	Wolves
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Alex Wyatt \| Morale : 50 \| Team Overall : 69

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Hurricanes
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Team Stats


	General Manager	Alex Wyatt
		Metropolitan Division
		Eastern Conference




	Arena Capacity	5,000
	Attendance
		5,000

		29
		20
		49 / 55
	Prospects	38

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 Average
1	Nathan Walker	0		X			100.00	78	52	96	73	83	47	67	59	45	68	70	79	65	65	65	0	50	77	0	29	3	750,000$
2	Jujhar Khaira	0		X	X		100.00	80	53	93	70	84	60	61	60	52	67	71	66	65	65	65	0	50	76	0	28	2	965,250$
3	Alex Chiasson	0			X		100.00	71	52	96	71	88	52	55	62	40	70	75	55	69	69	69	0	50	75	0	32	1	750,000$
4	Andreas Johnsson	0		X	X		100.00	69	53	94	74	82	60	55	63	42	71	70	55	66	66	66	0	50	75	0	28	2	792,000$
5	Mark Jankowski	0	X	X			100.00	70	52	95	72	82	56	59	59	63	68	71	61	65	65	65	0	50	74	0	28	2	767,250$
6	Justin Dowling	0	X				100.00	53	38	81	69	72	58	45	63	65	76	66	71	64	25	40	0	50	73	0	32	2	750,000$
7	Devin Shore	0		X	X		100.00	75	51	98	70	82	40	56	58	49	68	69	64	64	64	64	0	50	72	0	28	2	841,000$
8	Ross Johnston	0		X			100.00	87	59	83	76	80	38	55	54	40	67	68	55	61	61	61	0	50	72	0	29	3	1,056,000$
9	Alex Galchenyuk	0	X	X	X		100.00	74	54	94	67	81	41	55	56	51	66	69	55	62	62	62	0	50	70	0	29	1	750,000$
10	Zac Dalpe	0	X				100.00	76	51	97	67	80	37	55	57	52	69	70	55	64	64	64	0	50	70	0	33	2	750,000$
11	Tye Felhaber (R)	0		X			100.00	52	39	84	54	61	58	45	42	36	58	65	39	53	25	40	0	50	60	0	24	3	775,000$
12	Matt Irwin	0				X	100.00	78	53	93	71	80	48	73	61	40	67	68	81	65	65	65	0	50	78	0	35	1	775,000$
13	Chad Ruhwedel	0				X	100.00	76	52	95	69	80	55	56	63	40	67	68	70	65	65	65	0	50	77	0	33	2	752,000$
14	Kaedan Korczak (R)	0				X	100.00	77	50	99	72	80	65	55	65	40	69	68	55	67	67	67	0	50	76	0	22	1	925,000$
15	Jordie Benn	40				X	100.00	76	54	90	70	82	57	55	64	40	67	69	55	67	67	67	0	50	75	0	35	1	750,000$
16	Alex Alexeyev (R)	0				X	100.00	70	51	98	67	80	61	55	61	40	68	68	55	64	64	64	0	50	73	0	23	1	925,000$
17	Kurtis MacDermid	0		X		X	100.00	85	58	86	70	81	35	55	56	40	66	68	66	62	62	62	0	50	72	0	29	3	948,000$
18	Kyle Capobianco (R)	0				X	100.00	71	53	92	69	80	50	55	60	40	66	69	55	65	65	65	0	50	72	0	25	1	765,000$
Scratches
1	Anthony Angello	0	X		X		100.00	55	61	79	53	53	73	84	40	65	57	64	37	52	25	40	0	50	60	0	27	1	1,010,100$
2	Martin Pospisil (R)	0			X		100.00	54	54	80	53	55	58	64	39	36	58	64	41	51	25	40	0	50	58	0	23	2	943,500$
3	Nick Caamano (R)	0		X	X		100.00	52	54	83	52	54	58	64	38	36	57	63	39	51	25	40	0	50	57	0	24	1	750,000$
4	Alexander Pashin (R)	0	X				100.00	52	54	84	52	53	58	64	37	65	57	63	34	50	25	40	0	50	56	0	20	2	826,667$
5	Scott Perunovich (R)	0				X	100.00	53	39	82	60	73	58	45	49	36	68	64	53	56	25	40	0	50	66	0	24	3	869,500$
6	Will Butcher	0				X	100.00	52	63	84	55	55	76	88	43	36	62	63	47	53	25	40	0	50	63	0	28	2	767,250$
7	Reilly Walsh	0				X	100.00	52	65	83	55	54	82	95	42	36	61	64	44	53	25	40	0	50	63	0	24	1	925,000$
8	Albert Johansson (R)	0				X	100.00	53	57	82	52	53	62	72	38	36	57	63	37	51	25	40	0	50	57	0	22	1	820,000$
9	Quinn Wichers (R)	0				X	100.00	53	38	82	50	51	58	45	35	36	55	63	32	49	25	40	0	50	55	0	25	2	962,000$

	TEAM AVERAGE						100.00	66	52	89	64	72	56	60	53	44	65	67	54	60	49	55	0	50	69

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 Average
1	Pheonix Copley	100.00	82	57	67	83	83	81	82	83	92	90	87	30	57	0	50	85	0	31	2	1,455,000$
2	Jesper Wallstedt (R)	100.00	74	68	74	77	77	75	74	76	78	74	76	25	55	0	50	78	0	20	2	925,000$
Scratches

	TEAM AVERAGE	100.00	78	63	71	80	80	78	78	80	85	82	82	28	56	0	50	82

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

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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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

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 Clause	Trade Block	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Albert Johansson	Wolves (CAR)	D	22	2001-01-04	Yes	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	820,000$	820,000$	820,000$	820,000$	0$	0$	No			Link / NHL Link
Alex Alexeyev	Wolves (CAR)	D	23	1999-11-15	Yes	213 Lbs	6 ft4	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	925,000$	0$	0$	No			Link / NHL Link
Alex Chiasson	Wolves (CAR)	RW	32	1990-10-01	No	208 Lbs	6 ft4	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No			Link / NHL Link
Alex Galchenyuk	Wolves (CAR)	C/LW/RW	29	1994-02-12	No	207 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No			Link / NHL Link
Alexander Pashin	Wolves (CAR)	C	20	2002-07-28	Yes	154 Lbs	5 ft8	No	No	No	2	Pro & Farm	826,667$	826,667$	826,667$	826,667$	0$	0$	No	826,667$		Link / NHL Link
Andreas Johnsson (1 Way Contract)	Wolves (CAR)	LW/RW	28	1994-11-21	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	792,000$	792,000$	792,000$	792,000$	0$	0$	No	792,000$		Link / NHL Link
Anthony Angello	Wolves (CAR)	C/RW	27	1996-03-06	No	210 Lbs	6 ft5	No	No	No	1	Pro & Farm	1,010,100$	1,010,100$	1,010,100$	1,010,100$	0$	0$	No			Link / NHL Link
Chad Ruhwedel	Wolves (CAR)	D	33	1990-05-07	No	191 Lbs	5 ft11	No	No	No	2	Pro & Farm	752,000$	752,000$	752,000$	752,000$	0$	0$	No	752,000$		Link / NHL Link
Devin Shore	Wolves (CAR)	LW/RW	28	1994-07-19	No	206 Lbs	6 ft1	No	No	No	2	Pro & Farm	841,000$	841,000$	841,000$	841,000$	0$	0$	No	841,000$		Link / NHL Link
Jesper Wallstedt	Wolves (CAR)	G	20	2002-11-14	Yes	213 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	925,000$	925,000$	925,000$	0$	0$	No	925,000$		Link / NHL Link
Jordie Benn	Wolves (CAR)	D	35	1987-07-26	No	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No			Link / NHL Link
Jujhar Khaira	Wolves (CAR)	LW/RW	28	1994-08-13	No	212 Lbs	6 ft4	No	No	No	2	Pro & Farm	965,250$	965,250$	965,250$	965,250$	0$	0$	No	965,250$		Link / NHL Link
Justin Dowling	Wolves (CAR)	C	32	1990-10-01	No	180 Lbs	5 ft10	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$		Link / NHL Link
Kaedan Korczak	Wolves (CAR)	D	22	2001-01-29	Yes	202 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	925,000$	0$	0$	No			Link / NHL Link
Kurtis MacDermid	Wolves (CAR)	LW/D	29	1994-03-25	No	233 Lbs	6 ft5	No	No	No	3	Pro & Farm	948,000$	948,000$	948,000$	948,000$	0$	0$	No	948,000$	948,000$	Link / NHL Link
Kyle Capobianco	Wolves (CAR)	D	25	1997-08-13	Yes	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	765,000$	765,000$	765,000$	765,000$	0$	0$	No			Link / NHL Link
Mark Jankowski	Wolves (CAR)	C/LW	28	1994-09-13	No	201 Lbs	6 ft4	No	No	No	2	Pro & Farm	767,250$	767,250$	767,250$	767,250$	0$	0$	No	767,250$		Link / NHL Link
Martin Pospisil	Wolves (CAR)	RW	23	1999-11-19	Yes	173 Lbs	6 ft2	No	No	No	2	Pro & Farm	943,500$	943,500$	943,500$	943,500$	0$	0$	No	943,500$		Link / NHL Link
Matt Irwin	Wolves (CAR)	D	35	1987-11-29	No	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	775,000$	775,000$	775,000$	775,000$	0$	0$	No			Link / NHL Link
Nathan Walker	Wolves (CAR)	LW	29	1994-02-07	No	187 Lbs	5 ft9	No	No	No	3	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Nick Caamano	Wolves (CAR)	LW/RW	24	1998-09-07	Yes	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No			Link / NHL Link
Pheonix Copley	Wolves (CAR)	G	31	1992-01-18	No	200 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,455,000$	1,455,000$	1,455,000$	1,455,000$	0$	0$	No	1,455,000$		Link / NHL Link
Quinn Wichers	Wolves (CAR)	D	25	1997-08-19	Yes	216 Lbs	6 ft4	No	No	No	2	Farm Only	962,000$	962,000$	962,000$	962,000$	0$	0$	No	962,000$		Link / NHL Link
Reilly Walsh	Wolves (CAR)	D	24	1999-04-21	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	925,000$	0$	0$	No			Link / NHL Link
Ross Johnston	Wolves (CAR)	LW	29	1994-02-18	No	230 Lbs	6 ft5	No	No	No	3	Pro & Farm	1,056,000$	1,056,000$	1,056,000$	1,056,000$	0$	0$	No	1,056,000$	1,056,000$	Link / NHL Link
Scott Perunovich	Wolves (CAR)	D	24	1998-08-18	Yes	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	869,500$	869,500$	869,500$	869,500$	0$	0$	No	869,500$	869,500$	Link / NHL Link
Tye Felhaber	Wolves (CAR)	LW	24	1998-08-05	Yes	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	775,000$	775,000$	775,000$	775,000$	0$	0$	No	775,000$	775,000$	Link / NHL Link
Will Butcher	Wolves (CAR)	D	28	1995-01-06	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	767,250$	767,250$	767,250$	767,250$	0$	0$	No	767,250$		Link / NHL Link
Zac Dalpe	Wolves (CAR)	C	33	1989-11-01	No	197 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	750,000$	0$	0$	No	750,000$		Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	27.24	199 Lbs	6 ft1	1.79	863,466$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jujhar Khaira	Mark Jankowski	Andreas Johnsson	30	1	2	2
2	Ross Johnston	Justin Dowling	Alex Chiasson	30	1	2	2
3	Kurtis MacDermid	Zac Dalpe	Nathan Walker	20	1	2	2
4	Tye Felhaber	Alex Galchenyuk	Devin Shore	20	1	2	2

5 vs 5 Defence
Line #	Defence	Defence	Time %	PHY	DF	OF
1	Matt Irwin	Chad Ruhwedel	32	1	2	2
2	Kaedan Korczak	Jordie Benn	30	1	2	2
3	Alex Alexeyev	Kyle Capobianco	23	1	2	2
4	Kurtis MacDermid	Matt Irwin	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jujhar Khaira	Mark Jankowski	Andreas Johnsson	50	1	2	2
2	Ross Johnston	Justin Dowling	Alex Chiasson	50	1	2	2

Power Play Defence
Line #	Defence	Defence	Time %	PHY	DF	OF
1	Matt Irwin	Chad Ruhwedel	50	1	2	2
2	Kaedan Korczak	Jordie Benn	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jujhar Khaira	Andreas Johnsson	50	1	2	2
2	Alex Chiasson	Mark Jankowski	50	1	2	2

Penalty Kill 4 Players Defence
Line #	Defence	Defence	Time %	PHY	DF	OF
1	Matt Irwin	Chad Ruhwedel	50	1	2	2
2	Kaedan Korczak	Jordie Benn	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defence	Defence	Time %	PHY	DF	OF
1	Jujhar Khaira	50	1	2	2	Matt Irwin	Chad Ruhwedel	50	1	2	2
2	Andreas Johnsson	50	1	2	2	Kaedan Korczak	Jordie Benn	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jujhar Khaira	Andreas Johnsson	50	1	2	2
2	Alex Chiasson	Mark Jankowski	50	1	2	2

4 vs 4 Defence
Line #	Defence	Defence	Time %	PHY	DF	OF
1	Matt Irwin	Chad Ruhwedel	50	1	2	2
2	Kaedan Korczak	Jordie Benn	50	1	2	2

Last Minute Offensive
Left Wing	Center	Right Wing	Defence	Defence
Jujhar Khaira	Mark Jankowski	Andreas Johnsson	Matt Irwin	Chad Ruhwedel

Last Minute Defensive
Left Wing	Center	Right Wing	Defence	Defence
Jujhar Khaira	Mark Jankowski	Andreas Johnsson	Matt Irwin	Chad Ruhwedel

Extra Forwards
Normal	PowerPlay	Penalty Kill
Devin Shore, Zac Dalpe, Alex Galchenyuk	Devin Shore, Zac Dalpe	Alex Galchenyuk

Extra Defencemen
Normal	PowerPlay	Penalty Kill
Alex Alexeyev, Kurtis MacDermid, Kyle Capobianco	Alex Alexeyev	Kurtis MacDermid, Kyle Capobianco

Penalty Shots
Jujhar Khaira, Andreas Johnsson, Alex Chiasson, Mark Jankowski, Justin Dowling

Goalie
#1 : Pheonix Copley, #2 : Jesper Wallstedt

Custom OT Lines Forwards
Jujhar Khaira, Andreas Johnsson, Alex Chiasson, Mark Jankowski, Justin Dowling, Ross Johnston, Ross Johnston, Kurtis MacDermid, Devin Shore, Zac Dalpe, Alex Galchenyuk

Custom OT Lines Defencemen
Matt Irwin, Chad Ruhwedel, Kaedan Korczak, Jordie Benn, Alex Alexeyev

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	0	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0.00%	0	0	0.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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	Visiting Team	Score	Home Team	Score	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	3500	1500
Ticket Price	50	25
Attendance	0.00%	0.00%
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
41	0 - 0.00%	0$	0$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	0$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Wolves

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	PSS
1	Janne Kuokkanen	164	153	177	330	187	22	254	275	556	27.52%	149	3601	21.96	22	30	52	74	6	1	7	22	12	7	50.50%	19	1.83	5
2	Peyton Krebs	164	104	189	293	176	148	236	143	439	23.69%	68	2960	18.05	8	26	34	48	0	1	1	4	15	1	55.17%	6	1.98	3
3	Mikhail Grigorenko	82	133	122	255	155	8	81	86	331	40.18%	47	1648	20.10	21	20	41	50	1	1	2	2	20	5	25.61%	18	3.09	2
4	Nick Caamano	164	110	143	253	160	58	235	165	422	26.07%	65	2837	17.30	15	7	22	43	4	1	5	11	13	2	26.98%	11	1.78	0
5	Anthony Angello	164	75	116	191	159	40	142	193	359	20.89%	41	2867	17.49	7	15	22	39	0	1	1	3	14	2	38.45%	6	1.33	0

Wolves

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	PS %	PSA
1	Ville Husso	82	65	15	2	0.876	3.30	4926	0	16	271	2182	1133	16	1.000	6
2	Kirill Ustimenko	82	50	23	8	0.912	2.91	4928	17	1	239	2707	1468	6	0.722	18
3	Michael Hutchinson	1	1	0	0	0.833	6.67	18	0	0	2	12	9	0	0.000	0

Wolves

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
2021	82	62	15	0	1	2	2	0	552	271	281	41	32	8	0	0	1	0	0	312	135	177	41	30	7	0	1	1	2	0	240	136	104	132	552	897	1449	0	16	0	189	173	187	2054	0	591	654	803	2182	834	1704	1045	196	71	36.22%	212	46	78.30%	14	526	1110	47.39%	691	1472	46.94%	646	1430	45.17%	1711	1122	2007	617	1213	607
2022	82	46	23	0	4	6	1	2	306	243	63	41	29	9	0	2	1	0	0	165	108	57	41	17	14	0	2	5	1	2	141	135	6	110	306	535	841	0	1	106	86	109	7	2665	935	828	880	40	2719	1019	331	1672	154	32	20.78%	158	36	77.22%	2	624	1296	48.15%	754	1607	46.92%	538	1089	49.40%	1787	1108	1799	669	1362	683
Total Regular Season	164	108	38	0	5	8	3	2	858	514	344	82	61	17	0	2	2	0	0	477	243	234	82	47	21	0	3	6	3	2	381	271	110	242	858	1432	2290	0	17	106	275	282	194	4719	935	1419	1534	843	4901	1853	2035	2717	350	103	29.43%	370	82	77.84%	16	1150	2406	47.80%	1445	3079	46.93%	1184	2519	47.00%	3499	2230	3806	1286	2576	1291
Playoff
2021	4	0	4	0	0	0	0	0	24	57	-33	2	0	2	0	0	0	0	0	14	35	-21	2	0	2	0	0	0	0	0	10	22	-12	0	24	39	63	0	0	0	14	2	8	118	0	43	21	54	120	40	80	51	13	3	23.08%	10	6	40.00%	1	35	71	49.30%	15	42	35.71%	53	115	46.09%	96	66	79	29	64	29
2022	5	1	4	0	0	0	0	0	16	22	-6	3	1	2	0	0	0	0	0	8	11	-3	2	0	2	0	0	0	0	0	8	11	-3	2	16	27	43	0	0	6	6	4	0	157	57	56	44	0	170	73	14	99	10	1	10.00%	7	3	57.14%	0	19	69	27.54%	44	101	43.56%	25	66	37.88%	94	57	122	42	82	40
Total Playoff	9	1	8	0	0	0	0	0	40	79	-39	5	1	4	0	0	0	0	0	22	46	-24	4	0	4	0	0	0	0	0	18	33	-15	2	40	66	106	0	0	6	20	6	8	275	57	99	65	54	290	113	94	150	23	4	17.39%	17	9	47.06%	1	54	140	38.57%	59	143	41.26%	78	181	43.09%	191	123	202	72	146	69

Wolves

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKA	PKP	GW	FO%	HT	P/20
1	Janne Kuokkanen	9	13	8	21	-15	0	19	19	53	24.53%	5	205	22.83	2	1	3	10	1	1	1	41.30%	2	2.04
2	Mikhail Grigorenko	4	4	11	15	-11	0	10	8	14	28.57%	6	83	20.94	1	2	3	1	0	0	0	0.00%	0	3.58
3	Peyton Krebs	9	4	7	11	-9	26	4	12	14	28.57%	6	160	17.79	0	0	0	0	0	0	0	60.29%	1	1.37
4	Nick Caamano	9	3	7	10	-10	0	16	11	34	8.82%	7	157	17.48	0	0	0	3	0	0	0	21.43%	0	1.27
5	Martin Pospisil	9	2	5	7	-10	26	9	11	28	7.14%	6	151	16.78	0	0	0	0	0	0	0	37.50%	0	0.93

Wolves

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Kirill Ustimenko	5	1	4	0	0.871	4.42	299	0	0	22	170	92	0	0	0.000	0
2	Veini Vehvilainen	4	0	1	0	0.216	20.96	83	0	0	29	37	6	0	0	0.000	0

Back to the Top