Ligue Hockey General Manager Québec

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Cody Glass	0	C/RW	98.00	67	33	91	71	83	79	78	71	81	74	71	66	71	66	65	0	47	80	24	1,000,000$/1yrs
Max Comtois	0	C/LW	98.00	76	46	64	68	83	79	83	66	61	69	68	63	67	66	62	0	63	77	24	1,250,000$/1yrs
Joakim Kemell (R)	0	RW	99.00	97	42	50	71	71	72	67	67	41	70	71	55	70	56	61	0	62	77	19	918,333$/3yrs
Austin Wagner	51	LW	98.00	98	42	54	62	77	72	78	63	41	61	66	67	64	68	73	0	60	76	26	1,100,000$/1yrs
Alexander Nylander	92	RW	100.00	59	38	94	67	76	74	86	66	38	67	69	64	68	67	67	0	63	76	25	775,000$/1yrs
Martin Kaut	0	C/RW	99.00	66	37	88	66	76	73	76	65	52	66	67	62	67	65	66	0	63	75	24	1,000,000$/2yrs
Jason Polin	0	RW	100.00	59	39	88	66	77	73	87	66	36	63	70	66	66	63	62	0	63	75	24	870,000$/1yrs
Pavol Regenda	0	LW/RW	99.00	85	41	63	64	87	71	72	62	55	64	65	64	64	65	68	0	63	74	24	855,000$/1yrs
Corey Andonovski	0	RW	100.00	85	41	64	61	77	68	76	59	41	62	61	63	61	65	68	0	63	73	24	925,000$/1yrs
Mathias Laferriere	0	RW	100.00	62	38	90	61	73	68	83	60	67	63	60	64	61	63	64	0	63	72	23	775,000$/1yrs
Chase Stillman (R)	0	RW	100.00	87	41	56	65	72	68	90	61	49	64	63	59	63	58	53	0	56	72	20	863,333$/3yrs
Jaydon Dureau (R)	0	LW	100.00	59	37	94	59	68	66	67	55	46	58	58	63	58	61	62	0	47	69	22	841,667$/2yrs
Jack Johnson	0	D	98.00	72	37	84	55	88	85	90	63	30	63	57	78	60	87	85	0	60	78	36	800,000$/2yrs
Nick Perbix	0	D	98.00	69	33	88	67	77	81	76	63	30	71	64	65	64	67	66	0	63	78	25	1,125,000$/2yrs
Jordan Oesterle	82	D	99.00	64	35	91	59	73	83	80	62	30	68	60	68	61	77	76	0	63	76	31	800,000$/2yrs
Ronnie Attard (R)	0	D	99.00	72	39	80	61	83	74	75	60	30	65	64	69	64	65	66	0	66	76	24	900,000$/1yrs
Colin Swoyer	0	D	100.00	66	38	86	60	72	68	71	59	30	65	55	67	60	66	68	0	63	74	25	850,000$/1yrs
Simon Nemec (R)	0	D	100.00	64	38	89	64	75	70	76	59	30	66	63	63	65	56	57	0	54	74	19	775,000$/1yrs
Scratches
Eric Staal	0	C	100.00	59	33	87	67	80	79	76	69	80	71	72	83	71	91	90	0	20	83	39	1,300,000$/1yrs
Ryan Carpenter	0	C/LW/RW	60.27	75	39	82	60	78	76	77	63	79	67	64	78	64	80	79	0	19	78	32	1,000,000$/1yrs
Ondrej Pavel	0	C/LW/RW	100.00	74	41	70	62	79	68	83	59	69	62	61	64	62	61	58	0	26	72	23	870,000$/2yrs
Carson Focht (R)	0	C	100.00	68	39	77	60	71	62	67	57	65	62	56	66	59	61	59	0	26	70	23	825,000$/1yrs
Filip Engaras (R)	0	C	100.00	63	39	90	55	79	64	71	58	67	50	61	63	55	64	65	0	21	69	24	775,000$/1yrs
Sam Malinski	0	D	100.00	74	40	71	61	73	71	84	59	30	65	60	67	62	65	62	0	20	74	25	850,000$/2yrs
Mikko Kokkonen (R)	0	D	100.00	75	40	75	59	78	64	71	56	30	61	50	64	56	61	63	0	20	71	22	846,667$/2yrs
Dmitri Semykin	13	D	100.00	57	39	96	57	83	60	67	55	30	59	57	64	58	61	63	0	20	70	23	850,000$/1yrs
Maximus Wanner	0	D	100.00	77	40	67	58	76	64	85	54	30	59	56	61	57	56	52	0	20	70	20	846,667$/2yrs
Anton Malmstrom	0	D	100.00	64	40	83	54	84	64	83	52	30	56	56	63	56	61	59	0	20	68	23	910,000$/2yrs
Cole McWard	0	D	100.00	68	33	99	60	76	79	66	50	30	50	75	60	62	61	61	0	20	68	22	922,500$/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
Nico Daws	0	97.00	69	68	69	84	74	72	76	85	71	87	76	62	66	0	63	79	22	850,833$/1yrs
Yaroslav Askarov	0	100.00	74	58	71	73	75	76	73	74	76	77	74	60	64	0	45	76	21	925,000$/2yrs
Scratches
Matthew Murray	0	100.00	75	66	67	76	74	73	75	74	73	75	74	64	71	0	46	77	25	775,000$/1yrs
Dom DiVincentiis	0	100.00	73	79	69	74	70	72	72	73	72	74	72	57	59	0	29	76	19	858,333$/3yrs
Nolan Lalonde	0	100.00	71	80	66	74	65	69	69	71	69	71	70	55	56	0	29	74	19	798,333$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dave Lowry	81	74	88	88	75	70	74	CAN	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	AMG	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS
1	Joakim Kemell	Bears (WSH)	RW	22	10	12	22	14	28	0	66	60	16	47	16.67%	5	21.26	1	2	3	61	0	0	0	58	1	0	41.98%	81	0	0	0.94	0	1
2	Austin Wagner	Bears (WSH)	LW	22	7	14	21	12	22	10	54	57	17	37	12.28%	4	19.54	2	6	8	57	0	0	0	46	0	1	53.49%	43	0	0	0.98	0	0
3	Martin Kaut	Bears (WSH)	C/RW	22	7	12	19	12	4	0	7	43	17	46	16.28%	2	16.47	2	5	7	50	0	0	0	8	0	1	48.15%	432	0	0	1.05	0	0
4	Nick Perbix	Bears (WSH)	D	22	8	10	18	11	24	0	49	45	13	22	17.78%	26	24.62	3	4	7	67	0	0	0	64	2	1	0.00%	0	0	0	0.66	0	0
5	Jordan Oesterle	Bears (WSH)	D	22	4	13	17	15	14	0	34	26	5	21	15.38%	25	24.18	1	5	6	67	0	0	0	72	1	0	0.00%	0	0	0	0.64	0	0
6	Alexander Nylander	Bears (WSH)	RW	22	9	7	16	9	6	0	2	74	15	50	12.16%	4	16.66	5	1	6	45	0	0	0	14	3	0	38.89%	54	0	0	0.87	1	1
7	Max Comtois	Bears (WSH)	C/LW	22	12	4	16	10	6	0	40	65	14	69	18.46%	4	20.39	4	1	5	63	0	0	0	58	4	0	51.46%	342	0	1	0.71	0	1
8	Jack Johnson	Bears (WSH)	D	22	3	12	15	14	22	0	45	34	11	13	8.82%	34	18.84	1	2	3	38	0	1	1	46	0	0	0.00%	0	0	0	0.72	0	0
9	Ronnie Attard	Bears (WSH)	D	22	1	13	14	7	15	5	33	23	12	15	4.35%	41	20.76	1	3	4	53	0	1	1	66	0	0	0.00%	0	0	0	0.61	0	0
10	Pavol Regenda	Bears (WSH)	LW/RW	22	2	10	12	10	16	0	57	36	8	28	5.56%	1	14.51	0	0	0	12	1	0	1	35	1	0	54.17%	48	0	0	0.75	0	0
11	Jason Polin	Bears (WSH)	RW	22	5	4	9	7	0	0	1	42	13	28	11.90%	5	11.06	0	0	0	2	0	0	0	0	2	0	41.18%	51	0	0	0.74	0	0
12	Colin Swoyer	Bears (WSH)	D	22	1	5	6	11	12	0	20	10	1	10	10.00%	15	14.70	0	0	0	4	0	0	0	12	0	0	0.00%	0	0	0	0.37	0	0
13	Simon Nemec	Bears (WSH)	D	21	0	5	5	0	14	0	13	14	1	4	0.00%	14	12.83	0	0	0	2	0	0	0	2	0	0	0.00%	0	0	0	0.37	0	0
14	Cody Glass	Bears (WSH)	C/RW	4	0	4	4	-1	0	0	0	12	6	9	0.00%	1	22.39	0	3	3	11	0	0	0	12	0	0	57.36%	129	0	0	0.89	1	1
15	Mathias Laferriere	Bears (WSH)	RW	22	2	2	4	-3	0	0	0	14	2	4	14.29%	0	7.14	0	0	0	6	0	0	0	0	1	0	40.74%	27	0	0	0.51	0	0
16	Carson Focht	Bears (WSH)	C	5	0	3	3	6	0	0	1	13	6	7	0.00%	1	19.00	0	1	1	9	0	0	0	19	0	0	54.67%	150	0	0	0.63	0	0
17	Corey Andonovski	Bears (WSH)	RW	22	1	1	2	-2	2	0	37	20	4	11	5.00%	1	5.96	0	0	0	0	0	0	0	0	0	0	20.00%	5	0	0	0.30	0	0
18	Chase Stillman	Bears (WSH)	RW	15	1	1	2	2	2	0	12	6	4	2	16.67%	0	4.89	0	0	0	11	0	0	0	0	0	0	20.00%	5	0	0	0.54	0	0
19	Jaydon Dureau	Bears (WSH)	LW	15	1	0	1	4	0	0	9	14	2	7	7.14%	1	14.13	0	0	0	0	0	0	0	5	0	0	18.18%	11	0	0	0.09	0	0
20	Ryan Carpenter	Bears (WSH)	C/LW/RW	5	0	0	0	-2	2	0	0	13	2	6	0.00%	1	10.00	0	0	0	0	0	0	0	11	0	0	58.23%	79	0	0	0.00	0	0
21	Ondrej Pavel	Bears (WSH)	C/LW/RW	5	0	0	0	-2	2	0	1	6	2	4	0.00%	0	6.48	0	0	0	0	0	0	0	0	0	0	50.00%	40	0	0	0.00	0	0
22	Filip Engaras	Bears (WSH)	C	1	0	0	0	1	0	0	0	2	1	0	0.00%	0	11.60	0	0	0	0	0	0	0	2	0	0	33.33%	12	0	0	0.00	0	0
Team Total or Average			379	74	132	206	135	191	15	481	629	172	440	11.76%	185	15.90	20	33	53	569	1	2	3	538	15	3	49.70%	1509	0	1	0.68	2	4

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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Nico Daws	Bears (WSH)	11	9	1	0	0.946	1.68	644	4	1	18	331	0	0.750	4	10	10	3	0	1
2	Yaroslav Askarov	Bears (WSH)	10	7	2	1	0.910	2.66	563	0	0	25	278	0	0.000	0	10	4	2	0	0
3	Matthew Murray	Bears (WSH)	2	1	1	0	0.913	3.53	119	0	0	7	80	0	0.000	0	2	8	0	0	0
Team Total or Average		23	17	4	1	0.927	2.26	1328	4	1	50	689	0	0.750	4	22	22	5	0	1

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Alexander Nylander	RW	25	775,000$	775,000$	RFA
Anton Malmstrom	D	23	910,000$	910,000$	910,000$	RFA
Austin Wagner	LW	26	1,100,000$	1,100,000$	RFA
Carson Focht	C	23	825,000$	825,000$	RFA
Chase Stillman	RW	20	863,333$	863,333$	863,333$	863,333$	RFA
Cody Glass	C/RW	24	1,000,000$	1,000,000$	RFA
Cole McWard	D	22	922,500$	922,500$	RFA
Colin Swoyer	D	25	850,000$	850,000$	RFA
Corey Andonovski	RW	24	925,000$	925,000$	RFA
Dmitri Semykin	D	23	850,000$	850,000$	RFA
Dom DiVincentiis	G	19	858,333$	858,333$	858,333$	858,333$	RFA
Eric Staal	C	39	1,300,000$	1,300,000$	UFA
Filip Engaras	C	24	775,000$	775,000$	RFA
Jack Johnson	D	36	800,000$	800,000$	800,000$	UFA
Jason Polin	RW	24	870,000$	870,000$	RFA
Jaydon Dureau	LW	22	841,667$	841,667$	841,667$	RFA
Joakim Kemell	RW	19	918,333$	918,333$	918,333$	918,333$	RFA
Jordan Oesterle	D	31	800,000$	800,000$	800,000$	UFA
Martin Kaut	C/RW	24	1,000,000$	1,000,000$	1,000,000$	RFA
Mathias Laferriere	RW	23	775,000$	775,000$	RFA
Matthew Murray	G	25	775,000$	775,000$	RFA
Max Comtois	C/LW	24	1,250,000$	1,250,000$	RFA
Maximus Wanner	D	20	846,667$	846,667$	846,667$	RFA
Mikko Kokkonen	D	22	846,667$	846,667$	846,667$	RFA
Nick Perbix	D	25	1,125,000$	1,125,000$	1,125,000$	RFA
Nico Daws	G	22	850,833$	850,833$	RFA
Nolan Lalonde	G	19	798,333$	798,333$	798,333$	RFA
Ondrej Pavel	C/LW/RW	23	870,000$	870,000$	870,000$	RFA
Pavol Regenda	LW/RW	24	855,000$	855,000$	RFA
Ronnie Attard	D	24	900,000$	900,000$	RFA
Ryan Carpenter	C/LW/RW	32	1,000,000$	1,000,000$	UFA
Sam Malinski	D	25	850,000$	850,000$	850,000$	RFA
Simon Nemec	D	19	775,000$	775,000$	RFA
Yaroslav Askarov	G	21	925,000$	925,000$	925,000$	RFA

Lines

Forward Lines
# - Austin Wagner	# - Cody Glass	# - Joakim Kemell
# - Pavol Regenda	# - Max Comtois	# - Chase Stillman
# - Jaydon Dureau	# - Martin Kaut	# - Alexander Nylander
# - Austin Wagner	# - Jason Polin	# - Martin Kaut

Defensive Pairings
# - Jack Johnson	# - Nick Perbix
# - Jordan Oesterle	# - Ronnie Attard
# - Colin Swoyer	# - Simon Nemec

1st Power Play Unit
# - Austin Wagner		# - Cody Glass		# - Chase Stillman
# - Jack Johnson			# - Nick Perbix

2nd Power Play Unit
# - Pavol Regenda		# - Max Comtois		# - Joakim Kemell
# - Jordan Oesterle			# - Ronnie Attard

Goalies
# - Nico Daws		# - Yaroslav Askarov

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	GF	GA	Diff	P	PCT	G	A	TP	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	Phantoms	3	1	1	1	0	0	10	9	1	4	0.667	10	19	29	0	32	24	23	4	77	208	237	217	10	103	26	43	75	13	4	30.77%	18	8	55.56%	0	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	85.7%	13.0%	91.3%	104.2	LUCKY
2	Senators	1	1	0	0	0	0	9	1	8	2	1.000	9	18	27	0	32	24	23	4	65	208	237	217	10	20	10	15	28	3	1	33.33%	4	1	75.00%	0	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	100.0%	13.8%	95.0%	108.8	LUCKY
3	Islanders	4	2	1	0	1	0	16	13	3	5	0.625	16	29	45	0	32	24	23	4	115	208	237	217	10	130	32	32	94	11	4	36.36%	16	2	87.50%	0	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	52.2%	13.9%	90.0%	103.9	FUN
4	Wild	2	1	0	1	0	0	7	4	3	4	1.000	7	13	20	0	32	24	23	4	72	208	237	217	10	70	22	12	47	11	1	9.09%	6	1	83.33%	0	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	66.7%	9.7%	94.3%	104.0	LUCKY
5	Crunch	1	0	0	0	0	1	3	2	1	2	1.000	3	3	6	0	32	24	23	4	28	208	237	217	10	37	7	13	27	3	0	0.00%	4	0	100.00%	0	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	60.0%	10.7%	94.6%	105.3	LUCKY
6	Bruins	2	2	0	0	0	0	6	3	3	4	1.000	6	10	16	0	32	24	23	4	48	208	237	217	10	68	23	24	35	6	2	33.33%	11	1	90.91%	0	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	66.7%	12.5%	95.6%	108.1	LUCKY
7	Checkers	2	2	0	0	0	0	6	1	5	4	1.000	6	11	17	1	32	24	23	4	55	208	237	217	10	51	18	8	55	9	3	33.33%	4	1	75.00%	0	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	100.0%	10.9%	98.0%	108.9	LUCKY
8	Monsters	1	1	0	0	0	0	8	4	4	2	1.000	8	13	21	0	32	24	23	4	53	208	237	217	10	42	9	4	28	2	2	100.00%	2	0	100.00%	0	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	60.0%	15.1%	90.5%	105.6	FUN
9	Penguins	6	4	2	0	0	0	17	13	4	8	0.667	17	29	46	0	32	24	23	4	155	208	237	217	10	168	44	54	106	20	4	20.00%	24	6	75.00%	1	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	65.0%	11.0%	92.3%	103.2	LUCKY
	_Vs Division	6	11	4	1	1	0	24	7	17	25	2.083	24	42	66	1	32	24	23	4	196	208	237	217	10	176	58	60	145	21	6	28.57%	23	3	86.96%	0	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	81.8%	12.2%	96.0%	108.3	LUCKY
	_Vs Conference	20	13	4	1	1	1	75	46	29	31	0.775	75	132	207	1	32	24	23	4	596	208	237	217	10	619	169	193	448	67	20	29.85%	83	19	77.11%	1	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	67.1%	12.6%	92.6%	105.2	LUCKY
	_Since Last GM Reset	22	14	4	2	1	1	82	50	32	35	0.795	82	145	227	1	32	24	23	4	668	208	237	217	10	689	191	205	495	78	21	26.92%	89	20	77.53%	1	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	67.0%	12.3%	92.7%	105.0	LUCKY
	Total	22	14	4	2	1	1	82	50	32	35	0.795	82	145	227	1	32	24	23	4	668	208	237	217	10	689	191	205	495	78	21	26.92%	89	20	77.53%	1	373	759	49.14%	392	808	48.51%	174	353	49.29%	521	354	523	167	286	143	67.0%	12.3%	92.7%	105.0	LUCKY

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	759
Neutral Zone Start	353
Defensive Zone Start	808

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	939
Faceoffs Lost	981

	Team Average Shots after	League Average Shots after
1st Period	9.5	9.57
2nd Period	20.2	20.31
3rd Period	30.1	30.68
Overtime	30.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.5	0.64
2nd Period	2.5	1.65
3rd Period	3.6	2.67
Overtime	3.8	2.83


Even Strenght Goal	60
PP Goal	21
PK Goal	1
Empty Net Goal	0

	Home	Away
Win	7	10
Lost	2	2
Overtime Lost	1	0


PP Attempt	78
PP Goal	21
PK Attempt	89
PK Goal Against	20

	Home
Shots For	30.4
Shots Against	31.3
Goals For	3.7
Goals Against	2.3
Hits	22.5
Shots Blocked	8.7
Pim	9.3

Schedule

Date	Matchup			Result	Detail
2023-10-14	Senators	@	Bears	Senators1,Bears9	RECAP
2023-10-15	Monsters	@	Bears	Monsters4,Bears8	RECAP
2023-10-20	Bears	@	Bruins	Bears4,Bruins2	RECAP
2023-10-21	Bears	@	Bruins	Bears2,Bruins1	RECAP
2023-10-22	Bears	@	Islanders	Bears5,Islanders3	RECAP
2023-10-25	Bears	@	Penguins	Bears2,Penguins3	RECAP
2023-10-28	Phantoms	@	Bears	Phantoms4,Bears5 (OT)	RECAP
2023-10-29	Penguins	@	Bears	Penguins1,Bears2	RECAP
2023-11-03	Bears	@	Penguins	Bears4,Penguins2	RECAP
2023-11-04	Islanders	@	Bears	Islanders5,Bears4 (OT)	RECAP
2023-11-11	Bears	@	Phantoms	Bears4,Phantoms2	RECAP
2023-11-12	Phantoms	@	Bears	Phantoms3,Bears1	RECAP
2023-11-15	Bears	@	Penguins	Bears4,Penguins2	RECAP
2023-11-17	Islanders	@	Bears	Islanders4,Bears3	RECAP
2023-11-18	Bears	@	Islanders	Bears4,Islanders1	RECAP
2023-11-22	Penguins	@	Bears	Penguins2,Bears3	RECAP
2023-11-25	Wild	@	Bears	Wild3,Bears4 (OT)	RECAP
2023-11-26	Wild	@	Bears	Wild1,Bears3	RECAP
2023-11-29	Bears	@	Penguins	Bears2,Penguins3	RECAP
2023-12-01	Bears	@	Checkers	Bears2,Checkers0	RECAP
2023-12-02	Bears	@	Checkers	Bears4,Checkers1	RECAP
2023-12-08	Bears	@	Crunch	Bears3,Crunch2 (SO)	RECAP
2023-12-09	Monsters	@	Bears
2023-12-10	Checkers	@	Bears
2023-12-13	Bruins	@	Bears
2023-12-16	Rocket	@	Bears
2023-12-17	Thunderbirds	@	Bears
2023-12-22	Bears	@	Thunderbirds
2023-12-23	Bruins	@	Bears
2023-12-27	Penguins	@	Bears
2023-12-29	Bears	@	Americans
2023-12-30	Bears	@	Phantoms
2024-01-03	Checkers	@	Bears
2024-01-06	Wolf Pack	@	Bears
2024-01-07	Phantoms	@	Bears
2024-01-13	Bears	@	Phantoms
2024-01-15	Bears	@	Islanders
2024-01-19	Bears	@	Wolf Pack
2024-01-20	Penguins	@	Bears
2024-01-24	Thunderbirds	@	Bears
2024-01-27	Bears	@	Penguins
2024-01-28	Marlies	@	Bears
2024-01-31	Bears	@	Phantoms
2024-02-02	Bears	@	Phantoms
2024-02-03	Islanders	@	Bears
2024-02-09	Bears	@	Bruins
2024-02-10	Bears	@	Thunderbirds
2024-02-14	Phantoms	@	Bears
2024-02-17	Bears	@	Marlies
2024-02-19	Bears	@	Senators
2024-02-21	Bears	@	Rocket
2024-02-23	Penguins	@	Bears
2024-02-24	Americans	@	Bears
2024-03-02	Comets	@	Bears
2024-03-03	Bears	@	Phantoms
2024-03-08	Bears	@	Checkers
Trade Deadline --- Trades can�t be done after this day is simulated!
2024-03-09	Bears	@	Checkers
2024-03-15	Bears	@	Comets
2024-03-16	Crunch	@	Bears
2024-03-17	Wolf Pack	@	Bears
2024-03-21	Bears	@	Monsters
2024-03-23	Bears	@	Monsters
2024-03-26	Bruins	@	Bears
2024-03-30	Bears	@	Wolf Pack
2024-04-02	Phantoms	@	Bears
2024-04-05	Bears	@	Wild
2024-04-06	Bears	@	Wild
2024-04-12	Phantoms	@	Bears
2024-04-13	Bears	@	Penguins
2024-04-14	Penguins	@	Bears
2024-04-17	Checkers	@	Bears
2024-04-20	Checkers	@	Bears

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,832,666$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Hershey
	Capacity	3000
	Season Ticket Holders	0%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	0$	$	$	$
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
26	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,832,666$	2,832,666$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,005,603$	14,526$	851,727$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	132	17,091$	2,307,285$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
2,307,285$	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

Eric Staal is suspended for 60 more games.

Ryan Carpenter is out for 1 month because of a Sprained Right Finger Injury.

Game Center

Bears17-4-1, 35pts

41Final

Checkers10-10-0, 20pts

Bears17-4-1, 35pts

32Final

Crunch10-8-2, 22pts

Bears17-4-1, 35pts

Sat, Dec 09

Crunch10-8-2, 22pts

Monsters7-11-3, 17pts

Mon, Oct 16

Bears17-4-1, 35pts

Sat, Oct 21

Bruins15-6-2, 32pts

TRANSACTIONS

Team Info


	Head Coach	Dave Lowry
	Division	Atlantic
	City	Hershey
	Stadium Capacity	3,000

Bears Affiliation


	General Manager	Kevin Mancheron
	Head Coach	Dave Tippett
	Stadium	Capital One Arena
	Capacity	18,000

Team Leaders

GOALS Max Comtois Bears	12 GOALS
POINTS Joakim Kemell Bears	22 POINTS
WINS Nico Daws Bears	9 WINS
Expanded Player Leaderboard

Team Stats

Goals For 82 3.73 GFG	Goals Against 50 2.27 GAA
Power Play Percentage 26.9% 21 GF	Penalty Kill Percentage 77.5% 20 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain