Profi League - Red Wings

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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	Henrik Zetterberg (C)	X	X	X		100.00	64	42	88	83	79	93	91	88	94	55	46	60	50	93	97	0	44	73	0
2	Filip Forsberg		X	X		100.00	71	54	81	90	74	90	98	88	63	51	56	70	63	74	74	0	44	73	0
3	Frans Nielsen	X				100.00	62	41	98	81	78	86	91	82	95	51	49	75	90	74	75	0	44	72	0
4	Justin Abdelkader	X	X	X		100.00	81	79	78	84	82	89	88	76	63	47	50	69	50	71	74	0	44	71	0
5	Darren Helm	X	X	X		100.00	73	44	84	91	66	82	87	73	61	44	47	72	75	70	74	0	44	69	0
6	Gustav Nyquist		X	X		100.00	64	42	83	85	76	81	98	85	63	49	49	60	61	65	67	0	44	69	0
7	Tyler Johnson	X		X		100.00	65	42	88	90	66	86	84	85	91	51	49	67	50	64	66	0	44	69	0
8	Tomas Tatar		X	X		100.00	67	43	88	88	71	79	96	80	63	48	51	60	61	65	66	0	44	68	0
9	Victor Rask	X				100.00	62	42	87	82	72	86	91	73	91	49	49	62	50	66	60	0	44	67	0
10	Luke Glendening	X		X		100.00	75	44	81	77	63	81	99	64	99	43	43	81	50	63	64	0	44	67	0
11	Melker Karlsson	X	X	X		100.00	69	44	89	77	65	77	81	65	60	43	46	67	90	58	58	0	44	64	0
12	Niklas Kronwall (A)				X	100.00	76	44	83	82	87	87	82	74	25	50	40	77	53	90	94	0	44	73	0
13	Mike Green				X	100.00	76	44	83	86	81	81	89	78	25	51	43	72	50	86	82	0	44	72	0
14	Danny DeKeyser				X	100.00	73	44	81	84	82	88	95	68	25	45	43	79	50	77	73	0	44	71	0
15	Jonathan Ericsson				X	100.00	78	46	76	76	81	80	93	66	25	43	40	78	50	71	75	0	44	68	0
16	Brendan Smith				X	100.00	76	66	73	80	76	77	87	69	25	44	40	74	50	65	67	0	44	67	0
17	Martin Marincin				X	100.00	69	43	81	75	73	74	84	69	25	41	38	78	90	60	60	0	17	64	0
Rayé
1	Mikko Rantanen (R)	X	X	X		100.00	75	80	64	80	59	57	67	65	86	42	45	64	60	44	44	0	44	60	0

	MOYENNE D'ÉQUIPE					100.00	71	49	83	83	74	82	89	75	60	47	46	70	61	70	71	0	43	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	Jimmy Howard	100.00	73	80	88	80	73	70	77	75	76	68	66	82	85	0	44	75	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	73	80	88	80	73	70	77	75	76	68	66	82	85	0	44	75

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Babcock	73	72	70	86	86	82	64	CAN	53	4	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	PPG	PPA	PPP	PKG	PKM	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Henrik Zetterberg	Red Wings		C/LW/RW	4	0	2	2	-1	0	0	2	9	4	11	0.00%	1	18.:.52	0	0	0	0	0	0	60.00%	5	8	1	0	0	0.53	0
2	Gustav Nyquist	Red Wings		LW/RW	4	1	1	2	-4	0	0	7	11	3	9	9.09%	3	16.:.30	1	0	1	0	0	0	0.00%	2	9	2	0	0	0.61	0
3	Filip Forsberg	Red Wings		LW/RW	4	2	0	2	-1	2	0	5	11	5	8	18.18%	2	18.:.40	0	0	0	0	0	0	0.00%	6	12	1	0	0	0.54	0
4	Danny DeKeyser	Red Wings		D	4	0	2	2	-3	2	0	4	9	2	4	0.00%	12	18.:.40	0	0	0	0	3	0	0.00%	0	0	5	0	0	0.54	0
5	Tomas Tatar	Red Wings		LW/RW	4	1	1	2	-4	0	0	2	8	1	8	12.50%	0	16.:.30	0	1	1	0	0	0	50.00%	2	4	1	0	0	0.61	0
6	Mikko Rantanen	Red Wings		C/LW/RW	4	0	1	1	-1	4	0	8	1	0	1	0.00%	1	16.:.49	0	0	0	0	0	0	45.61%	57	0	2	0	0	0.30	0
7	Mike Green	Red Wings		D	4	0	1	1	-4	0	0	7	6	3	8	0.00%	9	22.:.28	0	0	0	0	3	0	0.00%	0	2	2	0	0	0.22	0
8	Tyler Johnson	Red Wings		C/RW	4	0	1	1	-4	0	0	4	7	6	12	0.00%	2	17.:.45	0	0	0	0	3	0	48.00%	50	16	4	0	0	0.28	0
9	Victor Rask	Red Wings		C	4	1	0	1	0	0	0	4	7	4	1	14.29%	0	10.:.22	0	0	0	0	0	0	33.33%	15	7	0	0	0	0.48	0
10	Martin Marincin	Red Wings		D	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.00	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
11	Darren Helm	Red Wings		C/LW/RW	4	0	0	0	0	2	0	12	4	2	6	0.00%	0	15.:.30	0	0	0	0	3	0	44.44%	9	7	1	0	0	0.00	0
12	Jonathan Ericsson	Red Wings		D	4	0	0	0	-2	0	0	4	3	3	3	0.00%	1	19.:.11	0	0	0	0	4	0	0.00%	0	0	5	0	0	0.00	0
13	Justin Abdelkader	Red Wings		C/LW/RW	4	0	0	0	0	0	0	7	9	4	4	0.00%	1	14.:.37	0	0	0	0	0	0	50.00%	2	8	3	0	0	0.00	0
14	Niklas Kronwall	Red Wings		D	4	0	0	0	-3	0	0	5	9	4	4	0.00%	6	22.:.51	0	0	0	0	4	0	0.00%	0	0	9	0	0	0.00	0
15	Brendan Smith	Red Wings		D	4	0	0	0	1	4	0	4	6	2	2	0.00%	3	16.:.01	0	0	0	0	0	0	0.00%	0	1	3	0	0	0.00	0
16	Frans Nielsen	Red Wings		C	4	0	0	0	0	0	0	2	8	4	5	0.00%	1	15.:.34	0	0	0	0	3	0	66.67%	30	3	2	0	0	0.00	0
17	Melker Karlsson	Red Wings		C/LW/RW	4	0	0	0	0	0	0	4	3	0	3	0.00%	1	10.:.22	0	0	0	0	0	0	100.00%	1	4	4	0	0	0.00	0
18	Luke Glendening	Red Wings		C/RW	4	0	0	0	0	0	0	9	4	3	0	0.00%	2	11.:.32	0	0	0	0	3	0	25.00%	4	1	0	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		72	5	9	14	-26	14	0	90	71	115	50	89	4.35%	45	1129	15.68	1	1	2	11	87	0	31	0	0	46.99%	183	82	45	0	0.25	0	0	0	0	0	0	0	2

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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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jimmy Howard	Red Wings	1	0	1	0	91.4%	3.00	60	0	0	3	35	20	0	0	0.0%	0	1	3	0	0	0
Stats d'équipe Total ou en Moyenne	1	0	1	0	0.914	3.00	60	0	0	3	35	20	0	0	0.000	0	1	3	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 Joueur	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Brendan Smith	D	27	08.02.1989	No	211 Lbs	6 ft2	No	No	3	Pro Only	2,000,000$	0$	2,000,000$	2,000,000$		Lien
Danny DeKeyser	D	26	07.03.1990 4:10:00	No	191 Lbs	6 ft3	No	No	4	Pro & Farm	3,500,000$	0$	3,500,000$	3,500,000$	3,500,000$	Lien
Darren Helm	C/LW/RW	29	21.01.1987	No	196 Lbs	6 ft0	No	No	4	Pro & Farm	2,300,000$	0$	2,300,000$	2,300,000$	2,300,000$	Lien
Filip Forsberg	LW/RW	22	13.08.1994 4:03:12	No	186 Lbs	6 ft1	No	No	3	Pro & Farm	5,100,000$	0$	5,100,000$	5,100,000$		Lien
Frans Nielsen	C	32	24.04.1984	No	190 Lbs	5 ft11	No	No	1	Pro & Farm	3,000,000$	0$				Lien
Gustav Nyquist	LW/RW	27	01.09.1989 7:00:42	No	183 Lbs	5 ft11	Yes	No	4	Pro & Farm	4,000,000$	0$	4,000,000$	4,000,000$	4,000,000$	Lien
Henrik Zetterberg	C/LW/RW	36	09.10.1980	No	195 Lbs	6 ft0	Yes	No	2	Pro & Farm	6,600,000$	0$	6,600,000$			Lien
Jimmy Howard	G	32	26.03.1984	No	218 Lbs	6 ft1	No	No	2	Pro & Farm	2,500,000$	0$	2,500,000$			Lien
Jonathan Ericsson	D	32	02.03.1984	No	220 Lbs	6 ft4	No	No	2	Pro & Farm	2,700,000$	0$	2,700,000$			Lien
Justin Abdelkader	C/LW/RW	29	25.02.1987	No	218 Lbs	6 ft2	No	No	4	Pro & Farm	3,500,000$	0$	3,500,000$	3,500,000$	3,500,000$	Lien
Luke Glendening	C/RW	27	28.04.1989	No	194 Lbs	5 ft11	No	No	2	Pro Only	1,400,000$	0$	1,400,000$			Lien
Martin Marincin	D	24	18.02.1992 0:48:56	No	203 Lbs	6 ft4	No	No	2	Pro & Farm	2,600,000$	0$	2,600,000$			Lien
Melker Karlsson	C/LW/RW	26	18.07.1990	No	190 Lbs	6 ft0	No	No	1	Pro Only	1,600,000$	0$				Lien
Mike Green	D	31	12.10.1985	No	207 Lbs	6 ft1	No	No	1	Pro & Farm	5,000,000$	0$				Lien
Mikko Rantanen	C/LW/RW	19	29.10.1996 2:08:30	Yes	211 Lbs	6 ft4	No	No	3	Pro & Farm	1,500,000$	0$	1,500,000$	1,500,000$		Lien
Niklas Kronwall	D	35	12.01.1981	No	194 Lbs	6 ft0	No	No	1	Pro & Farm	5,000,000$	0$				Lien
Tomas Tatar	LW/RW	25	01.12.1990	No	185 Lbs	5 ft10	No	No	1	Pro & Farm	2,900,000$	0$				Lien
Tyler Johnson	C/RW	26	29.07.1990	No	183 Lbs	5 ft8	Yes	No	3	Pro & Farm	6,000,000$	0$	6,000,000$	6,000,000$		Lien
Victor Rask	C	23	01.03.1993 11:31:57	No	200 Lbs	6 ft2	No	No	1	Pro Only	1,200,000$	0$				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
19	27.79	199 Lbs	6 ft1	2.3157894736842	3,284,211$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1		Henrik Zetterberg	Filip Forsberg	40	1	2	2
2	Tyler Johnson	Tomas Tatar	Gustav Nyquist	30	1	2	2
3	Frans Nielsen	Justin Abdelkader	Darren Helm	20	1	3	1
4	Victor Rask	Melker Karlsson	Luke Glendening	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Niklas Kronwall	Jonathan Ericsson	35	1	2	2
2	Danny DeKeyser	Mike Green	35	1	2	2
3		Brendan Smith	25	1	3	1
4	Niklas Kronwall	Mike Green	5	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1		Henrik Zetterberg	Filip Forsberg	50	1	1	3
2	Tyler Johnson	Tomas Tatar	Gustav Nyquist	50	1	1	3

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Frans Nielsen	Niklas Kronwall	50	1	1	3
2	Justin Abdelkader	Mike Green	50	1	1	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Tyler Johnson	Luke Glendening	50	1	4	0
2	Frans Nielsen	Darren Helm	50	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Niklas Kronwall	Jonathan Ericsson	50	1	4	0
2	Danny DeKeyser		50	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Luke Glendening	50	1	4	0	Niklas Kronwall	Jonathan Ericsson	50	1	4	0
2	Darren Helm	50	1	4	0	Danny DeKeyser		50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Tomas Tatar	50	1	2	2
2	Henrik Zetterberg	Filip Forsberg	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Niklas Kronwall	Jonathan Ericsson	50	1	2	2
2	Danny DeKeyser	Mike Green	50	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
	Henrik Zetterberg	Tyler Johnson	Niklas Kronwall	Mike Green

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Tyler Johnson	Darren Helm	Luke Glendening	Niklas Kronwall	Danny DeKeyser

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Justin Abdelkader, Tyler Johnson, Gustav Nyquist	Justin Abdelkader, Gustav Nyquist	Tyler Johnson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Niklas Kronwall, Danny DeKeyser		Niklas Kronwall, Danny DeKeyser

Tirs de Pénalité
, Frans Nielsen, Henrik Zetterberg, Tyler Johnson, Gustav Nyquist

Gardien
#1 : Jimmy Howard, #2 :

Lignes d'Attaque Perso. en Prol.
Tyler Johnson, Gustav Nyquist, Tomas Tatar, Henrik Zetterberg, Frans Nielsen, Justin Abdelkader, Justin Abdelkader, Luke Glendening, Filip Forsberg, Darren Helm, Victor Rask

Lignes de Défense Perso. en Prol.
Mike Green, Danny DeKeyser, Niklas Kronwall, Brendan Smith, Jonathan Ericsson

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	OTL	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	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	Lightning	1	1	0	2	6	-4	0	0.000	2	4	6	1	1	0	32	8	10	14	36	15	6	18	1	0	0.00%	3	2	33.33%	38	70	54.29%	28	69	40.58%	20	44	45.45%	20	14	25	7	13	5
2	Panthers	1	1	0	1	3	-2	0	0.000	1	1	2	0	0	1	29	11	8	10	35	16	4	28	2	1	50.00%	2	1	50.00%	38	70	54.29%	28	69	40.58%	20	44	45.45%	23	15	19	7	16	8
3	Canucks	1	1	0	1	2	-1	0	0.000	1	2	3	0	1	0	33	7	21	5	28	10	0	17	3	0	0.00%	0	0	0.00%	38	70	54.29%	28	69	40.58%	20	44	45.45%	28	21	18	6	12	6
4	Stars	1	0	1	1	2	-1	1	0.500	1	2	3	0	0	1	26	9	1	16	38	10	4	30	3	0	0.00%	2	1	50.00%	38	70	54.29%	28	69	40.58%	20	44	45.45%	23	14	21	8	15	8
	Vs Conference	2	1	1	2	4	-2	1	0.250	2	4	6	0	1	1	59	16	22	21	66	20	4	47	6	0	0.00%	2	1	50.00%	38	70	54.29%	28	69	40.58%	20	44	45.45%	52	36	40	14	27	14
	Since Last GM Reset	4	3	1	5	13	-8	1	0.125	5	9	14	1	2	2	120	35	40	45	137	51	14	93	9	1	11.11%	7	4	42.86%	38	70	54.29%	28	69	40.58%	20	44	45.45%	96	66	85	28	57	28
	Total	4	3	1	5	13	-8	1	0.125	5	9	14	1	2	2	120	35	40	45	137	51	14	93	9	1	11.11%	7	4	42.86%	38	70	54.29%	28	69	40.58%	20	44	45.45%	96	66	85	28	57	28

			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	1	L1	5	9	14	120	137	51	14	93	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	3	0	1	0	0	5	13

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	8

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	0	1	0	0	2	5

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	3	0	1	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
9	1	11.11%	7	4	42.86%	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
35	40	45	0	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
38	70	54.29%	28	69	40.58%	20	44	45.45%

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	66	85	28	57	28

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
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Sat, Apr 26	@	Canucks2,Red Wings1	RECAP
Sun, Apr 27	@	Lightning6,Red Wings2	RECAP
Wed, Apr 30	@	Red Wings1,Stars2 (OT)	RECAP
Thu, May 1	@	Red Wings1,Panthers3	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	7625	4013	5017	2007	1405
Prix des Billets	90	45	35	20	190
Assistance	0	0	0	0	0
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
0	0 - 0.00%	0$	0$	20067	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
62,400,000$	5,300,000$	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$	27,572,742$	27,572,742$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Henrik Zetterberg	AGE:36	PO:0	OV:73
Filip Forsberg	AGE:22	PO:0	OV:73
Justin Abdelkader	AGE:29	PO:0	OV:71
Darren Helm	AGE:29	PO:0	OV:69
Gustav Nyquist	AGE:27	PO:0	OV:69
Tomas Tatar	AGE:25	PO:0	OV:68
Melker Karlsson	AGE:26	PO:0	OV:64
Andrej Nestrasil	AGE:25	PO:0	OV:62
Magnus Paajarvi	AGE:25	PO:0	OV:61
*Sven Andrighetto	AGE:23	PO:0	OV:61
*Mikko Rantanen	AGE:19	PO:0	OV:60
Joakim Andersson	AGE:27	PO:0	OV:59
*Teemu Pulkkinen	AGE:24	PO:0	OV:58
Tomas Jurco	AGE:23	PO:0	OV:58
Brendan Ranford	AGE:24	PO:0	OV:55
Patrice Cormier	AGE:26	PO:0	OV:54
*Markus Hannikainen	AGE:23	PO:0	OV:53
Michael Keranen	AGE:26	PO:0	OV:53
Mitch Callahan	AGE:25	PO:0	OV:52
*Tyler Bertuzzi	AGE:21	PO:0	OV:50

Henrik Zetterberg	AGE:36	PO:0	OV:73
Frans Nielsen	AGE:32	PO:0	OV:72
Justin Abdelkader	AGE:29	PO:0	OV:71
Darren Helm	AGE:29	PO:0	OV:69
Tyler Johnson	AGE:26	PO:0	OV:69
Victor Rask	AGE:23	PO:0	OV:67
Luke Glendening	AGE:27	PO:0	OV:67
Melker Karlsson	AGE:26	PO:0	OV:64
*Andreas Athanasiou	AGE:22	PO:0	OV:62
Andrej Nestrasil	AGE:25	PO:0	OV:62
*Sven Andrighetto	AGE:23	PO:0	OV:61
*William Nylander	AGE:20	PO:0	OV:61
*Mikko Rantanen	AGE:19	PO:0	OV:60
*Landon Ferraro	AGE:24	PO:0	OV:60
Joakim Andersson	AGE:27	PO:0	OV:59
Patrice Cormier	AGE:26	PO:0	OV:54
*Jean-Sebastien Dea	AGE:22	PO:0	OV:53
Michael Keranen	AGE:26	PO:0	OV:53
*Zach Nastasiuk	AGE:21	PO:0	OV:52
*Joseph LaBate	AGE:23	PO:0	OV:50

Henrik Zetterberg	AGE:36	PO:0	OV:73
Filip Forsberg	AGE:22	PO:0	OV:73
Justin Abdelkader	AGE:29	PO:0	OV:71
Darren Helm	AGE:29	PO:0	OV:69
Gustav Nyquist	AGE:27	PO:0	OV:69
Tyler Johnson	AGE:26	PO:0	OV:69
Tomas Tatar	AGE:25	PO:0	OV:68
Luke Glendening	AGE:27	PO:0	OV:67
Melker Karlsson	AGE:26	PO:0	OV:64
Andrej Nestrasil	AGE:25	PO:0	OV:62
Magnus Paajarvi	AGE:25	PO:0	OV:61
Nick Deslauriers	AGE:25	PO:0	OV:61
*Sven Andrighetto	AGE:23	PO:0	OV:61
*Mikko Rantanen	AGE:19	PO:0	OV:60
*Landon Ferraro	AGE:24	PO:0	OV:60
Joakim Andersson	AGE:27	PO:0	OV:59
*Teemu Pulkkinen	AGE:24	PO:0	OV:58
Tomas Jurco	AGE:23	PO:0	OV:58
Brendan Ranford	AGE:24	PO:0	OV:55
Michael Keranen	AGE:26	PO:0	OV:53
Mitch Callahan	AGE:25	PO:0	OV:52
*Zach Nastasiuk	AGE:21	PO:0	OV:52

Défense #1

Défense #2

Gardien

Niklas Kronwall	AGE:35	PO:0	OV:73
Mike Green	AGE:31	PO:0	OV:72
Danny DeKeyser	AGE:26	PO:0	OV:71
Jonathan Ericsson	AGE:32	PO:0	OV:68
Brendan Smith	AGE:27	PO:0	OV:67
*Darnell Nurse	AGE:21	PO:0	OV:66
Griffin Reinhart	AGE:22	PO:0	OV:64
Martin Marincin	AGE:24	PO:0	OV:64

Dylan Olsen	AGE:25	PO:0	OV:62
Brian Lashoff	AGE:26	PO:0	OV:61
Nick Deslauriers	AGE:25	PO:0	OV:61
Scott Mayfield	AGE:24	PO:0	OV:58
Travis Ehrhardt	AGE:27	PO:0	OV:54
David Musil	AGE:23	PO:0	OV:54
Nick Jensen	AGE:26	PO:0	OV:53
*Kenney Morrison	AGE:24	PO:0	OV:52

*John Gibson	AGE:23	PO:0	OV:77
Jimmy Howard	AGE:32	PO:0	OV:75
Marek Mazanec	AGE:25	PO:0	OV:68
Tom McCollum	AGE:27	PO:0	OV:68
*Jean-Francois Berube	AGE:24	PO:0	OV:68
Kristers Gudlevskis	AGE:24	PO:0	OV:66

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
Adam Almquist	Red Wings
Adam Smith	Red Wings	2016	216
Alex Dostie	Red Wings	2015	169
Alex Tuch	Red Wings	2014	20
Brandon Gignac	Red Wings	2016	78
Brayden Chizen	Red Wings	2016	227
Brent Pedersen	Red Wings	2013	170
Brent Raedke	Red Wings
Carsen Twarynski	Red Wings	2016	123
Colin White	Red Wings	2015	18
Collin Olson	Red Wings	2012	181
Cooper Marody	Red Wings	2015	124
Danick Gauthier	Red Wings
Dante Salituro	Red Wings	2015	165
Darian Dziurzynski	Red Wings
Dominic Turgeon	Red Wings	2014	60
Evan Fitzpatrick	Red Wings	2016	47
Givani Smith	Red Wings	2016	72
Gleason Fournier	Red Wings
Henri Kiviaho	Red Wings	2012	206
Hudson Elynuik	Red Wings	2016	107
Jake Bean	Red Wings	2016	17
Jake Paterson	Red Wings	2012	176
Jakob Forsbacka-Karlsson	Red Wings	2015	43
Johan Gustafsson	Red Wings
John Marino	Red Wings	2015	195
Logan McVeigh	Red Wings	2013	164
Logan Stanley	Red Wings	2016	49
Lucas Wallmark	Red Wings	2013	124
Mac Carruth	Red Wings
Marcus Karlstrom	Red Wings	2013	194
Mathieu Joseph	Red Wings	2015	190
Matt Filipe	Red Wings	2016	159
Mattias Elfstrom	Red Wings	2016	214
Max Nicastro	Red Wings
Ryan Collins	Red Wings	2014	69
Sondre Olden	Red Wings
Tim McGauley	Red Wings	2015	221
Tony Cameranesi	Red Wings	2011	131
Troy Vance	Red Wings	2011	162
Wouter Peeters	Red Wings	2016	146

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	DET	DET	DET	DET	DET	CBJ DET	COL DET
2018	DET	DET	DET	DET	DET	DET	DET
2019	DET	DET	DET	DET	DET	DET	DET
2020	DET	DET	DET	DET	DET	DET	DET
2021	DET	DET	DET	DET	DET	DET	DET

[12.09.2016 4:46:15] - Red Wings drafts Evan Fitzpatrick as the #47 overall pick in the Entry Draft of year 2016.
[12.09.2016 4:46:38] - Red Wings drafts Logan Stanley as the #49 overall pick in the Entry Draft of year 2016.
[14.09.2016 7:24:17] - Red Wings drafts Givani Smith as the #72 overall pick in the Entry Draft of year 2016.
[14.09.2016 7:25:08] - Red Wings drafts Brandon Gignac as the #78 overall pick in the Entry Draft of year 2016.
[22.09.2016 7:42:18] - Red Wings drafts Hudson Elynuik as the #107 overall pick in the Entry Draft of year 2016.
[22.09.2016 7:43:13] - Red Wings drafts MISSED PICK as the #114 overall pick in the Entry Draft of year 2016.
[24.09.2016 5:31:37] - Red Wings drafts Carsen Twarynski as the #123 overall pick in the Entry Draft of year 2016.
[24.09.2016 5:56:50] - Griffins hired Todd Nelson for 100 000 Kč for 5 year(s).
[02.10.2016 7:14:55] - Red Wings drafts MISSED PICK as the #137 overall pick in the Entry Draft of year 2016.
[02.10.2016 7:19:02] - Red Wings drafts Wouter Peeters as the #146 overall pick in the Entry Draft of year 2016.
[02.10.2016 7:20:50] - Red Wings drafts Matt Filipe as the #159 overall pick in the Entry Draft of year 2016.
[10.10.2016 12:16:21] - Red Wings drafts MISSED PICK as the #197 overall pick in the Entry Draft of year 2016.
[12.10.2016 6:33:52] - MISSED PICK has been deleted from Red Wings.
[12.10.2016 6:33:53] - MISSED PICK has been deleted from Red Wings.
[12.10.2016 6:33:55] - MISSED PICK has been deleted from Red Wings.
[12.10.2016 6:34:02] - Mattias Elfstrom has been added to Red Wings.
[12.10.2016 6:34:17] - Adam Smith has been added to Red Wings.
[12.10.2016 6:34:28] - Brayden Chizen has been added to Red Wings.
[15.10.2016 22:15:38] - Unknown Player is no longer as assistant for Red Wings.
[15.10.2016 22:15:38] - Pavel Datsyuk has been selected as assistant for Red Wings.
[15.10.2016 22:15:38] - Unknown Player is no longer as assistant for Griffins.
[15.10.2016 22:15:38] - Magnus Paajarvi has been selected as assistant for Griffins.

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