LAAHS - Islanders

Bridgeport Sound Tigers
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension

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	Nicklas Backstrom (C)	X				100.00	65	42	83	89	77	81	99	90	91	94	77	71	64	80	85	80	72	78	0
2	Vladimir Tarasenko			X		100.00	76	54	92	92	78	81	98	88	31	78	85	52	70	69	71	81	72	74	0
3	Kyle Palmieri		X	X		100.00	80	44	85	86	70	76	88	82	39	77	89	68	50	69	71	81	70	74	0
4	Brandon Saad		X	X		100.00	63	42	94	84	74	76	99	77	46	69	75	68	36	70	74	73	76	71	0
5	James Neal (A)		X	X		100.00	67	43	89	83	76	76	88	78	25	68	78	57	63	77	80	78	75	70	0
6	Radek Faksa	X				100.00	78	58	86	82	79	70	97	62	91	66	71	85	25	63	64	75	75	70	0
7	Tyler Bozak	X				100.00	65	42	89	75	72	70	97	77	95	78	67	54	80	74	75	70	75	69	0
8	Timo Meier		X	X		100.00	78	54	82	78	76	69	91	70	49	71	81	63	25	57	57	73	75	68	0
9	Christian Fischer	X		X		100.00	79	45	93	80	77	67	88	77	31	64	72	62	25	55	55	72	75	67	0
10	Evan Rodrigues	X	X	X		100.00	63	41	90	77	64	67	83	79	71	77	65	65	25	54	54	72	75	67	0
11	Alexandre Burrows	X	X	X		100.00	73	53	77	77	70	61	90	69	34	60	58	71	67	83	87	65	74	66	0
12	Logan Shaw			X		100.00	80	45	94	73	76	62	88	59	50	62	57	77	25	61	62	66	34	64	0
13	Tyler Ennis	X	X	X		100.00	69	41	94	83	59	62	79	63	32	64	64	59	65	71	72	65	58	63	0
14	Mathew Dumba				X	100.00	82	44	85	86	68	90	96	78	25	69	65	82	25	66	67	74	70	75	0
15	Jake Gardiner				X	100.00	67	42	88	88	69	86	99	77	25	77	48	73	25	71	72	68	75	72	0
16	Ryan Murray				X	100.00	69	43	93	83	75	76	70	60	25	64	46	87	25	65	66	64	75	70	0
17	Jordie Benn				X	100.00	77	58	86	74	75	77	91	60	25	52	48	86	45	68	69	64	75	70	0
18	Justin Schultz				X	100.00	67	42	92	85	73	79	88	76	25	68	48	65	25	69	70	65	34	68	0
19	Will Butcher (R)				X	100.00	61	41	96	86	68	69	81	82	25	71	48	57	25	59	59	63	75	65	0
Rayé
1	Alex Goligoski (A)				X	100.00	80	44	89	81	69	88	97	73	25	65	55	85	75	78	80	72	74	75	0

	MOYENNE D'ÉQUIPE					100.00	72	46	89	82	72	74	90	74	43	70	65	69	43	68	70	71	69	70

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	80	71	70	82	86	75	77	81	86	80	94	66	71	80	74	77	0
2	Keith Kinkaid	100.00	74	63	62	76	74	74	64	73	83	75	65	57	57	72	77	70	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	77	67	66	79	80	75	71	77	85	78	80	62	64	76	76	74

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Tom Barrasso	62	40	70	63	66	70	62	USA	52	3	600,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Brandon Saad	Islanders	LW/RW	5	1	5	6	-1	0	2	7	20	1	22	5.00%	5	96	19.39	0	0	0	0	9	0	6	1	50.00%	4	4	1	1.24	1	0	0
2	Nicklas Backstrom	Islanders	C	5	3	3	6	-1	4	7	10	15	7	11	20.00%	1	113	22.73	1	1	2	3	10	1	10	0	50.30%	165	4	1	1.06	0	0	0
3	Vladimir Tarasenko	Islanders	RW	4	2	3	5	1	0	2	2	22	6	5	9.09%	1	86	21.57	0	1	1	3	7	0	8	0	33.33%	6	3	2	1.16	0	0	0
4	James Neal	Islanders	LW/RW	5	1	4	5	4	4	7	4	15	8	6	6.67%	4	88	17.64	0	0	0	1	9	0	0	0	33.33%	3	4	1	1.13	0	0	1
5	Radek Faksa	Islanders	C	5	3	1	4	3	6	5	11	8	2	3	37.50%	2	89	17.80	0	0	0	1	9	0	0	0	45.83%	72	3	3	0.90	0	1	0
6	Timo Meier	Islanders	LW/RW	5	2	1	3	-1	0	8	6	8	6	13	25.00%	0	74	14.89	0	0	0	0	2	0	7	0	37.50%	8	3	1	0.81	0	0	1
7	Kyle Palmieri	Islanders	LW/RW	5	0	3	3	-2	6	11	4	15	1	5	0.00%	4	105	21.12	0	1	1	2	10	0	6	0	18.18%	11	2	3	0.57	0	0	0
8	Alex Goligoski	Islanders	D	4	0	2	2	-2	0	6	8	6	1	3	0.00%	8	111	27.77	0	0	0	0	8	0	10	0	0.00%	0	1	3	0.36	0	0	0
9	Tyler Bozak	Islanders	C	5	1	1	2	-2	0	1	10	9	3	8	11.11%	0	63	12.68	0	0	0	0	0	0	0	0	62.86%	35	5	1	0.63	0	0	0
10	Jake Gardiner	Islanders	D	5	0	2	2	-1	0	4	13	3	4	2	0.00%	7	110	22.03	0	0	0	0	9	0	10	0	0.00%	0	0	0	0.36	0	0	0
11	Ryan Murray	Islanders	D	5	1	0	1	0	0	0	6	3	0	0	33.33%	10	76	15.22	0	0	0	0	5	0	4	0	0.00%	0	0	4	0.26	0	0	0
12	Mathew Dumba	Islanders	D	5	1	0	1	-2	4	9	11	11	3	6	9.09%	17	125	25.18	1	0	1	1	12	0	11	0	0.00%	0	1	7	0.16	0	0	0
13	Christian Fischer	Islanders	C/RW	5	0	1	1	-1	0	3	4	13	6	13	0.00%	0	57	11.58	0	0	0	0	0	0	0	0	50.00%	4	3	0	0.35	0	0	0
14	Evan Rodrigues	Islanders	C/LW/RW	5	0	1	1	-3	0	1	1	13	1	4	0.00%	0	45	9.17	0	0	0	0	0	0	0	0	90.91%	11	2	1	0.44	0	0	0
15	Alexandre Burrows	Islanders	C/LW/RW	5	0	0	0	-3	4	6	2	5	1	0	0.00%	0	42	8.50	0	0	0	0	0	1	6	0	33.33%	3	0	2	0.00	0	0	0
16	Will Butcher	Islanders	D	5	0	0	0	0	0	0	2	1	0	0	0.00%	1	34	6.94	0	0	0	0	0	0	2	0	0.00%	0	0	2	0.00	0	0	0
17	Ville Pokka	Bridgeport Sound Tigers (NYI)	D	1	0	0	0	0	2	0	0	0	0	0	0.00%	1	6	6.75	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
18	Tyler Ennis	Islanders	C/LW/RW	5	0	0	0	0	0	0	2	0	0	0	0.00%	0	9	1.89	0	0	0	0	0	0	0	0	0.00%	0	1	1	0.00	0	0	0
19	Justin Schultz	Islanders	D	5	0	0	0	2	0	3	1	0	0	1	0.00%	5	60	12.10	0	0	0	0	0	0	1	0	0.00%	0	0	1	0.00	0	0	0
20	Logan Shaw	Islanders	RW	4	0	0	0	-3	0	1	0	1	0	2	0.00%	1	26	6.60	0	0	0	0	0	0	0	0	0.00%	0	0	1	0.00	0	0	0
21	Jordie Benn	Islanders	D	5	0	0	0	-3	2	10	9	4	3	1	0.00%	9	91	18.36	0	0	0	0	5	0	7	0	0.00%	0	0	4	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				98	15	27	42	-15	32	86	113	172	53	105	8.72%	76	1516	15.48	2	3	5	11	100	2	96	1	50.00%	322	36	39	0.55	1	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 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	Corey Crawford	Islanders	5	1	2	2	0.894	3.90	308	0	0	20	189	102	0	0	0.000	0	5	0	0	0	0
Stats d'équipe Total ou en Moyenne			5	1	2	2	0.894	3.90	308	0	0	20	189	102	0	0	0.000	0	5	0	0	0	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 Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Alex Goligoski	Islanders	D	32	1985-07-29	No	185 Lbs	5 ft11	No	No	No	3	Sans Restriction	Pro & Farm	5,475,000$	5,475,000$	391,071$	No	Lien
Alexandre Burrows	Islanders	C/LW/RW	37	1981-04-11	No	197 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro Only	2,500,000$	2,500,000$	178,571$	No	Lien
Brandon Saad	Islanders	LW/RW	25	1992-10-26	No	206 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	6,000,000$	6,000,000$	428,571$	No	Lien
Christian Fischer	Islanders	C/RW	21	1997-04-15	No	214 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	821,666$	821,666$	58,690$	No	Lien
Corey Crawford	Islanders	G	33	1984-12-31	No	216 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	428,571$	No	Lien
Evan Rodrigues	Islanders	C/LW/RW	24	1993-07-28	No	183 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	650,000$	650,000$	46,429$	No	Lien
Jake Gardiner	Islanders	D	27	1990-07-04	No	200 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	4,050,000$	4,050,000$	289,286$	No	Lien
James Neal	Islanders	LW/RW	30	1987-09-02	No	221 Lbs	6 ft2	No	No	No	5	Sans Restriction	Pro & Farm	5,750,000$	5,750,000$	410,714$	No	Lien
Jordie Benn	Islanders	D	30	1987-07-25	No	200 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	1,100,000$	1,100,000$	78,571$	No	Lien
Justin Schultz	Islanders	D	27	1990-07-05	No	193 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	392,857$	No	Lien
Keith Kinkaid	Islanders	G	28	1989-07-03	No	195 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	1,250,000$	1,250,000$	89,286$	No	Lien
Kyle Palmieri	Islanders	LW/RW	27	1991-02-01	No	185 Lbs	5 ft10	No	No	No	3	Avec Restriction	Pro & Farm	4,650,000$	4,650,000$	332,143$	No	Lien
Logan Shaw	Islanders	RW	25	1992-10-05	No	202 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	700,000$	700,000$	50,000$	No	Lien
Mathew Dumba	Islanders	D	23	1994-07-24	No	183 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	2,550,000$	2,550,000$	182,143$	No	Lien
Nicklas Backstrom	Islanders	C	30	1987-11-23	No	213 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	6,700,000$	6,700,000$	478,571$	No	Lien
Radek Faksa	Islanders	C	24	1994-01-08	No	210 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	2,200,000$	2,200,000$	157,143$	No	Lien
Ryan Murray	Islanders	D	24	1993-09-26	No	211 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	2,825,000$	2,825,000$	201,786$	No	Lien
Timo Meier	Islanders	LW/RW	21	1996-10-08	No	210 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	894,167$	894,167$	63,869$	No	Lien
Tyler Bozak	Islanders	C	32	1986-03-19	No	195 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	357,143$	No	Lien
Tyler Ennis	Islanders	C/LW/RW	28	1989-10-06	No	175 Lbs	5 ft9	No	No	No	1	Avec Restriction	Pro & Farm	650,000$	650,000$	46,429$	No	Lien
Vladimir Tarasenko	Islanders	RW	26	1991-12-13	No	219 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	7,500,000$	7,500,000$	535,714$	No	Lien
Will Butcher	Islanders	D	22	1995-11-26 11:57:35	Yes	190 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	66,071$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.09	200 Lbs	6 ft1	1.77	3,349,583$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
73,690,833$	49,521,666$	26,875,000$	5,750,000$	5,750,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kyle Palmieri	Nicklas Backstrom	Vladimir Tarasenko	40	1	2	2
2	Brandon Saad	Radek Faksa	James Neal	30	1	2	2
3	Timo Meier	Tyler Bozak	Christian Fischer	20	1	2	2
4	Alexandre Burrows	Evan Rodrigues	Logan Shaw	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Mathew Dumba	40	1	2	2
2	Jake Gardiner	Jordie Benn	30	1	2	2
3	Ryan Murray	Justin Schultz	20	1	2	2
4	Will Butcher		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kyle Palmieri	Nicklas Backstrom	Vladimir Tarasenko	60	1	2	2
2	Brandon Saad	Radek Faksa	James Neal	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Mathew Dumba	60	1	2	2
2	Jake Gardiner	Jordie Benn	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nicklas Backstrom	Vladimir Tarasenko	60	1	2	2
2	Kyle Palmieri	Brandon Saad	40	1	2	2

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

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nicklas Backstrom	60	1	2	2		Mathew Dumba	60	1	2	2
2	Vladimir Tarasenko	40	1	2	2	Jake Gardiner	Jordie Benn	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nicklas Backstrom	Vladimir Tarasenko	60	1	2	2
2	Kyle Palmieri	Brandon Saad	40	1	2	2

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

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Kyle Palmieri	Nicklas Backstrom	Vladimir Tarasenko		Mathew Dumba

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Kyle Palmieri	Nicklas Backstrom	Vladimir Tarasenko		Mathew Dumba

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tyler Ennis, Tyler Bozak, Timo Meier	Tyler Ennis, Tyler Bozak	Timo Meier

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan Murray, Justin Schultz, Will Butcher	Ryan Murray	Justin Schultz, Will Butcher

Tirs de Pénalité
Nicklas Backstrom, Vladimir Tarasenko, Kyle Palmieri, Brandon Saad, Radek Faksa

Gardien
#1 : Corey Crawford, #2 : Keith Kinkaid

Lignes d'Attaque Perso. en Prol.
Nicklas Backstrom, Vladimir Tarasenko, Kyle Palmieri, Brandon Saad, Radek Faksa, James Neal, James Neal, Tyler Bozak, Timo Meier, Christian Fischer, Evan Rodrigues

Lignes de Défense Perso. en Prol.
, Mathew Dumba, Jake Gardiner, Jordie Benn, Ryan Murray

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
1	Lightning	5	1	4	0	0	0	0	0	15	20	-5	2	1	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	9	15	-6	2	0.200	15	27	42	0	0	5	4	6	0	172	46	72	50	4	189	76	32	86	12	2	16.67%	16	4	75.00%	0	57	121	47.11%	61	115	53.04%	43	86	50.00%	100	56	119	47	88	43
	Total	5	1	4	0	0	0	0	0	15	20	-5	2	1	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	9	15	-6	2	0.200	15	27	42	0	0	5	4	6	0	172	46	72	50	4	189	76	32	86	12	2	16.67%	16	4	75.00%	0	57	121	47.11%	61	115	53.04%	43	86	50.00%	100	56	119	47	88	43
	_Since Last GM Reset	5	1	4	0	0	0	0	0	15	20	-5	2	1	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	9	15	-6	2	0.200	15	27	42	0	0	5	4	6	0	172	46	72	50	4	189	76	32	86	12	2	16.67%	16	4	75.00%	0	57	121	47.11%	61	115	53.04%	43	86	50.00%	100	56	119	47	88	43
	_Vs Conference	5	1	4	0	0	0	0	0	15	20	-5	2	1	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	9	15	-6	2	0.200	15	27	42	0	0	5	4	6	0	172	46	72	50	4	189	76	32	86	12	2	16.67%	16	4	75.00%	0	57	121	47.11%	61	115	53.04%	43	86	50.00%	100	56	119	47	88	43

			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
5	2	L1	15	27	42	172	189	76	32	86	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	15	20

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	6	5

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	9	15

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	2	0	2	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
12	2	16.67%	16	4	75.00%	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
46	72	50	4	5	4	6	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
57	121	47.11%	61	115	53.04%	43	86	50.00%

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
100	56	119	47	88	43

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	Lien
1 - 2018-10-05	7	Islanders	4	Lightning	5	L	X	Sommaire du Match
2 - 2018-10-06	15	Islanders	2	Lightning	5	L		Sommaire du Match
3 - 2018-10-07	23	Lightning	1	Islanders	3	W		Sommaire du Match
4 - 2018-10-08	31	Lightning	4	Islanders	3	L	X	Sommaire du Match
5 - 2018-10-09	39	Islanders	3	Lightning	5	L		Sommaire du Match

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	10,381	10,000	4,000	8,000	1,766
Attendance PCT	86.51%	100.00%	100.00%	100.00%	88.30%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
39	17074 - 94.85%	1,707,019$	3,414,037$	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$	73,690,833$	38,715,833$	0$	0$

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$	2	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$	76,211,389$	76,211,389$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Kyle Palmieri	AGE:27	PO:81	OV:74
Brandon Saad	AGE:25	PO:73	OV:71
James Neal	AGE:30	PO:78	OV:70
Timo Meier	AGE:21	PO:73	OV:68
Evan Rodrigues	AGE:24	PO:72	OV:67
Alexandre Burrows	AGE:37	PO:65	OV:66
Tyler Ennis	AGE:28	PO:65	OV:63
Kerby Rychel	AGE:23	PO:65	OV:62
Cole Schneider	AGE:27	PO:65	OV:62
Brendan Leipsic	AGE:24	PO:64	OV:60
Michael Bunting	AGE:22	PO:64	OV:59
Ryan Lomberg	AGE:23	PO:61	OV:59
*Maxim Mamin	AGE:23	PO:63	OV:58
Colin Greening	AGE:32	PO:61	OV:58
Daniel Catenacci	AGE:25	PO:57	OV:55
*Dylan Sadowy	AGE:22	PO:50	OV:49

Nicklas Backstrom	AGE:30	PO:80	OV:78
Radek Faksa	AGE:24	PO:75	OV:70
Tyler Bozak	AGE:32	PO:70	OV:69
Christian Fischer	AGE:21	PO:72	OV:67
Evan Rodrigues	AGE:24	PO:72	OV:67
Alexandre Burrows	AGE:37	PO:65	OV:66
Tyler Ennis	AGE:28	PO:65	OV:63
Chris Mueller	AGE:32	PO:65	OV:61
Justin Dowling	AGE:27	PO:64	OV:61
Brendan Leipsic	AGE:24	PO:64	OV:60
Zach O'Brien	AGE:26	PO:58	OV:55
Daniel Catenacci	AGE:25	PO:57	OV:55
*Filip Sandberg	AGE:23	PO:57	OV:54
*Justin Scott	AGE:22	PO:55	OV:54

Vladimir Tarasenko	AGE:26	PO:81	OV:74
Kyle Palmieri	AGE:27	PO:81	OV:74
Brandon Saad	AGE:25	PO:73	OV:71
James Neal	AGE:30	PO:78	OV:70
Timo Meier	AGE:21	PO:73	OV:68
Christian Fischer	AGE:21	PO:72	OV:67
Evan Rodrigues	AGE:24	PO:72	OV:67
Alexandre Burrows	AGE:37	PO:65	OV:66
Logan Shaw	AGE:25	PO:66	OV:64
Tyler Ennis	AGE:28	PO:65	OV:63
Ty Rattie	AGE:25	PO:76	OV:62
Cole Schneider	AGE:27	PO:65	OV:62
Chris Mueller	AGE:32	PO:65	OV:61
*Maxim Mamin	AGE:23	PO:63	OV:58
Colin McDonald	AGE:33	PO:59	OV:57
Zach O'Brien	AGE:26	PO:58	OV:55
*Filip Sandberg	AGE:23	PO:57	OV:54
*Justin Scott	AGE:22	PO:55	OV:54

Défense #1

Défense #2

Gardien

Mathew Dumba	AGE:23	PO:74	OV:75
Alex Goligoski	AGE:32	PO:72	OV:75
Jake Gardiner	AGE:27	PO:68	OV:72
Ryan Murray	AGE:24	PO:64	OV:70
Jordie Benn	AGE:30	PO:64	OV:70
Justin Schultz	AGE:27	PO:65	OV:68
*Will Butcher	AGE:22	PO:63	OV:65
Ville Pokka	AGE:24	PO:58	OV:62
Erik Burgdoerfer	AGE:29	PO:54	OV:60

*Evan McEneny	AGE:24	PO:60	OV:59
Patrick Sieloff	AGE:24	PO:52	OV:58
*Keith Aulie	AGE:29	PO:51	OV:58
Brent Regner	AGE:29	PO:58	OV:57
*Jacob Middleton	AGE:22	PO:54	OV:57
Frankie Simonelli	AGE:25	PO:60	OV:56
Nathan Paetsch	AGE:35	PO:52	OV:56
Sena Acolatse	AGE:27	PO:49	OV:53

Corey Crawford	AGE:33	PO:80	OV:77
Keith Kinkaid	AGE:28	PO:72	OV:70
Harri Sateri	AGE:28	PO:67	OV:66
Al Montoya	AGE:33	PO:59	OV:60

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
Alfons Malmstrom	Islanders	2016	142
Andrew O'Brien	Islanders
Arvid Henrikson	Islanders	2016	202
Austin Wong	Islanders	2018	201
Brock Beukeboom	Islanders	2010	58
Cristiano Digiacinto	Islanders	2014	180
Drake Batherson	Islanders	2017	133
Eetu Makiniemi	Islanders	2017	138
GIANLUCA CURCURUTO	Islanders	2012	183
JONI TUULOLA	Islanders	2015	148
Jack Adams	Islanders	2017	168
Jack McBain	Islanders	2018	50
Joona Koppanen	Islanders	2016	166
Linus Nassen	Islanders	2016	112
MIROSLAV SVOBODA	Islanders	2015	208
Matthew Villalta	Islanders	2017	108
Mikhail Grigorenko	Islanders
Milan Kloucek	Islanders	2018	200
Nick Swaney	Islanders	2017	198
Robin Salo	Islanders	2017	78
Ryan O'Reilly	Islanders	2018	110
STEVEN LORENTZ	Islanders	2015	178
Ty Smith	Islanders	2018	20
Yegor Korshkov	Islanders	2016	37
Yegor Rykov	Islanders	2016	172

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2019	NYI	NYI	NYI	NYI	NYI	NYI	NYI	NYI
2020	NYI	NYI	NYI	NYI	NYI	NYI	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

[2019-04-25 17:22:24] - Islanders was eliminated at round 1 of year 2018.
[2019-04-19 14:55:49] - Bridgeport Sound Tigers didn't make playoff for year 2018.
[2019-02-16 16:52:48] - Pat Sieloff has been deleted from Islanders.
[2019-02-16 16:52:04] - Magnus Hellberg has been deleted from Islanders.
[2019-02-16 16:51:35] - Johan Franzen has been deleted from Islanders.
[2019-02-16 16:51:22] - Garrett Thompson has been deleted from Islanders.
[2019-02-16 16:50:39] - Jeff Penner has been deleted from Islanders.
[2019-02-16 16:49:45] - Danny Kristo has been deleted from Islanders.
[2019-02-16 16:48:42] - Cody Corbett has been deleted from Islanders.
[2019-02-16 16:48:14] - Cal Heeter has been deleted from Islanders.
[2019-02-16 16:47:14] - Angelo Miceli has been deleted from Islanders.
[2019-02-16 16:46:35] - James Melindy has been deleted from Islanders.
[2019-02-16 16:45:54] - Andrew Fritsch has been deleted from Islanders.
[2019-02-16 16:44:55] - Stephen MacAulay has been deleted from Islanders.
[2019-02-16 16:44:00] - Markus Sorensen has been deleted from Islanders.
[2018-11-13 19:22:55] - TRADE : From Rangers to Islanders : James Melindy (P).
[2018-11-13 19:22:55] - TRADE : From Islanders to Rangers : Harrison Ruopp (P), Troy Josephs (P).
[2018-11-13 19:22:01] - TRADE : From Islanders to Sabres : Rasmus Rissanen (P).
[2018-11-13 19:22:01] - TRADE : From Sabres to Islanders : Angelo Miceli (P), Brock Beukeboom (P).
[2018-09-17 15:07:13] - Logan Shaw signed with Islanders for 700 000 $ for 1 year(s) with 0 $ in bonus.
[2018-09-17 15:07:13] - Logan Shaw was added to Islanders.
[2018-09-17 15:07:02] - Patrick Sieloff signed with Islanders for 550 000 $ for 1 year(s) with 0 $ in bonus.
[2018-09-17 15:07:02] - Patrick Sieloff was added to Islanders.

[2019-04-25 17:01:13] Auto Lines Function has been run for Islanders.
[2019-04-24 16:13:51] Alex Goligoski from Islanders is back from Exhaustion.
[2019-04-24 16:13:50] Alex Goligoski from Islanders is injured from Exhaustion.
[2019-04-22 16:47:03] Successfully loaded Islanders lines done with STHS Client - 3.1.6.6
[2019-04-22 16:47:03] Ville Pokka of Islanders was sent down to farm.
[2019-04-19 15:18:52] Auto Lines Function has been run for Islanders.
[2019-04-18 15:08:57] Logan Shaw from Islanders is back from Right Wrist Injury.
[2019-04-18 15:08:57] Vladimir Tarasenko from Islanders is back from Exhaustion.
[2019-04-17 17:31:44] Vladimir Tarasenko from Islanders is injured from Exhaustion.
[2019-04-09 16:12:58] Bridgeport Sound Tigers lines for next game are empty. Current rosters/lines are not erased.

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
2018	5	1	4	0	0	0	0	0	15	20	-5	2	1	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	9	15	-6	2	15	27	42	0	0	5	4	6	0	172	46	72	50	4	189	76	32	86	12	2	16.67%	16	4	75.00%	0	57	121	47.11%	61	115	53.04%	43	86	50.00%	100	56	119	47	88	43
Total Séries	5	1	4	0	0	0	0	0	15	20	-5	2	1	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	9	15	-6	2	15	27	42	0	0	5	4	6	0	172	46	72	50	4	189	76	32	86	12	2	16.67%	16	4	75.00%	0	57	121	47.11%	61	115	53.04%	43	86	50.00%	100	56	119	47	88	43