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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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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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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	Adam Edstrom	0	X				100.00	86	53	86	62	99	79	80	63	65	60	61	64	62	65	67	0	75	65	0
2	Vinni Lettieri	0	X		X		100.00	70	36	87	65	67	84	85	66	73	64	67	63	66	70	72	0	75	65	0
3	Kailer Yamamoto	0		X	X		100.00	62	38	85	69	65	80	83	68	72	67	65	63	71	69	68	0	75	65	0
4	Nathan Bastian (R)	0			X		100.00	81	76	82	65	87	77	81	63	58	62	61	64	55	69	71	0	75	65	0
5	Jakob Pelletier (R)	0		X			100.00	69	35	92	67	63	81	78	66	71	68	63	62	67	64	65	0	75	64	0
6	Matthew Phillips (R)	0	X		X		100.00	59	34	95	65	60	80	79	63	67	64	60	61	65	67	69	0	75	63	0
7	Cam Lund (R)	0	X				100.00	61	36	89	65	79	78	61	64	70	61	62	63	65	60	61	0	75	62	0
8	Gemel Smith (R)	0	X				100.00	62	44	61	60	71	77	64	62	71	64	58	57	60	71	73	0	75	61	0
9	Kaleb Lawrence (R)	0	X				100.00	90	69	61	56	99	67	63	55	58	52	59	63	57	62	64	0	75	61	0
10	Jack Thompson (R)	0				X	100.00	64	37	92	66	75	84	83	65	30	67	63	62	54	63	65	0	75	65	0
11	Kevin Gravel	0				X	100.00	76	39	89	61	87	83	84	59	30	64	56	63	49	73	75	0	75	64	0
12	Tyler Tucker (R)	0				X	100.00	77	66	61	65	78	81	76	64	30	62	61	68	52	65	67	0	75	64	0
13	Cade Webber (R)	0				X	100.00	89	53	81	58	98	63	70	56	30	54	52	61	45	64	66	0	75	61	0
Scratches
1	Jiri Kulich (R)	0			X		98.73	65	37	89	73	75	85	83	67	71	62	69	65	68	61	64	0	75	66	0
2	Cole Guttman (R)	0	X				100.00	62	37	83	66	63	88	86	64	72	65	63	62	64	66	69	0	75	64	0
3	Jonathan Lekkerimaki (R)	0			X		100.00	61	35	95	68	67	86	72	66	59	63	67	62	72	63	66	0	75	64	0
4	Isaac Ratcliffe (R)	0		X			100.00	83	47	70	56	92	70	74	55	57	54	55	58	56	66	68	0	75	60	0
5	Jett Luchanko (R)	0	X				100.00	65	39	75	66	68	81	61	63	72	60	50	64	65	60	62	0	75	60	0
6	Niko Huuhtanen (R)	0			X		100.00	74	42	72	59	83	81	69	56	61	57	58	59	56	62	64	0	75	60	0
7	Sandis Vilmanis (R)	0		X			100.00	67	37	94	58	76	75	71	57	61	59	56	55	61	63	61	0	75	60	0
8	Graham Slaggert (R)	0	X				100.00	60	39	79	56	69	72	81	55	61	56	57	58	55	66	68	0	75	59	0
9	Robert Mastrosimone (R)	0		X			100.00	55	38	79	56	64	77	78	54	60	55	57	52	58	64	66	0	75	58	0
10	Josh Filmon (R)	0		X			100.00	59	36	94	53	69	63	61	52	55	51	50	54	53	61	63	0	75	56	0
11	Dylan McIlrath	0				X	100.00	86	82	60	62	97	76	74	59	30	66	58	65	49	73	75	0	75	64	0
12	Grant Hutton	0				X	100.00	74	41	79	60	85	78	79	61	30	63	58	62	50	70	72	0	75	63	0
13	Jack Millar	0				X	100.00	84	42	91	54	93	66	71	53	30	56	50	60	45	65	67	0	75	60	0
14	Jake Livingstone (R)	0				X	100.00	75	41	80	57	84	67	84	56	30	55	54	58	46	66	68	0	75	60	0
15	Corson Ceulemans (R)	0				X	100.00	71	40	84	58	80	71	74	56	30	55	53	57	45	62	64	0	75	59	0
16	Jackson Edward (R)	0				X	100.00	70	39	86	54	79	63	65	53	30	56	52	55	45	61	63	0	75	58	0
17	Jake Furlong (R)	0				X	100.00	66	38	92	55	75	64	71	54	30	53	52	55	46	61	63	0	75	58	0
18	Joakim Ryan (R)	0				X	100.00	58	37	93	56	69	64	70	54	30	53	52	55	47	72	74	0	75	58	0
19	Thomas Miller (R)	0				X	100.00	68	38	91	54	77	64	74	53	30	52	51	55	45	66	68	0	75	58	0

	TEAM AVERAGE					99.96	70	44	83	61	78	75	75	59	51	59	58	60	56	65	67	0	75	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	Ville Husso	100.00	80	81	76	84	79	78	80	79	78	80	79	72	84	0	75	69	0
2	Dennis Hildeby (R)	100.00	77	86	82	98	76	75	77	76	75	77	76	64	71	0	75	67	0
Scratches
1	Mads Sogaard	100.00	73	80	76	98	72	71	73	72	71	73	72	65	73	0	75	65	0

	TEAM AVERAGE	100.00	77	82	78	93	76	75	77	76	75	77	76	67	76	0	75	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ben Simon	66	63	64	75	69	65	80	USA	46	2	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	P/20	FW	FL	FT	S1	S2	S3
1	Jiri Kulich	Comets (VAN)	RW	8	6	11	17	9	4	0	6	25	39	15	32	15.38%	7	212	26.54	1	2	3	3	14	1	1	2	1	27	0	0	54.55%	77	1.60	0	0	0	1	2	0
2	Vinni Lettieri	Comets (VAN)	C/RW	9	4	9	13	7	8	0	23	45	30	10	28	13.33%	2	213	23.68	1	3	4	5	19	0	0	0	0	10	0	1	53.47%	288	1.22	0	0	0	2	1	0
3	Kailer Yamamoto	Comets (VAN)	LW/RW	9	6	7	13	6	7	5	11	15	43	11	23	13.95%	2	204	22.71	1	3	4	4	19	0	0	0	0	3	0	1	50.00%	16	1.27	0	0	1	1	1	1
4	Matthew Phillips	Comets (VAN)	C/RW	8	4	4	8	0	0	0	12	15	31	2	19	12.90%	2	150	18.81	0	0	0	0	0	0	0	0	0	0	1	0	29.17%	24	1.06	0	0	0	0	0	1
5	Kevin Gravel	Comets (VAN)	D	9	1	7	8	7	17	5	31	13	9	7	11	11.11%	26	232	25.85	1	2	3	1	18	0	0	0	0	19	0	0	0.00%	0	0.69	0	0	1	0	0	1
6	Tyler Tucker	Comets (VAN)	D	8	2	6	8	0	8	0	12	12	4	5	14	50.00%	11	178	22.32	1	1	2	0	13	1	0	1	1	19	1	0	0.00%	0	0.90	0	0	0	0	1	0
7	Jack Thompson	Comets (VAN)	D	8	3	4	7	6	11	5	12	11	12	3	15	25.00%	15	224	28.12	2	0	2	7	18	0	0	0	0	21	1	0	0.00%	0	0.62	0	1	0	0	0	1
8	Nathan Bastian	Comets (VAN)	RW	8	3	2	5	1	7	5	19	16	34	12	22	8.82%	3	199	24.99	1	0	1	5	15	0	1	1	1	30	0	0	56.25%	16	0.50	1	0	0	0	0	1
9	Adam Edstrom	Comets (VAN)	C	8	2	2	4	-3	6	0	21	22	37	3	22	5.41%	3	169	21.23	1	1	2	8	15	0	0	0	1	11	0	0	52.17%	184	0.47	0	0	0	0	0	1
10	Cole Guttman	Comets (VAN)	C	6	3	1	4	-2	0	0	9	9	21	10	16	14.29%	0	92	15.39	0	0	0	0	0	0	0	0	0	0	1	0	51.85%	108	0.87	0	0	0	1	0	0
11	Jonathan Lekkerimaki	Comets (VAN)	RW	6	0	4	4	0	4	0	1	9	20	4	9	0.00%	2	89	14.97	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	0.89	0	0	0	0	0	0
12	Jakob Pelletier	Comets (VAN)	LW	9	1	3	4	-3	0	0	8	14	28	12	22	3.57%	2	175	19.48	0	2	2	7	15	0	0	0	0	0	0	0	46.15%	13	0.46	0	0	0	1	0	0
13	Cade Webber	Comets (VAN)	D	8	0	3	3	-4	2	0	30	8	7	3	5	0.00%	6	157	19.72	0	0	0	1	3	0	1	1	0	13	0	0	0.00%	0	0.38	0	0	0	0	0	0
14	Dylan McIlrath	Comets (VAN)	D	5	0	2	2	-3	10	0	11	5	3	1	5	0.00%	12	103	20.75	0	1	1	0	7	0	1	1	0	14	0	0	0.00%	0	0.39	0	0	0	0	0	0
15	Cam Lund	Comets (VAN)	C	9	0	1	1	-2	0	0	1	5	11	1	7	0.00%	0	33	3.77	0	1	1	0	1	0	0	0	0	2	0	0	46.15%	26	0.59	0	0	0	0	0	0
16	Grant Hutton	Comets (VAN)	D	1	0	1	1	1	0	0	0	0	0	0	0	0.00%	1	11	11.52	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1.74	0	0	0	0	0	0
17	Kaleb Lawrence	Comets (VAN)	C	9	0	1	1	0	0	0	1	0	2	0	2	0.00%	0	16	1.81	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1.23	0	0	0	0	0	0
18	Gemel Smith	Comets (VAN)	C	9	0	0	0	0	0	0	0	0	0	0	2	0.00%	0	20	2.33	0	0	0	0	0	0	0	0	0	14	0	0	57.14%	14	0.00	0	0	0	0	0	0
Team Total or Average				137	35	68	103	20	84	20	208	224	331	99	254	10.57%	94	2487	18.16	9	16	25	41	165	2	4	6	4	190	4	2	52.02%	769	0.83	1	1	2	6	5	6

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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	GA	SA	A	ST	BG
1	Ville Husso	Comets (VAN)	8	4	2	2	0.891	3.21	542	2	29	266	1	8	0
2	Dennis Hildeby	Comets (VAN)	1	1	0	0	0.919	2.90	62	0	3	37	0	1	8
Team Total or Average			9	5	2	2	0.894	3.18	604	2	32	303	1	9	8

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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 Edstrom	C	24	2000-10-12	No	241 Lbs	6 ft7	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Cade Webber	D	24	2001-01-05	Yes	212 Lbs	6 ft7	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Cam Lund	C	21	2004-06-07	Yes	195 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Cole Guttman	C	26	1999-04-06	Yes	167 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Corson Ceulemans	D	22	2003-05-05	Yes	198 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Dennis Hildeby	G	24	2001-08-19	Yes	224 Lbs	6 ft7	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Dylan McIlrath	D	33	1992-04-20	No	240 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Gemel Smith	C	31	1994-04-16	Yes	203 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Graham Slaggert	C	26	1999-04-06	Yes	183 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Grant Hutton	D	30	1995-07-25	No	210 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Isaac Ratcliffe	LW	26	1999-02-15	Yes	200 Lbs	6 ft6	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Jack Millar	D	24	2000-11-30	No	220 Lbs	6 ft5	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jack Thompson	D	23	2002-04-19	Yes	189 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jackson Edward	D	21	2004-02-27	Yes	193 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jake Furlong	D	21	2004-03-04	Yes	189 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jake Livingstone	D	26	1999-04-16	Yes	205 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jakob Pelletier	LW	24	2001-03-07	Yes	170 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Jett Luchanko	C	19	2006-08-21	Yes	180 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jiri Kulich	RW	21	2004-04-14	Yes	190 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Joakim Ryan	D	32	1993-06-17	Yes	185 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jonathan Lekkerimaki	RW	21	2004-07-24	Yes	172 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Josh Filmon	LW	21	2004-03-18	Yes	158 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Kailer Yamamoto (1 Way Contract)	LW/RW	27	1998-09-29	No	178 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	1,700,000$	1,700,000$	121,429$	No	Link / NHL Link
Kaleb Lawrence	C	22	2003-01-10	Yes	230 Lbs	6 ft7	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Kevin Gravel	D	33	1992-03-06	No	205 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Mads Sogaard	G	24	2000-12-13	No	217 Lbs	6 ft7	No	No	No	2	RFA	Pro & Farm	964,000$	0$	0$	No	Link / NHL Link
Matthew Phillips	C/RW	27	1998-04-06	Yes	160 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Nathan Bastian	RW	27	1997-12-06	Yes	205 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Niko Huuhtanen	RW	22	2003-06-26	Yes	198 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Robert Mastrosimone	LW	24	2001-01-24	Yes	170 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Sandis Vilmanis	LW	21	2004-01-23	Yes	192 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Thomas Miller	D	26	1999-03-06	Yes	181 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Tyler Tucker	D	25	2000-03-01	Yes	204 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	868,000$	0$	0$	No	Link / NHL Link
Ville Husso (1 Way Contract)	G	30	1995-02-06	No	205 Lbs	6 ft3	No	No	Yes	1	UFA	Pro & Farm	3,000,000$	3,000,000$	214,286$	No	Link / NHL Link
Vinni Lettieri	C/RW	30	1995-02-06	No	184 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
35	25.09	196 Lbs	6 ft2	2.03	1,028,771$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kailer Yamamoto	Vinni Lettieri		40	1	2	2
2	Jakob Pelletier	Adam Edstrom	Nathan Bastian	30	1	2	2
3	Matthew Phillips			20	1	2	2
4		Matthew Phillips	Nathan Bastian	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Thompson	Kevin Gravel	40	1	2	2
2	Tyler Tucker		30	1	2	2
3		Cade Webber	20	1	2	2
4	Jack Thompson	Kevin Gravel	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kailer Yamamoto	Vinni Lettieri		60	1	2	2
2	Jakob Pelletier	Adam Edstrom	Nathan Bastian	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Thompson	Kevin Gravel	60	1	2	2
2	Tyler Tucker		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Nathan Bastian	60	1	2	2
2	Vinni Lettieri	Adam Edstrom	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Thompson	Kevin Gravel	60	1	2	2
2	Tyler Tucker		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	Jack Thompson	Kevin Gravel	60	1	2	2
2	Nathan Bastian	40	1	2	2	Tyler Tucker		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Nathan Bastian	60	1	2	2
2	Vinni Lettieri	Adam Edstrom	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Thompson	Kevin Gravel	60	1	2	2
2	Tyler Tucker		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Kailer Yamamoto	Vinni Lettieri		Jack Thompson	Kevin Gravel

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Kailer Yamamoto	Vinni Lettieri		Jack Thompson	Kevin Gravel

Extra Forwards
Normal	PowerPlay	Penalty Kill
Cam Lund, Kaleb Lawrence, Gemel Smith	Cam Lund, Kaleb Lawrence	Gemel Smith

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Cade Webber, Tyler Tucker		Cade Webber, Tyler Tucker

Penalty Shots
, Nathan Bastian, Vinni Lettieri, Adam Edstrom, Kailer Yamamoto

Goalie
#1 : Ville Husso, #2 : Dennis Hildeby

Custom OT Lines Forwards
, Nathan Bastian, Vinni Lettieri, Adam Edstrom, Kailer Yamamoto, , , Jakob Pelletier, , Matthew Phillips, Cam Lund

Custom OT Lines Defensemen
Jack Thompson, Kevin Gravel, Tyler Tucker, ,

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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
9	10	L1	38	71	109	363	303	109	86	220	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	5	4	0	0	0	0	38	32

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	20	20

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	18	12

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	2	0	2	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
26	9	34.62%	29	6	79.31%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
108	96	129	30	11	8	17	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
182	360	50.56%	169	350	48.29%	79	154	51.30%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
226	157	256	73	123	58

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`)
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7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
1 - 2026-04-18	5	Admirals	3	Comets	4	W	X	BoxScore
2 - 2026-04-19	13	Admirals	3	Comets	5	W		BoxScore
3 - 2026-04-20	21	Comets	4	Admirals	3	W	X	BoxScore
4 - 2026-04-21	29	Comets	4	Admirals	2	W		BoxScore
8 - 2026-04-25	59	Stars	5	Comets	4	L	X	BoxScore
9 - 2026-04-26	63	Stars	5	Comets	4	L	X	BoxScore
10 - 2026-04-27	67	Comets	3	Stars	4	L		BoxScore
11 - 2026-04-28	71	Comets	7	Stars	3	W		BoxScore
12 - 2026-04-29	75	Stars	4	Comets	3	L		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	25	15
Attendance	10,000	5,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
5	3000 - 100.00%	81,250$	406,250$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	3,130,700$	3,130,700$	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$	1	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
Regular Season
2024	82	49	22	0	5	5	1	0	327	264	63	41	24	10	0	3	3	1	0	156	118	38	41	25	12	0	2	2	0	0	171	146	25	115	327	588	915	1	6	134	100	87	6	3048	1024	1035	965	29	2652	787	673	2047	278	65	23.38%	268	56	79.10%	4	1539	3143	48.97%	1438	2909	49.43%	669	1400	47.79%	2017	1408	1863	604	1063	539
2025	82	46	21	0	5	3	5	2	378	288	90	41	20	11	0	3	3	3	1	192	148	44	41	26	10	0	2	0	2	1	186	140	46	117	378	659	1037	2	0	147	124	97	11	3717	1148	1279	1239	70	3170	974	548	2131	269	66	24.54%	237	56	76.37%	2	1714	3365	50.94%	1597	3243	49.24%	735	1437	51.15%	1989	1423	1960	585	1019	506
Total Regular Season	164	95	43	0	10	8	6	2	705	552	153	82	44	21	0	6	6	4	1	348	266	82	82	51	22	0	4	2	2	1	357	286	71	232	705	1247	1952	3	6	281	224	184	17	6765	2172	2314	2204	99	5822	1761	1221	4178	547	131	23.95%	505	112	77.82%	6	3253	6508	49.98%	3035	6152	49.33%	1404	2837	49.49%	4006	2832	3823	1189	2083	1046
Playoff
2024	12	7	5	0	0	0	0	0	40	42	-2	7	4	3	0	0	0	0	0	26	23	3	5	3	2	0	0	0	0	0	14	19	-5	14	40	77	117	1	0	13	14	12	1	417	112	120	145	40	425	110	80	286	51	10	19.61%	38	12	68.42%	0	192	461	41.65%	232	482	48.13%	82	203	40.39%	297	200	297	97	173	86
2025	9	5	4	0	0	0	0	0	38	32	6	5	2	3	0	0	0	0	0	20	20	0	4	3	1	0	0	0	0	0	18	12	6	10	38	71	109	0	0	11	8	17	2	363	108	96	129	30	303	109	86	220	26	9	34.62%	29	6	79.31%	2	182	360	50.56%	169	350	48.29%	79	154	51.30%	226	157	256	73	123	58
Total Playoff	21	12	9	0	0	0	0	0	78	74	4	12	6	6	0	0	0	0	0	46	43	3	9	6	3	0	0	0	0	0	32	31	1	24	78	148	226	1	0	24	22	29	3	780	220	216	274	70	728	219	166	506	77	19	24.68%	67	18	73.13%	2	374	821	45.55%	401	832	48.20%	161	357	45.10%	523	358	554	171	296	145