Hartford Wolf Pack
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Formation
Points
Informations joueurs
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Statistiques d’équipe
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Finance
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Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
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Centre de jeu
	New York Rangers 8-8-2, 18pts	4	FINAL	1	Pittsburgh Penguins 4-12-3, 11pts

Team Stats
L1	Streak	L6
2-2-2	Home Record	2-6-2
6-6-0	Away Record	2-6-1
6-4-0	Last 10 Games	2-6-2
2.61	Buts par match	1.00
2.67	Buts contre par match	3.00
12.24%	Pourcentage en avantage numérique	8.70%
82.14%	Pourcentage en désavantage numérique	80.77%

New York Rangers
8-8-2, 18pts

FINAL

Philadelphia Flyers
11-8-1, 23pts

Team Stats
L1	Streak	W5
2-2-2	Home Record	7-2-1
6-6-0	Away Record	4-6-0
6-4-0	Last 10 Games	6-4-0
2.61	Buts par match	2.45
2.67	Buts contre par match	2.65
12.24%	Pourcentage en avantage numérique	15.71%
82.14%	Pourcentage en désavantage numérique	66.67%

Boston Bruins
9-7-3, 21pts

2023-11-16

New York Rangers
8-8-2, 18pts

Statistiques d’équipe
W1	Séquence	L1
4-3-2	Fiche domicile	2-2-2
5-4-1	Fiche visiteur	6-6-0
4-4-2	10 derniers matchs	6-4-0
2.89	Buts par match	2.61
2.84	Buts contre par match	2.61
16.39%	Pourcentage en avantage numérique	12.24%
78.72%	Pourcentage en désavantage numérique	82.14%

Buffalo Sabres
15-3-2, 32pts

2023-11-18

New York Rangers
8-8-2, 18pts

Statistiques d’équipe
W1	Séquence	L1
9-1-0	Fiche domicile	2-2-2
6-2-2	Fiche visiteur	6-6-0
7-2-1	10 derniers matchs	6-4-0
3.40	Buts par match	2.61
2.05	Buts contre par match	2.61
23.73%	Pourcentage en avantage numérique	12.24%
79.66%	Pourcentage en désavantage numérique	82.14%

Detroit Redwings
12-6-1, 25pts

2023-11-20

New York Rangers
8-8-2, 18pts

Statistiques d’équipe
OTL1	Séquence	L1
7-4-0	Fiche domicile	2-2-2
5-2-1	Fiche visiteur	6-6-0
5-4-1	10 derniers matchs	6-4-0
3.00	Buts par match	2.61
2.53	Buts contre par match	2.61
14.71%	Pourcentage en avantage numérique	12.24%
78.00%	Pourcentage en désavantage numérique	82.14%

Meneurs d'équipe
	Buts Brady Tkachuk 7	Passes Adam Fox 10

	Points Brady Tkachuk 14	Plus/Moins Robert Thomas 6

	Victoires Jake Oettinger 8	Pourcentage d’arrêts Jake Oettinger 0.93

Statistiques d’équipe
Buts pour 47 2.61 GFG	Tirs pour 598 33.22 Avg	Pourcentage en avantage numérique 12.2% 6 GF	Début de zone offensive 39.9%
Buts contre 48 2.67 GAA	Tirs contre 588 32.67 Avg	Pourcentage en désavantage numérique 82.1%% 10 GA	Début de la zone défensive 37.9%

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	17,640
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	30
	Limite contact	50 / 100
	Espoirs	37
Plafond salarial
	Cap Salarial de la Saison estimé	82,867,242$
	Plafond salarial disponible	632,758$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	11,084,661$
	Dépenses annuelles à ce jour	20,332,612$
	Revenus de la saison estimés	64,660,522$
	Dépenses de la saison estimées	64,034,724$
	Compte bancaire actuel	126,821,413$
	Compte bancaire projeté	123,620,069$

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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 moyen
1	Brady Tkachuk	0	X	X	X		100.00	90	83	63	84	92	89	90	83	79	81	81	63	78	68	85	82	44	74	2	24	2	5,500,000$
2	Blake Wheeler	0	X	X	X		100.00	62	47	78	75	91	89	86	78	65	82	72	70	74	92	98	38	42	73	2	37	2	1,200,000$
3	Robert Thomas	0	X		X		100.00	58	45	78	82	80	90	87	79	81	87	72	78	80	70	72	79	47	73	2	24	3	8,000,000$
4	Pierre Luc Dubois	0	X				100.00	68	41	68	78	89	87	90	79	78	77	79	68	77	65	64	79	45	71	2	25	2	7,000,000$
5	J.T. Compher	0	X	X	X		99.00	56	39	90	74	73	91	89	73	81	74	72	86	67	76	74	66	42	71	0	28	3	3,200,000$
6	Troy Terry	0		X	X		100.00	67	45	82	82	71	89	87	80	57	78	80	63	64	55	55	56	44	70	0	26	4	5,500,000$
7	Adam Lowry	0	X	X	X		99.00	87	78	79	68	94	86	90	65	82	61	62	90	63	76	75	49	38	69	1	30	3	2,900,000$
8	Anthony Duclair	0		X	X		100.00	66	39	90	80	72	85	80	77	56	72	75	62	80	76	77	55	43	69	2	28	4	4,500,000$
9	Tanner Jeannot	0		X	X		100.00	90	83	62	69	88	86	90	67	56	66	65	87	63	69	70	47	42	69	0	26	3	3,500,000$
10	Garnet Hathaway	0	X	X	X		100.00	93	57	75	67	85	87	90	64	56	61	64	79	63	84	76	29	40	67	0	32	4	2,985,000$
11	Austin Watson	0		X	X		100.00	89	63	64	63	90	79	84	63	55	58	60	83	64	81	75	60	41	66	0	31	2	2,000,000$
12	Casey Cizikas (A)	0	X	X	X		100.00	83	48	79	64	71	85	89	64	87	60	60	84	65	84	78	46	40	66	1	32	3	3,000,000$
13	Adam Larsson	0				X	99.00	87	43	80	70	85	93	90	68	30	70	63	91	53	81	75	52	42	75	2	31	2	6,950,000$
14	Adam Fox (A)	0				X	100.00	59	34	90	81	70	95	90	81	30	88	68	92	59	68	74	79	44	75	2	25	1	9,000,000$
15	Cam Fowler	0				X	100.00	53	41	86	73	83	95	90	72	30	78	66	81	57	85	78	61	43	72	2	31	2	6,500,000$
16	Ryan Lindgren	0				X	100.00	77	39	81	66	79	90	87	63	30	72	59	89	60	71	72	65	40	71	2	25	1	3,000,000$
17	Luke Schenn	0				X	100.00	90	80	70	62	86	87	86	62	30	69	62	78	48	85	77	62	43	70	2	34	2	1,800,000$
18	Simon Benoit	0				X	100.00	90	51	85	63	85	86	85	62	30	64	56	79	48	68	67	48	41	69	0	25	2	750,000$
Rayé
Équipe Mineure
1	Jansen Harkins	0	X				100.00	68	45	89	67	80	85	87	67	73	65	69	66	63	69	66	68	39	66	0	26	3	850,000$
2	Sam Steel	0	X	X			100.00	59	45	92	71	69	82	85	75	79	70	64	63	62	53	53	80	46	65	2	25	1	850,000$
3	Riley Tufte	0		X			100.00	79	55	87	70	99	85	87	62	52	62	63	58	60	67	66	77	45	65	0	25	1	925,000$
4	Curtis Douglas (R)	0	X	X			100.00	90	83	78	61	99	75	84	62	65	58	61	62	60	63	63	85	46	64	0	23	1	750,000$
5	Tim Gettinger	58		X			100.00	86	4	77	60	99	83	77	62	66	61	59	66	59	68	67	51	43	64	0	25	1	800,000$
6	Brendan Lemieux	0		X	X		100.00	89	56	67	66	81	76	78	63	59	62	62	58	62	73	69	70	46	63	2	27	3	1,500,000$
7	Mathieu Olivier	0			X		100.00	64	53	76	65	84	78	80	65	52	61	62	64	56	68	66	49	44	63	0	26	1	985,000$
8	Will Cuylle (R)	0		X			100.00	72	40	70	66	70	77	78	66	57	62	66	67	55	51	58	89	43	63	2	21	1	900,000$
9	Josh Dunne	0	X		X		100.00	81	67	79	68	83	88	81	64	72	57	61	64	62	57	57	68	31	63	0	24	1	985,000$
10	Mitchell Stephens	0	X				100.00	64	39	89	58	75	75	74	55	77	55	58	60	64	69	67	73	43	59	2	26	3	750,000$
11	Josh Doan (R)	0			X		100.00	55	45	77	66	77	72	75	66	50	55	55	55	65	45	55	77	43	58	2	25	1	775,000$
12	Philippe Daoust (R)	0		X			100.00	65	30	61	61	68	77	78	58	50	59	59	59	60	61	41	75	43	58	0	22	2	821,667$
13	Daniil Miromanov (R)	0				X	100.00	77	55	65	72	65	80	88	69	30	67	61	74	55	47	58	75	38	67	0	26	3	1,500,000$
14	Nick Cicek (R)	0				X	100.00	87	65	70	70	77	78	80	66	30	66	60	75	60	55	44	69	46	67	0	23	4	1,499,000$
15	Luke Hughes (R)	0				X	100.00	77	55	66	68	75	75	80	68	30	68	62	76	60	55	55	99	42	67	2	20	2	0$
16	Urho Vaakanainen	0				X	100.00	74	42	87	65	80	86	74	64	30	65	58	66	49	68	69	77	36	66	2	24	2	850,000$
17	Maxime Lajoie	0				X	100.00	65	43	92	62	80	81	80	62	30	63	59	66	52	70	68	53	46	65	0	26	1	800,000$
18	Billy Sweezey	0				X	100.00	88	65	78	61	67	77	85	60	30	60	58	65	55	46	66	53	45	64	0	27	1	975,000$
19	Justin Sourdif (R)	0	X		X		100.00	66	40	70	67	71	72	74	60	62	60	60	60	40	46	56	76	36	59	2	21	2	847,500$
20	Tuuka Tieksola (R)	0			X		100.00	60	60	60	60	60	60	60	59	60	60	59	59	60	61	61	1	30	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	30	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	30	56	0	22	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	25	55	0	22	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	25	55	0	22	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	28	65	0	29	1	750,000$
26	Jonathan Aspirot	0				X	100.00	61	48	84	62	77	80	79	58	30	59	61	66	45	70	67	58	30	63	0	24	2	850,000$
27	Tory Dello	0				X	100.00	76	40	81	60	72	74	84	54	30	57	57	68	56	46	46	74	30	62	0	26	1	975,000$

	MOYENNE D’ÉQUIPE						99.83	76	53	78	72	82	88	88	71	56	72	68	79	65	75	75	59	42	71

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	96.00	96	95	92	94	95	94	97	96	95	96	95	66	72	77	47	88	2	24	1	3,500,000$
2	Charlie Lindgren	0	100.00	81	72	70	76	80	79	81	80	78	81	80	70	84	54	43	75	0	29	4	1,925,000$
Rayé
Équipe Mineure
1	Joe Vrbetic (R)	0	100.00	71	72	75	88	71	73	72	71	73	70	72	66	66	76	47	71	0	21	1	775,000$
2	Zachary Sawchenko	0	100.00	72	75	75	74	71	71	72	72	70	72	71	66	70	61	46	70	0	25	2	975,000$
3	Arvid Soderblom (R)	0	100.00	70	74	74	84	66	72	74	75	74	70	65	65	55	66	32	70	0	24	4	1,499,000$

	MOYENNE D’ÉQUIPE		98.00	89	84	81	85	88	87	89	88	87	89	88	68	78	66	45	82

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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	FW	FL	FT	S1	S2	S3
1	Brady Tkachuk	New York Rangers	C/LW/RW	18	7	7	14	4	33	15	39	9	77	23	37	9.09%	11	323	17.96	2	1	3	9	42	2	13	1	0	55.00%	20	27	4	0	0.87	0	1	2	1	1	2
2	Robert Thomas	New York Rangers	C/RW	18	7	7	14	6	4	0	10	14	43	16	20	16.28%	6	312	17.38	2	1	3	4	40	0	4	2	1	48.21%	307	23	7	0	0.90	0	0	0	1	1	1
3	Adam Fox	New York Rangers	D	18	3	10	13	1	0	0	3	30	38	24	24	7.89%	23	444	24.67	2	2	4	8	49	0	42	0	0	0.00%	0	16	15	0	0.59	0	0	0	0	1	1
4	Pierre Luc Dubois	New York Rangers	C	18	6	6	12	3	10	0	28	16	57	25	30	10.53%	1	288	16.05	0	1	1	3	37	0	0	2	0	53.47%	202	16	5	0	0.83	0	0	0	1	0	0
5	Anthony Duclair	New York Rangers	LW/RW	18	4	6	10	2	0	0	8	7	70	24	39	5.71%	4	253	14.09	0	0	0	2	28	0	13	0	1	31.91%	47	17	2	0	0.79	0	0	0	0	1	0
6	Troy Terry	New York Rangers	LW/RW	18	6	4	10	0	0	0	15	11	48	27	28	12.50%	2	255	14.19	0	0	0	0	27	0	0	2	0	34.48%	58	25	3	0	0.78	0	0	0	1	0	1
7	Blake Wheeler	New York Rangers	C/LW/RW	18	2	6	8	1	4	0	14	17	36	18	31	5.56%	4	306	17.03	0	1	1	2	42	0	5	0	0	37.50%	96	11	4	0	0.52	0	0	0	0	0	0
8	J.T. Compher	New York Rangers	C/LW/RW	18	3	5	8	1	0	0	9	24	33	8	21	9.09%	10	298	16.58	0	0	0	0	1	0	43	0	0	59.09%	22	7	5	0	0.54	0	0	0	1	1	0
9	Tanner Jeannot	New York Rangers	LW/RW	18	1	6	7	2	16	0	15	18	19	7	19	5.26%	4	202	11.27	0	0	0	0	0	0	0	0	0	25.00%	20	8	3	0	0.69	0	0	0	0	0	0
10	Adam Larsson	New York Rangers	D	18	1	5	6	3	0	0	31	23	18	9	10	5.56%	29	390	21.71	0	0	0	2	36	0	64	0	0	0.00%	0	5	15	0	0.31	0	0	0	1	0	0
11	Casey Cizikas	New York Rangers	C/LW/RW	18	0	4	4	-5	6	0	19	12	17	7	15	0.00%	4	223	12.39	0	2	2	0	13	2	27	0	0	55.56%	90	4	2	0	0.36	0	0	0	0	0	1
12	Garnet Hathaway	New York Rangers	C/LW/RW	18	2	2	4	-4	14	0	16	10	32	10	15	6.25%	6	197	10.95	0	0	0	0	1	0	14	0	0	33.33%	6	14	5	0	0.41	0	0	0	0	0	0
13	Adam Lowry	New York Rangers	C/LW/RW	18	2	1	3	4	7	5	21	24	17	7	14	11.76%	6	308	17.13	0	0	0	0	11	2	61	0	0	51.00%	200	4	12	1	0.19	0	1	0	0	0	0
14	Austin Watson	New York Rangers	LW/RW	18	2	1	3	-3	11	5	19	6	22	4	16	9.09%	6	189	10.54	0	0	0	0	1	0	11	0	0	50.00%	10	5	2	0	0.32	0	0	1	1	0	0
15	Cam Fowler	New York Rangers	D	18	1	2	3	3	2	0	2	28	26	12	13	3.85%	28	362	20.17	0	0	0	1	46	0	10	1	0	0.00%	0	6	15	0	0.17	0	0	0	0	0	1
16	Simon Benoit	New York Rangers	D	18	0	3	3	0	8	0	22	15	14	7	4	0.00%	18	282	15.68	0	0	0	0	0	0	23	0	0	0.00%	0	1	7	0	0.21	0	0	0	0	0	0
17	Ryan Lindgren	New York Rangers	D	18	0	1	1	-1	0	0	27	34	19	9	8	0.00%	22	393	21.84	0	0	0	0	30	0	54	0	0	0.00%	0	3	18	0	0.05	0	0	0	0	0	0
18	Daniil Miromanov	Hartford Wolf Pack (NYR)	D	1	0	0	0	0	2	0	3	1	0	0	0	0.00%	0	9	9.13	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00%	0	0	0	0	0	0
19	Luke Schenn	New York Rangers	D	18	0	0	0	-1	51	15	19	12	11	4	5	0.00%	7	248	13.81	0	0	0	0	1	0	0	0	0	0.00%	0	3	9	0	0.00%	2	1	0	0	0	0
20	Urho Vaakanainen	Hartford Wolf Pack (NYR)	D	6	0	0	0	1	2	0	1	1	1	2	0	0.00%	1	44	7.47	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00%	0	0	0	0	0	0
21	Jansen Harkins	Hartford Wolf Pack (NYR)	C	6	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.03	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00%	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				337	47	76	123	17	170	40	321	312	598	243	349	7.86%	192	5335	15.83	6	8	14	31	411	6	390	8	2	47.77%	1078	195	133	1	0.46	2	3	3	7	5	7

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	EG	PS %	ST	BG	S1	S2	S3
1	Jake Oettinger	New York Rangers	17	8	7	2	0.930	2.22	1000	2	37	532	271	1	0.00%	16	2	1	3	2
2	Charlie Lindgren	New York Rangers	2	0	1	0	0.818	6.98	86	0	10	55	28	0	0.00%	2	16	0	0	0
Statistiques d’équipe totales ou en moyenne			19	8	8	2	0.920	2.60	1086	2	47	587	299	1		18	18	1	3	2

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	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Adam Fox	New York Rangers	D	25	1998-02-17 04:02:23	No	181 Lbs	5 ft11	No	No	No	No	1	Pro Only	9,000,000$	6,843,750$	9,000,000$	6,843,750$	9,000,000$	6,843,750$	No
Adam Larsson	New York Rangers	D	31	1992-11-12	No	209 Lbs	6 ft3	No	No	No	Yes	2	Pro Only	6,950,000$	5,284,896$	6,950,000$	5,284,896$	6,950,000$	5,284,896$	No	6,950,000$			Lien / Lien NHL
Adam Lowry	New York Rangers	C/LW/RW	30	1993-03-29	No	210 Lbs	6 ft5	No	No	No	Yes	3	Pro Only	2,900,000$	2,205,208$	2,900,000$	2,205,208$	2,900,000$	2,205,208$	No	2,900,000$	2,900,000$		Lien / Lien NHL
Anthony Duclair	New York Rangers	LW/RW	28	1995-08-26	No	197 Lbs	5 ft11	No	No	No	Yes	4	Pro Only	4,500,000$	3,421,875$	4,500,000$	3,421,875$	4,500,000$	3,421,875$	No	4,500,000$	4,500,000$	4,500,000$	Lien / Lien NHL
Austin Watson	New York Rangers	LW/RW	31	1992-01-13	No	204 Lbs	6 ft4	No	No	No	Yes	2	Pro Only	2,000,000$	1,520,833$	2,000,000$	1,520,833$	2,000,000$	1,520,833$	No	2,000,000$			Lien / Lien NHL
Blake Wheeler	New York Rangers	C/LW/RW	37	1986-08-31	No	220 Lbs	6 ft5	No	No	No	Yes	2	Pro Only	1,200,000$	912,500$	1,200,000$	912,500$	1,200,000$	912,500$	No	1,200,000$			Lien / Lien NHL
Brady Tkachuk	New York Rangers	C/LW/RW	24	1999-09-16	No	221 Lbs	6 ft4	No	No	No	No	2	Pro Only	5,500,000$	4,182,292$	5,500,000$	4,182,292$	5,500,000$	4,182,292$	No	5,500,000$			Lien
Cam Fowler	New York Rangers	D	31	1991-12-05	No	207 Lbs	6 ft1	No	No	No	Yes	2	Pro Only	6,500,000$	4,942,708$	6,500,000$	4,942,708$	6,500,000$	4,942,708$	No	6,500,000$			Lien / Lien NHL
Casey Cizikas	New York Rangers	C/LW/RW	32	1991-02-27	No	195 Lbs	5 ft11	No	No	No	Yes	3	Pro Only	3,000,000$	2,281,250$	3,000,000$	2,281,250$	3,000,000$	2,281,250$	No	3,000,000$	3,000,000$		Lien / Lien NHL
Charlie Lindgren	New York Rangers	G	29	1993-12-18	No	180 Lbs	6 ft1	No	No	No	No	4	Pro Only	1,925,000$	1,463,802$	1,925,000$	1,463,802$	1,925,000$	1,463,802$	No	1,925,000$	1,925,000$	1,925,000$	Lien / Lien NHL
Garnet Hathaway	New York Rangers	C/LW/RW	32	1991-11-23	No	203 Lbs	6 ft3	No	No	No	Yes	4	Pro Only	2,985,000$	2,269,844$	2,985,000$	2,269,844$	2,985,000$	2,269,844$	No	2,985,000$	2,985,000$	2,985,000$	Lien / Lien NHL
J.T. Compher	New York Rangers	C/LW/RW	28	1995-04-08	No	190 Lbs	6 ft0	No	No	No	Yes	3	Pro Only	3,200,000$	2,433,333$	3,200,000$	2,433,333$	3,200,000$	2,433,333$	No	3,200,000$	3,200,000$		Lien
Jake Oettinger	New York Rangers	G	24	1998-12-18	No	220 Lbs	6 ft5	No	No	No	No	1	Pro Only	3,500,000$	2,661,458$	3,500,000$	2,661,458$	3,500,000$	2,661,458$	No				Lien
Luke Schenn	New York Rangers	D	34	1989-11-02	No	227 Lbs	6 ft2	No	No	No	Yes	2	Pro Only	1,800,000$	1,368,750$	1,800,000$	1,368,750$	1,800,000$	1,368,750$	No	1,800,000$			Lien / Lien NHL
Pierre Luc Dubois	New York Rangers	C	25	1998-06-21 08:27:50	No	205 Lbs	6 ft3	No	No	No	No	2	Pro Only	7,000,000$	5,322,917$	7,000,000$	5,322,917$	7,000,000$	5,322,917$	No	7,000,000$
Robert Thomas	New York Rangers	C/RW	24	1999-07-02 03:44:17	No	218 Lbs	6 ft0	No	No	No	No	3	Pro Only	8,000,000$	6,083,333$	8,000,000$	6,083,333$	8,000,000$	6,083,333$	No	8,000,000$	8,000,000$		Lien
Ryan Lindgren	New York Rangers	D	25	1998-02-11	No	191 Lbs	6 ft0	No	No	No	No	1	Pro Only	3,000,000$	2,281,250$	3,000,000$	2,281,250$	3,000,000$	2,281,250$	No				Lien
Simon Benoit	New York Rangers	D	25	1998-09-19	No	203 Lbs	6 ft3	No	No	No	No	2	Pro & Farm	750,000$	570,312$	750,000$	570,312$	750,000$	570,312$	No	750,000$			Lien
Tanner Jeannot	New York Rangers	LW/RW	26	1997-05-29	No	208 Lbs	6 ft2	No	No	No	No	3	Pro Only	3,500,000$	2,661,458$	3,500,000$	2,661,458$	3,500,000$	2,661,458$	No	3,500,000$	3,500,000$		Lien
Troy Terry	New York Rangers	LW/RW	26	1997-09-10 01:19:38	No	185 Lbs	6 ft0	No	No	No	No	4	Pro Only	5,500,000$	4,182,292$	5,500,000$	4,182,292$	5,500,000$	4,182,292$	No	5,500,000$	5,500,000$	5,500,000$	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	28.35	204 Lbs	6 ft2	2.50	4,135,500$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
82,710,000$	67,210,000$	35,510,000$	14,910,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brady Tkachuk	Robert Thomas	Blake Wheeler	30	0	2	3
2	J.T. Compher	Pierre Luc Dubois	Troy Terry	30	0	2	3
3	Tanner Jeannot	Adam Lowry	Anthony Duclair	25	1	2	2
4	Austin Watson	Casey Cizikas	Garnet Hathaway	15	2	3	0

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

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brady Tkachuk	Robert Thomas	Blake Wheeler	60	0	1	4
2	Anthony Duclair	Pierre Luc Dubois	Troy Terry	40	0	1	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cam Fowler	Adam Fox	60	0	1	4
2	Ryan Lindgren	Adam Larsson	40	0	2	3

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

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Lindgren	Adam Larsson	60	1	2	2
2	Simon Benoit	Adam Fox	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Adam Lowry	60	1	2	2	Ryan Lindgren	Adam Larsson	60	1	2	2
2	Casey Cizikas	40	1	2	2	Simon Benoit	Adam Fox	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Robert Thomas	Brady Tkachuk	50	0	2	3
2	Pierre Luc Dubois	Troy Terry	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	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brady Tkachuk	Robert Thomas	Troy Terry	Cam Fowler	Adam Fox

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

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Robert Thomas , Pierre Luc Dubois , Adam Lowry	J.T. Compher, Adam Lowry	Austin Watson

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Adam Fox , Cam Fowler, Ryan Lindgren	Adam Fox	Adam Fox , Ryan Lindgren

Tirs de pénalité
Troy Terry , Brady Tkachuk, Pierre Luc Dubois , Robert Thomas , Anthony Duclair

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

Lignes d’attaque personnalisées en prolongation
Robert Thomas , Brady Tkachuk, Pierre Luc Dubois , Troy Terry , J.T. Compher, Blake Wheeler, Blake Wheeler, Adam Lowry, Anthony Duclair, Casey Cizikas, Tanner Jeannot

Lignes de défense personnalisées en prolongation
Adam Fox , Cam Fowler, Ryan Lindgren, Adam Larsson, 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	Arizona Coyotes	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	1	2	0	0	0	1	0	0	38	9	11	18	0	43	15	25	14	0	0	0.00%	5	0	100.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	21	14	25	8	16	7
2	Buffalo Sabres	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	0	0	0	0	23	4	6	13	0	32	8	21	24	1	0	0.00%	3	0	100.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	21	13	23	7	15	7
3	Calgary Flames	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	0	1	0	0	49	16	14	19	0	29	8	4	16	2	1	50.00%	2	1	50.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	24	17	18	8	16	7
4	Carolina Hurricanes	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	5	10	15	0	0	2	1	2	0	34	10	4	20	0	36	14	14	18	3	0	0.00%	7	3	57.14%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	23	15	22	8	14	6
5	Columbus Blue Jackets	2	1	1	0	0	0	0	0	9	9	0	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	5	4	1	2	0.500	9	14	23	0	0	4	3	2	0	73	17	25	31	0	63	14	15	41	9	1	11.11%	5	2	60.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	52	35	37	14	29	15
6	Dallas Stars	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	4	7	0	0	2	0	1	0	31	13	5	13	0	26	9	4	23	4	0	0.00%	2	1	50.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	26	18	18	7	14	7
7	Detroit Redwings	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	0	2	2	0	38	9	12	17	0	34	11	19	9	3	0	0.00%	2	0	100.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	21	12	22	8	16	8
8	Edmonton Oilers	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	0	0	2	0	31	9	10	12	0	32	9	8	21	2	0	0.00%	4	0	100.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	19	10	23	9	17	8
9	Minnesota Wild	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	8	12	0	0	2	2	0	0	59	24	19	16	0	55	35	14	32	6	0	0.00%	7	0	100.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	46	28	42	16	31	15
10	Nashville Predators	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	7	11	0	0	2	2	0	0	37	11	10	12	4	45	11	9	12	5	2	40.00%	2	1	50.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	26	17	22	9	16	8
11	New Jersey Devils	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	1	2	0	0	26	5	14	7	0	39	11	11	19	4	0	0.00%	3	0	100.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	20	11	22	8	16	8
12	Philadelphia Flyers	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	1	2	0	0	0	1	0	0	30	4	19	7	0	38	14	12	23	1	0	0.00%	6	2	66.67%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	20	12	25	8	14	6
13	Pittsburgh Penguins	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	6	10	0	0	2	2	0	0	35	15	8	12	0	23	3	4	19	3	1	33.33%	2	0	100.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	21	13	20	8	17	8
14	Seattle Kraken	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	1	0	1	0	0	0	29	15	8	6	0	35	4	4	9	3	0	0.00%	2	0	100.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	20	12	20	9	18	8
15	Vancouver Canucks	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	1	1	0	0	26	12	10	4	0	33	13	8	21	2	1	50.00%	4	0	100.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	21	12	20	9	17	8
16	Winnipeg Jets	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	4	7	0	0	0	1	1	1	39	6	15	15	3	25	13	0	20	1	0	0.00%	0	0	0.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	23	15	20	8	18	9
	Total	18	7	8	0	1	2	0	0	47	48	-1	6	2	2	0	0	2	0	0	21	21	0	12	5	6	0	1	0	0	0	26	27	-1	18	0.500	47	76	123	1	0	17	19	10	1	598	179	190	222	7	588	192	172	321	49	6	12.24%	56	10	82.14%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	412	261	387	153	290	143
	_Since Last GM Reset	18	7	8	0	1	2	0	0	47	48	-1	6	2	2	0	0	2	0	0	21	21	0	12	5	6	0	1	0	0	0	26	27	-1	18	0.500	47	76	123	1	0	17	19	10	1	598	179	190	222	7	588	192	172	321	49	6	12.24%	56	10	82.14%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	412	261	387	153	290	143
	_Vs Conference	8	4	4	0	0	0	0	0	26	24	2	3	1	2	0	0	0	0	0	13	13	0	5	3	2	0	0	0	0	0	13	11	2	8	0.500	26	43	69	0	0	9	11	6	0	259	64	88	107	0	265	75	96	153	24	2	8.33%	28	7	75.00%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	181	115	174	66	124	61
	_Vs Division	6	3	3	0	0	0	0	0	22	20	2	2	0	2	0	0	0	0	0	9	11	-2	4	3	1	0	0	0	0	0	13	9	4	6	0.500	22	37	59	0	0	9	9	4	0	198	51	70	77	0	199	56	56	120	20	2	10.00%	23	7	69.57%	0	215	426	50.47%	197	405	48.64%	103	237	43.46%	138	89	128	49	92	45

			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
18	18	L1	47	76	123	598	588	192	172	321	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	7	8	1	2	0	0	47	48

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	2	0	2	0	0	21	21

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	5	6	1	0	0	0	26	27

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	4	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
49	6	12.24%	56	10	82.14%	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
179	190	222	7	17	19	10	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
215	426	50.47%	197	405	48.64%	103	237	43.46%

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
412	261	387	153	290	143

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
3 - 2023-10-03	10	New York Rangers	0	Buffalo Sabres	2	AL		Sommaire du match
5 - 2023-10-05	22	New York Rangers	5	Columbus Blue Jackets	4	AW		Sommaire du match
7 - 2023-10-07	37	Arizona Coyotes	2	New York Rangers	1	BL	X	Sommaire du match
10 - 2023-10-10	53	Nashville Predators	5	New York Rangers	4	BL	X	Sommaire du match
12 - 2023-10-12	77	New York Rangers	1	Seattle Kraken	3	AL		Sommaire du match
15 - 2023-10-15	96	New York Rangers	1	Calgary Flames	3	AL		Sommaire du match
17 - 2023-10-17	110	New York Rangers	2	Edmonton Oilers	1	AW		Sommaire du match
19 - 2023-10-19	124	New York Rangers	2	Vancouver Canucks	4	AL		Sommaire du match
21 - 2023-10-21	134	New York Rangers	3	Winnipeg Jets	2	AW	X	Sommaire du match
24 - 2023-10-24	148	Carolina Hurricanes	6	New York Rangers	5	BL		Sommaire du match
26 - 2023-10-26	169	New York Rangers	1	Minnesota Wild	2	AL		Sommaire du match
29 - 2023-10-29	183	Detroit Redwings	2	New York Rangers	4	BW		Sommaire du match
31 - 2023-10-31	196	Minnesota Wild	1	New York Rangers	3	BW		Sommaire du match
34 - 2023-11-03	225	Columbus Blue Jackets	5	New York Rangers	4	BL		Sommaire du match
40 - 2023-11-09	262	New York Rangers	3	New Jersey Devils	2	AW		Sommaire du match
42 - 2023-11-11	274	New York Rangers	3	Dallas Stars	1	AW		Sommaire du match
44 - 2023-11-13	283	New York Rangers	4	Pittsburgh Penguins	1	AW		Sommaire du match
46 - 2023-11-15	294	New York Rangers	1	Philadelphia Flyers	2	AL		Sommaire du match
47 - 2023-11-16	308	Boston Bruins	-	New York Rangers	-
49 - 2023-11-18	322	Buffalo Sabres	-	New York Rangers	-
51 - 2023-11-20	338	Detroit Redwings	-	New York Rangers	-
54 - 2023-11-23	358	New York Rangers	-	Nashville Predators	-
55 - 2023-11-24	370	San Jose Sharks	-	New York Rangers	-
57 - 2023-11-26	382	New York Rangers	-	Ottawa Senators	-
61 - 2023-11-30	414	New York Rangers	-	Washington Capitals	-
62 - 2023-12-01	424	Los Angeles Kings	-	New York Rangers	-
64 - 2023-12-03	432	Toronto Maple Leafs	-	New York Rangers	-
67 - 2023-12-06	456	Anaheim Ducks	-	New York Rangers	-
68 - 2023-12-07	463	New York Rangers	-	Boston Bruins	-
71 - 2023-12-10	489	New York Rangers	-	Toronto Maple Leafs	-
74 - 2023-12-13	511	Edmonton Oilers	-	New York Rangers	-
75 - 2023-12-14	522	Buffalo Sabres	-	New York Rangers	-
79 - 2023-12-18	529	Washington Capitals	-	New York Rangers	-
81 - 2023-12-20	548	New York Rangers	-	Florida Panthers	-
82 - 2023-12-21	560	New York Rangers	-	Tampa Bay Lightning	-
85 - 2023-12-24	575	Carolina Hurricanes	-	New York Rangers	-
87 - 2023-12-26	591	Chicago Blackhawks	-	New York Rangers	-
89 - 2023-12-28	611	New York Rangers	-	Montreal Canadiens	-
91 - 2023-12-30	621	Vancouver Canucks	-	New York Rangers	-
94 - 2024-01-02	647	New York Rangers	-	St. Louis Blues	-
96 - 2024-01-04	653	New York Rangers	-	Washington Capitals	-
97 - 2024-01-05	669	Washington Capitals	-	New York Rangers	-
99 - 2024-01-07	681	Seattle Kraken	-	New York Rangers	-
101 - 2024-01-09	701	New York Rangers	-	Las Vegas Golden Knights	-
103 - 2024-01-11	717	New York Rangers	-	Los Angeles Kings	-
104 - 2024-01-12	722	New York Rangers	-	Anaheim Ducks	-
106 - 2024-01-14	738	New York Rangers	-	San Jose Sharks	-
109 - 2024-01-17	755	Las Vegas Golden Knights	-	New York Rangers	-
110 - 2024-01-18	766	New York Rangers	-	Ottawa Senators	-
119 - 2024-01-27	781	Colorado Avalanche	-	New York Rangers	-
121 - 2024-01-29	791	Tampa Bay Lightning	-	New York Rangers	-
123 - 2024-01-31	802	New York Rangers	-	Chicago Blackhawks	-
126 - 2024-02-03	820	Calgary Flames	-	New York Rangers	-
129 - 2024-02-06	840	Montreal Canadiens	-	New York Rangers	-
132 - 2024-02-09	863	New York Rangers	-	New York Islanders	-
134 - 2024-02-11	877	Dallas Stars	-	New York Rangers	-
136 - 2024-02-13	891	New York Rangers	-	New Jersey Devils	-
138 - 2024-02-15	905	New York Rangers	-	Philadelphia Flyers	-
139 - 2024-02-16	921	New York Rangers	-	Columbus Blue Jackets	-
142 - 2024-02-19	939	Columbus Blue Jackets	-	New York Rangers	-
145 - 2024-02-22	964	New York Rangers	-	Toronto Maple Leafs	-
147 - 2024-02-24	976	Florida Panthers	-	New York Rangers	-
152 - 2024-02-29	1018	St. Louis Blues	-	New York Rangers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2024-03-02	1028	New Jersey Devils	-	New York Rangers	-
155 - 2024-03-03	1032	New York Rangers	-	Carolina Hurricanes	-
157 - 2024-03-05	1052	New York Rangers	-	Tampa Bay Lightning	-
159 - 2024-03-07	1061	New York Rangers	-	Pittsburgh Penguins	-
160 - 2024-03-08	1073	New York Islanders	-	New York Rangers	-
162 - 2024-03-10	1085	Winnipeg Jets	-	New York Rangers	-
164 - 2024-03-12	1098	New York Rangers	-	Boston Bruins	-
166 - 2024-03-14	1119	Florida Panthers	-	New York Rangers	-
169 - 2024-03-17	1137	Philadelphia Flyers	-	New York Rangers	-
171 - 2024-03-19	1159	New York Rangers	-	Colorado Avalanche	-
173 - 2024-03-21	1168	New York Rangers	-	Arizona Coyotes	-
175 - 2024-03-23	1182	Pittsburgh Penguins	-	New York Rangers	-
177 - 2024-03-25	1198	New Jersey Devils	-	New York Rangers	-
179 - 2024-03-27	1213	New York Rangers	-	Detroit Redwings	-
181 - 2024-03-29	1234	Montreal Canadiens	-	New York Rangers	-
183 - 2024-03-31	1244	New York Rangers	-	New York Islanders	-
185 - 2024-04-02	1257	Philadelphia Flyers	-	New York Rangers	-
187 - 2024-04-04	1270	New York Islanders	-	New York Rangers	-
189 - 2024-04-06	1292	Ottawa Senators	-	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	34,695	29,177	12,000	23,970	6,000
Attendance PCT	96.38%	97.26%	100.00%	99.88%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
35	17640 - 98.00%	1,847,444$	11,084,661$	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
20,332,612$	82,710,000$	82,710,000$	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
430,781$	19,973,216$	4,992,150$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
64,660,522$	146	438,594$	64,034,724$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
67,861,866$	126,821,413$	123,620,069$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
82,867,242$	632,758$	83,500,000$	21,167,242$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Brady Tkachuk	AGE:24	PO:82	OV:74
Blake Wheeler	AGE:37	PO:38	OV:73
J.T. Compher	AGE:28	PO:66	OV:71
Troy Terry	AGE:26	PO:56	OV:70
Anthony Duclair	AGE:28	PO:55	OV:69
Adam Lowry	AGE:30	PO:49	OV:69
Tanner Jeannot	AGE:26	PO:47	OV:69
Garnet Hathaway	AGE:32	PO:29	OV:67
Austin Watson	AGE:31	PO:60	OV:66
Casey Cizikas	AGE:32	PO:46	OV:66
Sam Steel	AGE:25	PO:80	OV:65
Riley Tufte	AGE:25	PO:77	OV:65
Curtis Douglas (R)	AGE:23	PO:85	OV:64
Tim Gettinger	AGE:25	PO:51	OV:64
Will Cuylle (R)	AGE:21	PO:89	OV:63
Brendan Lemieux	AGE:27	PO:70	OV:63
Philippe Daoust (R)	AGE:22	PO:75	OV:58
Dillon Hamaliuk	AGE:23	PO:76	OV:56
Ethan Keppen (R)	AGE:22	PO:65	OV:56
Maxim Cajkovic (R)	AGE:22	PO:77	OV:55
Bennett MacArthur (R)	AGE:22	PO:60	OV:55

Brady Tkachuk	AGE:24	PO:82	OV:74
Robert Thomas	AGE:24	PO:79	OV:73
Blake Wheeler	AGE:37	PO:38	OV:73
Pierre Luc Dubois	AGE:25	PO:79	OV:71
J.T. Compher	AGE:28	PO:66	OV:71
Adam Lowry	AGE:30	PO:49	OV:69
Garnet Hathaway	AGE:32	PO:29	OV:67
Jansen Harkins	AGE:26	PO:68	OV:66
Casey Cizikas	AGE:32	PO:46	OV:66
Sam Steel	AGE:25	PO:80	OV:65
Curtis Douglas (R)	AGE:23	PO:85	OV:64
Josh Dunne	AGE:24	PO:68	OV:63
Justin Sourdif (R)	AGE:21	PO:76	OV:59
Mitchell Stephens	AGE:26	PO:73	OV:59
Ethan Keppen (R)	AGE:22	PO:65	OV:56

Brady Tkachuk	AGE:24	PO:82	OV:74
Robert Thomas	AGE:24	PO:79	OV:73
Blake Wheeler	AGE:37	PO:38	OV:73
J.T. Compher	AGE:28	PO:66	OV:71
Troy Terry	AGE:26	PO:56	OV:70
Anthony Duclair	AGE:28	PO:55	OV:69
Adam Lowry	AGE:30	PO:49	OV:69
Tanner Jeannot	AGE:26	PO:47	OV:69
Garnet Hathaway	AGE:32	PO:29	OV:67
Austin Watson	AGE:31	PO:60	OV:66
Casey Cizikas	AGE:32	PO:46	OV:66
Brendan Lemieux	AGE:27	PO:70	OV:63
Josh Dunne	AGE:24	PO:68	OV:63
Mathieu Olivier	AGE:26	PO:49	OV:63
Justin Sourdif (R)	AGE:21	PO:76	OV:59
Josh Doan (R)	AGE:25	PO:77	OV:58
Tuuka Tieksola (R)	AGE:22	PO:1	OV:57
Ethan Keppen (R)	AGE:22	PO:65	OV:56
Maxim Cajkovic (R)	AGE:22	PO:77	OV:55

Défense #1

Défense #2

Gardien

Adam Fox	AGE:25	PO:79	OV:75
Adam Larsson	AGE:31	PO:52	OV:75
Cam Fowler	AGE:31	PO:61	OV:72
Ryan Lindgren	AGE:25	PO:65	OV:71
Luke Schenn	AGE:34	PO:62	OV:70
Simon Benoit	AGE:25	PO:48	OV:69
Luke Hughes (R)	AGE:20	PO:99	OV:67
Daniil Miromanov (R)	AGE:26	PO:75	OV:67

Nick Cicek (R)	AGE:23	PO:69	OV:67
Urho Vaakanainen	AGE:24	PO:77	OV:66
Dan Renouf	AGE:29	PO:55	OV:65
Maxime Lajoie	AGE:26	PO:53	OV:65
Billy Sweezey	AGE:27	PO:53	OV:64
Jonathan Aspirot	AGE:24	PO:58	OV:63
Tory Dello	AGE:26	PO:74	OV:62

Jake Oettinger	AGE:24	PO:77	OV:88
Charlie Lindgren	AGE:29	PO:54	OV:75
Joe Vrbetic (R)	AGE:21	PO:76	OV:71
Arvid Soderblom (R)	AGE:24	PO:66	OV:70
Zachary Sawchenko	AGE:25	PO:61	OV:70

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
Aatu Jamsen	New York Rangers	2020	194
Adam Engstrom	New York Rangers	2022	79
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
Brayden Yager	New York Rangers	2023	14
Brendan Guhle	New York Rangers	2015	51
Connor Kurth	New York Rangers	2022	172
Conor Geekie	New York Rangers	2022	9
David Goyette	New York Rangers	2022	44
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		NYR EDM		EDM	NYR	NYR	NYR EDM
10	NYR	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

New York Rangers Historique de transactions

[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).
[2023-07-27 15:42:04] - Josh Doan was added to New York Rangers.
[2023-07-27 15:34:54] - Emil Heineman was added to New York Rangers.
[2023-07-27 15:31:39] - Ty Ronning was released by New York Rangers
[2023-07-27 15:30:03] - Kody Clark was released.
[2023-07-27 15:30:03] - New York Rangers paid 0 $ to release Kody Clark.
[2023-07-27 15:29:25] - Jimmy Schuldt was released.
[2023-07-27 15:29:25] - New York Rangers paid 0 $ to release Jimmy Schuldt.
[2023-07-27 15:28:37] - Collin Adams was released.
[2023-07-27 15:28:37] - New York Rangers paid 0 $ to release Collin Adams.
[2023-07-27 15:25:55] - TJ Brodie was released.
[2023-07-27 15:25:55] - New York Rangers paid 0 $ to release TJ Brodie.
[2023-07-27 15:22:33] - Robin Lehner was released.
[2023-07-27 15:22:33] - New York Rangers paid 0 $ to release Robin Lehner.
[2023-07-27 15:08:36] - Garnet Hathaway was released.
[2023-07-27 15:08:36] - New York Rangers paid 0 $ to release Garnet Hathaway.
[2023-07-27 14:54:30] - TRADE : From New York Rangers to St-Louis Blues : Anthony Duclair (71).

[2023-11-27 18:20:14] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[2023-11-26 12:21:40] New York Rangers lines for next game are empty. Current rosters/lines are not erased. But, Hartford Wolf Pack lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2023-11-26 12:21:39] Farm Game #235 - Sam Steel from Hartford Wolf Pack has scored a Hat Trick!
[2023-11-25 15:29:17] New York Rangers lines for next game are empty. Current rosters/lines are not erased.
[2023-11-17 19:53:15] Last 7 Days Farm Star : 1 - Jansen Harkins of Hartford Wolf Pack (4-2-6) / 2 - Graeme Clarke of Binghamton Devils (3-5-8) / 3 - Sam Steel of Hartford Wolf Pack (4-2-6)

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: 18 \| W: 8 \| L: 8 \| OTL: 2 \| P: 18 GF: 47 \| GA: 48 \| PP%: 12.24% \| PK%: 82.14% DG: Alain Desnoyer \| Morale : 35 \| Moyenne d’équipe : 72 Prochains matchs #308 vs Boston Bruins