Hartford Wolf Pack
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Washington Capitals 1-1-0, 2pts	1	FINAL	6	New York Rangers 1-1-0, 2pts

Team Stats
W1	Séquence	OTL1
0-0-0	Fiche domicile	1-1-0
1-1-0	Fiche visiteur	0-0-0
1-1-0	Derniers 10 matchs	1-0-1
1.50	Buts par match	3.50
3.50	Buts contre par match	1.50
0.00%	Pourcentage en avantage numérique	22.22%
77.78%	Pourcentage en désavantage numérique	100.00%

Washington Capitals
1-1-0, 2pts

FINAL

New York Rangers
1-1-0, 2pts

Team Stats
W1	Séquence	OTL1
0-0-0	Fiche domicile	1-1-0
1-1-0	Fiche visiteur	0-0-0
1-1-0	Derniers 10 matchs	1-0-1
1.50	Buts par match	3.50
3.50	Buts contre par match	1.50
0.00%	Pourcentage en avantage numérique	22.22%
77.78%	Pourcentage en désavantage numérique	100.00%

New York Rangers
1-1-0, 2pts

Jour 5

Washington Capitals
1-1-0, 2pts

Statistiques d’équipe
OTL1	Séquence	W1
1-1-0	Fiche domicile	0-0-0
0-0-0	Fiche visiteur	1-1-0
1-0-1	10 derniers matchs	1-1-0
3.50	Buts par match	1.50
1.50	Buts contre par match	1.50
22.22%	Pourcentage en avantage numérique	0.00%
100.00%	Pourcentage en désavantage numérique	77.78%

New York Rangers
1-1-0, 2pts

Jour 7

Washington Capitals
1-1-0, 2pts

Statistiques d’équipe
OTL1	Séquence	W1
1-1-0	Fiche domicile	0-0-0
0-0-0	Fiche visiteur	1-1-0
1-0-1	10 derniers matchs	1-1-0
3.50	Buts par match	1.50
1.50	Buts contre par match	1.50
22.22%	Pourcentage en avantage numérique	0.00%
100.00%	Pourcentage en désavantage numérique	77.78%

Washington Capitals
1-1-0, 2pts

Jour 9

New York Rangers
1-1-0, 2pts

Statistiques d’équipe
W1	Séquence	OTL1
0-0-0	Fiche domicile	1-1-0
1-1-0	Fiche visiteur	0-0-0
1-1-0	10 derniers matchs	1-0-1
1.50	Buts par match	3.50
3.50	Buts contre par match	3.50
0.00%	Pourcentage en avantage numérique	22.22%
77.78%	Pourcentage en désavantage numérique	100.00%

Meneurs d'équipe
	Buts Kyle Connor 3	Passes Nico Hischier 4

	Points Kyle Connor 4	Plus/Moins Nico Hischier 3

	Victoires Jake Oettinger 1	Pourcentage d’arrêts Jake Oettinger 0.952

Statistiques d’équipe
Buts pour 7 3.50 GFG	Tirs pour 72 36.00 Avg	Pourcentage en avantage numérique 22.2% 2 GF	Début de zone offensive 40.5%
Buts contre 3 1.50 GAA	Tirs contre 62 31.00 Avg	Pourcentage en désavantage numérique 100.0%% 0 GA	Début de la zone défensive 38.0%

Informations de l'équipe
	Directeur général	Alain Desnoyer
	Entraîneur	Andre Tourigny
	Division	METROPOLITAINE
	Conférence	EASTERN CONFERENCE
	Capitaine
	Assistant #1	Adam Fox
	Assistant #2	Casey Cizikas
Informations de l’aréna
	Nom	Madison Square Garden
	Capacité	18,000
	Assistance	18,000
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	29
	Limite contact	50 / 100
	Espoirs	34
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	83,500,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	3,784,600$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	112,342,882$
	Compte bancaire projeté	112,342,882$

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	Âge	Contrat	Salaire moyen
1	Robert Thomas	0	X		X		100.00	58	45	79	84	81	90	87	81	81	89	73	77	80	72	73	77	82	75	2	24	3	8,000,000$
2	Kyle Connor	0		X	X		100.00	54	45	97	85	76	91	90	84	58	82	84	69	85	66	64	68	84	74	2	27	4	7,000,000$
3	Blake Wheeler	0	X	X	X		100.00	62	47	79	73	90	89	86	78	65	83	72	69	74	93	99	37	85	73	2	37	2	1,200,000$
4	Jared McCann	0	X	X			100.00	62	43	91	82	76	87	89	79	73	70	80	67	80	76	76	70	82	72	0	27	3	4,800,000$
5	Troy Terry	0		X	X		100.00	67	45	83	82	71	89	87	80	57	78	81	62	64	57	56	54	88	71	0	26	4	5,500,000$
6	J.T. Compher	0	X	X	X		100.00	55	39	91	74	73	91	89	72	81	73	72	85	67	77	75	65	85	71	0	29	3	3,200,000$
7	Alex Iafallo	0	X		X		100.00	56	40	97	74	76	88	86	70	60	71	68	84	70	79	81	71	81	70	0	29	1	2,750,000$
8	Adam Lowry	0	X	X	X		100.00	87	78	80	68	94	86	90	63	82	60	61	89	63	77	76	47	84	69	1	31	3	2,900,000$
9	Michael Bunting	0		X	X		100.00	66	52	87	76	73	86	90	72	58	73	73	60	74	77	72	49	82	68	1	28	1	925,000$
10	Casey Cizikas (A)	0	X	X	X		100.00	82	48	80	64	70	85	89	62	87	59	59	83	65	86	79	44	82	66	1	33	3	3,000,000$
11	Tyler Pitlick	0	X	X	X		100.00	76	41	91	60	80	78	76	62	66	61	58	84	60	76	75	54	68	65	0	32	2	1,500,000$
12	Adam Larsson	0				X	100.00	88	43	81	70	85	93	90	69	30	71	64	92	53	82	76	51	83	76	2	31	2	6,950,000$
13	Adam Fox (A)	0				X	100.00	59	34	91	81	70	95	90	82	30	89	69	93	59	69	75	78	85	76	2	26	1	9,000,000$
14	Cam Fowler	0				X	100.00	52	41	87	73	83	95	90	73	30	79	68	82	57	86	79	60	86	73	2	32	2	6,500,000$
15	Luke Schenn	0				X	100.00	90	80	70	72	86	87	86	70	30	73	66	78	48	86	78	61	81	73	2	34	2	1,800,000$
16	Ryan Lindgren	0				X	100.00	78	39	82	66	79	90	87	63	30	72	59	90	60	72	73	64	67	72	2	26	1	3,000,000$
17	Luke Hughes (R)	0				X	100.00	77	55	66	78	77	85	80	76	30	80	72	80	60	57	57	97	72	71	2	20	2	0$
Rayé
1	Nico Hischier	0	X		X		96.64	58	39	93	84	73	90	89	83	83	87	76	87	78	70	77	83	57	76	2	25	4	7,000,000$
2	Simon Benoit	0				X	100.00	90	51	86	63	85	86	85	63	30	64	56	79	48	69	68	47	81	70	0	25	2	750,000$
Équipe Mineure
1	Jansen Harkins	0	X				99.00	68	45	90	67	80	85	87	68	73	66	70	66	63	71	68	66	82	67	0	26	3	850,000$
2	Riley Tufte	0		X			100.00	79	55	88	70	99	85	87	65	52	64	64	60	60	69	68	75	88	67	2	26	1	925,000$
3	Sam Steel	0	X	X			100.00	58	45	93	71	69	82	85	76	79	72	64	63	62	55	54	78	87	66	2	26	1	850,000$
4	Josh Dunne	0	X		X		100.00	81	67	78	69	84	88	81	65	72	59	62	63	62	59	59	66	83	65	0	25	1	985,000$
5	Tim Gettinger	58		X			100.00	86	4	77	60	99	83	77	63	66	62	59	66	59	70	69	49	85	65	0	26	1	800,000$
6	Mathieu Olivier	0			X		100.00	65	53	77	66	84	78	80	66	52	63	64	63	56	70	68	47	86	64	0	27	1	985,000$
7	Curtis Douglas (R)	0	X	X			100.00	90	83	79	63	99	75	84	61	65	58	61	61	60	65	65	83	84	64	0	24	1	750,000$
8	Brendan Lemieux	0		X	X		100.00	89	56	68	66	81	76	78	63	59	62	61	56	62	74	70	68	79	63	2	28	3	1,500,000$
9	Justin Sourdif (R)	0	X		X		100.00	65	40	71	69	73	72	74	59	62	60	60	59	40	48	58	74	72	60	2	22	2	847,500$
10	Mitchell Stephens	0	X				100.00	63	39	90	58	75	75	74	54	77	55	57	59	64	71	69	71	83	59	2	27	3	750,000$
11	Josh Doan (R)	0			X		100.00	54	45	78	66	77	72	75	64	50	54	54	54	65	47	57	75	81	58	2	25	1	775,000$
12	Philippe Daoust (R)	0		X			100.00	65	30	62	63	70	77	78	57	50	58	58	58	60	63	43	74	59	58	0	22	2	821,667$
13	Daniil Miromanov (R)	0				X	99.00	78	55	64	73	66	80	88	71	30	69	63	76	55	49	60	73	87	69	0	26	3	1,500,000$
14	Nick Cicek (R)	0				X	99.00	87	65	69	72	79	78	80	67	30	67	61	75	60	57	46	68	81	68	0	23	4	1,499,000$
15	Urho Vaakanainen	0				X	100.00	73	42	88	66	81	86	74	65	30	65	60	66	49	70	71	75	80	67	2	25	2	850,000$
16	Maxime Lajoie	0				X	100.00	64	43	93	63	80	81	80	62	30	62	59	66	52	72	69	51	77	65	0	26	1	800,000$
17	Jonathan Aspirot	0				X	100.00	60	48	85	63	78	80	79	59	30	59	60	66	45	71	68	57	57	64	0	24	2	850,000$
18	Tory Dello	0				X	100.00	75	40	82	61	73	74	84	55	30	57	57	68	56	48	48	72	77	62	0	27	1	975,000$
19	Adam Edgstrom (R)	0	X	X	X		100.00	94	77	65	66	90	77	75	60	30	60	66	67	62	50	50	70	55	63	0	23	3	833,000$
20	Tuuka Tieksola (R)	0			X		100.00	59	60	61	61	61	60	60	59	60	59	59	59	60	61	61	1	35	57	0	22	2	823,333$
21	Dillon Hamaliuk	0		X			100.00	65	55	73	61	68	78	75	54	50	55	54	56	60	61	41	76	22	56	2	23	1	789,167$
22	Ethan Keppen (R)	0	X	X	X		100.00	66	60	60	56	61	75	74	54	49	54	55	59	55	61	61	65	35	56	0	23	1	750,000$
23	Bennett MacArthur (R)	0		X			100.00	60	40	60	55	67	72	70	55	50	51	52	60	60	55	50	60	23	55	0	23	2	859,167$
24	Maxim Cajkovic (R)	0		X	X		100.00	55	50	60	52	67	75	72	55	50	58	54	58	53	60	40	77	23	55	0	23	1	850,833$
25	Dan Renouf	9				X	100.00	76	43	73	66	83	75	74	61	30	60	60	66	45	74	70	55	23	65	0	29	1	750,000$
26	Billy Sweezey	0				X	100.00	87	65	79	61	67	77	85	60	30	59	57	64	55	47	67	53	46	63	0	28	1	975,000$

	MOYENNE D’ÉQUIPE						99.79	69	48	85	74	79	88	87	73	56	74	69	79	66	75	74	62	80	72

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	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Jake Oettinger	0	99.00	97	95	92	94	96	96	98	97	96	96	95	67	74	76	93	90	2	25	1	3,500,000$
2	Charlie Lindgren	0	100.00	81	72	70	76	80	78	81	80	78	81	80	71	84	54	87	76	0	30	4	1,925,000$
Rayé
Équipe Mineure
1	Joe Vrbetic (R)	0	100.00	72	72	75	88	72	75	74	72	75	70	72	68	68	74	86	73	0	21	1	775,000$
2	Zachary Sawchenko	0	100.00	72	75	75	74	71	71	73	72	71	72	71	66	70	61	81	70	0	26	2	975,000$
3	Arvid Soderblom (R)	0	100.00	70	74	74	84	66	73	74	76	74	70	65	65	55	66	36	70	0	24	4	1,499,000$

	MOYENNE D’ÉQUIPE		99.50	89	84	81	85	88	87	90	89	87	89	88	69	79	65	90	83

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Andre Tourigny	83	76	79	77	73	68	77	CAN	49	3	1,500,000$

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	PKS	PKM	GW	FO%	FOT	GA	TA	HT	P/20	S1	S2	S3
1	Kyle Connor	New York Rangers	LW/RW	2	3	1	4	2	0	1	2	10	5	5	30.00%	2	42	21.25	0	1	1	2	6	0	0	1	66.67%	3	9	1	1	1.88	1	0	0
2	Nico Hischier	New York Rangers	C/RW	2	0	4	4	3	0	1	3	8	0	3	0%	0	42	21.48	0	1	1	2	6	0	0	0	78.13%	32	4	2	0	1.86	0	1	0
3	Jared McCann	New York Rangers	C/LW	2	2	0	2	0	0	3	1	6	4	3	33.33%	0	37	18.70	1	0	1	1	5	0	0	0	100.00%	1	8	0	0	1.07	0	0	1
4	Robert Thomas	New York Rangers	C/RW	2	0	2	2	-1	0	1	1	7	4	5	0%	1	38	19.25	0	1	1	0	5	0	0	0	58.82%	34	4	0	0	1.04	0	0	0
5	Adam Larsson	New York Rangers	D	2	0	1	1	1	2	8	2	4	2	3	0%	4	50	25.05	0	1	1	0	5	0	7	0	0%	0	0	4	0	0.40	0	0	0
6	Blake Wheeler	New York Rangers	C/LW/RW	2	0	1	1	2	0	3	1	3	0	3	0%	0	42	21.21	0	0	0	0	6	0	0	0	100.00%	1	0	0	0	0.47	0	0	0
7	Cam Fowler	New York Rangers	D	2	0	1	1	1	0	1	6	1	1	3	0%	1	51	25.78	0	0	0	0	7	0	4	0	0%	0	1	0	0	0.39	0	0	0
8	Troy Terry	New York Rangers	LW/RW	2	1	0	1	0	2	2	0	7	2	5	14.29%	0	30	15.08	0	0	0	3	5	0	0	0	0%	2	3	1	0	0.66	0	0	0
9	Michael Bunting	New York Rangers	LW/RW	2	0	1	1	0	0	7	0	1	3	1	0%	0	23	11.93	0	0	0	0	0	0	0	0	0%	0	1	0	0	0.84	0	0	0
10	Adam Fox	New York Rangers	D	2	1	0	1	1	0	0	7	2	2	2	50.00%	4	52	26.38	1	0	1	1	7	0	4	0	0%	0	1	4	0	0.38	0	0	0
11	Adam Lowry	New York Rangers	C/LW/RW	2	0	0	0	0	0	5	5	2	1	4	0%	0	26	13.24	0	0	0	0	0	0	3	0	72.73%	11	0	0	0	0	0	0	0
12	Casey Cizikas	New York Rangers	C/LW/RW	2	0	0	0	0	2	1	1	1	1	4	0%	2	25	12.91	0	0	0	0	0	0	2	0	100.00%	1	0	0	0	0	0	0	0
13	Luke Schenn	New York Rangers	D	2	0	0	0	0	4	9	6	2	4	0	0%	3	39	19.89	0	0	0	0	0	0	2	0	0%	0	0	0	0	0	0	0	0
14	Luke Hughes	New York Rangers	D	2	0	0	0	0	4	4	1	4	1	4	0%	0	35	17.82	0	0	0	0	0	0	0	0	0%	0	1	4	0	0	0	0	0
15	Ryan Lindgren	New York Rangers	D	2	0	0	0	1	2	7	3	4	0	2	0%	2	52	26.12	0	0	0	0	5	0	6	0	0%	0	0	0	0	0	0	0	0
16	Tyler Pitlick	New York Rangers	C/LW/RW	2	0	0	0	0	0	3	3	1	0	1	0%	0	21	10.55	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0
17	Alex Iafallo	New York Rangers	C/RW	2	0	0	0	0	0	3	2	3	1	2	0%	1	40	20.33	0	0	0	0	0	0	9	0	66.67%	3	0	1	0	0	0	0	0
18	J.T. Compher	New York Rangers	C/LW/RW	2	0	0	0	0	0	0	7	6	0	3	0%	0	34	17.16	0	0	0	0	0	2	9	0	48.48%	33	1	1	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				36	7	11	18	10	16	59	51	72	31	53	9.72%	20	688	19.12	2	4	6	9	63	2	52	1	62.81%	121	33	18	1	0.52	1	1	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 gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jake Oettinger	New York Rangers	2	1	0	1	0.952	1.29	140	0	0	3	62	30	0	0	0	0	2	0	0	0	0
Statistiques d’équipe totales ou en moyenne			2	1	0	1	0.952	1.29	140	0	0	3	62	30	0	0		0	2	0	0	0	0

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	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 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	Lien
Adam Fox	New York Rangers	D	26	1998-02-17 04:02:23	No	181 Lbs	5 ft11	No	No	N/A		No	No	1	Pro Only	9,000,000$	7,071,429$	9,000,000$	7,071,429$	9,000,000$	7,071,429$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Adam Larsson	New York Rangers	D	31	1992-11-12	No	209 Lbs	6 ft3	No	No	N/A		No	No	2	Pro Only	6,950,000$	5,460,714$	6,950,000$	5,460,714$	6,950,000$	5,460,714$	No	6,950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Adam Lowry	New York Rangers	C/LW/RW	31	1993-03-29	No	210 Lbs	6 ft5	No	No	N/A		No	No	3	Pro Only	2,900,000$	2,278,571$	2,900,000$	2,278,571$	2,900,000$	2,278,571$	No	2,900,000$	2,900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Alex Iafallo	New York Rangers	C/RW	29	1994-12-21 01:05:53	No	185 Lbs	6 ft0	No	No	Trade	2024-02-29	No	No	1	Pro Only	2,250,000$	1,767,857$	2,750,000$	2,160,714$	2,750,000$	2,160,714$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Blake Wheeler	New York Rangers	C/LW/RW	37	1986-08-31	No	220 Lbs	6 ft5	No	No	N/A		No	No	2	Pro Only	1,200,000$	942,857$	1,200,000$	942,857$	1,200,000$	942,857$	No	1,200,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Cam Fowler	New York Rangers	D	32	1991-12-05	No	207 Lbs	6 ft1	No	No	N/A		No	No	2	Pro Only	6,500,000$	5,107,143$	6,500,000$	5,107,143$	6,500,000$	5,107,143$	No	6,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Casey Cizikas	New York Rangers	C/LW/RW	33	1991-02-27	No	195 Lbs	5 ft11	No	No	N/A		No	No	3	Pro Only	3,000,000$	2,357,143$	3,000,000$	2,357,143$	3,000,000$	2,357,143$	No	3,000,000$	3,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Charlie Lindgren	New York Rangers	G	30	1993-12-18	No	180 Lbs	6 ft1	No	No	N/A		No	No	4	Pro Only	1,925,000$	1,512,500$	1,925,000$	1,512,500$	1,925,000$	1,512,500$	No	1,925,000$	1,925,000$	1,925,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
J.T. Compher	New York Rangers	C/LW/RW	29	1995-04-08	No	190 Lbs	6 ft0	No	No	N/A		No	No	3	Pro Only	3,200,000$	2,514,286$	3,200,000$	2,514,286$	3,200,000$	2,514,286$	No	3,200,000$	3,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Jake Oettinger	New York Rangers	G	25	1998-12-18	No	220 Lbs	6 ft5	No	No	N/A		No	No	1	Pro Only	3,500,000$	2,750,000$	3,500,000$	2,750,000$	3,500,000$	2,750,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Jared McCann	New York Rangers	C/LW	27	1996-05-31	No	191 Lbs	6 ft1	No	No	Trade	2024-03-05	No	No	3	Pro Only	4,800,000$	3,771,429$	4,800,000$	3,771,429$	4,800,000$	3,771,429$	No	4,800,000$	4,800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Kyle Connor	New York Rangers	LW/RW	27	1996-12-09 06:30:34	No	179 Lbs	6 ft1	No	No	Trade	2024-03-08	No	No	4	Pro Only	7,000,000$	5,500,000$	7,000,000$	5,500,000$	7,000,000$	5,500,000$	No	7,000,000$	7,000,000$	7,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Luke Hughes	New York Rangers	D	20	2003-09-09 10:38:59	Yes	184 Lbs	6 ft2	No	No	N/A		No	No	2	Pro & Farm	925,000$	726,786$			0$	0$	No	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Luke Schenn	New York Rangers	D	34	1989-11-02	No	227 Lbs	6 ft2	No	No	N/A		No	No	2	Pro Only	1,800,000$	1,414,286$	1,800,000$	1,414,286$	1,800,000$	1,414,286$	No	1,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Michael Bunting	New York Rangers	LW/RW	28	1995-09-17	No	192 Lbs	6 ft0	No	No	Trade	2024-03-12	No	No	1	Pro & Farm	925,000$	726,786$	925,000$	726,786$	925,000$	726,786$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Nico Hischier	New York Rangers	C/RW	25	1999-01-04	No	175 Lbs	6 ft1	No	No	Trade	2024-02-29	No	No	4	Pro Only	7,000,000$	5,500,000$	7,000,000$	5,500,000$	7,000,000$	5,500,000$	No	7,000,000$	7,000,000$	7,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Robert Thomas	New York Rangers	C/RW	24	1999-07-02 03:44:17	No	218 Lbs	6 ft0	No	No	N/A		No	No	3	Pro Only	8,000,000$	6,285,714$	8,000,000$	6,285,714$	8,000,000$	6,285,714$	No	8,000,000$	8,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Ryan Lindgren	New York Rangers	D	26	1998-02-11	No	191 Lbs	6 ft0	No	No	N/A		No	No	1	Pro Only	3,000,000$	2,357,143$	3,000,000$	2,357,143$	3,000,000$	2,357,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Simon Benoit	New York Rangers	D	25	1998-09-19	No	203 Lbs	6 ft3	No	No	N/A		No	No	2	Pro & Farm	750,000$	589,286$	750,000$	589,286$	750,000$	589,286$	No	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Troy Terry	New York Rangers	LW/RW	26	1997-09-10 01:19:38	No	185 Lbs	6 ft0	No	No	N/A		No	No	4	Pro Only	5,500,000$	4,321,429$	5,500,000$	4,321,429$	5,500,000$	4,321,429$	No	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Tyler Pitlick	New York Rangers	C/LW/RW	32	1991-11-01	No	200 Lbs	6 ft2	No	No	Trade	2024-03-03	No	No	2	Pro & Farm	1,500,000$	1,178,571$	1,500,000$	1,178,571$	1,500,000$	1,178,571$	No	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.43	197 Lbs	6 ft1	2.38	3,886,905$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
81,625,000$	62,950,000$	43,325,000$	21,425,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kyle Connor		Blake Wheeler	35	0	1	4
2	Jared McCann	Robert Thomas	Alex Iafallo	32	0	2	3
3	Michael Bunting	J.T. Compher	Troy Terry	23	0	2	3
4	Casey Cizikas	Adam Lowry	Tyler Pitlick	10	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Lindgren	Adam Fox	35	0	2	3
2	Cam Fowler	Adam Larsson	35	0	2	3
3	Luke Hughes	Luke Schenn	30	0	3	2
4	Adam Larsson	Adam Fox	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Kyle Connor		Blake Wheeler	60	0	0	5
2	Jared McCann	Robert Thomas	Troy Terry	40	0	1	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cam Fowler	Adam Fox	60	0	0	5
2	Ryan Lindgren	Adam Larsson	40	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	J.T. Compher	Alex Iafallo	60	0	5	0
2	Adam Lowry	Casey Cizikas	40	0	5	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Lindgren	Adam Larsson	60	0	5	0
2	Cam Fowler	Adam Fox	40	0	5	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	J.T. Compher	60	0	5	0	Ryan Lindgren	Adam Larsson	60	0	5	0
2	Adam Lowry	40	0	5	0	Cam Fowler	Adam Fox	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Kyle Connor	50	0	2	3
2	Robert Thomas	Jared McCann	50	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Lindgren	Adam Fox	50	0	2	3
2	Cam Fowler	Adam Larsson	50	0	2	3

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Kyle Connor		Blake Wheeler	Cam Fowler	Adam Fox

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Adam Lowry	J.T. Compher	Alex Iafallo	Ryan Lindgren	Adam Larsson

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, Robert Thomas , J.T. Compher	Michael Bunting, J.T. Compher

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Adam Fox , Adam Larsson, Luke Schenn	Luke Hughes	Luke Schenn, Luke Hughes

Tirs de pénalité
Kyle Connor , Jared McCann, , Robert Thomas , Troy Terry

Gardien
#1 : Jake Oettinger, #2 : Charlie Lindgren

Lignes d’attaque personnalisées en prolongation
, Kyle Connor , Robert Thomas , Jared McCann, Troy Terry , Blake Wheeler, Blake Wheeler, J.T. Compher, Michael Bunting, Adam Lowry, Alex Iafallo

Lignes de défense personnalisées en prolongation
Adam Fox , Cam Fowler, Adam Larsson, Ryan Lindgren, Luke Schenn

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
1	Washington Capitals	2	1	1	0	0	0	0	0	7	3	4	2	1	1	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	11	18	0	0	2	3	2	0	72	24	20	20	8	62	20	16	59	9	2	22.22%	8	0	100.00%	0	25	49	51.02%	31	46	67.39%	20	26	76.92%	60	40	44	17	35	17
	Total	2	1	1	0	0	0	0	0	7	3	4	2	1	1	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	11	18	0	0	2	3	2	0	72	24	20	20	8	62	20	16	59	9	2	22.22%	8	0	100.00%	0	25	49	51.02%	31	46	67.39%	20	26	76.92%	60	40	44	17	35	17
	_Since Last GM Reset	2	1	1	0	0	0	0	0	7	3	4	2	1	1	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	11	18	0	0	2	3	2	0	72	24	20	20	8	62	20	16	59	9	2	22.22%	8	0	100.00%	0	25	49	51.02%	31	46	67.39%	20	26	76.92%	60	40	44	17	35	17
	_Vs Conference	2	1	1	0	0	0	0	0	7	3	4	2	1	1	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	11	18	0	0	2	3	2	0	72	24	20	20	8	62	20	16	59	9	2	22.22%	8	0	100.00%	0	25	49	51.02%	31	46	67.39%	20	26	76.92%	60	40	44	17	35	17
	_Vs Division	2	1	1	0	0	0	0	0	7	3	4	2	1	1	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	11	18	0	0	2	3	2	0	72	24	20	20	8	62	20	16	59	9	2	22.22%	8	0	100.00%	0	25	49	51.02%	31	46	67.39%	20	26	76.92%	60	40	44	17	35	17

			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
2	2	OTL1	7	11	18	72	62	20	16	59	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	7	3

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	7	3

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

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	0	0	1	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
9	2	22.22%	8	0	100.00%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
24	20	20	8	2	3	2	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
25	49	51.02%	31	46	67.39%	20	26	76.92%

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
60	40	44	17	35	17

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	Lien
1	4	Washington Capitals	1	New York Rangers	6	BW		Sommaire du match
3	12	Washington Capitals	2	New York Rangers	1	BL	X	Sommaire du match
5	20	New York Rangers	-	Washington Capitals	-
7	28	New York Rangers	-	Washington Capitals	-
9	36	Washington Capitals	-	New York Rangers	-
11	44	New York Rangers	-	Washington Capitals	-
13	52	Washington Capitals	-	New York Rangers	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	12,000	10,000	4,000	8,000	2,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
39	18000 - 100.00%	1,892,300$	3,784,600$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	81,625,000$	81,200,000$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	20,773,060$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	11	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	112,342,882$	112,342,882$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	83,500,000$	83,500,000$	-61,700,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Kyle Connor	AGE:27	PO:68	OV:74
Blake Wheeler	AGE:37	PO:37	OV:73
Jared McCann	AGE:27	PO:70	OV:72
J.T. Compher	AGE:29	PO:65	OV:71
Troy Terry	AGE:26	PO:54	OV:71
Adam Lowry	AGE:31	PO:47	OV:69
Michael Bunting	AGE:28	PO:49	OV:68
Riley Tufte	AGE:26	PO:75	OV:67
Sam Steel	AGE:26	PO:78	OV:66
Casey Cizikas	AGE:33	PO:44	OV:66
Tyler Pitlick	AGE:32	PO:54	OV:65
Tim Gettinger	AGE:26	PO:49	OV:65
Curtis Douglas (R)	AGE:24	PO:83	OV:64
Adam Edgstrom (R)	AGE:23	PO:70	OV:63
Brendan Lemieux	AGE:28	PO:68	OV:63
Philippe Daoust (R)	AGE:22	PO:74	OV:58
Dillon Hamaliuk	AGE:23	PO:76	OV:56
Ethan Keppen (R)	AGE:23	PO:65	OV:56
Maxim Cajkovic (R)	AGE:23	PO:77	OV:55
Bennett MacArthur (R)	AGE:23	PO:60	OV:55

Nico Hischier	AGE:25	PO:83	OV:76
Robert Thomas	AGE:24	PO:77	OV:75
Blake Wheeler	AGE:37	PO:37	OV:73
Jared McCann	AGE:27	PO:70	OV:72
J.T. Compher	AGE:29	PO:65	OV:71
Alex Iafallo	AGE:29	PO:71	OV:70
Adam Lowry	AGE:31	PO:47	OV:69
Jansen Harkins	AGE:26	PO:66	OV:67
Sam Steel	AGE:26	PO:78	OV:66
Casey Cizikas	AGE:33	PO:44	OV:66
Josh Dunne	AGE:25	PO:66	OV:65
Tyler Pitlick	AGE:32	PO:54	OV:65
Curtis Douglas (R)	AGE:24	PO:83	OV:64
Adam Edgstrom (R)	AGE:23	PO:70	OV:63
Justin Sourdif (R)	AGE:22	PO:74	OV:60
Mitchell Stephens	AGE:27	PO:71	OV:59
Ethan Keppen (R)	AGE:23	PO:65	OV:56

Nico Hischier	AGE:25	PO:83	OV:76
Robert Thomas	AGE:24	PO:77	OV:75
Kyle Connor	AGE:27	PO:68	OV:74
Blake Wheeler	AGE:37	PO:37	OV:73
J.T. Compher	AGE:29	PO:65	OV:71
Troy Terry	AGE:26	PO:54	OV:71
Alex Iafallo	AGE:29	PO:71	OV:70
Adam Lowry	AGE:31	PO:47	OV:69
Michael Bunting	AGE:28	PO:49	OV:68
Casey Cizikas	AGE:33	PO:44	OV:66
Josh Dunne	AGE:25	PO:66	OV:65
Tyler Pitlick	AGE:32	PO:54	OV:65
Mathieu Olivier	AGE:27	PO:47	OV:64
Adam Edgstrom (R)	AGE:23	PO:70	OV:63
Brendan Lemieux	AGE:28	PO:68	OV:63
Justin Sourdif (R)	AGE:22	PO:74	OV:60
Josh Doan (R)	AGE:25	PO:75	OV:58
Tuuka Tieksola (R)	AGE:22	PO:1	OV:57
Ethan Keppen (R)	AGE:23	PO:65	OV:56
Maxim Cajkovic (R)	AGE:23	PO:77	OV:55

Défense #1

Défense #2

Gardien

Adam Fox	AGE:26	PO:78	OV:76
Adam Larsson	AGE:31	PO:51	OV:76
Luke Schenn	AGE:34	PO:61	OV:73
Cam Fowler	AGE:32	PO:60	OV:73
Ryan Lindgren	AGE:26	PO:64	OV:72
Luke Hughes (R)	AGE:20	PO:97	OV:71
Simon Benoit	AGE:25	PO:47	OV:70
Daniil Miromanov (R)	AGE:26	PO:73	OV:69

Nick Cicek (R)	AGE:23	PO:68	OV:68
Urho Vaakanainen	AGE:25	PO:75	OV:67
Dan Renouf	AGE:29	PO:55	OV:65
Maxime Lajoie	AGE:26	PO:51	OV:65
Jonathan Aspirot	AGE:24	PO:57	OV:64
Billy Sweezey	AGE:28	PO:53	OV:63
Tory Dello	AGE:27	PO:72	OV:62

Jake Oettinger	AGE:25	PO:76	OV:90
Charlie Lindgren	AGE:30	PO:54	OV:76
Joe Vrbetic (R)	AGE:21	PO:74	OV:73
Arvid Soderblom (R)	AGE:24	PO:66	OV:70
Zachary Sawchenko	AGE:26	PO:61	OV:70

Espoirs

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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

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Aatu Jamsen	New York Rangers	2020	194
Alex Bump	New York Rangers	2022	108
Alex Gagne	New York Rangers	2021	150
Alexander Ljungkrantz	New York Rangers	2020	95
Andre Gasseau	New York Rangers	2021	196
Andrew Gibson	New York Rangers	2023	46
Aydar Suniev	New York Rangers	2023	67
Benjamin Kings	New York Rangers	2022	100
Brendan Guhle	New York Rangers	2015	51
Connor Kurth	New York Rangers	2022	172
Conor Geekie	New York Rangers	2022	9
Emmett Croteau	New York Rangers	2022	161
Ethan Miedema	New York Rangers	2023	122
Frederic Brunet	New York Rangers	2022	127
Gavin Hain	New York Rangers	2018	175
Jared Lipinski	New York Rangers	2023	121
Jonathan Lekkerimaki	New York Rangers	2022	8
Kyle Jackson	New York Rangers	2022	200
Liam Gilmartin	New York Rangers	2021	182
Liam Steele	New York Rangers	2022	204
Marshall Warren	New York Rangers	2019	134
Mason Beaupit	New York Rangers	2022	101
Matias Rajaniemi	New York Rangers	2020	188
Matteo Fabrizi	New York Rangers	2023	178
Nick Malik	New York Rangers	2022	136
Nikolai Kovalenko	New York Rangers	2018	172
Parker Bell	New York Rangers	2022	119
Rodwin Dionicio	New York Rangers	2023	119
Sam Rinzel	New York Rangers	2022	38
Scott Walford	New York Rangers	2017	63
Talyn Boyko	New York Rangers	2021	105
Tanner Ludtke	New York Rangers	2023	77
Tristan Bertucci	New York Rangers	2023	71
Ty Henricks	New York Rangers	2023	163

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
9		EDM STL		SEA	NYR	NYR	STL NYR EDM
10	NYR		NYR	NYR	NYR	NYR	NYR
11	NYR	NYR	NYR	NYR	NYR	NYR	NYR
12	NYR	NYR	NYR	NYR	NYR	NYR	NYR
13	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.

New York Rangers Historique de transactions

[2024-03-26 11:17:07] - Adam Edgstrom was added to New York Rangers.
[2024-03-12 09:51:03] - TRADE : From Pittsburgh Penguins to New York Rangers : Y:9-RND:4-SEA.
[2024-03-12 09:51:03] - TRADE : From New York Rangers to Pittsburgh Penguins : Garnet Hathaway (68).
[2024-03-12 09:50:14] - TRADE : From St. Louis Blues to New York Rangers : Michael Bunting (69), Y:9-RND:7-STL.
[2024-03-12 09:50:14] - TRADE : From New York Rangers to St. Louis Blues : Will Cuylle (63), Y:10-RND:2-NYR.
[2024-03-10 09:42:46] - TRADE : From New York Rangers to Colorado Avalanche : Y:9-RND:4-EDM.
[2024-03-08 07:44:42] - TRADE : From Colorado Avalanche to New York Rangers : Kyle Connor (75).
[2024-03-08 07:44:42] - TRADE : From New York Rangers to Colorado Avalanche : Pierre Luc Dubois (74), Brayden Yager (P), Y:9-RND:2-NYR.
[2024-03-05 20:12:32] - TRADE : From New York Rangers to Colorado Avalanche : Anthony Duclair (71), David Goyette (P).
[2024-03-05 20:12:32] - TRADE : From Colorado Avalanche to New York Rangers : Jared McCann (73).
[2024-03-03 08:16:55] - TRADE : From Minnesota Wild to New York Rangers : Tyler Pitlick (66).
[2024-03-03 08:16:55] - TRADE : From New York Rangers to Minnesota Wild : Austin Watson (67).
[2024-02-29 17:50:38] - TRADE : From New York Rangers to St. Louis Blues : Brady Tkachuk (76), Tanner Jeannot (69).
[2024-02-29 17:50:38] - TRADE : From St. Louis Blues to New York Rangers : Nico Hischier (76), Alex Iafallo (70), Y:9-RND:2-STL.
[2023-10-28 18:47:45] - New Record for Team's Most Shots (49) in 1 Game for New York Rangers!
[2023-10-25 16:40:05] - Luke Hughes was added to New York Rangers.
[2023-10-12 13:47:27] - Dan Renouf was added to New York Rangers.
[2023-08-27 19:34:18] - TRADE : From New York Rangers to Edmonton Oilers : Emil Heineman (56), Calum Ritchie (P), Michael Hrabal (P), Rudy Guimond (P).
[2023-08-27 19:34:18] - TRADE : From Edmonton Oilers to New York Rangers : Blake Wheeler (75), Y:9-RND:2-EDM, Y:9-RND:7-EDM.
[2023-08-22 19:33:42] - Arvid Soderblom was added to New York Rangers.
[2023-08-22 19:33:36] - Nick Cicek was added to New York Rangers.
[2023-08-22 19:33:31] - Charlie Lindgren was added to New York Rangers.
[2023-08-22 19:33:24] - Garnet Hathaway was added to New York Rangers.
[2023-08-11 10:16:50] - TRADE : From St-Louis Blues to New York Rangers : Anthony Duclair (71).
[2023-08-11 09:42:54] - TRADE : From New York Rangers to Ottawa Senators : Carson Soucy (71).
[2023-08-11 09:42:54] - TRADE : From Ottawa Senators to New York Rangers : Tanner Jeannot (71).

[2024-04-27 07:31:00] Nico Hischier from New York Rangers is back from Bruised Left Arm Injury.
[2024-04-27 07:30:51] Game 12 - Nico Hischier from New York Rangers is injured (Bruised Left Arm) and is out for 4 days.
[2024-04-27 07:28:45] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-04-25 11:18:55] Pro Game #4 - Kyle Connor from New York Rangers has scored a Hat Trick!
[2024-04-25 11:17:59] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-04-24 15:04:40] Successfully loaded New York Rangers lines done with STHS Client - 3.3.5.5
[2024-04-24 15:04:38] Dan Renouf of New York Rangers was sent down to farm.
[2024-04-24 15:04:38] Maxime Lajoie of New York Rangers was sent down to farm.
[2024-04-20 07:43:55] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:39:42] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:39:34] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:39:06] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:38:33] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:38:17] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:36:45] Last 7 Days Farm Star : 1 - Brett Murray of Manitoba Moose (3-5-8) / 2 - Jansen Harkins of Hartford Wolf Pack (3-3-6) / 3 - Hudson Fasching of Palm Springs (3-3-6)
[2024-04-20 07:36:35] Hartford Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:36:33] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[2024-04-20 07:36:33] Auto Roster Farm Only Function has been run for New York Rangers.
[2024-04-20 07:36:26] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[2024-04-20 07:36:26] Auto Roster Farm Only Function has been run for New York Rangers.
[2024-04-20 07:36:10] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[2024-04-20 07:36:10] Auto Roster Partial Function has been run for New York Rangers.
[2024-04-20 07:36:10] Dan Renouf of New York Rangers was sent to pro.
[2024-04-20 07:35:28] Brendan Lemieux from Hartford Wolf Pack is back from Sprained Right Ankle Injury.
[2024-04-20 07:32:34] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[2024-04-20 07:32:34] Auto Roster Partial Function has been run for New York Rangers.
[2024-04-20 07:32:34] Maxime Lajoie of New York Rangers was sent to pro.
[2024-04-20 07:32:20] Game 1039 - Brendan Lemieux from Hartford Wolf Pack is injured (Sprained Right Ankle) and is out for 1 week.
[2024-04-20 07:32:18] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[2024-04-20 07:32:18] Auto Roster Farm Only Function has been run for New York Rangers.
[2024-04-20 07:32:11] Jansen Harkins from Hartford Wolf Pack is back from Upper Body Injury.
[2024-04-20 07:32:11] Last 7 Days Farm Star : 1 - Riley Tufte of Hartford Wolf Pack (5-1-6) / 2 - Justin Scott of Cleveland Monsters (5-1-6) / 3 - Cole Guttman of Hershey Bears (2-3-5)
[2024-04-20 07:32:05] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[2024-04-20 07:32:05] Auto Roster Farm Only Function has been run for New York Rangers.
[2024-04-20 07:31:58] Farm Game #1009 - Riley Tufte from Hartford Wolf Pack has scored a Hat Trick!
[2024-04-20 07:31:56] Auto Lines Partial Function has been run for Hartford Wolf Pack.
[2024-04-20 07:31:56] Auto Roster Farm Only Function has been run for New York Rangers.

Pas de blessure ou de suspension.

New York 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

New York 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

New York 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

New York 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

New York 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

	New York Rangers
	GP: 2 \| W: 1 \| L: 1 GF: 7 \| GA: 3 \| PP%: 22.22% \| PK%: 100.00% DG: Alain Desnoyer \| Morale : 74 \| Moyenne d’équipe : 73 #20 vs Washington Capitals