LSFH - Today's Games Farm

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Liam Foudy	91	C/LW	99.00	65	45	83	65	69	63	68	58	58	67	62	69	54	56	56	0	50	67	24	762,500$/2yrs
Dylan Guenther (R)	0	RW	99.00	67	38	80	63	62	64	57	61	50	71	61	64	51	52	55	0	50	66	21	1,744,167$/2yrs
Buddy Robinson	53	RW	99.00	63	60	73	60	80	63	62	57	54	62	58	64	54	66	61	0	50	65	32	750,000$/1yrs
Luke Philp	39	C	100.00	55	59	66	61	60	66	63	61	55	59	63	65	58	65	59	0	50	64	28	750,000$/2yrs
Alex Steeves	94	LW/RW	100.00	55	58	66	64	63	66	64	61	55	59	61	59	54	58	55	0	50	63	24	834,167$/2yrs
Danny O'Regan	65	C/LW	100.00	54	59	67	60	59	66	63	61	70	59	59	57	60	67	60	0	50	63	30	750,000$/1yrs
Lauri Pajuniemi	49	C	100.00	55	59	66	61	62	66	64	59	55	57	60	61	54	58	55	0	50	63	24	925,000$/1yrs
Alexander True	11	C/RW	100.00	55	56	65	60	68	67	65	59	70	58	58	63	55	62	57	0	50	63	26	750,000$/2yrs
Angus Crookshank	9	LW	99.00	55	59	62	61	58	64	62	60	55	57	61	56	54	58	55	0	50	62	24	838,333$/2yrs
Austin Wagner	51	LW/RW	100.00	57	54	68	57	66	62	61	56	54	58	58	62	54	62	57	0	50	62	26	1,133,333$/1yrs
Greg Meireles	81	RW	100.00	55	56	66	58	59	65	63	57	55	57	56	59	55	58	55	0	50	61	25	750,000$/1yrs
Mikhail Abramov	95	C	100.00	54	55	67	58	57	65	63	58	70	57	57	60	55	55	53	0	50	61	23	809,444$/2yrs
Daniil Miromanov (R)	0	D	100.00	56	54	72	61	69	65	59	59	40	62	58	63	54	60	57	0	50	64	26	762,500$/2yrs
Maxime Lajoie	42	D	100.00	55	56	66	60	65	66	64	60	40	60	57	61	54	62	57	0	50	63	26	750,000$/2yrs
Dakota Mermis	57	D	100.00	56	54	62	60	63	66	65	58	40	58	56	61	54	67	60	0	50	62	30	750,000$/2yrs
Xavier Ouellet	61	D	100.00	55	55	65	59	63	62	61	58	40	58	55	62	54	69	61	0	50	62	30	762,500$/2yrs
Luke Hughes	0	D	100.00	54	38	78	62	66	69	53	63	38	57	51	57	51	51	55	0	50	61	20	1,850,000$/2yrs
Scratches
Jacob Perreault (R)	0	RW	100.00	56	55	64	58	63	63	62	58	55	57	57	58	55	53	52	0	50	61	22	863,333$/3yrs
Matthew Wedman	58	C/LW	100.00	56	55	64	57	68	64	62	55	55	55	56	59	54	58	55	0	50	60	24	750,000$/1yrs
Kale Howarth	47	C/LW	100.00	55	54	67	56	68	59	58	54	55	54	54	60	54	62	57	0	50	59	26	750,000$/1yrs
Filip Cederqvist (R)	0	LW/RW	100.00	52	52	63	55	64	62	60	54	52	53	54	58	51	54	51	0	50	58	23	825,002$/1yrs
Maxence Guenette	50	D	86.27	55	55	67	60	65	67	64	59	40	60	56	58	54	55	53	0	50	62	22	813,333$/2yrs
Jacob Larsson	32	D	100.00	57	53	65	58	65	65	63	56	40	57	55	61	54	62	57	0	50	61	26	750,000$/2yrs
Vincent Iorio (R)	0	D	100.00	52	50	65	56	64	63	61	55	38	55	52	61	51	51	49	0	50	59	21	863,333$/3yrs
Albert Johansson (R)	0	D	100.00	52	54	62	54	58	61	60	53	38	53	53	56	51	52	50	0	50	57	23	919,167$/1yrs
Maxwell Crozier (R)	0	D	100.00	52	51	65	52	59	53	52	51	38	52	51	57	51	54	51	0	50	56	25	925,000$/3yrs

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

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Chris Driedger	60	98.00	64	62	62	77	67	60	70	60	62	60	67	66	59	0	50	65	29	3,500,000$/2yrs
Joey Daccord	35	100.00	64	64	64	69	67	61	68	64	59	60	60	63	57	0	50	65	27	750,000$/3yrs
Scratches
Remi Poirier	0	100.00	54	55	56	64	63	51	64	55	54	54	64	51	48	0	50	58	22	836,667$/2yrs
Jesper Vikman	0	100.00	51	51	51	67	61	51	64	51	54	52	62	49	48	0	50	56	22	858,000$/3yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Paul Maurice	81	85	83	81	82	77	66	CAN	49	5	0$

General Manager

Player Stats

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	EG	HT	P/GP	PSS	GSAVG
1	Luke Philp	Canucks (VAN)	C	82	38	35	73	10	45	5	130	256	72	189	14.84%	15	18.56	5	10	15	2	0	2	152	3	1	45.88%	0	0	0.89	0	0.85
2	Dylan Guenther	Canucks (VAN)	RW	77	22	46	68	4	40	0	148	231	66	169	9.52%	23	19.45	8	10	18	2	0	2	161	3	0	42.86%	0	0	0.88	2	0.83
3	Buddy Robinson	Canucks (VAN)	RW	82	21	45	66	-3	54	10	156	222	79	168	9.46%	15	18.06	4	12	16	0	2	2	67	4	1	39.20%	0	1	0.80	1	0.71
4	Liam Foudy	Canucks (VAN)	C/LW	79	22	39	61	-7	14	0	112	305	80	223	7.21%	27	21.16	2	13	15	1	1	2	224	4	0	49.17%	0	0	0.77	4	0.84
5	Danny O'Regan	Canucks (VAN)	C/LW	81	20	38	58	12	24	0	82	183	49	146	10.93%	10	17.13	3	7	10	0	1	1	61	0	1	50.57%	0	0	0.72	0	0.71
6	Alexander True	Canucks (VAN)	C/RW	78	18	29	47	-11	20	0	102	199	46	120	9.05%	13	16.16	4	3	7	0	1	1	164	2	1	52.46%	0	0	0.60	1	0.55
7	Maxime Lajoie	Canucks (VAN)	D	74	10	31	41	8	63	5	150	93	44	54	10.75%	122	21.50	6	8	14	0	1	1	175	1	0	0.00%	0	0	0.55	0	0.49
8	Alex Steeves	Canucks (VAN)	LW/RW	81	16	23	39	-3	28	0	61	143	40	98	11.19%	9	10.51	4	7	11	0	0	0	39	2	2	47.06%	0	1	0.48	0	0.44
9	Lauri Pajuniemi	Canucks (VAN)	C	81	18	21	39	-4	49	5	81	150	40	86	12.00%	24	12.23	1	0	1	0	0	0	10	1	1	47.42%	0	0	0.48	0	0.39
10	Dakota Mermis	Canucks (VAN)	D	79	7	30	37	0	56	0	190	99	37	73	7.07%	131	21.58	5	8	13	0	0	0	230	3	0	0.00%	0	0	0.47	0	0.44
11	Luke Hughes	Canucks (VAN)	D	79	9	26	35	-33	20	0	77	111	39	67	8.11%	88	17.76	6	7	13	0	0	0	129	1	2	0.00%	0	0	0.44	0	0.30
12	Xavier Ouellet	Canucks (VAN)	D	71	8	24	32	-12	50	0	129	82	26	53	9.76%	90	20.74	3	3	6	0	1	1	178	0	0	0.00%	0	0	0.45	0	0.32
13	Maxence Guenette	Canucks (VAN)	D	82	8	24	32	-28	80	0	133	112	27	58	7.14%	106	18.49	1	3	4	1	0	1	160	0	1	0.00%	0	0	0.39	0	0.18
14	Daniil Miromanov	Canucks (VAN)	D	33	6	22	28	16	22	0	54	40	13	30	15.00%	49	21.82	3	7	10	0	2	2	85	0	1	0.00%	0	0	0.85	0	0.83
15	Austin Wagner	Canucks (VAN)	LW/RW	76	11	17	28	-4	12	0	60	92	22	66	11.96%	9	9.15	1	2	3	0	0	0	30	1	1	41.89%	0	0	0.37	0	0.33
16	Angus Crookshank	Canucks (VAN)	LW	76	13	13	26	-15	13	5	72	93	31	60	13.98%	7	10.47	0	0	0	0	0	0	33	2	0	49.09%	0	0	0.34	0	0.27
17	Jacob Larsson	Canucks (VAN)	D	55	6	19	25	18	48	0	119	54	25	23	11.11%	85	19.89	2	0	2	0	0	0	142	1	0	0.00%	0	0	0.45	0	0.47
18	Vincent Iorio	Canucks (VAN)	D	47	3	9	12	-7	53	5	84	27	13	20	11.11%	50	16.89	1	0	1	0	0	0	65	2	1	0.00%	0	0	0.26	0	0.06
19	Greg Meireles	Canucks (VAN)	RW	46	4	7	11	-5	4	0	24	42	15	30	9.52%	3	5.86	0	0	0	0	0	0	0	2	0	42.86%	0	0	0.24	0	0.21
20	Jacob Perreault	Canucks (VAN)	RW	31	5	5	10	-2	10	0	29	31	6	27	16.13%	3	7.53	0	2	2	0	0	0	0	1	0	27.78%	0	0	0.32	0	0.26
21	Mikhail Abramov	Canucks (VAN)	C	36	3	6	9	5	2	0	11	15	5	10	20.00%	1	4.72	0	0	0	0	0	0	0	1	1	50.28%	0	0	0.25	0	0.25
22	Maxwell Crozier	Canucks (VAN)	D	11	1	1	2	5	14	0	15	8	2	3	12.50%	6	16.47	1	0	1	0	0	0	12	0	0	0.00%	0	0	0.18	0	0.18
23	Albert Johansson	Canucks (VAN)	D	13	1	1	2	12	8	0	19	10	0	3	10.00%	14	16.96	1	0	1	0	0	0	7	1	0	0.00%	0	0	0.15	0	0.46
24	Matthew Wedman	Canucks (VAN)	C/LW	2	0	0	0	0	0	0	1	0	0	0	0.00%	0	0.57	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0.01
Team Total or Average			1452	270	511	781	-44	729	35	2039	2598	777	1776	10.39%	900	16.20	61	102	163	2450	6	9	15	2134	35	14	48.23%	6876	0	0	2	0.66	0	8

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

#	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	Joey Daccord	Canucks (VAN)	59	23	26	5	0.892	3.63	3240	8	0	196	1818	0	2	0	0.545	11	54	27	2	1	3
2	Chris Driedger	Canucks (VAN)	35	13	13	2	0.894	3.81	1719	0	0	109	1024	0	4	0	0.667	3	28	54	1	1	1
Team Total or Average		94	36	39	7	0.893	3.69	4960	8	0	305	2842	0	6	0	0.571	14	82	81	3	2	4

Salary

Player Name	POS	Age	Cap Hit	2023-24	2024-25	2025-26	2026-27
Albert Johansson	D	23	919,167$	919,167$	RFA
Alex Steeves	LW/RW	24	834,167$	834,167$	834,167$	UFA
Alexander True	C/RW	26	750,000$	750,000$	775,000$	UFA
Angus Crookshank	LW	24	838,333$	838,333$	838,333$	UFA
Austin Wagner	LW/RW	26	1,133,333$	1,133,333$	UFA
Buddy Robinson	RW	32	750,000$	750,000$	UFA
Chris Driedger	G	29	3,500,000$	3,500,000$	3,500,000$	UFA
Dakota Mermis	D	30	750,000$	750,000$	775,000$	UFA
Daniil Miromanov	D	26	762,500$	762,500$	762,500$	UFA
Danny O'Regan	C/LW	30	750,000$	750,000$	UFA
Dylan Guenther	RW	21	1,744,167$	1,744,167$	1,744,167$	RFA
Filip Cederqvist	LW/RW	23	825,002$	825,002$	RFA
Greg Meireles	RW	25	750,000$	750,000$	UFA
Jacob Larsson	D	26	750,000$	750,000$	775,000$	UFA
Jacob Perreault	RW	22	863,333$	863,333$	863,333$	863,333$	RFA
Jesper Vikman	G	22	858,000$	858,000$	858,000$	858,000$	RFA
Joey Daccord	G	27	750,000$	750,000$	1,200,000$	1,200,000$	UFA
Kale Howarth	C/LW	26	750,000$	750,000$	UFA
Lauri Pajuniemi	C	24	925,000$	925,000$	UFA
Liam Foudy	C/LW	24	762,500$	762,500$	762,500$	UFA
Luke Hughes	D	20	1,850,000$	1,850,000$	1,850,000$	RFA
Luke Philp	C	28	750,000$	750,000$	775,000$	UFA
Matthew Wedman	C/LW	24	750,000$	750,000$	UFA
Maxence Guenette	D	22	813,333$	813,333$	813,333$	RFA
Maxime Lajoie	D	26	750,000$	750,000$	775,000$	UFA
Maxwell Crozier	D	25	925,000$	925,000$	925,000$	925,000$	UFA
Mikhail Abramov	C	23	809,444$	809,444$	809,444$	RFA
Remi Poirier	G	22	836,667$	836,667$	836,667$	RFA
Vincent Iorio	D	21	863,333$	863,333$	863,333$	863,333$	RFA
Xavier Ouellet	D	30	762,500$	762,500$	762,500$	UFA

Lines

Forward Lines
# - Danny O'Regan	# - Liam Foudy	# - Dylan Guenther
# - Alex Steeves	# - Luke Philp	# - Buddy Robinson
# - Austin Wagner	# - Alexander True	# - Angus Crookshank
# - Angus Crookshank	# - Lauri Pajuniemi	# - Greg Meireles

Defensive Pairings
# - Daniil Miromanov	# - Maxime Lajoie
# - Dakota Mermis	# - Xavier Ouellet
# - Lauri Pajuniemi

1st Power Play Unit
# - Danny O'Regan		# - Liam Foudy		# - Dylan Guenther
# - Daniil Miromanov			# - Maxime Lajoie

2nd Power Play Unit
# - Alex Steeves		# - Luke Philp		# - Buddy Robinson
# - Dakota Mermis			# - Xavier Ouellet

Goalies
# - Joey Daccord		# - Chris Driedger

Team Stats

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

#	VS Team	GP	W	L	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	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	GF%	SH%	SV%	PDO	PDOBRK
1	Checkers	2	1	1	0	0	0	0	7	8	-1	2	0.500	7	13	20	111	87	91	7	55	927	907	942	51	55	20	12	48	8	2	25.00%	5	1	80.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	41.7%	12.7%	85.5%	98.2	FUN
2	Marlies	2	1	1	0	0	0	0	8	11	-3	2	0.500	8	16	24	111	87	91	7	87	927	907	942	51	69	27	25	68	8	2	25.00%	10	3	70.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	42.9%	9.2%	84.1%	93.3	FUN
3	Americans	2	1	0	0	0	0	1	8	8	0	3	0.750	8	12	20	111	87	91	7	74	927	907	942	51	63	18	8	53	7	2	28.57%	4	1	75.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	46.2%	10.8%	87.3%	98.1	FUN
4	Binghamton Senateurs	2	0	2	0	0	0	0	5	10	-5	0	0.000	5	8	13	111	87	91	7	92	927	907	942	51	72	26	10	61	12	2	16.67%	5	1	80.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	25.0%	5.4%	86.1%	91.5	Unlucky
5	Bears	2	2	0	0	0	0	0	12	4	8	4	1.000	12	20	32	111	87	91	7	85	927	907	942	51	62	27	22	50	9	2	22.22%	9	0	100.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	71.4%	14.1%	93.5%	107.7	LUCKY
6	Rockets	2	0	1	0	1	0	0	6	9	-3	1	0.250	6	12	18	111	87	91	7	66	927	907	942	51	70	28	31	62	7	0	0.00%	9	2	77.78%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	46.2%	9.1%	87.1%	96.2	FUN
7	Providence Bruins	2	1	1	0	0	0	0	8	7	1	2	0.500	8	16	24	111	87	91	7	86	927	907	942	51	61	17	21	38	11	3	27.27%	9	3	66.67%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	55.6%	9.3%	88.5%	97.8	FUN
8	Wolves	2	0	2	0	0	0	0	3	8	-5	0	0.000	3	5	8	111	87	91	7	52	927	907	942	51	72	17	24	52	4	1	25.00%	10	0	100.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	20.0%	5.8%	88.9%	94.7	Unlucky
9	Eagles	3	0	3	0	0	0	0	5	12	-7	0	0.000	5	9	14	111	87	91	7	78	927	907	942	51	93	27	30	93	8	1	12.50%	15	4	73.33%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	33.3%	6.4%	87.1%	93.5	Unlucky
10	Phantoms	2	0	0	0	0	0	2	5	7	-2	2	0.500	5	8	13	111	87	91	7	73	927	907	942	51	73	19	24	52	5	2	40.00%	12	2	83.33%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	37.5%	6.8%	90.4%	97.3	Unlucky
11	Wolf Pack	2	2	0	0	0	0	0	11	7	4	4	1.000	11	18	29	111	87	91	7	65	927	907	942	51	61	18	8	40	13	2	15.38%	4	0	100.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	56.3%	16.9%	88.5%	105.4	FUN
12	islanders	2	1	1	0	0	0	0	9	7	2	2	0.500	9	14	23	111	87	91	7	72	927	907	942	51	77	26	37	54	9	2	22.22%	8	2	75.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	58.3%	12.5%	90.9%	103.4	FUN
13	IceHogs	3	1	2	0	0	0	0	13	15	-2	2	0.333	13	24	37	111	87	91	7	128	927	907	942	51	109	44	22	78	18	4	22.22%	11	0	100.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	37.5%	10.2%	86.2%	96.4	FUN
14	Griffins	2	0	2	0	0	0	0	4	8	-4	0	0.000	4	7	11	111	87	91	7	80	927	907	942	51	79	12	22	49	6	1	16.67%	11	1	90.91%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	30.0%	5.0%	89.9%	94.9	Unlucky
15	Monsters	2	0	2	0	0	0	0	5	9	-4	0	0.000	5	9	14	111	87	91	7	66	927	907	942	51	91	28	26	50	6	1	16.67%	13	5	61.54%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	50.0%	7.6%	90.1%	97.7	Unlucky
16	Barracuda	4	2	1	1	0	0	0	15	13	2	6	0.750	15	28	43	111	87	91	7	137	927	907	942	51	135	37	28	109	12	3	25.00%	12	3	75.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	54.5%	10.9%	90.4%	101.3	FUN
17	Condors	3	1	2	0	0	0	0	8	13	-5	2	0.333	8	14	22	111	87	91	7	72	927	907	942	51	110	33	32	81	5	0	0.00%	13	5	61.54%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	50.0%	11.1%	88.2%	99.3	FUN
18	Iowa Wild	3	0	1	0	2	0	0	9	13	-4	2	0.333	9	14	23	111	87	91	7	87	927	907	942	51	84	22	16	46	11	1	9.09%	7	2	71.43%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	42.1%	10.3%	84.5%	94.9	FUN
19	Reign	4	2	2	0	0	0	0	14	14	0	4	0.500	14	25	39	111	87	91	7	135	927	907	942	51	152	39	47	86	16	4	25.00%	19	7	63.16%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	58.8%	10.4%	90.8%	101.2	FUN
20	Thunderbirds	3	1	2	0	0	0	0	11	12	-1	2	0.333	11	20	31	111	87	91	7	94	927	907	942	51	119	33	24	77	13	3	23.08%	11	0	100.00%	1	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	40.0%	11.7%	89.9%	101.6	FUN
21	Wranglers	4	0	1	2	0	1	0	13	11	2	6	0.750	13	20	33	111	87	91	7	133	927	907	942	51	130	33	41	102	10	2	20.00%	17	2	88.24%	3	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	55.0%	9.8%	91.5%	101.3	LUCKY
22	Gulls	4	1	3	0	0	0	0	17	19	-2	2	0.250	17	30	47	111	87	91	7	131	927	907	942	51	160	50	38	119	16	2	12.50%	19	5	73.68%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	51.7%	13.0%	88.1%	101.1	FUN
23	Texas Stars	3	1	2	0	0	0	0	9	8	1	2	0.333	9	17	26	111	87	91	7	86	927	907	942	51	88	25	26	80	13	3	23.08%	13	2	84.62%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	50.0%	10.5%	90.9%	101.4	FUN
24	Comets	2	2	0	0	0	0	0	8	2	6	4	1.000	8	14	22	111	87	91	7	64	927	907	942	51	73	26	14	45	5	0	0.00%	7	0	100.00%	1	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	80.0%	12.5%	97.3%	109.8	LUCKY
25	W-B/Scranton Penguins	2	2	0	0	0	0	0	10	8	2	4	1.000	10	18	28	111	87	91	7	78	927	907	942	51	71	27	12	61	10	1	10.00%	6	1	83.33%	1	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	56.3%	12.8%	88.7%	101.6	FUN
26	Roadrunners	3	2	1	0	0	0	0	12	7	5	4	0.667	12	23	35	111	87	91	7	112	927	907	942	51	90	44	24	66	12	4	33.33%	12	3	75.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	66.7%	10.7%	92.2%	102.9	LUCKY
27	Crunch	2	0	1	0	0	0	1	7	12	-5	1	0.250	7	13	20	111	87	91	7	71	927	907	942	51	81	17	20	55	3	0	0.00%	8	1	87.50%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	38.9%	9.9%	85.2%	95.0	FUN
28	Admirals	3	3	0	0	0	0	0	14	9	5	6	1.000	14	26	40	111	87	91	7	98	927	907	942	51	97	25	20	80	11	3	27.27%	10	1	90.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	57.9%	14.3%	90.7%	105.0	FUN
29	Moose	3	1	1	1	0	0	0	11	10	1	4	0.667	11	21	32	111	87	91	7	88	927	907	942	51	106	37	41	73	8	3	37.50%	15	3	80.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	53.3%	12.5%	90.6%	103.1	FUN
30	Silver Knights	3	1	1	1	0	0	0	13	12	1	4	0.667	13	24	37	111	87	91	7	112	927	907	942	51	116	33	30	78	13	4	30.77%	15	4	73.33%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	52.9%	11.6%	89.7%	101.3	FUN
31	Firebirds	4	1	3	0	0	0	0	15	16	-1	2	0.250	15	29	44	111	87	91	7	156	927	907	942	51	123	52	26	110	8	1	12.50%	8	2	75.00%	0	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	50.0%	9.6%	87.0%	96.6	FUN
	_Vs Division	26	8	13	4	0	1	0	95	98	-3	26	0.500	95	170	265	111	87	91	7	876	927	907	942	51	926	277	242	685	80	16	20.00%	103	28	72.82%	3	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	53.0%	10.8%	89.4%	100.3	FUN
	_Vs Conference	50	17	25	5	2	1	0	179	184	-5	48	0.480	179	324	503	111	87	91	7	1647	927	907	942	51	1712	534	445	1278	174	38	21.84%	197	43	78.17%	4	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	50.0%	10.9%	89.3%	100.1	FUN
	_Since Last GM Reset	82	30	39	5	3	1	4	295	309	-14	79	0.482	295	527	822	111	87	91	7	2813	927	907	942	51	2842	887	761	2116	297	61	20.54%	327	66	79.82%	6	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	49.1%	10.5%	89.1%	99.6	FUN
	Total	82	30	39	5	3	1	4	295	309	-14	79	0.482	295	527	822	111	87	91	7	2813	927	907	942	51	2842	887	761	2116	297	61	20.54%	327	66	79.82%	6	1423	2911	48.88%	1427	2955	48.29%	674	1403	48.04%	1889	1257	1983	639	1094	538	49.1%	10.5%	89.1%	99.6	FUN

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	2911
Neutral Zone Start	1403
Defensive Zone Start	2955

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	3524
Faceoffs Lost	3745

	Team Average Shots after	League Average Shots after
1st Period	11.3	9.57
2nd Period	22.4	20.31
3rd Period	33.9	30.68
Overtime	34.5	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.4	0.64
2nd Period	2.4	1.65
3rd Period	3.5	2.67
Overtime	3.6	2.83


Even Strenght Goal	228
PP Goal	61
PK Goal	6
Empty Net Goal	0

	Home	Away
Win	16	20
Lost	21	18
Overtime Lost	4	3


PP Attempt	297
PP Goal	61
PK Attempt	327
PK Goal Against	66

	Home
Shots For	34.3
Shots Against	34.7
Goals For	3.6
Goals Against	3.8
Hits	25.8
Shots Blocked	10.8
Pim	9.3

Schedule

Date	Matchup			Result	Detail
Wed, Oct 18	ABB	@	BAK	ABB1,BAK3	RECAP
Sat, Oct 21	ABB	@	LEV	ABB2,LEV3 (SO)	RECAP
Mon, Oct 23	ABB	@	HER	ABB5,HER1	RECAP
Tue, Oct 24	ABB	@	CLE	ABB4,CLE5	RECAP
Thu, Oct 26	ABB	@	IOW	ABB2,IOW3 (OT)	RECAP
Sat, Oct 28	ROC	@	ABB	ROC5,ABB4 (SO)	RECAP
Mon, Oct 30	CHW	@	ABB	CHW3,ABB1	RECAP
Thu, Nov 2	ABB	@	FCV	ABB2,FCV5	RECAP
Fri, Nov 3	WBS	@	ABB	WBS3,ABB4	RECAP
Tue, Nov 7	UTI	@	ABB	UTI1,ABB3	RECAP
Thu, Nov 9	SDG	@	ABB	SDG4,ABB3	RECAP
Sat, Nov 11	MIL	@	ABB	MIL4,ABB5	RECAP
Tue, Nov 14	ABB	@	BNG	ABB2,BNG6	RECAP
Wed, Nov 15	ABB	@	LVL	ABB3,LVL4 (OT)	RECAP
Sat, Nov 18	ABB	@	MAR	ABB5,MAR4	RECAP
Sun, Nov 19	ABB	@	PRO	ABB4,PRO2	RECAP
Tue, Nov 21	ABB	@	ROC	ABB4,ROC3	RECAP
Fri, Nov 24	ONT	@	ABB	ONT3,ABB2	RECAP
Mon, Nov 27	HEN	@	ABB	HEN3,ABB4	RECAP
Wed, Nov 29	ABB	@	EAG	ABB1,EAG4	RECAP
Sat, Dec 2	ABB	@	HEN	ABB4,HEN3 (OT)	RECAP
Sun, Dec 3	ABB	@	SJB	ABB3,SJB1	RECAP
Tue, Dec 5	HER	@	ABB	HER3,ABB7	RECAP
Thu, Dec 7	CHA	@	ABB	CHA5,ABB2	RECAP
Sat, Dec 9	TUC	@	ABB	TUC4,ABB1	RECAP
Mon, Dec 11	LVL	@	ABB	LVL5,ABB3	RECAP
Wed, Dec 13	ABB	@	SJB	ABB4,SJB3	RECAP
Sat, Dec 16	IOW	@	ABB	IOW5,ABB4 (OT)	RECAP
Wed, Dec 20	ABB	@	WRA	ABB5,WRA4 (SO)	RECAP
Sat, Dec 23	MAN	@	ABB	MAN1,ABB4	RECAP
Mon, Dec 25	SPR	@	ABB	SPR2,ABB4	RECAP
Thu, Dec 28	FCV	@	ABB	FCV4,ABB3	RECAP
Fri, Dec 29	ABB	@	BAK	ABB2,BAK6	RECAP
Tue, Jan 2	SJB	@	ABB	SJB6,ABB4	RECAP
Thu, Jan 4	ABB	@	MAN	ABB5,MAN4 (OT)	RECAP
Sat, Jan 6	ABB	@	WRA	ABB2,WRA3	RECAP
Tue, Jan 9	BRI	@	ABB	BRI1,ABB5	RECAP
Thu, Jan 11	EAG	@	ABB	EAG3,ABB0	RECAP
Sun, Jan 14	ABB	@	MAN	ABB2,MAN5	RECAP
Tue, Jan 16	ABB	@	WBS	ABB6,WBS5	RECAP
Thu, Jan 18	ABB	@	SYR	ABB3,SYR7	RECAP
Sat, Jan 20	ABB	@	CHA	ABB5,CHA3	RECAP
Sun, Jan 21	ABB	@	CHW	ABB2,CHW5	RECAP
Wed, Jan 24	SYR	@	ABB	SYR5,ABB4 (SO)	RECAP
Fri, Jan 26	EAG	@	ABB	EAG5,ABB4	RECAP
Sat, Jan 27	BAK	@	ABB	BAK4,ABB5	RECAP
Tue, Jan 30	RFD	@	ABB	RFD3,ABB2	RECAP
Wed, Jan 31	ABB	@	FCV	ABB6,FCV2	RECAP
Fri, Feb 2	CLE	@	ABB	CLE4,ABB1	RECAP
Mon, Feb 12	ABB	@	UTI	ABB5,UTI1	RECAP
Wed, Feb 14	ABB	@	HAR	ABB5,HAR3	RECAP
Thu, Feb 15	ABB	@	BRI	ABB4,BRI6	RECAP
Sat, Feb 17	ABB	@	GRG	ABB2,GRG4	RECAP
Mon, Feb 19	GRG	@	ABB	GRG4,ABB2	RECAP
Wed, Feb 21	HAR	@	ABB	HAR4,ABB6	RECAP
Sat, Feb 24	LEV	@	ABB	LEV4,ABB3 (SO)	RECAP
Tue, Feb 27	ABB	@	MIL	ABB3,MIL2	RECAP
Thu, Feb 29	ABB	@	SPR	ABB5,SPR6	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Sat, Mar 2	PRO	@	ABB	PRO5,ABB4	RECAP
Mon, Mar 4	ABB	@	TEX	ABB2,TEX4	RECAP
Thu, Mar 7	IOW	@	ABB	IOW5,ABB3	RECAP
Sat, Mar 9	MAR	@	ABB	MAR7,ABB3	RECAP
Mon, Mar 11	MIL	@	ABB	MIL3,ABB6	RECAP
Wed, Mar 13	SDG	@	ABB	SDG6,ABB5	RECAP
Sat, Mar 16	BNG	@	ABB	BNG4,ABB3	RECAP
Tue, Mar 19	TEX	@	ABB	TEX2,ABB6	RECAP
Thu, Mar 21	ABB	@	TUC	ABB6,TUC1	RECAP
Sat, Mar 23	ABB	@	ONT	ABB4,ONT6	RECAP
Sun, Mar 24	ABB	@	SDG	ABB3,SDG4	RECAP
Tue, Mar 26	HEN	@	ABB	HEN6,ABB5	RECAP
Thu, Mar 28	SJB	@	ABB	SJB3,ABB4 (OT)	RECAP
Sat, Mar 30	ABB	@	TEX	ABB1,TEX2	RECAP
Sun, Mar 31	ABB	@	RFD	ABB6,RFD5	RECAP
Tue, Apr 2	ABB	@	SPR	ABB2,SPR4	RECAP
Fri, Apr 5	WRA	@	ABB	WRA2,ABB3 (OT)	RECAP
Sun, Apr 7	ONT	@	ABB	ONT2,ABB4	RECAP
Tue, Apr 9	FCV	@	ABB	FCV5,ABB4	RECAP
Thu, Apr 11	RFD	@	ABB	RFD7,ABB5	RECAP
Sat, Apr 13	WRA	@	ABB	WRA2,ABB3 (OT)	RECAP
Mon, Apr 15	ABB	@	ONT	ABB4,ONT3	RECAP
Tue, Apr 16	ABB	@	SDG	ABB6,SDG5	RECAP
Thu, Apr 18	ABB	@	TUC	ABB5,TUC2	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,907,577$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Abbotsford
	Capacity	3000
	Season Ticket Holders	10%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	40$	25$	$	$	$
Attendance	53370	22277
Attendance PCT	65.09%	54.33%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	1845 - 61.50%	97,821$	4,010,670$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,907,577$	2,907,577$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,775,569$	0$	2,759,241$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	15,384$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	0$	0$

Sponsors
TV Rights	Primary Sponsor	Secondary Sponsor	Secondary Sponsor

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Transactions

Injuries

No Injury or Suspension.

Game Center

Canucks36-39-7, 79pts

65Final

Gulls40-32-10, 90pts

Canucks36-39-7, 79pts

52Final

Roadrunners35-38-9, 79pts

Canucks36-39-7, 79pts

Fri, Apr 19

Roadrunners35-38-9, 79pts

Canucks36-39-7, 79pts

Sun, Oct 22

Phantoms36-40-6, 78pts

Canucks36-39-7, 79pts

Tue, Oct 24

Bears27-50-5, 59pts

TRANSACTIONS

Team Info


	Head Coach	Paul Maurice
	Division	PACIFIQUE
	City	Abbotsford
	Stadium Capacity	3,000

Canucks Affiliation


	General Manager
	Head Coach	Bruce Boudreau
	Stadium
	Capacity	17,000

Team Leaders

GOALS Luke Philp Canucks	38 GOALS
POINTS Luke Philp Canucks	73 POINTS
WINS Joey Daccord Canucks	23 WINS
Expanded Player Leaderboard

Team Stats

Goals For 295 3.60 GFG	Goals Against 309 3.77 GAA
Power Play Percentage 20.5% 61 GF	Penalty Kill Percentage 79.8% 66 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain