He Shoots He Scores FHL

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

Gulls
0-0-0, 0pts

2021-09-15

Bruins
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
nan	Goals Per Game	nan
nan	Goals Against Per Game	nan
nan%	Power Play Percentage	nan%
nan%	Penalty Kill Percentage	nan%

Bruins
0-0-0, 0pts

2021-09-16

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
nan	Goals Per Game	nan
nan	Goals Against Per Game	nan
nan%	Power Play Percentage	nan%
nan%	Penalty Kill Percentage	nan%

Condors
0-0-0, 0pts

2021-09-18

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
nan	Goals Per Game	nan
nan	Goals Against Per Game	nan
nan%	Power Play Percentage	nan%
nan%	Penalty Kill Percentage	nan%

Team Leaders

Team Stats
Goals For 0 nan GFG	Shots For 0 nan Avg	Power Play Percentage nan% 0 GF	Offensive Zone Start nan%
Goals Against 0 nan GAA	Shots Against 0 nan Avg	Penalty Kill Percentage nan% 0 GA	Defensive Zone Start nan%

Team Info
	General Manager	Roger Storoschuk
	Coach	David Quinn
	Division	Division 1
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	nan
	Season Tickets	1,500
Roster Info
	Pro Team	22
	Farm Team	18
	Contract Limit	40 / 100
	Prospects	45
Team History
	This Season	0-0-0 (0PTS)
	History	44-37-10 (0.484%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	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	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	Alex Galchenyuk	X	X			100.00	78	44	83	77	71	63	76	64	44	69	68	58	60	74	76	67	47	65	0	27	3	2,100,000$
2	Jake Debrusk		X	X		100.00	71	42	94	82	68	68	80	65	37	67	62	62	45	64	67	66	44	65	0	24	2	2,615,000$
3	Taylor Raddysh	X		X		100.00	82	80	88	63	80	68	68	68	80	65	68	69	65	44	44	69	47	64	0	23	1	776,895$
4	Ondrej Kase			X		100.00	56	39	86	86	70	70	34	69	31	71	61	59	75	59	60	57	47	63	0	25	1	1,452,000$
5	Michael Amadio	X				100.00	61	42	94	73	74	63	71	67	78	61	55	59	25	59	60	59	47	61	0	25	2	945,000$
6	John Leonard (R)		X	X		100.00	67	42	98	72	66	58	67	66	25	68	58	59	25	48	48	62	50	60	0	23	3	925,000$
7	Keegan Kolesar	X	X	X		100.00	89	46	80	65	79	54	66	57	52	68	58	54	25	50	50	62	47	59	0	24	3	900,000$
8	Rhett Gardner	X	X			100.00	84	46	90	68	83	55	71	58	53	54	56	65	25	47	47	61	47	59	0	25	1	750,000$
9	Karson Kuhlman			X		100.00	79	44	99	65	67	57	50	55	44	50	59	64	25	50	51	61	47	57	0	25	1	1,047,000$
10	Arnaud Durandeau		X			100.00	72	67	83	67	67	53	52	60	50	56	60	62	57	44	44	62	47	57	0	22	2	750,000$
11	Michael McCarron	X		X		100.00	74	84	50	65	88	58	55	56	70	48	59	63	25	50	50	59	47	57	0	26	1	1,273,000$
12	Serron Noel (R)			X		100.00	75	82	57	63	82	53	53	57	50	59	51	63	48	44	44	57	50	57	0	21	3	952,022$
13	Brandon Coe (R)			X		100.00	79	74	89	63	74	59	61	51	50	52	46	63	44	44	44	56	50	55	0	19	3	980,159$
14	Cole Schwindt (R)			X		100.00	70	69	72	63	69	55	57	49	50	45	47	58	45	44	44	52	50	53	0	20	3	843,037$
15	Kale Clague				X	100.00	65	41	92	71	65	71	74	66	25	65	47	69	25	46	46	58	47	63	0	23	1	750,000$
16	Keaton Middleton				X	100.00	89	88	91	61	88	57	59	49	25	44	39	68	37	44	44	54	47	60	0	23	1	892,066$
17	Jack Dougherty				X	100.00	76	69	92	63	69	62	67	47	25	39	39	62	37	49	49	52	47	57	0	25	2	1,097,000$
18	Joel Messner (R)				X	100.00	78	76	82	60	76	57	60	46	25	36	41	62	39	44	44	52	50	56	0	27	3	810,249$
Scratches

	TEAM AVERAGE					100.00	75	60	84	68	74	60	62	58	45	57	54	62	40	50	51	59	48	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
1	Will Cranley (R)	100.00	60	46	58	78	61	57	70	70	65	66	30	44	44	62	50	61	0
2	Zach Sawchenko (R)	100.00	58	50	63	70	62	59	56	63	60	59	30	44	44	58	47	58	0
Scratches
1	Mikhail Berdin	100.00	54	73	91	63	49	55	51	59	50	50	30	44	44	55	47	55	0
2	Joey Daccord (R)	100.00	46	55	69	77	42	45	50	53	45	46	30	44	44	48	50	51	0

	TEAM AVERAGE	100.00	55	56	70	72	54	54	57	61	55	55	30	44	44	56	49	56

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
David Quinn	93	66	68	55	65	46	66	USA	53	3	2,500,000$

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

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

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	Salary Year 3	Link
Alex Galchenyuk	Gulls (ANA)	C/LW	27	2/11/1994	No	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	2,100,000$	2,100,000$	0$	0$	No	2,100,000$	2,100,000$	Link / NHL Link
Arnaud Durandeau	Gulls (ANA)	LW	22	1/14/1999	No	183 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$		Link
Brandon Coe	Gulls (ANA)	RW	19	12/1/2001	Yes	190 Lbs	6 ft4	No	No	No	3	Pro & Farm	980,159$	980,159$	0$	0$	No	980,159$	980,159$
Cole Schwindt	Gulls (ANA)	RW	20	4/25/2001	Yes	183 Lbs	6 ft2	No	No	No	3	Pro & Farm	843,037$	843,037$	0$	0$	No	843,037$	843,037$
Jack Dougherty	Gulls (ANA)	D	25	5/25/1996	No	186 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,097,000$	1,097,000$	0$	0$	No	1,097,000$		Link / NHL Link
Jake Debrusk	Gulls (ANA)	LW/RW	24	10/17/1996	No	188 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,615,000$	2,615,000$	0$	0$	No	2,615,000$		Link / NHL Link
Joel Messner	Gulls (ANA)	D	27	3/11/1994	Yes	207 Lbs	6 ft2	No	No	No	3	Pro & Farm	810,249$	810,249$	0$	0$	No	810,249$	810,249$
Joey Daccord	Gulls (ANA)	G	25	8/19/1996	Yes	197 Lbs	6 ft2	No	No	No	3	Pro & Farm	875,710$	875,710$	0$	0$	No	875,710$	875,710$	Link
John Leonard	Gulls (ANA)	LW/RW	23	8/7/1998	Yes	183 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$
Kale Clague	Gulls (ANA)	D	23	6/5/1998	No	177 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Karson Kuhlman	Gulls (ANA)	RW	25	9/26/1995	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,047,000$	1,047,000$	0$	0$	No			Link / NHL Link
Keaton Middleton	Gulls (ANA)	D	23	2/10/1998	No	233 Lbs	6 ft6	No	No	No	1	Pro & Farm	892,066$	892,066$	0$	0$	No			Link / NHL Link
Keegan Kolesar	Gulls (ANA)	C/LW/RW	24	4/8/1997	No	217 Lbs	6 ft2	No	No	No	3	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$	900,000$	Link / NHL Link
Michael Amadio	Gulls (ANA)	C	25	5/13/1996	No	204 Lbs	6 ft1	No	No	No	2	Pro & Farm	945,000$	945,000$	0$	0$	No	945,000$		Link / NHL Link
Michael McCarron	Gulls (ANA)	C/RW	26	3/7/1995	No	232 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,273,000$	1,273,000$	0$	0$	No			Link / NHL Link
Mikhail Berdin	Gulls (ANA)	G	23	2/28/1998	No	163 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link
Ondrej Kase	Gulls (ANA)	RW	25	11/8/1995	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,452,000$	1,452,000$	0$	0$	No			Link / NHL Link
Rhett Gardner	Gulls (ANA)	C/LW	25	2/28/1996	No	225 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link
Serron Noel	Gulls (ANA)	RW	21	8/8/2000	Yes	216 Lbs	6 ft5	No	No	No	3	Pro & Farm	952,022$	952,022$	0$	0$	No	952,022$	952,022$
Taylor Raddysh	Gulls (ANA)	C/RW	23	2/18/1998	No	216 Lbs	6 ft3	No	No	No	1	Pro & Farm	776,895$	776,895$	0$	0$	No			Link
Will Cranley	Gulls (ANA)	G	19	2/26/2002	Yes	185 Lbs	6 ft4	No	No	No	3	Pro & Farm	994,336$	994,336$	0$	0$	No	994,336$	994,336$
Zach Sawchenko	Gulls (ANA)	G	23	12/30/1997	Yes	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,125,000$	1,125,000$	0$	0$	No	1,125,000$		Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	23.50	197 Lbs	6 ft2	2.05	1,072,885$

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 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
	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	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	0	0	0.00%

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 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
1 - 2021-09-15	6	Gulls	-	Bruins	-
2 - 2021-09-16	19	Bruins	-	Gulls	-
4 - 2021-09-18	43	Condors	-	Gulls	-
5 - 2021-09-19	52	Gulls	-	Wild	-
7 - 2021-09-21	69	Comets	-	Gulls	-
8 - 2021-09-22	83	Gulls	-	Comets	-
10 - 2021-09-24	107	Wolf Pack	-	Gulls	-
11 - 2021-09-25	120	Gulls	-	Wolf Pack	-
12 - 2021-09-26	129	Gulls	-	Crunch	-
13 - 2021-09-27	143	Crunch	-	Gulls	-
14 - 2021-09-28	161	Gulls	-	Silver Knights	-
16 - 2021-09-30	173	Wild	-	Gulls	-
17 - 2021-10-01	181	Gulls	-	Condors	-
Trade Deadline --- Trades can’t be done after this day is simulated!
21 - 2021-10-05	216	Silver Knights	-	Gulls	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	40	20
Attendance	0.00%	0.00%
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
7	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,360,348$	2,361,448$	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$	22	0$	0$

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
2020	90	35	37	0	7	6	2	3	253	282	-29	45	17	19	0	4	2	1	2	122	144	-22	45	18	18	0	3	4	1	1	131	138	-7	97	253	408	661	4	5	40	97	107	14	1784	344	642	782	34	2106	684	1348	1763	201	64	31.84%	295	84	71.53%	5	740	1395	53.05%	821	1590	51.64%	588	1104	53.26%	1597	622	1686	978	2157	1084
Total Regular Season	90	35	37	0	7	6	2	3	253	282	-29	45	17	19	0	4	2	1	2	122	144	-22	45	18	18	0	3	4	1	1	131	138	-7	97	253	408	661	4	5	40	97	107	14	1784	344	642	782	34	2106	684	1348	1763	201	64	31.84%	295	84	71.53%	5	740	1395	53.05%	821	1590	51.64%	588	1104	53.26%	1597	622	1686	978	2157	1084

	Gulls
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Roger Storoschuk \| Morale : 50 \| Team Overall : 59 Next Games #6 vs Bruins