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
Liam O'Brien	0	C/LW/RW	99.00	81	74	59	71	83	78	82	68	44	62	63	66	68	87	77	1	50	68	31	1,500,000$/4yrs
Zack MacEwen	0	RW	99.00	68	52	73	68	88	74	73	66	45	60	61	64	65	79	69	1	50	66	29	2,000,000$/3yrs
Brett Leason	0	RW	99.00	68	43	74	67	78	75	72	69	46	67	61	68	66	59	52	1	50	65	27	1,000,000$/1yrs
Daniel Sprong	0	RW	100.00	60	41	75	66	71	75	74	64	42	60	59	57	63	85	72	1	50	63	29	1,500,000$/4yrs
Ryan Carpenter	0	C	99.00	55	42	75	64	64	74	74	66	64	65	60	55	63	74	70	1	50	63	35	1,500,000$/3yrs
Chris Wagner	0	C	100.00	61	51	68	67	65	72	74	66	63	61	61	58	64	78	70	1	50	63	35	1,500,000$/3yrs
Walker Duehr	0	RW	99.00	66	41	77	67	74	73	70	65	42	61	61	61	65	60	52	1	50	63	28	1,500,000$/3yrs
Justin Robidas	0	C	100.00	58	41	73	72	57	64	62	66	64	64	61	62	66	51	50	1	50	62	23	1,000,000$/4yrs
Trey Fix-Wolansky	0	RW	100.00	55	56	56	69	59	70	68	68	45	64	64	55	67	55	50	1	50	62	27	1,250,000$/3yrs
Matthew Peca	0	C	100.00	53	42	72	67	58	72	71	65	64	65	59	56	64	68	64	1	50	62	33	1,000,000$/1yrs
Mike Vecchione	0	LW	99.00	52	41	66	59	56	66	65	58	42	56	55	55	57	65	55	1	50	57	33	1,250,000$/3yrs
James Malatesta	0	LW	100.00	58	51	59	66	62	64	61	61	42	54	55	54	61	51	50	1	50	57	23	975,000$/1yrs
Alex Alexeyev	0	D	99.00	64	41	73	67	78	72	65	63	40	57	56	68	62	58	52	1	50	64	26	1,500,000$/2yrs
Calle Rosen	0	D	100.00	56	42	72	70	62	73	72	67	40	64	60	68	66	65	55	1	50	64	32	1,000,000$/4yrs
Hunter Skinner	0	D	99.00	61	52	60	69	64	67	65	64	40	58	58	66	63	53	50	1	50	62	25	1,500,000$/2yrs
Nikolai Knyzhov	0	D	100.00	58	41	72	60	67	68	66	58	40	53	51	60	57	57	50	1	50	59	28	1,250,000$/3yrs
Jett Woo	0	D	100.00	60	57	55	63	65	66	64	61	40	57	53	60	59	53	50	1	50	59	25	1,000,000$/2yrs
Simon Lundmark	0	D	100.00	58	42	71	64	65	66	64	61	40	55	53	59	59	53	50	1	50	59	25	1,000,000$/3yrs
Scratches
Danila Yurov (R)	0	C/RW	100.00	70	40	77	80	72	78	71	72	60	71	69	68	73	53	50	1	50	69	22
Berkly Catton (R)	0	C/LW	100.00	62	53	74	78	74	81	71	72	67	68	66	67	72	54	50	1	50	68	20
Ivan Ryabkin (R)	0	C	100.00	63	46	60	64	65	60	60	60	53	60	60	60	60	50	50	1	50	59	19
Jack Devine (R)	0	RW	100.00	60	44	59	68	59	60	58	61	42	59	56	63	62	50	50	1	50	59	22
Vilmer Alriksson (R)	0	LW	100.00	62	45	62	60	74	62	60	60	41	60	60	60	60	50	50	1	50	59	21
Daniel Walcott	0	LW	100.00	54	44	65	64	59	70	69	58	41	52	53	54	58	65	56	1	50	57	32	1,500,000$/1yrs
Vincent Arseneau	0	LW	100.00	61	46	62	56	70	68	67	56	41	51	52	57	55	70	60	1	50	57	34	1,500,000$/3yrs
Gleb Trikozov	0	LW	100.00	61	42	67	63	64	59	57	59	41	52	53	54	58	50	50	1	50	56	21	862,500$/1yrs
Kyle Clifford	0	LW	100.00	54	43	57	54	59	61	60	53	40	51	51	55	53	70	60	1	50	55	35	1,500,000$/1yrs
Aleksandr Kisakov	0	LW	100.00	52	40	64	59	52	54	53	52	40	51	51	51	53	50	50	1	50	52	23	1,000,000$/4yrs
Tyson Jugnauth (R)	0	D	100.00	60	43	66	71	62	65	63	66	40	64	60	67	66	50	50	1	50	63	22
Luca Marrelli (R)	0	D	100.00	60	41	70	65	63	60	60	61	40	60	60	60	60	50	50	1	50	60	20
Lukas Dragicevic (R)	0	D	100.00	62	42	69	64	65	62	60	60	40	60	60	62	60	50	50	1	50	60	21
Otto Salin (R)	0	D	100.00	60	42	69	65	64	62	61	60	40	60	60	61	60	50	50	1	50	60	22
John Ludvig	0	D	100.00	60	44	63	59	64	59	55	55	40	53	52	61	54	52	50	1	50	57	25	1,000,000$/3yrs
Ludvig Jansson (R)	0	D	100.00	56	41	68	65	59	57	55	55	40	52	52	58	56	50	50	1	50	56	22
Joey Keane (R)	0	D	100.00	53	41	64	60	58	59	57	55	40	52	52	56	55	52	50	1	50	55	26	1,000,000$/4yrs
Kyle Masters	0	D	100.00	54	40	64	59	56	54	52	52	40	50	51	55	53	50	50	1	50	54	23	975,000$/1yrs
Rodwin Dionicio	0	D	100.00	55	41	57	58	58	54	52	52	40	50	52	54	53	50	50	1	50	54	22	1,000,000$/4yrs

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
Ivan Fedotov	0	100.00	75	72	74	80	75	73	73	70	74	75	72	59	52	1	50	67	29	975,000$/1yrs
Matt Murray	0	100.00	70	71	69	79	69	69	68	66	70	69	69	78	71	1	50	65	32	1,500,000$/4yrs
Scratches
Collin Delia	0	100.00	72	72	73	67	70	69	71	68	70	72	69	66	59	1	50	64	32	2,000,000$/3yrs
Tomas Suchanek	0	100.00	63	56	53	60	59	59	61	57	61	58	53	51	50	1	50	54	23	975,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ben Sexton	74	71	73	68	55	50	1	CAN	35	4	350,000$

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	PKM	GW	FO%	EG	HT	P/GP	GSAVG
1	Ryan Carpenter	Eagles (COL)	C	1	1	1	2	1	0	0	1	2	1	0	50.00%	2	20.20	0	1	1	0	0	72.73%	0	0	2.00	2.08
2	Walker Duehr	Eagles (COL)	RW	1	0	2	2	1	0	0	2	2	0	5	0.00%	0	22.68	0	1	1	1	0	30.00%	0	0	2.00	1.82
3	Alex Alexeyev	Eagles (COL)	D	1	0	1	1	0	0	0	0	4	0	1	0.00%	3	26.15	0	1	1	1	0	0.00%	0	0	1.00	1.08
4	Brett Leason	Eagles (COL)	RW	1	0	1	1	0	0	0	2	1	2	0	0.00%	1	22.48	0	0	0	1	0	50.00%	0	0	1.00	0.88
5	Liam O'Brien	Eagles (COL)	C/LW/RW	1	1	0	1	0	0	0	2	3	1	1	33.33%	0	19.62	0	0	0	0	0	0.00%	0	0	1.00	1.00
6	Zack MacEwen	Eagles (COL)	RW	1	1	0	1	1	0	0	1	2	0	1	50.00%	2	18.57	1	0	1	0	1	0.00%	0	0	1.00	1.38
7	Hunter Skinner	Eagles (COL)	D	1	1	0	1	2	0	0	1	2	0	0	50.00%	1	23.45	1	0	1	0	0	0.00%	0	0	1.00	1.65
8	Jett Woo	Eagles (COL)	D	1	0	1	1	1	0	0	1	0	0	1	0.00%	1	21.50	0	0	0	1	0	0.00%	0	0	1.00	1.08
9	Mike Vecchione	Eagles (COL)	LW	1	0	0	0	1	0	0	1	0	0	0	0.00%	0	18.15	0	0	0	0	0	0.00%	0	0	0.00	0.35
10	James Malatesta	Eagles (COL)	LW	1	0	0	0	0	0	0	2	1	0	0	0.00%	0	12.97	0	0	0	0	0	0.00%	0	0	0.00	0.13
11	Calle Rosen	Eagles (COL)	D	1	0	0	0	0	2	0	0	0	0	0	0.00%	2	21.18	0	0	0	0	0	0.00%	0	0	0.00	-0.28
12	Daniel Sprong	Eagles (COL)	RW	1	0	0	0	0	0	0	0	1	1	0	0.00%	0	7.17	0	0	0	0	0	0.00%	0	0	0.00	0.10
13	Justin Robidas	Eagles (COL)	C	1	0	0	0	-1	0	0	0	0	0	0	0.00%	0	4.40	0	0	0	0	0	0.00%	0	0	0.00	-0.35
14	Nikolai Knyzhov	Eagles (COL)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	15.72	0	0	0	0	0	0.00%	0	0	0.00	-0.03
15	Trey Fix-Wolansky	Eagles (COL)	RW	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.15	0	0	0	0	0	0.00%	0	0	0.00	0.00
16	Chris Wagner	Eagles (COL)	C	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	15.88	0	0	0	0	0	33.33%	0	0	0.00	-0.04
17	Matthew Peca	Eagles (COL)	C	1	0	0	0	0	0	0	1	2	2	2	0.00%	1	14.72	0	0	0	0	0	40.00%	0	0	0.00	0.27
18	Simon Lundmark	Eagles (COL)	D	1	0	0	0	-1	0	0	0	0	0	0	0.00%	0	13.02	0	0	0	0	0	0.00%	0	0	0.00	-0.35
Team Total or Average			18	4	6	10	5	2	0	14	20	7	11	20.00%	13	16.56	2	3	5	18	7	1	43.90%	41	4	2	0.67	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	Ivan Fedotov	Eagles (COL)	1	1	0	0	0.944	1.00	60	0	0	1	18	13	0	0	0.000	0	1	0	0	0	0
Team Total or Average		1	1	0	0	0.944	1.00	60	0	0	1	18	13	0	0	0.000	0	1	0	0	0	0

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22
Aleksandr Kisakov	LW	23	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Alex Alexeyev	D	26	1,500,000$	1,500,000$	1,500,000$	UFA
Berkly Catton	C/LW	20	942,500$	RFA
Brett Leason	RW	27	1,000,000$	1,000,000$	UFA
Calle Rosen	D	32	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Chris Wagner	C	35	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Collin Delia	G	32	2,000,000$	2,000,000$	2,000,000$	2,000,000$	UFA
Daniel Sprong	RW	29	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Daniel Walcott	LW	32	1,500,000$	1,500,000$	UFA
Danila Yurov	C/RW	22	950,000$	RFA
Gleb Trikozov	LW	21	862,500$	975,000$	RFA
Hunter Skinner	D	25	1,500,000$	1,500,000$	1,500,000$	RFA
Ivan Fedotov	G	29	975,000$	975,000$	UFA
Ivan Ryabkin	C	19	918,333$	RFA
Jack Devine	RW	22	950,000$	RFA
James Malatesta	LW	23	975,000$	975,000$	RFA
Jett Woo	D	25	1,000,000$	1,000,000$	1,000,000$	UFA
Joey Keane	D	26	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
John Ludvig	D	25	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Justin Robidas	C	23	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Kyle Clifford	LW	35	1,500,000$	1,500,000$	UFA
Kyle Masters	D	23	975,000$	975,000$	RFA
Liam O'Brien	C/LW/RW	31	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Luca Marrelli	D	20	889,167$	RFA
Ludvig Jansson	D	22	905,000$	RFA
Lukas Dragicevic	D	21	891,667$	RFA
Matt Murray	G	32	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Matthew Peca	C	33	1,000,000$	1,000,000$	UFA
Mike Vecchione	LW	33	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA
Nikolai Knyzhov	D	28	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA
Otto Salin	D	22	912,500$	RFA
Rodwin Dionicio	D	22	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Ryan Carpenter	C	35	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Simon Lundmark	D	25	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Tomas Suchanek	G	23	975,000$	975,000$	RFA
Trey Fix-Wolansky	RW	27	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA
Tyson Jugnauth	D	22	950,000$	RFA
Vilmer Alriksson	LW	21	881,667$	RFA
Vincent Arseneau	LW	34	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Walker Duehr	RW	28	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Zack MacEwen	RW	29	2,000,000$	2,000,000$	2,000,000$	2,000,000$	UFA

Lines

Forward Lines
# - Brett Leason	# - Walker Duehr	# - Liam O'Brien
# - Mike Vecchione	# - Ryan Carpenter	# - Zack MacEwen
# - Zack MacEwen	# - Chris Wagner	# - Walker Duehr
# - Brett Leason	# - Matthew Peca	# - Chris Wagner

Defensive Pairings
# - Alex Alexeyev	# - Calle Rosen
# - Jett Woo	# - Hunter Skinner
# - Nikolai Knyzhov	# - Alex Alexeyev

1st Power Play Unit
# - Brett Leason		# - Walker Duehr		# - Ryan Carpenter
# - Alex Alexeyev			# - Hunter Skinner

2nd Power Play Unit
# - Mike Vecchione		# - Ryan Carpenter		# - Zack MacEwen
# - Jett Woo			# - Hunter Skinner

Goalies
# - Ivan Fedotov		# - Matt Murray

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	GF	GA	Diff	P	PCT	G	A	TP	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK%	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	Moose	1	1	4	1	3	2	1.000	4	6	10	1	3	20	3	7	10	18	13	2	14	3	2	66.67%	1	100.00%	6	16	37.50%	7	14	50.00%	5	11	45.45%	16	6	18	11	24	12	66.7%	20.0%	94.4%	114.4	LUCKY
	_Vs Conference	1	1	4	1	3	2	1.000	4	6	10	1	3	20	3	7	10	18	13	2	14	3	2	66.67%	1	100.00%	6	16	37.50%	7	14	50.00%	5	11	45.45%	16	6	18	11	24	12	66.7%	20.0%	94.4%	114.4	LUCKY
	_Since Last GM Reset	1	1	4	1	3	2	1.000	4	6	10	1	3	20	3	7	10	18	13	2	14	3	2	66.67%	1	100.00%	6	16	37.50%	7	14	50.00%	5	11	45.45%	16	6	18	11	24	12	66.7%	20.0%	94.4%	114.4	LUCKY
	Total	1	1	4	1	3	2	1.000	4	6	10	1	3	20	3	7	10	18	13	2	14	3	2	66.67%	1	100.00%	6	16	37.50%	7	14	50.00%	5	11	45.45%	16	6	18	11	24	12	66.7%	20.0%	94.4%	114.4	LUCKY

	Puck Time
Offensive Zone	16
Neutral Zone	24
Defensive Zone	18

	Puck Time
Offensive Zone Start	16
Neutral Zone Start	11
Defensive Zone Start	14

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	18
Faceoffs Lost	23

	Team Average Shots after	League Average Shots after
1st Period	3.0	9.57
2nd Period	10.0	20.31
3rd Period	20.0	30.68
Overtime	20.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.0	0.64
2nd Period	1.0	1.65
3rd Period	4.0	2.67
Overtime	4.0	2.83


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

	Home	Away
Win	1	0
Lost	0	0
Overtime Lost	0	0


PP Attempt	3
PP Goal	2
PK Attempt	1
PK Goal Against	0

	Home
Shots For	20.0
Shots Against	18.0
Goals For	4.0
Goals Against	1.0
Hits	14.0
Shots Blocked	13.0
Pim	2.0

Schedule

Date	Matchup			Result	Detail
Mon, Oct 12	WPG	@	COL	WPG1,COL4	RECAP
Tue, Oct 13	COL	@	ANA
Fri, Oct 16	S J	@	COL
Sat, Oct 17	COL	@	STL
Mon, Oct 19	COL	@	CAL
Wed, Oct 21	EDM	@	COL
Fri, Oct 23	NYR	@	COL
Sun, Oct 25	COL	@	NYR
Tue, Oct 27	COL	@	S J
Thu, Oct 29	WPG	@	COL
Sat, Oct 31	CAL	@	COL
Mon, Nov 2	COL	@	CAR
Wed, Nov 4	SEA	@	COL
Fri, Nov 6	COL	@	SEA
Sun, Nov 8	COL	@	PHO
Tue, Nov 10	FLO	@	COL
Thu, Nov 12	COL	@	OTT
Sat, Nov 14	CAR	@	COL
Mon, Nov 16	OTT	@	COL
Wed, Nov 18	PIT	@	COL
Fri, Nov 20	COL	@	NYR
Mon, Nov 23	COL	@	WAS
Wed, Nov 25	WAS	@	COL
Fri, Nov 27	COL	@	MIN
Sat, Nov 28	MIN	@	COL
Mon, Nov 30	COL	@	CAL
Wed, Dec 2	VAN	@	COL
Fri, Dec 4	TAM	@	COL
Sun, Dec 6	COL	@	WPG
Mon, Dec 7	COL	@	CHI
Wed, Dec 9	COL	@	TAM
Fri, Dec 11	NYI	@	COL
Sun, Dec 13	WPG	@	COL
Tue, Dec 15	TOR	@	COL
Thu, Dec 17	COL	@	CLB
Fri, Dec 18	COL	@	MTL
Sun, Dec 20	CLB	@	COL
Tue, Dec 22	MTL	@	COL
Fri, Dec 25	COL	@	SEA
Sun, Dec 27	PHO	@	COL
Tue, Dec 29	COL	@	NAS
Wed, Dec 30	COL	@	PIT
Fri, Jan 1	BUF	@	COL
Sun, Jan 3	SEA	@	COL
Mon, Jan 4	COL	@	ANA
Wed, Jan 6	COL	@	PHO
Fri, Jan 8	NAS	@	COL
Sat, Jan 9	COL	@	VAN
Mon, Jan 11	EDM	@	COL
Wed, Jan 13	STL	@	COL
Fri, Jan 15	COL	@	BUF
Sun, Jan 17	CHI	@	COL
Mon, Jan 18	COL	@	LOS
Wed, Jan 20	COL	@	DAL
Thu, Jan 21	S J	@	COL
Sat, Jan 23	COL	@	ANA
Mon, Jan 25	NJD	@	COL
Wed, Jan 27	CAL	@	COL
Sat, Jan 30	COL	@	BOS
Sun, Jan 31	PHO	@	COL
Tue, Feb 2	DAL	@	COL
Thu, Feb 4	COL	@	NYI
Fri, Feb 5	COL	@	CHI
Sun, Feb 7	DET	@	COL
Tue, Feb 9	COL	@	DET
Thu, Feb 11	COL	@	PHI
Fri, Feb 12	BOS	@	COL
Sun, Feb 14	ANA	@	COL
Tue, Feb 16	COL	@	FLO
Wed, Feb 17	COL	@	LOS
Fri, Feb 19	NJD	@	COL
Sun, Feb 21	COL	@	S J
Tue, Feb 23	COL	@	EDM
Wed, Feb 24	LOS	@	COL
Fri, Feb 26	COL	@	CAL
Sun, Feb 28	PHI	@	COL
Tue, Mar 2	COL	@	TOR
Thu, Mar 4	CHI	@	COL
Mon, Mar 8	NYR	@	COL
Tue, Mar 9	COL	@	EDM
Fri, Mar 12	LOS	@	COL
Sun, Mar 14	COL	@	NJD
Trade Deadline --- Trades can�t be done after this day is simulated!
Wed, Mar 17	ANA	@	COL
Thu, Mar 18	COL	@	NJD