LSMH - LIGUE SIMULE DES MORDUS DE HOCKEY

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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
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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	Jeff Malott		X			96.00	81	49	70	68	92	83	85	65	62	64	63	67	65	70	72	35	75	69	0
2	Sammy Blais		X			97.00	87	51	70	66	82	79	80	65	69	70	64	67	63	71	72	39	75	69	0
3	Ben Meyers	X				98.00	70	40	89	66	71	83	84	65	80	63	67	68	64	69	70	36	75	67	0
4	Pontus Holmberg	X	X			99.00	67	41	87	71	75	82	86	66	77	64	63	66	65	68	70	42	75	67	0
5	Matej Blumel			X		99.00	65	37	90	68	75	77	86	67	61	63	65	62	67	66	68	59	75	66	0
6	Adam Beckman		X			98.00	68	39	84	64	77	92	83	63	66	62	65	61	64	65	67	63	75	65	0
7	Andrew Mangiapane		X			100.00	67	35	86	70	67	81	87	66	56	60	61	63	65	74	72	39	75	65	0
8	Lukas Reichel		X			100.00	60	35	95	71	69	80	84	65	72	66	62	63	67	64	65	81	75	65	0
9	Samuel Helenius	X				100.00	87	62	72	64	97	72	83	62	72	56	60	61	59	64	65	67	75	65	0
10	Cole Guttman	X				100.00	62	38	80	66	63	90	86	63	68	65	64	60	66	67	69	42	75	64	0
11	Isaac Ratcliffe		X			100.00	83	46	68	59	92	74	73	58	55	57	56	61	59	67	69	65	75	63	0
12	Curtis McKenzie	X	X	X		100.00	72	63	69	56	81	76	86	57	60	59	58	61	55	75	80	25	75	62	0
13	Troy Stecher				X	100.00	63	36	89	68	67	87	84	63	30	68	58	70	50	78	73	27	75	66	0
14	Matthew Kessel				X	99.00	75	41	84	65	86	80	76	62	30	63	57	61	49	66	68	47	75	64	0
15	Cal Foote				X	100.00	85	41	87	58	94	66	68	57	30	59	54	62	47	68	70	72	75	63	0
16	Jack Anderson (R)				X	100.00	88	43	76	56	97	65	63	54	30	52	57	61	47	64	66	43	75	62	0
17	Zach Metsa				X	100.00	59	36	94	64	69	77	85	62	30	67	56	57	49	68	70	36	75	62	0
18	Victor Soderstrom				X	100.00	61	38	84	63	72	81	71	59	30	64	55	58	48	65	67	82	75	61	0
Scratches
1	Curtis Douglas	X				100.00	85	81	55	59	99	71	81	58	57	56	54	60	53	66	68	58	75	63	0
2	Nathan Gaucher	X				100.00	78	49	70	58	89	76	83	57	61	55	56	62	58	63	65	81	75	62	0
3	Alexis Gendron			X		100.00	55	39	74	61	64	88	82	59	55	57	60	56	58	63	65	49	75	59	0
4	Nico Myatovic		X			100.00	68	39	89	59	77	72	85	58	53	55	56	57	54	62	64	77	75	59	0
5	Parker Bell (R)		X			100.00	76	41	81	55	85	71	81	53	56	52	54	57	55	63	65	49	75	58	0
6	Raivis Ansons		X			100.00	67	41	77	56	76	65	67	55	51	53	54	57	55	64	66	52	75	58	0
7	Philippe Myers				X	93.02	76	54	83	67	94	86	74	65	30	61	55	68	50	70	69	36	75	67	0
8	Riley Stillman				X	100.00	75	64	62	59	82	72	77	58	30	55	53	57	46	68	70	49	75	60	0
9	Zach Uens				X	100.00	64	40	77	57	73	64	63	54	30	56	53	55	46	65	67	59	75	57	0

	TEAM AVERAGE					99.22	72	45	79	63	80	77	79	61	52	60	59	61	56	67	69	52	75	63

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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	Ivan Fedotov	96.00	77	85	80	98	76	75	77	76	75	77	76	70	84	51	75	77	0
2	Olivier Rodrigue	100.00	74	81	77	70	73	72	74	73	72	74	73	66	75	64	75	73	0
Scratches
1	Scott Ratzlaff (R)	100.00	66	76	73	75	65	64	66	65	64	66	65	61	65	56	75	66	0
2	Hunter Jones	100.00	58	71	67	85	57	56	58	57	56	58	57	66	75	65	75	61	0

	TEAM AVERAGE	99.00	69	78	74	82	68	67	69	68	67	69	68	66	75	59	75	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Andrew Brunette	83	81	82	80	79	74	70	CAN	53	2	1,000,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	PSG	PSS	S1	S2	S3
1	Sammy Blais	Gulls (ANA)	LW	7	2	5	7	2	4	18	26	22	6	19	9.09%	4	133	19.12	0	1	1	6	18	1	28	0	55.19%	212	1.05	0	0	0	0	0
2	Ben Meyers	Gulls (ANA)	C	7	2	4	6	3	2	3	15	32	11	23	6.25%	2	146	20.95	0	0	0	2	19	2	21	0	46.43%	56	0.82	0	1	1	0	0
3	Pontus Holmberg	Gulls (ANA)	C/LW	7	3	3	6	3	2	7	15	21	6	13	14.29%	4	118	16.97	1	1	2	2	16	0	0	0	71.43%	35	1.01	0	0	0	0	1
4	Adam Beckman	Gulls (ANA)	LW	7	2	3	5	1	4	12	8	24	5	7	8.33%	2	169	24.24	1	1	2	7	17	1	20	0	30.77%	26	0.59	0	1	1	0	0
5	Jeff Malott	Gulls (ANA)	LW	7	4	1	5	0	6	6	16	25	13	21	16.00%	1	179	25.62	1	0	1	4	18	0	32	1	60.42%	48	0.56	1	1	0	0	0
6	Philippe Myers	Gulls (ANA)	D	6	1	4	5	1	8	18	13	20	2	6	5.00%	12	148	24.73	0	1	1	6	13	0	21	0	0.00%	0	0.67	0	0	0	0	1
7	Troy Stecher	Gulls (ANA)	D	7	1	4	5	1	2	0	18	11	4	8	9.09%	16	167	23.96	0	2	2	4	16	0	29	0	0.00%	0	0.60	0	0	0	1	0
8	Matthew Kessel	Gulls (ANA)	D	7	1	4	5	-2	10	16	8	8	1	4	12.50%	8	154	22.03	0	0	0	2	19	0	19	0	0.00%	0	0.65	0	0	0	0	0
9	Samuel Helenius	Gulls (ANA)	C	7	2	3	5	-3	0	9	4	15	2	13	13.33%	3	101	14.51	0	0	0	0	0	0	0	1	36.36%	11	0.98	0	0	1	0	0
10	Matej Blumel	Gulls (ANA)	RW	7	2	2	4	3	0	4	25	22	6	15	9.09%	1	106	15.19	1	0	1	2	5	0	0	0	40.60%	133	0.75	0	0	0	0	0
11	Lukas Reichel	Gulls (ANA)	LW	7	2	2	4	-3	0	0	10	14	4	16	14.29%	1	102	14.58	0	0	0	0	0	0	0	0	83.33%	6	0.78	0	0	0	0	0
12	Cal Foote	Gulls (ANA)	D	7	1	2	3	-1	10	19	4	4	1	3	25.00%	5	137	19.60	1	1	2	1	16	0	26	0	0.00%	0	0.44	0	0	0	0	0
13	Curtis Douglas	Gulls (ANA)	C	6	0	3	3	0	6	23	13	5	2	6	0.00%	0	99	16.64	0	1	1	0	11	0	0	0	46.73%	107	0.60	0	0	0	0	0
14	Zach Metsa	Gulls (ANA)	D	7	1	1	2	1	0	1	6	4	0	1	25.00%	4	111	15.99	0	0	0	0	5	0	3	0	0.00%	0	0.36	0	0	0	0	0
15	Jack Anderson	Gulls (ANA)	D	7	0	1	1	2	18	24	2	4	2	2	0.00%	13	108	15.53	0	0	0	0	1	0	7	0	0.00%	0	0.18	0	0	0	0	0
16	Andrew Mangiapane	Gulls (ANA)	LW	1	0	0	0	-3	2	0	2	4	0	0	0.00%	1	15	15.02	0	0	0	0	0	0	0	0	50.00%	18	0.00	0	0	0	0	0
17	Cole Guttman	Gulls (ANA)	C	7	0	0	0	0	0	0	1	1	0	0	0.00%	0	8	1.23	0	0	0	1	1	0	3	0	40.00%	5	0.00	0	0	0	0	0
18	Curtis McKenzie	Gulls (ANA)	C/LW/RW	7	0	0	0	0	0	2	0	0	0	0	0.00%	0	7	1.11	0	0	0	0	1	0	1	0	0.00%	1	0.00	0	0	0	0	0
19	Isaac Ratcliffe	Gulls (ANA)	LW	7	0	0	0	-3	0	3	1	2	0	1	0.00%	2	23	3.36	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0
20	Victor Soderstrom	Gulls (ANA)	D	1	0	0	0	-2	0	0	0	0	1	0	0.00%	2	15	15.12	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0
Team Total or Average				126	24	42	66	0	74	165	187	238	66	158	10.08%	81	2056	16.32	5	8	13	37	182	4	219	2	50.00%	658	0.64	1	3	3	1	2

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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	Ivan Fedotov	Gulls (ANA)	7	3	4	0	0.896	4.10	424	0	0	29	278	0	0	0	1.000	3	7	0	0	1	0
Team Total or Average			7	3	4	0	0.896	4.10	424	0	0	29	278	0	0	0	1.000	3	7	0	0	1	0

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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
Adam Beckman	LW	26	2001-05-10	No	182 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Alexis Gendron	RW	23	2003-12-30	No	175 Lbs	5 ft9	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Andrew Mangiapane	LW	31	1996-04-04	No	183 Lbs	5 ft10	No	No	Yes	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Ben Meyers	C	28	1998-11-15	No	194 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Cal Foote	D	28	1998-12-13	No	224 Lbs	6 ft5	No	No	No	4	UFA	Pro & Farm	1,200,000$	0$	0$	No	Link / NHL Link
Cole Guttman	C	28	1999-04-06	No	167 Lbs	5 ft9	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Curtis Douglas	C	27	2000-03-06	No	242 Lbs	6 ft9	No	No	No	3	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Curtis McKenzie	C/LW/RW	36	1991-02-22	No	205 Lbs	6 ft2	No	No	Yes	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Hunter Jones	G	26	2000-09-21	No	194 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Isaac Ratcliffe	LW	28	1999-02-15	No	200 Lbs	6 ft6	No	No	No	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Ivan Fedotov	G	30	1996-11-28	No	214 Lbs	6 ft7	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jack Anderson	D	24	2002-11-14	Yes	225 Lbs	6 ft6	No	No	No	4	ELC	Pro & Farm	1,100,000$	0$	0$	No	Link / NHL Link
Jeff Malott	LW	30	1996-08-07	No	215 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Lukas Reichel	LW	25	2002-05-17	No	170 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	1,490,000$	0$	0$	No	Link / NHL Link
Matej Blumel	RW	27	2000-05-31	No	202 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	1,123,000$	0$	0$	No	Link / NHL Link
Matthew Kessel	D	27	2000-06-23	No	212 Lbs	6 ft3	No	No	No	4	UFA	Pro & Farm	1,403,000$	0$	0$	No	Link / NHL Link
Nathan Gaucher	C	23	2003-11-06	No	226 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Nico Myatovic	LW	22	2004-12-01	No	182 Lbs	6 ft2	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Olivier Rodrigue	G	26	2000-07-06	No	158 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Parker Bell	LW	23	2003-09-26	Yes	192 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Philippe Myers	D	30	1997-01-25	No	221 Lbs	6 ft5	No	No	No	4	UFA	Pro & Farm	1,115,000$	0$	0$	No	Link / NHL Link
Pontus Holmberg	C/LW	28	1999-03-09	No	201 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Raivis Ansons	LW	25	2002-01-29	No	191 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Riley Stillman	D	29	1998-03-09	No	207 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Sammy Blais	LW	31	1996-06-17	No	206 Lbs	6 ft2	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Samuel Helenius	C	24	2002-11-26	No	225 Lbs	6 ft6	No	No	No	2	ELC	Pro & Farm	998,000$	0$	0$	No	Link / NHL Link
Scott Ratzlaff	G	22	2005-03-09	Yes	188 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Troy Stecher	D	33	1994-04-07	No	184 Lbs	5 ft10	No	No	Yes	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Victor Soderstrom	D	26	2001-02-26	No	189 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Zach Metsa	D	28	1998-10-19	No	198 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Zach Uens	D	26	2001-05-13	No	180 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
31	27.10	198 Lbs	6 ft2	2.39	939,645$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jeff Malott	Sammy Blais	Ben Meyers	35	1	2	2
2	Adam Beckman	Matej Blumel	Pontus Holmberg	30	1	2	2
3	Samuel Helenius	Andrew Mangiapane	Lukas Reichel	20	1	2	2
4	Isaac Ratcliffe	Jeff Malott	Adam Beckman	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Soderstrom	Matthew Kessel	35	1	2	2
2	Troy Stecher	Cal Foote	30	1	2	2
3	Zach Metsa	Jack Anderson	20	1	2	2
4	Troy Stecher	Matthew Kessel	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jeff Malott	Sammy Blais	Ben Meyers	60	1	2	2
2	Adam Beckman	Pontus Holmberg	Matej Blumel	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Metsa	Matthew Kessel	60	1	2	2
2	Troy Stecher	Cal Foote	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sammy Blais	Jeff Malott	60	1	2	2
2	Ben Meyers	Adam Beckman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Metsa	Cal Foote	60	1	2	2
2	Troy Stecher	Matthew Kessel	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jeff Malott	60	1	2	2	Cal Foote	Zach Metsa	60	1	2	2
2	Adam Beckman	40	1	2	2	Troy Stecher	Matthew Kessel	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ben Meyers	Jeff Malott	60	1	2	2
2	Sammy Blais	Adam Beckman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cal Foote	Matthew Kessel	60	1	2	2
2	Troy Stecher	Zach Metsa	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jeff Malott	Sammy Blais	Ben Meyers	Matthew Kessel	Troy Stecher

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jeff Malott	Sammy Blais	Ben Meyers	Matthew Kessel	Troy Stecher

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jeff Malott, Adam Beckman, Sammy Blais	Adam Beckman, Jeff Malott	Jeff Malott

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Troy Stecher, Cal Foote, Matthew Kessel	Troy Stecher	Matthew Kessel, Troy Stecher

Penalty Shots
Ben Meyers, Jeff Malott, Sammy Blais, Adam Beckman, Pontus Holmberg

Goalie
#1 : Ivan Fedotov, #2 : Olivier Rodrigue

Custom OT Lines Forwards
Sammy Blais, Jeff Malott, Pontus Holmberg, Adam Beckman, Ben Meyers, Matej Blumel, Matej Blumel, Andrew Mangiapane, Samuel Helenius, Lukas Reichel, Isaac Ratcliffe

Custom OT Lines Defensemen
Jack Anderson, Matthew Kessel, Troy Stecher, Cal Foote, Zach Metsa

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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
7	6	L4	25	42	67	238	278	81	74	165	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	4	1	0	1	0	25	29

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	2	1	0	0	0	11	14

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	0	0	1	0	14	15

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	4	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
24	5	20.83%	36	10	72.22%	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
77	82	76	6	9	7	7	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
126	249	50.60%	141	282	50.00%	62	122	50.82%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
157	106	178	52	89	44

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2026-09-18	6	Thunderbirds	6	Gulls	7	W	X		BoxScore
3 - 2026-09-20	17	Gulls	4	Barracuda	3	W	X	X	BoxScore
4 - 2026-09-21	31	Gulls	6	Barracuda	2	W			BoxScore
7 - 2026-09-24	45	Silver Knights	3	Gulls	2	L			BoxScore
9 - 2026-09-26	63	Condors	5	Gulls	2	L			BoxScore
11 - 2026-09-28	79	Gulls	2	Stars	5	L			BoxScore
12 - 2026-09-29	84	Gulls	2	Canucks	5	L			BoxScore
14 - 2026-10-01	100	Heat	-	Gulls	-
17 - 2026-10-04	119	Gulls	-	Heat	-
18 - 2026-10-05	129	Firebirds	-	Gulls	-
21 - 2026-10-08	151	Condors	-	Gulls	-
23 - 2026-10-10	165	Gulls	-	Canucks	-
24 - 2026-10-11	170	Gulls	-	Admirals	-
26 - 2026-10-13	189	IceHogs	-	Gulls	-
27 - 2026-10-14	201	Heat	-	Gulls	-
29 - 2026-10-16	217	Gulls	-	Heat	-
32 - 2026-10-19	234	Canucks	-	Gulls	-
34 - 2026-10-21	248	Gulls	-	Eagles	-
36 - 2026-10-23	259	Stars	-	Gulls	-
38 - 2026-10-25	273	Gulls	-	Firebirds	-
39 - 2026-10-26	287	Roadrunners	-	Gulls	-
41 - 2026-10-28	300	Gulls	-	Thunderbirds	-
42 - 2026-10-29	312	Gulls	-	Americans	-
44 - 2026-10-31	323	Gulls	-	Bruins	-
46 - 2026-11-02	335	Moose	-	Gulls	-
49 - 2026-11-05	357	Griffins	-	Gulls	-
51 - 2026-11-07	372	Admirals	-	Gulls	-
52 - 2026-11-08	382	Gulls	-	Stars	-
55 - 2026-11-11	401	Monsters	-	Gulls	-
57 - 2026-11-13	419	Gulls	-	Silver Knights	-
58 - 2026-11-14	428	Wild	-	Gulls	-
60 - 2026-11-16	446	Gulls	-	Silver Knights	-
62 - 2026-11-18	456	Gulls	-	Checkers	-
64 - 2026-11-20	469	Silver Knights	-	Gulls	-
67 - 2026-11-23	488	Rocket	-	Gulls	-
69 - 2026-11-25	499	Gulls	-	Rocket	-
71 - 2026-11-27	515	Gulls	-	Barracuda	-
72 - 2026-11-28	526	Heat	-	Gulls	-
75 - 2026-12-01	541	Gulls	-	Monsters	-
77 - 2026-12-03	553	Bruins	-	Gulls	-
78 - 2026-12-04	568	Senators	-	Gulls	-
80 - 2026-12-06	581	Gulls	-	Wild	-
82 - 2026-12-08	597	Gulls	-	Marlies	-
84 - 2026-12-10	611	Marlies	-	Gulls	-
86 - 2026-12-12	625	Gulls	-	Heat	-
88 - 2026-12-14	638	Barracuda	-	Gulls	-
90 - 2026-12-16	652	Canucks	-	Gulls	-
92 - 2026-12-18	668	Gulls	-	Canucks	-
93 - 2026-12-19	680	IceHogs	-	Gulls	-
95 - 2026-12-21	696	Gulls	-	Roadrunners	-
97 - 2026-12-23	708	Silver Knights	-	Gulls	-
99 - 2026-12-25	727	Islanders	-	Gulls	-
101 - 2026-12-27	738	Gulls	-	Phantoms	-
103 - 2026-12-29	752	Gulls	-	Griffins	-
104 - 2026-12-30	760	Gulls	-	Moose	-
105 - 2026-12-31	773	Condors	-	Gulls	-
108 - 2027-01-03	791	Gulls	-	Penguins	-
110 - 2027-01-05	802	Americans	-	Gulls	-
113 - 2027-01-08	821	Gulls	-	Wild	-
115 - 2027-01-10	832	Comets	-	Gulls	-
117 - 2027-01-12	851	Griffins	-	Gulls	-
118 - 2027-01-13	861	Gulls	-	Comets	-
120 - 2027-01-15	875	Gulls	-	IceHogs	-
122 - 2027-01-17	884	Checkers	-	Gulls	-
124 - 2027-01-19	899	Gulls	-	Firebirds	-
126 - 2027-01-21	910	Firebirds	-	Gulls	-
129 - 2027-01-24	935	Penguins	-	Gulls	-
131 - 2027-01-26	943	Gulls	-	Wolves	-
133 - 2027-01-28	957	Gulls	-	Barracuda	-
134 - 2027-01-29	969	Wolves	-	Gulls	-
137 - 2027-02-01	990	Thunderbirds	-	Gulls	-
140 - 2027-02-04	1010	Eagles	-	Gulls	-
143 - 2027-02-07	1027	Gulls	-	Admirals	-
146 - 2027-02-10	1044	Barracuda	-	Gulls	-
148 - 2027-02-12	1059	Gulls	-	Roadrunners	-
149 - 2027-02-13	1068	Gulls	-	Senators	-
151 - 2027-02-15	1079	Thunderbirds	-	Gulls	-
154 - 2027-02-18	1097	Phantoms	-	Gulls	-
155 - 2027-02-19	1109	Gulls	-	IceHogs	-
158 - 2027-02-22	1125	Eagles	-	Gulls	-
160 - 2027-02-24	1141	Gulls	-	Condors	-
162 - 2027-02-26	1152	Firebirds	-	Gulls	-
164 - 2027-02-28	1163	Gulls	-	Condors	-
165 - 2027-03-01	1172	Gulls	-	Islanders	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	5,830	2,934
Attendance PCT	97.17%	97.80%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	2921 - 97.38%	103,359$	310,076$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
176,209$	1,456,450$	1,456,450$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	104,353$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
4,030,988$	155	14,709$	2,279,895$

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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
2	78	44	16	0	7	3	5	3	263	194	69	39	22	8	0	6	1	0	2	134	98	36	39	22	8	0	1	2	5	1	129	96	33	118	263	448	711	0	7	0	95	92	64	2678	0	850	936	845	2167	593	445	1529	175	32	18.29%	178	34	80.90%	2	1501	2662	56.39%	1382	2482	55.68%	665	1252	53.12%	1970	1382	1735	568	1035	527
2	78	24	44	0	0	7	2	1	202	247	-45	39	15	20	0	0	3	1	0	111	119	-8	39	9	24	0	0	4	1	1	91	128	-37	60	202	361	563	2	1	0	78	62	60	2300	0	766	764	759	2436	691	403	1522	146	23	15.75%	178	39	78.09%	0	1245	2462	50.57%	1218	2487	48.97%	614	1261	48.69%	1825	1253	1843	575	1042	512
3	82	34	32	0	5	7	2	2	261	230	31	41	21	14	0	2	2	0	2	139	106	33	41	13	18	0	3	5	2	0	122	124	-2	91	261	473	734	2	3	0	101	88	65	2714	0	913	937	839	2450	741	548	1780	194	40	20.62%	239	42	82.43%	3	1570	2890	54.33%	1535	2758	55.66%	717	1302	55.07%	2041	1422	1836	596	1084	548
4	82	38	32	0	4	2	3	3	259	232	27	41	23	14	0	1	1	2	0	127	107	20	41	15	18	0	3	1	1	3	132	125	7	95	259	458	717	2	3	0	102	81	69	3000	0	973	1011	989	2432	704	524	1620	152	23	15.13%	225	46	79.56%	4	1635	2924	55.92%	1492	2711	55.04%	745	1308	56.96%	2019	1423	1890	584	1048	528
2020	82	36	29	0	6	8	1	2	282	278	4	41	20	11	0	4	5	0	1	152	139	13	41	16	18	0	2	3	1	1	130	139	-9	96	282	518	800	1	0	0	100	83	92	2823	0	921	918	947	2928	854	631	1960	236	59	25.00%	273	51	81.32%	2	1531	2920	52.43%	1531	3072	49.84%	641	1337	47.94%	1863	1265	2021	616	1077	525
2020	82	22	44	0	6	1	4	5	286	340	-54	41	14	19	0	3	0	3	2	148	159	-11	41	8	25	0	3	1	1	3	138	181	-43	70	286	513	799	6	0	0	86	109	81	2706	0	840	962	870	2812	798	730	1939	270	59	21.85%	286	80	72.03%	5	1411	2844	49.61%	1394	2890	48.24%	697	1436	48.54%	1903	1294	1977	625	1099	537
2021	82	35	30	0	5	5	3	4	281	257	24	41	20	12	0	2	3	2	2	140	118	22	41	15	18	0	3	2	1	2	141	139	2	95	281	505	786	3	4	0	115	85	73	2836	0	940	967	898	2638	799	602	1883	223	47	21.08%	262	48	81.68%	2	1565	2996	52.24%	1482	2836	52.26%	687	1330	51.65%	2014	1408	1895	594	1059	531
2021	82	34	34	0	6	4	2	2	279	285	-6	41	21	15	0	2	2	1	0	137	119	18	41	13	19	0	4	2	1	2	142	166	-24	90	279	504	783	3	1	0	102	82	87	2650	0	873	869	874	2672	811	496	1729	288	67	23.26%	217	49	77.42%	3	1537	2856	53.82%	1421	2813	50.52%	755	1390	54.32%	1951	1352	1946	599	1064	532
2022	82	45	18	0	5	6	7	1	330	253	77	41	24	9	0	1	3	4	0	168	122	46	41	21	9	0	4	3	3	1	162	131	31	121	330	590	920	1	2	0	123	110	85	2999	0	964	994	991	2543	738	489	1802	266	64	24.06%	213	49	77.00%	6	1679	3194	52.57%	1461	2752	53.09%	727	1390	52.30%	2079	1463	1852	589	1057	542
2022	82	29	38	0	3	5	5	2	273	296	-23	41	16	15	0	3	1	4	2	144	132	12	41	13	23	0	0	4	1	0	129	164	-35	81	273	474	747	4	0	0	105	86	74	2777	0	882	936	921	2626	771	513	1843	289	73	25.26%	221	49	77.83%	4	1608	3017	53.30%	1509	2821	53.49%	697	1362	51.17%	2013	1397	1892	605	1068	541
2023	82	18	55	0	3	4	0	2	263	513	-250	41	8	28	0	1	3	0	1	129	269	-140	41	10	27	0	2	1	0	1	134	244	-110	48	263	456	719	1	1	0	100	89	71	2682	0	836	907	924	4153	1249	626	1975	266	64	24.06%	279	85	69.53%	2	1084	2704	40.09%	1217	3155	38.57%	572	1573	36.36%	1692	1153	2242	587	1004	467
2023	82	39	33	0	4	4	0	2	360	291	69	41	19	17	0	2	2	0	1	168	143	25	41	20	16	0	2	2	0	1	192	148	44	92	360	638	998	6	2	0	139	116	101	3343	0	1152	1049	1114	2978	853	638	1998	297	78	26.26%	275	58	78.91%	4	1708	3231	52.86%	1590	3084	51.56%	762	1470	51.84%	2062	1446	1833	585	1052	539
2024	82	35	25	0	8	6	5	3	314	262	52	41	22	10	0	1	3	4	1	167	125	42	41	13	15	0	7	3	1	2	147	137	10	105	314	564	878	1	2	0	115	93	93	3085	0	1009	976	1059	2943	825	807	2241	326	70	21.47%	348	75	78.45%	2	1660	3193	51.99%	1686	3234	52.13%	749	1382	54.20%	2051	1420	1862	604	1070	546
2025	82	34	31	0	6	4	2	5	300	283	17	41	17	14	0	3	3	1	3	148	143	5	41	17	17	0	3	1	1	2	152	140	12	93	300	552	852	0	2	0	95	99	98	2839	0	904	988	914	2928	824	939	2154	324	76	23.46%	410	78	80.98%	5	1610	3097	51.99%	1620	3191	50.77%	716	1392	51.44%	2000	1364	1905	617	1063	532
2026	7	1	4	0	1	0	1	0	25	29	-4	3	0	2	0	1	0	0	0	11	14	-3	4	1	2	0	0	0	1	0	14	15	-1	6	25	42	67	0	0	9	7	7	2	238	77	82	76	6	278	81	74	165	24	5	20.83%	36	10	72.22%	0	126	249	50.60%	141	282	50.00%	62	122	50.82%	157	106	178	52	89	44
Total Regular Season	1147	468	465	0	69	66	42	37	3978	3990	-12	573	262	208	0	32	32	22	17	2023	1913	110	574	206	257	0	37	34	20	20	1955	2077	-122	1261	3978	7096	11074	32	28	9	1463	1282	1115	39670	77	12905	13290	12950	38984	11332	8465	26140	3476	780	22.44%	3640	793	78.21%	44	21470	41239	52.06%	20679	40568	50.97%	9806	19307	50.79%	27647	19155	26912	8402	14918	7457
Playoff
2	13	6	7	0	0	0	0	0	38	42	-4	7	5	2	0	0	0	0	0	25	20	5	6	1	5	0	0	0	0	0	13	22	-9	12	38	69	107	0	1	0	13	13	11	365	0	120	121	117	367	128	77	248	23	5	21.74%	33	5	84.85%	1	227	439	51.71%	246	433	56.81%	118	212	55.66%	315	216	294	98	176	89
3	6	2	4	0	0	0	0	0	11	18	-7	3	2	1	0	0	0	0	0	11	8	3	3	0	3	0	0	0	0	0	0	10	-10	4	11	21	32	0	0	0	3	5	3	181	0	56	60	65	203	55	32	119	9	1	11.11%	16	4	75.00%	0	116	211	54.98%	134	233	57.51%	47	86	54.65%	135	93	147	42	77	37
2020	24	15	9	0	0	0	0	0	89	80	9	12	8	4	0	0	0	0	0	44	40	4	12	7	5	0	0	0	0	0	45	40	5	30	89	164	253	0	1	0	31	35	20	915	0	282	294	295	845	231	167	547	76	18	23.68%	79	20	74.68%	1	447	878	50.91%	473	952	49.68%	217	418	51.91%	574	394	594	182	316	153
2021	6	2	4	0	0	0	0	0	17	22	-5	3	0	3	0	0	0	0	0	4	11	-7	3	2	1	0	0	0	0	0	13	11	2	4	17	32	49	0	0	0	9	3	4	203	0	65	63	61	208	46	50	135	19	2	10.53%	24	4	83.33%	0	113	225	50.22%	102	242	42.15%	47	100	47.00%	138	91	152	47	80	40
2022	9	4	5	0	0	0	0	0	27	32	-5	5	2	3	0	0	0	0	0	14	18	-4	4	2	2	0	0	0	0	0	13	14	-1	8	27	51	78	0	0	0	9	8	9	321	0	113	102	95	290	91	59	184	36	6	16.67%	24	9	62.50%	0	172	344	50.00%	161	303	53.14%	79	151	52.32%	214	148	215	67	117	59
2024	4	0	4	0	0	0	0	0	15	21	-6	2	0	2	0	0	0	0	0	8	11	-3	2	0	2	0	0	0	0	0	7	10	-3	0	15	25	40	0	0	0	7	6	2	165	0	42	56	62	163	52	60	120	10	2	20.00%	28	3	89.29%	1	85	168	50.60%	81	166	48.80%	37	80	46.25%	95	63	96	30	53	26
2025	7	3	4	0	0	0	0	0	23	24	-1	3	2	1	0	0	0	0	0	13	10	3	4	1	3	0	0	0	0	0	10	14	-4	6	23	43	66	0	0	0	8	9	6	247	0	73	92	82	236	70	58	177	19	5	26.32%	27	7	74.07%	0	143	278	51.44%	142	269	52.79%	62	120	51.67%	179	123	150	50	90	47
Total Playoff	69	32	37	0	0	0	0	0	220	239	-19	35	19	16	0	0	0	0	0	119	118	1	34	13	21	0	0	0	0	0	101	121	-20	64	220	405	625	0	2	0	80	79	55	2397	0	751	788	777	2312	673	503	1530	192	39	20.31%	231	52	77.49%	3	1303	2543	51.24%	1339	2598	51.54%	607	1167	52.01%	1652	1131	1650	519	913	453