LHSDB - Ligue de hockey simulee des debiles barbus

New York Islanders
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

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	Michael Amadio	0	X	X	X		100.00	73	36	93	72	79	86	89	68	59	69	66	70	67	74	72	51	50	69	0
2	Danton Heinen	0	X	X			100.00	70	39	88	68	78	80	86	66	74	69	67	70	65	76	73	46	50	68	0
3	Kirby Dach	0	X				100.00	75	41	76	74	91	85	77	69	75	67	68	66	72	67	66	86	50	68	0
4	Matvei Gridin (R)	0			X		100.00	63	38	92	67	74	89	88	68	65	69	62	64	67	61	63	82	50	66	0
5	Ross Johnston	0		X			100.00	87	85	60	66	96	74	79	64	57	61	60	65	59	74	73	27	50	65	0
6	Avery Hayes	0	X	X	X		100.00	67	39	71	66	68	87	82	65	62	57	68	59	64	65	67	42	50	63	0
7	Jonah Gadjovich	0		X	X		100.00	86	77	65	66	86	72	69	62	58	60	61	63	56	68	69	59	50	63	0
8	Florian Xhekaj	0		X	X		100.00	72	68	52	63	82	77	86	58	55	61	59	62	57	63	64	62	50	62	0
9	Josh Dunne	0	X				100.00	76	47	73	60	88	77	80	57	63	56	61	62	55	68	70	36	50	62	0
10	Brian Halonen	0		X			100.00	69	40	79	62	76	82	84	59	55	56	64	58	62	67	69	37	50	62	0
11	Ty Mueller	0	X				100.00	63	37	86	62	69	80	85	58	64	60	59	65	61	63	66	62	50	62	0
12	Andrew Agozzino	0	X				100.00	69	38	78	60	68	83	81	57	63	59	61	58	56	75	77	23	50	61	0
13	Lleyton Roed	0		X			100.00	61	37	91	60	70	82	83	59	63	60	58	57	61	64	66	43	50	61	0
14	Cedric Pare	0	X				100.00	75	52	75	59	84	75	83	56	60	58	57	61	55	67	69	42	50	61	0
15	Kaleb Lawrence	0	X				100.00	90	69	58	56	99	68	69	54	59	53	55	62	56	63	65	49	50	60	0
16	Dino Kambeitz	0			X		100.00	74	42	73	56	83	70	82	54	52	53	55	58	51	66	68	42	50	59	0
17	Eddie Genborg (R)	0			X		100.00	64	40	77	56	73	81	63	53	57	55	54	52	58	59	61	75	50	56	0
18	Nils Lundkvist	0				X	100.00	64	35	88	71	76	86	77	69	30	70	56	63	52	67	66	76	50	66	0
19	Corey Schueneman	0				X	100.00	61	37	88	59	73	81	86	57	30	58	53	61	47	71	73	34	50	63	0
20	Alex Kannok-Leipert	0				X	100.00	83	80	68	56	72	64	83	54	30	55	53	57	45	66	68	47	50	60	0
21	Aaron Ness	0				X	100.00	58	38	79	56	67	64	76	54	30	55	53	57	45	76	81	36	50	59	0
22	Brayden Hislop	0				X	100.00	65	37	95	60	74	66	64	57	30	60	50	56	45	63	65	46	50	59	0
Scratches
1	Arnaud Durandeau (R)	0		X			100.00	62	38	87	54	71	73	62	52	56	55	50	53	51	67	69	42	50	56	0

	TEAM AVERAGE					100.00	71	47	78	62	78	77	79	60	54	60	59	61	57	67	69	50	50	62

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	Pheonix Copley	100.00	77	86	80	87	76	75	77	76	75	77	76	74	88	44	50	76	0
2	Laurent Brossoit	100.00	75	76	71	84	74	73	75	74	73	75	74	75	87	46	50	74	0
Scratches
1	Georgi Romanov	100.00	74	82	78	91	73	72	74	73	72	74	73	67	77	53	50	74	0
2	Spencer Martin	100.00	74	84	79	82	73	72	74	73	72	74	73	71	85	52	50	74	0
3	Dustin Tokarski	100.00	72	76	70	74	71	70	72	71	70	72	71	77	91	26	50	71	0

	TEAM AVERAGE	100.00	74	81	76	84	73	72	74	73	72	74	73	73	86	44	50	74

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Marc Savard	66	64	70	65	72	67	78	CAN	48	3	1,000,000$

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	PKS	PKM	GW	GT	FO%	FOT	P/20	PSS	FT	S1	S2	S3
1	Kirby Dach	Islanders (NYI)	C	7	6	7	13	10	0	0	11	21	39	12	31	15.38%	0	171	24.54	2	1	3	11	29	3	34	0	0	68.75%	240	1.51	1	0	2	1	1
2	Nils Lundkvist	Islanders (NYI)	D	7	5	8	13	10	6	0	12	8	10	3	6	50.00%	4	175	25.06	3	2	5	4	29	0	23	0	0	0.00%	0	1.48	0	0	1	0	2
3	Jonah Gadjovich	Islanders (NYI)	LW/RW	7	2	9	11	7	23	5	23	3	24	6	20	8.33%	3	130	18.63	0	4	4	7	29	2	22	0	1	46.15%	13	1.69	0	1	1	0	0
4	Michael Amadio	Islanders (NYI)	C/LW/RW	7	5	6	11	7	2	0	2	11	29	5	16	17.24%	2	112	16.06	0	3	3	6	30	0	0	2	0	61.84%	76	1.96	1	0	1	1	0
5	Danton Heinen	Islanders (NYI)	C/LW	7	5	5	10	10	4	0	1	14	35	7	21	14.29%	0	107	15.34	0	0	0	0	0	1	6	1	0	66.67%	6	1.86	0	0	1	1	0
6	Ross Johnston	Islanders (NYI)	LW	7	1	7	8	10	16	0	25	6	21	5	16	4.76%	1	144	20.61	0	2	2	1	29	0	11	0	0	77.78%	9	1.11	0	0	0	0	1
7	Matvei Gridin	Islanders (NYI)	RW	7	6	2	8	4	0	0	3	13	39	7	22	15.38%	1	134	19.27	3	1	4	14	29	0	15	1	0	73.33%	30	1.19	0	0	0	1	1
8	Josh Dunne	Islanders (NYI)	C	7	1	6	7	10	6	0	13	5	10	5	4	10.00%	1	132	18.86	0	1	1	3	27	0	0	0	0	72.73%	44	1.06	0	0	0	1	1
9	Corey Schueneman	Islanders (NYI)	D	7	2	4	6	6	0	0	1	5	6	3	4	33.33%	4	164	23.54	2	1	3	6	29	0	31	1	0	0.00%	0	0.73	0	0	0	1	0
10	Brayden Hislop	Islanders (NYI)	D	7	2	3	5	10	4	0	10	3	4	1	4	50.00%	4	126	18.09	0	0	0	0	4	0	10	0	0	0.00%	0	0.79	0	0	0	0	0
11	Avery Hayes	Islanders (NYI)	C/LW/RW	7	2	2	4	5	4	0	5	5	22	5	13	9.09%	0	87	12.50	0	0	0	0	0	0	1	0	1	60.98%	82	0.91	0	0	1	0	0
12	Florian Xhekaj	Islanders (NYI)	LW/RW	7	1	3	4	8	0	0	8	1	12	5	15	8.33%	0	106	15.15	0	0	0	0	0	0	0	0	0	60.00%	5	0.75	0	0	0	0	1
13	Aaron Ness	Islanders (NYI)	D	7	1	2	3	9	4	0	2	3	5	3	6	20.00%	6	141	20.26	1	0	1	2	28	1	23	1	0	0.00%	0	0.42	0	0	0	0	0
14	Ty Mueller	Islanders (NYI)	C	7	1	2	3	1	0	0	0	2	3	0	2	33.33%	0	22	3.17	0	2	2	0	3	0	0	0	0	75.00%	12	2.70	0	0	0	0	0
15	Alex Kannok-Leipert	Islanders (NYI)	D	7	0	2	2	4	8	0	14	1	6	2	4	0.00%	3	142	20.31	0	2	2	2	27	1	22	0	0	0.00%	0	0.28	0	0	0	0	0
16	Brian Halonen	Islanders (NYI)	LW	7	0	2	2	5	4	0	9	5	7	3	15	0.00%	0	86	12.34	0	0	0	0	0	0	0	0	0	100.00%	2	0.46	0	0	0	0	0
17	Lleyton Roed	Islanders (NYI)	LW	7	0	1	1	1	0	0	0	0	1	2	1	0.00%	0	4	0.69	0	0	0	0	0	0	0	0	0	0.00%	0	4.14	0	0	0	0	0
18	Dino Kambeitz	Islanders (NYI)	RW	7	0	1	1	2	0	0	0	0	1	0	1	0.00%	1	25	3.68	0	0	0	0	0	0	0	0	0	0.00%	0	0.78	0	0	0	0	0
19	Andrew Agozzino	Islanders (NYI)	C	7	0	0	0	0	0	0	3	0	1	0	0	0.00%	2	10	1.49	0	0	0	0	0	0	4	0	0	0.00%	0	0.00	0	0	0	0	0
20	Eddie Genborg	Islanders (NYI)	RW	7	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	0	0.07	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0
21	Cedric Pare	Islanders (NYI)	C	7	0	0	0	0	0	0	1	0	0	0	0	0.00%	1	18	2.65	0	0	0	0	0	0	16	0	0	62.50%	8	0.00	0	0	0	0	0
Team Total or Average				147	40	72	112	120	81	5	143	106	275	74	201	14.55%	33	2046	13.92	11	19	30	56	299	8	222	6	2	66.79%	527	1.09	2	1	7	6	7

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	Pheonix Copley	Islanders (NYI)	7	6	0	1	0.926	1.55	425	0	0	11	148	0	1	0	0.000	2	7	0	0	0	0
Team Total or Average			7	6	0	1	0.926	1.55	425	0	0	11	148	0	1	0	0.000	2	7	0	0	0	0

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	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	Link
Aaron Ness	D	36	1990-05-18	No	184 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Alex Kannok-Leipert	D	26	2000-07-20	No	190 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Andrew Agozzino	C	35	1991-01-03	No	187 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Arnaud Durandeau	LW	27	1999-01-14	Yes	185 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	300,000$	0$	0$	No	Link
Avery Hayes	C/LW/RW	24	2002-10-10	No	180 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Brayden Hislop	D	23	2003-09-26	No	181 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Brian Halonen	LW	27	1999-01-11	No	207 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cedric Pare	C	27	1999-01-24	No	205 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Corey Schueneman	D	31	1995-09-02	No	197 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Danton Heinen	C/LW	31	1995-07-05	No	187 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Dino Kambeitz	RW	26	2000-01-25	No	212 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Dustin Tokarski	G	37	1989-09-16	No	198 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Eddie Genborg	RW	19	2007-04-20	Yes	179 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Florian Xhekaj	LW/RW	22	2004-06-27	No	195 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Georgi Romanov	G	26	1999-12-15	No	207 Lbs	6 ft5	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jonah Gadjovich	LW/RW	28	1998-10-12	No	211 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Josh Dunne	C	27	1998-12-08	No	208 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Kaleb Lawrence	C	23	2003-01-10	No	230 Lbs	6 ft7	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Kirby Dach	C	25	2001-01-21	No	221 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link
Laurent Brossoit	G	33	1993-03-23	No	203 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	879,500$	0$	0$	No	Link
Lleyton Roed	LW	24	2002-08-08	No	179 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Matvei Gridin	RW	20	2006-03-01	Yes	182 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Michael Amadio	C/LW/RW	30	1996-05-13	No	206 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Nils Lundkvist	D	26	2000-07-27	No	194 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Pheonix Copley	G	34	1992-01-18	No	205 Lbs	6 ft4	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Ross Johnston	LW	32	1994-02-18	No	232 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Spencer Martin	G	31	1995-06-08	No	191 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Ty Mueller	C	23	2003-02-26	No	185 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	27.61	198 Lbs	6 ft2	2.32	545,696$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ross Johnston	Kirby Dach	Danton Heinen	40	1	2	2
2	Jonah Gadjovich	Michael Amadio	Florian Xhekaj	30	1	2	2
3	Brian Halonen	Avery Hayes	Matvei Gridin	20	1	2	2
4	Florian Xhekaj	Josh Dunne	Dino Kambeitz	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brayden Hislop	Nils Lundkvist	40	1	2	2
2	Corey Schueneman	Alex Kannok-Leipert	30	1	2	2
3	Aaron Ness	Josh Dunne	20	1	2	2
4	Corey Schueneman	Nils Lundkvist	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ross Johnston	Kirby Dach	Michael Amadio	60	1	2	2
2	Jonah Gadjovich	Josh Dunne	Matvei Gridin	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ness	Nils Lundkvist	60	1	2	2
2	Corey Schueneman	Alex Kannok-Leipert	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kirby Dach	Jonah Gadjovich	60	1	2	2
2	Matvei Gridin	Ross Johnston	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ness	Nils Lundkvist	60	1	2	2
2	Corey Schueneman	Alex Kannok-Leipert	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kirby Dach	60	1	2	2	Brayden Hislop	Nils Lundkvist	60	1	2	2
2	Ross Johnston	40	1	2	2	Corey Schueneman	Alex Kannok-Leipert	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kirby Dach	Josh Dunne	60	1	2	2
2	Matvei Gridin	Ross Johnston	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ness	Nils Lundkvist	60	1	2	2
2	Corey Schueneman	Alex Kannok-Leipert	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Ross Johnston	Kirby Dach	Michael Amadio	Corey Schueneman	Nils Lundkvist

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ross Johnston	Kirby Dach	Michael Amadio	Corey Schueneman	Nils Lundkvist

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ty Mueller, Lleyton Roed, Cedric Pare	Ty Mueller, Lleyton Roed	Cedric Pare

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Aaron Ness, Corey Schueneman, Alex Kannok-Leipert	Aaron Ness	Corey Schueneman, Alex Kannok-Leipert

Penalty Shots
Kirby Dach, Michael Amadio, Jonah Gadjovich, Ross Johnston, Matvei Gridin

Goalie
#1 : Pheonix Copley, #2 : Laurent Brossoit

Custom OT Lines Forwards
Kirby Dach, Michael Amadio, Florian Xhekaj, Cedric Pare, Ross Johnston, Matvei Gridin, Matvei Gridin, Jonah Gadjovich, Ty Mueller, Josh Dunne, Lleyton Roed

Custom OT Lines Defensemen
Brayden Hislop, Nils Lundkvist, Corey Schueneman, Alex Kannok-Leipert, Aaron Ness

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
7	13	W3	40	72	112	275	148	33	81	143	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	6	0	0	0	0	1	40	12

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	25	6

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	0	0	0	0	1	15	6

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	0	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
42	11	26.19%	35	6	82.86%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
82	99	92	4	14	17	9	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
153	222	68.92%	123	187	65.78%	76	113	67.26%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
222	171	125	41	77	44

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	Link
9 - 2026-10-17	11	Bruins	1	Islanders	6	W			BoxScore
10 - 2026-10-18	23	Checkers	1	Islanders	7	W			BoxScore
13 - 2026-10-21	30	Bears	2	Islanders	7	W			BoxScore
16 - 2026-10-24	45	Islanders	2	Wolfpack	3	L	X	X	BoxScore
17 - 2026-10-25	58	Wolfpack	2	Islanders	5	W			BoxScore
22 - 2026-10-30	71	Islanders	8	Checkers	1	W			BoxScore
23 - 2026-10-31	84	Islanders	5	Checkers	2	W			BoxScore
27 - 2026-11-04	105	Penguins	-	Islanders	-
29 - 2026-11-06	116	Islanders	-	Thunderbirds	-
34 - 2026-11-11	141	Islanders	-	Thunderbirds	-
36 - 2026-11-13	151	Islanders	-	Bruins	-
37 - 2026-11-14	158	Bruins	-	Islanders	-
40 - 2026-11-17	181	Bears	-	Islanders	-
43 - 2026-11-20	191	Islanders	-	Bears	-
44 - 2026-11-21	204	Islanders	-	Penguins	-
50 - 2026-11-27	233	Islanders	-	Penguins	-
51 - 2026-11-28	246	Checkers	-	Islanders	-
52 - 2026-11-29	255	Islanders	-	Wolfpack	-
58 - 2026-12-05	283	Senators	-	Islanders	-
59 - 2026-12-06	293	Senators	-	Islanders	-
62 - 2026-12-09	301	Wolfpack	-	Islanders	-
64 - 2026-12-11	314	Islanders	-	Thunderbirds	-
65 - 2026-12-12	324	Islanders	-	Bruins	-
69 - 2026-12-16	344	Bruins	-	Islanders	-
71 - 2026-12-18	355	Islanders	-	Bruins	-
73 - 2026-12-20	375	Rocket	-	Islanders	-
79 - 2026-12-26	410	Islanders	-	Checkers	-
80 - 2026-12-27	425	Islanders	-	Checkers	-
85 - 2027-01-01	429	Bruins	-	Islanders	-
86 - 2027-01-02	447	Islanders	-	Thunderbirds	-
93 - 2027-01-09	482	Americans	-	Islanders	-
94 - 2027-01-10	493	Wolfpack	-	Islanders	-
99 - 2027-01-15	514	Islanders	-	Bruins	-
101 - 2027-01-17	538	Phantoms	-	Islanders	-
104 - 2027-01-20	546	Thunderbirds	-	Islanders	-
106 - 2027-01-22	558	Crunch	-	Islanders	-
107 - 2027-01-23	567	Thunderbirds	-	Islanders	-
109 - 2027-01-25	589	Islanders	-	Thunderbirds	-
111 - 2027-01-27	594	Islanders	-	Comets	-
113 - 2027-01-29	603	Islanders	-	Crunch	-
114 - 2027-01-30	620	Islanders	-	Phantoms	-
118 - 2027-02-03	635	Phantoms	-	Islanders	-
120 - 2027-02-05	646	Islanders	-	Bears	-
121 - 2027-02-06	664	Islanders	-	Bears	-
127 - 2027-02-12	681	Islanders	-	Penguins	-
128 - 2027-02-13	694	Checkers	-	Islanders	-
132 - 2027-02-17	713	Islanders	-	Wolfpack	-
135 - 2027-02-20	731	Bruins	-	Islanders	-
136 - 2027-02-21	744	Islanders	-	Bruins	-
142 - 2027-02-27	779	Comets	-	Islanders	-
143 - 2027-02-28	794	Thunderbirds	-	Islanders	-
146 - 2027-03-03	806	Bruins	-	Islanders	-
148 - 2027-03-05	819	Islanders	-	Phantoms	-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2027-03-06	833	Islanders	-	Phantoms	-
153 - 2027-03-10	849	Islanders	-	Wolfpack	-
156 - 2027-03-13	875	Marlies	-	Islanders	-
157 - 2027-03-14	884	Thunderbirds	-	Islanders	-
160 - 2027-03-17	894	Islanders	-	Rocket	-
162 - 2027-03-19	904	Islanders	-	Senators	-
163 - 2027-03-20	914	Islanders	-	Senators	-
170 - 2027-03-27	960	Thunderbirds	-	Islanders	-
171 - 2027-03-28	972	Penguins	-	Islanders	-
174 - 2027-03-31	982	Bears	-	Islanders	-
176 - 2027-04-02	996	Islanders	-	Americans	-
178 - 2027-04-04	1020	Islanders	-	Marlies	-
181 - 2027-04-07	1028	Phantoms	-	Islanders	-
184 - 2027-04-10	1052	Checkers	-	Islanders	-
188 - 2027-04-14	1072	Wolfpack	-	Islanders	-
191 - 2027-04-17	1094	Wolfpack	-	Islanders	-
192 - 2027-04-18	1107	Penguins	-	Islanders	-
197 - 2027-04-23	1124	Islanders	-	Wolfpack	-
198 - 2027-04-24	1144	Islanders	-	Bruins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	7,579	3,728
Attendance PCT	94.74%	93.20%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
32	2827 - 94.23%	70,661$	282,643$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
139,983$	152,795$	152,795$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	19,383$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,261,144$	175	5,793$	1,013,775$

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
Regular Season
12	82	44	24	0	5	3	4	2	265	156	109	41	21	13	0	2	3	2	0	131	78	53	41	23	11	0	3	0	2	2	134	78	56	111	265	478	743	3	8	0	108	80	68	2227	0	697	787	719	1821	510	1362	1847	428	59	13.79%	599	73	87.81%	7	1521	2478	61.38%	1387	2429	57.10%	686	1102	62.25%	2255	1609	1734	570	979	518
13	76	40	29	0	3	2	1	1	239	158	81	38	20	14	0	3	1	0	0	121	72	49	38	20	15	0	0	1	1	1	118	86	32	91	239	429	668	1	12	0	98	78	59	2012	0	697	652	652	1685	482	1064	1523	419	66	15.75%	440	64	85.45%	6	1344	2318	57.98%	1228	2271	54.07%	600	1062	56.50%	2006	1426	1658	534	917	477
14	76	34	24	0	5	4	1	8	171	132	39	38	20	11	0	2	1	1	3	87	63	24	38	14	13	0	3	3	0	5	84	69	15	92	171	314	485	1	13	0	53	67	45	1805	0	580	618	577	1718	487	624	1102	376	63	16.76%	238	20	91.60%	4	1271	2242	56.69%	1152	2201	52.34%	573	1034	55.42%	1959	1386	1728	535	947	498
14	76	34	24	0	5	4	1	8	171	132	39	38	20	11	0	2	1	1	3	87	63	24	38	14	13	0	3	3	0	5	84	69	15	92	171	314	485	1	13	0	53	67	45	1805	0	580	618	577	1718	487	624	1102	376	63	16.76%	238	20	91.60%	4	1271	2242	56.69%	1152	2201	52.34%	573	1034	55.42%	1959	1386	1728	535	947	498
14	76	34	24	0	5	4	1	8	171	132	39	38	20	11	0	2	1	1	3	87	63	24	38	14	13	0	3	3	0	5	84	69	15	92	171	314	485	1	13	0	53	67	45	1805	0	580	618	577	1718	487	624	1102	376	63	16.76%	238	20	91.60%	4	1271	2242	56.69%	1152	2201	52.34%	573	1034	55.42%	1959	1386	1728	535	947	498
15	82	50	21	0	4	1	1	5	247	160	87	41	27	9	0	1	0	1	3	121	74	47	41	23	12	0	3	1	0	2	126	86	40	116	247	454	701	0	14	0	104	74	64	2373	0	791	778	781	1915	558	1069	1543	431	64	14.85%	436	58	86.70%	3	1648	2660	61.95%	1446	2477	58.38%	683	1144	59.70%	2205	1585	1770	573	985	517
15	82	50	21	0	4	1	1	5	247	160	87	41	27	9	0	1	0	1	3	121	74	47	41	23	12	0	3	1	0	2	126	86	40	116	247	454	701	0	14	0	104	74	64	2373	0	791	778	781	1915	558	1069	1543	431	64	14.85%	436	58	86.70%	3	1648	2660	61.95%	1446	2477	58.38%	683	1144	59.70%	2205	1585	1770	573	985	517
16	82	44	24	0	3	4	3	4	268	177	91	41	22	12	0	1	2	0	4	143	95	48	41	22	12	0	2	2	3	0	125	82	43	108	268	478	746	2	6	0	93	93	76	2335	0	718	773	815	1830	503	1066	1477	483	84	17.39%	424	64	84.91%	2	1605	2616	61.35%	1370	2356	58.15%	767	1218	62.97%	2220	1601	1775	554	973	516
17	72	42	22	0	1	3	1	3	252	153	99	36	21	11	0	0	2	1	1	133	83	50	36	21	11	0	1	1	0	2	119	70	49	94	252	478	730	0	10	0	101	83	66	2013	0	714	640	645	1639	451	976	1453	373	90	24.13%	413	62	84.99%	2	1317	2145	61.40%	1239	2128	58.22%	665	1064	62.50%	2019	1463	1474	479	855	465
18	72	39	22	0	3	5	3	0	213	142	71	36	21	10	0	0	3	2	0	110	68	42	36	18	12	0	3	2	1	0	103	74	29	95	213	381	594	0	10	0	80	72	55	1822	0	595	640	572	1663	467	997	1341	366	60	16.39%	422	52	87.68%	9	1143	2078	55.00%	1142	2185	52.27%	519	954	54.40%	1951	1403	1543	488	851	458
19	70	34	25	0	4	3	1	3	210	168	42	36	15	16	0	1	2	0	2	98	85	13	34	19	9	0	3	1	1	1	112	83	29	84	210	371	581	2	3	0	62	87	56	1927	0	625	645	638	1575	501	941	1261	399	63	15.79%	388	53	86.34%	4	1272	2239	56.81%	1145	2062	55.53%	607	1015	59.80%	1824	1289	1560	496	849	442
20	72	26	35	0	2	3	3	3	157	167	-10	36	12	16	0	1	3	2	2	79	77	2	36	14	19	0	1	0	1	1	78	90	-12	68	157	280	437	1	5	0	56	49	47	1654	0	504	587	551	1782	540	1199	1412	333	49	14.71%	517	59	88.59%	5	1181	2094	56.40%	1247	2325	53.63%	525	1004	52.29%	1766	1217	1717	523	875	440
21	7	6	0	0	0	0	0	1	40	12	28	4	4	0	0	0	0	0	0	25	6	19	3	2	0	0	0	0	0	1	15	6	9	13	40	72	112	0	0	14	17	9	0	275	82	99	92	4	148	33	81	143	42	11	26.19%	35	6	82.86%	0	153	222	68.92%	123	187	65.78%	76	113	67.26%	222	171	125	41	77	44
Total Regular Season	925	477	295	0	44	37	21	51	2651	1849	802	464	250	143	0	16	19	12	24	1343	901	442	461	227	152	0	28	18	9	27	1308	948	360	1172	2651	4817	7468	12	121	14	982	900	690	24426	82	7971	8226	7889	21127	6064	11696	16849	4833	799	16.53%	4824	609	87.38%	53	16645	28236	58.95%	15229	27500	55.38%	7530	12922	58.27%	24555	17512	20316	6440	11192	5893
Playoff
15	12	7	5	0	0	0	0	0	30	25	5	6	3	3	0	0	0	0	0	16	16	0	6	4	2	0	0	0	0	0	14	9	5	14	30	58	88	0	0	0	9	10	9	274	0	80	84	91	317	83	206	225	63	9	14.29%	82	11	86.59%	1	157	325	48.31%	205	426	48.12%	91	168	54.17%	289	197	321	96	154	75
17	15	8	7	0	0	0	0	0	35	28	7	7	3	4	0	0	0	0	0	13	13	0	8	5	3	0	0	0	0	0	22	15	7	16	35	63	98	0	2	0	12	12	9	333	0	118	99	106	354	127	232	273	71	16	22.54%	96	15	84.38%	0	193	401	48.13%	253	518	48.84%	109	217	50.23%	349	238	384	117	188	91
18	16	9	7	0	0	0	0	0	33	27	6	7	6	1	0	0	0	0	0	19	8	11	9	3	6	0	0	0	0	0	14	19	-5	18	33	63	96	1	2	0	11	9	12	349	0	119	100	116	354	88	205	286	87	13	14.94%	86	6	93.02%	1	246	479	51.36%	244	496	49.19%	102	219	46.58%	396	270	395	125	205	103
Total Playoff	43	24	19	0	0	0	0	0	98	80	18	20	12	8	0	0	0	0	0	48	37	11	23	12	11	0	0	0	0	0	50	43	7	48	98	184	282	1	4	0	32	31	30	956	0	317	283	313	1025	298	643	784	221	38	17.19%	264	32	87.88%	2	596	1205	49.46%	702	1440	48.75%	302	604	50.00%	1036	705	1101	339	548	270