Wilkes-Barre/Scranton
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Formation
Points
Informations joueurs
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Statistiques d’équipe
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Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	Columbus 35-42-5, 75pts	2	FINAL	0	Pittsburgh 44-33-5, 93pts

Team Stats
L1	Streak	L3
19-21-1	Home Record	25-14-2
16-21-4	Away Record	19-19-3
4-5-1	Last 10 Games	4-6-0
2.67	Buts par match	2.83
3.20	Buts contre par match	2.78
16.88%	Pourcentage en avantage numérique	18.90%
80.56%	Pourcentage en désavantage numérique	80.88%

Pittsburgh
44-33-5, 93pts

FINAL

Floride
47-27-8, 102pts

Team Stats
L3	Streak	W3
25-14-2	Home Record	23-14-4
19-19-3	Away Record	24-13-4
4-6-0	Last 10 Games	6-3-1
2.83	Buts par match	3.12
2.78	Buts contre par match	2.89
18.90%	Pourcentage en avantage numérique	17.83%
80.88%	Pourcentage en désavantage numérique	78.57%

Meneurs d'équipe
	Buts Alexander Wennberg 26	Passes Tony DeAngelo 43

	Points Alexander Wennberg 65	Plus/Moins Alexander Wennberg 16

	Victoires Jonathan Quick 24	Pourcentage d’arrêts Anton Forsberg 0.916

Statistiques d’équipe
Buts pour 232 2.83 GFG	Tirs pour 2466 30.07 Avg	Pourcentage en avantage numérique 18.9% 62 GF	Début de zone offensive 41.1%
Buts contre 228 2.78 GAA	Tirs contre 2529 30.84 Avg	Pourcentage en désavantage numérique 80.9%% 65 GA	Début de la zone défensive 41.0%

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	18,310
	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	64,149,263$
	Plafond salarial disponible	850,737$
	Valeur du plafond salarial spécial	425,216$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	66,620,997$
	Dépenses annuelles à ce jour	67,953,406$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	19,930,911$
	Compte bancaire projeté	19,930,911$
Historique d'équipe
	Saison actuelle	44-33-5 (93PTS)
	Historique	88-66-14 (0.524%)
	Apparitions en séries éliminatoires	0
	Historique en séries éliminatoires (W-L)	-
	Coupe Stanley	0

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire 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	79	31	93	99	82	93	93	86	81	79	80	57	87	47	41	82	50	0	0	25	1	4,400,000$
4	Cody Hodgson	X	X	X		100.00	65	32	89	70	74	91	92	71	77	72	69	61	87	64	57	45	50	0	0	31	2	800,000$
5	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$
6	Evgeni Malkin (A)	X	X	X		100.00	94	52	41	71	77	83	99	84	94	81	80	79	85	93	77	35	50	0	0	34	2	8,100,000$
7	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$
8	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$
9	Alexander Wennberg (C)	X	X	X		100.00	83	35	94	90	92	91	92	82	91	80	80	68	85	52	52	69	50	0	0	26	2	5,000,000$
10	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$
11	Travis Konecny		X	X		100.00	86	38	86	97	81	87	90	83	77	79	80	58	87	43	42	69	50	0	0	24	1	3,000,000$
12	Kevin Fiala		X	X		100.00	74	33	98	99	82	86	89	84	81	77	80	62	88	47	45	71	50	0	0	24	1	3,500,000$
13	Adam Erne		X	X		100.00	78	37	89	83	90	77	83	72	77	67	73	65	83	50	48	65	50	0	0	26	1	550,000$
14	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$
15	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$
16	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$
17	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$
18	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$
19	Kevin Shattenkirk				X	100.00	71	34	79	81	77	87	86	66	50	68	64	92	75	79	69	50	50	0	0	32	1	4,000,000$
Rayé
1	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$
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			99.00	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		98.00	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	91	99	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	93	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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Alexander Wennberg	Pittsburgh	C/LW/RW	82	26	39	65	16	24	0	70	108	254	72	202	10.24%	8	1576	19.22	6	16	22	55	267	0	0	0	2	46	2	2	54.64%	1131	1	0	0.82	3	12	0	0	0	6	3	4
2	Evgeni Malkin	Pittsburgh	C/LW/RW	82	19	43	62	-1	188	40	283	193	261	76	157	7.28%	16	1684	20.54	6	17	23	61	270	0	0	0	3	59	2	1	58.37%	2270	1	0	0.74	5	11	1	1	6	5	3	7
3	Tony DeAngelo	Pittsburgh	D	81	19	43	62	-6	104	0	154	103	159	42	118	11.95%	120	1854	22.90	11	16	27	94	289	0	0	0	1	93	1	3	0.00%	0	0	1	0.67	0	0	0	0	0	3	4	4
4	Kevin Fiala	Pittsburgh	LW/RW	82	25	32	57	-8	16	0	23	117	279	58	185	8.96%	3	1538	18.76	5	13	18	63	259	0	0	0	0	1	5	1	50.82%	122	2	0	0.74	4	9	0	0	0	5	2	1
5	David Pastrnak	Pittsburgh	RW	82	25	30	55	-7	8	0	23	95	223	48	157	11.21%	7	1615	19.70	8	10	18	47	277	0	0	0	1	22	6	3	43.48%	115	0	1	0.68	2	6	0	0	0	3	7	3
6	Noah Dobson	Pittsburgh	D	81	12	36	48	14	68	0	115	80	113	42	77	10.62%	128	1713	21.16	6	10	16	63	246	0	2	2	1	203	0	2	0.00%	0	0	0	0.56	0	0	0	0	0	3	2	2
7	John Carlson	Pittsburgh	D	82	8	36	44	-3	88	20	70	78	118	37	61	6.78%	129	2006	24.47	4	12	16	64	270	0	2	2	5	257	2	0	0.00%	0	0	0	0.44	0	0	0	2	2	1	3	2
8	Travis Konecny	Pittsburgh	LW/RW	60	13	23	36	10	81	15	75	53	129	35	109	10.08%	2	984	16.40	3	6	9	21	158	0	0	0	0	4	2	0	49.48%	97	0	0	0.73	2	4	1	2	0	2	3	0
9	Alex Pietrangelo	Pittsburgh	D	82	11	24	35	5	89	25	108	87	105	34	53	10.48%	120	1745	21.28	6	5	11	53	227	0	0	0	0	179	2	1	0.00%	0	1	0	0.40	0	0	0	1	4	1	3	2
10	Lars Eller	Pittsburgh	C/LW	82	12	15	27	0	20	0	65	145	123	50	92	9.76%	17	1353	16.50	2	0	2	12	98	0	0	0	9	292	1	1	46.41%	1866	1	0	0.40	0	0	0	0	0	1	1	3
11	Kevin Shattenkirk	Pittsburgh	D	80	6	19	25	0	50	0	104	48	64	14	37	9.38%	126	1395	17.45	0	1	1	7	27	0	0	0	1	250	1	0	0.00%	0	0	0	0.36	0	0	0	0	0	0	0	2
12	Jesper Fast	Pittsburgh	RW	81	11	10	21	1	20	0	55	43	104	30	80	10.58%	4	921	11.38	0	0	0	0	7	0	0	0	0	70	4	0	44.53%	128	0	0	0.46	0	0	0	0	0	0	2	3
13	Tyson Barrie	Pittsburgh	D	72	3	13	16	-3	40	10	56	46	50	17	27	6.00%	78	1046	14.54	0	1	1	1	5	0	0	0	2	94	1	0	0.00%	0	0	0	0.31	0	0	0	0	2	0	0	1
14	Adam Erne	Pittsburgh	LW/RW	83	6	6	12	4	12	0	37	29	60	15	35	10.00%	1	469	5.66	0	0	0	0	0	0	0	0	0	0	1	0	45.83%	24	0	0	0.51	0	0	0	0	0	0	1	0
15	Jean Gabriel Pageau	Pittsburgh	C	74	7	3	10	-3	4	0	29	69	49	7	41	14.29%	4	578	7.82	0	0	0	0	1	1	0	1	6	128	1	0	46.81%	673	0	0	0.35	0	0	0	0	0	1	0	0
16	Blake Wheeler	Pittsburgh	C/RW	78	5	3	8	-12	55	5	76	51	58	15	42	8.62%	5	990	12.69	0	0	0	4	14	0	0	0	1	173	0	0	52.83%	600	0	0	0.16	0	0	1	0	0	1	0	0
17	Viktor Arvidsson	Pittsburgh	LW/RW	82	4	3	7	0	6	0	16	66	84	30	56	4.76%	5	957	11.67	0	0	0	0	0	1	0	1	4	231	1	0	41.33%	75	0	0	0.15	0	0	0	0	0	0	1	0
18	Cody Hodgson	Pittsburgh	C/LW/RW	23	1	5	6	6	0	0	7	2	19	3	10	5.26%	1	160	6.98	0	0	0	0	3	0	0	0	0	8	0	0	41.18%	17	0	0	0.75	0	0	0	0	0	0	0	0
19	Evgenii Dadonov	Pittsburgh	LW/RW	20	2	4	6	-2	10	0	17	12	28	5	21	7.14%	1	291	14.55	0	2	2	6	45	0	0	0	0	0	0	0	42.31%	26	0	0	0.41	0	1	0	0	0	0	1	0
20	Jamie Oleksiak	Pittsburgh	D	17	1	2	3	-1	29	5	26	6	5	3	2	20.00%	22	213	12.59	0	0	0	0	0	0	0	0	0	48	0	0	0.00%	0	0	0	0.28	0	0	0	0	1	1	0	0
21	Tyler Pitlick	Wilkes-Barre/Scranton (PIT)	RW	38	0	1	1	-5	6	0	8	9	24	7	16	0.00%	2	199	5.25	0	0	0	0	0	0	0	0	0	0	0	0	35.00%	20	0	0	0.10	0	0	0	0	0	0	0	0
22	Eric Staal	Wilkes-Barre/Scranton (PIT)	C/LW	12	0	0	0	0	6	0	3	4	1	1	1	0.00%	0	72	6.07	0	0	0	0	0	0	0	0	0	0	0	0	47.14%	70	0	0	0.00%	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1456	216	390	606	5	924	120	1420	1444	2310	641	1579	9.35%	799	23368	16.05	57	109	166	551	2470	2	4	6	36	2167	32	14	51.95%	7234	6	2	0.52	16	43	3	6	15	33	36	34

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Jonathan Quick	Pittsburgh	48	24	21	3	0.908	2.87	2869	4	2	137	1495	0	0.800	30	48	34	4	3	2
2	Anton Forsberg	Pittsburgh	36	20	12	2	0.916	2.47	2116	2	1	87	1034	1	0.600	15	34	48	2	3	1
Statistiques d’équipe totales ou en moyenne			84	44	33	5	0.911	2.70	4986	6	3	224	2529	1		45	82	82	6	6	3

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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	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	Kevin Fiala	Evgeni Malkin	David Pastrnak	34	1	2	2
2	Travis Konecny	Alexander Wennberg	Blake Wheeler	30	1	2	2
3	Evgenii Dadonov	Lars Eller	Jesper Fast	20	1	2	2
4	Viktor Arvidsson	Jean Gabriel Pageau	Adam Erne	16	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	Alex Pietrangelo	Noah Dobson	30	1	2	2
3	Kevin Shattenkirk	Tyson Barrie	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	Alexander Wennberg	Evgeni Malkin	David Pastrnak	60	1	2	2
2	Kevin Fiala	Lars Eller	Travis Konecny	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Tony DeAngelo	Noah Dobson	60	1	2	2
2	Alex Pietrangelo	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	Travis Konecny	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Alex Pietrangelo	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	Alex Pietrangelo	John Carlson	60	1	2	2
2	Alexander Wennberg	40	1	2	2	Kevin Shattenkirk	Tony DeAngelo	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	Alexander Wennberg	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	Alex Pietrangelo	40	1	2	2

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

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Lars Eller	Evgeni Malkin	Alexander Wennberg	Alex Pietrangelo	Kevin Shattenkirk

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

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Alex Pietrangelo, Tony DeAngelo, Kevin Shattenkirk	Alex Pietrangelo	Tony DeAngelo, Kevin Shattenkirk

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

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

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	Anaheim	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	5	3	2	2	0.500	7	10	17	0	0	4	1	2	0	52	22	12	18	0	63	21	18	30	8	2	25.00%	7	1	85.71%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	47	33	48	13	23	11
2	Arizona	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	1	2	4	1.000	8	16	24	0	0	2	1	5	0	82	15	33	34	0	56	22	12	40	4	1	25.00%	5	0	100.00%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	50	36	44	14	24	12
3	Boston	5	3	0	0	0	0	2	0	24	13	11	2	1	0	0	0	0	1	0	9	3	6	3	2	0	0	0	0	1	0	15	10	5	10	1.000	24	40	64	0	0	6	9	7	3	140	43	57	36	11	134	44	35	87	18	4	22.22%	13	3	76.92%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	132	94	112	36	64	34
4	Buffalo	4	1	3	0	0	0	0	0	7	13	-6	2	1	1	0	0	0	0	0	5	5	0	2	0	2	0	0	0	0	0	2	8	-6	2	0.250	7	12	19	0	0	1	2	4	0	110	29	33	48	0	97	51	32	57	8	1	12.50%	15	6	60.00%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	96	67	92	27	50	26
5	Chicago	2	1	0	0	0	1	0	0	8	7	1	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	8	15	23	0	0	5	1	2	0	50	24	12	14	0	70	15	14	29	9	2	22.22%	7	3	57.14%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	48	34	48	14	26	12
6	Columbus	6	3	2	0	0	0	1	0	15	14	1	3	2	1	0	0	0	0	0	8	7	1	3	1	1	0	0	0	1	0	7	7	0	8	0.667	15	26	41	0	1	1	5	8	2	200	64	51	81	9	156	38	165	125	49	5	10.20%	30	5	83.33%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	152	105	134	47	77	40
7	Dallas	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	4	7	11	0	0	3	0	1	0	57	18	22	17	0	38	17	14	40	8	2	25.00%	6	0	100.00%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	51	36	44	13	24	12
8	Detroit	4	1	3	0	0	0	0	0	7	14	-7	2	0	2	0	0	0	0	0	4	9	-5	2	1	1	0	0	0	0	0	3	5	-2	2	0.250	7	12	19	0	0	3	1	3	0	107	37	21	49	0	134	22	27	72	9	0	0.00%	10	4	60.00%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	90	61	98	30	50	25
9	Edmonton	3	1	2	0	0	0	0	0	7	9	-2	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	7	12	19	0	0	3	2	2	0	100	34	23	43	0	91	30	31	53	11	2	18.18%	12	3	75.00%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	73	52	68	20	37	18
10	Floride	4	2	2	0	0	0	0	0	8	10	-2	2	1	1	0	0	0	0	0	4	5	-1	2	1	1	0	0	0	0	0	4	5	-1	4	0.500	8	15	23	0	0	2	4	2	0	114	36	33	45	0	134	43	41	86	13	2	15.38%	17	2	88.24%	1	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	92	64	94	28	52	26
11	LosAngeles	3	1	0	0	1	0	1	0	10	6	4	2	0	0	0	1	0	1	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	6	1.000	10	17	27	0	0	3	2	3	2	93	31	27	32	5	93	36	27	51	12	1	8.33%	6	0	100.00%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	80	57	68	22	38	20
12	Minnesota	3	2	1	0	0	0	0	0	15	10	5	1	1	0	0	0	0	0	0	7	2	5	2	1	1	0	0	0	0	0	8	8	0	4	0.667	15	26	41	0	0	9	4	2	0	101	45	25	31	0	105	25	30	44	12	4	33.33%	14	4	71.43%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	71	48	69	22	38	19
13	Montreal	4	1	3	0	0	0	0	0	10	13	-3	2	1	1	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	4	9	-5	2	0.250	10	19	29	0	0	3	4	3	0	118	36	39	43	0	133	45	40	54	14	3	21.43%	18	5	72.22%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	91	64	98	29	49	24
14	NYRangers	6	2	1	0	1	0	1	1	21	18	3	3	1	1	0	1	0	0	0	11	9	2	3	1	0	0	0	0	1	1	10	9	1	9	0.750	21	35	56	0	0	6	6	7	4	208	72	52	80	14	220	63	110	116	29	9	31.03%	46	7	84.78%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	144	100	152	45	73	35
15	Nashville	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	15	23	0	0	3	2	3	0	77	19	26	32	0	58	16	14	33	15	4	26.67%	7	3	57.14%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	52	37	42	14	25	13
16	New Jersey	6	1	1	0	1	0	1	2	16	15	1	3	0	1	0	1	0	0	1	6	8	-2	3	1	0	0	0	0	1	1	10	7	3	8	0.667	16	30	46	0	0	5	7	2	3	178	56	60	53	16	209	86	60	96	19	2	10.53%	23	1	95.65%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	144	99	158	43	76	39
17	Philadelphie	6	2	3	0	0	0	1	0	14	16	-2	3	2	1	0	0	0	0	0	8	8	0	3	0	2	0	0	0	1	0	6	8	-2	6	0.500	14	26	40	0	0	7	4	2	1	178	61	50	65	6	198	65	105	134	34	8	23.53%	34	6	82.35%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	142	97	145	45	76	37
18	San Jose	2	1	1	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	2	0	2	2	0.500	3	5	8	0	1	1	1	1	0	58	17	16	25	0	48	16	12	33	3	0	0.00%	5	0	100.00%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	50	36	45	12	24	12
19	St. Louis	2	1	1	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	6	2	4	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	8	14	22	0	0	2	3	3	0	38	6	20	12	0	70	13	26	26	2	0	0.00%	13	2	84.62%	1	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	44	30	51	14	24	11
20	Toronto	4	2	1	0	0	0	1	0	10	6	4	2	1	0	0	0	0	1	0	7	3	4	2	1	1	0	0	0	0	0	3	3	0	6	0.750	10	15	25	0	0	3	3	3	3	107	43	32	32	4	100	36	38	61	22	4	18.18%	14	0	100.00%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	99	70	95	28	49	25
21	Vancouver	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	6	11	17	0	0	0	4	2	0	62	15	30	17	0	71	30	20	30	6	0	0.00%	10	2	80.00%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	45	30	49	14	25	12
22	Washington	6	2	3	0	0	0	0	1	13	16	-3	3	1	1	0	0	0	0	1	7	9	-2	3	1	2	0	0	0	0	0	6	7	-1	5	0.417	13	22	35	0	1	4	5	4	1	181	51	74	54	5	185	43	45	96	18	5	27.78%	17	4	76.47%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	152	109	138	40	74	38
23	Winnipeg	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	3	6	9	0	0	3	0	0	0	55	11	28	16	0	66	27	22	38	5	1	20.00%	11	4	63.64%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	39	25	52	16	27	13
	Total	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	0.567	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
	_Since Last GM Reset	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	0.567	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
	_Vs Conference	55	20	22	0	2	0	7	4	145	148	-3	27	11	10	0	2	0	2	2	75	70	5	28	9	12	0	0	0	5	2	70	78	-8	62	0.564	145	252	397	0	2	41	50	45	17	1641	528	502	586	65	1700	536	698	984	233	43	18.45%	237	43	81.86%	1	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	1341	935	1320	404	697	352
	_Vs Division	30	10	10	0	2	0	4	4	79	79	0	15	6	5	0	2	0	0	2	40	41	-1	15	4	5	0	0	0	4	2	39	38	1	36	0.600	79	139	218	0	2	23	27	23	11	945	304	287	333	50	968	295	485	567	149	29	19.46%	150	23	84.67%	0	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	737	511	727	223	380	191

			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
82	93	L3	232	406	638	2466	2529	804	938	1431	0	3

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	33	33	3	1	8	4	232	228

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	14	3	0	3	2	123	105

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	14	19	0	1	5	2	109	123

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	6	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
328	62	18.90%	340	65	80.88%	2

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
785	776	877	70	79	71	71	19

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
1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%

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
1997	1394	1954	598	1037	523

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
2 - 2022-11-25	10	Philadelphie	2	Pittsburgh	3	BW			Sommaire du match
4 - 2022-11-26	21	Pittsburgh	4	Boston	3	AW	X	X	Sommaire du match
6 - 2022-11-27	27	Pittsburgh	6	New Jersey	3	AW			Sommaire du match
8 - 2022-11-28	40	Columbus	2	Pittsburgh	4	BW			Sommaire du match
11 - 2022-11-30	56	Toronto	1	Pittsburgh	4	BW			Sommaire du match
13 - 2022-12-01	69	Pittsburgh	1	Washington	2	AL			Sommaire du match
15 - 2022-12-02	80	Pittsburgh	2	Philadelphie	1	AW	X	X	Sommaire du match
16 - 2022-12-02	87	New Jersey	3	Pittsburgh	1	BL			Sommaire du match
18 - 2022-12-03	100	Pittsburgh	2	NYRangers	3	AL	X	X	Sommaire du match
20 - 2022-12-04	109	Pittsburgh	4	Columbus	0	AW			Sommaire du match
22 - 2022-12-05	118	NYRangers	2	Pittsburgh	5	BW			Sommaire du match
25 - 2022-12-07	137	Washington	4	Pittsburgh	1	BL			Sommaire du match
27 - 2022-12-08	150	Washington	4	Pittsburgh	3	BL	X	X	Sommaire du match
31 - 2022-12-10	167	Pittsburgh	0	Buffalo	3	AL			Sommaire du match
33 - 2022-12-11	177	Boston	2	Pittsburgh	3	BW	X	X	Sommaire du match
35 - 2022-12-12	190	Pittsburgh	3	Toronto	2	AW			Sommaire du match
37 - 2022-12-13	198	Pittsburgh	5	NYRangers	4	AW			Sommaire du match
39 - 2022-12-14	204	Pittsburgh	5	Boston	3	AW			Sommaire du match
41 - 2022-12-15	212	Anaheim	4	Pittsburgh	2	BL			Sommaire du match
43 - 2022-12-16	223	Pittsburgh	2	New Jersey	1	AW	X	X	Sommaire du match
44 - 2022-12-16	233	Nashville	3	Pittsburgh	5	BW			Sommaire du match
48 - 2022-12-18	253	Toronto	2	Pittsburgh	3	BW	X	X	Sommaire du match
50 - 2022-12-19	259	Pittsburgh	5	Minnesota	4	AW			Sommaire du match
52 - 2022-12-20	272	Pittsburgh	3	NYRangers	2	AW	X	X	Sommaire du match
54 - 2022-12-21	280	Pittsburgh	5	Anaheim	3	AW			Sommaire du match
55 - 2022-12-22	286	San Jose	2	Pittsburgh	1	BL			Sommaire du match
58 - 2022-12-23	304	Pittsburgh	3	Chicago	4	AL	X		Sommaire du match
60 - 2022-12-24	310	St. Louis	2	Pittsburgh	6	BW			Sommaire du match
62 - 2022-12-25	321	Pittsburgh	3	Washington	0	AW			Sommaire du match
64 - 2022-12-26	330	Pittsburgh	1	Winnipeg	5	AL			Sommaire du match
65 - 2022-12-27	337	Boston	1	Pittsburgh	6	BW			Sommaire du match
68 - 2022-12-28	356	New Jersey	2	Pittsburgh	1	BL	X	X	Sommaire du match
72 - 2022-12-30	374	Pittsburgh	2	Edmonton	3	AL			Sommaire du match
74 - 2022-12-31	382	Washington	1	Pittsburgh	3	BW			Sommaire du match
78 - 2023-01-02	401	Dallas	1	Pittsburgh	2	BW			Sommaire du match
80 - 2023-01-03	410	Pittsburgh	2	San Jose	0	AW			Sommaire du match
83 - 2023-01-05	420	Pittsburgh	0	Columbus	5	AL			Sommaire du match
84 - 2023-01-05	428	LosAngeles	2	Pittsburgh	3	BW	X		Sommaire du match
87 - 2023-01-07	447	Pittsburgh	6	Boston	4	AW			Sommaire du match
88 - 2023-01-07	455	Winnipeg	5	Pittsburgh	2	BL			Sommaire du match
92 - 2023-01-09	473	Pittsburgh	0	Toronto	1	AL			Sommaire du match
93 - 2023-01-10	480	Floride	1	Pittsburgh	2	BW			Sommaire du match
95 - 2023-01-11	496	Pittsburgh	3	Minnesota	4	AL			Sommaire du match
97 - 2023-01-12	503	Detroit	3	Pittsburgh	2	BL			Sommaire du match
100 - 2023-01-13	522	Philadelphie	3	Pittsburgh	5	BW			Sommaire du match
102 - 2023-01-14	534	Pittsburgh	3	Arizona	1	AW			Sommaire du match
104 - 2023-01-15	544	LosAngeles	1	Pittsburgh	2	BW	X	X	Sommaire du match
106 - 2023-01-16	556	Pittsburgh	2	St. Louis	4	AL			Sommaire du match
109 - 2023-01-18	566	Buffalo	2	Pittsburgh	4	BW			Sommaire du match
111 - 2023-01-19	574	Pittsburgh	2	Buffalo	5	AL			Sommaire du match
113 - 2023-01-20	581	Pittsburgh	2	Washington	5	AL			Sommaire du match
115 - 2023-01-21	592	Pittsburgh	2	New Jersey	3	AL	X	X	Sommaire du match
116 - 2023-01-21	598	Chicago	3	Pittsburgh	5	BW			Sommaire du match
121 - 2023-01-24	620	Philadelphie	3	Pittsburgh	0	BL			Sommaire du match
124 - 2023-01-25	634	Pittsburgh	2	Dallas	4	AL			Sommaire du match
125 - 2023-01-26	642	Floride	4	Pittsburgh	2	BL			Sommaire du match
127 - 2023-01-27	655	Pittsburgh	3	Nashville	5	AL			Sommaire du match
129 - 2023-01-28	666	Montreal	2	Pittsburgh	6	BW			Sommaire du match
135 - 2023-01-31	689	Buffalo	3	Pittsburgh	1	BL			Sommaire du match
138 - 2023-02-01	710	Vancouver	2	Pittsburgh	3	BW			Sommaire du match
140 - 2023-02-02	718	Pittsburgh	2	Philadelphie	3	AL			Sommaire du match
143 - 2023-02-04	734	Montreal	2	Pittsburgh	0	BL			Sommaire du match
145 - 2023-02-05	745	Pittsburgh	2	Philadelphie	4	AL			Sommaire du match
147 - 2023-02-06	757	NYRangers	4	Pittsburgh	2	BL			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2023-02-08	775	Pittsburgh	5	LosAngeles	3	AW			Sommaire du match
152 - 2023-02-08	782	New Jersey	3	Pittsburgh	4	BW	X		Sommaire du match
155 - 2023-02-10	799	Pittsburgh	0	Detroit	4	AL			Sommaire du match
157 - 2023-02-11	806	Minnesota	2	Pittsburgh	7	BW			Sommaire du match
159 - 2023-02-12	820	Pittsburgh	3	Montreal	5	AL			Sommaire du match
161 - 2023-02-13	828	Arizona	2	Pittsburgh	5	BW			Sommaire du match
164 - 2023-02-14	846	Pittsburgh	3	Detroit	1	AW			Sommaire du match
166 - 2023-02-15	853	NYRangers	3	Pittsburgh	4	BW	X		Sommaire du match
169 - 2023-02-17	871	Edmonton	4	Pittsburgh	1	BL			Sommaire du match
171 - 2023-02-18	879	Pittsburgh	3	Columbus	2	AW	X	X	Sommaire du match
174 - 2023-02-19	895	Pittsburgh	2	Floride	1	AW			Sommaire du match
175 - 2023-02-20	902	Edmonton	2	Pittsburgh	4	BW			Sommaire du match
176 - 2023-02-20	906	Pittsburgh	3	Vancouver	5	AL			Sommaire du match
179 - 2023-02-22	919	Pittsburgh	1	Montreal	4	AL			Sommaire du match
183 - 2023-02-24	932	Columbus	3	Pittsburgh	4	BW			Sommaire du match
188 - 2023-02-26	953	Detroit	6	Pittsburgh	2	BL			Sommaire du match
192 - 2023-02-28	968	Columbus	2	Pittsburgh	0	BL			Sommaire du match
195 - 2023-03-02	979	Pittsburgh	2	Floride	4	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	225,320	200,597	102,234	189,320	33,246
Attendance PCT	88.64%	90.60%	95.90%	96.20%	75.43%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	18310 - 91.21%	1,624,902$	66,620,997$	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
67,953,406$	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
319,886$	63,724,047$	0$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	330,038$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	19,930,911$	19,930,911$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
64,149,263$	850,737$	65,000,000$	24,149,263$

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
Cody Hodgson	AGE:31	PO:45	OV:0
Jesse Joensuu	AGE:33	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:45	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
Cody Hodgson	AGE:31	PO:45	OV:0
Jesse Joensuu	AGE:33	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

Pittsburgh Historique de transactions

[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.
[2022-11-09 22:39:32] - TRADE : From Pittsburgh to Dallas : Bryan Little.
[2022-11-09 22:39:32] - TRADE : From Dallas to Pittsburgh : Y:22-RND:5-DAL.

[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.
[2023-06-28 20:53:06] Travis Konecny from Pittsburgh is back from Sprained Left Ankle Injury.
[2023-06-28 20:53:06] New Record for Team's Most Penalties Minutes (63) in 1 Game for Pittsburgh!
[2023-06-26 23:16:35] Wilkes-Barre/Scranton lines for next game are empty. Current rosters/lines are not erased.
[2023-06-26 23:11:54] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-06-21 19:25:40] Michael Frolik from Wilkes-Barre/Scranton is back from Exhaustion.
[2023-06-21 19:24:08] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-06-19 20:04:01] 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.
[2023-06-19 20:04:01] Michael Frolik from Wilkes-Barre/Scranton is injured from Exhaustion.
[2023-06-19 20:01:22] Ian McCoshen from Wilkes-Barre/Scranton is back from Exhaustion.
[2023-06-19 20:00:28] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-06-16 17:37:45] Michael Frolik from Wilkes-Barre/Scranton is back from Exhaustion.
[2023-06-16 17:37:45] 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.
[2023-06-16 17:37:45] Ian McCoshen from Wilkes-Barre/Scranton is injured from Exhaustion.
[2023-06-16 17:33:19] Wilkes-Barre/Scranton lines for next game are empty. Current rosters/lines are not erased.
[2023-06-16 17:33:19] Michael Frolik from Wilkes-Barre/Scranton is injured from Exhaustion.
[2023-06-14 21:44:47] Eric Staal from Wilkes-Barre/Scranton is back from Exhaustion.
[2023-06-14 21:40:24] 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.
[2023-06-14 21:40:24] Eric Staal from Wilkes-Barre/Scranton is injured from Exhaustion.
[2023-06-12 20:04:34] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-06-09 19:48:00] Wilkes-Barre/Scranton lines for next game are empty. Current rosters/lines are not erased.
[2023-06-09 19:48:00] Last 7 Days Farm Star : 1 - Nick Bjugstad of Charlotte (2-6-8) / 2 - Brendan Lemieux of Charlotte (3-5-8) / 3 - Ian McCoshen of Wilkes-Barre/Scranton (2-5-7)
[2023-06-09 19:48:00] Farm Game #872 - Eric Staal from Wilkes-Barre/Scranton has scored a Hat Trick!
[2023-06-09 19:35:58] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-06-07 21:08:22] Michael Frolik from Wilkes-Barre/Scranton is back from Exhaustion.
[2023-06-07 21:08:03] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2023-06-07 21:06:58] Auto Lines Farm Function has been run for Wilkes-Barre/Scranton.
[2023-06-05 22:07:12] Eric Staal from Wilkes-Barre/Scranton is back from Exhaustion.
[2023-06-05 22:07:12] 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.
[2023-06-05 22:07:12] Michael Frolik from Wilkes-Barre/Scranton is injured from Exhaustion.
[2023-06-05 21:57:47] Wilkes-Barre/Scranton lines for next game are empty. Current rosters/lines are not erased.
[2023-06-05 21:57:47] Eric Staal from Wilkes-Barre/Scranton is injured from Exhaustion.
[2023-06-05 21:47:53] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5

Pas de blessure ou de suspension.

Pittsburgh 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	PKS	GW	GT	FO%	P/20	PSG	PSS
1	Nick Schmaltz	158	72	100	172	18	36	108	312	660	10.91%	24	3217	20.36	8	38	46	108	2	4	4	46.97	1.07	6	18
2	Jack Eichel	164	62	100	162	-8	80	108	296	580	10.69%	20	3328	20.30	16	28	44	126	4	10	0	46.72	0.97	2	20
3	Jonathan Huberdeau	164	48	84	132	28	84	274	162	464	10.34%	8	3273	19.96	12	24	36	84	0	6	6	35.76	0.81	0	10
4	Danton Heinen	164	52	60	112	-8	40	156	164	486	10.70%	18	3278	19.99	18	18	36	92	2	8	0	45.21	0.68	4	14
5	Torey Krug	152	26	84	110	-8	24	32	122	264	9.85%	228	3346	22.02	12	18	30	132	0	6	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	84	34	34	10	0.898	3.34	4750	0	2	264	2600	2	0.643	28
2	Louis Domingue	72	28	32	6	0.912	2.95	4021	4	6	198	2238	0	0.773	44
3	Alexandar Georgiyev	20	8	6	6	0.911	2.73	1185	8	0	54	606	0	0.800	10

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
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	164	66	66	0	6	2	16	8	464	456	8	82	38	28	0	6	0	6	4	246	210	36	82	28	38	0	0	2	10	4	218	246	-28	186	464	812	1276	0	6	158	142	142	38	4932	1570	1552	1754	140	5058	1608	1876	2862	656	124	18.90%	680	130	80.88%	4	3010	5872	51.26%	3032	5858	51.76%	1368	2570	53.23%	3995	2789	3909	1196	2075	1046
Séries éliminatoires
Total Séries éliminatoires											0											0	0	0	0	0	0	0	0	0	0	0	0																						0.00%			0.00%				0.00%			0.00%			0.00%	0	0	0	0	0	0

Pittsburgh 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 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: 82 \| W: 44 \| L: 33 \| OTL: 5 \| P: 93 GF: 232 \| GA: 228 \| PP%: 18.90% \| PK%: 80.88% DG: Sebastien Lefebvre \| Morale : 50 \| Moyenne d’équipe : N/A