LSMH - LIGUE SIMULE DES MORDUS DE HOCKEY

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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	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	Adam Gaudette			X		100.00	68	51	86	68	75	90	88	66	76	61	71	63	68	72	71	45	75	67	0
2	Brock McGinn		X			100.00	78	35	95	64	73	78	68	62	55	60	61	78	63	75	71	56	75	67	0
3	Fedor Svechkov	X				100.00	63	38	89	68	72	81	83	69	72	65	64	67	66	63	64	83	75	66	0
4	Jakub Lauko	X				100.00	82	56	78	67	76	74	82	63	62	61	60	66	63	65	67	62	75	66	0
5	Brad Lambert	X				100.00	63	37	84	67	72	87	85	64	69	66	58	63	65	62	64	78	75	64	0
6	Danil Gushchin		X			100.00	61	36	84	67	62	90	84	66	68	63	65	61	69	63	65	67	75	64	0
7	Logan Morrison	X				100.00	61	36	95	64	70	82	86	63	68	62	58	56	61	63	65	44	75	61	0
8	Brendan Furry		X			100.00	68	39	80	59	77	80	82	58	55	56	57	58	56	67	69	37	75	60	0
9	Luke Toporowski		X			100.00	60	39	80	61	69	84	82	58	62	60	59	56	58	64	66	43	75	60	0
10	Jordan Dumais (R)			X		100.00	60	35	94	62	64	71	63	61	65	60	59	57	64	61	63	65	75	60	0
11	Dylan Coghlan				X	100.00	70	39	80	64	82	90	79	63	30	61	59	65	50	67	69	37	75	65	0
12	William Villeneuve				X	100.00	63	40	75	66	72	70	80	65	30	68	54	57	48	63	65	58	75	62	0
13	William Wallinder				X	100.00	76	39	94	59	85	65	84	58	30	57	52	63	45	63	65	77	75	62	0
14	Anton Johansson				X	100.00	72	43	70	58	81	66	61	57	30	64	50	59	46	61	63	62	75	61	0
15	Calen Addison				X	100.00	58	40	71	65	67	73	85	63	30	66	54	56	48	65	67	68	75	61	0
16	Brandon Scanlin				X	100.00	77	40	83	58	91	75	84	56	30	53	55	59	47	66	68	42	75	61	0
17	Elias Salomonsson (R)				X	100.00	60	38	86	62	69	70	69	58	30	63	54	55	47	61	63	71	75	59	0
Scratches
1	Anthony Vincent			X		100.00	63	42	66	58	72	80	76	57	59	55	56	54	58	67	70	36	75	58	0
2	Felix Unger Sorum (R)			X		100.00	62	37	94	59	71	69	71	57	61	58	54	56	55	60	62	69	75	58	0
3	Jackson Cates	X				100.00	63	38	91	56	72	80	84	55	62	54	57	53	56	68	70	36	75	57	0
4	Ryan O'Rourke				X	100.00	61	39	74	56	70	65	84	54	30	55	52	57	45	63	65	75	75	57	0
5	Andrew Lucas				X	100.00	61	37	95	55	70	65	64	54	30	58	50	53	45	66	68	42	75	56	0

	TEAM AVERAGE					100.00	66	40	84	62	73	77	78	60	50	60	57	60	56	65	66	57	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	Erik Portillo	100.00	77	83	79	96	76	75	77	76	75	77	76	65	73	64	75	77	0
2	Cal Petersen	100.00	75	83	78	77	74	73	75	74	73	75	74	72	85	52	75	74	0
Scratches
1	Michael Simpson	100.00	66	72	68	75	65	64	66	65	64	66	65	62	67	44	75	66	0

	TEAM AVERAGE	100.00	73	79	75	83	72	71	73	72	71	73	72	66	75	53	75	72

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Chris Taylor	65	68	70	66	79	74	70	CAN	53	1	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	William Villeneuve	Canucks (VAN)	D	61	13	52	65	-21	66	0	169	126	154	49	114	8.44%	114	1328	21.78	9	14	23	86	215	0	1	1	1	146	1	2	0.00%	0	0	0.98	3	9	0	0	2	3	6
2	Logan Morrison	Canucks (VAN)	C	78	33	30	63	1	22	0	63	189	249	60	175	13.25%	12	1164	14.92	0	0	0	0	0	0	0	0	0	5	2	2	52.05%	707	1	1.08	0	2	0	0	8	1	4
3	Jordan Dumais	Canucks (VAN)	RW	59	17	23	40	-9	12	0	58	100	171	41	131	9.94%	12	952	16.15	0	6	6	17	92	0	0	0	0	0	0	0	51.09%	92	0	0.84	1	2	0	0	4	0	3
4	Brad Lambert	Canucks (VAN)	C	66	16	22	38	10	19	5	76	153	157	42	110	10.19%	12	718	10.88	0	0	0	2	7	0	0	0	0	31	2	0	48.08%	965	0	1.06	0	2	0	0	3	4	1
5	Fedor Svechkov	Canucks (VAN)	C	40	12	21	33	-8	18	0	66	149	183	50	115	6.56%	14	718	17.95	4	5	9	35	88	0	0	0	0	27	2	2	49.04%	985	0	0.92	1	4	0	0	2	4	0
6	Luke Toporowski	Canucks (VAN)	LW	78	12	20	32	4	16	0	56	57	137	38	103	8.76%	17	774	9.92	0	0	0	0	2	0	0	0	0	0	5	0	46.53%	101	0	0.83	2	6	0	0	2	4	0
7	Danil Gushchin	Canucks (VAN)	LW	34	19	11	30	-2	8	0	63	70	140	36	105	13.57%	8	584	17.18	6	6	12	24	82	0	0	0	0	0	3	1	39.58%	48	1	1.03	1	2	0	0	2	3	2
8	Calen Addison	Canucks (VAN)	D	78	4	25	29	-5	44	10	69	73	52	14	31	7.69%	69	819	10.51	0	0	0	6	23	0	0	0	0	3	0	0	75.00%	4	0	0.71	0	0	1	0	1	1	1
9	Jakub Lauko	Canucks (VAN)	C	23	11	13	24	-2	14	0	70	76	119	41	78	9.24%	8	455	19.80	4	5	9	32	92	0	0	0	0	18	0	0	43.25%	585	0	1.05	1	4	0	0	1	3	1
10	William Wallinder	Canucks (VAN)	D	27	4	12	16	1	6	0	30	37	46	15	38	8.70%	41	517	19.18	1	5	6	21	86	0	1	1	1	57	0	0	0.00%	0	0	0.62	0	0	0	0	1	0	0
11	Brandon Scanlin	Canucks (VAN)	D	32	3	11	14	3	41	5	66	23	45	16	45	6.67%	42	599	18.73	2	4	6	24	100	0	1	1	1	67	0	0	0.00%	0	0	0.47	0	0	0	1	0	1	2
12	Anton Johansson	Canucks (VAN)	D	55	2	9	11	-9	34	0	90	31	26	8	12	7.69%	56	566	10.30	0	0	0	0	2	1	1	2	2	35	0	0	0.00%	0	0	0.39	0	0	0	0	0	0	0
13	Adam Gaudette	Canucks (VAN)	RW	2	1	2	3	0	0	0	0	4	8	5	8	12.50%	0	42	21.35	0	1	1	1	5	1	0	1	1	9	0	0	25.00%	4	0	1.41	0	0	0	0	0	0	0
14	Brendan Furry	Canucks (VAN)	LW	30	2	1	3	-5	2	0	12	15	25	3	17	8.00%	4	166	5.56	0	0	0	0	0	0	0	0	1	25	0	0	38.60%	57	0	0.36	0	0	0	0	0	0	2
15	Dylan Coghlan	Canucks (VAN)	D	9	0	3	3	-6	12	0	18	14	23	3	8	0.00%	13	226	25.12	0	2	2	13	31	0	0	0	0	23	0	0	0.00%	0	0	0.27	0	0	0	0	0	0	0
16	Elias Salomonsson	Canucks (VAN)	D	3	0	0	0	0	0	0	0	2	2	0	0	0.00%	1	21	7.14	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0
Team Total or Average				675	149	255	404	-48	314	20	906	1119	1537	421	1090	9.69%	423	9655	14.30	26	48	74	261	833	2	4	6	7	453	15	7	48.11%	3548	2	0.84	9	31	1	1	26	24	22

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Erik Portillo	Canucks (VAN)	34	18	8	6	0.906	3.45	1950	4	112	1189	2	0.808	26	34	0	3	1	2
2	Cal Petersen	Canucks (VAN)	7	4	0	1	0.909	4.23	312	0	22	242	0	1.000	2	3	37	1	0	0
Team Total or Average			41	22	8	7	0.906	3.55	2263	4	134	1431	2	0.821	28	37	37	4	1	2

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

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 Gaudette	RW	29	1996-10-03	No	187 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Andrew Lucas	D	27	1999-02-05	No	179 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link
Anthony Vincent	RW	28	1997-08-12	No	190 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Anton Johansson	D	22	2004-06-10	No	172 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	925,000$	0$	0$	No	Link
Brad Lambert	C	22	2003-12-19	No	173 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Brandon Scanlin	D	27	1999-06-02	No	218 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Brendan Furry	LW	27	1998-07-08	No	198 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link
Brock McGinn	LW	32	1994-02-02	No	191 Lbs	6 ft0	No	No	Yes	1	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Cal Petersen	G	31	1994-10-19	No	185 Lbs	6 ft2	No	No	Yes	2	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Calen Addison	D	26	2000-04-11	No	173 Lbs	5 ft11	No	No	Yes	3	RFA	Pro & Farm	2,200,000$	0$	0$	No	Link / NHL Link
Danil Gushchin	LW	24	2002-02-06	No	165 Lbs	5 ft8	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Dylan Coghlan	D	28	1998-02-19	No	208 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	762,500$	0$	0$	No	Link / NHL Link
Elias Salomonsson	D	21	2004-08-31	Yes	172 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Erik Portillo	G	25	2000-09-03	No	218 Lbs	6 ft6	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Fedor Svechkov	C	23	2003-04-05	No	187 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Felix Unger Sorum	RW	20	2005-09-14	Yes	184 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Jackson Cates	C	28	1997-09-26	No	190 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	1,200,000$	0$	0$	No	Link / NHL Link
Jakub Lauko	C	26	2000-03-28	No	193 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	787,500$	0$	0$	No	Link / NHL Link
Jordan Dumais	RW	22	2004-04-15	Yes	173 Lbs	5 ft8	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Logan Morrison	C	23	2002-07-09	No	179 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Luke Toporowski	LW	25	2001-04-12	No	183 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Michael Simpson	G	22	2003-09-03	No	188 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	925,000$	0$	0$	No	Link
Ryan O'Rourke	D	24	2002-05-16	No	178 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
William Villeneuve	D	24	2002-03-20	No	175 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
William Wallinder	D	23	2002-07-28	No	191 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	25.16	186 Lbs	6 ft1	1.76	959,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2				30	1	2	2
3	Luke Toporowski		Logan Morrison	20	1	2	2
4		Logan Morrison		15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	1	2	2
2			30	1	2	2
3	Calen Addison		20	1	2	2
4			15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Luke Toporowski,	, Luke Toporowski

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Calen Addison, ,	Calen Addison	,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , Logan Morrison, , Luke Toporowski,

Custom OT Lines Defensemen
, , , , Calen Addison

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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
78	77	L1	303	555	858	3327	3292	994	739	2030	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
78	21	34	6	8	6	3	303	352

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	10	15	4	4	4	2	152	173

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	11	19	2	4	2	1	151	179

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	7	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
335	65	19.40%	305	79	74.10%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
1065	1110	1091	96	103	106	82	16

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1458	3268	44.61%	1320	3187	41.42%	586	1369	42.80%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1762	1219	2010	586	975	462

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	SO	Link
1 - 2025-09-23	9	Canucks	4	Barracuda	5	L	X		BoxScore
2 - 2025-09-24	12	Canucks	5	Silver Knights	2	W			BoxScore
4 - 2025-09-26	29	Heat	3	Canucks	2	L			BoxScore
6 - 2025-09-28	49	Heat	3	Canucks	4	W	X	X	BoxScore
8 - 2025-09-30	64	Canucks	4	Condors	2	W			BoxScore
10 - 2025-10-02	75	Canucks	1	Islanders	2	L			BoxScore
12 - 2025-10-04	87	Condors	3	Canucks	2	L	X		BoxScore
14 - 2025-10-06	104	Comets	5	Canucks	6	W			BoxScore
16 - 2025-10-08	120	Canucks	2	Heat	5	L			BoxScore
18 - 2025-10-10	127	Barracuda	2	Canucks	3	W			BoxScore
20 - 2025-10-12	148	Marlies	3	Canucks	2	L	X		BoxScore
23 - 2025-10-15	166	Canucks	5	Stars	1	W			BoxScore
24 - 2025-10-16	171	Canucks	4	Silver Knights	5	L	X	X	BoxScore
26 - 2025-10-18	191	Gulls	7	Canucks	8	W	X	X	BoxScore
28 - 2025-10-20	205	Canucks	3	Gulls	5	L			BoxScore
30 - 2025-10-22	221	Firebirds	4	Canucks	5	W	X		BoxScore
32 - 2025-10-24	233	Canucks	6	Roadrunners	4	W			BoxScore
33 - 2025-10-25	244	Moose	1	Canucks	4	W			BoxScore
35 - 2025-10-27	260	Roadrunners	2	Canucks	3	W			BoxScore
37 - 2025-10-29	276	Wolves	4	Canucks	5	W	X	X	BoxScore
39 - 2025-10-31	291	Canucks	3	Roadrunners	1	W			BoxScore
41 - 2025-11-02	302	Canucks	3	Gulls	2	W	X	X	BoxScore
43 - 2025-11-04	318	Comets	2	Canucks	3	W			BoxScore
45 - 2025-11-06	331	Canucks	6	Firebirds	4	W			BoxScore
47 - 2025-11-08	347	Checkers	6	Canucks	0	L			BoxScore
49 - 2025-11-10	359	Canucks	4	Firebirds	1	W			BoxScore
51 - 2025-11-12	373	Canucks	6	Islanders	3	W			BoxScore
53 - 2025-11-14	386	Bruins	5	Canucks	4	L			BoxScore
54 - 2025-11-15	402	Canucks	4	Admirals	6	L			BoxScore
56 - 2025-11-17	413	Firebirds	5	Canucks	4	L	X	X	BoxScore
58 - 2025-11-19	429	Islanders	4	Canucks	5	W			BoxScore
61 - 2025-11-22	449	Canucks	1	Phantoms	6	L			BoxScore
63 - 2025-11-24	460	Thunderbirds	2	Canucks	3	W	X		BoxScore
65 - 2025-11-26	478	IceHogs	6	Canucks	5	L	X	X	BoxScore
66 - 2025-11-27	491	Canucks	8	Stars	7	W	X		BoxScore
68 - 2025-11-29	500	Canucks	5	Wild	6	L	X		BoxScore
69 - 2025-11-30	516	Phantoms	3	Canucks	5	W			BoxScore
71 - 2025-12-02	534	Canucks	3	Griffins	6	L			BoxScore
72 - 2025-12-03	543	Admirals	7	Canucks	4	L			BoxScore
75 - 2025-12-06	565	Monsters	6	Canucks	3	L			BoxScore
76 - 2025-12-07	578	Canucks	2	Penguins	5	L			BoxScore
78 - 2025-12-09	590	Stars	3	Canucks	8	W			BoxScore
80 - 2025-12-11	607	Canucks	4	Monsters	6	L			BoxScore
81 - 2025-12-12	617	Canucks	4	Heat	7	L			BoxScore
83 - 2025-12-14	630	Condors	5	Canucks	4	L	X		BoxScore
85 - 2025-12-16	647	Rocket	5	Canucks	6	W			BoxScore
87 - 2025-12-18	660	Canucks	3	Thunderbirds	2	W			BoxScore
88 - 2025-12-19	674	Eagles	4	Canucks	3	L			BoxScore
90 - 2025-12-21	687	Canucks	4	Rocket	2	W			BoxScore
92 - 2025-12-23	702	Barracuda	7	Canucks	2	L			BoxScore
94 - 2025-12-25	715	Canucks	6	Eagles	5	W	X	X	BoxScore
95 - 2025-12-26	729	Penguins	5	Canucks	6	W	X	X	BoxScore
97 - 2025-12-28	744	Canucks	3	Barracuda	6	L			BoxScore
99 - 2025-12-30	756	Canucks	2	IceHogs	4	L			BoxScore
100 - 2025-12-31	769	Firebirds	5	Canucks	2	L			BoxScore
102 - 2026-01-02	783	Canucks	3	Moose	6	L			BoxScore
104 - 2026-01-04	795	Gulls	4	Canucks	2	L			BoxScore
105 - 2026-01-05	807	Canucks	4	Condors	7	L			BoxScore
107 - 2026-01-07	820	Canucks	5	Wolves	6	L			BoxScore
108 - 2026-01-08	832	Gulls	6	Canucks	3	L			BoxScore
110 - 2026-01-10	850	Americans	8	Canucks	7	L	X		BoxScore
112 - 2026-01-12	864	Canucks	1	Americans	3	L			BoxScore
114 - 2026-01-14	879	Canucks	6	Comets	5	W	X		BoxScore
115 - 2026-01-15	887	Senators	4	Canucks	5	W	X		BoxScore
117 - 2026-01-17	904	Griffins	3	Canucks	2	L			BoxScore
120 - 2026-01-20	930	Admirals	7	Canucks	4	L			BoxScore
122 - 2026-01-22	950	Canucks	4	Senators	3	W			BoxScore
123 - 2026-01-23	954	Canucks	5	Checkers	6	L	X		BoxScore
124 - 2026-01-24	967	Wild	5	Canucks	6	W	X		BoxScore
126 - 2026-01-26	984	Canucks	1	Marlies	6	L			BoxScore
128 - 2026-01-28	992	Eagles	6	Canucks	2	L			BoxScore
129 - 2026-01-29	1005	Canucks	5	Condors	7	L			BoxScore
131 - 2026-01-31	1020	Wild	6	Canucks	4	L			BoxScore
133 - 2026-02-02	1035	Canucks	2	IceHogs	7	L			BoxScore
134 - 2026-02-03	1045	Heat	5	Canucks	3	L			BoxScore
136 - 2026-02-05	1065	Thunderbirds	2	Canucks	3	W			BoxScore
137 - 2026-02-06	1071	Canucks	6	Silver Knights	7	L	X		BoxScore
139 - 2026-02-08	1087	Canucks	4	Bruins	6	L			BoxScore
141 - 2026-02-10	1103	Silver Knights	-	Canucks	-
142 - 2026-02-11	1112	Canucks	-	Barracuda	-
143 - 2026-02-12	1114	Canucks	-	Silver Knights	-
147 - 2026-02-16	1147	Silver Knights	-	Canucks	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	68,391	38,492
Attendance PCT	87.68%	98.70%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
2	2741 - 91.35%	95,226$	3,713,830$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,024,882$	1,198,750$	1,198,750$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,078,234$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
190,453$	9	14,856$	133,704$

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	30	32	0	5	6	3	2	228	231	-3	39	22	7	0	2	4	3	1	128	101	27	39	8	25	0	3	2	0	1	100	130	-30	84	228	401	629	1	2	0	73	85	62	2232	0	781	701	723	2468	742	394	1555	157	32	20.38%	180	35	80.56%	3	1150	2418	47.56%	1243	2662	46.69%	577	1210	47.69%	1784	1211	1895	581	1040	514
3	82	42	22	0	4	6	4	4	312	259	53	41	26	9	0	2	2	2	0	156	109	47	41	16	13	0	2	4	2	4	156	150	6	110	312	555	867	1	6	0	99	106	99	2673	0	848	915	877	2751	864	473	1780	204	48	23.53%	214	44	79.44%	1	1344	2735	49.14%	1419	2979	47.63%	683	1406	48.58%	1851	1252	2038	619	1089	534
4	82	41	25	0	5	3	3	5	265	229	36	41	23	10	0	2	2	1	3	140	115	25	41	18	15	0	3	1	2	2	125	114	11	106	265	479	744	1	2	0	95	77	85	2714	0	863	866	944	2525	744	431	1610	156	26	16.67%	184	39	78.80%	2	1483	2747	53.99%	1489	2794	53.29%	738	1328	55.57%	2016	1420	1893	586	1067	539
2020	82	39	29	0	5	6	1	2	301	281	20	41	25	8	0	3	3	0	2	160	121	39	41	14	21	0	2	3	1	0	141	160	-19	98	301	541	842	2	3	0	113	106	76	2760	0	930	900	904	2726	801	569	2064	263	62	23.57%	250	42	83.20%	6	1431	2942	48.64%	1315	2799	46.98%	671	1369	49.01%	1955	1342	1933	605	1073	536
2021	82	33	32	0	4	4	6	3	272	273	-1	41	17	14	0	2	3	3	2	142	142	0	41	16	18	0	2	1	3	1	130	131	-1	93	272	478	750	3	0	0	80	96	86	2642	0	881	852	876	2764	803	564	1932	251	62	24.70%	243	46	81.07%	3	1337	2838	47.11%	1429	2972	48.08%	629	1348	46.66%	1902	1294	2001	627	1079	533
2021	82	33	39	0	3	2	3	2	279	298	-19	41	18	20	0	2	0	0	1	144	159	-15	41	15	19	0	1	2	3	1	135	139	-4	82	279	508	787	1	1	0	94	93	86	2766	0	860	950	931	2838	836	594	1949	240	42	17.50%	272	65	76.10%	3	1501	2911	51.56%	1484	2980	49.80%	727	1384	52.53%	1910	1317	1993	610	1055	518
2022	82	48	27	0	1	3	2	1	281	252	29	41	26	12	0	1	1	1	0	150	118	32	41	22	15	0	0	2	1	1	131	134	-3	106	281	518	799	0	1	0	106	95	77	2793	0	934	912	940	2530	744	567	1898	290	64	22.07%	250	61	75.60%	6	1452	2994	48.50%	1385	2846	48.66%	624	1331	46.88%	1977	1359	1885	606	1075	544
2022	82	38	32	0	3	6	2	1	285	283	2	41	23	13	0	2	2	0	1	152	135	17	41	15	19	0	1	4	2	0	133	148	-15	93	285	512	797	3	3	0	105	89	86	2801	0	921	903	949	2926	775	557	1917	248	44	17.74%	238	54	77.31%	1	1478	2921	50.60%	1483	2953	50.22%	656	1349	48.63%	1912	1318	1987	610	1055	520
2023	82	37	34	0	1	7	1	2	339	309	30	41	20	17	0	1	2	0	1	163	145	18	41	17	17	0	0	5	1	1	176	164	12	87	339	617	956	1	3	0	130	110	97	3153	0	1073	1043	1023	3118	920	739	2011	302	71	23.51%	311	59	81.03%	4	1582	3105	50.95%	1536	3173	48.41%	739	1450	50.97%	1944	1338	1948	603	1060	530
2023	82	21	52	0	2	2	3	2	281	479	-198	41	10	26	0	1	1	1	2	152	251	-99	41	11	26	0	1	1	2	0	129	228	-99	56	281	490	771	1	1	0	100	105	71	2910	0	961	1047	876	3867	1111	551	1916	304	78	25.66%	248	79	68.15%	1	1306	2820	46.31%	1335	3063	43.58%	737	1547	47.64%	1840	1283	2108	577	1007	493
2024	82	16	51	0	3	6	2	4	312	465	-153	41	8	25	0	2	2	1	3	161	236	-75	41	8	26	0	1	4	1	1	151	229	-78	52	312	566	878	0	0	0	116	99	92	3540	0	1121	1164	1205	4027	1108	816	2323	325	57	17.54%	363	111	69.42%	1	1240	3351	37.00%	1284	3562	36.05%	582	1534	37.94%	1747	1206	2234	605	990	456
2025	78	21	34	0	6	8	6	3	303	352	-49	39	10	15	0	4	4	4	2	152	173	-21	39	11	19	0	2	4	2	1	151	179	-28	77	303	555	858	1	0	103	106	82	16	3327	1065	1110	1091	96	3292	994	739	2030	335	65	19.40%	305	79	74.10%	6	1458	3268	44.61%	1320	3187	41.42%	586	1369	42.80%	1762	1219	2010	586	975	462
Total Regular Season	976	399	409	0	42	59	36	31	3458	3711	-253	488	228	176	0	24	26	16	18	1800	1805	-5	488	171	233	0	18	33	20	13	1658	1906	-248	1044	3458	6220	9678	15	22	103	1217	1143	933	34311	1065	11283	11344	10344	35832	10442	6994	22985	3075	651	21.17%	3058	714	76.65%	37	16762	35050	47.82%	16722	35970	46.49%	7949	16625	47.81%	22605	15567	23930	7219	12571	6184
Playoff
2	12	7	5	0	0	0	0	0	36	32	4	6	2	4	0	0	0	0	0	15	17	-2	6	5	1	0	0	0	0	0	21	15	6	14	36	66	102	2	0	0	14	12	8	411	0	141	132	128	340	92	54	258	25	6	24.00%	26	3	88.46%	0	286	455	62.86%	214	378	56.61%	115	180	63.89%	317	223	256	85	161	84
3	4	0	4	0	0	0	0	0	10	20	-10	2	0	2	0	0	0	0	0	5	10	-5	2	0	2	0	0	0	0	0	5	10	-5	0	10	16	26	0	0	0	5	2	3	115	0	33	29	41	162	49	30	96	6	2	33.33%	14	4	71.43%	0	53	130	40.77%	70	170	41.18%	26	70	37.14%	84	54	117	31	55	26
4	7	3	4	0	0	0	0	0	25	24	1	4	3	1	0	0	0	0	0	18	10	8	3	0	3	0	0	0	0	0	7	14	-7	6	25	45	70	0	0	0	10	7	8	288	0	85	92	84	225	77	55	147	12	4	33.33%	23	8	65.22%	0	188	298	63.09%	141	251	56.18%	85	131	64.89%	197	142	174	51	97	49
2020	5	1	4	0	0	0	0	0	10	20	-10	2	1	1	0	0	0	0	0	4	6	-2	3	0	3	0	0	0	0	0	6	14	-8	2	10	19	29	0	1	0	7	1	2	183	0	64	70	49	185	70	51	121	13	3	23.08%	21	8	61.90%	0	99	190	52.11%	98	201	48.76%	36	78	46.15%	115	79	122	36	61	29
2021	7	3	4	0	0	0	0	0	16	20	-4	4	3	1	0	0	0	0	0	11	9	2	3	0	3	0	0	0	0	0	5	11	-6	6	16	29	45	0	0	0	7	5	3	225	0	80	74	70	248	75	28	148	17	2	11.76%	13	1	92.31%	0	103	230	44.78%	108	238	45.38%	49	111	44.14%	159	109	171	51	90	43
2022	17	8	9	0	0	0	0	0	63	59	4	9	4	5	0	0	0	0	0	31	30	1	8	4	4	0	0	0	0	0	32	29	3	16	63	116	179	1	1	0	25	20	18	631	0	199	215	193	575	181	122	416	70	23	32.86%	48	11	77.08%	0	297	667	44.53%	258	598	43.14%	137	313	43.77%	434	302	416	128	232	120
2023	6	2	4	0	0	0	0	0	23	28	-5	3	1	2	0	0	0	0	0	15	15	0	3	1	2	0	0	0	0	0	8	13	-5	4	23	43	66	0	0	0	8	11	4	169	0	54	64	51	239	69	42	167	20	3	15.00%	20	3	85.00%	0	76	187	40.64%	125	240	52.08%	47	109	43.12%	130	88	152	45	77	37
Total Playoff	58	24	34	0	0	0	0	0	183	203	-20	30	14	16	0	0	0	0	0	99	97	2	28	10	18	0	0	0	0	0	84	106	-22	48	183	334	517	3	2	0	76	58	46	2022	0	656	676	616	1974	613	382	1353	163	43	26.38%	165	38	76.97%	0	1102	2157	51.09%	1014	2076	48.84%	495	992	49.90%	1440	999	1409	430	775	392