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

Game Center
	Toronto Marlies 1-0-0, 2pts	5	FINAL	3	Utica Comets 0-1-0, 0pts

Team Stats
W1	Streak	L1
0-0-0	Home Record	0-1-0
1-0-0	Home Record	0-0-0
1-0-0	Last 10 Games	0-1-0
5.00	Goals Per Game	3.00
3.00	Goals Against Per Game	5.00
20.00%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	80.00%

Toronto Marlies
1-0-0, 2pts

Day 3

Utica Comets
0-1-0, 0pts

Team Stats
W1	Streak	L1
0-0-0	Home Record	0-1-0
1-0-0	Away Record	0-0-0
1-0-0	Last 10 Games	0-1-0
5.00	Goals Per Game	3.00
3.00	Goals Against Per Game	3.00
20.00%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	80.00%

Utica Comets
0-1-0, 0pts

Day 5

Toronto Marlies
1-0-0, 2pts

Team Stats
L1	Streak	W1
0-1-0	Home Record	0-0-0
0-0-0	Away Record	1-0-0
0-1-0	Last 10 Games	1-0-0
3.00	Goals Per Game	5.00
5.00	Goals Against Per Game	5.00
0.00%	Power Play Percentage	20.00%
80.00%	Penalty Kill Percentage	100.00%

Utica Comets
0-1-0, 0pts

Day 7

Toronto Marlies
1-0-0, 2pts

Team Stats
L1	Streak	W1
0-1-0	Home Record	0-0-0
0-0-0	Away Record	1-0-0
0-1-0	Last 10 Games	1-0-0
3.00	Goals Per Game	5.00
5.00	Goals Against Per Game	5.00
0.00%	Power Play Percentage	20.00%
80.00%	Penalty Kill Percentage	100.00%

Team Leaders
	Goals Joseph Blandisi 2	Assists Conor Timmins 3

	Points Conor Timmins 3	Plus/Minus Joseph Blandisi 2

	Wins Matt Murray 1	Save Percentage Matt Murray 0.938

Team Stats
Goals For 5 5.00 GFG	Shots For 37 37.00 Avg	Power Play Percentage 20.0% 1 GF	Offensive Zone Start 38.5%
Goals Against 3 3.00 GAA	Shots Against 48 48.00 Avg	Penalty Kill Percentage 100.0%% 0 GA	Defensive Zone Start 45.0%

Team Info
	General Manager	Flavio
	Coach	John Gruden
	Division	North Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	0
Roster Info
	Pro Team	34
	Farm Team	18
	Contract Limit	52 / 70
	Prospects	11

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 Average
1	Dylan Gambrell	0	X				100.00	77	40	86	66	73	63	83	58	71	69	60	77	54	61	58	0	48	67	0	28	1	775,000$
2	Kieffer Bellows	0		X	X		100.00	71	51	83	64	73	60	64	58	52	66	61	66	55	57	57	0	48	64	0	26	1	775,000$
3	Logan Shaw	0	X				100.00	55	57	65	63	69	66	64	63	55	61	61	59	58	70	62	0	48	62	0	32	1	775,000$
4	Alex Steeves	0	X				100.00	55	58	66	64	63	66	64	61	55	59	61	59	54	58	55	0	48	61	0	25	1	775,000$
5	Bobby McMann	0	X				100.00	58	56	69	62	70	63	60	58	54	58	60	62	54	62	58	0	48	61	0	28	1	775,000$
6	Joseph Blandisi	0	X				100.00	56	57	64	59	61	65	63	59	70	58	59	62	54	67	60	0	48	60	0	30	1	775,000$
7	Kyle Clifford	0		X	X		100.00	61	62	70	60	74	61	65	57	54	59	57	61	54	75	62	0	48	60	0	33	1	775,000$
8	Fraser Minten	0	X	X	X		100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	48	60	0	20	3	1,300,000$
9	Easton Cowan (R)	0	X	X	X		100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	48	60	0	19	1	775,000$
10	Braeden Kressler (R)	0	X				100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	48	60	0	21	1	775,000$
11	Matthew Knies	0		X	X		100.00	54	38	67	52	79	67	54	52	48	58	50	57	51	51	55	0	48	56	0	22	1	1,100,000$
12	Ryan Tverberg	0	X				100.00	51	51	65	51	59	52	52	51	52	51	51	57	51	51	49	0	48	52	0	22	1	775,000$
13	Jake Muzzin	0				X	100.00	70	40	76	66	90	77	72	57	40	64	55	79	54	77	65	0	45	68	0	35	1	775,000$
14	Simon Benoit	0				X	100.00	81	67	82	57	77	78	82	57	40	69	59	83	54	57	58	0	43	68	0	26	1	775,000$
15	Conor Timmins	0				X	100.00	66	42	83	66	76	70	61	59	40	73	56	75	54	56	57	0	48	66	0	26	1	775,000$
16	William Lagesson	0				X	100.00	59	62	72	60	71	66	65	58	40	61	57	69	54	62	58	0	49	62	0	28	1	775,000$
17	Maxime Lajoie	0				X	100.00	55	56	66	60	65	66	64	60	40	60	57	61	54	62	57	0	48	60	0	27	1	775,000$
18	Noah Chadwick (R)	0				X	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	48	60	0	19	1	775,000$
Scratches
1	Josiah Slavin	0	X	X	X		100.00	54	56	67	57	64	66	64	57	55	56	58	59	54	60	56	0	30	59	0	26	1	775,000$
2	Max Ellis	0		X	X		100.00	55	55	67	57	56	60	60	56	55	55	57	61	54	56	54	0	30	57	0	24	1	775,000$
3	Zach Solow	0		X	X		100.00	56	54	66	55	57	58	58	55	55	54	55	60	54	60	56	0	30	56	0	26	1	775,000$
4	Dmitri Ovchinnikov	0	X	X	X		100.00	54	54	68	54	56	55	54	54	55	54	54	61	54	53	52	0	30	55	0	22	1	775,000$
5	David Farrance	0				X	100.00	55	54	67	58	62	63	61	57	40	57	55	60	55	58	55	0	30	58	0	25	1	775,000$
6	William Villeneuve	0				X	100.00	55	54	62	56	60	61	60	57	44	57	55	60	54	54	53	0	30	57	0	22	1	775,000$
7	Matteo Pietroniro	0				X	100.00	56	55	65	55	62	61	60	54	40	54	54	60	54	60	56	0	30	57	0	26	1	775,000$
8	Mikko Kokkonen	0				X	100.00	55	54	62	55	62	59	58	55	44	55	54	58	54	55	53	0	30	56	0	23	1	775,000$
9	Marshall Rifai	0				X	100.00	54	52	57	55	60	64	63	54	38	53	53	58	51	58	53	0	30	56	0	26	1	775,000$
10	Tommy Miller	0				X	100.00	51	51	65	53	61	59	57	52	38	52	51	58	51	56	52	0	30	54	0	25	1	775,000$
11	Topi Niemela	0				X	100.00	51	51	65	52	54	52	52	51	38	51	51	57	51	51	49	0	30	53	0	22	1	775,000$

	TEAM AVERAGE						100.00	59	54	68	59	65	63	62	57	50	59	57	63	55	60	57	0	41	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 Average
1	Matt Murray	0	100.00	76	70	71	89	79	73	81	70	82	72	83	68	68	0	52	76	0	30	2	775,000$
2	Keith Petruzzelli	0	100.00	67	66	67	86	66	65	67	66	65	67	66	63	69	0	52	67	0	25	1	775,000$
Scratches
1	Joseph Woll	0	100.00	64	59	59	72	71	57	71	62	65	57	58	59	55	0	38	64	0	26	1	1,000,000$
2	Artur Akhtyamov (R)	0	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	0	38	60	0	23	1	775,000$
3	Dennis Hildeby	0	100.00	51	51	51	73	61	51	62	51	55	52	62	51	48	0	38	55	0	23	1	775,000$

	TEAM AVERAGE		100.00	64	61	62	76	67	61	68	62	65	62	66	60	60	0	44	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Gruden	68	75	64	68	77	72	73	USA	52	7	500,000$

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	PKM	GW	FO%	FOT	P/20	FL	S1	S2	S3
1	Conor Timmins	Toronto Marlies (TOR)	D	1	0	3	3	1	2	0	4	3	1	0	1	0%	2	22	22.00	0	1	1	1	4	2	0	0%	0	2.73	0	0	1	0
2	Joseph Blandisi	Toronto Marlies (TOR)	C	1	2	0	2	2	0	0	1	2	3	0	0	66.67%	0	8	8.43	0	0	0	0	0	0	1	72.73%	11	4.74	0	1	0	0
3	William Lagesson	Toronto Marlies (TOR)	D	1	1	1	2	1	0	0	0	1	2	1	0	50.00%	0	22	22.92	1	0	1	2	4	4	0	0%	0	1.75	0	0	0	1
4	Alex Steeves	Toronto Marlies (TOR)	C	1	1	0	1	0	0	0	2	3	3	2	0	33.33%	0	19	19.17	0	0	0	1	5	4	0	44.83%	29	1.04	0	0	0	0
5	Bobby McMann	Toronto Marlies (TOR)	C	1	1	0	1	0	0	0	0	0	2	0	0	50.00%	0	12	12.45	0	0	0	0	0	0	0	100.00%	1	1.61	0	0	0	0
6	Jake Muzzin	Toronto Marlies (TOR)	D	1	0	1	1	1	0	0	3	1	1	0	0	0%	1	17	17.30	0	0	0	0	0	1	0	0%	0	1.16	0	0	0	0
7	Kieffer Bellows	Toronto Marlies (TOR)	LW/RW	1	0	1	1	0	0	0	0	0	1	0	4	0%	0	21	21.65	0	0	0	1	5	4	0	0%	0	0.92	0	0	0	0
8	Logan Shaw	Toronto Marlies (TOR)	C	1	0	1	1	-1	0	0	5	3	7	1	2	0%	2	20	20.60	0	1	1	3	3	4	0	27.59%	29	0.97	0	0	0	0
9	Fraser Minten	Toronto Marlies (TOR)	C/LW/RW	1	0	1	1	0	2	0	0	1	0	0	0	0%	0	9	9.25	0	0	0	0	0	0	0	0%	1	2.16	0	0	0	0
10	Matthew Knies	Toronto Marlies (TOR)	LW/RW	1	0	1	1	2	0	0	2	1	1	0	0	0%	0	8	8.43	0	0	0	0	0	0	0	0%	1	2.37	0	0	0	0
11	Dylan Gambrell	Toronto Marlies (TOR)	C	1	0	0	0	0	0	0	1	4	4	1	0	0%	1	21	21.65	0	0	0	0	5	4	0	50.00%	32	0	0	0	0	0
12	Kyle Clifford	Toronto Marlies (TOR)	LW/RW	1	0	0	0	-1	0	0	2	0	2	0	2	0%	0	15	15.95	0	0	0	1	3	0	0	0%	0	0	0	0	0	0
13	Maxime Lajoie	Toronto Marlies (TOR)	D	1	0	0	0	-1	2	0	0	0	1	0	3	0%	0	21	21.18	0	0	0	0	4	3	0	0%	0	0	0	0	0	0
14	Simon Benoit	Toronto Marlies (TOR)	D	1	0	0	0	1	5	5	2	2	0	0	0	0%	0	13	13.68	0	0	0	0	0	0	0	0%	0	0	1	0	0	0
15	Ryan Tverberg	Toronto Marlies (TOR)	C	1	0	0	0	2	0	0	0	0	0	0	0	0%	0	8	8.43	0	0	0	0	0	0	0	0%	0	0	0	0	0	0
16	Easton Cowan	Toronto Marlies (TOR)	C/LW/RW	1	0	0	0	0	0	0	2	0	1	0	0	0%	0	9	9.27	0	0	0	0	0	0	0	100.00%	2	0	0	0	0	0
17	Braeden Kressler	Toronto Marlies (TOR)	C	1	0	0	0	-1	4	0	4	0	6	2	1	0%	1	15	15.87	0	0	0	3	3	0	0	0%	3	0	0	0	0	0
18	Noah Chadwick	Toronto Marlies (TOR)	D	1	0	0	0	-1	0	0	1	0	2	1	3	0%	3	22	22.87	0	0	0	2	4	5	0	0%	0	0	0	0	0	0
Team Total or Average				18	5	9	14	5	15	5	29	21	37	8	16	13.51%	10	291	16.17	1	2	3	14	45	35	1	44.04%	109	0.96	1	1	1	1

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	Matt Murray	Toronto Marlies (TOR)	1	1	0	0	0.938	3.00	60	0	0	3	48	0	0	0	0	0	1	0	0	0	0
Team Total or Average			1	1	0	0	0.938	3.00	60	0	0	3	48	0	0	0		0	1	0	0	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	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	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	25	10.12.1999	No	89 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Artur Akhtyamov	Toronto Marlies (TOR)	G	23	31.10.2001	Yes	76 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Bobby McMann	Toronto Marlies (TOR)	C	28	15.06.1996	No	95 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Braeden Kressler	Toronto Marlies (TOR)	C	21	05.01.2003	Yes	79 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Conor Timmins	Toronto Marlies (TOR)	D	26	18.09.1998	No	92 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
David Farrance	Toronto Marlies (TOR)	D	25	23.06.1999	No	86 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dennis Hildeby	Toronto Marlies (TOR)	G	23	19.08.2001	No	106 Kg	198 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dmitri Ovchinnikov	Toronto Marlies (TOR)	C/LW/RW	22	19.08.2002	No	74 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dylan Gambrell	Toronto Marlies (TOR)	C	28	26.08.1996	No	84 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Easton Cowan	Toronto Marlies (TOR)	C/LW/RW	19	20.05.2005	Yes	84 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Fraser Minten	Toronto Marlies (TOR)	C/LW/RW	20	05.07.2004 06:31:35	No	87 Kg	188 CM	No	No	N/A	No	No	3	False	False	Pro & Farm	1,300,000$	1,207,143$	1,300,000$	1,207,143$	0$	0$	No	1,300,000$	1,300,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Jake Muzzin	Toronto Marlies (TOR)	D	35	21.02.1989	No	103 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joseph Blandisi	Toronto Marlies (TOR)	C	30	18.07.1994	No	83 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joseph Woll	Toronto Marlies (TOR)	G	26	12.07.1998	No	92 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	1,000,000$	928,571$	1,000,000$	928,571$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Josiah Slavin	Toronto Marlies (TOR)	C/LW/RW	26	31.12.1998	No	86 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Keith Petruzzelli	Toronto Marlies (TOR)	G	25	09.02.1999	No	84 Kg	196 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kieffer Bellows	Toronto Marlies (TOR)	LW/RW	26	10.06.1998	No	89 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kyle Clifford	Toronto Marlies (TOR)	LW/RW	33	13.01.1991	No	99 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Logan Shaw	Toronto Marlies (TOR)	C	32	05.10.1992	No	94 Kg	193 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Marshall Rifai	Toronto Marlies (TOR)	D	26	16.03.1998	No	86 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matt Murray	Toronto Marlies (TOR)	G	30	25.05.1994	No	92 Kg	196 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Matteo Pietroniro	Toronto Marlies (TOR)	D	26	20.10.1998	No	84 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matthew Knies	Toronto Marlies (TOR)	LW/RW	22	17.10.2002	No	95 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	1,100,000$	1,021,429$	1,100,000$	1,021,429$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Max Ellis	Toronto Marlies (TOR)	LW/RW	24	18.01.2000	No	78 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Maxime Lajoie	Toronto Marlies (TOR)	D	27	05.11.1997	No	89 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mikko Kokkonen	Toronto Marlies (TOR)	D	23	18.01.2001	No	91 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Noah Chadwick	Toronto Marlies (TOR)	D	19	10.05.2005	Yes	91 Kg	193 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ryan Tverberg	Toronto Marlies (TOR)	C	22	30.01.2002	No	86 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Simon Benoit	Toronto Marlies (TOR)	D	26	19.09.1998	No	92 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tommy Miller	Toronto Marlies (TOR)	D	25	06.03.1999	No	88 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Topi Niemela	Toronto Marlies (TOR)	D	22	25.03.2002	No	77 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
William Lagesson	Toronto Marlies (TOR)	D	28	22.02.1996	No	94 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
William Villeneuve	Toronto Marlies (TOR)	D	22	20.03.2002	No	83 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Zach Solow	Toronto Marlies (TOR)	LW/RW	26	06.11.1998	No	80 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	719,643$	775,000$	719,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
34	25.32	88 Kg	185 CM	1.09	806,618$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kieffer Bellows	Dylan Gambrell	Bobby McMann	33	1	2	2
2	Braeden Kressler	Logan Shaw	Kyle Clifford	30	1	2	2
3	Fraser Minten	Alex Steeves	Easton Cowan	25	1	2	2
4	Matthew Knies	Joseph Blandisi	Ryan Tverberg	12	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Conor Timmins	William Lagesson	33	1	2	2
2	Noah Chadwick	Maxime Lajoie	30	1	2	2
3	Jake Muzzin	Simon Benoit	25	1	2	2
4	Conor Timmins	William Lagesson	12	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kieffer Bellows	Dylan Gambrell	Alex Steeves	50	1	2	2
2	Braeden Kressler	Logan Shaw	Kyle Clifford	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Conor Timmins	William Lagesson	50	1	2	2
2	Noah Chadwick	Maxime Lajoie	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dylan Gambrell	Kieffer Bellows	50	1	2	2
2	Alex Steeves	Logan Shaw	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Conor Timmins	William Lagesson	50	1	2	2
2	Noah Chadwick	Maxime Lajoie	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Dylan Gambrell	50	1	2	2	Conor Timmins	William Lagesson	50	1	2	2
2	Kieffer Bellows	50	1	2	2	Noah Chadwick	Maxime Lajoie	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dylan Gambrell	Kieffer Bellows	50	1	2	2
2	Alex Steeves	Logan Shaw	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Conor Timmins	William Lagesson	50	1	2	2
2	Noah Chadwick	Maxime Lajoie	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Kieffer Bellows	Dylan Gambrell	Logan Shaw	Conor Timmins	William Lagesson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Kieffer Bellows	Dylan Gambrell	Logan Shaw	Conor Timmins	William Lagesson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Joseph Blandisi, Braeden Kressler, Alex Steeves	Joseph Blandisi, Braeden Kressler	Alex Steeves

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Conor Timmins, William Lagesson, Noah Chadwick	Conor Timmins	William Lagesson, Noah Chadwick

Penalty Shots
Dylan Gambrell, Kieffer Bellows, Bobby McMann, Logan Shaw, Alex Steeves

Goalie
#1 : Matt Murray, #2 : Keith Petruzzelli

Custom OT Lines Forwards
Dylan Gambrell, Kieffer Bellows, Fraser Minten, Logan Shaw, Alex Steeves, Bobby McMann, Bobby McMann, Easton Cowan, Kyle Clifford, Joseph Blandisi, Braeden Kressler

Custom OT Lines Defensemen
Conor Timmins, William Lagesson, Noah Chadwick, Maxime Lajoie, Simon Benoit

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	Utica Comets	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	3	1	1	0	37	9	16	12	0	48	10	15	29	5	1	20.00%	5	0	100.00%	0	17	42	40.48%	23	49	46.94%	8	18	44.44%	21	12	24	8	14	7
	Total	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	3	1	1	0	37	9	16	12	0	48	10	15	29	5	1	20.00%	5	0	100.00%	0	17	42	40.48%	23	49	46.94%	8	18	44.44%	21	12	24	8	14	7
	_Since Last GM Reset	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	3	1	1	0	37	9	16	12	0	48	10	15	29	5	1	20.00%	5	0	100.00%	0	17	42	40.48%	23	49	46.94%	8	18	44.44%	21	12	24	8	14	7
	_Vs Conference	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	3	1	1	0	37	9	16	12	0	48	10	15	29	5	1	20.00%	5	0	100.00%	0	17	42	40.48%	23	49	46.94%	8	18	44.44%	21	12	24	8	14	7

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
1	2	W1	5	9	14	37	48	10	15	29	0	0

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

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	5	3

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	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
5	1	20.00%	5	0	100.00%	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
9	16	12	0	3	1	1	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
17	42	40.48%	23	49	46.94%	8	18	44.44%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
21	12	24	8	14	7

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
1	2	Toronto Marlies	5	Utica Comets	3	W	BoxScore
3	10	Toronto Marlies	-	Utica Comets	-
5	18	Utica Comets	-	Toronto Marlies	-
7	26	Utica Comets	-	Toronto Marlies	-
9	34	Toronto Marlies	-	Utica Comets	-
11	42	Utica Comets	-	Toronto Marlies	-
13	50	Toronto Marlies	-	Utica Comets	-

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

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
7	0 - 0%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,742,500$	2,742,500$	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$	13	0$	0$

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: 1 \| W: 1 \| L: 0 GF: 5 \| GA: 3 \| PP%: 20.00% \| PK%: 100.00% GM : Flavio \| Morale : 55 \| Team Overall : 60 Next Games #10 vs Utica Comets