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	Brad Marchand	0		X			100.00	62	44	64	88	66	92	92	87	70	93	87	72	87	77	63	51	91	82	0
2	Jack Eichel	0	X				98.00	66	35	81	84	80	94	90	83	90	89	80	65	82	61	58	90	91	79	0
3	Phil Kessel	0			X		100.00	57	35	75	82	75	89	95	81	66	88	77	60	79	90	67	54	92	79	0
4	Dustin Brown	0			X		100.00	80	35	81	76	76	94	85	75	50	77	75	72	75	95	69	44	92	79	0
5	David Krejci	0	X				100.00	59	35	78	80	72	88	94	79	88	87	70	62	75	84	65	40	81	77	0
6	James van Riemsdyk	0		X			100.00	61	35	78	77	87	86	79	76	69	73	84	60	80	77	63	73	91	76	0
7	Josh Bailey	0			X		100.00	58	38	77	76	80	86	95	75	79	80	68	60	72	82	65	69	92	75	0
8	Anthony Mantha	0			X		100.00	67	44	75	76	94	88	80	75	71	74	81	60	78	59	58	79	92	75	0
9	Rickard Rakell	0	X				100.00	69	41	76	74	78	90	82	73	61	75	71	64	72	65	60	74	92	74	0
10	Andre Burakovsky	0		X			100.00	60	35	75	77	84	77	89	72	61	72	77	62	67	63	54	79	92	73	0
11	Vladislav Namestnikov	0	X				100.00	76	35	72	69	71	84	91	68	69	71	66	72	67	64	54	68	92	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	91	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	91	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	91	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	92	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	89	74	0
17	Scott Mayfield	0				X	100.00	73	50	66	66	94	82	92	65	30	64	60	81	68	56	52	66	90	71	0
18	Patrik Nemeth	0				X	100.00	77	41	70	63	87	79	87	63	30	63	56	87	65	60	53	63	79	70	0
Rayé
1	Jordan Martinook	0		X			100.00	84	35	69	68	74	82	95	67	76	65	68	72	68	63	54	59	91	72	0
2	Mattias Janmark	0	X	X			100.00	59	35	76	68	76	83	94	67	63	70	63	71	65	59	53	55	70	70	0

	MOYENNE D'ÉQUIPE					99.90	67	38	76	74	78	87	89	73	59	75	72	71	74	71	60	61	89	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	99.00	97	90	97	89	96	95	97	96	95	96	89	66	82	80	92	83	0
2	Petr Mrazek	100.00	92	82	84	75	91	90	92	91	90	91	84	67	80	47	92	78	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	95	86	91	82	94	93	95	94	93	94	87	67	81	64	92	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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Jack Eichel	NEW YORK Rangers	C	57	21	36	57	23	14	0	59	140	186	44	132	11.29%	12	1175	20.62	3	10	13	33	157	1	0	1	4	124	6	1	53.55%	1632	1	0.97	1	1	0	0	0	5	4	6
2	David Krejci	NEW YORK Rangers	C	58	19	34	53	14	10	0	27	116	132	29	87	14.39%	7	893	15.41	6	10	16	33	183	0	0	0	0	0	3	0	50.72%	1183	0	1.19	0	0	0	0	0	3	2	2
3	Brad Marchand	NEW YORK Rangers	LW	60	23	29	52	8	30	0	76	121	257	74	195	8.95%	13	1342	22.37	6	11	17	59	212	0	0	0	4	194	7	0	44.93%	138	1	0.77	1	2	0	0	0	2	4	2
4	Phil Kessel	NEW YORK Rangers	RW	61	24	25	49	23	10	0	38	64	178	27	106	13.48%	7	1132	18.57	6	7	13	42	206	0	0	0	0	0	4	0	53.49%	86	0	0.87	0	1	0	0	0	3	4	2
5	Matt Dumba	NEW YORK Rangers	D	60	16	31	47	26	59	5	83	42	143	35	96	11.19%	54	1216	20.28	8	8	16	70	217	0	0	0	1	24	2	4	0.00%	0	0	0.77	0	0	0	0	1	2	4	3
6	Ryan McDonagh	NEW YORK Rangers	D	60	6	39	45	13	54	0	113	88	100	35	76	6.00%	100	1502	25.05	1	11	12	49	167	0	1	1	1	155	1	0	0.00%	0	0	0.60	0	0	0	0	0	2	5	2
7	Dustin Brown	NEW YORK Rangers	RW	61	20	25	45	11	28	0	96	67	143	47	111	13.99%	13	1021	16.75	2	6	8	14	99	2	0	2	7	196	1	2	42.06%	126	0	0.88	0	0	0	0	0	3	2	5
8	Ryan Suter	NEW YORK Rangers	D	59	4	39	43	10	47	5	79	77	100	42	73	4.00%	88	1567	26.57	1	12	13	63	215	0	1	1	1	161	1	0	0.00%	0	0	0.55	0	0	0	1	0	1	2	1
9	James van Riemsdyk	NEW YORK Rangers	LW	61	18	21	39	19	22	0	69	47	163	44	115	11.04%	7	1107	18.15	5	7	12	32	200	0	0	0	0	7	4	0	49.00%	100	0	0.70	1	2	0	0	0	3	1	1
10	Andy Greene	NEW YORK Rangers	D	59	12	25	37	25	20	0	36	73	76	27	52	15.79%	88	1262	21.39	8	5	13	44	169	0	2	2	2	189	2	0	0.00%	0	0	0.59	0	0	0	0	0	1	4	1
11	Andre Burakovsky	NEW YORK Rangers	LW	61	20	16	36	19	18	0	46	34	99	32	67	20.20%	1	734	12.04	3	3	6	17	80	0	0	0	0	11	2	0	55.88%	34	0	0.98	0	0	0	0	0	1	5	2
12	Anthony Mantha	NEW YORK Rangers	RW	59	14	14	28	12	22	0	63	28	111	31	83	12.61%	5	798	13.53	2	2	4	15	103	0	0	0	0	0	2	2	54.39%	57	0	0.70	1	1	0	0	0	3	0	0
13	Josh Bailey	NEW YORK Rangers	RW	61	8	16	24	14	2	0	25	72	70	17	53	11.43%	5	663	10.87	0	1	1	2	7	0	0	0	0	0	3	0	46.24%	744	0	0.72	0	0	0	0	0	1	1	1
14	Patrik Nemeth	NEW YORK Rangers	D	46	2	15	17	11	50	0	74	32	24	10	23	8.33%	58	694	15.09	1	0	1	1	5	0	0	0	0	60	1	0	0.00%	0	0	0.49	0	0	0	0	0	0	1	2
15	Scott Mayfield	NEW YORK Rangers	D	56	1	15	16	9	49	5	85	36	41	12	29	2.44%	69	997	17.82	0	2	2	11	50	0	0	0	0	134	0	0	0.00%	0	0	0.32	0	0	1	0	0	1	0	0
16	Rickard Rakell	NEW YORK Rangers	C	61	8	8	16	15	14	0	59	35	70	17	58	11.43%	2	598	9.80	0	0	0	0	0	0	0	0	0	0	2	2	42.86%	42	0	0.54	0	0	0	0	0	0	2	1
17	Alexander Kerfoot	NEW YORK Rangers	C	61	6	7	13	2	0	0	0	80	54	16	51	11.11%	5	611	10.03	0	0	0	0	0	0	0	0	0	39	1	1	48.93%	703	0	0.42	0	0	0	0	0	0	0	1
18	Jordan Martinook	NEW YORK Rangers	LW	57	8	5	13	-2	28	0	60	49	43	12	23	18.60%	4	569	9.99	2	2	4	8	54	0	1	1	1	123	1	1	53.85%	286	0	0.46	0	0	0	0	0	0	0	1
19	Vladislav Namestnikov	NEW YORK Rangers	C	61	1	9	10	-4	26	0	57	37	76	17	64	1.32%	6	732	12.01	0	3	3	11	50	0	0	0	0	114	1	0	40.21%	97	0	0.27	0	0	0	0	0	0	0	0
20	Mattias Janmark	NEW YORK Rangers	C/LW	47	2	1	3	4	0	0	18	21	16	2	10	12.50%	2	260	5.53	0	0	0	1	4	0	0	0	1	37	1	0	41.32%	167	0	0.23	0	0	0	0	0	0	0	0
21	Scott Harrington	BROOKLYN Wolfpack (NYR)	D	3	0	1	1	2	0	0	3	1	1	0	0	0.00%	1	26	8.84	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	0.75	0	0	0	0	0	0	0	0
22	Andrei Mironov	BROOKLYN Wolfpack (NYR)	D	2	0	0	0	1	0	0	3	0	0	0	0	0.00%	1	27	13.99	0	0	0	0	0	0	0	0	0	3	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1171	233	411	644	255	503	15	1169	1260	2083	570	1504	11.19%	548	18936	16.17	54	100	154	505	2190	3	5	8	22	1584	45	13	50.08%	5395	2	0.68	4	7	1	1	1	31	41	33

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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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Andrei Vasilevskiy	NEW YORK Rangers	61	42	18	1	0.919	2.31	3667	4	7	141	1745	2	2	0.800	5	61	0	9	1	8
2	Petr Mrazek	NEW YORK Rangers	1	0	0	0	1.000	0.00	10	0	0	0	3	0	0	0.000	0	0	61	0	0	0
Stats d'équipe Total ou en Moyenne			62	42	18	1	0.919	2.30	3678	4	7	141	1748	2	2	0.800	5	61	61	9	1	8

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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$	625,000$	2,000,000$	625,000$	2,000,000$	625,000$	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$	781,250$	2,500,000$	781,250$	2,500,000$	781,250$	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$	1,093,750$	3,500,000$	1,093,750$	3,500,000$	1,093,750$	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$	1,250,000$	4,000,000$	1,250,000$	4,000,000$	1,250,000$	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$	781,250$	2,500,000$	781,250$	2,500,000$	781,250$	No	2,500,000$	2,500,000$				Lien
Brad Marchand	NEW YORK Rangers	LW	31	1988-05-11	No	82 Kg	175 CM	No	No	No	3	Pro & Farm	5,750,000$	1,796,875$	5,750,000$	1,796,875$	5,750,000$	1,796,875$	No	5,750,000$	5,750,000$				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$	2,093,750$	6,700,000$	2,093,750$	6,700,000$	2,093,750$	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$	1,835,937$	5,875,000$	1,835,937$	5,875,000$	1,835,938$	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$	2,656,250$	8,500,000$	2,656,250$	8,500,000$	2,656,250$	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$	1,843,750$	5,900,000$	1,843,750$	5,900,000$	1,843,750$	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$	500,000$	1,600,000$	500,000$	1,600,000$	500,000$	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$	1,340,625$	4,290,000$	1,340,625$	4,290,000$	1,340,625$	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$	1,562,500$	5,000,000$	1,562,500$	5,000,000$	1,562,500$	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$	656,250$	2,100,000$	656,250$	2,100,000$	656,250$	No	2,100,000$					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$	468,750$	1,500,000$	468,750$	1,500,000$	468,750$	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$	781,250$	2,500,000$	781,250$	2,500,000$	781,250$	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$	1,781,250$	5,700,000$	1,781,250$	5,700,000$	1,781,250$	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$	1,000,000$	3,200,000$	1,000,000$	3,200,000$	1,000,000$	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$	1,796,875$	5,750,000$	1,796,875$	5,750,000$	1,796,875$	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$	2,031,250$	6,500,000$	2,031,250$	6,500,000$	2,031,250$	No	6,500,000$	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	4	Pro & Farm	1,500,000$	468,750$	1,500,000$	468,750$	1,500,000$	468,750$	No	1,500,000$	1,500,000$	1,500,000$			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$	781,250$	2,500,000$	781,250$	2,500,000$	781,250$	No	2,500,000$					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	28.09	91 Kg	185 CM	3.18	4,062,045$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
89,365,000$	80,865,000$	69,065,000$	48,025,000$	33,475,000$

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	Andre Burakovsky	Josh Bailey	Dustin Brown	22	1	2	2
4	Rickard Rakell	Alexander Kerfoot	Vladislav Namestnikov	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Dumba	Ryan Suter	31	1	2	2
2	Ryan McDonagh	Andy Greene	26	1	2	2
3	Scott Mayfield	Patrik Nemeth	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	Matt Dumba	Ryan Suter	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	Alexander Kerfoot	Vladislav Namestnikov	45	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Patrik Nemeth	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	Alexander Kerfoot	55	1	2	2	Patrik Nemeth	Andy Greene	55	1	2	2
2	Vladislav Namestnikov	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	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	Patrik Nemeth	55	1	2	2
2	Ryan McDonagh	Scott Mayfield	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	Alexander Kerfoot	Dustin Brown	Andy Greene	Patrik Nemeth

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, Ryan McDonagh, Matt Dumba	Matt Dumba	Andy Greene, Patrik Nemeth

Tirs de Pénalité
James van Riemsdyk, Phil Kessel, Brad Marchand, Andre Burakovsky, Jack Eichel

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

Lignes d'Attaque Perso. en Prol.
Jack Eichel, Brad Marchand, Phil Kessel, David Krejci, James van Riemsdyk, 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, Patrik Nemeth

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	3	2	1	0	0	0	0	0	10	7	3	0	0	0	0	0	0	0	0	0	0	0	3	2	1	0	0	0	0	0	10	7	3	4	0.667	10	19	29	0	0	4	0	6	0	95	19	33	43	0	81	23	30	49	8	1	12.50%	12	3	75.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	64	44	76	23	38	18
2	BOSTON Bruins	3	0	2	0	1	0	0	0	6	9	-3	2	0	2	0	0	0	0	0	2	6	-4	1	0	0	0	1	0	0	0	4	3	1	2	0.333	6	11	17	0	0	3	1	1	1	106	42	26	37	1	84	15	24	68	12	2	16.67%	12	2	83.33%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	78	55	64	22	38	20
3	CALGARY Flames	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	6	2	4	4	1.000	11	20	31	0	0	5	2	4	0	60	29	17	14	0	63	27	18	34	9	0	0.00%	8	1	87.50%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	50	35	43	14	25	13
4	CHICAGO Blackhawks	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	10	15	0	0	0	5	0	0	53	19	21	13	0	54	18	20	34	5	0	0.00%	10	3	70.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	49	33	44	14	26	13
5	COLORADO Avalanche	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	0	2	1	0	15	4	6	5	0	37	28	10	19	1	1	100.00%	5	2	60.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	18	12	27	7	13	6
6	DETROIT Red Wings	3	2	1	0	0	0	0	0	13	9	4	2	1	1	0	0	0	0	0	9	8	1	1	1	0	0	0	0	0	0	4	1	3	4	0.667	13	23	36	0	0	5	4	4	0	83	23	27	33	0	82	23	12	62	14	3	21.43%	6	0	100.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	79	58	62	19	37	19
7	EDMONTON Oilers	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	4	5	-1	1	0.500	4	8	12	0	0	0	2	2	0	39	11	4	22	2	29	15	6	19	3	0	0.00%	3	0	100.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	27	18	22	7	14	7
8	MINNESOTA Wild	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	0	1	2	0	33	7	11	15	0	28	18	4	15	6	2	33.33%	2	0	100.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	20	14	26	8	12	6
9	MONTREAL Canadiens	4	3	0	0	0	0	1	0	17	8	9	2	1	0	0	0	0	1	0	7	3	4	2	2	0	0	0	0	0	0	10	5	5	8	1.000	17	32	49	0	0	4	6	6	2	116	26	47	41	5	115	28	36	71	19	5	26.32%	14	0	100.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	97	68	96	31	51	25
10	NASHVILLE Predators	2	1	0	0	1	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	1	0	0	0	2	1	1	4	1.000	5	9	14	0	0	2	1	1	1	67	18	17	31	1	61	22	20	27	12	1	8.33%	9	2	77.78%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	48	34	50	15	23	11
11	NEW JERSEY Devils	4	3	1	0	0	0	0	0	16	7	9	2	2	0	0	0	0	0	0	12	3	9	2	1	1	0	0	0	0	0	4	4	0	6	0.750	16	27	43	1	1	4	8	4	0	137	44	50	43	0	105	30	28	74	15	3	20.00%	14	2	85.71%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	99	69	89	28	51	26
12	NEW YORK Islanders	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	1	0	0	0	34	4	13	17	0	27	8	2	17	4	1	25.00%	1	0	100.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	24	17	22	6	12	6
13	OTTAWA Senators	3	2	1	0	0	0	0	0	11	6	5	1	0	1	0	0	0	0	0	1	2	-1	2	2	0	0	0	0	0	0	10	4	6	4	0.667	11	22	33	0	0	7	2	2	0	106	41	26	39	0	84	27	16	50	9	2	22.22%	8	2	75.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	82	61	62	19	34	17
14	PHILADELPHIA Flyers	3	3	0	0	0	0	0	0	14	5	9	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	4	1	3	6	1.000	14	25	39	0	0	5	4	5	0	87	23	34	30	0	94	18	27	48	14	3	21.43%	7	1	85.71%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	74	52	68	20	37	19
15	PITTSBURGH Penguins	4	2	1	0	1	0	0	0	13	9	4	2	1	0	0	1	0	0	0	7	5	2	2	1	1	0	0	0	0	0	6	4	2	6	0.750	13	23	36	0	1	6	2	4	1	128	36	36	53	3	96	29	36	67	24	3	12.50%	17	3	82.35%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	104	72	85	30	53	28
16	QUEBEC Nordiques	4	2	2	0	0	0	0	0	11	10	1	2	2	0	0	0	0	0	0	9	4	5	2	0	2	0	0	0	0	0	2	6	-4	4	0.500	11	18	29	0	1	4	5	2	0	115	37	38	40	0	105	32	26	93	11	2	18.18%	11	0	100.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	91	63	97	27	50	24
17	SEATTLE Totems	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	1	1	2	0	25	9	12	4	0	38	10	2	18	4	2	50.00%	1	0	100.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	23	17	24	6	11	5
18	ST-LOUIS Blues	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	10	15	1	0	2	2	1	0	59	18	21	20	0	70	26	14	31	7	2	28.57%	6	1	83.33%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	47	33	48	13	23	11
19	TAMPA BAY Lightning	6	3	3	0	0	0	0	0	23	19	4	2	2	0	0	0	0	0	0	6	1	5	4	1	3	0	0	0	0	0	17	18	-1	6	0.500	23	43	66	0	1	6	8	9	0	183	57	62	64	0	168	54	44	115	28	5	17.86%	20	5	75.00%	1	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	152	106	132	44	75	38
20	TORONTO Maple Leafs	3	3	0	0	0	0	0	0	12	1	11	2	2	0	0	0	0	0	0	10	0	10	1	1	0	0	0	0	0	0	2	1	1	6	1.000	12	22	34	0	2	2	5	5	0	97	25	32	40	0	77	26	28	50	13	2	15.38%	11	0	100.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	78	55	66	21	34	18
	Total	61	37	18	0	3	1	2	0	218	143	75	31	21	8	0	1	0	1	0	111	64	47	30	16	10	0	2	1	1	0	107	79	28	85	0.697	218	395	613	2	7	69	71	73	7	1895	570	628	682	21	1750	528	475	1090	248	49	19.76%	201	30	85.07%	3	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	1514	1066	1400	441	767	389
22	VANCOUVER Canucks	2	2	0	0	0	0	0	0	12	6	6	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	12	22	34	0	0	4	3	5	0	67	27	22	18	0	64	22	10	35	8	4	50.00%	5	1	80.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	48	34	47	14	24	12
23	VEGAS Golden Knights	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	7	12	0	0	2	0	3	0	46	14	18	14	0	33	9	2	12	4	2	50.00%	1	0	100.00%	0	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	27	19	20	7	12	6
24	WASHINGTON Capitals	3	0	2	0	0	0	1	0	9	11	-2	1	0	1	0	0	0	0	0	2	3	-1	2	0	1	0	0	0	1	0	7	8	-1	2	0.333	9	15	24	0	0	0	4	4	2	85	18	28	33	9	95	12	25	53	11	2	18.18%	8	1	87.50%	1	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	77	55	69	20	38	20
25	WINNIPEG Jets	2	2	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	4	1.000	5	8	13	0	1	2	3	0	0	59	19	27	13	0	60	8	35	29	7	1	14.29%	10	1	90.00%	1	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	48	32	48	15	23	11
	_Since Last GM Reset	61	37	18	0	3	1	2	0	218	143	75	31	21	8	0	1	0	1	0	111	64	47	30	16	10	0	2	1	1	0	107	79	28	85	0.697	218	395	613	2	7	69	71	73	7	1895	570	628	682	21	1750	528	475	1090	248	49	19.76%	201	30	85.07%	3	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	1514	1066	1400	441	767	389
	_Vs Conference	41	23	14	0	2	0	2	0	146	97	49	21	13	6	0	1	0	1	0	76	42	34	20	10	8	0	1	0	1	0	70	55	15	54	0.659	146	263	409	1	6	47	49	46	6	1277	376	419	470	18	1132	302	304	768	174	33	18.97%	129	16	87.60%	2	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	1040	735	918	292	516	264
	_Vs Division	15	8	5	0	1	0	1	0	53	35	18	8	5	2	0	1	0	0	0	32	18	14	7	3	3	0	0	0	1	0	21	17	4	20	0.667	53	92	145	1	2	16	18	17	3	471	125	161	176	12	417	97	118	259	68	12	17.65%	47	7	85.11%	1	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	379	267	335	105	193	100

			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
61	85	W1	218	395	613	1895	1750	528	475	1090	2	7

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
61	37	18	3	1	2	0	218	143

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	21	8	1	0	1	0	111	64

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	16	10	2	1	1	0	107	79

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	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
248	49	19.76%	201	30	85.07%	3

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
570	628	682	21	69	71	73	7

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
1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%

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
1514	1066	1400	441	767	389

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	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	0	QUEBEC Nordiques	3	L			Sommaire du Match
10 - 2020-01-24	94	BOSTON Bruins	2	NEW YORK Rangers	1	L			Sommaire du Match
11 - 2020-01-25	108	PHILADELPHIA Flyers	1	NEW YORK Rangers	6	W			Sommaire du Match
12 - 2020-01-26	114	NEW YORK Rangers	3	WASHINGTON Capitals	5	L			Sommaire du Match
13 - 2020-01-27	126	NEW YORK Rangers	3	TAMPA BAY Lightning	5	L			Sommaire du Match
15 - 2020-01-29	146	DETROIT Red Wings	5	NEW YORK Rangers	7	W			Sommaire du Match
17 - 2020-01-31	160	NEW YORK Rangers	5	ANAHEIM Ducks	1	W			Sommaire du Match
18 - 2020-02-01	175	TAMPA BAY Lightning	1	NEW YORK Rangers	3	W			Sommaire du Match
20 - 2020-02-03	189	NEW YORK Rangers	4	PITTSBURGH Penguins	0	W			Sommaire du Match
21 - 2020-02-04	197	WINNIPEG Jets	2	NEW YORK Rangers	4	W			Sommaire du Match
22 - 2020-02-05	211	NEW YORK Rangers	3	OTTAWA Senators	2	W			Sommaire du Match
23 - 2020-02-06	221	NASHVILLE Predators	2	NEW YORK Rangers	3	W			Sommaire du Match
25 - 2020-02-08	235	NEW YORK Rangers	4	WASHINGTON Capitals	3	W	X	X	Sommaire du Match
26 - 2020-02-09	248	TAMPA BAY Lightning	0	NEW YORK Rangers	3	W			Sommaire du Match
27 - 2020-02-10	264	DETROIT Red Wings	3	NEW YORK Rangers	2	L			Sommaire du Match
29 - 2020-02-12	278	NEW YORK Rangers	2	QUEBEC Nordiques	3	L			Sommaire du Match
30 - 2020-02-13	286	NEW YORK Rangers	4	ST-LOUIS Blues	2	W			Sommaire du Match
31 - 2020-02-14	302	ST-LOUIS Blues	3	NEW YORK Rangers	1	L			Sommaire du Match
32 - 2020-02-15	316	NEW YORK Rangers	2	ANAHEIM Ducks	4	L			Sommaire du Match
33 - 2020-02-16	326	NEW JERSEY Devils	2	NEW YORK Rangers	4	W			Sommaire du Match
34 - 2020-02-17	340	NEW YORK Rangers	6	VANCOUVER Canucks	2	W			Sommaire du Match
35 - 2020-02-18	351	VANCOUVER Canucks	4	NEW YORK Rangers	6	W			Sommaire du Match
37 - 2020-02-20	370	NEW YORK Rangers	4	EDMONTON Oilers	5	L	X		Sommaire du Match
38 - 2020-02-21	379	TORONTO Maple Leafs	0	NEW YORK Rangers	5	W			Sommaire du Match
39 - 2020-02-22	396	NEW YORK Rangers	2	PITTSBURGH Penguins	4	L			Sommaire du Match
40 - 2020-02-23	404	NEW YORK Rangers	2	CHICAGO Blackhawks	4	L			Sommaire du Match
41 - 2020-02-24	412	WASHINGTON Capitals	3	NEW YORK Rangers	2	L			Sommaire du Match
43 - 2020-02-26	430	PITTSBURGH Penguins	1	NEW YORK Rangers	2	W			Sommaire du Match
44 - 2020-02-27	443	NEW YORK Rangers	3	MINNESOTA Wild	1	W			Sommaire du Match
46 - 2020-02-29	457	WINNIPEG Jets	0	NEW YORK Rangers	1	W			Sommaire du Match
47 - 2020-03-01	474	BOSTON Bruins	4	NEW YORK Rangers	1	L			Sommaire du Match
49 - 2020-03-03	487	NEW YORK Rangers	4	MONTREAL Canadiens	1	W			Sommaire du Match
50 - 2020-03-04	499	NEW YORK Rangers	4	TAMPA BAY Lightning	5	L			Sommaire du Match
51 - 2020-03-05	511	SEATTLE Totems	1	NEW YORK Rangers	4	W			Sommaire du Match
52 - 2020-03-06	527	QUEBEC Nordiques	4	NEW YORK Rangers	5	W			Sommaire du Match
53 - 2020-03-07	537	NEW YORK Rangers	4	DETROIT Red Wings	1	W			Sommaire du Match
55 - 2020-03-09	555	PHILADELPHIA Flyers	3	NEW YORK Rangers	4	W			Sommaire du Match
56 - 2020-03-10	566	NEW YORK Rangers	6	MONTREAL Canadiens	4	W			Sommaire du Match
57 - 2020-03-11	579	QUEBEC Nordiques	0	NEW YORK Rangers	4	W			Sommaire du Match
59 - 2020-03-13	593	NEW YORK Rangers	6	TAMPA BAY Lightning	3	W			Sommaire du Match
60 - 2020-03-14	605	MONTREAL Canadiens	1	NEW YORK Rangers	4	W			Sommaire du Match
62 - 2020-03-16	620	NEW YORK Rangers	6	CALGARY Flames	2	W			Sommaire du Match
63 - 2020-03-17	629	NEW YORK Rangers	2	NEW JERSEY Devils	4	L			Sommaire du Match
64 - 2020-03-18	639	VEGAS Golden Knights	1	NEW YORK Rangers	5	W			Sommaire du Match
65 - 2020-03-19	657	CALGARY Flames	1	NEW YORK Rangers	5	W			Sommaire du Match
66 - 2020-03-20	668	NEW YORK Rangers	2	NEW JERSEY Devils	0	W			Sommaire du Match
67 - 2020-03-21	679	NEW YORK Rangers	2	NASHVILLE Predators	1	W	X		Sommaire du Match
68 - 2020-03-22	691	MONTREAL Canadiens	2	NEW YORK Rangers	3	W	X	X	Sommaire du Match
69 - 2020-03-23	707	CHICAGO Blackhawks	2	NEW YORK Rangers	3	W			Sommaire du Match
70 - 2020-03-24	716	NEW YORK Rangers	4	BOSTON Bruins	3	W	X		Sommaire du Match
72 - 2020-03-26	733	NEW YORK Rangers	7	OTTAWA Senators	2	W			Sommaire du Match
73 - 2020-03-27	742	PITTSBURGH Penguins	4	NEW YORK Rangers	5	W	X		Sommaire du Match
75 - 2020-03-29	762	COLORADO Avalanche	6	NEW YORK Rangers	3	L			Sommaire du Match
76 - 2020-03-30	782	NEW YORK Islanders	3	NEW YORK Rangers	1	L			Sommaire du Match
77 - 2020-03-31	794	NEW YORK Rangers	2	TORONTO Maple Leafs	1	W			Sommaire du Match
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	140,552	120,548	51,058	110,503	19,803
Attendance PCT	75.57%	77.77%	82.35%	71.29%	63.88%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
10	14273 - 75.12%	2,561,876$	79,418,150$	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
60,884,673$	89,365,000$	89,365,000$	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
89,365,000$	59,914,757$	0$	22	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
25,618,758$	35	808,509$	28,297,815$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
28,662,329$	89,365,000$	57,454,944$	54,411,373$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Brad Marchand	AGE:31	PO:51	OV:82
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
Scott Mayfield	AGE:26	PO:66	OV:71
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
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

[2020-04-03 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.
[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.

[2020-04-05 17:28:32] 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.
[2020-04-04 19:14:39] 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.
[2020-04-04 19:14:13] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-04-04 19:13:48] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-04-03 19:39:06] 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.
[2020-04-03 19:39:03] New Record for Team's Most Shots Blocked (28) in 1 Game for NEW YORK Rangers!
[2020-04-03 19:38:38] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-04-03 19:37:33] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-04-02 20:44:28] Patrik Nemeth from NEW YORK Rangers is back from Sprained Right Ankle Injury.
[2020-04-02 20:44:28] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2020-04-01 17:37:08] 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.
[2020-04-01 17:36:32] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-03-31 20:22:08] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-03-30 20:15:31] David Krejci from NEW YORK Rangers is back from Left Foot Injury.
[2020-03-30 20:15:30] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2020-03-29 21:58:04] 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.
[2020-03-29 21:58:04] Last 7 Days Pro Star : 1 - Andrei Vasilevskiy of NEW YORK Rangers (0,952) / 2 - Mark Scheifele of TAMPA BAY Lightning (5-6-11) / 3 - Jaden Schwartz of PHILADELPHIA Flyers (6-4-10)
[2020-03-29 21:57:38] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 21:57:18] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:35:22] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:31:45] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:31:27] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:29:30] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:25:54] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:24:05] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:21:51] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:19:43] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:18:25] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:15:55] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-03-29 20:15:49] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:15:26] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-29 20:15:26] Scott Harrington of NEW YORK Rangers was sent down to farm.
[2020-03-28 20:39:51] 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.
[2020-03-28 20:39:50] Game 707 - David Krejci from NEW YORK Rangers is injured (Left Foot) and is out for 5 days.
[2020-03-28 20:39:20] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-28 20:37:48] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-27 19:34:16] 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.
[2020-03-27 19:33:58] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-27 19:33:38] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.
[2020-03-27 19:33:33] Andrei Mironov of NEW YORK Rangers was sent down to farm.
[2020-03-26 19:00:43] Scott Harrington from NEW YORK Rangers is back from Torso Injury.
[2020-03-26 19:00:43] Ryan Suter from NEW YORK Rangers is back from Exhaustion.
[2020-03-26 18:57:48] Ryan McDonagh from NEW YORK Rangers is back from Exhaustion.
[2020-03-26 18:57:46] Ryan Suter from NEW YORK Rangers is injured from Exhaustion.
[2020-03-26 18:57:27] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2020-03-26 18:57:27] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2020-03-25 18:59:20] Ryan Suter from NEW YORK Rangers is back from Exhaustion.
[2020-03-25 18:59:19] 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.
[2020-03-25 18:59:18] Ryan McDonagh from NEW YORK Rangers is injured from Exhaustion.
[2020-03-25 18:58:46] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database.

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	61	37	18	0	3	1	2	0	218	143	75	31	21	8	0	1	0	1	0	111	64	47	30	16	10	0	2	1	1	0	107	79	28	85	218	395	613	2	7	69	71	73	7	1895	570	628	682	21	1750	528	475	1090	248	49	19.76%	201	30	85.07%	3	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	1514	1066	1400	441	767	389
Total Saison Régulière	61	37	18	0	3	1	2	0	218	143	75	31	21	8	0	1	0	1	0	111	64	47	30	16	10	0	2	1	1	0	107	79	28	85	218	395	613	2	7	69	71	73	7	1895	570	628	682	21	1750	528	475	1090	248	49	19.76%	201	30	85.07%	3	1080	2191	49.29%	1108	2136	51.87%	487	976	49.90%	1514	1066	1400	441	767	389
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