Wilkes-Barre/Scranton
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Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	Washington 6-5-0, 12pts	3	FINAL	1	Pittsburgh 1-4-0, 2pts

Team Stats
L1	Streak	L3
4-2-0	Home Record	0-2-0
2-3-0	Away Record	1-2-0
5-4-1	Last 10 Games	1-3-1
3.45	Buts par match	2.40
2.82	Buts contre par match	3.80
19.05%	Pourcentage en avantage numérique	20.00%
85.29%	Pourcentage en désavantage numérique	66.67%

Pittsburgh
1-4-0, 2pts

FINAL

Washington
6-5-0, 12pts

Team Stats
L3	Streak	L1
0-2-0	Home Record	4-2-0
1-2-0	Away Record	2-3-0
1-3-1	Last 10 Games	5-4-1
2.40	Buts par match	3.45
3.80	Buts contre par match	2.82
20.00%	Pourcentage en avantage numérique	19.05%
66.67%	Pourcentage en désavantage numérique	85.29%

Meneurs d'équipe
	Buts Alexander Wennberg 3	Passes Tony DeAngelo 3

	Points Tony DeAngelo 4	Plus/Moins Lars Eller 2

	Victoires Anton Forsberg 1	Pourcentage d’arrêts Anton Forsberg 0.903

Statistiques d’équipe
Buts pour 12 2.40 GFG	Tirs pour 144 28.80 Avg	Pourcentage en avantage numérique 20.0% 3 GF	Début de zone offensive 39.5%
Buts contre 19 3.80 GAA	Tirs contre 183 36.60 Avg	Pourcentage en désavantage numérique 66.7%% 7 GA	Début de la zone défensive 42.4%

Informations de l'équipe
	Directeur général	Sebastien Lefebvre
	Entraîneur	Dan Bylsma
	Division	Metropolitaine
	Conférence	Conference Est
	Capitaine	Alexander Wennberg
	Assistant #1	John Carlson
	Assistant #2	Evgeni Malkin
Informations de l’aréna
	Nom	Consol Energy Center
	Capacité	20,075
	Assistance	19,981
	Billets de saison	8,030
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	20
	Limite contact	42 / 50
	Espoirs	24
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	65,000,000$
	Valeur du plafond salarial spécial	425,216$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	3,559,267$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	23,490,178$
	Compte bancaire projeté	23,490,178$
Historique d'équipe
	Saison actuelle	1-4
	Historique	44-33-7 (0.524%)
	Apparitions en séries éliminatoires	1
	Historique en séries éliminatoires (W-L)	1-4
	Coupe Stanley	0

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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	Blake Wheeler	X		X		100.00	84	35	85	67	98	85	99	74	85	74	75	62	80	82	99	13	50	0	0	34	2	1,225,000$
2	Jesper Fast			X		100.00	84	25	98	77	79	82	87	73	70	71	73	68	75	63	63	38	50	0	0	29	3	1,000,000$
3	David Pastrnak			X		100.00	78	31	93	99	82	93	93	86	81	79	80	57	87	47	41	82	50	0	0	25	1	4,400,000$
4	Jean Gabriel Pageau	X				100.00	70	38	99	84	64	79	76	70	73	67	72	65	75	52	48	31	50	0	0	28	3	510,000$
5	Evgeni Malkin (A)	X	X	X		100.00	95	52	41	71	77	83	99	84	94	81	80	79	85	93	77	35	50	0	0	34	2	8,100,000$
6	Lars Eller	X	X			100.00	77	31	92	76	80	77	93	78	73	75	78	72	84	62	59	33	50	0	0	32	1	2,847,500$
7	Evgenii Dadonov		X	X		100.00	80	33	96	74	77	86	86	80	69	73	76	63	80	67	66	42	50	0	0	32	2	2,850,000$
8	Viktor Arvidsson		X	X		100.00	66	33	99	87	74	88	90	71	70	69	71	65	79	58	50	60	50	0	0	28	3	910,000$
9	Travis Konecny		X	X		100.00	86	38	86	97	81	87	90	83	77	79	80	58	87	44	42	69	50	0	0	24	1	3,000,000$
10	Kevin Fiala		X	X		100.00	74	33	99	99	82	86	89	84	81	77	80	62	88	47	45	71	50	0	0	24	1	3,500,000$
11	Adam Erne		X	X		100.00	78	37	89	83	90	77	83	72	77	66	72	65	83	50	48	65	50	0	0	26	1	550,000$
12	Tony DeAngelo				X	100.00	81	32	72	91	83	91	85	72	51	74	69	90	82	48	48	77	50	0	0	25	4	6,500,000$
13	John Carlson (A)				X	100.00	74	37	75	74	84	97	97	70	50	70	65	92	82	66	57	65	50	0	0	31	2	5,200,000$
14	Jamie Oleksiak				X	100.00	87	47	54	72	94	83	85	52	50	53	47	89	70	52	52	64	50	0	0	28	1	950,000$
15	Noah Dobson (R)				X	100.00	81	30	91	88	88	90	89	67	50	67	63	90	77	36	36	90	50	0	0	21	3	900,000$
16	Tyson Barrie				X	100.00	64	37	78	88	71	90	88	66	50	63	62	85	81	57	46	58	50	0	0	29	4	3,250,000$
17	Kevin Shattenkirk				X	100.00	71	34	79	81	77	87	86	66	50	68	65	92	75	79	69	50	50	0	0	32	1	4,000,000$
Rayé
1	Cody Hodgson	X	X	X		100.00	65	32	89	70	74	91	92	71	77	71	68	61	87	64	57	44	50	0	0	31	2	800,000$
2	Alexander Wennberg (C)	X	X	X		100.00	83	35	94	90	92	91	92	82	91	80	81	67	85	52	52	69	50	0	0	26	2	5,000,000$
3	Alex Pietrangelo				X	100.00	70	42	70	78	76	96	96	64	50	70	56	93	81	79	77	47	50	0	0	31	2	4,950,000$
Équipe Mineure
1	Jesse Joensuu		X	X		100.00	71	50	77	57	82	81	92	63	78	64	68	67	72	70	85	44	50	0	0	33	1	1,350,000$
2	Zac Dalpe	X		X		100.00	63	22	96	75	76	66	86	64	72	65	68	63	75	63	61	31	50	0	0	31	2	1,100,000$
3	Kerby Rychel (R)		X			100.00	75	38	83	74	92	70	81	66	75	66	68	62	78	47	42	56	50	0	0	26	3	600,000$
4	Wayne Simmonds		X	X		100.00	83	46	78	70	82	84	92	70	69	67	73	67	80	72	67	36	50	0	0	32	1	610,000$
5	Tyler Pitlick			X		100.00	72	30	88	73	79	78	88	71	69	70	73	76	76	56	54	58	50	0	0	29	3	1,000,000$
6	Matt Nieto		X	X		100.00	67	27	98	83	86	88	85	71	74	72	72	63	85	56	48	55	50	0	0	28	1	650,000$
7	Eric Staal	X	X			100.00	79	42	85	58	74	81	99	72	83	70	74	69	75	99	99	28	50	0	0	36	1	500,000$
8	Ryan Callahan			X		100.00	67	28	84	54	70	75	83	63	58	61	66	66	69	69	98	16	50	0	0	36	1	650,000$
9	Milan Lucic		X			100.00	71	37	82	59	94	78	99	70	69	70	72	64	71	66	62	47	50	0	0	33	2	500,000$
10	Michael Frolik		X	X		100.00	72	27	97	72	81	74	86	73	69	68	74	62	79	72	73	27	50	0	0	33	2	500,000$
11	Yannick Weber				X	100.00	67	30	74	66	73	79	81	53	50	47	46	80	74	65	65	28	50	0	0	32	1	1,100,000$
12	Keaton Ellerby				X	100.00	65	45	75	67	78	76	94	49	1	49	48	82	44	59	61	40	50	0	0	32	1	650,000$
13	Clayton Stoner				X	100.00	71	52	46	50	79	69	78	41	25	42	41	86	47	77	66	20	50	0	0	36	1	500,000$
14	Ian McCoshen				X	100.00	80	43	73	81	96	84	86	53	53	49	54	85	78	42	40	64	50	0	0	25	1	600,000$
15	Keith Ballard				X	100.00	74	41	53	43	76	77	92	49	32	47	47	86	70	96	86	17	50	0	0	38	1	700,000$
16	Alexandre Picard				X	100.00	53	19	83	48	78	72	87	41	31	40	42	80	66	89	83	18	50	0	0	35	1	700,000$
17	Ladislav Smid				X	100.00	78	48	54	54	81	74	91	50	50	48	51	84	61	71	65	21	50	0	0	35	1	500,000$

	MOYENNE D’ÉQUIPE					100.00	77	36	84	82	81	87	90	73	68	71	71	74	81	60	57	55	50	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 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	100.00	72	80	87	89	82	92	94	93	95	92	83	59	59	49	50	0	0	28	3	1,000,000$
2	Jonathan Quick	100.00	63	93	96	87	82	97	90	98	98	85	94	84	83	43	50	0	0	35	1	1,575,000$
Rayé
Équipe Mineure
1	Karri Ramo	100.00	65	79	79	89	78	91	93	92	92	77	80	83	81	28	50	0	0	34	1	500,000$
2	Eric Comrie (R)	100.00	73	78	77	87	81	91	90	91	93	90	87	52	52	54	50	0	0	25	1	500,000$
3	Cam Talbot	100.00	70	85	81	93	81	94	97	95	94	94	86	76	75	23	50	0	0	33	1	500,000$

	MOYENNE D’ÉQUIPE	100.00	68	87	92	88	82	95	92	96	97	89	89	72	71	46	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dan Bylsma	91	76	96	87	94	99	74	USA	52	2	3,000,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Tony DeAngelo	Pittsburgh	D	5	1	3	4	-3	6	21	5	6	1	5	16.67%	11	120	24.20	0	0	0	3	12	0	0	0	0	5	0	0.00%	0	0.66	1	0	0
2	Alexander Wennberg	Pittsburgh	C/LW/RW	5	3	1	4	0	0	3	14	16	2	6	18.75%	0	89	17.96	0	1	1	2	11	0	0	0	0	3	1	46.67%	60	0.89	0	1	0
3	Kevin Fiala	Pittsburgh	LW/RW	5	2	2	4	-3	0	0	5	22	6	14	9.09%	0	105	21.02	1	1	2	1	12	0	0	0	0	0	0	18.18%	11	0.76	0	0	1
4	Evgeni Malkin	Pittsburgh	C/LW/RW	5	0	3	3	-2	6	24	8	8	3	12	0.00%	2	104	20.91	0	1	1	2	12	0	1	1	0	2	0	51.63%	153	0.57	0	0	0
5	Lars Eller	Pittsburgh	C/LW	5	1	2	3	2	0	1	7	9	2	3	11.11%	0	86	17.25	0	1	1	3	10	0	0	0	0	17	0	44.25%	113	0.70	0	1	0
6	Noah Dobson	Pittsburgh	D	5	1	2	3	0	6	7	5	8	4	4	12.50%	8	109	21.96	1	0	1	6	12	0	1	1	0	13	0	0.00%	0	0.55	0	0	0
7	Blake Wheeler	Pittsburgh	C/RW	5	1	1	2	-1	8	4	3	4	1	9	25.00%	0	65	13.16	0	1	1	1	1	0	0	0	0	13	0	63.33%	30	0.61	0	0	0
8	David Pastrnak	Pittsburgh	RW	5	0	2	2	-1	0	1	6	15	6	4	0.00%	1	77	15.41	0	0	0	3	10	0	0	0	0	0	0	33.33%	6	0.52	0	0	0
9	John Carlson	Pittsburgh	D	5	1	1	2	0	2	6	4	6	3	8	16.67%	11	127	25.54	1	0	1	3	11	0	0	0	0	14	0	0.00%	0	0.31	0	0	0
10	Kevin Shattenkirk	Pittsburgh	D	5	1	1	2	1	2	7	3	8	2	3	12.50%	9	103	20.64	0	0	0	1	6	1	0	1	1	15	0	0.00%	0	0.39	0	0	0
11	Travis Konecny	Pittsburgh	LW/RW	5	1	0	1	2	8	12	6	13	6	12	7.69%	2	87	17.58	0	0	0	2	10	0	0	0	0	3	0	30.00%	10	0.23	0	0	0
12	Tyson Barrie	Pittsburgh	D	4	0	1	1	-1	0	1	2	3	2	2	0.00%	3	50	12.56	0	0	0	0	0	0	0	0	0	2	0	0.00%	0	0.40	0	0	0
13	Alex Pietrangelo	Pittsburgh	D	2	0	1	1	-1	0	1	1	3	4	3	0.00%	2	38	19.07	0	1	1	3	4	0	0	0	0	5	0	0.00%	0	0.52	0	0	0
14	Jesper Fast	Pittsburgh	RW	5	0	0	0	-1	0	4	3	7	3	3	0.00%	0	57	11.50	0	0	0	0	0	0	0	0	0	4	0	0.00%	5	0.00%	0	0	0
15	Cody Hodgson	Pittsburgh	C/LW/RW	3	0	0	0	2	0	2	1	1	0	0	0.00%	0	29	9.69	0	0	0	0	0	0	0	0	0	2	0	50.00%	2	0.00%	0	0	0
16	Jean Gabriel Pageau	Pittsburgh	C	5	0	0	0	-2	0	2	5	1	2	2	0.00%	0	39	7.98	0	0	0	0	0	0	0	0	0	6	0	46.00%	50	0.00%	0	0	0
17	Evgenii Dadonov	Pittsburgh	LW/RW	5	0	0	0	-2	2	3	5	3	0	3	0.00%	0	61	12.32	0	0	0	0	0	0	0	0	0	1	0	50.00%	6	0.00%	0	0	0
18	Jamie Oleksiak	Pittsburgh	D	3	0	0	0	-2	4	7	0	2	0	3	0.00%	3	40	13.55	0	0	0	0	0	0	0	0	0	3	0	0.00%	0	0.00%	0	0	0
19	Tyler Pitlick	Wilkes-Barre/Scranton (PIT)	RW	1	0	0	0	-1	0	0	0	0	0	1	0.00%	0	9	9.03	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0.00%	0	0	0
20	Viktor Arvidsson	Pittsburgh	LW/RW	5	0	0	0	-2	0	1	2	6	0	5	0.00%	1	34	6.98	0	0	0	0	0	0	0	0	0	2	0	0.00%	2	0.00%	0	0	0
21	Adam Erne	Pittsburgh	LW/RW	4	0	0	0	-1	4	3	3	3	1	2	0.00%	3	34	8.63	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00%	0	0	0
Statistiques d’équipe totales ou en moyenne				92	12	20	32	-16	48	110	88	144	48	104	8.33%	56	1473	16.02	3	6	9	30	118	1	2	3	1	120	1	46.88%	448	0.43	1	2	1

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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	GA	SA	PS %	ST	BG	S1
1	Anton Forsberg	Pittsburgh	4	1	2	1	0.903	3.70	211	13	134	0.00%	4	1	1
2	Jonathan Quick	Pittsburgh	2	0	1	0	0.878	4.00	90	6	49	0.00%	1	4	0
Statistiques d’équipe totales ou en moyenne			6	1	3	1	0.896	3.78	302	19	183		5	5	1

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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	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Adam Erne (contrat à 1 volet)	Pittsburgh	LW/RW	26	1995-04-20	No	217 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	550,000$	550,000$	0$	No				Lien
Alex Pietrangelo (contrat à 1 volet)	Pittsburgh	D	31	1990-01-18	No	215 Lbs	6 ft4	No	No	Yes	2	Pro & Farm	4,950,000$	4,950,000$	0$	No	4,950,000$			Lien
Alexander Wennberg (contrat à 1 volet)	Pittsburgh	C/LW/RW	26	1994-09-22	No	200 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	4,000,000$	5,000,000$	0$	No	4,000,000$			Lien
Anton Forsberg	Pittsburgh	G	28	1992-11-27 08:08:26	No	176 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,000,000$	1,000,000$	0$	No	1,000,000$	1,000,000$		Lien
Blake Wheeler (contrat à 1 volet)	Pittsburgh	C/RW	34	1986-08-31	No	226 Lbs	6 ft5	No	No	Yes	2	Pro & Farm	1,225,000$	1,225,000$	0$	No	1,225,000$			Lien
Cody Hodgson	Pittsburgh	C/LW/RW	31	1990-02-18	No	202 Lbs	6 ft0	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	No	800,000$			Lien
David Pastrnak (contrat à 1 volet)	Pittsburgh	RW	25	1996-05-25	No	189 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	4,400,000$	4,400,000$	0$	No				Lien
Evgeni Malkin (contrat à 1 volet)	Pittsburgh	C/LW/RW	34	1986-07-31	No	213 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	8,100,000$	8,100,000$	0$	No	8,100,000$			Lien
Evgenii Dadonov (contrat à 1 volet)	Pittsburgh	LW/RW	32	1989-03-12	No	186 Lbs	5 ft11	No	No	Yes	2	Pro & Farm	2,850,000$	2,850,000$	0$	No	2,850,000$			Lien
Jamie Oleksiak (contrat à 1 volet)	Pittsburgh	D	28	1992-12-21	No	260 Lbs	6 ft7	No	No	Yes	1	Pro & Farm	950,000$	950,000$	0$	No				Lien
Jean Gabriel Pageau	Pittsburgh	C	28	1992-11-11	No	172 Lbs	5 ft10	No	No	No	3	Pro & Farm	510,000$	510,000$	0$	No	510,000$	510,000$		Lien
Jesper Fast (contrat à 1 volet)	Pittsburgh	RW	29	1991-12-02 06:52:04	No	191 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	1,000,000$	1,000,000$	0$	No	1,000,000$	1,000,000$		Lien
John Carlson (contrat à 1 volet)	Pittsburgh	D	31	1990-01-10	No	219 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	5,200,000$	5,200,000$	0$	No	5,200,000$			Lien
Jonathan Quick (contrat à 1 volet)	Pittsburgh	G	35	1986-01-22 06:17:05	No	227 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	1,575,000$	1,575,000$	0$	No
Kevin Fiala (contrat à 1 volet)	Pittsburgh	LW/RW	24	1996-07-22	No	204 Lbs	5 ft10	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	0$	No				Lien
Kevin Shattenkirk (contrat à 1 volet)	Pittsburgh	D	32	1989-01-29	No	225 Lbs	5 ft11	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	0$	No				Lien
Lars Eller (contrat à 1 volet)	Pittsburgh	C/LW	32	1989-05-08	No	216 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	2,847,500$	2,847,500$	0$	No				Lien
Noah Dobson	Pittsburgh	D	21	2000-01-07 09:06:51	Yes	195 Lbs	6 ft4	No	No	No	3	Pro & Farm	900,000$	900,000$	0$	No	900,000$	900,000$		Lien
Tony DeAngelo	Pittsburgh	D	25	1995-10-24	No	183 Lbs	5 ft11	No	No	No	4	Pro & Farm	6,500,000$	6,500,000$	0$	No	6,500,000$	6,500,000$	6,500,000$	Lien
Travis Konecny (contrat à 1 volet)	Pittsburgh	LW/RW	24	1997-03-11	No	183 Lbs	5 ft10	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	0$	No				Lien
Tyson Barrie (contrat à 1 volet)	Pittsburgh	D	29	1991-07-26	No	203 Lbs	5 ft10	No	No	Yes	4	Pro & Farm	3,250,000$	3,250,000$	0$	No	3,250,000$	3,250,000$	3,250,000$	Lien
Viktor Arvidsson (contrat à 1 volet)	Pittsburgh	LW/RW	28	1993-04-08	No	187 Lbs	5 ft9	No	No	Yes	3	Pro & Farm	910,000$	910,000$	0$	No	910,000$	910,000$		Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	28.77	204 Lbs	6 ft1	2.05	2,818,977$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
62,017,500$	41,195,000$	14,070,000$	9,750,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Evgeni Malkin	Kevin Fiala	38	1	2	2
2	Travis Konecny	Lars Eller	David Pastrnak	32	1	2	2
3	Evgenii Dadonov	Blake Wheeler	Jesper Fast	26	1	2	2
4	Viktor Arvidsson	Jean Gabriel Pageau	Adam Erne	4	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Tony DeAngelo	John Carlson	40	1	2	2
2	Kevin Shattenkirk	Noah Dobson	30	1	2	2
3	Tyson Barrie	Jamie Oleksiak	20	1	2	2
4	Tony DeAngelo	John Carlson	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Evgeni Malkin	Kevin Fiala	55	1	2	2
2	Travis Konecny	Lars Eller	David Pastrnak	45	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Tony DeAngelo	Noah Dobson	60	1	2	2
2	Kevin Shattenkirk	John Carlson	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Lars Eller	Blake Wheeler	60	1	2	2
2	Jean Gabriel Pageau	Viktor Arvidsson	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jamie Oleksiak	John Carlson	60	1	2	2
2	Kevin Shattenkirk	Noah Dobson	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Lars Eller	60	1	2	2	Noah Dobson	John Carlson	60	1	2	2
2		40	1	2	2	Kevin Shattenkirk	Jamie Oleksiak	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Evgeni Malkin	Kevin Fiala	60	1	2	2
2		David Pastrnak	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Tony DeAngelo	John Carlson	60	1	2	2
2	Kevin Shattenkirk	Tyson Barrie	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Evgeni Malkin	David Pastrnak	Tony DeAngelo	Noah Dobson

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Lars Eller	Evgeni Malkin		John Carlson	Kevin Shattenkirk

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Kevin Fiala, Evgeni Malkin, Jesper Fast	Kevin Fiala, Blake Wheeler	Jesper Fast

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Noah Dobson, Tony DeAngelo, John Carlson	Tyson Barrie	Jamie Oleksiak, Kevin Shattenkirk

Tirs de pénalité
Evgeni Malkin, , David Pastrnak, Evgenii Dadonov, Kevin Fiala

Gardien
#1 : Anton Forsberg, #2 : Jonathan Quick

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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	Washington	5	1	4	0	0	0	0	0	12	19	-7	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	8	12	-4	2	0.200	12	20	32	0	0	4	3	5	0	144	61	37	46	0	183	56	48	110	15	3	20.00%	21	7	66.67%	1	85	177	48.02%	90	190	47.37%	35	81	43.21%	124	87	115	33	62	31
	Total	5	1	4	0	0	0	0	0	12	19	-7	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	8	12	-4	2	0.200	12	20	32	0	0	4	3	5	0	144	61	37	46	0	183	56	48	110	15	3	20.00%	21	7	66.67%	1	85	177	48.02%	90	190	47.37%	35	81	43.21%	124	87	115	33	62	31
	_Since Last GM Reset	5	1	4	0	0	0	0	0	12	19	-7	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	8	12	-4	2	0.200	12	20	32	0	0	4	3	5	0	144	61	37	46	0	183	56	48	110	15	3	20.00%	21	7	66.67%	1	85	177	48.02%	90	190	47.37%	35	81	43.21%	124	87	115	33	62	31
	_Vs Conference	5	1	4	0	0	0	0	0	12	19	-7	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	8	12	-4	2	0.200	12	20	32	0	0	4	3	5	0	144	61	37	46	0	183	56	48	110	15	3	20.00%	21	7	66.67%	1	85	177	48.02%	90	190	47.37%	35	81	43.21%	124	87	115	33	62	31
	_Vs Division	5	1	4	0	0	0	0	0	12	19	-7	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	8	12	-4	2	0.200	12	20	32	0	0	4	3	5	0	144	61	37	46	0	183	56	48	110	15	3	20.00%	21	7	66.67%	1	85	177	48.02%	90	190	47.37%	35	81	43.21%	124	87	115	33	62	31

			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
5	2	L3	12	20	32	144	183	56	48	110	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	12	19

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

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	8	12

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

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
15	3	20.00%	21	7	66.67%	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
61	37	46	0	4	3	5	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
85	177	48.02%	90	190	47.37%	35	81	43.21%

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
124	87	115	33	62	31

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	Lien
1 - 2022-11-25	4	Pittsburgh	2	Washington	3	AL	X	Sommaire du match
3 - 2022-11-26	12	Pittsburgh	3	Washington	2	AW		Sommaire du match
5 - 2022-11-27	20	Washington	4	Pittsburgh	3	BL		Sommaire du match
7 - 2022-11-28	28	Washington	3	Pittsburgh	1	BL		Sommaire du match
9 - 2022-11-29	36	Pittsburgh	3	Washington	7	AL		Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6200	5400	2600	4800	1075
Prix des billets	89	63	38	30	187
Assistance	12,400	10,800	5,200	9,600	1,962
Attendance PCT	100.00%	100.00%	100.00%	100.00%	91.26%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
39	19981 - 99.53%	1,779,634$	3,559,267$	20075	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	62,017,500$	63,017,500$	0$	425,216$

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$	22	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$	23,490,178$	23,490,178$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	65,000,000$	65,000,000$	-40,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Kevin Fiala	AGE:24	PO:71	OV:0
Alexander Wennberg	AGE:26	PO:69	OV:0
Travis Konecny	AGE:24	PO:69	OV:0
Adam Erne	AGE:26	PO:65	OV:0
Viktor Arvidsson	AGE:28	PO:60	OV:0
Kerby Rychel (R)	AGE:26	PO:56	OV:0
Matt Nieto	AGE:28	PO:55	OV:0
Milan Lucic	AGE:33	PO:47	OV:0
Jesse Joensuu	AGE:33	PO:44	OV:0
Cody Hodgson	AGE:31	PO:44	OV:0
Evgenii Dadonov	AGE:32	PO:42	OV:0
Wayne Simmonds	AGE:32	PO:36	OV:0
Evgeni Malkin	AGE:34	PO:35	OV:0
Lars Eller	AGE:32	PO:33	OV:0
Eric Staal	AGE:36	PO:28	OV:0
Michael Frolik	AGE:33	PO:27	OV:0

Alexander Wennberg	AGE:26	PO:69	OV:0
Cody Hodgson	AGE:31	PO:44	OV:0
Evgeni Malkin	AGE:34	PO:35	OV:0
Lars Eller	AGE:32	PO:33	OV:0
Zac Dalpe	AGE:31	PO:31	OV:0
Jean Gabriel Pageau	AGE:28	PO:31	OV:0
Eric Staal	AGE:36	PO:28	OV:0
Blake Wheeler	AGE:34	PO:13	OV:0

David Pastrnak	AGE:25	PO:82	OV:0
Kevin Fiala	AGE:24	PO:71	OV:0
Alexander Wennberg	AGE:26	PO:69	OV:0
Travis Konecny	AGE:24	PO:69	OV:0
Adam Erne	AGE:26	PO:65	OV:0
Viktor Arvidsson	AGE:28	PO:60	OV:0
Tyler Pitlick	AGE:29	PO:58	OV:0
Matt Nieto	AGE:28	PO:55	OV:0
Jesse Joensuu	AGE:33	PO:44	OV:0
Cody Hodgson	AGE:31	PO:44	OV:0
Evgenii Dadonov	AGE:32	PO:42	OV:0
Jesper Fast	AGE:29	PO:38	OV:0
Wayne Simmonds	AGE:32	PO:36	OV:0
Evgeni Malkin	AGE:34	PO:35	OV:0
Zac Dalpe	AGE:31	PO:31	OV:0
Michael Frolik	AGE:33	PO:27	OV:0
Ryan Callahan	AGE:36	PO:16	OV:0
Blake Wheeler	AGE:34	PO:13	OV:0

Défense #1

Défense #2

Gardien

Noah Dobson (R)	AGE:21	PO:90	OV:0
Tony DeAngelo	AGE:25	PO:77	OV:0
John Carlson	AGE:31	PO:65	OV:0
Ian McCoshen	AGE:25	PO:64	OV:0
Jamie Oleksiak	AGE:28	PO:64	OV:0
Tyson Barrie	AGE:29	PO:58	OV:0
Kevin Shattenkirk	AGE:32	PO:50	OV:0

Alex Pietrangelo	AGE:31	PO:47	OV:0
Keaton Ellerby	AGE:32	PO:40	OV:0
Yannick Weber	AGE:32	PO:28	OV:0
Ladislav Smid	AGE:35	PO:21	OV:0
Clayton Stoner	AGE:36	PO:20	OV:0
Alexandre Picard	AGE:35	PO:18	OV:0
Keith Ballard	AGE:38	PO:17	OV:0

Eric Comrie (R)	AGE:25	PO:54	OV:0
Anton Forsberg	AGE:28	PO:49	OV:0
Jonathan Quick	AGE:35	PO:43	OV:0
Karri Ramo	AGE:34	PO:28	OV:0
Cam Talbot	AGE:33	PO:23	OV:0

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
Andrei Buyalsky	Pittsburgh	20	143
Brendan Warren	Pittsburgh	14	142
Cam York	Pittsburgh	18	27
Colton White	Pittsburgh	14	153
Conner Bleackley	Pittsburgh	13	45
Connor Hall	Pittsburgh	15	121
Daniel Vladar	Pittsburgh	14	132
Dominik Bokk	Pittsburgh	17	17
Evan Nause	Pittsburgh	20	47
Felix Sandstrom	Pittsburgh	14	121
Ian Mitchell	Pittsburgh	16	49
Jacob Cederholm	Pittsburgh	15	93
Josh Anderson	Pittsburgh	15	117
Joshua Lopina	Pittsburgh	20	147
Kalle Vaisanen	Pittsburgh	20	167
Louis Belpedio	Pittsburgh	13	106
Martin Gernat	Pittsburgh	10	64
Martins Dzierkals	Pittsburgh	14	115
Mason McDonald	Pittsburgh	13	51
Matthew Knies	Pittsburgh	20	27
Michael Rasmussen	Pittsburgh	16	19
Paul Bittner	Pittsburgh	14	51
Samuel Dove-McFalls	Pittsburgh	14	154
Sergey Zborovskiy	Pittsburgh	14	134

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
21
22
23
24
25

La base de données des nouvelles du STHS n'a pas été trouvée. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.

Pittsburgh Historique de transactions

[2023-07-26 20:26:33] - Pittsburgh was eliminated at round 1 of year 20.
[2023-07-16 19:05:26] - Wilkes-Barre/Scranton didn't make playoff for year 20.
[2023-06-28 20:53:06] - New Record for Team's Most Penalties Minutes (63) in 1 Game for Pittsburgh!
[2023-05-22 21:27:46] - New Record for Team's Most Shots Blocked (25) in 1 Game for Pittsburgh!
[2023-05-18 08:16:04] - TRADE : From Washington to Pittsburgh : Ian Mitchell (P), 1 000 000 $ (Money), Y:22-RND:1-WSH.
[2023-05-18 08:16:04] - TRADE : From Pittsburgh to Washington : Steven Stamkos.
[2023-05-08 21:36:45] - Michael Frolik has been selected as assistant for Wilkes-Barre/Scranton.
[2023-05-08 21:36:45] - Unknown Player is no longer as assistant for Wilkes-Barre/Scranton.
[2023-03-08 08:09:58] - TRADE : From Pittsburgh to Montreal : Martin Kaut (P), Y:22-RND:6-PIT.
[2023-03-08 08:09:58] - TRADE : From Montreal to Pittsburgh : Blake Wheeler.
[2023-03-06 21:33:33] - TRADE : From Toronto to Pittsburgh : Adam Erne, Steven Stamkos.
[2023-03-06 21:33:33] - TRADE : From Pittsburgh to Toronto : Curtis Lazar, Jakub Vrana, Y:21-RND:6-PIT, Y:22-RND:3-PIT.
[2023-03-03 19:27:03] - New Record for Team's Most Penalties Minutes (57) in 1 Game for Pittsburgh!
[2023-03-03 19:26:44] - Michael Frolik has been selected as assistant for Wilkes-Barre/Scranton.
[2023-03-03 19:26:44] - Unknown Player is no longer as assistant for Wilkes-Barre/Scranton.
[2023-03-03 19:26:44] - Cody Hodgson has been selected as assistant for Wilkes-Barre/Scranton.
[2023-03-03 19:26:44] - Unknown Player is no longer as assistant for Wilkes-Barre/Scranton.
[2023-03-03 19:26:44] - Eric Staal has been selected as captain for Wilkes-Barre/Scranton.
[2023-03-03 19:26:44] - Unknown Player is no longer captain for Wilkes-Barre/Scranton.
[2023-03-03 19:26:44] - Evgeni Malkin has been selected as assistant for Pittsburgh.
[2023-03-03 19:26:44] - Unknown Player is no longer as assistant for Pittsburgh.
[2023-01-27 19:05:54] - Cam Talbot signed with Pittsburgh for 500 000 $ for 1 year(s).
[2023-01-27 19:05:54] - Cam Talbot was added to Pittsburgh.
[2022-11-19 09:59:36] - Drew Shore was released.
[2022-11-19 09:59:36] - Pittsburgh paid 0 $ to release Drew Shore.
[2022-11-19 09:57:28] - Dana Tyrell was released.
[2022-11-19 09:57:28] - Pittsburgh paid 0 $ to release Dana Tyrell.
[2022-11-18 11:47:57] - Jean Gabriel Pageau signed with Pittsburgh for 510 000 $ for 3 year(s).
[2022-11-18 11:47:57] - Jean Gabriel Pageau was added to Pittsburgh.
[2022-11-18 11:26:20] - Blake Geoffrion was released.
[2022-11-18 11:26:20] - Pittsburgh paid 0 $ to release Blake Geoffrion.
[2022-11-16 01:21:07] - Carter Hutton was released.
[2022-11-16 01:21:07] - Pittsburgh paid 0 $ to release Carter Hutton.
[2022-11-16 01:20:48] - Oscar Moller was released.
[2022-11-16 01:20:48] - Pittsburgh paid 0 $ to release Oscar Moller.
[2022-11-15 21:26:23] - Milan Lucic signed with Pittsburgh for 500 000 $ for 2 year(s).
[2022-11-15 21:26:23] - Milan Lucic was added to Pittsburgh.
[2022-11-15 21:26:07] - Wayne Simmonds signed with Pittsburgh for 610 000 $ for 1 year(s).
[2022-11-15 21:26:07] - Wayne Simmonds was added to Pittsburgh.
[2022-11-15 21:25:39] - Michael Frolik signed with Pittsburgh for 500 000 $ for 2 year(s).
[2022-11-15 21:25:39] - Michael Frolik was added to Pittsburgh.
[2022-11-15 21:25:12] - Eric Staal signed with Pittsburgh for 500 000 $ for 1 year(s).
[2022-11-15 21:25:12] - Eric Staal was added to Pittsburgh.
[2022-11-14 14:47:43] - Viktor Arvidsson signed with Pittsburgh for 910 000 $ for 3 year(s) / Option : 1 Way Contract .
[2022-11-14 14:47:43] - Viktor Arvidsson was added to Pittsburgh.
[2022-11-10 20:57:59] - Jesper Fast signed with Pittsburgh for 1 000 000 $ for 3 year(s) / Option : 1 Way Contract .
[2022-11-10 20:57:59] - Jesper Fast was added to Pittsburgh.

[2023-07-28 12:23:39] Alexander Wennberg from Pittsburgh is back from Upper Body Injury.
[2023-07-27 21:19:46] Alex Pietrangelo from Pittsburgh is back from Torso Injury.
[2023-07-26 20:26:33] Tyler Pitlick of Pittsburgh was sent to farm.
[2023-07-26 20:26:33] Game 36 - Alexander Wennberg from Pittsburgh is injured (Upper Body) and is out for 1 week.
[2023-07-26 20:26:18] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-07-26 20:26:18] Tyler Pitlick of Pittsburgh was sent to pro.
[2023-07-25 23:15:09] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-07-24 19:46:52] David Pastrnak from Pittsburgh is back from Left Hand Injury.
[2023-07-24 19:46:51] Game 20 - David Pastrnak from Pittsburgh is injured (Left Hand) and is out for 4 days.
[2023-07-24 19:46:47] Auto Lines Function has been run for Pittsburgh.
[2023-07-24 19:46:47] Pittsburgh lines errors : Normal line # 2 Defense #2 is empty.
[2023-07-24 19:46:45] Pittsburgh lines errors : Normal line # 2 Defense #2 is empty. PK line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. PP line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. LastMinDef line Defense #3 is empty. Extra Defense #1 is empty. Extra Defense #4 is empty.
[2023-07-24 19:44:33] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-07-22 02:33:47] Game 12 - Alex Pietrangelo from Pittsburgh is injured (Torso) and is out for 2 weeks.
[2023-07-22 02:33:35] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-07-18 20:22:17] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-07-13 17:59:26] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-07-12 19:26:06] Wilkes-Barre/Scranton lines for next game are empty. Current rosters/lines are not erased. But, Pittsburgh lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2023-07-10 19:58:51] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-07-07 21:07:44] Wilkes-Barre/Scranton lines for next game are empty. Current rosters/lines are not erased. But, Pittsburgh lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2023-07-07 21:03:40] Wilkes-Barre/Scranton lines for next game are empty. Current rosters/lines are not erased.
[2023-07-07 21:02:54] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-07-05 20:54:55] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-07-03 22:08:30] Wilkes-Barre/Scranton lines for next game are empty. Current rosters/lines are not erased.
[2023-07-03 22:08:25] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-06-28 20:56:18] Wilkes-Barre/Scranton lines for next game are empty. Current rosters/lines are not erased.

Pas de blessure ou de suspension.

Pittsburgh Leaders statistiques (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	PKS	GW	GT	FO%	P/20	PSG	PSS
1	Nick Schmaltz	79	36	50	86	9	18	54	156	330	10.91%	12	1608	20.36	4	19	23	54	1	2	2	46.97	1.07	3	9
2	Jack Eichel	82	31	50	81	-4	40	54	148	290	10.69%	10	1664	20.30	8	14	22	63	2	5	0	46.72	0.97	1	10
3	Jonathan Huberdeau	82	24	42	66	14	42	137	81	232	10.34%	4	1636	19.96	6	12	18	42	0	3	3	35.76	0.81	0	5
4	Danton Heinen	82	26	30	56	-4	20	78	82	243	10.70%	9	1639	19.99	9	9	18	46	1	4	0	45.21	0.68	2	7
5	Torey Krug	76	13	42	55	-4	12	16	61	132	9.85%	114	1673	22.02	6	9	15	66	0	3	0	0.00%	0.66	0	0

Pittsburgh 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	A	PS %	PSA
1	Ville Husso	42	17	17	5	0.898	3.34	2375	0	1	132	1300	1	0.643	14
2	Louis Domingue	36	14	16	3	0.912	2.96	2010	2	3	99	1119	0	0.773	22
3	Alexandar Georgiyev	10	4	3	3	0.911	2.74	592	4	0	27	303	0	0.800	5

Pittsburgh 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
20	82	29	36	0	2	5	4	6	257	264	-7	41	18	21	0	0	1	1	0	118	122	-4	41	11	15	0	2	4	3	6	139	142	-3	81	257	453	710	0	4	82	102	67	11	2660	894	872	876	60	2722	763	710	1398	288	58	20.14%	280	52	81.43%	1	1406	2989	47.04%	1468	3111	47.19%	642	1334	48.13%	1962	1374	1999	591	1026	506
Total Saison régulière	82	33	33	0	3	1	8	4	232	228	4	41	19	14	0	3	0	3	2	123	105	18	41	14	19	0	0	1	5	2	109	123	-14	93	232	406	638	0	3	79	71	71	19	2466	785	776	877	70	2529	804	938	1431	328	62	18.90%	340	65	80.88%	2	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	1997	1394	1954	598	1037	523
Séries éliminatoires
Total Séries éliminatoires	5	1	4	0	0	0	0	0	12	19	-7	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	8	12	-4	2	12	20	32	0	0	4	3	5	0	144	61	37	46	0	183	56	48	110	15	3	20.00%	21	7	66.67%	1	85	177	48.02%	90	190	47.37%	35	81	43.21%	124	87	115	33	62	31

Pittsburgh Leaders statistiques (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 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
	GP: 5 \| W: 1 \| L: 4 GF: 12 \| GA: 19 \| PP%: 20.00% \| PK%: 66.67% DG: Sebastien Lefebvre \| Morale : 50 \| Moyenne d’équipe : N/A