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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`)
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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
1	Shane Wright	X				100.00	66	35	95	77	73	83	89	72	75	71	69	64	73	63	65	89	75	68	0
2	Cole Koepke		X			100.00	83	39	93	69	79	77	86	64	52	60	63	70	62	68	70	41	75	66	0
3	Jansen Harkins	X				100.00	78	43	85	71	77	78	82	65	81	67	66	63	65	71	70	58	75	66	0
4	Jiri Kulich	X	X	X		100.00	66	36	91	73	76	85	74	68	72	60	69	63	67	62	64	80	75	65	0
5	Kyle MacLean (R)	X				100.00	75	41	88	68	75	76	86	62	80	61	60	64	63	67	69	37	75	64	0
6	Marc Gatcomb (R)	X				100.00	88	40	90	66	80	77	86	59	61	57	62	58	63	67	69	37	75	64	0
7	Rory Kerins	X	X			100.00	61	35	91	67	65	85	84	66	68	69	64	61	65	64	66	48	75	64	0
8	Dylan Roobroeck (R)	X				100.00	88	53	72	58	97	80	87	57	60	56	59	64	55	62	64	49	75	62	0
9	Danila Klimovich		X	X		100.00	72	42	73	61	81	95	84	59	60	57	63	61	62	64	65	74	75	62	0
10	Jared Wright (R)			X		100.00	65	37	94	67	73	83	89	58	53	61	55	60	56	64	66	48	75	62	0
11	Ben Steeves (R)		X			100.00	61	55	68	63	62	86	85	62	58	61	60	64	63	65	66	43	75	61	0
12	Xavier Bourgault	X		X		100.00	65	36	89	57	69	84	85	56	60	59	58	55	57	64	66	80	75	60	0
13	Kaedan Korczak				X	100.00	73	37	93	66	85	86	82	62	30	72	55	63	49	65	67	71	75	64	0
14	Ethan Del Mastro				X	100.00	76	39	77	65	88	83	85	64	30	63	55	66	52	63	65	61	75	63	0
15	Lassi Thomson				X	100.00	63	40	74	62	73	82	72	57	30	65	58	59	48	66	68	79	75	61	0
16	Cole Hults				X	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	42	0
17	Joey Laleggia				X	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	42	0
Scratches
1	Jan Mysak	X	X			100.00	58	37	87	61	67	86	83	58	63	60	59	56	61	64	66	70	75	60	0
2	Andrew Oglevie	X				100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	42	0
3	Matej Pekar		X			100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	42	0
4	Ty Rattie			X		100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	42	0
5	Jett Woo				X	S6	66	45	60	58	75	72	80	56	30	57	53	55	46	66	68	73	75	58	0

	TEAM AVERAGE					100.00	64	40	74	60	68	73	74	57	53	57	56	57	55	59	61	56	75	58

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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	Remi Poirier (R)	100.00	78	87	83	82	77	76	78	77	76	78	77	65	73	47	75	66	0
2	Matt Villalta (R)	100.00	76	86	82	81	75	74	76	75	74	76	75	67	77	56	75	65	0
Scratches
1	Garin Bjorklund (R)	100.00	71	74	70	75	70	69	71	70	69	71	70	65	71	48	75	62	0
2	Pekka Rinne	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	45	0
3	Veini Vehvilainen	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	45	0

	TEAM AVERAGE	100.00	61	65	63	64	60	60	61	60	60	61	60	55	60	46	75	57

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ryan Warsofsky	81	76	83	80	57	53	88	USA	38	3	750,000$

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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	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	S1	S2	S3
1	Jiri Kulich	Gulls (ANA)	C/LW/RW	10	8	9	17	12	6	0	7	22	48	17	48	16.67%	3	204	20.47	2	2	4	10	30	1	0	1	1	12	3	58.33%	24	0	1	1.66	0	0	0	4	0	1
2	Jansen Harkins	Gulls (ANA)	C	10	6	9	15	12	8	0	16	36	40	6	21	15.00%	1	190	19.08	1	1	2	8	28	0	0	0	0	19	1	67.45%	255	0	0	1.57	0	1	0	1	2	1
3	Rory Kerins	Gulls (ANA)	C/LW	10	6	7	13	13	0	0	6	25	33	6	14	18.18%	2	201	20.16	0	2	2	4	28	0	0	0	1	27	1	61.54%	13	0	0	1.29	0	0	0	1	1	1
4	Shane Wright	Gulls (ANA)	C	10	4	7	11	1	2	0	8	39	44	13	32	9.09%	2	232	23.24	2	2	4	9	32	0	1	1	1	38	0	62.57%	350	0	0	0.95	1	1	0	1	0	1
5	Danila Klimovich	Gulls (ANA)	LW/RW	10	1	8	9	-1	6	0	3	8	19	8	17	5.26%	1	117	11.78	0	0	0	1	2	0	0	0	0	0	0	40.00%	10	0	0	1.53	0	0	0	0	0	0
6	Marc Gatcomb	Gulls (ANA)	C	10	5	4	9	0	10	0	24	20	29	7	17	17.24%	2	109	10.96	0	0	0	0	0	0	0	0	0	0	1	53.55%	155	0	0	1.64	0	0	0	0	2	0
7	Evgenii Dadonov	Ducks	LW/RW	7	3	5	8	-2	0	0	4	11	40	10	25	7.50%	1	152	21.78	0	1	1	3	19	0	0	0	0	0	0	71.43%	7	1	1	1.05	0	0	0	1	0	0
8	Ethan Del Mastro	Gulls (ANA)	D	10	1	7	8	7	8	0	38	18	14	6	8	7.14%	13	214	21.42	1	0	1	9	28	0	0	0	1	28	0	0.00%	0	0	0	0.75	0	0	0	0	1	1
9	Cole Koepke	Gulls (ANA)	LW	10	4	3	7	-1	8	0	33	19	44	14	26	9.09%	4	225	22.51	1	1	2	7	31	0	0	0	0	36	0	64.29%	14	0	0	0.62	0	1	0	0	0	0
10	Dennis Cholowski	Ducks	D	8	0	7	7	-1	4	0	18	6	8	1	4	0.00%	7	206	25.81	0	2	2	4	21	0	0	0	1	26	0	0.00%	0	0	0	0.68	0	0	0	0	1	0
11	Kaedan Korczak	Gulls (ANA)	D	10	2	5	7	-5	12	0	28	12	10	3	11	20.00%	10	256	25.69	1	1	2	6	31	0	0	0	0	28	0	0.00%	0	0	0	0.55	0	0	0	0	0	0
12	Lassi Thomson	Gulls (ANA)	D	10	2	4	6	7	4	0	8	8	8	3	6	25.00%	13	217	21.75	0	2	2	4	28	0	0	0	1	30	1	0.00%	0	0	0	0.55	0	0	0	0	0	0
13	Xavier Bourgault	Gulls (ANA)	C/RW	10	3	2	5	-2	0	0	3	12	15	3	13	20.00%	4	143	14.33	0	0	0	0	0	0	0	0	0	0	0	16.67%	6	0	0	0.70	0	0	0	0	0	1
14	Ben Steeves	Gulls (ANA)	LW	10	0	1	1	-1	7	5	5	8	10	5	11	0.00%	3	80	8.10	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0.25	0	0	1	0	0	0
15	Cole Hults	Gulls (ANA)	D	10	1	0	1	8	2	0	13	0	2	0	0	50.00%	7	133	13.36	0	0	0	0	1	0	0	0	0	10	0	0.00%	0	0	0	0.15	0	0	0	0	0	1
16	Kyle MacLean	Gulls (ANA)	C	10	0	1	1	0	2	0	4	19	6	3	5	0.00%	2	65	6.59	0	0	0	0	0	0	0	0	0	2	0	70.67%	75	0	0	0.30	0	1	0	0	0	0
17	Jan Mysak	Gulls (ANA)	C/LW	1	1	0	1	2	0	0	0	1	1	0	0	100.00%	0	4	4.60	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	4.35	0	0	0	0	0	0
18	Dylan Roobroeck	Gulls (ANA)	C	10	0	0	0	0	0	0	4	1	3	2	0	0.00%	0	10	1.02	0	0	0	0	0	0	0	0	0	0	0	71.43%	14	0	0	0.00	0	0	0	0	0	0
19	Joey Laleggia	Gulls (ANA)	D	7	0	0	0	4	4	0	9	1	1	0	1	0.00%	2	88	12.70	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0	0	0.00	0	0	0	0	0	0
20	Jett Woo	Gulls (ANA)	D	1	0	0	0	1	15	5	6	0	0	0	0	0.00%	1	6	6.62	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0	0	0.00	0	0	0	0	0	0
Team Total or Average				174	47	79	126	54	98	10	237	266	375	107	259	12.53%	78	2863	16.46	8	14	22	65	284	1	1	2	6	265	7	62.53%	926	1	2	0.88	1	4	1	8	7	7

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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	Remi Poirier	Gulls (ANA)	10	7	2	1	0.911	3.28	604	2	0	33	372	0	0	0	0.500	4	10	0	0	0	1
Team Total or Average			10	7	2	1	0.911	3.28	604	2	0	33	372	0	0	0	0.500	4	10	0	0	0	1

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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	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Andrew Oglevie	C	31	1995-02-16	No	180 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Ben Steeves	LW	24	2002-05-10	Yes	165 Lbs	5 ft8	No	No	No	2	RFA	Pro & Farm	775,059$	0$	0$	No	Link / NHL Link
Cole Hults	D	28	1998-05-22	No	189 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Cole Koepke	LW	28	1998-05-17	No	207 Lbs	6 ft1	Yes	No	No	5	UFA	Pro & Farm	1,499,999$	0$	0$	No	Link / NHL Link
Danila Klimovich	LW/RW	23	2003-01-09	No	202 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	833,333$	0$	0$	No	Link / NHL Link
Dylan Roobroeck	C	22	2004-07-27	Yes	207 Lbs	6 ft7	No	No	No	2	ELC	Pro & Farm	1,699,999$	0$	0$	No	Link / NHL Link
Ethan Del Mastro	D	23	2003-01-15	No	210 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	855,833$	0$	0$	No	Link / NHL Link
Garin Bjorklund	G	24	2002-05-28	Yes	174 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	775,059$	0$	0$	No	Link / NHL Link
Jan Mysak	C/LW	24	2002-06-04	No	175 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	828,333$	0$	0$	No	Link / NHL Link
Jansen Harkins	C	29	1997-05-23	No	197 Lbs	6 ft1	Yes	No	No	2	UFA	Pro & Farm	1,699,999$	0$	0$	No	Link / NHL Link
Jared Wright	RW	23	2002-11-22	Yes	178 Lbs	6 ft1	Yes	No	No	2	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Jett Woo	D	26	2000-07-27	No	205 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Jiri Kulich	C/LW/RW	22	2004-04-14	No	193 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	886,666$	0$	0$	No	Link / NHL Link
Joey Laleggia	D	34	1992-06-24	No	182 Lbs	5 ft9	No	No	No	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Kaedan Korczak	D	25	2001-01-29	No	206 Lbs	6 ft3	No	No	No	5	RFA	Pro & Farm	825,000$	0$	0$	No	Link / NHL Link
Kyle MacLean	C	27	1999-04-29	Yes	190 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	775,059$	0$	0$	No	Link / NHL Link
Lassi Thomson	D	25	2000-09-24	No	195 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	863,334$	0$	0$	No	Link / NHL Link
Marc Gatcomb	C	27	1999-07-22	Yes	200 Lbs	6 ft2	Yes	No	No	5	RFA	Pro & Farm	1,699,999$	0$	0$	No	Link / NHL Link
Matej Pekar	LW	26	2000-02-10	No	185 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Matt Villalta	G	27	1999-06-03	Yes	190 Lbs	6 ft3	Yes	No	No	4	RFA	Pro & Farm	1,699,999$	0$	0$	No	Link / NHL Link
Pekka Rinne	G	43	1982-11-03	No	217 Lbs	6 ft5	No	No	No	2	UFA	Pro & Farm	1,499,999$	0$	0$	No	Link / NHL Link
Remi Poirier	G	24	2001-10-06	Yes	210 Lbs	6 ft2	Yes	No	No	5	RFA	Pro & Farm	1,499,999$	0$	0$	No	Link / NHL Link
Rory Kerins	C/LW	24	2002-04-12	No	175 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Shane Wright	C	22	2004-01-05	No	192 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	886,666$	0$	0$	No	Link / NHL Link
Ty Rattie	RW	33	1993-02-05	No	183 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Veini Vehvilainen	G	29	1997-02-13	No	181 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Xavier Bourgault	C/RW	23	2002-10-22	No	185 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	26.52	192 Lbs	6 ft1	2.30	1,027,938$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Cole Koepke	Shane Wright		40	1	2	2
2	Rory Kerins	Jansen Harkins	Jiri Kulich	30	1	2	2
3	Danila Klimovich	Marc Gatcomb	Xavier Bourgault	20	1	2	2
4	Ben Steeves	Kyle MacLean		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kaedan Korczak		40	1	2	2
2	Ethan Del Mastro	Lassi Thomson	30	1	2	2
3	Cole Hults	Joey Laleggia	20	1	2	2
4	Kaedan Korczak		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Cole Koepke	Shane Wright		60	1	2	2
2	Rory Kerins	Jansen Harkins	Jiri Kulich	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kaedan Korczak		60	1	2	2
2	Ethan Del Mastro	Lassi Thomson	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Shane Wright	Cole Koepke	60	1	2	2
2	Jansen Harkins	Rory Kerins	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kaedan Korczak		60	1	2	2
2	Ethan Del Mastro	Lassi Thomson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Shane Wright	60	1	2	2	Kaedan Korczak		60	1	2	2
2	Jansen Harkins	40	1	2	2	Ethan Del Mastro	Lassi Thomson	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Shane Wright	Cole Koepke	60	1	2	2
2	Jansen Harkins	Rory Kerins	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kaedan Korczak		60	1	2	2
2	Ethan Del Mastro	Lassi Thomson	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Cole Koepke	Shane Wright		Kaedan Korczak

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Cole Koepke	Shane Wright		Kaedan Korczak

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jiri Kulich, Rory Kerins, Kyle MacLean	Jiri Kulich, Rory Kerins	Jiri Kulich

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Lassi Thomson, Cole Hults, Joey Laleggia	Lassi Thomson	Lassi Thomson, Cole Hults

Penalty Shots
Shane Wright, , Cole Koepke, Jansen Harkins, Jiri Kulich

Goalie
#1 : Remi Poirier, #2 : Matt Villalta

Custom OT Lines Forwards
Shane Wright, , Cole Koepke, Jansen Harkins, Jiri Kulich, Rory Kerins, Rory Kerins, Kyle MacLean, Marc Gatcomb, Danila Klimovich, Dylan Roobroeck

Custom OT Lines Defensemen
Kaedan Korczak, , Ethan Del Mastro, Lassi Thomson, Cole Hults

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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
10	15	SOL1	47	80	127	377	372	81	102	240	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	7	2	0	0	0	1	47	34

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	5	0	0	0	0	0	27	15

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	2	0	0	0	1	20	19

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
38	8	21.05%	37	4	89.19%	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
147	133	94	7	22	16	9	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
252	379	66.49%	228	362	62.98%	102	181	56.35%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
261	188	222	66	120	62

Last Played Games Show or Hide Column

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2026-09-02	9	Admirals	2	Gulls	7	W			BoxScore
2 - 2026-09-03	17	Gulls	1	Crunch	3	L			BoxScore
4 - 2026-09-05	40	Islanders	3	Gulls	4	W			BoxScore
5 - 2026-09-06	54	Griffins	3	Gulls	5	W			BoxScore
7 - 2026-09-08	72	Rocket	3	Gulls	6	W			BoxScore
8 - 2026-09-09	81	Gulls	6	Heat	4	W			BoxScore
10 - 2026-09-11	106	Phantoms	4	Gulls	5	W			BoxScore
11 - 2026-09-12	113	Gulls	5	Firebirds	2	W			BoxScore
13 - 2026-09-14	129	Gulls	4	Silver Knights	5	L			BoxScore
14 - 2026-09-15	145	Gulls	4	Reign	5	L	X	X	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	30	11
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
34	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,695,434$	2,695,434$	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$	0	0$	0$

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	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
2017	78	52	16	0	1	3	4	2	522	353	169	39	25	7	0	0	2	3	2	242	173	69	39	27	9	0	1	1	1	0	280	180	100	119	522	795	1317	1	0	134	189	194	8	2559	799	886	864	28	2098	683	765	2012	451	186	41.24%	252	69	72.62%	16	998	1591	62.73%	836	1343	62.25%	981	1591	61.66%	1815	956	1448	607	1452	889
2019	82	39	29	0	3	8	0	3	224	216	8	41	17	16	0	0	7	0	1	112	114	-2	41	22	13	0	3	1	0	2	112	102	10	95	224	425	649	4	4	84	80	57	3	2706	881	881	917	35	2708	767	520	1767	262	44	16.79%	218	35	83.94%	3	1544	2915	52.97%	1558	2937	53.05%	619	1181	52.41%	2057	1447	1862	590	1045	532
2020	82	38	29	0	5	4	3	3	304	281	23	41	24	12	0	1	1	1	2	166	124	42	41	14	17	0	4	3	2	1	138	157	-19	99	304	558	862	0	1	118	83	95	11	2977	961	930	1033	74	2900	848	534	1925	261	45	17.24%	247	60	75.71%	5	1635	2967	55.11%	1553	2970	52.29%	759	1356	55.97%	2087	1487	1855	570	1034	531
2021	82	41	30	0	4	5	2	0	330	299	31	41	18	17	0	1	4	1	0	153	146	7	41	23	13	0	3	1	1	0	177	153	24	99	330	591	921	1	0	0	115	113	96	3279	0	1111	1013	1131	3049	910	587	2016	289	70	24.22%	272	52	80.88%	5	1876	3210	58.44%	1750	3115	56.18%	786	1377	57.08%	2124	1523	1818	564	1006	515
2022	82	49	24	0	5	2	1	1	336	265	71	41	25	11	0	3	1	1	0	171	123	48	41	24	13	0	2	1	0	1	165	142	23	113	336	617	953	1	2	0	119	113	98	3070	0	1003	1001	1052	2916	797	459	1852	305	77	25.25%	194	37	80.93%	3	1812	3098	58.49%	1667	2887	57.74%	822	1420	57.89%	2242	1630	1675	538	1023	549
2023	82	36	37	0	1	6	1	1	373	381	-8	41	14	21	0	0	5	1	0	174	195	-21	41	22	16	0	1	1	0	1	199	186	13	83	373	670	1043	4	1	0	158	102	111	3481	0	1173	1133	1160	3409	971	449	1989	281	62	22.06%	195	34	82.56%	3	1922	3285	58.51%	1656	2886	57.38%	877	1473	59.54%	2204	1599	1724	533	1013	537
2024	82	24	48	0	4	5	1	0	346	435	-89	41	13	24	0	2	2	0	0	180	219	-39	41	11	24	0	2	3	1	0	166	216	-50	63	346	634	980	2	0	0	130	117	94	3134	0	1039	1049	1034	3289	968	539	2004	284	54	19.01%	236	57	75.85%	3	1824	2988	61.04%	1496	2478	60.37%	938	1551	60.48%	2152	1570	1800	517	983	516
2025	82	29	44	0	3	2	1	3	363	437	-74	41	16	20	0	1	0	1	3	173	189	-16	41	13	24	0	2	2	0	0	190	248	-58	71	363	651	1014	0	1	0	139	112	108	3238	0	1087	1085	1047	3299	883	494	2001	271	65	23.99%	219	51	76.71%	1	1890	3112	60.73%	1480	2385	62.05%	925	1567	59.03%	2181	1599	1785	522	978	509
2026	10	7	2	0	0	0	0	1	47	34	13	5	5	0	0	0	0	0	0	27	15	12	5	2	2	0	0	0	0	1	20	19	1	15	47	80	127	0	0	22	16	9	1	377	147	133	94	7	372	81	102	240	38	8	21.05%	37	4	89.19%	1	252	379	66.49%	228	362	62.98%	102	181	56.35%	261	188	222	66	120	62
Total Regular Season	662	315	259	0	26	35	13	14	2845	2701	144	331	157	128	0	8	22	8	8	1398	1298	100	331	158	131	0	18	13	5	6	1447	1403	44	757	2845	5021	7866	13	9	358	1029	912	530	24821	2788	8243	8189	5568	24040	6908	4449	15806	2442	611	25.02%	1870	399	78.66%	40	13753	23545	58.41%	12224	21363	57.22%	6809	11697	58.21%	17127	12002	14193	4511	8659	4644
Playoff
2017	13	8	5	0	0	0	0	0	82	68	14	7	4	3	0	0	0	0	0	39	39	0	6	4	2	0	0	0	0	0	43	29	14	16	82	127	209	0	0	25	31	25	1	374	114	123	135	2	455	147	169	304	68	33	48.53%	57	19	66.67%	2	172	261	65.90%	159	267	59.55%	162	275	58.91%	270	137	285	99	229	138
2019	5	1	4	0	0	0	0	0	12	16	-4	3	0	3	0	0	0	0	0	6	11	-5	2	1	1	0	0	0	0	0	6	5	1	2	12	21	33	0	0	6	2	4	0	146	49	49	48	0	182	52	34	135	15	3	20.00%	16	2	87.50%	0	87	156	55.77%	120	191	62.83%	31	74	41.89%	126	90	114	33	62	31
2022	6	2	4	0	0	0	0	0	18	23	-5	3	2	1	0	0	0	0	0	11	8	3	3	0	3	0	0	0	0	0	7	15	-8	4	18	33	51	0	0	0	6	8	4	274	0	90	100	84	238	73	33	138	21	4	19.05%	12	4	66.67%	0	165	250	66.00%	144	218	66.06%	58	94	61.70%	176	132	110	36	73	40
2023	4	0	4	0	0	0	0	0	16	24	-8	2	0	2	0	0	0	0	0	7	10	-3	2	0	2	0	0	0	0	0	9	14	-5	0	16	26	42	1	0	0	5	4	7	142	0	54	44	44	158	43	32	102	13	1	7.69%	15	6	60.00%	0	78	151	51.66%	64	146	43.84%	39	76	51.32%	89	61	98	29	52	25
Total Playoff	28	11	17	0	0	0	0	0	128	131	-3	15	6	9	0	0	0	0	0	63	68	-5	13	5	8	0	0	0	0	0	65	63	2	22	128	207	335	1	0	31	44	41	12	936	163	316	327	130	1033	315	268	679	117	41	35.04%	100	31	69.00%	2	502	818	61.37%	487	822	59.25%	290	519	55.88%	663	421	608	200	417	235