LHS - Ligue de Hockey Simule

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1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP

1	Chris Wagner	0	X	X	X		100.00	78	40	71	64	73	80	78	62	61	59	63	65	58	75	76	0	75	64	0
2	Joakim Kemell (R)	0			X		100.00	60	37	89	65	69	88	74	63	66	64	62	60	65	61	62	0	75	63	0
3	Reese Johnson (R)	0			X		100.00	85	64	75	62	76	77	78	59	83	60	57	70	58	66	67	0	75	63	0
4	Jonah Gadjovich (R)	0		X			100.00	79	77	53	60	82	72	74	61	53	59	62	58	60	66	68	0	75	62	0
5	Joe Carroll	0		X			100.00	72	41	74	58	81	75	72	59	60	57	61	56	62	64	65	0	75	61	0
6	Patrick Giles (R)	0			X		100.00	78	40	87	56	87	77	86	54	52	55	57	58	56	64	66	0	75	61	0
7	Bradley Marek	0		X			100.00	77	39	95	56	86	73	64	54	51	53	58	60	55	64	66	0	75	60	0
8	Lucas Edmonds (R)	0			X		100.00	60	36	95	59	69	70	77	57	55	56	59	58	56	63	65	0	75	60	0
9	Jacob Gaucher	0	X				100.00	71	39	90	58	80	75	70	57	60	55	56	59	54	63	65	0	75	60	0
10	Jake Gaudet	0	X				100.00	72	43	71	57	81	74	72	56	60	54	55	58	56	68	70	0	75	60	0
11	Greg Meireles	0			X		100.00	57	36	90	58	66	70	80	57	54	56	55	53	58	65	67	0	75	59	0
12	Matthew Seminoff (R)	0			X		100.00	61	37	94	57	70	71	72	56	52	55	53	54	56	61	63	0	75	58	0
13	Robert Hagg	0				X	100.00	84	40	76	62	82	81	76	61	30	66	60	67	52	71	72	0	75	65	0
14	Parker Wotherspoon (R)	0				X	100.00	69	54	74	65	76	85	78	63	30	66	58	70	50	67	69	0	75	64	0
15	Tristan Luneau (R)	0				X	100.00	67	37	85	66	76	86	61	64	30	65	63	60	57	61	62	0	75	63	0
16	Mac Hollowell (R)	0				X	100.00	63	39	74	64	63	80	76	62	30	67	56	57	49	66	68	0	75	62	0
17	Artem Guryev	0				X	100.00	72	56	51	54	91	67	65	55	30	52	53	58	45	61	63	0	75	58	0
18	Tyrel Bauer (R)	0				X	100.00	76	46	60	53	85	64	79	52	30	54	53	56	45	62	64	0	75	58	0
Scratches
1	Colin Theisen	0		X			100.00	63	37	93	61	72	80	71	59	63	60	58	57	61	67	69	0	75	61	0
2	Brandt Clarke (R)	0				X	100.00	68	40	74	67	80	83	74	66	30	68	60	62	53	63	64	0	75	64	0
3	Jacob Murray	0				X	100.00	74	40	87	53	83	60	62	52	30	51	50	55	45	62	64	0	75	57	0

	TEAM AVERAGE					100.00	71	44	79	60	78	76	73	59	48	59	58	60	55	65	66	0	75	61

#	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	TA	SP

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP

1	Henrik Tikkanen	100.00	74	73	69	98	73	72	74	73	72	74	73	64	71	0	75	65	0
2	Mitchell Gibson (R)	100.00	74	70	66	75	73	72	74	73	72	74	73	65	73	0	75	64	0
Scratches

	TEAM AVERAGE	100.00	74	72	68	87	73	72	74	73	72	74	73	65	72	0	75	65

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	TA	SP

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Geoff Ward	71	75	70	72	90	84	56	CAN	62	1	1,500,000$

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

1	Mac Hollowell	Admirals (NSH)	D	5	3	2	5	0	2	0	7	8	7	1	4	42.86%	7	110	22.00	1	1	2	3	5	0	0	0	0	16	0	0	0.00%	0	0	0	0	0	0.91	0	0	0	0	0	1	0	0
2	Tristan Luneau	Admirals (NSH)	D	5	0	5	5	-4	2	0	4	8	10	4	3	0.00%	10	123	24.67	0	2	2	1	2	0	0	0	0	12	0	0	0.00%	0	0	0	0	0	0.81	0	0	0	0	0	0	0	0
3	Jonah Gadjovich	Admirals (NSH)	LW	5	2	2	4	0	6	0	19	2	11	1	13	18.18%	1	103	20.74	1	0	1	1	5	0	0	0	0	9	0	0	55.56%	9	0	0	0	0	0.77	0	0	0	0	0	0	0	1
4	Chris Wagner	Admirals (NSH)	C/LW/RW	5	2	2	4	0	0	0	6	26	21	5	14	9.52%	2	123	24.79	1	0	1	3	5	0	0	0	0	22	0	0	52.50%	200	0	0	0	0	0.65	0	0	0	0	0	0	0	1
5	Jake Gaudet	Admirals (NSH)	C	5	1	3	4	2	2	0	9	9	10	4	3	10.00%	1	78	15.64	0	0	0	0	0	0	0	0	0	0	1	0	51.69%	89	0	0	0	0	1.02	0	0	0	0	0	0	1	0
6	Patrick Giles	Admirals (NSH)	RW	5	1	3	4	2	2	0	7	9	7	2	7	14.29%	2	88	17.66	0	1	1	0	5	0	0	0	0	4	0	0	50.00%	8	0	0	0	0	0.91	0	0	0	0	0	0	0	0
7	Tyrel Bauer	Admirals (NSH)	D	5	1	2	3	0	8	0	15	7	6	0	1	16.67%	10	88	17.66	0	1	1	2	4	0	0	0	0	14	0	0	0.00%	0	0	0	0	0	0.68	0	0	0	0	0	0	0	0
8	Colin Theisen	Admirals (NSH)	LW	3	2	1	3	2	0	0	2	5	5	0	4	40.00%	1	42	14.26	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	1.40	0	0	0	0	0	0	0	0
9	Brandt Clarke	Admirals (NSH)	D	2	1	1	2	1	0	0	4	3	3	0	2	33.33%	1	31	15.52	1	0	1	1	1	0	0	0	0	2	0	0	0.00%	0	0	0	0	0	1.29	0	0	0	0	0	0	0	0
10	Bradley Marek	Admirals (NSH)	LW	5	2	0	2	0	0	0	3	3	4	4	5	50.00%	0	97	19.49	0	0	0	0	0	0	0	0	0	0	0	0	37.50%	8	0	0	0	0	0.41	0	0	0	0	0	0	0	0
11	Joakim Kemell	Admirals (NSH)	RW	3	1	1	2	1	0	0	0	3	5	0	4	20.00%	0	29	9.75	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	1.37	0	0	0	0	0	0	0	0
12	Lucas Edmonds	Admirals (NSH)	RW	5	0	1	1	-2	0	0	0	3	4	3	3	0.00%	3	75	15.05	0	0	0	0	4	0	0	0	0	0	0	0	50.00%	10	0	0	0	0	0.27	0	0	0	0	0	0	0	0
13	Robert Hagg	Admirals (NSH)	D	5	0	1	1	-4	16	0	23	8	6	0	1	0.00%	10	125	25.14	0	1	1	1	4	0	0	0	0	12	0	0	0.00%	0	0	0	0	0	0.16	0	0	0	0	0	0	0	0
14	Reese Johnson	Admirals (NSH)	RW	5	0	1	1	-7	2	0	7	3	8	3	11	0.00%	0	96	19.34	0	0	0	0	4	0	0	0	0	9	0	0	50.00%	12	0	0	0	0	0.21	0	0	0	0	0	0	0	0
15	Parker Wotherspoon	Admirals (NSH)	D	3	0	1	1	-2	2	0	4	6	3	1	2	0.00%	4	53	17.86	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.37	0	0	0	0	0	0	0	0
16	Artem Guryev	Admirals (NSH)	D	5	0	0	0	1	2	0	3	0	1	0	0	0.00%	2	12	2.44	0	0	0	1	0	0	0	0	0	7	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
17	Jacob Murray	Admirals (NSH)	D	2	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.47	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
18	Joe Carroll	Admirals (NSH)	LW	5	0	0	0	-7	2	0	9	5	11	1	6	0.00%	2	108	21.67	0	0	0	1	4	0	0	0	0	21	0	0	50.00%	16	0	0	0	0	0.00	0	0	0	0	0	0	0	0
19	Matthew Seminoff	Admirals (NSH)	RW	5	0	0	0	0	0	0	0	0	0	1	1	0.00%	0	7	1.43	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	3	0	0	0	0	0.00	0	0	0	0	0	0	0	0
20	Greg Meireles	Admirals (NSH)	RW	5	0	0	0	-8	0	0	1	10	9	2	1	0.00%	1	86	17.37	0	0	0	0	0	0	0	0	0	0	0	0	43.20%	125	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				88	16	26	42	-25	46	0	123	118	131	32	85	12.21%	57	1483	16.85	4	6	10	14	50	0	0	0	0	135	1	0	49.38%	482	0	0	0	0	0.57	0	0	0	0	0	1	1	2

#	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

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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	Henrik Tikkanen	Admirals (NSH)	5	1	3	1	0.886	4.56	263	0	0	20	176	0	2	0	0.000	0	5	0	0	0	0
2	Mitchell Gibson	Admirals (NSH)	1	0	0	0	0.879	6.00	40	0	0	4	33	0	0	0	0.000	0	0	5	0	0	0
Team Total or Average			6	1	3	1	0.885	4.75	303	0	0	24	209	0	2	0	0.000	0	5	5	0	0	0

#	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

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link

Artem Guryev	D	21	2003-05-17	No	225 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link
Bradley Marek	LW	23	2000-11-13	No	212 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link
Brandt Clarke	D	21	2003-02-09	Yes	200 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Chris Wagner (1 Way Contract)	C/LW/RW	33	1991-05-27	No	192 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	1,154,000$	1,154,000$	329,714$	No	Link / NHL Link
Colin Theisen	LW	27	1997-04-24	No	187 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Greg Meireles	RW	25	1999-01-01	No	180 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	875,000$	0$	0$	No	Link / NHL Link
Henrik Tikkanen	G	24	2000-09-28	No	222 Lbs	6 ft8	No	No	No	3	RFA	Pro & Farm	985,000$	0$	0$	No	Link
Jacob Gaucher	C	23	2001-03-09	No	185 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link
Jacob Murray	D	22	2002-04-11	No	199 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	985,000$	0$	0$	No	Link
Jake Gaudet	C	28	1996-06-18	No	201 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	875,000$	0$	0$	No	Link / NHL Link
Joakim Kemell	RW	20	2004-04-27	Yes	182 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Joe Carroll	LW	23	2001-02-01	No	203 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link
Jonah Gadjovich	LW	25	1998-10-12	Yes	209 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Lucas Edmonds	RW	23	2001-01-27	Yes	185 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Mac Hollowell	D	26	1998-09-26	Yes	170 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Matthew Seminoff	RW	20	2003-12-27	Yes	188 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Mitchell Gibson	G	25	1999-06-25	Yes	188 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Parker Wotherspoon	D	27	1997-08-24	Yes	195 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Patrick Giles	RW	24	2000-01-03	Yes	203 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Reese Johnson	RW	26	1998-07-10	Yes	193 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	812,600$	0$	0$	No	Link / NHL Link
Robert Hagg (1 Way Contract)	D	29	1995-02-08	No	210 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	2,955,000$	2,955,000$	844,286$	No	Link / NHL Link
Tristan Luneau	D	20	2004-01-12	Yes	195 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Tyrel Bauer	D	22	2002-03-23	Yes	206 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	24.22	197 Lbs	6 ft1	2.13	1,032,243$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonah Gadjovich	Chris Wagner	Bradley Marek	40	1	2	2
2	Joe Carroll	Greg Meireles	Reese Johnson	30	1	2	2
3	Joakim Kemell	Jake Gaudet	Patrick Giles	20	1	2	2
4	Bradley Marek	Chris Wagner	Lucas Edmonds	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Hagg	Tristan Luneau	40	1	2	2
2	Parker Wotherspoon	Mac Hollowell	30	1	2	2
3	Tyrel Bauer	Lucas Edmonds	20	1	2	2
4	Robert Hagg	Tristan Luneau	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonah Gadjovich	Chris Wagner	Patrick Giles	60	1	2	2
2	Joe Carroll	Lucas Edmonds	Reese Johnson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Hagg	Tyrel Bauer	60	1	2	2
2	Tristan Luneau	Mac Hollowell	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Chris Wagner	Joe Carroll	60	1	2	2
2	Reese Johnson	Jonah Gadjovich	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Hagg	Tyrel Bauer	60	1	2	2
2	Tristan Luneau	Mac Hollowell	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Chris Wagner	60	1	2	2	Robert Hagg	Tyrel Bauer	60	1	2	2
2	Reese Johnson	40	1	2	2	Parker Wotherspoon	Mac Hollowell	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Chris Wagner	Greg Meireles	60	1	2	2
2	Reese Johnson	Jonah Gadjovich	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Hagg	Tristan Luneau	60	1	2	2
2	Tyrel Bauer	Mac Hollowell	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jonah Gadjovich	Chris Wagner	Reese Johnson	Robert Hagg	Parker Wotherspoon

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jonah Gadjovich	Chris Wagner	Reese Johnson	Robert Hagg	Parker Wotherspoon

Extra Forwards
Normal	PowerPlay	Penalty Kill
Greg Meireles, Matthew Seminoff, Patrick Giles	Greg Meireles, Matthew Seminoff	Patrick Giles

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Tyrel Bauer, Robert Hagg, Mac Hollowell	Tyrel Bauer	Robert Hagg, Mac Hollowell

Penalty Shots
Chris Wagner, Patrick Giles, Reese Johnson, Jonah Gadjovich, Joe Carroll

Goalie
#1 : Henrik Tikkanen, #2 : Mitchell Gibson

Custom OT Lines Forwards
Chris Wagner, Bradley Marek, Reese Johnson, Jonah Gadjovich, Joe Carroll, Patrick Giles, Patrick Giles, Matthew Seminoff, Greg Meireles, Lucas Edmonds, Jake Gaudet

Custom OT Lines Defensemen
Robert Hagg, Tristan Luneau, Parker Wotherspoon, Mac Hollowell, Tyrel Bauer

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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
5	2	OTL1	16	26	42	131	209	57	46	123	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	16	24

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	6	10

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	10	14

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	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
9	4	44.44%	22	7	68.18%	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
38	40	51	2	7	5	4	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
89	167	53.29%	104	224	46.43%	45	91	49.45%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
107	72	133	38	63	30

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link

2 - 2025-04-25	5	Admirals	2	Stars	3	L		BoxScore
4 - 2025-04-27	13	Admirals	4	Stars	6	L		BoxScore
6 - 2025-04-29	21	Stars	2	Admirals	5	W		BoxScore
8 - 2025-05-01	29	Stars	8	Admirals	1	L		BoxScore
10 - 2025-05-03	37	Admirals	4	Stars	5	L	X	BoxScore

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	30	20
Attendance	4,000	1,735
Attendance PCT	100.00%	86.75%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
8	2868 - 95.58%	96,688$	193,375$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,963,260$	1,963,260$	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$	6	0$	0$

	Overall										Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2024	82	33	33	0	6	6	1	3	283	300	-17	41	20	15	0	0	4	1	1	143	145	-2	41	13	18	0	6	2	0	2	140	155	-15	89	283	512	795	4	0	103	90	83	9	2667	851	956	833	39	2963	844	723	2130	241	58	24.07%	309	69	77.67%	2	1399	2894	48.34%	1473	3084	47.76%	624	1351	46.19%	1915	1299	1980	606	1066	528
Total Regular Season	82	33	33	0	6	6	1	3	283	300	-17	41	20	15	0	0	4	1	1	143	145	-2	41	13	18	0	6	2	0	2	140	155	-15	89	283	512	795	4	0	103	90	83	9	2667	851	956	833	39	2963	844	723	2130	241	58	24.07%	309	69	77.67%	2	1399	2894	48.34%	1473	3084	47.76%	624	1351	46.19%	1915	1299	1980	606	1066	528
2024	5	1	4	0	0	0	0	0	16	24	-8	2	1	1	0	0	0	0	0	6	10	-4	3	0	3	0	0	0	0	0	10	14	-4	2	16	26	42	0	0	7	5	4	0	131	38	40	51	2	209	57	46	123	9	4	44.44%	22	7	68.18%	0	89	167	53.29%	104	224	46.43%	45	91	49.45%	107	72	133	38	63	30
Total Playoff	5	1	4	0	0	0	0	0	16	24	-8	2	1	1	0	0	0	0	0	6	10	-4	3	0	3	0	0	0	0	0	10	14	-4	2	16	26	42	0	0	7	5	4	0	131	38	40	51	2	209	57	46	123	9	4	44.44%	22	7	68.18%	0	89	167	53.29%	104	224	46.43%	45	91	49.45%	107	72	133	38	63	30