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
Dryden Hunt	73	LW	99.00	72	40	70	63	75	73	81	66	38	70	60	68	65	72	69	0	56	75	30	850,000$/1yrs
Martin Frk	0	LW/RW	100.00	76	41	64	60	82	73	89	67	42	64	63	70	64	75	72	0	53	75	32	900,000$/2yrs
Jayson Megna	0	C	98.00	62	39	87	58	77	73	87	70	76	63	62	74	62	81	79	0	56	75	35	900,000$/2yrs
Travis Boyd	72	C/LW/RW	99.00	60	38	90	60	74	72	86	67	80	64	62	70	63	75	74	0	56	74	32	900,000$/1yrs
Matthew Peca	63	C/LW/RW	100.00	60	38	91	60	68	72	88	67	82	64	62	70	63	75	74	0	57	74	32	775,000$/1yrs
Taylor Raddysh	67	RW	100.00	65	33	93	63	80	75	90	59	58	64	62	58	61	71	71	0	71	73	27	800,000$/1yrs
Logan Shaw	38	C/RW	100.00	64	40	84	56	84	70	89	68	75	61	58	72	59	77	75	0	34	73	33	1,000,000$/2yrs
Paul Cotter	43	C/LW/RW	100.00	88	40	81	59	84	76	90	59	61	58	67	57	63	68	66	0	61	72	26	775,000$/1yrs
Rem Pitlick	32	C/LW/RW	100.00	60	38	90	59	75	69	76	63	76	65	57	67	61	68	67	0	59	72	28	900,000$/3yrs
Tyson Kozak (R)	0	C/LW	100.00	85	32	96	58	67	74	82	55	81	57	59	75	57	63	63	0	64	71	23	1,000,000$/2yrs
Nate Danielson (R)	0	C	100.00	58	32	96	63	75	73	70	56	72	63	59	53	57	60	59	0	40	70	21	886,666$/3yrs
Michael Brandsegg-Nygard (R)	28	LW/RW	100.00	68	40	77	64	81	67	71	60	38	63	60	59	61	54	52	0	29	70	20	942,500$/3yrs
Louie Belpedio	0	D	99.00	70	33	99	62	75	77	67	60	30	61	67	72	64	72	72	0	53	75	29	1,000,000$/2yrs
Zach Bogosian	6	D	100.00	68	36	84	55	87	81	86	54	30	60	57	68	56	85	83	0	57	73	35	1,250,000$/1yrs
Joel Hanley	41	D	99.00	67	38	82	55	73	83	84	53	30	61	54	65	53	83	81	0	56	72	34	1,200,000$/2yrs
Albert Johansson (R)	2	D	100.00	66	32	96	55	67	80	90	55	30	59	50	70	52	66	65	0	19	71	25	925,000$/1yrs
Ian Moore (R)	0	D	100.00	60	32	81	55	70	79	82	54	30	61	60	68	57	65	63	0	19	71	24	925,000$/2yrs
Brayden Pachal	94	D	100.00	80	46	58	55	81	78	86	52	30	59	55	65	54	69	64	0	56	70	26	1,100,000$/3yrs
Noah Beck (R)	0	D	100.00	71	41	74	57	83	67	59	57	30	61	54	58	57	65	62	0	19	70	24	975,000$/1yrs
Scratches
Vinnie Hinostroza	0	LW/RW	100.00	68	32	92	56	69	75	79	55	60	59	61	54	58	78	77	0	30	70	31	1,000,000$/2yrs
Ruslan Iskhakov (R)	0	C	100.00	66	38	80	60	61	67	89	61	65	61	58	64	59	63	61	0	20	70	25	900,000$/1yrs
Jan Jenik	0	RW	100.00	78	41	61	58	74	66	83	61	65	58	57	64	58	63	59	0	20	69	25	900,000$/1yrs
Jackson Hallum (R)	0	LW	100.00	68	39	78	59	74	66	71	59	43	60	57	62	58	59	57	0	35	69	23
Thomas Bordeleau	0	C/LW	100.00	68	39	78	59	66	65	85	59	61	60	56	62	58	59	57	0	72	68	24	950,000$/1yrs
Ryan Winterton (R)	0	C	100.00	71	32	92	56	71	74	75	55	57	57	58	63	56	62	61	0	19	68	22	828,333$/1yrs
Aku Raty (R)	0	RW	100.00	68	39	78	56	73	64	81	60	43	58	53	63	56	61	59	0	20	68	24	850,000$/3yrs
Braeden Cootes (R)	80	C	100.00	58	38	89	60	72	64	87	54	60	57	57	59	57	54	53	0	20	67	18	975,000$/3yrs
Ludwig Persson (R)	0	C/LW	100.00	71	39	81	58	75	63	87	55	60	58	55	58	56	56	54	0	20	67	22	814,999$/3yrs
Samuel Bolduc	58	D	100.00	59	39	92	54	89	66	88	53	30	60	55	65	58	63	62	0	20	70	25	900,000$/1yrs
Victor Soderstrom	9	D	100.00	59	38	92	56	76	65	69	53	30	63	52	64	57	61	60	0	56	70	24	775,000$/1yrs
Michael Benning (R)	0	D	100.00	70	39	75	56	66	66	85	53	30	62	55	63	58	59	57	0	20	70	24	900,000$/3yrs
Jaycob Megna	0	D	100.00	64	40	85	50	91	66	86	49	30	56	52	73	54	77	75	0	56	69	33	900,000$/2yrs
Connor Mackey	2	D	100.00	85	42	50	52	80	66	87	50	30	57	53	69	55	70	65	0	20	69	29	775,000$/1yrs
Chase Pietila (R)	0	D	100.00	81	42	56	52	76	62	73	49	30	57	50	61	54	55	51	0	29	66	21

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
Trent Miner	0	100.00	72	74	70	74	76	77	72	72	77	77	74	62	62	0	26	77	24	900,000$/1yrs
Cooper Black	0	99.00	70	69	69	94	53	77	70	70	77	77	73	62	62	0	48	76	24	950,000$/1yrs
Scratches
Carter George	0	100.00	72	78	67	75	65	70	71	72	70	71	71	54	64	0	39	74	19	845,833$/3yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jacques Martin	57	61	60	58	99	97	37	CAN	73	3	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	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS
1	Thomas Bordeleau	Marlies (TOR)	C/LW	38	10	19	29	11	4	0	29	144	43	80	6.94%	8	18.18	3	3	6	88	0	0	0	26	2	2	52.17%	322	0	0	0.84	1	1
2	Martin Frk	Marlies (TOR)	LW/RW	37	12	16	28	-4	43	5	123	141	43	90	8.51%	7	20.83	4	4	8	130	0	1	1	106	1	0	42.47%	73	0	0	0.73	2	3
3	Dryden Hunt	Marlies (TOR)	LW	37	9	17	26	7	14	0	52	76	24	45	11.84%	3	15.99	2	8	10	114	0	0	0	40	1	1	52.33%	193	0	0	0.88	0	0
4	Jayson Megna	Marlies (TOR)	C	37	11	15	26	-3	10	0	13	138	50	92	7.97%	8	20.47	2	2	4	62	2	0	2	118	2	0	61.82%	1011	0	0	0.69	1	2
5	Rem Pitlick	Marlies (TOR)	C/LW/RW	37	7	19	26	-4	13	5	28	118	39	92	5.93%	8	17.83	1	10	11	127	0	0	0	0	1	0	53.85%	208	0	1	0.79	0	0
6	Travis Boyd	Marlies (TOR)	C/LW/RW	37	8	16	24	1	8	0	18	83	28	49	9.64%	6	17.40	3	3	6	76	0	0	0	30	4	1	53.73%	67	0	0	0.75	1	3
7	Louie Belpedio	Marlies (TOR)	D	37	4	16	20	-4	22	0	44	94	25	57	4.26%	48	23.63	3	2	5	115	0	1	1	88	0	0	0.00%	0	0	0	0.46	0	0
8	Jaycob Megna	Marlies (TOR)	D	36	3	16	19	5	28	0	74	47	15	28	6.38%	46	22.17	3	6	9	125	0	1	1	98	0	0	49.21%	189	0	0	0.48	0	0
9	Matthew Peca	Marlies (TOR)	C/LW/RW	35	4	9	13	0	2	0	9	81	17	48	4.94%	6	11.08	1	4	5	57	0	0	0	29	0	0	45.45%	22	0	0	0.67	0	0
10	Taylor Raddysh	Marlies (TOR)	RW	14	5	7	12	4	2	0	14	37	11	16	13.51%	1	14.54	1	2	3	35	0	0	0	0	3	0	40.00%	20	0	0	1.18	0	0
11	Logan Shaw	Marlies (TOR)	C/RW	27	6	5	11	1	10	0	45	77	13	59	7.79%	7	14.55	0	0	0	1	0	1	1	15	0	1	45.97%	335	0	0	0.56	0	0
12	Tyson Kozak	Marlies (TOR)	C/LW	35	7	4	11	-6	0	0	22	81	22	59	8.64%	4	13.75	2	3	5	90	1	0	1	101	0	3	59.37%	443	0	0	0.46	1	2
13	Victor Soderstrom	Marlies (TOR)	D	36	3	6	9	4	2	0	14	22	10	20	13.64%	26	15.29	2	1	3	50	0	0	0	13	2	0	0.00%	0	0	0	0.33	0	0
14	Brayden Pachal	Marlies (TOR)	D	37	2	6	8	4	26	0	98	25	9	17	8.00%	38	17.11	0	0	0	20	0	0	0	99	1	0	0.00%	0	0	0	0.25	0	0
15	Paul Cotter	Marlies (TOR)	C/LW/RW	27	6	2	8	-4	24	0	61	50	21	36	12.00%	4	13.36	1	0	1	11	0	0	0	17	3	0	57.14%	28	0	0	0.44	0	0
16	Joel Hanley	Marlies (TOR)	D	37	2	5	7	2	22	0	57	24	11	19	8.33%	29	20.19	0	0	0	66	0	0	0	54	0	0	0.00%	0	0	0	0.19	0	0
17	Nate Danielson	Marlies (TOR)	C	11	1	2	3	4	2	0	4	14	4	14	7.14%	0	16.56	0	0	0	0	0	0	0	0	1	0	55.61%	205	0	0	0.33	0	0
18	Michael Brandsegg-Nygard	Marlies (TOR)	LW/RW	18	1	2	3	-1	10	0	41	19	7	19	5.26%	2	13.14	0	0	0	15	0	0	0	0	0	0	50.00%	16	0	0	0.25	0	0
19	Vinnie Hinostroza	Marlies (TOR)	LW/RW	19	2	0	2	-1	0	0	4	6	6	10	33.33%	0	6.43	0	0	0	0	0	0	0	0	0	0	75.00%	4	0	0	0.33	0	0
20	Ryan Winterton	Marlies (TOR)	C	7	0	1	1	0	0	0	3	6	1	4	0.00%	0	9.08	0	0	0	12	0	0	0	8	0	0	47.87%	94	0	0	0.31	0	0
21	Braeden Cootes	Marlies (TOR)	C	7	0	1	1	4	0	0	0	1	1	2	0.00%	0	6.83	0	0	0	0	0	0	0	0	0	0	42.22%	45	0	0	0.42	0	0
22	Ian Moore	Marlies (TOR)	D	1	0	1	1	0	0	0	0	0	0	1	0.00%	0	12.28	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	1.63	0	0
23	Zach Bogosian	Marlies (TOR)	D	11	0	0	0	-1	0	0	7	1	0	1	0.00%	1	2.38	0	0	0	2	0	0	0	2	0	0	0.00%	0	0	0	0.00	0	0
24	Jan Jenik	Marlies (TOR)	RW	9	0	0	0	0	2	0	4	7	1	5	0.00%	1	4.81	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0.00	0	0
25	Albert Johansson	Marlies (TOR)	D	1	0	0	0	0	0	0	0	1	0	0	0.00%	0	18.17	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0
26	Noah Beck	Marlies (TOR)	D	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0
Team Total or Average			631	103	185	288	19	244	10	764	1293	401	863	7.97%	253	16.32	28	48	76	1204	3	4	7	854	21	8	55.16%	3276	0	1	0.56	6	11

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	EG	PS %	PSA	ST	BG	S1	S3
1	Cooper Black	Marlies (TOR)	4	2	1	0	0.948	1.35	223	0	1	5	97	0	0.000	0	3	17	1	0
2	Carter George	Marlies (TOR)	2	1	0	1	0.833	4.00	120	0	0	8	48	0	0.000	0	2	15	0	0
Team Total or Average		6	3	1	1	0.910	2.27	344	0	1	13	145	0	0.000	0	5	32	1	0

Salary

Player Name	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Aku Raty	RW	24	850,000$	850,000$	850,000$	850,000$	RFA
Albert Johansson	D	25	925,000$	925,000$	RFA
Braeden Cootes	C	18	975,000$	975,000$	975,000$	975,000$	RFA
Brayden Pachal	D	26	1,100,000$	1,100,000$	1,100,000$	1,100,000$	UFA
Carter George	G	19	845,833$	845,833$	845,833$	845,833$	RFA
Chase Pietila	D	21	0$	RFA
Connor Mackey	D	29	775,000$	775,000$	UFA
Cooper Black	G	24	950,000$	950,000$	RFA
Dryden Hunt	LW	30	850,000$	850,000$	UFA
Ian Moore	D	24	925,000$	925,000$	925,000$	RFA
Jackson Hallum	LW	23	0$	RFA
Jan Jenik	RW	25	900,000$	900,000$	RFA
Jaycob Megna	D	33	900,000$	900,000$	900,000$	UFA
Jayson Megna	C	35	900,000$	900,000$	900,000$	UFA
Joel Hanley	D	34	1,200,000$	1,200,000$	1,200,000$	UFA
Logan Shaw	C/RW	33	1,000,000$	1,000,000$	1,000,000$	UFA
Louie Belpedio	D	29	1,000,000$	1,000,000$	1,000,000$	UFA
Ludwig Persson	C/LW	22	814,999$	814,999$	814,999$	814,999$	RFA
Martin Frk	LW/RW	32	900,000$	900,000$	900,000$	UFA
Matthew Peca	C/LW/RW	32	775,000$	775,000$	UFA
Michael Benning	D	24	900,000$	900,000$	900,000$	900,000$	RFA
Michael Brandsegg-Nygard	LW/RW	20	942,500$	942,500$	942,500$	942,500$	RFA
Nate Danielson	C	21	886,666$	886,666$	886,666$	886,666$	RFA
Noah Beck	D	24	975,000$	975,000$	RFA
Paul Cotter	C/LW/RW	26	775,000$	775,000$	RFA
Rem Pitlick	C/LW/RW	28	900,000$	900,000$	900,000$	900,000$	UFA
Ruslan Iskhakov	C	25	900,000$	900,000$	RFA
Ryan Winterton	C	22	828,333$	828,333$	RFA
Samuel Bolduc	D	25	900,000$	900,000$	RFA
Taylor Raddysh	RW	27	800,000$	800,000$	UFA
Thomas Bordeleau	C/LW	24	950,000$	950,000$	RFA
Travis Boyd	C/LW/RW	32	900,000$	900,000$	UFA
Trent Miner	G	24	900,000$	900,000$	RFA
Tyson Kozak	C/LW	23	1,000,000$	1,000,000$	1,000,000$	RFA
Victor Soderstrom	D	24	775,000$	775,000$	RFA
Vinnie Hinostroza	LW/RW	31	1,000,000$	1,000,000$	1,000,000$	UFA
Zach Bogosian	D	35	1,250,000$	1,250,000$	UFA

Lines

Forward Lines
# - Travis Boyd	# - Jayson Megna	# - Martin Frk
# - Dryden Hunt	# - Nate Danielson	# - Taylor Raddysh
# - Matthew Peca	# - Rem Pitlick	# - Paul Cotter
# - Tyson Kozak	# - Jayson Megna	# - Michael Brandsegg-Nygard

Defensive Pairings
# - Zach Bogosian	# - Louie Belpedio
# - Albert Johansson	# - Joel Hanley
# - Ian Moore	# - Brayden Pachal

1st Power Play Unit
# - Travis Boyd		# - Paul Cotter		# - Martin Frk
# - Louie Belpedio			# - Rem Pitlick

2nd Power Play Unit
# - Dryden Hunt		# - Tyson Kozak		# - Jayson Megna
# - Joel Hanley			# - Brayden Pachal

Goalies
# - Cooper Black		# - Trent Miner

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	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	GF%	SH%	SV%	PDO	PDOBRK
1	Wranglers	1	0	1	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	43	33	24	6	28	431	426	421	26	30	8	10	23	2	0	0.00%	4	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	0.0%	0.0%	90.0%	90.0	Unlucky
2	Phantoms	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	2	3	1	0	43	33	24	6	36	431	426	421	26	28	2	8	20	6	1	16.67%	3	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	0.0%	2.8%	89.3%	92.1	Unlucky
3	Comets	3	1	1	0	0	0	1	6	8	-2	3	0.500	6	8	14	0	0	43	33	24	6	101	431	426	421	26	97	17	18	68	6	1	16.67%	9	1	88.89%	1	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	41.7%	5.9%	91.8%	97.7	DULL
4	Senators	1	1	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	43	33	24	6	51	431	426	421	26	34	12	10	26	6	2	33.33%	3	1	66.67%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	60.0%	9.8%	91.2%	101.0	LUCKY
5	Islanders	2	0	2	0	0	0	0	4	7	-3	0	0.000	4	8	12	0	0	43	33	24	6	64	431	426	421	26	57	22	6	49	5	0	0.00%	3	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	36.4%	6.3%	87.7%	94.0	Unlucky
6	Wolves	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	43	33	24	6	28	431	426	421	26	33	9	4	23	5	0	0.00%	2	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	25.0%	3.6%	90.9%	94.5	Unlucky
7	Wolf Pack	1	1	0	0	0	0	0	6	3	3	2	1.000	6	10	16	0	0	43	33	24	6	39	431	426	421	26	27	4	8	26	5	1	20.00%	3	1	66.67%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	71.4%	15.4%	88.9%	104.3	FUN
8	Griffins	3	1	1	1	0	0	0	6	6	0	4	0.667	6	11	17	0	1	43	33	24	6	119	431	426	421	26	86	24	20	67	15	1	6.67%	9	2	77.78%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	55.6%	5.0%	93.0%	98.1	DULL
9	Rocket	3	1	0	0	1	0	1	6	7	-1	4	0.667	6	12	18	0	1	43	33	24	6	98	431	426	421	26	84	30	18	65	12	3	25.00%	7	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	30.0%	6.1%	91.7%	97.8	DULL
10	Wild	1	1	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	43	33	24	6	45	431	426	421	26	29	4	10	20	4	0	0.00%	5	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	75.0%	6.7%	96.6%	103.2	DULL
11	Canucks	1	1	0	0	0	0	0	4	1	3	2	1.000	4	8	12	0	0	43	33	24	6	43	431	426	421	26	21	3	6	17	4	0	0.00%	2	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	80.0%	9.3%	95.2%	104.5	LUCKY
12	Crunch	4	2	1	0	1	0	0	14	8	6	5	0.625	14	27	41	0	2	43	33	24	6	136	431	426	421	26	111	32	39	82	16	4	25.00%	16	1	93.75%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	58.8%	10.3%	92.8%	103.1	LUCKY
13	Bruins	1	1	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	43	33	24	6	39	431	426	421	26	20	9	6	29	4	2	50.00%	2	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	50.0%	10.3%	90.0%	100.3	FUN
14	Americans	2	2	0	0	0	0	0	9	5	4	4	1.000	9	15	24	0	0	43	33	24	6	89	431	426	421	26	45	18	10	56	8	2	25.00%	5	2	60.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	70.0%	10.1%	88.9%	99.0	FUN
15	Checkers	2	1	0	1	0	0	0	7	4	3	4	1.000	7	12	19	0	0	43	33	24	6	59	431	426	421	26	56	15	26	50	9	4	44.44%	13	3	76.92%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	75.0%	11.9%	92.9%	104.7	LUCKY
16	Monsters	5	2	2	0	0	1	0	16	13	3	6	0.600	16	29	45	0	0	43	33	24	6	138	431	426	421	26	143	45	36	140	19	5	26.32%	18	1	94.44%	1	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	47.8%	11.6%	90.9%	102.5	FUN
17	Gulls	1	1	0	0	0	0	0	3	0	3	2	1.000	3	5	8	0	1	43	33	24	6	44	431	426	421	26	28	9	13	26	3	1	33.33%	4	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	100.0%	6.8%	100.0%	106.8	DULL
18	Stars	1	1	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	43	33	24	6	43	431	426	421	26	25	6	4	20	7	0	0.00%	1	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	60.0%	7.0%	92.0%	99.0	DULL
19	Penguins	1	0	1	0	0	0	0	1	2	-1	0	0.000	1	1	2	0	0	43	33	24	6	24	431	426	421	26	29	5	4	24	5	1	20.00%	2	0	100.00%	0	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	0.0%	4.2%	93.1%	97.3	DULL
20	Silver Knights	2	1	1	0	0	0	0	4	4	0	2	0.500	4	7	11	0	0	43	33	24	6	68	431	426	421	26	69	12	12	41	7	0	0.00%	5	0	100.00%	1	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	50.0%	5.9%	94.2%	100.1	DULL
	_Vs Division	14	10	5	1	2	1	2	35	39	-4	28	1.000	35	60	95	1	0	43	33	24	6	430	431	426	421	26	414	104	84	350	51	9	17.65%	40	3	92.50%	2	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	41.9%	8.1%	90.6%	98.7	Unlucky
	_Vs Conference	29	13	9	2	2	1	2	85	71	14	36	0.621	85	151	236	1	4	43	33	24	6	993	431	426	421	26	817	235	209	702	116	27	23.28%	93	12	87.10%	2	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	49.6%	8.6%	91.3%	99.9	DULL
	_Since Last GM Reset	37	18	12	2	2	1	2	103	85	18	46	0.622	103	184	287	1	5	43	33	24	6	1292	431	426	421	26	1052	286	268	872	148	28	18.92%	116	12	89.66%	3	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	50.7%	8.0%	91.9%	99.9	DULL
	Total	37	18	12	2	2	1	2	103	85	18	46	0.622	103	184	287	1	5	43	33	24	6	1292	431	426	421	26	1052	286	268	872	148	28	18.92%	116	12	89.66%	3	738	1412	52.27%	694	1247	55.65%	296	572	51.75%	929	629	811	284	501	257	50.7%	8.0%	91.9%	99.9	DULL

	Puck Time
Offensive Zone	25
Neutral Zone	13
Defensive Zone	21

	Puck Time
Offensive Zone Start	1412
Neutral Zone Start	572
Defensive Zone Start	1247

	Puck Time
With Puck	31
Without Puck	28

	Faceoffs
Faceoffs Won	1728
Faceoffs Lost	1503

	Team Average Shots after	League Average Shots after
1st Period	11.6	9.57
2nd Period	23.2	20.31
3rd Period	34.5	30.68
Overtime	35.2	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.2	0.64
2nd Period	2.1	1.65
3rd Period	2.7	2.67
Overtime	2.9	2.83


Even Strenght Goal	71
PP Goal	28
PK Goal	3
Empty Net Goal	1

	Home	Away
Win	13	8
Lost	5	7
Overtime Lost	2	2


PP Attempt	148
PP Goal	28
PK Attempt	116
PK Goal Against	12

	Home
Shots For	34.9
Shots Against	28.4
Goals For	2.8
Goals Against	2.3
Hits	23.6
Shots Blocked	7.7
Pim	7.2

Schedule

Date	Matchup			Result	Detail
2025-10-10	Americans	@	Marlies	Americans4,Marlies6	RECAP
2025-10-13	Rocket	@	Marlies	Rocket4,Marlies3 (OT)	RECAP
2025-10-17	Senators	@	Marlies	Senators3,Marlies5	RECAP
2025-10-19	Marlies	@	Griffins	Marlies2,Griffins0	RECAP
2025-10-21	Monsters	@	Marlies	Monsters4,Marlies3	RECAP
2025-10-22	Marlies	@	Comets	Marlies1,Comets4	RECAP
2025-10-25	Marlies	@	Americans	Marlies3,Americans1	RECAP
2025-10-26	Crunch	@	Marlies	Crunch0,Marlies3	RECAP
2025-10-29	Marlies	@	Crunch	Marlies3,Crunch5	RECAP
2025-10-30	Monsters	@	Marlies	Monsters1,Marlies4	RECAP
2025-11-01	Silver Knights	@	Marlies	Silver Knights3,Marlies2	RECAP
2025-11-09	Crunch	@	Marlies	Crunch3,Marlies2 (OT)	RECAP
2025-11-13	Marlies	@	Griffins	Marlies1,Griffins4	RECAP
2025-11-14	Islanders	@	Marlies	Islanders3,Marlies1	RECAP
2025-11-17	Marlies	@	Gulls	Marlies3,Gulls0	RECAP
2025-11-18	Wolf Pack	@	Marlies	Wolf Pack3,Marlies6	RECAP
2025-11-20	Marlies	@	Wild	Marlies3,Wild1	RECAP
2025-11-23	Crunch	@	Marlies	Crunch0,Marlies6	RECAP
2025-11-29	Stars	@	Marlies	Stars2,Marlies3	RECAP
2025-12-01	Marlies	@	Monsters	Marlies3,Monsters4	RECAP
2025-12-03	Bruins	@	Marlies	Bruins2,Marlies4	RECAP
2025-12-05	Marlies	@	Wranglers	Marlies0,Wranglers3	RECAP
2025-12-08	Marlies	@	Rocket	Marlies2,Rocket3 (SO)	RECAP
2025-12-09	Penguins	@	Marlies	Penguins2,Marlies1	RECAP
2025-12-13	Marlies	@	Checkers	Marlies4,Checkers3 (OT)	RECAP
2025-12-14	Monsters	@	Marlies	Monsters3,Marlies4	RECAP
2025-12-17	Marlies	@	Comets	Marlies2,Comets3 (SO)	RECAP
2025-12-20	Silver Knights	@	Marlies	Silver Knights1,Marlies2	RECAP
2025-12-22	Marlies	@	Wolves	Marlies1,Wolves3	RECAP
2025-12-24	Comets	@	Marlies	Comets1,Marlies3	RECAP
2025-12-28	Marlies	@	Griffins	Marlies3,Griffins2 (OT)	RECAP
2025-12-29	Phantoms	@	Marlies	Phantoms3,Marlies1	RECAP
2026-01-01	Marlies	@	Monsters	Marlies2,Monsters1 (SO)	RECAP
2026-01-02	Checkers	@	Marlies	Checkers1,Marlies3	RECAP
2026-01-05	Marlies	@	Canucks	Marlies4,Canucks1	RECAP
2026-01-08	Rocket	@	Marlies	Rocket0,Marlies1	RECAP
2026-01-12	Marlies	@	Islanders	Marlies3,Islanders4	RECAP
2026-01-13	Rocket	@	Marlies
2026-01-17	Marlies	@	Crunch
2026-01-18	Barracuda	@	Marlies
2026-01-21	Marlies	@	Rocket
2026-01-23	Senators	@	Marlies
2026-01-28	Americans	@	Marlies
2026-01-29	Marlies	@	Senators
2026-02-02	Eagles	@	Marlies
2026-02-04	Marlies	@	IceHogs
2026-02-06	Griffins	@	Marlies
2026-02-08	Marlies	@	Reign
2026-02-11	Senators	@	Marlies
2026-02-13	Marlies	@	Wolf Pack
2026-02-17	Firebirds	@	Marlies
2026-02-18	Marlies	@	Admirals
2026-02-21	Americans	@	Marlies
2026-02-23	Marlies	@	Bruins
2026-02-26	Bears	@	Marlies
2026-03-01	Marlies	@	Bears
2026-03-03	Marlies	@	Thunderbirds
2026-03-04	Comets	@	Marlies
2026-03-07	Marlies	@	Comets
Trade Deadline --- Trades can�t be done after this day is simulated!
2026-03-08	Griffins	@	Marlies
2026-03-12	Condors	@	Marlies
2026-03-13	Marlies	@	Penguins
2026-03-17	Marlies	@	Roadrunners
2026-03-18	Firebirds	@	Marlies
2026-03-20	Marlies	@	Americans
2026-03-22	Marlies	@	Senators
2026-03-23	Thunderbirds	@	Marlies
2026-03-24	Marlies	@	Firebirds
2026-03-29	Thunderbirds	@	Marlies
2026-03-30	Marlies	@	Moose
2026-03-31	Marlies	@	Firebirds
2026-04-01	Marlies	@	Phantoms

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,041,833$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Toronto
	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
16	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,041,833$	3,041,833$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
1,897,044$	16,899$	1,627,605$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	95	19,677$	1,633,191$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
1,633,191$	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

Ruslan Iskhakov is suspended for 45 more games.
Aku Raty is suspended for 45 more games.

Game Center

Rocket23-15-2, 48pts

01Final

Marlies21-12-4, 46pts

34Final

Islanders24-14-5, 53pts

Marlies21-12-4, 46pts

Tue, Jan 13

Islanders24-14-5, 53pts

Rocket23-15-2, 48pts

Tue, Oct 14

Marlies21-12-4, 46pts

Senators18-15-5, 41pts

Sat, Oct 18

Marlies21-12-4, 46pts

TRANSACTIONS

Team Info


	Head Coach	Jacques Martin
	Division	North
	City	Toronto
	Stadium Capacity	3,000

Marlies Affiliation


	General Manager	Dominic Dubé
	Head Coach	Bruce Cassidy
	Stadium	Scotiabank Arena
	Capacity	18,000

Team Leaders

GOALS Martin Frk Marlies	12 GOALS
POINTS Thomas Bordeleau Marlies	29 POINTS
WINS Brandon Bussi Marlies	14 WINS
Expanded Player Leaderboard

Team Stats

Goals For 103 2.78 GFG	Goals Against 85 2.30 GAA
Power Play Percentage 18.9% 28 GF	Penalty Kill Percentage 89.7% 12 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain