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

Centre de jeu
	Pittsburgh Penguins 5-8-1, 11pts	2	FINAL	4	Columbus Blue Jackets 6-7-1, 13pts

Team Stats
L2	Séquence	L1
4-3-0	Fiche domicile	4-3-0
1-5-1	Fiche visiteur	2-4-1
4-5-1	Derniers 10 matchs	3-7-0
3.50	Buts par match	3.21
4.07	Buts contre par match	3.86
32.61%	Pourcentage en avantage numérique	21.05%
70.73%	Pourcentage en désavantage numérique	78.00%

Carolina Hurricanes
5-8-1, 11pts

FINAL

Pittsburgh Penguins
5-8-1, 11pts

Team Stats
W1	Séquence	L2
3-3-1	Fiche domicile	4-3-0
2-5-0	Fiche visiteur	1-5-1
3-6-1	Derniers 10 matchs	4-5-1
2.64	Buts par match	3.50
3.86	Buts contre par match	4.07
19.51%	Pourcentage en avantage numérique	32.61%
81.25%	Pourcentage en désavantage numérique	70.73%

Meneurs d'équipe
	Buts Sidney Crosby 10	Passes Evgeni Malkin 13

	Points Evgeni Malkin 17	Plus/Moins Chad Ruhwedel 2

	Victoires Tristan Jarry 5	Pourcentage d’arrêts Tristan Jarry 0.891

Statistiques d’équipe
Buts pour 49 3.50 GFG	Tirs pour 485 34.64 Avg	Pourcentage en avantage numérique 32.6% 15 GF	Début de zone offensive 39.2%
Buts contre 57 4.07 GAA	Tirs contre 515 36.79 Avg	Pourcentage en désavantage numérique 70.7%% 12 GA	Début de la zone défensive 42.0%

Informations de l'équipe
	Directeur général	Jannik
	Entraîneur	Mike Sullivan
	Division	Metropolitan
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Consol Energy Center
	Capacité	18,000
	Assistance	17,165
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	38
	Limite contact	58 / 70
	Espoirs	14
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	71,506,749$
	Plafond salarial disponible	11,993,251$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	8,435,075$
	Dépenses annuelles à ce jour	72,506,742$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	32,442,972$
	Compte bancaire projeté	32,442,972$

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	#	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	Sidney Crosby	0	X				100.00	70	40	82	80	81	84	90	84	85	89	79	66	72	92	98	0	39	81	0	37	2	7,406,250$
2	Jake Guentzel	0		X	X		100.00	72	40	78	78	70	84	92	80	57	82	82	63	59	68	59	0	39	77	0	30	4	6,440,000$
3	Evgeni Malkin	0	X				100.00	69	40	74	75	73	80	80	80	74	86	76	64	69	88	61	0	39	76	0	38	2	6,188,000$
4	Reilly Smith	0		X	X		100.00	70	40	90	76	69	77	86	72	54	78	75	70	66	78	72	0	39	74	0	33	3	4,350,000$
5	Rickard Rakell	0		X	X		100.00	75	40	89	70	75	80	92	72	61	77	75	66	90	74	60	0	39	74	0	31	1	5,050,000$
6	Bryan Rust	0		X	X		100.00	72	57	86	71	77	79	89	72	54	79	73	68	72	70	59	0	39	73	0	32	3	4,350,000$
7	Brian Boyle	0	X				100.00	82	73	87	61	99	77	78	62	79	63	66	84	61	86	79	0	42	72	0	40	1	775,000$
8	Jeff Carter	0	X				100.00	72	40	82	68	86	71	91	65	90	73	67	74	64	94	75	0	39	72	0	39	1	2,650,000$
9	Lars Eller	0	X				100.00	73	40	78	72	79	72	91	63	81	72	65	75	58	84	61	0	39	71	0	35	1	2,650,000$
10	Noel Acciari	0	X				100.00	86	66	87	61	89	68	79	62	79	71	66	75	54	66	59	0	39	70	0	33	2	2,650,000$
11	Matt Nieto	0		X	X		100.00	69	47	89	70	74	69	87	61	56	71	65	76	54	74	60	0	39	69	0	32	1	2,450,000$
12	Colin White	0	X				100.00	72	40	89	65	75	62	75	61	68	72	63	70	54	63	67	0	39	67	0	27	1	775,000$
13	Erik Karlsson	0				X	100.00	65	40	85	94	74	95	85	81	40	91	71	73	57	83	81	0	39	80	0	34	1	8,775,000$
14	Kris Letang	0				X	100.00	78	47	79	85	80	96	91	72	40	81	65	79	59	86	71	0	39	78	0	37	2	4,250,000$
15	Ryan Graves	0				X	100.00	73	40	84	72	83	84	92	63	40	74	62	86	54	63	59	0	39	73	0	29	4	2,950,000$
16	Marcus Pettersson	0				X	100.00	73	58	78	74	63	81	90	63	40	77	58	86	54	65	59	0	39	72	0	28	4	3,250,000$
17	Chad Ruhwedel	0				X	100.00	74	40	84	67	76	71	80	57	40	69	58	86	54	63	59	0	39	69	0	34	1	1,750,000$
18	Mark Pysyk	0				X	100.00	60	38	84	67	71	74	80	56	38	64	56	86	51	67	56	0	39	67	0	32	1	775,000$
Rayé
Équipe Mineure
1	Vinnie Hinostroza	0	X				100.00	62	44	82	67	68	65	68	62	58	71	61	66	57	66	59	0	37	65	0	30	1	2,650,000$
2	Alex Nylander	0		X	X		100.00	62	46	70	67	72	68	60	57	54	67	61	61	55	58	57	0	37	63	0	26	1	775,000$
3	Drew O'Connor	0		X	X		100.00	68	48	76	62	71	59	63	58	58	64	60	67	54	58	56	0	37	63	0	26	1	1,100,000$
4	Jansen Harkins	0	X				100.00	63	57	77	63	66	61	69	60	66	64	63	68	54	60	57	0	37	63	0	27	1	775,000$
5	Radim Zohorna	0		X	X		100.00	56	57	68	57	76	63	61	58	69	59	59	64	54	63	58	0	37	61	0	28	2	1,550,000$
6	Valtteri Puustinen	0		X	X		100.00	55	60	66	64	59	68	66	63	55	60	62	58	54	58	55	0	37	61	0	25	1	775,000$
7	Dillon Hamaliuk	0		X	X		100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	37	60	0	24	1	775,000$
8	Joona Koppanen	0		X	X		100.00	55	57	66	59	67	66	64	59	56	58	58	63	58	60	56	0	37	60	0	26	1	775,000$
9	Austin Rueschhoff	0	X				100.00	55	56	65	58	76	64	63	57	55	57	57	60	54	62	57	0	37	59	0	27	1	775,000$
10	Jonathan Gruden	0	X				100.00	56	56	64	58	59	65	64	59	65	57	59	60	54	56	54	0	37	59	0	24	1	775,000$
11	Marc Johnstone	0		X	X		100.00	55	54	66	57	60	63	62	57	55	55	56	61	54	63	58	0	37	58	0	28	1	775,000$
12	Corey Andonovski	0		X	X		100.00	56	56	65	57	64	63	62	56	55	55	56	59	54	58	55	0	37	58	0	25	1	775,000$
13	Pierre-Olivier Joseph	0				X	100.00	63	45	73	70	68	70	72	60	40	69	60	72	54	57	57	0	37	66	0	25	2	1,400,000$
14	Mark Friedman	0				X	100.00	64	63	75	59	68	65	60	56	40	64	56	74	54	59	58	0	37	63	0	29	1	1,750,000$
15	Libor Hajek	0				X	100.00	60	46	76	65	75	64	61	54	40	62	56	71	54	58	57	0	37	62	0	26	1	775,000$
16	Ty Smith	0				X	100.00	60	50	73	62	63	69	68	59	40	64	58	65	54	57	56	0	37	62	0	24	1	775,000$
17	Ryan Shea	0				X	100.00	55	55	65	59	63	67	65	59	40	58	56	66	54	62	57	0	37	60	0	27	1	800,000$
18	Owen Pickering (R)	0				X	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	37	60	0	20	1	775,000$
19	Samuel Houde	0	X				100.00	55	59	66	57	58	64	63	56	70	56	58	59	54	56	54	0	26	58	0	24	1	775,000$
20	Matt Filipe	0	X				100.00	53	55	61	55	63	62	60	53	52	53	53	59	51	58	53	0	26	56	0	27	1	775,000$
21	Maxim Cajkovic	0		X	X		100.00	54	54	68	54	65	55	55	54	55	54	54	60	54	55	53	0	26	56	0	23	1	775,000$
22	Sam Poulin	0		X	X		100.00	54	50	65	54	67	55	53	52	64	52	52	57	53	52	51	0	26	54	0	23	1	775,000$
23	Justin Addamo	0		X	X		100.00	52	52	64	52	75	54	53	52	52	51	53	55	51	58	53	0	26	54	0	26	1	775,000$
24	Jagger Joshua	0	X	X	X		100.00	55	51	64	51	63	52	52	51	52	51	51	57	51	56	52	0	26	53	0	25	1	775,000$
25	Jordan Frasca	0	X	X	X		100.00	54	51	64	51	59	52	52	51	52	51	51	57	51	52	50	0	26	53	0	23	1	775,000$
26	Jack Rathbone	0				X	100.00	56	54	71	59	63	62	59	57	40	59	57	64	54	58	55	0	26	60	0	25	1	775,000$
27	Isaac Belliveau (R)	0				X	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	26	60	0	22	1	775,000$
28	Emil Pieniniemi (R)	0				X	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	26	60	0	19	1	775,000$
29	Dmitri Samorukov	0				X	100.00	55	54	66	60	65	67	64	57	40	57	55	62	56	58	55	0	26	59	0	25	1	775,000$
30	Taylor Fedun	0				X	100.00	55	54	67	59	66	64	62	55	40	56	55	61	54	77	65	0	26	59	0	36	1	775,000$
31	Xavier Ouellet	0				X	100.00	55	55	65	59	63	62	61	58	40	58	55	62	54	69	61	0	26	59	0	31	1	775,000$
32	John Ludvig	0				X	100.00	55	55	65	56	68	61	60	56	40	56	55	63	54	56	54	0	26	58	0	24	2	800,000$
33	Jack St. Ivany	0				X	100.00	52	51	63	54	64	63	61	52	38	53	51	54	51	56	52	0	26	54	0	25	1	775,000$
34	Justin Lee	0				X	100.00	51	51	65	51	60	52	52	51	38	51	51	57	51	54	51	0	26	53	0	24	1	775,000$

	MOYENNE D’ÉQUIPE						100.00	62	51	73	64	69	67	70	61	55	64	61	66	57	65	60	0	34	64

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Tristan Jarry	0	100.00	83	88	88	80	79	80	88	78	86	77	82	64	57	0	32	82	0	29	4	3,650,000$
2	Magnus Hellberg	0	100.00	70	61	61	92	68	79	71	65	71	64	72	58	56	0	42	70	0	33	1	775,000$
Rayé
Équipe Mineure
1	Alex Nedeljkovic	0	100.00	66	72	71	70	72	71	74	64	71	72	69	62	57	0	31	70	0	28	3	1,750,000$
2	Garret Sparks	0	100.00	55	56	56	69	64	55	67	56	59	56	65	71	61	0	41	60	0	31	1	775,000$
3	Joel Blomqvist	0	100.00	54	54	54	66	64	54	66	54	58	55	65	52	50	0	33	58	0	22	1	775,000$
4	Taylor Gauthier	0	100.00	54	56	56	64	63	52	64	56	54	54	56	51	48	0	33	57	0	23	1	775,000$

	MOYENNE D’ÉQUIPE		100.00	64	65	64	74	68	65	72	62	67	63	68	60	55	0	35	66

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Sullivan	84	90	91	87	81	75	68	USA	54	7	1,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	FW	S1	S2	S3
1	Evgeni Malkin	Pittsburgh Penguins	C	14	4	13	17	-3	10	0	32	34	38	18	41	10.53%	0	271	19.41	1	6	7	8	37	0	28	0	0	46.70%	394	1.25	0	0	2	0
2	Sidney Crosby	Pittsburgh Penguins	C	14	10	6	16	-4	6	0	15	42	49	10	24	20.41%	1	309	22.08	1	4	5	6	36	0	30	3	0	52.57%	447	1.03	0	1	2	0
3	Rickard Rakell	Pittsburgh Penguins	LW/RW	14	7	4	11	-3	0	0	16	9	28	11	18	25.00%	7	273	19.57	1	1	2	6	37	0	32	0	0	16.67%	24	0.80	0	0	1	0
4	Erik Karlsson	Pittsburgh Penguins	D	14	1	9	10	-9	2	0	7	29	32	5	20	3.13%	12	326	23.35	1	4	5	20	37	0	34	0	0	0%	0	0.61	0	0	0	0
5	Kris Letang	Pittsburgh Penguins	D	14	3	7	10	-8	8	0	40	16	30	5	24	10.00%	22	341	24.40	2	2	4	18	36	0	30	0	0	0%	0	0.59	0	0	0	2
6	Marcus Pettersson	Pittsburgh Penguins	D	14	1	9	10	-7	4	0	24	15	29	4	17	3.45%	21	290	20.78	1	7	8	18	37	0	29	0	0	0%	0	0.69	0	0	0	0
7	Bryan Rust	Pittsburgh Penguins	LW/RW	14	2	7	9	-5	2	0	16	16	33	10	27	6.06%	2	276	19.72	1	1	2	11	36	0	2	0	0	45.45%	22	0.65	0	0	0	0
8	Jake Guentzel	Pittsburgh Penguins	LW/RW	14	3	6	9	-4	8	0	29	15	48	13	39	6.25%	1	314	22.48	2	2	4	13	36	1	29	1	0	52.94%	17	0.57	0	0	0	0
9	Reilly Smith	Pittsburgh Penguins	LW/RW	14	5	4	9	-2	2	0	13	8	49	4	13	10.20%	1	239	17.08	2	1	3	11	36	1	1	0	0	47.06%	17	0.75	0	0	1	0
10	Ryan Graves	Pittsburgh Penguins	D	14	3	5	8	-3	4	0	16	13	25	5	19	12.00%	32	309	22.13	2	1	3	13	35	0	29	0	1	0%	0	0.52	0	0	0	0
11	Jeff Carter	Pittsburgh Penguins	C	14	3	4	7	0	6	0	10	12	20	8	20	15.00%	5	179	12.84	0	0	0	0	0	0	0	0	0	58.33%	48	0.78	0	0	1	0
12	Brian Boyle	Pittsburgh Penguins	C	14	3	3	6	-1	9	5	20	19	26	4	17	11.54%	3	193	13.83	0	0	0	0	0	0	6	1	0	54.50%	189	0.62	1	0	0	0
13	Chad Ruhwedel	Pittsburgh Penguins	D	14	2	4	6	2	12	0	26	12	11	3	12	18.18%	18	213	15.23	1	0	1	1	0	0	7	0	1	0%	0	0.56	0	1	1	0
14	Mark Pysyk	Pittsburgh Penguins	D	14	1	5	6	2	4	0	6	12	8	2	8	12.50%	14	205	14.66	0	0	0	0	0	0	0	0	0	0%	0	0.58	0	0	0	1
15	Matt Nieto	Pittsburgh Penguins	LW/RW	14	1	2	3	0	2	0	13	13	29	7	18	3.45%	2	180	12.90	0	0	0	0	0	0	0	0	0	44.44%	9	0.33	0	0	0	1
16	Colin White	Pittsburgh Penguins	C	14	0	1	1	-4	0	0	0	4	7	1	3	0%	1	72	5.20	0	0	0	0	0	0	0	0	0	0%	5	0.27	0	0	0	0
17	Lars Eller	Pittsburgh Penguins	C	14	0	1	1	-4	0	0	9	16	13	1	7	0%	0	80	5.77	0	0	0	0	0	0	0	0	0	59.09%	88	0.25	0	0	0	0
18	Noel Acciari	Pittsburgh Penguins	C	14	0	0	0	-4	6	0	9	0	10	1	3	0%	0	72	5.19	0	0	0	0	0	0	0	0	0	28.57%	7	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				252	49	90	139	-57	85	5	301	285	485	112	330	10.10%	142	4152	16.48	15	29	44	125	366	2	263	5	2	50.43%	1267	0.67	1	2	8	4

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	GA	SA	A	PS %	ST	BG	S1
1	Tristan Jarry	Pittsburgh Penguins	14	5	7	1	0.891	4.00	765	4	51	466	1	0	14	0	2
2	Magnus Hellberg	Pittsburgh Penguins	2	0	1	0	0.878	4.50	80	0	6	49	0	0	0	14	0
Statistiques d’équipe totales ou en moyenne			16	5	8	1	0.889	4.05	845	4	57	515	1		14	14	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	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire moyen	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10	Lien
Brian Boyle	Pittsburgh Penguins	C	40	18.12.1984	No	111 Kg	198 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Bryan Rust	Pittsburgh Penguins	LW/RW	32	11.05.1992	No	87 Kg	180 CM	No	No	N/A	No	No	3	False	False	Pro & Farm	4,350,000$	4,350,000$	4,350,000$	0$	No	4,350,000$	4,350,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Chad Ruhwedel	Pittsburgh Penguins	D	34	07.05.1990	No	87 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Colin White	Pittsburgh Penguins	C	27	30.01.1997	No	88 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Erik Karlsson	Pittsburgh Penguins	D	34	31.05.1990	No	86 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	8,775,000$	8,775,000$	8,775,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Evgeni Malkin	Pittsburgh Penguins	C	38	31.07.1986	No	89 Kg	191 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	6,188,000$	6,188,000$	6,188,000$	0$	No	6,188,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jake Guentzel	Pittsburgh Penguins	LW/RW	30	06.10.1994	No	82 Kg	180 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	6,440,000$	6,440,000$	6,440,000$	0$	No	6,440,000$	6,440,000$	6,440,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Jeff Carter	Pittsburgh Penguins	C	39	01.01.1985	No	100 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	2,650,000$	2,650,000$	2,650,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Kris Letang	Pittsburgh Penguins	D	37	24.04.1987	No	91 Kg	183 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	4,250,000$	4,250,000$	4,250,000$	0$	No	4,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Lars Eller	Pittsburgh Penguins	C	35	08.05.1989	No	93 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	2,650,000$	2,650,000$	2,650,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Magnus Hellberg	Pittsburgh Penguins	G	33	04.04.1991	No	100 Kg	198 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Marcus Pettersson	Pittsburgh Penguins	D	28	08.05.1996	No	80 Kg	191 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	0$	No	3,250,000$	3,250,000$	3,250,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Mark Pysyk	Pittsburgh Penguins	D	32	11.01.1992	No	90 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Matt Nieto	Pittsburgh Penguins	LW/RW	32	05.11.1992	No	85 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	2,450,000$	2,450,000$	2,450,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Noel Acciari	Pittsburgh Penguins	C	33	01.12.1991	No	95 Kg	178 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	2,650,000$	2,650,000$	2,650,000$	0$	No	2,650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Reilly Smith	Pittsburgh Penguins	LW/RW	33	01.04.1991	No	84 Kg	185 CM	No	No	N/A	No	No	3	False	False	Pro & Farm	4,350,000$	4,350,000$	4,350,000$	0$	No	4,350,000$	4,350,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Rickard Rakell	Pittsburgh Penguins	LW/RW	31	05.05.1993	No	89 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	5,050,000$	5,050,000$	5,050,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Ryan Graves	Pittsburgh Penguins	D	29	21.05.1995	No	100 Kg	196 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	2,950,000$	2,950,000$	2,950,000$	0$	No	2,950,000$	2,950,000$	2,950,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Sidney Crosby	Pittsburgh Penguins	C	37	07.08.1987	No	91 Kg	180 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	7,406,250$	7,406,250$	7,406,250$	0$	No	7,406,250$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Tristan Jarry	Pittsburgh Penguins	G	29	29.04.1995	No	88 Kg	188 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	3,650,000$	3,650,000$	3,650,000$	0$	No	3,650,000$	3,650,000$	3,650,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	33.15	91 Kg	185 CM	2.00	3,595,463$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
71,909,250$	45,484,250$	24,990,000$	16,290,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jake Guentzel	Sidney Crosby	Bryan Rust	36	1	2	2
2	Rickard Rakell	Evgeni Malkin	Reilly Smith	30	1	2	2
3	Jeff Carter	Brian Boyle	Matt Nieto	25	1	2	2
4	Noel Acciari	Lars Eller	Colin White	9	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Kris Letang	38	1	2	2
2	Erik Karlsson	Marcus Pettersson	33	1	2	2
3	Chad Ruhwedel	Mark Pysyk	29	1	2	2
4	Erik Karlsson	Kris Letang	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jake Guentzel	Sidney Crosby	Reilly Smith	50	1	2	2
2	Rickard Rakell	Evgeni Malkin	Bryan Rust	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Karlsson	Kris Letang	50	1	2	2
2	Ryan Graves	Marcus Pettersson	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Sidney Crosby	Jake Guentzel	50	1	2	2
2	Evgeni Malkin	Rickard Rakell	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Karlsson	Kris Letang	50	1	2	2
2	Ryan Graves	Marcus Pettersson	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Sidney Crosby	50	1	2	2	Erik Karlsson	Kris Letang	50	1	2	2
2	Evgeni Malkin	50	1	2	2	Ryan Graves	Marcus Pettersson	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Sidney Crosby	Jake Guentzel	50	1	2	2
2	Evgeni Malkin	Rickard Rakell	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Karlsson	Kris Letang	50	1	2	2
2	Ryan Graves	Marcus Pettersson	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jake Guentzel	Sidney Crosby	Reilly Smith	Erik Karlsson	Kris Letang

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jake Guentzel	Sidney Crosby	Reilly Smith	Erik Karlsson	Kris Letang

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Rickard Rakell, Bryan Rust, Brian Boyle	Rickard Rakell, Bryan Rust	Rickard Rakell

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Marcus Pettersson, Chad Ruhwedel, Mark Pysyk	Marcus Pettersson	Marcus Pettersson, Chad Ruhwedel

Tirs de pénalité
Sidney Crosby, Jake Guentzel, Evgeni Malkin, Reilly Smith, Rickard Rakell

Gardien
#1 : Tristan Jarry, #2 : Magnus Hellberg

Lignes d’attaque personnalisées en prolongation
Sidney Crosby, Jake Guentzel, Evgeni Malkin, Reilly Smith, Rickard Rakell, Bryan Rust, Bryan Rust, Brian Boyle, Jeff Carter, Lars Eller, Noel Acciari

Lignes de défense personnalisées en prolongation
Erik Karlsson, Kris Letang, Ryan Graves, Marcus Pettersson, Chad Ruhwedel

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	Carolina Hurricanes	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	4	7	11	0	0	0	2	2	0	71	26	33	12	0	70	10	10	39	6	0	0.00%	4	3	25.00%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	49	35	42	14	27	13
2	Columbus Blue Jackets	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	7	14	21	0	0	4	0	3	0	78	24	25	29	0	81	27	21	36	6	2	33.33%	8	1	87.50%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	45	30	48	15	26	13
3	New Jersey Devils	2	0	2	0	0	0	0	0	9	14	-5	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	6	7	-1	0	0.000	9	16	25	0	0	1	2	6	0	59	16	17	26	0	77	22	12	41	7	5	71.43%	6	3	50.00%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	42	28	51	15	26	13
4	New York Islanders	2	0	1	0	1	0	0	0	6	6	0	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	6	11	17	0	0	1	3	1	1	74	20	26	25	3	69	18	6	51	2	1	50.00%	3	2	33.33%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	46	31	47	14	27	13
5	New York Rangers	2	0	1	0	0	1	0	0	6	8	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	6	12	18	0	0	4	1	1	0	73	33	20	17	3	73	19	12	44	8	2	25.00%	6	1	83.33%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	46	31	50	15	26	12
6	Philadelphia Flyers	2	1	0	0	1	0	0	0	9	5	4	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	3	3	4	1.000	9	18	27	0	0	1	3	4	1	62	13	18	27	4	68	21	14	39	7	3	42.86%	7	1	85.71%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	49	34	48	13	24	12
7	Washington Capitals	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	12	20	0	0	4	3	1	0	68	20	33	15	0	77	25	14	51	10	2	20.00%	7	1	85.71%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	43	28	50	15	26	13
	Total	14	3	8	0	2	1	0	0	49	57	-8	7	2	3	0	2	0	0	0	24	24	0	7	1	5	0	0	1	0	0	25	33	-8	11	0.393	49	90	139	0	0	15	14	18	2	485	152	172	151	10	515	142	89	301	46	15	32.61%	41	12	70.73%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	323	219	339	104	183	91
	_Since Last GM Reset	14	3	8	0	2	1	0	0	49	57	-8	7	2	3	0	2	0	0	0	24	24	0	7	1	5	0	0	1	0	0	25	33	-8	11	0.393	49	90	139	0	0	15	14	18	2	485	152	172	151	10	515	142	89	301	46	15	32.61%	41	12	70.73%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	323	219	339	104	183	91
	_Vs Conference	14	3	8	0	2	1	0	0	49	57	-8	7	2	3	0	2	0	0	0	24	24	0	7	1	5	0	0	1	0	0	25	33	-8	11	0.393	49	90	139	0	0	15	14	18	2	485	152	172	151	10	515	142	89	301	46	15	32.61%	41	12	70.73%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	323	219	339	104	183	91
	_Vs Division	14	3	8	0	2	1	0	0	49	57	-8	7	2	3	0	2	0	0	0	24	24	0	7	1	5	0	0	1	0	0	25	33	-8	11	0.393	49	90	139	0	0	15	14	18	2	485	152	172	151	10	515	142	89	301	46	15	32.61%	41	12	70.73%	0	251	492	51.02%	261	527	49.53%	127	237	53.59%	323	219	339	104	183	91

			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
14	11	L2	49	90	139	485	515	142	89	301	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	3	8	2	1	0	0	49	57

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	3	2	0	0	0	24	24

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	5	0	1	0	0	25	33

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	5	0	1	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
46	15	32.61%	41	12	70.73%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
152	172	151	10	15	14	18	2

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
251	492	51.02%	261	527	49.53%	127	237	53.59%

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
323	219	339	104	183	91

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	Lien
1	5	Pittsburgh Penguins	3	New York Islanders	4	L		Sommaire du match
3	21	New York Islanders	2	Pittsburgh Penguins	3	W	X	Sommaire du match
5	38	Pittsburgh Penguins	6	New Jersey Devils	7	L		Sommaire du match
7	54	New Jersey Devils	7	Pittsburgh Penguins	3	L		Sommaire du match
9	71	New York Rangers	3	Pittsburgh Penguins	2	L		Sommaire du match
10	84	Pittsburgh Penguins	4	New York Rangers	5	L	X	Sommaire du match
13	99	Washington Capitals	2	Pittsburgh Penguins	6	W		Sommaire du match
15	122	Pittsburgh Penguins	2	Carolina Hurricanes	6	L		Sommaire du match
16	130	Pittsburgh Penguins	6	Philadelphia Flyers	3	W		Sommaire du match
18	147	Pittsburgh Penguins	2	Washington Capitals	4	L		Sommaire du match
20	159	Philadelphia Flyers	2	Pittsburgh Penguins	3	W	X	Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
22	177	Columbus Blue Jackets	4	Pittsburgh Penguins	5	W		Sommaire du match
26	203	Pittsburgh Penguins	2	Columbus Blue Jackets	4	L		Sommaire du match
28	216	Carolina Hurricanes	4	Pittsburgh Penguins	2	L		Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	39,746	33,842	13,433	26,672	6,465
Attendance PCT	94.63%	96.69%	95.95%	95.26%	92.36%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	17165 - 95.36%	1,205,011$	8,435,075$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
72,506,742$	71,909,250$	71,909,250$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
2,396,975$	71,506,749$	0$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	2,430,308$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	32,442,972$	32,442,972$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
71,506,749$	11,993,251$	83,500,000$	31,506,749$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jake Guentzel	AGE:30	PO:0	OV:77
Reilly Smith	AGE:33	PO:0	OV:74
Rickard Rakell	AGE:31	PO:0	OV:74
Bryan Rust	AGE:32	PO:0	OV:73
Matt Nieto	AGE:32	PO:0	OV:69
Alex Nylander	AGE:26	PO:0	OV:63
Drew O'Connor	AGE:26	PO:0	OV:63
Radim Zohorna	AGE:28	PO:0	OV:61
Valtteri Puustinen	AGE:25	PO:0	OV:61
Dillon Hamaliuk	AGE:24	PO:0	OV:60
Joona Koppanen	AGE:26	PO:0	OV:60
Marc Johnstone	AGE:28	PO:0	OV:58
Corey Andonovski	AGE:25	PO:0	OV:58
Maxim Cajkovic	AGE:23	PO:0	OV:56
Sam Poulin	AGE:23	PO:0	OV:54
Justin Addamo	AGE:26	PO:0	OV:54
Jagger Joshua	AGE:25	PO:0	OV:53
Jordan Frasca	AGE:23	PO:0	OV:53

Sidney Crosby	AGE:37	PO:0	OV:81
Evgeni Malkin	AGE:38	PO:0	OV:76
Brian Boyle	AGE:40	PO:0	OV:72
Jeff Carter	AGE:39	PO:0	OV:72
Lars Eller	AGE:35	PO:0	OV:71
Noel Acciari	AGE:33	PO:0	OV:70
Colin White	AGE:27	PO:0	OV:67
Vinnie Hinostroza	AGE:30	PO:0	OV:65
Jansen Harkins	AGE:27	PO:0	OV:63
Austin Rueschhoff	AGE:27	PO:0	OV:59
Jonathan Gruden	AGE:24	PO:0	OV:59
Samuel Houde	AGE:24	PO:0	OV:58
Matt Filipe	AGE:27	PO:0	OV:56
Jagger Joshua	AGE:25	PO:0	OV:53
Jordan Frasca	AGE:23	PO:0	OV:53

Jake Guentzel	AGE:30	PO:0	OV:77
Reilly Smith	AGE:33	PO:0	OV:74
Rickard Rakell	AGE:31	PO:0	OV:74
Bryan Rust	AGE:32	PO:0	OV:73
Matt Nieto	AGE:32	PO:0	OV:69
Alex Nylander	AGE:26	PO:0	OV:63
Drew O'Connor	AGE:26	PO:0	OV:63
Radim Zohorna	AGE:28	PO:0	OV:61
Valtteri Puustinen	AGE:25	PO:0	OV:61
Dillon Hamaliuk	AGE:24	PO:0	OV:60
Joona Koppanen	AGE:26	PO:0	OV:60
Marc Johnstone	AGE:28	PO:0	OV:58
Corey Andonovski	AGE:25	PO:0	OV:58
Maxim Cajkovic	AGE:23	PO:0	OV:56
Sam Poulin	AGE:23	PO:0	OV:54
Justin Addamo	AGE:26	PO:0	OV:54
Jagger Joshua	AGE:25	PO:0	OV:53
Jordan Frasca	AGE:23	PO:0	OV:53

Défense #1

Défense #2

Gardien

Erik Karlsson	AGE:34	PO:0	OV:80
Kris Letang	AGE:37	PO:0	OV:78
Ryan Graves	AGE:29	PO:0	OV:73
Marcus Pettersson	AGE:28	PO:0	OV:72
Chad Ruhwedel	AGE:34	PO:0	OV:69
Mark Pysyk	AGE:32	PO:0	OV:67
Pierre-Olivier Joseph	AGE:25	PO:0	OV:66
Mark Friedman	AGE:29	PO:0	OV:63
Libor Hajek	AGE:26	PO:0	OV:62
Ty Smith	AGE:24	PO:0	OV:62
Jack Rathbone	AGE:25	PO:0	OV:60

Ryan Shea	AGE:27	PO:0	OV:60
Owen Pickering (R)	AGE:20	PO:0	OV:60
Isaac Belliveau (R)	AGE:22	PO:0	OV:60
Emil Pieniniemi (R)	AGE:19	PO:0	OV:60
Dmitri Samorukov	AGE:25	PO:0	OV:59
Taylor Fedun	AGE:36	PO:0	OV:59
Xavier Ouellet	AGE:31	PO:0	OV:59
John Ludvig	AGE:24	PO:0	OV:58
Jack St. Ivany	AGE:25	PO:0	OV:54
Justin Lee	AGE:24	PO:0	OV:53

Tristan Jarry	AGE:29	PO:0	OV:82
Alex Nedeljkovic	AGE:28	PO:0	OV:70
Magnus Hellberg	AGE:33	PO:0	OV:70
Garret Sparks	AGE:31	PO:0	OV:60
Joel Blomqvist	AGE:22	PO:0	OV:58
Taylor Gauthier	AGE:23	PO:0	OV:57

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	Information	Date de la Dernière Transaction	Lien
Brayden Yager	Pittsburgh Penguins	0	0
Chase Yoder	Pittsburgh Penguins	0	0
Cooper Foster	Pittsburgh Penguins	0	0
Daniel Laatsch	Pittsburgh Penguins	0	0
Emil Jarventie	Pittsburgh Penguins	0	0
Kalle Kangas	Pittsburgh Penguins	0	0
Kirill Tankov	Pittsburgh Penguins	0	0
Luke Devlin	Pittsburgh Penguins	0	0
Mikhail Ilyin	Pittsburgh Penguins	0	0
Nolan Collins	Pittsburgh Penguins	0	0
Sergei Murashov	Pittsburgh Penguins	0	0
Thimo Nickl	Pittsburgh Penguins	0	0
Tristan Broz	Pittsburgh Penguins	0	0
Zam Plante	Pittsburgh Penguins	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2
3
4
5
6
Choix au repêchage conditionnel

La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.

Pittsburgh Penguins Historique de transactions

[07.03.2024 19:59:58] - New Record for Team's Most Shots (52) in 1 Game for Pittsburgh Penguins!
[05.03.2024 19:46:19] - New Record for Team's Most Penalties Minutes (14) in 1 Game for Pittsburgh Penguins!
[01.03.2024 19:03:34] - New Record for Team's Most Points (18) in 1 Game for Pittsburgh Penguins!
[01.03.2024 19:03:34] - New Record for Team's Most Assists (12) in 1 Game for Pittsburgh Penguins!
[27.02.2024 19:13:39] - New Record for Team's Most Hits (31) in 1 Game for Pittsburgh Penguins!
[27.02.2024 19:13:39] - New Record for Team's Most Penalties Minutes (10) in 1 Game for Pittsburgh Penguins!
[27.02.2024 19:13:39] - New Record for Team's Most Shots Blocked (19) in 1 Game for Pittsburgh Penguins!
[24.02.2024 19:05:25] - New Record for Team's Most Shots (46) in 1 Game for Pittsburgh Penguins!
[23.02.2024 15:43:59] - New Record for Team's Most Penalties Minutes (8) in 1 Game for Pittsburgh Penguins!
[19.02.2024 19:10:05] - New Record for Team's Most Penalties Minutes (6) in 1 Game for Pittsburgh Penguins!
[19.02.2024 19:10:05] - New Record for Team's Most Points (17) in 1 Game for Pittsburgh Penguins!
[19.02.2024 19:10:05] - New Record for Team's Most Assists (11) in 1 Game for Pittsburgh Penguins!
[19.02.2024 19:10:05] - New Record for Team's Most Goals (6) in 1 Game for Pittsburgh Penguins!
[17.02.2024 19:09:46] - New Record for Team's Most Hits (29) in 1 Game for Pittsburgh Penguins!
[17.02.2024 19:09:46] - New Record for Team's Most Penalties Minutes (4) in 1 Game for Pittsburgh Penguins!
[17.02.2024 19:09:46] - New Record for Team's Most Shots Blocked (14) in 1 Game for Pittsburgh Penguins!
[15.02.2024 21:01:05] - New Record for Team's Most Hits (22) in 1 Game for Pittsburgh Penguins!
[15.02.2024 21:01:05] - New Record for Team's Most Penalties Minutes (2) in 1 Game for Pittsburgh Penguins!
[15.02.2024 21:01:05] - New Record for Team's Most Shots Blocked (4) in 1 Game for Pittsburgh Penguins!
[15.02.2024 21:01:05] - New Record for Team's Most Shots (39) in 1 Game for Pittsburgh Penguins!
[15.02.2024 21:01:05] - New Record for Team's Most Points (9) in 1 Game for Pittsburgh Penguins!
[15.02.2024 21:01:05] - New Record for Team's Most Assists (6) in 1 Game for Pittsburgh Penguins!
[15.02.2024 21:01:05] - New Record for Team's Most Goals (3) in 1 Game for Pittsburgh Penguins!
[08.02.2024 19:31:22] - General Manager Change : Pittsburgh Penguins hired general manager Jannik
[08.02.2024 19:31:22] - General Manager Change : Pittsburgh Penguins fired general manager Mattia
[01.02.2024 19:18:17] - Emil Pieniniemi was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Owen Pickering was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Isaac Belliveau was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Dillon Hamaliuk was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Maxim Cajkovic was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Alex Nedeljkovic was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Magnus Hellberg was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Tristan Jarry was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Joel Blomqvist was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Matt Filipe was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Mark Pysyk was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Taylor Gauthier was added to Pittsburgh Penguins.
[01.02.2024 19:18:17] - Radim Zohorna was added to Pittsburgh Penguins.

[13.03.2024 19:06:28] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[12.03.2024 19:24:32] Wilkes-Barre/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[11.03.2024 19:20:48] Both Pittsburgh Penguins and Wilkes-Barre/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[08.03.2024 20:18:51] Wilkes-Barre/Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[07.03.2024 19:59:58] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased. But, Wilkes-Barre/Scranton Penguins lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[07.03.2024 19:59:58] New Record for Team's Most Shots (52) in 1 Game for Pittsburgh Penguins!
[05.03.2024 19:46:19] New Record for Team's Most Penalties Minutes (14) in 1 Game for Pittsburgh Penguins!
[01.03.2024 19:03:34] New Record for Team's Most Points (18) in 1 Game for Pittsburgh Penguins!
[01.03.2024 19:03:34] New Record for Team's Most Assists (12) in 1 Game for Pittsburgh Penguins!
[27.02.2024 19:13:39] New Record for Team's Most Hits (31) in 1 Game for Pittsburgh Penguins!
[27.02.2024 19:13:39] New Record for Team's Most Penalties Minutes (10) in 1 Game for Pittsburgh Penguins!
[27.02.2024 19:13:39] New Record for Team's Most Shots Blocked (19) in 1 Game for Pittsburgh Penguins!
[24.02.2024 19:05:25] New Record for Team's Most Shots (46) in 1 Game for Pittsburgh Penguins!
[23.02.2024 15:43:59] New Record for Team's Most Penalties Minutes (8) in 1 Game for Pittsburgh Penguins!
[19.02.2024 19:10:05] New Record for Team's Most Penalties Minutes (6) in 1 Game for Pittsburgh Penguins!
[19.02.2024 19:10:05] New Record for Team's Most Points (17) in 1 Game for Pittsburgh Penguins!
[19.02.2024 19:10:05] New Record for Team's Most Assists (11) in 1 Game for Pittsburgh Penguins!
[19.02.2024 19:10:05] New Record for Team's Most Goals (6) in 1 Game for Pittsburgh Penguins!
[19.02.2024 19:00:26] Successfully loaded Pittsburgh Penguins lines done with Web Base Client and SQLite Database from IP:46.140.164.90 .
[19.02.2024 19:00:25] Marcus Pettersson of Pittsburgh Penguins was sent to pro.
[19.02.2024 19:00:25] Brian Boyle of Pittsburgh Penguins was sent to pro.

Pas de blessure ou de suspension.

Pittsburgh Penguins Leaders statistiques des joueurs (saison régulière)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Pittsburgh Penguins Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Pittsburgh Penguins Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Pittsburgh Penguins Leaders statistiques des joueurs (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Pittsburgh Penguins Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Pittsburgh Penguins
	GP: 14 \| W: 5 \| L: 8 \| OTL: 1 \| P: 11 GF: 49 \| GA: 57 \| PP%: 32.61% \| PK%: 70.73% DG: Jannik \| Morale : 35 \| Moyenne d’équipe : 73