Flames


		Marc Gaudreault
		Pacific Division
		Western Conference




		5,000

		5,000

		21
		14
		35 / 55
		50

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	TA	SP
1	Aliaksei Protas	0	X	X	X		100.00	55	50	99	70	98	68	92	79	69	85	79	70	45	65	68	0	50	86		0	23	0	0$
2	Kevin Rooney	0	X				100.00	86	50	99	70	98	44	85	60	77	75	65	80	45	74	75	0	50	78	N	0	31	1	1,261,000$
3	Danil Gushchin	0		X			100.00	52	48	99	95	93	55	67	58	68	71	62	75	43	63	65	0	50	74		0	22	0	0$
4	Sean Farrell	0	X				100.00	55	50	75	70	80	79	81	70	69	68	62	64	45	64	66	0	50	74		0	22	2	897,500$
5	Benoit-Olivier Groulx	0	X	X	X		100.00	67	63	73	73	88	57	68	73	73	66	64	63	44	65	67	0	50	74		0	24	1	750,000$
6	Brennan Othmann	0		X			100.00	85	50	99	68	95	42	68	59	58	73	63	67	44	62	64	0	50	73		0	21	2	863,334$
7	Cole Schwindt	0			X		100.00	78	48	99	67	93	35	67	57	77	71	62	67	43	65	66	0	50	72		0	23	0	0$
8	William Lockwood	0			X		100.00	55	50	75	66	85	61	70	63	55	68	63	65	45	67	69	0	50	72		0	26	0	0$
9	Adam Sykora	0		X			100.00	55	50	75	60	80	83	85	60	60	68	60	50	45	61	63	0	50	68		0	19	2	838,333$
10	Tobias Bjornfot	33				X	100.00	66	48	99	66	92	47	67	57	30	71	61	66	43	64	66	0	50	71		0	23	2	750,000$
11	Riley Stillman	0				X	100.00	72	67	71	57	76	55	67	57	30	65	57	48	43	67	69	0	50	65		0	26	0	0$
12	Matteo Pietroniro	0				X	100.00	70	65	71	57	76	55	67	57	30	65	57	48	43	67	69	0	50	65		0	25	0	0$

1	Matthew Strome	0			X		100.00	60	57	75	60	80	69	71	60	54	68	60	57	45	66	68	0	50	69		0	25	0	0$
2	Jan Mysak	0	X				100.00	55	50	75	65	80	80	82	60	65	68	63	50	45	63	65	0	50	69		0	22	0	0$
3	Shawn Element	0	X	X	X		100.00	69	65	75	60	80	75	77	60	55	68	60	50	45	65	67	0	50	69		0	24	0	0$
4	Adam Engstrom (R)	0				X	100.00	59	55	75	60	80	78	79	60	30	68	60	63	45	62	64	0	50	70		0	20	0	0$
5	Filip Kral (R)	0				X	100.00	55	50	75	61	80	72	73	67	30	68	60	50	45	66	68	0	50	69		0	24	0	0$
6	Elias Salomonsson (R)	0				X	100.00	55	50	75	62	80	62	70	68	30	68	60	50	45	61	63	0	50	69		0	19	0	0$

							100.00	64	54	82	66	85	62	74	63	53	70	62	60	44	65	67	0	50	72

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	Jeremy Brodeur	0	100.00	58	58	53	65	63	68	69	62	62	58	73	69	83	0	50	63	0	27	0	0$
2	Jordan Papirny	0	100.00	53	53	53	53	62	57	54	57	49	53	45	69	83	0	50	55	0	28	0	0$

1	Dylan Ferguson (R)	0	100.00	61	61	53	62	72	67	66	68	61	61	53	67	77	0	50	65	0	25	0	0$

			100.00	57	57	53	60	66	64	63	62	57	57	57	68	81	0	50	61

	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 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Adam Engstrom	Wranglers (CGY)	D	20	2003-11-17	SWE	Yes	198 Lbs	6 ft2	No	No	Prospect	No	No	0	2025-07-15	False	False	Pro & Farm			0$	0$	No			-	-	-	-	896,667$	896,667$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Adam Sykora	Wranglers (CGY)	LW	19	2004-09-07	SVK	No	179 Lbs	5 ft10	No	No	Prospect	No	No	2	2024-07-02	False	False	Pro & Farm	838,333$	838,333$	0$	0$	No	838,333$	Restricted	-	-	-	-	838,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Aliaksei Protas	Wranglers (CGY)	C/LW/RW	23	2001-01-06	BLR	No	247 Lbs	6 ft6	No	No	N/A	No	No	0		False	False	Farm Only			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Benoit-Olivier Groulx	Wranglers (CGY)	C/LW/RW	24	2000-02-06	CAN	No	202 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-08-13	False	False	Pro & Farm	750,000$	750,000$	0$	0$	No	Restricted		-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Brennan Othmann	Wranglers (CGY)	LW	21	2003-01-05	CAN	No	192 Lbs	6 ft0	No	No	Prospect	No	No	2	2024-07-02	False	False	Pro & Farm	863,334$	863,334$	0$	0$	No	863,334$	Restricted	-	-	-	-	863,334$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Cole Schwindt	Wranglers (CGY)	RW	23	2001-04-25	CAN	No	203 Lbs	6 ft2	No	No	N/A	No	No	0		False	False	Farm Only			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Danil Gushchin	Wranglers (CGY)	LW	22	2002-02-06	RUS	No	165 Lbs	5 ft8	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dylan Ferguson	Wranglers (CGY)	G	25	1998-09-20	CAN	Yes	194 Lbs	6 ft2	No	No	Draft	No	No	0	2025-07-15	False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Elias Salomonsson	Wranglers (CGY)	D	19	2004-08-31	SWE	Yes	189 Lbs	6 ft2	No	No	Prospect	No	No	0	2025-07-15	False	False	Pro & Farm			0$	0$	No			-	-	-	-	815,000$	815,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Filip Kral	Wranglers (CGY)	D	24	1999-10-20	CZE	Yes	192 Lbs	6 ft2	No	No	Draft	No	No	0	2025-07-15	False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jan Mysak	Wranglers (CGY)	C	22	2002-06-24	CZE	No	192 Lbs	5 ft11	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jeremy Brodeur	Wranglers (CGY)	G	27	1996-10-29	USA	No	185 Lbs	6 ft0	No	No	Free Agent	No	No	0	2025-03-17	False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jordan Papirny	Wranglers (CGY)	G	28	1996-04-10	CAN	No	185 Lbs	6 ft1	No	No	Free Agent	No	No	0	2024-10-08	False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kevin Rooney (1 Way Contract)	Wranglers (CGY)	C	31	1993-05-21	USA	No	190 Lbs	6 ft2	Yes	No	Free Agent	No	No	1	2024-06-27	False	False	Pro & Farm	1,261,000$	1,261,000$	136,000$	136,000$	No	Unrestricted		-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matteo Pietroniro	Wranglers (CGY)	D	25	1998-10-20	USA	No	195 Lbs	6 ft1	No	No	Free Agent	No	No	0	2024-10-08	False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Strome	Wranglers (CGY)	RW	25	1999-01-06	CAN	No	206 Lbs	6 ft4	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Riley Stillman	Wranglers (CGY)	D	26	1998-03-09	CAN	No	207 Lbs	6 ft2	No	No	Free Agent	No	No	0	2024-10-08	False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Sean Farrell	Wranglers (CGY)	C	22	2001-11-02	USA	No	182 Lbs	5 ft9	No	No	Prospect	No	No	2	2024-07-02	False	False	Pro & Farm	897,500$	897,500$	0$	0$	No	897,500$	Restricted	-	-	-	-	897,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Shawn Element	Wranglers (CGY)	C/LW/RW	24	2000-04-23	CAN	No	201 Lbs	5 ft11	No	No	Free Agent	No	No	0	2024-08-13	False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tobias Bjornfot	Wranglers (CGY)	D	23	2001-04-06	SWE	No	200 Lbs	6 ft0	No	No	Free Agent	No	No	2	2024-08-13	False	False	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Restricted	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
William Lockwood	Wranglers (CGY)	RW	26	1998-06-20	USA	No	185 Lbs	5 ft11	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link


21	23.76	195 Lbs	6 ft1	0.48	255,246$



1		Aliaksei Protas	William Lockwood	30	1	2	2
2	Kevin Rooney	Cole Schwindt	Danil Gushchin	30	1	2	2
3		Brennan Othmann	Adam Sykora	20	1	2	2
4	Aliaksei Protas	Cole Schwindt	William Lockwood	20	1	2	2



1	Riley Stillman	Matteo Pietroniro	30	1	2	2
2			30	1	2	2
3		Tobias Bjornfot	20	1	2	2
4	Matteo Pietroniro		20	1	2	2



1	Danil Gushchin	Aliaksei Protas	William Lockwood	50	1	2	2
2		Cole Schwindt	Kevin Rooney	50	1	2	2



1	Riley Stillman	Matteo Pietroniro	50	1	2	2
2			50	1	2	2



1	Aliaksei Protas	William Lockwood	50	1	2	2
2	Cole Schwindt		50	1	2	2



1		Matteo Pietroniro	50	1	2	2
2	Tobias Bjornfot		50	1	2	2



1	Aliaksei Protas	50	1	2	2	Riley Stillman		50	1	2	2
2	William Lockwood	50	1	2	2		Matteo Pietroniro	50	1	2	2



1	Aliaksei Protas	William Lockwood	50	1	2	2
2	Cole Schwindt	Kevin Rooney	50	1	2	2



1	Tobias Bjornfot	50	1	2	2
2	Matteo Pietroniro	50	1	2	2



Kevin Rooney	Aliaksei Protas	William Lockwood	Riley Stillman	Matteo Pietroniro



Kevin Rooney	Aliaksei Protas	William Lockwood	Riley Stillman	Matteo Pietroniro



, William Lockwood, Aliaksei Protas	, William Lockwood	Aliaksei Protas



, Tobias Bjornfot, Matteo Pietroniro	Matteo Pietroniro	, Matteo Pietroniro


Aliaksei Protas, William Lockwood, Cole Schwindt, Brennan Othmann, Danil Gushchin


#1 : Jeremy Brodeur, #2 : Jordan Papirny


Aliaksei Protas, William Lockwood, Cole Schwindt, Brennan Othmann, Danil Gushchin, Adam Sykora, Adam Sykora, , , , Kevin Rooney


, Tobias Bjornfot, Matteo Pietroniro, Riley Stillman,

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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

	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$	4,099,167$	4,099,167$	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$	0	0$	0$

Wranglers 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

Wranglers 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

Wranglers 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

Wranglers 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

Wranglers 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

	Wranglers
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% Marc Gaudreault \| 50 \| 70