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Connexion

Penguins
GP: 44 | W: 17 | L: 19 | OTL: 8 | P: 42
GF: 97 | GA: 114 | PP%: 30.10% | PK%: 66.67%
DG: Scotty Mitchell | Morale : 41 | Moyenne d’équipe : 56
Prochains matchs #687 vs Stars

Centre de jeu
Rocket
25-9-10, 60pts
4
3 Penguins
17-19-8, 42pts
Team Stats
W1SéquenceSOL1
14-3-4Fiche domicile10-6-6
11-6-6Fiche domicile7-13-2
5-3-2Derniers 10 matchs5-3-2
2.36Buts par match 2.20
1.93Buts contre par match 2.59
28.09%Pourcentage en avantage numérique30.10%
76.92%Pourcentage en désavantage numérique66.67%
Penguins
17-19-8, 42pts
2
3 Bears
34-8-2, 70pts
Team Stats
SOL1SéquenceW1
10-6-6Fiche domicile18-4-0
7-13-2Fiche domicile16-4-2
5-3-2Derniers 10 matchs7-2-1
2.20Buts par match 3.75
2.59Buts contre par match 2.43
30.10%Pourcentage en avantage numérique34.27%
66.67%Pourcentage en désavantage numérique74.51%
Stars
28-10-6, 62pts
Jour 53
Penguins
17-19-8, 42pts
Statistiques d’équipe
OTL1SéquenceSOL1
14-6-2Fiche domicile10-6-6
14-4-4Fiche visiteur7-13-2
7-1-210 derniers matchs5-3-2
3.18Buts par match 2.20
2.30Buts contre par match 2.20
24.49%Pourcentage en avantage numérique30.10%
69.44%Pourcentage en désavantage numérique66.67%
Penguins
17-19-8, 42pts
Jour 54
Eagles
12-20-10, 34pts
Statistiques d’équipe
SOL1SéquenceSOL2
10-6-6Fiche domicile8-11-3
7-13-2Fiche visiteur4-9-7
5-3-210 derniers matchs3-4-3
2.20Buts par match 2.17
2.59Buts contre par match 2.17
30.10%Pourcentage en avantage numérique37.37%
66.67%Pourcentage en désavantage numérique68.75%
Penguins
17-19-8, 42pts
Jour 56
Wolves
20-16-7, 47pts
Statistiques d’équipe
SOL1SéquenceW1
10-6-6Fiche domicile11-8-3
7-13-2Fiche visiteur9-8-4
5-3-210 derniers matchs2-3-5
2.20Buts par match 1.93
2.59Buts contre par match 1.93
30.10%Pourcentage en avantage numérique25.56%
66.67%Pourcentage en désavantage numérique76.54%
Meneurs d'équipe
Buts
Oscar Fisker Molgaard
19
Passes
Matt Stienburg
20
Points
Matt Stienburg
35
Plus/Moins
Akil Thomas
6
Victoires
Jacob Fowler
17
Pourcentage d’arrêts
Jacob Fowler
0.873

Statistiques d’équipe
Buts pour
97
2.20 GFG
Tirs pour
603
13.70 Avg
Pourcentage en avantage numérique
30.1%
31 GF
Début de zone offensive
32.6%
Buts contre
114
2.59 GAA
Tirs contre
865
19.66 Avg
Pourcentage en désavantage numérique
66.7%%
27 GA
Début de la zone défensive
41.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,157
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)X99.0070609167617984615059605855464660596002131,286,000$
2Akil Thomas (R)XX99.0082689172725550614459576625484860395902621,132,000$
3Matt StienburgX97.0073717780714541627660596155464660575902512,999,999$
4Matvey Petrov (R)X99.0080759366776467555048586454464659625802331,285,000$
5Jackson CatesXXX96.0075708864707379526546556051464657695702811,040,000$
6Joel TeasdaleX97.0077767765767177525048536148464655605702711,078,000$
7Viktor NeuchevX100.0071639566644846595058566154454559545602231,289,000$
8Roman AhcanX100.006961886661555557504763586046465837560262986,000$
9Filip Mesar (R)X100.0070658766675960545057465845464655525502231,277,000$
10Gavin Brindley (R)X100.0068599265606467506549495748464654525502131,280,000$
11Ben BerardX100.0070707380703632555037696067454559525502712,999,999$
12Connor Kurth (R)X100.0077778281783531515055436142464653515502231,287,000$
13Noah Warren (R)X100.0083838262846976452535406437464650656002131,284,000$
14Luke Krys (R)X100.0074708464707076502544415939464651515802512,999,999$
15Eamon Powell (R)X100.0074649981653631622550586455464659475802331,366,000$
16Griffin Luce (R)X100.0086809980803230402527386237464648295502831,406,000$
17Akito HiroseX100.0066647663645354502542425540464649555402612,999,999$
18Alex Kannok LeipertX100.006873626273505244253240553946464651530252984,000$
Rayé
1Oscar Fisker Molgaard (R)X100.0072619981625150577050615955464659565802131,304,000$
2Cooper WalkerX100.0075689063684544536647546251444457205402312,999,999$
3Trenton Bliss (R)X100.0075718580713632525038616258444458205402731,420,000$
4Aidan Thompson (R)X100.0076669980664749445538446042444452205202400$
5Tag BertuzziXXX100.0076718980713533445538446042444451205102512,999,999$
6Colin Felix (R)X100.0070746062744545452535405738444448205202712,999,999$
MOYENNE D’ÉQUIPE99.46746986717052535247465160474646554656
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)100.004751648046954654948145464660826402131,715,000$
2Ryan Fanti (R)100.004440508045904650908145444460676002631,076,000$
Rayé
MOYENNE D’ÉQUIPE100.0046465780469346529281454545607562
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
1Matt StienburgPenguins (PIT)C44152035-124315455873284420.55%1384919.30613192075000070059.33%150228010.8202102331
2Jagger FirkusPenguins (PIT)RW44141933-17175628387285616.09%22101623.10751224770001173047.04%2701620000.6516100202
3Oscar Fisker MolgaardPenguins (PIT)C40191029-62525448282245123.17%1683120.78771416691012322154.00%5502119000.7015122334
4Jackson CatesPenguins (PIT)C/LW/RW4481422-185030487850184716.00%1896421.922355660000424050.90%3321915000.4613402214
5Joel TeasdalePenguins (PIT)LW44111122-13402068624883122.92%1396421.915168640112561045.33%1501720000.4626103131
6Eamon PowellPenguins (PIT)D441181962026635524131.82%2885119.350110800001000%01626000.4500000010
7Akil ThomasPenguins (PIT)C/RW388816680405033133024.24%1365917.351341291014162140.00%120148000.4900000202
8Matvey PetrovPenguins (PIT)LW4461016-14420485525102224.00%970416.011342310002222035.29%3465000.4501301121
9Luke KrysPenguins (PIT)D4411415-12221043822923103.45%33108424.65088284011363000%0918000.2800011011
10Noah WarrenPenguins (PIT)D4411112-754305980321793.13%38113625.84156586011061000%0819000.2100303100
11Roman AhcanPenguins (PIT)LW39527-12025312471020.83%33549.091014151012210033.33%2446000.3900000100
12Akito HirosePenguins (PIT)D44156-5115306018795.56%1678417.840111540000500040.00%5614000.1500100000
13Viktor NeuchevPenguins (PIT)LW4204410017208340%03488.3100004000060061.54%1373000.2300000100
14Filip MesarPenguins (PIT)RW44314-3403242164118.75%652812.0200015000000057.14%777000.1500000010
15Alex Kannok LeipertPenguins (PIT)D44044-722032403110%462614.250111400007000%0211000.1300000000
16Gavin BrindleyPenguins (PIT)C44112-120303413267.69%047610.8300007000050047.13%8764000.0800000000
17Griffin LucePenguins (PIT)D44011-16175364764100%2380918.39000060000241000%01119000.0200001001
18Ben BerardPenguins (PIT)LW44000020111000%0300.700000000000000%10000000000000
19Connor KurthPenguins (PIT)RW44000-2201840320%01743.960000000000000%11200000000000
Statistiques d’équipe totales ou en moyenne81994153247-10836716570497260322435615.59%2551319716.11315182907463361845314250.06%1744192224010.3752315315171517
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)44171980.8732.45255208104817366210.78323440312
2Ryan FantiPenguins (PIT)50000.8722.8812500647210000044000
Statistiques d’équipe totales ou en moyenne49171980.8732.4726780811086438721234444312


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$606,429$0$0$No1,132,000$--------1,132,000$--------No--------Lien
Akito HirosePenguins (PIT)D261999-04-09CANNo170 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$1,607,142$0$0$No---------------------------Lien
Alex Kannok LeipertPenguins (PIT)D252000-07-20THINo200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm984,000$527,143$0$0$No984,000$--------984,000$--------No--------Lien
Ben BerardPenguins (PIT)LW271999-02-13BCNo192 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$1,607,142$0$0$No---------------------------Lien
Colin FelixPenguins (PIT)D271999-01-07USAYes203 Lbs6 ft1NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$1,607,142$0$0$No---------------------------Lien
Connor KurthPenguins (PIT)RW222003-07-30USAYes215 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,287,000$689,464$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$1,607,142$0$0$No---------------------------Lien
Eamon PowellPenguins (PIT)D232002-05-10USAYes175 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,366,000$731,786$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$684,107$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$685,714$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$753,214$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$557,143$0$0$No---------------------------Lien
Jacob FowlerPenguins (PIT)G212004-11-24USAYes211 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,715,000$918,750$0$0$No1,715,000$1,715,000$-------1,715,000$1,715,000$-------NoNo-------Lien
Jagger FirkusPenguins (PIT)RW212004-04-29CANYes163 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$688,929$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$577,500$0$0$No---------------------------Lien
Luke KrysPenguins (PIT)D252000-09-27USAYes185 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$1,607,142$0$0$No---------------------------Lien
Matt StienburgPenguins (PIT)C252000-10-07CANNo182 Lbs6 ft1NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$1,607,142$0$0$No---------------------------Lien
Matvey PetrovPenguins (PIT)LW232003-03-12RUSYes200 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,285,000$688,393$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$687,857$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$698,571$0$0$No1,304,000$1,304,000$-------1,304,000$1,304,000$-------NoNo-------Lien
Roman AhcanPenguins (PIT)LW261999-03-24USANo170 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm986,000$528,214$0$0$No986,000$--------986,000$--------No--------Lien
Ryan FantiPenguins (PIT)G261999-10-03CANYes199 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,076,000$576,429$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$1,607,142$0$0$No---------------------------Lien
Trenton BlissPenguins (PIT)LW271998-03-16USAYes194 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,420,000$760,714$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$690,536$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
2624.31190 Lbs6 ft02.081,672,884$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matvey PetrovAkil ThomasJagger Firkus40122
2Matt StienburgJackson CatesJoel Teasdale30122
3Joel TeasdaleJagger FirkusJackson Cates20122
4Jagger FirkusMatvey PetrovMatt Stienburg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah WarrenEamon Powell40122
2Griffin LuceLuke Krys30122
3Luke KrysAkito Hirose20122
4Alex Kannok LeipertNoah Warren10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Akil ThomasMatt StienburgJagger Firkus60122
2Jackson CatesMatvey PetrovJoel Teasdale40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah WarrenLuke Krys60122
2Griffin LuceAkito Hirose40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joel TeasdaleMatt 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
2Joel Teasdale40122Alex Kannok LeipertGriffin Luce40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt StienburgJoel Teasdale60122
2Jackson CatesJagger Firkus40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah WarrenGriffin Luce60122
2Luke KrysAkito Hirose40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jagger FirkusJoel TeasdaleMatt StienburgNoah WarrenLuke Krys
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jagger FirkusJoel TeasdaleMatt StienburgNoah WarrenLuke Krys
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jagger Firkus, Joel Teasdale, Matt StienburgJackson Cates, Jagger FirkusJoel Teasdale
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Krys, Noah Warren, Alex Kannok LeipertLuke KrysNoah Warren, Luke Krys
Tirs de pénalité
Jagger Firkus, Matvey Petrov, Joel Teasdale, 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
1Admirals3120000010911010000035-22110000074320.333101525011329471055122213237544417265413323.08%8362.50%028755751.53%35170949.51%23544153.29%7212398235001134565
2Americans3020100039-62010100025-31010000014-320.333347011329471054122213237547821155010220.00%5180.00%028755751.53%35170949.51%23544153.29%7212398235001134565
3Bears30100011713-620100010510-51000000123-130.50078150013294710451222132375474292348200.00%9544.44%028755751.53%35170949.51%23544153.29%7212398235001134565
4Canucks211000001091110000006421010000045-120.50010182800132947103412221323754441234357685.71%2150.00%028755751.53%35170949.51%23544153.29%7212398235001134565
5Checkers310001101284210000109451000010034-150.83312193100132947106312221323754482239418450.00%7357.14%128755751.53%35170949.51%23544153.29%7212398235001134565
6Comets21000010523110000003121000001021141.0005712001329471026122213237542565317228.57%000%028755751.53%35170949.51%23544153.29%7212398235001134565
7Eagles21100000330000000000002110000033020.5003580113294710151222132375430914363133.33%220.00%028755751.53%35170949.51%23544153.29%7212398235001134565
8Griffins2010010035-21000010034-11010000001-110.2503690013294710251222132375436112249111.11%10100.00%028755751.53%35170949.51%23544153.29%7212398235001134565
9Gulls21001000853110000006421000100021141.000813210013294710311222132375428415298450.00%5340.00%028755751.53%35170949.51%23544153.29%7212398235001134565
10Heat613011001113-23100110063330300000510-550.41711182901132947107312221323754123405310715213.33%9277.78%028755751.53%35170949.51%23544153.29%7212398235001134565
11Marlies10001000101100010001010000000000021.000123011329471081222132375474021100.00%000%028755751.53%35170949.51%23544153.29%7212398235001134565
12Monsters10001000101000000000001000100010121.000123011329471091222132375472019200.00%000%028755751.53%35170949.51%23544153.29%7212398235001134565
13Moose1010000013-2000000000001010000013-200.000123001329471012122213237541914212150.00%2150.00%028755751.53%35170949.51%23544153.29%7212398235001134565
14Phantoms1010000012-1000000000001010000012-100.00012300132947108122213237544021511100.00%10100.00%028755751.53%35170949.51%23544153.29%7212398235001134565
15Reign2010010046-21000010034-11010000012-110.250471100132947102512221323754792410275120.00%50100.00%028755751.53%35170949.51%23544153.29%7212398235001134565
16Rocket1000010034-11000010034-10000000000010.500336001329471018122213237541663113000%30100.00%128755751.53%35170949.51%23544153.29%7212398235001134565
17Senators1010000014-31010000014-30000000000000.0001120013294710101222132375432234162150.00%20100.00%028755751.53%35170949.51%23544153.29%7212398235001134565
18Silver Knights210000013211000000101-11100000031230.75035800132947102712221323754281113293133.33%4175.00%028755751.53%35170949.51%23544153.29%7212398235001134565
19Stars4130000057-22020000015-42110000042220.250581311132947103312221323754621524574125.00%7357.14%028755751.53%35170949.51%23544153.29%7212398235001134565
20Wild20100001510-51000000123-11010000037-410.25058130013294710321222132375481192331100.00%9277.78%128755751.53%35170949.51%23544153.29%7212398235001134565
Total449190553397114-172256034225461-722413021114353-10420.477971532501713294710603122213237548652553677041033130.10%812766.67%328755751.53%35170949.51%23544153.29%7212398235001134565
_Since Last GM Reset449190553397114-172256034225461-722413021114353-10420.477971532501713294710603122213237548652553677041033130.10%812766.67%328755751.53%35170949.51%23544153.29%7212398235001134565
_Vs Conference31516034216178-171525033203340-716311001012838-10250.4036196157161329471041612221323754604193212501731723.29%562064.29%128755751.53%35170949.51%23544153.29%7212398235001134565
_Vs Division7512022101417-332402110811-343800100660181.28614193301132947108812221323754110373011312325.00%10550.00%028755751.53%35170949.51%23544153.29%7212398235001134565

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4442SOL19715325060386525536770417
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
44919553397114
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
225634225461
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2241321114353
Derniers 10 matchs
WLOTWOTL SOWSOL
530101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1033130.10%812766.67%3
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1222132375413294710
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
28755751.53%35170949.51%23544153.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
7212398235001134565


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
53687Stars-Penguins-
54691Penguins-Eagles-
56721Penguins-Wolves-
57731Phantoms-Penguins-
58739Penguins-Barracuda-
59762Penguins-Roadrunners-
60769Monsters-Penguins-
62791Wolf Pack-Penguins-
64808Penguins-Thunderbirds-
65819Penguins-Senators-
66835Crunch-Penguins-
68853Penguins-IceHogs-
69868Checkers-Penguins-
70886IceHogs-Penguins-
72901Penguins-Crunch-
73912Penguins-Checkers-
74926Moose-Penguins-
76947Eagles-Penguins-
77959Penguins-Rocket-
79982Islanders-Penguins-
80990Penguins-Islanders-
811007Roadrunners-Penguins-
821022Penguins-Bruins-
841039Roadrunners-Penguins-
861066Condors-Penguins-
881091Barracuda-Penguins-
901107Penguins-Americans-
911124Eagles-Penguins-
921135Penguins-Moose-
931149Penguins-Marlies-
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
Assistance31,09116,364
Assistance PCT70.66%74.38%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 2157 - 71.90% 90,324$1,987,132$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,483,676$ 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$ 2,019,420$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,896,808$ 60 47,763$ 2,865,780$




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