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

Game Center
	Gulls 4-77-1, 9pts	1	FINAL	6	Condors 38-39-5, 81pts

Team Stats
W1	Streak	L1
2-38-1	Home Record	20-19-2
2-39-0	Home Record	18-20-3
1-9-0	Last 10 Games	6-4-0
1.49	Goals Per Game	3.24
7.29	Goals Against Per Game	3.50
8.84%	Power Play Percentage	16.86%
68.50%	Penalty Kill Percentage	82.38%

Bears
12-68-2, 26pts

FINAL

Gulls
4-77-1, 9pts

Team Stats
L15	Streak	W1
8-32-1	Home Record	2-38-1
4-36-1	Home Record	2-39-0
0-10-0	Last 10 Games	1-9-0
2.21	Goals Per Game	1.49
6.76	Goals Against Per Game	7.29
5.61%	Power Play Percentage	8.84%
68.28%	Penalty Kill Percentage	68.50%

Team Leaders

Team Stats
Goals For 122 1.49 GFG	Shots For 1386 16.90 Avg	Power Play Percentage 8.8% 22 GF	Offensive Zone Start 25.8%
Goals Against 598 7.29 GAA	Shots Against 3990 48.66 Avg	Penalty Kill Percentage 68.5%% 40 GA	Defensive Zone Start 47.2%

Team Info
	General Manager	Jeff Ducksworthy
	Coach	Craig Berube
	Division	Pacific Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,902
	Season Tickets	0
Roster Info
	Pro Team	10
	Farm Team	19
	Contract Limit	29 / 51
	Prospects	41
Team History
	This Season	4-77-1 (9PTS)
	History	0-0-0


	Stanley Cup	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

#	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	TA	SP	Age	Contract	Salary
1	Marc Gatcomb (R)	X	X	X		100.00	99	61	90	72	74	55	91	58	37	53	72	60	25	47	47	70	50	62		0	26	1	775,000$
2	Noah Philp (R)	X				100.00	75	44	95	78	74	53	85	55	67	61	55	60	25	45	45	62	50	60		0	27	1	775,000$
3	James Malatesta (R)		X			100.00	67	67	67	71	67	60	62	55	50	47	58	59	55	45	45	59	50	57		0	22	2	1,400,009$
4	Jayden Struble				X	100.00	87	68	74	76	75	65	75	59	25	54	48	70	25	57	57	61	50	65		0	24	1	925,000$
5	Mikko Kokkonen				X	100.00	77	73	86	65	73	61	65	49	25	41	41	62	39	44	44	53	50	58		0	25	1	846,667$
6	Dysin Mayo				X	100.00	68	70	63	65	70	68	73	51	25	39	48	58	46	44	44	54	50	57		0	29	1	985,000$
7	Filip Kral				X	100.00	74	69	85	66	69	53	53	54	25	49	45	62	43	44	44	55	50	57		0	26	1	775,000$
8	Lucas Johansen				X	100.00	72	69	78	66	69	56	58	49	25	44	39	59	37	44	45	52	50	56		0	28	1	775,000$
9	Xavier Bernard				X	100.00	79	80	78	61	80	41	40	45	25	36	39	62	37	44	44	50	50	54	N	0	26	1	775,000$
Scratches

	TEAM AVERAGE					100.00	78	67	80	69	72	57	67	53	34	47	49	61	37	46	46	57	50	58

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	Yaniv Perets (R)	100.00	46	50	63	68	45	91	45	50	90	81	45	44	44	62	50	61	0	26	2	805,000$
Scratches

	TEAM AVERAGE	100.00	46	50	63	68	45	91	45	50	90	81	45	44	44	62	50	61

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Craig Berube	83	80	84	86	87	81	60	CAN	58	2	700,000$

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	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
1	Jonathan Quick	Ducks	12	7	2	1	0.890	1.51	675	0	3	17	154	0	1	0	0.750	4	10	61	0	0	0
Team Total or Average			12	7	2	1	0.890	1.51	675	0	3	17	154	0	1	0		4	10	61	0	0	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

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 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
Dysin Mayo	Gulls (ANH)	D	29	1996-08-17	CAN	No	190 Lbs	6 ft0	No	No	Free Agent		No	Yes	1	2024-06-24	False	False	Pro & Farm	985,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Filip Kral	Gulls (ANH)	D	26	1999-10-08	CZE	No	172 Lbs	6 ft5	No	No	Assign Manually		No	Yes	1	2025-08-19	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
James Malatesta	Gulls (ANH)	LW	22	2003-05-31	CAN	Yes	193 Lbs	5 ft9	No	No	Trade	2025-08-09	No	No	2	2024-08-04	False	False	Pro & Farm	1,400,009$	0$	0$	No	1,400,009$	-	-	-	-	-	-	-	-	1,400,009$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jayden Struble	Gulls (ANH)	D	24	2001-09-08	USA	No	207 Lbs	6 ft0	No	No	Trade	2025-08-02	No	No	1	2024-03-29	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Lucas Johansen	Gulls (ANH)	D	28	1997-11-16	CAN	No	181 Lbs	6 ft2	No	No	Free Agent		No	Yes	1	2025-09-05	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Marc Gatcomb	Gulls (ANH)	C/LW/RW	26	1999-07-22	USA	Yes	195 Lbs	6 ft2	No	No	Assign Manually		No	Yes	1	2025-08-19	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mikko Kokkonen	Gulls (ANH)	D	25	2001-01-18	FIN	No	200 Lbs	6 ft0	No	No	N/A		No	Yes	1		False	False	Pro & Farm	846,667$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Noah Philp	Gulls (ANH)	C	27	1998-08-31	CAN	Yes	198 Lbs	6 ft3	No	No	Assign Manually		No	Yes	1	2025-08-19	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Xavier Bernard	Gulls (ANH)	D	26	2000-01-06	QC	No	210 Lbs	6 ft4	Yes	No	Free Agent		No	Yes	1	2025-09-05	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Yaniv Perets	Gulls (ANH)	G	26	2000-03-04	CAN	Yes	181 Lbs	6 ft1	No	No	Trade	2025-08-19	No	Yes	2	2025-06-14	False	False	Pro & Farm	805,000$	0$	0$	No	805,000$	-	-	-	-	-	-	-	-	805,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
10	25.90	193 Lbs	6 ft1	1.20	883,668$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	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	Americans	2	0	2	0	0	0	0	0	0	17	-17	1	0	1	0	0	0	0	0	0	10	-10	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	0	0	0	0	0	51	47	24	0	11	504	443	439	0	97	22	11	14	5	0	0.00%	3	0	100.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
2	Admirals	2	0	2	0	0	0	0	0	4	12	-8	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	4	7	11	0	0	51	47	24	0	39	504	443	439	0	114	35	13	35	8	1	12.50%	4	2	50.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
3	Barracuda	4	0	4	0	0	0	0	0	4	29	-25	2	0	2	0	0	0	0	0	3	17	-14	2	0	2	0	0	0	0	0	1	12	-11	0	0.000	4	8	12	0	0	51	47	24	0	47	504	443	439	0	190	61	22	52	9	1	11.11%	11	2	81.82%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
4	Bears	2	1	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	9	18	27	0	0	51	47	24	0	90	504	443	439	0	91	22	8	25	2	0	0.00%	2	0	100.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
5	Bruins	2	0	2	0	0	0	0	0	0	12	-12	1	0	1	0	0	0	0	0	0	6	-6	1	0	1	0	0	0	0	0	0	6	-6	0	0.000	0	0	0	0	0	51	47	24	0	33	504	443	439	0	104	32	6	24	8	0	0.00%	3	1	66.67%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
6	Canucks	2	0	2	0	0	0	0	0	1	18	-17	1	0	1	0	0	0	0	0	0	10	-10	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	1	2	3	0	0	51	47	24	0	19	504	443	439	0	110	30	8	20	8	0	0.00%	4	1	75.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
7	Checkers	3	0	3	0	0	0	0	0	3	16	-13	1	0	1	0	0	0	0	0	1	6	-5	2	0	2	0	0	0	0	0	2	10	-8	0	0.000	3	6	9	0	0	51	47	24	0	39	504	443	439	0	115	38	12	31	11	1	9.09%	6	1	83.33%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
8	Comets	2	0	2	0	0	0	0	0	1	14	-13	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	0	6	-6	0	0.000	1	2	3	0	0	51	47	24	0	45	504	443	439	0	127	38	6	45	4	0	0.00%	4	2	50.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
9	Condors	4	0	4	0	0	0	0	0	3	20	-17	2	0	2	0	0	0	0	0	2	8	-6	2	0	2	0	0	0	0	0	1	12	-11	0	0.000	3	6	9	0	0	51	47	24	0	53	504	443	439	0	209	53	28	44	12	0	0.00%	6	1	83.33%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
10	Crunch	2	0	2	0	0	0	0	0	4	17	-13	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	4	8	12	0	0	51	47	24	0	30	504	443	439	0	79	24	8	21	11	1	9.09%	3	1	66.67%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
11	Eagles	4	0	4	0	0	0	0	0	4	35	-31	2	0	2	0	0	0	0	0	1	19	-18	2	0	2	0	0	0	0	0	3	16	-13	0	0.000	4	8	12	0	0	51	47	24	0	35	504	443	439	0	180	43	4	34	19	2	10.53%	2	2	0.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
12	Firebirds	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	7	13	20	0	0	51	47	24	0	82	504	443	439	0	106	20	4	45	2	0	0.00%	2	1	50.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
13	Griffins	3	0	3	0	0	0	0	0	3	25	-22	1	0	1	0	0	0	0	0	1	11	-10	2	0	2	0	0	0	0	0	2	14	-12	0	0.000	3	6	9	0	0	51	47	24	0	38	504	443	439	0	157	39	6	54	10	0	0.00%	3	0	100.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
14	Ice Hogs	2	0	2	0	0	0	0	0	8	11	-3	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	8	16	24	0	0	51	47	24	0	92	504	443	439	0	93	33	12	32	3	0	0.00%	6	2	66.67%	1	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
15	Islanders	2	1	1	0	0	0	0	0	10	10	0	1	0	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	5	4	1	2	0.500	10	20	30	0	0	51	47	24	0	106	504	443	439	0	91	30	4	48	6	1	16.67%	1	0	100.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
16	Marlies	2	0	2	0	0	0	0	0	1	15	-14	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	1	2	3	0	0	51	47	24	0	16	504	443	439	0	83	16	6	15	3	0	0.00%	3	2	33.33%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
17	Monsters	3	0	3	0	0	0	0	0	3	24	-21	1	0	1	0	0	0	0	0	1	8	-7	2	0	2	0	0	0	0	0	2	16	-14	0	0.000	3	6	9	0	0	51	47	24	0	29	504	443	439	0	162	25	6	24	11	2	18.18%	3	2	33.33%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
18	Moose	2	0	2	0	0	0	0	0	2	16	-14	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	2	4	6	0	0	51	47	24	0	22	504	443	439	0	87	21	8	24	9	0	0.00%	4	2	50.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
19	Penguins	2	1	1	0	0	0	0	0	9	14	-5	1	0	1	0	0	0	0	0	2	9	-7	1	1	0	0	0	0	0	0	7	5	2	2	0.500	9	18	27	0	0	51	47	24	0	50	504	443	439	0	113	30	12	25	4	1	25.00%	5	0	100.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
20	Phantoms	2	0	2	0	0	0	0	0	0	21	-21	1	0	1	0	0	0	0	0	0	10	-10	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	0	0	0	0	0	51	47	24	0	19	504	443	439	0	112	32	16	14	6	0	0.00%	3	2	33.33%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
21	Reign	4	0	4	0	0	0	0	0	1	31	-30	2	0	2	0	0	0	0	0	1	15	-14	2	0	2	0	0	0	0	0	0	16	-16	0	0.000	1	2	3	0	0	51	47	24	0	39	504	443	439	0	169	62	12	33	11	1	9.09%	5	3	40.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
22	Roadrunners	5	0	4	0	0	1	0	0	15	30	-15	3	0	2	0	0	1	0	0	9	16	-7	2	0	2	0	0	0	0	0	6	14	-8	1	0.100	15	30	45	0	0	51	47	24	0	130	504	443	439	0	237	55	29	75	10	2	20.00%	7	3	57.14%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
23	Rocket	3	0	3	0	0	0	0	0	4	27	-23	2	0	2	0	0	0	0	0	4	16	-12	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	4	8	12	0	0	51	47	24	0	27	504	443	439	0	152	34	10	37	11	0	0.00%	5	1	80.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
24	Senators	2	0	2	0	0	0	0	0	4	15	-11	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	3	11	-8	0	0.000	4	8	12	0	0	51	47	24	0	35	504	443	439	0	81	22	2	15	5	2	40.00%	1	0	100.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
25	Silver Knights	3	0	3	0	0	0	0	0	4	25	-21	2	0	2	0	0	0	0	0	3	14	-11	1	0	1	0	0	0	0	0	1	11	-10	0	0.000	4	8	12	0	0	51	47	24	0	30	504	443	439	0	123	44	14	29	8	1	12.50%	7	3	57.14%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
26	Stars	2	0	2	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	5	10	15	0	0	51	47	24	0	36	504	443	439	0	117	37	2	18	6	2	33.33%	1	0	100.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
27	Thunderbirds	2	0	2	0	0	0	0	0	9	14	-5	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	5	9	-4	0	0.000	9	17	26	0	0	51	47	24	0	82	504	443	439	0	78	26	6	44	7	1	14.29%	3	1	66.67%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
28	Wild	2	0	2	0	0	0	0	0	0	18	-18	1	0	1	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	0	0	0	0	0	51	47	24	0	7	504	443	439	0	118	33	8	21	3	0	0.00%	4	1	75.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
29	Wolf Pack	2	0	2	0	0	0	0	0	1	19	-18	1	0	1	0	0	0	0	0	0	9	-9	1	0	1	0	0	0	0	0	1	10	-9	0	0.000	1	2	3	0	0	51	47	24	0	20	504	443	439	0	111	31	2	15	8	1	12.50%	1	0	100.00%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
30	Wolves	2	0	2	0	0	0	0	0	0	12	-12	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	0	0	0	0	0	51	47	24	0	23	504	443	439	0	94	28	8	24	3	0	0.00%	3	2	33.33%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
31	Wranglers	6	0	6	0	0	0	0	0	3	53	-50	3	0	3	0	0	0	0	0	1	25	-24	3	0	3	0	0	0	0	0	2	28	-26	0	0.000	3	6	9	0	0	51	47	24	0	62	504	443	439	0	290	81	24	72	26	2	7.69%	12	2	83.33%	0	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
	Total	82	4	77	0	0	1	0	0	122	598	-476	41	2	38	0	0	1	0	0	61	296	-235	41	2	39	0	0	0	0	0	61	302	-241	9	0.055	122	241	363	0	0	51	47	24	0	1386	504	443	439	0	3990	1097	317	1009	249	22	8.84%	127	40	68.50%	1	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
	_Since Last GM Reset	82	4	77	0	0	1	0	0	122	598	-476	41	2	38	0	0	1	0	0	61	296	-235	41	2	39	0	0	0	0	0	61	302	-241	9	0.055	122	241	363	0	0	51	47	24	0	1386	504	443	439	0	3990	1097	317	1009	249	22	8.84%	127	40	68.50%	1	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276
	_Vs Conference	46	1	44	0	0	1	0	0	69	330	-261	24	1	22	0	0	1	0	0	36	171	-135	22	0	22	0	0	0	0	0	33	159	-126	3	0.033	69	135	204	0	0	51	47	24	0	767	504	443	439	0	2208	626	197	572	138	13	9.42%	77	25	67.53%	1	403	1329	30.32%	582	2431	23.94%	323	1385	23.32%	874	561	3220	589	826	276

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	9	W1	122	241	363	1386	3990	1097	317	1009	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	4	77	0	1	0	0	122	598

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	2	38	0	1	0	0	61	296

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	2	39	0	0	0	0	61	302

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
249	22	8.84%	127	40	68.50%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
504	443	439	0	51	47	24	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
403	1329	30.32%	582	2431	23.94%	323	1385	23.32%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
874	561	3220	589	826	276

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	Link
1	4	Gulls	0	Wranglers	9	L		BoxScore
3	20	Wranglers	9	Gulls	0	L		BoxScore
6	44	Reign	6	Gulls	0	L		BoxScore
8	57	Gulls	1	Monsters	6	L		BoxScore
10	74	Roadrunners	5	Gulls	4	L	X	BoxScore
14	101	Silver Knights	5	Gulls	1	L		BoxScore
16	109	Gulls	1	Griffins	5	L		BoxScore
19	133	Barracuda	7	Gulls	1	L		BoxScore
22	157	Gulls	1	Eagles	6	L		BoxScore
23	166	Eagles	7	Gulls	0	L		BoxScore
27	190	Gulls	0	Checkers	4	L		BoxScore
28	199	Rocket	7	Gulls	4	L		BoxScore
30	215	Gulls	0	Reign	7	L		BoxScore
32	229	Roadrunners	6	Gulls	2	L		BoxScore
36	256	Gulls	4	Roadrunners	7	L		BoxScore
37	261	Condors	2	Gulls	1	L		BoxScore
40	282	Gulls	2	Checkers	6	L		BoxScore
41	293	Wolves	5	Gulls	0	L		BoxScore
44	318	Gulls	0	Rocket	11	L		BoxScore
45	325	Reign	9	Gulls	1	L		BoxScore
48	343	Gulls	2	Admirals	5	L		BoxScore
50	358	Islanders	6	Gulls	5	L		BoxScore
53	381	Gulls	5	Islanders	4	W		BoxScore
55	390	Ice Hogs	6	Gulls	4	L		BoxScore
57	407	Gulls	7	Penguins	5	W		BoxScore
59	423	Canucks	10	Gulls	0	L		BoxScore
61	442	Gulls	0	Reign	9	L		BoxScore
62	454	Checkers	6	Gulls	1	L		BoxScore
67	483	Gulls	3	Stars	5	L		BoxScore
68	489	Eagles	12	Gulls	1	L		BoxScore
71	515	Barracuda	10	Gulls	2	L		BoxScore
73	528	Gulls	1	Canucks	8	L		BoxScore
75	541	Gulls	1	Monsters	10	L		BoxScore
76	551	Wolf Pack	9	Gulls	0	L		BoxScore
79	576	Gulls	1	Silver Knights	11	L		BoxScore
80	583	Thunderbirds	5	Gulls	4	L		BoxScore
83	603	Gulls	4	Ice Hogs	5	L		BoxScore
85	615	Phantoms	10	Gulls	0	L		BoxScore
87	633	Gulls	0	Phantoms	11	L		BoxScore
89	642	Gulls	3	Bears	5	L		BoxScore
90	654	Admirals	7	Gulls	2	L		BoxScore
93	677	Griffins	11	Gulls	1	L		BoxScore
95	693	Gulls	3	Senators	11	L		BoxScore
97	709	Bruins	6	Gulls	0	L		BoxScore
99	724	Gulls	2	Roadrunners	7	L		BoxScore
101	741	Rocket	9	Gulls	0	L		BoxScore
102	752	Gulls	2	Eagles	10	L		BoxScore
105	771	Gulls	2	Crunch	8	L		BoxScore
107	780	Stars	7	Gulls	2	L		BoxScore
109	797	Gulls	5	Thunderbirds	9	L		BoxScore
111	810	Wild	11	Gulls	0	L		BoxScore
113	820	Gulls	0	Wild	7	L		BoxScore
115	838	Gulls	1	Wranglers	11	L		BoxScore
116	848	Gulls	1	Wolf Pack	10	L		BoxScore
118	858	Americans	10	Gulls	0	L		BoxScore
121	877	Gulls	1	Moose	7	L		BoxScore
122	887	Comets	8	Gulls	1	L		BoxScore
124	901	Gulls	4	Firebirds	5	L		BoxScore
126	918	Crunch	9	Gulls	2	L		BoxScore
129	935	Gulls	0	Marlies	11	L		BoxScore
131	948	Condors	6	Gulls	1	L		BoxScore
134	973	Monsters	8	Gulls	1	L		BoxScore
136	988	Gulls	0	Comets	6	L		BoxScore
137	998	Gulls	1	Wranglers	8	L		BoxScore
140	1013	Gulls	0	Americans	7	L		BoxScore
141	1020	Firebirds	2	Gulls	3	W		BoxScore
145	1045	Senators	4	Gulls	1	L		BoxScore
148	1069	Wranglers	7	Gulls	0	L		BoxScore
151	1096	Wranglers	9	Gulls	1	L		BoxScore
154	1114	Gulls	0	Wolves	7	L		BoxScore
155	1125	Gulls	1	Barracuda	7	L		BoxScore
157	1138	Penguins	9	Gulls	2	L		BoxScore
160	1161	Gulls	1	Griffins	9	L		BoxScore
162	1172	Marlies	4	Gulls	1	L		BoxScore
164	1188	Gulls	0	Barracuda	5	L		BoxScore
166	1201	Roadrunners	5	Gulls	3	L		BoxScore
170	1230	Moose	9	Gulls	1	L		BoxScore
171	1241	Gulls	0	Condors	6	L		BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
173	1257	Gulls	0	Bruins	6	L		BoxScore
174	1266	Silver Knights	9	Gulls	2	L		BoxScore
177	1286	Gulls	1	Condors	6	L		BoxScore
180	1299	Bears	4	Gulls	6	W		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	40	0
Attendance	80,222	38,772
Attendance PCT	97.83%	94.57%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2902 - 96.74%	77,789$	3,189,345$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,658,671$	883,668$	883,668$	700,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
4,803$	958,712$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	8,607$	0$

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

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

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

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

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

	Gulls
	GP: 82 \| W: 4 \| L: 77 \| OTL: 1 \| P: 9 GF: 122 \| GA: 598 \| PP%: 8.84% \| PK%: 68.50% GM : Jeff Ducksworthy \| Morale : 50 \| Team Overall : 59