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 17-7-1, 35pts	3	FINAL	4	Washington Capitals 12-8-4, 28pts

Team Stats
W1	Séquence	L1
10-1-0	Fiche domicile	7-4-2
7-6-1	Fiche visiteur	5-4-2
6-3-1	Derniers 10 matchs	4-4-2
3.52	Buts par match	3.46
2.88	Buts contre par match	3.04
22.58%	Pourcentage en avantage numérique	18.27%
84.52%	Pourcentage en désavantage numérique	81.05%

Buffalo Sabres
6-17-1, 13pts

FINAL

New York Islanders
17-7-1, 35pts

Team Stats
L1	Séquence	W1
3-9-1	Fiche domicile	10-1-0
3-8-0	Fiche visiteur	7-6-1
3-6-1	Derniers 10 matchs	6-3-1
2.21	Buts par match	3.52
3.88	Buts contre par match	2.88
10.98%	Pourcentage en avantage numérique	22.58%
77.17%	Pourcentage en désavantage numérique	84.52%

New York Islanders
17-7-1, 35pts

Jour 61

Montreal Canadiens
14-7-2, 30pts

Statistiques d’équipe
W1	Séquence	OTL1
10-1-0	Fiche domicile	11-1-0
7-6-1	Fiche visiteur	3-6-2
6-3-1	10 derniers matchs	4-5-1
3.52	Buts par match	3.70
2.88	Buts contre par match	3.70
22.58%	Pourcentage en avantage numérique	24.51%
84.52%	Pourcentage en désavantage numérique	81.11%

Seattle Kraken
11-12-2, 24pts

Jour 63

New York Islanders
17-7-1, 35pts

Statistiques d’équipe
SOL1	Séquence	W1
5-7-2	Fiche domicile	10-1-0
6-5-0	Fiche visiteur	7-6-1
4-5-1	10 derniers matchs	6-3-1
3.52	Buts par match	3.52
3.68	Buts contre par match	3.52
20.59%	Pourcentage en avantage numérique	22.58%
75.00%	Pourcentage en désavantage numérique	84.52%

Carolina Hurricanes
5-17-3, 13pts

Jour 65

New York Islanders
17-7-1, 35pts

Statistiques d’équipe
L4	Séquence	W1
1-9-1	Fiche domicile	10-1-0
4-8-2	Fiche visiteur	7-6-1
2-6-2	10 derniers matchs	6-3-1
3.16	Buts par match	3.52
4.68	Buts contre par match	3.52
15.56%	Pourcentage en avantage numérique	22.58%
75.25%	Pourcentage en désavantage numérique	84.52%

Meneurs d'équipe
	Buts Zach Hyman 12	Passes Mitch Marner 19

	Points Mitch Marner 30	Plus/Moins Jeff Petry 13

	Victoires Filip Gustavsson 10	Pourcentage d’arrêts Filip Gustavsson 0.903

Statistiques d’équipe
Buts pour 88 3.52 GFG	Tirs pour 834 33.36 Avg	Pourcentage en avantage numérique 22.6% 21 GF	Début de zone offensive 42.6%
Buts contre 72 2.88 GAA	Tirs contre 741 29.64 Avg	Pourcentage en désavantage numérique 84.5%% 13 GA	Début de la zone défensive 39.4%

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	19,768
	Billets de saison	8,000
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	28
	Limite contact	49 / 250
	Espoirs	50
Plafond salarial
	Cap Salarial de la Saison estimé	74,321,971$
	Plafond salarial disponible	9,178,029$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	19,489,787$
	Dépenses annuelles à ce jour	24,017,912$
	Revenus de la saison estimés	53,153,965$
	Dépenses de la saison estimées	58,817,433$
	Compte bancaire actuel	42,954,738$
	Compte bancaire projeté	37,584,274$

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		100.00	82	38	86	77	91	90	89	79	57	78	85	65	83	94	96	36	71	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	71	0	0	28	1	1,600,000$
3	T.J. Oshie	X	X	X		100.00	77	43	71	75	72	87	80	73	58	71	75	65	77	89	81	34	50	0	0	37	1	4,500,000$
4	Ryan O'Reilly	X	X	X		98.00	60	36	92	74	79	90	85	75	86	77	76	84	73	87	76	46	47	0	0	33	5	5,000,000$
5	Tyler Seguin	X		X		100.00	70	36	89	79	77	89	87	78	85	76	77	71	79	85	75	56	53	0	0	32	2	4,225,000$
6	Gustav Nyquist	X	X	X		100.00	64	34	95	77	68	88	85	76	63	80	73	75	74	83	78	30	71	0	0	35	4	3,185,000$
7	Phillip Danault	X				98.00	70	38	84	75	78	89	90	73	84	77	70	83	71	78	75	62	71	0	0	31	1	3,250,000$
8	Zach Hyman	X	X	X		99.00	70	39	83	81	79	90	89	77	59	78	90	67	76	77	79	36	73	0	0	32	2	2,550,000$
9	Mitch Marner (A)	X		X		98.00	67	34	91	83	70	92	88	85	53	82	80	88	82	72	74	76	62	0	0	27	3	8,000,000$
10	Tomas Nosek	X	X			100.00	70	43	84	66	84	80	79	65	87	63	60	83	62	75	73	27	61	0	0	32	1	1,250,000$
11	Victor Olofsson		X			100.00	60	34	95	73	69	82	84	72	52	64	74	62	73	71	72	40	71	0	0	29	2	3,250,000$
12	Lukas Rousek (R)			X		100.00	58	36	91	66	68	75	86	65	71	67	59	63	64	66	67	47	57	0	0	25	3	775,000$
13	Erik Karlsson (C)				X	100.00	62	34	85	81	72	95	90	79	30	91	77	66	62	87	78	45	71	0	0	34	1	11,500,000$
14	Jeff Petry				X	100.00	82	40	86	70	85	91	85	66	30	78	60	83	53	87	77	33	68	0	0	36	2	4,000,000$
15	TJ Brodie				X	100.00	65	36	88	67	78	92	86	63	30	75	54	90	50	85	74	32	71	0	0	34	2	2,500,000$
16	Matt Roy				X	100.00	75	36	88	68	82	92	90	66	30	74	65	89	54	71	73	40	71	0	0	29	1	700,000$
17	Zach Whitecloud				X	100.00	77	40	81	64	84	88	82	62	30	71	60	81	50	69	71	36	56	0	0	27	3	3,000,000$
18	Will Borgen				X	100.00	81	72	78	66	84	87	90	62	30	74	56	77	50	69	71	52	65	0	0	27	3	1,799,999$
Rayé
1	Brent Burns (A)			X	X	84.41	63	39	88	74	95	93	90	72	30	82	73	83	59	94	80	32	54	0	0	39	4	5,000,000$
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	Fredrik Olofsson		X			100.00	69	38	92	62	78	75	87	64	74	63	59	68	61	67	69	52	63	0	0	28	3	750,000$
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	Johnathan Kovacevic				X	100.00	71	58	81	64	94	88	86	62	30	70	61	77	53	67	69	56	48	0	0	27	3	750,000$
19	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$
20	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$
21	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$
22	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$
23	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$
24	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$
25	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$
26	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					99.50	63	39	78	65	70	83	84	62	45	65	60	64	56	67	67	41	56	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	77	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	67	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	61	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	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Mitch Marner	New York Islanders	C/RW	24	11	19	30	6	10	0	24	64	116	32	87	9.48%	6	542	22.59	3	7	10	22	72	0	1	1	1	59	2	0	30.95%	42	0	1.11	0	1	0	0	0	2	5	2
2	Zach Hyman	New York Islanders	C/LW/RW	25	12	13	25	4	32	10	50	22	100	29	73	12.00%	1	507	20.28	2	2	4	16	73	0	0	0	0	0	2	0	41.94%	31	0	0.99	0	1	0	0	2	2	2	0
3	Erik Karlsson	New York Islanders	D	25	6	16	22	10	8	0	8	36	40	15	34	15.00%	22	510	20.41	4	6	10	24	77	0	0	0	0	2	0	0	0%	0	0	0.86	0	0	0	0	0	2	0	0
4	Tyler Seguin	New York Islanders	C/RW	19	11	10	21	7	2	0	24	35	58	12	47	18.97%	1	381	20.08	2	4	6	12	54	0	0	0	0	12	2	0	49.59%	367	0	1.10	1	1	0	0	0	3	2	1
5	Phillip Danault	New York Islanders	C	25	7	14	21	12	8	0	46	70	78	13	44	8.97%	11	513	20.54	0	6	6	11	59	0	1	1	1	64	0	0	55.65%	681	1	0.82	0	0	0	0	0	1	1	1
6	Ryan O'Reilly	New York Islanders	C/LW/RW	23	8	10	18	-1	8	0	8	74	61	16	46	13.11%	6	491	21.37	1	2	3	9	62	1	0	1	4	69	3	1	53.22%	652	0	0.73	0	0	0	0	0	2	1	2
7	Jeff Petry	New York Islanders	D	25	1	16	17	13	19	5	67	18	24	10	19	4.17%	23	550	22.03	1	4	5	12	69	0	0	0	2	61	0	0	0%	0	0	0.62	0	0	0	1	0	0	0	1
8	Alex Ovechkin	New York Islanders	LW/RW	25	7	9	16	1	22	0	75	18	95	35	56	7.37%	1	513	20.55	3	0	3	20	81	0	0	0	2	3	1	1	50.00%	60	0	0.62	0	1	0	0	0	1	2	0
9	TJ Brodie	New York Islanders	D	25	0	11	11	-4	6	0	9	32	13	7	20	0%	27	495	19.81	0	1	1	3	53	0	1	1	0	64	0	0	0%	0	0	0.44	0	0	0	0	0	0	1	0
10	Gustav Nyquist	New York Islanders	C/LW/RW	25	4	7	11	-6	10	0	19	43	70	13	50	5.71%	1	446	17.84	0	1	1	3	28	1	0	1	2	38	2	0	54.64%	97	0	0.49	0	0	0	0	0	0	2	0
11	Matt Roy	New York Islanders	D	25	2	9	11	0	18	0	51	20	29	9	21	6.90%	46	516	20.64	2	1	3	11	40	0	0	0	0	68	0	0	0%	0	0	0.43	0	0	0	0	0	1	0	0
12	Brent Burns	New York Islanders	RW/D	20	4	6	10	1	8	0	21	20	34	15	20	11.76%	35	457	22.90	2	2	4	19	62	0	0	0	0	58	1	1	0%	0	0	0.44	0	0	0	0	0	0	0	0
13	Victor Olofsson	New York Islanders	LW	25	3	4	7	0	6	0	11	14	35	6	24	8.57%	1	309	12.39	1	1	2	3	15	0	0	0	0	0	0	0	52.00%	25	0	0.45	0	1	0	0	0	0	0	0
14	Tomas Nosek	New York Islanders	C/LW	21	3	3	6	-3	12	10	20	25	20	7	12	15.00%	3	229	10.93	0	0	0	0	0	0	0	0	1	30	2	0	46.12%	232	0	0.52	0	0	0	2	0	0	0	1
15	Zach Whitecloud	New York Islanders	D	19	0	5	5	-4	10	0	30	9	7	2	7	0%	11	300	15.80	0	0	0	0	1	0	0	0	0	23	0	0	0%	0	0	0.33	0	0	0	0	0	0	0	0
16	Sonny Milano	New York Islanders	LW/RW	25	4	0	4	-2	4	0	8	11	28	6	16	14.29%	0	238	9.55	0	0	0	0	2	0	0	0	0	0	1	1	34.48%	29	0	0.34	0	0	0	0	0	0	0	1
17	Will Borgen	New York Islanders	D	25	2	2	4	-1	30	10	22	5	9	0	1	22.22%	13	175	7.02	0	0	0	0	0	0	0	0	0	10	0	0	0%	0	0	0.46	0	0	0	1	1	0	0	1
18	T.J. Oshie	New York Islanders	C/LW/RW	11	2	1	3	2	11	5	20	6	12	4	7	16.67%	1	122	11.15	0	1	1	0	5	0	0	0	0	6	0	0	20.00%	15	0	0.49	0	0	1	0	0	0	0	0
19	Fredrik Olofsson	Bridgeport Islanders (NYI)	LW	17	0	1	1	1	4	0	1	2	4	0	3	0%	0	47	2.77	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	3	0	0.42	0	0	0	0	0	0	0	0
20	Lukas Rousek	New York Islanders	RW	12	0	0	0	0	0	0	0	0	1	0	0	0%	0	4	0.38	0	0	0	0	0	0	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				441	87	156	243	36	228	40	514	524	834	231	587	10.43%	209	7353	16.68	21	38	59	165	761	2	3	5	13	574	16	4	51.61%	2234	1	0.66	1	5	1	4	3	14	16	10

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Filip Gustavsson	New York Islanders	15	10	5	0	0.903	2.95	874	2	0	43	444	1	0	0	15	10	1	1	2
2	Jordan Binnington	New York Islanders	12	7	2	1	0.902	2.76	631	0	1	29	297	0	1.000	5	10	15	1	0	0
Statistiques d’équipe totales ou en moyenne			27	17	7	1	0.903	2.87	1506	2	1	72	741	1		5	25	25	2	1	2

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	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$	4,409,898$	6,250,000$	4,409,898$	No	6,250,000$	-	-	-	-	-	-	-	-	12,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Brent Burns (sur la masse salariale)	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$	3,527,919$	0$	0$	Yes	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$	8,114,213$	11,500,000$	8,114,213$	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$	582,107$	825,000$	582,107$	No	825,000$	825,000$	-	-	-	-	-	-	-	825,000$	825,000$	-	-	-	-	-	-	-	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$	2,247,284$	3,185,000$	2,247,284$	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$	2,822,335$	4,000,000$	2,822,335$	No	4,000,000$	-	-	-	-	-	-	-	-	4,000,000$	-	-	-	-	-	-	-	-	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$	4,233,503$	6,000,000$	4,233,503$	No	6,000,000$	6,000,000$	-	-	-	-	-	-	-	6,000,000$	6,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Lukas Rousek	New York Islanders	RW	25	1999-04-20	CZE	Yes	171 Lbs	5 ft11	No	No	N/A		No	No	3		False	False	Pro & Farm	775,000$	546,827$	775,000$	546,827$	No	775,000$	775,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	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$	493,909$	700,000$	493,909$	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$	5,644,670$	8,000,000$	5,644,670$	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$	2,293,147$	3,250,000$	2,293,147$	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$	3,527,919$	5,000,000$	3,527,919$	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$	1,128,934$	1,600,000$	1,128,934$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
T.J. Oshie	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$	3,175,127$	4,500,000$	3,175,127$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	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$	1,763,959$	2,500,000$	1,763,959$	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$	881,980$	1,250,000$	881,980$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Tyler Seguin	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$	2,981,091$	4,225,000$	2,981,091$	No	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$	2,293,147$	3,250,000$	2,293,147$	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$	1,270,050$	1,799,999$	1,270,050$	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$	1,799,239$	2,550,000$	1,799,239$	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$	2,116,751$	3,000,000$	2,116,751$	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
21	31.57	198 Lbs	6 ft1	2.33	3,769,524$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
79,159,999$	56,359,999$	33,584,999$	13,185,000$	5,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Zach Hyman	Phillip Danault	Mitch Marner	40	0	1	4
2	Alex Ovechkin	Ryan O'Reilly	Tyler Seguin	38	0	1	4
3	Victor Olofsson	Gustav Nyquist	T.J. Oshie	19	0	1	4
4	Zach Hyman	Tomas Nosek	Sonny Milano	3	0	2	3

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

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

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Matt Roy	Erik Karlsson	50	0	1	4
2	Jeff Petry	TJ Brodie	50	0	1	4

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

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Phillip Danault	Mitch Marner	50	0	1	4
2	Tyler Seguin	Zach Hyman	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	TJ Brodie	50	0	4	1

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

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Tomas Nosek	Phillip Danault	Mitch Marner	TJ Brodie	Matt Roy

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mitch Marner, Alex Ovechkin, Zach Hyman	Zach Hyman, Gustav Nyquist	Gustav Nyquist

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

Tirs de pénalité
Mitch Marner, Zach Hyman, Alex Ovechkin, Victor Olofsson, Tyler Seguin

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

Lignes d’attaque personnalisées en prolongation
Gustav Nyquist, Zach Hyman, Tyler Seguin, Alex Ovechkin, Mitch Marner, Victor Olofsson, Victor Olofsson, Phillip Danault, T.J. Oshie, Sonny Milano, Ryan O'Reilly

Lignes de défense personnalisées en prolongation
Erik Karlsson, TJ Brodie, Zach Whitecloud, 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	Anaheim Ducks	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	8	12	0	0	1	1	2	0	33	12	8	13	0	35	8	10	18	2	0	0.00%	4	0	100.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	22	15	24	7	13	6
2	Boston Bruins	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	1	0	2	0	33	9	5	19	0	23	7	15	25	6	2	33.33%	5	0	100.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	26	17	20	6	13	7
3	Buffalo Sabres	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	13	20	0	1	3	3	1	0	79	32	24	23	0	44	13	8	40	9	0	0.00%	4	0	100.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	52	38	43	14	24	12
4	Calgary Flames	1	0	0	0	0	1	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	5	6	-1	1	0.500	5	10	15	0	0	1	2	2	0	36	13	6	17	0	46	16	10	28	3	2	66.67%	5	1	80.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	21	14	26	7	13	6
5	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	505	948	53.27%	448	877	51.08%	200	401	49.88%	24	17	23	7	11	6
6	Columbus Blue Jackets	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	9	15	0	0	1	3	2	0	42	8	13	21	0	26	8	2	19	2	0	0.00%	1	0	100.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	24	17	22	6	12	6
7	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	505	948	53.27%	448	877	51.08%	200	401	49.88%	20	13	26	8	13	6
8	Detroit Red Wings	3	2	1	0	0	0	0	0	11	10	1	2	2	0	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	4	6	-2	4	0.667	11	18	29	0	0	5	4	2	0	76	24	26	26	0	84	20	48	61	9	4	44.44%	12	2	83.33%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	66	43	76	22	37	18
9	Edmonton Oilers	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	1	0	2	0	33	9	7	17	0	25	5	2	21	5	0	0.00%	1	0	100.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	29	21	17	6	13	7
10	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	505	948	53.27%	448	877	51.08%	200	401	49.88%	27	20	20	7	11	6
11	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	505	948	53.27%	448	877	51.08%	200	401	49.88%	26	17	20	6	12	7
12	New Jersey Devils	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	8	16	24	0	0	6	1	1	0	77	31	22	24	0	58	11	21	47	12	5	41.67%	7	3	57.14%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	49	33	44	14	26	13
13	New York Rangers	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	1	1	0	0	38	15	15	8	0	42	9	10	20	0	0	0%	5	0	100.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	24	17	22	6	12	6
14	Ottawa Senators	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	0	1	1	0	43	17	16	10	0	32	15	4	22	3	0	0.00%	2	1	50.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	24	16	24	6	11	5
15	Pittsburgh Penguins	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	0	1	0	30	6	12	12	0	38	5	10	27	3	0	0.00%	5	0	100.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	20	13	24	8	14	6
16	Seattle Kraken	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	0	2	0	1	0	34	12	9	13	0	31	9	9	28	4	0	0.00%	2	1	50.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	22	15	26	7	11	5
17	St. Louis Blues	2	0	1	0	0	0	1	0	4	6	-2	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	4	5	9	0	0	0	1	2	1	68	14	19	31	9	66	19	31	28	3	0	0.00%	7	2	71.43%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	48	33	50	14	26	12
18	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	505	948	53.27%	448	877	51.08%	200	401	49.88%	25	17	21	7	12	6
19	Vancouver Canucks	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	2	0	1	0	27	8	6	13	0	25	9	6	19	3	1	33.33%	3	0	100.00%	1	505	948	53.27%	448	877	51.08%	200	401	49.88%	21	14	25	8	13	6
20	Washington Capitals	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	0	2	1	0	34	9	13	12	0	29	10	8	18	7	1	14.29%	3	1	66.67%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	24	16	22	6	12	6
	Total	25	16	7	0	0	1	1	0	88	72	16	11	9	1	0	0	0	1	0	41	19	22	14	7	6	0	0	1	0	0	47	53	-6	35	0.700	88	156	244	0	1	36	26	25	1	834	277	244	309	9	741	209	230	514	93	21	22.58%	84	13	84.52%	2	505	948	53.27%	448	877	51.08%	200	401	49.88%	602	416	585	181	318	160
	_Since Last GM Reset	25	16	7	0	0	1	1	0	88	72	16	11	9	1	0	0	0	1	0	41	19	22	14	7	6	0	0	1	0	0	47	53	-6	35	0.700	88	156	244	0	1	36	26	25	1	834	277	244	309	9	741	209	230	514	93	21	22.58%	84	13	84.52%	2	505	948	53.27%	448	877	51.08%	200	401	49.88%	602	416	585	181	318	160
	_Vs Conference	15	10	5	0	0	0	0	0	52	42	10	8	7	1	0	0	0	0	0	29	13	16	7	3	4	0	0	0	0	0	23	29	-6	20	0.667	52	93	145	0	1	22	18	12	0	517	173	170	174	0	425	113	138	315	62	13	20.97%	50	8	84.00%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	366	253	343	107	190	96
	_Vs Division	6	3	3	0	0	0	0	0	20	22	-2	2	1	1	0	0	0	0	0	6	6	0	4	2	2	0	0	0	0	0	14	16	-2	6	0.500	20	36	56	0	0	8	7	5	0	221	69	75	77	0	193	43	51	131	24	6	25.00%	21	4	80.95%	0	505	948	53.27%	448	877	51.08%	200	401	49.88%	143	98	137	43	78	39

			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
25	35	W1	88	156	244	834	741	209	230	514	0	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	16	7	0	1	1	0	88	72

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	9	1	0	0	1	0	41	19

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	7	6	0	1	0	0	47	53

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
5	3	0	1	1	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
93	21	22.58%	84	13	84.52%	2

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
277	244	309	9	36	26	25	1

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
505	948	53.27%	448	877	51.08%	200	401	49.88%

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
602	416	585	181	318	160

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	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	2	New York Islanders	4	W			Sommaire du match
27	155	New York Islanders	6	Columbus Blue Jackets	5	W			Sommaire du match
29	169	New York Islanders	3	Buffalo Sabres	2	W			Sommaire du match
31	185	New York Islanders	2	New York Rangers	1	W			Sommaire du match
33	198	Pittsburgh Penguins	4	New York Islanders	1	L			Sommaire du match
35	209	New York Islanders	2	Ottawa Senators	5	L			Sommaire du match
37	231	New Jersey Devils	2	New York Islanders	5	W			Sommaire du match
40	249	New York Islanders	3	Edmonton Oilers	1	W			Sommaire du match
42	265	New York Islanders	3	Vancouver Canucks	1	W			Sommaire du match
44	273	New York Islanders	3	Seattle Kraken	5	L			Sommaire du match
47	299	New York Islanders	5	Calgary Flames	6	L	X		Sommaire du match
49	308	New York Islanders	4	Detroit Red Wings	6	L			Sommaire du match
51	330	St. Louis Blues	2	New York Islanders	3	W	X	X	Sommaire du match
53	341	Detroit Red Wings	2	New York Islanders	3	W			Sommaire du match
55	353	Boston Bruins	1	New York Islanders	3	W			Sommaire du match
57	366	New York Islanders	3	Washington Capitals	4	L			Sommaire du match
58	383	Buffalo Sabres	0	New York Islanders	4	W			Sommaire du match
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	67,945	58,131	35,286	44,000	12,090
Attendance PCT	98.04%	99.71%	97.21%	100.00%	99.92%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
30	19768 - 98.84%	1,771,799$	19,489,787$	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
24,017,912$	79,159,999$	82,110,000$	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
376,447$	21,995,838$	0$	20	1

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
53,153,965$	139	423,147$	58,817,433$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
60,425,361$	42,954,738$	37,584,274$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
74,321,971$	9,178,029$	83,500,000$	12,621,971$

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.

[11/20/2024 9:39:08 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:70.81.109.165 .
[11/19/2024 7:36:19 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:24.114.104.241 .
[11/19/2024 7:36:19 AM] Fredrik Olofsson of New York Islanders was sent down to farm.
[11/18/2024 8:06:13 AM] 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.
[11/18/2024 8:06:01 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:70.26.233.47 .
[11/18/2024 8:06:01 AM] Fredrik Olofsson of New York Islanders was sent to pro.
[11/16/2024 10:55:40 AM] Ryan O'Reilly from New York Islanders is back from Bruised Right Foot Injury.
[11/16/2024 10:55:40 AM] Game 341 - Ryan O'Reilly from New York Islanders is injured (Bruised Right Foot) and is out for 3 days.
[11/16/2024 10:50:55 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:70.26.233.47 .
[11/14/2024 8:14:55 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:70.26.233.47 .
[11/14/2024 8:14:55 AM] Lukas Rousek of New York Islanders was sent to pro.
[11/13/2024 7:30:39 AM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[11/13/2024 7:30:39 AM] Game 350 - Unknown Player from Bridgeport Islanders is injured (Sprained Left Ankle) and is out for 5 days.
[11/12/2024 7:16:12 AM] 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.
[11/12/2024 7:16:12 AM] Game 308 - Brent Burns from New York Islanders is injured (Broken Right Thumb) and is out for 2 weeks.
[11/12/2024 7:14:49 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:70.26.233.47 .
[11/9/2024 10:23:39 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:76.71.218.54 .
[11/8/2024 7:11:38 AM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[11/8/2024 7:10:38 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:96.22.162.7 .
[11/7/2024 7:20:52 AM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[11/6/2024 7:19:52 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:45.45.49.79 .
[11/4/2024 7:14:20 AM] 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.
[11/4/2024 7:14:03 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:76.65.187.28 .
[11/3/2024 7:09:03 AM] Bridgeport Islanders lines for next game are empty. Current rosters/lines are not erased.
[11/3/2024 7:08:31 AM] Successfully loaded New York Islanders lines done with Web Base Client from IP:76.71.218.54 .
[11/3/2024 7:08:30 AM] Fredrik Olofsson of New York Islanders was sent down to farm.

Brent Burns est dehors pour 5 jours à cause de Broken Right Thumb Injury.

New York Islanders Leaders statistiques des joueurs (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

New York 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

New York 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

New York Islanders Leaders statistiques des joueurs (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	PSG	PSS

New York 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	PS %	PSA

	New York Islanders
	GP: 25 \| W: 17 \| L: 7 \| OTL: 1 \| P: 35 GF: 88 \| GA: 72 \| PP%: 22.58% \| PK%: 84.52% DG: Dave Bergeron \| Morale : 65 \| Moyenne d’équipe : N/A Prochains matchs #398 vs Montreal Canadiens