LAAHS - Islanders

Bridgeport Sound Tigers
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Statistiques d'Équipe
Calendrier
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Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière

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
1	Vladimir Tarasenko			X		100.00	77	45	90	92	80	79	95	84	55	83	89	57	61	69	71	83	58	75	0
2	Kyle Palmieri		X	X		100.00	78	43	83	86	67	79	85	89	37	75	86	64	50	70	72	80	53	73	0
3	Brandon Saad		X	X		100.00	69	43	94	84	75	77	98	72	39	73	81	75	35	72	76	79	61	72	0
4	Paul Stastny	X				100.00	69	42	82	78	70	78	83	77	96	84	76	66	25	80	84	77	59	72	0
5	Timo Meier		X	X		100.00	78	55	80	83	78	75	97	75	35	80	86	62	25	57	58	81	64	71	0
6	James Neal (A)		X	X		100.00	69	43	86	74	81	68	84	74	38	65	70	55	63	78	82	64	51	66	0
7	Chris Mueller	X		X		100.00	76	73	84	65	73	80	83	71	80	65	72	69	68	54	54	71	61	66	0
8	Evan Rodrigues	X	X	X		100.00	63	51	89	77	66	73	82	72	76	68	56	80	75	61	61	70	51	66	0
9	Drake Batherson (R)	X		X		100.00	73	43	90	77	69	65	81	69	56	75	68	62	25	45	45	70	59	65	0
10	Logan Shaw			X		100.00	79	77	82	73	77	82	87	64	80	55	63	70	63	57	58	68	66	65	0
11	Christian Fischer	X		X		100.00	82	55	88	80	80	64	92	72	33	59	67	54	25	60	60	68	65	64	0
12	Cole Schneider		X	X		100.00	77	74	83	71	74	80	84	65	50	60	65	68	62	54	54	67	53	64	0
13	Mathew Dumba				X	100.00	84	64	81	86	68	88	74	81	25	62	69	73	25	65	67	77	33	71	0
14	Jordie Benn				X	100.00	80	54	85	74	74	76	96	60	25	55	47	87	45	69	70	65	61	71	0
15	Jake Gardiner				X	100.00	75	44	87	86	73	83	89	76	25	67	48	62	25	72	73	65	61	69	0
16	Justin Schultz				X	100.00	73	43	95	85	72	81	64	73	25	67	49	64	25	68	70	65	26	67	0
17	Will Butcher				X	100.00	65	42	92	84	68	78	97	84	25	62	49	59	25	58	59	64	53	66	0
18	Matt Roy (R)				X	100.00	80	44	85	76	74	75	80	59	25	54	49	80	25	46	46	63	63	66	0
Rayé
1	Marcus Johansson	X	X	X		100.00	65	42	95	82	75	73	62	78	37	76	72	62	25	73	76	73	65	68	0
2	Roman Josi				X	100.00	67	42	85	90	74	93	96	81	25	76	66	89	63	71	74	75	64	77	0

	MOYENNE D'ÉQUIPE					100.00	74	51	87	80	73	77	85	74	44	68	66	68	42	64	66	71	56	69

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
1	Corey Crawford	100.00	72	63	64	82	73	70	60	73	78	72	90	67	72	71	61	70	0
2	Alex Stalock	100.00	63	54	54	72	70	55	59	65	64	62	90	57	58	62	55	61	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	68	59	59	77	72	63	60	69	71	67	90	62	65	67	58	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd Reirden	79	76	93	70	66	66	75	USA	46	3	900,000$

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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Alex Stalock	Islanders	G	30	1987-07-28	No	198 Lbs	6 ft0	No	No	No	3	Pro & Farm	785,000$	785,000$	0$	No	785,000$	785,000$		Lien
Brandon Saad	Islanders	LW/RW	25	1992-10-26	No	206 Lbs	6 ft1	No	No	No	1	Pro & Farm	6,000,000$	6,000,000$	0$	No				Lien
Chris Mueller	Islanders	C/RW	32	1986-03-06	No	209 Lbs	5 ft11	Yes	No	No	1	Pro & Farm	700,000$	700,000$	0$	No				Lien
Christian Fischer	Islanders	C/RW	21	1997-04-15	No	215 Lbs	6 ft2	No	No	No	1	Pro & Farm	821,666$	821,666$	0$	No				Lien
Cole Schneider	Islanders	LW/RW	27	1990-08-26	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	650,000$	650,000$	0$	No				Lien
Corey Crawford	Islanders	G	33	1984-12-31	No	216 Lbs	6 ft2	No	No	No	2	Pro & Farm	6,000,000$	6,000,000$	0$	No	6,000,000$			Lien
Drake Batherson	Islanders	C/RW	20	1998-04-26	Yes	187 Lbs	6 ft1	No	No	No	3	Pro & Farm	875,000$	875,000$	0$	No	875,000$	875,000$		Lien
Evan Rodrigues	Islanders	C/LW/RW	24	1993-07-28	No	182 Lbs	5 ft11	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	0$	No				Lien
Jake Gardiner	Islanders	D	27	1990-07-04	No	200 Lbs	6 ft0	No	No	No	4	Pro & Farm	4,050,000$	4,050,000$	0$	No	4,050,000$	4,050,000$	4,050,000$	Lien
James Neal	Islanders	LW/RW	30	1987-09-03	No	221 Lbs	6 ft2	No	No	No	4	Pro & Farm	5,750,000$	5,750,000$	0$	No	5,750,000$	5,750,000$	5,750,000$	Lien
Jordie Benn	Islanders	D	30	1987-07-25	No	198 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	0$	No	2,000,000$			Lien
Justin Schultz	Islanders	D	27	1990-07-06	No	193 Lbs	6 ft2	No	No	No	1	Pro & Farm	5,500,000$	5,500,000$	0$	No				Lien
Kyle Palmieri	Islanders	LW/RW	27	1991-02-01	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	4,650,000$	4,650,000$	0$	No	4,650,000$			Lien
Logan Shaw	Islanders	RW	25	1992-10-05	No	208 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	No				Lien
Marcus Johansson	Islanders	C/LW/RW	27	1990-10-06	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	4,500,000$	4,500,000$	0$	No	4,500,000$			Lien
Mathew Dumba	Islanders	D	23	1994-07-24	No	184 Lbs	6 ft0	No	No	No	4	Pro & Farm	6,000,000$	6,000,000$	0$	No	6,000,000$	6,000,000$	6,000,000$	Lien
Matt Roy	Islanders	D	23	1995-02-28	Yes	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	700,000$	0$	No	700,000$			Lien
Paul Stastny	Islanders	C	32	1985-12-27	No	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	6,500,000$	6,500,000$	0$	No	6,500,000$			Lien
Roman Josi	Islanders	D	28	1990-05-31	No	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	0$	No				Lien
Timo Meier	Islanders	LW/RW	21	1996-10-08	No	215 Lbs	6 ft0	No	No	No	4	Pro & Farm	6,000,000$	6,000,000$	0$	No	6,000,000$	6,000,000$	6,000,000$	Lien
Vladimir Tarasenko	Islanders	RW	26	1991-12-13	No	225 Lbs	6 ft0	No	No	No	1	Pro & Farm	7,500,000$	7,500,000$	0$	No				Lien
Will Butcher	Islanders	D	23	1995-01-06	No	190 Lbs	5 ft10	No	No	No	3	Pro & Farm	3,733,333$	3,733,333$	0$	No	3,733,333$	3,733,333$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	26.41	201 Lbs	6 ft1	2.09	3,518,864$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
77,414,999$	51,543,333$	27,193,333$	21,800,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kyle Palmieri	Paul Stastny	Vladimir Tarasenko	40	1	2	2
2	Brandon Saad	Chris Mueller	Timo Meier	30	1	2	2
3	James Neal	Evan Rodrigues	Logan Shaw	20	1	2	2
4	Cole Schneider	Drake Batherson	Christian Fischer	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mathew Dumba	Jordie Benn	35	1	2	2
2	Jake Gardiner	Justin Schultz	33	1	2	2
3	Will Butcher	Matt Roy	32	1	2	2
4	Mathew Dumba	Jordie Benn	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kyle Palmieri	Paul Stastny	Vladimir Tarasenko	60	1	2	2
2	Brandon Saad	Chris Mueller	Timo Meier	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mathew Dumba	Jordie Benn	50	1	2	2
2	Jake Gardiner	Justin Schultz	50	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Evan Rodrigues	Logan Shaw	60	1	2	2
2	Chris Mueller	Brandon Saad	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mathew Dumba	Jordie Benn	60	1	2	2
2	Jake Gardiner	Justin Schultz	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Evan Rodrigues	60	1	2	2	Mathew Dumba	Jordie Benn	60	1	2	2
2	Chris Mueller	40	1	2	2	Jake Gardiner	Justin Schultz	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Evan Rodrigues	Brandon Saad	60	1	2	2
2	Chris Mueller	Drake Batherson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mathew Dumba	Jordie Benn	60	1	2	2
2	Jake Gardiner	Justin Schultz	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Kyle Palmieri	Paul Stastny	Vladimir Tarasenko	Mathew Dumba	Jordie Benn

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brandon Saad	Evan Rodrigues	Logan Shaw	Mathew Dumba	Jordie Benn

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
James Neal, Evan Rodrigues, Logan Shaw	James Neal, Evan Rodrigues	Logan Shaw

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Will Butcher, Matt Roy, Jake Gardiner	Will Butcher	Matt Roy, Jake Gardiner

Tirs de Pénalité
Vladimir Tarasenko, Kyle Palmieri, Brandon Saad, Paul Stastny, Timo Meier

Gardien
#1 : Corey Crawford, #2 : Alex Stalock

Lignes d'Attaque Perso. en Prol.
Vladimir Tarasenko, Kyle Palmieri, Brandon Saad, Paul Stastny, Timo Meier, James Neal, James Neal, Chris Mueller, Evan Rodrigues, Logan Shaw, Drake Batherson

Lignes de Défense Perso. en Prol.
Mathew Dumba, Jordie Benn, Jake Gardiner, Justin Schultz, Will Butcher

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
0	0	0.00%	0	0	0.00%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
0	0	0	0	0	0	0	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
0	0	0.00%	0	0	0.00%	0	0	0.00%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
0	0	0	0	0	0

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	RI	Lien

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	20	200
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
41	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	77,414,999$	57,398,749$	0$	1,000,000$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	22	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	63,171,189$	63,171,189$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Kyle Palmieri	AGE:27	PO:80	OV:73
Brandon Saad	AGE:25	PO:79	OV:72
Timo Meier	AGE:21	PO:81	OV:71
Marcus Johansson	AGE:27	PO:73	OV:68
Evan Rodrigues	AGE:24	PO:70	OV:66
James Neal	AGE:30	PO:64	OV:66
Cole Schneider	AGE:27	PO:67	OV:64
Kerby Rychel	AGE:23	PO:67	OV:63
Brendan Leipsic	AGE:24	PO:65	OV:62
*Par Lindholm	AGE:26	PO:65	OV:61
Michael Bunting	AGE:22	PO:64	OV:60
Ryan Lomberg	AGE:23	PO:60	OV:58
*Joona Koppanen	AGE:20	PO:53	OV:53
Dylan Sadowy	AGE:22	PO:51	OV:51

Paul Stastny	AGE:32	PO:77	OV:72
Marcus Johansson	AGE:27	PO:73	OV:68
Chris Mueller	AGE:32	PO:71	OV:66
Evan Rodrigues	AGE:24	PO:70	OV:66
*Drake Batherson	AGE:20	PO:70	OV:65
Christian Fischer	AGE:21	PO:68	OV:64
Brendan Leipsic	AGE:24	PO:65	OV:62
*Par Lindholm	AGE:26	PO:65	OV:61
Justin Dowling	AGE:27	PO:63	OV:61
Michael Spacek	AGE:21	PO:61	OV:59
Justin Scott	AGE:22	PO:60	OV:57
Filip Sandberg	AGE:23	PO:60	OV:57
*Steven Lorentz	AGE:22	PO:55	OV:55
*Joona Koppanen	AGE:20	PO:53	OV:53

Vladimir Tarasenko	AGE:26	PO:83	OV:75
Kyle Palmieri	AGE:27	PO:80	OV:73
Brandon Saad	AGE:25	PO:79	OV:72
Timo Meier	AGE:21	PO:81	OV:71
Marcus Johansson	AGE:27	PO:73	OV:68
Chris Mueller	AGE:32	PO:71	OV:66
Evan Rodrigues	AGE:24	PO:70	OV:66
James Neal	AGE:30	PO:64	OV:66
*Drake Batherson	AGE:20	PO:70	OV:65
Logan Shaw	AGE:25	PO:68	OV:65
Christian Fischer	AGE:21	PO:68	OV:64
Cole Schneider	AGE:27	PO:67	OV:64
*Nicholas Caamano	AGE:19	PO:48	OV:61
Ty Rattie	AGE:25	PO:63	OV:59
Justin Scott	AGE:22	PO:60	OV:57
Filip Sandberg	AGE:23	PO:60	OV:57
*Mathieu Olivier	AGE:21	PO:53	OV:54

Défense #1

Défense #2

Gardien

Roman Josi	AGE:28	PO:75	OV:77
Mathew Dumba	AGE:23	PO:77	OV:71
Jordie Benn	AGE:30	PO:65	OV:71
Jake Gardiner	AGE:27	PO:65	OV:69
Justin Schultz	AGE:27	PO:65	OV:67
Will Butcher	AGE:23	PO:64	OV:66

*Matt Roy	AGE:23	PO:63	OV:66
Evan McEneny	AGE:24	PO:58	OV:59
Jacob Middleton	AGE:22	PO:54	OV:58
*Joni Tuulola	AGE:22	PO:53	OV:57
Patrick Sieloff	AGE:24	PO:50	OV:56
*Andrew O'Brien	AGE:25	PO:48	OV:53

Corey Crawford	AGE:33	PO:71	OV:70
Alex Stalock	AGE:30	PO:62	OV:61
*Josef Korenar	AGE:20	PO:62	OV:60
Harri Sateri	AGE:28	PO:54	OV:55
C.J. Motte	AGE:26	PO:52	OV:52
*Colton Phinney	AGE:25	PO:42	OV:45

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Alexandr Darin	Islanders	2019	136
Alfons Malmstrom	Islanders	2016	142
Arvid Henrikson	Islanders	2016	202
Austin Wong	Islanders	2018	201
Cam York	Islanders	2019	16
Cristiano Digiacinto	Islanders	2014	180
Daniel Catenacci	Islanders
Eetu Makiniemi	Islanders	2017	138
Frankie Simonelli	Islanders
Jack Adams	Islanders	2017	168
Jack McBain	Islanders	2018	50
Kasper Bjorkqvist	Islanders	2016	63
Linus Nassen	Islanders	2016	112
MIROSLAV SVOBODA	Islanders	2015	208
Matthew Villalta	Islanders	2017	108
Maxim Mamin	Islanders
Michael Anderson	Islanders	2017	105
Michael Vukojevic	Islanders	2019	106
Mike Koster	Islanders	2019	166
Milan Kloucek	Islanders	2018	200
Nick Swaney	Islanders	2017	198
Robin Salo	Islanders	2017	78
Ryan O'Reilly	Islanders
Shane Pinto	Islanders	2019	46
Ty Smith	Islanders	2018	20
Vadim Zherenko	Islanders	2019	196
Yegor Korshkov	Islanders	2016	37
Zac Jones	Islanders	2019	76
Zach O'Brien	Islanders

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020	NYI	NYI	NYI DAL	NYI	NYI	BUF NYI	NYI
2021	NYI	NYI	NYI	NYI	NYI	NYI	NYI	NYI
2022	NYI	NYI	NYI	NYI	NYI	NYI	NYI	NYI
2023	NYI	NYI	NYI	NYI	NYI	NYI	NYI	NYI
2024	NYI	NYI	NYI	NYI	NYI	NYI	NYI	NYI

[2020-04-29 17:02:26] - Bridgeport Sound Tigers didn't make playoff for year 2019.
[2020-04-29 17:02:26] - Islanders didn't make playoff for year 2019.
[2020-02-19 17:57:50] - TRADE : From Islanders to Devils : Radek Faksa (70).
[2020-02-19 17:57:50] - TRADE : From Devils to Islanders : Michael Anderson (P), Y:2020-RND:3-DAL.
[2020-01-24 12:51:06] - TRADE : From Rangers to Islanders : Nicholas Caamano (60), Michael Spacek (59).
[2020-01-24 12:51:06] - TRADE : From Islanders to Rangers : Tyler Bozak (71).
[2020-01-23 16:21:40] - Alex Goligoski has been selected as assistant for Islanders.
[2020-01-23 16:21:40] - Unknown Player is no longer as assistant for Islanders.
[2020-01-23 16:05:54] - TRADE : From Islanders to Devils : Alex Goligoski (73), Y:2020-RND:8-NYI.
[2020-01-23 16:05:54] - TRADE : From Devils to Islanders : Marcus Johansson (68), Josef Korenar (60).
[2020-01-22 15:10:53] - TRADE : From Sabres to Islanders : Paul Stastny (72), Roman Josi (77).
[2020-01-22 15:10:53] - TRADE : From Islanders to Sabres : Nicklas Backstrom (78), Ryan Murray (70).
[2019-11-06 20:41:10] - TRADE : From Islanders to Sabres : Tyler Ennis (65).
[2019-11-06 20:41:10] - TRADE : From Sabres to Islanders : Y:2020-RND:6-BUF.
[2019-10-09 13:35:22] - Alex Stalock was added to Islanders.
[2019-10-09 13:35:22] - Islanders claimed Alex Stalock from waivers by Kings for 0 $.
[2019-10-09 13:34:51] - Islanders show interest in Alex Stalock from waiver.
[2019-10-01 18:19:51] - TRADE : From Islanders to Avalanche : Yegor Rykov (P).
[2019-10-01 18:19:51] - TRADE : From Avalanche to Islanders : Kasper Bjorkqvist (P).
[2019-09-22 12:06:18] - Al Montoya was released.
[2019-09-22 12:06:18] - Nathan Paetsch was released.
[2019-09-22 12:06:18] - Erik Burgdoerfer was released.
[2019-09-22 12:06:18] - Colin McDonald was released.
[2019-09-22 11:36:46] - Colton Phinney signed with Islanders for 600 000 $ for 2 year(s) / Option : No Trade.
[2019-09-22 11:36:46] - Colton Phinney was added to Islanders.
[2019-09-10 15:26:03] - C.J. Motte signed with Islanders for 600 000 $ for 1 year(s) / Option : No Trade.
[2019-09-10 15:26:03] - C.J. Motte was added to Islanders.
[2019-09-08 15:34:46] - Bridgeport Sound Tigers hired Tom Barrasso for 60 000 $ for 2 year(s).
[2019-09-08 15:34:34] - Islanders hired Todd Reirden for 900 000 $ for 3 year(s).
[2019-09-08 15:34:18] - Islanders fired Tom Barrasso.
[2019-09-05 20:17:02] - Jake Gardiner signed with Islanders for 6 500 000 $ for 1 year(s).
[2019-09-05 20:17:02] - Jake Gardiner was added to Islanders.
[2019-09-05 20:16:48] - Evan McEneny signed with Islanders for 650 000 $ for 1 year(s).
[2019-09-05 20:16:48] - Evan McEneny was added to Islanders.
[2019-09-05 20:16:36] - Dylan Sadowy signed with Islanders for 650 000 $ for 1 year(s).
[2019-09-05 20:16:36] - Dylan Sadowy was added to Islanders.

[2020-04-27 19:39:11] Marcus Johansson from Islanders is back from Torn Left Knee Ligaments Injury.
[2020-04-15 17:04:45] Roman Josi from Islanders is back from Exhaustion.
[2020-04-15 16:54:06] Successfully loaded Islanders lines done with STHS Client - 3.2.0.5
[2020-04-15 16:54:06] Brendan Leipsic of Islanders was sent down to farm.
[2020-04-14 17:33:51] Islanders lines for next game are empty. Current rosters/lines are not erased.
[2020-04-14 17:33:48] Roman Josi from Islanders is injured from Exhaustion.
[2020-04-14 17:33:42] Auto Lines Function has been run for Islanders.
[2020-04-14 17:27:12] Auto Lines Function has been run for Islanders.
[2020-04-14 17:27:12] Auto Roster Partial Function has been run for Islanders.
[2020-04-14 17:27:12] Brendan Leipsic of Islanders was sent to pro.
[2020-04-13 16:26:38] Roman Josi from Islanders is back from Exhaustion.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison Régulière
2016	82	36	30	0	5	9	1	1	229	209	20	41	17	16	0	4	3	1	0	114	104	10	41	19	14	0	1	6	0	1	115	105	10	72	229	363	592	1	2	51	82	90	6	2640	773	898	950	27	2693	911	499	1707	188	42	22.34%	234	42	82.05%	2	968	1911	50.65%	1004	2041	49.19%	573	1145	50.04%	1708	957	1757	755	1488	740
2017	82	33	26	0	2	7	8	6	251	238	13	41	13	16	0	2	1	6	3	114	114	0	41	20	10	0	0	6	2	3	137	124	13	66	251	399	650	0	1	63	82	96	19	2808	953	937	887	76	2827	1005	481	1597	189	43	22.75%	221	41	81.45%	7	1036	1894	54.70%	1029	2024	50.84%	639	1223	52.25%	1776	1033	1768	738	1455	722
2018	82	29	33	0	10	6	2	2	248	243	5	41	15	15	0	6	3	1	1	130	121	9	41	14	18	0	4	3	1	1	118	122	-4	58	248	408	656	3	1	48	94	94	13	2814	838	981	972	38	2830	963	401	1634	240	54	22.50%	186	35	81.18%	3	969	1922	50.42%	889	1888	47.09%	631	1212	52.06%	1776	1039	1751	722	1438	727
2019	82	31	30	0	7	7	1	6	241	246	-5	41	13	15	0	4	2	1	6	118	128	-10	41	18	15	0	3	5	0	0	123	118	5	91	241	395	636	2	0	67	75	91	9	2829	910	909	984	46	2763	957	447	1720	206	46	22.33%	206	32	84.47%	3	975	1902	51.26%	878	1738	50.52%	571	1149	49.70%	1776	1024	1741	742	1466	730
Total Saison Régulière	328	129	119	0	24	29	12	15	969	936	33	164	58	62	0	16	9	9	10	476	467	9	164	71	57	0	8	20	3	5	493	469	24	287	969	1565	2534	6	4	229	333	371	47	11091	3474	3725	3793	187	11113	3836	1828	6658	823	185	22.48%	847	150	82.29%	15	3948	7629	51.75%	3800	7691	49.41%	2414	4729	51.05%	7037	4054	7018	2958	5849	2920