Ligue Hockey General Manager Québec

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Brett Berard (R)	0	LW	100.00	74	32	91	63	65	73	70	59	60	59	66	59	62	62	61	0	51	72	23	821,250$/1yrs
Owen Pederson (R)	0	C/LW	97.00	66	40	80	65	83	73	60	63	69	58	57	66	66	65	66	0	51	71	23	800,000$/1yrs
Carl Grundstrom	0	LW/RW	100.00	86	33	88	56	76	73	81	55	58	58	61	58	58	70	69	0	51	70	28	1,000,000$/1yrs
Calum Ritchie (R)	0	C	99.00	61	39	86	62	75	67	83	58	65	61	59	63	60	56	54	0	54	69	20	950,000$/2yrs
Damien Giroux (R)	0	C	99.00	63	38	86	54	68	64	66	63	41	55	54	66	55	66	65	0	51	68	25	775,000$/1yrs
Aleksanteri Kaskimaki (R)	0	C	100.00	58	38	95	58	75	64	67	59	38	58	55	62	57	59	59	0	51	68	21	870,000$/2yrs
Kasper Halttunen (R)	0	RW	100.00	80	41	64	60	83	65	86	56	36	56	59	61	58	56	52	0	48	68	20	876,000$/3yrs
Simon Robertsson (R)	0	C/LW/RW	100.00	64	39	84	57	75	65	66	60	44	56	57	63	57	61	59	0	51	68	22	877,000$/2yrs
James Malatesta (R)	0	LW	100.00	81	41	56	56	72	64	69	60	43	54	56	63	55	61	56	0	51	67	22	841,667$/1yrs
Jacob Melanson (R)	0	RW	100.00	81	42	56	55	81	63	67	60	48	54	54	64	54	61	56	0	52	67	22	826,111$/1yrs
Zack Ostapchuk (R)	0	C	100.00	79	45	75	55	83	71	75	51	75	55	53	61	52	61	58	0	52	66	22	825,000$/1yrs
Mike O'Leary	0	LW	100.00	73	40	69	54	77	65	88	63	76	48	46	66	55	66	63	0	31	65	27	800,000$/2yrs
Conor Timmins	67	D	98.00	67	33	82	57	80	84	79	57	30	65	56	65	56	69	67	0	51	73	27	1,200,000$/2yrs
Juuso Valimaki	0	D	99.00	66	33	91	55	81	86	82	55	30	61	55	62	55	69	68	0	51	71	27	2,500,000$/3yrs
Cale Fleury	0	D	100.00	81	33	99	55	80	77	67	54	30	56	50	74	52	69	69	0	51	71	27	1,000,000$/2yrs
Nolan Allan (R)	0	D	100.00	73	33	87	56	78	81	72	55	30	62	54	62	55	61	60	0	51	71	22	825,000$/1yrs
Matthew Kessel	0	D	100.00	67	33	88	55	81	81	76	53	30	60	53	64	53	66	65	0	51	70	25	800,000$/1yrs
Keaton Middleton	0	D	100.00	76	47	76	55	98	75	71	50	30	55	50	63	50	70	67	0	26	68	27	800,000$/2yrs
Jett Woo (R)	0	D	100.00	83	42	52	51	79	65	67	50	30	57	52	67	55	66	61	0	26	68	25	800,000$/1yrs
Scratches
Charles Hudon	54	LW/RW	100.00	74	40	68	59	71	72	72	68	47	64	60	72	62	77	74	0	20	74	31	800,000$/1yrs
Jordan Bellerive	64	C	100.00	87	42	50	64	73	64	60	62	65	57	55	63	64	63	58	0	20	70	26	800,000$/1yrs
Tim Gettinger	63	LW	100.00	62	40	87	54	91	65	68	65	35	55	55	68	55	70	68	0	20	69	27	800,000$/1yrs
Adam Raska	0	RW	100.00	87	42	50	52	70	63	66	62	38	53	52	66	52	64	59	0	20	67	24	800,000$/1yrs
Erik Middendorf	0	LW	100.00	60	38	91	51	77	61	69	62	49	50	51	65	51	62	62	0	20	65	25	800,000$/2yrs
Alexander Campbell	0	LW	100.00	55	36	99	52	63	61	67	61	45	45	56	64	51	61	61	0	20	65	24	800,000$/2yrs
Filip Kral	0	D	100.00	65	39	83	52	79	66	66	51	30	58	54	68	56	68	66	0	20	69	26	775,000$/1yrs
Adam Ginning (R)	0	D	100.00	79	42	59	50	84	63	66	48	30	55	51	67	53	66	62	0	40	67	25	950,000$/1yrs
Shai Buium (R)	0	D	100.00	62	39	88	52	84	63	65	50	30	58	51	64	54	61	60	0	31	67	22	925,000$/2yrs
Frederic Brunet (R)	0	D	100.00	64	39	85	50	78	63	66	49	30	56	52	64	54	61	59	0	20	66	22	1,000,000$/2yrs
Angus Booth (R)	0	D	100.00	70	40	74	50	75	62	65	48	30	55	51	63	53	59	56	0	20	65	21	826,667$/2yrs

Show or Hide Column

Filter Tips

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

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Henrik Tikkanen	0	100.00	70	68	68	94	51	74	71	70	74	73	72	67	67	0	57	75	25	850,000$/1yrs
Scratches
Mack Guzda	0	100.00	74	73	71	89	61	76	74	74	76	76	74	62	62	0	26	77	24
Zach Sawchenko	0	95.00	70	64	69	74	74	75	73	70	75	72	73	72	72	0	41	76	27	1,000,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bob Hartley	64	62	67	70	89	78	59	CAN	64	4	500,000$

General Manager

Player Stats

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	AMG	PPG	PPA	PPP	PPM	PKP	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS
1	Conor Timmins	Wolves (CAR)	D	29	2	18	20	-9	34	0	61	57	14	34	3.51%	44	24.78	2	7	9	96	0	96	0	0	0.00%	0	0	0.56	0	0
2	Kasper Halttunen	Wolves (CAR)	RW	29	11	8	19	1	29	5	71	79	21	66	13.92%	8	17.91	3	3	6	88	0	14	1	1	47.83%	46	0	0.73	0	0
3	Cale Fleury	Wolves (CAR)	D	29	2	16	18	5	32	0	47	37	15	26	5.41%	38	21.05	1	5	6	86	0	83	0	0	0.00%	0	0	0.59	0	0
4	Nolan Allan	Wolves (CAR)	D	29	6	12	18	5	6	0	37	41	15	39	14.63%	29	21.28	5	3	8	86	0	91	2	0	0.00%	0	0	0.58	0	0
5	Carl Grundstrom	Wolves (CAR)	LW/RW	29	8	7	15	4	18	0	75	66	15	45	12.12%	7	18.38	3	2	5	91	0	48	2	0	48.00%	75	0	0.56	1	1
6	Owen Pederson	Wolves (CAR)	C/LW	29	6	9	15	0	14	0	21	78	27	38	7.69%	7	14.04	0	1	1	40	0	46	0	0	60.54%	261	0	0.74	1	2
7	James Malatesta	Wolves (CAR)	LW	29	9	5	14	3	20	0	76	68	15	53	13.24%	6	18.09	0	2	2	48	0	61	3	1	41.67%	48	0	0.53	0	0
8	Calum Ritchie	Wolves (CAR)	C	29	3	11	14	-5	5	5	7	78	20	73	3.85%	2	18.25	0	6	6	93	0	25	0	0	53.27%	520	0	0.53	0	0
9	Simon Robertsson	Wolves (CAR)	C/LW/RW	29	5	7	12	-4	2	0	9	75	21	55	6.67%	3	16.28	1	2	3	39	0	33	1	0	48.72%	39	0	0.51	0	0
10	Juuso Valimaki	Wolves (CAR)	D	29	2	8	10	-6	16	0	51	39	19	28	5.13%	38	24.55	1	2	3	96	0	88	0	1	0.00%	0	0	0.28	0	0
11	Jacob Melanson	Wolves (CAR)	RW	29	3	5	8	-6	23	5	46	44	14	34	6.82%	2	11.40	0	0	0	3	0	0	2	0	35.00%	20	0	0.48	0	0
12	Damien Giroux	Wolves (CAR)	C	29	3	4	7	-6	2	0	17	37	18	29	8.11%	8	11.99	1	0	1	19	0	23	0	0	41.85%	368	0	0.40	0	0
13	Zack Ostapchuk	Wolves (CAR)	C	29	2	5	7	0	5	5	23	27	12	22	7.41%	3	12.10	2	2	4	58	0	1	0	0	61.33%	481	0	0.40	0	1
14	Shai Buium	Wolves (CAR)	D	18	0	5	5	-6	14	0	24	11	5	9	0.00%	20	13.63	0	0	0	0	0	0	0	0	0.00%	0	0	0.41	0	0
15	Matthew Kessel	Wolves (CAR)	D	29	0	4	4	-8	24	0	35	23	3	13	0.00%	28	14.42	0	0	0	1	0	17	0	0	0.00%	0	0	0.19	0	0
16	Brett Berard	Wolves (CAR)	LW	13	1	3	4	1	2	0	12	23	6	16	4.35%	1	18.22	0	0	0	18	0	35	0	0	53.57%	140	0	0.34	0	1
17	Adam Ginning	Wolves (CAR)	D	24	1	1	2	-1	10	0	18	5	2	1	20.00%	5	3.74	0	0	0	1	0	10	1	0	0.00%	0	0	0.45	0	0
18	Aleksanteri Kaskimaki	Wolves (CAR)	C	29	2	0	2	-7	2	0	9	23	6	19	8.70%	0	7.91	0	0	0	0	0	14	0	0	44.71%	85	0	0.17	0	1
19	Mike O'Leary	Wolves (CAR)	LW	11	1	0	1	-3	0	0	7	11	2	5	9.09%	1	5.24	0	0	0	0	0	3	0	0	80.00%	5	0	0.35	0	0
20	Keaton Middleton	Wolves (CAR)	D	5	0	0	0	0	0	0	10	2	0	2	0.00%	5	14.63	0	0	0	0	0	4	0	0	0.00%	0	0	0.00	0	0
21	Jett Woo	Wolves (CAR)	D	5	0	0	0	0	0	0	0	0	0	0	0.00%	1	0.44	0	0	0	0	0	2	0	0	0.00%	0	0	0.00	0	0
Team Total or Average			511	67	128	195	-42	258	20	656	824	250	607	8.13%	256	15.71	19	35	54	870	0	701	12	3	52.92%	2088	0	0.49	2	6

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Zach Sawchenko	Wolves (CAR)	21	11	10	0	0.913	2.66	1195	2	1	53	608	0	3	0	1.000	6	21	8	2	1	2
2	Henrik Tikkanen	Wolves (CAR)	11	4	2	2	0.911	2.87	564	4	0	27	302	0	1	0	1.000	3	8	21	0	0	1
Team Total or Average		32	15	12	2	0.912	2.73	1760	6	1	80	910	0	4	0	1.000	9	29	29	2	1	3

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Adam Ginning	D	25	950,000$	950,000$	RFA
Adam Raska	RW	24	800,000$	800,000$	RFA
Aleksanteri Kaskimaki	C	21	870,000$	870,000$	870,000$	RFA
Alexander Campbell	LW	24	800,000$	800,000$	800,000$	RFA
Angus Booth	D	21	826,667$	826,667$	826,667$	RFA
Brett Berard	LW	23	821,250$	775,000$	RFA
Cale Fleury	D	27	1,000,000$	1,000,000$	1,000,000$	UFA
Calum Ritchie	C	20	950,000$	950,000$	950,000$	RFA
Carl Grundstrom	LW/RW	28	1,000,000$	1,000,000$	UFA
Charles Hudon	LW/RW	31	800,000$	800,000$	UFA
Conor Timmins	D	27	1,200,000$	1,200,000$	1,200,000$	UFA
Damien Giroux	C	25	775,000$	775,000$	RFA
Erik Middendorf	LW	25	800,000$	800,000$	800,000$	RFA
Filip Kral	D	26	775,000$	775,000$	RFA
Frederic Brunet	D	22	1,000,000$	1,000,000$	1,000,000$	RFA
Henrik Tikkanen	G	25	850,000$	850,000$	RFA
Jacob Melanson	RW	22	826,111$	826,111$	RFA
James Malatesta	LW	22	841,667$	841,667$	RFA
Jett Woo	D	25	800,000$	800,000$	RFA
Jordan Bellerive	C	26	800,000$	800,000$	RFA
Juuso Valimaki	D	27	2,500,000$	2,500,000$	2,500,000$	2,500,000$	UFA
Kasper Halttunen	RW	20	876,000$	876,000$	876,000$	876,000$	RFA
Keaton Middleton	D	27	800,000$	800,000$	800,000$	UFA
Mack Guzda	G	24	0$	RFA
Matthew Kessel	D	25	800,000$	800,000$	RFA
Matthew Kessel	D	25	800,000$	800,000$	RFA
Mike O'Leary	LW	27	800,000$	800,000$	800,000$	UFA
Nolan Allan	D	22	825,000$	825,000$	RFA
Owen Pederson	C/LW	23	800,000$	800,000$	RFA
Shai Buium	D	22	925,000$	925,000$	925,000$	RFA
Simon Robertsson	C/LW/RW	22	877,000$	877,000$	877,000$	RFA
Tim Gettinger	LW	27	800,000$	800,000$	UFA
Zach Sawchenko	G	27	1,000,000$	1,000,000$	1,000,000$	UFA
Zack Ostapchuk	C	22	825,000$	825,000$	RFA

Lines

Forward Lines
# - Brett Berard	# - Owen Pederson	# - Carl Grundstrom
# - Simon Robertsson	# - Calum Ritchie	# - Kasper Halttunen
# - James Malatesta	# - Damien Giroux	# - Jacob Melanson
# - Mike O'Leary	# - Aleksanteri Kaskimaki	# - Owen Pederson

Defensive Pairings
# - Conor Timmins	# - Juuso Valimaki
# - Cale Fleury	# - Nolan Allan
# - Matthew Kessel	# - Matthew Kessel	# - Keaton Middleton

1st Power Play Unit
# - Damien Giroux		# - Owen Pederson		# - Carl Grundstrom
# - Conor Timmins			# - Juuso Valimaki

2nd Power Play Unit
# - Simon Robertsson		# - Calum Ritchie		# - Kasper Halttunen
# - Cale Fleury			# - Nolan Allan

Goalies
# - Henrik Tikkanen

Team Stats

Show or Hide Column

Filter Tips

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

#	VS Team	GP	W	L	OTW	OTL	SOW	GF	GA	Diff	P	PCT	G	A	TP	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	GF%	SH%	SV%	PDO	PDOBRK
1	Phantoms	1	1	0	0	0	0	4	3	1	2	1.000	4	7	11	0	33	20	20	5	27	288	266	336	22	29	15	2	28	8	1	12.50%	1	0	100.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	50.0%	14.8%	89.7%	104.5	FUN
2	Eagles	2	0	2	0	0	0	2	5	-3	0	0.000	2	4	6	0	33	20	20	5	53	288	266	336	22	60	18	8	48	4	1	25.00%	4	0	100.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	16.7%	3.8%	91.7%	95.4	DULL
3	Griffins	1	0	1	0	0	0	0	3	-3	0	0.000	0	0	0	0	33	20	20	5	18	288	266	336	22	31	7	12	23	3	0	0.00%	5	2	60.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	0.0%	0.0%	90.3%	90.3	Unlucky
4	Bears	1	0	1	0	0	0	0	2	-2	0	0.000	0	0	0	0	33	20	20	5	30	288	266	336	22	25	10	10	18	6	0	0.00%	5	0	100.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	0.0%	0.0%	92.0%	92.0	DULL
5	Wild	3	1	2	0	0	0	8	9	-1	2	0.333	8	14	22	0	33	20	20	5	109	288	266	336	22	94	23	30	64	19	3	15.79%	13	5	61.54%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	55.6%	7.3%	90.4%	97.8	Unlucky
6	Canucks	1	0	0	1	0	0	2	1	1	2	1.000	2	3	5	0	33	20	20	5	36	288	266	336	22	25	4	12	22	5	0	0.00%	6	1	83.33%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	100.0%	5.6%	96.0%	101.6	DULL
7	Reign	1	1	0	0	0	0	5	2	3	2	1.000	5	8	13	0	33	20	20	5	33	288	266	336	22	43	5	14	20	5	2	40.00%	7	0	100.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	60.0%	15.2%	95.3%	110.5	LUCKY
8	Admirals	2	1	1	0	0	0	3	7	-4	2	0.500	3	5	8	0	33	20	20	5	55	288	266	336	22	53	13	20	62	8	1	12.50%	9	1	88.89%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	25.0%	5.5%	86.8%	92.2	Unlucky
9	Condors	3	2	0	1	0	0	12	8	4	6	1.000	12	22	34	0	33	20	20	5	90	288	266	336	22	96	22	46	69	10	2	20.00%	18	1	94.44%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	58.8%	13.3%	91.7%	105.0	LUCKY
10	Roadrunners	1	0	0	0	1	0	3	4	-1	1	0.500	3	5	8	0	33	20	20	5	34	288	266	336	22	32	12	9	29	3	1	33.33%	2	1	50.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	40.0%	8.8%	87.5%	96.3	Unlucky
11	IceHogs	2	1	0	0	1	0	8	7	1	3	0.750	8	16	24	0	33	20	20	5	72	288	266	336	22	69	22	12	57	7	3	42.86%	5	0	100.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	41.7%	11.1%	89.9%	101.0	FUN
12	Moose	2	0	1	0	0	1	6	6	0	2	0.500	6	8	14	0	33	20	20	5	65	288	266	336	22	59	14	12	39	8	1	12.50%	6	1	83.33%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	50.0%	9.2%	89.8%	99.1	FUN
13	Gulls	1	0	1	0	0	0	2	3	-1	0	0.000	2	4	6	0	33	20	20	5	40	288	266	336	22	33	8	6	29	5	1	20.00%	3	0	100.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	25.0%	5.0%	90.9%	95.9	Unlucky
14	Stars	3	1	0	0	0	2	9	3	6	6	1.000	9	13	22	1	33	20	20	5	89	288	266	336	22	88	33	35	63	9	2	22.22%	15	2	86.67%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	87.5%	10.1%	96.6%	106.7	LUCKY
15	Barracuda	2	1	1	0	0	0	5	6	-1	2	0.500	5	8	13	0	33	20	20	5	51	288	266	336	22	62	23	18	45	4	0	0.00%	9	0	100.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	45.5%	9.8%	90.3%	100.1	FUN
16	Silver Knights	1	0	1	0	0	0	1	3	-2	0	0.000	1	2	3	0	33	20	20	5	25	288	266	336	22	37	5	10	28	1	1	100.00%	5	0	100.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	0.0%	4.0%	91.9%	95.9	DULL
17	Firebirds	2	1	1	0	0	0	8	8	0	2	0.500	8	14	22	0	33	20	20	5	78	288	266	336	22	74	25	16	43	7	2	28.57%	8	2	75.00%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	50.0%	10.3%	89.2%	99.4	FUN
	_Vs Division	15	5	7	0	1	3	39	41	-2	17	0.567	39	65	104	1	33	20	20	5	477	288	266	336	22	455	135	126	362	58	12	20.69%	54	10	81.48%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	46.6%	8.2%	91.0%	99.2	Unlucky
	_Vs Conference	26	9	10	2	2	3	74	72	2	30	0.577	74	126	200	1	33	20	20	5	830	288	266	336	22	825	227	248	618	95	20	21.05%	110	14	87.27%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	48.2%	8.9%	91.3%	100.2	Unlucky
	_Since Last GM Reset	29	10	12	2	2	3	78	80	-2	32	0.552	78	133	211	1	33	20	20	5	905	288	266	336	22	910	259	272	687	112	21	18.75%	121	16	86.78%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	47.1%	8.6%	91.2%	99.8	DULL
	Total	29	10	12	2	2	3	78	80	-2	32	0.552	78	133	211	1	33	20	20	5	905	288	266	336	22	910	259	272	687	112	21	18.75%	121	16	86.78%	577	1046	55.16%	589	1082	54.44%	241	439	54.90%	683	453	685	234	392	196	47.1%	8.6%	91.2%	99.8	DULL

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	1046
Neutral Zone Start	439
Defensive Zone Start	1082

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	1407
Faceoffs Lost	1160

	Team Average Shots after	League Average Shots after
1st Period	9.9	9.57
2nd Period	19.1	20.31
3rd Period	30.7	30.68
Overtime	31.4	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.1	0.64
2nd Period	1.8	1.65
3rd Period	2.5	2.67
Overtime	2.7	2.83


Even Strenght Goal	57
PP Goal	21
PK Goal	0
Empty Net Goal	0

	Home	Away
Win	8	7
Lost	6	6
Overtime Lost	0	2


PP Attempt	112
PP Goal	21
PK Attempt	121
PK Goal Against	16

	Home
Shots For	31.2
Shots Against	31.4
Goals For	2.7
Goals Against	2.8
Hits	23.7
Shots Blocked	8.9
Pim	9.4

Schedule

Date	Matchup			Result	Detail
2025-10-09	Eagles	@	Wolves	Eagles3,Wolves1	RECAP
2025-10-10	Wolves	@	Admirals	Wolves1,Admirals6	RECAP
2025-10-14	Wild	@	Wolves	Wild4,Wolves1	RECAP
2025-10-18	Wolves	@	Moose	Wolves2,Moose3	RECAP
2025-10-19	Admirals	@	Wolves	Admirals1,Wolves2	RECAP
2025-10-22	Wolves	@	Stars	Wolves4,Stars0	RECAP
2025-10-24	IceHogs	@	Wolves	IceHogs2,Wolves4	RECAP
2025-10-26	Eagles	@	Wolves	Eagles2,Wolves1	RECAP
2025-10-28	Wolves	@	Condors	Wolves4,Condors3	RECAP
2025-10-29	Firebirds	@	Wolves	Firebirds5,Wolves4	RECAP
2025-10-30	Wolves	@	IceHogs	Wolves4,IceHogs5 (OT)	RECAP
2025-11-02	Stars	@	Wolves	Stars2,Wolves3 (SO)	RECAP
2025-11-05	Wolves	@	Wild	Wolves3,Wild4	RECAP
2025-11-10	Barracuda	@	Wolves	Barracuda4,Wolves2	RECAP
2025-11-14	Wolves	@	Roadrunners	Wolves3,Roadrunners4 (OT)	RECAP
2025-11-15	Condors	@	Wolves	Condors3,Wolves5	RECAP
2025-11-18	Wolves	@	Canucks	Wolves2,Canucks1 (OT)	RECAP
2025-11-19	Condors	@	Wolves	Condors2,Wolves3 (OT)	RECAP
2025-11-22	Wolves	@	Bears	Wolves0,Bears2	RECAP
2025-11-24	Reign	@	Wolves	Reign2,Wolves5	RECAP
2025-11-27	Wolves	@	Moose	Wolves4,Moose3 (SO)	RECAP
2025-11-29	Wolves	@	Barracuda	Wolves3,Barracuda2	RECAP
2025-12-01	Silver Knights	@	Wolves	Silver Knights3,Wolves1	RECAP
2025-12-03	Wolves	@	Griffins	Wolves0,Griffins3	RECAP
2025-12-05	Firebirds	@	Wolves	Firebirds3,Wolves4	RECAP
2025-12-07	Wolves	@	Wild	Wolves4,Wild1	RECAP
2025-12-11	Wolves	@	Gulls	Wolves2,Gulls3	RECAP
2025-12-13	Stars	@	Wolves	Stars1,Wolves2 (SO)	RECAP
2025-12-14	Wolves	@	Phantoms	Wolves4,Phantoms3	RECAP
2025-12-17	Roadrunners	@	Wolves
2025-12-20	Wolves	@	Reign
2025-12-22	Marlies	@	Wolves
2025-12-25	Wolves	@	IceHogs
2025-12-27	Rocket	@	Wolves
2025-12-29	Wolves	@	Bruins
2025-12-31	Monsters	@	Wolves
2026-01-02	Wolves	@	Bears
2026-01-05	IceHogs	@	Wolves
2026-01-07	Wolves	@	Crunch
2026-01-09	Wolves	@	Silver Knights
2026-01-11	Senators	@	Wolves
2026-01-13	Wolves	@	Stars
2026-01-17	Canucks	@	Wolves
2026-01-20	Wolves	@	Stars
2026-01-21	Checkers	@	Wolves
2026-01-23	Wolves	@	Admirals
2026-01-26	Wolves	@	Condors
2026-01-28	Moose	@	Wolves
2026-01-31	Firebirds	@	Wolves
2026-02-01	Wolves	@	Wranglers
2026-02-04	Moose	@	Wolves
2026-02-06	Wolves	@	Firebirds
2026-02-08	Wolves	@	Admirals
2026-02-10	Wild	@	Wolves
2026-02-13	Wolves	@	Thunderbirds
2026-02-16	Wolves	@	Islanders
2026-02-17	Eagles	@	Wolves
2026-02-20	Wild	@	Wolves
2026-02-22	Wolves	@	Firebirds
2026-02-25	Wranglers	@	Wolves
2026-02-27	Wolves	@	Moose
2026-03-01	Wolves	@	Americans
2026-03-03	Wolves	@	Eagles
2026-03-04	Wolf Pack	@	Wolves
2026-03-07	Gulls	@	Wolves
Trade Deadline --- Trades can�t be done after this day is simulated!
2026-03-10	Wolves	@	Eagles
2026-03-12	Penguins	@	Wolves
2026-03-14	Wolves	@	Comets
2026-03-16	Admirals	@	Wolves
2026-03-22	IceHogs	@	Wolves
2026-03-29	Eagles	@	Wolves
2026-04-04	Admirals	@	Wolves

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,529,245$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Chicago
	Capacity	3000
	Season Ticket Holders	0%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	0$	$	$	$
Attendance	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
22	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,529,245$	2,529,245$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,197,262$	14,051$	1,005,617$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	123	16,829$	1,868,019$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
1,868,019$	0$	0$	0$

Sponsors
TV Rights	Primary Sponsor	Secondary Sponsor	Secondary Sponsor

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Transactions

Injuries

Mack Guzda is suspended for 53 more games.
Charles Hudon is suspended for 53 more games.
Tim Gettinger is suspended for 53 more games.
Jordan Bellerive is suspended for 53 more games.
Adam Raska is suspended for 53 more games.
Filip Kral is suspended for 53 more games.