LSMH - LIGUE SIMULE DES MORDUS DE HOCKEY

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#	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	Jansen Harkins	X	X	X		96.00	78	43	85	71	77	78	82	65	81	67	66	63	65	71	70	58	75	68	0
2	Matthew Wood (R)			X		98.00	74	38	94	66	87	80	89	69	71	67	65	62	68	63	64	84	75	68	0
3	Raphael Lavoie	X		X		99.00	78	41	83	65	90	89	78	63	58	60	64	62	65	66	68	72	75	66	0
4	Ryan Winterton	X		X		99.00	70	39	90	67	75	81	86	62	60	65	61	64	62	63	65	66	75	65	0
5	Cole Schwindt	X		X		100.00	67	37	95	63	85	75	73	64	77	61	60	63	62	64	65	59	75	64	0
6	Jagger Firkus		X	X		99.00	62	36	91	67	61	88	85	66	68	64	61	63	65	62	64	76	75	64	0
7	Lenni Hameenaho (R)			X		100.00	66	37	88	64	76	82	86	62	57	63	59	65	61	63	64	70	75	64	0
8	Matthew Phillips			X		100.00	60	35	94	65	60	84	86	64	71	68	60	61	62	68	70	41	75	63	0
9	Tristan Broz	X	X			100.00	62	39	76	64	75	82	80	63	66	61	60	62	63	65	66	68	75	63	0
10	Shane Lachance (R)		X			99.00	73	39	92	61	85	81	84	58	67	59	60	62	59	63	65	49	75	63	0
11	Lucas Condotta		X			100.00	71	51	68	58	81	73	86	56	61	57	59	62	56	69	74	36	75	62	0
12	Maxim Groshev		X	X		100.00	66	39	88	63	80	86	82	62	30	61	55	57	51	65	67	61	75	62	0
13	Shakir Mukhamadullin (C)				X	99.00	75	39	89	68	86	85	79	64	30	70	61	67	51	64	66	80	75	68	0
14	Cale Fleury				X	99.00	77	39	93	64	78	84	74	62	30	66	57	65	49	68	70	53	75	65	0
15	Lucas Carlsson (A)				X	100.00	62	38	81	63	72	88	82	62	30	66	60	68	51	69	71	49	75	65	0
16	Adam Engstrom				X	100.00	67	39	83	64	79	81	84	62	30	63	55	64	48	63	65	62	75	63	0
17	Jake Christiansen				X	100.00	67	38	95	64	74	79	80	65	30	66	52	61	49	67	69	37	75	63	0
Scratches
1	Dylan Gambrell	X	X			100.00	60	37	87	62	69	85	76	61	69	63	60	65	62	70	72	54	75	63	0
2	Cedric Pare	X				100.00	75	52	75	59	84	75	83	56	60	58	57	61	55	67	69	42	75	62	0
3	Aydar Suniev (R)		X			100.00	68	38	93	62	80	78	84	59	53	58	60	56	61	63	64	66	75	61	0
4	Tanner Howe (R)		X			100.00	61	43	62	60	68	77	69	58	63	59	61	57	62	61	63	74	75	60	0
5	Josh Bloom (R)		X			100.00	68	37	95	56	77	66	63	55	62	59	52	57	54	63	65	62	75	59	0
6	Gleb Trikozov		X	X		100.00	72	40	82	57	81	76	72	54	55	52	56	53	58	62	64	68	75	58	0
7	Justin Janicke (R)		X			100.00	60	36	90	58	69	83	63	57	68	62	50	54	56	63	65	49	75	58	0
8	Colby Barlow (R)			X		100.00	63	37	92	58	72	75	71	56	51	53	55	52	58	61	63	83	75	57	0
9	David Goyette	X				100.00	56	40	73	58	65	70	79	57	55	56	54	52	59	62	64	68	75	56	0
10	Mikulas Hovorka				X	100.00	82	52	79	61	98	81	83	56	30	60	53	62	46	65	67	42	75	63	0
11	Matt Benning				X	100.00	72	40	79	62	81	76	75	59	30	57	52	68	48	74	73	30	75	63	0
12	Maksymilian Szuber				X	100.00	72	42	73	61	81	70	84	58	30	60	56	59	48	64	66	48	75	62	0
13	Ronnie Attard				X	100.00	76	43	70	58	85	75	80	56	30	57	55	59	47	67	69	56	75	61	0
14	Carson Lambos				X	100.00	64	39	79	59	77	75	86	57	30	55	54	61	45	63	65	80	75	60	0
15	Bryce Montgomery (R)				X	100.00	83	47	54	56	92	66	68	54	30	53	50	59	45	64	66	48	75	60	0
16	Roman Schmidt				X	100.00	84	48	58	54	93	64	78	53	30	51	52	59	45	63	65	62	75	60	0
17	Tanner Molendyk (R)				X	100.00	63	37	93	63	72	65	82	59	30	60	54	55	47	61	63	81	75	59	0
18	Simon Lundmark				X	100.00	70	38	87	55	78	81	83	53	30	54	52	61	45	66	68	70	75	59	0
19	Kirill Kirsanov (R)				X	100.00	68	37	95	55	77	63	86	53	30	54	53	56	45	64	66	63	75	57	0

	TEAM AVERAGE					99.67	69	40	83	61	78	78	79	59	49	60	57	60	55	65	67	60	75	62

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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	Jon Gillies	99.00	77	71	66	97	76	75	77	76	75	77	76	72	86	40	75	78	0
2	Arsenii Sergeev (R)	100.00	76	82	78	81	75	74	76	75	74	76	75	64	71	58	75	75	0
Scratches
1	Kaapo Kahkonen	100.00	75	85	80	84	74	73	75	74	73	75	74	72	84	53	75	75	0
2	Kevin Mandolese	100.00	74	75	71	82	73	72	74	73	72	74	73	66	75	47	75	74	0

	TEAM AVERAGE	99.75	76	78	74	86	75	74	76	75	74	76	75	69	79	50	75	76

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Pascal Vincent	75	73	72	60	85	79	66	CAN	55	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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	PSS	FL	FT	S1	S2	S3
1	Jagger Firkus	Barracuda (SJS)	LW/RW	6	2	4	6	1	0	0	4	9	20	3	11	10.00%	2	115	19.21	2	1	3	7	29	0	0	1	64.29%	14	1.04	0	0	0	1	0	0
2	Matthew Wood	Barracuda (SJS)	RW	6	2	4	6	1	0	0	8	5	22	7	19	9.09%	0	131	21.87	0	3	3	5	29	10	0	1	70.00%	10	0.91	1	0	0	0	1	0
3	Raphael Lavoie	Barracuda (SJS)	C/RW	6	1	5	6	-3	0	0	14	20	22	8	16	4.55%	0	130	21.68	0	2	2	5	29	4	0	0	50.84%	179	0.92	1	0	0	0	1	1
4	Cale Fleury	Barracuda (SJS)	D	6	1	4	5	-5	0	0	8	5	13	6	11	7.69%	13	152	25.44	0	2	2	10	31	8	0	0	0.00%	0	0.66	0	0	0	0	0	0
5	Jansen Harkins	Barracuda (SJS)	C/LW/RW	6	3	2	5	-2	11	5	20	30	30	10	13	10.00%	0	148	24.69	2	1	3	10	29	6	0	0	64.94%	231	0.68	1	0	1	0	0	0
6	Ryan Winterton	Barracuda (SJS)	C/RW	6	3	2	5	-3	0	0	10	8	25	5	15	12.00%	3	129	21.66	0	2	2	7	28	4	1	0	57.14%	14	0.77	0	0	0	1	1	0
7	Shakir Mukhamadullin	Barracuda (SJS)	D	6	1	3	4	-6	2	0	9	15	24	6	11	4.17%	18	153	25.54	1	2	3	14	31	7	0	0	0.00%	0	0.52	0	0	0	0	0	0
8	Jake Christiansen	Barracuda (SJS)	D	6	2	1	3	-4	2	0	9	4	8	1	4	25.00%	3	127	21.23	2	1	3	4	26	7	0	0	0.00%	0	0.47	0	0	0	0	0	0
9	Lenni Hameenaho	Barracuda (SJS)	RW	6	1	2	3	-3	0	0	5	12	16	5	13	6.25%	2	82	13.73	0	0	0	0	0	0	0	0	28.57%	7	0.73	0	0	0	0	0	0
10	Cole Schwindt	Barracuda (SJS)	C/RW	6	1	1	2	-3	0	0	4	23	14	2	10	7.14%	0	86	14.46	0	0	0	0	0	4	0	0	57.14%	112	0.46	0	0	0	0	0	0
11	Tristan Broz	Barracuda (SJS)	C/LW	6	1	1	2	-3	5	5	6	6	17	4	4	5.88%	0	82	13.70	0	0	0	0	0	0	1	0	75.00%	4	0.49	0	1	0	0	0	0
12	Shane Lachance	Barracuda (SJS)	LW	6	0	2	2	-4	0	0	10	7	12	8	17	0.00%	1	122	20.41	0	0	0	3	28	0	0	0	58.33%	12	0.33	0	0	0	0	0	0
13	Adam Engstrom	Barracuda (SJS)	D	6	0	1	1	0	0	0	4	4	1	0	0	0.00%	2	85	14.28	0	0	0	0	0	3	0	0	0.00%	0	0.23	0	0	0	0	0	0
14	Dylan Coghlan	Sharks	D	5	0	1	1	0	2	0	4	1	4	1	0	0.00%	0	67	13.60	0	0	0	0	0	0	0	0	0.00%	0	0.29	0	0	0	0	0	0
15	Lucas Carlsson	Barracuda (SJS)	D	6	0	1	1	-4	6	0	13	11	18	5	10	0.00%	6	126	21.09	0	0	0	14	26	4	0	0	0.00%	0	0.16	0	0	0	0	0	0
16	Dylan Gambrell	Barracuda (SJS)	C/LW	1	0	0	0	0	0	0	0	1	0	0	0	0.00%	0	2	2.18	0	0	0	0	0	1	0	0	100.00%	1	0.00	0	0	0	0	0	0
17	Lucas Condotta	Barracuda (SJS)	LW	5	0	0	0	-1	0	0	0	0	0	0	0	0.00%	0	1	0.21	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0
18	Matthew Phillips	Barracuda (SJS)	RW	6	0	0	0	-4	0	0	1	0	2	2	4	0.00%	0	25	4.18	0	0	0	0	0	0	0	0	100.00%	1	0.00	0	0	0	0	0	0
19	Maxim Groshev	Barracuda (SJS)	LW/RW	5	0	0	0	-4	0	0	1	3	1	1	2	0.00%	0	22	4.47	0	0	0	0	0	0	0	0	0.00%	3	0.00	0	0	0	0	0	0
20	Mikulas Hovorka	Barracuda (SJS)	D	1	0	0	0	0	2	0	2	0	0	0	1	0.00%	1	14	14.02	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0
Team Total or Average				107	18	34	52	-47	30	10	132	164	249	74	161	7.23%	51	1806	16.88	7	14	21	79	290	64	2	2	58.33%	588	0.58	3	1	1	2	3	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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	GA	SA	PS %	PSA	ST	BG
1	Jon Gillies	Barracuda (SJS)	6	2	3	1	0.870	3.77	334	21	162	0.667	3	6	0
2	Arsenii Sergeev	Barracuda (SJS)	1	0	0	0	0.913	3.75	32	2	23	0.000	0	0	5
Team Total or Average			7	2	3	1	0.876	3.77	366	23	185	0.667	3	6	5

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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 Engstrom	D	23	2003-11-17	No	193 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Arsenii Sergeev	G	24	2002-12-16	Yes	192 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Aydar Suniev	LW	22	2004-11-16	Yes	198 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Bryce Montgomery	D	24	2002-11-12	Yes	230 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Cale Fleury	D	28	1998-11-19	No	204 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	1,042,000$	0$	0$	No	Link / NHL Link
Carson Lambos	D	24	2003-01-14	No	197 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Cedric Pare	C	28	1999-01-24	No	205 Lbs	6 ft3	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Colby Barlow	RW	22	2005-02-14	Yes	190 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Cole Schwindt	C/RW	26	2001-04-25	No	210 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	1,143,000$	0$	0$	No	Link / NHL Link
David Goyette	C	23	2004-03-27	No	172 Lbs	5 ft10	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Dylan Gambrell	C/LW	30	1996-08-26	No	185 Lbs	5 ft11	No	No	Yes	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Gleb Trikozov	LW/RW	22	2004-08-12	No	201 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jagger Firkus	LW/RW	23	2004-04-29	No	153 Lbs	5 ft10	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jake Christiansen (1 Way Contract)	D	27	1999-09-12	No	199 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	1,000,000$	1,000,000$	928,144$	No	Link / NHL Link
Jansen Harkins	C/LW/RW	30	1997-05-23	No	197 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	1,200,000$	0$	0$	No	Link / NHL Link
Jon Gillies	G	33	1994-01-22	No	223 Lbs	6 ft6	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Josh Bloom	LW	24	2003-06-08	Yes	182 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Justin Janicke	LW	24	2003-06-30	Yes	185 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Kaapo Kahkonen	G	30	1996-08-16	No	217 Lbs	6 ft2	No	No	Yes	4	UFA	Pro & Farm	1,150,000$	0$	0$	No	Link / NHL Link
Kevin Mandolese	G	26	2000-08-22	No	180 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Kirill Kirsanov	D	24	2002-09-19	Yes	198 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Lenni Hameenaho	RW	22	2004-11-07	Yes	195 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Lucas Carlsson	D	29	1997-07-05	No	190 Lbs	6 ft0	No	No	Yes	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Lucas Condotta	LW	29	1997-11-06	No	218 Lbs	6 ft1	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Maksymilian Szuber	D	24	2002-08-25	No	190 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Matt Benning	D	33	1994-05-25	No	220 Lbs	6 ft1	No	No	Yes	1	UFA	Pro & Farm	2,450,000$	0$	0$	No	Link / NHL Link
Matthew Phillips	RW	29	1998-04-06	No	160 Lbs	5 ft8	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Matthew Wood	RW	22	2005-02-06	Yes	202 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Maxim Groshev	LW/RW	25	2001-12-14	No	196 Lbs	6 ft2	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Mikulas Hovorka	D	25	2001-07-01	No	229 Lbs	6 ft6	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Raphael Lavoie	C/RW	26	2000-09-25	No	217 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Roman Schmidt	D	24	2003-02-27	No	216 Lbs	6 ft5	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ronnie Attard	D	28	1999-03-20	No	208 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ryan Winterton	C/RW	23	2003-09-04	No	175 Lbs	6 ft2	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Shakir Mukhamadullin	D	25	2002-01-10	No	200 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	1,747,000$	0$	0$	No	Link / NHL Link
Shane Lachance	LW	23	2003-08-30	Yes	195 Lbs	6 ft4	No	No	No	4	ELC	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Simon Lundmark	D	26	2000-10-08	No	190 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Tanner Howe	LW	21	2005-11-28	Yes	183 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Tanner Molendyk	D	22	2005-02-03	Yes	190 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Tristan Broz	C/LW	24	2002-10-10	No	204 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
40	25.43	197 Lbs	6 ft2	2.50	993,300$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jagger Firkus	Jansen Harkins	Matthew Wood	35	1	2	2
2	Shane Lachance	Raphael Lavoie	Ryan Winterton	30	1	2	2
3	Tristan Broz	Cole Schwindt	Lenni Hameenaho	20	1	2	2
4	Maxim Groshev	Jansen Harkins	Matthew Phillips	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shakir Mukhamadullin	Cale Fleury	35	1	2	2
2	Lucas Carlsson	Jake Christiansen	30	1	2	2
3		Adam Engstrom	20	1	2	2
4	Shakir Mukhamadullin	Cale Fleury	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jagger Firkus	Jansen Harkins	Matthew Wood	60	1	2	2
2	Shane Lachance	Raphael Lavoie	Ryan Winterton	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shakir Mukhamadullin	Cale Fleury	60	1	2	2
2	Lucas Carlsson	Jake Christiansen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jansen Harkins	Matthew Wood	60	1	2	2
2	Raphael Lavoie	Ryan Winterton	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shakir Mukhamadullin	Cale Fleury	60	1	2	2
2	Lucas Carlsson	Jake Christiansen	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jansen Harkins	60	1	2	2	Shakir Mukhamadullin	Cale Fleury	60	1	2	2
2	Matthew Wood	40	1	2	2	Lucas Carlsson	Jake Christiansen	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jansen Harkins	Matthew Wood	60	1	2	2
2	Raphael Lavoie	Ryan Winterton	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Shakir Mukhamadullin	Cale Fleury	60	1	2	2
2	Lucas Carlsson	Jake Christiansen	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jagger Firkus	Jansen Harkins	Matthew Wood	Shakir Mukhamadullin	Cale Fleury

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jagger Firkus	Jansen Harkins	Matthew Wood	Shakir Mukhamadullin	Cale Fleury

Extra Forwards
Normal	PowerPlay	Penalty Kill
Lucas Condotta, Lenni Hameenaho, Cole Schwindt	Lucas Condotta, Lenni Hameenaho	Cole Schwindt

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Adam Engstrom, Lucas Carlsson		Adam Engstrom, Lucas Carlsson

Penalty Shots
Jansen Harkins, Matthew Wood, Raphael Lavoie, Ryan Winterton, Lenni Hameenaho

Goalie
#1 : Jon Gillies, #2 : Arsenii Sergeev

Custom OT Lines Forwards
Jansen Harkins, Matthew Wood, Raphael Lavoie, Ryan Winterton, Lenni Hameenaho, Jagger Firkus, Jagger Firkus, Cole Schwindt, Matthew Phillips, Shane Lachance, Tristan Broz

Custom OT Lines Defensemen
Shakir Mukhamadullin, Cale Fleury, Lucas Carlsson, Jake Christiansen,

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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
6	5	W1	18	34	52	249	185	51	30	132	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	1	3	1	0	0	1	18	24

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	2	1	0	0	1	11	16

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	7	8

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	3	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
34	7	20.59%	10	3	70.00%	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
93	84	69	6	10	3	4	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
162	276	58.70%	112	200	56.00%	69	103	66.99%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
158	114	132	45	76	39

Last Played Games Show or Hide Column

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
3 - 2026-09-20	17	Gulls	4	Barracuda	3	L	X	X	BoxScore
4 - 2026-09-21	31	Gulls	6	Barracuda	2	L			BoxScore
6 - 2026-09-23	41	Barracuda	3	Firebirds	5	L			BoxScore
8 - 2026-09-25	57	Barracuda	4	Firebirds	3	W			BoxScore
10 - 2026-09-27	71	Canucks	4	Barracuda	3	L			BoxScore
12 - 2026-09-29	88	Heat	2	Barracuda	3	W	X		BoxScore
14 - 2026-10-01	99	Barracuda	-	Silver Knights	-
16 - 2026-10-03	112	Barracuda	-	Thunderbirds	-
17 - 2026-10-04	117	Barracuda	-	Condors	-
19 - 2026-10-06	134	Roadrunners	-	Barracuda	-
21 - 2026-10-08	152	Marlies	-	Barracuda	-
23 - 2026-10-10	169	Silver Knights	-	Barracuda	-
25 - 2026-10-12	181	Barracuda	-	Silver Knights	-
26 - 2026-10-13	194	Barracuda	-	Condors	-
28 - 2026-10-15	206	Roadrunners	-	Barracuda	-
31 - 2026-10-18	226	Barracuda	-	Wild	-
32 - 2026-10-19	235	Comets	-	Barracuda	-
35 - 2026-10-22	254	Condors	-	Barracuda	-
37 - 2026-10-24	267	Barracuda	-	Canucks	-
38 - 2026-10-25	278	Barracuda	-	Moose	-
40 - 2026-10-27	290	Eagles	-	Barracuda	-
42 - 2026-10-29	307	Barracuda	-	Firebirds	-
43 - 2026-10-30	320	Barracuda	-	Senators	-
45 - 2026-11-01	331	Senators	-	Barracuda	-
47 - 2026-11-03	346	Barracuda	-	Monsters	-
49 - 2026-11-05	358	Wild	-	Barracuda	-
51 - 2026-11-07	373	Monsters	-	Barracuda	-
53 - 2026-11-09	389	Barracuda	-	Silver Knights	-
55 - 2026-11-11	402	IceHogs	-	Barracuda	-
56 - 2026-11-12	413	Barracuda	-	Heat	-
59 - 2026-11-15	432	Rocket	-	Barracuda	-
60 - 2026-11-16	441	Barracuda	-	Checkers	-
63 - 2026-11-19	459	Phantoms	-	Barracuda	-
65 - 2026-11-21	474	Barracuda	-	Penguins	-
66 - 2026-11-22	482	Canucks	-	Barracuda	-
69 - 2026-11-25	500	Barracuda	-	Canucks	-
71 - 2026-11-27	515	Gulls	-	Barracuda	-
73 - 2026-11-29	532	Condors	-	Barracuda	-
75 - 2026-12-01	542	Barracuda	-	Wild	-
77 - 2026-12-03	555	Barracuda	-	Rocket	-
78 - 2026-12-04	569	Admirals	-	Barracuda	-
80 - 2026-12-06	583	Barracuda	-	IceHogs	-
83 - 2026-12-09	599	Bruins	-	Barracuda	-
84 - 2026-12-10	609	Barracuda	-	Heat	-
86 - 2026-12-12	622	Marlies	-	Barracuda	-
88 - 2026-12-14	638	Barracuda	-	Gulls	-
89 - 2026-12-15	649	Barracuda	-	Griffins	-
91 - 2026-12-17	662	Americans	-	Barracuda	-
93 - 2026-12-19	678	Silver Knights	-	Barracuda	-
95 - 2026-12-21	692	Barracuda	-	Marlies	-
97 - 2026-12-23	705	IceHogs	-	Barracuda	-
99 - 2026-12-25	725	Barracuda	-	Stars	-
101 - 2026-12-27	736	Barracuda	-	Admirals	-
102 - 2026-12-28	747	Checkers	-	Barracuda	-
104 - 2026-12-30	763	Barracuda	-	Admirals	-
106 - 2027-01-01	777	Firebirds	-	Barracuda	-
108 - 2027-01-03	793	Heat	-	Barracuda	-
112 - 2027-01-07	817	Penguins	-	Barracuda	-
114 - 2027-01-09	829	Barracuda	-	Eagles	-
116 - 2027-01-11	840	Barracuda	-	Comets	-
117 - 2027-01-12	854	Canucks	-	Barracuda	-
120 - 2027-01-15	871	Barracuda	-	Condors	-
121 - 2027-01-16	879	Thunderbirds	-	Barracuda	-
124 - 2027-01-19	901	Barracuda	-	Eagles	-
125 - 2027-01-20	907	Roadrunners	-	Barracuda	-
128 - 2027-01-23	923	Barracuda	-	Roadrunners	-
129 - 2027-01-24	936	Stars	-	Barracuda	-
133 - 2027-01-28	957	Gulls	-	Barracuda	-
135 - 2027-01-30	973	Barracuda	-	Phantoms	-
136 - 2027-01-31	981	Barracuda	-	Thunderbirds	-
138 - 2027-02-02	993	Wolves	-	Barracuda	-
140 - 2027-02-04	1008	Barracuda	-	Bruins	-
141 - 2027-02-05	1019	Stars	-	Barracuda	-
143 - 2027-02-07	1030	Barracuda	-	Wolves	-
146 - 2027-02-10	1044	Barracuda	-	Gulls	-
148 - 2027-02-12	1056	Griffins	-	Barracuda	-
150 - 2027-02-14	1070	Barracuda	-	Bruins	-
151 - 2027-02-15	1082	Firebirds	-	Barracuda	-
153 - 2027-02-17	1091	Barracuda	-	Wolves	-
155 - 2027-02-19	1107	Heat	-	Barracuda	-
157 - 2027-02-21	1123	Barracuda	-	Americans	-
158 - 2027-02-22	1130	Barracuda	-	Islanders	-
161 - 2027-02-25	1145	Islanders	-	Barracuda	-
166 - 2027-03-02	1175	Moose	-	Barracuda	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	40	25
Attendance	6,237	3,000
Attendance PCT	77.96%	75.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
37	2309 - 76.98%	101,401$	405,602$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
214,580$	1,936,600$	1,936,600$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	142,724$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,853,219$	155	17,584$	2,725,520$

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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	31	30	0	6	5	4	2	231	240	-9	39	18	14	0	2	2	2	1	112	113	-1	39	13	16	0	4	3	2	1	119	127	-8	89	231	411	642	0	3	0	69	78	74	2118	0	662	716	704	2194	677	363	1518	175	44	25.14%	161	32	80.12%	3	1270	2427	52.33%	1284	2547	50.41%	609	1246	48.88%	1822	1227	1846	595	1059	525
2	78	38	31	0	2	4	2	1	246	213	33	39	18	15	0	1	3	1	1	124	113	11	39	20	16	0	1	1	1	0	122	100	22	89	246	430	676	0	8	0	89	88	65	2539	0	828	863	833	2192	671	399	1453	185	39	21.08%	162	25	84.57%	1	1379	2696	51.15%	1313	2469	53.18%	663	1280	51.80%	1918	1332	1754	574	1038	527
3	82	30	38	0	2	6	3	3	206	248	-42	41	19	17	0	1	2	1	1	105	117	-12	41	11	21	0	1	4	2	2	101	131	-30	79	206	361	567	1	5	0	77	66	58	2306	0	780	741	752	2537	779	504	1728	169	32	18.93%	203	42	79.31%	0	1329	2622	50.69%	1384	2813	49.20%	622	1285	48.40%	1926	1311	1951	605	1092	543
4	82	34	32	0	6	4	2	4	257	253	4	41	14	19	0	1	4	1	2	130	136	-6	41	20	13	0	5	0	1	2	127	117	10	92	257	470	727	3	0	0	95	81	73	2612	0	841	867	874	2555	734	363	1534	160	34	21.25%	165	42	74.55%	3	1499	2797	53.59%	1407	2699	52.13%	697	1335	52.21%	1930	1332	1977	594	1066	532
2020	82	34	35	0	5	3	3	2	298	311	-13	41	15	18	0	5	1	2	0	149	150	-1	41	19	17	0	0	2	1	2	149	161	-12	89	298	537	835	1	0	0	105	98	87	2875	0	926	963	966	2933	895	641	1936	242	57	23.55%	271	58	78.60%	2	1543	3065	50.34%	1472	2988	49.26%	718	1402	51.21%	1922	1318	1972	606	1067	530
2020	82	38	28	0	2	5	4	5	290	255	35	41	18	15	0	0	4	3	1	143	130	13	41	20	13	0	2	1	1	4	147	125	22	98	290	516	806	2	4	0	110	91	83	2990	0	994	969	983	2537	767	494	1839	286	68	23.78%	207	48	76.81%	4	1632	3115	52.39%	1467	2754	53.27%	661	1310	50.46%	2056	1443	1848	601	1070	543
2021	82	47	29	0	2	1	2	1	259	243	16	41	25	13	0	1	0	1	1	134	124	10	41	22	16	0	1	1	1	0	125	119	6	104	259	459	718	4	6	0	104	76	75	2807	0	993	884	910	2545	738	552	1927	264	48	18.18%	244	52	78.69%	2	1627	3056	53.24%	1502	2796	53.72%	734	1335	54.98%	2012	1399	1873	597	1058	535
2021	82	40	26	0	4	6	3	3	299	247	52	41	24	14	0	0	2	1	0	148	123	25	41	16	12	0	4	4	2	3	151	124	27	103	299	543	842	1	4	0	111	87	94	2675	0	914	873	861	2646	811	502	1877	289	59	20.42%	220	39	82.27%	4	1490	2910	51.20%	1487	2903	51.22%	682	1371	49.74%	1976	1369	1927	606	1063	530
2022	82	31	36	0	4	4	3	4	253	268	-15	41	15	16	0	3	4	2	1	123	124	-1	41	16	20	0	1	0	1	3	130	144	-14	84	253	458	711	1	2	0	73	91	82	2587	0	777	917	858	2694	725	620	1878	253	58	22.92%	269	63	76.58%	1	1426	2766	51.55%	1504	2901	51.84%	714	1353	52.77%	2034	1415	1878	596	1060	534
2022	82	48	22	0	5	1	4	2	309	248	61	41	30	6	0	4	1	0	0	171	111	60	41	18	16	0	1	0	4	2	138	137	1	117	309	559	868	3	3	0	110	86	104	2908	0	932	1001	950	2712	808	564	1923	266	72	27.07%	240	48	80.00%	2	1523	3028	50.30%	1511	2953	51.17%	708	1359	52.10%	2012	1409	1901	595	1048	529
2023	82	43	25	0	6	5	3	0	358	289	69	41	23	12	0	1	3	2	0	197	151	46	41	20	13	0	5	2	1	0	161	138	23	109	358	656	1014	1	0	0	137	96	116	3266	0	1125	985	1130	2915	838	708	1986	327	79	24.16%	293	59	79.86%	4	1748	3172	55.11%	1623	3040	53.39%	785	1429	54.93%	2067	1452	1839	589	1042	537
2023	82	47	25	0	5	3	0	2	377	295	82	41	27	11	0	2	1	0	0	195	135	60	41	20	14	0	3	2	0	2	182	160	22	109	377	700	1077	0	1	0	154	113	105	3365	0	1092	1136	1104	2876	841	775	2018	314	72	22.93%	326	85	73.93%	6	1918	3264	58.76%	1710	3042	56.21%	876	1492	58.71%	2082	1461	1825	587	1050	539
2024	82	44	27	0	8	3	0	0	320	265	55	41	19	15	0	6	1	0	0	163	133	30	41	25	12	0	2	2	0	0	157	132	25	107	320	592	912	3	3	0	140	95	77	2962	0	924	998	1018	2901	853	777	2069	351	70	19.94%	323	64	80.19%	2	1729	3188	54.23%	1626	3059	53.15%	718	1345	53.38%	2030	1405	1862	596	1047	530
2025	82	30	36	0	4	8	1	3	265	291	-26	41	17	17	0	3	2	0	2	129	136	-7	41	13	19	0	1	6	1	1	136	155	-19	81	265	481	746	1	2	0	96	98	66	2816	0	920	910	962	2913	882	766	2057	334	63	18.86%	323	60	81.42%	9	1531	3066	49.93%	1598	3082	51.85%	716	1388	51.59%	1920	1293	1966	630	1075	539
2026	6	1	3	0	1	0	0	1	18	24	-6	4	0	2	0	1	0	0	1	11	16	-5	2	1	1	0	0	0	0	0	7	8	-1	5	18	34	52	0	0	10	3	4	1	249	93	84	69	6	185	51	30	132	34	7	20.59%	10	3	70.00%	0	162	276	58.70%	112	200	56.00%	69	103	66.99%	158	114	132	45	76	39
Total Regular Season	1146	536	423	0	62	58	34	33	3986	3690	296	574	282	204	0	31	30	16	11	2034	1812	222	572	254	219	0	31	28	18	22	1952	1878	74	1355	3986	7207	11193	21	41	10	1473	1248	1160	39075	93	12792	12892	12911	37335	11070	8058	25875	3649	802	21.98%	3417	720	78.93%	43	21806	41448	52.61%	21000	40246	52.18%	9972	19033	52.39%	27871	19286	26557	8423	14919	7520
Playoff
2	5	1	4	0	0	0	0	0	11	15	-4	2	0	2	0	0	0	0	0	3	7	-4	3	1	2	0	0	0	0	0	8	8	0	2	11	19	30	0	1	0	2	4	5	133	0	35	35	56	179	54	20	84	13	1	7.69%	9	2	77.78%	0	75	169	44.38%	88	184	47.83%	32	71	45.07%	100	64	143	40	69	32
2020	4	0	4	0	0	0	0	0	10	16	-6	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	6	8	-2	0	10	20	30	0	0	0	6	3	1	144	0	55	41	42	139	37	32	100	12	3	25.00%	16	3	81.25%	1	80	152	52.63%	82	140	58.57%	26	64	40.63%	106	74	94	30	53	27
2021	7	3	4	0	0	0	0	0	20	25	-5	4	2	2	0	0	0	0	0	10	12	-2	3	1	2	0	0	0	0	0	10	13	-3	6	20	36	56	0	0	0	7	8	5	213	0	64	68	81	207	52	51	164	26	6	23.08%	20	7	65.00%	0	115	233	49.36%	114	223	51.12%	46	106	43.40%	161	111	168	49	90	45
2021	5	1	4	0	0	0	0	0	7	16	-9	2	1	1	0	0	0	0	0	3	4	-1	3	0	3	0	0	0	0	0	4	12	-8	2	7	13	20	0	0	0	1	3	3	144	0	57	41	45	147	53	33	106	11	1	9.09%	14	4	71.43%	0	74	165	44.85%	79	182	43.41%	32	71	45.07%	115	80	128	39	65	30
2022	21	16	5	0	0	0	0	0	84	55	29	11	7	4	0	0	0	0	0	40	29	11	10	9	1	0	0	0	0	0	44	26	18	32	84	155	239	1	1	0	27	31	25	790	0	258	252	263	674	195	149	506	54	17	31.48%	65	8	87.69%	1	441	835	52.81%	394	730	53.97%	196	352	55.68%	531	369	482	152	276	139
2023	10	6	4	0	0	0	0	0	55	41	14	5	2	3	0	0	0	0	0	26	25	1	5	4	1	0	0	0	0	0	29	16	13	12	55	101	156	1	0	0	20	19	14	395	0	131	127	130	328	95	88	215	27	6	22.22%	41	11	73.17%	0	197	342	57.60%	216	369	58.54%	117	194	60.31%	259	183	222	73	132	70
2023	4	0	4	0	0	0	0	0	12	20	-8	2	0	2	0	0	0	0	0	8	10	-2	2	0	2	0	0	0	0	0	4	10	-6	0	12	23	35	0	0	0	5	3	4	174	0	65	58	51	175	51	30	105	14	3	21.43%	13	3	76.92%	0	90	176	51.14%	103	168	61.31%	37	70	52.86%	92	62	96	28	51	26
2024	11	5	6	0	0	0	0	0	40	28	12	6	3	3	0	0	0	0	0	28	15	13	5	2	3	0	0	0	0	0	12	13	-1	10	40	78	118	0	1	0	12	15	13	425	0	155	138	129	364	120	111	290	52	12	23.08%	49	9	81.63%	1	225	476	47.27%	206	398	51.76%	87	184	47.28%	272	184	251	85	145	73
Total Playoff	67	32	35	0	0	0	0	0	239	216	23	34	15	19	0	0	0	0	0	122	110	12	33	17	16	0	0	0	0	0	117	106	11	64	239	445	684	2	3	0	80	86	70	2418	0	820	760	797	2213	657	514	1570	209	49	23.44%	227	47	79.30%	3	1297	2548	50.90%	1282	2394	53.55%	573	1112	51.53%	1640	1131	1587	500	883	444