-4601627301386.67%2949521.54000056000067000%0319000.2800000000
14Sampo RantaPenguins (Pit)LW23325-3100231620101515.00%92038.83000000000131025.00%445000.4900000000
15Dmitry VoronkovPenguins (Pit)C23224-7601713146914.29%31797.8000000000000034.67%7524000.4500000000
16Nick BlankenburgPenguinsD9033-2608106360%1215417.13000010000032000%0110000.3900000000
17Bowen ByramPenguins (Pit)D24033-120032715560%2331313.060000300007000%0511000.1900000000
18Artemi KniazevPenguins (Pit)D23033-260102211460%1927512.0000000000014000%009000.2200000000
19Sam KurkerPenguins (Pit)RW101121601910179125.88%315715.800002250000140040.00%535000.2500000000
20Valtteri PuustinenPenguins (Pit)RW13202-54054135915.38%0977.46000000000000100.00%200000.4100000000
21Austin StrandPenguins (Pit)D2011-240511210%14020.200111500005000%020000.5000000000
Statistiques d’équipe totales ou en moyenne410821522341182043744472627843811.29%246654415.9615274264663145861211248.67%1358156173110.721400091011
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
1Anthony StolarzPenguins (Pit)198810.8823.9110276067568289200.5006185120
2Spencer KnightPenguins (Pit)64200.8923.6433000201851091000510000
3Zachary BouthillierPenguins (Pit)10000.8426.00300031910000008000
Statistiques d’équipe totales ou en moyenne26121010.8833.89138860907724083062323120


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 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 restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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 BrooksPenguins (Pit)C231996-01-01Yes181 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm800,000$558,416$0$0$No800,000$800,000$-------NoNo-------
Anthony StolarzPenguins (Pit)G251994-01-01No210 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm700,000$488,614$0$0$No------------------
Artemi KniazevPenguins (Pit)D182001-01-01Yes179 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Austin StrandPenguins (Pit)D221997-01-01Yes215 Lbs6 ft3NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Bowen ByramPenguins (Pit)D182001-01-01Yes190 Lbs6 ft1NoNoTrade2024-11-27NoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Clayton KellerPenguins (Pit)RW211998-01-01Yes170 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm900,000$628,218$0$0$No900,000$--------No--------
Dakota MermisPenguins (Pit)D251994-01-01Yes185 Lbs5 ft11NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Denis MalginPenguins (Pit)C221997-01-01Yes177 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm700,000$488,614$0$0$No700,000$--------No--------
Dmitry VoronkovPenguins (Pit)C192000-01-01Yes240 Lbs6 ft5NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Evan RodriguesPenguins (Pit)LW261993-01-01No184 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,047,030$0$0$No2,000,000$--------No--------
Jeff MalottPenguins (Pit)LW231996-01-01Yes201 Lbs6 ft3NoNoFree AgentNoNo22024-09-07FalseFalsePro & Farm600,000$418,812$0$0$No600,000$--------No--------
Jesper BoqvistPenguins (Pit)RW211998-01-01Yes180 Lbs6 ft0NoNoFree AgentNoNo22024-09-07FalseFalsePro & Farm600,000$418,812$0$0$No700,000$--------No--------
Jesperi KotkaniemiPenguins (Pit)C192000-01-01Yes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Josh Ho-SangPenguins (Pit)RW231996-01-01Yes173 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Juuso IkonenPenguins (Pit)LW241995-01-01Yes185 Lbs5 ft9NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Kevin StenlundPenguins (Pit)C231996-01-01Yes209 Lbs6 ft4NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Marc Del GaizoPenguins (Pit)D201999-01-01Yes187 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Matthew BoldyPenguins (Pit)LW182001-01-01Yes201 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Matthew FinnPenguins (Pit)D251994-01-01Yes199 Lbs6 ft0NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Noah DobsonPenguins (Pit)D192000-01-01Yes194 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Nolan FootePenguins (Pit)LW192000-01-01Yes196 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Philipp KurashevPenguins (Pit)C201999-01-01Yes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Ryan JohnsonPenguins (Pit)D182001-01-01Yes194 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Ryan MacInnisPenguins (Pit)C231996-01-01Yes191 Lbs6 ft4NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm550,000$383,911$0$0$No------------------
Sam KurkerPenguins (Pit)RW251994-01-01Yes201 Lbs6 ft2NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Sampo RantaPenguins (Pit)LW192000-01-01Yes195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Shawn BoudriasPenguins (Pit)RW201999-01-01Yes223 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Spencer KnightPenguins (Pit)G182001-01-01Yes192 Lbs6 ft3NoNoTrade2024-08-08NoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Valtteri PuustinenPenguins (Pit)RW201999-01-01Yes183 Lbs5 ft9NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Zachary BouthillierPenguins (Pit)G201999-01-01No193 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3021.20194 Lbs6 ft11.53601,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evan RodriguesDenis MalginClayton Keller40122
2Jeff MalottPhilipp KurashevJesper Boqvist30122
3Matthew BoldyJesperi KotkaniemiJosh Ho-Sang20122
4Sampo RantaDmitry VoronkovValtteri Puustinen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisNoah Dobson40122
2Marc Del GaizoAustin Strand30122
3Bowen ByramArtemi Kniazev20122
4Dakota MermisNoah Dobson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evan RodriguesDenis MalginClayton Keller60122
2Jeff MalottPhilipp KurashevJesper Boqvist40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisNoah Dobson60122
2Marc Del GaizoAustin Strand40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Denis MalginEvan Rodrigues60122
2Philipp KurashevJeff Malott40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisNoah Dobson60122
2Marc Del GaizoAustin Strand40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Denis Malgin60122Dakota MermisNoah Dobson60122
2Philipp Kurashev40122Marc Del GaizoAustin Strand40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Denis MalginEvan Rodrigues60122
2Philipp KurashevJeff Malott40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dakota MermisNoah Dobson60122
2Marc Del GaizoAustin Strand40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evan RodriguesDenis MalginClayton KellerDakota MermisNoah Dobson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evan RodriguesDenis MalginClayton KellerDakota MermisNoah Dobson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Philipp Kurashev, Jesper Boqvist, Matthew BoldyPhilipp Kurashev, Jesper BoqvistPhilipp Kurashev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Austin Strand, Bowen Byram, Artemi KniazevAustin StrandAustin Strand, Bowen Byram
Tirs de pénalité
Evan Rodrigues, Denis Malgin, Clayton Keller, Jeff Malott, Philipp Kurashev
Gardien
#1 : Anthony Stolarz, #2 : Spencer Knight
Lignes d’attaque personnalisées en prolongation
Evan Rodrigues, Denis Malgin, Clayton Keller, Jeff Malott, Philipp Kurashev, Jesper Boqvist, Jesper Boqvist, Matthew Boldy, Jesperi Kotkaniemi, Josh Ho-Sang, Sampo Ranta
Lignes de défense personnalisées en prolongation
Dakota Mermis, Noah Dobson, Marc Del Gaizo, Austin Strand, Bowen Byram


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
1Admirals1010000013-2000000000001010000013-200.00011200283429328275250227133412825400.00%40100.00%027252352.01%24452346.65%18138347.26%477265499219414199
2Bears11000000413000000000001100000041321.000471100283429333275250227133013819100.00%40100.00%027252352.01%24452346.65%18138347.26%477265499219414199
3Checkers211000001091110000007251010000037-420.500101626002834293602752502271367262641800.00%13192.31%127252352.01%24452346.65%18138347.26%477265499219414199
4Comets21000001550210000015500000000000030.75058130028342937527525022713741712525240.00%6183.33%027252352.01%24452346.65%18138347.26%477265499219414199
5Crunch22000000927110000005141100000041341.0009152400283429358275250227135721273612325.00%11190.91%027252352.01%24452346.65%18138347.26%477265499219414199
6Eagles211000007701010000024-21100000053220.5007121900283429362275250227137322243010110.00%12283.33%227252352.01%24452346.65%18138347.26%477265499219414199
7Gulls2110000079-2110000005321010000026-420.50071219002834293602752502271365171848700.00%9188.89%027252352.01%24452346.65%18138347.26%477265499219414199
8Icehogs10000010651000000000001000001065121.0006713002834293322752502271343164204125.00%220.00%027252352.01%24452346.65%18138347.26%477265499219414199
9Islander302010001017-7302010001017-70000000000020.3331017270028342931122752502271310528206215213.33%10460.00%027252352.01%24452346.65%18138347.26%477265499219414199
10Phantoms11000000633000000000001100000063321.0006111700283429336275250227133214615000%30100.00%027252352.01%24452346.65%18138347.26%477265499219414199
11Rockets312000001114-31010000025-32110000099020.333112031002834293103275250227138827305412216.67%15380.00%027252352.01%24452346.65%18138347.26%477265499219414199
12Senators1010000056-11010000056-10000000000000.00057120028342932627525022713401010143133.33%40100.00%027252352.01%24452346.65%18138347.26%477265499219414199
13Wolfpack21100000121021010000056-11100000074320.5001221330028342937527525022713642220509444.44%10280.00%027252352.01%24452346.65%18138347.26%477265499219414199
Total23101001011939121246010014649-311640001047425250.5439315424700283429376027525022713772245213466901617.78%1031783.50%327252352.01%24452346.65%18138347.26%477265499219414199
_Since Last GM Reset23101001011939121246010014649-311640001047425250.5439315424700283429376027525022713772245213466901617.78%1031783.50%327252352.01%24452346.65%18138347.26%477265499219414199
_Vs Conference14750100157516934010013435-15410000023167170.607579615300283429347527525022713470149137290601220.00%661183.33%327252352.01%24452346.65%18138347.26%477265499219414199
_Vs Division8530000038281042200000191364310000019154100.625386410200283429325527525022713261919715739820.51%46686.96%327252352.01%24452346.65%18138347.26%477265499219414199

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2325L19315424776077224521346600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
23101010119391
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
124610014649
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
116400104742
Derniers 10 matchs
WLOTWOTL SOWSOL
351001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
901617.78%1031783.50%3
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
275250227132834293
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
27252352.01%24452346.65%18138347.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
477265499219414199


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
11Penguins7Wolfpack4WR1Sommaire du match
416Islander7Penguins4LSommaire du match
628Penguins3Checkers7LR1Sommaire du match
943Checkers2Penguins7WSommaire du match
1464Crunch1Penguins5WSommaire du match
1780Penguins4Crunch1WSommaire du match
1991Comets1Penguins2WSommaire du match
21108Eagles4Penguins2LSommaire du match
23117Penguins5Eagles3WSommaire du match
26131Penguins4Bears1WSommaire du match
27140Islander7Penguins2LSommaire du match
30153Penguins6Icehogs5WXXSommaire du match
32166Wolfpack6Penguins5LR1Sommaire du match
36189Rockets5Penguins2LSommaire du match
39200Penguins7Rockets5WSommaire du match
41212Penguins2Gulls6LSommaire du match
43218Gulls3Penguins5WSommaire du match
48240Senators6Penguins5LSommaire du match
50250Penguins6Phantoms3WSommaire du match
52264Islander3Penguins4WXSommaire du match
55279Penguins2Rockets4LSommaire du match
57290Comets4Penguins3LXXSommaire du match
60302Penguins1Admirals3LSommaire du match
62316Condors-Penguins-
66339Firebirds-Penguins-
68347Penguins-Wranglers-
71367Little Stars-Penguins-
73377Penguins-Crunch-
77393Canucks-Penguins-
80411Penguins-Barracuda-
82420Barracuda-Penguins-
86441Penguins-Checkers-
87447Rockets-Penguins-
91466Penguins-Wolfpack-
92473Moose-Penguins-
96495Crunch-Penguins-
98503Penguins-Marlies-
100512Penguins-Comets-
102520Penguins-Eagles-
104529Checkers-Penguins-
106541Penguins-Islander-
108552Admirals-Penguins-
110564Penguins-Condors-
113577Icehogs-Penguins-
115589Penguins-Canucks-
118605Phantoms-Penguins-
120614Penguins-Moose-
122624Penguins-Wolfpack-
124633Crunch-Penguins-
127650Penguins-Americans-
129659Penguins-Icehogs-
130666Eagles-Penguins-
133687Thunderbirds-Penguins-
135696Penguins-Thunderbirds-
137713Checkers-Penguins-
139722Penguins-Little Stars-
141732Penguins-Bears-
142742Penguins-Canucks-
143749Bears-Penguins-
147769Punishers-Penguins-
150786Penguins-Eagles-
152795Penguins-Crunch-
153802Marlies-Penguins-
156813Penguins-Griffins-
158826Wranglers-Penguins-
161843Penguins-Thunderbirds-
163854Comets-Penguins-
164860Penguins-Punishers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
167875Wolfpack-Penguins-
171890Penguins-Firebirds-
172897Penguins-Senators-
174907Wolfpack-Penguins-
177929Penguins-Little Stars-
178936Gulls-Penguins-
182955Americans-Penguins-
187976Griffins-Penguins-
1921001Eagles-Penguins-
1941016Punishers-Penguins-
1951020Penguins-Firebirds-
2001039Penguins-Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance22,62711,357
Assistance PCT94.28%94.64%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2832 - 94.40% 178,340$2,140,080$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
687,207$ 1,805,000$ 1,700,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,936$ 532,512$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,993,520$ 141 11,411$ 1,608,951$




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