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

Game Center
	Wolves 4-0-0, 8pts	6	FINAL	2	Wild 0-4-0, 0pts

Team Stats
OTW1	Streak	OTL1
2-0-0	Home Record	0-2-0
2-0-0	Home Record	0-2-0
4-0-0	Last 10 Games	0-3-1
4.25	Goals Per Game	2.00
2.00	Goals Against Per Game	4.25
5.00%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	95.00%

Wolves
4-0-0, 8pts

FINAL

Wild
0-4-0, 0pts

Team Stats
OTW1	Streak	OTL1
2-0-0	Home Record	0-2-0
2-0-0	Home Record	0-2-0
4-0-0	Last 10 Games	0-3-1
4.25	Goals Per Game	2.00
2.00	Goals Against Per Game	4.25
5.00%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	95.00%

Icehogs
4-2-0, 8pts

2024-05-03

Wolves
4-0-0, 8pts

Team Stats
W2	Streak	OTW1
3-0-0	Home Record	2-0-0
1-2-0	Away Record	2-0-0
4-2-0	Last 10 Games	4-0-0
3.33	Goals Per Game	4.25
2.33	Goals Against Per Game	4.25
20.00%	Power Play Percentage	5.00%
75.00%	Penalty Kill Percentage	100.00%

Icehogs
4-2-0, 8pts

2024-05-05

Wolves
4-0-0, 8pts

Team Stats
W2	Streak	OTW1
3-0-0	Home Record	2-0-0
1-2-0	Away Record	2-0-0
4-2-0	Last 10 Games	4-0-0
3.33	Goals Per Game	4.25
2.33	Goals Against Per Game	4.25
20.00%	Power Play Percentage	5.00%
75.00%	Penalty Kill Percentage	100.00%

Wolves
4-0-0, 8pts

2024-05-07

Icehogs
4-2-0, 8pts

Team Stats
OTW1	Streak	W2
2-0-0	Home Record	3-0-0
2-0-0	Away Record	1-2-0
4-0-0	Last 10 Games	4-2-0
4.25	Goals Per Game	3.33
2.00	Goals Against Per Game	3.33
5.00%	Power Play Percentage	20.00%
100.00%	Penalty Kill Percentage	75.00%

Team Leaders
	Goals Ty Rattie 5	Assists Chris Tierney 4

	Points Ty Rattie 6	Plus/Minus Jake Livingstone 8

	Wins Ivan Prosvetov 4	Save Percentage Ivan Prosvetov 0.952

Team Stats
Goals For 17 4.25 GFG	Shots For 177 44.25 Avg	Power Play Percentage 5.0% 1 GF	Offensive Zone Start 42.2%
Goals Against 8 2.00 GAA	Shots Against 166 41.50 Avg	Penalty Kill Percentage 100.0%% 0 GA	Defensive Zone Start 38.0%

Team Info
	General Manager	Mathieu Lavigne
	Coach	Guy Boucher
	Division	Central
	Conference	Western
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	21
	Contract Limit	45 / 50
	Prospects	42
Team History
	This Season	4-0
	History	222-133-37 (0.566%)
	Playoff Appearances	4
	Playoff Record (W-L)	36-18
	Stanley Cup	2

Show or Hide Columns

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	Chris Tierney	X				100.00	52	38	94	68	76	80	94	65	81	72	65	74	63	80	77	57	95	0	0	29	1	1,200,000$
2	Ilya Usov (R)	X	X			100.00	62	50	85	77	77	80	80	76	75	73	70	71	70	63	63	53	96	0	0	22	2	850,000$
3	Oskar Sundqvist	X		X		100.00	78	44	83	67	85	73	87	64	76	65	64	75	63	77	75	54	67	0	0	29	2	1,875,000$
4	Ty Rattie		X	X		100.00	60	35	95	68	71	74	63	73	52	73	72	71	62	83	79	61	87	0	0	30	2	1,550,000$
5	Eetu Pakkila (R)		X			100.00	57	44	94	79	72	75	75	79	60	74	74	73	68	67	69	51	95	0	0	23	1	750,000$
6	Waltteri Merela (R)			X		100.00	63	57	78	76	81	78	80	79	60	73	73	75	71	67	69	48	77	0	0	25	1	1,000,000$
7	Jan Jenik (R)	X		X		100.00	79	75	59	80	70	84	85	78	70	74	72	72	70	65	67	73	93	0	0	23	1	850,000$
8	Alexander Yaremchuk			X		100.00	63	47	88	77	77	80	75	78	60	73	75	72	75	65	65	50	88	0	0	24	2	1,250,000$
9	Dylan Fabre (R)		X	X		100.00	60	47	87	79	73	80	75	77	60	69	71	72	71	64	64	50	89	0	0	22	3	1,100,000$
10	Maxim Shabanov (R)	X				100.00	58	45	91	81	68	75	75	77	80	73	73	70	73	64	66	50	90	0	0	22	3	1,250,000$
11	Juuso Maenpaa (R)	X				100.00	56	46	89	82	65	75	70	75	75	71	69	71	69	62	63	65	83	0	0	21	3	750,000$
12	Patriks Zabusovs (R)		X	X		100.00	60	59	74	79	73	80	75	76	60	69	71	70	71	63	63	55	93	0	0	22	2	750,000$
13	Adam Wilsby (R)				X	100.00	63	55	81	78	77	80	80	77	30	75	72	75	67	66	70	66	92	0	0	23	1	750,000$
14	Jake Livingstone (R)				X	100.00	69	60	76	77	83	85	85	79	30	71	69	79	67	66	69	48	88	0	0	24	1	1,000,000$
15	Artyom Volchenkov (R)				X	100.00	62	51	83	78	75	85	85	76	30	69	66	77	66	63	63	50	97	0	0	22	3	1,000,000$
16	Inaki Baragano (R)				X	100.00	62	55	78	78	76	85	80	76	30	68	66	77	66	63	65	50	93	0	0	22	3	1,000,000$
17	Isaak Phillips (R)				X	100.00	73	63	69	76	81	83	85	76	30	70	68	77	68	63	64	55	93	0	0	22	3	750,000$
18	Maximilian Glotzl (R)				X	100.00	64	64	68	76	80	85	85	75	30	66	65	75	65	62	67	55	84	0	0	21	3	750,000$
Scratches
1	Kyle Criscuolo	X				100.00	54	35	86	64	70	73	72	71	64	72	71	68	57	75	72	46	26	0	0	31	2	1,200,000$
2	Dennis Cholowski				X	100.00	56	37	92	71	76	82	69	69	30	72	68	66	52	70	72	73	26	0	0	25	2	900,000$
3	Mikko Lehtonen				X	100.00	66	55	80	67	74	74	72	73	30	73	72	70	45	72	70	45	47	0	0	29	2	1,250,000$

	TEAM AVERAGE					100.00	63	51	82	75	75	79	78	75	53	71	70	73	66	68	68	55	81	0

Show or Hide Columns

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	Matthew Galajda	100.00	84	72	83	78	89	88	87	87	86	85	84	70	71	44	96	0	0	25	3	1,250,000$
2	Ivan Prosvetov (R)	100.00	88	77	82	75	93	88	91	88	84	90	82	65	65	69	96	0	0	24	1	750,000$
Scratches
1	Ian Scott (R)	100.00	72	76	75	85	77	75	75	75	75	72	72	66	68	63	28	0	0	24	1	750,000$

	TEAM AVERAGE	100.00	81	75	80	79	86	84	84	83	82	82	79	67	68	59	73	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Guy Boucher	70	72	85	77	78	73	71	CAN	51	2	2,100,000$

Show or Hide Columns

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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Ty Rattie	Wolves (CAR)	LW/RW	4	5	1	6	5	0	0	8	6	12	4	3	41.67%	0	39	9.81	0	0	0	0	1	0	1	2	1	0%	0	0	0	1	3.06	0	0	0	1	1	0
2	Chris Tierney	Wolves (CAR)	C	4	1	4	5	5	0	0	1	10	6	0	2	16.67%	4	50	12.67	0	1	1	0	5	0	6	0	0	54.76%	42	2	1	0	1.97	0	0	0	0	1	0
3	Ilya Usov	Wolves (CAR)	C/LW	4	3	1	4	0	5	5	11	5	17	6	7	17.65%	1	83	20.87	1	0	1	2	14	0	3	1	0	50.00%	4	0	1	0	0.96	0	0	1	1	0	0
4	Jan Jenik	Wolves (CAR)	C/RW	4	2	2	4	-1	4	0	10	7	22	3	16	9.09%	3	88	22.08	0	0	0	4	21	0	0	0	0	44.74%	38	4	1	0	0.91	0	0	0	0	0	2
5	Juuso Maenpaa	Wolves (CAR)	C	4	1	3	4	1	5	5	2	15	11	1	12	9.09%	2	66	16.53	0	0	0	3	10	0	0	0	0	56.70%	97	0	1	0	1.21	0	0	1	0	1	0
6	Waltteri Merela	Wolves (CAR)	RW	4	1	2	3	1	0	0	4	6	5	3	2	20.00%	1	41	10.37	0	0	0	0	0	0	0	1	0	33.33%	3	1	0	0	1.45	0	0	0	0	0	1
7	Alexander Yaremchuk	Wolves (CAR)	RW	4	2	1	3	2	2	0	6	10	16	7	6	12.50%	2	91	22.97	0	0	0	2	24	0	1	0	1	57.14%	7	1	1	0	0.65	0	0	0	0	0	1
8	Dylan Fabre	Wolves (CAR)	LW/RW	4	1	2	3	0	2	0	3	9	11	4	10	9.09%	1	68	17.10	0	0	0	5	21	0	1	0	0	51.85%	27	3	2	0	0.88	0	0	0	0	0	0
9	Patriks Zabusovs	Wolves (CAR)	LW/RW	4	0	3	3	2	0	0	4	0	12	3	2	0%	0	56	14.10	0	1	1	2	16	0	0	0	0	0%	1	0	1	0	1.06	0	0	0	0	0	0
10	Eetu Pakkila	Wolves (CAR)	LW	4	1	1	2	2	0	0	6	7	23	5	14	4.35%	4	96	24.20	0	0	0	5	21	2	5	0	0	40.00%	20	6	4	0	0.41	0	0	0	0	0	0
11	Maxim Shabanov	Wolves (CAR)	C	4	0	2	2	2	0	0	5	12	14	3	13	0%	4	64	16.14	0	0	0	0	0	0	0	0	0	51.14%	88	1	0	0	0.62	0	0	0	0	0	0
12	Maximilian Glotzl	Wolves (CAR)	D	4	0	2	2	2	5	5	7	6	3	2	1	0%	2	49	12.25	0	0	0	0	0	0	0	0	0	0%	0	0	3	0	0.82	0	0	1	0	0	0
13	Adam Wilsby	Wolves (CAR)	D	4	0	1	1	7	0	0	9	16	8	7	3	0%	10	113	28.35	0	0	0	1	14	0	4	0	0	0%	0	4	2	0	0.18	0	0	0	0	0	0
14	Jake Livingstone	Wolves (CAR)	D	4	0	1	1	8	5	5	16	5	7	5	3	0%	5	109	27.42	0	0	0	2	22	0	5	0	0	0%	0	1	2	0	0.18	0	0	1	0	0	0
15	Inaki Baragano	Wolves (CAR)	D	4	0	1	1	2	2	0	5	4	1	0	0	0%	1	50	12.71	0	0	0	0	0	0	0	0	0	0%	0	0	3	0	0.39	0	0	0	0	0	0
16	Oskar Sundqvist	Wolves (CAR)	C/RW	4	0	0	0	5	0	0	6	2	2	0	2	0%	0	38	9.75	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	0	0	0	0	0	0
17	Artyom Volchenkov	Wolves (CAR)	D	4	0	0	0	-1	5	5	1	7	5	1	1	0%	12	68	17.14	0	0	0	0	1	0	5	0	0	0%	0	0	2	0	0	1	0	0	0	0	0
18	Isaak Phillips	Wolves (CAR)	D	4	0	0	0	-2	5	5	11	14	2	4	3	0%	6	94	23.60	0	0	0	0	13	0	4	0	0	0%	0	2	2	0	0	0	1	0	0	0	0
Team Total or Average				72	17	27	44	40	40	30	115	141	177	58	100	9.60%	58	1272	17.67	1	2	3	26	190	2	39	4	2	51.67%	329	25	26	1	0.69	1	1	4	2	3	4

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ivan Prosvetov	Wolves (CAR)	4	4	0	0	0.952	1.88	256	0	0	8	166	72	0	0	0	0	4	0	2	0	0
Team Total or Average			4	4	0	0	0.952	1.88	256	0	0	8	166	72	0	0		0	4	0	2	0	0

Show or Hide Columns

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	Waiver Possible	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Adam Wilsby	Wolves (CAR)	D	23	2000-08-07 14:10:25	Yes	183 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link / NHL Link
Alexander Yaremchuk	Wolves (CAR)	RW	24	1999-08-22 16:05:12	No	192 Lbs	5 ft11	No	No	No	No	2	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$
Artyom Volchenkov	Wolves (CAR)	D	22	2001-05-18 16:24:47	Yes	179 Lbs	6 ft0	No	No	Yes	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$
Chris Tierney	Wolves (CAR)	C	29	1994-07-01	No	195 Lbs	6 ft1	No	No	Yes	No	1	Pro & Farm	1,200,000$	0$	0$	No			Link / NHL Link
Dennis Cholowski	Wolves (CAR)	D	25	1998-02-15	No	195 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$		Link
Dylan Fabre	Wolves (CAR)	LW/RW	22	2000-11-10 14:28:49	Yes	170 Lbs	5 ft10	No	No	No	No	3	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	1,100,000$
Eetu Pakkila	Wolves (CAR)	LW	23	1999-10-03 14:15:21	Yes	167 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link / NHL Link
Ian Scott	Wolves (CAR)	G	24	1999-01-11	Yes	173 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link
Ilya Usov	Wolves (CAR)	C/LW	22	2001-08-03 03:24:01	Yes	181 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	850,000$	0$	0$	No	850,000$
Inaki Baragano	Wolves (CAR)	D	22	2001-09-04 14:52:46	Yes	176 Lbs	5 ft10	No	No	No	No	3	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$
Isaak Phillips	Wolves (CAR)	D	22	2001-09-28 15:54:09	Yes	194 Lbs	6 ft3	No	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Ivan Prosvetov	Wolves (CAR)	G	24	1999-03-05 10:34:34	Yes	195 Lbs	6 ft5	No	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Link / NHL Link
Jake Livingstone	Wolves (CAR)	D	24	1999-04-16 17:58:02	Yes	205 Lbs	6 ft3	No	No	Yes	No	1	Pro & Farm	1,000,000$	0$	0$	No
Jan Jenik	Wolves (CAR)	C/RW	23	2000-09-15 17:14:49	Yes	185 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	850,000$	0$	0$	No			Link / NHL Link
Juuso Maenpaa	Wolves (CAR)	C	21	2002-04-29 15:57:19	Yes	148 Lbs	5 ft7	No	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$
Kyle Criscuolo	Wolves (CAR)	C	31	1992-05-05	No	180 Lbs	5 ft8	No	No	Yes	No	2	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$		Link
Matthew Galajda	Wolves (CAR)	G	25	1997-10-07 14:35:15	No	183 Lbs	6 ft0	No	No	No	No	3	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	1,250,000$
Maxim Shabanov	Wolves (CAR)	C	22	2000-10-08 17:40:08	Yes	157 Lbs	5 ft8	No	No	No	No	3	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	1,250,000$
Maximilian Glotzl	Wolves (CAR)	D	21	2002-03-16 15:55:13	Yes	209 Lbs	6 ft2	No	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$
Mikko Lehtonen	Wolves (CAR)	D	29	1994-01-16 05:04:21	No	196 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$
Oskar Sundqvist	Wolves (CAR)	C/RW	29	1994-03-23	No	209 Lbs	6 ft3	No	No	Yes	No	2	Pro & Farm	1,875,000$	0$	0$	No	1,875,000$		Link / NHL Link
Patriks Zabusovs	Wolves (CAR)	LW/RW	22	2001-06-20 16:00:07	Yes	190 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$
Ty Rattie	Wolves (CAR)	LW/RW	30	1993-02-05	No	183 Lbs	6 ft0	No	No	Yes	No	2	Pro & Farm	1,550,000$	0$	0$	No	1,550,000$		Link / NHL Link
Waltteri Merela	Wolves (CAR)	RW	25	1998-07-06 17:55:58	Yes	196 Lbs	6 ft2	No	No	Yes	No	1	Pro & Farm	1,000,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	24.33	185 Lbs	6 ft0	2.00	1,021,875$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Eetu Pakkila	Maxim Shabanov	Alexander Yaremchuk	36	0	1	4
2	Ilya Usov	Juuso Maenpaa	Jan Jenik	36	0	0	5
3	Patriks Zabusovs	Dylan Fabre	Waltteri Merela	19	0	1	4
4	Ty Rattie	Chris Tierney	Oskar Sundqvist	9	0	3	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Adam Wilsby	Jake Livingstone	40	0	2	3
2	Isaak Phillips	Artyom Volchenkov	30	0	4	1
3	Inaki Baragano	Maximilian Glotzl	20	0	3	2
4	Adam Wilsby	Isaak Phillips	10	1	4	0

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Eetu Pakkila	Jan Jenik	Dylan Fabre	60	0	0	5
2	Ilya Usov	Juuso Maenpaa	Patriks Zabusovs	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Livingstone	Alexander Yaremchuk	60	0	0	5
2	Adam Wilsby	Isaak Phillips	40	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Chris Tierney	Eetu Pakkila	60	0	5	0
2	Alexander Yaremchuk	Dylan Fabre	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Livingstone	Artyom Volchenkov	50	0	5	0
2	Isaak Phillips	Adam Wilsby	50	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Chris Tierney	51	0	5	0	Jake Livingstone	Artyom Volchenkov	50	0	5	0
2	Eetu Pakkila	49	0	5	0	Isaak Phillips	Adam Wilsby	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Maxim Shabanov	Alexander Yaremchuk	60	0	1	4
2	Ilya Usov	Jan Jenik	40	0	0	5

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Livingstone	Adam Wilsby	60	0	3	2
2	Isaak Phillips	Artyom Volchenkov	40	0	4	1

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Eetu Pakkila	Jan Jenik	Alexander Yaremchuk	Jake Livingstone	Adam Wilsby

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Eetu Pakkila	Chris Tierney	Waltteri Merela	Jake Livingstone	Isaak Phillips

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jan Jenik, Eetu Pakkila, Dylan Fabre	Eetu Pakkila, Patriks Zabusovs	Eetu Pakkila

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Isaak Phillips, Artyom Volchenkov, Adam Wilsby	Artyom Volchenkov	Artyom Volchenkov, Isaak Phillips

Penalty Shots
Alexander Yaremchuk, Jan Jenik, Dylan Fabre, Ilya Usov, Eetu Pakkila

Goalie
#1 : Ivan Prosvetov, #2 : Matthew Galajda

Custom OT Lines Forwards
Alexander Yaremchuk, Eetu Pakkila, Maxim Shabanov , Jan Jenik, Ilya Usov, Dylan Fabre, Dylan Fabre, Ty Rattie, Juuso Maenpaa, Waltteri Merela , Patriks Zabusovs

Custom OT Lines Defensemen
Jake Livingstone, Adam Wilsby, Artyom Volchenkov, Isaak Phillips, Inaki Baragano

Show or Hide Columns

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	Wild	4	4	0	0	0	0	0	0	17	8	9	2	2	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	10	5	5	8	1.000	17	27	44	0	0	5	7	4	1	177	63	63	43	8	166	58	40	115	20	1	5.00%	5	0	100.00%	0	73	139	52.52%	64	125	51.20%	33	65	50.77%	96	56	86	37	73	38
	Total	4	4	0	0	0	0	0	0	17	8	9	2	2	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	10	5	5	8	1.000	17	27	44	0	0	5	7	4	1	177	63	63	43	8	166	58	40	115	20	1	5.00%	5	0	100.00%	0	73	139	52.52%	64	125	51.20%	33	65	50.77%	96	56	86	37	73	38
	_Since Last GM Reset	4	4	0	0	0	0	0	0	17	8	9	2	2	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	10	5	5	8	1.000	17	27	44	0	0	5	7	4	1	177	63	63	43	8	166	58	40	115	20	1	5.00%	5	0	100.00%	0	73	139	52.52%	64	125	51.20%	33	65	50.77%	96	56	86	37	73	38
	_Vs Conference	4	4	0	0	0	0	0	0	17	8	9	2	2	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	10	5	5	8	1.000	17	27	44	0	0	5	7	4	1	177	63	63	43	8	166	58	40	115	20	1	5.00%	5	0	100.00%	0	73	139	52.52%	64	125	51.20%	33	65	50.77%	96	56	86	37	73	38
	_Vs Division	4	4	0	0	0	0	0	0	17	8	9	2	2	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	10	5	5	8	1.000	17	27	44	0	0	5	7	4	1	177	63	63	43	8	166	58	40	115	20	1	5.00%	5	0	100.00%	0	73	139	52.52%	64	125	51.20%	33	65	50.77%	96	56	86	37	73	38

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	8	OTW1	17	27	44	177	166	58	40	115	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	17	8

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	7	3

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	10	5

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
20	1	5.00%	5	0	100.00%	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
63	63	43	8	5	7	4	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
73	139	52.52%	64	125	51.20%	33	65	50.77%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
96	56	86	37	73	38

Last Played Games Show or Hide Columns

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 - 2024-04-19	5	Wild	2	Wolves	5	BW		BoxScore
4 - 2024-04-21	13	Wild	1	Wolves	2	BW		BoxScore
6 - 2024-04-23	21	Wolves	6	Wild	2	AW		BoxScore
8 - 2024-04-25	29	Wolves	4	Wild	3	AW	X	BoxScore
16 - 2024-05-03	59	Icehogs	-	Wolves	-
18 - 2024-05-05	63	Icehogs	-	Wolves	-
20 - 2024-05-07	67	Wolves	-	Icehogs	-
22 - 2024-05-09	71	Wolves	-	Icehogs	-
24 - 2024-05-11	75	Icehogs	-	Wolves	-
26 - 2024-05-13	79	Wolves	-	Icehogs	-
28 - 2024-05-15	83	Icehogs	-	Wolves	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	25
Attendance	4,000	2,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
36	3000 - 100.00%	156,250$	312,500$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,452,500$	2,452,500$	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$	14	0$	0$

Wolves Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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	Alexander True	455	152	251	403	48	280	1166	1063	1337	11.37%	102	9734	21.39	31	75	106	331	1	10	11	15	26	14	50.70%	0	0.83	8	24
2	Noah Gregor	430	130	205	335	42	86	244	856	1404	9.26%	62	8144	18.94	37	76	113	305	1	0	1	5	17	3	53.48%	1	0.82	10	10
3	Jordan Sambrook	456	107	217	324	111	585	1183	425	704	15.20%	498	9353	20.51	44	43	87	323	5	2	7	16	10	10	0%	1	0.69	0	0
4	Brendan Lemieux	304	124	132	256	20	320	1228	420	996	12.45%	40	5913	19.45	32	52	84	248	0	0	0	20	16	8	41.79%	0	0.87	0	4
5	Jack Dugan	373	85	170	255	-8	158	255	483	1148	7.40%	70	6726	18.03	25	48	73	260	0	0	0	1	9	0	48.16%	0	0.76	1	9

Wolves Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Ivan Prosvetov	133	88	33	12	0.926	2.52	7999	10	6	336	4523	1119	7	0	0.826	46
2	Alexandar Georgiev	188	88	88	8	0.903	3.28	10907	40	4	596	6148	0	8	4	0.500	24
3	Calvin Pickard	132	70	40	4	0.887	3.75	6968	24	0	435	3834	0	4	0	0.700	40
4	Matthew Galajda	96	53	32	7	0.914	2.77	5609	10	4	259	3022	260	2	2	0.800	10
5	Dryden McKay	5	1	4	0	0.937	1.74	172	0	0	5	79	0	0	0	0	0

Wolves Career Team Stats

Show or Hide Columns

	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
2020	76	35	34	0	2	1	2	2	282	270	12	38	19	15	0	1	1	2	0	140	125	15	38	16	19	0	1	0	0	2	142	145	-3	81	282	514	796	1	1	101	95	82	7	2675	908	881	862	40	2594	705	706	1783	288	63	21.88%	299	64	78.60%	3	1501	2818	53.26%	1484	2884	51.46%	693	1320	52.50%	1796	1231	1809	575	984	491
2020	76	35	34	0	2	1	2	2	282	270	12	38	19	15	0	1	1	2	0	140	125	15	38	16	19	0	1	0	0	2	142	145	-3	81	282	514	796	1	1	101	95	82	7	2675	908	881	862	40	2594	705	706	1783	288	63	21.88%	299	64	78.60%	3	1501	2818	53.26%	1484	2884	51.46%	693	1320	52.50%	1796	1231	1809	575	984	491
2021	76	39	23	0	6	6	1	1	259	208	51	38	17	15	0	1	4	1	0	116	102	14	38	22	8	0	5	2	0	1	143	106	37	99	259	474	733	1	4	95	90	67	8	2556	814	859	853	38	2352	695	673	1857	275	59	21.45%	297	41	86.20%	2	1421	2830	50.21%	1336	2678	49.89%	596	1178	50.59%	1878	1307	1759	549	963	485
2022	76	38	22	0	7	2	4	3	267	212	55	38	18	12	0	3	0	4	1	131	106	25	38	20	10	0	4	2	0	2	136	106	30	103	267	473	740	0	4	94	87	75	12	2636	848	865	889	60	2245	666	738	1795	306	76	24.84%	315	61	80.63%	5	1495	2906	51.45%	1363	2619	52.04%	603	1207	49.96%	1908	1327	1726	558	973	492
2023	76	36	20	0	9	4	4	3	236	188	48	38	16	12	0	4	2	2	2	108	94	14	38	20	8	0	5	2	2	1	128	94	34	105	236	390	626	1	2	85	83	55	15	3024	1143	947	894	64	3027	969	363	2217	145	42	28.97%	49	8	83.67%	0	1011	1986	50.91%	1041	1996	52.15%	584	1069	54.63%	1612	921	1603	675	1395	716
Total Regular Season	380	183	133	0	26	14	13	11	1326	1148	178	190	89	69	0	10	8	11	3	635	552	83	190	94	64	0	16	6	2	8	691	596	95	469	1326	2365	3691	4	12	476	450	361	49	13566	4621	4433	4360	242	12812	3740	3186	9435	1302	303	23.27%	1259	238	81.10%	13	6929	13358	51.87%	6708	13061	51.36%	3169	6094	52.00%	8993	6018	8708	2933	5302	2678
Playoff
2021	27	16	11	0	0	0	0	0	79	64	15	14	7	7	0	0	0	0	0	36	32	4	13	9	4	0	0	0	0	0	43	32	11	32	79	141	220	0	1	29	22	24	4	918	289	293	261	75	889	247	237	604	108	22	20.37%	103	12	88.35%	0	535	1048	51.05%	536	1052	50.95%	208	423	49.17%	718	498	662	214	367	186
2022	23	16	7	0	0	0	0	0	77	70	7	13	9	4	0	0	0	0	0	35	37	-2	10	7	3	0	0	0	0	0	42	33	9	32	77	138	215	1	1	26	23	25	3	815	249	239	277	50	764	217	251	564	101	17	16.83%	106	18	83.02%	0	496	948	52.32%	431	884	48.76%	177	374	47.33%	571	392	558	177	300	149
2023	4	4	0	0	0	0	0	0	17	8	9	2	2	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	10	5	5	8	17	27	44	0	0	5	7	4	1	177	63	63	43	8	166	58	40	115	20	1	5.00%	5	0	100.00%	0	73	139	52.52%	64	125	51.20%	33	65	50.77%	96	56	86	37	73	38
Total Playoff	54	36	18	0	0	0	0	0	173	142	31	29	18	11	0	0	0	0	0	78	72	6	25	18	7	0	0	0	0	0	95	70	25	72	173	306	479	1	2	60	52	53	8	1910	601	595	581	133	1819	522	528	1283	229	40	17.47%	214	30	85.98%	0	1104	2135	51.71%	1031	2061	50.02%	418	862	48.49%	1386	947	1307	430	740	374

Wolves Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKS	GW	GT	FO%	P/20
1	Zachary Jones	50	8	34	42	2	62	90	68	125	6.40%	77	1279	25.59	3	9	12	68	2	2	0	0%	0.66
2	Adam Wilsby	54	10	23	33	9	53	91	75	109	9.17%	64	1287	23.85	6	6	12	61	1	2	1	0%	0.51
3	Noah Gregor	50	16	14	30	-1	16	25	105	166	9.64%	3	1035	20.72	4	6	10	51	1	2	3	49.17%	0.58
4	Noah Cates	23	10	18	28	5	14	47	37	98	10.20%	3	468	20.36	1	7	8	14	0	5	0	39.02%	1.20
5	Pontus Holmberg	50	12	13	25	3	14	20	77	116	10.34%	10	837	16.74	2	2	4	27	0	1	1	49.43%	0.60

Wolves Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Matthew Galajda	33	19	12	2	0.928	2.28	2103	2	2	80	1112	0	3	1	0	0
2	Ivan Prosvetov	22	17	4	0	0.914	2.76	1326	0	0	61	706	72	0	0	0	0

	Wolves
	GP: 4 \| W: 4 \| L: 0 GF: 17 \| GA: 8 \| PP%: 5.00% \| PK%: 100.00% GM : Mathieu Lavigne \| Morale : 99 \| Team Overall : N/A Next Games #59 vs Icehogs