LHSDB - Ligue de hockey simulee des debiles barbus

New Jersey Devils
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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	Cody Glass	0	X				100.00	64	37	92	71	85	84	88	73	79	72	67	62	71	64	65	86	50	68	0
2	Lukas Reichel	0		X			100.00	58	36	95	70	68	85	87	67	70	68	64	62	69	61	63	83	50	65	0
3	JJ Peterka	0			X		100.00	55	34	89	73	72	83	88	68	58	66	62	56	65	60	62	77	50	64	0
4	Marco Rossi	0	X				100.00	57	38	75	70	68	88	85	68	75	66	59	60	66	63	64	86	50	64	0
5	Will Cuylle	0		X			100.00	76	43	72	62	86	85	73	61	62	58	61	60	64	61	63	68	50	62	0
6	William Dufour	0			X		100.00	71	40	77	63	83	78	72	59	63	60	58	62	64	61	63	49	50	62	0
7	Jean-Luc Foudy	0	X				100.00	58	38	82	66	68	80	82	63	72	64	58	60	64	61	63	66	50	62	0
8	Tyler Benson	0		X			100.00	68	38	81	62	72	76	77	64	63	61	59	60	64	65	67	74	50	62	0
9	Jackson Cates	0	X				100.00	61	36	95	59	72	77	82	57	73	58	59	61	56	66	68	42	50	61	0
10	Alex Turcotte	0	X				100.00	60	38	80	64	69	76	72	62	66	58	59	60	65	62	64	88	50	60	0
11	Jachym Kondelik	0	X				100.00	89	42	83	56	98	71	66	53	61	55	54	62	52	64	66	59	50	60	0
12	Isak Rosen	0		X			100.00	62	35	94	60	62	83	71	58	63	61	59	54	63	60	62	86	50	59	0
13	Jacob Moverare	0				X	100.00	72	40	87	62	85	82	81	59	30	62	58	67	49	65	67	58	50	66	0
14	Brogan Rafferty	0				X	100.00	64	39	82	61	73	75	86	58	30	66	55	59	48	68	70	36	50	63	0
15	Roland McKeown	0				X	100.00	65	39	75	59	76	80	84	57	30	60	58	62	49	67	69	61	50	63	0
16	Jacob Bernard-Docker	0				X	100.00	63	39	83	63	72	82	83	62	30	60	58	61	49	63	65	80	50	63	0
17	Ryan Shea	0				X	100.00	64	39	86	58	73	69	85	57	30	61	54	56	47	66	68	56	50	61	0
18	Max Gildon	0				X	100.00	73	41	75	55	82	70	72	54	30	57	53	56	46	64	66	65	50	60	0
19	Ryan O'Rourke	0				X	100.00	61	37	92	53	70	64	72	52	30	54	50	51	45	61	63	75	50	56	0
Scratches
1	Marcus Bjork	0				X	100.00	77	40	75	65	89	84	74	66	30	67	61	62	52	66	68	42	50	66	0
2	Kim Nousiainen	0				X	100.00	63	36	95	54	63	62	67	53	30	55	52	50	45	63	65	59	50	55	0

	TEAM AVERAGE					100.00	66	38	84	62	76	78	78	61	51	61	58	59	57	63	65	66	50	62

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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8	`?`	Wildcard for a single, non-space character.
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#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Connor Ingram	100.00	79	85	81	80	78	77	79	78	77	79	78	65	75	60	50	76	0
2	Remi Poirier	100.00	72	59	60	82	71	70	72	71	70	72	71	62	67	49	50	68	0
Scratches
1	Beck Warm	100.00	60	55	56	70	59	58	60	59	58	60	59	64	71	43	50	60	0

	TEAM AVERAGE	100.00	70	66	66	77	69	68	70	69	68	70	69	64	71	51	50	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Derek Lalonde	75	76	79	72	76	71	74	USA	51	4	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`)
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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

#	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	P/20	FW	FT	S1	S2	S3
1	Cody Glass	Comets (New)	C	16	12	10	22	14	16	0	39	41	64	19	53	18.75%	5	381	23.86	3	1	4	11	68	3	81	3	0	61.98%	505	1.15	0	0	2	3	3
2	Jacob Moverare	Comets (New)	D	16	4	12	16	14	18	0	25	22	32	8	20	12.50%	20	378	23.66	3	1	4	25	70	1	65	0	0	0.00%	0	0.85	0	0	1	1	2
3	William Dufour	Comets (New)	RW	16	5	10	15	12	10	0	17	21	42	14	32	11.90%	5	292	18.29	0	4	4	11	56	1	39	1	0	65.38%	52	1.02	0	0	1	0	1
4	Lukas Reichel	Comets (New)	LW	16	6	9	15	15	10	0	23	27	64	16	52	9.38%	2	315	19.71	0	3	3	16	71	1	23	1	1	47.06%	17	0.95	0	0	2	2	0
5	Brogan Rafferty	Comets (New)	D	16	4	8	12	9	14	0	32	11	21	3	21	19.05%	12	303	18.99	2	4	6	17	55	0	54	1	0	0.00%	0	0.79	0	0	1	0	1
6	Jean-Luc Foudy	Comets (New)	C	16	4	8	12	11	2	0	4	22	29	10	16	13.79%	1	183	11.47	0	0	0	0	0	0	0	0	1	54.60%	174	1.31	0	0	1	1	0
7	Brad Hunt	New Jersey Devils	D	14	2	8	10	8	4	0	5	8	18	5	11	11.11%	9	265	18.99	1	0	1	12	44	1	48	1	0	0.00%	0	0.75	0	0	0	1	0
8	Marcus Bjork	Comets (New)	D	9	0	10	10	9	14	0	16	7	18	3	9	0.00%	8	181	20.22	0	2	2	15	31	0	31	0	0	0.00%	0	1.10	0	0	0	1	0
9	Will Cuylle	Comets (New)	LW	16	4	5	9	1	17	5	40	10	35	12	39	11.43%	2	230	14.38	2	0	2	10	57	2	19	0	0	61.11%	18	0.78	1	0	0	2	1
10	Klim Kostin	New Jersey Devils	C/LW/RW	10	5	3	8	4	21	5	22	22	29	5	20	17.24%	3	199	19.97	1	2	3	6	32	0	51	2	0	62.69%	67	0.80	0	1	1	0	1
11	Marco Rossi	Comets (New)	C	13	2	6	8	10	10	0	15	6	14	5	9	14.29%	2	184	14.18	0	0	0	0	0	0	0	1	0	69.84%	63	0.87	0	0	0	0	0
12	Tyler Benson	Comets (New)	LW	16	3	5	8	5	0	0	5	14	28	5	11	10.71%	0	122	7.63	0	0	0	0	1	0	2	1	0	33.33%	6	1.31	0	0	0	0	1
13	Philip Tomasino	New Jersey Devils	C/LW/RW	5	2	4	6	5	2	0	9	7	13	11	9	15.38%	1	98	19.70	0	1	1	2	23	0	5	0	0	66.67%	9	1.22	0	0	1	0	0
14	Jachym Kondelik	Comets (New)	C	16	3	2	5	5	10	0	18	7	11	5	8	27.27%	2	114	7.18	0	0	0	0	0	0	0	0	0	55.88%	102	0.87	0	0	0	1	0
15	Alex Turcotte	Comets (New)	C	16	1	2	3	0	2	0	9	20	20	6	15	5.00%	1	153	9.58	0	0	0	0	3	0	8	0	0	49.37%	158	0.39	0	0	0	0	0
16	Max Gildon	Comets (New)	D	16	0	3	3	3	18	0	17	4	8	0	1	0.00%	4	128	8.02	0	0	0	2	7	0	24	0	0	0.00%	0	0.47	0	0	0	0	0
17	Roland McKeown	Comets (New)	D	16	0	3	3	4	12	0	14	2	7	1	3	0.00%	7	162	10.15	0	0	0	0	0	0	0	0	0	0.00%	0	0.37	0	0	0	0	0
18	Ryan Shea	Comets (New)	D	16	0	3	3	4	8	0	4	6	1	1	1	0.00%	1	83	5.21	0	0	0	0	0	0	0	0	0	0.00%	0	0.72	0	0	0	0	0
19	Jacob Bernard-Docker	Comets (New)	D	16	1	2	3	4	8	0	4	5	10	1	2	10.00%	5	163	10.24	0	0	0	0	0	0	1	1	0	0.00%	0	0.37	0	0	0	0	1
20	JJ Peterka	Comets (New)	RW	12	2	0	2	-5	2	0	2	11	23	5	17	8.70%	2	168	14.08	0	0	0	1	3	0	17	0	0	50.00%	16	0.24	0	0	0	0	0
21	Jackson Cates	Comets (New)	C	16	2	0	2	4	2	0	0	10	11	3	8	18.18%	1	111	6.95	0	0	0	0	0	0	0	0	0	80.00%	5	0.36	0	0	0	0	0
22	Isak Rosen	Comets (New)	LW	16	0	1	1	0	4	0	3	10	16	5	5	0.00%	0	141	8.87	0	0	0	0	0	0	0	0	0	71.43%	7	0.14	0	0	0	0	0
23	Ryan O'Rourke	Comets (New)	D	16	0	0	0	-1	2	0	1	1	2	0	0	0.00%	2	24	1.54	0	0	0	2	1	0	17	0	0	0.00%	0	0.00	0	0	0	0	0
Team Total or Average				335	62	114	176	135	206	10	324	294	516	143	362	12.02%	95	4390	13.11	12	18	30	130	529	9	491	12	2	58.97%	1199	0.80	1	1	10	12	11

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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	Connor Ingram	Comets (New)	16	12	3	1	0.918	1.68	962	4	4	27	331	0	1	1	0.000	0	16	0	2	1	1
Team Total or Average			16	12	3	1	0.918	1.68	962	4	4	27	331	0	1	1	0.000	0	16	0	2	1	1

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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
Alex Turcotte	C	22	2001-02-26	No	185 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Beck Warm	G	24	1999-04-22	No	173 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Brogan Rafferty	D	28	1995-05-28	No	195 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cody Glass	C	24	1999-04-01	No	206 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Connor Ingram	G	26	1997-03-31	No	196 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Isak Rosen	LW	20	2003-03-15	No	156 Lbs	5 ft10	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
JJ Peterka	RW	21	2002-01-14	No	189 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jachym Kondelik	C	23	1999-12-21	No	226 Lbs	6 ft6	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Jackson Cates	C	26	1997-09-26	No	190 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Jacob Bernard-Docker	D	23	2000-06-30	No	190 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Jacob Moverare	D	25	1998-08-31	No	210 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Jean-Luc Foudy	C	21	2002-05-13	No	177 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Kim Nousiainen	D	23	2000-11-14	No	170 Lbs	5 ft9	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Lukas Reichel	LW	21	2002-05-17	No	170 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Marco Rossi	C	22	2001-09-23	No	182 Lbs	5 ft9	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Marcus Bjork	D	26	1997-11-24	No	211 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Max Gildon	D	24	1999-05-17	No	194 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Remi Poirier	G	22	2001-10-06	No	210 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Roland McKeown	D	27	1996-01-20	No	195 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ryan O'Rourke	D	21	2002-05-16	No	178 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Ryan Shea	D	26	1997-02-11	No	177 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Tyler Benson	LW	25	1998-03-15	No	190 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Will Cuylle	LW	21	2002-02-05	No	211 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link
William Dufour	RW	21	2002-01-28	No	215 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	23.42	192 Lbs	6 ft1	2.75	535,417$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Lukas Reichel	Cody Glass		40	1	2	2
2		Jean-Luc Foudy	William Dufour	30	1	2	2
3	Will Cuylle	Alex Turcotte	Isak Rosen	20	1	2	2
4	Tyler Benson	Jachym Kondelik	Jackson Cates	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jacob Moverare	40	1	2	2
2		Brogan Rafferty	30	1	2	2
3	Roland McKeown	Jacob Bernard-Docker	20	1	2	2
4	Ryan Shea	Max Gildon	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Lukas Reichel	Cody Glass		60	1	2	2
2	Will Cuylle		William Dufour	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jacob Moverare	60	1	2	2
2		Brogan Rafferty	40	1	2	2

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

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

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Cody Glass	60	1	2	2		Jacob Moverare	60	1	2	2
2		40	1	2	2		Brogan Rafferty	40	1	2	2

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Jacob Moverare	60	1	2	2
2		Brogan Rafferty	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Cody Glass			Jacob Moverare

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Cody Glass			Jacob Moverare

Extra Forwards
Normal	PowerPlay	Penalty Kill
William Dufour, Will Cuylle, Tyler Benson	William Dufour, Will Cuylle	William Dufour

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Max Gildon, Ryan O'Rourke,	Max Gildon	Max Gildon, Ryan O'Rourke

Penalty Shots
Cody Glass, , , Lukas Reichel, William Dufour

Goalie
#1 : Connor Ingram, #2 : Remi Poirier

Custom OT Lines Forwards
, , Lukas Reichel, , , , , , , , Alex Turcotte

Custom OT Lines Defensemen
, Brogan Rafferty, Jacob Bernard-Docker, , Roland McKeown

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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.
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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
16	25	OTW1	60	109	169	484	332	95	200	308	1	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	10	3	2	1	0	0	60	28

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	0	2	1	0	0	31	14

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	6	3	0	0	0	0	29	14

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	2	1	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
78	12	15.38%	84	10	88.10%	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
189	156	135	4	29	17	12	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
296	519	57.03%	237	435	54.48%	138	229	60.26%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
453	333	327	102	182	99

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
4 - 2023-08-13	2	Crunch	0	Comets	9	W		BoxScore
6 - 2023-08-15	28	Comets	5	Marlies	1	W		BoxScore
12 - 2023-08-21	48	Comets	2	Islanders	0	W		BoxScore
18 - 2023-08-27	77	Comets	4	Crunch	0	W		BoxScore
19 - 2023-08-28	90	Americans	3	Comets	4	W	X	BoxScore
23 - 2023-09-01	108	Comets	2	Rocket	3	L		BoxScore
25 - 2023-09-03	119	Comets	2	Americans	4	L		BoxScore
26 - 2023-09-04	129	Wolfpack	1	Comets	3	W		BoxScore
32 - 2023-09-10	156	Comets	1	Americans	3	L		BoxScore
33 - 2023-09-11	165	Americans	1	Comets	2	W		BoxScore
39 - 2023-09-17	197	Comets	3	Thunderbirds	2	W		BoxScore
40 - 2023-09-18	210	Rocket	4	Comets	3	L	X	BoxScore
44 - 2023-09-22	232	Crunch	2	Comets	6	W		BoxScore
46 - 2023-09-24	239	Comets	8	Crunch	1	W		BoxScore
47 - 2023-09-25	259	Comets	2	Thunderbirds	0	W		BoxScore
51 - 2023-09-29	270	Senators	3	Comets	4	W	X	BoxScore
54 - 2023-10-02	292	Comets	-	Monsters	-
55 - 2023-10-03	304	Comets	-	Monsters	-
60 - 2023-10-08	316	Islanders	-	Comets	-
61 - 2023-10-09	333	Comets	-	Crunch	-
62 - 2023-10-10	344	Crunch	-	Comets	-
67 - 2023-10-15	361	Penguins	-	Comets	-
68 - 2023-10-16	369	Crunch	-	Comets	-
75 - 2023-10-23	418	Monsters	-	Comets	-
79 - 2023-10-27	429	Comets	-	Phantoms	-
81 - 2023-10-29	440	Bruins	-	Comets	-
82 - 2023-10-30	454	Americans	-	Comets	-
88 - 2023-11-05	477	Rocket	-	Comets	-
90 - 2023-11-07	504	Rocket	-	Comets	-
93 - 2023-11-10	513	Comets	-	Rocket	-
95 - 2023-11-12	520	Monsters	-	Comets	-
96 - 2023-11-13	532	Thunderbirds	-	Comets	-
98 - 2023-11-15	548	Comets	-	Crunch	-
100 - 2023-11-17	557	Senators	-	Comets	-
102 - 2023-11-19	567	Americans	-	Comets	-
103 - 2023-11-20	579	Comets	-	Crunch	-
107 - 2023-11-24	600	Comets	-	Rocket	-
109 - 2023-11-26	614	Comets	-	Americans	-
110 - 2023-11-27	626	Crunch	-	Comets	-
114 - 2023-12-01	646	Comets	-	Rocket	-
116 - 2023-12-03	657	Marlies	-	Comets	-
117 - 2023-12-04	670	Marlies	-	Comets	-
123 - 2023-12-10	687	Comets	-	Senators	-
124 - 2023-12-11	701	Comets	-	Senators	-
128 - 2023-12-15	719	Americans	-	Comets	-
131 - 2023-12-18	738	Senators	-	Comets	-
132 - 2023-12-19	749	Comets	-	Americans	-
137 - 2023-12-24	771	Crunch	-	Comets	-
139 - 2023-12-26	801	Comets	-	Crunch	-
142 - 2023-12-29	809	Comets	-	Senators	-
144 - 2023-12-31	819	Phantoms	-	Comets	-
145 - 2024-01-01	833	Comets	-	Bears	-
151 - 2024-01-07	859	Marlies	-	Comets	-
152 - 2024-01-08	875	Senators	-	Comets	-
153 - 2024-01-09	888	Comets	-	Americans	-
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2024-01-12	898	Comets	-	Senators	-
158 - 2024-01-14	906	Bears	-	Comets	-
159 - 2024-01-15	917	Comets	-	Wolfpack	-
165 - 2024-01-21	952	Islanders	-	Comets	-
166 - 2024-01-22	963	Comets	-	Penguins	-
167 - 2024-01-23	977	Comets	-	Americans	-
170 - 2024-01-26	988	Rocket	-	Comets	-
172 - 2024-01-28	999	Bruins	-	Comets	-
173 - 2024-01-29	1009	Thunderbirds	-	Comets	-
176 - 2024-02-01	1022	Comets	-	Islanders	-
180 - 2024-02-05	1047	Comets	-	Marlies	-
181 - 2024-02-06	1064	Comets	-	Marlies	-
186 - 2024-02-11	1080	Comets	-	Bruins	-
187 - 2024-02-12	1095	Comets	-	Bruins	-
193 - 2024-02-18	1120	Crunch	-	Comets	-
194 - 2024-02-19	1133	Comets	-	Crunch	-
195 - 2024-02-20	1145	Americans	-	Comets	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	13,450	6,675
Attendance PCT	96.07%	95.36%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
29	2875 - 95.83%	71,767$	502,370$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
307,339$	128,500$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	35,529$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,081,247$	142	5,787$	821,754$

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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	49	16	0	5	3	5	4	298	137	161	41	25	8	0	0	3	3	2	149	55	94	41	24	8	0	5	0	2	2	149	82	67	125	298	532	830	0	18	0	115	87	86	2331	0	819	732	764	1645	469	1318	1816	500	67	13.40%	580	68	88.28%	6	1588	2574	61.69%	1352	2313	58.45%	688	1159	59.36%	2321	1686	1684	561	974	518
12	82	49	16	0	5	3	5	4	298	137	161	41	25	8	0	0	3	3	2	149	55	94	41	24	8	0	5	0	2	2	149	82	67	125	298	532	830	0	18	0	115	87	86	2331	0	819	732	764	1645	469	1318	1816	500	67	13.40%	580	68	88.28%	6	1588	2574	61.69%	1352	2313	58.45%	688	1159	59.36%	2321	1686	1684	561	974	518
13	76	47	16	0	4	1	6	2	249	114	135	38	21	10	0	3	1	2	1	119	61	58	38	26	6	0	1	0	4	1	130	53	77	117	249	431	680	0	13	0	99	68	72	2028	0	701	641	666	1543	431	1153	1434	445	76	17.08%	473	53	88.79%	1	1478	2362	62.57%	1297	2117	61.27%	644	1018	63.26%	2129	1531	1573	526	907	489
13	76	24	39	0	4	3	3	3	204	244	-40	38	14	16	0	2	2	1	3	102	113	-11	38	10	23	0	2	1	2	0	102	131	-29	68	204	348	552	0	4	0	83	64	50	2049	0	658	676	691	1913	563	1055	1644	464	63	13.58%	433	78	81.99%	5	1168	2383	49.01%	1069	2101	50.88%	563	1113	50.58%	1875	1321	1829	548	897	444
13	76	47	16	0	4	1	6	2	249	114	135	38	21	10	0	3	1	2	1	119	61	58	38	26	6	0	1	0	4	1	130	53	77	117	249	431	680	0	13	0	99	68	72	2028	0	701	641	666	1543	431	1153	1434	445	76	17.08%	473	53	88.79%	1	1478	2362	62.57%	1297	2117	61.27%	644	1018	63.26%	2129	1531	1573	526	907	489
13	76	24	39	0	4	3	3	3	204	244	-40	38	14	16	0	2	2	1	3	102	113	-11	38	10	23	0	2	1	2	0	102	131	-29	68	204	348	552	0	4	0	83	64	50	2049	0	658	676	691	1913	563	1055	1644	464	63	13.58%	433	78	81.99%	5	1168	2383	49.01%	1069	2101	50.88%	563	1113	50.58%	1875	1321	1829	548	897	444
14	76	34	23	0	1	3	12	3	190	132	58	38	18	11	0	1	0	6	2	101	64	37	38	16	12	0	0	3	6	1	89	68	21	100	190	326	516	0	13	0	69	51	57	1881	0	609	611	623	1696	507	1087	1348	356	53	14.89%	412	45	89.08%	2	1380	2357	58.55%	1251	2198	56.92%	591	999	59.16%	2035	1451	1686	531	923	481
14	76	23	45	0	2	2	1	3	186	234	-48	38	15	22	0	0	0	0	1	93	111	-18	38	8	23	0	2	2	1	2	93	123	-30	57	186	339	525	0	8	0	68	58	57	1971	0	586	661	703	1918	538	946	1395	341	51	14.96%	401	75	81.30%	2	1255	2322	54.05%	1082	2142	50.51%	601	1110	54.14%	1913	1360	1761	534	915	459
14	76	34	23	0	1	3	12	3	190	132	58	38	18	11	0	1	0	6	2	101	64	37	38	16	12	0	0	3	6	1	89	68	21	100	190	326	516	0	13	0	69	51	57	1881	0	609	611	623	1696	507	1087	1348	356	53	14.89%	412	45	89.08%	2	1380	2357	58.55%	1251	2198	56.92%	591	999	59.16%	2035	1451	1686	531	923	481
14	76	23	45	0	2	2	1	3	186	234	-48	38	15	22	0	0	0	0	1	93	111	-18	38	8	23	0	2	2	1	2	93	123	-30	57	186	339	525	0	8	0	68	58	57	1971	0	586	661	703	1918	538	946	1395	341	51	14.96%	401	75	81.30%	2	1255	2322	54.05%	1082	2142	50.51%	601	1110	54.14%	1913	1360	1761	534	915	459
15	82	48	22	0	1	3	5	3	280	150	130	41	25	11	0	1	0	4	0	135	70	65	41	23	11	0	0	3	1	3	145	80	65	114	280	497	777	1	16	0	107	81	86	2539	0	844	850	825	1743	501	1106	1474	444	68	15.32%	455	50	89.01%	4	1692	2739	61.77%	1377	2372	58.05%	708	1135	62.38%	2335	1710	1678	562	957	511
15	82	45	20	0	2	4	5	6	231	180	51	41	23	9	0	1	3	2	3	115	90	25	41	22	11	0	1	1	3	3	116	90	26	114	231	422	653	1	15	0	72	82	70	2244	0	747	718	761	1930	569	1001	1529	420	73	17.38%	427	57	86.65%	2	1547	2566	60.29%	1334	2401	55.56%	673	1134	59.35%	2195	1567	1804	571	985	519
15	82	48	22	0	1	3	5	3	280	150	130	41	25	11	0	1	0	4	0	135	70	65	41	23	11	0	0	3	1	3	145	80	65	114	280	497	777	1	16	0	107	81	86	2539	0	844	850	825	1743	501	1106	1474	444	68	15.32%	455	50	89.01%	4	1692	2739	61.77%	1377	2372	58.05%	708	1135	62.38%	2335	1710	1678	562	957	511
15	82	45	20	0	2	4	5	6	231	180	51	41	23	9	0	1	3	2	3	115	90	25	41	22	11	0	1	1	3	3	116	90	26	114	231	422	653	1	15	0	72	82	70	2244	0	747	718	761	1930	569	1001	1529	420	73	17.38%	427	57	86.65%	2	1547	2566	60.29%	1334	2401	55.56%	673	1134	59.35%	2195	1567	1804	571	985	519
16	82	55	18	0	2	3	0	4	302	166	136	41	27	8	0	1	2	0	3	150	81	69	41	28	10	0	1	1	0	1	152	85	67	121	302	553	855	0	8	0	104	114	82	2445	0	736	807	884	1805	510	972	1502	461	94	20.39%	412	53	87.14%	1	1477	2604	56.72%	1149	2345	49.00%	650	1186	54.81%	2296	1719	1733	532	918	484
16	82	42	28	0	2	5	3	2	275	195	80	41	22	16	0	0	2	1	0	132	93	39	41	20	12	0	2	3	2	2	143	102	41	101	275	493	768	1	14	0	97	95	78	2455	0	818	807	811	1863	505	877	1402	480	79	16.46%	376	53	85.90%	3	1616	2719	59.43%	1298	2162	60.04%	712	1210	58.84%	2259	1664	1749	545	946	498
16	82	55	18	0	2	3	0	4	302	166	136	41	27	8	0	1	2	0	3	150	81	69	41	28	10	0	1	1	0	1	152	85	67	121	302	553	855	0	8	0	104	114	82	2445	0	736	807	884	1805	510	972	1502	461	94	20.39%	412	53	87.14%	1	1477	2604	56.72%	1149	2345	49.00%	650	1186	54.81%	2296	1719	1733	532	918	484
16	82	42	28	0	2	5	3	2	275	195	80	41	22	16	0	0	2	1	0	132	93	39	41	20	12	0	2	3	2	2	143	102	41	101	275	493	768	1	14	0	97	95	78	2455	0	818	807	811	1863	505	877	1402	480	79	16.46%	376	53	85.90%	3	1616	2719	59.43%	1298	2162	60.04%	712	1210	58.84%	2259	1664	1749	545	946	498
17	72	39	24	0	1	1	5	2	251	149	102	36	20	12	0	1	1	1	1	125	74	51	36	19	12	0	0	0	4	1	126	75	51	93	251	451	702	0	10	0	86	84	75	2267	0	698	750	800	1630	424	794	1308	369	62	16.80%	336	54	83.93%	3	1321	2225	59.37%	1063	2000	53.15%	566	1020	55.49%	2058	1537	1484	454	813	438
17	72	34	24	0	2	4	6	2	229	162	67	36	15	11	0	2	3	4	1	112	80	32	36	19	13	0	0	1	2	1	117	82	35	90	229	418	647	0	10	0	86	73	62	1985	0	654	642	667	1574	473	780	1258	360	70	19.44%	338	46	86.39%	8	1383	2214	62.47%	1074	1824	58.88%	635	1033	61.47%	2061	1519	1451	466	853	465
17	72	39	24	0	1	1	5	2	251	149	102	36	20	12	0	1	1	1	1	125	74	51	36	19	12	0	0	0	4	1	126	75	51	93	251	451	702	0	10	0	86	84	75	2267	0	698	750	800	1630	424	794	1308	369	62	16.80%	336	54	83.93%	3	1321	2225	59.37%	1063	2000	53.15%	566	1020	55.49%	2058	1537	1484	454	813	438
17	72	34	24	0	2	4	6	2	229	162	67	36	15	11	0	2	3	4	1	112	80	32	36	19	13	0	0	1	2	1	117	82	35	90	229	418	647	0	10	0	86	73	62	1985	0	654	642	667	1574	473	780	1258	360	70	19.44%	338	46	86.39%	8	1383	2214	62.47%	1074	1824	58.88%	635	1033	61.47%	2061	1519	1451	466	853	465
18	16	10	3	0	2	1	0	0	60	28	32	7	4	0	0	2	1	0	0	31	14	17	9	6	3	0	0	0	0	0	29	14	15	25	60	109	169	1	4	29	17	12	2	484	189	156	135	4	332	95	200	308	78	12	15.38%	84	10	88.10%	0	296	519	57.03%	237	435	54.48%	138	229	60.26%	453	333	327	102	182	99
Total Regular Season	1732	890	553	0	54	65	102	68	5450	3754	1696	865	454	268	0	26	35	48	34	2697	1798	899	867	436	285	0	28	30	54	34	2753	1956	797	2225	5450	9729	15179	7	262	29	1989	1726	1552	48874	189	15896	15925	16394	38852	11075	22378	32528	9358	1524	16.29%	9370	1274	86.40%	74	32106	54649	58.75%	26929	48385	55.66%	14200	24463	58.05%	47416	34472	37202	11773	20371	10725
Playoff
11	12	7	5	0	0	0	0	0	33	26	7	7	4	3	0	0	0	0	0	18	13	5	5	3	2	0	0	0	0	0	15	13	2	14	33	61	94	0	1	0	13	12	7	283	0	76	90	96	308	68	262	278	99	15	15.15%	97	10	89.69%	1	185	391	47.31%	213	410	51.95%	100	183	54.64%	302	205	299	96	151	75
11	12	7	5	0	0	0	0	0	33	26	7	7	4	3	0	0	0	0	0	18	13	5	5	3	2	0	0	0	0	0	15	13	2	14	33	61	94	0	1	0	13	12	7	283	0	76	90	96	308	68	262	278	99	15	15.15%	97	10	89.69%	1	185	391	47.31%	213	410	51.95%	100	183	54.64%	302	205	299	96	151	75
12	15	10	5	0	0	0	0	0	34	24	10	8	6	2	0	0	0	0	0	19	12	7	7	4	3	0	0	0	0	0	15	12	3	20	34	63	97	0	3	0	12	6	12	368	0	94	116	133	279	84	281	351	121	10	8.26%	122	11	90.98%	3	268	540	49.63%	231	482	47.93%	83	208	39.90%	406	276	375	128	203	101
12	15	10	5	0	0	0	0	0	34	24	10	8	6	2	0	0	0	0	0	19	12	7	7	4	3	0	0	0	0	0	15	12	3	20	34	63	97	0	3	0	12	6	12	368	0	94	116	133	279	84	281	351	121	10	8.26%	122	11	90.98%	3	268	540	49.63%	231	482	47.93%	83	208	39.90%	406	276	375	128	203	101
13	11	6	5	0	0	0	0	0	25	26	-1	6	4	2	0	0	0	0	0	16	13	3	5	2	3	0	0	0	0	0	9	13	-4	12	25	42	67	0	0	0	10	2	12	254	0	82	78	89	223	58	176	230	84	10	11.90%	77	10	87.01%	0	209	368	56.79%	191	335	57.01%	84	166	50.60%	282	192	255	86	140	69
13	11	6	5	0	0	0	0	0	25	26	-1	6	4	2	0	0	0	0	0	16	13	3	5	2	3	0	0	0	0	0	9	13	-4	12	25	42	67	0	0	0	10	2	12	254	0	82	78	89	223	58	176	230	84	10	11.90%	77	10	87.01%	0	209	368	56.79%	191	335	57.01%	84	166	50.60%	282	192	255	86	140	69
14	23	16	7	0	0	0	0	0	51	32	19	11	7	4	0	0	0	0	0	22	19	3	12	9	3	0	0	0	0	0	29	13	16	32	51	89	140	0	6	0	15	15	14	698	0	150	176	189	622	166	380	503	147	14	9.52%	169	13	92.31%	0	530	977	54.25%	454	891	50.95%	186	362	51.38%	749	524	661	210	356	183
14	23	16	7	0	0	0	0	0	51	32	19	11	7	4	0	0	0	0	0	22	19	3	12	9	3	0	0	0	0	0	29	13	16	32	51	89	140	0	6	0	15	15	14	698	0	150	176	189	622	166	380	503	147	14	9.52%	169	13	92.31%	0	530	977	54.25%	454	891	50.95%	186	362	51.38%	749	524	661	210	356	183
15	11	4	7	0	0	0	0	0	22	31	-9	6	2	4	0	0	0	0	0	11	18	-7	5	2	3	0	0	0	0	0	11	13	-2	8	22	42	64	0	1	0	7	10	3	284	0	80	90	103	256	59	151	217	51	6	11.76%	66	10	84.85%	0	219	353	62.04%	215	330	65.15%	91	155	58.71%	294	208	250	79	133	68
15	23	13	10	0	0	0	0	0	50	46	4	10	5	5	0	0	0	0	0	22	24	-2	13	8	5	0	0	0	0	0	28	22	6	26	50	94	144	0	2	0	23	16	8	515	0	178	158	156	521	143	352	451	131	22	16.79%	145	23	84.14%	2	364	725	50.21%	354	717	49.37%	182	334	54.49%	572	383	559	177	297	150
15	11	4	7	0	0	0	0	0	22	31	-9	6	2	4	0	0	0	0	0	11	18	-7	5	2	3	0	0	0	0	0	11	13	-2	8	22	42	64	0	1	0	7	10	3	284	0	80	90	103	256	59	151	217	51	6	11.76%	66	10	84.85%	0	219	353	62.04%	215	330	65.15%	91	155	58.71%	294	208	250	79	133	68
15	23	13	10	0	0	0	0	0	50	46	4	10	5	5	0	0	0	0	0	22	24	-2	13	8	5	0	0	0	0	0	28	22	6	26	50	94	144	0	2	0	23	16	8	515	0	178	158	156	521	143	352	451	131	22	16.79%	145	23	84.14%	2	364	725	50.21%	354	717	49.37%	182	334	54.49%	572	383	559	177	297	150
Total Playoff	190	112	78	0	0	0	0	0	430	370	60	96	56	40	0	0	0	0	0	216	198	18	94	56	38	0	0	0	0	0	214	172	42	224	430	782	1212	0	26	0	160	122	112	4804	0	1320	1416	1532	4418	1156	3204	4060	1266	154	12.16%	1352	154	88.61%	12	3550	6708	52.92%	3316	6330	52.39%	1452	2816	51.56%	5215	3580	4806	1557	2563	1297