Islanders
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Reign 45-34-7, 97pts	1	Box score	2	Islanders 44-27-15, 103pts

Team Stats
L1	Streak	W3
23-19-1	Home Record	24-10-9
22-15-6	Home Record	20-17-6
4-4-2	Last 10 Games	7-3-0
3.56	Goals Per Game	3.45
3.37	Goals Against Per Game	3.17
28.63%	Power Play Percentage	21.92%
73.74%	Penalty Kill Percentage	76.76%

Reign
45-34-7, 97pts

Box score

Islanders
44-27-15, 103pts

Team Stats
L1	Streak	W3
23-19-1	Home Record	24-10-9
22-15-6	Home Record	20-17-6
4-4-2	Last 10 Games	7-3-0
3.56	Goals Per Game	3.45
3.37	Goals Against Per Game	3.17
28.63%	Power Play Percentage	21.92%
73.74%	Penalty Kill Percentage	76.76%

Team Leaders
	Goals Will Cuylle 51	Assists Will Cuylle 52

	Points Will Cuylle 103	Plus/Minus Walker Duehr 21

	Wins Nikke Kokko 34	Save Percentage Nikke Kokko 0.887

Team Stats
Goals For 297 3.45 GFG	Shots For 2554 29.70 Avg	Power Play Percentage 21.9% 48 GF	Offensive Zone Start 40.2%
Goals Against 273 3.17 GAA	Shots Against 2126 24.72 Avg	Penalty Kill Percentage 76.8%% 56 GA	Defensive Zone Start 33.5%

Team Info
	General Manager	Trevor Robb
	Coach	Rick Kowalsky
	Division	Division 5
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,670
	Season Tickets	1,500
Roster Info
	Pro Team	23
	Farm Team	19
	Contract Limit	42 / 100
	Prospects	77

Show or Hide Columns

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	Age	Contract	Salary
1	Will Cuylle		X	X		100.00	99	61	85	81	81	69	99	69	36	78	79	68	25	64	65	74	83	72	0	24	1	902,500$
2	Beck Malenstyn		X			100.00	92	56	88	82	78	57	93	64	54	61	62	77	25	64	64	63	83	67	0	28	3	850,000$
3	Arttu Hyry (R)			X		100.00	85	79	93	73	80	82	87	66	50	62	68	67	62	47	46	65	81	66	0	25	3	850,000$
4	Joona Koppanen		X			100.00	99	48	99	84	82	65	83	63	55	52	61	78	25	48	48	65	80	66	0	28	3	2,755,500$
5	Sam Poulin (R)			X		100.00	83	82	83	73	83	76	80	64	50	60	64	66	61	48	47	64	82	65	0	25	3	850,000$
6	Matt Rempe (R)	X	X	X		100.00	93	99	57	84	99	52	77	60	29	61	58	65	25	53	53	61	83	64	0	23	1	820,000$
7	Joey Anderson		X	X		100.00	71	43	99	71	74	62	67	61	56	56	54	81	25	64	63	61	79	63	0	27	3	2,755,500$
8	Alex Limoges	X				100.00	80	74	95	68	74	68	69	63	80	61	63	65	60	47	47	64	75	63	0	28	1	1,173,000$
9	Marc McLaughlin (R)	X				100.00	87	45	99	77	73	53	65	62	47	57	66	66	25	49	48	64	81	62	0	26	2	1,359,000$
10	Walker Duehr	X		X		100.00	86	46	99	80	78	52	62	59	29	54	58	62	25	58	57	60	84	61	0	28	1	1,212,000$
11	Pierrick Dube			X		100.00	72	65	81	69	66	73	76	63	50	60	63	60	60	47	47	61	79	61	0	25	2	1,255,000$
12	Kyle McDonald			X		100.00	78	78	81	64	79	59	62	50	50	43	53	62	50	45	45	56	63	55	0	24	2	1,355,000$
13	Egor Zamula				X	100.00	65	42	97	68	76	70	80	67	25	57	50	77	25	62	62	58	77	67	0	26	3	850,000$
14	Jordan Oesterle				X	100.00	70	42	97	70	67	71	64	62	25	54	52	76	25	72	72	59	65	66	0	33	3	850,000$
15	Daniil Miromanov				X	100.00	64	42	91	75	78	72	62	62	25	53	49	73	25	58	57	57	75	65	0	28	3	850,000$
16	Grant Hutton				X	100.00	76	44	90	68	79	62	61	61	25	52	46	75	25	49	48	57	63	63	0	30	3	850,000$
17	Jordan Harris				X	100.00	69	42	94	72	67	57	55	62	25	51	49	71	25	63	62	56	65	62	0	25	3	850,000$
18	Lleyton Moore (R)				X	100.00	71	61	98	64	63	43	43	47	25	38	40	57	39	46	46	49	43	53	0	24	1	800,000$
Scratches
1	Mitchell Stephens	X				100.00	75	43	93	79	73	53	79	62	83	62	59	70	25	61	62	61	69	64	0	29	2	2,225,000$
2	Vincent Sevigny				X	100.00	71	73	68	81	74	33	32	40	25	27	39	55	37	45	45	46	19	52	0	25	1	750,000$

	TEAM AVERAGE					100.00	79	58	89	74	76	61	70	60	42	55	57	69	35	55	54	60	71	63

Show or Hide Columns

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	Age	Contract	Salary
1	Nikke Kokko (R)	100.00	62	51	64	75	64	63	68	71	66	63	30	46	46	59	82	63	0	22	3	1,200,000$
2	Nikita Tolopilo (R)	100.00	52	52	65	94	51	55	53	58	56	56	30	45	45	54	82	57	0	26	2	850,000$
Scratches
1	Clay Stevenson (R)	100.00	49	51	64	81	47	50	51	55	50	51	30	44	44	51	21	53	0	27	2	850,000$

	TEAM AVERAGE	100.00	54	51	64	83	54	56	57	61	57	57	30	45	45	55	62	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Rick Kowalsky	42	42	39	45	42	42	38	CAN	44	4	795,000$

Show or Hide Columns

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	FW	FL	FT	S1	S2	S3
1	Will Cuylle	Islanders (NYI)	LW/RW	79	51	52	103	-13	95	15	224	100	317	81	194	16.09%	43	1639	20.76	11	12	23	43	167	4	0	4	7	149	3	3	38.17%	131	100	31	0	3	1.26	1	17	0	2	1	11	8	4
2	Beck Malenstyn	Islanders (NYI)	LW	86	41	40	81	16	49	5	228	134	263	81	164	15.59%	26	1616	18.80	5	10	15	17	156	1	1	2	13	118	5	1	43.86%	114	64	27	0	0	1.00	4	17	0	0	1	4	4	8
3	Arttu Hyry	Islanders (NYI)	RW	86	33	40	73	-11	62	20	205	93	237	67	161	13.92%	41	1694	19.70	7	8	15	26	188	1	1	2	8	125	8	2	47.85%	326	42	32	0	1	0.86	7	13	1	3	0	4	7	6
4	Mitchell Stephens	Islanders (NYI)	C	82	26	44	70	16	14	0	193	124	220	56	112	11.82%	24	1481	18.06	7	7	14	21	152	0	0	0	9	85	3	1	56.62%	929	45	21	0	0	0.95	0	1	0	0	0	4	6	2
5	Joona Koppanen	Islanders (NYI)	LW	86	30	34	64	-2	19	15	195	99	196	65	127	15.31%	34	1618	18.82	5	14	19	18	122	0	0	0	1	11	5	2	46.54%	1201	39	23	0	0	0.79	3	7	0	2	1	8	6	3
6	Sam Poulin	Islanders (NYI)	RW	86	18	20	38	10	47	5	190	72	140	57	82	12.86%	13	1148	13.36	2	4	6	10	136	0	0	0	0	8	2	2	47.37%	95	33	12	0	0	0.66	2	3	0	0	1	1	3	3
7	Egor Zamula	Islanders (NYI)	D	75	5	31	36	21	12	0	149	135	120	48	55	4.17%	101	2081	27.75	2	6	8	16	178	0	1	1	2	161	0	0	0%	0	26	48	0	0	0.35	1	1	0	0	0	2	1	1
8	Marc McLaughlin	Islanders (NYI)	C	86	16	19	35	13	0	0	211	92	158	55	110	10.13%	13	1159	13.48	0	0	0	0	19	0	1	1	4	88	2	0	46.24%	359	41	11	0	0	0.60	0	0	0	0	0	2	3	4
9	Walker Duehr	Islanders (NYI)	C/RW	86	14	18	32	21	9	5	185	80	121	33	78	11.57%	22	1225	14.25	0	0	0	0	1	0	0	0	0	2	4	1	38.60%	57	27	14	0	0	0.52	0	0	0	0	1	3	2	1
10	Matt Rempe	Islanders (NYI)	C/LW/RW	85	14	16	30	7	102	40	118	39	84	32	58	16.67%	16	669	7.87	3	3	6	15	67	0	0	0	4	41	2	1	35.14%	626	18	7	0	0	0.90	1	3	3	2	3	1	2	0
11	Joey Anderson	Islanders (NYI)	LW/RW	86	10	18	28	14	0	0	178	91	115	35	68	8.70%	24	1215	14.13	0	0	0	1	26	0	1	1	2	99	0	1	45.61%	57	18	25	0	0	0.46	0	0	0	0	0	3	3	4
12	Jordan Oesterle	Islanders (NYI)	D	86	4	24	28	9	16	0	145	146	108	51	46	3.70%	104	2166	25.19	3	4	7	17	199	0	1	1	2	201	0	2	0%	0	23	48	0	0	0.26	0	0	0	0	0	0	0	2
13	Pierrick Dube	Islanders (NYI)	RW	86	10	17	27	13	28	0	202	57	122	38	73	8.20%	5	947	11.02	0	0	0	1	3	0	0	0	0	2	1	0	51.72%	29	24	7	0	0	0.57	2	2	0	0	0	0	1	1
14	Daniil Miromanov	Islanders (NYI)	D	86	3	22	25	17	51	5	156	163	104	39	54	2.88%	84	2168	25.22	1	4	5	7	143	0	0	0	2	135	1	0	0%	0	31	55	0	0	0.23	0	0	0	1	0	1	2	0
15	Alex Limoges	Islanders (NYI)	C	86	12	12	24	16	27	15	112	53	97	26	52	12.37%	14	876	10.19	0	0	0	0	17	0	0	0	0	5	1	2	52.50%	360	18	12	0	0	0.55	0	0	0	2	1	0	2	1
16	Grant Hutton	Islanders (NYI)	D	86	0	22	22	6	52	0	150	108	77	31	43	0%	72	1841	21.41	0	2	2	4	140	0	1	1	1	129	0	0	0%	0	11	53	0	0	0.24	0	0	0	0	0	1	0	2
17	Jordan Harris	Islanders (NYI)	D	86	3	18	21	8	27	5	100	91	55	20	32	5.45%	51	1358	15.80	2	1	3	6	42	0	1	1	0	92	0	0	0%	0	6	35	1	0	0.31	0	0	0	0	1	0	1	0
18	Lleyton Moore	Islanders (NYI)	D	72	0	4	4	15	4	0	30	20	14	7	7	0%	11	601	8.36	0	0	0	0	3	0	0	0	0	19	0	0	0%	0	2	7	0	0	0.13	0	0	0	0	0	0	0	0
19	Kyle McDonald	Islanders (NYI)	RW	81	0	1	1	1	0	0	0	2	4	0	0	0%	0	18	0.23	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	1.07	0	0	0	0	0	0	0	0
20	Vincent Sevigny	Islanders (NYI)	D	25	0	0	0	-3	6	0	19	3	1	0	0	0%	4	123	4.93	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
21	Blake McLaughlin	Islanders	C/LW/RW	12	0	0	0	2	2	0	5	0	1	0	0	0%	1	46	3.85	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1629	290	452	742	176	622	130	2995	1702	2554	822	1516	11.35%	703	25698	15.78	48	75	123	202	1767	6	8	14	55	1480	37	18	47.25%	4284	569	468	1	4	0.58	21	64	4	12	10	45	51	42

Show or Hide Columns

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	Nikke Kokko	Islanders (NYI)	66	34	18	13	0.887	2.66	3883	4	5	172	1520	869	3	3	0.593	54	66	0	3	1	2
2	Nikita Tolopilo	Islanders (NYI)	22	8	8	2	0.847	3.81	1166	2	0	74	483	272	4	1	0.556	9	18	67	0	1	0
3	Dan Vladar	Islanders	2	2	0	0	0.935	2.50	120	0	0	5	77	45	0	0	0	0	2	5	0	0	0
4	Clay Stevenson	Islanders (NYI)	4	0	1	0	0.810	6.00	80	0	0	8	42	24	0	0	0	0	0	14	0	0	0
Team Total or Average			94	44	27	15	0.878	2.96	5249	6	5	259	2122	1210	7	4		63	86	86	3	2	2

Show or Hide Columns

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Alex Limoges	Islanders (NYI)	C	28	1997-09-16	USA	No	201 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	1,173,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Arttu Hyry	Islanders (NYI)	RW	25	2001-04-06	FIN	Yes	214 Lbs	6 ft3	No	No	Free Agent		No	No	3	2025-12-08	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Beck Malenstyn	Islanders (NYI)	LW	28	1998-02-04	CAN	No	209 Lbs	6 ft3	No	No	Free Agent		No	No	3	2025-12-08	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Clay Stevenson	Islanders (NYI)	G	27	1999-03-03	CAN	Yes	195 Lbs	6 ft4	No	No	Free Agent		No	No	2	2024-09-18	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Daniil Miromanov	Islanders (NYI)	D	28	1997-07-11	RUS	No	207 Lbs	6 ft4	No	No	Free Agent		No	No	3	2025-12-08	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Egor Zamula	Islanders (NYI)	D	26	2000-03-30	RUS	No	200 Lbs	6 ft3	No	No	Free Agent		No	No	3	2025-12-08	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Grant Hutton	Islanders (NYI)	D	30	1995-07-25	USA	No	210 Lbs	6 ft3	No	No	Free Agent		No	No	3	2025-12-08	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Joey Anderson	Islanders (NYI)	LW/RW	27	1998-06-19	USA	No	207 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2025-11-06	False	False	Pro & Farm	2,755,500$	0$	0$	No	2,755,500$	2,755,500$	-	-	-	-	-	-	-	2,755,500$	2,755,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Joona Koppanen	Islanders (NYI)	LW	28	1998-02-25	FIN	No	215 Lbs	6 ft5	No	No	Assign Manually		No	No	3	2025-11-06	False	False	Pro & Farm	2,755,500$	0$	0$	No	2,755,500$	2,755,500$	-	-	-	-	-	-	-	2,755,500$	2,755,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jordan Harris	Islanders (NYI)	D	25	2000-07-07	USA	No	187 Lbs	5 ft11	No	No	Free Agent		No	No	3	2025-12-08	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jordan Oesterle	Islanders (NYI)	D	33	1992-06-25	USA	No	181 Lbs	6 ft0	No	No	Free Agent		No	No	3	2025-12-08	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Kyle McDonald	Islanders (NYI)	RW	24	2002-02-05	CAN	No	207 Lbs	6 ft4	No	No	Free Agent		No	No	2	2024-09-18	False	False	Pro & Farm	1,355,000$	0$	0$	No	1,355,000$	-	-	-	-	-	-	-	-	1,355,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Lleyton Moore	Islanders (NYI)	D	24	2002-02-27	SKW	Yes	179 Lbs	5 ft8	No	No	Free Agent		No	No	1	2024-10-01	False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Marc McLaughlin	Islanders (NYI)	C	26	1999-07-26	USA	Yes	202 Lbs	6 ft0	No	No	N/A		No	No	2	2025-10-17	False	False	Pro & Farm	1,359,000$	0$	0$	No	1,359,000$	-	-	-	-	-	-	-	-	1,359,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Matt Rempe	Islanders (NYI)	C/LW/RW	23	2002-06-29	CAN	Yes	255 Lbs	6 ft9	No	No	Trade	2025-10-15	No	No	1		False	False	Pro & Farm	820,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mitchell Stephens	Islanders (NYI)	C	29	1997-02-05	CAN	No	203 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2024-09-09	False	False	Pro & Farm	2,225,000$	0$	0$	No	2,225,000$	-	-	-	-	-	-	-	-	2,225,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nikita Tolopilo	Islanders (NYI)	G	26	2000-04-06	BLR	Yes	229 Lbs	6 ft6	No	No	Free Agent		No	No	2	2024-09-18	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nikke Kokko	Islanders (NYI)	G	22	2004-03-14	FIN	Yes	184 Lbs	6 ft3	No	No	Free Agent		No	No	3	2025-12-09	False	False	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	1,200,000$	-	-	-	-	-	-	-	1,200,000$	1,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Pierrick Dube	Islanders (NYI)	RW	25	2001-01-07	FRA	No	185 Lbs	5 ft9	No	No	Free Agent		No	No	2	2024-09-18	False	False	Pro & Farm	1,255,000$	0$	0$	No	1,255,000$	-	-	-	-	-	-	-	-	1,255,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Sam Poulin	Islanders (NYI)	RW	25	2001-02-25	CAN	Yes	227 Lbs	6 ft2	No	No	Free Agent		No	No	3	2025-12-08	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Vincent Sevigny	Islanders (NYI)	D	25	2001-04-14	QUE	No	194 Lbs	6 ft3	No	No	Free Agent		No	No	1	2024-10-01	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Walker Duehr	Islanders (NYI)	C/RW	28	1997-11-23	USA	No	210 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	1,212,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Will Cuylle	Islanders (NYI)	LW/RW	24	2002-02-05	CAN	No	212 Lbs	6 ft3	No	No	Trade	2025-09-03	No	No	1		False	False	Pro & Farm	902,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	26.35	205 Lbs	6 ft2	2.22	1,176,630$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Will Cuylle	Joona Koppanen	Arttu Hyry	40	0	3	2
2	Beck Malenstyn	Matt Rempe	Walker Duehr	30	0	3	2
3	Joona Koppanen	Alex Limoges	Sam Poulin	20	0	3	2
4	Joey Anderson	Marc McLaughlin	Pierrick Dube	10	0	3	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jordan Oesterle	Jordan Harris	40	0	4	1
2	Daniil Miromanov	Egor Zamula	30	0	4	1
3	Daniil Miromanov	Jordan Oesterle	20	0	4	1
4	Daniil Miromanov	Jordan Oesterle	10	0	4	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Will Cuylle	Joona Koppanen	Arttu Hyry	60	0	0	5
2	Beck Malenstyn	Joey Anderson	Sam Poulin	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jordan Oesterle	Jordan Harris	60	1	2	2
2	Daniil Miromanov	Egor Zamula	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Arttu Hyry	Will Cuylle	60	1	2	2
2	Joona Koppanen	Beck Malenstyn	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jordan Oesterle	Jordan Harris	60	1	2	2
2	Daniil Miromanov	Lleyton Moore	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Will Cuylle	60	1	2	2	Lleyton Moore	Jordan Oesterle	60	1	2	2
2	Beck Malenstyn	40	1	2	2	Daniil Miromanov	Jordan Harris	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Arttu Hyry	Will Cuylle	60	1	2	2
2	Sam Poulin	Beck Malenstyn	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jordan Harris	Jordan Oesterle	60	1	2	2
2	Daniil Miromanov	Egor Zamula	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Will Cuylle	Beck Malenstyn	Arttu Hyry	Daniil Miromanov	Jordan Oesterle

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Will Cuylle	Beck Malenstyn	Arttu Hyry	Daniil Miromanov	Jordan Oesterle

Extra Forwards
Normal	PowerPlay	Penalty Kill
Will Cuylle, Sam Poulin, Joey Anderson	Beck Malenstyn, Sam Poulin	Beck Malenstyn

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jordan Harris, Jordan Oesterle, Daniil Miromanov	Daniil Miromanov	Jordan Oesterle, Daniil Miromanov

Penalty Shots
Will Cuylle, Beck Malenstyn, Arttu Hyry, Joona Koppanen, Sam Poulin

Goalie
#1 : Nikke Kokko, #2 : Nikita Tolopilo

Custom OT Lines Forwards
Joona Koppanen, Beck Malenstyn, Arttu Hyry, Matt Rempe, Pierrick Dube, Will Cuylle, Marc McLaughlin, Alex Limoges, Sam Poulin, Joey Anderson

Custom OT Lines Defensemen
Jordan Harris, Lleyton Moore, Daniil Miromanov, Grant Hutton, Jordan Oesterle

Show or Hide Columns

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	Admirals	2	1	0	0	0	0	0	1	5	5	0	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	0	0	1	1	2	-1	3	0.750	5	5	10	0	0	64	119	105	22	52	655	999	885	77	32	6	13	71	5	0	0.00%	4	0	100.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
2	Americans	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	9	16	0	0	64	119	105	22	64	655	999	885	77	63	17	14	63	7	0	0.00%	7	4	42.86%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
3	Barracuda	2	0	1	0	0	1	0	0	2	6	-4	1	0	0	0	0	1	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	4	-3	1	0.250	2	4	6	0	0	64	119	105	22	49	655	999	885	77	34	14	10	79	4	0	0.00%	5	2	60.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
4	Bears	5	2	2	0	1	0	0	0	16	13	3	2	1	1	0	0	0	0	0	4	4	0	3	1	1	0	1	0	0	0	12	9	3	6	0.600	16	26	42	0	0	64	119	105	22	125	655	999	885	77	162	56	37	133	10	1	10.00%	16	4	75.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
5	Bruins	2	0	1	0	0	0	0	1	5	10	-5	1	0	1	0	0	0	0	0	2	6	-4	1	0	0	0	0	0	0	1	3	4	-1	1	0.250	5	8	13	0	0	64	119	105	22	63	655	999	885	77	49	19	12	76	3	0	0.00%	6	3	50.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
6	Canucks	2	1	0	0	0	0	0	1	8	5	3	1	0	0	0	0	0	0	1	2	3	-1	1	1	0	0	0	0	0	0	6	2	4	3	0.750	8	14	22	0	0	64	119	105	22	48	655	999	885	77	37	14	14	61	1	1	100.00%	7	2	71.43%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
7	Checkers	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	3	1	2	4	1.000	7	12	19	0	0	64	119	105	22	50	655	999	885	77	41	13	17	82	5	3	60.00%	6	0	100.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
8	Comets	2	2	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	11	19	0	1	64	119	105	22	60	655	999	885	77	44	14	2	74	9	1	11.11%	1	1	0.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
9	Condors	2	1	0	0	0	0	1	0	9	5	4	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	9	12	21	0	0	64	119	105	22	63	655	999	885	77	54	18	10	66	5	2	40.00%	5	0	100.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
10	Crunch	2	0	1	0	0	0	1	0	7	7	0	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	7	7	14	0	0	64	119	105	22	56	655	999	885	77	46	10	20	91	7	2	28.57%	10	2	80.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
11	Eagles	2	0	0	0	1	0	0	1	6	6	0	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	1	0	0	0	3	2	1	3	0.750	6	11	17	0	0	64	119	105	22	63	655	999	885	77	55	18	10	72	3	2	66.67%	6	0	100.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
12	Griffins	5	1	2	0	0	1	1	0	21	19	2	3	1	0	0	0	1	1	0	14	10	4	2	0	2	0	0	0	0	0	7	9	-2	5	0.500	21	33	54	0	0	64	119	105	22	135	655	999	885	77	113	42	48	181	17	5	29.41%	14	3	78.57%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
13	Gulls	3	1	1	0	0	0	0	1	9	8	1	1	0	0	0	0	0	0	1	2	3	-1	2	1	1	0	0	0	0	0	7	5	2	3	0.500	9	14	23	0	1	64	119	105	22	94	655	999	885	77	60	24	22	107	7	2	28.57%	11	2	81.82%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
14	Heat	3	2	0	0	0	0	0	1	12	7	5	2	2	0	0	0	0	0	0	10	4	6	1	0	0	0	0	0	0	1	2	3	-1	5	0.833	12	19	31	0	0	64	119	105	22	108	655	999	885	77	72	26	17	128	7	1	14.29%	6	2	66.67%	1	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
15	IceHogs	3	1	0	0	0	0	2	0	13	9	4	1	0	0	0	0	0	1	0	5	4	1	2	1	0	0	0	0	1	0	8	5	3	6	1.000	13	14	27	0	0	64	119	105	22	93	655	999	885	77	54	13	38	118	10	2	20.00%	9	2	77.78%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
16	Marlies	5	4	0	0	0	1	0	0	17	10	7	3	2	0	0	0	1	0	0	11	8	3	2	2	0	0	0	0	0	0	6	2	4	9	0.900	17	28	45	0	1	64	119	105	22	158	655	999	885	77	108	25	44	198	12	3	25.00%	12	2	83.33%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
17	Monsters	3	2	1	0	0	0	0	0	6	4	2	2	1	1	0	0	0	0	0	4	4	0	1	1	0	0	0	0	0	0	2	0	2	4	0.667	6	10	16	0	1	64	119	105	22	64	655	999	885	77	35	14	12	145	5	1	20.00%	6	1	83.33%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
18	Moose	2	0	0	0	0	1	0	1	3	5	-2	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	1	0	0	2	3	-1	2	0.500	3	4	7	0	0	64	119	105	22	65	655	999	885	77	26	12	13	82	8	2	25.00%	4	0	100.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
19	Penguins	2	1	0	0	0	0	1	0	10	5	5	1	0	0	0	0	0	1	0	5	4	1	1	1	0	0	0	0	0	0	5	1	4	4	1.000	10	15	25	0	0	64	119	105	22	57	655	999	885	77	34	8	11	78	6	1	16.67%	3	1	66.67%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
20	Phantoms	5	1	4	0	0	0	0	0	10	17	-7	3	1	2	0	0	0	0	0	6	10	-4	2	0	2	0	0	0	0	0	4	7	-3	2	0.200	10	17	27	0	0	64	119	105	22	148	655	999	885	77	125	36	29	163	15	4	26.67%	12	4	66.67%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
21	Reign	5	3	2	0	0	0	0	0	18	14	4	3	2	1	0	0	0	0	0	10	7	3	2	1	1	0	0	0	0	0	8	7	1	6	0.600	18	27	45	0	0	64	119	105	22	151	655	999	885	77	157	54	28	125	13	4	30.77%	15	2	86.67%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
22	Roadrunners	5	3	1	0	0	0	0	1	23	19	4	2	2	0	0	0	0	0	0	9	6	3	3	1	1	0	0	0	0	1	14	13	1	7	0.700	23	33	56	1	0	64	119	105	22	157	655	999	885	77	170	75	41	157	15	3	20.00%	18	2	88.89%	1	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
23	Rocket	3	0	2	0	0	0	0	1	9	14	-5	1	0	1	0	0	0	0	0	3	5	-2	2	0	1	0	0	0	0	1	6	9	-3	1	0.167	9	14	23	1	0	64	119	105	22	84	655	999	885	77	76	27	22	111	3	0	0.00%	11	5	54.55%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
24	Senators	2	1	1	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	10	16	26	0	0	64	119	105	22	64	655	999	885	77	44	23	14	59	6	2	33.33%	7	2	71.43%	1	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
25	Silver Knights	2	1	0	0	0	0	1	0	10	5	5	1	0	0	0	0	0	1	0	6	5	1	1	1	0	0	0	0	0	0	4	0	4	4	1.000	10	15	25	0	1	64	119	105	22	83	655	999	885	77	24	11	20	53	7	1	14.29%	5	1	80.00%	1	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
26	Stars	2	0	2	0	0	0	0	0	7	15	-8	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	7	12	19	1	0	64	119	105	22	48	655	999	885	77	65	14	21	62	4	1	25.00%	8	1	87.50%	1	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
27	Thunderbirds	5	2	3	0	0	0	0	0	16	21	-5	2	1	1	0	0	0	0	0	7	7	0	3	1	2	0	0	0	0	0	9	14	-5	4	0.400	16	24	40	1	0	64	119	105	22	161	655	999	885	77	182	44	44	131	14	3	21.43%	12	2	83.33%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
28	Wild	2	0	1	0	0	0	0	1	9	15	-6	1	0	0	0	0	0	0	1	5	6	-1	1	0	1	0	0	0	0	0	4	9	-5	1	0.250	9	15	24	0	0	64	119	105	22	64	655	999	885	77	79	19	17	58	5	1	20.00%	6	2	66.67%	1	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
29	Wolf Pack	2	1	0	0	0	1	0	0	8	5	3	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	5	1	4	3	0.750	8	14	22	0	0	64	119	105	22	74	655	999	885	77	35	23	19	87	4	0	0.00%	7	4	42.86%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
30	Wolves	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	5	2	3	2	0.500	6	9	15	0	0	64	119	105	22	53	655	999	885	77	50	14	9	84	2	0	0.00%	2	0	100.00%	0	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
	Total	86	35	27	0	2	5	7	10	297	273	24	43	18	10	0	0	4	6	5	149	132	17	43	17	17	0	2	1	1	5	148	141	7	103	0.599	297	452	749	4	5	64	119	105	22	2554	655	999	885	77	2126	703	628	2995	219	48	21.92%	241	56	76.76%	6	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
	_Since Last GM Reset	86	35	27	0	2	5	7	10	297	273	24	43	18	10	0	0	4	6	5	149	132	17	43	17	17	0	2	1	1	5	148	141	7	103	0.599	297	452	749	4	5	64	119	105	22	2554	655	999	885	77	2126	703	628	2995	219	48	21.92%	241	56	76.76%	6	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
	_Vs Conference	52	23	17	0	2	3	2	5	178	165	13	27	15	6	0	0	2	2	2	97	79	18	25	8	11	0	2	1	0	3	81	86	-5	62	0.596	178	275	453	3	1	64	119	105	22	1542	655	999	885	77	1405	446	387	1726	141	33	23.40%	143	27	81.12%	3	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923
	_Vs Division	23	16	14	0	1	2	1	1	83	77	6	12	10	5	0	0	2	1	0	48	37	11	11	6	9	0	1	0	0	1	35	40	-5	39	0.848	83	127	210	1	1	64	119	105	22	674	655	999	885	77	540	176	191	861	60	15	25.00%	73	21	71.23%	1	836	1702	49.12%	653	1419	46.02%	535	1116	47.94%	1796	854	1557	889	1900	923

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
86	103	W3	297	452	749	2554	2126	703	628	2995	4	5

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
86	35	27	2	5	7	10	297	273

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
43	18	10	0	4	6	5	149	132

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
43	17	17	2	1	1	5	148	141

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
219	48	21.92%	241	56	76.76%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
655	999	885	77	64	119	105	22

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
836	1702	49.12%	653	1419	46.02%	535	1116	47.94%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1796	854	1557	889	1900	923

Last Played Games Show or Hide Columns

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
1	10	Islanders	6	Roadrunners	2	W			Box score
2	20	Islanders	7	Reign	3	W			Box score
3	30	Phantoms	1	Islanders	2	W			Box score
5	48	Islanders	8	Bears	3	W			Box score
6	60	Reign	5	Islanders	4	L			Box score
7	80	Islanders	4	Gulls	5	L			Box score
9	92	Griffins	4	Islanders	5	W	X	X	Box score
10	109	Islanders	5	Thunderbirds	2	W			Box score
11	124	Marlies	3	Islanders	4	W			Box score
12	141	Islanders	1	Thunderbirds	7	L			Box score
13	152	Phantoms	7	Islanders	3	L			Box score
15	175	Islanders	4	IceHogs	2	W			Box score
16	182	Marlies	1	Islanders	4	W			Box score
17	204	Bears	2	Islanders	3	W			Box score
18	219	Islanders	3	Checkers	1	W			Box score
19	228	Islanders	5	Marlies	2	W			Box score
20	245	Monsters	2	Islanders	3	W			Box score
23	267	Islanders	4	IceHogs	3	W	X	X	Box score
24	277	Silver Knights	5	Islanders	6	W	X	X	Box score
25	295	Wolf Pack	4	Islanders	3	L	X		Box score
27	310	Islanders	3	Bruins	4	L	X	X	Box score
28	327	Wolves	3	Islanders	1	L			Box score
29	346	Islanders	3	Americans	5	L			Box score
30	360	Americans	2	Islanders	4	W			Box score
31	377	Stars	7	Islanders	5	L			Box score
32	391	Islanders	2	Heat	3	L	X	X	Box score
33	403	Islanders	4	Crunch	5	L			Box score
34	415	Islanders	3	Senators	5	L			Box score
35	430	Rocket	5	Islanders	3	L			Box score
37	450	Bears	2	Islanders	1	L			Box score
38	464	Islanders	5	Condors	2	W			Box score
39	478	Islanders	1	Reign	4	L			Box score
40	492	Senators	3	Islanders	7	W			Box score
41	506	Islanders	3	Thunderbirds	5	L			Box score
42	520	Roadrunners	3	Islanders	5	W			Box score
43	540	Moose	2	Islanders	1	L	X	X	Box score
44	553	Islanders	2	Rocket	3	L	X	X	Box score
45	568	Islanders	1	Bears	4	L			Box score
46	584	Monsters	2	Islanders	1	L			Box score
47	601	Condors	3	Islanders	4	W	X	X	Box score
48	614	Islanders	5	Wolf Pack	1	W			Box score
49	631	Crunch	2	Islanders	3	W	X	X	Box score
51	657	Islanders	2	Monsters	0	W			Box score
52	666	Islanders	1	Marlies	0	W			Box score
53	680	Eagles	4	Islanders	3	L	X	X	Box score
54	698	Barracuda	2	Islanders	1	L	X		Box score
56	717	Islanders	3	Griffins	4	L			Box score
57	730	IceHogs	4	Islanders	5	W	X	X	Box score
58	744	Islanders	3	Eagles	2	W	X		Box score
59	754	Islanders	3	Bears	2	W	X		Box score
60	772	Marlies	4	Islanders	3	L	X		Box score
62	792	Islanders	1	Barracuda	4	L			Box score
63	801	Phantoms	2	Islanders	1	L			Box score
65	821	Islanders	6	Canucks	2	W			Box score
66	834	Roadrunners	3	Islanders	4	W			Box score
68	855	Comets	0	Islanders	4	W			Box score
69	875	Bruins	6	Islanders	2	L			Box score
71	895	Islanders	3	Gulls	0	W			Box score
72	908	Islanders	4	Silver Knights	0	W			Box score
73	920	Wild	6	Islanders	5	L	X	X	Box score
75	938	Islanders	2	Moose	3	L	X		Box score
76	951	Checkers	1	Islanders	4	W			Box score
78	971	Islanders	1	Admirals	2	L	X	X	Box score
79	982	Islanders	5	Penguins	1	W			Box score
80	990	Penguins	4	Islanders	5	W	X	X	Box score
82	1014	Canucks	3	Islanders	2	L	X	X	Box score
83	1033	Gulls	3	Islanders	2	L	X	X	Box score
85	1050	Islanders	4	Roadrunners	6	L			Box score
86	1063	Islanders	3	Phantoms	4	L			Box score
87	1076	Thunderbirds	6	Islanders	4	L			Box score
88	1090	Islanders	4	Griffins	5	L			Box score
89	1101	Islanders	4	Comets	2	W			Box score
90	1112	Admirals	3	Islanders	4	W			Box score
91	1133	Griffins	4	Islanders	3	L	X		Box score
92	1145	Islanders	4	Roadrunners	5	L	X	X	Box score
94	1161	Islanders	4	Wild	9	L			Box score
95	1173	Thunderbirds	1	Islanders	3	W			Box score
96	1184	Islanders	1	Phantoms	3	L			Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
98	1202	Griffins	2	Islanders	6	W			Box score
100	1225	Islanders	2	Stars	8	L			Box score
101	1236	Heat	1	Islanders	3	W			Box score
102	1253	Islanders	5	Wolves	2	W			Box score
103	1259	Islanders	4	Rocket	6	L			Box score
104	1270	Heat	3	Islanders	7	W			Box score
107	1301	Reign	1	Islanders	2	W			Box score
110	1320	Reign	1	Islanders	4	W			Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	30	15
Attendance	81,592	33,198
Attendance PCT	94.87%	77.20%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2670 - 88.98%	102,073$	4,389,139$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
3,546,194$	2,706,250$	2,706,250$	795,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
24,163$	2,751,218$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	31,261$	0$

Islanders Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Islanders Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Islanders Career Team Stats

Show or Hide Columns

	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

Islanders Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Islanders Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Islanders
	GP: 86 \| W: 44 \| L: 27 \| OTL: 15 \| P: 103 GF: 297 \| GA: 273 \| PP%: 21.92% \| PK%: 76.76% GM : Trevor Robb \| Morale : 49 \| Team Overall : 62