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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	Jiri Kulich (R)	0			X		100.00	65	37	89	73	75	85	83	67	71	62	69	65	68	61	64	0	75	66	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	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
5	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
6	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
7	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
8	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
9	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
10	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
11	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
12	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
13	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
14	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
15	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
16	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	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	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
3	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
4	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
5	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
6	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
7	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
8	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
9	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
10	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
11	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
12	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
13	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
14	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
15	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
16	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					100.00	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	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Vinni Lettieri	Comets (VAN)	C/RW	53	36	54	90	30	28	0	160	221	334	86	210	10.78%	16	1160	21.90	7	14	21	57	148	0	1	1	1	42	2	0	55.88%	1743	1	1.55	1	3	0	5	11	3
2	Kailer Yamamoto	Comets (VAN)	LW/RW	49	34	51	85	22	10	0	92	144	304	86	213	11.18%	24	1083	22.12	8	13	21	53	136	0	0	0	0	46	8	3	52.44%	82	4	1.57	0	0	0	11	2	4
3	Kevin Gravel	Comets (VAN)	D	60	13	52	65	14	61	5	212	92	128	31	88	10.16%	125	1479	24.65	6	13	19	66	177	0	1	1	2	119	0	0	0.00%	0	0	0.88	0	1	0	3	2	5
4	Jakob Pelletier	Comets (VAN)	LW	60	35	30	65	13	10	0	68	109	271	67	208	12.92%	19	1055	17.59	6	9	15	46	158	0	0	0	0	5	5	2	58.62%	87	1	1.23	0	0	0	5	4	2
5	Tyler Tucker	Comets (VAN)	D	51	14	41	55	16	63	5	157	102	143	33	88	9.79%	86	1027	20.14	5	9	14	52	116	0	0	0	1	96	2	0	0.00%	0	0	1.07	0	0	1	2	2	6
6	Nathan Bastian	Comets (VAN)	RW	52	20	33	53	-2	39	5	149	102	233	65	159	8.58%	26	1131	21.75	5	6	11	34	132	0	0	0	1	138	1	1	52.85%	123	0	0.94	0	2	1	1	5	3
7	Cole Guttman	Comets (VAN)	C	60	20	32	52	24	8	0	108	173	252	71	196	7.94%	23	831	13.85	0	0	0	0	0	0	0	0	0	0	3	1	54.15%	1071	1	1.25	0	0	0	5	3	3
8	Adam Edstrom	Comets (VAN)	C	53	19	26	45	3	30	0	119	141	189	34	123	10.05%	10	939	17.73	3	7	10	42	141	1	0	1	4	48	2	1	54.52%	1271	0	0.96	1	2	0	2	3	1
9	Jack Thompson	Comets (VAN)	D	39	6	31	37	0	10	0	38	66	82	29	70	7.32%	69	974	25.00	2	9	11	36	118	0	0	0	0	96	2	0	0.00%	0	0	0.76	0	2	0	0	1	0
10	Jiri Kulich	Comets (VAN)	RW	23	20	16	36	2	8	0	39	75	168	35	93	11.90%	9	580	25.25	5	4	9	40	83	0	0	0	1	69	4	0	53.23%	186	0	1.24	0	0	0	3	3	1
11	Dylan McIlrath	Comets (VAN)	D	32	6	17	23	5	36	0	106	45	53	16	47	11.32%	43	663	20.74	1	7	8	30	96	0	0	0	1	62	1	0	0.00%	0	0	0.69	0	0	0	2	0	0
12	Jonathan Lekkerimaki	Comets (VAN)	RW	34	11	12	23	13	8	0	29	51	104	38	96	10.58%	9	459	13.50	0	0	0	0	0	0	0	0	0	0	1	0	53.33%	30	1	1.00	0	0	0	1	1	0
13	Matthew Phillips	Comets (VAN)	C/RW	29	9	13	22	8	2	0	22	48	78	23	55	11.54%	10	423	14.61	0	0	0	0	0	0	0	0	0	0	1	0	58.24%	91	0	1.04	0	0	0	0	0	2
14	Cade Webber	Comets (VAN)	D	36	5	12	17	12	31	5	107	17	33	12	16	15.15%	47	518	14.42	0	0	0	0	1	0	0	0	0	32	0	0	0.00%	0	0	0.66	0	0	1	0	0	1
15	Grant Hutton	Comets (VAN)	D	21	3	9	12	10	6	0	14	21	17	6	12	17.65%	20	285	13.58	0	0	0	1	4	0	0	0	0	5	0	0	0.00%	0	0	0.84	0	0	0	0	0	1
16	Cam Lund	Comets (VAN)	C	60	3	6	9	8	0	0	5	16	19	6	15	15.79%	4	95	1.60	0	0	0	1	10	0	0	0	0	13	0	0	46.30%	54	0	1.88	0	0	0	0	0	0
17	Isaac Ratcliffe	Comets (VAN)	LW	4	0	2	2	-3	4	0	14	4	8	2	3	0.00%	1	74	18.51	0	1	1	2	14	0	0	0	0	0	0	0	66.67%	12	0	0.54	0	0	0	0	0	0
18	Gemel Smith	Comets (VAN)	C	49	0	0	0	1	0	0	4	2	1	1	4	0.00%	5	72	1.48	0	0	0	0	1	0	0	0	1	64	0	0	50.00%	22	0	0.00	0	0	0	0	0	0
19	Jett Luchanko	Comets (VAN)	C	4	0	0	0	1	0	0	0	0	0	0	0	0.00%	1	5	1.28	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	1	0	0.00	0	0	0	0	0	0
20	Kaleb Lawrence	Comets (VAN)	C	60	0	0	0	-2	4	0	8	4	4	2	4	0.00%	3	37	0.63	0	0	0	0	1	0	0	0	0	1	0	0	22.22%	9	0	0.00	1	2	0	0	0	0
Team Total or Average				829	254	437	691	175	358	20	1451	1433	2421	643	1700	10.49%	550	12899	15.56	48	92	140	460	1345	1	2	3	12	846	32	8	54.79%	4782	8	1.07	3	12	3	40	37	32

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Dennis Hildeby	Comets (VAN)	60	40	14	5	0.905	3.43	3482	2	199	2102	3	2	0.750	12	60	0	1	1	3
2	Mads Sogaard	Comets (VAN)	3	0	0	0	0.951	1.74	69	0	2	41	0	0	0.000	0	0	16	0	0	0
Team Total or Average			63	40	14	5	0.906	3.40	3552	2	201	2143	3	2	0.750	12	60	16	1	1	3

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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$	398,438$	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$	703,125$	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			30	1	2	2
3		Cole Guttman		20	1	2	2
4				10	1	2	2

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

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

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

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		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			Kevin Gravel

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Kailer Yamamoto	Vinni Lettieri			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
, , Tyler Tucker		, Tyler Tucker

Penalty Shots
, , Vinni Lettieri, , Kailer Yamamoto

Goalie
#1 : Dennis Hildeby, #2 :

Custom OT Lines Forwards
, , Vinni Lettieri, , Kailer Yamamoto, , , Jakob Pelletier, Cole Guttman, , Cam Lund

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

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2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
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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
60	85	W2	280	496	776	2655	2193	675	412	1588	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
60	35	15	3	3	2	2	280	209

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	15	7	2	3	1	1	140	105

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	20	8	1	0	1	1	140	104

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	0	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
206	52	25.24%	169	39	76.92%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
810	901	908	48	113	90	72	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1266	2422	52.27%	1143	2277	50.20%	557	1064	52.35%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1477	1059	1404	423	748	376

Last Played Games Show or Hide Column

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2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
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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")
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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	Link
3 - 2025-10-09	19	Wranglers	5	Comets	2	L			BoxScore
5 - 2025-10-11	35	Comets	5	Condors	4	W			BoxScore
7 - 2025-10-13	46	Thunderbirds	4	Comets	10	W			BoxScore
10 - 2025-10-16	68	Comets	5	Stars	3	W			BoxScore
11 - 2025-10-17	74	Comets	5	IceHogs	6	L			BoxScore
13 - 2025-10-19	89	Comets	4	Bears	2	W			BoxScore
15 - 2025-10-21	101	Comets	0	Penguins	5	L			BoxScore
17 - 2025-10-23	118	Comets	2	Admirals	4	L			BoxScore
19 - 2025-10-25	136	Rocket	5	Comets	4	L			BoxScore
20 - 2025-10-26	147	Condors	5	Comets	4	L	X		BoxScore
22 - 2025-10-28	163	Wolf Pack	3	Comets	4	W			BoxScore
24 - 2025-10-30	172	Comets	8	Thunderbirds	1	W			BoxScore
26 - 2025-11-01	190	Comets	4	Wild	2	W			BoxScore
28 - 2025-11-03	201	Comets	2	Admirals	3	L			BoxScore
30 - 2025-11-05	216	IceHogs	4	Comets	5	W			BoxScore
33 - 2025-11-08	241	Monsters	6	Comets	2	L			BoxScore
34 - 2025-11-09	250	Eagles	5	Comets	3	L			BoxScore
36 - 2025-11-11	263	Moose	2	Comets	4	W			BoxScore
39 - 2025-11-14	280	Comets	3	Wolves	5	L			BoxScore
41 - 2025-11-16	297	Comets	4	Crunch	3	W			BoxScore
42 - 2025-11-17	303	Comets	6	Checkers	2	W			BoxScore
45 - 2025-11-20	328	Stars	2	Comets	7	W			BoxScore
48 - 2025-11-23	352	Wranglers	4	Comets	2	L			BoxScore
51 - 2025-11-26	374	Comets	4	Gulls	3	W	X		BoxScore
53 - 2025-11-28	385	Comets	2	Barracuda	6	L			BoxScore
54 - 2025-11-29	401	Comets	6	Reign	7	L			BoxScore
57 - 2025-12-02	417	Comets	6	Eagles	2	W			BoxScore
60 - 2025-12-05	439	Roadrunners	2	Comets	3	W			BoxScore
61 - 2025-12-06	451	Wild	6	Comets	7	W	X		BoxScore
63 - 2025-12-08	464	Griffins	4	Comets	9	W			BoxScore
66 - 2025-12-11	492	Americans	1	Comets	4	W			BoxScore
69 - 2025-12-14	508	Comets	4	Devils	3	W			BoxScore
71 - 2025-12-16	523	Comets	4	Wolf Pack	3	W	X	X	BoxScore
74 - 2025-12-19	545	Comets	6	Sound Tigers	4	W			BoxScore
75 - 2025-12-20	555	Comets	3	Bruins	2	W			BoxScore
77 - 2025-12-22	572	Comets	3	Phantoms	4	L	X	X	BoxScore
82 - 2025-12-27	599	Barracuda	2	Comets	7	W			BoxScore
84 - 2025-12-29	616	Comets	5	Firebirds	3	W			BoxScore
85 - 2025-12-30	621	Phantoms	3	Comets	2	L			BoxScore
88 - 2026-01-02	642	Firebirds	4	Comets	3	L			BoxScore
89 - 2026-01-03	656	Bruins	3	Comets	5	W			BoxScore
92 - 2026-01-06	667	Comets	4	Americans	3	W			BoxScore
94 - 2026-01-08	684	Comets	10	Griffins	2	W			BoxScore
96 - 2026-01-10	702	Comets	5	Marlies	4	W			BoxScore
98 - 2026-01-12	720	Comets	8	Rocket	4	W			BoxScore
99 - 2026-01-13	725	Comets	1	Senators	2	L			BoxScore
101 - 2026-01-15	743	Comets	3	Monsters	2	W			BoxScore
103 - 2026-01-17	764	Condors	5	Comets	6	W	X		BoxScore
105 - 2026-01-19	778	Sound Tigers	5	Comets	4	L	X		BoxScore
107 - 2026-01-21	793	Bears	3	Comets	6	W			BoxScore
109 - 2026-01-23	807	Devils	2	Comets	9	W			BoxScore
111 - 2026-01-25	822	Penguins	5	Comets	4	L	X	X	BoxScore
113 - 2026-01-27	838	Barracuda	2	Comets	7	W			BoxScore
115 - 2026-01-29	855	Gulls	3	Comets	5	W			BoxScore
117 - 2026-01-31	869	Marlies	3	Comets	4	W	X	X	BoxScore
119 - 2026-02-02	884	Comets	5	Roadrunners	3	W			BoxScore
121 - 2026-02-04	901	Comets	8	Silver Knights	4	W			BoxScore
142 - 2026-02-25	915	Moose	4	Comets	3	L	X		BoxScore
145 - 2026-02-28	946	Comets	5	Firebirds	3	W			BoxScore
147 - 2026-03-02	956	Stars	3	Comets	5	W			BoxScore
149 - 2026-03-04	972	Wolves	-	Comets	-
151 - 2026-03-06	985	Comets	-	IceHogs	-
152 - 2026-03-07	996	Comets	-	Moose	-
154 - 2026-03-09	1011	Senators	-	Comets	-
157 - 2026-03-12	1038	Admirals	-	Comets	-
159 - 2026-03-14	1055	Firebirds	-	Comets	-
162 - 2026-03-17	1074	Checkers	-	Comets	-
164 - 2026-03-19	1090	Crunch	-	Comets	-
166 - 2026-03-21	1107	Thunderbirds	-	Comets	-
169 - 2026-03-24	1134	Gulls	-	Comets	-
171 - 2026-03-26	1149	Reign	-	Comets	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-28	1165	Comets	-	Wranglers	-
175 - 2026-03-30	1175	Comets	-	Silver Knights	-
177 - 2026-04-01	1188	Comets	-	Eagles	-
178 - 2026-04-02	1199	Comets	-	Wild	-
180 - 2026-04-04	1216	Roadrunners	-	Comets	-
183 - 2026-04-07	1242	Silver Knights	-	Comets	-
185 - 2026-04-09	1260	Comets	-	Reign	-
187 - 2026-04-11	1275	Comets	-	Barracuda	-
188 - 2026-04-12	1280	Comets	-	Gulls	-
190 - 2026-04-14	1300	Reign	-	Comets	-
192 - 2026-04-16	1311	Comets	-	Condors	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	25	15
Attendance	57,389	28,767
Attendance PCT	98.95%	99.20%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-19	2971 - 99.03%	80,441$	2,332,786$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,159,744$	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$	2,389,635$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-1,528,377$	45	21,514$	968,130$

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
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	60	35	15	0	3	3	2	2	280	209	71	29	15	7	0	2	3	1	1	140	105	35	31	20	8	0	1	0	1	1	140	104	36	85	280	496	776	2	0	113	90	72	6	2655	810	901	908	48	2193	675	412	1588	206	52	25.24%	169	39	76.92%	1	1266	2422	52.27%	1143	2277	50.20%	557	1064	52.35%	1477	1059	1404	423	748	376
Total Regular Season	142	84	37	0	8	8	3	2	607	473	134	70	39	17	0	5	6	2	1	296	223	73	72	45	20	0	3	2	1	1	311	250	61	200	607	1084	1691	3	6	247	190	159	12	5703	1834	1936	1873	77	4845	1462	1085	3635	484	117	24.17%	437	95	78.26%	5	2805	5565	50.40%	2581	5186	49.77%	1226	2464	49.76%	3495	2467	3267	1027	1812	916
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
Total Playoff	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