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

Centre de jeu
	New York Islanders 6-2-0, 12pts	3	FINAL	6	New Jersey Devils 7-3-1, 15pts

Team Stats
W1	Séquence	W1
4-0-0	Fiche domicile	4-2-0
2-2-0	Fiche visiteur	3-1-1
6-2-0	Derniers 10 matchs	6-3-1
3.88	Buts par match	3.45
2.88	Buts contre par match	3.00
28.13%	Pourcentage en avantage numérique	21.57%
81.48%	Pourcentage en désavantage numérique	78.33%

Florida Panthers
8-2-0, 16pts

FINAL

New York Islanders
6-2-0, 12pts

Team Stats
L1	Séquence	W1
4-0-0	Fiche domicile	4-0-0
4-2-0	Fiche visiteur	2-2-0
8-2-0	Derniers 10 matchs	6-2-0
3.70	Buts par match	3.88
2.80	Buts contre par match	2.88
21.15%	Pourcentage en avantage numérique	28.13%
81.25%	Pourcentage en désavantage numérique	81.48%

Anaheim Ducks
5-2-0, 10pts

Jour 26

New York Islanders
6-2-0, 12pts

Statistiques d’équipe
W1	Séquence	W1
2-1-0	Fiche domicile	4-0-0
3-1-0	Fiche visiteur	2-2-0
5-2-0	10 derniers matchs	6-2-0
2.43	Buts par match	3.88
2.14	Buts contre par match	3.88
25.64%	Pourcentage en avantage numérique	28.13%
81.82%	Pourcentage en désavantage numérique	81.48%

New York Islanders
6-2-0, 12pts

Jour 27

Columbus Blue Jackets
5-1-1, 11pts

Statistiques d’équipe
W1	Séquence	L1
4-0-0	Fiche domicile	4-0-0
2-2-0	Fiche visiteur	1-1-1
6-2-0	10 derniers matchs	5-1-1
3.88	Buts par match	2.86
2.88	Buts contre par match	2.86
28.13%	Pourcentage en avantage numérique	11.11%
81.48%	Pourcentage en désavantage numérique	85.71%

New York Islanders
6-2-0, 12pts

Jour 29

Buffalo Sabres
3-6-0, 6pts

Statistiques d’équipe
W1	Séquence	L1
4-0-0	Fiche domicile	1-4-0
2-2-0	Fiche visiteur	2-2-0
6-2-0	10 derniers matchs	3-6-0
3.88	Buts par match	2.44
2.88	Buts contre par match	2.44
28.13%	Pourcentage en avantage numérique	17.24%
81.48%	Pourcentage en désavantage numérique	84.91%

Meneurs d'équipe
	Buts Mitch Marner 5	Passes Mitch Marner 7

	Points Mitch Marner 12	Plus/Moins Phillip Danault 4

	Victoires Filip Gustavsson 4	Pourcentage d’arrêts Filip Gustavsson 0.895

Statistiques d’équipe
Buts pour 31 3.88 GFG	Tirs pour 241 30.13 Avg	Pourcentage en avantage numérique 28.1% 9 GF	Début de zone offensive 40.9%
Buts contre 23 2.88 GAA	Tirs contre 224 28.00 Avg	Pourcentage en désavantage numérique 81.5%% 5 GA	Début de la zone défensive 40.2%

Informations de l'équipe
	Directeur général	Dave Bergeron
	Entraîneur	Peter Laviolette
	Division	Metropolitan
	Conférence	Eastern Conference
	Capitaine	Erik Karlsson
	Assistant #1	Mitch Marner
	Assistant #2	Brent Burns
Informations de l’aréna
	Nom	Nassau Veterans Memorial Coliseum
	Capacité	20,000
	Assistance	19,734
	Billets de saison	8,000
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	27
	Limite contact	49 / 250
	Espoirs	50
Plafond salarial
	Cap Salarial de la Saison estimé	71,606,016$
	Plafond salarial disponible	11,893,984$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	7,089,240$
	Dépenses annuelles à ce jour	9,393,682$
	Revenus de la saison estimés	65,575,470$
	Dépenses de la saison estimées	70,293,390$
	Compte bancaire actuel	45,027,086$
	Compte bancaire projeté	40,775,103$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Alex Ovechkin		X	X		98.00	82	38	86	77	91	90	89	79	57	78	85	65	83	94	96	36	59	0	0	39	2	6,250,000$
2	Sonny Milano		X	X		100.00	64	37	92	74	73	81	82	72	56	68	70	62	76	70	71	72	59	0	0	28	1	1,600,000$
3	Ryan O'Reilly	X	X	X		97.00	60	36	92	74	79	90	85	75	86	77	76	84	73	87	76	46	46	0	0	33	5	5,000,000$
4	Gustav Nyquist	X	X	X		98.00	64	34	95	77	68	88	85	76	63	80	73	75	74	83	78	30	59	0	0	35	4	3,185,000$
5	Phillip Danault	X				98.00	70	38	84	75	78	89	90	73	84	77	70	83	71	78	75	62	59	0	0	31	1	3,250,000$
6	Zach Hyman	X	X	X		99.00	70	39	83	81	79	90	89	77	59	78	90	67	76	77	79	36	61	0	0	32	2	2,550,000$
7	Mitch Marner (A)	X		X		98.00	67	34	91	83	70	92	88	85	53	82	80	88	82	72	74	76	59	0	0	27	3	8,000,000$
8	Tomas Nosek	X	X			100.00	70	43	84	66	84	80	79	65	87	63	60	83	62	75	73	27	54	0	0	32	1	1,250,000$
9	Victor Olofsson		X			100.00	60	34	95	73	69	82	84	72	52	64	74	62	73	71	72	40	59	0	0	29	2	3,250,000$
10	Fredrik Olofsson		X			100.00	69	38	92	62	78	75	87	64	74	63	59	68	61	67	69	52	59	0	0	28	3	750,000$
11	Brent Burns (A)			X	X	100.00	63	39	88	74	95	93	90	72	30	82	73	83	59	94	80	32	59	0	0	39	4	5,000,000$
12	Erik Karlsson (C)				X	100.00	62	34	85	81	72	95	90	79	30	91	77	66	62	87	78	45	59	0	0	34	1	11,500,000$
13	Jeff Petry				X	100.00	82	40	86	70	85	91	85	66	30	78	60	83	53	87	77	33	59	0	0	36	2	4,000,000$
14	TJ Brodie				X	100.00	65	36	88	67	78	92	86	63	30	75	54	90	50	85	74	32	59	0	0	34	2	2,500,000$
15	Matt Roy				X	100.00	75	36	88	68	82	92	90	66	30	74	65	89	54	71	73	40	59	0	0	29	1	700,000$
16	Zach Whitecloud				X	100.00	77	40	81	64	84	88	82	62	30	71	60	81	50	69	71	36	59	0	0	27	3	3,000,000$
17	Will Borgen				X	100.00	81	72	78	66	84	87	90	62	30	74	56	77	50	69	71	52	59	0	0	27	3	1,799,999$
18	Johnathan Kovacevic				X	100.00	71	58	81	64	94	88	86	62	30	70	61	77	53	67	69	56	45	0	0	27	3	750,000$
Rayé
1	T.J. Oshie	X	X	X		63.51	77	43	71	75	72	87	80	73	58	71	75	65	77	89	81	34	44	0	0	37	1	4,500,000$
2	Tyler Seguin	X		X		82.03	70	36	89	79	77	89	87	78	85	76	77	71	79	85	75	56	48	0	0	32	2	4,225,000$
Équipe Mineure
1	TJ Tynan	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	32	1	702,019$
2	Kyle Turris	X	X	X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	35	2	750,000$
3	Michael Sgarbossa	X				100.00	66	37	84	64	70	80	84	63	73	68	65	62	64	72	73	27	50	0	0	32	4	775,000$
4	Cooper Marody (R)	X				100.00	62	39	81	65	71	83	81	64	70	67	61	62	65	68	70	41	50	0	0	27	1	925,000$
5	Saku Maenalanen	X	X			100.00	40	35	40	65	35	80	90	40	20	40	40	40	30	68	69	11	50	0	0	30	3	750,000$
6	Joseph Gambardella	X				100.00	61	36	95	59	70	72	82	57	68	61	56	55	59	71	73	34	50	0	0	30	3	750,000$
7	Matthew Phillips (R)	X				100.00	59	34	95	65	60	82	80	64	61	62	63	60	64	66	68	47	50	0	0	26	3	750,000$
8	Mikhail Maltsev (R)		X			100.00	72	39	92	63	83	84	69	62	65	61	58	60	63	67	68	59	50	0	0	26	3	800,000$
9	Joel Kellman	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	30	1	700,000$
10	CJ Suess		X			100.00	61	38	81	59	70	76	81	56	63	57	58	54	55	70	72	46	50	0	0	30	3	775,000$
11	Lukas Rousek (R)			X		100.00	58	36	91	66	68	75	86	65	71	67	59	63	64	66	67	47	49	0	0	25	3	775,000$
12	Hunter McKown (R)	X				100.00	68	38	83	62	78	81	71	57	66	61	55	58	56	62	64	44	50	0	0	22	1	950,000$
13	Samuel Walker (R)	X				100.00	40	35	40	68	35	80	90	40	20	40	40	40	30	64	66	11	50	0	0	25	3	842,500$
14	Dan Hamhuis				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	41	1	1,500,000$
15	Sami Niku				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	27	2	750,000$
16	Christian Wolanin				X	100.00	65	38	86	66	78	83	80	65	30	67	55	58	49	69	71	49	50	0	0	29	2	750,000$
17	Lucas Carlsson (R)				X	100.00	68	39	74	62	73	90	82	61	30	63	59	60	52	67	69	51	50	0	0	27	3	800,000$
18	Casey Fitzgerald (R)				X	100.00	66	39	77	62	70	76	78	56	30	63	52	65	48	67	69	54	50	0	0	27	3	750,000$
19	Cavan Fitzgerald				X	100.00	66	39	84	60	75	72	76	59	30	58	57	61	50	68	70	36	50	0	0	28	2	750,000$
20	Jack Rathbone				X	100.00	60	36	90	64	66	83	82	63	30	62	60	61	52	65	67	60	50	0	0	25	3	750,000$
21	Wyatt Kalynuk				X	100.00	64	42	68	59	73	65	84	58	30	57	54	56	46	67	69	42	50	0	0	27	1	925,000$
22	Daemon Hunt (R)				X	100.00	67	38	89	63	78	74	82	61	30	62	56	65	49	62	64	67	50	0	0	22	2	867,500$
23	Marcus Bjork (R)				X	100.00	77	40	78	65	89	83	84	64	30	67	60	62	65	67	69	37	50	0	0	26	3	775,000$
24	Spencer Stastney (R)				X	100.00	60	36	95	64	71	82	84	63	30	65	60	68	52	64	65	56	50	0	0	24	1	925,000$
25	Wyatt Kaiser (R)				X	100.00	61	40	72	66	69	85	74	63	30	67	58	65	49	62	64	65	50	0	0	22	2	925,000$

	MOYENNE D’ÉQUIPE					98.52	63	39	78	65	70	83	84	62	45	65	60	64	56	67	67	41	53	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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Jordan Binnington	100.00	89	98	88	75	90	88	89	89	89	76	92	76	85	54	61	0	0	31	3	6,000,000$
2	Filip Gustavsson (R)	100.00	88	96	82	77	89	87	88	89	89	75	93	67	75	67	61	0	0	26	3	825,000$
Rayé
Équipe Mineure
1	Adam Huska (R)	100.00	40	90	80	50	40	40	40	40	40	40	40	25	25	11	50	0	0	27	2	750,000$
2	Felix Sandstrom (R)	100.00	66	99	76	83	67	67	66	66	67	55	73	67	77	56	50	0	0	27	3	750,000$

	MOYENNE D’ÉQUIPE	100.00	71	96	82	71	72	71	71	71	71	62	75	59	66	47	56	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Laviolette	87	88	90	85	88	82	58	USA	59	1	4,200,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	FO%	FOT	P/20	FT	S1	S2	S3
1	Mitch Marner	New York Islanders	C/RW	8	5	7	12	1	6	0	8	18	31	13	33	16.13%	1	180	22.59	1	4	5	7	24	0	0	0	0	20	1	18.18%	11	1.33	0	1	3	0
2	Tyler Seguin	New York Islanders	C/RW	6	4	5	9	2	0	0	9	14	18	3	11	22.22%	1	117	19.65	0	2	2	2	13	0	0	0	0	7	1	51.97%	127	1.53	0	2	1	0
3	Zach Hyman	New York Islanders	C/LW/RW	8	4	5	9	0	18	10	17	9	25	11	17	16.00%	0	161	20.20	2	1	3	5	21	0	0	0	0	0	0	30.00%	10	1.11	2	0	0	0
4	Jeff Petry	New York Islanders	D	8	0	7	7	3	4	0	25	5	5	4	8	0%	8	172	21.54	0	3	3	4	19	0	0	0	0	20	0	0%	0	0.81	0	0	0	1
5	Phillip Danault	New York Islanders	C	8	3	4	7	4	0	0	13	32	32	6	17	9.38%	5	169	21.16	0	2	2	5	14	0	1	1	0	19	0	56.52%	230	0.83	0	0	1	1
6	Alex Ovechkin	New York Islanders	LW/RW	8	3	3	6	1	6	0	21	6	33	8	17	9.09%	0	168	21.07	2	0	2	8	24	0	0	0	2	2	0	38.46%	13	0.71	0	1	0	0
7	Erik Karlsson	New York Islanders	D	8	1	5	6	2	2	0	0	10	6	7	6	16.67%	6	156	19.62	1	3	4	3	23	0	0	0	0	0	0	0%	0	0.76	0	0	0	0
8	Brent Burns	New York Islanders	RW/D	8	1	3	4	1	4	0	9	5	13	6	8	7.69%	15	189	23.72	1	1	2	6	25	0	0	0	0	21	0	0%	0	0.42	0	0	0	0
9	Ryan O'Reilly	New York Islanders	C/LW/RW	7	3	1	4	1	0	0	4	21	16	9	16	18.75%	5	141	20.22	1	0	1	2	15	0	0	0	2	19	1	52.43%	185	0.57	0	1	0	1
10	Gustav Nyquist	New York Islanders	C/LW/RW	8	2	2	4	-4	2	0	6	11	20	3	13	10.00%	1	146	18.37	0	1	1	2	16	1	0	1	1	10	1	63.33%	30	0.54	0	0	1	0
11	Zach Whitecloud	New York Islanders	D	8	0	4	4	0	2	0	12	6	5	1	4	0%	3	122	15.36	0	0	0	0	0	0	0	0	0	8	0	0%	0	0.65	0	0	0	0
12	Sonny Milano	New York Islanders	LW/RW	8	3	0	3	2	2	0	2	1	8	3	7	37.50%	0	86	10.79	0	0	0	0	0	0	0	0	0	0	1	33.33%	15	0.69	0	0	0	0
13	TJ Brodie	New York Islanders	D	8	0	3	3	1	2	0	4	13	4	2	8	0%	6	154	19.33	0	0	0	2	19	0	0	0	0	20	0	0%	0	0.39	0	0	0	0
14	Matt Roy	New York Islanders	D	8	0	3	3	1	8	0	9	4	8	0	1	0%	15	158	19.84	0	0	0	0	2	0	0	0	0	19	0	0%	0	0.38	0	0	0	0
15	Tomas Nosek	New York Islanders	C/LW	4	1	1	2	0	0	0	10	6	2	2	2	50.00%	1	63	15.88	0	0	0	0	0	0	0	0	0	10	1	43.08%	65	0.63	0	0	0	1
16	Victor Olofsson	New York Islanders	LW	8	1	1	2	2	6	0	4	8	11	2	8	9.09%	0	109	13.71	1	0	1	1	5	0	0	0	0	0	0	53.85%	13	0.36	0	0	0	0
17	Fredrik Olofsson	New York Islanders	LW	8	0	1	1	1	0	0	1	1	3	0	2	0%	0	24	3.05	0	0	0	0	0	0	0	0	0	0	0	100.00%	2	0.82	0	0	0	0
18	T.J. Oshie	New York Islanders	C/LW/RW	2	0	0	0	1	2	0	6	0	1	1	0	0%	1	19	9.78	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0
19	Will Borgen	New York Islanders	D	8	0	0	0	0	0	0	1	0	0	0	0	0%	2	5	0.63	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				139	31	55	86	19	64	10	161	170	241	81	178	12.86%	70	2350	16.91	9	17	26	47	229	1	1	2	5	180	6	51.99%	702	0.73	2	5	6	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 gardien	Nom de l’équipe	GP	W	L	PCT	GAA	MP	GA	SA	PS %	ST	BG	S3
1	Filip Gustavsson	New York Islanders	5	4	1	0.895	3.20	300	16	152	0	5	3	1
2	Jordan Binnington	New York Islanders	3	2	1	0.903	2.33	180	7	72	0	3	5	0
Statistiques d’équipe totales ou en moyenne			8	6	2	0.897	2.88	480	23	224		8	8	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 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
Alex Ovechkin	New York Islanders	LW/RW	39	1985-07-28	RUS	No	238 Lbs	6 ft3	No	No	Trade	2024-05-31	No	No	2	2024-05-31	False	False	Pro Only	6,250,000$	5,520,305$	6,250,000$	5,520,305$	No	6,250,000$	-	-	-	-	-	-	-	-	12,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Brent Burns	New York Islanders	RW/D	39	1985-07-28	CAN	No	230 Lbs	6 ft5	No	No	N/A		No	No	4	2024-05-19	False	False	Pro Only	5,000,000$	4,416,244$	5,000,000$	4,416,244$	No	5,000,000$	5,000,000$	5,000,000$	-	-	-	-	-	-	5,000,000$	5,000,000$	5,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Erik Karlsson	New York Islanders	D	34	1990-07-28	SWE	No	190 Lbs	6 ft0	No	No	N/A		No	No	1	2024-05-19	False	False	Pro & Farm	11,500,000$	10,157,360$	11,500,000$	10,157,360$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Filip Gustavsson	New York Islanders	G	26	1998-06-07	SWE	Yes	184 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	825,000$	728,680$	825,000$	728,680$	No	825,000$	825,000$	-	-	-	-	-	-	-	825,000$	825,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Fredrik Olofsson	New York Islanders	LW	28	1996-05-27	SWE	No	190 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	750,000$	662,437$	750,000$	662,437$	No	750,000$	750,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Gustav Nyquist	New York Islanders	C/LW/RW	35	1989-09-01	SWE	No	180 Lbs	5 ft11	No	No	N/A		No	No	4	2024-05-19	False	False	Pro & Farm	3,185,000$	2,813,147$	3,185,000$	2,813,147$	No	3,185,000$	3,185,000$	3,185,000$	-	-	-	-	-	-	3,185,000$	3,185,000$	3,185,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Jeff Petry	New York Islanders	D	36	1987-12-09	USA	No	208 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	4,000,000$	3,532,995$	4,000,000$	3,532,995$	No	4,000,000$	-	-	-	-	-	-	-	-	4,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Johnathan Kovacevic	New York Islanders	D	27	1997-07-12	CAN	No	223 Lbs	6 ft5	No	No	N/A		No	No	3		False	False	Pro & Farm	750,000$	662,437$	750,000$	662,437$	No	750,000$	750,000$	-	-	-	-	-	-	-	702,020$	702,020$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Jordan Binnington	New York Islanders	G	31	1993-07-11	CAN	No	172 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	6,000,000$	5,299,492$	6,000,000$	5,299,492$	No	6,000,000$	6,000,000$	-	-	-	-	-	-	-	6,000,000$	6,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Matt Roy	New York Islanders	D	29	1995-03-01	USA	No	210 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	700,000$	618,274$	700,000$	618,274$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Mitch Marner	New York Islanders	C/RW	27	1997-05-05	CAN	No	181 Lbs	6 ft0	No	No	N/A		No	No	3		False	False	Pro & Farm	8,000,000$	7,065,990$	8,000,000$	7,065,990$	No	8,000,000$	8,000,000$	-	-	-	-	-	-	-	8,000,000$	8,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Phillip Danault	New York Islanders	C	31	1993-02-24	CAN	No	200 Lbs	6 ft1	No	No	Trade	2024-05-31	No	No	1		False	False	Pro & Farm	3,250,000$	2,870,558$	3,250,000$	2,870,558$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Ryan O'Reilly	New York Islanders	C/LW/RW	33	1991-07-28	CAN	No	207 Lbs	6 ft1	No	No	N/A		No	No	5	2024-05-19	False	False	Pro & Farm	5,000,000$	4,416,244$	5,000,000$	4,416,244$	No	5,000,000$	5,000,000$	5,000,000$	5,000,000$	-	-	-	-	-	5,000,000$	5,000,000$	5,000,000$	5,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien
Sonny Milano	New York Islanders	LW/RW	28	1996-05-12	USA	No	194 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	1,600,000$	1,413,198$	1,600,000$	1,413,198$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
T.J. Oshie (sur la masse salariale)	New York Islanders	C/LW/RW	37	1987-07-28	USA	No	187 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	4,500,000$	3,974,619$	0$	0$	Yes	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
TJ Brodie	New York Islanders	D	34	1990-06-07	CAN	No	187 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	2,500,000$	2,208,122$	2,500,000$	2,208,122$	No	2,500,000$	-	-	-	-	-	-	-	-	2,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Tomas Nosek	New York Islanders	C/LW	32	1992-09-01	CZE	No	205 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,250,000$	1,104,061$	1,250,000$	1,104,061$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Tyler Seguin (sur la masse salariale)	New York Islanders	C/RW	32	1992-01-31	CAN	No	207 Lbs	6 ft1	No	No	Trade	2024-05-31	No	No	2	2024-05-31	False	False	Pro & Farm	4,225,000$	3,731,726$	0$	0$	Yes	4,225,000$	-	-	-	-	-	-	-	-	8,450,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Victor Olofsson	New York Islanders	LW	29	1995-07-18	SWE	No	182 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	3,250,000$	2,870,558$	3,250,000$	2,870,558$	No	3,250,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Will Borgen	New York Islanders	D	27	1996-12-19	USA	No	204 Lbs	6 ft3	No	No	N/A		No	No	3		False	False	Pro & Farm	1,799,999$	1,589,847$	1,799,999$	1,589,847$	No	1,799,999$	1,799,999$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Zach Hyman	New York Islanders	C/LW/RW	32	1992-06-09	CAN	No	206 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	2,550,000$	2,252,284$	2,550,000$	2,252,284$	No	2,550,000$	-	-	-	-	-	-	-	-	2,550,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Zach Whitecloud	New York Islanders	D	27	1996-11-28	CAN	No	218 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	3,000,000$	2,649,746$	3,000,000$	2,649,746$	No	3,000,000$	3,000,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	31.50	200 Lbs	6 ft2	2.36	3,631,136$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
79,884,999$	57,084,999$	34,309,999$	13,185,000$	5,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex Ovechkin	Ryan O'Reilly	Mitch Marner	37	0	1	4
2	Zach Hyman	Phillip Danault	Gustav Nyquist	37	0	1	4
3	Victor Olofsson	Tomas Nosek	Sonny Milano	19	0	2	3
4	Zach Hyman	Tomas Nosek	Sonny Milano	7	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jeff Petry	Erik Karlsson	35	0	4	1
2	Matt Roy	Brent Burns	35	0	4	1
3	TJ Brodie	Zach Whitecloud	30	0	3	2
4	TJ Brodie	Zach Whitecloud	0	0	3	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex Ovechkin	Phillip Danault	Mitch Marner	50	0	1	4
2	Zach Hyman	Ryan O'Reilly	Gustav Nyquist	50	0	1	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brent Burns	Erik Karlsson	61	0	1	4
2	TJ Brodie	Jeff Petry	39	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Phillip Danault	Mitch Marner	50	0	5	0
2	Ryan O'Reilly	Tomas Nosek	50	0	5	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	TJ Brodie	Jeff Petry	50	0	5	0
2	Matt Roy	Brent Burns	50	0	5	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Ryan O'Reilly	50	0	5	0	TJ Brodie	Jeff Petry	50	0	5	0
2	Phillip Danault	50	0	5	0	Matt Roy	Brent Burns	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Ryan O'Reilly	Mitch Marner	50	0	1	4
2	Phillip Danault	Alex Ovechkin	50	0	1	4

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jeff Petry	Erik Karlsson	50	0	4	1
2	Matt Roy	Brent Burns	50	0	4	1

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex Ovechkin	Ryan O'Reilly	Mitch Marner	Brent Burns	Erik Karlsson

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Tomas Nosek	Ryan O'Reilly	Mitch Marner	TJ Brodie	Brent Burns

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Victor Olofsson, Sonny Milano, Zach Hyman	Zach Hyman, Victor Olofsson	Gustav Nyquist

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Erik Karlsson, Brent Burns, Will Borgen	Matt Roy	Zach Whitecloud, TJ Brodie

Tirs de pénalité
Mitch Marner, Zach Hyman, Alex Ovechkin, Victor Olofsson, Phillip Danault

Gardien
#1 : Jordan Binnington, #2 : Filip Gustavsson

Lignes d’attaque personnalisées en prolongation
Ryan O'Reilly, Zach Hyman, Mitch Marner, Alex Ovechkin, Tomas Nosek, Victor Olofsson, Victor Olofsson, Phillip Danault, Brent Burns, Sonny Milano, Gustav Nyquist

Lignes de défense personnalisées en prolongation
Erik Karlsson, TJ Brodie, Will Borgen, Jeff Petry, Matt Roy

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	Colorado Avalanche	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	5	1	2	1.000	6	10	16	0	0	3	2	1	0	35	13	8	14	0	31	14	12	17	3	3	100.00%	6	1	83.33%	1	151	287	52.61%	148	282	52.48%	66	133	49.62%	24	17	23	7	11	6
2	Dallas Stars	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	1	1	1	0	20	11	5	4	0	21	10	6	21	6	1	16.67%	3	0	100.00%	0	151	287	52.61%	148	282	52.48%	66	133	49.62%	20	13	26	8	13	6
3	Detroit Red Wings	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	2	1	0	26	5	9	12	0	21	6	11	18	2	1	50.00%	3	0	100.00%	0	151	287	52.61%	148	282	52.48%	66	133	49.62%	23	14	23	8	13	6
4	Florida Panthers	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	2	1	1	0	34	9	13	12	0	16	5	4	18	7	0	0.00%	2	1	50.00%	0	151	287	52.61%	148	282	52.48%	66	133	49.62%	27	20	20	7	11	6
5	Montreal Canadiens	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	3	2	0	0	31	13	11	7	0	33	10	8	18	4	1	25.00%	4	0	100.00%	0	151	287	52.61%	148	282	52.48%	66	133	49.62%	26	17	20	6	12	7
6	New Jersey Devils	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	3	6	9	0	0	3	0	0	0	29	10	13	6	0	31	8	11	29	6	2	33.33%	3	2	33.33%	0	151	287	52.61%	148	282	52.48%	66	133	49.62%	22	15	23	7	13	7
7	St. Louis Blues	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	0	0	1	0	35	9	9	17	0	35	11	6	21	2	0	0.00%	3	1	66.67%	0	151	287	52.61%	148	282	52.48%	66	133	49.62%	22	15	24	7	12	6
8	Utah Hockey Club	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	3	1	1	0	31	12	6	13	0	36	6	6	19	2	1	50.00%	3	0	100.00%	0	151	287	52.61%	148	282	52.48%	66	133	49.62%	25	17	21	7	12	6
	Total	8	6	2	0	0	0	0	0	31	23	8	4	4	0	0	0	0	0	0	18	6	12	4	2	2	0	0	0	0	0	13	17	-4	12	0.750	31	55	86	0	0	16	9	6	0	241	82	74	85	0	224	70	64	161	32	9	28.13%	27	5	81.48%	1	151	287	52.61%	148	282	52.48%	66	133	49.62%	194	133	182	59	102	51
	_Since Last GM Reset	8	6	2	0	0	0	0	0	31	23	8	4	4	0	0	0	0	0	0	18	6	12	4	2	2	0	0	0	0	0	13	17	-4	12	0.750	31	55	86	0	0	16	9	6	0	241	82	74	85	0	224	70	64	161	32	9	28.13%	27	5	81.48%	1	151	287	52.61%	148	282	52.48%	66	133	49.62%	194	133	182	59	102	51
	_Vs Conference	4	3	1	0	0	0	0	0	16	10	6	3	3	0	0	0	0	0	0	13	4	9	1	0	1	0	0	0	0	0	3	6	-3	6	0.750	16	29	45	0	0	9	5	2	0	120	37	46	37	0	101	29	34	83	19	4	21.05%	12	3	75.00%	0	151	287	52.61%	148	282	52.48%	66	133	49.62%	100	69	87	29	51	27
	_Vs Division	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	3	6	9	0	0	3	0	0	0	29	10	13	6	0	31	8	11	29	6	2	33.33%	3	2	33.33%	0	151	287	52.61%	148	282	52.48%	66	133	49.62%	22	15	23	7	13	7

			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
8	12	W1	31	55	86	241	224	70	64	161	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	6	2	0	0	0	0	31	23

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	18	6

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	13	17

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	2	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
32	9	28.13%	27	5	81.48%	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
82	74	85	0	16	9	6	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
151	287	52.61%	148	282	52.48%	66	133	49.62%

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
194	133	182	59	102	51

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
7	16	Utah Hockey Club	2	New York Islanders	5	W	Sommaire du match
9	32	New York Islanders	3	Dallas Stars	2	W	Sommaire du match
11	47	New York Islanders	6	Colorado Avalanche	5	W	Sommaire du match
14	68	New York Islanders	1	St. Louis Blues	4	L	Sommaire du match
16	81	Montreal Canadiens	1	New York Islanders	5	W	Sommaire du match
19	98	Detroit Red Wings	2	New York Islanders	4	W	Sommaire du match
22	119	New York Islanders	3	New Jersey Devils	6	L	Sommaire du match
23	130	Florida Panthers	1	New York Islanders	4	W	Sommaire du match
26	152	Anaheim Ducks	-	New York Islanders	-
27	155	New York Islanders	-	Columbus Blue Jackets	-
29	169	New York Islanders	-	Buffalo Sabres	-
31	185	New York Islanders	-	New York Rangers	-
33	198	Pittsburgh Penguins	-	New York Islanders	-
35	209	New York Islanders	-	Ottawa Senators	-
37	231	New Jersey Devils	-	New York Islanders	-
40	249	New York Islanders	-	Edmonton Oilers	-
42	265	New York Islanders	-	Vancouver Canucks	-
44	273	New York Islanders	-	Seattle Kraken	-
47	299	New York Islanders	-	Calgary Flames	-
49	308	New York Islanders	-	Detroit Red Wings	-
51	330	St. Louis Blues	-	New York Islanders	-
53	341	Detroit Red Wings	-	New York Islanders	-
55	353	Boston Bruins	-	New York Islanders	-
57	366	New York Islanders	-	Washington Capitals	-
58	383	Buffalo Sabres	-	New York Islanders	-
61	398	New York Islanders	-	Montreal Canadiens	-
63	416	Seattle Kraken	-	New York Islanders	-
65	428	Carolina Hurricanes	-	New York Islanders	-
66	438	New York Islanders	-	Ottawa Senators	-
68	450	Los Angeles Kings	-	New York Islanders	-
70	464	Chicago Blackhawks	-	New York Islanders	-
73	489	New York Islanders	-	Chicago Blackhawks	-
75	500	New York Islanders	-	Carolina Hurricanes	-
79	532	New York Islanders	-	Toronto Maple Leafs	-
81	552	Buffalo Sabres	-	New York Islanders	-
86	575	Pittsburgh Penguins	-	New York Islanders	-
87	581	New York Islanders	-	Pittsburgh Penguins	-
89	590	New York Islanders	-	Toronto Maple Leafs	-
91	607	Toronto Maple Leafs	-	New York Islanders	-
94	633	New York Islanders	-	Boston Bruins	-
98	663	New York Islanders	-	Vegas Golden Knights	-
100	680	New York Islanders	-	Utah Hockey Club	-
103	699	Ottawa Senators	-	New York Islanders	-
105	712	Philadelphia Flyers	-	New York Islanders	-
107	731	San Jose Sharks	-	New York Islanders	-
109	745	Columbus Blue Jackets	-	New York Islanders	-
113	772	Philadelphia Flyers	-	New York Islanders	-
114	785	Carolina Hurricanes	-	New York Islanders	-
117	803	Colorado Avalanche	-	New York Islanders	-
119	816	New York Islanders	-	Philadelphia Flyers	-
121	829	New York Islanders	-	Tampa Bay Lightning	-
122	838	New York Islanders	-	Florida Panthers	-
124	850	Vegas Golden Knights	-	New York Islanders	-
127	872	New York Islanders	-	Winnipeg Jets	-
128	886	New York Islanders	-	Minnesota Wild	-
143	913	Dallas Stars	-	New York Islanders	-
145	925	New York Rangers	-	New York Islanders	-
147	933	New York Islanders	-	Boston Bruins	-
149	949	Nashville Predators	-	New York Islanders	-
151	970	New York Islanders	-	New York Rangers	-
152	978	Winnipeg Jets	-	New York Islanders	-
156	1012	New York Islanders	-	San Jose Sharks	-
157	1020	New York Islanders	-	Anaheim Ducks	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159	1034	New York Islanders	-	Los Angeles Kings	-
162	1050	Edmonton Oilers	-	New York Islanders	-
164	1070	Florida Panthers	-	New York Islanders	-
166	1080	New York Islanders	-	Pittsburgh Penguins	-
168	1094	Montreal Canadiens	-	New York Islanders	-
170	1108	Calgary Flames	-	New York Islanders	-
172	1126	Columbus Blue Jackets	-	New York Islanders	-
174	1139	Vancouver Canucks	-	New York Islanders	-
177	1160	New York Islanders	-	Tampa Bay Lightning	-
178	1175	New York Islanders	-	Carolina Hurricanes	-
180	1186	Tampa Bay Lightning	-	New York Islanders	-
183	1208	Minnesota Wild	-	New York Islanders	-
185	1222	Washington Capitals	-	New York Islanders	-
187	1241	New York Islanders	-	Nashville Predators	-
189	1254	New York Rangers	-	New York Islanders	-
191	1265	New York Islanders	-	Philadelphia Flyers	-
192	1277	New York Islanders	-	New Jersey Devils	-
194	1296	Washington Capitals	-	New York Islanders	-
196	1312	New York Islanders	-	Columbus Blue Jackets	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6300	5300	3300	4000	1100
Prix des billets	92	50	30	19	190
Assistance	24,847	21,031	12,669	16,000	4,390
Attendance PCT	98.60%	99.20%	95.98%	100.00%	99.77%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
37	19734 - 98.67%	1,772,310$	7,089,240$	20000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
9,393,682$	75,384,999$	78,312,020$	4,200,000$0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
361,218$	8,754,084$	0$	20	2

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
65,575,470$	174	403,985$	70,293,390$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
72,251,169$	45,027,086$	40,775,103$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
71,606,016$	11,893,984$	83,500,000$	9,906,016$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Sonny Milano	AGE:28	PO:72	OV:0
Mikhail Maltsev (R)	AGE:26	PO:59	OV:0
Fredrik Olofsson	AGE:28	PO:52	OV:0
Ryan O'Reilly	AGE:33	PO:46	OV:0
CJ Suess	AGE:30	PO:46	OV:0
Victor Olofsson	AGE:29	PO:40	OV:0
Alex Ovechkin	AGE:39	PO:36	OV:0
Zach Hyman	AGE:32	PO:36	OV:0
T.J. Oshie	AGE:37	PO:34	OV:0
Gustav Nyquist	AGE:35	PO:30	OV:0
Tomas Nosek	AGE:32	PO:27	OV:0
Kyle Turris	AGE:35	PO:11	OV:0
Saku Maenalanen	AGE:30	PO:11	OV:0

Mitch Marner	AGE:27	PO:76	OV:0
Phillip Danault	AGE:31	PO:62	OV:0
Tyler Seguin	AGE:32	PO:56	OV:0
Matthew Phillips (R)	AGE:26	PO:47	OV:0
Ryan O'Reilly	AGE:33	PO:46	OV:0
Hunter McKown (R)	AGE:22	PO:44	OV:0
Cooper Marody (R)	AGE:27	PO:41	OV:0
Zach Hyman	AGE:32	PO:36	OV:0
T.J. Oshie	AGE:37	PO:34	OV:0
Joseph Gambardella	AGE:30	PO:34	OV:0
Gustav Nyquist	AGE:35	PO:30	OV:0
Michael Sgarbossa	AGE:32	PO:27	OV:0
Tomas Nosek	AGE:32	PO:27	OV:0
TJ Tynan	AGE:32	PO:11	OV:0
Kyle Turris	AGE:35	PO:11	OV:0
Saku Maenalanen	AGE:30	PO:11	OV:0
Joel Kellman	AGE:30	PO:11	OV:0
Samuel Walker (R)	AGE:25	PO:11	OV:0

Mitch Marner	AGE:27	PO:76	OV:0
Sonny Milano	AGE:28	PO:72	OV:0
Tyler Seguin	AGE:32	PO:56	OV:0
Lukas Rousek (R)	AGE:25	PO:47	OV:0
Ryan O'Reilly	AGE:33	PO:46	OV:0
Alex Ovechkin	AGE:39	PO:36	OV:0
Zach Hyman	AGE:32	PO:36	OV:0
T.J. Oshie	AGE:37	PO:34	OV:0
Brent Burns	AGE:39	PO:32	OV:0
Gustav Nyquist	AGE:35	PO:30	OV:0
Kyle Turris	AGE:35	PO:11	OV:0

Défense #1

Défense #2

Gardien

Daemon Hunt (R)	AGE:22	PO:67	OV:0
Wyatt Kaiser (R)	AGE:22	PO:65	OV:0
Jack Rathbone	AGE:25	PO:60	OV:0
Johnathan Kovacevic	AGE:27	PO:56	OV:0
Spencer Stastney (R)	AGE:24	PO:56	OV:0
Casey Fitzgerald (R)	AGE:27	PO:54	OV:0
Will Borgen	AGE:27	PO:52	OV:0
Lucas Carlsson (R)	AGE:27	PO:51	OV:0
Christian Wolanin	AGE:29	PO:49	OV:0
Erik Karlsson	AGE:34	PO:45	OV:0

Wyatt Kalynuk	AGE:27	PO:42	OV:0
Matt Roy	AGE:29	PO:40	OV:0
Marcus Bjork (R)	AGE:26	PO:37	OV:0
Zach Whitecloud	AGE:27	PO:36	OV:0
Cavan Fitzgerald	AGE:28	PO:36	OV:0
Jeff Petry	AGE:36	PO:33	OV:0
Brent Burns	AGE:39	PO:32	OV:0
TJ Brodie	AGE:34	PO:32	OV:0
Dan Hamhuis	AGE:41	PO:11	OV:0
Sami Niku	AGE:27	PO:11	OV:0

Filip Gustavsson (R)	AGE:26	PO:67	OV:0
Felix Sandstrom (R)	AGE:27	PO:56	OV:0
Jordan Binnington	AGE:31	PO:54	OV:0
Adam Huska (R)	AGE:27	PO:11	OV:0

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	Information	Date de la Dernière Transaction	Lien
Alex Ciernik	New York Islanders	0	0
Alex Steeves	New York Islanders	0	0
Alezander Yakovenko	New York Islanders	0	0
Axel Andersson	New York Islanders	0	0
Beck Warm	New York Islanders	0	0
Ben Copeland	New York Islanders	0	0
Ben MacDonald	New York Islanders	0	0
Brett Brochu	New York Islanders	0	0
Carl Persson	New York Islanders	0	0
Christoffer Sedoff	New York Islanders	0	0
Colby Barlow	New York Islanders	0	0
Cole Jordan	New York Islanders	0	0
Corey Schueneman	New York Islanders	0	0
Dryden McKay	New York Islanders	0	0
Ethan Samson	New York Islanders	0	0
Evan Barratt	New York Islanders	0	0
Gavin Brindley	New York Islanders	0	0
Grant Hutton	New York Islanders	0	0
Jacob Ragnarsson	New York Islanders	0	0
Jacob Truscott	New York Islanders	0	0
Jakob Forsbacka Karlsson	New York Islanders	0	0
Janne Juvonen	New York Islanders	0	0
Jesper Froden	New York Islanders	0	0
Joel Nystrom	New York Islanders	0	0
John Nyberg	New York Islanders	0	0
Joonas Oden	New York Islanders	0	0
Joseph Willis	New York Islanders	0	0
Kristian Tanus	New York Islanders	0	0
Kyle Masters	New York Islanders	0	0
Marcus Davidsson	New York Islanders	0	0
Mattew Samoskevich	New York Islanders	0	0
Matthew Stienburg	New York Islanders	0	0
Maxim Krovyakov	New York Islanders	0	0
Michael McNiven	New York Islanders	0	0
Mitchell Vande Sompel	New York Islanders	0	0
Nick Swaney	New York Islanders	0	0
Owen McLaughlin	New York Islanders	0	0
Ryan Chesley	New York Islanders	0	0
Samuel Urban	New York Islanders	0	0
Santtu Kinnunen	New York Islanders	0	0
Sergey Tolchinsky	New York Islanders	0	0
Tanner Dickinson	New York Islanders	0	0
Theo Rochette	New York Islanders	0	0
Tyler Boucher	New York Islanders	0	0
Tyler Muszelik	New York Islanders	0	0
Tyler Wall	New York Islanders	0	0
Tyler Wall	New York Islanders	0	0
Tyler Weiss	New York Islanders	0	0
Veini Vehvilainen	New York Islanders	0	0
Yegor Zaitsev	New York Islanders	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22				NYI	NYI	VAN NYI MIN	NYI
23	NYI	NYI	NYI	NYI	NYI	NYI	NYI
24	NYI	NYI	NYI	NYI	NYI	NYI	NYI
25	NYI	NYI	NYI	NYI	NYI	NYI	NYI
26	NYI	NYI	NYI	NYI	NYI	NYI	NYI
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 Islanders Historique de transactions

[9/12/2024 9:47:23 PM] - Matt Tennyson was released.
[9/12/2024 9:47:23 PM] - New York Islanders paid $0 to release Matt Tennyson.
[9/12/2024 9:47:16 PM] - Johan Larsson was released.
[9/12/2024 9:47:16 PM] - New York Islanders paid $0 to release Johan Larsson.
[9/12/2024 9:47:04 PM] - Paul Stastny was released.
[9/12/2024 9:47:04 PM] - New York Islanders paid $0 to release Paul Stastny.
[8/20/2024 9:12:12 PM] - Wyatt Kaiser has been deleted from New York Islanders.
[8/20/2024 9:12:07 PM] - Daemon Hunt has been deleted from New York Islanders.
[8/18/2024 1:17:31 PM] - Wyatt Kaiser was added to New York Islanders.
[8/18/2024 1:17:26 PM] - Daemon Hunt was added to New York Islanders.

[10/15/2024 8:42:53 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased. But, New York Islanders lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[10/15/2024 8:42:33 PM] Successfully loaded New York Islanders lines done with Web Base Client from IP:70.26.233.47 .
[10/14/2024 8:22:53 PM] Successfully loaded New York Islanders lines done with Web Base Client from IP:70.26.233.47 .
[10/14/2024 8:22:53 PM] Johnathan Kovacevic of New York Islanders was sent to pro.
[10/13/2024 8:42:08 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[10/11/2024 9:57:17 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased. But, New York Islanders lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[10/11/2024 9:57:17 PM] Game 98 - Tyler Seguin from New York Islanders is injured (Abdominal Strain) and is out for 2 weeks.
[10/8/2024 8:35:22 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased. But, New York Islanders lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[10/8/2024 8:35:09 PM] Successfully loaded New York Islanders lines done with Web Base Client from IP:70.81.109.165 .
[10/7/2024 8:23:57 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[10/7/2024 8:22:25 PM] Successfully loaded New York Islanders lines done with Web Base Client from IP:70.26.233.47 .
[10/7/2024 8:22:25 PM] Johnathan Kovacevic of New York Islanders was sent down to farm.
[10/6/2024 8:45:06 PM] Successfully loaded New York Islanders lines done with Web Base Client from IP:64.187.187.110 .
[10/6/2024 8:45:06 PM] Lukas Rousek of New York Islanders was sent down to farm.
[10/5/2024 8:51:05 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[10/4/2024 8:34:23 PM] Tomas Nosek from New York Islanders is back from Broken Bone (Right Leg) Injury.
[10/3/2024 8:44:14 PM] Successfully loaded New York Islanders lines done with Web Base Client from IP:70.26.233.47 .
[10/3/2024 8:44:13 PM] Lukas Rousek of New York Islanders was sent to pro.
[10/3/2024 8:44:13 PM] Johnathan Kovacevic of New York Islanders was sent to pro.
[10/2/2024 8:24:21 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[10/1/2024 8:31:15 PM] Ryan O'Reilly from New York Islanders is back from Sprained Right Finger Injury.
[10/1/2024 8:31:14 PM] Game 32 - Ryan O'Reilly from New York Islanders is injured (Sprained Right Finger) and is out for 3 days.
[10/1/2024 8:31:14 PM] Game 32 - T.J. Oshie from New York Islanders is injured (Sprained Right Ankle) and is out for 2 months.
[10/1/2024 8:27:29 PM] Successfully loaded New York Islanders lines done with Web Base Client from IP:198.103.109.141 .
[9/30/2024 8:25:32 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[9/28/2024 8:38:38 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[9/27/2024 8:40:16 PM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[9/27/2024 8:39:31 PM] Successfully loaded New York Islanders lines done with Web Base Client from IP:204.48.93.222 .

T.J. Oshie est dehors pour 2 semaines à cause de Sprained Right Ankle Injury.
Tyler Seguin est dehors pour 6 jours à cause de Abdominal Strain Injury.

New York Islanders Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

New York Islanders Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

New York Islanders Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

New York Islanders Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

New York Islanders Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	New York Islanders
	GP: 8 \| W: 6 \| L: 2 \| OTL: 0 \| P: 12 GF: 31 \| GA: 23 \| PP%: 28.13% \| PK%: 81.48% DG: Dave Bergeron \| Morale : 57 \| Moyenne d’équipe : N/A Prochains matchs #152 vs Anaheim Ducks