Canadian Hockey League

WolfPack
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Centre de jeu
	Hurricanes 8-3-0, 16pts	6	FINAL	3	Rangers 1-4-0, 2pts

Team Stats
W1	Streak	L2
6-0-0	Home Record	1-1-0
2-3-0	Away Record	0-3-0
7-2-1	Last 10 Games	1-4-0
4.00	Goals Per Game	2.20
2.00	Goals Against Per Game	4.40
15.52%	Power Play Percentage	14.29%
86.05%	Penalty Kill Percentage	78.57%

Rangers
1-4-0, 2pts

FINAL

Hurricanes
8-3-0, 16pts

Team Stats
L2	Streak	W1
1-1-0	Home Record	6-0-0
0-3-0	Away Record	2-3-0
1-4-0	Last 10 Games	7-2-1
2.20	Goals Per Game	4.00
4.40	Goals Against Per Game	2.00
14.29%	Power Play Percentage	15.52%
78.57%	Penalty Kill Percentage	86.05%

Meneurs d'équipe
	Buts Andrei Kuzmenko 2	Passes Alex Pietrangelo 4

	Points Alex Pietrangelo 5	Plus/Moins Mason Marchment 1

	Victoires Juuse Saros 1	Pourcentage d’arrêts Juuse Saros 0.894

Stats Équipe
Buts pour 11 2.20 GFG	Tirs pour 132 26.40 Avg	Pourcentage en avantage numérique 14.3% 2 GF	Début de zone offensive 36.1%
Buts contre 22 4.40 GAA	Tirs contre 181 36.20 Avg	Pourcentage en désavantage numérique 78.6% 6 GA	Début de la zone défensive 45.4%

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Michel Lirette
	Entraîneur	Rod Brind'Amour
	Division	Metropolitan
	Conférence	Eastern
	Capitaine	Ryan O'Reilly
	Assistant #1	Aaron Ekblad
	Assistant #2	Alex Pietrangelo
Uniformes

Informations de l’aréna
	Nom	Madison Square Garden
	Capacité	25,000
	Assistance	18,543
	Billets de saison	10,000
Information formation
	Équipe Pro	21
	Équipe Mineure	25
	Limite contact	46 / 50
	Espoirs	35
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	85,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	4,458,770$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	96,816,516$
	Compte bancaire projeté	96,816,516$
Historique d'équipe
	Saison actuelle	1-4
	Historique	703-715-131 (0.454%)
	Apparitions séries éliminatoires	5
	Historique séries éliminatoires (W-L)	26-36
	Stanley Cup	0

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Andrei Kuzmenko (R)			X		100.00	44	46	88	93	56	82	98	82	40	75	89	71	97	76	79	60	77	76	0	27	1	575,000$
2	Max Pacioretty		X			100.00	58	60	73	90	74	60	50	84	40	78	90	71	62	92	76	20	69	74	0	35	2	7,200,000$
3	Tyler Seguin	X				100.00	66	51	84	86	66	82	95	72	90	71	73	73	88	84	83	40	61	73	0	31	1	10,000,000$
4	Viktor Arvidsson			X		100.00	48	43	84	91	50	83	96	76	40	75	78	68	62	82	83	45	53	73	0	30	3	4,878,000$
5	Ryan O'Reilly (C)	X				100.00	48	51	84	83	67	84	79	68	91	62	75	79	73	86	85	35	58	71	0	32	1	7,500,000$
6	Nick Paul			X		100.00	73	60	82	77	79	82	98	61	89	55	67	82	40	78	80	55	77	70	0	28	6	3,750,000$
7	Taylor Hall		X			100.00	53	52	82	84	68	81	85	69	40	67	72	66	64	86	84	35	38	69	0	32	2	6,000,000$
8	Jaden Schwartz		X			100.00	58	43	84	87	50	84	92	68	82	62	74	65	40	84	84	40	77	69	0	31	3	7,750,000$
9	Sean Couturier	X				100.00	58	54	80	82	73	60	50	69	91	71	67	88	68	84	72	40	47	69	0	31	4	7,278,000$
10	Mason Marchment		X			100.00	70	61	66	79	74	81	89	64	40	63	64	66	40	78	80	55	46	67	0	28	3	3,000,000$
11	Trevor Lewis	X				100.00	85	50	86	77	64	75	99	55	77	51	59	74	57	94	85	15	38	67	0	36	2	800,000$
12	Cal Clutterbuck			X		100.00	99	51	78	77	67	75	77	55	40	50	60	78	60	94	85	15	30	66	0	36	3	1,000,000$
13	Alex Pietrangelo (A)				X	100.00	61	55	86	86	75	89	93	78	40	88	69	95	40	88	89	30	64	80	0	33	2	8,250,000$
14	Aaron Ekblad (A)				X	100.00	65	56	71	82	77	89	92	71	40	68	74	73	40	76	83	60	61	73	0	27	7	1$
15	Connor Murphy				X	100.00	88	68	73	75	75	82	98	53	40	46	61	87	40	82	82	45	48	73	0	30	1	3,500,000$
16	Olli Maatta				X	100.00	63	52	86	78	69	81	96	59	40	58	59	78	40	80	81	50	72	71	0	29	5	2,500,000$
17	Jalen Chatfield				X	100.00	63	49	81	78	57	73	96	54	40	48	59	77	40	76	75	60	60	68	0	27	3	1,550,000$
18	Niko Mikkola				X	100.00	84	60	76	75	74	79	98	48	40	45	52	72	40	76	78	60	31	68	0	27	2	850,000$
Rayé
1	Dylan Samberg				X	100.00	74	60	82	75	79	74	86	51	40	48	54	81	40	70	72	75	68	69	0	24	4	1,900,000$
Équipe Mineure
1	Oskar Sundqvist	X				100.00	62	56	82	78	77	78	89	62	40	62	62	71	40	80	79	50	65	67	0	29	3	2,000,000$
2	Adam Erne		X			100.00	99	56	83	78	69	77	85	57	40	53	61	77	69	78	78	55	23	66	0	28	4	1,750,000$
3	Carl Grundstrom			X		100.00	99	47	84	80	59	72	82	59	40	50	67	65	40	74	73	65	76	65	0	26	3	1,975,000$
4	Matthew Martin		X			100.00	99	74	74	75	77	73	98	55	40	52	57	67	40	90	82	25	60	65	0	34	3	600,000$
5	Jesper Boqvist		X			100.00	57	43	89	80	51	74	91	57	68	53	62	64	73	72	73	70	57	63	0	25	1	935,000$
6	Julien Gauthier			X		100.00	83	58	88	75	81	69	82	55	40	47	63	58	40	74	72	65	25	62	0	26	4	1,000,000$
7	Zach Sanford		X			100.00	71	54	85	75	72	77	54	53	40	45	60	73	40	80	79	50	50	62	0	29	3	600,000$
8	Colin Blackwell	X				100.00	62	43	88	79	50	74	79	53	40	52	53	73	40	82	78	45	31	61	0	30	2	1,750,000$
9	Logan Brown	X				100.00	57	59	85	75	82	72	64	53	70	51	55	62	99	72	72	70	56	61	0	25	1	1,500,000$
10	Alexander True	X				100.00	85	53	77	75	71	81	71	43	70	44	43	70	40	74	78	65	59	60	0	26	3	575,000$
11	Carson Meyer			X		100.00	84	43	81	76	51	71	53	48	40	46	50	72	40	74	73	65	59	59	0	26	3	600,000$
12	Ross Johnston		X			100.00	90	93	44	75	86	67	54	50	40	50	50	57	40	80	74	50	29	59	0	29	3	575,000$
13	Sasha Chmelevski	X				100.00	65	45	86	82	55	60	50	62	74	45	50	60	40	70	65	75	51	58	0	24	3	575,000$
14	Kieffer Bellows		X			100.00	80	48	86	75	61	71	62	49	40	40	59	59	40	72	72	70	40	58	0	25	3	600,000$
15	Oskar Steen	X				100.00	77	45	79	75	55	73	63	45	70	42	48	67	40	72	73	70	28	57	0	25	3	600,000$
16	Kurtis MacDermid				X	100.00	86	84	65	75	88	64	73	51	40	49	53	61	40	80	72	50	71	65	0	29	3	575,000$
17	Dakota Mermis				X	100.00	87	47	67	75	59	67	62	44	40	47	40	69	40	80	74	50	59	63	0	29	3	700,000$
18	Zach Uens (R)				X	100.00	60	52	71	87	68	55	50	35	40	33	36	55	40	66	61	85	50	56	0	22	3	925,000$
19	Louis Crevier (R)				X	100.00	40	38	85	71	41	66	61	28	40	27	30	54	40	66	66	85	32	51	0	22	3	600,000$
20	Tyler Tullio (R)			X		100.00	58	50	84	93	65	72	62	42	40	37	47	62	40	64	68	90	21	56	0	21	3	925,000$
21	Noel Gunler			X		100.00	47	43	82	76	51	60	50	49	40	46	51	50	40	66	63	85	20	53	0	22	2	925,000$
22	Alexander Pashin (R)			X		100.00	41	42	84	93	40	60	50	34	40	30	37	50	90	64	62	90	20	49	0	21	3	925,000$

	MOYENNE D’ÉQUIPE					100.00	69	54	80	80	66	74	77	57	51	53	59	69	51	78	76	55	50	65

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Juuse Saros	100.00	98	99	99	80	85	85	84	88	89	79	95	78	82	55	57	84	0	28	1	4,000,000$
2	Stuart Skinner	100.00	89	91	98	94	78	82	80	81	81	78	77	72	77	70	73	81	0	25	2	3,250,000$
Rayé
Équipe Mineure
1	Philipp Grubauer	100.00	82	78	77	85	66	66	67	65	67	65	88	86	76	35	54	70	0	32	4	3,000,000$
2	Jakub Skarek	100.00	75	66	69	90	50	50	50	50	50	50	40	70	60	75	45	58	0	24	3	600,000$
3	Felix Sandstrom	100.00	82	54	60	88	50	50	50	50	50	50	40	74	62	65	34	58	0	26	1	850,000$

	MOYENNE D’ÉQUIPE	100.00	85	78	81	87	66	67	66	67	67	64	68	76	71	60	53	70

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rod Brind'Amour	70	98	85	98	82	75	66	CAN	52	1	6,000,000$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Alex Pietrangelo	Rangers	D	5	1	4	5	-1	2	1	8	6	2	6	16.67%	21	129	25.94	1	1	2	2	11	0	23	0	0.00%	0	0.77	0	1	0
2	Andrei Kuzmenko	Rangers	RW	5	2	2	4	-5	0	2	10	20	10	16	10.00%	0	105	21.12	0	1	1	4	12	0	10	0	28.57%	7	0.76	1	0	0
3	Max Pacioretty	Rangers	LW	5	2	1	3	-1	4	11	5	9	4	14	22.22%	0	79	15.89	0	0	0	0	11	0	6	0	25.00%	4	0.76	0	0	0
4	Taylor Hall	Rangers	LW	5	1	1	2	-4	0	6	4	10	3	5	10.00%	2	97	19.40	1	0	1	2	12	0	2	0	44.44%	9	0.41	0	0	0
5	Connor Murphy	Rangers	D	5	0	2	2	0	12	12	6	1	0	7	0.00%	5	104	20.96	0	0	0	0	1	0	18	0	0.00%	0	0.38	0	0	0
6	Nick Paul	Rangers	RW	5	1	1	2	-4	2	6	10	8	1	5	12.50%	0	80	16.11	0	0	0	0	2	1	31	0	31.82%	22	0.50	0	0	0
7	Ryan O'Reilly	Rangers	C	5	1	1	2	-3	4	4	8	19	4	7	5.26%	1	99	19.89	0	0	0	5	10	0	11	0	59.68%	124	0.40	0	0	1
8	Tyler Seguin	Rangers	C	5	1	1	2	-1	2	14	7	9	4	5	11.11%	0	80	16.20	0	0	0	2	11	0	0	0	52.63%	76	0.49	0	0	0
9	Cal Clutterbuck	Rangers	RW	5	1	1	2	1	2	1	0	5	0	1	20.00%	0	33	6.78	0	0	0	0	0	0	0	0	50.00%	2	1.18	0	0	0
10	Trevor Lewis	Rangers	C	5	0	2	2	1	2	4	5	5	0	1	0.00%	1	61	12.37	0	0	0	0	0	0	27	0	46.81%	94	0.65	0	0	0
11	Viktor Arvidsson	Rangers	RW	5	0	2	2	0	0	3	7	8	4	5	0.00%	0	76	15.34	0	1	1	2	11	0	0	0	12.50%	8	0.52	0	0	0
12	Jaden Schwartz	Rangers	LW	5	0	2	2	-4	4	2	3	5	0	7	0.00%	0	61	12.33	0	1	1	0	11	0	0	0	57.14%	7	0.65	0	0	0
13	Olli Maatta	Rangers	D	5	0	1	1	-4	6	4	5	2	2	1	0.00%	5	94	18.84	0	0	0	0	0	1	21	0	0.00%	0	0.21	0	0	0
14	Mason Marchment	Rangers	LW	5	1	0	1	1	0	1	0	4	2	0	25.00%	0	34	6.99	0	0	0	0	1	0	0	1	0.00%	4	0.57	0	0	0
15	Sean Couturier	Rangers	C	5	0	1	1	-3	0	1	6	11	2	6	0.00%	0	58	11.74	0	0	0	1	11	0	0	0	56.00%	75	0.34	0	0	0
16	Aaron Ekblad	Rangers	D	5	0	0	0	-3	6	7	4	5	2	4	0.00%	9	104	20.98	0	0	0	1	11	0	10	0	0.00%	0	0.00	0	0	0
17	Dylan Samberg	Rangers	D	2	0	0	0	-1	0	2	1	2	0	0	0.00%	5	28	14.47	0	0	0	0	0	1	8	0	0.00%	0	0.00	0	0	0
18	Jalen Chatfield	Rangers	D	3	0	0	0	-1	2	3	0	2	0	2	0.00%	2	47	15.78	0	0	0	0	0	0	8	0	0.00%	0	0.00	0	0	0
19	Niko Mikkola	Rangers	D	5	0	0	0	-3	12	17	4	1	0	1	0.00%	2	65	13.16	0	0	0	0	0	0	2	0	0.00%	0	0.00	0	0	0
Statistiques d’équipe totales ou en moyenne				90	11	22	33	-35	60	101	93	132	40	93	8.33%	53	1446	16.07	2	4	6	19	122	3	184	1	50.93%	432	0.46	1	1	1

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	PCT	GAA	MP	GA	SA	ST	BG
1	Juuse Saros	Rangers	5	1	3	0.894	3.72	274	17	160	4	1
2	Stuart Skinner	Rangers	1	0	1	0.762	12.00	25	5	21	1	4
Statistiques d’équipe totales ou en moyenne			6	1	4	0.878	4.40	300	22	181	5	5

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Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2037	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2038	2039	2040	2041	2042	2043	2044	Link
Aaron Ekblad	Rangers	D	27	1996-02-07	No	215 Lbs	6 ft4	Yes	No	Yes	7	Pro Only	1$	1$	0$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	UFA	Lien / Lien NHL
Alex Pietrangelo	Rangers	D	33	1990-01-18	No	215 Lbs	6 ft3	No	No	Yes	2	Pro Only	8,250,000$	8,250,000$	2,750,000$	No	8,250,000$	UFA						Lien / Lien NHL
Andrei Kuzmenko	Rangers	RW	27	1996-02-04	Yes	194 Lbs	5 ft11	No	No	No	1	Pro & Farm	575,000$	575,000$	191,667$	No	UFA							Lien NHL
Cal Clutterbuck	Rangers	RW	36	1987-11-18	No	212 Lbs	6 ft0	Yes	No	No	3	Pro & Farm	1,000,000$	1,000,000$	333,333$	No	1,000,000$	1,000,000$	UFA					Lien / Lien NHL
Connor Murphy	Rangers	D	30	1993-03-26	No	212 Lbs	6 ft4	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	1,166,667$	No	UFA							Lien / Lien NHL
Dylan Samberg	Rangers	D	24	1999-01-24	No	219 Lbs	6 ft4	No	No	No	4	Pro & Farm	1,900,000$	1,900,000$	633,333$	No	1,900,000$	1,900,000$	1,900,000$	RFA				Lien / Lien NHL
Jaden Schwartz	Rangers	LW	31	1992-06-25	No	185 Lbs	5 ft10	Yes	No	Yes	3	Pro Only	7,750,000$	7,750,000$	2,583,333$	No	7,750,000$	7,750,000$	UFA					Lien / Lien NHL
Jalen Chatfield	Rangers	D	27	1996-05-15	No	188 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,550,000$	1,550,000$	516,667$	No	1,550,000$	1,550,000$	UFA					Lien / Lien NHL
Juuse Saros	Rangers	G	28	1995-04-19	No	180 Lbs	5 ft11	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	1,333,333$	No	UFA							Lien / Lien NHL
Mason Marchment	Rangers	LW	28	1995-06-18	No	210 Lbs	6 ft4	No	No	Yes	3	Pro & Farm	3,000,000$	3,000,000$	1,000,000$	No	3,000,000$	3,000,000$	UFA					Lien / Lien NHL
Max Pacioretty	Rangers	LW	35	1988-11-20	No	217 Lbs	6 ft2	No	No	Yes	2	Pro Only	7,200,000$	7,200,000$	2,400,000$	No	7,200,000$	UFA						Lien / Lien NHL
Nick Paul	Rangers	RW	28	1995-03-20	No	223 Lbs	6 ft3	Yes	No	Yes	6	Pro & Farm	3,750,000$	3,750,000$	1,250,000$	No	3,750,000$	3,750,000$	3,750,000$	3,750,000$	3,750,000$	UFA		Lien / Lien NHL
Niko Mikkola	Rangers	D	27	1996-04-27	No	209 Lbs	6 ft4	No	No	No	2	Pro & Farm	850,000$	850,000$	283,333$	No	850,000$	UFA						Lien / Lien NHL
Olli Maatta	Rangers	D	29	1994-08-22	No	207 Lbs	6 ft2	Yes	No	Yes	5	Pro & Farm	2,500,000$	2,500,000$	833,333$	No	2,500,000$	2,500,000$	2,500,000$	2,500,000$	UFA			Lien / Lien NHL
Ryan O'Reilly	Rangers	C	32	1991-02-07	No	207 Lbs	6 ft1	No	No	Yes	1	Pro Only	7,500,000$	7,500,000$	2,500,000$	No	UFA							Lien / Lien NHL
Sean Couturier	Rangers	C	31	1992-12-07	No	211 Lbs	6 ft3	No	No	Yes	4	Pro Only	7,278,000$	7,278,000$	2,426,000$	No	7,278,000$	7,278,000$	7,278,000$	UFA				Lien / Lien NHL
Stuart Skinner	Rangers	G	25	1998-11-01	No	203 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	3,250,000$	3,250,000$	1,083,333$	No	3,250,000$	RFA						Lien / Lien NHL
Taylor Hall	Rangers	LW	32	1991-11-14	No	210 Lbs	6 ft1	No	No	Yes	2	Pro Only	6,000,000$	6,000,000$	2,000,000$	No	6,000,000$	UFA						Lien / Lien NHL
Trevor Lewis	Rangers	C	36	1987-01-08	No	201 Lbs	6 ft1	No	No	No	2	Pro & Farm	800,000$	800,000$	266,667$	No	800,000$	UFA						Lien / Lien NHL
Tyler Seguin	Rangers	C	31	1992-01-31	No	205 Lbs	6 ft1	No	No	Yes	1	Pro Only	10,000,000$	10,000,000$	3,333,333$	No	UFA							Lien / Lien NHL
Viktor Arvidsson	Rangers	RW	30	1993-04-08	No	185 Lbs	5 ft10	No	No	Yes	3	Pro & Farm	4,878,000$	4,878,000$	1,626,000$	No	4,878,000$	4,878,000$	UFA					Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	29.86	205 Lbs	6 ft2	2.76	4,072,905$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
85,531,001$	67,956,000$	41,606,000$	23,428,000$	14,250,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Taylor Hall	Ryan O'Reilly	Andrei Kuzmenko	35	0	2	3
2	Max Pacioretty	Tyler Seguin	Viktor Arvidsson	28	0	2	3
3	Jaden Schwartz	Sean Couturier	Nick Paul	22	0	2	3
4	Mason Marchment	Trevor Lewis	Cal Clutterbuck	15	3	2	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Connor Murphy	Alex Pietrangelo	40	1	2	2
2	Olli Maatta	Aaron Ekblad	30	1	2	2
3	Jalen Chatfield	Niko Mikkola	20	1	2	2
4	Aaron Ekblad	Alex Pietrangelo	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Max Pacioretty	Ryan O'Reilly	Andrei Kuzmenko	60	1	2	2
2	Tyler Seguin	Sean Couturier	Viktor Arvidsson	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Alex Pietrangelo	Taylor Hall	60	1	2	2
2	Aaron Ekblad	Jaden Schwartz	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Trevor Lewis	Nick Paul	60	1	2	2
2	Nick Paul	Andrei Kuzmenko	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Connor Murphy	Alex Pietrangelo	60	1	2	2
2	Olli Maatta	Jalen Chatfield	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Nick Paul	60	1	2	2	Connor Murphy	Alex Pietrangelo	60	1	2	2
2	Sean Couturier	40	1	2	2	Olli Maatta	Jalen Chatfield	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nick Paul	Andrei Kuzmenko	60	1	2	2
2	Tyler Seguin	Taylor Hall	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Connor Murphy	Alex Pietrangelo	60	1	2	2
2	Aaron Ekblad	Jalen Chatfield	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Viktor Arvidsson	Ryan O'Reilly	Andrei Kuzmenko	Connor Murphy	Alex Pietrangelo

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Sean Couturier	Nick Paul	Andrei Kuzmenko	Connor Murphy	Alex Pietrangelo

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Sean Couturier, Taylor Hall, Andrei Kuzmenko	Andrei Kuzmenko, Taylor Hall	Nick Paul

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Alex Pietrangelo, Aaron Ekblad, Connor Murphy	Alex Pietrangelo	Alex Pietrangelo, Aaron Ekblad

Tirs de pénalité
Andrei Kuzmenko, Sean Couturier, Viktor Arvidsson, Tyler Seguin, Taylor Hall

Gardien
#1 : Juuse Saros, #2 : Stuart Skinner

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

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Hurricanes	5	1	4	0	0	0	0	0	11	22	-11	2	1	1	0	0	0	0	0	9	8	1	3	0	3	0	0	0	0	0	2	14	-12	2	0.200	11	22	33	0	0	3	4	4	0	132	39	42	51	0	181	53	60	101	14	2	14.29%	28	6	78.57%	0	88	156	56.41%	94	196	47.96%	38	80	47.50%	100	65	134	39	65	30
	Total	5	1	4	0	0	0	0	0	11	22	-11	2	1	1	0	0	0	0	0	9	8	1	3	0	3	0	0	0	0	0	2	14	-12	2	0.200	11	22	33	0	0	3	4	4	0	132	39	42	51	0	181	53	60	101	14	2	14.29%	28	6	78.57%	0	88	156	56.41%	94	196	47.96%	38	80	47.50%	100	65	134	39	65	30
	_Since Last GM Reset	5	1	4	0	0	0	0	0	11	22	-11	2	1	1	0	0	0	0	0	9	8	1	3	0	3	0	0	0	0	0	2	14	-12	2	0.200	11	22	33	0	0	3	4	4	0	132	39	42	51	0	181	53	60	101	14	2	14.29%	28	6	78.57%	0	88	156	56.41%	94	196	47.96%	38	80	47.50%	100	65	134	39	65	30
	_Vs Conference	5	1	4	0	0	0	0	0	11	22	-11	2	1	1	0	0	0	0	0	9	8	1	3	0	3	0	0	0	0	0	2	14	-12	2	0.200	11	22	33	0	0	3	4	4	0	132	39	42	51	0	181	53	60	101	14	2	14.29%	28	6	78.57%	0	88	156	56.41%	94	196	47.96%	38	80	47.50%	100	65	134	39	65	30
	_Vs Division	5	1	4	0	0	0	0	0	11	22	-11	2	1	1	0	0	0	0	0	9	8	1	3	0	3	0	0	0	0	0	2	14	-12	2	0.200	11	22	33	0	0	3	4	4	0	132	39	42	51	0	181	53	60	101	14	2	14.29%	28	6	78.57%	0	88	156	56.41%	94	196	47.96%	38	80	47.50%	100	65	134	39	65	30

			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
5	2	L2	11	22	33	132	181	53	60	101	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	11	22

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	9	8

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	2	14

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	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
14	2	14.29%	28	6	78.57%	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
39	42	51	0	3	4	4	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
88	156	56.41%	94	196	47.96%	38	80	47.50%

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
100	65	134	39	65	30

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	Lien
1	2	Rangers	1	Hurricanes	8	AL	Sommaire du match
3	10	Rangers	1	Hurricanes	4	AL	Sommaire du match
5	18	Hurricanes	2	Rangers	6	BW	Sommaire du match
7	26	Hurricanes	6	Rangers	3	BL	Sommaire du match
9	34	Rangers	0	Hurricanes	2	AL	Sommaire du match

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Max Pacioretty

AGE:35
SK:		90
EN:		60
DU:		50
PH:		84
PA:		78
SC:		90
DF:		71
Jaden Schwartz

AGE:31
SK:		87
EN:		84
DU:		92
PH:		68
PA:		62
SC:		74
DF:		65
Taylor Hall

AGE:32
SK:		84
EN:		81
DU:		85
PH:		69
PA:		67
SC:		72
DF:		66
Mason Marchment

AGE:28
SK:		79
EN:		81
DU:		89
PH:		64
PA:		63
SC:		64
DF:		66
Adam Erne

AGE:28
SK:		78
EN:		77
DU:		85
PH:		57
PA:		53
SC:		61
DF:		77
Matthew Martin

AGE:34
SK:		75
EN:		73
DU:		98
PH:		55
PA:		52
SC:		57
DF:		67
Jesper Boqvist

AGE:25
SK:		80
EN:		74
DU:		91
PH:		57
PA:		53
SC:		62
DF:		64
Zach Sanford

AGE:29
SK:		75
EN:		77
DU:		54
PH:		53
PA:		45
SC:		60
DF:		73
Ross Johnston

AGE:29
SK:		75
EN:		67
DU:		54
PH:		50
PA:		50
SC:		50
DF:		57
Kieffer Bellows

AGE:25
SK:		75
EN:		71
DU:		62
PH:		49
PA:		40
SC:		59
DF:		59

Tyler Seguin

AGE:31
SK:		86
EN:		82
DU:		95
PH:		72
PA:		71
SC:		73
DF:		73
Ryan O'Reilly

AGE:32
SK:		83
EN:		84
DU:		79
PH:		68
PA:		62
SC:		75
DF:		79
Sean Couturier

AGE:31
SK:		82
EN:		60
DU:		50
PH:		69
PA:		71
SC:		67
DF:		88
Oskar Sundqvist

AGE:29
SK:		78
EN:		78
DU:		89
PH:		62
PA:		62
SC:		62
DF:		71
Trevor Lewis

AGE:36
SK:		77
EN:		75
DU:		99
PH:		55
PA:		51
SC:		59
DF:		74
Logan Brown

AGE:25
SK:		75
EN:		72
DU:		64
PH:		53
PA:		51
SC:		55
DF:		62
Colin Blackwell

AGE:30
SK:		79
EN:		74
DU:		79
PH:		53
PA:		52
SC:		53
DF:		73
Alexander True

AGE:26
SK:		75
EN:		81
DU:		71
PH:		43
PA:		44
SC:		43
DF:		70
Sasha Chmelevski

AGE:24
SK:		82
EN:		60
DU:		50
PH:		62
PA:		45
SC:		50
DF:		60
Oskar Steen

AGE:25
SK:		75
EN:		73
DU:		63
PH:		45
PA:		42
SC:		48
DF:		67

Andrei Kuzmenko (R)

AGE:27
SK:		93
EN:		82
DU:		98
PH:		82
PA:		75
SC:		89
DF:		71
Viktor Arvidsson

AGE:30
SK:		91
EN:		83
DU:		96
PH:		76
PA:		75
SC:		78
DF:		68
Nick Paul

AGE:28
SK:		77
EN:		82
DU:		98
PH:		61
PA:		55
SC:		67
DF:		82
Cal Clutterbuck

AGE:36
SK:		77
EN:		75
DU:		77
PH:		55
PA:		50
SC:		60
DF:		78
Carl Grundstrom

AGE:26
SK:		80
EN:		72
DU:		82
PH:		59
PA:		50
SC:		67
DF:		65
Julien Gauthier

AGE:26
SK:		75
EN:		69
DU:		82
PH:		55
PA:		47
SC:		63
DF:		58
Carson Meyer

AGE:26
SK:		76
EN:		71
DU:		53
PH:		48
PA:		46
SC:		50
DF:		72
Tyler Tullio (R)

AGE:21
SK:		93
EN:		72
DU:		62
PH:		42
PA:		37
SC:		47
DF:		62
Noel Gunler

AGE:22
SK:		76
EN:		60
DU:		50
PH:		49
PA:		46
SC:		51
DF:		50
Alexander Pashin (R)

AGE:21
SK:		93
EN:		60
DU:		50
PH:		34
PA:		30
SC:		37
DF:		50

Défense #1

Défense #2

Gardien

Alex Pietrangelo

AGE:33
SK:		86
EN:		89
DU:		93
PH:		78
PA:		88
SC:		69
DF:		95
Aaron Ekblad

AGE:27
SK:		82
EN:		89
DU:		92
PH:		71
PA:		68
SC:		74
DF:		73
Connor Murphy

AGE:30
SK:		75
EN:		82
DU:		98
PH:		53
PA:		46
SC:		61
DF:		87
Olli Maatta

AGE:29
SK:		78
EN:		81
DU:		96
PH:		59
PA:		58
SC:		59
DF:		78
Dylan Samberg

AGE:24
SK:		75
EN:		74
DU:		86
PH:		51
PA:		48
SC:		54
DF:		81
Jalen Chatfield

AGE:27
SK:		78
EN:		73
DU:		96
PH:		54
PA:		48
SC:		59
DF:		77

Niko Mikkola

AGE:27
SK:		75
EN:		79
DU:		98
PH:		48
PA:		45
SC:		52
DF:		72
Kurtis MacDermid

AGE:29
SK:		75
EN:		64
DU:		73
PH:		51
PA:		49
SC:		53
DF:		61
Dakota Mermis

AGE:29
SK:		75
EN:		67
DU:		62
PH:		44
PA:		47
SC:		40
DF:		69
Zach Uens (R)

AGE:22
SK:		87
EN:		55
DU:		50
PH:		35
PA:		33
SC:		36
DF:		55
Louis Crevier (R)

AGE:22
SK:		71
EN:		66
DU:		61
PH:		28
PA:		27
SC:		30
DF:		54

Juuse Saros

AGE:28
SK:		98
AG:		85
RB:		85
SC:		84
HS:		88
RT:		89
DF:		79
Stuart Skinner

AGE:25
SK:		89
AG:		78
RB:		82
SC:		80
HS:		81
RT:		81
DF:		78
Philipp Grubauer

AGE:32
SK:		82
AG:		66
RB:		66
SC:		67
HS:		65
RT:		67
DF:		65
Jakub Skarek

AGE:24
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Felix Sandstrom

AGE:26
SK:		82
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
Albert Wikman	Rangers	2037	142
Alexander Rykov	Rangers	2037	125
Andrew Strathmann	Rangers	2037	129
Anton Wahlberg	Rangers	2037	59
Aram Minnetian	Rangers	2037	131
Arseny Gritsyuk	Rangers	2033	158
Artem Shlaine	Rangers	2034	142
Artur Akhtyamov	Rangers	2034	134
Axel Bergkvist	Rangers	2034	185
Axel Rindell	Rangers	2034	173
Brett Berard	Rangers	2034	145
Carson Bjarnason	Rangers	2037	66
Conner Roulette	Rangers	2035	125
Cruz Lucius	Rangers	2036	102
Ethan Edwards	Rangers	2034	131
Filip Larsson	Rangers	2033	111
Ivan Zhigalov	Rangers	2036	186
Jack Sparkes	Rangers	2036	194
Kevin Reidler	Rangers	2036	163
Kirill Dolzhenkov	Rangers	2036	132
Lucas Mercuri	Rangers	2034	156
Matthew Mania	Rangers	2037	155
Matthew Seminoff	Rangers	2036	133
Mattias Havelid	Rangers	2036	62
Niko Huuhtanen	Rangers	2035	162
Rory Kerins	Rangers	2034	141
Samu Bau	Rangers	2037	191
Samuel Johannesson	Rangers	2034	162
Theo Wallberg	Rangers	2036	196
Ty Gallagher	Rangers	2035	209
Ty Henricks	Rangers	2037	193
Tyler Peddle	Rangers	2037	160
Valentin Nussbaumer	Rangers	2033	171
Viktor Neuchev	Rangers	2036	91
Vladislav Firstov	Rangers	2033	59

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7

Rangers Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	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	Mike Iggulden	1486	253	409	662	-115	1070	1679	1938	2477	10.21%	894	24828	16.71	54	69	123	310	4	8	12	54	34	20	45.62%	9	0.53	7	40
2	Brandon Bochenski	834	264	301	565	-52	316	665	2065	2214	11.92%	225	15121	18.13	57	92	149	402	8	2	10	54	38	12	52.44%	10	0.75	13	58
3	Brent Burns	398	171	384	555	57	367	589	796	1518	11.26%	567	10198	25.62	119	151	270	975	1	8	9	15	25	11	57.14%	4	1.09	2	3
4	Ryan Kesler	444	233	310	543	102	707	1386	1673	1889	12.33%	171	10519	23.69	73	143	216	495	8	3	11	46	34	12	55.42%	7	1.03	9	50
5	Ryan Johansen	385	127	241	368	50	239	494	1102	1226	10.36%	92	8768	22.77	28	110	138	302	5	7	12	42	11	8	55.62%	3	0.84	10	44

Rangers Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Brian Elliott	373	176	140	31	0.898	3.14	21198	30	16	1108	10882	604	16	5	0.805	149
2	Dwayne Roloson	233	100	113	17	0.906	2.95	13789	14	5	677	7194	2506	7	3	0.759	108
3	Carter Hutton	95	56	29	9	0.909	2.78	5544	2	5	257	2821	0	4	2	0.778	36
4	Petr Mrazek	75	40	26	8	0.902	2.82	4485	23	5	211	2156	0	6	1	0.646	48
5	Juuse Saros	70	40	26	2	0.887	3.34	4007	6	2	223	1982	0	0	0	0.917	12

Rangers Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	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
2017	82	27	40	0	2	3	5	5	226	266	-40	41	17	16	0	0	2	2	4	122	128	-6	41	10	24	0	2	1	3	1	104	138	-34	61	226	365	591	0	1	0	43	94	82	2223	0	619	834	754	2456	825	1060	1637	254	40	15.75%	273	49	82.05%	5	857	1765	48.56%	853	1875	45.49%	631	1309	48.20%	1585	801	1938	873	1629	819
2018	82	30	36	0	1	0	9	6	253	229	24	41	16	17	0	1	0	5	2	129	114	15	41	14	19	0	0	0	4	4	124	115	9	62	253	394	647	1	3	0	65	90	88	2504	0	772	905	790	2646	812	1409	2035	213	39	18.31%	276	50	81.88%	6	952	1955	48.70%	1001	2069	48.38%	690	1291	53.45%	1667	906	1793	777	1537	748
2019	82	27	42	0	2	3	5	3	230	268	-38	41	14	19	0	1	3	2	2	112	126	-14	41	13	23	0	1	0	3	1	118	142	-24	61	230	357	587	1	1	0	51	104	68	2517	0	669	986	830	2489	800	916	1812	204	23	11.27%	216	52	75.93%	2	957	2044	46.82%	947	1955	48.44%	575	1198	48.00%	1673	901	1722	775	1572	780
2020	82	35	33	0	1	5	5	3	242	247	-5	41	16	15	0	1	3	3	3	112	121	-9	41	19	18	0	0	2	2	0	130	126	4	77	242	383	625	1	1	0	61	84	91	2492	0	801	797	873	2635	836	998	1848	238	33	13.87%	246	40	83.74%	4	927	2012	46.07%	958	2074	46.19%	574	1230	46.67%	1668	896	1747	780	1555	768
2021	82	17	46	0	0	4	7	8	191	280	-89	41	10	22	0	0	1	4	4	99	133	-34	41	7	24	0	0	3	3	4	92	147	-55	38	191	320	511	2	0	0	64	61	59	2213	0	761	710	713	2728	832	1066	1858	388	57	14.69%	426	97	77.23%	3	1253	2785	44.99%	1409	3134	44.96%	593	1292	45.90%	1852	1244	2103	630	1050	506
2022	82	15	51	0	3	3	4	6	211	324	-113	41	9	25	0	0	2	1	4	102	160	-58	41	6	26	0	3	1	3	2	109	164	-55	39	211	363	574	2	0	0	77	65	62	2392	0	785	772	797	2841	833	1114	1826	405	63	15.56%	448	97	78.35%	2	1470	2952	49.80%	1589	3246	48.95%	673	1337	50.34%	1862	1248	2094	629	1031	502
2023	82	18	46	0	4	0	5	9	210	277	-67	41	10	24	0	1	0	1	5	92	129	-37	41	8	22	0	3	0	4	4	118	148	-30	44	210	369	579	2	1	0	70	67	64	2343	0	739	764	813	2664	757	870	1729	449	66	14.70%	383	77	79.90%	0	1453	2856	50.88%	1451	3096	46.87%	668	1280	52.19%	1897	1290	2050	625	1045	513
2024	82	22	51	0	1	2	4	2	213	294	-81	41	9	28	0	1	1	1	1	108	160	-52	41	13	23	0	0	1	3	1	105	134	-29	58	213	376	589	1	2	0	76	74	58	2213	0	725	749	727	2671	735	1084	1753	400	76	19.00%	452	105	76.77%	5	1447	2740	52.81%	1574	3201	49.17%	702	1318	53.26%	1860	1259	2059	629	1034	501
2025	82	29	36	0	3	2	8	4	302	312	-10	41	19	15	0	1	1	3	2	149	134	15	41	10	21	0	2	1	5	2	153	178	-25	86	302	518	820	2	1	0	107	100	84	2608	0	840	865	881	2833	847	1254	1908	424	93	21.93%	480	112	76.67%	2	1511	2979	50.72%	1557	3217	48.40%	688	1410	48.79%	1879	1265	2063	637	1049	516
2026	82	34	31	0	5	3	3	6	307	300	7	41	17	17	0	1	2	1	3	148	156	-8	41	17	14	0	4	1	2	3	159	144	15	93	307	545	852	3	1	0	116	96	87	2908	0	972	958	940	2695	787	1138	1927	465	120	25.81%	454	110	75.77%	5	1729	3287	52.60%	1558	3101	50.24%	722	1362	53.01%	1983	1349	1959	625	1036	523
2027	82	41	27	0	1	3	7	3	303	252	51	41	21	11	0	1	2	4	2	163	120	43	41	20	16	0	0	1	3	1	140	132	8	104	303	529	832	2	5	0	100	99	96	2750	0	915	867	932	2407	625	962	1785	468	98	20.94%	416	79	81.01%	5	1698	3144	54.01%	1436	2862	50.17%	658	1285	51.21%	2058	1440	1896	612	1023	514
2030	82	35	29	0	2	0	6	10	265	241	24	41	19	13	0	1	0	4	4	137	113	24	41	16	16	0	1	0	2	6	128	128	0	96	265	460	725	1	5	0	87	83	87	2728	0	919	866	909	2441	702	1076	1819	401	78	19.45%	471	90	80.89%	8	1693	3163	53.53%	1549	2971	52.14%	700	1279	54.73%	2047	1411	1916	611	1040	526
2031	82	45	23	0	2	5	5	2	306	235	71	41	22	12	0	2	2	1	2	149	113	36	41	23	11	0	0	3	4	0	157	122	35	111	306	540	846	3	7	0	122	94	83	2863	0	926	936	978	2497	773	892	1802	417	125	29.98%	386	72	81.35%	3	1802	3237	55.67%	1532	2943	52.06%	726	1331	54.55%	2024	1414	1921	604	1028	523
2032	82	37	28	0	3	5	6	3	249	231	18	41	18	15	0	1	2	3	2	128	118	10	41	19	13	0	2	3	3	1	121	113	8	100	249	434	683	1	5	0	85	80	75	2373	0	770	797	777	2472	763	909	1753	399	80	20.05%	384	61	84.11%	7	1470	2925	50.26%	1408	3071	45.85%	611	1283	47.62%	1981	1363	1970	616	1032	515
2033	82	33	33	0	1	5	9	1	247	252	-5	41	15	15	0	1	3	6	1	129	130	-1	41	18	18	0	0	2	3	0	118	122	-4	92	247	434	681	2	5	0	101	73	63	2389	0	826	811	734	2498	739	1044	1855	429	54	12.59%	407	79	80.59%	3	1555	2866	54.26%	1520	2953	51.47%	685	1314	52.13%	2014	1394	1930	616	1037	518
2034	82	24	47	0	2	1	2	6	248	318	-70	41	13	22	0	1	0	1	4	128	159	-31	41	11	25	0	1	1	1	2	120	159	-39	63	248	444	692	2	1	0	79	88	77	2453	0	821	795	819	2728	742	1131	1967	398	82	20.60%	472	101	78.60%	2	1551	2979	52.06%	1462	2977	49.11%	745	1371	54.34%	1946	1334	1990	614	1030	506
2035	82	31	37	0	2	1	3	8	256	280	-24	41	20	14	0	0	0	3	4	132	130	2	41	11	23	0	2	1	0	4	124	150	-26	81	256	449	705	1	2	0	97	76	78	2636	0	871	856	877	2687	710	1015	1877	391	64	16.37%	442	93	78.96%	6	1611	3019	53.36%	1488	3126	47.60%	669	1329	50.34%	1965	1343	1984	611	1035	514
2036	82	18	53	0	4	5	1	1	246	370	-124	41	10	28	0	1	1	0	1	119	174	-55	41	8	25	0	3	4	1	0	127	196	-69	52	246	432	678	2	2	0	97	71	73	2359	0	758	769	817	2959	894	1190	1949	368	75	20.38%	516	125	75.78%	6	1456	2785	52.28%	1519	3018	50.33%	685	1393	49.17%	1755	1159	2156	627	1030	492
2037	82	46	26	0	4	2	2	2	374	269	105	41	26	12	0	0	1	1	1	202	134	68	41	20	14	0	4	1	1	1	172	135	37	108	374	661	1035	1	2	144	107	117	7	3067	1007	955	1080	40	2540	718	1023	1811	412	120	29.13%	414	81	80.43%	2	1717	3169	54.18%	1555	2908	53.47%	776	1435	54.08%	1958	1338	1948	608	1047	524
Total Saison régulière	1558	564	715	0	43	52	96	88	4879	5245	-366	779	301	340	0	15	26	46	51	2460	2552	-92	779	263	375	0	28	26	50	37	2419	2693	-274	1426	4879	8373	13252	30	45	144	1605	1616	1382	48031	1007	15444	16117	15001	49887	14730	20151	34951	7123	1386	19.46%	7562	1570	79.24%	76	27109	52662	51.48%	26366	53797	49.01%	12771	25047	50.99%	35683	23366	37248	12506	21849	10817
Séries éliminatoires
2026	13	6	7	0	0	0	0	0	39	42	-3	6	2	4	0	0	0	0	0	13	18	-5	7	4	3	0	0	0	0	0	26	24	2	12	39	70	109	0	1	0	13	13	9	425	0	134	118	149	480	149	176	301	56	10	17.86%	78	18	76.92%	2	258	495	52.12%	269	547	49.18%	108	209	51.67%	304	203	338	103	171	84
2027	16	8	8	0	0	0	0	0	52	47	5	8	4	4	0	0	0	0	0	23	23	0	8	4	4	0	0	0	0	0	29	24	5	16	52	95	147	0	0	0	20	21	9	536	0	153	169	180	464	147	178	361	98	19	19.39%	78	14	82.05%	1	341	626	54.47%	286	556	51.44%	129	240	53.75%	409	283	400	126	205	101
2031	12	6	6	0	0	0	0	0	42	45	-3	6	3	3	0	0	0	0	0	18	22	-4	6	3	3	0	0	0	0	0	24	23	1	12	42	75	117	0	0	0	15	15	10	353	0	99	126	113	406	103	132	262	62	17	27.42%	62	10	83.87%	0	231	421	54.87%	233	452	51.55%	108	217	49.77%	293	203	304	93	154	76
2032	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	3	7	-4	0	6	10	16	1	0	0	1	3	2	103	0	25	40	38	149	45	36	106	16	1	6.25%	18	2	88.89%	0	61	132	46.21%	78	171	45.61%	22	56	39.29%	85	58	107	29	46	21
2033	12	5	7	0	0	0	0	0	39	43	-4	7	4	3	0	0	0	0	0	28	21	7	5	1	4	0	0	0	0	0	11	22	-11	10	39	69	108	0	1	0	17	9	13	396	0	134	132	130	398	109	155	268	55	14	25.45%	70	13	81.43%	3	232	447	51.90%	252	468	53.85%	99	188	52.66%	270	183	303	90	146	70
2037	5	1	4	0	0	0	0	0	11	22	-11	2	1	1	0	0	0	0	0	9	8	1	3	0	3	0	0	0	0	0	2	14	-12	2	11	22	33	0	0	3	4	4	0	132	39	42	51	0	181	53	60	101	14	2	14.29%	28	6	78.57%	0	88	156	56.41%	94	196	47.96%	38	80	47.50%	100	65	134	39	65	30
Total Séries éliminatoires	62	26	36	0	0	0	0	0	189	214	-25	31	14	17	0	0	0	0	0	94	100	-6	31	12	19	0	0	0	0	0	95	114	-19	52	189	341	530	1	2	3	70	65	43	1945	39	587	636	610	2078	606	737	1399	301	63	20.93%	334	63	81.14%	6	1211	2277	53.18%	1212	2390	50.71%	504	990	50.91%	1464	997	1588	484	790	385

Rangers Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	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
1	Brent Burns	45	18	42	60	7	52	78	88	132	13.64%	77	1165	25.89	11	17	28	85	1	1	2	1	3	0	0.00%	0	1.03
2	Ryan Johansen	45	17	27	44	-3	23	44	122	149	11.41%	11	1024	22.76	6	10	16	28	1	0	1	3	4	0	56.18%	1	0.86
3	Ryan Kesler	41	13	30	43	2	54	148	169	187	6.95%	25	1048	25.57	7	10	17	66	0	1	1	5	2	0	54.37%	0	0.82
4	Justin Williams	45	7	14	21	-8	10	22	51	84	8.33%	1	815	18.12	4	4	8	26	0	1	1	0	1	0	36.84%	0	0.51
5	Nick Holden	45	6	15	21	-3	57	125	40	78	7.69%	45	954	21.20	2	4	6	36	0	0	0	2	0	1	0.00%	0	0.44

Rangers Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A
1	Brian Elliott	32	17	9	4	0.905	2.95	1911	4	1	94	992	1
2	Frederik Andersen	12	5	7	0	0.892	3.59	718	0	1	43	398	0
3	Mikko Koskinen	7	2	4	1	0.897	3.43	420	0	0	24	234	0
4	Cam Ward	3	1	2	0	0.821	4.74	152	0	0	12	67	0
5	Juuse Saros	5	1	3	0	0.894	3.72	274	0	0	17	160	0