Connexion

Pittsburgh Penguins
GP: 52 | W: 25 | L: 19 | OTL: 8 | P: 58
GF: 155 | GA: 146 | PP%: 12.50% | PK%: 84.00%
DG: Martin Coulombe | Morale : 99 | Moyenne d’équipe : 72
Prochains matchs #742 vs Boston Bruins
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Centre de jeu
Pittsburgh Penguins
25-19-8, 58pts
2
FINAL
3 Minnesota Wild
23-26-4, 50pts
Team Stats
W1SéquenceL1
13-8-5Fiche domicile15-9-2
12-11-3Fiche visiteur8-17-2
6-3-1Derniers 10 matchs3-6-1
2.98Buts par match 2.79
2.81Buts contre par match 3.15
12.50%Pourcentage en avantage numérique10.92%
84.00%Pourcentage en désavantage numérique84.03%
Pittsburgh Penguins
25-19-8, 58pts
2
FINAL
1 Vancouver Canucks
26-18-8, 60pts
Team Stats
W1SéquenceOTL1
13-8-5Fiche domicile12-6-7
12-11-3Fiche visiteur14-12-1
6-3-1Derniers 10 matchs4-3-3
2.98Buts par match 2.83
2.81Buts contre par match 2.85
12.50%Pourcentage en avantage numérique14.89%
84.00%Pourcentage en désavantage numérique89.69%
Boston Bruins
25-20-8, 58pts
Jour 128
Pittsburgh Penguins
25-19-8, 58pts
Statistiques d’équipe
L1SéquenceW1
16-8-3Fiche domicile13-8-5
9-12-5Fiche visiteur12-11-3
4-4-210 derniers matchs6-3-1
3.32Buts par match 2.98
3.06Buts contre par match 2.98
10.88%Pourcentage en avantage numérique12.50%
85.84%Pourcentage en désavantage numérique84.00%
Pittsburgh Penguins
25-19-8, 58pts
Jour 129
Tampa Bay Lightning
36-15-2, 74pts
Statistiques d’équipe
W1SéquenceW3
13-8-5Fiche domicile15-10-1
12-11-3Fiche visiteur21-5-1
6-3-110 derniers matchs9-0-1
2.98Buts par match 3.23
2.81Buts contre par match 3.23
12.50%Pourcentage en avantage numérique16.53%
84.00%Pourcentage en désavantage numérique89.55%
Pittsburgh Penguins
25-19-8, 58pts
Jour 134
Washington Capitals
29-14-9, 67pts
Statistiques d’équipe
W1SéquenceW6
13-8-5Fiche domicile14-8-4
12-11-3Fiche visiteur15-6-5
6-3-110 derniers matchs7-3-0
2.98Buts par match 3.40
2.81Buts contre par match 3.40
12.50%Pourcentage en avantage numérique17.46%
84.00%Pourcentage en désavantage numérique84.40%
Meneurs d'équipe
Buts
Jan Drozg
18
Passes
Michael Del Zotto
30
Points
Zach Stepan
40
Plus/Moins
Phillip Danault
13
Victoires
Mark Visentin
20
Pourcentage d’arrêts
Charlie Lindgren
0.934

Statistiques d’équipe
Buts pour
155
2.98 GFG
Tirs pour
2056
39.54 Avg
Pourcentage en avantage numérique
12.5%
16 GF
Début de zone offensive
41.1%
Buts contre
146
2.81 GAA
Tirs contre
1965
37.79 Avg
Pourcentage en désavantage numérique
84.0%%
24 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralMartin Coulombe
EntraîneurKen Hitchcock
DivisionEastern
ConférenceCircuit Jodoin
Capitaine
Assistant #1Phillip Danault
Assistant #2Jori Lehtera


Informations de l’aréna

NomConsol Energy Arena
Capacité20,000
Assistance18,971
Billets de saison8,000


Informations de la formation

Équipe Pro22
Équipe Mineure28
Limite contact 50 / 75
Espoirs3


Plafond salarial Non Activé

Cap Salarial de la Saison estimé61,850,010$
Plafond salarial disponible23,149,990$
Valeur du plafond salarial spécial2,500,000$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour26,061,326$
Dépenses annuelles à ce jour40,926,031$
Revenus de la saison estimés15,035,380$
Dépenses de la saison estimées20,328,448$
Compte bancaire actuel70,633,134$
Compte bancaire projeté66,528,760$


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
1Jori Lehtera (A)XX100.0080487285768383948692856568979722997803444,500,000$
2Mark StoneX100.0049119788768282905282836171909829997503013,750,000$
3Zach StepanX100.0086437288718182898685817271617045997502923,700,000$
4Michael Dal ColleXX100.0079397585768282788876786971647162997202712,000,000$
5Aleksi HeponiemiX100.0079367386697780898681797271484962997202422,600,000$
6Jan DrozgXX100.0077367687747880865479816773555953997202422,200,000$
7Andre BurakovskyXXX100.0053139785778582838774756973638058997102831,100,000$
8Timo MeierXXX100.0084467278828182768671747271807674997102621,900,000$
9Evander KaneX100.00793677877085847161637371808490399971N03233,550,000$
10Phillip Danault (A)XX100.0081457686728383738871677163868557997103011,000,000$
11Brett ConnollyXX100.00521391887583836555646986687678469970N03182,800,000$
12Mathieu JosephXX100.0080397483727980735470737271707459996902651,500,000$
13Michael Del ZottoX100.0049159685768685996293917474809142997803365,200,000$
14Ryan MerkleyX100.0077347677718182895783797171567473997302332,000,000$
15Callan FooteX100.0086477570828282755777717467627175997202441,700,000$
16Jared CowenX100.004899987848383475646538464899938997003273,800,000$
17Nathan McIverX100.009999318479686842564050786099992299700381500,001$
18Pierre-Olivier JosephX100.0083397080718181665768647567566174997002421,500,000$
19Ian WhiteX100.002913988373878167766664796999999996903912,950,000$
20Cam DineenX100.0075407480778383775474707068475254996902524,000,009$
Rayé
Équipe Mineure
1Quinton Byfield (R)X99.008143747082697285797577757355669199700211925,000$
2Linus OmarkX100.0035198896880777655697753679999799680372500,001$
3Linus Lindstrom (R)X100.008145698773797974876969666567625699680252800,000$
4Arthur Kaliyev (R)XX100.007639757678767875546575707344506899670222950,000$
5Raphael Lavoie (R)XX100.007437756777727279777171667051637199660222650,000$
6Veeti Miettinen (R)X100.0078356982686872775467756771585658996602151,250,000$
7Kent Johnson (R)X100.007034737871697473777169726630338399650201650,000$
8German RubtsovX100.007643636874666862776060746074757099640253800,000$
9Benjamin King (R)XX100.007338726976656575737071647149636499640213650,000$
10Ryan KeslerX100.0074548484758079478744467466999912996303911,499,999$
11Lawson Crouse (R)X100.009049737780808150534957756861676399630271800,000$
12Tristen Robins (R)X100.006832766772676775596970677045527399630212650,000$
13Nolan Foote (R)X100.007339716880656862505561716351597699620223700,000$
14Bowen Byram (R)X100.007839737274727774537474747160738399690221925,000$
15Jesse BlackerX100.003779987758582585057627762839423996803221,499,999$
16Jordan Spence (R)X100.006934786972777778547467656756786499670223650,000$
17Gianni Fairbrother (R)X100.007037756773717468507062726056655999660231500,000$
18Evan Nause (R)X100.007234746972707068587166696675862699660203650,000$
19Kasper Kotkansalo (R)X100.007638777078808048544444765052576199650242700,000$
20Philip Samuelsson X100.00461099867883824556413668508393339964N0321550,000$
21Roman PolakX100.0027798877674703556323678509999329963N03731,499,999$
22Brandon Coe (R)X100.007036746974656570547069626949586499630213500,000$
23Aaron NessX97.56582384777278796055575268509198369966N0331550,000$
24Ian McCoshen X100.006431868779818351564551706063635099660283700,000$
25Ben Meehan (R)X100.007134727071707065546769656847506199630222500,000$
MOYENNE D’ÉQUIPE100.00713579847582817668737373707379509972
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
1Mark Visentin100.0083858281929999979774758381619974N03135,700,000$
2Charlie Lindgren100.008187828090909090908081809943997202921,400,000$
Rayé
Équipe Mineure
1Ethan Haider (R)100.008185838690929292928081374564996802221,100,000$
2Jakub Dobes (R)100.00777776847878787878777849646499630223500,000$
3Dylan Garand (R)100.00828582778585858585828551657399660212925,000$
MOYENNE D’ÉQUIPE100.0082868281919595949477788290529973
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock83879894999940CAN7151,000,000$


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
1Zach StepanPittsburgh PenguinsC52142640-32007158203611326.90%2082915.9513410830001103152.09%9583817000.9600000422
2Mark StonePittsburgh PenguinsRW501521366004937223661156.73%2394318.88066221100001362237.60%1254220000.7611000123
3Jori LehteraPittsburgh PenguinsC/LW52171835-3375714418165989.39%1890717.44426291180001432246.85%1115015000.7700001123
4Aleksi HeponiemiPittsburgh PenguinsC5214213562207652187791087.49%2380715.542131187000000048.73%4723013000.8701000201
5Jan DrozgPittsburgh PenguinsLW/RW52181735-318065361494610712.08%1883516.07371017112000003031.15%612813000.8414000104
6Michael Del ZottoPittsburgh PenguinsD524303482083812354583.25%4985716.491451712400007000%03227100.7904000010
7Andre BurakovskyPittsburgh PenguinsC/LW/RW521610268001837147489210.88%2075714.5601111691011313139.02%822112000.6901000232
8Michael Dal CollePittsburgh PenguinsC/LW52101626-3180684412037778.33%1977214.860223761124293347.33%300288000.6700000004
9Phillip Danault Pittsburgh PenguinsC/LW5210142413160536215348786.54%1774414.330000010161351251.74%8352913100.6400000121
10Brett ConnollyPittsburgh PenguinsLW/RW5261117122032459133396.59%2772814.010000202251431044.12%341514200.4700000101
11Timo MeierPittsburgh PenguinsC/LW/RW52971610235684786306310.47%1978515.100000210117543054.55%771319000.4100001201
12Mathieu JosephPittsburgh PenguinsLW/RW51661238047316122459.84%104839.48000140002422035.00%40814100.5000000000
13Cam DineenPittsburgh PenguinsD5111011-1018046483514162.86%4283216.320116102000043000%0921000.2600000000
14Callan FootePittsburgh PenguinsD5219101223547384018322.50%4983516.07112487011342000%0726000.2400001001
15Evander KanePittsburgh PenguinsLW5255101012028318223456.10%2053310.26000013000000156.00%251210000.3725000011
16Jared CowenPittsburgh PenguinsD523583009503424208.82%5085616.48000011015152000%0138000.1900000000
17Ian WhitePittsburgh PenguinsD521780003392812133.57%5969813.43000000000109000%0223000.2300000010
18Ryan MerkleyPittsburgh PenguinsD521671218043416627241.52%4083516.06011510700000100%01119000.1700000010
19Nathan McIverPittsburgh PenguinsD500448782072323715180%4467713.55000000002119000%0119000.1200112000
20Pierre-Olivier JosephPittsburgh PenguinsD52134-21803443241374.17%4354710.5300000000059000%0216000.1500000001
21Roman PolakWilkes-Barre/Scranton Penguins (PIT)D2000000011000%02311.710000000003000%00100000000000
Statistiques d’équipe totales ou en moyenne10361522463988733335908854207173511877.34%6101529414.761229411361125459381066241249.29%3120379358500.52416115151525
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
1Mark VisentinPittsburgh Penguins40201370.9302.622428001061513590220.62516409682
2Charlie LindgrenPittsburgh Penguins105410.9342.50601002537915900001040131
Statistiques d’équipe totales ou en moyenne50251780.9312.593030001311892749221650497113


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Aleksi HeponiemiPittsburgh PenguinsC241990-09-19 10:51:27No166 Lbs6 ft1NoNoN/ANoNo2Pro Only2,600,000$875,789$2,600,000$875,789$No2,600,000$--------No--------
Andre BurakovskyPittsburgh PenguinsC/LW/RW281986-10-05 14:16:54No204 Lbs6 ft2NoNoN/ANoNo3Pro Only1,100,000$370,526$1,100,000$370,526$No1,100,000$1,100,000$-------NoNo-------
Brett ConnollyPittsburgh PenguinsLW/RW311983-08-06 08:38:02No198 Lbs6 ft2YesNoN/ANoNo8Pro Only2,800,000$943,158$2,800,000$943,158$No2,800,000$2,800,000$2,800,000$2,800,000$2,800,000$2,800,000$2,800,000$--YesYesYesYesYesYesYes--
Callan FootePittsburgh PenguinsD241990-10-04 05:16:41No229 Lbs6 ft5NoNoN/ANoNo4Pro Only1,700,000$572,632$1,700,000$572,632$No1,700,000$1,700,000$1,700,000$------NoNoNo------
Cam DineenPittsburgh PenguinsD251989-10-11 15:49:23No204 Lbs6 ft4NoNoN/ANoNo2Pro Only4,000,009$1,347,371$4,000,009$1,347,371$No4,000,009$--------No--------
Charlie LindgrenPittsburgh PenguinsG291985-09-04 18:54:27No193 Lbs6 ft1NoNoN/ANoNo2Pro Only1,400,000$471,579$1,400,000$471,579$No1,400,000$--------No--------
Evander KanePittsburgh PenguinsLW321982-08-07 02:38:02No177 Lbs6 ft0YesNoN/ANoNo3Pro Only3,550,000$1,195,789$3,550,000$1,195,789$No3,550,000$3,550,000$-------YesYes-------
Ian WhitePittsburgh PenguinsD391975-08-06 08:38:02No191 Lbs5 ft10NoNoN/ANoNo1Pro Only2,950,000$993,684$2,950,000$993,684$No------------------
Jan DrozgPittsburgh PenguinsLW/RW241990-09-19 10:56:30No190 Lbs6 ft2NoNoN/ANoNo2Pro Only2,200,000$741,053$2,200,000$741,053$No2,200,000$--------No--------
Jared CowenPittsburgh PenguinsD321982-08-07 02:38:02No231 Lbs6 ft6NoNoN/ANoNo7Pro Only3,800,000$1,280,000$3,800,000$1,280,000$No3,800,000$3,800,000$3,800,000$3,800,000$3,800,000$3,800,000$---NoNoNoNoNoNo---
Jori LehteraPittsburgh PenguinsC/LW341980-12-23 09:33:40No201 Lbs6 ft2NoNoN/ANoNo4Pro Only4,500,000$1,515,789$4,500,000$1,515,789$No4,500,000$4,500,000$4,500,000$------NoNoNo------
Mark StonePittsburgh PenguinsRW301985-05-13 13:38:23No207 Lbs6 ft2NoNoTrade2024-03-03NoNo1Pro Only3,750,000$1,263,158$3,750,000$1,263,158$No------------------
Mark VisentinPittsburgh PenguinsG311983-10-14 10:13:26No198 Lbs6 ft2YesNoN/ANoNo3Pro Only5,700,000$1,920,000$5,700,000$1,920,000$No5,700,000$5,700,000$-------YesYes-------
Mathieu JosephPittsburgh PenguinsLW/RW261988-09-27 13:10:08No189 Lbs6 ft1NoNoTrade2024-01-01NoNo5Pro Only1,500,000$505,263$1,500,000$505,263$No1,500,000$1,500,000$1,500,000$1,500,000$-----NoNoNoNo-----
Michael Dal CollePittsburgh PenguinsC/LW271987-10-05 15:26:55No201 Lbs6 ft3NoNoN/ANoNo1Pro Only2,000,000$673,684$2,000,000$673,684$No------------------
Michael Del ZottoPittsburgh PenguinsD331981-08-06 20:38:02No215 Lbs5 ft11NoNoN/ANoNo6Pro Only5,200,000$1,751,579$5,200,000$1,751,579$No5,200,000$5,200,000$5,200,000$5,200,000$5,200,000$----NoNoNoNoNo----
Nathan McIverPittsburgh PenguinsD381976-08-06 14:38:02No215 Lbs6 ft2NoNoN/ANoNo1Pro & Farm500,001$168,421$500,001$168,421$No------------------
Phillip Danault Pittsburgh PenguinsC/LW301984-10-14 12:29:40No189 Lbs6 ft0NoNoN/ANoNo1Pro Only1,000,000$336,842$1,000,000$336,842$No------------------
Pierre-Olivier JosephPittsburgh PenguinsD241990-09-19 11:02:53No171 Lbs6 ft4NoNoN/ANoNo2Pro Only1,500,000$505,263$1,500,000$505,263$No1,500,000$--------No--------
Ryan MerkleyPittsburgh PenguinsD231991-09-07 20:50:22No179 Lbs6 ft1NoNoN/ANoNo3Pro Only2,000,000$673,684$2,000,000$673,684$No2,000,000$2,000,000$-------NoNo-------
Timo MeierPittsburgh PenguinsC/LW/RW261988-09-27 13:55:51No236 Lbs6 ft2NoNoN/ANoNo2Pro Only1,900,000$640,000$1,900,000$640,000$No1,900,000$--------No--------
Zach StepanPittsburgh PenguinsC291985-10-14 13:11:43No187 Lbs5 ft11NoNoN/ANoNo2Pro Only3,700,000$1,246,316$3,700,000$1,246,316$No3,700,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.05199 Lbs6 ft22.952,697,728$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
59,350,010$49,150,009$31,850,000$19,500,000$13,300,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleJori LehteraMark Stone25113
2Aleksi HeponiemiZach StepanJan Drozg25113
3Timo MeierPhillip Danault Brett Connolly25113
4Evander KaneAndre BurakovskyMathieu Joseph25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Del ZottoCam Dineen25113
2Ryan MerkleyCallan Foote25122
3Jared CowenPierre-Olivier Joseph25122
4Nathan McIverIan White25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jori LehteraMichael Dal ColleMark Stone60113
2Aleksi HeponiemiZach StepanJan Drozg40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Del ZottoCam Dineen60113
2Ryan MerkleyCallan Foote40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Phillip Danault Brett Connolly60122
2Timo MeierMathieu Joseph40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jared CowenNathan McIver60131
2Callan FooteIan White40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Phillip Danault 60122Jared CowenNathan McIver60122
2Timo Meier40122Callan FooteIan White40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zach StepanMichael Dal Colle60122
2Phillip Danault Evander Kane40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Del ZottoCam Dineen60122
2Jared CowenPierre-Olivier Joseph40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jori LehteraZach StepanJan DrozgRyan MerkleyCallan Foote
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mathieu JosephPhillip Danault Brett ConnollyJared CowenIan White
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jori Lehtera, Zach Stepan, Timo MeierMichael Dal Colle, Mark StoneBrett Connolly
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Merkley, Callan Foote, Cam DineenMichael Del ZottoJared Cowen, Ian White
Tirs de pénalité
Evander Kane, Michael Del Zotto, Jan Drozg, Andre Burakovsky, Mark Stone
Gardien
#1 : Mark Visentin, #2 : Charlie Lindgren
Lignes d’attaque personnalisées en prolongation
Zach Stepan, Jori Lehtera, Michael Dal Colle, Mark Stone, Brett Connolly, Aleksi Heponiemi, Aleksi Heponiemi, Jan Drozg, Timo Meier, Phillip Danault , Evander Kane
Lignes de défense personnalisées en prolongation
Michael Del Zotto, Ryan Merkley, Callan Foote, Ian White, Jared Cowen


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
1Anaheim Ducks2000010168-21000000145-11000010023-120.50061016000420913135226861830353133.33%6266.67%0784158549.46%784151551.75%38275650.53%493243163417
2Boston Bruins11000000532000000000001100000053221.000581300131040111415038122175120.00%10100.00%0784158549.46%784151551.75%38275650.53%2213228157
3Buffalo Sabres2020000036-31010000023-11010000013-200.00035800021065262514080271646300.00%8187.50%1784158549.46%784151551.75%38275650.53%412545183214
4Calgary Flames2010000159-41010000025-31000000134-110.250571200122073252028376242529200.00%10370.00%0784158549.46%784151551.75%38275650.53%422548183416
5Carolina Hurricanes22000000844110000005231100000032141.00081422006020874225200651530433133.33%5180.00%0784158549.46%784151551.75%38275650.53%472939163316
6Chicago Blackhawks2010010058-31000010023-11010000035-210.2505914002300742633141763110233133.33%5260.00%0784158549.46%784151551.75%38275650.53%422746173316
7Colorado Avalanche22000000853110000003211100000053241.00081220003140833323270752063610110.00%3166.67%1784158549.46%784151551.75%38275650.53%452742153217
8Dallas Stars2110000047-3110000003121010000016-520.500481200022084252831067271248300.00%6183.33%0784158549.46%784151551.75%38275650.53%513136153216
9Detroit Red Wings2010001035-2100000103211010000003-320.50033600002168272215776201843300.00%9277.78%0784158549.46%784151551.75%38275650.53%462843173517
10Edmonton Oilers21100000550110000004131010000014-320.500581300221090203733075238326116.67%40100.00%1784158549.46%784151551.75%38275650.53%422545163215
11Florida Panthers21001000633100010003211100000031241.000671300014171252025181231238800.00%6183.33%0784158549.46%784151551.75%38275650.53%452842163116
12Los Angeles Kings2110000056-11010000025-31100000031220.500581300122069261330080262237500.00%11281.82%0784158549.46%784151551.75%38275650.53%362050183215
13Minnesota Wild2010010035-21000010012-11010000023-110.2503580003007520223037936635400.00%30100.00%0784158549.46%784151551.75%38275650.53%422546183416
14Montreal Canadiens21100000651110000004131010000024-220.500691510024076232924068231935500.00%7185.71%0784158549.46%784151551.75%38275650.53%422444183316
15New Jersey Devils2020000024-21010000012-11010000012-100.0002350001108432252708542644700.00%30100.00%0784158549.46%784151551.75%38275650.53%442641163417
16New York Islanders210000016511000000123-11100000042230.750681400123183183330561196334125.00%30100.00%0784158549.46%784151551.75%38275650.53%452843173518
17New York Rangers211000008711010000034-11100000053220.5008132100233081213624072236309111.11%30100.00%0784158549.46%784151551.75%38275650.53%442742163317
18Ottawa Senators21100000440110000004311010000001-120.500481200112075352614076231438400.00%70100.00%0784158549.46%784151551.75%38275650.53%432543183316
19Philadelphia Flyers220000001046110000007251100000032141.000101626002440812725290822115327114.29%5180.00%0784158549.46%784151551.75%38275650.53%442843163216
20San Jose Sharks2020000058-31010000024-21010000034-100.000571200212080213227080231225100.00%6183.33%0784158549.46%784151551.75%38275650.53%412545153315
21St-Louis Blues2010010058-31010000046-21000010012-110.2505914003200822923300682614344125.00%70100.00%0784158549.46%784151551.75%38275650.53%463040193515
22Tampa Bay Lightning11000000514110000005140000000000021.0005712002210371112140356919200.00%20100.00%0784158549.46%784151551.75%38275650.53%2112208189
23Toronto Maple Leafs210000016511000000123-11100000042230.7506101600231180292229471241031700.00%50100.00%0784158549.46%784151551.75%38275650.53%452544183518
24Vancouver Canucks21001000734110000005231000100021141.00071118004201893228245772414373133.33%7271.43%0784158549.46%784151551.75%38275650.53%462845173115
25Vegas Golden Knights220000001156110000005231100000063341.000112031002630882344210842010328450.00%50100.00%0784158549.46%784151551.75%38275650.53%432845163014
26Washington Capitals211000008621010000045-11100000041320.50081321001520843025290863012406116.67%6266.67%1784158549.46%784151551.75%38275650.53%432745163115
27Winnipeg Jets2110000067-1110000003211010000035-220.500691510204066371316066211428300.00%7185.71%0784158549.46%784151551.75%38275650.53%452842163215
Total5222190241415514692611801213857312261111012017073-3580.55815524740220405953520567056906423519656273589201281612.50%1502484.00%4784158549.46%784151551.75%38275650.53%11537101140448865425
_Since Last GM Reset5222190241415514692611801213857312261111012017073-3580.55815524740220405953520567056906423519656273589201281612.50%1502484.00%4784158549.46%784151551.75%38275650.53%11537101140448865425
_Vs Conference5222190241415514692611801213857312261111012017073-3580.55815524740220405953520567056906423519656273589201281612.50%1502484.00%4784158549.46%784151551.75%38275650.53%11537101140448865425
_Vs Division261390101280621813540101245331213850000035296320.615801242041018293141012357339309179763081754897368.22%70987.14%2784158549.46%784151551.75%38275650.53%578352561225435217

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5258W11552474022056196562735892020
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5222192414155146
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2611812138573
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
26111112017073
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1281612.50%1502484.00%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
705690642354059535
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
784158549.46%784151551.75%38275650.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11537101140448865425


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
113Pittsburgh Penguins3Los Angeles Kings1AWSommaire du match
427Pittsburgh Penguins5Colorado Avalanche3AWSommaire du match
640New Jersey Devils2Pittsburgh Penguins1BLSommaire du match
850Anaheim Ducks5Pittsburgh Penguins4BLXXSommaire du match
1066Pittsburgh Penguins4Toronto Maple Leafs2AWSommaire du match
1384Carolina Hurricanes2Pittsburgh Penguins5BWSommaire du match
17107Pittsburgh Penguins3Philadelphia Flyers2AWSommaire du match
18114San Jose Sharks4Pittsburgh Penguins2BLSommaire du match
21128Pittsburgh Penguins0Ottawa Senators1ALSommaire du match
24144Pittsburgh Penguins1St-Louis Blues2ALXSommaire du match
27163Pittsburgh Penguins4Washington Capitals1AWSommaire du match
30182New York Rangers4Pittsburgh Penguins3BLSommaire du match
33196Pittsburgh Penguins2Montreal Canadiens4ALSommaire du match
34200Calgary Flames5Pittsburgh Penguins2BLSommaire du match
36217Minnesota Wild2Pittsburgh Penguins1BLXSommaire du match
39235Vancouver Canucks2Pittsburgh Penguins5BWSommaire du match
40238Dallas Stars1Pittsburgh Penguins3BWSommaire du match
42252Winnipeg Jets2Pittsburgh Penguins3BWSommaire du match
44258Buffalo Sabres3Pittsburgh Penguins2BLSommaire du match
46275Pittsburgh Penguins6Vegas Golden Knights3AWSommaire du match
50293Pittsburgh Penguins3Chicago Blackhawks5ALSommaire du match
51300Pittsburgh Penguins2Anaheim Ducks3ALXSommaire du match
53317Washington Capitals5Pittsburgh Penguins4BLSommaire du match
56327Edmonton Oilers1Pittsburgh Penguins4BWSommaire du match
58343St-Louis Blues6Pittsburgh Penguins4BLSommaire du match
60351Pittsburgh Penguins0Detroit Red Wings3ALSommaire du match
63374Pittsburgh Penguins3Florida Panthers1AWSommaire du match
64381Tampa Bay Lightning1Pittsburgh Penguins5BWSommaire du match
67394Pittsburgh Penguins5Boston Bruins3AWSommaire du match
70412Pittsburgh Penguins5New York Rangers3AWSommaire du match
71419Chicago Blackhawks3Pittsburgh Penguins2BLXSommaire du match
73427Pittsburgh Penguins3Calgary Flames4ALXXSommaire du match
75442Pittsburgh Penguins4New York Islanders2AWSommaire du match
77450Los Angeles Kings5Pittsburgh Penguins2BLSommaire du match
79467Pittsburgh Penguins3Winnipeg Jets5ALSommaire du match
81478Philadelphia Flyers2Pittsburgh Penguins7BWSommaire du match
84496Vegas Golden Knights2Pittsburgh Penguins5BWSommaire du match
87509Pittsburgh Penguins3Carolina Hurricanes2AWSommaire du match
91533Pittsburgh Penguins1New Jersey Devils2ALSommaire du match
97566Pittsburgh Penguins1Buffalo Sabres3ALSommaire du match
98573Pittsburgh Penguins1Dallas Stars6ALSommaire du match
101590New York Islanders3Pittsburgh Penguins2BLXXSommaire du match
102597Pittsburgh Penguins3San Jose Sharks4ALSommaire du match
106622Toronto Maple Leafs3Pittsburgh Penguins2BLXXSommaire du match
108631Florida Panthers2Pittsburgh Penguins3BWXSommaire du match
112653Colorado Avalanche2Pittsburgh Penguins3BWSommaire du match
113660Ottawa Senators3Pittsburgh Penguins4BWSommaire du match
116676Detroit Red Wings2Pittsburgh Penguins3BWXXSommaire du match
118688Montreal Canadiens1Pittsburgh Penguins4BWSommaire du match
120699Pittsburgh Penguins1Edmonton Oilers4ALSommaire du match
123717Pittsburgh Penguins2Minnesota Wild3ALSommaire du match
125728Pittsburgh Penguins2Vancouver Canucks1AWXSommaire du match
128742Boston Bruins-Pittsburgh Penguins-
129749Pittsburgh Penguins-Tampa Bay Lightning-
134781Pittsburgh Penguins-Washington Capitals-
136797St-Louis Blues-Pittsburgh Penguins-
137800Pittsburgh Penguins-Calgary Flames-
139813Pittsburgh Penguins-Florida Panthers-
141823Pittsburgh Penguins-Anaheim Ducks-
142833Pittsburgh Penguins-Montreal Canadiens-
144843Chicago Blackhawks-Pittsburgh Penguins-
147863Ottawa Senators-Pittsburgh Penguins-
149877Pittsburgh Penguins-New Jersey Devils-
152893Detroit Red Wings-Pittsburgh Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154902San Jose Sharks-Pittsburgh Penguins-
156920Pittsburgh Penguins-Carolina Hurricanes-
158935Vancouver Canucks-Pittsburgh Penguins-
161950Boston Bruins-Pittsburgh Penguins-
163966Los Angeles Kings-Pittsburgh Penguins-
165973Winnipeg Jets-Pittsburgh Penguins-
167992Pittsburgh Penguins-Minnesota Wild-
1691003Buffalo Sabres-Pittsburgh Penguins-
1721026Pittsburgh Penguins-Vegas Golden Knights-
1741040New York Rangers-Pittsburgh Penguins-
1771058Pittsburgh Penguins-Edmonton Oilers-
1781067Toronto Maple Leafs-Pittsburgh Penguins-
1801079Pittsburgh Penguins-Philadelphia Flyers-
1821094Pittsburgh Penguins-Tampa Bay Lightning-
1841104Pittsburgh Penguins-New York Islanders-
1861115Pittsburgh Penguins-Colorado Avalanche-
1871122Dallas Stars-Pittsburgh Penguins-
1901146Philadelphia Flyers-Pittsburgh Penguins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité50005000500040001000
Prix des billets65301310145
Assistance118,996124,411124,933101,57623,337
Attendance PCT91.54%95.70%96.10%97.67%89.76%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 18971 - 94.86% 1,002,359$26,061,326$2000090

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
40,926,031$ 59,350,010$ 58,150,010$ 0$ 2,500,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
59,350,010$ 40,262,889$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
15,035,380$ 64 317,632$ 20,328,448$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
21,933,504$ 70,633,134$ 66,528,760$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
61,850,010$ 23,149,990$ 85,000,000$ 6,850,010$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jori LehteraAGE:34PO:22OV:78
Michael Dal ColleAGE:27PO:62OV:72
Jan DrozgAGE:24PO:53OV:72
Timo MeierAGE:26PO:74OV:71
Andre BurakovskyAGE:28PO:58OV:71
Phillip Danault AGE:30PO:57OV:71
Evander KaneAGE:32PO:39OV:71
Brett ConnollyAGE:31PO:46OV:70
Mathieu JosephAGE:26PO:59OV:69
Linus OmarkAGE:37PO:7OV:68
Arthur Kaliyev (R)AGE:22PO:68OV:67
Lawson Crouse (R)AGE:27PO:63OV:63
Nolan Foote (R)AGE:22PO:76OV:62
Jori LehteraAGE:34PO:22OV:78
Zach StepanAGE:29PO:45OV:75
Michael Dal ColleAGE:27PO:62OV:72
Aleksi HeponiemiAGE:24PO:62OV:72
Timo MeierAGE:26PO:74OV:71
Andre BurakovskyAGE:28PO:58OV:71
Phillip Danault AGE:30PO:57OV:71
Quinton Byfield (R)AGE:21PO:91OV:70
Linus Lindstrom (R)AGE:25PO:56OV:68
Raphael Lavoie (R)AGE:22PO:71OV:66
Kent Johnson (R)AGE:20PO:83OV:65
German RubtsovAGE:25PO:70OV:64
Benjamin King (R)AGE:21PO:64OV:64
Ryan KeslerAGE:39PO:12OV:63
Mark StoneAGE:30PO:29OV:75
Jan DrozgAGE:24PO:53OV:72
Timo MeierAGE:26PO:74OV:71
Andre BurakovskyAGE:28PO:58OV:71
Brett ConnollyAGE:31PO:46OV:70
Mathieu JosephAGE:26PO:59OV:69
Arthur Kaliyev (R)AGE:22PO:68OV:67
Raphael Lavoie (R)AGE:22PO:71OV:66
Veeti Miettinen (R)AGE:21PO:58OV:66
Benjamin King (R)AGE:21PO:64OV:64
Tristen Robins (R)AGE:21PO:73OV:63
Brandon Coe (R)AGE:21PO:64OV:63

Défense #1Défense #2Gardien
Michael Del ZottoAGE:33PO:42OV:78
Ryan MerkleyAGE:23PO:73OV:73
Callan FooteAGE:24PO:75OV:72
Pierre-Olivier JosephAGE:24PO:74OV:70
Jared CowenAGE:32PO:38OV:70
Nathan McIverAGE:38PO:22OV:70
Bowen Byram (R)AGE:22PO:83OV:69
Cam DineenAGE:25PO:54OV:69
Ian WhiteAGE:39PO:9OV:69
Jesse BlackerAGE:32PO:23OV:68
Jordan Spence (R)AGE:22PO:64OV:67
Gianni Fairbrother (R)AGE:23PO:59OV:66
Ian McCoshen AGE:28PO:50OV:66
Aaron NessAGE:33PO:36OV:66
Evan Nause (R)AGE:20PO:26OV:66
Kasper Kotkansalo (R)AGE:24PO:61OV:65
Philip Samuelsson AGE:32PO:33OV:64
Ben Meehan (R)AGE:22PO:61OV:63
Roman PolakAGE:37PO:32OV:63
Mark VisentinAGE:31PO:61OV:74
Charlie LindgrenAGE:29PO:43OV:72
Ethan Haider (R)AGE:22PO:64OV:68
Dylan Garand (R)AGE:21PO:73OV:66
Jakub Dobes (R)AGE:22PO:64OV:63

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Filip WibergPittsburgh Penguins202091
Rudger McGroartyPittsburgh Penguins202222
Ryan ChesleyPittsburgh Penguins202228

Choix au repêchage

Année R1R2R3
2024PIT NYR PIT DET PIT
2025PIT PIT
2026PIT PIT PIT
2027PIT PIT PIT
2028PIT PIT PIT
Choix au repêchage conditionnel



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Pittsburgh Penguins Historique de transactions

[2024-03-03 00:34:33] - TRADE : From Pittsburgh Penguins to Detroit Red Wings : Ivan Barbashev (71), Alexander Pashin (64).
[2024-03-03 00:34:33] - TRADE : From Detroit Red Wings to Pittsburgh Penguins : Mark Stone (75).
[2024-02-17 00:38:25] - TRADE : From Toronto Maple Leafs to Pittsburgh Penguins : Linus Omark (68).
[2024-02-17 00:38:25] - TRADE : From Pittsburgh Penguins to Toronto Maple Leafs : Michael Wall (73).
[2024-01-28 19:33:40] - New Record for Team's Most Shots Blocked (27) in 1 Game for Pittsburgh Penguins!
[2024-01-20 20:36:21] - Philip Samuelsson signed with Pittsburgh Penguins for $550,000 for 1 year(s) / Option : No Trade.
[2024-01-20 20:36:21] - Philip Samuelsson was added to Pittsburgh Penguins.
[2024-01-20 20:35:54] - Aaron Ness signed with Pittsburgh Penguins for $550,000 for 1 year(s) / Option : No Trade.
[2024-01-20 20:35:54] - Aaron Ness was added to Pittsburgh Penguins.
[2024-01-01 13:25:28] - TRADE : From Pittsburgh Penguins to New York Rangers : Carter Ashton (71), Y:2024-RND:3-NYR.
[2024-01-01 13:25:28] - TRADE : From New York Rangers to Pittsburgh Penguins : Mathieu Joseph (69).
[2023-12-31 00:11:27] - TRADE : From Pittsburgh Penguins to Montreal Canadiens : Alexandre Carrier (70).
[2023-12-31 00:11:27] - TRADE : From Montreal Canadiens to Pittsburgh Penguins : Pierre-Olivier Joseph (70).
[2023-12-29 12:24:16] - TRADE : From Tampa Bay Lightning to Pittsburgh Penguins : Cam Dineen (69), Ryan Chesley (P).
[2023-12-29 12:24:16] - TRADE : From Pittsburgh Penguins to Tampa Bay Lightning : Brent Burns (78).
[2023-12-27 22:11:43] - TRADE : From Pittsburgh Penguins to Buffalo Sabres : Ryan Getzlaf (83), $3,000,000 (Salary Cap Year 1).
[2023-12-27 22:11:43] - TRADE : From Buffalo Sabres to Pittsburgh Penguins : Michael Dal Colle (72).
[2023-10-30 12:03:07] - TRADE : From Montreal Canadiens to Pittsburgh Penguins : 250 000 $ (Salary Cap).
[2023-10-30 12:03:07] - TRADE : From Pittsburgh Penguins to Montreal Canadiens : Anthony Mantha (71).
[2023-10-30 12:02:18] - TRADE : From San Jose Sharks to Pittsburgh Penguins : 250 000 $ (Salary Cap).
[2023-10-30 12:02:18] - TRADE : From Pittsburgh Penguins to San Jose Sharks : Dylan Gambrell (69).
[2023-10-04 15:57:16] - TRADE : From St-Louis Blues to Pittsburgh Penguins : 200 000 $ (Money).
[2023-10-04 15:57:16] - TRADE : From Pittsburgh Penguins to St-Louis Blues : David Shantz (65).
[2023-09-13 09:08:58] - TRADE : From Vancouver Canucks to Pittsburgh Penguins : Andre Burakovsky (71).
[2023-09-13 09:08:58] - TRADE : From Pittsburgh Penguins to Vancouver Canucks : Y:2025-RND:2-PIT.
[2023-09-09 11:59:45] - TRADE : From Pittsburgh Penguins to Detroit Red Wings : Alexander Gordin (61), Andrew Welinski (64), David Pope (70), K'andre Miller (67), Michal Repik (64), Valeri Nichushkin (56).
[2023-09-09 11:59:45] - TRADE : From Detroit Red Wings to Pittsburgh Penguins : Ian White (69), Y:2024-RND:3-DET.



[2024-03-03 17:25:23] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-03-03 00:34:33] TRADE : From Pittsburgh Penguins to Detroit Red Wings : Ivan Barbashev (71), Alexander Pashin (64).
[2024-03-03 00:34:33] TRADE : From Detroit Red Wings to Pittsburgh Penguins : Mark Stone (75).
[2024-03-03 00:26:13] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-03-01 23:28:45] Aaron Ness from Wilkes-Barre/Scranton Penguins is back from Lower Body Injury.
[2024-02-28 19:43:10] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-02-26 23:06:44] Bowen Byram from Wilkes-Barre/Scranton Penguins is back from Left Foot Injury.
[2024-02-26 23:06:44] Last 30 Days Farm Star : 1 - A.J. Jenks of Hershey Bears (12-12-24) / 2 - Jaedon Descheneau of San Diego Gulls (15-12-27) / 3 - Quinton Byfield of Wilkes-Barre/Scranton Penguins (13-4-17)
[2024-02-26 23:06:42] Game 699 - Bowen Byram from Wilkes-Barre/Scranton Penguins is injured (Left Foot) and is out for 2 days.
[2024-02-26 14:22:16] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-02-24 18:52:55] Farm Game #688 - Benjamin King from Wilkes-Barre/Scranton Penguins has scored a Hat Trick!
[2024-02-24 18:48:26] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-02-22 23:37:29] Quinton Byfield from Wilkes-Barre/Scranton Penguins is back from Strained Left Knee Injury.
[2024-02-22 23:37:27] Game 676 - Aaron Ness from Wilkes-Barre/Scranton Penguins is injured (Lower Body) and is out for 2 weeks.
[2024-02-22 23:37:27] Game 676 - Quinton Byfield from Wilkes-Barre/Scranton Penguins is injured (Strained Left Knee) and is out for 4 days.
[2024-02-22 23:36:21] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-02-19 23:13:56] Farm Game #660 - Arthur Kaliyev from Wilkes-Barre/Scranton Penguins has scored a Hat Trick!
[2024-02-19 23:08:34] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-02-19 23:08:34] Roman Polak of Pittsburgh Penguins was sent down to farm.
[2024-02-19 01:05:51] Last 7 Days Farm Star : 1 - Jaedon Descheneau of San Diego Gulls (6-1-7) / 2 - Quinton Byfield of Wilkes-Barre/Scranton Penguins (5-1-6) / 3 - Brendan Gaunce of Syracuse Crunch (3-2-5)
[2024-02-19 01:05:18] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-02-17 00:38:25] TRADE : From Toronto Maple Leafs to Pittsburgh Penguins : Linus Omark (68).
[2024-02-17 00:38:25] TRADE : From Pittsburgh Penguins to Toronto Maple Leafs : Michael Wall (73).
[2024-02-14 22:48:22] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-02-14 22:48:22] Roman Polak of Pittsburgh Penguins was sent to pro.
[2024-02-13 22:43:25] Nathan McIver from Pittsburgh Penguins is back from Sore Right Knee Injury.
[2024-02-13 22:41:20] Auto Lines Partial Function has been run for Pittsburgh Penguins.
[2024-02-13 22:41:20] Pittsburgh Penguins lines errors : Normal line # 4 Defense #4 is empty. PK line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. LastMinDef line Defense #3 is empty. Extra Defense #0 is empty. OT Defense #4 is empty.
[2024-02-12 23:02:23] Farm Game #622 - Quinton Byfield from Wilkes-Barre/Scranton Penguins has scored a Hat Trick!
[2024-02-12 23:02:23] Game 622 - Nathan McIver from Pittsburgh Penguins is injured (Sore Right Knee) and is out for 1 week.
[2024-02-12 23:01:42] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0
[2024-02-08 23:25:14] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.4.0.0



Pas de blessure ou de suspension.


Pittsburgh 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

Pittsburgh 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

Pittsburgh 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

Pittsburgh 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

Pittsburgh 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