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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	Marco Kasper (R)	0	X				100.00	72	46	85	72	74	86	88	71	75	67	68	70	66	61	65	0	75	67	0
2	Dryden Hunt	0	X	X			100.00	78	53	80	66	73	88	79	65	72	69	62	65	64	71	73	0	75	66	0
3	Zachary Sanford	0	X	X	X		100.00	76	73	77	65	88	79	84	63	61	66	58	64	59	73	74	0	75	65	0
4	Emil Heineman (R)	0		X	X		100.00	76	39	88	68	80	86	81	64	59	62	63	61	64	65	67	0	75	65	0
5	Ethen Frank	0	X				100.00	61	36	92	69	70	85	83	66	63	61	67	62	65	68	69	0	75	65	0
6	Colton Dach (R)	0	X	X			100.00	79	41	77	66	86	85	79	65	69	63	62	64	66	62	64	0	75	65	0
7	Zack Ostapchuk (R)	0	X	X			100.00	78	46	78	62	89	76	88	61	74	63	58	65	60	62	64	0	75	64	0
8	Nikolai Kovalenko (R)	0			X		100.00	69	33	91	67	66	79	70	66	54	65	61	62	64	66	68	0	75	64	0
9	Samuel Helenius (R)	0	X				100.00	82	48	74	65	93	73	86	62	71	61	60	64	58	63	65	0	75	64	0
10	Jakub Demek (R)	0	X		X		100.00	79	39	91	59	88	78	76	60	66	61	57	62	58	62	64	0	75	63	0
11	Judd Caulfield	0			X		100.00	76	40	85	59	85	72	84	56	60	58	57	55	59	64	66	0	75	61	0
12	Declan Chisholm (R)	0				X	100.00	62	35	90	68	75	87	79	66	30	71	59	57	52	64	66	0	75	65	0
13	Lucas Carlsson	0				X	100.00	62	39	74	65	72	89	80	63	30	67	60	68	51	69	67	0	75	64	0
14	Drew Helleson (R)	0				X	100.00	75	42	74	67	86	84	85	63	30	65	59	66	52	64	65	0	75	64	0
15	Isaiah George (R)	0				X	100.00	65	37	94	66	77	83	72	62	30	63	59	64	50	61	62	0	75	63	0
16	Austin Strand	0				X	100.00	77	42	73	59	86	67	80	58	30	57	54	59	46	68	70	0	75	61	0
17	Jeremie Poirier (R)	0				X	100.00	68	41	72	60	76	75	77	59	30	65	55	58	48	63	65	0	75	61	0
18	Vincent Iorio	0				X	100.00	73	39	87	59	86	73	85	57	30	56	55	58	47	63	65	0	75	61	0
Scratches
1	Michael Milne (R)	0		X			100.00	72	38	75	59	69	82	79	56	53	58	57	55	59	63	64	0	75	60	0
2	Jakub Brabenec (R)	0	X	X			100.00	64	37	92	59	73	69	80	58	62	56	57	55	58	62	64	0	75	60	0
3	Matthew Maggio (R)	0			X		100.00	60	38	87	59	69	88	83	56	60	57	58	54	55	63	65	0	75	60	0
4	Riley Fiddler-Schultz	0	X				100.00	65	39	87	58	74	80	70	57	62	56	59	55	57	63	65	0	75	60	0
5	Zachary Gallant (R)	0	X				100.00	69	41	73	59	78	75	61	56	65	58	57	55	59	66	68	0	75	60	0
6	Daniel D'Amato	0		X			100.00	63	39	81	56	72	76	81	55	59	54	57	56	58	64	66	0	75	59	0
7	Matvey Petrov (R)	0		X			100.00	67	38	87	58	76	74	79	56	59	53	57	55	58	62	64	0	75	59	0
8	Matthew Sop	0		X			100.00	62	37	90	58	71	73	63	56	61	59	57	55	58	62	64	0	75	59	0
9	Artem Duda (R)	0				X	100.00	66	37	94	59	75	73	72	58	30	60	54	56	45	61	63	0	75	60	0
10	Noel Hoefenmayer (R)	0				X	100.00	64	40	71	60	73	77	76	57	30	61	55	56	48	66	68	0	75	60	0
11	Jett Woo (R)	0				X	100.00	66	43	64	56	75	73	84	55	30	59	53	57	46	65	67	0	75	59	0
12	Jorian Donovan (R)	0				X	100.00	65	43	66	56	74	64	71	55	30	54	53	57	45	61	63	0	75	58	0
13	Case McCarthy (R)	0				X	100.00	68	37	95	54	77	62	63	53	30	52	50	55	45	64	66	0	75	57	0

	TEAM AVERAGE					100.00	70	41	82	62	78	78	78	60	50	61	58	60	55	64	66	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	Marcus Hogberg	100.00	74	76	71	96	73	72	74	73	72	74	73	71	85	0	75	66	0
2	Trent Miner (R)	100.00	77	82	78	74	76	75	77	76	75	77	76	64	71	0	75	66	0
Scratches
1	Isaac Poulter	100.00	75	83	79	75	74	73	75	74	73	75	74	64	71	0	75	65	0

	TEAM AVERAGE	100.00	75	80	76	82	74	73	75	74	73	75	74	66	76	0	75	66

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ryan Warsofsky	74	68	69	72	55	51	89	USA	37	3	800,000$

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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	FW	S1	S2	S3
1	Drew Helleson	Crunch (TBL)	D	28	15	17	32	2	44	0	106	46	71	19	35	21.13%	51	695	24.83	5	4	9	18	65	0	0	0	3	70	3	1	0.00%	0	0	0.92	0	0	0	4	3	3
2	Lucas Carlsson	Crunch (TBL)	D	28	8	21	29	0	22	0	63	35	40	18	39	20.00%	48	611	21.85	2	3	5	14	61	0	0	0	0	79	1	0	0.00%	0	0	0.95	0	0	0	3	2	0
3	Dryden Hunt	Crunch (TBL)	C/LW	28	11	18	29	2	12	0	56	88	91	35	72	12.09%	8	669	23.89	3	5	8	15	64	1	1	2	1	84	2	0	58.18%	550	0	0.87	0	3	0	2	4	0
4	Declan Chisholm	Crunch (TBL)	D	28	0	24	24	0	8	0	20	30	38	8	25	0.00%	36	694	24.81	0	10	10	14	65	0	2	2	1	84	0	0	0.00%	0	0	0.69	0	0	0	0	1	1
5	Ethen Frank	Crunch (TBL)	C	28	5	16	21	8	4	0	25	87	113	29	82	4.42%	3	492	17.59	0	5	5	13	63	0	0	0	0	7	1	0	55.56%	648	0	0.85	1	1	0	1	1	0
6	Nikolai Kovalenko	Crunch (TBL)	RW	28	7	12	19	8	2	0	14	48	90	30	78	7.78%	3	466	16.68	1	2	3	9	61	0	0	0	0	0	1	1	33.33%	36	0	0.81	0	0	0	0	0	1
7	Zachary Sanford	Crunch (TBL)	C/LW/RW	28	7	11	18	1	35	5	66	44	93	24	56	7.53%	6	600	21.44	1	1	2	9	64	0	0	0	0	38	0	0	67.50%	80	0	0.60	1	1	1	1	0	1
8	Colton Dach	Crunch (TBL)	C/LW	28	9	8	17	12	14	0	65	43	94	24	58	9.57%	8	453	16.21	2	1	3	10	41	0	0	0	0	30	1	0	56.13%	155	0	0.75	0	0	0	0	2	1
9	Emil Heineman	Crunch (TBL)	LW/RW	28	8	7	15	-1	14	0	48	38	75	24	62	10.67%	4	553	19.76	0	2	2	10	66	0	0	0	2	22	1	0	54.72%	53	0	0.54	0	1	0	0	1	3
10	Marco Kasper	Crunch (TBL)	C	10	8	6	14	4	8	0	8	41	59	17	33	13.56%	4	236	23.65	3	1	4	11	20	2	0	2	3	29	2	1	59.82%	341	1	1.18	1	1	0	2	0	0
11	Samuel Helenius	Crunch (TBL)	C	28	10	3	13	0	18	0	38	51	55	15	49	18.18%	2	317	11.33	0	0	0	0	0	0	0	0	0	53	1	0	60.10%	406	0	0.82	0	0	0	1	0	0
12	Jeremie Poirier	Crunch (TBL)	D	28	1	11	12	11	25	5	50	21	21	3	13	4.76%	32	397	14.20	0	0	0	0	1	0	0	0	0	31	0	1	0.00%	0	0	0.60	0	0	1	0	1	1
13	Isaiah George	Crunch (TBL)	D	28	2	10	12	0	4	0	35	32	40	8	29	5.00%	43	601	21.47	2	1	3	15	61	0	0	0	0	77	0	0	0.00%	0	0	0.40	0	0	0	0	1	1
14	Zack Ostapchuk	Crunch (TBL)	C/LW	28	5	7	12	4	13	5	34	42	68	18	43	7.35%	8	384	13.72	0	0	0	0	0	0	0	0	0	77	0	0	59.65%	57	0	0.62	0	0	1	1	1	0
15	Vincent Iorio	Crunch (TBL)	D	28	4	6	10	11	18	0	31	10	18	4	14	22.22%	26	377	13.50	0	0	0	0	1	0	0	0	0	4	1	1	0.00%	0	0	0.53	0	0	0	1	0	1
16	Judd Caulfield	Crunch (TBL)	RW	28	1	6	7	0	2	0	16	12	20	6	17	5.00%	0	252	9.02	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	28	0	0.55	0	0	0	1	0	1
17	Jakub Brabenec	Crunch (TBL)	C/LW	20	1	3	4	-2	0	0	3	4	10	4	10	10.00%	1	133	6.66	0	0	0	0	0	0	0	0	0	0	0	0	48.39%	31	0	0.60	0	0	0	0	0	0
18	Jakub Demek	Crunch (TBL)	C/RW	16	2	2	4	0	4	0	8	8	15	11	14	13.33%	2	122	7.63	0	0	0	0	0	0	0	0	0	0	0	0	55.13%	78	0	0.66	0	0	0	0	0	1
19	Matthew Maggio	Crunch (TBL)	RW	20	2	2	4	1	2	0	3	2	11	4	7	18.18%	2	107	5.38	0	0	0	0	1	0	0	0	0	0	0	1	58.33%	12	0	0.74	0	0	0	0	0	0
Team Total or Average				486	106	190	296	61	249	15	689	682	1022	301	736	10.37%	287	8167	16.81	19	35	54	138	639	3	3	6	10	693	14	6	57.49%	2475	1	0.72	3	7	3	17	17	15

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	EG	PS %	PSA	ST	BG	S1
1	Trent Miner	Crunch (TBL)	23	13	6	1	0.884	3.83	1207	4	1	77	661	2	1.000	3	22	9	2
2	Isaac Poulter	Crunch (TBL)	8	4	3	0	0.890	3.62	398	2	0	24	219	0	1.000	6	6	14	0
Team Total or Average			31	17	9	1	0.885	3.78	1605	6	1	101	880	2	1.000	9	28	23	2

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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
Artem Duda	D	21	2004-04-08	Yes	187 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Austin Strand (1 Way Contract)	D	28	1997-02-17	No	215 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	1,500,000$	1,500,000$	1,015,625$	No	Link / NHL Link
Case McCarthy	D	24	2001-01-09	Yes	198 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Colton Dach	C/LW	22	2003-01-04	Yes	196 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Daniel D'Amato	LW	24	2001-04-08	No	175 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Declan Chisholm	D	25	2000-01-12	Yes	190 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	932,600$	0$	0$	No	Link / NHL Link
Drew Helleson	D	24	2001-03-26	Yes	213 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	1,392,000$	0$	0$	No	Link / NHL Link
Dryden Hunt	C/LW	29	1995-11-24	No	193 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Emil Heineman	LW/RW	23	2001-10-26	Yes	198 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Ethen Frank (1 Way Contract)	C	27	1998-02-05	No	188 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	898,100$	898,100$	608,089$	No	Link / NHL Link
Isaac Poulter	G	24	2001-09-12	No	174 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Isaiah George	D	21	2004-02-15	Yes	196 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jakub Brabenec	C/LW	22	2003-09-11	Yes	180 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jakub Demek	C/RW	22	2003-06-06	Yes	210 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jeremie Poirier	D	23	2002-06-02	Yes	196 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jett Woo	D	25	2000-07-27	Yes	205 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Jorian Donovan	D	21	2004-04-05	Yes	182 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Judd Caulfield	RW	24	2001-03-19	No	207 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Lucas Carlsson	D	28	1997-07-05	No	190 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Marco Kasper	C	21	2004-04-08	Yes	183 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Marcus Hogberg	G	30	1994-11-25	No	234 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Matthew Maggio	RW	22	2002-11-25	Yes	185 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Matthew Sop	LW	22	2003-02-04	No	185 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Matvey Petrov	LW	22	2003-03-12	Yes	178 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Michael Milne	LW	23	2002-09-21	Yes	185 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	876,500$	0$	0$	No	Link / NHL Link
Nikolai Kovalenko	RW	25	1999-10-17	Yes	180 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Noel Hoefenmayer	D	26	1999-01-06	Yes	191 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Riley Fiddler-Schultz	C	23	2002-05-13	No	200 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Samuel Helenius	C	22	2002-11-26	Yes	201 Lbs	6 ft6	No	No	No	3	RFA	Pro & Farm	998,600$	0$	0$	No	Link / NHL Link
Trent Miner	G	24	2001-02-05	Yes	185 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Vincent Iorio	D	22	2002-11-14	No	200 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Zachary Gallant	C	26	1999-03-06	Yes	188 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Zachary Sanford	C/LW/RW	30	1994-11-09	No	206 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Zack Ostapchuk	C/LW	22	2003-05-29	Yes	212 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
34	24.03	194 Lbs	6 ft2	2.09	946,994$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Dryden Hunt	Marco Kasper	Zachary Sanford	40	1	2	2
2	Emil Heineman	Ethen Frank	Nikolai Kovalenko	30	1	2	2
3	Zack Ostapchuk	Colton Dach	Judd Caulfield	20	1	2	2
4		Samuel Helenius		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Declan Chisholm	Drew Helleson	40	1	2	2
2	Lucas Carlsson	Isaiah George	30	1	2	2
3	Vincent Iorio	Jeremie Poirier	20	1	2	2
4	Declan Chisholm	Drew Helleson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Dryden Hunt	Marco Kasper	Zachary Sanford	60	1	2	2
2	Emil Heineman	Ethen Frank	Nikolai Kovalenko	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Declan Chisholm	Drew Helleson	60	1	2	2
2	Lucas Carlsson	Isaiah George	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Marco Kasper	Dryden Hunt	60	1	2	2
2	Zachary Sanford	Emil Heineman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Declan Chisholm	Drew Helleson	60	1	2	2
2	Lucas Carlsson	Isaiah George	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Marco Kasper	60	1	2	2	Declan Chisholm	Drew Helleson	60	1	2	2
2	Dryden Hunt	40	1	2	2	Lucas Carlsson	Isaiah George	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Marco Kasper	Dryden Hunt	60	1	2	2
2	Zachary Sanford	Emil Heineman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Declan Chisholm	Drew Helleson	60	1	2	2
2	Lucas Carlsson	Isaiah George	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Dryden Hunt	Marco Kasper	Zachary Sanford	Declan Chisholm	Drew Helleson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Dryden Hunt	Marco Kasper	Zachary Sanford	Declan Chisholm	Drew Helleson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Colton Dach, Samuel Helenius, Zack Ostapchuk	Colton Dach, Samuel Helenius	Zack Ostapchuk

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Vincent Iorio, Jeremie Poirier, Lucas Carlsson	Vincent Iorio	Jeremie Poirier, Lucas Carlsson

Penalty Shots
Marco Kasper, Dryden Hunt, Zachary Sanford, Emil Heineman, Ethen Frank

Goalie
#1 : Trent Miner, #2 :

Custom OT Lines Forwards
Marco Kasper, Dryden Hunt, Zachary Sanford, Emil Heineman, Ethen Frank, Colton Dach, Colton Dach, Samuel Helenius, Zack Ostapchuk, Nikolai Kovalenko, Judd Caulfield

Custom OT Lines Defensemen
Declan Chisholm, Drew Helleson, Lucas Carlsson, Isaiah George, Vincent Iorio

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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
28	35	W2	109	190	299	1023	932	287	255	689	2	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	13	10	1	1	3	0	109	107

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	7	5	0	1	2	0	63	62

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	6	5	1	0	1	0	46	45

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	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
80	19	23.75%	110	32	70.91%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
288	343	381	18	40	34	31	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
586	1012	57.91%	563	956	58.89%	274	487	56.26%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
725	513	614	195	359	186

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.
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")
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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	11	Senators	4	Crunch	3	L	X		BoxScore
5 - 2025-10-11	26	Devils	4	Crunch	7	W			BoxScore
7 - 2025-10-13	40	Crunch	2	Bruins	4	L			BoxScore
8 - 2025-10-14	52	Crunch	0	Bears	4	L			BoxScore
11 - 2025-10-17	72	Crunch	5	Griffins	3	W			BoxScore
12 - 2025-10-18	82	Crunch	1	Monsters	5	L			BoxScore
17 - 2025-10-23	111	IceHogs	2	Crunch	3	W	X	X	BoxScore
19 - 2025-10-25	129	Gulls	5	Crunch	3	L			BoxScore
20 - 2025-10-26	141	Silver Knights	4	Crunch	6	W			BoxScore
22 - 2025-10-28	156	Crunch	3	Admirals	1	W			BoxScore
24 - 2025-10-30	169	Stars	6	Crunch	3	L			BoxScore
27 - 2025-11-02	194	Crunch	4	Roadrunners	3	W	X	X	BoxScore
29 - 2025-11-04	209	Crunch	6	Eagles	4	W			BoxScore
31 - 2025-11-06	225	Crunch	5	Silver Knights	4	W			BoxScore
33 - 2025-11-08	236	Bears	6	Crunch	9	W			BoxScore
37 - 2025-11-12	265	Wolf Pack	6	Crunch	1	L			BoxScore
40 - 2025-11-15	283	Crunch	4	Checkers	2	W			BoxScore
41 - 2025-11-16	297	Comets	4	Crunch	3	L			BoxScore
43 - 2025-11-18	309	Devils	3	Crunch	0	L			BoxScore
45 - 2025-11-20	324	Condors	3	Crunch	6	W			BoxScore
47 - 2025-11-22	341	Crunch	3	Bears	0	W			BoxScore
49 - 2025-11-24	353	Phantoms	3	Crunch	4	W	X	X	BoxScore
51 - 2025-11-26	362	Wranglers	4	Crunch	5	W			BoxScore
53 - 2025-11-28	376	Crunch	5	Griffins	7	L			BoxScore
54 - 2025-11-29	391	Crunch	6	Wolf Pack	5	W	X		BoxScore
57 - 2025-12-02	413	Crunch	2	Sound Tigers	3	L			BoxScore
59 - 2025-12-04	428	Penguins	4	Crunch	5	W			BoxScore
61 - 2025-12-06	446	Sound Tigers	4	Crunch	5	W			BoxScore
63 - 2025-12-08	461	Crunch	-	Marlies	-
64 - 2025-12-09	466	Crunch	-	Rocket	-
66 - 2025-12-11	481	Crunch	-	Devils	-
68 - 2025-12-13	498	Crunch	-	Sound Tigers	-
70 - 2025-12-15	514	Checkers	-	Crunch	-
73 - 2025-12-18	537	Reign	-	Crunch	-
75 - 2025-12-20	557	Wolves	-	Crunch	-
77 - 2025-12-22	571	Thunderbirds	-	Crunch	-
82 - 2025-12-27	591	Crunch	-	Checkers	-
83 - 2025-12-28	601	Rocket	-	Crunch	-
86 - 2025-12-31	624	Crunch	-	Gulls	-
87 - 2026-01-01	637	Crunch	-	Reign	-
89 - 2026-01-03	649	Crunch	-	Barracuda	-
92 - 2026-01-06	668	Eagles	-	Crunch	-
96 - 2026-01-10	705	Crunch	-	Phantoms	-
98 - 2026-01-12	719	Crunch	-	Phantoms	-
99 - 2026-01-13	726	Crunch	-	Penguins	-
102 - 2026-01-16	751	Crunch	-	Thunderbirds	-
104 - 2026-01-18	767	Crunch	-	Stars	-
106 - 2026-01-20	781	Barracuda	-	Crunch	-
109 - 2026-01-23	803	Crunch	-	IceHogs	-
110 - 2026-01-24	814	Crunch	-	Monsters	-
112 - 2026-01-26	825	Roadrunners	-	Crunch	-
115 - 2026-01-29	846	Moose	-	Crunch	-
118 - 2026-02-01	873	Bruins	-	Crunch	-
120 - 2026-02-03	889	Americans	-	Crunch	-
122 - 2026-02-05	908	Checkers	-	Crunch	-
142 - 2026-02-25	912	Marlies	-	Crunch	-
143 - 2026-02-26	923	Crunch	-	Wolves	-
145 - 2026-02-28	942	Americans	-	Crunch	-
148 - 2026-03-03	967	Crunch	-	Wild	-
150 - 2026-03-05	980	Crunch	-	Moose	-
152 - 2026-03-07	994	Crunch	-	Marlies	-
153 - 2026-03-08	1003	Crunch	-	Americans	-
155 - 2026-03-10	1015	Monsters	-	Crunch	-
157 - 2026-03-12	1030	Griffins	-	Crunch	-
159 - 2026-03-14	1049	Wolves	-	Crunch	-
162 - 2026-03-17	1076	Crunch	-	Firebirds	-
164 - 2026-03-19	1090	Crunch	-	Comets	-
166 - 2026-03-21	1109	Crunch	-	Condors	-
167 - 2026-03-22	1116	Crunch	-	Wranglers	-
169 - 2026-03-24	1127	Wild	-	Crunch	-
171 - 2026-03-26	1139	Firebirds	-	Crunch	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-28	1152	Senators	-	Crunch	-
174 - 2026-03-29	1168	Admirals	-	Crunch	-
176 - 2026-03-31	1180	Rocket	-	Crunch	-
178 - 2026-04-02	1192	Penguins	-	Crunch	-
180 - 2026-04-04	1210	Bruins	-	Crunch	-
182 - 2026-04-06	1229	Crunch	-	Americans	-
183 - 2026-04-07	1234	Crunch	-	Senators	-
185 - 2026-04-09	1249	Crunch	-	Rocket	-
187 - 2026-04-11	1261	Crunch	-	Bruins	-
189 - 2026-04-13	1282	Griffins	-	Crunch	-
191 - 2026-04-15	1302	Wolf Pack	-	Crunch	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	28	17
Attendance	29,930	14,681
Attendance PCT	99.77%	97.87%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-5	2974 - 99.14%	90,635$	1,359,521$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,200,340$	2,979,970$	2,979,970$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	942,007$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-453,174$	130	19,687$	2,559,310$

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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	34	36	0	5	5	0	2	265	277	-12	41	18	17	0	2	2	0	2	132	136	-4	41	16	19	0	3	3	0	0	133	141	-8	85	265	484	749	1	3	100	80	80	5	2751	894	906	921	35	2717	814	620	2078	275	61	22.18%	283	66	76.68%	3	1447	2986	48.46%	1398	2908	48.07%	578	1300	44.46%	1954	1330	1924	608	1075	534
2025	28	13	10	0	1	1	3	0	109	107	2	15	7	5	0	0	1	2	0	63	62	1	13	6	5	0	1	0	1	0	46	45	1	35	109	190	299	2	1	40	34	31	4	1023	288	343	381	18	932	287	255	689	80	19	23.75%	110	32	70.91%	3	586	1012	57.91%	563	956	58.89%	274	487	56.26%	725	513	614	195	359	186
Total Regular Season	110	47	46	0	6	6	3	2	374	384	-10	56	25	22	0	2	3	2	2	195	198	-3	54	22	24	0	4	3	1	0	179	186	-7	120	374	674	1048	3	4	140	114	111	9	3774	1182	1249	1302	53	3649	1101	875	2767	355	80	22.54%	393	98	75.06%	6	2033	3998	50.85%	1961	3864	50.75%	852	1787	47.68%	2680	1844	2538	803	1434	721