Islanders
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	Condors 16-5-0, 32pts	1	FINAL	3	Islanders 15-7-0, 30pts

Team Stats
W1	Streak	L1
9-3-0	Home Record	7-4-0
7-2-0	Home Record	8-3-0
7-3-0	Last 10 Games	6-3-1
3.86	Goals Per Game	3.86
2.52	Goals Against Per Game	2.95
11.86%	Power Play Percentage	33.82%
82.61%	Penalty Kill Percentage	79.71%

Islanders
15-7-0, 30pts

FINAL

Condors
16-5-0, 32pts

Team Stats
L1	Streak	W1
7-4-0	Home Record	9-3-0
8-3-0	Home Record	7-2-0
6-3-1	Last 10 Games	7-3-0
3.86	Goals Per Game	3.86
2.95	Goals Against Per Game	2.52
33.82%	Power Play Percentage	11.86%
79.71%	Penalty Kill Percentage	82.61%

Team Leaders
	Goals Sheldon Dries 21	Assists Sheldon Dries 24

	Points Sheldon Dries 45	Plus/Minus Mitchell Stephens 12

	Wins Clay Stevenson 15	Save Percentage Clay Stevenson 0.904

Team Stats
Goals For 85 3.86 GFG	Shots For 600 27.27 Avg	Power Play Percentage 33.8% 23 GF	Offensive Zone Start 35.6%
Goals Against 65 2.95 GAA	Shots Against 679 30.86 Avg	Penalty Kill Percentage 79.7%% 14 GA	Defensive Zone Start 38.6%

Team Info
	General Manager	Trevor Robb
	Coach	Rick Kowalsky
	Division	Division 5
	Conference	Conference 2
	Captain	Blake McLaughlin
	Assistant #1	Austin Strand
	Assistant #2	Bryce Kindopp
Arena Info
	Capacity	3,000
	Attendance	2,980
	Season Tickets	1,500
Roster Info
	Pro Team	24
	Farm Team	18
	Contract Limit	42 / 100
	Prospects	65

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	Sheldon Dries	X				100.00	70	64	75	64	64	74	76	75	81	67	78	67	67	62	62	64	88	67	0	31	1	1,301,000$
2	Mitchell Stephens	X				100.00	62	41	96	73	70	53	86	68	80	59	64	73	25	60	60	60	86	64	0	28	3	2,225,000$
3	Alex Limoges	X	X			100.00	80	74	91	64	75	75	78	67	80	64	69	66	62	48	48	63	86	64	0	27	2	1,173,000$
4	Pierrick Dube (R)			X		100.00	67	61	78	69	64	71	73	65	50	60	70	59	64	48	47	60	86	62	0	24	3	1,255,000$
5	Kyle McDonald (R)			X		100.00	82	78	88	67	81	63	65	60	50	53	64	65	59	48	47	59	86	61	0	23	3	1,355,000$
6	Marc McLaughlin	X				100.00	80	74	89	72	75	76	83	52	63	46	55	62	48	48	48	54	86	59	0	25	1	1,075,000$
7	Adam Sykora (R)	X	X			100.00	73	62	99	65	65	65	69	51	65	51	48	59	46	48	48	52	87	56	0	20	1	750,000$
8	Bryce Kindopp (A)			X		100.00	76	71	90	65	71	64	68	48	50	43	49	59	46	47	47	52	78	55	0	26	2	911,000$
9	Blake McLaughlin (C)		X			100.00	70	64	85	62	66	50	51	44	50	42	43	57	42	47	47	48	81	51	0	25	2	925,000$
10	Cole McWard (R)				X	100.00	79	75	90	70	77	61	65	50	25	43	44	64	39	47	46	50	79	60	0	24	2	800,000$
11	Austin Strand (A)				X	100.00	77	77	67	65	77	65	70	52	25	44	45	63	41	50	50	48	82	60	0	28	1	1,243,000$
12	Vincent Sevigny (R)				X	100.00	76	73	86	67	75	57	61	46	25	36	39	59	38	46	46	48	67	56	0	24	2	750,000$
Scratches
1	Connor Brown		X	X		100.00	65	42	97	74	68	63	58	72	39	67	64	84	25	76	76	62	85	67	0	31	3	2,800,000$
2	Walker Duehr			X		100.00	83	45	95	74	76	51	72	67	30	64	61	66	25	55	55	61	79	63	0	27	2	1,212,000$
3	Brendan Perlini		X	X		100.00	79	79	79	65	79	55	54	60	50	55	60	63	58	47	47	60	47	59	0	29	1	800,000$
4	Antti Saarela (R)	X	X	X		100.00	74	68	93	65	69	54	55	49	63	40	53	60	51	46	46	54	26	54	0	23	1	750,000$
5	Nick Cicek (R)				X	100.00	76	76	66	67	78	69	75	51	25	42	45	62	39	49	48	48	75	60	0	25	1	838,000$
6	Brady Lyle				X	100.00	75	74	76	66	75	62	65	52	25	42	47	62	44	48	47	50	80	59	0	26	2	1,072,000$
7	Mattias Norlinder				X	100.00	73	68	84	67	70	69	75	46	25	38	40	59	38	47	46	49	79	58	0	24	2	800,000$
8	Jacob Murray (R)				X	100.00	78	76	88	69	79	50	53	41	25	29	38	61	37	47	47	45	71	56	0	23	2	800,000$
9	Lleyton Moore (R)				X	100.00	65	58	86	64	60	50	50	50	25	36	50	56	48	47	46	51	73	53	0	23	2	800,000$

	TEAM AVERAGE					100.00	74	67	86	67	72	62	67	56	45	49	54	63	45	51	50	54	77	59

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	Nikita Tolopilo	100.00	60	47	59	95	65	69	61	68	70	66	30	45	45	60	87	64	0	25	3	850,000$
2	Tomas Suchanek (R)	100.00	59	47	59	65	64	66	58	64	68	66	30	44	44	61	56	59	0	22	3	850,000$
Scratches
1	Clay Stevenson	100.00	63	47	59	81	66	72	75	75	81	75	30	47	47	64	90	68	0	26	3	850,000$

	TEAM AVERAGE	100.00	61	47	59	80	65	69	65	69	73	69	30	45	45	62	78	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Rick Kowalsky	40	40	40	40	40	40	40	CAN	43	5	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	FW	FL	FT	S1	S2	S3
1	Sheldon Dries	Islanders (NYI)	C	22	21	24	45	3	30	0	43	60	111	37	59	18.92%	21	548	24.94	4	12	16	14	49	0	0	0	0	48	4	3	53.53%	637	16	9	0	0	1.64	0	0	0	6	1	1
2	Kyle McDonald	Islanders (NYI)	RW	22	8	18	26	3	12	10	42	45	84	23	54	9.52%	14	472	21.46	4	8	12	23	49	0	0	0	0	0	3	0	46.43%	28	13	9	0	0	1.10	2	0	0	0	2	4
3	Mitchell Stephens	Islanders (NYI)	C	22	11	14	25	12	0	0	28	49	75	25	44	14.67%	13	440	20.04	3	3	6	6	39	0	2	2	4	39	2	1	51.99%	277	14	9	0	1	1.13	0	0	0	2	4	2
4	Pierrick Dube	Islanders (NYI)	RW	22	11	11	22	9	12	0	35	25	66	11	28	16.67%	14	457	20.77	1	1	2	5	38	0	0	0	0	57	1	0	30.43%	23	10	9	0	0	0.96	0	0	0	4	0	2
5	Alex Limoges	Islanders (NYI)	C/LW	22	8	13	21	12	10	10	26	22	48	19	33	16.67%	14	419	19.07	2	1	3	2	37	1	1	2	1	20	0	0	45.00%	20	11	7	1	0	1.00	1	0	1	0	2	5
6	Marc McLaughlin	Islanders (NYI)	C	22	12	8	20	-1	20	10	35	35	45	18	26	26.67%	15	493	22.43	7	1	8	13	48	1	0	1	1	21	3	0	44.37%	142	10	10	0	0	0.81	1	0	1	1	2	0
7	Cole McWard	Islanders (NYI)	D	22	2	8	10	11	11	5	21	34	14	6	5	14.29%	27	496	22.57	0	0	0	1	36	1	0	1	2	46	0	0	0%	0	4	14	0	0	0.40	0	1	0	0	0	0
8	Nick Cicek	Islanders (NYI)	D	10	0	10	10	8	17	5	11	16	13	4	6	0%	13	262	26.22	0	3	3	0	33	0	1	1	0	17	0	0	0%	0	4	12	0	0	0.76	0	0	1	0	0	1
9	Austin Strand	Islanders (NYI)	D	22	1	9	10	11	74	30	47	43	32	11	15	3.13%	22	578	26.30	1	4	5	2	53	0	0	0	0	47	0	0	0%	0	11	18	0	0	0.35	1	3	2	0	1	0
10	Bryce Kindopp	Islanders (NYI)	RW	22	5	2	7	-1	0	0	18	33	14	10	13	35.71%	9	269	12.25	1	0	1	2	1	0	0	0	0	0	1	0	42.86%	7	6	5	0	0	0.52	0	0	0	0	1	0
11	Connor Brown	Islanders (NYI)	LW/RW	22	3	4	7	-4	2	0	8	36	39	13	17	7.69%	6	266	12.11	0	1	1	0	2	0	0	0	0	0	1	0	21.43%	14	9	6	0	0	0.53	0	0	0	0	0	0
12	Adam Sykora	Islanders (NYI)	C/LW	22	2	3	5	-2	0	0	23	31	19	7	9	10.53%	8	289	13.14	0	0	0	0	4	0	0	0	0	5	0	0	52.87%	87	5	3	0	0	0.35	0	0	0	0	0	1
13	Brendan Perlini	Islanders (NYI)	LW/RW	22	0	4	4	-2	6	0	8	12	9	4	3	0%	2	148	6.77	0	0	0	0	6	0	1	1	0	22	0	0	25.00%	4	1	0	0	0	0.54	0	0	0	0	0	0
14	Brady Lyle	Islanders (NYI)	D	22	0	4	4	3	8	0	26	27	10	8	6	0%	14	441	20.06	0	1	1	0	19	0	0	0	0	24	0	0	0%	0	2	12	0	0	0.18	0	0	0	0	0	0
15	Vincent Sevigny	Islanders (NYI)	D	22	0	2	2	-7	7	5	7	20	7	2	6	0%	17	327	14.88	0	1	1	0	7	0	0	0	0	38	0	0	0%	0	2	5	0	0	0.12	0	0	1	0	0	0
16	Walker Duehr	Islanders (NYI)	RW	13	1	0	1	0	0	0	4	7	4	1	3	25.00%	2	55	4.27	0	0	0	0	1	0	0	0	0	0	0	0	25.00%	4	0	1	0	0	0.36	0	0	0	0	0	0
17	Jacob Murray	Islanders (NYI)	D	18	0	1	1	-5	11	5	14	17	1	1	1	0%	18	262	14.60	0	0	0	0	15	0	0	0	0	27	0	0	0%	0	0	2	0	0	0.08	0	1	0	0	0	0
18	Lleyton Moore	Islanders (NYI)	D	21	0	0	0	0	0	0	0	0	1	0	0	0%	2	66	3.15	0	0	0	0	4	0	0	0	0	11	0	0	0%	0	0	2	0	0	0	0	0	0	0	0	0
19	Mattias Norlinder	Islanders (NYI)	D	22	0	0	0	1	8	0	12	16	6	4	4	0%	8	232	10.55	0	0	0	1	16	0	0	0	0	4	0	0	0%	0	2	9	0	0	0	0	0	0	0	0	0
20	Antti Saarela	Islanders (NYI)	C/LW/RW	13	0	0	0	0	0	0	0	1	2	2	1	0%	1	19	1.49	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
21	Blake McLaughlin	Islanders (NYI)	LW	9	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.06	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
Team Total or Average				414	85	135	220	51	228	80	408	529	600	206	333	14.17%	240	6547	15.82	23	36	59	69	466	3	5	8	8	432	15	4	50.72%	1244	120	142	1	1	0.67	5	5	6	13	13	16

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	Clay Stevenson	Islanders (NYI)	22	15	5	2	0.904	2.93	1331	0	1	65	679	355	0	0	0	0	22	0	2	2	0
Team Total or Average			22	15	5	2	0.904	2.93	1331	0	1	65	679	355	0	0		0	22	0	2	2	0

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
Adam Sykora	Islanders (NYI)	C/LW	20	2004-09-07	SLO	Yes	172 Lbs	5 ft10	No	No	Trade	2024-10-01	No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Alex Limoges	Islanders (NYI)	C/LW	27	1997-09-16	USA	No	201 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	1,173,000$	0$	0$	No	1,173,000$	-	-	-	-	-	-	-	-	1,173,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Antti Saarela	Islanders (NYI)	C/LW/RW	23	2001-06-27	FIN	Yes	190 Lbs	5 ft10	No	No	Trade	2025-01-31	No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Austin Strand	Islanders (NYI)	D	28	1997-02-16	ALB	No	208 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,243,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Blake McLaughlin	Islanders (NYI)	LW	25	2000-02-14	USA	No	173 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Brady Lyle	Islanders (NYI)	D	26	1999-06-06	ONT	No	203 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	1,072,000$	0$	0$	No	1,072,000$	-	-	-	-	-	-	-	-	1,072,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Brendan Perlini	Islanders (NYI)	LW/RW	29	1996-04-27	ENG	No	211 Lbs	6 ft3	No	No	Trade	2025-01-16	No	No	1	2024-10-16	False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Bryce Kindopp	Islanders (NYI)	RW	26	1999-06-14	AB	No	191 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	911,000$	0$	0$	No	911,000$	-	-	-	-	-	-	-	-	911,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Clay Stevenson	Islanders (NYI)	G	26	1999-03-03	BC	No	195 Lbs	6 ft4	No	No	Free Agent		No	No	3	2024-09-18	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Cole McWard	Islanders (NYI)	D	24	2001-06-09	USA	Yes	205 Lbs	6 ft1	No	No	Free Agent		No	No	2	2024-10-01	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Connor Brown	Islanders (NYI)	LW/RW	31	1994-01-14	ONT	No	186 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2024-09-16	False	False	Pro & Farm	2,800,000$	0$	0$	No	2,800,000$	2,800,000$	-	-	-	-	-	-	-	2,800,000$	2,800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jacob Murray	Islanders (NYI)	D	23	2002-04-11	ONT	Yes	201 Lbs	6 ft3	No	No	Free Agent		No	No	2	2024-10-01	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Kyle McDonald	Islanders (NYI)	RW	23	2002-02-05	ONT	Yes	207 Lbs	6 ft4	No	No	Free Agent		No	No	3	2024-09-18	False	False	Pro & Farm	1,355,000$	0$	0$	No	1,355,000$	1,355,000$	-	-	-	-	-	-	-	1,355,000$	1,355,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Lleyton Moore	Islanders (NYI)	D	23	2002-02-27	SKW	Yes	168 Lbs	5 ft8	No	No	Free Agent		No	No	2	2024-10-01	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Marc McLaughlin	Islanders (NYI)	C	25	1999-07-26	USA	No	205 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	1,075,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mattias Norlinder	Islanders (NYI)	D	24	2000-12-04	SWE	No	185 Lbs	6 ft0	No	No	Free Agent		No	No	2	2024-10-01	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Mitchell Stephens	Islanders (NYI)	C	28	1997-02-05	ONT	No	194 Lbs	5 ft11	No	No	Assign Manually		No	No	3	2024-09-09	False	False	Pro & Farm	2,225,000$	0$	0$	No	2,225,000$	2,225,000$	-	-	-	-	-	-	-	2,225,000$	2,225,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Nick Cicek	Islanders (NYI)	D	25	2000-05-29	MAN	Yes	201 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	838,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Nikita Tolopilo	Islanders (NYI)	G	25	2000-04-06	BEL	No	230 Lbs	6 ft6	No	No	Free Agent		No	No	3	2024-09-18	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Pierrick Dube	Islanders (NYI)	RW	24	2001-01-07	FRA	Yes	172 Lbs	5 ft9	No	No	Free Agent		No	No	3	2024-09-18	False	False	Pro & Farm	1,255,000$	0$	0$	No	1,255,000$	1,255,000$	-	-	-	-	-	-	-	1,255,000$	1,255,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Sheldon Dries	Islanders (NYI)	C	31	1994-04-23	USA	No	180 Lbs	5 ft9	No	No	N/A		No	No	1		False	False	Pro & Farm	1,301,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tomas Suchanek	Islanders (NYI)	G	22	2003-04-30	CZE	Yes	180 Lbs	6 ft0	No	No	Free Agent		No	No	3	2024-09-18	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	870,000$	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Vincent Sevigny	Islanders (NYI)	D	24	2001-04-14	QUE	Yes	194 Lbs	6 ft3	No	No	Free Agent		No	No	2	2024-10-01	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Walker Duehr	Islanders (NYI)	RW	27	1997-11-23	USA	No	209 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	1,212,000$	0$	0$	No	1,212,000$	-	-	-	-	-	-	-	-	1,212,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	25.38	194 Lbs	6 ft1	2.00	1,091,042$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Sheldon Dries		40	0	3	2
2	Alex Limoges	Mitchell Stephens	Pierrick Dube	30	0	3	2
3		Marc McLaughlin	Kyle McDonald	20	0	3	2
4		Adam Sykora	Bryce Kindopp	10	0	3	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cole McWard	Austin Strand	40	0	4	1
2			30	0	4	1
3	Vincent Sevigny		20	0	4	1
4	Cole McWard	Austin Strand	10	0	4	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Sheldon Dries		60	0	0	5
2	Alex Limoges	Mitchell Stephens	Pierrick Dube	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cole McWard	Austin Strand	60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sheldon Dries		60	1	2	2
2	Mitchell Stephens	Alex Limoges	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cole McWard	Austin Strand	60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Sheldon Dries	60	1	2	2	Cole McWard	Austin Strand	60	1	2	2
2	Mitchell Stephens	40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sheldon Dries		60	1	2	2
2	Mitchell Stephens	Alex Limoges	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cole McWard	Austin Strand	60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Sheldon Dries		Cole McWard	Austin Strand

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Sheldon Dries		Cole McWard	Austin Strand

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Pierrick Dube, Kyle McDonald	, Pierrick Dube

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Vincent Sevigny,		, Vincent Sevigny

Penalty Shots
, Sheldon Dries, Alex Limoges, Mitchell Stephens,

Goalie
#1 : , #2 : Nikita Tolopilo

Custom OT Lines Forwards
, Sheldon Dries, , Mitchell Stephens, Pierrick Dube, Kyle McDonald, Kyle McDonald, Bryce Kindopp, Alex Limoges, Marc McLaughlin, Adam Sykora

Custom OT Lines Defensemen
, Vincent Sevigny, , Austin Strand, Cole McWard

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	Condors	7	3	4	0	0	0	0	0	18	22	-4	3	1	2	0	0	0	0	0	7	10	-3	4	2	2	0	0	0	0	0	11	12	-1	6	0.429	18	27	45	0	0	18	40	25	2	192	160	232	201	7	272	102	47	138	16	4	25.00%	21	4	80.95%	0	219	443	49.44%	252	480	52.50%	160	321	49.84%	398	178	466	228	467	234
2	Griffins	5	4	1	0	0	0	0	0	28	16	12	3	2	1	0	0	0	0	0	16	8	8	2	2	0	0	0	0	0	0	12	8	4	8	0.800	28	47	75	0	0	18	40	25	2	157	160	232	201	7	122	41	67	90	25	9	36.00%	16	6	62.50%	2	219	443	49.44%	252	480	52.50%	160	321	49.84%	398	178	466	228	467	234
3	Heat	6	4	2	0	0	0	0	0	21	15	6	3	2	1	0	0	0	0	0	12	9	3	3	2	1	0	0	0	0	0	9	6	3	8	0.667	21	32	53	0	1	18	40	25	2	137	160	232	201	7	129	42	54	102	14	5	35.71%	17	3	82.35%	1	219	443	49.44%	252	480	52.50%	160	321	49.84%	398	178	466	228	467	234
4	Thunderbirds	4	4	0	0	0	0	0	0	18	12	6	2	2	0	0	0	0	0	0	9	6	3	2	2	0	0	0	0	0	0	9	6	3	8	1.000	18	29	47	0	0	18	40	25	2	114	160	232	201	7	156	55	60	78	13	5	38.46%	15	1	93.33%	0	219	443	49.44%	252	480	52.50%	160	321	49.84%	398	178	466	228	467	234
	Total	22	15	7	0	0	0	0	0	85	65	20	11	7	4	0	0	0	0	0	44	33	11	11	8	3	0	0	0	0	0	41	32	9	30	0.682	85	135	220	0	1	18	40	25	2	600	160	232	201	7	679	240	228	408	68	23	33.82%	69	14	79.71%	3	219	443	49.44%	252	480	52.50%	160	321	49.84%	398	178	466	228	467	234
	_Since Last GM Reset	22	15	7	0	0	0	0	0	85	65	20	11	7	4	0	0	0	0	0	44	33	11	11	8	3	0	0	0	0	0	41	32	9	30	0.682	85	135	220	0	1	18	40	25	2	600	160	232	201	7	679	240	228	408	68	23	33.82%	69	14	79.71%	3	219	443	49.44%	252	480	52.50%	160	321	49.84%	398	178	466	228	467	234
	_Vs Conference	15	12	3	0	0	0	0	0	67	43	24	8	6	2	0	0	0	0	0	37	23	14	7	6	1	0	0	0	0	0	30	20	10	24	0.800	67	108	175	0	1	18	40	25	2	408	160	232	201	7	407	138	181	270	52	19	36.54%	48	10	79.17%	3	219	443	49.44%	252	480	52.50%	160	321	49.84%	398	178	466	228	467	234
	_Vs Division	5	8	1	0	0	0	0	0	28	16	12	3	4	1	0	0	0	0	0	16	8	8	2	4	0	0	0	0	0	0	12	8	4	16	1.600	28	47	75	0	0	18	40	25	2	157	160	232	201	7	122	41	67	90	25	9	36.00%	16	6	62.50%	2	219	443	49.44%	252	480	52.50%	160	321	49.84%	398	178	466	228	467	234

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
22	30	L1	85	135	220	600	679	240	228	408	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	15	7	0	0	0	0	85	65

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	7	4	0	0	0	0	44	33

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	8	3	0	0	0	0	41	32

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	3	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
68	23	33.82%	69	14	79.71%	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
160	232	201	7	18	40	25	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
219	443	49.44%	252	480	52.50%	160	321	49.84%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
398	178	466	228	467	234

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	Link
2	8	Griffins	1	Islanders	5	W		BoxScore
4	16	Griffins	4	Islanders	3	L	X	BoxScore
6	24	Islanders	7	Griffins	6	W		BoxScore
8	32	Islanders	5	Griffins	2	W		BoxScore
10	40	Griffins	3	Islanders	8	W		BoxScore
16	60	Islanders	6	Thunderbirds	4	W		BoxScore
18	64	Islanders	3	Thunderbirds	2	W		BoxScore
20	68	Thunderbirds	5	Islanders	7	W		BoxScore
22	72	Thunderbirds	1	Islanders	2	W		BoxScore
30	86	Heat	3	Islanders	6	W		BoxScore
32	88	Heat	3	Islanders	2	L		BoxScore
34	90	Islanders	3	Heat	4	L		BoxScore
36	92	Islanders	3	Heat	0	W		BoxScore
38	94	Heat	3	Islanders	4	W	X	BoxScore
40	96	Islanders	3	Heat	2	W	X	BoxScore
43	99	Islanders	2	Condors	1	W		BoxScore
44	100	Islanders	3	Condors	4	L	X	BoxScore
45	101	Condors	5	Islanders	3	L		BoxScore
46	102	Condors	4	Islanders	1	L		BoxScore
47	103	Islanders	4	Condors	2	W		BoxScore
48	104	Condors	1	Islanders	3	W		BoxScore
49	105	Islanders	2	Condors	5	L		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	30	15
Attendance	22,000	10,782
Attendance PCT	100.00%	98.02%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
35	2980 - 99.34%	111,307$	1,224,378$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,618,500$	2,618,500$	795,000$0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	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: 22 \| W: 15 \| L: 7 GF: 85 \| GA: 65 \| PP%: 33.82% \| PK%: 79.71% GM : Trevor Robb \| Morale : 86 \| Team Overall : 60