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Penguins
GP: 8 | W: 5 | L: 3
GF: 28 | GA: 24 | PP%: 23.08% | PK%: 82.05%
DG: Roger Surette | Morale : 40 | Moyenne d’équipe : 68
Prochains matchs #66 vs Manitoba Moose

Centre de jeu
Penguins
5-3-0, 10pts
6
3 Manitoba Moose
1-1-0, 2pts
Team Stats
L1SéquenceW1
3-0-0Fiche domicile1-1-0
2-3-0Fiche domicile0-0-0
5-3-0Derniers 10 matchs1-1-0
3.50Buts par match 3.50
3.00Buts contre par match 3.50
23.08%Pourcentage en avantage numérique16.67%
82.05%Pourcentage en désavantage numérique100.00%
Penguins
5-3-0, 10pts
1
4 Manitoba Moose
1-1-0, 2pts
Team Stats
L1SéquenceW1
3-0-0Fiche domicile1-1-0
2-3-0Fiche domicile0-0-0
5-3-0Derniers 10 matchs1-1-0
3.50Buts par match 3.50
3.00Buts contre par match 3.50
23.08%Pourcentage en avantage numérique16.67%
82.05%Pourcentage en désavantage numérique100.00%
Manitoba Moose
1-1-0, 2pts
2026-05-15
Penguins
5-3-0, 10pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile3-0-0
0-0-0Fiche visiteur2-3-0
1-1-010 derniers matchs5-3-0
3.50Buts par match 3.50
3.50Buts contre par match 3.50
16.67%Pourcentage en avantage numérique23.08%
100.00%Pourcentage en désavantage numérique82.05%
Manitoba Moose
1-1-0, 2pts
2026-05-17
Penguins
5-3-0, 10pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile3-0-0
0-0-0Fiche visiteur2-3-0
1-1-010 derniers matchs5-3-0
3.50Buts par match 3.50
3.50Buts contre par match 3.50
16.67%Pourcentage en avantage numérique23.08%
100.00%Pourcentage en désavantage numérique82.05%
Penguins
5-3-0, 10pts
2026-05-19
Manitoba Moose
1-1-0, 2pts
Statistiques d’équipe
L1SéquenceW1
3-0-0Fiche domicile1-1-0
2-3-0Fiche visiteur0-0-0
5-3-010 derniers matchs1-1-0
3.50Buts par match 3.50
3.00Buts contre par match 3.50
23.08%Pourcentage en avantage numérique16.67%
82.05%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Adam Edstrom
4
Nicolas HaguePasses
Nicolas Hague
7
Conor TimminsPoints
Conor Timmins
9
Nicolas HaguePlus/Moins
Nicolas Hague
5
Victoires
Arturs Silovs
5
Pourcentage d’arrêts
Brandon Bussi
0.902

Statistiques d’équipe
Buts pour
28
3.50 GFG
Tirs pour
290
36.25 Avg
Pourcentage en avantage numérique
23.1%
6 GF
Début de zone offensive
43.6%
Buts contre
24
3.00 GAA
Tirs contre
236
29.50 Avg
Pourcentage en désavantage numérique
82.1%%
7 GA
Début de la zone défensive
36.1%
Informations de l'équipe

Directeur généralRoger Surette
EntraîneurLuke Richardson
DivisionAtlantic Division
ConférenceConférence EST
Capitaine
Assistant #1Tye Kartye
Assistant #2Dakota Joshua


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 70
Espoirs20


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
1Jesperi Kotkaniemi0XX98.006966827377609166826967685868590407302514,820,000$
2Yakov Trenin0XX100.008066837475569160616263735465590407102923,500,000$
3Adam Edstrom0XXX100.00796588789248675952616474545658040710251847,000$
4Dakota Joshua (A)0XX99.007968856878578361646265695461580407002923,250,000$
5Kevin Labanc0XX98.00754084716751696352706072606959040700301775,000$
6Tye Kartye (A)0X99.00836580717350836154636473555959040700251925,000$
7Matthew Savoie (R)0XXX100.005657696163706666566663685855530406902231,886,666$
8David Gustafsson0X100.00736693687447685878626077545858040680263835,000$
9Tyson Jost0X100.007365806868536860726262665569600406802812,000,000$
10Oliver Wahlstrom0XX100.006767836777546658576061675862590406702511,000,000$
11Vasily Ponomarev0XX100.00555566616566646370626065546156040670243830,000$
12Brad Lambert0XX100.005654697565696562566458615856550406702211,200,000$
13Conor Timmins0X100.006240827280667658406558815459580407202731,100,000$
14Nicolas Hague0X100.006671876593678857406260755465590407102732,294,150$
15Noah Juulsen0X100.00706784667565715240585584545958040700292775,000$
16Tobias Bjornfot0X100.005754756473646358416056685560570406702511,052,520$
17Jonathan Aspirot0X100.00555465596868666040625664546257040660262775,000$
18Declan Carlile0X100.00565567587367655841585766556157040660253775,000$
Rayé
1Zack Macewen0XX100.00647078778553625756606064556660040680292775,000$
2Brendan Gaunce0XX100.00585374638265626061606063556962040670322763,000$
3Axel Jonsson-Fjallby0X100.00545768616568666055595965546458040660281750,000$
4Givani Smith0XX100.00677876687963615553585669556259040660282800,000$
5Elias Salomonsson (R)0X100.00555468596765646040615663545452040650213895,000$
6Samuel Knazko0X100.00545569576766645840585663545754040640232902,500$
7Lukas Cormier0X100.00555469566358575640575459545754040620241793,333$
MOYENNE D’ÉQUIPE99.7665607766746170595462606955615804068
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
1Brandon Bussi0100.0068727269707269726469636959040720273775,000$
2Arturs Silovs0100.0066646575706568656565736156040690253850,000$
Rayé
MOYENNE D’ÉQUIPE100.006768697270696969656768655804071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson8077758785781CAN573250,000$


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
1Conor TimminsPenguins (PIT)D83690401516193515.79%619724.632241422022130000%000000.9100000110
2Nicolas HaguePenguins (PIT)D827958018821779.52%2220525.75134922000025000%000000.8700000101
3Kevin LabancPenguins (PIT)LW/RW82680606121681812.50%115519.48123422011080037.50%800001.0300000000
4Adam EdstromPenguins (PIT)C/LW/RW8437220692541516.00%213717.23000010000202042.86%1400001.0200000020
5Jesperi KotkaniemiPenguins (PIT)C/LW83364201020317169.68%117521.93000221011290061.90%8400000.6800000200
6Tyson JostPenguins (PIT)C8246300119177811.76%010513.1300000000000171.79%11700001.1400000001
7Tobias BjornfotPenguins (PIT)D8145310016665316.67%915919.94101217000013000%000000.6300000010
8Declan CarlilePenguins (PIT)D805531001446010%315719.7400011000129000%000000.6300000000
9Tye KartyePenguins (PIT)C841506017222711114.81%115319.181014221013130054.37%20600000.6500000100
10Dakota JoshuaPenguins (PIT)C/LW82241403021293176.90%115719.69011819000081061.50%20000000.5100000010
11Yakov TreninPenguins (PIT)C/LW80440201613277120%114217.78022323000000090.91%1100000.5600000000
12Noah JuulsenPenguins (PIT)D8123-310014612038.33%816420.5000071900003000%000000.3700000001
13Vasily PonomarevPenguins (PIT)C/LW6123200171021010.00%06010.05000000000310100.00%400001.0000000000
14Brad LambertPenguins (PIT)C/RW80223405969150%013817.36000118000000087.50%800000.2900000000
15Matthew SavoiePenguins (PIT)C/LW/RW4202-12029961022.22%06917.4100038000001075.00%400000.5700000000
16David GustafssonPenguins (PIT)C810100010511679.09%19011.35000110001210067.05%8800000.2200000000
17Brendan GauncePenguins (PIT)C/LW1000000001020%01212.20000000000400100.00%10000000000000
18Jonathan AspirotPenguins (PIT)D800031001242120%918322.9900000000030000%00000000000000
19Oliver WahlstromPenguins (PIT)LW/RW7000-220249250%0699.90000215000000066.67%30000000000000
20Zack MacewenPenguins (PIT)C/RW60000175646230%16811.49000000000210050.00%60000000100000
Statistiques d’équipe totales ou en moyenne14428517923995211188290801709.66%66260518.10610166122123572645162.20%75400000.6100100553
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
1Arturs SilovsPenguins (PIT)75200.8972.6545340201950000071000
2Brandon BussiPenguins (PIT)20100.9022.8684004410100017000
Statistiques d’équipe totales ou en moyenne95300.8982.685374024236010088000


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 EdstromPenguins (PIT)C/LW/RW252000-10-12SWENo239 Lbs6 ft7NoNoTrade2026-01-12NoNo12025-10-23FalseFalsePro & Farm847,000$0$0$No---------------------------Lien
Arturs SilovsPenguins (PIT)G252001-03-22LATNo202 Lbs6 ft4NoNoN/ANoNo32025-09-05FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Axel Jonsson-FjallbyPenguins (PIT)LW281998-02-10SWENo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Brad LambertPenguins (PIT)C/RW222003-12-19FINNo171 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Brandon BussiPenguins (PIT)G271998-06-25USANo218 Lbs6 ft2NoNoAssign ManuallyNoNo32025-10-21FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Brendan GauncePenguins (PIT)C/LW321994-03-25CANNo217 Lbs6 ft3NoNoAssign ManuallyYesNo22024-11-24FalseFalsePro & Farm763,000$0$0$No763,000$--------763,000$--------No--------Lien / Lien NHL
Conor TimminsPenguins (PIT)D271998-09-18CANNo213 Lbs6 ft3NoNoTrade2026-03-14NoNo32025-10-21FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien / Lien NHL
Dakota JoshuaPenguins (PIT)C/LW291996-05-15USANo204 Lbs6 ft3NoNoTrade2024-03-16NoNo22025-09-05FalseFalsePro & Farm3,250,000$0$0$No3,250,000$--------3,250,000$--------No--------Lien / Lien NHL
David GustafssonPenguins (PIT)C262000-04-11SWENo195 Lbs6 ft2NoNoTrade2024-03-11NoNo32025-09-05FalseFalsePro & Farm835,000$0$0$No835,000$835,000$-------835,000$835,000$-------NoNo-------Lien / Lien NHL
Declan CarlilePenguins (PIT)D252000-05-18USANo191 Lbs6 ft3NoNoTrade2026-03-14NoNo32025-09-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Elias SalomonssonPenguins (PIT)D212004-08-31SWEYes185 Lbs6 ft2NoNoTrade2026-03-14NoNo32025-09-05FalseFalsePro & Farm895,000$0$0$No895,000$895,000$-------895,000$895,000$-------NoNo-------Lien
Givani SmithPenguins (PIT)LW/RW281998-02-27CANNo213 Lbs6 ft2NoNoAssign ManuallyNoNo22024-11-25FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Jesperi KotkaniemiPenguins (PIT)C/LW252000-07-06FINNo202 Lbs6 ft3NoNoWaiverNoNo12025-09-05FalseFalsePro & Farm4,820,000$0$0$No---------------------------Lien / Lien NHL
Jonathan AspirotPenguins (PIT)D261999-05-16CANNo205 Lbs6 ft0NoNoAssign ManuallyNoNo22025-03-06FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Kevin LabancPenguins (PIT)LW/RW301995-12-12USANo184 Lbs5 ft10NoNoTrade2026-03-14YesNo12025-09-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Lukas CormierPenguins (PIT)D242002-03-27CANNo190 Lbs5 ft10NoNoTrade2024-03-12NoNo1FalseFalsePro & Farm793,333$0$0$No---------------------------Lien
Matthew SavoiePenguins (PIT)C/LW/RW222004-01-01CANYes178 Lbs5 ft8NoNoProspectNoNo32025-08-29FalseFalsePro & Farm1,886,666$0$0$No1,886,666$1,886,666$-------1,886,666$1,886,666$-------NoNo-------Lien
Nicolas HaguePenguins (PIT)D271998-12-05CANNo244 Lbs6 ft5NoNoWaiver2024-12-20NoNo32025-09-05FalseFalsePro & Farm2,294,150$0$0$No2,294,150$2,294,150$-------2,294,150$2,294,150$-------NoNo-------Lien / Lien NHL
Noah JuulsenPenguins (PIT)D291997-04-02CANNo200 Lbs6 ft2NoNoAssign ManuallyNoNo22025-10-26FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Oliver WahlstromPenguins (PIT)LW/RW252000-06-13USANo204 Lbs6 ft2NoNoTrade2024-07-07NoNo12025-09-05FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Samuel KnazkoPenguins (PIT)D232002-08-07SVKNo190 Lbs6 ft1NoNoTrade2025-03-21NoNo22024-08-23FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------Lien
Tobias BjornfotPenguins (PIT)D252001-04-06SWENo200 Lbs6 ft0NoNoTrade2024-07-07NoNo1FalseFalsePro & Farm1,052,520$0$0$No---------------------------Lien / Lien NHL
Tye KartyePenguins (PIT)C252001-04-30CANNo202 Lbs5 ft10NoNoWaiver2024-12-20NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Tyson JostPenguins (PIT)C281998-03-14CANNo187 Lbs5 ft10NoNoN/AYesNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
Vasily PonomarevPenguins (PIT)C/LW242002-03-13RUSNo181 Lbs5 ft10NoNoTrade2024-07-01NoNo32025-09-05FalseFalsePro & Farm830,000$0$0$No830,000$830,000$-------830,000$830,000$-------NoNo-------Lien
Yakov TreninPenguins (PIT)C/LW291997-01-13RUSNo200 Lbs6 ft2NoNoAssign Manually2024-12-22NoNo22026-01-09FalseFalsePro & Farm3,500,000$0$0$No3,500,000$--------3,500,000$--------No--------Lien / Lien NHL
Zack MacewenPenguins (PIT)C/RW291996-07-08CANNo226 Lbs6 ft3NoNoN/ANoNo22025-09-05FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.15201 Lbs6 ft11.961,331,266$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesperi KotkaniemiDakota JoshuaMatthew Savoie40122
2Yakov TreninTye KartyeKevin Labanc30122
3Adam EdstromTyson JostBrad Lambert20122
4Vasily PonomarevDavid GustafssonOliver Wahlstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan AspirotNicolas Hague40122
2Noah JuulsenConor Timmins30122
3Tobias BjornfotDeclan Carlile20122
4Conor TimminsNicolas Hague10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew SavoieDakota JoshuaBrad Lambert60122
2Yakov TreninTye KartyeKevin Labanc40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueConor Timmins60122
2Noah JuulsenOliver Wahlstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jesperi KotkaniemiVasily Ponomarev60122
2David GustafssonAdam Edstrom40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan AspirotDeclan Carlile60122
2Conor TimminsNicolas Hague40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Edstrom60122Jonathan AspirotNicolas Hague60122
2David Gustafsson40122Tobias BjornfotConor Timmins40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesperi KotkaniemiKevin Labanc60122
2Yakov TreninJesperi Kotkaniemi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsNicolas Hague60122
2Jonathan AspirotNoah Juulsen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dakota JoshuaJesperi KotkaniemiMatthew SavoieConor TimminsNicolas Hague
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kevin LabancDavid GustafssonAdam EdstromNicolas HagueJonathan Aspirot
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Edstrom, Matthew Savoie, Kevin LabancBrad Lambert, Kevin LabancTye Kartye
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Conor Timmins, Jonathan Aspirot, Nicolas HagueTobias BjornfotTobias Bjornfot, Declan Carlile
Tirs de pénalité
Dakota Joshua, Yakov Trenin, Jesperi Kotkaniemi, Kevin Labanc, Matthew Savoie
Gardien
#1 : Arturs Silovs, #2 : Brandon Bussi
Lignes d’attaque personnalisées en prolongation
Brad Lambert, Jesperi Kotkaniemi, Yakov Trenin, Tye Kartye, Matthew Savoie, Adam Edstrom, Tyson Jost, Kevin Labanc, Dakota Joshua, Oliver Wahlstrom
Lignes de défense personnalisées en prolongation
Jonathan Aspirot, Nicolas Hague, Tobias Bjornfot, Conor Timmins, Noah Juulsen


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
1Manitoba Moose21100000770000000000002110000077020.500713200077122589078923067183050500.00%12283.33%120832963.22%16527260.66%9615362.75%2171461996712061
2Wolves642000002117433000000136731200000811-380.667213859007712223290789230169487316121628.57%27581.48%120832963.22%16527260.66%9615362.75%2171461996712061
Total8530000028244330000001367523000001518-3100.6252851790077122290907892302366610321126623.08%39782.05%220832963.22%16527260.66%9615362.75%2171461996712061
_Since Last GM Reset8530000028244330000001367523000001518-3100.6252851790077122290907892302366610321126623.08%39782.05%220832963.22%16527260.66%9615362.75%2171461996712061
_Vs Conference8530000028244330000001367523000001518-3100.6252851790077122290907892302366610321126623.08%39782.05%220832963.22%16527260.66%9615362.75%2171461996712061
_Vs Division8530000028244330000001367523000001518-3100.6252851790077122290907892302366610321126623.08%39782.05%220832963.22%16527260.66%9615362.75%2171461996712061

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
810L12851792902366610321100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
85300002824
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3300000136
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001518
Derniers 10 matchs
WLOTWOTL SOWSOL
332000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
26623.08%39782.05%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
9078923077122
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
20832963.22%16527260.66%9615362.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2171461996712061


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 - 2026-04-273Penguins3Wolves4LSommaire du match
3 - 2026-04-2911Penguins3Wolves2WXSommaire du match
5 - 2026-05-0119Wolves2Penguins3WXSommaire du match
7 - 2026-05-0327Wolves2Penguins6WSommaire du match
9 - 2026-05-0535Penguins2Wolves5LSommaire du match
11 - 2026-05-0743Wolves2Penguins4WSommaire du match
15 - 2026-05-1158Penguins6Manitoba Moose3WSommaire du match
17 - 2026-05-1362Penguins1Manitoba Moose4LSommaire du match
19 - 2026-05-1566Manitoba Moose-Penguins-
21 - 2026-05-1770Manitoba Moose-Penguins-
23 - 2026-05-1974Penguins-Manitoba Moose-
25 - 2026-05-2178Manitoba Moose-Penguins-
27 - 2026-05-2382Penguins-Manitoba Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 35,944,168$ 35,944,168$ 250,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 11 0$ 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