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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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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8	`?`	Wildcard for 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	Daniil But (R)		X			97.00	76	42	79	67	90	87	86	68	61	64	66	63	62	61	65	85	75	68	0
2	Tanner Laczynski	X				99.00	68	39	82	67	80	84	83	65	70	68	63	64	66	69	71	40	75	67	0
3	Jani Nyman			X		98.00	72	40	83	65	83	85	86	67	56	60	68	63	66	62	64	73	75	66	0
4	Luca Del Bel Belluz	X				99.00	63	37	95	68	74	84	87	66	70	67	64	62	68	64	65	73	75	66	0
5	Zack Ostapchuk	X	X			99.00	80	53	75	65	89	76	87	63	76	60	59	66	56	63	65	75	75	66	0
6	Jacob Quillan (R)	X				100.00	71	39	85	64	78	80	85	61	65	62	60	68	63	64	66	43	75	65	0
7	Sam Morton	X				100.00	74	37	87	65	71	85	87	63	66	61	62	64	65	68	70	37	75	65	0
8	Brody Lamb (R)			X		99.00	64	37	95	63	73	75	64	62	59	61	60	63	59	64	65	58	75	63	0
9	Tyler Thorpe (R)			X		100.00	82	59	69	60	91	66	86	57	65	62	52	61	54	61	63	58	75	63	0
10	Fabian Lysell			X		100.00	61	39	76	66	70	82	83	64	58	63	59	57	66	63	65	81	75	62	0
11	Garrett Pilon	X				100.00	64	39	82	62	73	76	83	58	69	65	57	59	63	68	73	53	75	62	0
12	Jared Wright (R)			X		100.00	65	37	94	67	73	83	89	58	53	61	55	60	56	64	66	48	75	62	0
13	Jayden Struble				X	99.00	76	83	72	67	76	81	82	64	30	67	55	62	49	65	67	71	75	65	0
14	Jakub Dvorak				X	100.00	81	43	76	55	90	62	77	54	30	53	52	58	45	61	63	71	75	59	0
15	William Trudeau				X	100.00	65	40	73	58	74	72	84	57	30	56	55	59	47	64	66	58	75	59	0
16	Mason Millman				X	100.00	63	38	90	57	72	65	78	56	30	55	54	58	46	65	67	59	75	58	0
17	Tyrel Bauer				X	100.00	76	68	56	54	85	66	81	53	30	52	51	57	45	64	66	48	75	58	0
18	Christoffer Sedoff				X	100.00	69	39	87	56	78	66	81	55	30	54	52	53	46	64	66	43	75	57	0
Scratches
1	Bogdan Trineyev			X		100.00	70	39	87	55	83	82	84	56	53	57	58	62	56	64	66	58	75	61	0
2	Ivan Ivan	X				100.00	62	38	84	63	72	77	89	59	61	58	57	60	56	64	66	43	75	61	0
3	Lucas Ciona		X			100.00	76	45	65	57	85	74	81	56	53	54	55	58	56	63	65	49	75	60	0
4	Francesco Pinelli (R)	X				100.00	62	39	77	59	71	83	85	57	60	58	59	56	55	63	65	74	75	59	0
5	James Malatesta		X			100.00	72	40	65	59	68	80	78	58	66	53	56	57	54	63	65	57	75	59	0
6	Ryan Tverberg	X				100.00	66	37	84	58	70	75	81	57	60	56	55	59	54	64	66	48	75	59	0
7	Ethan Gauthier (R)			X		100.00	62	38	94	57	71	72	81	56	52	55	54	58	53	61	63	76	75	58	0
8	Miko Matikka			X		100.00	72	39	92	56	81	69	74	55	58	54	53	57	56	63	65	66	75	58	0
9	Oasiz Wiesblatt (R)	X				100.00	63	45	55	57	63	75	85	56	60	59	58	53	56	62	64	45	75	58	0
10	Leon Muggli (R)				X	100.00	58	36	95	55	67	66	69	53	30	54	52	56	46	60	62	73	75	56	0

	TEAM AVERAGE					99.64	69	43	81	61	77	76	82	59	54	59	57	60	56	64	66	59	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	Thatcher Demko	99.00	84	79	74	85	83	82	84	83	82	84	83	76	85	59	75	82	0
2	Logan Terness (R)	100.00	73	71	67	73	72	71	73	72	71	73	72	64	71	43	75	72	0
Scratches
1	Vyacheslav Peksa (R)	100.00	63	73	69	80	62	61	63	62	61	63	62	65	71	48	75	65	0

	TEAM AVERAGE	99.67	73	74	70	79	72	71	73	72	71	73	72	68	76	50	75	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Marco Sturm	78	80	81	72	71	67	79	DEU	47	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	P/20	S1	S2	S3
1	Daniil But	Wolves (CAR)	LW	6	4	4	8	-3	2	20	16	35	7	22	11.43%	0	149	24.97	1	1	2	8	22	1	13	0	0	50.98%	153	1.07	1	0	1
2	Jacob Quillan	Wolves (CAR)	C	6	3	3	6	1	2	7	8	23	5	9	13.04%	1	88	14.69	0	0	0	0	0	0	0	0	0	58.33%	12	1.36	0	0	0
3	Zack Ostapchuk	Wolves (CAR)	C/LW	6	4	2	6	2	4	23	10	19	7	13	21.05%	3	117	19.51	1	0	1	5	21	0	9	0	1	71.43%	14	1.02	0	1	0
4	Brody Lamb	Wolves (CAR)	RW	6	3	2	5	2	2	0	8	24	6	12	12.50%	0	106	17.68	0	0	0	4	21	0	0	1	0	20.00%	10	0.94	0	0	0
5	Tanner Laczynski	Wolves (CAR)	C	6	1	4	5	0	8	6	26	18	3	12	5.56%	1	135	22.57	1	1	2	4	21	1	23	1	0	57.05%	156	0.74	0	0	0
6	Luca Del Bel Belluz	Wolves (CAR)	C	6	1	3	4	-1	0	4	21	17	2	17	5.88%	2	102	17.02	0	2	2	4	23	0	10	0	0	58.59%	99	0.78	0	0	0
7	William Trudeau	Wolves (CAR)	D	6	2	2	4	1	6	5	5	11	3	11	18.18%	8	132	22.04	1	0	1	5	24	0	20	1	0	0.00%	0	0.60	0	1	0
8	Christoffer Sedoff	Wolves (CAR)	D	6	0	3	3	2	2	12	0	1	1	3	0.00%	7	113	18.84	0	0	0	0	2	0	12	0	0	0.00%	0	0.53	0	1	0
9	Jayden Struble	Wolves (CAR)	D	6	0	3	3	-6	10	16	10	11	3	13	0.00%	8	146	24.49	0	1	1	4	18	0	19	0	0	0.00%	0	0.41	0	0	0
10	Jani Nyman	Wolves (CAR)	RW	6	0	3	3	-1	2	7	14	22	8	22	0.00%	2	141	23.56	0	0	0	5	23	0	29	0	0	48.81%	84	0.42	0	0	0
11	Mason Millman	Wolves (CAR)	D	6	0	2	2	1	0	10	3	4	0	3	0.00%	13	103	17.20	0	0	0	0	0	0	1	0	0	0.00%	0	0.39	0	0	0
12	Tyrel Bauer	Wolves (CAR)	D	6	0	2	2	3	6	15	3	7	2	4	0.00%	6	109	18.25	0	1	1	6	24	0	22	0	0	0.00%	0	0.37	0	0	0
13	Jakub Dvorak	Wolves (CAR)	D	6	0	1	1	-4	8	17	2	4	1	5	0.00%	3	118	19.68	0	0	0	3	18	0	16	0	0	0.00%	0	0.17	0	0	0
14	Sam Morton	Wolves (CAR)	C	6	1	0	1	-2	0	4	17	12	7	13	8.33%	1	93	15.52	0	0	0	0	0	0	0	0	0	48.84%	43	0.21	0	0	0
15	Tyler Thorpe	Wolves (CAR)	RW	6	0	1	1	0	4	12	3	6	4	9	0.00%	1	65	10.90	0	0	0	0	0	0	0	0	0	100.00%	1	0.31	0	0	0
16	Fabian Lysell	Wolves (CAR)	RW	6	0	0	0	-2	0	3	5	4	5	4	0.00%	0	29	4.95	0	0	0	0	0	0	0	0	0	66.67%	3	0.00	0	0	0
17	Garrett Pilon	Wolves (CAR)	C	6	0	0	0	0	0	0	0	0	0	0	0.00%	0	3	0.50	0	0	0	0	0	0	3	0	0	0.00%	1	0.00	0	0	0
Team Total or Average				102	19	35	54	-7	56	161	151	218	64	172	8.72%	56	1754	17.20	4	6	10	48	221	2	183	3	1	53.65%	576	0.62	1	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	A	ST	BG	S3
1	Thatcher Demko	Wolves (CAR)	4	3	1	0	0.917	2.76	239	11	133	2	4	0	1
2	Logan Terness	Wolves (CAR)	2	0	1	1	0.913	3.93	122	8	92	0	2	4	0
Team Total or Average			6	3	2	1	0.916	3.16	361	19	225	2	6	4	1

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Bogdan Trineyev	RW	25	2002-03-04	No	198 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Brody Lamb	RW	23	2003-08-30	Yes	179 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Christoffer Sedoff	D	25	2002-02-20	No	201 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Daniil But	LW	22	2005-02-15	Yes	203 Lbs	6 ft5	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ethan Gauthier	RW	22	2005-01-26	Yes	182 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Fabian Lysell	RW	24	2003-01-19	No	181 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Francesco Pinelli	C	24	2003-04-11	Yes	185 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Garrett Pilon	C	29	1998-04-13	No	191 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	1,100,000$	0$	0$	No	Link / NHL Link
Ivan Ivan	C	24	2002-08-20	No	190 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jacob Quillan	C	25	2002-02-02	Yes	204 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jakub Dvorak	D	22	2005-05-25	No	203 Lbs	6 ft5	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
James Malatesta	LW	24	2003-05-31	No	193 Lbs	5 ft9	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jani Nyman	RW	22	2004-07-30	No	212 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jared Wright	RW	24	2002-11-22	Yes	178 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Jayden Struble	D	25	2001-09-08	No	207 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Leon Muggli	D	20	2006-07-09	Yes	165 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Logan Terness	G	24	2002-09-18	Yes	174 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Luca Del Bel Belluz	C	23	2003-11-10	No	185 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Lucas Ciona	LW	24	2003-01-08	No	210 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Mason Millman	D	25	2001-07-18	No	175 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Miko Matikka	RW	23	2003-10-26	No	187 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Oasiz Wiesblatt	C	23	2004-04-08	Yes	180 Lbs	5 ft7	No	No	No	2	ELC	Pro & Farm	1,750,000$	0$	0$	No	Link / NHL Link
Ryan Tverberg	C	25	2002-01-30	No	187 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Sam Morton	C	27	1999-07-28	No	185 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Tanner Laczynski	C	30	1997-06-01	No	211 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	933,333$	0$	0$	No	Link / NHL Link
Thatcher Demko	G	31	1995-12-08	No	192 Lbs	6 ft4	No	No	Yes	4	UFA	Pro & Farm	3,813,000$	0$	0$	No	Link / NHL Link
Tyler Thorpe	RW	21	2005-08-11	Yes	210 Lbs	6 ft5	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Tyrel Bauer	D	25	2002-03-23	No	206 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	1,600,000$	0$	0$	No	Link / NHL Link
Vyacheslav Peksa	G	24	2002-08-27	Yes	181 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
William Trudeau	D	24	2002-10-11	No	197 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Zack Ostapchuk	C/LW	24	2003-05-29	No	212 Lbs	6 ft4	No	No	No	1	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
31	24.29	192 Lbs	6 ft1	1.87	1,052,301$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jacob Quillan	Daniil But	Jani Nyman	35	1	2	2
2	Zack Ostapchuk	Tanner Laczynski	Brody Lamb	30	1	2	2
3	Sam Morton	Luca Del Bel Belluz	Tyler Thorpe	20	1	2	2
4	Daniil But	Sam Morton	Fabian Lysell	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Christoffer Sedoff	Mason Millman	35	1	2	2
2	Jayden Struble	Jakub Dvorak	30	1	2	2
3	William Trudeau	Tyrel Bauer	20	1	2	2
4	William Trudeau	Jayden Struble	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Luca Del Bel Belluz	Daniil But	Jani Nyman	60	1	2	2
2	Zack Ostapchuk	Tanner Laczynski	Brody Lamb	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tyrel Bauer	William Trudeau	60	1	2	2
2	Jayden Struble	Jakub Dvorak	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jani Nyman	Tanner Laczynski	60	1	2	2
2	Daniil But	Zack Ostapchuk	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	William Trudeau	Tyrel Bauer	60	1	2	2
2	Jayden Struble	Jakub Dvorak	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jani Nyman	60	1	2	2	William Trudeau	Tyrel Bauer	60	1	2	2
2	Tanner Laczynski	40	1	2	2	Jayden Struble	Jakub Dvorak	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jani Nyman	Tanner Laczynski	60	1	2	2
2	Daniil But	Zack Ostapchuk	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tyrel Bauer	William Trudeau	60	1	2	2
2	Jayden Struble	Jakub Dvorak	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tanner Laczynski	Daniil But	Jani Nyman	William Trudeau	Jayden Struble

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tanner Laczynski	Daniil But	Jani Nyman	William Trudeau	Jayden Struble

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jacob Quillan, Tanner Laczynski, Luca Del Bel Belluz	Jacob Quillan, Tanner Laczynski	Luca Del Bel Belluz

Extra Defensemen
Normal	PowerPlay	Penalty Kill
William Trudeau, Tyrel Bauer, Jayden Struble	William Trudeau	Tyrel Bauer, Jayden Struble

Penalty Shots
Luca Del Bel Belluz, Tanner Laczynski, Daniil But, Zack Ostapchuk, Jani Nyman

Goalie
#1 : Thatcher Demko, #2 : Logan Terness

Custom OT Lines Forwards
Daniil But, Tanner Laczynski, Fabian Lysell, Zack Ostapchuk, Jani Nyman, Luca Del Bel Belluz, Luca Del Bel Belluz, Sam Morton, Jacob Quillan, Brody Lamb, Tyler Thorpe

Custom OT Lines Defensemen
Mason Millman, Tyrel Bauer, Jayden Struble, Jakub Dvorak, William Trudeau

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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	7	L1	19	35	54	218	225	56	56	161	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	2	1	1	0	0	19	19

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	0	0	1	0	0	10	8

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	2	1	0	0	0	9	11

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	2	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
26	4	15.38%	27	2	92.59%	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
76	69	72	1	7	5	6	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
118	223	52.91%	142	251	56.57%	49	99	49.49%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
145	100	141	46	75	37

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
3 - 2026-09-20	16	Phantoms	4	Wolves	3	L	X	BoxScore
4 - 2026-09-21	28	Wolves	2	Moose	4	L		BoxScore
6 - 2026-09-23	40	Wolves	5	Penguins	4	W	X	BoxScore
8 - 2026-09-25	54	Comets	2	Wolves	3	W		BoxScore
10 - 2026-09-27	70	Comets	2	Wolves	4	W		BoxScore
12 - 2026-09-29	83	Wolves	2	Monsters	3	L		BoxScore
14 - 2026-10-01	98	Americans	-	Wolves	-
16 - 2026-10-03	116	Rocket	-	Wolves	-
19 - 2026-10-06	136	Wolves	-	Canucks	-
20 - 2026-10-07	142	Wolves	-	Islanders	-
22 - 2026-10-09	155	Monsters	-	Wolves	-
24 - 2026-10-11	172	Bruins	-	Wolves	-
25 - 2026-10-12	183	Wolves	-	Marlies	-
27 - 2026-10-14	199	Wolves	-	Monsters	-
29 - 2026-10-16	211	Checkers	-	Wolves	-
31 - 2026-10-18	228	Penguins	-	Wolves	-
34 - 2026-10-21	246	Wolves	-	Senators	-
35 - 2026-10-22	255	Heat	-	Wolves	-
38 - 2026-10-25	275	Wolves	-	Comets	-
39 - 2026-10-26	284	Admirals	-	Wolves	-
41 - 2026-10-28	299	Wolves	-	Roadrunners	-
42 - 2026-10-29	310	Rocket	-	Wolves	-
45 - 2026-11-01	327	Wolves	-	Admirals	-
46 - 2026-11-02	337	Wolves	-	Islanders	-
48 - 2026-11-04	351	Condors	-	Wolves	-
50 - 2026-11-06	368	Penguins	-	Wolves	-
52 - 2026-11-08	380	Wolves	-	Penguins	-
54 - 2026-11-10	395	Wolves	-	Condors	-
56 - 2026-11-12	406	Firebirds	-	Wolves	-
57 - 2026-11-13	421	Americans	-	Wolves	-
59 - 2026-11-15	438	Wolves	-	Phantoms	-
62 - 2026-11-18	452	Thunderbirds	-	Wolves	-
64 - 2026-11-20	466	Wolves	-	IceHogs	-
65 - 2026-11-21	477	Eagles	-	Wolves	-
68 - 2026-11-24	493	Wolves	-	Eagles	-
69 - 2026-11-25	503	Wolves	-	Moose	-
71 - 2026-11-27	518	Roadrunners	-	Wolves	-
73 - 2026-11-29	534	Phantoms	-	Wolves	-
76 - 2026-12-02	552	Wolves	-	Heat	-
77 - 2026-12-03	561	Wolves	-	Islanders	-
79 - 2026-12-05	573	Islanders	-	Wolves	-
81 - 2026-12-07	588	Griffins	-	Wolves	-
83 - 2026-12-09	601	Wolves	-	Phantoms	-
85 - 2026-12-11	618	Islanders	-	Wolves	-
87 - 2026-12-13	628	Wolves	-	Silver Knights	-
89 - 2026-12-15	648	Stars	-	Wolves	-
90 - 2026-12-16	658	Wolves	-	Firebirds	-
92 - 2026-12-18	675	Griffins	-	Wolves	-
94 - 2026-12-20	687	Wolves	-	Stars	-
95 - 2026-12-21	697	Wolves	-	Comets	-
97 - 2026-12-23	712	Bruins	-	Wolves	-
100 - 2026-12-26	728	Wolves	-	Wild	-
101 - 2026-12-27	739	Canucks	-	Wolves	-
104 - 2026-12-30	759	Wolves	-	Rocket	-
105 - 2026-12-31	766	Marlies	-	Wolves	-
106 - 2027-01-01	781	Wolves	-	Griffins	-
108 - 2027-01-03	794	Comets	-	Wolves	-
111 - 2027-01-06	810	Wolves	-	Griffins	-
113 - 2027-01-08	822	Wolves	-	Heat	-
115 - 2027-01-10	831	Wolves	-	Penguins	-
116 - 2027-01-11	838	Senators	-	Wolves	-
118 - 2027-01-13	859	Phantoms	-	Wolves	-
121 - 2027-01-16	878	Monsters	-	Wolves	-
123 - 2027-01-18	891	Wolves	-	Monsters	-
125 - 2027-01-20	904	Wolves	-	Senators	-
126 - 2027-01-21	916	IceHogs	-	Wolves	-
128 - 2027-01-23	927	Wolves	-	Checkers	-
131 - 2027-01-26	943	Gulls	-	Wolves	-
133 - 2027-01-28	954	Wolves	-	Bruins	-
134 - 2027-01-29	969	Wolves	-	Gulls	-
136 - 2027-01-31	977	Silver Knights	-	Wolves	-
138 - 2027-02-02	993	Wolves	-	Barracuda	-
140 - 2027-02-04	1004	Checkers	-	Wolves	-
142 - 2027-02-06	1021	Wolves	-	Moose	-
143 - 2027-02-07	1030	Barracuda	-	Wolves	-
145 - 2027-02-09	1035	Wolves	-	Thunderbirds	-
147 - 2027-02-11	1052	Wolves	-	Marlies	-
149 - 2027-02-13	1062	Wild	-	Wolves	-
150 - 2027-02-14	1077	Wolves	-	Americans	-
153 - 2027-02-17	1091	Barracuda	-	Wolves	-
156 - 2027-02-20	1114	Senators	-	Wolves	-
161 - 2027-02-25	1142	Moose	-	Wolves	-
164 - 2027-02-28	1160	Moose	-	Wolves	-
165 - 2027-03-01	1170	Wolves	-	Canucks	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	25	15
Attendance	6,000	3,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	3000 - 100.00%	81,250$	243,750$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
258,632$	1,631,067$	1,631,067$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	114,920$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,168,750$	155	21,743$	3,370,165$

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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	36	30	0	3	5	3	1	237	216	21	39	17	16	0	1	2	2	1	114	113	1	39	19	14	0	2	3	1	0	123	103	20	90	237	417	654	2	5	0	87	81	63	2552	0	825	842	869	2148	646	427	1589	170	28	16.47%	185	30	83.78%	0	1479	2734	54.10%	1302	2454	53.06%	693	1273	54.44%	1903	1308	1760	568	1051	528
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
3	82	36	30	0	3	4	3	6	277	271	6	41	17	13	0	3	3	2	3	142	137	5	41	19	17	0	0	1	1	3	135	134	1	94	277	503	780	3	2	0	98	91	82	2743	0	882	888	917	2563	703	458	1641	209	38	18.18%	179	36	79.89%	2	1411	2847	49.56%	1373	2790	49.21%	670	1342	49.93%	1968	1359	1929	605	1081	546
4	82	48	23	0	1	4	3	3	298	209	89	41	24	11	0	1	2	2	1	142	93	49	41	24	12	0	0	2	1	2	156	116	40	111	298	545	843	1	3	0	136	76	82	2808	0	986	887	921	2513	746	367	1541	157	39	24.84%	168	21	87.50%	1	1620	2956	54.80%	1412	2705	52.20%	685	1331	51.47%	2018	1419	1893	579	1047	527
2020	82	38	31	0	6	5	2	0	298	279	19	41	19	14	0	5	2	1	0	153	132	21	41	19	17	0	1	3	1	0	145	147	-2	97	298	545	843	3	3	0	117	107	66	2997	0	959	1065	947	2731	757	577	1843	278	51	18.35%	242	47	80.58%	2	1511	3013	50.15%	1437	2859	50.26%	702	1388	50.58%	1999	1390	1898	595	1054	532
2021	82	30	34	0	7	4	0	7	251	265	-14	41	18	13	0	5	2	0	3	132	129	3	41	12	21	0	2	2	0	4	119	136	-17	85	251	461	712	2	4	0	92	80	72	2607	0	855	873	839	2583	739	570	1877	259	42	16.22%	257	58	77.43%	2	1537	2891	53.16%	1477	2828	52.23%	719	1329	54.10%	2024	1404	1901	600	1055	533
2021	82	22	45	0	2	8	1	4	232	296	-64	41	14	19	0	2	4	0	2	126	137	-11	41	8	26	0	0	4	1	2	106	159	-53	62	232	426	658	3	1	0	77	86	66	2635	0	831	884	895	2714	763	633	1914	257	50	19.46%	266	71	73.31%	2	1501	2881	52.10%	1549	2912	53.19%	727	1324	54.91%	1957	1353	1946	613	1066	526
2022	82	28	41	0	4	5	1	3	233	287	-54	41	15	21	0	2	2	0	1	119	138	-19	41	13	20	0	2	3	1	2	114	149	-35	74	233	414	647	3	3	0	88	68	72	2467	0	848	810	784	2688	812	606	1874	235	50	21.28%	258	54	79.07%	2	1467	2822	51.98%	1483	2947	50.32%	708	1320	53.64%	1936	1311	1938	611	1083	546
2022	82	27	38	0	5	8	3	1	265	289	-24	41	14	18	0	3	5	0	1	132	140	-8	41	13	20	0	2	3	3	0	133	149	-16	79	265	474	739	2	2	0	91	82	84	2346	0	820	733	757	2660	815	553	1878	249	53	21.29%	243	44	81.89%	6	1328	2700	49.19%	1402	2770	50.61%	666	1358	49.04%	1954	1335	1923	610	1087	543
2023	82	16	54	0	4	4	1	3	330	511	-181	41	9	26	0	2	1	1	2	161	239	-78	41	7	28	0	2	3	0	1	169	272	-103	49	330	573	903	1	1	0	143	96	86	3015	0	1032	947	1011	4294	1172	681	1992	293	79	26.96%	297	90	69.70%	1	1279	2794	45.78%	1308	3247	40.28%	632	1587	39.82%	1658	1132	2296	597	1001	461
2023	82	24	44	0	5	6	1	2	339	420	-81	41	14	20	0	2	4	1	0	179	200	-21	41	10	24	0	3	2	0	2	160	220	-60	68	339	614	953	2	0	0	134	115	84	3219	0	981	1106	1100	3543	1063	741	2098	295	63	21.36%	328	94	71.34%	7	1520	3051	49.82%	1458	3120	46.73%	708	1525	46.43%	1901	1312	2014	596	1035	503
2024	82	26	43	0	6	3	1	3	320	367	-47	41	14	20	0	4	1	0	2	154	175	-21	41	12	23	0	2	2	1	1	166	192	-26	72	320	587	907	3	2	0	130	99	84	3486	0	1235	1106	1120	3470	1010	833	2292	338	63	18.64%	337	90	73.29%	1	1363	3362	40.54%	1354	3411	39.70%	614	1457	42.14%	1912	1332	2034	609	1016	494
2025	82	32	31	0	5	7	4	3	302	299	3	41	17	15	0	1	5	1	2	148	155	-7	41	15	16	0	4	2	3	1	154	144	10	92	302	530	832	2	3	0	125	84	84	2908	0	987	924	950	2854	887	692	1968	327	58	17.74%	306	66	78.43%	4	1503	3056	49.18%	1530	2988	51.20%	714	1394	51.22%	1976	1354	1944	612	1061	535
2026	6	2	2	0	1	1	0	0	19	19	0	3	2	0	0	0	1	0	0	10	8	2	3	0	2	0	1	0	0	0	9	11	-2	7	19	35	54	0	0	7	5	6	1	218	76	69	72	1	225	56	56	161	26	4	15.38%	27	2	92.59%	0	118	223	52.91%	142	251	56.57%	49	99	49.49%	145	100	141	46	75	37
Total Regular Season	1064	396	476	0	58	69	27	38	3632	3968	-336	532	212	220	0	33	36	12	19	1824	1909	-85	532	184	256	0	25	33	15	19	1808	2059	-251	1069	3632	6535	10167	27	32	7	1392	1149	1000	36119	76	11972	11853	11815	37180	10846	7557	24186	3268	662	20.26%	3254	735	77.41%	33	18907	37757	50.08%	18511	37829	48.93%	8896	17973	49.50%	25179	17342	25469	7844	13779	6842
Playoff
1	14	7	7	0	0	0	0	0	37	41	-4	6	4	2	0	0	0	0	0	20	15	5	8	3	5	0	0	0	0	0	17	26	-9	14	37	71	108	0	0	0	12	12	11	393	0	136	119	115	441	120	117	369	57	12	21.05%	50	12	76.00%	1	234	475	49.26%	223	530	42.08%	113	225	50.22%	349	237	348	111	194	97
2	20	16	4	0	0	0	0	0	76	53	23	9	6	3	0	0	0	0	0	33	24	9	11	10	1	0	0	0	0	0	43	29	14	32	76	132	208	0	0	0	23	27	24	654	0	201	210	229	614	163	128	393	44	10	22.73%	53	10	81.13%	1	334	672	49.70%	398	706	56.37%	151	302	50.00%	476	330	472	147	264	131
3	7	3	4	0	0	0	0	0	24	27	-3	4	1	3	0	0	0	0	0	13	17	-4	3	2	1	0	0	0	0	0	11	10	1	6	24	44	68	0	0	0	8	6	10	277	0	72	76	109	269	69	48	147	15	4	26.67%	20	3	85.00%	0	145	294	49.32%	134	262	51.15%	59	126	46.83%	189	132	163	50	94	49
4	18	9	9	0	0	0	0	0	51	52	-1	10	5	5	0	0	0	0	0	29	29	0	8	4	4	0	0	0	0	0	22	23	-1	18	51	93	144	2	1	0	17	15	16	578	0	163	179	190	542	171	96	321	44	5	11.36%	45	9	80.00%	0	359	665	53.98%	289	600	48.17%	158	283	55.83%	445	305	441	134	241	122
2020	7	3	4	0	0	0	0	0	23	27	-4	3	1	2	0	0	0	0	0	8	12	-4	4	2	2	0	0	0	0	0	15	15	0	6	23	40	63	0	0	0	9	6	8	258	0	89	79	87	218	62	38	192	27	5	18.52%	19	8	57.89%	0	120	277	43.32%	113	225	50.22%	60	124	48.39%	174	120	160	49	89	46
2021	13	6	7	0	0	0	0	0	37	38	-1	6	4	2	0	0	0	0	0	18	17	1	7	2	5	0	0	0	0	0	19	21	-2	12	37	67	104	0	0	0	13	13	11	450	0	136	149	148	443	133	96	333	35	4	11.43%	45	10	77.78%	1	255	463	55.08%	265	485	54.64%	125	218	57.34%	321	221	325	99	174	88
2025	7	3	4	0	0	0	0	0	22	25	-3	4	2	2	0	0	0	0	0	13	12	1	3	1	2	0	0	0	0	0	9	13	-4	6	22	40	62	1	0	0	11	9	2	258	0	101	76	81	251	49	68	179	23	7	30.43%	22	5	77.27%	1	118	256	46.09%	119	268	44.40%	48	102	47.06%	164	113	165	53	89	43
Total Playoff	86	47	39	0	0	0	0	0	270	263	7	42	23	19	0	0	0	0	0	134	126	8	44	24	20	0	0	0	0	0	136	137	-1	94	270	487	757	3	1	0	93	88	82	2868	0	898	888	959	2778	767	591	1934	245	47	19.18%	254	57	77.56%	4	1565	3102	50.45%	1541	3076	50.10%	714	1380	51.74%	2122	1461	2077	646	1148	578