Light The Lamp Hockey League - Today's Games Farm

GP	W	L	OT	Pts
31	10	15	6	26

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
Jochen Sieger (C)	11	C	100.00	42	67	81	74	84	91	64	89	86	84	59	80	58	56	97	41	50	77	27	1,250,000$/4yrs
Jayce Petrie (A)	83	RW	100.00	70	69	94	71	92	82	72	92	80	84	38	73	86	50	60	0	50	77	37	1,400,000$/1yrs
Riordan Winstone	9	C	96.00	87	53	98	97	63	75	88	67	96	45	77	82	52	36	46	5	50	76	35	1,950,000$/1yrs
R.J. Upton	79	LW	98.00	90	61	91	61	83	94	61	74	79	87	64	59	94	68	36	0	50	76	35	1,100,000$/1yrs
Valery Kolesnikov	46	RW	99.00	98	45	64	76	68	83	77	85	73	47	77	92	92	75	66	5	50	75	33	1,800,000$/1yrs
Erwin Haberer (R) (A)	80	C	95.00	65	66	86	78	77	76	70	77	72	71	66	86	77	64	74	78	50	75	19	900,000$/2yrs
Marcel Blazik (R)	22	LW	99.00	74	61	87	73	67	78	76	93	60	64	92	56	67	74	63	68	50	74	20	900,000$/3yrs
Caspar Reichelt (R)	71	RW	100.00	86	67	72	68	77	73	85	75	58	70	84	65	67	60	69	84	50	74	19	900,000$/3yrs
Jesse-Petteri Ivari (R)	10	RW	98.00	67	68	78	78	77	75	68	53	69	70	84	90	81	64	68	65	50	74	18	900,000$/3yrs
Ernest Champlin	82	LW	100.00	64	42	82	57	93	80	51	83	73	86	62	64	55	66	66	10	50	73	34	700,000$/1yrs
Fyodor Romantsev	28	LW	100.00	56	38	88	64	49	78	83	90	86	58	82	79	79	66	98	0	50	73	36	1,500,000$/1yrs
Sarno Huopio	25	LW	100.00	92	68	66	85	62	64	85	98	70	71	71	44	90	67	56	8	50	73	33	900,000$/2yrs
Pasi-Pekka Hoikkala (R)	60	D	100.00	69	65	67	69	85	85	76	67	81	74	84	79	74	83	60	60	50	76	18	1,000,000$/3yrs
Grayson Jambrosich	47	D	98.00	74	66	73	92	90	66	67	67	25	69	50	76	34	64	64	2	50	74	35	1,350,000$/1yrs
Ronald Duco	8	D	100.00	41	64	89	66	49	91	88	93	25	71	73	70	95	80	84	4	50	73	36	965,000$/1yrs
Daryl Goyer (R)	73	D	100.00	34	52	90	67	58	85	97	82	25	39	59	96	28	93	53	55	50	69	24	775,000$/2yrs
Peyton Fennell	0	D	100.00	76	35	89	61	67	69	64	88	25	69	34	75	97	70	78	12	50	68	34	715,000$/1yrs
Damien Mosienko (R)	57	D	100.00	72	33	79	85	27	62	67	69	25	67	40	97	86	94	50	65	50	65	23	1,999,999$/1yrs
Scratches
Pavlo Benard	81	C	92.70	41	67	80	62	68	89	51	84	65	87	58	92	39	88	54	0	50	73	38	965,000$/1yrs
Sigvard Ukkola	64	RW	100.00	93	48	86	86	79	79	51	90	90	80	43	41	64	59	59	17	50	72	32	950,000$/1yrs
Stephan Audet	0	RW	100.00	63	52	96	64	92	92	69	61	89	56	33	83	71	96	71	2	50	70	37	790,000$/1yrs
Riley Antisin (R)	85	C	100.00	27	42	83	66	57	61	66	82	59	92	87	30	76	32	70	49	50	67	25	1,427,924$/1yrs
Valentin Akerblom (R)	72	C	100.00	81	47	60	82	41	69	55	64	98	57	51	87	95	68	56	69	50	65	23	820,549$/1yrs
Wilhelm Billberg (R)	40	LW	100.00	33	34	73	89	46	77	70	72	62	63	56	54	63	35	53	62	50	64	23	800,000$/1yrs
Trevor Marcoux (R)	56	D	100.00	36	44	91	81	30	81	60	81	25	33	64	86	86	54	73	62	50	60	22	800,000$/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
Daulton Gammond	75	100.00	69	90	66	84	78	98	79	85	72	75	87	28	86	53	50	80	24	1,995,000$/2yrs
Blaine Trevisani	1	100.00	68	69	76	77	69	74	87	60	64	78	89	42	54	65	50	72	22	1,300,000$/2yrs
Scratches
Patrick Carlyle	35	95.00	71	57	64	92	97	68	81	68	94	71	55	28	46	53	50	76	24	1,995,000$/1yrs

	Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
	Wolf-Dieter Niemeyer	95	95	34	45	99	73	70	GER	56	2	800,000$

General Manager
Alexandre Bouchard

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	PKP	PKM	GW	GT	FO%	EG	HT	P/GP	PSG	PSS	GSAVG
1	Jochen Sieger	Wolverines (TRI)	C	26	19	19	38	3	26	20	33	110	32	64	17.27%	13	21.27	0.00	4	5	9	1	1	36	2	1	50.08%	0	2	1.46	0	2	1.30
2	Marcel Blazik	Wolverines (TRI)	LW	31	10	15	25	3	60	20	38	138	34	103	7.25%	5	17.45	0.00	1	5	6	0	0	0	0	0	52.00%	0	0	0.81	0	0	0.71
3	Erwin Haberer	Wolverines (TRI)	C	31	12	8	20	-10	78	40	55	96	29	47	12.50%	25	19.63	0.00	4	2	6	0	0	49	2	1	43.97%	0	0	0.65	0	1	0.20
4	R.J. Upton	Wolverines (TRI)	LW	31	7	10	17	5	12	10	62	56	21	25	12.50%	7	16.75	0.00	3	3	6	0	0	31	3	0	45.00%	0	0	0.55	0	1	0.57
5	Jayce Petrie	Wolverines (TRI)	RW	26	6	11	17	2	17	15	41	55	26	31	10.91%	14	14.71	0.00	0	3	3	0	0	18	0	0	75.00%	0	0	0.65	0	0	0.62
6	Caspar Reichelt	Wolverines (TRI)	RW	31	5	9	14	5	32	10	78	66	17	30	7.58%	12	15.70	0.00	1	3	4	0	0	0	0	1	34.29%	0	0	0.45	0	0	0.44
7	Sarno Huopio	Wolverines (TRI)	LW	26	2	10	12	-9	34	20	46	56	34	40	3.57%	7	13.08	0.00	0	1	1	0	0	7	0	0	33.33%	0	0	0.46	0	0	0.23
8	Jesse-Petteri Ivari	Wolverines (TRI)	RW	31	3	9	12	-13	22	10	58	39	15	31	7.69%	9	19.09	0.00	1	4	5	0	0	28	0	0	52.50%	0	0	0.39	1	1	0.15
9	Fyodor Romantsev	Wolverines (TRI)	LW	31	6	4	10	2	0	0	39	46	18	23	13.04%	3	11.76	0.00	0	0	0	0	0	0	1	1	63.64%	0	0	0.32	1	1	0.40
10	Grayson Jambrosich	Wolverines (TRI)	D	31	1	8	9	-3	65	35	51	41	21	20	2.44%	40	23.16	0.00	0	0	0	0	0	26	0	1	0.00%	0	0	0.29	0	0	-0.02
11	Pasi-Pekka Hoikkala	Wolverines (TRI)	D	31	1	7	8	-11	77	45	65	42	23	25	2.38%	33	25.72	0.00	1	1	2	0	0	48	0	1	0.00%	0	0	0.26	0	0	-0.19
12	Pavlo Benard	Wolverines (TRI)	C	30	3	4	7	1	39	25	19	45	17	31	6.67%	8	13.15	0.00	0	0	0	0	0	31	0	0	45.00%	0	0	0.23	0	0	0.08
13	Riordan Winstone	Wolverines (TRI)	C	12	3	4	7	5	4	0	15	34	7	18	8.82%	4	16.60	0.00	1	0	1	0	0	20	0	0	52.83%	0	0	0.58	0	2	0.79
14	Daryl Goyer	Wolverines (TRI)	D	31	2	4	6	0	5	5	13	36	16	10	5.56%	34	21.60	0.00	1	1	2	0	0	59	0	0	0.00%	0	0	0.19	0	0	0.24
15	Damien Mosienko	Wolverines (TRI)	D	31	0	5	5	5	16	0	28	25	8	11	0.00%	16	14.89	0.00	0	0	0	0	0	29	0	0	0.00%	0	0	0.16	0	0	0.17
16	Riley Antisin	Wolverines (TRI)	C	17	1	3	4	-5	0	0	3	21	8	16	4.76%	2	8.48	0.00	0	0	0	0	0	0	1	0	32.76%	0	0	0.24	0	0	0.18
17	Sigvard Ukkola	Wolverines (TRI)	RW	18	1	2	3	-2	7	5	25	24	3	14	4.17%	1	10.27	0.00	0	0	0	0	0	0	0	0	25.00%	0	0	0.17	0	0	0.16
18	Ronald Duco	Wolverines (TRI)	D	18	0	3	3	0	2	0	13	35	11	10	0.00%	16	22.62	0.00	0	1	1	0	0	30	0	0	0.00%	0	0	0.17	0	0	0.29
19	Valery Kolesnikov	Wolverines (TRI)	RW	13	2	1	3	3	11	5	11	23	3	16	8.70%	1	9.64	0.00	0	1	1	0	0	6	0	0	40.00%	0	0	0.23	0	1	0.27
20	Trevor Marcoux	Wolverines (TRI)	D	18	0	2	2	0	12	10	1	15	4	8	0.00%	5	14.51	0.00	0	0	0	0	0	28	0	0	0.00%	0	0	0.11	0	0	0.03
21	Peyton Fennell	Wolverines (TRI)	D	13	0	1	1	5	2	0	6	3	0	2	0.00%	3	9.62	0.00	0	0	0	0	0	5	0	0	0.00%	0	0	0.08	0	0	0.18
22	Stephan Audet	Wolverines (TRI)	RW	5	0	0	0	-2	0	0	5	3	0	2	0.00%	0	7.72	0.00	0	0	0	0	0	0	0	0	100.00%	0	0	0.00	0	0	-0.08
23	Ernest Champlin	Wolverines (TRI)	LW	13	0	0	0	-2	0	0	8	10	4	5	0.00%	0	4.78	0.00	0	0	0	0	0	4	0	0	100.00%	0	0	0.00	0	0	0.03
Team Total or Average				545	84	139	223	-18	521	275	713	1019	351	582	8.24%	258	16.47	17	30	47	538	1	1	463	9	6	46.96%	1891	185	220	0	2	0.50	2	9

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	Patrick Carlyle	Wolverines (TRI)	14	5	7	2	0.919	2.59	789	0	0	34	421	203	1	0	0.500	2	12	18	0	0	1
2	Daulton Gammond	Wolverines (TRI)	19	5	8	4	0.892	3.43	1086	0	1	62	572	240	3	0	0.571	7	19	12	1	1	0
Team Total or Average		33	10	15	6	0.903	3.07	1875	0	1	96	993	443	4	0	0.556	9	31	30	1	1	1

Salary

Player Name	POS	Age	Cap Hit	6-7	7	8	9
Blaine Trevisani	G	22	1,300,000$	1,300,000$	1,300,000$
Caspar Reichelt	RW	19	900,000$	900,000$	900,000$	900,000$
Damien Mosienko	D	23	1,999,999$	1,999,999$
Daryl Goyer	D	24	775,000$	775,000$	775,000$
Daulton Gammond	G	24	1,995,000$	1,995,000$	1,995,000$
Ernest Champlin	LW	34	700,000$	700,000$
Erwin Haberer	C	19	900,000$	900,000$	900,000$
Fyodor Romantsev	LW	36	1,500,000$	1,500,000$
Grayson Jambrosich	D	35	1,350,000$	1,350,000$
Jayce Petrie	RW	37	1,400,000$	1,400,000$
Jesse-Petteri Ivari	RW	18	900,000$	900,000$	900,000$	900,000$
Jochen Sieger	C	27	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$
Marcel Blazik	LW	20	900,000$	900,000$	900,000$	900,000$
Pasi-Pekka Hoikkala	D	18	1,000,000$	1,000,000$	1,000,000$	1,000,000$
Patrick Carlyle	G	24	1,995,000$	1,995,000$
Pavlo Benard	C	38	965,000$	965,000$
Peyton Fennell	D	34	715,000$	715,000$
R.J. Upton	LW	35	1,100,000$	1,100,000$
Riley Antisin	C	25	1,427,924$	1,427,924$
Riordan Winstone	C	35	1,950,000$	1,950,000$
Ronald Duco	D	36	965,000$	965,000$
Sarno Huopio	LW	33	900,000$	900,000$	900,000$
Sigvard Ukkola	RW	32	950,000$	950,000$
Stephan Audet	RW	37	790,000$	790,000$
Trevor Marcoux	D	22	800,000$	800,000$
Valentin Akerblom	C	23	820,549$	820,549$
Valery Kolesnikov	RW	33	1,800,000$	1,800,000$
Wilhelm Billberg	LW	23	800,000$	800,000$

Lines

5v5 Lines

Upton

GP: 31 | G: 7 | A: 10 | PTS: 17

Winstone

GP: 12 | G: 3 | A: 4 | PTS: 7

Kolesnikov

GP: 13 | G: 2 | A: 1 | PTS: 3

Blazik

GP: 31 | G: 10 | A: 15 | PTS: 25

Haberer

GP: 31 | G: 12 | A: 8 | PTS: 20

Ivari

GP: 31 | G: 3 | A: 9 | PTS: 12

Romantsev

GP: 31 | G: 6 | A: 4 | PTS: 10

Sieger

GP: 26 | G: 19 | A: 19 | PTS: 38

Reichelt

GP: 31 | G: 5 | A: 9 | PTS: 14

Champlin

GP: 13 | G: 0 | A: 0 | PTS: 0

Petrie

GP: 26 | G: 6 | A: 11 | PTS: 17

Winstone

GP: 12 | G: 3 | A: 4 | PTS: 7

Hoikkala

GP: 31 | G: 1 | A: 7 | PTS: 8

Jambrosich

GP: 31 | G: 1 | A: 8 | PTS: 9

Duco

GP: 18 | G: 0 | A: 3 | PTS: 3

Goyer

GP: 31 | G: 2 | A: 4 | PTS: 6

Fennell

GP: 13 | G: 0 | A: 1 | PTS: 1

Mosienko

GP: 31 | G: 0 | A: 5 | PTS: 5

Power Play Lines

Upton

GP: 31 | G: 7 | A: 10 | PTS: 17

Winstone

GP: 12 | G: 3 | A: 4 | PTS: 7

Kolesnikov

GP: 13 | G: 2 | A: 1 | PTS: 3

Hoikkala

GP: 31 | G: 1 | A: 7 | PTS: 8

Jambrosich

GP: 31 | G: 1 | A: 8 | PTS: 9

Blazik

GP: 31 | G: 10 | A: 15 | PTS: 25

Haberer

GP: 31 | G: 12 | A: 8 | PTS: 20

Ivari

GP: 31 | G: 3 | A: 9 | PTS: 12

Duco

GP: 18 | G: 0 | A: 3 | PTS: 3

Goyer

GP: 31 | G: 2 | A: 4 | PTS: 6

Goalies

Gammond

W: 5 | L: 8 | 0.892 SV%

Trevisani

W: 0 | L: 0 | 0 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	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	GF%	SH%	SV%	PDO	PDOBRK
1	Jacks	2	0	0	0	1	0	1	5	7	-2	2	0.500	5	7	12	0	20	35	29	4	77	324	366	331	33	69	35	25	47	7	2	28.57%	5	2	60.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	37.5%	6.5%	89.9%	96.3	Unlucky
2	Kings	1	0	1	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	20	35	29	4	29	324	366	331	33	42	14	14	19	2	0	0.00%	2	1	50.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	50.0%	6.9%	92.9%	99.8	DULL
3	Comets	1	0	1	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	20	35	29	4	32	324	366	331	33	38	11	16	25	1	0	0.00%	3	1	66.67%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	25.0%	3.1%	89.5%	92.6	Unlucky
4	Crusaders	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	20	35	29	4	31	324	366	331	33	19	7	11	18	2	0	0.00%	3	1	66.67%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	33.3%	3.2%	84.2%	87.4	Unlucky
5	Bulldogs	1	0	1	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	20	35	29	4	43	324	366	331	33	37	7	11	19	1	0	0.00%	3	1	66.67%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	50.0%	4.7%	91.9%	96.5	DULL
6	Rock	2	0	2	0	0	0	0	5	10	-5	0	0.000	5	9	14	0	20	35	29	4	65	324	366	331	33	57	22	38	45	2	0	0.00%	4	2	50.00%	1	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	38.5%	7.7%	82.5%	90.1	Unlucky
7	Auroras	3	1	2	0	0	0	0	10	10	0	2	0.333	10	15	25	0	20	35	29	4	83	324	366	331	33	80	29	54	60	15	3	20.00%	7	2	71.43%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	46.7%	12.0%	87.5%	99.5	FUN
8	Hornets	3	1	0	0	1	0	1	6	6	0	4	0.667	6	9	15	0	20	35	29	4	90	324	366	331	33	66	21	10	87	1	0	0.00%	5	1	80.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	54.5%	6.7%	90.9%	97.6	Unlucky
9	Wolfpack	2	1	1	0	0	0	0	9	6	3	2	0.500	9	15	24	1	20	35	29	4	58	324	366	331	33	66	17	93	50	6	1	16.67%	9	1	88.89%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	61.5%	15.5%	90.9%	106.4	FUN
10	Vipers	2	0	1	0	1	0	0	6	8	-2	1	0.250	6	8	14	0	20	35	29	4	74	324	366	331	33	71	8	75	42	1	0	0.00%	5	2	60.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	50.0%	8.1%	88.7%	96.8	Unlucky
11	Devils	2	0	1	0	0	1	0	9	9	0	2	0.500	9	15	24	0	20	35	29	4	76	324	366	331	33	79	14	31	56	9	5	55.56%	8	4	50.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	44.4%	11.8%	88.6%	100.4	FUN
12	Guppies	1	1	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	20	35	29	4	39	324	366	331	33	38	7	4	13	5	2	40.00%	2	1	50.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	66.7%	10.3%	94.7%	105.0	LUCKY
13	Stingers	1	0	0	1	0	0	0	2	1	1	2	1.000	2	4	6	0	20	35	29	4	39	324	366	331	33	21	5	12	26	4	0	0.00%	1	0	100.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	66.7%	5.1%	95.2%	100.4	DULL
14	Hydra	2	0	1	0	1	0	0	3	6	-3	1	0.250	3	5	8	0	20	35	29	4	66	324	366	331	33	63	19	21	45	5	2	40.00%	8	1	87.50%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	16.7%	4.5%	90.5%	95.0	Unlucky
15	Phantoms	2	1	1	0	0	0	0	6	7	-1	2	0.500	6	11	17	0	20	35	29	4	66	324	366	331	33	77	22	68	50	5	2	40.00%	4	2	50.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	44.4%	9.1%	90.9%	100.0	FUN
16	Spartans	1	0	1	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	20	35	29	4	33	324	366	331	33	35	5	12	32	2	0	0.00%	1	0	100.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	42.9%	9.1%	88.6%	97.7	FUN
17	Northmen	1	1	0	0	0	0	0	4	1	3	2	1.000	4	8	12	0	20	35	29	4	35	324	366	331	33	42	11	17	31	1	1	100.00%	1	0	100.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	75.0%	11.4%	97.6%	109.0	LUCKY
18	Yeti	2	1	1	0	0	0	0	5	5	0	2	0.500	5	8	13	0	20	35	29	4	73	324	366	331	33	61	18	18	41	2	0	0.00%	4	1	75.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	55.6%	6.8%	91.8%	98.7	DULL
19	Drillers	1	0	0	1	0	0	0	4	3	1	2	1.000	4	6	10	0	20	35	29	4	36	324	366	331	33	32	2	4	21	2	0	0.00%	2	0	100.00%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	57.1%	11.1%	90.6%	101.7	FUN
	_Vs Division	8	2	3	1	1	0	1	23	31	-8	8	0.500	23	36	59	0	20	35	29	4	251	324	366	331	33	250	73	181	166	20	3	15.00%	18	7	61.11%	1	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	45.5%	9.2%	87.6%	96.8	FUN
	_Vs Conference	21	6	8	1	3	1	2	66	66	0	21	0.500	66	105	171	1	20	35	29	4	701	324	366	331	33	681	187	396	486	55	15	27.27%	53	17	67.92%	0	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	51.0%	9.4%	90.3%	99.7	FUN
	_Since Last GM Reset	31	7	15	2	4	1	2	87	98	-11	26	0.419	87	144	231	1	20	35	29	4	1045	324	366	331	33	993	274	534	727	73	18	24.66%	77	23	70.13%	1	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	47.9%	8.3%	90.1%	98.5	Unlucky
	Total	31	7	15	2	4	1	2	87	98	-11	26	0.419	87	144	231	1	20	35	29	4	1045	324	366	331	33	993	274	534	727	73	18	24.66%	77	23	70.13%	1	352	691	50.94%	306	705	43.40%	230	464	49.57%	676	397	660	274	543	269	47.9%	8.3%	90.1%	98.5	Unlucky

	Puck Time
Offensive Zone	21
Neutral Zone	17
Defensive Zone	21

	Puck Time
Offensive Zone Start	691
Neutral Zone Start	464
Defensive Zone Start	705

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	888
Faceoffs Lost	972

	Team Average Shots after	League Average Shots after
1st Period	10.5	9.57
2nd Period	22.3	20.31
3rd Period	32.9	30.68
Overtime	34.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.6	0.64
2nd Period	1.8	1.65
3rd Period	2.7	2.67
Overtime	2.8	2.83


Even Strenght Goal	68
PP Goal	18
PK Goal	1
Empty Net Goal	0

	Home	Away
Win	7	3
Lost	8	7
Overtime Lost	2	4


PP Attempt	73
PP Goal	18
PK Attempt	77
PK Goal Against	23

	Home
Shots For	33.7
Shots Against	32.0
Goals For	2.8
Goals Against	3.2
Hits	23.5
Shots Blocked	8.8
Pim	17.2

Schedule

Mon, Jun 15

Auroras

Wolverines

Boxscore

Tue, Jun 16

Wolverines

Kings

Boxscore

Fri, Jun 19

Hydra

(OT)

Wolverines

Boxscore

Sat, Jun 20

Wolverines

(SO)

Devils

Boxscore

Mon, Jun 22

Wolverines

(OT)

Vipers

Boxscore

Tue, Jun 23

Auroras

Wolverines

Boxscore

Thu, Jun 25

Wolverines

(OT)

Stingers

Boxscore

Sat, Jun 27

Spartans

Wolverines

Boxscore

Mon, Jun 29

Wolverines

(OT)

Jacks

Boxscore

Wed, Jul 1

Wolverines

(OT)

Hornets

Boxscore

Fri, Jul 3

Wolverines

Rock

Boxscore

Sat, Jul 4

Phantoms

Wolverines

Boxscore

Mon, Jul 6

Northmen

Wolverines

Boxscore

Wed, Jul 8

Vipers

Wolverines

Boxscore

Thu, Jul 9

Drillers

(OT)

Wolverines

Boxscore

Sat, Jul 11

Wolverines

Yeti

Boxscore

Mon, Jul 13

Wolverines

Auroras

Boxscore

Tue, Jul 14

Comets

Wolverines

Boxscore

Thu, Jul 16

Phantoms

Wolverines

Boxscore

Sat, Jul 18

Wolfpack

Wolverines

Boxscore

Mon, Jul 20

Rock

Wolverines

Boxscore

Wed, Jul 22

Wolverines

Wolfpack

Boxscore

Fri, Jul 24

Hornets

Wolverines

Boxscore

Sat, Jul 25

Wolverines

Hydra

Boxscore

Mon, Jul 27

Jacks

(SO)

Wolverines

Boxscore

Wed, Jul 29

Bulldogs

Wolverines

Boxscore

Thu, Jul 30

Yeti

Wolverines

Boxscore

Sat, Aug 1

Wolverines

Guppies

Boxscore

Mon, Aug 3

Wolverines

(SO)

Hornets

Boxscore

Tue, Aug 4

Wolverines

Devils

Boxscore

Thu, Aug 6

Crusaders

Wolverines

Boxscore

Sat, Aug 8

Wolverines

Drillers

Mon, Aug 10

Hornets

Wolverines

Wed, Aug 12

Stingers

Wolverines

Thu, Aug 13

Wolverines

Spartans

Sat, Aug 15

Vipers

Wolverines

Mon, Aug 17

Wolverines

Rampage

Wed, Aug 19

Wolverines

Jacks

Fri, Aug 21

Yeti

Wolverines

Sat, Aug 22

Drillers

Wolverines

Mon, Aug 24

Wolverines

Crusaders

Tue, Aug 25

Swamp Puppies

Wolverines

Thu, Aug 27

Wolverines

Jazz

Sat, Aug 29

Devils

Wolverines

Mon, Aug 31

Wolverines

Phantoms

Wed, Sep 2

Wolverines

Schooners

Thu, Sep 3

Wolverines

Yeti

Sat, Sep 5

Wolverines

Auroras

Mon, Sep 7

Wolverines

Wild Wings

Thu, Sep 10

Wolverines

Bulldogs

Sat, Sep 12

Wolverines

Kings

Mon, Sep 14

Wolverines

Comets

Wed, Sep 16

Jazz

Wolverines

Thu, Sep 17

Wolverines

Swamp Puppies

Sat, Sep 19

Jacks

Wolverines

Mon, Sep 21

Wolverines

Drillers

Tue, Sep 22

Wolverines

Yeti

Fri, Sep 25

Yeti

Wolverines

Sat, Sep 26

Wolfpack

Wolverines

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

Mon, Sep 28

Rampage

Wolverines

Tue, Sep 29

Drillers

Wolverines

Fri, Oct 2

Wolverines

Auroras

Sat, Oct 3

Schooners

Wolverines

Mon, Oct 5

Kings

Wolverines

Tue, Oct 6

Wolverines

Jacks

Sat, Oct 10

Yeti

Wolverines

Mon, Oct 12

Wolverines

Outlaws

Thu, Oct 15

Auroras

Wolverines

Sat, Oct 17

Wolverines

Drillers

Mon, Oct 19

Jacks

Wolverines

Tue, Oct 20

Guppies

Wolverines

Thu, Oct 22

Wolverines

Northmen

Sat, Oct 24

Drillers

Wolverines

Mon, Oct 26

Outlaws

Wolverines

Tue, Oct 27

Wolverines

Guppies

Thu, Oct 29

Auroras

Wolverines

Sat, Oct 31

Wolverines

Auroras

Mon, Nov 2

Wild Wings

Wolverines

Tue, Nov 3

Wolverines

Yeti

Thu, Nov 5

Wolverines

Jacks

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,188,347$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	3000	2000
Ticket Price	35$	15$	$	$	$
Attendance	47173	31018
Attendance PCT	92.50%	91.23%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
23	4599 - 91.99%	161,837$	2,751,224$	5000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,188,347$	3,188,347$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,428,175$	3,188,347$	1,139,740$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,722,244$	94	27,132$	2,550,408$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
2,550,408$	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

Pavlo Benard is out for 3 days because of a Sprained Left Ankle Injury.

Team History

Game Center

Wolverines10-15-6, 26pts

34Final

Devils22-6-2, 46pts

Crusaders14-15-2, 30pts

31Final

Wolverines10-15-6, 26pts

Sat, Aug 08

Drillers18-10-3, 39pts

Hornets16-12-2, 34pts

Mon, Aug 10

Wolverines10-15-6, 26pts

TRANSACTIONS

Team Info


	Head Coach	Wolf-Dieter Niemeyer
	Division	Northwest
	City	Kamloops
	Stadium Capacity	5,000

Wolverines Affiliation


	General Manager	Alexandre Bouchard
	Head Coach	Julian Trudel
	Stadium	Olympus Center
	Capacity	18,000

Team Jerseys


Home	Away	Alternate

Team Leaders

GOALS Jochen Sieger Wolverines	19 GOALS
POINTS Jochen Sieger Wolverines	38 POINTS
WINS Daulton Gammond Wolverines	5 WINS
Expanded Player Leaderboard

Team Stats

Goals For 87 2.81 GFG	Goals Against 98 3.16 GAA
Power Play Percentage 24.7% 18 GF	Penalty Kill Percentage 70.1% 23 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain	Alternate Captain	Alternate Captain
Jochen Sieger	Jayce Petrie

Back to the Top

GM: Alexandre Bouchard Season 5 GM of the year	League Rank:24th	Arena: Kamloops Arena
Conference: Western Conference	Conference Rank:12nd	Capacity:5,000
Division: Northwest	Division Rank:5th	Total Player Salaries:3,188,347$
Captain: Jochen Sieger	Last 10: 3-5-0
Coach: Wolf-Dieter Niemeyer	Home: 6-8-2
All-Time Record: 197 W - 164 L - 39 OTL	Away: 1-7-4