Light The Lamp Hockey League - Today's Games Farm

GP	W	L	OT	Pts
54	34	14	6	74

Home
Roster
Schedule
Player Stats
Team Stats
Lines
Salary
Finance

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Devin Stanton (R)	29	RW	100.00	74	50	81	82	72	74	55	87	55	91	60	99	49	37	28	78	50	77	21	900,000$/1yrs
Giff Bradbury	21	LW	100.00	58	69	61	72	67	77	98	88	58	72	60	97	67	96	68	24	50	76	31	1,328,021$/2yrs
Pierre-Anthony Comrie (C)	54	RW	100.00	66	36	78	62	68	83	70	88	69	71	63	99	87	93	90	29	50	75	30	1,424,054$/2yrs
Quincy Dagenais	76	C	99.00	61	59	82	89	65	71	90	77	78	79	50	77	46	92	66	17	50	75	31	905,325$/1yrs
Mitchell Megna (R) (A)	91	C	100.00	64	75	79	75	77	73	77	67	87	80	72	77	76	63	81	79	50	75	18	1,000,000$/3yrs
Wendell Sarrazin	52	LW	100.00	66	62	60	92	93	78	73	75	80	53	73	69	47	50	56	29	50	74	29	1,444,444$/1yrs
Alexsey Omelkov (R)	72	LW	100.00	76	64	63	76	70	90	85	77	68	59	71	84	54	58	65	74	50	74	20	900,000$/3yrs
Shawn Ridge (R)	14	RW	100.00	52	57	84	93	66	82	62	83	66	76	52	83	33	31	42	67	50	74	21	800,000$/3yrs
Alex Kessell	24	RW	100.00	53	57	57	95	76	93	55	91	67	55	56	97	36	53	40	57	50	73	25	1,750,000$/2yrs
Corey Shugart (R)	34	LW	100.00	78	59	53	92	59	70	96	85	56	58	84	60	68	67	68	68	50	73	21	800,000$/3yrs
Veli Torenius (R)	80	C	100.00	37	28	86	59	69	73	65	77	93	85	85	52	38	52	57	76	50	72	21	1,000,000$/3yrs
Helmar Andren (R)	30	LW	100.00	86	63	64	75	35	81	58	89	54	85	74	59	29	75	57	51	50	70	24	1,344,444$/2yrs
Olli Colley (R)	11	D	100.00	46	53	78	81	82	87	76	73	72	73	84	66	51	62	66	71	50	76	20	900,000$/3yrs
Ernests Vizmanis (R)	84	D	100.00	82	63	83	78	79	69	72	65	79	73	68	82	65	65	60	83	50	76	18	1,000,000$/3yrs
Simon-Pierre Dalgarno (R)	75	D	100.00	72	28	91	82	88	64	60	87	25	74	69	74	28	66	72	59	50	73	23	800,000$/1yrs
Rudolf Markelj (R)	49	D	100.00	70	55	76	63	59	84	71	80	70	76	66	82	58	61	73	83	50	71	22	800,000$/2yrs
Axel Moreau (R) (A)	35	D	100.00	68	53	94	61	53	99	59	91	25	65	74	66	94	41	85	79	50	71	21	800,000$/3yrs
Jeny Bosiacki (R)	2	D	100.00	50	36	67	91	58	68	95	63	25	75	51	74	76	74	41	75	50	69	21	800,000$/3yrs
Scratches
Jessy Soucy	74	LW	100.00	40	52	99	86	47	93	74	74	71	86	37	81	95	83	51	44	50	73	28	1,644,444$/1yrs
Gennady Oginsky	39	RW	100.00	76	50	83	90	59	74	88	83	58	69	45	75	89	76	82	0	50	73	37	1,250,444$/1yrs
Ballard Winston	57	LW	100.00	85	63	76	93	78	63	67	79	48	56	58	96	37	40	51	54	50	72	26	1,993,444$/1yrs
Karl Lundkvist	23	C	100.00	46	40	95	86	49	53	93	84	86	58	36	92	84	34	55	24	50	69	32	850,444$/1yrs
Mikhail Khanov	33	C	100.00	48	59	77	76	33	82	49	88	77	87	63	47	36	72	59	36	50	67	30	724,533$/1yrs
Daine Finley	10	RW	100.00	39	57	60	85	35	53	62	91	55	35	75	88	59	85	66	53	50	62	25	724,010$/2yrs
Leland Matyas	22	D	100.00	90	56	74	84	64	86	64	81	25	92	74	71	78	40	67	0	50	79	37	1,999,999$/1yrs
Jarl Molo	85	D	100.00	36	52	84	90	82	89	83	60	25	56	51	99	65	41	76	21	50	75	32	1,884,444$/1yrs
Conrade Dole	56	D	100.00	31	65	73	85	80	68	59	80	25	86	75	73	80	45	77	0	50	74	39	1,999,999$/1yrs
Melker Lennartsson	77	D	100.00	42	37	87	84	67	84	73	68	25	73	60	99	35	65	53	38	50	73	27	1,499,677$/3yrs
Rashit Musayev (R)	68	D	100.00	55	49	54	95	55	92	51	88	25	61	35	77	61	90	49	59	50	66	24	1,071,968$/1yrs

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	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Juho-Matti Nykvist	9	100.00	55	84	57	94	85	71	88	88	97	60	90	74	83	70	50	78	23	800,000$/1yrs
Adrian Haslar	88	98.00	76	59	80	99	69	82	87	72	93	43	90	56	67	74	50	76	21	1,000,000$/2yrs
Scratches
Hans Fabricius	60	100.00	47	82	59	85	76	68	79	64	63	86	81	58	30	64	50	71	24	1,500,460$/1yrs

	Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
	Dave Gonzalez	65	79	83	74	86	76	39	USA	40	3	125,000$

General Manager
Tim Karutz

Player Stats

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	SHT	OSB	OSM	SHT%	SB	MPG	PPT	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	EG	HT	P/GP	PSG	PSS	GSAVG
1	Helmar Andren	Comets (NOR)	LW	54	24	32	56	4	22	10	153	181	62	98	13.26%	14	17.39	0.00	4	8	12	0	0	0	4	4	2	50.00%	0	2	1.04	0	0	1.06
2	Veli Torenius	Comets (NOR)	C	50	18	28	46	15	0	0	11	117	44	58	15.38%	17	17.16	0.00	1	6	7	0	0	0	1	8	0	55.66%	0	0	0.92	0	0	0.97
3	Corey Shugart	Comets (NOR)	LW	54	21	18	39	8	39	25	169	184	43	81	11.41%	13	16.69	0.00	4	4	8	0	0	0	0	1	0	47.27%	0	0	0.72	0	0	0.81
4	Pierre-Anthony Comrie	Comets (NOR)	RW	54	15	23	38	11	12	10	70	142	56	98	10.56%	34	16.00	0.00	0	0	0	0	0	0	37	6	0	59.46%	0	0	0.70	2	5	0.82
5	Devin Stanton	Comets (NOR)	RW	46	12	24	36	-2	24	20	88	123	28	55	9.76%	17	17.31	0.00	5	4	9	1	0	1	36	3	2	46.81%	0	1	0.78	0	0	0.70
6	Alexsey Omelkov	Comets (NOR)	LW	54	14	18	32	17	84	50	106	108	36	67	12.96%	27	16.98	0.00	0	1	1	0	0	0	6	2	0	42.11%	0	0	0.59	0	0	0.48
7	Mitchell Megna	Comets (NOR)	C	54	11	20	31	11	87	75	62	79	27	46	13.92%	22	17.22	0.00	2	4	6	0	1	1	41	3	2	54.55%	0	0	0.57	0	5	0.34
8	Shawn Ridge	Comets (NOR)	RW	37	13	12	25	8	32	20	22	109	27	72	11.93%	18	15.88	0.00	0	0	0	0	0	0	28	1	0	28.21%	0	0	0.68	0	0	0.69
9	Olli Colley	Comets (NOR)	D	54	3	19	22	-4	47	45	31	61	17	34	4.92%	52	20.78	0.00	2	8	10	0	0	0	0	0	0	0.00%	0	0	0.41	0	0	0.23
10	Quincy Dagenais	Comets (NOR)	C	54	10	10	20	1	25	25	39	80	21	49	12.50%	10	10.75	0.00	0	0	0	0	0	0	20	1	0	52.45%	0	0	0.37	0	0	0.33
11	Rudolf Markelj	Comets (NOR)	D	54	2	18	20	10	2	0	61	64	17	29	3.13%	56	21.21	0.00	2	6	8	0	1	1	42	0	0	0.00%	0	0	0.37	0	0	0.46
12	Axel Moreau	Comets (NOR)	D	54	1	18	19	21	40	40	52	67	30	25	1.49%	42	18.21	0.00	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.35	2	5	0.39
13	Simon-Pierre Dalgarno	Comets (NOR)	D	54	1	16	17	7	7	5	64	77	24	38	1.30%	60	20.69	0.00	0	0	0	0	0	0	7	0	1	0.00%	0	0	0.31	0	0	0.42
14	Alex Kessell	Comets (NOR)	RW	48	7	9	16	4	21	15	33	86	19	60	8.14%	12	10.05	0.00	1	1	2	0	0	0	13	0	1	63.64%	0	0	0.33	0	0	0.37
15	Jeny Bosiacki	Comets (NOR)	D	54	2	14	16	22	11	5	49	52	16	25	3.85%	50	18.98	0.00	0	1	1	0	0	0	0	0	0	0.00%	0	0	0.30	0	1	0.43
16	Ernests Vizmanis	Comets (NOR)	D	54	0	11	11	1	35	35	92	43	21	21	0.00%	55	19.07	0.00	0	0	0	0	0	0	48	0	0	0.00%	0	0	0.20	0	0	0.16
17	Jessy Soucy	Comets (NOR)	LW	14	3	6	9	6	0	0	1	24	7	11	12.50%	8	16.66	0.00	0	0	0	0	0	0	2	1	0	42.86%	0	0	0.64	0	0	0.76
18	Giff Bradbury	Comets (NOR)	LW	54	3	5	8	2	13	5	48	59	15	36	5.08%	15	10.34	0.00	0	0	0	0	0	0	44	0	0	46.15%	0	0	0.15	0	0	0.19
19	Wendell Sarrazin	Comets (NOR)	LW	16	1	2	3	0	53	35	27	23	5	11	4.35%	9	15.15	0.00	0	0	0	0	0	0	1	0	0	49.66%	0	0	0.19	0	0	-0.29
20	Daine Finley	Comets (NOR)	RW	8	0	0	0	5	4	0	4	10	0	8	0.00%	1	11.56	0.00	0	0	0	0	0	0	0	0	0	50.00%	0	0	0.00	0	0	0.26
21	Karl Lundkvist	Comets (NOR)	C	8	0	0	0	-1	0	0	2	5	3	3	0.00%	2	8.56	0.00	0	0	0	0	0	0	0	0	0	47.37%	0	0	0.00	0	0	0.01
22	Gennady Oginsky	Comets (NOR)	RW	3	0	0	0	-2	0	0	2	3	0	1	0.00%	0	9.65	0.00	0	0	0	0	0	0	0	0	0	50.00%	0	0	0.00	0	0	-0.14
Team Total or Average				932	161	303	464	144	558	420	1186	1697	518	926	9.49%	534	16.63	21	43	64	712	1	2	3	337	30	8	53.07%	2463	411	385	0	3	0.60	4	16

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
1	Adrian Haslar	Comets (NOR)	29	19	6	2	0.923	2.43	1652	2	0	67	868	429	1	1	0.667	3	28	26	3	3	4
2	Juho-Matti Nykvist	Comets (NOR)	28	15	8	4	0.909	2.89	1622	0	0	78	858	406	1	0	0.615	13	26	28	3	0	2
Team Total or Average		57	34	14	6	0.916	2.66	3274	2	0	145	1726	835	2	1	0.625	16	54	54	6	3	6

Salary

Player Name	POS	Age	Cap Hit	6-7	7	8
Adrian Haslar	G	21	1,000,000$	1,000,000$	1,000,000$
Alex Kessell	RW	25	1,750,000$	1,750,000$	1,750,000$
Alexsey Omelkov	LW	20	900,000$	900,000$	900,000$	900,000$
Axel Moreau	D	21	800,000$	800,000$	800,000$	800,000$
Ballard Winston	LW	26	1,993,444$	1,993,444$
Conrade Dole	D	39	1,999,999$	1,999,999$
Corey Shugart	LW	21	800,000$	800,000$	800,000$	800,000$
Daine Finley	RW	25	724,010$	724,010$	724,010$
Devin Stanton	RW	21	900,000$	900,000$
Ernests Vizmanis	D	18	1,000,000$	1,000,000$	1,000,000$	1,000,000$
Gennady Oginsky	RW	37	1,250,444$	1,250,444$
Giff Bradbury	LW	31	1,328,021$	1,328,021$	1,328,021$
Hans Fabricius	G	24	1,500,460$	1,500,460$
Helmar Andren	LW	24	1,344,444$	1,344,444$	1,344,444$
Jarl Molo	D	32	1,884,444$	1,884,444$
Jeny Bosiacki	D	21	800,000$	800,000$	800,000$	800,000$
Jessy Soucy	LW	28	1,644,444$	1,644,444$
Juho-Matti Nykvist	G	23	800,000$	800,000$
Karl Lundkvist	C	32	850,444$	850,444$
Leland Matyas	D	37	1,999,999$	1,999,999$
Melker Lennartsson	D	27	1,499,677$	1,499,677$	1,499,677$	1,499,677$
Mikhail Khanov	C	30	724,533$	724,533$
Mitchell Megna	C	18	1,000,000$	1,000,000$	1,000,000$	1,000,000$
Olli Colley	D	20	900,000$	900,000$	900,000$	900,000$
Pierre-Anthony Comrie	RW	30	1,424,054$	1,424,054$	1,424,054$
Quincy Dagenais	C	31	905,325$	905,325$
Rashit Musayev	D	24	1,071,968$	1,071,968$
Rudolf Markelj	D	22	800,000$	800,000$	800,000$
Shawn Ridge	RW	21	800,000$	800,000$	800,000$	800,000$
Simon-Pierre Dalgarno	D	23	800,000$	800,000$
Veli Torenius	C	21	1,000,000$	1,000,000$	1,000,000$	1,000,000$
Wendell Sarrazin	LW	29	1,444,444$	1,444,444$

Lines

5v5 Lines

Omelkov

GP: 54 | G: 14 | A: 18 | PTS: 32

Torenius

GP: 50 | G: 18 | A: 28 | PTS: 46

Stanton

GP: 46 | G: 12 | A: 24 | PTS: 36

Andren

GP: 54 | G: 24 | A: 32 | PTS: 56

Megna

GP: 54 | G: 11 | A: 20 | PTS: 31

Ridge

GP: 37 | G: 13 | A: 12 | PTS: 25

Shugart

GP: 54 | G: 21 | A: 18 | PTS: 39

Dagenais

GP: 54 | G: 10 | A: 10 | PTS: 20

Comrie

GP: 54 | G: 15 | A: 23 | PTS: 38

Bradbury

GP: 54 | G: 3 | A: 5 | PTS: 8

Sarrazin

GP: 16 | G: 1 | A: 2 | PTS: 3

Kessell

GP: 48 | G: 7 | A: 9 | PTS: 16

Colley

GP: 54 | G: 3 | A: 19 | PTS: 22

Dalgarno

GP: 54 | G: 1 | A: 16 | PTS: 17

Markelj

GP: 54 | G: 2 | A: 18 | PTS: 20

Vizmanis

GP: 54 | G: 0 | A: 11 | PTS: 11

Bosiacki

GP: 54 | G: 2 | A: 14 | PTS: 16

Moreau

GP: 54 | G: 1 | A: 18 | PTS: 19

Power Play Lines

Andren

GP: 54 | G: 24 | A: 32 | PTS: 56

Torenius

GP: 50 | G: 18 | A: 28 | PTS: 46

Stanton

GP: 46 | G: 12 | A: 24 | PTS: 36

Markelj

GP: 54 | G: 2 | A: 18 | PTS: 20

Colley

GP: 54 | G: 3 | A: 19 | PTS: 22

Shugart

GP: 54 | G: 21 | A: 18 | PTS: 39

Megna

GP: 54 | G: 11 | A: 20 | PTS: 31

Omelkov

GP: 54 | G: 14 | A: 18 | PTS: 32

Colley

GP: 54 | G: 3 | A: 19 | PTS: 22

Dalgarno

GP: 54 | G: 1 | A: 16 | PTS: 17

Goalies

Haslar

W: 19 | L: 6 | 0.923 SV%

Nykvist

W: 15 | L: 8 | 0.909 SV%

Team Stats

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

#	VS Team	GP	W	L	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	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	GF%	SH%	SV%	PDO	PDOBRK
1	Outlaws	2	1	0	0	0	0	1	8	7	1	3	0.750	8	11	19	0	46	75	61	6	76	596	632	584	33	70	28	26	39	3	0	0.00%	3	0	100.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	53.3%	10.5%	90.0%	100.5	FUN
2	Jacks	2	0	1	0	0	1	0	8	9	-1	2	0.500	8	12	20	0	46	75	61	6	59	596	632	584	33	67	18	39	53	9	4	44.44%	2	2	0.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	36.4%	13.6%	86.6%	100.1	FUN
3	Rampage	3	1	2	0	0	0	0	8	11	-3	2	0.333	8	13	21	0	46	75	61	6	105	596	632	584	33	92	36	54	68	6	1	16.67%	2	0	100.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	38.9%	7.6%	88.0%	95.7	Unlucky
4	Kings	1	0	1	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	46	75	61	6	36	596	632	584	33	29	8	20	22	2	1	50.00%	0	0	0.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	28.6%	8.3%	82.8%	91.1	Unlucky
5	Wolverines	2	1	0	0	0	0	1	7	5	2	3	0.750	7	12	19	0	46	75	61	6	74	596	632	584	33	60	17	48	44	4	2	50.00%	4	1	75.00%	1	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	55.6%	9.5%	91.7%	101.1	LUCKY
6	Crusaders	6	4	1	0	0	1	0	22	16	6	10	0.833	22	37	59	0	46	75	61	6	221	596	632	584	33	191	83	37	134	5	2	40.00%	6	4	33.33%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	62.5%	10.0%	91.6%	101.6	LUCKY
7	Bulldogs	4	2	1	0	0	0	1	15	9	6	5	0.625	15	28	43	0	46	75	61	6	140	596	632	584	33	142	44	72	79	8	3	37.50%	1	0	100.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	57.1%	10.7%	93.7%	104.4	LUCKY
8	Rock	3	3	0	0	0	0	0	13	8	5	6	1.000	13	24	37	0	46	75	61	6	98	596	632	584	33	88	23	37	65	4	0	0.00%	6	1	83.33%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	65.0%	13.3%	90.9%	104.2	FUN
9	Auroras	1	1	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	46	75	61	6	44	596	632	584	33	28	13	0	30	3	0	0.00%	0	0	0.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	75.0%	6.8%	96.4%	103.2	DULL
10	Jazz	1	1	0	0	0	0	0	5	3	2	2	1.000	5	8	13	0	46	75	61	6	37	596	632	584	33	41	9	7	14	1	1	100.00%	1	0	100.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	57.1%	13.5%	92.7%	106.2	LUCKY
11	Wolfpack	2	0	2	0	0	0	0	3	6	-3	0	0.000	3	4	7	0	46	75	61	6	65	596	632	584	33	73	25	19	47	3	0	0.00%	2	1	50.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	37.5%	4.6%	91.8%	96.4	DULL
12	Vipers	1	1	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	46	75	61	6	34	596	632	584	33	27	7	7	24	1	0	0.00%	1	0	100.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	75.0%	8.8%	96.3%	105.1	DULL
13	Devils	1	1	0	0	0	0	0	4	3	1	2	1.000	4	8	12	0	46	75	61	6	32	596	632	584	33	42	13	12	15	3	2	66.67%	1	0	100.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	40.0%	12.5%	92.9%	105.4	LUCKY
14	Guppies	2	1	0	1	0	0	0	11	4	7	4	1.000	11	18	29	0	46	75	61	6	62	596	632	584	33	53	22	61	48	4	0	0.00%	3	0	100.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	73.3%	17.7%	92.5%	110.2	LUCKY
15	Schooners	5	4	1	0	0	0	0	20	14	6	8	0.800	20	34	54	0	46	75	61	6	179	596	632	584	33	159	46	68	113	13	6	46.15%	4	2	50.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	53.8%	11.2%	91.2%	102.4	LUCKY
16	Hydra	3	1	2	0	0	0	0	7	8	-1	2	0.333	7	13	20	1	46	75	61	6	107	596	632	584	33	81	22	31	58	10	1	10.00%	4	1	75.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	46.2%	6.5%	90.1%	96.7	Unlucky
17	Phantoms	2	0	2	0	0	0	0	2	6	-4	0	0.000	2	3	5	0	46	75	61	6	52	596	632	584	33	75	23	16	42	4	0	0.00%	3	0	100.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	25.0%	3.8%	92.0%	95.8	DULL
18	Spartans	6	5	0	0	1	0	0	18	10	8	11	0.917	18	28	46	0	46	75	61	6	190	596	632	584	33	189	53	35	152	9	0	0.00%	5	1	80.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	66.7%	9.5%	94.7%	104.2	LUCKY
19	Northmen	1	1	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	46	75	61	6	29	596	632	584	33	24	7	11	21	1	1	100.00%	3	0	100.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	60.0%	13.8%	91.7%	105.5	LUCKY
20	Yeti	1	0	0	0	1	0	0	5	6	-1	1	0.500	5	7	12	0	46	75	61	6	28	596	632	584	33	39	15	11	24	1	0	0.00%	3	2	33.33%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	55.6%	17.9%	84.6%	102.5	FUN
21	Wild Wings	2	1	0	0	1	0	0	8	7	1	3	0.750	8	15	23	0	46	75	61	6	72	596	632	584	33	67	22	11	37	4	2	50.00%	3	1	66.67%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	50.0%	11.1%	89.6%	100.7	FUN
22	Drillers	2	1	1	0	0	0	0	5	5	0	2	0.500	5	9	14	0	46	75	61	6	59	596	632	584	33	62	12	16	52	2	0	0.00%	3	1	66.67%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	55.6%	8.5%	91.9%	100.4	DULL
23	Swamp Puppies	1	0	0	1	0	0	0	4	3	1	2	1.000	4	6	10	0	46	75	61	6	31	596	632	584	33	28	15	12	25	2	0	0.00%	1	0	100.00%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	57.1%	12.9%	89.3%	102.2	FUN
	_Vs Division	14	13	2	0	1	1	0	55	43	12	29	1.036	55	93	148	0	46	75	61	6	500	596	632	584	33	456	166	127	308	23	10	43.48%	16	9	43.75%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	57.0%	11.0%	90.6%	101.6	FUN
	_Vs Conference	35	23	7	1	2	1	1	124	91	33	53	0.757	124	214	338	1	46	75	61	6	1209	596	632	584	33	1102	360	375	766	63	17	26.98%	36	10	72.22%	0	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	56.9%	10.3%	91.7%	102.0	LUCKY
	_Since Last GM Reset	54	30	14	2	3	2	3	186	149	37	74	0.685	186	314	500	1	46	75	61	6	1830	596	632	584	33	1727	561	650	1206	102	26	25.49%	61	17	72.13%	1	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	54.8%	10.2%	91.4%	101.5	LUCKY
	Total	54	30	14	2	3	2	3	186	149	37	74	0.685	186	314	500	1	46	75	61	6	1830	596	632	584	33	1727	561	650	1206	102	26	25.49%	61	17	72.13%	1	632	1158	54.58%	674	1164	57.90%	410	815	50.31%	1230	755	1114	456	932	482	54.8%	10.2%	91.4%	101.5	LUCKY

	Puck Time
Offensive Zone	22
Neutral Zone	17
Defensive Zone	20

	Puck Time
Offensive Zone Start	1158
Neutral Zone Start	815
Defensive Zone Start	1164

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	1716
Faceoffs Lost	1421

	Team Average Shots after	League Average Shots after
1st Period	11.0	9.57
2nd Period	22.7	20.31
3rd Period	33.6	30.68
Overtime	34.2	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.9	0.64
2nd Period	2.2	1.65
3rd Period	3.4	2.67
Overtime	3.5	2.83


Even Strenght Goal	158
PP Goal	26
PK Goal	1
Empty Net Goal	1

	Home	Away
Win	15	19
Lost	6	8
Overtime Lost	6	0


PP Attempt	102
PP Goal	26
PK Attempt	61
PK Goal Against	17

	Home
Shots For	33.9
Shots Against	32.0
Goals For	3.4
Goals Against	2.8
Hits	22.3
Shots Blocked	10.4
Pim	12.0

Schedule

Mon, Jun 15

Comets

Spartans

Boxscore

Tue, Jun 16

Comets

Rock

Boxscore

Fri, Jun 19

Wild Wings

Comets

Boxscore

Sat, Jun 20

Swamp Puppies

(OT)

Comets

Boxscore

Mon, Jun 22

Comets

Bulldogs

Boxscore

Wed, Jun 24

Schooners

Comets

Boxscore

Thu, Jun 25

Wolfpack

Comets

Boxscore

Sat, Jun 27

Hydra

Comets

Boxscore

Mon, Jun 29

Comets

Schooners

Boxscore

Wed, Jul 1

Crusaders

Comets

Boxscore

Thu, Jul 2

Yeti

(OT)

Comets

Boxscore

Sat, Jul 4

Comets

Rampage

Boxscore

Mon, Jul 6

Drillers

Comets

Boxscore

Tue, Jul 7

Comets

Bulldogs

Boxscore

Fri, Jul 10

Comets

Crusaders

Boxscore

Sat, Jul 11

Crusaders

Comets

Boxscore

Mon, Jul 13

Schooners

Comets

Boxscore

Tue, Jul 14

Comets

Wolverines

Boxscore

Thu, Jul 16

Bulldogs

(SO)

Comets

Boxscore

Sat, Jul 18

Bulldogs

Comets

Boxscore

Mon, Jul 20

Comets

Drillers

Boxscore

Wed, Jul 22

Comets

Rampage

Boxscore

Fri, Jul 24

Northmen

Comets

Boxscore

Sat, Jul 25

Spartans

(OT)

Comets

Boxscore

Mon, Jul 27

Comets

Spartans

Boxscore

Wed, Jul 29

Jazz

Comets

Boxscore

Fri, Jul 31

Hydra

Comets

Boxscore

Sat, Aug 1

Comets

(SO)

Crusaders

Boxscore

Mon, Aug 3

Comets

(OT)

Guppies

Boxscore

Wed, Aug 5

Comets

Hydra

Boxscore

Thu, Aug 6

Wild Wings

(OT)

Comets

Boxscore

Sat, Aug 8

Crusaders

Comets

Boxscore

Mon, Aug 10

Outlaws

(SO)

Comets

Boxscore

Tue, Aug 11

Comets

(SO)

Jacks

Boxscore

Thu, Aug 13

Phantoms

Comets

Boxscore

Sat, Aug 15

Spartans

Comets

Boxscore

Mon, Aug 17

Comets

Outlaws

Boxscore

Tue, Aug 18

Comets

Spartans

Boxscore

Thu, Aug 20

Guppies

Comets

Boxscore

Sat, Aug 22

Comets

Schooners

Boxscore

Mon, Aug 24

Comets

Spartans

Boxscore

Wed, Aug 26

Comets

Devils

Boxscore

Thu, Aug 27

Comets

Auroras

Boxscore

Sat, Aug 29

Comets

Rock

Boxscore

Mon, Aug 31

Rampage

Comets

Boxscore

Tue, Sep 1

Comets

Vipers

Boxscore

Thu, Sep 3

Schooners

Comets

Boxscore

Sat, Sep 5

Comets

Crusaders

Boxscore

Mon, Sep 7

Comets

Phantoms

Boxscore

Wed, Sep 9

Comets

Kings

Boxscore

Thu, Sep 10

Jacks

Comets

Boxscore

Sat, Sep 12

Rock

Comets

Boxscore

Mon, Sep 14

Wolverines

(SO)

Comets

Boxscore

Wed, Sep 16

Comets

Wolfpack

Boxscore

Thu, Sep 17

Comets

Stingers

Sat, Sep 19

Crusaders

Comets

Mon, Sep 21

Comets

Stingers

Wed, Sep 23

Comets

Schooners

Thu, Sep 24

Vipers

Comets

Sat, Sep 26

Comets

Northmen

Trade Deadline --- Trades can't be done after this day is simulated!

Mon, Sep 28

Devils

Comets

Wed, Sep 30

Comets

Jazz

Thu, Oct 1

Hornets

Comets

Sat, Oct 3

Comets

Jazz

Mon, Oct 5

Stingers

Comets

Wed, Oct 7

Comets

Schooners

Sat, Oct 10

Spartans

Comets

Mon, Oct 12

Comets

Swamp Puppies

Tue, Oct 13

Auroras

Comets

Fri, Oct 16

Spartans

Comets

Sat, Oct 17

Swamp Puppies

Comets

Mon, Oct 19

Comets

Spartans

Tue, Oct 20

Comets

Yeti

Fri, Oct 23

Kings

Comets

Sat, Oct 24

Schooners

Comets

Mon, Oct 26

Comets

Wild Wings

Wed, Oct 28

Crusaders

Comets

Sat, Oct 31

Schooners

Comets

Mon, Nov 2

Comets

Crusaders

Thu, Nov 5

Comets

Hornets

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,764,014$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Syracuse
	Capacity	5000
	Season Ticket Holders	25%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	3000	2000
Ticket Price	35$	15$	$	$	$
Attendance	77250	51444
Attendance PCT	95.37%	95.27%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
13	4766 - 95.33%	167,335$	4,518,035$	5000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,764,014$	3,764,014$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,466,502$	3,764,014$	2,386,583$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,175,350$	53	26,456$	1,402,168$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
1,402,168$	0$	0$	0$

Sponsors
TV Rights	Primary Sponsor	Secondary Sponsor	Secondary Sponsor

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Transactions

Injuries

Derrell Hults is out for 1 week because of a Left Foot Injury.

Team History

Game Center

Wolverines22-25-6, 50pts

43Final

Comets34-14-6, 74pts

13Final

Wolfpack33-20-1, 67pts

Comets34-14-6, 74pts

Thu, Sep 17

Stingers22-27-4, 48pts

Crusaders25-26-3, 53pts

Sat, Sep 19

Comets34-14-6, 74pts

TRANSACTIONS

Team Info


	Head Coach	Dave Gonzalez
	Division	Atlantic
	City	Syracuse
	Stadium Capacity	5,000

Comets Affiliation


	General Manager	Tim Karutz
	Head Coach	Anthoni Pears
	Stadium	Underground Station
	Capacity	18,000

Team Jerseys


Home	Away	Alternate

Team Leaders

GOALS Helmar Andren Comets	24 GOALS
POINTS Helmar Andren Comets	56 POINTS
WINS Adrian Haslar Comets	19 WINS
Expanded Player Leaderboard

Team Stats

Goals For 186 3.44 GFG	Goals Against 149 2.76 GAA
Power Play Percentage 25.5% 26 GF	Penalty Kill Percentage 72.1% 17 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain	Alternate Captain	Alternate Captain
Pierre-Anthony Comrie

Back to the Top

GM: Tim Karutz Season 4 GM of the year	League Rank:3rd	Arena: Syracuse Arena
Conference: Eastern Conference	Conference Rank:2nd	Capacity:5,000
Division: Atlantic	Division Rank:1st	Total Player Salaries:3,764,014$
Captain: Pierre-Anthony Comrie	Last 10: 5-4-0
Coach: Dave Gonzalez	Home: 14-6-6
All-Time Record: 201 W - 150 L - 49 OTL	Away: 16-8-0