Wilkes-Barre Penguins
Domicile
Formation
Statistiques joueurs
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Blessure/Suspension

Centre de jeu
	Pittsburgh Penguins 7-9-1, 15pts	5	FINAL	4	New Jersey Devils 9-7-1, 19pts

Team Stats
W2	Séquence	W2
2-4-1	Fiche domicile	4-3-1
5-5-0	Fiche visiteur	5-4-0
6-3-1	Derniers 10 matchs	6-3-1
2.88	Buts par match	3.29
3.76	Buts contre par match	3.24
12.50%	Pourcentage en avantage numérique	24.53%
75.41%	Pourcentage en désavantage numérique	75.00%

Los Angeles Kings
8-9-1, 17pts

FINAL

Pittsburgh Penguins
7-9-1, 15pts

Team Stats
L1	Séquence	W2
4-2-1	Fiche domicile	2-4-1
4-7-0	Fiche visiteur	5-5-0
5-4-1	Derniers 10 matchs	6-3-1
3.44	Buts par match	2.88
3.67	Buts contre par match	3.76
14.06%	Pourcentage en avantage numérique	12.50%
81.48%	Pourcentage en désavantage numérique	75.41%

Pittsburgh Penguins
7-9-1, 15pts

Jour 39

Nashville Predators
9-9-0, 18pts

Statistiques d’équipe
W2	Séquence	W3
2-4-1	Fiche domicile	7-4-0
5-5-0	Fiche visiteur	2-5-0
6-3-1	10 derniers matchs	5-5-0
2.88	Buts par match	4.22
3.76	Buts contre par match	4.22
12.50%	Pourcentage en avantage numérique	29.51%
75.41%	Pourcentage en désavantage numérique	73.75%

Nashville Predators
9-9-0, 18pts

Jour 41

Pittsburgh Penguins
7-9-1, 15pts

Statistiques d’équipe
W3	Séquence	W2
7-4-0	Fiche domicile	2-4-1
2-5-0	Fiche visiteur	5-5-0
5-5-0	10 derniers matchs	6-3-1
4.22	Buts par match	2.88
4.00	Buts contre par match	2.88
29.51%	Pourcentage en avantage numérique	12.50%
73.75%	Pourcentage en désavantage numérique	75.41%

Minnesota Wild
8-8-2, 18pts

Jour 46

Pittsburgh Penguins
7-9-1, 15pts

Statistiques d’équipe
L4	Séquence	W2
4-5-1	Fiche domicile	2-4-1
4-3-1	Fiche visiteur	5-5-0
3-6-1	10 derniers matchs	6-3-1
2.78	Buts par match	2.88
2.78	Buts contre par match	2.88
22.41%	Pourcentage en avantage numérique	12.50%
77.78%	Pourcentage en désavantage numérique	75.41%

Meneurs d'équipe
	Buts Mitch Marner 11	Passes Quinton Byfield 15

	Points Mitch Marner 19	Plus/Moins Mitch Marner 9

	Victoires Lukas Dostal 5	Pourcentage d’arrêts Leevi Merilainen 0.918

Statistiques d’équipe
Buts pour 49 2.88 GFG	Tirs pour 492 28.94 Avg	Pourcentage en avantage numérique 12.5% 7 GF	Début de zone offensive 37.4%
Buts contre 64 3.76 GAA	Tirs contre 599 35.24 Avg	Pourcentage en désavantage numérique 75.4%% 15 GA	Début de la zone défensive 44.1%

Informations de l'équipe
	Directeur général	Gabriel Samson
	Entraîneur	Aaron Schneekloth
	Division	Metro Division
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	PPG Paints Arena
	Capacité	19,000
	Assistance	18,179
	Billets de saison	17,670
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	23
	Limite contact	45 / 60
	Espoirs	9
Plafond salarial
	Cap Salarial de la Saison estimé	89,200,000$
	Plafond salarial disponible	6,300,000$
	Valeur du plafond salarial spécial	2,000,000$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	12,491,037$
	Dépenses annuelles à ce jour	15,040,156$
	Revenus de la saison estimés	60,670,751$
	Dépenses de la saison estimées	69,941,718$
	Compte bancaire actuel	20,639,040$
	Compte bancaire projeté	21,897,665$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any 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	SP	Âge	Contrat	Salaire
1	Mitch Marner		X	X		100.00	70	43	90	91	73	91	88	92	49	95	83	82	89	82	78	0	50	84	0	28	5	12,000,000$
2	Quinton Byfield		X	X		100.00	80	41	72	85	92	87	83	86	65	80	78	75	80	68	58	0	50	78	0	23	4	6,250,000$
3	Alex Wennberg	X				100.00	69	42	92	78	78	88	91	78	72	78	71	79	76	85	75	0	50	77	0	31	1	5,000,000$
4	Eetu Luostarinen	X	X	X		100.00	80	41	82	83	81	87	85	77	62	75	71	81	77	73	63	0	50	76	0	27	2	3,000,000$
5	Jordan Eberle			X		100.00	66	43	87	76	72	86	92	79	51	78	73	71	76	90	89	0	50	76	0	35	1	4,750,000$
6	Kiefer Sherwood		X			100.00	92	60	72	80	77	85	85	82	50	76	75	74	79	76	66	0	50	76	0	30	1	1,500,000$
7	Mason McTavish	X	X			100.00	72	42	70	79	88	87	81	86	76	78	79	71	81	63	53	0	50	76	0	22	5	7,000,000$
8	Ryan Strome	X	X	X		100.00	70	68	65	75	77	87	92	83	68	80	71	69	76	87	80	0	50	76	0	32	2	5,000,000$
9	Teddy Blueger	X				100.00	78	55	75	77	75	85	86	76	77	76	68	77	73	76	66	0	50	75	0	31	1	1,800,000$
10	Macklin Celebrini	X				100.00	65	40	74	76	72	78	69	83	65	81	80	75	76	53	50	0	50	74	0	19	2	975,000$
11	Anthony Duclair		X			100.00	67	40	83	75	78	86	86	75	43	68	71	65	74	85	75	0	50	72	0	30	3	3,500,000$
12	Vinnie Hinostroza	X		X		100.00	61	41	77	73	68	79	77	67	52	64	64	63	68	83	69	0	50	67	0	31	1	775,000$
13	Charlie McAvoy				X	100.00	72	47	65	81	83	93	84	81	40	78	74	82	79	79	74	0	50	79	0	27	5	9,500,000$
14	Adam Pelech				X	100.00	71	46	76	75	84	91	88	76	40	76	62	87	71	84	74	0	50	78	0	31	4	5,750,000$
15	Nicolas Hague				X	100.00	74	69	72	72	94	86	84	76	40	69	67	78	72	73	63	0	50	75	0	26	4	5,500,000$
16	Ryan Graves				X	100.00	73	50	79	74	88	85	85	73	40	67	65	82	70	76	66	0	50	75	0	30	4	4,500,000$
17	Justin Barron				X	100.00	69	45	83	77	84	86	78	75	40	67	71	73	74	63	53	0	50	73	0	23	1	1,150,000$
18	Wyatt Kaiser				X	100.00	66	42	84	83	76	86	73	71	40	65	65	75	73	59	50	0	50	72	0	23	2	1,700,000$
Rayé
Équipe Mineure
1	Adam Edstrom	X		X		100.00	73	49	73	66	86	72	68	66	41	60	62	64	65	55	50	0	50	65	0	25	2	975,000$
2	Andrew Poturalski	X				100.00	55	43	69	71	59	71	70	66	47	66	62	63	66	65	58	0	50	65	0	31	1	800,000$
3	Tye Felhaber		X			100.00	62	54	58	69	62	67	65	63	43	60	59	63	63	54	50	0	50	62	0	27	1	775,000$
4	Raphael Lavoie	X		X		100.00	62	44	65	64	67	65	63	64	44	58	61	56	63	52	50	0	50	61	0	25	1	775,000$
5	Brett Harrison	X				100.00	63	41	72	65	64	63	61	60	42	56	53	59	59	50	50	0	50	59	0	22	1	836,667$
6	Gavin Hayes		X			100.00	59	41	68	62	61	61	59	59	41	56	54	56	58	50	50	0	50	58	0	21	2	865,000$
7	Nikita Prishchepov	X				100.00	61	42	63	62	62	61	59	59	42	58	55	59	59	50	50	0	50	58	0	21	2	806,667$
8	Samuel Savoie		X			100.00	58	41	67	59	62	62	61	60	42	59	55	54	58	50	50	0	50	58	0	21	2	846,667$
9	Elias Petterssen (D)				X	100.00	63	40	72	69	72	75	62	64	40	61	61	62	65	51	50	0	50	64	0	21	2	838,333$
10	Logan Mailloux				X	100.00	66	50	59	66	70	64	62	66	40	63	64	67	65	50	50	0	50	64	0	22	1	875,000$
11	Joe Hicketts				X	100.00	54	43	67	70	56	69	68	63	40	63	54	68	62	59	54	0	50	63	0	29	1	775,000$
12	Cameron Crotty				X	100.00	59	44	66	65	65	67	66	61	40	55	51	62	59	54	50	0	50	61	0	26	2	812,500$
13	Elias Salomonsson				X	100.00	60	41	67	62	62	58	56	61	40	61	56	63	60	50	50	0	50	60	0	21	2	815,000$
14	Aleksi Heimosalmi				X	100.00	55	41	67	62	61	62	61	61	40	55	56	53	60	50	50	0	50	58	0	22	1	805,833$
15	Jakub Dvorak				X	100.00	62	41	65	58	67	58	56	57	40	54	53	59	56	50	50	0	50	58	0	20	2	870,000$
16	Jake Wise	X	X	X		100.00	59	41	71	65	62	66	64	62	43	60	57	59	62	52	50	0	50	60	0	25	0	0$
17	Daniel D'Amato	X	X	X		100.00	56	43	68	65	59	65	63	60	42	54	55	53	60	52	50	0	50	58	0	24	0	0$
18	Rhett Pitlick	X	X	X		100.00	57	40	66	62	57	60	58	56	40	54	53	59	57	51	50	0	50	57	0	24	0	0$
19	Daniil Misyul				X	100.00	56	45	63	67	62	65	63	59	40	55	54	61	60	52	50	0	50	60	0	25	0	0$
20	John Gormley				X	100.00	62	40	62	58	67	60	58	55	40	54	53	61	55	51	50	0	50	59	0	25	0	0$
21	Gannon Laroque				X	100.00	57	40	57	57	58	52	51	52	40	51	52	54	53	50	50	0	50	54	0	22	0	0$

	MOYENNE D’ÉQUIPE					100.00	65	45	71	71	71	74	72	69	47	66	63	67	67	63	58	0	50	67

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any 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	SP	Âge	Contrat	Salaire
1	Lukas Dostal	100.00	86	86	88	78	90	87	81	85	86	88	86	63	56	0	50	77	0	25	5	6,500,000$
2	Connor Hughes	100.00	68	66	66	69	68	68	69	67	68	68	62	55	51	0	50	62	0	29	1	0$
Rayé
1	Leevi Merilainen	97.00	78	68	67	72	71	75	76	76	76	72	67	56	52	0	50	67	0	23	1	1,050,000$
2	Tomas Suchanek	100.00	63	53	53	52	57	58	62	58	60	58	49	50	50	0	50	54	0	22	0	0$
Équipe Mineure
1	Kevin Mandolese	100.00	69	61	60	67	66	66	68	65	67	65	54	52	50	0	50	60	0	25	0	0$
2	Michael Simpson	100.00	63	58	57	63	61	60	61	58	62	60	55	50	50	0	50	56	0	22	0	0$

	MOYENNE D’ÉQUIPE	99.50	71	65	65	67	69	69	70	68	70	69	62	54	52	0	50	63

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Aaron Schneekloth	1	1	1	1	1	1	1	CAN	46	5	1$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKA	PKP	PKS	PKM	GW	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	S1	S2	S3
1	Mitch Marner	Pittsburgh Penguins	LW/RW	16	11	8	19	9	5	5	16	41	68	7	29	16.18%	3	335	20.97	3	2	5	6	45	0	0	0	12	4	44.00%	25	0	1	1.13	0	0	1	0	1	2	2
2	Quinton Byfield	Pittsburgh Penguins	LW/RW	17	4	15	19	-1	14	0	26	32	56	17	35	7.14%	6	312	18.41	1	3	4	15	43	0	0	2	26	0	48.72%	39	0	0	1.21	0	0	0	0	1	1	0
3	Alex Wennberg	Pittsburgh Penguins	C	17	9	9	18	4	2	0	7	44	38	6	36	23.68%	2	318	18.75	1	3	4	3	45	1	1	0	42	0	50.48%	416	0	0	1.13	0	0	0	0	1	0	0
4	Eetu Luostarinen	Pittsburgh Penguins	C/LW/RW	18	5	11	16	7	2	0	27	49	40	8	23	12.50%	5	355	19.72	2	4	6	8	43	0	0	1	56	0	46.83%	442	0	0	0.90	1	1	0	0	1	0	3
5	Charlie McAvoy	Pittsburgh Penguins	D	17	2	11	13	5	17	5	41	18	30	9	18	6.67%	29	410	24.14	2	2	4	10	33	0	0	0	36	0	0%	0	0	0	0.63	0	0	0	1	0	0	1
6	Mason McTavish	Pittsburgh Penguins	C/LW	17	6	6	12	2	8	0	21	37	45	18	38	13.33%	3	298	17.55	0	1	1	6	37	0	0	0	22	0	48.61%	288	0	0	0.80	0	0	0	0	1	1	0
7	Macklin Celebrini	Pittsburgh Penguins	C	14	5	4	9	1	6	0	5	31	35	13	24	14.29%	1	225	16.14	0	0	0	5	25	0	0	0	11	1	43.73%	279	0	0	0.80	0	0	0	0	0	1	1
8	Anthony Duclair	Pittsburgh Penguins	LW	17	4	3	7	3	6	0	17	12	25	8	23	16.00%	2	257	15.16	0	0	0	1	9	0	0	0	1	1	37.50%	16	0	0	0.54	0	0	0	0	0	0	0
9	Justin Barron	Pittsburgh Penguins	D	17	0	7	7	-6	29	5	25	17	18	9	10	0%	21	354	20.87	0	3	3	12	44	0	0	1	33	0	0%	0	0	0	0.39	0	0	1	0	1	0	0
10	Nicolas Hague	Pittsburgh Penguins	D	9	2	4	6	3	0	0	16	6	12	1	7	16.67%	9	173	19.25	0	0	0	4	13	0	0	0	15	1	0%	0	0	0	0.69	0	0	0	0	0	0	1
11	Ryan Graves	Pittsburgh Penguins	D	16	3	3	6	3	6	0	25	13	21	2	10	14.29%	24	329	20.58	2	2	4	8	25	0	0	1	37	0	0%	0	1	0	0.36	0	0	0	0	0	2	0
12	Wyatt Kaiser	Pittsburgh Penguins	D	17	0	6	6	-3	6	0	22	14	17	8	4	0%	19	337	19.83	0	0	0	5	21	1	1	0	39	0	0%	0	0	0	0.36	0	0	0	0	0	0	0
13	Adam Pelech	Pittsburgh Penguins	D	16	1	4	5	-8	6	0	22	19	8	3	10	12.50%	20	283	17.73	0	0	0	4	10	0	0	0	39	0	0%	0	0	0	0.35	0	0	0	0	0	0	0
14	Jordan Eberle	Pittsburgh Penguins	RW	16	0	5	5	-10	4	0	8	19	38	17	32	0%	3	284	17.76	0	0	0	11	45	0	0	0	9	0	44.74%	38	0	0	0.35	0	0	0	0	1	0	0
15	Ryan Strome	Pittsburgh Penguins	C/LW/RW	17	2	3	5	-5	4	0	23	13	21	5	19	9.52%	3	227	13.36	0	0	0	0	0	0	0	0	21	0	53.45%	174	0	0	0.44	0	0	0	0	0	0	0
16	Logan Mailloux	Wilkes-Barre Penguins (PIT)	D	11	2	2	4	-2	10	0	23	8	5	4	5	40.00%	12	179	16.35	0	1	1	0	18	0	0	0	9	0	0%	0	0	0	0.44	0	0	0	0	0	0	0
17	Kiefer Sherwood	Pittsburgh Penguins	LW	17	2	1	3	2	2	0	16	12	21	11	18	9.52%	1	150	8.83	0	0	0	0	0	0	0	0	14	0	38.46%	13	0	0	0.40	0	0	0	0	0	0	0
18	Adam Edstrom	Wilkes-Barre Penguins (PIT)	C/RW	8	0	2	2	-1	2	0	13	3	8	3	7	0%	1	66	8.29	0	0	0	0	0	0	0	0	0	0	32.26%	31	0	0	0.60	0	0	0	0	0	0	0
19	Elias Petterssen (D)	Wilkes-Barre Penguins (PIT)	D	11	0	2	2	0	6	0	20	4	8	1	0	0%	11	215	19.63	0	0	0	2	14	0	0	0	28	0	0%	0	0	0	0.19	0	0	0	0	0	0	0
20	Teddy Blueger	Pittsburgh Penguins	C	17	1	1	2	2	2	0	5	15	20	5	16	5.00%	1	123	7.26	0	0	0	0	0	0	0	0	0	1	53.57%	112	0	0	0.32	0	0	0	0	0	0	0
21	Vinnie Hinostroza	Pittsburgh Penguins	C/RW	17	2	0	2	-2	2	0	4	12	9	5	5	22.22%	0	111	6.53	0	0	0	0	0	0	0	0	0	0	43.48%	92	0	0	0.36	0	0	0	0	0	0	0
22	Andrew Poturalski	Wilkes-Barre Penguins (PIT)	C	11	0	1	1	-3	0	0	4	13	4	4	8	0%	1	106	9.66	0	0	0	0	0	0	0	0	1	0	20.69%	29	0	0	0.19	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				333	61	108	169	0	139	15	386	432	547	164	377	11.15%	177	5457	16.39	11	21	32	100	479	2	2	5	459	8	47.44%	1994	1	1	0.62	1	1	2	1	7	7	8

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	PS %	ST	BG	S1	S3
1	Lukas Dostal	Pittsburgh Penguins	14	5	8	1	0.882	4.26	690	2	49	415	0	0	14	3	1	2
2	Leevi Merilainen	Pittsburgh Penguins	7	2	1	0	0.918	2.73	330	0	15	184	1	0	3	14	0	0
Statistiques d’équipe totales ou en moyenne			21	7	9	1	0.893	3.77	1020	2	64	599	1		17	17	1	2

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	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 restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10	Lien
Adam Pelech	Pittsburgh Penguins	D	31	1994-08-16	CAN	No	210 Lbs	6 ft3	No	No	Trade	2025-10-30	No	No	4	2025-05-26	False	False	Pro & Farm	5,750,000$	4,611,979$	5,750,000$	4,611,979$	No	5,750,000$	5,750,000$	5,750,000$	-	-	-	-	-	-	5,750,000$	5,750,000$	5,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Alex Wennberg	Pittsburgh Penguins	C	31	1994-09-22	SWE	No	190 Lbs	6 ft2	No	No	Trade	2025-10-12	No	No	1	2025-05-26	False	False	Pro & Farm	5,000,000$	4,010,417$	5,000,000$	4,010,417$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Anthony Duclair	Pittsburgh Penguins	LW	30	1995-08-26	CAN	No	200 Lbs	6 ft0	No	No	Assign Manually		No	Yes	3	2025-05-26	False	False	Pro & Farm	3,500,000$	2,807,292$	3,500,000$	2,807,292$	No	3,500,000$	3,500,000$	-	-	-	-	-	-	-	3,500,000$	3,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Charlie McAvoy	Pittsburgh Penguins	D	27	1997-12-21	USA	No	213 Lbs	6 ft1	No	No	Trade	2025-10-31	No	No	5	2025-05-26	False	False	Pro & Farm	9,500,000$	7,619,792$	9,500,000$	7,619,792$	No	9,500,000$	9,500,000$	9,500,000$	9,500,000$	-	-	-	-	-	9,500,000$	9,500,000$	9,500,000$	9,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Connor Hughes	Pittsburgh Penguins	G	29	1996-09-10	CAN	No	225 Lbs	6 ft4	No	No	Assign Manually		No	No	1	2025-11-10	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Eetu Luostarinen	Pittsburgh Penguins	C/LW/RW	27	1998-09-02	FIN	No	191 Lbs	6 ft3	No	No	Trade	2025-11-06	No	No	2	2025-05-26	False	False	Pro & Farm	3,000,000$	2,406,250$	3,000,000$	2,406,250$	No	3,000,000$	-	-	-	-	-	-	-	-	3,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Jordan Eberle	Pittsburgh Penguins	RW	35	1990-05-15	CAN	No	180 Lbs	5 ft11	No	No	Trade	2025-10-12	No	No	1	2025-05-26	False	False	Pro & Farm	4,750,000$	3,809,896$	4,750,000$	3,809,896$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Justin Barron	Pittsburgh Penguins	D	23	2001-11-15	CAN	No	198 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-05-26	False	False	Pro & Farm	1,150,000$	922,396$	1,150,000$	922,396$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Kiefer Sherwood	Pittsburgh Penguins	LW	30	1995-03-31	USA	No	194 Lbs	6 ft0	No	No	Trade	2025-10-31	No	No	1	2025-05-26	False	False	Pro & Farm	1,500,000$	1,203,125$	1,500,000$	1,203,125$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Leevi Merilainen	Pittsburgh Penguins	G	23	2002-08-13	FIN	No	186 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-07-02	False	False	Pro & Farm	1,050,000$	842,188$	1,050,000$	842,188$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Lukas Dostal	Pittsburgh Penguins	G	25	2000-06-22	CZE	No	190 Lbs	6 ft2	No	No	Assign Manually		No	No	5	2025-07-22	False	False	Pro & Farm	6,500,000$	5,213,542$	6,500,000$	5,213,542$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	6,500,000$	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Macklin Celebrini	Pittsburgh Penguins	C	19	2006-06-13	CAN	No	190 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2025-05-26	False	False	Pro & Farm	975,000$	782,031$	975,000$	782,031$	No	975,000$	-	-	-	-	-	-	-	-	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mason McTavish	Pittsburgh Penguins	C/LW	22	2003-01-30	CHE	No	219 Lbs	6 ft1	No	No	Assign Manually		No	No	5	2025-09-28	False	False	Pro & Farm	7,000,000$	5,614,583$	7,000,000$	5,614,583$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	-	-	-	-	-	7,000,000$	7,000,000$	7,000,000$	7,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Mitch Marner	Pittsburgh Penguins	LW/RW	28	1997-05-05	CAN	No	180 Lbs	6 ft0	No	No	Trade	2025-11-03	No	No	5	2025-07-02	False	False	Pro & Farm	12,000,000$	9,625,000$	12,000,000$	9,625,000$	No	12,000,000$	12,000,000$	12,000,000$	12,000,000$	-	-	-	-	-	12,000,000$	12,000,000$	12,000,000$	12,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Nicolas Hague	Pittsburgh Penguins	D	26	1998-12-05	CAN	No	245 Lbs	6 ft6	No	No	Assign Manually		No	No	4	2025-10-22	False	False	Pro & Farm	5,500,000$	4,411,458$	5,500,000$	4,411,458$	No	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Quinton Byfield	Pittsburgh Penguins	LW/RW	23	2002-08-19	CAN	No	225 Lbs	6 ft5	No	No	Assign Manually		No	No	4	2025-05-26	False	False	Pro & Farm	6,250,000$	5,013,021$	6,250,000$	5,013,021$	No	6,250,000$	6,250,000$	6,250,000$	-	-	-	-	-	-	6,250,000$	6,250,000$	6,250,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Ryan Graves	Pittsburgh Penguins	D	30	1995-05-21	CAN	No	222 Lbs	6 ft5	No	No	Trade	2025-10-12	No	No	4	2025-05-26	False	False	Pro & Farm	4,500,000$	3,609,375$	4,500,000$	3,609,375$	No	4,500,000$	4,500,000$	4,500,000$	-	-	-	-	-	-	4,500,000$	4,500,000$	4,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Ryan Strome	Pittsburgh Penguins	C/LW/RW	32	1993-07-11	CAN	No	192 Lbs	6 ft1	No	No	Trade	2025-10-14	No	No	2	2025-05-26	False	False	Pro & Farm	5,000,000$	4,010,417$	5,000,000$	4,010,417$	No	5,000,000$	-	-	-	-	-	-	-	-	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Teddy Blueger	Pittsburgh Penguins	C	31	1994-08-15	LVA	No	185 Lbs	6 ft0	No	No	Trade	2025-11-05	No	No	1	2025-05-26	False	False	Pro & Farm	1,800,000$	1,443,750$	1,800,000$	1,443,750$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Tomas Suchanek	Pittsburgh Penguins	G	22	2003-04-30	CZE	No	185 Lbs	6 ft1	No	No	Assign Manually		No	No	0	2025-07-22	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Vinnie Hinostroza	Pittsburgh Penguins	C/RW	31	1994-04-03	USA	No	183 Lbs	5 ft10	No	No	Fantasy Draft		No	Yes	1	2025-05-26	False	False	Pro & Farm	775,000$	621,615$	775,000$	621,615$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Wyatt Kaiser	Pittsburgh Penguins	D	23	2002-07-31	USA	No	173 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2025-09-25	False	False	Pro & Farm	1,700,000$	1,363,542$	1,700,000$	1,363,542$	No	1,700,000$	-	-	-	-	-	-	-	-	1,700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	27.18	199 Lbs	6 ft2	2.50	3,963,636$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
87,200,000$	71,175,000$	60,500,000$	57,000,000$	35,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Mitch Marner	Macklin Celebrini	Anthony Duclair	33	1	2	2
2	Mason McTavish	Alex Wennberg	Quinton Byfield	32	1	2	2
3	Eetu Luostarinen	Ryan Strome	Jordan Eberle	25	1	2	2
4	Vinnie Hinostroza	Teddy Blueger	Kiefer Sherwood	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Charlie McAvoy	Adam Pelech	30	1	2	2
2	Ryan Graves	Nicolas Hague	30	1	2	2
3	Wyatt Kaiser	Justin Barron	25	1	2	2
4	Charlie McAvoy	Wyatt Kaiser	15	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Quinton Byfield	Mason McTavish	Mitch Marner	50	1	2	2
2	Anthony Duclair	Alex Wennberg	Eetu Luostarinen	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Charlie McAvoy	Macklin Celebrini	50	1	2	2
2	Nicolas Hague	Wyatt Kaiser	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Ryan Strome	Kiefer Sherwood	50	1	2	2
2	Alex Wennberg	Eetu Luostarinen	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Adam Pelech	50	1	2	2
2	Charlie McAvoy	Wyatt Kaiser	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Strome	50	1	2	2	Ryan Graves	Adam Pelech	50	1	2	2
2	Eetu Luostarinen	50	1	2	2	Wyatt Kaiser	Nicolas Hague	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mason McTavish	Quinton Byfield	50	1	2	2
2	Macklin Celebrini	Mitch Marner	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Charlie McAvoy	Ryan Graves	50	1	2	2
2	Nicolas Hague	Adam Pelech	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Quinton Byfield	Mason McTavish	Jordan Eberle	Charlie McAvoy	Macklin Celebrini

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Ryan Strome	Alex Wennberg	Jordan Eberle	Ryan Graves	Adam Pelech

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Macklin Celebrini, Mitch Marner, Quinton Byfield	Macklin Celebrini, Mitch Marner	Jordan Eberle

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Charlie McAvoy, Adam Pelech, Nicolas Hague	Charlie McAvoy	Charlie McAvoy, Adam Pelech

Tirs de pénalité
Quinton Byfield, Mitch Marner, Macklin Celebrini, Mason McTavish, Jordan Eberle

Gardien
#1 : Lukas Dostal, #2 : Connor Hughes

Lignes d’attaque personnalisées en prolongation
Quinton Byfield, Mitch Marner, Macklin Celebrini, Mason McTavish, Eetu Luostarinen, Alex Wennberg, Ryan Strome, Teddy Blueger, Anthony Duclair, Jordan Eberle

Lignes de défense personnalisées en prolongation
Charlie McAvoy, Adam Pelech, Wyatt Kaiser, Ryan Graves, Nicolas Hague

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	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
1	Anaheim Ducks	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	0	0	2	0	29	12	9	8	0	43	6	6	24	1	0	0.00%	3	0	100.00%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	21	14	26	6	11	5
2	Columbus Blue Jackets	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	6	9	0	0	1	2	0	0	41	11	19	11	0	37	8	0	23	5	2	40.00%	0	0	0%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	26	18	21	7	13	7
3	Florida Panthers	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	0	1	1	1	0	23	10	4	9	0	33	4	7	20	9	2	22.22%	1	1	0.00%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	25	18	23	6	11	5
4	Los Angeles Kings	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	13	20	0	0	5	0	2	0	61	29	15	17	0	64	20	14	46	4	0	0.00%	6	1	83.33%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	42	29	52	14	24	11
5	Minnesota Wild	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	1	2	1	0	48	17	13	18	0	25	5	6	21	7	1	14.29%	3	0	100.00%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	24	17	23	6	11	6
6	New Jersey Devils	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	1.000	5	9	14	0	0	1	3	0	1	32	9	17	4	2	39	13	6	20	0	0	0%	3	1	66.67%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	22	15	25	6	12	6
7	New York Islanders	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	0	1	0	34	6	14	14	0	41	13	14	21	3	0	0.00%	6	1	83.33%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	20	14	28	6	10	4
8	New York Rangers	2	0	2	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	5	9	14	0	0	2	2	1	0	46	16	13	17	0	74	18	16	46	8	1	12.50%	6	4	33.33%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	43	31	51	14	24	11
9	Philadelphia Flyers	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	1	1	1	0	24	6	15	3	0	20	9	12	18	5	0	0.00%	6	1	83.33%	1	260	558	46.59%	301	658	45.74%	134	275	48.73%	24	16	22	7	13	6
10	San Jose Sharks	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	0	0	1	0	26	11	6	9	0	50	12	10	22	1	0	0.00%	4	1	75.00%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	18	12	29	8	11	5
11	St. Louis Blues	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	1	1	2	0	31	10	12	9	0	37	8	4	19	6	1	16.67%	2	0	100.00%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	19	13	29	7	11	5
12	Toronto Maple Leafs	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	8	13	0	0	1	2	2	0	20	5	7	8	0	28	9	15	16	2	0	0.00%	5	1	80.00%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	23	16	24	6	12	5
13	Vancouver Canucks	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	1	7	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	1	0	0	14	4	7	3	0	42	11	12	21	1	0	0.00%	6	2	66.67%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	17	11	28	7	13	5
14	Washington Capitals	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	1	2	0	0	26	10	11	5	0	36	6	10	19	1	0	0.00%	4	0	100.00%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	23	17	24	6	12	5
15	Winnipeg Jets	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	1	0	1	0	37	15	9	13	0	30	11	12	20	3	0	0.00%	6	2	66.67%	0	260	558	46.59%	301	658	45.74%	134	275	48.73%	21	14	25	8	12	5
	Total	17	6	9	0	1	1	0	0	49	64	-15	7	2	4	0	0	1	0	0	19	30	-11	10	4	5	0	1	0	0	0	30	34	-4	15	0.441	49	90	139	0	0	16	17	15	1	492	171	171	148	2	599	153	144	356	56	7	12.50%	61	15	75.41%	1	260	558	46.59%	301	658	45.74%	134	275	48.73%	376	263	436	121	208	100
	_Since Last GM Reset	17	6	9	0	1	1	0	0	49	64	-15	7	2	4	0	0	1	0	0	19	30	-11	10	4	5	0	1	0	0	0	30	34	-4	15	0.441	49	90	139	0	0	16	17	15	1	492	171	171	148	2	599	153	144	356	56	7	12.50%	61	15	75.41%	1	260	558	46.59%	301	658	45.74%	134	275	48.73%	376	263	436	121	208	100
	_Vs Conference	9	2	5	0	1	1	0	0	28	40	-12	4	0	3	0	0	1	0	0	10	20	-10	5	2	2	0	1	0	0	0	18	20	-2	7	0.389	28	50	78	0	0	8	13	6	1	246	73	100	71	2	308	80	80	183	33	5	15.15%	31	9	70.97%	1	260	558	46.59%	301	658	45.74%	134	275	48.73%	210	149	220	62	111	54
	_Vs Division	7	1	4	0	1	1	0	0	20	33	-13	4	0	3	0	0	1	0	0	10	20	-10	3	1	1	0	1	0	0	0	10	13	-3	5	0.357	20	37	57	0	0	6	10	3	1	203	58	89	54	2	247	67	58	147	22	3	13.64%	25	7	72.00%	1	260	558	46.59%	301	658	45.74%	134	275	48.73%	161	113	172	48	87	42

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
17	15	W2	49	90	139	492	599	153	144	356	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	6	9	1	1	0	0	49	64

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	4	0	1	0	0	19	30

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	4	5	1	0	0	0	30	34

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	1	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
56	7	12.50%	61	15	75.41%	1

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
171	171	148	2	16	17	15	1

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
260	558	46.59%	301	658	45.74%	134	275	48.73%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
376	263	436	121	208	100

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	Lien
1	2	Pittsburgh Penguins	2	New York Rangers	7	L		Sommaire du match
3	13	New York Islanders	5	Pittsburgh Penguins	1	L		Sommaire du match
5	29	New York Rangers	5	Pittsburgh Penguins	3	L		Sommaire du match
8	56	Pittsburgh Penguins	2	Anaheim Ducks	4	L		Sommaire du match
10	71	Pittsburgh Penguins	3	Los Angeles Kings	2	W		Sommaire du match
12	88	Pittsburgh Penguins	1	San Jose Sharks	2	L		Sommaire du match
15	101	Vancouver Canucks	7	Pittsburgh Penguins	1	L		Sommaire du match
17	114	Pittsburgh Penguins	3	Florida Panthers	5	L		Sommaire du match
19	134	Columbus Blue Jackets	4	Pittsburgh Penguins	3	L	X	Sommaire du match
21	148	St. Louis Blues	2	Pittsburgh Penguins	4	W		Sommaire du match
22	150	Pittsburgh Penguins	3	Philadelphia Flyers	2	W		Sommaire du match
24	173	Pittsburgh Penguins	4	Minnesota Wild	2	W		Sommaire du match
26	182	Pittsburgh Penguins	2	Winnipeg Jets	4	L		Sommaire du match
28	199	Pittsburgh Penguins	5	Toronto Maple Leafs	2	W		Sommaire du match
31	221	Washington Capitals	6	Pittsburgh Penguins	3	L		Sommaire du match
33	231	Pittsburgh Penguins	5	New Jersey Devils	4	W	X	Sommaire du match
34	245	Los Angeles Kings	1	Pittsburgh Penguins	4	W		Sommaire du match
39	281	Pittsburgh Penguins	-	Nashville Predators	-
41	296	Nashville Predators	-	Pittsburgh Penguins	-
46	332	Minnesota Wild	-	Pittsburgh Penguins	-
47	340	Seattle Kraken	-	Pittsburgh Penguins	-
51	366	Buffalo Sabres	-	Pittsburgh Penguins	-
53	388	Pittsburgh Penguins	-	Columbus Blue Jackets	-
54	396	Toronto Maple Leafs	-	Pittsburgh Penguins	-
56	407	Pittsburgh Penguins	-	Philadelphia Flyers	-
59	428	Pittsburgh Penguins	-	Tampa Bay Lightning	-
62	456	Pittsburgh Penguins	-	Dallas Stars	-
64	470	Anaheim Ducks	-	Pittsburgh Penguins	-
66	484	Montreal Canadiens	-	Pittsburgh Penguins	-
68	497	San Jose Sharks	-	Pittsburgh Penguins	-
69	509	Utah Mammoth	-	Pittsburgh Penguins	-
71	524	Edmonton Oilers	-	Pittsburgh Penguins	-
73	537	Pittsburgh Penguins	-	Ottawa Senators	-
75	556	Pittsburgh Penguins	-	Montreal Canadiens	-
76	566	Montreal Canadiens	-	Pittsburgh Penguins	-
78	575	Pittsburgh Penguins	-	Toronto Maple Leafs	-
83	604	Pittsburgh Penguins	-	Chicago Blackhawks	-
85	619	Carolina Hurricanes	-	Pittsburgh Penguins	-
87	635	Detroit Red Wings	-	Pittsburgh Penguins	-
89	644	Pittsburgh Penguins	-	Detroit Red Wings	-
90	658	Pittsburgh Penguins	-	Columbus Blue Jackets	-
94	687	New Jersey Devils	-	Pittsburgh Penguins	-
96	698	Calgary Flames	-	Pittsburgh Penguins	-
97	712	Pittsburgh Penguins	-	Boston Bruins	-
99	726	Tampa Bay Lightning	-	Pittsburgh Penguins	-
101	741	Philadelphia Flyers	-	Pittsburgh Penguins	-
103	760	Columbus Blue Jackets	-	Pittsburgh Penguins	-
105	772	Pittsburgh Penguins	-	Seattle Kraken	-
107	791	Pittsburgh Penguins	-	Calgary Flames	-
108	800	Pittsburgh Penguins	-	Edmonton Oilers	-
111	822	Pittsburgh Penguins	-	Vancouver Canucks	-
115	850	Chicago Blackhawks	-	Pittsburgh Penguins	-
117	861	New York Rangers	-	Pittsburgh Penguins	-
119	877	Ottawa Senators	-	Pittsburgh Penguins	-
120	888	Pittsburgh Penguins	-	New York Islanders	-
122	903	Pittsburgh Penguins	-	Buffalo Sabres	-
143	922	New Jersey Devils	-	Pittsburgh Penguins	-
145	934	Pittsburgh Penguins	-	New York Rangers	-
146	947	Vegas Golden Knights	-	Pittsburgh Penguins	-
148	959	Pittsburgh Penguins	-	Boston Bruins	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150	977	Buffalo Sabres	-	Pittsburgh Penguins	-
152	993	Philadelphia Flyers	-	Pittsburgh Penguins	-
153	1002	Boston Bruins	-	Pittsburgh Penguins	-
155	1018	Pittsburgh Penguins	-	Carolina Hurricanes	-
157	1039	Pittsburgh Penguins	-	Vegas Golden Knights	-
159	1054	Pittsburgh Penguins	-	Utah Mammoth	-
161	1067	Pittsburgh Penguins	-	Colorado Avalanche	-
163	1078	Pittsburgh Penguins	-	Carolina Hurricanes	-
166	1099	Winnipeg Jets	-	Pittsburgh Penguins	-
167	1112	Carolina Hurricanes	-	Pittsburgh Penguins	-
169	1126	Colorado Avalanche	-	Pittsburgh Penguins	-
171	1138	Pittsburgh Penguins	-	Ottawa Senators	-
173	1156	Dallas Stars	-	Pittsburgh Penguins	-
175	1173	Pittsburgh Penguins	-	New York Islanders	-
176	1183	Detroit Red Wings	-	Pittsburgh Penguins	-
178	1192	Pittsburgh Penguins	-	Tampa Bay Lightning	-
180	1211	Florida Panthers	-	Pittsburgh Penguins	-
181	1223	Florida Panthers	-	Pittsburgh Penguins	-
185	1251	Pittsburgh Penguins	-	New Jersey Devils	-
187	1263	Washington Capitals	-	Pittsburgh Penguins	-
188	1276	Pittsburgh Penguins	-	Washington Capitals	-
190	1299	Pittsburgh Penguins	-	St. Louis Blues	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	2000
Prix des billets	90	60	45	30	190
Assistance	40,181	33,250	13,328	26,855	13,641
Attendance PCT	95.67%	95.00%	95.20%	95.91%	97.44%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
34	18179 - 95.68%	1,784,434$	12,491,037$	19000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
15,040,156$	87,200,000$	87,200,000$	1$0$	2,000,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
87,200,000$	14,986,120$	0$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
60,670,751$	154	454,167$	69,941,718$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
70,921,112$	20,639,040$	21,897,665$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
89,200,000$	6,300,000$	95,500,000$	18,600,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Mitch Marner	AGE:28	PO:0	OV:84
Quinton Byfield	AGE:23	PO:0	OV:78
Eetu Luostarinen	AGE:27	PO:0	OV:76
Kiefer Sherwood	AGE:30	PO:0	OV:76
Mason McTavish	AGE:22	PO:0	OV:76
Ryan Strome	AGE:32	PO:0	OV:76
Anthony Duclair	AGE:30	PO:0	OV:72
Tye Felhaber	AGE:27	PO:0	OV:62
Jake Wise	AGE:25	PO:0	OV:60
Daniel D'Amato	AGE:24	PO:0	OV:58
Gavin Hayes	AGE:21	PO:0	OV:58
Samuel Savoie	AGE:21	PO:0	OV:58
Rhett Pitlick	AGE:24	PO:0	OV:57

Alex Wennberg	AGE:31	PO:0	OV:77
Eetu Luostarinen	AGE:27	PO:0	OV:76
Mason McTavish	AGE:22	PO:0	OV:76
Ryan Strome	AGE:32	PO:0	OV:76
Teddy Blueger	AGE:31	PO:0	OV:75
Macklin Celebrini	AGE:19	PO:0	OV:74
Vinnie Hinostroza	AGE:31	PO:0	OV:67
Adam Edstrom	AGE:25	PO:0	OV:65
Andrew Poturalski	AGE:31	PO:0	OV:65
Raphael Lavoie	AGE:25	PO:0	OV:61
Jake Wise	AGE:25	PO:0	OV:60
Brett Harrison	AGE:22	PO:0	OV:59
Daniel D'Amato	AGE:24	PO:0	OV:58
Nikita Prishchepov	AGE:21	PO:0	OV:58
Rhett Pitlick	AGE:24	PO:0	OV:57

Mitch Marner	AGE:28	PO:0	OV:84
Quinton Byfield	AGE:23	PO:0	OV:78
Eetu Luostarinen	AGE:27	PO:0	OV:76
Jordan Eberle	AGE:35	PO:0	OV:76
Ryan Strome	AGE:32	PO:0	OV:76
Vinnie Hinostroza	AGE:31	PO:0	OV:67
Adam Edstrom	AGE:25	PO:0	OV:65
Raphael Lavoie	AGE:25	PO:0	OV:61
Jake Wise	AGE:25	PO:0	OV:60
Daniel D'Amato	AGE:24	PO:0	OV:58
Rhett Pitlick	AGE:24	PO:0	OV:57

Défense #1

Défense #2

Gardien

Charlie McAvoy	AGE:27	PO:0	OV:79
Adam Pelech	AGE:31	PO:0	OV:78
Nicolas Hague	AGE:26	PO:0	OV:75
Ryan Graves	AGE:30	PO:0	OV:75
Justin Barron	AGE:23	PO:0	OV:73
Wyatt Kaiser	AGE:23	PO:0	OV:72
Elias Petterssen (D)	AGE:21	PO:0	OV:64
Logan Mailloux	AGE:22	PO:0	OV:64

Joe Hicketts	AGE:29	PO:0	OV:63
Cameron Crotty	AGE:26	PO:0	OV:61
Daniil Misyul	AGE:25	PO:0	OV:60
Elias Salomonsson	AGE:21	PO:0	OV:60
John Gormley	AGE:25	PO:0	OV:59
Aleksi Heimosalmi	AGE:22	PO:0	OV:58
Jakub Dvorak	AGE:20	PO:0	OV:58
Gannon Laroque	AGE:22	PO:0	OV:54

Lukas Dostal	AGE:25	PO:0	OV:77
Leevi Merilainen	AGE:23	PO:0	OV:67
Connor Hughes	AGE:29	PO:0	OV:62
Kevin Mandolese	AGE:25	PO:0	OV:60
Michael Simpson	AGE:22	PO:0	OV:56
Tomas Suchanek	AGE:22	PO:0	OV:54

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Date de la Dernière Transaction	Lien
Cam Squires	Pittsburgh Penguins	2025	285	Fantasy Draft		Lien
Carson Wetsch	Pittsburgh Penguins	2025	292	Fantasy Draft		Lien
Ethan Gauthier	Pittsburgh Penguins	2025	138	Fantasy Draft	2025-10-12	Lien
Ethan Procyszyn	Pittsburgh Penguins	2025	221	Fantasy Draft		Lien
Henry Mews	Pittsburgh Penguins	2025	157	Fantasy Draft		Lien
Julius Miettinen	Pittsburgh Penguins	2025	164	Fantasy Draft		Lien
Lucas Dragicevic	Pittsburgh Penguins	2025	100	Fantasy Draft		Lien
Mikhail Yegorov	Pittsburgh Penguins	2025	93	Fantasy Draft		Lien
Yevgeni Volokhin	Pittsburgh Penguins	2025	228	Fantasy Draft		Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Pittsburgh Penguins Historique de transactions

[2025-11-10 08:16:57] Connor Hughes was added to Pittsburgh Penguins.
[2025-11-09 09:02:01] New Record for Team's Most Hits (27) in 1 Game for Pittsburgh Penguins!
[2025-11-08 08:36:32] New Record for Team's Most Points (14) in 1 Game for Pittsburgh Penguins!
[2025-11-08 08:36:32] New Record for Team's Most Assists (9) in 1 Game for Pittsburgh Penguins!
[2025-11-06 07:59:33] TRADE : From Pittsburgh Penguins to Nashville Predators : Patrik Laine (73), Y:2027-RND:4-PIT, Y:2022-RND:0-.
[2025-11-06 07:59:33] TRADE : From Nashville Predators to Pittsburgh Penguins : Eetu Luostarinen (76).
[2025-11-05 08:07:12] TRADE : From Pittsburgh Penguins to Vancouver Canucks : Josh Anderson (75), Y:2026-RND:5-PIT, Y:2026-RND:7-PIT.
[2025-11-05 08:07:12] TRADE : From Vancouver Canucks to Pittsburgh Penguins : Teddy Blueger (75).
[2025-11-03 08:04:32] New Record for Team's Most Penalties Minutes (15) in 1 Game for Pittsburgh Penguins!
[2025-11-03 08:04:32] New Record for Team's Most Points (13) in 1 Game for Pittsburgh Penguins!
[2025-11-03 08:04:32] New Record for Team's Most Goals (5) in 1 Game for Pittsburgh Penguins!
[2025-11-03 08:03:36] TRADE : From Pittsburgh Penguins to Minnesota Wild : Zack Bolduc (72), Justin Carbonneau (P), Y:2026-RND:1-PIT, Y:2026-RND:3-NYR.
[2025-11-03 08:03:36] TRADE : From Minnesota Wild to Pittsburgh Penguins : Mitch Marner (84).
[2025-10-31 08:09:29] TRADE : From Vancouver Canucks to Pittsburgh Penguins : Charlie McAvoy (79), Kiefer Sherwood (76).
[2025-10-31 08:09:29] TRADE : From Pittsburgh Penguins to Vancouver Canucks : Alexander Nikishin (62), Sam Rinzel (64), Y:2027-RND:1-PIT.
[2025-10-30 08:03:38] New Record for Team's Most Shots (48) in 1 Game for Pittsburgh Penguins!
[2025-10-30 08:03:10] TRADE : From Pittsburgh Penguins to Chicago Blackhawks : Oliver Moore (61), Y:2026-RND:5-NYI, Y:2026-RND:5-OTT.
[2025-10-30 08:03:10] TRADE : From Chicago Blackhawks to Pittsburgh Penguins : Adam Pelech (78).
[2025-10-27 08:02:29] New Record for Team's Most Points (12) in 1 Game for Pittsburgh Penguins!
[2025-10-27 08:02:29] New Record for Team's Most Assists (8) in 1 Game for Pittsburgh Penguins!
[2025-10-27 08:02:29] New Record for Team's Most Goals (4) in 1 Game for Pittsburgh Penguins!
[2025-10-25 10:00:37] New Record for Team's Most Shots (41) in 1 Game for Pittsburgh Penguins!
[2025-10-14 08:27:24] New Record for Team's Most Hits (24) in 1 Game for Pittsburgh Penguins!
[2025-10-14 08:25:04] TRADE : From Pittsburgh Penguins to New York Islanders : Conor Geekie (65).
[2025-10-14 08:25:04] TRADE : From New York Islanders to Pittsburgh Penguins : Ryan Strome (76), Y:2026-RND:5-NYI.
[2025-10-12 10:13:23] TRADE : From Pittsburgh Penguins to Ottawa Senators : Jamie Drysdale (73), Jani Nyman (60), Jonathan Drouin (75).
[2025-10-12 10:13:23] TRADE : From Ottawa Senators to Pittsburgh Penguins : Jordan Eberle (76), Ryan Graves (75), Ethan Gauthier (P), Y:2026-RND:3-NYR, Y:2026-RND:5-OTT.
[2025-10-12 10:12:03] TRADE : From Pittsburgh Penguins to Calgary Flames : Y:2026-RND:4-PIT, Y:2027-RND:3-PIT.
[2025-10-12 10:12:03] TRADE : From Calgary Flames to Pittsburgh Penguins : Alex Wennberg (77).
[2025-10-10 08:04:49] New Record for Team's Most Points (9) in 1 Game for Pittsburgh Penguins!
[2025-10-10 08:04:49] New Record for Team's Most Assists (6) in 1 Game for Pittsburgh Penguins!
[2025-10-10 08:04:49] New Record for Team's Most Goals (3) in 1 Game for Pittsburgh Penguins!
[2025-10-09 19:02:32] TRADE : From Pittsburgh Penguins to New York Islanders : Gabe Perreault (59), Michael Hage (P), Y:2026-RND:3-PIT.
[2025-10-09 19:02:32] TRADE : From New York Islanders to Pittsburgh Penguins : Alexander Nikishin (62), Oliver Moore (61), Y:2026-RND:7-UTA.
[2025-10-09 08:02:58] New Record for Team's Most Penalties Minutes (14) in 1 Game for Pittsburgh Penguins!
[2025-10-09 08:02:58] New Record for Team's Most Shots Blocked (13) in 1 Game for Pittsburgh Penguins!
[2025-10-09 08:02:58] New Record for Team's Most Shots (34) in 1 Game for Pittsburgh Penguins!
[2025-10-08 13:38:50] General Manager Change : Pittsburgh Penguins hired general manager Gabriel Samson
[2025-10-08 13:38:50] General Manager Change : Pittsburgh Penguins fired general manager Patrick Mathieu
[2025-10-07 08:12:42] New Record for Team's Most Hits (23) in 1 Game for Pittsburgh Penguins!
[2025-10-07 08:12:42] New Record for Team's Most Penalties Minutes (12) in 1 Game for Pittsburgh Penguins!
[2025-10-07 08:12:42] New Record for Team's Most Shots Blocked (11) in 1 Game for Pittsburgh Penguins!
[2025-10-07 08:12:42] New Record for Team's Most Shots (15) in 1 Game for Pittsburgh Penguins!
[2025-10-07 08:12:42] New Record for Team's Most Points (5) in 1 Game for Pittsburgh Penguins!
[2025-10-07 08:12:42] New Record for Team's Most Assists (3) in 1 Game for Pittsburgh Penguins!
[2025-10-07 08:12:42] New Record for Team's Most Goals (2) in 1 Game for Pittsburgh Penguins!
[2025-10-07 08:12:42] New Record for Team's Most Penalties Minutes (12) in 1 Game for Pittsburgh Penguins!
[2025-10-07 08:12:42] New Record for Team's Most Shots Blocked (11) in 1 Game for Pittsburgh Penguins!
[2025-09-20 05:37:01] Wilkes-Barre Penguins hired Adam Foote for $1 for 5 year(s).
[2025-09-20 05:36:52] Pittsburgh Penguins hired Aaron Schneekloth for $1 for 5 year(s).
[2025-09-19 15:17:47] Magnus Hellberg was released.
[2025-09-19 15:17:47] Tyler Wotherspoon was released.
[2025-09-19 15:17:47] Tyler Johnson was released.
[2025-09-19 15:17:47] Mike Vecchione was released.
[2025-09-19 15:17:47] Mark Friedman was released.
[2025-09-19 15:17:47] Cole Bardreau was released.
[2025-09-19 15:17:47] Andy Welinski was released.

Pas de blessure ou de suspension.

Pittsburgh Penguins Leaders statistiques des joueurs (saison régulière)

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#	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)

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#	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

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	Total											Domicile											Visiteur
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)

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#	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)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Pittsburgh Penguins
	GP: 17 \| W: 7 \| L: 9 \| OTL: 1 \| P: 15 GF: 49 \| GA: 64 \| PP%: 12.50% \| PK%: 75.41% DG: Gabriel Samson \| Morale : 50 \| Moyenne d’équipe : 74 Prochains matchs #281 vs Nashville Predators