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
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#	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	Jujhar Khaira	0	X	X			100.00	80	79	82	63	89	82	73	64	78	68	62	79	61	72	73	54	50	68	0
2	Morgan Geekie	0	X		X		100.00	72	50	89	71	84	82	87	69	77	72	67	65	69	67	68	63	50	68	0
3	Evgenii Dadonov	0		X	X		100.00	64	34	94	72	71	84	83	70	53	72	65	62	71	78	77	34	50	67	0
4	Austin Watson	0	X	X	X		100.00	81	83	55	65	94	74	80	62	57	60	61	80	58	76	73	51	50	66	0
5	Josh Doan	0	X		X		100.00	64	37	88	69	74	86	76	67	60	66	72	63	69	62	68	76	50	66	0
6	Egor Sokolov	0		X	X		100.00	76	42	73	66	88	89	87	65	61	63	64	62	67	65	66	68	50	65	0
7	Georgii Merkulov	0	X	X	X		100.00	59	36	90	66	68	87	85	64	70	62	63	61	66	65	67	43	50	64	0
8	Alex Barre-Boulet	0	X	X	X		100.00	62	36	82	66	68	85	84	64	72	65	63	64	66	68	69	37	50	64	0
9	Fabian Lysell	0			X		100.00	57	38	75	65	67	86	80	64	72	67	60	62	61	63	62	82	50	63	0
10	Cole Koepke	0		X			100.00	71	38	91	64	78	84	85	63	60	59	62	61	64	66	68	47	50	63	0
11	Jakob Pelletier	0	X	X			100.00	63	36	87	66	63	85	76	65	60	63	62	61	66	64	65	80	50	63	0
12	Fredrik Karlstrom	0	X				100.00	69	38	93	56	83	80	83	57	64	58	59	63	56	66	68	60	50	62	0
13	Alex Beaucage	0		X	X		100.00	67	39	80	56	76	81	75	55	60	58	54	57	53	63	65	64	50	59	0
14	Ben McCartney	0		X			100.00	62	43	63	58	71	78	76	57	61	59	56	55	58	63	65	49	50	59	0
15	Oliver Kylington	0				X	100.00	67	43	86	72	71	86	65	69	30	70	65	67	55	68	67	57	50	67	0
16	Gustav Lindstrom	0				X	100.00	72	38	83	65	79	83	76	62	30	68	60	61	50	66	68	72	50	65	0
17	Emil Lilleberg	0				X	100.00	75	42	73	65	81	83	72	63	30	64	58	66	49	63	65	60	50	65	0
18	Leon Gawanke	0				X	100.00	66	41	74	63	75	82	80	62	30	65	59	60	51	65	67	55	50	64	0
19	Hardy Haman Aktell (R)	0				X	100.00	73	39	82	63	83	75	71	62	30	64	58	61	50	66	68	58	50	64	0
20	Griffin Mendel	0				X	100.00	87	42	83	56	96	65	81	53	30	55	54	58	45	65	67	42	50	63	0
Scratches
1	Alex Steeves	0	X	X	X		100.00	70	37	87	65	74	89	85	63	69	62	61	60	65	66	67	42	50	64	0
2	James Malatesta (R)	0	X	X			100.00	75	41	67	65	68	84	72	64	55	61	62	63	65	61	66	58	50	63	0
3	Mikael Pyyhtia (R)	0	X	X			100.00	59	36	95	64	68	81	75	62	58	63	59	66	61	63	65	59	50	62	0
4	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
5	Cameron Butler	0			X		100.00	72	42	66	58	88	66	69	57	52	56	55	59	54	62	64	45	50	59	0
6	Chase Wheatcroft	0	X				100.00	70	40	81	58	79	75	68	56	66	59	54	57	55	62	64	43	50	59	0
7	Danil Zhilkin (R)	0	X				100.00	67	39	84	56	76	77	67	55	59	53	54	57	58	61	63	66	50	58	0
8	Max Ellis	0			X		100.00	60	36	88	59	60	80	75	57	60	58	54	52	56	64	66	43	50	58	0
9	Jacob Melanson (R)	0			X		100.00	61	43	64	58	70	81	71	57	52	55	56	53	58	61	63	59	50	58	0
10	Riley Duran	0	X				100.00	63	37	94	55	72	77	60	56	63	57	58	54	56	62	64	49	50	58	0
11	Trevor Kuntar (R)	0	X	X			100.00	66	44	61	56	75	85	72	54	61	55	56	57	54	63	65	62	50	58	0
12	Dmitry Ovchinnikov (R)	0	X	X			100.00	56	36	95	61	65	68	63	57	55	53	60	54	59	63	64	57	50	57	0
13	Justin Hryckowian	0	X				100.00	60	43	63	57	69	71	61	56	61	55	54	53	56	63	65	44	50	56	0
14	Jared McIsaac	0				X	100.00	68	38	87	59	77	66	75	58	30	57	53	54	46	64	66	74	50	60	0
15	Joseph Duszak	0				X	100.00	56	40	70	62	65	71	70	58	30	65	56	55	49	67	69	37	50	60	0
16	Anton Malmstrom	0				X	100.00	77	38	84	55	86	62	64	54	30	53	52	57	45	64	66	43	50	59	0
17	Tyrel Bauer	0				X	100.00	76	46	60	53	85	64	79	52	30	54	53	56	45	62	64	49	50	59	0
18	Travis Mitchell	0				X	100.00	75	42	72	54	84	64	66	53	30	52	51	56	45	65	67	42	50	59	0

	TEAM AVERAGE					100.00	68	43	79	62	76	78	75	60	53	61	59	60	57	65	67	54	50	62

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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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Joseph Woll	100.00	85	80	76	86	84	83	85	84	83	85	84	66	75	64	50	80	0
2	Justus Annunen	100.00	80	85	81	88	79	78	80	79	78	80	79	64	71	65	50	77	0
3	Kevin Mandolese	100.00	74	78	75	82	73	72	74	73	72	74	73	64	71	58	50	72	0
Scratches
1	Matt Villalta	100.00	77	84	80	81	76	75	77	76	75	77	76	65	73	63	50	74	0
2	Matthew Murray	100.00	76	83	79	77	75	74	76	75	74	76	75	66	75	55	50	73	0
3	Joel Blomqvist (R)	100.00	74	79	75	77	73	72	74	73	72	74	73	62	67	72	50	71	0
4	Oskari Salminen	100.00	68	80	76	90	67	66	68	67	66	68	67	65	73	42	50	69	0
5	Anson Thornton	100.00	62	70	67	79	61	60	62	61	60	62	61	63	65	46	50	63	0

	TEAM AVERAGE	100.00	75	80	76	83	74	73	75	74	73	75	74	64	71	58	50	72

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bob Hartley	72	70	75	73	87	81	59	CAN	63	7	6,300,000$

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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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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
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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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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.
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#	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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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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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
Alex Barre-Boulet	C/LW/RW	27	1997-05-21	No	178 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Alex Beaucage	LW/RW	23	2001-07-25	No	192 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Alex Steeves	C/LW/RW	24	1999-12-10	No	196 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Anson Thornton	G	21	2003-06-28	No	180 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Anton Malmstrom	D	24	2000-03-18	No	200 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Austin Watson	C/LW/RW	32	1992-01-13	No	238 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	921,250$	0$	0$	No	Link / NHL Link
Ben McCartney	LW	23	2001-07-13	No	182 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cameron Butler	RW	22	2002-06-09	No	210 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Chase Wheatcroft	C	22	2002-05-28	No	192 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cole Koepke	LW	26	1998-05-17	No	203 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Danil Zhilkin	C	20	2003-12-19	Yes	192 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Dmitry Ovchinnikov	C/LW	22	2002-08-19	Yes	161 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	NHL Link
Egor Sokolov	LW/RW	24	2000-06-07	No	222 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Emil Lilleberg	D	23	2001-02-02	No	202 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Evgenii Dadonov	LW/RW	35	1989-03-12	No	185 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	1,740,000$	0$	0$	No	Link / NHL Link
Fabian Lysell	RW	21	2003-01-19	No	176 Lbs	5 ft10	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Fredrik Karlstrom	C	26	1998-01-12	No	200 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Georgii Merkulov	C/LW/RW	23	2000-10-10	No	176 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Griffin Mendel	D	25	1999-02-18	No	220 Lbs	6 ft6	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Gustav Lindstrom	D	25	1998-10-20	No	194 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Hardy Haman Aktell	D	26	1998-07-04	Yes	198 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jacob Melanson	RW	21	2003-04-22	Yes	190 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	NHL Link
Jakob Pelletier	C/LW	23	2001-03-07	No	170 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
James Malatesta	C/LW	21	2003-05-31	Yes	191 Lbs	5 ft9	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Jared McIsaac	D	24	2000-03-27	No	196 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	900,000$	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
Joel Blomqvist	G	22	2002-01-10	Yes	183 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Joseph Duszak	D	27	1997-07-22	No	176 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Joseph Woll	G	26	1998-07-12	No	202 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Josh Doan	C/RW	22	2002-02-01	No	183 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jujhar Khaira	C/LW	30	1994-08-13	No	212 Lbs	6 ft4	No	No	No	4	UFA	Pro & Farm	949,750$	0$	0$	No	Link / NHL Link
Justin Hryckowian	C	23	2001-02-23	No	194 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Justus Annunen	G	24	2000-03-11	No	210 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Kevin Mandolese	G	24	2000-08-22	No	180 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Leon Gawanke	D	25	1999-05-31	No	186 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Matt Villalta	G	25	1999-06-03	No	190 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Matthew Murray	G	26	1998-02-02	No	196 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Max Ellis	RW	24	2000-01-18	No	154 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Mikael Pyyhtia	C/LW	22	2001-12-17	Yes	166 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	NHL Link
Morgan Geekie	C/RW	26	1998-07-20	No	202 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Oliver Kylington	D	27	1997-05-19	No	183 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Oskari Salminen	G	25	1999-09-22	No	220 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Riley Duran	C	22	2002-01-25	No	174 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Travis Mitchell	D	24	1999-11-25	No	201 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Trevor Kuntar	C/LW	23	2001-06-20	Yes	205 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	NHL Link
Tyrel Bauer	D	22	2002-03-23	No	206 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
46	24.33	193 Lbs	6 ft1	2.33	465,457$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2	Alex Barre-Boulet			30	1	2	2
3				20	1	2	2
4				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			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2	Alex Barre-Boulet			40	1	2	2

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

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

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

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , , Alex Barre-Boulet

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

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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.
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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
8 - 2024-09-23	5	Silver Knights	-	Stars	-
9 - 2024-09-24	20	Silver Knights	-	Stars	-
15 - 2024-09-30	42	Wranglers	-	Silver Knights	-
16 - 2024-10-01	53	Wranglers	-	Silver Knights	-
20 - 2024-10-05	68	Barracuda	-	Silver Knights	-
22 - 2024-10-07	69	Barracuda	-	Silver Knights	-
24 - 2024-10-09	100	Silver Knights	-	Reign	-
29 - 2024-10-14	120	Reign	-	Silver Knights	-
30 - 2024-10-15	131	Silver Knights	-	Reign	-
37 - 2024-10-22	166	Silver Knights	-	Wranglers	-
38 - 2024-10-23	171	Silver Knights	-	Wranglers	-
43 - 2024-10-28	199	Roadrunners	-	Silver Knights	-
44 - 2024-10-29	214	Roadrunners	-	Silver Knights	-
48 - 2024-11-02	226	Reign	-	Silver Knights	-
50 - 2024-11-04	239	Canucks	-	Silver Knights	-
51 - 2024-11-05	253	Canucks	-	Silver Knights	-
57 - 2024-11-11	276	Silver Knights	-	Eagles	-
58 - 2024-11-12	282	Silver Knights	-	Eagles	-
61 - 2024-11-15	300	Silver Knights	-	Firebirds	-
65 - 2024-11-19	331	Stars	-	Silver Knights	-
66 - 2024-11-20	340	Stars	-	Silver Knights	-
69 - 2024-11-23	350	Silver Knights	-	Gulls	-
71 - 2024-11-25	359	Silver Knights	-	Roadrunners	-
72 - 2024-11-26	371	Silver Knights	-	Roadrunners	-
76 - 2024-11-30	394	Silver Knights	-	Condors	-
78 - 2024-12-02	406	Silver Knights	-	Wranglers	-
80 - 2024-12-04	424	Silver Knights	-	Wranglers	-
86 - 2024-12-10	439	Barracuda	-	Silver Knights	-
87 - 2024-12-11	454	Barracuda	-	Silver Knights	-
89 - 2024-12-13	464	Reign	-	Silver Knights	-
92 - 2024-12-16	479	Silver Knights	-	Condors	-
94 - 2024-12-18	498	Condors	-	Silver Knights	-
97 - 2024-12-21	507	Reign	-	Silver Knights	-
99 - 2024-12-23	521	Silver Knights	-	Canucks	-
100 - 2024-12-24	535	Silver Knights	-	Canucks	-
105 - 2024-12-29	557	Silver Knights	-	Firebirds	-
107 - 2024-12-31	575	Silver Knights	-	Reign	-
109 - 2025-01-02	590	Silver Knights	-	Roadrunners	-
111 - 2025-01-04	592	Silver Knights	-	Roadrunners	-
113 - 2025-01-06	611	Eagles	-	Silver Knights	-
114 - 2025-01-07	625	Eagles	-	Silver Knights	-
118 - 2025-01-11	642	Silver Knights	-	Condors	-
120 - 2025-01-13	660	Silver Knights	-	Barracuda	-
121 - 2025-01-14	672	Silver Knights	-	Barracuda	-
127 - 2025-01-20	688	Wranglers	-	Silver Knights	-
128 - 2025-01-21	702	Wranglers	-	Silver Knights	-
132 - 2025-01-25	719	Firebirds	-	Silver Knights	-
135 - 2025-01-28	739	Roadrunners	-	Silver Knights	-
136 - 2025-01-29	750	Roadrunners	-	Silver Knights	-
139 - 2025-02-01	765	Condors	-	Silver Knights	-
141 - 2025-02-03	774	Silver Knights	-	Admirals	-
142 - 2025-02-04	783	Silver Knights	-	Admirals	-
146 - 2025-02-08	813	Firebirds	-	Silver Knights	-
149 - 2025-02-11	837	Silver Knights	-	Barracuda	-
150 - 2025-02-12	844	Silver Knights	-	Barracuda	-
156 - 2025-02-18	873	Eagles	-	Silver Knights	-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19	888	Eagles	-	Silver Knights	-
163 - 2025-02-25	922	Silver Knights	-	Firebirds	-
164 - 2025-02-26	931	Silver Knights	-	Reign	-
167 - 2025-03-01	944	Silver Knights	-	Firebirds	-
169 - 2025-03-03	955	Gulls	-	Silver Knights	-
170 - 2025-03-04	959	Gulls	-	Silver Knights	-
176 - 2025-03-10	1000	Admirals	-	Silver Knights	-
177 - 2025-03-11	1015	Admirals	-	Silver Knights	-
183 - 2025-03-17	1048	Firebirds	-	Silver Knights	-
184 - 2025-03-18	1060	Firebirds	-	Silver Knights	-
188 - 2025-03-22	1077	Condors	-	Silver Knights	-
190 - 2025-03-24	1087	Silver Knights	-	Eagles	-
191 - 2025-03-25	1104	Silver Knights	-	Eagles	-
195 - 2025-03-29	1122	Silver Knights	-	Gulls	-
197 - 2025-03-31	1135	Silver Knights	-	Condors	-
198 - 2025-04-01	1150	Condors	-	Silver Knights	-

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
65,453$	214,110$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	2,137$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	197	32,734$	6,448,598$

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
Regular Season
13	76	54	17	0	0	1	2	2	284	159	125	38	26	9	0	0	1	0	2	140	79	61	38	28	8	0	0	0	2	0	144	80	64	115	284	494	778	0	11	0	90	95	97	2285	0	743	747	781	1672	502	910	1386	427	89	20.84%	397	53	86.65%	6	1551	2438	63.62%	1247	2173	57.39%	643	1095	58.72%	2042	1510	1675	508	862	444
14	76	48	17	0	2	4	1	4	257	144	113	38	24	6	0	2	3	1	2	128	68	60	38	24	11	0	0	1	0	2	129	76	53	110	257	478	735	0	7	0	104	70	80	2275	0	738	744	773	1592	516	857	1283	345	68	19.71%	358	35	90.22%	5	1471	2363	62.25%	1216	2029	59.93%	653	1096	59.58%	2168	1605	1540	507	894	477
15	82	50	20	0	3	3	2	4	293	180	113	41	29	5	0	2	2	1	2	169	91	78	41	21	15	0	1	1	1	2	124	89	35	117	293	533	826	1	13	0	123	92	73	2568	0	851	819	871	2117	600	989	1460	416	81	19.47%	393	51	87.02%	2	1482	2565	57.78%	1376	2561	53.73%	642	1185	54.18%	2106	1537	1903	564	948	482
16	82	51	21	0	3	2	3	2	243	129	114	41	29	9	0	0	1	2	0	130	63	67	41	22	12	0	3	1	1	2	113	66	47	118	243	406	649	0	19	0	79	86	72	2209	0	701	782	710	1825	551	888	1554	401	81	20.20%	373	43	88.47%	1	1199	2428	49.38%	1038	2367	43.85%	521	1060	49.15%	2178	1605	1843	536	932	488
17	72	42	22	0	4	1	2	1	308	179	129	36	23	10	0	2	0	1	0	169	88	81	36	19	12	0	2	1	1	1	139	91	48	98	308	477	785	0	9	0	128	99	75	2567	0	841	868	848	1971	571	773	1545	375	78	20.80%	336	53	84.23%	2	1036	2299	45.06%	903	2181	41.40%	517	1104	46.83%	1905	1439	1666	462	772	386
18	72	53	14	0	2	3	0	0	319	182	137	36	27	6	0	2	1	0	0	166	90	76	36	26	8	0	0	2	0	0	153	92	61	113	319	569	888	0	12	0	142	93	82	2721	0	896	916	895	2157	590	663	1456	341	66	19.35%	270	34	87.41%	1	1074	2217	48.44%	927	2091	44.33%	532	1111	47.88%	1954	1489	1608	432	770	399
Total Regular Season	460	298	111	0	14	14	10	13	1704	973	731	230	158	45	0	8	8	5	6	902	479	423	230	140	66	0	6	6	5	7	802	494	308	671	1704	2957	4661	1	71	0	666	535	479	14625	0	4770	4876	4878	11334	3330	5080	8684	2305	463	20.09%	2127	269	87.35%	17	7813	14310	54.60%	6707	13402	50.04%	3508	6651	52.74%	12355	9189	10237	3011	5181	2679
Playoff
13	19	12	7	0	0	0	0	0	58	45	13	10	7	3	0	0	0	0	0	35	21	14	9	5	4	0	0	0	0	0	23	24	-1	24	58	96	154	0	1	0	25	17	15	504	0	173	154	164	442	130	327	335	137	18	13.14%	124	18	85.48%	0	341	606	56.27%	295	561	52.58%	153	278	55.04%	471	338	478	142	221	105
14	20	11	9	0	0	0	0	0	40	32	8	11	7	4	0	0	0	0	0	22	14	8	9	4	5	0	0	0	0	0	18	18	0	22	40	74	114	1	2	0	17	5	16	494	0	150	136	188	384	111	224	339	116	14	12.07%	91	10	89.01%	1	308	632	48.73%	308	571	53.94%	129	254	50.79%	529	376	459	150	251	130
15	14	9	5	0	0	0	0	0	38	24	14	8	6	2	0	0	0	0	0	21	13	8	6	3	3	0	0	0	0	0	17	11	6	18	38	68	106	1	3	0	19	9	10	350	0	117	117	116	263	73	151	232	87	17	19.54%	64	6	90.63%	0	261	433	60.28%	215	383	56.14%	114	188	60.64%	352	245	322	105	171	88
16	6	2	4	0	0	0	0	0	11	14	-3	3	2	1	0	0	0	0	0	8	7	1	3	0	3	0	0	0	0	0	3	7	-4	4	11	15	26	0	0	0	2	3	6	147	0	44	39	49	149	48	57	112	39	8	20.51%	24	6	75.00%	0	79	206	38.35%	61	198	30.81%	35	90	38.89%	148	102	173	51	81	39
17	5	1	4	0	0	0	0	0	15	22	-7	2	0	2	0	0	0	0	0	6	9	-3	3	1	2	0	0	0	0	0	9	13	-4	2	15	19	34	0	0	0	10	2	3	137	0	43	33	54	194	47	56	86	38	5	13.16%	27	5	81.48%	0	57	169	33.73%	50	188	26.60%	19	78	24.36%	116	83	152	39	57	26
18	4	0	4	0	0	0	0	0	3	15	-12	2	0	2	0	0	0	0	0	1	8	-7	2	0	2	0	0	0	0	0	2	7	-5	0	3	4	7	0	0	0	2	1	0	59	0	15	30	14	136	53	45	57	28	1	3.57%	13	3	76.92%	0	22	96	22.92%	22	116	18.97%	14	62	22.58%	57	35	137	30	45	17
Total Playoff	68	35	33	0	0	0	0	0	165	152	13	36	22	14	0	0	0	0	0	93	72	21	32	13	19	0	0	0	0	0	72	80	-8	70	165	276	441	2	6	0	75	37	50	1691	0	542	509	585	1568	462	860	1161	445	63	14.16%	343	48	86.01%	1	1068	2142	49.86%	951	2017	47.15%	464	950	48.84%	1675	1183	1724	519	830	407