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	100.00	68	39	77	57	67	71	74	68	74	57	64	72	60	77	75	0	92	73	31	800,000$/1yrs
Nathan Walker	0	LW	100.00	91	47	76	55	70	75	83	59	62	59	63	69	61	77	75	0	89	73	31
Joseph LaBate	0	LW/RW	100.00	87	44	50	52	92	67	66	70	69	56	55	73	55	79	74	0	63	72	32
Cole Koepke	0	LW/RW	100.00	83	36	91	60	77	74	88	57	55	58	64	61	60	70	69	0	90	72	27	800,000$/1yrs
Christian Fischer	0	C/LW/RW	100.00	78	39	87	57	84	74	84	57	61	61	56	63	57	72	70	0	91	71	28	1,200,000$/1yrs
Emil Bemstrom	0	C/RW	100.00	64	33	93	59	76	73	76	59	59	60	62	57	60	68	67	0	88	71	26
Shane Bowers	15	RW	100.00	62	38	88	53	73	64	67	64	35	54	54	68	54	68	67	0	85	68	25	775,000$/1yrs
Liam Foudy	19	C	100.00	62	33	95	55	76	72	67	58	55	63	50	56	54	66	66	0	88	68	25	950,000$/1yrs
Tyler Tullio (R)	0	RW	100.00	70	40	75	55	72	64	67	61	38	56	54	64	55	63	60	0	45	68	23
Sandis Vilmanis (R)	0	LW	100.00	59	38	93	57	76	64	67	59	38	57	55	62	56	59	58	0	87	67	22	855,000$/2yrs
Milo Roelens	0	C	100.00	73	42	70	54	91	62	66	60	61	51	55	64	53	61	58	0	90	67	22	870,000$/1yrs
Jere Innala	0	LW	100.00	70	32	95	55	68	67	68	51	30	50	50	56	50	69	69	0	94	64	27
Nick Blankenburg	77	D	100.00	67	32	86	60	66	87	84	59	30	63	59	73	59	70	69	0	90	75	27	800,000$/1yrs
Dennis Gilbert	15	D	100.00	79	57	64	55	85	75	75	57	30	63	53	66	55	72	69	0	91	72	28
Jack St. Ivany	0	D	100.00	79	46	69	55	80	82	71	55	30	55	50	80	53	68	65	0	50	71	25	800,000$/1yrs
Alex Petrovic	0	D	100.00	72	41	72	51	87	67	67	50	30	57	52	75	55	80	78	0	54	70	33	800,000$/1yrs
Kevin Gravel	0	D	100.00	63	40	87	49	85	66	66	48	30	54	52	75	53	80	79	0	91	69	33	800,000$/1yrs
Kirill Kudryavtsev (R)	0	D	100.00	62	39	88	52	76	63	66	50	30	57	52	63	55	59	58	0	85	67	21	850,000$/1yrs
Scratches
Logan Brown	22	C	100.00	64	41	85	59	93	70	67	64	68	62	60	68	61	70	69	0	20	73	27
Reece Newkirk	0	C	100.00	68	39	77	53	70	63	65	62	39	54	52	66	53	64	62	0	19	67	24
Jaroslav Chmelar (R)	0	RW	100.00	81	41	62	57	81	64	82	54	49	57	55	64	56	59	55	0	85	67	21	867,500$/2yrs
Noah Philp	0	C	100.00	68	33	95	55	80	71	67	50	74	60	50	57	50	69	68	0	82	66	26
Daniel Torgersson (R)	0	LW/RW	100.00	61	40	89	52	86	62	65	62	45	53	51	65	52	63	61	0	20	66	23
Fabian Wagner (R)	0	C	100.00	61	38	89	55	69	62	66	59	43	52	55	63	54	59	58	0	20	66	21	858,333$/1yrs
Matej Pekar (R)	12	LW	100.00	77	41	63	50	74	60	71	62	66	54	45	65	49	62	59	0	20	65	25
Ryan Francis (R)	0	C	100.00	60	38	90	48	68	58	69	61	67	47	47	64	47	61	60	0	20	63	23
Calle Rosen	48	D	100.00	61	38	89	54	74	68	67	52	30	60	53	73	56	77	76	0	87	71	31
Marshall Rifai	0	D	100.00	80	42	58	50	80	64	66	48	30	55	51	69	53	70	66	0	28	67	27
Cade Webber (R)	0	D	100.00	67	41	80	47	90	62	65	47	30	52	51	66	51	64	62	0	84	65	24	875,000$/1yrs
Dmitri Samorukov	58	D	100.00	63	39	85	46	77	61	88	45	30	51	48	66	50	64	63	0	20	64	26

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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`)
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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.
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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	100.00	63	76	72	82	77	72	80	86	82	85	80	69	73	0	88	81	26
Eric Comrie	0	100.00	72	71	70	74	78	70	79	84	78	84	79	75	79	0	40	80	29	825,000$/1yrs
Scratches
Colten Ellis	45	100.00	75	70	72	74	79	76	77	75	76	74	76	67	67	0	88	78	24	800,000$/1yrs
Ty Young	0	100.00	73	58	70	75	73	76	73	73	76	76	74	60	59	0	42	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	61	4	1,000,000$

General Manager

Player Stats

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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	GA	TA	EG	HT	P/20	PSG	PSS

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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

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23
Alex Petrovic	D	33	800,000$	800,000$	UFA
Cade Webber	D	24	875,000$	875,000$	RFA
Calle Rosen	D	31	0$	UFA
Christian Fischer	C/LW/RW	28	1,200,000$	1,200,000$	UFA
Cole Koepke	LW/RW	27	800,000$	800,000$	UFA
Colten Ellis	G	24	800,000$	800,000$	RFA
Daniel Torgersson	LW/RW	23	0$	RFA
Daniil Tarasov	G	26	0$	RFA
Dennis Gilbert	D	28	0$	UFA
Dmitri Samorukov	D	26	0$	RFA
Emil Bemstrom	C/RW	26	0$	RFA
Eric Comrie	G	29	825,000$	825,000$	UFA
Fabian Wagner	C	21	858,333$	858,333$	RFA
Jack St. Ivany	D	25	800,000$	800,000$	RFA
Jaroslav Chmelar	RW	21	867,500$	867,500$	867,500$	RFA
Jere Innala	LW	27	0$	UFA
Joseph LaBate	LW/RW	32	0$	UFA
Kevin Gravel	D	33	800,000$	800,000$	UFA
Kirill Kudryavtsev	D	21	850,000$	850,000$	RFA
Liam Foudy	C	25	950,000$	950,000$	RFA
Logan Brown	C	27	0$	UFA
Marshall Rifai	D	27	0$	UFA
Matej Pekar	LW	25	0$	RFA
Milo Roelens	C	22	870,000$	870,000$	RFA
Nathan Walker	LW	31	0$	UFA
Nick Blankenburg	D	27	800,000$	800,000$	UFA
Noah Philp	C	26	0$	RFA
Reece Newkirk	C	24	0$	RFA
Ryan Francis	C	23	0$	RFA
Sandis Vilmanis	LW	22	855,000$	855,000$	855,000$	RFA
Shane Bowers	RW	25	775,000$	775,000$	RFA
Sheldon Dries	C	31	800,000$	800,000$	UFA
Ty Young	G	20	0$	RFA
Tyler Tullio	RW	23	0$	RFA

Lines

Forward Lines
# - Nathan Walker	# - Sheldon Dries	# - Joseph LaBate
# - Cole Koepke	# - Emil Bemstrom	# - Christian Fischer
# - Sandis Vilmanis	# - Liam Foudy	# - Shane Bowers
# - Jere Innala	# - Milo Roelens	# - Tyler Tullio

Defensive Pairings
# - Nick Blankenburg	# - Dennis Gilbert
# - Jack St. Ivany	# - Alex Petrovic
# - Kevin Gravel	# - Kirill Kudryavtsev

1st Power Play Unit
# - Nathan Walker		# - Sheldon Dries		# - Joseph LaBate
# - Nick Blankenburg			# - Dennis Gilbert

2nd Power Play Unit
# - Cole Koepke		# - Emil Bemstrom		# - Christian Fischer
# - Jack St. Ivany			# - Alex Petrovic

Goalies
# - Daniil Tarasov		# - Eric Comrie

Team Stats

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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	T	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0	nan%	nan%	nan%	nan	Unlucky

	Puck Time
Offensive Zone	NAN
Neutral Zone	NAN
Defensive Zone	NAN

	Puck Time
Offensive Zone Start	0
Neutral Zone Start	0
Defensive Zone Start	0

	Puck Time
With Puck	NAN
Without Puck	NAN

	Faceoffs
Faceoffs Won	0
Faceoffs Lost	0

	Team Average Shots after	League Average Shots after
1st Period	nan	9.57
2nd Period	nan	20.31
3rd Period	nan	30.68
Overtime	nan	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	nan	0.64
2nd Period	nan	1.65
3rd Period	nan	2.67
Overtime	nan	2.83


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

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


PP Attempt	0
PP Goal	0
PK Attempt	0
PK Goal Against	0

	Home
Shots For	nan
Shots Against	nan
Goals For	nan
Goals Against	nan
Hits	nan
Shots Blocked	nan
Pim	nan

Schedule

Date	Matchup			Result	Detail

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
1,370,083$	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	0.00%	0.00%	0.00%	0.00%	0.00%
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
36	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
1,370,083$	1,370,083$	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$	0	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 6 more games.

Game Center

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

Expanded Player Leaderboard

Team Stats

Goals For 0 nan GFG	Goals Against 0 nan GAA
Power Play Percentage nan% 0 GF	Penalty Kill Percentage nan% 0 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain