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
Oliver Okuliar	0	LW	100.00	99	40	50	61	71	70	77	60	49	61	63	68	62	68	63	0	40	73	26	850,000$/1yrs
Lucas Pettersson (R)	0	C/LW	100.00	55	37	99	64	71	69	78	64	60	57	68	64	48	56	56	0	40	72	20	962,700$/3yrs
Jansen Harkins	0	C/LW	100.00	83	39	84	55	73	72	81	52	77	57	56	80	54	74	72	0	40	71	29	1,000,000$/1yrs
Bogdan Trineyev (R)	0	RW	100.00	67	40	85	60	82	69	87	59	48	60	62	67	61	65	64	0	40	71	24	900,000$/1yrs
Tyler Angle	0	LW	100.00	66	40	86	57	71	69	76	58	41	61	56	70	59	68	67	0	40	70	25	850,000$/2yrs
Adam Edstrom (R)	0	C	100.00	78	37	88	57	92	70	78	54	58	56	60	68	57	68	66	0	40	70	25	975,000$/1yrs
Jaxson Nelson	0	C	100.00	54	39	94	63	84	71	91	62	70	53	57	66	48	65	64	0	40	70	26	850,000$/1yrs
Rhett Pitlick (R)	0	LW/RW	100.00	66	40	86	58	65	67	76	58	41	61	57	66	59	66	65	0	40	70	25	775,000$/1yrs
Matyas Melovsky (R)	0	C	100.00	71	40	80	60	75	66	75	57	70	60	59	62	60	61	59	0	40	69	22	972,500$/2yrs
Riley Thompson (R)	0	C	100.00	72	46	75	58	86	62	70	52	63	57	59	63	65	72	72	0	40	69	24	1,025,000$/1yrs
Josh Dunne	0	C	100.00	71	54	60	55	86	70	71	53	77	57	54	70	53	71	67	0	40	68	27	800,000$/1yrs
Kyle McDonald	0	RW	100.00	70	40	81	56	84	65	78	54	45	56	57	65	57	64	62	0	40	68	24	850,000$/2yrs
Corey Schueneman	0	D	100.00	66	40	86	54	77	70	88	59	30	61	55	74	58	77	76	0	40	73	31	875,000$/2yrs
Connor Mackey	2	D	100.00	96	39	50	53	78	68	87	57	30	59	55	71	57	75	70	0	40	72	30	925,000$/2yrs
Wyatt Aamodt	0	D	100.00	72	40	79	54	78	69	88	58	30	59	54	76	57	73	71	0	40	72	28	850,000$/2yrs
Nick Cicek	0	D	100.00	99	40	50	55	79	66	77	55	30	59	56	66	58	68	63	0	40	71	26	825,000$/2yrs
Dennis Cholowski	0	D	100.00	55	33	92	57	83	77	74	50	30	61	57	57	54	72	71	0	40	70	28	875,000$/2yrs
Mikulas Hovorka (R)	0	D	100.00	74	40	77	54	94	67	85	55	30	57	55	70	56	66	64	0	40	70	25	850,000$/2yrs
Scratches
Paul Cotter	0	C/LW/RW	100.00	87	38	84	57	84	75	89	58	61	57	65	60	62	69	67	0	40	71	26	1,000,000$/3yrs
Matt Rempe	0	C/RW	100.00	89	57	61	55	99	69	75	56	58	56	57	60	57	64	60	0	40	68	24	900,000$/2yrs
Joshua Eernisse (R)	0	RW	100.00	62	41	84	56	86	60	70	50	50	54	57	60	64	74	74	0	40	67	24	952,500$/1yrs
Cameron Butler	0	RW	100.00	99	40	50	53	87	62	74	51	47	51	54	64	53	64	59	0	40	66	24	775,000$/1yrs
Ilya Nikolayev (R)	0	C	100.00	61	38	89	49	74	59	71	61	64	47	49	64	33	61	59	0	40	64	25	850,000$/1yrs
Zach Bogosian	6	D	100.00	69	36	83	55	87	80	84	56	30	60	57	73	56	86	84	0	40	74	36	1,300,000$/1yrs
Jacob Moverare	0	D	100.00	62	33	94	55	84	73	75	53	30	59	53	62	53	71	70	0	40	70	28	850,000$/2yrs
Terrell Goldsmith (R)	0	D	100.00	75	50	72	54	90	59	75	48	30	54	52	67	61	67	67	0	40	68	21	936,111$/2yrs
Kurtis MacDermid	56	LWD	100.00	73	74	55	55	94	63	71	51	55	53	50	56	51	78	74	0	40	67	32	1,150,000$/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
Benjamin Kraws	0	100.00	75	94	70	82	66	73	75	75	73	72	74	64	73	0	40	79	26	775,000$/1yrs
Victor Ostman	0	100.00	68	64	66	81	59	71	69	68	71	70	69	67	73	0	40	73	25	850,000$/2yrs
Scratches
Carson Bjarnason	0	100.00	66	61	63	78	56	69	65	66	69	70	67	58	64	0	40	70	21	855,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dominique Ducharme	74	69	68	73	73	68	77	CAN	53	3	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	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS

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

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Adam Edstrom	C	25	975,000$	975,000$	RFA
Benjamin Kraws	G	26	775,000$	775,000$	RFA
Bogdan Trineyev	RW	24	900,000$	900,000$	RFA
Cameron Butler	RW	24	775,000$	775,000$	RFA
Carson Bjarnason	G	21	855,000$	855,000$	855,000$	RFA
Connor Mackey	D	30	925,000$	925,000$	925,000$	UFA
Corey Schueneman	D	31	875,000$	875,000$	875,000$	UFA
Dennis Cholowski	D	28	875,000$	875,000$	875,000$	UFA
Ilya Nikolayev	C	25	850,000$	850,000$	RFA
Jacob Moverare	D	28	850,000$	850,000$	850,000$	UFA
Jansen Harkins	C/LW	29	1,000,000$	1,000,000$	UFA
Jaxson Nelson	C	26	850,000$	850,000$	RFA
Josh Dunne	C	27	800,000$	800,000$	UFA
Joshua Eernisse	RW	24	952,500$	952,500$	RFA
Kurtis MacDermid	LW/D	32	1,150,000$	1,150,000$	UFA
Kyle McDonald	RW	24	850,000$	850,000$	850,000$	RFA
Lucas Pettersson	C/LW	20	962,700$	962,700$	962,700$	962,700$	RFA
Matt Rempe	C/RW	24	900,000$	900,000$	900,000$	RFA
Matyas Melovsky	C	22	972,500$	972,500$	972,500$	RFA
Mikulas Hovorka	D	25	850,000$	850,000$	850,000$	RFA
Nick Cicek	D	26	825,000$	825,000$	825,000$	UFA
Oliver Okuliar	LW	26	850,000$	850,000$	RFA
Paul Cotter	C/LW/RW	26	1,000,000$	1,000,000$	1,000,000$	1,000,000$	UFA
Rhett Pitlick	LW/RW	25	775,000$	775,000$	RFA
Riley Thompson	C	24	1,025,000$	1,025,000$	RFA
Terrell Goldsmith	D	21	936,111$	936,111$	936,111$	RFA
Tyler Angle	LW	25	850,000$	850,000$	850,000$	RFA
Victor Ostman	G	25	850,000$	850,000$	850,000$	RFA
Wyatt Aamodt	D	28	850,000$	850,000$	850,000$	UFA
Zach Bogosian	D	36	1,300,000$	1,300,000$	UFA

Lines

Forward Lines
# - Lucas Pettersson	# - Oliver Okuliar	# - Bogdan Trineyev
# - Rhett Pitlick	# - Adam Edstrom	# - Tyler Angle
# - Riley Thompson	# - Jansen Harkins	# - Jaxson Nelson
# - Adam Edstrom	# - Jansen Harkins	# - Jaxson Nelson

Defensive Pairings
# - Corey Schueneman	# - Nick Cicek
# - Wyatt Aamodt	# - Connor Mackey
# - Dennis Cholowski

1st Power Play Unit
# - Lucas Pettersson		# - Oliver Okuliar		# - Jaxson Nelson
# - Corey Schueneman			# - Nick Cicek

2nd Power Play Unit
# - Bogdan Trineyev		# - Adam Edstrom		# - Jansen Harkins
# - Connor Mackey			# - Wyatt Aamodt

Goalies
# - Benjamin Kraws		# - Victor Ostman

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