Ligue Canadienne de Hockey Simulé

Islanders
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
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	Âge	Contrat	Salaire
1	Ryan Dzingel (R)		X			100.00	68	45	79	75	73	81	94	91	65	85	89	82	65	82	61	40	76	78	0	29	2	1,500,000$
2	Jared McCann (R)	X				100.00	77	46	85	76	74	82	87	79	83	83	77	81	76	67	68	79	73	75	0	24	2	900,000$
3	Kevin Labanc (R)			X		100.00	65	35	69	76	72	79	95	88	63	88	78	81	60	61	60	46	76	75	0	25	3	1,250,000$
4	Colin White (R)	X				100.00	59	35	76	73	71	86	84	86	83	86	78	84	60	55	52	81	76	74	0	24	3	1,000,000$
5	Frank Vatrano (R)		X			100.00	82	39	81	70	72	77	89	81	56	76	80	87	68	71	69	42	76	74	0	27	2	900,000$
6	Connor Brown (R)			X		100.00	57	39	87	72	71	82	89	77	58	79	74	89	69	71	67	47	75	73	0	27	2	800,000$
7	Luke Kunin (R)			X		100.00	77	52	75	73	74	85	83	79	76	77	72	81	73	65	66	83	76	72	0	23	1	1,425,000$
8	William Carrier (R)		X			100.00	99	48	78	66	84	75	82	71	56	69	68	69	64	71	67	66	76	69	0	26	3	575,000$
9	Alexander Nylander (R)			X		100.00	56	39	84	70	76	81	83	75	56	75	68	65	70	63	64	87	76	68	0	23	3	575,000$
10	Casey Mittelstadt (R)	X				100.00	60	35	75	68	76	84	90	74	74	72	70	71	61	54	52	86	76	68	0	22	2	925,000$
11	Ben Street (R)	X				100.00	59	41	87	63	72	80	76	68	65	68	66	71	61	82	76	39	75	66	0	34	1	575,000$
12	Darren Archibald (R)		X			100.00	59	77	63	69	80	50	56	76	49	71	68	76	51	54	53	34	77	65	0	31	3	575,000$
13	Brenden Dillon (R)				X	100.00	84	38	68	66	86	74	95	75	30	79	73	88	63	77	76	28	75	76	0	30	1	2,000,000$
14	Justin Holl (R)				X	100.00	79	46	77	65	88	83	79	71	30	79	58	79	50	75	68	57	76	72	0	29	1	750,000$
15	Nick Jensen (R)				X	100.00	71	46	88	63	77	85	88	69	30	78	56	87	45	78	68	42	76	72	0	30	1	900,000$
16	Adam Fox (R)				X	100.00	58	39	80	76	70	85	88	81	30	88	72	75	57	63	66	67	76	72	0	23	3	925,000$
17	Anthony Bitetto (R)				X	100.00	90	47	79	63	79	80	78	69	30	75	53	80	46	78	67	39	76	71	0	30	1	700,000$
18	Markus Nutivaara (R)				X	100.00	72	39	90	65	75	82	81	71	30	78	65	70	52	71	66	48	59	68	0	26	3	575,000$
Rayé
1	Andrew Miller (R)	X				100.00	72	75	60	67	71	63	67	70	59	76	65	68	63	78	74	59	19	66	0	32	2	575,000$
2	Riley Barber (R)			X		100.00	61	47	86	63	75	77	73	71	57	67	65	66	64	71	66	53	19	65	0	27	3	575,000$
3	Sam Carrick (R)	X				100.00	62	45	86	62	75	80	71	68	77	66	66	66	61	75	73	51	19	65	0	29	2	700,000$
4	Eric Robinson (R)		X			100.00	72	43	88	61	81	77	75	67	54	64	62	64	61	69	67	51	19	64	0	25	2	874,125$
5	Tanner Kero (R)	X				100.00	49	31	87	72	71	63	73	65	74	61	58	81	59	67	71	53	20	64	0	28	2	575,000$
6	Juho Lammikko (R)		X			100.00	61	35	73	66	74	64	70	72	63	67	62	69	52	63	52	64	20	63	0	25	2	717,500$
7	Eeli Tolvanen (R)			X		100.00	51	35	67	69	71	52	52	76	50	68	65	69	51	52	52	78	19	62	0	22	2	2,145,833$
8	Saku Maenalanen (R)		X			100.00	66	35	70	66	83	59	67	66	52	61	59	69	57	54	53	53	20	61	0	26	2	925,000$
9	Maxime Lajoie (R)				X	100.00	61	42	89	66	77	83	79	70	30	71	68	76	52	65	63	58	22	68	0	23	2	790,000$
10	Josh Jacobs (R)				X	100.00	73	45	89	59	80	84	73	65	30	63	60	72	50	67	64	72	20	66	0	25	2	925,000$
11	Oliver Kylington (R)				X	100.00	58	39	89	65	71	75	77	71	30	68	66	68	54	65	63	67	19	65	0	24	2	575,000$
12	Adam Boqvist (R)				X	100.00	63	39	88	70	69	76	72	75	30	72	64	66	52	61	62	89	19	65	0	20	3	894,167$

	MOYENNE D'ÉQUIPE					100.00	67	43	80	68	76	76	79	74	52	74	68	75	59	68	64	59	53	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	Mike Condon (R)	100.00	82	88	83	80	83	98	96	95	99	85	84	80	71	33	76	86	0
2	Harri Sateri (R)	100.00	77	77	92	81	85	95	85	84	84	75	51	77	68	44	76	81	0
Rayé
1	Brandon Halverson (R)	100.00	73	58	84	84	82	87	72	72	72	69	50	67	61	66	20	72	0

	MOYENNE D'ÉQUIPE	100.00	77	74	86	82	83	93	84	84	85	76	62	75	67	48	57	80

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bryan Trottier	55	51	63	63	81	76	60	CAN	63	2	500,000$

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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ryan Dzingel	Islanders (NYI)	LW	80	38	50	88	15	51	15	121	156	285	98	176	13.33%	42	1610	20.13	9	12	21	49	223	4	3	7	14	258	5	3	45.17%	569	69	23	0	1.09	0	7	2	1	0	7	2	7
2	Kevin Labanc	Islanders (NYI)	RW	81	28	53	81	12	82	0	150	128	257	71	172	10.89%	43	1591	19.64	3	17	20	31	226	3	1	4	8	217	5	1	39.83%	118	61	27	1	1.02	2	8	0	0	0	1	3	4
3	Colin White	Islanders (NYI)	C	81	23	49	72	29	42	0	108	154	248	92	170	9.27%	24	1371	16.93	4	11	15	20	185	0	0	0	5	75	2	1	49.37%	1197	46	24	0	1.05	2	3	0	0	0	5	5	3
4	Jared McCann	Islanders (NYI)	C	81	25	35	60	3	22	10	153	197	141	50	101	17.73%	37	1498	18.50	8	10	18	20	227	0	0	0	6	139	3	3	53.16%	1631	33	23	0	0.80	1	6	1	1	0	1	2	6
5	Luke Kunin	Islanders (NYI)	RW	81	26	32	58	-11	52	10	126	113	270	85	164	9.63%	19	1189	14.68	1	0	1	2	19	0	0	0	0	0	6	1	43.90%	82	71	26	0	0.98	1	1	1	1	0	6	1	5
6	Connor Brown	Islanders (NYI)	RW	81	23	34	57	26	14	0	76	110	159	57	110	14.47%	27	1277	15.77	4	7	11	15	185	0	0	0	0	0	5	3	42.03%	69	32	19	0	0.89	0	1	0	0	0	3	3	2
7	Frank Vatrano	Islanders (NYI)	LW	81	32	19	51	23	24	0	186	134	223	57	109	14.35%	34	1319	16.29	6	3	9	37	185	0	0	0	1	26	4	3	51.67%	60	45	24	0	0.77	2	6	0	0	0	4	2	2
8	Casey Mittelstadt	Islanders (NYI)	C	81	20	21	41	-7	63	5	96	140	179	45	95	11.17%	24	1176	14.52	0	0	0	0	3	0	0	0	0	16	3	1	47.23%	1084	31	22	0	0.70	0	0	1	0	0	0	3	2
9	William Carrier	Islanders (NYI)	LW	81	8	23	31	-5	68	20	185	81	121	47	72	6.61%	33	1226	15.14	0	0	0	1	4	0	1	1	4	73	0	1	38.38%	99	22	20	0	0.51	0	0	1	0	2	1	1	1
10	Adam Fox	Islanders (NYI)	D	77	6	23	29	-1	29	5	72	123	132	59	48	4.55%	91	1605	20.85	1	1	2	7	166	0	2	2	3	158	0	0	0.00%	0	36	44	0	0.36	0	0	1	0	0	2	1	1
11	Nick Jensen	Islanders (NYI)	D	81	1	26	27	3	10	0	123	145	60	33	24	1.67%	104	1849	22.83	1	4	5	9	221	0	2	2	3	237	1	0	0.00%	0	14	62	0	0.29	0	0	0	0	0	0	0	3
12	Brenden Dillon	Islanders (NYI)	D	72	3	19	22	20	89	15	167	139	77	30	39	3.90%	104	1644	22.84	0	2	2	11	213	0	1	1	3	200	0	0	0.00%	0	28	43	0	0.27	0	0	0	0	2	0	0	0
13	Alexander Nylander	Islanders (NYI)	RW	81	4	14	18	-11	2	0	30	27	111	32	70	3.60%	8	644	7.95	0	0	0	0	3	0	0	0	0	4	0	1	56.00%	25	27	7	1	0.56	0	0	0	0	0	0	2	0
14	Anthony Bitetto	Islanders (NYI)	D	77	0	16	16	2	27	5	153	98	49	32	20	0.00%	69	1335	17.34	0	0	0	1	40	0	1	1	2	46	0	0	0.00%	0	3	37	0	0.24	0	0	0	0	1	0	0	2
15	Darren Archibald	Islanders (NYI)	LW	81	5	9	14	-15	31	15	63	49	113	33	55	4.42%	16	693	8.57	0	0	0	0	0	0	0	0	1	67	0	0	30.00%	10	25	8	0	0.40	0	0	3	0	0	0	0	0
16	Justin Holl	Islanders (NYI)	D	81	2	12	14	-23	53	5	143	134	60	35	28	3.33%	75	1658	20.48	2	0	2	7	146	0	0	0	1	144	0	0	0.00%	0	10	48	0	0.17	0	0	0	0	1	0	0	1
17	Ben Street	Islanders (NYI)	C	81	8	3	11	-11	2	0	45	65	45	12	39	17.78%	12	605	7.48	0	0	0	0	0	0	0	0	0	0	1	0	48.33%	269	9	10	0	0.36	0	0	0	0	0	0	2	1
18	Markus Nutivaara	Islanders (NYI)	D	60	0	8	8	10	4	0	55	65	32	20	17	0.00%	49	991	16.52	0	0	0	0	1	0	0	0	0	44	0	0	0.00%	0	16	25	0	0.16	0	0	0	0	0	0	0	1
19	Maxime Lajoie	Islanders (NYI)	D	29	3	4	7	5	6	0	14	28	33	10	13	9.09%	23	483	16.68	0	0	0	0	0	0	0	0	0	20	0	0	0.00%	0	2	18	0	0.29	0	0	0	0	0	0	1	0
20	Eric Robinson	Islanders (NYI)	LW	1	0	0	0	0	0	0	2	1	1	0	0	0.00%	0	10	10.28	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1449	255	450	705	64	671	105	2068	2087	2596	898	1522	9.82%	834	23782	16.41	39	67	106	210	2056	7	11	18	51	1733	35	18	49.01%	5213	580	510	2	0.59	8	32	10	3	6	30	28	41

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	Mike Condon	Islanders (NYI)	63	35	13	7	0.908	2.86	3489	2	2	166	1807	777	4	1	0.840	25	58	23	5	5	3
2	Harri Sateri	Islanders (NYI)	29	9	16	1	0.879	3.89	1418	19	0	92	763	305	2	4	1.000	7	23	58	3	0	1
Stats d'équipe Total ou en Moyenne			92	44	29	8	0.900	3.16	4907	21	2	258	2570	1082	6	5	0.875	32	81	81	8	5	4

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Nom du 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	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap 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	Link
Adam Boqvist	Islanders (NYI)	D	20	2000-08-15 12:54:58	Yes	181 Lbs	6 ft0	No	No	No	3	Pro & Farm	894,167$

	Islanders
	GP: 81 \| W: 44 \| L: 29 \| OTL: 8 \| P: 96 GF: 272 \| GA: 265 \| PP%: 14.55% \| PK%: 79.86% DG: Libre \| Morale : 85 \| Moyenne d'Équipe : 70 Prochain matchs #977 vs Blackhawks