LSMH - LIGUE SIMULE DES MORDUS DE HOCKEY

Maple Leafs
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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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6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
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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
1	Liam Ohgren		X			99.00	68	36	95	70	72	85	87	66	64	62	65	63	67	63	64	83	75	66	0
2	Nikita Alexandrov	X	X	X		96.00	64	38	87	67	73	87	81	66	73	69	64	62	65	66	68	64	75	66	0
3	Rutger McGroarty			X		96.00	70	39	87	67	80	86	83	66	69	65	61	62	63	62	64	84	75	65	0
4	Berkly Catton (R)	X				100.00	54	36	85	72	66	81	85	69	58	61	60	62	71	61	63	89	75	64	0
5	Adam Sykora		X			100.00	68	37	91	62	71	82	87	59	61	58	65	63	59	62	64	68	75	63	0
6	Wilmer Skoog	X				100.00	71	41	73	62	80	94	86	58	63	60	59	64	57	67	69	37	75	63	0
7	Trevor Connelly (R)		X			100.00	57	39	85	65	67	85	77	64	74	68	59	58	63	60	62	85	75	63	0
8	Gavin Brindley	X				100.00	63	36	91	71	63	76	82	63	57	60	59	56	61	62	64	77	75	62	0
9	Kyle McDonald		X	X		100.00	82	41	83	59	91	71	73	58	55	57	56	60	58	64	66	43	75	62	0
10	Tyson Kozak	X	X			100.00	70	39	87	63	69	77	78	57	73	56	59	65	58	64	66	48	75	62	0
11	Oscar Eklind		X			98.00	81	41	86	59	90	72	81	58	55	57	56	60	59	68	70	36	75	62	0
12	Matyas Sapovaliv	X				100.00	78	39	94	57	87	75	87	56	61	55	58	60	57	62	64	73	75	61	0
13	Albert Johansson				X	99.00	69	35	90	66	73	86	87	64	30	67	57	70	51	65	67	64	75	66	0
14	Hunter Brzustewicz				X	99.00	62	36	94	63	72	83	86	59	30	64	57	58	49	62	64	66	75	61	0
15	Viliam Kmec (R)				X	100.00	74	39	88	57	83	66	84	58	30	62	52	59	46	62	64	44	75	61	0
16	Alex Gagne (R)				X	100.00	78	43	73	55	87	66	82	54	30	56	52	59	45	64	66	48	75	60	0
17	Artem Duda				X	100.00	66	39	88	61	75	73	78	58	30	62	54	57	46	62	64	76	75	60	0
18	Wyatt Newpower				X	100.00	73	43	69	57	82	65	77	56	30	55	53	58	46	69	71	36	75	60	0
Scratches
1	Cameron Berg (R)	X				100.00	64	38	83	62	73	78	80	57	59	55	63	58	60	64	66	57	75	61	0
2	Tyler Boucher			X		100.00	69	56	70	59	78	79	77	57	54	56	58	55	59	63	65	85	75	60	0
3	Owen Allard (R)	X				100.00	69	38	93	58	78	73	86	57	61	56	55	59	57	62	64	56	75	60	0
4	Jacob Julien (R)	X				100.00	74	39	88	58	83	69	71	56	59	54	55	57	53	62	64	56	75	59	0
5	Nikita Chibrikov			X		100.00	65	36	83	57	64	84	78	56	54	58	59	55	61	64	65	71	75	59	0
6	Julian Lutz		X			100.00	65	39	78	55	74	66	79	53	57	56	54	58	52	62	64	74	75	58	0
7	Matthew Maggio			X		100.00	60	38	84	59	69	87	83	56	61	58	57	55	59	64	66	54	75	58	0
8	Zac Funk (R)		X	X		100.00	67	41	73	56	76	79	63	54	58	55	53	57	52	63	65	44	75	58	0
9	Kalle Vaisanen (R)		X			100.00	73	37	95	54	82	65	69	52	56	50	53	55	51	63	65	60	75	57	0
10	Ty Gallagher				X	100.00	63	39	82	61	72	71	69	58	30	60	56	55	48	63	65	49	75	59	0
11	Ole Bjorgvik-Holm				X	100.00	69	40	75	55	78	64	74	54	30	53	52	56	45	64	66	54	75	57	0
12	Stanislav Svozil				X	100.00	62	39	81	58	71	69	79	56	30	57	53	54	46	63	65	66	75	57	0
13	Braden Doyle (R)				X	100.00	57	44	56	58	65	64	62	54	30	50	50	56	45	65	67	47	75	55	0

	TEAM AVERAGE					99.58	68	39	83	61	76	76	79	58	51	58	57	59	55	63	65	61	75	61

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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	Devon Levi	100.00	78	91	87	74	77	76	78	77	76	78	77	65	73	57	75	76	0
2	Jakub Malek (R)	96.00	75	83	79	80	74	73	75	74	73	75	74	64	71	60	75	74	0
Scratches
1	Kirill Gerasimyuk (R)	100.00	71	78	74	76	70	69	71	70	69	71	70	63	69	49	75	70	0
2	Vyacheslav Buteyets (R)	100.00	56	72	68	90	55	54	56	55	54	56	55	64	71	48	75	60	0

	TEAM AVERAGE	99.00	70	81	77	80	69	68	70	69	68	70	69	64	71	54	75	70

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Joel Quenneville	81	77	90	78	99	94	41	CAN	67	4	2,000,000$

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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	GT	FO%	FOT	HT	P/20	S1	S2	S3
1	Albert Johansson	Marlies (TOR)	D	7	3	11	14	5	8	20	12	15	6	7	20.00%	13	179	25.64	2	3	5	7	18	0	22	1	1	0.00%	0	0	1.56	0	0	1
2	Berkly Catton	Marlies (TOR)	C	7	7	5	12	6	4	3	16	36	4	30	19.44%	0	137	19.70	2	1	3	8	14	0	5	1	2	35.71%	14	0	1.74	1	1	1
3	Rutger McGroarty	Marlies (TOR)	RW	7	9	3	12	6	12	20	15	34	10	18	26.47%	2	172	24.66	3	2	5	8	18	2	24	1	0	42.35%	170	0	1.39	1	2	0
4	Liam Ohgren	Marlies (TOR)	LW	7	3	8	11	2	4	9	7	35	13	25	8.57%	2	143	20.49	1	3	4	5	18	2	16	1	1	40.66%	91	0	1.53	0	0	2
5	Nikita Alexandrov	Marlies (TOR)	C/LW/RW	7	3	5	8	5	2	13	17	35	7	24	8.57%	7	165	23.70	0	1	1	5	18	2	28	1	0	44.44%	72	1	0.96	1	0	0
6	Hunter Brzustewicz	Marlies (TOR)	D	7	1	6	7	6	4	10	10	13	0	6	7.69%	11	178	25.50	0	1	1	1	18	0	24	0	0	0.00%	0	0	0.78	0	0	1
7	Adam Sykora	Marlies (TOR)	LW	7	1	4	5	-5	4	5	13	14	4	15	7.14%	4	120	17.22	0	0	0	0	1	0	6	0	0	36.91%	149	0	0.83	0	0	0
8	Oscar Eklind	Marlies (TOR)	LW	7	1	4	5	-6	6	33	12	18	3	10	5.56%	4	151	21.58	0	0	0	3	14	0	9	0	0	54.05%	37	0	0.66	0	0	0
9	Gavin Brindley	Marlies (TOR)	C	7	2	2	4	1	0	2	8	18	5	11	11.11%	1	94	13.44	0	0	0	0	0	0	0	0	0	75.00%	4	0	0.85	0	0	0
10	Wilmer Skoog	Marlies (TOR)	C	7	1	3	4	1	6	17	15	15	2	13	6.67%	0	103	14.73	0	3	3	2	14	0	0	0	0	45.38%	130	0	0.78	0	1	0
11	Alex Gagne	Marlies (TOR)	D	7	0	3	3	-3	8	19	1	4	3	1	0.00%	12	122	17.44	0	0	0	0	0	0	7	0	0	0.00%	0	0	0.49	0	0	0
12	Artem Duda	Marlies (TOR)	D	7	0	2	2	-3	0	8	6	7	4	3	0.00%	8	148	21.24	0	2	2	4	14	0	22	0	0	0.00%	0	0	0.27	0	0	0
13	Trevor Connelly	Marlies (TOR)	LW	7	1	1	2	-6	0	9	10	16	2	12	6.25%	3	108	15.56	0	0	0	0	0	0	0	0	0	66.67%	3	0	0.37	0	0	0
14	Viliam Kmec	Marlies (TOR)	D	7	0	2	2	-1	4	5	1	2	3	2	0.00%	8	91	13.12	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.44	0	0	0
15	Wyatt Newpower	Marlies (TOR)	D	7	0	1	1	-1	2	19	2	3	3	5	0.00%	7	120	17.26	0	0	0	1	15	0	18	0	0	0.00%	0	0	0.17	0	0	0
16	Cameron Berg	Marlies (TOR)	C	3	0	0	0	0	0	0	1	0	0	0	0.00%	0	2	0.74	0	0	0	0	0	0	0	0	0	0.00%	1	0	0.00	0	0	0
17	Kyle McDonald	Marlies (TOR)	LW/RW	7	0	0	0	0	0	1	0	0	0	0	0.00%	0	5	0.73	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0
18	Matyas Sapovaliv	Marlies (TOR)	C	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.15	0	0	0	0	0	0	0	0	0	0.00%	1	0	0.00	0	0	0
Team Total or Average				119	32	60	92	7	64	193	146	265	69	182	12.08%	82	2046	17.20	8	16	24	44	170	6	187	5	4	42.41%	672	1	0.90	3	4	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

#	Goalie Name	Team Name	GP	W	L	PCT	GAA	MP	GA	SA	ST	BG
1	Jakub Malek	Marlies (TOR)	4	4	0	0.894	3.73	241	15	142	4	3
2	Devon Levi	Marlies (TOR)	3	1	2	0.900	4.36	179	13	130	3	4
Team Total or Average			7	5	2	0.897	3.99	421	28	272	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

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 Sykora	LW	22	2004-09-07	No	193 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Albert Johansson	D	26	2001-01-04	No	195 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Alex Gagne	D	24	2002-08-12	Yes	205 Lbs	6 ft4	No	No	No	4	ELC	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Artem Duda	D	23	2004-04-08	No	187 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Berkly Catton	C	21	2006-01-14	Yes	179 Lbs	5 ft10	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Braden Doyle	D	25	2001-08-24	Yes	162 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Cameron Berg	C	25	2002-01-29	Yes	192 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Devon Levi	G	25	2001-12-27	No	192 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Gavin Brindley	C	22	2004-10-05	No	173 Lbs	5 ft8	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Hunter Brzustewicz	D	22	2004-11-29	No	190 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jacob Julien	C	22	2004-09-12	Yes	181 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jakub Malek	G	25	2002-04-11	Yes	170 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Julian Lutz	LW	23	2004-02-29	No	185 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Kalle Vaisanen	LW	24	2003-01-28	Yes	178 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Kirill Gerasimyuk	G	23	2003-08-22	Yes	178 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Kyle McDonald	LW/RW	25	2002-02-05	No	221 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	1,180,000$	0$	0$	No	Link / NHL Link
Liam Ohgren	LW	23	2004-01-28	No	187 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Matthew Maggio	RW	24	2002-11-25	No	185 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Matyas Sapovaliv	C	23	2004-02-12	No	203 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Nikita Alexandrov	C/LW/RW	26	2000-09-16	No	177 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Nikita Chibrikov	RW	24	2003-02-16	No	170 Lbs	5 ft10	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ole Bjorgvik-Holm	D	25	2002-05-23	No	190 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Oscar Eklind	LW	28	1998-07-14	No	220 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Owen Allard	C	23	2004-01-13	Yes	190 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Rutger McGroarty	RW	23	2004-03-30	No	212 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Stanislav Svozil	D	24	2003-01-17	No	183 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Trevor Connelly	LW	21	2006-02-28	Yes	156 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ty Gallagher	D	24	2003-03-06	No	188 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Tyler Boucher	RW	24	2003-01-16	No	205 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Tyson Kozak	C/LW	24	2002-12-29	No	185 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Viliam Kmec	D	23	2004-01-02	Yes	212 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Vyacheslav Buteyets	G	25	2002-05-29	Yes	220 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Wilmer Skoog	C	27	1999-07-17	No	196 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	1,350,000$	0$	0$	No	Link / NHL Link
Wyatt Newpower	D	29	1997-12-09	No	194 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Zac Funk	LW/RW	23	2003-07-20	Yes	210 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
35	24.00	190 Lbs	6 ft1	2.23	904,429$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nikita Alexandrov	Rutger McGroarty	Berkly Catton	35	1	2	2
2	Trevor Connelly	Adam Sykora	Oscar Eklind	30	1	2	2
3	Liam Ohgren	Wilmer Skoog	Gavin Brindley	20	1	2	2
4	Oscar Eklind	Liam Ohgren	Rutger McGroarty	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Albert Johansson	Hunter Brzustewicz	35	1	2	2
2	Artem Duda	Alex Gagne	30	1	2	2
3	Viliam Kmec	Wyatt Newpower	20	1	2	2
4	Albert Johansson	Hunter Brzustewicz	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nikita Alexandrov	Liam Ohgren	Rutger McGroarty	60	1	2	2
2	Berkly Catton	Oscar Eklind	Wilmer Skoog	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Albert Johansson	Hunter Brzustewicz	60	1	2	2
2	Wyatt Newpower	Artem Duda	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nikita Alexandrov	Rutger McGroarty	60	1	2	2
2	Liam Ohgren	Oscar Eklind	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Albert Johansson	Hunter Brzustewicz	60	1	2	2
2	Artem Duda	Wyatt Newpower	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Rutger McGroarty	60	1	2	2	Albert Johansson	Hunter Brzustewicz	60	1	2	2
2	Liam Ohgren	40	1	2	2	Wyatt Newpower	Artem Duda	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Liam Ohgren	Oscar Eklind	60	1	2	2
2	Nikita Alexandrov	Rutger McGroarty	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Albert Johansson	Hunter Brzustewicz	60	1	2	2
2	Alex Gagne	Artem Duda	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Liam Ohgren	Rutger McGroarty	Nikita Alexandrov	Albert Johansson	Hunter Brzustewicz

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Liam Ohgren	Rutger McGroarty	Nikita Alexandrov	Albert Johansson	Hunter Brzustewicz

Extra Forwards
Normal	PowerPlay	Penalty Kill
Oscar Eklind, Liam Ohgren, Rutger McGroarty	Oscar Eklind, Liam Ohgren	Liam Ohgren

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Hunter Brzustewicz, Albert Johansson, Artem Duda	Hunter Brzustewicz	Hunter Brzustewicz, Albert Johansson

Penalty Shots
Oscar Eklind, Adam Sykora, Trevor Connelly, Liam Ohgren, Rutger McGroarty

Goalie
#1 : Jakub Malek, #2 : Devon Levi

Custom OT Lines Forwards
Berkly Catton, Nikita Alexandrov, Adam Sykora, Trevor Connelly, Wilmer Skoog, Liam Ohgren, Liam Ohgren, Rutger McGroarty, Gavin Brindley, Oscar Eklind, Tyson Kozak

Custom OT Lines Defensemen
Albert Johansson, Hunter Brzustewicz, Alex Gagne, Artem Duda, Wyatt Newpower

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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	10	W4	32	60	92	265	272	82	64	193	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	2	1	0	0	0	32	28

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	3	0	0	0	0	0	16	9

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	1	0	0	0	16	19

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	2	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
21	8	38.10%	28	6	78.57%	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
79	80	102	4	12	12	7	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
105	267	39.33%	115	275	41.82%	65	125	52.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
156	106	177	49	88	42

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
1 - 2026-09-18	4	Bruins	3	Marlies	4	W		BoxScore
3 - 2026-09-20	19	Marlies	0	Griffins	4	L		BoxScore
4 - 2026-09-21	29	Marlies	5	Americans	6	L		BoxScore
6 - 2026-09-23	42	Griffins	5	Marlies	7	W		BoxScore
9 - 2026-09-26	62	Checkers	1	Marlies	5	W		BoxScore
10 - 2026-09-27	73	Marlies	4	Islanders	3	W	X	BoxScore
12 - 2026-09-29	89	Marlies	7	Americans	6	W		BoxScore
13 - 2026-09-30	92	Marlies	-	Griffins	-
15 - 2026-10-02	108	Moose	-	Marlies	-
17 - 2026-10-04	122	Marlies	-	Senators	-
19 - 2026-10-06	135	Rocket	-	Marlies	-
21 - 2026-10-08	152	Marlies	-	Barracuda	-
23 - 2026-10-10	164	Senators	-	Marlies	-
25 - 2026-10-12	183	Wolves	-	Marlies	-
27 - 2026-10-14	200	Checkers	-	Marlies	-
28 - 2026-10-15	207	Marlies	-	Senators	-
32 - 2026-10-19	230	Griffins	-	Marlies	-
33 - 2026-10-20	242	Marlies	-	Wild	-
36 - 2026-10-23	258	Firebirds	-	Marlies	-
37 - 2026-10-24	271	Marlies	-	Heat	-
39 - 2026-10-26	285	Marlies	-	Condors	-
40 - 2026-10-27	295	Moose	-	Marlies	-
43 - 2026-10-30	316	Penguins	-	Marlies	-
44 - 2026-10-31	326	Marlies	-	IceHogs	-
46 - 2026-11-02	338	Marlies	-	Americans	-
48 - 2026-11-04	352	Marlies	-	Bruins	-
50 - 2026-11-06	367	Heat	-	Marlies	-
52 - 2026-11-08	384	Condors	-	Marlies	-
55 - 2026-11-11	398	Checkers	-	Marlies	-
57 - 2026-11-13	418	Bruins	-	Marlies	-
58 - 2026-11-14	430	Marlies	-	Monsters	-
60 - 2026-11-16	443	Marlies	-	Rocket	-
62 - 2026-11-18	453	Marlies	-	Moose	-
64 - 2026-11-20	468	Monsters	-	Marlies	-
67 - 2026-11-23	487	Silver Knights	-	Marlies	-
68 - 2026-11-24	498	Marlies	-	Silver Knights	-
70 - 2026-11-26	512	Bruins	-	Marlies	-
72 - 2026-11-28	525	Marlies	-	Bruins	-
75 - 2026-12-01	543	Comets	-	Marlies	-
77 - 2026-12-03	554	Marlies	-	Canucks	-
78 - 2026-12-04	567	Canucks	-	Marlies	-
81 - 2026-12-07	586	Marlies	-	Penguins	-
82 - 2026-12-08	597	Gulls	-	Marlies	-
84 - 2026-12-10	611	Marlies	-	Gulls	-
86 - 2026-12-12	622	Marlies	-	Barracuda	-
88 - 2026-12-14	637	Admirals	-	Marlies	-
90 - 2026-12-16	653	Monsters	-	Marlies	-
92 - 2026-12-18	667	Marlies	-	Phantoms	-
93 - 2026-12-19	679	Marlies	-	Admirals	-
95 - 2026-12-21	692	Barracuda	-	Marlies	-
97 - 2026-12-23	707	Wild	-	Marlies	-
99 - 2026-12-25	722	Marlies	-	Roadrunners	-
101 - 2026-12-27	734	Marlies	-	Penguins	-
102 - 2026-12-28	748	Rocket	-	Marlies	-
105 - 2026-12-31	766	Marlies	-	Wolves	-
106 - 2027-01-01	779	Senators	-	Marlies	-
109 - 2027-01-04	797	Griffins	-	Marlies	-
111 - 2027-01-06	811	Marlies	-	Comets	-
113 - 2027-01-08	820	Thunderbirds	-	Marlies	-
115 - 2027-01-10	836	Marlies	-	Stars	-
117 - 2027-01-12	847	Roadrunners	-	Marlies	-
118 - 2027-01-13	860	Marlies	-	Rocket	-
120 - 2027-01-15	874	Marlies	-	Firebirds	-
121 - 2027-01-16	883	Marlies	-	Comets	-
123 - 2027-01-18	894	Rocket	-	Marlies	-
126 - 2027-01-21	914	Moose	-	Marlies	-
128 - 2027-01-23	926	Marlies	-	Islanders	-
130 - 2027-01-25	940	Islanders	-	Marlies	-
133 - 2027-01-28	955	Marlies	-	Checkers	-
135 - 2027-01-30	970	Stars	-	Marlies	-
137 - 2027-02-01	985	Marlies	-	Eagles	-
139 - 2027-02-03	999	Eagles	-	Marlies	-
141 - 2027-02-05	1016	Phantoms	-	Marlies	-
144 - 2027-02-08	1031	Marlies	-	Griffins	-
145 - 2027-02-09	1040	Marlies	-	Senators	-
147 - 2027-02-11	1052	Wolves	-	Marlies	-
149 - 2027-02-13	1063	Marlies	-	Griffins	-
150 - 2027-02-14	1078	Phantoms	-	Marlies	-
154 - 2027-02-18	1101	IceHogs	-	Marlies	-
158 - 2027-02-22	1124	Americans	-	Marlies	-
159 - 2027-02-23	1135	Marlies	-	Thunderbirds	-
162 - 2027-02-26	1150	Americans	-	Marlies	-
163 - 2027-02-27	1155	Marlies	-	Checkers	-
164 - 2027-02-28	1162	Marlies	-	Thunderbirds	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	38	22
Attendance	4,755	2,250
Attendance PCT	79.25%	75.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	2335 - 77.83%	95,912$	287,737$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
257,448$	1,582,750$	1,582,750$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	113,736$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,740,581$	155	21,454$	3,325,370$

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
2	78	27	40	0	5	2	3	1	235	265	-30	39	17	17	0	2	2	1	0	125	128	-3	39	10	23	0	3	0	2	1	110	137	-27	73	235	421	656	1	0	0	87	84	56	2264	0	722	778	734	2492	744	363	1537	174	35	20.11%	146	33	77.40%	0	1213	2525	48.04%	1226	2546	48.15%	625	1303	47.97%	1776	1204	1904	580	1032	514
2	78	36	24	0	7	2	7	2	234	187	47	39	16	12	0	6	2	2	1	121	103	18	39	20	12	0	1	0	5	1	113	84	29	104	234	416	650	0	6	0	77	69	74	2489	0	843	776	831	2156	593	390	1495	199	36	18.09%	166	27	83.73%	1	1463	2675	54.69%	1389	2511	55.32%	699	1213	57.63%	1977	1379	1724	572	1044	538
3	82	43	29	0	1	5	2	2	258	228	30	41	26	9	0	1	2	2	1	144	100	44	41	17	20	0	0	3	0	1	114	128	-14	99	258	467	725	0	2	0	108	79	68	2728	0	923	873	909	2486	715	471	1665	185	32	17.30%	212	35	83.49%	5	1541	2845	54.17%	1435	2779	51.64%	676	1285	52.61%	1996	1391	1893	590	1067	534
4	82	40	25	0	5	7	3	2	278	213	65	41	25	12	0	0	2	1	1	150	93	57	41	15	13	0	5	5	2	1	128	120	8	105	278	506	784	1	5	0	107	86	77	2756	0	880	928	907	2452	730	413	1530	161	31	19.25%	167	36	78.44%	0	1573	2884	54.54%	1405	2638	53.26%	684	1280	53.44%	2049	1449	1874	580	1050	534
2020	82	32	38	0	3	7	1	1	281	287	-6	41	15	20	0	1	4	0	1	136	137	-1	41	17	18	0	2	3	1	0	145	150	-5	80	281	507	788	4	2	0	107	93	77	2783	0	887	953	923	2801	796	703	1941	242	47	19.42%	281	65	76.87%	4	1439	2935	49.03%	1428	2934	48.67%	654	1354	48.30%	1926	1322	1955	606	1063	525
2020	82	38	29	0	7	1	4	3	297	280	17	41	19	15	0	3	1	1	2	151	141	10	41	19	14	0	4	0	3	1	146	139	7	102	297	547	844	1	1	0	104	87	95	2879	0	877	980	980	2786	804	579	1878	255	53	20.78%	234	58	75.21%	0	1528	2947	51.85%	1476	2949	50.05%	642	1340	47.91%	1960	1349	1938	608	1073	539
2021	82	38	33	0	2	5	2	2	286	267	19	41	20	15	0	0	3	1	2	149	137	12	41	18	18	0	2	2	1	0	137	130	7	91	286	522	808	1	1	0	107	95	80	2699	0	897	862	920	2639	810	593	1952	255	60	23.53%	268	58	78.36%	1	1439	2929	49.13%	1347	2808	47.97%	652	1363	47.84%	1999	1393	1897	592	1056	531
2021	82	42	29	0	2	5	2	2	290	275	15	41	24	12	0	1	2	1	1	163	130	33	41	18	17	0	1	3	1	1	127	145	-18	99	290	519	809	1	4	0	111	81	94	2780	0	898	914	944	2845	846	543	1843	268	55	20.52%	202	49	75.74%	6	1446	2882	50.17%	1505	2980	50.50%	680	1350	50.37%	1903	1314	1999	611	1055	517
2022	82	33	31	0	8	2	4	4	275	262	13	41	17	18	0	2	1	2	1	132	132	0	41	16	13	0	6	1	2	3	143	130	13	96	275	494	769	0	2	0	107	81	75	2643	0	852	861	883	2714	836	591	1875	259	60	23.17%	248	42	83.06%	1	1517	2919	51.97%	1426	2808	50.78%	708	1322	53.56%	1985	1361	1927	598	1063	536
2022	82	32	32	0	9	6	0	3	286	271	15	41	18	15	0	3	4	0	1	147	129	18	41	14	17	0	6	2	0	2	139	142	-3	91	286	521	807	3	2	0	104	90	83	2739	0	896	858	949	2787	797	541	1794	275	60	21.82%	222	47	78.83%	0	1455	2953	49.27%	1404	2884	48.68%	652	1367	47.70%	1990	1390	1928	602	1055	526
2023	82	29	36	0	9	3	1	4	368	360	8	41	14	14	0	6	2	1	4	194	192	2	41	15	22	0	3	1	0	0	174	168	6	85	368	656	1024	0	3	0	124	123	111	3485	0	1107	1139	1194	3257	963	719	2052	305	65	21.31%	297	75	74.75%	5	1642	3297	49.80%	1531	3111	49.21%	790	1500	52.67%	2022	1429	1907	581	1031	519
2023	82	35	35	0	6	4	1	1	331	312	19	41	14	18	0	5	2	1	1	158	157	1	41	21	17	0	1	2	0	0	173	155	18	89	331	604	935	2	0	0	137	108	79	3117	0	989	1052	1054	3042	858	582	1931	307	78	25.41%	263	61	76.81%	4	1484	2968	50.00%	1576	3168	49.75%	767	1462	52.46%	1981	1376	1915	604	1052	528
2024	82	30	39	0	5	3	2	3	306	307	-1	41	18	19	0	1	1	1	1	146	145	1	41	12	20	0	4	2	1	2	160	162	-2	80	306	565	871	1	1	0	132	86	81	3215	0	1093	1009	1073	2999	869	796	2061	336	80	23.81%	330	65	80.30%	4	1778	3348	53.11%	1592	3101	51.34%	767	1434	53.49%	2028	1398	1880	595	1057	537
2025	82	35	31	0	8	4	2	2	284	265	19	41	20	15	0	2	2	1	1	151	134	17	41	15	16	0	6	2	1	1	133	131	2	96	284	513	797	0	3	0	112	88	74	2974	0	1012	1004	925	3005	816	704	2006	316	78	24.68%	290	64	77.93%	1	1487	3070	48.44%	1573	3199	49.17%	688	1336	51.50%	1941	1322	1957	623	1066	529
2026	7	4	2	0	1	0	0	0	32	28	4	3	3	0	0	0	0	0	0	16	9	7	4	1	2	0	1	0	0	0	16	19	-3	10	32	60	92	0	0	12	12	7	1	265	79	80	102	4	272	82	64	193	21	8	38.10%	28	6	78.57%	0	105	267	39.33%	115	275	41.82%	65	125	52.00%	156	106	177	49	88	42
Total Regular Season	1147	494	453	0	78	56	34	32	4041	3807	234	573	266	211	0	33	30	15	18	2083	1867	216	574	228	242	0	45	26	19	14	1958	1940	18	1300	4041	7318	11359	15	32	12	1536	1257	1125	39816	79	12956	13089	13230	38733	11259	8052	25753	3558	778	21.87%	3354	721	78.50%	32	21110	41444	50.94%	20428	40691	50.20%	9749	19034	51.22%	27697	19188	26882	8398	14861	7457
Playoff
1	7	3	4	0	0	0	0	0	20	17	3	4	2	2	0	0	0	0	0	13	10	3	3	1	2	0	0	0	0	0	7	7	0	6	20	39	59	0	1	0	12	4	4	202	0	79	61	49	207	66	69	186	20	4	20.00%	29	5	82.76%	0	148	254	58.27%	134	236	56.78%	61	124	49.19%	181	124	182	57	103	50
3	17	10	7	0	0	0	0	0	62	62	0	9	6	3	0	0	0	0	0	38	33	5	8	4	4	0	0	0	0	0	24	29	-5	20	62	109	171	0	0	0	25	22	14	533	0	167	192	173	571	160	99	356	41	8	19.51%	42	9	78.57%	1	318	601	52.91%	298	549	54.28%	156	290	53.79%	397	271	401	121	221	111
4	5	1	4	0	0	0	0	0	10	14	-4	3	0	3	0	0	0	0	0	4	10	-6	2	1	1	0	0	0	0	0	6	4	2	2	10	19	29	0	0	0	4	3	3	119	0	34	45	40	112	35	18	97	6	1	16.67%	9	4	55.56%	0	75	144	52.08%	70	135	51.85%	33	63	52.38%	115	79	120	36	64	32
2020	11	4	7	0	0	0	0	0	38	41	-3	6	2	4	0	0	0	0	0	21	23	-2	5	2	3	0	0	0	0	0	17	18	-1	8	38	69	107	0	0	0	16	11	10	357	0	135	111	101	405	117	76	254	31	11	35.48%	37	7	81.08%	0	176	368	47.83%	235	428	54.91%	99	190	52.11%	249	170	279	84	143	69
2021	6	2	4	0	0	0	0	0	16	23	-7	3	1	2	0	0	0	0	0	7	8	-1	3	1	2	0	0	0	0	0	9	15	-6	4	16	30	46	0	0	0	6	6	4	204	0	59	61	83	239	69	18	127	20	3	15.00%	8	1	87.50%	0	99	215	46.05%	97	222	43.69%	41	99	41.41%	131	87	155	45	80	39
2022	5	1	4	0	0	0	0	0	17	20	-3	2	0	2	0	0	0	0	0	6	9	-3	3	1	2	0	0	0	0	0	11	11	0	2	17	33	50	0	0	0	9	3	5	150	0	54	54	41	198	67	48	122	14	6	42.86%	21	4	80.95%	0	74	156	47.44%	99	201	49.25%	42	88	47.73%	114	76	127	38	66	32
2022	21	14	7	0	0	0	0	0	80	72	8	11	7	4	0	0	0	0	0	41	41	0	10	7	3	0	0	0	0	0	39	31	8	28	80	139	219	1	1	0	28	22	26	777	0	256	241	240	761	209	156	490	71	10	14.08%	63	12	80.95%	0	380	782	48.59%	416	824	50.49%	170	374	45.45%	507	351	532	163	283	139
2023	4	0	4	0	0	0	0	0	8	20	-12	2	0	2	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	5	12	-7	0	8	13	21	0	0	0	2	5	1	127	0	35	52	40	180	44	42	86	19	3	15.79%	20	10	50.00%	0	77	154	50.00%	80	174	45.98%	34	61	55.74%	90	57	98	32	51	26
2025	6	2	4	0	0	0	0	0	16	18	-2	3	1	2	0	0	0	0	0	8	10	-2	3	1	2	0	0	0	0	0	8	8	0	4	16	23	39	1	1	0	5	7	4	255	0	76	75	104	241	70	56	168	30	8	26.67%	24	4	83.33%	0	145	278	52.16%	118	271	43.54%	30	91	32.97%	133	89	147	46	78	37
Total Playoff	82	37	45	0	0	0	0	0	267	287	-20	43	19	24	0	0	0	0	0	141	152	-11	39	18	21	0	0	0	0	0	126	135	-9	74	267	474	741	2	3	0	107	83	71	2724	0	895	892	871	2914	837	582	1886	252	54	21.43%	253	56	77.87%	1	1492	2952	50.54%	1547	3040	50.89%	666	1380	48.26%	1920	1307	2044	626	1094	537