Toronto Maple Leafs
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	Toronto Marlies 3-2-0, 6pts	1	Box score	6	Belleville Senators 3-2-1, 7pts

Team Stats
W1	Streak	W2
2-1-0	Home Record	2-1-0
1-1-0	Home Record	1-1-1
3-2-0	Last 10 Games	3-2-1
2.60	Goals Per Game	2.83
2.80	Goals Against Per Game	2.50
11.76%	Power Play Percentage	45.45%
50.00%	Penalty Kill Percentage	83.33%

Springfield Thunderbirds
2-4-0, 4pts

Box score

Toronto Marlies
3-2-0, 6pts

Team Stats
L1	Streak	W1
1-1-0	Home Record	2-1-0
1-3-0	Home Record	1-1-0
2-4-0	Last 10 Games	3-2-0
1.67	Goals Per Game	2.60
3.17	Goals Against Per Game	2.80
8.33%	Power Play Percentage	11.76%
78.95%	Penalty Kill Percentage	50.00%

Belleville Senators
3-2-1, 7pts

Day 15

Toronto Marlies
3-2-0, 6pts

Team Stats
W2	Streak	W1
2-1-0	Home Record	2-1-0
1-1-1	Away Record	1-1-0
3-2-1	Last 10 Games	3-2-0
2.83	Goals Per Game	2.60
2.50	Goals Against Per Game	2.60
45.45%	Power Play Percentage	11.76%
83.33%	Penalty Kill Percentage	50.00%

Toronto Marlies
3-2-0, 6pts

Day 17

Syracuse Crunch
4-2-0, 8pts

Team Stats
W1	Streak	W1
2-1-0	Home Record	3-0-0
1-1-0	Away Record	1-2-0
3-2-0	Last 10 Games	4-2-0
2.60	Goals Per Game	3.83
2.80	Goals Against Per Game	3.83
11.76%	Power Play Percentage	37.04%
50.00%	Penalty Kill Percentage	61.54%

Toronto Marlies
3-2-0, 6pts

Day 19

Wilkes-Barre/Scranton Penguins
3-2-0, 6pts

Team Stats
W1	Streak	L1
2-1-0	Home Record	3-0-0
1-1-0	Away Record	0-2-0
3-2-0	Last 10 Games	3-2-0
2.60	Goals Per Game	3.60
2.80	Goals Against Per Game	3.60
11.76%	Power Play Percentage	35.29%
50.00%	Penalty Kill Percentage	68.75%

Team Leaders
Goals Jiri Kulich 3			Assists Jiri Kulich 2

Points Jiri Kulich 5			Plus/Minus Jake Livingstone 5

Wins Drew Commesso 3			Save Percentage Drew Commesso 0.894

Team Stats
Goals For 13 2.60 GFG	Shots For 141 28.20 Avg	Power Play Percentage 11.8% 2 GF	Offensive Zone Start 38.8%
Goals Against 14 2.80 GAA	Shots Against 132 26.40 Avg	Penalty Kill Percentage 50.0%% 5 GA	Defensive Zone Start 36.9%

Team Info
	General Manager	Tristan Goncalves-Paulin
	Coach	John MacLean
	Division	North
	Conference	Eastern
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,897
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	18
	Contract Limit	42 / 72
	Prospects	38

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	Jiri Kulich	0	X		X		99.00	62	40	79	77	80	85	67	72	67	64	68	66	72	58	50	1	40	65	0	22	2	950,000$
2	Logan Morrison	0	X				97.42	65	43	69	71	64	65	63	66	45	65	61	66	66	51	50	1	40	60	0	24	1	850,000$
3	Cameron Hebig	0	X	X	X		100.00	56	43	69	69	60	71	69	66	64	63	62	60	66	59	50	1	40	59	0	29	1	812,500$
4	Sean Farrell	0	X				100.00	58	42	73	71	60	67	65	65	44	64	59	60	65	52	50	1	40	59	0	24	2	850,000$
5	Danila Klimovich	0		X	X		100.00	61	46	63	65	66	64	62	64	43	59	60	55	63	51	50	1	40	57	0	23	1	850,000$
6	John Farinacci	0	X		X		100.00	57	40	74	65	62	67	65	62	54	59	55	56	60	53	50	1	40	56	0	25	2	910,000$
7	Francesco Arcuri (R)	0	X				100.00	60	40	70	65	65	60	60	60	70	60	55	60	60	50	50	1	40	56	0	23	1	800,000$
8	Samuel Lipkin (R)	0		X			100.00	60	40	70	65	60	60	60	60	40	60	55	60	60	50	50	1	40	56	0	23	1	851,667$
9	Chase Wheatcroft	0	X	X			100.00	60	41	70	64	63	62	60	55	41	54	52	56	57	52	50	1	40	54	0	24	1	870,000$
10	Luke Tuch	0		X			100.00	64	50	59	61	68	64	62	59	41	52	53	59	57	52	50	1	40	54	0	24	1	875,000$
11	Joey Larson	0			X		100.00	59	41	67	62	63	64	62	60	41	54	56	53	60	52	50	1	40	54	0	25	2	875,000$
12	Zac Jones	0				X	100.00	58	41	76	74	68	74	70	70	40	69	63	70	69	59	54	1	40	64	0	26	1	812,500$
13	Dennis Cholowski	0				X	100.00	56	40	77	70	81	82	72	67	40	64	62	65	66	77	67	1	40	64	0	28	1	875,000$
14	Ian Moore	0				X	100.00	67	40	76	71	78	75	68	67	40	62	63	71	67	55	50	1	40	64	0	24	2	1,150,000$
15	Steven Santini	0				X	100.00	63	41	72	63	67	70	68	59	40	54	53	67	58	65	59	1	40	60	0	31	1	800,000$
16	Jake Livingstone	0				X	100.00	66	43	69	65	69	68	66	62	40	58	54	68	60	55	50	1	40	60	0	27	1	800,000$
17	Kirill Kudryavtsev (R)	0				X	100.00	61	41	72	65	65	63	61	62	40	61	54	63	60	50	50	1	40	58	0	22	1	800,000$
18	Lukas Cormier	0				X	100.00	58	42	69	69	62	63	61	63	40	62	57	65	63	52	50	1	40	58	0	24	3	850,000$
Scratches
1	Simon Robertsson (R)	0			X		100.00	58	42	70	62	63	61	58	56	41	52	52	54	56	51	50	1	40	53	0	23	1	800,000$
2	Blake Biondi (R)	0	X				100.00	59	41	70	60	63	61	58	54	51	50	51	52	55	52	50	1	40	52	0	24	1	800,000$
3	Connor Mylymok	0		X			100.00	58	61	52	58	65	64	62	56	41	52	51	52	55	53	50	1	40	52	0	26	3	850,000$
4	John Prokop	0				X	100.00	56	40	68	61	61	60	57	54	40	51	51	56	55	52	50	1	40	53	0	25	2	875,000$

	TEAM AVERAGE						99.82	60	43	70	66	66	67	63	62	46	59	57	61	61	55	51	1	40	58

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	Drew Commesso	0	99.00	70	64	69	63	68	69	73	69	71	69	58	51	50	1	40	64	0	24	3	875,000$
2	Ruslan Khazheyev (R)	0	100.00	63	55	55	66	62	61	63	60	63	60	53	50	50	1	40	58	0	21	1	800,000$
Scratches

	TEAM AVERAGE		99.50	67	60	62	65	65	65	68	65	67	65	56	51	50	1	40	61

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John MacLean	69	66	70	74	66	61	1	CAN	61	2	1,000,000$

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	P/20	FW	FL	FT	S1	S2	S3
1	Jiri Kulich	Toronto Marlies (TOR)	C/RW	5	3	2	5	4	27	5	6	16	20	2	13	15.00%	2	104	20.94	0	0	0	1	9	0	1	1	0	5	1	0	57.61%	92	7	3	0.95	0	1	0	1	1	0
2	John Farinacci	Toronto Marlies (TOR)	C/RW	6	2	2	4	1	2	0	13	9	13	4	5	15.38%	1	109	18.31	0	0	0	2	15	0	0	0	1	1	1	0	62.50%	8	3	2	0.73	0	0	0	1	1	0
3	Cameron Hebig	Toronto Marlies (TOR)	C/LW/RW	5	1	2	3	2	4	0	6	7	18	5	9	5.56%	2	98	19.71	0	0	0	0	13	0	0	0	0	4	0	0	28.57%	7	3	1	0.61	0	0	0	0	0	0
4	Logan Morrison	Toronto Marlies (TOR)	C	5	2	1	3	1	5	5	11	7	22	1	11	9.09%	2	97	19.43	1	0	1	2	13	1	0	1	4	6	0	0	48.48%	66	7	2	0.62	1	0	0	0	0	1
5	Zac Jones	Toronto Marlies (TOR)	D	5	0	2	2	1	0	0	3	12	7	1	3	0%	9	127	25.45	0	1	1	0	14	0	1	1	0	7	0	0	0%	0	5	4	0.31	0	0	0	0	0	0
6	Samuel Lipkin	Toronto Marlies (TOR)	LW	5	1	1	2	0	2	0	7	7	7	1	2	14.29%	2	98	19.67	0	0	0	1	13	0	0	0	0	1	0	0	0%	5	0	3	0.41	0	0	0	0	0	1
7	Jake Livingstone	Toronto Marlies (TOR)	D	5	0	2	2	5	2	0	4	5	7	0	1	0%	3	83	16.78	0	0	0	0	7	0	0	0	0	0	0	0	0%	0	1	1	0.48	0	0	0	0	0	0
8	Luke Tuch	Toronto Marlies (TOR)	LW	5	1	1	2	-3	0	0	2	4	3	2	0	33.33%	0	45	9.03	0	0	0	0	3	0	0	0	0	0	0	0	0%	1	0	0	0.89	0	0	0	0	0	0
9	Danila Klimovich	Toronto Marlies (TOR)	LW/RW	5	1	1	2	3	0	0	10	5	8	3	8	12.50%	3	87	17.43	1	0	1	2	10	0	0	0	0	2	0	0	28.57%	7	1	2	0.46	0	0	0	0	0	1
10	Sean Farrell	Toronto Marlies (TOR)	C	5	1	1	2	0	2	0	5	4	9	5	5	11.11%	0	68	13.61	0	0	0	0	0	0	0	0	0	5	0	1	50.00%	36	4	0	0.59	0	0	0	0	0	0
11	Steven Santini	Toronto Marlies (TOR)	D	5	0	1	1	-1	0	0	3	6	1	0	0	0%	2	80	16.18	0	1	1	0	7	0	0	0	0	4	0	0	0%	0	0	4	0.25	0	0	0	0	0	0
12	Francesco Arcuri	Toronto Marlies (TOR)	C	4	0	1	1	-1	0	0	4	4	5	2	2	0%	0	45	11.28	0	0	0	0	4	0	0	0	0	0	0	0	74.19%	31	1	0	0.44	0	0	0	0	0	0
13	Dennis Cholowski	Toronto Marlies (TOR)	D	5	0	1	1	-2	2	0	1	4	7	4	2	0%	5	109	21.99	0	0	0	0	15	0	0	0	1	6	0	0	0%	0	1	3	0.18	0	0	0	0	0	0
14	Ian Moore	Toronto Marlies (TOR)	D	5	0	1	1	-1	9	5	5	12	7	1	1	0%	6	103	20.67	0	0	0	0	14	0	0	0	1	5	0	0	0%	0	2	0	0.19	0	0	1	0	0	0
15	Joey Larson	Toronto Marlies (TOR)	RW	5	1	0	1	0	0	0	3	3	6	4	5	16.67%	1	75	15.15	0	0	0	0	4	0	0	0	0	2	1	0	25.00%	4	1	0	0.26	0	0	0	0	1	0
16	Chase Wheatcroft	Toronto Marlies (TOR)	C/LW	6	0	0	0	2	7	5	5	6	4	0	3	0%	1	80	13.40	0	0	0	0	3	0	0	0	0	0	0	0	66.67%	6	0	0	0	0	0	1	0	0	0
17	John Prokop	Toronto Marlies (TOR)	D	1	0	0	0	0	0	0	0	0	0	0	0	0%	0	5	5.67	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0
18	Blake Biondi	Toronto Marlies (TOR)	C	1	0	0	0	-1	0	0	0	1	0	0	0	0%	0	8	8.30	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	0	0	0	0	0	0	0	0
19	Kirill Kudryavtsev	Toronto Marlies (TOR)	D	5	0	0	0	-1	0	0	4	3	0	1	0	0%	0	29	5.87	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	0	2	0	0	0	0	0	0	0
20	Lukas Cormier	Toronto Marlies (TOR)	D	5	0	0	0	3	2	0	1	6	1	0	0	0%	1	60	12.12	0	0	0	0	0	0	0	0	0	2	0	0	0%	0	0	0	0	0	0	0	0	0	0
21	Simon Robertsson	Toronto Marlies (TOR)	RW	1	0	0	0	-1	0	0	4	1	1	0	0	0%	0	15	15.07	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	1	0	0	0	0	0	0	0
Team Total or Average				94	13	19	32	11	64	20	97	122	146	36	70	8.90%	40	1534	16.33	2	2	4	8	150	1	2	3	7	58	3	1	53.21%	265	36	28	0.42	1	1	2	2	3	3

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Drew Commesso	Toronto Marlies (TOR)	5	3	2	0	0.894	2.80	300	0	0	14	132	69	1	0	0	0	5	0	1	0	0
Team Total or Average			5	3	2	0	0.894	2.80	300	0	0	14	132	69	1	0		0	5	0	1	0	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	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 Remaining	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
Blake Biondi	Toronto Marlies (TOR)	C	24	2002-04-24	USA	Yes	198 Lbs	6 ft1	No	No	Prospect		No	Yes	1	2026-09-04	False	False	Pro & Farm	800,000$	751,628$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Cameron Hebig	Toronto Marlies (TOR)	C/LW/RW	29	1997-01-21	CAN	No	185 Lbs	5 ft10	No	No	Trade	2026-10-17	No	Yes	1	2026-08-20	False	False	Pro & Farm	812,500$	763,372$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Chase Wheatcroft	Toronto Marlies (TOR)	C/LW	24	2002-05-28	CAN	No	185 Lbs	6 ft2	No	No	Trade	2026-10-16	No	Yes	1	2024-11-19	False	False	Pro & Farm	870,000$	817,395$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Connor Mylymok	Toronto Marlies (TOR)	LW	26	2000-03-18	USA	No	205 Lbs	6 ft1	No	No	Trade	2026-10-17	No	Yes	3	2026-09-10	False	False	Pro & Farm	850,000$	798,605$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Danila Klimovich	Toronto Marlies (TOR)	LW/RW	23	2003-01-09	BEL	No	202 Lbs	6 ft2	No	No	Trade	2026-10-17	No	Yes	1	2026-07-01	False	False	Pro & Farm	850,000$	798,605$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dennis Cholowski	Toronto Marlies (TOR)	D	28	1998-02-15	CAN	No	210 Lbs	6 ft2	No	No	Free Agent		No	Yes	1	2026-07-02	False	False	Pro & Farm	875,000$	822,093$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Drew Commesso	Toronto Marlies (TOR)	G	24	2002-07-19	USA	No	181 Lbs	6 ft2	No	No	Free Agent		No	Yes	3	2026-07-06	False	False	Pro & Farm	875,000$	822,093$	0$	0$	No	875,000$	875,000$	-	-	-	-	-	-	-	875,000$	875,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Francesco Arcuri	Toronto Marlies (TOR)	C	23	2003-06-13	CAN	Yes	201 Lbs	6 ft2	No	No	Trade	2026-10-17	No	Yes	1	2026-08-20	False	False	Pro & Farm	800,000$	751,628$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ian Moore	Toronto Marlies (TOR)	D	24	2002-01-04	USA	No	205 Lbs	6 ft3	No	No	Trade	2026-09-06	No	Yes	2	2026-08-02	False	False	Pro & Farm	1,150,000$	1,080,465$	0$	0$	No	1,150,000$	-	-	-	-	-	-	-	-	1,150,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jake Livingstone	Toronto Marlies (TOR)	D	27	1999-04-16	CAN	No	213 Lbs	6 ft4	No	No	Free Agent		No	Yes	1	2024-09-03	False	False	Pro & Farm	800,000$	751,628$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jiri Kulich	Toronto Marlies (TOR)	C/RW	22	2004-04-14	CZE	No	193 Lbs	6 ft1	No	No	Trade	2026-09-03	No	Yes	2	2025-03-26	False	False	Pro & Farm	950,000$	892,558$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Joey Larson	Toronto Marlies (TOR)	RW	25	2001-03-27	USA	No	196 Lbs	6 ft1	No	No	Trade	2026-10-16	No	Yes	2	2026-07-30	False	False	Pro & Farm	875,000$	822,093$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
John Farinacci	Toronto Marlies (TOR)	C/RW	25	2001-02-14	USA	No	184 Lbs	5 ft11	No	No	Trade	2026-10-16	No	Yes	2	2025-09-25	False	False	Pro & Farm	910,000$	854,977$	0$	0$	No	910,000$	-	-	-	-	-	-	-	-	910,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
John Prokop	Toronto Marlies (TOR)	D	25	2001-05-13	USA	No	195 Lbs	6 ft3	No	No	Trade	2026-10-16	No	Yes	2	2025-10-02	False	False	Pro & Farm	875,000$	822,093$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kirill Kudryavtsev	Toronto Marlies (TOR)	D	22	2004-02-05	RUS	Yes	200 Lbs	5 ft11	No	No	Prospect		No	Yes	1	2026-10-11	False	False	Pro & Farm	800,000$	751,628$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Logan Morrison	Toronto Marlies (TOR)	C	24	2002-07-09	CAN	No	188 Lbs	6 ft1	No	No	Trade	2024-10-31	No	Yes	1	2026-06-22	False	False	Pro & Farm	850,000$	798,605$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Lukas Cormier	Toronto Marlies (TOR)	D	24	2002-03-27	CAN	No	184 Lbs	5 ft11	No	No	N/A		No	Yes	3	2026-07-06	False	False	Pro & Farm	850,000$	798,605$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Luke Tuch	Toronto Marlies (TOR)	LW	24	2002-03-07	USA	No	219 Lbs	6 ft2	No	No	Trade	2026-09-14	No	Yes	1	2026-07-15	False	False	Pro & Farm	875,000$	822,093$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ruslan Khazheyev	Toronto Marlies (TOR)	G	21	2004-11-20	RUS	Yes	201 Lbs	6 ft4	No	No	Prospect		No	Yes	1	2026-09-04	False	False	Pro & Farm	800,000$	751,628$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Samuel Lipkin	Toronto Marlies (TOR)	LW	23	2003-01-03	USA	Yes	192 Lbs	6 ft2	No	No	N/A		No	Yes	1		False	False	Pro & Farm	851,667$	800,171$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sean Farrell	Toronto Marlies (TOR)	C	24	2001-11-02	USA	No	188 Lbs	5 ft9	No	No	Trade	2026-09-14	No	Yes	2	2026-07-30	False	False	Pro & Farm	850,000$	798,605$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Simon Robertsson	Toronto Marlies (TOR)	RW	23	2003-02-05	SWE	Yes	194 Lbs	6 ft0	No	No	Prospect		No	Yes	1	2026-10-11	False	False	Pro & Farm	800,000$	751,628$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Steven Santini	Toronto Marlies (TOR)	D	31	1995-03-07	USA	No	217 Lbs	6 ft3	No	No	Free Agent		No	Yes	1	2024-09-03	False	False	Pro & Farm	800,000$	751,628$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Zac Jones	Toronto Marlies (TOR)	D	26	2000-10-18	USA	No	190 Lbs	5 ft11	No	No	Free Agent		No	Yes	1	2024-10-15	False	False	Pro & Farm	812,500$	763,372$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	24.63	197 Lbs	6 ft1	1.50	857,569$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Cameron Hebig	Jiri Kulich	Danila Klimovich	35	1	2	2
2	Samuel Lipkin	Logan Morrison	John Farinacci	35	1	2	2
3	Chase Wheatcroft	Sean Farrell	Joey Larson	20	1	2	2
4	Luke Tuch	Francesco Arcuri	Jiri Kulich	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zac Jones	Ian Moore	35	1	2	2
2	Dennis Cholowski	Steven Santini	35	1	2	2
3	Jake Livingstone	Lukas Cormier	20	1	2	2
4	Kirill Kudryavtsev	Zac Jones	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Cameron Hebig	Jiri Kulich	Danila Klimovich	50	1	2	2
2	Samuel Lipkin	Logan Morrison	John Farinacci	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zac Jones	Ian Moore	50	1	2	2
2	Dennis Cholowski	Steven Santini	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jiri Kulich	Logan Morrison	50	1	2	2
2	Sean Farrell	Cameron Hebig	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zac Jones	Ian Moore	50	1	2	2
2	Dennis Cholowski	Steven Santini	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jiri Kulich	50	1	2	2	Zac Jones	Ian Moore	50	1	2	2
2	Logan Morrison	50	1	2	2	Dennis Cholowski	Steven Santini	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jiri Kulich	Logan Morrison	50	1	2	2
2	Sean Farrell	Cameron Hebig	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zac Jones	Ian Moore	50	1	2	2
2	Dennis Cholowski	Steven Santini	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Cameron Hebig	Jiri Kulich	Danila Klimovich	Zac Jones	Ian Moore

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Cameron Hebig	Jiri Kulich	Danila Klimovich	Zac Jones	Ian Moore

Extra Forwards
Normal	PowerPlay	Penalty Kill
Francesco Arcuri, Chase Wheatcroft, Joey Larson	Francesco Arcuri, Chase Wheatcroft	Joey Larson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jake Livingstone, Lukas Cormier, Kirill Kudryavtsev	Jake Livingstone	Lukas Cormier, Kirill Kudryavtsev

Penalty Shots
Jiri Kulich, Logan Morrison, Sean Farrell, Cameron Hebig, Danila Klimovich

Goalie
#1 : Drew Commesso, #2 : Ruslan Khazheyev

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	RI
1	Belleville Senators	3	1	2	0	0	0	0	0	7	11	-4	1	0	1	0	0	0	0	0	1	3	-2	2	1	1	0	0	0	0	0	6	8	-2	2	0.333	7	10	17	0	0	2	6	5	0	87	46	50	45	0	84	19	47	55	16	2	12.50%	6	3	50.00%	1	55	101	54.46%	49	96	51.04%	36	63	57.14%	100	51	101	47	98	52
2	Rochester American	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	2	6	5	0	26	46	50	45	0	28	13	7	16	0	0	0%	1	1	0.00%	0	55	101	54.46%	49	96	51.04%	36	63	57.14%	100	51	101	47	98	52
3	Springfield Thunderbirds	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	2	6	5	0	28	46	50	45	0	20	4	6	21	1	0	0.00%	3	1	66.67%	0	55	101	54.46%	49	96	51.04%	36	63	57.14%	100	51	101	47	98	52
	Total	5	3	2	0	0	0	0	0	13	14	-1	3	2	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	6	8	-2	6	0.600	13	19	32	0	0	2	6	5	0	141	46	50	45	0	132	36	60	92	17	2	11.76%	10	5	50.00%	1	55	101	54.46%	49	96	51.04%	36	63	57.14%	100	51	101	47	98	52
	_Since Last GM Reset	5	3	2	0	0	0	0	0	13	14	-1	3	2	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	6	8	-2	6	0.600	13	19	32	0	0	2	6	5	0	141	46	50	45	0	132	36	60	92	17	2	11.76%	10	5	50.00%	1	55	101	54.46%	49	96	51.04%	36	63	57.14%	100	51	101	47	98	52
	_Vs Conference	5	3	2	0	0	0	0	0	13	14	-1	3	2	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	6	8	-2	6	0.600	13	19	32	0	0	2	6	5	0	141	46	50	45	0	132	36	60	92	17	2	11.76%	10	5	50.00%	1	55	101	54.46%	49	96	51.04%	36	63	57.14%	100	51	101	47	98	52

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
5	6	W1	13	19	32	141	132	36	60	92	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	2	0	0	0	0	13	14

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	7	6

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	6	8

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	2	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
17	2	11.76%	10	5	50.00%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
46	50	45	0	2	6	5	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
55	101	54.46%	49	96	51.04%	36	63	57.14%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
100	51	101	47	98	52

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	Link
3	10	Belleville Senators	3	Toronto Marlies	1	L	Box score
4	22	Toronto Marlies	5	Belleville Senators	2	W	Box score
7	33	Rochester American	1	Toronto Marlies	2	W	Box score
10	52	Toronto Marlies	1	Belleville Senators	6	L	Box score
12	64	Springfield Thunderbirds	2	Toronto Marlies	4	W	Box score
15	80	Belleville Senators	-	Toronto Marlies	-
17	96	Toronto Marlies	-	Syracuse Crunch	-
19	107	Toronto Marlies	-	Wilkes-Barre/Scranton Penguins	-
21	116	Laval Rocket	-	Toronto Marlies	-
23	125	Toronto Marlies	-	Lehigh Valley Phantoms	-
25	138	Toronto Marlies	-	Providence Bruins	-
26	147	Wilkes-Barre/Scranton Penguins	-	Toronto Marlies	-
30	160	Toronto Marlies	-	Texas Stars	-
33	174	Toronto Marlies	-	Hershey Bears	-
34	179	Hartford Wolf Pack	-	Toronto Marlies	-
37	195	Chicago Wolves	-	Toronto Marlies	-
40	208	Toronto Marlies	-	Hartford Wolf Pack	-
42	222	Toronto Marlies	-	Springfield Thunderbirds	-
44	230	San Jose Barracuda	-	Toronto Marlies	-
47	247	Toronto Marlies	-	Rochester American	-
48	255	Manitoba Moose	-	Toronto Marlies	-
51	270	Toronto Marlies	-	Wilkes-Barre/Scranton Penguins	-
53	280	Rochester American	-	Toronto Marlies	-
55	296	Toronto Marlies	-	Rockford IceHogs	-
57	307	Wilkes-Barre/Scranton Penguins	-	Toronto Marlies	-
60	322	Toronto Marlies	-	Henderson Silver Knights	-
62	333	Syracuse Crunch	-	Toronto Marlies	-
64	347	Toronto Marlies	-	Bridgeport Islanders	-
67	357	Providence Bruins	-	Toronto Marlies	-
69	373	Toronto Marlies	-	Belleville Senators	-
71	384	Rockford IceHogs	-	Toronto Marlies	-
73	395	Toronto Marlies	-	Laval Rocket	-
76	409	Lehigh Valley Phantoms	-	Toronto Marlies	-
78	416	Toronto Marlies	-	Lehigh Valley Phantoms	-
82	434	Providence Bruins	-	Toronto Marlies	-
84	449	Toronto Marlies	-	Milwaukee Admirals	-
86	457	Toronto Marlies	-	Colorado Eagles	-
88	466	Henderson Silver Knights	-	Toronto Marlies	-
91	483	Toronto Marlies	-	Grand Rapids Griffins	-
92	491	Milwaukee Admirals	-	Toronto Marlies	-
95	505	Toronto Marlies	-	Grand Rapids Griffins	-
97	515	Syracuse Crunch	-	Toronto Marlies	-
100	533	Toronto Marlies	-	Belleville Senators	-
101	542	Hartford Wolf Pack	-	Toronto Marlies	-
104	561	Toronto Marlies	-	Providence Bruins	-
105	567	Hershey Bears	-	Toronto Marlies	-
108	580	Toronto Marlies	-	Ontario Reign	-
110	593	San Diego Gulls	-	Toronto Marlies	-
113	611	Toronto Marlies	-	Rochester American	-
115	619	Grand Rapids Griffins	-	Toronto Marlies	-
117	630	Toronto Marlies	-	Texas Stars	-
119	643	Laval Rocket	-	Toronto Marlies	-
121	652	Toronto Marlies	-	Iowa Wild	-
125	671	Grand Rapids Griffins	-	Toronto Marlies	-
128	683	Toronto Marlies	-	Hershey Bears	-
130	697	Laval Rocket	-	Toronto Marlies	-
133	715	Toronto Marlies	-	Wilkes-Barre/Scranton Penguins	-
134	723	Hershey Bears	-	Toronto Marlies	-
138	738	Toronto Marlies	-	Chicago Wolves	-
140	747	Toronto Marlies	-	Syracuse Crunch	-
141	753	Rochester American	-	Toronto Marlies	-
145	773	Texas Stars	-	Toronto Marlies	-
148	794	Toronto Marlies	-	Chicago Wolves	-
149	802	Toronto Marlies	-	Coachella Valley Firebirds	-
150	805	Iowa Wild	-	Toronto Marlies	-
153	826	Colorado Eagles	-	Toronto Marlies	-
156	844	Toronto Marlies	-	Abbotsford Canucks	-
158	853	Ontario Reign	-	Toronto Marlies	-
162	873	Toronto Marlies	-	Abbotsford Canucks	-
163	879	Texas Stars	-	Toronto Marlies	-
166	900	Toronto Marlies	-	San Jose Barracuda	-
167	907	Bridgeport Islanders	-	Toronto Marlies	-
169	914	Toronto Marlies	-	Laval Rocket	-
171	929	Toronto Marlies	-	Manitoba Moose	-
173	934	Abbotsford Canucks	-	Toronto Marlies	-
Trade Deadline --- Trades can’t be done after this day is simulated!
176	952	Toronto Marlies	-	San Diego Gulls	-
178	960	Lehigh Valley Phantoms	-	Toronto Marlies	-
183	981	Toronto Marlies	-	Syracuse Crunch	-
184	988	Coachella Valley Firebirds	-	Toronto Marlies	-
189	1013	Belleville Senators	-	Toronto Marlies	-
193	1026	Toronto Marlies	-	Springfield Thunderbirds	-
195	1039	Belleville Senators	-	Toronto Marlies	-
199	1061	Chicago Wolves	-	Toronto Marlies	-
205	1085	Springfield Thunderbirds	-	Toronto Marlies	-
207	1098	Toronto Marlies	-	Hartford Wolf Pack	-
212	1109	Springfield Thunderbirds	-	Toronto Marlies	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	5,779	2,913
Attendance PCT	96.32%	97.10%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
40	2897 - 96.58%	122,160$	366,479$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
177,005$	2,058,167$	2,058,167$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
9,573$	116,542$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
4,886,387$	202	14,224$	2,873,248$

Toronto Marlies 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

Toronto Marlies Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Toronto Marlies 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

Toronto Marlies Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Toronto Marlies 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

	Toronto Marlies
	GP: 5 \| W: 3 \| L: 2 \| OTL: 0 \| P: 6 GF: 13 \| GA: 14 \| PP%: 11.76% \| PK%: 50.00% GM : Tristan Goncalves-Paulin \| Morale : 40 \| Team Overall : 58 Next Games #80 vs Belleville Senators