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

Game Center
	Texas Stars 31-31-8, 70pts	5	FINAL	7	Cleveland Monsters 36-30-4, 76pts

Team Stats
L3	Streak	W2
18-15-2	Home Record	20-14-1
13-16-6	Home Record	16-16-3
5-5-0	Last 10 Games	4-5-1
4.61	Goals Per Game	4.66
4.83	Goals Against Per Game	4.83
24.16%	Power Play Percentage	25.27%
70.35%	Penalty Kill Percentage	63.59%

Cleveland Monsters
36-30-4, 76pts

FINAL

Lehigh Valley Phantoms
24-38-8, 56pts

Team Stats
W2	Streak	L2
20-14-1	Home Record	14-19-2
16-16-3	Home Record	10-19-6
4-5-1	Last 10 Games	3-6-1
4.66	Goals Per Game	5.13
4.83	Goals Against Per Game	5.93
25.27%	Power Play Percentage	26.74%
63.59%	Penalty Kill Percentage	68.50%

Team Leaders
	Goals Danil Gushchin 31	Assists Kevin Connauton 73

	Points Kevin Connauton 90	Plus/Minus Danil Gushchin 9

	Wins Cal Petersen 8	Save Percentage Cal Petersen 0.876

Team Stats
Goals For 326 4.66 GFG	Shots For 2971 42.44 Avg	Power Play Percentage 25.3% 47 GF	Offensive Zone Start 40.9%
Goals Against 338 4.83 GAA	Shots Against 2776 39.66 Avg	Penalty Kill Percentage 63.6%% 67 GA	Defensive Zone Start 38.5%

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	8,614
	Season Tickets	8,370
Roster Info
	Pro Team	25
	Farm Team	19
	Contract Limit	44 / 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	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$
2	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$
3	Ozzy Wiesblatt			X		100.00	61	53	58	69	62	64	62	61	43	61	56	61	62	51	50	0	50	61	0	24	2	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	Nikita Novikov				X	100.00	69	44	64	65	69	62	59	63	40	60	56	69	61	50	50	0	50	63	0	22	1	867,500$
14	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$
15	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$
16	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	44	66	64	65	64	61	61	45	57	56	60	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	Cal Petersen	100.00	75	70	72	62	70	69	71	68	69	72	66	64	57	0	50	64	0	31	1	775,000$
2	Clay Stevenson	100.00	73	65	69	66	70	70	72	70	71	71	58	54	50	0	50	64	0	27	2	775,000$
Scratches
1	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$
2	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	68	62	64	63	65	65	66	64	65	66	58	55	52	0	50	60

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	70	17	73	90	-2	40	164	119	166	61	133	10.24%	120	1322	18.90	9	12	21	76	128	2	102	2	0	0%	1	0	0	1.36	0	0	4	7	11
2	Danil Gushchin	Cleveland Monsters (CBJ)	LW	58	31	33	64	9	28	104	140	304	81	203	10.20%	7	1073	18.52	5	4	9	31	115	1	83	3	2	47.97%	296	0	0	1.19	1	2	7	3	4
3	Martin Chromiak	Cleveland Monsters (CBJ)	RW	70	25	29	54	7	20	71	123	217	58	150	11.52%	15	925	13.22	0	0	0	0	1	1	11	8	0	40.82%	98	0	1	1.17	0	1	6	6	3
4	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
5	Rodrigo Abols	Cleveland Monsters (CBJ)	C	70	17	32	49	1	12	95	165	197	62	155	8.63%	18	942	13.47	0	1	1	1	2	0	0	0	0	64.64%	1318	0	0	1.04	0	0	1	6	1
6	Ryan Mast	Cleveland Monsters (CBJ)	D	70	10	32	42	-8	40	153	84	67	21	48	14.93%	86	1029	14.71	0	0	0	1	3	0	30	1	1	0%	0	0	0	0.82	0	0	4	2	2
7	Ozzy Wiesblatt	Cleveland Monsters (CBJ)	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
8	Jan Mysak	Cleveland Monsters (CBJ)	C	70	11	24	35	-17	14	45	132	165	46	113	6.67%	9	638	9.13	0	0	0	0	0	0	0	3	0	62.01%	866	0	0	1.10	1	1	1	3	1
9	Arttu Hyry	Columbus Blue Jackets	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	Cleveland Monsters (CBJ)	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	70	6	1	7	-1	2	14	17	24	4	17	25.00%	4	183	2.62	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				604	172	299	471	19	214	939	985	1485	435	1065	11.58%	381	8602	14.24	29	28	57	199	472	4	308	21	8	59.28%	2984	1	3	1.10	4	11	34	38	34

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	Cleveland Monsters (CBJ)	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 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
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$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Cal Petersen	Cleveland Monsters (CBJ)	G	31	1994-10-19	USA	No	185 Lbs	6 ft1	No	No	Fantasy Draft		No	No	1	2025-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Clay Stevenson	Cleveland Monsters (CBJ)	G	27	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$	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$	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$	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$	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$	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$	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$	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$	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$	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$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Nikita Novikov	Cleveland Monsters (CBJ)	D	22	2003-07-25	RUS	No	209 Lbs	6 ft4	No	No	Assign Manually		No	No	1	2025-05-26	False	False	Pro & Farm	867,500$	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$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ozzy Wiesblatt	Cleveland Monsters (CBJ)	RW	24	2002-03-09	CAN	No	183 Lbs	5 ft10	No	No	Assign Manually		No	No	2	2025-06-29	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
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$	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$	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$	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$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	25.24	195 Lbs	6 ft2	0.96	612,506$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				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				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			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			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

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

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
, , , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , 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	130	101	92	6	46	980	965	1012	25	35	7	4	22	3	1	33.33%	2	1	50.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	39	980	965	1012	25	33	8	8	22	1	0	0.00%	4	0	100.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
3	Belleville Senators	4	2	0	0	0	2	0	0	22	17	5	2	2	0	0	0	0	0	0	11	4	7	2	0	0	0	0	2	0	0	11	13	-2	6	0.750	22	36	58	0	0	130	101	92	6	167	980	965	1012	25	142	34	43	92	14	3	21.43%	15	5	66.67%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	148	980	965	1012	25	135	53	30	79	7	3	42.86%	14	6	57.14%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	41	980	965	1012	25	44	13	8	21	6	2	33.33%	4	0	100.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
6	Charlotte Checkers	3	2	1	0	0	0	0	0	18	15	3	2	1	1	0	0	0	0	0	11	11	0	1	1	0	0	0	0	0	0	7	4	3	4	0.667	18	34	52	0	0	130	101	92	6	151	980	965	1012	25	146	33	23	89	7	5	71.43%	7	3	57.14%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	41	980	965	1012	25	45	13	2	28	1	0	0.00%	1	0	100.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	39	980	965	1012	25	35	14	4	28	3	0	0.00%	2	0	100.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	43	980	965	1012	25	31	6	4	27	5	2	40.00%	2	0	100.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	151	980	965	1012	25	118	34	24	73	13	3	23.08%	12	4	66.67%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
11	Hartford Wolf Pack	3	0	3	0	0	0	0	0	8	13	-5	1	0	1	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	6	8	-2	0	0.000	8	16	24	0	0	130	101	92	6	120	980	965	1012	25	107	32	18	81	11	2	18.18%	8	4	50.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	42	980	965	1012	25	34	12	8	15	2	0	0.00%	4	1	75.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	111	980	965	1012	25	136	33	20	61	9	3	33.33%	8	6	25.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	72	980	965	1012	25	43	10	4	35	3	0	0.00%	2	0	100.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	167	980	965	1012	25	177	62	24	113	13	4	30.77%	12	5	58.33%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
16	Lehigh Valley Phantoms	3	3	0	0	0	0	0	0	19	12	7	2	2	0	0	0	0	0	0	13	8	5	1	1	0	0	0	0	0	0	6	4	2	6	1.000	19	32	51	0	0	130	101	92	6	163	980	965	1012	25	133	39	18	68	7	0	0.00%	8	2	75.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	40	980	965	1012	25	51	12	8	22	2	1	50.00%	4	1	75.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	41	980	965	1012	25	45	9	10	30	3	1	33.33%	5	2	60.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	55	980	965	1012	25	38	12	2	25	1	0	0.00%	1	0	100.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
20	Providence Bruins	3	1	2	0	0	0	0	0	11	16	-5	2	1	1	0	0	0	0	0	9	9	0	1	0	1	0	0	0	0	0	2	7	-5	2	0.333	11	20	31	1	0	130	101	92	6	97	980	965	1012	25	103	32	10	78	10	2	20.00%	4	3	25.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
21	Rochester Americans	4	0	4	0	0	0	0	0	12	23	-11	2	0	2	0	0	0	0	0	6	13	-7	2	0	2	0	0	0	0	0	6	10	-4	0	0.000	12	23	35	0	0	130	101	92	6	176	980	965	1012	25	177	53	24	100	8	0	0.00%	12	4	66.67%	2	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
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	130	101	92	6	47	980	965	1012	25	44	17	8	21	2	1	50.00%	3	1	66.67%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
23	San Diego Gulls	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	130	101	92	6	39	980	965	1012	25	32	6	8	26	3	1	33.33%	4	4	0.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
24	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	130	101	92	6	35	980	965	1012	25	51	12	6	20	4	0	0.00%	3	0	100.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
25	Springfield Thunderbirds	3	0	3	0	0	0	0	0	10	19	-9	2	0	2	0	0	0	0	0	7	14	-7	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	10	17	27	1	0	130	101	92	6	121	980	965	1012	25	122	35	20	68	8	3	37.50%	10	7	30.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
26	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	130	101	92	6	159	980	965	1012	25	148	39	12	88	11	3	27.27%	6	4	33.33%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
27	Texas Stars	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	130	101	92	6	49	980	965	1012	25	32	14	4	28	2	1	50.00%	2	0	100.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
28	Toronto Marlies	4	3	1	0	0	0	0	0	14	13	1	2	1	1	0	0	0	0	0	6	8	-2	2	2	0	0	0	0	0	0	8	5	3	6	0.750	14	25	39	0	0	130	101	92	6	127	980	965	1012	25	128	28	16	84	7	2	28.57%	6	1	83.33%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
29	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	130	101	92	6	59	980	965	1012	25	45	12	4	18	1	0	0.00%	2	0	100.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
30	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	130	101	92	6	147	980	965	1012	25	119	35	26	91	7	2	28.57%	10	2	80.00%	0	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
31	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	130	101	92	6	238	980	965	1012	25	247	61	16	141	12	2	16.67%	7	1	85.71%	1	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
	Total	70	33	30	0	2	3	1	1	326	338	-12	35	18	14	0	1	1	1	0	177	175	2	35	15	16	0	1	2	0	1	149	163	-14	76	0.543	326	583	909	2	0	130	101	92	6	2971	980	965	1012	25	2776	780	416	1694	186	47	25.27%	184	67	63.59%	3	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
	_Since Last GM Reset	70	33	30	0	2	3	1	1	326	338	-12	35	18	14	0	1	1	1	0	177	175	2	35	15	16	0	1	2	0	1	149	163	-14	76	0.543	326	583	909	2	0	130	101	92	6	2971	980	965	1012	25	2776	780	416	1694	186	47	25.27%	184	67	63.59%	3	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
	_Vs Conference	54	27	22	0	0	3	1	1	251	262	-11	28	15	11	0	0	1	1	0	141	140	1	26	12	11	0	0	2	0	1	110	122	-12	60	0.556	251	449	700	2	0	130	101	92	6	2243	980	965	1012	25	2138	603	324	1306	144	37	25.69%	139	57	58.99%	3	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432
	_Vs Division	22	14	10	0	0	2	1	1	104	101	3	10	8	5	0	0	0	1	0	57	49	8	12	6	5	0	0	2	0	1	47	52	-5	33	0.750	104	186	290	0	0	130	101	92	6	968	980	965	1012	25	922	266	130	549	54	12	22.22%	56	21	62.50%	1	1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%	1701	1225	1642	485	873	432

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
70	76	W2	326	583	909	2971	2776	780	416	1694	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
70	33	30	2	3	1	1	326	338

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
35	18	14	1	1	1	0	177	175

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
35	15	16	1	2	0	1	149	163

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	5	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
186	47	25.27%	184	67	63.59%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
980	965	1012	25	130	101	92	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1456	2693	54.07%	1380	2532	54.50%	736	1353	54.40%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1701	1225	1642	485	873	432

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	3	Cleveland Monsters	4	W			BoxScore
146 - 2026-03-01	943	Cleveland Monsters	2	Providence Bruins	7	L			BoxScore
147 - 2026-03-02	949	San Diego Gulls	7	Cleveland Monsters	3	L			BoxScore
151 - 2026-03-06	974	Charlotte Checkers	7	Cleveland Monsters	6	L			BoxScore
153 - 2026-03-08	986	Cleveland Monsters	3	Springfield Thunderbirds	5	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-03-10	998	Cleveland Monsters	4	Belleville Senators	5	L	X		BoxScore
157 - 2026-03-12	1012	Providence Bruins	4	Cleveland Monsters	6	W			BoxScore
161 - 2026-03-16	1038	Hartford Wolf Pack	5	Cleveland Monsters	2	L			BoxScore
164 - 2026-03-19	1055	Cleveland Monsters	3	Rochester Americans	4	L			BoxScore
166 - 2026-03-21	1065	Belleville Senators	1	Cleveland Monsters	5	W			BoxScore
168 - 2026-03-23	1081	Cleveland Monsters	3	Rochester Americans	6	L			BoxScore
172 - 2026-03-27	1101	Texas Stars	5	Cleveland Monsters	7	W			BoxScore
176 - 2026-03-31	1120	Cleveland Monsters	6	Lehigh Valley Phantoms	4	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	6000	3000
Ticket Price	50	25
Attendance	201,783	99,716
Attendance PCT	96.09%	94.97%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	8614 - 95.71%	431,385$	15,098,460$	9000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,405,260$	1,531,264$	1,531,264$	1$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,405,260$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	8,651$	0$

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: 70 \| W: 36 \| L: 30 \| OTL: 4 \| P: 76 GF: 326 \| GA: 338 \| PP%: 25.27% \| PK%: 63.59% GM : Patrick Labonté \| Morale : 50 \| Team Overall : 60