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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	Brendan Gaunce	X	X			100.00	77	79	71	67	79	64	63	68	80	66	66	67	63	47	47	67	40	63	0
2	Rasmus Asplund	X	X			100.00	65	42	96	77	69	58	80	59	41	61	56	72	25	61	61	63	40	62	0
3	Axel Jonsson-Fjallby (R)		X			100.00	73	42	94	65	64	57	66	61	30	63	62	72	25	48	48	66	40	61	0
4	Joshua Dunne (R)	X				100.00	77	80	70	66	80	65	67	60	75	54	62	65	59	45	45	63	40	60	0
5	Joona Luoto		X	X		100.00	79	73	92	67	73	59	59	59	50	52	62	66	59	46	46	64	40	59	0
6	Carsen Twarynski		X			100.00	73	73	72	63	73	80	87	56	50	46	61	62	58	45	45	62	40	59	0
7	Jasper Weatherby (R)	X				100.00	80	81	79	73	81	81	89	50	63	47	47	64	45	44	44	57	40	59	0
8	Noah Philp (R)	X				100.00	76	76	75	66	76	59	59	59	74	53	60	64	57	44	44	62	40	59	0
9	Linus Weissbach (R)		X	X		100.00	64	58	79	63	58	79	84	61	50	58	60	58	57	44	44	62	40	59	0
10	Josh Melnick	X		X		100.00	73	65	91	66	65	67	70	59	74	55	58	62	55	44	44	62	40	59	0
11	Cole Koepke (R)		X	X		100.00	84	45	95	63	72	53	85	54	25	50	57	64	25	45	45	61	40	58	0
12	Tyler Angle (R)	X				100.00	70	62	87	63	62	79	86	54	68	48	56	60	53	44	44	60	40	58	0
13	Jeff Kubiak (R)	X				100.00	80	79	81	67	79	74	80	52	65	49	51	64	48	44	44	58	40	58	0
14	Connor Mackey (R)				X	100.00	85	99	57	71	78	64	62	55	25	50	50	77	75	47	47	61	40	64	0
15	Kristians Rubins (R)				X	100.00	84	85	83	67	85	65	70	47	25	37	41	65	39	44	44	53	40	60	0
16	Billy Sweezey (R)				X	100.00	75	79	66	63	79	76	84	47	25	39	39	60	37	44	44	52	40	59	0
17	David Jiricek (R)				X	100.00	74	71	81	64	71	62	64	57	25	55	45	62	43	44	44	57	40	59	0
18	Luke Witkowski			X	X	100.00	78	79	74	71	79	59	63	46	45	35	39	65	37	56	56	52	40	59	0
19	Samuel Knazko (R)				X	100.00	76	70	89	64	70	61	64	52	25	50	39	62	37	44	44	54	40	58	0
Scratches
1	Anton Blidh		X	X		100.00	78	44	90	69	73	46	66	58	33	50	55	65	25	61	61	59	40	58	0
2	Ole Julian Bjorgvik Holm (R)				X	100.00	78	72	91	67	72	56	59	44	25	34	39	61	37	44	44	50	40	56	0

	TEAM AVERAGE					100.00	76	69	82	67	73	65	72	55	46	50	53	65	46	47	47	59	40	59

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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
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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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Zane McIntyre (R)	100.00	50	52	65	79	49	54	51	56	54	53	30	44	44	52	40	54	0
2	Jet Greaves (R)	100.00	49	50	63	65	49	51	50	55	51	51	30	44	44	51	40	52	0
Scratches

	TEAM AVERAGE	100.00	50	51	64	72	49	53	51	56	53	52	30	44	44	52	40	53

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

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Priority	Type	Description
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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`)
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	FO%	FOT	GA	TA	HT	P/20	PSS	FW	FL	FT	S1	S2	S3
1	Brendan Gaunce	Monsters (CBJ)	C/LW	14	22	14	36	-27	43	15	24	23	87	25	49	25.29%	20	351	25.07	6	8	14	17	54	2	0	2	8	63	0	53.61%	388	34	11	2	2.05	1	0	1	2	1	1	1
2	Rasmus Asplund	Monsters (CBJ)	C/LW	14	4	20	24	-24	2	0	6	16	44	14	36	9.09%	15	311	22.28	4	8	12	14	58	0	2	2	1	77	0	21.74%	23	36	12	0	1.54	0	0	0	0	0	0	0
3	Joshua Dunne	Monsters (CBJ)	C	14	10	9	19	-14	90	50	26	25	37	24	41	27.03%	9	251	17.95	4	6	10	9	51	0	0	0	0	13	0	52.77%	235	33	4	0	1.51	0	2	3	5	0	0	0
4	Axel Jonsson-Fjallby	Monsters (CBJ)	LW	14	6	12	18	-18	0	0	16	21	49	22	29	12.24%	11	280	20.02	2	7	9	9	54	0	0	0	2	22	0	31.03%	29	38	12	0	1.28	0	0	0	0	0	1	0
5	Josh Melnick	Monsters (CBJ)	C/RW	14	5	9	14	-16	4	0	21	11	40	10	22	12.50%	2	248	17.75	4	3	7	13	54	0	0	0	0	0	0	70.00%	10	18	2	1	1.13	0	0	0	0	0	0	0
6	Joona Luoto	Monsters (CBJ)	LW/RW	14	5	8	13	-23	4	0	15	8	29	14	24	17.24%	6	222	15.90	1	4	5	6	59	0	0	0	0	0	0	57.89%	19	12	8	1	1.17	0	0	0	0	0	0	0
7	Linus Weissbach	Monsters (CBJ)	LW/RW	14	5	5	10	-24	2	0	6	10	45	20	29	11.11%	2	169	12.13	0	0	0	0	0	0	0	0	0	0	1	0.00%	6	19	3	0	1.18	0	0	0	0	0	0	0
8	Carsen Twarynski	Monsters (CBJ)	LW	14	5	2	7	-25	8	0	20	16	37	20	23	13.51%	3	204	14.64	0	0	0	0	0	0	0	0	3	26	0	51.61%	31	21	6	0	0.68	0	0	0	0	0	0	0
9	Kristians Rubins	Monsters (CBJ)	D	14	0	7	7	-29	52	40	34	19	27	8	11	0.00%	26	378	27.00	0	1	1	7	65	0	2	2	0	58	0	0.00%	0	2	17	0	0.37	0	3	3	2	0	0	0
10	Connor Mackey	Monsters (CBJ)	D	14	3	2	5	-20	293	165	30	18	16	11	10	18.75%	32	262	18.73	3	0	3	4	44	0	0	0	0	41	0	0.00%	0	1	18	0	0.38	0	18	4	11	0	0	0
11	David Jiricek	Monsters (CBJ)	D	14	0	5	5	-29	4	0	19	20	16	7	6	0.00%	23	317	22.65	0	1	1	2	51	0	0	0	1	40	0	0.00%	0	0	17	0	0.32	0	0	0	0	0	0	0
12	Jasper Weatherby	Monsters (CBJ)	C	14	0	5	5	-22	139	95	15	19	16	4	10	0.00%	5	143	10.24	0	0	0	0	0	0	0	0	0	0	0	49.17%	120	3	1	0	0.70	0	7	5	7	0	0	0
13	Noah Philp	Monsters (CBJ)	C	14	2	3	5	-3	4	0	9	11	10	7	6	20.00%	3	67	4.80	0	0	0	0	0	0	0	0	0	0	0	45.45%	44	9	2	0	1.49	0	0	0	0	0	0	0
14	Billy Sweezey	Monsters (CBJ)	D	14	0	4	4	-20	44	20	25	11	9	5	4	0.00%	9	266	19.03	0	1	1	3	42	0	0	0	0	26	0	0.00%	0	0	15	0	0.30	0	1	0	3	0	0	0
15	Samuel Knazko	Monsters (CBJ)	D	14	0	3	3	-14	8	0	7	8	9	3	4	0.00%	16	216	15.47	0	0	0	0	1	0	0	0	1	41	0	0.00%	0	2	9	0	0.28	0	0	0	0	0	0	0
16	Luke Witkowski	Monsters (CBJ)	RW/D	14	0	3	3	-31	45	25	20	9	11	2	9	0.00%	11	248	17.73	0	0	0	0	23	0	0	0	0	3	0	0.00%	0	0	12	0	0.24	0	2	1	2	0	0	0
17	Cole Koepke	Monsters (CBJ)	LW/RW	14	0	2	2	-3	0	0	7	6	7	3	5	0.00%	4	66	4.74	0	0	0	0	0	0	0	0	0	0	0	25.00%	4	2	0	0	0.60	0	0	0	0	0	0	0
18	Tyler Angle	Monsters (CBJ)	C	14	0	0	0	0	0	0	0	2	2	0	1	0.00%	1	9	0.68	0	0	0	1	1	0	0	0	0	0	0	0.00%	4	0	0	0	0.00	0	0	0	0	0	0	0
19	Jeff Kubiak	Monsters (CBJ)	C	14	0	0	0	-8	5	5	8	8	6	0	2	0.00%	3	67	4.85	0	0	0	1	7	0	0	0	0	7	0	50.00%	50	1	3	0	0.00	0	0	0	1	0	0	0
Team Total or Average				266	67	113	180	-350	747	415	308	261	497	199	321	13.48%	201	4083	15.35	24	39	63	86	570	2	4	6	16	425	1	50.36%	963	231	152	4	0.88	1	33	17	33	1	2	1

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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	ST	BG
1	Zane McIntyre	Monsters (CBJ)	14	1	9	0.791	8.09	734	99	473	289	14	0
2	Jet Greaves	Monsters (CBJ)	11	0	4	0.380	25.39	104	44	71	16	0	14
Team Total or Average			25	1	13	0.737	10.23	839	143	544	305	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
Anton Blidh	LW/RW	28	1995-03-13	No	201 Lbs	6 ft0	No	No	No	1	UFA	Farm Only		0$	0$	No	Link
Axel Jonsson-Fjallby	LW	25	1998-02-10	Yes	170 Lbs	6 ft0	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Billy Sweezey	D	27	1996-02-06	Yes	205 Lbs	6 ft2	No	No	No	2	RFA	Farm Only	762,500$	0$	0$	No	Link
Brendan Gaunce	C/LW	29	1994-03-25	No	217 Lbs	6 ft2	No	No	No	2	UFA	Farm Only	762,500$	0$	0$	No	Link
Carsen Twarynski	LW	25	1997-11-24	No	198 Lbs	6 ft2	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Cole Koepke	LW/RW	25	1998-05-17	Yes	195 Lbs	6 ft1	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Connor Mackey	D	27	1996-09-12	Yes	201 Lbs	6 ft2	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
David Jiricek	D	19	2003-11-28	Yes	189 Lbs	6 ft3	No	No	No	3	ELC	Farm Only	1,950,000$	0$	0$	No	Link
Jasper Weatherby	C	25	1998-01-22	Yes	216 Lbs	6 ft4	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Jeff Kubiak	C	29	1994-01-18	Yes	212 Lbs	6 ft3	No	No	No	1	UFA	Farm Only		0$	0$	No	Link
Jet Greaves	G	22	2001-03-30	Yes	180 Lbs	6 ft0	No	No	No	2	ELC	Farm Only	758,333$	0$	0$	No	Link
Joona Luoto	LW/RW	26	1997-09-26	No	192 Lbs	6 ft3	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Josh Melnick	C/RW	28	1995-07-10	No	181 Lbs	5 ft10	No	No	No	1	UFA	Farm Only	500,000$	0$	0$	No	Link
Joshua Dunne	C	25	1998-08-12	Yes	210 Lbs	6 ft4	No	No	No	1	RFA	Farm Only	874,125$	0$	0$	No	Link
Kristians Rubins	D	25	1997-12-11	Yes	227 Lbs	6 ft5	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Linus Weissbach	LW/RW	25	1998-04-19	Yes	161 Lbs	5 ft9	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Luke Witkowski	RW/D	33	1990-04-14	No	217 Lbs	6 ft2	No	No	No	1	UFA	Farm Only		0$	0$	No	Link
Noah Philp	C	25	1998-08-31	Yes	200 Lbs	6 ft3	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Ole Julian Bjorgvik Holm	D	21	2002-05-23	Yes	190 Lbs	6 ft2	No	No	No	3	ELC	Farm Only	896,667$	0$	0$	No	Link
Rasmus Asplund	C/LW	25	1997-12-03	No	190 Lbs	5 ft11	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Samuel Knazko	D	21	2002-07-08	Yes	191 Lbs	6 ft0	No	No	No	3	ELC	Farm Only	902,500$	0$	0$	No	Link
Tyler Angle	C	23	2000-09-30	Yes	172 Lbs	5 ft10	No	No	No	2	RFA	Farm Only	925,000$	0$	0$	No	Link
Zane McIntyre	G	31	1992-08-20	Yes	206 Lbs	6 ft2	No	No	No	1	UFA	Farm Only		0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	25.61	197 Lbs	6 ft1	1.43	362,245$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Rasmus Asplund	Brendan Gaunce	Joona Luoto	40	1	2	2
2	Axel Jonsson-Fjallby	Joshua Dunne	Josh Melnick	30	1	2	2
3	Carsen Twarynski	Jasper Weatherby	Linus Weissbach	20	1	2	2
4	Cole Koepke	Noah Philp	Brendan Gaunce	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor Mackey	Kristians Rubins	40	1	2	2
2	David Jiricek	Billy Sweezey	30	1	2	2
3	Luke Witkowski	Samuel Knazko	20	1	2	2
4	Connor Mackey	Kristians Rubins	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Rasmus Asplund	Brendan Gaunce	Joona Luoto	60	1	2	2
2	Axel Jonsson-Fjallby	Joshua Dunne	Josh Melnick	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor Mackey	Kristians Rubins	60	1	2	2
2	David Jiricek	Billy Sweezey	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brendan Gaunce	Rasmus Asplund	60	1	2	2
2	Axel Jonsson-Fjallby	Joshua Dunne	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor Mackey	Kristians Rubins	60	1	2	2
2	David Jiricek	Billy Sweezey	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Brendan Gaunce	60	1	2	2	Connor Mackey	Kristians Rubins	60	1	2	2
2	Rasmus Asplund	40	1	2	2	David Jiricek	Billy Sweezey	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brendan Gaunce	Rasmus Asplund	60	1	2	2
2	Axel Jonsson-Fjallby	Joshua Dunne	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor Mackey	Kristians Rubins	60	1	2	2
2	David Jiricek	Billy Sweezey	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Rasmus Asplund	Brendan Gaunce	Joona Luoto	Connor Mackey	Kristians Rubins

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Rasmus Asplund	Brendan Gaunce	Joona Luoto	Connor Mackey	Kristians Rubins

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jeff Kubiak, Tyler Angle, Carsen Twarynski	Jeff Kubiak, Tyler Angle	Carsen Twarynski

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Luke Witkowski, Samuel Knazko, David Jiricek	Luke Witkowski	Samuel Knazko, David Jiricek

Penalty Shots
Brendan Gaunce, Rasmus Asplund, Axel Jonsson-Fjallby, Joshua Dunne, Joona Luoto

Goalie
#1 : Zane McIntyre, #2 : Jet Greaves

Custom OT Lines Forwards
Brendan Gaunce, Rasmus Asplund, Axel Jonsson-Fjallby, Joshua Dunne, Joona Luoto, Josh Melnick, Josh Melnick, Luke Witkowski, Carsen Twarynski, Jasper Weatherby, Noah Philp

Custom OT Lines Defensemen
Connor Mackey, Kristians Rubins, David Jiricek, Billy Sweezey, Luke Witkowski

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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 a single, non-space character.
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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	2	L2	67	113	180	497	544	201	747	308	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	1	13	0	0	0	0	67	143

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	6	0	0	0	0	35	66

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	0	7	0	0	0	0	32	77

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	9	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
79	24	30.38%	87	30	65.52%	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
187	162	148	0	25	28	14	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
161	338	47.63%	160	297	53.87%	164	328	50.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
317	200	311	108	211	105

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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!
2 - 2023-09-29	15	Comets	11	Monsters	3	L	BoxScore
3 - 2023-09-30	27	Monsters	8	Wolves	10	L	BoxScore
5 - 2023-10-02	41	Monsters	5	Islanders	15	L	BoxScore
6 - 2023-10-03	57	Penguins	11	Monsters	2	L	BoxScore
8 - 2023-10-05	76	Monsters	2	Comets	7	L	BoxScore
10 - 2023-10-07	90	Bears	10	Monsters	4	L	BoxScore
11 - 2023-10-08	107	Monsters	3	Wolf Pack	9	L	BoxScore
14 - 2023-10-11	120	Phantoms	8	Monsters	7	L	BoxScore
15 - 2023-10-12	131	Monsters	8	Phantoms	12	L	BoxScore
17 - 2023-10-14	150	Wolf Pack	9	Monsters	2	L	BoxScore
18 - 2023-10-15	155	Monsters	1	Bears	14	L	BoxScore
20 - 2023-10-17	179	Wolves	6	Monsters	9	W	BoxScore
21 - 2023-10-18	184	Monsters	5	Penguins	10	L	BoxScore
25 - 2023-10-22	214	Islanders	11	Monsters	8	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$	833,162$	833,162$	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	1	13	0	0	0	0	0	67	143	-76	7	1	6	0	0	0	0	0	35	66	-31	7	0	7	0	0	0	0	0	32	77	-45	2	67	113	180	0	0	25	28	14	0	497	187	162	148	0	544	201	747	308	79	24	30.38%	87	30	65.52%	2	161	338	47.63%	160	297	53.87%	164	328	50.00%	317	200	311	108	211	105
Total Regular Season	14	1	13	0	0	0	0	0	67	143	-76	7	1	6	0	0	0	0	0	35	66	-31	7	0	7	0	0	0	0	0	32	77	-45	2	67	113	180	0	0	25	28	14	0	497	187	162	148	0	544	201	747	308	79	24	30.38%	87	30	65.52%	2	161	338	47.63%	160	297	53.87%	164	328	50.00%	317	200	311	108	211	105