Ligue de Hockey Virtuelle de l'Outaouais

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Joey Anderson (C)	0	LW/RW	100.00	64	40	82	73	82	83	76	68	43	65	62	69	68	76	66	1	50	68	27	1,600,000$/2yrs
Justin Brazeau	0	RW	100.00	77	40	84	68	84	76	73	71	48	67	67	70	69	56	50	1	50	68	27	1,250,000$/2yrs
Mitchell Chaffee (A)	0	RW	100.00	77	43	83	74	79	80	76	70	46	64	68	67	71	62	53	1	50	68	27	1,500,000$/3yrs
Akil Thomas	0	C/RW	100.00	66	44	76	72	73	74	66	65	49	61	61	62	66	56	50	1	50	63	25	1,100,000$/3yrs
Cam Lund	0	C	100.00	56	40	69	68	75	74	59	64	43	60	61	59	64	51	50	1	50	61	21	1,000,000$/2yrs
Reese Johnson	0	C	100.00	68	54	67	66	70	73	71	63	51	58	56	60	62	65	52	1	50	61	26	1,500,000$/3yrs
Egor Sokolov	0	LW	100.00	61	43	69	61	72	68	67	65	44	63	62	53	63	53	50	1	50	61	25	1,000,000$/4yrs
Mike Hardman	0	LW	100.00	63	41	72	64	66	67	66	63	44	60	60	60	63	54	50	1	50	60	26	1,000,000$/4yrs
Lucas Condotta	0	C/LW	100.00	63	49	62	62	66	68	67	62	42	61	53	61	59	55	51	1	50	60	27	1,000,000$/2yrs
Drew Helleson	0	D	100.00	71	51	67	71	79	77	72	69	40	65	63	71	68	56	50	1	50	68	24	1,500,000$/4yrs
Emil Andrae	0	D	100.00	64	42	76	75	70	77	68	67	40	64	60	70	67	55	50	1	50	66	23	975,000$/1yrs
Derrick Pouliot (A)	0	D	100.00	59	44	66	66	63	73	71	66	40	66	57	69	63	65	55	1	50	64	31	1,500,000$/4yrs
Roland McKeown	0	D	100.00	61	44	65	69	63	70	69	66	40	62	62	68	66	59	52	1	50	64	29	1,500,000$/1yrs
Zach Metsa	0	D	100.00	61	41	72	71	61	67	65	65	40	64	57	69	64	53	50	1	50	63	26	975,000$/3yrs
Lucas Carlsson	0	D	100.00	58	43	68	71	62	67	66	65	40	60	64	67	67	55	50	1	50	63	27	1,500,000$/3yrs
William Villeneuve	0	D	100.00	64	44	66	71	64	64	62	63	40	64	54	69	63	51	50	1	50	63	23	975,000$/1yrs
Antti Tuomisto	0	D	100.00	65	44	66	65	69	65	63	63	40	61	55	67	61	52	50	1	50	62	24	975,000$/2yrs
Max Crozier	0	D	100.00	63	47	61	69	64	65	63	63	40	61	58	68	63	53	50	1	50	62	25	975,000$/1yrs
Scratches
Ryan Suzuki	0	C	100.00	55	42	71	64	63	65	63	64	63	64	56	51	61	52	50	1	50	59	24	975,000$/1yrs
Owen Sillinger	0	C	100.00	54	45	68	66	57	68	66	62	45	62	56	54	62	55	50	1	50	59	27	1,000,000$/2yrs
Tristan Allard	0	C	100.00	64	43	66	64	66	64	62	59	57	56	53	60	59	51	50	1	50	58	23	975,000$/3yrs
Jalen Luypen	0	C	100.00	55	42	71	66	55	64	63	59	42	55	54	55	60	51	50	1	50	57	23	975,000$/2yrs
Taylor Makar (R)	0	LW	100.00	62	40	62	58	65	60	58	55	40	53	54	56	55	51	50	1	50	56	24	975,000$/3yrs
Scott Reedy	0	C/LW/RW	100.00	63	41	71	60	67	64	61	56	41	52	52	57	56	54	50	1	50	56	26	1,250,000$/1yrs
Artem Shlaine (R)	0	C/LW/RW	100.00	57	40	66	62	58	59	57	55	40	54	53	55	57	51	50	1	50	55	23	975,000$/3yrs
Max McCue (R)	0	C	100.00	55	55	54	61	60	61	60	57	40	54	54	54	57	50	50	1	50	55	22	975,000$/3yrs
Nathan Aspinall (R)	0	C/LW/RW	100.00	62	40	66	58	64	55	53	54	40	53	53	55	55	50	50	1	50	55	19	975,000$/3yrs
Marshall Rifai	0	D	100.00	63	51	59	65	64	68	67	62	40	57	54	67	60	55	50	1	50	61	27	1,000,000$/2yrs
Wyatt Newpower	0	D	100.00	62	47	62	62	68	66	63	59	40	53	53	63	57	55	50	1	50	60	27	1,000,000$/3yrs
David Reinbacher	0	D	100.00	65	41	69	65	65	55	51	56	40	52	54	66	58	50	50	1	50	59	20	975,000$/2yrs
Jack Matier	0	D	100.00	65	41	70	63	67	60	57	56	40	53	52	64	57	50	50	1	50	59	22	975,000$/2yrs
Luke Reid (R)	0	D	100.00	60	40	62	62	62	59	57	55	40	54	53	61	57	51	50	1	50	58	23	975,000$/3yrs

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
Ilya Samsonov	0	100.00	84	86	87	86	90	85	82	82	82	87	78	72	65	1	50	77	28	3,300,000$/1yrs
Remi Poirier	0	100.00	71	62	66	67	69	70	73	70	71	68	58	51	50	1	50	63	23	975,000$/1yrs
Scratches
Erik Portillo	0	100.00	69	63	65	73	69	69	71	68	69	68	60	52	50	1	50	63	24	975,000$/2yrs
Aleksei Kolosov	0	100.00	72	67	66	72	70	68	64	64	69	69	65	52	50	1	50	62	23	1,000,000$/2yrs
Jaxson Stauber	0	100.00	73	63	64	61	67	67	69	66	68	68	55	54	50	1	50	61	26	975,000$/1yrs
Talyn Boyko	0	100.00	62	57	57	67	62	61	62	59	62	60	54	50	50	1	50	56	22	975,000$/3yrs
Tristan Lennox	0	100.00	59	57	57	64	59	57	56	54	58	59	54	50	50	1	50	53	22	975,000$/3yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bob Boughner	78	72	70	78	62	58	1	CAN	54	1	500,000$

General Manager

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	MP	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	EG	HT	P/GP	PSG	PSS	GSAVG
1	Mitchell Chaffee	Silver Knights (GKV)	RW	46	24	24	48	-7	13	5	51	132	43	70	18.18%	15	23.78	8	5	13	2	2	4	65	4	4	45.93%	1	1	1.04	1	6	0.90
2	Joey Anderson	Silver Knights (GKV)	LW/RW	46	17	17	34	-11	6	0	74	126	38	80	13.49%	26	24.86	4	4	8	1	2	3	69	3	2	42.56%	0	1	0.74	1	6	0.69
3	Akil Thomas	Silver Knights (GKV)	C/RW	46	9	19	28	-10	8	0	76	54	24	28	16.67%	9	21.90	0	11	11	0	0	0	33	1	1	48.31%	1	0	0.61	0	1	0.43
4	Justin Brazeau	Silver Knights (GKV)	RW	46	14	11	25	-7	7	5	60	84	32	51	16.67%	12	21.50	4	4	8	0	0	0	30	2	1	53.33%	0	0	0.54	1	4	0.49
5	Reese Johnson	Silver Knights (GKV)	C	46	7	15	22	0	23	5	79	49	8	26	14.29%	16	20.04	1	6	7	0	0	0	1	2	0	48.56%	0	0	0.48	0	0	0.35
6	Emil Andrae	Silver Knights (GKV)	D	46	4	15	19	-8	20	10	35	48	22	26	8.33%	41	25.07	1	2	3	0	1	1	73	0	0	0.00%	1	0	0.41	0	0	0.26
7	Drew Helleson	Silver Knights (GKV)	D	46	2	14	16	-12	65	35	63	51	17	20	3.92%	48	25.59	2	4	6	0	0	0	68	0	0	0.00%	0	0	0.35	0	0	0.03
8	Egor Sokolov	Silver Knights (GKV)	LW	46	4	8	12	-6	27	15	56	48	16	46	8.33%	18	19.89	1	1	2	0	0	0	23	0	0	48.39%	0	0	0.26	0	0	0.16
9	Derrick Pouliot	Silver Knights (GKV)	D	46	2	6	8	-1	16	0	26	18	12	2	11.11%	36	21.32	2	1	3	0	0	0	52	1	0	0.00%	0	0	0.17	0	0	0.10
10	Cam Lund	Silver Knights (GKV)	C	39	4	4	8	-3	6	0	37	23	8	17	17.39%	3	11.54	1	0	1	0	0	0	17	2	1	42.96%	0	0	0.21	0	0	0.15
11	Roland McKeown	Silver Knights (GKV)	D	46	1	7	8	-2	31	5	42	22	3	11	4.55%	32	20.47	1	0	1	0	1	1	45	0	0	0.00%	0	0	0.17	0	0	0.05
12	William Villeneuve	Silver Knights (GKV)	D	46	0	5	5	-9	21	5	23	12	2	1	0.00%	28	14.80	0	1	1	0	0	0	0	0	0	0.00%	0	0	0.11	0	0	-0.03
13	Lucas Carlsson	Silver Knights (GKV)	D	41	0	3	3	-5	6	0	8	5	5	4	0.00%	6	11.98	0	0	0	0	0	0	17	0	0	0.00%	0	0	0.07	0	0	-0.01
14	Mike Hardman	Silver Knights (GKV)	LW	46	1	1	2	0	4	0	15	11	4	6	9.09%	1	6.81	0	0	0	0	0	0	3	1	0	33.33%	0	0	0.04	0	0	0.04
15	Antti Tuomisto	Silver Knights (GKV)	D	30	0	1	1	-4	2	0	29	4	2	4	0.00%	4	12.09	0	0	0	0	0	0	8	0	0	25.00%	0	0	0.03	0	0	-0.01
16	Zach Metsa	Silver Knights (GKV)	D	46	0	1	1	-2	2	0	13	2	0	0	0.00%	2	4.16	0	0	0	0	0	0	2	0	0	0.00%	0	0	0.02	0	0	-0.00
17	Ryan Suzuki	Silver Knights (GKV)	C	5	0	0	0	1	0	0	1	0	0	0	0.00%	0	1.83	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0.07
18	Lucas Condotta	Silver Knights (GKV)	C/LW	28	0	0	0	-8	8	0	20	4	2	5	0.00%	4	7.40	0	0	0	0	0	0	0	0	0	53.45%	0	0	0.00	0	0	-0.12
19	Max Crozier	Silver Knights (GKV)	D	23	0	0	0	-1	0	0	0	0	0	0	0.00%	1	0.82	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	-0.01
Team Total or Average			764	89	151	240	-95	265	85	708	693	238	397	12.84%	302	17.08	25	39	64	778	3	6	9	512	16	9	47.15%	1877	177	240	3	2	0.37	3	17

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	Remi Poirier	Silver Knights (GKV)	26	10	8	7	0.895	2.18	1540	0	5	56	533	270	0	1	0.462	13	25	12	4	1	0
2	Ilya Samsonov	Silver Knights (GKV)	17	7	10	0	0.880	2.41	972	0	1	39	326	138	0	1	0.000	0	17	0	1	1	1
3	Erik Portillo	Silver Knights (GKV)	5	1	2	1	0.894	3.21	280	0	0	15	142	82	0	0	1.000	2	4	30	1	1	0
Team Total or Average		48	18	20	8	0.890	2.36	2793	0	6	110	1001	490	0	2	0.533	15	46	42	6	3	1

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22
Akil Thomas	C/RW	25	1,100,000$	1,100,000$	1,100,000$	1,100,000$	UFA
Aleksei Kolosov	G	23	1,000,000$	1,000,000$	1,000,000$	RFA
Antti Tuomisto	D	24	975,000$	975,000$	975,000$	RFA
Artem Shlaine	C/LW/RW	23	975,000$	975,000$	975,000$	975,000$	RFA
Cam Lund	C	21	1,000,000$	1,000,000$	1,000,000$	RFA
David Reinbacher	D	20	975,000$	975,000$	975,000$	RFA
Derrick Pouliot	D	31	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Drew Helleson	D	24	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Egor Sokolov	LW	25	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Emil Andrae	D	23	975,000$	975,000$	RFA
Erik Portillo	G	24	975,000$	975,000$	975,000$	RFA
Ilya Samsonov	G	28	3,300,000$	3,300,000$	UFA
Jack Matier	D	22	975,000$	975,000$	975,000$	RFA
Jalen Luypen	C	23	975,000$	975,000$	975,000$	RFA
Jaxson Stauber	G	26	975,000$	975,000$	RFA
Joey Anderson	LW/RW	27	1,600,000$	1,600,000$	1,600,000$	UFA
Justin Brazeau	RW	27	1,250,000$	1,250,000$	1,250,000$	UFA
Lucas Carlsson	D	27	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Lucas Condotta	C/LW	27	1,000,000$	1,000,000$	1,000,000$	UFA
Luke Reid	D	23	975,000$	975,000$	975,000$	975,000$	RFA
Marshall Rifai	D	27	1,000,000$	1,000,000$	1,000,000$	UFA
Max Crozier	D	25	975,000$	975,000$	RFA
Max McCue	C	22	975,000$	975,000$	975,000$	975,000$	RFA
Mike Hardman	LW	26	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Mitchell Chaffee	RW	27	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Nathan Aspinall	C/LW/RW	19	975,000$	975,000$	975,000$	975,000$	RFA
Owen Sillinger	C	27	1,000,000$	1,000,000$	1,000,000$	UFA
Reese Johnson	C	26	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Remi Poirier	G	23	975,000$	975,000$	RFA
Roland McKeown	D	29	1,500,000$	1,500,000$	UFA
Ryan Suzuki	C	24	975,000$	975,000$	RFA
Scott Reedy	C/LW/RW	26	1,250,000$	1,250,000$	RFA
Talyn Boyko	G	22	975,000$	975,000$	975,000$	975,000$	RFA
Taylor Makar	LW	24	975,000$	975,000$	975,000$	975,000$	RFA
Tristan Allard	C	23	975,000$	975,000$	975,000$	975,000$	RFA
Tristan Lennox	G	22	975,000$	975,000$	975,000$	975,000$	RFA
William Villeneuve	D	23	975,000$	975,000$	RFA
Wyatt Newpower	D	27	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Zach Metsa	D	26	975,000$	975,000$	975,000$	975,000$	UFA

Lines

Forward Lines
# - Joey Anderson	# - Akil Thomas	# - Mitchell Chaffee
# - Joey Anderson	# - Reese Johnson	# - Justin Brazeau
# - Justin Brazeau	# - Mitchell Chaffee	# - Joey Anderson
# - Justin Brazeau	# - Joey Anderson	# - Mitchell Chaffee

Defensive Pairings
# - Drew Helleson	# - Emil Andrae
# - Derrick Pouliot	# - Roland McKeown
# - William Villeneuve	# - Drew Helleson

1st Power Play Unit
# - Joey Anderson		# - Akil Thomas		# - Mitchell Chaffee
# - Drew Helleson			# - Emil Andrae

2nd Power Play Unit
# - Joey Anderson		# - Reese Johnson		# - Justin Brazeau
# - Derrick Pouliot			# - Roland McKeown

Goalies
# - Ilya Samsonov		# - Remi Poirier

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	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	Gulls	1	0	0	0	1	0	0	1	2	-1	1	0.500	1	2	3	0	0	13	20	57	5	16	134	220	351	28	9	3	4	19	1	0	0.00%	2	0	100.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	33.3%	6.3%	77.8%	84.0	Unlucky
2	Moose	4	3	1	0	0	0	0	13	8	5	6	0.750	13	20	33	0	1	13	20	57	5	47	134	220	351	28	75	25	27	69	10	6	60.00%	11	4	63.64%	1	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	63.6%	27.7%	89.3%	117.0	FUN
3	Bruins	2	1	1	0	0	0	0	7	7	0	2	0.500	7	11	18	0	0	13	20	57	5	37	134	220	351	28	64	17	17	34	8	2	25.00%	6	1	83.33%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	45.5%	18.9%	89.1%	108.0	FUN
4	Americans	2	2	0	0	0	0	0	4	2	2	4	1.000	4	5	9	0	1	13	20	57	5	22	134	220	351	28	42	12	6	33	4	1	25.00%	3	0	100.00%	1	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	60.0%	18.2%	95.2%	113.4	LUCKY
5	Heat	1	1	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	13	20	57	5	15	134	220	351	28	8	2	4	14	1	1	100.00%	2	1	50.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	100.0%	20.0%	87.5%	107.5	FUN
6	Wolves	1	0	0	1	0	0	0	2	1	1	2	1.000	2	3	5	0	0	13	20	57	5	14	134	220	351	28	33	11	2	20	4	0	0.00%	1	0	100.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	66.7%	14.3%	97.0%	111.3	LUCKY
7	IceHogs	3	0	2	0	0	0	1	5	10	-5	1	0.167	5	8	13	0	0	13	20	57	5	60	134	220	351	28	90	35	31	41	8	1	12.50%	13	3	76.92%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	36.4%	8.3%	88.9%	97.2	Unlucky
8	Stars	4	0	2	0	0	0	2	5	11	-6	2	0.250	5	9	14	1	0	13	20	57	5	38	134	220	351	28	35	6	6	77	6	3	50.00%	3	2	33.33%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	18.2%	13.2%	68.6%	81.7	FUN
9	Griffins	3	0	2	1	0	0	0	4	9	-5	2	0.333	4	7	11	0	0	13	20	57	5	47	134	220	351	28	109	47	25	43	7	1	14.29%	10	2	80.00%	1	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	30.0%	8.5%	91.7%	100.3	DULL
10	Condors	2	0	2	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	13	20	57	5	34	134	220	351	28	34	6	6	34	2	0	0.00%	3	0	100.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	20.0%	2.9%	88.2%	91.2	Unlucky
11	Reign	1	1	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	13	20	57	5	17	134	220	351	28	17	9	0	11	3	1	33.33%	0	0	0.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	66.7%	17.6%	94.1%	111.8	LUCKY
12	Wild	3	1	2	0	0	0	0	2	5	-3	2	0.333	2	3	5	0	1	13	20	57	5	31	134	220	351	28	36	6	11	51	4	0	0.00%	3	2	33.33%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	40.0%	6.5%	86.1%	92.6	Unlucky
13	Comets	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	2	3	1	0	13	20	57	5	13	134	220	351	28	8	3	6	22	2	0	0.00%	3	2	33.33%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	50.0%	7.7%	62.5%	70.2	Unlucky
14	Islanders	2	1	1	0	0	0	0	3	3	0	2	0.500	3	5	8	0	1	13	20	57	5	34	134	220	351	28	25	10	8	26	4	1	25.00%	4	1	75.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	50.0%	8.8%	88.0%	96.8	Unlucky
15	Belleville Senators	3	1	1	0	0	1	0	11	10	1	4	0.667	11	19	30	0	0	13	20	57	5	59	134	220	351	28	81	34	22	54	6	3	50.00%	6	1	83.33%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	47.1%	18.6%	87.7%	106.3	FUN
16	Phantoms	2	0	1	0	0	0	1	5	10	-5	1	0.250	5	9	14	0	0	13	20	57	5	24	134	220	351	28	35	11	13	34	3	0	0.00%	4	1	75.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	35.7%	20.8%	71.4%	92.3	FUN
17	Penguins	1	0	1	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	13	20	57	5	23	134	220	351	28	35	13	12	9	2	0	0.00%	1	0	100.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	40.0%	8.7%	91.4%	100.1	DULL
18	Barracuda	2	0	1	0	0	0	1	0	6	-6	1	0.250	0	0	0	0	0	13	20	57	5	25	134	220	351	28	37	10	24	32	3	0	0.00%	7	1	85.71%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	0.0%	0.0%	83.8%	83.8	Unlucky
19	Thunderbirds	2	1	0	0	1	0	0	6	6	0	3	0.750	6	10	16	0	0	13	20	57	5	54	134	220	351	28	82	16	16	22	6	1	16.67%	3	2	33.33%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	55.6%	11.1%	92.7%	103.8	LUCKY
20	Crunch	1	1	0	0	0	0	0	4	2	2	2	1.000	4	6	10	0	0	13	20	57	5	18	134	220	351	28	13	1	2	22	1	0	0.00%	1	0	100.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	66.7%	22.2%	84.6%	106.8	FUN
21	Marlies	1	0	1	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	13	20	57	5	18	134	220	351	28	36	11	0	19	3	1	33.33%	0	0	0.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	0.0%	5.6%	88.9%	94.4	Unlucky
22	Canucks	1	1	0	0	0	0	0	4	2	2	2	1.000	4	6	10	0	0	13	20	57	5	16	134	220	351	28	27	6	0	18	1	0	0.00%	0	0	0.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	66.7%	25.0%	92.6%	117.6	LUCKY
23	Hershey Bears	1	0	0	0	1	0	0	3	4	-1	1	0.500	3	6	9	0	0	13	20	57	5	16	134	220	351	28	25	7	2	13	2	1	50.00%	1	0	100.00%	0	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	33.3%	18.8%	84.0%	102.8	FUN
24	Checkers 2	2	1	1	0	0	0	0	3	3	0	2	0.500	3	4	7	0	0	13	20	57	5	38	134	220	351	28	47	17	31	37	7	1	14.29%	3	1	66.67%	1	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	50.0%	7.9%	93.6%	101.5	DULL
	_Vs Division	10	5	9	1	1	0	3	15	19	-4	16	0.800	15	25	40	0	0	13	20	57	5	161	134	220	351	28	179	53	69	165	18	3	16.67%	17	3	82.35%	1	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	42.9%	9.3%	89.4%	98.7	FUN
	_Vs Conference	28	8	13	1	2	0	4	46	66	-20	24	0.429	46	76	122	1	2	13	20	57	5	422	134	220	351	28	579	182	185	450	58	15	25.86%	60	18	70.00%	3	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	39.2%	10.9%	88.6%	99.5	FUN
	_Since Last GM Reset	46	15	20	2	3	1	5	93	117	-24	44	0.478	93	154	247	2	4	13	20	57	5	716	134	220	351	28	1003	318	275	754	98	24	24.49%	90	24	73.33%	4	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	42.6%	13.0%	88.3%	101.3	FUN
	Total	46	15	20	2	3	1	5	93	117	-24	44	0.478	93	154	247	2	4	13	20	57	5	716	134	220	351	28	1003	318	275	754	98	24	24.49%	90	24	73.33%	4	315	621	50.72%	357	759	47.04%	209	467	44.75%	797	285	875	486	1126	595	42.6%	13.0%	88.3%	101.3	FUN

	Puck Time
Offensive Zone	17
Neutral Zone	24
Defensive Zone	19

	Puck Time
Offensive Zone Start	621
Neutral Zone Start	467
Defensive Zone Start	759

	Puck Time
With Puck	29
Without Puck	31

	Faceoffs
Faceoffs Won	881
Faceoffs Lost	966

	Team Average Shots after	League Average Shots after
1st Period	2.9	9.57
2nd Period	7.7	20.31
3rd Period	15.3	30.68
Overtime	15.9	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.3	0.64
2nd Period	0.7	1.65
3rd Period	2.0	2.67
Overtime	2.1	2.83


Even Strenght Goal	63
PP Goal	24
PK Goal	4
Empty Net Goal	2

	Home	Away
Win	10	8
Lost	11	9
Overtime Lost	3	5


PP Attempt	98
PP Goal	24
PK Attempt	90
PK Goal Against	24

	Home
Shots For	15.6
Shots Against	21.8
Goals For	2.0
Goals Against	2.5
Hits	16.4
Shots Blocked	6.9
Pim	6.0

Schedule

Date	Matchup			Result	Detail
Thu, Oct 9	OTT	@	CHI	OTT2,CHI6	RECAP
Sat, Oct 11	STL	@	CHI	STL3,CHI4	RECAP
Mon, Oct 13	CHI	@	DAL	CHI1,DAL2 (SO)	RECAP
Wed, Oct 15	CHI	@	DET	CHI3,DET2 (OT)	RECAP
Fri, Oct 17	CHI	@	WPG	CHI2,WPG3	RECAP
Sun, Oct 19	WPG	@	CHI	WPG3,CHI5	RECAP
Tue, Oct 21	CHI	@	CHI	CHI3,CHI4 (SO)	RECAP
Wed, Oct 22	DET	@	CHI	DET5,CHI1	RECAP
Fri, Oct 24	CHI	@	OTT	CHI2,OTT1 (SO)	RECAP
Mon, Oct 27	CHI	@	STL	CHI2,STL3 (OT)	RECAP
Tue, Oct 28	MIN	@	CHI	MIN3,CHI1	RECAP
Fri, Oct 31	CHI	@	CHI	CHI4,CHI1	RECAP
Sat, Nov 1	CHI	@	BOS	CHI3,BOS5	RECAP
Sun, Nov 2	CHI	@	BUF	CHI1,BUF0	RECAP
Wed, Nov 5	OTT	@	CHI	OTT7,CHI3	RECAP
Sat, Nov 8	DAL	@	CHI	DAL1,CHI0 (SO)	RECAP
Mon, Nov 10	CHI	@	NYI	CHI1,NYI0	RECAP
Tue, Nov 11	WAS	@	CHI	WAS4,CHI3 (OT)	RECAP
Thu, Nov 13	CHI	@	S J	CHI0,S J1 (SO)	RECAP
Fri, Nov 14	CHI	@	VAN	CHI4,VAN2	RECAP
Sun, Nov 16	NJD	@	CHI	NJD3,CHI1	RECAP
Tue, Nov 18	LOS	@	CHI	LOS1,CHI3	RECAP
Fri, Nov 21	ANA	@	CHI	ANA2,CHI1 (OT)	RECAP
Sun, Nov 23	CHI	@	TOR	CHI1,TOR4	RECAP
Tue, Nov 25	CHI	@	PHI	CHI2,PHI3 (SO)	RECAP
Wed, Nov 26	CHI	@	EDM	CHI0,EDM1	RECAP
Fri, Nov 28	MIN	@	CHI	MIN0,CHI1	RECAP
Mon, Dec 1	SEA	@	CHI	SEA2,CHI3	RECAP
Tue, Dec 2	CHI	@	CHI	CHI1,CHI2	RECAP
Thu, Dec 4	CHI	@	DAL	CHI4,DAL5	RECAP
Sat, Dec 6	PHI	@	CHI	PHI7,CHI3	RECAP
Tue, Dec 9	CHI	@	PIT	CHI2,PIT3	RECAP
Thu, Dec 11	NYI	@	CHI	NYI3,CHI2	RECAP
Sat, Dec 13	TAM	@	CHI	TAM2,CHI4	RECAP
Mon, Dec 15	CHI	@	CAR	CHI2,CAR1 (OT)	RECAP
Wed, Dec 17	CHI	@	WPG	CHI4,WPG2	RECAP
Thu, Dec 18	BOS	@	CHI	BOS2,CHI4	RECAP
Sun, Dec 21	BUF	@	CHI	BUF2,CHI3	RECAP
Wed, Dec 24	CHI	@	SEA	CHI0,SEA1	RECAP
Fri, Dec 26	S J	@	CHI	S J5,CHI0	RECAP
Tue, Dec 30	WPG	@	CHI	WPG0,CHI2	RECAP
Fri, Jan 2	DET	@	CHI	DET2,CHI0	RECAP
Sun, Jan 4	CHI	@	CAL	CHI3,CAL1	RECAP
Tue, Jan 6	EDM	@	CHI	EDM3,CHI1	RECAP
Thu, Jan 8	CHI	@	MIN	CHI0,MIN2	RECAP
Sat, Jan 10	DAL	@	CHI	DAL3,CHI0	RECAP
Mon, Jan 12	CHI	@	LOS
Wed, Jan 14	MTL	@	CHI
Fri, Jan 16	CHI	@	OTT
Sun, Jan 18	CAL	@	CHI
Tue, Jan 20	CHI	@	COL
Thu, Jan 22	CAR	@	CHI
Sat, Jan 24	CHI	@	BUF
Sun, Jan 25	CHI	@	CHI
Wed, Jan 28	CHI	@	STL
Fri, Jan 30	STL	@	CHI
Sun, Feb 1	CHI	@	ANA
Tue, Feb 3	PHO	@	CHI
Thu, Feb 5	CHI	@	DET
Fri, Feb 6	CHI	@	MIN
Sun, Feb 8	OTT	@	CHI
Tue, Feb 10	COL	@	CHI
Thu, Feb 12	CHI	@	PHO
Sun, Feb 15	PHO	@	CHI
Tue, Feb 17	CHI	@	NJD
Wed, Feb 18	NAS	@	CHI
Fri, Feb 20	CHI	@	NYR
Sun, Feb 22	CLB	@	CHI
Mon, Feb 23	CHI	@	CLB
Thu, Feb 26	CHI	@	NAS
Fri, Feb 27	NAS	@	CHI
Mon, Mar 2	CHI	@	NAS
Tue, Mar 3	FLO	@	CHI
Fri, Mar 6	CHI	@	BOS
Sat, Mar 7	CHI	@	TAM
Sun, Mar 8	NYR	@	CHI
Trade Deadline --- Trades can�t be done after this day is simulated!
Wed, Mar 11	VAN	@	CHI
Thu, Mar 12	CHI	@	MTL
Mon, Mar 16	TOR	@	CHI
Thu, Mar 19	CHI	@	WAS
Sat, Mar 21	PIT	@	CHI
Sun, Mar 22	CHI	@	FLO

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
4,500,000$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Henderson
	Capacity	3000
	Season Ticket Holders	10%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
17	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
4,500,000$	4,500,000$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,970,420$	0$	2,686,367$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	96	29,586$	2,159,778$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
2,159,778$	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

No Injury or Suspension.

Game Center

Silver Knights18-20-8, 44pts

02Final

Wild17-24-5, 39pts

Stars17-22-8, 42pts

30Final

Silver Knights18-20-8, 44pts

Stars17-22-8, 42pts

Sun, Jan 11

Silver Knights18-20-8, 44pts

Thunderbirds21-20-6, 48pts

Sun, Oct 12

Silver Knights18-20-8, 44pts

Tue, Oct 14

Stars17-22-8, 42pts

TRANSACTIONS

Team Info


	Head Coach	Bob Boughner
	Division	Central Division
	City	Henderson
	Stadium Capacity	3,000

Silver Knights Affiliation


	General Manager	Junior Leduc
	Head Coach	Jim Hiller
	Stadium	T-Mobile Arena
	Capacity	18,000

Team Leaders

GOALS Mitchell Chaffee Silver Knights	24 GOALS
POINTS Mitchell Chaffee Silver Knights	48 POINTS
WINS Remi Poirier Silver Knights	10 WINS
Expanded Player Leaderboard

Team Stats

Goals For 93 2.02 GFG	Goals Against 117 2.54 GAA
Power Play Percentage 24.5% 24 GF	Penalty Kill Percentage 73.3% 24 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain