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	William Eklund	0	X	X			100.00	62	38	82	73	69	90	87	74	64	72	67	66	73	62	65	87	50	68	0
2	Cole Guttman	0	X				100.00	62	38	83	68	63	86	82	67	81	65	66	62	68	65	67	48	50	65	0
3	Danil Gushchin	0		X			100.00	61	37	88	67	62	92	84	65	63	66	64	61	67	63	65	66	50	64	0
4	Vasily Ponomarev	0	X				100.00	57	37	86	67	66	78	80	65	73	66	64	62	67	62	64	71	50	64	0
5	John Leonard	0		X			100.00	62	37	91	63	72	85	87	64	59	60	62	63	65	67	68	47	50	63	0
6	Rhett Gardner	0	X				100.00	73	42	67	60	85	81	84	59	72	58	57	63	58	68	70	49	50	62	0
7	Jeffrey Viel	0		X			100.00	71	81	52	56	81	84	85	57	60	58	59	61	55	67	69	37	50	61	0
8	Darren Raddysh	0				X	100.00	69	40	86	66	76	90	88	68	30	74	62	67	53	68	70	36	50	68	0
9	Calen Addison	0				X	100.00	63	33	78	69	67	87	85	68	30	77	55	62	53	64	65	68	50	66	0
10	Michael Kesselring	0				X	100.00	74	45	72	66	84	85	86	64	30	68	60	61	52	64	65	48	50	66	0
11	Spencer Stastney	0				X	100.00	60	36	95	64	71	82	84	63	30	65	60	68	52	64	65	56	50	65	0
12	Zac Jones	0				X	100.00	59	37	86	65	67	83	79	64	30	66	60	62	52	64	65	67	50	63	0
Scratches
1	Justin Danforth	0	X		X		100.00	74	33	88	71	66	84	74	67	78	69	65	75	66	71	72	34	50	68	0
2	Adam Ruzicka	0	X				100.00	62	38	93	67	89	77	76	66	77	69	61	62	62	65	67	58	50	65	0
3	Riley Tufte	0		X			100.00	84	80	66	62	98	86	85	63	65	60	61	64	62	66	67	77	50	65	0
4	Nic Petan	0	X				100.00	62	37	79	65	64	86	83	66	70	67	63	62	65	70	71	60	50	64	0
5	Arshdeep Bains	0		X			100.00	65	37	85	63	71	78	85	62	67	64	57	59	61	64	65	46	50	62	0
6	Nick Abruzzese	0		X			100.00	60	36	91	65	69	79	87	63	64	66	57	58	63	65	67	56	50	62	0
7	Chaz Lucius	0	X				100.00	65	38	87	63	74	76	64	62	71	65	56	58	62	61	63	83	50	61	0
8	Emil Heineman	0		X			100.00	68	38	84	63	75	86	71	62	58	57	61	59	62	63	65	74	50	61	0
9	Martin Chromiak	0			X		100.00	63	38	87	61	72	85	83	58	62	59	60	56	61	63	64	58	50	61	0
10	Marco Kasper (R)	0	X				100.00	73	37	87	59	74	85	73	58	60	57	56	63	59	62	64	89	50	61	0
11	Samuel Helenius	0	X				100.00	84	43	73	57	93	71	84	56	63	55	54	61	56	62	64	69	50	61	0
12	Wyatt Bongiovanni	0		X			100.00	64	39	82	60	73	80	79	59	56	55	62	57	61	65	67	42	50	60	0
13	Samu Tuomaala (R)	0			X		100.00	58	36	95	62	67	81	72	61	65	63	59	56	60	61	63	74	50	60	0
14	Andre Lee	0		X			100.00	82	42	82	56	91	71	77	57	55	53	58	61	59	64	66	48	50	60	0
15	Antonio Stranges	0		X			100.00	57	36	95	60	66	81	73	58	61	59	57	56	61	63	65	58	50	59	0
16	Chase Stillman (R)	0			X		100.00	65	43	66	62	74	77	69	58	53	56	60	57	59	61	63	79	50	59	0
17	Danila Klimovich	0			X		100.00	72	41	74	58	81	79	76	57	55	53	56	54	59	61	63	74	50	59	0
18	Nathan Legare	0			X		100.00	66	42	69	58	75	80	83	57	53	54	56	59	55	63	65	67	50	59	0
19	Carter Savoie	0		X			100.00	59	37	88	58	68	75	80	56	53	57	57	54	58	62	64	62	50	58	0
20	Riley Kidney (R)	0	X				100.00	60	39	80	58	69	81	71	57	63	56	54	59	56	61	63	68	50	58	0
21	Roman Ahcan	0		X			100.00	63	38	79	58	63	73	82	56	55	57	57	53	56	65	67	42	50	58	0
22	Egor Zamula	0				X	100.00	72	39	88	67	83	82	83	66	30	72	61	63	53	64	66	43	50	67	0
23	Ronnie Attard	0				X	100.00	74	41	79	63	85	86	84	62	30	64	58	68	50	65	67	63	50	67	0
24	Connor Carrick	0				X	100.00	85	39	73	67	70	87	85	62	30	66	55	58	50	71	72	45	50	66	0
25	Dmitri Samorukov	0				X	100.00	67	38	87	59	81	82	85	57	30	56	55	60	47	65	67	62	50	63	0
26	Yan Kuznetsov	0				X	100.00	72	40	86	59	88	77	84	58	30	57	56	60	48	62	64	72	50	63	0
27	Mac Hollowell	0				X	100.00	63	39	74	64	63	80	76	62	30	67	56	57	49	66	68	57	50	62	0
28	Philip Kemp	0				X	100.00	69	41	76	59	84	65	85	58	30	57	56	60	49	65	67	47	50	62	0
29	Filip Johansson (R)	0				X	100.00	64	37	95	59	73	71	69	58	30	57	54	53	46	64	66	79	50	59	0
30	Nicolas Beaudin	0				X	100.00	57	38	74	63	66	65	70	57	30	64	51	54	46	65	67	77	50	58	0
31	Peter DiLiberatore	0				X	100.00	55	37	84	56	64	72	70	54	30	57	53	55	46	64	66	48	50	57	0

	TEAM AVERAGE					100.00	66	40	82	62	74	80	80	61	52	62	59	60	57	64	66	60	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	Dustin Wolf	100.00	79	91	87	70	78	77	79	78	77	79	78	63	70	59	50	75	0
Scratches
1	Devon Levi	100.00	82	80	76	73	81	80	82	81	80	82	81	63	70	59	50	76	0
2	Brandon Halverson	100.00	72	73	67	88	71	70	72	71	70	72	71	68	81	57	50	71	0
3	Isaiah Saville	100.00	70	76	72	76	69	68	70	69	68	70	69	64	71	55	50	68	0

	TEAM AVERAGE	100.00	76	80	76	77	75	74	76	75	74	76	75	65	73	58	50	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Marco Sturm	71	72	69	73	69	65	81	DEU	45	6	1,000,000$

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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	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
Adam Ruzicka	C	25	1999-05-11	No	215 Lbs	6 ft4	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Andre Lee	LW	23	2000-07-26	No	206 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Antonio Stranges	LW	22	2002-02-05	No	168 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Arshdeep Bains	LW	23	2001-01-09	No	184 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Brandon Halverson	G	28	1996-03-29	No	210 Lbs	6 ft4	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
Calen Addison	D	24	2000-04-11	No	173 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Carter Savoie	LW	22	2002-01-23	No	192 Lbs	5 ft9	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Chase Stillman	RW	21	2003-03-19	Yes	185 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Chaz Lucius	C	21	2003-05-02	No	185 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Cole Guttman	C	25	1999-04-06	No	167 Lbs	5 ft9	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Connor Carrick	D	30	1994-04-13	No	198 Lbs	5 ft10	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
Danil Gushchin	LW	22	2002-02-06	No	165 Lbs	5 ft8	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Danila Klimovich	RW	21	2003-01-09	No	202 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Darren Raddysh	D	28	1996-02-28	No	195 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Devon Levi	G	22	2001-12-27	No	192 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dmitri Samorukov	D	25	1999-06-16	No	188 Lbs	6 ft3	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Dustin Wolf	G	23	2001-04-16	No	166 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Egor Zamula	D	24	2000-03-30	No	200 Lbs	6 ft3	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Emil Heineman	LW	22	2001-11-16	No	202 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Filip Johansson	D	24	2000-03-23	Yes	176 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	NHL Link
Isaiah Saville	G	23	2000-09-21	No	193 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jeffrey Viel	LW	27	1997-01-28	No	205 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
John Leonard	LW	25	1998-08-07	No	196 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Justin Danforth	C/RW	31	1993-03-15	No	188 Lbs	5 ft8	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
Mac Hollowell	D	25	1998-09-26	No	170 Lbs	5 ft9	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Marco Kasper	C	20	2004-04-08	Yes	183 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	NHL Link
Martin Chromiak	RW	21	2002-08-20	No	187 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Michael Kesselring	D	24	2000-01-13	No	190 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Nathan Legare	RW	23	2001-01-11	No	205 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Nic Petan	C	29	1995-03-22	No	175 Lbs	5 ft9	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
Nick Abruzzese	LW	25	1999-06-04	No	183 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Nicolas Beaudin	D	24	1999-10-07	No	168 Lbs	5 ft11	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Peter DiLiberatore	D	24	2000-03-31	No	160 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Philip Kemp	D	25	1999-02-12	No	202 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Rhett Gardner	C	28	1996-02-28	No	210 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Riley Kidney	C	21	2003-03-25	Yes	181 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Riley Tufte	LW	26	1998-04-10	No	230 Lbs	6 ft6	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Roman Ahcan	LW	25	1999-03-24	No	170 Lbs	5 ft9	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link
Ronnie Attard	D	25	1999-03-20	No	208 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Samu Tuomaala	RW	21	2003-01-08	Yes	174 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Samuel Helenius	C	21	2002-11-26	No	201 Lbs	6 ft6	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Spencer Stastney	D	24	2000-01-04	No	184 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Vasily Ponomarev	C	22	2002-03-13	No	180 Lbs	5 ft10	No	No	No	2	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
William Eklund	C/LW	21	2002-10-12	No	181 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Wyatt Bongiovanni	LW	25	1999-07-24	No	194 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Yan Kuznetsov	D	22	2002-03-09	No	209 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Zac Jones	D	23	2000-10-18	No	176 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
47	23.94	189 Lbs	6 ft0	1.81	340,426$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Rhett Gardner		40	1	2	2
2		Jeffrey Viel		30	1	2	2
3	John Leonard	Cole Guttman	Danil Gushchin	20	1	2	2
4	Danil Gushchin			10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Spencer Stastney		40	1	2	2
2	Zac Jones	Darren Raddysh	30	1	2	2
3	Calen Addison	Michael Kesselring	20	1	2	2
4	Michael Kesselring	Zac Jones	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Cole Guttman		60	1	2	2
2		Rhett Gardner		40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	Zac Jones	60	1	2	2
2		Calen Addison	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Cole Guttman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	Zac Jones	60	1	2	2
2	Calen Addison		40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2	Michael Kesselring	Zac Jones	60	1	2	2
2		40	1	2	2		Spencer Stastney	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Cole Guttman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zac Jones	Michael Kesselring	60	1	2	2
2	Spencer Stastney		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Rhett Gardner		Michael Kesselring

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Rhett Gardner		Michael Kesselring

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

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Zac Jones, , Michael Kesselring	Michael Kesselring	Michael Kesselring, Zac Jones

Penalty Shots
Danil Gushchin, , Rhett Gardner, Cole Guttman,

Goalie
#1 : Dustin Wolf, #2 :

Custom OT Lines Forwards
Vasily Ponomarev, , Jeffrey Viel, Cole Guttman, , Rhett Gardner, Rhett Gardner, John Leonard, , Danil Gushchin,

Custom OT Lines Defensemen
Spencer Stastney, Michael Kesselring, Zac Jones, , Calen Addison

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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`)
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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.
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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$	160,000$	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