Canadian Hockey League

Vikings
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Meneurs d'équipe

Stats Équipe

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Karel Lefebvre
	Entraîneur	Peter Laviolette
	Division	Metropolitan
	Conférence	Eastern
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Budweiser Arena
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	25
	Équipe Mineure	19
	Limite contact	44 / 50
	Espoirs	51
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	90,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	25
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	-51,711,671$
	Compte bancaire projeté	-51,711,671$
Historique d'équipe
	Saison actuelle	0-0
	Historique	851-717-140 (0.498%)
	Apparitions séries éliminatoires	10
	Historique séries éliminatoires (W-L)	19-45
	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	Cole Caufield			X		100.00	59	38	87	94	41	85	99	80	40	73	87	72	82	70	78	75	38	74	0	24	4	7,800,000$
2	Nick Foligno		X			100.00	99	61	78	81	66	81	96	63	83	61	66	81	40	98	90	5	46	72	0	38	3	5,000,000$
3	Connor McMichael	X				100.00	51	46	78	89	51	82	99	74	82	71	76	72	40	70	76	75	38	71	0	24	3	3,500,000$
4	Reilly Smith			X		100.00	54	46	84	84	56	80	97	66	40	68	63	82	66	90	85	25	38	70	0	34	2	5,000,000$
5	Vladimir Tarasenko			X		100.00	58	54	89	80	73	79	98	62	40	63	61	63	71	90	85	25	39	67	0	34	1	8,500,000$
6	John Leonard		X			100.00	62	46	84	82	54	81	71	60	40	48	70	70	60	76	79	60	44	64	0	27	2	800,000$
7	Austin Watson		X			100.00	99	77	64	75	88	68	52	54	40	40	69	64	40	88	78	30	47	63	0	33	1	1,000,000$
8	Cal O'Reilly	X				100.00	44	50	89	79	53	77	67	55	70	66	43	70	40	99	88	0	26	62	0	39	3	575,000$
9	Konsta Helenius (R)	X				100.00	59	47	81	89	54	74	64	47	70	46	48	59	69	60	67	99	26	58	0	19	3	925,000$
10	Rem Pitlick	X				100.00	52	44	83	79	60	60	50	55	40	70	39	53	40	78	69	55	30	57	0	28	3	575,000$
11	Nick Abruzzese		X			100.00	52	46	87	78	49	80	70	50	40	52	47	50	65	74	77	65	19	57	0	26	1	825,000$
12	Mikhail Abramov		X			100.00	44	41	79	77	47	60	50	50	40	51	49	57	40	70	65	75	19	55	0	24	1	800,000$
13	Rasmus Dahlin				X	100.00	72	52	75	92	69	90	93	88	40	97	79	86	73	72	81	70	38	80	0	25	1	7,000,000$
14	Cody Ceci				X	100.00	61	54	84	77	72	85	99	58	40	59	56	87	40	86	86	35	39	73	0	32	2	3,250,000$
15	Nicolas Hague				X	100.00	68	78	78	75	96	78	89	54	40	48	59	69	40	76	77	60	36	69	0	27	1	3,250,000$
16	Erik Gudbranson				X	100.00	78	59	83	75	82	79	54	55	40	61	50	73	40	88	84	30	34	68	0	33	4	7,000,000$
17	Brandt Clarke				X	100.00	47	50	78	81	65	77	96	64	40	69	58	74	40	66	72	85	38	68	0	22	2	925,000$
Rayé
1	Leon Draisaitl	X				100.00	48	53	80	98	70	91	92	99	89	99	99	80	73	82	87	45	23	85	0	30	2	1$
2	Jack Hughes	X				100.00	43	41	84	99	47	89	85	91	73	97	86	81	57	70	80	75	19	80	0	24	3	10,000,000$
3	Dmitry Zlodeev	X				100.00	53	54	88	75	51	60	50	27	70	20	34	55	40	68	64	80	17	47	0	23	1	750,000$
4	Colton Parayko				X	100.00	74	61	88	81	87	89	87	73	40	66	81	90	40	86	88	35	21	78	0	32	2	6,250,000$
5	Robert Hagg				X	100.00	99	53	75	75	70	61	56	48	40	52	45	55	40	82	72	45	24	62	0	30	3	575,000$
Équipe Mineure
1	Nikita Alexandrov	X				100.00	70	44	82	85	55	60	50	67	70	68	66	64	65	72	66	70	40	64	0	25	1	1,100,000$
2	Logan Brown	X				100.00	57	59	82	75	86	60	50	61	70	65	57	61	90	76	68	60	35	62	0	27	3	575,000$
3	Marc Gatcomb (R)	X				100.00	99	54	84	76	63	71	70	54	40	42	67	66	40	74	73	65	38	62	0	26	3	575,000$
4	Isak Rosen			X		100.00	47	43	87	83	51	70	60	62	40	56	68	64	40	66	68	85	38	61	0	22	1	925,000$
5	Egor Sokolov			X		100.00	88	79	86	75	76	81	71	50	40	45	55	50	40	72	77	70	46	59	0	25	1	1,150,000$
6	Justin Sourdif		X			100.00	53	47	63	82	47	60	50	57	40	54	61	64	40	68	64	80	38	58	0	23	2	800,000$
7	Cross Hanas		X			100.00	46	42	81	75	58	67	57	37	40	31	43	58	99	68	68	80	33	52	0	23	1	925,000$
8	Tristen Robins		X			100.00	56	49	81	75	52	65	55	43	70	43	42	50	40	70	68	75	38	52	0	24	1	925,000$
9	Aleksandr Kisakov		X			100.00	39	38	78	75	42	60	50	38	40	26	49	60	40	68	64	80	30	50	0	23	1	925,000$
10	Justin Gill (R)		X			100.00	66	52	78	85	61	60	50	33	40	34	32	50	40	66	63	85	38	50	0	22	1	575,000$
11	Ethan Del Mastro				X	100.00	79	55	85	75	74	80	60	57	40	54	60	73	40	66	73	85	33	67	0	22	2	925,000$
12	Grant Hutton				X	100.00	63	54	84	75	72	72	52	51	40	53	50	70	40	82	77	45	39	64	0	30	3	575,000$
13	Josiah Didier				X	100.00	78	60	72	75	80	62	57	31	40	28	34	70	40	86	74	35	38	61	0	32	3	575,000$
14	Hunter Brzustewicz (R)				X	100.00	64	47	86	87	59	74	69	45	40	52	39	51	40	64	69	90	38	60	0	21	3	925,000$
15	Kevin Connauton				X	100.00	84	52	62	75	65	60	55	40	40	36	43	55	40	92	76	20	38	59	0	35	2	575,000$
16	Andrew Perrott				X	100.00	74	82	46	75	65	55	50	35	40	33	36	69	40	70	63	75	39	58	0	24	3	575,000$
17	Brad Hunt				X	100.00	48	40	85	76	43	55	50	46	40	50	42	51	40	96	76	10	40	55	0	37	2	575,000$

	MOYENNE D’ÉQUIPE					100.00	64	53	80	80	63	72	68	56	49	55	57	66	50	77	75	58	34	63

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Jake Allen	100.00	85	68	68	89	86	82	85	84	84	83	94	92	87	20	48	82	0	35	5	6,100,000$
2	Troy Grosenick	100.00	78	50	60	84	60	58	54	55	54	55	95	94	76	15	19	63	0	36	2	575,000$
Rayé
1	James Reimer	100.00	86	60	60	90	80	80	79	78	79	78	89	96	88	10	51	79	0	37	2	5,000,000$
Équipe Mineure
1	Alex Lyon	100.00	88	67	64	87	77	76	75	79	78	77	99	88	82	30	55	77	0	33	5	3,000,000$
2	Alex Nedeljkovic	100.00	89	76	79	87	74	71	72	76	76	75	84	80	76	50	58	75	0	29	1	1,850,000$

	MOYENNE D’ÉQUIPE	100.00	85	64	66	87	75	73	73	74	74	74	92	90	82	25	46	75

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Laviolette	95	81	88	81	96	87	48	USA	61	4	2,000,000$

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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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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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	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	2044	Link
Austin Watson	Islanders	LW	33	1992-01-13	No	238 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	71,429$	No	UFA					Lien / Lien NHL
Brandt Clarke	Islanders	D	22	2003-02-09	No	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	925,000$	66,071$	No	925,000$	RFA				Lien / Lien NHL
Cal O'Reilly	Islanders	C	39	1986-09-30	No	182 Lbs	6 ft0	No	No	No	3	Pro & Farm	575,000$	575,000$	41,071$	No	575,000$	575,000$	UFA			Lien / Lien NHL
Cody Ceci	Islanders	D	32	1993-12-21	No	210 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	3,250,000$	3,250,000$	232,143$	No	3,250,000$	UFA				Lien / Lien NHL
Cole Caufield	Islanders	RW	24	2001-01-02	No	175 Lbs	5 ft8	No	No	Yes	4	Pro Only	7,800,000$	7,800,000$	557,143$	No	7,800,000$	7,800,000$	7,800,000$	RFA		Lien / Lien NHL
Colton Parayko	Islanders	D	32	1993-05-12	No	228 Lbs	6 ft6	No	No	Yes	2	Pro Only	6,250,000$	6,250,000$	446,429$	No	6,250,000$	UFA				Lien / Lien NHL
Connor McMichael	Islanders	C	24	2001-01-15	No	180 Lbs	6 ft0	No	No	Yes	3	Pro & Farm	3,500,000$	3,500,000$	250,000$	No	3,500,000$	3,500,000$	RFA			Lien / Lien NHL
Dmitry Zlodeev	Islanders	C	23	2002-02-15	No	183 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	750,000$	53,571$	No	RFA					Lien / Lien NHL
Erik Gudbranson	Islanders	D	33	1992-01-07	No	222 Lbs	6 ft5	Yes	No	Yes	4	Pro Only	7,000,000$	7,000,000$	500,000$	No	7,000,000$	7,000,000$	7,000,000$	UFA		Lien / Lien NHL
Jack Hughes	Islanders	C	24	2001-05-14	No	175 Lbs	5 ft11	No	No	Yes	3	Pro Only	10,000,000$	10,000,000$	714,286$	No	10,000,000$	10,000,000$	RFA			Lien / Lien NHL
Jake Allen	Islanders	G	35	1990-08-07	No	190 Lbs	6 ft2	Yes	No	Yes	5	Pro Only	6,100,000$	6,100,000$	435,714$	No	6,100,000$	6,100,000$	6,100,000$	6,100,000$	UFA	Lien / Lien NHL
James Reimer	Islanders	G	37	1988-03-15	No	208 Lbs	6 ft2	No	No	Yes	2	Pro Only	5,000,000$	5,000,000$	357,143$	No	5,000,000$	UFA				Lien / Lien NHL
John Leonard	Islanders	LW	27	1998-08-07	No	190 Lbs	5 ft11	No	No	No	2	Pro & Farm	800,000$	800,000$	57,143$	No	800,000$	UFA				Lien / Lien NHL
Konsta Helenius	Islanders	C	19	2006-05-11	Yes	189 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	925,000$	66,071$	No	925,000$	925,000$	RFA			Lien / Lien NHL
Leon Draisaitl	Islanders	C	30	1995-10-27	No	209 Lbs	6 ft2	Yes	No	Yes	2	Pro Only	1$	1$	0$	No	12,000,000$	UFA				Lien / Lien NHL
Mikhail Abramov	Islanders	LW	24	2001-03-26	No	172 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	800,000$	57,143$	No	RFA					Lien / Lien NHL
Nick Abruzzese	Islanders	LW	26	1999-06-04	No	180 Lbs	5 ft11	No	No	No	1	Pro & Farm	825,000$	825,000$	58,929$	No	RFA					Lien / Lien NHL
Nick Foligno	Islanders	LW	38	1987-10-31	No	210 Lbs	6 ft0	Yes	No	Yes	3	Pro Only	5,000,000$	5,000,000$	357,143$	No	5,000,000$	5,000,000$	UFA			Lien / Lien NHL
Nicolas Hague	Islanders	D	27	1998-12-05	No	245 Lbs	6 ft6	No	No	Yes	1	Pro & Farm	3,250,000$	3,250,000$	232,143$	No	UFA					Lien / Lien NHL
Rasmus Dahlin	Islanders	D	25	2000-04-13	No	204 Lbs	6 ft3	No	No	Yes	1	Pro Only	7,000,000$	7,000,000$	500,000$	No	RFA					Lien / Lien NHL
Reilly Smith	Islanders	RW	34	1991-04-01	No	185 Lbs	6 ft1	Yes	No	Yes	2	Pro Only	5,000,000$	5,000,000$	357,143$	No	5,000,000$	UFA				Lien / Lien NHL
Rem Pitlick	Islanders	C	28	1997-04-02	No	202 Lbs	5 ft11	No	No	No	3	Pro & Farm	575,000$	575,000$	41,071$	No	575,000$	575,000$	UFA			Lien / Lien NHL
Robert Hagg	Islanders	D	30	1995-02-08	No	210 Lbs	6 ft2	No	No	No	3	Pro & Farm	575,000$	575,000$	41,071$	No	575,000$	575,000$	UFA			Lien / Lien NHL
Troy Grosenick	Islanders	G	36	1989-08-27	No	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	575,000$	575,000$	41,071$	No	575,000$	UFA				Lien / Lien NHL
Vladimir Tarasenko	Islanders	RW	34	1991-12-13	No	219 Lbs	6 ft1	No	No	Yes	1	Pro Only	8,500,000$	8,500,000$	607,143$	No	UFA					Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
25	29.44	200 Lbs	6 ft1	2.28	3,439,000$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
85,975,001$	75,850,000$	42,050,000$	20,900,000$	6,100,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nick Foligno	Konsta Helenius	Cole Caufield	36	1	2	2
2	John Leonard	Cal O'Reilly	Reilly Smith	34	1	2	2
3	Austin Watson	Rem Pitlick	Vladimir Tarasenko	17	1	2	2
4	Nick Abruzzese	Konsta Helenius	Cole Caufield	13	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Rasmus Dahlin	Cody Ceci	40	1	2	2
2	Nicolas Hague	Erik Gudbranson	30	1	2	2
3	Brandt Clarke		20	1	2	2
4	Rasmus Dahlin	Cody Ceci	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nick Foligno	Connor McMichael	Cole Caufield	60	1	2	2
2	John Leonard	Cal O'Reilly	Reilly Smith	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Rasmus Dahlin	Cody Ceci	71	1	2	2
2	Nicolas Hague	Erik Gudbranson	29	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Connor McMichael	Nick Foligno	75	2	1	2
2	Cal O'Reilly	John Leonard	25	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Rasmus Dahlin	Cody Ceci	60	1	2	2
2	Nicolas Hague	Erik Gudbranson	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Connor McMichael	60	1	2	2	Rasmus Dahlin	Cody Ceci	60	1	2	2
2	Cal O'Reilly	40	1	2	2	Nicolas Hague	Erik Gudbranson	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Connor McMichael	Nick Foligno	60	1	2	2
2	Cal O'Reilly	John Leonard	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Rasmus Dahlin	Cody Ceci	60	1	2	2
2	Nicolas Hague	Erik Gudbranson	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nick Foligno	Connor McMichael	Cole Caufield	Rasmus Dahlin	Cody Ceci

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nick Foligno	Connor McMichael	Cole Caufield	Rasmus Dahlin	Cody Ceci

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Vladimir Tarasenko, John Leonard, Austin Watson	Vladimir Tarasenko, John Leonard	Vladimir Tarasenko

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Erik Gudbranson, Brandt Clarke,	Erik Gudbranson	Erik Gudbranson, Brandt Clarke

Tirs de pénalité
Cole Caufield, Nick Foligno, Connor McMichael, Reilly Smith, Vladimir Tarasenko

Gardien
#1 : Jake Allen, #2 : Troy Grosenick

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

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

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0.00%	0	0	0.00%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
0	0	0	0	0	0	0	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
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	RI	Lien

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Nick Foligno

AGE:38
SK:		81
EN:		81
DU:		96
PH:		63
PA:		61
SC:		66
DF:		81
John Leonard

AGE:27
SK:		82
EN:		81
DU:		71
PH:		60
PA:		48
SC:		70
DF:		70
Austin Watson

AGE:33
SK:		75
EN:		68
DU:		52
PH:		54
PA:		40
SC:		69
DF:		64
Justin Sourdif

AGE:23
SK:		82
EN:		60
DU:		50
PH:		57
PA:		54
SC:		61
DF:		64
Nick Abruzzese

AGE:26
SK:		78
EN:		80
DU:		70
PH:		50
PA:		52
SC:		47
DF:		50
Mikhail Abramov

AGE:24
SK:		77
EN:		60
DU:		50
PH:		50
PA:		51
SC:		49
DF:		57
Cross Hanas

AGE:23
SK:		75
EN:		67
DU:		57
PH:		37
PA:		31
SC:		43
DF:		58
Tristen Robins

AGE:24
SK:		75
EN:		65
DU:		55
PH:		43
PA:		43
SC:		42
DF:		50
Justin Gill (R)

AGE:22
SK:		85
EN:		60
DU:		50
PH:		33
PA:		34
SC:		32
DF:		50
Aleksandr Kisakov

AGE:23
SK:		75
EN:		60
DU:		50
PH:		38
PA:		26
SC:		49
DF:		60

Leon Draisaitl

AGE:30
SK:		98
EN:		91
DU:		92
PH:		99
PA:		99
SC:		99
DF:		80
Jack Hughes

AGE:24
SK:		99
EN:		89
DU:		85
PH:		91
PA:		97
SC:		86
DF:		81
Connor McMichael

AGE:24
SK:		89
EN:		82
DU:		99
PH:		74
PA:		71
SC:		76
DF:		72
Nikita Alexandrov

AGE:25
SK:		85
EN:		60
DU:		50
PH:		67
PA:		68
SC:		66
DF:		64
Marc Gatcomb (R)

AGE:26
SK:		76
EN:		71
DU:		70
PH:		54
PA:		42
SC:		67
DF:		66
Logan Brown

AGE:27
SK:		75
EN:		60
DU:		50
PH:		61
PA:		65
SC:		57
DF:		61
Cal O'Reilly

AGE:39
SK:		79
EN:		77
DU:		67
PH:		55
PA:		66
SC:		43
DF:		70
Konsta Helenius (R)

AGE:19
SK:		89
EN:		74
DU:		64
PH:		47
PA:		46
SC:		48
DF:		59
Rem Pitlick

AGE:28
SK:		79
EN:		60
DU:		50
PH:		55
PA:		70
SC:		39
DF:		53
Dmitry Zlodeev

AGE:23
SK:		75
EN:		60
DU:		50
PH:		27
PA:		20
SC:		34
DF:		55

Cole Caufield

AGE:24
SK:		94
EN:		85
DU:		99
PH:		80
PA:		73
SC:		87
DF:		72
Reilly Smith

AGE:34
SK:		84
EN:		80
DU:		97
PH:		66
PA:		68
SC:		63
DF:		82
Vladimir Tarasenko

AGE:34
SK:		80
EN:		79
DU:		98
PH:		62
PA:		63
SC:		61
DF:		63
Isak Rosen

AGE:22
SK:		83
EN:		70
DU:		60
PH:		62
PA:		56
SC:		68
DF:		64
Egor Sokolov

AGE:25
SK:		75
EN:		81
DU:		71
PH:		50
PA:		45
SC:		55
DF:		50

Défense #1

Défense #2

Gardien

Rasmus Dahlin

AGE:25
SK:		92
EN:		90
DU:		93
PH:		88
PA:		97
SC:		79
DF:		86
Colton Parayko

AGE:32
SK:		81
EN:		89
DU:		87
PH:		73
PA:		66
SC:		81
DF:		90
Cody Ceci

AGE:32
SK:		77
EN:		85
DU:		99
PH:		58
PA:		59
SC:		56
DF:		87
Nicolas Hague

AGE:27
SK:		75
EN:		78
DU:		89
PH:		54
PA:		48
SC:		59
DF:		69
Brandt Clarke

AGE:22
SK:		81
EN:		77
DU:		96
PH:		64
PA:		69
SC:		58
DF:		74
Erik Gudbranson

AGE:33
SK:		75
EN:		79
DU:		54
PH:		55
PA:		61
SC:		50
DF:		73
Ethan Del Mastro

AGE:22
SK:		75
EN:		80
DU:		60
PH:		57
PA:		54
SC:		60
DF:		73

Grant Hutton

AGE:30
SK:		75
EN:		72
DU:		52
PH:		51
PA:		53
SC:		50
DF:		70
Robert Hagg

AGE:30
SK:		75
EN:		61
DU:		56
PH:		48
PA:		52
SC:		45
DF:		55
Josiah Didier

AGE:32
SK:		75
EN:		62
DU:		57
PH:		31
PA:		28
SC:		34
DF:		70
Hunter Brzustewicz (R)

AGE:21
SK:		87
EN:		74
DU:		69
PH:		45
PA:		52
SC:		39
DF:		51
Kevin Connauton

AGE:35
SK:		75
EN:		60
DU:		55
PH:		40
PA:		36
SC:		43
DF:		55
Andrew Perrott

AGE:24
SK:		75
EN:		55
DU:		50
PH:		35
PA:		33
SC:		36
DF:		69
Brad Hunt

AGE:37
SK:		76
EN:		55
DU:		50
PH:		46
PA:		50
SC:		42
DF:		51

Jake Allen

AGE:35
SK:		85
AG:		86
RB:		82
SC:		85
HS:		84
RT:		84
DF:		83
James Reimer

AGE:37
SK:		86
AG:		80
RB:		80
SC:		79
HS:		78
RT:		79
DF:		78
Alex Lyon

AGE:33
SK:		88
AG:		77
RB:		76
SC:		75
HS:		79
RT:		78
DF:		77
Alex Nedeljkovic

AGE:29
SK:		89
AG:		74
RB:		71
SC:		72
HS:		76
RT:		76
DF:		75
Troy Grosenick

AGE:36
SK:		78
AG:		60
RB:		58
SC:		54
HS:		55
RT:		54
DF:		55

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
Allan McShane	Islanders	2032	50
Austin Roest	Islanders	2037	139
Bear Hughes	Islanders	2034	169
Clarke Caswell	Islanders	2038	81
Cole Brown	Islanders	2037	201
Cole Eiserman	Islanders	2038	10
David Lewandowski	Islanders	2039	106
Egor Serdyuk	Islanders	2033	162
Erik Pahlsson	Islanders	2038	196
Ethan Czata	Islanders	2039	49
Ethan Haider	Islanders	2033	190
Gabriel Chiarot	Islanders	2039	173
Hagen Burrows	Islanders	2038	101
Hunter St. Martin	Islanders	2038	165
Ilya Kanarsky	Islanders	2039	142
Jacob Kvasnicka	Islanders	2039	204
Jeremy Langlois	Islanders	2036	89
Jimmy Lombardi	Islanders	2039	123
Juho Markkanen	Islanders	2034	138
Justin Carbonneau	Islanders	2039	18
Justin Schutz	Islanders	2032	162
Kirill Slepets	Islanders	2033	192
Kyle Kukkonen	Islanders	2035	195
Landon Sim	Islanders	2036	207
Luca Munzenberger	Islanders	2035	112
Luca Romano	Islanders	2039	56
Maksim Berezkin	Islanders	2034	160
Mats Lindgren	Islanders	2036	114
Matt Brassard	Islanders	2032	192
Matvei Shuravin	Islanders	2038	111
Matyas Melovsky	Islanders	2038	168
Max Westergard	Islanders	2039	107
Nick Lardis	Islanders	2037	46
Noah Powell	Islanders	2038	106
Nolan Collins	Islanders	2036	176
Owen Martin	Islanders	2039	104
Riley Heidt	Islanders	2037	33
Riley Patterson	Islanders	2038	137
Robert Orr	Islanders	2035	164
Roman Luttsev	Islanders	2039	148
Ryker Lee	Islanders	2039	24
Shamar Moses	Islanders	2039	116
Sutter Muzzatti	Islanders	2037	203
Teddy Stiga	Islanders	2038	41
Terik Parascak	Islanders	2038	19
Tnias Mathurin	Islanders	2036	152
Travis Hayes	Islanders	2039	77
Trevor Hoskin	Islanders	2038	103
Trey Augustine	Islanders	2037	37
Viggo Nordlund	Islanders	2039	197
Will Cranley	Islanders	2034	191

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042

Islanders 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	Phil Kessel	1190	389	585	974	24	182	297	1933	3565	10.91%	148	23072	19.39	100	189	289	816	8	10	18	80	50	21	35.17%	11	0.84	28	77
2	Alexandre Burrows	1497	280	468	748	-49	1263	2089	2082	2853	9.81%	850	25873	17.28	55	86	141	308	10	10	20	76	43	14	49.38%	4	0.58	13	44
3	Taylor Hall	705	281	411	692	12	291	787	1352	2335	12.03%	199	15354	21.78	75	151	226	608	6	5	11	60	43	15	34.71%	7	0.90	14	48
4	Evgeni Malkin	506	252	390	642	58	253	693	1580	2034	12.39%	125	12122	23.96	62	152	214	502	2	6	8	42	33	17	51.04%	3	1.06	13	51
5	Vincent Lecavalier	733	232	403	635	64	793	1503	1567	2043	11.36%	191	14354	19.58	43	126	169	349	4	3	7	35	39	10	53.47%	5	0.88	7	53

Islanders 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	Craig Anderson	895	448	332	78	0.901	3.21	51499	69	19	2758	27798	2399	46	16	0.750	352
2	James Reimer	194	98	78	11	0.889	3.51	10922	18	10	638	5737	0	12	4	0.700	30
3	Philipp Grubauer	211	94	82	27	0.901	3.27	12209	41	4	666	6753	0	14	6	0.674	86
4	Martin Brodeur	100	40	44	7	0.890	3.70	5575	12	1	344	3119	0	5	2	0.500	16
5	Ty Conklin	80	36	32	4	0.896	3.11	4354	21	1	226	2165	863	5	1	0.789	19

Islanders 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	32	37	0	3	2	5	3	248	269	-21	41	16	20	0	2	0	2	1	122	134	-12	41	16	17	0	1	2	3	2	126	135	-9	72	248	396	644	1	1	0	68	88	84	2555	0	829	882	818	2488	811	1179	1933	271	38	14.02%	268	55	79.48%	7	951	1948	48.82%	909	2004	45.36%	627	1377	45.53%	1702	925	1879	850	1552	772
2018	82	42	27	0	2	3	4	4	265	234	31	41	23	12	0	0	2	0	4	138	121	17	41	19	15	0	2	1	4	0	127	113	14	91	265	422	687	0	1	0	75	90	94	2655	0	811	930	892	2554	812	1124	2058	229	48	20.96%	230	48	79.13%	7	1018	2001	50.87%	963	2000	48.15%	647	1359	47.61%	1785	1042	1698	742	1484	731
2019	82	31	31	0	5	2	8	5	254	237	17	41	12	17	0	4	1	6	1	118	127	-9	41	19	14	0	1	1	2	4	136	110	26	74	254	410	664	4	1	0	81	85	75	2647	0	816	903	900	2533	912	1135	1960	205	41	20.00%	241	48	80.08%	2	1034	2069	49.98%	1048	2061	50.85%	574	1178	48.73%	1731	967	1741	768	1525	756
2020	82	29	30	0	2	9	7	5	238	242	-4	41	16	15	0	1	4	3	2	116	112	4	41	13	15	0	1	5	4	3	122	130	-8	71	238	382	620	1	2	0	55	85	89	2343	0	675	804	827	2419	812	994	1682	237	51	21.52%	226	42	81.42%	5	927	1846	50.22%	986	1961	50.28%	575	1169	49.19%	1646	866	1731	798	1621	803
2021	82	32	34	0	0	2	10	4	243	258	-15	41	14	18	0	0	1	6	2	123	142	-19	41	18	16	0	0	1	4	2	120	116	4	66	243	424	667	2	3	0	88	70	75	2392	0	816	799	738	2768	768	1003	1842	410	72	17.56%	427	82	80.80%	6	1444	2907	49.67%	1531	3219	47.56%	627	1278	49.06%	1908	1308	2068	613	1017	499
2022	82	32	35	0	5	4	3	3	239	247	-8	41	18	17	0	1	1	2	2	120	115	5	41	14	18	0	4	3	1	1	119	132	-13	78	239	416	655	4	3	0	86	75	70	2339	0	751	772	792	2503	768	1093	1767	435	71	16.32%	420	81	80.71%	7	1518	2999	50.62%	1440	3041	47.35%	618	1289	47.94%	2017	1399	1937	612	1014	507
2023	82	37	33	0	4	1	5	2	314	283	31	41	22	12	0	2	0	4	1	168	126	42	41	15	21	0	2	1	1	1	146	157	-11	83	314	544	858	3	3	0	110	97	98	2730	0	877	924	898	2725	734	1180	1908	447	80	17.90%	488	104	78.69%	3	1569	3092	50.74%	1497	3176	47.13%	679	1371	49.53%	1950	1340	1989	616	1032	511
2024	82	43	34	0	1	1	1	2	293	269	24	41	24	17	0	0	0	0	0	148	126	22	41	19	17	0	1	1	1	2	145	143	2	93	293	531	824	0	1	0	110	100	81	2738	0	903	870	950	2558	754	939	1713	427	84	19.67%	388	73	81.19%	2	1668	3113	53.58%	1476	2971	49.68%	716	1348	53.12%	1966	1369	1959	611	1012	499
2025	82	32	42	0	0	0	2	6	298	336	-38	41	17	19	0	0	0	1	4	140	153	-13	41	15	23	0	0	0	1	2	158	183	-25	74	298	519	817	3	1	0	107	104	85	2811	0	936	952	898	2871	858	1093	1881	421	93	22.09%	415	95	77.11%	4	1519	3060	49.64%	1384	3135	44.15%	681	1442	47.23%	1845	1258	2091	622	1022	495
2026	82	34	33	0	3	4	2	6	325	336	-11	41	17	16	0	1	1	2	4	156	170	-14	41	17	17	0	2	3	0	2	169	166	3	88	325	581	906	0	0	0	115	119	86	2732	0	887	860	961	2972	855	1106	1972	400	91	22.75%	459	117	74.51%	5	1361	3007	45.26%	1364	3266	41.76%	616	1409	43.72%	1817	1238	2142	621	1015	486
2027	82	29	41	0	1	2	3	6	279	330	-51	41	14	22	0	0	2	2	1	139	172	-33	41	15	19	0	1	0	1	5	140	158	-18	74	279	486	765	2	1	0	104	81	90	2638	0	851	861	899	2905	859	1150	1778	398	74	18.59%	456	107	76.54%	0	1487	2932	50.72%	1392	3169	43.93%	661	1372	48.18%	1808	1240	2159	610	999	474
2030	82	43	28	0	0	3	6	2	342	292	50	41	25	12	0	0	0	3	1	186	139	47	41	18	16	0	0	3	3	1	156	153	3	103	342	600	942	0	2	0	103	130	103	3059	0	978	1031	1023	2966	850	931	1946	461	119	25.81%	408	88	78.43%	4	1634	3283	49.77%	1508	3286	45.89%	640	1429	44.79%	1867	1275	2079	612	1017	499
2031	82	37	27	0	3	2	2	11	303	265	38	41	23	12	0	0	1	0	5	166	126	40	41	14	15	0	3	1	2	6	137	139	-2	97	303	539	842	1	2	0	107	95	96	2839	0	953	920	929	2658	779	847	1806	429	102	23.78%	385	70	81.82%	3	1585	3169	50.02%	1515	3117	48.60%	651	1391	46.80%	1985	1375	1986	610	1023	510
2032	82	26	44	0	2	0	5	5	293	353	-60	41	15	21	0	0	0	3	2	147	173	-26	41	11	23	0	2	0	2	3	146	180	-34	71	293	519	812	1	2	0	107	95	84	2798	0	924	927	921	2856	792	850	1752	394	66	16.75%	353	85	75.92%	2	1529	3133	48.80%	1322	2914	45.37%	619	1423	43.50%	1991	1396	1962	595	1019	505
2033	82	32	37	0	4	5	1	3	264	283	-19	41	18	13	0	3	4	1	2	139	129	10	41	14	24	0	1	1	0	1	125	154	-29	82	264	471	735	2	3	0	106	80	73	2351	0	837	738	756	2670	772	973	1843	401	91	22.69%	420	89	78.81%	5	1386	2754	50.33%	1446	3056	47.32%	652	1338	48.73%	1901	1305	2026	613	1027	506
2034	82	24	40	0	3	5	3	7	220	286	-66	41	12	21	0	1	2	1	4	115	153	-38	41	12	19	0	2	3	2	3	105	133	-28	72	220	387	607	1	1	0	91	63	60	2060	0	673	701	660	2723	755	842	1656	382	67	17.54%	360	91	74.72%	3	1197	2553	46.89%	1312	3040	43.16%	583	1294	45.05%	1960	1355	1983	609	1036	514
2035	82	39	30	0	1	4	2	6	290	291	-1	41	24	13	0	1	0	2	1	156	139	17	41	15	17	0	0	4	0	5	134	152	-18	94	290	517	807	5	0	0	102	92	93	2658	0	826	915	904	2812	791	967	1863	385	87	22.60%	388	80	79.38%	2	1332	2956	45.06%	1370	3273	41.86%	615	1417	43.40%	1894	1308	2052	606	1023	502
2036	82	42	32	0	2	3	3	0	321	288	33	41	25	13	0	1	1	1	0	167	130	37	41	17	19	0	1	2	2	0	154	158	-4	97	321	572	893	2	3	0	125	95	96	2682	0	893	902	876	2611	747	1008	1957	400	75	18.75%	423	79	81.32%	3	1326	2916	45.47%	1338	2983	44.85%	645	1373	46.98%	1948	1348	1989	599	1010	501
2037	82	26	39	0	5	6	3	3	285	332	-47	41	15	17	0	4	3	1	1	152	159	-7	41	11	22	0	1	3	2	2	133	173	-40	77	285	507	792	2	1	98	84	95	12	2472	814	812	816	56	2672	779	949	1638	379	81	21.37%	409	99	75.79%	6	1371	2818	48.65%	1370	2872	47.70%	682	1361	50.11%	2015	1415	1939	592	1017	513
2038	82	41	30	0	6	4	1	0	318	257	61	41	26	10	0	2	3	0	0	153	117	36	41	15	20	0	4	1	1	0	165	140	25	100	318	572	890	2	6	118	100	93	8	2651	846	917	878	13	2556	771	864	1748	424	102	24.06%	353	72	79.60%	10	1390	2887	48.15%	1322	2895	45.66%	668	1378	48.48%	1970	1377	1953	597	1017	510
2039	82	33	33	0	4	8	3	1	289	280	9	41	13	16	0	3	6	3	0	136	135	1	41	20	17	0	1	2	0	1	153	145	8	89	289	514	803	0	2	118	71	93	10	2484	896	777	783	40	2559	779	990	1797	422	73	17.30%	415	71	82.89%	3	1342	2860	46.92%	1348	2935	45.93%	632	1316	48.02%	1978	1361	1954	610	1033	517
Total Saison régulière	1722	716	717	0	56	70	79	84	5921	5968	-47	861	389	333	0	26	32	43	38	3005	2898	107	861	327	384	0	30	38	36	46	2916	3070	-154	1746	5921	10309	16230	36	39	334	1995	1925	1562	54634	2556	17742	18168	15751	56379	16758	21217	38500	7957	1606	20.18%	7932	1676	78.87%	89	28588	58303	49.03%	27841	60374	46.11%	13408	28312	47.36%	39694	26477	41328	13515	23525	11618
Séries éliminatoires
2018	4	0	4	0	0	0	0	0	7	17	-10	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	3	9	-6	0	7	11	18	0	0	0	1	3	3	118	0	31	59	28	110	41	65	96	12	3	25.00%	13	4	69.23%	0	58	108	53.70%	35	83	42.17%	27	62	43.55%	84	47	81	36	74	37
2019	13	6	7	0	0	0	0	0	35	43	-8	6	2	4	0	0	0	0	0	14	23	-9	7	4	3	0	0	0	0	0	21	20	1	12	35	51	86	1	0	0	5	19	9	407	0	127	146	119	437	142	195	271	40	7	17.50%	49	12	75.51%	3	156	315	49.52%	167	349	47.85%	93	192	48.44%	272	152	296	123	231	115
2021	5	1	4	0	0	0	0	0	10	14	-4	2	1	1	0	0	0	0	0	5	5	0	3	0	3	0	0	0	0	0	5	9	-4	2	10	17	27	0	0	0	5	1	4	115	0	39	37	39	151	54	91	108	15	4	26.67%	23	6	73.91%	0	69	150	46.00%	69	174	39.66%	39	71	54.93%	105	71	135	35	58	27
2022	4	0	4	0	0	0	0	0	8	15	-7	2	0	2	0	0	0	0	0	3	5	-2	2	0	2	0	0	0	0	0	5	10	-5	0	8	14	22	1	0	0	4	3	1	146	0	42	44	38	146	30	36	109	31	1	3.23%	18	3	83.33%	0	86	177	48.59%	98	167	58.68%	34	75	45.33%	120	83	115	37	60	30
2023	4	0	4	0	0	0	0	0	12	20	-8	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	6	12	-6	0	12	21	33	0	0	0	5	3	4	153	0	52	35	38	190	49	77	105	11	4	36.36%	34	7	79.41%	0	89	181	49.17%	110	219	50.23%	50	82	60.98%	104	70	122	35	62	30
2024	7	3	4	0	0	0	0	0	19	19	0	3	2	1	0	0	0	0	0	9	7	2	4	1	3	0	0	0	0	0	10	12	-2	6	19	33	52	0	0	0	8	7	4	201	0	74	63	64	207	73	89	166	31	2	6.45%	30	7	76.67%	0	127	253	50.20%	121	244	49.59%	56	99	56.57%	156	104	179	49	85	42
2030	7	3	4	0	0	0	0	0	22	25	-3	3	2	1	0	0	0	0	0	9	9	0	4	1	3	0	0	0	0	0	13	16	-3	6	22	34	56	0	0	0	5	6	11	209	0	61	66	80	266	77	87	137	38	9	23.68%	31	5	83.87%	0	121	251	48.21%	131	288	45.49%	57	119	47.90%	146	96	189	52	86	42
2031	6	2	4	0	0	0	0	0	18	18	0	3	1	2	0	0	0	0	0	9	12	-3	3	1	2	0	0	0	0	0	9	6	3	4	18	33	51	0	1	0	9	4	5	189	0	52	74	62	161	37	64	131	29	2	6.90%	33	8	75.76%	0	99	215	46.05%	95	207	45.89%	44	99	44.44%	139	94	145	46	76	37
2035	10	4	6	0	0	0	0	0	32	39	-7	5	3	2	0	0	0	0	0	17	21	-4	5	1	4	0	0	0	0	0	15	18	-3	8	32	56	88	0	0	0	15	5	11	310	0	105	89	105	385	118	146	206	50	9	18.00%	49	12	75.51%	1	154	350	44.00%	177	441	40.14%	74	171	43.27%	225	151	276	76	125	59
2038	4	0	4	0	0	0	0	0	13	23	-10	2	0	2	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	8	12	-4	0	13	24	37	0	0	4	6	3	0	118	43	45	30	0	151	48	64	84	21	4	19.05%	14	4	71.43%	0	58	138	42.03%	71	142	50.00%	35	82	42.68%	89	61	100	27	50	24
Total Séries éliminatoires	64	19	45	0	0	0	0	0	176	233	-57	30	11	19	0	0	0	0	0	81	109	-28	34	8	26	0	0	0	0	0	95	124	-29	38	176	294	470	2	1	4	63	54	52	1966	43	628	643	573	2204	669	914	1413	278	45	16.19%	294	68	76.87%	4	1017	2138	47.57%	1074	2314	46.41%	509	1052	48.38%	1443	933	1642	521	911	447

Islanders 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	Phil Kessel	47	18	17	35	3	6	20	66	159	11.32%	9	1030	21.93	2	8	10	43	1	0	1	6	1	1	25.32%	1	0.68
2	Vincent Lecavalier	37	9	19	28	-9	40	90	87	118	7.63%	5	828	22.39	2	8	10	20	0	0	0	1	0	1	52.67%	0	0.68
3	Dan Hamhuis	37	5	17	22	-7	27	53	86	74	6.76%	65	1025	27.71	2	3	5	41	0	2	2	3	0	1	0.00%	0	0.43
4	Jordan Eberle	24	6	11	17	-5	17	5	33	45	13.33%	4	399	16.63	2	2	4	3	0	0	0	0	0	0	21.74%	0	0.85
5	Alexander Ovechkin	15	10	4	14	-1	26	51	32	88	11.36%	4	389	25.98	2	0	2	18	0	0	0	1	0	0	39.37%	0	0.72

Islanders 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	SAR	A	EG
1	Craig Anderson	47	14	27	5	0.901	3.13	2821	17	1	147	1488	197	4	1
2	Philipp Grubauer	10	4	6	0	0.900	3.61	565	0	0	34	340	0	0	0
3	Martin Brodeur	2	1	0	1	0.918	2.48	121	0	0	5	61	0	0	0
4	Dany Sabourin	2	0	1	0	0.854	8.94	47	0	0	7	48	0	0	1
5	Manny Legace	1	0	0	0	0.850	5.81	31	0	0	3	20	5	0	0