LHSDB - Ligue de hockey simulee des debiles barbus

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	Brendan Gaunce	0	X				100.00	76	42	79	68	87	86	77	67	84	68	66	67	71	69	71	65	50	67	0
2	Hudson Fasching	0			X		100.00	73	39	92	65	84	81	84	63	57	62	66	61	63	68	69	49	50	65	0
3	Riley Barber	0			X		100.00	64	38	82	65	75	89	83	66	65	61	64	60	65	69	71	40	50	64	0
4	Otto Koivula	0		X			100.00	79	65	80	63	94	75	82	64	60	65	58	62	60	65	67	56	50	64	0
5	Max Jones	0		X			100.00	74	49	66	65	87	81	73	62	57	63	64	56	63	66	68	78	50	63	0
6	Tanner Kero	0	X				100.00	61	38	87	62	71	78	82	64	77	65	58	61	60	71	73	34	50	63	0
7	Grigori Denisenko	0		X			100.00	63	38	84	66	70	82	79	63	64	65	58	61	66	63	65	83	50	63	0
8	Givani Smith	0			X		100.00	78	83	51	60	83	74	79	62	57	59	60	61	58	65	67	71	50	62	0
9	John Beecher	0	X				100.00	76	40	85	59	85	79	72	58	63	57	58	60	56	62	64	78	50	61	0
10	Tyler Madden	0	X				100.00	63	35	94	61	63	84	82	60	64	58	61	55	60	64	66	65	50	61	0
11	Cross Hanas	0		X			100.00	63	39	77	60	72	83	64	59	60	58	61	57	62	61	63	71	50	60	0
12	Noah Philp	0		X			100.00	74	41	74	57	83	75	73	56	62	57	58	60	57	65	67	42	50	60	0
13	Filip Cederqvist	0		X			100.00	74	40	82	56	83	77	69	54	60	56	57	58	56	63	65	55	50	59	0
14	Jake Christiansen	0				X	100.00	63	40	80	61	73	88	87	63	30	64	59	62	50	64	66	43	50	64	0
15	Jacob Larsson	0				X	100.00	67	40	75	66	79	78	83	62	30	63	58	61	50	66	68	76	50	64	0
16	Dan Renouf	0				X	100.00	67	41	72	60	77	78	83	57	30	59	58	61	49	69	71	36	50	63	0
17	Sean Day	0				X	100.00	77	40	83	59	87	74	85	56	30	55	50	62	46	65	67	62	50	63	0
18	Louie Belpedio	0				X	100.00	62	41	67	57	71	77	86	56	30	58	56	59	47	67	69	55	50	61	0
19	Scott Perunovich	0				X	100.00	56	36	85	67	65	81	70	65	30	66	53	56	49	65	67	71	50	61	0
20	Patrick Sieloff	0				X	100.00	69	42	70	54	78	66	73	53	30	55	51	56	45	69	71	60	50	59	0
21	Josh Brook	0				X	100.00	65	41	72	56	74	72	62	55	30	58	53	54	46	64	66	67	50	58	0
Scratches
1	Ryan Fitzgerald	0		X			100.00	55	36	95	52	64	68	62	51	58	52	53	50	52	69	71	47	50	54	0
2	Ville Koivunen	0	X				100.00	56	36	94	51	65	77	60	50	57	51	50	52	50	60	62	73	50	54	0
3	Eemil Viro	0				X	100.00	58	37	91	53	67	63	68	52	30	54	52	51	45	61	63	67	50	55	0

	TEAM AVERAGE					100.00	67	42	80	60	77	78	76	59	51	60	58	58	55	65	67	60	50	61

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	Eric Comrie	100.00	79	71	72	74	78	77	79	78	77	79	78	68	81	57	50	74	0
2	Hugo Alnefelt	100.00	71	64	65	76	70	69	71	70	69	71	70	62	67	66	50	68	0
Scratches
1	Calle Clang	100.00	68	55	56	79	67	66	68	67	66	68	67	61	65	66	50	65	0

	TEAM AVERAGE	100.00	73	63	64	76	72	71	73	72	71	73	72	64	71	63	50	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Charlie Huddy	68	72	70	69	94	87	51	CAN	64	6	1,000,000$

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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	FW	FT	S1	S2	S3
1	Riley Barber	Eagles (Col)	RW	4	1	4	5	3	2	0	4	5	19	12	20	5.26%	0	72	18.18	0	1	1	1	12	0	0	1	0	100.00%	2	1.38	0	0	1	0	0
2	Jake Christiansen	Eagles (Col)	D	4	3	2	5	5	7	5	5	4	7	2	7	42.86%	4	90	22.75	1	0	1	3	9	0	24	1	0	0.00%	0	1.10	1	0	1	0	0
3	Grigori Denisenko	Eagles (Col)	LW	4	2	2	4	3	2	0	3	9	11	3	6	18.18%	1	62	15.65	0	0	0	0	1	2	9	0	1	68.75%	16	1.28	0	0	1	0	1
4	Steven Santini	Colorado Avalanche	D	3	0	4	4	4	4	0	3	3	1	3	3	0.00%	1	65	21.81	0	1	1	1	6	0	15	0	0	0.00%	0	1.22	0	0	0	0	0
5	Hudson Fasching	Eagles (Col)	RW	4	2	1	3	4	4	0	3	4	21	6	17	9.52%	0	65	16.32	1	0	1	3	6	0	0	0	0	50.00%	4	0.92	0	0	0	1	0
6	John Beecher	Eagles (Col)	C	4	1	2	3	3	10	0	9	5	17	6	14	5.88%	1	84	21.16	0	0	0	1	10	0	14	0	0	76.47%	85	0.71	0	0	0	1	1
7	Tanner Kero	Eagles (Col)	C	4	2	1	3	4	4	0	2	5	10	5	17	20.00%	0	92	23.12	0	1	1	0	6	0	25	1	0	81.97%	122	0.65	0	0	0	1	0
8	Jacob Larsson	Eagles (Col)	D	4	0	3	3	1	2	0	3	3	4	2	6	0.00%	1	76	19.10	0	1	1	0	7	0	18	0	0	0.00%	0	0.79	0	0	0	0	0
9	Givani Smith	Eagles (Col)	RW	4	2	1	3	3	17	5	7	3	13	2	7	15.38%	0	51	12.89	0	0	0	0	0	0	0	1	0	0.00%	0	1.16	0	1	0	0	0
10	Dan Renouf	Eagles (Col)	D	4	1	1	2	1	4	0	7	3	8	1	2	12.50%	2	75	18.77	0	1	1	0	7	0	18	0	1	0.00%	0	0.53	0	0	0	0	0
11	Tyler Madden	Eagles (Col)	C	4	0	2	2	3	0	0	1	8	8	3	3	0.00%	0	51	12.81	0	0	0	0	0	0	1	0	0	83.33%	36	0.78	0	0	0	0	1
12	Scott Perunovich	Eagles (Col)	D	4	1	1	2	2	2	0	2	0	1	0	1	100.00%	0	31	7.95	1	0	1	1	1	0	5	0	0	0.00%	0	1.26	0	0	0	1	0
13	Louie Belpedio	Eagles (Col)	D	4	0	1	1	2	2	0	2	2	2	1	3	0.00%	3	44	11.18	0	0	0	0	0	0	0	0	0	0.00%	0	0.45	0	0	0	0	0
14	Otto Koivula	Eagles (Col)	LW	4	0	1	1	2	9	5	6	2	9	5	11	0.00%	0	78	19.62	0	0	0	0	6	2	21	0	0	80.00%	5	0.25	1	0	0	0	0
15	Cross Hanas	Eagles (Col)	LW	4	0	0	0	2	0	0	1	0	3	1	0	0.00%	0	13	3.50	0	0	0	0	0	1	2	0	0	100.00%	1	0.00	0	0	0	0	0
16	Patrick Sieloff	Eagles (Col)	D	4	0	0	0	2	2	0	5	0	0	0	0	0.00%	0	24	6.04	0	0	0	0	0	0	1	0	0	0.00%	0	0.00	0	0	0	0	0
17	Sean Day	Eagles (Col)	D	4	0	0	0	2	4	0	2	1	0	1	1	0.00%	1	44	11.18	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0
Team Total or Average				67	15	26	41	46	75	15	65	57	134	53	118	11.19%	14	1026	15.32	3	5	8	10	76	5	158	4	2	79.34%	271	0.80	2	1	3	4	3

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Eric Comrie	Eagles (Col)	4	4	0	0	0.949	0.75	240	0	2	3	59	0	1	0	0.000	0	4	0	0	0	0
Team Total or Average			4	4	0	0	0.949	0.75	240	0	2	3	59	0	1	0	0.000	0	4	0	0	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

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
Brendan Gaunce	C	30	1994-03-25	No	219 Lbs	6 ft3	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Calle Clang	G	21	2002-05-20	No	194 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Cross Hanas	LW	22	2002-01-05	No	171 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dan Renouf	D	29	1994-06-01	No	198 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Eemil Viro	D	22	2002-04-03	No	165 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Eric Comrie	G	28	1995-07-06	No	183 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Filip Cederqvist	LW	23	2000-08-23	No	196 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Givani Smith	RW	26	1998-02-27	No	214 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Grigori Denisenko	LW	23	2000-06-24	No	186 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Hudson Fasching	RW	28	1995-07-28	No	204 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Hugo Alnefelt	G	22	2001-06-04	No	177 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jacob Larsson	D	27	1997-04-29	No	193 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Jake Christiansen	D	24	1999-09-12	No	193 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
John Beecher	C	23	2001-04-05	No	210 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Josh Brook	D	24	1999-06-17	No	182 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Louie Belpedio	D	27	1996-05-14	No	191 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Max Jones	LW	26	1998-02-17	No	216 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Noah Philp	LW	25	1998-08-31	No	198 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Otto Koivula	LW	25	1998-09-01	No	225 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Patrick Sieloff	D	29	1994-05-15	No	205 Lbs	6 ft1	No	No	No	4	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Riley Barber	RW	30	1994-02-07	No	199 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Ryan Fitzgerald	LW	29	1994-10-19	No	172 Lbs	5 ft9	No	No	No	4	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Scott Perunovich	D	25	1998-08-18	No	175 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Sean Day	D	26	1998-01-09	No	218 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Tanner Kero	C	31	1992-07-24	No	185 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Tyler Madden	C	24	1999-11-09	No	152 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Ville Koivunen	C	20	2003-06-13	No	161 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	25.52	192 Lbs	6 ft1	2.63	492,593$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Otto Koivula	Tanner Kero	Hudson Fasching	40	1	2	2
2		John Beecher	Riley Barber	30	1	2	2
3	Grigori Denisenko	Tyler Madden	Givani Smith	20	1	2	2
4	Cross Hanas	Tanner Kero	Hudson Fasching	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jake Christiansen	40	1	2	2
2	Jacob Larsson	Dan Renouf	30	1	2	2
3	Sean Day	Louie Belpedio	20	1	2	2
4	Scott Perunovich	Patrick Sieloff	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Otto Koivula	Tanner Kero	Hudson Fasching	60	1	2	2
2		John Beecher	Riley Barber	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jake Christiansen	60	1	2	2
2	Jacob Larsson	Dan Renouf	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tanner Kero	Otto Koivula	60	1	2	2
2	John Beecher		40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jake Christiansen	60	1	2	2
2	Jacob Larsson	Dan Renouf	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Tanner Kero	60	1	2	2		Jake Christiansen	60	1	2	2
2	John Beecher	40	1	2	2	Jacob Larsson	Dan Renouf	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tanner Kero	Otto Koivula	60	1	2	2
2	John Beecher		40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jake Christiansen	60	1	2	2
2	Jacob Larsson	Dan Renouf	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Otto Koivula	Tanner Kero	Hudson Fasching		Jake Christiansen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Otto Koivula	Tanner Kero	Hudson Fasching		Jake Christiansen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Grigori Denisenko, Tanner Kero, Givani Smith	Grigori Denisenko, Tanner Kero	Grigori Denisenko

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Scott Perunovich, Patrick Sieloff, Josh Brook	Scott Perunovich	Scott Perunovich, Patrick Sieloff

Penalty Shots
Hudson Fasching, Riley Barber, Otto Koivula, , Grigori Denisenko

Goalie
#1 : Eric Comrie, #2 : Hugo Alnefelt

Custom OT Lines Forwards
Hudson Fasching, Riley Barber, Otto Koivula, , Grigori Denisenko, Tanner Kero, Tanner Kero, Givani Smith, John Beecher, Tyler Madden, Cross Hanas

Custom OT Lines Defensemen
, Jake Christiansen, Jacob Larsson, Dan Renouf, Sean Day

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	8	W4	15	26	41	136	59	14	75	65	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	15	3

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

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	8	1

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	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
13	3	23.08%	28	1	96.43%	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
52	48	36	0	5	5	5	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
94	116	81.03%	74	96	77.08%	48	62	77.42%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
137	106	57	21	45	27

Last Played Games 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

Day	Game	Visitor Team	Score	Home Team	Score	ST	Link
2 - 2024-04-21	7	Silver Knights	2	Eagles	3	W	BoxScore
4 - 2024-04-23	15	Silver Knights	0	Eagles	4	W	BoxScore
6 - 2024-04-25	23	Eagles	4	Silver Knights	1	W	BoxScore
8 - 2024-04-27	31	Eagles	4	Silver Knights	0	W	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	3,892	1,957
Attendance PCT	97.30%	97.85%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
34	2925 - 97.48%	72,853$	145,706$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	133,000$	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$	5	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
18	4	4	0	0	0	0	0	0	15	3	12	2	2	0	0	0	0	0	0	7	2	5	2	2	0	0	0	0	0	0	8	1	7	8	15	26	41	0	2	5	5	5	0	136	52	48	36	0	59	14	75	65	13	3	23.08%	28	1	96.43%	0	94	116	81.03%	74	96	77.08%	48	62	77.42%	137	106	57	21	45	27
Total Playoff	4	4	0	0	0	0	0	0	15	3	12	2	2	0	0	0	0	0	0	7	2	5	2	2	0	0	0	0	0	0	8	1	7	8	15	26	41	0	2	5	5	5	0	136	52	48	36	0	59	14	75	65	13	3	23.08%	28	1	96.43%	0	94	116	81.03%	74	96	77.08%	48	62	77.42%	137	106	57	21	45	27