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	Eric Robinson		X			100.00	73	37	95	69	84	79	88	63	53	64	67	65	62	74	73	34	75	68	0
2	Braeden Bowman			X		100.00	64	38	94	66	78	82	87	65	63	68	64	62	65	63	66	42	75	66	0
3	Matvei Gridin (R)			X		100.00	63	38	92	67	74	89	88	68	65	69	62	64	67	61	63	82	75	66	0
4	Kasper Halttunen (R)			X		100.00	76	40	80	64	85	83	86	63	58	60	61	62	64	61	63	76	75	65	0
5	Mike Hardman (A)		X			100.00	72	38	92	61	81	79	82	58	62	63	59	64	57	67	69	37	75	64	0
6	Ben McCartney		X			100.00	62	42	66	64	71	84	83	61	65	63	62	60	64	66	67	47	75	63	0
7	Michael Pezzetta		X			100.00	83	78	62	63	82	70	73	59	51	53	55	57	56	69	70	41	75	61	0
8	Xavier Simoneau	X				100.00	65	42	64	61	63	66	79	57	62	60	56	63	59	65	67	48	75	61	0
9	Chase Wouters	X				100.00	62	39	72	58	71	81	87	56	62	59	57	55	58	66	71	42	75	59	0
10	Jake Leschyshyn	X				100.00	63	38	87	57	72	74	85	56	60	55	58	54	56	67	69	57	75	58	0
11	Callahan Burke	X				100.00	58	36	95	58	67	77	83	57	60	55	56	53	54	69	71	36	75	57	0
12	Sam Rinzel (R)				X	100.00	74	40	78	68	85	88	90	67	30	69	58	64	51	62	63	81	75	67	0
13	Andrej Sustr				X	100.00	90	49	56	54	99	63	61	53	30	52	50	61	45	76	78	21	75	61	0
14	Sebastian D. Aho				X	100.00	57	37	85	63	66	65	70	59	30	65	52	56	47	70	72	45	75	60	0
15	Blake Hillman				X	100.00	67	38	95	56	76	64	76	55	30	54	53	57	45	70	72	39	75	58	0
16	Jack Peart				X	100.00	61	38	85	56	70	66	81	55	30	54	53	57	46	63	65	70	75	57	0
17	Michael Buchinger				X	100.00	59	38	81	56	68	66	80	55	30	53	54	52	46	62	64	66	75	56	0
Scratches
1	Ozzy Wiesblatt	X	X	X		100.00	70	42	68	64	67	77	80	62	63	61	57	62	60	64	66	76	75	62	0
2	Riley Kidney	X				100.00	60	39	80	59	69	67	72	58	61	57	52	53	54	63	65	67	75	57	0
3	Reece Newkirk	X				100.00	61	42	69	56	70	64	66	55	59	58	52	54	53	65	67	54	75	57	0
4	Zach Bogosian				X	100.00	70	72	84	65	90	86	83	62	30	69	59	73	50	87	76	43	75	69	0

	TEAM AVERAGE					100.00	67	43	80	61	76	75	80	59	50	60	57	59	55	67	68	53	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	Magnus Chrona	100.00	73	81	77	85	72	71	73	72	71	73	72	66	75	47	75	73	0
2	Henrik Tikkanen (R)	100.00	71	82	78	98	70	69	71	70	69	71	70	66	75	47	75	72	0
Scratches
1	Ty Young (R)	100.00	70	76	72	80	69	68	70	69	68	70	69	62	67	56	75	70	0

	TEAM AVERAGE	100.00	71	80	76	88	70	69	71	70	69	71	70	65	72	50	75	72

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Brett McLean	65	61	65	68	72	67	78	CAN	48	4	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
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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
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	Eric Robinson	Monsters (CBJ)	LW	6	6	6	12	6	0	14	13	32	10	31	18.75%	1	144	24.04	0	0	0	5	26	1	12	1	1	32.43%	37	1	1.66	3	0	0
2	Sam Rinzel	Monsters (CBJ)	D	6	1	9	10	2	0	12	6	17	6	12	5.88%	7	140	23.48	0	1	1	10	27	0	13	0	0	0.00%	0	0	1.42	0	1	0
3	Mike Hardman	Monsters (CBJ)	LW	6	2	6	8	-3	2	4	15	18	4	16	11.11%	2	126	21.01	0	4	4	6	25	0	5	0	0	58.33%	12	0	1.27	0	0	0
4	Braeden Bowman	Monsters (CBJ)	RW	6	2	5	7	-4	2	4	22	25	11	20	8.00%	1	131	21.98	1	1	2	11	25	0	12	1	0	52.27%	44	0	1.06	0	1	0
5	Sebastian D. Aho	Monsters (CBJ)	D	6	3	4	7	5	4	10	7	8	2	4	37.50%	3	131	22.00	1	1	2	5	23	0	13	0	0	0.00%	0	0	1.06	1	0	0
6	Matvei Gridin	Monsters (CBJ)	RW	6	1	4	5	3	4	4	10	26	6	21	3.85%	3	119	19.89	0	0	0	4	18	0	11	0	0	45.45%	11	0	0.84	0	0	1
7	Blake Hillman	Monsters (CBJ)	D	6	2	2	4	4	4	10	5	7	1	2	28.57%	10	118	19.71	1	1	2	4	17	0	10	0	0	0.00%	0	0	0.68	0	0	1
8	Andrej Sustr	Monsters (CBJ)	D	6	2	2	4	-1	12	19	5	5	4	8	40.00%	7	135	22.52	1	0	1	3	25	0	10	0	1	0.00%	0	0	0.59	0	0	0
9	Jake Leschyshyn	Monsters (CBJ)	C	6	1	3	4	1	0	4	4	9	1	3	11.11%	0	62	10.41	0	0	0	4	7	0	2	0	0	47.25%	91	0	1.28	0	0	0
10	Chase Wouters	Monsters (CBJ)	C	6	2	1	3	-2	2	3	10	10	3	5	20.00%	0	76	12.68	0	0	0	0	0	0	0	0	0	35.29%	102	0	0.79	0	0	1
11	Xavier Simoneau	Monsters (CBJ)	C	6	2	1	3	-2	0	11	18	21	2	8	9.52%	3	115	19.18	1	1	2	5	24	0	2	2	0	48.00%	150	0	0.52	0	1	0
12	Kasper Halttunen	Monsters (CBJ)	RW	6	1	1	2	-2	0	8	8	13	6	14	7.69%	1	86	14.35	0	0	0	1	3	1	6	0	0	54.55%	11	0	0.46	0	0	0
13	Callahan Burke	Monsters (CBJ)	C	6	1	0	1	4	0	1	0	4	1	1	25.00%	1	30	5.02	0	0	0	1	3	0	1	0	1	38.89%	36	0	0.66	0	0	0
14	Michael Buchinger	Monsters (CBJ)	D	5	0	1	1	-4	8	6	4	3	0	0	0.00%	3	77	15.50	0	0	0	0	0	0	7	0	0	0.00%	0	0	0.26	0	0	0
15	Zach Bogosian	Monsters (CBJ)	D	1	0	1	1	-1	0	1	2	0	1	0	0.00%	4	14	14.52	0	0	0	0	0	0	0	0	0	0.00%	0	0	1.38	0	0	0
16	Ben McCartney	Monsters (CBJ)	LW	6	0	0	0	-4	0	5	7	10	4	10	0.00%	6	95	15.90	0	0	0	2	8	0	3	0	0	50.00%	8	0	0.00	0	0	0
17	Jack Peart	Monsters (CBJ)	D	6	0	0	0	-6	0	6	1	5	1	1	0.00%	12	101	16.88	0	0	0	0	9	0	5	0	0	0.00%	0	0	0.00	0	0	0
18	Ozzy Wiesblatt	Monsters (CBJ)	C/LW/RW	5	0	0	0	-1	2	9	5	4	1	0	0.00%	0	40	8.15	0	0	0	3	12	0	0	0	0	31.67%	60	0	0.00	0	0	0
19	Michael Pezzetta	Monsters (CBJ)	LW	6	0	0	0	3	2	3	2	2	0	1	0.00%	0	20	3.40	0	0	0	0	0	1	2	0	0	58.33%	12	0	0.00	0	0	0
Team Total or Average				107	26	46	72	-2	42	134	144	219	64	157	11.87%	64	1767	16.52	5	9	14	64	260	3	122	4	3	43.21%	574	1	0.81	4	3	3

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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	S3
1	Magnus Chrona	Monsters (CBJ)	5	3	0	0.887	4.25	254	18	159	4	2	1
2	Justus Annunen	Blue Jackets	2	1	1	0.857	6.09	69	7	49	2	0	0
3	Henrik Tikkanen	Monsters (CBJ)	1	0	1	0.895	3.43	35	2	19	0	4	0
Team Total or Average			8	4	2	0.881	4.50	360	27	227	6	6	1

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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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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
Andrej Sustr	D	36	1990-11-29	No	217 Lbs	6 ft7	No	No	No	2	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Ben McCartney	LW	25	2001-07-13	No	182 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Blake Hillman	D	31	1996-01-26	No	193 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Braeden Bowman	RW	24	2003-06-26	No	205 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Callahan Burke	C	30	1997-03-19	No	183 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Chase Wouters	C	27	2000-02-08	No	182 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Eric Robinson	LW	32	1995-06-14	No	220 Lbs	6 ft2	No	No	Yes	2	UFA	Pro & Farm	1,995,000$	0$	0$	No	Link / NHL Link
Henrik Tikkanen	G	26	2000-09-28	Yes	222 Lbs	6 ft8	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jack Peart	D	24	2003-05-15	No	186 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jake Leschyshyn	C	28	1999-03-10	No	198 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Kasper Halttunen	RW	22	2005-06-07	Yes	207 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Magnus Chrona	G	26	2000-08-28	No	194 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Matvei Gridin	RW	21	2006-03-01	Yes	182 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Michael Buchinger	D	23	2004-04-25	No	178 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Michael Pezzetta	LW	29	1998-03-13	No	222 Lbs	6 ft1	No	No	No	4	UFA	Pro & Farm	1,433,333$	0$	0$	No	Link / NHL Link
Mike Hardman	LW	28	1999-02-05	No	205 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Ozzy Wiesblatt	C/LW/RW	25	2002-03-09	No	183 Lbs	5 ft10	No	No	No	4	ELC	Pro & Farm	1,550,000$	0$	0$	No	Link / NHL Link
Reece Newkirk	C	26	2001-02-20	No	178 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Riley Kidney	C	24	2003-03-25	No	181 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Sam Rinzel	D	23	2004-06-25	Yes	194 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Sebastian D. Aho	D	31	1996-02-17	No	180 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Ty Young	G	22	2004-09-11	Yes	181 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Xavier Simoneau	C	26	2001-05-19	No	183 Lbs	5 ft6	No	No	No	4	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Zach Bogosian	D	36	1990-07-15	No	231 Lbs	6 ft3	No	No	Yes	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	26.88	195 Lbs	6 ft1	2.25	957,431$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Eric Robinson		Matvei Gridin	35	1	2	2
2	Mike Hardman	Xavier Simoneau	Braeden Bowman	30	1	2	2
3	Ben McCartney	Chase Wouters	Kasper Halttunen	20	1	2	2
4	Michael Pezzetta	Jake Leschyshyn	Eric Robinson	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sam Rinzel	Andrej Sustr	35	1	2	2
2	Sebastian D. Aho	Blake Hillman	30	1	2	2
3	Jack Peart	Michael Buchinger	20	1	2	2
4	Sam Rinzel	Andrej Sustr	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Eric Robinson		Matvei Gridin	60	1	2	2
2	Mike Hardman	Xavier Simoneau	Braeden Bowman	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sam Rinzel	Andrej Sustr	60	1	2	2
2	Sebastian D. Aho	Blake Hillman	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Eric Robinson	Matvei Gridin	60	1	2	2
2	Braeden Bowman	Kasper Halttunen	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sam Rinzel	Andrej Sustr	60	1	2	2
2	Sebastian D. Aho	Blake Hillman	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Eric Robinson	60	1	2	2	Sam Rinzel	Andrej Sustr	60	1	2	2
2	Matvei Gridin	40	1	2	2	Sebastian D. Aho	Blake Hillman	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Eric Robinson	Matvei Gridin	60	1	2	2
2	Braeden Bowman	Kasper Halttunen	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sam Rinzel	Andrej Sustr	60	1	2	2
2	Sebastian D. Aho	Blake Hillman	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Eric Robinson		Matvei Gridin	Sam Rinzel	Andrej Sustr

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Eric Robinson		Matvei Gridin	Sam Rinzel	Andrej Sustr

Extra Forwards
Normal	PowerPlay	Penalty Kill
Callahan Burke, Ben McCartney, Michael Pezzetta	Callahan Burke, Ben McCartney	Michael Pezzetta

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jack Peart, Michael Buchinger, Sebastian D. Aho	Jack Peart	Michael Buchinger, Sebastian D. Aho

Penalty Shots
Eric Robinson, Matvei Gridin, Braeden Bowman, Kasper Halttunen, Mike Hardman

Goalie
#1 : Magnus Chrona, #2 : Henrik Tikkanen

Custom OT Lines Forwards
Eric Robinson, Matvei Gridin, Braeden Bowman, Kasper Halttunen, Mike Hardman, Ben McCartney, Ben McCartney, , Xavier Simoneau, Michael Pezzetta, Chase Wouters

Custom OT Lines Defensemen
Sam Rinzel, Andrej Sustr, Sebastian D. Aho, Blake Hillman, Jack Peart

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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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	8	W2	26	46	72	219	227	64	42	134	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	2	1	0	0	0	26	27

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	1	0	0	0	8	9

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	18	18

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	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
28	5	17.86%	20	6	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
67	70	81	1	7	10	8	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
108	234	46.15%	103	231	44.59%	37	108	34.26%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
141	97	140	46	77	38

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
1 - 2026-09-02	9	Wolves	3	Monsters	4	W	X	BoxScore
2 - 2026-09-03	21	Monsters	3	Penguins	8	L		BoxScore
3 - 2026-09-04	27	Monsters	5	Wolves	3	W		BoxScore
4 - 2026-09-05	44	Islanders	6	Monsters	4	L		BoxScore
5 - 2026-09-06	59	Monsters	4	Moose	3	W		BoxScore
6 - 2026-09-07	66	Monsters	6	Islanders	4	W		BoxScore
8 - 2026-09-09	81	Moose	-	Monsters	-
9 - 2026-09-10	90	Monsters	-	Phantoms	-
10 - 2026-09-11	108	Phantoms	-	Monsters	-
12 - 2026-09-13	126	Comets	-	Monsters	-
14 - 2026-09-15	139	Monsters	-	Comets	-
17 - 2026-09-18	162	Penguins	-	Monsters	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	40	23
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,148,917$	1,148,917$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	11	0$	0$

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	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
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
3	82	45	22	0	5	4	4	2	287	214	73	41	21	11	0	3	3	2	1	138	109	29	41	24	11	0	2	1	2	1	149	105	44	114	287	500	787	0	5	0	106	93	79	2722	0	883	899	909	2326	687	473	1702	218	50	22.94%	213	45	78.87%	2	1572	2868	54.81%	1376	2607	52.78%	706	1289	54.77%	2031	1406	1852	599	1083	546
4	82	42	24	0	9	4	2	1	261	213	48	41	23	11	0	5	1	1	0	131	100	31	41	19	13	0	4	3	1	1	130	113	17	111	261	465	726	2	4	0	96	86	68	2854	0	892	956	968	2505	738	290	1506	166	43	25.90%	126	25	80.16%	1	1587	2951	53.78%	1494	2766	54.01%	673	1261	53.37%	1993	1402	1924	585	1051	529
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
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	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
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
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
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
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
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
2024	82	32	40	0	6	1	1	2	280	331	-51	41	16	19	0	2	1	1	2	145	167	-22	41	16	21	0	4	0	0	0	135	164	-29	81	280	495	775	4	2	0	98	79	96	2944	0	945	905	1054	3386	976	837	2077	318	67	21.07%	357	93	73.95%	2	1655	3145	52.62%	1751	3412	51.32%	707	1426	49.58%	1848	1242	2050	633	1055	513
2025	82	27	38	0	3	8	3	3	268	315	-47	41	17	13	0	2	6	1	2	142	150	-8	41	10	25	0	1	2	2	1	126	165	-39	77	268	471	739	2	2	0	84	81	97	2836	0	912	888	985	3196	884	699	2073	325	62	19.08%	299	72	75.92%	1	1551	3037	51.07%	1638	3349	48.91%	660	1373	48.07%	1861	1266	2049	630	1062	511
Total Regular Season	1140	477	463	0	78	58	31	33	3883	3956	-73	570	246	216	0	45	31	14	18	1975	1937	38	570	231	247	0	33	27	17	15	1908	2019	-111	1263	3883	6948	10831	26	42	0	1444	1206	1124	38998	0	12654	12765	13124	39473	11309	7795	25474	3566	754	21.14%	3321	756	77.24%	24	21014	40680	51.66%	20616	40961	50.33%	9640	18978	50.80%	27071	18674	27178	8422	14781	7353
Playoff
1	5	1	4	0	0	0	0	0	14	19	-5	2	1	1	0	0	0	0	0	6	6	0	3	0	3	0	0	0	0	0	8	13	-5	2	14	24	38	1	0	0	7	5	2	171	0	67	52	38	166	41	42	118	16	5	31.25%	20	5	75.00%	1	103	184	55.98%	88	182	48.35%	38	86	44.19%	126	89	126	38	69	34
2	22	14	8	0	0	0	0	0	70	57	13	12	10	2	0	0	0	0	0	45	24	21	10	4	6	0	0	0	0	0	25	33	-8	28	70	129	199	0	2	0	19	26	22	737	0	203	244	268	641	173	94	425	52	8	15.38%	43	3	93.02%	1	407	812	50.12%	384	714	53.78%	176	332	53.01%	565	389	494	163	304	157
3	24	13	11	0	0	0	0	0	81	81	0	12	7	5	0	0	0	0	0	43	43	0	12	6	6	0	0	0	0	0	38	38	0	26	81	145	226	0	0	0	35	19	23	753	0	259	219	262	773	213	134	476	59	11	18.64%	56	10	82.14%	0	434	814	53.32%	441	802	54.99%	226	396	57.07%	574	395	569	177	315	156
4	13	6	7	0	0	0	0	0	35	36	-1	7	4	3	0	0	0	0	0	21	18	3	6	2	4	0	0	0	0	0	14	18	-4	12	35	63	98	0	1	0	15	11	8	434	0	141	150	113	377	130	46	236	31	6	19.35%	21	4	80.95%	0	217	465	46.67%	215	424	50.71%	106	203	52.22%	340	240	306	97	174	88
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
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	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
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
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
Total Playoff	126	63	63	0	0	0	0	0	402	414	-12	64	37	27	0	0	0	0	0	213	200	13	62	26	36	0	0	0	0	0	189	214	-25	126	402	719	1121	2	4	0	150	124	115	4268	0	1380	1358	1380	4203	1191	742	2737	361	66	18.28%	332	70	78.92%	3	2268	4534	50.02%	2334	4480	52.10%	1075	2083	51.61%	3080	2123	3049	952	1689	845