Profi League - Today's Games Farm

Roster

PLAYER	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	MO	OV	AGE	CONTRACT
Brendan Gaunce	C	100.00	73	35	90	47	85	81	85	48	82	47	49	64	52	71	72	75	52	31	900,000$ / 2 yrs
Logan Shaw	RW	100.00	58	39	87	48	84	93	93	47	77	49	48	67	75	74	75	71	52	32	900,000$ / 2 yrs
John Hayden	C	100.00	79	86	78	43	87	92	93	42	72	43	45	65	68	71	72	71	50	30	900,000$ / 2 yrs
Kyle Criscuolo	C	100.00	61	35	87	46	76	88	90	45	74	46	45	61	70	73	74	72	50	32	800,000$ / 2 yrs
Marian Studenic ''A''	LW	100.00	61	36	90	45	77	92	94	45	58	48	45	62	69	68	69	44	50	26	900,000$ / 1 yrs
Shane Wright (R)	C	100.00	65	31	88	46	81	81	83	46	76	48	47	62	77	63	61	72	50	21	100,000$ / 6 yrs
Zac Dalpe ''A''	C/RW	100.00	64	39	84	45	81	92	92	44	68	45	47	60	69	79	74	75	50	35	900,000$ / 1 yrs
Mikhail Abramov	C	100.00	57	36	89	46	76	84	87	45	73	46	44	62	67	64	65	29	49	24	100,000$ / 6 yrs
Jacob Perreault	RW	100.00	58	39	77	42	78	81	83	41	58	44	43	59	63	64	65	72	48	22	100,000$ / 6 yrs
Bogdan Trineyev (R)	LW	100.00	64	34	88	38	81	82	85	39	71	41	42	59	62	64	65	26	47	23	100,000$ / 6 yrs
Cross Hanas	C/LW/RW	100.00	59	35	81	39	76	85	87	40	65	42	43	61	64	64	65	35	47	23	100,000$ / 6 yrs
Tyler Boucher (R)	LW/RW	100.00	58	31	76	37	81	68	71	38	66	41	41	58	58	63	61	40	46	22	100,000$ / 6 yrs
Alexander Alexeyev	D	100.00	72	34	94	36	85	82	71	35	30	46	46	74	49	68	67	46	54	25	900,000$ / 1 yrs
Ryan Johnson (R)	D	100.00	64	36	88	37	78	82	86	37	30	50	46	73	50	65	64	74	53	23	900,000$ / 2 yrs
Joe Hicketts	D	100.00	68	37	85	33	75	73	75	34	30	52	40	69	45	69	70	68	52	28	900,000$ / 2 yrs
Chris Harpur	D	100.00	86	39	80	32	84	70	71	33	30	43	39	67	45	70	69	33	52	28	800,000$ / 2 yrs
Lassi Thomson	D	100.00	75	35	82	34	78	95	95	33	30	44	41	71	48	65	66	28	52	24	900,000$ / 1 yrs
Logan Day	D	100.00	71	39	86	35	81	83	83	34	30	46	41	66	48	71	69	42	51	30	900,000$ / 2 yrs
Scratches
Ben McCartney	LW	100.00	79	39	76	40	76	77	80	41	58	45	42	58	64	64	65	34	48	23	100,000$ / 6 yrs
Luke Henman	C	100.00	57	38	83	40	72	81	82	40	72	42	43	59	66	65	66	19	47	24	100,000$ / 6 yrs
Dmitri Ovchinnikov (R)	C	100.00	58	35	87	39	75	74	76	38	64	39	43	61	61	64	65	20	46	22	100,000$ / 6 yrs
Mitchell Hoelscher	C	100.00	66	34	89	39	73	77	78	38	63	43	39	59	63	65	66	19	46	25	100,000$ / 6 yrs
Calle Rosen	D	100.00	65	37	88	34	78	86	89	35	30	48	40	71	50	77	72	69	52	31	900,000$ / 2 yrs
Ryan Jones	D	100.00	69	36	81	30	80	68	71	31	30	39	39	66	42	69	70	26	49	28	700,000$ / 2 yrs
Travis Howe (R)	D	100.00	72	35	72	30	81	81	80	31	30	39	37	66	48	71	69	26	49	31	700,000$ / 2 yrs

	TEAM AVERAGE	100.00	66	38	84	39	79	82	83	39	55	45	43	64	59	68	68	47	50

GOALIE	POS	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	MO	OV	AGE	CONTRACT
Pheonix Copley	G	99.00	76	76	77	93	75	78	78	79	78	75	75	84	79	67	66	33	900,000$ / 2 yrs
Yaroslav Askarov (R)	G	100.00	77	85	86	92	75	78	78	78	80	75	75	67	65	64	65	22	100,000$ / 6 yrs
Scratches
Malcolm Subban	G	100.00	74	82	83	91	72	77	75	78	74	71	75	82	80	42	65	31	900,000$ / 1 yrs

	TEAM AVERAGE	99.67	76	81	82	92	74	78	77	78	77	74	75	78	75	58	65

COACH	PH	DF	OF	PD	EX	LD	PO	Country	Age	Contract	Salary
Craig MacTavish	69	72	74	73	94	92	66	CAN	64	1	200,000$

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%	FOT	GA	EG	P/20	PSG	PSS
1	Brendan Gaunce	Canucks (VAN)	C	71	20	36	56	1	10	0	134	223	76	171	8.97%	8	21.:.18	5	7	12	0	2	2	155	5	2	54.74%	2066	0	0	0.74	0	2
2	Shane Wright	Canucks (VAN)	C	75	21	23	44	0	8	0	77	201	63	136	10.45%	11	17.:.20	0	4	4	0	0	0	0	4	1	51.12%	1569	0	0	0.68	0	0
3	Zac Dalpe	Canucks (VAN)	C/RW	75	20	24	44	-10	18	0	124	221	52	148	9.05%	12	23.:.54	4	6	10	0	0	0	66	5	2	47.52%	505	0	1	0.49	0	2
4	Ryan Johnson	Canucks (VAN)	D	75	17	24	41	-11	24	0	91	113	33	77	15.04%	98	22.:.01	9	2	11	1	1	2	128	3	1	0.00%	0	0	0	0.50	0	0
5	John Hayden	Canucks (VAN)	C	75	16	20	36	-5	46	0	177	169	53	128	9.47%	16	15.:.05	0	3	3	0	0	0	40	2	1	53.15%	1302	0	0	0.64	2	2
6	Marian Studenic	Canucks (VAN)	LW	61	14	22	36	6	14	0	61	187	52	114	7.49%	12	22.:.42	3	4	7	0	0	0	112	0	4	47.37%	95	0	0	0.52	1	1
7	Jacob Perreault	Canucks (VAN)	RW	74	3	23	26	0	8	0	70	115	39	108	2.61%	5	18.:.06	0	6	6	0	0	0	0	0	0	39.77%	88	0	0	0.39	0	0
8	Santeri Hatakka	Canucks	D	42	7	19	26	-1	12	0	80	55	19	37	12.73%	54	24.:.12	4	6	10	0	0	0	67	2	0	0.00%	0	0	0	0.51	0	0
9	Calle Rosen	Canucks (VAN)	D	69	6	18	24	0	29	5	82	76	24	44	7.89%	95	21.:.34	2	5	7	1	0	1	122	0	0	0.00%	0	0	0	0.32	0	0
10	Joe Hicketts	Canucks (VAN)	D	75	4	20	24	-1	12	0	63	45	15	27	8.89%	79	17.:.29	0	5	5	0	0	0	87	0	0	0.00%	0	0	0	0.37	0	0
11	Alexander Alexeyev	Canucks (VAN)	D	54	8	15	23	-8	22	0	73	71	24	55	11.27%	62	23.:.57	2	6	8	0	1	1	93	3	0	0.00%	0	0	0	0.36	0	0
12	Cross Hanas	Canucks (VAN)	C/LW/RW	50	9	12	21	-2	14	0	32	100	18	74	9.00%	6	14.:.25	0	0	0	0	0	0	11	2	0	31.71%	41	0	0	0.58	0	0
13	Ben McCartney	Canucks (VAN)	LW	47	6	14	20	1	26	0	151	92	26	58	6.52%	6	21.:.31	0	4	4	0	0	0	53	0	0	41.67%	72	0	0	0.40	0	0
14	Logan Shaw	Canucks (VAN)	RW	26	8	10	18	7	11	5	15	88	23	66	9.09%	5	20.:.04	0	1	1	0	0	0	11	2	0	36.36%	44	0	0	0.69	1	1
15	Kyle Criscuolo	Canucks (VAN)	C	75	8	9	17	0	4	0	35	73	16	51	10.96%	3	07.:.14	1	2	3	0	0	0	45	4	0	50.81%	496	0	0	0.63	0	0
16	Chris Harpur	Canucks (VAN)	D	55	5	9	14	-1	42	0	139	34	8	17	14.71%	63	17.:.16	0	0	0	0	0	0	46	2	0	0.00%	0	0	0	0.29	0	0
17	Tyler Boucher	Canucks (VAN)	LW/RW	58	2	11	13	1	10	0	27	68	24	50	2.94%	7	13.:.28	0	0	0	0	0	0	0	0	0	50.00%	44	0	0	0.33	0	0
18	Logan Day	Canucks (VAN)	D	43	3	6	9	3	16	0	46	14	7	7	21.43%	35	12.:.54	1	0	1	0	0	0	13	0	1	0.00%	0	0	0	0.32	0	0
19	Lassi Thomson	Canucks (VAN)	D	33	3	6	9	3	8	0	35	13	9	13	23.08%	31	14.:.30	0	1	1	0	0	0	12	0	0	0.00%	0	0	0	0.38	0	0
20	Zach Sanford	Canucks	LW	26	1	5	6	-14	4	0	19	72	18	50	1.39%	7	24.:.47	1	2	3	0	0	0	56	1	0	42.86%	49	0	0	0.19	1	2
21	Ryan Jones	Canucks (VAN)	D	21	1	5	6	4	4	0	9	13	3	5	7.69%	18	10.:.00	0	0	0	0	0	0	0	1	0	0.00%	0	0	0	0.57	0	0
22	Bogdan Trineyev	Canucks (VAN)	LW	15	2	2	4	0	4	0	14	26	3	16	7.69%	1	21.:.35	1	0	1	0	0	0	8	0	0	48.28%	29	0	0	0.25	0	0
23	Luke Henman	Canucks (VAN)	C	24	1	1	2	0	0	0	9	7	1	1	14.29%	0	04.:.00	0	0	0	0	0	0	0	0	1	40.00%	10	0	0	0.42	0	0
24	Mikhail Abramov	Canucks (VAN)	C	21	0	1	1	2	0	0	1	3	0	1	0.00%	1	01.:.00	0	0	0	0	0	0	0	0	0	100.00%	2	0	0	0.94	0	0
25	Travis Howe	Canucks (VAN)	D	17	1	0	1	5	4	0	5	3	2	3	33.33%	2	04.:.48	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.24	0	0
26	Dmitri Ovchinnikov	Canucks (VAN)	C	34	0	0	0	0	0	0	3	2	0	1	0.00%	0	00.:.25	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0
Team Total or Average				1223	178	311	489	-5	334	10	1473	1957	571	1371	9.10%	576	16:46	28	56	84	1279	2	4	6	1012	33	13	51.83%	6363	0	0.48	1	4

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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Pheonix Copley	Canucks (VAN)	34	15	13	4	90.9%	2.78	1940	2	1	90	984	0	1	80.0%	5	32	23	2	2	2
2	Yaroslav Askarov	Canucks (VAN)	27	12	10	4	92.2%	2.30	1540	0	3	59	752	0	0	0.0%	0	25	33	6	2	1
3	Malcolm Subban	Canucks (VAN)	19	11	5	1	91.9%	2.51	1051	0	3	44	540	1	0	60.0%	5	18	19	3	0	1
Team Total or Average			80	38	28	9	0.915	2.56	4532	2	7	193	2276	1	1	70.0%	10	75	75	11	4	4

Lines

Forward Lines
Marian Studenic	Brendan Gaunce	Logan Shaw
Bogdan Trineyev	Shane Wright	Zac Dalpe
Cross Hanas	John Hayden	Jacob Perreault
Tyler Boucher	Kyle Criscuolo	Logan Shaw

Defensive Pairings
Chris Harpur	Ryan Johnson
Alexander Alexeyev	Joe Hicketts
Lassi Thomson	Logan Day

1st Power Play Unit
Marian Studenic		Brendan Gaunce		Logan Shaw
Chris Harpur			Ryan Johnson

2nd Power Play Unit
Bogdan Trineyev		Shane Wright		Zac Dalpe
Alexander Alexeyev			Joe Hicketts

Goalies
Pheonix Copley		Yaroslav Askarov

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	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	GF%	SH%	SV%	PDO	PDOBRK
1	Penguins	2	1	0	1	0	0	5	3	2	4	1.000	5	10	15	0	0	64	64	55	10	44	724	701	643	45	52	17	10	50	6	1	16.67%	5	1	80.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	66.7%	11.4%	94.2%	105.6	LUCKY
2	Islanders	2	1	1	0	0	0	4	4	0	2	0.500	4	8	12	0	0	64	64	55	10	57	724	701	643	45	60	17	6	49	3	1	33.33%	3	1	66.67%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	50.0%	7.0%	93.3%	100.4	DULL
3	Wolf Pack	2	1	1	0	0	0	6	7	-1	2	0.500	6	12	18	0	0	64	64	55	10	39	724	701	643	45	52	10	6	40	2	1	50.00%	3	0	100.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	41.7%	15.4%	86.5%	101.9	FUN
4	Comets	2	2	0	0	0	0	9	6	3	4	1.000	9	17	26	0	0	64	64	55	10	73	724	701	643	45	65	24	10	36	3	2	66.67%	5	1	80.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	58.3%	12.3%	90.8%	103.1	FUN
5	Phantoms	2	1	1	0	0	0	6	7	-1	2	0.500	6	12	18	0	0	64	64	55	10	53	724	701	643	45	59	17	10	40	7	0	0.00%	5	0	100.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	46.2%	11.3%	88.1%	99.5	FUN
6	Wolves	2	1	0	0	1	0	5	3	2	3	0.750	5	9	14	0	0	64	64	55	10	39	724	701	643	45	58	17	10	51	1	0	0.00%	4	0	100.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	62.5%	12.8%	94.8%	107.6	LUCKY
7	Crunch	2	1	1	0	0	0	5	3	2	2	0.500	5	7	12	0	1	64	64	55	10	57	724	701	643	45	61	17	8	49	3	2	66.67%	4	1	75.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	60.0%	8.8%	95.1%	103.9	DULL
8	Moose	3	2	1	0	0	0	5	6	-1	4	0.667	5	8	13	0	1	64	64	55	10	84	724	701	643	45	98	24	14	75	4	1	25.00%	7	2	71.43%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	50.0%	6.0%	93.9%	99.8	DULL
9	Bears	2	2	0	0	0	0	6	4	2	4	1.000	6	12	18	0	0	64	64	55	10	61	724	701	643	45	68	12	6	39	5	2	40.00%	3	1	66.67%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	57.1%	9.8%	94.1%	104.0	LUCKY
10	Checkers	2	1	0	0	1	0	10	8	2	3	0.750	10	18	28	0	0	64	64	55	10	59	724	701	643	45	71	15	12	38	6	2	33.33%	6	2	66.67%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	57.1%	16.9%	88.7%	105.7	FUN
11	Bruins	2	1	1	0	0	0	6	8	-2	2	0.500	6	11	17	0	0	64	64	55	10	69	724	701	643	45	57	14	4	48	9	2	22.22%	2	2	0.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	40.0%	8.7%	86.0%	94.7	Unlucky
12	Senators	2	0	1	0	1	0	5	7	-2	1	0.250	5	8	13	0	0	64	64	55	10	71	724	701	643	45	79	15	14	39	8	1	12.50%	6	0	100.00%	1	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	36.4%	7.0%	91.1%	98.2	Unlucky
13	Rocket	2	1	0	0	0	1	6	3	3	4	1.000	6	7	13	0	0	64	64	55	10	68	724	701	643	45	58	9	8	44	4	0	0.00%	4	2	50.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	85.7%	8.8%	94.8%	103.7	DULL
14	Americans	2	0	1	0	1	0	4	6	-2	1	0.250	4	7	11	0	0	64	64	55	10	47	724	701	643	45	57	22	9	41	4	1	25.00%	2	1	50.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	37.5%	8.5%	89.5%	98.0	Unlucky
15	Marlies	2	1	1	0	0	0	4	6	-2	2	0.500	4	8	12	0	0	64	64	55	10	59	724	701	643	45	53	19	14	34	3	1	33.33%	7	3	57.14%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	50.0%	6.8%	88.7%	95.5	Unlucky
16	Thunderbirds	3	1	2	0	0	0	8	10	-2	2	0.333	8	15	23	0	0	64	64	55	10	86	724	701	643	45	105	37	16	68	5	1	20.00%	8	0	100.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	41.2%	9.3%	90.5%	99.8	FUN
17	Griffins	2	0	2	0	0	0	7	11	-4	0	0.000	7	12	19	0	0	64	64	55	10	60	724	701	643	45	78	21	12	42	7	2	28.57%	5	2	60.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	35.7%	11.7%	85.9%	97.6	FUN
18	IceHogs	3	3	0	0	0	0	11	2	9	6	1.000	11	19	30	0	1	64	64	55	10	86	724	701	643	45	79	12	8	57	3	2	66.67%	3	1	66.67%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	90.0%	12.8%	97.5%	110.3	LUCKY
19	Monsters	2	1	1	0	0	0	7	5	2	2	0.500	7	12	19	0	0	64	64	55	10	65	724	701	643	45	65	21	16	33	2	1	50.00%	7	1	85.71%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	60.0%	10.8%	92.3%	103.1	LUCKY
20	Admirals	3	0	2	0	1	0	3	12	-9	1	0.167	3	6	9	0	0	64	64	55	10	63	724	701	643	45	112	36	18	61	6	1	16.67%	9	3	66.67%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	18.2%	4.8%	89.3%	94.0	Unlucky
21	Wild	2	1	1	0	0	0	3	2	1	2	0.500	3	5	8	0	1	64	64	55	10	59	724	701	643	45	68	21	14	43	7	2	28.57%	7	0	100.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	33.3%	5.1%	97.1%	102.1	DULL
22	Condors	3	2	1	0	0	0	6	5	1	4	0.667	6	11	17	0	0	64	64	55	10	68	724	701	643	45	81	23	14	56	3	0	0.00%	6	1	83.33%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	60.0%	8.8%	93.8%	102.7	DULL
23	Wranglers	4	2	0	2	0	0	13	9	4	8	1.000	13	24	37	0	0	64	64	55	10	116	724	701	643	45	111	24	24	85	9	1	11.11%	12	2	83.33%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	63.2%	11.2%	91.9%	103.1	LUCKY
24	Eagles	2	0	2	0	0	0	4	7	-3	0	0.000	4	8	12	1	0	64	64	55	10	58	724	701	643	45	43	23	8	40	5	0	0.00%	3	0	100.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	36.4%	6.9%	83.7%	90.6	Unlucky
25	Reign	3	1	1	0	1	0	5	7	-2	3	0.500	5	8	13	0	0	64	64	55	10	87	724	701	643	45	87	19	12	64	5	2	40.00%	6	0	100.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	30.0%	5.7%	92.0%	97.7	DULL
26	Roadrunners	3	1	1	0	1	0	7	8	-1	3	0.500	7	13	20	0	0	64	64	55	10	95	724	701	643	45	82	28	4	53	11	3	27.27%	2	0	100.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	33.3%	7.4%	90.2%	97.6	Unlucky
27	Stars	2	1	1	0	0	0	2	5	-3	2	0.500	2	4	6	0	1	64	64	55	10	51	724	701	643	45	61	19	13	36	4	0	0.00%	4	1	75.00%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	33.3%	3.9%	91.8%	95.7	DULL
28	Gulls	3	1	1	0	0	1	6	3	3	4	0.667	6	10	16	0	1	64	64	55	10	92	724	701	643	45	76	26	16	66	8	0	0.00%	8	1	87.50%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	75.0%	6.5%	96.1%	102.6	DULL
29	Barracuda	3	0	1	1	1	0	7	8	-1	3	0.500	7	12	19	0	0	64	64	55	10	70	724	701	643	45	91	32	12	70	4	1	25.00%	6	2	66.67%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	50.0%	10.0%	91.2%	101.2	LUCKY
30	Firebirds	4	1	2	0	1	0	8	11	-3	3	0.375	8	14	22	0	1	64	64	55	10	110	724	701	643	45	123	30	18	77	12	1	8.33%	8	3	62.50%	0	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	46.7%	7.3%	91.1%	98.3	Unlucky
31	Silver Knights	2	0	1	1	0	0	7	8	-1	2	0.500	7	11	18	0	0	64	64	55	10	57	724	701	643	45	67	16	10	56	5	1	20.00%	5	1	80.00%	1	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	46.2%	12.3%	88.1%	100.3	FUN
	_Vs Division	22	7	7	4	3	1	52	51	1	27	0.614	52	90	142	0	2	64	64	55	10	600	724	701	643	45	636	170	106	474	46	6	13.04%	51	10	80.39%	1	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	52.9%	8.7%	92.0%	100.6	DULL
	_Vs Conference	43	16	17	4	5	1	95	103	-8	47	0.547	95	168	263	1	6	64	64	55	10	1182	724	701	643	45	1284	370	201	907	91	16	17.58%	94	17	81.91%	1	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	47.9%	8.0%	92.0%	100.0	DULL
	_Since Last GM Reset	75	31	28	5	9	2	190	194	-4	85	0.567	190	338	528	1	7	64	64	55	10	2103	724	701	643	45	2277	637	356	1580	164	35	21.34%	165	35	78.79%	2	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	49.4%	9.0%	91.5%	100.5	LUCKY
	Total	75	31	28	5	9	2	190	194	-4	85	0.567	190	338	528	1	7	64	64	55	10	2103	724	701	643	45	2277	637	356	1580	164	35	21.34%	165	35	78.79%	2	1321	2491	53.03%	1417	2721	52.08%	600	1179	50.89%	1713	1102	1737	621	1088	543	49.4%	9.0%	91.5%	100.5	LUCKY

	Puck Time
Offensive Zone	22
Neutral Zone	14
Defensive Zone	23

	Puck Time
Offensive Zone Start	2491
Neutral Zone Start	1179
Defensive Zone Start	2721

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	3338
Faceoffs Lost	3053

	Team Average Shots after	League Average Shots after
1st Period	9.7	9.57
2nd Period	19.0	20.31
3rd Period	27.6	30.68
Overtime	28.2	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.9	0.64
2nd Period	1.7	1.65
3rd Period	2.4	2.67
Overtime	2.6	2.83


Even Strenght Goal	152
PP Goal	35
PK Goal	2
Empty Net Goal	1

	Home	Away
Win	20	18
Lost	13	15
Overtime Lost	3	6


PP Attempt	164
PP Goal	35
PK Attempt	165
PK Goal Against	35

	Home
Shots For	28.0
Shots Against	30.4
Goals For	2.5
Goals Against	2.6
Hits	21.1
Shots Blocked	8.5
Pim	4.7

Schedule

Date	Matchup			Result	Detail
Wed, Oct 9	CGW	@	ABB	CGW3,ABB4 (OT)	RECAP
Fri, Oct 11	LVP	@	ABB	LVP2,ABB4	RECAP
Tue, Oct 15	ABB	@	SYR	ABB2,SYR3	RECAP
Thu, Oct 17	ABB	@	CHA	ABB5,CHA6 (OT)	RECAP
Sat, Oct 19	ABB	@	LVP	ABB2,LVP5	RECAP
Tue, Oct 22	ABB	@	RFD	ABB3,RFD1	RECAP
Sat, Oct 26	WIL	@	ABB	WIL2,ABB3	RECAP
Mon, Oct 28	CHW	@	ABB	CHW2,ABB1 (OT)	RECAP
Wed, Oct 30	UTI	@	ABB	UTI4,ABB5	RECAP
Sat, Nov 2	ABB	@	SJB	ABB1,SJB2 (OT)	RECAP
Tue, Nov 5	ABB	@	SDG	ABB3,SDG0	RECAP
Thu, Nov 7	ABB	@	ONT	ABB1,ONT2 (OT)	RECAP
Sat, Nov 9	BKS	@	ABB	BKS1,ABB2	RECAP
Tue, Nov 12	CGW	@	ABB	CGW1,ABB2 (OT)	RECAP
Thu, Nov 14	BRI	@	ABB	BRI2,ABB3	RECAP
Sat, Nov 16	RFD	@	ABB	RFD1,ABB4	RECAP
Sun, Nov 17	MIL	@	ABB	MIL5,ABB0	RECAP
Tue, Nov 19	HWP	@	ABB	HWP2,ABB4	RECAP
Sat, Nov 23	ABB	@	BEL	ABB1,BEL2	RECAP
Tue, Nov 26	ABB	@	PVD	ABB4,PVD2	RECAP
Wed, Nov 27	ABB	@	WIL	ABB2,WIL1 (OT)	RECAP
Fri, Nov 29	ABB	@	ROC	ABB1,ROC2 (OT)	RECAP
Sun, Dec 1	ABB	@	GRG	ABB4,GRG7	RECAP
Tue, Dec 3	ABB	@	IOW	ABB1,IOW2	RECAP
Fri, Dec 6	CLV	@	ABB	CLV2,ABB5	RECAP
Sun, Dec 8	SYR	@	ABB	SYR0,ABB3	RECAP
Tue, Dec 10	SPR	@	ABB	SPR3,ABB0	RECAP
Thu, Dec 12	CHA	@	ABB	CHA2,ABB5	RECAP
Sat, Dec 14	PVD	@	ABB	PVD6,ABB2	RECAP
Mon, Dec 16	COE	@	ABB	COE3,ABB2	RECAP
Wed, Dec 18	ABB	@	TUC	ABB1,TUC2 (OT)	RECAP
Thu, Dec 19	ABB	@	HSK	ABB3,HSK5	RECAP
Sat, Dec 21	BEL	@	ABB	BEL5,ABB4 (OT)	RECAP
Mon, Dec 23	SJB	@	ABB	SJB4,ABB3	RECAP
Sat, Dec 28	CVF	@	ABB	CVF3,ABB2 (OT)	RECAP
Tue, Dec 31	ABB	@	CGW	ABB3,CGW2	RECAP
Thu, Jan 2	ABB	@	CVF	ABB2,CVF0	RECAP
Fri, Jan 3	MIL	@	ABB	MIL3,ABB0	RECAP
Mon, Jan 6	ABB	@	LAV	ABB3,LAV2 (SO)	RECAP
Wed, Jan 8	ABB	@	HER	ABB3,HER2	RECAP
Fri, Jan 10	ABB	@	CHW	ABB4,CHW1	RECAP
Sat, Jan 11	ABB	@	TOM	ABB3,TOM2	RECAP
Tue, Jan 14	ABB	@	MAN	ABB1,MAN4	RECAP
Thu, Jan 16	ONT	@	ABB	ONT2,ABB3	RECAP
Sat, Jan 18	BKS	@	ABB	BKS1,ABB3	RECAP
Tue, Jan 21	ROC	@	ABB	ROC4,ABB3	RECAP
Thu, Jan 23	ABB	@	BKS	ABB1,BKS3	RECAP
Sat, Jan 25	HER	@	ABB	HER2,ABB3	RECAP
Mon, Jan 27	ABB	@	SPR	ABB5,SPR3	RECAP
Wed, Jan 29	ABB	@	MIL	ABB3,MIL4 (OT)	RECAP
Fri, Jan 31	ABB	@	TEX	ABB0,TEX5	RECAP
Sun, Feb 2	GRG	@	ABB	GRG4,ABB3	RECAP
Tue, Feb 4	COE	@	ABB	COE4,ABB2	RECAP
Thu, Feb 6	ABB	@	SJB	ABB3,SJB2 (OT)	RECAP
Sat, Feb 8	TOM	@	ABB	TOM4,ABB1	RECAP
Sat, Feb 22	ABB	@	HSK	ABB4,HSK3 (OT)	RECAP
Sun, Feb 23	ABB	@	TUC	ABB4,TUC3	RECAP
Wed, Feb 26	ABB	@	ONT	ABB1,ONT3	RECAP
Thu, Feb 27	ABB	@	SDG	ABB2,SDG1 (SO)	RECAP
Sat, Mar 1	ABB	@	CVF	ABB2,CVF5	RECAP
Wed, Mar 5	SDG	@	ABB	SDG2,ABB1	RECAP
Fri, Mar 7	IOW	@	ABB	IOW0,ABB2	RECAP
Sun, Mar 9	TEX	@	ABB	TEX0,ABB2	RECAP
Trade Deadline --- Trades can not be done after this day is simulated!
Tue, Mar 11	LAV	@	ABB	LAV1,ABB3	RECAP
Wed, Mar 12	ABB	@	CGW	ABB4,CGW3	RECAP
Sat, Mar 15	RFD	@	ABB	RFD0,ABB4	RECAP
Sun, Mar 16	TUC	@	ABB	TUC3,ABB2	RECAP
Tue, Mar 18	MAN	@	ABB	MAN0,ABB1	RECAP
Thu, Mar 20	ABB	@	SPR	ABB3,SPR4	RECAP
Sat, Mar 22	ABB	@	HWP	ABB2,HWP5	RECAP
Mon, Mar 24	ABB	@	UTI	ABB4,UTI2	RECAP
Wed, Mar 26	ABB	@	BRI	ABB1,BRI2	RECAP
Fri, Mar 28	ABB	@	CLV	ABB2,CLV3	RECAP
Sun, Mar 30	ABB	@	MAN	ABB3,MAN2	RECAP
Wed, Apr 2	CVF	@	ABB	CVF3,ABB2	RECAP
Sat, Apr 5	SDG	@	ABB
Sun, Apr 6	HSK	@	ABB
Tue, Apr 8	ABB	@	TEX
Thu, Apr 10	ABB	@	COE
Sat, Apr 12	IOW	@	ABB
Mon, Apr 14	SJB	@	ABB
Wed, Apr 16	HSK	@	ABB

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

Canucks38-28-9, 85pts

32Final

Moose37-31-8, 82pts

Firebirds42-27-7, 91pts

32Final

Canucks38-28-9, 85pts

Gulls26-43-6, 58pts

Sat, Apr 05

Canucks38-28-9, 85pts

Silver Knights40-22-13, 93pts

Sun, Apr 06

Canucks38-28-9, 85pts

Tue, Apr 08

Stars34-33-8, 76pts

Team Leaders

	GOALS Brendan Gaunce 20			ASSISTS Brendan Gaunce 36
	POINTS Brendan Gaunce 56			DEFENSEMAN Ryan Johnson 41
	PIM John Hayden 46			PLUS/MINUS Logan Shaw 7
	WINS Pheonix Copley 15			SV% Yaroslav Askarov 92.2%

Team Info


	Head Coach	Craig MacTavish
	Conference	Western Conference
	Division	Pacific Division
	Stadium Capacity	3,000

Player to Watch


Point Streak Brendan Gaunce Canucks (VAN)	0 Game(s) 3G-9A-12P This Month

Canucks Affiliation


	NHL Team	Vancouver Canucks
	Head Coach	Lane Lambert
	Stadium	Rogers Arena
	Capacity	18,910

Roster Info


	Farm Team	28
	Pro Team	22/25
	Contract Limit	50/55
	Prospects & Player's Rights	31

Nationalities


	CAN	11
	USA	9
	RUS	5
	FIN	1
	SWE	1
	SVK	1

Team Stats

Goals For 190 2.53 GFG	Goals Against 194 2.59 GAA
Power Play Percentage 21.3% 35 GF	Penalty Kill Percentage 78.8% 35 GA