NHLS - National Hockey League Simulated

Canucks
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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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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	Aidan McDonough		X			100.00	72	41	85	64	81	88	75	63	65	61	67	62	64	66	69	42	75	64	0
2	Nick Abruzzese	X	X			100.00	60	36	95	64	69	79	84	63	70	66	59	58	61	67	69	50	75	63	0
3	Julien Gauthier		X	X		100.00	81	41	86	62	92	79	65	63	58	60	59	64	62	69	71	66	75	63	0
4	Nate Danielson	X		X		100.00	67	38	89	66	79	80	82	64	67	65	57	61	59	62	64	86	75	63	0
5	James Hamblin		X			100.00	58	38	85	64	67	83	81	63	65	62	66	61	64	67	69	37	75	63	0
6	Sam Poulin	X	X	X		100.00	73	40	79	63	84	83	86	58	55	62	59	61	63	65	67	79	75	62	0
7	Jackson Kunz (R)	X				100.00	76	38	95	56	85	69	67	57	68	62	50	59	53	64	66	58	75	60	0
8	Michael Brandsegg-Nygard (R)			X		100.00	75	40	81	59	78	85	88	57	53	56	55	58	57	61	63	84	75	60	0
9	Jack Malone			X		100.00	67	38	95	57	76	70	79	56	52	54	55	53	58	66	68	47	75	59	0
10	Matthew Seminoff			X		100.00	61	38	87	57	70	76	84	56	60	59	58	55	57	64	65	49	75	59	0
11	Justin Ertel		X			100.00	70	39	81	55	79	65	72	53	58	56	54	57	52	63	65	64	75	58	0
12	Nick Poisson (R)	X				100.00	61	36	95	57	70	71	76	56	59	54	55	53	57	65	67	42	75	58	0
13	Maksymilian Szuber				X	100.00	72	42	73	61	81	70	84	58	30	60	56	59	48	64	66	48	75	61	0
14	Artem Duda				X	100.00	66	39	88	61	75	73	78	58	30	62	54	57	46	62	64	76	75	60	0
15	Guillaume Richard (R)				X	100.00	65	39	91	59	73	68	86	55	30	57	58	56	48	63	65	61	75	60	0
16	Casey Fitzgerald				X	100.00	61	41	68	57	70	69	86	56	30	58	54	55	46	69	71	51	75	59	0
17	Nate Clurman				X	100.00	69	39	85	57	79	75	77	55	30	55	52	56	46	68	70	41	75	59	0
18	Lleyton Moore				X	100.00	57	35	95	56	64	66	71	55	30	58	53	54	46	64	66	43	75	58	0
Scratches
1	Nolan Moyle (R)			X		100.00	71	42	72	54	80	71	65	52	50	51	53	55	52	67	69	37	75	57	0
2	Jake Chiasson (R)			X		100.00	64	37	94	53	73	65	66	52	55	51	50	54	52	63	65	59	75	56	0
3	Tristan Bertucci (R)				X	100.00	61	40	74	57	70	66	71	56	30	59	54	55	47	61	63	68	75	58	0
4	Jacob Truscott (R)				X	100.00	62	37	90	55	71	65	63	54	30	58	50	56	45	64	66	54	75	57	0

	TEAM AVERAGE					100.00	67	39	86	59	76	73	77	57	49	58	56	57	54	65	67	56	75	60

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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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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	Matt Villalta	100.00	76	86	82	81	75	74	76	75	74	76	75	67	77	56	75	65	0
2	Dustin Tokarski	100.00	72	76	70	74	71	70	72	71	70	72	71	77	91	26	75	63	0
Scratches
1	Matthew Davis (R)	100.00	68	71	67	76	67	66	68	67	66	68	67	65	73	42	75	60	0

	TEAM AVERAGE	100.00	72	78	73	77	71	70	72	71	70	72	71	70	80	41	75	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Gruden	70	69	71	67	85	79	66	USA	55	3	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPS	PPM	PKS	PKM	GW	FO%	FOT	HT	P/20	S1	S2	S3
1	Nate Danielson	Canucks (VAN)	C/RW	4	3	2	5	-2	0	2	11	14	3	8	21.43%	3	94	23.67	1	5	0	11	0	50.53%	95	0	1.06	0	1	0
2	James Hamblin	Canucks (VAN)	LW	4	5	0	5	2	0	5	12	15	3	5	33.33%	0	80	20.14	3	6	0	6	1	60.00%	10	1	1.24	2	0	0
3	Aidan McDonough	Canucks (VAN)	LW	4	0	4	4	-2	0	3	5	19	0	19	0.00%	0	96	24.21	2	5	1	13	0	45.95%	37	0	0.83	0	0	0
4	Jackson Kunz	Canucks (VAN)	C	4	1	2	3	2	2	2	7	8	1	6	12.50%	1	63	15.98	0	0	0	3	0	55.56%	63	0	0.94	0	0	0
5	Maksymilian Szuber	Canucks (VAN)	D	4	0	3	3	-2	8	13	2	3	1	8	0.00%	1	86	21.56	0	5	0	5	0	0.00%	0	0	0.70	0	0	0
6	Matthew Seminoff	Canucks (VAN)	RW	4	1	2	3	2	0	1	2	9	1	4	11.11%	0	65	16.32	0	0	0	0	0	20.00%	5	0	0.92	0	0	0
7	Michael Brandsegg-Nygard	Canucks (VAN)	RW	4	2	1	3	2	0	6	7	11	2	7	18.18%	0	60	15.20	0	0	0	0	0	25.00%	4	0	0.99	0	1	0
8	Sam Poulin	Canucks (VAN)	C/LW/RW	4	0	3	3	2	0	19	3	7	4	4	0.00%	2	74	18.51	1	6	0	0	0	57.14%	7	0	0.81	0	1	1
9	Artem Duda	Canucks (VAN)	D	4	0	2	2	3	2	15	4	2	2	3	0.00%	6	83	20.88	0	6	0	9	0	0.00%	0	0	0.48	0	0	1
10	Nick Abruzzese	Canucks (VAN)	C/LW	4	0	2	2	2	0	1	12	7	1	6	0.00%	1	75	18.80	1	6	0	1	0	58.23%	79	0	0.53	0	0	0
11	Julien Gauthier	Canucks (VAN)	LW/RW	4	1	1	2	-2	2	9	7	13	8	11	7.69%	1	81	20.29	1	5	0	5	0	62.50%	8	0	0.49	0	0	0
12	Casey Fitzgerald	Canucks (VAN)	D	4	0	1	1	1	2	6	0	3	1	1	0.00%	1	70	17.69	0	0	0	8	0	0.00%	0	0	0.28	0	0	0
13	Nate Clurman	Canucks (VAN)	D	4	1	0	1	1	2	9	2	1	0	1	100.00%	3	74	18.52	0	0	0	10	1	0.00%	0	0	0.27	0	0	0
14	Guillaume Richard	Canucks (VAN)	D	4	0	1	1	3	4	10	4	3	1	1	0.00%	5	81	20.41	2	6	0	8	0	0.00%	0	0	0.24	0	0	0
15	Jack Malone	Canucks (VAN)	RW	4	0	0	0	0	0	1	0	0	0	0	0.00%	0	3	0.87	0	0	0	0	0	0.00%	2	0	0.00	0	0	0
16	Justin Ertel	Canucks (VAN)	LW	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.06	0	0	0	0	0	0.00%	0	0	0.00	0	0	0
17	Lleyton Moore	Canucks (VAN)	D	4	0	0	0	-2	0	2	1	2	0	2	0.00%	2	83	20.90	0	5	0	2	0	0.00%	0	0	0.00	0	0	0
Team Total or Average				68	14	24	38	10	22	104	79	117	28	86	11.97%	26	1176	17.29	11	59	1	88	2	52.58%	310	1	0.65	2	3	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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Matt Villalta	Canucks (VAN)	4	2	2	0	0.881	3.01	239	2	0	12	101	0	0	0	0.000	0	4	0	0	0	0
Team Total or Average			4	2	2	0	0.881	3.01	239	2	0	12	101	0	0	0	0.000	0	4	0	0	0	0

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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
Aidan McDonough	LW	28	1999-11-06	No	190 Lbs	6 ft3	No	No	Yes	1	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Artem Duda	D	23	2004-04-08	No	187 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Casey Fitzgerald	D	30	1997-02-25	No	188 Lbs	5 ft11	No	No	Yes	1	UFA	Pro & Farm	875,000$	0$	0$	No	Link / NHL Link
Dustin Tokarski	G	38	1989-09-16	No	198 Lbs	6 ft0	No	No	Yes	2	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Guillaume Richard	D	24	2003-02-10	Yes	170 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Jack Malone	RW	27	2000-10-13	No	191 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Jackson Kunz	C	25	2002-08-13	Yes	210 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Jacob Truscott	D	25	2002-04-12	Yes	170 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Jake Chiasson	RW	24	2003-05-25	Yes	165 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
James Hamblin	LW	28	1999-04-27	No	185 Lbs	5 ft10	No	No	Yes	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Julien Gauthier (1 Way Contract)	LW/RW	30	1997-10-15	No	225 Lbs	6 ft4	No	No	Yes	2	UFA	Pro & Farm	1,500,000$	1,500,000$	1,430,412$	No	Link / NHL Link
Justin Ertel	LW	24	2003-05-27	No	192 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Lleyton Moore	D	25	2002-02-27	No	178 Lbs	5 ft8	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Maksymilian Szuber	D	25	2002-08-25	No	190 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Matt Villalta	G	28	1999-06-03	No	190 Lbs	6 ft3	No	No	Yes	1	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Matthew Davis	G	26	2001-06-16	Yes	192 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Matthew Seminoff	RW	24	2003-12-27	No	188 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Michael Brandsegg-Nygard	RW	22	2005-10-05	Yes	204 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Nate Clurman	D	29	1998-05-08	No	193 Lbs	6 ft2	No	No	Yes	1	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Nate Danielson	C/RW	23	2004-09-27	No	195 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Nick Abruzzese	C/LW	28	1999-06-04	No	183 Lbs	5 ft11	No	No	Yes	1	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Nick Poisson	C	26	2001-08-15	Yes	190 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Nolan Moyle	RW	28	1999-04-13	Yes	198 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Sam Poulin (1 Way Contract)	C/LW/RW	26	2001-02-25	No	217 Lbs	6 ft2	No	No	Yes	2	RFA	Pro & Farm	1,500,000$	1,500,000$	1,430,412$	No	Link / NHL Link
Tristan Bertucci	D	22	2005-07-12	Yes	179 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	26.32	191 Lbs	6 ft1	1.76	966,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Aidan McDonough	Nate Danielson	Julien Gauthier	40	1	2	2
2	James Hamblin	Nick Abruzzese	Sam Poulin	30	1	2	2
3	Matthew Seminoff	Jackson Kunz	Michael Brandsegg-Nygard	20	1	2	2
4	Aidan McDonough	Nate Danielson	Matthew Seminoff	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lleyton Moore	Maksymilian Szuber	40	1	2	2
2	Guillaume Richard	Artem Duda	30	1	2	2
3	Nate Clurman	Casey Fitzgerald	20	1	2	2
4	Lleyton Moore	Maksymilian Szuber	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Aidan McDonough	Nate Danielson	Julien Gauthier	60	1	2	2
2	James Hamblin	Nick Abruzzese	Sam Poulin	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lleyton Moore	Maksymilian Szuber	60	1	2	2
2	Guillaume Richard	Artem Duda	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Aidan McDonough	Nate Danielson	60	1	2	2
2	James Hamblin	Julien Gauthier	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nate Clurman	Maksymilian Szuber	60	1	2	2
2	Guillaume Richard	Artem Duda	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Aidan McDonough	60	1	2	2	Lleyton Moore	Maksymilian Szuber	60	1	2	2
2	Nate Danielson	40	1	2	2	Guillaume Richard	Artem Duda	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Aidan McDonough	Nate Danielson	60	1	2	2
2	James Hamblin	Julien Gauthier	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Casey Fitzgerald	Maksymilian Szuber	60	1	2	2
2	Guillaume Richard	Artem Duda	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Aidan McDonough	Nate Danielson	Julien Gauthier	Guillaume Richard	Maksymilian Szuber

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Aidan McDonough	Nate Danielson	Julien Gauthier	Guillaume Richard	Maksymilian Szuber

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jack Malone, Michael Brandsegg-Nygard, Jackson Kunz	Jack Malone, Michael Brandsegg-Nygard	Jackson Kunz

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Nate Clurman, Casey Fitzgerald, Lleyton Moore	Nate Clurman	Casey Fitzgerald, Lleyton Moore

Penalty Shots
Aidan McDonough, Nate Danielson, James Hamblin, Julien Gauthier, Nick Abruzzese

Goalie
#1 : Matt Villalta, #2 : Dustin Tokarski

Custom OT Lines Forwards
Aidan McDonough, Nate Danielson, Julien Gauthier, James Hamblin, Nick Abruzzese, Michael Brandsegg-Nygard, Michael Brandsegg-Nygard, Jackson Kunz, Sam Poulin, Matthew Seminoff, Jack Malone

Custom OT Lines Defensemen
Casey Fitzgerald, Maksymilian Szuber, Guillaume Richard, Artem Duda, Nate Clurman

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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`)
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
4	4	W1	14	24	38	117	101	26	24	104	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	14	12

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	11	8

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	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
6	0	0.00%	12	0	100.00%	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
37	48	32	0	3	5	6	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
66	120	55.00%	68	126	53.97%	29	64	45.31%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
90	61	97	28	52	24

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	Link
1 - 2026-09-29	4	Canucks	3	Condors	4	L	BoxScore
3 - 2026-10-01	15	Condors	3	Canucks	5	W	BoxScore
5 - 2026-10-03	33	Wranglers	3	Canucks	2	L	BoxScore
6 - 2026-10-04	39	Silver Knights	2	Canucks	4	W	BoxScore
10 - 2026-10-08	58	Canucks	-	Wolves	-
12 - 2026-10-10	71	Canucks	-	Comets	-
13 - 2026-10-11	85	Canucks	-	Wolf Pack	-
15 - 2026-10-13	97	Canucks	-	Hammers	-
17 - 2026-10-15	110	Canucks	-	Checkers	-
19 - 2026-10-17	123	Canucks	-	Crunch	-
22 - 2026-10-20	150	Wolves	-	Canucks	-
24 - 2026-10-22	165	Griffins	-	Canucks	-
27 - 2026-10-25	184	Wild	-	Canucks	-
29 - 2026-10-27	196	Canucks	-	Gulls	-
31 - 2026-10-29	213	Canucks	-	Barracuda	-
33 - 2026-10-31	224	Marlies	-	Canucks	-
36 - 2026-11-03	246	Gulls	-	Canucks	-
38 - 2026-11-05	260	Canucks	-	Moose	-
40 - 2026-11-07	276	Canucks	-	Condors	-
42 - 2026-11-09	284	Phantoms	-	Canucks	-
46 - 2026-11-13	310	Wolf Pack	-	Canucks	-
48 - 2026-11-15	330	Canucks	-	Silver Knights	-
49 - 2026-11-16	332	Canucks	-	Roadrunners	-
52 - 2026-11-19	357	Canucks	-	Firebirds	-
54 - 2026-11-21	371	Wild	-	Canucks	-
55 - 2026-11-22	377	IceHogs	-	Canucks	-
58 - 2026-11-25	394	Canucks	-	Griffins	-
60 - 2026-11-27	407	Canucks	-	Phantoms	-
62 - 2026-11-29	429	Canucks	-	Bruins	-
64 - 2026-12-01	439	Canucks	-	Bears	-
67 - 2026-12-04	462	Americans	-	Canucks	-
68 - 2026-12-05	474	Stars	-	Canucks	-
70 - 2026-12-07	485	Bears	-	Canucks	-
73 - 2026-12-10	507	Admirals	-	Canucks	-
75 - 2026-12-12	525	Canucks	-	Reign	-
77 - 2026-12-14	535	Canucks	-	Barracuda	-
79 - 2026-12-16	548	Canucks	-	Gulls	-
82 - 2026-12-19	575	Barracuda	-	Canucks	-
84 - 2026-12-21	588	Roadrunners	-	Canucks	-
89 - 2026-12-26	609	Canucks	-	Wranglers	-
91 - 2026-12-28	625	Reign	-	Canucks	-
93 - 2026-12-30	640	Firebirds	-	Canucks	-
96 - 2027-01-02	668	Canucks	-	Roadrunners	-
97 - 2027-01-03	673	Canucks	-	Firebirds	-
99 - 2027-01-05	686	Hammers	-	Canucks	-
101 - 2027-01-07	702	Crunch	-	Canucks	-
103 - 2027-01-09	719	Checkers	-	Canucks	-
108 - 2027-01-14	752	Firebirds	-	Canucks	-
110 - 2027-01-16	770	Monsters	-	Canucks	-
112 - 2027-01-18	778	Canucks	-	Eagles	-
114 - 2027-01-20	792	Canucks	-	Admirals	-
116 - 2027-01-22	809	Canucks	-	IceHogs	-
117 - 2027-01-23	817	Canucks	-	Penguins	-
120 - 2027-01-26	843	Canucks	-	Wild	-
122 - 2027-01-28	855	Canucks	-	Stars	-
124 - 2027-01-30	866	Canucks	-	Thunderbirds	-
126 - 2027-02-01	883	Rocket	-	Canucks	-
128 - 2027-02-03	893	Comets	-	Canucks	-
138 - 2027-02-13	926	Moose	-	Canucks	-
141 - 2027-02-16	944	Penguins	-	Canucks	-
143 - 2027-02-18	959	Senators	-	Canucks	-
145 - 2027-02-20	975	Eagles	-	Canucks	-
146 - 2027-02-21	985	Bruins	-	Canucks	-
148 - 2027-02-23	996	Canucks	-	Stars	-
150 - 2027-02-25	1010	Canucks	-	Thunderbirds	-
152 - 2027-02-27	1030	Wranglers	-	Canucks	-
156 - 2027-03-03	1053	IceHogs	-	Canucks	-
159 - 2027-03-06	1076	Canucks	-	Rocket	-
162 - 2027-03-09	1092	Canucks	-	Americans	-
164 - 2027-03-11	1108	Canucks	-	Monsters	-
166 - 2027-03-13	1130	Canucks	-	Marlies	-
167 - 2027-03-14	1136	Canucks	-	Senators	-
170 - 2027-03-17	1158	Admirals	-	Canucks	-
173 - 2027-03-20	1183	Thunderbirds	-	Canucks	-
174 - 2027-03-21	1192	Condors	-	Canucks	-
176 - 2027-03-23	1207	Reign	-	Canucks	-
178 - 2027-03-25	1223	Silver Knights	-	Canucks	-
180 - 2027-03-27	1228	Gulls	-	Canucks	-
182 - 2027-03-29	1246	Canucks	-	Reign	-
184 - 2027-03-31	1262	Canucks	-	Silver Knights	-
187 - 2027-04-03	1287	Barracuda	-	Canucks	-
190 - 2027-04-06	1310	Eagles	-	Canucks	-
193 - 2027-04-09	1327	Canucks	-	Moose	-
194 - 2027-04-10	1342	Canucks	-	Wranglers	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	50	30
Attendance	7,650	5,100
Attendance PCT	85.00%	85.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	4250 - 85.00%	169,575$	508,725$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
144,513$	2,115,000$	2,115,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	98,118$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
6,613,425$	185	16,057$	2,970,545$

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
2020	56	20	27	0	1	3	1	4	183	192	-9	28	12	9	0	0	2	1	4	98	94	4	28	8	18	0	1	1	0	0	85	98	-13	51	183	329	512	3	2	0	65	63	53	1959	0	643	627	665	1949	608	441	1415	200	40	20.00%	194	46	76.29%	1	976	2025	48.20%	994	2071	48.00%	449	894	50.22%	1302	889	1350	423	737	362
2021	82	32	34	0	7	2	4	3	283	290	-7	41	16	19	0	3	0	2	1	135	147	-12	41	16	15	0	4	2	2	2	148	143	5	91	283	529	812	3	1	0	110	77	85	2609	0	837	851	893	2736	769	617	1966	248	53	21.37%	264	64	75.76%	2	1354	2735	49.51%	1362	2916	46.71%	695	1402	49.57%	1936	1325	1961	613	1070	534
2022	82	24	45	0	3	6	2	2	240	293	-53	41	13	20	0	2	4	1	1	122	141	-19	41	11	25	0	1	2	1	1	118	152	-34	66	240	443	683	3	1	0	75	91	69	2536	0	847	812	862	2849	798	822	1948	299	61	20.40%	346	78	77.46%	5	1493	2891	51.64%	1532	3054	50.16%	636	1323	48.07%	1935	1310	1951	625	1071	531
2023	84	31	34	0	4	6	7	2	288	274	14	41	12	19	0	3	3	3	1	134	143	-9	43	19	15	0	1	3	4	1	154	131	23	92	288	508	796	1	2	0	108	81	88	2898	0	974	961	914	2747	810	716	2042	318	58	18.24%	322	77	76.09%	2	1499	3066	48.89%	1506	2993	50.32%	660	1364	48.39%	2008	1372	2008	634	1092	547
2024	82	32	36	0	2	3	5	4	209	223	-14	41	20	17	0	0	1	0	3	108	115	-7	41	12	19	0	2	2	5	1	101	108	-7	85	209	375	584	1	6	0	68	70	64	2251	0	735	696	796	2434	661	690	1926	240	39	16.25%	308	54	82.47%	2	1342	2656	50.53%	1467	2843	51.60%	601	1215	49.47%	1935	1329	1991	612	1048	517
2025	82	31	33	0	4	5	3	6	216	214	2	41	18	14	0	2	3	0	4	116	109	7	41	13	19	0	2	2	3	2	100	105	-5	87	216	381	597	0	4	0	67	75	67	2411	0	751	793	841	2371	673	572	1879	268	47	17.54%	248	47	81.05%	1	1469	2777	52.90%	1288	2607	49.41%	616	1207	51.04%	1998	1394	1946	593	1034	518
2026	4	2	2	0	0	0	0	0	14	12	2	3	2	1	0	0	0	0	0	11	8	3	1	0	1	0	0	0	0	0	3	4	-1	4	14	24	38	0	0	3	5	6	0	117	37	48	32	0	101	26	24	104	6	0	0.00%	12	0	100.00%	0	66	120	55.00%	68	126	53.97%	29	64	45.31%	90	61	97	28	52	24
Total Regular Season	472	172	211	0	21	25	22	21	1433	1498	-65	236	93	99	0	10	13	7	14	724	757	-33	236	79	112	0	11	12	15	7	709	741	-32	476	1433	2589	4022	11	16	3	498	463	426	14781	37	4835	4772	4971	15187	4345	3882	11280	1579	298	18.87%	1694	366	78.39%	13	8199	16270	50.39%	8217	16610	49.47%	3686	7469	49.35%	11207	7683	11308	3531	6107	3036
Playoff
2025	6	2	4	0	0	0	0	0	15	20	-5	3	0	3	0	0	0	0	0	5	12	-7	3	2	1	0	0	0	0	0	10	8	2	4	15	30	45	0	0	0	4	5	6	174	0	57	58	44	162	49	43	151	23	6	26.09%	19	2	89.47%	0	86	186	46.24%	94	186	50.54%	41	99	41.41%	150	102	152	45	83	42
Total Playoff	6	2	4	0	0	0	0	0	15	20	-5	3	0	3	0	0	0	0	0	5	12	-7	3	2	1	0	0	0	0	0	10	8	2	4	15	30	45	0	0	0	4	5	6	174	0	57	58	44	162	49	43	151	23	6	26.09%	19	2	89.47%	0	86	186	46.24%	94	186	50.54%	41	99	41.41%	150	102	152	45	83	42