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
Shane Wright	0	C/LW	100.00	68	40	83	79	74	74	71	75	59	72	72	68	75	56	50	1	50	69	21	975,000$/2yrs
Tye Kartye	0	C/LW/RW	100.00	84	55	71	76	80	78	75	72	50	67	68	70	72	56	50	1	50	69	24	975,000$/1yrs
Vasily Podkolzin	0	LW/RW	100.00	75	56	72	73	75	77	75	72	48	69	65	68	70	62	53	1	50	68	24	1,200,000$/4yrs
Brennan Othmann	0	LW	100.00	65	42	74	71	74	74	65	66	42	63	60	60	66	55	50	1	50	63	22	975,000$/2yrs
Kole Lind	0	RW	100.00	58	53	58	69	62	69	67	66	46	65	61	62	66	54	50	1	50	62	26	1,500,000$/2yrs
Raphael Lavoie	0	C/RW	100.00	62	44	65	64	67	65	63	64	44	58	61	56	63	52	50	1	50	60	24	1,200,000$/3yrs
Jake Wise	0	C/LW/RW	100.00	59	41	71	65	62	66	64	62	43	60	57	59	62	52	50	1	50	59	25	975,000$/2yrs
Danila Klimovich	0	RW	100.00	66	44	65	65	67	62	60	62	43	56	59	61	62	50	50	1	50	59	22	1,100,000$/4yrs
Jagger Joshua	0	LW	100.00	62	53	58	61	67	65	63	57	41	54	52	58	57	54	50	1	50	57	26	1,000,000$/3yrs
Ethan de Jong	0	RW	100.00	57	41	70	64	61	64	62	56	41	54	52	55	57	52	50	1	50	56	25	1,000,000$/3yrs
Zach Dean	0	C/LW/RW	100.00	58	41	70	65	62	60	58	56	41	52	53	56	58	50	50	1	50	56	22	975,000$/2yrs
Carson Golder	0	RW	100.00	62	40	69	61	66	59	56	55	40	52	51	54	56	50	50	1	50	55	22	1,000,000$/3yrs
Parker Wotherspoon	0	D	100.00	70	50	81	75	77	85	73	69	40	66	61	74	68	59	50	1	50	69	27	1,200,000$/3yrs
Declan Chisholm	0	D	100.00	63	42	85	75	78	82	76	71	40	68	64	72	70	62	53	1	50	69	25	1,200,000$/3yrs
Owen Pickering (R)	0	D	100.00	58	40	74	69	77	75	62	64	40	61	61	66	65	51	50	1	50	64	21	886,667$/2yrs
Victtorio Mancini (R)	0	D	100.00	61	40	73	67	80	75	62	65	40	63	62	64	65	51	50	1	50	64	23	975,000$/3yrs
Alex Petrovic	0	D	100.00	62	46	63	64	68	72	72	64	40	62	55	68	61	68	61	1	50	64	33	975,000$/1yrs
Carson Lambos	0	D	100.00	62	45	64	65	65	63	62	63	40	58	56	64	61	50	50	1	50	61	22	975,000$/2yrs
Artem Duda (R)	0	D	100.00	63	41	69	67	62	62	61	62	40	61	57	65	62	50	50	1	50	61	21	950,000$/2yrs
Scratches
Cameron Wright	0	RW	100.00	60	46	63	63	64	67	65	63	42	56	57	56	61	53	50	1	50	58	26	1,000,000$/3yrs
Hunter Johannes	0	LW	100.00	62	42	65	59	69	65	63	57	40	52	52	54	56	53	50	1	50	56	26	1,000,000$/3yrs
Danny Katic	0	LW	100.00	62	41	64	58	66	60	58	55	40	54	54	57	56	51	50	1	50	56	24	1,000,000$/3yrs
Jakub Rychlovský	0	LW	100.00	58	41	67	62	61	61	58	57	40	54	54	55	58	51	50	1	50	56	23	1,000,000$/3yrs
Joey Abate	0	C/LW/RW	100.00	55	55	56	64	61	66	64	58	42	52	53	53	59	54	50	1	50	56	26	1,000,000$/3yrs
Jaxsen Wiebe	0	RW	100.00	63	41	69	60	67	60	58	55	40	51	52	55	56	51	50	1	50	55	23	1,000,000$/3yrs
Connor Mylymok	0	LW	100.00	61	42	56	58	64	61	58	55	40	53	53	55	55	52	50	1	50	55	25	1,000,000$/3yrs
Gunnarwolfe Fontaine	0	LW	100.00	56	40	66	62	57	60	58	54	40	53	53	55	56	51	50	1	50	55	24	1,000,000$/3yrs
Joey Larson	0	C/LW/RW	100.00	59	40	59	58	62	60	58	55	40	54	54	54	56	51	50	1	50	55	24	1,000,000$/3yrs
Lucas Mercuri (R)	0	C	100.00	61	40	62	60	62	59	57	54	46	53	53	56	55	51	50	1	50	55	23	975,000$/1yrs
Adam Ginning	0	D	100.00	63	49	60	64	68	66	65	63	40	59	53	65	60	53	50	1	50	61	25	975,000$/1yrs
Billy Sweezey	0	D	100.00	60	49	61	64	65	70	69	59	40	53	52	66	58	59	52	1	50	61	29	1,200,000$/1yrs
Lucas Johansen	0	D	100.00	58	41	70	67	61	65	63	58	40	55	51	64	59	55	50	1	50	60	27	1,200,000$/1yrs
Colton Poolman	0	D	100.00	60	40	72	65	62	67	65	57	40	52	53	67	58	59	50	1	50	60	29	1,000,000$/1yrs
Marshall Warren (R)	0	D	100.00	56	42	63	62	61	62	61	60	40	58	56	59	59	51	50	1	50	58	24	825,000$/1yrs
Connor Corcoran	0	D	100.00	57	41	72	64	64	63	61	58	40	53	52	57	58	52	50	1	50	58	24	1,000,000$/4yrs
Calle Odelius (R)	0	D	100.00	55	41	67	61	61	61	60	59	40	57	54	53	58	50	50	1	50	57	21	815,000$/2yrs
Josh Maniscalco	0	D	100.00	55	41	63	56	58	56	54	53	40	51	50	55	53	53	50	1	50	54	26	975,000$/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
Ty Young	0	98.00	67	57	57	63	63	64	66	65	65	62	57	50	50	1	50	58	20	975,000$/2yrs
Hunter Miska	0	100.00	64	59	55	55	57	55	56	53	57	58	57	60	52	1	50	53	29	975,000$/1yrs
Scratches
Evan Cormier	0	100.00	56	50	48	58	54	51	51	47	53	53	44	54	50	1	50	49	27	1,000,000$/3yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Troy Mann	62	61	64	61	62	57	1	CAN	55	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	PPP	PKM	GW	FO%	EG	HT	P/GP	GSAVG
1	Vasily Podkolzin	Admirals (NAS)	LW/RW	3	0	4	4	0	0	0	8	4	3	4	0.00%	1	23.28	0	5	0	0.00%	0	0	1.33	1.08
2	Shane Wright	Admirals (NAS)	C/LW	3	2	1	3	-1	0	0	3	12	4	4	16.67%	1	22.53	0	2	0	50.00%	0	0	1.00	0.97
3	Parker Wotherspoon	Admirals (NAS)	D	3	0	2	2	-1	0	0	5	1	2	0	0.00%	3	26.82	0	5	0	0.00%	0	0	0.67	0.43
4	Tye Kartye	Admirals (NAS)	C/LW/RW	3	2	0	2	2	0	0	5	8	6	8	25.00%	2	24.41	0	5	0	48.57%	0	0	0.67	1.00
5	Brennan Othmann	Admirals (NAS)	LW	3	1	0	1	2	0	0	5	5	2	3	20.00%	1	23.22	0	3	0	50.00%	0	0	0.33	0.68
6	Kole Lind	Admirals (NAS)	RW	3	0	1	1	0	4	0	2	2	0	0	0.00%	1	19.48	0	1	0	50.00%	0	0	0.33	0.03
7	Owen Pickering	Admirals (NAS)	D	3	1	0	1	2	0	0	4	1	0	1	100.00%	2	19.93	0	3	1	0.00%	0	0	0.33	0.55
8	Victtorio Mancini	Admirals (NAS)	D	3	0	1	1	2	0	0	2	4	0	3	0.00%	3	19.76	0	3	0	0.00%	0	0	0.33	0.63
9	Declan Chisholm	Admirals (NAS)	D	3	0	1	1	0	0	0	1	4	0	1	0.00%	3	22.30	0	5	0	0.00%	0	0	0.33	0.37
10	Raphael Lavoie	Admirals (NAS)	C/RW	3	0	1	1	1	7	5	3	2	0	1	0.00%	1	19.33	0	0	0	66.67%	0	0	0.33	0.02
11	Cameron Wright	Admirals (NAS)	RW	3	0	0	0	0	0	0	2	1	0	1	0.00%	0	8.69	0	0	0	0.00%	0	0	0.00	0.05
12	Carson Lambos	Admirals (NAS)	D	3	0	0	0	-1	0	0	1	1	0	0	0.00%	1	15.60	0	0	0	100.00%	0	0	0.00	-0.08
13	Jake Wise	Admirals (NAS)	C/LW/RW	3	0	0	0	0	2	0	3	1	0	0	0.00%	0	15.57	0	0	0	41.18%	0	0	0.00	-0.09
14	Artem Duda	Admirals (NAS)	D	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	8.42	0	0	0	0.00%	0	0	0.00	-0.02
15	Adam Ginning	Admirals (NAS)	D	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	1.41	0	0	0	0.00%	0	0	0.00	0.00
16	Billy Sweezey	Admirals (NAS)	D	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0.00%	0	0	0.00	0.00
17	Danila Klimovich	Admirals (NAS)	RW	3	0	0	0	-1	0	0	3	1	0	0	0.00%	1	14.37	0	0	0	0.00%	0	0	0.00	-0.06
18	Alex Petrovic	Admirals (NAS)	D	3	0	0	0	2	2	0	0	0	0	0	0.00%	1	13.11	0	0	0	0.00%	0	0	0.00	0.12
Team Total or Average			54	6	11	17	7	15	5	47	47	17	26	12.77%	21	16.57	0	21	36	1	48.59%	142	7	27	0.38	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	Ty Young	Admirals (NAS)	3	1	0	2	0.926	1.99	181	2	0	6	81	45	0	0	0.000	0	3	0	1	0	0
Team Total or Average		3	1	0	2	0.926	1.99	181	2	0	6	81	45	0	0	0.000	0	3	0	1	0	0

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22
Adam Ginning	D	25	975,000$	975,000$	RFA
Alex Petrovic	D	33	975,000$	975,000$	UFA
Artem Duda	D	21	950,000$	975,000$	975,000$	RFA
Billy Sweezey	D	29	1,200,000$	1,200,000$	UFA
Brennan Othmann	LW	22	975,000$	975,000$	975,000$	RFA
Calle Odelius	D	21	815,000$	975,000$	975,000$	RFA
Cameron Wright	RW	26	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Carson Golder	RW	22	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Carson Lambos	D	22	975,000$	975,000$	975,000$	RFA
Colton Poolman	D	29	1,000,000$	1,000,000$	UFA
Connor Corcoran	D	24	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Connor Mylymok	LW	25	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Danila Klimovich	RW	22	1,100,000$	1,100,000$	1,100,000$	1,100,000$	1,100,000$	RFA
Danny Katic	LW	24	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Declan Chisholm	D	25	1,200,000$	1,200,000$	1,200,000$	1,200,000$	UFA
Ethan de Jong	RW	25	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Evan Cormier	G	27	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Gunnarwolfe Fontaine	LW	24	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Hunter Johannes	LW	26	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Hunter Miska	G	29	975,000$	975,000$	UFA
Jagger Joshua	LW	26	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Jake Wise	C/LW/RW	25	975,000$	975,000$	975,000$	RFA
Jakub Rychlovský	LW	23	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Jaxsen Wiebe	RW	23	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Joey Abate	C/LW/RW	26	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Joey Larson	C/LW/RW	24	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Josh Maniscalco	D	26	975,000$	975,000$	RFA
Kole Lind	RW	26	1,500,000$	1,500,000$	1,500,000$	UFA
Lucas Johansen	D	27	1,200,000$	1,200,000$	UFA
Lucas Mercuri	C	23	975,000$	975,000$	RFA
Marshall Warren	D	24	825,000$	975,000$	RFA
Owen Pickering	D	21	886,667$	975,000$	975,000$	RFA
Parker Wotherspoon	D	27	1,200,000$	1,200,000$	1,200,000$	1,200,000$	UFA
Raphael Lavoie	C/RW	24	1,200,000$	1,200,000$	1,200,000$	1,200,000$	UFA
Shane Wright	C/LW	21	975,000$	975,000$	975,000$	RFA
Ty Young	G	20	975,000$	975,000$	975,000$	RFA
Tye Kartye	C/LW/RW	24	975,000$	975,000$	RFA
Vasily Podkolzin	LW/RW	24	1,200,000$	1,200,000$	1,200,000$	1,200,000$	1,200,000$	UFA
Victtorio Mancini	D	23	975,000$	975,000$	975,000$	975,000$	RFA
Zach Dean	C/LW/RW	22	975,000$	975,000$	975,000$	RFA

Lines

Forward Lines
# - Vasily Podkolzin	# - Shane Wright	# - Kole Lind
# - Brennan Othmann	# - Tye Kartye	# - Raphael Lavoie
# - Jagger Joshua	# - Zach Dean	# - Danila Klimovich
# - Carson Golder	# - Jake Wise	# - Ethan de Jong

Defensive Pairings
# - Parker Wotherspoon	# - Declan Chisholm
# - Owen Pickering	# - Victtorio Mancini
# - Alex Petrovic	# - Carson Lambos

1st Power Play Unit
# - Vasily Podkolzin		# - Shane Wright		# - Tye Kartye
# - Parker Wotherspoon			# - Declan Chisholm

2nd Power Play Unit
# - Brennan Othmann		# - Raphael Lavoie		# - Kole Lind
# - Owen Pickering			# - Victtorio Mancini

Goalies
# - Ty Young		# - Hunter Miska

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	OTL	GF	GA	Diff	P	PCT	G	A	TP	GP2	GP3	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PP%	PKA	PK GA	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	Heat	1	1	0	3	1	2	2	1.000	3	6	9	5	1	10	15	25	6	1	15	6	6	17	0	0.00%	3	0	100.00%	18	40	45.00%	33	62	53.23%	18	37	48.65%	53	21	59	30	68	37	75.0%	30.0%	93.3%	123.3	LUCKY
2	IceHogs	1	0	1	1	2	-1	1	0.500	1	1	2	5	1	14	15	25	6	1	37	8	7	19	0	0.00%	1	0	100.00%	18	40	45.00%	33	62	53.23%	18	37	48.65%	53	21	59	30	68	37	33.3%	7.1%	94.6%	101.7	DULL
3	Crunch	1	0	1	2	3	-1	1	0.500	2	4	6	5	1	23	15	25	6	1	29	7	4	11	3	0.00%	2	1	50.00%	18	40	45.00%	33	62	53.23%	18	37	48.65%	53	21	59	30	68	37	50.0%	8.7%	89.7%	98.4	Unlucky
	_Vs Division	1	0	1	3	1	2	1	0.500	3	6	9	5	1	10	15	25	6	1	15	6	6	17	0	0.00%	3	0	100.00%	18	40	45.00%	33	62	53.23%	18	37	48.65%	53	21	59	30	68	37	75.0%	30.0%	93.3%	123.3	LUCKY
	_Vs Conference	2	1	1	4	3	1	3	0.750	4	7	11	5	1	24	15	25	6	1	52	14	13	36	0	0.00%	4	0	100.00%	18	40	45.00%	33	62	53.23%	18	37	48.65%	53	21	59	30	68	37	57.1%	16.7%	94.2%	110.9	LUCKY
	_Since Last GM Reset	3	1	2	6	6	0	4	0.667	6	11	17	5	1	47	15	25	6	1	81	21	17	47	3	0.00%	6	1	83.33%	18	40	45.00%	33	62	53.23%	18	37	48.65%	53	21	59	30	68	37	54.5%	12.8%	92.6%	105.4	LUCKY
	Total	3	1	2	6	6	0	4	0.667	6	11	17	5	1	47	15	25	6	1	81	21	17	47	3	0.00%	6	1	83.33%	18	40	45.00%	33	62	53.23%	18	37	48.65%	53	21	59	30	68	37	54.5%	12.8%	92.6%	105.4	LUCKY

	Puck Time
Offensive Zone	17
Neutral Zone	22
Defensive Zone	19

	Puck Time
Offensive Zone Start	40
Neutral Zone Start	37
Defensive Zone Start	62

	Puck Time
With Puck	29
Without Puck	31

	Faceoffs
Faceoffs Won	69
Faceoffs Lost	70

	Team Average Shots after	League Average Shots after
1st Period	5.0	9.57
2nd Period	13.3	20.31
3rd Period	15.3	30.68
Overtime	15.7	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.0	0.64
2nd Period	1.7	1.65
3rd Period	2.0	2.67
Overtime	2.0	2.83


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

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


PP Attempt	3
PP Goal	0
PK Attempt	6
PK Goal Against	1

	Home
Shots For	15.7
Shots Against	27.0
Goals For	2.0
Goals Against	2.0
Hits	15.7
Shots Blocked	7.0
Pim	5.7

Schedule

Date	Matchup			Result	Detail
Wed, Oct 8	NAS	@	CHI	NAS1,CHI2 (OT)	RECAP
Sat, Oct 11	CAL	@	NAS	CAL1,NAS3	RECAP
Tue, Oct 14	TAM	@	NAS	TAM3,NAS2 (OT)	RECAP
Thu, Oct 16	NAS	@	BUF
Sat, Oct 18	STL	@	NAS
Mon, Oct 20	WPG	@	NAS
Tue, Oct 21	NAS	@	DAL
Fri, Oct 24	BUF	@	NAS
Sun, Oct 26	NAS	@	MIN
Tue, Oct 28	NAS	@	COL
Wed, Oct 29	NAS	@	STL
Fri, Oct 31	MIN	@	NAS
Mon, Nov 3	DAL	@	NAS
Tue, Nov 4	NAS	@	WAS
Thu, Nov 6	DET	@	NAS
Fri, Nov 7	NAS	@	WPG
Mon, Nov 10	NAS	@	DET
Wed, Nov 12	OTT	@	NAS
Thu, Nov 13	DET	@	NAS
Sun, Nov 16	NAS	@	COL
Mon, Nov 17	TOR	@	NAS
Wed, Nov 19	NAS	@	DET
Sat, Nov 22	NYR	@	NAS
Sun, Nov 23	NAS	@	CAR
Tue, Nov 25	FLO	@	NAS
Fri, Nov 28	NAS	@	OTT
Sat, Nov 29	NAS	@	NJD
Mon, Dec 1	BUF	@	NAS
Wed, Dec 3	MIN	@	NAS
Fri, Dec 5	NAS	@	CAL
Mon, Dec 8	NAS	@	MIN
Tue, Dec 9	MTL	@	NAS
Fri, Dec 12	NAS	@	BUF
Sat, Dec 13	CAL	@	NAS
Tue, Dec 16	NAS	@	CLB
Wed, Dec 17	ANA	@	NAS
Sat, Dec 20	NJD	@	NAS
Sun, Dec 21	NAS	@	DAL
Wed, Dec 24	NAS	@	VAN
Fri, Dec 26	CLB	@	NAS
Sun, Dec 28	NAS	@	BOS
Tue, Dec 30	NYI	@	NAS
Fri, Jan 2	NAS	@	SEA
Mon, Jan 5	TAM	@	NAS
Wed, Jan 7	WPG	@	NAS
Fri, Jan 9	NAS	@	PHO
Sat, Jan 10	NAS	@	TAM
Mon, Jan 12	STL	@	NAS
Thu, Jan 15	LOS	@	NAS
Fri, Jan 16	NAS	@	NYI
Mon, Jan 19	CHI	@	NAS
Wed, Jan 21	PHI	@	NAS
Fri, Jan 23	NAS	@	WPG
Sun, Jan 25	NAS	@	S J
Mon, Jan 26	NAS	@	PIT
Wed, Jan 28	CAR	@	NAS
Fri, Jan 30	NAS	@	TOR
Sun, Feb 1	S J	@	NAS
Tue, Feb 3	BOS	@	NAS
Fri, Feb 6	COL	@	NAS
Sun, Feb 8	NAS	@	LOS
Mon, Feb 9	NAS	@	FLO
Wed, Feb 11	EDM	@	NAS
Fri, Feb 13	NAS	@	WAS
Sun, Feb 15	WAS	@	NAS
Wed, Feb 18	NAS	@	CHI
Thu, Feb 19	NAS	@	PHI
Fri, Feb 20	DAL	@	NAS
Mon, Feb 23	PHO	@	NAS
Thu, Feb 26	CHI	@	NAS
Fri, Feb 27	NAS	@	CHI
Mon, Mar 2	CHI	@	NAS
Tue, Mar 3	NAS	@	STL
Thu, Mar 5	NAS	@	ANA
Sat, Mar 7	NAS	@	MTL
Sun, Mar 8	SEA	@	NAS
Trade Deadline --- Trades can�t be done after this day is simulated!
Tue, Mar 10	NAS	@	CHI
Thu, Mar 12	NAS	@	NYR
Sat, Mar 14	CHI	@	NAS
Tue, Mar 17	PIT	@	NAS
Wed, Mar 18	NAS	@	EDM
Mon, Mar 23	VAN	@	NAS