Nordiques
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	Chicago Wolves 24-24-7, 55pts	3	Box score	4	Rimouski Oceanic 28-22-4, 60pts

Team Stats
W1	Streak	W1
14-11-2	Home Record	15-10-2
10-13-5	Home Record	13-12-2
5-1-4	Last 10 Games	4-6-0
5.18	Goals Per Game	5.17
5.25	Goals Against Per Game	4.15
41.96%	Power Play Percentage	41.83%
64.44%	Penalty Kill Percentage	61.90%

Milwaukee Admirals
37-14-3, 77pts

Box score

Chicago Wolves
24-24-7, 55pts

Team Stats
L3	Streak	W1
21-6-0	Home Record	14-11-2
16-8-3	Home Record	10-13-5
6-4-0	Last 10 Games	5-1-4
6.56	Goals Per Game	5.18
4.15	Goals Against Per Game	5.25
44.79%	Power Play Percentage	41.96%
68.72%	Penalty Kill Percentage	64.44%

Chicago Wolves
24-24-7, 55pts

2026-01-09

Hartford Wolf Pack
27-21-6, 60pts

Team Stats
W1	Streak	W2
14-11-2	Home Record	16-10-1
10-13-5	Away Record	11-11-5
5-1-4	Last 10 Games	7-2-1
5.18	Goals Per Game	4.98
5.25	Goals Against Per Game	4.98
41.96%	Power Play Percentage	37.50%
64.44%	Penalty Kill Percentage	73.79%

Brampton Battalion
33-19-2, 68pts

2026-01-10

Chicago Wolves
24-24-7, 55pts

Team Stats
SOW1	Streak	W1
23-4-1	Home Record	14-11-2
10-15-1	Away Record	10-13-5
7-3-0	Last 10 Games	5-1-4
6.13	Goals Per Game	5.18
4.39	Goals Against Per Game	5.18
34.13%	Power Play Percentage	41.96%
67.68%	Penalty Kill Percentage	64.44%

Chicago Wolves
24-24-7, 55pts

2026-01-12

Seattle Thunderbirds
18-32-4, 40pts

Team Stats
W1	Streak	L3
14-11-2	Home Record	11-14-2
10-13-5	Away Record	7-18-2
5-1-4	Last 10 Games	3-7-0
5.18	Goals Per Game	4.09
5.25	Goals Against Per Game	4.09
41.96%	Power Play Percentage	38.76%
64.44%	Penalty Kill Percentage	60.92%

Team Leaders
Goals Valtteri Puustinen 67		Assists Mitchell Stephens 72

Points Valtteri Puustinen 122	Plus/Minus Lukas Rousek 16

Wins Sebastian Cossa 14	Save Percentage Sebastian Cossa 0.867

Team Stats
Goals For 285 5.18 GFG	Shots For 1463 26.60 Avg	Power Play Percentage 42.0% 60 GF	Offensive Zone Start 30.6%
Goals Against 289 5.25 GAA	Shots Against 1715 31.18 Avg	Penalty Kill Percentage 64.4%% 64 GA	Defensive Zone Start 34.6%

Team Info
	General Manager	Camil Costandi
	Coach	Stephane Robidas
	Division	Marcel Dionne
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,921
	Season Tickets	300
Roster Info
	Pro Team	22
	Farm Team	19
	Contract Limit	41 / 63
	Prospects	32
Team History
	This Season	24-24-7 (55PTS)
	History	203-206-33 (0.459%)
	Playoff Appearances	1
	Playoff Record (W-L)	5 - 4 (0.556%)
	Stanley Cup	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	#	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	Valtteri Puustinen	0		X	X		99.00	71	42	90	85	65	55	77	67	25	58	68	64	25	52	52	68	48	62	0	26	1	775,000$
2	Mitchell Stephens	0	X				99.00	73	43	92	79	73	53	79	59	82	57	56	71	25	58	59	64	42	61	0	28	1	775,000$
3	Ivan Miroshnichenko (R)	0		X			100.00	81	44	99	77	69	54	86	68	25	63	57	66	25	47	48	65	57	61	0	21	1	950,000$
4	Lukas Rousek	0		X	X		100.00	75	72	82	68	72	81	87	57	50	62	47	63	45	44	44	60	62	59	0	26	1	800,000$
5	Pavol Regenda	0		X	X		100.00	78	80	74	67	80	56	56	60	50	59	57	65	54	44	44	61	29	57	0	25	1	775,000$
6	Jackson Cates	0	X	X			100.00	75	70	88	64	70	73	79	52	65	45	54	62	51	44	44	59	59	56	0	27	1	775,000$
7	Will Lockwood	0			X		100.00	74	67	89	65	67	51	50	56	70	50	58	62	55	44	44	59	54	55	0	27	1	775,000$
8	Ben Steeves (R)	0		X			100.00	64	61	72	66	61	53	52	58	50	56	56	58	53	44	44	58	48	54	0	23	2	950,000$
9	Ryan Gagnier	0	X				100.00	75	68	90	61	68	40	40	45	56	38	46	60	44	44	44	51	45	49	0	22	1	775,000$
10	Sawyer Boulton (R)	0	X	X	X		100.00	61	74	32	60	74	38	37	44	55	38	44	53	42	44	44	46	62	46	0	20	1	800,000$
11	Jordan Harris	0				X	100.00	69	42	93	72	67	57	55	61	25	50	48	73	25	60	60	59	59	61	0	24	1	825,000$
12	Elias Pettersson2 (R)	0				X	100.00	79	66	82	81	71	60	83	59	25	46	48	65	25	46	46	59	53	61	0	21	3	838,333$
13	Cavan Fitzgerald	0				X	100.00	78	74	86	65	74	52	53	49	25	40	43	62	41	44	44	53	70	55	0	28	1	775,000$
14	David Reinbacher (R)	0				X	100.00	76	77	75	62	77	42	39	54	25	40	53	63	50	44	44	56	47	54	0	20	2	918,333$
15	Djibril Toure	0				X	100.00	73	80	55	62	80	60	64	45	25	34	41	59	39	44	44	50	65	54	0	22	3	805,000$
16	Chad Nychuk	0				X	100.00	74	71	81	61	71	41	41	46	25	37	39	60	37	44	44	50	55	51	0	24	1	775,000$
17	Joe Fleming (R)	0				X	100.00	67	80	37	61	80	44	44	44	25	34	39	56	37	44	44	47	57	50	0	22	1	775,000$
Scratches
1	Wilmer Skoog	0	X				100.00	74	73	75	65	73	55	56	51	64	50	48	61	46	44	44	55	38	53	0	25	1	775,000$
2	Seamus Casey (R)	0				X	100.00	69	41	99	69	59	60	62	64	25	63	68	63	25	45	45	69	28	59	0	21	3	950,000$

	TEAM AVERAGE						99.89	73	64	78	68	71	54	60	55	42	48	51	62	39	46	46	57	51	56

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	Sebastian Cossa (R)	0	97.00	59	53	66	94	61	60	59	65	61	61	30	44	44	60	73	61	0	22	1	863,333$
2	Drew Commesso (R)	0	100.00	58	53	66	70	60	63	56	63	63	62	30	44	44	59	69	58	0	22	1	925,000$
3	Nico Daws	0	100.00	50	54	68	84	48	51	50	55	50	50	30	49	49	51	68	54	0	24	1	812,500$
Scratches

	TEAM AVERAGE		99.00	56	53	67	83	56	58	55	61	58	58	30	46	46	57	70	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Stephane Robidas	72	70	67	67	58	54	1	CAN	48	2	66,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Valtteri Puustinen	Chicago Wolves (QUE)	LW/RW	54	67	55	122	13	31	15	78	93	263	68	145	25.48%	35	1248	23.12	16	19	35	34	95	2	0	2	6	136	6	6	29.47%	95	87	25	6	1.95	0	7	0	2	1	13	6	4
2	Mitchell Stephens	Chicago Wolves (QUE)	C	53	34	72	106	11	64	30	54	132	176	62	100	19.32%	29	1176	22.20	10	27	37	15	96	1	2	3	4	128	3	1	58.76%	1467	40	28	2	1.80	0	3	0	4	2	5	5	2
3	Ivan Miroshnichenko	Chicago Wolves (QUE)	LW	55	26	39	65	-8	24	10	62	83	135	41	89	19.26%	26	912	16.58	2	12	14	7	74	1	0	1	3	71	1	0	35.56%	45	48	17	1	1.43	1	7	0	0	2	0	3	4
4	Pavol Regenda	Chicago Wolves (QUE)	LW/RW	49	35	26	61	-9	118	70	110	80	158	44	95	22.15%	28	1003	20.48	6	2	8	10	67	0	1	1	2	47	2	1	48.68%	76	34	29	2	1.22	0	0	4	6	4	3	1	2
5	Lukas Rousek	Chicago Wolves (QUE)	LW/RW	55	22	37	59	16	85	55	74	56	94	33	60	23.40%	31	1065	19.37	7	11	18	14	99	0	0	0	0	6	2	2	40.91%	66	17	17	2	1.11	0	1	4	3	4	1	2	3
6	Jackson Cates	Chicago Wolves (QUE)	C/LW	55	22	25	47	-6	62	30	70	91	64	15	31	34.38%	22	1023	18.62	4	3	7	6	75	0	1	1	3	87	1	0	53.20%	641	10	14	0	0.92	0	0	3	2	1	0	1	3
7	Jordan Harris	Chicago Wolves (QUE)	D	55	6	32	38	14	12	10	42	104	79	32	27	7.59%	88	1431	26.04	3	8	11	5	110	0	0	0	4	148	1	2	0%	0	18	67	0	0.53	0	0	1	0	1	0	0	2
8	Seamus Casey	Chicago Wolves (QUE)	D	43	5	32	37	-1	27	15	27	48	75	32	28	6.67%	28	878	20.43	4	4	8	5	59	0	0	0	1	83	0	0	12.50%	8	26	32	0	0.84	0	0	0	3	0	2	0	1
9	Elias Pettersson2	Chicago Wolves (QUE)	D	45	9	26	35	3	113	45	65	69	70	23	27	12.86%	63	1070	23.78	6	4	10	11	96	0	0	0	4	96	0	0	0%	0	11	39	0	0.65	0	0	1	2	5	0	1	1
10	Ben Steeves	Chicago Wolves (QUE)	LW	55	17	18	35	-12	43	25	45	58	118	28	65	14.41%	12	694	12.63	0	0	0	0	6	0	0	0	0	4	0	0	63.16%	19	21	15	0	1.01	1	1	0	3	2	0	0	0
11	Will Lockwood	Chicago Wolves (QUE)	RW	55	17	11	28	-5	17	15	60	44	69	24	43	24.64%	17	689	12.54	0	0	0	0	7	0	0	0	0	0	3	1	57.14%	49	18	15	1	0.81	1	1	0	1	2	1	2	1
12	Ryan Gagnier	Chicago Wolves (QUE)	C	46	10	15	25	13	37	35	41	54	36	11	20	27.78%	23	610	13.27	0	0	0	0	1	0	0	0	0	5	2	1	52.73%	256	11	22	0	0.82	0	0	1	1	5	2	0	0
13	Cavan Fitzgerald	Chicago Wolves (QUE)	D	55	3	13	16	6	65	35	52	72	28	8	8	10.71%	50	1056	19.21	2	2	4	3	67	0	0	0	0	95	0	1	60.00%	5	6	43	0	0.30	0	0	4	0	3	0	0	0
14	Wilmer Skoog	Chicago Wolves (QUE)	C	45	3	11	14	-9	24	10	48	45	25	6	18	12.00%	14	488	10.87	0	0	0	0	5	0	0	0	0	17	0	0	51.75%	228	7	13	0	0.57	0	0	0	0	2	0	0	0
15	Sawyer Boulton	Chicago Wolves (QUE)	C/LW/RW	54	7	4	11	-3	115	45	71	40	30	14	20	23.33%	12	631	11.70	0	0	0	0	0	0	0	0	0	0	1	0	63.16%	19	9	9	0	0.35	0	0	3	2	4	0	0	0
16	David Reinbacher	Chicago Wolves (QUE)	D	48	0	9	9	-2	57	45	30	23	17	5	7	0%	27	626	13.06	0	0	0	1	13	0	0	0	0	20	0	0	100.00%	1	3	18	0	0.29	0	0	4	3	2	0	0	0
17	Djibril Toure	Chicago Wolves (QUE)	D	55	0	7	7	-8	112	60	51	34	16	5	3	0%	34	769	13.98	0	0	0	0	8	0	0	0	0	40	0	0	0%	1	4	27	0	0.18	0	0	5	3	4	0	0	0
18	Chad Nychuk	Chicago Wolves (QUE)	D	52	0	6	6	1	11	5	14	29	5	1	4	0%	21	543	10.45	0	0	0	0	3	0	0	0	0	27	0	0	42.86%	7	1	12	0	0.22	0	0	1	0	0	0	0	0
19	Joe Fleming	Chicago Wolves (QUE)	D	55	0	1	1	-2	70	30	29	12	5	2	1	0%	7	412	7.50	0	0	0	0	1	0	0	0	0	4	0	0	0%	3	1	9	0	0.05	0	0	0	1	5	0	0	0
Team Total or Average				984	283	439	722	12	1087	585	1023	1167	1463	454	791	19.34%	567	16334	16.60	60	92	152	111	891	4	4	8	27	1023	22	15	54.39%	2986	372	451	14	0.88	3	20	31	36	49	27	21	23

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	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Sebastian Cossa	Chicago Wolves (QUE)	30	14	9	4	0.867	4.25	1696	2	120	903	511	2	0.250	8	30	0	2	1	1
2	Drew Commesso	Chicago Wolves (QUE)	26	8	12	2	0.817	5.46	1186	4	108	591	310	1	0.667	9	19	41	0	0	0
3	Nico Daws	Chicago Wolves (QUE)	10	2	1	1	0.826	5.04	357	0	30	172	98	0	1.000	3	5	13	0	0	0
Team Total or Average			66	24	22	7	0.845	4.78	3241	6	258	1666	919	3		20	54	54	2	1	1

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
Ben Steeves	Chicago Wolves (QUE)	LW	23	2002-05-10	USA	Yes	170 Lbs	5 ft9	No	No	Assign Manually		No	No	2	2025-06-15	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Cavan Fitzgerald	Chicago Wolves (QUE)	D	28	1996-08-23	USA	No	200 Lbs	6 ft1	No	No	N/A		No	No	1	2025-09-05	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Chad Nychuk	Chicago Wolves (QUE)	D	24	2001-03-06	MAN	No	194 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-10-08	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
David Reinbacher	Chicago Wolves (QUE)	D	20	2004-10-25	AUT	Yes	209 Lbs	6 ft3	No	No	Prospect		No	No	2	2024-06-21	False	False	Pro & Farm	918,333$	0$	0$	No	918,333$	-	-	-	-	-	-	-	-	918,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Djibril Toure	Chicago Wolves (QUE)	D	22	2003-06-05	CAN	No	203 Lbs	6 ft7	No	No	Assign Manually		No	No	3	2025-06-15	False	False	Pro & Farm	805,000$	0$	0$	No	805,000$	805,000$	-	-	-	-	-	-	-	805,000$	805,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Drew Commesso	Chicago Wolves (QUE)	G	22	2002-07-19	USA	Yes	180 Lbs	6 ft2	No	No	Prospect		No	No	1	2024-06-21	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Elias Pettersson2	Chicago Wolves (QUE)	D	21	2004-02-16	SWE	Yes	185 Lbs	6 ft2	No	No	Trade	2025-06-25	No	No	3	2025-06-15	False	False	Pro & Farm	838,333$	0$	0$	No	838,333$	838,333$	-	-	-	-	-	-	-	838,333$	838,333$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ivan Miroshnichenko	Chicago Wolves (QUE)	LW	21	2004-02-04	RUS	Yes	185 Lbs	6 ft1	No	No	Prospect		No	No	1	2024-06-21	False	False	Pro & Farm	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jackson Cates	Chicago Wolves (QUE)	C/LW	27	1997-09-26	USA	No	190 Lbs	6 ft0	No	No	N/A		No	No	1	2025-09-05	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joe Fleming	Chicago Wolves (QUE)	D	22	2003-06-19	USA	Yes	223 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-06-15	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jordan Harris	Chicago Wolves (QUE)	D	24	2000-07-07	USA	No	187 Lbs	5 ft11	No	No	N/A		No	No	1	2025-07-03	False	False	Pro & Farm	825,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Lukas Rousek	Chicago Wolves (QUE)	LW/RW	26	1999-04-20	CZE	No	202 Lbs	5 ft11	No	No	N/A		No	No	1	2025-09-05	False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mitchell Stephens	Chicago Wolves (QUE)	C	28	1997-02-05	CAN	No	203 Lbs	6 ft0	No	No	N/A		No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nico Daws	Chicago Wolves (QUE)	G	24	2000-12-22	GER	No	205 Lbs	6 ft4	No	No	N/A		No	No	1	2024-07-30	False	False	Pro & Farm	812,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Pavol Regenda	Chicago Wolves (QUE)	LW/RW	25	1999-07-12	SVK	No	219 Lbs	6 ft3	No	No	N/A		No	No	1	2025-07-03	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ryan Gagnier	Chicago Wolves (QUE)	C	22	2002-07-16	ON	No	185 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-06-15	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Sawyer Boulton	Chicago Wolves (QUE)	C/LW/RW	20	2004-07-12	USA	Yes	209 Lbs	6 ft0	No	No	Free Agent		No	No	1	2025-10-08	False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Seamus Casey	Chicago Wolves (QUE)	D	21	2004-01-08	USA	Yes	162 Lbs	5 ft10	No	No	Prospect		No	No	3	2025-06-15	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Sebastian Cossa	Chicago Wolves (QUE)	G	22	2002-11-21	CAN	Yes	229 Lbs	6 ft6	No	No	Prospect		No	No	1	2024-06-21	False	False	Pro & Farm	863,333$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Valtteri Puustinen	Chicago Wolves (QUE)	LW/RW	26	1999-06-04	FIN	No	182 Lbs	5 ft10	No	No	N/A		No	No	1	2024-06-21	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Will Lockwood	Chicago Wolves (QUE)	RW	27	1998-06-10	USA	No	185 Lbs	5 ft11	No	No	Assign Manually		No	No	1	2025-06-17	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Wilmer Skoog	Chicago Wolves (QUE)	C	25	1999-07-17	SWE	No	197 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-07-21	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	23.64	196 Lbs	6 ft1	1.36	826,705$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Valtteri Puustinen	Mitchell Stephens	Lukas Rousek	40	1	2	2
2	Ivan Miroshnichenko	Jackson Cates	Pavol Regenda	30	1	2	2
3	Pavol Regenda		Will Lockwood	20	1	2	2
4	Ben Steeves	Ryan Gagnier	Sawyer Boulton	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jordan Harris	Elias Pettersson2	40	1	2	2
2	Cavan Fitzgerald	David Reinbacher	30	1	2	2
3	Djibril Toure	Chad Nychuk	20	1	2	2
4	Joe Fleming	Jordan Harris	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Valtteri Puustinen	Mitchell Stephens	Lukas Rousek	60	1	2	2
2	Ivan Miroshnichenko	Jackson Cates	Pavol Regenda	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jordan Harris	Elias Pettersson2	60	1	2	2
2	Cavan Fitzgerald	David Reinbacher	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mitchell Stephens	Valtteri Puustinen	60	1	2	2
2	Jackson Cates	Ivan Miroshnichenko	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jordan Harris	Elias Pettersson2	60	1	2	2
2	Cavan Fitzgerald	David Reinbacher	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Mitchell Stephens	60	1	2	2	Jordan Harris	Elias Pettersson2	60	1	2	2
2	Jackson Cates	40	1	2	2	Cavan Fitzgerald	David Reinbacher	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mitchell Stephens	Valtteri Puustinen	60	1	2	2
2	Jackson Cates	Ivan Miroshnichenko	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jordan Harris	Elias Pettersson2	60	1	2	2
2	Cavan Fitzgerald	David Reinbacher	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Valtteri Puustinen	Mitchell Stephens	Lukas Rousek	Jordan Harris	Elias Pettersson2

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Valtteri Puustinen	Mitchell Stephens	Lukas Rousek	Jordan Harris	Elias Pettersson2

Extra Forwards
Normal	PowerPlay	Penalty Kill
Pavol Regenda, Jackson Cates, Will Lockwood	Pavol Regenda, Jackson Cates	Pavol Regenda

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Djibril Toure, Chad Nychuk, Joe Fleming	Djibril Toure	Djibril Toure, Chad Nychuk

Penalty Shots
Valtteri Puustinen, Ivan Miroshnichenko, Mitchell Stephens, Lukas Rousek, Pavol Regenda

Goalie
#1 : Sebastian Cossa, #2 : Drew Commesso

Custom OT Lines Forwards
, , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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	Binghampton Senators	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	2	2	4	0	0	72	120	91	3	26	388	596	471	28	37	13	18	20	3	0	0.00%	4	2	50.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
2	Boisbriand Armada	2	1	0	0	0	0	0	1	9	8	1	1	0	0	0	0	0	0	1	5	6	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	9	12	21	0	0	72	120	91	3	47	388	596	471	28	64	34	35	36	6	3	50.00%	5	1	80.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
3	Brampton Battalion	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	6	10	0	0	72	120	91	3	30	388	596	471	28	34	8	36	18	4	1	25.00%	3	1	66.67%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
4	Buffalo Bisons	2	0	1	0	0	1	0	0	9	18	-9	1	0	1	0	0	0	0	0	2	10	-8	1	0	0	0	0	1	0	0	7	8	-1	1	0.250	9	15	24	0	0	72	120	91	3	81	388	596	471	28	72	12	102	36	7	1	14.29%	11	4	63.64%	1	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
5	Calgary Hitman	2	1	1	0	0	0	0	0	9	13	-4	1	0	1	0	0	0	0	0	4	9	-5	1	1	0	0	0	0	0	0	5	4	1	2	0.500	9	16	25	0	0	72	120	91	3	51	388	596	471	28	84	26	49	34	1	1	100.00%	7	2	71.43%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
6	Chicoutimi Sagueneens	2	1	1	0	0	0	0	0	8	11	-3	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	8	11	-3	2	0.500	8	14	22	0	0	72	120	91	3	43	388	596	471	28	66	21	19	42	5	1	20.00%	7	0	100.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
7	Drummondville Voltigeurs	3	0	2	0	0	0	1	0	12	16	-4	2	0	1	0	0	0	1	0	8	10	-2	1	0	1	0	0	0	0	0	4	6	-2	2	0.333	12	17	29	0	0	72	120	91	3	72	388	596	471	28	78	28	25	55	7	6	85.71%	10	9	10.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
8	Grand Rapids Griffins	3	1	2	0	0	0	0	0	15	14	1	0	0	0	0	0	0	0	0	0	0	0	3	1	2	0	0	0	0	0	15	14	1	2	0.333	15	25	40	0	0	72	120	91	3	95	388	596	471	28	87	22	76	46	9	8	88.89%	8	1	87.50%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
9	Hamilton Bulldogs	2	2	0	0	0	0	0	0	33	8	25	1	1	0	0	0	0	0	0	15	4	11	1	1	0	0	0	0	0	0	18	4	14	4	1.000	33	52	85	0	0	72	120	91	3	61	388	596	471	28	49	14	49	48	4	4	100.00%	7	3	57.14%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
10	Hartford Wolf Pack	2	1	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	9	7	2	0	0	0	0	0	0	0	0	0	0	0	2	0.500	9	12	21	0	0	72	120	91	3	62	388	596	471	28	61	24	33	43	7	2	28.57%	9	3	66.67%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
11	Hershey Bears	3	3	0	0	0	0	0	0	39	14	25	1	1	0	0	0	0	0	0	14	6	8	2	2	0	0	0	0	0	0	25	8	17	6	1.000	39	54	93	0	0	72	120	91	3	98	388	596	471	28	64	16	53	71	13	8	61.54%	10	2	80.00%	1	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
12	Lake Erie Monsters	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	72	120	91	3	15	388	596	471	28	23	12	7	24	2	1	50.00%	1	0	100.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
13	Laval Rockets	3	1	2	0	0	0	0	0	15	19	-4	3	1	2	0	0	0	0	0	15	19	-4	0	0	0	0	0	0	0	0	0	0	0	2	0.333	15	23	38	0	0	72	120	91	3	85	388	596	471	28	115	43	60	48	6	1	16.67%	10	3	70.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
14	London Knights	2	2	0	0	0	0	0	0	16	8	8	1	1	0	0	0	0	0	0	12	5	7	1	1	0	0	0	0	0	0	4	3	1	4	1.000	16	25	41	0	0	72	120	91	3	46	388	596	471	28	57	21	30	34	8	3	37.50%	5	3	40.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
15	Lowell Devils	1	0	1	0	0	0	0	0	3	9	-6	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	9	-6	0	0.000	3	4	7	0	0	72	120	91	3	27	388	596	471	28	27	10	19	21	5	1	20.00%	7	4	42.86%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
16	Manchester Monarchs	2	1	0	0	0	0	0	1	7	7	0	1	1	0	0	0	0	0	0	5	4	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	7	11	18	0	0	72	120	91	3	54	388	596	471	28	87	23	6	35	5	2	40.00%	3	0	100.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
17	Manitoba Moose	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	6	8	14	0	0	72	120	91	3	47	388	596	471	28	50	20	40	31	5	1	20.00%	5	2	60.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
18	Milwaukee Admirals	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	9	15	0	0	72	120	91	3	32	388	596	471	28	44	18	16	19	3	2	66.67%	3	1	66.67%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
19	Philadelphia Phantoms	2	1	1	0	0	0	0	0	9	9	0	2	1	1	0	0	0	0	0	9	9	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	9	14	23	0	0	72	120	91	3	48	388	596	471	28	77	27	11	32	5	2	40.00%	3	1	66.67%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
20	Quebec Rempart	2	1	0	0	0	1	0	0	9	8	1	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	9	15	24	0	0	72	120	91	3	65	388	596	471	28	49	15	33	46	4	1	25.00%	4	2	50.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
21	Rimouski Oceanic	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	6	9	0	0	72	120	91	3	17	388	596	471	28	29	6	7	17	0	0	0%	1	0	100.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
22	Rochester Americans	3	1	2	0	0	0	0	0	11	13	-2	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	3	6	-3	2	0.333	11	19	30	0	0	72	120	91	3	68	388	596	471	28	100	33	57	58	5	1	20.00%	11	4	63.64%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
23	Seattle Thunderbirds	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	4	8	0	0	72	120	91	3	26	388	596	471	28	16	3	25	20	2	1	50.00%	5	0	100.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
24	Sherbrooke Phoenix	2	1	1	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	3	10	-7	1	1	0	0	0	0	0	0	4	2	2	2	0.500	7	9	16	0	0	72	120	91	3	50	388	596	471	28	61	18	89	25	8	4	50.00%	12	3	75.00%	2	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
25	Toronto Marlies	1	0	1	0	0	0	0	0	7	12	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	7	12	-5	0	0.000	7	12	19	0	0	72	120	91	3	33	388	596	471	28	37	10	15	15	5	1	20.00%	5	4	20.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
26	TroisRivieres Lions	1	0	0	0	0	0	0	1	4	5	-1	1	0	0	0	0	0	0	1	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	6	10	0	0	72	120	91	3	15	388	596	471	28	20	3	23	16	1	0	0.00%	4	3	25.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
27	Victoriaville Tigres	4	1	2	0	0	0	0	1	21	24	-3	0	0	0	0	0	0	0	0	0	0	0	4	1	2	0	0	0	0	1	21	24	-3	3	0.375	21	37	58	0	0	72	120	91	3	117	388	596	471	28	141	43	71	75	9	3	33.33%	8	3	62.50%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
28	Worcester Sharks	3	1	2	0	0	0	0	0	6	20	-14	2	1	1	0	0	0	0	0	6	16	-10	1	0	1	0	0	0	0	0	0	4	-4	2	0.333	6	10	16	0	0	72	120	91	3	52	388	596	471	28	86	44	89	58	4	1	25.00%	12	3	75.00%	0	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
	Total	55	22	24	0	0	2	2	5	285	289	-4	27	12	11	0	0	0	2	2	138	143	-5	28	10	13	0	0	2	0	3	147	146	1	55	0.500	285	440	725	0	0	72	120	91	3	1463	388	596	471	28	1715	567	1093	1023	143	60	41.96%	180	64	64.44%	4	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
	_Since Last GM Reset	55	22	24	0	0	2	2	5	285	289	-4	27	12	11	0	0	0	2	2	138	143	-5	28	10	13	0	0	2	0	3	147	146	1	55	0.500	285	440	725	0	0	72	120	91	3	1463	388	596	471	28	1715	567	1093	1023	143	60	41.96%	180	64	64.44%	4	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
	_Vs Conference	28	12	12	0	0	2	1	1	165	146	19	15	7	7	0	0	0	1	0	81	82	-1	13	5	5	0	0	2	0	1	84	64	20	29	0.518	165	252	417	0	0	72	120	91	3	780	388	596	471	28	821	267	597	538	71	31	43.66%	92	24	73.91%	2	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
55	55	W1	285	440	725	1463	1715	567	1093	1023	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
55	22	24	0	2	2	5	285	289

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	12	11	0	0	2	2	138	143

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	10	13	0	2	0	3	147	146

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	1	0	0	0	4

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
143	60	41.96%	180	64	64.44%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
388	596	471	28	72	120	91	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
502	920	54.57%	521	1041	50.05%	603	1045	57.70%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1089	525	1103	530	1149	606

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
1 - 2025-10-08	5	Worcester Sharks	12	Chicago Wolves	1	L			Box score
2 - 2025-10-09	16	Chicago Wolves	2	Victoriaville Tigres	3	L	X	X	Box score
4 - 2025-10-11	35	Chicago Wolves	6	Victoriaville Tigres	7	L			Box score
6 - 2025-10-13	53	Laval Rockets	7	Chicago Wolves	5	L			Box score
7 - 2025-10-14	61	Chicago Wolves	11	Grand Rapids Griffins	3	W			Box score
9 - 2025-10-16	82	Rochester Americans	6	Chicago Wolves	3	L			Box score
11 - 2025-10-18	96	Chicago Wolves	0	Worcester Sharks	4	L			Box score
13 - 2025-10-20	113	Chicago Wolves	4	Chicoutimi Sagueneens	9	L			Box score
14 - 2025-10-21	125	Hershey Bears	6	Chicago Wolves	14	W			Box score
16 - 2025-10-23	144	Chicago Wolves	14	Hershey Bears	4	W			Box score
17 - 2025-10-24	155	Laval Rockets	3	Chicago Wolves	4	W			Box score
19 - 2025-10-26	179	Hamilton Bulldogs	4	Chicago Wolves	15	W			Box score
22 - 2025-10-29	200	Philadelphia Phantoms	6	Chicago Wolves	4	L			Box score
23 - 2025-10-30	216	Chicago Wolves	9	Victoriaville Tigres	6	W			Box score
24 - 2025-10-31	219	Chicago Wolves	1	Grand Rapids Griffins	3	L			Box score
27 - 2025-11-03	244	Hartford Wolf Pack	4	Chicago Wolves	3	L			Box score
29 - 2025-11-05	263	Laval Rockets	9	Chicago Wolves	6	L			Box score
30 - 2025-11-06	271	Chicago Wolves	4	London Knights	3	W			Box score
32 - 2025-11-08	295	Hartford Wolf Pack	3	Chicago Wolves	6	W			Box score
34 - 2025-11-10	307	Chicago Wolves	2	Binghampton Senators	6	L			Box score
37 - 2025-11-13	325	Chicago Wolves	4	Brampton Battalion	5	L			Box score
38 - 2025-11-14	335	Chicago Wolves	3	Lowell Devils	9	L			Box score
39 - 2025-11-15	350	Buffalo Bisons	10	Chicago Wolves	2	L			Box score
42 - 2025-11-18	371	Quebec Rempart	3	Chicago Wolves	5	W			Box score
43 - 2025-11-19	388	Chicago Wolves	7	Toronto Marlies	12	L			Box score
44 - 2025-11-20	403	Manchester Monarchs	4	Chicago Wolves	5	W			Box score
46 - 2025-11-22	422	Chicago Wolves	4	Boisbriand Armada	2	W			Box score
47 - 2025-11-23	434	Chicago Wolves	4	Victoriaville Tigres	8	L			Box score
49 - 2025-11-25	449	Calgary Hitman	9	Chicago Wolves	4	L			Box score
51 - 2025-11-27	467	Drummondville Voltigeurs	4	Chicago Wolves	5	W	X	X	Box score
52 - 2025-11-28	487	Seattle Thunderbirds	3	Chicago Wolves	4	W	X	X	Box score
54 - 2025-11-30	502	Chicago Wolves	4	Quebec Rempart	5	L	X		Box score
56 - 2025-12-02	516	Chicago Wolves	7	Buffalo Bisons	8	L	X		Box score
58 - 2025-12-04	533	Sherbrooke Phoenix	10	Chicago Wolves	3	L			Box score
59 - 2025-12-05	552	Chicago Wolves	18	Hamilton Bulldogs	4	W			Box score
60 - 2025-12-06	558	Chicago Wolves	11	Hershey Bears	4	W			Box score
62 - 2025-12-08	576	London Knights	5	Chicago Wolves	12	W			Box score
64 - 2025-12-10	596	Manitoba Moose	5	Chicago Wolves	2	L			Box score
66 - 2025-12-12	615	Chicago Wolves	4	Drummondville Voltigeurs	6	L			Box score
68 - 2025-12-14	630	Chicago Wolves	3	Grand Rapids Griffins	8	L			Box score
69 - 2025-12-15	639	Worcester Sharks	4	Chicago Wolves	5	W			Box score
71 - 2025-12-17	659	Philadelphia Phantoms	3	Chicago Wolves	5	W			Box score
72 - 2025-12-18	674	Chicago Wolves	3	Rochester Americans	6	L			Box score
74 - 2025-12-20	691	Drummondville Voltigeurs	6	Chicago Wolves	3	L			Box score
76 - 2025-12-22	711	Chicago Wolves	4	Chicoutimi Sagueneens	2	W			Box score
77 - 2025-12-23	722	Chicago Wolves	5	Calgary Hitman	4	W			Box score
79 - 2025-12-25	734	Rochester Americans	1	Chicago Wolves	5	W			Box score
81 - 2025-12-27	759	TroisRivieres Lions	5	Chicago Wolves	4	L	X	X	Box score
83 - 2025-12-29	772	Chicago Wolves	4	Sherbrooke Phoenix	2	W			Box score
85 - 2025-12-31	789	Boisbriand Armada	6	Chicago Wolves	5	L	X	X	Box score
87 - 2026-01-02	805	Chicago Wolves	2	Manchester Monarchs	3	L	X	X	Box score
88 - 2026-01-03	820	Chicago Wolves	4	Manitoba Moose	6	L			Box score
89 - 2026-01-04	831	Lake Erie Monsters	1	Chicago Wolves	2	W			Box score
90 - 2026-01-05	847	Chicago Wolves	3	Rimouski Oceanic	4	L	X	X	Box score
92 - 2026-01-07	862	Milwaukee Admirals	4	Chicago Wolves	6	W			Box score
94 - 2026-01-09	878	Chicago Wolves	-	Hartford Wolf Pack	-
95 - 2026-01-10	894	Brampton Battalion	-	Chicago Wolves	-
97 - 2026-01-12	919	Chicago Wolves	-	Seattle Thunderbirds	-
98 - 2026-01-13	925	Peoria Riverman	-	Chicago Wolves	-
100 - 2026-01-15	949	Toronto Marlies	-	Chicago Wolves	-
103 - 2026-01-18	969	Chicago Wolves	-	Philadelphia Phantoms	-
104 - 2026-01-19	984	Rimouski Oceanic	-	Chicago Wolves	-
105 - 2026-01-20	993	Chicago Wolves	-	Texas Stars	-
107 - 2026-01-22	1014	Hamilton Bulldogs	-	Chicago Wolves	-
108 - 2026-01-23	1027	Chicago Wolves	-	Peoria Riverman	-
110 - 2026-01-25	1045	Victoriaville Tigres	-	Chicago Wolves	-
112 - 2026-01-27	1063	Chicago Wolves	-	TroisRivieres Lions	-
113 - 2026-01-28	1079	Chicago Wolves	-	Philadelphia Phantoms	-
114 - 2026-01-29	1085	Hershey Bears	-	Chicago Wolves	-
117 - 2026-02-01	1109	Chicoutimi Sagueneens	-	Chicago Wolves	-
119 - 2026-02-03	1128	Binghampton Senators	-	Chicago Wolves	-
122 - 2026-02-06	1153	Lowell Devils	-	Chicago Wolves	-
123 - 2026-02-07	1164	Chicago Wolves	-	Bridgeport Sound Tigers	-
125 - 2026-02-09	1184	Chicago Wolves	-	Laval Rockets	-
127 - 2026-02-11	1200	Bridgeport Sound Tigers	-	Chicago Wolves	-
Trade Deadline --- Trades can’t be done after this day is simulated!
129 - 2026-02-13	1220	Grand Rapids Griffins	-	Chicago Wolves	-
130 - 2026-02-14	1230	Chicago Wolves	-	Milwaukee Admirals	-
132 - 2026-02-16	1248	Chicago Wolves	-	Lake Erie Monsters	-
134 - 2026-02-18	1259	Bridgeport Sound Tigers	-	Chicago Wolves	-
136 - 2026-02-20	1276	Chicago Wolves	-	Worcester Sharks	-
140 - 2026-02-24	1299	Texas Stars	-	Chicago Wolves	-
141 - 2026-02-25	1312	Chicago Wolves	-	Worcester Sharks	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	25	10
Attendance	52,174	26,681
Attendance PCT	96.62%	98.82%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
14	2921 - 97.35%	86,705$	2,341,028$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,180,697$	1,818,749$	1,818,749$	66,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,180,697$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,213,866$	50	13,273$	663,650$

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
1	Mitchell Stephens	541	237	420	657	40	346	603	998	1579	15.01%	390	9486	17.54	33	93	126	87	7	8	15	16	25	8	56.26%	17	1.39	2	16
2	Adam Johnson	338	245	346	591	-84	470	496	704	1685	14.54%	311	8096	23.95	53	138	191	159	4	0	4	22	23	0	56.42%	15	1.46	5	24
3	Morgan Klimchuk	328	200	240	440	32	292	512	440	1168	17.12%	208	6116	18.65	60	68	128	144	0	0	0	8	24	12	41.43%	8	1.44	0	0
4	C.J. Smith	276	155	241	396	-110	268	394	662	953	16.26%	253	5997	21.73	34	57	91	87	0	0	0	9	7	9	43.04%	4	1.32	4	16
5	Patrick Brown	304	144	240	384	-92	288	508	560	888	16.22%	228	6096	20.05	40	60	100	96	8	0	8	8	12	8	49.52%	8	1.26	8	12

Chicago Wolves Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	PS %	PSA
1	Pat Nagle	212	96	80	24	0.892	4.20	12339	0	864	8004	4404	20	16	0.250	16
2	Kyle Keyser	149	44	73	22	0.872	5.04	7958	16	669	5238	3210	11	0	0.549	51
3	Daniel Vladar	56	35	13	5	0.884	4.47	3185	6	237	2044	1196	5	1	0.714	21
4	Devin Cooley	32	23	4	2	0.871	4.76	1766	0	140	1088	624	2	0	0	0
5	Sebastian Cossa	56	23	18	5	0.860	4.54	2988	2	226	1616	890	2	0	0.438	16

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
Regular Season
2020	82	30	39	0	2	6	1	4	388	393	-5	41	17	19	0	0	2	0	3	211	203	8	41	13	20	0	2	4	1	1	177	190	-13	76	388	614	1002	5	0	90	158	137	6	2703	755	1018	911	35	3256	1118	1079	1444	214	92	42.99%	205	75	63.41%	5	776	1556	49.87%	889	1829	48.61%	739	1540	47.99%	1557	790	1797	776	1605	821
2020	82	30	39	0	2	6	1	4	388	393	-5	41	17	19	0	0	2	0	3	211	203	8	41	13	20	0	2	4	1	1	177	190	-13	76	388	614	1002	5	0	90	158	137	6	2703	755	1018	911	35	3256	1118	1079	1444	214	92	42.99%	205	75	63.41%	5	776	1556	49.87%	889	1829	48.61%	739	1540	47.99%	1557	790	1797	776	1605	821
2021	78	15	50	0	3	4	1	5	335	467	-132	39	5	26	0	1	3	1	3	155	239	-84	39	10	24	0	2	1	0	2	180	228	-48	47	335	544	879	2	0	69	131	131	6	2870	775	1013	1057	41	2930	991	1563	1551	188	82	43.62%	244	91	62.70%	3	798	1657	48.16%	700	1493	46.89%	748	1538	48.63%	1544	822	1668	749	1510	734
2023	82	53	17	0	2	4	3	3	596	381	215	41	27	7	0	1	1	3	2	289	177	112	41	26	10	0	1	3	0	1	307	204	103	123	596	973	1569	1	0	186	236	169	9	3190	999	1097	1086	29	3133	1078	1232	1835	202	66	32.67%	112	29	74.11%	9	789	1584	49.81%	853	1660	51.39%	928	1753	52.94%	1770	1001	1660	723	1524	796
2024	76	31	37	0	1	1	4	2	412	348	64	38	16	16	0	0	1	3	2	217	155	62	38	15	21	0	1	0	1	0	195	193	2	75	412	663	1075	5	0	87	186	134	9	2135	518	822	787	28	2674	834	1096	1280	194	66	34.02%	152	53	65.13%	3	674	1253	53.79%	826	1562	52.88%	726	1422	51.05%	1466	728	1596	709	1529	820
2025	55	22	24	0	0	2	2	5	285	289	-4	27	12	11	0	0	0	2	2	138	143	-5	28	10	13	0	0	2	0	3	147	146	1	55	285	440	725	0	0	72	120	91	3	1463	388	596	471	28	1715	567	1093	1023	143	60	41.96%	180	64	64.44%	4	502	920	54.57%	521	1041	50.05%	603	1045	57.70%	1089	525	1103	530	1149	606
Total Regular Season	455	181	206	0	10	23	12	23	2404	2271	133	227	94	98	0	2	9	9	15	1221	1120	101	228	87	108	0	8	14	3	8	1183	1151	32	452	2404	3848	6252	18	0	594	989	799	39	15064	4190	5564	5223	196	16964	5706	7142	8577	1155	458	39.65%	1098	387	64.75%	29	4315	8526	50.61%	4678	9414	49.69%	4483	8838	50.72%	8985	4657	9625	4265	8925	4601
Playoff
2023	9	5	4	0	0	0	0	0	45	30	15	5	3	2	0	0	0	0	0	25	16	9	4	2	2	0	0	0	0	0	20	14	6	10	45	79	124	0	0	13	16	16	0	364	118	138	108	0	358	109	156	184	22	5	22.73%	18	7	61.11%	0	87	183	47.54%	105	210	50.00%	89	169	52.66%	187	105	185	83	168	85
Total Playoff	9	5	4	0	0	0	0	0	45	30	15	5	3	2	0	0	0	0	0	25	16	9	4	2	2	0	0	0	0	0	20	14	6	10	45	79	124	0	0	13	16	16	0	364	118	138	108	0	358	109	156	184	22	5	22.73%	18	7	61.11%	0	87	183	47.54%	105	210	50.00%	89	169	52.66%	187	105	185	83	168	85

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	GW	FO%	P/20
1	Hudson Fasching	9	7	11	18	0	2	10	18	43	16.28%	8	192	21.34	0	3	3	3	0	48.21%	1.87
2	Tyson Foerster	9	6	9	15	3	11	15	11	35	17.14%	1	162	18.06	1	1	2	3	2	54.50%	1.85
3	Mitchell Stephens	9	4	8	12	11	9	20	20	22	18.18%	2	152	16.99	0	2	2	3	1	58.40%	1.57
4	Jordan Harris	9	2	9	11	8	0	11	16	22	9.09%	18	217	24.13	2	1	3	2	0	0%	1.01
5	Saku Maenalanen	9	6	5	11	3	5	18	13	17	35.29%	3	155	17.33	1	1	2	2	0	23.53%	1.41

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
1	Daniel Vladar	6	4	2	0	0.920	3.18	358	2	0	19	237	136	1	0	0	0
2	Devin Cooley	3	1	1	1	0.909	3.67	180	0	0	11	121	68	1	0	0	0

	Chicago Wolves
	GP: 55 \| W: 24 \| L: 24 \| OTL: 7 \| P: 55 GF: 285 \| GA: 289 \| PP%: 41.96% \| PK%: 64.44% GM : Camil Costandi \| Morale : 41 \| Team Overall : 56 Next Games #878 vs Hartford Wolf Pack