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

Laval Rocket
4-1-1, 9pts

Day 2

Toronto Marlies
4-1-0, 8pts

Team Stats
N/A	Streak	N/A
2-0-1	Home Record	3-1-0
2-1-0	Away Record	1-0-0
0-0-0	Last 10 Games	0-0-0
2.50	Goals Per Game	3.20
1.83	Goals Against Per Game	3.20
20.00%	Power Play Percentage	22.22%
75.00%	Penalty Kill Percentage	80.00%

Toronto Marlies
4-1-0, 8pts

Day 3

Rochester Americans
2-3-1, 5pts

Team Stats
N/A	Streak	N/A
3-1-0	Home Record	2-1-1
1-0-0	Away Record	0-2-0
0-0-0	Last 10 Games	0-0-0
3.20	Goals Per Game	2.17
2.40	Goals Against Per Game	2.17
22.22%	Power Play Percentage	15.38%
80.00%	Penalty Kill Percentage	76.47%

Toronto Marlies
4-1-0, 8pts

Day 5

Calgary Wranglers
3-3-1, 7pts

Team Stats
N/A	Streak	N/A
3-1-0	Home Record	2-1-0
1-0-0	Away Record	1-2-1
0-0-0	Last 10 Games	0-0-0
3.20	Goals Per Game	2.86
2.40	Goals Against Per Game	2.86
22.22%	Power Play Percentage	21.05%
80.00%	Penalty Kill Percentage	87.50%

Team Leaders
	Goals Tony DeAngelo 2	Assists Tony DeAngelo 4

	Points Tony DeAngelo 6	Plus/Minus Dalibor Dvorsky 4

	Wins Connor Hughes 2	Save Percentage Dylan Garand 1

Team Stats
Goals For 16 3.20 GFG	Shots For 150 30.00 Avg	Power Play Percentage 22.2% 4 GF	Offensive Zone Start 44.4%
Goals Against 12 2.40 GAA	Shots Against 129 25.80 Avg	Penalty Kill Percentage 80.0%% 2 GA	Defensive Zone Start 36.8%

Team Info
	General Manager	Flavio
	Coach	Ryan Huska
	Division	North Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	44
	Farm Team	20
	Contract Limit	64 / 70
	Prospects	22

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	Kieffer Bellows		X	X		99.00	68	40	76	73	78	81	71	69	45	63	64	62	69	75	65	0	45	67	0	27	1	1,100,000$
2	Fraser Minten (R)	X	X	X		99.00	71	40	84	77	83	83	68	69	70	63	65	67	70	58	50	0	45	67	0	21	2	1,100,000$
3	Alex Steeves	X	X	X		99.00	63	45	65	71	64	67	65	69	45	65	68	63	69	53	50	0	45	64	0	26	1	800,000$
4	Jacob Quillan (R)	X	X	X		100.00	66	43	68	66	66	65	63	65	62	62	61	63	64	51	50	0	45	62	0	23	1	800,000$
5	Nick Abruzzese	X	X	X		100.00	54	41	75	65	61	70	68	64	44	64	58	52	62	54	50	0	45	60	0	26	1	840,000$
6	Dalibor Dvorsky (R)	X	X	X		100.00	61	42	72	65	66	59	56	65	44	63	61	53	64	50	50	0	45	60	0	20	3	1,400,000$
7	Roni Hirvonen (R)	X	X	X		99.00	55	42	71	65	60	65	63	61	60	56	55	52	60	51	50	0	45	58	0	23	2	1,155,000$
8	Matvei Petrov (R)		X	X		100.00	59	41	73	64	63	63	61	60	42	53	54	52	59	50	50	0	45	57	0	22	1	800,000$
9	Ryan Tverberg (R)	X	X	X		100.00	59	41	72	64	63	64	62	58	42	53	52	54	58	51	50	0	45	57	0	23	1	775,000$
10	Luke Haymes (R)	X	X	X		100.00	63	40	70	63	65	58	55	55	54	51	51	56	56	50	50	0	38	56	0	22	1	800,000$
11	Robert Mastrosimone (R)	X	X	X		100.00	54	42	71	65	56	65	63	60	42	51	55	53	60	52	50	0	38	56	0	24	1	840,000$
12	Jakub Rychlovsky (R)		X	X		100.00	59	41	72	65	62	62	59	56	40	51	52	54	58	51	50	0	38	56	0	24	2	1,495,000$
13	Tony DeAngelo				X	99.00	59	40	83	77	73	92	79	77	40	69	60	68	74	83	73	0	42	73	0	30	3	2,500,000$
14	Zayne Parekh (R)				X	99.00	56	40	76	76	77	90	60	67	40	53	55	62	69	51	50	0	45	66	0	19	3	1,400,000$
15	William Villeneuve (R)				X	99.00	65	44	66	71	64	65	63	65	40	57	46	70	64	51	50	0	45	64	0	23	1	900,000$
16	Vsevolod Komarov (R)				X	100.00	67	54	57	65	69	63	61	64	40	52	44	67	61	50	50	0	45	62	0	21	3	850,000$
17	Cade Webber (R)				X	100.00	67	43	67	61	72	66	64	59	40	44	43	67	57	52	50	0	45	61	0	24	1	900,000$
18	Mikko Kokkonen (R)				X	100.00	61	42	71	65	64	65	63	60	40	48	45	66	60	52	50	0	45	61	0	24	1	975,000$
Scratches
1	Nikita Grebyonkin (R)		X	X		100.00	61	44	66	66	64	63	61	62	43	61	57	55	62	50	50	0	42	59	0	22	3	850,000$
2	Ty Voit (R)	X	X	X		100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	55	55	0	35	55	0	22	1	850,000$
3	Theo Rochette (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	0	35	55	0	23	2	1,495,000$
4	Joe Miller (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	0	35	55	0	23	2	800,000$
5	Danil Aimurzin (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	0	35	55	0	23	2	995,000$
6	Veeti Miettinen (R)		X	X		100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	55	55	0	35	55	0	24	1	800,000$
7	Nikita Gusev		X	X		100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	55	55	0	35	55	0	33	2	995,000$
8	Vladimir Alistrov (R)		X	X		100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	55	55	0	35	55	0	24	2	995,000$
9	Semyon Kizimov		X	X		100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	55	55	0	35	55	0	25	1	775,000$
10	Ryan Kirwan (R)		X	X		100.00	63	40	70	59	67	60	57	52	40	51	50	55	54	51	50	0	39	55	0	23	1	800,000$
11	David Tomasek	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	0	35	55	0	29	3	910,000$
12	Yegor Vinogradov (R)	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	0	1	54	0	22	1	800,000$
13	Yegor Goryunov (R)		X	X		100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	55	55	0	1	54	0	21	1	800,000$
14	Topi Niemela (R)				X	100.00	54	41	73	65	62	65	63	62	40	54	44	61	60	51	50	0	42	60	0	23	2	1,023,750$
15	Tommy Miller				X	100.00	57	41	72	65	62	65	62	56	40	43	41	62	57	54	50	0	42	59	0	26	1	800,000$
16	Mike Koster (R)				X	100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	55	55	0	35	56	0	24	1	850,000$
17	John Fusco (R)				X	100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	55	55	0	35	56	0	24	1	775,000$
18	Noah Chadwick (R)				X	100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	55	55	0	35	56	0	20	2	800,000$

	TEAM AVERAGE					99.81	59	47	65	62	62	63	60	60	45	55	54	58	59	54	53	0	38	59

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	Connor Hughes	97.00	72	68	69	73	71	71	73	70	71	71	63	58	51	0	37	65	0	29	2	1,495,000$
2	Dylan Garand (R)	97.00	73	64	69	61	69	71	75	70	74	70	56	51	50	0	46	64	0	23	1	840,000$
Scratches
1	Keith Petruzzelli	100.00	65	57	55	65	62	60	60	57	61	61	50	54	50	0	38	56	0	26	1	800,000$
2	Luke Cavallin (R)	100.00	63	55	55	66	61	58	58	54	60	60	50	52	50	0	38	55	0	24	1	800,000$
3	Tristan Lennox (R)	100.00	59	55	55	66	59	55	54	50	56	58	50	50	50	0	38	52	0	23	2	975,000$
4	Vyacheslav Peksa (R)	100.00	59	55	55	63	58	54	53	50	53	57	50	50	50	0	38	52	0	23	2	800,000$
5	Stephane Charlin	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	0	38	51	0	25	1	813,750$
6	Maxim Motorygin (R)	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	0	38	51	0	23	1	800,000$

	TEAM AVERAGE	99.25	63	58	59	63	61	60	60	58	61	61	54	53	51	0	39	56

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ryan Huska	88	87	78	85	78	65	1	CAN	49	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	PSG	PSS	S1	S2	S3
1	Tony DeAngelo	Toronto Marlies (TOR)	D	5	2	4	6	0	0	12	10	11	1	8	18.18%	3	115	23.14	2	2	4	7	15	0	9	1	0	0%	0	1.04	0	0	1	1	0
2	Jacob Quillan	Toronto Marlies (TOR)	C/LW/RW	5	2	2	4	0	6	7	11	11	0	8	18.18%	0	86	17.33	0	0	0	2	12	0	0	0	0	60.47%	86	0.92	0	0	0	0	0
3	William Villeneuve	Toronto Marlies (TOR)	D	5	0	4	4	2	0	10	9	8	2	3	0%	2	108	21.74	0	0	0	1	11	0	6	0	0	0%	0	0.74	0	0	0	0	0
4	Zayne Parekh	Toronto Marlies (TOR)	D	5	2	2	4	0	4	7	6	11	2	6	18.18%	2	127	25.48	2	1	3	6	15	0	7	0	0	0%	0	0.63	0	0	0	0	1
5	Dalibor Dvorsky	Toronto Marlies (TOR)	C/LW/RW	5	1	3	4	4	2	3	6	11	2	10	9.09%	0	67	13.57	0	0	0	0	1	0	0	0	0	53.57%	28	1.18	1	1	1	0	0
6	Alex Steeves	Toronto Marlies (TOR)	C/LW/RW	5	1	2	3	1	2	11	12	15	6	15	6.67%	1	104	20.83	0	1	1	4	13	0	6	1	0	42.86%	105	0.58	1	1	0	1	0
7	Cade Webber	Toronto Marlies (TOR)	D	5	0	3	3	-1	4	3	2	6	1	4	0%	3	84	16.87	0	0	0	0	0	0	5	0	0	0%	0	0.71	0	0	0	0	0
8	Nick Abruzzese	Toronto Marlies (TOR)	C/LW/RW	5	2	1	3	1	0	3	5	9	3	8	22.22%	0	91	18.34	0	1	1	2	13	0	8	0	1	61.54%	13	0.65	0	0	0	1	0
9	Kieffer Bellows	Toronto Marlies (TOR)	LW/RW	5	1	1	2	-1	4	8	6	18	3	13	5.56%	0	105	21.14	0	0	0	1	12	0	6	0	0	55.56%	9	0.38	0	1	0	0	1
10	Matvei Petrov	Toronto Marlies (TOR)	LW/RW	5	2	0	2	1	2	1	5	4	4	3	50.00%	0	75	15.19	0	0	0	0	0	0	0	1	0	75.00%	4	0.53	0	0	0	1	0
11	Fraser Minten	Toronto Marlies (TOR)	C/LW/RW	5	1	1	2	-1	0	7	13	23	5	13	4.35%	0	112	22.42	0	0	0	3	14	1	8	0	0	61.94%	134	0.36	0	0	0	1	0
12	Luke Haymes	Toronto Marlies (TOR)	C/LW/RW	2	0	1	1	1	0	4	1	3	0	1	0%	0	15	7.72	0	0	0	1	1	0	0	0	0	33.33%	3	1.29	0	0	0	0	0
13	Jakub Rychlovsky	Toronto Marlies (TOR)	LW/RW	2	1	0	1	0	0	1	5	3	0	0	33.33%	0	24	12.41	0	0	0	0	0	0	0	0	0	100.00%	3	0.81	0	0	0	0	0
14	Vsevolod Komarov	Toronto Marlies (TOR)	D	5	0	1	1	-1	0	7	3	1	3	1	0%	4	79	15.90	0	0	0	0	0	0	0	0	0	0%	0	0.25	0	0	0	0	0
15	Mikko Kokkonen	Toronto Marlies (TOR)	D	5	0	1	1	2	0	3	6	5	1	4	0%	2	89	17.86	0	0	0	1	11	0	3	0	0	0%	0	0.22	0	0	0	0	0
16	Roni Hirvonen	Toronto Marlies (TOR)	C/LW/RW	5	0	0	0	-1	2	2	6	4	3	3	0%	1	98	19.77	0	0	0	0	11	0	2	0	0	28.57%	7	0	0	0	0	0	0
17	Robert Mastrosimone	Toronto Marlies (TOR)	C/LW/RW	2	0	0	0	-2	0	1	1	1	1	1	0%	0	29	14.68	0	0	0	0	0	0	0	0	0	25.00%	4	0	0	0	0	0	0
18	Nikita Grebyonkin	Toronto Marlies (TOR)	LW/RW	3	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.56	0	0	0	0	1	0	0	0	0	0%	0	0	0	0	0	0	0
19	Tommy Miller	Toronto Marlies (TOR)	D	3	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.19	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
20	Ryan Tverberg	Toronto Marlies (TOR)	C/LW/RW	5	0	0	0	0	0	1	1	6	1	6	0%	0	71	14.36	0	0	0	0	0	0	0	0	0	0%	2	0	0	0	0	0	0
Team Total or Average				87	15	26	41	5	26	91	108	150	38	107	10.00%	18	1491	17.14	4	5	9	28	137	1	65	3	1	54.77%	398	0.55	2	3	2	5	2

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	PCT	GAA	MP	SO	GA	SA	A	PS %	PSA	ST	BG	S1
1	Connor Hughes	Toronto Marlies (TOR)	4	2	1	0.821	4.65	155	1	12	67	2	0	0	4	0	1
2	Dylan Garand	Toronto Marlies (TOR)	3	2	0	1.000	0	149	1	0	62	0	0.667	3	1	4	1
Team Total or Average			7	4	1	0.907	2.37	304	2	12	129	2		3	5	4	2

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	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 Average	Salary Ave 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	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Alex Steeves	Toronto Marlies (TOR)	C/LW/RW	26	12.10.1999	No	89 Kg	183 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cade Webber	Toronto Marlies (TOR)	D	24	05.01.2001	Yes	96 Kg	201 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	900,000$	803,226$	900,000$	803,226$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Connor Hughes	Toronto Marlies (TOR)	G	29	10.09.1996	No	102 Kg	193 CM	No	No	Assign Manually		No	No	2	01.09.2024	False	False	Pro & Farm	1,495,000$	1,334,247$	1,495,000$	1,334,247$	0$	0$	No	1,495,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dalibor Dvorsky	Toronto Marlies (TOR)	C/LW/RW	20	15.06.2005	Yes	93 Kg	185 CM	No	No	Assign Manually		No	No	3	07.07.2025	False	False	Pro & Farm	1,400,000$	1,249,462$	1,400,000$	1,249,462$	0$	0$	No	1,400,000$	1,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Danil Aimurzin	Toronto Marlies (TOR)	C	23	17.04.2002	Yes	81 Kg	183 CM	No	No	Assign Manually		No	No	2	01.09.2024	False	False	Pro & Farm	995,000$	888,011$	995,000$	888,011$	0$	0$	No	995,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
David Tomasek	Toronto Marlies (TOR)	C/LW/RW	29	10.02.1996	No	85 Kg	188 CM	No	No	Assign Manually		No	No	3	18.07.2025	False	False	Pro & Farm	910,000$	812,151$	910,000$	812,151$	0$	0$	No	910,000$	910,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Dylan Garand	Toronto Marlies (TOR)	G	23	07.06.2002	Yes	78 Kg	183 CM	No	No	Trade	05.08.2025	No	No	1	06.07.2025	False	False	Pro & Farm	840,000$	749,677$	840,000$	749,677$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Fraser Minten	Toronto Marlies (TOR)	C/LW/RW	21	05.07.2004	Yes	87 Kg	188 CM	No	No	Assign Manually		No	No	2	05.06.2024	False	False	Pro & Farm	1,100,000$	981,720$	1,100,000$	981,720$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jacob Quillan	Toronto Marlies (TOR)	C/LW/RW	23	02.02.2002	Yes	91 Kg	183 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jakub Rychlovsky	Toronto Marlies (TOR)	LW/RW	24	07.08.2001	Yes	82 Kg	178 CM	No	No	Assign Manually		No	No	2	01.09.2024	False	False	Pro & Farm	1,495,000$	1,334,247$	1,495,000$	1,334,247$	0$	0$	No	1,495,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Joe Miller	Toronto Marlies (TOR)	C	23	15.09.2002	Yes	75 Kg	178 CM	No	No	Assign Manually		No	No	2	05.06.2024	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
John Fusco	Toronto Marlies (TOR)	D	24	13.06.2001	Yes	86 Kg	178 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	775,000$	691,667$	775,000$	691,667$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Keith Petruzzelli	Toronto Marlies (TOR)	G	26	09.02.1999	No	84 Kg	196 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kieffer Bellows	Toronto Marlies (TOR)	LW/RW	27	10.06.1998	No	88 Kg	185 CM	No	No	Assign Manually		No	No	1	06.07.2025	False	False	Pro & Farm	1,100,000$	981,720$	1,100,000$	981,720$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Cavallin	Toronto Marlies (TOR)	G	24	29.04.2001	Yes	89 Kg	188 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Haymes	Toronto Marlies (TOR)	C/LW/RW	22	28.07.2003 14:07:02	Yes	87 Kg	185 CM	No	No	Assign Manually		No	No	1	20.02.2025	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matvei Petrov	Toronto Marlies (TOR)	LW/RW	22	12.03.2003	Yes	91 Kg	188 CM	No	No	Trade	11.07.2024	No	No	1	14.06.2024	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Maxim Motorygin	Toronto Marlies (TOR)	G	23	24.12.2002	Yes	77 Kg	185 CM	No	No	Assign Manually		No	No	1	18.07.2025	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mike Koster	Toronto Marlies (TOR)	D	24	13.04.2001	Yes	86 Kg	178 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	850,000$	758,602$	850,000$	758,602$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mikko Kokkonen	Toronto Marlies (TOR)	D	24	18.01.2001	Yes	91 Kg	183 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	975,000$	870,161$	975,000$	870,161$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nick Abruzzese	Toronto Marlies (TOR)	C/LW/RW	26	04.06.1999	No	83 Kg	180 CM	No	No	Assign Manually		No	No	1	06.07.2025	False	False	Pro & Farm	840,000$	749,677$	840,000$	749,677$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nikita Grebyonkin	Toronto Marlies (TOR)	LW/RW	22	02.05.2003	Yes	95 Kg	188 CM	No	No	Assign Manually		No	No	3	07.07.2025	False	False	Pro & Farm	850,000$	758,602$	850,000$	758,602$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Nikita Gusev	Toronto Marlies (TOR)	LW/RW	33	08.07.1992	No	74 Kg	175 CM	No	No	Assign Manually		No	No	2	01.09.2024	False	False	Pro & Farm	995,000$	888,011$	995,000$	888,011$	0$	0$	No	995,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Noah Chadwick	Toronto Marlies (TOR)	D	20	10.05.2005	Yes	94 Kg	193 CM	No	No	Assign Manually		No	No	2	05.06.2024	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Robert Mastrosimone	Toronto Marlies (TOR)	C/LW/RW	24	24.01.2001	Yes	77 Kg	178 CM	No	No	Assign Manually		No	No	1	06.07.2025	False	False	Pro & Farm	840,000$	749,677$	840,000$	749,677$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Roni Hirvonen	Toronto Marlies (TOR)	C/LW/RW	23	10.01.2002	Yes	81 Kg	178 CM	No	No	Assign Manually		No	No	2	06.07.2025	False	False	Pro & Farm	1,155,000$	1,030,806$	1,155,000$	1,030,806$	0$	0$	No	1,155,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Kirwan	Toronto Marlies (TOR)	LW/RW	23	27.02.2002	Yes	93 Kg	188 CM	No	No	Assign Manually		No	No	1	28.09.2025	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Tverberg	Toronto Marlies (TOR)	C/LW/RW	23	30.01.2002	Yes	85 Kg	180 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	775,000$	691,667$	775,000$	691,667$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Semyon Kizimov	Toronto Marlies (TOR)	LW/RW	25	19.01.2000	No	84 Kg	183 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	775,000$	691,667$	775,000$	691,667$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Stephane Charlin	Toronto Marlies (TOR)	G	25	30.08.2000 12:01:56	No	84 Kg	191 CM	No	No	Assign Manually		No	No	1	06.07.2025	False	False	Pro & Farm	813,750$	726,250$	813,750$	726,250$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Theo Rochette	Toronto Marlies (TOR)	C	23	20.02.2002	Yes	78 Kg	180 CM	No	No	Assign Manually		No	No	2	01.09.2024	False	False	Pro & Farm	1,495,000$	1,334,247$	1,495,000$	1,334,247$	0$	0$	No	1,495,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tommy Miller	Toronto Marlies (TOR)	D	26	06.03.1999	No	88 Kg	188 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tony DeAngelo	Toronto Marlies (TOR)	D	30	24.10.1995	No	82 Kg	180 CM	No	No	Assign Manually	29.09.2024	No	No	3	17.08.2025	False	False	Pro & Farm	2,500,000$	2,231,183$	2,500,000$	2,231,183$	0$	0$	No	2,500,000$	2,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Topi Niemela	Toronto Marlies (TOR)	D	23	25.03.2002	Yes	82 Kg	183 CM	No	No	Assign Manually		No	No	2	06.07.2025	False	False	Pro & Farm	1,023,750$	913,669$	1,023,750$	913,669$	0$	0$	No	1,023,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tristan Lennox	Toronto Marlies (TOR)	G	23	21.10.2002	Yes	89 Kg	193 CM	No	No	Assign Manually		No	No	2	07.07.2025	False	False	Pro & Farm	975,000$	870,161$	975,000$	870,161$	0$	0$	No	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ty Voit	Toronto Marlies (TOR)	C/LW/RW	22	10.06.2003	Yes	71 Kg	178 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	850,000$	758,602$	850,000$	758,602$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Veeti Miettinen	Toronto Marlies (TOR)	LW/RW	24	20.09.2001	Yes	78 Kg	175 CM	No	No	Assign Manually		No	No	1	05.06.2024	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Vladimir Alistrov	Toronto Marlies (TOR)	LW/RW	24	12.02.2001	Yes	88 Kg	188 CM	No	No	Assign Manually		No	No	2	01.09.2024	False	False	Pro & Farm	995,000$	888,011$	995,000$	888,011$	0$	0$	No	995,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Vsevolod Komarov	Toronto Marlies (TOR)	D	21	11.01.2004	Yes	83 Kg	188 CM	No	No	Assign Manually		No	No	3	07.07.2025	False	False	Pro & Farm	850,000$	758,602$	850,000$	758,602$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Vyacheslav Peksa	Toronto Marlies (TOR)	G	23	27.08.2002	Yes	88 Kg	191 CM	No	No	Assign Manually		No	No	2	07.07.2025	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
William Villeneuve	Toronto Marlies (TOR)	D	23	20.03.2002	Yes	85 Kg	188 CM	No	No	Assign Manually		No	No	1	06.06.2024	False	False	Pro & Farm	900,000$	803,226$	900,000$	803,226$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Yegor Goryunov	Toronto Marlies (TOR)	LW/RW	21	03.03.2004 06:36:24	Yes	84 Kg	188 CM	No	No	Assign Manually		No	No	1	28.09.2025	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Yegor Vinogradov	Toronto Marlies (TOR)	C/LW/RW	22	17.04.2003 06:33:39	Yes	92 Kg	191 CM	No	No	Assign Manually		No	No	1	28.09.2025	False	False	Pro & Farm	800,000$	713,978$	800,000$	713,978$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Zayne Parekh	Toronto Marlies (TOR)	D	19	15.02.2006	Yes	84 Kg	183 CM	No	No	Draft		No	No	3	06.07.2025	False	False	Pro & Farm	1,400,000$	1,249,462$	775,000$	691,667$	0$	0$	No	1,400,000$	1,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
44	23.84	85 Kg	185 CM	1.57	974,261$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kieffer Bellows	Fraser Minten	Roni Hirvonen	33	1	2	2
2	Matvei Petrov	Alex Steeves	Robert Mastrosimone	30	1	2	2
3	Ryan Tverberg	Jacob Quillan	Jakub Rychlovsky	25	1	2	2
4	Luke Haymes	Dalibor Dvorsky	Nick Abruzzese	12	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Tony DeAngelo	33	1	2	2
2	William Villeneuve	Mikko Kokkonen	30	1	2	2
3	Cade Webber	Vsevolod Komarov	25	1	2	2
4	Zayne Parekh	William Villeneuve	12	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kieffer Bellows	Fraser Minten	Alex Steeves	50	1	2	2
2	Nick Abruzzese	Jacob Quillan	Roni Hirvonen	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Tony DeAngelo	50	1	2	2
2	William Villeneuve	Mikko Kokkonen	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Fraser Minten	Kieffer Bellows	50	1	2	2
2	Alex Steeves	Nick Abruzzese	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Tony DeAngelo	50	1	2	2
2	Cade Webber	William Villeneuve	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Fraser Minten	50	1	2	2	Zayne Parekh	Tony DeAngelo	50	1	2	2
2	Alex Steeves	50	1	2	2	Cade Webber	William Villeneuve	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Fraser Minten	Kieffer Bellows	50	1	2	2
2	Alex Steeves	Nick Abruzzese	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Tony DeAngelo	50	1	2	2
2	William Villeneuve	Mikko Kokkonen	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Kieffer Bellows	Fraser Minten	Alex Steeves	Zayne Parekh	Tony DeAngelo

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Kieffer Bellows	Fraser Minten	Alex Steeves	Zayne Parekh	Tony DeAngelo

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nick Abruzzese, Roni Hirvonen, Robert Mastrosimone	Nick Abruzzese, Roni Hirvonen	Nick Abruzzese

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Mikko Kokkonen, Tony DeAngelo, Vsevolod Komarov	Mikko Kokkonen	Mikko Kokkonen, Tony DeAngelo

Penalty Shots
Dalibor Dvorsky, Kieffer Bellows, Alex Steeves, Jacob Quillan, Nick Abruzzese

Goalie
#1 : Connor Hughes, #2 : Dylan Garand

Custom OT Lines Forwards
Fraser Minten, Kieffer Bellows, Alex Steeves, Jacob Quillan, Nick Abruzzese, Roni Hirvonen, Roni Hirvonen, Dalibor Dvorsky, Ryan Tverberg, Matvei Petrov, Luke Haymes

Custom OT Lines Defensemen
Tony DeAngelo, Zayne Parekh, William Villeneuve, Mikko Kokkonen, Cade Webber

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Belleville Senators	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	5	6	4	2	34	47	45	56	5	29	2	4	9	3	1	33.33%	2	0	100.00%	0	98	175	56.00%	83	145	57.24%	37	74	50.00%	132	94	107	35	65	33
2	Calgary Wranglers	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	5	6	4	2	38	47	45	56	5	25	5	6	25	4	0	0.00%	3	1	66.67%	0	98	175	56.00%	83	145	57.24%	37	74	50.00%	132	94	107	35	65	33
3	Cleveland Monsters	1	1	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	1	2	3	0	1	5	6	4	2	21	47	45	56	5	20	5	4	8	2	0	0.00%	2	0	100.00%	0	98	175	56.00%	83	145	57.24%	37	74	50.00%	132	94	107	35	65	33
4	Laval Rocket	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	1	5	6	4	2	33	47	45	56	5	27	3	6	20	4	2	50.00%	2	0	100.00%	0	98	175	56.00%	83	145	57.24%	37	74	50.00%	132	94	107	35	65	33
5	Rochester Americans	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	5	4	1	2	1.000	5	6	11	0	0	5	6	4	2	24	47	45	56	5	28	3	6	29	5	1	20.00%	1	1	0.00%	0	98	175	56.00%	83	145	57.24%	37	74	50.00%	132	94	107	35	65	33
	Total	5	3	1	0	0	0	1	0	16	12	4	4	3	1	0	0	0	0	0	11	8	3	1	0	0	0	0	0	1	0	5	4	1	8	0.800	16	26	42	0	2	5	6	4	2	150	47	45	56	5	129	18	26	91	18	4	22.22%	10	2	80.00%	0	98	175	56.00%	83	145	57.24%	37	74	50.00%	132	94	107	35	65	33
	_Since Last GM Reset	5	3	1	0	0	0	1	0	16	12	4	4	3	1	0	0	0	0	0	11	8	3	1	0	0	0	0	0	1	0	5	4	1	8	0.800	16	26	42	0	2	5	6	4	2	150	47	45	56	5	129	18	26	91	18	4	22.22%	10	2	80.00%	0	98	175	56.00%	83	145	57.24%	37	74	50.00%	132	94	107	35	65	33
	_Vs Conference	5	3	1	0	0	0	1	0	16	12	4	4	3	1	0	0	0	0	0	11	8	3	1	0	0	0	0	0	1	0	5	4	1	8	0.800	16	26	42	0	2	5	6	4	2	150	47	45	56	5	129	18	26	91	18	4	22.22%	10	2	80.00%	0	98	175	56.00%	83	145	57.24%	37	74	50.00%	132	94	107	35	65	33
	_Vs Division	3	3	1	0	0	0	1	0	12	8	4	2	3	1	0	0	0	0	0	7	4	3	1	0	0	0	0	0	1	0	5	4	1	8	1.333	12	18	30	0	1	5	6	4	2	91	47	45	56	5	84	8	16	58	12	4	33.33%	5	1	80.00%	0	98	175	56.00%	83	145	57.24%	37	74	50.00%	132	94	107	35	65	33

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
5	8	N/A	16	26	42	150	129	18	26	91	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	1	0	0	1	0	16	12

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	11	8

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	0	0	0	1	0	5	4

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
18	4	22.22%	10	2	80.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
47	45	56	5	5	6	4	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
98	175	56.00%	83	145	57.24%	37	74	50.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
132	94	107	35	65	33

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
2	15	Laval Rocket	-	Toronto Marlies	-
3	22	Toronto Marlies	-	Rochester Americans	-
5	37	Toronto Marlies	-	Calgary Wranglers	-
8	54	Syracuse Crunch	-	Toronto Marlies	-
10	74	Toronto Marlies	-	Utica Comets	-
12	83	Toronto Marlies	-	Rochester Americans	-
13	96	Calgary Wranglers	-	Toronto Marlies	-
16	113	Syracuse Crunch	-	Toronto Marlies	-
18	131	Toronto Marlies	-	Cleveland Monsters	-
21	152	Rochester Americans	-	Toronto Marlies	-
23	165	Toronto Marlies	-	Ontario Reign	-
26	180	Coachella Valley Firebirds	-	Toronto Marlies	-
29	200	Toronto Marlies	-	Henderson Silver Knights	-
32	215	Belleville Senators	-	Toronto Marlies	-
34	234	Toronto Marlies	-	Laval Rocket	-
36	242	Cleveland Monsters	-	Toronto Marlies	-
38	265	Toronto Marlies	-	San Diego Gulls	-
39	273	Laval Rocket	-	Toronto Marlies	-
42	296	Toronto Marlies	-	Lehigh Valley Phantoms	-
43	307	Tucson Roadrunners	-	Toronto Marlies	-
46	321	Toronto Marlies	-	Utica Comets	-
49	340	Calgary Wranglers	-	Toronto Marlies	-
51	360	Ontario Reign	-	Toronto Marlies	-
54	377	Toronto Marlies	-	Belleville Senators	-
56	395	Belleville Senators	-	Toronto Marlies	-
58	408	Toronto Marlies	-	Calgary Wranglers	-
60	426	Toronto Marlies	-	Providence Bruins	-
62	437	Colorado Eagles	-	Toronto Marlies	-
64	454	Toronto Marlies	-	Texas Stars	-
66	469	Lehigh Valley Phantoms	-	Toronto Marlies	-
69	493	Coachella Valley Firebirds	-	Toronto Marlies	-
71	505	Toronto Marlies	-	Rochester Americans	-
73	517	Toronto Marlies	-	Iowa Wild	-
74	530	Bridgeport Islanders	-	Toronto Marlies	-
77	552	Toronto Marlies	-	Manitoba Moose	-
79	565	Hartford Wolf Pack	-	Toronto Marlies	-
81	584	Toronto Marlies	-	Bakersfield Condors	-
83	595	Rockford IceHogs	-	Toronto Marlies	-
86	619	Chicago Wolves	-	Toronto Marlies	-
88	633	Toronto Marlies	-	Abbotsford Canucks	-
90	651	Manitoba Moose	-	Toronto Marlies	-
92	663	Toronto Marlies	-	Chicago Wolves	-
95	683	Syracuse Crunch	-	Toronto Marlies	-
98	711	Bakersfield Condors	-	Toronto Marlies	-
100	721	Toronto Marlies	-	Hershey Bears	-
102	732	Toronto Marlies	-	Belleville Senators	-
104	747	Wilkes-Barre/Scranton Penguins	-	Toronto Marlies	-
107	762	Toronto Marlies	-	Tucson Roadrunners	-
109	780	Hershey Bears	-	Toronto Marlies	-
111	796	Toronto Marlies	-	Ontario Reign	-
113	803	Toronto Marlies	-	Bridgeport Islanders	-
114	817	Grand Rapids Griffins	-	Toronto Marlies	-
117	834	Toronto Marlies	-	San Jose Barracuda	-
119	848	Providence Bruins	-	Toronto Marlies	-
122	875	Abbotsford Canucks	-	Toronto Marlies	-
124	891	Toronto Marlies	-	Laval Rocket	-
127	907	Toronto Marlies	-	Coachella Valley Firebirds	-
128	915	Rochester Americans	-	Toronto Marlies	-
131	940	Toronto Marlies	-	Syracuse Crunch	-
132	945	Cleveland Monsters	-	Toronto Marlies	-
136	971	Toronto Marlies	-	Hartford Wolf Pack	-
137	978	Iowa Wild	-	Toronto Marlies	-
140	1002	Toronto Marlies	-	Charlotte Checkers	-
141	1009	Texas Stars	-	Toronto Marlies	-
144	1039	Charlotte Checkers	-	Toronto Marlies	-
146	1051	Toronto Marlies	-	Milwaukee Admirals	-
148	1070	Springfield Thunderbirds	-	Toronto Marlies	-
150	1086	Toronto Marlies	-	Grand Rapids Griffins	-
152	1098	Toronto Marlies	-	Wilkes-Barre/Scranton Penguins	-
153	1107	Henderson Silver Knights	-	Toronto Marlies	-
156	1132	Utica Comets	-	Toronto Marlies	-
158	1144	Toronto Marlies	-	Syracuse Crunch	-
161	1162	Milwaukee Admirals	-	Toronto Marlies	-
164	1185	Toronto Marlies	-	Springfield Thunderbirds	-
165	1194	Milwaukee Admirals	-	Toronto Marlies	-
168	1220	San Jose Barracuda	-	Toronto Marlies	-
170	1229	Toronto Marlies	-	Rockford IceHogs	-
172	1242	Toronto Marlies	-	Henderson Silver Knights	-
174	1257	San Diego Gulls	-	Toronto Marlies	-
175	1260	Toronto Marlies	-	Colorado Eagles	-
182	1295	Utica Comets	-	Toronto Marlies	-
183	1305	Toronto Marlies	-	Cleveland Monsters	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
37	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	4,286,750$	4,224,250$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	166	28,423$	4,718,218$

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: 4 \| L: 1 \| OTL: 0 \| P: 8 GF: 16 \| GA: 12 \| PP%: 22.22% \| PK%: 80.00% GM : Flavio \| Morale : 44 \| Team Overall : 58 Next Games #15 vs Laval Rocket