Stanley Cup Winners Hockey League

BROOKLYN Wolfpack
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Stats d'équipe en Carrière
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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	Jack Eichel	0	X				100.00	66	35	81	84	80	94	90	83	90	89	80	65	82	61	58	90	96	79	0
2	Phil Kessel	0			X		100.00	57	35	75	82	75	89	95	81	66	88	77	60	79	90	67	54	89	79	0
3	Dustin Brown	0			X		100.00	80	35	81	76	76	94	85	75	50	77	75	72	75	95	69	44	96	79	0
4	David Krejci	0	X				100.00	59	35	78	80	72	88	94	79	88	87	70	62	75	84	65	40	96	77	0
5	James van Riemsdyk	0		X			100.00	61	35	78	77	87	86	79	76	69	73	84	60	80	77	63	73	94	76	0
6	Josh Bailey	0			X		100.00	58	38	77	76	80	86	95	75	79	80	68	60	72	82	65	69	96	75	0
7	Anthony Mantha	0			X		100.00	67	44	75	76	94	88	80	75	71	74	81	60	78	59	58	79	96	75	0
8	Rickard Rakell	0	X				100.00	69	41	76	74	78	90	82	73	61	75	71	64	72	65	60	74	96	74	0
9	Andre Burakovsky	0		X			100.00	60	35	75	77	84	77	89	72	61	72	77	62	67	63	54	79	96	73	0
10	Vladislav Namestnikov	0	X				100.00	76	35	72	69	71	84	91	68	69	71	66	72	67	64	54	68	96	72	0
11	Jordan Martinook	0		X			100.00	84	35	69	68	74	82	95	67	76	65	68	72	68	63	54	59	96	72	0
12	Alexander Kerfoot	0	X				100.00	58	35	74	72	65	82	91	71	80	74	68	61	70	56	52	47	96	70	0
13	Ryan Suter	0				X	100.00	66	38	82	74	82	95	95	73	30	78	64	81	74	93	68	46	96	79	0
14	Ryan McDonagh	0				X	100.00	69	35	79	73	80	90	95	72	30	76	67	86	75	74	62	68	96	77	0
15	Matt Dumba	0				X	100.00	77	44	82	76	71	93	66	75	30	69	89	76	87	64	59	84	96	75	0
16	Andy Greene	0				X	100.00	65	35	83	67	70	87	95	67	30	67	62	93	70	85	61	20	96	74	0
17	Nick Leddy	0				X	100.00	66	35	83	68	76	88	95	67	30	68	60	69	69	76	58	70	96	72	0
Rayé
1	Mattias Janmark	0	X	X			100.00	59	35	76	68	76	83	94	67	63	70	63	71	65	59	53	55	96	70	0
2	Patrik Nemeth	0				X	100.00	77	41	70	63	87	79	87	63	30	63	56	87	65	60	53	63	89	70	0

	MOYENNE D'ÉQUIPE					100.00	67	37	77	74	78	87	89	73	58	75	71	70	73	72	60	62	95	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	97	90	97	89	96	95	97	96	95	96	89	66	82	80	91	83	0
2	Petr Mrazek	100.00	92	82	84	75	91	90	92	91	90	91	84	67	80	47	96	78	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	95	86	91	82	94	93	95	94	93	94	87	67	81	64	94	81

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Laviolette	76	84	83	77	89	89	62	USA	56	2	1,188,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Jack Eichel	NEW YORK Rangers	C	6	5	7	12	9	0	10	22	19	5	22	26.32%	1	128	21.39	0	1	1	2	23	0	8	2	0	52.81%	178	1.87	2	1	1
2	Phil Kessel	NEW YORK Rangers	RW	6	4	4	8	7	0	2	5	15	3	13	26.67%	0	105	17.51	1	0	1	4	23	0	0	1	0	55.56%	9	1.52	1	1	0
3	Matt Dumba	NEW YORK Rangers	D	6	1	7	8	9	6	7	3	14	5	11	7.14%	1	114	19.03	0	1	1	10	24	0	0	0	0	0.00%	0	1.40	0	1	0
4	David Krejci	NEW YORK Rangers	C	6	2	5	7	1	0	3	15	18	1	11	11.11%	0	100	16.71	1	3	4	6	21	0	0	0	0	53.51%	114	1.40	0	0	0
5	Ryan Suter	NEW YORK Rangers	D	6	1	5	6	3	6	6	5	14	2	8	7.14%	7	153	25.63	1	0	1	11	24	0	9	0	0	0.00%	0	0.78	0	0	1
6	Andy Greene	NEW YORK Rangers	D	6	2	3	5	8	2	3	9	10	0	5	20.00%	6	124	20.69	2	1	3	7	18	0	16	0	0	0.00%	0	0.81	0	2	0
7	Ryan McDonagh	NEW YORK Rangers	D	6	0	5	5	2	2	16	5	10	7	13	0.00%	8	148	24.69	0	3	3	3	20	0	11	0	0	0.00%	0	0.68	0	0	0
8	James van Riemsdyk	NEW YORK Rangers	LW	6	2	2	4	6	2	4	4	17	3	6	11.76%	0	109	18.24	0	1	1	4	20	0	0	0	0	42.86%	7	0.73	0	0	0
9	Anthony Mantha	NEW YORK Rangers	RW	6	3	1	4	5	0	6	3	15	7	14	20.00%	1	102	17.15	0	0	0	2	22	0	0	1	0	71.43%	7	0.78	1	0	0
10	Jordan Martinook	NEW YORK Rangers	LW	6	3	0	3	1	2	6	13	12	1	3	25.00%	0	68	11.36	0	0	0	0	0	1	13	0	0	53.13%	32	0.88	0	0	0
11	Andre Burakovsky	NEW YORK Rangers	LW	6	1	1	2	0	2	2	4	5	1	6	20.00%	0	81	13.60	0	0	0	2	21	0	1	0	0	50.00%	4	0.49	0	0	0
12	Nick Leddy	NEW YORK Rangers	D	6	0	2	2	1	2	1	4	0	0	1	0.00%	4	93	15.65	0	0	0	0	1	0	8	0	0	0.00%	0	0.43	0	0	0
13	Dustin Brown	NEW YORK Rangers	RW	6	0	2	2	2	2	12	6	19	6	11	0.00%	1	92	15.35	0	0	0	3	1	0	13	0	0	33.33%	6	0.43	0	0	0
14	Vladislav Namestnikov	NEW YORK Rangers	C	6	0	1	1	1	4	3	4	4	5	9	0.00%	2	66	11.16	0	0	0	0	0	0	11	0	0	25.00%	4	0.30	0	0	0
15	Alexander Kerfoot	NEW YORK Rangers	C	6	0	1	1	1	0	0	6	11	1	4	0.00%	0	54	9.14	0	0	0	0	0	0	0	0	0	55.17%	58	0.36	0	0	0
16	Rickard Rakell	NEW YORK Rangers	C	6	1	0	1	1	4	5	4	7	1	6	14.29%	0	58	9.67	0	0	0	0	0	0	0	0	1	0.00%	6	0.34	0	0	0
17	Josh Bailey	NEW YORK Rangers	RW	6	0	1	1	0	0	6	6	8	1	6	0.00%	1	68	11.34	0	0	0	0	0	0	0	0	0	33.87%	62	0.29	0	0	0
18	Patrik Nemeth	NEW YORK Rangers	D	6	0	1	1	1	8	8	7	3	1	3	0.00%	7	85	14.28	0	0	0	0	0	0	4	0	0	0.00%	0	0.23	0	0	0
Stats d'équipe Total ou en Moyenne				108	25	48	73	58	42	100	125	201	50	152	12.44%	39	1755	16.26	5	10	15	54	223	1	99	4	1	49.90%	487	0.83	4	5	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	PCT	GAA	MP	SO	GA	SA	ST	BG	S3
1	Andrei Vasilevskiy	NEW YORK Rangers	6	4	2	0.923	1.89	349	1	11	143	6	0	3
2	Petr Mrazek	NEW YORK Rangers	1	0	0	1.000	0.00	10	0	0	3	0	6	0
Stats d'équipe Total ou en Moyenne			7	4	2	0.925	1.84	359	1	11	146	6	6	3

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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	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	80 Kg	178 CM	No	No	No	1	Pro & Farm	2,000,000$	1,857,142$	2,000,000$	1,857,142$	2,000,000$	1,857,143$	No						Lien
Andre Burakovsky	NEW YORK Rangers	LW	24	1995-02-09	No	91 Kg	191 CM	No	No	No	1	Pro & Farm	2,500,000$	2,321,428$	2,500,000$	2,321,428$	2,500,000$	2,321,429$	No						Lien
Andrei Vasilevskiy	NEW YORK Rangers	G	25	1994-07-25	No	98 Kg	193 CM	No	No	No	3	Pro & Farm	3,500,000$	3,250,000$	3,500,000$	3,250,000$	3,500,000$	3,250,000$	No	3,500,000$	3,500,000$				Lien
Andy Greene	NEW YORK Rangers	D	36	1982-10-30	No	86 Kg	180 CM	No	No	No	2	Pro & Farm	4,000,000$	3,714,285$	4,000,000$	3,714,285$	4,000,000$	3,714,286$	No	4,000,000$					Lien
Anthony Mantha	NEW YORK Rangers	RW	24	1994-09-16	No	102 Kg	196 CM	No	No	No	3	Pro & Farm	2,500,000$	2,321,428$	2,500,000$	2,321,428$	2,500,000$	2,321,429$	No	2,500,000$	2,500,000$				Lien
David Krejci	NEW YORK Rangers	C	33	1986-04-28	No	85 Kg	183 CM	No	No	No	5	Pro & Farm	6,700,000$	6,221,428$	6,700,000$	6,221,428$	6,700,000$	6,221,429$	No	6,700,000$	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	5	Pro & Farm	5,875,000$	5,455,357$	5,875,000$	5,455,357$	5,875,000$	5,455,357$	No	5,875,000$	5,875,000$	5,875,000$	5,875,000$		Lien
Jack Eichel	NEW YORK Rangers	C	22	1996-10-28	No	91 Kg	188 CM	No	No	No	6	Pro & Farm	8,500,000$	7,892,857$	8,500,000$	7,892,857$	8,500,000$	7,892,857$	No	8,500,000$	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	5	Pro & Farm	5,900,000$	5,478,571$	5,900,000$	5,478,571$	5,900,000$	5,478,571$	No	5,900,000$	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	4	Pro & Farm	1,600,000$	1,485,714$	1,600,000$	1,485,714$	1,600,000$	1,485,714$	No	1,600,000$	1,600,000$	1,600,000$			Lien
Josh Bailey	NEW YORK Rangers	RW	29	1989-10-02	No	96 Kg	185 CM	No	No	No	3	Pro & Farm	4,290,000$	3,983,571$	4,290,000$	3,983,571$	4,290,000$	3,983,571$	No	4,290,000$	4,290,000$				Lien
Matt Dumba	NEW YORK Rangers	D	25	1994-07-25	No	83 Kg	183 CM	No	No	No	3	Pro & Farm	5,000,000$	4,642,857$	5,000,000$	4,642,857$	5,000,000$	4,642,857$	No	5,000,000$	5,000,000$				Lien
Mattias Janmark	NEW YORK Rangers	C/LW	26	1992-12-08	No	89 Kg	185 CM	No	No	No	2	Pro & Farm	2,100,000$	1,950,000$	2,100,000$	1,950,000$	2,100,000$	1,950,000$	No	2,100,000$					Lien
Nick Leddy	NEW YORK Rangers	D	28	1991-03-20	No	94 Kg	183 CM	No	No	No	3	Pro & Farm	4,750,000$	4,410,714$	4,750,000$	4,410,714$	4,750,000$	4,410,714$	No	4,750,000$	4,750,000$				Lien
Patrik Nemeth	NEW YORK Rangers	D	27	1992-02-08	No	100 Kg	191 CM	No	No	No	1	Pro & Farm	1,500,000$	1,392,857$	1,500,000$	1,392,857$	1,500,000$	1,392,857$	No						Lien
Petr Mrazek	NEW YORK Rangers	G	27	1992-02-14	No	86 Kg	185 CM	No	No	No	1	Pro & Farm	2,500,000$	2,321,428$	2,500,000$	2,321,428$	2,500,000$	2,321,429$	No						Lien
Phil Kessel	NEW YORK Rangers	RW	31	1987-10-02	No	92 Kg	183 CM	No	No	No	4	Pro & Farm	5,700,000$	5,292,857$	5,700,000$	5,292,857$	5,700,000$	5,292,857$	No	5,700,000$	5,700,000$	5,700,000$			Lien
Rickard Rakell	NEW YORK Rangers	C	26	1993-05-05	No	92 Kg	185 CM	No	No	No	2	Pro & Farm	3,200,000$	2,971,428$	3,200,000$	2,971,428$	3,200,000$	2,971,429$	No	3,200,000$					Lien
Ryan McDonagh	NEW YORK Rangers	D	30	1989-06-13	No	98 Kg	185 CM	No	No	No	4	Pro & Farm	5,750,000$	5,339,285$	5,750,000$	5,339,285$	5,750,000$	5,339,286$	No	5,750,000$	5,750,000$	5,750,000$			Lien
Ryan Suter	NEW YORK Rangers	D	34	1985-01-21	No	95 Kg	188 CM	No	No	No	6	Pro & Farm	6,500,000$	6,035,714$	6,500,000$	6,035,714$	6,500,000$	6,035,714$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	Lien
Vladislav Namestnikov	NEW YORK Rangers	C	26	1992-11-22	No	84 Kg	183 CM	No	No	No	2	Pro & Farm	2,500,000$	2,321,428$	2,500,000$	2,321,428$	2,500,000$	2,321,429$	No	2,500,000$					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	28.05	92 Kg	185 CM	3.14	4,136,429$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
86,865,000$	78,365,000$	66,565,000$	46,525,000$	33,475,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	James van Riemsdyk	Jack Eichel	Phil Kessel	32	0	1	4
2	Anthony Mantha	David Krejci	Dustin Brown	26	0	1	4
3	Andre Burakovsky	Josh Bailey	Rickard Rakell	22	1	2	2
4	Jordan Martinook	Alexander Kerfoot	Vladislav Namestnikov	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Ryan McDonagh	31	1	2	2
2	Matt Dumba	Andy Greene	26	1	2	2
3	Nick Leddy		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	James van Riemsdyk	Jack Eichel	Phil Kessel	55	0	1	4
2	Anthony Mantha	David Krejci	Andre Burakovsky	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	Jordan Martinook	Dustin Brown	55	1	3	1
2	Jack Eichel	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	Andy Greene	45	1	3	1

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

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jack Eichel	James van Riemsdyk	55	1	2	2
2	David Krejci	Anthony Mantha	45	1	2	2

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

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
James van Riemsdyk	Jack Eichel	Phil Kessel	Ryan Suter	Ryan McDonagh

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vladislav Namestnikov	Jordan Martinook	Dustin Brown		Andy Greene

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jack Eichel, Phil Kessel, James van Riemsdyk	Jack Eichel, James van Riemsdyk	Dustin Brown

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

Tirs de Pénalité
James van Riemsdyk, Anthony Mantha, Jack Eichel, Andre Burakovsky, Matt Dumba

Gardien
#1 : Andrei Vasilevskiy, #2 : Petr Mrazek

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

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

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
1	ANAHEIM Ducks	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	2	0	1	0	33	3	9	21	0	25	6	12	22	2	0	0.00%	4	1	75.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	22	15	24	7	12	6
2	NEW JERSEY Devils	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	8	1	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	16	24	0	0	2	4	2	0	47	16	15	16	0	17	3	4	13	6	3	50.00%	2	0	100.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	30	21	16	6	13	7
3	OTTAWA Senators	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	1	0	0	0	26	7	9	10	0	33	8	8	18	2	0	0.00%	4	1	75.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	26	19	21	7	11	5
4	PHILADELPHIA Flyers	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	8	12	0	0	2	1	1	0	30	9	12	9	0	29	8	6	19	6	2	33.33%	1	0	100.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	25	18	21	7	13	7
5	TAMPA BAY Lightning	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	8	12	0	0	1	1	2	0	30	11	7	12	0	24	10	4	17	6	0	0.00%	2	1	50.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	26	18	21	7	12	6
6	TORONTO Maple Leafs	1	1	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	5	0	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	1	1	2	2	0	34	11	5	18	0	18	4	8	12	3	0	0.00%	2	0	100.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	26	19	21	7	11	6
	Total	6	4	2	0	0	0	0	0	25	11	14	3	2	1	0	0	0	0	0	14	3	11	3	2	1	0	0	0	0	0	11	8	3	8	0.667	25	48	73	0	1	9	8	8	0	200	57	57	86	0	146	39	42	101	25	5	20.00%	15	3	80.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	157	112	127	42	75	39
	_Since Last GM Reset	6	4	2	0	0	0	0	0	25	11	14	3	2	1	0	0	0	0	0	14	3	11	3	2	1	0	0	0	0	0	11	8	3	8	0.667	25	48	73	0	1	9	8	8	0	200	57	57	86	0	146	39	42	101	25	5	20.00%	15	3	80.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	157	112	127	42	75	39
	_Vs Conference	5	3	2	0	0	0	0	0	22	9	13	3	2	1	0	0	0	0	0	14	3	11	2	1	1	0	0	0	0	0	8	6	2	6	0.600	22	42	64	0	1	7	8	7	0	167	54	48	65	0	121	33	30	79	23	5	21.74%	11	2	81.82%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	135	97	102	35	62	33
	_Vs Division	2	2	0	0	0	0	0	0	12	2	10	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	4	1	3	4	1.000	12	24	36	0	0	4	5	3	0	77	25	27	25	0	46	11	10	32	12	5	41.67%	3	0	100.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	55	40	38	13	26	14

			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
6	8	W3	25	48	73	200	146	39	42	101	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	25	11

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	14	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	11	8

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	2	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
25	5	20.00%	15	3	80.00%	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
57	57	86	0	9	8	8	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
116	227	51.10%	85	185	45.95%	52	98	53.06%

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
157	112	127	42	75	39

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	Lien
1 - 2020-01-15	2	NEW YORK Rangers	3	ANAHEIM Ducks	2	W	Sommaire du Match
2 - 2020-01-16	19	OTTAWA Senators	2	NEW YORK Rangers	1	L	Sommaire du Match
3 - 2020-01-17	28	NEW YORK Rangers	4	TAMPA BAY Lightning	5	L	Sommaire du Match
5 - 2020-01-19	43	NEW JERSEY Devils	1	NEW YORK Rangers	8	W	Sommaire du Match
6 - 2020-01-20	57	TORONTO Maple Leafs	0	NEW YORK Rangers	5	W	Sommaire du Match
8 - 2020-01-22	74	NEW YORK Rangers	4	PHILADELPHIA Flyers	1	W	Sommaire du Match
9 - 2020-01-23	84	NEW YORK Rangers	-	QUEBEC Nordiques	-
10 - 2020-01-24	94	BOSTON Bruins	-	NEW YORK Rangers	-
11 - 2020-01-25	108	PHILADELPHIA Flyers	-	NEW YORK Rangers	-
12 - 2020-01-26	114	NEW YORK Rangers	-	WASHINGTON Capitals	-
13 - 2020-01-27	126	NEW YORK Rangers	-	TAMPA BAY Lightning	-
15 - 2020-01-29	146	DETROIT Red Wings	-	NEW YORK Rangers	-
17 - 2020-01-31	160	NEW YORK Rangers	-	ANAHEIM Ducks	-
18 - 2020-02-01	175	TAMPA BAY Lightning	-	NEW YORK Rangers	-
20 - 2020-02-03	189	NEW YORK Rangers	-	PITTSBURGH Penguins	-
21 - 2020-02-04	197	WINNIPEG Jets	-	NEW YORK Rangers	-
22 - 2020-02-05	211	NEW YORK Rangers	-	OTTAWA Senators	-
23 - 2020-02-06	221	NASHVILLE Predators	-	NEW YORK Rangers	-
25 - 2020-02-08	235	NEW YORK Rangers	-	WASHINGTON Capitals	-
26 - 2020-02-09	248	TAMPA BAY Lightning	-	NEW YORK Rangers	-
27 - 2020-02-10	264	DETROIT Red Wings	-	NEW YORK Rangers	-
29 - 2020-02-12	278	NEW YORK Rangers	-	QUEBEC Nordiques	-
30 - 2020-02-13	286	NEW YORK Rangers	-	ST-LOUIS Blues	-
31 - 2020-02-14	302	ST-LOUIS Blues	-	NEW YORK Rangers	-
32 - 2020-02-15	316	NEW YORK Rangers	-	ANAHEIM Ducks	-
33 - 2020-02-16	326	NEW JERSEY Devils	-	NEW YORK Rangers	-
34 - 2020-02-17	340	NEW YORK Rangers	-	VANCOUVER Canucks	-
35 - 2020-02-18	351	VANCOUVER Canucks	-	NEW YORK Rangers	-
37 - 2020-02-20	370	NEW YORK Rangers	-	EDMONTON Oilers	-
38 - 2020-02-21	379	TORONTO Maple Leafs	-	NEW YORK Rangers	-
39 - 2020-02-22	396	NEW YORK Rangers	-	PITTSBURGH Penguins	-
40 - 2020-02-23	404	NEW YORK Rangers	-	CHICAGO Blackhawks	-
41 - 2020-02-24	412	WASHINGTON Capitals	-	NEW YORK Rangers	-
43 - 2020-02-26	430	PITTSBURGH Penguins	-	NEW YORK Rangers	-
44 - 2020-02-27	443	NEW YORK Rangers	-	MINNESOTA Wild	-
46 - 2020-02-29	457	WINNIPEG Jets	-	NEW YORK Rangers	-
47 - 2020-03-01	474	BOSTON Bruins	-	NEW YORK Rangers	-
49 - 2020-03-03	487	NEW YORK Rangers	-	MONTREAL Canadiens	-
50 - 2020-03-04	499	NEW YORK Rangers	-	TAMPA BAY Lightning	-
51 - 2020-03-05	511	SEATTLE Totems	-	NEW YORK Rangers	-
52 - 2020-03-06	527	QUEBEC Nordiques	-	NEW YORK Rangers	-
53 - 2020-03-07	537	NEW YORK Rangers	-	DETROIT Red Wings	-
55 - 2020-03-09	555	PHILADELPHIA Flyers	-	NEW YORK Rangers	-
56 - 2020-03-10	566	NEW YORK Rangers	-	MONTREAL Canadiens	-
57 - 2020-03-11	579	QUEBEC Nordiques	-	NEW YORK Rangers	-
59 - 2020-03-13	593	NEW YORK Rangers	-	TAMPA BAY Lightning	-
60 - 2020-03-14	605	MONTREAL Canadiens	-	NEW YORK Rangers	-
62 - 2020-03-16	620	NEW YORK Rangers	-	CALGARY Flames	-
63 - 2020-03-17	629	NEW YORK Rangers	-	NEW JERSEY Devils	-
64 - 2020-03-18	639	VEGAS Golden Knights	-	NEW YORK Rangers	-
65 - 2020-03-19	657	CALGARY Flames	-	NEW YORK Rangers	-
66 - 2020-03-20	668	NEW YORK Rangers	-	NEW JERSEY Devils	-
67 - 2020-03-21	679	NEW YORK Rangers	-	NASHVILLE Predators	-
68 - 2020-03-22	691	MONTREAL Canadiens	-	NEW YORK Rangers	-
69 - 2020-03-23	707	CHICAGO Blackhawks	-	NEW YORK Rangers	-
70 - 2020-03-24	716	NEW YORK Rangers	-	BOSTON Bruins	-
72 - 2020-03-26	733	NEW YORK Rangers	-	OTTAWA Senators	-
73 - 2020-03-27	742	PITTSBURGH Penguins	-	NEW YORK Rangers	-
75 - 2020-03-29	762	COLORADO Avalanche	-	NEW YORK Rangers	-
76 - 2020-03-30	782	NEW YORK Islanders	-	NEW YORK Rangers	-
77 - 2020-03-31	794	NEW YORK Rangers	-	TORONTO Maple Leafs	-
78 - 2020-04-01	802	NEW YORK Rangers	-	PHILADELPHIA Flyers	-
79 - 2020-04-02	813	NEW YORK Rangers	-	VEGAS Golden Knights	-
80 - 2020-04-03	822	OTTAWA Senators	-	NEW YORK Rangers	-
82 - 2020-04-05	842	NEW YORK Rangers	-	COLORADO Avalanche	-
83 - 2020-04-06	846	WASHINGTON Capitals	-	NEW YORK Rangers	-
85 - 2020-04-08	865	NEW YORK Rangers	-	ARIZONA Coyotes	-
86 - 2020-04-09	873	ARIZONA Coyotes	-	NEW YORK Rangers	-
87 - 2020-04-10	886	NEW YORK Rangers	-	SEATTLE Totems	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11	899	SEATTLE Totems	-	NEW YORK Rangers	-
90 - 2020-04-13	914	NEW YORK Rangers	-	BOSTON Bruins	-
91 - 2020-04-14	923	NEW YORK Islanders	-	NEW YORK Rangers	-
92 - 2020-04-15	935	NEW YORK Rangers	-	WINNIPEG Jets	-
94 - 2020-04-17	951	MINNESOTA Wild	-	NEW YORK Rangers	-
95 - 2020-04-18	969	EDMONTON Oilers	-	NEW YORK Rangers	-
98 - 2020-04-21	994	OTTAWA Senators	-	NEW YORK Rangers	-
99 - 2020-04-22	996	NEW YORK Rangers	-	DETROIT Red Wings	-
100 - 2020-04-23	1010	NEW YORK Rangers	-	NEW YORK Islanders	-
103 - 2020-04-26	1025	NEW YORK Rangers	-	TORONTO Maple Leafs	-
104 - 2020-04-27	1030	ANAHEIM Ducks	-	NEW YORK Rangers	-
107 - 2020-04-30	1050	ANAHEIM Ducks	-	NEW YORK Rangers	-
108 - 2020-05-01	1054	NEW YORK Rangers	-	NEW YORK Islanders	-

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	14,452	11,516	4,989	10,982	1,891
Attendance PCT	80.29%	76.77%	83.15%	73.21%	63.03%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
38	14610 - 76.89%	2,624,199$	7,872,596$	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
6,259,146$	86,865,000$	86,865,000$	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
86,865,000$	6,174,283$	0$	21	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
99,719,549$	104	786,188$	81,763,552$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
82,867,815$	86,865,000$	41,250,246$	58,101,980$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

James van Riemsdyk	AGE:30	PO:73	OV:76
Andre Burakovsky	AGE:24	PO:79	OV:73
Jordan Martinook	AGE:27	PO:59	OV:72
Mattias Janmark	AGE:26	PO:55	OV:70
Jujhar Khaira	AGE:25	PO:65	OV:69
Kerby Rychel	AGE:24	PO:80	OV:61
Morgan Klimchuk	AGE:24	PO:78	OV:57

Jack Eichel	AGE:22	PO:90	OV:79
David Krejci	AGE:33	PO:40	OV:77
Rickard Rakell	AGE:26	PO:74	OV:74
Vladislav Namestnikov	AGE:26	PO:68	OV:72
Mattias Janmark	AGE:26	PO:55	OV:70
Alexander Kerfoot	AGE:25	PO:47	OV:70
Nick Cousins	AGE:26	PO:63	OV:69
Adam Musil	AGE:22	PO:44	OV:56

Phil Kessel	AGE:31	PO:54	OV:79
Dustin Brown	AGE:34	PO:44	OV:79
Anthony Mantha	AGE:24	PO:79	OV:75
Josh Bailey	AGE:29	PO:69	OV:75
*Joey Anderson	AGE:21	PO:66	OV:63

Défense #1

Défense #2

Gardien

Ryan Suter	AGE:34	PO:46	OV:79
Ryan McDonagh	AGE:30	PO:68	OV:77
Matt Dumba	AGE:25	PO:84	OV:75
Andy Greene	AGE:36	PO:20	OV:74
Nick Leddy	AGE:28	PO:70	OV:72
Patrik Nemeth	AGE:27	PO:63	OV:70

Scott Harrington	AGE:26	PO:67	OV:68
Julius Honka	AGE:23	PO:82	OV:63
*Matt Roy	AGE:24	PO:48	OV:61
*Andrei Mironov	AGE:25	PO:60	OV:56
Ethan Bear	AGE:22	PO:59	OV:56
Brandon Gormley	AGE:27	PO:63	OV:50

Andrei Vasilevskiy	AGE:25	PO:80	OV:83
Petr Mrazek	AGE:27	PO:47	OV:78
Andrew Hammond	AGE:31	PO:34	OV:67

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
Antoine Waked	NEW YORK Rangers	29	118
Arseny Gritsyuk	NEW YORK Rangers	33	92
Brady Keeper	NEW YORK Rangers	33	131
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
Ilya Mikheyev	NEW YORK Rangers	33	72
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
Kirill Kaprizov	NEW YORK Rangers	25	55
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
Olivier Rodrigue	NEW YORK Rangers	31	66
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	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	NYR	BOS NYR
38	NYR	NYR	NYR	NYR	NYR	NYR	NYR

[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.
[2019-07-24 20:36:12] - TRADE : From VANCOUVER Canucks to NEW YORK Rangers : Y:34-RND:7-CGY, Y:34-RND:7-PHI.
[2019-07-24 20:27:24] - Matt Roy was added to NEW YORK Rangers.
[2019-07-24 20:27:17] - Joey Anderson was added to NEW YORK Rangers.
[2019-07-24 20:14:08] - Jake Bishoff has been added to NEW YORK Rangers.
[2019-07-19 21:54:43] - Jake Kielly has been added to NEW YORK Rangers.
[2019-07-19 21:47:58] - Matt Roy has been added to NEW YORK Rangers.
[2019-07-19 21:46:42] - Daniel Yurtaikin has been added to NEW YORK Rangers.
[2019-07-19 21:39:12] - Brady Keeper has been added to NEW YORK Rangers.
[2019-07-10 21:28:35] - Nico Sturm has been added to NEW YORK Rangers.
[2019-07-10 21:25:59] - Arseny Gritsyuk has been added to NEW YORK Rangers.
[2019-07-10 21:16:20] - Ilya Mikheyev has been added to NEW YORK Rangers.
[2019-07-09 22:12:35] - Ryan Sukuzi has been added to NEW YORK Rangers.
[2019-06-27 17:57:19] - Henrik Zetterberg was released.
[2019-06-27 17:57:19] - Henrik Zetterberg was forced to retire by NEW YORK Rangers
[2019-06-11 19:55:56] - NEW YORK Rangers was eliminated at round 2 of year 32.
[2019-05-30 19:05:03] - BROOKLYN Wolfpack didn't make playoff for year 32.

[2020-01-26 19:55:03] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-01-26 19:55:03] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2020-01-25 19:56:33] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2020-01-25 19:56:33] Last 7 Days Pro Star : 1 - Jack Eichel of NEW YORK Rangers (5-6-11) / 2 - Jonathan Toews of DETROIT Red Wings (5-5-10) / 3 - Mark Scheifele of TAMPA BAY Lightning (2-7-9)
[2020-01-24 21:36:05] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-01-24 21:36:05] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2020-01-23 20:03:34] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-01-23 20:03:11] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-01-23 20:03:11] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2020-01-22 20:18:15] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2020-01-21 20:10:07] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-01-21 20:09:48] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-01-21 20:09:48] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2020-01-20 19:37:40] Patrik Nemeth from NEW YORK Rangers is back from Torso Injury.
[2020-01-20 19:37:40] Phil Kessel from NEW YORK Rangers is back from Left Leg Injury.
[2020-01-20 19:37:40] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-01-20 19:37:36] Game 19 - Patrik Nemeth from NEW YORK Rangers is injured (Torso) and is out for 2 days.
[2020-01-20 19:37:36] Game 19 - Phil Kessel from NEW YORK Rangers is injured (Left Leg) and is out for the game.
[2020-01-20 19:37:20] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-01-20 19:34:57] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-01-20 19:34:22] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[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.
[2020-01-19 20:01:43] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-01-18 18:07:50] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-01-15 20:07:10] Aaron Ness was released by NEW YORK Rangers.
[2020-01-13 14:47:26] NEW YORK Rangers roster errors : Not enough Left Wings available in Pro Team! 0 Dressed. 2 Required. Not enough Forward available in Pro Team! 6 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 3 Dressed. 5 Required. Not enough Players available in Pro Team! 9 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-01-13 14:47:17] Andy Greene was added to NEW YORK Rangers.
[2020-01-10 20:50:29] (18 500 000 $) was added to NEW YORK Rangers bank account.
[2020-01-10 20:46:47] NEW YORK Rangers roster errors : Not enough Left Wings available in Pro Team! 0 Dressed. 2 Required. Not enough Forward available in Pro Team! 6 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 3 Dressed. 5 Required. Not enough Players available in Pro Team! 9 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-01-05 12:57:04] BROOKLYN Wolfpack roster errors : Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[2020-01-05 12:57:04] NEW YORK Rangers roster errors : Not enough Left Wings available in Pro Team! 0 Dressed. 2 Required. Not enough Forward available in Pro Team! 6 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 3 Dressed. 5 Required. Not enough Players available in Pro Team! 9 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-12-30 10:06:29] Derek MacKenzie was released by NEW YORK Rangers.
[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 by NEW YORK Rangers.
[2019-12-30 10:06:29] Andy Greene was forced to retire by NEW YORK Rangers
[2019-12-09 19:52:13] Andre Burakovsky of NEW YORK Rangers was sent to farm.
[2019-12-09 19:52:07] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2019-12-09 19:52:07] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2019-12-09 19:52:07] Andre Burakovsky of NEW YORK Rangers was sent to pro.
[2019-12-08 22:17:34] Nick Leddy from NEW YORK Rangers is back from Left Leg Injury.
[2019-12-08 22:17:34] Nick Cousins of NEW YORK Rangers was sent to farm.
[2019-12-08 22:17:34] Andre Burakovsky of NEW YORK Rangers was sent to farm.
[2019-12-08 22:17:25] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2019-12-08 22:17:25] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2019-12-08 22:17:25] Nick Cousins of NEW YORK Rangers was sent to pro.
[2019-12-08 22:17:25] Andre Burakovsky of NEW YORK Rangers was sent to pro.
[2019-12-07 20:20:37] Andre Burakovsky of NEW YORK Rangers was sent to farm.
[2019-12-07 20:20:36] Game 66 - Nick Leddy from NEW YORK Rangers is injured (Left Leg) and is out for 5 days.
[2019-12-07 20:20:28] Auto Lines Partial Function has been run for 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
33	6	4	2	0	0	0	0	0	25	11	14	3	2	1	0	0	0	0	0	14	3	11	3	2	1	0	0	0	0	0	11	8	3	8	25	48	73	0	1	9	8	8	0	200	57	57	86	0	146	39	42	101	25	5	20.00%	15	3	80.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	157	112	127	42	75	39
Total Saison Régulière	6	4	2	0	0	0	0	0	25	11	14	3	2	1	0	0	0	0	0	14	3	11	3	2	1	0	0	0	0	0	11	8	3	8	25	48	73	0	1	9	8	8	0	200	57	57	86	0	146	39	42	101	25	5	20.00%	15	3	80.00%	0	116	227	51.10%	85	185	45.95%	52	98	53.06%	157	112	127	42	75	39
Séries
32	11	5	6	0	0	0	0	0	27	27	0	5	2	3	0	0	0	0	0	14	14	0	6	3	3	0	0	0	0	0	13	13	0	10	27	50	77	0	1	9	8	10	0	251	73	65	102	11	334	89	82	195	39	9	23.08%	38	10	73.68%	0	165	344	47.97%	193	413	46.73%	65	155	41.94%	271	192	274	81	137	67
Total Séries	11	5	6	0	0	0	0	0	27	27	0	5	2	3	0	0	0	0	0	14	14	0	6	3	3	0	0	0	0	0	13	13	0	10	27	50	77	0	1	9	8	10	0	251	73	65	102	11	334	89	82	195	39	9	23.08%	38	10	73.68%	0	165	344	47.97%	193	413	46.73%	65	155	41.94%	271	192	274	81	137	67