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
Oskar Back	0	C/LW	99.00	69	40	92	74	84	82	75	69	61	68	64	74	69	57	50	1	50	69	26	975,000$/2yrs
Dalibor Dvorsky	0	C/RW	99.00	69	41	79	71	79	77	70	71	62	66	68	63	70	55	50	1	50	66	21	975,000$/2yrs
Nick Lardis (R)	0	LW/RW	100.00	66	40	79	77	71	81	64	70	42	64	69	60	72	54	50	1	50	66	20	975,000$/3yrs
Noah Laba	0	C	99.00	72	50	75	70	80	76	68	68	64	67	64	67	67	53	50	1	50	66	22	975,000$/3yrs
Reid Schaefer	0	LW	100.00	76	50	78	68	85	70	64	65	43	59	62	65	65	53	50	1	50	64	22	975,000$/1yrs
Isaac Howard (R)	0	LW	100.00	60	40	79	73	74	78	64	66	40	62	62	60	67	54	50	1	50	63	22	975,000$/3yrs
Taylor Ward	0	RW	100.00	65	52	74	67	77	75	67	67	43	63	61	63	65	57	50	1	50	63	28	1,100,000$/1yrs
Ivan Miroshnichenko	0	LW/RW	99.00	65	42	69	69	72	68	60	65	42	63	59	61	64	53	50	1	50	62	22	975,000$/1yrs
Joshua Roy	0	LW/RW	100.00	60	42	72	69	65	65	62	66	44	62	62	58	66	50	50	1	50	61	22	975,000$/1yrs
William Stromgren	0	LW/RW	100.00	59	43	68	66	65	65	63	64	44	65	56	58	62	51	50	1	50	60	23	975,000$/2yrs
Zac Jones	0	D	99.00	58	41	76	74	68	74	70	70	40	69	63	70	69	59	54	1	50	67	25	1,500,000$/3yrs
Donovan Sebrango	0	D	99.00	68	65	59	70	79	76	68	66	40	63	59	69	65	55	50	1	50	66	24	1,125,000$/3yrs
Gustav Lindström	0	D	100.00	66	43	72	70	70	74	70	63	40	59	59	69	64	70	54	1	50	65	27	1,000,000$/2yrs
Tobie Bisson	0	D	100.00	63	42	72	66	66	70	68	61	40	55	54	68	60	59	52	1	50	62	29	1,000,000$/2yrs
Caden Price (R)	0	D	100.00	62	41	70	66	64	60	60	60	40	60	60	65	60	50	50	1	50	61	20	975,000$/3yrs
Luke Rowe	0	D	100.00	63	51	60	66	64	68	66	60	40	55	53	68	60	55	50	1	50	61	27	1,000,000$/2yrs
Mattias Havelid (R)	0	D	100.00	60	41	70	70	60	62	61	61	40	60	60	62	62	50	50	1	50	61	22	975,000$/3yrs
Jack Millar	0	D	100.00	68	41	71	62	71	64	61	58	40	54	51	68	57	52	50	1	50	61	25	1,000,000$/2yrs
Scratches
Emmitt Finnie	0	C/LW	94.78	73	40	86	74	76	76	66	71	63	67	66	65	70	53	50	1	50	67	21	845,000$/1yrs
Michael Pezzetta	0	LW	100.00	72	54	66	63	75	69	68	62	42	56	56	58	60	60	52	1	50	60	28	1,150,000$/3yrs
Zayde Wisdom	0	C	100.00	62	43	71	67	64	66	64	62	59	58	56	60	62	51	50	1	50	60	23	1,555,000$/2yrs
Noel Nordh (R)	0	LW	100.00	61	41	72	61	65	62	61	60	42	60	60	60	60	50	50	1	50	59	21	975,000$/3yrs
Oskar Olausson	0	RW	100.00	58	42	72	66	63	64	62	63	42	60	56	55	62	51	50	1	50	59	23
Devin Kaplan	0	RW	100.00	59	44	65	63	72	69	61	61	41	56	55	55	60	50	50	1	50	58	22	921,667$/1yrs
Logan Brown	0	C	100.00	64	40	71	57	71	65	63	59	47	59	52	59	56	56	50	1	50	58	28	1,280,000$/1yrs
Jackson Hallum (R)	0	LW	100.00	58	42	61	64	60	61	59	58	41	56	53	57	58	51	50	1	50	57	23	975,000$/3yrs
Michael Milne	0	LW	100.00	55	43	65	65	63	62	60	59	42	53	53	51	59	51	50	1	50	56	23	975,000$/2yrs
Raivis Ansons	0	LW	100.00	61	41	68	63	64	62	59	55	41	51	51	55	56	52	50	1	50	56	24	975,000$/2yrs
Niko Huuhtanen	0	RW	100.00	60	41	57	58	60	56	55	55	41	52	51	57	54	50	50	1	50	54	23	867,500$/1yrs
Matt Filipe	0	LW	100.00	54	41	59	54	57	58	57	53	40	51	52	52	53	54	50	1	50	53	28	975,000$/1yrs
Lucas Edmonds	0	RW	100.00	52	40	65	60	53	57	55	53	41	51	51	52	54	52	50	1	50	53	25	975,000$/1yrs
Ryder Korczak	0	C	100.00	53	41	65	59	54	57	56	54	41	52	51	52	54	50	50	1	50	53	23	975,000$/1yrs
Mark Friedman	0	D	100.00	55	41	63	61	57	63	60	56	40	55	52	62	55	62	52	1	50	58	30	1,425,000$/1yrs
Artem Guryev (R)	0	D	100.00	60	40	66	58	66	56	54	51	40	50	50	58	53	51	50	1	50	56	23	975,000$/2yrs
Daniil Chayka	0	D	100.00	54	40	60	58	59	54	53	52	40	51	50	54	52	50	50	1	50	54	23	975,000$/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
Drew Commesso	0	98.00	70	64	69	63	68	69	73	69	71	69	58	51	50	1	50	63	23	975,000$/1yrs
Carson Bjarnason	0	100.00	63	59	64	66	65	65	67	63	66	64	62	50	50	1	50	59	21	975,000$/3yrs
Scratches
Isaac Poulter	0	100.00	68	58	60	61	63	63	65	62	65	64	55	52	50	1	50	58	24	1,435,000$/1yrs
Nick Grabko	0	100.00	61	58	57	62	59	56	56	54	56	59	54	52	50	1	50	53	26

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Lambert	75	73	68	74	61	57	1	CAN	56	3	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	PSG	PSS	GSAVG
1	Taylor Ward	Wolf Pack (NYR)	RW	15	1	6	7	2	6	0	24	15	10	10	6.67%	8	17.31	0	3	3	0	0	0	48.28%	0	0	0.47	0	1	0.43
2	Dalibor Dvorsky	Wolf Pack (NYR)	C/RW	15	3	3	6	-10	2	0	21	30	10	23	10.00%	7	20.10	0	3	3	12	0	0	56.41%	0	0	0.40	0	0	0.25
3	Noah Laba	Wolf Pack (NYR)	C	15	2	4	6	-13	9	5	14	33	10	20	6.06%	8	21.82	1	1	2	15	0	0	50.50%	0	0	0.40	1	2	0.07
4	Oskar Back	Wolf Pack (NYR)	C/LW	10	1	5	6	-2	0	0	15	43	11	23	2.33%	6	25.09	0	0	0	17	0	0	51.91%	0	0	0.60	1	2	0.75
5	Joshua Roy	Wolf Pack (NYR)	LW/RW	15	3	2	5	-7	2	0	26	21	3	21	14.29%	3	17.33	2	0	2	15	1	0	53.00%	0	0	0.33	0	1	0.22
6	Nick Lardis	Wolf Pack (NYR)	LW/RW	12	3	1	4	-1	4	0	14	23	9	20	13.04%	3	17.78	0	0	0	3	0	1	47.06%	0	0	0.33	1	1	0.36
7	Donovan Sebrango	Wolf Pack (NYR)	D	15	0	4	4	-4	16	10	14	11	7	7	0.00%	9	21.18	0	0	0	20	0	0	0.00%	0	0	0.27	0	0	-0.02
8	Gustav Lindström	Wolf Pack (NYR)	D	15	2	1	3	-3	4	0	11	15	4	5	13.33%	25	21.53	2	0	2	22	0	0	0.00%	0	0	0.20	0	0	0.17
9	Zac Jones	Wolf Pack (NYR)	D	10	1	2	3	-7	0	0	13	10	12	7	10.00%	7	24.04	1	0	1	19	1	0	0.00%	0	0	0.30	0	0	0.12
10	Isaac Howard	Wolf Pack (NYR)	LW	12	1	1	2	2	0	0	19	14	4	7	7.14%	8	17.30	0	1	1	1	0	0	35.29%	0	0	0.17	0	1	0.33
11	Reid Schaefer	Wolf Pack (NYR)	LW	15	1	1	2	-12	2	0	18	13	5	9	7.69%	3	15.73	1	0	1	3	0	0	71.43%	0	0	0.13	0	0	-0.10
12	Michael Pezzetta	Wolf Pack (NYR)	LW	10	1	1	2	-6	4	0	5	10	1	4	10.00%	4	12.76	0	1	1	7	0	0	40.00%	0	0	0.20	0	1	-0.06
13	William Stromgren	Wolf Pack (NYR)	LW/RW	8	1	1	2	0	0	0	8	5	2	3	20.00%	0	9.49	0	0	0	4	0	0	40.00%	0	0	0.25	0	0	0.25
14	Ivan Miroshnichenko	Wolf Pack (NYR)	LW/RW	10	1	0	1	0	4	0	9	13	6	12	7.69%	4	17.20	0	0	0	11	1	0	30.77%	0	0	0.10	0	0	0.16
15	Luke Rowe	Wolf Pack (NYR)	D	15	0	1	1	-2	4	0	9	1	3	2	0.00%	7	11.01	0	0	0	4	0	0	0.00%	0	0	0.07	0	0	-0.02
16	Devin Kaplan	Wolf Pack (NYR)	RW	3	0	1	1	-1	4	0	4	2	1	1	0.00%	1	17.02	0	0	0	0	0	0	0.00%	0	0	0.33	0	0	-0.03
17	Mattias Havelid	Wolf Pack (NYR)	D	12	0	1	1	-2	6	0	3	0	1	0	0.00%	9	10.31	0	1	1	0	0	0	0.00%	0	0	0.08	0	0	-0.06
18	Mark Friedman	Wolf Pack (NYR)	D	3	1	0	1	-2	0	0	6	3	0	1	33.33%	7	28.28	0	0	0	6	0	0	0.00%	0	0	0.33	0	0	0.18
19	Tobie Bisson	Wolf Pack (NYR)	D	15	0	1	1	-7	4	0	8	4	5	1	0.00%	7	17.60	0	0	0	16	0	0	0.00%	0	0	0.07	0	0	-0.14
20	Artem Guryev	Wolf Pack (NYR)	D	3	0	0	0	-2	0	0	0	0	0	0	0.00%	1	3.46	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	-0.23
21	Caden Price	Wolf Pack (NYR)	D	12	0	0	0	-2	2	0	2	5	2	3	0.00%	3	11.44	0	0	0	1	0	0	23.08%	0	0	0.00	0	0	-0.05
22	Emmitt Finnie	Wolf Pack (NYR)	C/LW	3	0	0	0	-2	0	0	1	3	0	3	0.00%	1	14.40	0	0	0	0	0	0	71.43%	0	0	0.00	0	0	-0.16
23	Jack Millar	Wolf Pack (NYR)	D	15	0	0	0	-2	4	0	8	5	1	3	0.00%	8	14.41	0	0	0	4	0	0	0.00%	0	0	0.00	0	0	-0.04
24	Logan Brown	Wolf Pack (NYR)	C	3	0	0	0	1	0	0	2	3	0	1	0.00%	1	18.72	0	0	0	0	0	0	32.00%	0	0	0.00	0	0	0.14
25	Niko Huuhtanen	Wolf Pack (NYR)	RW	3	0	0	0	-2	0	0	0	0	0	0	0.00%	0	1.47	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	-0.23
26	Zayde Wisdom	Wolf Pack (NYR)	C	5	0	0	0	0	0	0	0	0	0	0	0.00%	0	2.03	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	-0.00
Team Total or Average			269	22	36	58	-84	77	15	254	282	107	186	7.80%	140	16.65	7	10	17	282	190	3	1	49.92%	659	70	94	0	0	0.26	3	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	Drew Commesso	Wolf Pack (NYR)	13	4	7	2	0.908	2.44	788	0	1	32	349	199	1	2	0.429	7	13	2	1	1	0
2	Carson Bjarnason	Wolf Pack (NYR)	2	0	1	1	0.862	3.84	125	0	0	8	58	26	0	0	0.667	3	2	10	0	0	0
Team Total or Average		15	4	8	3	0.902	2.63	913	0	1	40	407	225	1	2	0.500	10	15	12	1	1	0

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21
Artem Guryev	D	23	975,000$	975,000$	975,000$	RFA
Caden Price	D	20	975,000$	975,000$	975,000$	975,000$	RFA
Carson Bjarnason	G	21	975,000$	975,000$	975,000$	975,000$	RFA
Dalibor Dvorsky	C/RW	21	975,000$	975,000$	975,000$	RFA
Daniil Chayka	D	23	975,000$	975,000$	RFA
Devin Kaplan	RW	22	921,667$	975,000$	RFA
Donovan Sebrango	D	24	1,125,000$	1,125,000$	1,125,000$	1,125,000$	RFA
Drew Commesso	G	23	975,000$	975,000$	RFA
Emmitt Finnie	C/LW	21	845,000$	975,000$	RFA
Gustav Lindström	D	27	1,000,000$	1,000,000$	1,000,000$	UFA
Isaac Howard	LW	22	975,000$	975,000$	975,000$	975,000$	RFA
Isaac Poulter	G	24	1,435,000$	1,435,000$	RFA
Ivan Miroshnichenko	LW/RW	22	975,000$	975,000$	RFA
Jack Millar	D	25	1,000,000$	1,000,000$	1,000,000$	RFA
Jackson Hallum	LW	23	975,000$	975,000$	975,000$	975,000$	RFA
Joshua Roy	LW/RW	22	975,000$	975,000$	RFA
Logan Brown	C	28	1,280,000$	1,280,000$	UFA
Lucas Edmonds	RW	25	975,000$	975,000$	RFA
Luke Rowe	D	27	1,000,000$	1,000,000$	1,000,000$	UFA
Mark Friedman	D	30	1,425,000$	1,425,000$	UFA
Matt Filipe	LW	28	975,000$	975,000$	UFA
Mattias Havelid	D	22	975,000$	975,000$	975,000$	975,000$	RFA
Michael Milne	LW	23	975,000$	975,000$	975,000$	RFA
Michael Pezzetta	LW	28	1,150,000$	1,150,000$	1,150,000$	1,150,000$	UFA
Nick Grabko	G	26	0$	RFA
Nick Lardis	LW/RW	20	975,000$	975,000$	975,000$	975,000$	RFA
Niko Huuhtanen	RW	23	867,500$	975,000$	RFA
Noah Laba	C	22	975,000$	975,000$	975,000$	975,000$	RFA
Noel Nordh	LW	21	975,000$	975,000$	975,000$	975,000$	RFA
Oskar Back	C/LW	26	975,000$	975,000$	975,000$	UFA
Oskar Olausson	RW	23	0$	RFA
Raivis Ansons	LW	24	975,000$	975,000$	975,000$	RFA
Reid Schaefer	LW	22	975,000$	975,000$	RFA
Ryder Korczak	C	23	975,000$	975,000$	RFA
Taylor Ward	RW	28	1,100,000$	1,100,000$	UFA
Tobie Bisson	D	29	1,000,000$	1,000,000$	1,000,000$	UFA
William Stromgren	LW/RW	23	975,000$	975,000$	975,000$	RFA
Zac Jones	D	25	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Zayde Wisdom	C	23	1,555,000$	1,555,000$	1,555,000$	RFA

Lines

Forward Lines
# - Noah Laba	# - Oskar Back	# - Nick Lardis
# - Reid Schaefer	# - Noah Laba	# - Dalibor Dvorsky
# - Isaac Howard	# - Oskar Back	# - Taylor Ward
# - Ivan Miroshnichenko	# - Oskar Back	# - Joshua Roy

Defensive Pairings
# - Zac Jones	# - Donovan Sebrango
# - Gustav Lindström	# - Tobie Bisson
# - Mattias Havelid	# - Jack Millar

1st Power Play Unit
# - Noah Laba		# - Oskar Back		# - Nick Lardis
# - Zac Jones			# - Donovan Sebrango

2nd Power Play Unit
# - Reid Schaefer		# - Noah Laba		# - Dalibor Dvorsky
# - Gustav Lindström			# - Tobie Bisson

Goalies
# - Drew Commesso		# - Carson Bjarnason

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	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%	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	0	1	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	8	9	6	3	21	64	114	99	16	29	12	4	18	2	0	0.00%	2	0	100.00%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	20.0%	4.8%	86.2%	91.0	Unlucky
2	Wolves	4	0	4	0	0	0	6	16	-10	0	0.000	6	9	15	1	0	8	9	6	3	77	64	114	99	16	145	42	18	77	12	2	16.67%	9	5	44.44%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	26.7%	7.8%	89.0%	96.8	Unlucky
3	Eagles	2	0	1	0	1	0	3	5	-2	2	0.500	3	4	7	0	0	8	9	6	3	43	64	114	99	16	37	14	9	38	5	1	20.00%	2	0	100.00%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	28.6%	7.0%	86.5%	93.5	Unlucky
4	Checkers 1	2	2	0	0	0	0	4	2	2	4	1.000	4	5	9	0	1	8	9	6	3	18	64	114	99	16	36	11	6	23	3	2	66.67%	3	2	33.33%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	100.0%	22.2%	94.4%	116.7	LUCKY
5	Belleville Senators	1	0	1	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	8	9	6	3	16	64	114	99	16	26	15	8	15	0	0	0.00%	4	0	100.00%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	0.0%	0.0%	88.5%	88.5	Unlucky
6	Penguins	1	0	0	1	0	0	2	3	-1	1	0.500	2	3	5	0	0	8	9	6	3	22	64	114	99	16	24	7	6	14	7	2	28.57%	3	1	66.67%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	0.0%	9.1%	87.5%	96.6	FUN
7	Barracuda	1	0	0	0	0	1	1	2	-1	1	0.500	1	2	3	0	0	8	9	6	3	6	64	114	99	16	17	6	2	15	1	0	0.00%	1	0	100.00%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	33.3%	16.7%	88.2%	104.9	FUN
8	Thunderbirds	1	0	0	0	0	1	3	4	-1	1	0.500	3	4	7	0	0	8	9	6	3	24	64	114	99	16	39	16	2	29	3	0	0.00%	1	1	0.00%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	50.0%	12.5%	89.7%	102.2	FUN
9	Crunch	1	1	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	8	9	6	3	32	64	114	99	16	26	11	9	11	2	0	0.00%	2	0	100.00%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	60.0%	9.4%	92.3%	101.7	LUCKY
10	Hershey Bears	1	0	1	0	0	0	1	3	-2	0	0.000	1	2	3	1	0	8	9	6	3	25	64	114	99	16	30	6	13	16	0	0	0.00%	4	0	100.00%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	25.0%	4.0%	90.0%	94.0	Unlucky
	_Vs Division	4	2	5	1	0	0	7	7	0	5	0.625	7	10	17	0	1	8	9	6	3	66	64	114	99	16	88	37	23	49	5	2	40.00%	9	2	77.78%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	50.0%	10.6%	92.0%	102.7	LUCKY
	_Vs Conference	10	3	6	1	0	0	16	29	-13	7	0.350	16	24	40	2	1	8	9	6	3	190	64	114	99	16	287	92	60	156	24	6	25.00%	25	8	68.00%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	32.3%	8.4%	89.9%	98.3	Unlucky
	_Since Last GM Reset	15	3	8	1	1	2	24	44	-20	11	0.367	24	36	60	2	1	8	9	6	3	284	64	114	99	16	409	140	77	256	35	7	20.00%	31	9	70.97%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	32.7%	8.5%	89.2%	97.7	Unlucky
	Total	15	3	8	1	1	2	24	44	-20	11	0.367	24	36	60	2	1	8	9	6	3	284	64	114	99	16	409	140	77	256	35	7	20.00%	31	9	70.97%	114	221	51.58%	126	261	48.28%	89	164	54.27%	266	107	302	154	346	182	32.7%	8.5%	89.2%	97.7	Unlucky

	Puck Time
Offensive Zone	17
Neutral Zone	23
Defensive Zone	20

	Puck Time
Offensive Zone Start	221
Neutral Zone Start	164
Defensive Zone Start	261

	Puck Time
With Puck	29
Without Puck	31

	Faceoffs
Faceoffs Won	329
Faceoffs Lost	317

	Team Average Shots after	League Average Shots after
1st Period	4.3	9.57
2nd Period	11.9	20.31
3rd Period	18.5	30.68
Overtime	19.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.5	0.64
2nd Period	1.1	1.65
3rd Period	1.5	2.67
Overtime	1.7	2.83


Even Strenght Goal	15
PP Goal	7
PK Goal	0
Empty Net Goal	2

	Home	Away
Win	1	3
Lost	4	4
Overtime Lost	3	0


PP Attempt	35
PP Goal	7
PK Attempt	31
PK Goal Against	9

	Home
Shots For	18.9
Shots Against	27.3
Goals For	1.6
Goals Against	2.9
Hits	17.1
Shots Blocked	9.3
Pim	5.1

Schedule

Date	Matchup			Result	Detail
Mon, Oct 12	NYR	@	FLO	NYR3,FLO2	RECAP
Wed, Oct 14	PIT	@	NYR	PIT3,NYR2 (OT)	RECAP
Thu, Oct 15	CAL	@	NYR	CAL4,NYR1	RECAP
Sat, Oct 17	S J	@	NYR	S J2,NYR1 (SO)	RECAP
Mon, Oct 19	NYR	@	CAR	NYR2,CAR7	RECAP
Wed, Oct 21	STL	@	NYR	STL4,NYR3 (SO)	RECAP
Fri, Oct 23	NYR	@	COL	NYR1,COL4	RECAP
Sun, Oct 25	COL	@	NYR	COL1,NYR2 (SO)	RECAP
Tue, Oct 27	NYR	@	CAR	NYR3,CAR5	RECAP
Thu, Oct 29	NYR	@	WAS	NYR1,WAS3	RECAP
Sat, Oct 31	CAR	@	NYR	CAR3,NYR1	RECAP
Mon, Nov 2	NYR	@	FLO	NYR1,FLO0	RECAP
Wed, Nov 4	CAR	@	NYR	CAR1,NYR0	RECAP
Fri, Nov 6	NYR	@	TAM	NYR3,TAM2	RECAP
Sun, Nov 8	OTT	@	NYR	OTT3,NYR0	RECAP
Tue, Nov 10	NYR	@	DET
Fri, Nov 13	TAM	@	NYR
Sat, Nov 14	SEA	@	NYR
Mon, Nov 16	NYR	@	DAL
Wed, Nov 18	NYR	@	FLO
Fri, Nov 20	COL	@	NYR
Sun, Nov 22	NYR	@	STL
Mon, Nov 23	NYR	@	PHI
Thu, Nov 26	CHI	@	NYR
Sat, Nov 28	FLO	@	NYR
Mon, Nov 30	NYR	@	SEA
Tue, Dec 1	BUF	@	NYR
Thu, Dec 3	NYR	@	BUF
Sat, Dec 5	NYR	@	BOS
Sun, Dec 6	EDM	@	NYR
Tue, Dec 8	NYR	@	CHI
Thu, Dec 10	NAS	@	NYR
Sat, Dec 12	PIT	@	NYR
Mon, Dec 14	NYR	@	NAS
Wed, Dec 16	NYR	@	ANA
Thu, Dec 17	DET	@	NYR
Sun, Dec 20	VAN	@	NYR
Tue, Dec 22	NYR	@	CLB
Wed, Dec 23	NYR	@	VAN
Fri, Dec 25	NYR	@	EDM
Sat, Dec 26	CAL	@	NYR
Mon, Dec 28	WAS	@	NYR
Wed, Dec 30	NYR	@	TOR
Fri, Jan 1	TOR	@	NYR
Sun, Jan 3	NYR	@	WPG
Mon, Jan 4	PHO	@	NYR
Thu, Jan 7	NYR	@	MTL
Fri, Jan 8	NYR	@	NJD
Sat, Jan 9	CHI	@	NYR
Mon, Jan 11	NYR	@	MIN
Tue, Jan 12	WAS	@	NYR
Fri, Jan 15	MTL	@	NYR
Sun, Jan 17	NYR	@	CHI
Mon, Jan 18	NYR	@	OTT
Wed, Jan 20	NYR	@	ANA
Thu, Jan 21	BOS	@	NYR
Sat, Jan 23	NJD	@	NYR
Mon, Jan 25	NYR	@	NYI
Wed, Jan 27	NYI	@	NYR
Fri, Jan 29	MIN	@	NYR
Sun, Jan 31	NYR	@	LOS
Mon, Feb 1	PHI	@	NYR
Wed, Feb 3	NYR	@	PHI
Thu, Feb 4	WPG	@	NYR
Sun, Feb 7	NYR	@	S J
Tue, Feb 9	PHI	@	NYR
Thu, Feb 11	NYR	@	NJD
Sat, Feb 13	NYI	@	NYR
Mon, Feb 15	ANA	@	NYR
Thu, Feb 18	NYR	@	CAL
Fri, Feb 19	LOS	@	NYR
Mon, Feb 22	NYR	@	WAS
Tue, Feb 23	NYR	@	NYI
Wed, Feb 24	DAL	@	NYR
Sat, Feb 27	CLB	@	NYR
Tue, Mar 2	NYR	@	BOS
Wed, Mar 3	CAR	@	NYR
Thu, Mar 4	NYR	@	PHO
Mon, Mar 8	NYR	@	COL
Tue, Mar 9	FLO	@	NYR
Fri, Mar 12	CLB	@	NYR
Mon, Mar 15	NYR	@	PIT
Trade Deadline --- Trades can�t be done after this day is simulated!
Thu, Mar 18	BOS	@	NYR
Fri, Mar 19	NYR	@	PIT