New York Islanders
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Game Center
	Bridgeport Islanders 3-6-1, 7pts	0	FINAL	7	Utica Comets 9-1-0, 18pts

Team Stats
SOL1	Streak	W6
2-2-1	Home Record	4-0-0
1-4-0	Home Record	5-1-0
3-6-1	Last 10 Games	9-1-0
2.00	Goals Per Game	4.00
4.60	Goals Against Per Game	0.90
9.52%	Power Play Percentage	25.00%
60.00%	Penalty Kill Percentage	91.18%

Toronto Marlies
2-6-2, 6pts

FINAL

Bridgeport Islanders
3-6-1, 7pts

Team Stats
SOW1	Streak	SOL1
1-2-1	Home Record	2-2-1
1-4-1	Home Record	1-4-0
2-6-2	Last 10 Games	3-6-1
2.60	Goals Per Game	2.00
4.40	Goals Against Per Game	4.60
18.75%	Power Play Percentage	9.52%
87.50%	Penalty Kill Percentage	60.00%

Bridgeport Islanders
3-6-1, 7pts

Day 24

Wilkes-Barre/Scranton Penguins
8-2-0, 16pts

Team Stats
SOL1	Streak	W3
2-2-1	Home Record	4-0-0
1-4-0	Away Record	4-2-0
3-6-1	Last 10 Games	8-2-0
2.00	Goals Per Game	4.00
4.60	Goals Against Per Game	4.00
9.52%	Power Play Percentage	18.18%
60.00%	Penalty Kill Percentage	90.32%

Hartford Wolf Pack
0-10-0, 0pts

Day 27

Bridgeport Islanders
3-6-1, 7pts

Team Stats
L10	Streak	SOL1
0-4-0	Home Record	2-2-1
0-6-0	Away Record	1-4-0
0-10-0	Last 10 Games	3-6-1
1.80	Goals Per Game	2.00
5.30	Goals Against Per Game	2.00
0.00%	Power Play Percentage	9.52%
85.71%	Penalty Kill Percentage	60.00%

Bridgeport Islanders
3-6-1, 7pts

Day 29

Hartford Wolf Pack
0-10-0, 0pts

Team Stats
SOL1	Streak	L10
2-2-1	Home Record	0-4-0
1-4-0	Away Record	0-6-0
3-6-1	Last 10 Games	0-10-0
2.00	Goals Per Game	1.80
4.60	Goals Against Per Game	1.80
9.52%	Power Play Percentage	0.00%
60.00%	Penalty Kill Percentage	85.71%

Team Leaders

Team Stats
Goals For 20 2.00 GFG	Shots For 259 25.90 Avg	Power Play Percentage 9.5% 2 GF	Offensive Zone Start 32.3%
Goals Against 46 4.60 GAA	Shots Against 432 43.20 Avg	Penalty Kill Percentage 60.0%% 6 GA	Defensive Zone Start 44.2%

Team Info
	General Manager	Dave Bergeron
	Division	ATLANTIC
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,871
	Season Tickets	300
Roster Info
	Pro Team	27
	Farm Team	20
	Contract Limit	47 / 250
	Prospects	50

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
Scratches
1	TJ Tynan	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	32	1	702,019$
2	Kyle Turris	X	X	X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	35	2	750,000$
3	Michael Sgarbossa	X				100.00	66	37	84	64	70	80	84	63	73	68	65	62	64	72	73	27	50	0	0	32	4	775,000$
4	Cooper Marody (R)	X				100.00	62	39	81	65	71	83	81	64	70	67	61	62	65	68	70	41	50	0	0	27	1	925,000$
5	Saku Maenalanen	X	X			100.00	40	35	40	65	35	80	90	40	20	40	40	40	30	68	69	11	50	0	0	30	3	750,000$
6	Joseph Gambardella	X				100.00	61	36	95	59	70	72	82	57	68	61	56	55	59	71	73	34	50	0	0	30	3	750,000$
7	Matthew Phillips (R)	X				100.00	59	34	95	65	60	82	80	64	61	62	63	60	64	66	68	47	50	0	0	26	3	750,000$
8	Mikhail Maltsev (R)		X			100.00	72	39	92	63	83	84	69	62	65	61	58	60	63	67	68	59	50	0	0	26	3	800,000$
9	Joel Kellman	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	30	1	700,000$
10	CJ Suess		X			100.00	61	38	81	59	70	76	81	56	63	57	58	54	55	70	72	46	50	0	0	30	3	775,000$
11	Lukas Rousek (R)			X		100.00	58	36	91	66	68	75	86	65	71	67	59	63	64	66	67	47	49	0	0	25	3	775,000$
12	Hunter McKown (R)	X				100.00	68	38	83	62	78	81	71	57	66	61	55	58	56	62	64	44	50	0	0	22	1	950,000$
13	Samuel Walker (R)	X				100.00	40	35	40	68	35	80	90	40	20	40	40	40	30	64	66	11	50	0	0	25	3	842,500$
14	Dan Hamhuis				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	41	1	1,500,000$
15	Sami Niku				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	27	2	750,000$
16	Christian Wolanin				X	100.00	65	38	86	66	78	83	80	65	30	67	55	58	49	69	71	49	50	0	0	29	2	750,000$
17	Lucas Carlsson (R)				X	100.00	68	39	74	62	73	90	82	61	30	63	59	60	52	67	69	51	50	0	0	27	3	800,000$
18	Casey Fitzgerald (R)				X	100.00	66	39	77	62	70	76	78	56	30	63	52	65	48	67	69	54	50	0	0	27	3	750,000$
19	Cavan Fitzgerald				X	100.00	66	39	84	60	75	72	76	59	30	58	57	61	50	68	70	36	50	0	0	28	2	750,000$
20	Jack Rathbone				X	100.00	60	36	90	64	66	83	82	63	30	62	60	61	52	65	67	60	50	0	0	25	3	750,000$
21	Wyatt Kalynuk				X	100.00	64	42	68	59	73	65	84	58	30	57	54	56	46	67	69	42	50	0	0	27	1	925,000$
22	Daemon Hunt (R)				X	100.00	67	38	89	63	78	74	82	61	30	62	56	65	49	62	64	67	50	0	0	22	2	867,500$
23	Marcus Bjork (R)				X	100.00	77	40	78	65	89	83	84	64	30	67	60	62	65	67	69	37	50	0	0	26	3	775,000$
24	Spencer Stastney (R)				X	100.00	60	36	95	64	71	82	84	63	30	65	60	68	52	64	65	56	50	0	0	24	1	925,000$
25	Wyatt Kaiser (R)				X	100.00	61	40	72	66	69	85	74	63	30	67	58	65	49	62	64	65	50	0	0	22	2	925,000$

	TEAM AVERAGE					100.00	58	37	72	59	62	79	83	55	39	57	53	55	48	58	60	38	50	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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
Scratches
1	Adam Huska (R)	100.00	40	90	80	50	40	40	40	40	40	40	40	25	25	11	50	0	0	27	2	750,000$
2	Felix Sandstrom (R)	100.00	66	99	76	83	67	67	66	66	67	55	73	67	77	56	50	0	0	27	3	750,000$

	TEAM AVERAGE	100.00	53	95	78	67	54	54	53	53	54	48	57	46	51	34	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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

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

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	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	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 Huska	Bridgeport Islanders (NYI)	G	27	1997-05-12	SVK	Yes	214 Lbs	6 ft4	No	No	N/A	No	No	2		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
CJ Suess	Bridgeport Islanders (NYI)	LW	30	1994-03-17	USA	No	190 Lbs	5 ft11	No	No	N/A	No	No	3		False	False	Pro & Farm	775,000$	683,119$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Casey Fitzgerald	Bridgeport Islanders (NYI)	D	27	1997-02-25	USA	Yes	188 Lbs	5 ft11	No	No	N/A	No	No	3		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Cavan Fitzgerald	Bridgeport Islanders (NYI)	D	28	1996-08-23	CAN	No	190 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Christian Wolanin	Bridgeport Islanders (NYI)	D	29	1995-03-17	USA	No	190 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Cooper Marody	Bridgeport Islanders (NYI)	C	27	1996-12-20	USA	Yes	184 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	815,335$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Daemon Hunt	Bridgeport Islanders (NYI)	D	22	2002-05-12	CAN	Yes	201 Lbs	6 ft1	No	No	Assign Manually	No	No	2	2024-08-20	False	False	Pro & Farm	867,500$	764,652$	0$	0$	No	867,500$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Dan Hamhuis	Bridgeport Islanders (NYI)	D	41	1983-07-28	CAN	No	204 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	1,500,000$	1,322,165$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Felix Sandstrom	Bridgeport Islanders (NYI)	G	27	1997-01-12	SWE	Yes	211 Lbs	6 ft2	No	No	N/A	No	No	3		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	702,019$	702,019$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Hunter McKown	Bridgeport Islanders (NYI)	C	22	2002-08-18	USA	Yes	205 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	950,000$	837,371$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jack Rathbone	Bridgeport Islanders (NYI)	D	25	1999-05-20	USA	No	177 Lbs	5 ft10	No	No	N/A	No	No	3		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Joel Kellman	Bridgeport Islanders (NYI)	C	30	1994-05-25	SWE	No	192 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	700,000$	617,010$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joseph Gambardella	Bridgeport Islanders (NYI)	C	30	1993-12-01	USA	No	196 Lbs	5 ft10	No	No	N/A	No	No	3		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Kyle Turris	Bridgeport Islanders (NYI)	C/LW/RW	35	1989-07-28	CAN	No	190 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Lucas Carlsson	Bridgeport Islanders (NYI)	D	27	1997-07-05	SWE	Yes	189 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	800,000$	705,155$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Lukas Rousek	Bridgeport Islanders (NYI)	RW	25	1999-04-20	CZE	Yes	171 Lbs	5 ft11	No	No	N/A	No	No	3		False	False	Pro & Farm	775,000$	683,119$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Marcus Bjork	Bridgeport Islanders (NYI)	D	26	1997-11-24	SWE	Yes	211 Lbs	6 ft4	No	No	N/A	No	No	3		False	False	Pro & Farm	775,000$	683,119$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Matthew Phillips	Bridgeport Islanders (NYI)	C	26	1998-04-06	CAN	Yes	160 Lbs	5 ft8	No	No	N/A	No	No	3		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Michael Sgarbossa	Bridgeport Islanders (NYI)	C	32	1992-07-25	CAN	No	179 Lbs	6 ft0	No	No	N/A	No	No	4	2024-05-19	False	False	Pro & Farm	775,000$	683,119$	0$	0$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Mikhail Maltsev	Bridgeport Islanders (NYI)	LW	26	1998-03-12	RUS	Yes	198 Lbs	6 ft3	No	No	N/A	No	No	3		False	False	Pro & Farm	800,000$	705,155$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Saku Maenalanen	Bridgeport Islanders (NYI)	C/LW	30	1994-05-29	FIN	No	214 Lbs	6 ft4	No	No	N/A	No	No	3		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Sami Niku	Bridgeport Islanders (NYI)	D	27	1996-10-10	FIN	No	176 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	750,000$	661,082$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Samuel Walker	Bridgeport Islanders (NYI)	C	25	1999-06-07	USA	Yes	180 Lbs	5 ft10	No	No	N/A	No	No	3		False	False	Pro & Farm	842,500$	742,616$	0$	0$	No	842,500$	842,500$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Spencer Stastney	Bridgeport Islanders (NYI)	D	24	2000-01-04	USA	Yes	184 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	815,335$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
TJ Tynan	Bridgeport Islanders (NYI)	C	32	1992-02-25	USA	No	165 Lbs	5 ft8	No	No	N/A	No	No	1		False	False	Pro & Farm	702,019$	618,790$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Wyatt Kaiser	Bridgeport Islanders (NYI)	D	22	2002-07-31	USA	Yes	173 Lbs	6 ft0	No	No	Assign Manually	No	No	2	2024-08-20	False	False	Pro & Farm	925,000$	815,335$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Wyatt Kalynuk	Bridgeport Islanders (NYI)	D	27	1997-04-14	CAN	No	180 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	815,335$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	27.74	189 Lbs	6 ft0	2.26	822,667$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				38	1	2	2
2				30	1	2	2
3				22	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			38	1	2	2
2			30	1	2	2
3			22	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

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

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

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	Cleveland Monsters	2	0	2	0	0	0	0	0	1	8	-7	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	1	8	-7	0	0.000	1	2	3	0	0	4	6	9	1	38	75	87	92	9	85	38	6	61	3	0	0.00%	3	1	66.67%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
2	Grand Rapids Griffins	1	0	1	0	0	0	0	0	1	7	-6	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	1	2	3	0	0	4	6	9	1	14	75	87	92	9	69	18	4	14	1	0	0.00%	2	2	0.00%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
3	Hartford Wolf Pack	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	4	6	9	1	41	75	87	92	9	23	3	0	20	4	0	0.00%	0	0	0%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
4	Rockford IceHogs	1	0	0	0	0	0	1	0	5	4	1	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	4	6	9	1	46	75	87	92	9	51	20	0	25	1	0	0.00%	0	0	0%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
5	Toronto Marlies	1	0	0	0	0	0	0	1	4	5	-1	1	0	0	0	0	0	0	1	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	8	12	0	0	4	6	9	1	45	75	87	92	9	36	13	2	30	2	0	0.00%	1	1	0.00%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
6	Tucson Roadrunners	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	4	6	9	1	44	75	87	92	9	32	7	2	27	1	1	100.00%	1	0	100.00%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
7	Utica Comets	2	0	2	0	0	0	0	0	1	12	-11	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	1	2	3	0	0	4	6	9	1	19	75	87	92	9	91	19	11	22	9	1	11.11%	3	0	100.00%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
8	Wilkes-Barre/Scranton Penguins	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	4	6	9	1	12	75	87	92	9	45	17	10	7	0	0	0%	5	2	60.00%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
	Total	10	2	6	0	0	0	1	1	20	46	-26	5	1	2	0	0	0	1	1	15	22	-7	5	1	4	0	0	0	0	0	5	24	-19	7	0.350	20	38	58	0	0	4	6	9	1	259	75	87	92	9	432	135	35	206	21	2	9.52%	15	6	60.00%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
	_Since Last GM Reset	10	2	6	0	0	0	1	1	20	46	-26	5	1	2	0	0	0	1	1	15	22	-7	5	1	4	0	0	0	0	0	5	24	-19	7	0.350	20	38	58	0	0	4	6	9	1	259	75	87	92	9	432	135	35	206	21	2	9.52%	15	6	60.00%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
	_Vs Conference	5	1	3	0	0	0	0	1	9	25	-16	3	0	2	0	0	0	0	1	6	16	-10	2	1	1	0	0	0	0	0	3	9	-6	3	0.300	9	18	27	0	0	4	6	9	1	117	75	87	92	9	195	52	23	79	15	1	6.67%	9	3	66.67%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45
	_Vs Division	2	1	3	0	0	0	0	0	5	12	-7	1	0	2	0	0	0	0	0	4	5	-1	1	1	1	0	0	0	0	0	1	7	-6	2	0.500	5	10	15	0	0	4	6	9	1	59	75	87	92	9	105	31	6	44	3	0	0.00%	3	3	0.00%	0	89	207	43.00%	111	283	39.22%	60	150	40.00%	175	124	325	68	109	45

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
10	7	SOL1	20	38	58	259	432	135	35	206	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	2	6	0	0	1	1	20	46

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	2	0	0	1	1	15	22

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	5	24

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	6	0	0	1	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
21	2	9.52%	15	6	60.00%	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
75	87	92	9	4	6	9	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
89	207	43.00%	111	283	39.22%	60	150	40.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
175	124	325	68	109	45

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
5	10	Bridgeport Islanders	1	Cleveland Monsters	4	L			BoxScore
6	26	Utica Comets	5	Bridgeport Islanders	1	L			BoxScore
8	41	Bridgeport Islanders	1	Grand Rapids Griffins	7	L			BoxScore
10	55	Wilkes-Barre/Scranton Penguins	6	Bridgeport Islanders	1	L			BoxScore
13	70	Bridgeport Islanders	0	Cleveland Monsters	4	L			BoxScore
15	85	Tucson Roadrunners	2	Bridgeport Islanders	4	W			BoxScore
16	94	Bridgeport Islanders	3	Hartford Wolf Pack	2	W			BoxScore
19	114	Rockford IceHogs	4	Bridgeport Islanders	5	W	X	X	BoxScore
21	126	Bridgeport Islanders	0	Utica Comets	7	L			BoxScore
23	145	Toronto Marlies	5	Bridgeport Islanders	4	L	X	X	BoxScore
24	153	Bridgeport Islanders	-	Wilkes-Barre/Scranton Penguins	-
27	178	Hartford Wolf Pack	-	Bridgeport Islanders	-
29	186	Bridgeport Islanders	-	Hartford Wolf Pack	-
31	211	LeHigh Valley Phantoms	-	Bridgeport Islanders	-
33	222	Bridgeport Islanders	-	LeHigh Valley Phantoms	-
35	235	Bridgeport Islanders	-	Bakersfield Condors	-
37	244	Bridgeport Islanders	-	Chicago Wolves	-
38	253	Manitoba Moose	-	Bridgeport Islanders	-
41	277	Bridgeport Islanders	-	Belleville Senators	-
42	286	Hartford Wolf Pack	-	Bridgeport Islanders	-
45	307	Bridgeport Islanders	-	Texas Stars	-
46	318	Laval Rocket	-	Bridgeport Islanders	-
49	344	Bridgeport Islanders	-	LeHigh Valley Phantoms	-
50	350	Ontario Reign	-	Bridgeport Islanders	-
55	379	Grand Rapids Griffins	-	Bridgeport Islanders	-
60	403	Syracuse Crunch	-	Bridgeport Islanders	-
63	428	Belleville Senators	-	Bridgeport Islanders	-
65	445	Bridgeport Islanders	-	Hershey Bears	-
67	455	Bridgeport Islanders	-	Manitoba Moose	-
68	468	Charlotte Checkers	-	Bridgeport Islanders	-
73	494	Tucson Roadrunners	-	Bridgeport Islanders	-
76	513	Bridgeport Islanders	-	Coachella Valley Firebirds	-
78	526	Toronto Marlies	-	Bridgeport Islanders	-
80	536	Bridgeport Islanders	-	Charlotte Checkers	-
81	547	Bridgeport Islanders	-	Rockford IceHogs	-
88	563	Cleveland Monsters	-	Bridgeport Islanders	-
90	582	Bridgeport Islanders	-	Colorado Eagles	-
91	597	Bridgeport Islanders	-	Syracuse Crunch	-
93	606	Rochester Americans	-	Bridgeport Islanders	-
95	627	Iowa Wild	-	Bridgeport Islanders	-
98	642	Bridgeport Islanders	-	Henderson Silver Knights	-
99	657	LeHigh Valley Phantoms	-	Bridgeport Islanders	-
102	676	Bridgeport Islanders	-	Springfield Thunderbirds	-
103	687	Bridgeport Islanders	-	Wilkes-Barre/Scranton Penguins	-
105	702	Rockford IceHogs	-	Bridgeport Islanders	-
108	723	Springfield Thunderbirds	-	Bridgeport Islanders	-
109	735	Bridgeport Islanders	-	Ontario Reign	-
112	754	Wilkes-Barre/Scranton Penguins	-	Bridgeport Islanders	-
114	770	Bridgeport Islanders	-	Utica Comets	-
116	783	Bridgeport Islanders	-	Laval Rocket	-
117	795	San Jose Barracuda	-	Bridgeport Islanders	-
120	813	Bridgeport Islanders	-	Hartford Wolf Pack	-
122	825	Abbotsford Canucks	-	Bridgeport Islanders	-
126	845	Bridgeport Islanders	-	Toronto Marlies	-
127	858	Utica Comets	-	Bridgeport Islanders	-
142	880	Bridgeport Islanders	-	Cleveland Monsters	-
143	887	Texas Stars	-	Bridgeport Islanders	-
146	903	Bridgeport Islanders	-	Cleveland Monsters	-
148	916	Bridgeport Islanders	-	Rochester Americans	-
149	925	Hershey Bears	-	Bridgeport Islanders	-
152	953	Calgary Wranglers	-	Bridgeport Islanders	-
154	964	Bridgeport Islanders	-	Providence Bruins	-
Trade Deadline --- Trades can’t be done after this day is simulated!
158	986	Providence Bruins	-	Bridgeport Islanders	-
162	1007	Milwaukee Admirals	-	Bridgeport Islanders	-
167	1019	Bridgeport Islanders	-	San Diego Gulls	-
171	1041	Utica Comets	-	Bridgeport Islanders	-
174	1067	Texas Stars	-	Bridgeport Islanders	-
175	1077	Bridgeport Islanders	-	Grand Rapids Griffins	-
180	1099	Chicago Wolves	-	Bridgeport Islanders	-
181	1101	Bridgeport Islanders	-	Abbotsford Canucks	-
187	1130	Bridgeport Islanders	-	Grand Rapids Griffins	-
193	1152	Chicago Wolves	-	Bridgeport Islanders	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	30	10
Attendance	9,388	4,965
Attendance PCT	93.88%	99.30%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
31	2871 - 95.69%	78,184$	390,922$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
268,709$	2,221,202$	1,863,106$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
11,449$	268,709$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,423,716$	171	11,449$	1,957,779$

Bridgeport 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

Bridgeport 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

Bridgeport 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

Bridgeport 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

Bridgeport 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

	Bridgeport Islanders
	GP: 10 \| W: 3 \| L: 6 \| OTL: 1 \| P: 7 GF: 20 \| GA: 46 \| PP%: 9.52% \| PK%: 60.00% GM : Dave Bergeron \| Morale : 50 \| Team Overall : N/A Next Games #153 vs Wilkes-Barre/Scranton Penguins