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
Christian Fischer	0	C/RW	99.00	69	44	78	66	76	75	77	62	51	61	57	63	61	83	70	1	50	64	29	3,100,000$/1yrs
Logan Morrison	0	C	99.00	65	43	69	71	64	65	63	66	45	65	61	66	66	51	50	1	50	63	23	1,250,000$/4yrs
Jakub Lauko	0	C/LW/RW	99.00	74	66	63	68	73	74	71	64	46	60	60	65	64	60	50	1	50	63	26	1,250,000$/4yrs
Noah Philp	0	C	99.00	66	41	72	69	75	75	62	65	74	60	61	64	65	56	50	1	50	63	27	1,000,000$/1yrs
Jimmy Huntington	0	C	100.00	57	44	61	63	60	67	65	62	45	62	56	58	60	55	50	1	50	59	27	1,000,000$/2yrs
Philippe Daoust	0	C	100.00	57	42	71	63	63	64	62	62	62	63	55	54	60	52	50	1	50	59	24	1,000,000$/2yrs
MacKenzie Entwistle	0	RW	99.00	63	46	64	65	66	67	65	59	43	53	53	60	59	55	51	1	50	58	26	1,750,000$/2yrs
Jack Malone	0	C/LW/RW	99.00	59	41	72	62	63	65	63	57	41	53	52	54	57	52	50	1	50	56	25	1,000,000$/2yrs
Austin Wagner	0	LW	100.00	52	42	60	56	57	64	62	57	41	52	52	50	55	55	50	1	50	54	29	1,525,000$/1yrs
Justin Holl	0	D	100.00	64	41	78	69	71	74	74	64	40	61	57	71	63	74	64	1	50	66	34	5,000,000$/1yrs
Dennis Gilbert	0	D	99.00	66	52	65	65	75	72	70	62	40	61	54	68	60	67	57	1	50	64	29	2,500,000$/1yrs
Isaak Phillips	0	D	99.00	62	46	65	69	69	68	64	66	40	60	60	66	65	53	50	1	50	63	24	1,250,000$/4yrs
Joe Hicketts	0	D	100.00	53	46	64	71	56	71	69	63	40	62	54	67	63	63	58	1	50	62	30	1,500,000$/1yrs
Jake Livingstone	0	D	99.00	66	43	69	65	69	68	66	62	40	58	54	68	60	55	50	1	50	62	27	1,250,000$/4yrs
Leon Muggli (R)	0	D	100.00	62	40	70	68	62	60	60	60	40	60	60	65	60	50	50	1	50	61	19	1,000,000$/4yrs
Luke Prokop	0	D	100.00	66	41	71	60	73	64	61	59	40	53	52	63	57	52	50	1	50	60	24	975,000$/1yrs
Bryce Montgomery	0	D	100.00	65	44	61	58	72	60	57	54	40	51	50	62	54	51	50	1	50	58	23	854,910$/1yrs
Tyler Inamoto	0	D	100.00	60	40	68	65	63	64	61	53	40	51	50	62	56	55	50	1	50	58	27	1,000,000$/1yrs
Scratches
Marc McLaughlin	0	C	100.00	61	41	71	64	64	65	63	59	43	56	53	59	59	54	50	1	50	58	26	1,000,000$/2yrs
Felix Unger Sörum	0	RW	100.00	58	41	68	62	61	58	57	59	42	59	54	54	58	50	50	1	50	57	20	3,000,000$/3yrs
Dino Kambeitz	0	RW	100.00	62	45	64	60	68	67	65	59	41	53	53	56	57	54	50	1	50	57	26	1,000,000$/2yrs
Rhett Pitlick	0	RW	100.00	54	41	70	65	55	64	62	58	41	57	52	54	58	52	50	1	50	56	25	1,250,000$/4yrs
Dalton Bancroft	0	RW	100.00	60	42	68	57	67	64	61	55	41	51	51	52	55	52	50	1	50	55	25	1,000,000$/2yrs
Joel L'Esperance	0	RW	100.00	54	41	60	55	58	61	60	57	43	53	54	51	55	58	50	1	50	54	30
Drew Callin	0	C/LW/RW	100.00	52	41	65	53	60	65	63	53	40	51	51	50	53	65	52	1	50	54	31	1,000,000$/2yrs
Sam Stange (R)	0	C/LW/RW	100.00	56	40	68	56	61	60	57	53	41	51	51	51	54	52	50	1	50	53	25
Paul Ludwinski	0	C	100.00	54	41	63	56	56	56	55	52	41	50	51	51	52	50	50	1	50	52	22	900,000$/1yrs
Cameron Crotty	0	D	100.00	60	43	67	62	67	68	66	60	40	54	52	62	58	55	50	1	50	60	27
Cole Clayton	0	D	100.00	60	44	66	65	65	68	66	61	40	56	52	63	59	54	50	1	50	60	26
Joseph Cecconi	0	D	100.00	58	42	59	56	63	64	63	56	40	54	51	61	54	58	50	1	50	57	29
Jack Bar (R)	0	D	100.00	60	40	66	60	65	56	54	51	40	50	50	58	53	51	50	1	50	56	23	1,250,000$/4yrs
Cooper Moore (R)	0	D	100.00	55	42	60	61	59	60	57	54	40	51	51	56	55	52	50	1	50	55	25	1,250,000$/4yrs
Dennis Cesana	0	D	100.00	53	40	64	59	56	58	56	52	40	50	50	56	53	55	50	1	50	54	28	1,000,000$/2yrs

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
Matthew Murray	0	100.00	75	68	74	64	72	72	75	71	74	74	64	57	51	1	50	65	28	1,000,000$/2yrs
Brett Brochu	0	100.00	63	56	56	60	60	58	58	56	59	59	51	50	50	1	50	54	23	1,000,000$/2yrs
Scratches
Ben Kraws	0	100.00	62	56	55	66	60	56	56	53	57	59	50	53	50	1	50	54	25	1,000,000$/2yrs
Ethan Langenegger	0	100.00	61	57	57	62	59	57	56	54	57	59	54	51	50	1	50	53	25	1,000,000$/2yrs
Dante Giannuzzi	0	100.00	53	48	48	54	50	47	46	44	47	50	44	50	50	1	50	46	23	1,000,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Bylsma	76	74	76	83	82	72	1	USA	55	2	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	PKM	GW	GT	FO%	EG	HT	P/GP	GSAVG
1	Logan Morrison	Stars (DAL)	C	1	0	3	3	2	2	0	1	2	0	1	0.00%	0	19.75	0	1	1	0	0	0	50.00%	0	0	3.00	2.50
2	Dennis Gilbert	Stars (DAL)	D	1	0	2	2	3	0	0	1	0	0	0	0.00%	1	22.33	0	0	0	1	0	0	0.00%	0	0	2.00	2.40
3	Jakub Lauko	Stars (DAL)	C/LW/RW	1	1	1	2	2	2	0	1	1	1	0	100.00%	1	23.60	1	0	1	2	0	0	60.00%	0	0	2.00	1.91
4	Noah Philp	Stars (DAL)	C	1	1	1	2	2	0	0	2	1	0	0	100.00%	0	18.03	0	0	0	0	1	0	66.67%	0	0	2.00	2.25
5	Christian Fischer	Stars (DAL)	C/RW	1	1	0	1	1	0	0	0	1	0	0	100.00%	1	19.43	0	0	0	1	0	1	83.33%	0	0	1.00	1.19
6	Joe Hicketts	Stars (DAL)	D	1	1	0	1	0	0	0	1	1	0	1	100.00%	1	20.85	1	0	1	3	0	0	0.00%	0	0	1.00	0.88
7	Austin Wagner	Stars (DAL)	LW	1	0	1	1	0	0	0	1	0	0	0	0.00%	1	15.43	0	1	1	2	0	0	0.00%	0	0	1.00	0.73
8	Philippe Daoust	Stars (DAL)	C	1	1	0	1	1	0	0	1	2	0	0	50.00%	0	14.33	0	0	0	0	0	0	100.00%	0	0	1.00	1.26
9	Luke Prokop	Stars (DAL)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	10.48	0	0	0	0	0	0	0.00%	0	0	0.00	-0.03
10	Jimmy Huntington	Stars (DAL)	C	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	14.80	0	0	0	0	0	0	50.00%	0	0	0.00	-0.03
11	Bryce Montgomery	Stars (DAL)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	6.83	0	0	0	0	0	0	0.00%	0	0	0.00	0.00
12	Leon Muggli	Stars (DAL)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	3.38	0	0	0	0	0	0	0.00%	0	0	0.00	0.00
13	Jack Malone	Stars (DAL)	C/LW/RW	1	0	0	0	0	2	0	1	1	0	1	0.00%	0	16.53	0	0	0	0	0	0	0.00%	0	0	0.00	-0.23
14	MacKenzie Entwistle	Stars (DAL)	RW	1	0	0	0	1	0	0	2	0	0	0	0.00%	1	22.35	0	0	0	3	0	0	20.00%	0	0	0.00	0.37
15	Justin Holl	Stars (DAL)	D	1	0	0	0	3	0	0	0	0	0	1	0.00%	0	20.10	0	0	0	1	0	0	0.00%	0	0	0.00	1.05
16	Isaak Phillips	Stars (DAL)	D	1	0	0	0	0	2	0	1	1	1	0	0.00%	1	22.57	0	0	0	0	0	0	0.00%	0	0	0.00	-0.18
17	Jake Livingstone	Stars (DAL)	D	1	0	0	0	0	0	0	1	0	0	0	0.00%	1	24.42	0	0	0	3	0	0	0.00%	0	0	0.00	0.05
18	Tyler Inamoto	Stars (DAL)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.05	0	0	0	0	0	0	0.00%	0	0	0.00	0.00
Team Total or Average			18	5	8	13	15	8	0	13	10	2	4	50.00%	8	16.40	2	2	4	29	18	1	1	57.58%	33	5	3	0.88	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	Matthew Murray	Stars (DAL)	1	1	0	0	0.857	2.00	60	0	0	2	14	7	1	0	0.000	0	1	0	0	0	0
Team Total or Average		1	1	0	0	0.857	2.00	60	0	0	2	14	7	1	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
Austin Wagner	LW	29	1,525,000$	1,525,000$	UFA
Ben Kraws	G	25	1,000,000$	1,000,000$	1,000,000$	UFA
Brett Brochu	G	23	1,000,000$	1,000,000$	1,000,000$	RFA
Bryce Montgomery	D	23	854,910$	975,000$	RFA
Cameron Crotty	D	27	0$	UFA
Christian Fischer	C/RW	29	3,100,000$	3,100,000$	UFA
Cole Clayton	D	26	0$	RFA
Cooper Moore	D	25	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA
Dalton Bancroft	RW	25	1,000,000$	1,000,000$	1,000,000$	RFA
Dante Giannuzzi	G	23	1,000,000$	1,000,000$	1,000,000$	RFA
Dennis Cesana	D	28	1,000,000$	1,000,000$	1,000,000$	UFA
Dennis Gilbert	D	29	2,500,000$	2,500,000$	UFA
Dino Kambeitz	RW	26	1,000,000$	1,000,000$	1,000,000$	UFA
Drew Callin	C/LW/RW	31	1,000,000$	1,000,000$	1,000,000$	UFA
Ethan Langenegger	G	25	1,000,000$	1,000,000$	1,000,000$	UFA
Felix Unger Sörum	RW	20	3,000,000$	3,000,000$	3,000,000$	3,000,000$	RFA
Isaak Phillips	D	24	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA
Jack Bar	D	23	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA
Jack Malone	C/LW/RW	25	1,000,000$	1,000,000$	1,000,000$	RFA
Jake Livingstone	D	27	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA
Jakub Lauko	C/LW/RW	26	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA
Jimmy Huntington	C	27	1,000,000$	1,000,000$	1,000,000$	UFA
Joe Hicketts	D	30	1,500,000$	1,500,000$	UFA
Joel L'Esperance	RW	30	0$	UFA
Joseph Cecconi	D	29	0$	UFA
Justin Holl	D	34	5,000,000$	5,000,000$	UFA
Leon Muggli	D	19	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Logan Morrison	C	23	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA
Luke Prokop	D	24	975,000$	975,000$	RFA
MacKenzie Entwistle	RW	26	1,750,000$	1,750,000$	1,750,000$	UFA
Marc McLaughlin	C	26	1,000,000$	1,000,000$	1,000,000$	UFA
Matthew Murray	G	28	1,000,000$	1,000,000$	1,000,000$	UFA
Noah Philp	C	27	1,000,000$	1,000,000$	UFA
Paul Ludwinski	C	22	900,000$	975,000$	RFA
Philippe Daoust	C	24	1,000,000$	1,000,000$	1,000,000$	RFA
Rhett Pitlick	RW	25	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA
Sam Stange	C/LW/RW	25	0$	RFA
Tyler Inamoto	D	27	1,000,000$	1,000,000$	UFA

Lines

Forward Lines
# - Jakub Lauko	# - Christian Fischer	# - MacKenzie Entwistle
# - Noah Philp	# - Logan Morrison	# - Jakub Lauko
# - Logan Morrison	# - Noah Philp	# - Philippe Daoust
# - MacKenzie Entwistle	# - Jimmy Huntington	# - Jack Malone

Defensive Pairings
# - Justin Holl	# - Dennis Gilbert
# - Jake Livingstone	# - Isaak Phillips
# - Joe Hicketts	# - Isaak Phillips

1st Power Play Unit
# - Logan Morrison		# - Jakub Lauko		# - MacKenzie Entwistle
# - Jake Livingstone			# - Isaak Phillips

2nd Power Play Unit
# - Jakub Lauko		# - Logan Morrison		# - MacKenzie Entwistle
# - Jake Livingstone			# - Joe Hicketts

Goalies
# - Matthew Murray		# - Brett Brochu

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 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	Wild	1	1	5	2	3	2	1.000	5	8	13	4	1	10	1	6	3	14	8	8	13	4	2	50.00%	4	2	50.00%	6	7	85.71%	8	13	61.54%	5	13	38.46%	16	5	17	11	26	12	100.0%	50.0%	85.7%	135.7	FUN
	_Vs Conference	1	1	5	2	3	2	1.000	5	8	13	4	1	10	1	6	3	14	8	8	13	4	2	50.00%	4	2	50.00%	6	7	85.71%	8	13	61.54%	5	13	38.46%	16	5	17	11	26	12	100.0%	50.0%	85.7%	135.7	FUN
	_Since Last GM Reset	1	1	5	2	3	2	1.000	5	8	13	4	1	10	1	6	3	14	8	8	13	4	2	50.00%	4	2	50.00%	6	7	85.71%	8	13	61.54%	5	13	38.46%	16	5	17	11	26	12	100.0%	50.0%	85.7%	135.7	FUN
	Total	1	1	5	2	3	2	1.000	5	8	13	4	1	10	1	6	3	14	8	8	13	4	2	50.00%	4	2	50.00%	6	7	85.71%	8	13	61.54%	5	13	38.46%	16	5	17	11	26	12	100.0%	50.0%	85.7%	135.7	FUN

	Puck Time
Offensive Zone	16
Neutral Zone	26
Defensive Zone	17

	Puck Time
Offensive Zone Start	7
Neutral Zone Start	13
Defensive Zone Start	13

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	19
Faceoffs Lost	14

	Team Average Shots after	League Average Shots after
1st Period	1.0	9.57
2nd Period	7.0	20.31
3rd Period	10.0	30.68
Overtime	10.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.0	0.64
2nd Period	4.0	1.65
3rd Period	5.0	2.67
Overtime	5.0	2.83


Even Strenght Goal	3
PP Goal	2
PK Goal	0
Empty Net Goal	0

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


PP Attempt	4
PP Goal	2
PK Attempt	4
PK Goal Against	2

	Home
Shots For	10.0
Shots Against	14.0
Goals For	5.0
Goals Against	2.0
Hits	13.0
Shots Blocked	8.0
Pim	8.0

Schedule

Date	Matchup			Result	Detail
Mon, Oct 12	MIN	@	DAL	MIN2,DAL5	RECAP
Tue, Oct 13	DAL	@	PHI
Thu, Oct 15	DET	@	DAL
Sat, Oct 17	DAL	@	OTT
Mon, Oct 19	DAL	@	CHI
Wed, Oct 21	CHI	@	DAL
Fri, Oct 23	PIT	@	DAL
Sun, Oct 25	DAL	@	TAM
Tue, Oct 27	STL	@	DAL
Thu, Oct 29	DAL	@	DET
Sat, Oct 31	DET	@	DAL
Mon, Nov 2	DAL	@	CHI
Wed, Nov 4	FLO	@	DAL
Fri, Nov 6	DAL	@	STL
Sun, Nov 8	DET	@	DAL
Tue, Nov 10	DAL	@	SEA
Thu, Nov 12	DAL	@	DET
Sat, Nov 14	LOS	@	DAL
Mon, Nov 16	NYR	@	DAL
Wed, Nov 18	DAL	@	CAL
Fri, Nov 20	PIT	@	DAL
Sun, Nov 22	DAL	@	CAR
Tue, Nov 24	ANA	@	DAL
Thu, Nov 26	DAL	@	NAS
Sat, Nov 28	NAS	@	DAL
Mon, Nov 30	DAL	@	CLB
Tue, Dec 1	DAL	@	PHO
Thu, Dec 3	CHI	@	DAL
Sat, Dec 5	EDM	@	DAL
Mon, Dec 7	DAL	@	MTL
Tue, Dec 8	DAL	@	BUF
Thu, Dec 10	BUF	@	DAL
Sat, Dec 12	DAL	@	ANA
Mon, Dec 14	PHO	@	DAL
Wed, Dec 16	DAL	@	VAN
Thu, Dec 17	VAN	@	DAL
Sun, Dec 20	STL	@	DAL
Mon, Dec 21	DAL	@	PHI
Wed, Dec 23	DAL	@	PHO
Fri, Dec 25	NAS	@	DAL
Sun, Dec 27	DAL	@	S J
Tue, Dec 29	TOR	@	DAL
Thu, Dec 31	DAL	@	NJD
Fri, Jan 1	NYI	@	DAL
Sun, Jan 3	DAL	@	CHI
Mon, Jan 4	TAM	@	DAL
Wed, Jan 6	DAL	@	CHI
Fri, Jan 8	DAL	@	NYI
Sat, Jan 9	CAL	@	DAL
Mon, Jan 11	DAL	@	WAS
Tue, Jan 12	NJD	@	DAL
Thu, Jan 14	DAL	@	PIT
Sat, Jan 16	OTT	@	DAL
Mon, Jan 18	DAL	@	NAS
Wed, Jan 20	COL	@	DAL
Fri, Jan 22	MTL	@	DAL
Sun, Jan 24	PHI	@	DAL
Mon, Jan 25	DAL	@	TOR
Thu, Jan 28	CLB	@	DAL
Sat, Jan 30	DAL	@	EDM
Mon, Feb 1	EDM	@	DAL
Tue, Feb 2	DAL	@	COL
Thu, Feb 4	DAL	@	STL
Fri, Feb 5	SEA	@	DAL
Mon, Feb 8	WPG	@	DAL
Wed, Feb 10	DAL	@	WPG
Thu, Feb 11	WPG	@	DAL
Sat, Feb 13	DAL	@	MIN
Mon, Feb 15	MIN	@	DAL
Wed, Feb 17	DAL	@	WPG
Fri, Feb 19	CAR	@	DAL
Sat, Feb 20	DAL	@	FLO
Tue, Feb 23	S J	@	DAL
Wed, Feb 24	DAL	@	NYR
Sat, Feb 27	BOS	@	DAL
Sun, Feb 28	DAL	@	LOS
Wed, Mar 3	WAS	@	DAL
Thu, Mar 4	DAL	@	MIN
Sat, Mar 6	DAL	@	PHI
Tue, Mar 9	CHI	@	DAL
Fri, Mar 12	DAL	@	BOS
Sun, Mar 14	CHI	@	DAL
Mon, Mar 15	DAL	@	PHI
Trade Deadline --- Trades can�t be done after this day is simulated!
Sat, Mar 20	WAS	@	DAL