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
Sheldon Dries	24	C	97.00	68	39	77	57	67	71	74	68	74	57	64	72	60	77	75	0	90	73	31	800,000$/2yrs
Nathan Walker	0	LW	100.00	91	47	76	55	70	75	83	59	62	59	63	69	61	77	75	0	83	73	31	900,000$/1yrs
Joseph LaBate	0	LW/RW	100.00	87	44	50	52	92	67	66	70	69	56	55	73	55	79	74	0	49	72	32	775,000$/1yrs
Cole Koepke	0	LW/RW	97.00	83	36	91	60	77	74	88	57	55	58	64	61	60	70	69	0	88	72	26	800,000$/2yrs
Christian Fischer	0	C/LW/RW	97.00	78	39	87	57	84	74	84	57	61	61	56	63	57	72	70	0	88	71	28	1,200,000$/2yrs
Emil Bemstrom	0	C/RW	98.00	64	33	93	59	76	73	76	59	59	60	62	57	60	68	67	0	82	71	25	775,000$/1yrs
Shane Bowers	15	RW	100.00	62	38	88	53	73	64	67	64	35	54	54	68	54	68	67	0	74	68	25	775,000$/2yrs
Liam Foudy	19	C	100.00	62	33	95	55	76	72	67	58	55	63	50	56	54	66	66	0	85	68	25	950,000$/2yrs
Sandis Vilmanis (R)	0	LW	98.00	59	38	93	57	76	64	67	59	38	57	55	62	56	59	58	0	82	67	22	855,000$/3yrs
Milo Roelens	0	C	100.00	73	42	70	54	91	62	66	60	61	51	55	64	53	61	58	0	86	67	22	870,000$/2yrs
Jaroslav Chmelar (R)	0	RW	100.00	81	41	62	57	81	64	82	54	49	57	55	64	56	59	55	0	88	67	21	867,500$/3yrs
Noah Philp	0	C	100.00	68	33	95	55	80	71	67	50	74	60	50	57	50	69	68	0	84	66	26	775,000$/1yrs
Jere Innala	0	LW	97.00	70	32	95	55	68	67	68	51	30	50	50	56	50	69	69	0	89	64	27	870,000$/1yrs
Nick Blankenburg	77	D	97.00	67	32	86	60	66	87	84	59	30	63	59	73	59	70	69	0	88	75	26	800,000$/2yrs
Dennis Gilbert	15	D	97.00	79	57	64	55	85	75	75	57	30	63	53	66	55	72	69	0	88	72	28	775,000$/1yrs
Calle Rosen	48	D	96.00	61	38	89	54	74	68	67	52	30	60	53	73	56	77	76	0	89	71	31	900,000$/1yrs
Kevin Gravel	0	D	98.00	63	40	87	49	85	66	66	48	30	54	52	75	53	80	79	0	89	69	33	800,000$/2yrs
Kirill Kudryavtsev (R)	0	D	100.00	62	39	88	52	76	63	66	50	30	57	52	63	55	59	58	0	70	67	21	850,000$/2yrs
Cade Webber (R)	0	D	100.00	67	41	80	47	90	62	65	47	30	52	51	66	51	64	62	0	86	65	24	875,000$/2yrs
Scratches
Logan Brown	22	C	100.00	64	41	85	59	93	70	67	64	68	62	60	68	61	70	69	0	23	73	27	950,000$/1yrs
Tyler Tullio (R)	0	RW	100.00	70	40	75	55	72	64	67	61	38	56	54	64	55	63	60	0	36	68	23	823,333$/1yrs
Reece Newkirk	0	C	100.00	68	39	77	53	70	63	65	62	39	54	52	66	53	64	62	0	23	67	24	775,000$/1yrs
Daniel Torgersson (R)	0	LW/RW	100.00	61	40	89	52	86	62	65	62	45	53	51	65	52	63	61	0	23	66	23	867,500$/1yrs
Fabian Wagner (R)	0	C	100.00	61	38	89	55	69	62	66	59	43	52	55	63	54	59	58	0	23	66	20	858,333$/2yrs
Matej Pekar (R)	12	LW	100.00	77	41	63	50	74	60	71	62	66	54	45	65	49	62	59	0	23	65	25	850,000$/1yrs
Ryan Francis (R)	0	C	100.00	60	38	90	48	68	58	69	61	67	47	47	64	47	61	60	0	23	63	23
Jack St. Ivany	0	D	100.00	79	46	69	55	80	82	71	55	30	55	50	80	53	68	65	0	42	71	25	800,000$/2yrs
Alex Petrovic	0	D	100.00	72	41	72	51	87	67	67	50	30	57	52	75	55	80	78	0	45	70	33	800,000$/2yrs
Marshall Rifai	0	D	100.00	80	42	58	50	80	64	66	48	30	55	51	69	53	70	66	0	34	67	27	775,000$/1yrs
Dmitri Samorukov	58	D	100.00	63	39	85	46	77	61	88	45	30	51	48	66	50	64	63	0	23	64	25	900,000$/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
Daniil Tarasov	40	95.00	63	76	72	82	77	72	80	86	82	85	80	69	73	0	86	81	25	1,050,000$/1yrs
Colten Ellis	45	100.00	75	70	72	74	79	76	77	75	76	74	76	67	67	0	90	78	24	800,000$/2yrs
Scratches
Ty Young	0	100.00	73	58	70	75	73	76	73	73	76	76	74	60	59	0	44	75	20

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Lane Lambert	93	84	82	95	78	74	86	CAN	60	5	1,000,000$

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	PKP	PKM	GW	GT	FO%	FOT	HT	P/20	PSS
1	Cole Koepke	Monsters (CBJ)	LW/RW	2	1	5	6	-1	0	0	1	10	2	7	10.00%	0	26.74	1	2	3	8	0	2	0	0	37.50%	8	0	2.24	0
2	Sheldon Dries	Monsters (CBJ)	C	2	3	2	5	-1	0	0	2	20	3	11	15.00%	0	25.57	1	1	2	8	0	0	1	0	49.21%	63	0	1.96	0
3	Nick Blankenburg	Monsters (CBJ)	D	2	0	2	2	-1	2	0	9	8	3	0	0.00%	3	29.71	0	1	1	8	0	5	0	0	0.00%	0	0	0.67	0
4	Calle Rosen	Monsters (CBJ)	D	2	0	1	1	-1	0	0	3	5	1	7	0.00%	3	30.04	0	1	1	8	0	7	0	0	0.00%	0	0	0.33	0
5	Joseph LaBate	Monsters (CBJ)	LW/RW	2	1	0	1	1	2	0	3	9	5	1	11.11%	0	17.04	0	0	0	7	0	3	0	0	66.67%	3	0	0.59	0
6	Kevin Gravel	Monsters (CBJ)	D	2	0	1	1	1	2	0	0	3	0	3	0.00%	5	22.44	0	0	0	7	0	4	0	0	0.00%	0	0	0.45	0
7	Dennis Gilbert	Monsters (CBJ)	D	2	1	0	1	-3	0	0	8	4	2	3	25.00%	3	26.63	0	0	0	7	0	6	0	0	0.00%	0	0	0.38	0
8	Noah Philp	Monsters (CBJ)	C	2	0	1	1	1	0	0	0	4	0	0	0.00%	0	15.18	0	0	0	0	0	7	0	0	52.08%	48	0	0.66	0
9	Cade Webber	Monsters (CBJ)	D	2	0	1	1	1	0	0	4	1	0	2	0.00%	4	16.61	0	0	0	0	0	0	0	0	0.00%	0	0	0.60	0
10	Jere Innala	Monsters (CBJ)	LW	2	1	0	1	-3	0	0	6	3	0	1	33.33%	0	25.13	1	0	1	7	0	7	0	0	50.00%	2	0	0.40	0
11	Christian Fischer	Monsters (CBJ)	C/LW/RW	2	0	0	0	-1	4	0	6	4	3	4	0.00%	0	26.10	0	0	0	7	0	2	0	0	41.67%	24	0	0.00	0
12	Nathan Walker	Monsters (CBJ)	LW	2	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.46	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0
13	Emil Bemstrom	Monsters (CBJ)	C/RW	2	0	0	0	-3	0	0	1	4	0	4	0.00%	1	21.87	0	0	0	8	0	0	0	0	50.00%	6	0	0.00	0
14	Shane Bowers	Monsters (CBJ)	RW	2	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0
15	Liam Foudy	Monsters (CBJ)	C	2	0	0	0	-3	0	0	3	4	1	5	0.00%	0	18.34	0	0	0	0	0	0	0	0	36.00%	50	0	0.00	0
16	Kirill Kudryavtsev	Monsters (CBJ)	D	2	0	0	0	-3	0	0	1	1	0	0	0.00%	3	20.38	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0
17	Sandis Vilmanis	Monsters (CBJ)	LW	2	0	0	0	1	0	0	1	5	1	5	0.00%	1	19.63	0	0	0	0	0	0	0	0	50.00%	2	0	0.00	0
18	Milo Roelens	Monsters (CBJ)	C	2	0	0	0	0	2	0	1	4	1	0	0.00%	0	8.33	0	0	0	0	0	0	0	0	52.17%	23	0	0.00	0
19	Jaroslav Chmelar	Monsters (CBJ)	RW	2	0	0	0	0	0	0	3	3	1	2	0.00%	1	8.34	0	0	0	0	0	0	0	0	0.00%	1	0	0.00	0
Team Total or Average			38	7	13	20	-15	12	0	52	92	23	55	7.61%	24	18.87	3	5	8	83	0	47	1	0	46.09%	230	0	0.56	0

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Daniil Tarasov	Monsters (CBJ)	2	1	1	0	0.917	2.92	144	0	0	7	84	0	0	0	0.000	0	2	0	0	0	0
Team Total or Average		2	1	1	0	0.917	2.92	144	0	0	7	84	0	0	0	0.000	0	2	0	0	0	0

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Alex Petrovic	D	33	800,000$	800,000$	800,000$	UFA
Cade Webber	D	24	875,000$	875,000$	875,000$	RFA
Calle Rosen	D	31	900,000$	900,000$	UFA
Christian Fischer	C/LW/RW	28	1,200,000$	1,200,000$	1,200,000$	UFA
Cole Koepke	LW/RW	26	800,000$	800,000$	800,000$	UFA
Colten Ellis	G	24	800,000$	800,000$	800,000$	RFA
Daniel Torgersson	LW/RW	23	867,500$	867,500$	RFA
Daniil Tarasov	G	25	1,050,000$	1,050,000$	RFA
Dennis Gilbert	D	28	775,000$	775,000$	UFA
Dmitri Samorukov	D	25	900,000$	900,000$	RFA
Emil Bemstrom	C/RW	25	775,000$	775,000$	RFA
Fabian Wagner	C	20	858,333$	858,333$	858,333$	RFA
Jack St. Ivany	D	25	800,000$	800,000$	800,000$	RFA
Jaroslav Chmelar	RW	21	867,500$	867,500$	867,500$	867,500$	RFA
Jere Innala	LW	27	870,000$	870,000$	UFA
Joseph LaBate	LW/RW	32	775,000$	775,000$	UFA
Kevin Gravel	D	33	800,000$	800,000$	800,000$	UFA
Kirill Kudryavtsev	D	21	850,000$	850,000$	850,000$	RFA
Liam Foudy	C	25	950,000$	950,000$	950,000$	RFA
Logan Brown	C	27	950,000$	950,000$	UFA
Marshall Rifai	D	27	775,000$	775,000$	UFA
Matej Pekar	LW	25	850,000$	850,000$	RFA
Milo Roelens	C	22	870,000$	870,000$	870,000$	RFA
Nathan Walker	LW	31	900,000$	900,000$	UFA
Nick Blankenburg	D	26	800,000$	800,000$	800,000$	UFA
Noah Philp	C	26	775,000$	775,000$	RFA
Reece Newkirk	C	24	775,000$	775,000$	RFA
Ryan Francis	C	23	0$	RFA
Sandis Vilmanis	LW	22	855,000$	855,000$	855,000$	855,000$	RFA
Shane Bowers	RW	25	775,000$	775,000$	775,000$	RFA
Sheldon Dries	C	31	800,000$	800,000$	800,000$	UFA
Ty Young	G	20	0$	RFA
Tyler Tullio	RW	23	823,333$	823,333$	RFA

Lines

Forward Lines
# - Christian Fischer	# - Sheldon Dries	# - Cole Koepke
# - Jere Innala	# - Liam Foudy	# - Emil Bemstrom
# - Joseph LaBate	# - Noah Philp	# - Sandis Vilmanis
# - Sandis Vilmanis	# - Milo Roelens	# - Jaroslav Chmelar

Defensive Pairings
# - Nick Blankenburg	# - Calle Rosen
# - Dennis Gilbert	# - Kirill Kudryavtsev
# - Kevin Gravel	# - Cade Webber

1st Power Play Unit
# - Jere Innala		# - Sheldon Dries		# - Cole Koepke
# - Nick Blankenburg			# - Calle Rosen

2nd Power Play Unit
# - Joseph LaBate		# - Christian Fischer		# - Emil Bemstrom
# - Dennis Gilbert			# - Kevin Gravel

Goalies
# - Daniil Tarasov		# - Colten Ellis

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	GF	GA	P	PCT	G	A	TP	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	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	Griffins	2	1	1	7	7	2	0.500	7	13	20	2	2	2	1	92	26	28	27	11	84	24	12	52	10	3	30.00%	6	100.00%	44	93	47.31%	46	89	51.69%	16	48	33.33%	57	39	55	18	32	17	36.4%	7.6%	91.7%	99.3	DULL
	_Vs Conference	2	1	1	7	7	2	0.500	7	13	20	2	2	2	1	92	26	28	27	11	84	24	12	52	10	3	30.00%	6	100.00%	44	93	47.31%	46	89	51.69%	16	48	33.33%	57	39	55	18	32	17	36.4%	7.6%	91.7%	99.3	DULL
	_Since Last GM Reset	2	1	1	7	7	2	0.500	7	13	20	2	2	2	1	92	26	28	27	11	84	24	12	52	10	3	30.00%	6	100.00%	44	93	47.31%	46	89	51.69%	16	48	33.33%	57	39	55	18	32	17	36.4%	7.6%	91.7%	99.3	DULL
	Total	2	1	1	7	7	2	0.500	7	13	20	2	2	2	1	92	26	28	27	11	84	24	12	52	10	3	30.00%	6	100.00%	44	93	47.31%	46	89	51.69%	16	48	33.33%	57	39	55	18	32	17	36.4%	7.6%	91.7%	99.3	DULL

	Puck Time
Offensive Zone	28
Neutral Zone	16
Defensive Zone	27

	Puck Time
Offensive Zone Start	93
Neutral Zone Start	48
Defensive Zone Start	89

	Puck Time
With Puck	37
Without Puck	35

	Faceoffs
Faceoffs Won	106
Faceoffs Lost	124

	Team Average Shots after	League Average Shots after
1st Period	13.0	9.57
2nd Period	27.0	20.31
3rd Period	40.5	30.68
Overtime	46.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.0	0.64
2nd Period	2.0	1.65
3rd Period	3.0	2.67
Overtime	3.5	2.83


Even Strenght Goal	4
PP Goal	3
PK Goal	0
Empty Net Goal	0

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


PP Attempt	10
PP Goal	3
PK Attempt	6
PK Goal Against	0

	Home
Shots For	46.0
Shots Against	42.0
Goals For	3.5
Goals Against	3.5
Hits	26.0
Shots Blocked	12.0
Pim	6.0

Schedule

Date	Matchup			Result	Detail
2025-05-01	Griffins	@	Monsters	Griffins3,Monsters4 (OT)	RECAP
2025-05-03	Griffins	@	Monsters	Griffins4,Monsters3	RECAP
2025-05-05	Monsters	@	Griffins
2025-05-07	Monsters	@	Griffins
2025-05-09	Griffins	@	Monsters
2025-05-11	Monsters	@	Griffins
Trade Deadline --- Trades can�t be done after this day is simulated!
2025-05-13	Griffins	@	Monsters

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,551,166$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Cleveland
	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
34	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,551,166$	2,551,166$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
0$	0$	0$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	11	0$	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

Logan Brown is suspended for 11 more games.

Game Center

Griffins1-1-0, 2pts

34Final

Monsters1-1-0, 2pts

Griffins1-1-0, 2pts

43Final

Monsters1-1-0, 2pts

Griffins1-1-0, 2pts

Sun, May 04

Monsters1-1-0, 2pts

Griffins1-1-0, 2pts

Sun, May 04

Monsters1-1-0, 2pts

Tue, May 06

Griffins1-1-0, 2pts

TRANSACTIONS

Team Info


	Head Coach	Lane Lambert
	Division	North
	City	Cleveland
	Stadium Capacity	3,000

Monsters Affiliation


	General Manager	Étienne Bourget
	Head Coach	Derek Lalonde
	Stadium	Nationwide Arena
	Capacity	18,000

Team Leaders

GOALS Sheldon Dries Monsters	3 GOALS
POINTS Cole Koepke Monsters	6 POINTS
WINS Daniil Tarasov Monsters	1 WINS
Expanded Player Leaderboard

Team Stats

Goals For 7 3.50 GFG	Goals Against 7 3.50 GAA
Power Play Percentage 30.0% 3 GF	Penalty Kill Percentage 100.0% 0 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain