Salt Lake City Lynx
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Stephan
	Division	Metropolitan
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	PPG Paints Arena
	Capacité	18,387
	Assistance
	Billets de saison	9,194
Informations de la formation
	Équipe Pro	18
	Équipe Mineure	28
	Limite contact	46 / 65
	Espoirs	24
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	88,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	12
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	140,907,196$
	Compte bancaire projeté	140,907,196$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	150-139-43 (0.452%)
	Apparitions en séries éliminatoires	0
	Historique en séries éliminatoires (W-L)	-
	Coupe Stanley	0

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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	Bo Horvat	0	X	X	X		100.00	77	44	93	91	78	84	98	83	99	78	85	71	61	80	82	0	75	78	2	30	2	8,500,000$
2	Jack Hughes	0	X	X	X		100.00	57	40	90	91	64	85	81	84	75	89	90	65	39	68	69	0	75	76	2	24	1	8,000,000$
3	Jason Robertson	0		X			100.00	69	43	92	78	77	77	99	86	35	84	89	65	91	68	71	0	75	76	2	25	1	7,750,000$
4	Clayton Keller	0	X	X	X		100.00	57	40	89	87	63	80	98	86	35	90	86	60	41	74	75	0	75	75	2	26	1	7,150,000$
5	Josh Norris	0	X				100.00	82	50	86	80	72	76	52	89	90	73	83	69	70	61	61	0	75	72	2	26	1	7,950,000$
6	William Eklund	0	X	X	X		100.00	69	52	88	80	66	81	94	81	35	84	73	72	70	61	61	0	75	72	0	22	1	1,500,000$
7	Trevor Zegras	0	X	X	X		100.00	73	54	87	81	69	75	74	78	50	77	72	64	92	65	65	0	75	70	1	24	2	5,750,000$
8	Mario Ferraro	0				X	100.00	84	68	80	80	75	83	95	62	25	51	48	92	25	69	69	0	75	74	2	26	1	3,250,000$
9	Andrew Peeke	0				X	100.00	79	55	93	75	79	76	93	60	25	55	47	85	25	66	67	0	75	71	1	27	1	2,750,000$
10	Cam York	0				X	100.00	73	43	88	78	70	81	83	61	25	54	48	86	25	64	64	0	75	70	0	24	2	1,600,000$
11	Vincent Desharnais	0				X	100.00	82	86	75	72	89	68	68	59	25	45	47	81	25	61	63	0	75	67	0	29	1	762,500$
Rayé
1	Axel Jonsson-Fjallby	0	X	X			100.00	77	72	88	66	72	75	80	56	70	52	56	64	53	44	45	0	75	60	0	27	0	0$
2	Michael McLeod	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	49	0	27	0	0$
3	Egor Afanasyev	0	X	X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	49	0	24	0	0$
4	Aaron Ekblad	0				X	100.00	81	56	74	77	83	88	73	80	25	73	48	84	25	78	82	0	75	75	2	29	0	0$
5	Nick DeSimone	0				X	100.00	69	43	99	70	72	67	54	58	25	59	48	67	25	50	50	0	75	61	0	30	0	0$
Équipe Mineure
1	Marco Kasper (R)	0	X				100.00	85	45	86	71	68	70	98	68	74	68	76	69	25	54	54	0	75	66	0	21	2	1,500,000$
2	Oskar Pettersson (R)	0			X		100.00	79	76	87	62	76	53	55	50	50	44	50	63	48	44	44	0	75	53	0	23	2	950,000$
3	Jakub Stancl (R)	0	X				100.00	79	74	91	60	74	55	58	48	60	46	44	63	42	44	44	0	75	53	0	20	2	835,000$
4	Jamieson Rees (R)	0	X				100.00	74	66	91	63	66	47	46	52	65	53	47	61	45	44	44	0	75	53	0	24	2	775,000$
5	Gavin Hain (R)	0	X				100.00	73	69	82	64	69	41	40	50	63	44	50	60	48	44	44	0	75	51	0	25	2	750,000$
6	J.J. Piccinich	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	29	1	750,000$
7	Sean Malone	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	30	1	750,000$
8	Dominik Bokk	0		X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	25	2	750,000$
9	Jack Badini	0	X	X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	27	1	750,000$
10	Radim Simek	0				X	100.00	75	72	82	65	72	61	64	52	25	44	41	66	39	63	63	0	75	59	0	32	1	2,250,000$
11	Ty Mueller (R)	0	X				100.00	73	67	88	68	67	77	81	61	76	60	57	63	54	44	44	0	75	60	0	22	1	870,000$
12	Keean Washkurak	0	X				100.00	69	65	78	63	65	55	56	52	65	46	53	59	50	44	44	0	75	53	0	23	0	0$
13	Cole Cassels	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	72	48	0	30	1	750,000$
14	Tyler Kelleher	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	30	1	750,000$
15	German Rubtsov	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	27	0	0$
16	Dominic Franco	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	29	0	0$
17	Shai Buium (R)	0				X	100.00	83	79	93	65	79	54	55	51	25	48	40	65	38	44	44	0	75	57	0	22	1	925,000$
18	Roman Schmidt (R)	0				X	100.00	74	82	56	62	82	59	64	44	25	31	41	59	39	44	44	0	75	54	0	22	1	450,000$
19	Chris Harpur	0				X	100.00	81	76	94	61	76	37	35	48	25	41	39	64	37	44	44	0	75	53	0	28	0	0$
20	Connor McCarthy	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	29	0	0$
21	Johannes Kinnvall	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	27	0	0$
22	Ziyat Paigin	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	30	1	750,000$
23	John Nyberg	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	28	1	750,000$
24	Ian McCoshen	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	29	0	0$
25	Ville Pokka	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	31	1	750,000$

	MOYENNE D’ÉQUIPE						100.00	65	57	72	64	64	61	63	59	49	56	55	61	47	54	55	0	75	58

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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	Marcus Hogberg	0	100.00	59	52	52	96	65	52	69	59	65	59	71	50	50	0	75	62	0	30	2	775,000$
Rayé
1	Mackenzie Blackwood	0	100.00	78	86	83	90	75	82	80	78	82	79	67	64	64	0	75	77	2	28	0	0$
Équipe Mineure
1	Aleksei Kolosov (R)	0	100.00	60	54	53	70	65	54	69	61	65	60	75	45	45	0	75	59	0	23	2	950,000$
2	Remi Poirier (R)	0	100.00	54	40	50	80	57	57	57	60	61	60	30	44	44	0	75	56	0	23	1	750,000$
3	Michael Houser	0	100.00	48	44	55	74	48	47	52	55	50	50	30	44	44	0	75	51	0	32	1	750,000$

	MOYENNE D’ÉQUIPE		100.00	60	55	59	82	62	58	65	63	65	62	55	49	49	0	75	61

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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	Ballotage forcé	Waiver Possible	Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	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
Aaron Ekblad	Pittsburgh Penguins	D	29	1996-02-07	CAN	No	220 Lbs	6 ft4	No	No	N/A	No	No	0	False	False	Pro Only		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Andrew Peeke	Pittsburgh Penguins	D	27	1998-03-17	USA	No	214 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro Only	2,750,000$	2,750,000$	2,750,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Axel Jonsson-Fjallby	Pittsburgh Penguins	C/LW	27	1998-02-10	SWE	No	198 Lbs	6 ft1	No	No	N/A	No	No	0	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Bo Horvat	Pittsburgh Penguins	C/LW/RW	30	1995-04-05	CAN	No	215 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro Only	8,500,000$	8,500,000$	8,500,000$	No	8,500,000$	-	-	-	-	-	-	-	-	8,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Cam York	Pittsburgh Penguins	D	24	2001-01-05	USA	No	194 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro Only	1,600,000$	1,600,000$	1,600,000$	No	1,600,000$	-	-	-	-	-	-	-	-	1,600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Clayton Keller	Pittsburgh Penguins	C/LW/RW	26	1998-07-29	USA	No	175 Lbs	5 ft10	No	No	N/A	No	No	1	False	False	Pro Only	7,150,000$	7,150,000$	7,150,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Egor Afanasyev	Pittsburgh Penguins	C/LW	24	2001-01-23	RUS	No	205 Lbs	6 ft2	No	No	N/A	No	No	0	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jack Hughes	Pittsburgh Penguins	C/LW/RW	24	2001-05-14	USA	No	175 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro Only	8,000,000$	8,000,000$	8,000,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jason Robertson	Pittsburgh Penguins	LW	25	1999-07-22	USA	No	207 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro Only	7,750,000$	7,750,000$	7,750,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Josh Norris	Pittsburgh Penguins	C	26	1999-05-05	USA	No	192 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro Only	7,950,000$	7,950,000$	7,950,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Mackenzie Blackwood	Pittsburgh Penguins	G	28	1996-12-09	CAN	No	225 Lbs	6 ft4	No	No	N/A	No	No	0	False	False	Pro Only		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Marcus Hogberg	Pittsburgh Penguins	G	30	1994-11-25	SWE	No	234 Lbs	6 ft5	No	No	N/A	No	No	2	False	False	Pro & Farm	775,000$	775,000$	775,000$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Mario Ferraro	Pittsburgh Penguins	D	26	1998-09-17	CAN	No	209 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro Only	3,250,000$	3,250,000$	3,250,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Michael McLeod	Pittsburgh Penguins	C	27	1998-02-03	CAN	No	187 Lbs	6 ft2	No	No	N/A	No	No	0	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Nick DeSimone	Pittsburgh Penguins	D	30	1994-11-21	USA	No	194 Lbs	6 ft2	No	No	N/A	No	No	0	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Trevor Zegras	Pittsburgh Penguins	C/LW/RW	24	2001-03-20	USA	No	185 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro Only	5,750,000$	5,750,000$	5,750,000$	No	5,750,000$	-	-	-	-	-	-	-	-	5,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Vincent Desharnais	Pittsburgh Penguins	D	29	1996-05-29	CAN	No	226 Lbs	6 ft7	No	No	N/A	No	No	1	False	False	Pro Only	762,500$	762,500$	762,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
William Eklund	Pittsburgh Penguins	C/LW/RW	22	2002-10-12	SWE	No	181 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro Only	1,500,000$	1,500,000$	1,500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
18	26.56	202 Lbs	6 ft2	0.89	3,096,528$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
55,737,500$	16,625,000$	0$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jason Robertson	Trevor Zegras	Clayton Keller	30	1	2	2
2	William Eklund	Jack Hughes		30	1	2	2
3	Bo Horvat	Josh Norris		25	1	2	2
4	Bo Horvat			15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Andrew Peeke	30	1	2	2
2	Mario Ferraro	Cam York	30	1	2	2
3		Vincent Desharnais	25	1	2	2
4			15	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jason Robertson		Clayton Keller	50	1	2	2
2	William Eklund	Trevor Zegras		50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1			50	1	2	2
2	Vincent Desharnais	Cam York	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1			50	1	2	2
2	Jason Robertson	Trevor Zegras	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Vincent Desharnais	50	1	2	2
2		Cam York	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1		50	1	2	2	Vincent Desharnais		50	1	2	2
2	Jason Robertson	50	1	2	2		Cam York	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1			50	1	2	2
2	Jason Robertson	William Eklund	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Vincent Desharnais		50	1	2	2
2		Cam York	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jason Robertson	Trevor Zegras	Clayton Keller	Mario Ferraro

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jason Robertson	Trevor Zegras	Clayton Keller	Mario Ferraro

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, , Jason Robertson	Jason Robertson,	Jason Robertson

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Vincent Desharnais, , Cam York	Cam York	Cam York,

Tirs de pénalité
, William Eklund, Jason Robertson, Trevor Zegras,

Gardien
#1 : , #2 :

Lignes d’attaque personnalisées en prolongation
Trevor Zegras, Jason Robertson, Clayton Keller, Josh Norris, , , , , Bo Horvat, William Eklund,

Lignes de défense personnalisées en prolongation
, Vincent Desharnais, Mario Ferraro, Cam York, Andrew Peeke

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	0	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
0	0	0%	0	0	0%	0

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
0	0	0	0	0	0	0	0

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
0	0	0%	0	0	0%	0	0	0%

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
0	0	0	0	0	0

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	SO	RI	Lien

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6387	5000	2000	4000	1000
Prix des billets	140	80	50	35	250
Assistance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0%	0$	0$	18387	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	55,737,500$	53,437,500$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	12	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	140,907,196$	140,907,196$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	88,000,000$	88,000,000$	-65,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Bo Horvat	AGE:30	PO:0	OV:78
Jack Hughes	AGE:24	PO:0	OV:76
Jason Robertson	AGE:25	PO:0	OV:76
Clayton Keller	AGE:26	PO:0	OV:75
William Eklund	AGE:22	PO:0	OV:72
Trevor Zegras	AGE:24	PO:0	OV:70
Axel Jonsson-Fjallby	AGE:27	PO:0	OV:60
Egor Afanasyev	AGE:24	PO:0	OV:49
Dominik Bokk	AGE:25	PO:0	OV:48
Jack Badini	AGE:27	PO:0	OV:48

Bo Horvat	AGE:30	PO:0	OV:78
Jack Hughes	AGE:24	PO:0	OV:76
Clayton Keller	AGE:26	PO:0	OV:75
Josh Norris	AGE:26	PO:0	OV:72
William Eklund	AGE:22	PO:0	OV:72
Trevor Zegras	AGE:24	PO:0	OV:70
Marco Kasper (R)	AGE:21	PO:0	OV:66
Ty Mueller (R)	AGE:22	PO:0	OV:60
Axel Jonsson-Fjallby	AGE:27	PO:0	OV:60
Jakub Stancl (R)	AGE:20	PO:0	OV:53
Keean Washkurak	AGE:23	PO:0	OV:53
Jamieson Rees (R)	AGE:24	PO:0	OV:53
Gavin Hain (R)	AGE:25	PO:0	OV:51
Michael McLeod	AGE:27	PO:0	OV:49
Egor Afanasyev	AGE:24	PO:0	OV:49
Cole Cassels	AGE:30	PO:0	OV:48
Sean Malone	AGE:30	PO:0	OV:48
German Rubtsov	AGE:27	PO:0	OV:48
Dominic Franco	AGE:29	PO:0	OV:48
Jack Badini	AGE:27	PO:0	OV:48

Bo Horvat	AGE:30	PO:0	OV:78
Jack Hughes	AGE:24	PO:0	OV:76
Clayton Keller	AGE:26	PO:0	OV:75
William Eklund	AGE:22	PO:0	OV:72
Trevor Zegras	AGE:24	PO:0	OV:70
Oskar Pettersson (R)	AGE:23	PO:0	OV:53
J.J. Piccinich	AGE:29	PO:0	OV:48
Tyler Kelleher	AGE:30	PO:0	OV:48
Dominik Bokk	AGE:25	PO:0	OV:48

Défense #1

Défense #2

Gardien

Aaron Ekblad	AGE:29	PO:0	OV:75
Mario Ferraro	AGE:26	PO:0	OV:74
Andrew Peeke	AGE:27	PO:0	OV:71
Cam York	AGE:24	PO:0	OV:70
Vincent Desharnais	AGE:29	PO:0	OV:67
Nick DeSimone	AGE:30	PO:0	OV:61
Radim Simek	AGE:32	PO:0	OV:59
Shai Buium (R)	AGE:22	PO:0	OV:57

Roman Schmidt (R)	AGE:22	PO:0	OV:54
Chris Harpur	AGE:28	PO:0	OV:53
Connor McCarthy	AGE:29	PO:0	OV:48
Johannes Kinnvall	AGE:27	PO:0	OV:48
Ziyat Paigin	AGE:30	PO:0	OV:48
John Nyberg	AGE:28	PO:0	OV:48
Ian McCoshen	AGE:29	PO:0	OV:48
Ville Pokka	AGE:31	PO:0	OV:48

Mackenzie Blackwood	AGE:28	PO:0	OV:77
Marcus Hogberg	AGE:30	PO:0	OV:62
Aleksei Kolosov (R)	AGE:23	PO:0	OV:59
Remi Poirier (R)	AGE:23	PO:0	OV:56
Michael Houser	AGE:32	PO:0	OV:51

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
Alexandr Darin	Pittsburgh Penguins	2019	127
Billy Constantinou	Pittsburgh Penguins	2019	174
Connor Hall	Pittsburgh Penguins	2016	95
Connor Hvidston	Pittsburgh Penguins	2022	160
Connor McClennon	Pittsburgh Penguins	2020	140
Cooper Moore	Pittsburgh Penguins	2019	171
Daimon Gardner	Pittsburgh Penguins	2022	137
Denis Gabdrakhmanov	Pittsburgh Penguins	2024	208
Dmitry Gamzin	Pittsburgh Penguins	2024	112
Emmitt Finnie	Pittsburgh Penguins	2023	212
Eric Pohlkamp	Pittsburgh Penguins	2023	148
Frederik Dichow	Pittsburgh Penguins	2019	163
Garin Bjorklund	Pittsburgh Penguins	2020	204
Ivan Yunin	Pittsburgh Penguins	2024	144
Jakub Vondras	Pittsburgh Penguins	2022	200
Jared Wright	Pittsburgh Penguins	2022	192
Malte Setkov	Pittsburgh Penguins	2017	128
Pavel Moysevich	Pittsburgh Penguins	2024	80
Rudy Guimond	Pittsburgh Penguins	2023	180
Trevor Connelly	Pittsburgh Penguins	2024	16
Vyacheslav Peksa	Pittsburgh Penguins	2021	197
Yaroslav Korostelyov	Pittsburgh Penguins	2024	176
Yegor Yegorov	Pittsburgh Penguins	2023	188
Yevgeni Volokhin	Pittsburgh Penguins	2023	162

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2025	PIT		PIT	PIT	PIT	PIT	PIT
2026	PIT	PIT CAR	PIT		PIT	PIT	PIT
2027	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2028	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2029	PIT	PIT	PIT	PIT	PIT	PIT	PIT
Choix au repêchage conditionnel

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

Pittsburgh Penguins Historique de transactions

[07.07.2025 17:18:39] - Ty Mueller was added to Pittsburgh Penguins.
[07.07.2025 17:17:07] - Shai Buium was added to Pittsburgh Penguins.
[07.07.2025 17:16:18] - Roman Schmidt was added to Pittsburgh Penguins.
[07.07.2025 17:13:01] - Jakub Stancl was added to Pittsburgh Penguins.
[07.07.2025 17:01:51] - Benjamin Mirageas has been deleted from Pittsburgh Penguins.
[07.07.2025 17:01:31] - Alfons Malmstrom has been deleted from Pittsburgh Penguins.
[07.07.2025 12:06:31] - David Rittich was released.
[07.07.2025 12:06:31] - Pittsburgh Penguins paid 0 € to release David Rittich.
[07.07.2025 12:06:26] - Clifford Watson was released.
[07.07.2025 12:06:26] - Pittsburgh Penguins paid 0 € to release Clifford Watson.
[07.07.2025 12:06:22] - Cody Hodgson was released.
[07.07.2025 12:06:22] - Pittsburgh Penguins paid 0 € to release Cody Hodgson.
[07.07.2025 12:06:18] - Nick Shore was released.
[07.07.2025 12:06:18] - Pittsburgh Penguins paid 0 € to release Nick Shore.
[07.07.2025 12:06:14] - Tyler Spezia was released.
[07.07.2025 12:06:14] - Pittsburgh Penguins paid 0 € to release Tyler Spezia.
[07.07.2025 12:06:10] - Aaron Ness was released.
[07.07.2025 12:06:10] - Pittsburgh Penguins paid 0 € to release Aaron Ness.
[07.07.2025 12:06:07] - Josh Archibald was released.
[07.07.2025 12:06:07] - Pittsburgh Penguins paid 0 € to release Josh Archibald.
[07.07.2025 12:05:54] - Cam Fowler was released.
[07.07.2025 12:05:54] - Pittsburgh Penguins paid 0 € to release Cam Fowler.
[07.07.2025 12:05:50] - T.J. Oshie was released.
[07.07.2025 12:05:50] - Pittsburgh Penguins paid 0 € to release T.J. Oshie.

[07.07.2025 23:21:36] Michael Houser of Pittsburgh Penguins was sent to farm.
[07.07.2025 23:21:31] Marcus Hogberg of Pittsburgh Penguins was sent to pro.
[07.07.2025 23:20:20] Cole Cassels of Pittsburgh Penguins was sent down to farm.
[07.07.2025 23:16:43] Salt Lake City Lynx roster errors : Not enough Left Wings available in Farm Team! 2 Dressed. 4 Required. Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 8 Dressed. 11 Required. Not enough Defenseman available in Farm Team! 1 Dressed. 6 Required. Not enough Players available in Farm Team! 9 Dressed. 18 Required. Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[07.07.2025 23:16:43] Pittsburgh Penguins roster errors : Not enough Forward available in Pro Team! 7 Dressed. 11 Required. Not enough Defenseman available in Pro Team! 4 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 11 Dressed. 18 Required. Some errors will be automatically fixed.
[07.07.2025 17:18:39] Ty Mueller was added to Pittsburgh Penguins.
[07.07.2025 17:17:07] Shai Buium was added to Pittsburgh Penguins.
[07.07.2025 17:16:18] Roman Schmidt was added to Pittsburgh Penguins.
[07.07.2025 17:13:01] Jakub Stancl was added to Pittsburgh Penguins.
[07.07.2025 17:01:51] Benjamin Mirageas has been deleted from Pittsburgh Penguins.
[07.07.2025 17:01:31] Alfons Malmstrom has been deleted from Pittsburgh Penguins.
[07.07.2025 12:06:31] David Rittich was released by Pittsburgh Penguins.
[07.07.2025 12:06:31] Pittsburgh Penguins paid 0 € to release David Rittich.
[07.07.2025 12:06:26] Clifford Watson was released by Pittsburgh Penguins.
[07.07.2025 12:06:26] Pittsburgh Penguins paid 0 € to release Clifford Watson.
[07.07.2025 12:06:22] Cody Hodgson was released by Pittsburgh Penguins.
[07.07.2025 12:06:22] Pittsburgh Penguins paid 0 € to release Cody Hodgson.
[07.07.2025 12:06:18] Nick Shore was released by Pittsburgh Penguins.
[07.07.2025 12:06:18] Pittsburgh Penguins paid 0 € to release Nick Shore.
[07.07.2025 12:06:14] Tyler Spezia was released by Pittsburgh Penguins.
[07.07.2025 12:06:14] Pittsburgh Penguins paid 0 € to release Tyler Spezia.
[07.07.2025 12:06:10] Aaron Ness was released by Pittsburgh Penguins.
[07.07.2025 12:06:10] Pittsburgh Penguins paid 0 € to release Aaron Ness.
[07.07.2025 12:06:07] Josh Archibald was released by Pittsburgh Penguins.
[07.07.2025 12:06:07] Pittsburgh Penguins paid 0 € to release Josh Archibald.
[07.07.2025 12:05:54] Cam Fowler was released by Pittsburgh Penguins.
[07.07.2025 12:05:54] Pittsburgh Penguins paid 0 € to release Cam Fowler.
[07.07.2025 12:05:50] T.J. Oshie was released by Pittsburgh Penguins.
[07.07.2025 12:05:50] Pittsburgh Penguins paid 0 € to release T.J. Oshie.
[07.07.2025 12:05:47] Salt Lake City Lynx roster errors : Not enough Left Wings available in Farm Team! 2 Dressed. 4 Required. Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 8 Dressed. 11 Required. Not enough Defenseman available in Farm Team! 1 Dressed. 6 Required. Not enough Players available in Farm Team! 9 Dressed. 18 Required. Some errors will be automatically fixed.
[07.07.2025 12:05:47] Pittsburgh Penguins roster errors : Not enough Forward available in Pro Team! 7 Dressed. 11 Required. Not enough Defenseman available in Pro Team! 4 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 11 Dressed. 18 Required. Some errors will be automatically fixed.

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
1	Clayton Keller	326	96	147	243	-4	142	401	424	984	9.76%	126	6369	19.54	34	50	84	132	4	3	7	16	17	9	35.88%	0	0.76	7	39
2	Bo Horvat	300	104	132	236	-3	98	435	510	906	11.48%	122	5842	19.48	29	47	76	81	2	3	5	13	12	10	56.50%	3	0.81	11	48
3	Jason Robertson	328	75	96	171	-2	68	373	295	725	10.34%	105	5121	15.61	17	28	45	73	4	1	5	16	7	9	31.47%	1	0.67	8	33
4	Jack Hughes	307	68	101	169	-27	18	248	342	785	8.66%	95	4953	16.13	7	23	30	56	0	1	1	6	11	6	43.29%	0	0.68	2	5
5	T.J. Oshie	233	62	82	144	3	199	348	220	576	10.76%	59	3814	16.37	16	24	40	53	2	2	4	14	12	6	42.78%	0	0.75	3	7

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
1	Frederik Andersen	115	62	40	10	0.918	2.40	6668	4	3	267	3267	1686	6	5	0.793	82
2	Mackenzie Blackwood	133	54	49	18	0.911	2.63	7623	8	2	334	3774	2093	3	4	0.742	93
3	David Rittich	57	20	28	6	0.898	3.10	3215	2	1	166	1624	888	2	0	0.650	20
4	Marcus Hogberg	42	14	22	5	0.904	2.90	2463	0	1	119	1238	675	0	1	0.808	26

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
Saison régulière
2020	82	20	40	0	4	4	9	5	180	229	-49	41	11	17	0	2	3	4	4	96	112	-16	41	9	23	0	2	1	5	1	84	117	-33	75	180	278	458	3	3	46	49	72	17	2203	643	732	813	57	2537	802	490	1583	235	40	17.02%	235	53	77.45%	1	713	1530	46.60%	893	1783	50.08%	566	1076	52.60%	1608	835	1820	799	1568	788
2022	82	34	27	0	1	0	8	12	227	212	15	41	13	15	0	1	0	3	9	112	116	-4	41	21	12	0	0	0	5	3	115	96	19	98	227	378	605	3	2	45	82	91	13	2509	781	814	901	86	2397	810	537	1633	289	67	23.18%	253	59	76.68%	7	843	1803	46.76%	837	1709	48.98%	568	1079	52.64%	1818	1042	1705	759	1496	751
2023	82	30	34	0	3	0	9	6	221	237	-16	41	14	18	0	1	0	5	3	107	119	-12	41	16	16	0	2	0	4	3	114	118	-4	90	221	363	584	3	1	44	81	84	19	2315	630	817	848	75	2452	814	602	1583	270	60	22.22%	240	67	72.08%	4	872	1673	52.12%	755	1549	48.74%	613	1132	54.15%	1723	946	1752	757	1524	772
2024	82	26	38	0	3	3	3	9	208	250	-42	41	15	16	0	2	2	1	5	113	130	-17	41	11	22	0	1	1	2	4	95	120	-25	76	208	341	549	1	1	43	65	94	12	2293	714	737	832	59	2527	802	603	1571	257	45	17.51%	251	63	74.90%	5	756	1609	46.99%	704	1583	44.47%	498	1128	44.15%	1676	902	1758	775	1549	780
Total Saison régulière	328	110	139	0	11	7	29	32	836	928	-92	164	53	66	0	6	5	13	21	428	477	-49	164	57	73	0	5	2	16	11	408	451	-43	339	836	1360	2196	10	7	178	277	341	61	9320	2768	3100	3394	277	9913	3228	2232	6370	1051	212	20.17%	979	242	75.28%	17	3184	6615	48.13%	3189	6624	48.14%	2245	4415	50.85%	6826	3727	7037	3091	6139	3092
Séries éliminatoires
Total Séries éliminatoires											0											0	0	0	0	0	0	0	0	0	0	0	0																						0%			0%				0%			0%			0%	0	0	0	0	0	0

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: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: Stephan \| Morale : 99 \| Moyenne d’équipe : 69