Hartford Wolf Pack
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Statistiques d’équipe
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Blessure / Suspension
Statistiques de l'Équipe de Carrière

Centre de jeu
	NewYork Rangers 8-2-1, 17pts	6	Sommaire du match	4	NewYork Islanders 5-5-1, 11pts

Team Stats
SOL1	Séquence	SOW1
3-2-1	Fiche domicile	1-4-0
5-0-0	Fiche visiteur	4-1-1
7-2-1	Derniers 10 matchs	5-4-1
3.73	Buts par match	3.27
3.00	Buts contre par match	3.82
16.67%	Pourcentage en avantage numérique	25.00%
88.89%	Pourcentage en désavantage numérique	81.48%

NewYork Islanders
5-5-1, 11pts

Sommaire du match

NewYork Rangers
8-2-1, 17pts

Team Stats
SOW1	Séquence	SOL1
1-4-0	Fiche domicile	3-2-1
4-1-1	Fiche visiteur	5-0-0
5-4-1	Derniers 10 matchs	7-2-1
3.27	Buts par match	3.73
3.82	Buts contre par match	3.00
25.00%	Pourcentage en avantage numérique	16.67%
81.48%	Pourcentage en désavantage numérique	88.89%

NewYork Rangers
8-2-1, 17pts

Jour 29

Washington Capitals
3-6-2, 8pts

Statistiques d’équipe
SOL1	Séquence	L2
3-2-1	Fiche domicile	2-3-0
5-0-0	Fiche visiteur	1-3-2
7-2-1	10 derniers matchs	2-6-2
3.73	Buts par match	2.64
3.00	Buts contre par match	2.64
16.67%	Pourcentage en avantage numérique	24.00%
88.89%	Pourcentage en désavantage numérique	82.61%

NewYork Rangers
8-2-1, 17pts

Jour 32

Winnipeg Jets
3-6-1, 7pts

Statistiques d’équipe
SOL1	Séquence	L2
3-2-1	Fiche domicile	1-4-1
5-0-0	Fiche visiteur	2-2-0
7-2-1	10 derniers matchs	3-6-1
3.73	Buts par match	2.60
3.00	Buts contre par match	2.60
16.67%	Pourcentage en avantage numérique	17.24%
88.89%	Pourcentage en désavantage numérique	86.11%

Washington Capitals
3-6-2, 8pts

Jour 35

NewYork Rangers
8-2-1, 17pts

Statistiques d’équipe
L2	Séquence	SOL1
2-3-0	Fiche domicile	3-2-1
1-3-2	Fiche visiteur	5-0-0
2-6-2	10 derniers matchs	7-2-1
2.64	Buts par match	3.73
3.36	Buts contre par match	3.73
24.00%	Pourcentage en avantage numérique	16.67%
82.61%	Pourcentage en désavantage numérique	88.89%

Meneurs d'équipe
Buts Steven Stamkos 8			Passes Adam Fantilli 12

Points Cole Caufield 18			Plus/Moins Cole Caufield 13

Victoires Igor Shesterkin 7			Pourcentage d’arrêts Brandon Bussi 0.938

Statistiques d’équipe
Buts pour 41 3.73 GFG	Tirs pour 349 31.73 Avg	Pourcentage en avantage numérique 16.7% 6 GF	Début de zone offensive 35.2%
Buts contre 33 3.00 GAA	Tirs contre 386 35.09 Avg	Pourcentage en désavantage numérique 88.9%% 3 GA	Début de la zone défensive 40.5%

Informations de l'équipe
	Directeur général	Charles Verville
	Entraîneur	Todd McLellan
	Division	Metropolitan
	Conférence	Eastern
	Capitaine	Phillip Danault
	Assistant #1	Chris Kreider
	Assistant #2
Informations de l’aréna
	Nom	Madison Square Garden
	Capacité	17,200
	Assistance	12,142
	Billets de saison	6,880
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	23
	Limite Contrat	46 / 72
	Espoirs	63
Plafond salarial
	Cap Salarial de la Saison estimé	112,581,214$
	Plafond salarial disponible	1,918,786$
	Valeur du plafond salarial spécial	-3,500,000$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	13,941,632$
	Dépenses annuelles à ce jour	14,745,968$
	Revenus de la saison estimés	85,973,397$
	Dépenses de la saison estimées	104,335,270$
	Compte bancaire actuel	119,490,002$
	Compte bancaire projeté	103,151,535$

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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	Âge	Contrat	Salaire
1	Mark Scheifele	0	X				99.00	68	57	71	81	82	91	94	92	72	90	90	73	88	90	86	1	40	80	0	33	1	8,500,000$
2	Cole Caufield	0		X	X		97.00	70	41	93	94	72	88	84	93	50	81	94	72	94	73	63	1	40	79	0	25	7	7,850,000$
3	Steven Stamkos	0	X	X	X		99.00	72	41	70	83	76	89	93	89	84	79	91	70	88	93	87	1	40	78	0	36	1	8,000,000$
4	Mikael Granlund	0	X		X		98.00	68	40	85	81	73	90	92	84	74	80	79	74	81	89	79	1	40	76	0	34	1	7,000,000$
5	Chris Kreider (A)	0		X			100.00	71	40	79	74	87	88	92	85	50	76	82	71	80	89	81	1	40	75	0	35	3	2,150,000$
6	Adam Fantilli	0	X				100.00	77	54	80	83	85	89	78	88	71	79	82	72	84	59	50	1	40	75	0	22	3	13,750,000$
7	Trevor Zegras	0	X	X			99.00	69	43	73	82	77	89	83	84	60	80	78	69	82	73	63	1	40	74	0	25	8	9,125,000$
8	Phillip Danault (C)	12	X				100.00	72	41	85	75	79	87	91	78	81	75	69	77	74	87	79	1	40	73	0	33	2	5,500,000$
9	Drew O'Connor	0		X	X		100.00	74	50	74	76	84	86	84	81	67	73	76	75	77	73	63	1	40	72	0	28	7	2,500,000$
10	Luke Evangelista	0			X		99.00	67	41	84	80	77	86	80	85	40	81	73	69	79	63	53	1	40	72	0	24	9	3,000,000$
11	Beckett Sennecke	0			X		100.00	72	42	66	77	84	86	73	86	44	80	79	66	81	54	50	1	40	72	0	20	2	942,500$
12	Matthew Wood	0	X		X		100.00	70	40	90	76	84	81	75	78	62	71	76	68	77	56	50	1	40	69	0	21	2	950,000$
13	Josh Morrissey	0				X	99.00	67	40	82	88	77	93	90	90	40	85	83	82	87	85	81	1	40	79	0	31	1	6,250,000$
14	Mattias Ekholm	0				X	97.00	70	42	78	75	86	89	93	85	40	80	74	90	78	90	80	1	40	78	0	36	2	4,000,000$
15	Jaccob Slavin	0				X	100.00	60	40	87	79	82	90	84	75	40	71	66	90	74	85	81	1	40	76	0	32	2	6,395,955$
16	Dmitry Orlov	0				X	99.00	74	40	76	74	80	89	94	81	40	79	68	75	74	90	80	1	40	75	0	35	2	6,500,000$
17	Tom Willander	0				X	100.00	66	40	80	81	76	84	73	74	40	73	68	72	75	54	50	1	40	69	0	21	2	950,000$
18	Charle-Edouard D'Astous	0				X	100.00	71	63	55	71	78	84	71	74	40	72	68	72	71	53	50	1	40	67	0	28	2	875,000$
Rayé
1	Brandon Duhaime	0		X			100.00	81	87	64	74	83	83	83	72	49	67	67	75	71	68	58	1	40	69	0	29	2	1,850,000$
2	Adam Pelech	0				X	100.00	71	43	73	77	83	92	89	77	40	74	66	91	73	85	75	1	40	77	0	32	3	5,750,000$
Équipe Mineure
1	Tim Washe	0	X				99.00	68	40	77	71	86	80	64	66	75	61	61	67	66	55	50	1	40	62	0	25	1	812,500$
2	Quinn Hutson	0		X	X		100.00	54	48	62	71	63	70	62	66	43	63	63	57	67	52	50	1	40	59	0	24	2	875,000$
3	Dylan Duke	0		X	X		100.00	57	44	65	70	60	65	63	64	63	62	63	57	66	51	50	1	40	58	0	23	1	867,500$
4	Luca Pinelli (R)	0	X	X	X		100.00	60	47	61	70	60	62	61	65	43	64	60	60	64	50	50	1	40	58	0	21	2	888,333$
5	Juraj Pekarcik (R)	0		X			100.00	62	41	72	63	66	60	60	62	42	62	60	60	61	50	50	1	40	57	0	21	2	888,333$
6	Aiden Fink (R)	0			X		100.00	60	40	68	66	60	60	60	60	41	60	60	60	60	50	50	1	40	56	0	21	2	950,000$
7	Viljami Marjala (R)	0		X			100.00	52	41	69	67	55	63	61	62	61	62	55	54	61	51	50	1	40	56	0	23	1	910,000$
8	Nikita Prishchepov	0	X				100.00	62	42	67	65	64	61	59	58	42	56	53	60	59	50	50	1	40	55	0	22	1	806,667$
9	Justin Carbonneau (R)	0			X		100.00	60	40	70	60	50	50	50	50	40	50	50	60	50	50	50	50	40	51	0	19	3	974,167$
10	Roman Kantserov (R)	0	X	X			100.00	60	40	70	60	50	50	60	50	60	50	50	60	50	50	50	1	40	51	0	22	3	1,075,000$
11	Kieron Walton (R)	0	X	X			100.00	60	40	70	60	50	50	60	50	60	50	50	60	50	50	54	1	40	51	0	20	3	955,556$
12	Vitali Pinchuk (R)	0	X				100.00	60	40	70	60	50	50	60	50	60	50	50	60	50	50	50	1	40	51	0	24	3	1,025,000$
13	Ethan Del Mastro	0				X	100.00	63	41	74	73	86	83	65	67	40	62	61	68	67	58	50	1	40	64	0	23	2	950,000$
14	Frederic Brunet	0				X	99.00	66	43	70	71	65	63	61	65	40	62	60	69	66	50	50	1	40	60	0	23	2	875,000$
15	Tristan Luneau	0				X	100.00	60	42	70	71	65	65	63	67	40	65	62	68	67	50	50	1	40	60	0	22	2	896,667$
16	Kevin Gravel	0				X	100.00	56	43	68	60	66	71	71	62	40	56	53	60	58	70	66	1	40	58	0	34	1	800,000$
17	Dominik Badinka (R)	0				X	100.00	62	41	71	69	63	60	60	62	40	60	60	65	63	50	50	1	40	58	0	20	2	888,283$
18	Stian Solberg	0				X	100.00	62	53	60	66	66	59	56	62	40	56	60	61	63	50	50	1	40	57	0	20	2	975,000$
19	Quentin Musty	0		X			94.52	60	43	64	64	66	60	60	65	43	62	61	60	63	50	50	1	40	57	0	21	2	886,666$
20	Sam Rinzel	0				X	88.41	64	40	68	74	81	87	67	71	40	67	65	69	70	55	50	1	40	65	0	22	2	941,667$
21	Daniel Nieminen (R)	0				X	100.00	60	40	70	60	50	50	60	50	20	50	50	60	50	50	50	1	40	52	0	20	3	975,000$

	MOYENNE D’ÉQUIPE						99.17	65	44	73	72	71	75	73	71	50	68	67	68	70	63	59	2	40	65

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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	Âge	Contrat	Salaire
1	Brandon Bussi	0	97.00	83	75	78	82	83	82	82	81	81	81	72	55	50	1	40	76	0	28	1	1,900,000$
2	Jacob Fowler	0	100.00	75	67	66	82	72	73	74	73	74	71	67	54	50	1	40	69	0	21	2	923,333$
Rayé
1	Igor Shesterkin	0	95.00	94	91	92	79	94	92	92	92	92	94	87	75	68	1	40	86	0	30	5	11,500,000$
Équipe Mineure
1	Isak Posch (R)	0	98.00	63	60	62	70	64	63	65	62	64	63	56	52	50	1	40	60	0	24	1	800,000$
2	Nolan Lalonde (R)	0	100.00	62	54	54	65	60	57	59	54	59	58	50	50	50	1	40	56	0	22	1	815,000$

	MOYENNE D’ÉQUIPE		98.00	75	69	70	76	75	73	74	72	74	73	66	57	54	1	40	69

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd McLellan	80	83	82	88	91	85	1	CAN	58	1	3,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Cole Caufield	NewYork Rangers	LW/RW	11	7	11	18	13	0	11	13	48	22	21	14.58%	2	225	20.48	0	1	1	8	26	20	0	1	42.86%	14	7	2	0	0	1.60	0	1	2	1	2
2	Adam Fantilli	NewYork Rangers	C	11	5	12	17	6	0	14	23	38	8	20	13.16%	2	193	17.57	2	3	5	5	28	0	2	0	49.38%	241	6	2	0	0	1.76	0	0	1	2	0
3	Mark Scheifele	NewYork Rangers	C	11	7	10	17	13	6	14	26	44	13	19	15.91%	8	218	19.90	1	0	1	4	26	17	0	0	52.00%	275	5	5	0	1	1.55	0	1	3	0	1
4	Steven Stamkos	NewYork Rangers	C/LW/RW	11	8	7	15	3	18	23	8	43	14	25	18.60%	3	214	19.51	3	1	4	4	28	14	0	2	56.25%	16	8	6	0	1	1.40	0	1	1	2	0
5	Luke Evangelista	NewYork Rangers	RW	11	6	5	11	4	2	12	9	31	11	15	19.35%	1	195	17.77	0	4	4	4	27	0	3	0	46.67%	15	6	7	1	0	1.13	0	0	1	0	1
6	Mikael Granlund	NewYork Rangers	C/RW	11	5	5	10	12	0	11	11	21	3	7	23.81%	3	221	20.16	0	0	0	2	26	21	1	0	51.43%	35	4	5	0	0	0.90	1	1	1	1	0
7	Josh Morrissey	NewYork Rangers	D	11	0	7	7	2	4	15	15	9	14	14	0%	17	280	25.48	0	0	0	0	26	19	0	0	0%	0	10	15	0	0	0.50	0	0	0	0	1
8	Jaccob Slavin	NewYork Rangers	D	11	0	4	4	-1	0	6	11	15	11	7	0%	22	255	23.26	0	0	0	2	28	23	0	0	0%	0	1	4	0	0	0.31	0	0	0	0	0
9	Adam Pelech	NewYork Rangers	D	7	0	3	3	2	6	5	11	6	4	2	0%	12	146	20.98	0	0	0	3	13	15	0	0	0%	0	1	6	0	0	0.41	0	0	0	0	0
10	Tom Willander	NewYork Rangers	D	11	0	2	2	7	0	7	5	1	1	0	0%	9	126	11.51	0	0	0	0	0	0	0	0	0%	0	1	3	0	0	0.32	0	0	0	1	0
11	Drew O'Connor	NewYork Rangers	LW/RW	11	0	1	1	-5	0	6	9	10	5	7	0%	1	94	8.56	0	0	0	0	1	2	0	0	60.00%	5	2	2	0	0	0.21	0	0	0	0	0
12	Chris Kreider	NewYork Rangers	LW	11	1	0	1	-5	0	8	10	14	10	11	7.14%	4	138	12.61	0	0	0	0	1	7	0	0	75.00%	4	3	2	0	0	0.14	0	1	0	0	0
13	Dmitry Orlov	NewYork Rangers	D	11	0	1	1	-1	0	8	9	5	2	3	0%	13	189	17.22	0	1	1	1	15	9	0	0	0%	0	2	6	0	0	0.11	0	0	0	0	0
14	Phillip Danault	NewYork Rangers	C	11	1	0	1	-6	0	10	8	12	4	8	8.33%	6	104	9.50	0	0	0	0	0	0	1	0	58.33%	48	1	2	0	0	0.19	0	0	0	0	0
15	Mattias Ekholm	NewYork Rangers	D	11	0	1	1	1	6	9	18	7	2	6	0%	22	281	25.63	0	0	0	2	26	19	0	0	0%	0	3	16	0	0	0.07	0	0	0	0	0
16	Beckett Sennecke	NewYork Rangers	RW	11	1	0	1	-6	4	6	8	16	8	18	6.25%	7	126	11.47	0	0	0	0	0	0	1	0	0%	4	3	3	0	0	0.16	0	0	0	0	1
17	Charle-Edouard D'Astous	NewYork Rangers	D	4	0	1	1	2	2	5	2	3	0	0	0%	0	46	11.61	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0.43	0	0	0	0	0
18	Trevor Zegras	NewYork Rangers	C/LW	11	0	0	0	-7	4	5	7	21	11	15	0%	3	119	10.87	0	0	0	0	0	2	0	0	37.50%	64	5	3	0	0	0	0	0	0	0	0
19	Matthew Wood	NewYork Rangers	C/RW	11	0	0	0	-5	0	5	8	5	1	1	0%	1	86	7.83	0	0	0	0	1	0	0	0	47.83%	23	4	2	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				198	41	70	111	29	52	180	211	349	144	199	11.75%	136	3265	16.49	6	10	16	35	279	174	8	3	49.87%	744	72	91	1	2	0.68	1	5	9	7	6

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	PS %	PSA	ST	BG	S2	S3
1	Igor Shesterkin	NewYork Rangers	8	7	1	0	0.909	3.13	480	2	25	274	113	1	0	0	8	0	1	1
2	Brandon Bussi	NewYork Rangers	3	1	1	1	0.938	2.27	185	0	7	112	50	0	0.600	5	3	8	1	0
Statistiques d’équipe totales ou en moyenne			11	8	2	1	0.917	2.89	665	2	32	386	163	1		5	11	8	2	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Adam Fantilli	NewYork Rangers	C	22	2004-10-12	CAN	No	205 Lbs	6 ft2	No	No	N/A		No	Yes	3	2026-10-01	False	False	Pro & Farm	13,750,000$	12,039,171$	13,750,000$	12,039,171$	No	13,750,000$	13,750,000$	-	-	-	-	-	-	-	13,750,000$	13,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Adam Pelech	NewYork Rangers	D	32	1994-08-16	CAN	No	212 Lbs	6 ft3	No	No	Trade	2026-03-06	No	Yes	3	2026-03-22	False	False	Pro & Farm	5,750,000$	5,034,562$	5,750,000$	5,034,562$	No	5,750,000$	5,750,000$	-	-	-	-	-	-	-	5,750,000$	5,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Beckett Sennecke	NewYork Rangers	RW	20	2006-01-28	CAN	No	206 Lbs	6 ft3	No	No	Prospect		No	Yes	2	2025-12-08	False	False	Pro & Farm	942,500$	825,230$	942,500$	825,230$	No	942,500$	-	-	-	-	-	-	-	-	942,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Brandon Bussi	NewYork Rangers	G	28	1998-06-25	USA	No	218 Lbs	6 ft4	No	No	Trade	2025-11-02	No	Yes	1	2026-06-09	False	False	Pro & Farm	1,900,000$	1,663,594$	1,900,000$	1,663,594$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Brandon Duhaime (contrat à 1 volet)	NewYork Rangers	LW	29	1997-05-22	USA	No	210 Lbs	6 ft2	No	No	Free Agent		No	Yes	2	2025-07-16	False	False	Pro & Farm	1,850,000$	1,619,816$	1,850,000$	1,619,816$	No	1,850,000$	-	-	-	-	-	-	-	-	1,850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Charle-Edouard D'Astous	NewYork Rangers	D	28	1998-04-21	CAN	No	211 Lbs	6 ft2	No	No	Trade	2026-07-12	No	Yes	2	2026-09-12	False	False	Pro & Farm	875,000$	766,129$	875,000$	766,129$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Chris Kreider	NewYork Rangers	LW	35	1991-04-30	USA	No	232 Lbs	6 ft3	No	No	N/A		No	Yes	3	2026-09-14	False	False	Pro & Farm	2,150,000$	1,882,488$	2,150,000$	1,882,488$	No	2,150,000$	2,150,000$	-	-	-	-	-	-	-	2,150,000$	2,150,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Cole Caufield	NewYork Rangers	LW/RW	25	2001-01-02	USA	No	175 Lbs	5 ft8	No	No	N/A		No	Yes	7		False	False	Pro & Farm	7,850,000$	6,873,272$	7,850,000$	6,873,272$	No	7,850,000$	7,850,000$	7,850,000$	7,850,000$	7,850,000$	7,850,000$	-	-	-	7,850,000$	7,850,000$	7,850,000$	7,850,000$	7,850,000$	7,850,000$	-	-	-	No	No	No	No	No	No	-	-	-
Dmitry Orlov	NewYork Rangers	D	35	1991-07-23	RUS	No	215 Lbs	5 ft11	No	No	Free Agent		No	Yes	2	2025-07-19	False	False	Pro & Farm	6,500,000$	5,691,244$	6,500,000$	5,691,244$	No	6,500,000$	-	-	-	-	-	-	-	-	6,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Drew O'Connor	NewYork Rangers	LW/RW	28	1998-06-09	USA	No	209 Lbs	6 ft4	No	No	Trade	2026-03-22	No	Yes	7	2025-06-16	False	False	Pro & Farm	2,500,000$	2,188,940$	2,500,000$	2,188,940$	No	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	-	-	-	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	-	-	-	No	No	No	No	No	No	-	-	-
Igor Shesterkin	NewYork Rangers	G	30	1995-12-30	RUS	No	199 Lbs	6 ft1	No	No	N/A		No	Yes	5	2025-06-16	False	False	Pro & Farm	11,500,000$	10,069,124$	11,500,000$	10,069,124$	No	11,500,000$	11,500,000$	11,500,000$	11,500,000$	-	-	-	-	-	11,500,000$	11,500,000$	11,500,000$	11,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Jaccob Slavin	NewYork Rangers	D	32	1994-05-01	USA	No	207 Lbs	6 ft3	No	No	Trade	2026-08-29	No	Yes	2	2025-11-06	False	False	Pro & Farm	6,395,955$	5,600,145$	6,395,955$	5,600,145$	No	6,395,955$	-	-	-	-	-	-	-	-	6,395,955$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jacob Fowler	NewYork Rangers	G	21	2004-11-24	USA	No	223 Lbs	6 ft1	No	No	Prospect		No	Yes	2	2025-09-20	False	False	Pro & Farm	923,333$	808,448$	923,333$	808,448$	No	923,333$	-	-	-	-	-	-	-	-	923,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Josh Morrissey	NewYork Rangers	D	31	1995-03-28	CAN	No	195 Lbs	6 ft0	No	No	Trade	2024-11-13	No	Yes	1		False	False	Pro & Farm	6,250,000$	5,472,350$	6,250,000$	5,472,350$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Luke Evangelista	NewYork Rangers	RW	24	2002-02-21	CAN	No	183 Lbs	6 ft0	No	No	Trade	2026-09-03	No	Yes	9	2026-06-28	False	False	Pro & Farm	3,000,000$	2,626,728$	3,000,000$	2,626,728$	No	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	-	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	-	No	No	No	No	No	No	No	No	-
Mark Scheifele	NewYork Rangers	C	33	1993-03-15	CAN	No	207 Lbs	6 ft3	No	No	N/A		No	Yes	1		False	False	Pro & Farm	8,500,000$	7,442,396$	8,500,000$	7,442,396$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matthew Wood	NewYork Rangers	C/RW	21	2005-02-06	CAN	No	202 Lbs	6 ft4	No	No	Prospect		No	Yes	2	2025-09-20	False	False	Pro & Farm	950,000$	831,797$	950,000$	831,797$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mattias Ekholm	NewYork Rangers	D	36	1990-05-24	SWE	No	225 Lbs	6 ft5	No	No	Free Agent	2024-10-20	No	Yes	2	2026-06-09	False	False	Pro & Farm	4,000,000$	3,502,304$	4,000,000$	3,502,304$	No	4,000,000$	-	-	-	-	-	-	-	-	4,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mikael Granlund	NewYork Rangers	C/RW	34	1992-02-26	FIN	No	193 Lbs	5 ft10	No	No	Trade	2026-06-15	No	Yes	1	2025-07-01	False	False	Pro & Farm	7,000,000$	6,129,032$	7,000,000$	6,129,032$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Phillip Danault	NewYork Rangers	C	33	1993-02-24	CAN	No	200 Lbs	6 ft1	No	No	N/A		No	Yes	2	2025-03-26	False	False	Pro & Farm	5,500,000$	4,815,668$	5,500,000$	4,815,668$	No	5,500,000$	-	-	-	-	-	-	-	-	5,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Steven Stamkos	NewYork Rangers	C/LW/RW	36	1990-02-07	CAN	No	193 Lbs	6 ft1	No	No	Trade	2024-10-20	No	Yes	1		False	False	Pro & Farm	8,000,000$	7,004,608$	8,000,000$	7,004,608$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tom Willander	NewYork Rangers	D	21	2005-02-09	SWE	No	180 Lbs	6 ft1	No	No	Prospect		No	Yes	2	2026-03-11	False	False	Pro & Farm	950,000$	831,797$	950,000$	831,797$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Trevor Zegras	NewYork Rangers	C/LW	25	2001-03-20	USA	No	185 Lbs	6 ft0	No	No	Trade	2025-06-27	No	Yes	8	2026-07-15	False	False	Pro & Farm	9,125,000$	7,989,631$	9,125,000$	7,989,631$	No	9,125,000$	9,125,000$	9,125,000$	9,125,000$	9,125,000$	9,125,000$	9,125,000$	-	-	9,125,000$	9,125,000$	9,125,000$	9,125,000$	9,125,000$	9,125,000$	9,125,000$	-	-	No	No	No	No	No	No	No	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	28.65	204 Lbs	6 ft2	3.04	5,050,513$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
116,161,788$	84,511,788$	55,625,000$	33,975,000$	33,975,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Cole Caufield	Mark Scheifele	Mikael Granlund	35	1	2	2
2	Steven Stamkos	Trevor Zegras	Luke Evangelista	35	1	2	2
3	Chris Kreider	Adam Fantilli	Beckett Sennecke	20	1	2	2
4	Matthew Wood	Phillip Danault	Drew O'Connor	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey	Mattias Ekholm	35	1	2	2
2	Jaccob Slavin	Dmitry Orlov	35	1	2	2
3	Tom Willander	Charle-Edouard D'Astous	20	1	2	2
4	Josh Morrissey	Mattias Ekholm	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Cole Caufield	Mark Scheifele	Mikael Granlund	50	1	2	2
2	Steven Stamkos	Adam Fantilli	Luke Evangelista	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey	Mattias Ekholm	50	1	2	2
2	Jaccob Slavin	Dmitry Orlov	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mark Scheifele	Cole Caufield	50	1	2	2
2	Mikael Granlund	Steven Stamkos	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey	Mattias Ekholm	50	1	2	2
2	Jaccob Slavin	Dmitry Orlov	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Mark Scheifele	50	1	2	2	Josh Morrissey	Mattias Ekholm	50	1	2	2
2	Mikael Granlund	50	1	2	2	Jaccob Slavin	Dmitry Orlov	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mark Scheifele	Cole Caufield	50	1	2	2
2	Mikael Granlund	Steven Stamkos	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey	Mattias Ekholm	50	1	2	2
2	Jaccob Slavin	Dmitry Orlov	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Cole Caufield	Mark Scheifele	Mikael Granlund	Josh Morrissey	Mattias Ekholm

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Steven Stamkos	Adam Fantilli	Luke Evangelista	Jaccob Slavin	Dmitry Orlov

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Chris Kreider, Adam Fantilli, Trevor Zegras	Chris Kreider, Adam Fantilli	Chris Kreider

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Dmitry Orlov, Tom Willander, Charle-Edouard D'Astous	Dmitry Orlov	Dmitry Orlov, Tom Willander

Tirs de pénalité
Mark Scheifele, Cole Caufield, Steven Stamkos, Mikael Granlund, Chris Kreider

Gardien
#1 : Brandon Bussi, #2 : Jacob Fowler

Lignes d’attaque personnalisées en prolongation
, , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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

	Total												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	RI
1	Carolina Hurricanes	2	1	1	0	0	0	0	0	10	12	-2	1	0	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	6	5	1	2	0.500	10	16	26	0	0	5	3	2	0	74	32	20	22	0	76	32	2	31	10	1	10.00%	1	0	100.00%	0	128	261	49.04%	148	300	49.33%	95	180	52.78%	46	29	40	16	32	17
2	Dallas Stars	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	23	12	7	4	0	40	15	10	14	2	0	0.00%	5	0	100.00%	0	128	261	49.04%	148	300	49.33%	95	180	52.78%	19	10	23	8	17	8
3	NewYork Islanders	2	1	0	0	0	0	0	1	9	8	1	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	6	4	2	3	0.750	9	15	24	0	0	2	3	4	1	65	17	14	33	6	83	27	6	39	6	3	50.00%	3	2	33.33%	0	128	261	49.04%	148	300	49.33%	95	180	52.78%	44	26	44	16	36	19
4	Philadelphia Flyers	4	4	0	0	0	0	0	0	14	6	8	2	2	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	7	3	4	8	1.000	14	25	39	0	0	4	3	7	0	122	46	34	42	0	138	44	20	61	12	2	16.67%	10	1	90.00%	0	128	261	49.04%	148	300	49.33%	95	180	52.78%	83	48	86	34	69	35
5	Pittsburgh Penguins	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	12	19	0	0	1	3	3	0	65	21	24	20	0	49	18	16	35	6	0	0.00%	8	0	100.00%	0	128	261	49.04%	148	300	49.33%	95	180	52.78%	42	23	42	19	34	16
	Total	11	8	2	0	0	0	0	1	41	33	8	6	3	2	0	0	0	0	1	19	19	0	5	5	0	0	0	0	0	0	22	14	8	17	0.773	41	70	111	0	0	13	12	16	1	349	128	99	121	6	386	136	54	180	36	6	16.67%	27	3	88.89%	0	128	261	49.04%	148	300	49.33%	95	180	52.78%	235	138	237	95	191	97
	_Since Last GM Reset	11	8	2	0	0	0	0	1	41	33	8	6	3	2	0	0	0	0	1	19	19	0	5	5	0	0	0	0	0	0	22	14	8	17	0.773	41	70	111	0	0	13	12	16	1	349	128	99	121	6	386	136	54	180	36	6	16.67%	27	3	88.89%	0	128	261	49.04%	148	300	49.33%	95	180	52.78%	235	138	237	95	191	97
	_Vs Conference	10	8	1	0	0	0	0	1	40	30	10	5	3	1	0	0	0	0	1	18	16	2	5	5	0	0	0	0	0	0	22	14	8	17	0.850	40	68	108	0	0	12	12	16	1	326	116	92	117	6	346	121	44	166	34	6	17.65%	22	3	86.36%	0	128	261	49.04%	148	300	49.33%	95	180	52.78%	216	127	214	86	174	88
	_Vs Division	10	8	1	0	0	0	0	1	40	30	10	5	3	1	0	0	0	0	1	18	16	2	5	5	0	0	0	0	0	0	22	14	8	17	0.850	40	68	108	0	0	12	12	16	1	326	116	92	117	6	346	121	44	166	34	6	17.65%	22	3	86.36%	0	128	261	49.04%	148	300	49.33%	95	180	52.78%	216	127	214	86	174	88

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
11	17	SOL1	41	70	111	349	386	136	54	180	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	8	2	0	0	0	1	41	33

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	2	0	0	0	1	19	19

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	5	0	0	0	0	0	22	14

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
7	2	0	0	0	1

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
36	6	16.67%	27	3	88.89%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
128	99	121	6	13	12	16	1

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
128	261	49.04%	148	300	49.33%	95	180	52.78%

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
235	138	237	95	191	97

Derniers matchs 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
3	15	Philadelphia Flyers	1	NewYork Rangers	4	W			Sommaire du match
5	26	NewYork Rangers	3	Philadelphia Flyers	2	W			Sommaire du match
7	38	Philadelphia Flyers	2	NewYork Rangers	3	W			Sommaire du match
9	52	NewYork Rangers	4	Philadelphia Flyers	1	W			Sommaire du match
13	67	Dallas Stars	3	NewYork Rangers	1	L			Sommaire du match
15	81	NewYork Rangers	3	Pittsburgh Penguins	2	W			Sommaire du match
18	92	Pittsburgh Penguins	2	NewYork Rangers	4	W			Sommaire du match
21	105	NewYork Rangers	6	Carolina Hurricanes	5	W			Sommaire du match
23	116	Carolina Hurricanes	7	NewYork Rangers	4	L			Sommaire du match
24	125	NewYork Rangers	6	NewYork Islanders	4	W			Sommaire du match
27	139	NewYork Islanders	4	NewYork Rangers	3	L	X	X	Sommaire du match
29	149	NewYork Rangers	-	Washington Capitals	-
32	166	NewYork Rangers	-	Winnipeg Jets	-
35	177	Washington Capitals	-	NewYork Rangers	-
37	191	Philadelphia Flyers	-	NewYork Rangers	-
39	204	NewYork Rangers	-	Philadelphia Flyers	-
41	214	NewYork Rangers	-	Carolina Hurricanes	-
44	229	St-Louis Blues	-	NewYork Rangers	-
47	244	Los Angeles Kings	-	NewYork Rangers	-
50	264	Tampa Bay Lightning	-	NewYork Rangers	-
54	283	NewYork Rangers	-	Philadelphia Flyers	-
56	292	NewYork Rangers	-	St-Louis Blues	-
57	299	Buffalo Sabres	-	NewYork Rangers	-
60	311	NewYork Rangers	-	Minnesota Wild	-
62	321	Vancouver Canucks	-	NewYork Rangers	-
66	343	NewYork Rangers	-	Winnipeg Jets	-
67	350	Nashville Predators	-	NewYork Rangers	-
72	371	Carolina Hurricanes	-	NewYork Rangers	-
74	380	NewYork Rangers	-	Carolina Hurricanes	-
76	396	NewYork Rangers	-	Colorado Avalanche	-
78	402	Colorado Avalanche	-	NewYork Rangers	-
83	425	Boston Bruins	-	NewYork Rangers	-
88	447	Washington Capitals	-	NewYork Rangers	-
90	461	NewYork Rangers	-	Vegas Golden Knights	-
92	471	Chicago Blackhawks	-	NewYork Rangers	-
96	491	NewYork Rangers	-	Toronto Maple Leafs	-
98	501	Buffalo Sabres	-	NewYork Rangers	-
101	522	Ottawa Senateurs	-	NewYork Rangers	-
103	533	NewYork Rangers	-	Ottawa Senateurs	-
105	546	NewYork Rangers	-	Vancouver Canucks	-
106	552	NewYork Islanders	-	NewYork Rangers	-
109	567	NewYork Rangers	-	Tampa Bay Lightning	-
111	576	Winnipeg Jets	-	NewYork Rangers	-
114	593	NewYork Rangers	-	Boston Bruins	-
116	604	NewYork Islanders	-	NewYork Rangers	-
120	620	NewYork Rangers	-	Los Angeles Kings	-
122	630	Tampa Bay Lightning	-	NewYork Rangers	-
126	651	NewYork Rangers	-	Pittsburgh Penguins	-
127	659	SanJose Sharks	-	NewYork Rangers	-
129	672	NewYork Rangers	-	Buffalo Sabres	-
132	683	Seattle Kraken	-	NewYork Rangers	-
135	702	Carolina Hurricanes	-	NewYork Rangers	-
137	714	NewYork Rangers	-	NewYork Islanders	-
139	725	NewYork Rangers	-	Boston Bruins	-
142	732	Dallas Stars	-	NewYork Rangers	-
147	756	NewYork Rangers	-	Pittsburgh Penguins	-
148	762	Washington Capitals	-	NewYork Rangers	-
151	780	NewYork Rangers	-	Washington Capitals	-
152	786	Vegas Golden Knights	-	NewYork Rangers	-
157	808	NewYork Rangers	-	Philadelphia Flyers	-
158	814	Minnesota Wild	-	NewYork Rangers	-
162	834	Dallas Stars	-	NewYork Rangers	-
164	840	NewYork Rangers	-	Ottawa Senateurs	-
168	862	Detroit Red Wings	-	NewYork Rangers	-
172	885	NewYork Rangers	-	Montreal Canadiens	-
173	890	Anaheim Ducks	-	NewYork Rangers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177	911	NewYork Rangers	-	Washington Capitals	-
178	918	Toronto Maple Leafs	-	NewYork Rangers	-
182	939	Philadelphia Flyers	-	NewYork Rangers	-
186	963	NewYork Rangers	-	Montreal Canadiens	-
187	966	Toronto Maple Leafs	-	NewYork Rangers	-
189	981	NewYork Rangers	-	Seattle Kraken	-
191	991	Montreal Canadiens	-	NewYork Rangers	-
193	1003	NewYork Rangers	-	NewYork Islanders	-
195	1014	NewYork Rangers	-	Nashville Predators	-
196	1017	Montreal Canadiens	-	NewYork Rangers	-
198	1034	NewYork Rangers	-	Chicago Blackhawks	-
200	1042	Philadelphia Flyers	-	NewYork Rangers	-
202	1049	NewYork Rangers	-	Anaheim Ducks	-
205	1061	NewYork Rangers	-	Detroit Red Wings	-
207	1069	Pittsburgh Penguins	-	NewYork Rangers	-
208	1071	NewYork Rangers	-	SanJose Sharks	-
210	1085	NewYork Rangers	-	Detroit Red Wings	-
211	1094	NewYork Rangers	-	Dallas Stars	-
213	1100	Pittsburgh Penguins	-	NewYork Rangers	-
215	1110	NewYork Rangers	-	SanJose Sharks	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	5200	5000	2000	4000	1000
Prix des billets	190	100	65	45	400
Assistance	24,135	21,636	8,403	15,239	3,439
Attendance PCT	77.36%	72.12%	70.03%	63.50%	57.32%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité de l’aréna	Popularité de l’équipe
37	12142 - 70.59%	2,323,605$	13,941,632$	17200	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
14,745,968$	116,161,788$	116,161,788$	3,000,000$0$	-3,500,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
535,308$	14,372,694$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
85,973,397$	190	549,133$	104,335,270$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
107,031,190$	119,490,002$	103,151,535$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
112,581,214$	1,918,786$	114,500,000$	27,981,214$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Cole Caufield	AGE:25	PO:1	OV:79
Steven Stamkos	AGE:36	PO:1	OV:78
Chris Kreider	AGE:35	PO:1	OV:75
Trevor Zegras	AGE:25	PO:1	OV:74
Drew O'Connor	AGE:28	PO:1	OV:72
Brandon Duhaime	AGE:29	PO:1	OV:69
Quinn Hutson	AGE:24	PO:1	OV:59
Dylan Duke	AGE:23	PO:1	OV:58
Luca Pinelli (R)	AGE:21	PO:1	OV:58
Quentin Musty	AGE:21	PO:1	OV:57
Juraj Pekarcik (R)	AGE:21	PO:1	OV:57
Viljami Marjala (R)	AGE:23	PO:1	OV:56
Roman Kantserov (R)	AGE:22	PO:1	OV:51
Kieron Walton (R)	AGE:20	PO:1	OV:51

Mark Scheifele	AGE:33	PO:1	OV:80
Steven Stamkos	AGE:36	PO:1	OV:78
Mikael Granlund	AGE:34	PO:1	OV:76
Adam Fantilli	AGE:22	PO:1	OV:75
Trevor Zegras	AGE:25	PO:1	OV:74
Phillip Danault	AGE:33	PO:1	OV:73
Matthew Wood	AGE:21	PO:1	OV:69
Tim Washe	AGE:25	PO:1	OV:62
Luca Pinelli (R)	AGE:21	PO:1	OV:58
Nikita Prishchepov	AGE:22	PO:1	OV:55
Roman Kantserov (R)	AGE:22	PO:1	OV:51
Kieron Walton (R)	AGE:20	PO:1	OV:51
Vitali Pinchuk (R)	AGE:24	PO:1	OV:51

Cole Caufield	AGE:25	PO:1	OV:79
Steven Stamkos	AGE:36	PO:1	OV:78
Mikael Granlund	AGE:34	PO:1	OV:76
Drew O'Connor	AGE:28	PO:1	OV:72
Luke Evangelista	AGE:24	PO:1	OV:72
Beckett Sennecke	AGE:20	PO:1	OV:72
Matthew Wood	AGE:21	PO:1	OV:69
Quinn Hutson	AGE:24	PO:1	OV:59
Dylan Duke	AGE:23	PO:1	OV:58
Luca Pinelli (R)	AGE:21	PO:1	OV:58
Aiden Fink (R)	AGE:21	PO:1	OV:56
Justin Carbonneau (R)	AGE:19	PO:50	OV:51

Défense #1

Défense #2

Gardien

Josh Morrissey	AGE:31	PO:1	OV:79
Mattias Ekholm	AGE:36	PO:1	OV:78
Adam Pelech	AGE:32	PO:1	OV:77
Jaccob Slavin	AGE:32	PO:1	OV:76
Dmitry Orlov	AGE:35	PO:1	OV:75
Tom Willander	AGE:21	PO:1	OV:69
Charle-Edouard D'Astous	AGE:28	PO:1	OV:67
Sam Rinzel	AGE:22	PO:1	OV:65

Ethan Del Mastro	AGE:23	PO:1	OV:64
Frederic Brunet	AGE:23	PO:1	OV:60
Tristan Luneau	AGE:22	PO:1	OV:60
Kevin Gravel	AGE:34	PO:1	OV:58
Dominik Badinka (R)	AGE:20	PO:1	OV:58
Stian Solberg	AGE:20	PO:1	OV:57
Daniel Nieminen (R)	AGE:20	PO:1	OV:52

Igor Shesterkin	AGE:30	PO:1	OV:86
Brandon Bussi	AGE:28	PO:1	OV:76
Jacob Fowler	AGE:21	PO:1	OV:69
Isak Posch (R)	AGE:24	PO:1	OV:60
Nolan Lalonde (R)	AGE:22	PO:1	OV:56

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Date de la Dernière Transaction
Alexis Cournoyer	NewYork Rangers	13	108
Alexis Mathieu	NewYork Rangers	13	148
Andreas Wingerli	NewYork Rangers	0	0
Anthony Allain-Samaké	NewYork Rangers	13	179
Arvid Henrikson	NewYork Rangers	4	170
Ben Merrill	NewYork Rangers	12	205	2025-03-26
Benjamin Kraws	NewYork Rangers	12	178
Bobby Trivigno	NewYork Rangers	0	0
Bryce Pickford	NewYork Rangers	13	71
Cameron Morrison	NewYork Rangers	0	0
Cameron Reid	NewYork Rangers	13	23
Carlos Handel	NewYork Rangers	13	184
Charlie Paquette	NewYork Rangers	2025	231
Charlie Puglisi	NewYork Rangers	14	179
Cole Fonstad	NewYork Rangers	0	0
Connor Mcclennon	NewYork Rangers	8	189
Cooper Simpson	NewYork Rangers	13	54
Daniil Karpovich	NewYork Rangers	11	154
David Bernhardt	NewYork Rangers	4	180
Dmitri Borichev	NewYork Rangers	14	64
Dmitri Kostenko	NewYork Rangers	9	96
Egor Serdyuk	NewYork Rangers	7	149
Egor Shilov	NewYork Rangers	14	41	2026-08-29
Elton Hermansson	NewYork Rangers	14	17
Emile Guite	NewYork Rangers	13	106
Eric Frossard	NewYork Rangers	14	153
Ethan Hay	NewYork Rangers	11	205
Ethan Wyttenbach	NewYork Rangers	13	181	2026-03-19
Filip Lindberg	NewYork Rangers	0	0
Filip Pyrochta	NewYork Rangers	6	162
Gabriel Daigle	NewYork Rangers	13	36
Isaiah Saville	NewYork Rangers	0	0
Jack Gorniak	NewYork Rangers	6	153
Jack Harvey	NewYork Rangers	11	199
Jacob Olofsson	NewYork Rangers	6	49
Jakov Novak	NewYork Rangers	0	0
Jakub Floris	NewYork Rangers	14	94
Jakub Vondras	NewYork Rangers	10	165
Jeremy Michel	NewYork Rangers	7	178
Joe Vrbetic	NewYork Rangers	0	0
John Mustard	NewYork Rangers	12	49
Josh Maniscalco	NewYork Rangers	0	0
Max Vilen	NewYork Rangers	0	0
Michael Hage	NewYork Rangers	12	16
Miguel Marques	NewYork Rangers	12	71	2026-06-15
Miguel Tourigny	NewYork Rangers	10	139
Mikey Berchild	NewYork Rangers	14	101
Mikhail Abramov	NewYork Rangers	0	0
Mikus Vecvanags	NewYork Rangers	12	176
Niko Huuhtanen	NewYork Rangers	0	0
Noah Kosick	NewYork Rangers	14	205
Ryan Brown	NewYork Rangers	14	152
Samuel Eriksson	NewYork Rangers	14	175
Servac Petrovsky	NewYork Rangers	10	186
Simon Knak	NewYork Rangers	9	201
Thimo Nickl	NewYork Rangers	8	119
Thomas Bleyl	NewYork Rangers	14	23
Topi Niemela	NewYork Rangers	0	0	2025-08-01
Vyacheslav Buteyets	NewYork Rangers	0	0
William Hakansson	NewYork Rangers	14	49
Xavier SImoneau	NewYork Rangers	0	0
Yegor Surin	NewYork Rangers	12	24
Zayde Wisdom	NewYork Rangers	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
15	NYR TOR			PHI NYR COL MIN	NYR	TOR	NYR	NYR
16	NYR	NYR	NYR NSH	NYR	NYR	NYR	NYR	NYR
17	NYR TOR	NYR	NYR	NYR	NYR	NYR	NYR	NYR
18	NYR	NYR	NYR	NYR	NYR	NYR	NYR	NYR
19	NYR	NYR	NYR	NYR	NYR	NYR	NYR	NYR
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

NewYork Rangers Historique de transactions

[2026-10-13 22:59:13] TRADE : From NewYork Rangers to Washington Capitals : Dyllan Gill (51), Isaac Poulter (60), Djibril Toure (57), Liam O'Brien (65), Mikael Pyyhtia (60), Connor Kurth (49).
[2026-10-11 01:13:01] Barclay Goodrow was released.
[2026-10-10 01:25:21] Vitali Pinchuk was added to NewYork Rangers.
[2026-10-10 01:23:10] Kieron Walton was added to NewYork Rangers.
[2026-10-10 01:19:43] Daniel Nieminen was added to NewYork Rangers.
[2026-10-10 01:16:26] Roman Kantserov was added to NewYork Rangers.
[2026-10-10 00:48:18] Justin Carbonneau was added to NewYork Rangers.
[2026-10-05 00:09:37] TRADE : From NewYork Rangers to Montreal Canadiens : Dylan Gambrell (57), Paul Ludwinski (50), Jaxson Stauber (64).
[2026-10-05 00:09:37] TRADE : From Montreal Canadiens to NewYork Rangers : Isaac Poulter (60), Y:15-RND:4-MIN.
[2026-10-04 00:19:08] TRADE : From NewYork Rangers to SanJose Sharks : Zemgus Girgensons (70).
[2026-10-04 00:19:08] TRADE : From SanJose Sharks to NewYork Rangers : $25,000 (Money).
[2026-10-04 00:18:46] TRADE : From NewYork Rangers to Tampa Bay Lightning : Eric Robinson (70).
[2026-10-04 00:18:46] TRADE : From Tampa Bay Lightning to NewYork Rangers : $25,000 (Money).
[2026-09-30 22:46:11] Vyacheslav Buteyets has been added to NewYork Rangers.
[2026-09-30 22:46:02] Niko Huuhtanen has been added to NewYork Rangers.
[2026-09-30 22:45:48] Vyacheslav Buteyets was released.
[2026-09-30 22:45:48] NewYork Rangers paid $0 to release Vyacheslav Buteyets.
[2026-09-30 22:45:37] Niko Huuhtanen was released.
[2026-09-30 22:45:37] NewYork Rangers paid $0 to release Niko Huuhtanen.
[2026-09-14 21:37:01] TRADE : From Toronto Maple Leafs to NewYork Rangers : Y:15-RND:6-TOR.
[2026-09-14 21:37:01] TRADE : From NewYork Rangers to Toronto Maple Leafs : Luke Tuch (54), Sean Farrell (59).
[2026-09-12 23:09:54] Blake McLaughlan has been deleted from NewYork Rangers.
[2026-09-12 23:09:49] Otto Somppi has been deleted from NewYork Rangers.
[2026-09-12 23:09:44] Matt Filipe has been deleted from NewYork Rangers.
[2026-09-12 23:09:39] Chad Krys has been deleted from NewYork Rangers.
[2026-09-12 23:09:32] Luca Pinelli was added to NewYork Rangers.
[2026-09-12 23:09:26] Juraj Pekarcik was added to NewYork Rangers.
[2026-09-12 23:09:18] Dominik Badinka was added to NewYork Rangers.
[2026-09-12 23:09:11] Connor Kurth was added to NewYork Rangers.
[2026-09-12 23:09:04] Isak Posch was added to NewYork Rangers.
[2026-09-12 23:08:55] Aiden Fink was added to NewYork Rangers.
[2026-09-03 00:17:46] TRADE : From NewYork Rangers to Toronto Maple Leafs : Kent Johnson (71), Jiri Kulich (65).
[2026-09-03 00:17:46] TRADE : From Toronto Maple Leafs to NewYork Rangers : Luke Evangelista (72), Y:17-RND:1-TOR.
[2026-08-31 22:25:33] TRADE : From NewYork Rangers to Boston Bruins : Scott Morrow (63).
[2026-08-31 22:25:33] TRADE : From Boston Bruins to NewYork Rangers : Y:15-RND:4-PHI.
[2026-08-29 00:57:46] TRADE : From NewYork Rangers to Colorado Avalanche : Travis Sanheim (80), Y:15-RND:2-NYR.
[2026-08-29 00:57:46] TRADE : From Colorado Avalanche to NewYork Rangers : Jaccob Slavin (76), Egor Shilov (P), Y:15-RND:4-COL.
[2026-08-22 00:13:23] Vitali Pinchuk has been added to NewYork Rangers.
[2026-08-05 22:29:54] TRADE : From Seattle Kraken to NewYork Rangers : Zemgus Girgensons (71).
[2026-08-05 22:29:54] TRADE : From NewYork Rangers to Seattle Kraken : Joel Hanley (71).
[2026-08-05 22:26:31] TRADE : From Montreal Canadiens to NewYork Rangers : Jaxson Stauber (64).
[2026-07-29 00:04:10] Nolan Lalonde was added to NewYork Rangers.
[2026-07-28 09:10:25] TRADE : From NewYork Rangers to Colorado Avalanche : David Rittich (81).
[2026-07-28 09:06:52] TRADE : From Buffalo Sabres to NewYork Rangers : Eric Robinson (71).
[2026-07-28 09:06:08] Dylan Gambrell signed with NewYork Rangers for $850,000 for 3 year(s).
[2026-07-28 09:06:08] Dylan Gambrell was added to NewYork Rangers.
[2026-07-27 23:13:46] David Rittich signed with NewYork Rangers for $1,000,000 for 3 year(s).
[2026-07-27 23:13:46] David Rittich was added to NewYork Rangers.
[2026-07-26 23:06:33] Viljami Marjala was added to NewYork Rangers.
[2026-07-22 22:15:17] Hartford Wolf Pack hired Brad Larsen for $1,000,000 for 3 year(s).
[2026-07-14 23:00:24] Max Vilen has been added to NewYork Rangers.
[2026-07-12 22:19:32] TRADE : From NewYork Rangers to Carolina Hurricanes : Derek Forbort (69), Y:15-RND:3-NYR.
[2026-07-12 22:19:32] TRADE : From Carolina Hurricanes to NewYork Rangers : Charle-Edouard D'Astous (66).
[2026-07-12 22:17:11] NewYork Rangers drafts Noah Kosick as the #205 overall pick in the Entry Draft of year 14.
[2026-07-11 22:24:18] NewYork Rangers drafts Charlie Puglisi as the #179 overall pick in the Entry Draft of year 14.
[2026-07-11 22:22:48] NewYork Rangers drafts Samuel Eriksson as the #175 overall pick in the Entry Draft of year 14.
[2026-07-10 23:52:53] NewYork Rangers drafts Eric Frossard as the #153 overall pick in the Entry Draft of year 14.
[2026-07-10 23:52:38] NewYork Rangers drafts Ryan Brown as the #152 overall pick in the Entry Draft of year 14.
[2026-07-10 23:51:36] TRADE : From NewYork Rangers to Anaheim Ducks : Y:15-RND:6-NYR.
[2026-07-10 23:51:36] TRADE : From Anaheim Ducks to NewYork Rangers : Y:14-RND:6-NSH.
[2026-07-08 23:20:24] NewYork Rangers drafts Mikey Berchild as the #101 overall pick in the Entry Draft of year 14.
[2026-07-06 20:28:06] NewYork Rangers drafts Jakub Floris as the #94 overall pick in the Entry Draft of year 14.
[2026-07-05 20:30:18] NewYork Rangers drafts Dmitri Borichev as the #64 overall pick in the Entry Draft of year 14.
[2026-07-05 20:12:32] NewYork Rangers drafts William Hakansson as the #49 overall pick in the Entry Draft of year 14.
[2026-07-05 19:52:03] NewYork Rangers drafts Thomas Bleyl as the #23 overall pick in the Entry Draft of year 14.
[2026-07-05 19:45:08] NewYork Rangers drafts Elton Hermansson as the #17 overall pick in the Entry Draft of year 14.
[2026-06-26 23:59:17] TRADE : From NewYork Rangers to NewYork Islanders : Alex Nedeljkovic (82).
[2026-06-26 23:59:17] TRADE : From NewYork Islanders to NewYork Rangers : Y:14-RND:3-WSH.
[2026-06-15 20:39:54] TRADE : From NewYork Rangers to Carolina Hurricanes : Tommy Novak (70), Seamus Casey (56), Linus Karlsson (67).
[2026-06-15 20:39:54] TRADE : From Carolina Hurricanes to NewYork Rangers : Mikael Granlund (76), Miguel Marques (P).
[2026-06-07 22:50:11] Djibril Toure signed with NewYork Rangers for $805,000 for 2 year(s).
[2026-06-07 22:50:11] Djibril Toure was added to NewYork Rangers.
[2026-06-07 22:49:39] Djibril Touré was released by NewYork Rangers
[2026-06-07 21:02:39] Brad Larsen contract with Hartford Wolf Pack has ended.

Quentin Musty est dehors pour 1 jours à cause de Torn Left Knee Ligaments Injury.
Sam Rinzel est dehors pour 1 semaine à cause de Bruised Left Shoulder Injury.

NewYork Rangers Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

NewYork Rangers Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

NewYork Rangers Statistiques de l'Équipe de Carrière

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	Total											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

NewYork Rangers Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

NewYork Rangers Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	NewYork Rangers
	GP: 11 \| W: 8 \| L: 2 \| OTL: 1 \| P: 17 GF: 41 \| GA: 33 \| PP%: 16.67% \| PK%: 88.89% DG: Charles Verville \| Morale : 40 \| Moyenne d’équipe : 75 Prochains matchs #149 vs Washington Capitals