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

Centre de jeu
	Pittsburgh 34-44-4, 72pts	3	FINAL	4	Edmonton 38-38-6, 82pts

Team Stats
W1	Séquence	L1
16-23-2	Fiche domicile	20-18-3
18-21-2	Fiche visiteur	18-20-3
3-7-0	Derniers 10 matchs	4-6-0
3.22	Buts par match	3.09
3.55	Buts contre par match	3.39
20.98%	Pourcentage en avantage numérique	22.18%
77.74%	Pourcentage en désavantage numérique	77.74%

Pittsburgh
34-44-4, 72pts

FINAL

Buffalo
31-42-9, 71pts

Team Stats
W1	Séquence	L1
16-23-2	Fiche domicile	18-18-5
18-21-2	Fiche visiteur	13-24-4
3-7-0	Derniers 10 matchs	2-7-1
3.22	Buts par match	2.87
3.55	Buts contre par match	3.51
20.98%	Pourcentage en avantage numérique	19.58%
77.74%	Pourcentage en désavantage numérique	75.73%

Meneurs d'équipe
	Buts Kevin Fiala 35	Passes Tony DeAngelo 53

	Points Tony DeAngelo 73	Plus/Moins Jamie Oleksiak 15

	Victoires Karel Vejmelka 20	Pourcentage d’arrêts Adam Dennis 0.922

Statistiques d’équipe
Buts pour 264 3.22 GFG	Tirs pour 2615 31.89 Avg	Pourcentage en avantage numérique 21.0% 64 GF	Début de zone offensive 39.5%
Buts contre 291 3.55 GAA	Tirs contre 3006 36.66 Avg	Pourcentage en désavantage numérique 77.7%% 73 GA	Début de la zone défensive 42.5%

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	20,635
	Assistance	19,320
	Billets de saison	8,254
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	21
	Limite contact	41 / 50
	Espoirs	29
Plafond salarial
	Cap Salarial de la Saison estimé	64,110,333$
	Plafond salarial disponible	889,667$
	Valeur du plafond salarial spécial	13,168,500$
	Joueurs Inclus dans le plafond salarial	28
Finance
	Revenu annuel à ce jour	70,085,748$
	Dépenses annuelles à ce jour	60,171,245$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	27,400,774$
	Compte bancaire projeté	27,387,040$
Historique d'équipe
	Saison actuelle	34-44-4 (72PTS)
	Historique	112-121-25 (0.434%)
	Apparitions en séries éliminatoires	1
	Historique en séries éliminatoires (W-L)	1-4
	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	Nick Ritchie		X			100.00	81	54	58	83	94	85	99	73	81	69	75	60	82	43	41	57	50	0	0	26	3	1,200,000$
2	Jean Gabriel Pageau	X				100.00	72	35	98	83	62	79	76	69	70	65	74	64	75	54	49	27	50	0	0	29	2	510,000$
3	Jordan Eberle			X		100.00	75	30	89	70	80	84	99	77	70	80	74	70	87	74	74	38	50	0	0	32	3	2,610,000$
4	Kerby Rychel		X			100.00	72	35	84	73	91	71	82	64	75	65	65	60	78	49	41	51	50	0	0	27	2	600,000$
5	Rickard Rakell			X		100.00	88	30	94	81	83	87	99	75	70	74	77	63	95	64	64	53	50	0	0	29	3	2,200,000$
6	Zemgus Girgensons	X	X	X		100.00	74	44	88	87	87	91	84	70	76	69	76	71	87	52	50	48	50	0	0	28	1	2,500,000$
7	James Van Riemsdyk		X	X		100.00	76	32	91	74	74	70	82	77	53	75	74	68	87	77	72	31	50	0	0	33	3	2,000,000$
8	Matt Nieto		X	X		100.00	64	27	95	81	85	88	86	70	74	72	71	61	85	59	49	49	50	0	0	29	4	600,000$
9	Kyle Turris	X	X	X		100.00	69	30	96	70	69	80	87	78	67	75	75	66	81	74	65	27	50	0	0	32	1	5,500,000$
10	Viktor Arvidsson	X	X	X		100.00	68	30	92	77	78	84	97	76	69	76	76	62	83	64	64	55	50	0	0	29	3	2,600,000$
11	Kevin Fiala		X	X		100.00	72	33	98	99	82	87	91	86	83	80	81	62	88	49	46	66	50	0	0	25	4	5,150,000$
12	Adam Erne		X	X		100.00	76	34	93	83	88	76	84	73	78	67	74	64	84	53	52	59	50	0	0	27	1	510,000$
13	Karl Alzner				X	100.00	67	48	64	57	78	79	92	52	25	51	49	84	72	74	74	26	50	0	0	33	1	500,000$
14	Tony DeAngelo				X	100.00	84	34	68	91	82	92	88	73	52	73	72	90	83	50	52	73	50	0	0	26	3	6,500,000$
15	Jamie Oleksiak				X	100.00	88	47	54	71	96	82	86	54	50	54	49	91	70	56	56	58	50	0	0	29	4	900,000$
16	Noah Dobson				X	100.00	82	32	93	94	89	92	91	71	52	72	65	92	80	39	36	88	50	0	0	22	2	900,000$
17	Jonathan Ericsson				X	100.00	58	31	84	45	82	67	76	47	50	46	44	82	59	78	74	10	50	0	0	38	3	500,000$
18	Tyson Barrie				X	100.00	66	40	83	87	72	89	89	63	50	60	59	87	79	61	48	54	50	0	0	30	3	3,250,000$
Rayé
Équipe Mineure
1	Zac Dalpe	X		X		100.00	60	22	96	73	77	65	86	62	70	63	66	61	75	66	65	27	50	0	0	32	1	1,100,000$
2	Jesper Fast			X		98.00	81	27	95	76	81	81	87	73	70	69	74	68	75	65	65	34	50	0	0	30	2	1,000,000$
3	Evgenii Dadonov		X	X		98.00	76	31	92	71	77	85	87	77	68	72	72	62	79	70	69	37	50	0	0	33	1	2,850,000$
4	Rob Schremp	X	X	X		100.00	67	32	81	54	76	67	88	72	74	65	70	56	81	83	71	14	50	0	0	36	3	500,000$
5	Tyler Pitlick			X		100.00	72	28	90	73	79	76	89	71	69	72	71	74	76	59	56	53	50	0	0	30	2	1,000,000$
6	Alan Quine	X	X	X		100.00	63	30	87	77	79	78	84	72	84	70	71	63	83	56	47	51	50	0	0	29	3	500,000$
7	Brendan Leipsic		X			100.00	74	27	95	78	76	80	89	75	73	71	74	63	81	56	52	52	50	0	0	28	1	1,000,000$
8	Shane Prince		X	X		100.00	72	28	85	72	76	76	87	72	73	69	71	60	79	64	57	39	50	0	0	29	3	500,000$
9	Milan Lucic		X			100.00	71	37	83	55	96	76	99	67	68	67	68	62	70	70	62	41	50	0	0	34	1	500,000$
10	Jiri Tlusty		X	X		100.00	62	22	94	60	82	72	76	69	71	67	65	61	83	73	56	30	50	0	0	34	3	700,000$
11	Michael Frolik		X	X		100.00	69	27	94	69	81	71	86	73	69	69	72	60	79	76	77	23	50	0	0	34	1	500,000$
12	Lukas Sedlak	X	X			99.00	72	31	86	75	81	71	88	74	93	73	72	66	78	61	49	47	50	0	0	29	1	999,000$
13	Joakim Ryan				X	100.00	63	30	90	79	76	85	82	47	50	47	48	84	72	54	49	48	50	0	0	29	3	510,000$
14	Ian McCoshen				X	99.00	77	46	68	82	94	85	88	57	54	54	56	87	80	45	43	58	50	0	0	26	2	850,000$
15	David Rundblad				X	97.00	59	36	93	71	90	77	83	54	50	53	49	89	70	63	56	38	50	0	0	31	1	800,000$
16	Brian Lashoff				X	100.00	57	40	93	66	83	75	87	46	50	45	51	83	50	62	50	30	50	0	0	31	3	500,000$
17	Scott Harrington				X	100.00	67	38	86	73	86	75	87	51	50	50	51	88	76	59	50	47	50	0	0	29	4	900,000$
18	Ladislav Smid				X	100.00	77	45	50	49	79	71	91	50	50	49	50	85	60	75	67	17	50	0	0	36	2	500,000$

	MOYENNE D’ÉQUIPE					100.00	74	36	85	78	82	82	88	69	64	68	68	72	81	59	56	48	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	75	80	87	74	77	83	85	84	86	82	73	62	62	46	50	0	0	29	2	1,000,000$
2	Karel Vejmelka (R)	100.00	66	90	90	82	75	83	81	82	80	79	70	53	53	70	50	0	0	26	1	550,000$
Rayé
Équipe Mineure
1	Adam Dennis	99.00	62	83	73	75	68	84	89	87	88	66	71	99	92	14	50	0	0	37	1	500,000$
2	Jonathan Quick	98.00	58	93	96	82	76	87	81	89	89	75	84	89	88	38	50	0	0	36	2	910,000$
3	Eric Comrie (R)	100.00	75	78	77	73	75	83	82	83	85	80	77	53	53	53	50	0	0	26	2	825,000$

	MOYENNE D’ÉQUIPE	100.00	71	85	89	78	76	83	83	83	83	81	72	58	58	58	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	53	1	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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Tony DeAngelo	Pittsburgh	D	82	20	53	73	-18	101	15	174	108	219	64	153	9.13%	121	1863	22.73	14	17	31	126	266	0	0	0	0	95	3	0	0%	0	0.78	0	1	1	0	2	3	2	1
2	Kevin Fiala	Pittsburgh	LW/RW	80	35	37	72	5	26	10	42	104	303	73	253	11.55%	11	1530	19.14	5	10	15	68	261	0	0	0	2	23	5	0	53.90%	141	0.94	0	4	0	0	1	2	7	3
3	Noah Dobson	Pittsburgh	D	80	15	48	63	-18	47	5	71	97	201	65	108	7.46%	150	1815	22.69	11	17	28	107	263	0	1	1	0	121	2	0	0%	0	0.69	0	0	0	0	1	3	2	2
4	Jordan Eberle	Pittsburgh	RW	82	20	39	59	0	34	0	77	56	181	62	125	11.05%	15	1480	18.05	1	17	18	29	241	0	0	0	2	23	3	0	48.85%	174	0.80	0	2	0	0	0	2	4	3
5	Viktor Arvidsson	Pittsburgh	C/LW/RW	82	18	31	49	-4	22	0	46	117	155	46	125	11.61%	6	1425	17.38	2	6	8	18	217	0	0	0	0	17	1	1	45.98%	1553	0.69	0	0	0	0	0	5	0	2
6	Rickard Rakell	Pittsburgh	RW	82	25	18	43	2	50	0	123	77	157	47	98	15.92%	9	1419	17.31	9	7	16	26	209	0	0	0	0	20	6	0	37.80%	164	0.61	1	3	0	0	0	2	2	2
7	Tyson Barrie	Pittsburgh	D	82	12	31	43	13	10	0	27	75	83	34	80	14.46%	133	1533	18.70	3	5	8	30	111	0	1	1	2	242	3	0	0%	0	0.56	0	0	0	0	0	1	1	2
8	Kyle Turris	Pittsburgh	C/LW/RW	82	13	22	35	-5	20	0	37	94	167	44	107	7.78%	9	1357	16.55	1	6	7	27	177	0	0	0	1	49	1	0	45.60%	1215	0.52	0	0	0	0	0	1	1	0
9	James Van Riemsdyk	Pittsburgh	LW/RW	82	15	18	33	-12	22	0	54	59	163	43	108	9.20%	19	1269	15.49	2	1	3	10	58	0	0	0	6	183	2	0	47.87%	94	0.52	0	1	0	0	0	0	1	4
10	Jamie Oleksiak	Pittsburgh	D	81	8	22	30	15	131	15	198	49	66	21	52	12.12%	123	1409	17.40	2	3	5	14	81	0	0	0	0	203	0	1	0%	0	0.43	0	0	1	1	0	1	1	3
11	Zemgus Girgensons	Pittsburgh	C/LW/RW	78	11	6	17	-5	10	0	31	55	101	16	56	10.89%	6	706	9.06	1	1	2	4	21	0	0	0	6	73	0	1	46.23%	305	0.48	0	2	0	0	0	1	0	1
12	Nick Ritchie	Pittsburgh	LW	74	4	10	14	-10	46	0	101	23	86	22	65	4.65%	2	659	8.91	0	0	0	1	2	0	0	0	1	18	0	0	42.19%	64	0.42	0	0	0	0	0	0	1	0
13	Adam Erne	Pittsburgh	LW/RW	66	4	6	10	-2	18	0	36	21	57	11	35	7.02%	7	510	7.74	0	0	0	0	0	0	1	1	6	194	1	0	38.46%	39	0.39	0	0	0	0	0	0	1	1
14	Jean Gabriel Pageau	Pittsburgh	C	50	5	3	8	-1	2	0	9	50	37	8	13	13.51%	8	388	7.77	0	0	0	0	1	0	0	0	2	116	1	0	41.90%	506	0.41	0	0	0	0	0	0	0	0
15	Alan Quine	Wilkes-Barre/Scranton (PIT)	C/LW/RW	49	3	3	6	1	2	0	10	29	23	10	22	13.04%	2	299	6.11	0	0	0	0	0	2	0	2	3	87	1	0	47.87%	305	0.40	0	0	0	0	0	0	0	0
16	Karl Alzner	Pittsburgh	D	30	1	2	3	-12	25	5	36	21	18	7	8	5.56%	58	463	15.46	0	0	0	0	2	0	0	0	0	51	0	0	0%	0	0.13	0	0	1	0	0	0	0	0
17	Matt Nieto	Pittsburgh	LW/RW	50	0	3	3	-6	2	0	12	17	26	5	23	0%	2	316	6.33	0	0	0	0	5	0	0	0	1	77	0	0	50.98%	153	0.19	0	0	0	0	0	0	0	0
18	Scott Harrington	Wilkes-Barre/Scranton (PIT)	D	13	0	3	3	2	4	0	4	4	5	2	4	0%	23	165	12.76	0	0	0	0	0	0	0	0	0	17	0	0	0%	0	0.36	0	0	0	0	0	0	0	0
19	Lukas Sedlak	Wilkes-Barre/Scranton (PIT)	C/LW	25	1	2	3	-3	0	0	6	13	20	3	9	5.00%	2	139	5.58	0	0	0	0	0	0	0	0	0	0	0	0	52.41%	187	0.43	0	0	0	0	0	0	0	0
20	Evgenii Dadonov	Wilkes-Barre/Scranton (PIT)	LW/RW	15	0	2	2	-4	0	0	5	9	5	3	7	0%	0	126	8.43	0	0	0	0	0	0	0	0	0	0	0	0	33.64%	110	0.32	0	0	0	0	0	0	0	0
21	Jonathan Ericsson	Pittsburgh	D	18	0	2	2	-12	2	0	8	10	15	3	7	0%	29	297	16.54	0	0	0	0	0	0	0	0	0	52	0	0	0%	0	0.13	0	0	0	0	0	0	0	0
22	Tyler Pitlick	Wilkes-Barre/Scranton (PIT)	RW	7	1	0	1	-1	6	0	1	1	3	0	2	33.33%	0	20	2.91	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0.98	0	0	0	0	0	0	0	0
23	Jesper Fast	Wilkes-Barre/Scranton (PIT)	RW	4	0	0	0	-1	0	0	2	0	1	1	2	0%	0	18	4.62	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	0	0	0	0	0	0	0	0
24	Kerby Rychel	Pittsburgh	LW	6	0	0	0	-1	0	0	7	2	2	1	2	0%	0	40	6.74	0	0	0	0	0	0	0	0	0	0	0	0	38.10%	42	0	0	0	0	0	0	0	0	0
25	Ian McCoshen	Wilkes-Barre/Scranton (PIT)	D	1	0	0	0	0	0	0	0	0	0	0	0	0%	0	2	2.53	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	0	0	0	0	0	0	0	0	0
26	Michael Frolik	Wilkes-Barre/Scranton (PIT)	LW/RW	5	0	0	0	-1	0	0	0	0	1	0	2	0%	0	11	2.38	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1306	211	361	572	-78	580	50	1117	1091	2095	591	1466	10.07%	735	19273	14.76	51	90	141	460	1925	2	3	5	32	1675	29	3	45.65%	5054	0.59	1	13	3	1	4	21	23	24

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Karel Vejmelka	Pittsburgh	50	20	26	2	0.906	3.39	2835	6	1	160	1706	3	3	0.600	10	48	24	4	3	2
2	Anton Forsberg	Pittsburgh	31	12	14	1	0.905	3.41	1705	0	0	97	1018	1	0	1.000	3	27	50	4	2	0
3	Adam Dennis	Wilkes-Barre/Scranton (PIT)	2	1	1	0	0.922	3.03	119	0	0	6	77	0	0	0	0	2	3	1	0	0
4	Jonathan Quick	Wilkes-Barre/Scranton (PIT)	10	1	6	3	0.879	4.57	565	2	0	43	355	0	0	0.538	13	10	12	0	0	0
Statistiques d’équipe totales ou en moyenne			93	34	47	6	0.903	3.51	5225	8	1	306	3156	4	3		26	87	89	9	5	2

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	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	Lien
Adam Erne (contrat à 1 volet)	Pittsburgh	LW/RW	27	1995-04-20	No	217 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	510,000$	510,000$	0$	No				Lien
Anton Forsberg	Pittsburgh	G	29	1992-11-27 08:08:26	No	176 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	1,000,000$	1,000,000$	0$	No	1,000,000$			Lien
James Van Riemsdyk (contrat à 1 volet)	Pittsburgh	LW/RW	33	1989-05-04	No	207 Lbs	6 ft3	No	No	Yes	Yes	3	Pro & Farm	2,000,000$	2,000,000$	0$	No	2,000,000$	2,000,000$		Lien
Jamie Oleksiak (contrat à 1 volet)	Pittsburgh	D	29	1992-12-21	No	260 Lbs	6 ft7	No	No	Yes	Yes	4	Pro & Farm	900,000$	900,000$	0$	No	900,000$	900,000$	900,000$	Lien
Jean Gabriel Pageau	Pittsburgh	C	29	1992-11-11	No	172 Lbs	5 ft10	No	No	No	No	2	Pro & Farm	510,000$	510,000$	0$	No	510,000$			Lien
Jonathan Ericsson	Pittsburgh	D	38	1984-03-02	No	223 Lbs	6 ft4	No	No	No	No	3	Pro & Farm	500,000$	500,000$	0$	No	500,000$	500,000$		Lien
Jordan Eberle (contrat à 1 volet)	Pittsburgh	RW	32	1990-05-15	No	190 Lbs	5 ft11	No	No	Yes	Yes	3	Pro & Farm	2,610,000$	2,610,000$	0$	No	2,610,000$	2,610,000$		Lien
Karel Vejmelka (contrat à 1 volet)	Pittsburgh	G	26	1996-05-25 06:13:49	Yes	224 Lbs	6 ft3	No	No	Yes	Yes	1	Pro & Farm	550,000$	550,000$	0$	No				Lien
Karl Alzner	Pittsburgh	D	33	1988-09-24	No	226 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	No
Kerby Rychel	Pittsburgh	LW	27	1994-10-07	No	215 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	600,000$	600,000$	0$	No	600,000$			Lien
Kevin Fiala (contrat à 1 volet)	Pittsburgh	LW/RW	25	1996-07-22	No	204 Lbs	5 ft10	No	No	Yes	Yes	4	Pro & Farm	5,150,000$	5,150,000$	0$	No	5,150,000$	5,150,000$	5,150,000$	Lien
Kyle Turris (contrat à 1 volet)	Pittsburgh	C/LW/RW	32	1989-08-14	No	185 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	5,500,000$	5,500,000$	0$	No				Lien
Matt Nieto (contrat à 1 volet)	Pittsburgh	LW/RW	29	1992-11-05	No	198 Lbs	5 ft11	No	No	Yes	Yes	4	Pro & Farm	600,000$	600,000$	0$	No	600,000$	600,000$	600,000$	Lien
Nick Ritchie (contrat à 1 volet)	Pittsburgh	LW	26	1995-12-05	No	242 Lbs	6 ft2	No	No	Yes	Yes	3	Pro & Farm	1,200,000$	1,200,000$	0$	No	1,200,000$	1,200,000$		Lien
Noah Dobson	Pittsburgh	D	22	2000-01-07 09:06:51	No	195 Lbs	6 ft4	No	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	No	900,000$			Lien
Rickard Rakell (contrat à 1 volet)	Pittsburgh	RW	29	1993-05-05	No	195 Lbs	6 ft1	No	No	Yes	Yes	3	Pro & Farm	2,200,000$	2,200,000$	0$	No	2,200,000$	2,200,000$		Lien
Tony DeAngelo	Pittsburgh	D	26	1995-10-24	No	183 Lbs	5 ft11	No	No	No	Yes	3	Pro & Farm	6,500,000$	6,500,000$	0$	No	6,500,000$	6,500,000$		Lien
Tyson Barrie (contrat à 1 volet)	Pittsburgh	D	30	1991-07-26	No	203 Lbs	5 ft10	No	No	Yes	Yes	3	Pro & Farm	3,250,000$	3,250,000$	0$	No	3,250,000$	3,250,000$		Lien
Viktor Arvidsson (contrat à 1 volet)	Pittsburgh	C/LW/RW	29	1993-04-08	No	187 Lbs	5 ft10	No	No	Yes	Yes	3	Pro & Farm	2,600,000$	2,600,000$	0$	No	2,600,000$	2,600,000$		Lien
Zemgus Girgensons (contrat à 1 volet)	Pittsburgh	C/LW/RW	28	1994-01-05	No	197 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	2,500,000$	2,500,000$	0$	No				Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	28.95	205 Lbs	6 ft1	2.45	2,004,000$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
40,080,000$	30,520,000$	27,510,000$	6,650,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kevin Fiala	Viktor Arvidsson	Jordan Eberle	32	1	2	2
2	Zemgus Girgensons	Kyle Turris	Rickard Rakell	31	1	2	2
3	James Van Riemsdyk	Jean Gabriel Pageau	Nick Ritchie	29	1	2	2
4	Adam Erne	Kerby Rychel	Matt Nieto	8	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Tony DeAngelo	Noah Dobson	35	1	1	3
2	Jamie Oleksiak	Tyson Barrie	35	1	2	2
3	Karl Alzner	Jonathan Ericsson	30	1	3	1
4	Tony DeAngelo	Noah Dobson	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kevin Fiala	Viktor Arvidsson	Jordan Eberle	70	1	2	2
2	James Van Riemsdyk	Kyle Turris	Rickard Rakell	30	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Tony DeAngelo	Noah Dobson	70	1	2	2
2	Jamie Oleksiak	Tyson Barrie	30	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jean Gabriel Pageau	Adam Erne	50	1	2	2
2	Matt Nieto	James Van Riemsdyk	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Karl Alzner	Jonathan Ericsson	50	1	2	2
2	Jamie Oleksiak	Tyson Barrie	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Matt Nieto	50	1	2	2	Jonathan Ericsson	Karl Alzner	50	1	2	2
2	Jean Gabriel Pageau	50	1	2	2	Jamie Oleksiak	Tyson Barrie	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Kevin Fiala	Jordan Eberle	50	1	2	2
2	Viktor Arvidsson	Rickard Rakell	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Tony DeAngelo	Noah Dobson	50	1	2	2
2	Jamie Oleksiak	Tyson Barrie	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Kevin Fiala	Kyle Turris	Jordan Eberle	Tony DeAngelo	Noah Dobson

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Kevin Fiala	Kyle Turris	Jordan Eberle	Tony DeAngelo	Noah Dobson

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Matt Nieto, Zemgus Girgensons, Adam Erne	Matt Nieto, Zemgus Girgensons	Adam Erne

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Karl Alzner, Jonathan Ericsson, Jamie Oleksiak	Karl Alzner	Jonathan Ericsson, Jamie Oleksiak

Tirs de pénalité
Kevin Fiala, Jordan Eberle, Rickard Rakell, Kyle Turris, James Van Riemsdyk

Gardien
#1 : Karel Vejmelka, #2 : Anton Forsberg

Lignes d’attaque personnalisées en prolongation
Kevin Fiala, Jordan Eberle, Rickard Rakell, Kyle Turris, James Van Riemsdyk, Viktor Arvidsson, Viktor Arvidsson, Matt Nieto, Zemgus Girgensons, Adam Erne, Nick Ritchie

Lignes de défense personnalisées en prolongation
Tony DeAngelo, Noah Dobson, Jamie Oleksiak, Tyson Barrie, Karl Alzner

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	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	5	9	14	1	0	2	2	1	0	54	16	14	24	0	82	28	18	25	4	0	0.00%	9	3	66.67%	1	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	43	29	50	15	26	13
2	Boston	4	1	2	0	1	0	0	0	16	18	-2	2	0	2	0	0	0	0	0	9	13	-4	2	1	0	0	1	0	0	0	7	5	2	4	0.500	16	26	42	1	0	5	4	6	1	112	30	34	47	1	173	49	47	66	14	2	14.29%	20	6	70.00%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	86	57	104	31	49	24
3	Buffalo	4	1	3	0	0	0	0	0	11	14	-3	2	0	2	0	0	0	0	0	5	8	-3	2	1	1	0	0	0	0	0	6	6	0	2	0.250	11	17	28	0	0	6	1	4	0	108	37	32	39	0	139	43	28	66	17	4	23.53%	11	3	72.73%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	91	62	97	31	51	24
4	Chicago	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	7	3	4	4	1.000	10	19	29	0	0	5	2	3	0	81	25	22	34	0	71	17	12	39	11	2	18.18%	6	2	66.67%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	46	31	49	14	24	12
5	Colorado	2	0	2	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	9	14	0	0	2	3	0	0	47	15	12	20	0	68	29	18	27	4	0	0.00%	7	2	71.43%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	42	27	50	15	27	13
6	Columbus	6	2	3	0	1	0	0	0	20	22	-2	3	0	2	0	1	0	0	0	11	12	-1	3	2	1	0	0	0	0	0	9	10	-1	6	0.500	20	36	56	0	0	12	4	3	1	195	72	66	55	2	243	82	107	140	33	7	21.21%	48	8	83.33%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	136	89	154	46	72	35
7	Dallas	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	7	12	19	1	0	4	1	2	0	54	21	13	20	0	78	22	18	25	6	2	33.33%	9	1	88.89%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	47	31	48	14	24	12
8	Detroit	4	2	2	0	0	0	0	0	7	9	-2	2	1	1	0	0	0	0	0	2	2	0	2	1	1	0	0	0	0	0	5	7	-2	4	0.500	7	14	21	0	0	2	3	2	0	125	42	44	39	0	118	53	38	74	19	1	5.26%	18	4	77.78%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	95	64	94	29	50	24
9	Edmonton	3	1	2	0	0	0	0	0	12	12	0	1	0	1	0	0	0	0	0	3	5	-2	2	1	1	0	0	0	0	0	9	7	2	2	0.333	12	19	31	0	0	6	2	4	0	89	37	32	20	0	101	23	22	45	16	3	18.75%	11	2	81.82%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	69	46	70	23	40	19
10	Floride	5	1	4	0	0	0	0	0	12	20	-8	3	1	2	0	0	0	0	0	7	11	-4	2	0	2	0	0	0	0	0	5	9	-4	2	0.200	12	23	35	0	0	4	6	2	0	148	48	53	47	0	218	67	64	99	14	3	21.43%	29	7	75.86%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	107	71	128	37	63	30
11	LosAngeles	3	2	0	0	1	0	0	0	9	3	6	1	0	0	0	1	0	0	0	3	2	1	2	2	0	0	0	0	0	0	6	1	5	6	1.000	9	15	24	0	1	3	3	2	1	113	32	38	42	1	76	24	28	60	15	2	13.33%	6	2	66.67%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	73	50	69	22	37	19
12	Minnesota	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	2	1	4	1.000	8	16	24	0	0	3	2	3	0	75	23	31	21	0	74	15	19	34	4	0	0.00%	7	0	100.00%	1	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	46	31	46	13	26	12
13	Montreal	4	0	4	0	0	0	0	0	10	18	-8	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	6	10	-4	0	0.000	10	17	27	0	0	4	2	4	0	132	47	48	37	0	153	55	32	79	12	4	33.33%	14	7	50.00%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	94	64	94	28	50	25
14	NYIslanders	7	1	4	0	2	0	0	0	23	27	-4	4	0	2	0	2	0	0	0	13	14	-1	3	1	2	0	0	0	0	0	10	13	-3	6	0.429	23	42	65	0	0	9	5	7	2	228	71	74	76	7	249	87	42	130	18	7	38.89%	20	4	80.00%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	158	109	178	50	88	42
15	NYRangers	6	3	2	0	0	0	1	0	30	22	8	3	2	1	0	0	0	0	0	13	9	4	3	1	1	0	0	0	1	0	17	13	4	8	0.667	30	52	82	0	0	10	10	9	1	206	67	70	69	3	187	51	28	103	25	5	20.00%	12	1	91.67%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	155	110	131	43	77	39
16	Philadelphie	6	2	3	0	0	0	0	1	24	21	3	3	1	1	0	0	0	0	1	14	12	2	3	1	2	0	0	0	0	0	10	9	1	5	0.417	24	39	63	0	0	14	4	6	1	187	66	59	62	6	205	71	73	101	14	5	35.71%	30	6	80.00%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	137	93	150	44	77	36
17	San Jose	2	0	2	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	1	1	0	0	44	12	15	17	0	103	33	29	35	2	0	0.00%	12	3	75.00%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	41	28	55	14	23	10
18	Seattle	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	5	10	15	0	0	1	2	2	0	60	28	14	18	0	75	28	24	58	7	2	28.57%	10	3	70.00%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	45	30	49	14	24	11
19	St. Louis	2	0	1	0	0	0	0	1	5	10	-5	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	3	7	-4	1	0.250	5	9	14	0	0	2	3	0	1	69	26	20	23	4	81	19	12	30	5	2	40.00%	6	1	83.33%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	50	35	46	15	27	14
20	Tampa Bay	4	2	0	0	0	1	0	1	16	12	4	2	2	0	0	0	0	0	0	9	3	6	2	0	0	0	0	1	0	1	7	9	-2	6	0.750	16	29	45	0	0	6	4	6	1	128	38	29	55	9	164	50	41	70	13	3	23.08%	17	3	82.35%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	93	63	99	31	53	26
21	Vancouver	2	0	1	0	1	0	0	0	5	5	0	1	0	1	0	0	0	0	0	1	2	-1	1	0	0	0	1	0	0	0	4	3	1	2	0.500	5	8	13	0	0	2	1	1	1	72	32	27	12	1	72	23	12	44	10	2	20.00%	6	1	83.33%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	50	35	47	13	24	12
22	Washington	6	2	4	0	0	0	0	0	15	20	-5	3	1	2	0	0	0	0	0	8	12	-4	3	1	2	0	0	0	0	0	7	8	-1	4	0.333	15	25	40	0	0	7	4	4	0	216	66	73	77	0	211	59	44	116	33	6	18.18%	15	2	86.67%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	139	96	142	45	78	39
23	Winnipeg	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	7	13	20	0	0	3	1	3	0	72	30	18	24	0	65	21	10	35	9	2	22.22%	5	2	60.00%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	48	33	45	15	25	12
	Total	82	27	44	0	6	1	1	3	264	291	-27	41	12	23	0	4	0	0	2	124	142	-18	41	15	21	0	2	1	1	1	140	149	-9	72	0.439	264	463	727	3	1	113	70	74	10	2615	881	838	878	34	3006	949	766	1501	305	64	20.98%	328	73	77.74%	2	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	1901	1297	2006	610	1046	514
	_Since Last GM Reset	82	27	44	0	6	1	1	3	264	291	-27	41	12	23	0	4	0	0	2	124	142	-18	41	15	21	0	2	1	1	1	140	149	-9	72	0.439	264	463	727	3	1	113	70	74	10	2615	881	838	878	34	3006	949	766	1501	305	64	20.98%	328	73	77.74%	2	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	1901	1297	2006	610	1046	514
	_Vs Conference	56	17	31	0	4	1	1	2	184	203	-19	29	8	17	0	3	0	0	1	95	104	-9	27	9	14	0	1	1	1	1	89	99	-10	47	0.420	184	320	504	1	0	79	47	53	7	1785	584	582	603	28	2060	667	544	1044	212	47	22.17%	234	51	78.21%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	1294	884	1377	418	713	349
	_Vs Division	31	10	16	0	3	0	1	1	112	112	0	16	4	8	0	3	0	0	1	59	59	0	15	6	8	0	0	0	1	0	53	53	0	29	0.468	112	194	306	0	0	52	27	29	5	1032	342	342	339	18	1095	350	294	590	123	30	24.39%	125	21	83.20%	0	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	726	500	758	230	394	193

			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	72	W1	264	463	727	2615	3006	949	766	1501	3	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	27	44	6	1	1	3	264	291

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	12	23	4	0	0	2	124	142

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	21	2	1	1	1	140	149

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
3	7	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
305	64	20.98%	328	73	77.74%	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
881	838	878	34	113	70	74	10

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
1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%

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
1901	1297	2006	610	1046	514

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
1	3	Pittsburgh	4	NYRangers	7	AL			Sommaire du match
2	13	Pittsburgh	4	Philadelphie	5	AL			Sommaire du match
4	24	NYIslanders	3	Pittsburgh	2	BL			Sommaire du match
6	38	Floride	2	Pittsburgh	3	BW			Sommaire du match
8	54	Pittsburgh	4	NYRangers	3	AW	X	X	Sommaire du match
10	65	NYRangers	1	Pittsburgh	4	BW			Sommaire du match
13	79	Columbus	3	Pittsburgh	4	BW	X		Sommaire du match
14	88	Pittsburgh	2	Floride	5	AL			Sommaire du match
16	101	Floride	5	Pittsburgh	1	BL			Sommaire du match
18	114	Pittsburgh	4	Tampa Bay	5	AL	X	X	Sommaire du match
20	126	Pittsburgh	3	Montreal	4	AL			Sommaire du match
22	133	Boston	6	Pittsburgh	4	BL			Sommaire du match
24	144	Pittsburgh	3	Washington	1	AW			Sommaire du match
26	158	Pittsburgh	4	Columbus	3	AW			Sommaire du match
28	169	NYIslanders	6	Pittsburgh	7	BW	X		Sommaire du match
30	178	Pittsburgh	3	NYIslanders	5	AL			Sommaire du match
32	195	NYRangers	5	Pittsburgh	4	BL			Sommaire du match
35	209	Montreal	3	Pittsburgh	0	BL			Sommaire du match
37	223	Columbus	5	Pittsburgh	4	BL			Sommaire du match
39	234	Pittsburgh	5	Philadelphie	2	AW			Sommaire du match
42	249	Detroit	1	Pittsburgh	2	BW			Sommaire du match
44	263	Philadelphie	1	Pittsburgh	6	BW			Sommaire du match
45	271	Pittsburgh	4	Columbus	2	AW			Sommaire du match
48	288	Pittsburgh	4	Vancouver	3	AW	X		Sommaire du match
49	296	Pittsburgh	1	Washington	3	AL			Sommaire du match
51	308	Pittsburgh	3	Montreal	6	AL			Sommaire du match
52	311	Tampa Bay	1	Pittsburgh	6	BW			Sommaire du match
54	329	Pittsburgh	3	Seattle	6	AL			Sommaire du match
56	341	LosAngeles	2	Pittsburgh	3	BW	X		Sommaire du match
59	356	Washington	5	Pittsburgh	2	BL			Sommaire du match
61	369	Pittsburgh	4	Detroit	3	AW			Sommaire du match
62	380	Montreal	5	Pittsburgh	4	BL			Sommaire du match
64	392	Pittsburgh	4	Dallas	6	AL			Sommaire du match
66	402	Anaheim	5	Pittsburgh	2	BL			Sommaire du match
69	418	Boston	7	Pittsburgh	5	BL			Sommaire du match
71	430	Pittsburgh	3	St. Louis	7	AL			Sommaire du match
72	439	Pittsburgh	3	LosAngeles	1	AW			Sommaire du match
74	451	Buffalo	3	Pittsburgh	1	BL			Sommaire du match
75	463	Dallas	1	Pittsburgh	3	BW			Sommaire du match
78	477	Pittsburgh	7	Chicago	3	AW			Sommaire du match
80	489	Chicago	2	Pittsburgh	3	BW			Sommaire du match
81	498	Pittsburgh	1	Detroit	4	AL			Sommaire du match
83	512	Pittsburgh	3	Colorado	4	AL			Sommaire du match
85	523	Detroit	1	Pittsburgh	0	BL			Sommaire du match
88	539	St. Louis	3	Pittsburgh	2	BL	X	X	Sommaire du match
90	550	Pittsburgh	3	Tampa Bay	4	AL	X		Sommaire du match
91	561	Vancouver	2	Pittsburgh	1	BL			Sommaire du match
93	575	Pittsburgh	3	LosAngeles	0	AW			Sommaire du match
95	587	Winnipeg	1	Pittsburgh	2	BW			Sommaire du match
98	600	Pittsburgh	5	Boston	4	AW	X		Sommaire du match
100	611	Tampa Bay	2	Pittsburgh	3	BW			Sommaire du match
102	622	Pittsburgh	1	Columbus	5	AL			Sommaire du match
104	635	NYIslanders	3	Pittsburgh	4	BW	X		Sommaire du match
106	652	Edmonton	5	Pittsburgh	3	BL			Sommaire du match
108	660	Pittsburgh	3	Anaheim	5	AL			Sommaire du match
109	671	Pittsburgh	3	Minnesota	2	AW			Sommaire du match
111	683	Washington	3	Pittsburgh	4	BW			Sommaire du match
113	694	Pittsburgh	1	San Jose	3	AL			Sommaire du match
115	705	Colorado	8	Pittsburgh	2	BL			Sommaire du match
116	717	Pittsburgh	2	Boston	1	AW			Sommaire du match
118	730	Philadelphie	5	Pittsburgh	4	BL	X	X	Sommaire du match
120	739	Pittsburgh	1	Philadelphie	2	AL			Sommaire du match
121	747	Pittsburgh	9	NYRangers	3	AW			Sommaire du match
124	764	Seattle	3	Pittsburgh	2	BL			Sommaire du match
126	780	NYRangers	3	Pittsburgh	5	BW			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
129	795	Floride	4	Pittsburgh	3	BL			Sommaire du match
131	807	Pittsburgh	3	Floride	4	AL			Sommaire du match
133	820	Pittsburgh	3	Washington	4	AL			Sommaire du match
135	829	Buffalo	5	Pittsburgh	4	BL			Sommaire du match
138	845	Columbus	4	Pittsburgh	3	BL			Sommaire du match
141	863	Pittsburgh	5	Winnipeg	3	AW			Sommaire du match
142	869	Minnesota	2	Pittsburgh	5	BW			Sommaire du match
145	889	NYIslanders	2	Pittsburgh	0	BL			Sommaire du match
147	899	Pittsburgh	2	NYIslanders	6	AL			Sommaire du match
150	913	Philadelphie	6	Pittsburgh	4	BL			Sommaire du match
152	922	Pittsburgh	5	NYIslanders	2	AW			Sommaire du match
154	936	San Jose	4	Pittsburgh	1	BL			Sommaire du match
155	940	Pittsburgh	6	Edmonton	3	AW			Sommaire du match
158	953	Pittsburgh	2	Buffalo	4	AL			Sommaire du match
160	964	Washington	4	Pittsburgh	2	BL			Sommaire du match
161	971	Pittsburgh	3	Edmonton	4	AL			Sommaire du match
163	979	Pittsburgh	4	Buffalo	2	AW			Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6760	5400	2600	4800	1075
Prix des billets	84	65	41	33	176
Assistance	262,349	196,940	102,819	188,976	41,037
Attendance PCT	94.66%	88.95%	96.45%	96.02%	93.11%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	19320 - 93.63%	1,709,408$	70,085,748$	20635	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
60,171,245$	49,039,000$	49,039,000$	0$	13,168,500$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
243,452$	50,941,833$	0$	28	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	315,388$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
13,734$	27,400,774$	27,387,040$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
64,110,333$	889,667$	65,000,000$	24,110,333$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Kevin Fiala	AGE:25	PO:66	OV:0
Adam Erne	AGE:27	PO:59	OV:0
Nick Ritchie	AGE:26	PO:57	OV:0
Viktor Arvidsson	AGE:29	PO:55	OV:0
Brendan Leipsic	AGE:28	PO:52	OV:0
Kerby Rychel	AGE:27	PO:51	OV:0
Alan Quine	AGE:29	PO:51	OV:0
Matt Nieto	AGE:29	PO:49	OV:0
Zemgus Girgensons	AGE:28	PO:48	OV:0
Lukas Sedlak	AGE:29	PO:47	OV:0
Milan Lucic	AGE:34	PO:41	OV:0
Shane Prince	AGE:29	PO:39	OV:0
Evgenii Dadonov	AGE:33	PO:37	OV:0
James Van Riemsdyk	AGE:33	PO:31	OV:0
Jiri Tlusty	AGE:34	PO:30	OV:0
Kyle Turris	AGE:32	PO:27	OV:0
Michael Frolik	AGE:34	PO:23	OV:0
Rob Schremp	AGE:36	PO:14	OV:0

Viktor Arvidsson	AGE:29	PO:55	OV:0
Alan Quine	AGE:29	PO:51	OV:0
Zemgus Girgensons	AGE:28	PO:48	OV:0
Lukas Sedlak	AGE:29	PO:47	OV:0
Zac Dalpe	AGE:32	PO:27	OV:0
Jean Gabriel Pageau	AGE:29	PO:27	OV:0
Kyle Turris	AGE:32	PO:27	OV:0
Rob Schremp	AGE:36	PO:14	OV:0

Kevin Fiala	AGE:25	PO:66	OV:0
Adam Erne	AGE:27	PO:59	OV:0
Viktor Arvidsson	AGE:29	PO:55	OV:0
Rickard Rakell	AGE:29	PO:53	OV:0
Tyler Pitlick	AGE:30	PO:53	OV:0
Alan Quine	AGE:29	PO:51	OV:0
Matt Nieto	AGE:29	PO:49	OV:0
Zemgus Girgensons	AGE:28	PO:48	OV:0
Shane Prince	AGE:29	PO:39	OV:0
Jordan Eberle	AGE:32	PO:38	OV:0
Evgenii Dadonov	AGE:33	PO:37	OV:0
Jesper Fast	AGE:30	PO:34	OV:0
James Van Riemsdyk	AGE:33	PO:31	OV:0
Jiri Tlusty	AGE:34	PO:30	OV:0
Zac Dalpe	AGE:32	PO:27	OV:0
Kyle Turris	AGE:32	PO:27	OV:0
Michael Frolik	AGE:34	PO:23	OV:0
Rob Schremp	AGE:36	PO:14	OV:0

Défense #1

Défense #2

Gardien

Noah Dobson	AGE:22	PO:88	OV:0
Tony DeAngelo	AGE:26	PO:73	OV:0
Ian McCoshen	AGE:26	PO:58	OV:0
Jamie Oleksiak	AGE:29	PO:58	OV:0
Tyson Barrie	AGE:30	PO:54	OV:0
Joakim Ryan	AGE:29	PO:48	OV:0

Scott Harrington	AGE:29	PO:47	OV:0
David Rundblad	AGE:31	PO:38	OV:0
Brian Lashoff	AGE:31	PO:30	OV:0
Karl Alzner	AGE:33	PO:26	OV:0
Ladislav Smid	AGE:36	PO:17	OV:0
Jonathan Ericsson	AGE:38	PO:10	OV:0

Karel Vejmelka (R)	AGE:26	PO:70	OV:0
Eric Comrie (R)	AGE:26	PO:53	OV:0
Anton Forsberg	AGE:29	PO:46	OV:0
Jonathan Quick	AGE:36	PO:38	OV:0
Adam Dennis	AGE:37	PO:14	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
Matthew Poitras	Pittsburgh	21	36
Matthew Savoie	Pittsburgh	21	17
Michael Rasmussen	Pittsburgh	16	19
Miko Matikka	Pittsburgh	21	108
Paul Bittner	Pittsburgh	14	51
Pavel Mintyukov	Pittsburgh	21	12
Samuel Dove-McFalls	Pittsburgh	14	154
Sergey Zborovskiy	Pittsburgh	14	134
Simon Nemec	Pittsburgh	21	4

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22
23
24
25
26

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

Pittsburgh Historique de transactions

[2024-03-12 04:56:37] - TRADE : From Chicago to Pittsburgh : $500,000 (Money), Y:22-RND:6-SEA.
[2024-03-12 00:44:57] - TRADE : From Pittsburgh to Boston : Mark Giordano, Y:23-RND:7-PIT.
[2024-03-12 00:44:57] - TRADE : From Boston to Pittsburgh : Scott Harrington, Y:23-RND:6-BOS.
[2024-03-12 00:40:55] - TRADE : From Columbus to Pittsburgh : Brendan Leipsic, Y:22-RND:4-ANA.
[2024-03-12 00:40:55] - TRADE : From Pittsburgh to Columbus : J.T. Compher.
[2024-03-04 19:15:38] - New Record for Team's Most Goals (9) in 1 Game for Pittsburgh!
[2024-03-01 19:13:34] - Anthony Mantha was added to Pittsburgh.
[2024-03-01 19:13:34] - Pittsburgh claimed Anthony Mantha from waivers by Dallas for $0.
[2024-03-01 03:54:49] - Pittsburgh show interest in Anthony Mantha from waiver.
[2024-02-17 22:08:13] - TRADE : From Washington to Pittsburgh : Paul Byron.
[2024-02-17 12:00:48] - TRADE : From Chicago to Pittsburgh : Zemgus Girgensons, Y:22-RND:4-TAM.
[2024-02-17 12:00:48] - TRADE : From Pittsburgh to Chicago : Vladimir Tarasenko, Y:22-RND:6-SEA, Y:22-RND:7-PIT.
[2024-02-17 11:54:42] - TRADE : From Anaheim to Pittsburgh : Y:22-RND:6-SEA.
[2024-02-17 11:54:42] - TRADE : From Pittsburgh to Anaheim : Cody Hodgson, Y:22-RND:7-DAL.
[2024-02-14 23:14:00] - TRADE : From Pittsburgh to Dallas : Roman Josi.
[2024-02-14 23:14:00] - TRADE : From Dallas to Pittsburgh : Y:22-RND:4-LA , Y:22-RND:7-DAL.
[2024-01-31 08:12:58] - TRADE : From Pittsburgh to Seattle : Jonathan Toews, Y:22-RND:4-PIT.
[2024-01-31 08:12:58] - TRADE : From Seattle to Pittsburgh : Y:22-RND:2-SEA.
[2024-01-28 15:27:07] - TRADE : From Pittsburgh to Chicago : Dmitry Kulikov.
[2024-01-28 15:27:07] - TRADE : From Chicago to Pittsburgh : Mark Giordano, Y:22-RND:3-WSH, Y:23-RND:4-CHI.
[2023-12-17 11:20:19] - TRADE : From Pittsburgh to Dallas : Y:22-RND:7-DAL.
[2023-12-17 11:20:19] - TRADE : From Dallas to Pittsburgh : Jonathan Quick.
[2023-12-14 21:51:36] - TRADE : From Pittsburgh to Anaheim : Zach Hyman, John Moore, Y:22-RND:5-DAL.
[2023-12-14 21:51:36] - TRADE : From Anaheim to Pittsburgh : Nick Ritchie, Y:22-RND:3-SEA.
[2023-12-11 19:59:47] - TRADE : From Buffalo to Pittsburgh : Vladimir Tarasenko.
[2023-12-11 19:58:41] - TRADE : From Washington to Pittsburgh : John Moore.
[2023-12-11 19:58:11] - TRADE : From Anaheim to Pittsburgh : Lukas Sedlak.
[2023-11-29 07:01:24] - TRADE : From Pittsburgh to Detroit : Alex Pietrangelo.
[2023-11-29 07:01:24] - TRADE : From Detroit to Pittsburgh : Roman Josi, Y:23-RND:3-DET.
[2023-11-10 18:32:15] - Evgeni Malkin has been selected as assistant for Pittsburgh.
[2023-11-10 18:32:15] - Unknown Player is no longer as assistant for Pittsburgh.
[2023-11-10 18:32:15] - John Carlson has been selected as assistant for Pittsburgh.
[2023-11-10 18:32:15] - Unknown Player is no longer as assistant for Pittsburgh.
[2023-11-10 18:32:15] - Alexander Wennberg has been selected as captain for Pittsburgh.
[2023-11-10 18:32:15] - Unknown Player is no longer captain for Pittsburgh.
[2023-11-09 06:04:40] - TRADE : From Pittsburgh to Boston : John Carlson.
[2023-11-09 06:04:40] - TRADE : From Boston to Pittsburgh : Dmitry Kulikov, $1,000,000 (Money), Y:23-RND:2-LA .
[2023-11-09 05:53:08] - TRADE : From Seattle to Pittsburgh : J.T. Compher, Kyle Turris, Matthew Savoie (P), Y:22-RND:1-SEA.
[2023-11-09 05:53:08] - TRADE : From Pittsburgh to Seattle : David Pastrnak, Lars Eller, Travis Konecny.
[2023-11-09 05:43:31] - TRADE : From Pittsburgh to Columbus : Alexander Wennberg, Evgeni Malkin.
[2023-11-09 05:43:31] - TRADE : From Columbus to Pittsburgh : Jonathan Toews, Zach Hyman, Simon Nemec (P), $2,000,000 (Money).
[2023-11-09 05:38:27] - TRADE : From Pittsburgh to Boston : Jonathan Quick.
[2023-11-09 05:38:27] - TRADE : From Boston to Pittsburgh : Karel Vejmelka, Y:22-RND:5-BUF.
[2023-10-19 08:23:48] - Karl Alzner signed with Pittsburgh for 500 000 $ for 1 year(s).
[2023-10-19 08:23:48] - Karl Alzner was added to Pittsburgh.
[2023-10-18 20:10:01] - David Rundblad was added to Pittsburgh.
[2023-10-18 20:10:01] - Pittsburgh claimed David Rundblad from waivers by Edmonton for 0 $.
[2023-10-18 19:25:51] - Pittsburgh show interest in David Rundblad from waiver.
[2023-10-07 21:18:11] - Karri Ramo was released.
[2023-10-07 21:18:11] - Pittsburgh paid 0 $ to release Karri Ramo.
[2023-10-07 21:18:04] - Cam Talbot was released.
[2023-10-07 21:18:04] - Pittsburgh paid 0 $ to release Cam Talbot.
[2023-10-07 21:17:55] - Clayton Stoner was released.
[2023-10-07 21:17:55] - Pittsburgh paid 0 $ to release Clayton Stoner.
[2023-10-07 21:17:45] - Keith Ballard was released.
[2023-10-07 21:17:45] - Pittsburgh paid 0 $ to release Keith Ballard.
[2023-10-07 21:17:38] - Ryan Callahan was released.
[2023-10-07 21:17:38] - Pittsburgh paid 0 $ to release Ryan Callahan.
[2023-10-05 06:45:45] - Jonathan Ericsson signed with Pittsburgh for 500 000 $ for 3 year(s).
[2023-10-05 06:45:45] - Jonathan Ericsson was added to Pittsburgh.
[2023-10-05 06:45:24] - Brian Lashoff signed with Pittsburgh for 500 000 $ for 3 year(s).
[2023-10-05 06:45:24] - Brian Lashoff was added to Pittsburgh.
[2023-10-05 06:26:11] - Alan Quine signed with Pittsburgh for 500 000 $ for 3 year(s) / Option : 1 Way Contract .
[2023-10-05 06:26:11] - Alan Quine was added to Pittsburgh.
[2023-10-03 14:57:35] - Adam Dennis signed with Pittsburgh for 500 000 $ for 1 year(s).
[2023-10-03 14:57:35] - Adam Dennis was added to Pittsburgh.
[2023-10-03 14:57:18] - Ladislav Smid signed with Pittsburgh for 500 000 $ for 2 year(s).
[2023-10-03 14:57:18] - Ladislav Smid was added to Pittsburgh.
[2023-10-03 14:56:55] - Shane Prince signed with Pittsburgh for 500 000 $ for 3 year(s).
[2023-10-03 14:56:55] - Shane Prince was added to Pittsburgh.
[2023-10-03 14:56:30] - Rob Schremp signed with Pittsburgh for 500 000 $ for 3 year(s).
[2023-10-03 14:56:30] - Rob Schremp was added to Pittsburgh.
[2023-10-02 14:39:55] - Jiri Tlusty signed with Pittsburgh for 700 000 $ for 3 year(s).
[2023-10-02 14:39:55] - Jiri Tlusty was added to Pittsburgh.

[2024-04-26 17:53:48] Pittsburgh lines for next game are empty. Current rosters/lines are not erased.
[2024-04-24 19:21:57] Pittsburgh lines for next game are empty. Current rosters/lines are not erased. But, Wilkes-Barre/Scranton lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2024-04-24 19:21:25] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2024-04-22 19:00:10] Pittsburgh lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 18:58:32] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2024-04-19 18:40:49] Pittsburgh lines for next game are empty. Current rosters/lines are not erased. But, Wilkes-Barre/Scranton lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2024-04-19 18:38:36] David Rundblad from Wilkes-Barre/Scranton is back from Exhaustion.
[2024-04-19 18:38:36] Jesper Fast from Wilkes-Barre/Scranton is back from Exhaustion.
[2024-04-19 18:28:25] Auto Lines Farm Function has been run for Wilkes-Barre/Scranton.
[2024-04-17 19:38:22] Chicago claimed Paul Byron from waivers by Pittsburgh for $0.
[2024-04-17 19:38:22] Jesper Fast from Wilkes-Barre/Scranton is injured from Exhaustion.
[2024-04-17 19:34:38] Lukas Sedlak from Wilkes-Barre/Scranton is back from Exhaustion.
[2024-04-17 19:34:38] Pittsburgh lines for next game are empty. Current rosters/lines are not erased. But, Wilkes-Barre/Scranton lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2024-04-17 19:34:38] David Rundblad from Wilkes-Barre/Scranton is injured from Exhaustion.
[2024-04-17 19:32:42] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2024-04-15 17:10:32] David Rundblad from Wilkes-Barre/Scranton is back from Exhaustion.
[2024-04-15 17:10:32] Jesper Fast from Wilkes-Barre/Scranton is back from Exhaustion.
[2024-04-15 17:10:32] Pittsburgh lines for next game are empty. Current rosters/lines are not erased.
[2024-04-15 17:09:19] Jesper Fast from Wilkes-Barre/Scranton is injured from Exhaustion.
[2024-04-15 17:09:19] David Rundblad from Wilkes-Barre/Scranton is injured from Exhaustion.
[2024-04-15 17:09:19] Lukas Sedlak from Wilkes-Barre/Scranton is injured from Exhaustion.
[2024-04-15 17:09:14] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2024-04-15 17:09:14] Paul Byron of Pittsburgh was sent down to farm.
[2024-04-15 17:09:12] Pittsburgh placed Paul Byron on waivers.
[2024-04-12 19:15:45] Lukas Sedlak from Wilkes-Barre/Scranton is back from Exhaustion.
[2024-04-12 19:15:45] David Rundblad from Wilkes-Barre/Scranton is back from Exhaustion.
[2024-04-12 19:15:45] Pittsburgh lines for next game are empty. Current rosters/lines are not erased.
[2024-04-12 19:14:34] Kerby Rychel of Pittsburgh was sent to pro.
[2024-04-12 19:14:34] David Rundblad from Wilkes-Barre/Scranton is injured from Exhaustion.
[2024-04-12 19:14:34] Lukas Sedlak from Wilkes-Barre/Scranton is injured from Exhaustion.
[2024-04-12 19:14:09] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2024-04-12 19:14:09] Kerby Rychel of Pittsburgh was sent down to farm.
[2024-04-10 19:24:23] Pittsburgh lines for next game are empty. Current rosters/lines are not erased.
[2024-04-10 19:23:05] Kerby Rychel of Pittsburgh was sent to pro.
[2024-04-10 19:11:13] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2024-04-08 22:14:31] Evgenii Dadonov from Wilkes-Barre/Scranton is back from Exhaustion.
[2024-04-08 22:14:31] Pittsburgh lines for next game are empty. Current rosters/lines are not erased.
[2024-04-08 22:11:50] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2024-04-08 22:11:50] Kerby Rychel of Pittsburgh was sent down to farm.
[2024-04-05 19:25:23] Jesper Fast from Wilkes-Barre/Scranton is back from Exhaustion.
[2024-04-05 19:25:22] Evgenii Dadonov from Wilkes-Barre/Scranton is injured from Exhaustion.
[2024-04-05 19:22:59] Kerby Rychel of Pittsburgh was sent to pro.
[2024-04-05 19:22:59] Pittsburgh lines for next game are empty. Current rosters/lines are not erased. But, Wilkes-Barre/Scranton lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2024-04-05 19:22:59] Jesper Fast from Wilkes-Barre/Scranton is injured from Exhaustion.
[2024-04-05 18:58:38] Successfully loaded Pittsburgh lines done with STHS Client - 3.3.5.5
[2024-04-03 18:52:52] Lukas Sedlak from Wilkes-Barre/Scranton is back from Exhaustion.

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	Jack Eichel	244	79	172	251	0	104	194	442	858	9.21%	30	4903	20.10	22	50	72	207	2	17	0	46.32%	1.02	1	10
2	Tage Thompson	246	68	108	176	9	90	360	196	834	8.15%	41	4811	19.56	14	41	55	165	1	10	5	42.51%	0.73	1	5
3	Kirill Kaprizov	164	80	86	166	6	44	264	200	686	11.66%	22	3270	19.94	22	26	48	168	0	12	10	46.62%	1.02	0	0
4	Miro Heiskanen	239	34	130	164	15	244	413	242	480	7.08%	377	5394	22.57	14	39	53	248	2	4	0	0%	0.61	0	0
5	Jonathan Huberdeau	246	66	86	152	6	98	307	231	580	11.38%	14	4222	17.16	18	24	42	112	0	9	7	32.34%	0.72	0	5

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	EG	PS %	PSA
1	Andrei Vasilevskiy	102	62	30	6	0.917	2.96	5885	12	2	290	3504	0	0	0	0
2	Louis Domingue	108	46	44	11	0.912	3.09	6117	6	7	315	3599	6	4	0.773	22
3	Ville Husso	42	17	17	5	0.898	3.34	2375	0	1	132	1300	1	0	0.643	14
4	Alexandar Georgiyev	10	4	3	3	0.911	2.74	592	4	0	27	303	0	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
21	82	41	29	0	5	7	0	0	284	251	33	41	18	14	0	3	6	0	0	129	130	-1	41	23	15	0	2	1	0	0	155	121	34	99	284	508	792	2	3	82	106	91	5	2860	900	1015	927	18	2973	920	660	1444	290	61	21.03%	278	45	83.81%	1	1340	2960	45.27%	1515	3293	46.01%	619	1350	45.85%	1892	1307	2010	609	1040	511
21	82	41	29	0	5	7	0	0	284	251	33	41	18	14	0	3	6	0	0	129	130	-1	41	23	15	0	2	1	0	0	155	121	34	99	284	508	792	2	3	82	106	91	5	2860	900	1015	927	18	2973	920	660	1444	290	61	21.03%	278	45	83.81%	1	1340	2960	45.27%	1515	3293	46.01%	619	1350	45.85%	1892	1307	2010	609	1040	511
Total Saison régulière	246	87	121	0	15	3	10	10	760	810	-50	123	43	60	0	11	0	3	6	371	389	-18	123	44	61	0	4	3	7	4	389	421	-32	237	760	1332	2092	6	5	305	211	219	39	7696	2547	2452	2633	138	8541	2702	2470	4433	938	190	20.26%	996	211	78.82%	6	4307	8872	48.55%	4562	9321	48.94%	2066	3983	51.87%	5800	3989	5967	1818	3129	1551
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 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: 34 \| L: 44 \| OTL: 4 \| P: 72 GF: 264 \| GA: 291 \| PP%: 20.98% \| PK%: 77.74% DG: Sebastien Lefebvre \| Morale : 50 \| Moyenne d’équipe : N/A