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
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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	Andrew Agozzino	0		X			100.00	73	38	74	67	68	89	86	65	71	68	66	64	67	73	75	0	75	66	0
2	Anthony Richard	0	X				100.00	69	37	80	70	68	84	86	69	71	66	67	62	65	69	70	0	75	66	0
3	Alexander Holtz (R)	0		X	X		100.00	64	37	93	70	73	82	81	67	59	61	68	64	73	62	65	0	75	65	0
4	Justin Dowling	0	X	X	X		100.00	62	36	90	66	68	85	81	65	71	63	62	64	66	74	76	0	75	65	0
5	Shane Wright (R)	0	X				100.00	62	37	92	68	73	86	75	66	70	62	67	65	68	62	66	0	75	65	0
6	Charles Hudon	0		X	X		100.00	59	39	75	67	69	94	83	65	72	66	64	63	68	70	72	0	75	64	0
7	Zach Aston-Reese	0	X	X	X		100.00	77	41	82	63	78	81	86	60	66	59	62	69	58	72	73	0	75	64	0
8	Kyle Clifford	0		X			100.00	83	86	54	61	84	79	78	59	60	63	57	58	56	80	75	0	75	63	0
9	Max McCormick	0		X	X		100.00	58	39	72	64	70	84	86	63	65	62	64	60	63	72	76	0	75	63	0
10	Mitchell Stephens (R)	0	X				100.00	65	38	84	63	75	82	86	61	70	62	60	66	63	67	69	0	75	63	0
11	Isak Rosen (R)	0		X			100.00	58	36	94	64	69	81	86	62	53	60	58	59	61	63	65	0	75	62	0
12	Sean Farrell (R)	0	X				100.00	55	35	94	64	66	83	69	63	66	61	62	60	64	63	65	0	75	62	0
13	Greg McKegg	0	X	X	X		100.00	64	43	72	60	73	72	84	58	67	60	55	63	56	72	74	0	75	61	0
14	Brett Berard (R)	0		X			100.00	62	37	74	61	60	86	73	59	62	57	60	56	61	64	65	0	75	60	0
15	Steven Santini	0				X	100.00	74	38	86	63	82	79	84	59	30	60	55	65	47	69	71	0	75	63	0
16	Dakota Mermis	0				X	100.00	65	45	71	63	73	84	82	62	30	64	60	67	50	70	72	0	75	63	0
17	Paul LaDue	38				X	100.00	74	41	77	56	83	74	77	54	30	55	50	57	45	72	74	0	75	60	0
18	Topi Niemela (R)	0				X	100.00	55	37	81	64	66	70	73	63	30	62	56	57	48	62	64	0	75	60	0
Scratches
1	Francesco Pinelli (R)	0	X				100.00	62	37	89	58	71	73	72	56	61	53	57	52	59	61	63	0	75	58	0
2	Ryder Korczak (R)	0	X				100.00	58	36	88	57	67	80	73	56	60	55	54	53	56	62	64	0	75	58	0
3	Connor Carrick	0				X	100.00	85	39	73	67	70	87	85	62	30	66	55	58	50	71	72	0	75	64	0
4	Donovan Sebrango (R)	0				X	100.00	66	44	69	54	75	62	73	53	30	55	52	56	45	62	64	0	75	57	0

	TEAM AVERAGE					100.00	66	41	80	63	72	81	80	61	56	61	60	61	59	68	70	0	75	62

#	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	Alex Stalock	100.00	78	79	72	69	77	76	78	77	76	78	77	79	91	0	75	67	0
2	Hugo Alnefelt (R)	100.00	76	82	78	77	75	74	76	75	74	76	75	63	72	0	75	65	0
Scratches
1	Jack LaFontaine (R)	100.00	70	71	67	81	69	68	70	69	68	70	69	67	75	0	75	63	0

	TEAM AVERAGE	100.00	75	77	72	76	74	73	75	74	73	75	74	70	79	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
Jay Leach	70	73	71	72	67	63	81	USA	45	3	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	Zach Aston-Reese	Wolf Pack (NYR)	C/LW/RW	5	6	4	10	8	4	0	21	4	20	4	12	30.00%	1	91	18.20	0	0	0	2	14	0	0	0	0	0	0	0	41.67%	12	0	0	0	0	2.20	0	0	0	0	0	2	1	0
2	Justin Dowling	Wolf Pack (NYR)	C/LW/RW	5	2	6	8	8	0	0	3	15	19	6	18	10.53%	1	101	20.26	0	0	0	4	14	0	0	0	2	9	0	0	52.90%	138	0	0	0	0	1.58	0	0	0	0	0	1	1	0
3	Anthony Richard	Wolf Pack (NYR)	C	5	2	5	7	4	2	0	10	11	16	9	14	12.50%	0	115	23.06	0	1	1	5	15	1	0	1	1	18	1	0	51.35%	148	0	0	0	0	1.21	0	0	0	0	0	0	0	1
4	Charles Hudon	Wolf Pack (NYR)	LW/RW	5	1	5	6	8	2	0	3	11	12	5	16	8.33%	2	91	18.38	0	0	0	4	15	0	0	0	0	0	1	0	50.00%	2	0	0	0	0	1.31	0	0	0	0	0	0	1	0
5	Andrew Agozzino	Wolf Pack (NYR)	LW	5	2	4	6	4	2	0	18	13	20	12	17	10.00%	1	131	26.30	0	1	1	3	15	0	0	0	0	18	0	1	53.85%	52	0	0	0	0	0.91	0	0	0	0	0	0	1	1
6	Topi Niemela	Wolf Pack (NYR)	D	5	3	2	5	3	0	0	3	3	9	1	3	33.33%	6	99	19.99	1	0	1	5	15	0	0	0	0	14	0	0	0.00%	0	0	0	0	0	1.00	0	0	0	0	0	1	0	0
7	Alexander Holtz	Wolf Pack (NYR)	LW/RW	5	1	3	4	4	0	0	5	11	30	7	30	3.33%	0	110	22.05	1	1	2	6	15	0	0	0	0	11	0	0	64.29%	14	0	0	0	0	0.73	0	0	0	0	0	0	0	0
8	Steven Santini	Wolf Pack (NYR)	D	5	1	3	4	1	4	0	13	2	7	7	6	14.29%	5	109	21.93	0	0	0	4	15	0	0	0	0	13	0	0	0.00%	0	0	0	0	0	0.73	0	0	0	0	0	0	0	1
9	Dakota Mermis	Wolf Pack (NYR)	D	5	1	3	4	6	2	0	6	6	8	0	5	12.50%	6	132	26.41	0	0	0	1	14	0	1	1	0	16	1	0	0.00%	0	0	0	0	0	0.61	0	0	0	0	0	0	0	0
10	Connor Carrick	Wolf Pack (NYR)	D	3	2	1	3	3	2	0	4	4	4	0	2	50.00%	2	67	22.44	0	0	0	2	6	0	1	1	0	11	1	0	0.00%	0	0	0	0	0	0.89	0	0	0	0	0	0	0	0
11	Kyle Clifford	Wolf Pack (NYR)	LW	5	0	2	2	-1	9	5	19	5	3	1	5	0.00%	3	72	14.55	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.55	0	0	0	1	0	0	0	0
12	Max McCormick	Wolf Pack (NYR)	LW/RW	5	1	1	2	-5	6	0	3	4	16	4	5	6.25%	2	62	12.53	0	0	0	0	0	0	0	0	0	0	0	0	40.00%	5	0	0	0	0	0.64	0	0	0	0	0	0	0	0
13	Paul LaDue	Wolf Pack (NYR)	D	5	0	1	1	-1	0	0	7	3	3	0	1	0.00%	6	87	17.41	0	0	0	0	6	0	0	0	0	6	0	0	0.00%	0	0	0	0	0	0.23	0	0	0	0	0	0	0	0
14	Greg McKegg	Wolf Pack (NYR)	C/LW/RW	5	1	0	1	-5	0	0	10	3	5	4	2	20.00%	0	63	12.75	0	0	0	0	0	0	0	0	0	1	0	0	50.00%	6	0	0	0	0	0.31	0	0	0	0	0	0	0	0
15	Shane Wright	Wolf Pack (NYR)	C	5	0	1	1	-5	0	0	1	19	15	3	7	0.00%	0	62	12.54	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	86	0	0	0	0	0.32	0	0	0	0	0	0	0	0
16	Brett Berard	Wolf Pack (NYR)	LW	5	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	5	1.15	0	0	0	0	0	0	0	0	0	4	0	0	33.33%	3	0	0	0	0	0.00	0	0	0	0	0	0	0	0
17	Isak Rosen	Wolf Pack (NYR)	LW	5	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.39	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
18	Donovan Sebrango	Wolf Pack (NYR)	D	2	0	0	0	2	6	0	1	0	0	0	0	0.00%	0	36	18.08	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
19	Sean Farrell	Wolf Pack (NYR)	C	5	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	7	1.41	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	2	0	0	0	0	0.00	0	0	0	0	0	0	0	0
20	Mitchell Stephens	Wolf Pack (NYR)	C	5	0	0	0	0	0	0	0	3	0	0	2	0.00%	0	15	3.18	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	16	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				95	23	41	64	34	39	5	127	117	187	63	145	12.30%	35	1465	15.43	2	3	5	36	151	1	2	3	3	127	4	1	51.45%	484	0	0	0	0	0.87	0	0	0	1	0	4	4	3

#	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	Alex Stalock	Wolf Pack (NYR)	5	4	1	0	0.907	3.23	260	0	0	14	151	0	0	0	0.000	0	5	0	0	0	0
2	Hugo Alnefelt	Wolf Pack (NYR)	1	0	0	0	1.000	0.00	38	0	0	0	27	0	0	0	0.000	0	0	5	0	0	0
Team Total or Average			6	4	1	0	0.921	2.81	299	0	0	14	178	0	0	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

Alex Stalock	G	37	1987-07-28	No	170 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Alexander Holtz (1 Way Contract)	LW/RW	22	2002-01-23	Yes	195 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	1,401,000$	1,401,000$	467,000$	No	Link / NHL Link
Andrew Agozzino	LW	33	1991-01-03	No	187 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	785,000$	0$	0$	No	Link / NHL Link
Anthony Richard	C	27	1996-12-20	No	185 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	974,800$	0$	0$	No	Link / NHL Link
Brett Berard	LW	22	2002-09-09	Yes	155 Lbs	5 ft9	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Charles Hudon	LW/RW	30	1994-06-23	No	190 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Connor Carrick	D	30	1994-04-13	No	198 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Dakota Mermis	D	30	1994-01-05	No	195 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Donovan Sebrango	D	22	2002-01-12	Yes	189 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Francesco Pinelli	C	21	2003-04-11	Yes	185 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Greg McKegg	C/LW/RW	32	1992-06-17	No	195 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Hugo Alnefelt	G	23	2001-06-04	Yes	177 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Isak Rosen	LW	21	2003-03-15	Yes	173 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jack LaFontaine	G	26	1998-01-06	Yes	204 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Justin Dowling	C/LW/RW	34	1990-10-01	No	180 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	785,000$	0$	0$	No	Link / NHL Link
Kyle Clifford	LW	33	1991-01-13	No	217 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Max McCormick	LW/RW	32	1992-05-01	No	188 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Mitchell Stephens	C	27	1997-02-05	Yes	203 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Paul LaDue	D	32	1992-09-06	No	200 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Ryder Korczak	C	22	2002-09-23	Yes	171 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Sean Farrell	C	22	2001-11-02	Yes	175 Lbs	5 ft9	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Shane Wright	C	20	2004-01-05	Yes	192 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Steven Santini	D	29	1995-03-07	No	209 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Topi Niemela	D	22	2002-03-25	Yes	156 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Zach Aston-Reese	C/LW/RW	30	1994-08-10	No	205 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	999,999$	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
25	27.16	188 Lbs	6 ft0	1.92	914,832$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Andrew Agozzino	Anthony Richard	Alexander Holtz	40	1	2	2
2	Zach Aston-Reese	Justin Dowling	Charles Hudon	30	1	2	2
3	Max McCormick	Shane Wright	Greg McKegg	20	1	2	2
4	Kyle Clifford	Mitchell Stephens	Andrew Agozzino	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Dakota Mermis	40	1	2	2
2	Steven Santini	Topi Niemela	30	1	2	2
3	Paul LaDue	Kyle Clifford	20	1	2	2
4		Dakota Mermis	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Andrew Agozzino	Anthony Richard	Alexander Holtz	60	1	2	2
2	Zach Aston-Reese	Justin Dowling	Charles Hudon	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Dakota Mermis	60	1	2	2
2	Steven Santini	Topi Niemela	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Andrew Agozzino	Anthony Richard	60	1	2	2
2	Alexander Holtz	Justin Dowling	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Dakota Mermis	60	1	2	2
2	Steven Santini	Topi Niemela	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Andrew Agozzino	60	1	2	2		Dakota Mermis	60	1	2	2
2	Anthony Richard	40	1	2	2	Steven Santini	Topi Niemela	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Andrew Agozzino	Anthony Richard	60	1	2	2
2	Alexander Holtz	Justin Dowling	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Dakota Mermis	60	1	2	2
2	Steven Santini	Topi Niemela	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Andrew Agozzino	Anthony Richard	Alexander Holtz		Dakota Mermis

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Andrew Agozzino	Anthony Richard	Alexander Holtz		Dakota Mermis

Extra Forwards
Normal	PowerPlay	Penalty Kill
Sean Farrell, Isak Rosen, Brett Berard	Sean Farrell, Isak Rosen	Brett Berard

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Paul LaDue, Steven Santini, Topi Niemela	Paul LaDue	Steven Santini, Topi Niemela

Penalty Shots
Andrew Agozzino, Anthony Richard, Alexander Holtz, Justin Dowling, Shane Wright

Goalie
#1 : Alex Stalock, #2 : Hugo Alnefelt

Custom OT Lines Forwards
Andrew Agozzino, Anthony Richard, Alexander Holtz, Justin Dowling, Shane Wright, Zach Aston-Reese, Zach Aston-Reese, Charles Hudon, Max McCormick, Kyle Clifford, Mitchell Stephens

Custom OT Lines Defensemen
, Dakota Mermis, Steven Santini, Topi Niemela, Paul LaDue

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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	8	W4	23	41	64	187	178	35	39	127	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	23	14

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	14	8

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	9	6

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
17	2	11.76%	16	0	100.00%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
59	62	66	0	7	5	11	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
99	202	49.01%	106	194	54.64%	44	88	50.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
120	81	114	37	65	34

Last Played Games Show or Hide Column

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Day	Game	Visitor Team	Score	Home Team	Score	ST	Link

1 - 2025-04-24	2	Wolves	4	Wolf Pack	3	L	BoxScore
3 - 2025-04-26	10	Wolves	3	Wolf Pack	5	W	BoxScore
5 - 2025-04-28	18	Wolf Pack	5	Wolves	3	W	BoxScore
7 - 2025-04-30	26	Wolf Pack	4	Wolves	3	W	BoxScore
9 - 2025-05-02	34	Wolves	1	Wolf Pack	6	W	BoxScore
15 - 2025-05-08	58	Bruins	-	Wolf Pack	-
16 - 2025-05-09	62	Bruins	-	Wolf Pack	-
17 - 2025-05-10	66	Wolf Pack	-	Bruins	-
18 - 2025-05-11	70	Wolf Pack	-	Bruins	-
19 - 2025-05-12	74	Bruins	-	Wolf Pack	-
20 - 2025-05-13	78	Wolf Pack	-	Bruins	-
21 - 2025-05-14	82	Bruins	-	Wolf Pack	-

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	25	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	Arena Capacity	Team Popularity
7	3000 - 100.00%	81,250$	243,750$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,146,980$	2,146,980$	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$	7	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	38	27	0	8	9	0	0	294	260	34	41	18	15	0	5	3	0	0	148	140	8	41	20	12	0	3	6	0	0	146	120	26	101	294	527	821	0	2	113	92	81	8	3001	976	985	1006	34	2795	806	640	2052	279	59	21.15%	278	68	75.54%	4	1564	3091	50.60%	1538	3004	51.20%	696	1349	51.59%	1956	1337	1931	615	1072	530
Total Regular Season	82	38	27	0	8	9	0	0	294	260	34	41	18	15	0	5	3	0	0	148	140	8	41	20	12	0	3	6	0	0	146	120	26	101	294	527	821	0	2	113	92	81	8	3001	976	985	1006	34	2795	806	640	2052	279	59	21.15%	278	68	75.54%	4	1564	3091	50.60%	1538	3004	51.20%	696	1349	51.59%	1956	1337	1931	615	1072	530
2024	5	4	1	0	0	0	0	0	23	14	9	3	2	1	0	0	0	0	0	14	8	6	2	2	0	0	0	0	0	0	9	6	3	8	23	41	64	0	0	7	5	11	0	187	59	62	66	0	178	35	39	127	17	2	11.76%	16	0	100.00%	1	99	202	49.01%	106	194	54.64%	44	88	50.00%	120	81	114	37	65	34
Total Playoff	5	4	1	0	0	0	0	0	23	14	9	3	2	1	0	0	0	0	0	14	8	6	2	2	0	0	0	0	0	0	9	6	3	8	23	41	64	0	0	7	5	11	0	187	59	62	66	0	178	35	39	127	17	2	11.76%	16	0	100.00%	1	99	202	49.01%	106	194	54.64%	44	88	50.00%	120	81	114	37	65	34