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
Igor Chernyshov (R)	0	LW/RW	100.00	60	40	80	73	81	83	64	70	40	68	68	63	70	54	50	1	50	66	20	975,000$/3yrs
Daniil But (R)	0	LW/RW	100.00	60	40	80	71	84	81	64	67	49	63	63	64	67	54	50	1	50	65	21	975,000$/3yrs
Porter Martone (R)	0	RW	100.00	64	40	73	71	86	86	60	67	42	65	64	63	67	54	50	1	50	65	19	975,000$/3yrs
Justin Dowling	0	C	100.00	58	40	77	68	61	74	74	64	64	63	57	57	63	77	69	1	50	63	35	4,500,000$/1yrs
Felix Unger Sorum (R)	0	RW	100.00	60	42	72	70	59	60	58	64	44	64	57	62	64	50	50	1	50	60	20	975,000$/3yrs
Ben Hemmerling	0	RW	100.00	63	41	71	70	61	62	60	62	42	60	58	63	63	50	50	1	50	60	22	975,000$/1yrs
Quentin Musty (R)	0	LW	100.00	60	43	64	64	66	60	60	65	43	62	61	60	63	50	50	1	50	60	20	975,000$/3yrs
Curtis McKenzie	0	C/LW/RW	100.00	54	50	60	60	63	72	72	63	43	61	57	55	60	73	69	1	50	60	35	1,000,000$/1yrs
Cooper Marody	0	C/LW/RW	100.00	55	42	69	64	62	69	67	61	42	59	56	56	60	59	50	1	50	59	29	1,500,000$/2yrs
Jakub Rychlovsky (R)	0	LW	100.00	62	42	70	66	62	64	62	59	42	58	53	62	59	52	50	1	50	59	24	975,000$/3yrs
Joakim Kemell	0	RW	100.00	56	45	65	65	64	63	61	63	43	62	57	52	62	50	50	1	50	59	22	1,000,000$/4yrs
Hunter Brzustewicz	0	D	100.00	60	40	79	72	74	77	64	67	40	64	62	66	67	55	50	1	50	65	21	950,000$/1yrs
Ryan Mast	0	D	100.00	67	41	72	62	73	63	60	58	40	56	50	66	57	51	50	1	50	61	23	975,000$/1yrs
Trey Taylor	0	D	100.00	59	42	68	67	64	65	62	61	40	57	56	64	61	52	50	1	50	61	24	1,000,000$/1yrs
Travis Mitchell	0	D	100.00	61	55	57	63	68	67	65	62	40	57	53	62	59	54	50	1	50	60	26	1,000,000$/1yrs
Ethan Edwards	0	D	100.00	59	45	63	68	63	63	61	61	40	55	58	62	62	52	50	1	50	60	24	1,000,000$/4yrs
Connor Carrick	0	D	100.00	53	53	52	65	56	66	65	62	40	57	61	63	62	65	52	1	50	60	32	4,500,000$/2yrs
Topi Niemelä	0	D	100.00	56	42	71	68	61	64	62	62	40	62	55	63	62	51	50	1	50	60	24	975,000$/1yrs
Scratches
Cam Squires (R)	0	RW	100.00	60	41	70	66	62	62	60	60	42	60	60	60	60	50	50	1	50	59	21	975,000$/3yrs
Cole Eiserman (R)	0	C/LW/RW	100.00	62	40	68	62	64	60	60	60	41	60	60	60	60	50	50	1	50	59	19	975,000$/3yrs
James Hagens (R)	0	C/LW	100.00	60	40	68	64	60	60	60	60	41	60	60	60	60	50	50	1	50	59	19	975,000$/3yrs
Filip Mesar	0	RW	100.00	59	42	71	67	60	64	62	61	42	60	54	58	61	50	50	1	50	59	22	886,667$/1yrs
Cole Bardreau	0	C/LW/RW	100.00	53	50	61	62	60	72	71	61	44	59	54	52	59	65	56	1	50	58	32	1,550,000$/1yrs
Ondrej Becher	0	C	100.00	61	42	68	64	65	63	62	61	59	59	55	57	60	50	50	1	50	58	22	867,500$/1yrs
Anthony Vincent	0	C/LW/RW	100.00	56	57	56	64	62	69	67	61	42	54	54	55	60	57	50	1	50	58	28	1,000,000$/1yrs
Rocco Grimaldi	0	RW	100.00	51	41	65	60	51	66	65	61	43	60	55	52	59	65	52	1	50	57	33	3,500,000$/1yrs
Ryan McGregor	0	C	100.00	57	41	72	65	60	66	63	57	57	54	51	55	58	55	50	1	50	57	27	1,000,000$/4yrs
Carson Bantle	0	LW	100.00	64	44	63	58	70	63	61	56	41	51	52	56	55	52	50	1	50	56	24	1,000,000$/4yrs
Alex Limoges	0	C	100.00	54	40	66	60	58	62	60	58	42	58	54	54	57	55	50	1	50	56	28	1,000,000$/4yrs
Jakub Demek	0	C	100.00	57	40	66	55	60	56	54	54	41	53	51	51	53	50	50	1	50	53	23	975,000$/1yrs
Evan Polei	0	LW	100.00	56	43	56	53	62	59	57	53	40	51	51	53	52	58	50	1	50	53	30	1,550,000$/1yrs
Tanner Dickinson	0	C	100.00	52	40	67	59	54	59	57	53	52	51	51	51	53	51	50	1	50	53	24	975,000$/1yrs
Greg Meireles	0	RW	100.00	53	40	60	57	56	58	55	52	40	51	50	51	52	54	50	1	50	53	27	6,000,000$/2yrs
Tommy Bergsland	0	D	100.00	59	41	70	65	62	62	59	55	40	51	51	61	56	52	50	1	50	58	25	1,000,000$/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
Martin Jones	0	98.00	64	72	71	72	70	70	68	71	71	68	66	86	76	1	50	65	36	1,000,000$/1yrs
Spencer Martin	0	100.00	70	70	71	65	69	67	68	65	68	70	67	67	60	1	50	63	31	1,000,000$/3yrs
Scratches
Dylan Ferguson	0	100.00	61	57	53	57	57	56	57	54	57	57	51	54	50	1	50	52	27	1,000,000$/1yrs
Dryden McKay	0	100.00	59	55	53	56	55	52	52	50	52	55	53	55	50	1	50	50	28	1,000,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dave Hakstol	70	80	80	76	85	67	1	CAN	57	3	550,000$

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	PKP	PKM	GW	GT	FO%	EG	HT	P/GP	PSG	PSS	GSAVG
1	Porter Martone	Wild (MIN)	RW	15	8	5	13	-4	7	5	29	46	11	29	17.39%	5	20.27	3	2	5	0	0	17	1	1	38.46%	0	0	0.87	0	2	0.78
2	Daniil But	Wild (MIN)	LW/RW	14	8	4	12	-3	4	0	17	54	13	25	14.81%	5	22.57	4	2	6	0	0	26	0	1	33.33%	0	1	0.86	0	2	0.85
3	Igor Chernyshov	Wild (MIN)	LW/RW	11	6	5	11	-3	2	0	13	44	10	31	13.64%	9	24.83	1	2	3	1	1	19	1	1	47.17%	0	0	1.00	2	2	1.00
4	Justin Dowling	Wild (MIN)	C	11	3	7	10	-3	8	0	20	33	12	15	9.09%	2	19.82	1	3	4	0	0	12	1	0	50.00%	0	0	0.91	0	1	0.70
5	Hunter Brzustewicz	Wild (MIN)	D	14	2	7	9	2	2	0	21	22	8	7	9.09%	21	26.17	0	2	2	0	0	31	0	0	0.00%	0	0	0.64	0	0	0.68
6	Quentin Musty	Wild (MIN)	LW	14	4	3	7	-3	8	0	23	40	10	20	10.00%	2	17.37	2	0	2	0	0	1	0	0	22.22%	0	0	0.50	0	0	0.46
7	James Hagens	Wild (MIN)	C/LW	6	0	5	5	-1	0	0	12	8	4	10	0.00%	0	15.22	0	0	0	0	0	3	0	0	41.18%	0	0	0.83	0	0	0.64
8	Curtis McKenzie	Wild (MIN)	C/LW/RW	15	0	5	5	-3	11	5	32	13	10	13	0.00%	4	18.43	0	4	4	0	0	6	0	0	46.41%	0	0	0.33	0	0	0.15
9	Felix Unger Sorum	Wild (MIN)	RW	15	2	1	3	-2	2	0	14	26	5	16	7.69%	3	12.19	0	0	0	0	0	0	0	0	54.55%	0	0	0.20	0	0	0.26
10	Trey Taylor	Wild (MIN)	D	15	0	3	3	4	2	0	14	12	3	4	0.00%	13	20.91	0	0	0	0	0	24	0	0	0.00%	0	0	0.20	0	0	0.30
11	Travis Mitchell	Wild (MIN)	D	15	0	2	2	-4	30	10	8	6	3	1	0.00%	10	15.25	0	0	0	0	0	9	0	0	0.00%	0	0	0.13	0	0	-0.29
12	Ethan Edwards	Wild (MIN)	D	15	2	0	2	-3	7	5	7	3	0	2	66.67%	2	9.56	0	0	0	0	0	6	1	0	0.00%	0	0	0.13	0	0	-0.03
13	Topi Niemelä	Wild (MIN)	D	15	1	1	2	-6	0	0	0	7	4	4	14.29%	6	14.74	0	0	0	0	0	10	0	1	0.00%	0	0	0.13	0	0	0.02
14	Cole Eiserman	Wild (MIN)	C/LW/RW	6	0	1	1	-1	4	0	7	4	1	1	0.00%	0	15.19	0	0	0	0	0	4	0	0	57.69%	0	0	0.17	0	0	0.00
15	Cooper Marody	Wild (MIN)	C/LW/RW	7	1	0	1	0	0	0	5	6	3	2	16.67%	0	10.15	0	0	0	0	0	8	0	0	39.29%	0	0	0.14	0	0	0.19
16	Ryan Mast	Wild (MIN)	D	15	0	1	1	-9	6	0	15	12	6	6	0.00%	11	20.58	0	0	0	0	0	25	0	0	100.00%	0	0	0.07	0	0	-0.12
17	Jakub Rychlovsky	Wild (MIN)	LW	7	0	1	1	-2	7	5	4	5	1	7	0.00%	3	13.15	0	0	0	0	0	4	0	0	0.00%	0	0	0.14	0	0	-0.08
18	Ben Hemmerling	Wild (MIN)	RW	15	0	1	1	0	4	0	14	13	9	8	0.00%	3	9.65	0	0	0	0	0	4	0	0	20.00%	0	0	0.07	0	0	0.11
19	Cam Squires	Wild (MIN)	RW	3	0	0	0	-1	0	0	0	1	0	0	0.00%	0	4.72	0	0	0	0	0	0	0	0	100.00%	0	0	0.00	0	0	-0.09
20	Filip Mesar	Wild (MIN)	RW	4	0	0	0	-2	0	0	4	1	0	1	0.00%	2	8.61	0	0	0	0	0	0	0	0	33.33%	0	0	0.00	0	0	-0.12
21	Connor Carrick	Wild (MIN)	D	11	0	0	0	-1	2	0	2	1	0	1	0.00%	3	8.00	0	0	0	0	0	4	0	0	0.00%	0	0	0.00	0	0	-0.04
22	Joakim Kemell	Wild (MIN)	RW	2	0	0	0	0	0	0	0	0	0	0	0.00%	0	1.07	0	0	0	0	0	0	0	0	100.00%	0	0	0.00	0	0	0.01
Team Total or Average			245	37	52	89	-45	106	30	261	357	113	203	10.36%	104	16.43	11	15	26	262	1	1	222	4	4	46.31%	637	69	69	0	1	0.44	2	7

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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Spencer Martin	Wild (MIN)	7	3	1	1	0.855	3.41	317	0	18	124	62	1	0	0.000	0	6	9	0	1	0
2	Martin Jones	Wild (MIN)	11	1	4	5	0.883	2.59	602	0	26	222	110	0	0	0.400	10	9	6	0	0	0
Team Total or Average		18	4	5	6	0.873	2.87	919	0	44	346	172	1	0	0.400	10	15	15	0	1	0

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22
Alex Limoges	C	28	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Anthony Vincent	C/LW/RW	28	1,000,000$	1,000,000$	UFA
Ben Hemmerling	RW	22	975,000$	975,000$	RFA
Cam Squires	RW	21	975,000$	975,000$	975,000$	975,000$	RFA
Carson Bantle	LW	24	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Cole Bardreau	C/LW/RW	32	1,550,000$	1,550,000$	UFA
Cole Eiserman	C/LW/RW	19	975,000$	975,000$	975,000$	975,000$	RFA
Connor Carrick	D	32	4,500,000$	4,500,000$	4,500,000$	UFA
Cooper Marody	C/LW/RW	29	1,500,000$	1,500,000$	1,500,000$	UFA
Curtis McKenzie	C/LW/RW	35	1,000,000$	1,000,000$	UFA
Daniil But	LW/RW	21	975,000$	975,000$	975,000$	975,000$	RFA
Dryden McKay	G	28	1,000,000$	1,000,000$	UFA
Dylan Ferguson	G	27	1,000,000$	1,000,000$	UFA
Ethan Edwards	D	24	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Evan Polei	LW	30	1,550,000$	1,550,000$	UFA
Felix Unger Sorum	RW	20	975,000$	975,000$	975,000$	975,000$	RFA
Filip Mesar	RW	22	886,667$	975,000$	RFA
Greg Meireles	RW	27	6,000,000$	6,000,000$	6,000,000$	UFA
Hunter Brzustewicz	D	21	950,000$	975,000$	RFA
Igor Chernyshov	LW/RW	20	975,000$	975,000$	975,000$	975,000$	RFA
Jakub Demek	C	23	975,000$	975,000$	RFA
Jakub Rychlovsky	LW	24	975,000$	975,000$	975,000$	975,000$	UFA
James Hagens	C/LW	19	975,000$	975,000$	975,000$	975,000$	RFA
Joakim Kemell	RW	22	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	RFA
Justin Dowling	C	35	4,500,000$	4,500,000$	UFA
Martin Jones	G	36	1,000,000$	1,000,000$	UFA
Ondrej Becher	C	22	867,500$	975,000$	RFA
Porter Martone	RW	19	975,000$	975,000$	975,000$	975,000$	RFA
Quentin Musty	LW	20	975,000$	975,000$	975,000$	975,000$	RFA
Rocco Grimaldi	RW	33	3,500,000$	3,500,000$	UFA
Ryan Mast	D	23	975,000$	975,000$	RFA
Ryan McGregor	C	27	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Spencer Martin	G	31	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Tanner Dickinson	C	24	975,000$	975,000$	RFA
Tommy Bergsland	D	25	1,000,000$	1,000,000$	RFA
Topi Niemelä	D	24	975,000$	975,000$	RFA
Travis Mitchell	D	26	1,000,000$	1,000,000$	RFA
Trey Taylor	D	24	1,000,000$	1,000,000$	RFA

Lines

Forward Lines
# - Igor Chernyshov	# - Justin Dowling	# - Daniil But
# - Quentin Musty	# - Curtis McKenzie	# - Porter Martone
# - Jakub Rychlovsky	# - Cooper Marody	# - Felix Unger Sorum
# - Daniil But	# - Igor Chernyshov	# - Ben Hemmerling

Defensive Pairings
# - Hunter Brzustewicz	# - Trey Taylor
# - Ryan Mast	# - Topi Niemelä
# - Travis Mitchell	# - Ethan Edwards

1st Power Play Unit
# - Igor Chernyshov		# - Justin Dowling		# - Daniil But
# - Hunter Brzustewicz			# - Trey Taylor

2nd Power Play Unit
# - Quentin Musty		# - Curtis McKenzie		# - Porter Martone
# - Ryan Mast			# - Topi Niemelä

Goalies
# - Martin Jones		# - Spencer Martin

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	SOL	GF	GA	Diff	P	PCT	G	A	TP	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	1	0	0	0	0	3	2	1	2	1.000	3	5	8	7	16	13	3	34	109	128	137	18	20	2	16	24	3	1	33.33%	8	1	87.50%	0	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	66.7%	8.8%	90.0%	98.8	Unlucky
2	Moose	2	0	1	0	1	0	1	4	-3	1	0.250	1	2	3	7	16	13	3	34	109	128	137	18	27	6	12	39	4	0	0.00%	6	1	83.33%	0	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	25.0%	2.9%	85.2%	88.1	Unlucky
3	Americans	1	1	0	0	0	0	7	3	4	2	1.000	7	12	19	7	16	13	3	36	109	128	137	18	21	10	7	27	2	2	100.00%	1	1	0.00%	0	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	71.4%	19.4%	85.7%	105.2	FUN
4	Stars	1	0	1	0	0	0	2	5	-3	0	0.000	2	3	5	7	16	13	3	14	109	128	137	18	10	2	8	14	4	2	50.00%	4	2	50.00%	0	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	0.0%	14.3%	50.0%	64.3	FUN
5	Reign	1	0	1	0	0	0	3	5	-2	0	0.000	3	5	8	7	16	13	3	17	109	128	137	18	24	8	4	15	1	1	100.00%	2	0	100.00%	0	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	28.6%	17.6%	79.2%	96.8	FUN
6	Admirals	4	0	0	1	1	2	10	12	-2	5	0.625	10	17	27	7	16	13	3	97	109	128	137	18	85	29	8	68	9	3	33.33%	4	1	75.00%	1	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	38.9%	10.3%	85.9%	96.2	FUN
7	Islanders	1	0	0	0	1	0	1	2	-1	1	0.500	1	1	2	7	16	13	3	21	109	128	137	18	37	11	8	18	2	0	0.00%	4	0	100.00%	0	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	33.3%	4.8%	94.6%	99.4	DULL
8	Roadrunners	1	0	1	0	0	0	2	6	-4	0	0.000	2	4	6	7	16	13	3	41	109	128	137	18	25	10	17	24	7	1	14.29%	1	0	100.00%	0	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	14.3%	4.9%	76.0%	80.9	Unlucky
9	Silver Knights	3	1	1	0	0	1	8	8	0	3	0.500	8	13	21	7	16	13	3	89	109	128	137	18	97	35	36	63	7	1	14.29%	8	1	87.50%	0	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	50.0%	9.0%	91.8%	100.7	LUCKY
	_Vs Division	5	1	3	1	2	3	14	15	-1	9	0.900	14	23	37	7	16	13	3	140	109	128	137	18	141	45	56	102	11	3	27.27%	18	2	88.89%	0	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	45.8%	10.0%	89.4%	99.4	FUN
	_Vs Conference	13	2	5	1	2	3	29	42	-13	11	0.423	29	49	78	7	16	13	3	326	109	128	137	18	288	92	101	247	35	9	25.71%	33	6	81.82%	1	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	35.7%	8.9%	85.4%	94.3	Unlucky
	_Since Last GM Reset	15	3	5	1	3	3	37	47	-10	14	0.467	37	62	99	7	16	13	3	383	109	128	137	18	346	113	116	292	39	11	28.21%	38	7	81.58%	1	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	39.4%	9.7%	86.4%	96.1	FUN
	Total	15	3	5	1	3	3	37	47	-10	14	0.467	37	62	99	7	16	13	3	383	109	128	137	18	346	113	116	292	39	11	28.21%	38	7	81.58%	1	135	263	51.33%	120	257	46.69%	87	181	48.07%	295	138	281	154	341	167	39.4%	9.7%	86.4%	96.1	FUN

	Puck Time
Offensive Zone	19
Neutral Zone	22
Defensive Zone	18

	Puck Time
Offensive Zone Start	263
Neutral Zone Start	181
Defensive Zone Start	257

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	342
Faceoffs Lost	359

	Team Average Shots after	League Average Shots after
1st Period	7.3	9.57
2nd Period	15.8	20.31
3rd Period	24.9	30.68
Overtime	26.1	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.5	0.64
2nd Period	1.5	1.65
3rd Period	2.4	2.67
Overtime	2.6	2.83


Even Strenght Goal	25
PP Goal	11
PK Goal	1
Empty Net Goal	0

	Home	Away
Win	1	3
Lost	2	3
Overtime Lost	4	2


PP Attempt	39
PP Goal	11
PK Attempt	38
PK Goal Against	7

	Home
Shots For	25.5
Shots Against	23.1
Goals For	2.5
Goals Against	3.1
Hits	19.5
Shots Blocked	7.5
Pim	7.7

Schedule

Date	Matchup			Result	Detail
Sun, Oct 11	MIN	@	WPG	MIN0,WPG2	RECAP
Mon, Oct 12	MIN	@	DAL	MIN2,DAL5	RECAP
Wed, Oct 14	NAS	@	MIN	NAS3,MIN2 (SO)	RECAP
Fri, Oct 16	MIN	@	NAS	MIN2,NAS1 (OT)	RECAP
Sun, Oct 18	WPG	@	MIN	WPG2,MIN1 (OT)	RECAP
Wed, Oct 21	MIN	@	CHI	MIN2,CHI3 (SO)	RECAP
Thu, Oct 22	CHI	@	MIN	CHI3,MIN2	RECAP
Sat, Oct 24	MIN	@	LOS	MIN3,LOS5	RECAP
Mon, Oct 26	NAS	@	MIN	NAS5,MIN4 (SO)	RECAP
Wed, Oct 28	BUF	@	MIN	BUF3,MIN7	RECAP
Fri, Oct 30	MIN	@	ANA	MIN3,ANA2	RECAP
Sun, Nov 1	PHO	@	MIN	PHO6,MIN2	RECAP
Tue, Nov 3	MIN	@	CHI	MIN4,CHI2	RECAP
Thu, Nov 5	NYI	@	MIN	NYI2,MIN1 (OT)	RECAP
Sat, Nov 7	MIN	@	NAS	MIN2,NAS3 (OT)	RECAP
Mon, Nov 9	NAS	@	MIN
Thu, Nov 12	CAR	@	MIN
Sat, Nov 14	MIN	@	PIT
Mon, Nov 16	MTL	@	MIN
Tue, Nov 17	MIN	@	CLB
Thu, Nov 19	NJD	@	MIN
Sat, Nov 21	CHI	@	MIN
Tue, Nov 24	MIN	@	S J
Fri, Nov 27	COL	@	MIN
Sat, Nov 28	MIN	@	COL
Mon, Nov 30	MIN	@	STL
Wed, Dec 2	PHI	@	MIN
Fri, Dec 4	MIN	@	TOR
Sat, Dec 5	CAL	@	MIN
Mon, Dec 7	STL	@	MIN
Wed, Dec 9	MIN	@	STL
Fri, Dec 11	MIN	@	WAS
Sun, Dec 13	MIN	@	OTT
Mon, Dec 14	SEA	@	MIN
Wed, Dec 16	MIN	@	BOS
Fri, Dec 18	BUF	@	MIN
Sun, Dec 20	WPG	@	MIN
Tue, Dec 22	MIN	@	WPG
Thu, Dec 24	OTT	@	MIN
Sat, Dec 26	MIN	@	PHI
Sun, Dec 27	TAM	@	MIN
Tue, Dec 29	MIN	@	TAM
Thu, Dec 31	BOS	@	MIN
Sun, Jan 3	FLO	@	MIN
Tue, Jan 5	MIN	@	LOS
Wed, Jan 6	MIN	@	FLO
Fri, Jan 8	LOS	@	MIN
Sat, Jan 9	MIN	@	TOR
Mon, Jan 11	NYR	@	MIN
Wed, Jan 13	CAR	@	MIN
Thu, Jan 14	MIN	@	CAL
Sat, Jan 16	PIT	@	MIN
Mon, Jan 18	MIN	@	PHO
Wed, Jan 20	TOR	@	MIN
Fri, Jan 22	MIN	@	CAR
Sun, Jan 24	VAN	@	MIN
Tue, Jan 26	MIN	@	DET
Thu, Jan 28	ANA	@	MIN
Fri, Jan 29	MIN	@	NYR
Sun, Jan 31	MIN	@	SEA
Tue, Feb 2	S J	@	MIN
Thu, Feb 4	CLB	@	MIN
Fri, Feb 5	MIN	@	NJD
Sun, Feb 7	WAS	@	MIN
Tue, Feb 9	MIN	@	VAN
Wed, Feb 10	MIN	@	TAM
Fri, Feb 12	MIN	@	ANA
Sat, Feb 13	DAL	@	MIN
Mon, Feb 15	MIN	@	DAL
Wed, Feb 17	STL	@	MIN
Fri, Feb 19	MIN	@	EDM
Sat, Feb 20	EDM	@	MIN
Mon, Feb 22	MIN	@	MTL
Wed, Feb 24	DET	@	MIN
Fri, Feb 26	MIN	@	NYI
Sun, Feb 28	MIN	@	BUF
Mon, Mar 1	DET	@	MIN
Thu, Mar 4	DAL	@	MIN
Sun, Mar 7	MIN	@	DET
Tue, Mar 9	S J	@	MIN
Fri, Mar 12	MIN	@	CHI
Sun, Mar 14	CHI	@	MIN
Trade Deadline --- Trades can�t be done after this day is simulated!
Wed, Mar 17	CHI	@	MIN
Thu, Mar 18	MIN	@	CHI

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
5,367,500$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Iowa
	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
35	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
5,367,500$	5,367,500$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,124,896$	0$	1,026,441$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	156	36,528$	4,858,224$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
4,858,224$	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

Islanders10-4-1, 21pts

21Final

Wild4-5-6, 14pts

23Final

Admirals5-8-2, 12pts

Wild4-5-6, 14pts

Sun, Nov 08

Admirals5-8-2, 12pts

Wild4-5-6, 14pts

Tue, Oct 13

Stars2-12-1, 5pts

Admirals5-8-2, 12pts

Thu, Oct 15

Wild4-5-6, 14pts

TRANSACTIONS

Team Info


	Head Coach	Dave Hakstol
	Division	Central Division
	City	Iowa
	Stadium Capacity	3,000

Wild Affiliation


	General Manager	Patrick Camara Pacheco
	Head Coach	D.J. Smith
	Stadium	Xcel Energy Center
	Capacity	18,064

Team Leaders

GOALS Daniil But Wild	8 GOALS
POINTS Porter Martone Wild	13 POINTS
WINS Spencer Martin Wild	3 WINS
Expanded Player Leaderboard

Team Stats

Goals For 37 2.47 GFG	Goals Against 47 3.13 GAA
Power Play Percentage 28.2% 11 GF	Penalty Kill Percentage 81.6% 7 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain