Carolina Hurricanes
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Chicago Wolves 27-17-3, 57pts	5	Box score	6	Grand Rapids Griffins 24-19-5, 53pts

Team Stats
W1	Streak	L1
17-7-1	Home Record	13-10-2
10-10-2	Home Record	11-9-3
6-3-1	Last 10 Games	4-4-2
4.30	Goals Per Game	4.65
3.26	Goals Against Per Game	4.04
24.48%	Power Play Percentage	28.80%
75.43%	Penalty Kill Percentage	73.44%

Chicago Wolves
27-17-3, 57pts

Box score

Springfield Thunderbirds
14-31-2, 30pts

Team Stats
W1	Streak	L3
17-7-1	Home Record	8-16-1
10-10-2	Home Record	6-15-1
6-3-1	Last 10 Games	2-8-0
4.30	Goals Per Game	3.28
3.26	Goals Against Per Game	4.96
24.48%	Power Play Percentage	17.97%
75.43%	Penalty Kill Percentage	71.93%

Charlotte Checkers
22-16-7, 51pts

2026-01-16

Chicago Wolves
27-17-3, 57pts

Team Stats
L1	Streak	W1
16-7-3	Home Record	17-7-1
6-9-4	Away Record	10-10-2
2-5-3	Last 10 Games	6-3-1
4.13	Goals Per Game	4.30
3.53	Goals Against Per Game	4.30
26.72%	Power Play Percentage	24.48%
84.47%	Penalty Kill Percentage	75.43%

Chicago Wolves
27-17-3, 57pts

2026-01-17

Utica Comets
28-17-2, 58pts

Team Stats
W1	Streak	L1
17-7-1	Home Record	13-8-1
10-10-2	Away Record	15-9-1
6-3-1	Last 10 Games	8-2-0
4.30	Goals Per Game	4.38
3.26	Goals Against Per Game	4.38
24.48%	Power Play Percentage	25.81%
75.43%	Penalty Kill Percentage	73.24%

Rochester Americans
35-11-0, 70pts

2026-01-19

Chicago Wolves
27-17-3, 57pts

Team Stats
W1	Streak	W1
17-7-0	Home Record	17-7-1
18-4-0	Away Record	10-10-2
8-2-0	Last 10 Games	6-3-1
4.85	Goals Per Game	4.30
2.54	Goals Against Per Game	4.30
24.14%	Power Play Percentage	24.48%
79.70%	Penalty Kill Percentage	75.43%

Team Leaders
	Goals Adam Edstrom 26	Assists Matthew Highmore 39

	Points Matthew Highmore 59	Plus/Minus Michael Callahan 35

	Wins Ales Stezka 26	Save Percentage Jakub Skarek 0.979

Team Stats
Goals For 202 4.30 GFG	Shots For 2076 44.17 Avg	Power Play Percentage 24.5% 35 GF	Offensive Zone Start 44.1%
Goals Against 153 3.26 GAA	Shots Against 1468 31.23 Avg	Penalty Kill Percentage 75.4%% 43 GA	Defensive Zone Start 37.0%

Team Info
	General Manager	Christopher Dorion
	Division	Centrale
	Conference	Ouest
	Captain	Chris Wagner
	Assistant #1
	Assistant #2	Joe Hicketts
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	23
	Farm Team	20
	Contract Limit	43 / 250
	Prospects	21

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	Adam Edstrom	X	X	X		100.00	86	53	86	62	99	79	80	63	65	60	61	64	62	65	67	47	40	65	0	23	1	846,667$
2	Matthew Highmore	X				100.00	69	36	94	65	70	79	81	63	67	64	59	68	57	69	70	36	40	65	0	28	1	775,000$
3	Chris Wagner (C)			X		100.00	75	43	74	63	73	79	80	62	65	60	64	63	62	76	77	31	40	65	0	33	1	775,000$
4	Matt Rempe	X		X		100.00	87	86	53	66	99	73	82	63	59	61	61	62	58	64	65	49	40	65	0	22	1	820,000$
5	Bo Groulx (R)	X				100.00	73	40	78	64	81	84	77	65	73	62	59	68	63	65	67	68	40	64	0	24	1	775,000$
6	Bradly Nadeau (R)		X			100.00	61	37	83	67	68	84	72	66	62	67	64	63	68	61	63	80	40	64	0	19	3	918,333$
7	Ryan Suzuki	X				100.00	67	38	89	65	77	78	83	62	74	63	58	62	61	64	66	78	40	64	0	23	1	775,000$
8	Cam Lund (R)	X	X	X		100.00	61	36	89	65	79	78	61	64	70	61	62	63	65	60	61	77	40	63	0	20	1	750,000$
9	Ivan Ivan	X				100.00	62	37	88	66	72	76	87	62	65	60	61	63	62	64	65	45	40	63	0	22	2	845,000$
10	Skyler Brind'Amour	X				100.00	67	38	87	62	79	84	83	58	66	56	61	59	62	66	68	47	40	63	0	25	1	775,000$
11	Curtis Douglas	X				100.00	90	82	51	57	99	75	82	55	64	57	56	63	56	65	67	58	40	62	0	24	2	775,000$
12	Luke Tuch (R)		X			100.00	76	41	73	58	85	75	68	56	52	55	54	59	56	63	65	72	40	60	0	22	2	925,000$
13	Owen Pickering (R)				X	100.00	75	39	93	64	89	81	73	63	30	60	59	66	50	61	63	82	40	64	0	20	3	1,136,667$
14	Michael Callahan (R)				X	100.00	68	40	85	62	81	80	85	58	30	60	57	61	49	66	68	53	40	63	0	25	1	775,000$
15	Dysin Mayo				X	100.00	68	43	66	58	77	71	83	56	30	57	55	59	47	69	71	47	40	61	0	28	1	950,000$
16	Joe Hicketts (A)				X	100.00	55	37	80	61	64	68	77	59	30	64	53	55	47	69	74	36	40	61	0	28	1	775,000$
17	Nicolas Mattinen (R)				X	100.00	86	51	89	54	95	70	63	53	30	55	50	59	45	67	69	42	40	60	0	26	1	775,000$
18	Mitchell Vande Sompel				X	100.00	61	36	95	56	72	62	70	55	30	54	52	53	45	68	70	53	40	59	0	27	1	750,000$
Scratches
1	Zac Funk (R)		X	X		100.00	67	41	72	58	76	89	61	57	59	55	56	54	57	62	64	44	40	59	0	21	3	1,033,333$
2	Leo Loof				X	100.00	66	41	75	54	76	61	83	53	30	57	50	55	45	63	65	63	40	58	0	22	2	925,000$

	TEAM AVERAGE					100.00	71	45	80	61	81	76	77	60	53	59	58	61	56	65	67	55	40	62

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	Ales Stezka	100.00	75	81	76	84	74	73	75	74	73	75	74	68	81	55	40	67	0	27	1	750,000$
2	Jakub Skarek	100.00	74	82	78	89	73	72	74	73	72	74	73	66	75	62	40	66	0	24	1	775,000$
Scratches
1	Kevin Mandolese	100.00	71	79	75	82	70	69	71	70	69	71	70	65	73	47	40	64	0	24	1	775,000$

	TEAM AVERAGE	100.00	73	81	76	85	72	71	73	72	71	73	72	66	76	55	40	66

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Matthew Highmore	Chicago Wolves (CAR)	C	47	20	39	59	20	4	0	19	179	219	53	148	9.13%	14	1041	22.15	6	10	16	39	106	0	0	0	3	180	3	0	56.52%	1481	1	1.13	1	2	0	0	0	2	4	2
2	Bo Groulx	Chicago Wolves (CAR)	C	47	24	33	57	28	16	0	52	115	230	72	140	10.43%	27	975	20.75	4	9	13	44	120	1	0	1	13	179	2	1	58.84%	831	0	1.17	2	5	0	0	0	3	3	3
3	Adam Edstrom	Chicago Wolves (CAR)	C/LW/RW	44	26	25	51	26	12	0	61	71	193	50	133	13.47%	10	873	19.85	4	6	10	24	108	0	0	0	2	34	2	2	54.29%	175	2	1.17	0	2	0	0	0	3	3	4
4	Matt Rempe	Chicago Wolves (CAR)	C/RW	44	14	32	46	28	58	10	167	47	173	34	131	8.09%	3	724	16.48	0	2	2	2	6	0	0	0	0	0	0	2	59.18%	49	1	1.27	1	1	1	1	0	4	1	1
5	Owen Pickering	Chicago Wolves (CAR)	D	47	16	30	46	19	32	0	108	60	117	37	58	13.68%	71	1087	23.14	8	4	12	44	104	0	0	0	1	98	2	0	0%	0	0	0.85	0	0	0	0	0	1	7	2
6	Ryan Suzuki	Chicago Wolves (CAR)	C	47	9	25	34	-2	4	0	47	72	143	40	94	6.29%	9	693	14.75	3	7	10	24	104	0	0	0	0	0	2	0	54.72%	583	0	0.98	0	3	0	0	0	2	2	0
7	Michael Callahan	Chicago Wolves (CAR)	D	47	9	25	34	35	28	0	79	35	59	18	36	15.25%	73	1011	21.52	2	4	6	10	41	0	0	0	5	150	1	0	0%	0	0	0.67	0	0	0	0	0	1	2	3
8	Chris Wagner	Chicago Wolves (CAR)	RW	47	15	17	32	18	24	0	89	61	178	56	134	8.43%	11	813	17.30	1	1	2	28	115	0	0	0	0	0	2	1	44.19%	43	0	0.79	2	5	0	0	0	2	0	2
9	Cam Lund	Chicago Wolves (CAR)	C/LW/RW	47	14	15	29	9	6	0	34	53	166	40	113	8.43%	1	655	13.95	1	4	5	31	125	0	0	0	2	12	2	2	57.79%	289	0	0.88	0	2	0	0	0	1	0	0
10	Ivan Ivan	Chicago Wolves (CAR)	C	47	13	14	27	10	10	0	34	47	126	36	89	10.32%	8	650	13.84	1	6	7	30	94	1	0	1	6	74	3	2	45.73%	164	2	0.83	0	1	0	0	0	3	1	1
11	Ivan Miroshnichenko	Carolina Hurricanes	LW	29	8	15	23	15	8	0	22	33	96	30	81	8.33%	4	435	15.02	0	0	0	4	20	0	0	0	0	2	1	1	62.86%	35	0	1.06	0	1	0	0	0	2	1	0
12	Dysin Mayo	Chicago Wolves (CAR)	D	47	2	16	18	12	60	0	133	24	26	5	25	7.69%	77	862	18.35	0	1	1	1	2	0	1	1	1	116	0	0	0%	0	0	0.42	0	0	0	0	0	0	1	0
13	Joe Hicketts	Chicago Wolves (CAR)	D	47	2	14	16	25	8	0	41	38	26	8	16	7.69%	55	926	19.71	0	0	0	0	8	0	0	0	2	134	1	0	0%	0	0	0.35	0	0	0	0	0	0	0	0
14	Nicolas Mattinen	Chicago Wolves (CAR)	D	47	2	14	16	16	38	0	96	20	20	14	21	10.00%	38	675	14.36	0	0	0	0	0	0	0	0	0	9	1	0	0%	0	0	0.47	0	0	0	0	0	0	0	1
15	Skyler Brind'Amour	Chicago Wolves (CAR)	C	47	5	10	15	6	4	0	15	43	61	14	46	8.20%	4	394	8.40	0	1	1	2	30	0	0	0	0	0	1	1	54.88%	430	0	0.76	1	1	0	0	0	0	0	2
16	Curtis Douglas	Chicago Wolves (CAR)	C	45	8	4	12	1	32	10	98	29	55	15	44	14.55%	6	445	9.90	4	3	7	12	82	0	0	0	0	64	1	1	55.73%	192	0	0.54	0	0	1	0	1	1	1	0
17	Scott Morrow	Carolina Hurricanes	D	22	4	7	11	-3	20	0	37	30	27	13	29	14.81%	30	469	21.33	1	2	3	8	30	0	0	0	0	46	0	0	0%	0	0	0.47	0	0	0	0	0	0	1	0
18	Max Jones	Carolina Hurricanes	LW/RW	7	1	7	8	1	4	0	19	6	37	5	20	2.70%	2	148	21.26	0	3	3	11	21	0	0	0	0	11	0	1	70.59%	17	0	1.08	0	0	0	0	0	1	0	0
19	Bradly Nadeau	Chicago Wolves (CAR)	LW	8	2	5	7	0	0	0	4	10	35	13	37	5.71%	1	163	20.44	0	1	1	4	15	0	0	0	0	1	0	0	58.33%	12	0	0.86	0	1	0	0	0	0	0	1
20	Luke Tuch	Chicago Wolves (CAR)	LW	45	2	5	7	-6	10	0	27	31	47	12	37	4.26%	4	380	8.45	0	0	0	2	19	0	0	0	0	0	0	0	34.78%	23	0	0.37	0	0	0	0	0	0	0	0
21	Zac Funk	Chicago Wolves (CAR)	LW/RW	11	3	1	4	5	0	0	0	5	16	0	6	18.75%	1	72	6.56	0	0	0	0	0	0	0	0	0	0	0	0	75.00%	4	0	1.11	0	0	0	0	0	0	0	0
22	Leo Loof	Chicago Wolves (CAR)	D	4	0	2	2	2	4	0	6	3	2	1	6	0%	2	67	16.89	0	0	0	1	16	0	1	1	0	2	0	0	0%	0	0	0.59	0	0	0	0	0	0	0	0
23	Mitchell Vande Sompel	Chicago Wolves (CAR)	D	21	1	0	1	7	8	0	13	3	18	6	9	5.56%	18	358	17.05	0	0	0	6	39	0	0	0	0	17	0	0	0%	0	0	0.06	0	0	0	0	0	0	0	0
24	John Leonard	Carolina Hurricanes	LW/RW	2	0	0	0	-1	0	0	5	3	13	1	5	0%	1	33	16.65	0	0	0	2	5	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				846	200	355	555	271	390	20	1206	1018	2083	573	1458	9.60%	470	13958	16.50	35	64	99	329	1218	2	2	4	35	1137	24	14	56.03%	4328	6	0.80	7	24	2	1	1	26	27	22

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	A	EG	PS %	PSA	ST	BG	S3
1	Ales Stezka	Chicago Wolves (CAR)	47	26	17	3	0.896	3.22	2762	2	1	148	1419	1	2	0.750	20	47	0	4
2	Jakub Skarek	Chicago Wolves (CAR)	2	1	0	0	0.979	0.71	85	0	0	1	47	0	0	0.667	3	0	47	0
Team Total or Average			49	27	17	3	0.898	3.14	2847	2	1	149	1466	1	2		23	47	47	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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	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 Edstrom	Chicago Wolves (CAR)	C/LW/RW	23	2000-10-12	SWE	No	241 Lbs	6 ft7	No	No	Assign Manually		No	No	1	2025-07-15	False	False	Pro & Farm	846,667$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ales Stezka	Chicago Wolves (CAR)	G	27	1997-01-06	CZE	No	190 Lbs	6 ft4	No	No	Trade	2025-08-24	No	Yes	1	2025-07-15	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Bo Groulx	Chicago Wolves (CAR)	C	24	2000-02-06	CAN	Yes	198 Lbs	6 ft2	No	No	Trade	2025-09-11	No	Yes	1	2025-07-16	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Bradly Nadeau	Chicago Wolves (CAR)	LW	19	2005-05-05	CAN	Yes	172 Lbs	5 ft11	No	No	Trade	2026-01-01	No	No	3	2025-07-16	False	False	Pro & Farm	918,333$	0$	0$	No	918,333$	918,333$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Cam Lund	Chicago Wolves (CAR)	C/LW/RW	20	2004-06-07	USA	Yes	195 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-07-16	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Chris Wagner	Chicago Wolves (CAR)	RW	33	1991-05-27	USA	No	192 Lbs	6 ft0	No	No	Trade	2025-07-18	No	Yes	1	2024-09-15	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Curtis Douglas	Chicago Wolves (CAR)	C	24	2000-03-06	CAN	No	235 Lbs	6 ft9	No	No	Trade	2025-01-26	No	Yes	2	2025-07-16	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dysin Mayo	Chicago Wolves (CAR)	D	28	1996-08-17	CAN	No	183 Lbs	6 ft2	No	No	Trade	2025-07-18	No	Yes	1		False	False	Pro & Farm	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ivan Ivan	Chicago Wolves (CAR)	C	22	2002-08-20	CZE	No	190 Lbs	6 ft0	No	No	Trade	2025-01-04	No	No	2	2024-09-22	False	False	Pro & Farm	845,000$	0$	0$	No	845,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jakub Skarek	Chicago Wolves (CAR)	G	24	1999-11-10	CZE	No	211 Lbs	6 ft4	No	No	N/A		No	Yes	1	2024-07-27	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Joe Hicketts	Chicago Wolves (CAR)	D	28	1996-05-04	CAN	No	180 Lbs	5 ft8	No	No	Trade	2025-07-18	No	Yes	1	2024-09-15	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kevin Mandolese	Chicago Wolves (CAR)	G	24	2000-08-22	CAN	No	180 Lbs	6 ft4	No	No	N/A		No	Yes	1	2025-07-16	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Leo Loof	Chicago Wolves (CAR)	D	22	2002-04-25	SWE	No	176 Lbs	6 ft2	No	No	Trade	2024-09-15	No	No	2	2024-09-19	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Tuch	Chicago Wolves (CAR)	LW	22	2002-03-07	USA	Yes	209 Lbs	6 ft3	No	No	Trade	2025-10-30	No	No	2	2025-07-16	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Matt Rempe	Chicago Wolves (CAR)	C/RW	22	2002-06-29	CAN	No	255 Lbs	6 ft9	No	No	Prospect		No	No	1	2025-07-16	False	False	Pro & Farm	820,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Highmore	Chicago Wolves (CAR)	C	28	1996-02-27	CAN	No	186 Lbs	5 ft11	No	No	N/A		No	Yes	1	2025-07-16	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Michael Callahan	Chicago Wolves (CAR)	D	25	1999-09-23	USA	Yes	199 Lbs	6 ft2	No	No	Trade	2025-09-11	No	Yes	1	2025-07-16	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mitchell Vande Sompel	Chicago Wolves (CAR)	D	27	1997-02-11	CAN	No	198 Lbs	5 ft11	No	No	N/A		No	Yes	1	2025-07-16	False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nicolas Mattinen	Chicago Wolves (CAR)	D	26	1998-03-05	CAN	Yes	215 Lbs	6 ft6	No	No	Trade	2025-09-11	No	Yes	1	2025-07-16	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Owen Pickering	Chicago Wolves (CAR)	D	20	2004-01-27	CAN	Yes	200 Lbs	6 ft5	No	No	Trade	2025-07-16	No	No	3	2025-07-16	False	False	Pro & Farm	1,136,667$	0$	0$	No	1,136,667$	1,136,667$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ryan Suzuki	Chicago Wolves (CAR)	C	23	2001-05-28	CAN	No	196 Lbs	6 ft1	No	No	Trade	2025-01-24	No	No	1	2025-07-16	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Skyler Brind'Amour	Chicago Wolves (CAR)	C	25	1999-07-27	USA	No	195 Lbs	6 ft2	No	No	Trade	2024-09-18	No	Yes	1	2025-07-16	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Zac Funk	Chicago Wolves (CAR)	LW/RW	21	2003-07-20	CAN	Yes	210 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2025-07-16	False	False	Pro & Farm	1,033,333$	0$	0$	No	1,033,333$	1,033,333$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	24.22	200 Lbs	6 ft2	1.43	833,696$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Bradly Nadeau	Ryan Suzuki	Chris Wagner	40	1	2	2
2	Adam Edstrom	Bo Groulx	Matt Rempe	30	1	2	2
3	Cam Lund	Matthew Highmore	Ivan Ivan	20	1	2	2
4	Luke Tuch	Skyler Brind'Amour	Curtis Douglas	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Owen Pickering	Michael Callahan	40	1	2	2
2	Dysin Mayo	Joe Hicketts	30	1	2	2
3	Mitchell Vande Sompel	Nicolas Mattinen	20	1	2	2
4	Dysin Mayo	Joe Hicketts	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Bo Groulx	Cam Lund	Adam Edstrom	60	1	2	2
2	Curtis Douglas	Ivan Ivan	Ryan Suzuki	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Bradly Nadeau	Mitchell Vande Sompel	60	1	2	2
2	Matthew Highmore	Owen Pickering	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matthew Highmore	Bo Groulx	60	1	2	2
2	Curtis Douglas	Ivan Ivan	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Owen Pickering	Michael Callahan	60	1	2	2
2	Dysin Mayo	Joe Hicketts	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Matthew Highmore	60	1	2	2	Owen Pickering	Michael Callahan	60	1	2	2
2	Bo Groulx	40	1	2	2	Dysin Mayo	Joe Hicketts	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matthew Highmore	Bo Groulx	60	1	2	2
2	Cam Lund	Chris Wagner	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Owen Pickering	Michael Callahan	60	1	2	2
2	Dysin Mayo	Joe Hicketts	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Bo Groulx	Matthew Highmore	Chris Wagner	Michael Callahan	Owen Pickering

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Bo Groulx	Matthew Highmore	Chris Wagner	Michael Callahan	Owen Pickering

Extra Forwards
Normal	PowerPlay	Penalty Kill
Cam Lund, Ryan Suzuki, Bo Groulx	Bo Groulx, Ryan Suzuki	Bo Groulx

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Joe Hicketts, Michael Callahan, Nicolas Mattinen	Joe Hicketts	Joe Hicketts, Michael Callahan

Penalty Shots
Bradly Nadeau, Chris Wagner, Bo Groulx, Adam Edstrom, Cam Lund

Goalie
#1 : Ales Stezka, #2 : Jakub Skarek

Custom OT Lines Forwards
Skyler Brind'Amour, Bo Groulx, Matthew Highmore, Chris Wagner, Ryan Suzuki, Cam Lund, Ivan Ivan, Curtis Douglas, Adam Edstrom, Matt Rempe

Custom OT Lines Defensemen
Michael Callahan, Joe Hicketts, Owen Pickering, Dysin Mayo, Nicolas Mattinen

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	Abbotsford Canucks	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	84	66	48	8	28	669	714	677	39	31	8	13	33	3	1	33.33%	3	1	66.67%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
2	Bakersfield Condors	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	6	10	0	0	84	66	48	8	92	669	714	677	39	11	9	0	20	0	0	0%	0	0	0%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
3	Bridgeport Islanders	1	1	0	0	0	0	0	0	11	0	11	1	1	0	0	0	0	0	0	11	0	11	0	0	0	0	0	0	0	0	0	0	0	2	1.000	11	19	30	0	1	84	66	48	8	67	669	714	677	39	23	10	9	24	4	1	25.00%	2	0	100.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
4	Calgary Wranglers	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	84	66	48	8	38	669	714	677	39	41	26	14	21	1	0	0.00%	7	1	85.71%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
5	Charlotte Checkers	2	0	1	0	1	0	0	0	5	7	-2	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	5	10	15	0	0	84	66	48	8	85	669	714	677	39	80	25	26	51	0	0	0%	13	2	84.62%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
6	Cleveland Monsters	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	84	66	48	8	32	669	714	677	39	23	8	6	19	4	0	0.00%	3	0	100.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
7	Coachella Firebirds	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	84	66	48	8	31	669	714	677	39	32	10	6	19	4	1	25.00%	3	1	66.67%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
8	Colorado Eagles	2	2	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	11	17	0	0	84	66	48	8	73	669	714	677	39	48	15	14	42	4	2	50.00%	5	0	100.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
9	Grand Rapids Griffins	2	1	0	0	0	0	0	1	11	10	1	1	1	0	0	0	0	0	0	6	4	2	1	0	0	0	0	0	0	1	5	6	-1	3	0.750	11	22	33	0	0	84	66	48	8	96	669	714	677	39	86	33	10	70	5	2	40.00%	5	3	40.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
10	Hartford Wolf Pack	3	3	0	0	0	0	0	0	14	7	7	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	5	3	2	6	1.000	14	24	38	0	0	84	66	48	8	115	669	714	677	39	85	20	18	88	12	3	25.00%	9	3	66.67%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
11	Henderson Silver Knights	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	9	16	25	0	0	84	66	48	8	96	669	714	677	39	63	19	20	64	13	2	15.38%	10	2	80.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
12	Hershey Bears	2	1	0	0	0	1	0	0	8	8	0	1	0	0	0	0	1	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	3	1	3	0.750	8	13	21	0	0	84	66	48	8	79	669	714	677	39	67	15	20	57	3	1	33.33%	10	1	90.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
13	Iowa Wild	2	2	0	0	0	0	0	0	19	3	16	1	1	0	0	0	0	0	0	13	1	12	1	1	0	0	0	0	0	0	6	2	4	4	1.000	19	33	52	0	0	84	66	48	8	130	669	714	677	39	49	9	10	44	1	1	100.00%	5	2	60.00%	1	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
14	Laval Rocket	1	0	0	0	0	0	1	0	5	4	1	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	6	11	0	0	84	66	48	8	33	669	714	677	39	30	16	8	19	5	3	60.00%	4	0	100.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
15	Lehigh Valley Phantoms	3	0	3	0	0	0	0	0	6	12	-6	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	6	10	16	0	0	84	66	48	8	97	669	714	677	39	96	34	31	74	11	3	27.27%	12	7	41.67%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
16	Manitoba Moose	2	1	0	0	0	0	1	0	8	4	4	1	1	0	0	0	0	0	0	5	2	3	1	0	0	0	0	0	1	0	3	2	1	4	1.000	8	13	21	0	0	84	66	48	8	109	669	714	677	39	83	20	16	40	2	1	50.00%	8	0	100.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
17	Milwaukee Admirals	2	1	0	0	0	0	0	1	10	7	3	1	1	0	0	0	0	0	0	7	3	4	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	10	19	29	0	0	84	66	48	8	100	669	714	677	39	45	25	18	49	7	0	0.00%	8	4	50.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
18	Ontario Reign	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	84	66	48	8	36	669	714	677	39	35	15	10	22	8	1	12.50%	5	2	60.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
19	Providence Bruins	2	0	2	0	0	0	0	0	4	8	-4	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	4	8	-4	0	0.000	4	8	12	1	0	84	66	48	8	62	669	714	677	39	53	14	12	52	10	0	0.00%	5	0	100.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
20	Rochester Americans	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	6	9	1	0	84	66	48	8	69	669	714	677	39	71	23	16	54	7	0	0.00%	7	2	71.43%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
21	San Diego Gulls	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	7	13	20	0	0	84	66	48	8	70	669	714	677	39	70	13	22	56	7	2	28.57%	11	2	81.82%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
22	San Jose Barracuda	2	1	1	0	0	0	0	0	10	10	0	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	10	18	28	0	0	84	66	48	8	87	669	714	677	39	84	30	23	53	8	2	25.00%	9	2	77.78%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
23	Springfield Thunderbirds	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	84	66	48	8	57	669	714	677	39	26	6	10	17	1	0	0.00%	5	2	60.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
24	Syracuse Crunch	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	10	15	0	0	84	66	48	8	46	669	714	677	39	28	7	6	25	3	2	66.67%	3	0	100.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
25	Texas Stars	2	2	0	0	0	0	0	0	23	4	19	1	1	0	0	0	0	0	0	12	3	9	1	1	0	0	0	0	0	0	11	1	10	4	1.000	23	42	65	0	0	84	66	48	8	145	669	714	677	39	52	9	12	52	2	2	100.00%	6	0	100.00%	1	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
26	Toronto Marlies	2	1	0	0	0	0	1	0	10	7	3	1	1	0	0	0	0	0	0	6	4	2	1	0	0	0	0	0	1	0	4	3	1	4	1.000	10	14	24	0	0	84	66	48	8	74	669	714	677	39	65	23	14	59	8	2	25.00%	7	1	85.71%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
27	Utica Comets	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	13	20	0	0	84	66	48	8	93	669	714	677	39	59	20	14	41	7	2	28.57%	6	3	50.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
28	Wilkes-Barre Scranton Penguins	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	84	66	48	8	36	669	714	677	39	32	7	8	25	3	1	33.33%	4	2	50.00%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
	Total	47	23	17	0	1	1	3	2	202	153	49	25	15	7	0	1	1	1	0	121	75	46	22	8	10	0	0	0	2	2	81	78	3	57	0.606	202	358	560	2	1	84	66	48	8	2076	669	714	677	39	1468	469	386	1190	143	35	24.48%	175	43	75.43%	2	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
	_Since Last GM Reset	47	23	17	0	1	1	3	2	202	153	49	25	15	7	0	1	1	1	0	121	75	46	22	8	10	0	0	0	2	2	81	78	3	57	0.606	202	358	560	2	1	84	66	48	8	2076	669	714	677	39	1468	469	386	1190	143	35	24.48%	175	43	75.43%	2	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
	_Vs Conference	23	14	6	0	0	0	1	2	115	72	43	13	10	3	0	0	0	0	0	71	38	33	10	4	3	0	0	0	1	2	44	34	10	32	0.696	115	208	323	0	0	84	66	48	8	1131	669	714	677	39	730	241	188	585	65	17	26.15%	85	20	76.47%	2	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308
	_Vs Division	11	7	0	0	0	0	1	2	38	42	-4	7	5	0	0	0	0	0	0	25	24	1	4	2	0	0	0	0	1	2	13	18	-5	18	0.818	38	68	106	0	0	84	66	48	8	478	669	714	677	39	367	130	108	288	44	9	20.45%	48	11	77.08%	0	1071	1914	55.96%	911	1605	56.76%	447	822	54.38%	1227	873	1021	331	599	308

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
47	57	W1	202	358	560	2076	1468	469	386	1190	2	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
47	23	17	1	1	3	2	202	153

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	15	7	1	1	1	0	121	75

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	8	10	0	0	2	2	81	78

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
143	35	24.48%	175	43	75.43%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
669	714	677	39	84	66	48	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1071	1914	55.96%	911	1605	56.76%	447	822	54.38%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1227	873	1021	331	599	308

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	SO	Link
3 - 2025-10-09	14	Utica Comets	1	Chicago Wolves	4	W			Box score
5 - 2025-10-11	30	Lehigh Valley Phantoms	3	Chicago Wolves	0	L			Box score
8 - 2025-10-14	55	Chicago Wolves	4	San Jose Barracuda	6	L			Box score
10 - 2025-10-16	70	Chicago Wolves	4	San Diego Gulls	5	L			Box score
12 - 2025-10-18	86	Chicago Wolves	1	Ontario Reign	5	L			Box score
14 - 2025-10-20	97	Chicago Wolves	4	Henderson Silver Knights	2	W			Box score
17 - 2025-10-23	121	Chicago Wolves	3	Colorado Eagles	1	W			Box score
19 - 2025-10-25	138	Chicago Wolves	11	Texas Stars	1	W			Box score
22 - 2025-10-28	155	Henderson Silver Knights	4	Chicago Wolves	5	W			Box score
24 - 2025-10-30	171	Bridgeport Islanders	0	Chicago Wolves	11	W			Box score
26 - 2025-11-01	181	Chicago Wolves	1	Providence Bruins	3	L			Box score
29 - 2025-11-04	206	Chicago Wolves	5	Hartford Wolf Pack	3	W			Box score
31 - 2025-11-06	222	Iowa Wild	1	Chicago Wolves	13	W			Box score
33 - 2025-11-08	238	Rochester Americans	4	Chicago Wolves	1	L			Box score
34 - 2025-11-09	246	Chicago Wolves	4	Toronto Marlies	3	W	X	X	Box score
36 - 2025-11-11	259	Hershey Bears	5	Chicago Wolves	4	L	X		Box score
39 - 2025-11-14	279	Abbotsford Canucks	4	Chicago Wolves	2	L			Box score
40 - 2025-11-15	289	Bakersfield Condors	1	Chicago Wolves	4	W			Box score
42 - 2025-11-17	301	Chicago Wolves	3	Providence Bruins	5	L			Box score
44 - 2025-11-19	317	Chicago Wolves	6	Iowa Wild	2	W			Box score
46 - 2025-11-21	333	Chicago Wolves	3	Manitoba Moose	2	W	X	X	Box score
48 - 2025-11-23	347	Chicago Wolves	2	Rochester Americans	4	L			Box score
51 - 2025-11-26	368	Hartford Wolf Pack	3	Chicago Wolves	4	W			Box score
53 - 2025-11-28	387	Manitoba Moose	2	Chicago Wolves	5	W			Box score
55 - 2025-11-30	404	Calgary Wranglers	5	Chicago Wolves	3	L			Box score
59 - 2025-12-04	431	Toronto Marlies	4	Chicago Wolves	6	W			Box score
61 - 2025-12-06	447	Milwaukee Admirals	3	Chicago Wolves	7	W			Box score
62 - 2025-12-07	455	San Jose Barracuda	4	Chicago Wolves	6	W			Box score
64 - 2025-12-09	471	Cleveland Monsters	4	Chicago Wolves	2	L			Box score
66 - 2025-12-11	485	Chicago Wolves	4	Hershey Bears	3	W			Box score
68 - 2025-12-13	501	Chicago Wolves	2	Lehigh Valley Phantoms	4	L			Box score
69 - 2025-12-14	510	Lehigh Valley Phantoms	5	Chicago Wolves	4	L			Box score
72 - 2025-12-17	532	Chicago Wolves	3	Milwaukee Admirals	4	L	X	X	Box score
74 - 2025-12-19	544	Chicago Wolves	1	Charlotte Checkers	4	L			Box score
75 - 2025-12-20	557	Chicago Wolves	5	Syracuse Crunch	3	W			Box score
78 - 2025-12-23	581	Charlotte Checkers	3	Chicago Wolves	4	W	X		Box score
82 - 2025-12-27	593	Grand Rapids Griffins	4	Chicago Wolves	6	W			Box score
84 - 2025-12-29	608	Hartford Wolf Pack	1	Chicago Wolves	5	W			Box score
85 - 2025-12-30	619	Chicago Wolves	2	Wilkes-Barre Scranton Penguins	4	L			Box score
87 - 2026-01-01	636	Laval Rocket	4	Chicago Wolves	5	W	X	X	Box score
89 - 2026-01-03	653	Colorado Eagles	1	Chicago Wolves	3	W			Box score
90 - 2026-01-04	660	Chicago Wolves	3	Utica Comets	5	L			Box score
92 - 2026-01-06	671	Texas Stars	3	Chicago Wolves	12	W			Box score
94 - 2026-01-08	688	San Diego Gulls	1	Chicago Wolves	3	W			Box score
96 - 2026-01-10	706	Coachella Firebirds	5	Chicago Wolves	2	L			Box score
98 - 2026-01-12	717	Chicago Wolves	5	Grand Rapids Griffins	6	L	X	X	Box score
99 - 2026-01-13	730	Chicago Wolves	5	Springfield Thunderbirds	3	W			Box score
102 - 2026-01-16	750	Charlotte Checkers	-	Chicago Wolves	-
103 - 2026-01-17	759	Chicago Wolves	-	Utica Comets	-
105 - 2026-01-19	770	Rochester Americans	-	Chicago Wolves	-
108 - 2026-01-22	796	Rockford IceHogs	-	Chicago Wolves	-
110 - 2026-01-24	813	Chicago Wolves	-	Belleville Senators	-
115 - 2026-01-29	851	Tucson Roadrunners	-	Chicago Wolves	-
117 - 2026-01-31	864	Chicago Wolves	-	Hershey Bears	-
118 - 2026-02-01	874	Ontario Reign	-	Chicago Wolves	-
120 - 2026-02-03	890	Belleville Senators	-	Chicago Wolves	-
122 - 2026-02-05	906	Chicago Wolves	-	Hartford Wolf Pack	-
143 - 2026-02-26	923	Syracuse Crunch	-	Chicago Wolves	-
145 - 2026-02-28	942	Grand Rapids Griffins	-	Chicago Wolves	-
147 - 2026-03-02	957	Chicago Wolves	-	Coachella Firebirds	-
149 - 2026-03-04	972	Chicago Wolves	-	Abbotsford Canucks	-
151 - 2026-03-06	986	Chicago Wolves	-	Bakersfield Condors	-
152 - 2026-03-07	998	Chicago Wolves	-	Calgary Wranglers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-03-10	1018	Wilkes-Barre Scranton Penguins	-	Chicago Wolves	-
157 - 2026-03-12	1033	Springfield Thunderbirds	-	Chicago Wolves	-
159 - 2026-03-14	1049	Chicago Wolves	-	Syracuse Crunch	-
162 - 2026-03-17	1070	Chicago Wolves	-	Cleveland Monsters	-
163 - 2026-03-18	1078	Wilkes-Barre Scranton Penguins	-	Chicago Wolves	-
165 - 2026-03-20	1094	Chicago Wolves	-	Toronto Marlies	-
167 - 2026-03-22	1112	Chicago Wolves	-	Wilkes-Barre Scranton Penguins	-
169 - 2026-03-24	1121	Chicago Wolves	-	Laval Rocket	-
173 - 2026-03-28	1157	Utica Comets	-	Chicago Wolves	-
174 - 2026-03-29	1169	Laval Rocket	-	Chicago Wolves	-
176 - 2026-03-31	1185	Chicago Wolves	-	Cleveland Monsters	-
178 - 2026-04-02	1197	Cleveland Monsters	-	Chicago Wolves	-
180 - 2026-04-04	1214	Bridgeport Islanders	-	Chicago Wolves	-
181 - 2026-04-05	1225	Chicago Wolves	-	Belleville Senators	-
183 - 2026-04-07	1237	Providence Bruins	-	Chicago Wolves	-
185 - 2026-04-09	1255	Chicago Wolves	-	Rockford IceHogs	-
187 - 2026-04-11	1269	Chicago Wolves	-	Tucson Roadrunners	-
189 - 2026-04-13	1284	Chicago Wolves	-	Lehigh Valley Phantoms	-
190 - 2026-04-14	1293	Chicago Wolves	-	Bridgeport Islanders	-

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
-16	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
5,223,156$	9,587,500$	9,587,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	5,223,156$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	91	49,935$	4,544,085$

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: 47 \| W: 27 \| L: 17 \| OTL: 3 \| P: 57 GF: 202 \| GA: 153 \| PP%: 24.48% \| PK%: 75.43% GM : Christopher Dorion \| Morale : 40 \| Team Overall : 63 Next Games #750 vs Charlotte Checkers