LHSDB - Ligue de hockey simulee des debiles barbus

Dallas Stars
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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	Nikolai Prokhorkin		X			100.00	67	42	89	65	81	76	67	63	59	66	55	59	63	73	69	54	50	62	0
2	Kalle Kossila	X				100.00	57	39	83	61	69	76	73	62	72	60	60	63	61	73	67	58	50	61	0
3	Noah Gregor (R)	X				100.00	68	41	88	64	71	73	66	62	70	61	59	63	64	63	62	65	50	61	0
4	Nikita Jevpalovs			X		100.00	66	49	88	60	79	87	89	58	53	56	56	57	60	71	66	59	50	61	0
5	Isac Lundestrom	X				100.00	59	38	86	63	72	79	77	62	74	61	57	59	62	61	63	81	50	61	0
6	Nick Lappin			X		100.00	58	42	89	60	72	79	73	61	54	58	59	62	60	75	65	56	50	60	0
7	Nicholas Merkley			X		100.00	58	42	89	60	69	77	73	62	57	61	59	58	62	65	63	78	50	60	0
8	Philippe Myers				X	100.00	77	48	82	66	91	80	74	67	30	68	59	65	52	65	63	56	50	66	0
9	Dylan McIlrath				X	100.00	75	57	77	60	96	80	72	59	30	57	56	66	53	75	68	71	50	65	0
10	Chris Breen				X	100.00	84	53	76	55	99	76	76	53	30	54	51	61	45	79	71	54	50	64	0
11	Timothy Liljegren				X	100.00	71	45	89	62	74	73	72	63	30	61	57	64	55	61	64	83	50	63	0
12	Kevin Gravel				X	100.00	66	43	84	59	87	72	67	58	30	57	56	64	53	75	68	53	50	62	0
13	Joe Hicketts				X	100.00	55	45	88	63	64	85	74	62	30	61	57	65	53	67	63	54	50	62	0
14	Ville Heinola (R)				X	100.00	57	39	90	65	68	72	75	63	30	64	55	57	51	59	60	84	50	60	0
15	Ryan Johnston				X	100.00	51	38	88	61	66	72	71	59	30	58	53	56	49	75	68	54	50	59	0
16	Cam Dineen				X	100.00	53	39	87	56	58	86	88	55	30	53	54	57	45	63	62	68	50	59	0
17	Niclas Almari (R)				X	100.00	57	44	82	55	73	85	84	53	30	52	51	54	45	63	61	66	50	58	0
18	Chad Krys (R)				X	100.00	54	41	88	56	58	79	78	54	30	53	53	52	50	63	62	74	50	56	0
19	David Quenneville (R)				X	100.00	53	41	87	56	66	73	72	54	30	55	52	53	45	63	62	64	50	56	0
Scratches

	TEAM AVERAGE					100.00	62	43	86	60	74	78	75	59	42	59	56	60	54	68	65	65	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`)
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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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Stuart Skinner	100.00	74	73	71	88	73	72	74	73	72	74	73	63	67	65	50	71	0
2	Felix Sandstrom	100.00	75	52	50	79	74	73	75	74	73	75	74	65	69	66	50	69	0
Scratches
1	Spencer Martin	100.00	68	77	75	83	67	66	68	67	66	68	67	69	73	65	50	68	0
2	Josef Korenar	100.00	69	83	81	74	68	67	69	68	67	69	68	63	67	63	50	68	0

	TEAM AVERAGE	100.00	72	71	69	81	71	70	72	71	70	72	71	65	69	65	50	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Scott Gordon	71	73	73	78	88	83	61	USA	57	3	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Philippe Myers	Stars (Dal)	D	68	14	54	68	29	57	5	108	78	131	36	75	10.69%	63	1564	23.00	12	17	29	101	288	0	1	1	1	292	4	0	0.00%	0	0	0	0.87	0	0	0	0	1	4	6	4
2	Nikolai Prokhorkin	Stars (Dal)	LW	68	20	34	54	21	38	0	76	76	182	42	133	10.99%	11	1449	21.31	9	13	22	48	274	0	1	1	5	214	2	1	61.05%	190	0	0	0.75	1	1	0	0	0	4	4	2
3	Zack MacEwen	Dallas Stars	C	63	18	35	53	30	42	0	112	121	171	51	122	10.53%	15	1383	21.97	6	10	16	33	238	1	2	3	11	286	3	2	56.15%	1204	0	0	0.77	2	6	0	0	0	2	7	3
4	Noah Gregor	Stars (Dal)	C	68	22	26	48	13	56	0	96	113	174	53	119	12.64%	8	1210	17.79	4	11	15	27	119	1	0	1	3	71	5	2	58.18%	954	0	0	0.79	1	1	0	0	0	2	5	5
5	Dylan McIlrath	Stars (Dal)	D	68	9	34	43	29	122	20	108	48	97	30	65	9.28%	68	1526	22.45	3	16	19	68	287	0	2	2	1	271	0	1	0.00%	0	1	0	0.56	0	0	1	1	2	2	1	4
6	Dale Weise	Dallas Stars	RW	61	21	19	40	22	66	10	135	71	149	31	100	14.09%	6	1237	20.29	7	8	15	30	241	1	0	1	9	153	5	1	55.50%	200	0	0	0.65	1	4	0	0	2	5	4	4
7	Kalle Kossila	Stars (Dal)	C	68	17	22	39	17	42	0	56	98	168	51	112	10.12%	10	1169	17.20	4	5	9	41	196	0	0	0	2	33	4	0	63.29%	493	0	0	0.67	0	0	0	0	0	5	2	3
8	Timothy Liljegren	Stars (Dal)	D	68	10	28	38	20	43	5	41	37	112	29	75	8.93%	64	1339	19.70	6	7	13	83	261	1	1	2	2	265	3	0	0.00%	0	0	1	0.57	0	0	0	0	1	3	1	4
9	Jesper Boqvist	Dallas Stars	C	48	15	20	35	13	26	0	55	128	156	33	98	9.62%	13	1204	25.08	6	6	12	30	192	0	1	1	11	233	4	1	59.73%	1485	0	1	0.58	1	6	0	0	0	4	3	0
10	Nikita Jevpalovs	Stars (Dal)	RW	68	9	23	32	22	72	10	85	52	106	30	71	8.49%	6	1111	16.34	0	9	9	23	278	0	0	0	0	14	2	1	49.38%	81	0	0	0.58	0	0	1	0	0	1	0	4
11	Nick Lappin	Stars (Dal)	RW	68	16	9	25	8	11	5	37	59	145	34	85	11.03%	8	1045	15.38	1	2	3	5	40	0	0	0	5	123	2	1	52.00%	150	0	0	0.48	0	0	0	0	1	2	2	2
12	Isac Lundestrom	Stars (Dal)	C	68	6	14	20	11	26	0	48	66	97	21	77	6.19%	5	1009	14.84	0	4	4	5	64	1	0	1	3	24	1	0	60.87%	161	0	0	0.40	0	0	0	0	0	1	1	3
13	Chris Breen	Stars (Dal)	D	68	5	14	19	20	154	30	150	31	61	10	35	8.20%	60	1299	19.12	2	7	9	39	260	0	0	0	2	236	1	0	0.00%	0	0	0	0.29	0	0	1	3	2	1	1	0
14	Joe Hicketts	Stars (Dal)	D	68	5	13	18	2	29	5	24	35	30	12	20	16.67%	25	714	10.51	0	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0	0	0.50	0	0	0	0	1	0	1	1
15	Kevin Gravel	Stars (Dal)	D	68	4	9	13	2	64	0	72	26	29	3	18	13.79%	28	715	10.52	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.36	0	0	0	0	0	0	1	2
16	Nicholas Merkley	Stars (Dal)	RW	68	6	6	12	3	21	5	27	28	72	18	41	8.33%	3	474	6.97	0	0	0	0	6	0	0	0	0	3	2	0	58.54%	41	0	0	0.51	0	0	0	0	1	0	2	0
17	Ville Heinola	Stars (Dal)	D	68	2	6	8	7	28	0	35	27	25	6	8	8.00%	18	465	6.84	0	0	0	3	19	0	0	0	0	0	0	0	20.00%	5	0	0	0.34	0	0	0	0	0	0	0	1
18	Ryan Johnston	Stars (Dal)	D	68	0	6	6	7	8	0	18	16	10	3	8	0.00%	11	357	5.25	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	0	0	0.34	0	0	0	0	0	0	0	0
19	Cam Dineen	Stars (Dal)	D	68	2	0	2	-5	6	0	3	6	7	4	2	28.57%	3	144	2.12	2	0	2	3	17	0	0	0	1	10	1	0	33.33%	3	0	0	0.28	0	0	0	0	0	0	1	0
20	Chad Krys	Stars (Dal)	D	43	0	1	1	-1	0	0	2	1	3	2	1	0.00%	4	70	1.63	0	0	0	2	10	0	0	0	0	31	0	0	0.00%	0	0	0	0.28	0	0	0	0	0	0	0	0
21	David Quenneville	Stars (Dal)	D	24	0	0	0	-1	0	0	2	0	1	1	3	0.00%	1	32	1.35	0	0	0	0	3	0	0	0	1	19	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
22	Niclas Almari	Stars (Dal)	D	68	0	0	0	0	4	0	6	3	0	0	0	0.00%	12	140	2.07	0	0	0	0	1	0	0	0	0	130	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1395	201	373	574	269	915	95	1296	1120	1926	500	1268	10.44%	442	19665	14.10	62	115	177	541	2804	5	8	13	57	2416	40	10	58.37%	4967	1	2	0.58	6	18	3	4	11	36	42	42

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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	Stuart Skinner	Stars (Dal)	68	43	17	8	0.916	1.84	4119	8	11	126	1507	0	3	0	0.647	17	68	0	7	1	4
Team Total or Average			68	43	17	8	0.916	1.84	4119	8	11	126	1507	0	3	0	0.647	17	68	0	7	1	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
Cam Dineen	D	22	1998-06-19	No	183 Lbs	5 ft1	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Chad Krys	D	22	1998-04-10	Yes	185 Lbs	5 ft1	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Chris Breen	D	31	1989-06-29	No	226 Lbs	6 ft7	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
David Quenneville	D	22	1998-03-13	Yes	189 Lbs	5 ft8	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Dylan McIlrath	D	28	1992-04-20	No	231 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	963,777$	0$	0$	No	Link / NHL Link
Felix Sandstrom	G	24	1997-01-12	No	191 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Isac Lundestrom	C	21	1999-11-06	No	187 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Joe Hicketts	D	24	1996-05-04	No	180 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Josef Korenar	G	22	1998-01-31	No	185 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Kalle Kossila	C	27	1993-04-14	No	182 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Kevin Gravel	D	28	1992-03-06	No	205 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Nicholas Merkley	RW	23	1997-05-23	No	194 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Nick Lappin	RW	28	1992-11-01	No	175 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Niclas Almari	D	22	1998-05-11	Yes	180 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	NHL Link
Nikita Jevpalovs	RW	26	1994-09-09	No	210 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Nikolai Prokhorkin	LW	27	1993-09-17	No	190 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Noah Gregor	C	22	1998-07-28	Yes	185 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	NHL Link
Philippe Myers	D	23	1997-01-25	No	210 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ryan Johnston	D	28	1992-02-14	No	180 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Spencer Martin	G	25	1995-06-08	No	200 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Stuart Skinner	G	22	1998-11-01	No	206 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Timothy Liljegren	D	21	1999-04-30	No	198 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ville Heinola	D	19	2001-03-02	Yes	178 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm		0$	0$	No	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	24.22	193 Lbs	6 ft0	2.52	454,947$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nikolai Prokhorkin	Noah Gregor	Nikita Jevpalovs	40	1	2	2
2	Ville Heinola	Kalle Kossila	Nick Lappin	30	1	2	2
3	Cam Dineen	Isac Lundestrom	Nicholas Merkley	20	1	2	2
4	Noah Gregor	Nikolai Prokhorkin	Kalle Kossila	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philippe Myers	Dylan McIlrath	40	1	2	2
2	Chris Breen	Timothy Liljegren	30	1	2	2
3	Joe Hicketts	Kevin Gravel	20	1	2	2
4	Ville Heinola	Cam Dineen	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nikolai Prokhorkin	Noah Gregor	Nikita Jevpalovs	60	1	2	2
2	Ville Heinola	Kalle Kossila	Nick Lappin	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philippe Myers	Dylan McIlrath	60	1	2	2
2	Chris Breen	Timothy Liljegren	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nikolai Prokhorkin	Noah Gregor	60	1	2	2
2	Kalle Kossila	Isac Lundestrom	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philippe Myers	Dylan McIlrath	60	1	2	2
2	Chris Breen	Timothy Liljegren	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nikolai Prokhorkin	60	1	2	2	Philippe Myers	Dylan McIlrath	60	1	2	2
2	Noah Gregor	40	1	2	2	Chris Breen	Timothy Liljegren	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nikolai Prokhorkin	Noah Gregor	60	1	2	2
2	Kalle Kossila	Isac Lundestrom	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philippe Myers	Dylan McIlrath	60	1	2	2
2	Chris Breen	Timothy Liljegren	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Nikolai Prokhorkin	Noah Gregor	Nikita Jevpalovs	Philippe Myers	Dylan McIlrath

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Nikolai Prokhorkin	Noah Gregor	Nikita Jevpalovs	Philippe Myers	Dylan McIlrath

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nicholas Merkley, Nikita Jevpalovs, Nick Lappin	Nicholas Merkley, Nikita Jevpalovs	Nick Lappin

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ryan Johnston, Niclas Almari, David Quenneville	Ryan Johnston	Niclas Almari, David Quenneville

Penalty Shots
Nikolai Prokhorkin, Noah Gregor, Kalle Kossila, Isac Lundestrom, Nikita Jevpalovs

Goalie
#1 : Stuart Skinner, #2 : Felix Sandstrom

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

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
68	94	L2	204	374	578	1926	1507	443	923	1297	0	11

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
68	38	17	2	5	3	3	204	129

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
33	19	6	2	2	2	2	107	64

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
35	19	11	0	3	1	1	97	65

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	4	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
358	62	17.32%	375	42	88.80%	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
611	644	654	35	74	66	59	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1266	2162	58.56%	1117	1925	58.03%	571	989	57.74%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1901	1371	1406	456	815	436

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	SO	Link
1 - 2020-10-18	4	Rocket	3	Stars	4	W			BoxScore
4 - 2020-10-21	32	Condors	3	Stars	5	W			BoxScore
5 - 2020-10-22	41	Stars	1	Rampage	3	L			BoxScore
6 - 2020-10-23	54	Stars	2	Wild	3	L	X	X	BoxScore
8 - 2020-10-25	73	Stars	2	Marlies	1	W			BoxScore
9 - 2020-10-26	88	Heat	1	Stars	0	L			BoxScore
12 - 2020-10-29	101	Checkers	3	Stars	4	W			BoxScore
13 - 2020-10-30	114	Stars	6	Checkers	2	W			BoxScore
15 - 2020-11-01	133	Condors	3	Stars	5	W			BoxScore
16 - 2020-11-02	146	Stars	0	Thunderbirds	2	L			BoxScore
19 - 2020-11-05	166	Rocket	2	Stars	4	W			BoxScore
21 - 2020-11-07	177	Stars	1	Americans	2	L			BoxScore
24 - 2020-11-10	196	IceHogs	1	Stars	6	W			BoxScore
27 - 2020-11-13	216	Stars	3	Devils	2	W			BoxScore
29 - 2020-11-15	227	Stars	6	Eagles	0	W			BoxScore
30 - 2020-11-16	238	Wolves	0	Stars	2	W			BoxScore
32 - 2020-11-18	253	Stars	3	Admirals	1	W			BoxScore
34 - 2020-11-20	267	Rocket	0	Stars	3	W			BoxScore
36 - 2020-11-22	281	Stars	2	Condors	0	W			BoxScore
38 - 2020-11-24	295	Bears	3	Stars	2	L	X	X	BoxScore
39 - 2020-11-25	316	Stars	3	Senators	1	W			BoxScore
40 - 2020-11-26	326	Stars	3	Monsters	2	W			BoxScore
44 - 2020-11-30	336	Heat	0	Stars	2	W			BoxScore
46 - 2020-12-02	360	Gulls	1	Stars	3	W			BoxScore
48 - 2020-12-04	377	Stars	4	Roadrunners	2	W			BoxScore
50 - 2020-12-06	389	Eagles	1	Stars	6	W			BoxScore
53 - 2020-12-09	408	Stars	2	Admirals	1	W			BoxScore
55 - 2020-12-11	418	Stars	2	Rampage	1	W	X	X	BoxScore
56 - 2020-12-12	429	Senators	1	Stars	2	W	X	X	BoxScore
58 - 2020-12-14	447	Stars	1	Thunderbirds	3	L			BoxScore
59 - 2020-12-15	460	Wolves	1	Stars	3	W			BoxScore
62 - 2020-12-18	483	Monsters	4	Stars	3	L	X		BoxScore
64 - 2020-12-20	498	Stars	4	Reign	1	W			BoxScore
65 - 2020-12-21	509	Stars	4	Gulls	2	W			BoxScore
66 - 2020-12-22	520	Wild	2	Stars	3	W			BoxScore
68 - 2020-12-24	542	Wolf Pack	4	Stars	3	L			BoxScore
70 - 2020-12-26	547	Stars	1	Checkers	2	L	X		BoxScore
73 - 2020-12-29	562	Stars	1	Wolf Pack	3	L			BoxScore
76 - 2021-01-01	580	Crunch	2	Stars	0	L			BoxScore
79 - 2021-01-04	605	Stars	5	IceHogs	1	W			BoxScore
80 - 2021-01-05	612	Phantoms	0	Stars	3	W			BoxScore
82 - 2021-01-07	631	Stars	7	Wild	0	W			BoxScore
85 - 2021-01-10	645	Reign	3	Stars	4	W			BoxScore
89 - 2021-01-14	666	Barracuda	4	Stars	5	W	X	X	BoxScore
90 - 2021-01-15	686	Checkers	3	Stars	4	W	X		BoxScore
94 - 2021-01-19	704	Stars	1	Penguins	2	L	X		BoxScore
96 - 2021-01-21	718	Stars	1	Heat	2	L	X		BoxScore
97 - 2021-01-22	730	Admirals	2	Stars	1	L	X	X	BoxScore
100 - 2021-01-25	753	Stars	2	Barracuda	3	L			BoxScore
102 - 2021-01-27	759	Devils	3	Stars	1	L			BoxScore
104 - 2021-01-29	771	Stars	2	Marlies	3	L			BoxScore
106 - 2021-01-31	791	Americans	2	Stars	0	L			BoxScore
109 - 2021-02-03	816	Griffins	2	Stars	3	W	X		BoxScore
110 - 2021-02-04	830	Stars	4	Griffins	1	W			BoxScore
116 - 2021-02-10	853	IceHogs	2	Stars	9	W			BoxScore
118 - 2021-02-12	872	Stars	2	Sound Tigers	3	L			BoxScore
119 - 2021-02-13	880	Stars	6	Moose	0	W			BoxScore
120 - 2021-02-14	887	Bruins	0	Stars	2	W			BoxScore
125 - 2021-02-19	913	Marlies	0	Stars	3	W			BoxScore
127 - 2021-02-21	931	Stars	2	Crunch	3	L			BoxScore
128 - 2021-02-22	942	Moose	2	Stars	9	W			BoxScore
130 - 2021-02-24	957	Stars	1	Americans	0	W			BoxScore
132 - 2021-02-26	972	Rampage	4	Stars	3	L	X		BoxScore
133 - 2021-02-27	981	Stars	6	Wild	3	W			BoxScore
135 - 2021-03-01	1004	Marlies	2	Stars	0	L			BoxScore
136 - 2021-03-02	1019	Stars	4	Devils	3	W			BoxScore
138 - 2021-03-04	1023	Stars	1	Rocket	4	L			BoxScore
139 - 2021-03-05	1038	Stars	2	Phantoms	3	L			BoxScore
140 - 2021-03-06	1048	Condors	-	Stars	-
144 - 2021-03-10	1071	Penguins	-	Stars	-
145 - 2021-03-11	1086	Stars	-	Eagles	-
148 - 2021-03-14	1104	Roadrunners	-	Stars	-
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2021-03-16	1115	Stars	-	Bears	-
152 - 2021-03-18	1124	Stars	-	Griffins	-
155 - 2021-03-21	1140	Bruins	-	Stars	-
157 - 2021-03-23	1164	Comets	-	Stars	-
159 - 2021-03-25	1180	Stars	-	Bruins	-
160 - 2021-03-26	1182	Stars	-	Wolves	-
161 - 2021-03-27	1202	Comets	-	Stars	-
166 - 2021-04-01	1219	Stars	-	Comets	-
169 - 2021-04-04	1238	Sound Tigers	-	Stars	-
174 - 2021-04-09	1264	Thunderbirds	-	Stars	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	62,859	31,412
Attendance PCT	95.24%	95.19%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
8	2857 - 95.22%	71,233$	2,350,694$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
878,988$	104,638$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	93,642$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
569,865$	38	6,241$	237,158$

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	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	68	38	17	0	2	5	3	3	204	129	75	33	19	6	0	2	2	2	2	107	64	43	35	19	11	0	0	3	1	1	97	65	32	94	204	374	578	0	11	74	66	59	8	1926	611	644	654	35	1507	443	923	1297	358	62	17.32%	375	42	88.80%	5	1266	2162	58.56%	1117	1925	58.03%	571	989	57.74%	1901	1371	1406	456	815	436
Total Regular Season	302	174	74	0	11	15	19	9	954	578	376	150	85	33	0	3	10	13	6	455	286	169	152	89	41	0	8	5	6	3	499	292	207	432	954	1696	2650	3	43	74	352	314	192	8540	611	2744	2871	2277	6802	1960	4009	5956	1656	273	16.49%	1651	207	87.46%	22	5515	9385	58.76%	4854	8764	55.39%	2470	4314	57.26%	8198	5917	6527	2080	3589	1886
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
Total Playoff	37	17	20	0	0	0	0	0	88	95	-7	20	9	11	0	0	0	0	0	47	47	0	17	8	9	0	0	0	0	0	41	48	-7	34	88	164	252	0	1	0	27	34	22	867	0	238	303	273	962	288	546	743	233	29	12.45%	239	39	83.68%	1	530	1071	49.49%	585	1205	48.55%	288	564	51.06%	877	596	989	299	473	232