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
Drew O'Connor	0	LW/RW	98.00	66	33	88	63	81	81	90	62	60	63	65	74	63	70	69	0	90	75	26	925,000$/1yrs
Elmer Soderblom (R)	0	C/LW/RW	99.00	76	35	91	65	99	78	69	60	58	67	65	56	63	64	63	0	91	75	23	878,333$/1yrs
Jimmy Vesey	16	LW/RW	98.00	68	37	94	63	82	75	84	60	58	60	64	65	62	79	78	0	91	74	31	925,000$/1yrs
Thomas Bordeleau	0	C/LW	98.00	60	32	78	67	67	80	69	65	64	62	69	62	67	64	61	0	83	74	23	950,000$/2yrs
Colin Blackwell	0	C/RW	99.00	71	32	91	58	71	77	82	60	75	60	63	72	61	79	78	0	91	73	32	850,000$/2yrs
Scott Sabourin	0	RW	100.00	99	49	50	53	84	68	84	68	45	53	60	72	56	77	72	0	91	72	32	775,000$/1yrs
Pat Maroon	0	LW/RW	100.00	74	66	55	56	92	76	83	59	60	64	59	54	59	87	83	0	49	72	37	1,000,000$/1yrs
Chris Tierney	71	C/LW	100.00	59	37	86	57	76	70	73	58	78	61	59	60	59	76	75	0	91	70	30	1,250,000$/1yrs
Akil Thomas (R)	0	C	100.00	75	40	90	56	68	72	70	60	61	58	63	57	61	67	66	0	91	70	24	950,000$/2yrs
Max Sasson	0	C	100.00	63	32	99	58	72	73	70	57	73	60	61	56	59	66	65	0	23	70	24	870,000$/1yrs
Justin Dowling	36	C/LW/RW	100.00	68	32	95	55	68	73	73	52	77	58	57	57	55	83	82	0	91	69	34	775,000$/1yrs
Jakub Rychlovsky	0	LW	100.00	61	39	89	53	76	63	66	62	41	53	52	66	53	64	63	0	91	67	23	870,000$/2yrs
Ben Hutton	0	D	98.00	61	38	88	55	81	82	73	57	30	63	56	61	56	79	77	0	91	72	32	950,000$/1yrs
Haydn Fleury	0	D	99.00	71	33	85	55	85	82	75	55	30	62	53	65	54	73	71	0	91	72	28	775,000$/1yrs
Uvis Balinskis	0	D	99.00	70	35	88	55	76	80	81	53	30	61	57	58	55	73	71	0	90	71	28	850,000$/2yrs
Spencer Stastney	0	D	98.00	56	32	93	55	72	83	72	54	30	59	57	66	55	67	66	0	67	70	25	850,000$/2yrs
Patrik Koch	0	D	100.00	87	42	50	50	72	65	65	48	30	55	50	71	53	73	68	0	84	68	28	775,000$/1yrs
Cole Krygier	0	D	100.00	72	40	71	49	79	63	65	48	30	54	51	67	52	66	63	0	60	66	26	837,500$/1yrs
Scratches
Antonio Stranges (R)	0	C/LW	100.00	62	38	87	58	64	66	70	61	45	58	58	64	58	63	61	0	24	69	23	846,667$/1yrs
Nikita Chibrikov (R)	0	LW/RW	100.00	68	39	78	59	74	66	69	60	43	59	57	63	58	61	59	0	63	69	22	875,833$/2yrs
Ty Glover	0	C	100.00	65	40	82	53	81	63	66	63	38	53	53	67	53	66	64	0	24	68	24	859,167$/1yrs
Nate Danielson (R)	0	C	100.00	64	39	84	58	75	65	67	59	59	59	55	62	57	59	58	0	44	68	20
Dylan Roobroeck (R)	0	C/LW/RW	100.00	67	41	79	58	87	64	69	59	46	54	58	62	56	59	57	0	44	68	20
Jaxsen Wiebe	0	C	100.00	71	40	73	53	81	62	66	62	40	51	54	65	52	63	60	0	24	67	22	852,500$/2yrs
Waltteri Merela	0	RW	100.00	76	33	92	55	84	72	68	53	30	50	57	59	55	69	68	0	24	67	26	775,000$/1yrs
Stephen Halliday (R)	0	C	100.00	59	39	92	52	86	60	67	60	61	56	45	63	51	59	58	0	24	65	22	775,000$/1yrs
Antti Saarela (R)	0	C	100.00	63	38	86	50	71	60	70	61	69	46	52	64	49	61	59	0	24	64	23	896,250$/1yrs
Nicolas Beaudin	92	D	100.00	72	39	71	54	66	63	75	50	30	60	47	66	53	64	61	0	24	68	25	850,000$/1yrs
Donovan Sebrango (R)	0	D	100.00	89	44	50	50	86	63	66	49	30	55	53	65	54	63	58	0	23	67	23	828,333$/1yrs
David Spacek (R)	0	D	100.00	63	39	86	51	74	63	66	49	30	56	52	64	54	61	59	0	24	66	22	862,500$/2yrs
Leo Loof (R)	0	D	100.00	70	40	74	49	79	62	65	48	30	55	50	65	52	63	60	0	24	66	23	867,500$/2yrs
Ole Bjorgvik-Holm (R)	0	D	100.00	62	39	91	56	79	62	60	53	30	50	42	61	54	59	60	0	81	65	22	825,000$/1yrs
John Parker-Jones	0	RWD	100.00	86	44	50	44	96	59	69	42	30	46	48	65	47	62	57	0	24	62	25	775,000$/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
Arvid Soderblom	0	97.00	83	84	76	75	78	70	81	86	79	85	81	68	72	0	91	83	25	962,500$/1yrs
Jakub Dobes	0	100.00	72	66	68	84	79	66	79	84	78	86	79	65	69	0	88	80	23	925,000$/1yrs
Scratches
Spencer Martin	30	100.00	63	70	70	79	70	69	73	81	75	80	73	75	78	0	24	78	29	950,000$/2yrs
Mitchell Gibson	0	100.00	73	76	70	70	78	74	74	73	74	74	74	64	66	0	24	77	25	775,000$/1yrs
Matt Villalta	0	100.00	60	61	65	70	57	60	60	60	60	58	60	67	70	0	24	66	25	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	55	4	500,000$

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	GT	FO%	FOT	HT	P/20	PSS
1	Thomas Bordeleau	Gulls (ANA)	C/LW	1	1	1	2	1	0	0	1	9	1	3	11.11%	1	26.70	0	1	1	5	0	3	0	53.19%	47	0	1.50	0
2	Ben Hutton	Gulls (ANA)	D	1	1	0	1	0	0	0	1	2	0	1	50.00%	3	30.13	1	0	1	5	0	3	0	0.00%	0	0	0.66	0
3	Jimmy Vesey	Gulls (ANA)	LW/RW	1	0	1	1	1	0	0	2	6	0	2	0.00%	1	26.70	0	0	0	5	0	3	0	20.00%	5	0	0.75	0
4	Drew O'Connor	Gulls (ANA)	LW/RW	1	0	1	1	1	0	0	1	5	2	7	0.00%	1	25.25	0	0	0	5	0	2	0	75.00%	4	0	0.79	0
5	Chris Tierney	Gulls (ANA)	C/LW	1	0	0	0	-1	0	0	0	1	1	0	0.00%	0	15.92	0	0	0	0	0	0	0	0.00%	0	0	0.00	0
6	Haydn Fleury	Gulls (ANA)	D	1	0	0	0	-1	0	0	3	3	2	3	0.00%	2	24.33	0	0	0	4	0	2	0	0.00%	0	0	0.00	0
7	Justin Dowling	Gulls (ANA)	C/LW/RW	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	6.92	0	0	0	0	0	0	0	0.00%	0	0	0.00	0
8	Colin Blackwell	Gulls (ANA)	C/RW	1	0	0	0	-1	2	0	2	4	2	3	0.00%	0	21.73	0	0	0	4	0	1	0	56.00%	25	0	0.00	0
9	Scott Sabourin	Gulls (ANA)	RW	1	0	0	0	-1	0	0	4	1	0	1	0.00%	1	10.53	0	0	0	0	0	0	0	0.00%	1	0	0.00	0
10	Pat Maroon	Gulls (ANA)	LW/RW	1	0	0	0	-1	2	0	1	1	0	1	0.00%	0	10.17	0	0	0	0	0	0	0	0.00%	0	0	0.00	0
11	Akil Thomas	Gulls (ANA)	C	1	0	0	0	-1	0	0	0	1	0	2	0.00%	0	10.50	0	0	0	0	0	0	0	33.33%	12	0	0.00	0
12	Spencer Stastney	Gulls (ANA)	D	1	0	0	0	0	0	0	0	1	1	0	0.00%	2	25.60	0	0	0	5	0	3	0	0.00%	0	0	0.00	0
13	Elmer Soderblom	Gulls (ANA)	C/LW/RW	1	0	0	0	-1	0	0	3	1	1	2	0.00%	0	20.05	0	0	0	4	0	0	0	100.00%	1	0	0.00	0
14	Max Sasson	Gulls (ANA)	C	1	0	0	0	0	0	0	0	0	1	0	0.00%	0	6.92	0	0	0	0	0	0	0	66.67%	9	0	0.00	0
15	Cole Krygier	Gulls (ANA)	D	1	0	0	0	0	0	0	1	0	0	1	0.00%	1	16.15	0	0	0	0	0	0	0	0.00%	0	0	0.00	0
16	Uvis Balinskis	Gulls (ANA)	D	1	0	0	0	-1	2	0	2	1	2	0	0.00%	0	23.07	0	0	0	4	0	1	0	0.00%	0	0	0.00	0
17	Patrik Koch	Gulls (ANA)	D	1	0	0	0	0	0	0	4	2	1	1	0.00%	0	12.87	0	0	0	0	0	1	0	0.00%	0	0	0.00	0
18	Jakub Rychlovsky	Gulls (ANA)	LW	1	0	0	0	0	0	0	1	2	0	2	0.00%	0	10.97	0	0	0	4	0	0	0	0.00%	0	0	0.00	0
Team Total or Average			18	2	3	5	-5	6	0	26	40	14	29	5.00%	12	18.03	1	1	2	48	0	23	0	51.92%	104	0	0.31	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	Arvid Soderblom	Gulls (ANA)	1	0	0	1	0.914	2.73	66	0	0	3	35	0	0	0	0.000	0	1	0	0	0	0
Team Total or Average		1	0	0	1	0.914	2.73	66	0	0	3	35	0	0	0	0.000	0	1	0	0	0	0

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23
Akil Thomas	C	24	950,000$	950,000$	950,000$	RFA
Antonio Stranges	C/LW	23	846,667$	846,667$	RFA
Antti Saarela	C	23	896,250$	896,250$	RFA
Arvid Soderblom	G	25	962,500$	962,500$	RFA
Ben Hutton	D	32	950,000$	950,000$	UFA
Chris Tierney	C/LW	30	1,250,000$	1,250,000$	UFA
Cole Krygier	D	26	837,500$	837,500$	RFA
Colin Blackwell	C/RW	32	850,000$	850,000$	850,000$	UFA
David Spacek	D	22	862,500$	862,500$	862,500$	RFA
Donovan Sebrango	D	23	828,333$	828,333$	RFA
Drew O'Connor	LW/RW	26	925,000$	925,000$	RFA
Dylan Roobroeck	C/LW/RW	20	0$	RFA
Elmer Soderblom	C/LW/RW	23	878,333$	878,333$	RFA
Haydn Fleury	D	28	775,000$	775,000$	UFA
Jakub Dobes	G	23	925,000$	925,000$	RFA
Jakub Rychlovsky	LW	23	870,000$	870,000$	870,000$	RFA
Jaxsen Wiebe	C	22	852,500$	852,500$	852,500$	RFA
Jimmy Vesey	LW/RW	31	925,000$	925,000$	UFA
John Parker-Jones	RW/D	25	775,000$	775,000$	RFA
Justin Dowling	C/LW/RW	34	775,000$	775,000$	UFA
Leo Loof	D	23	867,500$	867,500$	867,500$	RFA
Matt Villalta	G	25	800,000$	800,000$	RFA
Max Sasson	C	24	870,000$	870,000$	RFA
Mitchell Gibson	G	25	775,000$	775,000$	RFA
Nate Danielson	C	20	0$	RFA
Nicolas Beaudin	D	25	850,000$	850,000$	RFA
Nikita Chibrikov	LW/RW	22	875,833$	875,833$	875,833$	RFA
Ole Bjorgvik-Holm	D	22	825,000$	825,000$	RFA
Pat Maroon	LW/RW	37	1,000,000$	1,000,000$	UFA
Patrik Koch	D	28	775,000$	775,000$	UFA
Scott Sabourin	RW	32	775,000$	775,000$	UFA
Spencer Martin	G	29	950,000$	950,000$	950,000$	UFA
Spencer Stastney	D	25	850,000$	850,000$	850,000$	RFA
Stephen Halliday	C	22	775,000$	775,000$	RFA
Thomas Bordeleau	C/LW	23	950,000$	950,000$	950,000$	RFA
Ty Glover	C	24	859,167$	859,167$	RFA
Uvis Balinskis	D	28	850,000$	850,000$	850,000$	UFA
Waltteri Merela	RW	26	775,000$	775,000$	RFA

Lines

Forward Lines
# - Drew O'Connor	# - Thomas Bordeleau	# - Jimmy Vesey
# - Chris Tierney	# - Colin Blackwell	# - Elmer Soderblom
# - Pat Maroon	# - Akil Thomas	# - Scott Sabourin
# - Jakub Rychlovsky	# - Max Sasson	# - Justin Dowling

Defensive Pairings
# - Ben Hutton	# - Spencer Stastney
# - Uvis Balinskis	# - Haydn Fleury
# - Cole Krygier	# - Patrik Koch

1st Power Play Unit
# - Drew O'Connor		# - Thomas Bordeleau		# - Jimmy Vesey
# - Ben Hutton			# - Spencer Stastney

2nd Power Play Unit
# - Jakub Rychlovsky		# - Colin Blackwell		# - Elmer Soderblom
# - Uvis Balinskis			# - Haydn Fleury

Goalies
# - Arvid Soderblom		# - Jakub Dobes

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	L	GF	GA	Diff	G	A	TP	GP3	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	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	Firebirds	1	1	2	3	-1	2	3	5	2	40	15	7	17	1	35	12	6	26	5	1	20.00%	3	1	66.67%	18	44	40.91%	24	41	58.54%	12	19	63.16%	28	18	23	8	14	7	33.3%	5.0%	91.4%	96.4	DULL
	_Vs Division	1	0	2	3	-1	2	3	5	2	40	15	7	17	1	35	12	6	26	5	1	20.00%	3	1	66.67%	18	44	40.91%	24	41	58.54%	12	19	63.16%	28	18	23	8	14	7	33.3%	5.0%	91.4%	96.4	DULL
	_Vs Conference	1	1	2	3	-1	2	3	5	2	40	15	7	17	1	35	12	6	26	5	1	20.00%	3	1	66.67%	18	44	40.91%	24	41	58.54%	12	19	63.16%	28	18	23	8	14	7	33.3%	5.0%	91.4%	96.4	DULL
	_Since Last GM Reset	1	1	2	3	-1	2	3	5	2	40	15	7	17	1	35	12	6	26	5	1	20.00%	3	1	66.67%	18	44	40.91%	24	41	58.54%	12	19	63.16%	28	18	23	8	14	7	33.3%	5.0%	91.4%	96.4	DULL
	Total	1	1	2	3	-1	2	3	5	2	40	15	7	17	1	35	12	6	26	5	1	20.00%	3	1	66.67%	18	44	40.91%	24	41	58.54%	12	19	63.16%	28	18	23	8	14	7	33.3%	5.0%	91.4%	96.4	DULL

	Puck Time
Offensive Zone	28
Neutral Zone	14
Defensive Zone	23

	Puck Time
Offensive Zone Start	44
Neutral Zone Start	19
Defensive Zone Start	41

	Puck Time
With Puck	35
Without Puck	31

	Faceoffs
Faceoffs Won	54
Faceoffs Lost	50

	Team Average Shots after	League Average Shots after
1st Period	15.0	9.57
2nd Period	22.0	20.31
3rd Period	39.0	30.68
Overtime	40.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.0	0.64
2nd Period	0.0	1.65
3rd Period	2.0	2.67
Overtime	2.0	2.83


Even Strenght Goal	1
PP Goal	1
PK Goal	0
Empty Net Goal	0

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


PP Attempt	5
PP Goal	1
PK Attempt	3
PK Goal Against	1

	Home
Shots For	40.0
Shots Against	35.0
Goals For	2.0
Goals Against	3.0
Hits	26.0
Shots Blocked	12.0
Pim	6.0

Schedule

Date	Matchup			Result	Detail
2025-05-02	Firebirds	@	Gulls	Firebirds3,Gulls2 (OT)	RECAP
2025-05-04	Firebirds	@	Gulls
2025-05-06	Gulls	@	Firebirds
2025-05-08	Gulls	@	Firebirds
2025-05-10	Firebirds	@	Gulls
Trade Deadline --- Trades can�t be done after this day is simulated!
2025-05-12	Gulls	@	Firebirds
2025-05-14	Firebirds	@	Gulls

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,050,708$	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	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
35	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,050,708$	3,050,708$	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$	12	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

Nicolas Beaudin is suspended for 13 more games.

Game Center

Firebirds1-0-0, 2pts

00Final

Gulls0-1-0, 0pts

Firebirds1-0-0, 2pts

32Final

Gulls0-1-0, 0pts

Firebirds1-0-0, 2pts

Sat, May 03

Gulls0-1-0, 0pts

Firebirds1-0-0, 2pts

Mon, May 05

Gulls0-1-0, 0pts

Wed, May 07

Firebirds1-0-0, 2pts

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

GOALS Ben Hutton Gulls	1 GOALS
POINTS Thomas Bordeleau Gulls	2 POINTS
WINS Arvid Soderblom Gulls	0 WINS
Expanded Player Leaderboard

Team Stats

Goals For 2 2.00 GFG	Goals Against 3 3.00 GAA
Power Play Percentage 20.0% 1 GF	Penalty Kill Percentage 66.7% 1 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain