Ducks
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule

Gulls
0-0-0, 0pts

Day 2

Condors
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Gulls
0-0-0, 0pts

Day 4

Condors
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Condors
0-0-0, 0pts

Day 6

Gulls
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Videoj
	Coach	Ted Nolan
	Division	Pacific Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	0
Roster Info
	Pro Team	25
	Farm Team	21
	Contract Limit	46 / 90
	Prospects	39

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	Graeme Clarke	0			X		100.00	50	39	86	67	77	77	65	63	46	65	67	62	64	50	60	0	75	61	0	23	2	950,000$
2	Jean-Luc Foudy	0	X				100.00	50	39	81	62	78	68	60	60	60	65	64	63	62	50	60	0	76	60	0	22	1	850,000$
3	John Farinacci (R)	0	X				100.00	50	44	75	55	82	60	60	60	40	65	63	62	62	50	60	0	62	58	0	23	2	875,000$
4	Sasha Pastujov (R)	0			X		100.00	50	43	75	56	82	60	60	60	40	63	64	62	62	50	60	0	79	58	0	21	3	875,000$
5	William Dufour	0			X		100.00	50	49	75	51	88	60	60	59	40	62	65	62	63	50	60	0	68	58	0	22	2	875,000$
6	Antonio Stranges	0	X				100.00	50	37	75	60	75	60	60	58	40	62	63	62	62	50	60	0	39	57	0	22	2	875,000$
7	Matvei Petrov (R)	0		X			100.00	50	45	75	52	84	60	60	56	40	60	62	62	61	50	60	0	24	56	0	21	3	875,000$
8	Curtis Hall	0	X				100.00	50	48	75	50	88	60	60	56	40	61	61	62	61	50	60	0	24	56	0	24	2	775,000$
9	Nikita Okhotiuk	0				X	100.00	94	44	80	61	83	78	60	66	20	66	60	74	55	51	64	0	78	66	0	24	1	950,000$
10	Jordan Spence	0				X	100.00	69	40	88	66	78	75	65	77	20	73	61	68	56	53	62	0	70	65	0	23	1	850,000$
11	Simon Edvinsson	0				X	100.00	54	47	93	59	89	82	70	74	20	66	63	70	62	50	60	0	79	64	0	21	2	875,000$
12	Daemon Hunt	0				X	100.00	51	45	87	58	84	71	60	75	20	67	61	67	61	50	60	0	79	62	0	22	2	875,000$
13	Michael Callahan	0				X	100.00	50	44	75	53	84	60	60	72	20	62	61	68	61	50	60	0	76	60	0	25	2	850,000$
14	Jett Woo	0				X	100.00	50	45	75	55	83	60	60	76	20	65	62	68	61	50	60	0	79	60	0	24	2	850,000$
15	Antti Tuomisto (R)	0				X	100.00	50	46	75	52	87	60	60	73	20	62	62	68	61	50	60	0	40	59	0	23	2	875,000$
16	Artem Guryev (R)	0				X	100.00	50	50	75	47	90	60	60	70	20	60	60	68	60	50	60	0	37	58	0	21	3	875,000$
Scratches
1	Mavrik Bourque	0	X				99.00	50	40	86	68	78	76	66	69	52	71	68	60	64	50	60	0	63	63	0	22	2	875,000$
2	Brandon Biro	0	X				100.00	50	38	86	68	76	76	60	63	57	66	67	62	64	50	60	0	26	61	0	26	1	800,000$
3	Jakub Lauko	0	X				100.00	97	49	85	61	82	74	60	57	55	66	60	65	58	53	65	0	58	61	0	24	2	1,000,000$
4	Adam Beckman	0		X			99.00	51	41	84	64	80	74	60	62	40	64	66	61	63	50	60	0	77	60	0	23	1	950,000$
5	Olivier Nadeau (R)	0			X		100.00	50	46	75	51	84	60	60	55	40	60	61	62	61	50	60	0	25	56	0	21	3	775,000$
6	Serron Noel (R)	0			X		100.00	50	49	75	47	90	60	60	52	40	59	59	62	60	50	60	0	24	55	0	24	1	925,000$
7	Jack Matier (R)	0				X	100.00	50	47	75	49	88	60	60	70	20	60	60	68	60	50	60	0	41	59	0	21	3	775,000$

	TEAM AVERAGE						99.91	55	44	80	57	83	67	61	64	35	64	63	65	61	50	60	0	56	60

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	Erik Portillo	0	100.00	70	73	70	90	74	73	71	75	74	71	72	70	68	0	82	72	0	24	1	875,000$
2	Evan Fitzpatrick	0	100.00	45	56	53	87	49	49	48	50	50	46	48	74	70	0	82	55	0	26	1	750,000$
Scratches

	TEAM AVERAGE		100.00	58	65	62	89	62	61	60	63	62	59	60	72	69	0	82	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ted Nolan	75	75	75	75	75	75	75	CAN	67	6	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	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	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
Adam Beckman	Gulls (ANA)	LW	23	2001-05-10	CAN	No	182 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	950,000$	882,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Antonio Stranges	Gulls (ANA)	C	22	2002-02-05	USA	No	168 Lbs	5 ft10	No	No	N/A	No	No	2	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Antti Tuomisto	Gulls (ANA)	D	23	2001-01-20	FIN	Yes	205 Lbs	6 ft5	No	No	N/A	No	No	2	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Artem Guryev	Gulls (ANA)	D	21	2003-05-17	RUS	Yes	220 Lbs	6 ft4	No	No	N/A	No	No	3	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	875,000$	875,000$	-	-	-	-	-	-	-	875,000$	875,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Brandon Biro	Gulls (ANA)	C	26	1998-03-11	CAN	No	170 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	800,000$	742,857$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Curtis Hall	Gulls (ANA)	C	24	2000-04-26	USA	No	210 Lbs	6 ft4	No	No	N/A	No	No	2	False	False	Pro & Farm	775,000$	719,643$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Daemon Hunt	Gulls (ANA)	D	22	2002-05-12	CAN	No	199 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Erik Portillo	Gulls (ANA)	G	24	2000-01-03	SWE	No	225 Lbs	6 ft6	No	No	N/A	No	No	1	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Evan Fitzpatrick (1 Way Contract)	Gulls (ANA)	G	26	1998-01-28	CAN	No	206 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	750,000$	696,429$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Graeme Clarke	Gulls (ANA)	RW	23	2001-04-24	CAN	No	175 Lbs	5 ft11	No	No	N/A	No	No	2	False	False	Pro & Farm	950,000$	882,143$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jack Matier	Gulls (ANA)	D	21	2003-04-08	CAN	Yes	207 Lbs	6 ft5	No	No	N/A	No	No	3	False	False	Pro & Farm	775,000$	719,643$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Jakub Lauko (1 Way Contract)	Gulls (ANA)	C	24	2000-03-28	CZE	No	196 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	1,000,000$	928,571$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jean-Luc Foudy	Gulls (ANA)	C	22	2002-05-13	CAN	No	177 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	850,000$	789,286$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jett Woo	Gulls (ANA)	D	24	2000-07-27	CAN	No	198 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	850,000$	789,286$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
John Farinacci	Gulls (ANA)	C	23	2001-02-14	USA	Yes	197 Lbs	5 ft11	No	No	N/A	No	No	2	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jordan Spence	Gulls (ANA)	D	23	2001-02-24	CAN	No	180 Lbs	5 ft10	No	No	N/A	No	No	1	False	False	Pro & Farm	850,000$	789,286$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matvei Petrov	Gulls (ANA)	LW	21	2003-03-12	RUS	Yes	200 Lbs	6 ft2	No	No	N/A	No	No	3	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	875,000$	875,000$	-	-	-	-	-	-	-	875,000$	875,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Mavrik Bourque	Gulls (ANA)	C	22	2002-01-08	CAN	No	179 Lbs	5 ft10	No	No	N/A	No	No	2	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Michael Callahan	Gulls (ANA)	D	25	1999-09-23	USA	No	196 Lbs	6 ft2	No	No	N/A	No	No	2	False	False	Pro & Farm	850,000$	789,286$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Nikita Okhotiuk	Gulls (ANA)	D	24	2000-12-04	RUS	No	195 Lbs	6 ft1	No	No	N/A	No	No	1	False	False	Pro & Farm	950,000$	882,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Olivier Nadeau	Gulls (ANA)	RW	21	2003-01-15	CAN	Yes	203 Lbs	6 ft1	No	No	N/A	No	No	3	False	False	Pro & Farm	775,000$	719,643$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Sasha Pastujov	Gulls (ANA)	RW	21	2003-07-15	USA	Yes	192 Lbs	6 ft1	No	No	N/A	No	No	3	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	875,000$	875,000$	-	-	-	-	-	-	-	875,000$	875,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Serron Noel	Gulls (ANA)	RW	24	2000-08-08	CAN	Yes	216 Lbs	6 ft5	No	No	N/A	No	No	1	False	False	Pro & Farm	925,000$	858,929$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Simon Edvinsson	Gulls (ANA)	D	21	2003-02-05	SWE	No	209 Lbs	6 ft6	No	No	N/A	No	No	2	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
William Dufour	Gulls (ANA)	RW	22	2002-01-28	CAN	No	215 Lbs	6 ft2	No	No	N/A	No	No	2	False	False	Pro & Farm	875,000$	812,500$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	22.88	197 Lbs	6 ft2	1.88	867,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Graeme Clarke	40	1	2	2
2	Matvei Petrov	Jean-Luc Foudy	William Dufour	30	1	2	2
3		John Farinacci	Sasha Pastujov	20	1	2	2
4	Graeme Clarke	Antonio Stranges		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikita Okhotiuk	Jordan Spence	40	1	2	2
2	Simon Edvinsson	Daemon Hunt	30	1	2	2
3	Jett Woo	Michael Callahan	20	1	2	2
4	Antti Tuomisto	Artem Guryev	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Graeme Clarke	60	1	2	2
2	Matvei Petrov	Jean-Luc Foudy	William Dufour	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikita Okhotiuk	Jordan Spence	60	1	2	2
2	Simon Edvinsson	Daemon Hunt	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Graeme Clarke	60	1	2	2
2		Jean-Luc Foudy	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikita Okhotiuk	Jordan Spence	60	1	2	2
2	Simon Edvinsson	Daemon Hunt	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	Nikita Okhotiuk	Jordan Spence	60	1	2	2
2	Graeme Clarke	40	1	2	2	Simon Edvinsson	Daemon Hunt	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Graeme Clarke	60	1	2	2
2		Jean-Luc Foudy	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikita Okhotiuk	Jordan Spence	60	1	2	2
2	Simon Edvinsson	Daemon Hunt	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Graeme Clarke	Nikita Okhotiuk	Jordan Spence

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Graeme Clarke	Nikita Okhotiuk	Jordan Spence

Extra Forwards
Normal	PowerPlay	Penalty Kill
Curtis Hall, Sasha Pastujov, John Farinacci	Curtis Hall, Sasha Pastujov	John Farinacci

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jett Woo, Michael Callahan, Antti Tuomisto	Jett Woo	Michael Callahan, Antti Tuomisto

Penalty Shots
, Graeme Clarke, , Jean-Luc Foudy, William Dufour

Goalie
#1 : Erik Portillo, #2 : Evan Fitzpatrick

Custom OT Lines Forwards
, Graeme Clarke, , Jean-Luc Foudy, William Dufour, Sasha Pastujov, John Farinacci, Antonio Stranges, Curtis Hall, Matvei Petrov

Custom OT Lines Defensemen
Nikita Okhotiuk, Jordan Spence, Simon Edvinsson, Daemon Hunt, Jett Woo

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0%	0	0	0%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0%	0	0	0%	0	0	0%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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
2	8	Gulls	-	Condors	-
4	16	Gulls	-	Condors	-
6	24	Condors	-	Gulls	-
8	32	Condors	-	Gulls	-
10	40	Gulls	-	Condors	-
12	48	Condors	-	Gulls	-
14	56	Gulls	-	Condors	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0%	0%
Attendance PCT	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	0 - 0%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	1,992,500$	1,992,500$	0$0$

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$	13	0$	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: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Videoj \| Morale : 63 \| Team Overall : 60 Next Games #8 vs Condors