Profi League - Wolves

Blues
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Show or Hide Column

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
1	Chris Neil			X		100.00	84	99	57	70	79	71	69	67	61	41	41	60	50	85	90	0	81	64	0
2	Jonathan Drouin		X	X		100.00	61	43	96	90	61	79	69	70	62	46	44	58	50	55	56	0	78	63	0
3	Alexander Semin (A)			X		100.00	57	42	65	74	58	58	68	61	62	42	40	57	61	76	79	0	85	58	0
4	Jason Akeson			X		100.00	72	68	75	66	53	70	67	60	74	40	35	58	50	45	46	0	76	56	0
5	Peter Cehlarik (R)		X	X		100.00	63	40	59	66	60	59	60	67	50	39	38	59	52	50	50	0	84	55	0
6	Andrew Agozzino	X	X			100.00	61	66	60	73	51	67	64	62	71	42	38	57	56	44	44	0	83	55	0
7	Brayden Irwin (R)	X				100.00	76	84	72	54	59	68	58	56	61	34	36	62	65	54	60	0	24	55	0
8	Tyler Graovac (R)	X				100.00	65	78	63	70	59	65	63	57	74	33	33	60	50	44	44	0	44	54	0
9	Zac Dalpe	X		X		100.00	58	50	67	66	55	52	65	62	58	40	37	58	50	58	58	0	86	54	0
10	Joel Vermin (R)	X	X	X		100.00	60	40	53	65	59	56	57	62	59	37	36	57	51	50	50	0	60	53	0
11	Cory Kane	X	X			100.00	84	74	78	62	56	61	61	53	64	27	32	60	50	44	44	0	80	53	0
12	Travis Boyd (R)	X		X		100.00	65	66	71	63	51	59	61	60	69	37	38	58	50	44	44	0	85	53	0
13	Morgan Klimchuk (R)		X			100.00	67	67	72	68	52	51	60	53	59	28	30	58	50	44	44	0	70	51	0
14	Shea Theodore (R)				X	100.00	62	41	89	85	67	78	64	77	25	44	44	72	50	60	58	0	70	65	0
15	Ryan Pulock (R)				X	100.00	66	89	85	82	78	71	76	74	25	41	43	70	50	59	59	0	74	65	0
16	David Rundblad				X	100.00	63	50	87	81	68	61	65	74	25	43	38	70	50	67	68	0	29	63	0
17	Ivan Provorov (R)				X	100.00	69	40	55	74	70	64	65	68	50	44	35	72	50	50	50	0	79	60	0
18	Brandon Carlo (R)				X	100.00	74	45	75	69	69	65	61	64	25	37	35	69	50	51	51	0	68	58	0
Scratches
1	Bill Arnold	X				100.00	78	77	76	59	59	65	63	57	73	32	35	64	50	44	44	0	79	55	0
2	Brett Pesce (R)				X	100.00	67	42	88	77	80	89	65	71	25	44	40	76	50	52	52	0	55	65	0
3	Kenny Ryan			X	X	100.00	73	73	75	61	56	64	63	54	65	28	33	55	50	44	44	0	20	53	0

	TEAM AVERAGE					100.00	68	61	72	70	62	65	64	63	54	38	37	62	52	53	54	0	67	58

Show or Hide Column

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
1	Steve Michalek (R)	100.00	65	70	69	75	65	71	65	69	68	63	46	55	55	0	78	64	0
2	Zane McIntyre (R)	100.00	59	71	76	69	65	71	63	66	61	62	47	58	58	0	32	63	0
Scratches
1	Jason LaBarbera	100.00	57	71	81	69	64	67	61	65	60	61	64	62	63	0	65	64	0

	TEAM AVERAGE	100.00	60	71	75	71	65	70	63	67	63	62	52	58	59	0	58	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mike Stothers	67	76	64	68	60	58	62	CAN	54	5	100,000$

Show or Hide Column

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	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKM	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Shea Theodore	Wolves (STL)		D	4	5	2	7	-2	0	0	3	27	13	13	18.52%	12	24.:.28	2	1	3	0	0	4	0	0.00%	0	9	5	0	1	1.43	0
2	David Rundblad	Wolves (STL)		D	4	0	4	4	1	0	0	5	19	7	13	0.00%	9	20.:.40	0	2	2	0	0	3	0	0.00%	0	5	5	0	0	0.97	0
3	Jonathan Drouin	Wolves (STL)		LW/RW	4	2	1	3	-5	0	0	2	18	13	12	11.11%	2	24.:.30	1	1	2	0	0	9	0	27.27%	22	20	3	0	0	0.61	0
4	Andrew Agozzino	Wolves (STL)		C/LW	4	0	3	3	-5	7	5	7	7	3	5	0.00%	4	17.:.59	0	2	2	0	0	0	0	42.42%	66	4	2	0	0	0.83	0
5	Alexander Semin	Wolves (STL)		RW	4	1	1	2	-4	2	0	8	12	5	6	8.33%	1	18.:.49	1	1	2	0	0	7	0	50.00%	6	4	3	0	0	0.53	0
6	Ryan Pulock	Wolves (STL)		D	4	0	2	2	-6	47	25	6	15	13	12	0.00%	10	21.:.32	0	1	1	0	0	4	0	0.00%	0	3	4	0	0	0.46	0
7	Zac Dalpe	Wolves (STL)		C/RW	4	0	2	2	-1	0	0	4	8	5	6	0.00%	3	14.:.23	0	0	0	0	0	0	0	28.89%	45	6	0	0	0	0.70	0
8	Peter Cehlarik	Wolves (STL)		LW/RW	4	0	1	1	-5	4	0	8	7	2	9	0.00%	2	18.:.51	0	1	1	0	0	0	0	100.00%	2	5	1	0	0	0.27	0
9	Brayden Irwin	Wolves (STL)		C	4	1	0	1	-4	7	5	8	4	0	3	25.00%	0	16.:.37	1	0	1	0	0	0	0	46.88%	64	0	1	0	0	0.30	0
10	Ivan Provorov	Wolves (STL)		D	4	0	0	0	-6	2	0	5	3	6	6	0.00%	11	19.:.02	0	0	0	0	0	2	0	0.00%	0	1	4	0	0	0.00	0
11	Joel Vermin	Wolves (STL)		C/LW/RW	4	0	0	0	-1	0	0	7	2	4	3	0.00%	4	14.:.44	0	0	0	0	0	2	0	50.00%	4	1	0	0	0	0.00	0
12	Tyler Graovac	Wolves (STL)		C	3	0	0	0	-1	0	0	3	0	0	0	0.00%	0	06.:.51	0	0	0	0	0	0	0	70.59%	17	0	0	0	0	0.00	0
13	Morgan Klimchuk	Wolves (STL)		LW	4	0	0	0	0	0	0	2	0	0	0	0.00%	0	05.:.24	0	0	0	0	0	0	0	14.29%	7	0	1	0	0	0.00	0
14	Chris Neil	Wolves (STL)		RW	1	0	0	0	0	19	5	4	1	1	1	0.00%	0	18.:.53	0	0	0	0	0	1	0	0.00%	2	1	1	0	0	0.00	0
15	Cory Kane	Wolves (STL)		C/LW	4	0	0	0	-1	0	0	3	1	1	1	0.00%	1	06.:.44	0	0	0	0	0	0	0	0.00%	1	0	0	0	0	0.00	0
16	Travis Boyd	Wolves (STL)		C/RW	4	0	0	0	-1	22	10	3	4	2	1	0.00%	2	11.:.30	0	0	0	0	0	0	0	0.00%	4	1	1	0	0	0.00	0
17	Brandon Carlo	Wolves (STL)		D	4	0	0	0	-5	0	0	7	3	0	1	0.00%	4	14.:.07	0	0	0	0	0	1	0	0.00%	0	1	3	0	0	0.00	0
18	Kenny Ryan	Wolves (STL)		RW/D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.00	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
19	Jason Akeson	Wolves (STL)		RW	4	0	0	0	-4	7	5	7	4	1	2	0.00%	1	17.:.07	0	0	0	0	0	0	0	20.00%	5	0	2	0	0	0.00	0
Team Total or Average			69	9	16	25	-50	117	55	92	85	135	76	94	6.67%	66	1105	16.02	5	9	14	31	103	0	2	39	0	0	40.00%	245	61	36	1	0.45	0	0	1	3	7	1	0	0

Show or Hide Column

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	OTL	PCT	GAA	MP	SO	GA	SA	SAR	EG	PS %	PSA	ST	BG	S3
1	Steve Michalek	Wolves (STL)	4	0	4	0	87.7%	5.22	207	0	18	146	82	0	0.0%	0	4	0	0
2	Zane McIntyre	Wolves (STL)	1	0	0	0	76.2%	10.00	30	0	5	21	13	0	0.0%	0	0	4	0
Team Total or Average		5	0	4	0	0.862	5.80	238	0	23	167	95	0	0.000	0	4	4	0

Show or Hide Column

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	Rookie	Weight	Height	No Trade	Force Waivers	Contract	Status	Type	Current Salary	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	Link
Alexander Semin	Wolves (STL)	RW	33	3.3.1984	No	209 Lbs	6 ft2	No	No	1	UFA	Pro & Farm	600,000$										Link
Andrew Agozzino	Wolves (STL)	C/LW	25	3.1.1992 18:52:37	No	187 Lbs	5 ft10	No	No	1	RFA	Pro & Farm	1,000,000$										Link
Bill Arnold	Wolves (STL)	C	24	1.7.1992	No	218 Lbs	6 ft0	No	No	9	RFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Link
Brandon Carlo	Wolves (STL)	D	20	26.11.1996 0:59:04	Yes	203 Lbs	6 ft5	No	No	10	ELC	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Brayden Irwin	Wolves (STL)	C	29	24.3.1988 7:45:01	Yes	215 Lbs	6 ft5	No	No	5	UFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$
Brett Pesce	Wolves (STL)	D	22	15.11.1994 14:30:28	Yes	195 Lbs	6 ft3	No	No	3	ELC	Pro & Farm	1,100,000$	1,100,000$	1,100,000$								Link
Chris Neil	Wolves (STL)	RW	37	18.6.1979	No	215 Lbs	6 ft1	No	No	1	UFA	Pro & Farm	1,200,000$										Link
Cory Kane	Wolves (STL)	C/LW	26	15.9.1990	No	201 Lbs	6 ft1	No	No	1	RFA	Pro & Farm	600,000$										Link
David Rundblad	Wolves (STL)	D	26	8.10.1990 14:40:01	No	187 Lbs	6 ft2	No	No	1	RFA	Pro & Farm	1,400,000$										Link
Ivan Provorov	Wolves (STL)	D	20	13.1.1997 15:14:39	Yes	201 Lbs	6 ft1	No	No	1	ELC	Pro & Farm	399,999$
Jason Akeson	Wolves (STL)	RW	26	3.6.1990	No	190 Lbs	5 ft10	No	No	1	RFA	Pro & Farm	600,000$										Link
Jason LaBarbera	Wolves (STL)	G	37	18.2.1980	No	232 Lbs	6 ft3	No	No	1	UFA	Pro & Farm	600,000$										Link
Joel Vermin	Wolves (STL)	C/LW/RW	25	5.2.1992 15:15:31	Yes	192 Lbs	5 ft11	No	No	10	RFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Jonathan Drouin	Wolves (STL)	LW/RW	22	27.3.1995 16:22:57	No	186 Lbs	5 ft11	No	No	2	ELC	Pro & Farm	1,400,000$	1,400,000$									Link
Kenny Ryan	Wolves (STL)	RW/D	25	10.7.1991 3:30:31	No	204 Lbs	6 ft0	No	No	6	RFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$					Link
Morgan Klimchuk	Wolves (STL)	LW	22	1.3.1995	Yes	180 Lbs	6 ft0	No	No	10	ELC	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link
Peter Cehlarik	Wolves (STL)	LW/RW	21	2.8.1995 15:16:24	Yes	203 Lbs	6 ft2	No	No	10	ELC	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Ryan Pulock	Wolves (STL)	D	22	6.10.1994	Yes	212 Lbs	6 ft2	No	No	3	ELC	Pro & Farm	1,300,000$	1,300,000$	1,300,000$								Link
Shea Theodore	Wolves (STL)	D	21	3.8.1995 16:27:32	Yes	182 Lbs	6 ft2	No	No	3	ELC	Pro & Farm	1,300,000$	1,300,000$	1,300,000$								Link
Steve Michalek	Wolves (STL)	G	23	5.8.1993	Yes	197 Lbs	6 ft3	No	No	10	RFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link
Travis Boyd	Wolves (STL)	C/RW	23	14.9.1993	Yes	185 Lbs	5 ft10	No	No	10	RFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link
Tyler Graovac	Wolves (STL)	C	24	27.4.1993	Yes	200 Lbs	6 ft5	No	No	8	RFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Link
Zac Dalpe	Wolves (STL)	C/RW	27	1.11.1989	No	195 Lbs	6 ft1	No	No	2	UFA	Pro & Farm	800,000$	800,000$									Link
Zane McIntyre	Wolves (STL)	G	24	20.8.1992	Yes	207 Lbs	6 ft2	No	No	10	RFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	25.17	200 Lbs	6 ft1	4.96	558,333$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonathan Drouin		Alexander Semin	40	1	2	2
2	Peter Cehlarik	Andrew Agozzino	Jason Akeson	30	1	2	2
3	Joel Vermin	Zac Dalpe	Travis Boyd	20	1	2	2
4	Cory Kane	Tyler Graovac	Jonathan Drouin	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Ryan Pulock	40	1	2	2
2	Shea Theodore	David Rundblad	30	1	2	2
3	Ivan Provorov	Brandon Carlo	20	1	2	2
4		Ryan Pulock	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonathan Drouin		Alexander Semin	60	1	2	2
2	Peter Cehlarik	Andrew Agozzino	Jason Akeson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Ryan Pulock	60	1	2	2
2	Shea Theodore	David Rundblad	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jonathan Drouin	Alexander Semin	60	1	2	2
2	Jason Akeson	Peter Cehlarik	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Ryan Pulock	60	1	2	2
2	Shea Theodore	David Rundblad	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jonathan Drouin	60	1	2	2		Ryan Pulock	60	1	2	2
2	Alexander Semin	40	1	2	2	Shea Theodore	David Rundblad	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jonathan Drouin	Alexander Semin	60	1	2	2
2	Jason Akeson	Peter Cehlarik	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Ryan Pulock	60	1	2	2
2	Shea Theodore	David Rundblad	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jonathan Drouin		Alexander Semin		Ryan Pulock

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jonathan Drouin		Alexander Semin		Ryan Pulock

Extra Forwards
Normal	PowerPlay	Penalty Kill
Morgan Klimchuk, Zac Dalpe, Tyler Graovac	Morgan Klimchuk, Zac Dalpe	Tyler Graovac

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ivan Provorov, Brandon Carlo, Shea Theodore	Ivan Provorov	Brandon Carlo, Shea Theodore

Penalty Shots
Jonathan Drouin, Alexander Semin, Jason Akeson, Peter Cehlarik,

Goalie
#1 : Steve Michalek, #2 : Zane McIntyre

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

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

#	VS Team	GP	L	GF	GA	Diff	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Barons	4	4	10	23	-13	10	17	27	3	3	4	149	48	49	52	167	79	117	97	15	5	33.33%	11	7	36.36%	39	96	40.63%	33	81	40.74%	26	68	38.24%	92	59	86	32	60	30
	Vs Division	4	4	10	23	-13	10	17	27	3	3	4	149	48	49	52	167	79	117	97	15	5	33.33%	11	7	36.36%	39	96	40.63%	33	81	40.74%	26	68	38.24%	92	59	86	32	60	30
	Vs Conference	4	4	10	23	-13	10	17	27	3	3	4	149	48	49	52	167	79	117	97	15	5	33.33%	11	7	36.36%	39	96	40.63%	33	81	40.74%	26	68	38.24%	92	59	86	32	60	30
	Since Last GM Reset	4	4	10	23	-13	10	17	27	3	3	4	149	48	49	52	167	79	117	97	15	5	33.33%	11	7	36.36%	39	96	40.63%	33	81	40.74%	26	68	38.24%	92	59	86	32	60	30
	Total	4	4	10	23	-13	10	17	27	3	3	4	149	48	49	52	167	79	117	97	15	5	33.33%	11	7	36.36%	39	96	40.63%	33	81	40.74%	26	68	38.24%	92	59	86	32	60	30

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	0	L4	10	17	27	149	167	79	117	97	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	10	23

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	7

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	16

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	4	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
15	5	33.33%	11	7	36.36%	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
48	49	52	0	3	3	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 %
39	96	40.63%	33	81	40.74%	26	68	38.24%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
92	59	86	32	60	30

Last Played Games

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

Date		Result	Detail
Wed, Apr 30	@	Barons3,Wolves2	RECAP
Fri, May 2	@	Barons4,Wolves3	RECAP
Sun, May 4	@	Wolves3,Barons6	RECAP
Tue, May 6	@	Wolves2,Barons10	RECAP

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
39	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,340,000$	700,000$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date
0$	0$	0$

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

Show or Hide Column

	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