LHSDB - Ligue de hockey simulee des debiles barbus

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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	Marco Kasper	0	X				100.00	72	46	85	72	74	86	88	71	75	67	68	70	66	61	65	87	50	68	0
2	Patrick Brown	0	X		X		100.00	81	38	90	63	81	86	83	62	72	64	58	67	59	73	77	26	50	65	0
3	Danil Gushchin	0		X			100.00	61	36	84	67	62	90	84	66	68	63	65	61	69	63	65	67	50	64	0
4	Vasily Ponomarev	0	X				100.00	59	37	82	67	69	78	80	65	73	63	60	62	67	63	64	70	50	63	0
5	Nick Abruzzese	0		X			100.00	60	36	93	66	69	80	87	64	71	63	58	57	60	66	68	56	50	62	0
6	Wilmer Skoog	0	X				100.00	71	40	80	59	80	86	82	57	63	56	60	58	57	66	68	42	50	61	0
7	Rhett Gardner	0	X				100.00	73	42	68	58	85	77	83	57	71	55	56	59	54	69	71	48	50	61	0
8	Henry Thrun	0				X	100.00	71	42	86	69	82	88	84	66	30	68	60	67	52	64	66	60	50	68	0
9	Spencer Stastney	0				X	100.00	61	36	95	64	71	83	81	63	30	65	59	68	50	65	67	55	50	65	0
10	Connor Carrick	0				X	100.00	61	43	67	64	70	94	85	63	30	62	59	57	50	71	73	45	50	64	0
11	Yan Kuznetsov	0				X	100.00	72	40	85	58	88	77	85	57	30	56	55	59	47	63	65	71	50	63	0
Scratches
1	William Eklund	0	X	X			100.00	64	37	88	77	69	87	90	76	65	78	70	69	75	63	70	86	50	71	0
2	John Leonard	0		X			100.00	63	37	90	66	72	93	87	64	61	63	65	62	66	68	69	42	50	65	0
3	Bradly Nadeau	0		X			100.00	61	37	83	67	68	84	72	66	62	67	64	63	68	61	63	80	50	64	0
4	Isak Rosen	0			X		100.00	60	36	95	66	70	86	87	65	56	62	63	61	66	62	64	84	50	64	0
5	Max Sasson	0	X				100.00	64	37	87	63	74	84	85	64	71	65	61	60	63	65	67	42	50	64	0
6	Samuel Helenius	0	X				100.00	82	48	74	65	93	73	86	62	71	61	60	64	58	63	65	68	50	64	0
7	Antonio Stranges	0		X			100.00	57	37	89	65	66	91	80	63	64	62	61	64	66	63	65	58	50	63	0
8	Arshdeep Bains	0		X			100.00	64	37	85	63	71	77	84	62	70	64	59	61	62	64	65	42	50	62	0
9	Wyatt Bongiovanni	0		X			100.00	64	38	82	62	73	91	79	59	58	57	64	58	61	66	68	42	50	62	0
10	Andre Lee	0		X			100.00	79	42	79	62	91	75	79	60	55	59	58	61	57	65	66	47	50	62	0
11	Martin Chromiak	0			X		100.00	63	37	90	61	72	84	86	58	62	60	59	57	61	63	65	57	50	61	0
12	Parker Ford	0			X		100.00	65	38	74	61	68	85	82	59	61	58	63	57	66	65	67	42	50	61	0
13	Samu Tuomaala	0			X		100.00	56	37	89	62	67	82	81	61	66	64	59	57	61	62	64	74	50	61	0
14	Danila Klimovich	0			X		100.00	72	42	73	60	81	90	76	59	57	55	61	58	63	62	64	74	50	61	0
15	Chaz Lucius	0	X				100.00	65	37	91	62	74	78	67	59	69	61	55	58	56	62	64	83	50	60	0
16	Niko Huuhtanen	0			X		100.00	74	42	72	59	83	81	69	56	61	57	58	59	56	62	64	49	50	60	0
17	Nathan Legare	0			X		100.00	77	41	66	58	74	79	83	56	52	57	59	55	58	64	65	66	50	60	0
18	Jagger Joshua	0		X			100.00	72	49	57	58	81	69	77	57	55	56	54	58	53	66	68	42	50	59	0
19	Roman Ahcan	0		X			100.00	63	38	78	58	63	78	82	57	56	55	59	54	57	66	68	42	50	59	0
20	Bryce McConnell-Barker	0	X				100.00	67	39	84	57	76	67	72	56	59	54	55	58	54	61	63	65	50	58	0
21	Chase Stillman	0			X		100.00	65	41	70	58	74	77	82	57	53	55	56	54	58	62	64	79	50	58	0
22	Riley Kidney	0	X				100.00	61	38	80	58	69	71	83	57	63	56	54	53	55	62	64	68	50	58	0
23	Gleb Trikozov	0		X			100.00	72	38	94	57	81	77	62	56	54	52	55	53	58	61	63	68	50	57	0
24	Josh Filmon	0		X			100.00	59	36	94	53	69	63	61	52	55	51	50	54	53	61	63	49	50	54	0
25	Michael Kesselring	0				X	100.00	72	59	70	68	92	85	89	67	30	75	64	69	53	65	68	47	50	70	0
26	Zac Jones	0				X	100.00	65	34	87	69	71	87	75	68	30	74	57	61	52	65	66	64	50	65	0
27	Isaiah George	0				X	100.00	65	37	94	66	77	83	72	62	30	63	59	64	50	61	62	63	50	64	0
28	Calen Addison	0				X	100.00	58	40	71	65	67	73	85	63	30	66	54	56	48	65	67	68	50	61	0
29	Mac Hollowell	0				X	100.00	63	39	72	64	63	75	82	62	30	67	52	54	47	67	69	51	50	61	0
30	Philip Kemp	0				X	100.00	69	40	75	57	84	65	83	58	30	53	55	59	47	66	68	47	50	61	0
31	Ty Nelson	0				X	100.00	55	39	79	64	68	78	73	63	30	61	54	56	47	61	63	67	50	60	0
32	Peter DiLiberatore	0				X	100.00	55	37	79	57	64	70	68	56	30	55	54	51	46	65	67	47	50	57	0

	TEAM AVERAGE					100.00	66	40	82	63	74	81	80	61	54	61	59	60	57	64	66	59	50	62

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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	Devon Levi	100.00	81	90	86	73	80	79	81	80	79	81	80	64	71	58	50	76	0
Scratches
1	Dustin Wolf	100.00	89	92	88	70	88	87	89	88	87	89	88	64	71	58	50	81	0
2	Spencer Knight	100.00	83	87	83	84	82	81	83	82	81	83	82	65	71	83	50	79	0

	TEAM AVERAGE	100.00	84	90	86	76	83	82	84	83	82	84	83	64	71	66	50	79

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Marco Sturm	73	71	72	65	71	66	80	DEU	46	5	1,000,000$

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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

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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

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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
Andre Lee	LW	24	2000-07-26	No	206 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Antonio Stranges	LW	23	2002-02-05	No	168 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Arshdeep Bains	LW	24	2001-01-09	No	184 Lbs	6 ft0	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Bradly Nadeau	LW	20	2005-05-05	No	172 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Bryce McConnell-Barker	C	21	2004-06-04	No	191 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Calen Addison	D	25	2000-04-11	No	173 Lbs	5 ft11	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Chase Stillman	RW	22	2003-03-19	No	185 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Chaz Lucius	C	22	2003-05-02	No	185 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Connor Carrick	D	31	1994-04-13	No	198 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Danil Gushchin	LW	23	2002-02-06	No	165 Lbs	5 ft8	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Danila Klimovich	RW	22	2003-01-09	No	202 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Devon Levi	G	23	2001-12-27	No	192 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dustin Wolf	G	24	2001-04-16	No	166 Lbs	6 ft0	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Gleb Trikozov	LW	20	2004-08-12	No	201 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Henry Thrun	D	24	2001-03-12	No	210 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Isaiah George	D	21	2004-02-15	No	196 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Isak Rosen	RW	22	2003-03-15	No	180 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jagger Joshua	LW	26	1999-03-29	No	201 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
John Leonard	LW	26	1998-08-07	No	196 Lbs	5 ft11	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Josh Filmon	LW	21	2004-03-18	No	158 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Mac Hollowell	D	26	1998-09-26	No	170 Lbs	5 ft9	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Marco Kasper	C	21	2004-04-08	No	183 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Martin Chromiak	RW	22	2002-08-20	No	187 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Max Sasson	C	24	2000-09-05	No	181 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Michael Kesselring	D	25	2000-01-13	No	215 Lbs	6 ft5	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Nathan Legare	RW	24	2001-01-11	No	200 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Nick Abruzzese	LW	26	1999-06-04	No	183 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Niko Huuhtanen	RW	22	2003-06-26	No	198 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Parker Ford	RW	24	2000-07-20	No	181 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Patrick Brown	C/RW	33	1992-05-29	No	218 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	801,000$	0$	0$	No	Link / NHL Link
Peter DiLiberatore	D	25	2000-03-31	No	160 Lbs	5 ft11	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Philip Kemp	D	26	1999-02-12	No	202 Lbs	6 ft3	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Rhett Gardner	C	29	1996-02-28	No	210 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Riley Kidney	C	22	2003-03-25	No	181 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Roman Ahcan	LW	26	1999-03-24	No	170 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Samu Tuomaala	RW	22	2003-01-08	No	174 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Samuel Helenius	C	22	2002-11-26	No	201 Lbs	6 ft6	No	No	No	1	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Spencer Knight	G	24	2001-04-19	No	191 Lbs	6 ft3	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Spencer Stastney	D	25	2000-01-04	No	184 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ty Nelson	D	21	2004-03-30	No	195 Lbs	5 ft9	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Vasily Ponomarev	C	23	2002-03-13	No	180 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
William Eklund	C/LW	22	2002-10-12	No	181 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Wilmer Skoog	C	25	1999-07-17	No	196 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Wyatt Bongiovanni	LW	25	1999-07-24	No	194 Lbs	6 ft0	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Yan Kuznetsov	D	23	2002-03-09	No	209 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Zac Jones	D	24	2000-10-18	No	190 Lbs	5 ft11	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
46	23.80	188 Lbs	6 ft0	1.72	386,978$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Danil Gushchin	Patrick Brown		40	1	2	2
2				30	1	2	2
3	Nick Abruzzese	Vasily Ponomarev	Yan Kuznetsov	20	1	2	2
4		Patrick Brown		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3	Connor Carrick	Spencer Stastney	20	1	2	2
4		Yan Kuznetsov	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Danil Gushchin	Patrick Brown		60	1	2	2
2		Vasily Ponomarev		40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor Carrick		60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Patrick Brown		60	1	2	2
2	Danil Gushchin	Vasily Ponomarev	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Patrick Brown	60	1	2	2	Connor Carrick		60	1	2	2
2	Danil Gushchin	40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Patrick Brown		60	1	2	2
2	Danil Gushchin	Vasily Ponomarev	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Danil Gushchin	Patrick Brown		Connor Carrick

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Danil Gushchin	Patrick Brown		Connor Carrick

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nick Abruzzese, , Vasily Ponomarev	Nick Abruzzese,	Vasily Ponomarev

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
Patrick Brown, , Danil Gushchin, Vasily Ponomarev,

Goalie
#1 : Devon Levi, #2 :

Custom OT Lines Forwards
Patrick Brown, Wilmer Skoog, Danil Gushchin, Vasily Ponomarev, , , , Nick Abruzzese, Rhett Gardner, ,

Custom OT Lines Defensemen
, , , , Yan Kuznetsov

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Priority	Type	Description
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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.
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10	text	Any text entered in the filter will match text found within the column

			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	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	0	0	0.00%

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

Last Played Games Show or Hide Column

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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

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	35	15
Attendance	0.00%	0.00%
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
36	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	178,010$	0$	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$

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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