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Penguins
GP: 62 | W: 33 | L: 25 | OTL: 4 | P: 70
GF: 203 | GA: 195 | PP%: 28.33% | PK%: 69.43%
DG: NFHL | Morale : 93 | Moyenne d’équipe : N/A
Prochains matchs #981 vs Senators

Centre de jeu
Penguins
33-25-4, 70pts
2
FINAL
3 Blossom Bytes
42-14-4, 88pts
Team Stats
L1SéquenceW2
16-13-1Fiche domicile20-8-2
17-12-3Fiche domicile22-6-2
4-3-3Derniers 10 matchs8-1-1
3.27Buts par match 4.55
3.15Buts contre par match 3.45
28.33%Pourcentage en avantage numérique29.91%
69.43%Pourcentage en désavantage numérique73.33%
Admirals
32-24-4, 68pts
3
FINAL
1 Penguins
33-25-4, 70pts
Team Stats
W6SéquenceL1
13-14-4Fiche domicile16-13-1
19-10-0Fiche domicile17-12-3
7-3-0Derniers 10 matchs4-3-3
3.85Buts par match 3.27
3.68Buts contre par match 3.15
25.00%Pourcentage en avantage numérique28.33%
70.63%Pourcentage en désavantage numérique69.43%
Senators
31-24-7, 69pts
Jour 138
Penguins
33-25-4, 70pts
Statistiques d’équipe
W2SéquenceL1
15-9-6Fiche domicile16-13-1
16-15-1Fiche visiteur17-12-3
4-6-010 derniers matchs4-3-3
3.58Buts par match 3.27
3.84Buts contre par match 3.27
36.29%Pourcentage en avantage numérique28.33%
70.80%Pourcentage en désavantage numérique69.43%
Penguins
33-25-4, 70pts
Jour 140
Bills
29-27-3, 61pts
Statistiques d’équipe
L1SéquenceW2
16-13-1Fiche domicile16-13-2
17-12-3Fiche visiteur13-14-1
4-3-310 derniers matchs6-4-0
3.27Buts par match 3.88
3.15Buts contre par match 3.88
28.33%Pourcentage en avantage numérique29.93%
69.43%Pourcentage en désavantage numérique69.77%
White Wolves
34-21-8, 76pts
Jour 142
Penguins
33-25-4, 70pts
Statistiques d’équipe
W3SéquenceL1
14-10-6Fiche domicile16-13-1
20-11-2Fiche visiteur17-12-3
7-2-110 derniers matchs4-3-3
3.86Buts par match 3.27
3.44Buts contre par match 3.27
29.29%Pourcentage en avantage numérique28.33%
70.89%Pourcentage en désavantage numérique69.43%
Meneurs d'équipe
Buts
Ivan Ivan
42
Passes
Fabian Lysell
46
Points
Ivan Ivan
80
Plus/Moins
Brady Lyle
25
Victoires
Aleksei Kolosov
4
Pourcentage d’arrêts
Aleksei Kolosov
0.898

Statistiques d’équipe
Buts pour
203
3.27 GFG
Tirs pour
1737
28.02 Avg
Pourcentage en avantage numérique
28.3%
68 GF
Début de zone offensive
34.7%
Buts contre
195
3.15 GAA
Tirs contre
1943
31.34 Avg
Pourcentage en désavantage numérique
69.4%%
81 GA
Début de la zone défensive
40.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance6,899
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 KindoppXX100.0060606060607070606060606060606608400251716,625$
2Adam BeckmanXX100.0060606060607070606060606060536108300231909,563$
3Filip HallanderXXX100.00606060606070706060606060605462077002412,125,000$
4Fabian LysellXX100.00605088706980906761686666654358078002121,575,000$
5Jaret Anderson-DolanX100.00735090657576886462646373655560077002511,000,000$
6Jack BeckXX100.0060606060607070606060606060415606600211650,000$
7Viljami MarjalaXXX100.0060606060607070606060606060415607200211700,000$
8Ivan IvanX100.00635093737277937164656966654156085002221,100,000$
9Brian HalonenXX100.00625088707880906361626469656260084002511,350,000$
10Samuel HonzekXXX100.00625092677279886361646370654055072012021,500,000$
11Gabe Smith (R)X100.0060606060607070606060606060465507100183825,000$
12Matvei Gridin (R)XX100.00606060606070706060606060604255074001831,500,000$
13Christoffer SedoffX100.0060606060607070606060606060485706800221708,750$
14Ashton SautnerX100.0060606060607070606060606060676908400301760,000$
15Brady LyleX100.0060606060607070606060606060596308000251716,625$
16Luke ProkopX100.00606060606070706060606060605559085002211,023,750$
17Atro LeppanenX100.0060606060607070606060606060405506100262900,000$
18Ronald AttardX100.00606060606070706060606060604257076002511,023,750$
Rayé
1Gavin HayesXX100.0060606060607070606060606060415606800201975,000$
2Cole OHara (R)X100.0060606060607070606060606060465507400222750,000$
3Dans Locmelis (R)XX100.0060606060607070606060606060445507200203825,000$
4Jesse Kiiskinen (R)X100.0060606060607070606060606060445506600193975,000$
5Jack AndersonX100.0060606060607070606060606060435809200222680,000$
6Donovan SebrangoX92.06605080698377866225636266655361075002221,074,938$
7Tomas HamaraX100.0060606060607070606060606060415603900201975,000$
8David SpacekX100.0060606060607070606060606060415603900211750,000$
9Matt BasgallX100.0060606060607070606060606060405507400221650,000$
10Matthew AndonovskiX100.0060606060607070606060606060405507001192750,000$
MOYENNE D’ÉQUIPE99.716158666263727461596161626147580730
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
1Pheonix Copley100.006070706060606060606060717706700322770,000$
2Aleksei Kolosov100.006376717684646764646272564108500221975,000$
Rayé
1Calvin Petersen100.006070706060606060606060586605600302850,000$
2Ty Young100.006070706060606060606060415606800201700,000$
MOYENNE D’ÉQUIPE100.00617270646661626161616357600690
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
1Ivan IvanPenguins (PIT)C5742388022420761382687916215.67%42134323.571915344614434791474348.68%10235936031.1914202954
2Fabian LysellPenguins (PIT)LW/RW6227467396450801032288114911.84%33130921.11720273216033691266247.06%3914622111.1201163649
3Brian HalonenPenguins (PIT)LW/RW6025376264030801082037110612.32%44129921.657172430148213121146346.35%6303725000.9504321363
4Bryce KindoppPenguins (PIT)LW/RW621824428116708683143477412.59%33120719.4767132615122461123138.74%1111518000.7005239314
5Adam BeckmanPenguins (PIT)LW/RW6217234014136808799132297812.88%37118619.13481218141303111434151.16%861722000.6712844123
6Jaret Anderson-DolanPenguins (PIT)C55182240-115157178115348215.65%30102418.6281321241070001391348.38%3391013010.7811021330
7Samuel HonzekPenguins (PIT)C/LW/RW4812233583725455890296313.33%1974115.444812984000041147.74%2662111000.9400113211
8Donovan SebrangoPenguins (PIT)D551217291158405074102293811.76%75135824.70617151271567169310%02745000.4312323051
9Ashton SautnerPenguins (PIT)D6051823-11715577998037306.25%84142323.73358141540001120010%01734000.3200416011
10Brady LylePenguins (PIT)D601181925914559717231281.39%79129921.65167221630225172000%01230000.2900045001
11Filip HallanderPenguins (PIT)C/LW/RW4051419-2673559477120267.04%1461615.401452500110461046.26%281510000.6200214010
12Luke ProkopPenguins (PIT)D52291111995546594023205.00%61108220.8222471360111124000%01231000.2000434000
13Gavin HayesPenguins (PIT)LW/RW294593602028302710714.81%633611.6000004000020046.23%10613000.5400112002
14Jesse KiiskinenPenguins (PIT)RW3125761604037275167.41%643013.8900000000000046.73%199011000.3300000011
15Cole OHaraPenguins (PIT)RW302352242013181541213.33%12157.2000003000000046.00%5003000.4600103001
16Gabe SmithPenguins (PIT)C2523502420251622519.09%62329.3000000000000041.18%1721000.4300211101
17Atro LeppanenPenguins (PIT)D35044-105335193716690%1652515.01000211011130000%0213000.1500151000
18Jack BeckPenguins (PIT)LW/RW29134-2140131231633.33%21455.0300006000021038.46%1313000.5500000000
19Ronald AttardPenguins (PIT)D51033682503443268120%2774314.58000232000235000%1811000.0800334000
20Viljami MarjalaPenguins (PIT)C/LW/RW33213-1956962133.33%1872.6400003000010058.82%1701000.6900001000
21Matt BasgallPenguins (PIT)D28123758301222151056.67%3045716.33000332000037000%119000.1300222000
22Dans LocmelisPenguins (PIT)C/LW39123-4200351113887.69%63619.2800003000040030.00%2014000.1700000000
23Christoffer SedoffPenguins (PIT)D33011-4423018205310%1536511.0800011200004100100.00%226000.0500321000
24Matvei GridinPenguins (PIT)LW/RW30101-42115242912768.33%42438.1100000000000046.34%8222000.0800102000
25Tomas HamaraPenguins (PIT)D3000000010000%1227.440000000000000%00000000000000
26David SpacekPenguins (PIT)D17000-311510164350%41699.9900000000114000%02500000010000
27Matthew AndonovskiPenguins (PIT)D30000-1202102020%61073.580000300005000%00400000000000
Statistiques d’équipe totales ou en moyenne111620032152185135475010951328173758294711.51%6821833416.43681061742531685142034661496301647.18%3635300373150.57419444462283032
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 DobesPenguins43271220.9092.772513421161268672310.87516431541
2Aleksei KolosovPenguins (PIT)134720.8983.22765014140120510021238002
3Pheonix CopleyPenguins (PIT)51400.8684.952790023174921100410000
4Calvin PetersenPenguins (PIT)41200.8883.4419200119856000038001
Statistiques d’équipe totales ou en moyenne65332540.9023.063751431911941102552186257544


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$251,581$90,956$25,158$No---------------------------
Aleksei KolosovPenguins (PIT)G222002-01-04BLRNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$269,681$97,500$26,968$No---------------------------
Ashton SautnerPenguins (PIT)D301994-05-27CANNo195 Lbs6 ft1NoNoAssign ManuallyNoNo12025-11-06FalseFalsePro & Farm760,000$210,213$76,000$21,021$No---------------------------
Atro LeppanenPenguins (PIT)D261998-12-14FINNo183 Lbs6 ft0NoNoAssign ManuallyNoNo22025-11-06FalseFalsePro & Farm900,000$248,936$90,000$24,894$No900,000$--------900,000$--------No--------
Brady LylePenguins (PIT)D251999-06-06CANNo203 Lbs6 ft1NoNoTrade2025-11-01NoNo12025-09-08FalseFalsePro & Farm716,625$198,215$71,662$19,821$No---------------------------
Brian HalonenPenguins (PIT)LW/RW251999-01-11USANo207 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-08FalseFalsePro & Farm1,350,000$373,404$135,000$37,340$No---------------------------
Bryce KindoppPenguins (PIT)LW/RW251999-06-14CANNo185 Lbs6 ft1NoNoN/ANoNo12024-08-31FalseFalsePro & Farm716,625$198,215$71,662$19,821$No---------------------------
Calvin PetersenPenguins (PIT)G301994-10-19USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo22025-11-06FalseFalsePro & Farm850,000$235,106$85,000$23,511$No850,000$--------850,000$--------No--------
Christoffer SedoffPenguins (PIT)D222002-02-20FINNo196 Lbs6 ft1NoNoTrade2025-10-20NoNo12025-09-08FalseFalsePro & Farm708,750$196,037$70,875$19,604$No---------------------------
Cole OHaraPenguins (PIT)RW222002-06-20CANYes187 Lbs5 ft10NoNoProspectNoNo22025-08-30FalseFalsePro & Farm750,000$207,447$75,000$20,745$No750,000$--------750,000$--------No--------
Dans LocmelisPenguins (PIT)C/LW202004-01-21LATYes179 Lbs5 ft11NoNoProspectNoNo32025-08-30FalseFalsePro & Farm825,000$228,191$82,500$22,819$No825,000$825,000$-------825,000$825,000$-------NoNo-------
David SpacekPenguins (PIT)D212003-02-18CZENo174 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$207,447$75,000$20,745$No---------------------------
Donovan Sebrango (sur la masse salariale)Penguins (PIT)D222002-01-12CANNo221 Lbs6 ft2NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,074,938$297,323$107,494$29,732$No1,074,938$--------1,074,938$--------No--------
Fabian LysellPenguins (PIT)LW/RW212003-01-19SWENo181 Lbs5 ft11NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,575,000$435,638$157,500$43,564$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$571,237$2,125,000$571,237$No---------------------------
Gabe SmithPenguins (PIT)C182006-08-03CANYes207 Lbs6 ft3NoNoDraftNoNo32025-08-30FalseFalsePro & Farm825,000$228,191$82,500$22,819$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Gavin HayesPenguins (PIT)LW/RW202004-05-14USANo176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$269,681$97,500$26,968$No---------------------------
Ivan IvanPenguins (PIT)C222002-08-20CZENo190 Lbs6 ft0NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,100,000$304,255$110,000$30,426$No1,100,000$--------1,100,000$--------No--------
Jack AndersonPenguins (PIT)D222002-11-14USANo225 Lbs6 ft4NoNoAssign ManuallyNoNo22026-03-21FalseFalsePro & Farm680,000$188,085$68,000$18,809$No680,000$--------680,000$--------No--------
Jack BeckPenguins (PIT)LW/RW212003-04-12CANNo161 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Jaret Anderson-DolanPenguins (PIT)C251999-09-12CANNo200 Lbs5 ft11NoNoAssign ManuallyNoNo12025-11-08FalseFalsePro & Farm1,000,000$276,596$100,000$27,660$No---------------------------
Jesse KiiskinenPenguins (PIT)RW192005-08-23FINYes190 Lbs5 ft11NoNoProspectNoNo32025-08-30FalseFalsePro & Farm975,000$269,681$97,500$26,968$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Luke ProkopPenguins (PIT)D222002-05-06CANNo218 Lbs6 ft4NoNoTrade2025-10-20NoNo1FalseFalsePro & Farm1,023,750$283,165$102,375$28,316$No---------------------------
Matt BasgallPenguins (PIT)D222002-08-16USANo190 Lbs5 ft10NoNoFree AgentNoNo12025-07-04FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Matthew AndonovskiPenguins (PIT)D192005-03-14CANNo201 Lbs6 ft2NoNoProspectNoNo22024-08-30FalseFalsePro & Farm750,000$207,447$75,000$20,745$No750,000$--------750,000$--------No--------
Matvei GridinPenguins (PIT)LW/RW182006-03-01RUSYes190 Lbs5 ft11NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,500,000$414,894$150,000$41,489$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$212,979$77,000$21,298$No770,000$--------770,000$--------No--------
Ronald AttardPenguins (PIT)D251999-03-20USANo208 Lbs6 ft3NoNoN/ANoNo12024-08-31FalseFalsePro & Farm1,023,750$283,165$102,375$28,316$No---------------------------
Samuel HonzekPenguins (PIT)C/LW/RW202004-11-12SVKNo186 Lbs6 ft4NoNoProspectNoNo22024-08-30FalseFalsePro & Farm1,500,000$414,894$150,000$41,489$No1,500,000$--------1,500,000$--------No--------
Tomas HamaraPenguins (PIT)D202004-03-09CZENo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$269,681$97,500$26,968$No---------------------------
Ty YoungPenguins (PIT)G202004-09-11CANNo183 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$193,617$70,000$19,362$No---------------------------
Viljami MarjalaPenguins (PIT)C/LW/RW212003-01-29FINNo176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$193,617$70,000$19,362$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3222.63192 Lbs6 ft11.56962,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaret Anderson-DolanIvan IvanBrian Halonen28122
2Samuel HonzekFabian LysellMatvei Gridin28122
3Bryce KindoppFilip HallanderAdam Beckman25122
4Jaret Anderson-DolanBrian HalonenIvan Ivan19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christoffer SedoffAshton Sautner28122
2Brady LyleRonald Attard28122
3Luke ProkopAtro Leppanen25122
4Ashton SautnerLuke Prokop19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ivan IvanJaret Anderson-DolanBryce Kindopp50122
2Fabian LysellBrian HalonenAdam Beckman50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke ProkopAshton Sautner50122
2Brady LyleRonald Attard50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brian HalonenBryce Kindopp50122
2Ivan IvanAdam Beckman50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ronald AttardBrady Lyle50122
2Luke ProkopAshton Sautner50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ivan Ivan50122Brady LyleLuke Prokop50122
2Adam Beckman50122Ashton SautnerRonald Attard50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brian HalonenIvan Ivan50122
2Adam BeckmanBryce Kindopp50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady LyleRonald Attard50122
2Ashton SautnerLuke Prokop50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian LysellBrian HalonenIvan IvanAshton SautnerLuke Prokop
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian LysellBrian HalonenIvan IvanAshton SautnerLuke Prokop
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bryce Kindopp, Adam Beckman, Ivan IvanBryce Kindopp, Adam BeckmanAdam Beckman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brady Lyle, Luke Prokop, Ashton SautnerAshton SautnerAshton Sautner, Luke Prokop
Tirs de pénalité
Bryce Kindopp, Brian Halonen, Ivan Ivan, Adam Beckman, Fabian Lysell
Gardien
#1 : Aleksei Kolosov, #2 : Pheonix Copley


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
1Admirals523000001120-92110000056-131200000614-840.40011182900487079715146857168234195591329013323.08%16850.00%0595126047.22%684148046.22%43689548.72%113950612756531340667
2Americans33000000835220000005231100000031261.0008111901487079775468571682345833904914214.29%10190.00%1595126047.22%684148046.22%43689548.72%113950612756531340667
3Bears632001001514142200000101002100010054170.583152338014870797149468571682341946916512617317.65%25580.00%1595126047.22%684148046.22%43689548.72%113950612756531340667
4Bills11000000523110000005230000000000021.0005914004870797294685716823438725236233.33%000%0595126047.22%684148046.22%43689548.72%113950612756531340667
5Blood Miners11000000312110000003120000000000021.0003470048707971946857168234261117195240.00%60100.00%0595126047.22%684148046.22%43689548.72%113950612756531340667
6Blossom Bytes512010012022-221100000910-1301010011112-150.50020325200487079717846857168234173511249322836.36%23578.26%3595126047.22%684148046.22%43689548.72%113950612756531340667
7Bulldogs11000000321110000003210000000000021.000336004870797244685716823418911165120.00%3233.33%0595126047.22%684148046.22%43689548.72%113950612756531340667
8Crunch1010000024-21010000024-20000000000000.000224004870797134685716823419910134125.00%5260.00%1595126047.22%684148046.22%43689548.72%113950612756531340667
9Eagles10001000321100010003210000000000021.000347004870797274685716823437121224200.00%60100.00%0595126047.22%684148046.22%43689548.72%113950612756531340667
10Griffins11000000523000000000001100000052321.0005611004870797284685716823431131117400.00%3233.33%0595126047.22%684148046.22%43689548.72%113950612756531340667
11Grisards302000101014-41000001032120200000712-520.33310142400487079768468571682341163540567228.57%15566.67%1595126047.22%684148046.22%43689548.72%113950612756531340667
12Gulls211000006331010000012-11100000051420.500610160048707973546857168234451925362150.00%50100.00%0595126047.22%684148046.22%43689548.72%113950612756531340667
13Moose32000100642110000002022100010044050.833610160148707976546857168234583132383133.33%110100.00%1595126047.22%684148046.22%43689548.72%113950612756531340667
14Norsemen302000101113-200000000000302000101113-220.333111930004870797924685716823410636734814428.57%19857.89%0595126047.22%684148046.22%43689548.72%113950612756531340667
15Octopus11000000871110000008710000000000021.000812200048707974146857168234371020147457.14%5340.00%0595126047.22%684148046.22%43689548.72%113950612756531340667
16Phantoms3120000068-22020000037-41100000031220.3336111700487079771468571682341124764599111.11%12466.67%0595126047.22%684148046.22%43689548.72%113950612756531340667
17Rams311010001183210010009541010000023-140.667111627004870797904685716823411136344616637.50%7271.43%0595126047.22%684148046.22%43689548.72%113950612756531340667
18Redhawks11000000514000000000001100000051421.00056110048707973246857168234281032215120.00%10100.00%0595126047.22%684148046.22%43689548.72%113950612756531340667
19Reign10000010431000000000001000001043121.000459004870797284685716823431101022500.00%5180.00%0595126047.22%684148046.22%43689548.72%113950612756531340667
20Roadrunners1010000035-2000000000001010000035-200.000358104870797384685716823435918255240.00%440.00%0595126047.22%684148046.22%43689548.72%113950612756531340667
21Saints1010000035-21010000035-20000000000000.0003580048707972846857168234251532156350.00%6266.67%0595126047.22%684148046.22%43689548.72%113950612756531340667
22Senators1010000046-2000000000001010000046-200.0004812004870797364685716823439192017500.00%5420.00%1595126047.22%684148046.22%43689548.72%113950612756531340667
23Silver Knights1000000145-11000000145-10000000000010.50048120048707972646857168234341621144125.00%3233.33%0595126047.22%684148046.22%43689548.72%113950612756531340667
24Titans633000002123-2413000001319-62200000084460.500213960004870797177468571682341945716510527933.33%451371.11%3595126047.22%684148046.22%43689548.72%113950612756531340667
25Whalers3120000010821010000024-22110000084420.33310152500487079790468571682348028804712433.33%10370.00%0595126047.22%684148046.22%43689548.72%113950612756531340667
26Wolf Pack3210000012930000000000032100000129340.66712203210487079798468571682348823524715426.67%11463.64%2595126047.22%684148046.22%43689548.72%113950612756531340667
27Wolves11000000413000000000001100000041321.0004610004870797294685716823415843156350.00%4175.00%0595126047.22%684148046.22%43689548.72%113950612756531340667
Total622725032322031958301313020119395-23214120122111010010700.5652033215242348707971737468571682341943682135810952406828.33%2658169.43%14595126047.22%684148046.22%43689548.72%113950612756531340667
_Since Last GM Reset622725032322031958301313020119395-23214120122111010010700.5652033215242348707971737468571682341943682135810952406828.33%2658169.43%14595126047.22%684148046.22%43689548.72%113950612756531340667
_Vs Conference50212202221155156-122911010106267-52812110121193894530.530155252407134870797140446857168234158455111398721825128.02%2186371.10%13595126047.22%684148046.22%43689548.72%113950612756531340667
_Vs Division1113130210139261366801000211385750110118135321.45539589701487079730046857168234311125233180551425.45%341264.71%3595126047.22%684148046.22%43689548.72%113950612756531340667

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6270L1203321524173719436821358109523
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6227253232203195
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30131320119395
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3214121221110100
Derniers 10 matchs
WLOTWOTL SOWSOL
430102
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2406828.33%2658169.43%14
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
468571682344870797
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
595126047.22%684148046.22%43689548.72%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
113950612756531340667


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
854Bears0Penguins2WSommaire du match
1076Penguins4Admirals2WSommaire du match
1180Penguins2Rams3LSommaire du match
1291Titans6Penguins3LSommaire du match
15112Penguins3Wolf Pack5LSommaire du match
17125Penguins5Blossom Bytes4WXSommaire du match
18131Gulls2Penguins1LSommaire du match
21157Bears4Penguins1LSommaire du match
24178Titans4Penguins3LSommaire du match
26184Penguins4Blossom Bytes5LSommaire du match
28199Penguins5Gulls1WSommaire du match
30216Bears5Penguins3LSommaire du match
32225Penguins1Admirals5LSommaire du match
34237Penguins4Senators6LSommaire du match
35249Penguins3Norsemen5LSommaire du match
36256Americans2Penguins3WSommaire du match
40279Penguins2Moose1WSommaire du match
41287Phantoms3Penguins1LSommaire du match
46319Bulldogs2Penguins3WSommaire du match
48334Penguins2Whalers3LSommaire du match
50350Phantoms4Penguins2LSommaire du match
52364Penguins3Americans1WSommaire du match
54382Blood Miners1Penguins3WSommaire du match
56401Penguins3Bears1WSommaire du match
58412Penguins2Moose3LXSommaire du match
59417Admirals3Penguins4WSommaire du match
62445Blossom Bytes5Penguins3LSommaire du match
64456Penguins5Griffins2WSommaire du match
66471Penguins7Norsemen6WXXSommaire du match
68479Whalers4Penguins2LSommaire du match
70496Penguins5Redhawks1WSommaire du match
73512Americans0Penguins2WSommaire du match
77540Crunch4Penguins2LSommaire du match
79556Penguins4Wolves1WSommaire du match
81571Bills2Penguins5WSommaire du match
83580Penguins3Roadrunners5LSommaire du match
85597Penguins4Wolf Pack2WSommaire du match
86606Eagles2Penguins3WXSommaire du match
90629Penguins4Reign3WXXSommaire du match
91639Octopus7Penguins8WSommaire du match
93662Grisards2Penguins3WXXSommaire du match
96682Penguins6Whalers1WSommaire du match
98697Penguins4Grisards6LSommaire du match
99701Rams1Penguins2WXSommaire du match
103728Rams4Penguins7WSommaire du match
105746Penguins1Admirals7LSommaire du match
107757Penguins4Titans2WSommaire du match
108766Blossom Bytes5Penguins6WSommaire du match
111789Penguins5Wolf Pack2WSommaire du match
113798Silver Knights5Penguins4LXXSommaire du match
115818Penguins3Phantoms1WSommaire du match
117829Bears1Penguins4WSommaire du match
121856Titans4Penguins6WSommaire du match
124885Saints5Penguins3LSommaire du match
126896Penguins2Bears3LXSommaire du match
128916Penguins3Grisards6LSommaire du match
129924Moose0Penguins2WSommaire du match
132943Penguins2Blossom Bytes3LXXSommaire du match
134955Admirals3Penguins1LSommaire du match
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
Assistance65,602141,369
Assistance PCT87.47%85.68%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 6899 - 86.24% 176,664$5,299,926$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,461,055$ 2,758,406$ 2,758,406$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,864$ 2,461,055$ 30 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,943,306$ 52 17,864$ 928,928$




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