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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	Lukas Reichel (R)	X	X			100.00	61	41	91	75	64	74	88	76	37	77	81	64	25	47	47	77	40	68	0
2	Brett Seney	X	X			100.00	65	61	73	77	61	78	81	67	80	63	65	62	62	51	51	67	40	64	0
3	Colton Dach (R)	X				100.00	59	55	64	74	71	66	63	76	69	66	72	59	76	50	50	90	40	64	0
4	David Gust			X		100.00	67	63	77	66	63	79	82	67	50	62	67	64	64	53	53	67	40	63	0
5	Reese Johnson	X		X		100.00	96	69	81	63	72	59	68	60	67	54	58	77	25	56	56	65	40	62	0
6	Luke Philp (R)	X				100.00	71	65	85	63	65	77	80	66	80	60	69	63	66	44	44	67	40	62	0
7	Gerald Mayhew	X		X		100.00	63	59	72	62	59	78	83	63	79	55	64	62	61	57	57	63	40	61	0
8	Adam Cracknell	X		X		100.00	79	77	84	58	77	67	68	64	80	62	63	67	60	44	44	66	40	61	0
9	William Lockwood (R)			X		100.00	93	45	99	67	63	57	74	57	25	58	55	73	25	45	45	64	40	60	0
10	Nick Swaney (R)			X		100.00	71	63	90	67	63	69	72	61	50	53	64	62	61	44	44	64	40	59	0
11	Michal Teply (R)		X			100.00	78	71	93	63	71	70	74	58	50	56	56	65	53	44	44	62	40	59	0
12	Sean Malone (R)	X				100.00	72	70	78	64	70	62	63	62	78	56	63	63	60	44	44	63	40	59	0
13	Mike Hardman (R)		X	X		100.00	78	76	81	68	76	75	81	52	50	52	47	63	45	44	44	57	40	58	0
14	Austin Wagner		X	X		100.00	67	69	63	62	69	61	62	59	50	46	65	63	62	59	59	61	40	58	0
15	Kevin Korchinski (R)				X	100.00	57	52	72	71	71	77	94	67	25	73	48	76	50	46	46	95	40	66	0
16	Parker Wotherspoon (R)				X	100.00	69	42	89	63	64	62	65	60	25	47	47	74	25	45	45	58	40	60	0
17	Alex Vlasic				X	100.00	81	79	86	75	79	56	58	51	25	46	40	65	38	45	45	54	40	60	0
18	Louis Crevier (R)				X	100.00	86	84	92	63	84	72	79	44	25	34	39	65	37	44	44	53	40	60	0
19	Wyatt Kaiser (R)				X	100.00	60	55	63	66	71	60	75	49	25	49	40	71	42	54	54	90	40	60	0
Scratches
1	Justin Addamo (R)			X		100.00	88	91	80	64	91	52	52	54	50	38	65	69	62	44	44	62	40	58	0
2	Ethan Prow				X	100.00	74	66	91	65	66	59	60	55	25	53	42	62	40	44	44	56	40	58	0

	TEAM AVERAGE					100.00	73	64	81	66	70	67	72	60	50	55	58	66	49	48	48	67	40	61

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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	Drew Comesso (R)	100.00	59	55	64	74	71	66	63	76	69	66	76	50	50	90	40	64	0
2	Arvid Soderblom (R)	100.00	61	58	56	73	70	52	69	62	65	61	75	45	45	62	40	60	0
Scratches
1	Aaron Dell	100.00	50	52	65	74	49	52	50	55	51	51	30	59	59	52	40	55	0

	TEAM AVERAGE	100.00	57	55	62	74	63	57	61	64	62	59	60	51	51	68	40	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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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	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Lukas Reichel	IceHogs (CHI)	C/LW	14	27	26	53	3	0	0	14	22	68	29	49	39.71%	10	331	23.65	8	8	16	14	41	0	2	2	3	73	1	1	37.74%	424	28	9	4	3.20	0	0	0	4	2	0
2	Colton Dach	IceHogs (CHI)	C	14	28	11	39	3	28	0	10	13	60	15	30	46.67%	8	279	19.95	11	4	15	14	38	2	0	2	3	64	1	0	49.50%	200	28	6	4	2.79	0	0	0	2	3	0
3	Brett Seney	IceHogs (CHI)	C/LW	14	14	21	35	1	18	10	34	14	45	15	23	31.11%	10	277	19.83	3	5	8	10	43	1	1	2	1	24	1	0	43.48%	23	41	7	1	2.52	1	1	0	1	1	1
4	Reese Johnson	IceHogs (CHI)	C/RW	14	6	21	27	0	11	5	42	16	45	11	19	13.33%	11	209	14.96	2	10	12	7	37	0	0	0	0	0	0	0	25.00%	8	19	6	0	2.58	0	0	0	1	0	1
5	Kevin Korchinski	IceHogs (CHI)	D	14	3	22	25	3	8	0	16	34	39	18	13	7.69%	42	454	32.44	2	4	6	14	50	0	1	1	1	69	0	0	0.00%	0	2	31	0	1.10	0	0	0	0	0	2
6	David Gust	IceHogs (CHI)	RW	14	10	14	24	-1	21	15	22	18	25	7	17	40.00%	8	265	18.97	4	5	9	5	42	1	0	1	1	16	1	1	64.71%	17	4	6	0	1.81	0	3	0	0	0	1
7	Luke Philp	IceHogs (CHI)	C	14	9	11	20	16	4	0	16	19	50	21	36	18.00%	4	188	13.47	0	0	0	0	0	0	1	1	0	22	1	0	60.00%	125	14	7	0	2.12	0	0	0	0	0	2
8	Michal Teply	IceHogs (CHI)	LW	14	3	15	18	0	2	0	23	15	22	9	14	13.64%	6	210	15.02	0	6	6	3	37	0	0	0	0	0	0	1	16.67%	12	14	5	0	1.71	0	0	0	0	0	1
9	Gerald Mayhew	IceHogs (CHI)	C/RW	14	8	8	16	12	10	0	14	8	32	9	18	25.00%	2	155	11.14	0	0	0	0	0	0	0	0	0	0	1	1	100.00%	4	19	1	0	2.05	0	0	0	0	0	1
10	Parker Wotherspoon	IceHogs (CHI)	D	14	1	11	12	9	0	0	7	41	25	20	17	4.00%	29	336	24.06	1	1	2	2	32	0	0	0	0	48	0	0	0.00%	0	2	20	0	0.71	0	0	0	0	0	0
11	Alex Vlasic	IceHogs (CHI)	D	14	0	10	10	12	83	45	28	23	13	3	14	0.00%	27	326	23.33	0	0	0	1	27	0	1	1	0	19	0	0	0.00%	0	3	12	0	0.61	4	1	4	0	0	0
12	Adam Cracknell	IceHogs (CHI)	C/RW	14	7	2	9	2	9	5	7	8	35	13	12	20.00%	3	109	7.85	0	0	0	0	0	0	0	0	0	0	1	0	55.71%	70	8	4	1	1.64	0	0	1	1	0	0
13	Wyatt Kaiser	IceHogs (CHI)	D	14	0	9	9	7	12	0	20	18	18	8	8	0.00%	13	238	17.07	0	0	0	1	18	0	0	0	0	11	0	0	0.00%	0	1	17	0	0.75	0	0	0	0	0	0
14	Austin Wagner	IceHogs (CHI)	LW/RW	14	4	4	8	14	51	35	20	10	17	4	14	23.53%	2	147	10.53	0	0	0	0	0	0	0	0	0	0	2	0	0.00%	3	9	1	0	1.08	3	1	3	0	0	0
15	William Lockwood	IceHogs (CHI)	RW	14	1	6	7	2	0	0	22	3	31	12	17	3.23%	3	109	7.85	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	4	10	2	0	1.27	0	0	0	0	0	0
16	Louis Crevier	IceHogs (CHI)	D	14	0	4	4	1	180	100	24	21	10	4	9	0.00%	26	310	22.17	0	3	3	4	34	0	0	0	0	49	0	0	0.00%	0	1	18	0	0.26	10	4	6	0	0	0
17	Mike Hardman	IceHogs (CHI)	LW/RW	14	1	0	1	2	10	0	12	6	9	4	8	11.11%	0	110	7.88	0	0	0	0	0	0	0	0	0	0	0	0	75.00%	8	1	2	0	0.18	0	0	0	0	0	0
18	Nick Swaney	IceHogs (CHI)	RW	14	0	1	1	2	0	0	1	1	3	0	2	0.00%	1	28	2.06	0	0	0	0	2	0	0	0	0	0	0	0	0.00%	2	0	1	0	0.69	0	0	0	0	0	0
19	Sean Malone	IceHogs (CHI)	C	14	0	0	0	1	5	5	1	0	0	0	0	0.00%	1	3	0.22	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	1	0	0	0.00	0	0	1	0	0	0
Team Total or Average				266	122	196	318	89	452	220	333	290	547	202	320	22.30%	206	4094	15.39	31	46	77	75	410	4	6	10	9	401	9	4	45.33%	900	205	155	10	1.55	18	10	15	9	6	9

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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	PCT	GAA	MP	GA	SA	SAR	A	ST	BG
1	Drew Comesso	IceHogs (CHI)	14	9	3	0.822	6.76	755	85	477	284	2	14	0
2	Arvid Soderblom	IceHogs (CHI)	4	0	2	0.653	12.14	84	17	49	25	0	0	14
Team Total or Average			18	9	5	0.806	7.29	840	102	526	309	2	14	14

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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
Aaron Dell	G	34	1989-05-04	No	205 Lbs	6 ft0	No	No	No	1	UFA	Farm Only		0$	0$	No	Link
Adam Cracknell	C/RW	38	1985-07-15	No	209 Lbs	6 ft3	No	No	No	1	UFA	Farm Only	500,000$	0$	0$	No	Link
Alex Vlasic	D	22	2001-06-05	No	200 Lbs	6 ft6	No	No	No	2	ELC	Farm Only	1,491,667$	0$	0$	No	Link
Arvid Soderblom	G	24	1999-08-19	Yes	180 Lbs	6 ft3	No	No	No	1	RFA	Farm Only	925,000$	0$	0$	No	Link
Austin Wagner	LW/RW	26	1997-06-23	No	185 Lbs	6 ft1	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Brett Seney	C/LW	27	1996-02-27	No	174 Lbs	5 ft9	No	No	No	1	RFA	Farm Only	750,000$	0$	0$	No	Link
Colton Dach	C	20	2003-01-04 5:02:43 PM	Yes	180 Lbs	6 ft5	No	No	No	1	ELC	Farm Only		0$	0$	No
David Gust	RW	29	1994-02-21	No	175 Lbs	5 ft10	No	No	No	2	UFA	Farm Only	762,500$	0$	0$	No	Link
Drew Comesso	G	21	2002-07-19 5:07:55 PM	Yes	180 Lbs	6 ft5	No	No	No	1	ELC	Farm Only		0$	0$	No
Ethan Prow	D	30	1992-11-17	No	182 Lbs	5 ft11	No	No	No	1	UFA	Farm Only	500,000$	0$	0$	No	Link
Gerald Mayhew	C/RW	30	1992-12-31	No	166 Lbs	5 ft9	No	No	No	1	UFA	Farm Only		0$	0$	No	Link
Justin Addamo	RW	25	1998-05-27	Yes	249 Lbs	6 ft6	No	No	No	1	RFA	Farm Only	500,000$	0$	0$	No	Link
Kevin Korchinski	D	19	2004-06-21 4:58:59 PM	Yes	180 Lbs	6 ft5	No	No	No	1	ELC	Farm Only		0$	0$	No
Louis Crevier	D	22	2001-04-05	Yes	214 Lbs	6 ft8	No	No	No	2	ELC	Farm Only	925,000$	0$	0$	No	Link
Lukas Reichel	C/LW	21	2002-05-17	Yes	170 Lbs	6 ft0	No	No	No	2	ELC	Farm Only	1,337,500$	0$	0$	No	Link
Luke Philp	C	27	1995-11-06	Yes	180 Lbs	5 ft10	No	No	No	1	RFA	Farm Only	750,000$	0$	0$	No	Link
Michal Teply	LW	22	2001-05-27	Yes	187 Lbs	6 ft3	No	No	No	2	ELC	Farm Only	919,167$	0$	0$	No	Link
Mike Hardman	LW/RW	24	1999-02-05	Yes	205 Lbs	6 ft2	No	No	No	2	RFA	Farm Only	800,000$	0$	0$	No	Link
Nick Swaney	RW	26	1997-09-09	Yes	175 Lbs	5 ft10	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Parker Wotherspoon	D	26	1997-08-24	Yes	172 Lbs	6 ft0	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Reese Johnson	C/RW	25	1998-07-10	No	192 Lbs	6 ft1	No	No	No	2	RFA	Farm Only	800,000$	0$	0$	No	Link
Sean Malone	C	28	1995-04-30	Yes	190 Lbs	6 ft0	No	No	No	1	UFA	Farm Only		0$	0$	No	Link
William Lockwood	RW	25	1998-06-20	Yes	172 Lbs	5 ft11	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Wyatt Kaiser	D	21	2002-07-31 5:11:29 PM	Yes	180 Lbs	6 ft5	No	No	No	1	ELC	Farm Only		0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	25.50	188 Lbs	6 ft2	1.29	456,701$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brett Seney	Lukas Reichel	David Gust	40	1	2	2
2	Michal Teply	Colton Dach	Reese Johnson	30	1	2	2
3	Austin Wagner	Luke Philp	Gerald Mayhew	20	1	2	2
4	Mike Hardman	Adam Cracknell	William Lockwood	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Korchinski	Louis Crevier	40	1	2	2
2	Alex Vlasic	Parker Wotherspoon	30	1	2	2
3	Wyatt Kaiser	Kevin Korchinski	20	1	2	2
4	Louis Crevier	Alex Vlasic	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brett Seney	Lukas Reichel	David Gust	60	1	2	2
2	Michal Teply	Colton Dach	Reese Johnson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Korchinski	Louis Crevier	60	1	2	2
2	Alex Vlasic	Parker Wotherspoon	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Lukas Reichel	Colton Dach	60	1	2	2
2	Brett Seney	David Gust	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Korchinski	Louis Crevier	60	1	2	2
2	Alex Vlasic	Parker Wotherspoon	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Lukas Reichel	60	1	2	2	Kevin Korchinski	Louis Crevier	60	1	2	2
2	Colton Dach	40	1	2	2	Alex Vlasic	Parker Wotherspoon	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Lukas Reichel	Colton Dach	60	1	2	2
2	Brett Seney	David Gust	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Korchinski	Louis Crevier	60	1	2	2
2	Alex Vlasic	Parker Wotherspoon	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brett Seney	Lukas Reichel	David Gust	Kevin Korchinski	Louis Crevier

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brett Seney	Lukas Reichel	David Gust	Kevin Korchinski	Louis Crevier

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nick Swaney, Sean Malone, Luke Philp	Nick Swaney, Sean Malone	Luke Philp

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Wyatt Kaiser, Parker Wotherspoon, Kevin Korchinski	Wyatt Kaiser	Parker Wotherspoon, Kevin Korchinski

Penalty Shots
Lukas Reichel, Colton Dach, Brett Seney, David Gust, Reese Johnson

Goalie
#1 : Drew Comesso, #2 : Arvid Soderblom

Custom OT Lines Forwards
Lukas Reichel, Colton Dach, Brett Seney, David Gust, Reese Johnson, Luke Philp, Luke Philp, Gerald Mayhew, Adam Cracknell, William Lockwood, Nick Swaney

Custom OT Lines Defensemen
Kevin Korchinski, Louis Crevier, Alex Vlasic, Parker Wotherspoon, Wyatt Kaiser

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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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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
14	18	L3	122	196	318	547	526	206	452	333	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	9	5	0	0	0	0	122	102

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	3	0	0	0	0	56	55

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	5	2	0	0	0	0	66	47

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	5	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
67	31	46.27%	74	30	59.46%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
227	165	155	0	58	36	28	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
126	276	45.65%	136	289	47.06%	146	335	43.58%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
301	189	323	116	215	104

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2023-09-28	4	Stars	7	IceHogs	10	W	BoxScore
3 - 2023-09-30	18	IceHogs	10	Stars	6	W	BoxScore
4 - 2023-10-01	35	IceHogs	11	Firebirds	7	W	BoxScore
6 - 2023-10-03	51	Firebirds	8	IceHogs	10	W	BoxScore
7 - 2023-10-04	68	IceHogs	7	Eagles	10	L	BoxScore
9 - 2023-10-06	83	Eagles	9	IceHogs	1	L	BoxScore
11 - 2023-10-08	102	Wild	8	IceHogs	11	W	BoxScore
14 - 2023-10-11	123	IceHogs	12	Thunderbirds	2	W	BoxScore
15 - 2023-10-12	137	Moose	5	IceHogs	11	W	BoxScore
18 - 2023-10-15	156	IceHogs	8	Moose	4	W	BoxScore
19 - 2023-10-16	163	IceHogs	11	Wild	8	W	BoxScore
20 - 2023-10-17	181	Admirals	11	IceHogs	8	L	BoxScore
22 - 2023-10-19	195	IceHogs	7	Admirals	10	L	BoxScore
25 - 2023-10-22	212	Thunderbirds	7	IceHogs	5	L	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,096,084$	1,096,084$	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$	0	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
6	14	9	5	0	0	0	0	0	122	102	20	7	4	3	0	0	0	0	0	56	55	1	7	5	2	0	0	0	0	0	66	47	19	18	122	196	318	0	0	58	36	28	0	547	227	165	155	0	526	206	452	333	67	31	46.27%	74	30	59.46%	4	126	276	45.65%	136	289	47.06%	146	335	43.58%	301	189	323	116	215	104
Total Regular Season	14	9	5	0	0	0	0	0	122	102	20	7	4	3	0	0	0	0	0	56	55	1	7	5	2	0	0	0	0	0	66	47	19	18	122	196	318	0	0	58	36	28	0	547	227	165	155	0	526	206	452	333	67	31	46.27%	74	30	59.46%	4	126	276	45.65%	136	289	47.06%	146	335	43.58%	301	189	323	116	215	104