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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
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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Matt Puempel		X	X		100.00	77	75	83	64	75	73	75	67	50	63	65	69	62	55	55	68	50	64	0	28	1	700,000$
2	Andrew Agozzino	X	X			100.00	76	43	93	67	66	48	80	67	61	59	57	60	75	58	58	62	50	61	0	30	3	700,000$
3	Ryan Poehling (R)	X	X			100.00	79	44	94	77	69	56	67	57	33	54	56	68	25	46	46	62	50	60	0	22	3	925,000$
4	Andy Andreoff	X	X			100.00	79	44	95	70	74	52	81	54	46	57	55	61	25	63	64	61	50	60	0	30	1	850,000$
5	Brandon Davidson				X	100.00	85	45	99	77	76	59	58	54	25	39	47	66	25	63	63	58	50	63	0	29	2	800,000$
Scratches
1	Thomas Hickey				X	HO	72	68	80	55	68	51	52	50	25	40	39	66	37	68	70	51	50	57	0	32	2	3,875,000$

	TEAM AVERAGE					100.00	78	53	91	68	71	57	69	58	40	52	53	65	42	59	59	60	50	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	Craig Anderson	100.00	68	74	74	73	73	63	56	69	69	68	78	76	78	68	50	68	0
2	Cayden Primeau (R)	100.00	60	65	81	73	58	65	59	65	63	62	30	44	44	62	50	61	0
Scratches

	TEAM AVERAGE	100.00	64	70	78	73	66	64	58	67	66	65	54	60	61	65	50	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kirk Muller	72	62	60	59	50	51	59	CAN	50	2	700,000$

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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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Matt Puempel	Stars (DAL)	LW/RW	82	82	63	145	58	101	15	179	195	442	145	327	18.55%	67	1618	19.73	19	19	38	76	212	0	1	1	5	175	4	2	57.87%	375	0	12	1.79	0	4	2	0	1	14	11	6
2	Ryan Poehling	Stars (DAL)	C/LW	82	73	53	126	64	36	10	129	199	398	109	309	18.34%	72	1392	16.98	4	6	10	46	163	1	1	2	5	128	7	3	54.09%	281	0	8	1.81	0	0	0	2	0	13	5	9
3	Andy Andreoff	Stars (DAL)	C/LW	82	46	71	117	61	24	0	95	222	354	108	275	12.99%	57	1375	16.77	4	4	8	50	186	1	0	1	4	124	4	0	62.61%	1118	0	2	1.70	1	3	0	0	0	3	11	8
4	Andrew Agozzino	Stars (DAL)	C/LW	82	45	71	116	51	32	0	110	211	376	127	282	11.97%	32	1482	18.08	7	18	25	57	187	2	0	2	2	147	9	1	66.08%	1415	1	3	1.56	2	4	0	0	0	3	10	6
5	Nate Prosser	Stars	D	54	7	26	33	27	76	20	123	30	63	12	29	11.11%	47	959	17.77	5	3	8	20	82	0	1	1	0	67	1	0	0.00%	2	0	0	0.69	0	0	1	1	2	0	0	2
6	Thomas Hickey	Stars (DAL)	D	57	8	18	26	12	57	5	92	32	51	14	39	15.69%	47	1001	17.56	4	3	7	15	84	0	0	0	0	70	0	0	0.00%	0	0	0	0.52	0	0	0	1	0	0	0	3
7	Brandon Davidson	Stars (DAL)	D	7	2	12	14	13	8	0	15	9	11	6	10	18.18%	6	133	19.01	0	5	5	4	15	0	0	0	0	13	1	0	0.00%	0	0	0	2.10	0	0	0	0	0	1	0	1
8	Anthony Bitetto	Stars	D	3	2	4	6	3	4	0	9	2	8	3	7	25.00%	1	63	21.18	2	1	3	3	7	0	0	0	0	7	0	1	0.00%	0	0	0	1.89	0	0	0	0	0	0	1	0
9	Mark Letestu	Stars	C	1	0	0	0	-2	0	0	0	4	1	2	2	0.00%	1	18	18.88	0	0	0	0	0	0	0	0	0	1	0	0	40.00%	20	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				450	265	318	583	287	338	50	752	904	1704	526	1280	15.55%	330	8044	17.88	45	59	104	271	941	4	3	7	16	737	26	7	62.66%	3211	1	25	1.45	3	11	3	4	3	34	38	35

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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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Cayden Primeau	Stars (DAL)	6	0	0	0	0.934	1.89	159	0	0	5	76	0	0	0	0.000	0	0	37	0	0	0
Team Total or Average			6	0	0	0	0.934	1.89	159	0	0	5	76	0	0	0	0.000	0	0	37	0	0	0

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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	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Andrew Agozzino	Stars (DAL)	C/LW	30	1991-01-02	No	187 Lbs	5 ft10	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	Link / NHL Link
Andy Andreoff	Stars (DAL)	C/LW	30	1991-05-17	No	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	850,000$	0$	0$	No			Link / NHL Link
Brandon Davidson	Stars (DAL)	D	29	1991-08-20	No	208 Lbs	6 ft2	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$		Link / NHL Link
Cayden Primeau	Stars (DAL)	G	21	1999-08-11	Yes	181 Lbs	6 ft3	No	No	No	3	Pro & Farm	966,666$	0$	0$	No	966,666$	966,666$	Link / NHL Link
Craig Anderson	Stars (DAL)	G	40	1981-05-21	No	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	2,300,000$	0$	0$	No			Link / NHL Link
Matt Puempel	Stars (DAL)	LW/RW	28	1993-01-24	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Link / NHL Link
Ryan Poehling	Stars (DAL)	C/LW	22	1999-01-02	Yes	183 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Link / NHL Link
Thomas Hickey	Stars (DAL)	D	32	1989-02-08	No	188 Lbs	6 ft0	No	No	No	2	Pro & Farm	3,875,000$	0$	0$	No	3,875,000$		Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
8	29.00	193 Lbs	6 ft1	2.00	1,389,583$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matt Puempel	Andrew Agozzino		40	1	2	2
2	Ryan Poehling	Andy Andreoff		30	1	2	2
3				20	1	2	2
4	Andrew Agozzino	Matt Puempel	Andy Andreoff	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matt Puempel	Andrew Agozzino		60	1	2	2
2	Ryan Poehling	Andy Andreoff		40	1	2	2

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

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matt Puempel	Andrew Agozzino	60	1	2	2
2	Andy Andreoff	Ryan Poehling	40	1	2	2

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

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Matt Puempel	60	1	2	2			60	1	2	2
2	Andrew Agozzino	40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matt Puempel	Andrew Agozzino	60	1	2	2
2	Andy Andreoff	Ryan Poehling	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Matt Puempel	Andrew Agozzino

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Matt Puempel	Andrew Agozzino

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ryan Poehling, Andy Andreoff, Matt Puempel	Ryan Poehling, Andy Andreoff	Matt Puempel

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
Matt Puempel, Andrew Agozzino, Andy Andreoff, Ryan Poehling,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
Matt Puempel, Andrew Agozzino, Andy Andreoff, Ryan Poehling, , , , , , ,

Custom OT Lines Defensemen
, , , ,

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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

	Overall												Home											Visitor
#	VS Team	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	PCT	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
1	Americans	2	1	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	0	4	-4	1	1	0	0	0	0	0	0	3	1	2	2	0.500	3	6	9	0	0	150	96	79	6	48	896	853	833	27	50	14	21	43	16	2	12.50%	8	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
2	Admirals	4	0	4	0	0	0	0	0	8	22	-14	2	0	2	0	0	0	0	0	3	13	-10	2	0	2	0	0	0	0	0	5	9	-4	0	0.000	8	10	18	0	0	150	96	79	6	82	896	853	833	27	131	48	36	59	20	2	10.00%	11	1	90.91%	2	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
3	Barracudas	3	0	3	0	0	0	0	0	9	20	-11	1	0	1	0	0	0	0	0	2	6	-4	2	0	2	0	0	0	0	0	7	14	-7	0	0.000	9	12	21	1	0	150	96	79	6	85	896	853	833	27	107	29	22	53	10	3	30.00%	10	4	60.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
4	Bears	2	2	0	0	0	0	0	0	21	3	18	1	1	0	0	0	0	0	0	10	2	8	1	1	0	0	0	0	0	0	11	1	10	4	1.000	21	32	53	0	0	150	96	79	6	128	896	853	833	27	54	10	8	49	1	1	100.00%	4	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
5	Bruins	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	4	7	11	0	0	150	96	79	6	37	896	853	833	27	50	14	16	39	12	3	25.00%	8	1	87.50%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
6	Checkers	2	0	2	0	0	0	0	0	6	14	-8	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	10	-7	0	0.000	6	11	17	0	0	150	96	79	6	35	896	853	833	27	69	21	14	27	7	2	28.57%	7	1	85.71%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
7	Comets	3	0	2	0	0	1	0	0	5	11	-6	2	0	2	0	0	0	0	0	4	9	-5	1	0	0	0	0	1	0	0	1	2	-1	1	0.167	5	8	13	0	0	150	96	79	6	61	896	853	833	27	91	30	8	34	13	1	7.69%	3	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
8	Condors	3	0	3	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	6	10	16	0	0	150	96	79	6	50	896	853	833	27	82	25	34	41	18	0	0.00%	10	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
9	Crunch	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	4	1	3	4	1.000	9	10	19	0	0	150	96	79	6	51	896	853	833	27	55	17	18	42	3	1	33.33%	8	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
10	Devils	2	1	0	0	1	0	0	0	10	6	4	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	6	3	3	4	1.000	10	15	25	0	0	150	96	79	6	56	896	853	833	27	60	17	35	37	5	2	40.00%	9	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
11	Eagles	4	4	0	0	0	0	0	0	32	9	23	2	2	0	0	0	0	0	0	14	3	11	2	2	0	0	0	0	0	0	18	6	12	8	1.000	32	52	84	0	0	150	96	79	6	251	896	853	833	27	94	30	34	78	9	3	33.33%	6	1	83.33%	1	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
12	Griffins	2	2	0	0	0	0	0	0	14	5	9	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	9	2	7	4	1.000	14	22	36	0	0	150	96	79	6	95	896	853	833	27	51	10	10	43	5	2	40.00%	5	1	80.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
13	Gulls	3	0	1	0	0	1	0	1	7	11	-4	1	0	0	0	0	0	0	1	2	3	-1	2	0	1	0	0	1	0	0	5	8	-3	2	0.333	7	10	17	0	0	150	96	79	6	70	896	853	833	27	114	29	35	65	11	1	9.09%	14	1	92.86%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
14	Heat	3	2	1	0	0	0	0	0	6	3	3	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	2	0	2	4	0.667	6	9	15	0	1	150	96	79	6	63	896	853	833	27	73	28	22	56	20	2	10.00%	10	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
15	IceHogs	4	0	3	0	0	1	0	0	8	16	-8	2	0	1	0	0	1	0	0	2	6	-4	2	0	2	0	0	0	0	0	6	10	-4	1	0.125	8	10	18	0	0	150	96	79	6	73	896	853	833	27	133	43	26	35	13	1	7.69%	13	4	69.23%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
16	Marlies	2	0	2	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	1	2	0	0	150	96	79	6	27	896	853	833	27	64	23	10	38	8	1	12.50%	5	1	80.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
17	Monsters	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	6	9	1	0	150	96	79	6	34	896	853	833	27	63	13	8	33	7	1	14.29%	3	0	100.00%	1	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
18	Moose	5	1	3	0	0	0	1	0	12	18	-6	3	1	2	0	0	0	0	0	6	12	-6	2	0	1	0	0	0	1	0	6	6	0	4	0.400	12	12	24	0	0	150	96	79	6	96	896	853	833	27	133	44	38	74	23	6	26.09%	13	3	76.92%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
19	Penguins	2	0	1	0	1	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	1	0	0	0	2	1	1	2	0.500	3	4	7	0	0	150	96	79	6	69	896	853	833	27	49	19	8	30	8	0	0.00%	3	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
20	Phantoms	2	2	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	0	3	4	1.000	8	12	20	0	1	150	96	79	6	43	896	853	833	27	51	14	17	21	12	6	50.00%	6	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
21	Rampage	5	5	0	0	0	0	0	0	45	8	37	2	2	0	0	0	0	0	0	18	2	16	3	3	0	0	0	0	0	0	27	6	21	10	1.000	45	65	110	0	0	150	96	79	6	266	896	853	833	27	97	29	24	107	5	1	20.00%	11	1	90.91%	1	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
22	Reign	3	1	1	0	0	0	1	0	17	14	3	1	0	1	0	0	0	0	0	5	7	-2	2	1	0	0	0	0	1	0	12	7	5	4	0.667	17	24	41	0	0	150	96	79	6	114	896	853	833	27	110	41	19	55	6	1	16.67%	6	3	50.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
23	Roadrunners	3	3	0	0	0	0	0	0	19	6	13	1	1	0	0	0	0	0	0	7	1	6	2	2	0	0	0	0	0	0	12	5	7	6	1.000	19	26	45	0	0	150	96	79	6	110	896	853	833	27	76	22	16	51	9	3	33.33%	7	1	85.71%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
24	Rocket	2	0	1	0	0	0	1	0	5	7	-2	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	5	5	10	0	0	150	96	79	6	39	896	853	833	27	38	9	18	29	8	1	12.50%	9	2	77.78%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
25	Senators	2	1	1	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	5	1	4	2	0.500	6	9	15	0	0	150	96	79	6	61	896	853	833	27	65	22	22	56	5	0	0.00%	10	1	90.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
26	Sound Tigers	2	2	0	0	0	0	0	0	14	1	13	1	1	0	0	0	0	0	0	6	0	6	1	1	0	0	0	0	0	0	8	1	7	4	1.000	14	18	32	0	1	150	96	79	6	145	896	853	833	27	41	7	6	45	3	2	66.67%	3	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
27	Thunderbirds	2	0	2	0	0	0	0	0	3	14	-11	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	3	4	7	0	0	150	96	79	6	18	896	853	833	27	65	13	25	21	7	0	0.00%	4	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
28	Wild	4	4	0	0	0	0	0	0	27	5	22	2	2	0	0	0	0	0	0	12	2	10	2	2	0	0	0	0	0	0	15	3	12	8	1.000	27	35	62	0	0	150	96	79	6	236	896	853	833	27	74	19	10	60	6	2	33.33%	4	1	75.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
29	Wolf Pack	2	2	0	0	0	0	0	0	13	10	3	1	1	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	5	4	1	4	1.000	13	18	31	0	0	150	96	79	6	93	896	853	833	27	75	20	14	46	2	2	100.00%	7	0	100.00%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
30	Wolves	3	1	2	0	0	0	0	0	6	11	-5	2	1	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	6	8	14	0	0	150	96	79	6	57	896	853	833	27	80	23	18	44	4	0	0.00%	7	1	85.71%	0	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
	Total	82	37	36	0	2	3	3	1	330	271	59	41	17	20	0	1	1	1	1	143	137	6	41	20	16	0	1	2	2	0	187	134	53	88	0.537	330	471	801	2	3	150	96	79	6	2593	896	853	833	27	2295	683	592	1411	276	52	18.84%	224	28	87.50%	5	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
	_Since Last GM Reset	82	37	36	0	2	3	3	1	330	271	59	41	17	20	0	1	1	1	1	143	137	6	41	20	16	0	1	2	2	0	187	134	53	88	0.537	330	471	801	2	3	150	96	79	6	2593	896	853	833	27	2295	683	592	1411	276	52	18.84%	224	28	87.50%	5	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
	_Vs Conference	49	22	22	0	0	2	2	1	205	163	42	24	10	12	0	0	1	0	1	82	78	4	25	12	10	0	0	1	2	0	123	85	38	51	0.520	205	289	494	1	1	150	96	79	6	1601	896	853	833	27	1354	424	355	821	170	27	15.88%	130	21	83.85%	4	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420
	_Vs Division	26	12	13	0	0	1	1	0	132	78	54	13	6	7	0	0	1	0	0	55	38	17	13	6	6	0	0	0	1	0	77	40	37	27	0.519	132	184	316	0	0	150	96	79	6	1004	896	853	833	27	662	213	168	413	76	15	19.74%	58	11	81.03%	4	1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%	2029	1565	2051	503	871	420

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	88	W1	330	471	801	2593	2295	683	592	1411	2	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	37	36	2	3	3	1	330	271

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	20	1	1	1	1	143	137

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	16	1	2	2	0	187	134

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	7	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
276	52	18.84%	224	28	87.50%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
896	853	833	27	150	96	79	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1186	2099	56.50%	1109	2246	49.38%	689	1284	53.66%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2029	1565	2051	503	871	420

Last Played Games Show or Hide Column

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2 - 2020-10-25	8	Bruins	3	Stars	4	W			BoxScore
4 - 2020-10-27	28	Stars	9	Rampage	1	W			BoxScore
5 - 2020-10-28	32	Stars	9	Griffins	2	W			BoxScore
7 - 2020-10-30	43	Stars	11	Bears	1	W			BoxScore
9 - 2020-11-01	50	Heat	1	Stars	3	W			BoxScore
11 - 2020-11-03	65	Bears	2	Stars	10	W			BoxScore
13 - 2020-11-05	79	Stars	3	Americans	1	W			BoxScore
15 - 2020-11-07	93	Stars	2	Monsters	4	L			BoxScore
17 - 2020-11-09	111	Stars	2	Penguins	1	W	X		BoxScore
18 - 2020-11-10	118	Stars	3	Phantoms	0	W			BoxScore
20 - 2020-11-12	129	Senators	3	Stars	1	L			BoxScore
23 - 2020-11-15	148	Gulls	3	Stars	2	L	X	X	BoxScore
25 - 2020-11-17	164	Penguins	4	Stars	1	L			BoxScore
28 - 2020-11-20	182	Wild	1	Stars	7	W			BoxScore
31 - 2020-11-23	198	Stars	8	Eagles	2	W			BoxScore
32 - 2020-11-24	209	Rocket	2	Stars	3	W	X	X	BoxScore
35 - 2020-11-27	227	Eagles	1	Stars	7	W			BoxScore
40 - 2020-12-02	269	Stars	4	Moose	3	W	X	X	BoxScore
43 - 2020-12-05	281	Stars	2	Heat	0	W			BoxScore
44 - 2020-12-06	293	Stars	1	Comets	2	L	X		BoxScore
46 - 2020-12-08	302	Stars	2	Condors	6	L			BoxScore
49 - 2020-12-11	322	Comets	4	Stars	1	L			BoxScore
51 - 2020-12-13	338	Moose	4	Stars	2	L			BoxScore
53 - 2020-12-15	351	IceHogs	3	Stars	2	L	X		BoxScore
55 - 2020-12-17	367	Wolves	5	Stars	0	L			BoxScore
56 - 2020-12-18	374	Stars	2	IceHogs	3	L			BoxScore
59 - 2020-12-21	397	Rampage	1	Stars	10	W			BoxScore
61 - 2020-12-23	417	Stars	8	Wild	1	W			BoxScore
63 - 2020-12-25	433	Stars	2	Moose	3	L			BoxScore
65 - 2020-12-27	442	Moose	2	Stars	3	W			BoxScore
67 - 2020-12-29	455	Sound Tigers	0	Stars	6	W			BoxScore
70 - 2021-01-01	474	Devils	3	Stars	4	W	X		BoxScore
73 - 2021-01-04	500	Wolves	2	Stars	3	W			BoxScore
74 - 2021-01-05	508	Stars	3	Admirals	6	L			BoxScore
76 - 2021-01-07	520	Condors	4	Stars	2	L			BoxScore
79 - 2021-01-10	545	Stars	4	Crunch	1	W			BoxScore
80 - 2021-01-11	549	Stars	2	Thunderbirds	5	L			BoxScore
82 - 2021-01-13	565	Heat	2	Stars	1	L			BoxScore
88 - 2021-01-19	594	Eagles	2	Stars	7	W			BoxScore
89 - 2021-01-20	603	Stars	4	Roadrunners	2	W			BoxScore
92 - 2021-01-23	626	Admirals	6	Stars	1	L			BoxScore
94 - 2021-01-25	640	Griffins	3	Stars	5	W			BoxScore
99 - 2021-01-30	675	Stars	4	Reign	3	W	X	X	BoxScore
100 - 2021-01-31	678	Stars	2	Gulls	4	L			BoxScore
102 - 2021-02-02	699	Stars	3	Barracudas	5	L			BoxScore
105 - 2021-02-05	717	Stars	10	Eagles	4	W			BoxScore
107 - 2021-02-07	730	Americans	4	Stars	0	L			BoxScore
109 - 2021-02-09	747	Stars	7	Wild	2	W			BoxScore
118 - 2021-02-18	768	Crunch	1	Stars	5	W			BoxScore
120 - 2021-02-20	777	Marlies	2	Stars	0	L			BoxScore
123 - 2021-02-23	799	Stars	6	Devils	3	W			BoxScore
125 - 2021-02-25	810	Stars	5	Wolf Pack	4	W			BoxScore
126 - 2021-02-26	819	Stars	8	Sound Tigers	1	W			BoxScore
129 - 2021-03-01	840	Wild	1	Stars	5	W			BoxScore
130 - 2021-03-02	849	Stars	10	Rampage	2	W			BoxScore
133 - 2021-03-05	869	Checkers	4	Stars	3	L			BoxScore
135 - 2021-03-07	889	Stars	1	Marlies	5	L			BoxScore
137 - 2021-03-09	901	Stars	2	Rocket	5	L			BoxScore
138 - 2021-03-10	911	Stars	5	Senators	1	W			BoxScore
141 - 2021-03-13	930	Roadrunners	1	Stars	7	W			BoxScore
143 - 2021-03-15	945	Rampage	1	Stars	8	W			BoxScore
145 - 2021-03-17	961	IceHogs	3	Stars	0	L			BoxScore
147 - 2021-03-19	971	Stars	3	Checkers	10	L			BoxScore
149 - 2021-03-21	984	Stars	0	Bruins	4	L			BoxScore
151 - 2021-03-23	1008	Stars	8	Rampage	3	W			BoxScore
154 - 2021-03-26	1020	Condors	5	Stars	2	L			BoxScore
156 - 2021-03-28	1037	Stars	2	Admirals	3	L			BoxScore
158 - 2021-03-30	1050	Admirals	7	Stars	2	L			BoxScore
161 - 2021-04-02	1071	Wolf Pack	6	Stars	8	W			BoxScore
163 - 2021-04-04	1086	Thunderbirds	9	Stars	1	L			BoxScore
165 - 2021-04-06	1103	Barracudas	6	Stars	2	L			BoxScore
167 - 2021-04-08	1118	Stars	8	Roadrunners	3	W			BoxScore
168 - 2021-04-09	1130	Stars	3	Wolves	4	L			BoxScore
171 - 2021-04-12	1148	Phantoms	2	Stars	5	W			BoxScore
173 - 2021-04-14	1166	Moose	6	Stars	1	L			BoxScore
175 - 2021-04-16	1177	Reign	7	Stars	5	L			BoxScore
178 - 2021-04-19	1199	Stars	4	IceHogs	7	L			BoxScore
179 - 2021-04-20	1208	Monsters	6	Stars	1	L			BoxScore
181 - 2021-04-22	1226	Comets	5	Stars	3	L			BoxScore
183 - 2021-04-24	1239	Stars	3	Gulls	4	L	X		BoxScore
184 - 2021-04-25	1251	Stars	4	Barracudas	9	L			BoxScore
186 - 2021-04-27	1264	Stars	8	Reign	4	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	0
Attendance	80,973	38,538
Attendance PCT	98.75%	94.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2915 - 97.16%	69,123$	2,834,055$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,942,884$	1,111,667$	1,103,083$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
5,977$	1,242,887$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	9,740$	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

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	GP: 82 \| W: 42 \| L: 36 \| OTL: 4 \| P: 88 GF: 330 \| GA: 271 \| PP%: 18.84% \| PK%: 87.50% GM : Charles \| Morale : 50 \| Team Overall : 62