LHSDB - Ligue de hockey simulee des debiles barbus

Dallas Stars
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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`)
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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
1	Mark Kastelic	X				100.00	81	36	65	58	85	79	86	53	75	60	59	61	56	63	64	58	50	62	0
2	Zack MacEwen	X				100.00	86	82	65	54	84	74	87	57	70	55	56	55	59	66	67	42	50	60	0
3	Devante Smith-Pelly			X		100.00	70	38	92	54	79	61	76	55	51	56	57	58	53	70	72	59	50	59	0
4	Emilio Pettersen		X			100.00	57	37	91	58	66	76	86	57	61	58	59	54	58	62	64	52	50	59	0
5	Ryan Suzuki	X				100.00	61	37	85	56	70	69	68	57	63	58	59	54	57	61	63	80	50	58	0
6	Markus Niemelainen				X	100.00	85	45	88	62	90	79	77	59	30	60	57	66	50	64	66	68	50	66	0
7	Ville Heinola				X	100.00	59	36	85	72	69	85	77	69	30	73	58	60	52	61	63	82	50	65	0
8	Dylan McIlrath				X	100.00	87	82	64	56	96	68	91	55	30	54	53	60	45	70	72	69	50	64	0
9	Cam Dineen				X	100.00	59	36	91	65	70	84	79	63	30	66	58	63	50	64	66	65	50	64	0
10	Lucas Carlsson				X	100.00	62	39	87	65	72	80	78	63	30	68	62	64	53	65	67	58	50	64	0
11	Kevin Gravel				X	100.00	78	39	82	54	87	70	88	55	30	56	53	59	46	70	72	50	50	63	0
12	Santeri Hatakka				X	100.00	60	38	83	64	76	77	74	60	30	65	58	64	50	61	63	49	50	63	0
13	Joe Hicketts				X	100.00	55	37	82	59	64	77	88	58	30	62	56	54	48	66	68	46	50	60	0
14	Filip Kral (R)				X	100.00	65	38	78	57	74	66	86	54	30	60	53	57	46	63	65	54	50	60	0
15	Artyom Serikov				X	100.00	67	39	86	56	77	64	71	55	30	54	53	57	45	62	64	51	50	59	0
16	Marc Del Gaizo (R)				X	100.00	59	37	81	60	69	72	83	57	30	56	54	53	45	63	65	66	50	59	0
17	Chad Krys				X	100.00	58	39	77	57	69	66	72	56	30	57	52	53	45	64	66	71	50	57	0
18	Niclas Almari				X	100.00	64	37	86	53	73	64	60	52	30	53	54	52	45	64	66	54	50	56	0
Scratches
1	Scott Reedy	X				100.00	68	38	90	67	81	78	84	63	70	62	67	64	65	63	64	61	50	65	0
2	Paul Cotter	X				100.00	76	39	73	60	79	84	87	60	65	58	62	57	61	64	65	59	50	62	0
3	Aaron Luchuk	X				100.00	59	37	92	57	68	77	60	54	60	55	56	53	58	65	67	42	50	57	0
4	Nick Lappin			X		100.00	63	38	91	55	72	71	65	53	54	52	56	53	56	70	72	35	50	57	0

	TEAM AVERAGE					100.00	67	42	82	59	76	74	78	58	44	59	57	58	52	65	66	58	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	Spencer Martin	100.00	76	78	77	82	75	74	76	75	74	76	75	67	77	57	50	74	0
2	Michael Houser	100.00	75	71	72	76	74	73	75	74	73	75	74	70	84	50	50	72	0
Scratches
1	Felix Sandstrom	100.00	74	77	76	79	73	72	74	73	72	74	73	65	73	64	50	72	0
2	Josef Korenar	100.00	72	81	78	74	71	70	72	71	70	72	71	64	71	57	50	70	0
3	Keith Petruzzelli (R)	100.00	67	66	67	86	66	65	67	66	65	67	66	63	69	63	50	67	0

	TEAM AVERAGE	100.00	73	75	74	79	72	71	73	72	71	73	72	66	75	58	50	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd Reirden	68	74	75	72	76	70	75	USA	51	6	1,000,000$

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Noah Gregor	Dallas Stars	C	72	41	31	72	6	81	5	128	229	363	94	243	11.29%	24	1762	24.48	12	12	24	83	300	1	2	3	8	317	6	4	56.47%	1638	0	0.82	1	4	0	0	0	7	5	5
2	Ville Heinola	Stars (Dal)	D	72	15	57	72	32	8	0	30	74	133	40	82	11.28%	62	1396	19.39	12	20	32	102	240	0	2	2	0	245	1	1	0.00%	0	0	1.03	0	0	0	0	0	6	7	4
3	Scott Reedy	Stars (Dal)	C	71	35	32	67	20	30	0	53	158	299	76	202	11.71%	23	1400	19.73	9	17	26	50	188	1	1	2	10	252	6	1	62.50%	856	1	0.96	0	3	0	0	0	10	5	5
4	Markus Niemelainen	Stars (Dal)	D	72	12	33	45	10	130	20	133	67	105	40	71	11.43%	84	1397	19.41	7	8	15	60	223	1	1	2	2	217	3	2	0.00%	0	0	0.64	0	0	2	2	0	2	4	3
5	Dylan McIlrath	Stars (Dal)	D	72	10	33	43	24	163	15	265	58	115	41	75	8.70%	103	1411	19.61	7	11	18	78	263	0	2	2	0	204	1	0	0.00%	0	0	0.61	0	0	0	1	2	3	5	1
6	Mark Kastelic	Stars (Dal)	C	69	12	17	29	6	54	0	150	35	123	25	81	9.76%	4	1051	15.24	3	9	12	28	236	0	0	0	1	16	3	0	64.22%	109	0	0.55	1	1	0	0	0	0	2	2
7	Santeri Hatakka	Stars (Dal)	D	52	11	17	28	21	26	0	39	65	120	37	69	9.17%	18	815	15.69	0	0	0	0	0	0	0	0	0	0	2	2	39.39%	33	0	0.69	0	0	0	0	0	2	2	0
8	Paul Cotter	Stars (Dal)	C	48	9	18	27	13	26	0	71	50	97	27	64	9.28%	10	1066	22.23	2	7	9	24	216	3	0	3	6	139	2	1	61.85%	173	0	0.51	0	0	0	0	0	1	2	1
9	Zack MacEwen	Stars (Dal)	C	52	12	14	26	18	150	30	163	23	65	10	62	18.46%	4	859	16.53	6	8	14	22	191	0	0	0	0	2	4	0	58.67%	75	1	0.60	0	0	3	1	2	2	1	3
10	Ryan Suzuki	Stars (Dal)	C	72	11	14	25	12	10	0	13	35	90	22	65	12.22%	6	1019	14.16	4	9	13	18	191	0	0	0	3	97	1	0	60.36%	222	0	0.49	0	1	0	0	0	3	0	2
11	Kevin Gravel	Stars (Dal)	D	72	10	10	20	16	118	20	128	33	65	16	55	15.38%	27	920	12.79	0	0	0	0	0	0	0	0	0	0	1	0	25.00%	28	0	0.43	0	0	0	0	4	0	2	6
12	Lucas Carlsson	Stars (Dal)	D	72	2	18	20	-1	37	5	75	40	26	14	22	7.69%	32	778	10.81	0	0	0	0	0	0	0	0	0	12	1	0	0.00%	0	0	0.51	0	0	1	0	0	0	0	1
13	Joe Hicketts	Stars (Dal)	D	72	3	14	17	-3	21	5	26	14	42	11	32	7.14%	19	472	6.56	2	9	11	27	78	0	0	0	0	53	0	0	50.00%	2	0	0.72	0	0	0	1	0	0	1	0
14	Cam Dineen	Stars (Dal)	D	72	5	9	14	3	22	0	39	22	32	5	26	15.63%	15	579	8.05	2	0	2	7	18	0	0	0	0	0	1	1	0.00%	0	0	0.48	0	0	0	0	0	0	1	2
15	Devante Smith-Pelly	Stars (Dal)	RW	12	8	4	12	1	23	5	38	20	60	10	28	13.33%	6	202	16.90	2	3	5	12	33	0	0	0	0	0	2	0	36.36%	11	1	1.18	0	0	0	0	1	2	0	1
16	Artyom Serikov	Stars (Dal)	D	52	3	2	5	2	0	0	10	11	27	4	13	11.11%	2	199	3.83	3	1	4	7	23	0	0	0	2	59	0	0	57.14%	7	0	0.50	0	0	0	0	0	0	0	0
17	Filip Kral	Stars (Dal)	D	52	2	0	2	0	6	0	4	4	2	0	2	100.00%	14	116	2.24	2	0	2	2	5	0	0	0	0	101	1	0	0.00%	0	0	0.34	0	0	0	0	0	0	0	0
18	Chad Krys	Stars (Dal)	D	20	0	0	0	0	2	0	2	1	0	0	0	0.00%	6	33	1.67	0	0	0	0	0	0	0	0	0	33	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1076	201	323	524	180	907	105	1367	939	1764	472	1192	11.39%	459	15485	14.39	73	114	187	520	2212	6	8	14	32	1756	35	12	58.47%	3154	3	0.68	2	9	6	5	9	38	37	36

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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	A	PS %	PSA	ST	BG	S1	S2	S3
1	Spencer Martin	Stars (Dal)	62	40	17	4	0.925	1.81	3655	2	13	110	1464	3	0.889	9	62	0	5	5	5
2	Michael Houser	Stars (Dal)	2	0	0	0	0.882	2.31	52	0	0	2	17	0	0.000	0	0	29	0	0	0
Team Total or Average			64	40	17	4	0.924	1.81	3708	2	13	112	1481	3	0.889	9	62	29	5	5	5

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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 Luchuk	C	25	1997-04-04	No	180 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Artyom Serikov	D	22	2000-12-28	No	192 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Cam Dineen	D	24	1998-06-19	No	188 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Chad Krys	D	24	1998-04-10	No	185 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Devante Smith-Pelly	RW	30	1992-06-14	No	223 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link
Dylan McIlrath	D	30	1992-04-20	No	231 Lbs	6 ft5	No	No	No	1	UFA	Pro & Farm	963,777$	0$	0$	No	Link / NHL Link
Emilio Pettersen	LW	22	2000-04-03	No	170 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Felix Sandstrom	G	26	1997-01-12	No	191 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Filip Kral	D	23	1999-10-20	Yes	185 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
Joe Hicketts	D	26	1996-05-04	No	180 Lbs	5 ft8	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Josef Korenar	G	25	1998-01-31	No	185 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Keith Petruzzelli	G	24	1999-02-09	Yes	185 Lbs	6 ft5	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
Kevin Gravel	D	30	1992-03-06	No	205 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Lucas Carlsson	D	25	1997-07-05	No	189 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Marc Del Gaizo	D	23	1999-10-11	Yes	188 Lbs	5 ft10	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
Mark Kastelic	C	23	1999-03-11	No	210 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Markus Niemelainen	D	24	1998-06-08	No	190 Lbs	6 ft6	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Michael Houser	G	30	1992-09-13	No	185 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link
Nick Lappin	RW	30	1992-11-01	No	175 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Niclas Almari	D	24	1998-05-11	No	180 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Paul Cotter	C	23	1999-11-16	No	206 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ryan Suzuki	C	21	2001-05-28	No	176 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Santeri Hatakka	D	22	2001-01-15	No	191 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Scott Reedy	C	23	1999-04-04	No	205 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Spencer Martin	G	27	1995-06-08	No	191 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ville Heinola	D	22	2001-03-02	No	178 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Zack MacEwen	C	26	1996-07-08	No	205 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	24.96	191 Lbs	6 ft1	2.04	406,066$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Mark Kastelic	40	1	2	2
2	Zack MacEwen		Ryan Suzuki	30	1	2	2
3	Santeri Hatakka		Kevin Gravel	20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Markus Niemelainen	40	1	2	2
2	Dylan McIlrath	Ville Heinola	30	1	2	2
3	Lucas Carlsson	Cam Dineen	20	1	2	2
4	Santeri Hatakka	Kevin Gravel	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Mark Kastelic	60	1	2	2
2	Zack MacEwen		Ryan Suzuki	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Markus Niemelainen	60	1	2	2
2	Dylan McIlrath	Ville Heinola	40	1	2	2

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

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Markus Niemelainen	60	1	2	2
2	Dylan McIlrath	Ville Heinola	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		Markus Niemelainen	60	1	2	2
2		40	1	2	2	Dylan McIlrath	Ville Heinola	40	1	2	2

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Markus Niemelainen	60	1	2	2
2	Dylan McIlrath	Ville Heinola	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Mark Kastelic		Markus Niemelainen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Mark Kastelic		Markus Niemelainen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mark Kastelic, Zack MacEwen, Ryan Suzuki	Mark Kastelic, Zack MacEwen	Ryan Suzuki

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Joe Hicketts, Filip Kral, Artyom Serikov	Joe Hicketts	Filip Kral, Artyom Serikov

Penalty Shots
, , , , Mark Kastelic

Goalie
#1 : Spencer Martin, #2 :

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

Custom OT Lines Defensemen
, , , ,

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2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
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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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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
72	91	L1	215	375	590	1967	1815	530	965	1458	0	13

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
72	39	24	2	3	2	2	215	154

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	20	13	1	1	0	1	105	74

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	19	11	1	2	2	1	110	80

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
367	76	20.71%	382	49	87.17%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
637	656	653	34	82	78	51	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1146	2132	53.75%	1027	2190	46.89%	488	989	49.34%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1950	1422	1576	477	829	438

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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`)
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5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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	SO	Link
1 - 2022-09-28	1	Marlies	1	Stars	5	W			BoxScore
2 - 2022-09-29	13	Stars	5	Reign	3	W			BoxScore
4 - 2022-10-01	30	Stars	4	Senators	3	W	X	X	BoxScore
7 - 2022-10-04	45	Stars	6	Reign	2	W			BoxScore
8 - 2022-10-05	58	Monsters	6	Stars	4	L			BoxScore
12 - 2022-10-09	83	Rampage	1	Stars	2	W	X		BoxScore
16 - 2022-10-13	107	Penguins	4	Stars	1	L			BoxScore
18 - 2022-10-15	125	Stars	0	Rocket	5	L			BoxScore
20 - 2022-10-17	142	Marlies	2	Stars	6	W			BoxScore
21 - 2022-10-18	148	Stars	3	Checkers	1	W			BoxScore
23 - 2022-10-20	168	Stars	0	Wolf Pack	4	L			BoxScore
26 - 2022-10-23	186	Wild	3	Stars	1	L			BoxScore
28 - 2022-10-25	203	IceHogs	2	Stars	5	W			BoxScore
30 - 2022-10-27	220	Stars	1	Devils	5	L			BoxScore
32 - 2022-10-29	231	Admirals	2	Stars	3	W			BoxScore
36 - 2022-11-02	262	Stars	1	Wranglers	3	L			BoxScore
38 - 2022-11-04	272	Monsters	4	Stars	5	W			BoxScore
40 - 2022-11-06	292	Devils	2	Stars	1	L	X	X	BoxScore
43 - 2022-11-09	313	Stars	1	Checkers	7	L			BoxScore
45 - 2022-11-11	327	Griffins	7	Stars	1	L			BoxScore
47 - 2022-11-13	345	Stars	0	Barracuda	2	L			BoxScore
49 - 2022-11-15	353	Stars	5	Thunderbirds	1	W			BoxScore
50 - 2022-11-16	366	Comets	2	Stars	4	W			BoxScore
54 - 2022-11-20	391	Penguins	2	Stars	1	L			BoxScore
56 - 2022-11-22	409	Stars	6	Roadrunners	0	W			BoxScore
58 - 2022-11-24	419	Gulls	1	Stars	5	W			BoxScore
61 - 2022-11-27	445	Stars	4	Penguins	1	W			BoxScore
63 - 2022-11-29	454	Eagles	4	Stars	3	L	X		BoxScore
65 - 2022-12-01	473	Stars	3	Rampage	1	W			BoxScore
67 - 2022-12-03	484	Roadrunners	0	Stars	4	W			BoxScore
69 - 2022-12-05	502	Stars	2	Senators	0	W			BoxScore
71 - 2022-12-07	512	Stars	2	Sound Tigers	3	L			BoxScore
72 - 2022-12-08	526	Wolves	2	Stars	0	L			BoxScore
75 - 2022-12-11	546	Stars	3	Wolves	2	W			BoxScore
77 - 2022-12-13	558	Americans	0	Stars	1	W			BoxScore
79 - 2022-12-15	575	Stars	3	Eagles	1	W			BoxScore
80 - 2022-12-16	582	Stars	5	Gulls	0	W			BoxScore
83 - 2022-12-19	601	Barracuda	4	Stars	1	L			BoxScore
85 - 2022-12-21	618	Stars	3	Bears	6	L			BoxScore
86 - 2022-12-22	630	Sound Tigers	2	Stars	0	L			BoxScore
89 - 2022-12-25	651	Rampage	3	Stars	1	L			BoxScore
91 - 2022-12-27	665	Stars	3	Americans	2	W	X	X	BoxScore
93 - 2022-12-29	679	Stars	1	Moose	2	L	X	X	BoxScore
95 - 2022-12-31	694	Rocket	0	Stars	2	W			BoxScore
96 - 2023-01-01	708	Stars	2	Bruins	3	L	X		BoxScore
99 - 2023-01-04	727	Condors	1	Stars	3	W			BoxScore
101 - 2023-01-06	740	Stars	3	Comets	0	W			BoxScore
103 - 2023-01-08	759	Reign	1	Stars	6	W			BoxScore
106 - 2023-01-11	777	Marlies	0	Stars	3	W			BoxScore
110 - 2023-01-15	806	Phantoms	2	Stars	1	L			BoxScore
114 - 2023-01-19	833	Stars	6	Firebirds	1	W			BoxScore
115 - 2023-01-20	839	Crunch	1	Stars	5	W			BoxScore
118 - 2023-01-23	862	Stars	1	Rocket	4	L			BoxScore
119 - 2023-01-24	872	Checkers	4	Stars	2	L			BoxScore
122 - 2023-01-27	896	Stars	5	IceHogs	2	W			BoxScore
123 - 2023-01-28	905	Wolf Pack	1	Stars	3	W			BoxScore
127 - 2023-02-01	933	Thunderbirds	1	Stars	6	W			BoxScore
129 - 2023-02-03	942	Stars	3	Wild	4	L	X		BoxScore
131 - 2023-02-05	963	Moose	3	Stars	5	W			BoxScore
132 - 2023-02-06	970	Stars	4	Griffins	3	W	X		BoxScore
136 - 2023-02-10	996	Bruins	2	Stars	0	L			BoxScore
137 - 2023-02-11	1008	Stars	8	Marlies	0	W			BoxScore
140 - 2023-02-14	1029	Wranglers	3	Stars	1	L			BoxScore
142 - 2023-02-16	1041	Stars	6	Crunch	2	W			BoxScore
143 - 2023-02-17	1051	Stars	3	Monsters	0	W			BoxScore
146 - 2023-02-20	1065	Senators	0	Stars	4	W			BoxScore
147 - 2023-02-21	1074	Stars	3	Admirals	1	W			BoxScore
150 - 2023-02-24	1093	Bears	1	Stars	3	W			BoxScore
151 - 2023-02-25	1106	Stars	2	Phantoms	3	L			BoxScore
154 - 2023-02-28	1123	Stars	2	Reign	0	W			BoxScore
156 - 2023-03-02	1129	Firebirds	0	Stars	7	W			BoxScore
157 - 2023-03-03	1132	Stars	1	Condors	3	L			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	67,281	34,061
Attendance PCT	93.45%	94.61%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2815 - 93.84%	70,052$	2,521,862$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,119,437$	109,638$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	119,405$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	6,892$	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
Regular Season
12	82	53	13	0	5	3	6	2	277	141	136	41	24	10	0	0	3	4	0	118	76	42	41	29	3	0	5	0	2	2	159	65	94	133	277	499	776	1	10	0	99	107	60	2359	0	734	784	823	1599	481	1325	1728	512	87	16.99%	542	63	88.38%	8	1711	2642	64.76%	1424	2269	62.76%	737	1156	63.75%	2408	1744	1586	560	981	541
13	76	30	34	0	2	4	4	2	210	206	4	38	15	14	0	0	3	4	2	104	98	6	38	15	20	0	2	1	0	0	106	108	-2	78	210	357	567	1	5	0	81	66	57	1913	0	625	639	626	2182	621	998	1567	416	67	16.11%	417	72	82.73%	3	1082	2136	50.66%	1155	2532	45.62%	534	1112	48.02%	1719	1199	1999	555	887	424
14	76	53	10	0	2	3	6	2	263	102	161	38	27	3	0	1	2	3	2	126	48	78	38	26	7	0	1	1	3	0	137	54	83	127	263	466	729	1	17	0	106	82	67	2342	0	741	794	793	1514	415	763	1364	370	57	15.41%	317	30	90.54%	6	1456	2445	59.55%	1158	2038	56.82%	628	1057	59.41%	2169	1601	1536	508	905	484
15	82	46	20	0	3	5	4	4	248	151	97	41	23	8	0	3	2	3	2	131	78	53	41	23	12	0	0	3	1	2	117	73	44	115	248	454	702	0	13	0	89	83	69	2252	0	717	757	758	1777	531	1091	1531	430	68	15.81%	443	45	89.84%	5	1490	2561	58.18%	1330	2327	57.16%	675	1172	57.59%	2265	1627	1721	560	987	525
16	82	39	26	0	8	4	1	4	255	179	76	41	19	12	0	5	2	0	3	134	86	48	41	20	14	0	3	2	1	1	121	93	28	104	255	475	730	0	7	0	96	82	68	2056	0	627	724	677	1761	553	1230	1621	429	81	18.88%	515	65	87.38%	6	1449	2456	59.00%	1380	2345	58.85%	683	1165	58.63%	2208	1578	1772	569	986	518
17	72	39	24	0	2	3	2	2	215	154	61	36	20	13	0	1	1	0	1	105	74	31	36	19	11	0	1	2	2	1	110	80	30	91	215	375	590	0	13	82	78	51	5	1967	637	656	653	34	1815	530	965	1458	367	76	20.71%	382	49	87.17%	6	1146	2132	53.75%	1027	2190	46.89%	488	989	49.34%	1950	1422	1576	477	829	438
Total Regular Season	470	260	127	0	22	22	23	16	1468	933	535	235	128	60	0	10	13	14	10	718	460	258	235	132	67	0	12	9	9	6	750	473	277	648	1468	2626	4094	3	65	82	549	471	326	12889	637	4100	4351	3711	10648	3131	6372	9269	2524	436	17.27%	2616	324	87.61%	34	8334	14372	57.99%	7474	13701	54.55%	3745	6651	56.31%	12720	9174	10192	3232	5576	2932
Playoff
11	5	1	4	0	0	0	0	0	5	10	-5	3	1	2	0	0	0	0	0	3	6	-3	2	0	2	0	0	0	0	0	2	4	-2	2	5	8	13	0	0	0	2	2	1	89	0	37	30	22	132	39	124	104	37	3	8.11%	54	7	87.04%	0	78	150	52.00%	105	188	55.85%	31	69	44.93%	113	73	125	41	60	29
12	20	12	8	0	0	0	0	0	53	46	7	11	6	5	0	0	0	0	0	29	27	2	9	6	3	0	0	0	0	0	24	19	5	24	53	99	152	0	0	0	14	20	15	513	0	132	177	154	466	148	281	438	150	18	12.00%	121	12	90.08%	0	334	643	51.94%	336	661	50.83%	170	308	55.19%	536	367	499	169	274	142
13	7	3	4	0	0	0	0	0	23	29	-6	3	2	1	0	0	0	0	0	11	7	4	4	1	3	0	0	0	0	0	12	22	-10	6	23	45	68	0	1	0	10	8	5	160	0	42	57	61	268	74	64	109	30	8	26.67%	33	14	57.58%	0	45	134	33.58%	71	219	32.42%	50	111	45.05%	95	64	253	50	70	26
14	5	1	4	0	0	0	0	0	7	10	-3	3	0	3	0	0	0	0	0	4	7	-3	2	1	1	0	0	0	0	0	3	3	0	2	7	12	19	0	0	0	1	4	1	105	0	27	39	36	96	27	77	92	16	0	0.00%	31	6	80.65%	1	73	144	50.69%	73	137	53.28%	37	76	48.68%	131	90	111	37	67	34
15	7	3	4	0	0	0	0	0	9	9	0	4	2	2	0	0	0	0	0	6	6	0	3	1	2	0	0	0	0	0	3	3	0	6	9	18	27	0	1	0	3	0	6	138	0	43	38	44	161	52	90	155	43	2	4.65%	45	4	91.11%	0	95	208	45.67%	126	238	52.94%	41	81	50.62%	177	119	184	57	92	46
16	6	2	4	0	0	0	0	0	13	16	-3	3	2	1	0	0	0	0	0	9	6	3	3	0	3	0	0	0	0	0	4	10	-6	4	13	22	35	0	0	0	6	0	6	137	0	36	51	43	146	39	129	113	27	4	14.81%	47	8	82.98%	0	106	181	58.56%	115	189	60.85%	56	92	60.87%	146	100	146	43	75	38
Total Playoff	50	22	28	0	0	0	0	0	110	120	-10	27	13	14	0	0	0	0	0	62	59	3	23	9	14	0	0	0	0	0	48	61	-13	44	110	204	314	0	2	0	36	34	34	1142	0	317	392	360	1269	379	765	1011	303	35	11.55%	331	51	84.59%	1	731	1460	50.07%	826	1632	50.61%	385	737	52.24%	1201	816	1320	400	640	317