Canucks
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Checkers 35-37-14, 84pts	6	Box score	1	Canucks 35-37-14, 84pts

Team Stats
W1	Streak	L3
21-15-7	Home Record	19-18-6
14-22-7	Home Record	16-19-8
3-6-1	Last 10 Games	3-5-2
2.17	Goals Per Game	2.56
2.55	Goals Against Per Game	3.13
26.19%	Power Play Percentage	29.59%
69.95%	Penalty Kill Percentage	66.50%

Condors
48-25-13, 109pts

Box score

Canucks
35-37-14, 84pts

Team Stats
W1	Streak	L3
25-13-5	Home Record	19-18-6
23-12-8	Home Record	16-19-8
6-2-2	Last 10 Games	3-5-2
2.69	Goals Per Game	2.56
2.21	Goals Against Per Game	3.13
24.72%	Power Play Percentage	29.59%
74.68%	Penalty Kill Percentage	66.50%

Team Leaders
	Goals Mason Shaw 40	Assists Mason Shaw 48

	Points Mason Shaw 88	Plus/Minus Oskar Pettersson 4

	Wins Olivier Rodrigue 34	Save Percentage Michael Simpson 0.872

Team Stats
Goals For 220 2.56 GFG	Shots For 1547 17.99 Avg	Power Play Percentage 29.6% 50 GF	Offensive Zone Start 37.3%
Goals Against 269 3.13 GAA	Shots Against 1589 18.48 Avg	Penalty Kill Percentage 66.5%% 66 GA	Defensive Zone Start 34.0%

Team Info
	General Manager	Travis Mayhew
	Coach	Aaron Schneekloth
	Division	Division 1
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,134
	Season Tickets	1,500
Roster Info
	Pro Team	22
	Farm Team	32
	Contract Limit	54 / 100
	Prospects	119

Show or Hide Columns

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

#	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	Age	Contract	Salary
1	Mason Shaw	X	X	X		100.00	66	66	56	66	66	81	87	64	75	61	65	56	57	47	47	58	64	62	0	27	3	1,254,000$
2	Jonas Rondbjerg		X	X		100.00	59	41	99	81	75	54	83	63	31	55	61	63	25	57	57	57	72	62	0	27	2	1,256,000$
3	Garrett Pilon	X				100.00	73	70	76	68	70	78	83	62	77	65	55	59	51	47	47	58	65	61	0	28	1	1,043,000$
4	Amadeus Lombardi	X				100.00	73	64	92	70	67	51	47	67	82	65	68	61	64	47	47	63	67	61	0	23	3	1,235,000$
5	Antonio Stranges		X			100.00	68	60	85	70	62	70	72	64	50	63	63	58	60	47	47	62	48	61	0	24	1	893,333$
6	Linus Karlsson (R)	X		X		100.00	77	43	92	68	66	57	70	66	31	60	65	59	25	48	49	62	27	60	0	26	1	925,000$
7	Roby Jarventie	X	X			100.00	84	77	99	82	79	36	31	59	75	71	44	65	42	47	47	56	68	59	0	23	3	850,000$
8	Shane Bowers (R)	X		X		100.00	76	70	89	69	70	77	84	52	64	52	47	59	44	48	48	53	61	58	0	26	1	940,000$
9	Chase De Leo		X			100.00	77	69	99	64	69	58	59	57	50	53	57	60	54	47	47	58	53	57	0	30	1	1,314,000$
10	Marcel Marcel	X	X	X		100.00	83	89	68	66	91	58	60	51	65	48	50	62	48	47	46	53	33	56	0	22	3	1,284,000$
11	Josh Lopina	X				100.00	77	73	90	64	74	73	79	47	61	45	45	58	44	47	47	53	56	55	0	25	3	1,332,000$
12	Roni Hirvonen	X				100.00	69	63	87	66	64	52	52	53	69	48	55	58	53	45	45	56	49	55	0	24	3	1,337,000$
13	Oskar Pettersson			X		100.00	79	76	88	65	77	53	55	49	50	43	49	62	48	45	45	53	20	54	0	24	3	1,094,000$
14	John Ludvig				X	100.00	78	77	80	71	77	57	59	53	25	50	41	63	38	50	50	51	57	60	0	25	1	925,000$
15	Casey Fitzgerald				X	100.00	69	66	68	65	66	75	82	52	25	45	45	55	39	47	48	50	68	58	0	29	1	1,318,000$
16	Christian Kyrou				X	100.00	73	62	98	66	64	55	56	52	25	46	43	59	41	47	46	52	30	56	0	22	3	1,269,000$
17	Michael Benning				X	100.00	67	62	83	68	64	51	50	57	25	49	50	58	48	47	46	54	42	56	0	24	2	750,000$
18	Scott Walford (R)				X	100.00	80	75	96	62	75	48	49	44	25	34	39	60	37	46	46	49	34	55	0	27	3	1,341,000$
19	Wyatte Wylie				X	100.00	74	70	88	63	70	50	51	46	25	35	40	58	39	46	46	49	26	54	0	26	2	1,059,000$
Scratches
1	Corson Ceulemans				X	100.00	73	72	75	63	73	53	55	47	25	37	40	58	39	46	46	48	22	54	0	23	1	750,000$

	TEAM AVERAGE					100.00	74	67	85	68	71	59	63	55	48	51	51	60	45	47	47	55	48	58

Show or Hide Columns

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Olivier Rodrigue (R)	100.00	50	53	66	59	49	47	45	50	46	50	30	47	47	48	50	50	0	25	2	979,000$
2	Michael Simpson	100.00	45	40	50	75	45	45	51	53	48	48	30	44	44	47	72	50	0	23	1	1,000,000$
Scratches

	TEAM AVERAGE	100.00	48	47	58	67	47	46	48	52	47	49	30	46	46	48	61	50

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Aaron Schneekloth	40	40	40	40	40	40	40	CAN	42	1	1,000,000$

Show or Hide Columns

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

#	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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Mason Shaw	Canucks (VAN)	C/LW/RW	86	40	48	88	-21	211	45	212	138	193	62	114	20.73%	38	1924	22.38	11	17	28	41	128	1	0	1	6	110	6	1	54.87%	113	42	26	0	2	0.91	6	16	3	4	2	10	5	7
2	Jonas Rondbjerg	Canucks (VAN)	LW/RW	86	37	48	85	-18	5	5	92	146	241	77	142	15.35%	29	1810	21.05	15	17	32	53	126	2	1	3	6	50	6	4	21.59%	88	59	24	0	1	0.94	1	3	0	0	1	7	4	6
3	Garrett Pilon	Canucks (VAN)	C	86	19	36	55	-2	71	35	132	151	128	41	65	14.84%	24	1468	17.07	1	0	1	7	27	0	0	0	0	1	1	2	59.57%	1071	31	32	0	0	0.75	0	1	2	2	2	3	5	5
4	Amadeus Lombardi	Canucks (VAN)	C	86	19	35	54	-9	8	0	126	150	167	57	103	11.38%	19	1683	19.58	4	5	9	23	100	0	2	2	9	128	5	1	60.47%	903	27	27	0	0	0.64	3	16	0	0	0	4	1	2
5	Shane Bowers	Canucks (VAN)	C/RW	86	18	25	43	-11	6	0	153	83	73	20	38	24.66%	14	1426	16.58	7	15	22	17	117	2	1	3	4	37	0	1	52.34%	256	22	16	0	0	0.60	3	5	0	0	0	2	6	2
6	Antonio Stranges	Canucks (VAN)	LW	81	13	24	37	-15	29	15	111	78	128	37	69	10.16%	13	1167	14.41	1	3	4	11	63	0	2	2	5	43	1	0	48.37%	184	28	19	0	0	0.63	1	3	0	1	2	4	3	4
7	Casey Fitzgerald	Canucks (VAN)	D	86	6	28	34	-16	104	40	162	126	86	30	24	6.98%	65	2153	25.04	4	8	12	21	142	0	1	1	2	127	1	0	0%	0	18	38	0	0	0.32	0	1	1	1	6	0	1	1
8	John Ludvig	Canucks (VAN)	D	86	4	22	26	-11	152	100	129	144	93	33	34	4.30%	108	2129	24.76	1	3	4	6	90	0	1	1	3	83	0	0	0%	0	34	53	1	0	0.24	0	0	8	6	6	0	3	2
9	Roby Jarventie	Canucks (VAN)	C/LW	86	11	15	26	-1	22	20	100	66	73	30	59	15.07%	8	1178	13.71	0	0	0	0	0	0	0	0	0	3	2	2	57.14%	28	10	20	0	0	0.44	0	0	3	1	0	1	1	2
10	Chase De Leo	Canucks (VAN)	LW	81	10	9	19	-10	0	0	75	56	55	12	32	18.18%	11	997	12.32	1	3	4	2	22	1	0	1	3	71	1	2	44.74%	228	5	16	0	0	0.38	0	0	0	0	0	2	1	1
11	Linus Karlsson	Canucks (VAN)	C/RW	65	12	6	18	1	8	0	87	72	75	23	44	16.00%	15	930	14.32	0	2	2	5	27	0	0	0	1	20	0	0	36.84%	57	18	13	0	0	0.39	0	1	0	0	0	2	0	3
12	Christian Kyrou	Canucks (VAN)	D	67	2	13	15	-6	9	5	60	78	37	21	17	5.41%	50	1496	22.33	1	3	4	1	72	0	1	1	4	115	2	0	0%	0	3	25	0	0	0.20	0	0	0	1	0	1	0	0
13	Marcel Marcel	Canucks (VAN)	C/LW/RW	69	7	7	14	-7	40	10	155	80	63	21	45	11.11%	11	1015	14.72	0	1	1	2	54	0	0	0	2	13	2	0	47.06%	17	19	11	0	0	0.28	0	4	0	0	2	1	1	1
14	William Trudeau	Canucks	D	41	5	9	14	-5	149	65	84	64	44	18	22	11.36%	52	1056	25.78	3	0	3	9	66	0	1	1	0	36	1	1	0%	0	2	22	0	0	0.26	0	0	2	4	7	0	0	2
15	Josh Lopina	Canucks (VAN)	C	86	6	6	12	-10	25	5	81	78	37	13	16	16.22%	7	1139	13.25	0	1	1	2	40	0	0	0	1	47	0	1	50.68%	294	15	11	0	0	0.21	2	5	0	0	1	0	2	1
16	Michael Benning	Canucks (VAN)	D	78	1	8	9	-6	31	5	67	78	25	7	15	4.00%	40	1379	17.69	0	2	2	0	19	0	0	0	2	91	0	0	0%	0	17	11	0	0	0.13	0	0	0	1	0	0	0	0
17	Ondrej Pavel	Canucks	C	31	1	6	7	4	7	5	33	13	7	7	8	14.29%	1	302	9.76	0	0	0	1	4	0	1	1	0	14	1	0	53.57%	56	5	4	0	0	0.46	0	0	1	0	0	0	1	0
18	Scott Walford	Canucks (VAN)	D	65	1	3	4	-10	18	10	34	51	7	6	10	14.29%	17	961	14.79	1	1	2	1	32	0	0	0	0	18	0	1	0%	0	1	13	0	0	0.08	0	0	0	0	2	0	1	0
19	Oskar Pettersson	Canucks (VAN)	RW	45	1	0	1	4	0	0	33	17	4	0	7	25.00%	2	368	8.18	0	0	0	0	7	0	0	0	0	0	0	0	75.00%	4	1	2	0	0	0.05	0	0	0	0	0	0	0	0
20	Brendan Warren	Canucks	LW	10	1	0	1	1	0	0	1	0	1	0	0	100.00%	0	23	2.37	0	0	0	0	0	0	0	0	0	2	0	0	0%	0	0	0	0	0	0.84	0	0	0	0	0	0	0	0
21	Corson Ceulemans	Canucks (VAN)	D	38	0	1	1	-1	13	5	25	28	3	1	4	0%	10	474	12.49	0	0	0	1	55	0	0	0	0	3	0	0	0%	0	0	6	0	0	0.04	0	0	0	0	1	0	0	0
22	Roni Hirvonen	Canucks (VAN)	C	76	0	0	0	0	0	0	5	4	2	0	1	0%	0	67	0.89	0	0	0	0	0	0	0	0	0	0	0	0	80.00%	5	0	0	0	0	0	0	0	0	0	0	0	0	0
23	MacKenzie Entwistle	Canucks	C/RW	10	0	0	0	0	0	0	0	0	0	0	1	0%	0	6	0.65	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0	0	0	0	0	0	0	0
24	Wyatte Wylie	Canucks (VAN)	D	55	0	0	0	-3	6	0	11	29	4	1	1	0%	4	609	11.08	0	0	0	0	2	0	0	0	1	64	0	0	0%	0	2	8	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1586	214	349	563	-152	914	370	1968	1730	1546	517	871	13.84%	538	25771	16.25	50	81	131	203	1203	6	11	17	49	1086	29	16	55.13%	3305	359	397	1	3	0.44	16	55	20	21	32	37	35	39

Show or Hide Columns

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S3
1	Olivier Rodrigue	Canucks (VAN)	86	34	34	14	0.835	2.93	4798	4	234	1422	847	5	4	0.600	50	86	0	1	1
2	Matt Tomkins	Canucks	4	1	2	0	0.870	2.86	126	0	6	46	23	1	0	1.000	4	0	41	0	0
3	Michael Simpson	Canucks (VAN)	11	0	1	0	0.872	2.84	317	0	15	117	67	0	0	0	0	0	45	0	0
Team Total or Average			101	35	37	14	0.839	2.92	5243	4	255	1585	937	6	4		54	86	86	1	1

Show or Hide Columns

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Amadeus Lombardi	Canucks (VAN)	C	23	2003-06-05	ONT	No	178 Lbs	5 ft11	No	No	N/A		No	No	3	2025-10-17	False	False	Pro & Farm	1,235,000$	0$	0$	No	1,235,000$	1,235,000$	-	-	-	-	-	-	-	1,235,000$	1,235,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Antonio Stranges	Canucks (VAN)	LW	24	2002-02-05	USA	No	168 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	893,333$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Casey Fitzgerald	Canucks (VAN)	D	29	1997-02-25	USA	No	181 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	1,318,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Chase De Leo	Canucks (VAN)	LW	30	1995-10-25	USA	No	195 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	1,314,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Christian Kyrou	Canucks (VAN)	D	22	2003-09-16	CAN	No	170 Lbs	5 ft10	No	No	N/A		No	No	3	2025-10-22	False	False	Pro & Farm	1,269,000$	0$	0$	No	1,269,000$	1,269,000$	-	-	-	-	-	-	-	1,269,000$	1,269,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Corson Ceulemans	Canucks (VAN)	D	23	2003-05-05	CAN	No	191 Lbs	6 ft2	No	No	Trade	2025-01-20	No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Garrett Pilon	Canucks (VAN)	C	28	1998-04-13	USA	No	192 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	1,043,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
John Ludvig	Canucks (VAN)	D	25	2000-08-02	CZE	No	210 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jonas Rondbjerg	Canucks (VAN)	LW/RW	27	1999-03-31	DEN	No	204 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	1,256,000$	0$	0$	No	1,256,000$	-	-	-	-	-	-	-	-	1,256,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Josh Lopina	Canucks (VAN)	C	25	2001-02-16	USA	No	199 Lbs	6 ft2	No	No	N/A		No	No	3	2025-10-22	False	False	Pro & Farm	1,332,000$	0$	0$	No	1,332,000$	1,332,000$	-	-	-	-	-	-	-	1,332,000$	1,332,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Linus Karlsson	Canucks (VAN)	C/RW	26	1999-11-16	SWE	Yes	178 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Marcel Marcel	Canucks (VAN)	C/LW/RW	22	2003-10-31	CZE	No	243 Lbs	6 ft4	No	No	N/A		No	No	3	2025-10-22	False	False	Pro & Farm	1,284,000$	0$	0$	No	1,284,000$	1,284,000$	-	-	-	-	-	-	-	1,284,000$	1,284,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Mason Shaw	Canucks (VAN)	C/LW/RW	27	1998-11-03	CAN	No	186 Lbs	5 ft10	No	No	N/A		No	No	3	2025-10-17	False	False	Pro & Farm	1,254,000$	0$	0$	No	1,254,000$	1,254,000$	-	-	-	-	-	-	-	1,254,000$	1,254,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Michael Benning	Canucks (VAN)	D	24	2002-01-05	AB	No	177 Lbs	5 ft9	No	No	Prospect		No	No	2	2024-09-17	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Michael Simpson	Canucks (VAN)	G	23	2003-02-09	CAN	No	198 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2026-02-24	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Olivier Rodrigue	Canucks (VAN)	G	25	2000-07-06	CAN	Yes	158 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	979,000$	0$	0$	No	979,000$	-	-	-	-	-	-	-	-	979,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Oskar Pettersson	Canucks (VAN)	RW	24	2002-04-04	SWE	No	209 Lbs	6 ft2	No	No	N/A		No	No	3	2025-10-17	False	False	Pro & Farm	1,094,000$	0$	0$	No	1,094,000$	1,094,000$	-	-	-	-	-	-	-	1,094,000$	1,094,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Roby Jarventie	Canucks (VAN)	C/LW	23	2002-08-08	FIN	No	209 Lbs	6 ft3	No	No	N/A		No	No	3	2025-11-17	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Roni Hirvonen	Canucks (VAN)	C	24	2002-01-10	FIN	No	178 Lbs	5 ft10	No	No	N/A		No	No	3	2025-10-22	False	False	Pro & Farm	1,337,000$	0$	0$	No	1,337,000$	1,337,000$	-	-	-	-	-	-	-	1,337,000$	1,337,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Scott Walford	Canucks (VAN)	D	27	1999-01-12	BC	Yes	201 Lbs	6 ft2	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,341,000$	0$	0$	No	1,341,000$	1,341,000$	-	-	-	-	-	-	-	1,341,000$	1,341,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Shane Bowers	Canucks (VAN)	C/RW	26	1999-07-30	CAN	Yes	186 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	940,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Wyatte Wylie	Canucks (VAN)	D	26	1999-11-02	USA	No	190 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	1,059,000$	0$	0$	No	1,059,000$	-	-	-	-	-	-	-	-	1,059,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	25.14	191 Lbs	6 ft0	2.00	1,097,652$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Mason Shaw	Garrett Pilon	Jonas Rondbjerg	40	1	2	2
2	Linus Karlsson	Amadeus Lombardi	Roby Jarventie	30	1	2	2
3	Shane Bowers	Amadeus Lombardi	Jonas Rondbjerg	20	1	2	2
4	Mason Shaw	Josh Lopina	Amadeus Lombardi	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	John Ludvig	Michael Benning	40	1	2	2
2	Casey Fitzgerald	Scott Walford	30	1	2	2
3	Casey Fitzgerald	John Ludvig	20	1	2	2
4	John Ludvig	Casey Fitzgerald	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Mason Shaw	Shane Bowers	Jonas Rondbjerg	60	1	2	2
2	Amadeus Lombardi	Josh Lopina	Garrett Pilon	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Casey Fitzgerald	Michael Benning	60	1	2	2
2	John Ludvig	Scott Walford	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Amadeus Lombardi	Mason Shaw	60	1	2	2
2	Shane Bowers	Jonas Rondbjerg	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Benning	Casey Fitzgerald	60	1	2	2
2	John Ludvig	Wyatte Wylie	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Mason Shaw	60	1	2	2	John Ludvig	Casey Fitzgerald	60	1	2	2
2	Josh Lopina	40	1	2	2	Michael Benning	Scott Walford	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Amadeus Lombardi	Mason Shaw	60	1	2	2
2	Shane Bowers	Jonas Rondbjerg	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Benning	John Ludvig	60	1	2	2
2	Casey Fitzgerald	Scott Walford	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Mason Shaw	Amadeus Lombardi	Jonas Rondbjerg	John Ludvig	Casey Fitzgerald

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Mason Shaw	Amadeus Lombardi	Jonas Rondbjerg	John Ludvig	Casey Fitzgerald

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mason Shaw, Shane Bowers, Amadeus Lombardi	Mason Shaw, Amadeus Lombardi	Mason Shaw

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Casey Fitzgerald, John Ludvig, Michael Benning	Casey Fitzgerald	John Ludvig, Casey Fitzgerald

Penalty Shots
Mason Shaw, Amadeus Lombardi, Josh Lopina, Shane Bowers, Jonas Rondbjerg

Goalie
#1 : Olivier Rodrigue, #2 : Michael Simpson

Custom OT Lines Forwards
Antonio Stranges, Josh Lopina, Jonas Rondbjerg, Chase De Leo, Mason Shaw, Shane Bowers, Roby Jarventie, Linus Karlsson, Amadeus Lombardi, Garrett Pilon

Custom OT Lines Defensemen
Michael Benning, John Ludvig, Wyatte Wylie, Casey Fitzgerald, Christian Kyrou

Show or Hide Columns

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

	Overall												Home											Visitor
#	VS Team	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	PCT	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
1	Admirals	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	6	9	1	0	43	80	87	19	33	336	538	649	77	32	6	23	55	4	1	25.00%	4	3	25.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
2	Americans	2	1	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	1	0	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	3	5	8	0	1	43	80	87	19	31	336	538	649	77	28	12	6	40	5	1	20.00%	3	1	66.67%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
3	Barracuda	2	1	0	0	0	0	0	1	4	3	1	1	0	0	0	0	0	0	1	1	2	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	4	7	11	0	0	43	80	87	19	37	336	538	649	77	18	7	9	53	8	1	12.50%	2	1	50.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
4	Bears	2	1	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	3	1	2	2	0.500	4	7	11	0	0	43	80	87	19	24	336	538	649	77	50	19	20	39	1	0	0.00%	10	3	70.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
5	Bruins	5	1	3	0	0	1	0	0	7	14	-7	3	1	2	0	0	0	0	0	6	9	-3	2	0	1	0	0	1	0	0	1	5	-4	3	0.300	7	12	19	0	0	43	80	87	19	56	336	538	649	77	64	14	69	85	2	0	0.00%	12	5	58.33%	2	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
6	Checkers	2	0	2	0	0	0	0	0	4	12	-8	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	4	7	11	0	0	43	80	87	19	34	336	538	649	77	53	15	52	41	1	0	0.00%	6	2	66.67%	1	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
7	Comets	3	1	1	0	0	0	0	1	5	7	-2	1	0	1	0	0	0	0	0	0	3	-3	2	1	0	0	0	0	0	1	5	4	1	3	0.500	5	8	13	0	0	43	80	87	19	51	336	538	649	77	41	16	25	71	1	1	100.00%	5	2	60.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
8	Condors	5	2	2	0	0	0	1	0	13	12	1	2	0	1	0	0	0	1	0	8	9	-1	3	2	1	0	0	0	0	0	5	3	2	6	0.600	13	22	35	0	1	43	80	87	19	87	336	538	649	77	107	41	34	97	11	3	27.27%	7	2	71.43%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
9	Crunch	5	1	1	0	0	1	0	2	7	9	-2	3	1	1	0	0	1	0	0	5	5	0	2	0	0	0	0	0	0	2	2	4	-2	5	0.500	7	10	17	0	1	43	80	87	19	95	336	538	649	77	41	18	23	130	11	2	18.18%	9	2	77.78%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
10	Eagles	2	2	0	0	0	0	0	0	11	4	7	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	6	2	4	4	1.000	11	20	31	0	0	43	80	87	19	44	336	538	649	77	27	9	15	49	9	4	44.44%	5	1	80.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
11	Griffins	2	2	0	0	0	0	0	0	14	9	5	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	6	1	4	1.000	14	19	33	0	0	43	80	87	19	39	336	538	649	77	43	18	22	50	2	1	50.00%	7	2	71.43%	1	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
12	Gulls	5	1	2	0	1	0	1	0	11	11	0	3	0	1	0	1	0	1	0	6	6	0	2	1	1	0	0	0	0	0	5	5	0	6	0.600	11	17	28	0	0	43	80	87	19	82	336	538	649	77	65	11	30	118	14	7	50.00%	10	2	80.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
13	Heat	2	0	2	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	43	80	87	19	28	336	538	649	77	32	16	53	42	1	0	0.00%	4	3	25.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
14	IceHogs	2	1	0	0	1	0	0	0	9	6	3	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	17	26	0	0	43	80	87	19	45	336	538	649	77	24	8	16	57	6	4	66.67%	3	0	100.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
15	Islanders	2	0	1	0	0	0	1	0	5	8	-3	1	0	1	0	0	0	0	0	2	6	-4	1	0	0	0	0	0	1	0	3	2	1	2	0.500	5	6	11	0	0	43	80	87	19	37	336	538	649	77	48	15	2	45	7	2	28.57%	1	1	0.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
16	Marlies	2	0	1	0	0	0	0	1	2	5	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	0	0	0	1	1	2	-1	1	0.250	2	2	4	0	0	43	80	87	19	34	336	538	649	77	34	11	15	58	3	0	0.00%	5	1	80.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
17	Monsters	2	1	0	0	1	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	1	0	0	0	2	1	1	4	1.000	6	8	14	0	0	43	80	87	19	26	336	538	649	77	23	9	39	60	5	2	40.00%	2	0	100.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
18	Moose	3	1	0	0	0	0	0	2	7	7	0	2	1	0	0	0	0	0	1	4	3	1	1	0	0	0	0	0	0	1	3	4	-1	4	0.667	7	11	18	0	0	43	80	87	19	61	336	538	649	77	36	14	9	79	6	1	16.67%	2	0	100.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
19	Penguins	2	1	1	0	0	0	0	0	9	10	-1	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	9	14	23	0	0	43	80	87	19	44	336	538	649	77	34	12	34	54	2	1	50.00%	7	6	14.29%	1	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
20	Phantoms	2	0	1	0	0	0	0	1	3	7	-4	1	0	0	0	0	0	0	1	1	2	-1	1	0	1	0	0	0	0	0	2	5	-3	1	0.250	3	4	7	0	0	43	80	87	19	27	336	538	649	77	28	10	6	46	4	1	25.00%	3	1	66.67%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
21	Reign	2	0	1	0	0	0	0	1	5	10	-5	1	0	1	0	0	0	0	0	2	6	-4	1	0	0	0	0	0	0	1	3	4	-1	1	0.250	5	10	15	0	0	43	80	87	19	37	336	538	649	77	66	21	11	45	6	0	0.00%	3	3	0.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
22	Roadrunners	2	1	0	0	0	0	1	0	13	9	4	1	0	0	0	0	0	1	0	6	5	1	1	1	0	0	0	0	0	0	7	4	3	4	1.000	13	19	32	0	0	43	80	87	19	51	336	538	649	77	62	21	43	51	4	3	75.00%	4	1	75.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
23	Rocket	3	0	1	0	1	0	0	1	4	6	-2	1	0	0	0	0	0	0	1	1	2	-1	2	0	1	0	1	0	0	0	3	4	-1	3	0.500	4	7	11	1	0	43	80	87	19	57	336	538	649	77	48	26	41	55	2	1	50.00%	11	3	72.73%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
24	Senators	2	1	0	0	0	1	0	0	5	4	1	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	5	9	14	0	0	43	80	87	19	42	336	538	649	77	34	16	39	35	4	1	25.00%	7	2	71.43%	1	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
25	Silver Knights	5	1	3	0	0	0	1	0	8	12	-4	2	1	1	0	0	0	0	0	5	6	-1	3	0	2	0	0	0	1	0	3	6	-3	4	0.400	8	11	19	0	0	43	80	87	19	87	336	538	649	77	73	21	93	110	17	4	23.53%	14	6	57.14%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
26	Stars	2	0	2	0	0	0	0	0	8	12	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	6	7	-1	0	0.000	8	14	22	0	0	43	80	87	19	47	336	538	649	77	62	18	6	64	3	1	33.33%	4	2	50.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
27	Thunderbirds	2	0	2	0	0	0	0	0	4	16	-12	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	4	6	10	0	0	43	80	87	19	37	336	538	649	77	83	23	45	40	5	0	0.00%	10	6	40.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
28	Wild	5	1	4	0	0	0	0	0	15	26	-11	2	1	1	0	0	0	0	0	8	7	1	3	0	3	0	0	0	0	0	7	19	-12	2	0.200	15	23	38	1	0	43	80	87	19	114	336	538	649	77	209	70	74	92	7	2	28.57%	17	3	82.35%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
29	Wolf Pack	6	2	3	0	0	0	1	0	21	18	3	3	1	1	0	0	0	1	0	10	8	2	3	1	2	0	0	0	0	0	11	10	1	6	0.500	21	33	54	1	0	43	80	87	19	109	336	538	649	77	100	37	45	149	12	3	25.00%	15	1	93.33%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
30	Wolves	3	2	0	0	0	1	0	0	8	5	3	2	2	0	0	0	0	0	0	6	2	4	1	0	0	0	0	1	0	0	2	3	-1	5	0.833	8	11	19	0	1	43	80	87	19	51	336	538	649	77	24	4	15	58	6	3	50.00%	5	1	80.00%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
	Total	86	25	37	0	4	4	6	10	220	269	-49	43	13	18	0	2	2	4	4	107	133	-26	43	12	19	0	2	2	2	6	113	136	-23	84	0.488	220	349	569	4	4	43	80	87	19	1547	336	538	649	77	1589	538	914	1968	169	50	29.59%	197	66	66.50%	6	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
	_Since Last GM Reset	86	25	37	0	4	4	6	10	220	269	-49	43	13	18	0	2	2	4	4	107	133	-26	43	12	19	0	2	2	2	6	113	136	-23	84	0.488	220	349	569	4	4	43	80	87	19	1547	336	538	649	77	1589	538	914	1968	169	50	29.59%	197	66	66.50%	6	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
	_Vs Conference	53	16	20	0	4	4	4	5	123	136	-13	26	8	9	0	2	2	3	2	66	67	-1	27	8	11	0	2	2	1	3	57	69	-12	57	0.538	123	195	318	3	3	43	80	87	19	939	336	538	649	77	871	298	552	1170	106	34	32.08%	119	30	74.79%	3	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064
	_Vs Division	21	9	18	0	1	2	4	2	43	55	-12	10	5	8	0	1	1	3	0	22	33	-11	11	4	10	0	0	1	1	2	21	22	-1	32	0.762	43	71	114	0	1	43	80	87	19	358	336	538	649	77	361	117	230	465	57	15	26.32%	40	17	57.50%	0	657	1214	54.12%	625	1105	56.56%	540	934	57.82%	1508	556	1565	966	2173	1064

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
86	84	L3	220	349	569	1547	1589	538	914	1968	4	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
86	25	37	4	4	6	10	220	269

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
43	13	18	2	2	4	4	107	133

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
43	12	19	2	2	2	6	113	136

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	5	0	0	0	2

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
169	50	29.59%	197	66	66.50%	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
336	538	649	77	43	80	87	19

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
657	1214	54.12%	625	1105	56.56%	540	934	57.82%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1508	556	1565	966	2173	1064

Last Played Games Show or Hide Columns

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	1	Canucks	4	Condors	2	W			Box score
2	18	Canucks	4	Wolf Pack	6	L			Box score
3	32	Gulls	3	Canucks	1	L			Box score
5	49	Wolf Pack	2	Canucks	5	W			Box score
7	68	Bruins	6	Canucks	2	L			Box score
8	87	Canucks	3	Wild	7	L			Box score
9	101	Crunch	3	Canucks	2	L	X		Box score
10	108	Canucks	1	Silver Knights	2	L			Box score
11	130	Roadrunners	5	Canucks	6	W	X	X	Box score
13	144	Canucks	2	Rocket	1	W	X		Box score
14	164	Bruins	1	Canucks	4	W			Box score
15	179	Canucks	1	Crunch	2	L	X	X	Box score
16	193	Silver Knights	5	Canucks	2	L			Box score
17	206	Canucks	0	Condors	1	L			Box score
18	222	Condors	3	Canucks	4	W	X	X	Box score
20	238	Canucks	1	Wolf Pack	3	L			Box score
21	253	Wolf Pack	3	Canucks	1	L			Box score
23	271	Canucks	2	Monsters	1	W	X		Box score
24	278	Canucks	1	Rocket	3	L			Box score
25	296	Canucks	5	IceHogs	3	W			Box score
26	306	Bruins	2	Canucks	0	L			Box score
28	328	Canucks	1	Condors	0	W			Box score
29	335	Monsters	2	Canucks	4	W			Box score
30	354	Canucks	7	Griffins	6	W			Box score
31	368	Admirals	3	Canucks	1	L			Box score
32	389	Silver Knights	1	Canucks	3	W			Box score
34	410	Canucks	6	Stars	7	L			Box score
35	423	Barracuda	2	Canucks	1	L	X	X	Box score
36	436	Canucks	4	Penguins	6	L			Box score
37	455	Canucks	3	Barracuda	1	W			Box score
38	461	Marlies	3	Canucks	1	L			Box score
40	484	Penguins	4	Canucks	5	W			Box score
41	503	Canucks	2	Admirals	4	L			Box score
42	514	Wild	2	Canucks	5	W			Box score
43	535	Canucks	1	Crunch	2	L	X	X	Box score
44	544	Canucks	3	Wild	5	L			Box score
45	558	Comets	3	Canucks	0	L			Box score
46	575	Senators	3	Canucks	2	L	X		Box score
47	589	Canucks	2	Heat	3	L			Box score
48	607	Canucks	2	Americans	4	L			Box score
49	618	Eagles	2	Canucks	5	W			Box score
50	636	Canucks	3	Checkers	6	L			Box score
51	647	IceHogs	3	Canucks	4	W	X		Box score
52	663	Canucks	3	Moose	4	L	X	X	Box score
53	676	Heat	4	Canucks	0	L			Box score
54	700	Stars	5	Canucks	2	L			Box score
55	711	Canucks	6	Wolf Pack	1	W			Box score
57	734	Rocket	2	Canucks	1	L	X	X	Box score
58	741	Canucks	7	Roadrunners	4	W			Box score
59	759	Canucks	1	Marlies	2	L	X	X	Box score
60	768	Wolves	0	Canucks	2	W			Box score
62	788	Canucks	1	Wild	7	L			Box score
63	802	Wild	5	Canucks	3	L			Box score
65	821	Islanders	6	Canucks	2	L			Box score
66	837	Canucks	6	Eagles	2	W			Box score
67	849	Canucks	3	Senators	1	W			Box score
68	862	Griffins	3	Canucks	7	W			Box score
70	881	Canucks	2	Phantoms	5	L			Box score
71	892	Phantoms	2	Canucks	1	L	X	X	Box score
72	907	Canucks	2	Wolves	3	L	X		Box score
74	923	Wolf Pack	3	Canucks	4	W	X	X	Box score
75	944	Reign	6	Canucks	2	L			Box score
77	958	Canucks	3	Reign	4	L	X	X	Box score
78	973	Canucks	2	Thunderbirds	7	L			Box score
79	984	Thunderbirds	9	Canucks	2	L			Box score
81	1006	Bears	5	Canucks	1	L			Box score
82	1014	Canucks	3	Islanders	2	W	X	X	Box score
84	1041	Americans	0	Canucks	1	W			Box score
85	1053	Canucks	0	Bruins	1	L	X		Box score
86	1072	Canucks	3	Comets	1	W			Box score
87	1080	Gulls	2	Canucks	3	W	X	X	Box score
88	1092	Canucks	2	Silver Knights	1	W	X	X	Box score
90	1109	Moose	1	Canucks	3	W			Box score
91	1130	Wolves	2	Canucks	4	W			Box score
92	1143	Canucks	3	Bears	1	W			Box score
93	1147	Canucks	1	Bruins	4	L			Box score
94	1164	Canucks	0	Silver Knights	3	L			Box score
95	1176	Moose	2	Canucks	1	L	X	X	Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
97	1198	Canucks	3	Gulls	1	W			Box score
98	1207	Gulls	1	Canucks	2	W	X		Box score
100	1228	Canucks	2	Gulls	4	L			Box score
101	1238	Crunch	0	Canucks	3	W			Box score
104	1266	Canucks	2	Comets	3	L	X	X	Box score
105	1275	Crunch	2	Canucks	0	L			Box score
107	1298	Checkers	6	Canucks	1	L			Box score
110	1325	Condors	6	Canucks	4	L			Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	59,613	32,162
Attendance PCT	69.32%	74.80%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2134 - 71.14%	89,015$	3,827,641$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
3,445,329$	2,414,833$	2,414,833$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
21,561$	2,445,281$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	30,490$	0$

Canucks Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Canucks Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Canucks Career Team Stats

Show or Hide Columns

	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

Canucks Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Canucks Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Canucks
	GP: 86 \| W: 35 \| L: 37 \| OTL: 14 \| P: 84 GF: 220 \| GA: 269 \| PP%: 29.59% \| PK%: 66.50% GM : Travis Mayhew \| Morale : 33 \| Team Overall : 57