Lightning


		Zach Brideau
		Atlantic Division
		Eastern Conference




		5,000

		5,000

		20
		20
		40 / 55
		39

Priority		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

#		#	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	Jarid Lukosevicius	0			X		100.00	45	56	83	70	75	61	71	75	36	56	66	40	71	25	40	0	50	68	0	29	1	750,000$
2	Jaxsen Wiebe	0			X		100.00	47	42	81	71	76	58	45	76	36	56	67	40	71	25	40	0	50	68	0	22	1	750,000$
3	Kevin Wall	0			X		100.00	45	55	84	71	75	59	68	76	36	56	67	40	71	25	40	0	50	68	0	24	1	750,000$
4	Kale Kessy	0		X			100.00	55	45	68	70	75	58	45	75	36	55	66	40	71	25	40	0	50	68	0	31	1	750,000$
5	Louis Boudon	0	X				100.00	45	35	83	70	76	58	45	75	65	55	67	40	71	25	40	0	50	68	0	25	1	750,000$
6	Lucas Ciona	0		X			100.00	48	58	78	70	75	65	75	75	36	55	66	40	71	25	40	0	50	68	0	21	1	750,000$
7	Mark Duarte	0			X		100.00	46	38	82	70	75	58	45	75	36	55	66	40	71	25	40	0	50	68	0	21	1	750,000$
8	Mark Rassell	0		X			100.00	45	41	84	71	76	58	45	76	36	56	67	40	72	25	40	0	50	68	0	27	1	750,000$
9	Mark Senden	0	X				100.00	46	36	82	70	75	58	45	75	65	55	66	40	71	25	40	0	50	68	0	26	1	750,000$
10	Matt Filipe	0		X			100.00	46	56	82	71	75	60	69	76	36	56	67	40	71	25	40	0	50	68	0	26	1	750,000$
11	Logan Nijhoff	0		X			100.00	49	38	78	71	75	58	45	76	36	55	67	40	71	25	40	0	50	68	0	23	3	750,000$
12	Riley Sawchuk	0	X				100.00	45	42	84	70	75	58	45	75	65	55	66	40	71	25	40	0	50	67	0	25	3	750,000$
13	Logan Mailloux (R)	0				X	100.00	48	66	79	73	76	85	98	77	36	61	67	47	72	25	40	0	50	75	0	21	3	875,000$
14	Marshall Rifai	0				X	100.00	48	65	79	71	75	81	94	76	36	58	66	47	71	25	40	0	50	74	0	26	2	750,000$
15	Gavin Bayreuther	0				X	100.00	47	39	80	72	77	58	45	76	36	60	66	40	71	25	40	0	50	71	0	30	2	816,500$
16	Andy Welinski	0				X	100.00	45	57	84	71	75	63	73	76	36	57	66	40	71	25	40	0	50	70	0	31	1	750,000$
17	Vincent Sevigny	0				X	100.00	45	57	83	71	75	62	72	76	36	57	66	40	71	25	40	0	50	70	0	23	1	750,000$
18	Austin Osmanski	0				X	100.00	47	45	81	70	75	58	45	75	36	56	66	40	71	25	40	0	50	69	0	26	1	750,000$


							100.00	47	48	81	71	75	62	59	76	41	56	66	41	71	25	40	0	50	69

Priority		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

#		#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Dante Giannuzzi	0	100.00	67	55	53	55	53	53	55	50	59	66	54	25	55	0	50	64	0	21	1	750,000$
2	Evan Cormier (R)	0	100.00	58	55	53	57	58	53	58	50	55	71	55	25	55	0	50	64	0	26	1	775,000$


			100.00	63	55	53	56	56	53	57	50	57	69	55	25	55	0	50	64

	PH	DF	OF	PD	EX	LD	PO	CNT

Priority		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

#		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

Priority		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

#		GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Priority		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 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
Andy Welinski	Crunch (TBL)	D	31	1993-04-27	USA	No	212 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-17	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Austin Osmanski	Crunch (TBL)	D	26	1998-04-30	USA	No	215 Lbs	6 ft4	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dante Giannuzzi	Crunch (TBL)	G	21	2002-09-03	CAN	No	185 Lbs	6 ft1	No	No	Free Agent	No	No	1	2024-12-16	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Evan Cormier	Crunch (TBL)	G	26	1997-11-06	CAN	Yes	201 Lbs	6 ft3	No	No	Prospect	No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	276,786$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Gavin Bayreuther	Crunch (TBL)	D	30	1994-05-12	USA	No	196 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	816,500$	291,607$	0$	0$	No	816,500$	Unrestricted		-	-	-	-	816,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jarid Lukosevicius	Crunch (TBL)	RW	29	1995-02-05	CAN	No	194 Lbs	5 ft10	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jaxsen Wiebe	Crunch (TBL)	RW	22	2002-05-16	CAN	No	209 Lbs	6 ft1	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	852,500$	852,500$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kale Kessy	Crunch (TBL)	LW	31	1992-12-04	CAN	No	221 Lbs	6 ft3	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kevin Wall	Crunch (TBL)	RW	24	2000-02-01	USA	No	207 Lbs	6 ft0	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Logan Mailloux	Crunch (TBL)	D	21	2003-04-15	CAN	Yes	220 Lbs	6 ft3	No	No	Prospect	No	No	3	2024-07-02	False	False	Pro & Farm	875,000$	312,500$	0$	0$	No	875,000$	875,000$	Restricted	-	-	-	-	875,000$	875,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Logan Nijhoff	Crunch (TBL)	LW	23	2001-06-23	CAN	No	187 Lbs	6 ft0	No	No	Free Agent	No	No	3	2024-09-25	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	750,000$	750,000$	Restricted	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Louis Boudon	Crunch (TBL)	C	25	1998-10-04	FRA	No	181 Lbs	5 ft11	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Lucas Ciona	Crunch (TBL)	LW	21	2003-01-08	CAN	No	220 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	830,000$	830,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mark Duarte	Crunch (TBL)	RW	21	2002-09-27	CAN	No	190 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mark Rassell	Crunch (TBL)	LW	27	1997-02-28	CAN	No	190 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mark Senden	Crunch (TBL)	C	26	1998-01-22	USA	No	201 Lbs	5 ft10	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Marshall Rifai	Crunch (TBL)	D	26	1998-03-16	CAN	No	205 Lbs	6 ft2	No	No	Free Agent	No	No	2	2024-09-25	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	750,000$	Unrestricted		-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Matt Filipe	Crunch (TBL)	LW	26	1997-12-31	USA	No	196 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Riley Sawchuk	Crunch (TBL)	C	25	1999-03-18	CAN	No	181 Lbs	5 ft11	No	No	Free Agent	No	No	3	2024-09-25	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	750,000$	750,000$	Restricted	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Vincent Sevigny	Crunch (TBL)	D	23	2001-04-14	CAN	No	195 Lbs	6 ft3	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	267,857$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link


20	25.20	200 Lbs	6 ft1	1.40	760,825$



1	Mark Rassell	Mark Senden	Mark Duarte	30	1	2	2
2	Matt Filipe	Louis Boudon	Kevin Wall	30	1	2	2
3	Logan Nijhoff	Riley Sawchuk	Jaxsen Wiebe	20	1	2	2
4	Kale Kessy	Mark Senden	Jarid Lukosevicius	20	1	2	2



1	Andy Welinski	Logan Mailloux	30	1	2	2
2	Marshall Rifai	Gavin Bayreuther	30	1	2	2
3	Vincent Sevigny	Austin Osmanski	20	1	2	2
4	Marshall Rifai	Logan Mailloux	20	1	2	2



1	Mark Rassell	Mark Senden	Mark Duarte	50	1	2	2
2	Matt Filipe	Louis Boudon	Kevin Wall	50	1	2	2



1	Vincent Sevigny	Logan Mailloux	50	1	2	2
2	Marshall Rifai	Gavin Bayreuther	50	1	2	2



1	Mark Senden	Mark Rassell	50	1	2	2
2	Mark Duarte	Matt Filipe	50	1	2	2



1	Austin Osmanski	Logan Mailloux	50	1	2	2
2	Marshall Rifai	Gavin Bayreuther	50	1	2	2



1	Mark Senden	50	1	2	2	Austin Osmanski	Logan Mailloux	50	1	2	2
2	Mark Rassell	50	1	2	2	Marshall Rifai	Gavin Bayreuther	50	1	2	2



1	Mark Senden	Mark Rassell	50	1	2	2
2	Mark Duarte	Matt Filipe	50	1	2	2



1	Vincent Sevigny	Logan Mailloux	50	1	2	2
2	Marshall Rifai	Gavin Bayreuther	50	1	2	2



Mark Rassell	Mark Senden	Mark Duarte	Marshall Rifai	Logan Mailloux



Mark Rassell	Mark Senden	Mark Duarte	Marshall Rifai	Logan Mailloux



Lucas Ciona, Logan Nijhoff, Kale Kessy	Lucas Ciona, Logan Nijhoff	Kale Kessy



Vincent Sevigny, Austin Osmanski, Marshall Rifai	Vincent Sevigny	Austin Osmanski, Marshall Rifai


Mark Senden, Mark Rassell, Mark Duarte, Matt Filipe, Louis Boudon


#1 : Evan Cormier, #2 : Dante Giannuzzi


Mark Senden, Mark Rassell, Mark Duarte, Matt Filipe, Louis Boudon, Logan Nijhoff, Logan Nijhoff, Kale Kessy, Kevin Wall, Jaxsen Wiebe, Jarid Lukosevicius


Andy Welinski, Logan Mailloux, Marshall Rifai, Gavin Bayreuther, Vincent Sevigny

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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

	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0%	0	0	0%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0%	0	0	0%	0	0	0%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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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	Score	Home	Score	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	1500
Ticket Price	50	25
Attendance	0%	0%
Attendance PCT	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	0 - 0%	0$	0$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	15,216,500$	15,216,500$	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$	10	0$	0$

Crunch Players Stat Leaders (Regular Season)

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#	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

Crunch Goalies Stat Leaders (Regular Season)

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#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Crunch Career Team Stats

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	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

Crunch Players Stat Leaders (Play-Off)

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#	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

Crunch Goalies Stat Leaders (Play-Off)

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#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Crunch
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% Zach Brideau \| 50 \| 69