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
Owen Pederson (R)	0	C/LW	100.00	66	40	80	65	83	73	60	63	69	58	57	66	66	65	66	0	40	71	23	800,000$/1yrs
Tyson Kozak (R)	0	C	99.00	71	32	96	60	67	73	68	57	77	58	64	69	60	62	61	0	40	71	22	1,000,000$/2yrs
Carl Grundstrom	0	LW/RW	100.00	86	33	88	56	76	73	81	55	58	58	61	58	58	70	69	0	40	70	27	1,000,000$/1yrs
Mark Kastelic	0	C	100.00	87	68	54	57	92	71	84	57	79	59	59	63	58	68	64	0	40	70	25	1,500,000$/3yrs
Calum Ritchie (R)	0	C	100.00	61	39	86	62	75	67	83	58	65	61	59	63	60	56	54	0	40	69	20	950,000$/2yrs
Damien Giroux (R)	0	C	100.00	63	38	86	54	68	64	66	63	41	55	54	66	55	66	65	0	40	68	25	775,000$/1yrs
Aleksanteri Kaskimaki (R)	0	C	100.00	58	38	95	58	75	64	67	59	38	58	55	62	57	59	59	0	40	68	21	870,000$/2yrs
Kasper Halttunen (R)	0	RW	100.00	80	41	64	60	83	65	86	56	36	56	59	61	58	56	52	0	40	68	20	876,000$/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	40	68	22	877,000$/2yrs
James Malatesta (R)	0	LW	97.00	81	41	56	56	72	64	69	60	43	54	56	63	55	61	56	0	40	67	22	841,667$/1yrs
Jacob Melanson (R)	0	RW	100.00	81	42	56	55	81	63	67	60	48	54	54	64	54	61	56	0	40	67	22	826,111$/1yrs
Zack Ostapchuk (R)	0	C	99.00	79	45	75	55	83	71	75	51	75	55	53	61	52	61	58	0	40	66	22	825,000$/1yrs
Conor Timmins	67	D	97.00	67	33	82	57	80	84	79	57	30	65	56	65	56	69	67	0	40	73	27	1,200,000$/2yrs
Juuso Valimaki	0	D	97.00	66	33	91	55	81	86	82	55	30	61	55	62	55	69	68	0	40	71	27	2,500,000$/3yrs
Cale Fleury	0	D	99.00	81	33	99	55	80	77	67	54	30	56	50	74	52	69	69	0	40	71	26	1,000,000$/2yrs
Nolan Allan (R)	0	D	100.00	73	33	87	56	78	81	72	55	30	62	54	62	55	61	60	0	40	71	22	825,000$/1yrs
Matthew Kessel	0	D	100.00	67	33	88	55	81	81	76	53	30	60	53	64	53	66	65	0	40	70	25	800,000$/1yrs
Adam Ginning (R)	0	D	100.00	79	42	59	50	84	63	66	48	30	55	51	67	53	66	62	0	40	67	25	950,000$/1yrs
Shai Buium (R)	0	D	100.00	62	39	88	52	84	63	65	50	30	58	51	64	54	61	60	0	40	67	22	925,000$/2yrs
Scratches
Charles Hudon	54	LW/RW	100.00	74	40	68	59	71	72	72	68	47	64	60	72	62	77	74	0	28	74	31	800,000$/1yrs
Jordan Bellerive	64	C	100.00	87	42	50	64	73	64	60	62	65	57	55	63	64	63	58	0	28	70	26	800,000$/1yrs
Tim Gettinger	63	LW	100.00	62	40	87	54	91	65	68	65	35	55	55	68	55	70	68	0	28	69	27	800,000$/1yrs
Adam Raska	0	RW	100.00	87	42	50	52	70	63	66	62	38	53	52	66	52	64	59	0	28	67	24	800,000$/1yrs
Mike O'Leary	0	LW	100.00	73	40	69	54	77	65	88	63	76	48	46	66	55	66	63	0	29	65	27	800,000$/2yrs
Erik Middendorf	0	LW	100.00	60	38	91	51	77	61	69	62	49	50	51	65	51	62	62	0	29	65	25	800,000$/2yrs
Alexander Campbell	0	LW	100.00	55	36	99	52	63	61	67	61	45	45	56	64	51	61	61	0	29	65	24	800,000$/2yrs
Filip Kral	0	D	100.00	65	39	83	52	79	66	66	51	30	58	54	68	56	68	66	0	28	69	26	775,000$/1yrs
Keaton Middleton	0	D	100.00	76	47	76	55	98	75	71	50	30	55	50	63	50	70	67	0	28	68	27	800,000$/2yrs
Jett Woo (R)	0	D	100.00	83	42	52	51	79	65	67	50	30	57	52	67	55	66	61	0	28	68	25	800,000$/1yrs
Frederic Brunet (R)	0	D	100.00	64	39	85	50	78	63	66	49	30	56	52	64	54	61	59	0	28	66	22	1,000,000$/2yrs
Angus Booth (R)	0	D	100.00	70	40	74	50	75	62	65	48	30	55	51	63	53	59	56	0	28	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
Zach Sawchenko	0	99.00	70	64	69	74	74	75	73	70	75	72	73	72	72	0	28	76	27	1,000,000$/2yrs
Henrik Tikkanen	0	98.00	70	68	68	94	51	74	71	70	74	73	72	67	67	0	43	75	25	850,000$/1yrs
Scratches
Mack Guzda	0	100.00	74	73	71	89	61	76	74	74	76	76	74	62	62	0	34	77	24

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	Nolan Allan	Wolves (CAR)	D	12	4	7	11	3	2	0	10	20	5	16	20.00%	13	21.27	3	2	5	28	0	36	0	0	0.00%	0	0	0.86	0	0
2	Cale Fleury	Wolves (CAR)	D	12	1	7	8	3	14	0	18	12	4	9	8.33%	13	20.57	1	2	3	28	0	29	0	0	0.00%	0	0	0.65	0	0
3	Conor Timmins	Wolves (CAR)	D	12	2	6	8	-6	14	0	31	23	8	15	8.70%	19	24.55	2	2	4	34	0	38	0	0	0.00%	0	0	0.54	0	0
4	Zack Ostapchuk	Wolves (CAR)	C	12	2	5	7	-1	0	0	16	22	8	15	9.09%	2	18.37	2	2	4	32	0	0	0	0	61.71%	316	0	0.64	0	1
5	Kasper Halttunen	Wolves (CAR)	RW	12	2	5	7	1	8	0	14	34	12	25	5.88%	2	17.38	0	3	3	29	0	0	0	0	42.86%	14	0	0.67	0	0
6	James Malatesta	Wolves (CAR)	LW	12	3	3	6	1	6	0	36	29	6	28	10.34%	2	20.86	0	1	1	29	0	39	0	0	46.15%	26	0	0.48	0	0
7	Calum Ritchie	Wolves (CAR)	C	12	2	4	6	-5	0	0	4	32	10	37	6.25%	0	16.88	0	3	3	32	0	0	0	0	59.28%	194	0	0.59	0	0
8	Carl Grundstrom	Wolves (CAR)	LW/RW	12	3	2	5	-4	6	0	33	28	8	16	10.71%	3	17.73	1	1	2	31	0	10	2	0	50.00%	24	0	0.47	0	0
9	Juuso Valimaki	Wolves (CAR)	D	12	2	2	4	-6	8	0	27	11	7	10	18.18%	13	24.72	1	1	2	33	0	40	0	1	0.00%	0	0	0.27	0	0
10	Damien Giroux	Wolves (CAR)	C	12	1	3	4	-2	2	0	8	5	2	9	20.00%	4	9.36	0	0	0	0	0	7	0	0	47.52%	101	0	0.71	0	0
11	Owen Pederson	Wolves (CAR)	C/LW	12	1	3	4	-2	4	0	5	21	10	8	4.76%	2	8.89	0	0	0	0	0	1	0	0	60.00%	5	0	0.75	0	0
12	Simon Robertsson	Wolves (CAR)	C/LW/RW	12	2	2	4	-4	0	0	5	29	11	28	6.90%	2	15.51	0	0	0	0	0	20	1	0	40.00%	20	0	0.43	0	0
13	Tyson Kozak	Wolves (CAR)	C	12	1	2	3	-4	0	0	4	33	8	30	3.03%	2	17.11	0	2	2	30	0	50	0	0	58.76%	177	0	0.29	1	1
14	Jacob Melanson	Wolves (CAR)	RW	12	1	2	3	-3	2	0	15	19	1	13	5.26%	2	10.23	0	0	0	1	0	0	1	0	33.33%	9	0	0.49	0	0
15	Mark Kastelic	Wolves (CAR)	C	12	1	1	2	-3	8	0	22	15	7	10	6.67%	0	12.74	0	0	0	1	0	26	0	0	58.89%	180	0	0.26	0	0
16	Matthew Kessel	Wolves (CAR)	D	12	0	2	2	-7	12	0	23	11	2	6	0.00%	13	15.18	0	0	0	0	0	10	0	0	0.00%	0	0	0.22	0	0
17	Aleksanteri Kaskimaki	Wolves (CAR)	C	12	2	0	2	-2	0	0	2	8	4	10	25.00%	0	8.75	0	0	0	0	0	0	0	0	25.00%	12	0	0.38	0	0
18	Shai Buium	Wolves (CAR)	D	12	0	2	2	-6	10	0	16	6	5	5	0.00%	16	13.96	0	0	0	0	0	0	0	0	0.00%	0	0	0.24	0	0
19	Adam Ginning	Wolves (CAR)	D	12	0	0	0	0	0	0	1	0	0	0	0.00%	0	0.21	0	0	0	0	0	1	0	0	0.00%	0	0	0.00	0	0
Team Total or Average			228	30	58	88	-47	96	0	290	358	118	290	8.38%	108	15.49	10	19	29	315	0	313	4	1	57.05%	1078	0	0.50	1	2

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)	10	4	6	0	0.897	3.08	526	2	1	27	262	0	1	0	0.000	0	10	2	1	0	1
2	Henrik Tikkanen	Wolves (CAR)	5	1	0	1	0.922	2.71	199	0	0	9	116	0	0	0	1.000	3	2	10	0	0	0
Team Total or Average		15	5	6	1	0.905	2.98	725	2	1	36	378	0	1	0	1.000	3	12	12	1	0	1

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
Cale Fleury	D	26	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	27	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
Mark Kastelic	C	25	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA
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
Tyson Kozak	C	22	1,000,000$	1,000,000$	1,000,000$	RFA
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
# - James Malatesta	# - Zack Ostapchuk	# - Kasper Halttunen
# - Simon Robertsson	# - Calum Ritchie	# - Carl Grundstrom
# - Tyson Kozak	# - Mark Kastelic	# - Jacob Melanson
# - Owen Pederson	# - Damien Giroux	# - Aleksanteri Kaskimaki

Defensive Pairings
# - Conor Timmins	# - Juuso Valimaki
# - Cale Fleury	# - Nolan Allan
# - Matthew Kessel	# - Matthew Kessel	# - Shai Buium

1st Power Play Unit
# - Calum Ritchie		# - Zack Ostapchuk		# - Carl Grundstrom
# - Conor Timmins			# - Juuso Valimaki

2nd Power Play Unit
# - James Malatesta		# - Tyson Kozak		# - Kasper Halttunen
# - Cale Fleury			# - Nolan Allan

Goalies
# - Henrik Tikkanen		# - Zach Sawchenko

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	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	Eagles	2	0	2	0	0	2	5	-3	0	0.000	2	4	6	0	15	7	8	1	53	128	89	136	7	60	18	8	48	4	1	25.00%	4	0	100.00%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	16.7%	3.8%	91.7%	95.4	DULL
2	Wild	1	0	1	0	0	1	4	-3	0	0.000	1	2	3	0	15	7	8	1	38	128	89	136	7	29	6	8	22	5	1	20.00%	4	2	50.00%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	0.0%	2.6%	86.2%	88.8	Unlucky
3	Admirals	2	1	1	0	0	3	7	-4	2	0.500	3	5	8	0	15	7	8	1	55	128	89	136	7	53	13	20	62	8	1	12.50%	9	1	88.89%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	25.0%	5.5%	86.8%	92.2	Unlucky
4	Condors	1	1	0	0	0	4	3	1	2	1.000	4	8	12	0	15	7	8	1	18	128	89	136	7	31	11	20	24	1	0	0.00%	10	1	90.00%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	66.7%	22.2%	90.3%	112.5	FUN
5	IceHogs	2	1	0	1	0	8	7	1	3	0.750	8	16	24	0	15	7	8	1	72	128	89	136	7	69	22	12	57	7	3	42.86%	5	0	100.00%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	41.7%	11.1%	89.9%	101.0	FUN
6	Moose	1	0	1	0	0	2	3	-1	0	0.000	2	4	6	0	15	7	8	1	27	128	89	136	7	38	5	6	15	3	1	33.33%	3	0	100.00%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	25.0%	7.4%	92.1%	99.5	DULL
7	Stars	2	1	0	0	1	7	2	5	4	1.000	7	11	18	1	15	7	8	1	58	128	89	136	7	61	24	20	44	8	2	25.00%	10	1	90.00%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	83.3%	12.1%	96.7%	108.8	LUCKY
8	Firebirds	1	0	1	0	0	4	5	-1	0	0.000	4	8	12	0	15	7	8	1	37	128	89	136	7	37	9	4	18	5	1	20.00%	2	1	50.00%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	42.9%	10.8%	86.5%	97.3	FUN
	_Vs Division	10	3	6	1	1	23	28	-5	9	0.450	23	42	65	1	15	7	8	1	303	128	89	136	7	310	88	74	248	35	9	25.71%	35	4	88.57%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	36.8%	7.6%	91.0%	98.6	Unlucky
	_Vs Conference	12	4	6	1	1	31	36	-5	11	0.458	31	58	89	1	15	7	8	1	358	128	89	136	7	378	108	98	290	41	10	24.39%	47	6	87.23%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	41.2%	8.7%	90.5%	99.1	Unlucky
	_Since Last GM Reset	12	4	6	1	1	31	36	-5	11	0.458	31	58	89	1	15	7	8	1	358	128	89	136	7	378	108	98	290	41	10	24.39%	47	6	87.23%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	41.2%	8.7%	90.5%	99.1	Unlucky
	Total	12	4	6	1	1	31	36	-5	11	0.458	31	58	89	1	15	7	8	1	358	128	89	136	7	378	108	98	290	41	10	24.39%	47	6	87.23%	233	417	55.88%	270	457	59.08%	112	192	58.33%	285	191	279	96	161	80	41.2%	8.7%	90.5%	99.1	Unlucky

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	417
Neutral Zone Start	192
Defensive Zone Start	457

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	615
Faceoffs Lost	451

	Team Average Shots after	League Average Shots after
1st Period	10.7	9.57
2nd Period	18.1	20.31
3rd Period	29.4	30.68
Overtime	30.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.3	0.64
2nd Period	1.8	1.65
3rd Period	2.5	2.67
Overtime	2.6	2.83


Even Strenght Goal	21
PP Goal	10
PK Goal	0
Empty Net Goal	0

	Home	Away
Win	3	2
Lost	4	2
Overtime Lost	0	1


PP Attempt	41
PP Goal	10
PK Attempt	47
PK Goal Against	6

	Home
Shots For	29.8
Shots Against	31.5
Goals For	2.6
Goals Against	3.0
Hits	24.2
Shots Blocked	9.0
Pim	8.2

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
2025-11-10	Barracuda	@	Wolves
2025-11-14	Wolves	@	Roadrunners
2025-11-15	Condors	@	Wolves
2025-11-18	Wolves	@	Canucks
2025-11-19	Condors	@	Wolves
2025-11-22	Wolves	@	Bears
2025-11-24	Reign	@	Wolves
2025-11-27	Wolves	@	Moose
2025-11-29	Wolves	@	Barracuda
2025-12-01	Silver Knights	@	Wolves
2025-12-03	Wolves	@	Griffins
2025-12-05	Firebirds	@	Wolves
2025-12-07	Wolves	@	Wild
2025-12-11	Wolves	@	Gulls
2025-12-13	Stars	@	Wolves
2025-12-14	Wolves	@	Phantoms
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
2,701,745$	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
29	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,701,745$	2,701,745$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
459,796$	15,010$	387,592$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	166	17,787$	2,739,198$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
2,739,198$	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 70 more games.
Charles Hudon is suspended for 70 more games.
Tim Gettinger is suspended for 70 more games.
Jordan Bellerive is suspended for 70 more games.
Adam Raska is suspended for 70 more games.
Filip Kral is suspended for 70 more games.