Game Center
	Calgary Wranglers 13-8-2, 28pts	1	FINAL	2	Toronto Marlies 16-3-3, 35pts

Team Stats
W1	Streak	W5
8-2-1	Home Record	10-0-1
5-6-1	Home Record	6-3-2
6-3-1	Last 10 Games	8-1-1
3.48	Goals Per Game	4.00
3.13	Goals Against Per Game	2.73
27.54%	Power Play Percentage	15.12%
83.78%	Penalty Kill Percentage	79.69%

Toronto Marlies
16-3-3, 35pts

6

FINAL

3

Laval Rocket
6-16-1, 13pts

Team Stats
W5	Streak	L4
10-0-1	Home Record	3-7-1
6-3-2	Home Record	3-9-0
8-1-1	Last 10 Games	3-7-0
4.00	Goals Per Game	2.13
2.73	Goals Against Per Game	3.91
15.12%	Power Play Percentage	11.76%
79.69%	Penalty Kill Percentage	78.89%

Laval Rocket
6-16-1, 13pts

Day 48

Toronto Marlies
16-3-3, 35pts

Team Stats
L4	Streak	W5
3-7-1	Home Record	10-0-1
3-9-0	Away Record	6-3-2
3-7-0	Last 10 Games	8-1-1
2.13	Goals Per Game	4.00
3.91	Goals Against Per Game	4.00
11.76%	Power Play Percentage	15.12%
78.89%	Penalty Kill Percentage	79.69%

Toronto Marlies
16-3-3, 35pts

Day 50

Abbotsford Canucks
15-5-2, 32pts

Team Stats
W5	Streak	W5
10-0-1	Home Record	8-3-0
6-3-2	Away Record	7-2-2
8-1-1	Last 10 Games	8-2-0
4.00	Goals Per Game	3.91
2.73	Goals Against Per Game	3.91
15.12%	Power Play Percentage	28.40%
79.69%	Penalty Kill Percentage	82.09%

Toronto Marlies
16-3-3, 35pts

Day 51

Springfield Thunderbirds
14-7-1, 29pts

Team Stats
W5	Streak	L1
10-0-1	Home Record	8-3-0
6-3-2	Away Record	6-4-1
8-1-1	Last 10 Games	6-3-1
4.00	Goals Per Game	3.32
2.73	Goals Against Per Game	3.32
15.12%	Power Play Percentage	16.90%
79.69%	Penalty Kill Percentage	80.56%

Team Leaders
	Goals Alex Steeves 13	Assists Dalibor Dvorsky 19

	Points Dalibor Dvorsky 29	Plus/Minus Dalibor Dvorsky 18

	Wins Dennis Hildeby 7	Save Percentage Artur Akhtyamov 0.918

Team Stats
Goals For 88 4.00 GFG	Shots For 714 32.45 Avg	Power Play Percentage 15.1% 13 GF	Offensive Zone Start 41.9%
Goals Against 60 2.73 GAA	Shots Against 528 24.00 Avg	Penalty Kill Percentage 79.7%% 13 GA	Defensive Zone Start 37.0%

Team Info
	General Manager	Flavio
	Coach	Ryan Huska
	Division	North Division
	Conference	Eastern Conference
	Captain	Alex Steeves
	Assistant #1	Nikita Grebyonkin
	Assistant #2	Zayne Parekh
Arena Info
	Capacity	3,000
	Attendance	2,334
	Season Tickets	0
Roster Info
	Pro Team	35
	Farm Team	21
	Contract Limit	56 / 70
	Prospects	23
Team History
	This Season	16-3-3 (35PTS)
	History	96-75-15 (0.516%)
	Playoff Appearances	3
	Playoff Record (W-L)	0-0
	Stanley Cup	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	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	Alex Steeves (C)		X	X		99.00	87	63	72	78	81	83	78	75	43	70	73	74	75	70	60	0	60	73	0	27	1	1,700,000$
2	Dalibor Dvorsky (R)	X		X		98.00	74	40	84	75	86	86	77	75	71	69	73	69	74	58	50	0	53	71	0	21	2	1,400,000$
3	Nikita Grebyonkin (R) (A)		X	X		100.00	80	63	69	74	87	82	75	70	45	70	65	68	70	58	50	0	58	69	0	23	2	850,000$
4	Matvei Gridin (R)		X	X		99.00	61	40	84	76	79	86	65	75	50	75	68	64	73	55	50	0	57	69	0	20	3	1,400,000$
5	Jacob Quillan (R)	X	X	X		99.00	76	40	84	75	83	81	67	68	67	63	63	70	69	58	50	0	57	68	0	24	3	1,000,000$
6	David Tomasek	X	X	X		100.00	76	40	84	75	83	81	67	68	67	63	63	70	69	60	60	0	45	68	0	30	2	910,000$
7	Jiri Kulich	X	X	X		99.00	59	40	76	76	82	89	64	69	66	63	65	65	70	60	50	0	57	67	0	22	1	1,400,000$
8	Roby Jarventie (R)		X	X		100.00	67	43	70	69	69	65	63	66	44	64	63	65	66	51	50	0	52	63	0	24	1	1,155,000$
9	Nick Abruzzese	X	X	X		99.00	58	40	74	72	58	69	67	65	44	65	58	66	65	55	50	0	57	63	0	27	1	882,000$
10	Ryan Tverberg (R)	X		X		99.00	64	43	68	72	62	66	64	65	43	63	59	68	65	52	50	0	57	63	0	24	2	813,750$
11	Luke Haymes (R)	X	X	X		100.00	63	42	73	66	66	64	62	65	61	61	60	57	64	50	50	0	57	61	0	23	2	840,000$
12	Felix Trudeau (R)		X	X		100.00	60	40	70	64	65	60	57	54	41	51	51	54	56	51	50	0	57	56	0	24	1	800,000$
13	Zayne Parekh (R) (A)				X	99.00	61	40	84	76	77	87	67	72	40	59	62	62	73	58	50	0	57	67	0	20	2	1,400,000$
14	Dylan Coghlan				X	97.00	63	42	71	72	65	70	68	69	40	58	58	71	69	58	50	0	57	65	0	28	3	950,000$
15	William Villeneuve (R)				X	100.00	61	47	63	71	63	66	64	65	40	58	46	69	63	52	50	0	40	62	0	24	2	945,000$
16	Noah Chadwick (R)				X	100.00	65	43	67	65	70	63	61	63	40	54	52	67	61	50	50	0	43	62	0	21	1	800,000$
17	Tommy Miller				X	100.00	62	42	71	65	64	69	67	60	40	46	45	67	59	55	50	0	57	61	0	27	1	840,000$
18	Vsevolod Komarov (R)				X	100.00	64	47	62	65	70	64	62	63	40	46	46	63	61	50	50	0	52	60	0	22	2	850,000$
Scratches
1	Joe Miller (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	0	20	55	0	24	1	800,000$
2	Danil Aimurzin (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	0	31	55	0	24	1	995,000$
3	Vladimir Alistrov		X	X		100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	55	55	0	20	55	0	25	1	995,000$
4	Ryan Kirwan (R)		X			100.00	63	40	70	58	69	61	58	54	41	51	51	55	54	52	50	0	20	55	0	24	1	840,000$
5	Yegor Vinogradov (R)	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	0	20	55	0	23	2	840,000$
6	Vitali Pinchuk (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	0	20	55	0	24	2	840,000$
7	Miroslav Holinka (R)	X	X	X		100.00	63	40	70	62	66	54	50	52	51	51	50	55	55	50	50	0	25	55	0	21	3	850,000$
8	Ethan Czata (R)	X	X	X		100.00	60	41	60	65	62	54	50	50	50	50	50	52	55	50	50	0	20	54	0	19	3	1,100,000$
9	Cade Webber				X	98.95	69	41	71	61	73	64	61	55	40	44	42	69	55	53	50	0	32	60	0	25	1	945,000$
10	Jack Anderson (R)				X	100.00	68	45	70	62	74	60	57	54	40	44	44	67	56	51	50	0	25	59	0	24	2	1,050,000$

	TEAM AVERAGE					99.53	64	46	69	67	69	68	62	62	49	58	57	63	63	55	52	0	43	62

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	Dennis Hildeby	96.00	80	74	73	96	77	79	75	80	81	77	78	58	51	0	42	72	0	25	2	1,400,000$
2	Artur Akhtyamov	100.00	75	65	70	61	69	70	73	69	71	71	59	52	50	0	62	64	0	25	2	945,000$
Scratches
1	Dylan Garand (R)	100.00	74	65	70	60	69	69	72	68	70	71	61	52	50	0	36	63	0	24	2	882,000$
2	Luke Cavallin	100.00	66	56	55	64	62	63	65	63	64	61	54	53	50	0	29	58	0	25	1	840,000$
3	Vyacheslav Peksa (R)	100.00	64	58	55	67	62	60	61	57	62	60	58	51	50	0	29	56	0	24	1	800,000$
4	Alexander Smolin (R)	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	0	29	52	0	23	3	850,000$
5	Stephane Charlin	100.00	55	55	55	55	55	55	55	55	40	55	55	55	55	0	29	50	0	26	1	813,750$

	TEAM AVERAGE	99.43	67	61	62	65	64	64	65	64	63	64	60	54	52	0	37	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ryan Huska	85	82	77	81	78	70	1	CAN	50	1	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Dalibor Dvorsky	Toronto Marlies (TOR)	C/RW	22	10	19	29	18	21	5	15	63	74	15	55	13.51%	5	458	20.84	1	4	5	8	71	0	1	1	2	46	1	0	59.06%	596	1	0	1.27	0	3	0	0	0	3	2	4
2	Matvei Gridin	Toronto Marlies (TOR)	LW/RW	22	10	19	29	16	0	0	2	31	79	23	62	12.66%	2	416	18.93	1	3	4	19	76	0	0	0	0	0	2	2	40.00%	30	0	1	1.39	2	2	0	0	0	3	3	0
3	Alex Steeves	Toronto Marlies (TOR)	LW/RW	22	13	15	28	16	15	5	69	39	79	28	80	16.46%	7	434	19.74	4	3	7	14	76	0	0	0	0	10	1	1	33.33%	18	0	0	1.29	0	3	1	0	0	5	1	4
4	Jiri Kulich	Toronto Marlies (TOR)	C/LW/RW	22	9	9	18	10	8	0	8	37	58	19	51	15.52%	3	422	19.19	2	1	3	14	77	0	0	0	0	48	3	0	58.82%	34	0	0	0.85	0	0	0	0	0	1	2	1
5	Jacob Quillan	Toronto Marlies (TOR)	C/LW/RW	22	7	10	17	9	2	0	24	51	71	16	38	9.86%	4	423	19.23	2	2	4	10	68	0	0	0	0	49	1	2	58.57%	490	0	0	0.80	0	0	0	0	0	1	3	0
6	Zayne Parekh	Toronto Marlies (TOR)	D	22	4	12	16	11	4	0	29	20	23	8	18	17.39%	18	529	24.09	0	2	2	10	73	1	0	1	1	48	1	0	0%	0	0	0	0.60	0	0	0	0	0	1	0	1
7	Nikita Grebyonkin	Toronto Marlies (TOR)	LW/RW	22	6	7	13	10	25	5	61	39	61	17	42	9.84%	1	424	19.28	1	1	2	6	69	0	0	0	1	46	0	0	45.65%	46	0	0	0.61	0	0	0	0	1	0	0	2
8	William Villeneuve	Toronto Marlies (TOR)	D	22	1	11	12	13	29	5	22	22	9	5	11	11.11%	20	386	17.56	0	1	1	2	5	0	0	0	0	34	0	0	0%	0	0	0	0.62	0	0	0	1	0	0	1	0
9	Nick Abruzzese	Toronto Marlies (TOR)	C/LW/RW	22	4	7	11	-2	2	0	6	23	44	13	38	9.09%	4	326	14.82	1	2	3	7	65	0	0	0	0	0	1	0	38.10%	21	0	0	0.67	0	0	0	0	0	0	1	0
10	Dylan Coghlan	Toronto Marlies (TOR)	D	22	3	7	10	5	22	0	40	16	30	15	22	10.00%	26	500	22.76	1	3	4	11	63	0	0	0	2	44	0	1	0%	0	0	0	0.40	0	0	0	0	0	0	2	0
11	David Tomasek	Toronto Marlies (TOR)	C/LW/RW	17	4	6	10	4	6	0	17	33	46	14	15	8.70%	2	206	12.17	0	0	0	1	4	0	0	0	0	1	2	0	64.15%	212	0	0	0.97	0	0	0	0	0	0	0	1
12	Luke Haymes	Toronto Marlies (TOR)	C/LW/RW	22	2	4	6	1	0	0	9	25	25	7	20	8.00%	4	203	9.25	0	0	0	0	3	1	0	1	1	7	0	0	54.55%	165	0	0	0.59	0	0	0	0	0	0	0	0
13	Roby Jarventie	Toronto Marlies (TOR)	LW/RW	23	1	5	6	-1	7	5	8	22	31	11	17	3.23%	2	148	6.47	0	0	0	1	3	0	1	1	0	0	1	0	30.77%	13	0	0	0.81	0	0	0	1	0	0	0	0
14	Ryan Tverberg	Toronto Marlies (TOR)	C/RW	22	3	3	6	-1	4	0	21	28	38	12	33	7.89%	2	323	14.68	0	1	1	8	63	0	0	0	0	0	0	0	50.00%	16	0	0	0.37	0	0	0	0	0	0	0	1
15	Felix Trudeau	Toronto Marlies (TOR)	LW/RW	22	4	2	6	0	0	0	10	7	14	3	12	28.57%	2	175	7.96	0	0	0	0	0	0	0	0	0	0	0	1	44.44%	9	0	0	0.69	0	0	0	0	0	0	0	0
16	Vsevolod Komarov	Toronto Marlies (TOR)	D	19	3	2	5	4	10	0	27	10	10	2	6	30.00%	11	303	15.99	0	0	0	0	1	0	0	0	0	20	0	0	0%	0	0	0	0.33	0	0	0	0	0	0	0	0
17	Tommy Miller	Toronto Marlies (TOR)	D	22	2	3	5	4	8	0	18	10	14	4	4	14.29%	15	337	15.32	0	0	0	0	0	0	0	0	0	11	1	0	0%	0	0	0	0.30	0	0	0	0	0	0	0	0
18	Noah Chadwick	Toronto Marlies (TOR)	D	16	0	5	5	13	31	5	20	10	6	4	4	0%	16	288	18.05	0	0	0	0	0	0	0	0	0	28	0	0	0%	0	0	0	0.35	0	0	0	0	1	0	0	0
19	Danil Aimurzin	Toronto Marlies (TOR)	C	7	0	2	2	0	2	0	5	5	1	1	6	0%	0	50	7.27	0	0	0	0	0	0	0	0	0	0	0	0	53.06%	49	0	0	0.79	0	0	0	0	0	0	0	0
20	Jack Anderson	Toronto Marlies (TOR)	D	6	0	1	1	3	0	0	11	1	0	0	0	0%	8	113	18.84	0	0	0	0	0	0	0	0	0	14	0	0	0%	0	0	0	0.18	0	0	0	0	0	0	0	0
21	Miroslav Holinka	Toronto Marlies (TOR)	C/LW/RW	5	0	1	1	-5	4	0	2	3	1	2	0	0%	0	57	11.48	0	0	0	0	0	0	0	0	0	0	0	0	42.86%	63	0	0	0.35	0	0	0	0	0	0	0	0
22	Cade Webber	Toronto Marlies (TOR)	D	3	0	0	0	3	0	0	5	1	2	0	1	0%	4	39	13.06	0	0	0	0	0	0	0	0	0	4	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				404	86	150	236	131	200	30	429	496	716	219	535	12.01%	156	6569	16.26	13	23	36	111	725	2	2	4	7	417	14	7	56.81%	1762	1	1	0.72	2	8	1	2	2	14	15	14

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	A	PS %	PSA	ST	BG	S2
1	Artur Akhtyamov	Toronto Marlies (TOR)	10	7	1	2	0.918	1.69	532	0	1	15	182	2	0	2	7	15	1
2	Dennis Hildeby	Toronto Marlies (TOR)	13	7	2	1	0.866	3.48	690	2	0	40	299	1	1.000	6	13	6	0
3	Dylan Garand	Toronto Marlies (TOR)	2	2	0	0	0.915	2.00	120	0	0	4	47	0	0	0	2	1	0
Team Total or Average			25	16	3	3	0.888	2.64	1342	2	1	59	528	3		8	22	22	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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade			Force Waivers	Waiver Possible	Contract		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	2	3	4	5	6	7	8	9	10	Link
Alex Steeves (1 Way Contract)	Toronto Marlies (TOR)	LW/RW	27	12.10.1999	No	90 Kg	183 CM	No	No	Assign Manually		No	No	1	19.07.2026	Pro & Farm	1,700,000$	1,288,421$	1,700,000$	1,288,421$	1,700,000$	1,288,421$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Alexander Smolin	Toronto Marlies (TOR)	G	23	11.10.2003 14:40:15	Yes	76 Kg	188 CM	No	No	Assign Manually		No	No	3	20.08.2026	Pro & Farm	850,000$	639,785$	850,000$	639,785$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Artur Akhtyamov	Toronto Marlies (TOR)	G	25	31.10.2001	No	80 Kg	188 CM	No	No	Assign Manually		No	No	2	19.07.2026	Pro & Farm	945,000$	711,290$	945,000$	711,290$	0$	0$	No	945,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Cade Webber	Toronto Marlies (TOR)	D	25	05.01.2001	No	100 Kg	198 CM	No	No	Assign Manually		No	No	1	19.07.2026	Pro & Farm	945,000$	711,290$	945,000$	711,290$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dalibor Dvorsky	Toronto Marlies (TOR)	C/RW	21	15.06.2005	Yes	94 Kg	185 CM	No	No	Assign Manually		No	No	2	07.07.2025	Pro & Farm	1,400,000$	1,053,763$	1,400,000$	1,053,763$	0$	0$	No	1,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Danil Aimurzin	Toronto Marlies (TOR)	C	24	17.04.2002	Yes	81 Kg	183 CM	No	No	Assign Manually		No	No	1	01.09.2024	Pro & Farm	995,000$	748,925$	995,000$	748,925$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
David Tomasek	Toronto Marlies (TOR)	C/LW/RW	30	10.02.1996	No	95 Kg	188 CM	No	No	Assign Manually		No	No	2	18.07.2025	Pro & Farm	910,000$	684,946$	910,000$	684,946$	0$	0$	No	910,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dennis Hildeby	Toronto Marlies (TOR)	G	25	19.08.2001	No	101 Kg	201 CM	No	No	Assign Manually		No	No	2	19.07.2026	Pro & Farm	1,400,000$	1,053,763$	1,400,000$	1,053,763$	0$	0$	No	1,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dylan Coghlan	Toronto Marlies (TOR)	D	28	19.02.1998	No	94 Kg	188 CM	No	No	Assign Manually		No	No	3	19.08.2026	Pro & Farm	950,000$	715,054$	950,000$	715,054$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Dylan Garand	Toronto Marlies (TOR)	G	24	07.06.2002	Yes	78 Kg	183 CM	No	No	Assign Manually	05.08.2025	No	No	2	19.07.2026	Pro & Farm	882,000$	663,871$	882,000$	663,871$	0$	0$	No	882,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ethan Czata	Toronto Marlies (TOR)	C/LW/RW	19	29.05.2007	Yes	81 Kg	188 CM	No	No	Assign Manually		No	No	3	14.06.2026	Pro & Farm	1,100,000$	827,957$	1,100,000$	827,957$	0$	0$	No	1,100,000$	1,100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Felix Trudeau	Toronto Marlies (TOR)	LW/RW	24	24.09.2002	Yes	86 Kg	188 CM	No	No	Assign Manually		No	No	1	18.08.2026	Pro & Farm	800,000$	602,151$	800,000$	602,151$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Anderson	Toronto Marlies (TOR)	D	24	14.11.2002	Yes	101 Kg	198 CM	No	No	Assign Manually		No	No	2	21.08.2026	Pro & Farm	1,050,000$	790,323$	1,050,000$	790,323$	0$	0$	No	1,050,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jacob Quillan	Toronto Marlies (TOR)	C/LW/RW	24	02.02.2002	Yes	93 Kg	183 CM	No	No	Assign Manually		No	No	3	19.07.2026	Pro & Farm	1,000,000$	752,688$	1,000,000$	752,688$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jiri Kulich	Toronto Marlies (TOR)	C/LW/RW	22	14.04.2004	No	88 Kg	185 CM	No	No	Trade	10.06.2024	No	No	1	05.06.2024	Pro & Farm	1,400,000$	1,053,763$	1,400,000$	1,053,763$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Joe Miller	Toronto Marlies (TOR)	C	24	15.09.2002	Yes	75 Kg	178 CM	No	No	Assign Manually		No	No	1	05.06.2024	Pro & Farm	800,000$	602,151$	800,000$	602,151$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Cavallin	Toronto Marlies (TOR)	G	25	29.04.2001	No	87 Kg	185 CM	No	No	Assign Manually		No	No	1	19.07.2026	Pro & Farm	840,000$	632,258$	840,000$	632,258$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Haymes	Toronto Marlies (TOR)	C/LW/RW	23	28.07.2003 14:07:02	Yes	92 Kg	185 CM	No	No	Assign Manually		No	No	2	19.07.2026	Pro & Farm	840,000$	632,258$	840,000$	632,258$	0$	0$	No	840,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Matvei Gridin	Toronto Marlies (TOR)	LW/RW	20	01.03.2006	Yes	86 Kg	185 CM	No	No	Assign Manually		No	No	3	14.06.2026	Pro & Farm	1,400,000$	1,053,763$	1,400,000$	1,053,763$	0$	0$	No	1,400,000$	1,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Miroslav Holinka	Toronto Marlies (TOR)	C/LW/RW	21	10.11.2005	Yes	90 Kg	188 CM	No	No	Assign Manually		No	No	3	14.06.2026	Pro & Farm	850,000$	639,785$	850,000$	639,785$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Nick Abruzzese	Toronto Marlies (TOR)	C/LW/RW	27	04.06.1999	No	81 Kg	178 CM	No	No	Assign Manually		No	No	1	19.07.2026	Pro & Farm	882,000$	663,871$	882,000$	663,871$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nikita Grebyonkin	Toronto Marlies (TOR)	LW/RW	23	02.05.2003	Yes	95 Kg	188 CM	No	No	Assign Manually		No	No	2	07.07.2025	Pro & Farm	850,000$	639,785$	850,000$	639,785$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Noah Chadwick	Toronto Marlies (TOR)	D	21	10.05.2005	Yes	94 Kg	193 CM	No	No	Assign Manually		No	No	1	05.06.2024	Pro & Farm	800,000$	602,151$	800,000$	602,151$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Roby Jarventie	Toronto Marlies (TOR)	LW/RW	24	08.08.2002	Yes	95 Kg	191 CM	No	No	Trade	15.10.2026	No	No	1	06.07.2025	Pro & Farm	1,155,000$	869,355$	1,155,000$	869,355$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Kirwan	Toronto Marlies (TOR)	LW	24	27.02.2002	Yes	98 Kg	188 CM	No	No	Assign Manually		No	No	1	19.07.2026	Pro & Farm	840,000$	632,258$	840,000$	632,258$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Tverberg	Toronto Marlies (TOR)	C/RW	24	30.01.2002	Yes	85 Kg	180 CM	No	No	Assign Manually		No	No	2	19.07.2026	Pro & Farm	813,750$	612,500$	813,750$	612,500$	0$	0$	No	813,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Stephane Charlin	Toronto Marlies (TOR)	G	26	30.08.2000 12:01:56	No	84 Kg	191 CM	No	No	Assign Manually		No	No	1	10.07.2026	Pro & Farm	813,750$	612,500$	813,750$	612,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tommy Miller	Toronto Marlies (TOR)	D	27	06.03.1999	No	88 Kg	188 CM	No	No	Assign Manually		No	No	1	19.07.2026	Pro & Farm	840,000$	632,258$	840,000$	632,258$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Vitali Pinchuk	Toronto Marlies (TOR)	C	24	11.01.2002 07:27:37	Yes	92 Kg	191 CM	No	No	Assign Manually		No	No	2	19.07.2026	Pro & Farm	840,000$	632,258$	840,000$	632,258$	0$	0$	No	840,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Vladimir Alistrov	Toronto Marlies (TOR)	LW/RW	25	12.02.2001	No	88 Kg	188 CM	No	No	Assign Manually		No	No	1	01.09.2024	Pro & Farm	995,000$	748,925$	995,000$	748,925$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Vsevolod Komarov	Toronto Marlies (TOR)	D	22	11.01.2004	Yes	83 Kg	188 CM	No	No	Assign Manually		No	No	2	07.07.2025	Pro & Farm	850,000$	639,785$	850,000$	639,785$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Vyacheslav Peksa	Toronto Marlies (TOR)	G	24	27.08.2002	Yes	88 Kg	191 CM	No	No	Assign Manually		No	No	1	07.07.2025	Pro & Farm	800,000$	602,151$	800,000$	602,151$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
William Villeneuve	Toronto Marlies (TOR)	D	24	20.03.2002	Yes	89 Kg	188 CM	No	No	Assign Manually		No	No	2	19.07.2026	Pro & Farm	945,000$	711,290$	945,000$	711,290$	0$	0$	No	945,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Yegor Vinogradov	Toronto Marlies (TOR)	C/LW/RW	23	17.04.2003 06:33:39	Yes	92 Kg	191 CM	No	No	Assign Manually		No	No	2	10.07.2026	Pro & Farm	840,000$	632,258$	840,000$	632,258$	0$	0$	No	840,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Zayne Parekh	Toronto Marlies (TOR)	D	20	15.02.2006	Yes	85 Kg	183 CM	No	No	Draft		No	No	2	06.07.2025	Pro & Farm	1,400,000$	1,053,763$	1,400,000$	1,053,763$	0$	0$	No	1,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
35	23.89	89 Kg	188 CM	1.74	992,043$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex Steeves	Dalibor Dvorsky	Matvei Gridin	30	0	1	4
2	Nikita Grebyonkin	Jacob Quillan	Jiri Kulich	27	0	1	4
3	Nick Abruzzese	David Tomasek	Ryan Tverberg	25	1	2	2
4	Roby Jarventie	Luke Haymes	Felix Trudeau	18	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Dylan Coghlan	40	1	2	2
2	Noah Chadwick	William Villeneuve	35	1	2	2
3	Vsevolod Komarov	Tommy Miller	25	1	2	2
4	Zayne Parekh	Dylan Coghlan	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex Steeves	Dalibor Dvorsky	Matvei Gridin	50	0	1	4
2	Nikita Grebyonkin	Jacob Quillan	Ryan Tverberg	50	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jiri Kulich	Zayne Parekh	50	0	1	4
2	Nick Abruzzese	Dylan Coghlan	50	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dalibor Dvorsky	Nikita Grebyonkin	50	1	3	1
2	Jacob Quillan	Jiri Kulich	50	1	3	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Dylan Coghlan	50	1	3	1
2	Noah Chadwick	William Villeneuve	50	1	3	1

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Dalibor Dvorsky	50	1	2	2	Zayne Parekh	Dylan Coghlan	50	1	2	2
2	Jacob Quillan	50	1	2	2	Noah Chadwick	William Villeneuve	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dalibor Dvorsky	Alex Steeves	50	1	2	2
2	Jacob Quillan	Matvei Gridin	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Dylan Coghlan	50	1	2	2
2	Noah Chadwick	William Villeneuve	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Matvei Gridin	Dalibor Dvorsky	Alex Steeves	Dylan Coghlan	Zayne Parekh

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Steeves	Dalibor Dvorsky	Nikita Grebyonkin	Dylan Coghlan	Zayne Parekh

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nikita Grebyonkin, Dalibor Dvorsky, Matvei Gridin	Nikita Grebyonkin, Matvei Gridin	Jiri Kulich

Extra Defensemen
Normal	PowerPlay	Penalty Kill
William Villeneuve, Zayne Parekh, Dylan Coghlan	William Villeneuve	Noah Chadwick, Dylan Coghlan

Penalty Shots
Alex Steeves, Dalibor Dvorsky, Matvei Gridin, Nikita Grebyonkin, Jiri Kulich

Goalie
#1 : Dennis Hildeby, #2 : Artur Akhtyamov

Custom OT Lines Forwards
Alex Steeves, Dalibor Dvorsky, Matvei Gridin, Nikita Grebyonkin, Luke Haymes, Jacob Quillan, Jacob Quillan, Jiri Kulich, Nick Abruzzese, Ryan Tverberg, David Tomasek

Custom OT Lines Defensemen
Zayne Parekh, Dylan Coghlan, Noah Chadwick, William Villeneuve, Vsevolod Komarov

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	2	1	0	0	0	0	1	0	8	5	3	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	12	20	0	0	30	25	29	4	57	231	212	258	21	44	14	16	35	9	1	11.11%	8	2	75.00%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
2	Calgary Wranglers	4	2	1	0	1	0	0	0	11	9	2	3	2	0	0	1	0	0	0	7	3	4	1	0	1	0	0	0	0	0	4	6	-2	6	0.750	11	19	30	0	1	30	25	29	4	146	231	212	258	21	90	20	20	71	13	0	0.00%	9	0	100.00%	1	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
3	Charlotte Checkers	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	30	25	29	4	30	231	212	258	21	30	2	10	24	2	0	0.00%	5	0	100.00%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
4	Cleveland Monsters	4	1	0	0	1	1	1	0	16	10	6	1	0	0	0	0	0	1	0	5	4	1	3	1	0	0	1	1	0	0	11	6	5	7	0.875	16	25	41	0	0	30	25	29	4	151	231	212	258	21	108	34	33	71	16	1	6.25%	9	3	66.67%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
5	Hershey Bears	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	30	25	29	4	39	231	212	258	21	15	4	4	17	5	1	20.00%	2	0	100.00%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
6	Iowa Wild	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	2	4	2	1.000	6	10	16	0	0	30	25	29	4	32	231	212	258	21	23	6	8	17	5	2	40.00%	4	0	100.00%	1	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
7	Laval Rocket	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	3	3	2	1.000	6	10	16	0	0	30	25	29	4	35	231	212	258	21	24	4	47	27	5	0	0.00%	4	1	75.00%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
8	Rochester Americans	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	9	15	24	0	0	30	25	29	4	68	231	212	258	21	44	9	12	56	10	4	40.00%	6	3	50.00%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
9	Syracuse Crunch	2	1	1	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	8	3	5	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	10	18	28	0	0	30	25	29	4	58	231	212	258	21	52	19	24	36	5	0	0.00%	6	1	83.33%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
10	Tucson Roadrunners	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	30	25	29	4	25	231	212	258	21	17	7	8	17	2	0	0.00%	2	1	50.00%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
11	Utica Comets	2	1	0	0	0	0	0	1	9	9	0	1	1	0	0	0	0	0	0	5	4	1	1	0	0	0	0	0	0	1	4	5	-1	3	0.750	9	18	27	0	0	30	25	29	4	48	231	212	258	21	58	29	14	38	8	2	25.00%	6	1	83.33%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
12	Wilkes-Barre/Scranton Penguins	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	7	11	0	0	30	25	29	4	25	231	212	258	21	23	8	6	20	6	2	33.33%	3	1	66.67%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
	Total	22	12	3	0	2	2	2	1	88	60	28	11	7	0	0	1	1	2	0	46	28	18	11	5	3	0	1	1	0	1	42	32	10	35	0.795	88	150	238	0	1	30	25	29	4	714	231	212	258	21	528	156	202	429	86	13	15.12%	64	13	79.69%	2	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
	_Since Last GM Reset	22	12	3	0	2	2	2	1	88	60	28	11	7	0	0	1	1	2	0	46	28	18	11	5	3	0	1	1	0	1	42	32	10	35	0.795	88	150	238	0	1	30	25	29	4	714	231	212	258	21	528	156	202	429	86	13	15.12%	64	13	79.69%	2	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
	_Vs Conference	20	10	3	0	2	2	2	1	79	57	22	10	6	0	0	1	1	2	0	43	27	16	10	4	3	0	1	1	0	1	36	30	6	31	0.775	79	135	214	0	1	30	25	29	4	657	231	212	258	21	488	143	186	395	79	11	13.92%	58	12	79.31%	1	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
	_Vs Division	8	9	2	0	2	1	2	1	34	23	11	3	5	0	0	1	0	2	0	17	10	7	5	4	2	0	1	1	0	1	17	13	4	28	1.750	34	56	90	0	0	30	25	29	4	248	231	212	258	21	194	48	109	178	31	5	16.13%	29	7	75.86%	0	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
22	35	W5	88	150	238	714	528	156	202	429	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	12	3	2	2	2	1	88	60

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	7	0	1	1	2	0	46	28

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	5	3	1	1	0	1	42	32

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	1	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
86	13	15.12%	64	13	79.69%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
231	212	258	21	30	25	29	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
429	726	59.09%	363	641	56.63%	209	367	56.95%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
561	399	492	164	289	145

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	OT	SO	Link
5	11	Cleveland Monsters	4	Toronto Marlies	5	BW	X	X	BoxScore
7	29	Toronto Marlies	2	Syracuse Crunch	3	AL			BoxScore
9	44	Utica Comets	4	Toronto Marlies	5	BW			BoxScore
12	65	Toronto Marlies	4	Belleville Senators	2	AW			BoxScore
13	78	Tucson Roadrunners	1	Toronto Marlies	3	BW			BoxScore
15	96	Toronto Marlies	4	Utica Comets	5	AL	X	X	BoxScore
17	110	Belleville Senators	3	Toronto Marlies	4	BW	X	X	BoxScore
18	127	Toronto Marlies	1	Charlotte Checkers	3	AL			BoxScore
20	136	Toronto Marlies	1	Cleveland Monsters	2	AL	X		BoxScore
22	154	Calgary Wranglers	2	Toronto Marlies	3	BW			BoxScore
23	168	Toronto Marlies	4	Rochester Americans	2	AW			BoxScore
25	188	Syracuse Crunch	3	Toronto Marlies	8	BW			BoxScore
27	202	Toronto Marlies	3	Cleveland Monsters	2	AW	X		BoxScore
29	217	Rochester Americans	4	Toronto Marlies	5	BW			BoxScore
31	238	Hershey Bears	1	Toronto Marlies	5	BW			BoxScore
33	253	Wilkes-Barre/Scranton Penguins	5	Toronto Marlies	4	BL	X		BoxScore
36	272	Toronto Marlies	4	Calgary Wranglers	6	AL			BoxScore
37	285	Toronto Marlies	7	Cleveland Monsters	2	AW			BoxScore
39	302	Toronto Marlies	6	Iowa Wild	2	AW			BoxScore
42	317	Calgary Wranglers	0	Toronto Marlies	2	BW			BoxScore
44	335	Calgary Wranglers	1	Toronto Marlies	2	BW	X		BoxScore
46	347	Toronto Marlies	6	Laval Rocket	3	AW			BoxScore
48	364	Laval Rocket	-	Toronto Marlies	-
50	381	Toronto Marlies	-	Abbotsford Canucks	-
51	394	Toronto Marlies	-	Springfield Thunderbirds	-
52	405	San Diego Gulls	-	Toronto Marlies	-
55	428	Laval Rocket	-	Toronto Marlies	-
57	441	Toronto Marlies	-	Utica Comets	-
59	459	Springfield Thunderbirds	-	Toronto Marlies	-
61	477	Toronto Marlies	-	Providence Bruins	-
63	494	Syracuse Crunch	-	Toronto Marlies	-
64	505	Toronto Marlies	-	Calgary Wranglers	-
66	523	Toronto Marlies	-	Rochester Americans	-
68	534	Wilkes-Barre/Scranton Penguins	-	Toronto Marlies	-
69	552	Toronto Marlies	-	Grand Rapids Griffins	-
71	563	Coachella Valley Firebirds	-	Toronto Marlies	-
73	588	Hamilton Hammers	-	Toronto Marlies	-
74	597	Toronto Marlies	-	Springfield Thunderbirds	-
77	618	Toronto Marlies	-	Milwaukee Admirals	-
78	628	Tucson Roadrunners	-	Toronto Marlies	-
79	643	Toronto Marlies	-	Hamilton Hammers	-
82	661	Texas Stars	-	Toronto Marlies	-
88	682	Charlotte Checkers	-	Toronto Marlies	-
90	703	Toronto Marlies	-	Chicago Wolves	-
91	714	Colorado Eagles	-	Toronto Marlies	-
93	730	Toronto Marlies	-	Calgary Wranglers	-
95	746	Lehigh Valley Phantoms	-	Toronto Marlies	-
97	766	Toronto Marlies	-	Laval Rocket	-
99	780	Lehigh Valley Phantoms	-	Toronto Marlies	-
101	794	Toronto Marlies	-	Manitoba Moose	-
103	812	Rochester Americans	-	Toronto Marlies	-
105	824	Toronto Marlies	-	Hershey Bears	-
107	842	Providence Bruins	-	Toronto Marlies	-
108	857	Toronto Marlies	-	Providence Bruins	-
111	873	San Jose Barracuda	-	Toronto Marlies	-
113	892	Toronto Marlies	-	Belleville Senators	-
116	910	Rochester Americans	-	Toronto Marlies	-
118	932	Toronto Marlies	-	Charlotte Checkers	-
120	944	Laval Rocket	-	Toronto Marlies	-
122	965	Toronto Marlies	-	Henderson Silver Knights	-
124	975	Hartford Wolf Pack	-	Toronto Marlies	-
126	991	Toronto Marlies	-	Laval Rocket	-
128	1005	Bakersfield Condors	-	Toronto Marlies	-
130	1023	Toronto Marlies	-	Hershey Bears	-
132	1036	Syracuse Crunch	-	Toronto Marlies	-
134	1055	Toronto Marlies	-	Utica Comets	-
136	1067	Rockford IceHogs	-	Toronto Marlies	-
138	1082	Toronto Marlies	-	Belleville Senators	-
140	1095	Toronto Marlies	-	Lehigh Valley Phantoms	-
141	1108	Toronto Marlies	-	Wilkes-Barre/Scranton Penguins	-
144	1117	Ontario Reign	-	Toronto Marlies	-
146	1136	Utica Comets	-	Toronto Marlies	-
149	1155	Toronto Marlies	-	Rochester Americans	-
151	1171	Utica Comets	-	Toronto Marlies	-
152	1178	Toronto Marlies	-	Hartford Wolf Pack	-
155	1197	Toronto Marlies	-	Hamilton Hammers	-
158	1211	Cleveland Monsters	-	Toronto Marlies	-
161	1232	Providence Bruins	-	Toronto Marlies	-
168	1260	Belleville Senators	-	Toronto Marlies	-
170	1270	Toronto Marlies	-	Syracuse Crunch	-
171	1278	Toronto Marlies	-	Hartford Wolf Pack	-
175	1298	Belleville Senators	-	Toronto Marlies	-
176	1305	Toronto Marlies	-	Syracuse Crunch	-
184	1338	Cleveland Monsters	-	Toronto Marlies	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	15,515	10,160
Attendance PCT	70.52%	92.36%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
31	2334 - 77.80%	80,290$	883,189$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,054,328$	3,302,150$	3,302,150$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	799,366$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,488,987$	140	23,130$	3,238,200$

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
1	Alex Steeves	163	50	66	116	23	59	258	268	422	11.85%	37	3104	19.04	10	20	30	59	0	0	0	4	4	4	43.54%	0	0.75	0	12
2	Fraser Minten	154	42	63	105	-5	48	155	368	446	9.42%	41	3196	20.76	6	25	31	65	2	0	2	10	4	2	53.57%	1	0.66	3	9
3	Kieffer Bellows	136	44	54	98	8	65	235	230	420	10.48%	14	2823	20.76	12	15	27	69	0	0	0	10	10	2	44.86%	0	0.69	3	6
4	Tony DeAngelo	82	28	51	79	-3	52	121	133	183	15.30%	128	1975	24.10	16	14	30	111	0	1	1	0	8	2	0%	0	0.80	0	0
5	Nick Abruzzese	168	26	52	78	-22	27	130	206	297	8.75%	28	3045	18.13	7	17	24	57	0	1	1	2	3	1	41.90%	0	0.51	0	1

Toronto Marlies Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Dennis Hildeby	76	33	26	6	0.891	2.82	4068	2	5	191	1760	4	4	0.875	16
2	Joseph Woll	67	31	29	6	0.910	2.39	3940	8	6	157	1735	2	1	0.829	35
3	Dylan Garand	42	22	16	1	0.897	2.83	2227	2	2	105	1019	2	3	1.000	3
4	Artur Akhtyamov	20	10	4	2	0.920	1.99	995	0	1	33	413	3	0	0.500	6
5	Keith Petruzzelli	1	0	0	0	0.778	5.71	21	0	0	2	9	0	0	0	0

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
Regular Season
24	82	34	35	0	2	2	4	5	188	202	-14	41	16	16	0	1	1	2	5	97	108	-11	41	18	19	0	1	1	2	0	91	94	-3	87	188	318	506	2	7	75	55	52	8	1999	636	665	671	63	2186	588	746	1629	242	46	19.01%	306	50	83.66%	2	1233	2505	49.22%	1234	2635	46.83%	569	1166	48.80%	1911	1291	2001	607	1059	526
25	82	32	37	0	4	4	4	1	237	241	-4	41	15	17	0	2	4	2	1	126	118	8	41	17	20	0	2	0	2	0	111	123	-12	85	237	420	657	6	5	94	71	64	11	2202	700	719	767	31	2230	675	547	1702	277	62	22.38%	236	48	79.66%	1	1264	2505	50.46%	1200	2514	47.73%	640	1301	49.19%	1954	1339	1929	605	1074	540
26	22	12	3	0	2	2	2	1	88	60	28	11	7	0	0	1	1	2	0	46	28	18	11	5	3	0	1	1	0	1	42	32	10	35	88	150	238	0	1	30	25	29	4	714	231	212	258	21	528	156	202	429	86	13	15.12%	64	13	79.69%	2	429	726	59.09%	363	641	56.63%	209	367	56.95%	561	399	492	164	289	145
Total Regular Season	186	78	75	0	8	8	10	7	513	503	10	93	38	33	0	4	6	6	6	269	254	15	93	40	42	0	4	2	4	1	244	249	-5	207	513	888	1401	8	13	199	151	145	23	4915	1567	1596	1696	115	4944	1419	1495	3760	605	121	20.00%	606	111	81.68%	5	2926	5736	51.01%	2797	5790	48.31%	1418	2834	50.04%	4427	3031	4423	1377	2423	1212
Playoff
Total Playoff	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

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: 22 \| W: 16 \| L: 3 \| OTL: 3 \| P: 35 GF: 88 \| GA: 60 \| PP%: 15.12% \| PK%: 79.69% GM : Flavio \| Morale : 52 \| Team Overall : 61 Next Games #364 vs Laval Rocket