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

Game Center
	Abbotsford Canucks 16-5-3, 35pts	3	FINAL	5	Grand Rapids Griffins 16-7-2, 34pts

Team Stats
W1	Streak	W3
7-1-3	Home Record	9-2-2
9-4-0	Home Record	7-5-0
7-2-1	Last 10 Games	5-3-2
5.54	Goals Per Game	5.24
2.96	Goals Against Per Game	3.48
25.49%	Power Play Percentage	20.00%
72.88%	Penalty Kill Percentage	74.42%

Abbotsford Canucks
16-5-3, 35pts

FINAL

Iowa Wild
4-21-0, 8pts

Team Stats
W1	Streak	L1
7-1-3	Home Record	3-8-0
9-4-0	Home Record	1-13-0
7-2-1	Last 10 Games	1-9-0
5.54	Goals Per Game	3.12
2.96	Goals Against Per Game	9.00
25.49%	Power Play Percentage	16.67%
72.88%	Penalty Kill Percentage	69.23%

Cleveland Monsters
17-7-0, 34pts

Day 62

Abbotsford Canucks
16-5-3, 35pts

Team Stats
W2	Streak	W1
8-4-0	Home Record	7-1-3
9-3-0	Away Record	9-4-0
7-3-0	Last 10 Games	7-2-1
6.58	Goals Per Game	5.54
3.25	Goals Against Per Game	5.54
14.63%	Power Play Percentage	25.49%
86.96%	Penalty Kill Percentage	72.88%

Syracuse Crunch
5-16-3, 13pts

Day 64

Abbotsford Canucks
16-5-3, 35pts

Team Stats
W1	Streak	W1
4-7-2	Home Record	7-1-3
1-9-1	Away Record	9-4-0
4-6-0	Last 10 Games	7-2-1
3.58	Goals Per Game	5.54
8.13	Goals Against Per Game	5.54
8.33%	Power Play Percentage	25.49%
75.00%	Penalty Kill Percentage	72.88%

Springfield Thunderbirds
21-4-1, 43pts

Day 66

Abbotsford Canucks
16-5-3, 35pts

Team Stats
L1	Streak	W1
10-1-1	Home Record	7-1-3
11-3-0	Away Record	9-4-0
8-1-1	Last 10 Games	7-2-1
6.42	Goals Per Game	5.54
2.08	Goals Against Per Game	5.54
17.07%	Power Play Percentage	25.49%
84.09%	Penalty Kill Percentage	72.88%

Team Leaders
	Goals Sheldon Dries 17	Assists Matthew Kessel 29

	Points Sheldon Dries 44	Plus/Minus Sheldon Dries 31

	Wins Kevin Mandolese 13	Save Percentage Kevin Mandolese 0.908

Team Stats
Goals For 133 5.54 GFG	Shots For 1382 57.58 Avg	Power Play Percentage 25.5% 13 GF	Offensive Zone Start 47.9%
Goals Against 71 2.96 GAA	Shots Against 734 30.58 Avg	Penalty Kill Percentage 72.9%% 16 GA	Defensive Zone Start 31.8%

Team Info
	General Manager	Mat Fargas
	Division	Pacific
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	18
	Farm Team	18
	Contract Limit	36 / 50
	Prospects	22

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	Sheldon Dries	X				100.00	56	64	67	64	60	66	64	65	70	60	65	65	54	69	61	0	40	64	0	30	2	775,000$
2	Jansen Harkins	X				100.00	76	64	81	67	74	56	69	57	59	59	58	74	79	62	59	0	40	63	0	27	2	787,500$
3	Milos Kelemen		X			100.00	60	55	68	64	75	67	65	61	56	60	60	65	55	61	57	0	40	63	0	25	1	775,000$
4	Ethen Frank			X		100.00	55	63	69	64	64	68	66	64	55	59	65	65	57	62	57	0	40	63	0	26	2	775,000$
5	Bo Groulx	X				100.00	78	40	77	66	75	64	67	54	65	57	57	71	54	56	58	0	40	63	0	24	1	775,000$
6	Mitchell Stephens	X				100.00	57	54	77	60	71	63	62	60	75	60	61	67	55	63	59	0	40	62	0	27	2	775,000$
7	Matt Rempe	X				100.00	67	71	70	62	72	64	63	57	56	57	59	64	55	56	55	0	40	61	0	22	1	820,000$
8	Josh Bloom		X			100.00	54	54	70	55	69	57	56	54	55	54	54	60	54	54	52	0	40	56	0	21	2	836,667$
9	Matthew Kessel				X	100.00	64	40	83	63	79	76	64	56	40	60	57	81	54	55	58	0	40	66	0	24	2	800,000$
10	Ryker Evans				X	100.00	65	47	75	70	73	74	63	58	41	63	57	75	55	57	57	0	40	66	0	22	1	897,500$
11	Jacob Moverare				X	100.00	58	49	77	57	78	62	60	56	41	58	57	72	55	61	58	0	40	62	0	26	2	775,000$
12	Hardy Haman Aktell				X	100.00	58	55	69	60	75	68	65	57	41	58	55	66	55	63	58	0	40	61	0	26	1	775,000$
13	Noel Hoefenmayer				X	100.00	57	55	65	60	66	64	63	58	40	57	57	64	54	61	56	0	40	60	0	25	1	775,000$
14	Mason Millman				X	100.00	56	54	69	55	66	57	57	55	40	55	54	60	54	57	54	0	40	57	0	23	1	700,000$
Scratches
1	Nathan Walker		X			100.00	70	65	82	70	71	62	70	61	60	60	65	69	55	64	60	0	40	65	0	30	2	775,000$

	TEAM AVERAGE					100.00	62	55	73	62	71	65	64	58	53	58	59	68	56	60	57	0	40	62

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	Jiri Patera	100.00	61	62	63	66	64	60	70	65	65	66	67	59	55	0	40	64	0	25	2	775,000$
2	Kevin Mandolese	100.00	60	63	61	68	65	57	68	62	61	62	61	58	54	0	40	62	0	24	1	775,000$
Scratches
1	Taylor Gauthier	100.00	55	55	55	61	61	57	67	56	62	60	68	56	53	0	40	59	0	23	1	859,167$

	TEAM AVERAGE	100.00	59	60	60	65	63	58	68	61	63	63	65	58	54	0	40	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	HT	P/20	PSS	FW	S1	S2	S3
1	Sheldon Dries	Abbotsford Canucks (VAN)	C	24	17	27	44	31	6	0	54	56	154	48	114	11.04%	8	564	23.52	2	2	4	14	43	1	0	1	2	53	0	0	68.96%	683	1	1.56	2	0	3	3	1
2	Ethen Frank	Abbotsford Canucks (VAN)	RW	24	17	19	36	23	8	0	36	28	166	37	85	10.24%	3	504	21.02	1	1	2	16	44	0	0	0	2	22	0	0	61.76%	34	2	1.43	0	0	3	1	2
3	Jansen Harkins	Abbotsford Canucks (VAN)	C	24	15	18	33	21	14	0	46	34	150	42	101	10.00%	2	391	16.30	0	0	0	2	4	0	0	0	2	5	2	0	64.14%	488	2	1.69	0	0	4	0	1
4	Matthew Kessel	Abbotsford Canucks (VAN)	D	24	3	29	32	24	8	0	26	19	63	28	54	4.76%	49	589	24.55	2	5	7	22	42	0	1	1	0	48	1	1	0%	0	0	1.09	0	0	0	2	2
5	Ryker Evans	Abbotsford Canucks (VAN)	D	24	6	25	31	22	16	0	42	22	66	22	50	9.09%	41	585	24.39	1	5	6	17	42	0	0	0	0	44	0	0	0%	0	0	1.06	0	0	0	0	3
6	Milos Kelemen	Abbotsford Canucks (VAN)	LW	24	12	16	28	17	0	0	18	24	135	32	84	8.89%	7	467	19.50	1	3	4	9	39	0	0	0	0	8	3	1	60.00%	30	0	1.20	0	0	0	2	1
7	Mitchell Stephens	Abbotsford Canucks (VAN)	C	24	12	15	27	23	2	0	18	23	114	34	101	10.53%	7	483	20.14	1	2	3	7	39	0	0	0	0	0	3	0	65.96%	94	1	1.12	0	0	1	0	1
8	Nathan Walker	Abbotsford Canucks (VAN)	LW	15	12	13	25	21	21	5	25	20	105	28	61	11.43%	1	329	21.97	2	0	2	8	28	0	1	1	2	31	2	1	53.54%	99	1	1.52	1	1	2	1	0
9	Matt Rempe	Abbotsford Canucks (VAN)	C	24	11	12	23	19	14	0	29	19	105	37	84	10.48%	3	382	15.92	0	0	0	0	2	0	0	0	0	1	0	1	60.00%	30	0	1.20	0	0	1	1	1
10	Jacob Moverare	Abbotsford Canucks (VAN)	D	24	6	16	22	28	2	0	20	15	58	16	37	10.34%	38	498	20.77	1	1	2	7	40	0	0	0	1	44	3	0	0%	0	0	0.88	0	0	0	0	2
11	Hardy Haman Aktell	Abbotsford Canucks (VAN)	D	24	6	16	22	27	10	0	35	9	52	15	27	11.54%	20	487	20.31	2	2	4	11	40	0	0	0	0	40	0	0	0%	0	0	0.90	0	0	1	1	0
12	Noel Hoefenmayer	Abbotsford Canucks (VAN)	D	24	2	14	16	15	10	0	37	11	31	7	29	6.45%	27	365	15.24	0	0	0	1	2	0	0	0	0	4	0	0	0%	0	0	0.88	0	0	0	0	1
13	Bo Groulx	Abbotsford Canucks (VAN)	C	24	4	12	16	17	10	0	80	64	96	26	64	4.17%	2	478	19.93	0	2	2	7	39	0	0	0	1	21	1	0	67.55%	641	0	0.67	1	0	1	0	0
14	Mason Millman	Abbotsford Canucks (VAN)	D	24	6	9	15	18	10	0	24	6	26	10	15	23.08%	29	365	15.24	0	0	0	2	1	0	0	0	0	13	1	1	0%	0	0	0.82	0	0	0	2	1
15	Josh Bloom	Abbotsford Canucks (VAN)	LW	24	4	9	13	19	4	0	7	10	59	16	40	6.78%	5	401	16.74	0	0	0	0	1	0	0	0	1	23	0	0	55.32%	47	0	0.65	0	0	0	0	0
Team Total or Average				351	133	250	383	325	135	5	497	360	1380	398	946	9.64%	242	6895	19.64	13	23	36	123	410	1	2	3	11	362	16	5	65.94%	2146	7	1.11	4	1	16	13	16

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	PIM	GA	SA	PS %	PSA	ST	BG	S1	S2
1	Kevin Mandolese	Abbotsford Canucks (VAN)	21	13	4	3	0.908	2.93	1209	2	59	644	0.500	6	20	4	1	1
2	Jiri Patera	Abbotsford Canucks (VAN)	5	3	1	0	0.889	2.47	243	2	10	90	0	0	4	20	0	0
Team Total or Average			26	16	5	3	0.906	2.85	1452	4	69	734		6	24	24	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	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	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
Bo Groulx	Abbotsford Canucks (VAN)	C	24	2000-02-06	FRA	No	198 Lbs	6 ft2	No	No	Assign Manually	No	No	1	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ethen Frank	Abbotsford Canucks (VAN)	RW	26	1998-02-05	USA	No	185 Lbs	5 ft11	No	No	Assign Manually	No	Yes	2	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Hardy Haman Aktell	Abbotsford Canucks (VAN)	D	26	1998-07-04	SWE	No	198 Lbs	6 ft3	No	No	Assign Manually	No	Yes	1	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jacob Moverare	Abbotsford Canucks (VAN)	D	26	1998-08-31	SWE	No	209 Lbs	6 ft3	No	No	Assign Manually	No	Yes	2	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jansen Harkins	Abbotsford Canucks (VAN)	C	27	1997-05-23	USA	No	195 Lbs	6 ft2	No	No	Assign Manually	No	Yes	2	2024-09-14	False	False	Pro & Farm	787,500$	543,943$	0$	0$	No	787,500$	-	-	-	-	-	-	-	-	787,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jiri Patera	Abbotsford Canucks (VAN)	G	25	1999-02-24	CZE	No	211 Lbs	6 ft3	No	No	Assign Manually	No	Yes	2	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Josh Bloom	Abbotsford Canucks (VAN)	LW	21	2003-06-08	CAN	No	185 Lbs	6 ft2	No	No	Assign Manually	No	No	2	2024-09-14	False	False	Pro & Farm	836,667$	577,904$	0$	0$	No	836,667$	-	-	-	-	-	-	-	-	836,667$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Kevin Mandolese	Abbotsford Canucks (VAN)	G	24	2000-08-22	CAN	No	180 Lbs	6 ft4	No	No	Assign Manually	No	No	1	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mason Millman	Abbotsford Canucks (VAN)	D	23	2001-07-18	CAN	No	176 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2024-10-19	False	False	Pro & Farm	700,000$	483,505$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matt Rempe	Abbotsford Canucks (VAN)	C	22	2002-06-29	CAN	No	239 Lbs	6 ft7	No	No	Assign Manually	No	No	1	2024-08-03	False	False	Pro & Farm	820,000$	566,392$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matthew Kessel	Abbotsford Canucks (VAN)	D	24	2000-06-23	USA	No	204 Lbs	6 ft2	No	No	Assign Manually	No	No	2	2024-09-14	False	False	Pro & Farm	800,000$	552,577$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Milos Kelemen	Abbotsford Canucks (VAN)	LW	25	1999-07-06	SVK	No	209 Lbs	6 ft2	No	No	Assign Manually	No	Yes	1	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mitchell Stephens	Abbotsford Canucks (VAN)	C	27	1997-02-05	CAN	No	202 Lbs	6 ft0	No	No	Assign Manually	No	Yes	2	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nathan Walker	Abbotsford Canucks (VAN)	LW	30	1994-02-07	GBR	No	187 Lbs	5 ft8	No	No	Assign Manually	No	Yes	2	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Noel Hoefenmayer	Abbotsford Canucks (VAN)	D	25	1999-01-06	CAN	No	191 Lbs	6 ft0	No	No	Assign Manually	No	Yes	1	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ryker Evans	Abbotsford Canucks (VAN)	D	22	2001-12-13	CAN	No	189 Lbs	5 ft10	No	No	Assign Manually	No	No	1	2024-08-03	False	False	Pro & Farm	897,500$	619,923$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Sheldon Dries	Abbotsford Canucks (VAN)	C	30	1994-04-23	USA	No	185 Lbs	5 ft9	No	No	Assign Manually	No	Yes	2	2024-09-14	False	False	Pro & Farm	775,000$	535,309$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Taylor Gauthier	Abbotsford Canucks (VAN)	G	23	2001-02-15	CAN	No	207 Lbs	6 ft2	No	No	Assign Manually	No	No	1	2024-09-14	False	False	Pro & Farm	859,167$	593,445$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
18	25.00	197 Lbs	6 ft1	1.50	790,324$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Sheldon Dries	Ethen Frank	40	1	2	2
2	Milos Kelemen	Bo Groulx	Mitchell Stephens	30	1	2	2
3	Josh Bloom	Jansen Harkins	Matt Rempe	20	1	2	2
4		Mitchell Stephens	Sheldon Dries	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ryker Evans	Matthew Kessel	40	1	2	2
2	Jacob Moverare	Hardy Haman Aktell	30	1	2	2
3	Noel Hoefenmayer	Mason Millman	20	1	2	2
4	Ryker Evans	Matthew Kessel	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Sheldon Dries	Ethen Frank	60	1	2	2
2	Milos Kelemen	Bo Groulx	Mitchell Stephens	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ryker Evans	Matthew Kessel	60	1	2	2
2	Jacob Moverare	Hardy Haman Aktell	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Sheldon Dries	60	1	2	2
2	Bo Groulx	Ethen Frank	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ryker Evans	Matthew Kessel	60	1	2	2
2	Jacob Moverare	Hardy Haman Aktell	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	Ryker Evans	Matthew Kessel	60	1	2	2
2	Sheldon Dries	40	1	2	2	Jacob Moverare	Hardy Haman Aktell	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Sheldon Dries	60	1	2	2
2	Bo Groulx	Ethen Frank	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ryker Evans	Matthew Kessel	60	1	2	2
2	Jacob Moverare	Hardy Haman Aktell	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Sheldon Dries	Ethen Frank	Ryker Evans	Matthew Kessel

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Sheldon Dries	Ethen Frank	Ryker Evans	Matthew Kessel

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jansen Harkins, Matt Rempe, Josh Bloom	Jansen Harkins, Matt Rempe	Josh Bloom

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Noel Hoefenmayer, Mason Millman, Jacob Moverare	Noel Hoefenmayer	Mason Millman, Jacob Moverare

Penalty Shots
, Sheldon Dries, Bo Groulx, Ethen Frank, Milos Kelemen

Goalie
#1 : Kevin Mandolese, #2 : Jiri Patera

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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	Bakersfield Condors	1	0	0	0	0	0	0	1	4	5	-1	1	0	0	0	0	0	0	1	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	8	12	0	0	59	41	33	0	76	427	438	507	15	32	7	4	33	1	0	0.00%	2	0	100.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
2	Belleville Senators	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	59	41	33	0	45	427	438	507	15	40	12	10	19	1	0	0.00%	5	1	80.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
3	Bridgeport Islanders	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	59	41	33	0	38	427	438	507	15	31	9	21	21	4	0	0.00%	3	0	100.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
4	Calgary Wranglers	2	0	1	0	0	1	0	0	7	11	-4	2	0	1	0	0	1	0	0	7	11	-4	0	0	0	0	0	0	0	0	0	0	0	1	0.250	7	13	20	0	0	59	41	33	0	74	427	438	507	15	58	25	12	36	7	2	28.57%	6	1	83.33%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
5	Charlotte Checkers	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	9	14	0	0	59	41	33	0	33	427	438	507	15	26	7	8	17	3	1	33.33%	3	1	66.67%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
6	Chicago Wolves	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	59	41	33	0	40	427	438	507	15	36	13	8	20	1	0	0.00%	4	2	50.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
7	Grand Rapids Griffins	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	59	41	33	0	43	427	438	507	15	43	11	10	25	0	0	0%	5	2	60.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
8	Hartford Wolf Pack	1	1	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	16	24	0	0	59	41	33	0	58	427	438	507	15	30	13	2	22	3	2	66.67%	1	0	100.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
9	Iowa Wild	1	1	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	2	5	2	1.000	7	14	21	0	0	59	41	33	0	84	427	438	507	15	20	5	2	14	1	0	0.00%	1	0	100.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
10	Lehigh Valley Phantoms	2	2	0	0	0	0	0	0	18	4	14	1	1	0	0	0	0	0	0	12	2	10	1	1	0	0	0	0	0	0	6	2	4	4	1.000	18	36	54	0	0	59	41	33	0	210	427	438	507	15	45	7	8	38	1	1	100.00%	4	1	75.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
11	Milwaukee Admirals	1	1	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	9	1	8	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	18	27	0	0	59	41	33	0	92	427	438	507	15	19	3	2	24	0	0	0%	1	1	0.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
12	Ontario Reign	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	9	14	0	0	59	41	33	0	49	427	438	507	15	43	20	4	20	3	1	33.33%	2	0	100.00%	1	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
13	Providence Bruins	1	1	0	0	0	0	0	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	2	6	2	1.000	8	14	22	0	0	59	41	33	0	84	427	438	507	15	26	8	6	24	1	0	0.00%	3	2	33.33%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
14	Rochester Americans	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	59	41	33	0	51	427	438	507	15	33	6	4	23	1	1	100.00%	2	0	100.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
15	Rockford IceHogs	2	0	1	0	0	0	0	1	7	9	-2	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.250	7	12	19	0	0	59	41	33	0	56	427	438	507	15	87	30	14	42	8	3	37.50%	7	3	57.14%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
16	San Diego Gulls	1	1	0	0	0	0	0	0	9	2	7	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	9	2	7	2	1.000	9	15	24	0	0	59	41	33	0	79	427	438	507	15	38	7	4	26	0	0	0%	2	0	100.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
17	San Jose Barracuda	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	59	41	33	0	31	427	438	507	15	28	11	8	16	6	0	0.00%	3	1	66.67%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
18	Syracuse Crunch	1	1	0	0	0	0	0	0	10	1	9	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	10	1	9	2	1.000	10	17	27	0	0	59	41	33	0	91	427	438	507	15	13	11	0	25	1	0	0.00%	0	0	0%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
19	Utica Comets	1	1	0	0	0	0	0	0	10	2	8	1	1	0	0	0	0	0	0	10	2	8	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	17	27	0	0	59	41	33	0	90	427	438	507	15	21	7	8	17	0	0	0%	3	0	100.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
20	Wilkes-Barre/Scranton Penguins	2	1	1	0	0	0	0	0	5	8	-3	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	5	10	15	0	0	59	41	33	0	58	427	438	507	15	65	31	4	35	9	2	22.22%	2	1	50.00%	0	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
	Total	24	16	5	0	0	1	0	2	133	71	62	11	7	1	0	0	1	0	2	68	36	32	13	9	4	0	0	0	0	0	65	35	30	35	0.729	133	250	383	0	0	59	41	33	0	1382	427	438	507	15	734	243	139	497	51	13	25.49%	59	16	72.88%	1	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
	_Since Last GM Reset	24	16	5	0	0	1	0	2	133	71	62	11	7	1	0	0	1	0	2	68	36	32	13	9	4	0	0	0	0	0	65	35	30	35	0.729	133	250	383	0	0	59	41	33	0	1382	427	438	507	15	734	243	139	497	51	13	25.49%	59	16	72.88%	1	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
	_Vs Conference	12	5	4	0	0	1	0	2	57	45	12	6	2	1	0	0	1	0	2	30	26	4	6	3	3	0	0	0	0	0	27	19	8	13	0.542	57	107	164	0	0	59	41	33	0	624	427	438	507	15	404	132	68	256	27	6	22.22%	33	10	69.70%	1	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168
	_Vs Division	6	2	2	0	0	1	0	1	25	24	1	3	0	1	0	0	1	0	1	11	16	-5	3	2	1	0	0	0	0	0	14	8	6	6	0.500	25	45	70	0	0	59	41	33	0	309	427	438	507	15	199	70	32	131	17	3	17.65%	15	2	86.67%	1	684	1049	65.20%	445	696	63.94%	302	443	68.17%	746	565	408	139	297	168

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
24	35	W1	133	250	383	1382	734	243	139	497	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	16	5	0	1	0	2	133	71

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	7	1	0	1	0	2	68	36

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	9	4	0	0	0	0	65	35

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
51	13	25.49%	59	16	72.88%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
427	438	507	15	59	41	33	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
684	1049	65.20%	445	696	63.94%	302	443	68.17%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
746	565	408	139	297	168

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
4	9	Calgary Wranglers	6	Abbotsford Canucks	3	L			BoxScore
6	22	Lehigh Valley Phantoms	2	Abbotsford Canucks	12	W			BoxScore
10	48	Abbotsford Canucks	10	Syracuse Crunch	1	W			BoxScore
12	65	Abbotsford Canucks	5	Charlotte Checkers	1	W			BoxScore
14	82	Abbotsford Canucks	6	Lehigh Valley Phantoms	2	W			BoxScore
17	100	Abbotsford Canucks	3	Rockford IceHogs	4	L			BoxScore
21	133	Wilkes-Barre/Scranton Penguins	2	Abbotsford Canucks	3	W			BoxScore
23	146	Chicago Wolves	4	Abbotsford Canucks	6	W			BoxScore
25	159	Utica Comets	2	Abbotsford Canucks	10	W			BoxScore
28	184	Abbotsford Canucks	0	San Jose Barracuda	2	L			BoxScore
31	203	Abbotsford Canucks	9	San Diego Gulls	2	W			BoxScore
33	218	Abbotsford Canucks	5	Ontario Reign	4	W			BoxScore
35	235	Bakersfield Condors	5	Abbotsford Canucks	4	L	X	X	BoxScore
38	250	Calgary Wranglers	5	Abbotsford Canucks	4	L	X		BoxScore
40	265	Bridgeport Islanders	2	Abbotsford Canucks	5	W			BoxScore
42	283	Rockford IceHogs	5	Abbotsford Canucks	4	L	X	X	BoxScore
43	285	Milwaukee Admirals	1	Abbotsford Canucks	9	W			BoxScore
45	300	Hartford Wolf Pack	2	Abbotsford Canucks	8	W			BoxScore
49	323	Abbotsford Canucks	4	Belleville Senators	3	W			BoxScore
52	345	Abbotsford Canucks	8	Providence Bruins	2	W			BoxScore
53	354	Abbotsford Canucks	2	Wilkes-Barre/Scranton Penguins	6	L			BoxScore
55	364	Abbotsford Canucks	3	Rochester Americans	1	W			BoxScore
57	388	Abbotsford Canucks	3	Grand Rapids Griffins	5	L			BoxScore
59	402	Abbotsford Canucks	7	Iowa Wild	2	W			BoxScore
62	422	Cleveland Monsters	-	Abbotsford Canucks	-
64	437	Syracuse Crunch	-	Abbotsford Canucks	-
66	455	Springfield Thunderbirds	-	Abbotsford Canucks	-
68	471	Charlotte Checkers	-	Abbotsford Canucks	-
70	486	Providence Bruins	-	Abbotsford Canucks	-
72	496	Colorado Eagles	-	Abbotsford Canucks	-
74	510	Abbotsford Canucks	-	Tucson Roadrunners	-
75	519	Abbotsford Canucks	-	Henderson Silver Knights	-
77	537	Belleville Senators	-	Abbotsford Canucks	-
79	555	San Jose Barracuda	-	Abbotsford Canucks	-
84	567	Coachella Valley Firebirds	-	Abbotsford Canucks	-
87	600	Abbotsford Canucks	-	Calgary Wranglers	-
89	613	Abbotsford Canucks	-	Coachella Valley Firebirds	-
90	619	Milwaukee Admirals	-	Abbotsford Canucks	-
93	638	Abbotsford Canucks	-	Laval Rocket	-
95	650	Abbotsford Canucks	-	Hershey Bears	-
97	666	Abbotsford Canucks	-	Chicago Wolves	-
98	672	Abbotsford Canucks	-	Toronto Marlies	-
101	702	Abbotsford Canucks	-	Manitoba Moose	-
103	719	Ontario Reign	-	Abbotsford Canucks	-
105	735	Bakersfield Condors	-	Abbotsford Canucks	-
108	755	Rochester Americans	-	Abbotsford Canucks	-
110	768	Abbotsford Canucks	-	Bakersfield Condors	-
112	786	Hershey Bears	-	Abbotsford Canucks	-
114	796	Abbotsford Canucks	-	Springfield Thunderbirds	-
116	810	Abbotsford Canucks	-	Milwaukee Admirals	-
118	823	Abbotsford Canucks	-	Texas Stars	-
120	842	Grand Rapids Griffins	-	Abbotsford Canucks	-
122	855	Colorado Eagles	-	Abbotsford Canucks	-
124	870	Abbotsford Canucks	-	San Jose Barracuda	-
126	884	Toronto Marlies	-	Abbotsford Canucks	-
140	905	Abbotsford Canucks	-	Henderson Silver Knights	-
141	915	Abbotsford Canucks	-	Tucson Roadrunners	-
144	932	Abbotsford Canucks	-	Ontario Reign	-
145	944	Abbotsford Canucks	-	San Diego Gulls	-
147	960	Abbotsford Canucks	-	Coachella Valley Firebirds	-
151	986	San Diego Gulls	-	Abbotsford Canucks	-
153	1000	Iowa Wild	-	Abbotsford Canucks	-
155	1019	Texas Stars	-	Abbotsford Canucks	-
Trade Deadline --- Trades can’t be done after this day is simulated!
157	1032	Laval Rocket	-	Abbotsford Canucks	-
158	1037	Abbotsford Canucks	-	Calgary Wranglers	-
161	1065	Rockford IceHogs	-	Abbotsford Canucks	-
162	1071	Tucson Roadrunners	-	Abbotsford Canucks	-
164	1086	Manitoba Moose	-	Abbotsford Canucks	-
166	1095	Abbotsford Canucks	-	Springfield Thunderbirds	-
168	1104	Abbotsford Canucks	-	Hartford Wolf Pack	-
170	1125	Abbotsford Canucks	-	Utica Comets	-
172	1139	Abbotsford Canucks	-	Bridgeport Islanders	-
174	1155	Abbotsford Canucks	-	Cleveland Monsters	-
176	1172	Abbotsford Canucks	-	Manitoba Moose	-
179	1196	Coachella Valley Firebirds	-	Abbotsford Canucks	-
182	1212	San Diego Gulls	-	Abbotsford Canucks	-
183	1229	Henderson Silver Knights	-	Abbotsford Canucks	-
185	1242	Abbotsford Canucks	-	Texas Stars	-
187	1256	Abbotsford Canucks	-	Colorado Eagles	-
189	1273	Iowa Wild	-	Abbotsford Canucks	-
191	1290	San Jose Barracuda	-	Abbotsford Canucks	-
193	1305	Henderson Silver Knights	-	Abbotsford Canucks	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
30	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
43,356$	142,259$	142,259$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
733$	43,356$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	134	733$	98,222$

Abbotsford 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

Abbotsford 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

Abbotsford 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

Abbotsford 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

Abbotsford 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

	Abbotsford Canucks
	GP: 24 \| W: 16 \| L: 5 \| OTL: 3 \| P: 35 GF: 133 \| GA: 71 \| PP%: 25.49% \| PK%: 72.88% GM : Mat Fargas \| Morale : 40 \| Team Overall : 62 Next Games #422 vs Cleveland Monsters