Stanley Cup Winners Hockey League

BROOKLYN Wolfpack
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Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Jack Eichel	0	X				100.00	66	35	81	84	80	94	90	83	90	89	80	65	82	61	58	90	80	79	0
2	Phil Kessel	0			X		96.00	57	35	75	82	75	89	95	81	66	88	77	60	79	90	67	54	80	79	0
3	David Krejci	0	X				100.00	59	35	78	80	72	88	94	79	88	87	70	62	75	84	65	40	75	77	0
4	Josh Bailey	0			X		100.00	58	38	77	76	80	86	95	75	79	80	68	60	72	82	65	69	81	75	0
5	Anthony Mantha	0			X		100.00	67	44	75	76	94	88	80	75	71	74	81	60	78	59	58	79	80	75	0
6	Rickard Rakell	0	X				100.00	69	41	76	74	78	90	82	73	61	75	71	64	72	65	60	74	80	74	0
7	Valtteri Filppula	0	X				100.00	57	35	74	70	74	81	85	69	83	68	70	72	70	88	62	32	79	72	0
8	Vladislav Namestnikov	0	X				100.00	76	35	72	69	71	84	91	68	69	71	66	72	67	64	54	68	81	72	0
9	Jordan Martinook	0		X			100.00	84	35	69	68	74	82	95	67	76	65	68	72	68	63	54	59	81	72	0
10	Mattias Janmark	0	X	X			100.00	59	35	76	68	76	83	94	67	63	70	63	71	65	59	53	55	81	70	0
11	Alexander Kerfoot	0	X				100.00	58	35	74	72	65	82	91	71	80	74	68	61	70	56	52	47	81	70	0
12	Andre Burakovsky	0		X			100.00	60	35	75	68	84	77	89	67	61	67	66	60	67	63	54	79	80	69	0
13	Nick Cousins	0	X				100.00	72	41	70	68	69	82	94	67	77	70	64	60	66	60	53	63	88	69	0
14	Jujhar Khaira	0		X			100.00	79	50	68	67	89	80	73	66	71	70	62	68	64	56	52	65	96	69	0
15	Ryan Suter	0				X	99.00	66	38	82	74	82	95	95	73	30	78	64	81	74	93	68	46	79	79	0
16	Ryan McDonagh	0				X	100.00	69	35	79	73	80	90	95	72	30	76	67	86	75	74	62	68	72	77	0
17	Matt Dumba	0				X	98.00	77	44	82	76	71	93	66	75	30	69	89	76	87	64	59	84	61	75	0
18	Andy Greene	0				X	100.00	65	35	83	67	70	87	95	67	30	67	62	93	70	85	61	20	81	74	0
19	Patrik Nemeth	0				X	100.00	77	41	70	63	87	79	87	63	30	63	56	87	65	60	53	63	80	70	0
Rayé
1	Dustin Brown	0			X		97.40	80	35	81	76	76	94	85	75	50	77	75	72	75	95	69	44	70	79	0
2	Nick Leddy	0				X	96.50	66	35	83	68	76	88	95	67	30	68	60	69	69	76	58	70	71	72	0

	MOYENNE D'ÉQUIPE					99.33	68	38	76	72	77	86	89	71	60	74	69	70	72	71	59	60	79	74

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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	79	83	0
2	Petr Mrazek	100.00	92	82	84	75	91	90	92	91	90	91	84	67	80	47	81	78	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	95	86	91	82	94	93	95	94	93	94	87	67	81	64	80	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	55	3	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	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Jack Eichel	NEW YORK Rangers	C	73	24	34	58	12	22	0	52	153	193	42	133	12.44%	6	1406	19.27	9	15	24	44	248	0	0	0	4	185	3	2	52.00%	1796	0	0	0.82	5	7	0	0	5	3	5
2	Phil Kessel	NEW YORK Rangers	RW	70	26	27	53	9	8	0	40	90	227	68	164	11.45%	9	1592	22.75	8	10	18	61	263	0	0	0	0	22	2	1	44.86%	214	0	2	0.67	2	3	0	0	6	3	3
3	David Krejci	NEW YORK Rangers	C	73	19	32	51	-4	12	0	54	134	185	38	113	10.27%	5	1341	18.38	7	14	21	38	261	0	0	0	0	38	3	1	53.33%	1545	0	0	0.76	1	4	0	0	2	2	4
4	Ryan McDonagh	NEW YORK Rangers	D	65	14	32	46	-1	62	0	107	65	98	34	64	14.29%	71	1544	23.77	8	10	18	49	203	0	0	0	2	153	4	1	0.00%	0	0	0	0.60	0	0	0	0	3	4	1
5	Ryan Suter	NEW YORK Rangers	D	70	10	36	46	-10	60	0	73	85	126	37	58	7.94%	102	1850	26.44	7	14	21	72	248	0	0	0	1	168	3	0	0.00%	0	0	0	0.50	0	0	0	0	1	5	2
6	Matt Dumba	NEW YORK Rangers	D	73	9	31	40	-6	81	15	103	51	156	67	110	5.77%	65	1422	19.48	5	14	19	87	237	0	0	0	1	53	2	0	0.00%	0	1	0	0.56	1	2	1	1	2	2	2
7	Anthony Mantha	NEW YORK Rangers	RW	72	18	20	38	5	36	0	108	45	169	40	117	10.65%	4	1281	17.80	5	12	17	41	267	0	0	0	1	31	1	0	42.14%	140	0	1	0.59	0	7	0	0	4	3	1
8	Dustin Brown	NEW YORK Rangers	RW	71	15	22	37	9	32	0	150	65	163	39	112	9.20%	14	1351	19.04	4	12	16	44	258	0	1	1	4	152	1	1	42.38%	151	0	0	0.55	1	2	0	0	1	4	4
9	Josh Bailey	NEW YORK Rangers	RW	73	14	21	35	-5	26	0	39	57	128	39	85	10.94%	3	1285	17.61	4	6	10	28	268	0	0	0	0	0	3	2	44.71%	85	0	0	0.54	0	0	0	0	3	0	4
10	Nick Leddy	NEW YORK Rangers	D	71	8	16	24	6	26	0	39	37	57	20	38	14.04%	38	1365	19.23	5	9	14	33	245	0	0	0	0	85	2	0	0.00%	0	0	0	0.35	0	0	0	0	0	3	0
11	Patrik Nemeth	NEW YORK Rangers	D	73	1	21	22	10	54	0	129	55	44	15	30	2.27%	86	1240	17.00	0	4	4	15	61	0	0	0	0	204	0	0	0.00%	0	0	0	0.35	0	0	0	0	1	1	1
12	Rickard Rakell	NEW YORK Rangers	C	73	9	10	19	-12	51	5	80	52	106	29	71	8.49%	4	992	13.60	2	1	3	7	37	0	0	0	0	0	4	0	41.38%	58	0	0	0.38	0	0	1	0	0	1	1
13	Andy Greene	NEW YORK Rangers	D	73	4	11	15	-3	28	0	57	77	66	18	34	6.06%	81	1338	18.34	3	1	4	28	103	0	1	1	2	236	1	0	0.00%	0	0	0	0.22	0	0	0	0	0	1	2
14	Valtteri Filppula	NEW YORK Rangers	C	65	7	6	13	-3	6	0	10	85	55	7	41	12.73%	7	764	11.76	0	0	0	0	1	1	0	1	3	154	3	0	48.83%	858	0	0	0.34	0	0	0	0	1	0	2
15	Jordan Martinook	NEW YORK Rangers	LW	73	3	8	11	-5	18	0	85	51	46	9	35	6.52%	2	656	8.99	0	7	7	6	60	0	0	0	5	261	1	0	46.58%	483	0	0	0.34	0	0	0	0	0	1	1
16	Vladislav Namestnikov	NEW YORK Rangers	C	73	3	7	10	2	18	0	65	29	58	17	47	5.17%	9	594	8.15	0	0	0	0	0	0	0	0	0	30	0	0	61.76%	34	0	0	0.34	0	0	0	0	1	2	0
17	Alexander Kerfoot	NEW YORK Rangers	C	73	3	6	9	-9	20	0	41	80	83	24	66	3.61%	6	934	12.80	0	0	0	0	0	0	0	0	0	1	0	1	53.01%	415	0	0	0.19	0	0	0	0	1	0	1
18	Mattias Janmark	NEW YORK Rangers	C/LW	73	5	3	8	-3	12	0	23	42	68	16	45	7.35%	4	698	9.57	0	0	0	3	16	0	0	0	2	40	0	1	45.89%	231	0	0	0.23	0	0	0	0	1	0	1
19	Nick Cousins	NEW YORK Rangers	C	19	1	0	1	2	0	0	2	0	5	2	0	20.00%	0	37	1.98	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0.53	0	0	0	0	0	1	0
20	Andre Burakovsky	NEW YORK Rangers	LW	36	0	0	0	-1	2	0	5	2	1	2	5	0.00%	0	68	1.91	0	0	0	0	1	0	0	0	0	3	0	0	33.33%	3	0	0	0.00	0	0	0	0	0	0	0
21	Jujhar Khaira	NEW YORK Rangers	LW	2	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.03	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1344	193	343	536	-7	574	20	1262	1255	2034	563	1368	9.49%	516	21769	16.20	67	129	196	556	2785	1	2	3	25	1823	33	10	50.40%	6014	1	3	0.49	10	25	2	1	32	36	35

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Andrei Vasilevskiy	NEW YORK Rangers	73	37	27	9	0.910	2.30	4403	2	2	169	1888	2	0.560	25	73	0	3	7	3
2	Petr Mrazek	NEW YORK Rangers	1	0	0	0	1.000	0.00	18	0	0	0	5	0	0.000	0	0	73	0	0	0
Stats d'équipe Total ou en Moyenne			74	37	27	9	0.911	2.29	4421	2	2	169	1893	2	0.560	25	73	73	3	7	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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Alexander Kerfoot	NEW YORK Rangers	C	25	1994-08-11	No	80 Kg	178 CM	No	No	No	2	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	203,704$	No	Lien
Andre Burakovsky	NEW YORK Rangers	LW	24	1995-02-09	No	91 Kg	191 CM	No	No	No	2	Avec Restriction	Pro & Farm	2,500,000$	2,500,000$	254,630$	No	Lien
Andrei Vasilevskiy	NEW YORK Rangers	G	25	1994-07-25	No	98 Kg	193 CM	No	No	No	4	Avec Restriction	Pro & Farm	3,500,000$	3,500,000$	356,481$	No	Lien
Andy Greene	NEW YORK Rangers	D	36	1982-10-30	No	86 Kg	180 CM	No	No	No	3	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	407,407$	No	Lien
Anthony Mantha	NEW YORK Rangers	RW	24	1994-09-16	No	102 Kg	196 CM	No	No	No	4	Avec Restriction	Pro & Farm	2,500,000$	2,500,000$	254,630$	No	Lien
David Krejci	NEW YORK Rangers	C	33	1986-04-28	No	85 Kg	183 CM	No	No	No	6	Sans Restriction	Pro & Farm	6,700,000$	6,700,000$	682,407$	No	Lien
Dustin Brown	NEW YORK Rangers	RW	34	1984-11-04	No	95 Kg	183 CM	No	No	No	6	Sans Restriction	Pro & Farm	5,875,000$	5,875,000$	598,380$	No	Lien
Jack Eichel	NEW YORK Rangers	C	22	1996-10-28	No	91 Kg	188 CM	No	No	No	1	Avec Restriction	Pro & Farm	8,000,000$	8,000,000$	814,815$	No	Lien
Jordan Martinook	NEW YORK Rangers	LW	27	1992-07-25	No	89 Kg	183 CM	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	152,778$	No	Lien
Josh Bailey	NEW YORK Rangers	RW	29	1989-10-02	No	96 Kg	185 CM	No	No	No	4	Sans Restriction	Pro & Farm	4,290,000$	4,290,000$	436,944$	No	Lien
Jujhar Khaira	NEW YORK Rangers	LW	25	1994-08-13	No	96 Kg	193 CM	No	No	No	1	Avec Restriction	Pro & Farm	750,000$	750,000$	76,389$	No	Lien
Matt Dumba	NEW YORK Rangers	D	25	1994-07-25	No	83 Kg	183 CM	No	No	No	4	Avec Restriction	Pro & Farm	5,000,000$	5,000,000$	509,259$	No	Lien
Mattias Janmark	NEW YORK Rangers	C/LW	26	1992-12-08	No	89 Kg	185 CM	No	No	No	1	Avec Restriction	Pro & Farm	1,125,000$	1,125,000$	114,583$	No	Lien
Nick Cousins	NEW YORK Rangers	C	26	1993-07-20	No	84 Kg	180 CM	No	No	No	1	Avec Restriction	Pro & Farm	900,000$	900,000$	91,667$	No	Lien
Nick Leddy	NEW YORK Rangers	D	28	1991-03-20	No	94 Kg	183 CM	No	No	No	4	Sans Restriction	Pro & Farm	4,750,000$	4,750,000$	483,796$	No	Lien
Patrik Nemeth	NEW YORK Rangers	D	27	1992-02-08	No	100 Kg	191 CM	No	No	No	2	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	152,778$	No	Lien
Petr Mrazek	NEW YORK Rangers	G	27	1992-02-14	No	86 Kg	185 CM	No	No	No	2	Avec Restriction	Pro & Farm	2,500,000$	2,500,000$	254,630$	No	Lien
Phil Kessel	NEW YORK Rangers	RW	31	1987-10-02	No	92 Kg	183 CM	No	No	No	5	Sans Restriction	Pro & Farm	5,700,000$	5,700,000$	580,556$	No	Lien
Rickard Rakell	NEW YORK Rangers	C	26	1993-05-05	No	92 Kg	185 CM	No	No	No	1	Avec Restriction	Pro & Farm	3,800,000$	3,800,000$	387,037$	No	Lien
Ryan McDonagh	NEW YORK Rangers	D	30	1989-06-13	No	98 Kg	185 CM	No	No	No	5	Sans Restriction	Pro & Farm	5,750,000$	5,750,000$	585,648$	No	Lien
Ryan Suter	NEW YORK Rangers	D	34	1985-01-21	No	95 Kg	188 CM	No	No	No	1	Sans Restriction	Pro & Farm	7,000,000$	7,000,000$	712,963$	No	Lien
Valtteri Filppula	NEW YORK Rangers	C	35	1984-03-20	No	89 Kg	183 CM	No	No	No	1	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	407,407$	No	Lien
Vladislav Namestnikov	NEW YORK Rangers	C	26	1992-11-22	No	84 Kg	183 CM	No	No	No	1	Avec Restriction	Pro & Farm	3,200,000$	3,200,000$	325,926$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	28.04	91 Kg	185 CM	2.70	3,775,652$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
86,840,000$	56,565,000$	48,065,000$	44,065,000$	24,025,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jordan Martinook	Jack Eichel	Phil Kessel	32	0	1	4
2	Josh Bailey	David Krejci	Anthony Mantha	26	0	1	4
3	Rickard Rakell	Alexander Kerfoot	Mattias Janmark	22	1	2	2
4	Vladislav Namestnikov	Valtteri Filppula	Phil Kessel	20	1	2	2

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

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Phil Kessel	Jack Eichel	Anthony Mantha	55	0	1	4
2	Josh Bailey	David Krejci	Jordan Martinook	45	1	2	2

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

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jack Eichel	Jordan Martinook	55	1	3	1
2	Valtteri Filppula	Phil Kessel	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	Matt Dumba	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	Patrik Nemeth	Andy Greene	55	1	2	2
2	Valtteri Filppula	45	1	2	2	Ryan Suter	Matt Dumba	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jack Eichel	Phil Kessel	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	Patrik Nemeth	55	1	2	2
2	Andy Greene	Ryan Suter	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Phil Kessel	Jack Eichel	Anthony Mantha	Matt Dumba	Ryan Suter

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jordan Martinook	Valtteri Filppula	Jujhar Khaira	Patrik Nemeth	Andy Greene

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jack Eichel, Phil Kessel, David Krejci	Jack Eichel, David Krejci	Jack Eichel

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Patrik Nemeth, Matt Dumba, Andy Greene	Andy Greene	Andy Greene, Patrik Nemeth

Tirs de Pénalité
David Krejci, Anthony Mantha, Jack Eichel, Valtteri Filppula, Phil Kessel

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

Lignes d'Attaque Perso. en Prol.
Jack Eichel, Anthony Mantha, David Krejci, Phil Kessel, Valtteri Filppula, Josh Bailey, Josh Bailey, Rickard Rakell, Alexander Kerfoot, Vladislav Namestnikov, Jordan Martinook

Lignes de Défense Perso. en Prol.
Matt Dumba, Ryan Suter, Ryan McDonagh, 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	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	1	0	1	0	14	4	4	6	0	31	9	8	18	4	1	25.00%	4	0	100.00%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	21	13	26	7	12	6
2	ARIZONA Coyotes	2	2	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	5	10	15	0	0	2	2	1	0	38	14	12	12	0	58	16	22	41	9	3	33.33%	11	1	90.91%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	42	28	52	15	24	11
3	BOSTON Bruins	4	3	0	0	0	0	0	1	15	10	5	2	2	0	0	0	0	0	0	8	5	3	2	1	0	0	0	0	0	1	7	5	2	7	0.875	15	27	42	0	1	9	4	2	0	123	33	43	46	4	82	23	30	61	23	5	21.74%	14	3	78.57%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	108	77	85	29	51	27
4	CALGARY Flames	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	16	24	0	0	3	1	4	0	41	9	11	21	0	51	16	10	39	7	1	14.29%	5	0	100.00%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	45	31	49	13	24	12
5	CHICAGO Blackhawks	2	1	0	0	0	0	1	0	7	4	3	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	0	1	0	4	3	1	4	1.000	7	11	18	0	0	2	3	1	1	57	11	25	16	8	45	12	6	32	9	0	0.00%	3	1	66.67%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	53	39	46	15	24	12
6	COLORADO Avalanche	2	0	2	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	1	2	3	0	0	1	0	0	0	46	15	15	16	0	73	21	16	27	8	1	12.50%	7	1	85.71%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	43	29	51	15	25	12
7	COLUMBUS Blue Jackets	4	3	0	0	0	0	1	0	13	6	7	2	2	0	0	0	0	0	0	7	2	5	2	1	0	0	0	0	1	0	6	4	2	8	1.000	13	22	35	0	0	6	2	4	1	117	35	45	33	7	88	17	37	74	23	6	26.09%	14	2	85.71%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	102	72	91	28	50	26
8	DETROIT Red Wings	4	1	2	0	1	0	0	0	9	11	-2	2	1	0	0	1	0	0	0	6	4	2	2	0	2	0	0	0	0	0	3	7	-4	4	0.500	9	14	23	0	0	6	2	0	1	123	37	50	34	2	113	31	41	58	12	1	8.33%	18	6	66.67%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	92	63	97	29	50	24
9	EDMONTON Oilers	2	0	2	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	9	14	0	0	0	4	1	0	45	12	20	13	0	73	17	26	28	8	4	50.00%	12	2	83.33%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	44	29	49	15	25	11
10	MINNESOTA Wild	2	0	1	0	0	0	1	0	4	4	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	1	0	2	1	1	2	0.500	4	4	8	0	0	1	0	2	3	59	14	18	27	4	38	8	6	49	8	1	12.50%	3	0	100.00%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	53	36	46	14	25	13
11	MONTREAL Canadiens	5	2	2	0	0	1	0	0	10	12	-2	3	2	0	0	0	1	0	0	7	5	2	2	0	2	0	0	0	0	0	3	7	-4	5	0.500	10	19	29	0	0	2	2	6	0	133	42	46	45	0	146	37	32	98	23	4	17.39%	16	4	75.00%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	117	81	119	37	63	32
12	NASHVILLE Predators	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	9	14	0	0	2	1	2	0	68	21	22	25	0	50	16	8	33	9	0	0.00%	3	1	66.67%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	54	40	41	14	24	12
13	NEW YORK Islanders	4	1	2	0	0	0	1	0	11	11	0	2	0	1	0	0	0	1	0	6	6	0	2	1	1	0	0	0	0	0	5	5	0	4	0.500	11	17	28	0	0	0	4	6	2	110	41	31	36	5	101	36	32	68	20	3	15.00%	14	5	64.29%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	98	68	96	29	50	25
14	OTTAWA Senators	4	1	2	0	0	1	0	0	8	12	-4	2	1	1	0	0	0	0	0	5	5	0	2	0	1	0	0	1	0	0	3	7	-4	3	0.375	8	13	21	0	0	3	1	4	0	87	38	24	25	0	101	34	38	73	17	1	5.88%	19	3	84.21%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	95	65	96	29	48	24
15	PHILADELPHIA Flyers	4	3	1	0	0	0	0	0	11	8	3	2	1	1	0	0	0	0	0	3	4	-1	2	2	0	0	0	0	0	0	8	4	4	6	0.750	11	20	31	0	0	2	3	6	0	99	38	25	36	0	108	30	38	77	12	3	25.00%	19	3	84.21%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	92	61	98	29	49	23
16	PITTSBURGH Penguins	3	1	1	0	0	1	0	0	9	9	0	1	0	0	0	0	1	0	0	2	3	-1	2	1	1	0	0	0	0	0	7	6	1	3	0.500	9	17	26	0	0	1	5	3	0	84	27	22	34	1	88	18	18	47	18	6	33.33%	9	1	88.89%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	76	55	67	22	37	19
17	QUEBEC Nordiques	4	1	2	0	0	0	0	1	13	12	1	2	1	0	0	0	0	0	1	11	7	4	2	0	2	0	0	0	0	0	2	5	-3	3	0.375	13	23	36	0	0	4	7	2	2	94	31	38	24	5	99	28	36	65	16	4	25.00%	18	3	83.33%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	96	64	99	30	49	24
18	SEATTLE Totems	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	10	15	0	0	3	1	1	0	47	11	16	20	0	61	13	30	32	7	1	14.29%	6	1	83.33%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	45	31	49	13	24	12
19	ST-LOUIS Blues	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	9	14	0	0	0	4	1	0	27	6	12	9	0	31	6	10	26	4	2	50.00%	5	0	100.00%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	23	15	23	8	13	6
20	TAMPA BAY Lightning	5	3	1	0	0	1	0	0	12	11	1	2	1	1	0	0	0	0	0	3	3	0	3	2	0	0	0	1	0	0	9	8	1	7	0.700	12	21	33	0	0	4	5	3	0	147	33	53	61	0	118	27	28	71	24	6	25.00%	13	1	92.31%	1	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	132	94	108	34	60	31
21	TORONTO Maple Leafs	4	3	1	0	0	0	0	0	9	5	4	2	1	1	0	0	0	0	0	4	3	1	2	2	0	0	0	0	0	0	5	2	3	6	0.750	9	16	25	0	0	4	3	2	0	124	44	45	35	0	104	27	34	76	21	2	9.52%	17	1	94.12%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	98	69	93	28	48	23
	Total	73	32	27	0	1	5	4	4	192	173	19	36	18	11	0	1	3	1	2	102	80	22	37	14	16	0	0	2	3	2	90	93	-3	83	0.568	192	338	530	0	2	68	59	60	11	1999	625	675	675	49	1893	514	568	1245	329	66	20.06%	260	44	83.08%	1	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	1802	1259	1710	536	916	462
23	VANCOUVER Canucks	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	10	15	0	0	2	1	2	0	50	21	14	15	0	52	15	12	31	9	3	33.33%	5	1	80.00%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	51	37	43	14	25	13
24	VEGAS Golden Knights	2	1	1	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	5	0	5	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	6	10	16	0	1	4	1	1	0	73	31	27	15	0	33	8	8	30	12	3	25.00%	4	0	100.00%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	59	43	36	12	23	13
25	WASHINGTON Capitals	3	1	2	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	2	3	-1	2	1	1	0	0	0	0	0	6	5	1	2	0.333	8	14	22	0	0	3	3	2	0	94	27	36	31	0	75	27	18	47	12	2	16.67%	9	3	66.67%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	71	48	67	22	40	21
26	WINNIPEG Jets	3	0	0	0	0	1	0	2	6	9	-3	2	0	0	0	0	1	0	1	5	7	-2	1	0	0	0	0	0	0	1	1	2	-1	3	0.500	6	11	17	0	0	3	0	3	1	99	30	21	40	13	74	22	24	44	14	3	21.43%	12	1	91.67%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	80	57	73	23	40	19
	_Since Last GM Reset	73	32	27	0	1	5	4	4	192	173	19	36	18	11	0	1	3	1	2	102	80	22	37	14	16	0	0	2	3	2	90	93	-3	83	0.568	192	338	530	0	2	68	59	60	11	1999	625	675	675	49	1893	514	568	1245	329	66	20.06%	260	44	83.08%	1	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	1802	1259	1710	536	916	462
	_Vs Conference	48	23	16	0	1	4	2	2	128	115	13	23	12	6	0	1	2	1	1	64	50	14	25	11	10	0	0	2	1	1	64	65	-1	58	0.604	128	223	351	0	1	44	41	40	6	1335	426	458	440	24	1223	335	382	815	221	43	19.46%	180	35	80.56%	1	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	1182	824	1120	352	602	303
	_Vs Division	18	9	6	0	0	1	2	0	52	42	10	8	3	3	0	0	1	1	0	20	18	2	10	6	3	0	0	0	1	0	32	24	8	23	0.639	52	90	142	0	0	12	17	21	3	504	168	159	170	13	460	128	143	313	85	20	23.53%	65	14	78.46%	0	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	441	306	421	131	229	115

			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
73	83	L1	192	338	530	1999	1893	514	568	1245	0	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
73	32	27	1	5	4	4	192	173

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	18	11	1	3	1	2	102	80

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	14	16	0	2	3	2	90	93

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	4	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
329	66	20.06%	260	44	83.08%	1

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
625	675	675	49	68	59	60	11

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
1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%

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
1802	1259	1710	536	916	462

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 - 2019-07-30	13	TORONTO Maple Leafs	1	NEW YORK Rangers	4	W			Sommaire du Match
2 - 2019-07-31	26	PHILADELPHIA Flyers	3	NEW YORK Rangers	1	L			Sommaire du Match
3 - 2019-08-01	27	NEW YORK Rangers	2	TAMPA BAY Lightning	1	W			Sommaire du Match
5 - 2019-08-03	44	NEW YORK Rangers	1	MONTREAL Canadiens	4	L			Sommaire du Match
6 - 2019-08-04	56	NEW YORK Rangers	2	TAMPA BAY Lightning	3	L	X		Sommaire du Match
7 - 2019-08-05	73	WINNIPEG Jets	4	NEW YORK Rangers	3	L	X		Sommaire du Match
8 - 2019-08-06	91	NEW YORK Rangers	3	EDMONTON Oilers	4	L			Sommaire du Match
9 - 2019-08-07	92	MONTREAL Canadiens	1	NEW YORK Rangers	2	W			Sommaire du Match
10 - 2019-08-08	110	NEW YORK Rangers	2	DETROIT Red Wings	5	L			Sommaire du Match
12 - 2019-08-10	118	DETROIT Red Wings	1	NEW YORK Rangers	2	W			Sommaire du Match
13 - 2019-08-11	139	NEW YORK Rangers	1	WASHINGTON Capitals	3	L			Sommaire du Match
14 - 2019-08-12	151	TAMPA BAY Lightning	1	NEW YORK Rangers	0	L			Sommaire du Match
15 - 2019-08-13	160	NEW YORK Rangers	2	NEW YORK Islanders	3	L			Sommaire du Match
17 - 2019-08-15	174	COLUMBUS Blue Jackets	1	NEW YORK Rangers	3	W			Sommaire du Match
18 - 2019-08-16	184	NEW YORK Rangers	1	OTTAWA Senators	2	L	X		Sommaire du Match
20 - 2019-08-18	202	NEW YORK Islanders	3	NEW YORK Rangers	4	W	X	X	Sommaire du Match
22 - 2019-08-20	213	OTTAWA Senators	3	NEW YORK Rangers	4	W			Sommaire du Match
24 - 2019-08-22	233	NEW YORK Rangers	1	WINNIPEG Jets	2	L	X	X	Sommaire du Match
25 - 2019-08-23	240	NEW YORK Rangers	1	VANCOUVER Canucks	2	L			Sommaire du Match
26 - 2019-08-24	249	NEW YORK Rangers	2	SEATTLE Totems	4	L			Sommaire du Match
27 - 2019-08-25	259	CALGARY Flames	2	NEW YORK Rangers	4	W			Sommaire du Match
30 - 2019-08-28	276	TAMPA BAY Lightning	2	NEW YORK Rangers	3	W			Sommaire du Match
31 - 2019-08-29	298	NEW YORK Rangers	3	TORONTO Maple Leafs	1	W			Sommaire du Match
32 - 2019-08-30	304	EDMONTON Oilers	3	NEW YORK Rangers	2	L			Sommaire du Match
34 - 2019-09-01	319	MINNESOTA Wild	3	NEW YORK Rangers	2	L			Sommaire du Match
35 - 2019-09-02	333	NEW YORK Rangers	5	WASHINGTON Capitals	2	W			Sommaire du Match
37 - 2019-09-04	341	CHICAGO Blackhawks	1	NEW YORK Rangers	3	W			Sommaire du Match
38 - 2019-09-05	362	NEW YORK Rangers	5	PITTSBURGH Penguins	3	W			Sommaire du Match
40 - 2019-09-07	370	NEW YORK Rangers	0	COLORADO Avalanche	2	L			Sommaire du Match
42 - 2019-09-09	384	MONTREAL Canadiens	2	NEW YORK Rangers	4	W			Sommaire du Match
43 - 2019-09-10	399	WINNIPEG Jets	3	NEW YORK Rangers	2	L	X	X	Sommaire du Match
45 - 2019-09-12	411	NEW YORK Rangers	1	VEGAS Golden Knights	2	L			Sommaire du Match
46 - 2019-09-13	425	PHILADELPHIA Flyers	1	NEW YORK Rangers	2	W			Sommaire du Match
47 - 2019-09-14	432	NEW YORK Rangers	4	PHILADELPHIA Flyers	2	W			Sommaire du Match
48 - 2019-09-15	449	NEW YORK Rangers	3	COLUMBUS Blue Jackets	2	W			Sommaire du Match
49 - 2019-09-16	455	TORONTO Maple Leafs	2	NEW YORK Rangers	0	L			Sommaire du Match
51 - 2019-09-18	477	NEW YORK Rangers	2	MINNESOTA Wild	1	W	X	X	Sommaire du Match
52 - 2019-09-19	481	NASHVILLE Predators	3	NEW YORK Rangers	2	L			Sommaire du Match
54 - 2019-09-21	504	DETROIT Red Wings	3	NEW YORK Rangers	4	W	X		Sommaire du Match
56 - 2019-09-23	525	MONTREAL Canadiens	2	NEW YORK Rangers	1	L	X		Sommaire du Match
57 - 2019-09-24	532	NEW YORK Rangers	4	CHICAGO Blackhawks	3	W	X	X	Sommaire du Match
58 - 2019-09-25	540	NEW YORK Rangers	1	DETROIT Red Wings	2	L			Sommaire du Match
59 - 2019-09-26	555	NEW YORK Rangers	3	ARIZONA Coyotes	1	W			Sommaire du Match
60 - 2019-09-27	566	ST-LOUIS Blues	1	NEW YORK Rangers	5	W			Sommaire du Match
62 - 2019-09-29	582	COLUMBUS Blue Jackets	1	NEW YORK Rangers	4	W			Sommaire du Match
64 - 2019-10-01	600	NEW YORK Rangers	3	NASHVILLE Predators	2	W			Sommaire du Match
65 - 2019-10-02	609	COLORADO Avalanche	3	NEW YORK Rangers	1	L			Sommaire du Match
66 - 2019-10-03	623	NEW YORK Rangers	3	NEW YORK Islanders	2	W			Sommaire du Match
67 - 2019-10-04	634	BOSTON Bruins	0	NEW YORK Rangers	2	W			Sommaire du Match
68 - 2019-10-05	649	NEW YORK Rangers	0	QUEBEC Nordiques	1	L			Sommaire du Match
69 - 2019-10-06	660	VANCOUVER Canucks	2	NEW YORK Rangers	4	W			Sommaire du Match
71 - 2019-10-08	679	NEW YORK Rangers	4	BOSTON Bruins	1	W			Sommaire du Match
72 - 2019-10-09	686	BOSTON Bruins	5	NEW YORK Rangers	6	W			Sommaire du Match
74 - 2019-10-11	705	SEATTLE Totems	4	NEW YORK Rangers	3	L			Sommaire du Match
75 - 2019-10-12	716	NEW YORK Rangers	2	OTTAWA Senators	5	L			Sommaire du Match
76 - 2019-10-13	727	NEW YORK Rangers	2	ANAHEIM Ducks	3	L			Sommaire du Match
77 - 2019-10-14	738	OTTAWA Senators	2	NEW YORK Rangers	1	L			Sommaire du Match
79 - 2019-10-16	755	NEW YORK Rangers	3	BOSTON Bruins	4	L	X	X	Sommaire du Match
80 - 2019-10-17	762	NEW YORK Rangers	2	PITTSBURGH Penguins	3	L			Sommaire du Match
81 - 2019-10-18	773	QUEBEC Nordiques	5	NEW YORK Rangers	4	L	X	X	Sommaire du Match
83 - 2019-10-20	790	QUEBEC Nordiques	2	NEW YORK Rangers	7	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22	811	PITTSBURGH Penguins	3	NEW YORK Rangers	2	L	X		Sommaire du Match
86 - 2019-10-23	825	NEW YORK Rangers	3	COLUMBUS Blue Jackets	2	W	X	X	Sommaire du Match
87 - 2019-10-24	833	NEW YORK Rangers	4	CALGARY Flames	2	W			Sommaire du Match
88 - 2019-10-25	843	VEGAS Golden Knights	0	NEW YORK Rangers	5	W			Sommaire du Match
89 - 2019-10-26	855	NEW YORK Rangers	5	TAMPA BAY Lightning	4	W			Sommaire du Match
90 - 2019-10-27	863	NEW YORK Rangers	4	PHILADELPHIA Flyers	2	W			Sommaire du Match
91 - 2019-10-28	876	WASHINGTON Capitals	3	NEW YORK Rangers	2	L			Sommaire du Match
93 - 2019-10-30	894	NEW YORK Rangers	2	QUEBEC Nordiques	4	L			Sommaire du Match
94 - 2019-10-31	903	ARIZONA Coyotes	1	NEW YORK Rangers	2	W			Sommaire du Match
95 - 2019-11-01	917	NEW YORK Islanders	3	NEW YORK Rangers	2	L			Sommaire du Match
96 - 2019-11-02	924	NEW YORK Rangers	2	TORONTO Maple Leafs	1	W			Sommaire du Match
97 - 2019-11-03	927	NEW YORK Rangers	2	MONTREAL Canadiens	3	L			Sommaire du Match
98 - 2019-11-04	945	NEW YORK Rangers	-	TAMPA BAY Lightning	-
99 - 2019-11-05	949	NEW YORK Rangers	-	ST-LOUIS Blues	-
100 - 2019-11-06	962	PITTSBURGH Penguins	-	NEW YORK Rangers	-
103 - 2019-11-09	983	ANAHEIM Ducks	-	NEW YORK Rangers	-
107 - 2019-11-13	1008	WASHINGTON Capitals	-	NEW YORK Rangers	-

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	167,213	142,072	60,765	137,289	24,342
Attendance PCT	77.41%	78.93%	84.40%	76.27%	67.62%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
3	14769 - 77.73%	2,410,718$	86,785,840$	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
76,297,136$	86,840,000$	86,840,000$	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
86,840,000$	75,230,136$	0$	23	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
7,232,153$	11	815,074$	8,965,814$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
9,077,634$	86,840,000$	44,652,149$	42,806,668$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Jordan Martinook	AGE:27	PO:59	OV:72
Mattias Janmark	AGE:26	PO:55	OV:70
Andre Burakovsky	AGE:24	PO:79	OV:69
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
Valtteri Filppula	AGE:35	PO:32	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
Derek MacKenzie	AGE:38	PO:24	OV:58
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
Aaron Ness	AGE:29	PO:61	OV:55
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
33	NYR	NYR	NYR	NYR	NYR	NYR	NYR
34		OTW NYR	NYR		NYR BOS	NYR	CGY 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

[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.
[2019-04-26 21:41:38] - Tony Romano has been deleted from NEW YORK Rangers.
[2019-04-26 21:41:34] - Tony Dehart has been deleted from NEW YORK Rangers.
[2019-04-26 21:41:30] - T.J. Galiardi has been deleted from NEW YORK Rangers.
[2019-04-26 21:41:23] - Sean Bergenheim has been deleted from NEW YORK Rangers.
[2019-04-26 21:41:17] - Pat Dwyer has been deleted from NEW YORK Rangers.
[2019-04-26 21:41:09] - Levko Koper has been deleted from NEW YORK Rangers.
[2019-04-26 21:41:02] - Jordan Bendfeld has been deleted from NEW YORK Rangers.
[2019-04-26 21:40:57] - Jonathan Matsumoto has been deleted from NEW YORK Rangers.
[2019-04-26 21:40:48] - Jay Harrison has been deleted from NEW YORK Rangers.
[2019-04-26 21:40:35] - Damien Brunner has been deleted from NEW YORK Rangers.
[2019-02-22 19:58:43] - TRADE : From VANCOUVER Canucks to NEW YORK Rangers : Alexander Kerfoot (71).
[2019-02-22 19:58:43] - TRADE : From NEW YORK Rangers to VANCOUVER Canucks : Jack Johnson (74), Y:33-RND:5-NYR.

[2019-11-16 22:21:20] Dustin Brown from NEW YORK Rangers is back from Groin Injury.
[2019-11-16 22:21:20] Nick Leddy from NEW YORK Rangers is back from Right Leg Injury.
[2019-11-16 22:21:20] NEW YORK Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-11-16 01:40:00] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-11-16 01:39:38] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2019-11-16 01:39:38] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2019-11-16 01:39:38] Jujhar Khaira of NEW YORK Rangers was sent to pro.
[2019-11-14 20:07:23] NEW YORK Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-11-14 20:07:21] Game 917 - Dustin Brown from NEW YORK Rangers is injured (Groin) and is out for 5 days.
[2019-11-14 20:07:21] Game 917 - Nick Leddy from NEW YORK Rangers is injured (Right Leg) and is out for 5 days.
[2019-11-13 21:11:16] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-11-12 20:22:58] Matt Dumba from NEW YORK Rangers is back from Bruised Left Foot Injury.
[2019-11-12 20:22:58] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-11-12 20:22:54] Game 894 - Matt Dumba from NEW YORK Rangers is injured (Bruised Left Foot) and is out for the game.
[2019-11-11 20:40:46] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-11-10 22:31:15] NEW YORK Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-11-09 21:10:12] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-11-08 20:18:25] NEW YORK Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-11-07 18:37:36] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-11-06 21:00:54] Ryan McDonagh from NEW YORK Rangers is back from Exhaustion.
[2019-11-06 21:00:54] NEW YORK Rangers lines for next game are empty. Current rosters/lines are not erased.
[2019-11-06 21:00:30] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2019-11-06 21:00:30] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2019-11-06 21:00:30] Nick Cousins of NEW YORK Rangers was sent to pro.
[2019-11-05 20:03:27] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-11-05 20:03:22] Ryan McDonagh from NEW YORK Rangers is injured from Exhaustion.
[2019-11-04 20:34:24] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-11-03 23:08:13] BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-11-02 20:15:51] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-11-02 20:11:37] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2019-11-01 19:53:11] Ryan Suter from NEW YORK Rangers is back from Exhaustion.
[2019-10-31 19:51:25] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-10-31 19:51:20] Ryan Suter from NEW YORK Rangers is injured from Exhaustion.
[2019-10-30 19:46:18] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-10-29 19:38:23] David Krejci from NEW YORK Rangers is back from Strained Right Knee Injury.
[2019-10-29 19:38:23] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-10-29 19:38:18] Game 755 - David Krejci from NEW YORK Rangers is injured (Strained Right Knee) and is out for 1 days.
[2019-10-27 19:07:09] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-10-26 18:41:22] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-10-25 20:12:16] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-10-24 23:02:36] Both NEW YORK Rangers and BROOKLYN Wolfpack lines for next game are empty. Current rosters/lines are not erased.
[2019-10-24 23:02:31] Anthony Mantha from NEW YORK Rangers has scored a Hat Trick!
[2019-10-24 23:02:19] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2019-10-24 23:02:19] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2019-10-24 23:02:19] Andre Burakovsky of NEW YORK Rangers was sent to pro.
[2019-10-22 19:09:34] Andre Burakovsky of NEW YORK Rangers was sent to farm.
[2019-10-22 19:09:34] 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.
[2019-10-22 19:09:01] Auto Lines Partial Function has been run for NEW YORK Rangers.
[2019-10-22 19:09:01] Auto Roster Partial Function has been run for NEW YORK Rangers.
[2019-10-22 19:09:01] Andre Burakovsky of NEW YORK Rangers was sent to pro.

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
32	73	32	27	0	1	5	4	4	192	173	19	36	18	11	0	1	3	1	2	102	80	22	37	14	16	0	0	2	3	2	90	93	-3	83	192	338	530	0	2	68	59	60	11	1999	625	675	675	49	1893	514	568	1245	329	66	20.06%	260	44	83.08%	1	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	1802	1259	1710	536	916	462
Total Saison Régulière	73	32	27	0	1	5	4	4	192	173	19	36	18	11	0	1	3	1	2	102	80	22	37	14	16	0	0	2	3	2	90	93	-3	83	192	338	530	0	2	68	59	60	11	1999	625	675	675	49	1893	514	568	1245	329	66	20.06%	260	44	83.08%	1	1260	2474	50.93%	1215	2397	50.69%	538	1046	51.43%	1802	1259	1710	536	916	462