Canadian Hockey League

Canucks
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Game Center
	Wolves 44-13-4, 92pts	5	FINAL	4	IceBears 31-21-6, 68pts

Team Stats
W1	Streak	OTL1
20-6-3	Home Record	16-10-3
24-7-1	Away Record	15-11-3
10-0-0	Last 10 Games	5-4-1
3.46	Goals Per Game	3.74
2.39	Goals Against Per Game	3.86
13.78%	Power Play Percentage	19.35%
90.24%	Penalty Kill Percentage	75.93%

Sagueneens
20-34-4, 44pts

FINAL

Wolves
44-13-4, 92pts

Team Stats
L1	Streak	W1
11-17-1	Home Record	20-6-3
9-17-3	Away Record	24-7-1
3-7-0	Last 10 Games	10-0-0
2.38	Goals Per Game	3.46
3.19	Goals Against Per Game	2.39
13.66%	Power Play Percentage	13.78%
90.16%	Penalty Kill Percentage	90.24%

Wolves
44-13-4, 92pts

Day 129

Magics
22-26-12, 56pts

Team Stats
W1	Streak	L1
20-6-3	Home Record	14-11-3
24-7-1	Away Record	8-15-9
10-0-0	Last 10 Games	3-5-2
3.46	Goals Per Game	2.90
2.39	Goals Against Per Game	3.40
13.78%	Power Play Percentage	12.83%
90.24%	Penalty Kill Percentage	80.23%

Eagles
32-20-5, 69pts

Day 130

Wolves
44-13-4, 92pts

Team Stats
SOW1	Streak	W1
16-10-3	Home Record	20-6-3
16-10-2	Away Record	24-7-1
4-4-2	Last 10 Games	10-0-0
2.81	Goals Per Game	3.46
2.72	Goals Against Per Game	2.39
17.00%	Power Play Percentage	13.78%
82.00%	Penalty Kill Percentage	90.24%

IceHogs
34-19-5, 73pts

Day 133

Wolves
44-13-4, 92pts

Team Stats
OTW1	Streak	W1
17-9-3	Home Record	20-6-3
17-10-2	Away Record	24-7-1
7-3-0	Last 10 Games	10-0-0
4.02	Goals Per Game	3.46
3.57	Goals Against Per Game	2.39
19.58%	Power Play Percentage	13.78%
82.76%	Penalty Kill Percentage	90.24%

Team Leaders
	Goals Bradly Nadeau 45	Assists Isaiah George 47

	Points Bradly Nadeau 88	Plus/Minus Bradly Nadeau 37

	Wins Samuel Ersson 19	Save Percentage Samuel Ersson 0.915

Team Stats
Goals For 211 3.46 GFG	Shots For 1670 27.38 Avg	Power Play Percentage 13.8% 39 GF	Offensive Zone Start 41.4%
Goals Against 146 2.39 GAA	Shots Against 1389 22.77 Avg	Penalty Kill Percentage 90.2% 20 GA	Defensive Zone Start 38.2%

Team Info
	General Manager	Jonathan Lee
	Coach	David Quinn
	Division	North
	Conference	Eastern
	Captain	Alex Newhook
	Assistant #1	Peyton Krebs
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	20
	Contract Limit	44 / 50
	Prospects	98
Team History
	This Season	44-13-4 (92PTS)
	History	976-445-143 (0.624%)
	Playoff Appearances	17
	Playoff Record (W-L)	135-97
	Stanley Cup	2

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	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	Cody Glass	X				100.00	59	52	85	78	68	77	87	59	86	60	58	76	99	74	76	65	51	66	0	26	1	1,331,000$
2	Peyton Krebs (A)	X				100.00	79	55	75	81	54	78	98	59	84	58	60	67	40	70	74	75	76	65	0	24	1	1,017,500$
3	Alex Newhook (C)	X				100.00	65	47	84	80	59	80	99	58	78	51	65	63	40	70	75	75	75	64	0	24	1	2,000,000$
4	Sam Colangelo (R)			X		100.00	89	53	89	78	71	75	65	60	40	45	76	60	40	70	73	75	81	64	0	24	1	575,000$
5	Ryan Suzuki	X				100.00	63	67	82	81	58	78	68	60	70	70	44	50	99	70	74	75	78	62	0	24	1	1,119,250$
6	Adam Edstrom	X				100.00	83	70	79	75	96	70	78	52	40	46	58	65	40	72	71	70	76	62	0	25	1	632,500$
7	Bradly Nadeau (R)		X			100.00	50	43	79	93	45	73	63	62	40	53	70	50	99	62	68	95	78	62	0	20	3	925,000$
8	Jake Wise		X			100.00	49	44	84	78	52	65	55	51	40	48	53	70	40	72	69	70	78	58	0	25	1	632,500$
9	Otto Stenberg (R)		X			100.00	54	41	88	90	49	60	50	43	40	46	41	65	40	62	61	95	43	55	0	20	3	925,000$
10	Samuel Honzek (R)		X			100.00	72	52	83	81	67	61	51	42	40	41	43	63	40	64	63	90	43	55	0	21	3	925,000$
11	Jacob Melanson		X			100.00	67	68	67	75	67	60	50	38	40	30	46	57	40	66	63	85	21	51	0	22	1	632,500$
12	Ville Ottavainen				X	100.00	69	58	78	75	84	72	67	35	40	34	35	67	40	68	70	80	81	62	0	23	1	632,500$
13	Isaiah George (R)				X	100.00	50	48	86	76	61	76	66	52	40	50	54	66	40	64	70	90	78	62	0	21	1	575,000$
14	William Villeneuve				X	100.00	42	40	75	78	57	59	54	56	40	70	39	70	40	68	64	80	78	61	0	23	1	925,000$
15	Domenick Fensore				X	100.00	46	52	78	77	43	71	66	47	40	48	47	70	40	70	71	75	78	60	0	24	1	632,500$
16	Maksymilian Szuber				X	100.00	54	38	76	75	68	69	64	47	40	52	43	57	40	68	69	80	78	59	0	23	1	632,500$
17	Jack Matier				X	100.00	63	50	82	75	76	55	50	33	40	32	33	65	40	66	61	85	30	57	0	22	1	632,500$
18	William Wallinder				X	100.00	56	40	87	75	72	66	61	38	40	42	34	56	40	68	67	80	75	57	0	23	1	632,500$
Scratches
1	Julian Lutz (R)		X			100.00	66	48	85	84	61	60	50	36	40	39	33	53	40	64	62	90	19	51	0	21	1	575,000$
2	Paul Ludwinski (R)		X			100.00	59	47	81	87	54	74	64	33	40	26	39	54	40	64	69	90	20	51	0	21	1	575,000$
3	Jamieson Rees		X			100.00	55	61	85	75	50	60	50	39	40	40	38	53	40	70	65	75	20	50	0	24	1	1,119,250$

	TEAM AVERAGE					100.00	61	51	81	79	62	69	65	48	48	47	48	62	48	68	68	81	60	59

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Samuel Ersson	100.00	87	87	90	90	72	73	72	74	72	69	99	74	74	65	64	75	0	26	3	1,500,000$
2	Dylan Garand	100.00	77	68	73	81	61	60	62	61	61	61	87	68	64	80	66	65	0	23	1	925,000$
Scratches
1	Nikke Kokko (R)	100.00	75	60	63	88	58	56	57	60	55	56	91	64	60	90	20	61	0	21	1	575,000$

	TEAM AVERAGE	100.00	80	72	75	86	64	63	64	65	63	62	92	69	66	78	50	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
David Quinn	42	69	55	67	94	75	52	USA	59	4	1,000,000$

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	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	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Bradly Nadeau	Wolves (Van)	LW	61	45	43	88	37	2	0	9	157	227	66	169	19.82%	7	1268	20.79	5	10	15	39	245	0	0	0	1	16	9	6	43.84%	73	2	1.39	0	0	0	0	0	15	9	5
2	Sam Colangelo	Wolves (Van)	RW	61	31	35	66	37	72	10	222	112	269	78	203	11.52%	7	1305	21.40	8	5	13	69	245	1	0	1	2	65	8	1	39.53%	86	1	1.01	0	1	1	0	1	8	7	8
3	Isaiah George	Wolves (Van)	D	61	9	47	56	32	22	0	54	76	117	38	70	7.69%	79	1415	23.21	5	8	13	69	255	0	1	1	1	170	1	2	0.00%	0	0	0.79	0	0	0	0	0	0	9	4
4	Alex Newhook	Wolves (Van)	C	61	27	28	55	8	25	5	92	163	184	49	144	14.67%	5	1328	21.79	5	9	14	39	215	0	1	1	1	75	4	1	57.43%	686	1	0.83	3	6	0	1	0	8	2	3
5	Peyton Krebs	Wolves (Van)	C	61	27	22	49	3	76	10	180	202	196	51	151	13.78%	9	1415	23.20	4	6	10	34	212	0	0	0	3	154	6	1	60.65%	920	0	0.69	3	7	0	0	2	8	6	4
6	Cody Glass	Wolves (Van)	C	28	12	24	36	17	8	0	15	114	95	21	55	12.63%	9	709	25.33	3	4	7	18	97	0	0	0	0	74	3	2	62.62%	749	1	1.02	2	3	0	0	0	4	4	2
7	William Villeneuve	Wolves (Van)	D	61	4	28	32	4	16	0	66	79	35	6	14	11.43%	44	945	15.51	2	4	6	23	113	0	0	0	0	71	0	2	0.00%	0	0	0.68	0	0	0	0	0	0	1	6
8	Domenick Fensore	Wolves (Van)	D	61	3	25	28	17	30	0	67	61	51	29	37	5.88%	38	1166	19.13	0	7	7	26	206	0	0	0	1	135	0	0	0.00%	0	0	0.48	0	0	0	0	0	0	2	0
9	Sean Farrell	Canucks	LW	51	7	17	24	-2	2	0	0	75	69	22	69	10.14%	3	614	12.05	3	9	12	21	177	0	0	0	0	5	0	0	30.77%	39	0	0.78	0	0	0	0	0	0	0	3
10	Adam Edstrom	Wolves (Van)	C	61	8	13	21	1	28	10	80	85	92	25	75	8.70%	9	672	11.03	1	0	1	4	10	0	0	0	0	0	2	0	45.92%	638	0	0.62	0	0	0	1	1	1	2	4
11	Jake Wise	Wolves (Van)	LW	61	9	11	20	6	10	0	27	90	84	23	54	10.71%	12	646	10.60	0	0	0	0	0	0	0	0	0	62	2	0	36.73%	49	0	0.62	0	0	0	0	0	1	2	1
12	Ville Ottavainen	Wolves (Van)	D	61	4	9	13	6	76	10	202	35	42	17	19	9.52%	39	1232	20.21	1	2	3	14	220	0	0	0	1	123	2	1	0.00%	0	0	0.21	0	0	1	0	1	0	2	2
13	Ryan Suzuki	Wolves (Van)	C	61	5	7	12	3	8	0	17	33	30	6	19	16.67%	0	368	6.03	1	2	3	4	56	0	0	0	0	2	2	0	55.33%	150	0	0.65	0	0	0	0	0	0	2	1
14	Maksymilian Szuber	Wolves (Van)	D	61	0	11	11	-3	41	5	100	28	15	4	7	0.00%	34	842	13.81	0	0	0	1	17	0	0	0	0	55	0	0	0.00%	0	0	0.26	0	0	0	0	0	1	0	1
15	Samuel Honzek	Wolves (Van)	LW	43	2	7	9	-6	14	0	16	31	37	8	16	5.41%	6	486	11.30	0	0	0	0	0	0	0	0	0	0	0	0	38.89%	18	0	0.37	0	0	0	0	0	1	0	0
16	William Wallinder	Wolves (Van)	D	61	1	7	8	0	33	5	72	8	5	4	6	20.00%	34	696	11.41	0	0	0	1	9	0	0	0	0	37	0	0	0.00%	0	0	0.23	0	0	0	1	0	0	1	0
17	Jacob Melanson	Wolves (Van)	LW	4	0	0	0	1	0	0	2	2	0	0	0	0.00%	0	16	4.20	0	0	0	0	0	0	0	0	0	9	0	0	33.33%	3	0	0.00	0	0	0	0	0	0	0	0
18	Otto Stenberg	Wolves (Van)	LW	28	0	0	0	-4	0	0	1	4	9	0	4	0.00%	0	73	2.63	0	0	0	1	9	0	0	0	1	3	0	0	23.08%	13	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				947	194	334	528	157	463	55	1222	1355	1557	447	1112	12.46%	335	15205	16.06	38	66	104	363	2094	1	2	3	11	1063	39	16	55.61%	3424	5	0.69	8	17	2	3	5	47	49	44

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	Samuel Ersson	Wolves (Van)	28	19	7	2	0.915	1.91	1694	2	3	54	634	1	1	0.500	10	28	0	3	2	1
2	Nikke Kokko	Wolves (Van)	7	4	3	0	0.872	3.56	405	2	0	24	187	0	0	0.333	3	7	7	0	0	0
Team Total or Average			35	23	10	2	0.905	2.23	2100	4	3	78	821	1	1	0.462	13	35	7	3	2	1

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	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2039	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2040	2041	2042	Link
Adam Edstrom	Wolves (Van)	C	25	2000-10-12	No	241 Lbs	6 ft7	No	No	No	1	Pro & Farm	632,500$	0$	0$	No	RFA			Link / NHL Link
Alex Newhook	Wolves (Van)	C	24	2001-01-28	No	200 Lbs	5 ft11	No	No	No	1	Pro & Farm	2,000,000$	0$	0$	No	RFA			Link / NHL Link
Bradly Nadeau	Wolves (Van)	LW	20	2005-05-05	Yes	172 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	Link / NHL Link
Cody Glass	Wolves (Van)	C	26	1999-04-01	No	201 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,331,000$	0$	0$	No	RFA			Link / NHL Link
Domenick Fensore	Wolves (Van)	D	24	2001-09-07	No	175 Lbs	5 ft9	No	No	No	1	Pro & Farm	632,500$	0$	0$	No	RFA			Link / NHL Link
Dylan Garand	Wolves (Van)	G	23	2002-06-07	No	172 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA			Link / NHL Link
Isaiah George	Wolves (Van)	D	21	2004-02-15	Yes	196 Lbs	6 ft1	No	No	No	1	Pro & Farm	575,000$	0$	0$	No	RFA			Link / NHL Link
Jack Matier	Wolves (Van)	D	22	2003-04-08	No	209 Lbs	6 ft5	No	No	No	1	Pro & Farm	632,500$	0$	0$	No	RFA			Link / NHL Link
Jacob Melanson	Wolves (Van)	LW	22	2003-04-22	No	207 Lbs	6 ft1	No	No	No	1	Pro & Farm	632,500$	0$	0$	No	RFA			Link / NHL Link
Jake Wise	Wolves (Van)	LW	25	2000-02-28	No	190 Lbs	5 ft10	No	No	No	1	Pro & Farm	632,500$	0$	0$	No	RFA			Link / NHL Link
Jamieson Rees	Wolves (Van)	LW	24	2001-02-26	No	186 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,119,250$	0$	0$	No	RFA			Link / NHL Link
Julian Lutz	Wolves (Van)	LW	21	2004-02-29	Yes	192 Lbs	6 ft2	No	No	No	1	Pro & Farm	575,000$	0$	0$	No	RFA			Link / NHL Link
Maksymilian Szuber	Wolves (Van)	D	23	2002-08-25	No	201 Lbs	6 ft3	No	No	No	1	Pro & Farm	632,500$	0$	0$	No	RFA			Link / NHL Link
Nikke Kokko	Wolves (Van)	G	21	2004-03-14	Yes	184 Lbs	6 ft3	No	No	No	1	Pro & Farm	575,000$	0$	0$	No	RFA			Link / NHL Link
Otto Stenberg	Wolves (Van)	LW	20	2005-05-29	Yes	180 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	Link / NHL Link
Paul Ludwinski	Wolves (Van)	LW	21	2004-04-23	Yes	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	575,000$	0$	0$	No	RFA			Link / NHL Link
Peyton Krebs	Wolves (Van)	C	24	2001-01-26	No	186 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,017,500$	0$	0$	No	RFA			Link / NHL Link
Ryan Suzuki	Wolves (Van)	C	24	2001-05-28	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,119,250$	0$	0$	No	RFA			Link / NHL Link
Sam Colangelo	Wolves (Van)	RW	24	2001-12-26	Yes	211 Lbs	6 ft2	No	No	No	1	Pro & Farm	575,000$	0$	0$	No	RFA			Link / NHL Link
Samuel Ersson	Wolves (Van)	G	26	1999-10-20	No	176 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	UFA	Link / NHL Link
Samuel Honzek	Wolves (Van)	LW	21	2004-11-12	Yes	195 Lbs	6 ft4	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	Link / NHL Link
Ville Ottavainen	Wolves (Van)	D	23	2002-08-12	No	225 Lbs	6 ft5	No	No	No	1	Pro & Farm	632,500$	0$	0$	No	RFA			Link / NHL Link
William Villeneuve	Wolves (Van)	D	23	2002-03-20	No	183 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA			Link / NHL Link
William Wallinder	Wolves (Van)	D	23	2002-07-28	No	205 Lbs	6 ft4	No	No	No	1	Pro & Farm	632,500$	0$	0$	No	RFA			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	22.92	194 Lbs	6 ft2	1.33	860,292$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Bradly Nadeau	Cody Glass	Sam Colangelo	40	1	2	2
2		Peyton Krebs	Alex Newhook	30	1	2	2
3	Jake Wise	Alex Newhook	Cody Glass	20	1	2	2
4	Samuel Honzek	Adam Edstrom	Peyton Krebs	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Isaiah George	Ville Ottavainen	40	1	2	2
2	William Villeneuve	Domenick Fensore	30	1	2	2
3	Maksymilian Szuber	William Wallinder	20	1	2	2
4	Isaiah George	Ville Ottavainen	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Bradly Nadeau	Cody Glass	Sam Colangelo	60	1	2	2
2		Peyton Krebs	Alex Newhook	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Isaiah George	Ville Ottavainen	60	1	2	2
2	William Villeneuve	Domenick Fensore	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Cody Glass	Peyton Krebs	60	1	2	2
2	Alex Newhook	Sam Colangelo	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Isaiah George	Ville Ottavainen	60	1	2	2
2	William Villeneuve	Domenick Fensore	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Cody Glass	60	1	2	2	Isaiah George	Ville Ottavainen	60	1	2	2
2	Peyton Krebs	40	1	2	2	William Villeneuve	Domenick Fensore	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Cody Glass	Peyton Krebs	60	1	2	2
2	Alex Newhook	Sam Colangelo	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Isaiah George	Ville Ottavainen	60	1	2	2
2	William Villeneuve	Domenick Fensore	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Bradly Nadeau	Cody Glass	Sam Colangelo	Isaiah George	Ville Ottavainen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Bradly Nadeau	Cody Glass	Sam Colangelo	Isaiah George	Ville Ottavainen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ryan Suzuki, Otto Stenberg,	Ryan Suzuki, Otto Stenberg

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Maksymilian Szuber, William Wallinder, William Villeneuve	Maksymilian Szuber	William Wallinder, William Villeneuve

Penalty Shots
Cody Glass, Peyton Krebs, Alex Newhook, Sam Colangelo, Bradly Nadeau

Goalie
#1 : Samuel Ersson, #2 : Dylan Garand

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

Custom OT Lines Defensemen
, , , ,

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

	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	Bandits	2	0	0	0	0	0	1	1	4	4	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	1	1	4	4	0	3	0.750	4	6	10	0	0	78	66	60	13	46	530	538	587	36	63	15	16	43	11	2	18.18%	8	0	100.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
2	BigBadStars	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	8	13	0	0	78	66	60	13	32	530	538	587	36	30	11	6	26	4	1	25.00%	3	0	100.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
3	Checkers	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	78	66	60	13	29	530	538	587	36	18	9	8	10	5	1	20.00%	4	0	100.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
4	Cyclones	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	78	66	60	13	23	530	538	587	36	26	6	15	28	1	0	0.00%	4	1	75.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
5	Darkness	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	5	1	4	4	1.000	7	13	20	0	0	78	66	60	13	53	530	538	587	36	26	10	14	32	11	1	9.09%	7	0	100.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
6	Draveurs	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	78	66	60	13	47	530	538	587	36	29	3	13	33	6	2	33.33%	4	0	100.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
7	Eagles	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	78	66	60	13	14	530	538	587	36	16	7	4	24	2	1	50.00%	2	1	50.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
8	EvilSharks	4	2	1	0	0	0	1	0	16	12	4	3	2	1	0	0	0	0	0	12	9	3	1	0	0	0	0	0	1	0	4	3	1	6	0.750	16	28	44	0	0	78	66	60	13	113	530	538	587	36	90	25	18	98	14	4	28.57%	9	2	77.78%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
9	Griffins	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	1	4	4	1.000	9	15	24	0	0	78	66	60	13	55	530	538	587	36	38	17	14	39	10	4	40.00%	5	1	80.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
10	IceBears	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	1.000	5	10	15	0	0	78	66	60	13	27	530	538	587	36	28	11	12	19	9	1	11.11%	5	1	80.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
11	IceHawks	4	4	0	0	0	0	0	0	16	6	10	2	2	0	0	0	0	0	0	9	3	6	2	2	0	0	0	0	0	0	7	3	4	8	1.000	16	26	42	0	0	78	66	60	13	111	530	538	587	36	49	15	53	75	21	1	4.76%	22	3	86.36%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
12	IceHogs	5	2	1	0	1	0	0	1	23	21	2	2	1	0	0	0	0	0	1	10	8	2	3	1	1	0	1	0	0	0	13	13	0	7	0.700	23	39	62	0	0	78	66	60	13	177	530	538	587	36	156	40	36	109	33	4	12.12%	11	1	90.91%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
13	Magics	6	2	3	0	0	0	1	0	19	18	1	3	1	1	0	0	0	1	0	12	11	1	3	1	2	0	0	0	0	0	7	7	0	6	0.500	19	32	51	1	0	78	66	60	13	156	530	538	587	36	130	36	44	128	30	3	10.00%	20	2	90.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
14	Mighty Ducks	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	78	66	60	13	16	530	538	587	36	32	4	10	22	5	0	0.00%	5	0	100.00%	1	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
15	National	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	78	66	60	13	30	530	538	587	36	18	2	8	22	4	1	25.00%	3	0	100.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
16	Nordiques	2	1	1	0	0	0	0	0	3	3	0	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	3	6	9	0	0	78	66	60	13	43	530	538	587	36	42	12	22	42	11	1	9.09%	9	0	100.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
17	Oceanic	3	2	0	0	1	0	0	0	9	2	7	2	1	0	0	1	0	0	0	8	2	6	1	1	0	0	0	0	0	0	1	0	1	6	1.000	9	14	23	0	2	78	66	60	13	77	530	538	587	36	38	10	21	81	5	0	0.00%	8	0	100.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
18	Pantheres	2	1	1	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	5	4	1	2	0.500	7	13	20	1	0	78	66	60	13	51	530	538	587	36	66	12	12	32	7	2	28.57%	6	1	83.33%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
19	Remparts	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	78	66	60	13	37	530	538	587	36	36	6	2	23	7	0	0.00%	1	1	0.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
20	Sagueneens	6	6	0	0	0	0	0	0	23	9	14	3	3	0	0	0	0	0	0	12	4	8	3	3	0	0	0	0	0	0	11	5	6	12	1.000	23	39	62	0	1	78	66	60	13	156	530	538	587	36	116	32	26	154	20	2	10.00%	12	1	91.67%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
21	Senators	3	2	0	0	0	0	0	1	9	6	3	1	0	0	0	0	0	0	1	3	4	-1	2	2	0	0	0	0	0	0	6	2	4	5	0.833	9	14	23	0	0	78	66	60	13	76	530	538	587	36	61	14	49	72	14	1	7.14%	17	1	94.12%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
22	SilverKnights	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	78	66	60	13	24	530	538	587	36	31	5	10	14	4	2	50.00%	4	1	75.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
23	Spiders	2	2	0	0	0	0	0	0	10	3	7	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	10	3	7	4	1.000	10	18	28	0	0	78	66	60	13	64	530	538	587	36	55	14	18	50	12	2	16.67%	9	0	100.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
24	Thunder	5	2	1	0	1	0	0	1	19	17	2	3	1	0	0	1	0	0	1	11	9	2	2	1	1	0	0	0	0	0	8	8	0	7	0.700	19	35	54	0	0	78	66	60	13	149	530	538	587	36	148	40	36	117	22	2	9.09%	18	2	88.89%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
25	Vikings	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	78	66	60	13	25	530	538	587	36	8	1	6	20	7	0	0.00%	3	1	66.67%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
26	WolfPack	2	1	1	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	2	0	2	2	0.500	3	6	9	0	1	78	66	60	13	39	530	538	587	36	39	19	36	46	8	1	12.50%	6	0	100.00%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
	Total	61	37	13	0	4	0	3	4	211	146	65	29	17	6	0	2	0	1	3	105	75	30	32	20	7	0	2	0	2	1	106	71	35	92	0.754	211	368	579	2	4	78	66	60	13	1670	530	538	587	36	1389	376	509	1359	283	39	13.78%	205	20	90.24%	1	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
	_Since Last GM Reset	61	37	13	0	4	0	3	4	211	146	65	29	17	6	0	2	0	1	3	105	75	30	32	20	7	0	2	0	2	1	106	71	35	92	0.754	211	368	579	2	4	78	66	60	13	1670	530	538	587	36	1389	376	509	1359	283	39	13.78%	205	20	90.24%	1	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
	_Vs Conference	46	31	7	0	3	0	2	3	175	111	64	23	14	3	0	2	0	1	3	88	58	30	23	17	4	0	1	0	1	0	87	53	34	75	0.815	175	299	474	2	3	78	66	60	13	1300	530	538	587	36	1021	278	355	1035	207	28	13.53%	150	14	90.67%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
	_Vs Division	23	18	6	0	2	0	2	2	81	44	37	12	10	2	0	1	0	1	2	50	27	23	11	8	4	0	1	0	1	0	31	17	14	46	1.000	81	137	218	1	3	78	66	60	13	610	530	538	587	36	446	128	179	541	92	14	15.22%	72	6	91.67%	0	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
61	92	W1	211	368	579	1670	1389	376	509	1359	2	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
61	37	13	4	0	3	4	211	146

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	17	6	2	0	1	3	105	75

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	20	7	2	0	2	1	106	71

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	0	1	0	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
283	39	13.78%	205	20	90.24%	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
530	538	587	36	78	66	60	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1002	1845	54.31%	894	1702	52.53%	475	911	52.14%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1616	1165	1348	417	737	388

Last Played Games Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2	14	EvilSharks	5	Wolves	3	BL			BoxScore
3	19	Wolves	6	Magics	2	AW			BoxScore
6	37	Wolves	4	Thunder	5	AL			BoxScore
8	52	Magics	3	Wolves	4	BW	X	X	BoxScore
11	68	Wolves	4	IceHogs	3	AW	X		BoxScore
13	83	EvilSharks	2	Wolves	4	BW			BoxScore
17	105	Magics	4	Wolves	3	BL			BoxScore
19	119	Wolves	3	IceHawks	1	AW			BoxScore
21	134	Wolves	4	EvilSharks	3	AW	X	X	BoxScore
22	146	Thunder	3	Wolves	2	BL	X	X	BoxScore
24	158	Wolves	1	Magics	3	AL			BoxScore
27	175	Wolves	4	Sagueneens	1	AW			BoxScore
28	183	IceHawks	1	Wolves	4	BW			BoxScore
31	204	IceHogs	3	Wolves	6	BW			BoxScore
33	221	Wolves	4	Thunder	3	AW			BoxScore
35	236	Sagueneens	2	Wolves	3	BW			BoxScore
37	249	Wolves	3	Sagueneens	2	AW			BoxScore
39	267	IceHogs	5	Wolves	4	BL	X	X	BoxScore
42	284	Wolves	3	Cyclones	2	AW			BoxScore
44	302	Magics	4	Wolves	5	BW			BoxScore
46	320	IceHawks	2	Wolves	5	BW			BoxScore
48	327	Wolves	5	IceHogs	9	AL			BoxScore
50	340	Wolves	7	Spiders	2	AW			BoxScore
52	357	Oceanic	0	Wolves	5	BW			BoxScore
54	370	Wolves	4	IceHawks	2	AW			BoxScore
56	389	Wolves	5	Griffins	1	AW			BoxScore
57	397	Sagueneens	2	Wolves	5	BW			BoxScore
59	416	Wolves	5	Darkness	1	AW			BoxScore
60	417	Wolves	4	Senators	1	AW			BoxScore
62	432	Thunder	5	Wolves	6	BW	X		BoxScore
65	458	EvilSharks	2	Wolves	5	BW			BoxScore
67	475	Wolves	5	BigBadStars	3	AW			BoxScore
68	483	Wolves	0	Magics	2	AL			BoxScore
70	493	Griffins	2	Wolves	4	BW			BoxScore
73	517	National	1	Wolves	3	BW			BoxScore
75	531	Wolves	2	WolfPack	0	AW			BoxScore
77	548	Wolves	1	Nordiques	2	AL			BoxScore
78	557	Senators	4	Wolves	3	BL	X	X	BoxScore
81	581	Pantheres	4	Wolves	2	BL			BoxScore
83	597	Wolves	1	Remparts	3	AL			BoxScore
85	609	Wolves	4	Sagueneens	2	AW			BoxScore
86	618	Oceanic	2	Wolves	3	BW	X		BoxScore
89	638	Wolves	4	IceHogs	1	AW			BoxScore
90	647	WolfPack	2	Wolves	1	BL			BoxScore
93	671	Wolves	2	Bandits	3	AL	X	X	BoxScore
94	679	SilverKnights	4	Wolves	2	BL			BoxScore
97	696	Wolves	1	Oceanic	0	AW			BoxScore
99	708	Mighty Ducks	6	Wolves	1	BL			BoxScore
101	726	Wolves	5	Pantheres	4	AW			BoxScore
104	742	Checkers	3	Wolves	5	BW			BoxScore
106	756	Wolves	1	Eagles	2	AL			BoxScore
108	769	Wolves	3	Spiders	1	AW			BoxScore
109	774	Nordiques	1	Wolves	2	BW			BoxScore
112	802	Wolves	2	Vikings	1	AW			BoxScore
113	805	Darkness	1	Wolves	2	BW			BoxScore
117	834	Thunder	1	Wolves	3	BW			BoxScore
119	849	Wolves	2	Senators	1	AW			BoxScore
121	864	Wolves	2	Bandits	1	AW	X	X	BoxScore
122	867	Draveurs	1	Wolves	6	BW			BoxScore
124	887	Wolves	5	IceBears	4	AW	X		BoxScore
125	896	Sagueneens	0	Wolves	4	BW			BoxScore
129	926	Wolves	-	Magics	-
130	930	Eagles	-	Wolves	-
133	956	IceHogs	-	Wolves	-
137	987	Magics	-	Wolves	-
139	997	Wolves	-	BaronsOKC	-
141	1015	IceHawks	-	Wolves	-
144	1037	Wolves	-	EvilSharks	-
145	1047	Spiders	-	Wolves	-
148	1072	Iceberg	-	Wolves	-
152	1097	Wolves	-	Thunder	-
153	1104	Vikings	-	Wolves	-
157	1129	Roadrunners	-	Wolves	-
159	1146	Wolves	-	IceHawks	-
161	1160	BigBadStars	-	Wolves	-
163	1173	Wolves	-	National	-
165	1189	HC	-	Wolves	-
166	1193	Wolves	-	EvilSharks	-
168	1208	Wolves	-	National	-
Trade Deadline --- Trades can’t be done after this day is simulated!
172	1231	EvilSharks	-	Wolves	-
174	1242	Wolves	-	Griffins	-
179	1270	EvilSharks	-	Wolves	-

Wolves Stat Leaders (Regular Season)

Show or Hide Column

#	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
1	Max Pacioretty	1468	354	582	936	343	1513	2031	2112	3062	11.56%	871	24651	16.79	78	136	214	321	10	13	23	95	53	22	55.96%	7	0.76	11	36
2	Alex Newhook	301	115	120	235	7	81	315	796	828	13.89%	33	5432	18.05	30	38	68	198	1	1	2	12	22	6	58.82%	2	0.87	6	23
3	Craig Smith	424	86	147	233	74	60	200	939	813	10.58%	33	7821	18.45	19	53	72	149	1	2	3	18	24	7	52.87%	1	0.60	11	27
4	Cody Glass	381	82	130	212	19	92	189	898	756	10.85%	69	5748	15.09	10	20	30	96	0	1	1	3	14	5	61.79%	2	0.74	4	16
5	Devin Shore	246	82	111	193	54	66	151	625	597	13.74%	42	4867	19.79	27	43	70	159	2	3	5	14	19	6	56.58%	4	0.79	1	19

Wolves Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Jake Allen	168	116	42	7	0.910	1.71	9951	19	32	284	3139	9	2	0.870	46
2	Samuel Ersson	182	116	53	12	0.900	2.32	10933	14	17	423	4250	8	3	0.695	59
3	Eddie Lack	142	95	35	12	0.909	1.67	8645	8	24	240	2638	5	2	0.806	93
4	Thatcher Demko	161	86	57	17	0.894	2.22	9678	18	19	358	3370	4	1	0.718	71
5	Stanislav Galimov	109	79	24	5	0.904	1.82	6612	25	15	200	2092	5	1	0.921	76

Wolves Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2019	81	49	20	0	4	3	3	2	325	231	94	40	24	11	0	1	2	1	1	158	113	45	41	25	9	0	3	1	2	1	167	118	49	109	325	519	844	2	0	0	93	119	106	3033	0	912	1110	979	2491	927	1438	2123	247	54	21.86%	254	56	77.95%	10	996	2125	46.87%	938	2024	46.34%	562	1239	45.36%	1799	1016	1572	750	1523	758
2020	82	37	25	0	3	1	9	7	290	243	47	41	12	14	0	3	0	7	5	137	130	7	41	25	11	0	0	1	2	2	153	113	40	81	290	472	762	1	3	0	82	97	99	2950	0	989	1010	927	2552	871	1150	2047	240	46	19.17%	213	51	76.06%	3	1112	2062	53.93%	1038	1990	52.16%	669	1264	52.93%	1821	1028	1610	770	1577	790
2021	82	45	18	0	6	1	7	5	201	135	66	41	27	4	0	1	1	6	2	102	56	46	41	18	14	0	5	0	1	3	99	79	20	103	201	342	543	1	15	0	69	72	47	1683	0	546	533	577	1538	432	1073	2002	362	48	13.26%	428	37	91.36%	3	1260	2341	53.82%	1126	2277	49.45%	593	1124	52.76%	2101	1465	1874	601	1026	525
2022	81	32	23	0	7	2	11	6	176	151	25	41	18	9	0	4	0	6	4	88	65	23	40	14	14	0	3	2	5	2	88	86	2	80	176	294	470	2	12	0	51	60	47	1670	0	534	566	534	1522	464	1007	1964	381	42	11.02%	408	52	87.25%	2	1227	2363	51.93%	1134	2303	49.24%	520	1074	48.42%	2118	1493	1839	585	1010	520
2023	81	36	27	0	4	5	5	4	199	169	30	41	18	14	0	2	2	2	3	101	82	19	40	18	13	0	2	3	3	1	98	87	11	85	199	347	546	1	10	0	68	71	51	1810	0	606	586	594	1622	478	970	1871	439	69	15.72%	389	50	87.15%	4	1346	2493	53.99%	1118	2223	50.29%	605	1173	51.58%	2150	1522	1767	570	1008	531
2024	82	51	23	0	2	1	5	0	228	137	91	41	29	9	0	1	0	2	0	135	72	63	41	22	14	0	1	1	3	0	93	65	28	117	228	397	625	1	19	0	79	72	70	1897	0	632	623	630	1489	437	788	1832	424	70	16.51%	318	34	89.31%	1	1420	2450	57.96%	1248	2145	58.18%	654	1126	58.08%	2273	1629	1660	569	1020	547
2025	82	52	17	0	6	0	6	1	249	137	112	41	23	7	0	5	0	5	1	128	71	57	41	29	10	0	1	0	1	0	121	66	55	129	249	438	687	0	13	0	84	86	67	1974	0	635	701	618	1650	487	830	1839	437	81	18.54%	337	44	86.94%	2	1444	2512	57.48%	1251	2211	56.58%	680	1201	56.62%	2347	1701	1618	546	1002	552
2026	82	41	18	0	4	1	15	3	228	157	71	41	22	8	0	2	0	7	2	126	85	41	41	19	10	0	2	1	8	1	102	72	30	124	228	390	618	1	12	0	71	73	65	1736	0	537	585	582	1583	457	938	1825	424	90	21.23%	358	47	86.87%	4	1313	2362	55.59%	1147	2204	52.04%	620	1167	53.13%	2283	1630	1701	578	1034	553
2027	82	50	19	0	2	2	8	1	266	174	92	41	28	6	0	2	0	5	0	139	82	57	41	22	13	0	0	2	3	1	127	92	35	123	266	452	718	0	6	0	84	83	89	2084	0	643	729	689	1760	479	972	2050	389	74	19.02%	414	45	89.13%	3	1339	2483	53.93%	1233	2307	53.45%	622	1192	52.18%	2252	1610	1718	565	1005	536
2030	82	42	23	0	3	1	5	8	235	182	53	41	20	10	0	1	0	4	6	130	95	35	41	22	13	0	2	1	1	2	105	87	18	109	235	419	654	0	8	0	84	76	67	1930	0	660	617	631	1752	472	942	1993	397	81	20.40%	420	67	84.05%	1	1230	2438	50.45%	1137	2259	50.33%	603	1195	50.46%	2181	1539	1792	575	1021	536
2031	82	50	20	0	3	1	6	2	240	156	84	41	23	9	0	3	1	4	1	125	83	42	41	27	11	0	0	0	2	1	115	73	42	121	240	423	663	0	15	0	85	81	65	1788	0	595	581	589	1498	433	820	1843	375	61	16.27%	356	49	86.24%	5	1187	2290	51.83%	1153	2157	53.45%	655	1179	55.56%	2179	1547	1762	582	1026	541
2032	82	34	30	0	5	3	6	4	201	172	29	41	19	12	0	3	3	1	3	102	88	14	41	15	18	0	2	0	5	1	99	84	15	97	201	344	545	0	13	0	60	78	52	1867	0	586	647	613	1512	439	644	1729	382	50	13.09%	257	35	86.38%	4	1455	2488	58.48%	1087	2021	53.79%	664	1197	55.47%	2278	1639	1683	570	1031	551
2033	82	36	37	0	1	2	5	1	227	219	8	41	19	19	0	0	1	1	1	119	116	3	41	17	18	0	1	1	4	0	108	103	5	87	227	395	622	0	3	0	87	66	68	1754	0	570	580	590	1912	572	733	1754	388	67	17.27%	297	45	84.85%	3	1271	2279	55.77%	1229	2214	55.51%	624	1187	52.57%	2237	1620	1724	549	996	529
2034	82	36	28	0	3	3	5	7	262	214	48	41	22	9	0	1	2	3	4	147	106	41	41	14	19	0	2	1	2	3	115	108	7	98	262	443	705	1	6	0	93	77	84	2191	0	732	698	714	2003	583	757	1851	380	53	13.95%	338	44	86.98%	4	1480	2522	58.68%	1325	2325	56.99%	741	1247	59.42%	2210	1595	1783	557	999	524
2035	82	34	33	0	6	3	3	3	233	244	-11	41	20	14	0	3	1	3	0	131	123	8	41	14	19	0	3	2	0	3	102	121	-19	92	233	414	647	1	8	0	83	70	71	2265	0	770	706	765	2163	610	710	1909	330	33	10.00%	298	45	84.90%	4	1440	2619	54.98%	1270	2320	54.74%	686	1274	53.85%	2117	1511	1856	563	1000	514
2036	80	40	24	0	3	5	4	4	252	212	40	40	24	11	0	2	0	2	1	135	102	33	40	16	13	0	1	5	2	3	117	110	7	103	252	443	695	1	10	0	98	82	65	1952	0	635	643	648	1865	507	684	1577	346	61	17.63%	258	42	83.72%	2	1294	2303	56.19%	1181	2095	56.37%	682	1195	57.07%	2190	1597	1687	537	984	519
2037	82	48	20	0	5	4	2	3	279	204	75	41	22	10	0	3	3	2	1	145	105	40	41	26	10	0	2	1	0	2	134	99	35	117	279	493	772	1	8	118	82	72	11	2395	829	784	761	38	1911	538	724	1719	379	63	16.62%	313	41	86.90%	3	1353	2563	52.79%	1193	2297	51.94%	685	1216	56.33%	2208	1607	1777	551	975	509
2038	78	37	27	0	4	1	6	3	233	192	41	39	19	14	0	4	0	1	1	133	104	29	39	18	13	0	0	1	5	2	100	88	12	98	233	395	628	1	6	74	74	75	15	1802	575	640	567	55	1867	511	623	1586	329	51	15.50%	264	30	88.64%	3	1329	2182	60.91%	1284	2172	59.12%	719	1183	60.78%	2051	1469	1722	542	962	502
2039	61	37	13	0	4	0	3	4	211	146	65	29	17	6	0	2	0	1	3	105	75	30	32	20	7	0	2	0	2	1	106	71	35	92	211	368	579	2	4	78	66	60	13	1670	530	538	587	36	1389	376	509	1359	283	39	13.78%	205	20	90.24%	1	1002	1845	54.31%	894	1702	52.53%	475	911	52.14%	1616	1165	1348	417	737	388
Total Regular Season	1528	787	445	0	75	39	114	68	4535	3475	1060	763	406	196	0	43	16	63	39	2386	1753	633	765	381	249	0	32	23	51	29	2149	1722	427	1965	4535	7788	12323	16	171	270	1493	1470	1152	38451	1934	12544	12830	10809	34079	10073	16312	34873	6932	1133	16.34%	6125	834	86.38%	62	24498	44720	54.78%	21986	41246	53.30%	12059	22344	53.97%	40417	28393	32501	10988	19946	10432
Playoff
2019	10	6	4	0	0	0	0	0	35	33	2	5	3	2	0	0	0	0	0	17	12	5	5	3	2	0	0	0	0	0	18	21	-3	12	35	56	91	1	0	0	10	13	10	381	0	117	120	139	335	107	120	251	24	3	12.50%	21	1	95.24%	0	105	256	41.02%	127	253	50.20%	81	166	48.80%	220	128	196	93	184	90
2020	23	15	8	0	0	0	0	0	60	52	8	13	8	5	0	0	0	0	0	33	29	4	10	7	3	0	0	0	0	0	27	23	4	30	60	97	157	0	1	0	11	20	24	692	0	194	208	262	628	187	180	502	65	15	23.08%	46	7	84.78%	1	310	563	55.06%	235	499	47.09%	163	298	54.70%	487	252	450	226	491	247
2021	13	6	7	0	0	0	0	0	27	27	0	7	3	4	0	0	0	0	0	15	14	1	6	3	3	0	0	0	0	0	12	13	-1	12	27	48	75	1	3	0	9	4	12	257	0	97	62	78	316	108	234	325	75	12	16.00%	86	9	89.53%	1	195	370	52.70%	197	423	46.57%	79	186	42.47%	339	233	328	102	174	86
2022	13	7	6	0	0	0	0	0	33	30	3	7	3	4	0	0	0	0	0	19	20	-1	6	4	2	0	0	0	0	0	14	10	4	14	33	55	88	0	1	0	5	16	11	278	0	91	96	87	275	67	170	323	56	8	14.29%	74	18	75.68%	2	183	371	49.33%	192	397	48.36%	85	191	44.50%	320	223	302	96	164	81
2023	16	8	8	0	0	0	0	0	38	38	0	8	4	4	0	0	0	0	0	17	18	-1	8	4	4	0	0	0	0	0	21	20	1	16	38	65	103	0	1	0	15	11	11	398	0	146	126	115	328	94	189	388	93	12	12.90%	75	16	78.67%	0	292	526	55.51%	239	451	52.99%	122	229	53.28%	405	283	379	118	202	101
2024	9	5	4	0	0	0	0	0	20	16	4	4	3	1	0	0	0	0	0	10	6	4	5	2	3	0	0	0	0	0	10	10	0	10	20	36	56	0	0	0	8	4	7	183	0	60	39	57	171	46	115	224	53	7	13.21%	42	5	88.10%	1	140	273	51.28%	146	269	54.28%	81	138	58.70%	267	190	222	74	129	68
2025	22	16	6	0	0	0	0	0	72	41	31	12	9	3	0	0	0	0	0	40	17	23	10	7	3	0	0	0	0	0	32	24	8	32	72	126	198	0	3	0	23	26	20	559	0	158	188	179	501	153	242	517	110	22	20.00%	94	12	87.23%	0	414	682	60.70%	371	661	56.13%	176	319	55.17%	656	482	471	146	273	150
2026	10	6	4	0	0	0	0	0	23	17	6	5	3	2	0	0	0	0	0	13	9	4	5	3	2	0	0	0	0	0	10	8	2	12	23	43	66	0	0	0	5	7	9	183	0	43	67	62	236	58	146	218	40	10	25.00%	63	6	90.48%	0	161	280	57.50%	168	335	50.15%	72	138	52.17%	263	186	240	73	128	65
2027	16	10	6	0	0	0	0	0	36	29	7	8	5	3	0	0	0	0	0	16	11	5	8	5	3	0	0	0	0	0	20	18	2	20	36	61	97	0	3	0	9	14	12	388	0	122	141	100	359	115	213	441	68	11	16.18%	101	8	92.08%	1	267	518	51.54%	251	501	50.10%	116	235	49.36%	451	317	369	117	208	109
2030	4	0	4	0	0	0	0	0	7	15	-8	2	0	2	0	0	0	0	0	3	5	-2	2	0	2	0	0	0	0	0	4	10	-6	0	7	12	19	0	0	0	3	1	3	100	0	38	16	41	133	39	56	128	16	2	12.50%	23	3	86.96%	1	86	135	63.70%	81	157	51.59%	33	53	62.26%	115	83	87	27	50	28
2031	10	6	4	0	0	0	0	0	17	16	1	5	4	1	0	0	0	0	0	9	3	6	5	2	3	0	0	0	0	0	8	13	-5	12	17	30	47	0	5	0	5	7	4	216	0	67	86	61	161	44	73	214	63	9	14.29%	32	6	81.25%	0	153	289	52.94%	129	233	55.36%	73	129	56.59%	267	190	208	74	125	65
2032	23	15	8	0	0	0	0	0	64	58	6	10	8	2	0	0	0	0	0	30	22	8	13	7	6	0	0	0	0	0	34	36	-2	30	64	110	174	0	2	0	13	22	23	539	0	138	162	186	593	189	234	526	99	15	15.15%	96	18	81.25%	0	401	658	60.94%	404	716	56.42%	186	352	52.84%	656	476	530	166	298	160
2034	4	0	4	0	0	0	0	0	7	13	-6	2	0	2	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	4	6	-2	0	7	12	19	0	0	0	4	0	3	65	0	24	17	24	93	25	28	90	11	0	0.00%	12	0	100.00%	0	43	87	49.43%	60	111	54.05%	28	58	48.28%	92	62	95	28	52	26
2035	5	1	4	0	0	0	0	0	14	23	-9	2	1	1	0	0	0	0	0	5	9	-4	3	0	3	0	0	0	0	0	9	14	-5	2	14	24	38	0	0	0	3	4	7	132	0	45	43	35	164	47	46	118	29	4	13.79%	22	6	72.73%	1	91	153	59.48%	97	185	52.43%	64	90	71.11%	155	114	114	36	63	34
2036	24	16	8	0	0	0	0	0	84	73	11	12	9	3	0	0	0	0	0	46	38	8	12	7	5	0	0	0	0	0	38	35	3	32	84	153	237	2	0	0	31	31	19	541	0	183	169	162	647	184	213	506	112	28	25.00%	91	13	85.71%	1	419	712	58.85%	398	751	53.00%	220	405	54.32%	699	508	513	161	305	164
2037	17	11	6	0	0	0	0	0	45	36	9	9	8	1	0	0	0	0	0	28	16	12	8	3	5	0	0	0	0	0	17	20	-3	22	45	79	124	0	1	16	13	16	0	392	134	120	132	6	368	116	127	312	68	11	16.18%	53	5	90.57%	2	306	494	61.94%	305	495	61.62%	141	246	57.32%	458	327	377	123	220	112
2038	13	7	6	0	0	0	0	0	44	38	6	7	4	3	0	0	0	0	0	21	16	5	6	3	3	0	0	0	0	0	23	22	1	14	44	79	123	0	0	17	15	12	0	361	119	115	116	11	370	103	114	291	75	15	20.00%	46	5	89.13%	0	249	401	62.09%	224	369	60.70%	142	225	63.11%	403	301	253	85	163	90
Total Playoff	232	135	97	0	0	0	0	0	626	555	71	118	75	43	0	0	0	0	0	325	252	73	114	60	54	0	0	0	0	0	301	303	-2	270	626	1086	1712	4	20	33	182	208	175	5665	253	1758	1788	1605	5678	1682	2500	5374	1057	184	17.41%	977	138	85.88%	11	3815	6768	56.37%	3624	6806	53.25%	1862	3458	53.85%	6260	4364	5142	1751	3236	1684

Wolves Stat Leaders (Play-Off)

Show or Hide Column

#	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%	P/20
1	Max Pacioretty	126	25	39	64	19	115	171	173	273	9.16%	74	2124	16.86	3	4	7	23	1	1	2	7	3	1	48.12%	0.60
2	Alex Newhook	54	26	27	53	-5	8	52	159	159	16.35%	12	1147	21.25	5	9	14	24	0	0	0	3	5	1	59.37%	0.92
3	Anton Lundell	30	12	28	40	6	2	20	132	122	9.84%	8	802	26.76	2	8	10	18	2	0	2	5	1	1	64.50%	1.00
4	Craig Smith	65	15	22	37	13	24	30	164	113	13.27%	12	1357	20.89	4	8	12	21	0	0	0	5	4	3	49.68%	0.55
5	Cody Glass	63	15	21	36	4	29	51	129	110	13.64%	10	1039	16.50	1	4	5	7	0	2	2	1	2	1	62.95%	0.69

Wolves Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG
1	Spencer Knight	24	16	7	1	0.889	2.84	1498	2	0	71	640	0	0	2
2	Vitaly Kolesnik	23	15	6	2	0.917	2.19	1428	0	1	52	628	280	2	0
3	Thatcher Demko	28	15	11	1	0.898	2.43	1756	2	2	71	697	0	2	0
4	Eddie Lack	26	13	11	1	0.906	2.01	1582	15	4	53	563	0	2	1
5	Jake Allen	18	11	7	0	0.889	1.96	1163	0	1	38	343	0	0	0