LAAHS - Penguins

Seattle Thunderbirds
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Statistiques d'Équipe
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Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière

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	Mikael Granlund	X	X	X		100.00	67	42	90	87	66	79	95	80	54	79	71	65	25	69	71	75	53	71	0
2	Patric Hornqvist		X	X		100.00	87	45	88	79	67	70	87	83	45	72	80	66	25	76	80	77	54	71	0
3	Joel Armia			X		100.00	85	45	91	81	77	72	85	71	31	66	78	73	75	62	63	74	55	70	0
4	Markus Granlund	X		X		100.00	67	42	91	82	67	70	82	74	57	58	67	85	72	64	65	73	50	68	0
5	Mikkel Boedker		X	X		100.00	71	43	97	85	76	67	90	72	36	79	59	61	61	75	77	69	54	68	0
6	Adam Lowry	X	X			100.00	94	70	87	78	83	68	79	63	98	61	65	84	25	67	69	72	54	68	0
7	Vladimir Sobotka	X				100.00	78	43	88	79	65	67	92	59	85	61	58	86	25	70	73	68	54	67	0
8	Reid Boucher		X	X		100.00	75	69	90	83	69	75	77	71	50	66	71	70	67	57	57	72	51	67	0
9	Sam Bennett	X	X			100.00	82	89	65	83	76	65	94	71	57	62	70	60	25	64	65	70	57	66	0
10	Steve Bernier			X		100.00	76	82	61	67	82	76	80	66	50	56	65	73	62	75	79	66	84	66	0
11	Brent Burns (C)			X	X	100.00	76	45	87	88	87	93	99	89	25	84	60	69	66	87	91	76	48	77	0
12	Dmitry Orlov				X	100.00	82	55	87	84	75	84	99	66	25	66	48	79	25	70	72	66	54	73	0
13	Roman Polak				X	100.00	90	57	75	66	86	78	83	59	25	51	46	97	25	77	80	64	54	73	0
14	Cale Makar (R)				X	100.00	65	63	85	86	74	79	80	85	25	84	65	85	24	44	44	70	47	72	0
15	Tyler Myers				X	100.00	77	55	78	81	89	81	98	65	25	61	51	76	53	73	75	66	54	72	0
16	Niklas Kronwall (A)				X	100.00	76	43	85	74	70	80	96	73	25	65	48	73	53	82	88	65	25	70	0
17	Miro Heiskanen (R)				X	100.00	63	41	93	87	64	88	73	74	25	62	59	74	25	55	55	68	46	68	0
18	Tim Schaller	X	X		X	100.00	79	57	93	78	78	58	82	60	44	62	57	80	25	59	60	66	55	68	0
Rayé
1	Auston Matthews	X				100.00	63	42	93	89	80	79	82	79	92	86	96	62	48	64	65	84	48	75	0
2	Brian Boyle (A)	X	X	X	X	100.00	85	61	84	72	92	65	88	80	67	61	73	82	61	79	85	76	49	74	0

	MOYENNE D'ÉQUIPE					100.00	77	54	85	80	76	75	87	72	47	67	64	75	43	68	71	71	52	70

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	Tuukka Rask	100.00	81	75	74	79	85	78	71	82	82	81	90	71	74	79	54	76	0
2	Jack Campbell	100.00	82	62	60	79	88	76	77	78	88	82	43	47	47	78	54	73	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	82	69	67	79	87	77	74	80	85	82	67	59	61	79	54	75

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd McLellan	79	49	57	48	90	74	66	CAN	48	1	1,378,125$

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	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Adam Lowry	Penguins	C/LW	25	1993-03-28	No	210 Lbs	6 ft6	No	No	No	2	Pro & Farm	2,916,666$	2,916,666$	0$	No	2,916,666$				Lien
Auston Matthews	Penguins	C	20	1997-09-17	No	216 Lbs	6 ft3	No	No	No	5	Pro & Farm	11,634,000$	11,634,000$	0$	No	11,634,000$	11,634,000$	11,634,000$	11,634,000$	Lien
Brent Burns	Penguins	RW/D	33	1985-03-09	No	230 Lbs	6 ft5	No	No	No	3	Pro & Farm	8,000,000$	8,000,000$	0$	No	8,000,000$	8,000,000$			Lien
Brian Boyle	Penguins	C/LW/RW/D	33	1984-12-18	No	245 Lbs	6 ft6	No	No	No	1	Pro & Farm	2,805,000$	2,805,000$	0$	No					Lien
Cale Makar	Penguins	D	19	1998-10-30 06:19:51	Yes	187 Lbs	5 ft11	No	No	No	3	Pro & Farm	880,833$	880,833$	0$	No	880,833$	880,833$
Dmitry Orlov	Penguins	D	26	1991-07-22	No	212 Lbs	5 ft11	No	No	No	3	Pro & Farm	5,100,000$	5,100,000$	0$	No	5,100,000$	5,100,000$			Lien
Jack Campbell	Penguins	G	26	1992-01-08	No	197 Lbs	6 ft3	No	No	No	3	Pro & Farm	675,000$	675,000$	0$	No	1,650,000$	1,650,000$			Lien
Joel Armia	Penguins	RW	25	1993-05-31	No	205 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,600,000$	2,600,000$	0$	No	2,600,000$				Lien
Markus Granlund	Penguins	C/RW	25	1993-04-15	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,300,000$	1,300,000$	0$	No					Lien
Mikael Granlund	Penguins	C/LW/RW	26	1992-02-25	No	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	5,750,000$	5,750,000$	0$	No					Lien
Mikkel Boedker	Penguins	LW/RW	28	1989-12-15	No	210 Lbs	6 ft0	No	No	No	1	Pro & Farm	4,000,000$	4,000,000$	0$	No					Lien
Miro Heiskanen	Penguins	D	18	1999-07-18	Yes	170 Lbs	6 ft0	No	No	No	2	Pro & Farm	894,166$	894,166$	0$	No	894,166$				Lien
Niklas Kronwall	Penguins	D	37	1981-01-11	No	194 Lbs	6 ft0	No	No	No	1	Pro & Farm	5,225,000$	5,225,000$	0$	No					Lien
Patric Hornqvist	Penguins	LW/RW	31	1987-01-01	No	189 Lbs	5 ft11	No	No	No	3	Pro & Farm	5,300,000$	5,300,000$	0$	No	5,300,000$	5,300,000$			Lien
Reid Boucher	Penguins	LW/RW	24	1993-09-08	No	195 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	No					Lien
Roman Polak	Penguins	D	32	1986-04-28	No	235 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,750,000$	1,750,000$	0$	No					Lien
Sam Bennett	Penguins	C/LW	22	1996-06-19	No	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	2,550,000$	2,550,000$	0$	No	2,550,000$				Lien
Steve Bernier	Penguins	RW	33	1985-03-31	No	220 Lbs	6 ft3	No	No	No	1	Pro & Farm	715,000$	715,000$	0$	No					Lien
Tim Schaller	Penguins	C/LW/D	27	1990-11-16	No	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,900,000$	1,900,000$	0$	No					Lien
Tuukka Rask	Penguins	G	31	1987-03-10	No	194 Lbs	6 ft3	No	No	No	2	Pro Only	7,000,000$	7,000,000$	0$	No	7,000,000$				Lien
Tyler Myers (Contrat à 1 Volet)	Penguins	D	28	1990-01-31	No	229 Lbs	6 ft8	No	No	No	5	Pro & Farm	6,000,000$	6,000,000$	0$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	Lien
Vladimir Sobotka	Penguins	C	30	1987-07-02	No	184 Lbs	5 ft10	No	No	No	2	Pro & Farm	3,500,000$	3,500,000$	0$	No	3,500,000$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.23	205 Lbs	6 ft2	2.09	3,692,985$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
81,245,665$	58,025,665$	38,564,833$	17,634,000$	17,634,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mikael Granlund		Patric Hornqvist	40	1	2	2
2	Mikkel Boedker	Markus Granlund	Joel Armia	30	1	2	2
3	Tim Schaller	Adam Lowry	Reid Boucher	20	1	2	2
4	Sam Bennett	Vladimir Sobotka	Steve Bernier	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2	Roman Polak	Dmitry Orlov	30	1	2	2
3	Tyler Myers	Niklas Kronwall	20	1	2	2
4	Miro Heiskanen		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mikael Granlund		Patric Hornqvist	60	1	2	2
2	Mikkel Boedker	Markus Granlund	Joel Armia	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2	Roman Polak	Dmitry Orlov	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Mikael Granlund	60	1	2	2
2	Patric Hornqvist	Joel Armia	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2	Roman Polak	Dmitry Orlov	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2	Mikael Granlund	40	1	2	2	Roman Polak	Dmitry Orlov	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Mikael Granlund	60	1	2	2
2	Patric Hornqvist	Joel Armia	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2	Roman Polak	Dmitry Orlov	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mikael Granlund		Patric Hornqvist

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mikael Granlund		Patric Hornqvist

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Adam Lowry, Tim Schaller, Reid Boucher	Adam Lowry, Tim Schaller	Reid Boucher

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tyler Myers, Niklas Kronwall, Miro Heiskanen	Tyler Myers	Niklas Kronwall, Miro Heiskanen

Tirs de Pénalité
, , , Mikael Granlund, Patric Hornqvist

Gardien
#1 : Tuukka Rask, #2 : Jack Campbell

Lignes d'Attaque Perso. en Prol.
, , , Mikael Granlund, Patric Hornqvist, Joel Armia, Joel Armia, Mikkel Boedker, Markus Granlund, Adam Lowry, Tim Schaller

Lignes de Défense Perso. en Prol.
, , Roman Polak, Dmitry Orlov, Tyler Myers

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	6000	5000	2000	4000	1000
Prix des Billets	85	60	35	20	180
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$	18000	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$	81,245,665$	70,995,665$	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$	22	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$	13,293,095$	13,293,095$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Brian Boyle	AGE:33	PO:76	OV:74
Patric Hornqvist	AGE:31	PO:77	OV:71
Mikael Granlund	AGE:26	PO:75	OV:71
Adam Lowry	AGE:25	PO:72	OV:68
Mikkel Boedker	AGE:28	PO:69	OV:68
Tim Schaller	AGE:27	PO:66	OV:68
Reid Boucher	AGE:24	PO:72	OV:67
Sam Bennett	AGE:22	PO:70	OV:66
*Jesperi Kotkaniemi	AGE:17	PO:68	OV:64
Josh Leivo	AGE:25	PO:68	OV:64
Stefan Noesen	AGE:25	PO:65	OV:62
Matt Read	AGE:32	PO:63	OV:61
Peter Cehlarik	AGE:23	PO:67	OV:60
Brett Sutter	AGE:31	PO:64	OV:59
Hampus Gustafsson	AGE:24	PO:54	OV:54

Auston Matthews	AGE:20	PO:84	OV:75
Brian Boyle	AGE:33	PO:76	OV:74
Mikael Granlund	AGE:26	PO:75	OV:71
Markus Granlund	AGE:25	PO:73	OV:68
Adam Lowry	AGE:25	PO:72	OV:68
Tim Schaller	AGE:27	PO:66	OV:68
Vladimir Sobotka	AGE:30	PO:68	OV:67
Sam Bennett	AGE:22	PO:70	OV:66
*Jesperi Kotkaniemi	AGE:17	PO:68	OV:64
Sam Carrick	AGE:26	PO:68	OV:63
T.J. Tynan	AGE:26	PO:65	OV:62
*Brooks Macek	AGE:26	PO:67	OV:61
*Logan Brown	AGE:20	PO:65	OV:61
Matt Read	AGE:32	PO:63	OV:61
Emil Pettersson	AGE:24	PO:63	OV:60
Brett Sutter	AGE:31	PO:64	OV:59
Rourke Chartier	AGE:22	PO:61	OV:57
Landon Ferraro	AGE:26	PO:59	OV:56
Hampus Gustafsson	AGE:24	PO:54	OV:54

Brent Burns	AGE:33	PO:76	OV:77
Brian Boyle	AGE:33	PO:76	OV:74
Patric Hornqvist	AGE:31	PO:77	OV:71
Mikael Granlund	AGE:26	PO:75	OV:71
Joel Armia	AGE:25	PO:74	OV:70
Markus Granlund	AGE:25	PO:73	OV:68
Mikkel Boedker	AGE:28	PO:69	OV:68
Reid Boucher	AGE:24	PO:72	OV:67
Steve Bernier	AGE:33	PO:66	OV:66
Josh Leivo	AGE:25	PO:68	OV:64
Stefan Noesen	AGE:25	PO:65	OV:62
T.J. Tynan	AGE:26	PO:65	OV:62
Yannick Weber	AGE:29	PO:59	OV:62
*Brooks Macek	AGE:26	PO:67	OV:61
Matt Read	AGE:32	PO:63	OV:61
Landon Ferraro	AGE:26	PO:59	OV:56

Défense #1

Défense #2

Gardien

Brent Burns	AGE:33	PO:76	OV:77
Brian Boyle	AGE:33	PO:76	OV:74
Dmitry Orlov	AGE:26	PO:66	OV:73
Roman Polak	AGE:32	PO:64	OV:73
*Cale Makar	AGE:19	PO:70	OV:72
Tyler Myers	AGE:28	PO:66	OV:72
Niklas Kronwall	AGE:37	PO:65	OV:70
*Miro Heiskanen	AGE:18	PO:68	OV:68
Tim Schaller	AGE:27	PO:66	OV:68
Jacob Larsson	AGE:21	PO:61	OV:65

Jacob MacDonald	AGE:25	PO:62	OV:64
Yannick Weber	AGE:29	PO:59	OV:62
Joey LaLeggia	AGE:26	PO:61	OV:61
Matt Irwin	AGE:30	PO:58	OV:61
Matt Tennyson	AGE:28	PO:56	OV:61
*Logan Stanley	AGE:20	PO:55	OV:60
Andrew Campbell	AGE:30	PO:53	OV:60
Rob O'Gara	AGE:24	PO:53	OV:58
Vincent LoVerde	AGE:29	PO:52	OV:57

Tuukka Rask	AGE:31	PO:79	OV:76
Jack Campbell	AGE:26	PO:78	OV:73
*Mitch Gillam	AGE:25	PO:68	OV:64
John Muse	AGE:29	PO:65	OV:62
Zane McIntyre	AGE:25	PO:59	OV:59
Jake Paterson	AGE:24	PO:46	OV:48

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
Andrew Miller	Penguins
Benoit Pouliot	Penguins
Blake Heinrich	Penguins	2013	145
Brendan De Jong	Penguins	2017	196
Brett Davis	Penguins	2017	175
Graeme Clarke	Penguins	2019	99
Hugo Alnefelt	Penguins	2019	101
IVAN FEDOTOV	Penguins	2015	187
Jack Malone	Penguins	2019	193
Jamie McBain	Penguins
John Beecher	Penguins	2019	41
Kody Clark	Penguins	2018	65
Mackenze Stewart	Penguins	2014	192
Marian Gaborik	Penguins
Matej Machovsky	Penguins
Samuel Fagemo	Penguins	2019	52
Shane Prince	Penguins
Simon Johansson	Penguins	2018	166
Spencer Knight	Penguins	2019	11
TATE OLSON	Penguins	2015	195
Vincent Desharnais	Penguins	2016	198

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020	PIT	PIT		PIT COL	PIT	COL PIT FLA		PIT
2021	PIT	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2022	PIT	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2023	PIT	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2024	PIT	PIT	PIT	PIT	PIT	PIT	PIT	PIT

[2020-05-08 13:14:38] - Seattle Thunderbirds was eliminated at round 1 of year 2019.
[2020-04-29 17:02:26] - Penguins didn't make playoff for year 2019.
[2020-04-06 17:04:52] - New Record for Team's Most Shots (49) in 1 Game for Penguins!
[2020-02-13 20:35:35] - New Record for Team's Most Shots Blocked (26) in 1 Game for Penguins!
[2020-02-10 20:03:09] - TRADE : From Panthers to Penguins : Y:2020-RND:4-COL, Y:2020-RND:6-FLA.
[2020-02-10 20:03:09] - TRADE : From Penguins to Panthers : Marcus Foligno (68), Y:2020-RND:7-PIT.
[2019-11-30 12:21:22] - Cale Makar was added to Penguins.
[2019-09-30 18:15:46] - Niklas Kronwall has been selected as assistant for Penguins.
[2019-09-30 18:15:46] - Brent Burns is no longer as assistant for Penguins.
[2019-09-30 18:15:46] - Brent Burns has been selected as captain for Penguins.
[2019-09-30 18:15:46] - Unknown Player is no longer captain for Penguins.
[2019-09-22 11:35:10] - TRADE : From Wild to Penguins : Adam Lowry (69), Y:2020-RND:6-COL.
[2019-09-22 11:35:10] - TRADE : From Penguins to Wild : Keaton Middleton (59), IAKOV TRENIN (P), Y:2020-RND:3-PIT.
[2019-09-10 15:28:35] - Brooks Macek signed with Penguins for 900 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:28:35] - Brooks Macek was added to Penguins.
[2019-09-10 15:26:22] - John Muse signed with Penguins for 1 000 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:26:22] - John Muse was added to Penguins.
[2019-09-10 15:25:26] - Kevin Porter signed with Penguins for 900 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:25:26] - Kevin Porter was added to Penguins.
[2019-09-10 15:25:10] - Greg Carey signed with Penguins for 1 000 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:25:10] - Greg Carey was added to Penguins.
[2019-09-08 15:33:56] - Seattle Thunderbirds hired Dave Hakstol for 60 000 $ for 1 year(s).
[2019-09-08 15:24:35] - Emil Pettersson signed with Penguins for 700 000 $ for 1 year(s).
[2019-09-08 15:24:35] - Emil Pettersson was added to Penguins.
[2019-09-08 15:24:24] - Rob O'Gara signed with Penguins for 700 000 $ for 1 year(s).
[2019-09-08 15:24:24] - Rob O'Gara was added to Penguins.
[2019-09-08 15:24:14] - Stefan Noesen signed with Penguins for 1 500 000 $ for 1 year(s).
[2019-09-08 15:24:14] - Stefan Noesen was added to Penguins.

[2020-05-11 13:18:57] Successfully loaded Penguins lines done with STHS Client - 3.2.1.1
[2020-05-08 13:14:34] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-05-07 15:47:34] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-05-06 18:51:36] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-05-05 16:28:04] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-05-04 16:35:02] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-05-01 16:38:48] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-29 16:58:13] Cale Makar from Penguins is back from Broken Ribs Injury.
[2020-04-27 19:39:11] Auston Matthews from Penguins is back from Exhaustion.
[2020-04-27 19:39:11] Brian Boyle from Penguins is back from Exhaustion.
[2020-04-27 19:39:11] Brent Burns from Penguins is back from Exhaustion.
[2020-04-27 19:35:22] Penguins are expected to be under the minimum salary cap by 3 576 043 $!
[2020-04-27 19:35:16] Auston Matthews from Penguins is injured from Exhaustion.
[2020-04-27 19:35:16] Brian Boyle from Penguins is injured from Exhaustion.
[2020-04-27 19:35:16] Brent Burns from Penguins is injured from Exhaustion.
[2020-04-23 16:06:28] Successfully loaded Penguins lines done with STHS Client - 3.2.1.1
[2020-04-23 16:06:28] Jacob Larsson of Penguins was sent down to farm.
[2020-04-20 16:05:53] Penguins lines for next game are empty. Current rosters/lines are not erased.
[2020-04-20 16:05:49] Auto Lines Function has been run for Penguins.
[2020-04-20 16:03:40] Auto Lines Function has been run for Penguins.
[2020-04-20 16:03:40] Auto Roster Partial Function has been run for Penguins.
[2020-04-20 16:03:40] Jacob Larsson of Penguins was sent to pro.
[2020-04-15 17:04:45] Penguins lines for next game are empty. Current rosters/lines are not erased. But, Seattle Thunderbirds lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2020-04-15 17:04:45] Last 7 Days Pro Star : 1 - Auston Matthews of Penguins (5-4-9) / 2 - Logan Couture of Maple Leafs (3-7-10) / 3 - Nikolaj Ehlers of Maple Leafs (6-1-7)
[2020-04-15 17:04:44] Sam Carrick from Seattle Thunderbirds has scored a Hat Trick!
[2020-04-15 17:04:43] Game 1160 - Cale Makar from Penguins is injured (Broken Ribs) and is out for 3 weeks.
[2020-04-15 16:54:47] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-14 17:33:51] Penguins lines for next game are empty. Current rosters/lines are not erased. But, Seattle Thunderbirds lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2020-04-14 17:27:12] Auto Lines Function has been run for Seattle Thunderbirds.
[2020-04-14 17:27:12] Auto Lines Function has been run for Penguins.

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
Saison Régulière
2016	82	20	43	0	9	4	3	3	229	281	-52	41	13	20	0	3	3	1	1	119	138	-19	41	7	23	0	6	1	2	2	110	143	-33	40	229	361	590	3	1	73	76	68	14	2730	864	906	922	62	2785	931	525	1688	204	42	20.59%	221	51	76.92%	4	883	1889	46.74%	907	1862	48.71%	576	1241	46.41%	1722	965	1770	760	1480	735
2017	82	26	38	0	4	7	5	2	232	259	-27	41	11	21	0	3	2	3	1	107	130	-23	41	15	17	0	1	5	2	1	125	129	-4	52	232	374	606	2	0	52	93	78	11	2726	788	1005	907	53	2838	932	495	1631	181	29	16.02%	246	45	81.71%	2	803	1882	42.67%	877	2038	43.03%	514	1212	42.41%	1709	974	1812	753	1450	706
2018	82	28	34	0	5	7	6	2	235	254	-19	41	15	15	0	4	3	3	1	133	129	4	41	13	19	0	1	4	3	1	102	125	-23	56	235	374	609	0	0	54	94	76	13	2614	780	965	833	61	2792	985	522	1632	202	35	17.33%	252	43	82.94%	3	834	1838	45.38%	905	1973	45.87%	552	1213	45.51%	1717	968	1806	749	1461	728
2019	82	26	36	0	6	6	4	4	213	246	-33	41	14	20	0	1	3	2	1	108	121	-13	41	12	16	0	5	3	2	3	105	125	-20	82	213	353	566	3	1	39	84	80	12	2735	783	978	938	67	2759	925	610	1672	168	39	23.21%	253	53	79.05%	5	942	1837	51.28%	1029	2004	51.35%	591	1181	50.04%	1749	1003	1783	739	1446	715
Total Saison Régulière	328	100	151	0	24	24	18	11	909	1040	-131	164	53	76	0	11	11	9	4	467	518	-51	164	47	75	0	13	13	9	7	442	522	-80	230	909	1462	2371	8	2	218	347	302	50	10805	3215	3854	3600	243	11174	3773	2152	6623	755	145	19.21%	972	192	80.25%	14	3462	7446	46.49%	3718	7877	47.20%	2233	4847	46.07%	6898	3912	7173	3002	5839	2885