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

Game Center
	Wilkes-Barre/Scranton Penguins 16-3-2, 34pts	3	FINAL	2	Chicago Wolves 14-3-3, 31pts

Team Stats
W2	Streak	W1
8-1-1	Home Record	6-2-2
8-2-1	Home Record	8-1-1
9-0-1	Last 10 Games	6-1-3
3.52	Goals Per Game	3.80
2.57	Goals Against Per Game	2.60
18.75%	Power Play Percentage	22.73%
85.00%	Penalty Kill Percentage	72.22%

Chicago Wolves
14-3-3, 31pts

FINAL

Texas Stars
6-11-2, 14pts

Team Stats
W1	Streak	L1
6-2-2	Home Record	3-6-2
8-1-1	Home Record	3-5-0
6-1-3	Last 10 Games	4-5-1
3.80	Goals Per Game	3.26
2.60	Goals Against Per Game	4.32
22.73%	Power Play Percentage	32.00%
72.22%	Penalty Kill Percentage	75.00%

Laval Rocket
6-14-1, 13pts

Day 34

Chicago Wolves
14-3-3, 31pts

Team Stats
W1	Streak	W1
2-8-0	Home Record	6-2-2
4-6-1	Away Record	8-1-1
4-6-0	Last 10 Games	6-1-3
2.67	Goals Per Game	3.80
3.86	Goals Against Per Game	3.80
37.50%	Power Play Percentage	22.73%
66.67%	Penalty Kill Percentage	72.22%

Chicago Wolves
14-3-3, 31pts

Day 35

Rockford IceHogs
5-14-0, 10pts

Team Stats
W1	Streak	L1
6-2-2	Home Record	3-7-0
8-1-1	Away Record	2-7-0
6-1-3	Last 10 Games	3-7-0
3.80	Goals Per Game	3.53
2.60	Goals Against Per Game	3.53
22.73%	Power Play Percentage	34.62%
72.22%	Penalty Kill Percentage	62.07%

Milwaukee Admirals
16-4-2, 34pts

Day 37

Chicago Wolves
14-3-3, 31pts

Team Stats
W1	Streak	W1
7-2-1	Home Record	6-2-2
9-2-1	Away Record	8-1-1
9-0-1	Last 10 Games	6-1-3
4.55	Goals Per Game	3.80
3.18	Goals Against Per Game	3.80
22.50%	Power Play Percentage	22.73%
66.67%	Penalty Kill Percentage	72.22%

Team Leaders
	Goals Aliaksei Protas 13	Assists Aliaksei Protas 15

	Points Aliaksei Protas 28	Plus/Minus Sebastian Aho (D) 16

	Wins Devon Levi 14	Save Percentage Devon Levi 0.926

Team Stats
Goals For 76 3.80 GFG	Shots For 775 38.75 Avg	Power Play Percentage 22.7% 5 GF	Offensive Zone Start 39.1%
Goals Against 52 2.60 GAA	Shots Against 655 32.75 Avg	Penalty Kill Percentage 72.2%% 5 GA	Defensive Zone Start 35.8%

Team Info
	General Manager	Kevin Fedigan
	Division	West Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	1,650
Roster Info
	Pro Team	34
	Farm Team	19
	Contract Limit	53 / 65
	Prospects	44

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	Ondrej Kase	0			X		100.00	59	43	77	75	76	83	75	70	43	64	64	67	70	77	67	0	69	69	0	28	1	1,100,000$
2	Jonny Brodzinski	0	X				100.00	54	35	95	79	82	71	69	58	71	65	60	66	69	72	73	0	70	68	0	31	4	800,000$
3	Aliaksei Protas (R)	0	X		X		100.00	56	35	96	80	84	77	94	63	55	68	59	68	71	45	60	0	66	68	0	23	10	3,375,000$
4	Tanner Jeannot	84		X			100.00	90	87	65	78	85	73	66	57	55	60	62	74	70	56	66	0	64	68	0	27	2	2,665,000$
5	Conor Sheary	73		X	X		100.00	51	35	94	77	68	71	69	59	55	63	58	68	69	76	75	0	66	66	0	32	3	5,300,000$
6	Logan Stankoven (R)	0	X				100.00	54	35	95	83	65	79	60	64	55	61	60	64	71	45	57	0	69	65	0	21	6	866,667$
7	Steven Lorentz	18	X				100.00	67	35	92	75	80	66	60	50	64	54	53	72	64	60	65	0	69	63	0	28	1	1,050,000$
8	Kyle Clifford	0		X			100.00	61	64	69	68	70	56	65	53	58	53	49	63	58	80	80	0	75	61	0	33	2	850,000$
9	Brock McGinn	26		X			100.00	52	35	95	76	73	71	60	50	55	50	49	60	63	68	71	0	69	60	0	30	3	2,750,000$
10	Rasmus Kupari (R)	15	X	X	X		100.00	53	35	95	75	77	67	60	50	63	53	51	66	64	45	57	0	69	60	0	24	3	1,000,000$
11	Max Willman	0	X				100.00	51	35	96	76	70	65	60	50	55	49	55	56	65	64	66	0	69	59	0	29	2	790,000$
12	Jakob Pelletier (R)	0		X			100.00	50	35	95	76	66	67	60	50	55	53	51	59	64	45	55	0	69	58	0	23	1	863,333$
13	Michael Kesselring (R)	0				X	100.00	66	48	73	80	73	81	78	63	40	66	57	76	60	45	64	0	68	71	0	24	4	1,400,000$
14	Jordan Spence	52				X	100.00	53	35	95	80	69	78	86	65	40	70	51	71	59	45	60	0	69	69	0	23	1	820,000$
15	Nikolai Knyzhov (R)	0				X	100.00	51	35	84	79	86	85	60	56	40	51	43	74	53	52	70	0	69	68	0	26	2	1,250,000$
16	Sebastian Aho (D)	0				X	100.00	51	35	94	79	71	83	70	60	40	59	52	66	57	60	72	0	69	67	0	28	1	825,000$
17	Nils Lundkvist (R)	5				X	100.00	51	35	92	79	72	78	71	63	40	68	52	65	58	45	62	0	69	66	0	24	2	925,000$
18	Xavier Ouellet	0				X	100.00	51	49	61	64	66	52	70	59	54	66	65	68	51	72	72	0	79	64	0	31	4	800,000$
Scratches
1	Maxim Cajkovic (R)	0		X	X		100.00	35	50	56	54	64	61	59	67	53	56	55	67	47	45	45	0	35	58	0	23	1	775,000$
2	Jalen Luypen (R)	0	X				100.00	72	41	49	47	56	51	55	66	58	57	69	56	48	45	45	0	35	58	0	22	2	859,167$
3	Aidan McDonough (R)	0		X			100.00	52	54	60	67	59	60	57	64	50	41	49	64	55	48	48	0	35	57	0	24	6	870,000$
4	Elliot Desnoyers (R)	0		X			100.00	48	58	67	49	64	45	60	64	58	58	54	66	45	45	45	0	35	57	0	22	6	825,000$
5	Jayce Hawryluk	0	X		X		100.00	59	44	66	62	62	63	62	57	40	54	54	57	58	54	50	0	35	57	0	28	4	800,000$
6	Brendan Smith	2		X		X	100.00	67	55	75	80	77	82	76	60	40	62	57	82	59	88	86	0	36	76	0	35	1	1,100,000$
7	John Klingberg	3				X	100.00	53	35	85	83	69	92	60	62	40	63	43	64	55	76	85	0	40	69	0	32	2	4,150,000$
8	Luke Witkowski	0				X	100.00	57	55	65	61	65	69	68	57	40	51	51	62	57	69	59	0	40	61	0	34	4	800,000$
9	Jacob Moverare (R)	0				X	100.00	40	35	93	75	78	70	60	50	40	47	45	58	52	52	62	0	40	60	0	26	4	775,000$
10	Akito Hirose (R)	0				X	100.00	41	35	99	75	64	73	60	50	40	41	38	59	49	48	62	0	40	59	0	25	2	4,350,000$
11	Corson Ceulemans (R)	0				X	100.00	53	70	70	54	64	48	51	53	64	57	52	69	57	45	45	0	35	57	0	21	4	925,000$
12	Adam Wilsby (R)	0				X	100.00	50	50	52	50	62	59	54	51	53	41	41	48	44	45	45	0	35	50	0	24	2	775,000$

	TEAM AVERAGE						100.00	55	44	80	71	71	69	65	58	50	57	53	65	59	57	62	0	56	63

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	Anton Forsberg	31	100.00	85	77	84	88	82	85	85	84	85	86	80	74	70	0	70	83	0	31	3	1,775,000$
2	Devon Levi (R)	0	100.00	85	74	82	85	81	75	84	84	85	83	80	45	45	0	68	78	0	22	6	925,000$
Scratches
1	Ivan Prosvetov (R)	0	100.00	83	65	76	90	75	78	80	77	80	80	72	50	45	0	50	75	0	25	1	775,000$
2	Filip Lindberg (R)	0	100.00	68	47	59	46	63	61	69	64	56	45	54	56	69	0	45	58	0	25	1	925,000$

	TEAM AVERAGE		100.00	80	66	75	77	75	75	80	77	77	74	72	56	57	0	58	74

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

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	EG	HT	P/20	FW	FL	FT	S1	S2	S3
1	Aliaksei Protas	Chicago Wolves (CAR)	C/RW	20	13	15	28	4	5	5	29	29	96	23	46	13.54%	8	419	20.97	1	1	2	4	17	0	2	1	0	45.37%	108	26	10	0	1	1.34	0	1	0	2	0	1
2	Logan Stankoven	Chicago Wolves (CAR)	C	20	11	13	24	5	0	0	23	34	81	18	49	13.58%	5	406	20.30	1	0	1	2	15	0	7	0	1	46.59%	528	23	8	0	1	1.18	0	0	0	1	3	1
3	Conor Sheary	Chicago Wolves (CAR)	LW/RW	20	10	9	19	14	17	5	28	29	75	22	37	13.33%	15	344	17.24	1	2	3	1	13	0	7	3	1	60.00%	10	22	8	0	0	1.10	0	1	0	2	2	0
4	Jonny Brodzinski	Chicago Wolves (CAR)	C	20	7	10	17	11	5	5	16	31	62	24	37	11.29%	6	330	16.51	1	1	2	3	14	0	3	2	1	62.45%	269	11	6	0	0	1.03	0	0	1	2	1	1
5	Tanner Jeannot	Chicago Wolves (CAR)	LW	20	7	10	17	7	57	25	70	21	47	19	39	14.89%	12	401	20.09	1	1	2	1	17	0	8	1	0	53.66%	41	21	9	0	0	0.85	1	2	2	2	0	3
6	Ondrej Kase	Chicago Wolves (CAR)	RW	20	8	8	16	3	0	0	28	12	69	25	48	11.59%	11	239	11.97	0	0	0	1	3	1	4	2	0	50.00%	14	18	4	1	0	1.34	0	0	0	0	1	1
7	Nils Lundkvist	Chicago Wolves (CAR)	D	20	1	13	14	13	2	0	28	28	52	14	20	1.92%	34	523	26.15	0	1	1	0	15	0	2	1	0	0%	0	19	25	0	0	0.54	0	0	0	0	2	2
8	Sebastian Aho (D)	Chicago Wolves (CAR)	D	20	1	13	14	16	0	0	29	26	29	14	18	3.45%	38	529	26.48	0	0	0	0	18	0	7	0	0	0%	0	16	25	0	0	0.53	0	0	0	1	0	1
9	Steven Lorentz	Chicago Wolves (CAR)	C	20	4	8	12	8	2	0	41	15	47	12	35	8.51%	2	248	12.43	0	0	0	0	0	0	14	2	0	55.71%	140	3	7	0	0	0.97	0	0	0	0	1	0
10	Brock McGinn	Chicago Wolves (CAR)	LW	20	5	5	10	7	0	0	14	9	38	8	25	13.16%	9	236	11.81	0	0	0	0	1	0	1	1	0	40.00%	5	4	7	0	0	0.85	0	0	0	0	0	0
11	Kyle Clifford	Chicago Wolves (CAR)	LW	20	3	6	9	7	20	10	41	18	19	13	12	15.79%	3	312	15.60	0	0	0	1	12	0	0	0	0	46.67%	15	5	3	0	0	0.58	2	0	0	1	0	1
12	Michael Kesselring	Chicago Wolves (CAR)	D	20	0	7	7	2	19	15	39	18	29	18	19	0%	20	395	19.79	0	2	2	1	14	2	13	0	0	0%	0	9	11	0	0	0.35	0	1	2	0	0	0
13	Jakob Pelletier	Chicago Wolves (CAR)	LW	20	3	2	5	1	0	0	10	6	14	3	9	21.43%	3	170	8.54	0	0	0	0	0	0	0	1	0	44.44%	9	1	6	0	0	0.59	0	0	0	0	0	0
14	Xavier Ouellet	Chicago Wolves (CAR)	D	20	1	3	4	9	24	20	17	14	13	4	11	7.69%	12	230	11.53	0	0	0	0	0	0	1	0	0	0%	0	7	6	0	0	0.35	3	0	1	0	0	1
15	Rasmus Kupari	Chicago Wolves (CAR)	C/LW/RW	20	1	3	4	5	0	0	20	11	33	12	17	3.03%	0	246	12.31	0	0	0	0	0	0	0	0	0	55.56%	9	4	4	0	0	0.32	0	0	0	0	1	0
16	Max Willman	Chicago Wolves (CAR)	C	20	0	3	3	3	0	0	8	5	16	2	14	0%	2	164	8.23	0	0	0	0	0	0	2	0	0	52.00%	50	3	2	0	0	0.36	0	0	0	0	0	0
17	Nikolai Knyzhov	Chicago Wolves (CAR)	D	20	0	3	3	9	0	0	3	20	14	11	3	0%	15	283	14.18	0	0	0	0	0	0	15	0	0	0%	0	0	8	0	0	0.21	0	0	0	0	0	0
18	Jordan Spence	Chicago Wolves (CAR)	D	20	1	1	2	2	0	0	9	33	33	7	14	3.03%	13	395	19.80	0	0	0	0	14	0	12	0	1	0%	0	5	9	0	0	0.10	0	0	0	1	0	0
19	John Klingberg	Chicago Wolves (CAR)	D	3	0	0	0	-1	0	0	5	2	4	1	2	0%	0	41	13.97	0	0	0	0	0	0	1	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
20	Luke Witkowski	Chicago Wolves (CAR)	D	3	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.56	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
21	Jacob Moverare	Chicago Wolves (CAR)	D	3	0	0	0	0	0	0	0	0	0	0	0	0%	0	2	0.94	0	0	0	0	2	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
22	Danton Heinen	Carolina Hurricanes	LW/RW	3	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.36	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
23	Zemgus Girgensons	Carolina Hurricanes	C/LW/RW	3	0	0	0	-1	0	0	6	3	4	6	7	0%	4	60	20.31	0	0	0	0	1	0	0	0	0	0%	6	0	2	0	0	0	0	0	0	0	0	0
Team Total or Average				375	76	132	208	124	151	85	464	364	775	256	462	9.81%	212	5987	15.97	5	8	13	14	166	3	108	14	4	51.50%	1204	197	160	1	2	0.69	6	5	6	12	11	12

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	GA	SA	SAR	A	EG	PS %	ST	BG	S1	S2	S3
1	Devon Levi	Chicago Wolves (CAR)	20	14	3	3	0.926	2.41	1169	47	631	318	2	1	0	20	0	2	2	2
2	Anton Forsberg	Chicago Wolves (CAR)	2	0	0	0	0.826	7.06	34	4	23	12	0	0	0	0	17	0	0	0
Team Total or Average			22	14	3	3	0.922	2.54	1204	51	654	330	2	1		20	17	2	2	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Adam Wilsby	Chicago Wolves (CAR)	D	24	2000-08-07	Yes	188 Lbs	6 ft1	No	No	Prospect	No	No	2	2024-08-17	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Aidan McDonough	Chicago Wolves (CAR)	LW	24	1999-11-06	Yes	190 Lbs	6 ft3	No	No	Prospect	No	No	6	2024-07-05	False	False	Pro & Farm	870,000$	0$	0$	No	870,000$	870,000$	870,000$	870,000$	870,000$	-	-	-	-	870,000$	870,000$	870,000$	870,000$	870,000$	-	-	-	-	No	No	No	No	No	-	-	-	-
Akito Hirose (1 Way Contract)	Chicago Wolves (CAR)	D	25	1999-04-09	Yes	170 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	4,350,000$	4,350,000$	3,341,304$	No	4,350,000$	-	-	-	-	-	-	-	-	4,350,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Aliaksei Protas (1 Way Contract)	Chicago Wolves (CAR)	C/RW	23	2001-01-06	Yes	225 Lbs	6 ft6	No	No	N/A	No	No	10	2024-07-21	False	False	Pro & Farm	3,375,000$	3,375,000$	2,592,391$	No	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	3,375,000$	No	No	No	No	No	No	No	No	No	Link
Anton Forsberg	Chicago Wolves (CAR)	G	31	1992-11-27	No	192 Lbs	6 ft3	No	No	Free Agent	No	No	3	2024-01-28	False	False	Pro & Farm	1,775,000$	0$	0$	No	1,775,000$	1,775,000$	-	-	-	-	-	-	-	1,775,000$	1,775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Brendan Smith	Chicago Wolves (CAR)	LW/D	35	1989-02-08	No	200 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	1,100,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Brock McGinn	Chicago Wolves (CAR)	LW	30	1994-02-02	No	187 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	2,750,000$	0$	0$	No	2,750,000$	2,750,000$	-	-	-	-	-	-	-	2,750,000$	2,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Conor Sheary (1 Way Contract)	Chicago Wolves (CAR)	LW/RW	32	1992-06-08	No	179 Lbs	5 ft9	No	No	Free Agent	No	No	3	2024-01-28	False	False	Pro & Farm	5,300,000$	5,300,000$	4,071,014$	No	5,300,000$	5,300,000$	-	-	-	-	-	-	-	5,300,000$	5,300,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Corson Ceulemans	Chicago Wolves (CAR)	D	21	2003-05-05	Yes	198 Lbs	6 ft2	No	No	Prospect	No	No	4	2024-08-17	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	925,000$	-	-	-	-	-	-	925,000$	925,000$	925,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Devon Levi	Chicago Wolves (CAR)	G	22	2001-12-27	Yes	185 Lbs	6 ft0	No	No	Prospect	No	No	6	2024-07-05	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	925,000$	925,000$	925,000$	-	-	-	-	925,000$	925,000$	925,000$	925,000$	925,000$	-	-	-	-	No	No	No	No	No	-	-	-	-
Elliot Desnoyers	Chicago Wolves (CAR)	LW	22	2002-01-21	Yes	183 Lbs	5 ft11	No	No	Prospect	No	No	6	2024-07-05	False	False	Pro & Farm	825,000$	0$	0$	No	825,000$	825,000$	825,000$	825,000$	825,000$	-	-	-	-	825,000$	825,000$	825,000$	825,000$	825,000$	-	-	-	-	No	No	No	No	No	-	-	-	-
Filip Lindberg	Chicago Wolves (CAR)	G	25	1999-01-31	Yes	180 Lbs	6 ft0	No	No	N/A	No	No	1	2024-07-21	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ivan Prosvetov	Chicago Wolves (CAR)	G	25	1999-03-05	Yes	195 Lbs	6 ft5	No	No	N/A	No	No	1	2024-01-16	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jacob Moverare	Chicago Wolves (CAR)	D	26	1998-08-31	Yes	210 Lbs	6 ft3	No	No	N/A	No	No	4	2024-07-21	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Jakob Pelletier	Chicago Wolves (CAR)	LW	23	2001-03-07	Yes	170 Lbs	5 ft9	No	No	N/A	No	No	1	2024-01-16	False	False	Pro & Farm	863,333$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jalen Luypen	Chicago Wolves (CAR)	C	22	2002-06-28	Yes	155 Lbs	5 ft10	No	No	Prospect	No	No	2	2024-08-17	False	False	Pro & Farm	859,167$	0$	0$	No	859,167$	-	-	-	-	-	-	-	-	859,167$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jayce Hawryluk	Chicago Wolves (CAR)	C/RW	28	1996-01-01	No	196 Lbs	5 ft11	No	No	Assign Manually	No	No	4	2024-08-05	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
John Klingberg (1 Way Contract)	Chicago Wolves (CAR)	D	32	1992-08-14	No	190 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	4,150,000$	4,150,000$	3,187,681$	No	4,150,000$	-	-	-	-	-	-	-	-	4,150,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jonny Brodzinski	Chicago Wolves (CAR)	C	31	1993-06-19	No	212 Lbs	6 ft0	No	No	Assign Manually	No	No	4	2024-07-28	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Jordan Spence	Chicago Wolves (CAR)	D	23	2001-02-24	No	180 Lbs	5 ft10	No	No	N/A	No	No	1	2024-07-21	False	False	Pro & Farm	820,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kyle Clifford	Chicago Wolves (CAR)	LW	33	1991-01-13	No	217 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Logan Stankoven	Chicago Wolves (CAR)	C	21	2003-02-26	Yes	170 Lbs	5 ft7	No	No	Prospect	No	No	6	2024-07-05	False	False	Pro & Farm	866,667$	0$	0$	No	866,667$	866,667$	866,667$	866,667$	866,667$	-	-	-	-	866,667$	866,667$	866,667$	866,667$	866,667$	-	-	-	-	No	No	No	No	No	-	-	-	-
Luke Witkowski	Chicago Wolves (CAR)	D	34	1990-04-14	No	209 Lbs	6 ft2	No	No	Assign Manually	No	No	4	2024-08-05	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Max Willman	Chicago Wolves (CAR)	C	29	1995-02-13	No	184 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	790,000$	0$	0$	No	790,000$	-	-	-	-	-	-	-	-	790,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Maxim Cajkovic	Chicago Wolves (CAR)	LW/RW	23	2001-01-03	Yes	185 Lbs	5 ft11	No	No	N/A	No	No	1	2024-07-21	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Michael Kesselring	Chicago Wolves (CAR)	D	24	2000-01-13	Yes	190 Lbs	6 ft4	No	No	N/A	No	No	4	2024-07-21	False	False	Pro & Farm	1,400,000$	0$	0$	No	1,400,000$	1,400,000$	1,400,000$	-	-	-	-	-	-	1,400,000$	1,400,000$	1,400,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Nikolai Knyzhov	Chicago Wolves (CAR)	D	26	1998-03-20	Yes	222 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nils Lundkvist	Chicago Wolves (CAR)	D	24	2000-07-27	Yes	190 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ondrej Kase	Chicago Wolves (CAR)	RW	28	1995-11-08	No	187 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	1,100,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Rasmus Kupari	Chicago Wolves (CAR)	C/LW/RW	24	2000-03-15	Yes	200 Lbs	6 ft2	No	No	N/A	No	No	3	2024-01-16	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Sebastian Aho (D)	Chicago Wolves (CAR)	D	28	1996-02-17	No	186 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Pro & Farm	825,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Steven Lorentz	Chicago Wolves (CAR)	C	28	1996-04-13	No	206 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	1,050,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tanner Jeannot	Chicago Wolves (CAR)	LW	27	1997-05-29	No	208 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	2,665,000$	0$	0$	No	2,665,000$	-	-	-	-	-	-	-	-	2,665,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Xavier Ouellet	Chicago Wolves (CAR)	D	31	1993-07-29	No	199 Lbs	6 ft1	No	No	Assign Manually	No	No	4	2024-07-28	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
34	26.59	192 Lbs	6 ft1	2.97	1,436,299$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tanner Jeannot	Logan Stankoven	Aliaksei Protas	40	1	2	2
2	Kyle Clifford	Jonny Brodzinski	Conor Sheary	30	1	2	2
3	Brock McGinn	Steven Lorentz	Rasmus Kupari	20	1	2	2
4	Jakob Pelletier	Max Willman	Ondrej Kase	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sebastian Aho (D)	Nils Lundkvist	40	1	2	2
2	Michael Kesselring	Jordan Spence	30	1	2	2
3	Xavier Ouellet	Nikolai Knyzhov	20	1	2	2
4	Sebastian Aho (D)	Nils Lundkvist	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tanner Jeannot	Logan Stankoven	Aliaksei Protas	60	1	2	2
2	Kyle Clifford	Jonny Brodzinski	Conor Sheary	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sebastian Aho (D)	Nils Lundkvist	60	1	2	2
2	Michael Kesselring	Jordan Spence	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Steven Lorentz	Tanner Jeannot	60	1	2	2
2	Max Willman	Ondrej Kase	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	Nikolai Knyzhov	60	1	2	2
2	Sebastian Aho (D)	Jordan Spence	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Steven Lorentz	60	1	2	2	Michael Kesselring	Nikolai Knyzhov	60	1	2	2
2	Max Willman	40	1	2	2	Sebastian Aho (D)	Jordan Spence	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Steven Lorentz	Jakob Pelletier	60	1	2	2
2	Max Willman	Kyle Clifford	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Xavier Ouellet	Nikolai Knyzhov	60	1	2	2
2	Michael Kesselring	Jordan Spence	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tanner Jeannot	Logan Stankoven	Aliaksei Protas	Sebastian Aho (D)	Nils Lundkvist

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tanner Jeannot	Steven Lorentz	Ondrej Kase	Michael Kesselring	Nikolai Knyzhov

Extra Forwards
Normal	PowerPlay	Penalty Kill
Conor Sheary, Logan Stankoven, Jakob Pelletier	Kyle Clifford, Aliaksei Protas	Logan Stankoven

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Xavier Ouellet, Sebastian Aho (D), Nils Lundkvist	Michael Kesselring	Jordan Spence, Nikolai Knyzhov

Penalty Shots
Aliaksei Protas, Ondrej Kase, Tanner Jeannot, Logan Stankoven, Jonny Brodzinski

Goalie
#1 : Devon Levi, #2 : Anton Forsberg

Custom OT Lines Forwards
Ondrej Kase, Aliaksei Protas, Jakob Pelletier, Tanner Jeannot, Jonny Brodzinski, Conor Sheary, Conor Sheary, Logan Stankoven, Steven Lorentz, Kyle Clifford, Brock McGinn

Custom OT Lines Defensemen
Nils Lundkvist, Xavier Ouellet, Michael Kesselring, Jordan Spence, Sebastian Aho (D)

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	Bakersfield Condors	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	7	12	19	0	0	13	37	25	1	75	226	287	260	2	55	12	7	56	2	1	50.00%	1	0	100.00%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
2	Bridgeport Sound Tigers	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	13	37	25	1	53	226	287	260	2	33	12	0	26	1	0	0.00%	0	0	0%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
3	Charlotte Checkers	3	1	1	0	0	1	0	0	10	14	-4	1	0	0	0	0	1	0	0	2	3	-1	2	1	1	0	0	0	0	0	8	11	-3	3	0.500	10	16	26	0	0	13	37	25	1	117	226	287	260	2	107	47	11	70	2	2	100.00%	3	1	66.67%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
4	Coachella Valley Firebirds	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	13	37	25	1	41	226	287	260	2	42	12	5	19	1	0	0.00%	0	0	0%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
5	Colorado Eagles	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	13	37	25	1	43	226	287	260	2	36	11	4	26	1	0	0.00%	2	0	100.00%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
6	Iowa Wild	3	2	1	0	0	0	0	0	15	7	8	2	1	1	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	4	1	3	4	0.667	15	26	41	1	0	13	37	25	1	116	226	287	260	2	94	32	54	71	5	1	20.00%	2	2	0.00%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
7	Lehigh Valley Phantoms	3	1	1	0	1	0	0	0	10	10	0	2	0	1	0	1	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	4	2	2	4	0.667	10	18	28	0	0	13	37	25	1	99	226	287	260	2	111	33	27	67	2	0	0.00%	6	1	83.33%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
8	Texas Stars	4	3	0	0	0	1	0	0	17	8	9	1	1	0	0	0	0	0	0	6	1	5	3	2	0	0	0	1	0	0	11	7	4	7	0.875	17	30	47	0	0	13	37	25	1	155	226	287	260	2	120	35	9	83	6	1	16.67%	2	0	100.00%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
9	Tuscon Roadrunners	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	9	14	0	0	13	37	25	1	40	226	287	260	2	40	12	30	24	1	0	0.00%	0	0	0%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
10	Wilkes-Barre/Scranton Penguins	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	4	6	0	0	13	37	25	1	36	226	287	260	2	17	6	4	22	1	0	0.00%	2	1	50.00%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
	Total	20	13	3	0	1	3	0	0	76	52	24	10	5	2	0	1	2	0	0	37	25	12	10	8	1	0	0	1	0	0	39	27	12	31	0.775	76	132	208	1	0	13	37	25	1	775	226	287	260	2	655	212	151	464	22	5	22.73%	18	5	72.22%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
	_Since Last GM Reset	20	13	3	0	1	3	0	0	76	52	24	10	5	2	0	1	2	0	0	37	25	12	10	8	1	0	0	1	0	0	39	27	12	31	0.775	76	132	208	1	0	13	37	25	1	775	226	287	260	2	655	212	151	464	22	5	22.73%	18	5	72.22%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185
	_Vs Conference	14	10	2	0	0	2	0	0	55	35	20	6	4	1	0	0	1	0	0	25	13	12	8	6	1	0	0	1	0	0	30	22	8	22	0.786	55	94	149	1	0	13	37	25	1	547	226	287	260	2	454	149	90	325	17	5	29.41%	10	3	70.00%	0	240	467	51.39%	222	428	51.87%	158	300	52.67%	458	274	378	175	367	185

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
20	31	W1	76	132	208	775	655	212	151	464	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	13	3	1	3	0	0	76	52

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	2	1	2	0	0	37	25

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	8	1	0	1	0	0	39	27

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	1	0	3	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
22	5	22.73%	18	5	72.22%	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
226	287	260	2	13	37	25	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
240	467	51.39%	222	428	51.87%	158	300	52.67%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
458	274	378	175	367	185

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	15	Iowa Wild	3	Chicago Wolves	1	L		BoxScore
4	36	Colorado Eagles	1	Chicago Wolves	2	W		BoxScore
5	45	Chicago Wolves	5	Texas Stars	1	W		BoxScore
7	65	Iowa Wild	3	Chicago Wolves	10	W		BoxScore
8	75	Chicago Wolves	3	Bakersfield Condors	1	W		BoxScore
10	97	Lehigh Valley Phantoms	5	Chicago Wolves	2	L		BoxScore
12	115	Chicago Wolves	6	Charlotte Checkers	4	W		BoxScore
14	131	Bakersfield Condors	2	Chicago Wolves	4	W		BoxScore
15	142	Chicago Wolves	4	Iowa Wild	1	W		BoxScore
17	166	Texas Stars	1	Chicago Wolves	6	W		BoxScore
20	192	Bridgeport Sound Tigers	1	Chicago Wolves	4	W		BoxScore
21	201	Chicago Wolves	3	Texas Stars	4	L	X	BoxScore
22	212	Chicago Wolves	5	Tuscon Roadrunners	3	W		BoxScore
24	229	Charlotte Checkers	3	Chicago Wolves	2	L	X	BoxScore
26	253	Chicago Wolves	2	Charlotte Checkers	7	L		BoxScore
27	260	Chicago Wolves	4	Lehigh Valley Phantoms	2	W		BoxScore
28	272	Lehigh Valley Phantoms	3	Chicago Wolves	4	W	X	BoxScore
30	294	Chicago Wolves	4	Coachella Valley Firebirds	2	W		BoxScore
31	301	Wilkes-Barre/Scranton Penguins	3	Chicago Wolves	2	L	X	BoxScore
32	321	Chicago Wolves	3	Texas Stars	2	W		BoxScore
34	335	Laval Rocket	-	Chicago Wolves	-
35	353	Chicago Wolves	-	Rockford IceHogs	-
37	366	Milwaukee Admirals	-	Chicago Wolves	-
39	387	San Jose Barracuda	-	Chicago Wolves	-
40	403	Chicago Wolves	-	Laval Rocket	-
41	417	Chicago Wolves	-	Rochester Americans	-
43	430	Coachella Valley Firebirds	-	Chicago Wolves	-
44	450	Chicago Wolves	-	Henderson Silver Knights	-
46	463	Utica Comets	-	Chicago Wolves	-
48	484	Chicago Wolves	-	Springfield Thunderbirds	-
49	494	Chicago Wolves	-	Iowa Wild	-
50	503	Colorado Eagles	-	Chicago Wolves	-
52	529	Belleville Senators	-	Chicago Wolves	-
55	550	Charlotte Checkers	-	Chicago Wolves	-
56	564	Chicago Wolves	-	Tuscon Roadrunners	-
57	575	Chicago Wolves	-	Colorado Eagles	-
58	590	Grand Rapids Griffins	-	Chicago Wolves	-
60	610	Chicago Wolves	-	Abbotsford Canucks	-
61	620	Bakersfield Condors	-	Chicago Wolves	-
63	642	Chicago Wolves	-	Bakersfield Condors	-
64	655	Calgary Wranglers	-	Chicago Wolves	-
66	677	Charlotte Checkers	-	Chicago Wolves	-
67	687	Chicago Wolves	-	Henderson Silver Knights	-
69	708	Syracuse Crunch	-	Chicago Wolves	-
70	719	Chicago Wolves	-	Lehigh Valley Phantoms	-
71	731	Chicago Wolves	-	San Diego Gulls	-
73	750	Chicago Wolves	-	Cleveland Monsters	-
74	759	Colorado Eagles	-	Chicago Wolves	-
76	783	Toronto Marlies	-	Chicago Wolves	-
78	802	Chicago Wolves	-	Calgary Wranglers	-
79	815	Bridgeport Sound Tigers	-	Chicago Wolves	-
80	830	Chicago Wolves	-	Calgary Wranglers	-
82	845	Rochester Americans	-	Chicago Wolves	-
84	868	Bridgeport Sound Tigers	-	Chicago Wolves	-
85	876	Chicago Wolves	-	Bridgeport Sound Tigers	-
86	889	Chicago Wolves	-	Grand Rapids Griffins	-
87	903	Chicago Wolves	-	Ontario Reign	-
89	919	Manitoba Moose	-	Chicago Wolves	-
91	942	Lehigh Valley Phantoms	-	Chicago Wolves	-
93	963	Chicago Wolves	-	Bakersfield Condors	-
94	973	Iowa Wild	-	Chicago Wolves	-
95	985	Chicago Wolves	-	Milwaukee Admirals	-
98	1007	Manitoba Moose	-	Chicago Wolves	-
100	1028	Iowa Wild	-	Chicago Wolves	-
101	1036	Chicago Wolves	-	Hershey Bears	-
103	1062	Henderson Silver Knights	-	Chicago Wolves	-
104	1072	Chicago Wolves	-	Toronto Marlies	-
105	1084	Chicago Wolves	-	Hartford Wolf Pack	-
107	1101	Calgary Wranglers	-	Chicago Wolves	-
108	1117	Chicago Wolves	-	Wilkes-Barre/Scranton Penguins	-
110	1132	Abbotsford Canucks	-	Chicago Wolves	-
Trade Deadline --- Trades can’t be done after this day is simulated!
111	1145	Chicago Wolves	-	Providence Bruins	-
113	1161	Chicago Wolves	-	Bridgeport Sound Tigers	-
114	1171	Springfield Thunderbirds	-	Chicago Wolves	-
115	1179	Chicago Wolves	-	Toronto Marlies	-
116	1191	Chicago Wolves	-	Iowa Wild	-
118	1208	Bakersfield Condors	-	Chicago Wolves	-
121	1228	Chicago Wolves	-	Abbotsford Canucks	-
122	1243	Texas Stars	-	Chicago Wolves	-
123	1253	Chicago Wolves	-	Charlotte Checkers	-
125	1274	Rockford IceHogs	-	Chicago Wolves	-
130	1305	Texas Stars	-	Chicago Wolves	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
31	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
763,668$	3,165,917$	3,165,917$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
23,984$	763,668$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	100	23,984$	2,398,400$

Chicago 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

Chicago 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

Chicago 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

Chicago 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	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Chicago 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

	Chicago Wolves
	GP: 20 \| W: 14 \| L: 3 \| OTL: 3 \| P: 31 GF: 76 \| GA: 52 \| PP%: 22.73% \| PK%: 72.22% GM : Kevin Fedigan \| Morale : 59 \| Team Overall : 64 Next Games #335 vs Laval Rocket