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

Game Center
	Maine Mariners 8-4-0, 16pts	4	Box score	5	Seattle Metropolitans 3-4-0, 6pts

Team Stats
W3	Streak	L1
5-2-0	Home Record	2-1-0
3-2-0	Home Record	1-3-0
6-3-1	Last 10 Games	3-4-0
3.50	Goals Per Game	2.71
2.33	Goals Against Per Game	3.57
26.42%	Power Play Percentage	22.73%
74.47%	Penalty Kill Percentage	78.57%

Seattle Metropolitans
3-4-0, 6pts

Box score

Maine Mariners
8-4-0, 16pts

Team Stats
L1	Streak	W3
2-1-0	Home Record	5-2-0
1-3-0	Home Record	3-2-0
3-4-0	Last 10 Games	6-3-1
2.71	Goals Per Game	3.50
3.57	Goals Against Per Game	2.33
22.73%	Power Play Percentage	26.42%
78.57%	Penalty Kill Percentage	74.47%

Team Leaders
Goals Aleksanteri Kaskimaki 4			Assists Anton Johansson 6

Points Domenick Fensore 8			Plus/Minus Domenick Fensore 2

Wins Henrik Tikkanen 3			Save Percentage Henrik Tikkanen 0.912

Team Stats
Goals For 19 2.71 GFG	Shots For 214 30.57 Avg	Power Play Percentage 22.7% 5 GF	Offensive Zone Start 37.2%
Goals Against 25 3.57 GAA	Shots Against 302 43.14 Avg	Penalty Kill Percentage 78.6%% 6 GA	Defensive Zone Start 45.4%

Team Info
	General Manager	Mat Sheridan
	Coach	Mike Yeo
	Division	Metropolitan Division
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	23
	Farm Team	19
	Contract Limit	42 / 50
	Prospects	31

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	Aidan Thompson (R)	X	X			100.00	53	50	83	65	49	64	64	64	73	62	58	60	58	27	27	0	64	0	0	23	3	600,000$
2	Aleksanteri Kaskimaki (R)	X				100.00	55	50	96	68	60	69	72	66	77	59	56	60	56	34	35	0	64	0	0	21	3	700,000$
3	Alexander Perevalov (R)		X			100.00	58	50	94	65	62	64	64	64	50	56	54	60	54	25	26	0	64	0	0	21	3	700,000$
4	Danila Yurov (R)	X		X		100.00	60	50	93	69	39	66	66	66	75	57	59	61	59	37	37	0	64	0	0	21	3	900,000$
5	Chase Yoder (R)	X				100.00	50	50	86	66	70	63	63	62	75	52	52	59	53	36	34	0	64	0	0	23	1	400,000$
6	William Stromgren (R)		X			100.00	70	50	93	69	56	69	75	66	50	62	57	61	54	35	34	0	63	0	0	22	2	800,000$
7	Ayrton Martino (R)		X			100.00	58	50	93	65	30	63	63	63	50	60	61	61	55	32	28	0	64	0	0	22	2	750,000$
8	Owen McLaughlin (R)	X				100.00	50	50	95	65	29	63	63	63	75	60	52	58	55	31	28	0	64	0	0	22	2	300,000$
9	Oskar Pettersson (R)	X		X		100.00	75	50	89	67	75	69	73	67	73	54	55	61	55	34	35	0	64	0	0	21	3	700,000$
10	Sandis Vilmanis (R)		X			100.00	60	50	94	67	59	69	71	66	50	58	55	61	55	28	30	0	64	0	0	21	3	500,000$
11	Nick Capone (R)			X		100.00	65	55	76	66	82	64	65	62	52	52	50	59	54	36	31	0	65	0	0	23	1	450,000$
12	Ryder Rolston (R)	X		X		100.00	50	50	94	68	42	69	72	63	70	57	57	62	54	36	31	0	64	0	0	23	1	500,000$
13	Kyle Masters (R)				X	100.00	58	50	91	66	44	64	64	63	40	54	57	65	54	34	29	0	64	0	0	22	2	500,000$
14	Anton Johansson (R)				X	100.00	75	50	70	66	33	69	70	66	40	54	57	67	57	34	34	0	64	0	0	21	3	600,000$
15	Domenick Fensore				X	100.00	60	53	85	70	46	69	74	67	40	57	58	69	58	50	36	0	68	0	0	23	1	715,000$
16	Michael Karow (R)				X	100.00	60	53	76	70	68	69	75	61	40	54	53	67	50	43	39	0	63	0	0	26	1	605,000$
17	Michael Fisher (R)				X	100.00	41	50	64	61	78	54	54	60	40	53	51	60	51	26	25	0	49	0	0	21	3	700,000$
18	Nolan Collins (R)				X	100.00	65	63	66	62	80	59	59	65	40	54	53	64	53	25	28	0	23	0	0	21	3	400,000$
19	Dillon Heatherington				X	100.00	63	53	84	69	81	83	87	68	40	62	60	68	59	60	61	0	63	0	0	30	1	660,000$
Scratches
1	Chad Yetman (R)			X		100.00	50	50	89	66	48	63	63	61	52	57	53	59	57	37	31	0	19	0	0	25	1	400,000$
2	Ryan Chesley (R)				X	100.00	53	50	67	65	62	64	65	65	40	54	57	64	57	28	28	0	40	0	0	21	3	900,000$

	TEAM AVERAGE					100.00	59	51	85	66	57	66	68	64	54	57	55	62	55	35	33	0	58	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
1	Henrik Tikkanen (R)	100.00	74	63	60	99	76	75	74	75	76	77	74	37	37	0	19	0	0	24	1	300,000$
2	Pheonix Copley	100.00	73	65	65	88	79	80	78	80	79	75	77	66	66	0	62	0	0	33	1	900,000$
Scratches

	TEAM AVERAGE	100.00	74	64	63	94	78	78	76	78	78	76	76	52	52	0	41	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mike Yeo	86	75	80	74	90	93	50	CAN	49	3	1$

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	PKS	PKM	GW	GT	FO%	FOT	EG	P/20	FW	FL	S1	S2	S3
1	Domenick Fensore	Seattle Metropolitans (NYI)	D	7	3	5	8	2	7	5	1	9	18	7	11	16.67%	21	168	24.11	1	2	3	9	19	0	22	1	0	0%	0	1	0.95	1	0	1	0	1
2	Anton Johansson	Seattle Metropolitans (NYI)	D	7	1	6	7	1	8	0	18	11	13	1	9	7.69%	19	169	24.27	0	1	1	6	19	0	21	0	1	0%	0	0	0.82	0	0	1	1	0
3	Aleksanteri Kaskimaki	Seattle Metropolitans (NYI)	C	7	4	2	6	0	0	0	5	14	16	4	11	25.00%	4	132	18.96	2	1	3	2	18	1	14	1	0	53.80%	158	0	0.90	0	0	1	0	0
4	Danila Yurov	Seattle Metropolitans (NYI)	C/RW	7	3	2	5	-4	2	0	6	7	27	2	8	11.11%	4	129	18.51	0	1	1	7	19	0	0	0	0	42.86%	7	0	0.77	0	0	0	1	0
5	Sandis Vilmanis	Seattle Metropolitans (NYI)	LW	7	1	3	4	2	2	0	7	5	14	2	8	7.14%	4	119	17.01	0	1	1	4	18	0	13	1	0	37.50%	8	0	0.67	0	0	0	0	0
6	Aidan Thompson	Seattle Metropolitans (NYI)	C/LW	7	1	2	3	-5	2	0	2	6	11	4	10	9.09%	0	114	16.39	0	0	0	0	0	0	4	0	0	44.67%	150	0	0.52	0	0	0	0	0
7	William Stromgren	Seattle Metropolitans (NYI)	LW	7	0	3	3	-4	4	0	12	11	11	5	15	0%	4	154	22.06	0	0	0	2	19	0	24	0	0	31.25%	16	0	0.39	0	0	0	0	0
8	Ayrton Martino	Seattle Metropolitans (NYI)	LW	7	1	2	3	0	4	0	2	4	8	2	5	12.50%	0	98	14.13	0	0	0	0	0	0	0	0	0	0%	6	0	0.61	0	0	0	0	0
9	Owen McLaughlin	Seattle Metropolitans (NYI)	C	7	1	2	3	2	2	0	4	7	4	2	6	25.00%	0	90	12.93	0	0	0	0	2	0	0	0	1	47.66%	107	0	0.66	0	0	0	0	0
10	Oskar Pettersson	Seattle Metropolitans (NYI)	C/RW	7	2	1	3	1	2	0	17	9	17	2	4	11.76%	3	145	20.81	1	0	1	8	19	0	25	0	0	57.84%	102	0	0.41	0	0	0	0	2
11	Dillon Heatherington	Seattle Metropolitans (NYI)	D	7	1	2	3	-5	11	5	18	14	11	6	8	9.09%	18	158	22.69	1	0	1	5	17	0	19	0	0	0%	0	0	0.38	0	1	0	0	0
12	Nolan Collins	Seattle Metropolitans (NYI)	D	7	1	1	2	-2	6	0	7	8	6	0	2	16.67%	5	126	18.05	0	0	0	0	0	0	20	0	0	0%	0	0	0.32	0	0	0	0	0
13	Ryder Rolston	Seattle Metropolitans (NYI)	C/RW	7	0	2	2	2	4	0	5	9	13	1	8	0%	1	105	15.06	0	1	1	2	18	0	0	0	0	50.00%	8	0	0.38	0	0	0	0	0
14	Michael Karow	Seattle Metropolitans (NYI)	D	7	0	1	1	-2	4	0	8	6	6	1	4	0%	13	116	16.60	0	0	0	1	1	0	2	0	0	0%	0	0	0.17	0	0	0	0	0
15	Alexander Perevalov	Seattle Metropolitans (NYI)	LW	7	0	0	0	-3	0	0	0	3	4	0	5	0%	2	63	9.07	0	0	0	0	0	0	2	0	0	0%	1	0	0	0	0	0	0	0
16	Kyle Masters	Seattle Metropolitans (NYI)	D	7	0	0	0	-4	10	0	7	6	16	2	10	0%	19	148	21.22	0	0	0	6	17	0	8	0	0	0%	0	0	0	0	0	0	0	0
17	Chase Yoder	Seattle Metropolitans (NYI)	C	7	0	0	0	-3	0	0	4	4	8	3	6	0%	0	60	8.68	0	0	0	0	0	0	0	0	0	42.25%	71	0	0	0	0	0	0	0
18	Michael Fisher	Seattle Metropolitans (NYI)	D	7	0	0	0	0	0	0	0	0	2	0	0	0%	0	3	0.57	0	0	0	2	1	0	1	0	0	0%	0	0	0	0	0	0	0	0
19	Nick Capone	Seattle Metropolitans (NYI)	RW	7	0	0	0	-3	0	0	7	2	9	2	6	0%	0	73	10.51	0	0	0	0	1	2	11	0	0	25.00%	12	0	0	0	0	0	0	0
Team Total or Average				133	19	34	53	-25	68	10	130	135	214	46	136	8.88%	117	2181	16.40	5	7	12	54	194	3	193	3	2	47.99%	646	1	0.49	1	1	3	2	3

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	PCT	GAA	MP	GA	SA	A	PS %	ST	BG	S3
1	Henrik Tikkanen	Seattle Metropolitans (NYI)	7	3	4	0.912	3.48	397	23	261	1	0	7	0	1
2	Pheonix Copley	Seattle Metropolitans (NYI)	1	0	0	0.951	2.50	48	2	41	1	0	0	7	0
Team Total or Average			8	3	4	0.917	3.36	446	25	302	2		7	7	1

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
Aidan Thompson	Seattle Metropolitans (NYI)	C/LW	23	2002-02-18	USA	Yes	180 Lbs	5 ft11	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	600,000$	60,000$	2,143$	No	600,000$	600,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Aleksanteri Kaskimaki	Seattle Metropolitans (NYI)	C	21	2004-02-06	FIN	Yes	192 Lbs	6 ft0	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	700,000$	70,000$	2,500$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Alexander Perevalov	Seattle Metropolitans (NYI)	LW	21	2004-04-16	RUS	Yes	194 Lbs	6 ft0	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	700,000$	70,000$	2,500$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Anton Johansson	Seattle Metropolitans (NYI)	D	21	2004-06-10	SWE	Yes	165 Lbs	6 ft0	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	600,000$	60,000$	2,143$	No	600,000$	600,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Ayrton Martino	Seattle Metropolitans (NYI)	LW	22	2002-09-28	CAN	Yes	160 Lbs	5 ft11	No	No	N/A		No	No	2		False	False	Pro & Farm	750,000$	75,000$	2,679$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Chad Yetman	Seattle Metropolitans (NYI)	RW	25	2000-02-18	CAN	Yes	179 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	400,000$	40,000$	1,429$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Chase Yoder	Seattle Metropolitans (NYI)	C	23	2002-05-28	USA	Yes	176 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	400,000$	40,000$	1,429$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Danila Yurov	Seattle Metropolitans (NYI)	C/RW	21	2003-12-22	RUS	Yes	171 Lbs	6 ft1	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	900,000$	90,000$	3,214$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Dillon Heatherington	Seattle Metropolitans (NYI)	D	30	1995-05-09	CAN	No	215 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	660,000$	66,000$	2,357$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Domenick Fensore	Seattle Metropolitans (NYI)	D	23	2001-09-07	USA	No	151 Lbs	5 ft7	No	No	N/A		No	No	1		False	False	Pro & Farm	715,000$	71,500$	2,554$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Henrik Tikkanen	Seattle Metropolitans (NYI)	G	24	2000-09-28	FIN	Yes	201 Lbs	6 ft7	No	No	N/A		No	No	1		False	False	Pro & Farm	300,000$	30,000$	1,071$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kyle Masters	Seattle Metropolitans (NYI)	D	22	2003-04-09	CAN	Yes	177 Lbs	6 ft0	No	No	Trade	2025-08-19	No	No	2		False	False	Pro & Farm	500,000$	50,000$	1,786$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Michael Fisher	Seattle Metropolitans (NYI)	D	21	2004-05-02	USA	Yes	213 Lbs	6 ft3	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	700,000$	70,000$	2,500$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Michael Karow	Seattle Metropolitans (NYI)	D	26	1998-12-18	USA	Yes	201 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	605,000$	60,500$	2,161$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nick Capone	Seattle Metropolitans (NYI)	RW	23	2001-12-17	USA	Yes	216 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	450,000$	45,000$	1,607$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nolan Collins	Seattle Metropolitans (NYI)	D	21	2004-04-28	CAN	Yes	215 Lbs	6 ft4	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	400,000$	40,000$	1,429$	No	400,000$	400,000$	-	-	-	-	-	-	-	400,000$	400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Oskar Pettersson	Seattle Metropolitans (NYI)	C/RW	21	2004-02-04	SWE	Yes	209 Lbs	6 ft2	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	700,000$	70,000$	2,500$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Owen McLaughlin	Seattle Metropolitans (NYI)	C	22	2003-03-25	USA	Yes	160 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	300,000$	30,000$	1,071$	No	300,000$	-	-	-	-	-	-	-	-	300,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Pheonix Copley	Seattle Metropolitans (NYI)	G	33	1992-01-18	USA	No	200 Lbs	6 ft4	No	No	Free Agent		No	No	1	2025-09-15	False	False	Pro & Farm	900,000$	90,000$	3,214$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ryan Chesley	Seattle Metropolitans (NYI)	D	21	2004-02-27	USA	Yes	195 Lbs	6 ft1	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	900,000$	90,000$	3,214$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Ryder Rolston	Seattle Metropolitans (NYI)	C/RW	23	2001-10-31	USA	Yes	190 Lbs	6 ft2	No	No	Trade	2025-02-02	No	No	1		False	False	Pro & Farm	500,000$	50,000$	1,786$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sandis Vilmanis	Seattle Metropolitans (NYI)	LW	21	2004-01-23	LAT	Yes	192 Lbs	6 ft1	No	No	Prospect		No	No	3	2025-07-04	False	False	Pro & Farm	500,000$	50,000$	1,786$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
William Stromgren	Seattle Metropolitans (NYI)	LW	22	2003-06-07	SWE	Yes	175 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	800,000$	80,000$	2,857$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	23.04	188 Lbs	6 ft1	2.04	607,826$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	William Stromgren	Aidan Thompson	Danila Yurov	36	1	2	2
2	Ayrton Martino	Aleksanteri Kaskimaki	Oskar Pettersson	32	1	2	2
3	Sandis Vilmanis	Owen McLaughlin	Ryder Rolston	22	1	2	2
4	Alexander Perevalov	Chase Yoder	Nick Capone	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Domenick Fensore	Anton Johansson	36	1	2	2
2	Dillon Heatherington	Kyle Masters	32	1	2	2
3	Michael Karow	Nolan Collins	22	1	2	2
4	Domenick Fensore	Anton Johansson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	William Stromgren	Oskar Pettersson	Danila Yurov	60	1	2	2
2	Sandis Vilmanis	Aleksanteri Kaskimaki	Ryder Rolston	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Domenick Fensore	Anton Johansson	60	1	2	2
2	Dillon Heatherington	Kyle Masters	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Oskar Pettersson	William Stromgren	60	1	2	2
2	Aleksanteri Kaskimaki	Sandis Vilmanis	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Domenick Fensore	Anton Johansson	60	1	2	2
2	Dillon Heatherington	Nolan Collins	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Oskar Pettersson	60	1	2	2	Domenick Fensore	Anton Johansson	60	1	2	2
2	William Stromgren	40	1	2	2	Dillon Heatherington	Kyle Masters	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Oskar Pettersson	William Stromgren	60	1	2	2
2	Aleksanteri Kaskimaki	Sandis Vilmanis	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Domenick Fensore	Anton Johansson	60	1	2	2
2	Dillon Heatherington	Kyle Masters	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
William Stromgren	Oskar Pettersson	Danila Yurov	Domenick Fensore	Anton Johansson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
William Stromgren	Oskar Pettersson	Danila Yurov	Domenick Fensore	Anton Johansson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Owen McLaughlin, Aidan Thompson, Nick Capone	Owen McLaughlin, Aidan Thompson	Nick Capone

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Michael Karow, Nolan Collins, Dillon Heatherington	Kyle Masters	Nolan Collins, Dillon Heatherington

Penalty Shots
Oskar Pettersson, William Stromgren, Aleksanteri Kaskimaki, Sandis Vilmanis, Danila Yurov

Goalie
#1 : Henrik Tikkanen, #2 : Pheonix Copley

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	Maine Mariners	7	3	4	0	0	0	0	0	19	25	-6	3	2	1	0	0	0	0	0	9	10	-1	4	1	3	0	0	0	0	0	10	15	-5	6	0.429	19	34	53	0	0	5	5	8	1	214	56	71	71	16	302	117	68	130	22	5	22.73%	28	6	78.57%	0	123	240	51.25%	130	293	44.37%	57	113	50.44%	149	97	203	54	93	44
	Total	7	3	4	0	0	0	0	0	19	25	-6	3	2	1	0	0	0	0	0	9	10	-1	4	1	3	0	0	0	0	0	10	15	-5	6	0.429	19	34	53	0	0	5	5	8	1	214	56	71	71	16	302	117	68	130	22	5	22.73%	28	6	78.57%	0	123	240	51.25%	130	293	44.37%	57	113	50.44%	149	97	203	54	93	44
	_Since Last GM Reset	7	3	4	0	0	0	0	0	19	25	-6	3	2	1	0	0	0	0	0	9	10	-1	4	1	3	0	0	0	0	0	10	15	-5	6	0.429	19	34	53	0	0	5	5	8	1	214	56	71	71	16	302	117	68	130	22	5	22.73%	28	6	78.57%	0	123	240	51.25%	130	293	44.37%	57	113	50.44%	149	97	203	54	93	44
	_Vs Conference	7	3	4	0	0	0	0	0	19	25	-6	3	2	1	0	0	0	0	0	9	10	-1	4	1	3	0	0	0	0	0	10	15	-5	6	0.429	19	34	53	0	0	5	5	8	1	214	56	71	71	16	302	117	68	130	22	5	22.73%	28	6	78.57%	0	123	240	51.25%	130	293	44.37%	57	113	50.44%	149	97	203	54	93	44
	_Vs Division	7	3	4	0	0	0	0	0	19	25	-6	3	2	1	0	0	0	0	0	9	10	-1	4	1	3	0	0	0	0	0	10	15	-5	6	0.429	19	34	53	0	0	5	5	8	1	214	56	71	71	16	302	117	68	130	22	5	22.73%	28	6	78.57%	0	123	240	51.25%	130	293	44.37%	57	113	50.44%	149	97	203	54	93	44

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
7	6	L1	19	34	53	214	302	117	68	130	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	19	25

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	9	10

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	10	15

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	4	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
22	5	22.73%	28	6	78.57%	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
56	71	71	16	5	5	8	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
123	240	51.25%	130	293	44.37%	57	113	50.44%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
149	97	203	54	93	44

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
1	1	Seattle Metropolitans	3	Maine Mariners	4	L		Box score
3	9	Seattle Metropolitans	1	Maine Mariners	3	L		Box score
5	17	Maine Mariners	4	Seattle Metropolitans	0	L		Box score
7	25	Maine Mariners	2	Seattle Metropolitans	4	W		Box score
9	33	Seattle Metropolitans	4	Maine Mariners	3	W		Box score
11	41	Maine Mariners	4	Seattle Metropolitans	5	W	X	Box score
13	49	Seattle Metropolitans	2	Maine Mariners	5	L		Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	6,000	3,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	3000 - 100.00%	68,000$	204,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	1,398,000$	1,398,000$	1$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	23	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	0$	0$

Seattle Metropolitans 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

Seattle Metropolitans 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

Seattle Metropolitans 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

Seattle Metropolitans 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

Seattle Metropolitans 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

	Seattle Metropolitans
	GP: 7 \| W: 3 \| L: 4 GF: 19 \| GA: 25 \| PP%: 22.73% \| PK%: 78.57% GM : Mat Sheridan \| Morale : 62 \| Team Overall : N/A