HARTFORD Wolf Pack
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	NEW YORK Rangers 1-3-0, 2pts	2	FINAL	6	BOSTON Bruins 3-1-0, 6pts

Team Stats
W1	Séquence	OTL1
0-2-0	Fiche domicile	1-1-0
1-1-0	Fiche visiteur	2-0-0
1-3-0	Derniers 10 matchs	3-0-1
3.00	Buts par match	5.00
5.00	Buts contre par match	3.00
15.79%	Pourcentage en avantage numérique	20.00%
80.00%	Pourcentage en désavantage numérique	84.21%

NEW YORK Rangers
1-3-0, 2pts

FINAL

BOSTON Bruins
3-1-0, 6pts

Team Stats
W1	Séquence	OTL1
0-2-0	Fiche domicile	1-1-0
1-1-0	Fiche visiteur	2-0-0
1-3-0	Derniers 10 matchs	3-0-1
3.00	Buts par match	5.00
5.00	Buts contre par match	3.00
15.79%	Pourcentage en avantage numérique	20.00%
80.00%	Pourcentage en désavantage numérique	84.21%

BOSTON Bruins
3-1-0, 6pts

Jour 9

NEW YORK Rangers
1-3-0, 2pts

Statistiques d’équipe
OTL1	Séquence	W1
1-1-0	Fiche domicile	0-2-0
2-0-0	Fiche visiteur	1-1-0
3-0-1	10 derniers matchs	1-3-0
5.00	Buts par match	3.00
3.00	Buts contre par match	3.00
20.00%	Pourcentage en avantage numérique	15.79%
84.21%	Pourcentage en désavantage numérique	80.00%

NEW YORK Rangers
1-3-0, 2pts

Jour 11

BOSTON Bruins
3-1-0, 6pts

Statistiques d’équipe
W1	Séquence	OTL1
0-2-0	Fiche domicile	1-1-0
1-1-0	Fiche visiteur	2-0-0
1-3-0	10 derniers matchs	3-0-1
3.00	Buts par match	5.00
5.00	Buts contre par match	5.00
15.79%	Pourcentage en avantage numérique	20.00%
80.00%	Pourcentage en désavantage numérique	84.21%

BOSTON Bruins
3-1-0, 6pts

Jour 13

NEW YORK Rangers
1-3-0, 2pts

Statistiques d’équipe
OTL1	Séquence	W1
1-1-0	Fiche domicile	0-2-0
2-0-0	Fiche visiteur	1-1-0
3-0-1	10 derniers matchs	1-3-0
5.00	Buts par match	3.00
3.00	Buts contre par match	3.00
20.00%	Pourcentage en avantage numérique	15.79%
84.21%	Pourcentage en désavantage numérique	80.00%

Meneurs d'équipe
	Buts Jared Spurgeon 3	Passes Casey Cizikas 3

	Points Jared Spurgeon 4	Plus/Moins Casey Cizikas 2

	Victoires Linus Ullmark 1	Pourcentage d’arrêts Eric Comrie 0.889

Statistiques d’équipe
Buts pour 12 3.00 GFG	Tirs pour 156 39.00 Avg	Pourcentage en avantage numérique 15.8% 3 GF	Début de zone offensive 42.9%
Buts contre 20 5.00 GAA	Tirs contre 156 39.00 Avg	Pourcentage en désavantage numérique 80.0%% 4 GA	Début de la zone défensive 40.0%

Informations de l'équipe
	Directeur général	Olivier Terreault
	Entraîneur	Sheldon Keefe
	Division	Metropolitaine
	Conférence	EST
	Capitaine	Brayden Schenn
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Madison Square Garden
	Capacité	18,000
	Assistance	16,914
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	29
	Limite contact	51 / 80
	Espoirs	37
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	83,500,000$
	Valeur du plafond salarial spécial	-10,680,000$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	2,876,625$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	41,677,861$
	Compte bancaire projeté	41,677,861$
Historique d'équipe
	Saison actuelle	1-3
	Historique	140-87-23 (0.560%)
	Apparitions en séries éliminatoires	3
	Historique en séries éliminatoires (W-L)	3-11
	Coupe Stanley	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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP	Âge	Contrat	Salaire
1	Chris Kreider		X			100.00	77	50	80	82	87	88	91	90	59	77	92	79	87	86	82	0	50	78		0	32	4	6,500,000$
2	Jamie Benn	X	X			100.00	78	65	71	83	81	87	94	89	91	83	84	79	85	89	91	0	50	78	N	0	34	1	9,120,000$
3	Timo Meier		X	X		100.00	80	54	71	83	87	88	87	93	50	80	91	69	89	77	67	0	50	77		0	27	1	6,300,000$
4	Mats Zuccarello		X	X		100.00	71	50	80	83	69	88	93	89	52	85	79	71	84	88	78	0	50	76		0	36	1	6,000,000$
5	Brayden Schenn (C)	X	X			100.00	79	62	70	77	79	87	93	86	72	83	79	72	81	89	85	0	50	75		0	32	4	6,500,000$
6	Andrew Copp	X	X	X		100.00	68	54	83	78	81	88	89	84	76	80	72	78	77	82	72	0	50	73		0	29	1	4,004,000$
7	Kasperi Kapanen			X		100.00	77	47	86	78	80	84	86	82	50	76	74	71	78	79	69	0	50	73		0	27	1	3,520,000$
8	Conor Garland		X	X		100.00	72	54	75	86	70	86	84	87	49	79	76	70	83	69	59	0	50	73		0	27	1	4,752,000$
9	Vladislav Namestnikov	X	X	X		100.00	78	58	73	80	73	83	90	79	58	75	70	74	76	84	74	0	50	72		0	31	2	2,750,000$
10	Casey Cizikas	X				100.00	83	54	70	77	75	84	92	76	82	72	67	80	74	87	77	0	50	72		0	32	5	2,500,000$
11	Ryan Lomberg		X			100.00	83	68	62	78	73	82	85	79	51	68	71	72	76	74	64	0	50	70		0	29	1	797,500$
12	Kirill Marchenko			X		100.00	68	44	80	75	79	80	70	76	51	63	75	66	75	53	50	0	50	67		0	23	2	925,000$
13	Jared Spurgeon				X	100.00	67	47	91	94	67	90	92	85	40	78	76	93	85	88	90	0	50	78		0	34	4	7,575,000$
14	Justin Faulk				X	100.00	75	50	74	86	82	94	92	89	40	81	77	89	84	87	77	0	50	77		0	31	4	6,500,000$
15	Cam Fowler				X	100.00	65	47	91	76	83	92	93	86	40	81	74	80	79	88	82	0	50	75	N	0	32	3	6,240,000$
16	Tyler Myers				X	100.00	73	62	66	72	90	91	94	77	40	75	62	86	70	89	79	0	50	72	N	0	33	3	6,000,000$
17	Jacob Middleton				X	100.00	74	78	65	76	87	87	84	76	40	71	65	92	72	69	59	0	50	70		0	27	1	750,000$
18	Dante Fabbro				X	100.00	74	51	72	79	78	86	84	76	40	71	63	80	73	69	59	0	50	69		0	25	3	2,750,000$
Rayé
1	Mason Shaw	X	X			100.00	73	78	59	77	71	77	72	72	52	69	65	69	72	56	51	0	53	65		0	25	2	825,000$
Équipe Mineure
1	Riley Nash	X				100.00	60	47	73	71	65	73	76	67	67	65	61	66	66	75	67	0	81	64		0	34	4	852,500$
2	Vinni Lettieri	X		X		100.00	61	43	71	71	65	71	69	67	59	64	63	63	67	62	54	0	81	63		0	28	1	825,000$
3	Andrew Poturalski	X				100.00	60	45	70	72	60	67	67	66	62	67	58	68	66	59	52	0	81	62		0	29	2	839,000$
4	Nick Swaney			X		100.00	59	44	72	71	57	65	64	64	43	59	60	61	65	53	50	0	81	60		0	26	3	852,500$
5	Johan Sodergran		X	X		100.00	75	35	93	54	84	80	85	52	54	53	53	56	53	63	62	0	81	59		0	24	1	870,850$
6	Mikhail Maltsev	X	X			100.00	65	46	69	67	65	64	62	62	52	58	57	62	62	53	50	0	80	59		0	25	1	890,100$
7	Riley Damiani	X				100.00	53	44	68	69	57	63	63	63	58	62	57	51	63	51	50	0	81	58		0	23	2	884,000$
8	Chase Pearson	X				100.00	59	44	66	59	66	65	64	59	55	55	53	51	57	53	50	0	82	56		0	26	1	750,000$
9	Curtis Hall	X				100.00	63	45	71	60	67	62	60	56	50	51	51	54	56	51	50	0	81	56		0	23	2	1,018,000$
10	Collin Adams		X			100.00	60	44	69	64	63	62	60	56	40	51	52	55	57	53	50	0	81	56		0	25	3	852,500$
11	Lucas Elvenes			X		100.00	52	47	59	60	53	57	54	54	50	56	52	52	54	50	50	0	81	54		0	24	1	750,000$
12	Dominik Bokk		X	X		100.00	53	48	53	57	54	54	52	52	40	51	51	51	53	50	50	0	81	53		0	23	2	950,000$
13	Anttoni Honka (R)				X	100.00	56	40	70	69	60	62	63	64	40	63	57	65	63	50	50	0	80	60		0	23	3	836,667$
14	Michael Vukojevic				X	100.00	66	50	67	63	71	61	59	58	40	53	52	62	58	50	50	0	81	57		0	22	2	936,000$
15	Santeri Hatakka				X	100.00	59	44	67	69	61	59	56	56	40	52	51	61	59	50	50	0	81	57		0	22	3	935,000$
16	Tarmo Reunanen				X	100.00	53	48	57	61	54	58	54	53	40	53	51	58	54	52	50	0	82	54		0	25	1	750,000$
17	Morgan Klimchuk		X			100.00	62	37	89	61	72	81	86	59	55	58	60	57	61	72	66	0	21	62		0	28	0	0$
18	Pavel Shen	X				100.00	65	39	86	56	74	65	70	58	61	57	55	59	56	63	62	0	21	59		0	24	0	0$
19	Adam Musil	X				100.00	59	70	70	59	82	51	58	57	69	54	53	54	53	50	50	0	21	56		0	26	0	0$
20	Kyle Olson			X		100.00	56	51	63	65	60	65	64	58	40	52	53	54	59	52	50	0	21	56		0	24	0	0$
21	Zachary Gallant	X				100.00	52	54	52	54	55	57	54	52	47	52	51	50	52	51	50	0	21	52		0	24	0	0$
22	Gavin Bayreuther				X	100.00	68	57	75	74	79	84	79	72	40	71	62	73	69	69	59	0	21	67		0	29	2	825,000$
23	Jakub Galvas				X	100.00	54	43	71	72	54	64	64	63	40	62	53	67	63	52	50	0	71	59		0	24	1	750,000$
24	Miles Gendron				X	100.00	68	39	74	55	77	71	76	54	30	52	56	53	46	69	65	0	21	58		0	27	0	0$
25	Cole Hults				X	100.00	51	47	53	58	54	58	54	54	40	52	52	51	54	52	50	0	21	53		0	25	0	0$
26	Simon Bourque				X	100.00	53	42	72	50	69	47	63	51	30	37	35	60	50	50	50	0	21	50		0	26	0	0$

	MOYENNE D’ÉQUIPE					100.00	74	56	75	80	79	86	88	83	54	76	74	77	79	79	72	0	50	73

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Linus Ullmark	100.00	93	90	91	90	92	93	92	93	93	92	85	79	72	0	50	75	0	30	4	5,500,000$
2	Joonas Korpisalo	100.00	87	87	87	81	87	84	80	82	83	87	83	79	72	0	50	71	0	29	1	1,430,000$
Rayé
1	Eric Comrie	100.00	84	80	79	76	80	79	78	78	79	81	79	77	70	0	50	69	0	28	3	1,980,000$
Équipe Mineure
1	Filip Larsson	100.00	61	71	69	79	60	59	61	60	59	61	60	65	69	0	86	58	0	25	1	920,400$
2	Dylan Ferguson	94.61	70	58	54	64	64	65	68	66	66	63	52	52	50	0	44	60	0	25	1	806,700$
3	Tyler Parsons	100.00	62	73	75	74	61	60	62	61	60	62	61	67	71	0	23	58	0	26	0	0$

	MOYENNE D’ÉQUIPE	100.00	88	86	86	82	86	85	83	84	85	87	82	78	71	0	50	72

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Sheldon Keefe	82	89	91	85	62	60	1	CAN	42	2	1,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	FO%	FOT	P/20
1	Jared Spurgeon	NEW YORK Rangers	D	4	3	1	4	-4	0	4	5	15	3	4	20.00%	10	124	31.14	2	0	2	9	17	0	1	1	0	17	0	0%	0	0.64
2	Casey Cizikas	NEW YORK Rangers	C	4	1	3	4	2	0	1	6	5	0	3	20.00%	1	31	7.93	0	0	0	0	0	0	1	1	0	4	0	68.75%	32	2.52
3	Chris Kreider	NEW YORK Rangers	LW	4	0	3	3	-1	0	5	6	20	5	10	0%	0	119	29.91	0	1	1	4	16	0	0	0	1	19	0	20.00%	10	0.50
4	Mats Zuccarello	NEW YORK Rangers	LW/RW	4	0	3	3	-1	2	6	6	15	5	8	0%	0	83	20.79	0	1	1	1	9	0	0	0	0	0	0	0%	6	0.72
5	Justin Faulk	NEW YORK Rangers	D	4	0	3	3	-5	10	19	9	9	6	5	0%	3	118	29.71	0	1	1	6	17	0	0	0	0	11	0	0%	0	0.50
6	Jamie Benn	NEW YORK Rangers	C/LW	4	2	0	2	-1	4	15	18	25	2	17	8.00%	1	117	29.43	0	0	0	8	16	0	0	0	0	18	0	49.17%	181	0.34
7	Brayden Schenn	NEW YORK Rangers	C/LW	4	1	1	2	-5	0	8	19	7	2	10	14.29%	1	95	23.84	0	1	1	2	15	0	0	0	0	8	0	51.16%	129	0.42
8	Ryan Lomberg	NEW YORK Rangers	LW	4	1	1	2	1	0	2	0	2	1	6	50.00%	1	27	6.77	0	0	0	0	0	0	0	0	0	0	0	0%	2	1.48
9	Timo Meier	NEW YORK Rangers	LW/RW	4	1	1	2	-5	4	11	4	19	2	11	5.26%	0	100	25.12	0	0	0	8	17	0	0	0	0	3	0	33.33%	9	0.40
10	Conor Garland	NEW YORK Rangers	LW/RW	4	0	2	2	-5	0	8	7	11	4	9	0%	0	79	19.88	0	1	1	2	9	0	0	0	0	0	0	33.33%	6	0.50
11	Vladislav Namestnikov	NEW YORK Rangers	C/LW/RW	4	0	1	1	1	0	2	1	3	1	3	0%	0	31	7.94	0	0	0	0	0	0	0	0	0	4	0	50.00%	2	0.63
12	Andrew Copp	NEW YORK Rangers	C/LW/RW	4	1	0	1	-2	4	4	5	7	3	11	14.29%	1	59	14.81	0	0	0	0	5	1	0	1	1	4	0	54.55%	66	0.34
13	Tyler Myers	NEW YORK Rangers	D	4	1	0	1	-2	4	19	4	5	1	3	20.00%	7	106	26.57	1	0	1	3	14	0	0	0	0	13	1	0%	0	0.19
14	Cam Fowler	NEW YORK Rangers	D	4	0	1	1	-1	4	2	7	3	0	9	0%	4	99	24.81	0	0	0	3	14	0	0	0	0	8	0	0%	0	0.20
15	Jacob Middleton	NEW YORK Rangers	D	4	1	0	1	0	6	7	8	3	0	1	33.33%	5	74	18.73	0	0	0	0	0	0	0	0	0	11	0	0%	0	0.27
16	Dante Fabbro	NEW YORK Rangers	D	4	0	1	1	-2	2	7	4	3	0	3	0%	5	65	16.31	0	0	0	0	0	0	0	0	0	0	0	0%	0	0.31
17	Kasperi Kapanen	NEW YORK Rangers	RW	4	0	0	0	-3	0	2	3	3	2	4	0%	0	54	13.63	0	0	0	2	5	0	0	0	0	0	0	66.67%	3	0
18	Kirill Marchenko	NEW YORK Rangers	RW	4	0	0	0	-3	0	3	3	1	0	0	0%	0	49	12.34	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0
Statistiques d’équipe totales ou en moyenne				72	12	21	33	-36	40	125	115	156	37	117	7.69%	39	1438	19.98	3	5	8	48	161	1	2	3	2	126	1	50.00%	448	0.46

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	PCT	GAA	MP	GA	SA	PS %	ST	BG
1	Linus Ullmark	NEW YORK Rangers	3	1	2	0.878	3.71	194	12	98	0	3	0
2	Eric Comrie	NEW YORK Rangers	2	0	0	0.889	4.11	73	5	45	0	0	2
3	Joonas Korpisalo	NEW YORK Rangers	1	0	1	0.769	6.67	27	3	13	0	1	2
Statistiques d’équipe totales ou en moyenne			6	1	3	0.872	4.08	294	20	156		4	4

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	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire 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
Andrew Copp	NEW YORK Rangers	C/LW/RW	29	1994-07-08	No	199 Lbs	6 ft1	No	No	N/A		No	No	1	False	False	Pro & Farm	4,004,000$	1,716,000$	4,004,000$	1,716,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Brayden Schenn	NEW YORK Rangers	C/LW	32	1991-08-22	No	199 Lbs	6 ft1	No	No	N/A		No	No	4	False	False	Pro & Farm	6,500,000$	2,785,714$	6,500,000$	2,785,714$	No	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Cam Fowler	NEW YORK Rangers	D	32	1991-12-05	No	215 Lbs	6 ft2	Yes	No	N/A		No	No	3	False	False	Pro & Farm	6,240,000$	2,674,286$	6,240,000$	2,674,286$	No	6,240,000$	6,240,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-	Lien NHL
Casey Cizikas	NEW YORK Rangers	C	32	1991-02-27	No	190 Lbs	5 ft11	No	No	Trade	2024-01-14	No	No	5	False	False	Pro & Farm	2,500,000$	1,071,429$	2,500,000$	1,071,429$	No	2,500,000$	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Chris Kreider	NEW YORK Rangers	LW	32	1991-04-30	No	230 Lbs	6 ft3	No	No	N/A		No	No	4	False	False	Pro & Farm	6,500,000$	2,785,714$	6,500,000$	2,785,714$	No	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Conor Garland	NEW YORK Rangers	LW/RW	27	1996-03-11	No	165 Lbs	5 ft10	No	No	N/A		No	No	1	False	False	Pro & Farm	4,752,000$	2,036,571$	4,752,000$	2,036,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Dante Fabbro	NEW YORK Rangers	D	25	1998-06-20	No	189 Lbs	6 ft0	No	No	N/A		No	No	3	False	False	Pro & Farm	2,750,000$	1,178,571$	2,750,000$	1,178,571$	No	2,750,000$	2,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Eric Comrie	NEW YORK Rangers	G	28	1995-07-06	No	183 Lbs	6 ft1	No	No	N/A		No	No	3	False	False	Pro & Farm	1,980,000$	848,571$	1,980,000$	848,571$	No	1,980,000$	1,980,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Jacob Middleton	NEW YORK Rangers	D	27	1996-01-02	No	219 Lbs	6 ft3	No	No	N/A		No	No	1	False	False	Pro & Farm	750,000$	321,429$	750,000$	321,429$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Jamie Benn	NEW YORK Rangers	C/LW	34	1989-07-18	No	205 Lbs	6 ft2	Yes	No	N/A		No	No	1	False	False	Pro & Farm	9,120,000$	3,908,571$	9,120,000$	3,908,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Jared Spurgeon	NEW YORK Rangers	D	34	1989-11-29	No	166 Lbs	5 ft9	No	No	N/A		No	No	4	False	False	Pro & Farm	7,575,000$	3,246,429$	7,575,000$	3,246,429$	No	7,575,000$	7,575,000$	7,575,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Joonas Korpisalo	NEW YORK Rangers	G	29	1994-04-28	No	193 Lbs	6 ft3	No	No	Trade	2024-03-24	No	No	1	False	False	Pro & Farm	1,430,000$	612,857$	1,430,000$	612,857$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Justin Faulk	NEW YORK Rangers	D	31	1992-03-20	No	214 Lbs	6 ft0	No	No	N/A		No	No	4	False	False	Pro & Farm	6,500,000$	2,785,714$	6,500,000$	2,785,714$	No	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Kasperi Kapanen	NEW YORK Rangers	RW	27	1996-07-23	No	194 Lbs	6 ft1	No	No	N/A		No	No	1	False	False	Pro & Farm	3,520,000$	1,508,571$	3,520,000$	1,508,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Kirill Marchenko	NEW YORK Rangers	RW	23	2000-07-21	No	197 Lbs	6 ft3	No	No	N/A		No	No	2	False	False	Pro & Farm	925,000$	396,429$	925,000$	396,429$	No	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Linus Ullmark	NEW YORK Rangers	G	30	1993-07-31	No	212 Lbs	6 ft5	No	No	N/A		No	No	4	False	False	Pro & Farm	5,500,000$	2,357,143$	5,500,000$	2,357,143$	No	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Mason Shaw	NEW YORK Rangers	C/LW	25	1998-11-03	No	184 Lbs	5 ft10	No	No	N/A		No	No	2	False	False	Pro & Farm	825,000$	353,571$	825,000$	353,571$	No	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Mats Zuccarello	NEW YORK Rangers	LW/RW	36	1987-09-01	No	181 Lbs	5 ft8	No	No	N/A		No	No	1	False	False	Pro & Farm	6,000,000$	2,571,429$	6,000,000$	2,571,429$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Ryan Lomberg	NEW YORK Rangers	LW	29	1994-12-09	No	187 Lbs	5 ft9	No	No	N/A		No	No	1	False	False	Pro & Farm	797,500$	341,786$	797,500$	341,786$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Timo Meier	NEW YORK Rangers	LW/RW	27	1996-10-08	No	220 Lbs	6 ft1	No	No	N/A		No	No	1	False	False	Pro & Farm	6,300,000$	2,700,000$	6,300,000$	2,700,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Tyler Myers	NEW YORK Rangers	D	33	1990-02-01	No	229 Lbs	6 ft8	Yes	No	Trade	2024-01-14	No	No	3	False	False	Pro & Farm	6,000,000$	2,571,429$	6,000,000$	2,571,429$	No	6,000,000$	6,000,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-	Lien NHL
Vladislav Namestnikov	NEW YORK Rangers	C/LW/RW	31	1992-11-22	No	179 Lbs	6 ft0	No	No	N/A		No	No	2	False	False	Pro & Farm	2,750,000$	1,178,571$	2,750,000$	1,178,571$	No	2,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	29.68	198 Lbs	6 ft1	2.36	4,237,205$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
93,218,500$	56,545,000$	52,045,000$	35,075,000$	2,500,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Chris Kreider	Jamie Benn	Timo Meier	35	0	4	1
2	Mats Zuccarello	Brayden Schenn	Conor Garland	30	0	5	0
3	Kasperi Kapanen	Andrew Copp	Kirill Marchenko	20	1	4	0
4	Ryan Lomberg	Casey Cizikas	Vladislav Namestnikov	15	2	3	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jared Spurgeon	Justin Faulk	40	0	4	1
2	Cam Fowler	Tyler Myers	33	2	3	0
3	Jacob Middleton	Dante Fabbro	26	2	3	0
4	Jared Spurgeon	Justin Faulk	1	1	4	0

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Chris Kreider	Jamie Benn	Timo Meier	70	0	1	4
2	Mats Zuccarello	Brayden Schenn	Conor Garland	30	1	0	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jared Spurgeon	Justin Faulk	60	0	0	5
2	Cam Fowler	Tyler Myers	40	1	0	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jamie Benn	Chris Kreider	60	2	2	1
2	Casey Cizikas	Andrew Copp	40	2	2	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jared Spurgeon	Jacob Middleton	60	1	4	0
2	Justin Faulk	Tyler Myers	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Casey Cizikas	60	0	5	0	Jared Spurgeon	Jacob Middleton	60	0	5	0
2	Andrew Copp	40	0	5	0	Tyler Myers	Justin Faulk	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jamie Benn	Chris Kreider	60	1	2	2
2	Brayden Schenn	Timo Meier	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jared Spurgeon	Justin Faulk	60	1	2	2
2	Cam Fowler	Tyler Myers	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Chris Kreider	Jamie Benn	Timo Meier	Jared Spurgeon	Tyler Myers

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Casey Cizikas	Andrew Copp	Brayden Schenn	Jared Spurgeon	Jacob Middleton

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Brayden Schenn, Andrew Copp, Conor Garland	Brayden Schenn, Andrew Copp	Brayden Schenn

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Tyler Myers, Jacob Middleton, Dante Fabbro	Tyler Myers	Tyler Myers, Jacob Middleton

Tirs de pénalité
Jamie Benn, Chris Kreider, Timo Meier, Mats Zuccarello, Brayden Schenn

Gardien
#1 : Linus Ullmark, #2 : Joonas Korpisalo

Lignes d’attaque personnalisées en prolongation
Brayden Schenn, Jamie Benn, Chris Kreider, Andrew Copp, Timo Meier, Mats Zuccarello, Mats Zuccarello, Kasperi Kapanen, Conor Garland, Casey Cizikas, Vladislav Namestnikov

Lignes de défense personnalisées en prolongation
Jared Spurgeon, Justin Faulk, Tyler Myers, Cam Fowler,

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	BOSTON Bruins	4	1	3	0	0	0	0	0	12	20	-8	2	0	2	0	0	0	0	0	5	10	-5	2	1	1	0	0	0	0	0	7	10	-3	2	0.250	12	21	33	0	0	4	6	1	1	156	36	39	44	37	156	39	40	125	19	3	15.79%	20	4	80.00%	1	86	192	44.79%	100	179	55.87%	38	77	49.35%	114	79	117	35	62	31
	Total	4	1	3	0	0	0	0	0	12	20	-8	2	0	2	0	0	0	0	0	5	10	-5	2	1	1	0	0	0	0	0	7	10	-3	2	0.250	12	21	33	0	0	4	6	1	1	156	36	39	44	37	156	39	40	125	19	3	15.79%	20	4	80.00%	1	86	192	44.79%	100	179	55.87%	38	77	49.35%	114	79	117	35	62	31
	_Since Last GM Reset	4	1	3	0	0	0	0	0	12	20	-8	2	0	2	0	0	0	0	0	5	10	-5	2	1	1	0	0	0	0	0	7	10	-3	2	0.250	12	21	33	0	0	4	6	1	1	156	36	39	44	37	156	39	40	125	19	3	15.79%	20	4	80.00%	1	86	192	44.79%	100	179	55.87%	38	77	49.35%	114	79	117	35	62	31
	_Vs Conference	4	1	3	0	0	0	0	0	12	20	-8	2	0	2	0	0	0	0	0	5	10	-5	2	1	1	0	0	0	0	0	7	10	-3	2	0.250	12	21	33	0	0	4	6	1	1	156	36	39	44	37	156	39	40	125	19	3	15.79%	20	4	80.00%	1	86	192	44.79%	100	179	55.87%	38	77	49.35%	114	79	117	35	62	31

			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
4	2	W1	12	21	33	156	156	39	40	125	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	12	20

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	10

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	7	10

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	3	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
19	3	15.79%	20	4	80.00%	1

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
36	39	44	37	4	6	1	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
86	192	44.79%	100	179	55.87%	38	77	49.35%

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
114	79	117	35	62	31

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	3	BOSTON Bruins	5	NEW YORK Rangers	3	L		Sommaire du match
3	11	BOSTON Bruins	5	NEW YORK Rangers	2	L		Sommaire du match
5	19	NEW YORK Rangers	2	BOSTON Bruins	6	L		Sommaire du match
7	27	NEW YORK Rangers	5	BOSTON Bruins	4	W	X	Sommaire du match
9	35	BOSTON Bruins	-	NEW YORK Rangers	-
11	43	NEW YORK Rangers	-	BOSTON Bruins	-
13	51	BOSTON Bruins	-	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	20	200
Assistance	10,852	9,135	4,000	8,000	1,840
Attendance PCT	90.43%	91.35%	100.00%	100.00%	92.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
39	16914 - 93.96%	1,438,313$	2,876,625$	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$	93,218,500$	84,573,500$	0$	-10,680,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	6	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	41,677,861$	41,677,861$

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

Chris Kreider	AGE:32	PO:0	OV:78
Jamie Benn	AGE:34	PO:0	OV:78
Timo Meier	AGE:27	PO:0	OV:77
Mats Zuccarello	AGE:36	PO:0	OV:76
Brayden Schenn	AGE:32	PO:0	OV:75
Andrew Copp	AGE:29	PO:0	OV:73
Conor Garland	AGE:27	PO:0	OV:73
Vladislav Namestnikov	AGE:31	PO:0	OV:72
Ryan Lomberg	AGE:29	PO:0	OV:70
Mason Shaw	AGE:25	PO:0	OV:65
Morgan Klimchuk	AGE:28	PO:0	OV:62
Johan Sodergran	AGE:24	PO:0	OV:59
Mikhail Maltsev	AGE:25	PO:0	OV:59
Collin Adams	AGE:25	PO:0	OV:56
Dominik Bokk	AGE:23	PO:0	OV:53

Jamie Benn	AGE:34	PO:0	OV:78
Brayden Schenn	AGE:32	PO:0	OV:75
Andrew Copp	AGE:29	PO:0	OV:73
Vladislav Namestnikov	AGE:31	PO:0	OV:72
Casey Cizikas	AGE:32	PO:0	OV:72
Mason Shaw	AGE:25	PO:0	OV:65
Riley Nash	AGE:34	PO:0	OV:64
Vinni Lettieri	AGE:28	PO:0	OV:63
Andrew Poturalski	AGE:29	PO:0	OV:62
Mikhail Maltsev	AGE:25	PO:0	OV:59
Pavel Shen	AGE:24	PO:0	OV:59
Riley Damiani	AGE:23	PO:0	OV:58
Adam Musil	AGE:26	PO:0	OV:56
Chase Pearson	AGE:26	PO:0	OV:56
Curtis Hall	AGE:23	PO:0	OV:56
Zachary Gallant	AGE:24	PO:0	OV:52

Timo Meier	AGE:27	PO:0	OV:77
Mats Zuccarello	AGE:36	PO:0	OV:76
Andrew Copp	AGE:29	PO:0	OV:73
Kasperi Kapanen	AGE:27	PO:0	OV:73
Conor Garland	AGE:27	PO:0	OV:73
Vladislav Namestnikov	AGE:31	PO:0	OV:72
Kirill Marchenko	AGE:23	PO:0	OV:67
Vinni Lettieri	AGE:28	PO:0	OV:63
Nick Swaney	AGE:26	PO:0	OV:60
Johan Sodergran	AGE:24	PO:0	OV:59
Kyle Olson	AGE:24	PO:0	OV:56
Lucas Elvenes	AGE:24	PO:0	OV:54
Dominik Bokk	AGE:23	PO:0	OV:53

Défense #1

Défense #2

Gardien

Jared Spurgeon	AGE:34	PO:0	OV:78
Justin Faulk	AGE:31	PO:0	OV:77
Cam Fowler	AGE:32	PO:0	OV:75
Tyler Myers	AGE:33	PO:0	OV:72
Jacob Middleton	AGE:27	PO:0	OV:70
Dante Fabbro	AGE:25	PO:0	OV:69
Gavin Bayreuther	AGE:29	PO:0	OV:67
Anttoni Honka (R)	AGE:23	PO:0	OV:60

Jakub Galvas	AGE:24	PO:0	OV:59
Miles Gendron	AGE:27	PO:0	OV:58
Michael Vukojevic	AGE:22	PO:0	OV:57
Santeri Hatakka	AGE:22	PO:0	OV:57
Tarmo Reunanen	AGE:25	PO:0	OV:54
Cole Hults	AGE:25	PO:0	OV:53
Simon Bourque	AGE:26	PO:0	OV:50

Linus Ullmark	AGE:30	PO:0	OV:75
Joonas Korpisalo	AGE:29	PO:0	OV:71
Eric Comrie	AGE:28	PO:0	OV:69
Dylan Ferguson	AGE:25	PO:0	OV:60
Tyler Parsons	AGE:26	PO:0	OV:58
Filip Larsson	AGE:25	PO:0	OV:58

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
Adam Edstrom	NEW YORK Rangers	12	155
Aleksi Malinen	NEW YORK Rangers	14	173
Alex Campbell	NEW YORK Rangers	12	69
Alexander Khovanov	NEW YORK Rangers	11	70
Blake Murray	NEW YORK Rangers	12	173
Calle Sjalin	NEW YORK Rangers	10	162
Eetu Liukas	NEW YORK Rangers	14	166
Eetu Pakkila	NEW YORK Rangers	11	163
Eric Florchuk	NEW YORK Rangers	11	177
Erik Walli-Walterholm	NEW YORK Rangers	10	176
Ethan Phillips	NEW YORK Rangers	12	105
Francesco Arcuri	NEW YORK Rangers	14	183
Hardy Haman-Aktell	NEW YORK Rangers	9	119
Hudson Malinoski	NEW YORK Rangers	16	180
Ivan Zhigalov	NEW YORK Rangers	15	183
Jakob Stenqvist	NEW YORK Rangers	9	128
Jakub Vondras	NEW YORK Rangers	15	180
Jonathan Myrenberg	NEW YORK Rangers	14	141
Juha Jatkola	NEW YORK Rangers	16	163
Kenny Connors	NEW YORK Rangers	15	111
Koehn Ziemmer	NEW YORK Rangers	16	54
Kyle Kukkonen	NEW YORK Rangers	14	171
Leevi Aaltonen	NEW YORK Rangers	12	119
Lenni Hameenaho	NEW YORK Rangers	16	53
Luca Pinelli	NEW YORK Rangers	16	84
Lucas Forsell	NEW YORK Rangers	14	179
Luke Loheit	NEW YORK Rangers	11	179
Marshall Warren	NEW YORK Rangers	12	112
Maxim Mayorov	NEW YORK Rangers	15	151
Sam Harris	NEW YORK Rangers	16	165
Sean Tschigerl	NEW YORK Rangers	14	82
Sergei Ivanov	NEW YORK Rangers	15	147
Tomas Mazura	NEW YORK Rangers	12	159
Tuukka Tieksola	NEW YORK Rangers	12	109
Ty Young	NEW YORK Rangers	15	148
Yegor Serdyuk	NEW YORK Rangers	12	81
Zakhar Bardakov	NEW YORK Rangers	14	189

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6
17		NYR	NYR			NYR
18	NYR	NYR	NYR	NYR	NYR	NYR
19	NYR	NYR	NYR	NYR	NYR	NYR
20	NYR	NYR	NYR	NYR	NYR	NYR
21	NYR	NYR	NYR	NYR	NYR	NYR
Choix au repêchage conditionnel

La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.

NEW YORK Rangers Historique de transactions

[2024-03-24 19:15:56] - TRADE : From NEW YORK Rangers to VANCOUVER Canucks : Adam Werner (55).
[2024-03-24 19:15:04] - TRADE : From VANCOUVER Canucks to NEW YORK Rangers : Joonas Korpisalo (71).
[2024-03-24 19:15:04] - TRADE : From NEW YORK Rangers to VANCOUVER Canucks : Y:17-RND:4-DAL, Y:17-RND:4-NYR, Y:17-RND:5-NYR.
[2024-02-11 18:50:39] - Ryan Ellis was released.
[2024-01-21 15:26:53] - Riley Nash signed with NEW YORK Rangers for $852,500 for 4 year(s).
[2024-01-21 15:26:53] - Riley Nash was added to NEW YORK Rangers.
[2024-01-14 23:05:55] - TRADE : From DALLAS Stars to NEW YORK Rangers : Casey Cizikas (72), Tyler Myers (72).
[2024-01-14 23:05:55] - TRADE : From NEW YORK Rangers to DALLAS Stars : Viktor Arvidsson (75), Paul Cotter (66), Stanislav Svozil (P), Oliver Kapanen (P), Ethan Del Mastro (P).
[2023-11-27 21:30:36] - NEW YORK Rangers drafts Hudson Malinoski as the #180 overall pick in the Entry Draft of year 16.
[2023-11-27 21:18:06] - NEW YORK Rangers drafts Sam Harris as the #165 overall pick in the Entry Draft of year 16.
[2023-11-27 21:17:14] - NEW YORK Rangers drafts Juha Jatkola as the #163 overall pick in the Entry Draft of year 16.
[2023-11-19 21:44:24] - NEW YORK Rangers drafts Luca Pinelli as the #84 overall pick in the Entry Draft of year 16.
[2023-11-19 21:01:55] - NEW YORK Rangers drafts Koehn Ziemmer as the #54 overall pick in the Entry Draft of year 16.
[2023-11-19 21:01:21] - NEW YORK Rangers drafts Lenni Hameenaho as the #53 overall pick in the Entry Draft of year 16.
[2023-11-19 17:59:11] - TRADE : From NEW YORK Rangers to PHILADELPHIA Flyers : Y:16-RND:4-NYR, Y:16-RND:5-NYR.
[2023-11-19 17:59:11] - TRADE : From PHILADELPHIA Flyers to NEW YORK Rangers : Eric Comrie (69).
[2023-10-30 22:34:47] - TRADE : From NEW YORK Rangers to BUFFALO Sabres : Alex Tuch (76).
[2023-10-30 22:34:47] - TRADE : From BUFFALO Sabres to NEW YORK Rangers : Timo Meier (77), Dante Fabbro (69).
[2023-10-30 22:32:19] - Kirill Marchenko has been deleted from NEW YORK Rangers.
[2023-10-30 22:32:04] - Kirill Marchenko was added to NEW YORK Rangers.
[2023-10-30 22:31:11] - TRADE : From CAROLINA Hurricanes to NEW YORK Rangers : Kirill Marchenko (P), Y:16-RND:2-CAR.
[2023-10-30 22:31:11] - TRADE : From NEW YORK Rangers to CAROLINA Hurricanes : Alexandar Georgiev (75).
[2023-10-30 22:25:42] - Markus Nutivaara was released.
[2023-10-30 22:25:42] - Markus Nutivaara retired from NEW YORK Rangers
[2023-10-30 22:16:27] - Sebastian Walfridsson has been deleted from NEW YORK Rangers.
[2023-10-30 22:16:22] - Konstantin Volkov has been deleted from NEW YORK Rangers.
[2023-10-30 22:16:18] - Joren Van Pottelberghe has been deleted from NEW YORK Rangers.
[2023-10-30 22:16:13] - Jack Sadek has been deleted from NEW YORK Rangers.
[2023-10-30 22:16:09] - Giovanni Vallati has been deleted from NEW YORK Rangers.
[2023-10-30 22:16:05] - Filip Helt has been deleted from NEW YORK Rangers.
[2023-10-30 22:16:01] - Dmitri Zavgorodny has been deleted from NEW YORK Rangers.
[2023-10-30 22:15:56] - Cole Fraser has been deleted from NEW YORK Rangers.
[2023-10-30 22:15:52] - Allan McShane has been deleted from NEW YORK Rangers.
[2023-10-30 22:15:43] - Anttoni Honka was added to NEW YORK Rangers.

[2024-05-08 22:47:43] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-05-08 22:47:43] Game 25 - Dylan Ferguson from HARTFORD Wolf Pack is injured (Sore Right Knee) and is out for 6 days.
[2024-05-08 22:46:46] Successfully loaded NEW YORK Rangers lines done with Web Base Client from IP:134.65.180.238 .
[2024-05-08 22:43:54] Successfully loaded NEW YORK Rangers lines done with Web Base Client from IP:134.65.180.238 .
[2024-05-05 22:42:18] Jacob Middleton from NEW YORK Rangers is back from Sprained Left Knee Injury.
[2024-05-05 22:42:18] Dylan Ferguson from HARTFORD Wolf Pack is back from Right Foot Injury.
[2024-05-05 22:42:18] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-05-05 22:42:17] Game 19 - Jacob Middleton from NEW YORK Rangers is injured (Sprained Left Knee) and is out for 4 days.
[2024-05-05 22:42:17] Game 17 - Dylan Ferguson from HARTFORD Wolf Pack is injured (Right Foot) and is out for 2 days.
[2024-05-05 22:42:05] Successfully loaded NEW YORK Rangers lines done with Web Base Client from IP:204.48.93.147 .
[2024-05-05 22:39:04] Successfully loaded NEW YORK Rangers lines done with Web Base Client from IP:204.48.93.147 .
[2024-05-01 23:04:21] Jakub Galvas from HARTFORD Wolf Pack is back from Strained Left Elbow Injury.
[2024-05-01 23:04:21] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-05-01 23:04:11] Successfully loaded NEW YORK Rangers lines done with Web Base Client from IP:216.113.117.226 .
[2024-05-01 23:04:02] Successfully loaded NEW YORK Rangers lines done with Web Base Client from IP:216.113.117.226 .
[2024-04-29 14:02:48] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased. But, NEW YORK Rangers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-29 14:02:48] Game 1 - Jakub Galvas from HARTFORD Wolf Pack is injured (Strained Left Elbow) and is out for 1 week.
[2024-04-29 14:02:37] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database from IP:198.16.160.96 .
[2024-04-29 13:58:45] Successfully loaded NEW YORK Rangers lines done with Web Base Client and SQLite Database from IP:198.16.160.96 .
[2024-04-22 11:11:51] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:51] Farm Game #1687 - Vinni Lettieri from HARTFORD Wolf Pack has scored a Hat Trick!
[2024-04-22 11:11:51] Farm Game #1687 - Mikhail Maltsev from HARTFORD Wolf Pack has scored a Hat Trick!
[2024-04-22 11:11:45] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:44] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:42] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:40] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:39] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:37] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:36] Last 30 Days Farm Star : 1 - Oskar Back of ABBOTSFORD Canucks (9-17-26) / 2 - Anttoni Honka of HARTFORD Wolf Pack (6-17-23) / 3 - Spencer Smallman of ABBOTSFORD Canucks (8-15-23)
[2024-04-22 11:11:33] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:30] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:29] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:27] Last 7 Days Farm Star : 1 - Ondrej Kase of CHICAGO Wolves (4-5-9) / 2 - Anttoni Honka of HARTFORD Wolf Pack (2-8-10) / 3 - Jack McBain of CHICAGO Wolves (3-6-9)
[2024-04-22 11:11:26] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:25] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:25] Farm Game #1516 - Riley Nash from HARTFORD Wolf Pack has scored a Hat Trick!
[2024-04-22 11:11:24] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:21] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:20] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:19] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:17] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:13] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:10] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:09] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:07] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 11:11:03] HARTFORD Wolf Pack lines for next game are empty. Current rosters/lines are not erased.

Dylan Ferguson est dehors pour 0 jours à cause de Sore Right Knee Injury.

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
1	Chris Kreider	246	97	107	204	32	158	468	424	886	10.95%	56	5617	22.84	24	31	55	208	2	0	2	19	16	3	41.66%	3	0.73	4	18
2	Brayden Schenn	240	67	113	180	29	195	503	591	593	11.30%	33	4887	20.37	13	44	57	140	1	0	1	10	12	2	52.18%	1	0.74	2	9
3	Justin Faulk	228	44	125	169	14	312	675	364	439	10.02%	304	5265	23.09	22	31	53	272	0	1	1	9	8	2	0%	0	0.64	0	1
4	Andrew Copp	246	62	82	144	8	84	248	551	551	11.25%	71	4030	16.38	13	24	37	87	0	1	1	7	17	3	51.67%	1	0.71	1	2
5	Cam Fowler	245	29	114	143	19	84	154	293	341	8.50%	269	5321	21.72	15	33	48	173	0	1	1	5	3	2	0%	0	0.54	0	0

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	A	EG	PS %	PSA
1	Linus Ullmark	182	107	56	14	0.903	2.71	10666	18	12	481	4982	6	5	0.767	60
2	Alexandar Georgiev	72	33	30	5	0.897	2.93	4142	6	7	202	1964	2	1	0.818	11
3	Eric Comrie	3	0	1	0	0.914	2.54	71	0	0	3	35	0	0	0	0
4	Joonas Korpisalo	3	0	0	0	0.957	0.83	72	0	0	1	23	0	0	0	0

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
Saison régulière
14	82	36	31	0	5	2	4	4	232	214	18	41	22	12	0	3	2	1	1	119	95	24	41	14	19	0	2	0	3	3	113	119	-6	96	232	425	657	3	11	82	70	71	10	2573	813	873	857	57	2326	696	612	1835	325	61	18.77%	266	40	84.96%	1	1541	3008	51.23%	1376	2764	49.78%	606	1214	49.92%	2024	1418	1918	601	1032	517
15	82	35	33	0	4	5	4	1	244	242	2	41	18	19	0	2	1	0	1	128	135	-7	41	17	14	0	2	4	4	0	116	107	9	92	244	443	687	0	2	85	77	74	11	2421	849	760	784	45	2386	673	784	1734	247	47	19.03%	307	61	80.13%	3	1447	2864	50.52%	1381	2784	49.60%	681	1313	51.87%	1991	1380	1926	593	1043	521
16	82	46	23	0	4	2	2	5	304	246	58	41	25	9	0	2	1	2	2	154	114	40	41	21	14	0	2	1	0	3	150	132	18	111	304	550	854	3	5	114	89	95	8	2617	871	844	872	57	2275	675	857	1856	376	80	21.28%	375	77	79.47%	1	1625	2998	54.20%	1459	2714	53.76%	711	1331	53.42%	2041	1428	1900	601	1021	517
Total Saison régulière	246	117	87	0	13	9	10	10	780	702	78	123	65	40	0	7	4	3	4	401	344	57	123	52	47	0	6	5	7	6	379	358	21	299	780	1418	2198	6	18	281	236	240	29	7611	2533	2477	2513	159	6987	2044	2253	5425	948	188	19.83%	948	178	81.22%	5	4613	8870	52.01%	4216	8262	51.03%	1998	3858	51.79%	6057	4226	5744	1796	3098	1555
Séries éliminatoires
14	5	1	4	0	0	0	0	0	11	22	-11	2	0	2	0	0	0	0	0	3	7	-4	3	1	2	0	0	0	0	0	8	15	-7	2	11	19	30	0	0	6	3	2	0	145	48	48	45	4	168	57	27	100	19	3	15.79%	10	3	70.00%	0	104	187	55.61%	97	187	51.87%	38	82	46.34%	119	83	120	37	63	31
15	5	1	4	0	0	0	0	0	13	19	-6	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	9	12	-3	2	13	22	35	0	0	4	5	3	1	165	57	44	61	3	139	31	61	116	19	3	15.79%	23	7	69.57%	0	95	188	50.53%	87	164	53.05%	38	79	48.10%	120	82	124	36	62	30
16	4	1	3	0	0	0	0	0	12	20	-8	2	0	2	0	0	0	0	0	5	10	-5	2	1	1	0	0	0	0	0	7	10	-3	2	12	21	33	0	0	4	6	1	1	156	36	39	44	37	156	39	40	125	19	3	15.79%	20	4	80.00%	1	86	192	44.79%	100	179	55.87%	38	77	49.35%	114	79	117	35	62	31
Total Séries éliminatoires	14	3	11	0	0	0	0	0	36	61	-25	6	0	6	0	0	0	0	0	12	24	-12	8	3	5	0	0	0	0	0	24	37	-13	6	36	62	98	0	0	14	14	6	2	466	141	131	150	44	463	127	128	341	57	9	15.79%	53	14	73.58%	1	285	567	50.26%	284	530	53.58%	114	238	47.90%	354	245	362	109	189	93

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	PKA	PKP	GW	GT	FO%	P/20
1	Mats Zuccarello	14	4	6	10	-1	6	6	15	39	10.26%	1	268	19.15	1	2	3	6	0	0	0	0	31.25%	0.75
2	Jared Spurgeon	9	5	3	8	-10	0	12	17	25	20.00%	11	249	27.72	3	1	4	13	1	1	1	0	0%	0.64
3	Brayden Schenn	14	3	5	8	-13	0	19	40	33	9.09%	1	303	21.69	1	2	3	8	0	0	0	0	49.63%	0.53
4	Justin Faulk	14	1	6	7	-11	18	45	27	24	4.17%	16	329	23.54	1	2	3	17	0	0	0	0	0%	0.42
5	Conor Garland	14	3	4	7	-2	0	12	16	25	12.00%	1	230	16.45	1	1	2	3	0	0	0	1	43.75%	0.61

NEW YORK Rangers Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	GA	SA	A
1	Linus Ullmark	9	2	5	1	0.877	3.80	521	33	268	1
2	Alexandar Georgiev	5	1	3	1	0.854	4.24	283	20	137	0
3	Joonas Korpisalo	1	0	1	0	0.769	6.67	27	3	13	0
4	Eric Comrie	2	0	0	0	0.889	4.11	73	5	45	0

	NEW YORK Rangers
	GP: 4 \| W: 1 \| L: 3 GF: 12 \| GA: 20 \| PP%: 15.79% \| PK%: 80.00% DG: Olivier Terreault \| Morale : 50 \| Moyenne d’équipe : 73 Prochains matchs #35 vs BOSTON Bruins