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
Ryan Greene (R)	0	C/RW	100.00	63	32	93	65	70	82	78	61	78	64	64	70	62	62	62	0	81	74	22	950,000$/1yrs
Phillip Di Giuseppe	0	LW/RW	100.00	86	33	92	59	75	74	68	60	57	66	56	63	58	80	79	0	82	73	32	800,000$/1yrs
Colin Blackwell	0	C/LW/RW	100.00	74	32	85	55	71	74	86	57	75	62	59	73	58	81	79	0	82	72	33
Zach Aston-Reese	0	LW/RW	100.00	83	35	87	57	80	76	81	56	58	60	58	70	57	78	77	0	82	72	31	800,000$/1yrs
Stephen Halliday (R)	0	C/LW	100.00	68	34	97	60	85	69	70	58	61	65	63	52	61	64	64	0	60	72	23
Ilya Protas (R)	0	C/LW	100.00	63	40	86	66	93	68	71	62	57	62	65	57	64	52	51	0	78	72	19	856,667$/2yrs
Elmer Soderblom	0	C/LW/RW	100.00	76	38	88	60	99	74	78	56	58	61	63	56	60	66	65	0	83	71	24	1,000,000$/1yrs
Max Sasson	0	C/LW/RW	100.00	61	32	90	60	72	74	80	58	73	58	66	57	62	67	66	0	82	71	25	800,000$/2yrs
Antonio Stranges (R)	0	C/LW	100.00	63	38	86	61	69	67	85	59	64	61	59	62	60	59	58	0	82	70	24	900,000$/1yrs
Justin Dowling	36	C/LW/RW	100.00	68	32	95	55	68	72	73	51	77	58	55	57	53	84	84	0	82	68	35	775,000$/1yrs
Nikita Chibrikov (R)	0	LW/RW	100.00	61	37	90	59	66	64	76	58	46	58	56	61	57	57	56	0	82	68	23
Akil Thomas (R)	0	C/LW/RW	100.00	76	42	90	55	68	71	69	55	72	57	55	56	55	68	67	0	82	67	25
Noah Juulsen	0	D	100.00	83	39	85	55	80	79	79	51	30	58	52	68	52	73	72	0	82	71	29	1,100,000$/2yrs
Donovan Sebrango (R)	0	D	100.00	77	55	50	57	77	79	72	54	30	63	50	58	52	65	60	0	82	70	24	900,000$/2yrs
Spencer Stastney	0	D	100.00	57	32	90	55	72	81	79	51	30	59	54	63	53	68	67	0	82	69	26
Josh Brown	0	D	100.00	91	44	50	49	90	64	80	48	30	54	50	71	52	73	68	0	82	68	32	1,000,000$/1yrs
David Spacek (R)	0	D	100.00	63	38	86	55	69	64	90	52	30	61	52	62	56	57	56	0	59	68	23
Leo Loof (R)	0	D	100.00	73	40	69	51	72	62	86	49	30	56	51	63	53	59	56	0	67	66	24
Scratches
Ty Glover	0	C	100.00	64	39	85	55	81	63	74	61	69	55	54	65	54	63	61	0	20	68	25	800,000$/1yrs
Dylan Roobroeck (R)	0	C/LW/RW	100.00	70	41	74	59	87	64	89	57	63	55	59	60	57	56	53	0	20	68	21	850,000$/1yrs
Juraj Pekarcik (R)	0	C/LW/RW	100.00	58	39	94	60	81	64	71	56	43	59	57	59	58	54	53	0	20	68	20	838,333$/2yrs
Jaxsen Wiebe	0	C/RW	100.00	71	40	73	53	81	62	66	62	40	51	54	65	52	63	60	0	20	67	24
Jakub Rychlovsky	0	LW/RW	100.00	61	39	89	55	76	63	81	60	40	55	53	63	54	61	60	0	20	67	24
Nikita Prishchepov	0	C/LW	100.00	73	40	69	59	77	64	80	57	65	58	55	60	57	56	53	0	23	67	22	806,667$/1yrs
Nicolas Beaudin	92	D	100.00	72	39	71	54	66	63	75	50	30	60	47	66	53	64	61	0	20	68	26
Cole Krygier	0	D	100.00	91	43	50	48	78	63	69	48	30	54	52	65	53	63	58	0	20	66	28	800,000$/1yrs
Ty Murchison (R)	0	D	100.00	89	43	50	49	77	62	72	48	30	54	52	62	53	57	52	0	20	65	23	860,000$/1yrs
Ole Bjorgvik-Holm (R)	0	D	100.00	74	41	68	47	79	61	79	47	30	52	52	63	52	59	56	0	20	64	24	800,000$/1yrs
John Parker-Jones	0	RWD	100.00	86	44	50	44	96	59	69	42	30	46	48	65	47	62	57	0	20	62	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`)
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
Connor Ingram	0	100.00	67	80	74	80	79	74	80	88	81	87	80	74	78	0	80	83	29	2,000,000$/2yrs
Mitchell Gibson	0	100.00	73	76	70	70	78	74	74	73	74	74	74	64	66	0	81	77	26	800,000$/1yrs
Scratches
Spencer Martin	30	100.00	67	69	68	78	69	77	70	67	77	74	71	72	72	0	23	76	30
Matt Villalta	0	100.00	70	78	68	78	68	75	71	70	75	74	72	65	66	0	23	76	26	850,000$/1yrs
Matt Tomkins	90	100.00	66	72	67	79	66	75	70	66	75	72	70	74	74	0	23	75	31	800,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Joe Sacco	88	74	68	84	71	78	70	USA	57	2	500,000$

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
Akil Thomas	C/LW/RW	25	0$	RFA
Antonio Stranges	C/LW	24	900,000$	900,000$	RFA
Cole Krygier	D	28	800,000$	800,000$	UFA
Colin Blackwell	C/LW/RW	33	0$	UFA
Connor Ingram	G	29	2,000,000$	2,000,000$	2,000,000$	UFA
David Spacek	D	23	0$	RFA
Donovan Sebrango	D	24	900,000$	900,000$	900,000$	RFA
Dylan Roobroeck	C/LW/RW	21	850,000$	850,000$	RFA
Elmer Soderblom	C/LW/RW	24	1,000,000$	1,000,000$	RFA
Ilya Protas	C/LW	19	856,667$	856,667$	856,667$	RFA
Jakub Rychlovsky	LW/RW	24	0$	RFA
Jaxsen Wiebe	C/RW	24	0$	RFA
John Parker-Jones	RW/D	26	0$	RFA
Josh Brown	D	32	1,000,000$	1,000,000$	UFA
Juraj Pekarcik	C/LW/RW	20	838,333$	838,333$	838,333$	RFA
Justin Dowling	C/LW/RW	35	775,000$	775,000$	UFA
Leo Loof	D	24	0$	RFA
Matt Tomkins	G	31	800,000$	800,000$	UFA
Matt Villalta	G	26	850,000$	850,000$	RFA
Max Sasson	C/LW/RW	25	800,000$	800,000$	800,000$	RFA
Mitchell Gibson	G	26	800,000$	800,000$	RFA
Nicolas Beaudin	D	26	0$	RFA
Nikita Chibrikov	LW/RW	23	0$	RFA
Nikita Prishchepov	C/LW	22	806,667$	806,667$	RFA
Noah Juulsen	D	29	1,100,000$	1,100,000$	1,100,000$	UFA
Ole Bjorgvik-Holm	D	24	800,000$	800,000$	RFA
Phillip Di Giuseppe	LW/RW	32	800,000$	800,000$	UFA
Ryan Greene	C/RW	22	950,000$	950,000$	RFA
Spencer Martin	G	30	0$	UFA
Spencer Stastney	D	26	0$	RFA
Stephen Halliday	C/LW	23	0$	RFA
Ty Glover	C	25	800,000$	800,000$	RFA
Ty Murchison	D	23	860,000$	860,000$	RFA
Zach Aston-Reese	LW/RW	31	800,000$	800,000$	UFA

Lines

Forward Lines
# - Phillip Di Giuseppe	# - Ryan Greene	# - Colin Blackwell
# - Stephen Halliday	# - Max Sasson	# - Zach Aston-Reese
# - Ilya Protas	# - Justin Dowling	# - Elmer Soderblom
# - Antonio Stranges	# - Akil Thomas	# - Nikita Chibrikov

Defensive Pairings
# - Spencer Stastney	# - Josh Brown
# - David Spacek	# - Noah Juulsen
# - Donovan Sebrango	# - Leo Loof

1st Power Play Unit
# - Ilya Protas		# - Ryan Greene		# - Phillip Di Giuseppe
# - Spencer Stastney			# - David Spacek

2nd Power Play Unit
# - Stephen Halliday		# - Max Sasson		# - Zach Aston-Reese
# - Donovan Sebrango			# - Noah Juulsen

Goalies
# - Connor Ingram		# - Mitchell Gibson

Team Stats

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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			Result	Detail

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,008,667$	0$	0$	75,000,000$

Arena	About us
	Name
	City	San Diego
	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
2,008,667$	2,008,667$	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

No Injury or Suspension.

Game Center

TRANSACTIONS

Team Info


	Head Coach	Joe Sacco
	Division	Pacific
	City	San Diego
	Stadium Capacity	3,000

Gulls Affiliation


	General Manager	Sou MMsaiphon
	Head Coach	Jared Bednar
	Stadium	Honda Center
	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