LHSDB - Ligue de hockey simulee des debiles barbus

Dallas Stars
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

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.
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	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Noah Gregor	0	X			99.00	78	43	84	67	72	83	84	68	62	66	65	64	67	65	66	58	50	66	0
2	Zack MacEwen	0	X			99.00	83	81	66	67	84	78	85	64	73	66	67	65	66	68	69	37	50	66	0
3	Paul Cotter	0	X			100.00	83	40	78	66	83	80	83	65	68	58	67	56	62	63	65	58	50	64	0
4	Scott Reedy	0	X			99.00	68	38	92	62	81	78	84	60	71	56	63	59	62	65	67	60	50	62	0
5	Emilio Pettersen	0		X		99.00	57	38	85	62	66	81	82	61	63	62	61	56	62	64	65	49	50	61	0
6	Ryan Suzuki	0	X			100.00	61	37	86	61	70	74	75	60	67	61	59	57	60	62	64	80	50	60	0
7	Hunter McKown	0	X			100.00	62	36	79	62	78	80	61	59	73	60	50	58	55	60	61	43	50	59	0
8	Karl Henriksson	0	X			100.00	56	36	91	55	65	69	72	54	57	56	55	52	53	62	64	70	50	56	0
9	Tyson Kozak	0	X			100.00	58	39	77	54	67	71	69	52	58	53	54	51	53	61	63	49	50	55	0
10	Markus Niemelainen	0			X	100.00	84	40	89	59	90	75	80	58	30	59	58	64	49	65	67	68	50	65	0
11	Lucas Carlsson	0			X	100.00	63	38	82	66	72	89	81	65	30	68	62	61	52	66	68	58	50	65	0
12	Cam Dineen	0			X	100.00	60	36	94	65	70	85	83	63	30	69	53	64	48	65	67	64	50	64	0
13	Filip Kral	0			X	100.00	69	38	88	60	80	73	75	57	30	59	58	61	50	64	66	53	50	62	0
14	Joe Hicketts	0			X	100.00	55	39	75	61	64	79	85	58	30	66	55	56	48	67	69	37	50	61	0
15	Marc Del Gaizo	0			X	100.00	59	38	82	57	68	72	86	56	30	61	53	54	47	64	66	59	50	59	0
Scratches
1	Mark Kastelic	0	X			100.00	86	77	65	62	90	74	89	61	87	65	62	67	61	64	66	57	50	65	0
2	Ilya Usau	0	X			100.00	65	38	85	55	74	71	70	54	63	56	54	55	56	62	64	41	50	57	0
3	Ville Heinola	0			X	98.37	64	40	78	66	74	83	80	65	30	69	58	60	50	62	64	82	50	64	0

	TEAM AVERAGE				99.67	67	43	82	62	75	78	79	60	53	62	59	59	56	64	66	57	50	62

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.
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	77	78	79	82	76	75	77	76	75	77	76	68	81	56	50	75	0
2	Felix Sandstrom	100.00	74	79	77	79	73	72	74	73	72	74	73	66	75	63	50	72	0
3	Michael Houser	100.00	74	61	62	74	73	72	74	73	72	74	73	71	85	49	50	71	0
Scratches
1	Keith Petruzzelli	100.00	70	61	62	86	69	68	70	69	68	70	69	64	71	62	50	68	0

	TEAM AVERAGE	100.00	74	70	70	80	73	72	74	73	72	74	73	67	78	58	50	72

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd Reirden	72	71	74	70	78	72	72	USA	52	5	1,000,000$

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.
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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	FW	S1	S2	S3
1	Zack MacEwen	Stars (Dal)	C	18	19	8	27	7	38	0	71	41	112	23	61	16.96%	22	284	15.79	5	0	5	25	38	0	2	2	1	78.26%	46	2	1.90	0	4	1	1
2	Ryan Suzuki	Stars (Dal)	C	18	8	19	27	7	0	0	9	28	86	27	54	9.30%	15	277	15.42	0	6	6	10	37	0	0	0	0	73.33%	15	0	1.95	0	0	3	2
3	Mark Kastelic	Stars (Dal)	C	12	16	4	20	-1	21	5	49	31	95	33	62	16.84%	22	222	18.56	2	2	4	18	33	0	0	1	2	76.19%	21	2	1.80	1	2	1	1
4	Ville Heinola	Stars (Dal)	D	9	2	9	11	6	20	0	34	7	20	6	5	10.00%	13	126	14.06	1	0	1	5	5	1	4	0	0	0.00%	0	0	1.74	0	0	0	2
5	Noah Gregor	Stars (Dal)	C	1	2	1	3	1	0	0	1	6	7	1	5	28.57%	0	22	22.72	1	1	2	3	5	0	3	1	0	84.21%	19	0	2.64	0	1	0	0
6	Hunter McKown	Stars (Dal)	C	1	1	1	2	0	0	0	0	1	2	0	1	50.00%	0	18	18.95	1	1	2	2	6	0	0	0	0	0.00%	0	0	2.11	0	0	1	0
7	Scott Reedy	Stars (Dal)	C	1	0	2	2	0	0	0	0	0	4	0	2	0.00%	0	22	22.25	0	1	1	1	7	1	1	0	0	66.67%	3	0	1.80	0	0	0	0
8	Lucas Carlsson	Stars (Dal)	D	1	0	2	2	1	0	0	2	1	4	3	0	0.00%	0	24	24.33	0	1	1	2	7	0	2	0	0	0.00%	0	0	1.64	0	0	0	1
9	Markus Niemelainen	Stars (Dal)	D	1	1	0	1	1	2	0	1	0	3	1	1	33.33%	0	22	22.95	1	0	1	1	7	0	1	0	0	0.00%	0	0	0.87	0	0	0	0
10	Joe Hicketts	Stars (Dal)	D	18	0	1	1	1	2	0	3	1	2	1	0	0.00%	0	26	1.46	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.76	0	0	0	0
11	Cam Dineen	Stars (Dal)	D	1	0	1	1	-1	0	0	0	1	2	1	2	0.00%	0	21	21.67	0	1	1	2	6	0	3	0	0	0.00%	0	0	0.92	0	0	0	0
12	Karl Henriksson	Stars (Dal)	C	1	0	0	0	0	0	0	0	0	4	1	4	0.00%	0	15	15.70	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.00	0	0	0	0
13	Paul Cotter	Stars (Dal)	C	1	0	0	0	0	0	0	4	3	7	3	9	0.00%	0	15	15.82	0	0	0	0	0	0	1	0	0	72.73%	11	0	0.00	0	0	0	0
14	Emilio Pettersen	Stars (Dal)	LW	1	0	0	0	-1	2	0	0	1	3	0	3	0.00%	0	20	20.62	0	0	0	2	7	0	0	0	0	100.00%	2	0	0.00	0	0	0	0
15	Tyson Kozak	Stars (Dal)	C	1	0	0	0	0	0	0	0	1	0	1	4	0.00%	0	15	15.60	0	0	0	0	0	0	0	0	0	100.00%	2	0	0.00	0	0	0	0
16	Filip Kral	Stars (Dal)	D	18	0	0	0	-1	0	0	1	0	4	0	0	0.00%	2	22	1.27	0	0	0	2	6	0	4	0	0	0.00%	0	0	0.00	0	0	0	0
17	Marc Del Gaizo	Stars (Dal)	D	1	0	0	0	0	0	0	0	0	1	1	1	0.00%	0	15	15.37	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.00	0	0	0	0
Team Total or Average				104	49	48	97	20	85	5	175	122	356	102	214	13.76%	74	1176	11.31	11	13	24	73	170	2	29	4	3	78.15%	119	4	1.65	1	7	6	7

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.
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
Team Total or Average							0.000	0.00	0								0.000

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.
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	25	1998-06-19	No	188 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Emilio Pettersen	LW	23	2000-04-03	No	170 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Felix Sandstrom	G	26	1997-01-12	No	191 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Filip Kral	D	24	1999-10-20	No	198 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Hunter McKown	C	21	2002-08-18	No	205 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Ilya Usau	C	22	2001-08-03	No	183 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Joe Hicketts	D	27	1996-05-04	No	180 Lbs	5 ft8	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Karl Henriksson	C	22	2001-02-05	No	179 Lbs	5 ft9	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Keith Petruzzelli	G	24	1999-02-09	No	185 Lbs	6 ft5	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Lucas Carlsson	D	26	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	24	1999-10-11	No	188 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Mark Kastelic	C	24	1999-03-11	No	233 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Markus Niemelainen	D	25	1998-06-08	No	190 Lbs	6 ft6	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Michael Houser	G	31	1992-09-13	No	185 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	400,000$	0$	0$	No	Link
Noah Gregor	C	25	1998-07-28	No	190 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Paul Cotter	C	24	1999-11-16	No	212 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ryan Suzuki	C	22	2001-05-28	No	176 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Scott Reedy	C	24	1999-04-04	No	205 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Spencer Martin	G	28	1995-06-08	No	191 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Tyson Kozak	C	20	2002-12-29	No	173 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Ville Heinola	D	22	2001-03-02	No	185 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Zack MacEwen	C	27	1996-07-08	No	205 Lbs	6 ft3	No	No	No	2	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
22	24.36	191 Lbs	6 ft1	2.27	413,636$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Emilio Pettersen	Zack MacEwen	Scott Reedy	40	1	2	2
2	Ryan Suzuki	Noah Gregor	Hunter McKown	30	1	2	2
3	Karl Henriksson	Paul Cotter	Tyson Kozak	20	1	2	2
4	Zack MacEwen	Scott Reedy	Noah Gregor	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lucas Carlsson	Markus Niemelainen	40	1	2	2
2	Cam Dineen	Filip Kral	30	1	2	2
3	Joe Hicketts	Marc Del Gaizo	20	1	2	2
4	Lucas Carlsson	Markus Niemelainen	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Emilio Pettersen	Zack MacEwen	Scott Reedy	60	1	2	2
2	Ryan Suzuki	Noah Gregor	Hunter McKown	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lucas Carlsson	Markus Niemelainen	60	1	2	2
2	Cam Dineen	Filip Kral	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Zack MacEwen	Noah Gregor	60	1	2	2
2	Paul Cotter	Scott Reedy	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lucas Carlsson	Markus Niemelainen	60	1	2	2
2	Cam Dineen	Filip Kral	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Zack MacEwen	60	1	2	2	Lucas Carlsson	Markus Niemelainen	60	1	2	2
2	Noah Gregor	40	1	2	2	Cam Dineen	Filip Kral	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Zack MacEwen	Noah Gregor	60	1	2	2
2	Paul Cotter	Scott Reedy	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lucas Carlsson	Markus Niemelainen	60	1	2	2
2	Cam Dineen	Filip Kral	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Emilio Pettersen	Zack MacEwen	Scott Reedy	Lucas Carlsson	Markus Niemelainen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Emilio Pettersen	Zack MacEwen	Scott Reedy	Lucas Carlsson	Markus Niemelainen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Karl Henriksson, Tyson Kozak, Emilio Pettersen	Karl Henriksson, Tyson Kozak	Emilio Pettersen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Joe Hicketts, Marc Del Gaizo, Cam Dineen	Joe Hicketts	Marc Del Gaizo, Cam Dineen

Penalty Shots
Zack MacEwen, Noah Gregor, Paul Cotter, Scott Reedy, Emilio Pettersen

Goalie
#1 : , #2 :

Custom OT Lines Forwards
Zack MacEwen, Noah Gregor, Paul Cotter, Scott Reedy, Emilio Pettersen, Ryan Suzuki, Ryan Suzuki, Hunter McKown, Karl Henriksson, Tyson Kozak,

Custom OT Lines Defensemen
Lucas Carlsson, Markus Niemelainen, Cam Dineen, Filip Kral, Joe Hicketts

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.
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
18	12	W1	67	111	178	631	824	233	189	419	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	5	12	1	0	0	0	67	105

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	6	0	0	0	0	28	50

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	3	6	1	0	0	0	39	55

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	8	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
77	13	16.88%	89	26	70.79%	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
208	210	211	2	29	22	15	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
235	541	43.44%	210	617	34.04%	143	316	45.25%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
377	274	515	113	189	88

Last Played Games 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.
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
4 - 2023-08-13	8	Roadrunners	5	Stars	7	W		BoxScore
5 - 2023-08-14	24	Roadrunners	4	Stars	8	W		BoxScore
9 - 2023-08-18	31	Stars	8	Wolves	5	W		BoxScore
12 - 2023-08-21	52	Stars	6	Admirals	7	L		BoxScore
13 - 2023-08-22	62	Stars	5	Wolves	4	W	X	BoxScore
18 - 2023-08-27	82	Moose	6	Stars	1	L		BoxScore
19 - 2023-08-28	96	Moose	5	Stars	3	L		BoxScore
26 - 2023-09-04	132	Stars	2	Wild	4	L		BoxScore
27 - 2023-09-05	141	Stars	5	Wild	8	L		BoxScore
30 - 2023-09-08	145	Stars	5	IceHogs	3	W		BoxScore
32 - 2023-09-10	158	Admirals	9	Stars	3	L		BoxScore
33 - 2023-09-11	169	Admirals	4	Stars	2	L		BoxScore
39 - 2023-09-17	199	Griffins	8	Stars	1	L		BoxScore
40 - 2023-09-18	215	Griffins	9	Stars	3	L		BoxScore
46 - 2023-09-24	246	Stars	0	Eagles	7	L		BoxScore
47 - 2023-09-25	252	Stars	0	Eagles	10	L		BoxScore
51 - 2023-09-29	273	Stars	4	Gulls	6	L		BoxScore
53 - 2023-10-01	286	Stars	4	Condors	1	W		BoxScore
54 - 2023-10-02	302	Stars	-	Condors	-
60 - 2023-10-08	323	Wolves	-	Stars	-
61 - 2023-10-09	339	Wolves	-	Stars	-
65 - 2023-10-13	351	Stars	-	Griffins	-
67 - 2023-10-15	362	Stars	-	Griffins	-
68 - 2023-10-16	374	Stars	-	Wolves	-
71 - 2023-10-19	388	Griffins	-	Stars	-
72 - 2023-10-20	393	Griffins	-	Stars	-
81 - 2023-10-29	445	Stars	-	Moose	-
83 - 2023-10-31	463	Stars	-	Moose	-
85 - 2023-11-02	469	Stars	-	Wolves	-
88 - 2023-11-05	482	IceHogs	-	Stars	-
89 - 2023-11-06	497	IceHogs	-	Stars	-
96 - 2023-11-13	540	Wolves	-	Stars	-
97 - 2023-11-14	547	Wolves	-	Stars	-
102 - 2023-11-19	570	Stars	-	Admirals	-
103 - 2023-11-20	582	Stars	-	Admirals	-
105 - 2023-11-22	595	Stars	-	Wild	-
107 - 2023-11-24	605	Stars	-	Wild	-
109 - 2023-11-26	616	Firebirds	-	Stars	-
110 - 2023-11-27	633	Firebirds	-	Stars	-
116 - 2023-12-03	662	Condors	-	Stars	-
117 - 2023-12-04	677	Condors	-	Stars	-
123 - 2023-12-10	692	Stars	-	IceHogs	-
124 - 2023-12-11	702	Stars	-	Admirals	-
127 - 2023-12-14	714	Stars	-	IceHogs	-
130 - 2023-12-17	731	Wild	-	Stars	-
131 - 2023-12-18	742	Wild	-	Stars	-
135 - 2023-12-22	763	Stars	-	Griffins	-
137 - 2023-12-24	777	Stars	-	IceHogs	-
138 - 2023-12-25	791	Stars	-	Griffins	-
141 - 2023-12-28	803	Gulls	-	Stars	-
142 - 2023-12-29	812	Gulls	-	Stars	-
145 - 2024-01-01	830	Stars	-	Moose	-
146 - 2024-01-02	842	Stars	-	Moose	-
151 - 2024-01-07	865	Barracuda	-	Stars	-
152 - 2024-01-08	880	Barracuda	-	Stars	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2024-01-11	892	IceHogs	-	Stars	-
156 - 2024-01-12	901	IceHogs	-	Stars	-
159 - 2024-01-15	927	Stars	-	Roadrunners	-
160 - 2024-01-16	935	Stars	-	Roadrunners	-
163 - 2024-01-19	949	Stars	-	Firebirds	-
165 - 2024-01-21	959	Stars	-	Gulls	-
166 - 2024-01-22	972	Stars	-	Firebirds	-
172 - 2024-01-28	1003	Wild	-	Stars	-
173 - 2024-01-29	1016	Wild	-	Stars	-
176 - 2024-02-01	1025	Eagles	-	Stars	-
177 - 2024-02-02	1031	Eagles	-	Stars	-
180 - 2024-02-05	1055	Admirals	-	Stars	-
181 - 2024-02-06	1066	Admirals	-	Stars	-
186 - 2024-02-11	1086	Stars	-	Barracuda	-
187 - 2024-02-12	1091	Stars	-	Barracuda	-
193 - 2024-02-18	1125	Moose	-	Stars	-
194 - 2024-02-19	1139	Moose	-	Stars	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	15,703	7,461
Attendance PCT	98.14%	93.26%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
28	2896 - 96.52%	72,767$	582,137$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
295,247$	91,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	23,401$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,037,480$	142	5,595$	794,490$

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
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
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
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
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
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	0	82	78	51	1967	0	637	656	653	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
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	0	82	78	51	1967	0	637	656	653	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
18	18	5	12	0	1	0	0	0	67	105	-38	8	2	6	0	0	0	0	0	28	50	-22	10	3	6	0	1	0	0	0	39	55	-16	12	67	111	178	0	0	29	22	15	1	631	208	210	211	2	824	233	189	419	77	13	16.88%	89	26	70.79%	0	235	541	43.44%	210	617	34.04%	143	316	45.25%	377	274	515	113	189	88
Total Regular Season	958	525	266	0	45	44	46	32	3003	1971	1032	478	258	126	0	20	26	28	20	1464	970	494	480	267	140	0	25	18	18	12	1539	1001	538	1308	3003	5363	8366	6	130	29	1128	1011	745	26409	208	8372	8919	8662	22120	6495	12933	18957	5125	885	17.27%	5321	674	87.33%	68	16903	29285	57.72%	15158	28019	54.10%	7633	13618	56.05%	25818	18623	20900	6578	11342	5952
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
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
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
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
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
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
Total Playoff	88	40	48	0	0	0	0	0	194	208	-14	48	22	26	0	0	0	0	0	106	106	0	40	18	22	0	0	0	0	0	88	102	-14	80	194	364	558	0	4	0	60	68	56	2010	0	562	682	634	2246	680	1272	1796	552	62	11.23%	568	86	84.86%	2	1250	2558	48.87%	1422	2886	49.27%	658	1290	51.01%	2110	1432	2347	714	1130	558