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			100.00	61	30	95	82	84	92	98	89	85	58	48	62	75	99	99	0	55	74	0
2	Filip Forsberg		X	X		100.00	67	32	94	82	86	90	98	88	48	49	56	70	65	72	72	0	55	72	0
3	Frans Nielsen	X				100.00	62	30	96	76	80	87	97	84	86	48	49	72	74	89	89	0	55	71	0
4	Tyler Johnson	X				100.00	61	30	93	81	81	88	87	86	84	50	51	72	61	75	75	0	55	70	0
5	Gustav Nyquist	X	X			100.00	61	30	95	78	81	87	95	85	60	53	46	60	73	77	77	0	55	69	0
6	Victor Rask	X				100.00	59	30	97	76	83	87	98	85	83	49	48	63	59	70	75	0	55	69	0
7	Tomas Tatar	X	X	X		100.00	65	30	95	78	81	86	99	85	73	46	52	61	61	77	77	0	55	69	0
8	Darren Helm	X	X	X		100.00	68	30	94	71	76	83	77	79	71	43	45	70	59	82	82	0	55	66	0
9	William Nylander (R)	X		X		100.00	57	30	95	75	79	84	85	80	69	54	51	60	58	60	60	0	55	66	0
10	Luke Glendening	X		X		100.00	68	30	94	67	76	78	94	78	82	43	40	76	57	74	74	0	55	66	0
11	Andreas Athanasiou (R)	X	X			100.00	59	40	95	71	77	76	76	78	59	43	51	64	71	60	60	0	55	64	0
12	Melker Karlsson		X			100.00	65	30	95	70	75	77	84	79	47	43	46	71	59	66	66	0	55	64	0
13	P.K. Subban				X	100.00	75	39	89	86	87	92	87	89	34	53	45	79	60	82	82	0	55	76	0
14	Mike Green				X	100.00	72	30	92	84	87	90	90	88	33	49	46	74	61	90	90	0	55	75	0
15	Alexander Edler				X	100.00	78	30	91	78	83	92	84	82	57	46	43	81	59	89	94	0	55	74	0
16	Danny DeKeyser				X	100.00	74	30	93	74	79	88	98	81	34	41	41	81	58	76	76	0	55	71	0
17	Jonathan Ericsson				X	100.00	78	41	85	71	78	86	78	77	34	42	38	77	57	83	83	0	55	69	0
18	Nick Jensen (R)				X	100.00	72	30	96	78	82	85	70	86	30	43	42	75	59	56	56	0	55	68	0
19	Darnell Nurse				X	100.00	83	53	89	71	79	86	72	75	32	41	42	75	58	61	61	0	55	67	0
Rayé
1	Sven Andrighetto (R)			X		100.00	63	30	95	71	77	78	67	79	62	47	44	59	62	60	60	0	46	62	0
2	Nick Deslauriers			X		100.00	89	92	65	60	62	59	92	58	51	40	40	68	50	60	65	0	46	60	0

	MOYENNE D'ÉQUIPE					100.00	68	36	92	75	80	84	87	81	58	47	46	70	62	74	75	0	54	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	John Gibson (R)	98.00	79	96	89	88	76	81	81	81	81	79	81	74	74	0	55	81	0
2	Jimmy Howard	100.00	76	96	77	85	74	77	77	76	77	75	80	84	84	0	55	79	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	78	96	83	87	75	79	79	79	79	77	81	79	79	0	55	80

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Babcock	73	81	95	85	87	82	62	CAN	54	3	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	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Filip Forsberg	Red Wings	LW/RW	4	3	3	6	2	0	0	8	13	6	9	23.08%	4	17.:.47	2	1	3	0	0	0	5	0	0	0.00%	0	7	3	0	1	1.69	0	1
2	Henrik Zetterberg	Red Wings	C/LW	4	1	4	5	3	0	0	4	9	7	7	11.11%	2	17.:.24	0	2	2	0	0	0	0	0	0	46.34%	41	11	1	0	0	1.44	0	1
3	Frans Nielsen	Red Wings	C	4	2	1	3	-1	0	0	3	13	2	8	15.38%	2	16.:.38	0	1	1	0	0	0	0	0	0	41.30%	46	9	1	0	0	0.90	1	1
4	William Nylander	Red Wings	C/RW	4	1	2	3	2	0	0	2	7	0	3	14.29%	0	14.:.40	0	0	0	0	0	0	0	0	0	50.00%	4	3	0	0	0	1.02	0	0
5	Tyler Johnson	Red Wings	C	4	2	1	3	2	0	0	3	7	2	3	28.57%	0	16.:.16	1	0	1	0	0	0	0	1	1	47.62%	42	5	1	0	0	0.92	0	0
6	Darnell Nurse	Red Wings	D	4	0	2	2	4	6	0	10	9	2	7	0.00%	6	15.:.40	0	0	0	0	0	0	0	0	0	0.00%	0	2	4	0	0	0.64	0	0
7	Gustav Nyquist	Red Wings	C/LW	4	0	2	2	3	0	0	4	2	1	10	0.00%	2	16.:.46	0	0	0	0	0	0	0	0	0	0.00%	1	4	2	0	0	0.60	1	1
8	P.K. Subban	Red Wings	D	4	0	2	2	1	0	0	6	5	3	2	0.00%	5	22.:.14	0	1	1	0	0	0	5	0	0	0.00%	0	0	7	0	0	0.45	0	0
9	Andreas Athanasiou	Red Wings	C/LW	4	0	1	1	-1	2	0	2	8	2	4	0.00%	3	15.:.02	0	0	0	0	0	0	0	0	0	0.00%	2	5	0	0	0	0.33	0	0
10	Alexander Edler	Red Wings	D	4	0	1	1	1	0	0	9	6	1	2	0.00%	8	22.:.10	0	0	0	0	0	0	4	0	0	0.00%	0	1	2	0	0	0.23	0	0
11	Melker Karlsson	Red Wings	LW	4	1	0	1	1	0	0	3	5	3	4	20.00%	0	09.:.06	0	0	0	0	0	0	0	0	0	100.00%	1	0	1	0	0	0.55	0	0
12	Mike Green	Red Wings	D	4	1	0	1	0	0	0	8	4	5	4	25.00%	6	20.:.56	0	0	0	0	0	0	0	0	0	0.00%	0	2	8	0	0	0.24	0	0
13	Luke Glendening	Red Wings	C/RW	4	0	1	1	1	0	0	3	6	1	4	0.00%	3	10.:.28	0	0	0	0	0	0	4	0	0	42.86%	7	1	0	0	0	0.48	0	0
14	Tomas Tatar	Red Wings	C/LW/RW	4	1	0	1	3	0	0	3	8	3	6	12.50%	0	16.:.46	0	0	0	0	0	0	0	1	0	100.00%	2	0	1	0	0	0.30	0	0
15	Darren Helm	Red Wings	C/LW/RW	4	0	0	0	-1	2	0	3	6	3	7	0.00%	2	16.:.06	0	0	0	0	0	0	3	0	0	50.00%	2	4	1	0	0	0.00	0	0
16	Nick Jensen	Red Wings	D	4	0	0	0	4	0	0	6	8	1	5	0.00%	7	16.:.53	0	0	0	0	0	0	5	0	0	0.00%	0	2	3	0	0	0.00	0	0
17	Danny DeKeyser	Red Wings	D	4	0	0	0	0	2	0	5	13	0	7	0.00%	7	20.:.44	0	0	0	0	0	0	3	0	0	0.00%	0	2	5	0	0	0.00	0	0
18	Victor Rask	Red Wings	C	4	0	0	0	1	0	0	2	3	5	9	0.00%	0	11.:.50	0	0	0	0	0	0	4	0	0	36.36%	33	6	1	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne			72	12	20	32	25	12	0	84	93	132	47	101	9.09%	57	1190	16.53	3	5	8	6	55	0	0	0	2	39	2	1	43.65%	181	64	41	0	1	0.54	2	4	0	0	0	2	1	4

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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	John Gibson	Red Wings	4	3	1	0	95.3%	1.48	244	0	0	6	128	87	0	0	75.0%	4	4	0	0	2	0
Stats d'équipe Total ou en Moyenne			4	3	1	0	0.953	1.48	244	0	0	6	128	87	0	0	0.750	4	4	0	0	2	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	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	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Alexander Edler	Red Wings	D	31	21.04.1986	No	214 Lbs	6 ft3	No	No	No	4	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$
Andreas Athanasiou	Red Wings	C/LW	23	06.08.1994	Yes	188 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$	1,200,000$
Danny DeKeyser	Red Wings	D	27	07.03.1990 4:10:00	No	192 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$
Darnell Nurse	Red Wings	D	22	04.02.1995 14:36:15	No	220 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,500,000$	1,500,000$	1,500,000$
Darren Helm	Red Wings	C/LW/RW	30	21.01.1987	No	196 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	2,300,000$	2,300,000$	2,300,000$	2,300,000$
Filip Forsberg	Red Wings	LW/RW	23	13.08.1994 4:03:12	No	205 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	5,100,000$	5,100,000$	5,100,000$
Frans Nielsen	Red Wings	C	33	24.04.1984	No	188 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$
Gustav Nyquist	Red Wings	C/LW	28	01.09.1989 7:00:42	No	184 Lbs	5 ft11	Yes	No	No	3	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	4,000,000$
Henrik Zetterberg	Red Wings	C/LW	37	09.10.1980	No	197 Lbs	6 ft0	Yes	No	No	1	Sans Restriction	Pro & Farm	6,600,000$	6,600,000$
Jimmy Howard	Red Wings	G	33	26.03.1984	No	218 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$
John Gibson	Red Wings	G	24	14.07.1993 4:04:01	Yes	210 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	4,000,000$
Jonathan Ericsson	Red Wings	D	33	02.03.1984	No	220 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	2,700,000$	2,700,000$
Luke Glendening	Red Wings	C/RW	28	28.04.1989	No	199 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro Only	1,400,000$	1,400,000$
Melker Karlsson	Red Wings	LW	27	18.07.1990	No	180 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro Only	1,400,000$	1,400,000$	1,400,000$	1,400,000$
Mike Green	Red Wings	D	32	12.10.1985	No	207 Lbs	6 ft1	No	No	No	4	Sans Restriction	Pro & Farm	4,100,000$	4,100,000$	4,100,000$	4,100,000$	4,100,000$
Nick Deslauriers	Red Wings	RW	26	22.02.1991 1:45:49	No	205 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro Only	600,000$	600,000$	600,000$	600,000$		Lien
Nick Jensen	Red Wings	D	27	21.09.1990	Yes	196 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	1,500,000$	1,500,000$
P.K. Subban	Red Wings	D	28	13.05.1989	No	210 Lbs	6 ft0	Yes	No	No	4	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$
Sven Andrighetto	Red Wings	RW	24	21.03.1993	Yes	188 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro Only	1,100,000$	1,100,000$
Tomas Tatar	Red Wings	C/LW/RW	26	01.12.1990	No	185 Lbs	5 ft10	No	No	No	4	Avec Restriction	Pro & Farm	3,400,000$	3,400,000$	3,400,000$	3,400,000$	3,400,000$
Tyler Johnson	Red Wings	C	27	29.07.1990	No	183 Lbs	5 ft8	Yes	No	No	2	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$
Victor Rask	Red Wings	C	24	01.03.1993 11:31:57	No	200 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	2,700,000$	2,700,000$	2,700,000$
William Nylander	Red Wings	C/RW	21	01.05.1996	Yes	190 Lbs	6 ft0	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,600,000$	1,600,000$	1,600,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	27.57	199 Lbs	6 ft1	2.35	3,052,174$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
70,200,000$	54,400,000$	32,300,000$	17,000,000$	0$

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

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	P.K. Subban	Alexander Edler	37	1	2	2
2	Danny DeKeyser	Mike Green	37	1	2	2
3	Nick Jensen	Darnell Nurse	26	1	3	1
4	Alexander Edler	P.K. Subban	0	1	2	2

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

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Johnson	Mike Green	50	1	1	3
2	P.K. Subban	Alexander Edler	50	1	1	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Luke Glendening	Darren Helm	50	1	4	0
2	Victor Rask	Filip Forsberg	50	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	P.K. Subban	Nick Jensen	60	1	4	0
2	Danny DeKeyser	Alexander Edler	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Luke Glendening	60	1	4	0	Alexander Edler	Danny DeKeyser	50	1	4	0
2	Darren Helm	40	1	4	0	P.K. Subban	Nick Jensen	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Henrik Zetterberg	Gustav Nyquist	50	1	2	2
2	Frans Nielsen	Filip Forsberg	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander Edler	P.K. Subban	50	1	2	2
2	Danny DeKeyser	Mike Green	50	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Henrik Zetterberg	Tyler Johnson	Filip Forsberg	Mike Green	P.K. Subban

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Darren Helm	Henrik Zetterberg	Luke Glendening	Danny DeKeyser	Alexander Edler

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Henrik Zetterberg, Filip Forsberg, Frans Nielsen	Henrik Zetterberg, Filip Forsberg	Filip Forsberg

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mike Green, Nick Jensen, Danny DeKeyser	P.K. Subban	Alexander Edler, Nick Jensen

Tirs de Pénalité
Frans Nielsen, Henrik Zetterberg, Filip Forsberg, Gustav Nyquist, Tomas Tatar

Gardien
#1 : John Gibson, #2 : Jimmy Howard

Lignes d'Attaque Perso. en Prol.
Filip Forsberg, Henrik Zetterberg, , , , Gustav Nyquist, Gustav Nyquist, Luke Glendening, , , Tyler Johnson

Lignes de Défense Perso. en Prol.
, Jonathan Ericsson, Danny DeKeyser, ,

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	W	L	SOW	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	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	GF%	SH%	SV%	PDO	PDOBRK
1	Blackhawks	1	0	0	1	2	1	1	2	1.000	2	2	4	0	1	0	2	35	13	14	8	4	32	17	8	21	0	0	0.00%	4	0	100.00%	27	62	43.55%	34	68	50.00%	20	51	39.22%	25	17	24	8	15	7	66.7%	5.7%	96.9%	102.6	DULL
2	Blues	1	0	1	0	2	3	-1	0	0.000	2	2	4	1	0	1	0	27	12	9	6	0	38	15	0	20	2	0	0.00%	0	0	0.00%	27	62	43.55%	34	68	50.00%	20	51	39.22%	21	14	24	7	13	7	40.0%	7.4%	92.1%	99.5	DULL
3	Flames	1	1	0	0	7	1	6	2	1.000	7	12	19	3	1	3	0	40	15	13	12	0	28	14	2	22	3	2	66.67%	1	1	0.00%	27	62	43.55%	34	68	50.00%	20	51	39.22%	25	18	21	6	13	7	100.0%	17.5%	96.4%	113.9	LUCKY
	Since Last GM Reset	4	2	1	1	13	6	7	6	0.750	13	20	33	4	3	5	2	132	45	53	34	4	128	57	12	84	7	3	42.86%	6	2	66.67%	27	62	43.55%	34	68	50.00%	20	51	39.22%	89	60	96	30	58	29	71.4%	9.8%	95.3%	105.2	LUCKY
	Total	4	2	1	1	13	6	7	6	0.750	13	20	33	4	3	5	2	132	45	53	34	4	128	57	12	84	7	3	42.86%	6	2	66.67%	27	62	43.55%	34	68	50.00%	20	51	39.22%	89	60	96	30	58	29	71.4%	9.8%	95.3%	105.2	LUCKY
	Vs Conference	4	2	1	1	13	6	7	6	0.750	13	20	33	4	3	5	2	132	45	53	34	4	128	57	12	84	7	3	42.86%	6	2	66.67%	27	62	43.55%	34	68	50.00%	20	51	39.22%	89	60	96	30	58	29	71.4%	9.8%	95.3%	105.2	LUCKY
	Vs Division	4	2	1	1	13	6	7	6	0.750	13	20	33	4	3	5	2	132	45	53	34	4	128	57	12	84	7	3	42.86%	6	2	66.67%	27	62	43.55%	34	68	50.00%	20	51	39.22%	89	60	96	30	58	29	71.4%	9.8%	95.3%	105.2	LUCKY
8	Wild	1	1	0	0	2	1	1	2	1.000	2	4	6	0	1	1	0	30	5	17	8	0	30	11	2	21	2	1	50.00%	1	1	0.00%	27	62	43.55%	34	68	50.00%	20	51	39.22%	17	10	26	8	15	7	100.0%	6.7%	96.7%	103.3	DULL

			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	6	L1	13	20	33	132	128	57	12	84	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	0	1	0	13	6

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	0	0	1	0	4	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	9	2

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	1	0	0	1	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
7	3	42.86%	6	2	66.67%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
45	53	34	4	4	3	5	2

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
27	62	43.55%	34	68	50.00%	20	51	39.22%

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
89	60	96	30	58	29

Derniers Match Joués

Astuces sur les Filtres (Anglais seulement)

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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Fri, Nov 22	@	Red Wings2,Wild1	RECAP
Sun, Nov 24	@	Blackhawks1,Red Wings2 (SO)	RECAP
Tue, Nov 26	@	Red Wings7,Flames1	RECAP
Wed, Nov 27	@	Blues3,Red Wings2	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	80	38	33	18	165
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
70,200,000$	13,302,500$	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$	14,755,925$	14,755,925$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Henrik Zetterberg	AGE:37	PO:0	OV:74
Filip Forsberg	AGE:23	PO:0	OV:72
Gustav Nyquist	AGE:28	PO:0	OV:69
Tomas Tatar	AGE:26	PO:0	OV:69
Darren Helm	AGE:30	PO:0	OV:66
*Andreas Athanasiou	AGE:23	PO:0	OV:64
Melker Karlsson	AGE:27	PO:0	OV:64
Magnus Paajarvi	AGE:26	PO:0	OV:62
Landon Ferraro	AGE:25	PO:0	OV:58
Brendan Ranford	AGE:25	PO:0	OV:57
Patrice Cormier	AGE:27	PO:0	OV:57
*Teemu Pulkkinen	AGE:25	PO:0	OV:56
*Tyler Bertuzzi	AGE:22	PO:0	OV:56
*Markus Hannikainen	AGE:24	PO:0	OV:55
Mitch Callahan	AGE:26	PO:0	OV:53
Nick Saracino	AGE:25	PO:0	OV:50

Henrik Zetterberg	AGE:37	PO:0	OV:74
Frans Nielsen	AGE:33	PO:0	OV:71
Tyler Johnson	AGE:27	PO:0	OV:70
Gustav Nyquist	AGE:28	PO:0	OV:69
Victor Rask	AGE:24	PO:0	OV:69
Tomas Tatar	AGE:26	PO:0	OV:69
Darren Helm	AGE:30	PO:0	OV:66
*William Nylander	AGE:21	PO:0	OV:66
Luke Glendening	AGE:28	PO:0	OV:66
*Andreas Athanasiou	AGE:23	PO:0	OV:64
Andrej Nestrasil	AGE:26	PO:0	OV:58
Landon Ferraro	AGE:25	PO:0	OV:58
Patrice Cormier	AGE:27	PO:0	OV:57
*Lucas Wallmark	AGE:22	PO:0	OV:56
*Dominic Turgeon	AGE:21	PO:0	OV:55
*Joseph LaBate	AGE:24	PO:0	OV:55
*Jean-Sebastien Dea	AGE:23	PO:0	OV:55
*Alex Tuch	AGE:21	PO:0	OV:54
Nick Saracino	AGE:25	PO:0	OV:50
*Tony Cameranesi	AGE:24	PO:0	OV:49

Filip Forsberg	AGE:23	PO:0	OV:72
Tomas Tatar	AGE:26	PO:0	OV:69
Darren Helm	AGE:30	PO:0	OV:66
*William Nylander	AGE:21	PO:0	OV:66
Luke Glendening	AGE:28	PO:0	OV:66
Magnus Paajarvi	AGE:26	PO:0	OV:62
*Sven Andrighetto	AGE:24	PO:0	OV:62
Nick Deslauriers	AGE:26	PO:0	OV:60
Landon Ferraro	AGE:25	PO:0	OV:58
Brendan Ranford	AGE:25	PO:0	OV:57
*Tomas Jurco	AGE:24	PO:0	OV:57
Mitch Callahan	AGE:26	PO:0	OV:53

Défense #1

Défense #2

Gardien

P.K. Subban	AGE:28	PO:0	OV:76
Mike Green	AGE:32	PO:0	OV:75
Alexander Edler	AGE:31	PO:0	OV:74
Danny DeKeyser	AGE:27	PO:0	OV:71
Jonathan Ericsson	AGE:33	PO:0	OV:69
*Nick Jensen	AGE:27	PO:0	OV:68
Darnell Nurse	AGE:22	PO:0	OV:67
*Scott Mayfield	AGE:25	PO:0	OV:60
Griffin Reinhart	AGE:23	PO:0	OV:57

Andrew Bodnarchuk	AGE:29	PO:0	OV:55
David Musil	AGE:24	PO:0	OV:55
Jaime Sifers	AGE:34	PO:0	OV:55
Kenney Morrison	AGE:25	PO:0	OV:53
Julien Brouillette	AGE:30	PO:0	OV:53
Paul Geiger	AGE:25	PO:0	OV:53
Bryce Aneloski	AGE:27	PO:0	OV:53
Patrick Mullen	AGE:31	PO:0	OV:53

*John Gibson	AGE:24	PO:0	OV:81
Jimmy Howard	AGE:33	PO:0	OV:79
*Kristers Gudlevskis	AGE:25	PO:0	OV:67
*Jean-Francois Berube	AGE:25	PO:0	OV:67
Marek Mazanec	AGE:26	PO:0	OV:66
Tom McCollum	AGE:28	PO:0	OV:61
Mac Carruth	AGE:25	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
Adam Smith	Red Wings	2016	216
Alex Dostie	Red Wings	2015	169
Brandon Gignac	Red Wings	2016	78
Brayden Chizen	Red Wings	2016	227
Brent Pedersen	Red Wings	2013	170
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
Dylan Samberg	Red Wings	2017	74
Evan Fitzpatrick	Red Wings	2016	47
Givani Smith	Red Wings	2016	72
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
Jonas Rondbjerg	Red Wings	2017	97
Kasper Kotkansalo	Red Wings	2017	89
Logan McVeigh	Red Wings	2013	164
Logan Stanley	Red Wings	2016	49
Marcus Karlstrom	Red Wings	2013	194
Mathieu Joseph	Red Wings	2015	190
Matt Filipe	Red Wings	2016	159
Mattias Elfstrom	Red Wings	2016	214
Oskari Laaksonen	Red Wings	2017	180
Ryan Collins	Red Wings	2014	69
Sondre Olden	Red Wings
Tim McGauley	Red Wings	2015	221
Troy Vance	Red Wings	2011	162
Wouter Peeters	Red Wings	2016	146
Zach Nastiuk	Red Wings
missed pick	Red Wings	2017	187
missed pick	Red Wings	2017	188

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2018	DET	DET	CGY DET NYR	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
2022	DET	DET	DET	DET	DET	DET	DET

[08.10.2017 10:42:21] - General Manager Change : Red Wings hired general manager Tomas Pliva
[08.10.2017 10:42:21] - General Manager Change : Red Wings fired general manager Jan Palek
[05.10.2017 5:58:18] - Red Wings drafts missed pick as the #188 overall pick in the Entry Draft of year 2017.
[05.10.2017 5:58:16] - Red Wings drafts missed pick as the #187 overall pick in the Entry Draft of year 2017.
[03.10.2017 10:13:21] - Red Wings drafts Oskari Laaksonen as the #180 overall pick in the Entry Draft of year 2017.
[03.10.2017 9:58:36] - TRADE : From Red Wings to Panthers : Y:2017-RND:6-CBJ.
[03.10.2017 9:58:36] - TRADE : From Panthers to Red Wings : 2 000 000 Kč (Money), Y:2017-RND:6-EDM.
[03.10.2017 9:55:55] - TRADE : From Red Wings to Kings : Y:2017-RND:6-DET.
[03.10.2017 9:55:55] - TRADE : From Kings to Red Wings : 6 000 000 Kč (Money).
[02.10.2017 22:30:05] - Julien Brouillette was added to Red Wings.
[02.10.2017 22:29:46] - Paul Ranger was released.
[02.10.2017 22:29:46] - Red Wings paid 0 Kč to release Paul Ranger.
[02.10.2017 22:28:20] - Nick Saracino was added to Red Wings.
[02.10.2017 22:28:17] - Patrick Mullen was added to Red Wings.
[02.10.2017 22:28:14] - Paul Ranger was added to Red Wings.
[02.10.2017 22:28:12] - Paul Geiger was added to Red Wings.
[02.10.2017 22:28:06] - Bryce Aneloski was added to Red Wings.
[02.10.2017 22:27:55] - Jaime Sifers was added to Red Wings.
[02.10.2017 22:27:49] - Andrew Bodnarchuk was added to Red Wings.
[22.09.2017 5:08:59] - Red Wings drafts Jonas Rondbjerg as the #97 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:51:16] - Red Wings drafts Kasper Kotkansalo as the #89 overall pick in the Entry Draft of year 2017.
[16.09.2017 16:48:27] - Red Wings drafts Dylan Samberg as the #74 overall pick in the Entry Draft of year 2017.

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
2017	4	2	1	0	0	0	1	0	13	6	7	2	0	1	0	0	0	1	0	4	4	0	2	2	0	0	0	0	0	0	9	2	7	6	13	20	33	0	0	4	3	5	2	132	45	53	34	4	128	57	12	84	7	3	42.86%	6	2	66.67%	0	27	62	43.55%	34	68	50.00%	20	51	39.22%	89	60	96	30	58	29
Total Saison Régulière	4	2	1	0	0	0	1	0	13	6	7	2	0	1	0	0	0	1	0	4	4	0	2	2	0	0	0	0	0	0	9	2	7	6	13	20	33	0	0	4	3	5	2	132	45	53	34	4	128	57	12	84	7	3	42.86%	6	2	66.67%	0	27	62	43.55%	34	68	50.00%	20	51	39.22%	89	60	96	30	58	29