Game Center

San Diego Gulls

2-3-0, 4pts

3

5

Ontario Reign

2-2-2, 6pts

2026-10-11

Box Report

5 Latest Games
Date	Opponent	H/A	Result
2026-10-11	Ontario Reign	A	3 - 5--
2026-10-09	Bakersfield Condors	A	2 - 3--
2026-10-08	Texas Stars	A	4 - 2--
2026-10-04	Henderson Silver Knights	H	1 - 5--
2026-10-01	San Jose Barracuda	H	3 - 1--

5 Upcoming Games
Date	Opponent	H/A	Status
2026-10-14	Rockford IceHogs	H
2026-10-15	Coachella Valley Firebirds	A
2026-10-18	Calgary Wranglers	H
2026-10-21	Abbotsford Canucks	H
2026-10-24	Toronto Marlies	H

Team Stats

Pacific Standings

Team	GP	W	L	OTL	GF	GA	GD	Pts	Streak	Last 10
SJS	6	5	1	0	20	11	+9	10	W5	5-1-0
VAN	6	5	1	0	21	12	+9	10	W5	5-1-0
EDM	5	4	1	0	13	8	+5	8	W2	4-1-0
LAK	6	2	2	2	20	23	-3	6	L1	2-2-2
CAL	6	2	2	2	21	20	+1	6	L1	2-2-2
ANA	5	2	3	0	13	16	-3	4	L2	2-3-0
COA	5	2	3	0	14	15	-1	4	L1	2-3-0
VEG	5	1	4	0	14	23	-9	2	L3	1-4-0

Player Stats


Jack Devine	LWRW	5	4	1	5	-2	4	5	22	18.18%	0	15.97
Matteo Pietroniro	D	5	1	4	5	1	4	5	11	9.09%	4	20.16
Gustav Olofsson	D	5	0	5	5	-1	12	9	1	0.00%	8	21.61
Justin Bailey	RW	5	2	2	4	0	0	7	12	16.67%	0	15.49
Riley Tufte	LWRW	3	1	2	3	-1	0	7	9	11.11%	0	17.57
Nicolas Aube-Kubel	RW	5	2	0	2	0	8	0	8	25.00%	0	10.91
Cole O'Hara	LWRW	2	1	1	2	1	2	2	5	20.00%	0	14.96
Logan Brown	C	5	1	1	2	-1	2	2	9	11.11%	1	16.62
Luke Rowe	D	5	0	2	2	-2	4	10	2	0.00%	1	15.97
Cedric Pare	C	5	0	2	2	0	6	2	5	0.00%	0	13.82
Eduards Tralmaks	LW	4	1	0	1	-1	4	2	8	12.50%	0	18.48
Mason Shaw	C	5	0	1	1	-2	4	2	9	0.00%	0	17.44
Justin Holl	D	5	0	1	1	-3	2	3	1	0.00%	4	19.45
Eetu Liukas	LWRW	5	0	1	1	0	0	3	7	0.00%	0	12.60
Matthew Highmore	C	5	0	1	1	1	0	2	4	0.00%	0	11.81
Julien Gauthier	RW	5	0	1	1	-1	0	3	7	0.00%	0	12.46
Tobie Bisson	D	5	0	1	1	0	4	4	1	0.00%	3	16.67
Valtteri Puustinen	RW	1	0	0	0	0	0	3	1	0.00%	0	13.33
Jack Millar	D	5	0	0	0	0	4	6	5	0.00%	5	18.52
Egor Afanasyev	LWRW	5	0	0	0	-3	4	9	9	0.00%	0	15.31

Goalies


Jakub Skarek	5	2	3	0	0.868	3.39	283	0	0	16	121	0	0	0	0.000	0
Dustin Tokarski	1	0	0	0	1.000	0.00	17	2	0	0	7	0	0	0	0.000	0

Team Stats

Goals For

2.60 GPG

Rank #27 / 32

Shots For

27.20 Avg

Rank #12 / 32

Power Play Percentage

22.7%

Rank #12 / 32

Offensive Zone Start

41.6%

Rank #9 / 32

Puck Time Control In Offensif Zone / GP

15.82 min

Rank #14 / 32

Goals Against

3.20 GAA

Rank #18 / 32

Shots Against

25.60 Avg

Rank #11 / 32

Penalty Kill Percentage

84.4%

Rank #9 / 32

Defensive Zone Start

38.8%

Rank #12 / 32

Puck Time In Offensif Zone / Puck Time In Defensif Zone

1.00

Rank #15 / 32

Team Info

General Manager	Tommy Tran
Coach	Ben Sexton
Division	Pacific
Conference	Western Conference
Captain
Assistant #1
Assistant #2

Arena Info

Name
Capacity	7,500
Attendance	7,113
Season Tickets	750

Roster Info

Pro Team	26
Farm Team	19
Contract Limit	45 / 60
Prospects	40

Salary Cap

Estimated Season Salary Cap	0$
Available Salary Cap	104,000,000$
Special Salary Cap Value	0$
Players In Salary Cap	0

Finance

Year to Date Revenue	604,955$
Year To Date Expenses	302,152$
Estimated Season Revenue	10,284,235$
Estimated Season Expenses	3,449,880$
Current Bank Account	0$
Projected Bank Account	0$

Team History

This Season	2-3-0 (4 PTS)
History	155-169-41
Playoff Appearances	1
Playoff Record (W-L)	6 - 5
Stanley Cup	0

Trade Block

Player	POS	OV	Age	Contract	Salary
-

Rivalry

-

Show or Hide Columns

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	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Riley Tufte	27		X	X		100.00	74	59	81	64	65	50	86	65	55	61	67	69	59	54	50	0	56	61	0	28	1	1,075,000$
2	Justin Bailey	53			X		100.00	68	56	87	61	63	50	90	63	45	57	64	61	57	58	52	0	50	58	0	31	1	1,075,000$
3	Eduards Tralmaks	78		X			100.00	63	35	93	62	62	50	86	65	45	58	64	68	58	56	51	0	53	58	0	29	1	1,075,000$
4	Julien Gauthier	83			X		100.00	70	38	91	61	65	50	67	65	45	56	61	62	56	54	50	0	50	58	0	28	1	1,075,000$
5	Nicolas Aube-Kubel	96			X		100.00	70	55	83	61	58	50	85	62	45	60	60	56	54	56	51	0	50	57	0	30	1	1,075,000$
6	Egor Afanasyev	23		X	X		100.00	71	56	83	62	62	50	86	61	55	62	62	58	55	48	47	0	50	57	0	25	1	1,075,000$
7	Jack Devine	25		X	X		100.00	69	55	83	62	59	50	86	63	55	61	62	63	56	44	44	0	50	57	0	22	2	972,500$
8	Mason Shaw	81	X				100.00	65	53	83	62	52	50	90	62	75	62	61	57	55	52	49	0	50	56	0	27	1	1,075,000$
9	Eetu Liukas	16		X	X		100.00	68	37	89	58	64	50	66	61	55	58	56	62	52	45	45	0	50	56	0	23	1	1,075,000$
10	Matthew Highmore	38	X				100.00	61	34	91	61	57	50	89	63	75	60	59	56	54	58	52	0	50	56	0	30	1	1,075,000$
11	Logan Brown	14	X				100.00	68	38	93	58	67	50	70	58	75	63	52	64	49	54	50	0	50	56	0	28	1	1,075,000$
12	Cedric Pare	19	X				100.00	72	57	85	57	63	50	85	58	75	58	56	57	51	52	49	0	50	55	0	27	1	1,075,000$
13	Gustav Olofsson	5				X	100.00	66	55	87	64	61	50	78	60	25	61	52	77	50	60	53	0	50	59	0	31	1	1,075,000$
14	Matteo Pietroniro	36				X	100.00	71	59	79	61	59	50	87	60	25	56	52	75	50	52	49	0	50	58	0	27	1	1,075,000$
15	Justin Holl	3				X	100.00	63	35	93	58	62	50	75	55	25	55	49	76	46	66	56	0	50	57	0	34	1	1,075,000$
16	Luke Rowe	45				X	100.00	77	63	79	55	62	50	85	52	25	52	48	73	44	52	49	0	50	56	0	27	1	1,075,000$
17	Jack Millar	57				X	100.00	62	34	91	56	60	50	74	53	25	52	49	74	45	48	47	0	50	55	0	25	1	1,075,000$
18	Tobie Bisson	41				X	100.00	63	35	93	56	60	50	78	53	25	52	50	73	46	56	51	0	50	55	0	29	1	1,075,000$
Scratches
1	Valtteri Puustinen	44			X		100.00	62	35	93	63	56	50	84	65	45	63	60	59	56	50	48	0	45	57	0	27	1	1,075,000$
2	Anthony Richard	90	X				100.00	62	53	87	62	53	50	87	63	75	62	62	48	56	56	51	0	45	55	0	29	1	1,075,000$
3	Cole O'Hara	55		X	X		100.00	59	34	95	62	57	50	88	63	55	61	62	54	56	45	45	0	48	55	0	24	1	935,000$
4	Nico Myatovic	33	X				100.00	59	33	91	56	57	50	90	55	75	56	56	58	50	43	43	0	45	52	0	21	1	896,667$
5	Brandon Scanlin	79				X	100.00	77	60	81	56	66	50	79	54	25	51	50	70	46	50	48	0	45	56	0	27	1	1,075,000$

	TEAM AVERAGE						100.00	67	46	87	60	60	50	82	60	49	58	57	64	52	53	49	0	49	57

Show or Hide Columns

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	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Jakub Skarek	31	100.00	61	55	44	81	57	58	58	54	59	62	50	56	48	0	46	54	0	26	1	1,075,000$
2	Dustin Tokarski	35	100.00	56	46	41	74	57	50	52	57	55	57	50	76	58	0	51	52	0	36	1	1,075,000$
Scratches
1	Kenneth Appleby	60	100.00	53	46	41	81	53	48	50	51	52	55	50	66	53	0	48	49	0	31	1	975,000$

	TEAM AVERAGE		100.00	57	49	42	79	56	52	53	54	55	58	50	66	53	0	48	52

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ben Sexton	72	71	68	69	54	66	1	CAN	34	1	1,015,000$

Show or Hide Columns

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	GS	S1	S3
1	Jack Devine	San Diego Gulls (ANA)	LW/RW	5	4	1	5	-2	4	5	4	22	5	4	18.18%	0	79	15.97	2	1	3	4	17	0	16	1	0	20.00%	5	1.25	-	0	1
2	Gustav Olofsson	San Diego Gulls (ANA)	D	5	0	5	5	-1	12	9	3	1	0	4	0%	8	108	21.61	0	3	3	0	16	0	17	0	0	0%	0	0.93	-	0	0
3	Matteo Pietroniro	San Diego Gulls (ANA)	D	5	1	4	5	1	4	5	1	11	4	12	9.09%	4	100	20.16	1	1	2	4	15	0	20	0	1	0%	0	0.99	-	1	0
4	Justin Bailey	San Diego Gulls (ANA)	RW	5	2	2	4	0	0	7	1	12	5	11	16.67%	0	77	15.49	1	2	3	5	14	0	1	0	0	30.00%	10	1.03	-	1	0
5	Riley Tufte	San Diego Gulls (ANA)	LW/RW	3	1	2	3	-1	0	7	2	9	0	9	11.11%	0	52	17.57	0	2	2	2	13	0	5	0	0	33.33%	6	1.14	66.5	0	0
6	Nicolas Aube-Kubel	San Diego Gulls (ANA)	RW	5	2	0	2	0	8	0	2	8	0	1	25.00%	0	54	10.91	0	0	0	0	2	0	1	1	0	0%	1	0.73	-	0	0
7	Cole O'Hara	San Diego Gulls (ANA)	LW/RW	2	1	1	2	1	2	2	1	5	0	5	20.00%	0	29	14.96	0	1	1	0	3	1	2	0	0	50.00%	2	1.34	-	0	0
8	Logan Brown	San Diego Gulls (ANA)	C	5	1	1	2	-1	2	2	5	9	2	2	11.11%	1	83	16.62	1	0	1	3	15	1	21	0	0	43.56%	101	0.48	-	0	1
9	Luke Rowe	San Diego Gulls (ANA)	D	5	0	2	2	-2	4	10	6	2	1	2	0%	1	79	15.97	0	0	0	0	0	0	9	0	0	0%	0	0.50	-	0	0
10	Cedric Pare	San Diego Gulls (ANA)	C	5	0	2	2	0	6	2	6	5	1	1	0%	0	69	13.82	0	0	0	0	0	1	19	0	0	52.17%	92	0.58	-	0	0
11	Mason Shaw	San Diego Gulls (ANA)	C	5	0	1	1	-2	4	2	11	9	2	7	0%	0	87	17.44	0	0	0	3	16	1	7	0	0	53.64%	110	0.23	-	0	0
12	Justin Holl	San Diego Gulls (ANA)	D	5	0	1	1	-3	2	3	6	1	0	0	0%	4	97	19.45	0	0	0	1	2	0	21	0	0	0%	0	0.21	-	0	0
13	Eetu Liukas	San Diego Gulls (ANA)	LW/RW	5	0	1	1	0	0	3	3	7	2	5	0%	0	63	12.60	0	0	0	0	1	0	10	0	0	40.00%	5	0.32	-	0	0
14	Matthew Highmore	San Diego Gulls (ANA)	C	5	0	1	1	1	0	2	2	4	4	3	0%	0	59	11.81	0	0	0	0	1	0	0	0	0	58.49%	53	0.34	-	0	0
15	Eduards Tralmaks	San Diego Gulls (ANA)	LW	4	1	0	1	-1	4	2	0	8	8	11	12.50%	0	73	18.48	0	0	0	1	14	0	12	0	0	25.00%	4	0.27	64.0	0	0
16	Julien Gauthier	San Diego Gulls (ANA)	RW	5	0	1	1	-1	0	3	4	7	3	11	0%	0	62	12.46	0	0	0	3	14	0	0	0	0	100.00%	1	0.32	-	0	0
17	Tobie Bisson	San Diego Gulls (ANA)	D	5	0	1	1	0	4	4	1	1	2	1	0%	3	83	16.67	0	0	0	0	0	0	6	0	0	0%	0	0.24	-	0	0
18	Valtteri Puustinen	San Diego Gulls (ANA)	RW	1	0	0	0	0	0	3	2	1	1	0	0%	0	13	13.33	0	0	0	0	0	0	0	0	0	100.00%	1	0	-	0	0
19	Jack Millar	San Diego Gulls (ANA)	D	5	0	0	0	0	4	6	7	5	2	1	0%	5	92	18.52	0	0	0	0	0	0	18	0	0	0%	0	0	-	0	0
20	Egor Afanasyev	San Diego Gulls (ANA)	LW/RW	5	0	0	0	-3	4	9	5	9	1	5	0%	0	76	15.31	0	0	0	3	17	0	0	0	0	33.33%	6	0	-	0	0
Team Total or Average				90	13	26	39	-14	64	86	72	136	43	95	9.56%	26	1443	16.04	5	10	15	29	168	4	193	2	1	49.37%	397	0.54	65.9	2	2

Show or Hide Columns

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	PCT	GAA	MP	PIM	GA	SA	PS %	ST	BG	S2
1	Jakub Skarek	San Diego Gulls (ANA)	5	2	3	0.868	3.39	283	0	16	121	0	5	0	1
2	Dustin Tokarski	San Diego Gulls (ANA)	1	0	0	1.000	0	16	2	0	7	0	0	5	0
Team Total or Average			6	2	3	0.875	3.20	300	2	16	128		5	5	1

Show or Hide Columns

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	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Anthony Richard	San Diego Gulls (ANA)	C	29	1996-12-20	CAN	No	76 Kg	173 CM	No	No	Assign Manually		No	No	1	2026-08-23	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Brandon Scanlin	San Diego Gulls (ANA)	D	27	1999-06-02	CAN	No	98 Kg	193 CM	No	No	Assign Manually		No	No	1	2026-08-24	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cedric Pare	San Diego Gulls (ANA)	C	27	1999-01-24	CAN	No	93 Kg	188 CM	No	No	Assign Manually		No	No	1	2026-08-23	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cole O'Hara	San Diego Gulls (ANA)	LW/RW	24	2002-06-20	CAN	No	79 Kg	180 CM	No	No	Prospect		Yes	Yes	1	2026-07-05	False	False	Pro & Farm	935,000$	858,361$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dustin Tokarski	San Diego Gulls (ANA)	G	36	1989-09-16	CAN	No	86 Kg	180 CM	No	No	Assign Manually		No	No	1	2026-08-24	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Eduards Tralmaks	San Diego Gulls (ANA)	LW	29	1997-02-17	LAT	No	85 Kg	191 CM	No	No	Assign Manually		No	No	1	2026-08-22	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Eetu Liukas	San Diego Gulls (ANA)	LW/RW	23	2002-09-25	FIN	No	93 Kg	191 CM	No	No	Assign Manually		No	No	1	2026-08-22	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Egor Afanasyev	San Diego Gulls (ANA)	LW/RW	25	2001-01-23	RUS	No	87 Kg	188 CM	No	No	Assign Manually		No	No	1	2026-08-22	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Gustav Olofsson	San Diego Gulls (ANA)	D	31	1994-12-01	SWE	No	86 Kg	188 CM	No	No	Assign Manually		No	No	1	2026-08-22	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Devine	San Diego Gulls (ANA)	LW/RW	22	2003-10-02	USA	No	84 Kg	183 CM	No	No	Prospect		No	No	2	2026-07-03	False	False	Pro & Farm	972,500$	892,787$	0$	0$	No	972,500$	-	-	-	-	-	-	-	-	972,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Millar	San Diego Gulls (ANA)	D	25	2000-11-30	USA	No	81 Kg	188 CM	No	No	Assign Manually		No	No	1	2026-08-24	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jakub Skarek	San Diego Gulls (ANA)	G	26	1999-11-10	CZE	No	92 Kg	193 CM	No	No	Assign Manually		No	No	1	2026-08-23	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Julien Gauthier	San Diego Gulls (ANA)	RW	28	1997-10-15	CAN	No	100 Kg	191 CM	No	No	Assign Manually		No	No	1	2026-08-22	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Justin Bailey	San Diego Gulls (ANA)	RW	31	1995-07-01	USA	No	90 Kg	191 CM	No	No	Assign Manually		No	No	1	2026-08-22	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Justin Holl	San Diego Gulls (ANA)	D	34	1992-01-30	USA	No	86 Kg	191 CM	No	No	Assign Manually	2025-07-01	No	No	1	2026-08-22	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kenneth Appleby	San Diego Gulls (ANA)	G	31	1995-04-10	CAN	No	93 Kg	193 CM	No	No	Assign Manually		No	No	1	2024-08-25	False	False	Pro & Farm	975,000$	895,082$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Logan Brown	San Diego Gulls (ANA)	C	28	1998-03-05	USA	No	98 Kg	196 CM	No	No	Assign Manually		No	No	1	2026-08-23	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Rowe	San Diego Gulls (ANA)	D	27	1998-08-08	USA	No	95 Kg	185 CM	No	No	Assign Manually		No	No	1	2026-08-24	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mason Shaw	San Diego Gulls (ANA)	C	27	1998-11-03	CAN	No	75 Kg	170 CM	No	No	Assign Manually		No	No	1	2026-08-23	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matteo Pietroniro	San Diego Gulls (ANA)	D	27	1998-10-20	USA	No	84 Kg	183 CM	No	No	Assign Manually		No	No	1	2026-08-22	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Highmore	San Diego Gulls (ANA)	C	30	1996-02-27	CAN	No	79 Kg	180 CM	No	No	Assign Manually	2024-03-01	No	No	1	2026-08-23	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nico Myatovic	San Diego Gulls (ANA)	C	21	2004-12-01	CAN	No	74 Kg	183 CM	No	No	Prospect		No	No	1	2025-06-09	False	False	Pro & Farm	896,667$	823,170$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nicolas Aube-Kubel	San Diego Gulls (ANA)	RW	30	1996-05-10	CAN	No	86 Kg	180 CM	No	No	Assign Manually	2024-07-03	No	No	1	2026-08-22	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Riley Tufte	San Diego Gulls (ANA)	LW/RW	28	1998-04-10	USA	No	93 Kg	193 CM	No	No	Assign Manually	2024-02-24	No	No	1	2026-08-21	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tobie Bisson	San Diego Gulls (ANA)	D	29	1997-02-01	CAN	No	85 Kg	185 CM	No	No	Assign Manually	2025-02-18	No	No	1	2026-08-27	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Valtteri Puustinen	San Diego Gulls (ANA)	RW	27	1999-06-04	FIN	No	83 Kg	175 CM	No	No	Assign Manually	2025-08-31	No	No	1	2026-08-22	False	False	Pro & Farm	1,075,000$	986,885$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	27.77	87 Kg	185 CM	1.04	1,054,968$

Show or Hide Columns

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	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
1	Bakersfield Condors	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	4	5	4	0	29	45	39	52	0	20	3	12	15	5	0	0.00%	5	1	80.00%	0	89	165	53.94%	76	154	49.35%	31	78	39.74%	118	79	118	38	63	31
2	Henderson Silver Knights	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	4	5	4	0	27	45	39	52	0	31	8	18	18	1	0	0.00%	9	2	77.78%	0	89	165	53.94%	76	154	49.35%	31	78	39.74%	118	79	118	38	63	31
3	Ontario Reign	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	4	5	4	0	38	45	39	52	0	19	3	16	17	7	1	14.29%	8	2	75.00%	0	89	165	53.94%	76	154	49.35%	31	78	39.74%	118	79	118	38	63	31
4	San Jose Barracuda	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	4	5	4	0	24	45	39	52	0	28	7	10	23	5	2	40.00%	5	0	100.00%	0	89	165	53.94%	76	154	49.35%	31	78	39.74%	118	79	118	38	63	31
5	Texas Stars	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	4	5	4	0	18	45	39	52	0	30	5	10	13	4	2	50.00%	5	0	100.00%	0	89	165	53.94%	76	154	49.35%	31	78	39.74%	118	79	118	38	63	31
	Total	5	2	3	0	0	0	0	0	13	16	-3	2	1	1	0	0	0	0	0	4	6	-2	3	1	2	0	0	0	0	0	9	10	-1	4	0.400	13	26	39	0	0	4	5	4	0	136	45	39	52	0	128	26	66	86	22	5	22.73%	32	5	84.38%	0	89	165	53.94%	76	154	49.35%	31	78	39.74%	118	79	118	38	63	31
	_Since Last GM Reset	5	2	3	0	0	0	0	0	13	16	-3	2	1	1	0	0	0	0	0	4	6	-2	3	1	2	0	0	0	0	0	9	10	-1	4	0.400	13	26	39	0	0	4	5	4	0	136	45	39	52	0	128	26	66	86	22	5	22.73%	32	5	84.38%	0	89	165	53.94%	76	154	49.35%	31	78	39.74%	118	79	118	38	63	31
	_Vs Conference	5	2	3	0	0	0	0	0	13	16	-3	2	1	1	0	0	0	0	0	4	6	-2	3	1	2	0	0	0	0	0	9	10	-1	4	0.400	13	26	39	0	0	4	5	4	0	136	45	39	52	0	128	26	66	86	22	5	22.73%	32	5	84.38%	0	89	165	53.94%	76	154	49.35%	31	78	39.74%	118	79	118	38	63	31
	_Vs Division	4	1	3	0	0	0	0	0	9	14	-5	2	1	1	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	5	8	-3	2	0.250	9	18	27	0	0	4	5	4	0	118	45	39	52	0	98	21	56	73	18	3	16.67%	27	5	81.48%	0	89	165	53.94%	76	154	49.35%	31	78	39.74%	118	79	118	38	63	31

Total For Players

Games Played5

Points4

StreakL2

Goals13

Assists26

Points (P)39

Shots For136

Shots Against128

Shots Blocked26

Penalty Minutes66

Empty Net Goals0

Shutouts0

Record

	GP	W	L	GF	GA
All Games	5	2	3	13	16
Home Games	2	1	1	4	6
Visitor Games	3	1	2	9	10
Last 10 Games	-	2	3	-	-

Special Teams

	Att	G	%	GF
PP	22	5	22.73%	-
PK	32	5	84.38%	0

By Period

	1st	2nd	3rd	OT
Shots	45	39	52	0
Goals	4	5	4	0

Face Offs

	Won	Total	%
Offensive	89	165	53.94%
Defensive	76	154	49.35%
Neutral	31	78	39.74%

Puck Time

	In Zone	Control
Offensive	118	79
Defensive	118	38
Neutral	63	31

Last Played Games Show or Hide Columns

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	Link
3 - 2026-10-01	16	San Jose Barracuda	1	San Diego Gulls	3	W	Box score
6 - 2026-10-04	37	Henderson Silver Knights	5	San Diego Gulls	1	L	Box score
10 - 2026-10-08	58	San Diego Gulls	4	Texas Stars	2	W	Box score
11 - 2026-10-09	67	San Diego Gulls	2	Bakersfield Condors	3	L	Box score
13 - 2026-10-11	77	San Diego Gulls	3	Ontario Reign	5	L	Box score
16 - 2026-10-14	90	Rockford IceHogs	-	San Diego Gulls	-
17 - 2026-10-15	101	San Diego Gulls	-	Coachella Valley Firebirds	-
20 - 2026-10-18	123	Calgary Wranglers	-	San Diego Gulls	-
23 - 2026-10-21	136	Abbotsford Canucks	-	San Diego Gulls	-
26 - 2026-10-24	162	Toronto Marlies	-	San Diego Gulls	-
28 - 2026-10-26	168	San Diego Gulls	-	Hamilton Hammers	-
30 - 2026-10-28	188	San Diego Gulls	-	Utica Comets	-
32 - 2026-10-30	201	San Diego Gulls	-	Charlotte Checkers	-
34 - 2026-11-01	214	San Diego Gulls	-	Providence Bruins	-
36 - 2026-11-03	222	Calgary Wranglers	-	San Diego Gulls	-
38 - 2026-11-05	237	San Diego Gulls	-	Hamilton Hammers	-
40 - 2026-11-07	249	Cleveland Monsters	-	San Diego Gulls	-
42 - 2026-11-09	259	San Diego Gulls	-	Coachella Valley Firebirds	-
44 - 2026-11-11	275	San Diego Gulls	-	Hartford Wolf Pack	-
47 - 2026-11-14	288	Charlotte Checkers	-	San Diego Gulls	-
49 - 2026-11-16	301	San Diego Gulls	-	Ontario Reign	-
51 - 2026-11-18	317	Hamilton Hammers	-	San Diego Gulls	-
54 - 2026-11-21	336	San Diego Gulls	-	San Jose Barracuda	-
56 - 2026-11-23	346	Rochester Americans	-	San Diego Gulls	-
58 - 2026-11-25	367	San Diego Gulls	-	Syracuse Crunch	-
61 - 2026-11-28	379	Lehigh Valley Phantoms	-	San Diego Gulls	-
63 - 2026-11-30	389	San Diego Gulls	-	Manitoba Moose	-
65 - 2026-12-02	409	Hartford Wolf Pack	-	San Diego Gulls	-
69 - 2026-12-06	430	San Diego Gulls	-	Hershey Bears	-
72 - 2026-12-09	444	San Diego Gulls	-	Lehigh Valley Phantoms	-
73 - 2026-12-10	450	Belleville Senators	-	San Diego Gulls	-
77 - 2026-12-14	474	Milwaukee Admirals	-	San Diego Gulls	-
79 - 2026-12-16	487	San Diego Gulls	-	Rochester Americans	-
81 - 2026-12-18	504	San Diego Gulls	-	Calgary Wranglers	-
82 - 2026-12-19	512	Henderson Silver Knights	-	San Diego Gulls	-
85 - 2026-12-22	537	Iowa Wild	-	San Diego Gulls	-
87 - 2026-12-24	546	San Diego Gulls	-	Bakersfield Condors	-
91 - 2026-12-28	571	Providence Bruins	-	San Diego Gulls	-
96 - 2027-01-02	601	Hershey Bears	-	San Diego Gulls	-
98 - 2027-01-04	614	San Diego Gulls	-	Milwaukee Admirals	-
100 - 2027-01-06	629	Manitoba Moose	-	San Diego Gulls	-
102 - 2027-01-08	641	San Diego Gulls	-	Cleveland Monsters	-
105 - 2027-01-11	664	Wilkes-Barre/Scranton Penguins	-	San Diego Gulls	-
107 - 2027-01-13	674	San Diego Gulls	-	Chicago Wolves	-
109 - 2027-01-15	687	San Diego Gulls	-	Laval Rocket	-
111 - 2027-01-17	700	Laval Rocket	-	San Diego Gulls	-
115 - 2027-01-21	726	Texas Stars	-	San Diego Gulls	-
118 - 2027-01-24	753	Rockford IceHogs	-	San Diego Gulls	-
122 - 2027-01-28	777	San Diego Gulls	-	Abbotsford Canucks	-
124 - 2027-01-30	789	Abbotsford Canucks	-	San Diego Gulls	-
127 - 2027-02-02	808	San Diego Gulls	-	Wilkes-Barre/Scranton Penguins	-
129 - 2027-02-04	822	Colorado Eagles	-	San Diego Gulls	-
131 - 2027-02-06	837	San Diego Gulls	-	Grand Rapids Griffins	-
133 - 2027-02-08	845	Grand Rapids Griffins	-	San Diego Gulls	-
136 - 2027-02-11	864	San Diego Gulls	-	Springfield Thunderbirds	-
139 - 2027-02-14	879	San Diego Gulls	-	Texas Stars	-
140 - 2027-02-15	888	Springfield Thunderbirds	-	San Diego Gulls	-
144 - 2027-02-19	913	Coachella Valley Firebirds	-	San Diego Gulls	-
146 - 2027-02-21	922	San Diego Gulls	-	Rockford IceHogs	-
149 - 2027-02-24	946	Tucson Roadrunners	-	San Diego Gulls	-
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2027-02-26	956	San Diego Gulls	-	Belleville Senators	-
152 - 2027-02-27	966	San Diego Gulls	-	Henderson Silver Knights	-
155 - 2027-03-02	984	Chicago Wolves	-	San Diego Gulls	-
159 - 2027-03-06	1009	San Jose Barracuda	-	San Diego Gulls	-
161 - 2027-03-08	1017	San Diego Gulls	-	Colorado Eagles	-
164 - 2027-03-11	1043	Bakersfield Condors	-	San Diego Gulls	-
167 - 2027-03-14	1063	Syracuse Crunch	-	San Diego Gulls	-
169 - 2027-03-16	1071	San Diego Gulls	-	Iowa Wild	-
173 - 2027-03-20	1099	Utica Comets	-	San Diego Gulls	-
174 - 2027-03-21	1107	San Diego Gulls	-	Toronto Marlies	-
179 - 2027-03-26	1133	Ontario Reign	-	San Diego Gulls	-
180 - 2027-03-27	1136	San Diego Gulls	-	Tucson Roadrunners	-

Arena Capacity - Ticket Price Attendance - %

	Level 1	Level 2
Capacity	5000	2500
Ticket Price	35	15
Attendance	9,631	4,595
Attendance PCT	96.31%	91.90%

Income

Home Games Left34

Average Attendance - %7113 - 94.84%

Average Income per Game302,478$

Year to Date Revenue604,955$

Capacity7500

Team Popularity100

Expenses

Year To Date Expenses302,152$

Players Total Salaries2,742,917$

Players Total Salaries Cap2,742,917$

Coaches Salaries1,015,000$

Salary Cap Per Days14,989$

Salary Cap To Date218,958$

Players In Salary Cap0

Players Out of Salary Cap0

Estimate

Estimated Season Revenue10,284,235$

Remaining Season Days168

Expenses Per Days20,535$

Estimated Season Expenses3,449,880$

San Diego Gulls Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Mason Shaw	221	64	77	141	-36	198	402	303	642	9.97%	70	3631	16.43	23	37	60	128	1	1	2	13	9	7	37.94%	2	0.78	1	1
2	Sam Carrick	191	54	83	137	-28	297	648	479	614	8.79%	54	3533	18.50	16	28	44	144	3	0	3	10	6	3	51.63%	0	0.78	2	5
3	Anthony Richard	144	55	77	132	1	66	136	229	461	11.93%	41	2506	17.40	14	26	40	68	0	0	0	0	10	1	54.49%	1	1.05	0	8
4	Chris Wagner	144	58	69	127	23	36	254	320	502	11.55%	46	2672	18.56	12	16	28	70	0	1	1	17	7	4	53.70%	1	0.95	0	2
5	Max Jones	144	45	61	106	12	124	253	124	316	14.24%	21	2138	14.85	13	22	35	84	0	0	0	7	10	4	34.01%	0	0.99	6	11

San Diego Gulls Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Lukas Dostal	114	52	44	13	0.898	2.82	6594	16	6	310	3025	0	1	1	0.742	31
2	Kenneth Appleby	89	45	30	9	0.898	3.06	5166	2	1	263	2577	919	7	3	0.621	29
3	Dylan Ferguson	78	23	41	10	0.893	3.42	4226	2	2	241	2261	0	3	3	0.778	9
4	Gage Alexander	28	8	13	1	0.899	3.28	1374	0	0	75	742	0	1	0	0	0
5	Brandon Halverson	16	7	9	0	0.875	3.17	928	0	0	49	391	0	1	1	0.800	5

San Diego Gulls Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	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
Regular Season
2021	72	25	32	0	3	8	2	2	191	220	-29	36	15	10	0	2	5	2	2	94	94	0	36	10	22	0	1	3	0	0	97	126	-29	70	191	334	525	0	2	65	66	55	6	1827	592	615	587	46	2024	560	1128	1430	433	52	12.01%	489	79	83.84%	6	1061	2223	47.73%	1204	2470	48.74%	535	1065	50.23%	1652	1089	1799	581	917	446
2022	72	26	34	0	3	4	3	2	202	211	-9	36	13	15	0	2	2	2	2	109	114	-5	36	13	19	0	1	2	1	0	93	97	-4	70	202	354	556	2	5	70	58	68	9	2190	693	730	742	45	2157	641	635	1602	318	50	15.72%	282	53	81.21%	6	1156	2331	49.59%	1119	2325	48.13%	568	1139	49.87%	1722	1163	1692	555	940	474
2023	72	22	40	0	2	6	0	2	190	252	-62	36	10	23	0	0	1	0	2	98	135	-37	36	12	17	0	2	5	0	0	92	117	-25	56	190	335	525	2	1	78	56	54	2	2157	697	729	721	16	2325	673	772	1797	282	46	16.31%	324	72	77.78%	2	1114	2350	47.40%	1176	2427	48.45%	509	1121	45.41%	1616	1065	1777	566	951	458
2024	72	21	32	0	6	9	2	2	205	238	-33	36	9	18	0	2	6	1	0	100	122	-22	36	12	14	0	4	3	1	2	105	116	-11	69	205	340	545	3	0	24	79	94	12	2662	652	943	1040	39	2580	855	456	1786	129	43	33.33%	179	50	72.07%	3	809	1570	51.53%	740	1430	51.75%	553	1080	51.20%	1524	856	1490	682	1351	660
2025	72	29	28	0	3	4	6	2	251	233	18	36	13	13	0	2	3	4	1	130	115	15	36	16	15	0	1	1	2	1	121	118	3	82	251	444	695	3	3	74	103	65	16	1842	564	611	635	65	1756	492	852	1306	370	88	23.78%	363	75	79.34%	2	1148	2195	52.30%	1150	2222	51.76%	601	1160	51.81%	1733	1147	1663	582	980	488
2026	5	2	3	0	0	0	0	0	13	16	-3	2	1	1	0	0	0	0	0	4	6	-2	3	1	2	0	0	0	0	0	9	10	-1	4	13	26	39	0	0	4	5	4	0	136	45	39	52	0	128	26	66	86	22	5	22.73%	32	5	84.38%	0	89	165	53.94%	76	154	49.35%	31	78	39.74%	118	79	118	38	63	31
Total Regular Season	365	125	169	0	17	31	13	10	1052	1170	-118	182	61	80	0	8	17	9	7	535	586	-51	183	64	89	0	9	14	4	3	517	584	-67	351	1052	1833	2885	10	11	315	367	340	45	10814	3243	3667	3777	211	10970	3247	3909	8007	1554	284	18.28%	1669	334	79.99%	19	5377	10834	49.63%	5465	11028	49.56%	2797	5643	49.57%	8367	5401	8542	3005	5203	2560
Playoff
2025	11	6	5	0	0	0	0	0	38	33	5	5	3	2	0	0	0	0	0	17	14	3	6	3	3	0	0	0	0	0	21	19	2	12	38	68	106	0	1	8	14	14	2	283	65	100	97	21	359	111	188	226	48	12	25.00%	79	14	82.28%	0	201	391	51.41%	216	434	49.77%	98	188	52.13%	272	174	279	91	156	78
Total Playoff	11	6	5	0	0	0	0	0	38	33	5	5	3	2	0	0	0	0	0	17	14	3	6	3	3	0	0	0	0	0	21	19	2	12	38	68	106	0	1	8	14	14	2	283	65	100	97	21	359	111	188	226	48	12	25.00%	79	14	82.28%	0	201	391	51.41%	216	434	49.77%	98	188	52.13%	272	174	279	91	156	78

San Diego Gulls Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKS	GW	GT	FO%	HT	P/20
1	Kole Lind	11	5	5	10	6	4	4	9	19	26.32%	1	173	15.80	2	1	3	6	0	1	0	36.36%	0	1.15
2	Anthony Richard	11	4	6	10	7	2	0	16	41	9.76%	1	199	18.17	1	2	3	15	0	1	1	54.81%	0	1.00
3	Matthew Strome	11	4	6	10	2	10	6	10	19	21.05%	1	200	18.26	1	4	5	7	1	0	2	43.75%	1	1.00
4	Max Jones	11	3	7	10	7	18	35	11	24	12.50%	1	206	18.73	1	2	3	7	0	0	0	9.09%	0	0.97
5	Tristan Luneau	11	3	6	9	-1	6	3	11	20	15.00%	8	212	19.28	2	4	6	15	0	0	0	0%	0	0.85

San Diego Gulls Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Arturs Silovs	11	6	4	1	0.908	2.80	707	2	1	33	359	0	1	0	0	0

	San Diego Gulls
	GP: 5 \| W: 2 \| L: 3 \| OTL: 0 \| P: 4 GF: 13 \| GA: 16 \| PP%: 22.73% \| PK%: 84.38% GM : Tommy Tran \| Morale : 49 \| Team Overall : 56 Next Games #90 vs Rockford IceHogs