	Toronto Marlies
	GP: 68 \| W: 37 \| L: 26 \| OTL: 5 \| P: 79 GF: 237 \| GA: 207 \| PP%: 19.38% \| PK%: 82.38% GM : Justin Parrott \| Morale : 50 \| Team Overall : 65 Next Games #1121 vs Henderson Silver Knights

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
	Milwaukee Admirals 47-17-5, 99pts	4	FINAL	0	Toronto Marlies 37-26-5, 79pts

Team Stats
W3	Streak	W1
25-7-3	Home Record	19-13-3
22-10-2	Home Record	18-13-2
6-2-2	Last 10 Games	7-3-0
3.52	Goals Per Game	3.49
2.74	Goals Against Per Game	3.04
17.38%	Power Play Percentage	19.38%
76.65%	Penalty Kill Percentage	82.38%

Toronto Marlies
37-26-5, 79pts

FINAL

Syracuse Crunch
25-41-4, 54pts

Team Stats
W1	Streak	W1
19-13-3	Home Record	16-18-1
18-13-2	Home Record	9-23-3
7-3-0	Last 10 Games	2-7-1
3.49	Goals Per Game	2.40
3.04	Goals Against Per Game	3.40
19.38%	Power Play Percentage	18.89%
82.38%	Penalty Kill Percentage	81.79%

Henderson Silver Knights
48-15-6, 102pts

2026-09-09

Toronto Marlies
37-26-5, 79pts

Team Stats
L1	Streak	W1
26-5-4	Home Record	19-13-3
22-10-2	Away Record	18-13-2
7-3-0	Last 10 Games	7-3-0
3.52	Goals Per Game	3.49
2.52	Goals Against Per Game	3.49
21.88%	Power Play Percentage	19.38%
80.85%	Penalty Kill Percentage	82.38%

Toronto Marlies
37-26-5, 79pts

2026-09-11

Colorado Eagles
26-37-8, 60pts

Team Stats
W1	Streak	W3
19-13-3	Home Record	13-18-4
18-13-2	Away Record	13-19-4
7-3-0	Last 10 Games	4-4-2
3.49	Goals Per Game	2.45
3.04	Goals Against Per Game	2.45
19.38%	Power Play Percentage	17.84%
82.38%	Penalty Kill Percentage	81.78%

Toronto Marlies
37-26-5, 79pts

2026-09-12

Rochester Americans
44-18-7, 95pts

Team Stats
W1	Streak	L1
19-13-3	Home Record	21-8-6
18-13-2	Away Record	23-10-1
7-3-0	Last 10 Games	4-5-1
3.49	Goals Per Game	3.59
3.04	Goals Against Per Game	3.59
19.38%	Power Play Percentage	20.18%
82.38%	Penalty Kill Percentage	76.03%

Team Leaders
	Goals Mikey Eyssimont 26	Assists Wyatt Kaiser 51

	Points Wyatt Kaiser 63	Plus/Minus Mikey Eyssimont 10

	Wins Anton Forsberg 33	Save Percentage Anton Forsberg 0.903

Team Stats
Goals For 237 3.49 GFG	Shots For 2345 34.49 Avg	Power Play Percentage 19.4% 50 GF	Offensive Zone Start 42.8%
Goals Against 207 3.04 GAA	Shots Against 2069 30.43 Avg	Penalty Kill Percentage 82.4%% 34 GA	Defensive Zone Start 38.3%

Team Info
	General Manager	Justin Parrott
	Division	Division 4
	Conference	Conference 2
	Captain	Mikey Eyssimont
	Assistant #1	Wyatt Kaiser
	Assistant #2	Alex Laferriere
Arena Info
	Capacity	3,000
	Attendance	2,450
	Season Tickets	0
Roster Info
	Pro Team	29
	Farm Team	20
	Contract Limit	49 / 55
	Prospects	14
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	37,100,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	0
Finance
	Year to Date Revenue	1,326,295$
	Year To Date Expenses	29,000,673$
	Estimated Season Revenue	227,365$
	Estimated Season Expenses	6,137,009$
	Current Bank Account	0$
	Projected Bank Account	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 Laferriere (A)	78		X	X		100.00	86	71	72	83	75	72	76	74	50	70	74	67	25	61	61	74	50	68	0	24	5	1,000,000$
2	Shane Wright (R)	51	X				100.00	69	42	92	83	70	67	96	73	81	76	75	64	25	56	56	90	50	68	0	21	3	925,000$
3	Cedrick Guindon (R)	11	X	X			100.00	47	41	97	76	66	84	95	80	74	73	72	53	76	54	54	90	50	67	0	22	3	925,000$
4	Mikey Eyssimont (C)	23	X	X	X		100.00	89	95	59	75	69	66	86	72	39	67	70	69	25	68	69	46	50	66	0	29	5	1,500,000$
5	Patrick Thomas (R)	93	X				100.00	46	39	96	80	70	78	91	76	72	76	64	59	63	59	57	83	50	66	0	21	6	1,000,000$
6	Jayson Megna	20	X	X	X		100.00	72	67	93	77	72	80	84	64	80	60	60	71	59	78	78	11	50	66	0	36	1	1,500,000$
7	Marek Vanacker (R)	7		X	X		100.00	51	45	80	78	64	84	95	77	67	68	72	58	76	49	49	92	50	66	0	20	2	925,000$
8	Morgan Barron	36	X	X	X		100.00	77	55	90	78	84	56	89	63	46	58	65	73	75	68	69	57	50	65	0	27	5	1,250,000$
9	Kasper Halttunen (R)	14		X	X		100.00	66	64	69	76	76	78	91	74	67	61	74	60	77	50	50	91	50	65	0	20	1	875,000$
10	Rutger McGroarty (R)	12	X	X	X		100.00	52	49	95	73	74	71	76	76	74	74	66	57	66	60	56	88	50	65	0	22	2	925,000$
11	Marat Khusnutdinov (R)	92		X	X		100.00	75	47	86	71	66	70	56	69	69	68	60	77	25	49	49	76	50	63	0	23	2	1,400,000$
12	Isak Rosen (R)	63	X	X	X		100.00	75	67	94	72	59	81	85	66	50	61	68	65	65	45	45	69	50	63	0	23	6	894,167$
13	Braden Schneider	4				X	100.00	86	50	88	81	81	68	95	63	25	52	48	76	25	69	71	74	50	69	0	24	4	2,250,000$
14	Wyatt Kaiser (R) (A)	44				X	100.00	68	42	82	74	62	74	69	75	25	71	65	85	25	55	55	71	50	68	0	23	5	1,000,000$
15	Ronnie Attard	41				X	100.00	87	58	76	73	79	68	65	72	25	66	62	81	25	51	51	69	50	68	0	27	5	2,000,000$
16	Conor Timmins	25				X	100.00	79	49	78	77	80	68	56	75	25	70	53	70	25	66	67	57	50	66	0	27	5	1,100,000$
17	Marc Andre Gaudet (R)	87				X	100.00	51	47	91	72	71	77	91	67	25	69	56	72	48	61	61	83	50	65	0	22	6	1,300,000$
18	Loke Johansson (R)	55				X	100.00	61	58	74	63	78	68	95	45	25	45	37	70	39	50	50	90	50	59	0	20	3	925,000$
Scratches
1	Andreas Johnsson	18		X	X		100.00	61	42	90	82	68	65	75	68	42	68	57	61	79	74	74	31	50	64	0	31	3	2,000,000$
2	Nolan Foote (R)	29		X	X		100.00	86	85	71	79	76	74	76	64	51	58	66	70	62	51	51	69	50	64	0	25	5	950,000$
3	Angus MacDonell (R)	17	X	X			100.00	57	51	60	76	65	77	95	72	65	58	72	57	76	52	52	88	50	63	0	20	2	925,000$
4	Cam Squires (R)	77			X		100.00	52	46	76	74	65	80	95	72	68	71	60	54	63	50	50	90	50	63	0	21	3	925,000$
5	Ryan Tverberg (R)	97	X		X		100.00	61	56	92	70	61	59	61	60	79	60	56	61	55	50	50	74	50	57	0	24	4	750,000$
6	Erik Gustafsson	29				X	100.00	72	59	83	81	69	68	87	79	25	76	64	66	75	81	83	15	50	69	0	34	4	1,500,000$
7	Dmitry Orlov	79				X	100.00	71	44	90	82	76	68	88	62	33	58	50	69	25	89	93	15	50	68	0	34	3	2,999,998$
8	Matthew Robertson	2				X	100.00	82	82	72	68	79	73	77	50	25	43	41	65	39	52	52	72	50	60	0	25	4	900,000$

	TEAM AVERAGE						100.00	68	56	83	76	71	72	83	69	50	65	62	67	51	60	60	68	50	65

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	Anton Forsberg	31	99.00	62	59	59	75	65	61	70	63	67	62	59	69	69	16	50	64	0	33	5	800,000$
2	Brandon Bussi	32	100.00	57	50	63	80	69	72	68	73	72	58	30	50	50	59	50	64	0	27	4	985,000$
Scratches
1	Remi Poirier (R)	33	100.00	54	43	54	79	58	59	54	61	60	55	30	51	51	73	50	57	0	24	3	700,000$

	TEAM AVERAGE		99.67	58	51	59	78	64	64	64	66	66	58	40	57	57	49	50	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Wyatt Kaiser	Toronto Marlies (TOR)	D	68	12	51	63	3	18	45	118	174	58	103	6.90%	103	1542	22.68	6	14	20	107	236	0	0	0	3	172	1	1	0%	0	0	0	0.82	0	0	4	1	1
2	Alex Laferriere	Toronto Marlies (TOR)	LW/RW	68	25	34	59	4	60	189	79	255	72	177	9.80%	11	1325	19.49	2	13	15	57	230	0	0	0	1	41	5	3	44.44%	90	1	0	0.89	0	0	3	7	5
3	Shane Wright	Toronto Marlies (TOR)	C	68	23	34	57	4	8	28	152	210	68	158	10.95%	9	1251	18.40	8	10	18	45	229	0	0	0	0	0	5	2	56.01%	1714	0	0	0.91	0	0	0	6	3
4	Mikey Eyssimont	Toronto Marlies (TOR)	C/LW/RW	68	26	23	49	10	52	256	80	211	39	156	12.32%	10	1299	19.11	6	9	15	49	206	0	0	0	2	96	2	2	36.96%	138	0	1	0.75	0	0	3	3	5
5	Marek Vanacker	Toronto Marlies (TOR)	LW/RW	68	25	24	49	10	0	1	76	213	70	142	11.74%	5	1225	18.02	8	8	16	64	226	0	0	0	0	0	7	2	60.00%	70	0	0	0.80	0	4	1	3	3
6	Patrick Thomas	Toronto Marlies (TOR)	C	68	10	35	45	1	0	5	152	148	50	127	6.76%	10	1116	16.42	1	8	9	35	147	0	1	1	2	140	0	1	55.96%	1401	0	0	0.81	0	1	1	2	0
7	Cedrick Guindon	Toronto Marlies (TOR)	C/LW	68	16	29	45	10	0	0	135	139	53	132	11.51%	5	1232	18.12	3	8	11	37	224	0	0	0	0	0	2	2	51.34%	1420	0	0	0.73	3	4	2	2	0
8	Conor Timmins	Toronto Marlies (TOR)	D	68	8	34	42	7	64	160	72	73	25	55	10.96%	80	1215	17.88	3	4	7	39	125	0	0	0	0	70	0	0	0%	0	0	0	0.69	0	0	1	2	3
9	Ronnie Attard	Toronto Marlies (TOR)	D	68	10	28	38	10	60	167	80	93	26	54	10.75%	84	1325	19.49	5	4	9	23	52	0	0	0	1	144	2	0	0%	0	0	0	0.57	0	0	3	3	1
10	Kasper Halttunen	Toronto Marlies (TOR)	LW/RW	67	17	21	38	9	26	142	67	176	38	118	9.66%	7	1134	16.93	3	6	9	45	207	0	0	0	0	10	0	1	52.38%	63	0	0	0.67	1	2	1	1	3
11	Marc Andre Gaudet	Toronto Marlies (TOR)	D	68	7	26	33	7	4	6	75	74	23	42	9.46%	107	1359	19.99	0	3	3	20	75	0	0	0	0	132	0	0	0%	0	0	0	0.49	0	0	1	2	3
12	Braden Schneider	Toronto Marlies (TOR)	D	68	1	26	27	-1	52	217	64	44	16	33	2.27%	100	1292	19.00	1	0	1	2	5	0	0	0	1	138	0	0	0%	0	0	0	0.42	0	0	2	1	1
13	Rutger McGroarty	Toronto Marlies (TOR)	C/LW/RW	68	16	11	27	-12	0	17	70	147	42	121	10.88%	2	1088	16.01	6	3	9	27	218	0	0	0	0	0	4	1	59.72%	72	0	0	0.50	0	3	1	0	5
14	Matias Maccelli	Toronto Maple Leafs	LW/RW	30	14	11	25	14	0	3	45	115	28	71	12.17%	1	592	19.74	0	3	3	20	96	0	0	0	1	49	3	1	48.00%	50	0	1	0.84	0	0	3	0	1
15	Marat Khusnutdinov	Toronto Marlies (TOR)	LW/RW	68	11	10	21	2	6	48	61	92	29	55	11.96%	12	835	12.29	0	0	0	0	1	1	0	1	6	198	1	0	50.23%	213	0	0	0.50	0	0	1	1	0
16	Jayson Megna	Toronto Marlies (TOR)	C/LW/RW	68	4	15	19	0	2	24	71	84	25	53	4.76%	9	619	9.12	0	0	0	0	0	0	0	0	1	22	1	0	57.88%	520	0	0	0.61	0	0	1	1	2
17	Morgan Barron	Toronto Marlies (TOR)	C/LW/RW	67	9	6	15	2	26	48	46	88	23	58	10.23%	7	592	8.84	0	0	0	3	9	0	0	0	1	50	1	1	42.22%	45	0	1	0.51	0	0	1	1	0
18	Loke Johansson	Toronto Marlies (TOR)	D	68	3	12	15	6	18	36	24	27	8	20	11.11%	90	1045	15.37	0	0	0	0	0	0	0	0	0	23	0	0	0%	0	0	0	0.29	0	0	1	0	1
19	Isak Rosen	Toronto Marlies (TOR)	C/LW/RW	60	5	0	5	-6	4	28	30	55	4	44	9.09%	0	473	7.88	0	0	0	1	2	0	0	0	1	86	1	0	34.62%	26	0	0	0.21	0	0	1	0	0
20	Angus MacDonell	Toronto Marlies (TOR)	C/LW	1	0	0	0	-1	0	0	0	1	0	1	0%	0	6	6.13	0	0	0	1	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0
21	Cam Squires	Toronto Marlies (TOR)	RW	1	0	0	0	-1	0	0	0	1	0	1	0%	0	6	6.32	0	0	0	1	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0
Team Total or Average				1246	242	430	672	78	400	1420	1497	2420	697	1721	10.00%	652	20578	16.52	52	93	145	576	2297	1	1	2	20	1380	35	17	53.97%	5822	1	3	0.65	4	14	31	36	37

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	GS	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	BG	S1	S2	S3
1	Anton Forsberg	Toronto Marlies (TOR)	56	56	33	21	2	0.903	2.94	3371	4	3	165	1706	0	4	2	0.818	11	12	5	1	3
2	Brandon Bussi	Toronto Marlies (TOR)	12	12	4	5	3	0.895	3.13	728	0	0	38	361	0	0	0	0.500	2	56	0	0	0
Team Total or Average			68	37	26	5	0.902	2.97	4100	4	3	203	2067	0	4	2		13	68	68	5	1	3

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Alex Laferriere	Toronto Marlies (TOR)	LW/RW	24	2001-10-28	USA	No	205 Lbs	6 ft1	No	No	Assign Manually		No	No	5	2025-07-27	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Andreas Johnsson	Toronto Marlies (TOR)	LW/RW	31	1994-11-20	SWE	No	195 Lbs	5 ft10	No	No	Assign Manually		No	No	3	2024-08-15	False	False	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Angus MacDonell	Toronto Marlies (TOR)	C/LW	20	2005-05-11	CAN	Yes	191 Lbs	5 ft10	No	No	Assign Manually		No	No	2	2025-08-21	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Anton Forsberg	Toronto Marlies (TOR)	G	33	1992-11-26	SWE	No	198 Lbs	6 ft3	No	No	Assign Manually		No	No	5	2025-08-30	False	False	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Braden Schneider	Toronto Marlies (TOR)	D	24	2001-09-20	SKW	No	213 Lbs	6 ft4	No	No	Trade	2026-04-15	No	No	4	2024-12-29	False	False	Pro & Farm	2,250,000$	0$	0$	No	2,250,000$	2,250,000$	2,250,000$	-	-	-	-	-	-	2,250,000$	2,250,000$	2,250,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Brandon Bussi	Toronto Marlies (TOR)	G	27	1998-06-25	USA	No	207 Lbs	6 ft5	No	No	Trade	2026-04-18	No	No	4	2024-12-29	False	False	Pro & Farm	985,000$	0$	0$	No	985,000$	985,000$	985,000$	-	-	-	-	-	-	985,000$	985,000$	985,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Cam Squires	Toronto Marlies (TOR)	RW	21	2005-04-11	CAN	Yes	176 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2026-04-08	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Cedrick Guindon	Toronto Marlies (TOR)	C/LW	22	2004-04-21	CAN	Yes	185 Lbs	5 ft11	No	No	Assign Manually		No	No	3	2026-04-08	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Conor Timmins	Toronto Marlies (TOR)	D	27	1998-09-18	ONT	No	213 Lbs	6 ft3	No	No	Assign Manually	2024-10-21	No	No	5	2025-07-27	False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	1,100,000$	1,100,000$	1,100,000$	-	-	-	-	-	1,100,000$	1,100,000$	1,100,000$	1,100,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Dmitry Orlov	Toronto Marlies (TOR)	D	34	1991-07-23	RUS	No	214 Lbs	5 ft11	No	No	Assign Manually		No	No	3	2024-08-15	False	False	Pro & Farm	2,999,998$	0$	0$	No	2,999,998$	2,999,998$	-	-	-	-	-	-	-	2,999,998$	2,999,998$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Erik Gustafsson	Toronto Marlies (TOR)	D	34	1992-03-14	SWE	No	189 Lbs	6 ft1	No	No	Assign Manually		No	Yes	4	2025-01-14	False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	-	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Isak Rosen	Toronto Marlies (TOR)	C/LW/RW	23	2003-03-15	SWE	Yes	165 Lbs	5 ft11	No	No	Assign Manually	2025-01-03	No	No	6	2026-03-26	False	False	Pro & Farm	894,167$	0$	0$	No	894,167$	894,167$	894,167$	894,167$	894,167$	-	-	-	-	894,167$	894,167$	894,167$	894,167$	894,167$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Jayson Megna	Toronto Marlies (TOR)	C/LW/RW	36	1990-02-01	USA	No	196 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2024-12-29	False	False	Pro & Farm	1,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kasper Halttunen	Toronto Marlies (TOR)	LW/RW	20	2005-06-07	FIN	Yes	217 Lbs	6 ft5	No	No	Trade	2026-06-06	No	No	1	2025-01-18	False	False	Pro & Farm	875,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Loke Johansson	Toronto Marlies (TOR)	D	20	2005-12-14	SWE	Yes	214 Lbs	6 ft3	No	No	Assign Manually		No	No	3	2026-04-08	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Marat Khusnutdinov	Toronto Marlies (TOR)	LW/RW	23	2002-07-17	RUS	Yes	185 Lbs	5 ft11	No	No	Assign Manually	2025-01-03	No	No	2	2025-08-17	False	False	Pro & Farm	1,400,000$	0$	0$	No	1,400,000$	-	-	-	-	-	-	-	-	1,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Marc Andre Gaudet	Toronto Marlies (TOR)	D	22	2003-10-24	CAN	Yes	189 Lbs	6 ft3	No	No	Trade	2026-04-05	No	No	6	2026-03-20	False	False	Pro & Farm	1,300,000$	0$	0$	No	1,300,000$	1,300,000$	1,300,000$	1,300,000$	1,300,000$	-	-	-	-	1,300,000$	1,300,000$	1,300,000$	1,300,000$	1,300,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Marek Vanacker	Toronto Marlies (TOR)	LW/RW	20	2006-04-12	CAN	Yes	176 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2025-08-21	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Matthew Robertson	Toronto Marlies (TOR)	D	25	2001-03-09	AB	No	208 Lbs	6 ft4	No	No	Trade	2026-04-14	No	No	4	2024-12-29	False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	900,000$	-	-	-	-	-	-	900,000$	900,000$	900,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Mikey Eyssimont	Toronto Marlies (TOR)	C/LW/RW	29	1996-09-09	USA	No	191 Lbs	6 ft0	No	No	Assign Manually		No	No	5	2025-07-27	False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	1,500,000$	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Morgan Barron	Toronto Marlies (TOR)	C/LW/RW	27	1998-12-02	NS	No	220 Lbs	6 ft4	No	No	Assign Manually		No	No	5	2025-08-29	False	False	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	1,250,000$	1,250,000$	1,250,000$	-	-	-	-	-	1,250,000$	1,250,000$	1,250,000$	1,250,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Nolan Foote	Toronto Marlies (TOR)	LW/RW	25	2000-11-29	USA	Yes	202 Lbs	6 ft3	No	No	Assign Manually		No	No	5	2025-07-27	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	950,000$	950,000$	-	-	-	-	-	950,000$	950,000$	950,000$	950,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Patrick Thomas	Toronto Marlies (TOR)	C	21	2004-08-21	CAN	Yes	186 Lbs	6 ft3	No	No	Assign Manually	2025-01-02	No	No	6	2026-04-04	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link
Remi Poirier	Toronto Marlies (TOR)	G	24	2001-06-10	QUE	Yes	213 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2026-04-12	False	False	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ronnie Attard	Toronto Marlies (TOR)	D	27	1999-03-20	USA	No	209 Lbs	6 ft3	No	No	Assign Manually		No	No	5	2025-08-29	False	False	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	2,000,000$	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link
Rutger McGroarty	Toronto Marlies (TOR)	C/LW/RW	22	2004-03-30	USA	Yes	208 Lbs	6 ft1	No	No	Trade	2026-04-27	No	No	2	2025-08-21	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Ryan Tverberg	Toronto Marlies (TOR)	C/RW	24	2002-01-30	ONT	Yes	175 Lbs	5 ft10	No	No	Assign Manually		No	No	4	2024-12-29	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	750,000$	-	-	-	-	-	-	750,000$	750,000$	750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Shane Wright	Toronto Marlies (TOR)	C	21	2005-01-05	CAN	Yes	198 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2026-04-08	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Wyatt Kaiser	Toronto Marlies (TOR)	D	23	2002-07-31	USA	Yes	173 Lbs	6 ft0	No	No	Assign Manually	2025-03-06	No	No	5	2025-07-27	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	25.14	197 Lbs	6 ft1	3.76	1,211,351$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex Laferriere	Shane Wright	Kasper Halttunen	34	1	0	4
2	Mikey Eyssimont	Cedrick Guindon	Marek Vanacker	32	0	1	4
3	Marat Khusnutdinov	Patrick Thomas	Rutger McGroarty	26	0	1	4
4	Isak Rosen	Jayson Megna	Morgan Barron	8	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ronnie Attard	Wyatt Kaiser	35	1	3	1
2	Braden Schneider	Marc Andre Gaudet	35	1	3	1
3	Conor Timmins	Loke Johansson	30	1	3	1
4	Ronnie Attard	Wyatt Kaiser	0	1	3	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Cedrick Guindon	Shane Wright	Alex Laferriere	60	0	0	5
2	Kasper Halttunen	Patrick Thomas	Mikey Eyssimont	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marek Vanacker	Wyatt Kaiser	60	0	0	5
2	Rutger McGroarty	Ronnie Attard	40	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Patrick Thomas	Marat Khusnutdinov	60	0	5	0
2	Jayson Megna	Morgan Barron	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ronnie Attard	Wyatt Kaiser	60	0	5	0
2	Braden Schneider	Conor Timmins	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Alex Laferriere	60	0	5	0	Ronnie Attard	Wyatt Kaiser	60	0	5	0
2	Jayson Megna	40	0	5	0	Braden Schneider	Conor Timmins	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Shane Wright	Alex Laferriere	60	0	0	5
2	Cedrick Guindon	Mikey Eyssimont	40	0	0	5

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ronnie Attard	Wyatt Kaiser	60	0	5	0
2	Braden Schneider	Conor Timmins	40	0	5	0

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Laferriere	Shane Wright	Marat Khusnutdinov	Ronnie Attard	Wyatt Kaiser

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Laferriere	Shane Wright	Marat Khusnutdinov	Ronnie Attard	Wyatt Kaiser

Extra Forwards
Normal	PowerPlay	Penalty Kill
Shane Wright, Alex Laferriere, Mikey Eyssimont	Patrick Thomas, Morgan Barron	Mikey Eyssimont

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Wyatt Kaiser, Ronnie Attard, Braden Schneider	Ronnie Attard	Conor Timmins, Wyatt Kaiser

Penalty Shots
Cedrick Guindon, Marek Vanacker, Rutger McGroarty, Kasper Halttunen, Patrick Thomas

Goalie
#1 : Anton Forsberg, #2 : Brandon Bussi

Custom OT Lines Forwards
Shane Wright, Alex Laferriere, Cedrick Guindon, Rutger McGroarty, Patrick Thomas, Marek Vanacker, Marek Vanacker, Marat Khusnutdinov, Mikey Eyssimont, Morgan Barron, Kasper Halttunen

Custom OT Lines Defensemen
Wyatt Kaiser, Ronnie Attard, Marc Andre Gaudet, Braden Schneider, Conor Timmins

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	Abbotsford Canucks	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	15	24	0	0	85	73	76	4	51	742	805	776	35	80	10	20	41	10	3	30.00%	10	1	90.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
2	Bakersfield Condors	3	1	2	0	0	0	0	0	9	12	-3	2	0	2	0	0	0	0	0	5	9	-4	1	1	0	0	0	0	0	0	4	3	1	2	0.333	9	16	25	0	0	85	73	76	4	109	742	805	776	35	82	34	14	55	15	4	26.67%	7	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
3	Belleville Senators	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	85	73	76	4	27	742	805	776	35	29	12	6	20	4	0	0.00%	3	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
4	Bridgeport Islanders	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	85	73	76	4	30	742	805	776	35	30	15	12	28	1	0	0.00%	6	1	83.33%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
5	Calgary Wranglers	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	7	13	20	0	0	85	73	76	4	62	742	805	776	35	54	20	10	33	7	1	14.29%	5	3	40.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
6	Charlotte Checkers	3	3	0	0	0	0	0	0	14	7	7	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	9	4	5	6	1.000	14	27	41	0	0	85	73	76	4	100	742	805	776	35	99	26	10	57	13	2	15.38%	5	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
7	Chicago Wolves	2	0	1	0	0	1	0	0	4	8	-4	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	5	-3	1	0.250	4	8	12	0	0	85	73	76	4	71	742	805	776	35	66	22	18	59	4	0	0.00%	9	3	66.67%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
8	Cleveland Monsters	1	1	0	0	0	0	0	0	8	5	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	5	3	2	1.000	8	15	23	0	0	85	73	76	4	41	742	805	776	35	44	10	6	27	5	3	60.00%	3	2	33.33%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
9	Coachella Valley Firebirds	4	0	3	0	0	0	0	1	10	16	-6	1	0	1	0	0	0	0	0	2	4	-2	3	0	2	0	0	0	0	1	8	12	-4	1	0.125	10	16	26	0	0	85	73	76	4	107	742	805	776	35	125	36	14	76	11	2	18.18%	7	2	71.43%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
10	Colorado Eagles	5	5	0	0	0	0	0	0	18	8	10	2	2	0	0	0	0	0	0	7	4	3	3	3	0	0	0	0	0	0	11	4	7	10	1.000	18	32	50	0	0	85	73	76	4	159	742	805	776	35	111	38	20	85	17	3	17.65%	10	2	80.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
11	Grand Rapids Griffins	3	2	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	4	2	2	2	1	1	0	0	0	0	0	5	7	-2	4	0.667	9	17	26	0	0	85	73	76	4	106	742	805	776	35	97	24	20	65	13	2	15.38%	10	2	80.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
12	Hartford Wolf Pack	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	4	8	0	0	85	73	76	4	48	742	805	776	35	30	8	6	20	4	1	25.00%	3	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
13	Henderson Silver Knights	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	85	73	76	4	40	742	805	776	35	23	11	6	21	5	1	20.00%	3	1	66.67%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
14	Hershey Bears	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	5	7	12	0	0	85	73	76	4	55	742	805	776	35	58	32	14	44	6	0	0.00%	7	1	85.71%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
15	Iowa Wild	2	1	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	3	1	2	2	0.500	4	8	12	0	0	85	73	76	4	86	742	805	776	35	63	26	10	34	5	1	20.00%	5	1	80.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
16	Laval Rocket	4	1	3	0	0	0	0	0	11	14	-3	2	0	2	0	0	0	0	0	5	8	-3	2	1	1	0	0	0	0	0	6	6	0	2	0.250	11	21	32	0	1	85	73	76	4	161	742	805	776	35	168	47	26	96	17	1	5.88%	13	2	84.62%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
17	Lehigh Valley Phantoms	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	85	73	76	4	33	742	805	776	35	28	8	4	25	2	0	0.00%	2	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
18	Manitoba Moose	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	3	5	8	0	0	85	73	76	4	62	742	805	776	35	65	19	10	32	7	1	14.29%	5	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
19	Milwaukee Admirals	2	0	2	0	0	0	0	0	1	8	-7	2	0	2	0	0	0	0	0	1	8	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	85	73	76	4	33	742	805	776	35	63	26	16	44	1	0	0.00%	8	3	62.50%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
20	Ontario Reign	2	1	1	0	0	0	0	0	8	6	2	2	1	1	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	2	0.500	8	14	22	0	0	85	73	76	4	66	742	805	776	35	52	18	22	39	8	4	50.00%	11	2	81.82%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
21	Providence Bruins	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	2	3	0	0	85	73	76	4	35	742	805	776	35	25	5	0	18	5	0	0.00%	0	0	0%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
22	Rochester Americans	3	0	1	0	0	2	0	0	8	12	-4	2	0	1	0	0	1	0	0	5	8	-3	1	0	0	0	0	1	0	0	3	4	-1	2	0.333	8	14	22	0	0	85	73	76	4	105	742	805	776	35	99	25	26	59	13	3	23.08%	13	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
23	Rockford IceHogs	4	3	1	0	0	0	0	0	14	10	4	2	2	0	0	0	0	0	0	8	3	5	2	1	1	0	0	0	0	0	6	7	-1	6	0.750	14	22	36	1	0	85	73	76	4	139	742	805	776	35	86	30	16	64	18	4	22.22%	8	3	62.50%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
24	San Diego Gulls	2	0	1	0	0	0	0	1	5	8	-3	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0.250	5	9	14	0	0	85	73	76	4	89	742	805	776	35	69	23	8	39	9	1	11.11%	4	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
25	San Jose Barracuda	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	85	73	76	4	46	742	805	776	35	24	10	4	22	6	1	16.67%	2	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
26	Springfield Thunderbirds	4	3	1	0	0	0	0	0	17	12	5	2	1	1	0	0	0	0	0	8	8	0	2	2	0	0	0	0	0	0	9	4	5	6	0.750	17	32	49	1	0	85	73	76	4	152	742	805	776	35	133	45	24	79	12	5	41.67%	12	2	83.33%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
27	Syracuse Crunch	2	1	0	0	0	0	1	0	9	4	5	1	1	0	0	0	0	0	0	4	0	4	1	0	0	0	0	0	1	0	5	4	1	4	1.000	9	14	23	0	1	85	73	76	4	72	742	805	776	35	59	12	14	37	12	2	16.67%	7	1	85.71%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
28	Texas Stars	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	85	73	76	4	30	742	805	776	35	30	4	2	12	6	2	33.33%	1	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
29	Tucson Roadrunners	4	3	0	0	1	0	0	0	24	10	14	2	2	0	0	0	0	0	0	14	4	10	2	1	0	0	1	0	0	0	10	6	4	8	1.000	24	44	68	0	0	85	73	76	4	167	742	805	776	35	126	32	20	79	15	2	13.33%	10	2	80.00%	1	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
30	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	85	73	76	4	29	742	805	776	35	27	8	4	27	3	0	0.00%	2	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
31	Wilkes-Barre/Scranton Penguins	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	1	85	73	76	4	34	742	805	776	35	24	12	4	24	4	1	25.00%	2	0	100.00%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
	Total	68	34	26	0	1	3	2	2	237	207	30	35	18	13	0	0	2	1	1	129	106	23	33	16	13	0	1	1	1	1	108	101	7	79	0.581	237	421	658	2	3	85	73	76	4	2345	742	805	776	35	2069	648	386	1361	258	50	19.38%	193	34	82.38%	1	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
	_Since Last GM Reset	68	34	26	0	1	3	2	2	237	207	30	35	18	13	0	0	2	1	1	129	106	23	33	16	13	0	1	1	1	1	108	101	7	79	0.581	237	421	658	2	3	85	73	76	4	2345	742	805	776	35	2069	648	386	1361	258	50	19.38%	193	34	82.38%	1	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
	_Vs Conference	44	23	17	0	0	3	0	1	142	136	6	22	10	10	0	0	2	0	0	71	73	-2	22	13	7	0	0	1	0	1	71	63	8	50	0.568	142	256	398	2	1	85	73	76	4	1471	742	805	776	35	1356	413	246	859	162	33	20.37%	123	24	80.49%	0	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443
	_Vs Division	24	8	5	0	0	2	0	0	88	61	27	13	3	3	0	0	1	0	0	49	37	12	11	5	2	0	0	1	0	0	39	24	15	18	0.375	88	158	246	2	0	85	73	76	4	828	742	805	776	35	677	220	118	429	81	18	22.22%	59	13	77.97%	1	1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%	1698	1188	1539	485	870	443

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
68	79	W1	237	421	658	2345	2069	648	386	1361	2	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
68	34	26	1	3	2	2	237	207

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
35	18	13	0	2	1	1	129	106

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
33	16	13	1	1	1	1	108	101

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	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
258	50	19.38%	193	34	82.38%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
742	805	776	35	85	73	76	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1328	2450	54.20%	1192	2191	54.40%	595	1084	54.89%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1698	1188	1539	485	870	443

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
1 - 2026-04-25	4	Toronto Marlies	3	Colorado Eagles	1	W			BoxScore
4 - 2026-04-28	22	Rochester Americans	5	Toronto Marlies	4	L	X		BoxScore
6 - 2026-04-30	41	Ontario Reign	3	Toronto Marlies	2	L			BoxScore
8 - 2026-05-02	56	Toronto Marlies	3	Rockford IceHogs	5	L			BoxScore
9 - 2026-05-03	62	Toronto Marlies	3	Colorado Eagles	1	W			BoxScore
11 - 2026-05-05	82	Toronto Marlies	5	Grand Rapids Griffins	3	W			BoxScore
13 - 2026-05-07	97	Toronto Marlies	5	Colorado Eagles	2	W			BoxScore
15 - 2026-05-09	113	Tucson Roadrunners	2	Toronto Marlies	8	W			BoxScore
17 - 2026-05-11	131	Rochester Americans	3	Toronto Marlies	1	L			BoxScore
18 - 2026-05-12	145	Toronto Marlies	2	Coachella Valley Firebirds	3	L	X	X	BoxScore
20 - 2026-05-14	156	Toronto Marlies	0	Grand Rapids Griffins	4	L			BoxScore
22 - 2026-05-16	168	Laval Rocket	4	Toronto Marlies	2	L			BoxScore
24 - 2026-05-18	190	Springfield Thunderbirds	3	Toronto Marlies	5	W			BoxScore
26 - 2026-05-20	207	Toronto Marlies	3	Rockford IceHogs	2	W			BoxScore
28 - 2026-05-22	220	Henderson Silver Knights	3	Toronto Marlies	6	W			BoxScore
31 - 2026-05-25	245	Colorado Eagles	2	Toronto Marlies	4	W			BoxScore
32 - 2026-05-26	257	Toronto Marlies	5	Tucson Roadrunners	4	W	X		BoxScore
35 - 2026-05-29	275	Coachella Valley Firebirds	4	Toronto Marlies	2	L			BoxScore
37 - 2026-05-31	293	Toronto Marlies	3	Rochester Americans	4	L	X		BoxScore
39 - 2026-06-02	305	Texas Stars	2	Toronto Marlies	7	W			BoxScore
41 - 2026-06-04	325	Toronto Marlies	2	Hershey Bears	5	L			BoxScore
43 - 2026-06-06	340	Lehigh Valley Phantoms	2	Toronto Marlies	5	W			BoxScore
44 - 2026-06-07	356	Toronto Marlies	1	Providence Bruins	3	L			BoxScore
46 - 2026-06-09	370	Toronto Marlies	2	Chicago Wolves	5	L			BoxScore
48 - 2026-06-11	385	Chicago Wolves	3	Toronto Marlies	2	L	X		BoxScore
49 - 2026-06-12	396	Toronto Marlies	4	Charlotte Checkers	2	W			BoxScore
52 - 2026-06-15	415	Tucson Roadrunners	2	Toronto Marlies	6	W			BoxScore
54 - 2026-06-17	432	Toronto Marlies	1	Belleville Senators	2	L			BoxScore
55 - 2026-06-18	442	Manitoba Moose	4	Toronto Marlies	3	L			BoxScore
58 - 2026-06-21	465	Bridgeport Islanders	3	Toronto Marlies	4	W			BoxScore
60 - 2026-06-23	479	Toronto Marlies	8	Cleveland Monsters	5	W			BoxScore
61 - 2026-06-24	494	Toronto Marlies	4	Springfield Thunderbirds	2	W			BoxScore
63 - 2026-06-26	506	San Diego Gulls	4	Toronto Marlies	3	L	X	X	BoxScore
65 - 2026-06-28	529	Syracuse Crunch	0	Toronto Marlies	4	W			BoxScore
67 - 2026-06-30	544	Toronto Marlies	3	Iowa Wild	1	W			BoxScore
69 - 2026-07-02	560	Springfield Thunderbirds	5	Toronto Marlies	3	L			BoxScore
71 - 2026-07-04	573	Toronto Marlies	2	Calgary Wranglers	4	L			BoxScore
73 - 2026-07-06	590	Toronto Marlies	0	Manitoba Moose	2	L			BoxScore
75 - 2026-07-08	605	Hershey Bears	4	Toronto Marlies	3	L			BoxScore
76 - 2026-07-09	619	Toronto Marlies	5	Tucson Roadrunners	2	W			BoxScore
78 - 2026-07-11	636	Toronto Marlies	3	Abbotsford Canucks	2	W			BoxScore
80 - 2026-07-13	647	Iowa Wild	4	Toronto Marlies	1	L			BoxScore
82 - 2026-07-15	669	Laval Rocket	4	Toronto Marlies	3	L			BoxScore
86 - 2026-07-19	694	Toronto Marlies	5	Charlotte Checkers	2	W			BoxScore
87 - 2026-07-20	704	Bakersfield Condors	5	Toronto Marlies	3	L			BoxScore
89 - 2026-07-22	727	Abbotsford Canucks	4	Toronto Marlies	6	W			BoxScore
91 - 2026-07-24	743	Toronto Marlies	2	San Diego Gulls	4	L			BoxScore
93 - 2026-07-26	756	Rockford IceHogs	1	Toronto Marlies	4	W			BoxScore
96 - 2026-07-29	783	Bakersfield Condors	4	Toronto Marlies	2	L			BoxScore
98 - 2026-07-31	795	Toronto Marlies	4	Bakersfield Condors	3	W			BoxScore
100 - 2026-08-02	814	Colorado Eagles	2	Toronto Marlies	3	W			BoxScore
102 - 2026-08-04	827	Toronto Marlies	3	San Jose Barracuda	4	L			BoxScore
104 - 2026-08-06	844	Toronto Marlies	5	Springfield Thunderbirds	2	W			BoxScore
105 - 2026-08-07	856	Rockford IceHogs	2	Toronto Marlies	4	W			BoxScore
107 - 2026-08-09	876	Toronto Marlies	5	Utica Comets	3	W			BoxScore
109 - 2026-08-11	887	Ontario Reign	3	Toronto Marlies	6	W			BoxScore
111 - 2026-08-13	906	Milwaukee Admirals	4	Toronto Marlies	1	L			BoxScore
114 - 2026-08-16	929	Toronto Marlies	3	Coachella Valley Firebirds	5	L			BoxScore
115 - 2026-08-17	944	Calgary Wranglers	3	Toronto Marlies	5	W			BoxScore
117 - 2026-08-19	962	Charlotte Checkers	3	Toronto Marlies	5	W			BoxScore
120 - 2026-08-22	983	Toronto Marlies	3	Laval Rocket	0	W			BoxScore
121 - 2026-08-23	993	Toronto Marlies	3	Coachella Valley Firebirds	4	L			BoxScore
123 - 2026-08-25	1005	Wilkes-Barre/Scranton Penguins	0	Toronto Marlies	4	W			BoxScore
125 - 2026-08-27	1027	Grand Rapids Griffins	2	Toronto Marlies	4	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
128 - 2026-08-30	1043	Toronto Marlies	3	Laval Rocket	6	L			BoxScore
131 - 2026-09-02	1062	Hartford Wolf Pack	3	Toronto Marlies	4	W	X	X	BoxScore
134 - 2026-09-05	1089	Milwaukee Admirals	4	Toronto Marlies	0	L			BoxScore
135 - 2026-09-06	1104	Toronto Marlies	5	Syracuse Crunch	4	W	X	X	BoxScore
138 - 2026-09-09	1121	Henderson Silver Knights	-	Toronto Marlies	-
140 - 2026-09-11	1137	Toronto Marlies	-	Colorado Eagles	-
141 - 2026-09-12	1151	Toronto Marlies	-	Rochester Americans	-
143 - 2026-09-14	1163	Grand Rapids Griffins	-	Toronto Marlies	-
145 - 2026-09-16	1177	Toronto Marlies	-	Grand Rapids Griffins	-
147 - 2026-09-18	1190	Henderson Silver Knights	-	Toronto Marlies	-
148 - 2026-09-19	1202	Toronto Marlies	-	Grand Rapids Griffins	-
151 - 2026-09-22	1221	Toronto Marlies	-	Rochester Americans	-
152 - 2026-09-23	1232	Ontario Reign	-	Toronto Marlies	-
154 - 2026-09-25	1245	Toronto Marlies	-	Milwaukee Admirals	-
157 - 2026-09-28	1263	Toronto Marlies	-	Texas Stars	-
158 - 2026-09-29	1273	Rochester Americans	-	Toronto Marlies	-
161 - 2026-10-02	1293	Rochester Americans	-	Toronto Marlies	-
164 - 2026-10-05	1306	Toronto Marlies	-	Rockford IceHogs	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	65,720	20,025
Attendance PCT	93.89%	57.21%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
6	2450 - 81.66%	37,894$	1,326,295$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
29,000,673$	35,129,164$	35,129,164$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	29,000,673$	0$	0	0

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary	Sum Year 6 Salary
35,129,165$ Retained salaries: 0$	32,754,165$ Retained salaries: 0$	28,579,165$ Retained salaries: 0$	19,179,167$ Retained salaries: 0$	12,794,167$ Retained salaries: 0$	3,194,167$ Retained salaries: 0$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
0$	37,100,000$	37,100,000$	-60,200,000$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
227,365$	29	211,621$	6,137,009$

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

Back to the Top