Columbus Blue Jackets
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Cleveland Monsters 31-23-3, 65pts	5	FINAL	4	Manitoba Moose 23-28-4, 50pts

Team Stats
W3	Streak	W1
16-11-1	Home Record	13-12-3
15-12-2	Home Record	10-16-1
5-5-0	Last 10 Games	3-7-0
4.77	Goals Per Game	4.16
4.82	Goals Against Per Game	4.56
25.16%	Power Play Percentage	24.64%
65.07%	Penalty Kill Percentage	68.14%

Utica Comets
22-28-6, 50pts

FINAL

Cleveland Monsters
31-23-3, 65pts

Team Stats
L2	Streak	W3
15-10-4	Home Record	16-11-1
7-18-2	Home Record	15-12-2
2-7-1	Last 10 Games	5-5-0
3.54	Goals Per Game	4.77
4.39	Goals Against Per Game	4.82
22.58%	Power Play Percentage	25.16%
70.63%	Penalty Kill Percentage	65.07%

Toronto Marlies
35-14-5, 75pts

2026-02-25

Cleveland Monsters
31-23-3, 65pts

Team Stats
L1	Streak	W3
19-7-3	Home Record	16-11-1
16-7-2	Away Record	15-12-2
8-1-1	Last 10 Games	5-5-0
4.28	Goals Per Game	4.77
3.52	Goals Against Per Game	4.77
37.35%	Power Play Percentage	25.16%
76.92%	Penalty Kill Percentage	65.07%

Cleveland Monsters
31-23-3, 65pts

2026-03-01

Providence Bruins
33-19-5, 71pts

Team Stats
W3	Streak	L1
16-11-1	Home Record	18-9-1
15-12-2	Away Record	15-10-4
5-5-0	Last 10 Games	5-3-2
4.77	Goals Per Game	4.37
4.82	Goals Against Per Game	4.37
25.16%	Power Play Percentage	26.06%
65.07%	Penalty Kill Percentage	75.33%

San Diego Gulls
27-23-6, 60pts

2026-03-02

Cleveland Monsters
31-23-3, 65pts

Team Stats
W1	Streak	W3
15-8-5	Home Record	16-11-1
12-15-1	Away Record	15-12-2
4-4-2	Last 10 Games	5-5-0
4.18	Goals Per Game	4.77
4.59	Goals Against Per Game	4.77
30.28%	Power Play Percentage	25.16%
70.66%	Penalty Kill Percentage	65.07%

Team Leaders
	Goals Danil Gushchin 31	Assists Kevin Connauton 65

	Points Kevin Connauton 77	Plus/Minus Danil Gushchin 8

Team Stats
Goals For 272 4.77 GFG	Shots For 2452 43.02 Avg	Power Play Percentage 25.2% 39 GF	Offensive Zone Start 41.3%
Goals Against 275 4.82 GAA	Shots Against 2220 38.95 Avg	Penalty Kill Percentage 65.1%% 51 GA	Defensive Zone Start 38.0%

Team Info
	General Manager	Patrick Labonté
	Coach	Gino Odjick
	Division	North Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	9,000
	Attendance	8,598
	Season Tickets	8,370
Roster Info
	Pro Team	23
	Farm Team	20
	Contract Limit	43 / 60
	Prospects	8

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	Arttu Hyry			X		100.00	64	41	68	62	64	63	62	63	56	61	61	64	62	51	50	0	50	62	0	24	1	870,000$
2	Fabian Lysell			X		100.00	61	43	66	71	61	62	60	64	44	64	57	62	64	50	50	0	50	62	0	23	1	863,333$
3	Danil Gushchin		X			100.00	54	42	70	67	60	64	63	67	45	64	63	51	66	51	50	0	50	61	0	23	1	775,000$
4	Rodrigo Abols	X				100.00	64	40	74	65	75	70	60	62	72	58	58	60	61	51	50	0	50	61	0	30	1	800,000$
5	Tim Washe	X				100.00	56	40	69	66	78	70	59	62	43	59	59	59	62	51	50	0	50	61	0	24	2	812,500$
6	Jan Mysak	X				100.00	57	41	73	65	62	64	62	63	61	59	58	53	62	51	50	0	50	60	0	23	1	775,000$
7	Lane Pederson	X				100.00	59	44	67	65	64	67	63	61	61	57	56	57	61	60	50	0	50	60	0	28	1	775,000$
8	Martin Chromiak			X		100.00	60	41	72	66	63	64	62	64	44	61	59	55	63	50	50	0	50	60	0	23	1	775,000$
9	Gleb Trikozov		X			100.00	61	40	66	60	62	55	53	56	40	54	54	55	57	50	50	0	50	56	0	21	2	862,500$
10	Noel Gunler		X	X		100.00	55	42	61	60	58	60	58	57	42	55	54	52	57	51	50	0	50	56	0	24	1	813,750$
11	Helge Grans				X	100.00	64	43	68	65	68	64	63	63	40	57	57	66	61	51	50	0	50	63	0	23	2	787,500$
12	Kevin Connauton				X	100.00	56	52	60	63	63	71	71	63	40	57	56	64	61	73	66	0	50	63	0	36	1	775,000$
13	Brandon Scanlin				X	100.00	63	44	68	63	70	67	66	63	40	53	59	62	62	54	50	0	50	62	0	26	1	775,000$
14	William Wallinder				X	100.00	63	41	73	65	66	63	62	62	40	60	54	63	60	50	50	0	50	62	0	23	1	925,000$
15	Ryan Mast				X	100.00	68	41	70	60	72	60	57	56	40	52	51	65	56	50	50	0	50	60	0	23	1	830,556$
Scratches
1	Hunter Drew			X		100.00	60	62	51	64	66	66	64	62	42	57	57	56	61	54	50	0	50	59	0	27	0	0$
2	Jack Millar				X	100.00	66	41	68	59	67	63	62	60	40	57	53	65	57	51	50	0	50	61	0	25	0	0$
3	Garrett Pyke				X	100.00	59	40	67	62	62	62	60	57	40	54	53	60	57	52	50	0	50	59	0	26	0	0$
4	Tyler Inamoto				X	100.00	60	40	66	64	64	62	60	53	40	51	50	63	56	54	50	0	50	59	0	26	0	0$
5	Filip Kral				X	100.00	53	42	63	60	60	61	60	59	40	57	54	56	57	52	50	0	50	58	0	26	0	0$

	TEAM AVERAGE					100.00	60	43	67	64	65	64	61	61	46	57	56	59	60	53	51	0	50	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	Clay Stevenson	100.00	73	65	69	66	70	70	72	70	71	71	58	54	50	0	50	64	0	26	2	775,000$
2	Garin Bjorklund	100.00	66	57	57	60	62	63	63	63	63	62	54	51	50	0	50	57	0	23	1	775,000$
Scratches
1	Ethan Haider	100.00	59	57	57	64	59	57	56	54	58	59	54	51	50	0	50	54	0	24	0	0$

	TEAM AVERAGE	100.00	66	60	61	63	64	63	64	62	64	64	55	52	50	0	50	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Gino Odjick	1	1	1	1	1	1	1	CAN	54	5	1$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Kevin Connauton	Cleveland Monsters (CBJ)	D	57	12	65	77	4	28	132	96	134	55	107	8.96%	95	1091	19.14	6	12	18	66	110	2	85	2	0	0%	1	0	0	1.41	0	0	4	5	8
2	Danil Gushchin	Cleveland Monsters (CBJ)	LW	57	31	32	63	8	28	103	138	299	75	200	10.37%	7	1055	18.53	5	4	9	31	115	0	81	3	2	47.59%	290	0	0	1.19	1	2	7	3	4
3	Keaton Middleton	Columbus Blue Jackets	D	33	14	35	49	11	38	126	78	118	23	78	11.86%	74	788	23.91	4	6	10	45	73	0	44	1	0	100.00%	1	0	0	1.24	0	2	5	3	4
4	Martin Chromiak	Cleveland Monsters (CBJ)	RW	57	21	26	47	5	16	59	97	178	53	127	11.80%	14	761	13.36	0	0	0	0	1	1	10	7	0	40.24%	82	0	1	1.23	0	1	5	4	3
5	Rodrigo Abols	Cleveland Monsters (CBJ)	C	57	16	30	46	0	12	73	135	172	50	126	9.30%	15	778	13.67	0	1	1	1	2	0	0	0	0	65.31%	1078	0	0	1.18	0	0	1	6	1
6	Ozzy Wiesblatt	Columbus Blue Jackets	RW	33	22	16	38	8	6	71	68	129	47	99	17.05%	7	491	14.89	8	4	12	29	76	0	0	2	2	51.61%	31	0	2	1.55	1	2	3	4	4
7	Ryan Mast	Cleveland Monsters (CBJ)	D	57	7	27	34	-9	34	120	75	50	15	39	14.00%	71	863	15.14	0	0	0	1	3	0	27	0	1	0%	0	0	0	0.79	0	0	2	1	1
8	Jan Mysak	Cleveland Monsters (CBJ)	C	57	9	21	30	-14	12	35	122	144	40	100	6.25%	7	550	9.65	0	0	0	0	0	0	0	2	0	62.35%	741	0	0	1.09	1	1	0	3	1
9	Arttu Hyry	Cleveland Monsters (CBJ)	RW	9	7	4	11	3	0	15	6	32	7	13	21.88%	2	160	17.87	1	0	1	4	15	0	9	0	1	57.14%	7	1	0	1.37	0	1	1	3	1
10	William Wallinder	Cleveland Monsters (CBJ)	D	18	3	8	11	-4	0	24	15	16	6	13	18.75%	19	322	17.94	0	0	0	1	3	0	2	1	0	0%	0	0	0	0.68	0	0	0	0	3
11	Nikita Novikov	Columbus Blue Jackets	D	7	3	6	9	7	0	15	12	14	2	10	21.43%	10	153	22.00	1	1	2	3	13	0	5	0	0	0%	0	0	0	1.17	0	0	1	1	0
12	Lane Pederson	Cleveland Monsters (CBJ)	C	57	6	1	7	-1	2	14	17	24	4	17	25.00%	4	183	3.22	1	0	1	5	6	0	6	0	1	51.06%	141	0	0	0.76	0	0	0	0	0
13	Tim Washe	Cleveland Monsters (CBJ)	C	7	3	3	6	2	4	9	13	16	9	12	18.75%	0	169	24.24	0	0	0	1	13	0	7	0	0	47.42%	97	0	0	0.71	0	1	0	0	0
14	Fedor Svechkov	Columbus Blue Jackets	C	2	1	1	2	1	0	10	2	7	2	5	14.29%	2	47	23.68	0	0	0	1	5	0	1	0	1	51.67%	60	0	0	0.84	1	1	1	0	0
15	Gleb Trikozov	Cleveland Monsters (CBJ)	LW	12	1	1	2	-2	6	15	5	10	3	8	10.00%	4	253	21.10	0	0	0	0	0	0	1	0	0	39.68%	63	0	0	0.16	0	0	0	0	0
16	Helge Grans	Cleveland Monsters (CBJ)	D	2	1	1	2	1	0	2	2	3	1	3	33.33%	4	42	21.13	0	0	0	1	5	0	2	0	0	0%	0	0	0	0.95	0	0	0	0	0
17	Fabian Lysell	Cleveland Monsters (CBJ)	RW	1	0	0	0	0	0	1	2	0	2	3	0%	0	18	18.20	0	0	0	0	1	0	1	0	0	50.00%	2	0	0	0	0	0	0	0	0
18	Noel Gunler	Cleveland Monsters (CBJ)	LW/RW	2	0	0	0	3	4	5	2	0	0	2	0%	0	36	18.21	0	0	0	0	5	0	0	0	0	66.67%	3	0	0	0	0	0	0	0	0
Team Total or Average				525	157	277	434	23	190	829	885	1346	394	962	11.66%	335	7769	14.80	26	28	54	189	453	3	287	18	8	59.11%	2597	1	3	1.12	4	11	30	33	30

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Cal Petersen	Columbus Blue Jackets	14	8	4	1	0.876	4.12	787	4	0	54	434	0	0	0	0.636	11	14	0	0	1	0
Team Total or Average			14	8	4	1	0.876	4.12	787	4	0	54	434	0	0	0		11	14	0	0	1	0

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	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 Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	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
Arttu Hyry	Cleveland Monsters (CBJ)	RW	24	2001-04-06	FIN	No	209 Lbs	6 ft2	No	No	Fantasy Draft		No	No	1	2025-05-26	False	False	Pro & Farm	870,000$	186,780$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Brandon Scanlin	Cleveland Monsters (CBJ)	D	26	1999-06-02	CAN	No	214 Lbs	6 ft4	No	No	Fantasy Draft		No	No	1	2025-05-26	False	False	Pro & Farm	775,000$	166,384$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Clay Stevenson	Cleveland Monsters (CBJ)	G	26	1999-03-03	CAN	No	194 Lbs	6 ft4	No	No	Assign Manually		No	No	2	2025-05-26	False	False	Pro & Farm	775,000$	166,384$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Danil Gushchin	Cleveland Monsters (CBJ)	LW	23	2002-06-02	RUS	No	181 Lbs	5 ft10	No	No	Assign Manually		No	No	1	2025-08-19	False	False	Pro & Farm	775,000$	166,384$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Ethan Haider	Cleveland Monsters (CBJ)	G	24	2001-09-04	USA	No	190 Lbs	6 ft4	No	No	Fantasy Draft		No	No	0	2025-07-22	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Fabian Lysell	Cleveland Monsters (CBJ)	RW	23	2003-01-19	SWE	No	181 Lbs	5 ft11	No	No	Trade	2025-10-09	No	No	1	2025-05-26	False	False	Pro & Farm	863,333$	185,348$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Filip Kral	Cleveland Monsters (CBJ)	D	26	1999-10-20	CZE	No	198 Lbs	6 ft2	No	No	Fantasy Draft		No	No	0	2025-07-22	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Garin Bjorklund	Cleveland Monsters (CBJ)	G	23	2002-05-28	CAN	No	172 Lbs	6 ft2	No	No	Fantasy Draft		No	No	1	2025-06-29	False	False	Pro & Farm	775,000$	166,384$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Garrett Pyke	Cleveland Monsters (CBJ)	D	26	1999-08-01	CAN	No	192 Lbs	6 ft1	No	No	Fantasy Draft		No	No	0	2025-07-22	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Gleb Trikozov	Cleveland Monsters (CBJ)	LW	21	2004-08-12	RUS	No	192 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2025-05-26	False	False	Pro & Farm	862,500$	185,169$	0$	0$	No	862,500$	-	-	-	-	-	-	-	-	862,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Helge Grans	Cleveland Monsters (CBJ)	D	23	2002-05-10	SWE	No	205 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2025-06-29	False	False	Pro & Farm	787,500$	169,068$	0$	0$	No	787,500$	-	-	-	-	-	-	-	-	787,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Hunter Drew	Cleveland Monsters (CBJ)	RW	27	1998-10-21	CAN	No	192 Lbs	6 ft2	No	No	Fantasy Draft		No	No	0	2025-07-22	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Jack Millar	Cleveland Monsters (CBJ)	D	25	2000-11-30	USA	No	220 Lbs	6 ft5	No	No	Fantasy Draft		No	No	0	2025-07-22	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Jan Mysak	Cleveland Monsters (CBJ)	C	23	2002-06-24	CZE	No	183 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-07-22	False	False	Pro & Farm	775,000$	166,384$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Kevin Connauton	Cleveland Monsters (CBJ)	D	36	1990-02-23	CAN	No	205 Lbs	6 ft2	No	No	Fantasy Draft		No	No	1	2025-05-26	False	False	Pro & Farm	775,000$	166,384$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Lane Pederson	Cleveland Monsters (CBJ)	C	28	1997-08-04	CAN	No	190 Lbs	6 ft0	No	No	Fantasy Draft		No	No	1	2025-07-02	False	False	Pro & Farm	775,000$	166,384$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Martin Chromiak	Cleveland Monsters (CBJ)	RW	23	2002-08-20	SLV	No	187 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2025-06-29	False	False	Pro & Farm	775,000$	166,384$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Noel Gunler	Cleveland Monsters (CBJ)	LW/RW	24	2001-10-07	SWE	No	176 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-07-02	False	False	Pro & Farm	813,750$	174,703$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Rodrigo Abols	Cleveland Monsters (CBJ)	C	30	1996-01-05	LVA	No	206 Lbs	6 ft4	No	No	Fantasy Draft		No	No	1	2025-06-29	False	False	Pro & Farm	800,000$	171,751$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan Mast	Cleveland Monsters (CBJ)	D	23	2003-01-14	USA	No	220 Lbs	6 ft5	No	No	Fantasy Draft		No	No	1	2025-05-26	False	False	Pro & Farm	830,556$	178,311$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Tim Washe	Cleveland Monsters (CBJ)	C	24	2001-08-25	USA	No	215 Lbs	6 ft3	No	No	Fantasy Draft		No	No	2	2025-08-19	False	False	Pro & Farm	812,500$	174,435$	0$	0$	No	812,500$	-	-	-	-	-	-	-	-	812,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Tyler Inamoto	Cleveland Monsters (CBJ)	D	26	1999-05-06	USA	No	194 Lbs	6 ft2	No	No	Fantasy Draft		No	No	0	2025-07-22	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
William Wallinder	Cleveland Monsters (CBJ)	D	23	2002-07-28	SWE	No	192 Lbs	6 ft4	No	No	Assign Manually		No	No	1	2025-05-26	False	False	Pro & Farm	925,000$	198,588$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	25.09	196 Lbs	6 ft2	0.91	598,484$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Danil Gushchin			30	1	2	2
2				30	1	2	2
3		Rodrigo Abols	Martin Chromiak	25	1	2	2
4		Jan Mysak		15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			30	1	2	2
2	Kevin Connauton		30	1	2	2
3		Ryan Mast	25	1	2	2
4			15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Danil Gushchin			50	1	2	2
2				50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2	Kevin Connauton		50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			50	1	2	2
2	Danil Gushchin		50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2	Kevin Connauton		50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		50	1	2	2			50	1	2	2
2		50	1	2	2	Kevin Connauton		50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			50	1	2	2
2	Danil Gushchin		50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2	Kevin Connauton		50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Danil Gushchin

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Danil Gushchin

Extra Forwards
Normal	PowerPlay	Penalty Kill
Lane Pederson, Rodrigo Abols, Martin Chromiak	Lane Pederson, Rodrigo Abols	Martin Chromiak

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Ryan Mast, Kevin Connauton		Ryan Mast, Kevin Connauton

Penalty Shots
, , Danil Gushchin, ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , Danil Gushchin, , , Rodrigo Abols, Martin Chromiak, Jan Mysak, Lane Pederson,

Custom OT Lines Defensemen
, , Kevin Connauton, ,

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	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	10	15	0	0	110	84	75	6	46	806	793	839	25	35	7	4	22	3	1	33.33%	2	1	50.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
2	Bakersfield Condors	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	110	84	75	6	39	806	793	839	25	33	8	8	22	1	0	0.00%	4	0	100.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
3	Belleville Senators	2	1	0	0	0	1	0	0	13	11	2	1	1	0	0	0	0	0	0	6	3	3	1	0	0	0	0	1	0	0	7	8	-1	3	0.750	13	22	35	0	0	110	84	75	6	109	806	793	839	25	56	9	16	44	11	3	27.27%	8	5	37.50%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
4	Bridgeport Islanders	3	3	0	0	0	0	0	0	17	14	3	2	2	0	0	0	0	0	0	12	10	2	1	1	0	0	0	0	0	0	5	4	1	6	1.000	17	31	48	0	0	110	84	75	6	148	806	793	839	25	135	53	30	79	7	3	42.86%	14	6	57.14%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
5	Calgary Wranglers	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	110	84	75	6	41	806	793	839	25	44	13	8	21	6	2	33.33%	4	0	100.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
6	Charlotte Checkers	2	2	0	0	0	0	0	0	12	8	4	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	7	4	3	4	1.000	12	23	35	0	0	110	84	75	6	91	806	793	839	25	93	28	15	48	4	3	75.00%	4	1	75.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
7	Chicago Wolves	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	1.000	5	9	14	0	0	110	84	75	6	41	806	793	839	25	45	13	2	28	1	0	0.00%	1	0	100.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
8	Coachella Valley Firebirds	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	110	84	75	6	39	806	793	839	25	35	14	4	28	3	0	0.00%	2	0	100.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
9	Colorado Eagles	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	9	14	0	0	110	84	75	6	43	806	793	839	25	31	6	4	27	5	2	40.00%	2	0	100.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
10	Grand Rapids Griffins	4	3	0	0	0	0	0	1	20	15	5	2	2	0	0	0	0	0	0	11	6	5	2	1	0	0	0	0	0	1	9	9	0	7	0.875	20	35	55	0	0	110	84	75	6	151	806	793	839	25	118	34	24	73	13	3	23.08%	12	4	66.67%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
11	Hartford Wolf Pack	2	0	2	0	0	0	0	0	6	8	-2	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	6	8	-2	0	0.000	6	12	18	0	0	110	84	75	6	81	806	793	839	25	59	20	12	57	7	1	14.29%	5	2	60.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
12	Henderson Silver Knights	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	110	84	75	6	42	806	793	839	25	34	12	8	15	2	0	0.00%	4	1	75.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
13	Hershey Bears	3	0	3	0	0	0	0	0	15	24	-9	1	0	1	0	0	0	0	0	7	8	-1	2	0	2	0	0	0	0	0	8	16	-8	0	0.000	15	28	43	0	0	110	84	75	6	111	806	793	839	25	136	33	20	61	9	3	33.33%	8	6	25.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
14	Iowa Wild	1	1	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	13	21	0	0	110	84	75	6	72	806	793	839	25	43	10	4	35	3	0	0.00%	2	0	100.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
15	Laval Rocket	4	2	2	0	0	0	0	0	22	27	-5	2	1	1	0	0	0	0	0	11	13	-2	2	1	1	0	0	0	0	0	11	14	-3	4	0.500	22	41	63	0	0	110	84	75	6	167	806	793	839	25	177	62	24	113	13	4	30.77%	12	5	58.33%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
16	Lehigh Valley Phantoms	2	2	0	0	0	0	0	0	13	8	5	2	2	0	0	0	0	0	0	13	8	5	0	0	0	0	0	0	0	0	0	0	0	4	1.000	13	22	35	0	0	110	84	75	6	123	806	793	839	25	93	18	16	42	4	0	0.00%	7	2	71.43%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
17	Manitoba Moose	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	10	15	0	0	110	84	75	6	40	806	793	839	25	51	12	8	22	2	1	50.00%	4	1	75.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
18	Milwaukee Admirals	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	5	9	14	0	0	110	84	75	6	41	806	793	839	25	45	9	10	30	3	1	33.33%	5	2	60.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
19	Ontario Reign	1	0	1	0	0	0	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	6	7	-1	0	0.000	6	9	15	0	0	110	84	75	6	55	806	793	839	25	38	12	2	25	1	0	0.00%	1	0	100.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
20	Providence Bruins	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	1	0	110	84	75	6	20	806	793	839	25	24	4	0	23	2	0	0.00%	0	0	0%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
21	Rochester Americans	2	0	2	0	0	0	0	0	6	13	-7	2	0	2	0	0	0	0	0	6	13	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	6	12	18	0	0	110	84	75	6	101	806	793	839	25	78	27	10	46	5	0	0.00%	5	2	60.00%	1	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
22	Rockford IceHogs	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	4	7	11	0	0	110	84	75	6	47	806	793	839	25	44	17	8	21	2	1	50.00%	3	1	66.67%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
23	San Jose Barracuda	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	3	5	0	0	110	84	75	6	35	806	793	839	25	51	12	6	20	4	0	0.00%	3	0	100.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
24	Springfield Thunderbirds	2	0	2	0	0	0	0	0	7	14	-7	2	0	2	0	0	0	0	0	7	14	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	7	11	18	0	0	110	84	75	6	74	806	793	839	25	75	20	10	38	7	2	28.57%	5	4	20.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
25	Syracuse Crunch	4	3	1	0	0	0	0	0	23	20	3	2	1	1	0	0	0	0	0	12	13	-1	2	2	0	0	0	0	0	0	11	7	4	6	0.750	23	41	64	0	0	110	84	75	6	159	806	793	839	25	148	39	12	88	11	3	27.27%	6	4	33.33%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
26	Toronto Marlies	3	2	1	0	0	0	0	0	10	10	0	1	0	1	0	0	0	0	0	2	5	-3	2	2	0	0	0	0	0	0	8	5	3	4	0.667	10	17	27	0	0	110	84	75	6	92	806	793	839	25	88	19	10	60	6	2	33.33%	4	1	75.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
27	Tucson Roadrunners	1	0	1	0	0	0	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	6	7	-1	0	0.000	6	11	17	0	0	110	84	75	6	59	806	793	839	25	45	12	4	18	1	0	0.00%	2	0	100.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
28	Utica Comets	4	1	2	0	0	0	1	0	14	16	-2	2	1	0	0	0	0	1	0	11	8	3	2	0	2	0	0	0	0	0	3	8	-5	4	0.500	14	24	38	0	0	110	84	75	6	147	806	793	839	25	119	35	26	91	7	2	28.57%	10	2	80.00%	0	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
29	Wilkes-Barre Penguins	5	4	0	0	0	1	0	0	26	18	8	2	1	0	0	0	1	0	0	12	10	2	3	3	0	0	0	0	0	0	14	8	6	9	0.900	26	46	72	0	0	110	84	75	6	238	806	793	839	25	247	61	16	141	12	2	16.67%	7	1	85.71%	1	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
	Total	57	28	23	0	2	2	1	1	272	275	-3	28	14	11	0	1	1	1	0	144	143	1	29	14	12	0	1	1	0	1	128	132	-4	65	0.570	272	485	757	1	0	110	84	75	6	2452	806	793	839	25	2220	619	321	1338	155	39	25.16%	146	51	65.07%	2	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
	_Since Last GM Reset	57	28	23	0	2	2	1	1	272	275	-3	28	14	11	0	1	1	1	0	144	143	1	29	14	12	0	1	1	0	1	128	132	-4	65	0.570	272	485	757	1	0	110	84	75	6	2452	806	793	839	25	2220	619	321	1338	155	39	25.16%	146	51	65.07%	2	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
	_Vs Conference	43	23	16	0	0	2	1	1	207	211	-4	23	12	9	0	0	1	1	0	118	120	-2	20	11	7	0	0	1	0	1	89	91	-2	51	0.593	207	369	576	1	0	110	84	75	6	1812	806	793	839	25	1646	462	241	1004	118	31	26.27%	107	45	57.94%	2	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353
	_Vs Division	20	12	8	0	0	1	1	1	96	92	4	9	6	5	0	0	0	1	0	55	44	11	11	6	3	0	0	1	0	1	41	48	-7	28	0.700	96	172	268	0	0	110	84	75	6	889	806	793	839	25	834	233	122	499	47	11	23.40%	52	19	63.46%	1	1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%	1407	1017	1317	392	711	353

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
57	65	W3	272	485	757	2452	2220	619	321	1338	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
57	28	23	2	2	1	1	272	275

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	14	11	1	1	1	0	144	143

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	14	12	1	1	0	1	128	132

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	5	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
155	39	25.16%	146	51	65.07%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
806	793	839	25	110	84	75	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1205	2211	54.50%	1107	2037	54.34%	591	1107	53.39%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1407	1017	1317	392	711	353

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 - 2025-10-07	4	Utica Comets	4	Cleveland Monsters	5	W	X	X	BoxScore
2 - 2025-10-08	12	Cleveland Monsters	5	Wilkes-Barre Penguins	3	W			BoxScore
6 - 2025-10-12	37	Cleveland Monsters	3	Syracuse Crunch	1	W			BoxScore
8 - 2025-10-14	47	Cleveland Monsters	4	Hershey Bears	9	L			BoxScore
10 - 2025-10-16	58	Springfield Thunderbirds	7	Cleveland Monsters	3	L			BoxScore
13 - 2025-10-19	80	Grand Rapids Griffins	4	Cleveland Monsters	6	W			BoxScore
15 - 2025-10-21	89	Cleveland Monsters	2	Utica Comets	3	L			BoxScore
18 - 2025-10-24	109	Cleveland Monsters	4	Toronto Marlies	2	W			BoxScore
20 - 2025-10-26	122	Toronto Marlies	5	Cleveland Monsters	2	L			BoxScore
24 - 2025-10-30	149	Providence Bruins	5	Cleveland Monsters	3	L			BoxScore
26 - 2025-11-01	167	Cleveland Monsters	4	Wilkes-Barre Penguins	2	W			BoxScore
28 - 2025-11-03	178	Cleveland Monsters	4	Grand Rapids Griffins	5	L	X	X	BoxScore
29 - 2025-11-04	189	Bridgeport Islanders	5	Cleveland Monsters	6	W			BoxScore
31 - 2025-11-06	208	Cleveland Monsters	7	Laval Rocket	6	W			BoxScore
33 - 2025-11-08	221	Lehigh Valley Phantoms	3	Cleveland Monsters	4	W			BoxScore
36 - 2025-11-11	236	Cleveland Monsters	7	Belleville Senators	8	L	X		BoxScore
38 - 2025-11-13	251	Coachella Valley Firebirds	4	Cleveland Monsters	3	L			BoxScore
40 - 2025-11-15	270	Cleveland Monsters	5	Chicago Wolves	4	W	X		BoxScore
42 - 2025-11-17	281	Bakersfield Condors	3	Cleveland Monsters	5	W			BoxScore
44 - 2025-11-19	296	Cleveland Monsters	6	Ontario Reign	7	L			BoxScore
46 - 2025-11-21	308	Cleveland Monsters	5	Bridgeport Islanders	4	W			BoxScore
47 - 2025-11-22	317	Grand Rapids Griffins	2	Cleveland Monsters	5	W			BoxScore
50 - 2025-11-25	338	Cleveland Monsters	2	San Jose Barracuda	5	L			BoxScore
52 - 2025-11-27	348	Charlotte Checkers	4	Cleveland Monsters	5	W			BoxScore
54 - 2025-11-29	359	Cleveland Monsters	5	Abbotsford Canucks	4	W			BoxScore
56 - 2025-12-01	370	Cleveland Monsters	1	Utica Comets	5	L			BoxScore
58 - 2025-12-03	382	Cleveland Monsters	7	Charlotte Checkers	4	W			BoxScore
59 - 2025-12-04	387	Laval Rocket	5	Cleveland Monsters	6	W			BoxScore
63 - 2025-12-08	414	Hershey Bears	8	Cleveland Monsters	7	L			BoxScore
65 - 2025-12-10	430	Cleveland Monsters	4	Hershey Bears	7	L			BoxScore
67 - 2025-12-12	437	Cleveland Monsters	5	Colorado Eagles	1	W			BoxScore
68 - 2025-12-13	448	Belleville Senators	3	Cleveland Monsters	6	W			BoxScore
73 - 2025-12-18	479	Wilkes-Barre Penguins	4	Cleveland Monsters	7	W			BoxScore
79 - 2025-12-24	510	Syracuse Crunch	8	Cleveland Monsters	5	L			BoxScore
82 - 2025-12-27	534	Bridgeport Islanders	5	Cleveland Monsters	6	W			BoxScore
84 - 2025-12-29	545	Cleveland Monsters	5	Wilkes-Barre Penguins	3	W			BoxScore
87 - 2026-01-01	563	Cleveland Monsters	4	Laval Rocket	8	L			BoxScore
88 - 2026-01-02	572	Calgary Wranglers	4	Cleveland Monsters	5	W	X		BoxScore
92 - 2026-01-06	592	Cleveland Monsters	4	Toronto Marlies	3	W			BoxScore
94 - 2026-01-08	604	Cleveland Monsters	6	Tucson Roadrunners	7	L			BoxScore
95 - 2026-01-09	610	Laval Rocket	8	Cleveland Monsters	5	L			BoxScore
98 - 2026-01-12	634	Cleveland Monsters	4	Rockford IceHogs	5	L			BoxScore
99 - 2026-01-13	637	Wilkes-Barre Penguins	6	Cleveland Monsters	5	L	X		BoxScore
103 - 2026-01-17	666	Syracuse Crunch	5	Cleveland Monsters	7	W			BoxScore
105 - 2026-01-19	676	Cleveland Monsters	8	Syracuse Crunch	6	W			BoxScore
108 - 2026-01-22	692	Cleveland Monsters	4	Hartford Wolf Pack	5	L			BoxScore
109 - 2026-01-23	701	Milwaukee Admirals	6	Cleveland Monsters	5	L			BoxScore
112 - 2026-01-26	728	Springfield Thunderbirds	7	Cleveland Monsters	4	L			BoxScore
115 - 2026-01-29	744	Cleveland Monsters	1	Henderson Silver Knights	4	L			BoxScore
117 - 2026-01-31	759	Lehigh Valley Phantoms	5	Cleveland Monsters	9	W			BoxScore
122 - 2026-02-05	789	Rochester Americans	8	Cleveland Monsters	4	L			BoxScore
124 - 2026-02-07	806	Cleveland Monsters	2	Hartford Wolf Pack	3	L			BoxScore
128 - 2026-02-11	824	Iowa Wild	6	Cleveland Monsters	8	W			BoxScore
131 - 2026-02-14	848	Rochester Americans	5	Cleveland Monsters	2	L			BoxScore
133 - 2026-02-16	861	Cleveland Monsters	5	Grand Rapids Griffins	4	W			BoxScore
135 - 2026-02-18	876	Cleveland Monsters	5	Manitoba Moose	4	W			BoxScore
137 - 2026-02-20	887	Utica Comets	4	Cleveland Monsters	6	W			BoxScore
142 - 2026-02-25	916	Toronto Marlies	-	Cleveland Monsters	-
146 - 2026-03-01	943	Cleveland Monsters	-	Providence Bruins	-
147 - 2026-03-02	949	San Diego Gulls	-	Cleveland Monsters	-
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2026-03-06	974	Charlotte Checkers	-	Cleveland Monsters	-
153 - 2026-03-08	986	Cleveland Monsters	-	Springfield Thunderbirds	-
155 - 2026-03-10	998	Cleveland Monsters	-	Belleville Senators	-
157 - 2026-03-12	1012	Providence Bruins	-	Cleveland Monsters	-
161 - 2026-03-16	1038	Hartford Wolf Pack	-	Cleveland Monsters	-
164 - 2026-03-19	1055	Cleveland Monsters	-	Rochester Americans	-
166 - 2026-03-21	1065	Belleville Senators	-	Cleveland Monsters	-
168 - 2026-03-23	1081	Cleveland Monsters	-	Rochester Americans	-
172 - 2026-03-27	1101	Texas Stars	-	Cleveland Monsters	-
176 - 2026-03-31	1120	Cleveland Monsters	-	Lehigh Valley Phantoms	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	6000	3000
Ticket Price	50	25
Attendance	161,017	79,731
Attendance PCT	95.84%	94.92%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
7	8598 - 95.53%	430,463$	12,052,950$	9000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,078,706$	1,376,514$	1,376,514$	1$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,078,706$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,013,238$	38	7,777$	295,526$

Cleveland Monsters 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

Cleveland Monsters 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

Cleveland Monsters 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

Cleveland Monsters 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

Cleveland Monsters 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

	Cleveland Monsters
	GP: 57 \| W: 31 \| L: 23 \| OTL: 3 \| P: 65 GF: 272 \| GA: 275 \| PP%: 25.16% \| PK%: 65.07% GM : Patrick Labonté \| Morale : 50 \| Team Overall : 60 Next Games #916 vs Toronto Marlies