Ligue Canadienne de Hockey Simulé

Islanders
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Show or Hide Column

Filter Tips

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

#	Player Name	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	Ryan Strome	X				100.00	62	40	87	80	75	82	92	80	86	77	81	84	77	78	74	77	81	76	0
2	Valeri Nichushkin			X		100.00	52	37	93	81	81	76	79	74	61	76	78	78	72	75	71	85	74	73	0
3	Blake Coleman (R)		X			100.00	87	44	72	73	69	81	95	66	78	66	64	77	54	67	59	56	75	69	0
4	Ryan Dzingel (R)			X		100.00	65	42	82	80	68	85	94	72	67	67	74	61	57	75	54	47	83	69	0
5	Jared McCann (R)	X				100.00	63	42	78	75	73	81	82	69	73	70	65	67	56	68	53	81	84	67	0
6	Tanner Kero (R)		X			100.00	52	34	84	77	72	66	73	62	73	59	59	78	59	62	66	58	84	65	0
7	Jordan Nolan (R)		X			100.00	76	45	69	70	83	74	87	60	56	63	61	60	64	65	59	40	84	64	0
8	Darren Archibald (R)			X		100.00	70	42	80	66	81	76	69	61	54	60	62	75	51	65	51	36	76	64	0
9	Anders Bjork (R)			X		100.00	60	41	82	72	67	76	68	65	65	66	63	62	51	66	51	56	40	63	0
10	Andrew Miller (R)	X				100.00	71	74	61	68	61	66	67	63	59	70	62	63	63	72	68	65	84	63	0
11	William Carrier (R)		X			100.00	88	41	75	69	79	72	63	60	60	62	61	62	53	65	57	67	84	63	0
12	Ben Street (R)	X				100.00	64	42	74	72	72	56	57	64	80	62	63	65	66	74	71	55	82	63	0
13	Chris Tanev				X	100.00	61	41	92	78	80	83	77	75	30	71	71	96	50	82	77	36	69	76	0
14	John Moore				X	100.00	75	43	86	70	78	85	97	72	30	67	76	85	67	70	61	68	84	74	0
15	Brenden Dillon (R)				X	100.00	85	44	76	67	87	80	96	71	30	68	67	79	63	69	68	36	84	73	0
16	Derrick Pouliot (R)				X	100.00	67	41	85	66	74	81	87	91	30	85	83	68	71	75	70	85	84	73	0
17	Nick Jensen (R)				X	100.00	65	42	84	66	69	77	96	70	30	69	65	72	55	62	53	41	84	68	0
18	Anthony Bitetto (R)				X	100.00	68	42	79	66	79	78	65	77	30	64	69	68	58	67	66	41	65	67	0
Scratches
1	Colin White (R)	X				100.00	59	44	72	63	70	66	91	60	65	60	60	60	51	62	51	82	64	61	0
2	Alexander Nylander (R)		X			100.00	55	41	77	60	69	59	80	59	50	60	56	60	50	56	50	89	20	58	0
3	Riley Barber (R)			X		100.00	47	35	80	71	74	45	44	58	30	51	55	53	55	59	51	79	19	54	0
4	Blake Speers (R)			X		100.00	37	28	91	71	69	45	40	38	28	33	33	68	48	53	49	95	20	48	0
5	Markus Nutivaara (R)				X	100.00	63	41	85	67	71	77	83	77	30	73	70	62	55	65	53	48	19	66	0
6	Justin Holl (R)				X	100.00	64	43	72	50	79	60	91	58	30	60	55	69	50	55	50	67	20	61	0
7	Oliver Kylington (R)				X	100.00	50	58	76	71	67	53	58	49	25	42	41	57	55	60	60	53	20	55	0

	TEAM AVERAGE					100.00	64	43	80	70	74	71	77	66	50	64	64	69	58	67	60	62	63	65

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Mike Condon (R)	100.00	79	88	83	81	80	93	91	90	98	82	84	77	68	36	75	83	0
2	Harri Sateri (R)	100.00	74	77	92	82	76	91	81	80	80	72	51	72	63	49	84	77	0
Scratches

	TEAM AVERAGE	100.00	77	83	88	82	78	92	86	85	89	77	68	75	66	43	80	80

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Tortorella	64	69	68	66	99	99	77	USA	60	2	800,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	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	FL	FT	S1	S2	S3
1	Ryan Strome	Islanders (NYI)	C	80	31	52	83	0	22	0	125	227	303	114	179	10.23%	37	1728	21.60	13	24	37	50	247	0	1	1	5	254	5	1	54.79%	1504	72	33	0	1	0.96	3	16	0	0	9	3	6
2	Valeri Nichushkin	Islanders (NYI)	RW	73	31	45	76	4	4	0	106	170	310	97	196	10.00%	42	1549	21.23	16	24	40	63	248	0	2	2	9	239	5	2	41.29%	373	63	27	1	1	0.98	4	12	0	0	5	8	3
3	Ryan Dzingel	Islanders (NYI)	RW	78	36	25	61	-3	38	0	164	133	306	90	194	11.76%	34	1523	19.53	6	12	18	31	222	1	0	1	4	165	8	2	41.41%	128	65	25	0	0	0.80	3	10	0	0	7	7	5
4	Derrick Pouliot	Islanders (NYI)	D	82	9	40	49	16	26	0	92	133	169	81	88	5.33%	80	1744	21.27	2	14	16	18	271	0	0	0	2	148	2	0	0.00%	0	46	45	0	0	0.56	1	1	0	0	1	1	4
5	Jared McCann	Islanders (NYI)	C	78	11	32	43	-4	74	0	155	212	196	62	113	5.61%	40	1372	17.59	5	9	14	23	209	0	0	0	3	53	0	0	48.72%	1447	38	22	0	1	0.63	1	2	0	0	1	1	2
6	Blake Coleman	Islanders (NYI)	LW	78	18	23	41	4	130	0	210	150	139	34	74	12.95%	47	1545	19.82	8	12	20	29	288	0	0	0	2	121	2	1	51.11%	855	10	39	2	0	0.53	2	6	0	0	0	0	2
7	John Moore	Islanders (NYI)	D	78	8	24	32	-1	26	0	149	164	95	49	43	8.42%	105	1871	23.99	7	6	13	17	272	0	0	0	1	246	0	0	0.00%	0	16	57	0	0	0.34	0	1	0	0	0	2	3
8	Chris Tanev	Islanders (NYI)	D	77	3	25	28	-12	5	5	88	145	131	41	43	2.29%	103	1634	21.22	2	5	7	21	178	1	1	2	10	238	1	0	0.00%	0	44	53	0	0	0.34	0	0	0	1	0	0	4
9	Tanner Kero	Islanders (NYI)	LW	78	17	9	26	-7	14	0	89	93	113	43	71	15.04%	23	1234	15.82	7	4	11	12	180	0	0	0	0	2	1	0	46.97%	66	14	24	0	0	0.42	0	0	0	0	0	3	1
10	Brenden Dillon	Islanders (NYI)	D	78	4	17	21	19	60	0	173	157	90	35	47	4.44%	93	1684	21.60	1	3	4	8	197	0	0	0	0	191	0	0	0.00%	0	21	60	0	0	0.25	0	0	0	0	0	1	2
11	Jordan Nolan	Islanders (NYI)	LW	78	6	12	18	1	68	0	188	91	108	40	62	5.56%	21	1071	13.74	0	0	0	0	45	0	0	0	1	76	1	1	46.43%	56	13	21	0	0	0.34	0	0	0	0	0	1	2
12	Ben Street	Islanders (NYI)	C	78	9	8	17	-4	52	10	77	102	151	45	90	5.96%	14	864	11.08	0	0	0	0	0	0	0	0	2	9	2	0	50.41%	615	26	15	0	0	0.39	0	0	1	1	0	1	1
13	Andrew Miller	Islanders (NYI)	C	78	3	11	14	-7	26	0	80	45	74	34	51	4.05%	17	591	7.59	0	0	0	0	7	0	0	0	0	35	0	1	42.59%	54	13	9	0	0	0.47	0	0	0	0	0	0	0
14	Darren Archibald	Islanders (NYI)	RW	78	4	10	14	-4	28	0	127	88	82	36	58	4.88%	23	950	12.19	0	2	2	1	34	0	0	0	0	0	1	1	43.24%	37	14	23	0	0	0.29	0	0	0	0	1	1	0
15	Anthony Bitetto	Islanders (NYI)	D	75	1	11	12	-23	38	0	77	83	73	25	30	1.37%	69	1078	14.38	0	0	0	0	13	0	0	0	1	35	0	1	0.00%	0	16	32	0	0	0.22	0	0	0	0	1	0	0
16	Nick Jensen	Islanders (NYI)	D	78	1	8	9	-20	39	5	49	96	61	28	26	1.64%	76	1136	14.56	0	0	0	0	23	0	0	0	0	25	0	0	0.00%	0	12	36	0	0	0.16	0	0	0	1	0	0	0
17	William Carrier	Islanders (NYI)	LW	78	6	1	7	-10	16	0	92	46	68	14	24	8.82%	18	601	7.71	0	0	0	0	3	0	0	0	3	64	1	0	47.06%	17	9	11	0	0	0.23	0	0	0	0	0	0	0
18	Colin White	Islanders (NYI)	C	67	0	4	4	-12	10	0	20	41	20	7	17	0.00%	10	442	6.60	0	0	0	0	2	0	0	0	0	2	0	0	43.10%	174	0	11	0	0	0.18	0	0	0	0	0	0	0
19	Anders Bjork	Islanders (NYI)	RW	11	2	0	2	1	2	0	3	5	17	4	10	11.76%	2	93	8.48	0	0	0	0	2	0	0	0	1	18	0	0	33.33%	9	2	0	0	0	0.43	0	0	0	0	0	0	0
20	Riley Barber	Islanders (NYI)	RW	5	0	0	0	-3	0	0	0	4	5	0	2	0.00%	2	34	6.84	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0
21	Markus Nutivaara	Islanders (NYI)	D	4	0	0	0	1	2	0	5	4	4	2	1	0.00%	6	57	14.35	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	3	2	0	0	0.00	0	0	0	0	0	0	0
Team Total or Average				1410	200	357	557	-64	680	20	2069	2189	2515	881	1419	7.95%	862	22809	16.18	67	115	182	273	2449	2	4	6	44	1928	29	10	49.95%	5335	497	545	3	3	0.49	14	48	1	3	25	29	35

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	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)	57	29	21	7	0.915	2.67	3410	6	1	152	1793	789	3	1	0.742	31	57	11	7	5	4
2	Harri Sateri	Islanders (NYI)	7	1	2	0	0.888	3.46	260	0	0	15	134	63	1	0	0.000	0	2	76	0	0	0
Team Total or Average			64	30	23	7	0.913	2.73	3670	6	1	167	1927	852	4	1	0.742	31	59	87	7	5	4

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap
Alexander Nylander	Islanders (NYI)	LW	21	1998-03-02 09:06:12	Yes	181 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	894,166$	0$	0$	No
Anders Bjork	Islanders (NYI)	RW	22	1996-08-05 11:08:17	Yes	186 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	1,066,670$	0$	0$	No
Andrew Miller	Islanders (NYI)	C	30	1988-09-18 05:11:13	Yes	184 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	575,000$	0$	0$	No
Anthony Bitetto	Islanders (NYI)	D	28	1990-07-15 17:11:13	Yes	210 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	700,000$	0$	0$	No
Ben Street	Islanders (NYI)	C	32	1987-02-13 23:11:13	Yes	199 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	575,000$	0$	0$	No
Blake Coleman	Islanders (NYI)	LW	27	1991-11-28 09:08:43	Yes	201 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	660,000$	0$	0$	No
Blake Speers	Islanders (NYI)	RW	22	1997-01-02 09:11:02	Yes	189 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	728,333$	0$	0$	No
Brenden Dillon	Islanders (NYI)	D	28	1990-11-13 12:29:45	Yes	227 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	3,270,000$	0$	0$	No
Chris Tanev	Islanders (NYI)	D	29	1989-12-20 11:11:13	No	195 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	2,500,000$	0$	0$	No
Colin White	Islanders (NYI)	C	22	1997-01-30 09:13:28	Yes	184 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	925,000$	0$	0$	No
Darren Archibald	Islanders (NYI)	RW	29	1990-02-09 03:35:07	Yes	210 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	650,000$	0$	0$	No
Derrick Pouliot	Islanders (NYI)	D	25	1994-01-16 17:11:13	Yes	208 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	1,500,000$	0$	0$	No
Harri Sateri	Islanders (NYI)	G	29	1989-12-29 07:21:10	Yes	205 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	650,000$	0$	0$	No
Jared McCann	Islanders (NYI)	C	22	1996-05-30 05:11:13	Yes	198 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	1,107,000$	0$	0$	No
John Moore	Islanders (NYI)	D	28	1990-11-19 17:11:13	No	210 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	1,850,000$	0$	0$	No
Jordan Nolan	Islanders (NYI)	LW	29	1989-06-23 11:11:13	Yes	219 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	575,000$	0$	0$	No
Justin Holl	Islanders (NYI)	D	27	1992-01-30 03:50:34	Yes	205 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No
Markus Nutivaara	Islanders (NYI)	D	24	1994-06-06 08:48:59	Yes	191 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	817,500$	0$	0$	No
Mike Condon	Islanders (NYI)	G	28	1990-04-27 04:16:15	Yes	198 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	575,000$	0$	0$	No
Nick Jensen	Islanders (NYI)	D	28	1990-09-21 04:18:15	Yes	199 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	812,500$	0$	0$	No
Oliver Kylington	Islanders (NYI)	D	21	1997-05-19 11:11:13	Yes	182 Lbs	6 ft2	No	No	No	1	ELC	Pro & Farm	925,000$	0$	0$	No
Riley Barber	Islanders (NYI)	RW	25	1994-02-07 09:24:16	Yes	197 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	692,500$	0$	0$	No
Ryan Dzingel	Islanders (NYI)	RW	27	1992-03-09 06:32:49	Yes	190 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No
Ryan Strome	Islanders (NYI)	C	25	1993-07-11 11:11:13	No	195 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	2,500,000$	0$	0$	No
Tanner Kero	Islanders (NYI)	LW	26	1992-07-24 19:58:52	Yes	185 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	667,000$	0$	0$	No
Valeri Nichushkin	Islanders (NYI)	RW	24	1995-03-04 23:11:13	No	214 Lbs	6 ft6	No	No	No	2	RFA	Pro & Farm	1,100,000$	0$	0$	No
William Carrier	Islanders (NYI)	LW	24	1994-12-20 09:15:44	Yes	215 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	689,167$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	26.00	199 Lbs	6 ft1	1.93	1,061,290$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Blake Coleman	Ryan Strome	Valeri Nichushkin	35	1	2	2
2	Tanner Kero	Jared McCann	Ryan Dzingel	35	1	2	2
3	Jordan Nolan	Ben Street	Darren Archibald	25	1	2	2
4	William Carrier	Andrew Miller	Anders Bjork	5	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Chris Tanev	John Moore	35	1	2	2
2	Brenden Dillon	Derrick Pouliot	35	1	2	2
3	Nick Jensen	Anthony Bitetto	30	1	2	2
4	Chris Tanev	John Moore	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Blake Coleman	Ryan Strome	Valeri Nichushkin	60	1	2	2
2	Tanner Kero	Jared McCann	Ryan Dzingel	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Chris Tanev	John Moore	60	1	2	2
2	Brenden Dillon	Derrick Pouliot	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Strome	Valeri Nichushkin	60	1	2	2
2	Ryan Dzingel	Blake Coleman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Chris Tanev	John Moore	60	1	2	2
2	Brenden Dillon	Derrick Pouliot	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Ryan Strome	60	1	2	2	Chris Tanev	John Moore	60	1	2	2
2	Valeri Nichushkin	40	1	2	2	Brenden Dillon	Derrick Pouliot	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Strome	Valeri Nichushkin	60	1	2	2
2	Ryan Dzingel	Blake Coleman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Chris Tanev	John Moore	60	1	2	2
2	Brenden Dillon	Derrick Pouliot	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Blake Coleman	Ryan Strome	Valeri Nichushkin	Chris Tanev	John Moore

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Blake Coleman	Ryan Strome	Valeri Nichushkin	Chris Tanev	John Moore

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jordan Nolan, Darren Archibald, Anders Bjork	Jordan Nolan, Darren Archibald	Anders Bjork

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Nick Jensen, Anthony Bitetto, Brenden Dillon	Nick Jensen	Anthony Bitetto, Brenden Dillon

Penalty Shots
Ryan Strome, Valeri Nichushkin, Ryan Dzingel , Blake Coleman, Jared McCann

Goalie
#1 : Mike Condon, #2 : Harri Sateri

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	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	Avalanche	2	0	1	0	1	0	0	0	5	7	-2	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	5	9	14	0	0	58	80	84	16	63	871	883	900	82	74	21	18	66	6	0	0.00%	9	3	66.67%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
2	Blackhawks	2	0	0	0	1	0	0	1	4	4	0	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	1	0	0	0	2	1	1	3	0.750	4	8	12	0	0	58	80	84	16	74	871	883	900	82	60	20	8	64	7	0	0.00%	4	0	100.00%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
3	Blues	2	0	2	0	0	0	0	0	4	13	-9	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	9	-7	0	0.000	4	8	12	0	0	58	80	84	16	65	871	883	900	82	67	19	36	54	4	1	25.00%	8	5	37.50%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
4	Bruins	4	0	1	0	0	0	2	1	14	16	-2	2	0	1	0	0	0	1	0	6	8	-2	2	0	0	0	0	0	1	1	8	8	0	5	0.625	14	22	36	0	0	58	80	84	16	129	871	883	900	82	138	33	30	123	17	5	29.41%	15	2	86.67%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
5	Canadiens	4	1	3	0	0	0	0	0	9	10	-1	2	0	2	0	0	0	0	0	3	6	-3	2	1	1	0	0	0	0	0	6	4	2	2	0.250	9	16	25	0	0	58	80	84	16	157	871	883	900	82	137	58	22	108	13	3	23.08%	11	3	72.73%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
6	Canucks	2	1	0	0	0	1	0	0	4	4	0	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	4	7	11	0	0	58	80	84	16	77	871	883	900	82	53	24	8	44	10	0	0.00%	4	1	75.00%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
7	Capitals	6	5	1	0	0	0	0	0	27	14	13	3	3	0	0	0	0	0	0	12	6	6	3	2	1	0	0	0	0	0	15	8	7	10	0.833	27	45	72	0	0	58	80	84	16	208	871	883	900	82	204	73	76	178	30	10	33.33%	38	7	81.58%	1	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
8	Devils	6	4	1	0	0	0	1	0	23	16	7	3	1	1	0	0	0	1	0	12	12	0	3	3	0	0	0	0	0	0	11	4	7	10	0.833	23	40	63	0	0	58	80	84	16	206	871	883	900	82	204	70	56	160	43	13	30.23%	28	4	85.71%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
9	Ducks	2	1	1	0	0	0	0	0	3	7	-4	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	3	5	8	0	0	58	80	84	16	70	871	883	900	82	59	23	18	49	4	0	0.00%	9	1	88.89%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
10	Flames	2	0	1	0	0	0	0	1	4	6	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	1	0.250	4	6	10	0	0	58	80	84	16	65	871	883	900	82	73	21	28	47	4	2	50.00%	14	4	71.43%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
11	Flyers	6	3	1	0	1	0	1	0	20	12	8	3	2	1	0	0	0	0	0	12	8	4	3	1	0	0	1	0	1	0	8	4	4	10	0.833	20	34	54	0	0	58	80	84	16	198	871	883	900	82	198	68	63	174	39	7	17.95%	29	4	86.21%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
12	Kings	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	3	5	8	0	0	58	80	84	16	63	871	883	900	82	71	22	22	50	3	0	0.00%	11	4	63.64%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
13	Maple Leafs	4	1	2	0	0	0	0	1	9	10	-1	2	0	1	0	0	0	0	1	4	7	-3	2	1	1	0	0	0	0	0	5	3	2	3	0.375	9	17	26	0	0	58	80	84	16	145	871	883	900	82	128	43	36	101	11	2	18.18%	18	4	77.78%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
14	Oilers	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	6	10	0	0	58	80	84	16	60	871	883	900	82	63	27	16	55	6	1	16.67%	8	1	87.50%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
15	Penguins	6	3	0	0	0	0	2	1	27	20	7	3	1	0	0	0	0	1	1	15	12	3	3	2	0	0	0	0	1	0	12	8	4	11	0.917	27	40	67	0	0	58	80	84	16	210	871	883	900	82	210	79	76	149	35	9	25.71%	37	7	81.08%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
16	Predators	2	0	2	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	2	4	6	1	0	58	80	84	16	65	871	883	900	82	67	17	12	52	6	0	0.00%	6	0	100.00%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
17	Rangers	6	1	4	0	0	1	0	0	16	24	-8	3	1	2	0	0	0	0	0	7	12	-5	3	0	2	0	0	1	0	0	9	12	-3	3	0.250	16	25	41	0	0	58	80	84	16	190	871	883	900	82	205	90	86	165	31	9	29.03%	38	9	76.32%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
18	Red Wings	4	2	2	0	0	0	0	0	13	12	1	2	1	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	6	6	0	4	0.500	13	21	34	0	0	58	80	84	16	144	871	883	900	82	140	49	26	79	17	6	35.29%	13	2	84.62%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
19	Sabres	4	2	1	0	0	0	1	0	13	10	3	2	1	1	0	0	0	0	0	5	5	0	2	1	0	0	0	0	1	0	8	5	3	6	0.750	13	21	34	0	0	58	80	84	16	139	871	883	900	82	121	52	20	111	13	2	15.38%	10	1	90.00%	1	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
20	Senateurs	4	4	0	0	0	0	0	0	14	4	10	2	2	0	0	0	0	0	0	5	1	4	2	2	0	0	0	0	0	0	9	3	6	8	1.000	14	22	36	0	1	58	80	84	16	145	871	883	900	82	133	41	18	99	17	3	17.65%	9	0	100.00%	1	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
21	Sharks	2	1	0	0	0	0	0	1	5	3	2	1	0	0	0	0	0	0	1	1	2	-1	1	1	0	0	0	0	0	0	4	1	3	3	0.750	5	9	14	0	0	58	80	84	16	71	871	883	900	82	63	24	12	46	8	3	37.50%	6	0	100.00%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
22	Stars	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	7	12	0	0	58	80	84	16	70	871	883	900	82	65	30	10	56	8	4	50.00%	5	1	80.00%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
	Total	78	30	29	0	3	2	8	6	233	226	7	39	15	14	0	1	0	4	5	116	114	2	39	15	15	0	2	2	4	1	117	112	5	90	0.577	233	384	617	1	1	58	80	84	16	2692	871	883	900	82	2583	922	715	2089	339	82	24.19%	339	66	80.53%	3	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
24	Wild	2	0	1	0	0	0	1	0	5	7	-2	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	5	7	12	0	0	58	80	84	16	78	871	883	900	82	50	18	18	59	7	2	28.57%	9	3	66.67%	0	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
	_Since Last GM Reset	78	30	29	0	3	2	8	6	233	226	7	39	15	14	0	1	0	4	5	116	114	2	39	15	15	0	2	2	4	1	117	112	5	90	0.577	233	384	617	1	1	58	80	84	16	2692	871	883	900	82	2583	922	715	2089	339	82	24.19%	339	66	80.53%	3	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
	_Vs Conference	54	26	16	0	1	1	7	3	185	148	37	27	12	10	0	0	0	3	2	88	83	5	27	14	6	0	1	1	4	1	97	65	32	72	0.667	185	303	488	0	1	58	80	84	16	1871	871	883	900	82	1818	656	509	1447	266	69	25.94%	246	43	82.52%	3	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
	_Vs Division	30	16	7	0	1	1	4	1	113	86	27	15	8	4	0	0	0	2	1	58	50	8	15	8	3	0	1	1	2	0	55	36	19	44	0.733	113	184	297	0	0	58	80	84	16	1012	871	883	900	82	1021	380	357	826	178	48	26.97%	170	31	81.76%	1	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
78	90	W3	233	384	617	2692	2583	922	715	2089	1	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
78	30	29	3	2	8	6	233	226

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	15	14	1	0	4	5	116	114

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	15	15	2	2	4	1	117	112

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
339	82	24.19%	339	66	80.53%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
871	883	900	82	58	80	84	16

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1696	973	1708	730	1356	674

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link
2 - 2018-09-30	5	Islanders	4	Devils	2	W				BoxScore
4 - 2018-10-02	16	Islanders	4	Penguins	2	W			R3	BoxScore
6 - 2018-10-04	24	Devils	4	Islanders	5	W	X	X		BoxScore
8 - 2018-10-06	35	Islanders	3	Flyers	2	W	X	X		BoxScore
10 - 2018-10-08	45	Flyers	1	Islanders	5	W				BoxScore
13 - 2018-10-11	62	Capitals	3	Islanders	5	W			R3	BoxScore
16 - 2018-10-14	75	Islanders	8	Capitals	1	W				BoxScore
18 - 2018-10-16	86	Rangers	4	Islanders	3	L				BoxScore
21 - 2018-10-19	103	Islanders	1	Rangers	2	L				BoxScore
23 - 2018-10-21	113	Penguins	3	Islanders	6	W			R3	BoxScore
25 - 2018-10-23	124	Red Wings	4	Islanders	3	L				BoxScore
27 - 2018-10-25	131	Islanders	3	Sabres	1	W				BoxScore
32 - 2018-10-30	153	Rangers	7	Islanders	2	L				BoxScore
34 - 2018-11-01	168	Islanders	1	Canadiens	3	L				BoxScore
36 - 2018-11-03	177	Maple Leafs	3	Islanders	2	L	X	X		BoxScore
38 - 2018-11-05	191	Islanders	2	Flyers	1	W	X			BoxScore
41 - 2018-11-08	204	Flames	3	Islanders	2	L	X	X		BoxScore
44 - 2018-11-11	219	Red Wings	2	Islanders	4	W				BoxScore
46 - 2018-11-13	229	Islanders	4	Red Wings	2	W				BoxScore
50 - 2018-11-17	245	Canadiens	3	Islanders	2	L				BoxScore
52 - 2018-11-19	258	Islanders	0	Predators	5	L				BoxScore
54 - 2018-11-21	266	Avalanche	3	Islanders	4	W	X			BoxScore
58 - 2018-11-25	289	Islanders	1	Stars	2	L				BoxScore
59 - 2018-11-26	294	Devils	3	Islanders	4	W				BoxScore
63 - 2018-11-30	314	Ducks	1	Islanders	2	W				BoxScore
65 - 2018-12-02	324	Islanders	5	Canadiens	1	W				BoxScore
68 - 2018-12-05	335	Islanders	5	Rangers	6	L				BoxScore
69 - 2018-12-06	343	Penguins	6	Islanders	7	W	X	X	R3	BoxScore
72 - 2018-12-09	359	Islanders	2	Blues	9	L				BoxScore
73 - 2018-12-10	365	Oilers	3	Islanders	2	L				BoxScore
77 - 2018-12-14	387	Flyers	5	Islanders	1	L				BoxScore
79 - 2018-12-16	396	Islanders	5	Sabres	4	W	X	X		BoxScore
81 - 2018-12-18	407	Islanders	3	Rangers	4	L	X			BoxScore
82 - 2018-12-19	416	Devils	5	Islanders	3	L				BoxScore
85 - 2018-12-22	432	Islanders	4	Sharks	1	W				BoxScore
86 - 2018-12-23	439	Penguins	3	Islanders	2	L	X	X	R3	BoxScore
89 - 2018-12-26	458	Maple Leafs	4	Islanders	2	L				BoxScore
90 - 2018-12-27	467	Islanders	4	Maple Leafs	1	W				BoxScore
92 - 2018-12-29	480	Senateurs	1	Islanders	3	W				BoxScore
94 - 2018-12-31	489	Islanders	1	Maple Leafs	2	L				BoxScore
97 - 2019-01-03	502	Islanders	2	Wild	5	L				BoxScore
98 - 2019-01-04	512	Canucks	1	Islanders	2	W				BoxScore
102 - 2019-01-08	531	Canadiens	3	Islanders	1	L				BoxScore
104 - 2019-01-10	545	Islanders	2	Oilers	4	L				BoxScore
105 - 2019-01-11	554	Sabres	2	Islanders	4	W				BoxScore
107 - 2019-01-13	565	Islanders	3	Flyers	1	W				BoxScore
110 - 2019-01-16	578	Kings	3	Islanders	2	L				BoxScore
112 - 2019-01-18	589	Islanders	2	Red Wings	4	L				BoxScore
114 - 2019-01-20	601	Islanders	5	Capitals	2	W			R3	BoxScore
116 - 2019-01-22	607	Blues	4	Islanders	2	L				BoxScore
118 - 2019-01-24	613	Islanders	2	Devils	1	W				BoxScore
120 - 2019-01-26	629	Islanders	1	Ducks	6	L				BoxScore
121 - 2019-01-27	634	Blackhawks	3	Islanders	2	L	X	X		BoxScore
125 - 2019-01-31	651	Islanders	2	Capitals	5	L			R3	BoxScore
126 - 2019-02-01	658	Senateurs	0	Islanders	2	W				BoxScore
129 - 2019-02-04	670	Islanders	2	Flames	3	L				BoxScore
130 - 2019-02-05	682	Predators	4	Islanders	2	L				BoxScore
134 - 2019-02-09	693	Islanders	5	Devils	1	W				BoxScore
136 - 2019-02-11	705	Bruins	3	Islanders	4	W	X	X		BoxScore
139 - 2019-02-14	715	Islanders	2	Blackhawks	1	W	X			BoxScore
142 - 2019-02-17	730	Wild	2	Islanders	3	W	X	X		BoxScore
145 - 2019-02-20	744	Islanders	1	Avalanche	4	L				BoxScore
147 - 2019-02-22	752	Sharks	2	Islanders	1	L	X	X		BoxScore
149 - 2019-02-24	763	Islanders	1	Kings	4	L				BoxScore
151 - 2019-02-26	775	Islanders	5	Bruins	4	W	X	X		BoxScore
153 - 2019-02-28	782	Stars	2	Islanders	4	W				BoxScore
155 - 2019-03-02	794	Islanders	6	Senateurs	2	W				BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2019-03-04	803	Islanders	2	Canucks	3	L	X			BoxScore
158 - 2019-03-05	810	Capitals	2	Islanders	4	W			R3	BoxScore
160 - 2019-03-07	822	Islanders	4	Penguins	3	W			R3	BoxScore
162 - 2019-03-09	833	Bruins	5	Islanders	2	L				BoxScore
165 - 2019-03-12	850	Islanders	3	Bruins	4	L	X	X		BoxScore
167 - 2019-03-14	859	Capitals	1	Islanders	3	W			R3	BoxScore
172 - 2019-03-19	879	Rangers	1	Islanders	2	W				BoxScore
176 - 2019-03-23	898	Sabres	3	Islanders	1	L				BoxScore
178 - 2019-03-25	907	Islanders	4	Penguins	3	W	X	X	R3	BoxScore
179 - 2019-03-26	913	Islanders	3	Senateurs	1	W				BoxScore
183 - 2019-03-30	931	Flyers	2	Islanders	6	W				BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	25
Attendance	64,969	32,020
Attendance PCT	83.29%	82.10%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2487 - 82.90%	70,652$	2,755,440$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,563,316$	2,865,484$	1,704,784$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
15,489$	2,763,361$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	19,813$	0$

Show or Hide Column

	Overall											Home											Visitor
Year	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
13	78	30	29	0	3	2	8	6	233	226	7	39	15	14	0	1	0	4	5	116	114	2	39	15	15	0	2	2	4	1	117	112	5	90	233	384	617	1	1	58	80	84	16	2692	871	883	900	82	2583	922	715	2089	339	82	24.19%	339	66	80.53%	3	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674
Total Regular Season	78	30	29	0	3	2	8	6	233	226	7	39	15	14	0	1	0	4	5	116	114	2	39	15	15	0	2	2	4	1	117	112	5	90	233	384	617	1	1	58	80	84	16	2692	871	883	900	82	2583	922	715	2089	339	82	24.19%	339	66	80.53%	3	1040	2093	49.69%	1042	2083	50.02%	579	1154	50.17%	1696	973	1708	730	1356	674