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
Theo Rochette (R)	0	C	100.00	64	38	89	67	67	74	87	67	71	65	71	67	68	65	64	0	40	76	24	800,000$/3yrs
Alexander Nylander	92	RW	100.00	61	40	92	62	76	72	87	63	45	63	66	67	65	72	71	0	40	74	28	900,000$/1yrs
Justin Robidas (R)	0	C	100.00	60	40	93	66	64	72	87	64	67	67	65	64	66	63	62	0	40	74	23	1,000,000$/2yrs
Julien Gauthier	0	RW	100.00	68	40	83	59	85	72	71	61	42	60	64	71	62	74	72	0	40	73	28	950,000$/2yrs
Denver Barkey (R)	0	C	100.00	68	31	87	65	59	77	72	61	59	67	62	61	62	60	58	0	40	73	21	925,833$/2yrs
Alexander Weiermair (R)	0	C	100.00	67	36	93	62	81	65	75	58	58	65	64	62	67	67	68	0	40	73	21	975,000$/3yrs
Sam Morton	0	LW	100.00	65	40	88	60	71	69	89	60	37	61	63	65	62	70	69	0	40	72	27	850,000$/1yrs
Kenny Connors (R)	0	C	100.00	68	40	84	62	81	70	76	60	74	63	61	67	62	63	61	0	40	72	23	942,500$/1yrs
Lucas Wahlin (R)	0	RW	100.00	60	40	82	67	62	64	69	56	50	60	65	60	68	74	75	0	40	72	25	910,000$/1yrs
Oiva Keskinen (R)	0	C	100.00	62	34	95	65	67	64	75	56	60	60	65	64	68	69	70	0	40	72	22	960,000$/2yrs
Noel Gunler	0	LW/RW	100.00	76	40	75	59	70	67	87	58	43	59	61	64	60	66	64	0	40	70	24	800,000$/1yrs
Joakim Kemell (R)	0	RW	100.00	75	32	99	55	70	72	68	55	57	59	57	68	56	61	61	0	40	69	22	886,666$/1yrs
Dylan Coghlan	10	D	100.00	69	40	82	58	76	72	82	59	30	64	63	69	64	72	70	0	40	74	28	875,000$/2yrs
William Lagesson	92	D	100.00	73	40	78	54	84	71	80	59	30	60	55	78	58	75	73	0	40	74	30	800,000$/1yrs
Alexander Alexeyev	0	D	100.00	69	40	82	55	81	69	72	58	30	60	55	72	58	70	68	0	40	72	26	1,000,000$/1yrs
Jimmy Schuldt	4	D	100.00	74	40	76	52	80	68	88	57	30	58	54	73	56	77	75	0	40	72	31	800,000$/1yrs
Kevin Connauton	7	D	100.00	89	40	59	49	80	69	80	57	30	57	55	76	56	86	82	0	40	72	36	800,000$/1yrs
Maxence Guenette	0	D	100.00	69	40	82	58	83	68	83	58	30	62	56	68	59	66	64	0	40	72	25	850,000$/1yrs
Cole McWard	0	D	100.00	64	40	89	57	76	67	88	57	30	61	56	67	59	66	65	0	40	71	25	800,000$/1yrs
Scratches
Pavol Regenda	0	LW/RW	0.00	84	34	72	63	86	77	69	63	62	54	79	59	71	69	66	0	40	75	26	950,000$/2yrs
Luke Kunin	0	C/LW/RW	0.00	82	44	74	58	76	75	86	57	77	58	61	83	59	73	70	0	40	73	28	900,000$/2yrs
Ivan Ivan (R)	0	C	100.00	58	32	92	60	74	71	73	54	72	57	61	57	57	64	63	0	40	68	24	900,000$/2yrs
Juha Jaaska	0	LW/RW	100.00	69	46	83	55	76	70	68	53	75	65	50	54	51	72	70	0	40	68	28	900,000$/1yrs
Sacha Boisvert (R)	0	C	100.00	61	40	83	63	66	61	65	51	57	60	53	63	62	65	65	0	40	68	20	977,917$/2yrs
Chase Stillman (R)	0	RW	100.00	87	40	61	56	74	63	80	53	48	56	55	61	56	63	59	0	40	67	23	775,000$/1yrs
Carson Bantle (R)	0	LW	100.00	84	40	65	54	88	63	78	51	35	53	54	65	54	64	61	0	40	66	24	850,000$/1yrs
Sam Stange (R)	0	RW	100.00	55	40	99	54	79	63	70	53	36	52	56	64	54	66	66	0	40	66	25	775,000$/1yrs
Austin Roest (R)	0	RW	100.00	70	40	81	55	70	62	72	53	43	56	52	61	54	61	59	0	40	66	22	920,000$/1yrs
Petr Sikora (R)	0	C	100.00	61	34	94	61	63	58	65	46	57	51	51	60	61	65	64	0	40	64	20	995,000$/3yrs
Ronnie Attard	0	D	100.00	85	40	64	53	83	67	84	55	30	58	56	68	57	70	66	0	40	71	27	900,000$/1yrs
Luke Krys	0	D	100.00	72	40	79	54	75	67	83	56	30	58	56	69	57	68	66	0	40	70	26	850,000$/2yrs

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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
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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	100.00	68	77	66	84	55	70	69	68	70	69	69	67	75	0	40	74	25	950,000$/2yrs
Dom DiVincentiis	0	100.00	70	71	66	78	61	70	69	70	70	71	70	60	67	0	40	73	22	905,556$/1yrs
Scratches
Kevin Reidler	0	100.00	63	75	70	84	59	60	62	61	63	58	61	69	69	0	40	70	22	946,250$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dave Tippett	71	75	79	77	91	84	55	CAN	65	1	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	2023-24
Alexander Alexeyev	D	26	1,000,000$	1,000,000$	RFA
Alexander Nylander	RW	28	900,000$	900,000$	UFA
Alexander Weiermair	C	21	975,000$	975,000$	975,000$	975,000$	RFA
Austin Roest	RW	22	920,000$	920,000$	RFA
Carson Bantle	LW	24	850,000$	850,000$	RFA
Chase Stillman	RW	23	775,000$	775,000$	RFA
Cole McWard	D	25	800,000$	800,000$	RFA
Denver Barkey	C	21	925,833$	925,833$	925,833$	RFA
Dom DiVincentiis	G	22	905,556$	905,556$	RFA
Dylan Coghlan	D	28	875,000$	875,000$	875,000$	UFA
Ivan Ivan	C	24	900,000$	900,000$	900,000$	RFA
Jimmy Schuldt	D	31	800,000$	800,000$	UFA
Joakim Kemell	RW	22	886,666$	886,666$	RFA
Juha Jaaska	LW/RW	28	900,000$	900,000$	UFA
Julien Gauthier	RW	28	950,000$	950,000$	950,000$	UFA
Justin Robidas	C	23	1,000,000$	1,000,000$	1,000,000$	RFA
Kenny Connors	C	23	942,500$	942,500$	RFA
Kevin Connauton	D	36	800,000$	800,000$	UFA
Kevin Reidler	G	22	946,250$	946,250$	946,250$	RFA
Lucas Wahlin	RW	25	910,000$	910,000$	RFA
Luke Krys	D	26	850,000$	850,000$	850,000$	UFA
Luke Kunin	C/LW/RW	28	900,000$	900,000$	900,000$	UFA
Maxence Guenette	D	25	850,000$	850,000$	RFA
Nico Daws	G	25	950,000$	950,000$	950,000$	RFA
Noel Gunler	LW/RW	24	800,000$	800,000$	RFA
Oiva Keskinen	C	22	960,000$	960,000$	960,000$	RFA
Pavol Regenda	LW/RW	26	950,000$	950,000$	950,000$	UFA
Petr Sikora	C	20	995,000$	995,000$	995,000$	995,000$	RFA
Ronnie Attard	D	27	900,000$	900,000$	UFA
Sacha Boisvert	C	20	977,917$	977,917$	977,917$	RFA
Sam Morton	LW	27	850,000$	850,000$	UFA
Sam Stange	RW	25	775,000$	775,000$	RFA
Theo Rochette	C	24	800,000$	1,025,000$	1,025,000$	1,025,000$	RFA
William Lagesson	D	30	800,000$	800,000$	UFA

Lines

Forward Lines
# - Justin Robidas	# - Julien Gauthier
# - Noel Gunler	# - Alexander Nylander
# - Kenny Connors	# - Alexander Weiermair	# - Sam Morton
# - Julien Gauthier	# - Alexander Nylander	# - Lucas Wahlin

Defensive Pairings
# - William Lagesson	# - Cole McWard
# - Alexander Alexeyev	# - Kevin Connauton
# - Jimmy Schuldt	# - Maxence Guenette

1st Power Play Unit
# - Alexander Nylander		# - Noel Gunler
# - William Lagesson			# - Jimmy Schuldt

2nd Power Play Unit
# - Justin Robidas		# - Julien Gauthier
# - Alexander Alexeyev			# - Kevin Connauton

Goalies
# - Nico Daws		# - Dom DiVincentiis

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
2026-10-03	Checkers	@	Bears
2026-10-04	Checkers	@	Bears
2026-10-10	Stars	@	Bears
2026-10-11	Stars	@	Bears
2026-10-17	Bruins	@	Bears
2026-10-18	Bruins	@	Bears
2026-10-24	Senators	@	Bears
2026-10-28	Bears	@	Americans
2026-10-30	Bears	@	Marlies
2026-11-01	Penguins	@	Bears
2026-11-04	Wolf Pack	@	Bears
2026-11-06	Bears	@	Thunderbirds
2026-11-07	Bears	@	Thunderbirds
2026-11-11	Hammers	@	Bears
2026-11-13	Penguins	@	Bears
2026-11-15	Checkers	@	Bears
2026-11-20	Americans	@	Bears
2026-11-21	Bears	@	Phantoms
2026-11-25	Penguins	@	Bears
2026-11-27	Bears	@	Checkers
2026-11-28	Bears	@	Checkers
2026-12-02	Bears	@	Phantoms
2026-12-05	Phantoms	@	Bears
2026-12-06	Bears	@	Phantoms
2026-12-11	Bears	@	Phantoms
2026-12-12	Bears	@	Penguins
2026-12-13	Checkers	@	Bears
2026-12-18	Bears	@	Penguins
2026-12-19	Penguins	@	Bears
2026-12-27	Bears	@	Penguins
2026-12-30	Americans	@	Bears
2027-01-02	Monsters	@	Bears
2027-01-03	Monsters	@	Bears
2027-01-06	Bears	@	Wolf Pack
2027-01-08	Bears	@	Bruins
2027-01-10	Penguins	@	Bears
2027-01-12	Phantoms	@	Bears
2027-01-15	Phantoms	@	Bears
2027-01-16	Marlies	@	Bears
2027-01-17	Bears	@	Phantoms
2027-01-22	Bears	@	Crunch
2027-01-23	Bears	@	Americans
2027-01-24	Bears	@	Comets
2027-01-29	Bears	@	Monsters
2027-01-31	Bears	@	Monsters
2027-02-03	Phantoms	@	Bears
2027-02-06	Thunderbirds	@	Bears
2027-02-12	Wolf Pack	@	Bears
2027-02-13	Wolf Pack	@	Bears
2027-02-19	Bears	@	Wolf Pack
2027-02-20	Bears	@	Wolf Pack
Trade Deadline --- Trades can�t be done after this day is simulated!
2027-02-24	Crunch	@	Bears
2027-02-27	Thunderbirds	@	Bears
2027-02-28	Thunderbirds	@	Bears
2027-03-03	Bears	@	Penguins
2027-03-06	Bears	@	Checkers
2027-03-07	Bears	@	Checkers
2027-03-13	Bears	@	Phantoms
2027-03-14	Rocket	@	Bears
2027-03-17	Bears	@	Hammers
2027-03-19	Bears	@	Senators
2027-03-20	Bears	@	Rocket
2027-03-24	Comets	@	Bears
2027-03-26	Bears	@	Penguins
2027-03-27	Penguins	@	Bears
2027-03-30	Bears	@	Stars
2027-03-31	Bears	@	Stars
2027-04-03	Bears	@	Bruins
2027-04-04	Bears	@	Thunderbirds
2027-04-07	Phantoms	@	Bears
2027-04-09	Bears	@	Penguins
2027-04-10	Phantoms	@	Bears