Ducks
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	Gulls 9-8-1, 19pts	0	FINAL	4	Americans 14-3-1, 29pts

Team Stats
L2	Streak	SOL1
4-5-0	Home Record	6-2-1
5-3-1	Away Record	8-1-0
5-4-1	Last 10 Games	7-2-1
3.06	Goals Per Game	4.89
3.72	Goals Against Per Game	1.78
8.33%	Power Play Percentage	17.33%
86.67%	Penalty Kill Percentage	89.36%

Silver Knights
16-2-0, 32pts

FINAL

Gulls
9-8-1, 19pts

Team Stats
W5	Streak	L2
9-0-0	Home Record	4-5-0
7-2-0	Away Record	5-3-1
9-1-0	Last 10 Games	5-4-1
4.50	Goals Per Game	3.06
1.44	Goals Against Per Game	3.72
23.91%	Power Play Percentage	8.33%
90.38%	Penalty Kill Percentage	86.67%

Team Leaders
	Goals Olle Lycksell 11	Assists Olle Lycksell 3

	Points Olle Lycksell 14	Plus/Minus Olle Lycksell 3

	Wins Spencer Martin 9	Save Percentage Spencer Martin 0.918

Team Stats
Goals For 55 3.06 GFG	Shots For 621 34.50 Avg	Power Play Percentage 8.3% 4 GF	Offensive Zone Start 30.5%
Goals Against 67 3.72 GAA	Shots Against 781 43.39 Avg	Penalty Kill Percentage 86.7%% 4 GA	Defensive Zone Start 49.6%

Team Info
	General Manager	Jeff Ducksworthy
	Coach	Don Granato
	Division	Pacific Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	7
	Farm Team	19
	Contract Limit	26 / 50
	Prospects	32
Team History
	This Season	9-8-1 (19PTS)
	History	51-20-3 (0.689%)
	Playoff Appearances	1
	Playoff Record (W-L)	1-4
	Stanley Cup	0

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	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	Mathias Emilio Pettersen	X			100.00	69	63	82	63	63	75	79	60	75	60	56	61	53	44	44	62	50	60	0	24	1	925,000$
2	Olle Lycksell		X		100.00	59	40	89	65	60	55	74	66	37	67	57	57	25	46	46	61	50	59	0	25	2	797,500$
3	Dysin Mayo			X	100.00	68	68	67	65	68	72	78	52	25	45	41	62	39	60	60	54	50	60	0	28	2	985,000$
4	Lucas Johansen			X	100.00	74	66	91	69	66	55	56	54	25	51	42	62	40	45	45	55	50	58	0	26	1	900,000$
5	Mikko Kokkonen (R)			X	100.00	76	72	86	65	72	63	67	48	25	40	41	61	39	44	44	53	50	58	0	23	2	846,667$
6	Xavier Bernard (R)			X	100.00	78	77	80	69	77	54	57	43	25	30	40	61	38	44	44	50	50	56	0	24	1	750,000$
Scratches

	TEAM AVERAGE				100.00	71	64	83	66	68	62	69	54	35	49	46	61	39	47	47	56	50	59

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Spencer Martin	100.00	60	61	59	81	65	54	69	62	65	60	91	50	50	62	50	62	0	29	2	1,000,000$
Scratches

	TEAM AVERAGE	100.00	60	61	59	81	65	54	69	62	65	60	91	50	50	62	50	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Don Granato	71	72	71	81	80	74	69	USA	54	2	925,000$

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	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
1	Olle Lycksell	Gulls (ANH)	RW	10	11	3	14	3	6	0	24	28	67	15	44	16.42%	29	200	20.05	1	1	2	4	17	0	0	0	0	11	2	0	50.00%	12	0	0	0	2	1.40	0	0	0	0	0	1	0	0
Team Total or Average				10	11	3	14	3	6	0	24	28	67	15	44	16.42%	29	200	20.05	1	1	2	4	17	0	0	0	0	11	2	0	50.00%	12	0	0	0	2	1.40	0	0	0	0	0	1	0	0

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Spencer Martin	Gulls (ANH)	18	9	8	1	0.918	3.47	1021	4	1	59	721	0	0	0	0.00%	0	18	18	1	1	0
Team Total or Average			18	9	8	1	0.918	3.47	1021	4	1	59	721	0	0	0		0	18	18	1	1	0

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Link
Dysin Mayo	Gulls (ANH)	D	28	1996-08-17	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	985,000$	985,000$	0$	0$	No	985,000$	Link / NHL Link
Lucas Johansen	Gulls (ANH)	D	26	1997-11-16	No	176 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	0$	No		Link
Mathias Emilio Pettersen	Gulls (ANH)	C	24	2000-03-04	No	175 Lbs	5 ft10	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No		Link
Mikko Kokkonen	Gulls (ANH)	D	23	2001-01-18	Yes	200 Lbs	5 ft11	No	No	No	2	Pro & Farm	846,667$	846,667$	0$	0$	No	846,667$	Link
Olle Lycksell	Gulls (ANH)	RW	25	1999-08-24	No	165 Lbs	5 ft10	No	No	No	2	Pro & Farm	797,500$	797,500$	0$	0$	No	797,500$	Link
Spencer Martin	Gulls (ANH)	G	29	1995-06-08	No	205 Lbs	6 ft3	Yes	No	No	2	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No	1,000,000$	Link / NHL Link
Xavier Bernard	Gulls (ANH)	D	24	2000-01-06	Yes	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No		Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
7	25.57	187 Lbs	6 ft0	1.57	886,310$

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 : Spencer Martin

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	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	2	9	-7	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	2	3	5	0	0	32	17	6	0	22	213	220	187	1	116	29	14	23	8	0	0.00%	3	0	100.00%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
2	Admirals	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	1	5	4	1.000	9	18	27	0	0	32	17	6	0	92	213	220	187	1	76	19	8	50	10	2	20.00%	3	0	100.00%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
3	Firebirds	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	15	23	0	1	32	17	6	0	105	213	220	187	1	73	19	8	42	4	0	0.00%	3	0	100.00%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
4	Ice Hogs	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	1	3	4	1.000	11	22	33	0	0	32	17	6	0	131	213	220	187	1	66	25	6	56	3	0	0.00%	2	0	100.00%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
5	Moose	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	3	6	9	0	0	32	17	6	0	28	213	220	187	1	85	25	6	18	8	0	0.00%	3	1	66.67%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
6	Silver Knights	2	0	1	0	0	1	0	0	2	7	-5	1	0	1	0	0	0	0	0	0	4	-4	1	0	0	0	0	1	0	0	2	3	-1	1	0.250	2	4	6	0	0	32	17	6	0	31	213	220	187	1	75	17	10	14	3	0	0.00%	5	2	60.00%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
7	Stars	2	0	2	0	0	0	0	0	1	14	-13	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	0	8	-8	0	0.000	1	1	2	0	0	32	17	6	0	40	213	220	187	1	125	40	8	25	6	0	0.00%	4	1	75.00%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
8	Thunderbirds	2	2	0	0	0	0	0	0	14	6	8	1	1	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	5	3	2	4	1.000	14	28	42	0	0	32	17	6	0	138	213	220	187	1	67	18	6	56	2	0	0.00%	3	0	100.00%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
9	Wild	2	1	1	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	2	8	-6	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	10	15	0	0	32	17	6	0	34	213	220	187	1	98	39	8	18	4	2	50.00%	4	0	100.00%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
	Total	18	9	8	0	0	1	0	0	55	67	-12	9	4	5	0	0	0	0	0	29	36	-7	9	5	3	0	0	1	0	0	26	31	-5	19	0.528	55	107	162	0	1	32	17	6	0	621	213	220	187	1	781	231	74	302	48	4	8.33%	30	4	86.67%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
	_Since Last GM Reset	18	9	8	0	0	1	0	0	55	67	-12	9	4	5	0	0	0	0	0	29	36	-7	9	5	3	0	0	1	0	0	26	31	-5	19	0.528	55	107	162	0	1	32	17	6	0	621	213	220	187	1	781	231	74	302	48	4	8.33%	30	4	86.67%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79
	_Vs Conference	18	9	8	0	0	1	0	0	55	67	-12	9	4	5	0	0	0	0	0	29	36	-7	9	5	3	0	0	1	0	0	26	31	-5	19	0.528	55	107	162	0	1	32	17	6	0	621	213	220	187	1	781	231	74	302	48	4	8.33%	30	4	86.67%	0	154	428	35.98%	203	697	29.12%	93	279	33.33%	309	222	587	122	185	79

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	19	L2	55	107	162	621	781	231	74	302	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	9	8	0	1	0	0	55	67

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	4	5	0	0	0	0	29	36

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	5	3	0	1	0	0	26	31

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	4	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
48	4	8.33%	30	4	86.67%	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
213	220	187	1	32	17	6	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
154	428	35.98%	203	697	29.12%	93	279	33.33%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
309	222	587	122	185	79

Last Played Games Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
1 - 2024-09-23	4	Gulls	4	Ice Hogs	1	AW		BoxScore
2 - 2024-09-24	19	Gulls	0	Stars	8	AL		BoxScore
3 - 2024-09-25	32	Moose	4	Gulls	2	BL		BoxScore
4 - 2024-09-26	49	Gulls	5	Firebirds	3	AW		BoxScore
6 - 2024-09-28	59	Stars	6	Gulls	1	BL		BoxScore
7 - 2024-09-29	81	Americans	5	Gulls	2	BL		BoxScore
9 - 2024-10-01	101	Gulls	3	Wild	2	AW		BoxScore
10 - 2024-10-02	116	Thunderbirds	3	Gulls	9	BW		BoxScore
11 - 2024-10-03	134	Admirals	2	Gulls	3	BW		BoxScore
12 - 2024-10-04	140	Gulls	2	Silver Knights	3	AL	X	BoxScore
13 - 2024-10-05	159	Gulls	5	Thunderbirds	3	AW		BoxScore
15 - 2024-10-07	178	Gulls	1	Moose	6	AL		BoxScore
16 - 2024-10-08	187	Ice Hogs	4	Gulls	7	BW		BoxScore
17 - 2024-10-09	211	Wild	8	Gulls	2	BL		BoxScore
19 - 2024-10-11	233	Gulls	6	Admirals	1	AW		BoxScore
21 - 2024-10-13	248	Firebirds	0	Gulls	3	BW		BoxScore
22 - 2024-10-14	253	Gulls	0	Americans	4	AL		BoxScore
24 - 2024-10-16	274	Silver Knights	4	Gulls	0	BL		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	0
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	620,417$	620,417$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	0$	0$

Gulls Stat Leaders (Regular Season)

Show or Hide Column

#	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	Olle Lycksell	72	70	90	160	105	30	85	164	409	17.11%	42	1507	20.94	11	20	31	59	0	0	0	12	9	1	59.43	7	2.12	2	2
2	Mathias Emilio Pettersen	72	79	80	159	107	61	132	242	459	17.21%	38	1560	21.67	13	15	28	50	0	0	0	10	17	1	71.35	10	2.04	1	2
3	Justin Danforth	72	103	26	129	62	80	195	235	549	18.76%	75	1403	19.50	15	12	27	89	0	1	1	4	13	3	65.82	15	1.84	0	0
4	Xavier Bernard	72	19	68	87	54	116	156	74	214	8.88%	64	1247	17.32	7	10	17	114	0	0	0	1	2	0	71.43	0	1.40	0	0
5	Martin Pospisil	72	65	12	77	28	74	167	182	400	16.25%	90	1284	17.84	5	0	5	19	1	0	1	7	5	2	63.29	8	1.20	0	0

Gulls Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Michael Hutchinson	72	51	20	1	0.910	2.09	4162	6	13	145	1609	0	7	0	1.000	5
2	Spencer Martin	5	0	0	0	0.904	2.36	178	0	0	7	73	0	1	0	0.00%	0

Gulls Career Team Stats

Show or Hide Column

	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
2023	72	46	20	0	3	1	2	0	372	152	220	36	22	10	0	3	0	1	0	191	87	104	36	24	10	0	0	1	1	0	181	65	116	103	372	561	933	0	13	163	127	77	6	2699	857	907	925	14	1682	494	568	1074	291	63	21.65%	228	32	85.96%	1	1402	2044	68.59%	1098	1841	59.64%	740	1137	65.08%	1928	1480	1631	443	782	399
Total Regular Season	72	46	20	0	3	1	2	0	372	152	220	36	22	10	0	3	0	1	0	191	87	104	36	24	10	0	0	1	1	0	181	65	116	103	372	561	933	0	13	163	127	77	6	2699	857	907	925	14	1682	494	568	1074	291	63	21.65%	228	32	85.96%	1	1402	2044	68.59%	1098	1841	59.64%	740	1137	65.08%	1928	1480	1631	443	782	399
Playoff
2021	5	1	4	0	0	0	0	0	12	20	-8	3	1	2	0	0	0	0	0	7	12	-5	2	0	2	0	0	0	0	0	5	8	-3	2	12	21	33	0	0	6	3	2	1	146	43	54	48	1	145	34	55	105	26	3	11.54%	24	3	87.50%	1	81	156	51.92%	63	130	48.46%	40	85	47.06%	128	91	116	32	58	30
Total Playoff	5	1	4	0	0	0	0	0	12	20	-8	3	1	2	0	0	0	0	0	7	12	-5	2	0	2	0	0	0	0	0	5	8	-3	2	12	21	33	0	0	6	3	2	1	146	43	54	48	1	145	34	55	105	26	3	11.54%	24	3	87.50%	1	81	156	51.92%	63	130	48.46%	40	85	47.06%	128	91	116	32	58	30

Gulls Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKA	PKP	PKS	GW	FO%	P/20
1	Trent Frederic	5	4	3	7	-1	12	17	14	21	19.05%	3	97	19.49	1	2	3	5	0	0	1	1	45.76	1.44
2	Matthew Peca	5	0	5	5	-1	0	1	6	16	0.00%	3	102	20.53	0	2	2	2	0	0	0	0	45.00	0.97
3	Eetu Tuulola	5	2	2	4	-1	2	6	2	5	40.00%	1	90	18.17	1	1	2	2	0	0	0	0	66.67	0.88
4	Ryan MacInnis	5	1	2	3	-5	0	5	9	16	6.25%	3	81	16.33	0	0	0	0	0	0	0	0	73.33	0.73
5	Alex Alexeyev	5	0	3	3	-3	2	9	4	4	0.00%	4	103	20.71	0	1	1	2	1	1	0	0	0.00%	0.58

Gulls Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Mason McDonald	5	1	4	0	0.860	3.90	277	0	0	18	129	0	0	0	0.00%	0
2	Ian Scott	1	0	0	0	0.875	4.62	26	0	0	2	16	0	0	0	0.00%	0

	Gulls
	GP: 18 \| W: 9 \| L: 8 \| OTL: 1 \| P: 19 GF: 55 \| GA: 67 \| PP%: 8.33% \| PK%: 86.67% GM : Jeff Ducksworthy \| Morale : 50 \| Team Overall : 59