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Penguins
GP: 74 | W: 29 | L: 33 | OTL: 12 | P: 70
GF: 148 | GA: 191 | PP%: 28.57% | PK%: 67.15%
DG: Scotty Mitchell | Morale : 35 | Moyenne d’équipe : 56
Prochains matchs #1163 vs Bruins

Centre de jeu
Penguins
29-33-12, 70pts
2
3 Moose
30-32-12, 72pts
Team Stats
L4SéquenceL1
17-12-8Fiche domicile14-16-7
12-21-4Fiche domicile16-16-5
3-5-2Derniers 10 matchs3-6-1
2.00Buts par match 1.70
2.58Buts contre par match 2.07
28.57%Pourcentage en avantage numérique23.19%
67.15%Pourcentage en désavantage numérique76.00%
Penguins
29-33-12, 70pts
0
2 Marlies
32-30-12, 76pts
Team Stats
L4SéquenceW2
17-12-8Fiche domicile16-16-6
12-21-4Fiche domicile16-14-6
3-5-2Derniers 10 matchs6-4-0
2.00Buts par match 2.03
2.58Buts contre par match 2.55
28.57%Pourcentage en avantage numérique24.07%
67.15%Pourcentage en désavantage numérique69.33%
Bruins
43-23-10, 96pts
Jour 94
Penguins
29-33-12, 70pts
Statistiques d’équipe
W2SéquenceL4
21-10-6Fiche domicile17-12-8
22-13-4Fiche visiteur12-21-4
6-3-110 derniers matchs3-5-2
2.24Buts par match 2.00
2.05Buts contre par match 2.00
29.76%Pourcentage en avantage numérique28.57%
65.91%Pourcentage en désavantage numérique67.15%
Thunderbirds
60-9-6, 126pts
Jour 96
Penguins
29-33-12, 70pts
Statistiques d’équipe
W1SéquenceL4
30-4-4Fiche domicile17-12-8
30-5-2Fiche visiteur12-21-4
7-1-210 derniers matchs3-5-2
4.85Buts par match 2.00
2.73Buts contre par match 2.00
31.65%Pourcentage en avantage numérique28.57%
80.00%Pourcentage en désavantage numérique67.15%
Penguins
29-33-12, 70pts
Jour 97
Moose
30-32-12, 72pts
Statistiques d’équipe
L4SéquenceL1
17-12-8Fiche domicile14-16-7
12-21-4Fiche visiteur16-16-5
3-5-210 derniers matchs3-6-1
2.00Buts par match 1.70
2.58Buts contre par match 1.70
28.57%Pourcentage en avantage numérique23.19%
67.15%Pourcentage en désavantage numérique76.00%
Meneurs d'équipe
Buts
Jagger Firkus
24
Passes
Jagger Firkus
30
Points
Jagger Firkus
54
Plus/Moins
Eamon Powell
5
Victoires
Jacob Fowler
29
Pourcentage d’arrêts
Ryan Fanti
0.878

Statistiques d’équipe
Buts pour
148
2.00 GFG
Tirs pour
1003
13.55 Avg
Pourcentage en avantage numérique
28.6%
46 GF
Début de zone offensive
32.2%
Buts contre
191
2.58 GAA
Tirs contre
1413
19.09 Avg
Pourcentage en désavantage numérique
67.2%%
45 GA
Début de la zone défensive
42.2%
Informations de l'équipe

Directeur généralScotty Mitchell
EntraîneurAlex Burrows
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,150
Billets de saison1,500


Informations de la formation

Équipe Pro26
Équipe Mineure34
Limite contact 60 / 100
Espoirs167


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
1Jagger Firkus (R)X100.0070609168627984615059615755474759666102231,286,000$
2Akil Thomas (R)XX100.0082689172725550614459576525484859255902621,132,000$
3Matt StienburgX99.0073717880714541617660596055474759435902512,999,999$
4Jackson CatesXXX100.0075708864707379536547555951474756755802811,040,000$
5Matvey Petrov (R)X99.0080759366776467545048586354474758705802331,285,000$
6Oscar Fisker Molgaard (R)X100.0072619982635150577050615955474658605802131,304,000$
7Joel TeasdaleX100.0077767765767177525049535948474654495702711,078,000$
8Viktor NeuchevX100.0071639567654846585058566054464658585602231,289,000$
9Roman AhcanX100.006861886661555556504663576047465739550272986,000$
10Filip Mesar (R)X100.0070658766675960535056455745474754525502231,277,000$
11Ben BerardX100.0069707380703632545036685967464659545502712,999,999$
12Connor Kurth (R)X100.0076778382793531515055426042474652555502231,287,000$
13Gavin Brindley (R)X100.0068599266616467506548495648474753565402131,280,000$
14Noah Warren (R)X100.0083838263856976462536406337474749686002131,284,000$
15Luke Krys (R)X100.0074708464707076512544425839474750555802512,999,999$
16Eamon Powell (R)X100.0074649982663631612549576355474658375802331,366,000$
17Griffin Luce (R)X100.0085809980803230402527386137474747215502831,406,000$
18Akito HiroseX100.0067647663645354502543425540474748635402712,999,999$
19Colin Felix (R)X100.0070746062744545452535405638444448205202712,999,999$
Rayé
1Cooper WalkerX100.0075689063684544536647546251444457205402312,999,999$
2Trenton Bliss (R)X100.0075718580713632525038616258444458205402831,420,000$
3Aidan Thompson (R)X100.0076669980664749445538446042444452205202400$
4Tag BertuzziXXX100.0076718980713533445538446042444451205102512,999,999$
5Alex Kannok LeipertX100.006873626273505244253240543946464543520252984,000$
MOYENNE D’ÉQUIPE99.92746986717052535247465159474646544556
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
1Jacob Fowler (R)100.004851648047954554938145474759786402131,715,000$
2Ryan Fanti (R)100.004440508045894650908145444460756102631,076,000$
Rayé
MOYENNE D’ÉQUIPE100.0046465780469246529281454646607763
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Burrows40404040404040TUR8111,000,000$


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
1Jagger FirkusPenguins (PIT)RW74243054-30261099134153509415.69%29169622.9381119381230003365149.66%4353629000.64312101512
2Matt StienburgPenguins (PIT)C73182139-23582084102103426317.48%24128417.608132128990001321055.91%1863411010.6102112333
3Oscar Fisker MolgaardPenguins (PIT)C68231538-8423076119117337619.66%20129419.038816221021012322154.09%6233230100.5917123435
4Jackson CatesPenguins (PIT)C/LW/RW74142337-2559358114393336915.05%31162721.996511121050003745051.65%5443123000.4515403315
5Akil ThomasPenguins (PIT)C/RW63141630-3155757577295918.18%24116818.55461011611015384241.95%3482114000.5100010413
6Joel TeasdalePenguins (PIT)LW69121830-21523010510666134618.18%16146421.22651112970113771044.00%3002125000.4128204133
7Matvey PetrovPenguins (PIT)LW74111728-1054308211354194620.37%24135718.342685680004574043.71%1511619000.4137402334
8Luke KrysPenguins (PIT)D7432124-164610761365536175.45%55183024.74191061350223101010%01728000.2600011023
9Eamon PowellPenguins (PIT)D691202152030846225151.61%29109815.9201101400003000%01929000.3800000010
10Noah WarrenPenguins (PIT)D7411718-2199451101475126141.96%75189025.55191051360110106000%01831000.1900504101
11Akito HirosePenguins (PIT)D7421012-204620711094518214.44%41152020.550112910000860140.00%51036000.1600301010
12Viktor NeuchevPenguins (PIT)LW72459-12039552391417.39%573310.191013101012121050.00%20116010.2500000211
13Roman AhcanPenguins (PIT)LW69639-46030393091220.00%35257.611014161013220029.63%2766000.3400000100
14Gavin BrindleyPenguins (PIT)C74516-2405558203725.00%682911.210001120000111148.48%165710000.1400000020
15Filip MesarPenguins (PIT)RW74325-136071592671211.54%792112.45011310000000036.36%111213000.1100000011
16Alex Kannok LeipertPenguins (PIT)D65044-1436052675110%797114.9401114000014000%0315000.0800000000
17Connor KurthPenguins (PIT)RW74134120321365416.67%03384.570000000000000%124000.2400000001
18Cooper WalkerPenguins (PIT)C5112300108101100.00%16312.7400002000000054.17%2400000.6300000010
19Griffin LucePenguins (PIT)D74022-181755494148130%42135218.27000088000373000%01738000.0301001001
20Colin FelixPenguins (PIT)D14000-1808101100%118213.050000200005000%02000000000000
21Ben BerardPenguins (PIT)LW74000020321100%0660.900000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne1381143229372-22158224012431673100336858414.26%4402221816.09467612215311864483278624749.24%2841315367120.33104221522272433
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
1Jacob FowlerPenguins (PIT)742933120.8712.4242452121711328593330.75040740452
2Ryan FantiPenguins (PIT)90000.8782.25267001082400000074000
Statistiques d’équipe totales ou en moyenne832933120.8722.414513212181141063333407474452


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
Aidan ThompsonPenguins (PIT)C242002-02-18USAYes180 Lbs5 ft11NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Akil ThomasPenguins (PIT)C/RW262000-01-02CANYes195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,132,000$192,036$0$0$No1,132,000$--------1,132,000$--------No--------Lien
Akito HirosePenguins (PIT)D271999-04-09CANNo170 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$508,928$0$0$No---------------------------Lien
Alex Kannok LeipertPenguins (PIT)D252000-07-20THINo200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm984,000$166,929$0$0$No984,000$--------984,000$--------No--------Lien
Ben BerardPenguins (PIT)LW271999-02-13BCNo192 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$508,928$0$0$No---------------------------Lien
Colin FelixPenguins (PIT)D271999-01-07USAYes203 Lbs6 ft1NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$508,928$0$0$No---------------------------Lien
Connor KurthPenguins (PIT)RW222003-07-30USAYes215 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,287,000$218,330$0$0$No1,287,000$1,287,000$-------1,287,000$1,287,000$-------NoNo-------Lien
Cooper WalkerPenguins (PIT)C232002-07-11ONTNo185 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$508,928$0$0$No---------------------------Lien
Eamon PowellPenguins (PIT)D232002-05-10USAYes175 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,366,000$231,732$0$0$No1,366,000$1,366,000$-------1,366,000$1,366,000$-------NoNo-------Lien
Filip MesarPenguins (PIT)RW222004-01-03SVKYes184 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$216,634$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Gavin BrindleyPenguins (PIT)C212004-10-05USAYes168 Lbs5 ft9NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,280,000$217,143$0$0$No1,280,000$1,280,000$-------1,280,000$1,280,000$-------NoNo-------Lien
Griffin LucePenguins (PIT)D281998-03-10USAYes216 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,406,000$238,518$0$0$No1,406,000$1,406,000$-------1,406,000$1,406,000$-------NoNo-------Lien
Jackson CatesPenguins (PIT)C/LW/RW281997-09-26USANo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,040,000$176,429$0$0$No---------------------------Lien
Jacob FowlerPenguins (PIT)G212004-11-24USAYes211 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,715,000$290,938$0$0$No1,715,000$1,715,000$-------1,715,000$1,715,000$-------NoNo-------Lien
Jagger FirkusPenguins (PIT)RW222004-04-29CANYes163 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$218,161$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Joel TeasdalePenguins (PIT)LW271999-03-11CANNo210 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,078,000$182,875$0$0$No---------------------------Lien
Luke KrysPenguins (PIT)D252000-09-27USAYes185 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$508,928$0$0$No---------------------------Lien
Matt StienburgPenguins (PIT)C252000-10-07CANNo182 Lbs6 ft1NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$508,928$0$0$No---------------------------Lien
Matvey PetrovPenguins (PIT)LW232003-03-12RUSYes200 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,285,000$217,991$0$0$No1,285,000$1,285,000$-------1,285,000$1,285,000$-------NoNo-------Lien
Noah WarrenPenguins (PIT)D212004-07-15CANYes224 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,284,000$217,821$0$0$No1,284,000$1,284,000$-------1,284,000$1,284,000$-------NoNo-------Lien
Oscar Fisker MolgaardPenguins (PIT)C212005-02-18DENYes163 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,304,000$221,214$0$0$No1,304,000$1,304,000$-------1,304,000$1,304,000$-------NoNo-------Lien
Roman AhcanPenguins (PIT)LW271999-03-24USANo170 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm986,000$167,268$0$0$No986,000$--------986,000$--------No--------Lien
Ryan FantiPenguins (PIT)G261999-10-03CANYes199 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,076,000$182,536$0$0$No1,076,000$1,076,000$-------1,076,000$1,076,000$-------NoNo-------Lien
Tag BertuzziPenguins (PIT)C/LW/RW252001-02-18BCNo198 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$508,928$0$0$No---------------------------Lien
Trenton BlissPenguins (PIT)LW281998-03-16USAYes194 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,420,000$240,893$0$0$No1,420,000$1,420,000$-------1,420,000$1,420,000$-------NoNo-------Lien
Viktor NeuchevPenguins (PIT)LW222003-10-25RUSNo171 Lbs5 ft11NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,289,000$218,670$0$0$No1,289,000$1,289,000$-------1,289,000$1,289,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.46190 Lbs6 ft02.081,672,884$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matvey PetrovJoel TeasdaleJagger Firkus40122
2Oscar Fisker MolgaardJackson CatesMatt Stienburg30122
3Matt StienburgJagger FirkusJackson Cates20122
4Jagger FirkusMatvey PetrovOscar Fisker Molgaard10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah WarrenAkito Hirose40122
2Eamon PowellLuke Krys30122
3Luke KrysAkito Hirose20122
4Luke KrysNoah Warren10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel TeasdaleOscar Fisker MolgaardJagger Firkus60122
2Jackson CatesMatvey PetrovMatt Stienburg40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah WarrenLuke Krys60122
2Eamon PowellAkito Hirose40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matvey PetrovMatt Stienburg60122
2Jagger FirkusJackson Cates40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah WarrenLuke Krys60122
2Akito HiroseGriffin Luce40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jagger Firkus60122Noah WarrenLuke Krys60122
2Jackson Cates40122Akito HiroseColin Felix40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oscar Fisker MolgaardMatt Stienburg60122
2Jackson CatesJagger Firkus40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah WarrenEamon Powell60122
2Luke KrysAkito Hirose40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jagger FirkusMatt StienburgOscar Fisker MolgaardNoah WarrenLuke Krys
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jagger FirkusMatt StienburgOscar Fisker MolgaardNoah WarrenLuke Krys
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jagger Firkus, Matt Stienburg, Jackson CatesJackson Cates, Jagger FirkusJagger Firkus
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Krys, Noah Warren, Akito HiroseLuke KrysNoah Warren, Luke Krys
Tirs de pénalité
Jagger Firkus, Matvey Petrov, Oscar Fisker Molgaard, Jackson Cates, Matt Stienburg
Gardien
#1 : Jacob Fowler, #2 : Ryan Fanti


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
1Admirals3120000010911010000035-22110000074320.333101525012149651855203384379784417265413323.08%8362.50%046789752.06%569117448.47%36371350.91%120739613918501917949
2Americans40301000412-82010100025-32020000027-520.25046100121496518722033843797810424266714321.43%8275.00%046789752.06%569117448.47%36371350.91%120739613918501917949
3Barracuda2010000125-31000000123-11010000002-210.250246102149651826203384379783781147400.00%3166.67%046789752.06%569117448.47%36371350.91%120739613918501917949
4Bears30100011713-620100010510-51000000123-130.50078150021496518452033843797874292348200.00%9544.44%046789752.06%569117448.47%36371350.91%120739613918501917949
5Bruins1010000003-3000000000001010000003-300.00000000214965181120338437978224420100.00%2150.00%046789752.06%569117448.47%36371350.91%120739613918501917949
6Canucks211000001091110000006421010000045-120.50010182800214965183420338437978441234357685.71%2150.00%046789752.06%569117448.47%36371350.91%120739613918501917949
7Checkers5210011015114311000109632100010065170.700152338002149651878203384379787734508411654.55%10370.00%146789752.06%569117448.47%36371350.91%120739613918501917949
8Comets21000010523110000003121000001021141.0005712002149651826203384379782565317228.57%000%046789752.06%569117448.47%36371350.91%120739613918501917949
9Condors10001000211100010002110000000000021.00023500214965181120338437978248721200.00%10100.00%046789752.06%569117448.47%36371350.91%120739613918501917949
10Crunch21001000642110000002111000100043141.000610160021496518302033843797819413417228.57%4250.00%046789752.06%569117448.47%36371350.91%120739613918501917949
11Eagles52200001510-52110000015-43110000145-150.500581302214965185320338437978671728857114.29%9455.56%046789752.06%569117448.47%36371350.91%120739613918501917949
12Griffins2010010035-21000010034-11010000001-110.2503690021496518252033843797836112249111.11%10100.00%046789752.06%569117448.47%36371350.91%120739613918501917949
13Gulls21001000853110000006421000100021141.000813210021496518312033843797828415298450.00%5340.00%046789752.06%569117448.47%36371350.91%120739613918501917949
14Heat613011001113-23100110063330300000510-550.41711182901214965187320338437978123405310715213.33%9277.78%046789752.06%569117448.47%36371350.91%120739613918501917949
15IceHogs211000008801010000015-41100000073420.5008111900214965183620338437978481872337228.57%6350.00%046789752.06%569117448.47%36371350.91%120739613918501917949
16Islanders20100001510-51010000015-41000000145-110.2505101500214965183420338437978572017303133.33%6183.33%046789752.06%569117448.47%36371350.91%120739613918501917949
17Marlies2010100012-1100010001011010000002-220.500123012149651817203384379781711834200.00%4250.00%046789752.06%569117448.47%36371350.91%120739613918501917949
18Monsters20002000202100010001011000100010141.00023502214965181720338437978156236300.00%10100.00%046789752.06%569117448.47%36371350.91%120739613918501917949
19Moose3120000057-2110000002112020000036-320.33359140021496518542033843797841116535240.00%3233.33%046789752.06%569117448.47%36371350.91%120739613918501917949
20Phantoms2010000124-21000000112-11010000012-110.250235002149651822203384379781042343133.33%10100.00%046789752.06%569117448.47%36371350.91%120739613918501917949
21Reign2010010046-21000010034-11010000012-110.250471100214965182520338437978792410275120.00%50100.00%046789752.06%569117448.47%36371350.91%120739613918501917949
22Roadrunners31100010990210000108531010000014-340.6679101910214965185620338437978802819708337.50%7271.43%146789752.06%569117448.47%36371350.91%120739613918501917949
23Rocket200001104401000010034-11000001010130.7504370121496518312033843797826103332100.00%40100.00%146789752.06%569117448.47%36371350.91%120739613918501917949
24Senators2020000017-61010000014-31010000003-300.0001120021496518112033843797856834283133.33%20100.00%046789752.06%569117448.47%36371350.91%120739613918501917949
25Silver Knights210000013211000000101-11100000031230.75035800214965182720338437978281113293133.33%4175.00%046789752.06%569117448.47%36371350.91%120739613918501917949
26Stars51400000712-530300000310-72110000042220.2007111811214965184220338437978762133736233.33%8362.50%046789752.06%569117448.47%36371350.91%120739613918501917949
27Thunderbirds1010000016-5000000000001010000016-500.000123002149651811203384379785019013100.00%10100.00%046789752.06%569117448.47%36371350.91%120739613918501917949
28Wild20100001510-51000000123-11010000037-410.25058130021496518322033843797881192331100.00%9277.78%146789752.06%569117448.47%36371350.91%120739613918501917949
29Wolf Pack1010000012-11010000012-10000000000000.000123002149651811203384379781556152150.00%3233.33%046789752.06%569117448.47%36371350.91%120739613918501917949
30Wolves11000000202000000000001100000020221.000235012149651872033843797810791211100.00%20100.00%046789752.06%569117448.47%36371350.91%120739613918501917949
Total74163308557148191-4337912054347898-2037721031237093-23700.47314822937731121496518100320338437978141344058412431614628.57%1374567.15%446789752.06%569117448.47%36371350.91%120739613918501917949
_Since Last GM Reset74163308557148191-4337912054347898-2037721031237093-23700.47314822937731121496518100320338437978141344058412431614628.57%1374567.15%446789752.06%569117448.47%36371350.91%120739613918501917949
_Vs Conference489250343489129-402459033314865-1724416001034164-23380.396891382272721496518662203384379789353103038031042625.00%892967.42%246789752.06%569117448.47%36371350.91%120739613918501917949
_Vs Division13817022112431-7747021101220-864100010112111250.962243660032149651816220338437978206776420621628.57%22863.64%046789752.06%569117448.47%36371350.91%120739613918501917949

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7470L4148229377100314134405841243311
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7416338557148191
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3791254347898
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3772131237093
Derniers 10 matchs
WLOTWOTL SOWSOL
350002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1614628.57%1374567.15%4
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
2033843797821496518
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
46789752.06%569117448.47%36371350.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
120739613918501917949


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
14Penguins1Eagles3LSommaire du match
219Penguins1Americans4LSommaire du match
331Penguins4Heat5LSommaire du match
435Checkers3Penguins4WXXSommaire du match
661Admirals5Penguins3LSommaire du match
882Stars2Penguins0LSommaire du match
999Americans5Penguins1LSommaire du match
10112Penguins1Moose3LSommaire du match
12131Penguins3Checkers4LXSommaire du match
13150Heat0Penguins3WSommaire du match
15172Bears7Penguins1LSommaire du match
16185Penguins2Eagles0WSommaire du match
17196Checkers1Penguins5WSommaire du match
18212Penguins3Stars0WSommaire du match
19232Stars3Penguins1LSommaire du match
20242Penguins5Admirals0WSommaire du match
21255Penguins0Heat2LSommaire du match
23269Americans0Penguins1WXSommaire du match
24287Marlies0Penguins1WXSommaire du match
26304Penguins1Stars2LSommaire du match
27315Penguins1Phantoms2LSommaire du match
28332Wild3Penguins2LXXSommaire du match
29347Penguins1Reign2LSommaire du match
30364Reign4Penguins3LXSommaire du match
31379Comets1Penguins3WSommaire du match
32394Penguins2Gulls1WXSommaire du match
34407Penguins0Griffins1LSommaire du match
35422Penguins2Comets1WXXSommaire du match
36436Canucks4Penguins6WSommaire du match
37452Griffins4Penguins3LXSommaire du match
38469Penguins3Wild7LSommaire du match
40484Penguins4Canucks5LSommaire du match
41497Heat2Penguins1LXSommaire du match
42517Silver Knights1Penguins0LXXSommaire du match
43536Senators4Penguins1LSommaire du match
44543Penguins3Silver Knights1WSommaire du match
45563Penguins2Admirals4LSommaire du match
46579Gulls4Penguins6WSommaire du match
47597Bears3Penguins4WXXSommaire du match
48611Penguins1Monsters0WXSommaire du match
49619Penguins1Heat3LSommaire du match
50638Heat1Penguins2WXSommaire du match
51659Rocket4Penguins3LXSommaire du match
52672Penguins2Bears3LXXSommaire du match
53687Stars5Penguins2LSommaire du match
54691Penguins1Eagles2LXXSommaire du match
56721Penguins2Wolves0WSommaire du match
57731Phantoms2Penguins1LXXSommaire du match
58739Penguins0Barracuda2LSommaire du match
59762Penguins1Roadrunners4LSommaire du match
60769Monsters0Penguins1WXSommaire du match
62791Wolf Pack2Penguins1LSommaire du match
64808Penguins1Thunderbirds6LSommaire du match
65819Penguins0Senators3LSommaire du match
66835Crunch1Penguins2WSommaire du match
68853Penguins7IceHogs3WSommaire du match
69868Checkers2Penguins0LSommaire du match
70886IceHogs5Penguins1LSommaire du match
72901Penguins4Crunch3WXSommaire du match
73912Penguins3Checkers1WSommaire du match
74926Moose1Penguins2WSommaire du match
76947Eagles0Penguins1WSommaire du match
77959Penguins1Rocket0WXXSommaire du match
79982Islanders5Penguins1LSommaire du match
80990Penguins4Islanders5LXXSommaire du match
811007Roadrunners3Penguins4WXXSommaire du match
821022Penguins0Bruins3LSommaire du match
841039Roadrunners2Penguins4WSommaire du match
861066Condors1Penguins2WXSommaire du match
881091Barracuda3Penguins2LXXSommaire du match
901107Penguins1Americans3LSommaire du match
911124Eagles5Penguins0LSommaire du match
921135Penguins2Moose3LSommaire du match
931149Penguins0Marlies2LSommaire du match
941163Bruins-Penguins-
961182Thunderbirds-Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971189Penguins-Moose-
981213Wolves-Penguins-
991214Penguins-Condors-
1021248Admirals-Penguins-
1041267Penguins-Americans-
1051277Moose-Penguins-
1061287Penguins-Wolf Pack-
1081306Admirals-Penguins-
1091316Penguins-Wolf Pack-
1101319Penguins-Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance52,16527,370
Assistance PCT70.49%73.97%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2150 - 71.65% 90,057$3,332,125$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,441,959$ 4,349,500$ 4,349,500$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
38,835$ 3,611,655$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
540,345$ 19 47,763$ 907,497$




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