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

Game Center
	Wolves 3-4-0, 6pts	5	FINAL	2	IceHogs 5-7-0, 10pts

Team Stats
L1	Streak	L2
2-2-0	Home Record	3-2-0
1-2-0	Away Record	2-5-0
3-3-1	Last 10 Games	4-5-1
3.43	Goals Per Game	3.25
4.14	Goals Against Per Game	3.58
17.65%	Power Play Percentage	22.22%
77.78%	Penalty Kill Percentage	73.33%

IceHogs
5-7-0, 10pts

FINAL

Wolves
3-4-0, 6pts

Team Stats
L2	Streak	L1
3-2-0	Home Record	2-2-0
2-5-0	Away Record	1-2-0
4-5-1	Last 10 Games	3-3-1
3.25	Goals Per Game	3.43
3.58	Goals Against Per Game	4.14
22.22%	Power Play Percentage	17.65%
73.33%	Penalty Kill Percentage	77.78%

Team Leaders




	Wins Michael Hutchinson 3	Save Percentage Cole Kehler 0.938

Team Stats
Goals For 24 3.43 GFG	Shots For 235 33.57 Avg	Power Play Percentage 17.6% 3 GF	Offensive Zone Start 39.5%
Goals Against 29 4.14 GAA	Shots Against 266 38.00 Avg	Penalty Kill Percentage 77.8% 6 GA	Defensive Zone Start 41.3%

Team Info
	General Manager	Yves Ayotte
	Coach	John Wroblewski
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	30
	Farm Team	18
	Contract Limit	48 / 80
	Prospects	50
Team History
	This Season	3-4
	History	47-28-7 (0.573%)
	Playoff Appearances	0
	Playoff Record (W-L)	3-4
	Stanley Cup	0

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	Mathieu Olivier	0			X		100.00	86	89	56	63	83	79	84	62	56	61	63	59	62	67	69	0	75	64	0	24	2	1,499,000$
2	Michael Chaput	0	X				100.00	73	39	74	63	80	74	76	62	73	61	62	64	63	77	69	0	75	64	0	29	3	1,499,000$
3	Boris Katchouk	0		X			100.00	71	46	80	63	80	82	87	63	69	64	62	65	63	64	66	0	75	64	0	23	1	875,000$
4	Filip Chlapik	0	X	X			100.00	87	36	90	62	79	66	71	64	72	62	61	63	64	67	65	0	75	64	0	24	3	985,700$
5	Nicholas Merkley	0			X		100.00	78	35	91	62	69	82	78	65	63	68	62	55	66	67	64	0	75	64	0	24	3	1,223,000$
6	Darren Archibald	0		X			100.00	76	38	89	61	85	77	81	58	62	57	60	59	56	79	70	0	75	63	0	31	2	1,499,000$
7	Sampo Ranta (R)	0		X			100.00	66	35	93	63	79	80	77	62	56	59	64	57	63	61	65	0	75	63	0	21	3	925,000$
8	Jeffrey Truchon-Viel	0		X			100.00	80	77	53	62	74	70	74	63	58	61	62	58	62	67	64	0	75	62	0	24	1	750,000$
9	Michael Carcone	0		X			100.00	63	39	75	61	63	85	90	59	60	58	64	56	62	69	65	0	75	61	0	25	1	700,000$
10	Nick Schilkey	0			X		100.00	56	39	85	60	65	81	84	62	59	61	58	56	62	73	67	0	75	61	0	27	2	700,000$
11	Antoine Morand	0	X				100.00	57	46	78	60	69	86	91	59	68	58	56	54	61	64	63	0	75	60	0	22	2	925,000$
12	Jakub Lauko	0	X				100.00	59	56	67	60	68	65	70	60	76	62	59	61	60	62	63	0	75	60	0	21	2	925,000$
13	Adam Boqvist	0				X	100.00	66	35	92	74	68	83	76	72	30	68	61	63	55	62	64	0	75	66	0	21	2	925,000$
14	Matt Irwin	0				X	100.00	87	39	82	60	78	82	77	62	30	66	55	71	49	84	74	0	75	65	0	34	2	1,499,000$
15	Mark Barberio	0				X	100.00	59	39	76	61	77	80	75	63	30	66	57	67	48	79	74	0	75	63	0	31	3	1,499,000$
16	Eric Knodel	0				X	100.00	87	35	93	57	96	72	75	57	30	63	50	63	46	79	71	0	75	63	0	31	2	1,499,000$
17	Brennan Menell	0				X	100.00	53	38	87	61	68	84	80	63	30	65	57	62	51	67	62	0	75	62	0	24	3	750,000$
18	Matt Bartkowski	0				X	100.00	58	35	95	60	78	78	74	58	30	60	56	64	49	82	73	0	75	62	0	33	3	1,499,000$
Scratches
1	Gage Quinney	0	X	X			100.00	55	35	95	65	72	71	72	64	75	65	64	63	67	71	66	0	75	64	0	26	3	1,499,000$
2	Evan Weinger	0			X		100.00	64	43	83	57	73	82	87	56	59	57	58	55	56	67	64	0	75	60	0	24	2	1,499,000$
3	Jonathan Gruden (R)	0		X			100.00	59	39	86	60	69	78	83	57	60	59	58	56	59	61	63	0	75	60	0	21	3	925,000$
4	Alex Gallant	0	X	X			100.00	79	86	55	54	71	77	74	53	55	52	54	53	55	77	69	0	75	58	0	29	1	750,000$
5	Tim McGauley	0	X		X		100.00	63	35	92	54	72	70	67	53	62	51	56	55	54	71	66	0	75	58	0	26	1	750,000$
6	Matej Pekar (R)	0		X			100.00	65	36	54	59	74	71	76	58	55	56	53	54	58	61	63	0	75	58	0	21	3	925,000$
7	Austin Strand	0				X	100.00	64	46	80	62	87	75	72	63	30	61	57	65	54	67	64	0	75	62	0	24	2	800,000$
8	Markus Phillips (R)	0				X	100.00	66	42	85	56	75	77	82	55	30	57	54	58	47	63	62	0	75	59	0	22	3	925,000$
9	Layton Ahac (R)	0				X	100.00	69	38	88	52	78	60	65	52	30	54	50	55	45	60	60	0	75	57	0	20	3	925,000$

	TEAM AVERAGE					100.00	68	44	81	60	75	77	78	60	52	60	58	60	57	69	66	0	75	62

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	Michael Hutchinson	100.00	80	84	89	83	79	78	80	79	78	80	79	80	86	0	75	69	0	31	3	900,000$
2	Cole Kehler	100.00	71	77	75	87	70	69	71	70	69	71	70	67	71	0	75	64	0	24	2	1,499,000$
Scratches
1	Erik Kallgren	100.00	72	66	64	83	71	70	72	71	70	72	71	69	73	0	75	64	0	25	2	1,499,000$

	TEAM AVERAGE	100.00	74	76	76	84	73	72	74	73	72	74	73	72	77	0	75	66

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Wroblewski	62	60	72	73	60	57	86	USA	39	4	900,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	S1	S2	S3
1	Boris Katchouk	Wolves (CAR)	LW	7	2	5	7	2	0	7	10	33	11	21	6.06%	2	172	24.64	0	1	1	7	16	1	30	0	0	56.25%	16	0	0.81	0	0	0
2	Nicholas Merkley	Wolves (CAR)	RW	7	3	4	7	-1	2	10	5	20	5	7	15.00%	2	142	20.40	1	0	1	4	17	0	0	0	0	25.00%	12	0	0.98	0	1	0
3	Eric Knodel	Wolves (CAR)	D	7	2	4	6	-5	12	16	7	7	6	6	28.57%	9	152	21.85	0	2	2	3	13	0	19	0	0	0.00%	0	0	0.78	0	0	1
4	Mark Barberio	Wolves (CAR)	D	7	0	5	5	-5	2	8	6	13	5	8	0.00%	19	176	25.21	0	1	1	5	13	0	27	0	0	0.00%	0	0	0.57	0	1	0
5	Michael Chaput	Wolves (CAR)	C	7	3	2	5	2	0	9	26	18	4	24	16.67%	0	170	24.38	0	0	0	3	16	0	29	0	1	46.84%	269	0	0.59	1	0	0
6	Mathieu Olivier	Wolves (CAR)	RW	7	2	2	4	1	14	34	6	19	5	15	10.53%	1	143	20.52	1	1	2	6	12	0	10	0	0	100.00%	2	0	0.56	0	0	0
7	Antoine Morand	Wolves (CAR)	C	7	0	4	4	-3	4	9	12	10	5	7	0.00%	2	108	15.49	0	1	1	2	13	0	0	0	0	49.32%	146	0	0.74	0	0	0
8	Matt Irwin	Wolves (CAR)	D	7	0	4	4	0	2	27	9	10	4	8	0.00%	17	177	25.36	0	0	0	2	16	0	26	0	0	0.00%	0	0	0.45	0	1	1
9	Sampo Ranta	Wolves (CAR)	LW	7	4	0	4	-1	0	0	7	17	3	13	23.53%	1	123	17.61	0	0	0	0	0	0	0	1	0	20.00%	5	1	0.65	1	0	0
10	Jeffrey Truchon-Viel	Wolves (CAR)	LW	7	2	1	3	0	10	11	3	7	0	2	28.57%	0	43	6.16	0	0	0	0	0	0	2	0	0	60.00%	5	0	1.39	0	0	0
11	Adam Boqvist	Wolves (CAR)	D	7	1	2	3	0	0	6	10	15	9	11	6.67%	11	157	22.47	0	0	0	5	16	0	4	1	0	0.00%	0	0	0.38	0	0	1
12	Austin Strand	Wolves (CAR)	D	3	1	2	3	3	0	8	3	7	1	3	14.29%	1	62	20.98	0	0	0	0	0	0	7	0	0	0.00%	0	0	0.95	0	0	0
13	Matt Bartkowski	Wolves (CAR)	D	7	1	2	3	2	2	9	4	5	3	1	20.00%	5	113	16.24	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.53	0	0	0
14	Filip Chlapik	Wolves (CAR)	C/LW	6	0	3	3	0	2	15	13	11	3	12	0.00%	2	101	16.87	0	0	0	0	0	0	0	0	0	54.31%	116	0	0.59	0	0	1
15	Jakub Lauko	Wolves (CAR)	C	7	1	1	2	-1	0	3	14	7	3	8	14.29%	0	70	10.14	0	0	0	0	0	0	16	0	0	53.25%	77	0	0.56	0	0	0
16	Michael Carcone	Wolves (CAR)	LW	7	1	1	2	0	2	1	7	8	0	11	12.50%	0	52	7.54	1	0	1	5	13	0	0	1	0	37.50%	16	0	0.76	0	0	0
17	Darren Archibald	Wolves (CAR)	LW	7	1	1	2	-3	2	11	3	14	7	7	7.14%	2	104	14.90	0	0	0	0	0	1	8	0	0	36.36%	11	0	0.38	0	1	0
18	Nick Schilkey	Wolves (CAR)	RW	7	0	2	2	-3	0	1	4	12	1	20	0.00%	0	95	13.58	0	0	0	0	0	0	0	0	0	33.33%	3	0	0.42	0	0	0
19	Evan Weinger	Wolves (CAR)	RW	1	0	0	0	0	0	1	0	0	1	0	0.00%	0	8	8.87	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0
20	Brennan Menell	Wolves (CAR)	D	4	0	0	0	-1	4	6	4	2	1	1	0.00%	8	84	21.24	0	0	0	0	0	0	13	0	0	0.00%	0	0	0.00	0	0	0
Team Total or Average				126	24	45	69	-13	58	192	153	235	77	185	10.21%	82	2263	17.96	3	6	9	42	152	2	198	3	1	48.82%	678	1	0.61	2	4	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	GA	SA	A	ST	BG	S1
1	Michael Hutchinson	Wolves (CAR)	7	3	3	1	0.888	3.79	443	4	28	250	1	7	0	1
2	Cole Kehler	Wolves (CAR)	1	0	0	0	0.938	3.00	20	0	1	16	0	0	7	0
Team Total or Average			8	3	3	1	0.891	3.76	463	4	29	266	1	7	7	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	Current Salary	Salary Average	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Adam Boqvist	Wolves (CAR)	D	21	8/15/2000	No	179 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link / NHL Link
Alex Gallant	Wolves (CAR)	C/LW	29	12/8/1992	No	177 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Antoine Morand	Wolves (CAR)	C	22	2/18/1999	No	184 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link / NHL Link
Austin Strand	Wolves (CAR)	D	24	2/17/1997	No	216 Lbs	6 ft3	No	No	No	2	Pro & Farm	800,000$	831,250$	0$	0$	No	800,000$		Link / NHL Link
Boris Katchouk	Wolves (CAR)	LW	23	6/18/1998	No	199 Lbs	6 ft2	No	No	No	1	Pro & Farm	875,000$	875,000$	0$	0$	No			Link / NHL Link
Brennan Menell	Wolves (CAR)	D	24	5/24/1997	No	177 Lbs	5 ft11	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Cole Kehler	Wolves (CAR)	G	24	12/17/1997	No	205 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$		Link / NHL Link
Darren Archibald	Wolves (CAR)	LW	31	2/9/1990	No	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$		Link / NHL Link
Eric Knodel	Wolves (CAR)	D	31	6/8/1990	No	216 Lbs	6 ft6	No	No	No	2	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$		Link / NHL Link
Erik Kallgren	Wolves (CAR)	G	25	10/14/1996	No	198 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$		Link / NHL Link
Evan Weinger	Wolves (CAR)	RW	24	4/18/1997	No	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$		Link / NHL Link
Filip Chlapik	Wolves (CAR)	C/LW	24	6/3/1997	No	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	985,700$	985,700$	0$	0$	No	985,700$	985,700$	Link / NHL Link
Gage Quinney	Wolves (CAR)	C/LW	26	7/29/1995	No	200 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$	1,499,000$	Link / NHL Link
Jakub Lauko	Wolves (CAR)	C	21	3/28/2000	No	169 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link / NHL Link
Jeffrey Truchon-Viel	Wolves (CAR)	LW	24	1/28/1997	No	197 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Jonathan Gruden	Wolves (CAR)	LW	21	5/4/2000	Yes	172 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$		0$	0$	No	925,000$	925,000$
Layton Ahac	Wolves (CAR)	D	20	2/22/2001	Yes	188 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	550,000$	0$	0$	No	925,000$	925,000$
Mark Barberio	Wolves (CAR)	D	31	3/23/1990	No	200 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$	1,499,000$	Link / NHL Link
Markus Phillips	Wolves (CAR)	D	22	3/21/1999	Yes	202 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	550,000$	0$	0$	No	925,000$	925,000$
Matej Pekar	Wolves (CAR)	LW	21	2/10/2000	Yes	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	550,000$	0$	0$	No	925,000$	925,000$
Mathieu Olivier	Wolves (CAR)	RW	24	2/11/1997	No	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$		Link / NHL Link
Matt Bartkowski	Wolves (CAR)	D	33	6/4/1988	No	201 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$	1,499,000$	Link / NHL Link
Matt Irwin	Wolves (CAR)	D	34	11/29/1987	No	189 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$		Link / NHL Link
Michael Carcone	Wolves (CAR)	LW	25	5/19/1996	No	170 Lbs	5 ft9	No	No	No	1	Pro & Farm	700,000$	733,333$	0$	0$	No			Link / NHL Link
Michael Chaput	Wolves (CAR)	C	29	4/9/1992	No	199 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,499,000$	1,499,000$	0$	0$	No	1,499,000$	1,499,000$	Link / NHL Link
Michael Hutchinson	Wolves (CAR)	G	31	3/2/1990	No	198 Lbs	6 ft3	No	No	No	3	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$	900,000$	Link / NHL Link
Nicholas Merkley	Wolves (CAR)	RW	24	5/23/1997	No	194 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,223,000$	1,223,000$	0$	0$	No	1,223,000$	1,223,000$	Link / NHL Link
Nick Schilkey	Wolves (CAR)	RW	27	5/12/1994	No	173 Lbs	5 ft10	No	No	No	2	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$		Link / NHL Link
Sampo Ranta	Wolves (CAR)	LW	21	5/31/2000	Yes	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	550,000$	0$	0$	No	925,000$	925,000$
Tim McGauley	Wolves (CAR)	C/RW	26	7/23/1995	No	172 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	25.40	192 Lbs	6 ft1	2.27	1,102,423$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Boris Katchouk	Michael Chaput	Mathieu Olivier	34	0	1	4
2	Sampo Ranta	Filip Chlapik	Nicholas Merkley	34	0	2	3
3	Darren Archibald	Antoine Morand	Nick Schilkey	24	1	2	2
4	Jeffrey Truchon-Viel	Jakub Lauko	Michael Carcone	8	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Adam Boqvist	Matt Irwin	34	0	2	3
2	Eric Knodel	Mark Barberio	32	1	2	2
3	Matt Bartkowski	Brennan Menell	26	1	2	2
4	Mark Barberio	Brennan Menell	8	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Boris Katchouk	Michael Chaput	Nicholas Merkley	60	0	0	5
2	Mathieu Olivier	Antoine Morand	Michael Carcone	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Irwin	Adam Boqvist	60	0	0	5
2	Mark Barberio	Eric Knodel	40	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Michael Chaput	Boris Katchouk	60	0	5	0
2	Jakub Lauko	Mathieu Olivier	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Irwin	Mark Barberio	60	0	5	0
2	Eric Knodel	Brennan Menell	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Michael Chaput	60	1	2	2	Matt Irwin	Mark Barberio	60	1	2	2
2	Jakub Lauko	40	1	2	2	Brennan Menell	Eric Knodel	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Michael Chaput	Boris Katchouk	60	0	1	4
2	Jakub Lauko	Nicholas Merkley	40	0	1	4

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Adam Boqvist	Matt Irwin	60	0	2	3
2	Mark Barberio	Eric Knodel	40	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Boris Katchouk	Michael Chaput	Nicholas Merkley	Adam Boqvist	Matt Irwin

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Boris Katchouk	Michael Chaput	Mathieu Olivier	Mark Barberio	Matt Irwin

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jeffrey Truchon-Viel, Nicholas Merkley, Darren Archibald	Jeffrey Truchon-Viel, Nicholas Merkley	Darren Archibald

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Mark Barberio, Eric Knodel, Brennan Menell	Brennan Menell	Eric Knodel, Mark Barberio

Penalty Shots
Michael Chaput, Nicholas Merkley, Jakub Lauko, Sampo Ranta, Antoine Morand

Goalie
#1 : Michael Hutchinson, #2 : Cole Kehler

Custom OT Lines Forwards
Nicholas Merkley, Jakub Lauko, Michael Carcone, Michael Chaput, Antoine Morand, Boris Katchouk, Boris Katchouk, Darren Archibald, Sampo Ranta, Jeffrey Truchon-Viel, Nick Schilkey

Custom OT Lines Defensemen
Eric Knodel, Matt Irwin, Mark Barberio, Brennan Menell, Adam Boqvist

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	IceHogs	7	3	4	0	0	0	0	0	24	29	-5	4	2	2	0	0	0	0	0	11	17	-6	3	1	2	0	0	0	0	0	13	12	1	6	0.429	24	45	69	0	0	6	11	5	2	235	66	58	79	32	266	82	62	192	17	3	17.65%	27	6	77.78%	0	141	268	52.61%	136	280	48.57%	54	130	41.54%	181	124	183	56	99	48
	Total	7	3	4	0	0	0	0	0	24	29	-5	4	2	2	0	0	0	0	0	11	17	-6	3	1	2	0	0	0	0	0	13	12	1	6	0.429	24	45	69	0	0	6	11	5	2	235	66	58	79	32	266	82	62	192	17	3	17.65%	27	6	77.78%	0	141	268	52.61%	136	280	48.57%	54	130	41.54%	181	124	183	56	99	48
	_Since Last GM Reset	7	3	4	0	0	0	0	0	24	29	-5	4	2	2	0	0	0	0	0	11	17	-6	3	1	2	0	0	0	0	0	13	12	1	6	0.429	24	45	69	0	0	6	11	5	2	235	66	58	79	32	266	82	62	192	17	3	17.65%	27	6	77.78%	0	141	268	52.61%	136	280	48.57%	54	130	41.54%	181	124	183	56	99	48
	_Vs Conference	7	3	4	0	0	0	0	0	24	29	-5	4	2	2	0	0	0	0	0	11	17	-6	3	1	2	0	0	0	0	0	13	12	1	6	0.429	24	45	69	0	0	6	11	5	2	235	66	58	79	32	266	82	62	192	17	3	17.65%	27	6	77.78%	0	141	268	52.61%	136	280	48.57%	54	130	41.54%	181	124	183	56	99	48
	_Vs Division	7	3	4	0	0	0	0	0	24	29	-5	4	2	2	0	0	0	0	0	11	17	-6	3	1	2	0	0	0	0	0	13	12	1	6	0.429	24	45	69	0	0	6	11	5	2	235	66	58	79	32	266	82	62	192	17	3	17.65%	27	6	77.78%	0	141	268	52.61%	136	280	48.57%	54	130	41.54%	181	124	183	56	99	48

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
7	6	L1	24	45	69	235	266	82	62	192	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	24	29

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	11	17

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	13	12

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	3	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
17	3	17.65%	27	6	77.78%	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
66	58	79	32	6	11	5	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
141	268	52.61%	136	280	48.57%	54	130	41.54%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
181	124	183	56	99	48

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	Link
2 - 2022-04-13	6	IceHogs	2	Wolves	3	BW	X	BoxScore
4 - 2022-04-15	14	IceHogs	5	Wolves	3	BL		BoxScore
6 - 2022-04-17	22	Wolves	3	IceHogs	4	AL		BoxScore
8 - 2022-04-19	30	Wolves	5	IceHogs	6	AL	X	BoxScore
10 - 2022-04-21	38	IceHogs	3	Wolves	4	BW	X	BoxScore
12 - 2022-04-23	46	Wolves	5	IceHogs	2	AW		BoxScore
14 - 2022-04-25	54	IceHogs	7	Wolves	1	BL		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	25	15
Attendance	8,000	4,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
37	3000 - 100.00%	81,250$	325,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	3,307,270$	3,071,228$	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 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	PKP	PKS	GW	GT	FO%	P/20	PSG	PSS
1	Gage Quinney	82	25	47	72	3	5	16	237	281	8.90%	13	1619	19.75	5	18	23	60	0	0	3	11	2	55.66%	0.89	1	3
2	Mark Barberio	78	14	52	66	8	43	89	113	127	11.02%	122	1741	22.33	9	10	19	62	0	0	3	2	0	0.00%	0.76	0	0
3	Adam Boqvist	77	17	47	64	-10	18	63	161	197	8.63%	74	1659	21.55	9	13	22	113	0	0	0	2	0	0.00%	0.77	0	0
4	Boris Katchouk	82	33	29	62	5	21	130	131	303	10.89%	27	1781	21.73	10	9	19	50	1	1	9	2	1	55.24%	0.70	0	0
5	Nicholas Merkley	78	22	34	56	16	26	156	99	232	9.48%	5	1460	18.73	2	10	12	38	0	0	0	5	1	51.85%	0.77	1	2

Wolves Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Michael Hutchinson	76	43	26	7	0.907	3.14	4548	10	2	238	2564	0	2	2	0.900	10
2	Erik Kallgren	8	4	2	0	0.928	2.77	412	0	0	19	265	0	0	0	0.000	0

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
23	82	39	28	0	6	6	2	1	289	260	29	41	20	15	0	3	1	1	1	139	125	14	41	19	13	0	3	5	1	0	150	135	15	101	289	508	797	2	2	96	103	82	8	3001	969	1044	953	44	2831	801	605	1989	268	57	21.27%	244	39	84.02%	1	1752	3104	56.44%	1591	2933	54.24%	732	1342	54.55%	2072	1458	1843	581	1050	533
Total Regular Season	82	39	28	0	6	6	2	1	289	260	29	41	20	15	0	3	1	1	1	139	125	14	41	19	13	0	3	5	1	0	150	135	15	101	289	508	797	2	2	96	103	82	8	3001	969	1044	953	44	2831	801	605	1989	268	57	21.27%	244	39	84.02%	1	1752	3104	56.44%	1591	2933	54.24%	732	1342	54.55%	2072	1458	1843	581	1050	533
23	7	3	4	0	0	0	0	0	24	29	-5	4	2	2	0	0	0	0	0	11	17	-6	3	1	2	0	0	0	0	0	13	12	1	6	24	45	69	0	0	6	11	5	2	235	66	58	79	32	266	82	62	192	17	3	17.65%	27	6	77.78%	0	141	268	52.61%	136	280	48.57%	54	130	41.54%	181	124	183	56	99	48
Total Playoff	7	3	4	0	0	0	0	0	24	29	-5	4	2	2	0	0	0	0	0	11	17	-6	3	1	2	0	0	0	0	0	13	12	1	6	24	45	69	0	0	6	11	5	2	235	66	58	79	32	266	82	62	192	17	3	17.65%	27	6	77.78%	0	141	268	52.61%	136	280	48.57%	54	130	41.54%	181	124	183	56	99	48

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	PKS	GT	FO%	P/20
1	Boris Katchouk	7	2	5	7	2	0	7	10	33	6.06%	2	172	24.64	0	1	1	7	1	0	56.25%	0.81
2	Nicholas Merkley	7	3	4	7	-1	2	10	5	20	15.00%	2	142	20.40	1	0	1	4	0	0	25.00%	0.98
3	Eric Knodel	7	2	4	6	-5	12	16	7	7	28.57%	9	152	21.85	0	2	2	3	0	0	0.00%	0.78
4	Michael Chaput	7	3	2	5	2	0	9	26	18	16.67%	0	170	24.38	0	0	0	3	0	1	46.84%	0.59
5	Mark Barberio	7	0	5	5	-5	2	8	6	13	0.00%	19	176	25.21	0	1	1	5	0	0	0.00%	0.57

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	PS %	PSA
1	Michael Hutchinson	7	3	3	1	0.888	3.79	443	4	0	28	250	0	1	0	0.000	0
2	Cole Kehler	1	0	0	0	0.938	3.00	20	0	0	1	16	0	0	0	0.000	0

	Wolves
	GP: 7 \| W: 3 \| L: 4 GF: 24 \| GA: 29 \| PP%: 17.65% \| PK%: 77.78% GM : Yves Ayotte \| Morale : 75 \| Team Overall : 62