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
Matej Blümel (R)	0	RW	100.00	62	42	70	71	64	67	65	69	45	65	67	62	69	53	50	1	50	64	25	975,000$/3yrs
Brendan Gaunce	0	C/RW	100.00	61	41	74	62	73	73	70	64	66	60	59	56	62	70	62	1	50	62	31	1,600,000$/3yrs
Cameron Hebig	0	C	100.00	58	43	68	66	61	69	68	65	61	61	60	60	64	57	50	1	50	61	28	1,000,000$/2yrs
Jonas Rondbjerg	0	LW/RW	100.00	58	41	74	65	70	71	65	64	42	61	58	59	62	59	50	1	50	61	26	1,500,000$/4yrs
Sean Farrell	0	C	100.00	58	41	74	71	60	66	62	63	43	62	59	60	65	51	50	1	50	61	23	975,000$/1yrs
Mackenzie MacEachern	0	LW/RW	100.00	60	43	66	64	63	68	67	61	42	61	55	62	60	65	55	1	50	60	31	1,300,000$/3yrs
Bradly Nadeau (R)	0	LW	100.00	55	42	64	65	58	58	57	63	43	62	63	53	64	50	50	1	50	59	20	918,333$/2yrs
Jacob Quillan (R)	0	C	100.00	62	42	64	62	63	62	61	62	55	60	59	61	61	51	50	1	50	59	23	875,000$/1yrs
Elliot Desnoyers	0	LW	100.00	58	42	71	66	62	64	63	61	42	60	53	55	60	51	50	1	50	58	23	950,000$/2yrs
Riley Kidney	0	C	100.00	56	43	67	65	59	63	62	60	47	58	53	54	59	50	50	1	50	57	22	975,000$/2yrs
Gavin Hayes (R)	0	LW	100.00	59	41	68	62	61	61	59	59	41	56	54	56	58	50	50	1	50	57	21	865,000$/2yrs
Cole McWard	0	D	100.00	63	41	73	67	67	67	63	65	40	61	57	67	63	52	50	1	50	63	24	975,000$/1yrs
Hunter McDonald	0	D	100.00	66	52	61	65	68	64	62	60	40	57	54	67	59	51	50	1	50	61	23	975,000$/2yrs
Gustav Olofsson	0	D	100.00	58	42	71	64	64	70	68	61	40	57	53	64	59	63	56	1	50	61	30	1,200,000$/3yrs
Michael Karow	0	D	100.00	63	47	63	65	66	68	66	62	40	56	53	67	60	54	50	1	50	61	26	1,200,000$/4yrs
Connor Mayer	0	D	100.00	59	41	67	64	61	62	61	58	40	54	56	64	59	52	50	1	50	59	26	1,000,000$/3yrs
Brandon Hickey	0	D	100.00	57	40	72	62	64	66	64	57	40	51	53	60	58	59	50	1	50	58	29	1,200,000$/1yrs
D.J. King	0	D	100.00	62	40	62	59	65	60	58	54	40	53	53	61	55	51	50	1	50	57	24	1,000,000$/3yrs
Scratches
Jeffrey Viel	0	LW	100.00	62	64	50	65	65	69	68	64	44	62	58	63	62	57	50	1	50	61	28	1,800,000$/1yrs
Alex Jefferies	0	LW	100.00	56	41	71	63	64	63	61	61	42	57	56	52	60	51	50	1	50	57	23	975,000$/2yrs
Jaroslav Chmelar (R)	0	RW	100.00	58	42	63	58	68	62	61	61	42	60	57	53	58	50	50	1	50	57	21	867,500$/2yrs
Gemel Smith	0	C	100.00	54	42	58	55	59	63	61	55	54	55	52	53	54	60	53	1	50	55	31	1,800,000$/3yrs
Justin Gill (R)	0	C/LW/RW	100.00	55	41	66	59	62	60	58	57	40	54	54	53	57	50	50	1	50	55	22	975,000$/1yrs
Daniel Torgersson	0	LW	100.00	65	40	71	58	72	61	59	55	40	52	51	53	55	51	50	1	50	55	23	975,000$/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
Magnus Hellberg	0	100.00	69	72	76	73	72	72	74	71	72	72	69	72	65	1	50	66	34	1,550,000$/1yrs
Mack Guzda	0	100.00	55	49	49	64	56	54	54	51	54	54	45	51	50	1	50	50	24	975,000$/1yrs
Scratches

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Spencer Carbery	77	85	86	82	76	68	1	CAN	43	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	PKG	PKA	PKP	PKM	GW	GT	FO%	EG	HT	P/GP	PSG	PSS	GSAVG
1	Brendan Gaunce	Hershey Bears (WAS)	C/RW	82	31	41	72	-9	51	15	102	130	41	77	23.85%	48	21.18	10	20	30	2	1	3	124	7	5	58.70%	2	0	0.88	4	13	0.66
2	Matej Blümel	Hershey Bears (WAS)	RW	82	30	33	63	-16	47	25	135	250	83	153	12.00%	40	21.87	10	11	21	0	1	1	93	8	4	44.71%	1	0	0.77	6	15	0.70
3	Sean Farrell	Hershey Bears (WAS)	C	82	20	36	56	-4	45	15	125	178	54	96	11.24%	32	21.93	7	12	19	1	1	2	66	2	2	43.82%	0	0	0.68	0	4	0.57
4	Jonas Rondbjerg	Hershey Bears (WAS)	LW/RW	82	15	31	46	2	12	0	110	132	37	91	11.36%	15	19.32	3	11	14	0	0	0	0	2	1	46.30%	0	0	0.56	0	1	0.54
5	Mackenzie MacEachern	Hershey Bears (WAS)	LW/RW	82	20	20	40	-2	30	0	121	102	37	62	19.61%	20	19.51	7	3	10	1	0	1	29	1	1	28.00%	0	0	0.49	0	0	0.40
6	Hunter McDonald	Hershey Bears (WAS)	D	82	7	25	32	-15	86	30	106	72	36	30	9.72%	78	22.58	5	7	12	0	0	0	140	1	2	0.00%	0	0	0.39	1	1	0.15
7	Cole McWard	Hershey Bears (WAS)	D	82	6	22	28	-18	38	20	94	100	30	41	6.00%	90	24.98	5	9	14	0	0	0	147	3	0	0.00%	0	0	0.34	1	1	0.22
8	Cameron Hebig	Hershey Bears (WAS)	C	82	7	14	21	-11	22	0	96	80	18	62	8.75%	19	16.73	0	0	0	1	1	2	91	3	0	51.98%	0	0	0.26	1	10	0.19
9	Jacob Quillan	Hershey Bears (WAS)	C	82	11	5	16	-5	32	10	73	75	26	36	14.67%	18	12.73	0	0	0	0	0	0	10	3	2	51.65%	0	0	0.20	0	0	0.15
10	Gustav Olofsson	Hershey Bears (WAS)	D	82	2	13	15	-3	16	0	52	37	16	16	5.41%	50	20.47	1	2	3	0	1	1	104	1	0	100.00%	1	0	0.18	0	0	0.14
11	Bradly Nadeau	Hershey Bears (WAS)	LW	58	4	9	13	-8	14	0	54	58	13	45	6.90%	14	13.72	1	1	2	0	0	0	50	1	0	33.33%	0	0	0.22	1	1	0.17
12	Elliot Desnoyers	Hershey Bears (WAS)	LW	82	7	5	12	-4	8	0	70	39	17	26	17.95%	8	12.40	1	3	4	0	0	0	0	0	1	40.98%	0	0	0.15	0	0	0.12
13	Brandon Hickey	Hershey Bears (WAS)	D	82	1	9	10	13	6	0	41	23	8	10	4.35%	56	16.16	0	0	0	0	0	0	44	0	0	33.33%	0	0	0.12	0	0	0.17
14	Jeffrey Viel	Hershey Bears (WAS)	LW	39	4	6	10	0	34	10	52	44	18	31	9.09%	7	14.65	0	1	1	0	0	0	6	0	2	48.00%	0	0	0.26	0	2	0.15
15	Michael Karow	Hershey Bears (WAS)	D	82	2	8	10	-8	43	5	51	37	11	21	5.41%	52	19.50	0	2	2	0	0	0	94	0	1	0.00%	0	0	0.12	0	0	0.01
16	Connor Mayer	Hershey Bears (WAS)	D	82	0	8	8	3	18	0	30	17	3	10	0.00%	33	14.96	0	0	0	0	0	0	4	0	0	0.00%	0	0	0.10	0	0	0.06
17	Jaroslav Chmelar	Hershey Bears (WAS)	RW	19	2	2	4	2	2	0	10	6	2	5	33.33%	2	11.10	0	0	0	0	0	0	0	1	0	20.00%	0	0	0.21	0	0	0.21
18	Gavin Hayes	Hershey Bears (WAS)	LW	62	2	1	3	6	4	0	19	10	1	5	20.00%	3	4.87	0	0	0	0	0	0	10	2	0	100.00%	0	0	0.05	0	0	0.07
19	Riley Kidney	Hershey Bears (WAS)	C	49	1	1	2	3	0	0	12	6	1	3	16.67%	0	3.57	0	0	0	0	0	0	18	1	0	66.67%	0	0	0.04	0	0	0.06
20	D.J. King	Hershey Bears (WAS)	D	81	0	0	0	-2	6	0	18	3	1	0	0.00%	4	4.36	0	0	0	0	0	0	12	0	0	0.00%	0	0	0.00	0	0	-0.01
Team Total or Average			1456	172	289	461	-76	514	130	1371	1399	453	820	12.29%	589	16.54	50	82	132	1093	5	5	10	1052	36	21	52.39%	3312	348	418	4	0	0.38	14	48

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	Magnus Hellberg	Hershey Bears (WAS)	66	33	21	10	0.898	2.09	3882	0	9	135	1327	693	1	2	0.579	38	63	19	5	3	6
2	Mack Guzda	Hershey Bears (WAS)	21	10	5	3	0.869	2.89	1122	0	1	54	412	246	4	0	0.625	8	19	63	0	0	0
Team Total or Average		87	43	26	13	0.891	2.27	5004	0	10	189	1739	939	5	2	0.587	46	82	82	5	3	6

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21	2021-22
Alex Jefferies	LW	23	975,000$	975,000$	975,000$	RFA
Bradly Nadeau	LW	20	918,333$	975,000$	975,000$	RFA
Brandon Hickey	D	29	1,200,000$	1,200,000$	UFA
Brendan Gaunce	C/RW	31	1,600,000$	1,600,000$	1,600,000$	1,600,000$	UFA
Cameron Hebig	C	28	1,000,000$	1,000,000$	1,000,000$	UFA
Cole McWard	D	24	975,000$	975,000$	RFA
Connor Mayer	D	26	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
D.J. King	D	24	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Daniel Torgersson	LW	23	975,000$	975,000$	RFA
Elliot Desnoyers	LW	23	950,000$	975,000$	975,000$	RFA
Gavin Hayes	LW	21	865,000$	975,000$	975,000$	RFA
Gemel Smith	C	31	1,800,000$	1,800,000$	1,800,000$	1,800,000$	UFA
Gustav Olofsson	D	30	1,200,000$	1,200,000$	1,200,000$	1,200,000$	UFA
Hunter McDonald	D	23	975,000$	975,000$	975,000$	RFA
Jacob Quillan	C	23	875,000$	975,000$	RFA
Jaroslav Chmelar	RW	21	867,500$	975,000$	975,000$	RFA
Jeffrey Viel	LW	28	1,800,000$	1,800,000$	UFA
Jonas Rondbjerg	LW/RW	26	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
Justin Gill	C/LW/RW	22	975,000$	975,000$	RFA
Mack Guzda	G	24	975,000$	975,000$	RFA
Mackenzie MacEachern	LW/RW	31	1,300,000$	1,300,000$	1,300,000$	1,300,000$	UFA
Magnus Hellberg	G	34	1,550,000$	1,550,000$	UFA
Matej Blümel	RW	25	975,000$	975,000$	975,000$	975,000$	UFA
Michael Karow	D	26	1,200,000$	1,200,000$	1,200,000$	1,200,000$	1,200,000$	UFA
Riley Kidney	C	22	975,000$	975,000$	975,000$	RFA
Sean Farrell	C	23	975,000$	975,000$	RFA

Lines

Forward Lines
# - Sean Farrell	# - Brendan Gaunce	# - Matej Blümel
# - Jonas Rondbjerg	# - Sean Farrell	# - Mackenzie MacEachern
# - Brendan Gaunce	# - Cameron Hebig	# - Sean Farrell
# - Brendan Gaunce	# - Jacob Quillan	# - Jonas Rondbjerg

Defensive Pairings
# - Cole McWard	# - Hunter McDonald
# - Michael Karow	# - Gustav Olofsson
# - Connor Mayer	# - Brandon Hickey

1st Power Play Unit
# - Sean Farrell		# - Brendan Gaunce		# - Jonas Rondbjerg
# - Cole McWard			# - Hunter McDonald

2nd Power Play Unit
# - Jonas Rondbjerg		# - Sean Farrell		# - Mackenzie MacEachern
# - Michael Karow			# - Gustav Olofsson

Goalies
# - Magnus Hellberg		# - Mack Guzda

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	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%	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	2	0	0	1	0	0	1	3	3	0	3	0.750	3	4	7	0	0	24	63	88	23	16	305	560	603	73	35	24	6	42	3	1	33.33%	3	1	66.67%	1	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	50.0%	18.8%	91.4%	110.2	LUCKY
2	Moose	2	0	0	0	0	1	1	5	5	0	3	0.750	5	7	12	0	0	24	63	88	23	36	305	560	603	73	28	9	8	42	4	1	25.00%	4	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	44.4%	13.9%	82.1%	96.0	FUN
3	Bruins	4	3	0	0	1	0	0	14	9	5	7	0.875	14	23	37	0	0	24	63	88	23	72	305	560	603	73	125	52	14	52	13	5	38.46%	7	1	85.71%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	52.9%	19.4%	92.8%	112.2	LUCKY
4	Americans	2	1	0	0	0	0	1	5	4	1	3	0.750	5	7	12	0	1	24	63	88	23	21	305	560	603	73	22	10	16	29	3	1	33.33%	8	2	75.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	66.7%	23.8%	81.8%	105.6	FUN
5	Heat	2	1	0	0	0	1	0	3	0	3	4	1.000	3	3	6	0	2	24	63	88	23	20	305	560	603	73	18	6	6	25	3	1	33.33%	3	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	100.0%	15.0%	100.0%	115.0	LUCKY
6	Wolves	4	0	3	1	0	0	0	5	12	-7	2	0.250	5	8	13	0	0	24	63	88	23	82	305	560	603	73	128	37	16	75	7	1	14.29%	8	2	75.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	28.6%	6.1%	90.6%	96.7	Unlucky
7	IceHogs	2	0	1	1	0	0	0	5	9	-4	2	0.500	5	10	15	0	0	24	63	88	23	42	305	560	603	73	74	30	17	26	6	1	16.67%	7	1	85.71%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	33.3%	11.9%	87.8%	99.7	FUN
8	Eagles	2	0	0	1	0	0	1	4	4	0	3	0.750	4	5	9	0	0	24	63	88	23	36	305	560	603	73	27	4	6	30	1	0	0.00%	3	1	66.67%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	57.1%	11.1%	85.2%	96.3	FUN
9	Monsters	2	1	0	1	0	0	0	7	3	4	4	1.000	7	11	18	0	0	24	63	88	23	41	305	560	603	73	40	12	10	30	2	1	50.00%	5	2	60.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	85.7%	17.1%	92.5%	109.6	LUCKY
10	Stars	2	0	2	0	0	0	0	1	4	-3	0	0.000	1	1	2	0	0	24	63	88	23	29	305	560	603	73	24	8	6	33	2	1	50.00%	3	1	66.67%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	0.0%	3.4%	83.3%	86.8	Unlucky
11	Griffins	2	1	0	0	0	0	1	6	5	1	3	0.750	6	9	15	0	0	24	63	88	23	27	305	560	603	73	80	35	7	28	3	1	33.33%	1	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	50.0%	22.2%	93.8%	116.0	LUCKY
12	Condors	2	0	0	1	0	0	1	3	3	0	3	0.750	3	6	9	0	0	24	63	88	23	21	305	560	603	73	23	10	21	29	2	2	100.00%	8	1	87.50%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	33.3%	14.3%	87.0%	101.2	FUN
13	Checkers 1	4	3	0	0	0	0	1	8	4	4	7	0.875	8	15	23	0	2	24	63	88	23	71	305	560	603	73	59	18	8	72	8	2	25.00%	4	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	60.0%	11.3%	93.2%	104.5	LUCKY
14	Reign	2	1	0	1	0	0	0	4	1	3	4	1.000	4	7	11	0	1	24	63	88	23	32	305	560	603	73	27	12	4	42	2	0	0.00%	2	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	80.0%	12.5%	96.3%	108.8	LUCKY
15	Wild	2	1	1	0	0	0	0	2	4	-2	2	0.500	2	2	4	0	0	24	63	88	23	29	305	560	603	73	18	6	10	23	1	0	0.00%	5	1	80.00%	1	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	40.0%	6.9%	77.8%	84.7	Unlucky
16	Rocket	2	0	1	1	0	0	0	3	7	-4	2	0.500	3	5	8	0	0	24	63	88	23	31	305	560	603	73	25	5	28	42	2	0	0.00%	4	3	25.00%	1	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	42.9%	9.7%	72.0%	81.7	FUN
17	Admirals	3	2	1	0	0	0	0	12	8	4	4	0.667	12	17	29	0	0	24	63	88	23	57	305	560	603	73	59	23	28	46	3	1	33.33%	4	1	75.00%	2	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	61.1%	21.1%	86.4%	107.5	FUN
18	Comets	2	1	0	0	0	0	1	3	2	1	3	0.750	3	4	7	0	1	24	63	88	23	26	305	560	603	73	8	6	4	41	3	2	66.67%	2	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	33.3%	11.5%	75.0%	86.5	FUN
19	Islanders	4	2	1	0	1	0	0	14	12	2	5	0.625	14	22	36	0	0	24	63	88	23	108	305	560	603	73	59	24	12	85	14	6	42.86%	6	5	16.67%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	53.3%	13.0%	79.7%	92.6	FUN
20	Wolf Pack	6	1	4	0	1	0	0	10	22	-12	3	0.250	10	19	29	1	0	24	63	88	23	118	305	560	603	73	163	58	75	100	18	4	22.22%	25	5	80.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	26.1%	8.5%	86.5%	95.0	Unlucky
21	Belleville Senators	2	2	0	0	0	0	0	3	0	3	4	1.000	3	5	8	0	2	24	63	88	23	22	305	560	603	73	32	19	20	36	3	1	33.33%	5	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	100.0%	13.6%	100.0%	113.6	LUCKY
22	Phantoms	7	3	3	0	0	0	1	19	17	2	7	0.500	19	33	52	0	0	24	63	88	23	160	305	560	603	73	164	52	49	117	19	7	36.84%	22	7	68.18%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	54.5%	11.9%	89.6%	101.5	FUN
23	Roadrunners	2	2	0	0	0	0	0	10	6	4	4	1.000	10	16	26	0	0	24	63	88	23	53	305	560	603	73	57	17	8	25	7	3	42.86%	4	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	53.8%	18.9%	89.5%	108.3	FUN
24	Penguins	4	1	2	0	0	0	1	7	13	-6	3	0.375	7	13	20	0	0	24	63	88	23	97	305	560	603	73	118	35	45	73	9	2	22.22%	10	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	27.8%	7.2%	89.0%	96.2	Unlucky
25	Barracuda	2	1	0	0	0	1	0	6	1	5	4	1.000	6	8	14	0	1	24	63	88	23	33	305	560	603	73	24	8	27	34	4	2	50.00%	6	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	80.0%	18.2%	95.8%	114.0	LUCKY
26	Thunderbirds	2	0	1	0	0	1	0	6	10	-4	2	0.500	6	6	12	0	0	24	63	88	23	24	305	560	603	73	82	18	8	33	2	1	50.00%	4	2	50.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	38.5%	25.0%	87.8%	112.8	FUN
27	Crunch	2	1	0	0	0	1	0	7	5	2	4	1.000	7	12	19	0	0	24	63	88	23	45	305	560	603	73	31	11	6	45	7	5	71.43%	3	2	33.33%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	40.0%	15.6%	83.9%	99.4	FUN
28	Marlies	2	0	2	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	24	63	88	23	33	305	560	603	73	64	23	6	29	3	0	0.00%	3	0	100.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	16.7%	3.0%	92.2%	95.2	DULL
29	Canucks	2	0	2	0	0	0	0	6	13	-7	0	0.000	6	9	15	1	0	24	63	88	23	41	305	560	603	73	59	15	28	36	2	0	0.00%	10	5	50.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	42.9%	14.6%	78.0%	92.6	FUN
30	Silver Knights	2	1	0	1	0	0	0	6	4	2	4	1.000	6	9	15	0	0	24	63	88	23	36	305	560	603	73	20	7	8	54	3	1	33.33%	4	2	50.00%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	71.4%	16.7%	80.0%	96.7	FUN
31	Checkers 2	2	0	2	0	0	0	0	1	6	-5	0	0.000	1	1	2	0	0	24	63	88	23	32	305	560	603	73	48	8	11	32	5	0	0.00%	3	2	33.33%	0	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	20.0%	3.1%	87.5%	90.6	Unlucky
	_Vs Division	20	13	13	1	3	0	3	47	39	8	34	0.850	47	78	125	0	5	24	63	88	23	322	305	560	603	73	438	173	105	333	42	15	35.71%	35	8	77.14%	1	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	50.8%	14.6%	91.1%	105.7	Unlucky
	_Vs Conference	49	19	18	3	3	1	5	112	128	-16	54	0.551	112	188	300	2	6	24	63	88	23	968	305	560	603	73	1097	377	337	862	113	37	32.74%	122	34	72.13%	1	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	44.4%	11.6%	88.3%	99.9	FUN
	_Since Last GM Reset	82	29	26	9	3	5	10	189	201	-12	99	0.604	189	299	488	2	10	24	63	88	23	1491	305	560	603	73	1741	602	518	1406	164	53	32.32%	186	47	74.73%	5	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	46.9%	12.7%	88.5%	101.1	FUN
	Total	82	29	26	9	3	5	10	189	201	-12	99	0.604	189	299	488	2	10	24	63	88	23	1491	305	560	603	73	1741	602	518	1406	164	53	32.32%	186	47	74.73%	5	612	1173	52.17%	654	1263	51.78%	508	903	56.26%	1457	571	1565	884	1986	1001	46.9%	12.7%	88.5%	101.1	FUN

	Puck Time
Offensive Zone	17
Neutral Zone	24
Defensive Zone	19

	Puck Time
Offensive Zone Start	1173
Neutral Zone Start	903
Defensive Zone Start	1263

	Puck Time
With Puck	29
Without Puck	31

	Faceoffs
Faceoffs Won	1774
Faceoffs Lost	1565

	Team Average Shots after	League Average Shots after
1st Period	3.7	9.57
2nd Period	10.5	20.31
3rd Period	17.9	30.68
Overtime	18.8	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.3	0.64
2nd Period	1.1	1.65
3rd Period	2.1	2.67
Overtime	2.4	2.83


Even Strenght Goal	129
PP Goal	53
PK Goal	5
Empty Net Goal	2

	Home	Away
Win	20	23
Lost	15	11
Overtime Lost	6	7


PP Attempt	164
PP Goal	53
PK Attempt	186
PK Goal Against	47

	Home
Shots For	18.2
Shots Against	21.2
Goals For	2.3
Goals Against	2.5
Hits	17.1
Shots Blocked	7.3
Pim	6.3

Schedule

Date	Matchup			Result	Detail
Wed, Oct 8	WAS	@	PHI	WAS4,PHI1	RECAP
Fri, Oct 10	NYR	@	WAS	NYR3,WAS0	RECAP
Mon, Oct 13	WAS	@	NYR	WAS2,NYR7	RECAP
Tue, Oct 14	WAS	@	PHI	WAS2,PHI3 (SO)	RECAP
Thu, Oct 16	PHI	@	WAS	PHI2,WAS4	RECAP
Sun, Oct 19	PHI	@	WAS	PHI3,WAS2	RECAP
Tue, Oct 21	CAR	@	WAS	CAR2,WAS0	RECAP
Thu, Oct 23	WAS	@	FLO	WAS4,FLO2	RECAP
Sat, Oct 25	WAS	@	BOS	WAS3,BOS1	RECAP
Mon, Oct 27	WAS	@	NYI	WAS3,NYI4	RECAP
Tue, Oct 28	PIT	@	WAS	PIT2,WAS4	RECAP
Fri, Oct 31	FLO	@	WAS	FLO2,WAS1 (SO)	RECAP
Sun, Nov 2	WAS	@	PHI	WAS1,PHI3	RECAP
Mon, Nov 3	WAS	@	NYR	WAS1,NYR4	RECAP
Tue, Nov 4	NAS	@	WAS	NAS3,WAS7	RECAP
Fri, Nov 7	NYI	@	WAS	NYI4,WAS3 (OT)	RECAP
Sun, Nov 9	WAS	@	PIT	WAS2,PIT3 (SO)	RECAP
Tue, Nov 11	WAS	@	CHI	WAS4,CHI3 (OT)	RECAP
Wed, Nov 12	TAM	@	WAS	TAM3,WAS4	RECAP
Sat, Nov 15	NYI	@	WAS	NYI1,WAS3	RECAP
Mon, Nov 17	WAS	@	PIT	WAS1,PIT6	RECAP
Tue, Nov 18	MTL	@	WAS	MTL6,WAS1	RECAP
Thu, Nov 20	WAS	@	MTL	WAS2,MTL1 (OT)	RECAP
Sat, Nov 22	WAS	@	PHO	WAS7,PHO5	RECAP
Mon, Nov 24	DAL	@	WAS	DAL2,WAS0	RECAP
Wed, Nov 26	WPG	@	WAS	WPG3,WAS2 (SO)	RECAP
Fri, Nov 28	WAS	@	LOS	WAS2,LOS1 (OT)	RECAP
Sun, Nov 30	VAN	@	WAS	VAN9,WAS4	RECAP
Wed, Dec 3	WAS	@	PHI	WAS3,PHI1	RECAP
Thu, Dec 4	WAS	@	WPG	WAS3,WPG2 (SO)	RECAP
Sat, Dec 6	S J	@	WAS	S J0,WAS4	RECAP
Tue, Dec 9	TOR	@	WAS	TOR3,WAS1	RECAP
Thu, Dec 11	WAS	@	CHI	WAS5,CHI4 (OT)	RECAP
Sat, Dec 13	PHI	@	WAS	PHI4,WAS3	RECAP
Mon, Dec 15	WAS	@	SEA	WAS1,SEA3	RECAP
Wed, Dec 17	PHO	@	WAS	PHO1,WAS3	RECAP
Fri, Dec 19	WAS	@	TOR	WAS0,TOR2	RECAP
Sun, Dec 21	MIN	@	WAS	MIN1,WAS2	RECAP
Tue, Dec 23	WAS	@	BOS	WAS5,BOS2	RECAP
Fri, Dec 26	SEA	@	WAS	SEA3,WAS0	RECAP
Mon, Dec 29	WAS	@	BUF	WAS3,BUF4 (SO)	RECAP
Wed, Dec 31	WAS	@	STL	WAS5,STL4 (SO)	RECAP
Thu, Jan 1	COL	@	WAS	COL1,WAS2 (OT)	RECAP
Sun, Jan 4	WAS	@	DET	WAS5,DET3	RECAP
Mon, Jan 5	CLB	@	WAS	CLB1,WAS4	RECAP
Thu, Jan 8	WAS	@	EDM	WAS1,EDM2 (SO)	RECAP
Fri, Jan 9	CHI	@	WAS	CHI5,WAS0	RECAP
Mon, Jan 12	ANA	@	WAS	ANA1,WAS2 (OT)	RECAP
Tue, Jan 13	WAS	@	S J	WAS2,S J1 (SO)	RECAP
Thu, Jan 15	WAS	@	NYR	WAS1,NYR2 (OT)	RECAP
Sat, Jan 17	BUF	@	WAS	BUF0,WAS2	RECAP
Mon, Jan 19	WAS	@	CLB	WAS3,CLB2 (OT)	RECAP
Wed, Jan 21	PIT	@	WAS	PIT2,WAS0	RECAP
Fri, Jan 23	NJD	@	WAS	NJD2,WAS1 (SO)	RECAP
Sun, Jan 25	WAS	@	NJD	WAS2,NJD0	RECAP
Tue, Jan 27	WAS	@	OTT	WAS1,OTT0	RECAP
Wed, Jan 28	EDM	@	WAS	EDM1,WAS2 (OT)	RECAP
Fri, Jan 30	FLO	@	WAS	FLO0,WAS1	RECAP
Mon, Feb 2	WAS	@	TAM	WAS3,TAM2 (SO)	RECAP
Wed, Feb 4	LOS	@	WAS	LOS0,WAS2	RECAP
Fri, Feb 6	WAS	@	ANA	WAS1,ANA2 (SO)	RECAP
Sun, Feb 8	WAS	@	CAL	WAS1,CAL0 (SO)	RECAP
Mon, Feb 9	CAL	@	WAS	CAL0,WAS2	RECAP
Wed, Feb 11	WAS	@	MIN	WAS0,MIN3	RECAP
Fri, Feb 13	NAS	@	WAS	NAS4,WAS2	RECAP
Sun, Feb 15	WAS	@	NAS	WAS3,NAS1	RECAP
Mon, Feb 16	WAS	@	CAR	WAS1,CAR4	RECAP
Wed, Feb 18	STL	@	WAS	STL6,WAS1	RECAP
Sat, Feb 21	BOS	@	WAS	BOS2,WAS3	RECAP
Tue, Feb 24	DET	@	WAS	DET2,WAS1 (SO)	RECAP
Wed, Feb 25	WAS	@	CAR	WAS2,CAR1 (OT)	RECAP
Sat, Feb 28	CAR	@	WAS	CAR5,WAS2	RECAP
Tue, Mar 3	NYR	@	WAS	NYR3,WAS1	RECAP
Wed, Mar 4	WAS	@	DAL	WAS1,DAL2	RECAP
Sat, Mar 7	BOS	@	WAS	BOS4,WAS3 (OT)	RECAP
Tue, Mar 10	WAS	@	FLO	WAS2,FLO0	RECAP
Thu, Mar 12	OTT	@	WAS	OTT0,WAS2	RECAP
Sat, Mar 14	WAS	@	VAN	WAS2,VAN4	RECAP
Mon, Mar 16	NYR	@	WAS	NYR3,WAS5	RECAP
Thu, Mar 19	CHI	@	WAS	CHI1,WAS2	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Sun, Mar 22	WAS	@	COL	WAS2,COL3 (SO)	RECAP
Tue, Mar 24	WAS	@	NYI	WAS5,NYI3	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,980,000$	0$	0$	75,000,000$

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

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,980,000$	2,980,000$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
3,454,847$	0$	2,954,776$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	22	20,592$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	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

Hershey Bears43-26-13, 99pts

23Final

Eagles45-27-10, 100pts

Hershey Bears43-26-13, 99pts

53Final

Islanders34-37-11, 79pts

Hershey Bears43-26-13, 99pts

Wed, Mar 25

Islanders34-37-11, 79pts

Wolf Pack57-18-7, 121pts

Sat, Oct 11

Hershey Bears43-26-13, 99pts

Tue, Oct 14

Wolf Pack57-18-7, 121pts

TRANSACTIONS

Team Info


	Head Coach	Spencer Carbery
	Division	Atlantic Division
	City
	Stadium Capacity	3,000

Hershey Bears Affiliation


	General Manager	Remy Lizotte
	Head Coach	Andrew Brunette
	Stadium	MCI Center
	Capacity	18,277

Team Leaders

GOALS Brendan Gaunce Hershey Bears	31 GOALS
POINTS Brendan Gaunce Hershey Bears	72 POINTS
WINS Magnus Hellberg Hershey Bears	33 WINS
Expanded Player Leaderboard

Team Stats

Goals For 189 2.30 GFG	Goals Against 201 2.45 GAA
Power Play Percentage 32.3% 53 GF	Penalty Kill Percentage 74.7% 47 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain