Anaheim Ducks
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Game Center
	San Diego Gulls 2-22-2, 6pts	2	FINAL	3	LeHigh Valley Phantoms 9-20-0, 18pts

Team Stats
L3	Streak	W1
2-10-1	Home Record	7-6-0
0-12-1	Home Record	2-14-0
1-9-0	Last 10 Games	3-7-0
1.77	Goals Per Game	2.21
4.50	Goals Against Per Game	3.86
9.30%	Power Play Percentage	6.12%
80.43%	Penalty Kill Percentage	70.83%

Hershey Bears
6-21-1, 13pts

FINAL

San Diego Gulls
2-22-2, 6pts

Team Stats
L1	Streak	L3
3-9-1	Home Record	2-10-1
3-12-0	Home Record	0-12-1
1-9-0	Last 10 Games	1-9-0
1.89	Goals Per Game	1.77
4.04	Goals Against Per Game	4.50
10.81%	Power Play Percentage	9.30%
77.55%	Penalty Kill Percentage	80.43%

San Diego Gulls
2-22-2, 6pts

Day 62

San Jose Barracuda
17-7-1, 35pts

Team Stats
L3	Streak	W3
2-10-1	Home Record	8-4-1
0-12-1	Away Record	9-3-0
1-9-0	Last 10 Games	9-1-0
1.77	Goals Per Game	2.88
4.50	Goals Against Per Game	2.88
9.30%	Power Play Percentage	15.87%
80.43%	Penalty Kill Percentage	94.03%

Abbotsford Canucks
20-6-0, 40pts

Day 64

San Diego Gulls
2-22-2, 6pts

Team Stats
L1	Streak	L3
10-3-0	Home Record	2-10-1
10-3-0	Away Record	0-12-1
8-2-0	Last 10 Games	1-9-0
3.27	Goals Per Game	1.77
1.00	Goals Against Per Game	1.77
12.07%	Power Play Percentage	9.30%
89.22%	Penalty Kill Percentage	80.43%

San Diego Gulls
2-22-2, 6pts

Day 66

Bakersfield Condors
6-19-2, 14pts

Team Stats
L3	Streak	L4
2-10-1	Home Record	3-9-1
0-12-1	Away Record	3-10-1
1-9-0	Last 10 Games	2-8-0
1.77	Goals Per Game	2.19
4.50	Goals Against Per Game	2.19
9.30%	Power Play Percentage	0.00%
80.43%	Penalty Kill Percentage	68.57%

Team Leaders

Team Stats
Goals For 46 1.77 GFG	Shots For 676 26.00 Avg	Power Play Percentage 9.3% 4 GF	Offensive Zone Start 33.6%
Goals Against 117 4.50 GAA	Shots Against 1000 38.46 Avg	Penalty Kill Percentage 80.4%% 9 GA	Defensive Zone Start 42.4%

Team Info
	General Manager	Patrick Resche
	Division	PACIFIC
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	720
	Season Tickets	300
Roster Info
	Pro Team	9
	Farm Team	21
	Contract Limit	30 / 250
	Prospects	45

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	Pierre-Edouard Bellemare	X	X	X		100.00	67	40	89	66	72	77	81	63	83	60	58	86	61	83	79	17	50	0	0	39	1	1,765,000$
2	Chase De Leo	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	28	3	775,000$
3	Mark Jankowski	X				100.00	76	42	81	67	89	82	85	65	84	68	66	79	64	72	73	66	50	0	0	30	3	750,000$
4	Ryan Lomberg		X			100.00	79	77	70	68	66	76	89	63	58	55	61	62	66	71	72	35	50	0	0	30	1	700,000$
5	Colin White	X		X		100.00	69	38	93	64	76	78	82	62	74	59	60	63	65	69	70	71	50	0	0	27	3	1,200,000$
6	Paul Cotter (R)	X				100.00	87	40	87	67	83	81	85	66	64	65	67	62	66	65	68	57	50	0	0	24	2	775,000$
7	Fredrik Claesson				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	34	1	985,000$
8	Jake Bean				X	100.00	63	35	86	67	76	87	76	66	30	71	60	74	53	66	68	81	50	0	0	26	1	1,900,000$
Scratches

	TEAM AVERAGE					100.00	65	43	73	60	67	80	85	58	54	57	57	63	54	60	60	44	50	0

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	Troy Grosenick	100.00	65	95	70	74	66	59	60	60	60	51	71	75	89	25	50	0	0	35	1	925,000$
Scratches

	TEAM AVERAGE	100.00	65	95	70	74	66	59	60	60	60	51	71	75	89	25	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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	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
Chase De Leo	San Diego Gulls (ANA)	C	28	1995-10-25	USA	No	186 Lbs	5 ft9	No	No	N/A	No	No	3	2024-05-19	False	False	Pro & Farm	775,000$	531,314$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Colin White	San Diego Gulls (ANA)	C/RW	27	1997-01-30	USA	No	194 Lbs	6 ft1	No	No	N/A	No	No	3		False	False	Pro & Farm	1,200,000$	822,680$	0$	0$	No	1,200,000$	1,200,000$	-	-	-	-	-	-	-	1,200,000$	1,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Fredrik Claesson	San Diego Gulls (ANA)	D	34	1990-07-20	SWE	No	196 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	985,000$	675,284$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jake Bean	San Diego Gulls (ANA)	D	26	1998-06-09	CAN	No	191 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	1,900,000$	1,302,577$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mark Jankowski	San Diego Gulls (ANA)	C	30	1994-09-13	CAN	No	212 Lbs	6 ft4	No	No	N/A	No	No	3		False	False	Pro & Farm	750,000$	514,175$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Paul Cotter	San Diego Gulls (ANA)	C	24	1999-11-16	USA	Yes	213 Lbs	6 ft2	No	No	Assign Manually	No	No	2	2024-08-20	False	False	Pro & Farm	775,000$	531,314$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Pierre-Edouard Bellemare	San Diego Gulls (ANA)	C/LW/RW	39	1985-03-06	FRA	No	198 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	1,765,000$	1,210,026$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ryan Lomberg	San Diego Gulls (ANA)	LW	30	1994-09-12	CAN	No	184 Lbs	5 ft9	No	No	N/A	No	No	1		False	False	Pro & Farm	700,000$	479,897$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Troy Grosenick	San Diego Gulls (ANA)	G	35	1989-08-27	USA	No	185 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	634,149$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
9	30.33	195 Lbs	6 ft0	1.78	1,086,111$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				38	1	2	2
2				30	1	2	2
3				22	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			38	1	2	2
2			30	1	2	2
3			22	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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	Coachella Valley Firebirds	1	0	1	0	0	0	0	0	0	7	-7	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	0	0	0	0	0	20	14	12	1	12	228	207	238	6	45	11	6	14	1	0	0.00%	3	1	66.67%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
2	Grand Rapids Griffins	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	3	6	9	0	0	20	14	12	1	35	228	207	238	6	41	10	4	32	2	0	0.00%	2	0	100.00%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
3	Hartford Wolf Pack	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	20	14	12	1	53	228	207	238	6	41	14	2	21	0	0	0%	1	0	100.00%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
4	Henderson Silver Knights	4	0	4	0	0	0	0	0	0	22	-22	1	0	1	0	0	0	0	0	0	6	-6	3	0	3	0	0	0	0	0	0	16	-16	0	0.000	0	0	0	0	0	20	14	12	1	39	228	207	238	6	142	43	12	37	9	0	0.00%	5	1	80.00%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
5	Hershey Bears	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	20	14	12	1	39	228	207	238	6	29	9	4	26	3	2	66.67%	2	0	100.00%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
6	LeHigh Valley Phantoms	2	0	2	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	4	6	-2	0	0.000	4	8	12	0	0	20	14	12	1	59	228	207	238	6	78	19	8	68	0	0	0%	3	0	100.00%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
7	Manitoba Moose	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	20	14	12	1	33	228	207	238	6	35	11	2	36	4	0	0.00%	1	0	100.00%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
8	Milwaukee Admirals	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	20	14	12	1	40	228	207	238	6	27	6	2	22	2	0	0.00%	1	0	100.00%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
9	Ontario Reign	5	0	4	0	0	1	0	0	7	21	-14	2	0	2	0	0	0	0	0	1	7	-6	3	0	2	0	0	1	0	0	6	14	-8	1	0.100	7	12	19	0	0	20	14	12	1	113	228	207	238	6	220	57	25	104	11	0	0.00%	10	3	70.00%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
10	San Jose Barracuda	3	0	3	0	0	0	0	0	4	14	-10	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	0	6	-6	0	0.000	4	8	12	0	0	20	14	12	1	53	228	207	238	6	107	34	14	40	7	1	14.29%	7	3	57.14%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
11	Springfield Thunderbirds	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	20	14	12	1	19	228	207	238	6	27	6	6	11	1	0	0.00%	3	1	66.67%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
12	Syracuse Crunch	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	20	14	12	1	15	228	207	238	6	35	12	2	10	0	0	0%	1	0	100.00%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
13	Tucson Roadrunners	4	1	2	0	0	0	0	1	12	14	-2	4	1	2	0	0	0	0	1	12	14	-2	0	0	0	0	0	0	0	0	0	0	0	3	0.375	12	24	36	0	0	20	14	12	1	166	228	207	238	6	173	46	16	104	3	1	33.33%	7	0	100.00%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
	Total	26	2	22	0	0	1	0	1	46	117	-71	13	2	10	0	0	0	0	1	30	53	-23	13	0	12	0	0	1	0	0	16	64	-48	6	0.115	46	90	136	0	0	20	14	12	1	676	228	207	238	6	1000	278	103	525	43	4	9.30%	46	9	80.43%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
	_Since Last GM Reset	26	2	22	0	0	1	0	1	46	117	-71	13	2	10	0	0	0	0	1	30	53	-23	13	0	12	0	0	1	0	0	16	64	-48	6	0.115	46	90	136	0	0	20	14	12	1	676	228	207	238	6	1000	278	103	525	43	4	9.30%	46	9	80.43%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116
	_Vs Conference	20	1	17	0	0	1	0	1	29	94	-65	10	1	8	0	0	0	0	1	18	41	-23	10	0	9	0	0	1	0	0	11	53	-42	4	0.100	29	56	85	0	0	20	14	12	1	477	228	207	238	6	782	213	85	364	36	2	5.56%	38	9	76.32%	0	255	550	46.36%	285	694	41.07%	159	394	40.36%	430	300	858	171	276	116

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
26	6	L3	46	90	136	676	1000	278	103	525	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	2	22	0	1	0	1	46	117

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	2	10	0	0	0	1	30	53

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	0	12	0	1	0	0	16	64

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	9	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
43	4	9.30%	46	9	80.43%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
228	207	238	6	20	14	12	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
255	550	46.36%	285	694	41.07%	159	394	40.36%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
430	300	858	171	276	116

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	OT	SO	Link
2	8	San Diego Gulls	1	Ontario Reign	4	L			BoxScore
5	19	San Diego Gulls	2	Milwaukee Admirals	4	L			BoxScore
7	29	Tucson Roadrunners	3	San Diego Gulls	2	L	X	X	BoxScore
10	49	Ontario Reign	3	San Diego Gulls	0	L			BoxScore
13	72	San Diego Gulls	0	Henderson Silver Knights	4	L			BoxScore
15	86	Manitoba Moose	5	San Diego Gulls	4	L			BoxScore
17	102	San Diego Gulls	3	Grand Rapids Griffins	6	L			BoxScore
19	117	Springfield Thunderbirds	6	San Diego Gulls	1	L			BoxScore
21	129	San Diego Gulls	0	Henderson Silver Knights	6	L			BoxScore
23	147	San Jose Barracuda	4	San Diego Gulls	2	L			BoxScore
25	158	San Diego Gulls	2	LeHigh Valley Phantoms	3	L			BoxScore
26	172	San Diego Gulls	4	Ontario Reign	5	L	X		BoxScore
29	188	Tucson Roadrunners	4	San Diego Gulls	5	W			BoxScore
31	212	Ontario Reign	4	San Diego Gulls	1	L			BoxScore
34	227	San Diego Gulls	0	San Jose Barracuda	6	L			BoxScore
36	239	San Diego Gulls	1	Syracuse Crunch	5	L			BoxScore
37	251	Tucson Roadrunners	5	San Diego Gulls	4	L			BoxScore
40	273	Henderson Silver Knights	6	San Diego Gulls	0	L			BoxScore
42	289	San Diego Gulls	0	Henderson Silver Knights	6	L			BoxScore
44	302	San Diego Gulls	0	Coachella Valley Firebirds	7	L			BoxScore
45	314	San Jose Barracuda	4	San Diego Gulls	2	L			BoxScore
47	331	San Diego Gulls	1	Ontario Reign	5	L			BoxScore
49	345	Hartford Wolf Pack	2	San Diego Gulls	5	W			BoxScore
54	373	Tucson Roadrunners	2	San Diego Gulls	1	L			BoxScore
57	385	San Diego Gulls	2	LeHigh Valley Phantoms	3	L			BoxScore
60	405	Hershey Bears	5	San Diego Gulls	3	L			BoxScore
62	423	San Diego Gulls	-	San Jose Barracuda	-
64	433	Abbotsford Canucks	-	San Diego Gulls	-
66	447	San Diego Gulls	-	Bakersfield Condors	-
68	459	San Diego Gulls	-	Grand Rapids Griffins	-
70	472	San Diego Gulls	-	Toronto Marlies	-
71	479	Belleville Senators	-	San Diego Gulls	-
74	500	San Diego Gulls	-	Abbotsford Canucks	-
76	510	Iowa Wild	-	San Diego Gulls	-
80	539	Milwaukee Admirals	-	San Diego Gulls	-
85	550	San Diego Gulls	-	Cleveland Monsters	-
88	569	Wilkes-Barre/Scranton Penguins	-	San Diego Gulls	-
89	579	San Diego Gulls	-	Milwaukee Admirals	-
91	598	San Diego Gulls	-	Texas Stars	-
93	608	Springfield Thunderbirds	-	San Diego Gulls	-
97	632	San Diego Gulls	-	Providence Bruins	-
98	639	Texas Stars	-	San Diego Gulls	-
100	664	Ontario Reign	-	San Diego Gulls	-
103	688	Manitoba Moose	-	San Diego Gulls	-
104	700	San Diego Gulls	-	Colorado Eagles	-
108	719	San Diego Gulls	-	Rockford IceHogs	-
109	729	Iowa Wild	-	San Diego Gulls	-
112	748	San Diego Gulls	-	Springfield Thunderbirds	-
113	762	Calgary Wranglers	-	San Diego Gulls	-
116	785	Grand Rapids Griffins	-	San Diego Gulls	-
118	804	San Diego Gulls	-	Calgary Wranglers	-
121	818	San Diego Gulls	-	Tucson Roadrunners	-
122	827	Cleveland Monsters	-	San Diego Gulls	-
126	841	San Diego Gulls	-	Utica Comets	-
128	860	Coachella Valley Firebirds	-	San Diego Gulls	-
129	873	San Diego Gulls	-	Texas Stars	-
143	888	Hartford Wolf Pack	-	San Diego Gulls	-
146	900	San Diego Gulls	-	Iowa Wild	-
148	918	San Diego Gulls	-	Tucson Roadrunners	-
149	926	Rockford IceHogs	-	San Diego Gulls	-
151	949	Bakersfield Condors	-	San Diego Gulls	-
153	958	San Diego Gulls	-	Hershey Bears	-
157	981	San Diego Gulls	-	Chicago Wolves	-
Trade Deadline --- Trades can’t be done after this day is simulated!
158	990	Rochester Americans	-	San Diego Gulls	-
162	1001	San Diego Gulls	-	Utica Comets	-
167	1019	Bridgeport Islanders	-	San Diego Gulls	-
169	1034	San Diego Gulls	-	Laval Rocket	-
171	1050	San Diego Gulls	-	Belleville Senators	-
172	1055	Charlotte Checkers	-	San Diego Gulls	-
177	1086	Texas Stars	-	San Diego Gulls	-
184	1115	Charlotte Checkers	-	San Diego Gulls	-
191	1137	Colorado Eagles	-	San Diego Gulls	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	100	90
Attendance	7,389	1,969
Attendance PCT	28.42%	15.15%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
23	720 - 23.99%	83,155$	1,081,011$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
323,939$	977,500$	652,702$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
5,039$	323,939$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,912,558$	133	5,039$	670,187$

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

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

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

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	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

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

	San Diego Gulls
	GP: 26 \| W: 2 \| L: 22 \| OTL: 2 \| P: 6 GF: 46 \| GA: 117 \| PP%: 9.30% \| PK%: 80.43% GM : Patrick Resche \| Morale : 50 \| Team Overall : N/A Next Games #423 vs San Jose Barracuda