Bridgeport Sound Tigers
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	New York Islanders 11-4-0, 22pts	4	FINAL	1	Tampa Bay Lightning 4-11-1, 9pts

Team Stats
W3	Séquence	L3
6-2-0	Fiche domicile	2-5-0
5-2-0	Fiche visiteur	2-6-1
6-4-0	Derniers 10 matchs	2-7-1
2.53	Buts par match	1.50
1.80	Buts contre par match	3.06
14.71%	Pourcentage en avantage numérique	11.43%
74.29%	Pourcentage en désavantage numérique	73.47%

Carolina Hurricanes
7-8-2, 16pts

FINAL

New York Islanders
11-4-0, 22pts

Team Stats
L1	Séquence	W3
2-5-1	Fiche domicile	6-2-0
5-3-1	Fiche visiteur	5-2-0
4-4-2	Derniers 10 matchs	6-4-0
2.71	Buts par match	2.53
2.76	Buts contre par match	1.80
17.78%	Pourcentage en avantage numérique	14.71%
81.13%	Pourcentage en désavantage numérique	74.29%

New York Islanders
11-4-0, 22pts

Jour 33

Washington Capitals
6-7-5, 17pts

Statistiques d’équipe
W3	Séquence	W2
6-2-0	Fiche domicile	1-5-2
5-2-0	Fiche visiteur	5-2-3
6-4-0	10 derniers matchs	4-4-2
2.53	Buts par match	2.61
1.80	Buts contre par match	2.61
14.71%	Pourcentage en avantage numérique	22.92%
74.29%	Pourcentage en désavantage numérique	83.33%

Washington Capitals
6-7-5, 17pts

Jour 35

New York Islanders
11-4-0, 22pts

Statistiques d’équipe
W2	Séquence	W3
1-5-2	Fiche domicile	6-2-0
5-2-3	Fiche visiteur	5-2-0
4-4-2	10 derniers matchs	6-4-0
2.61	Buts par match	2.53
3.17	Buts contre par match	2.53
22.92%	Pourcentage en avantage numérique	14.71%
83.33%	Pourcentage en désavantage numérique	74.29%

New York Islanders
11-4-0, 22pts

Jour 36

Vegas Golden Knights
7-7-2, 16pts

Statistiques d’équipe
W3	Séquence	W2
6-2-0	Fiche domicile	4-4-0
5-2-0	Fiche visiteur	3-3-2
6-4-0	10 derniers matchs	3-6-1
2.53	Buts par match	3.13
1.80	Buts contre par match	3.13
14.71%	Pourcentage en avantage numérique	20.00%
74.29%	Pourcentage en désavantage numérique	75.00%

Meneurs d'équipe
	Buts Nathan MacKinnon 10	Passes Connor McDavid 11

	Points Connor McDavid 17	Plus/Moins Nathan MacKinnon 7

	Victoires Cam Talbot 11	Pourcentage d’arrêts Cam Talbot 0.93

Statistiques d’équipe
Buts pour 38 2.53 GFG	Tirs pour 333 22.20 Avg	Pourcentage en avantage numérique 14.7% 5 GF	Début de zone offensive 33.3%
Buts contre 27 1.80 GAA	Tirs contre 373 24.87 Avg	Pourcentage en désavantage numérique 74.3%% 9 GA	Début de la zone défensive 41.8%

Informations de l'équipe
	Directeur général	Matt Pace
	Entraîneur	Dan Bylsma
	Division	Metropolitan Division
	Conférence	Eastern Conference
	Capitaine	Connor McDavid
	Assistant #1	Jack Eichel
	Assistant #2	Nathan MacKinnon
Informations de l’aréna
	Nom	Nassau Coliseum
	Capacité	13,917
	Assistance	13,554
	Billets de saison	9,742
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	28
	Limite contact	50 / 65
	Espoirs	3
Plafond salarial
	Cap Salarial de la Saison estimé	84,325,038$
	Plafond salarial disponible	3,674,962$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	17,091,180$
	Dépenses annuelles à ce jour	19,773,920$
	Revenus de la saison estimés	70,501,118$
	Dépenses de la saison estimées	65,501,110$
	Compte bancaire actuel	26,967,519$
	Compte bancaire projeté	30,290,727$

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	Connor McDavid (C)	0	X		X		97.00	79	35	89	96	74	93	92	99	80	99	95	81	90	56	75	0	69	90	2	27	5	12,500,000$
2	Nathan MacKinnon (A)	0	X	X	X		100.00	59	35	86	95	77	96	99	99	78	99	93	71	94	64	81	0	70	89	2	29	14	12,600,000$
3	Aleksander Barkov	0	X				100.00	75	35	91	88	83	90	88	96	91	94	74	87	87	64	78	0	70	86	1	29	12	10,000,000$
4	Jack Eichel (A)	0	X				100.00	64	42	88	90	78	92	76	92	75	84	85	77	89	60	77	0	70	83	2	27	5	10,000,000$
5	Tim Stutzle	0		X			100.00	77	51	71	92	81	90	79	91	65	85	87	74	90	59	52	0	70	82	0	22	14	8,350,000$
6	Lars Eller	0	X				100.00	62	35	89	81	78	81	99	66	81	65	66	75	74	88	86	0	70	75	0	35	2	775,000$
7	Curtis Lazar	0	X		X		100.00	75	47	83	79	81	74	86	62	69	66	60	79	71	64	70	0	70	72	0	29	4	775,000$
8	Evgeny Kuznetsov	0	X				100.00	55	35	87	81	80	85	76	68	72	68	63	62	74	76	82	0	70	71	0	32	4	775,000$
9	Leo Carlsson (R)	0	X	X			100.00	61	35	92	83	73	86	66	73	56	71	68	68	77	45	58	0	70	70	0	19	5	950,000$
10	Trevor Lewis	0	X	X	X		100.00	57	35	93	75	77	72	99	56	59	59	60	73	69	96	86	0	70	70	0	37	2	775,000$
11	Matt Martin	0		X			100.00	78	71	80	76	89	67	69	51	55	57	58	74	66	88	79	0	70	68	0	35	2	775,000$
12	Rasmus Dahlin	0				X	100.00	83	35	78	90	78	99	98	91	40	79	79	90	77	45	73	0	70	85	0	24	1	6,000,000$
13	Ian Cole	0				X	100.00	58	51	79	80	87	88	94	62	40	61	52	87	58	88	89	0	70	79	0	35	1	3,000,000$
14	Kyle Burroughs	0				X	100.00	91	52	74	80	78	89	88	64	40	59	52	86	59	64	77	0	70	78	0	29	2	1,500,000$
15	Calvin de Haan	0				X	100.00	65	35	90	80	76	83	71	60	40	60	54	88	58	80	83	0	70	76	0	33	3	2,000,000$
16	Troy Stecher	0				X	100.00	63	35	84	81	71	86	65	62	40	60	51	87	58	68	78	0	70	75	0	30	1	775,000$
17	Luke Hughes (R)	0				X	100.00	54	35	90	86	67	94	99	76	40	80	63	69	66	45	63	0	70	74	0	21	3	925,000$
18	Chad Ruhwedel	0				X	100.00	68	35	97	76	76	75	63	55	40	57	50	82	55	84	81	0	54	73	0	34	3	1,500,000$
Rayé
1	Jack Hughes	0	X				100.00	63	35	94	92	65	92	75	93	55	93	82	68	88	45	67	0	53	81	0	23	12	8,000,000$
Équipe Mineure
1	Zach Benson (R)	0	X	X			100.00	54	35	86	81	60	79	86	66	55	67	63	67	73	45	53	0	42	67	0	19	5	950,000$
2	Pierre-Edouard Bellemare	0		X			100.00	52	35	95	72	76	69	60	51	74	55	57	67	66	99	88	0	41	66	0	39	4	775,000$
3	Patrick Brown (R)	38	X				100.00	56	35	94	75	84	66	60	50	55	50	47	62	62	76	73	0	41	61	0	32	1	775,000$
4	Chase De Leo	0	X		X		100.00	73	38	49	57	69	50	48	64	64	46	63	65	44	64	64	0	39	60	0	28	4	775,000$
5	Nikita Pavlychev (R)	0	X				100.00	55	51	70	68	60	61	67	63	42	55	54	51	57	60	60	0	42	59	0	28	1	775,000$
6	Anton Levtchi	0		X			100.00	52	39	66	68	63	47	67	51	53	52	58	61	44	64	64	0	41	59	0	28	4	775,000$
7	Matthew Peca	0	X	X			100.00	75	48	47	53	69	53	49	55	41	48	67	62	52	72	72	0	42	59	0	31	4	775,000$
8	Matthew Phillips (R)	0	X		X		100.00	43	35	99	76	50	69	60	52	55	57	53	57	65	52	62	0	38	59	0	26	1	775,000$
9	Connor Bleackley (R)	0	X				100.00	53	66	65	69	65	46	45	56	50	47	65	60	52	60	60	0	42	58	0	28	1	775,000$
10	Hudson Elynuik (R)	0	X				100.00	69	67	55	51	58	65	50	58	64	57	58	57	50	56	56	0	41	57	0	27	1	775,000$
11	Sheldon Dries	0	X				100.00	44	35	70	49	66	59	70	51	61	56	61	51	43	68	68	0	41	57	0	30	2	775,000$
12	Lane Pederson (R)	0	X				100.00	71	76	50	48	65	60	65	53	60	67	50	55	41	56	56	0	41	57	0	27	2	775,000$
13	Jason Polin	0			X		100.00	49	35	92	74	78	63	60	50	55	41	48	54	63	48	57	0	41	56	0	25	6	858,333$
14	Luke Stevens	0		X			100.00	62	40	68	58	67	62	60	54	40	53	53	57	55	53	50	0	41	56	0	27	1	775,000$
15	Zach Aston-Reese	11	X		X		100.00	41	35	82	72	80	58	60	50	55	41	41	50	60	68	65	0	41	55	0	30	4	775,000$
16	Anton Blidh	0		X			100.00	41	35	49	72	78	59	60	50	55	41	41	50	60	64	63	0	41	54	0	29	3	775,000$
17	Evan Barratt (R)	0	X				100.00	52	35	75	74	51	67	70	51	53	47	46	46	55	60	48	0	30	54	0	25	1	775,000$
18	Billy Sweezey	0				X	100.00	58	58	63	65	68	61	50	58	58	69	63	47	51	60	60	0	43	60	0	28	4	775,000$
19	Shea Weber	0				X	100.00	37	66	69	51	70	65	61	65	48	42	63	43	42	99	99	0	45	59	0	39	1	800,000$
20	Connor Carrick	0				X	100.00	50	53	52	51	71	50	64	51	46	62	64	54	43	68	68	0	47	58	0	30	2	775,000$
21	Kevin Connauton	0				X	100.00	41	44	70	47	66	63	65	64	60	67	50	45	42	84	84	0	38	58	0	34	4	775,000$
22	Brandon Scanlin (R)	0				X	100.00	41	35	99	74	88	71	60	50	40	41	38	50	49	48	61	0	41	58	0	25	4	775,000$
23	Libor Hajek (R)	0				X	100.00	70	45	52	57	67	45	50	61	48	60	50	56	40	52	52	0	39	57	0	26	4	775,000$
24	Keaton Middleton (R)	0				X	100.00	64	38	59	66	69	64	64	63	54	50	46	42	58	52	52	0	41	56	0	26	2	775,000$
25	Kevin Gravel	0				X	100.00	41	48	69	48	62	59	63	53	48	41	44	53	50	76	76	0	42	54	0	32	3	900,000$
26	Zachary Senyshyn	0			X		100.00	56	55	55	55	55	55	55	55	50	55	55	55	55	50	50	0	35	54	0	27	1	800,000$

	MOYENNE D’ÉQUIPE						99.93	60	43	76	72	72	71	70	64	56	61	60	64	62	65	69	0	52	66

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	Cam Talbot	0	100.00	90	95	95	90	90	91	90	88	90	90	82	90	99	0	74	91	0	37	2	800,000$
2	James Reimer	0	100.00	87	75	83	91	81	83	84	83	84	84	81	87	82	0	74	84	0	36	4	775,000$
Rayé
1	Casey DeSmith	0	100.00	85	78	84	84	83	85	86	84	86	86	76	77	75	0	50	83	0	33	4	775,000$
Équipe Mineure
1	Aaron Dell	0	100.00	65	64	55	52	64	63	57	45	65	52	57	69	46	0	46	58	0	35	1	775,000$
2	Jon Gillies	0	100.00	70	69	65	79	69	66	65	62	67	68	70	65	58	0	37	67	0	30	1	775,000$

	MOYENNE D’ÉQUIPE		100.00	79	76	76	79	77	78	76	72	78	76	73	78	72	0	56	77

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dan Bylsma	80	80	80	80	80	80	80	USA	59	10	950,000$

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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Connor McDavid	New York Islanders	C/RW	15	6	11	17	6	4	0	27	26	50	21	30	12.00%	9	369	24.61	2	1	3	6	32	0	31	2	0	52.21%	385	14	9	0.92	4	0	2
2	Nathan MacKinnon	New York Islanders	C/LW/RW	15	10	5	15	7	2	0	14	10	50	12	30	20.00%	3	324	21.61	1	3	4	6	32	0	32	3	2	52.17%	23	9	5	0.93	2	4	2
3	Aleksander Barkov	New York Islanders	C	15	5	6	11	1	2	0	21	19	53	16	29	9.43%	3	286	19.11	0	1	1	3	25	0	15	1	0	56.38%	149	10	4	0.77	1	0	0
4	Tim Stutzle	New York Islanders	LW	15	7	3	10	2	4	0	21	13	25	10	24	28.00%	2	268	17.89	1	0	1	2	25	0	0	1	2	50.00%	4	4	2	0.75	1	2	0
5	Jack Eichel	New York Islanders	C	15	3	4	7	6	4	0	15	22	42	12	12	7.14%	4	211	14.13	0	0	0	1	0	2	13	1	0	38.46%	78	6	3	0.66	0	1	2
6	Leo Carlsson	New York Islanders	C/LW	15	3	4	7	6	0	0	11	14	16	8	12	18.75%	2	218	14.59	0	0	0	0	0	2	14	1	0	38.46%	13	1	7	0.64	1	0	1
7	Rasmus Dahlin	New York Islanders	D	15	1	5	6	2	18	0	35	22	16	7	13	6.25%	12	396	26.41	1	0	1	2	34	0	27	0	0	0%	0	8	14	0.30	0	1	0
8	Curtis Lazar	New York Islanders	C/RW	15	1	5	6	7	8	0	19	14	9	1	2	11.11%	6	290	19.38	0	2	2	1	31	0	0	1	0	59.09%	22	0	3	0.41	0	0	0
9	Calvin de Haan	New York Islanders	D	15	0	4	4	5	0	0	16	17	9	3	5	0%	6	303	20.24	0	0	0	0	25	0	22	0	0	0%	0	1	11	0.26	0	0	1
10	Troy Stecher	New York Islanders	D	15	0	3	3	7	0	0	10	15	5	1	0	0%	9	192	12.86	0	0	0	0	0	0	0	0	0	0%	0	1	14	0.31	0	0	0
11	Luke Hughes	New York Islanders	D	15	1	1	2	7	0	0	2	14	5	1	3	20.00%	3	210	14.01	0	0	0	0	0	0	15	1	0	0%	0	3	5	0.19	0	1	0
12	Lars Eller	New York Islanders	C	15	0	2	2	4	2	0	9	10	6	1	2	0%	3	117	7.82	0	0	0	0	3	0	0	0	0	71.43%	7	2	1	0.34	0	0	0
13	Trevor Lewis	New York Islanders	C/LW/RW	15	0	2	2	2	0	0	10	19	8	4	9	0%	0	276	18.44	0	0	0	1	25	0	6	0	0	52.94%	17	0	3	0.14	0	0	0
14	Jack Hughes	New York Islanders	C	9	1	1	2	2	2	0	8	11	18	4	13	5.56%	3	138	15.35	0	0	0	0	0	0	0	0	0	35.00%	20	5	1	0.29	1	0	0
15	Ian Cole	New York Islanders	D	15	0	1	1	3	6	0	10	24	8	7	6	0%	20	397	26.50	0	1	1	0	34	0	31	0	0	0%	0	0	23	0.05	0	0	0
16	Kyle Burroughs	New York Islanders	D	15	0	0	0	5	19	5	23	14	8	1	4	0%	12	299	19.99	0	0	0	1	25	0	18	0	0	0%	0	5	13	0	0	0	0
17	Evgeny Kuznetsov	New York Islanders	C	15	0	0	0	2	2	0	3	3	5	0	2	0%	2	58	3.87	0	0	0	0	1	0	0	0	0	52.94%	17	1	0	0	0	0	0
18	Matt Martin	New York Islanders	LW	15	0	0	0	-1	0	0	7	3	0	1	0	0%	1	77	5.14	0	0	0	0	0	0	0	0	0	0%	1	1	1	0	0	0	0
19	Chad Ruhwedel	New York Islanders	D	6	0	0	0	0	0	0	0	0	0	0	0	0%	0	3	0.53	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				270	38	57	95	73	73	5	261	270	333	110	196	11.41%	100	4440	16.45	5	8	13	23	300	4	231	11	4	51.22%	736	71	119	0.43	10	9	8

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Cam Talbot	New York Islanders	15	11	4	0	0.930	1.74	898	0	0	26	372	152	0	1	0	0	15	0	1	1	1
Statistiques d’équipe totales ou en moyenne			15	11	4	0	0.930	1.74	898	0	0	26	372	152	0	1		0	15	0	1	1	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	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	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
Aleksander Barkov (contrat à 1 volet)	New York Islanders	C	29	1995-09-02	No	215 Lbs	6 ft3	No	No	N/A		No	No	12		False	False	Pro & Farm	10,000,000$	10,000,000$	7,681,159$	No	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	10,000,000$	No	No	No	No	No	No	No	No	No	Lien / Lien NHL
Calvin de Haan	New York Islanders	D	33	1991-05-09	No	195 Lbs	6 ft1	No	No	Trade	2024-07-13	No	Yes	3	2024-01-28	False	False	Pro & Farm	2,000,000$	2,000,000$	1,536,232$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Cam Talbot	New York Islanders	G	37	1987-07-05	No	196 Lbs	6 ft4	No	No	N/A		No	Yes	2		False	False	Pro & Farm	800,000$	800,000$	614,493$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Casey DeSmith	New York Islanders	G	33	1991-08-13	No	181 Lbs	6 ft0	No	No	Assign Manually	2024-03-31	No	No	4	2024-07-29	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Chad Ruhwedel	New York Islanders	D	34	1990-05-07	No	191 Lbs	5 ft11	No	No	Trade	2024-07-13	No	No	3	2024-01-28	False	False	Pro & Farm	1,500,000$	1,500,000$	1,152,174$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Connor McDavid (contrat à 1 volet)	New York Islanders	C/RW	27	1997-01-13	No	193 Lbs	6 ft1	No	No	N/A		No	No	5		False	False	Pro & Farm	12,500,000$	12,500,000$	9,601,449$	No	12,500,000$	12,500,000$	12,500,000$	12,500,000$	-	-	-	-	-	12,500,000$	12,500,000$	12,500,000$	12,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
Curtis Lazar	New York Islanders	C/RW	29	1995-02-02	No	203 Lbs	6 ft0	No	No	Assign Manually	2024-02-18	No	Yes	4	2024-07-29	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Evgeny Kuznetsov (contrat à 1 volet)	New York Islanders	C	32	1992-05-19	No	207 Lbs	6 ft2	No	No	Assign Manually		No	Yes	4	2024-08-05	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Ian Cole (contrat à 1 volet)	New York Islanders	D	35	1989-02-21	No	225 Lbs	6 ft1	No	No	Trade	2024-07-13	No	No	1	2024-01-11	False	False	Pro & Farm	3,000,000$	3,000,000$	2,304,348$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jack Eichel (contrat à 1 volet)	New York Islanders	C	27	1996-10-28	No	207 Lbs	6 ft2	No	No	N/A		No	No	5		False	False	Pro & Farm	10,000,000$	10,000,000$	7,681,159$	No	10,000,000$	10,000,000$	10,000,000$	10,000,000$	-	-	-	-	-	10,000,000$	10,000,000$	10,000,000$	10,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
Jack Hughes (contrat à 1 volet)	New York Islanders	C	23	2001-05-14	No	175 Lbs	5 ft11	No	No	N/A		No	No	12		False	False	Pro & Farm	8,000,000$	8,000,000$	6,144,928$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	No	No	No	No	No	No	No	No	No	Lien / Lien NHL
James Reimer (contrat à 1 volet)	New York Islanders	G	36	1988-03-15	No	205 Lbs	6 ft3	No	No	Assign Manually	2024-03-24	No	No	4	2024-07-28	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Kyle Burroughs	New York Islanders	D	29	1995-07-12	No	193 Lbs	6 ft0	No	No	Trade	2024-07-13	No	No	2		False	False	Pro & Farm	1,500,000$	1,500,000$	1,152,174$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Lars Eller	New York Islanders	C	35	1989-05-08	No	205 Lbs	6 ft2	No	No	N/A		No	Yes	2		False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Leo Carlsson	New York Islanders	C/LW	19	2004-12-26	Yes	194 Lbs	6 ft3	No	No	Draft		No	No	5	2024-01-20	False	False	Pro & Farm	950,000$	950,000$	729,710$	No	950,000$	950,000$	950,000$	950,000$	-	-	-	-	-	950,000$	950,000$	950,000$	950,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Luke Hughes	New York Islanders	D	21	2003-09-09	Yes	184 Lbs	6 ft2	No	No	Prospect		No	No	3	2024-01-20	False	False	Pro & Farm	925,000$	925,000$	710,507$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Matt Martin	New York Islanders	LW	35	1989-05-08	No	220 Lbs	6 ft3	No	No	N/A		No	Yes	2		False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Nathan MacKinnon (contrat à 1 volet)	New York Islanders	C/LW/RW	29	1995-09-01	No	200 Lbs	6 ft0	No	No	N/A		No	No	14	2024-07-21	False	False	Pro & Farm	12,600,000$	12,600,000$	9,678,261$	No	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	12,600,000$	No	No	No	No	No	No	No	No	No	Lien / Lien NHL
Rasmus Dahlin (contrat à 1 volet)	New York Islanders	D	24	2000-04-13	No	202 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	6,000,000$	6,000,000$	4,608,696$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Tim Stutzle (contrat à 1 volet)	New York Islanders	LW	22	2002-01-15	No	193 Lbs	6 ft0	No	No	N/A		No	No	14	2024-07-21	False	False	Pro & Farm	8,350,000$	8,350,000$	6,413,768$	No	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	8,350,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Trevor Lewis	New York Islanders	C/LW/RW	37	1987-01-08	No	201 Lbs	6 ft1	No	No	N/A		No	Yes	2		False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Troy Stecher	New York Islanders	D	30	1994-04-07	No	184 Lbs	5 ft10	No	No	N/A		No	Yes	1		False	False	Pro & Farm	775,000$	775,000$	595,290$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	29.82	199 Lbs	6 ft1	4.77	3,832,955$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
84,325,000$	74,550,000$	69,925,000$	65,500,000$	62,400,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nathan MacKinnon	Connor McDavid	Curtis Lazar	40	1	2	2
2	Tim Stutzle	Aleksander Barkov	Trevor Lewis	30	1	2	2
3	Leo Carlsson	Jack Eichel	Lars Eller	20	1	2	2
4	Matt Martin	Evgeny Kuznetsov	Connor McDavid	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Rasmus Dahlin	Ian Cole	40	1	2	2
2	Kyle Burroughs	Calvin de Haan	30	1	2	2
3	Troy Stecher	Luke Hughes	20	1	2	2
4	Rasmus Dahlin	Ian Cole	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nathan MacKinnon	Connor McDavid	Curtis Lazar	60	1	2	2
2	Tim Stutzle	Aleksander Barkov	Trevor Lewis	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Rasmus Dahlin	Ian Cole	60	1	2	2
2	Kyle Burroughs	Calvin de Haan	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Connor McDavid	Nathan MacKinnon	60	1	2	2
2	Aleksander Barkov	Jack Eichel	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Rasmus Dahlin	Ian Cole	60	1	2	2
2	Kyle Burroughs	Calvin de Haan	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Connor McDavid	60	1	2	2	Rasmus Dahlin	Ian Cole	60	1	2	2
2	Nathan MacKinnon	40	1	2	2	Kyle Burroughs	Calvin de Haan	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Connor McDavid	Nathan MacKinnon	60	1	2	2
2	Aleksander Barkov	Jack Eichel	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Rasmus Dahlin	Ian Cole	60	1	2	2
2	Kyle Burroughs	Calvin de Haan	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nathan MacKinnon	Connor McDavid	Curtis Lazar	Rasmus Dahlin	Ian Cole

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nathan MacKinnon	Connor McDavid	Curtis Lazar	Rasmus Dahlin	Ian Cole

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Lars Eller, Evgeny Kuznetsov, Leo Carlsson	Lars Eller, Evgeny Kuznetsov	Leo Carlsson

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Troy Stecher, Luke Hughes, Kyle Burroughs	Troy Stecher	Luke Hughes, Kyle Burroughs

Tirs de pénalité
Connor McDavid, Nathan MacKinnon, Aleksander Barkov, Jack Eichel, Tim Stutzle

Gardien
#1 : Cam Talbot, #2 : James Reimer

Lignes d’attaque personnalisées en prolongation
Connor McDavid, Nathan MacKinnon, Aleksander Barkov, Jack Eichel, Tim Stutzle, Trevor Lewis, Trevor Lewis, Lars Eller, Curtis Lazar, Evgeny Kuznetsov, Leo Carlsson

Lignes de défense personnalisées en prolongation
Rasmus Dahlin, Ian Cole, Kyle Burroughs, Calvin de Haan, Troy Stecher

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	Carolina Hurricanes	2	1	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	2	4	6	0	0	0	1	1	0	46	6	19	21	0	54	16	10	27	7	0	0.00%	5	1	80.00%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	40	22	43	18	36	18
2	Columbus Blue Jackets	2	0	2	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	2	4	0	0	0	1	1	0	40	7	16	17	0	50	10	6	41	4	1	25.00%	3	1	66.67%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	43	25	37	17	38	19
3	New Jersey Devils	3	3	0	0	0	0	0	0	9	6	3	0	0	0	0	0	0	0	0	0	0	0	3	3	0	0	0	0	0	0	9	6	3	6	1.000	9	13	22	0	0	2	2	5	0	78	24	28	26	0	71	22	8	43	8	1	12.50%	4	1	75.00%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	63	35	61	26	54	27
4	New York Rangers	3	3	0	0	0	0	0	0	11	3	8	3	3	0	0	0	0	0	0	11	3	8	0	0	0	0	0	0	0	0	0	0	0	6	1.000	11	18	29	0	0	4	4	3	0	65	18	21	26	0	81	14	14	44	8	3	37.50%	7	1	85.71%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	62	37	66	26	50	25
5	Philadelphia Flyers	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	1	0	1	0	0	0	21	8	11	2	0	31	7	6	12	1	0	0.00%	3	1	66.67%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	21	12	19	9	18	8
6	Pittsburgh Penguins	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	6	9	0	0	1	2	0	0	21	3	6	12	0	26	10	4	21	2	0	0.00%	2	1	50.00%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	20	11	21	9	17	9
7	St. Louis Blues	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	6	10	0	0	0	3	1	0	17	5	8	4	0	18	5	11	32	2	0	0.00%	4	2	50.00%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	23	12	16	9	20	9
8	Tampa Bay Lightning	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	5	9	0	0	1	0	3	0	22	2	5	15	0	21	8	10	29	1	0	0.00%	5	1	80.00%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	20	11	20	9	19	9
9	Washington Capitals	1	0	0	0	1	0	0	0	2	1	1	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	2	4	0	0	0	1	0	1	23	5	6	10	2	21	8	4	12	1	0	0.00%	2	0	100.00%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	22	12	20	8	18	9
	Total	15	10	4	0	1	0	0	0	38	27	11	8	5	2	0	1	0	0	0	21	12	9	7	5	2	0	0	0	0	0	17	15	2	22	0.733	38	57	95	1	0	9	14	14	1	333	78	120	133	2	373	100	73	261	34	5	14.71%	35	9	74.29%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	318	181	308	136	273	138
	_Since Last GM Reset	15	10	4	0	1	0	0	0	38	27	11	8	5	2	0	1	0	0	0	21	12	9	7	5	2	0	0	0	0	0	17	15	2	22	0.733	38	57	95	1	0	9	14	14	1	333	78	120	133	2	373	100	73	261	34	5	14.71%	35	9	74.29%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	318	181	308	136	273	138
	_Vs Conference	14	9	4	0	1	0	0	0	34	25	9	7	4	2	0	1	0	0	0	17	10	7	7	5	2	0	0	0	0	0	17	15	2	20	0.714	34	51	85	1	0	9	11	13	1	316	73	112	129	2	355	95	62	229	32	5	15.63%	31	7	77.42%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	295	168	291	126	253	128
	_Vs Division	13	8	4	0	1	0	0	0	30	24	6	7	4	2	0	1	0	0	0	17	10	7	6	4	2	0	0	0	0	0	13	14	-1	18	0.692	30	46	76	1	0	8	11	10	1	294	71	107	114	2	334	87	52	200	31	5	16.13%	26	6	76.92%	0	115	245	46.94%	164	307	53.42%	98	183	53.55%	274	157	271	116	233	119

			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
15	22	W3	38	57	95	333	373	100	73	261	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	10	4	1	0	0	0	38	27

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	2	1	0	0	0	21	12

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	5	2	0	0	0	0	17	15

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	4	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
34	5	14.71%	35	9	74.29%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
78	120	133	2	9	14	14	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
115	245	46.94%	164	307	53.42%	98	183	53.55%

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
318	181	308	136	273	138

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	Lien
1	1	New York Islanders	3	Pittsburgh Penguins	2	W		Sommaire du match
11	13	New York Rangers	1	New York Islanders	3	W		Sommaire du match
12	30	New York Islanders	4	New Jersey Devils	3	W		Sommaire du match
15	49	New York Rangers	1	New York Islanders	2	W		Sommaire du match
16	70	New York Islanders	2	New Jersey Devils	1	W		Sommaire du match
17	82	Columbus Blue Jackets	2	New York Islanders	1	L		Sommaire du match
19	100	New York Islanders	0	Carolina Hurricanes	3	L		Sommaire du match
20	115	New York Rangers	1	New York Islanders	6	W		Sommaire du match
22	139	Washington Capitals	1	New York Islanders	2	W	X	Sommaire du match
24	159	New York Islanders	1	Columbus Blue Jackets	3	L		Sommaire du match
25	175	New York Islanders	3	New Jersey Devils	2	W		Sommaire du match
27	189	Philadelphia Flyers	3	New York Islanders	1	L		Sommaire du match
28	209	St. Louis Blues	2	New York Islanders	4	W		Sommaire du match
31	230	New York Islanders	4	Tampa Bay Lightning	1	W		Sommaire du match
32	244	Carolina Hurricanes	1	New York Islanders	2	W		Sommaire du match
33	258	New York Islanders	-	Washington Capitals	-
35	272	Washington Capitals	-	New York Islanders	-
36	287	New York Islanders	-	Vegas Golden Knights	-
38	302	Columbus Blue Jackets	-	New York Islanders	-
40	323	New York Islanders	-	Chicago Blackhawks	-
41	336	Arizona Coyotes	-	New York Islanders	-
43	358	New York Islanders	-	Minnesota Wild	-
44	368	New York Islanders	-	Columbus Blue Jackets	-
45	382	Toronto Maple Leafs	-	New York Islanders	-
47	401	Philadelphia Flyers	-	New York Islanders	-
48	409	New York Islanders	-	New York Rangers	-
49	431	Columbus Blue Jackets	-	New York Islanders	-
51	447	New York Islanders	-	Columbus Blue Jackets	-
52	461	New York Islanders	-	Los Angeles Kings	-
54	474	New York Rangers	-	New York Islanders	-
56	493	Carolina Hurricanes	-	New York Islanders	-
57	512	New York Islanders	-	Carolina Hurricanes	-
58	516	New York Islanders	-	Philadelphia Flyers	-
60	540	New York Islanders	-	St. Louis Blues	-
61	548	Pittsburgh Penguins	-	New York Islanders	-
64	587	New York Islanders	-	Boston Bruins	-
66	603	New York Islanders	-	Ottawa Senators	-
67	610	New Jersey Devils	-	New York Islanders	-
69	636	New York Islanders	-	St. Louis Blues	-
70	642	Detroit Red Wings	-	New York Islanders	-
72	667	Ottawa Senators	-	New York Islanders	-
74	684	New York Islanders	-	Dallas Stars	-
75	696	Vancouver Canucks	-	New York Islanders	-
77	717	Montreal Canadiens	-	New York Islanders	-
79	731	New York Islanders	-	Montreal Canadiens	-
80	744	Pittsburgh Penguins	-	New York Islanders	-
81	748	San Jose Sharks	-	New York Islanders	-
83	766	New York Islanders	-	Pittsburgh Penguins	-
84	778	New York Islanders	-	Florida Panthers	-
86	792	Arizona Coyotes	-	New York Islanders	-
88	813	Tampa Bay Lightning	-	New York Islanders	-
89	830	New York Islanders	-	New Jersey Devils	-
91	846	Nashville Predators	-	New York Islanders	-
92	860	New York Islanders	-	Toronto Maple Leafs	-
94	877	Calgary Flames	-	New York Islanders	-
95	894	New York Islanders	-	Carolina Hurricanes	-
96	902	New York Islanders	-	Pittsburgh Penguins	-
98	919	Anaheim Ducks	-	New York Islanders	-
100	938	Boston Bruins	-	New York Islanders	-
102	960	New York Islanders	-	Winnipeg Jets	-
103	973	New Jersey Devils	-	New York Islanders	-
105	991	New York Islanders	-	New York Rangers	-
106	999	Carolina Hurricanes	-	New York Islanders	-
107	1013	New York Islanders	-	Tampa Bay Lightning	-
109	1036	Washington Capitals	-	New York Islanders	-
110	1046	New York Islanders	-	Edmonton Oilers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
112	1063	New York Islanders	-	New York Rangers	-
113	1076	New York Rangers	-	New York Islanders	-
115	1100	Pittsburgh Penguins	-	New York Islanders	-
117	1114	New York Islanders	-	Washington Capitals	-
119	1132	Florida Panthers	-	New York Islanders	-
120	1142	New York Islanders	-	Tampa Bay Lightning	-
121	1156	New York Islanders	-	Buffalo Sabres	-
122	1174	Seattle Kraken	-	New York Islanders	-
125	1197	New Jersey Devils	-	New York Islanders	-
127	1220	Buffalo Sabres	-	New York Islanders	-
128	1224	New York Islanders	-	Philadelphia Flyers	-
130	1244	New York Islanders	-	Washington Capitals	-
131	1251	New York Islanders	-	Philadelphia Flyers	-
132	1272	Colorado Avalanche	-	New York Islanders	-
135	1288	New York Islanders	-	Detroit Red Wings	-
136	1296	Philadelphia Flyers	-	New York Islanders	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	4683	4000	2000	2404	830
Prix des billets	150	85	50	45	300
Assistance	35,918	32,000	15,551	19,232	5,733
Attendance PCT	95.87%	100.00%	97.19%	100.00%	86.34%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
33	13554 - 97.39%	2,136,398$	17,091,180$	13917	90

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
19,773,920$	84,325,000$	84,325,000$	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
611,051$	19,553,632$	0$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
70,501,118$	106	617,935$	65,501,110$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
67,177,910$	26,967,519$	30,290,727$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
84,325,038$	3,674,962$	88,000,000$	16,325,038$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Nathan MacKinnon	AGE:29	PO:0	OV:89
Tim Stutzle	AGE:22	PO:0	OV:82
Leo Carlsson (R)	AGE:19	PO:0	OV:70
Trevor Lewis	AGE:37	PO:0	OV:70
Matt Martin	AGE:35	PO:0	OV:68
Zach Benson (R)	AGE:19	PO:0	OV:67
Pierre-Edouard Bellemare	AGE:39	PO:0	OV:66
Anton Levtchi	AGE:28	PO:0	OV:59
Matthew Peca	AGE:31	PO:0	OV:59
Luke Stevens	AGE:27	PO:0	OV:56
Anton Blidh	AGE:29	PO:0	OV:54

Connor McDavid	AGE:27	PO:0	OV:90
Nathan MacKinnon	AGE:29	PO:0	OV:89
Aleksander Barkov	AGE:29	PO:0	OV:86
Jack Eichel	AGE:27	PO:0	OV:83
Jack Hughes	AGE:23	PO:0	OV:81
Lars Eller	AGE:35	PO:0	OV:75
Curtis Lazar	AGE:29	PO:0	OV:72
Evgeny Kuznetsov	AGE:32	PO:0	OV:71
Leo Carlsson (R)	AGE:19	PO:0	OV:70
Trevor Lewis	AGE:37	PO:0	OV:70
Zach Benson (R)	AGE:19	PO:0	OV:67
Patrick Brown (R)	AGE:32	PO:0	OV:61
Chase De Leo	AGE:28	PO:0	OV:60
Nikita Pavlychev (R)	AGE:28	PO:0	OV:59
Matthew Peca	AGE:31	PO:0	OV:59
Matthew Phillips (R)	AGE:26	PO:0	OV:59
Connor Bleackley (R)	AGE:28	PO:0	OV:58
Hudson Elynuik (R)	AGE:27	PO:0	OV:57
Sheldon Dries	AGE:30	PO:0	OV:57
Lane Pederson (R)	AGE:27	PO:0	OV:57
Zach Aston-Reese	AGE:30	PO:0	OV:55
Evan Barratt (R)	AGE:25	PO:0	OV:54

Connor McDavid	AGE:27	PO:0	OV:90
Nathan MacKinnon	AGE:29	PO:0	OV:89
Curtis Lazar	AGE:29	PO:0	OV:72
Trevor Lewis	AGE:37	PO:0	OV:70
Chase De Leo	AGE:28	PO:0	OV:60
Matthew Phillips (R)	AGE:26	PO:0	OV:59
Jason Polin	AGE:25	PO:0	OV:56
Zach Aston-Reese	AGE:30	PO:0	OV:55
Zachary Senyshyn	AGE:27	PO:0	OV:54

Défense #1

Défense #2

Gardien

Rasmus Dahlin	AGE:24	PO:0	OV:85
Ian Cole	AGE:35	PO:0	OV:79
Kyle Burroughs	AGE:29	PO:0	OV:78
Calvin de Haan	AGE:33	PO:0	OV:76
Troy Stecher	AGE:30	PO:0	OV:75
Luke Hughes (R)	AGE:21	PO:0	OV:74
Chad Ruhwedel	AGE:34	PO:0	OV:73
Billy Sweezey	AGE:28	PO:0	OV:60

Shea Weber	AGE:39	PO:0	OV:59
Connor Carrick	AGE:30	PO:0	OV:58
Kevin Connauton	AGE:34	PO:0	OV:58
Brandon Scanlin (R)	AGE:25	PO:0	OV:58
Libor Hajek (R)	AGE:26	PO:0	OV:57
Keaton Middleton (R)	AGE:26	PO:0	OV:56
Kevin Gravel	AGE:32	PO:0	OV:54

Cam Talbot	AGE:37	PO:0	OV:91
James Reimer	AGE:36	PO:0	OV:84
Casey DeSmith	AGE:33	PO:0	OV:83
Jon Gillies	AGE:30	PO:0	OV:67
Aaron Dell	AGE:35	PO:0	OV:58

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	Lien
Cole Hutson	New York Islanders	2024	17	Lien
Matvei Michkov	New York Islanders	2023	2	Lien
William Smith	New York Islanders	2023	5	Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22
24
25
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

New York Islanders Historique de transactions

[8/15/2024 3:42:46 PM] - TRADE : From Vegas Golden Knights to New York Islanders : Kevin Gravel (54).
[8/15/2024 3:42:46 PM] - TRADE : From New York Islanders to Vegas Golden Knights : $10,000 (Money).
[8/15/2024 3:41:56 PM] - TRADE : From New York Islanders to Calgary Flames : $30,000 (Money).
[8/15/2024 3:41:56 PM] - TRADE : From Calgary Flames to New York Islanders : Matthew Phillips (59), Lane Pederson (57), Keaton Middleton (56).
[8/15/2024 3:41:03 PM] - TRADE : From Colorado Avalanche to New York Islanders : Anton Blidh (54).
[8/15/2024 3:41:03 PM] - TRADE : From New York Islanders to Colorado Avalanche : $5,000 (Money).
[8/15/2024 3:40:31 PM] - TRADE : From Minnesota Wild to New York Islanders : Zachary Senyshyn (54).
[8/15/2024 3:40:31 PM] - TRADE : From New York Islanders to Minnesota Wild : $10,000 (Money).
[8/8/2024 7:02:04 PM] - Jason Polin was added to New York Islanders.
[8/8/2024 7:02:01 PM] - Evan Barratt was added to New York Islanders.
[8/8/2024 7:01:59 PM] - Patrick Brown was added to New York Islanders.
[8/8/2024 7:01:58 PM] - Hudson Elynuik was added to New York Islanders.
[8/8/2024 7:01:13 PM] - Luke Stevens was added to New York Islanders.
[8/8/2024 6:43:58 PM] - TRADE : From New York Islanders to Tampa Bay Lightning : Ross Johnston (66).
[8/8/2024 6:38:16 PM] - TRADE : From New York Islanders to Los Angeles Kings : Brett Ritchie (71).
[8/8/2024 6:34:45 PM] - Brandon Scanlin signed with New York Islanders for $775,000 for 4 year(s).
[8/8/2024 6:34:45 PM] - Brandon Scanlin was added to New York Islanders.
[8/8/2024 6:34:39 PM] - Zach Aston-Reese signed with New York Islanders for $775,000 for 4 year(s).
[8/8/2024 6:34:39 PM] - Zach Aston-Reese was added to New York Islanders.
[8/8/2024 6:34:32 PM] - Kevin Connauton signed with New York Islanders for $775,000 for 4 year(s).
[8/8/2024 6:34:32 PM] - Kevin Connauton was added to New York Islanders.
[8/8/2024 6:34:26 PM] - Chase De Leo signed with New York Islanders for $775,000 for 4 year(s).
[8/8/2024 6:34:26 PM] - Chase De Leo was added to New York Islanders.
[8/8/2024 6:34:19 PM] - Matthew Peca signed with New York Islanders for $775,000 for 4 year(s).
[8/8/2024 6:34:19 PM] - Matthew Peca was added to New York Islanders.
[8/5/2024 6:34:41 PM] - Radim Simek was released.
[8/5/2024 6:12:36 PM] - Ross Johnston was added to New York Islanders.
[8/5/2024 6:12:36 PM] - Pierre-Edouard Bellemare was added to New York Islanders.
[8/5/2024 6:12:36 PM] - Libor Hajek was added to New York Islanders.
[8/5/2024 6:12:36 PM] - Evgeny Kuznetsov was added to New York Islanders.
[8/5/2024 6:12:36 PM] - Billy Sweezey was added to New York Islanders.
[8/5/2024 6:12:36 PM] - Anton Levtchi was added to New York Islanders.
[8/1/2024 5:07:18 PM] - TRADE : From New York Islanders to Detroit Red Wings : Josh Leivo (70), Pheonix Copley (77).
[7/29/2024 8:41:11 PM] - Curtis Lazar was added to New York Islanders.
[7/29/2024 8:41:11 PM] - Casey DeSmith was added to New York Islanders.
[7/28/2024 7:27:12 AM] - James Reimer was added to New York Islanders.
[7/14/2024 12:07:58 PM] - Cole Hutson has been added to New York Islanders.
[7/13/2024 9:16:31 AM] - TRADE : From Chicago Blackhawks to New York Islanders : Kyle Burroughs (78), Calvin de Haan (76).
[7/13/2024 9:16:31 AM] - TRADE : From New York Islanders to Chicago Blackhawks : Alex Goligoski (69).
[7/13/2024 9:16:11 AM] - TRADE : From Toronto Maple Leafs to New York Islanders : Ian Cole (79), Chad Ruhwedel (73).

[10/15/2024 7:58:35 PM] Jon Gillies from Bridgeport Sound Tigers is back from Exhaustion.
[10/15/2024 7:58:35 PM] New York Islanders lines for next game are empty. Current rosters/lines are not erased.
[10/14/2024 8:23:23 PM] Both New York Islanders and Bridgeport Sound Tigers lines for next game are empty. Current rosters/lines are not erased.
[10/14/2024 8:23:23 PM] Jon Gillies from Bridgeport Sound Tigers injured (Exhaustion)
[10/13/2024 9:29:06 PM] Bridgeport Sound Tigers lines for next game are empty. Current rosters/lines are not erased.
[10/12/2024 9:34:38 PM] Bridgeport Sound Tigers lines for next game are empty. Current rosters/lines are not erased.
[10/11/2024 9:13:16 PM] Both New York Islanders and Bridgeport Sound Tigers lines for next game are empty. Current rosters/lines are not erased.
[10/9/2024 8:12:22 PM] New York Islanders lines for next game are empty. Current rosters/lines are not erased.
[10/8/2024 8:16:23 PM] Bridgeport Sound Tigers lines for next game are empty. Current rosters/lines are not erased.
[10/5/2024 9:13:38 PM] Jack Hughes from New York Islanders is back from Bruised Left Arm Injury.
[10/5/2024 9:13:38 PM] Both New York Islanders and Bridgeport Sound Tigers lines for next game are empty. Current rosters/lines are not erased.
[10/4/2024 9:12:37 PM] New York Islanders lines for next game are empty. Current rosters/lines are not erased.
[10/4/2024 9:12:32 PM] Auto Lines Partial Function has been run for New York Islanders.
[10/4/2024 9:12:32 PM] Auto Roster Partial Function has been run for New York Islanders.
[10/4/2024 9:12:32 PM] New York Islanders roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[10/1/2024 7:29:10 PM] Both New York Islanders and Bridgeport Sound Tigers lines for next game are empty. Current rosters/lines are not erased.
[10/1/2024 7:29:08 PM] Game 139 - Jack Hughes from New York Islanders is injured (Bruised Left Arm) and is out for 1 week.
[9/29/2024 7:53:28 PM] Bridgeport Sound Tigers lines for next game are empty. Current rosters/lines are not erased.
[9/28/2024 10:10:09 PM] Both New York Islanders and Bridgeport Sound Tigers lines for next game are empty. Current rosters/lines are not erased.

Pas de blessure ou de suspension.

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: 15 \| W: 11 \| L: 4 \| OTL: 0 \| P: 22 GF: 38 \| GA: 27 \| PP%: 14.71% \| PK%: 74.29% DG: Matt Pace \| Morale : 61 \| Moyenne d’équipe : 79 Prochains matchs #258 vs Washington Capitals