German Fantasy Hockey League - Pittsburgh Penguins

Salt Lake City Lynx
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Client Web pour Formation
Client Web pour Lignes

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
1	Brad Marchand	0		X			100.00	65	51	74	88	64	84	91	86	44	97	93	71	53	74	78	0	60	78	1
2	Bo Horvat	0	X				100.00	65	42	94	87	74	81	90	82	95	77	85	76	63	66	67	0	44	75	0
3	Tyler Toffoli	0			X		100.00	73	43	93	84	72	73	90	74	36	73	80	59	25	68	71	0	48	70	0
4	Ryan Spooner	0	X	X	X		100.00	76	43	97	84	66	70	86	75	53	83	73	55	53	65	65	0	45	69	0
5	Chris Kunitz	0		X			100.00	81	54	87	71	72	62	94	59	35	65	70	70	66	85	93	0	56	67	2
6	Brian Gibbons	0	X	X	X		100.00	67	41	89	70	60	68	82	60	40	69	72	92	25	58	59	0	58	67	0
7	Kevin Labanc	0		X	X		100.00	63	41	87	78	63	68	94	78	34	79	66	58	80	59	59	0	55	67	0
8	Nolan Patrick (R)	0	X				100.00	69	43	87	80	73	67	74	73	84	68	71	60	45	57	57	0	55	66	0
9	Brian Gionta	0			X		100.00	73	42	96	73	60	65	69	75	41	70	59	64	63	86	92	0	48	66	0
10	Nick Shore	0	X				100.00	73	43	91	79	69	67	84	63	81	67	58	81	25	64	65	0	55	66	0
11	Jaromir Jagr	0			X		100.00	55	42	86	67	85	64	69	71	25	72	57	53	45	99	99	0	55	64	1
12	Jordin Tootoo	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	19	49	0
13	Aaron Ekblad	0				X	100.00	71	66	76	88	82	88	92	77	25	62	61	88	25	66	67	0	52	75	0
14	Cody Ceci	0				X	100.00	85	45	94	84	77	88	98	62	25	53	48	95	25	68	69	0	45	75	0
15	Kevin Shattenkirk	0				X	100.00	75	44	73	88	73	80	80	84	25	69	51	61	61	72	74	0	56	69	1
16	Zach Bogosian	0				X	100.00	77	99	70	75	86	78	58	69	25	46	47	81	75	73	73	0	49	69	1
17	Ian McCoshen	0				X	100.00	84	60	81	77	81	67	71	57	25	43	49	71	25	47	47	0	37	64	0
18	Matt Grzelcyk	0				X	100.00	69	41	88	78	61	71	89	68	25	55	48	61	25	51	51	0	55	63	0
Rayé
1	Kyle Connor	0		X			100.00	59	40	92	86	66	74	92	78	33	77	88	57	25	56	56	0	49	70	0
2	Ville Pokka	0				X	100.00	80	76	88	71	76	80	87	53	25	49	43	64	41	44	44	0	20	62	0

	MOYENNE D'ÉQUIPE					100.00	71	50	85	78	71	72	82	70	41	66	63	68	45	65	67	0	48	68

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
1	Cory Schneider	100.00	72	80	78	79	75	70	60	69	77	72	44	68	69	0	43	70	2
2	Mackenzie Blackwood	100.00	50	63	79	90	45	52	50	55	49	49	30	44	44	0	44	55	0
Rayé
1	Marcus Hogberg	100.00	50	56	70	87	48	52	50	55	51	51	30	44	44	0	50	54	0
2	Daniel Taylor	100.00	51	56	70	72	50	53	50	56	51	51	30	44	44	0	23	53	0

	MOYENNE D'ÉQUIPE	100.00	56	64	74	82	55	57	53	59	57	56	34	50	50	0	40	58

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jay Pandolfo	66	72	68	48	48	47	58	USA	43	2	750,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Aaron Ekblad	Pittsburgh Penguins	D	23	07.02.1996	No	216 Lbs	6 ft4	No	No	No	3	Avec Restriction	Pro & Farm	7,500,000$	7,500,000$	0$	No	Lien
Bo Horvat	Pittsburgh Penguins	C	24	05.04.1995	No	223 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	0$	No	Lien
Brad Marchand	Pittsburgh Penguins	LW	31	11.05.1988	No	181 Lbs	5 ft9	No	No	No	3	Sans Restriction	Pro Only	6,125,000$	6,125,000$	0$	No	Lien
Brian Gibbons	Pittsburgh Penguins	C/LW/RW	31	05.02.1988	No	175 Lbs	5 ft8	No	No	No	2	Sans Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Brian Gionta	Pittsburgh Penguins	RW	40	18.01.1979	No	178 Lbs	5 ft7	No	No	No	2	Sans Restriction	Pro Only	450,000$	450,000$	0$	No	Lien
Chris Kunitz	Pittsburgh Penguins	LW	39	26.09.1979	No	195 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro Only	900,000$	900,000$	0$	No	Lien
Cody Ceci	Pittsburgh Penguins	D	25	21.12.1993	No	207 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	4,800,000$	4,800,000$	0$	No	Lien
Cory Schneider	Pittsburgh Penguins	G	33	18.03.1986	No	205 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro Only	6,500,000$	6,500,000$	0$	No	Lien
Daniel Taylor	Pittsburgh Penguins	G	33	28.04.1986	No	198 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Ian McCoshen	Pittsburgh Penguins	D	23	04.08.1995	No	217 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	925,000$	925,000$	0$	No	Lien
Jaromir Jagr	Pittsburgh Penguins	RW	47	15.02.1972	No	230 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro Only	2,200,000$	2,200,000$	0$	No	Lien
Jordin Tootoo	Pittsburgh Penguins	RW	36	02.02.1983	No	195 Lbs	5 ft9	No	No	No	1	Sans Restriction	Pro & Farm	950,000$	950,000$	0$	No	Lien
Kevin Labanc	Pittsburgh Penguins	LW/RW	23	12.12.1995	No	185 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	500,000$	500,000$	0$	No	Lien
Kevin Shattenkirk	Pittsburgh Penguins	D	30	29.01.1989	No	209 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	6,800,000$	6,800,000$	0$	No	Lien
Kyle Connor	Pittsburgh Penguins	LW	22	09.12.1996	No	182 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No	Lien
Mackenzie Blackwood	Pittsburgh Penguins	G	22	08.12.1996	No	224 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	0$	No	Lien
Marcus Hogberg	Pittsburgh Penguins	G	24	25.11.1994	No	209 Lbs	6 ft5	No	No	No	3	Avec Restriction	Pro & Farm	835,000$	835,000$	0$	No	Lien
Matt Grzelcyk	Pittsburgh Penguins	D	25	05.01.1994	No	174 Lbs	5 ft9	No	No	No	2	Avec Restriction	Pro & Farm	1,600,000$	1,600,000$	0$	No	Lien
Nick Shore	Pittsburgh Penguins	C	26	25.09.1992	No	201 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	500,000$	500,000$	0$	No	Lien
Nolan Patrick	Pittsburgh Penguins	C	20	19.09.1998	Yes	198 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No	Lien
Ryan Spooner	Pittsburgh Penguins	C/LW/RW	27	30.01.1992	No	184 Lbs	5 ft10	No	No	No	3	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	0$	No	Lien
Tyler Toffoli	Pittsburgh Penguins	RW	27	23.04.1992	No	201 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	4,600,000$	4,600,000$	0$	No	Lien
Ville Pokka	Pittsburgh Penguins	D	25	03.06.1994	No	214 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	0$	No	Lien
Zach Bogosian	Pittsburgh Penguins	D	28	15.07.1990	No	228 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro Only	4,400,000$	4,400,000$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	28.50	201 Lbs	6 ft0	1.75	2,707,708$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
64,985,000$	33,485,000$	26,385,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brad Marchand	Bo Horvat	Tyler Toffoli	28	1	2	2
2	Brian Gionta	Ryan Spooner	Jaromir Jagr	27	1	2	2
3	Chris Kunitz	Nolan Patrick	Jordin Tootoo	26	1	2	2
4	Brian Gibbons	Nick Shore	Kevin Labanc	19	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Aaron Ekblad	Cody Ceci	30	1	2	2
2	Kevin Shattenkirk	Zach Bogosian	30	1	2	2
3	Ian McCoshen	Matt Grzelcyk	25	1	2	2
4	Ian McCoshen	Matt Grzelcyk	15	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brad Marchand	Bo Horvat	Jordin Tootoo	60	1	2	2
2	Brad Marchand	Ryan Spooner	Kevin Labanc	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Zach Bogosian	Cody Ceci	60	1	2	2
2	Aaron Ekblad	Zach Bogosian	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brad Marchand	Bo Horvat	60	1	2	2
2	Bo Horvat	Tyler Toffoli	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Ceci	Zach Bogosian	60	1	2	2
2	Cody Ceci	Zach Bogosian	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Brad Marchand	60	1	2	2	Aaron Ekblad	Zach Bogosian	60	1	2	2
2	Bo Horvat	40	1	2	2	Cody Ceci	Zach Bogosian	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brad Marchand	Bo Horvat	60	1	2	2
2	Brad Marchand	Tyler Toffoli	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Zach Bogosian	Cody Ceci	60	1	2	2
2	Aaron Ekblad	Zach Bogosian	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brad Marchand	Bo Horvat	Tyler Toffoli	Aaron Ekblad	Cody Ceci

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brad Marchand	Bo Horvat	Tyler Toffoli	Aaron Ekblad	Cody Ceci

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brad Marchand, Chris Kunitz, Nolan Patrick	Bo Horvat, Chris Kunitz	Nolan Patrick

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Cody Ceci, Matt Grzelcyk, Zach Bogosian	Aaron Ekblad	Matt Grzelcyk, Zach Bogosian

Tirs de Pénalité
Brad Marchand, Bo Horvat, Chris Kunitz, Tyler Toffoli, Ryan Spooner

Gardien
#1 : Cory Schneider, #2 : Mackenzie Blackwood

Lignes d'Attaque Perso. en Prol.
Brad Marchand, Bo Horvat, Tyler Toffoli, Jordin Tootoo, Ryan Spooner, Chris Kunitz, Chris Kunitz, Nolan Patrick, Kevin Labanc, Brian Gibbons, Nick Shore

Lignes de Défense Perso. en Prol.
Aaron Ekblad, Matt Grzelcyk, Kevin Shattenkirk, Zach Bogosian, Cody Ceci

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

	Ligue												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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	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
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

Derniers Match 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	RI	Lien

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6087	5000	2000	4000	1000
Prix des Billets	140	80	50	35	250
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
41	0 - 0.00%	0$	0$	18087	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	64,985,000$	48,830,554$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	24	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$	67,432,860$	67,432,860$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Brad Marchand	AGE:31	PO:0	OV:78
Kyle Connor	AGE:22	PO:0	OV:70
Ryan Spooner	AGE:27	PO:0	OV:69
Chris Kunitz	AGE:39	PO:0	OV:67
Brian Gibbons	AGE:31	PO:0	OV:67
Kevin Labanc	AGE:23	PO:0	OV:67
Joakim Nordstrom	AGE:27	PO:0	OV:63
Nathan Gerbe	AGE:31	PO:0	OV:62
*Yakov Trenin	AGE:22	PO:0	OV:55
Garret Ross	AGE:27	PO:0	OV:53
Rene Bourque	AGE:37	PO:0	OV:49
Kyle Chipchura	AGE:33	PO:0	OV:48
Colton Gillies	AGE:30	PO:0	OV:48
Lucas Lessio	AGE:26	PO:0	OV:48

Bo Horvat	AGE:24	PO:0	OV:75
Ryan Spooner	AGE:27	PO:0	OV:69
Brian Gibbons	AGE:31	PO:0	OV:67
*Nolan Patrick	AGE:20	PO:0	OV:66
Nick Shore	AGE:26	PO:0	OV:66
Wade Megan	AGE:28	PO:0	OV:61
Jordan Schroeder	AGE:28	PO:0	OV:58
Daniel O'Regan	AGE:25	PO:0	OV:58
*Sean Malone	AGE:24	PO:0	OV:57
Cole Cassels	AGE:24	PO:0	OV:56
*Yakov Trenin	AGE:22	PO:0	OV:55
*Christopher Brown	AGE:23	PO:0	OV:48
Kyle Chipchura	AGE:33	PO:0	OV:48
*Peter Quenneville	AGE:25	PO:0	OV:48

Tyler Toffoli	AGE:27	PO:0	OV:70
Ryan Spooner	AGE:27	PO:0	OV:69
Brian Gibbons	AGE:31	PO:0	OV:67
Kevin Labanc	AGE:23	PO:0	OV:67
Brian Gionta	AGE:40	PO:0	OV:66
Jaromir Jagr	AGE:47	PO:0	OV:64
Nathan Gerbe	AGE:31	PO:0	OV:62
Tom Kostopoulos	AGE:40	PO:0	OV:58
Jordan Schroeder	AGE:28	PO:0	OV:58
Daniel O'Regan	AGE:25	PO:0	OV:58
Stephen Gionta	AGE:35	PO:0	OV:52
Jordin Tootoo	AGE:36	PO:0	OV:49
Rene Bourque	AGE:37	PO:0	OV:49
*J.J. Piccinich	AGE:22	PO:0	OV:48
Kyle Chipchura	AGE:33	PO:0	OV:48
*Peter Quenneville	AGE:25	PO:0	OV:48
Aaron Palushaj	AGE:29	PO:0	OV:48
Danny Kristo	AGE:28	PO:0	OV:48

Défense #1

Défense #2

Gardien

Aaron Ekblad	AGE:23	PO:0	OV:75
Cody Ceci	AGE:25	PO:0	OV:75
Kevin Shattenkirk	AGE:30	PO:0	OV:69
Zach Bogosian	AGE:28	PO:0	OV:69
Ian McCoshen	AGE:23	PO:0	OV:64
Matt Grzelcyk	AGE:25	PO:0	OV:63
Ville Pokka	AGE:25	PO:0	OV:62
Dillon Simpson	AGE:26	PO:0	OV:58
*Nick DeSimone	AGE:24	PO:0	OV:57
Reid McNeill	AGE:27	PO:0	OV:57

*Sergey Zborovskiy	AGE:22	PO:0	OV:53
*Miles Gendron	AGE:22	PO:0	OV:48
*Steven Johnson	AGE:24	PO:0	OV:48
Joe Faust	AGE:27	PO:0	OV:48
*Ziyat Paigin	AGE:24	PO:0	OV:48
Matt Gilroy	AGE:34	PO:0	OV:48
Mike Weber	AGE:31	PO:0	OV:48
Alexander Urbom	AGE:28	PO:0	OV:48
Marco Nowak	AGE:28	PO:0	OV:48

Cory Schneider	AGE:33	PO:0	OV:70
Mackenzie Blackwood	AGE:22	PO:0	OV:55
Marcus Hogberg	AGE:24	PO:0	OV:54
Daniel Taylor	AGE:33	PO:0	OV:53
*Chris Nell	AGE:24	PO:0	OV:52
Justin Peters	AGE:32	PO:0	OV:49

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	Information
Alfons Malmstrom	Pittsburgh Penguins	2016	125
Axel Jonsson-Fjallby	Pittsburgh Penguins	2016	155
Benjamin Mirageas	Pittsburgh Penguins	2017	97
Connor Hall	Pittsburgh Penguins	2016	95
Dominik Bokk	Pittsburgh Penguins	2018	19
Gavin Hain	Pittsburgh Penguins	2018	187
German Rubtsov	Pittsburgh Penguins	2016	35
Jack Badini	Pittsburgh Penguins	2017	99
Jason Robertson	Pittsburgh Penguins	2017	35
Joshua Norris	Pittsburgh Penguins	2017	25
Malte Setkov	Pittsburgh Penguins	2017	128
Olli Juolevi	Pittsburgh Penguins	2016	5
Ryan Lindgren	Pittsburgh Penguins	2016	65
Zack Andrusiak	Pittsburgh Penguins	2018		undrafted UFA 450.000

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2019	PIT CAR	PIT		PIT	PIT
2020	PIT	PIT	PIT	PIT	PIT	ARI PIT	PIT ARI
2021	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2022	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2023	PIT	PIT	PIT	PIT	PIT	PIT	PIT

[08.04.2019 23:05:15] - Pittsburgh Penguins didn't make playoff for year 2018.
[08.04.2019 23:05:15] - Salt Lake City Lynx didn't make playoff for year 2018.
[04.02.2019 21:36:58] - TRADE : From Carolina Hurricanes to Pittsburgh Penguins : Daniel Taylor (53), Yakov Trenin (55), Zack Andrusiak (P).
[04.02.2019 21:36:58] - TRADE : From Pittsburgh Penguins to Carolina Hurricanes : Jimmy Howard (74).
[22.01.2019 22:07:58] - TRADE : From New York Rangers to Pittsburgh Penguins : Jordin Tootoo (48).
[22.01.2019 22:07:58] - TRADE : From Pittsburgh Penguins to New York Rangers : Y:2019-RND:7-PIT.
[20.01.2019 23:30:01] - TRADE : From Pittsburgh Penguins to Buffalo Sabres : Skyler Brind'Amour (P).
[20.01.2019 23:30:01] - TRADE : From Buffalo Sabres to Pittsburgh Penguins : Gavin Hain (P).
[25.11.2018 22:30:30] - TRADE : From San Jose Sharks to Pittsburgh Penguins : 20.000 € (Money).
[25.11.2018 22:30:30] - TRADE : From Pittsburgh Penguins to San Jose Sharks : Mark Stuart (49).
[22.10.2018 20:12:14] - Lucas Lessio signed with Pittsburgh Penguins for 450.000 € for 1 year(s) / Signing Bonus of 175.000 €.
[22.10.2018 20:12:14] - Lucas Lessio was added to Pittsburgh Penguins.
[02.10.2018 18:37:06] - TRADE : From Pittsburgh Penguins to New Jersey Devils : Charlie Coyle (72).
[02.10.2018 18:37:06] - TRADE : From New Jersey Devils to Pittsburgh Penguins : Tyler Toffoli (70).
[23.09.2018 10:06:02] - Brian Gionta signed with Pittsburgh Penguins for 450.000 € for 2 year(s) with 0 € in bonus.
[23.09.2018 10:06:02] - Brian Gionta was added to Pittsburgh Penguins.
[23.09.2018 10:05:39] - Tom Kostopoulos signed with Pittsburgh Penguins for 450.000 € for 1 year(s) with 0 € in bonus.
[23.09.2018 10:05:39] - Tom Kostopoulos was added to Pittsburgh Penguins.
[22.09.2018 12:01:11] - Chris Kunitz signed with Pittsburgh Penguins for 900.000 € for 1 year(s) with 0 € in bonus.
[22.09.2018 12:01:11] - Chris Kunitz was added to Pittsburgh Penguins.
[22.09.2018 11:57:51] - Pittsburgh Penguins hired Jay Pandolfo for 750.000 € for 2 year(s).
[20.09.2018 17:31:30] - TRADE : From Winnipeg Jets to Pittsburgh Penguins : Cole Cassels (56).
[20.09.2018 17:31:30] - TRADE : From Pittsburgh Penguins to Winnipeg Jets : Y:2019-RND:7-ARI.
[20.09.2018 17:31:29] - Cole Cassels was added to Pittsburgh Penguins.
[17.09.2018 08:12:16] - TRADE : From Carolina Hurricanes to Pittsburgh Penguins : Kyle Chipchura (49), Justin Peters (49), Rene Bourque (49).
[17.09.2018 08:12:16] - TRADE : From Pittsburgh Penguins to Carolina Hurricanes : 150.000 € (Money).
[17.09.2018 08:12:14] - Rene Bourque was added to Pittsburgh Penguins.
[17.09.2018 08:12:14] - Justin Peters was added to Pittsburgh Penguins.
[17.09.2018 08:12:14] - Kyle Chipchura was added to Pittsburgh Penguins.

[11.04.2019 22:32:34] Kyle Connor from Pittsburgh Penguins is back from Separated Right Shoulder Injury.
[08.04.2019 23:05:33] Marcus Hogberg from Pittsburgh Penguins is back from Broken Left Index Finger Injury.
[08.04.2019 23:04:19] Stephen Gionta from Salt Lake City Lynx is back from Torn Right Knee Ligaments Injury.

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