Light The Lamp Hockey League - Today's Games Farm

GP	W	L	OT	Pts
30	23	5	2	48

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
Torrey Birdsell	0	C	100.00	77	66	76	86	93	96	53	94	92	68	62	67	70	82	34	12	50	78	33	1,700,000$/1yrs
Anton Lebed	0	RW	100.00	89	64	82	91	99	84	65	93	68	78	56	59	64	68	62	27	50	78	30	1,450,000$/2yrs
Abram Korolyuk	21	LW	100.00	49	67	66	93	82	79	91	93	52	78	46	84	39	52	63	23	50	77	31	1,380,000$/1yrs
Devon Guptill	55	C	100.00	50	41	64	99	82	70	97	97	85	52	61	78	65	52	53	27	50	76	31	1,470,000$/3yrs
Wendel Mackaness	81	RW	100.00	99	35	71	73	72	89	69	85	63	57	71	99	92	80	52	52	50	76	25	1,990,999$/1yrs
Erin Corderoy (R)	27	LW	100.00	31	47	73	84	99	90	99	90	70	57	36	80	47	58	45	72	50	75	22	800,000$/2yrs
Maksim Zadoyanny (R)	0	LW	100.00	40	62	72	71	64	84	84	87	61	89	64	64	79	75	82	75	50	74	20	900,000$/3yrs
Clayton Ferriero (R)	71	RW	100.00	99	44	87	95	97	70	55	89	77	49	69	53	86	51	35	73	50	73	23	800,000$/1yrs
Victor Shier	12	C	100.00	90	52	92	91	67	95	49	97	94	60	57	30	73	53	90	0	50	71	36	1,100,000$/1yrs
Deric Murray (R)	26	LW	100.00	92	32	59	83	50	99	64	82	46	37	79	99	44	91	47	71	50	71	22	800,000$/2yrs
Kirt Legare (R)	99	C	100.00	85	59	78	89	48	88	63	85	82	63	50	59	43	49	45	66	50	70	22	800,000$/2yrs
Ismo-Pekka Makkonen (R)	0	LW	100.00	63	42	65	82	71	76	57	90	77	39	62	76	71	34	63	71	50	68	21	1,995,000$/5yrs
Misa Ylaja (R)	78	D	100.00	66	46	73	81	84	80	62	61	25	49	35	99	74	40	85	64	50	72	22	1,950,000$/4yrs
Angel Jandora (R)	0	D	100.00	61	33	90	75	58	74	96	86	25	52	46	83	92	45	32	57	50	70	24	955,525$/3yrs
Dalen Latour (R)	0	D	100.00	53	41	60	91	81	68	63	61	25	62	59	84	56	66	89	75	50	70	21	800,000$/3yrs
Vince Varady	6	D	100.00	54	53	57	82	47	86	60	85	25	80	35	98	54	76	90	64	50	69	23	1,300,000$/4yrs
Teo Rutar (R)	0	D	100.00	84	31	78	80	70	77	56	78	25	51	30	84	94	35	40	63	50	69	24	1,990,000$/2yrs
Macgregor Yorke	2	D	100.00	36	53	86	86	36	95	48	71	25	80	72	85	52	50	94	0	50	67	37	1,500,000$/1yrs
Scratches
Lindon Stallworth	23	RW	100.00	56	41	87	92	96	75	67	89	61	60	71	77	73	59	96	22	50	76	30	1,600,000$/5yrs
Graeme Hampshire	0	RW	100.00	81	36	78	76	94	59	50	80	86	84	44	91	93	53	52	20	50	74	32	900,000$/1yrs
Tim Humonen	28	C	100.00	57	58	94	94	70	67	61	86	90	58	63	89	77	40	60	6	50	74	34	1,330,000$/2yrs
Coy Hillis	20	C	100.00	28	36	95	74	66	64	95	87	99	72	84	37	56	74	97	35	50	73	27	1,456,817$/3yrs
Jacobus Adriaanse (R)	0	C	100.00	98	50	56	91	96	82	53	80	60	58	90	24	58	82	60	64	50	71	22	1,852,000$/4yrs
Rainar Lamminsivu (R)	0	LW	100.00	94	54	91	89	58	69	62	78	74	54	67	61	34	45	43	69	50	69	24	990,000$/2yrs
Loik Lowrey	43	D	100.00	64	69	86	74	57	76	66	72	25	65	65	98	72	91	47	6	50	72	35	1,850,000$/1yrs
Fernando Langlois (R)	0	D	100.00	71	54	97	79	55	66	67	99	25	86	61	71	55	47	61	50	50	71	25	1,998,999$/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
Hansjurgen Thom	33	98.00	89	73	76	67	81	81	87	83	71	72	69	77	86	55	50	78	19	900,000$/2yrs
Fabio-Luca Aebischer	30	100.00	73	85	86	68	64	77	83	78	74	64	80	75	66	65	50	75	20	1,000,000$/2yrs
Scratches
Carl-Johan Paakkala	0	100.00	79	88	75	73	99	65	88	69	56	65	69	54	59	59	50	76	24	1,684,690$/3yrs

	Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
	Tosha Sotnikov	86	56	90	95	39	54	71	RUS	58	3	500,000$

General Manager
Gabriel Bossé

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	Anton Lebed	Northmen (HAR)	RW	30	14	13	27	10	49	35	75	111	35	61	12.61%	13	18.30	0.00	1	0	1	0	0	0	0	2	2	40.00%	0	0	0.90	0	0	0.87
2	Maksim Zadoyanny	Northmen (HAR)	LW	29	11	16	27	12	76	40	9	69	26	45	15.94%	14	18.11	0.00	2	1	3	0	0	0	0	0	0	58.82%	0	1	0.93	0	0	0.57
3	Devon Guptill	Northmen (HAR)	C	30	12	12	24	13	7	5	48	107	46	65	11.21%	9	16.74	0.00	0	0	0	1	0	1	17	2	0	48.85%	0	0	0.80	0	0	1.05
4	Abram Korolyuk	Northmen (HAR)	LW	30	6	16	22	2	10	10	14	62	18	37	9.68%	17	15.96	0.00	2	1	3	0	0	0	27	3	1	31.75%	0	0	0.73	0	0	0.66
5	Torrey Birdsell	Northmen (HAR)	C	24	9	11	20	10	46	20	43	73	20	35	12.33%	6	17.98	0.00	0	0	0	0	0	0	0	3	1	55.32%	0	0	0.83	0	0	0.70
6	Deric Murray	Northmen (HAR)	LW	29	12	7	19	12	2	0	98	88	26	33	13.64%	15	18.05	0.00	0	2	2	0	0	0	24	2	1	44.59%	0	0	0.66	0	0	0.96
7	Victor Shier	Northmen (HAR)	C	27	5	10	15	3	0	0	31	48	15	37	10.42%	2	11.28	0.00	0	0	0	0	0	0	3	2	1	52.74%	0	0	0.56	0	0	0.61
8	Kirt Legare	Northmen (HAR)	C	26	10	5	15	8	34	10	57	51	18	30	19.61%	9	12.93	0.00	0	0	0	0	0	0	0	6	2	54.91%	0	0	0.58	0	0	0.53
9	Erin Corderoy	Northmen (HAR)	LW	30	6	8	14	15	30	30	6	65	23	40	9.23%	18	18.32	0.00	1	1	2	0	0	0	9	2	1	47.92%	1	0	0.47	0	0	0.53
10	Clayton Ferriero	Northmen (HAR)	RW	30	6	5	11	2	2	0	52	35	20	24	17.14%	4	9.69	0.00	0	0	0	0	0	0	0	0	0	60.00%	0	0	0.37	0	0	0.43
11	Misa Ylaja	Northmen (HAR)	D	30	0	9	9	14	9	5	33	26	11	11	0.00%	29	19.64	0.00	0	0	0	0	1	1	24	0	0	0.00%	0	0	0.30	0	0	0.42
12	Ismo-Pekka Makkonen	Northmen (HAR)	LW	29	2	7	9	3	14	10	44	31	10	22	6.45%	10	14.30	0.00	0	2	2	0	0	0	0	0	0	50.62%	0	0	0.31	0	0	0.30
13	Lindon Stallworth	Northmen (HAR)	RW	9	5	3	8	4	5	5	4	16	4	10	31.25%	2	12.47	0.00	0	0	0	1	0	1	7	0	1	37.50%	0	1	0.89	0	0	0.86
14	Loik Lowrey	Northmen (HAR)	D	13	0	8	8	2	10	10	11	21	9	5	0.00%	14	22.04	0.00	0	0	0	0	0	0	6	0	0	100.00%	0	0	0.62	0	0	0.52
15	Teo Rutar	Northmen (HAR)	D	29	0	7	7	8	6	0	52	34	19	11	0.00%	28	19.55	0.00	0	0	0	0	0	0	8	0	0	0.00%	0	0	0.24	0	0	0.39
16	Dalen Latour	Northmen (HAR)	D	30	0	6	6	3	19	5	35	33	17	12	0.00%	36	24.17	0.00	0	0	0	0	0	0	24	0	0	0.00%	0	0	0.20	0	0	0.21
17	Vince Varady	Northmen (HAR)	D	26	0	5	5	15	24	20	30	18	5	8	0.00%	23	18.93	0.00	0	0	0	0	0	0	21	0	0	0.00%	0	0	0.19	0	0	0.26
18	Wendel Mackaness	Northmen (HAR)	RW	27	2	3	5	3	10	0	50	29	5	15	6.90%	10	10.67	0.00	0	0	0	0	1	1	21	1	0	45.45%	0	0	0.19	0	0	0.24
19	Angel Jandora	Northmen (HAR)	D	15	0	5	5	4	5	5	9	18	0	10	0.00%	11	19.66	0.00	0	0	0	0	0	0	2	0	0	0.00%	0	0	0.33	0	0	0.38
20	Coy Hillis	Northmen (HAR)	C	3	1	2	3	1	0	0	0	3	2	2	33.33%	0	11.61	0.00	0	0	0	0	0	0	0	0	0	62.50%	0	0	1.00	0	0	0.94
21	Macgregor Yorke	Northmen (HAR)	D	7	0	2	2	2	0	0	0	5	5	4	0.00%	7	14.40	0.00	0	0	0	0	0	0	9	0	0	0.00%	0	0	0.29	0	0	0.38
22	Fernando Langlois	Northmen (HAR)	D	12	0	2	2	3	5	5	3	10	2	5	0.00%	7	12.18	0.00	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.17	0	0	0.20
23	Graeme Hampshire	Northmen (HAR)	RW	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	1.45	0.00	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0.00
24	Tim Humonen	Northmen (HAR)	C	2	0	0	0	0	0	0	0	1	1	0	0.00%	1	6.69	0.00	0	0	0	0	0	0	0	0	0	100.00%	0	0	0.00	0	0	0.08
Team Total or Average				518	101	162	263	149	363	215	704	954	337	522	10.59%	285	16.52	6	7	13	465	2	2	4	211	23	10	51.47%	1704	217	158	1	2	0.61	0	0

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	Hansjurgen Thom	Northmen (HAR)	23	18	3	1	0.920	2.40	1327	0	0	53	663	306	2	0	0.000	0	22	8	4	1	1
2	Fabio-Luca Aebischer	Northmen (HAR)	9	5	2	1	0.907	2.90	476	2	0	23	246	122	1	0	0.000	0	8	21	1	0	0
Team Total or Average		32	23	5	2	0.916	2.53	1804	2	0	76	909	428	3	0	0.000	0	30	29	5	1	1

Salary

Player Name	POS	Age	Cap Hit	6-7	7	8	9	10
Abram Korolyuk	LW	31	1,380,000$	1,380,000$
Angel Jandora	D	24	955,525$	955,525$	955,525$	955,525$
Anton Lebed	RW	30	1,450,000$	1,450,000$	1,450,000$
Carl-Johan Paakkala	G	24	1,684,690$	1,684,690$	1,684,690$	1,684,690$
Clayton Ferriero	RW	23	800,000$	800,000$
Coy Hillis	C	27	1,456,817$	1,456,817$	1,456,817$	1,456,817$
Dalen Latour	D	21	800,000$	800,000$	800,000$	800,000$
Deric Murray	LW	22	800,000$	800,000$	800,000$
Devon Guptill	C	31	1,470,000$	1,470,000$	1,470,000$	1,470,000$
Erin Corderoy	LW	22	800,000$	800,000$	800,000$
Fabio-Luca Aebischer	G	20	1,000,000$	1,000,000$	1,000,000$
Fernando Langlois	D	25	1,998,999$	1,998,999$
Graeme Hampshire	RW	32	900,000$	900,000$
Hansjurgen Thom	G	19	900,000$	900,000$	900,000$
Ismo-Pekka Makkonen	LW	21	1,995,000$	1,995,000$	1,995,000$	1,995,000$	1,995,000$	1,995,000$
Jacobus Adriaanse	C	22	1,852,000$	1,852,000$	1,852,000$	1,852,000$	1,852,000$
Kirt Legare	C	22	800,000$	800,000$	800,000$
Lindon Stallworth	RW	30	1,600,000$	1,600,000$	1,600,000$	1,600,000$	1,600,000$	1,600,000$
Loik Lowrey	D	35	1,850,000$	1,850,000$
Macgregor Yorke	D	37	1,500,000$	1,500,000$
Maksim Zadoyanny	LW	20	900,000$	900,000$	900,000$	900,000$
Misa Ylaja	D	22	1,950,000$	1,950,000$	1,950,000$	1,950,000$	1,950,000$
Rainar Lamminsivu	LW	24	990,000$	990,000$	990,000$
Teo Rutar	D	24	1,990,000$	1,990,000$	1,990,000$
Tim Humonen	C	34	1,330,000$	1,330,000$	1,330,000$
Torrey Birdsell	C	33	1,700,000$	1,700,000$
Victor Shier	C	36	1,100,000$	1,100,000$
Vince Varady	D	23	1,300,000$	1,300,000$	1,300,000$	1,300,000$	1,300,000$
Wendel Mackaness	RW	25	1,990,999$	1,990,999$

Lines

5v5 Lines

Zadoyanny

GP: 29 | G: 11 | A: 16 | PTS: 27

Birdsell

GP: 24 | G: 9 | A: 11 | PTS: 20

Lebed

GP: 30 | G: 14 | A: 13 | PTS: 27

Murray

GP: 29 | G: 12 | A: 7 | PTS: 19

Shier

GP: 27 | G: 5 | A: 10 | PTS: 15

Corderoy

GP: 30 | G: 6 | A: 8 | PTS: 14

Korolyuk

GP: 30 | G: 6 | A: 16 | PTS: 22

Legare

GP: 26 | G: 10 | A: 5 | PTS: 15

Makkonen

GP: 29 | G: 2 | A: 7 | PTS: 9

Ferriero

GP: 30 | G: 6 | A: 5 | PTS: 11

Guptill

GP: 30 | G: 12 | A: 12 | PTS: 24

Mackaness

GP: 27 | G: 2 | A: 3 | PTS: 5

Varady

GP: 26 | G: 0 | A: 5 | PTS: 5

Latour

GP: 30 | G: 0 | A: 6 | PTS: 6

Rutar

GP: 29 | G: 0 | A: 7 | PTS: 7

Jandora

GP: 15 | G: 0 | A: 5 | PTS: 5

Yorke

GP: 7 | G: 0 | A: 2 | PTS: 2

Ylaja

GP: 30 | G: 0 | A: 9 | PTS: 9

Power Play Lines

Lebed

GP: 30 | G: 14 | A: 13 | PTS: 27

Murray

GP: 29 | G: 12 | A: 7 | PTS: 19

Zadoyanny

GP: 29 | G: 11 | A: 16 | PTS: 27

Birdsell

GP: 24 | G: 9 | A: 11 | PTS: 20

Rutar

GP: 29 | G: 0 | A: 7 | PTS: 7

Corderoy

GP: 30 | G: 6 | A: 8 | PTS: 14

Makkonen

GP: 29 | G: 2 | A: 7 | PTS: 9

Korolyuk

GP: 30 | G: 6 | A: 16 | PTS: 22

Ylaja

GP: 30 | G: 0 | A: 9 | PTS: 9

Latour

GP: 30 | G: 0 | A: 6 | PTS: 6

Goalies

Aebischer

W: 5 | L: 2 | 0.907 SV%

Thom

W: 18 | L: 3 | 0.92 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	GF	GA	Diff	P	PCT	G	A	TP	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	Jacks	1	0	1	0	0	1	2	-1	0	0.000	1	2	3	28	33	36	4	36	327	314	328	6	29	6	24	17	5	0	0.00%	2	1	50.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	50.0%	2.8%	93.1%	95.9	DULL
2	Rampage	2	0	2	0	0	4	10	-6	0	0.000	4	6	10	28	33	36	4	63	327	314	328	6	60	19	53	53	1	0	0.00%	4	2	50.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	33.3%	6.3%	83.3%	89.7	Unlucky
3	Kings	1	1	0	0	0	3	1	2	2	1.000	3	4	7	28	33	36	4	28	327	314	328	6	28	22	21	20	1	0	0.00%	3	1	66.67%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	100.0%	10.7%	96.4%	107.1	LUCKY
4	Wolverines	1	0	1	0	0	1	4	-3	0	0.000	1	1	2	28	33	36	4	42	327	314	328	6	35	8	27	21	1	0	0.00%	1	1	0.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	25.0%	2.4%	88.6%	91.0	Unlucky
5	Comets	1	0	1	0	0	2	4	-2	0	0.000	2	3	5	28	33	36	4	24	327	314	328	6	29	12	7	20	3	0	0.00%	1	1	0.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	40.0%	8.3%	86.2%	94.5	Unlucky
6	Crusaders	3	3	0	0	0	13	7	6	6	1.000	13	22	35	28	33	36	4	82	327	314	328	6	105	30	32	83	7	1	14.29%	1	0	100.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	63.2%	15.9%	93.3%	109.2	LUCKY
7	Bulldogs	3	3	0	0	0	14	9	5	6	1.000	14	21	35	28	33	36	4	106	327	314	328	6	97	30	46	81	7	2	28.57%	3	1	66.67%	1	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	60.0%	13.2%	90.7%	103.9	FUN
8	Rock	1	1	0	0	0	4	2	2	2	1.000	4	6	10	28	33	36	4	31	327	314	328	6	30	14	2	31	3	0	0.00%	1	0	100.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	66.7%	12.9%	93.3%	106.2	LUCKY
9	Jazz	1	1	0	0	0	4	1	3	2	1.000	4	7	11	28	33	36	4	38	327	314	328	6	21	5	2	26	1	0	0.00%	1	0	100.00%	1	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	80.0%	10.5%	95.2%	105.8	LUCKY
10	Hornets	1	0	0	0	1	1	2	-1	1	0.500	1	1	2	28	33	36	4	32	327	314	328	6	30	10	2	31	1	0	0.00%	1	0	100.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	33.3%	3.1%	93.3%	96.5	DULL
11	Vipers	2	1	0	1	0	8	5	3	4	1.000	8	15	23	28	33	36	4	63	327	314	328	6	55	22	14	63	4	0	0.00%	2	0	100.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	61.5%	12.7%	90.9%	103.6	FUN
12	Stingers	5	4	0	1	0	19	10	9	10	1.000	19	32	51	28	33	36	4	165	327	314	328	6	147	42	123	112	10	2	20.00%	14	4	71.43%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	73.9%	11.5%	93.2%	104.7	LUCKY
13	Hydra	2	1	0	1	0	6	4	2	4	1.000	6	9	15	28	33	36	4	68	327	314	328	6	65	21	20	41	1	1	100.00%	5	2	60.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	71.4%	8.8%	93.8%	102.7	DULL
14	Phantoms	1	1	0	0	0	3	1	2	2	1.000	3	6	9	28	33	36	4	22	327	314	328	6	30	13	0	27	1	0	0.00%	0	0	0.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	75.0%	13.6%	96.7%	110.3	LUCKY
15	Spartans	2	2	0	0	0	6	4	2	4	1.000	6	12	18	28	33	36	4	61	327	314	328	6	68	18	9	51	3	0	0.00%	2	1	50.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	66.7%	9.8%	94.1%	104.0	LUCKY
16	Wild Wings	2	1	0	1	0	8	5	3	4	1.000	8	14	22	28	33	36	4	81	327	314	328	6	53	19	15	54	2	0	0.00%	0	0	0.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	61.5%	9.9%	90.6%	100.4	FUN
17	Swamp Puppies	1	0	0	0	1	4	5	-1	1	0.500	4	7	11	28	33	36	4	33	327	314	328	6	27	13	15	30	4	0	0.00%	0	0	0.00%	0	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	44.4%	12.1%	81.5%	93.6	FUN
	_Vs Division	10	8	0	2	0	39	28	11	20	1.000	39	63	102	28	33	36	4	328	327	314	328	6	300	97	191	243	24	4	16.67%	18	6	66.67%	1	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	61.4%	11.9%	90.7%	102.6	FUN
	_Vs Conference	23	16	3	3	1	84	61	23	39	0.848	84	139	223	28	33	36	4	752	327	314	328	6	702	223	324	582	42	6	14.29%	32	11	65.63%	2	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	60.9%	11.2%	91.3%	102.5	LUCKY
	_Since Last GM Reset	30	19	5	4	2	101	76	25	48	0.800	101	168	269	28	33	36	4	975	327	314	328	6	909	304	412	761	55	6	10.91%	41	14	65.85%	2	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	60.5%	10.4%	91.6%	102.0	LUCKY
	Total	30	19	5	4	2	101	76	25	48	0.800	101	168	269	28	33	36	4	975	327	314	328	6	909	304	412	761	55	6	10.91%	41	14	65.85%	2	326	625	52.16%	310	639	48.51%	241	433	55.66%	680	416	617	251	508	262	60.5%	10.4%	91.6%	102.0	LUCKY

	Puck Time
Offensive Zone	22
Neutral Zone	16
Defensive Zone	20

	Puck Time
Offensive Zone Start	625
Neutral Zone Start	433
Defensive Zone Start	639

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	877
Faceoffs Lost	820

	Team Average Shots after	League Average Shots after
1st Period	10.9	9.57
2nd Period	21.4	20.31
3rd Period	32.3	30.68
Overtime	32.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.9	0.64
2nd Period	2.0	1.65
3rd Period	3.2	2.67
Overtime	3.4	2.83


Even Strenght Goal	93
PP Goal	6
PK Goal	2
Empty Net Goal	0

	Home	Away
Win	12	11
Lost	3	2
Overtime Lost	0	2


PP Attempt	55
PP Goal	6
PK Attempt	41
PK Goal Against	14

	Home
Shots For	32.5
Shots Against	30.3
Goals For	3.4
Goals Against	2.5
Hits	25.4
Shots Blocked	10.1
Pim	13.7

Schedule

Mon, Jun 15

Northmen

(OT)

Wild Wings

Boxscore

Tue, Jun 16

Crusaders

Northmen

Boxscore

Fri, Jun 19

Phantoms

Northmen

Boxscore

Sat, Jun 20

Rampage

Northmen

Boxscore

Mon, Jun 22

Spartans

Northmen

Boxscore

Wed, Jun 24

Northmen

(OT)

Swamp Puppies

Boxscore

Thu, Jun 25

Northmen

(OT)

Hornets

Boxscore

Sat, Jun 27

Rock

Northmen

Boxscore

Mon, Jun 29

Northmen

Bulldogs

Boxscore

Tue, Jun 30

Stingers

(OT)

Northmen

Boxscore

Thu, Jul 2

Jacks

Northmen

Boxscore

Sat, Jul 4

Northmen

Jazz

Boxscore

Mon, Jul 6

Northmen

Wolverines

Boxscore

Tue, Jul 7

Northmen

Spartans

Boxscore

Thu, Jul 9

Northmen

Bulldogs

Boxscore

Sat, Jul 11

Bulldogs

Northmen

Boxscore

Mon, Jul 13

Northmen

Stingers

Boxscore

Wed, Jul 15

Vipers

Northmen

Boxscore

Fri, Jul 17

Rampage

Northmen

Boxscore

Sat, Jul 18

Stingers

Northmen

Boxscore

Mon, Jul 20

Northmen

(OT)

Vipers

Boxscore

Tue, Jul 21

Northmen

Crusaders

Boxscore

Fri, Jul 24

Northmen

Comets

Boxscore

Sat, Jul 25

Northmen

Stingers

Boxscore

Mon, Jul 27

Crusaders

Northmen

Boxscore

Tue, Jul 28

Hydra

(OT)

Northmen

Boxscore

Thu, Jul 30

Wild Wings

Northmen

Boxscore

Sat, Aug 1

Northmen

Stingers

Boxscore

Mon, Aug 3

Hydra

Northmen

Boxscore

Tue, Aug 4

Northmen

Kings

Boxscore

Thu, Aug 6

Northmen

Jazz

Sat, Aug 8

Wild Wings

Northmen

Mon, Aug 10

Rock

Northmen

Tue, Aug 11

Northmen

Guppies

Thu, Aug 13

Drillers

Northmen

Sat, Aug 15

Northmen

Hydra

Mon, Aug 17

Northmen

Auroras

Wed, Aug 19

Jazz

Northmen

Fri, Aug 21

Northmen

Bulldogs

Sat, Aug 22

Bulldogs

Northmen

Mon, Aug 24

Northmen

Wild Wings

Tue, Aug 25

Wolfpack

Northmen

Fri, Aug 28

Northmen

Jacks

Sat, Aug 29

Northmen

Rampage

Mon, Aug 31

Swamp Puppies

Northmen

Tue, Sep 1

Northmen

Spartans

Fri, Sep 4

Devils

Northmen

Sat, Sep 5

Bulldogs

Northmen

Mon, Sep 7

Northmen

Devils

Tue, Sep 8

Outlaws

Northmen

Thu, Sep 10

Northmen

Wolfpack

Sat, Sep 12

Hornets

Northmen

Mon, Sep 14

Auroras

Northmen

Tue, Sep 15

Northmen

Yeti

Fri, Sep 18

Northmen

Outlaws

Sat, Sep 19

Northmen

Bulldogs

Mon, Sep 21

Wild Wings

Northmen

Wed, Sep 23

Kings

Northmen

Fri, Sep 25

Stingers

Northmen

Sat, Sep 26

Comets

Northmen

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

Mon, Sep 28

Northmen

Drillers

Thu, Oct 1

Northmen

Crusaders

Sat, Oct 3

Northmen

Phantoms

Mon, Oct 5

Northmen

Bulldogs

Wed, Oct 7

Northmen

Stingers

Thu, Oct 8

Northmen

Wild Wings

Sat, Oct 10

Guppies

Northmen

Mon, Oct 12

Northmen

Schooners

Tue, Oct 13

Northmen

Hydra

Fri, Oct 16

Wild Wings

Northmen

Sat, Oct 17

Schooners

Northmen

Mon, Oct 19

Wild Wings

Northmen

Thu, Oct 22

Wolverines

Northmen

Sat, Oct 24

Yeti

Northmen

Mon, Oct 26

Northmen

Stingers

Wed, Oct 28

Bulldogs

Northmen

Sat, Oct 31

Northmen

Rock

Mon, Nov 2

Spartans

Northmen

Wed, Nov 4

Stingers

Northmen

Fri, Nov 6

Northmen

Wild Wings

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,924,403$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	3000	2000
Ticket Price	35$	15$	$	$	$
Attendance	42687	28269
Attendance PCT	94.86%	94.23%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
25	4730 - 94.61%	166,234$	2,493,506$	5000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,924,403$	3,924,403$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,590,173$	3,924,403$	1,416,711$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
4,155,843$	96	30,098$	2,889,408$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
2,889,408$	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

Yuvenaly Zhornyak is out for 1 week because of a Left Foot Injury.

Team History

Game Center

Hydra15-12-2, 32pts

12Final

Northmen23-5-2, 48pts

31Final

Kings13-10-7, 33pts

Northmen23-5-2, 48pts

Thu, Aug 06

Jazz12-12-5, 29pts

Wild Wings9-14-6, 24pts

Sat, Aug 08

Northmen23-5-2, 48pts

TRANSACTIONS

Team Info


	Head Coach	Tosha Sotnikov
	Division	Northeast
	City	Rimouski
	Stadium Capacity	5,000

Northmen Affiliation


	General Manager	Gabriel Bossé
	Head Coach	Matt Binns
	Stadium	Colisée
	Capacity	18,000

Team Jerseys


Home	Away	Alternate

Team Leaders

GOALS Anton Lebed Northmen	14 GOALS
POINTS Anton Lebed Northmen	27 POINTS
WINS Hansjurgen Thom Northmen	18 WINS
Expanded Player Leaderboard

Team Stats

Goals For 101 3.37 GFG	Goals Against 76 2.53 GAA
Power Play Percentage 10.9% 6 GF	Penalty Kill Percentage 65.9% 14 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain

Back to the Top

GM: Gabriel Bossé	League Rank:1st	Arena: Rimouski Arena
Conference: Eastern Conference	Conference Rank:1st	Capacity:5,000
Division: Northeast	Division Rank:1st	Total Player Salaries:3,924,403$
Captain:	Last 10: 9-1-0
Coach: Tosha Sotnikov	Home: 10-3-0
All-Time Record: 211 W - 147 L - 42 OTL	Away: 9-2-2