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

Game Center
	Stars 39-38-5, 83pts	2	Box score	3	Marlies 44-34-4, 92pts

Team Stats
W1	Streak	W5
20-18-3	Home Record	27-14-0
19-20-2	Home Record	17-20-4
4-5-1	Last 10 Games	7-3-0
3.26	Goals Per Game	3.12
3.35	Goals Against Per Game	3.06
22.37%	Power Play Percentage	18.29%
71.63%	Penalty Kill Percentage	80.45%

Marlies
44-34-4, 92pts

Box score

Senators
48-27-7, 103pts

Team Stats
W5	Streak	L3
27-14-0	Home Record	25-12-4
17-20-4	Home Record	23-15-3
7-3-0	Last 10 Games	3-7-0
3.12	Goals Per Game	3.48
3.06	Goals Against Per Game	3.09
18.29%	Power Play Percentage	24.14%
80.45%	Penalty Kill Percentage	80.97%

Team Leaders
	Goals Ben King 33	Assists Josh Lopina 39

	Points Ben King 71	Plus/Minus Jack Matier 16

	Wins Daniil Tarasov 42	Save Percentage Kaapo Kahkonen 0.964

Team Stats
Goals For 256 3.12 GFG	Shots For 2778 33.88 Avg	Power Play Percentage 18.3% 47 GF	Offensive Zone Start 40.0%
Goals Against 251 3.06 GAA	Shots Against 2831 34.52 Avg	Penalty Kill Percentage 80.4%% 61 GA	Defensive Zone Start 42.4%

Team Info
	General Manager	Justin Roux
	Coach	Dan Watson
	Division	Atlantic Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	5,000
	Attendance	4,654
	Season Tickets	3,750
Roster Info
	Pro Team	26
	Farm Team	19
	Contract Limit	45 / 70
	Prospects	25

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	Rory Kerins	X				100.00	61	35	93	68	65	85	83	67	69	66	65	64	68	63	65	0	40	65	0	24	2	925,000$
2	Joel Teasdale	X	X			100.00	68	39	82	59	77	78	84	58	60	55	56	57	54	66	68	0	40	61	0	27	4	925,000$
3	Josh Dunne	X				100.00	78	42	74	58	89	79	77	59	64	57	56	55	58	67	69	0	40	61	0	27	4	925,000$
4	Josh Lopina	X		X		100.00	70	39	89	58	79	66	84	57	61	55	56	59	57	64	66	0	40	61	0	25	3	925,000$
5	Dylan Wendt			X		100.00	67	37	95	59	76	69	62	57	55	58	56	54	59	64	66	0	40	60	0	25	3	925,000$
6	Lleyton Roed		X			100.00	61	37	89	58	70	82	71	57	61	59	59	56	58	63	65	0	40	60	0	24	3	925,000$
7	Riley Fiddler-Schultz	X				100.00	65	39	87	58	74	80	70	57	62	56	59	55	57	63	65	0	40	60	0	24	3	925,000$
8	Maros Jedlicka	X				100.00	70	38	93	55	79	63	62	54	61	53	57	56	60	63	65	0	40	59	0	23	3	925,000$
9	Gleb Veremyev	X				100.00	78	43	73	55	87	71	60	54	59	53	50	57	51	62	64	0	40	58	0	23	3	925,000$
10	Sahil Panwar		X			100.00	59	38	81	56	72	74	68	54	52	55	55	53	56	63	65	0	40	58	0	24	3	925,000$
11	Ryan Gagnier	X				100.00	55	37	92	54	72	71	64	52	57	53	55	51	54	63	65	0	40	57	0	24	3	925,000$
12	Trevor Janicke (R)	X				100.00	56	36	95	54	69	63	61	53	58	52	50	51	55	65	67	0	40	57	0	25	3	925,000$
13	Braeden Kressler	X				100.00	57	38	75	55	63	81	61	53	61	54	50	52	55	62	64	0	40	56	0	23	3	925,000$
14	Isaak Phillips				X	100.00	74	41	73	63	84	83	85	62	30	65	59	64	50	63	66	0	40	64	0	24	2	925,000$
15	Jack Matier				X	100.00	84	41	90	53	93	64	70	52	30	54	51	59	45	62	64	0	40	60	0	23	2	925,000$
16	Isaac Belliveau				X	100.00	68	41	79	55	77	66	63	54	30	56	52	57	46	63	65	0	40	58	0	23	3	925,000$
17	Jackson Edward				X	100.00	70	39	86	54	79	63	65	53	30	56	52	55	45	61	63	0	40	58	0	22	3	926,000$
18	Joseph Arntsen				X	100.00	76	43	71	53	85	66	60	52	30	50	55	54	46	62	64	0	40	58	0	23	3	925,000$
19	Cam McDonald				X	100.00	55	37	84	54	64	62	63	53	30	52	50	55	45	64	66	0	40	56	0	25	3	925,000$
Scratches
1	Antonio Stranges	X				100.00	57	37	89	65	66	91	80	63	64	62	61	64	66	63	65	0	40	63	0	24	1	925,000$
2	Jake Lucchini (R)	X				100.00	61	38	84	63	70	81	87	62	68	60	61	64	62	70	72	0	40	63	0	31	3	925,000$
3	Ben King	X				100.00	74	41	82	59	83	75	83	58	64	57	59	60	56	63	65	0	40	62	0	24	2	925,000$

	TEAM AVERAGE					100.00	67	39	84	58	76	73	71	56	53	56	56	57	55	64	66	0	40	60

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	Daniil Tarasov	100.00	84	80	76	92	83	82	84	83	82	84	83	66	75	0	40	71	0	27	4	1,050,000$
2	Kaapo Kahkonen	100.00	79	85	80	84	78	77	79	78	77	79	78	71	83	0	40	68	0	30	3	1,400,000$
Scratches
1	Adam Scheel	100.00	74	81	77	82	73	72	74	73	72	74	73	66	75	0	40	66	0	27	3	1,499,999$
2	Connor Hughes	100.00	74	76	71	93	73	72	74	73	72	74	73	69	83	0	40	66	0	29	3	1,000,000$

	TEAM AVERAGE	100.00	78	81	76	88	77	76	78	77	76	78	77	68	79	0	40	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Watson	62	71	67	74	69	65	81	CAN	45	3	500,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ben King	Marlies (TOR)	C	76	33	38	71	13	28	0	169	218	269	101	189	12.27%	29	1746	22.98	8	12	20	39	199	2	0	2	8	300	6	0	50.60%	1990	0	2	0.81	1	4	0	0	0	6	4	6
2	Joel Teasdale	Marlies (TOR)	C/LW	82	31	31	62	9	24	0	88	152	304	62	208	10.20%	28	1611	19.65	4	8	12	56	209	3	1	4	11	149	5	1	58.67%	150	0	1	0.77	1	2	0	0	0	6	0	4
3	Josh Lopina	Marlies (TOR)	C/RW	82	23	39	62	9	24	0	115	148	209	60	173	11.00%	20	1702	20.76	4	9	13	42	215	0	1	1	6	149	4	0	47.91%	478	0	0	0.73	0	1	0	0	0	2	5	4
4	Josh Dunne	Marlies (TOR)	C	82	30	30	60	6	116	10	248	219	235	70	151	12.77%	14	1582	19.30	9	7	16	49	192	1	1	2	6	128	3	2	51.30%	2115	0	1	0.76	1	3	0	1	1	4	4	7
5	Dylan Wendt	Marlies (TOR)	RW	82	21	32	53	7	8	0	28	133	261	59	174	8.05%	10	1499	18.29	3	9	12	53	205	0	0	0	0	8	2	1	52.00%	125	0	0	0.71	1	2	0	0	0	3	2	2
6	Riley Fiddler-Schultz	Marlies (TOR)	C	82	14	30	44	-10	19	5	113	155	189	58	143	7.41%	10	1176	14.35	0	0	0	0	0	0	0	0	0	0	3	1	47.45%	1277	0	0	0.75	0	0	0	1	0	2	2	0
7	Lleyton Roed	Marlies (TOR)	LW	82	15	25	40	-9	8	0	50	120	216	53	146	6.94%	10	1169	14.26	0	1	1	4	18	0	0	0	2	36	3	1	48.48%	99	0	0	0.68	0	0	0	0	0	1	1	0
8	Maros Jedlicka	Marlies (TOR)	C	78	17	22	39	-8	24	0	109	118	180	38	119	9.44%	12	1209	15.50	0	0	0	0	1	0	0	0	0	0	5	1	47.64%	296	0	0	0.65	0	1	0	0	0	1	1	4
9	Isaac Belliveau	Marlies (TOR)	D	82	6	32	38	8	101	15	178	89	101	29	58	5.94%	102	1690	20.62	4	9	13	47	191	0	0	0	2	215	0	1	0%	0	0	0	0.45	0	0	2	0	0	0	1	2
10	Jake Lucchini	Marlies (TOR)	C	51	16	21	37	5	6	0	31	86	188	56	158	8.51%	13	746	14.63	1	7	8	20	100	0	0	0	0	2	1	0	48.34%	151	0	1	0.99	1	3	0	0	0	3	2	3
11	Milos Kelemen	Maple Leafs	LW	38	12	24	36	5	55	5	95	116	143	39	91	8.39%	14	873	23.00	4	6	10	24	93	0	1	1	2	140	1	2	44.32%	370	0	0	0.82	1	2	0	0	0	3	3	2
12	Jack Matier	Marlies (TOR)	D	82	9	25	34	16	64	0	162	73	117	33	65	7.69%	146	1899	23.16	6	3	9	57	217	0	0	0	3	248	1	0	0%	0	1	0	0.36	0	0	0	0	0	2	1	2
13	Jackson Edward	Marlies (TOR)	D	82	2	30	32	2	70	0	150	73	69	23	68	2.90%	104	1715	20.92	1	5	6	26	198	0	1	1	1	226	0	0	100.00%	1	0	0	0.37	0	0	0	0	0	0	1	2
14	Joseph Arntsen	Marlies (TOR)	D	82	3	25	28	13	87	15	184	64	80	30	53	3.75%	117	1883	22.97	0	1	1	36	210	0	2	2	1	245	2	0	0%	0	0	0	0.30	0	0	0	0	3	1	0	1
15	Cam McDonald	Marlies (TOR)	D	82	6	17	23	-6	30	0	88	64	57	14	43	10.53%	79	1390	16.96	1	0	1	8	21	0	0	0	0	118	1	2	0%	0	0	0	0.33	0	0	0	0	0	1	0	2
16	Sahil Panwar	Marlies (TOR)	LW	71	3	10	13	-2	50	0	111	62	55	13	23	5.45%	62	1092	15.39	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0.24	0	0	0	0	0	0	1	2
17	Gleb Veremyev	Marlies (TOR)	C	78	5	6	11	4	24	10	26	17	33	13	38	15.15%	2	350	4.49	1	3	4	7	46	0	0	0	0	22	2	1	48.00%	100	0	0	0.63	0	0	0	2	0	0	1	0
18	Isaak Phillips	Marlies (TOR)	D	5	2	5	7	5	2	0	9	10	18	6	16	11.11%	8	114	22.80	1	2	3	12	16	0	0	0	0	5	0	0	0%	0	0	0	1.23	0	0	0	0	0	1	0	0
19	Antonio Stranges	Marlies (TOR)	C	5	3	0	3	3	0	0	1	8	14	3	4	21.43%	2	47	9.52	0	0	0	0	1	0	0	0	0	1	1	0	51.85%	54	0	0	1.26	0	0	0	0	0	0	1	0
20	Josiah Slavin	Maple Leafs	LW	4	0	3	3	3	0	0	10	12	16	3	14	0%	0	71	17.93	0	0	0	0	0	0	0	0	0	0	0	0	16.67%	6	0	0	0.84	0	0	0	0	0	0	1	0
21	Rory Kerins	Marlies (TOR)	C	4	0	3	3	3	2	0	3	11	11	4	18	0%	2	72	18.07	0	0	0	0	0	0	0	0	0	0	0	0	60.00%	105	0	0	0.83	0	0	0	0	0	0	0	1
22	Ryan Gagnier	Marlies (TOR)	C	71	1	1	2	2	0	0	2	21	3	0	2	33.33%	0	121	1.70	0	0	0	0	0	0	1	1	2	111	0	1	52.80%	125	0	0	0.33	0	0	0	0	0	0	0	1
23	Trevor Janicke	Marlies (TOR)	C	71	0	2	2	4	0	0	1	2	4	0	0	0%	0	36	0.52	0	0	0	2	9	0	0	0	0	0	0	0	50.00%	14	0	0	1.08	0	0	0	0	0	0	0	0
24	Braeden Kressler	Marlies (TOR)	C	25	0	1	1	-1	2	0	2	3	2	0	2	0%	1	31	1.26	0	1	1	1	6	0	0	0	1	17	0	0	62.50%	8	0	0	0.64	0	0	0	0	0	0	0	0
Team Total or Average				1479	252	452	704	81	744	60	1973	1974	2774	767	1956	9.08%	785	23836	16.12	47	83	130	483	2157	6	8	14	45	2130	40	14	49.91%	7466	1	5	0.59	6	18	2	4	4	36	31	45

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	PS %	PSA	ST	BG	S1	S2	S3
1	Daniil Tarasov	Marlies (TOR)	82	42	34	4	0.909	3.12	4708	4	2	245	2694	0.889	18	82	0	5	10	2
2	Kaapo Kahkonen	Marlies (TOR)	8	2	0	0	0.964	1.22	246	0	0	5	137	0	0	0	82	0	0	0
Team Total or Average			90	44	34	4	0.912	3.03	4955	4	2	250	2831		18	82	82	5	10	2

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	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
Adam Scheel	Marlies (TOR)	G	27	1999-05-01	USA	No	192 Lbs	191 CM	No	No	Free Agent	2024-10-24	No	Yes	3	2025-07-19	False	False	Pro & Farm	1,499,999$	0$	0$	No	1,499,999$	1,499,999$	-	-	-	-	-	-	-	1,499,999$	1,499,999$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Antonio Stranges	Marlies (TOR)	C	24	2002-02-05	USA	No	168 Lbs	180 CM	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ben King	Marlies (TOR)	C	24	2002-05-15	CAN	No	200 Lbs	191 CM	No	No	Prospect		No	No	2	2024-05-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Braeden Kressler	Marlies (TOR)	C	23	2003-01-05	CAN	No	169 Lbs	175 CM	No	No	Free Agent		No	No	3	2025-07-26	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Cam McDonald	Marlies (TOR)	D	25	2001-02-03	USA	No	174 Lbs	175 CM	No	No	Free Agent		No	No	3	2025-07-26	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Connor Hughes	Marlies (TOR)	G	29	1996-09-10	CHE	No	233 Lbs	193 CM	No	No	Free Agent		Yes	Yes	3	2025-07-13	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Daniil Tarasov	Marlies (TOR)	G	27	1999-03-27	RUS	No	203 Lbs	196 CM	No	No	N/A		No	No	4	2024-06-23	False	False	Pro & Farm	1,050,000$	0$	0$	No	1,050,000$	1,050,000$	1,050,000$	-	-	-	-	-	-	1,050,000$	1,050,000$	1,050,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Dylan Wendt	Marlies (TOR)	RW	25	2001-01-09	USA	No	195 Lbs	185 CM	No	No	Free Agent		No	No	3	2025-07-26	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Gleb Veremyev	Marlies (TOR)	C	23	2003-06-28	USA	No	205 Lbs	193 CM	No	No	Free Agent		No	No	3	2025-07-19	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Isaac Belliveau	Marlies (TOR)	D	23	2002-11-26	CAN	No	185 Lbs	188 CM	No	No	Free Agent		No	No	3	2025-07-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Isaak Phillips	Marlies (TOR)	D	24	2001-09-28	CAN	No	205 Lbs	191 CM	No	No	N/A		No	No	2	2024-06-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Matier	Marlies (TOR)	D	23	2003-04-08	CAN	No	205 Lbs	198 CM	No	No	Prospect		No	No	2	2024-05-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jackson Edward	Marlies (TOR)	D	22	2004-02-27	CAN	No	193 Lbs	188 CM	No	No	Free Agent		No	No	3	2025-07-13	False	False	Pro & Farm	926,000$	0$	0$	No	926,000$	926,000$	-	-	-	-	-	-	-	926,000$	926,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jake Lucchini	Marlies (TOR)	C	31	1995-05-09	CAN	Yes	180 Lbs	183 CM	No	No	Draft		No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Joel Teasdale	Marlies (TOR)	C/LW	27	1999-03-11	CAN	No	212 Lbs	183 CM	No	No	Assign Manually		No	No	4	2024-07-22	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	925,000$	-	-	-	-	-	-	925,000$	925,000$	925,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Joseph Arntsen	Marlies (TOR)	D	23	2003-05-22	CAN	No	210 Lbs	191 CM	No	No	Free Agent		No	No	3	2025-07-26	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Josh Dunne	Marlies (TOR)	C	27	1998-12-08	USA	No	211 Lbs	193 CM	No	No	Assign Manually		No	No	4	2024-07-22	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	925,000$	-	-	-	-	-	-	925,000$	925,000$	925,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Josh Lopina	Marlies (TOR)	C/RW	25	2001-02-16	USA	No	195 Lbs	188 CM	No	No	Free Agent		No	No	3	2025-07-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Kaapo Kahkonen	Marlies (TOR)	G	30	1996-08-16	FIN	No	217 Lbs	188 CM	No	No	Free Agent		Yes	Yes	3	2025-07-13	False	False	Pro & Farm	1,400,000$	0$	0$	No	1,400,000$	1,400,000$	-	-	-	-	-	-	-	1,400,000$	1,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Lleyton Roed	Marlies (TOR)	LW	24	2002-08-08	USA	No	179 Lbs	183 CM	No	No	Free Agent		No	No	3	2025-07-19	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Maros Jedlicka	Marlies (TOR)	C	23	2002-10-23	SVK	No	194 Lbs	188 CM	No	No	Free Agent		No	No	3	2025-07-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Riley Fiddler-Schultz	Marlies (TOR)	C	24	2002-05-13	CAN	No	200 Lbs	183 CM	No	No	Free Agent		No	No	3	2025-07-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Rory Kerins	Marlies (TOR)	C	24	2002-04-12	CAN	No	175 Lbs	178 CM	No	No	Prospect		No	No	2	2024-05-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Gagnier	Marlies (TOR)	C	24	2002-07-16	CAN	No	187 Lbs	183 CM	No	No	Free Agent		No	No	3	2025-07-26	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Sahil Panwar	Marlies (TOR)	LW	24	2002-01-26	CAN	No	189 Lbs	183 CM	No	No	Free Agent		No	No	3	2025-07-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Trevor Janicke	Marlies (TOR)	C	25	2000-12-25	USA	Yes	193 Lbs	178 CM	No	No	Prospect		No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	25.00	195 Lbs	185 CM	2.88	973,115$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Gleb Veremyev		Josh Lopina	40	1	2	2
2	Joel Teasdale	Josh Dunne	Dylan Wendt	30	1	2	2
3	Lleyton Roed	Riley Fiddler-Schultz	Maros Jedlicka	20	1	2	2
4		Maros Jedlicka		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Matier	Joseph Arntsen	40	1	2	2
2	Jackson Edward	Isaac Belliveau	30	1	2	2
3	Cam McDonald		20	1	2	2
4	Jack Matier	Joseph Arntsen	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Gleb Veremyev		Josh Lopina	60	1	2	2
2	Joel Teasdale	Josh Dunne	Dylan Wendt	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Matier	Joseph Arntsen	60	1	2	2
2	Jackson Edward	Isaac Belliveau	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Josh Lopina		60	1	2	2
2	Josh Dunne	Joel Teasdale	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Matier	Joseph Arntsen	60	1	2	2
2	Jackson Edward	Isaac Belliveau	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Josh Dunne	60	1	2	2	Jack Matier	Joseph Arntsen	60	1	2	2
2		40	1	2	2	Jackson Edward	Isaac Belliveau	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Josh Lopina		60	1	2	2
2	Josh Dunne	Joel Teasdale	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Matier	Joseph Arntsen	60	1	2	2
2	Jackson Edward	Isaac Belliveau	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Josh Dunne		Josh Lopina	Jack Matier	Joseph Arntsen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Josh Dunne		Josh Lopina	Jack Matier	Joseph Arntsen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Gleb Veremyev, , Josh Dunne	Gleb Veremyev,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Cam McDonald, Jackson Edward, Isaac Belliveau	Cam McDonald	Jackson Edward, Isaac Belliveau

Penalty Shots
Dylan Wendt, , Josh Dunne, Joel Teasdale, Josh Lopina

Goalie
#1 : Daniil Tarasov, #2 : Kaapo Kahkonen

Custom OT Lines Forwards
, Joel Teasdale, Josh Dunne, Josh Lopina, , Dylan Wendt, Maros Jedlicka, Lleyton Roed, Gleb Veremyev, Riley Fiddler-Schultz

Custom OT Lines Defensemen
Jack Matier, Joseph Arntsen, Isaac Belliveau, Jackson Edward, Cam McDonald

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	Admirals	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	6	11	17	0	0	83	80	86	9	68	898	950	901	47	70	22	19	52	11	1	9.09%	6	2	66.67%	1	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
2	Americans	4	2	2	0	0	0	0	0	14	13	1	2	1	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	7	7	0	4	0.500	14	24	38	0	0	83	80	86	9	117	898	950	901	47	147	41	51	104	13	5	38.46%	15	3	80.00%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
3	Barracuda	2	0	1	0	1	0	0	0	4	4	0	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	1	0	0	0	1	0	1	2	0.500	4	7	11	0	1	83	80	86	9	74	898	950	901	47	68	26	16	54	6	0	0.00%	7	0	100.00%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
4	Bears	3	0	1	0	0	0	2	0	10	13	-3	1	0	0	0	0	0	1	0	5	4	1	2	0	1	0	0	0	1	0	5	9	-4	4	0.667	10	14	24	0	0	83	80	86	9	78	898	950	901	47	129	35	29	69	3	0	0.00%	11	3	72.73%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
5	Bruins	3	1	1	0	0	1	0	0	7	9	-2	1	1	0	0	0	0	0	0	3	2	1	2	0	1	0	0	1	0	0	4	7	-3	3	0.500	7	11	18	0	0	83	80	86	9	110	898	950	901	47	101	35	24	64	6	1	16.67%	12	0	100.00%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
6	Canucks	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	83	80	86	9	71	898	950	901	47	73	17	14	51	6	1	16.67%	7	2	71.43%	1	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
7	Checkers	4	3	0	0	0	1	0	0	19	12	7	2	2	0	0	0	0	0	0	11	7	4	2	1	0	0	0	1	0	0	8	5	3	7	0.875	19	35	54	0	0	83	80	86	9	188	898	950	901	47	110	26	33	95	9	3	33.33%	14	2	85.71%	2	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
8	Comets	3	1	2	0	0	0	0	0	6	7	-1	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	0	2	-2	2	0.333	6	12	18	0	0	83	80	86	9	103	898	950	901	47	91	36	27	59	13	0	0.00%	10	2	80.00%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
9	Condors	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	6	11	17	0	0	83	80	86	9	63	898	950	901	47	70	21	10	48	10	2	20.00%	5	1	80.00%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
10	Crunch	3	2	1	0	0	0	0	0	9	6	3	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	4	1	3	4	0.667	9	17	26	0	0	83	80	86	9	119	898	950	901	47	97	28	30	74	8	0	0.00%	14	1	92.86%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
11	Eagles	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	6	12	18	0	0	83	80	86	9	57	898	950	901	47	56	17	14	35	6	3	50.00%	7	1	85.71%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
12	Firebirds	2	1	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	14	21	0	0	83	80	86	9	73	898	950	901	47	50	15	12	42	7	1	14.29%	6	2	66.67%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
13	Griffins	4	4	0	0	0	0	0	0	21	7	14	2	2	0	0	0	0	0	0	13	5	8	2	2	0	0	0	0	0	0	8	2	6	8	1.000	21	39	60	0	0	83	80	86	9	147	898	950	901	47	114	26	24	87	15	4	26.67%	12	3	75.00%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
14	Gulls	2	0	2	0	0	0	0	0	4	14	-10	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	4	7	11	0	0	83	80	86	9	62	898	950	901	47	81	30	22	52	7	1	14.29%	10	1	90.00%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
15	Heat	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	3	1	4	1.000	10	19	29	0	0	83	80	86	9	67	898	950	901	47	76	27	12	40	5	2	40.00%	6	1	83.33%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
16	IceHogs	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	3	2	1	4	1.000	8	14	22	0	0	83	80	86	9	64	898	950	901	47	79	15	24	48	4	2	50.00%	12	1	91.67%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
17	Monsters	3	0	3	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	3	4	-1	2	0	2	0	0	0	0	0	1	7	-6	0	0.000	4	7	11	0	0	83	80	86	9	70	898	950	901	47	95	28	26	59	10	1	10.00%	12	2	83.33%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
18	Moose	2	1	0	0	0	1	0	0	10	8	2	1	1	0	0	0	0	0	0	9	6	3	1	0	0	0	0	1	0	0	1	2	-1	3	0.750	10	19	29	0	0	83	80	86	9	67	898	950	901	47	58	26	18	65	5	3	60.00%	9	3	66.67%	1	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
19	Penguins	3	0	2	0	0	0	1	0	10	11	-1	2	0	1	0	0	0	1	0	9	9	0	1	0	1	0	0	0	0	0	1	2	-1	2	0.333	10	14	24	0	0	83	80	86	9	113	898	950	901	47	102	28	43	56	10	4	40.00%	14	4	71.43%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
20	Phantoms	3	2	0	0	1	0	0	0	8	3	5	1	1	0	0	0	0	0	0	3	0	3	2	1	0	0	1	0	0	0	5	3	2	6	1.000	8	15	23	0	1	83	80	86	9	89	898	950	901	47	92	27	24	69	13	0	0.00%	12	1	91.67%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
21	Reign	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	12	19	0	0	83	80	86	9	60	898	950	901	47	59	13	17	53	8	1	12.50%	6	2	66.67%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
22	Roadrunners	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	11	17	0	0	83	80	86	9	56	898	950	901	47	96	26	23	54	7	1	14.29%	9	3	66.67%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
23	Rocket	4	2	1	0	0	0	0	1	14	11	3	2	2	0	0	0	0	0	0	9	3	6	2	0	1	0	0	0	0	1	5	8	-3	5	0.625	14	24	38	0	0	83	80	86	9	149	898	950	901	47	126	35	30	105	13	0	0.00%	15	1	93.33%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
24	Senators	4	2	2	0	0	0	0	0	13	16	-3	2	1	1	0	0	0	0	0	7	8	-1	2	1	1	0	0	0	0	0	6	8	-2	4	0.500	13	22	35	0	0	83	80	86	9	161	898	950	901	47	175	38	59	113	16	3	18.75%	11	4	63.64%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
25	Silver Knights	2	0	1	0	1	0	0	0	5	9	-4	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	0	5	-5	2	0.500	5	9	14	0	0	83	80	86	9	72	898	950	901	47	75	17	16	55	1	1	100.00%	7	1	85.71%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
26	Sound Tigers	3	2	0	0	0	0	1	0	12	8	4	1	0	0	0	0	0	1	0	4	3	1	2	2	0	0	0	0	0	0	8	5	3	6	1.000	12	20	32	0	0	83	80	86	9	104	898	950	901	47	94	23	20	73	13	2	15.38%	10	3	70.00%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
27	Stars	2	1	1	0	0	0	0	0	4	4	0	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	8	12	0	0	83	80	86	9	46	898	950	901	47	71	21	14	52	3	0	0.00%	7	2	71.43%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
28	Thunderbirds	2	1	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	3	6	9	0	0	83	80	86	9	47	898	950	901	47	83	27	12	52	6	1	16.67%	6	2	66.67%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
29	Wild	2	0	2	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	5	9	14	0	0	83	80	86	9	74	898	950	901	47	76	13	21	59	5	0	0.00%	7	2	71.43%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
30	Wolf Pack	3	1	2	0	0	0	0	0	7	12	-5	2	1	1	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	1	3	-2	2	0.333	7	12	19	0	0	83	80	86	9	97	898	950	901	47	91	27	34	68	9	3	33.33%	17	2	88.24%	0	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
31	Wolves	3	1	2	0	0	0	0	0	8	12	-4	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	2	5	-3	2	0.333	8	13	21	0	0	83	80	86	9	112	898	950	901	47	126	20	32	67	9	1	11.11%	16	4	75.00%	1	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
	Total	82	37	34	0	3	3	4	1	256	251	5	41	23	14	0	1	0	3	0	157	129	28	41	14	20	0	2	3	1	1	99	122	-23	92	0.561	256	453	709	0	2	83	80	86	9	2778	898	950	901	47	2831	786	750	1974	257	47	18.29%	312	61	80.45%	6	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
	_Since Last GM Reset	82	37	34	0	3	3	4	1	256	251	5	41	23	14	0	1	0	3	0	157	129	28	41	14	20	0	2	3	1	1	99	122	-23	92	0.561	256	453	709	0	2	83	80	86	9	2778	898	950	901	47	2831	786	750	1974	257	47	18.29%	312	61	80.45%	6	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
	_Vs Conference	50	23	19	0	1	2	4	1	162	151	11	25	14	8	0	0	0	3	0	97	77	20	25	9	11	0	1	2	1	1	65	74	-9	59	0.590	162	279	441	0	1	83	80	86	9	1757	898	950	901	47	1690	453	486	1162	160	27	16.88%	195	35	82.05%	3	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517
	_Vs Division	26	16	7	0	0	2	0	1	97	74	23	13	10	3	0	0	0	0	0	55	36	19	13	6	4	0	0	2	0	1	42	38	4	35	0.673	97	172	269	0	0	83	80	86	9	991	898	950	901	47	870	229	251	642	80	16	20.00%	93	14	84.95%	2	1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%	1859	1263	2034	621	1066	517

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	92	W5	256	453	709	2778	2831	786	750	1974	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	37	34	3	3	4	1	256	251

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	23	14	1	0	3	0	157	129

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	14	20	2	3	1	1	99	122

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
257	47	18.29%	312	61	80.45%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
898	950	901	47	83	80	86	9

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1514	2977	50.86%	1557	3162	49.24%	668	1312	50.91%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1859	1263	2034	621	1066	517

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
2 - 2025-09-27	4	Rocket	1	Marlies	4	W			Box score
5 - 2025-09-30	25	Marlies	4	Griffins	1	W			Box score
7 - 2025-10-02	43	Griffins	4	Marlies	7	W			Box score
8 - 2025-10-03	49	Admirals	1	Marlies	2	W			Box score
10 - 2025-10-05	61	Wolf Pack	6	Marlies	2	L			Box score
12 - 2025-10-07	79	Firebirds	2	Marlies	5	W			Box score
15 - 2025-10-10	98	Comets	3	Marlies	2	L			Box score
18 - 2025-10-13	123	Marlies	5	Americans	3	W			Box score
19 - 2025-10-14	132	Americans	5	Marlies	3	L			Box score
22 - 2025-10-17	151	Heat	3	Marlies	6	W			Box score
23 - 2025-10-18	166	Marlies	1	Monsters	2	L			Box score
26 - 2025-10-21	188	Marlies	3	Phantoms	2	W			Box score
28 - 2025-10-23	199	Penguins	5	Marlies	4	L			Box score
30 - 2025-10-25	213	Roadrunners	3	Marlies	4	W			Box score
33 - 2025-10-28	234	Bruins	2	Marlies	3	W			Box score
34 - 2025-10-29	246	Wolves	1	Marlies	3	W			Box score
36 - 2025-10-31	256	Marlies	3	Bruins	5	L			Box score
38 - 2025-11-02	269	Reign	3	Marlies	4	W			Box score
40 - 2025-11-04	291	Marlies	3	IceHogs	2	W			Box score
43 - 2025-11-07	307	Thunderbirds	1	Marlies	3	W			Box score
45 - 2025-11-09	319	Monsters	4	Marlies	3	L			Box score
47 - 2025-11-11	337	Marlies	2	Rocket	4	L			Box score
51 - 2025-11-15	369	Marlies	0	Monsters	5	L			Box score
53 - 2025-11-17	386	Marlies	0	Bears	5	L			Box score
54 - 2025-11-18	396	Marlies	1	Penguins	2	L			Box score
57 - 2025-11-21	413	Marlies	2	Checkers	3	L	X		Box score
59 - 2025-11-23	431	Marlies	2	Wolves	5	L			Box score
61 - 2025-11-25	444	Rocket	2	Marlies	5	W			Box score
63 - 2025-11-27	461	Crunch	4	Marlies	2	L			Box score
66 - 2025-11-30	480	Barracuda	4	Marlies	3	L			Box score
68 - 2025-12-02	499	Condors	3	Marlies	2	L			Box score
71 - 2025-12-05	520	IceHogs	1	Marlies	5	W			Box score
73 - 2025-12-07	539	Marlies	5	Bears	4	W	X	X	Box score
75 - 2025-12-09	558	Marlies	4	Admirals	2	W			Box score
76 - 2025-12-10	568	Marlies	1	Stars	2	L			Box score
78 - 2025-12-12	575	Penguins	4	Marlies	5	W	X	X	Box score
82 - 2025-12-16	590	Senators	3	Marlies	4	W			Box score
83 - 2025-12-17	601	Marlies	4	Griffins	1	W			Box score
85 - 2025-12-19	617	Comets	2	Marlies	4	W			Box score
87 - 2025-12-21	634	Moose	6	Marlies	9	W			Box score
89 - 2025-12-23	651	Marlies	3	Sound Tigers	2	W			Box score
92 - 2025-12-26	672	Checkers	3	Marlies	6	W			Box score
94 - 2025-12-28	686	Marlies	2	Phantoms	1	W	X		Box score
96 - 2025-12-30	702	Canucks	4	Marlies	3	L			Box score
98 - 2026-01-01	723	Marlies	4	Eagles	3	W			Box score
99 - 2026-01-02	733	Marlies	2	Roadrunners	4	L			Box score
101 - 2026-01-04	748	Marlies	0	Silver Knights	5	L			Box score
103 - 2026-01-06	762	Marlies	1	Moose	2	L	X		Box score
105 - 2026-01-08	774	Wild	4	Marlies	3	L			Box score
107 - 2026-01-10	788	Griffins	1	Marlies	6	W			Box score
109 - 2026-01-12	802	Silver Knights	4	Marlies	5	W	X		Box score
111 - 2026-01-14	819	Eagles	3	Marlies	2	L			Box score
113 - 2026-01-16	831	Americans	1	Marlies	4	W			Box score
115 - 2026-01-18	857	Marlies	2	Firebirds	3	L			Box score
117 - 2026-01-20	869	Marlies	0	Canucks	2	L			Box score
119 - 2026-01-22	885	Marlies	4	Heat	3	W			Box score
120 - 2026-01-23	891	Marlies	4	Condors	3	W			Box score
142 - 2026-02-14	912	Marlies	4	Crunch	1	W			Box score
143 - 2026-02-15	921	Marlies	6	Checkers	2	W			Box score
145 - 2026-02-17	939	Senators	5	Marlies	3	L			Box score
147 - 2026-02-19	954	Phantoms	0	Marlies	3	W			Box score
149 - 2026-02-21	971	Marlies	0	Comets	2	L			Box score
150 - 2026-02-22	975	Marlies	1	Wolf Pack	3	L			Box score
152 - 2026-02-24	994	Crunch	1	Marlies	3	W			Box score
155 - 2026-02-27	1014	Marlies	3	Rocket	4	L	X	X	Box score
157 - 2026-03-01	1029	Gulls	8	Marlies	1	L			Box score
159 - 2026-03-03	1047	Marlies	2	Americans	4	L			Box score
160 - 2026-03-04	1060	Marlies	2	Wild	3	L			Box score
162 - 2026-03-06	1068	Sound Tigers	3	Marlies	4	W	X	X	Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
165 - 2026-03-09	1094	Wolves	6	Marlies	3	L			Box score
166 - 2026-03-10	1106	Marlies	3	Senators	6	L			Box score
169 - 2026-03-13	1120	Marlies	1	Bruins	2	L	X		Box score
170 - 2026-03-14	1136	Wolf Pack	3	Marlies	4	W			Box score
173 - 2026-03-17	1160	Marlies	0	Thunderbirds	3	L			Box score
175 - 2026-03-19	1176	Marlies	3	Gulls	6	L			Box score
178 - 2026-03-22	1202	Marlies	1	Barracuda	0	W	X		Box score
180 - 2026-03-24	1217	Marlies	3	Reign	5	L			Box score
184 - 2026-03-28	1245	Bears	4	Marlies	5	W	X	X	Box score
185 - 2026-03-29	1252	Marlies	5	Sound Tigers	3	W			Box score
187 - 2026-03-31	1270	Checkers	4	Marlies	5	W			Box score
189 - 2026-04-02	1285	Stars	2	Marlies	3	W			Box score
191 - 2026-04-04	1304	Marlies	3	Senators	2	W			Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	25	15
Attendance	114,154	76,661
Attendance PCT	92.81%	93.49%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	4654 - 93.08%	142,573$	5,845,495$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
2,938,990$	2,530,100$	2,530,100$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	2,439,068$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	15,700$	0$

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

Marlies Goalies Stat Leaders (Regular Season)

Show or Hide Columns

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

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

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

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

	Marlies
	GP: 82 \| W: 44 \| L: 34 \| OTL: 4 \| P: 92 GF: 256 \| GA: 251 \| PP%: 18.29% \| PK%: 80.45% GM : Justin Roux \| Morale : 40 \| Team Overall : 61