Profi League - Penguins

Penguins
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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
1	Patrick Marleau (C)	X	X			100.00	66	44	99	89	75	92	99	90	86	49	52	68	61	98	99	0	74	75	0
2	Artemi Panarin (R)		X	X		100.00	63	41	83	93	75	89	83	88	63	57	55	60	90	71	71	0	75	72	0
3	Alexander Steen	X	X			100.00	64	43	79	84	81	95	82	78	73	56	51	72	80	78	80	0	77	72	0
4	Troy Brouwer			X		100.00	81	78	79	75	85	86	98	70	65	47	49	71	60	75	79	0	74	71	0
5	Ryan Nugent-Hopkins	X				100.00	65	42	86	88	76	90	77	81	87	51	48	67	61	66	66	0	75	69	0
6	Kevin Hayes	X	X	X		100.00	65	44	84	82	92	78	89	69	64	48	47	61	50	60	61	0	75	67	0
7	Vernon Fiddler	X	X			100.00	63	52	84	75	70	74	95	66	90	43	45	74	61	82	86	0	75	67	0
8	J.T. Miller	X	X	X		100.00	78	59	81	83	73	84	89	68	61	46	50	60	63	62	64	0	75	67	0
9	Mark Letestu	X		X		100.00	66	43	97	77	64	83	80	69	96	44	44	75	68	69	70	0	75	67	0
10	Craig Smith			X		100.00	68	44	82	81	69	82	96	74	57	45	50	67	60	67	68	0	76	67	0
11	Casey Cizikas	X				100.00	77	55	85	77	68	76	86	66	87	46	43	76	99	65	66	0	74	67	0
12	Eric Fehr	X	X	X		100.00	68	55	86	74	88	77	76	66	65	41	45	75	63	72	74	0	59	67	0
13	Travis Hamonic				X	100.00	82	56	83	85	81	93	88	74	25	47	41	80	50	76	69	0	75	72	0
14	Andrej Sekera				X	100.00	70	43	89	86	69	88	93	78	25	48	41	77	50	82	86	0	65	71	0
15	Ron Hainsey				X	100.00	74	54	83	74	76	89	97	69	25	43	40	81	50	81	92	0	52	70	0
16	Shayne Gostisbehere (R)				X	100.00	67	40	85	90	72	82	70	88	25	51	49	73	50	70	65	0	76	70	0
17	Kevin Bieksa				X	100.00	81	89	66	84	79	84	83	73	25	43	40	77	50	76	80	0	75	70	0
18	David Schlemko				X	100.00	70	42	87	74	67	78	76	76	25	44	42	76	90	75	67	0	75	66	0
Rayé
1	Barret Jackman				X	100.00	76	92	71	73	70	66	93	69	25	40	38	75	50	89	91	0	46	67	0

	MOYENNE D'ÉQUIPE					100.00	71	53	84	81	75	83	87	74	56	47	46	72	63	74	75	0	71	69

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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
1	Ryan Miller	100.00	74	90	85	87	75	76	74	75	79	74	70	90	89	0	75	78	0
2	Michal Neuvirth	100.00	80	81	86	89	85	78	78	79	75	65	65	78	73	0	76	77	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	77	86	86	88	80	77	76	77	77	70	68	84	81	0	76	78

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Yeo	96	83	79	88	75	77	84	CAN	43	5	1,000,000$

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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	SHT	OSB	OSM	SHT%	SB	MP	PKG	PKA	PKM	GT	FO%	FOT	GA	TA	EG	HT	P/20
1	Patrick Marleau	Penguins		C/LW	4	1	3	4	2	0	0	5	16	9	9	6.25%	5	19.:.38	0	0	0	0	38.71%	62	12	2	0	0	1.02
2	Artemi Panarin	Penguins		LW/RW	4	1	1	2	-1	2	0	8	11	4	6	9.09%	0	20.:.58	0	0	1	0	75.00%	4	17	1	0	0	0.48
3	Shayne Gostisbehere	Penguins		D	4	1	1	2	0	2	0	7	12	11	10	8.33%	3	23.:.58	0	0	1	0	0.00%	0	1	3	0	0	0.42
4	Travis Hamonic	Penguins		D	4	0	1	1	-2	2	0	12	8	4	6	0.00%	9	25.:.24	0	0	7	0	0.00%	0	1	11	0	0	0.20
5	Andrej Sekera	Penguins		D	4	1	0	1	-2	2	0	4	8	3	5	12.50%	4	24.:.31	0	0	6	0	0.00%	0	1	6	0	0	0.20
6	Troy Brouwer	Penguins		RW	4	0	1	1	-2	0	0	7	6	2	1	0.00%	2	15.:.36	0	0	3	0	75.00%	4	4	3	0	0	0.32
7	Alexander Steen	Penguins		C/LW	4	1	0	1	2	0	0	3	8	4	8	12.50%	1	19.:.34	0	0	0	0	50.00%	4	4	0	0	0	0.26
8	Ron Hainsey	Penguins		D	4	0	0	0	0	0	0	3	8	1	2	0.00%	5	21.:.07	0	0	7	0	0.00%	0	0	8	0	0	0.00
9	Kevin Hayes	Penguins		C/LW/RW	4	0	0	0	-2	2	0	3	10	4	9	0.00%	0	12.:.21	0	0	0	0	66.67%	3	7	2	0	0	0.00
10	Vernon Fiddler	Penguins		C/LW	4	0	0	0	0	0	0	4	3	2	6	0.00%	0	10.:.08	0	0	2	0	0.00%	1	1	0	0	0	0.00
11	J.T. Miller	Penguins		C/LW/RW	4	0	0	0	-5	2	0	9	2	3	4	0.00%	1	18.:.40	0	0	0	0	0.00%	2	1	0	0	0	0.00
12	David Schlemko	Penguins		D	4	0	0	0	-3	0	0	4	0	2	1	0.00%	9	16.:.47	0	0	0	0	0.00%	0	0	6	0	0	0.00
13	Mark Letestu	Penguins		C/RW	4	0	0	0	0	0	0	1	4	0	3	0.00%	1	13.:.24	0	0	10	0	46.34%	41	3	1	0	0	0.00
14	Ryan Nugent-Hopkins	Penguins		C	4	0	0	0	-5	2	0	4	10	1	8	0.00%	1	18.:.40	0	0	0	0	51.92%	52	12	1	0	0	0.00
15	Craig Smith	Penguins		RW	4	0	0	0	-2	0	0	7	10	5	7	0.00%	1	15.:.47	0	0	0	0	0.00%	1	11	1	0	0	0.00
16	Casey Cizikas	Penguins		C	4	0	0	0	-2	0	0	5	6	2	2	0.00%	1	11.:.33	0	0	3	0	33.33%	21	1	1	0	0	0.00
17	Kevin Bieksa	Penguins		D	4	0	0	0	-3	2	0	7	5	1	3	0.00%	4	16.:.30	0	0	7	0	0.00%	0	0	1	0	0	0.00
18	Eric Fehr	Penguins		C/LW/RW	4	0	0	0	0	2	0	3	1	3	3	0.00%	1	11.:.31	0	0	9	0	33.33%	3	5	2	0	0	0.00
Stats d'équipe Total ou en Moyenne			72	5	7	12	-25	18	0	96	89	128	61	93	3.91%	48	1264	17.57	21	119	0	4	60	0	0	44.44%	198	81	49	0.19	0	0	0	0	0	0	0	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	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	EG	PS %	PSA	ST	BG	S2	S3
1	Michal Neuvirth	Penguins	2	0	1	1	91.7%	3.11	135	0	7	84	45	0	0.0%	0	2	2	0	1
2	Ryan Miller	Penguins	2	0	1	1	89.7%	3.00	120	0	6	58	35	0	0.0%	0	2	2	0	0
Stats d'équipe Total ou en Moyenne		4	0	2	2	0.908	3.05	256	0	13	142	80	0	0.000	0	4	4	0	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Alexander Steen	Penguins	C/LW	33	1.3.1984	No	212 Lbs	5 ft11	No	No	3	Sans Restriction	Pro & Farm	5,800,000$	5,800,000$	5,800,000$			Lien
Andrej Sekera	Penguins	D	30	8.6.1986	No	201 Lbs	6 ft0	No	No	5	Sans Restriction	Pro & Farm	2,400,000$	4,000,000$	4,000,000$	4,000,000$	4,000,000$	Lien
Artemi Panarin	Penguins	LW/RW	25	30.10.1991 1:22:13	Yes	170 Lbs	5 ft11	Yes	No	4	Avec Restriction	Pro & Farm	2,800,000$	6,300,000$	6,300,000$	6,300,000$		Lien
Barret Jackman	Penguins	D	36	5.3.1981	No	203 Lbs	6 ft0	No	No	3	Sans Restriction	Pro & Farm	2,400,000$	2,400,000$	2,400,000$			Lien
Casey Cizikas (Contrat à 1 Volet)	Penguins	C	26	27.2.1991 6:56:46	No	201 Lbs	5 ft11	No	No	3	Avec Restriction	Pro Only	1,000,000$	1,600,000$	1,600,000$			Lien
Craig Smith	Penguins	RW	27	5.9.1989 14:19:30	No	202 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	2,600,000$	2,600,000$				Lien
David Schlemko	Penguins	D	30	7.5.1987	No	190 Lbs	5 ft11	No	No	2	Sans Restriction	Pro Only	1,400,000$	1,400,000$				Lien
Eric Fehr	Penguins	C/LW/RW	31	7.9.1985	No	212 Lbs	6 ft4	No	No	1	Sans Restriction	Pro Only	1,600,000$					Lien
J.T. Miller	Penguins	C/LW/RW	24	14.3.1993 3:52:37	No	205 Lbs	6 ft1	No	No	3	Avec Restriction	Pro & Farm	3,300,000$	3,300,000$	3,300,000$			Lien
Kevin Bieksa	Penguins	D	35	16.6.1981	No	198 Lbs	6 ft1	No	No	3	Sans Restriction	Pro & Farm	3,000,000$	3,000,000$	3,000,000$			Lien
Kevin Hayes	Penguins	C/LW/RW	25	8.5.1992 1:40:10	No	225 Lbs	6 ft5	No	No	1	Avec Restriction	Pro Only	1,500,000$					Lien
Mark Letestu	Penguins	C/RW	32	4.2.1985	No	197 Lbs	5 ft10	No	No	1	Sans Restriction	Pro & Farm	1,800,000$					Lien
Michal Neuvirth	Penguins	G	29	23.3.1988	No	209 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	3,000,000$	3,000,000$				Lien
Patrick Marleau	Penguins	C/LW	37	15.9.1979	No	220 Lbs	6 ft2	No	No	3	Sans Restriction	Pro & Farm	5,600,000$	5,600,000$	5,600,000$			Lien
Ron Hainsey	Penguins	D	36	24.3.1981	No	210 Lbs	6 ft3	No	No	3	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	2,500,000$			Lien
Ryan Miller	Penguins	G	36	17.7.1980	No	168 Lbs	6 ft2	No	No	2	Sans Restriction	Pro & Farm	5,300,000$	5,300,000$				Lien
Ryan Nugent-Hopkins	Penguins	C	24	12.4.1993 14:44:38	No	190 Lbs	6 ft0	Yes	No	2	Avec Restriction	Pro & Farm	6,800,000$	4,800,000$				Lien
Shayne Gostisbehere	Penguins	D	24	20.4.1993 23:48:02	Yes	160 Lbs	5 ft11	No	No	2	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$				Lien
Travis Hamonic	Penguins	D	26	16.8.1990	No	217 Lbs	6 ft2	No	No	4	Avec Restriction	Pro & Farm	2,800,000$	3,500,000$	3,500,000$	3,500,000$		Lien
Troy Brouwer	Penguins	RW	31	17.8.1985	No	213 Lbs	6 ft3	No	No	4	Sans Restriction	Pro & Farm	2,700,000$	2,700,000$	2,700,000$	2,700,000$		Lien
Vernon Fiddler	Penguins	C/LW	37	9.5.1980	No	205 Lbs	5 ft11	No	No	2	Sans Restriction	Pro & Farm	1,800,000$	1,800,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	30.19	200 Lbs	6 ft1	2.62	2,957,143$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alexander Steen	Patrick Marleau	Artemi Panarin	43	0	2	3
2	J.T. Miller	Ryan Nugent-Hopkins	Troy Brouwer	35	0	2	3
3	Kevin Hayes	Mark Letestu	Craig Smith	16	0	3	2
4	Vernon Fiddler	Casey Cizikas	Eric Fehr	6	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrej Sekera	Travis Hamonic	46	0	3	2
2	Shayne Gostisbehere	Ron Hainsey	34	0	3	2
3	David Schlemko	Kevin Bieksa	20	1	4	0
4	Travis Hamonic	Andrej Sekera	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alexander Steen	Patrick Marleau	Artemi Panarin	60	0	0	5
2	J.T. Miller	Ryan Nugent-Hopkins	Craig Smith	40	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Shayne Gostisbehere	Andrej Sekera	60	1	0	4
2	Travis Hamonic	David Schlemko	40	1	0	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mark Letestu	Eric Fehr	60	1	4	0
2	Casey Cizikas	Vernon Fiddler	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Hamonic	Ron Hainsey	60	1	4	0
2	Andrej Sekera	Kevin Bieksa	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Patrick Marleau	60	0	5	0	Travis Hamonic	Ron Hainsey	60	1	4	0
2	Alexander Steen	40	1	4	0	Andrej Sekera	Kevin Bieksa	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Alexander Steen	Artemi Panarin	60	1	2	2
2	Ryan Nugent-Hopkins	Patrick Marleau	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Hamonic	Shayne Gostisbehere	60	1	2	2
2	Ron Hainsey	Andrej Sekera	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alexander Steen	Ryan Nugent-Hopkins	Artemi Panarin	Andrej Sekera	Shayne Gostisbehere

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alexander Steen	Patrick Marleau	Mark Letestu	Travis Hamonic	Ron Hainsey

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
J.T. Miller, Mark Letestu, Craig Smith	J.T. Miller, Craig Smith	Troy Brouwer

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Shayne Gostisbehere, Travis Hamonic, Andrej Sekera	Travis Hamonic	Andrej Sekera, Kevin Bieksa

Tirs de Pénalité
Artemi Panarin, Alexander Steen, J.T. Miller, Mark Letestu, Patrick Marleau

Gardien
#1 : Michal Neuvirth, #2 : Ryan Miller

Lignes d'Attaque Perso. en Prol.
Alexander Steen, Patrick Marleau, Artemi Panarin, Mark Letestu, J.T. Miller, Craig Smith, Craig Smith, Ryan Nugent-Hopkins, Casey Cizikas, Troy Brouwer, Eric Fehr

Lignes de Défense Perso. en Prol.
Travis Hamonic, Andrej Sekera, Kevin Bieksa, Ron Hainsey, Shayne Gostisbehere

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

#	VS Équipe	GP	L	GF	GA	Diff	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PP%	PKA	PK GA	PK%	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	Senators	4	4	5	13	-8	5	7	12	1	2	2	128	40	38	44	6	142	48	18	96	12	0.00%	9	3	66.67%	36	78	46.15%	37	79	46.84%	15	41	36.59%	96	62	99	31	60	30
	Vs Division	4	4	5	13	-8	5	7	12	1	2	2	128	40	38	44	6	142	48	18	96	12	0.00%	9	3	66.67%	36	78	46.15%	37	79	46.84%	15	41	36.59%	96	62	99	31	60	30
	Vs Conference	4	4	5	13	-8	5	7	12	1	2	2	128	40	38	44	6	142	48	18	96	12	0.00%	9	3	66.67%	36	78	46.15%	37	79	46.84%	15	41	36.59%	96	62	99	31	60	30
	Since Last GM Reset	4	4	5	13	-8	5	7	12	1	2	2	128	40	38	44	6	142	48	18	96	12	0.00%	9	3	66.67%	36	78	46.15%	37	79	46.84%	15	41	36.59%	96	62	99	31	60	30
	Total	4	4	5	13	-8	5	7	12	1	2	2	128	40	38	44	6	142	48	18	96	12	0.00%	9	3	66.67%	36	78	46.15%	37	79	46.84%	15	41	36.59%	96	62	99	31	60	30

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
4	0	OTL2	5	7	12	128	142	48	18	96	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	5	13

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	5

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	8

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	2	0	2	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
12	0	0.00%	9	3	66.67%	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
40	38	44	6	1	2	2	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
36	78	46.15%	37	79	46.84%	15	41	36.59%

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
96	62	99	31	60	30

Derniers Match Joués

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

Date		Result	Detail
Sun, Apr 20	@	Penguins1,Senators5	RECAP
Tue, Apr 22	@	Penguins1,Senators3	RECAP
Thu, Apr 24	@	Senators3,Penguins2 (OT)	RECAP
Sat, Apr 26	@	Senators2,Penguins1 (OT)	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6874	3618	4524	1803	1268
Prix des Billets	103	55	38	24	200
Assistance	12764	7020	8562	3175	2184
Attendance PCT	92.84%	97.01%	94.63%	88.05%	86.12%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
39	16853 - 93.17%	1,883,158$	3,766,315$	18087	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
62,100,000$	4,000,000$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
0$	0$	0$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	5,530,053$	5,530,053$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Patrick Marleau	AGE:37	PO:0	OV:75
*Artemi Panarin	AGE:25	PO:0	OV:72
Alexander Steen	AGE:33	PO:0	OV:72
Kevin Hayes	AGE:25	PO:0	OV:67
Vernon Fiddler	AGE:37	PO:0	OV:67
J.T. Miller	AGE:24	PO:0	OV:67
Eric Fehr	AGE:31	PO:0	OV:67
*Roman Lyubimov	AGE:25	PO:0	OV:60
*Nikita Soshnikov	AGE:23	PO:0	OV:60
Richard Panik	AGE:25	PO:0	OV:59
*Alexander Khokhlachev	AGE:23	PO:0	OV:58
Jayson Megna	AGE:27	PO:0	OV:57
*Drake Caggiula	AGE:22	PO:0	OV:56
Tanner Kero	AGE:24	PO:0	OV:56
*Josh Anderson	AGE:26	PO:0	OV:56
Marek Hrivik	AGE:25	PO:0	OV:56
Quinton Howden	AGE:25	PO:0	OV:56
Nick Paul	AGE:22	PO:0	OV:55
*Tyler Motte	AGE:22	PO:0	OV:54
*Taylor Leier	AGE:23	PO:0	OV:54
*Adam Erne	AGE:22	PO:0	OV:53

Patrick Marleau	AGE:37	PO:0	OV:75
Alexander Steen	AGE:33	PO:0	OV:72
Ryan Nugent-Hopkins	AGE:24	PO:0	OV:69
Kevin Hayes	AGE:25	PO:0	OV:67
Vernon Fiddler	AGE:37	PO:0	OV:67
J.T. Miller	AGE:24	PO:0	OV:67
Mark Letestu	AGE:32	PO:0	OV:67
Casey Cizikas	AGE:26	PO:0	OV:67
Eric Fehr	AGE:31	PO:0	OV:67
*Roman Lyubimov	AGE:25	PO:0	OV:60
*Alexander Khokhlachev	AGE:23	PO:0	OV:58
*Mitchell Marner	AGE:20	PO:0	OV:57
Jayson Megna	AGE:27	PO:0	OV:57
*Drake Caggiula	AGE:22	PO:0	OV:56
Tanner Kero	AGE:24	PO:0	OV:56
Nick Paul	AGE:22	PO:0	OV:55
Carter Rowney	AGE:28	PO:0	OV:55
Colin Smith	AGE:23	PO:0	OV:54
*Tyler Motte	AGE:22	PO:0	OV:54

*Artemi Panarin	AGE:25	PO:0	OV:72
Troy Brouwer	AGE:31	PO:0	OV:71
Kevin Hayes	AGE:25	PO:0	OV:67
J.T. Miller	AGE:24	PO:0	OV:67
Mark Letestu	AGE:32	PO:0	OV:67
Craig Smith	AGE:27	PO:0	OV:67
Eric Fehr	AGE:31	PO:0	OV:67
*Nikita Soshnikov	AGE:23	PO:0	OV:60
Justin Fontaine	AGE:29	PO:0	OV:59
Richard Panik	AGE:25	PO:0	OV:59
*Mitchell Marner	AGE:20	PO:0	OV:57
Jayson Megna	AGE:27	PO:0	OV:57
*Josh Anderson	AGE:26	PO:0	OV:56
Quinton Howden	AGE:25	PO:0	OV:56
Carter Rowney	AGE:28	PO:0	OV:55
Colin Smith	AGE:23	PO:0	OV:54
*Adam Erne	AGE:22	PO:0	OV:53

Défense #1

Défense #2

Gardien

Travis Hamonic	AGE:26	PO:0	OV:72
Andrej Sekera	AGE:30	PO:0	OV:71
Ron Hainsey	AGE:36	PO:0	OV:70
*Shayne Gostisbehere	AGE:24	PO:0	OV:70
Kevin Bieksa	AGE:35	PO:0	OV:70
Barret Jackman	AGE:36	PO:0	OV:67
David Schlemko	AGE:30	PO:0	OV:66
Jordan Oesterle	AGE:24	PO:0	OV:64

Robert Bortuzzo	AGE:28	PO:0	OV:64
Viktor Svedberg	AGE:26	PO:0	OV:63
*Nikita Zaitsev	AGE:25	PO:0	OV:61
Alex Grant	AGE:27	PO:0	OV:60
Mike Reilly	AGE:23	PO:0	OV:58
*Nick Ebert	AGE:23	PO:0	OV:52
*Daniel Walcott	AGE:23	PO:0	OV:49
*Devon Toews	AGE:23	PO:0	OV:45

Ryan Miller	AGE:36	PO:0	OV:78
Michal Neuvirth	AGE:29	PO:0	OV:77
Jeremy Smith	AGE:28	PO:0	OV:70
*Zachary Fucale	AGE:21	PO:0	OV:64
*Nick Ellis	AGE:23	PO:0	OV:60

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Alex Nedeljkovic	Penguins
Alexander Delnov	Penguins
Alexander Pechurski	Penguins
Alexander Urbom	Penguins
Alexandre Fortin	Penguins	2016	177
Andrei Loktionov	Penguins
Artur Lauta	Penguins	2016	252
C.J. Motte	Penguins	2015	189
Christian Jaros	Penguins	2015	142
Damien Riat	Penguins	2016	118
Eric Hartzell	Penguins
Ethan Prow	Penguins	2016	108
Fredrik Forsberg	Penguins	2015	188
Igor Shvyryov	Penguins	2016	220
Kole Sherwood	Penguins	2015	168
Kyle Cumiskey	Penguins
Loik Leveille	Penguins	2015	144
Lucas Carlsson	Penguins	2016	89
Lukas Bengtsson	Penguins	2014	163
Luke Green	Penguins	2016	75
Nathan Bastian	Penguins	2016	68
Nicholas Boka	Penguins	2015	172
Nick Betz	Penguins	2014	212
Nick Pastujov	Penguins	2016	121
Nicolas Aube-Kubel	Penguins	2014	42
Otso Rantakari	Penguins	2014	193
Raphael Bussieres	Penguins
Rodrigo Abols	Penguins	2015	187
Ryan Walters	Penguins
Simon Stransky	Penguins	2016	136
Tyler Cuma	Penguins
Vincent Dunn	Penguins	2015	146
William Knierim	Penguins	2016	251

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017		DAL			PIT BUF		STL PIT
2018	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2019	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2020	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2021	PIT	PIT	PIT	PIT	PIT	PIT	PIT

[15.10.2016 22:21:33] - Pascal Dupuis was added to Penguins.
[15.10.2016 22:21:34] - TRADE : From Penguins to Blackhawks : Austin Carroll (51), Y:2017-RND:2-PIT.
[15.10.2016 22:21:34] - TRADE : From Blackhawks to Penguins : Pascal Dupuis (67), Nikita Zaitsev (P), 2 000 000 Kč (Money).
[15.10.2016 22:32:32] - Carter Rowney was added to Penguins.
[15.10.2016 22:32:32] - Carter Rowney signed with Penguins for 800 000 Kč for 2 year(s) with 0 Kč in bonus.
[20.10.2016 5:28:29] - William Knierim has been added to Penguins.
[20.10.2016 5:28:37] - Artur Lauta has been added to Penguins.
[21.10.2016 4:40:40] - TRADE : From Penguins to Avalanche : Conor Allen (54).
[30.11.2016 20:51:18] - Nikita Zaitsev was added to Penguins.
[30.11.2016 20:53:52] - Drake Caggiula was added to Penguins.
[30.11.2016 20:56:10] - Roman Lyubimov was added to Penguins.
[30.11.2016 20:57:51] - Nick Ellis was added to Penguins.
[3.12.2016 21:05:54] - TRADE : From Penguins to Canadiens : Troy Grosenick (62).
[23.12.2016 20:43:03] - Mitchell Marner was added to Penguins.
[23.12.2016 20:43:04] - TRADE : From Islanders to Penguins : Mitchell Marner (57).
[23.12.2016 20:43:04] - TRADE : From Penguins to Islanders : Conor Sheary (55), Jamie Oleksiak (65), German Rubtsov (P), Caleb Jones (P), Y:2017-RND:1-PIT.
[2.1.2017 20:45:14] - Patrick Marleau is no longer captain for Penguins.
[2.1.2017 20:45:14] - Alex Ovechkin has been selected as captain for Penguins.
[2.1.2017 20:45:14] - Unknown Player is no longer as assistant for Penguins.
[2.1.2017 20:45:14] - Patrick Marleau has been selected as assistant for Penguins.
[2.1.2017 20:45:14] - Unknown Player is no longer as assistant for Penguins.
[2.1.2017 20:45:14] - Andrej Sekera has been selected as assistant for Penguins.
[4.1.2017 21:22:40] - Troy Brouwer was added to Penguins.
[4.1.2017 21:22:42] - TRADE : From Lightning to Penguins : Troy Brouwer (71).
[4.1.2017 21:22:42] - TRADE : From Penguins to Lightning : Pascal Dupuis (67), Dillon Dube (P).
[10.1.2017 20:39:29] - Alex Ovechkin is no longer captain for Penguins.
[10.1.2017 20:39:29] - Patrick Marleau has been selected as captain for Penguins.
[10.1.2017 20:39:29] - Patrick Marleau is no longer as assistant for Penguins.
[10.1.2017 20:39:29] - Alex Ovechkin has been selected as assistant for Penguins.
[10.1.2017 20:39:29] - Andrej Sekera is no longer as assistant for Penguins.
[10.1.2017 20:39:29] - Antoine Vermette has been selected as assistant for Penguins.
[17.1.2017 21:32:35] - Penguins fired Dan Bylsma.
[17.1.2017 21:32:36] - Penguins hired Mike Yeo for 1 000 000 Kč for 5 year(s).
[9.2.2017 20:48:55] - Eric Fehr was added to Penguins.
[9.2.2017 20:48:57] - TRADE : From Penguins to Devils : Jimmy Hayes (67).
[9.2.2017 20:48:57] - TRADE : From Devils to Penguins : Eric Fehr (67).
[9.2.2017 20:51:17] - J.T. Miller was added to Penguins.
[9.2.2017 20:51:17] - Alexander Steen was added to Penguins.
[9.2.2017 20:51:17] - Josh Anderson was added to Penguins.
[9.2.2017 20:51:19] - TRADE : From Penguins to Sharks : Alex Ovechkin (79), Antoine Vermette (69).
[9.2.2017 20:51:19] - TRADE : From Sharks to Penguins : J.T. Miller (67), Alexander Steen (72), Josh Anderson (56).
[20.2.2017 21:10:21] - Devon Toews was added to Penguins.
[26.2.2017 22:43:54] - Ron Hainsey was added to Penguins.
[26.2.2017 22:43:55] - TRADE : From Penguins to Rangers : Braydon Coburn (69), Connor Hall (P), Daniel Audette (P), Y:2017-RND:4-PIT.
[26.2.2017 22:43:55] - TRADE : From Rangers to Penguins : Ron Hainsey (70).
[26.2.2017 22:44:11] - Barret Jackman was added to Penguins.
[26.2.2017 22:44:13] - TRADE : From Islanders to Penguins : Barret Jackman (67).
[7.4.2017 20:33:42] - Penguins was eliminated at round 1 of year 2016.
[28.4.2017 21:21:32] - Penguins was eliminated at round 2 of year 2016.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											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