Stanley Cup Winners Hockey League

BROOKLYN Wolfpack
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière
Client Web pour Formation
Client Web pour Lignes

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Jack Eichel	0	X				100.00	64	39	82	86	81	87	89	84	88	85	83	63	89	67	86	88	80	80	0
2	Brad Marchand	0		X			100.00	64	49	61	83	66	85	88	82	59	91	83	76	82	80	77	41	89	80	0
3	Rickard Rakell	0	X				100.00	77	43	86	79	74	85	83	78	58	76	73	68	77	74	73	66	89	77	0
4	Phil Kessel	0			X		100.00	52	38	84	86	75	83	89	82	53	81	74	60	79	82	77	54	89	77	0
5	Dustin Brown	0			X		100.00	86	49	85	73	76	85	87	71	53	74	75	68	72	86	77	43	89	77	0
6	Anthony Mantha	0			X		100.00	73	52	79	76	96	88	84	74	58	77	80	59	76	71	69	78	82	77	0
7	David Krejci	0	X				100.00	57	42	86	77	72	83	86	76	85	83	72	63	76	84	77	36	82	76	0
8	Vladislav Namestnikov	0	X				100.00	83	42	75	73	71	79	86	72	58	69	71	82	73	75	67	66	89	75	0
9	Josh Bailey	0			X		100.00	54	43	89	75	77	82	89	76	73	79	69	66	77	79	73	67	90	75	0
10	James van Riemsdyk	0		X			100.00	57	42	89	75	87	81	83	74	56	73	78	59	76	79	73	71	89	75	0
11	Ryan Suter	0				X	100.00	67	49	84	72	82	93	89	71	30	84	67	81	57	85	81	46	81	79	0
12	Ryan McDonagh	0				X	100.00	73	43	84	72	80	87	84	71	30	78	63	90	55	79	77	66	89	77	0
13	Matt Dumba	0				X	100.00	81	45	74	78	70	88	79	77	30	76	74	73	62	71	75	83	82	77	0
14	Andy Greene	0				X	100.00	64	39	88	63	71	86	87	62	30	74	58	90	52	88	93	26	88	75	0
15	Scott Mayfield	0				X	100.00	80	59	69	65	94	85	87	63	30	71	61	83	52	75	69	64	82	75	0
Rayé
1	Andre Burakovsky	0		X			100.00	57	42	87	73	84	78	85	74	53	72	72	63	77	68	71	76	89	73	0
2	Ilya Mikheyev (R)	0			X		100.00	61	38	89	67	82	84	70	66	53	76	69	81	67	71	65	48	99	73	0
3	Jordan Martinook	0		X			100.00	86	39	80	66	74	76	83	65	79	64	63	78	65	75	67	56	78	72	0
4	Mattias Janmark	0	X	X			100.00	53	39	87	70	76	82	85	68	64	69	61	74	71	75	68	53	70	71	0
5	Alexander Kerfoot	0	X				100.00	58	38	79	71	67	82	86	69	79	73	66	59	68	71	67	48	80	70	0
6	Patrik Nemeth	0				X	100.00	81	46	76	63	89	85	87	62	30	69	53	86	45	75	69	62	82	73	0
7	Matt Roy	0				X	100.00	83	39	89	65	77	83	76	64	30	72	61	75	52	69	65	46	99	72	0

	MOYENNE D'ÉQUIPE					100.00	69	43	82	73	78	84	85	72	54	76	69	73	68	76	73	58	86	75

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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	Andrei Vasilevskiy	100.00	98	95	93	87	97	96	98	97	96	98	97	71	75	79	84	84	0
Rayé
1	Petr Mrazek	100.00	93	95	93	75	92	91	93	92	91	93	92	75	81	58	89	80	0

	MOYENNE D'ÉQUIPE	100.00	96	95	93	81	95	94	96	95	94	96	95	73	78	69	87	82

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Laviolette	75	83	83	76	90	90	58	USA	56	1	1,100,000$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Alexander Kerfoot	NEW YORK Rangers	C	25	1994-08-11	No	84 Kg	178 CM	No	No	No	4	Pro & Farm	2,600,000$	2,600,000$	2,600,000$	2,600,000$	2,600,000$	2,600,000$	No	2,600,000$	2,600,000$	2,600,000$			Lien
Andre Burakovsky	NEW YORK Rangers	LW	24	1995-02-09	No	91 Kg	191 CM	No	No	No	4	Pro & Farm	2,600,000$	2,600,000$	2,600,000$	2,600,000$	2,600,000$	2,600,000$	No	2,600,000$	2,600,000$	2,600,000$			Lien
Andrei Vasilevskiy	NEW YORK Rangers	G	25	1994-07-25	No	98 Kg	191 CM	No	No	No	2	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$					Lien
Andy Greene	NEW YORK Rangers	D	36	1982-10-30	No	86 Kg	180 CM	No	No	No	1	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No						Lien
Anthony Mantha	NEW YORK Rangers	RW	24	1994-09-16	No	106 Kg	196 CM	No	No	No	2	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$					Lien
Brad Marchand	NEW YORK Rangers	LW	31	1988-05-11	No	82 Kg	175 CM	No	No	No	2	Pro & Farm	5,750,000$	5,750,000$	5,750,000$	5,750,000$	5,750,000$	5,750,000$	No	5,750,000$					Lien
David Krejci	NEW YORK Rangers	C	33	1986-04-28	No	85 Kg	183 CM	No	No	No	4	Pro & Farm	6,700,000$	6,700,000$	6,700,000$	6,700,000$	6,700,000$	6,700,000$	No	6,700,000$	6,700,000$	6,700,000$			Lien
Dustin Brown	NEW YORK Rangers	RW	34	1984-11-04	No	95 Kg	183 CM	No	No	No	4	Pro & Farm	5,875,000$	5,875,000$	5,875,000$	5,875,000$	5,875,000$	5,875,000$	No	5,875,000$	5,875,000$	5,875,000$			Lien
Ilya Mikheyev	NEW YORK Rangers	RW	24	1994-10-10	Yes	89 Kg	191 CM	No	No	No	4	Pro & Farm	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	750,000$	750,000$	750,000$
Jack Eichel	NEW YORK Rangers	C	22	1996-10-28	No	92 Kg	188 CM	No	No	No	5	Pro & Farm	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$	No	8,500,000$	8,500,000$	8,500,000$	8,500,000$		Lien
James van Riemsdyk	NEW YORK Rangers	LW	30	1989-05-04	No	99 Kg	191 CM	No	No	No	4	Pro & Farm	5,900,000$	5,900,000$	5,900,000$	5,900,000$	5,900,000$	5,900,000$	No	5,900,000$	5,900,000$	5,900,000$			Lien
Jordan Martinook	NEW YORK Rangers	LW	27	1992-07-25	No	89 Kg	183 CM	No	No	No	3	Pro & Farm	1,600,000$	1,600,000$	1,600,000$	1,600,000$	1,600,000$	1,600,000$	No	1,600,000$	1,600,000$				Lien
Josh Bailey	NEW YORK Rangers	RW	29	1989-10-02	No	91 Kg	185 CM	No	No	No	2	Pro & Farm	4,290,000$	4,290,000$	4,290,000$	4,290,000$	4,290,000$	4,290,000$	No	4,290,000$					Lien
Matt Dumba	NEW YORK Rangers	D	25	1994-07-25	No	82 Kg	183 CM	No	No	No	2	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$					Lien
Matt Roy	NEW YORK Rangers	D	24	1995-03-01	No	91 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No						Lien
Mattias Janmark	NEW YORK Rangers	C/LW	26	1992-12-08	No	89 Kg	185 CM	No	No	No	1	Pro & Farm	2,100,000$	2,100,000$	2,100,000$	2,100,000$	2,100,000$	2,100,000$	No						Lien
Patrik Nemeth	NEW YORK Rangers	D	27	1992-02-08	No	104 Kg	191 CM	No	No	No	5	Pro & Farm	2,400,000$	2,400,000$	2,400,000$	2,400,000$	2,400,000$	2,400,000$	No	2,400,000$	2,400,000$	2,400,000$	2,400,000$		Lien
Petr Mrazek	NEW YORK Rangers	G	27	1992-02-14	No	86 Kg	185 CM	No	No	No	6	Pro & Farm	2,600,000$	2,600,000$	2,600,000$	2,600,000$	2,600,000$	2,600,000$	No	2,600,000$	2,600,000$	2,600,000$	2,600,000$	2,600,000$	Lien
Phil Kessel	NEW YORK Rangers	RW	31	1987-10-02	No	92 Kg	183 CM	No	No	No	3	Pro & Farm	5,700,000$	5,700,000$	5,700,000$	5,700,000$	5,700,000$	5,700,000$	No	5,700,000$	5,700,000$				Lien
Rickard Rakell	NEW YORK Rangers	C	26	1993-05-05	No	89 Kg	183 CM	No	No	No	1	Pro & Farm	3,200,000$	3,200,000$	3,200,000$	3,200,000$	3,200,000$	3,200,000$	No						Lien
Ryan McDonagh	NEW YORK Rangers	D	30	1989-06-13	No	97 Kg	185 CM	No	No	No	3	Pro & Farm	5,750,000$	5,750,000$	5,750,000$	5,750,000$	5,750,000$	5,750,000$	No	5,750,000$	5,750,000$				Lien
Ryan Suter	NEW YORK Rangers	D	34	1985-01-21	No	94 Kg	188 CM	No	No	No	5	Pro & Farm	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$		Lien
Scott Mayfield	NEW YORK Rangers	D	26	1992-10-14	No	101 Kg	196 CM	No	No	No	3	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	1,500,000$	1,500,000$				Lien
Vladislav Namestnikov	NEW YORK Rangers	C	26	1992-11-22	No	83 Kg	183 CM	No	No	No	1	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No						Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	27.75	91 Kg	185 CM	3.00	3,856,875$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
92,565,000$	80,015,000$	58,975,000$	44,425,000$	20,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brad Marchand	Jack Eichel	Phil Kessel	32	0	1	4
2	Anthony Mantha	David Krejci	James van Riemsdyk	26	0	1	4
3		Josh Bailey	Dustin Brown	22	1	2	2
4	Brad Marchand	Jack Eichel	Phil Kessel	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Matt Dumba	31	1	2	2
2	Ryan McDonagh	Andy Greene	26	1	2	2
3	Scott Mayfield		23	1	2	2
4	Ryan Suter	Ryan McDonagh	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brad Marchand	Jack Eichel	Phil Kessel	55	0	1	4
2	James van Riemsdyk	David Krejci	Anthony Mantha	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Matt Dumba	55	1	2	2
2	Ryan McDonagh	Andy Greene	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jack Eichel	Dustin Brown	55	1	3	1
2	David Krejci	Vladislav Namestnikov	45	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Andy Greene	55	1	3	1
2	Ryan Suter	Ryan McDonagh	45	1	3	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jack Eichel	55	1	2	2		Andy Greene	55	1	2	2
2	Vladislav Namestnikov	45	1	2	2	Ryan Suter	Ryan McDonagh	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jack Eichel	Brad Marchand	55	1	2	2
2	David Krejci	Phil Kessel	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andy Greene		55	1	2	2
2	Ryan McDonagh	Ryan Suter	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brad Marchand	Jack Eichel	Phil Kessel	Ryan Suter	Ryan McDonagh

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vladislav Namestnikov	David Krejci	Dustin Brown	Andy Greene

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jack Eichel, Brad Marchand, Phil Kessel	Jack Eichel, Brad Marchand	Dustin Brown

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan Suter, Matt Dumba, Ryan McDonagh	Ryan Suter	Andy Greene,

Tirs de Pénalité
James van Riemsdyk, Phil Kessel, Brad Marchand, Anthony Mantha, Jack Eichel

Gardien
#1 : Andrei Vasilevskiy, #2 :

Lignes d'Attaque Perso. en Prol.
Jack Eichel, Brad Marchand, Phil Kessel, David Krejci, James van Riemsdyk, Josh Bailey, Josh Bailey, , Anthony Mantha, Dustin Brown, Rickard Rakell

Lignes de Défense Perso. en Prol.
Ryan Suter, Ryan McDonagh, Matt Dumba, Andy Greene,

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	5000	1000
Prix des Billets	150	120	95	94	300
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$	19000	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$	92,565,000$	92,565,000$	0$	0$

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

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

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	62,799,991$	62,799,991$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Brad Marchand	AGE:31	PO:41	OV:80
James van Riemsdyk	AGE:30	PO:71	OV:75
Andre Burakovsky	AGE:24	PO:76	OV:73
Jordan Martinook	AGE:27	PO:56	OV:72
Mattias Janmark	AGE:26	PO:53	OV:71
Jujhar Khaira	AGE:25	PO:64	OV:70
Morgan Klimchuk	AGE:24	PO:76	OV:64
Kerby Rychel	AGE:24	PO:80	OV:61

Jack Eichel	AGE:22	PO:88	OV:80
Rickard Rakell	AGE:26	PO:66	OV:77
David Krejci	AGE:33	PO:36	OV:76
Vladislav Namestnikov	AGE:26	PO:66	OV:75
Nick Cousins	AGE:26	PO:56	OV:71
Mattias Janmark	AGE:26	PO:53	OV:71
Alexander Kerfoot	AGE:25	PO:48	OV:70
Adam Musil	AGE:22	PO:44	OV:56

Anthony Mantha	AGE:24	PO:78	OV:77
Phil Kessel	AGE:31	PO:54	OV:77
Dustin Brown	AGE:34	PO:43	OV:77
Josh Bailey	AGE:29	PO:67	OV:75
*Ilya Mikheyev	AGE:24	PO:48	OV:73
Joey Anderson	AGE:21	PO:66	OV:64

Défense #1

Défense #2

Gardien

Ryan Suter	AGE:34	PO:46	OV:79
Matt Dumba	AGE:25	PO:83	OV:77
Ryan McDonagh	AGE:30	PO:66	OV:77
Scott Mayfield	AGE:26	PO:64	OV:75
Andy Greene	AGE:36	PO:26	OV:75

Patrik Nemeth	AGE:27	PO:62	OV:73
Matt Roy	AGE:24	PO:46	OV:72
Ethan Bear	AGE:22	PO:58	OV:70
Scott Harrington	AGE:26	PO:57	OV:70
Julius Honka	AGE:23	PO:82	OV:63

Andrei Vasilevskiy	AGE:25	PO:79	OV:84
Petr Mrazek	AGE:27	PO:58	OV:80
Andrew Hammond	AGE:31	PO:53	OV:69

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
Anatoly Golyshev	NEW YORK Rangers	27	29
Andrei Mironov	NEW YORK Rangers
Antoine Waked	NEW YORK Rangers	29	118
Arseny Gritsyuk	NEW YORK Rangers	33	92
Brady Keeper	NEW YORK Rangers	33	131
Brandon Gormley	NEW YORK Rangers
Brandon Saigeon	NEW YORK Rangers	31	144
C.J. Smith	NEW YORK Rangers	31	170
Cameron Morrison	NEW YORK Rangers	28	39
Casey DeSmith	NEW YORK Rangers	31	118
Daniel Yurtaikin	NEW YORK Rangers	33	150
Darren Raddysh	NEW YORK Rangers	29	66
David Gustafsson	NEW YORK Rangers	31	54
Denis Gilbert	NEW YORK Rangers	25	71
Dennis Yan	NEW YORK Rangers	26	31
Dylan Blujus	NEW YORK Rangers
Eric Roy	NEW YORK Rangers	21	68
Ethan Werek	NEW YORK Rangers
Fabrice Herzog	NEW YORK Rangers	22	51
J.J. Piccinich	NEW YORK Rangers	23	75
Jake Bishoff	NEW YORK Rangers	33	176
Jake Kielly	NEW YORK Rangers	33	164
Jan Kovar	NEW YORK Rangers	29	144
Jason Kasdorf	NEW YORK Rangers
Jean-christophe Beaudin	NEW YORK Rangers	25	54
Joel Kellman	NEW YORK Rangers	29	170
Joey Laleggia	NEW YORK Rangers	19	91
Johnathan MacLeod	NEW YORK Rangers	23	49
Luke Stevens	NEW YORK Rangers	26	75
Martin Dzierkal	NEW YORK Rangers
Matthew Spencer	NEW YORK Rangers	26	28
Mattias Samuelsson	NEW YORK Rangers	31	52
Michael Bunting	NEW YORK Rangers	23	101
Mitchell Heard	NEW YORK Rangers
Nathan Noel	NEW YORK Rangers	27	55
Nico Sturm	NEW YORK Rangers	33	98
Pavel Kraskovsky	NEW YORK Rangers	24	68
Petr Straka	NEW YORK Rangers
Raphael Diaz	NEW YORK Rangers
Ryan Sukuzi	NEW YORK Rangers	33	20
Semyon Der-Arguchintsev	NEW YORK Rangers	31	93
Sergei Kostitsyn	NEW YORK Rangers
Sheldon Dries	NEW YORK Rangers	31	128
Tyler Shattock	NEW YORK Rangers
Vaclav Karabacek	NEW YORK Rangers	23	23
Vitali Kravtsov	NEW YORK Rangers	31	14
Vladimir Bobylev	NEW YORK Rangers	28	91
Zachary Stepan	NEW YORK Rangers	20	66

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
34		NYR	NYR	VGK	DET NYR BOS	NYR	PHI NYR
35	NYR	NYR	NYR	NYR	NYR	NYR	NYR
36	NYR	NYR	NYR	NYR	NYR	NYR	NYR
37		NYR	NYR	NYR	NYR	NYR	BOS NYR
38	NYR	NYR	NYR	NYR	NYR	NYR	NYR

[2020-06-15 20:26:39] - Ilya Mikheyev was added to NEW YORK Rangers.
[2020-06-15 09:24:17] - Andrei Mironov was released by NEW YORK Rangers
[2020-06-15 09:24:03] - Andrei Mironov has been added to NEW YORK Rangers.
[2020-06-15 09:23:39] - Brandon Gormley has been added to NEW YORK Rangers.
[2020-06-15 09:23:31] - Brandon Gormley was released by NEW YORK Rangers
[2020-05-22 18:55:17] - NEW YORK Rangers was eliminated at round 2 of year 33.
[2020-05-08 21:26:17] - BROOKLYN Wolfpack didn't make playoff for year 33.
[2020-04-03 19:39:03] - New Record for Team's Most Shots Blocked (28) in 1 Game for NEW YORK Rangers!
[2020-03-24 19:56:51] - TRADE : From VANCOUVER Canucks to NEW YORK Rangers : Mattias Janmark (70).
[2020-03-14 19:42:03] - TRADE : From NEW YORK Rangers to VANCOUVER Canucks : Mattias Janmark (70).
[2020-03-12 19:54:35] - TRADE : From ANAHEIM Ducks to NEW YORK Rangers : Brad Marchand (82).
[2020-03-12 19:54:35] - TRADE : From NEW YORK Rangers to ANAHEIM Ducks : Olivier Rodrigue (P), Kirill Kaprizov (P), Y:37-RND:1-NYR.
[2020-03-12 19:51:52] - TRADE : From MINNESOTA Wild to NEW YORK Rangers : Scott Mayfield (71), Y:34-RND:5-DET.
[2020-03-12 19:51:52] - TRADE : From NEW YORK Rangers to MINNESOTA Wild : Nick Leddy (72).
[2020-01-19 20:35:43] - TRADE : From NEW YORK Rangers to BOSTON Bruins : Valtteri Filppula (72), Y:34-RND:2-OTW, Y:34-RND:7-CGY.
[2020-01-19 20:35:43] - TRADE : From BOSTON Bruins to NEW YORK Rangers : James van Riemsdyk (76), Y:34-RND:4-VGK.
[2020-01-15 20:07:10] - Aaron Ness was released.
[2020-01-13 14:47:17] - Andy Greene was added to NEW YORK Rangers.
[2019-12-30 10:06:29] - Derek MacKenzie was released.
[2019-12-30 10:06:29] - Derek MacKenzie was forced to retire by NEW YORK Rangers
[2019-12-30 10:06:29] - Andy Greene was released.
[2019-12-30 10:06:29] - Andy Greene was forced to retire by NEW YORK Rangers
[2019-12-09 19:52:13] - NEW YORK Rangers was eliminated at round 2 of year 32.
[2019-11-27 20:51:02] - BROOKLYN Wolfpack didn't make playoff for year 32.
[2019-10-05 22:18:09] - TRADE : From NEW YORK Rangers to BOSTON Bruins : Jacob Josefson (65).
[2019-10-05 22:18:09] - TRADE : From BOSTON Bruins to NEW YORK Rangers : Adam Musil (56), Morgan Klimchuk (57), Y:37-RND:7-BOS.
[2019-08-24 20:49:40] - TRADE : From NEW YORK Rangers to BOSTON Bruins : Andrew MacDonald (67), Maxim Letunov (P), Jack Drury (P), Y:34-RND:4-NYR.
[2019-08-24 20:49:40] - TRADE : From BOSTON Bruins to NEW YORK Rangers : Dustin Brown (79), Y:34-RND:5-BOS.

[2020-07-05 20:53:29] (11 700 000 $) was added to NEW YORK Rangers bank account.
[2020-07-05 20:51:00] NEW YORK Rangers roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-06-15 20:26:42] NEW YORK Rangers roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-06-15 20:26:39] Ilya Mikheyev was added to NEW YORK Rangers.
[2020-06-15 09:24:17] Andrei Mironov was released by NEW YORK Rangers
[2020-06-15 09:24:03] Andrei Mironov has been added to NEW YORK Rangers.
[2020-06-15 09:23:39] Brandon Gormley has been added to NEW YORK Rangers.
[2020-06-15 09:23:31] Brandon Gormley was released by NEW YORK Rangers

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
33	82	45	26	0	5	2	4	0	284	202	82	41	24	14	0	1	1	1	0	138	94	44	41	21	12	0	4	1	3	0	146	108	38	110	284	508	792	3	8	101	91	83	11	2513	781	850	859	39	2363	710	633	1440	333	64	19.22%	277	45	83.75%	3	1460	2929	49.85%	1482	2860	51.82%	642	1288	49.84%	2029	1431	1903	597	1028	519
Total Saison Régulière	82	45	26	0	5	2	4	0	284	202	82	41	24	14	0	1	1	1	0	138	94	44	41	21	12	0	4	1	3	0	146	108	38	110	284	508	792	3	8	101	91	83	11	2513	781	850	859	39	2363	710	633	1440	333	64	19.22%	277	45	83.75%	3	1460	2929	49.85%	1482	2860	51.82%	642	1288	49.84%	2029	1431	1903	597	1028	519
Séries
33	11	6	5	0	0	0	0	0	34	27	7	6	3	3	0	0	0	0	0	20	19	1	5	3	2	0	0	0	0	0	14	8	6	12	34	58	92	0	3	12	12	9	1	308	105	102	93	8	364	96	114	195	37	5	13.51%	41	8	80.49%	1	184	364	50.55%	203	412	49.27%	76	167	45.51%	270	190	265	80	138	67
Total Séries	11	6	5	0	0	0	0	0	34	27	7	6	3	3	0	0	0	0	0	20	19	1	5	3	2	0	0	0	0	0	14	8	6	12	34	58	92	0	3	12	12	9	1	308	105	102	93	8	364	96	114	195	37	5	13.51%	41	8	80.49%	1	184	364	50.55%	203	412	49.27%	76	167	45.51%	270	190	265	80	138	67