Wilkes-Barre/Scranton Penguins
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Centre de jeu
	New York Rangers 8-8-2, 18pts	4	FINAL	1	Pittsburgh Penguins 4-12-3, 11pts

Team Stats
L1	Streak	L6
2-2-2	Home Record	2-6-2
6-6-0	Away Record	2-6-1
6-4-0	Last 10 Games	2-6-2
2.61	Buts par match	1.00
2.67	Buts contre par match	3.00
12.24%	Pourcentage en avantage numérique	8.70%
82.14%	Pourcentage en désavantage numérique	80.77%

Pittsburgh Penguins
4-12-3, 11pts

FINAL

Buffalo Sabres
15-3-2, 32pts

Team Stats
L6	Streak	W1
2-6-2	Home Record	9-1-0
2-6-1	Away Record	6-2-2
2-6-2	Last 10 Games	7-2-1
1.00	Buts par match	3.40
3.00	Buts contre par match	2.05
8.70%	Pourcentage en avantage numérique	23.73%
80.77%	Pourcentage en désavantage numérique	79.66%

Toronto Maple Leafs
14-2-2, 30pts

2023-11-16

Pittsburgh Penguins
4-12-3, 11pts

Statistiques d’équipe
W6	Séquence	L6
8-0-1	Fiche domicile	2-6-2
6-2-1	Fiche visiteur	2-6-1
9-0-1	10 derniers matchs	2-6-2
3.11	Buts par match	1.00
2.11	Buts contre par match	1.00
14.29%	Pourcentage en avantage numérique	8.70%
88.24%	Pourcentage en désavantage numérique	80.77%

Pittsburgh Penguins
4-12-3, 11pts

2023-11-19

Nashville Predators
9-8-2, 20pts

Statistiques d’équipe
L6	Séquence	L2
2-6-2	Fiche domicile	6-3-1
2-6-1	Fiche visiteur	3-5-1
2-6-2	10 derniers matchs	4-6-0
1.00	Buts par match	2.89
3.00	Buts contre par match	2.89
8.70%	Pourcentage en avantage numérique	18.60%
80.77%	Pourcentage en désavantage numérique	80.70%

Pittsburgh Penguins
4-12-3, 11pts

2023-11-21

Tampa Bay Lightning
10-8-3, 23pts

Statistiques d’équipe
L6	Séquence	W1
2-6-2	Fiche domicile	7-4-0
2-6-1	Fiche visiteur	3-4-3
2-6-2	10 derniers matchs	6-4-0
1.00	Buts par match	2.86
3.00	Buts contre par match	2.86
8.70%	Pourcentage en avantage numérique	22.97%
80.77%	Pourcentage en désavantage numérique	79.25%

Meneurs d'équipe
	Buts Mathew Barzal 5	Passes Mikael Backlund 7

	Points Mikael Backlund 10	Plus/Moins Mikael Backlund -1

	Victoires Anton Forsberg 4	Pourcentage d’arrêts Anton Forsberg 0.932

Statistiques d’équipe
Buts pour 19 1.00 GFG	Tirs pour 461 24.26 Avg	Pourcentage en avantage numérique 8.7% 4 GF	Début de zone offensive 32.5%
Buts contre 57 3.00 GAA	Tirs contre 681 35.84 Avg	Pourcentage en désavantage numérique 80.8%% 15 GA	Début de la zone défensive 45.5%

Informations de l'équipe
	Directeur général	Marc Antoine Plante
	Entraîneur	Alex Tanguay
	Division	METROPOLITAINE
	Conférence	EASTERN CONFERENCE
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	PPG Paints Arena
	Capacité	18,000
	Assistance	17,576
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	24
	Limite contact	47 / 100
	Espoirs	31
Plafond salarial
	Cap Salarial de la Saison estimé	67,924,472$
	Plafond salarial disponible	15,575,528$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	18,458,129$
	Dépenses annuelles à ce jour	16,644,534$
	Revenus de la saison estimés	57,220,200$
	Dépenses de la saison estimées	52,829,954$
	Compte bancaire actuel	128,951,167$
	Compte bancaire projeté	130,053,205$

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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 moyen
1	Mathew Barzal	0	X	X	X		100.00	61	47	88	86	77	89	85	84	72	80	71	62	76	70	72	81	30	71	2	26	3	7,000,000$
2	Mikael Backlund	0	X	X	X		99.00	67	40	85	74	76	88	90	74	81	72	68	81	72	86	81	56	30	70	2	34	3	8,000,000$
3	Dylan Cozens	0	X		X		100.00	67	45	77	77	83	87	90	75	77	73	72	69	78	64	67	90	30	69	2	22	4	7,000,000$
4	Nick Bonino	0	X	X	X		99.00	55	40	91	68	76	89	97	67	80	62	68	86	65	87	82	31	27	68	0	35	2	4,250,000$
5	Kevin Labanc	0	X	X	X		100.00	66	45	75	75	70	87	88	76	55	68	65	62	73	76	74	47	28	66	0	27	3	4,500,000$
6	Tomas Nosek	0	X	X	X		100.00	66	41	89	64	81	87	86	64	86	66	59	81	63	82	76	76	27	66	0	31	2	2,700,000$
7	Eeli Tolvanen	0			X		100.00	85	43	94	74	70	85	86	68	56	66	69	62	66	68	70	71	27	66	2	24	1	2,000,000$
8	Morgan Frost	0	X		X		100.00	66	41	92	76	67	86	90	72	78	69	67	65	71	67	67	74	29	66	2	24	1	1,500,000$
9	Ryan McLeod	0	X				100.00	67	47	90	74	83	80	85	66	78	65	64	72	67	66	68	71	27	66	0	24	1	1,500,000$
10	Sammy Blais	0		X	X		100.00	90	50	78	68	82	80	76	64	53	63	64	65	61	67	59	76	28	63	0	27	1	1,500,000$
11	Paul Cotter	0	X		X		100.00	83	46	91	69	77	80	83	66	70	59	67	59	63	66	67	54	26	63	1	24	3	3,000,000$
12	Reese Johnson	0	X		X		100.00	90	56	77	60	76	77	79	59	81	61	59	71	58	67	65	61	29	62	0	25	1	750,000$
13	Erik Gustafsson	0				X	100.00	78	65	74	65	94	90	88	59	30	67	58	88	55	82	75	45	25	72	2	31	2	3,500,000$
14	Torey Krug	47				X	99.00	64	41	81	75	67	90	84	74	30	79	68	77	61	85	79	28	18	70	0	32	3	6,000,000$
15	Filip Hronek	0				X	98.00	68	45	74	73	76	92	87	72	30	79	65	78	58	72	70	63	27	70	2	26	2	4,000,000$
16	Austin Strand	0				X	100.00	74	50	85	63	89	82	78	63	30	64	57	66	60	73	70	54	28	65	0	26	1	1,000,000$
17	Madison Bowey	0				X	100.00	72	42	80	67	82	85	80	64	30	68	58	59	53	74	69	66	26	64	2	28	2	850,000$
18	Victor Mete	0				X	100.00	57	40	87	71	67	82	69	66	30	66	58	66	51	66	67	65	28	63	0	25	2	1,750,000$
Rayé
1	Brett Leason	0		X	X		100.00	75	46	91	62	95	84	83	63	50	57	61	56	54	66	67	65	25	61	2	24	3	1,000,000$
2	Filip Roos (R)	0				X	100.00	71	55	77	66	84	83	75	63	30	62	61	75	66	55	71	69	27	66	0	24	1	775,000$
3	Samuel Bolduc (R)	0				X	100.00	78	58	77	63	90	83	84	60	30	62	63	70	60	64	64	85	27	66	0	22	3	850,000$
Équipe Mineure
1	Jeffrey Viel	0		X	X		100.00	80	81	49	64	81	84	81	65	60	61	63	62	62	67	69	71	59	64	0	26	1	850,000$
2	Matt Rempe (R)	0	X	X			100.00	99	77	75	60	99	77	78	56	60	56	59	61	56	56	56	54	65	62	0	21	3	833,000$
3	Lauri Pajuniemi (R)	0	X		X		100.00	66	55	77	62	74	84	82	61	63	61	61	64	60	63	56	74	54	62	0	24	3	775,000$
4	Benoit Olivier Groulx	0	X				100.00	70	42	82	60	83	88	83	56	80	56	57	60	65	66	66	71	56	61	0	23	2	950,000$
5	Daniel Walcott	0		X	X		100.00	63	64	58	60	78	84	77	57	61	57	56	64	57	70	70	45	46	60	0	29	2	800,000$
6	Mathias Emilio Pettersen (R)	0	X				100.00	66	45	77	62	61	77	76	56	60	56	57	61	60	61	61	76	56	59	0	23	3	900,000$
7	Josh Dickinson	0	X		X		100.00	62	42	88	58	78	77	72	57	65	56	60	59	57	66	63	62	53	59	0	26	1	950,000$
8	Matthew Strome	0		X			100.00	77	44	89	63	91	73	72	53	51	54	55	59	56	64	65	70	51	59	2	24	2	850,000$
9	Blake McLaughlin (R)	0		X			100.00	65	55	78	60	67	72	75	58	30	53	59	54	52	57	58	75	52	57	2	23	1	833,000$
10	Chaz Lucius (R)	0	X				100.00	65	39	78	60	77	77	61	58	62	57	57	55	60	57	42	88	51	57	2	20	2	925,000$
11	Nikita Pavlychev	0	X				100.00	69	45	61	55	60	72	78	54	55	57	58	55	44	62	61	42	51	57	0	26	1	750,000$
12	Patrick Guay (R)	0	X	X			100.00	55	45	60	55	67	68	70	55	55	52	50	54	50	50	55	60	40	54	0	21	1	725,000$
13	Brayden Pachal (R)	0				X	100.00	65	49	83	66	78	83	82	65	30	63	62	70	49	66	66	59	54	66	0	24	2	950,000$
14	Kevin Korchinski (R)	0				X	100.00	70	45	60	68	70	79	78	66	30	66	64	75	60	46	51	89	53	65	2	19	3	925,000$
15	Brady Lyle	0				X	100.00	76	60	69	60	81	77	70	63	30	55	52	61	60	64	64	73	52	62	0	24	2	950,000$
16	Brian Lashoff	0				X	100.00	65	47	90	59	86	81	82	56	30	55	58	57	52	81	71	43	53	62	0	33	1	950,000$
17	Colton Poolman	0				X	100.00	64	45	67	60	74	75	77	60	30	56	59	63	60	58	57	75	46	61	0	27	2	1,000,000$
18	Stanislav Svozil (R)	0				X	100.00	77	45	66	62	67	72	77	60	30	61	55	60	56	56	56	77	53	61	2	20	3	833,000$
19	Reilly Walsh (R)	0				X	100.00	58	55	62	59	72	70	75	59	30	66	54	65	55	65	65	73	51	61	0	24	1	750,000$
20	Artemi Kniazev	0				X	100.00	61	35	60	61	68	79	83	53	30	57	56	62	60	62	42	75	45	60	2	22	1	789,167$
21	Givani Smith	0		X	X		100.00	77	83	68	60	88	74	79	63	57	61	60	64	60	65	60	83	47	62	2	25	1	1,000,000$

	MOYENNE D’ÉQUIPE						99.76	71	47	83	70	79	85	84	68	55	67	64	70	63	72	70	63	27	66

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 moyen
1	Anton Forsberg	0	100.00	91	90	85	82	89	92	92	90	90	91	90	74	86	52	38	85	0	30	3	3,500,000$
2	Dustin Wolf (R)	0	99.00	78	74	72	70	77	76	77	77	76	78	77	62	67	76	32	71	0	22	3	1,000,000$
Rayé
Équipe Mineure
1	Jean Francois Berube	1	100.00	73	72	74	73	70	73	73	73	72	70	71	69	61	56	63	70	0	32	1	1,100,000$
2	Dylan Garand (R)	0	100.00	71	74	74	70	71	69	70	70	71	74	71	61	65	77	56	69	0	21	1	750,000$
3	Leevi Merilainen (R)	0	100.00	70	70	70	76	70	68	66	62	67	62	60	55	50	80	31	65	2	21	3	833,000$

	MOYENNE D’ÉQUIPE		99.50	85	82	79	76	83	84	85	84	83	85	84	68	77	64	35	78

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Alex Tanguay	65	62	66	67	66	61	82	CAN	43	3	1,550,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSG	PSS	FT	S2	S3
1	Mikael Backlund	Pittsburgh Penguins	C/LW/RW	19	3	7	10	-1	4	0	24	22	46	17	39	6.52%	14	354	18.64	1	1	2	8	42	0	1	1	3	82	0	1	53.85%	26	24	13	0.56	0	1	0	1	0
2	Mathew Barzal	Pittsburgh Penguins	C/LW/RW	19	5	3	8	-5	2	0	21	17	48	16	37	10.42%	7	291	15.33	1	2	3	8	43	0	0	0	0	14	1	1	47.99%	273	23	3	0.55	0	1	0	2	1
3	Filip Hronek	Pittsburgh Penguins	D	19	0	6	6	-9	26	0	22	31	27	24	19	0.00%	31	502	26.44	0	1	1	0	41	0	0	0	0	67	0	0	0.00%	0	29	23	0.24	0	0	0	0	0
4	Dylan Cozens	Pittsburgh Penguins	C/RW	19	3	2	5	-2	8	0	29	19	37	23	24	8.11%	3	258	13.59	0	2	2	3	33	0	0	0	0	0	1	0	50.28%	181	13	9	0.39	0	1	0	0	3
5	Nick Bonino	Pittsburgh Penguins	C/LW/RW	19	2	2	4	-9	2	0	15	24	39	17	27	5.13%	18	351	18.48	0	1	1	1	33	0	0	0	2	75	0	0	47.41%	116	18	9	0.23	0	0	0	1	0
6	Kevin Labanc	Pittsburgh Penguins	C/LW/RW	19	1	2	3	-3	20	0	22	6	33	7	15	3.03%	8	243	12.84	0	0	0	0	2	1	0	1	2	12	0	0	50.00%	16	16	4	0.25	0	1	0	0	0
7	Torey Krug	Pittsburgh Penguins	D	19	1	2	3	-10	20	0	11	24	48	14	20	2.08%	27	360	18.99	1	0	1	8	33	0	0	0	0	26	0	0	0.00%	0	15	16	0.17	0	0	0	0	1
8	Eeli Tolvanen	Pittsburgh Penguins	RW	19	0	3	3	-4	2	0	27	13	15	2	19	0.00%	7	269	14.16	0	1	1	2	41	0	0	0	0	0	0	0	31.58%	19	17	4	0.22	1	1	0	0	0
9	Morgan Frost	Pittsburgh Penguins	C/RW	19	2	1	3	-3	0	0	18	8	15	10	12	13.33%	2	256	13.52	1	0	1	2	33	0	0	0	0	2	1	0	32.26%	31	9	3	0.23	0	0	0	1	0
10	Erik Gustafsson	Pittsburgh Penguins	D	19	0	1	1	-10	44	20	21	51	15	6	11	0.00%	43	494	26.04	0	0	0	0	41	0	0	0	1	71	0	0	0.00%	0	1	20	0.04	0	0	3	0	0
11	Tomas Nosek	Pittsburgh Penguins	C/LW/RW	19	0	1	1	-7	0	0	15	16	14	5	10	0.00%	4	267	14.07	0	0	0	0	2	0	0	0	2	34	0	0	69.57%	23	2	5	0.07	0	0	0	0	0
12	Victor Mete	Pittsburgh Penguins	D	16	0	1	1	-3	2	0	4	10	9	4	3	0.00%	18	259	16.22	0	0	0	0	25	0	1	1	0	36	0	0	0.00%	0	2	7	0.08	0	0	0	0	0
13	Brayden Pachal	Wilkes-Barre/Scranton Penguins (PIT)	D	1	0	1	1	0	0	0	1	2	0	0	0	0.00%	3	9	9.45	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	2.12	0	0	0	0	0
14	Paul Cotter	Pittsburgh Penguins	C/RW	19	1	0	1	-12	2	0	18	8	22	6	18	4.55%	3	238	12.54	0	0	0	0	0	0	0	0	0	0	0	0	18.18%	11	8	2	0.08	0	0	0	0	0
15	Reese Johnson	Pittsburgh Penguins	C/RW	19	0	1	1	-12	12	0	18	15	21	5	11	0.00%	6	238	12.58	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	6	4	1	0.08	0	0	0	0	0
16	Ryan McLeod	Pittsburgh Penguins	C	19	1	0	1	-8	2	0	10	18	24	9	16	4.17%	1	249	13.15	0	0	0	0	0	0	0	0	1	18	1	0	50.24%	207	14	5	0.08	0	1	0	1	0
17	Filip Roos	Pittsburgh Penguins	D	4	0	0	0	-3	6	0	2	6	1	2	1	0.00%	6	64	16.02	0	0	0	0	1	0	0	0	0	15	0	0	0.00%	0	2	2	0.00%	0	0	0	0	0
18	Madison Bowey	Pittsburgh Penguins	D	19	0	0	0	-7	12	0	13	12	7	0	4	0.00%	13	301	15.88	0	0	0	0	2	0	0	0	0	52	0	0	0.00%	0	0	13	0.00%	0	0	0	0	0
19	Sammy Blais	Pittsburgh Penguins	LW/RW	19	0	0	0	-12	8	0	27	19	30	10	18	0.00%	6	273	14.40	0	0	0	0	0	0	0	0	1	30	0	0	34.20%	193	12	2	0.00%	0	0	0	0	0
20	Austin Strand	Pittsburgh Penguins	D	16	0	0	0	-8	11	5	5	9	7	4	6	0.00%	18	243	15.21	0	0	0	1	2	0	0	0	0	0	0	0	0.00%	0	0	6	0.00%	0	0	1	0	0
21	Samuel Bolduc	Pittsburgh Penguins	D	4	0	0	0	-1	4	0	3	8	3	0	0	0.00%	3	58	14.55	0	0	0	0	4	0	0	0	0	1	0	0	0.00%	0	0	3	0.00%	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				345	19	33	52	-129	187	25	326	338	461	181	310	4.12%	241	5586	16.19	4	8	12	33	388	1	2	3	12	542	4	2	45.92%	1102	209	150	0.19	1	6	4	6	5

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	SO	GA	SA	SAR	PS %	PSA	ST	BG	S1	S2	S3
1	Anton Forsberg	Pittsburgh Penguins	17	4	8	3	0.932	2.35	972	2	38	562	239	0.667	6	15	4	6	1	1
2	Dustin Wolf	Pittsburgh Penguins	4	0	4	0	0.849	6.17	175	0	18	119	67	0.00%	0	4	15	0	0	0
Statistiques d’équipe totales ou en moyenne			21	4	12	3	0.918	2.93	1148	2	56	681	306		6	19	19	6	1	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	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Anton Forsberg	Pittsburgh Penguins	G	30	1992-11-27	No	193 Lbs	6 ft3	No	No	No	Yes	3	Pro Only	3,500,000$	2,661,458$	3,500,000$	2,661,458$	3,500,000$	2,661,458$	No	3,500,000$	3,500,000$		Lien / Lien NHL
Austin Strand	Pittsburgh Penguins	D	26	1997-02-17	No	216 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	1,000,000$	760,417$	1,000,000$	760,417$	1,000,000$	760,417$	No				Lien
Brett Leason	Pittsburgh Penguins	LW/RW	24	1999-04-30	No	215 Lbs	6 ft5	No	No	No	No	3	Pro & Farm	1,000,000$	760,417$	1,000,000$	760,417$	1,000,000$	760,417$	No	1,000,000$	1,000,000$		Lien
Dustin Wolf	Pittsburgh Penguins	G	22	2001-04-16 06:25:35	Yes	166 Lbs	6 ft0	No	No	No	No	3	Pro & Farm	1,000,000$	760,417$	1,000,000$	760,417$	1,000,000$	760,417$	No	1,000,000$	1,000,000$
Dylan Cozens	Pittsburgh Penguins	C/RW	22	2001-02-09 02:27:54	No	195 Lbs	6 ft3	No	No	No	No	4	Pro Only	7,000,000$	5,322,917$	7,000,000$	5,322,917$	7,000,000$	5,322,917$	No	7,000,000$	7,000,000$	7,000,000$
Eeli Tolvanen	Pittsburgh Penguins	RW	24	1999-04-22	No	191 Lbs	5 ft10	No	No	No	No	1	Pro Only	2,000,000$	1,520,833$	2,000,000$	1,520,833$	2,000,000$	1,520,833$	No				Lien
Erik Gustafsson	Pittsburgh Penguins	D	31	1992-01-07 10:18:49	No	222 Lbs	6 ft3	No	No	No	Yes	2	Pro Only	3,500,000$	2,661,458$	3,500,000$	2,661,458$	3,500,000$	2,661,458$	No	3,500,000$
Filip Hronek	Pittsburgh Penguins	D	26	1997-11-02	No	190 Lbs	6 ft0	No	No	No	No	2	Pro Only	4,000,000$	3,041,667$	4,000,000$	3,041,667$	4,000,000$	3,041,667$	No	4,000,000$			Lien
Filip Roos	Pittsburgh Penguins	D	24	1999-01-05 01:50:33	Yes	190 Lbs	6 ft4	No	No	No	No	1	Pro & Farm	775,000$	589,323$	775,000$	589,323$	775,000$	589,323$	No
Kevin Labanc	Pittsburgh Penguins	C/LW/RW	27	1995-12-12 03:29:25	No	179 Lbs	5 ft11	No	No	No	Yes	3	Pro Only	4,500,000$	3,421,875$	4,500,000$	3,421,875$	4,500,000$	3,421,875$	No	4,500,000$	4,500,000$		Lien / Lien NHL
Madison Bowey	Pittsburgh Penguins	D	28	1995-04-22	No	202 Lbs	6 ft2	No	No	No	Yes	2	Pro & Farm	850,000$	646,354$	850,000$	646,354$	850,000$	646,354$	No	850,000$			Lien / Lien NHL
Mathew Barzal	Pittsburgh Penguins	C/LW/RW	26	1997-05-26 01:51:58	No	190 Lbs	6 ft1	No	No	No	No	3	Pro Only	7,000,000$	5,322,917$	7,000,000$	5,322,917$	7,000,000$	5,322,917$	No	7,000,000$	7,000,000$		Lien
Mikael Backlund	Pittsburgh Penguins	C/LW/RW	34	1989-03-17	No	206 Lbs	6 ft0	No	No	No	Yes	3	Pro Only	8,000,000$	6,083,333$	8,000,000$	6,083,333$	8,000,000$	6,083,333$	No	8,000,000$	8,000,000$		Lien / Lien NHL
Morgan Frost	Pittsburgh Penguins	C/RW	24	1999-05-14	No	170 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	1,500,000$	1,140,625$	1,500,000$	1,140,625$	1,500,000$	1,140,625$	No				Lien
Nick Bonino	Pittsburgh Penguins	C/LW/RW	35	1988-04-20	No	195 Lbs	6 ft1	No	No	No	Yes	2	Pro Only	4,250,000$	3,231,771$	4,250,000$	3,231,771$	4,250,000$	3,231,771$	No	4,250,000$			Lien / Lien NHL
Paul Cotter	Pittsburgh Penguins	C/RW	24	1999-11-16	No	212 Lbs	6 ft1	No	No	No	No	3	Pro Only	3,000,000$	2,281,250$	3,000,000$	2,281,250$	3,000,000$	2,281,250$	No	3,000,000$	3,000,000$		Lien
Reese Johnson	Pittsburgh Penguins	C/RW	25	1998-07-10	No	193 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	750,000$	570,312$	750,000$	570,312$	750,000$	570,312$	No				Lien
Ryan McLeod	Pittsburgh Penguins	C	24	1999-09-21	No	207 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	1,500,000$	1,140,625$	1,500,000$	1,140,625$	1,500,000$	1,140,625$	No
Sammy Blais	Pittsburgh Penguins	LW/RW	27	1996-06-17 12:24:13	No	206 Lbs	6 ft1	No	No	No	Yes	1	Pro & Farm	1,500,000$	1,140,625$	1,500,000$	1,140,625$	1,500,000$	1,140,625$	No				Lien / Lien NHL
Samuel Bolduc	Pittsburgh Penguins	D	22	2000-12-09 03:46:05	Yes	220 Lbs	6 ft4	No	No	No	No	3	Pro & Farm	850,000$	646,354$	850,000$	646,354$	850,000$	646,354$	No	850,000$	850,000$
Tomas Nosek	Pittsburgh Penguins	C/LW/RW	31	1992-09-01	No	203 Lbs	6 ft3	No	No	No	Yes	2	Pro Only	2,700,000$	2,053,125$	2,700,000$	2,053,125$	2,700,000$	2,053,125$	No	2,700,000$			Lien / Lien NHL
Torey Krug	Pittsburgh Penguins	D	32	1991-04-12	No	194 Lbs	5 ft9	No	No	No	Yes	3	Pro Only	6,000,000$	4,562,500$	6,000,000$	4,562,500$	6,000,000$	4,562,500$	No	6,000,000$	6,000,000$		Lien / Lien NHL
Victor Mete	Pittsburgh Penguins	D	25	1998-06-07 00:41:32	No	187 Lbs	5 ft9	No	No	No	No	2	Pro Only	1,750,000$	1,330,729$	1,750,000$	1,330,729$	1,750,000$	1,330,729$	No	1,750,000$			Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	26.65	197 Lbs	6 ft1	2.17	2,953,261$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
67,925,000$	58,900,000$	41,850,000$	7,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kevin Labanc	Mathew Barzal	Eeli Tolvanen	25	5	0	0
2	Mikael Backlund	Dylan Cozens	Morgan Frost	25	5	0	0
3	Nick Bonino	Ryan McLeod	Tomas Nosek	25	5	0	0
4	Paul Cotter	Sammy Blais	Reese Johnson	25	5	0	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Gustafsson	Filip Hronek	30	5	0	0
2	Torey Krug	Austin Strand	30	5	0	0
3	Victor Mete	Madison Bowey	20	5	0	0
4	Erik Gustafsson	Filip Hronek	20	5	0	0

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Mikael Backlund	Mathew Barzal	Eeli Tolvanen	60	5	0	0
2	Nick Bonino	Dylan Cozens	Morgan Frost	40	5	0	0

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Gustafsson	Filip Hronek	60	5	0	0
2	Victor Mete	Torey Krug	40	5	0	0

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nick Bonino	Mikael Backlund	60	5	0	0
2	Tomas Nosek	Sammy Blais	40	5	0	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Filip Hronek	Erik Gustafsson	60	5	0	0
2	Madison Bowey	Victor Mete	40	5	0	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Mikael Backlund	60	5	0	0	Erik Gustafsson	Torey Krug	60	5	0	0
2	Nick Bonino	40	5	0	0	Victor Mete	Filip Hronek	40	5	0	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mathew Barzal	Eeli Tolvanen	60	5	0	0
2	Mikael Backlund	Dylan Cozens	40	5	0	0

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Gustafsson	Filip Hronek	60	5	0	0
2	Torey Krug	Victor Mete	40	5	0	0

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mikael Backlund	Mathew Barzal	Eeli Tolvanen	Erik Gustafsson	Filip Hronek

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Tomas Nosek	Mikael Backlund	Nick Bonino	Erik Gustafsson	Filip Hronek

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mathew Barzal , Mikael Backlund, Nick Bonino	Mathew Barzal , Dylan Cozens	Ryan McLeod

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Erik Gustafsson, Torey Krug, Filip Hronek	Erik Gustafsson	Erik Gustafsson, Torey Krug

Tirs de pénalité
Mathew Barzal , Mikael Backlund, Eeli Tolvanen, Dylan Cozens, Ryan McLeod

Gardien
#1 : Dustin Wolf, #2 : Anton Forsberg

Lignes d’attaque personnalisées en prolongation
Mathew Barzal , Mikael Backlund, Dylan Cozens, Nick Bonino, Ryan McLeod, Kevin Labanc , Kevin Labanc , Eeli Tolvanen, Paul Cotter, Morgan Frost, Tomas Nosek

Lignes de défense personnalisées en prolongation
Erik Gustafsson, Torey Krug, Filip Hronek, Victor Mete , Austin Strand

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	2	2	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	4	1.000	4	8	12	0	2	2	0	2	0	44	14	11	19	0	44	15	12	41	6	1	16.67%	6	0	100.00%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	40	20	44	17	35	16
2	Buffalo Sabres	2	0	1	0	0	1	0	0	1	9	-8	1	0	0	0	0	1	0	0	1	2	-1	1	0	1	0	0	0	0	0	0	7	-7	1	0.250	1	2	3	0	0	1	0	0	0	53	16	18	19	0	68	16	27	35	9	0	0.00%	8	2	75.00%	1	168	355	47.32%	235	497	47.28%	103	241	42.74%	45	28	46	16	29	14
3	Calgary Flames	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	18	4	9	5	0	37	10	6	18	3	0	0.00%	3	1	66.67%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	18	10	24	9	16	7
4	Carolina Hurricanes	1	0	1	0	0	0	0	0	0	6	-6	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	6	-6	0	0.000	0	0	0	0	0	0	0	0	0	25	12	8	5	0	43	14	14	16	2	0	0.00%	2	0	100.00%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	20	12	22	8	16	8
5	Chicago Blackhawks	1	0	0	0	1	0	0	0	2	1	1	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	0	0	1	1	25	8	10	5	2	38	14	14	17	3	0	0.00%	7	0	100.00%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	20	13	25	9	15	7
6	Colorado Avalanche	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	0	1	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	24	9	14	1	0	43	17	10	16	1	0	0.00%	5	1	80.00%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	19	11	26	8	14	5
7	Columbus Blue Jackets	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	1	2	0	0	0	0	1	0	31	11	11	9	0	45	15	6	14	2	0	0.00%	3	1	66.67%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	19	12	26	8	14	6
8	Dallas Stars	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	20	4	9	7	0	40	7	6	17	1	0	0.00%	3	0	100.00%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	17	9	25	10	17	7
9	Detroit Redwings	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	0	1	0	0	18	8	7	3	0	38	16	16	18	1	1	100.00%	8	0	100.00%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	16	8	27	9	15	6
10	Las Vegas Golden Knights	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	21	8	9	4	0	41	18	6	13	1	1	100.00%	3	0	100.00%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	19	11	23	8	16	7
11	Los Angeles Kings	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	1	1	0	0	32	17	9	6	0	30	16	12	13	6	0	0.00%	6	0	100.00%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	22	14	22	8	14	6
12	New Jersey Devils	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	0	5	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	19	6	8	5	0	36	17	6	12	2	0	0.00%	3	2	33.33%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	19	11	23	9	16	6
13	New York Rangers	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	0	1	0	23	13	6	4	0	35	9	6	16	2	0	0.00%	3	1	66.67%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	20	11	21	8	17	8
14	Ottawa Senators	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	4	6	0	0	0	1	1	0	25	5	9	9	2	30	15	6	23	2	1	50.00%	3	1	66.67%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	21	11	21	9	19	9
15	San Jose Sharks	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	0	1	1	1	27	5	8	13	7	39	16	8	32	2	0	0.00%	4	0	100.00%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	22	11	24	9	18	8
16	St. Louis Blues	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	1	1	2	0	0	0	0	1	0	27	8	1	18	0	43	10	13	11	0	0	0.00%	4	3	25.00%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	18	11	24	9	16	7
17	Washington Capitals	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	0	0	1	0	29	4	11	14	0	31	16	19	14	3	0	0.00%	7	3	57.14%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	20	13	25	8	13	6
	Total	19	3	12	0	1	2	0	1	19	57	-38	10	1	6	0	1	2	0	0	9	25	-16	9	2	6	0	0	0	0	1	10	32	-22	11	0.289	19	33	52	0	2	4	5	9	2	461	152	158	146	11	681	241	187	326	46	4	8.70%	78	15	80.77%	1	168	355	47.32%	235	497	47.28%	103	241	42.74%	382	222	456	169	310	142
	_Since Last GM Reset	19	3	12	0	1	2	0	1	19	57	-38	10	1	6	0	1	2	0	0	9	25	-16	9	2	6	0	0	0	0	1	10	32	-22	11	0.289	19	33	52	0	2	4	5	9	2	461	152	158	146	11	681	241	187	326	46	4	8.70%	78	15	80.77%	1	168	355	47.32%	235	497	47.28%	103	241	42.74%	382	222	456	169	310	142
	_Vs Conference	9	0	7	0	0	2	0	0	7	36	-29	4	0	2	0	0	2	0	0	4	14	-10	5	0	5	0	0	0	0	0	3	22	-19	2	0.111	7	12	19	0	0	1	2	4	0	223	75	78	68	2	326	118	100	148	23	2	8.70%	37	10	72.97%	1	168	355	47.32%	235	497	47.28%	103	241	42.74%	183	108	215	78	144	67
	_Vs Division	5	0	5	0	0	0	0	0	3	21	-18	2	0	2	0	0	0	0	0	1	9	-8	3	0	3	0	0	0	0	0	2	12	-10	0	0.000	3	4	7	0	0	0	0	3	0	127	46	44	37	0	190	71	51	72	11	0	0.00%	18	7	61.11%	0	168	355	47.32%	235	497	47.28%	103	241	42.74%	100	60	120	42	79	37

			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
19	11	L6	19	33	52	461	681	241	187	326	0	2

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	3	12	1	2	0	1	19	57

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	1	6	1	2	0	0	9	25

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	2	6	0	0	0	1	10	32

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	6	0	1	0	1

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
46	4	8.70%	78	15	80.77%	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
152	158	146	11	4	5	9	2

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
168	355	47.32%	235	497	47.28%	103	241	42.74%

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
382	222	456	169	310	142

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	Lien
1 - 2023-10-01	2	Chicago Blackhawks	1	Pittsburgh Penguins	2	BW	X		Sommaire du match
4 - 2023-10-04	18	Pittsburgh Penguins	1	Washington Capitals	4	AL			Sommaire du match
5 - 2023-10-05	25	Calgary Flames	3	Pittsburgh Penguins	0	BL			Sommaire du match
9 - 2023-10-09	50	Pittsburgh Penguins	1	Detroit Redwings	3	AL			Sommaire du match
12 - 2023-10-12	75	Pittsburgh Penguins	1	St. Louis Blues	6	AL			Sommaire du match
15 - 2023-10-15	88	Dallas Stars	2	Pittsburgh Penguins	0	BL			Sommaire du match
17 - 2023-10-17	105	Colorado Avalanche	1	Pittsburgh Penguins	0	BL			Sommaire du match
19 - 2023-10-19	123	Ottawa Senators	3	Pittsburgh Penguins	2	BL	X		Sommaire du match
21 - 2023-10-21	132	Anaheim Ducks	0	Pittsburgh Penguins	2	BW			Sommaire du match
26 - 2023-10-26	171	Pittsburgh Penguins	2	San Jose Sharks	3	AL	X	X	Sommaire du match
29 - 2023-10-29	187	Pittsburgh Penguins	2	Anaheim Ducks	0	AW			Sommaire du match
31 - 2023-10-31	202	Pittsburgh Penguins	2	Los Angeles Kings	1	AW			Sommaire du match
33 - 2023-11-02	217	Buffalo Sabres	2	Pittsburgh Penguins	1	BL	X		Sommaire du match
36 - 2023-11-05	230	Pittsburgh Penguins	1	Columbus Blue Jackets	2	AL			Sommaire du match
38 - 2023-11-07	245	New Jersey Devils	5	Pittsburgh Penguins	0	BL			Sommaire du match
40 - 2023-11-09	261	Pittsburgh Penguins	0	Carolina Hurricanes	6	AL			Sommaire du match
41 - 2023-11-10	269	Las Vegas Golden Knights	4	Pittsburgh Penguins	1	BL			Sommaire du match
44 - 2023-11-13	283	New York Rangers	4	Pittsburgh Penguins	1	BL			Sommaire du match
46 - 2023-11-15	301	Pittsburgh Penguins	0	Buffalo Sabres	7	AL			Sommaire du match
47 - 2023-11-16	311	Toronto Maple Leafs	-	Pittsburgh Penguins	-
50 - 2023-11-19	331	Pittsburgh Penguins	-	Nashville Predators	-
52 - 2023-11-21	345	Pittsburgh Penguins	-	Tampa Bay Lightning	-
54 - 2023-11-23	363	Philadelphia Flyers	-	Pittsburgh Penguins	-
56 - 2023-11-25	374	Pittsburgh Penguins	-	Philadelphia Flyers	-
58 - 2023-11-27	389	Pittsburgh Penguins	-	Tampa Bay Lightning	-
60 - 2023-11-29	406	Pittsburgh Penguins	-	Florida Panthers	-
64 - 2023-12-03	434	Arizona Coyotes	-	Pittsburgh Penguins	-
65 - 2023-12-04	442	Pittsburgh Penguins	-	Montreal Canadiens	-
68 - 2023-12-07	467	Pittsburgh Penguins	-	Toronto Maple Leafs	-
70 - 2023-12-09	480	Minnesota Wild	-	Pittsburgh Penguins	-
73 - 2023-12-12	503	Carolina Hurricanes	-	Pittsburgh Penguins	-
75 - 2023-12-14	520	Pittsburgh Penguins	-	Ottawa Senators	-
79 - 2023-12-18	533	Pittsburgh Penguins	-	New York Islanders	-
82 - 2023-12-21	559	St. Louis Blues	-	Pittsburgh Penguins	-
83 - 2023-12-22	567	New York Islanders	-	Pittsburgh Penguins	-
85 - 2023-12-24	576	Washington Capitals	-	Pittsburgh Penguins	-
87 - 2023-12-26	589	Pittsburgh Penguins	-	Boston Bruins	-
89 - 2023-12-28	613	Buffalo Sabres	-	Pittsburgh Penguins	-
91 - 2023-12-30	622	Pittsburgh Penguins	-	Philadelphia Flyers	-
94 - 2024-01-02	643	Vancouver Canucks	-	Pittsburgh Penguins	-
96 - 2024-01-04	658	Pittsburgh Penguins	-	Carolina Hurricanes	-
98 - 2024-01-06	677	Seattle Kraken	-	Pittsburgh Penguins	-
103 - 2024-01-11	715	Pittsburgh Penguins	-	Las Vegas Golden Knights	-
105 - 2024-01-13	727	Pittsburgh Penguins	-	Arizona Coyotes	-
109 - 2024-01-17	756	Florida Panthers	-	Pittsburgh Penguins	-
110 - 2024-01-18	767	Montreal Canadiens	-	Pittsburgh Penguins	-
120 - 2024-01-28	788	Winnipeg Jets	-	Pittsburgh Penguins	-
123 - 2024-01-31	801	Pittsburgh Penguins	-	Minnesota Wild	-
124 - 2024-02-01	810	Pittsburgh Penguins	-	Winnipeg Jets	-
128 - 2024-02-05	835	Florida Panthers	-	Pittsburgh Penguins	-
129 - 2024-02-06	845	Pittsburgh Penguins	-	Chicago Blackhawks	-
132 - 2024-02-09	865	Los Angeles Kings	-	Pittsburgh Penguins	-
134 - 2024-02-11	878	New York Islanders	-	Pittsburgh Penguins	-
136 - 2024-02-13	893	Montreal Canadiens	-	Pittsburgh Penguins	-
139 - 2024-02-16	917	Philadelphia Flyers	-	Pittsburgh Penguins	-
141 - 2024-02-18	937	Pittsburgh Penguins	-	Vancouver Canucks	-
143 - 2024-02-20	950	Pittsburgh Penguins	-	Seattle Kraken	-
145 - 2024-02-22	968	Pittsburgh Penguins	-	Calgary Flames	-
146 - 2024-02-23	974	Pittsburgh Penguins	-	Edmonton Oilers	-
148 - 2024-02-25	983	Columbus Blue Jackets	-	Pittsburgh Penguins	-
150 - 2024-02-27	998	Washington Capitals	-	Pittsburgh Penguins	-
152 - 2024-02-29	1012	Pittsburgh Penguins	-	Boston Bruins	-
153 - 2024-03-01	1022	Edmonton Oilers	-	Pittsburgh Penguins	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2024-03-03	1034	Pittsburgh Penguins	-	Ottawa Senators	-
157 - 2024-03-05	1051	San Jose Sharks	-	Pittsburgh Penguins	-
159 - 2024-03-07	1061	New York Rangers	-	Pittsburgh Penguins	-
160 - 2024-03-08	1078	Detroit Redwings	-	Pittsburgh Penguins	-
162 - 2024-03-10	1084	Pittsburgh Penguins	-	New Jersey Devils	-
165 - 2024-03-13	1110	Pittsburgh Penguins	-	Dallas Stars	-
167 - 2024-03-15	1125	Pittsburgh Penguins	-	Colorado Avalanche	-
169 - 2024-03-17	1138	Carolina Hurricanes	-	Pittsburgh Penguins	-
171 - 2024-03-19	1154	Columbus Blue Jackets	-	Pittsburgh Penguins	-
173 - 2024-03-21	1172	Pittsburgh Penguins	-	Columbus Blue Jackets	-
175 - 2024-03-23	1182	Pittsburgh Penguins	-	New York Rangers	-
176 - 2024-03-24	1191	Pittsburgh Penguins	-	New Jersey Devils	-
178 - 2024-03-26	1206	Pittsburgh Penguins	-	Washington Capitals	-
180 - 2024-03-28	1217	Tampa Bay Lightning	-	Pittsburgh Penguins	-
182 - 2024-03-30	1237	Pittsburgh Penguins	-	Toronto Maple Leafs	-
185 - 2024-04-02	1258	Detroit Redwings	-	Pittsburgh Penguins	-
187 - 2024-04-04	1279	Boston Bruins	-	Pittsburgh Penguins	-
189 - 2024-04-06	1289	Nashville Predators	-	Pittsburgh Penguins	-
191 - 2024-04-08	1303	Pittsburgh Penguins	-	New York Islanders	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	57,986	48,501	19,937	39,350	9,989
Attendance PCT	96.64%	97.00%	99.69%	98.38%	99.89%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
31	17576 - 97.65%	1,845,813$	18,458,129$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
16,644,534$	67,925,000$	67,925,000$	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
353,776$	16,273,176$	4,067,144$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
57,220,200$	146	361,849$	52,829,954$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
56,118,162$	128,951,167$	130,053,205$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
67,924,472$	15,575,528$	83,500,000$	6,224,472$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Mathew Barzal	AGE:26	PO:81	OV:71
Mikael Backlund	AGE:34	PO:56	OV:70
Nick Bonino	AGE:35	PO:31	OV:68
Tomas Nosek	AGE:31	PO:76	OV:66
Kevin Labanc	AGE:27	PO:47	OV:66
Jeffrey Viel	AGE:26	PO:71	OV:64
Sammy Blais	AGE:27	PO:76	OV:63
Givani Smith	AGE:25	PO:83	OV:62
Matt Rempe (R)	AGE:21	PO:54	OV:62
Brett Leason	AGE:24	PO:65	OV:61
Daniel Walcott	AGE:29	PO:45	OV:60
Matthew Strome	AGE:24	PO:70	OV:59
Blake McLaughlin (R)	AGE:23	PO:75	OV:57
Patrick Guay (R)	AGE:21	PO:60	OV:54

Mathew Barzal	AGE:26	PO:81	OV:71
Mikael Backlund	AGE:34	PO:56	OV:70
Dylan Cozens	AGE:22	PO:90	OV:69
Nick Bonino	AGE:35	PO:31	OV:68
Tomas Nosek	AGE:31	PO:76	OV:66
Morgan Frost	AGE:24	PO:74	OV:66
Ryan McLeod	AGE:24	PO:71	OV:66
Kevin Labanc	AGE:27	PO:47	OV:66
Paul Cotter	AGE:24	PO:54	OV:63
Lauri Pajuniemi (R)	AGE:24	PO:74	OV:62
Reese Johnson	AGE:25	PO:61	OV:62
Matt Rempe (R)	AGE:21	PO:54	OV:62
Benoit Olivier Groulx	AGE:23	PO:71	OV:61
Mathias Emilio Pettersen (R)	AGE:23	PO:76	OV:59
Josh Dickinson	AGE:26	PO:62	OV:59
Chaz Lucius (R)	AGE:20	PO:88	OV:57
Nikita Pavlychev	AGE:26	PO:42	OV:57
Patrick Guay (R)	AGE:21	PO:60	OV:54

Mathew Barzal	AGE:26	PO:81	OV:71
Mikael Backlund	AGE:34	PO:56	OV:70
Dylan Cozens	AGE:22	PO:90	OV:69
Nick Bonino	AGE:35	PO:31	OV:68
Tomas Nosek	AGE:31	PO:76	OV:66
Morgan Frost	AGE:24	PO:74	OV:66
Eeli Tolvanen	AGE:24	PO:71	OV:66
Kevin Labanc	AGE:27	PO:47	OV:66
Jeffrey Viel	AGE:26	PO:71	OV:64
Sammy Blais	AGE:27	PO:76	OV:63
Paul Cotter	AGE:24	PO:54	OV:63
Givani Smith	AGE:25	PO:83	OV:62
Lauri Pajuniemi (R)	AGE:24	PO:74	OV:62
Reese Johnson	AGE:25	PO:61	OV:62
Brett Leason	AGE:24	PO:65	OV:61
Daniel Walcott	AGE:29	PO:45	OV:60
Josh Dickinson	AGE:26	PO:62	OV:59

Défense #1

Défense #2

Gardien

Erik Gustafsson	AGE:31	PO:45	OV:72
Filip Hronek	AGE:26	PO:63	OV:70
Torey Krug	AGE:32	PO:28	OV:70
Samuel Bolduc (R)	AGE:22	PO:85	OV:66
Filip Roos (R)	AGE:24	PO:69	OV:66
Brayden Pachal (R)	AGE:24	PO:59	OV:66
Kevin Korchinski (R)	AGE:19	PO:89	OV:65
Austin Strand	AGE:26	PO:54	OV:65

Madison Bowey	AGE:28	PO:66	OV:64
Victor Mete	AGE:25	PO:65	OV:63
Brady Lyle	AGE:24	PO:73	OV:62
Brian Lashoff	AGE:33	PO:43	OV:62
Stanislav Svozil (R)	AGE:20	PO:77	OV:61
Colton Poolman	AGE:27	PO:75	OV:61
Reilly Walsh (R)	AGE:24	PO:73	OV:61
Artemi Kniazev	AGE:22	PO:75	OV:60

Anton Forsberg	AGE:30	PO:52	OV:85
Dustin Wolf (R)	AGE:22	PO:76	OV:71
Jean Francois Berube	AGE:32	PO:56	OV:70
Dylan Garand (R)	AGE:21	PO:77	OV:69
Leevi Merilainen (R)	AGE:21	PO:80	OV:65

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
Alexander Perevalov	Pittsburgh Penguins	2022	75
Angus Booth	Pittsburgh Penguins	2022	121
Benjamin Baumgartner	Pittsburgh Penguins	2020	168
Brett Davis	Pittsburgh Penguins	2017	163
Caedan Bankier	Pittsburgh Penguins	2021	85
Chase Clark	Pittsburgh Penguins	2021	138
Cole Huckins	Pittsburgh Penguins	2021	73
Daniil Karpovich	Pittsburgh Penguins	2023	114
Dylan Duke	Pittsburgh Penguins	2021	74
Ilya Safonov	Pittsburgh Penguins	2021	170
Ivan Miroshnichenk	Pittsburgh Penguins	2022	26
Jack Adams	Pittsburgh Penguins	2017	162
Jack Bar	Pittsburgh Penguins	2021	106
Jack Devine	Pittsburgh Penguins	2022	174
Jagger Firkus	Pittsburgh Penguins	2022	25
Joni Ikonen	Pittsburgh Penguins	2017	46
Julian Lutz	Pittsburgh Penguins	2022	46
Kasper Halttunen	Pittsburgh Penguins	2023	35
Kiril Kirsanov	Pittsburgh Penguins	2021	81
Linus Cronholm	Pittsburgh Penguins	2018	116
Luca Cagnoni	Pittsburgh Penguins	2023	99
Luca Pinelli	Pittsburgh Penguins	2023	82
Matvei Michkov	Pittsburgh Penguins	2023	4
Noah Beck	Pittsburgh Penguins	2020	199
Noah Warren	Pittsburgh Penguins	2022	39
Quentin Musty	Pittsburgh Penguins	2023	26
Scott Morrow	Pittsburgh Penguins	2021	27
Scott Ratzlaff	Pittsburgh Penguins	2023	110
Sean Behrens	Pittsburgh Penguins	2021	42
Ty Young	Pittsburgh Penguins	2022	142
Vladislav Yeryomenko	Pittsburgh Penguins	2018	156

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
9	PIT	PIT MTL PHI		PIT SEA
10	PIT	PIT	PIT	LAK	PIT	PIT	PIT
11	PIT	PIT	PIT	PIT	PIT	PIT	PIT
12	PIT	PIT	PIT	PIT	PIT	PIT	PIT
13	PIT	PIT	PIT	PIT	PIT	PIT	PIT

Pittsburgh Penguins Historique de transactions

[2023-10-12 09:57:21] - Kevin Korchinski was added to Pittsburgh Penguins.
[2023-09-26 19:05:36] - Derek Stepan was released.
[2023-09-26 19:05:36] - Derek Stepan retired from Pittsburgh Penguins
[2023-09-06 19:11:19] - Pittsburgh Penguins hired Alex Tanguay for 550 000 $ for 3 year(s).
[2023-08-31 19:42:25] - TRADE : From Pittsburgh Penguins to Nashville Predators : Y:9-RND:5-PIT, Y:9-RND:7-PIT.
[2023-08-31 19:42:25] - TRADE : From Nashville Predators to Pittsburgh Penguins : Brady Lyle (62), Patrick Guay (54), Matt Rempe (61), Mathias Emilio Pettersen (58).
[2023-08-31 19:39:53] - TRADE : From Los Angeles Kings to Pittsburgh Penguins : Y:10-RND:4-LAK.
[2023-08-31 19:26:26] - TRADE : From Pittsburgh Penguins to Seattle Kraken : Y:9-RND:3-PIT, Y:10-RND:4-PIT.
[2023-08-31 19:26:26] - TRADE : From Seattle Kraken to Pittsburgh Penguins : Kevin Labanc (68), Victor Mete (65).
[2023-08-31 18:43:20] - Brian Lashoff was added to Pittsburgh Penguins.
[2023-08-31 18:43:14] - Daniel Walcott was added to Pittsburgh Penguins.
[2023-08-31 18:43:07] - Josh Dickinson was added to Pittsburgh Penguins.
[2023-08-31 18:43:01] - Matthew Strome was added to Pittsburgh Penguins.
[2023-08-27 18:23:06] - Madison Bowey was added to Pittsburgh Penguins.
[2023-08-27 18:23:01] - Erik Gustafsson was added to Pittsburgh Penguins.
[2023-08-22 18:43:55] - TRADE : From Pittsburgh Penguins to Philadelphie Flyers : Travis Sanheim (73).
[2023-08-22 18:43:55] - TRADE : From Philadelphie Flyers to Pittsburgh Penguins : Sammy Blais (65), Derek Stepan (65), Y:9-RND:2-MTL, Y:9-RND:2-PHI.
[2023-08-11 08:21:18] - Pittsburgh Penguins fired Jim Playfair.
[2023-07-31 08:17:00] - Stanislav Svozil was added to Pittsburgh Penguins.
[2023-07-31 08:14:40] - Leevi Merilainen was added to Pittsburgh Penguins.
[2023-07-31 08:12:55] - Joseph Masonius has been deleted from Pittsburgh Penguins.
[2023-07-31 08:09:57] - Sheldon Dries was released.
[2023-07-31 08:09:57] - Pittsburgh Penguins paid 0 $ to release Sheldon Dries.
[2023-07-31 08:07:07] - Frank Palazzese was released by Pittsburgh Penguins
[2023-07-31 08:06:37] - Dominik Simon was released by Pittsburgh Penguins
[2023-07-31 08:06:13] - Dawson Barteaux was released.
[2023-07-31 08:06:13] - Pittsburgh Penguins paid 0 $ to release Dawson Barteaux.
[2023-07-31 08:03:14] - Ryan MacInnis was released by Pittsburgh Penguins
[2023-07-31 07:58:08] - Kasper Bjorkqvist was released by Pittsburgh Penguins
[2023-07-31 07:51:59] - Matt Nieto was released.
[2023-07-31 07:51:59] - Pittsburgh Penguins paid 0 $ to release Matt Nieto.
[2023-07-31 07:51:03] - Josiah Didier was released.
[2023-07-31 07:51:03] - Pittsburgh Penguins paid 0 $ to release Josiah Didier .
[2023-07-31 07:50:23] - Jordie Benn was released.
[2023-07-31 07:50:23] - Pittsburgh Penguins paid 0 $ to release Jordie Benn.
[2023-07-31 07:48:54] - Jean Sebastien Dea was released.
[2023-07-31 07:48:54] - Pittsburgh Penguins paid 0 $ to release Jean Sebastien Dea.
[2023-07-31 07:47:51] - Ethan Prow was released.
[2023-07-31 07:47:51] - Pittsburgh Penguins paid 0 $ to release Ethan Prow.
[2023-07-31 07:32:38] - Brandon Hickey was released.
[2023-07-31 07:32:38] - Pittsburgh Penguins paid 0 $ to release Brandon Hickey.
[2023-07-31 07:32:26] - Anthony Angello was released.
[2023-07-31 07:32:26] - Pittsburgh Penguins paid 0 $ to release Anthony Angello.
[2023-07-31 07:28:22] - Chris Wagner was released.
[2023-07-31 07:28:22] - Pittsburgh Penguins paid 0 $ to release Chris Wagner.
[2023-07-31 07:28:15] - Conor Sheary was released.
[2023-07-31 07:28:15] - Pittsburgh Penguins paid 0 $ to release Conor Sheary.

[2023-11-27 18:20:14] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[2023-11-26 12:21:40] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[2023-11-25 15:29:17] Wilkes-Barre/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2023-11-23 20:13:48] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[2023-11-23 06:13:12] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[2023-11-23 06:12:48] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.3.9.9
[2023-11-21 18:53:47] Wilkes-Barre/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2023-11-20 20:43:42] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[2023-11-18 11:04:03] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[2023-11-17 19:53:15] Wilkes-Barre/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2023-11-16 18:51:30] Wilkes-Barre/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2023-11-15 18:44:12] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.

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: 19 \| W: 4 \| L: 12 \| OTL: 3 \| P: 11 GF: 19 \| GA: 57 \| PP%: 8.70% \| PK%: 80.77% DG: Marc Antoine Plante \| Morale : 23 \| Moyenne d’équipe : 67 Prochains matchs #311 vs Toronto Maple Leafs