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Penguins
GP: 3 | W: 1 | L: 2 | OTL: 0 | P: 2
GF: 6 | GA: 9 | PP%: 23.08% | PK%: 83.33%
DG: NFHL | Morale : 97 | Moyenne d’équipe : N/A
Prochains matchs #54 vs Bears

Centre de jeu
Penguins
1-2-0, 2pts
1
FINAL
2 Norsemen
3-0-1, 7pts
Team Stats
L2SéquenceW1
0-1-0Fiche domicile2-0-0
1-1-0Fiche domicile1-0-1
1-2-0Derniers 10 matchs3-0-1
2.00Buts par match 3.50
3.00Buts contre par match 2.00
23.08%Pourcentage en avantage numérique40.00%
83.33%Pourcentage en désavantage numérique100.00%
Titans
1-3-0, 2pts
5
FINAL
1 Penguins
1-2-0, 2pts
Team Stats
L1SéquenceL2
0-1-0Fiche domicile0-1-0
1-2-0Fiche domicile1-1-0
1-3-0Derniers 10 matchs1-2-0
2.50Buts par match 2.00
3.75Buts contre par match 3.00
8.70%Pourcentage en avantage numérique23.08%
50.00%Pourcentage en désavantage numérique83.33%
Bears
2-1-0, 4pts
Jour 8
Penguins
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceL2
2-0-0Fiche domicile0-1-0
0-1-0Fiche visiteur1-1-0
2-1-010 derniers matchs1-2-0
4.67Buts par match 2.00
3.00Buts contre par match 2.00
80.00%Pourcentage en avantage numérique23.08%
83.33%Pourcentage en désavantage numérique83.33%
Penguins
1-2-0, 2pts
Jour 10
Admirals
0-3-0, 0pts
Statistiques d’équipe
L2SéquenceL3
0-1-0Fiche domicile0-2-0
1-1-0Fiche visiteur0-1-0
1-2-010 derniers matchs0-3-0
2.00Buts par match 2.33
3.00Buts contre par match 2.33
23.08%Pourcentage en avantage numérique14.29%
83.33%Pourcentage en désavantage numérique61.54%
Penguins
1-2-0, 2pts
Jour 11
Rams
3-0-0, 6pts
Statistiques d’équipe
L2SéquenceW3
0-1-0Fiche domicile2-0-0
1-1-0Fiche visiteur1-0-0
1-2-010 derniers matchs3-0-0
2.00Buts par match 5.33
3.00Buts contre par match 5.33
23.08%Pourcentage en avantage numérique50.00%
83.33%Pourcentage en désavantage numérique90.00%
Meneurs d'équipe
Buts
Brian Halonen
2
Passes
Fabian Lysell
2
Points
Fabian Lysell
3
Plus/Moins
Brian Halonen
0
Victoires
Jakub Dobes
1
Pourcentage d’arrêts
Jakub Dobes
0.902

Statistiques d’équipe
Buts pour
6
2.00 GFG
Tirs pour
100
33.33 Avg
Pourcentage en avantage numérique
23.1%
3 GF
Début de zone offensive
34.4%
Buts contre
9
3.00 GAA
Tirs contre
92
30.67 Avg
Pourcentage en désavantage numérique
83.3%%
3 GA
Début de la zone défensive
42.5%
Informations de l'équipe

Directeur généralNFHL
EntraîneurTy Hennes
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance6,736
Billets de saison800


Informations de la formation

Équipe Pro32
Équipe Mineure21
Limite contact 53 / 65
Espoirs23


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
1Bryce KindoppXX100.0060606060607070606060606060606609400251716,625$
2Adam BeckmanXX100.0060606060607070606060606060536109400231909,563$
3Filip HallanderXXX100.00606060606070706060606060605462097002412,125,000$
4Fabian LysellXX100.00605088706980906761686666654358097002121,575,000$
5Jack BeckXX100.0060606060607070606060606060415609700211650,000$
6Viljami MarjalaXXX100.0060606060607070606060606060415609700211700,000$
7Gavin HayesXX100.0060606060607070606060606060415609700201975,000$
8Ivan IvanX100.00635093737277937164656966654156097002221,100,000$
9Brian HalonenXX100.00625088707880906361626469656260097002511,350,000$
10Samuel HonzekXXX100.00625092677279886361646370654055097012021,500,000$
11Dans Locmelis (R)XX100.0060606060607070606060606060445509700203825,000$
12Matvei Gridin (R)XX100.00606060606070706060606060604255096001831,500,000$
13Ashton SautnerX100.0060606060607070606060606060676909700301760,000$
14Brady LyleX100.0060606060607070606060606060596309400251716,625$
15Donovan SebrangoX100.00605080698377866225636266655361097002221,074,938$
16Atro LeppanenX100.0060606060607070606060606060405509700262900,000$
17Ronald AttardX100.00606060606070706060606060604257097002511,023,750$
18David SpacekX100.0060606060607070606060606060415609400211750,000$
Rayé
1Jaret Anderson-DolanX94.08735090657576886462646373655560087002511,000,000$
2Cole OHara (R)X100.0060606060607070606060606060465509600222750,000$
3Jesse Kiiskinen (R)X100.0060606060607070606060606060445509600193975,000$
4Gabe Smith (R)X100.0060606060607070606060606060465509600183825,000$
5Christoffer SedoffX100.0060606060607070606060606060485709600221708,750$
6Luke ProkopX100.00606060606070706060606060605559096002211,023,750$
7Tomas HamaraX100.0060606060607070606060606060415609600201975,000$
8Matt BasgallX100.0060606060607070606060606060405509600221650,000$
9Matthew AndonovskiX100.0060606060607070606060606060405509601192750,000$
MOYENNE D’ÉQUIPE99.786158666263727461596161626147580960
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 Dobes100.0073767187707276758075714156097002321,000,000$
2Aleksei Kolosov100.006376717684646764646272564109700221975,000$
Rayé
1Pheonix Copley100.006070706060606060606060717709800322770,000$
2Calvin Petersen100.006070706060606060606060586609800302850,000$
3Ty Young100.006070706060606060606060415609800201700,000$
MOYENNE D’ÉQUIPE100.00637270696763656465636553590980
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ty Hennes6972718461661USA452600,000$


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
1Fabian LysellPenguins (PIT)LW/RW3123-1005514367.14%26521.76123480003120040.91%2211000.9200000010
2Brian HalonenPenguins (PIT)LW/RW321302018112418.18%25719.28000080000121044.44%1810001.0400000001
3Samuel HonzekPenguins (PIT)C/LW/RW312301754250220.00%14414.6712318000000050.00%200001.3600001100
4Donovan SebrangoPenguins (PIT)D3202-20064115418.18%48026.8110119000014000%034000.5000000000
5Jaret Anderson-DolanPenguins (PIT)C3022000344050%45217.5702217000090055.56%2701000.7600000000
6Jack BeckPenguins (PIT)LW/RW3022060422020%04715.6900000000000050.00%202000.8500000000
7Ashton SautnerPenguins (PIT)D3011-220459150%157826.1200019000115000%000000.2600000000
8Ronald AttardPenguins (PIT)D3011-140541030%45719.240000800009000%001000.3500000000
9Ivan IvanPenguins (PIT)C3011-1005716290%06923.11000080001120043.64%5551000.2900000000
10Bryce KindoppPenguins (PIT)LW/RW3000-2135245250%04414.7300000000010071.43%70000000010000
11Adam BeckmanPenguins (PIT)LW/RW3000-11410335160%03913.1400000000000025.00%40000000110000
12Brady LylePenguins (PIT)D3000-155235210%16421.4800038000011000%01000000010000
13Filip HallanderPenguins (PIT)C/LW/RW3000-200834210%05518.3800009000030060.87%230200000000000
14Atro LeppanenPenguins (PIT)D3000-120113100%14414.960000000001000%00300000000000
15Viljami MarjalaPenguins (PIT)C/LW/RW3000000100100%062.270000000000000%00000000000000
16Gavin HayesPenguins (PIT)LW/RW3000000415110%1258.410000000000000%00100000000000
17David SpacekPenguins (PIT)D30000115320010%13612.020000000000000%00400000010000
18Dans LocmelisPenguins (PIT)C/LW3000000000000%000.080000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne5461218-147630615810023556.00%3686916.10369119000051061048.75%1601120000.4100141111
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)31200.9023.021790099254000030001
Statistiques d’équipe totales ou en moyenne31200.9023.02179009925400030001


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 Salaire restantPlafond 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 BeckmanPenguins (PIT)LW/RW232001-05-10CANNo182 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm909,563$875,696$90,956$87,569$No---------------------------
Aleksei KolosovPenguins (PIT)G222002-01-04BLRNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Ashton SautnerPenguins (PIT)D301994-05-27CANNo195 Lbs6 ft1NoNoAssign ManuallyNoNo12025-11-06FalseFalsePro & Farm760,000$731,702$76,000$73,170$No---------------------------
Atro LeppanenPenguins (PIT)D261998-12-14FINNo183 Lbs6 ft0NoNoAssign ManuallyNoNo22025-11-06FalseFalsePro & Farm900,000$866,489$90,000$86,649$No900,000$--------900,000$--------No--------
Brady LylePenguins (PIT)D251999-06-06CANNo203 Lbs6 ft1NoNoTrade2025-11-01NoNo12025-09-08FalseFalsePro & Farm716,625$689,942$71,662$68,994$No---------------------------
Brian HalonenPenguins (PIT)LW/RW251999-01-11USANo207 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-08FalseFalsePro & Farm1,350,000$1,299,734$135,000$129,973$No---------------------------
Bryce KindoppPenguins (PIT)LW/RW251999-06-14CANNo185 Lbs6 ft1NoNoN/ANoNo12024-08-31FalseFalsePro & Farm716,625$689,942$71,662$68,994$No---------------------------
Calvin PetersenPenguins (PIT)G301994-10-19USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo22025-11-06FalseFalsePro & Farm850,000$818,351$85,000$81,835$No850,000$--------850,000$--------No--------
Christoffer SedoffPenguins (PIT)D222002-02-20FINNo196 Lbs6 ft1NoNoTrade2025-10-20NoNo12025-09-08FalseFalsePro & Farm708,750$682,360$70,875$68,236$No---------------------------
Cole OHaraPenguins (PIT)RW222002-06-20CANYes187 Lbs5 ft10NoNoProspectNoNo22025-08-30FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Dans LocmelisPenguins (PIT)C/LW202004-01-21LATYes179 Lbs5 ft11NoNoProspectNoNo32025-08-30FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$825,000$-------825,000$825,000$-------NoNo-------
David SpacekPenguins (PIT)D212003-02-18CZENo174 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Donovan SebrangoPenguins (PIT)D222002-01-12CANNo221 Lbs6 ft2NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,074,938$1,034,914$107,494$103,492$No1,074,938$--------1,074,938$--------No--------
Fabian LysellPenguins (PIT)LW/RW212003-01-19SWENo181 Lbs5 ft11NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,575,000$1,516,356$157,500$151,636$No1,575,000$--------1,575,000$--------No--------
Filip Hallander (contrat à 1 volet)Penguins (PIT)C/LW/RW242000-06-29SWENo190 Lbs6 ft1NoNoAssign ManuallyNoNo12025-11-08FalseFalsePro & Farm2,125,000$2,045,027$2,125,000$2,045,027$No---------------------------
Gabe SmithPenguins (PIT)C182006-08-03CANYes207 Lbs6 ft3NoNoDraftNoNo32025-08-30FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Gavin HayesPenguins (PIT)LW/RW202004-05-14USANo176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Ivan IvanPenguins (PIT)C222002-08-20CZENo190 Lbs6 ft0NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,100,000$1,059,043$110,000$105,904$No1,100,000$--------1,100,000$--------No--------
Jack BeckPenguins (PIT)LW/RW212003-04-12CANNo161 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Jakub DobesPenguins (PIT)G232001-05-27CZENo215 Lbs6 ft4NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,000,000$962,766$100,000$96,277$No1,000,000$--------1,000,000$--------No--------
Jaret Anderson-Dolan (sur la masse salariale)Penguins (PIT)C251999-09-12CANNo200 Lbs5 ft11NoNoAssign ManuallyNoNo12025-11-08FalseFalsePro & Farm1,000,000$962,766$100,000$96,277$No---------------------------
Jesse KiiskinenPenguins (PIT)RW192005-08-23FINYes190 Lbs5 ft11NoNoProspectNoNo32025-08-30FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Luke ProkopPenguins (PIT)D222002-05-06CANNo218 Lbs6 ft4NoNoTrade2025-10-20NoNo1FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No---------------------------
Matt BasgallPenguins (PIT)D222002-08-16USANo190 Lbs5 ft10NoNoFree AgentNoNo12025-07-04FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Matthew AndonovskiPenguins (PIT)D192005-03-14CANNo201 Lbs6 ft2NoNoProspectNoNo22024-08-30FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Matvei GridinPenguins (PIT)LW/RW182006-03-01RUSYes190 Lbs5 ft11NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Pheonix CopleyPenguins (PIT)G321992-01-18USANo200 Lbs6 ft4NoNoAssign ManuallyNoNo22025-11-06FalseFalsePro & Farm770,000$741,330$77,000$74,133$No770,000$--------770,000$--------No--------
Ronald AttardPenguins (PIT)D251999-03-20USANo208 Lbs6 ft3NoNoN/ANoNo12024-08-31FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No---------------------------
Samuel HonzekPenguins (PIT)C/LW/RW202004-11-12SVKNo186 Lbs6 ft4NoNoProspectNoNo22024-08-30FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
Tomas HamaraPenguins (PIT)D202004-03-09CZENo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Ty YoungPenguins (PIT)G202004-09-11CANNo183 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Viljami MarjalaPenguins (PIT)C/LW/RW212003-01-29FINNo176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3222.66192 Lbs6 ft11.56972,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dans LocmelisIvan IvanBrian Halonen28122
2Fabian LysellViljami MarjalaSamuel Honzek28122
3Bryce KindoppFilip HallanderAdam Beckman25122
4Jack BeckIvan IvanGavin Hayes19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Donovan SebrangoAshton Sautner28122
2Brady LyleDavid Spacek28122
3Atro LeppanenRonald Attard25122
4Donovan SebrangoAshton Sautner19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip HallanderIvan IvanBrian Halonen50122
2Fabian LysellBryce KindoppSamuel Honzek50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Donovan SebrangoAshton Sautner50122
2Brady LyleRonald Attard50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Fabian LysellIvan Ivan50122
2Brian HalonenAdam Beckman50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Donovan SebrangoAshton Sautner50122
2Brady LyleRonald Attard50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brian Halonen50122Donovan SebrangoAshton Sautner50122
2Ivan Ivan50122Brady LyleAtro Leppanen50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Fabian LysellIvan Ivan50122
2Brian HalonenSamuel Honzek50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Donovan SebrangoAshton Sautner50122
2Brady LyleRonald Attard50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian LysellIvan IvanBrian HalonenDonovan SebrangoAshton Sautner
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian LysellIvan IvanBrian HalonenDonovan SebrangoAshton Sautner
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bryce Kindopp, Adam Beckman, Filip HallanderBryce Kindopp, Adam BeckmanFilip Hallander
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Donovan Sebrango, Ronald Attard, Brady LyleAshton SautnerRonald Attard, Brady Lyle
Tirs de pénalité
Bryce Kindopp, Ivan Ivan, Brian Halonen, Filip Hallander, Fabian Lysell
Gardien
#1 : Jakub Dobes, #2 : Aleksei Kolosov


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
1Norsemen1010000012-1000000000001010000012-100.00012300411032174538030111124400.00%3233.33%0265547.27%316845.59%213756.76%542462316330
2Titans2110000057-21010000015-41100000042220.50051015004110681745380622565379333.33%15193.33%0265547.27%316845.59%213756.76%542462316330
Total3120000069-31010000015-42110000054120.3336121800411010017453809236766113323.08%18383.33%0265547.27%316845.59%213756.76%542462316330
_Since Last GM Reset3120000069-31010000015-42110000054120.3336121800411010017453809236766113323.08%18383.33%0265547.27%316845.59%213756.76%542462316330
_Vs Conference3120000069-31010000015-42110000054120.3336121800411010017453809236766113323.08%18383.33%0265547.27%316845.59%213756.76%542462316330

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
32L2612181009236766100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
312000069
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000015
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000054
Derniers 10 matchs
WLOTWOTL SOWSOL
120000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
13323.08%18383.33%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
17453804110
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
265547.27%316845.59%213756.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
542462316330


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
211Penguins4Titans2WSommaire du match
321Penguins1Norsemen2LSommaire du match
432Titans5Penguins1LSommaire du match
854Bears-Penguins-
1076Penguins-Admirals-
1180Penguins-Rams-
1291Titans-Penguins-
15112Penguins-Wolf Pack-
17125Penguins-Blossom Bytes-
18131Gulls-Penguins-
21157Bears-Penguins-
24178Titans-Penguins-
26184Penguins-Blossom Bytes-
28199Penguins-Gulls-
30216Bears-Penguins-
32225Penguins-Admirals-
34237Penguins-Senators-
35249Penguins-Norsemen-
36256Americans-Penguins-
40279Penguins-Moose-
41287Phantoms-Penguins-
46319Bulldogs-Penguins-
48334Penguins-Whalers-
50350Phantoms-Penguins-
52364Penguins-Americans-
54382Blood Miners-Penguins-
56401Penguins-Bears-
58412Penguins-Moose-
59417Admirals-Penguins-
62445Blossom Bytes-Penguins-
64456Penguins-Griffins-
66471Penguins-Norsemen-
68479Whalers-Penguins-
70496Penguins-Redhawks-
73512Americans-Penguins-
77540Crunch-Penguins-
79556Penguins-Wolves-
81571Bills-Penguins-
83580Penguins-Roadrunners-
85597Penguins-Wolf Pack-
86606Eagles-Penguins-
90629Penguins-Reign-
91639Octopus-Penguins-
93662Grisards-Penguins-
96682Penguins-Whalers-
98697Penguins-Grisards-
99701Rams-Penguins-
103728Rams-Penguins-
105746Penguins-Admirals-
107757Penguins-Titans-
108766Blossom Bytes-Penguins-
111789Penguins-Wolf Pack-
113798Silver Knights-Penguins-
115818Penguins-Phantoms-
117829Bears-Penguins-
121856Titans-Penguins-
124885Saints-Penguins-
126896Penguins-Bears-
128916Penguins-Grisards-
129924Moose-Penguins-
132943Penguins-Blossom Bytes-
134955Admirals-Penguins-
138981Senators-Penguins-
140995Penguins-Bills-
1421012White Wolves-Penguins-
1431025Penguins-Gulls-
1461044Titans-Penguins-
1481064Penguins-Rams-
1501072Penguins-Rocket-
1511084Gulls-Penguins-
1541102Penguins-Senators-
1551114Gulls-Penguins-
1571126Penguins-Rams-
1601147Penguins-Mountaineers-
1611151Wolves-Penguins-
1641179Gorillas-Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681206Penguins-Rocket-
1691213Wolf Pack-Penguins-
1741242Norsemen-Penguins-
1781265Wolf Pack-Penguins-
1801276Penguins-Titans-
1841297Wolves-Penguins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3515
Assistance2,2144,522
Assistance PCT88.56%82.22%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 6736 - 84.20% 174,384$174,384$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
128,114$ 2,797,900$ 2,797,900$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
18,074$ 128,114$ 30 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,975,360$ 181 18,074$ 3,271,394$




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