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Florida Panthers
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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	Brett Murray	0		X			100.00	83	75	79	56	95	79	84	57	68	58	59	63	55	66	68	59	50	63	0
2	John Hayden	0	X	X	X		100.00	76	81	69	62	88	81	82	59	63	58	64	62	61	70	71	53	50	63	0
3	Adam Beckman	0		X			100.00	67	38	86	64	77	87	83	63	58	60	62	61	60	64	65	67	50	63	0
4	Artem Anisimov	0	X				100.00	77	39	95	59	86	75	73	58	63	57	56	60	62	76	78	34	50	62	0
5	Gage Goncalves	0	X				100.00	64	38	81	62	70	78	87	63	73	65	57	58	62	63	65	67	50	62	0
6	Hugh McGing	0	X	X			100.00	65	38	74	62	64	80	84	59	66	63	58	61	57	66	68	54	50	61	0
7	Tristen Robins	0	X				100.00	61	35	92	59	66	82	80	58	65	57	56	59	58	63	65	69	50	60	0
8	Joel Teasdale	0	X	X			100.00	68	38	87	59	77	81	83	57	53	55	58	56	59	65	67	42	50	60	0
9	Spencer Smallman	0			X		100.00	68	41	77	59	77	75	81	57	54	55	58	56	59	68	70	47	50	60	0
10	Michael Milne	0		X			100.00	60	39	85	59	69	79	78	56	60	58	57	55	59	62	64	66	50	59	0
11	Josh Currie	0	X				100.00	56	38	80	58	65	81	71	57	65	58	59	54	58	72	74	27	50	59	0
12	Marcel Marcel	0		X			100.00	86	40	95	58	95	67	64	57	53	56	50	60	52	61	63	58	50	59	0
13	Matthew Maggio (R)	0			X		100.00	60	38	89	61	69	80	71	59	64	60	57	55	58	62	64	56	50	59	0
14	Nathan Smith	0	X				100.00	66	38	79	59	70	73	71	57	66	58	56	60	55	66	68	60	50	59	0
15	Tyler Wotherspoon	0				X	100.00	73	39	90	58	82	71	84	56	30	59	53	58	46	71	73	54	50	63	0
16	Ben Gleason	0				X	100.00	64	39	82	59	73	71	84	58	30	61	56	57	48	66	68	42	50	61	0
17	Brady Keeper	0				X	100.00	71	47	62	56	80	65	70	55	30	54	53	57	45	68	70	36	50	60	0
Scratches
1	Alex Laferriere (R)	0			X		100.00	69	52	83	65	78	92	75	63	58	60	62	61	65	63	67	66	50	63	0
2	Ozzy Wiesblatt	0	X				100.00	60	40	73	59	69	67	77	58	64	57	55	56	58	62	64	78	50	58	0
3	Curtis Hall	0	X				100.00	74	39	91	56	83	69	70	55	61	54	53	57	56	64	66	58	50	58	0
4	Jayden Grubbe (R)	0	X				100.00	75	42	75	56	84	69	72	54	60	52	55	57	53	61	63	67	50	58	0
5	Antti Saarela (R)	0	X				100.00	60	37	93	56	69	67	64	53	58	54	55	52	57	63	65	58	50	56	0
6	Tanner Dickinson (R)	0	X				100.00	62	35	93	54	62	67	62	53	59	51	57	50	55	62	64	60	50	55	0
7	Samuel Knazko	0				X	100.00	64	37	91	58	77	81	78	56	30	57	54	60	47	62	64	65	50	61	0
8	Donovan Sebrango	0				X	100.00	66	44	69	54	75	62	73	53	30	55	52	56	45	62	64	68	50	58	0

	TEAM AVERAGE					100.00	68	43	83	59	76	75	76	57	55	57	56	58	56	65	67	56	50	60

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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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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
Scratches
1	Mads Sogaard	100.00	78	85	81	95	77	76	78	77	76	78	77	64	71	74	50	76	0
2	Nico Daws	98.00	77	82	78	87	76	75	77	76	75	77	76	64	71	63	50	75	0
3	Ales Stezka	100.00	77	75	71	84	76	75	77	76	75	77	76	67	78	51	50	74	0
4	Ivan Fedotov	100.00	75	70	65	98	74	73	75	74	73	75	74	67	81	57	50	74	0
5	Keith Kinkaid	100.00	74	80	75	79	73	72	74	73	72	74	73	77	89	43	50	73	0
6	Conor Murphy	100.00	73	72	68	88	72	71	73	72	71	73	72	66	75	55	50	71	0
7	Mitchell Weeks	100.00	69	73	69	81	68	67	69	68	67	69	68	63	69	45	50	68	0

	TEAM AVERAGE	99.71	75	77	72	87	74	73	75	74	73	75	74	67	76	55	50	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Chris Taylor	67	70	76	71	78	72	73	CAN	52	2	100,000$

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7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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#	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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	FW	S1	S2	S3
1	John Hayden	Checkers (Flo)	C/LW/RW	19	12	14	26	14	51	5	30	37	74	22	39	16.22%	1	289	15.25	2	2	4	5	46	0	0	1	0	58.82%	391	0	1.79	1	2	1	1
2	Matthew Maggio	Checkers (Flo)	RW	19	9	11	20	14	2	0	1	18	57	14	51	15.79%	3	291	15.33	1	2	3	7	46	0	0	1	0	58.62%	29	0	1.37	0	1	2	2
3	Ben Gleason	Checkers (Flo)	D	19	5	13	18	4	16	0	33	20	30	12	21	16.67%	26	386	20.35	5	3	8	21	68	0	75	1	0	0.00%	0	0	0.93	0	2	1	0
4	Brett Murray	Checkers (Flo)	LW	19	5	12	17	14	16	0	35	22	60	24	42	8.33%	5	319	16.80	0	2	2	12	46	4	26	1	0	51.85%	54	0	1.07	0	0	0	2
5	Adam Beckman	Checkers (Flo)	LW	19	7	10	17	13	6	0	9	16	41	9	30	17.07%	5	177	9.33	0	0	0	0	0	0	0	1	0	50.00%	16	0	1.92	0	0	1	1
6	Gage Goncalves	Checkers (Flo)	C	19	7	9	16	11	6	0	21	16	51	10	20	13.73%	3	226	11.92	0	0	0	0	0	0	0	2	0	53.33%	60	0	1.41	0	1	1	2
7	Artem Anisimov	Checkers (Flo)	C	19	5	10	15	13	6	0	11	20	38	20	21	13.16%	3	174	9.19	0	0	0	0	0	0	0	0	0	64.33%	157	0	1.72	0	0	1	1
8	Alex Laferriere	Checkers (Flo)	RW	16	8	6	14	6	8	0	36	35	92	25	62	8.70%	6	330	20.68	1	3	4	19	61	0	25	0	1	78.26%	23	1	0.85	0	3	1	0
9	Brady Keeper	Checkers (Flo)	D	19	1	11	12	12	38	0	62	16	17	3	12	5.88%	23	273	14.40	0	0	0	7	13	0	14	1	0	0.00%	0	0	0.88	0	1	0	0
10	Tyler Wotherspoon	Checkers (Flo)	D	19	2	9	11	10	54	0	56	24	47	8	23	4.26%	25	448	23.61	2	1	3	31	67	1	77	0	0	0.00%	0	0	0.49	0	0	1	1
11	Samuel Knazko	Checkers (Flo)	D	16	1	5	6	1	14	0	31	15	24	6	12	4.17%	16	322	20.13	1	1	2	12	50	0	71	0	0	0.00%	0	0	0.37	0	0	0	1
12	Nick Cousins	Florida Panthers	C/LW	6	0	3	3	1	8	0	6	19	9	6	16	0.00%	2	144	24.12	0	1	1	1	19	1	39	0	0	54.92%	193	0	0.41	0	0	0	0
13	Pat Maroon	Florida Panthers	LW	7	2	0	2	2	17	5	18	14	16	2	20	12.50%	2	157	22.45	0	0	0	2	24	1	43	0	0	69.23%	13	0	0.25	1	0	0	0
14	Tristen Robins	Checkers (Flo)	C	19	0	1	1	1	4	0	2	0	5	1	6	0.00%	1	36	1.92	0	0	0	2	12	0	5	0	0	76.47%	17	0	0.55	0	0	0	0
15	Marcel Marcel	Checkers (Flo)	LW	19	1	0	1	1	2	0	0	0	1	0	0	100.00%	2	22	1.19	0	0	0	0	0	0	18	1	0	64.29%	14	0	0.88	0	0	0	0
16	Joel Teasdale	Checkers (Flo)	C/LW	19	0	0	0	0	0	0	1	2	4	1	2	0.00%	0	14	0.76	0	0	0	1	4	0	6	0	0	0.00%	2	0	0.00	0	0	0	0
Team Total or Average				273	65	114	179	117	248	10	352	274	566	163	377	11.48%	123	3616	13.25	12	15	27	120	464	7	405	9	1	58.93%	969	1	0.99	2	10	9	11

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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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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	PIM	SO	GA	SA	A	ST	BG	S1	S3
1	Mads Sogaard	Checkers (Flo)	15	8	7	0.917	2.21	898	2	2	33	397	1	15	0	2	4
2	Nico Daws	Checkers (Flo)	4	2	2	0.923	2.52	238	0	0	10	130	0	4	19	0	0
Team Total or Average			19	10	9	0.918	2.27	1136	2	2	43	527	1	19	19	2	4

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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 Beckman	LW	23	2001-05-10	No	182 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Ales Stezka	G	27	1997-01-06	No	190 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Alex Laferriere	RW	23	2001-10-28	Yes	205 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	NHL Link
Antti Saarela	C	23	2001-06-27	Yes	183 Lbs	5 ft11	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	NHL Link
Artem Anisimov	C	36	1988-05-24	No	199 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ben Gleason	D	26	1998-03-25	No	180 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Brady Keeper	D	28	1996-06-05	No	197 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Brett Murray	LW	26	1998-07-20	No	228 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Conor Murphy	G	26	1998-09-01	No	201 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Curtis Hall	C	24	2000-04-26	No	197 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Donovan Sebrango	D	22	2002-01-12	No	189 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Gage Goncalves	C	23	2001-01-16	No	188 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Hugh McGing	C/LW	26	1998-07-11	No	176 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ivan Fedotov	G	28	1996-11-28	No	214 Lbs	6 ft7	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jayden Grubbe	C	21	2003-01-12	Yes	201 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	NHL Link
Joel Teasdale	C/LW	25	1999-03-11	No	212 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
John Hayden	C/LW/RW	29	1995-02-14	No	223 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Josh Currie	C	32	1992-10-29	No	172 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Keith Kinkaid	G	35	1989-07-04	No	195 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Mads Sogaard	G	23	2000-12-13	No	196 Lbs	6 ft7	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Marcel Marcel	LW	21	2003-10-31	No	242 Lbs	6 ft4	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Matthew Maggio	RW	22	2002-11-25	Yes	185 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	NHL Link
Michael Milne	LW	22	2002-09-21	No	185 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Mitchell Weeks	G	23	2001-06-22	No	187 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Nathan Smith	C	26	1998-10-19	No	177 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Nico Daws	G	23	2000-12-22	No	205 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ozzy Wiesblatt	C	22	2002-03-09	No	183 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Samuel Knazko	D	22	2002-08-07	No	198 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Spencer Smallman	RW	28	1996-09-09	No	198 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Tanner Dickinson	C	22	2002-03-05	Yes	150 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	NHL Link
Tristen Robins	C	23	2001-11-15	No	176 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Tyler Wotherspoon	D	31	1993-03-12	No	207 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
32	25.34	194 Lbs	6 ft2	2.44	420,313$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2	Brett Murray	John Hayden	Matthew Maggio	30	1	2	2
3	Adam Beckman	Artem Anisimov	Gage Goncalves	20	1	2	2
4		Gage Goncalves		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Tyler Wotherspoon	40	1	2	2
2		Ben Gleason	30	1	2	2
3	Brady Keeper		20	1	2	2
4		Tyler Wotherspoon	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2	Brett Murray	John Hayden	Matthew Maggio	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Tyler Wotherspoon	60	1	2	2
2		Ben Gleason	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2	Brett Murray		40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Tyler Wotherspoon	60	1	2	2
2		Ben Gleason	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		Tyler Wotherspoon	60	1	2	2
2		40	1	2	2		Ben Gleason	40	1	2	2

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Tyler Wotherspoon	60	1	2	2
2		Ben Gleason	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
				Tyler Wotherspoon

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
				Tyler Wotherspoon

Extra Forwards
Normal	PowerPlay	Penalty Kill
Tristen Robins, Joel Teasdale, Marcel Marcel	Tristen Robins, Joel Teasdale	Marcel Marcel

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Brady Keeper, , Ben Gleason	Brady Keeper	, Ben Gleason

Penalty Shots
, , Brett Murray, , Adam Beckman

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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.
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7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
19	20	L2	67	124	191	622	527	138	256	372	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	9	9	1	0	0	0	67	43

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	4	1	0	0	0	47	25

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	4	5	0	0	0	0	20	18

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	6	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
92	12	13.04%	113	14	87.61%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
191	196	233	2	28	20	18	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
304	605	50.25%	297	633	46.92%	147	283	51.94%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
478	346	445	129	217	108

Last Played Games Show or Hide Column

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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	OT	Link
9 - 2024-09-24	10	Checkers	0	Penguins	1	L		BoxScore
10 - 2024-09-25	23	Checkers	4	Islanders	2	W		BoxScore
15 - 2024-09-30	33	Monsters	4	Checkers	5	W	X	BoxScore
16 - 2024-10-01	46	Monsters	3	Checkers	5	W		BoxScore
22 - 2024-10-07	71	Islanders	3	Checkers	2	L		BoxScore
23 - 2024-10-08	84	Islanders	3	Checkers	2	L		BoxScore
30 - 2024-10-15	123	Checkers	2	Bears	1	W		BoxScore
31 - 2024-10-16	136	Checkers	7	Bears	0	W		BoxScore
37 - 2024-10-22	156	Marlies	0	Checkers	6	W		BoxScore
38 - 2024-10-23	173	Marlies	2	Checkers	8	W		BoxScore
43 - 2024-10-28	190	Checkers	2	Wolfpack	6	L		BoxScore
44 - 2024-10-29	210	Checkers	2	Thunderbirds	4	L		BoxScore
47 - 2024-11-01	220	Checkers	0	Wolfpack	1	L		BoxScore
50 - 2024-11-04	234	Checkers	2	Thunderbirds	1	W		BoxScore
51 - 2024-11-05	246	Checkers	1	Islanders	2	L		BoxScore
57 - 2024-11-11	267	Wild	2	Checkers	5	W		BoxScore
58 - 2024-11-12	279	Wild	1	Checkers	9	W		BoxScore
64 - 2024-11-18	309	Americans	4	Checkers	3	L		BoxScore
65 - 2024-11-19	320	Americans	3	Checkers	2	L		BoxScore
69 - 2024-11-23	347	Checkers	-	Penguins	-
71 - 2024-11-25	356	Checkers	-	Penguins	-
72 - 2024-11-26	364	Checkers	-	Bears	-
75 - 2024-11-29	383	Thunderbirds	-	Checkers	-
76 - 2024-11-30	387	Thunderbirds	-	Checkers	-
79 - 2024-12-03	410	Islanders	-	Checkers	-
80 - 2024-12-04	425	Islanders	-	Checkers	-
86 - 2024-12-10	446	Checkers	-	Phantoms	-
87 - 2024-12-11	452	Checkers	-	Bears	-
89 - 2024-12-13	463	Checkers	-	Phantoms	-
92 - 2024-12-16	474	Checkers	-	Penguins	-
99 - 2024-12-23	509	Bears	-	Checkers	-
100 - 2024-12-24	523	Bears	-	Checkers	-
103 - 2024-12-27	542	Admirals	-	Checkers	-
104 - 2024-12-28	547	Admirals	-	Checkers	-
107 - 2024-12-31	565	Wolfpack	-	Checkers	-
108 - 2025-01-01	581	Wolfpack	-	Checkers	-
111 - 2025-01-04	597	Checkers	-	Wild	-
113 - 2025-01-06	608	Checkers	-	Admirals	-
114 - 2025-01-07	618	Checkers	-	Admirals	-
117 - 2025-01-10	634	Checkers	-	Wild	-
120 - 2025-01-13	647	Penguins	-	Checkers	-
121 - 2025-01-14	663	Penguins	-	Checkers	-
127 - 2025-01-20	676	Checkers	-	Wolfpack	-
128 - 2025-01-21	694	Checkers	-	Islanders	-
135 - 2025-01-28	729	Wolfpack	-	Checkers	-
136 - 2025-01-29	747	Wolfpack	-	Checkers	-
142 - 2025-02-04	778	Bears	-	Checkers	-
143 - 2025-02-05	793	Bears	-	Checkers	-
148 - 2025-02-10	816	Checkers	-	Monsters	-
149 - 2025-02-11	829	Checkers	-	Monsters	-
152 - 2025-02-14	846	Thunderbirds	-	Checkers	-
153 - 2025-02-15	851	Thunderbirds	-	Checkers	-
156 - 2025-02-18	871	Phantoms	-	Checkers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19	883	Phantoms	-	Checkers	-
160 - 2025-02-22	897	Checkers	-	Americans	-
163 - 2025-02-25	912	Checkers	-	Marlies	-
164 - 2025-02-26	927	Checkers	-	Marlies	-
167 - 2025-03-01	937	Checkers	-	Comets	-
169 - 2025-03-03	952	Checkers	-	Americans	-
170 - 2025-03-04	964	Checkers	-	Comets	-
173 - 2025-03-07	979	Bruins	-	Checkers	-
174 - 2025-03-08	983	Bruins	-	Checkers	-
177 - 2025-03-11	1002	Penguins	-	Checkers	-
178 - 2025-03-12	1017	Penguins	-	Checkers	-
183 - 2025-03-17	1044	Checkers	-	Bruins	-
184 - 2025-03-18	1052	Checkers	-	Islanders	-
185 - 2025-03-19	1065	Checkers	-	Bruins	-
191 - 2025-03-25	1092	Comets	-	Checkers	-
192 - 2025-03-26	1106	Comets	-	Checkers	-
195 - 2025-03-29	1112	Checkers	-	Wolfpack	-
197 - 2025-03-31	1129	Checkers	-	Thunderbirds	-
198 - 2025-04-01	1145	Checkers	-	Thunderbirds	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	18,603	9,373
Attendance PCT	93.02%	93.73%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
26	2798 - 93.25%	69,670$	696,696$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
82,121$	134,500$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	48,432$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,811,410$	132	1,178$	155,496$

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
12	82	27	47	0	4	1	0	3	229	277	-48	41	10	27	0	3	0	0	1	103	146	-43	41	17	20	0	1	1	0	2	126	131	-5	66	229	421	650	2	7	0	89	87	49	2312	0	738	806	751	2896	824	938	1675	451	65	14.41%	387	57	85.27%	3	985	2317	42.51%	1140	2724	41.85%	493	1203	40.98%	1669	1152	2348	600	926	425
13	76	14	54	0	4	3	0	1	187	334	-147	38	9	23	0	2	3	0	1	107	157	-50	38	5	31	0	2	0	0	0	80	177	-97	40	187	319	506	1	1	0	71	71	41	2135	0	685	709	729	2656	769	750	1372	401	39	9.73%	323	87	73.07%	1	884	2198	40.22%	856	2298	37.25%	457	1153	39.64%	1408	970	2331	569	840	357
13	76	1	70	0	2	3	0	0	127	409	-282	38	0	35	0	0	3	0	0	67	214	-147	38	1	35	0	2	0	0	0	60	195	-135	9	127	245	372	1	0	0	47	44	34	1736	0	575	575	582	3195	938	603	1263	345	26	7.54%	239	65	72.80%	2	565	1812	31.18%	751	2518	29.83%	369	1189	31.03%	1049	678	2684	584	834	315
14	76	32	26	0	8	4	2	4	193	164	29	38	18	13	0	3	2	0	2	92	77	15	38	14	13	0	5	2	2	2	101	87	14	92	193	332	525	1	9	0	64	68	51	2027	0	687	681	633	1899	622	690	1163	344	48	13.95%	266	37	86.09%	2	1114	2318	48.06%	1089	2302	47.31%	528	1047	50.43%	1825	1309	1898	541	897	440
14	76	2	73	0	1	0	0	0	80	462	-382	38	1	37	0	0	0	0	0	42	228	-186	38	1	36	0	1	0	0	0	38	234	-196	6	80	156	236	1	0	0	29	26	24	1497	0	490	522	481	3588	1015	699	1223	226	11	4.87%	290	77	73.45%	1	392	1643	23.86%	590	2746	21.49%	275	1169	23.52%	923	583	2850	558	789	281
15	82	25	40	0	6	4	4	3	204	246	-42	41	15	15	0	5	2	2	2	117	109	8	41	10	25	0	1	2	2	1	87	137	-50	77	204	345	549	0	6	0	71	64	59	2201	0	716	725	731	2691	797	910	1487	386	69	17.88%	383	52	86.42%	3	1164	2410	48.30%	1226	2795	43.86%	551	1153	47.79%	1825	1292	2230	579	927	433
15	82	37	30	0	5	3	5	2	236	188	48	41	21	13	0	2	0	4	1	129	91	38	41	16	17	0	3	3	1	1	107	97	10	99	236	420	656	1	13	0	102	60	64	2104	0	691	695	688	2132	603	1050	1511	418	68	16.27%	448	57	87.28%	6	1316	2442	53.89%	1247	2535	49.19%	590	1162	50.77%	2071	1472	1926	567	968	493
16	82	46	23	0	2	2	4	5	230	137	93	41	19	16	0	1	1	0	4	87	69	18	41	27	7	0	1	1	4	1	143	68	75	111	230	407	637	0	18	0	95	74	55	2083	0	693	673	691	1646	513	1425	1704	412	74	17.96%	610	65	89.34%	6	1646	2570	64.05%	1465	2425	60.41%	658	1067	61.67%	2328	1680	1670	563	975	519
16	82	46	22	0	3	2	5	4	269	142	127	41	25	12	0	1	0	0	3	132	64	68	41	21	10	0	2	2	5	1	137	78	59	114	269	462	731	1	16	0	111	81	69	2477	0	855	792	797	1854	502	952	1379	427	81	18.97%	391	47	87.98%	6	1609	2568	62.66%	1344	2271	59.18%	700	1115	62.78%	2330	1748	1716	535	929	490
17	72	10	57	0	1	1	1	2	144	362	-218	36	6	29	0	0	0	0	1	75	180	-105	36	4	28	0	1	1	1	1	69	182	-113	27	144	274	418	1	0	0	78	32	32	1926	0	680	618	610	3461	975	664	1245	248	17	6.85%	273	61	77.66%	2	612	1806	33.89%	752	2560	29.38%	340	1087	31.28%	1128	775	2462	513	747	296
17	72	54	13	0	1	2	2	0	298	114	184	36	27	6	0	1	0	2	0	157	55	102	36	27	7	0	0	2	0	0	141	59	82	116	298	546	844	0	15	0	125	101	69	2545	0	855	837	844	1374	418	753	1244	385	95	24.68%	315	29	90.79%	3	1661	2521	65.89%	1077	1769	60.88%	674	1035	65.12%	2190	1660	1333	438	815	449
18	72	4	67	0	0	1	0	0	125	454	-329	36	3	32	0	0	1	0	0	64	232	-168	36	1	35	0	0	0	0	0	61	222	-161	9	125	246	371	0	0	0	47	39	39	1637	0	501	568	568	3507	984	629	1183	304	29	9.54%	257	73	71.60%	1	505	1681	30.04%	638	2555	24.97%	292	1158	25.22%	981	635	2587	529	751	280
19	19	9	9	0	1	0	0	0	67	43	24	10	5	4	0	1	0	0	0	47	25	22	9	4	5	0	0	0	0	0	20	18	2	20	67	124	191	0	2	28	20	18	1	622	191	196	233	2	527	138	256	372	92	12	13.04%	113	14	87.61%	0	304	605	50.25%	297	633	46.92%	147	283	51.94%	478	346	445	129	217	108
Total Regular Season	949	307	531	0	38	26	23	24	2389	3332	-943	475	159	262	0	19	12	8	15	1219	1647	-428	474	148	269	0	19	14	15	9	1170	1685	-515	786	2389	4297	6686	9	87	28	949	765	587	25302	191	8362	8434	8107	31426	9098	10319	16821	4439	634	14.28%	4295	721	83.21%	36	12757	26891	47.44%	12472	30131	41.39%	6074	13821	43.95%	20211	14306	26485	6709	10619	4891
Playoff
15	4	0	4	0	0	0	0	0	6	19	-13	2	0	2	0	0	0	0	0	2	10	-8	2	0	2	0	0	0	0	0	4	9	-5	0	6	12	18	0	0	0	3	0	3	68	0	29	20	19	120	31	63	95	22	1	4.55%	26	7	73.08%	0	39	99	39.39%	34	125	27.20%	18	64	28.13%	86	58	105	29	47	22
16	6	2	4	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	5	5	0	3	1	2	0	0	0	0	0	2	4	-2	4	7	14	21	1	1	0	2	1	4	87	0	26	27	34	131	47	120	128	24	2	8.33%	55	3	94.55%	0	81	153	52.94%	94	191	49.21%	38	78	48.72%	134	88	149	46	76	35
16	19	11	8	0	0	0	0	0	37	37	0	10	5	5	0	0	0	0	0	18	19	-1	9	6	3	0	0	0	0	0	19	18	1	22	37	68	105	0	4	0	19	7	8	484	0	134	133	159	402	114	249	348	142	11	7.75%	103	14	86.41%	0	328	668	49.10%	261	574	45.47%	143	266	53.76%	521	358	485	157	264	138
17	12	7	5	0	0	0	0	0	49	28	21	7	5	2	0	0	0	0	0	30	12	18	5	2	3	0	0	0	0	0	19	16	3	14	49	84	133	0	1	0	11	13	23	493	0	131	147	176	258	78	132	204	100	20	20.00%	59	14	76.27%	0	312	521	59.88%	198	337	58.75%	125	199	62.81%	365	271	270	87	144	77
Total Playoff	41	20	21	0	0	0	0	0	99	93	6	22	11	11	0	0	0	0	0	55	46	9	19	9	10	0	0	0	0	0	44	47	-3	40	99	178	277	1	6	0	35	21	38	1132	0	320	327	388	911	270	564	775	288	34	11.81%	243	38	84.36%	0	760	1441	52.74%	587	1227	47.84%	324	607	53.38%	1108	777	1011	320	532	273