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

Game Center
	Cleveland Monsters 9-6-2, 20pts	7	FINAL	8	Belleville Senators 5-9-1, 11pts

Team Stats
L1	Streak	W1
4-4-0	Home Record	3-5-0
5-2-2	Home Record	2-4-1
5-3-2	Last 10 Games	5-4-1
4.24	Goals Per Game	3.53
4.47	Goals Against Per Game	4.80
23.26%	Power Play Percentage	19.51%
53.49%	Penalty Kill Percentage	65.96%

Coachella Valley Firebirds
11-3-2, 24pts

FINAL

Cleveland Monsters
9-6-2, 20pts

Team Stats
W3	Streak	L1
5-3-0	Home Record	4-4-0
6-0-2	Home Record	5-2-2
7-2-1	Last 10 Games	5-3-2
4.81	Goals Per Game	4.24
3.63	Goals Against Per Game	4.47
23.26%	Power Play Percentage	23.26%
81.08%	Penalty Kill Percentage	53.49%

Cleveland Monsters
9-6-2, 20pts

Day 40

Chicago Wolves
7-6-3, 17pts

Team Stats
L1	Streak	SOL1
4-4-0	Home Record	4-2-2
5-2-2	Away Record	3-4-1
5-3-2	Last 10 Games	3-5-2
4.24	Goals Per Game	4.63
4.47	Goals Against Per Game	4.63
23.26%	Power Play Percentage	22.58%
53.49%	Penalty Kill Percentage	77.78%

Bakersfield Condors
7-8-1, 15pts

Day 42

Cleveland Monsters
9-6-2, 20pts

Team Stats
W3	Streak	L1
2-5-1	Home Record	4-4-0
5-3-0	Away Record	5-2-2
4-5-1	Last 10 Games	5-3-2
4.25	Goals Per Game	4.24
4.50	Goals Against Per Game	4.24
24.49%	Power Play Percentage	23.26%
82.50%	Penalty Kill Percentage	53.49%

Cleveland Monsters
9-6-2, 20pts

Day 44

Ontario Reign
9-5-1, 19pts

Team Stats
L1	Streak	W2
4-4-0	Home Record	7-1-1
5-2-2	Away Record	2-4-0
5-3-2	Last 10 Games	7-3-0
4.24	Goals Per Game	4.73
4.47	Goals Against Per Game	4.73
23.26%	Power Play Percentage	34.38%
53.49%	Penalty Kill Percentage	77.78%

Team Leaders
	Goals Danil Gushchin 8	Assists Keaton Middleton 19

	Points Keaton Middleton 25	Plus/Minus Keaton Middleton 12

Team Stats
Goals For 72 4.24 GFG	Shots For 568 33.41 Avg	Power Play Percentage 23.3% 10 GF	Offensive Zone Start 39.2%
Goals Against 76 4.47 GAA	Shots Against 593 34.88 Avg	Penalty Kill Percentage 53.5%% 20 GA	Defensive Zone Start 39.8%

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	8,679
	Season Tickets	8,370
Roster Info
	Pro Team	23
	Farm Team	20
	Contract Limit	43 / 60
	Prospects	9

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	22	1	863,333$
2	Danil Gushchin		X			99.00	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		99.00	61	53	58	69	62	64	62	61	43	61	56	61	62	51	50	0	50	61	0	23	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	29	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	Keaton Middleton				X	99.00	70	64	62	64	86	76	72	67	40	60	59	70	63	64	56	0	50	68	0	27	2	775,000$
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	35	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	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	22	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	24	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					99.85	61	45	66	64	66	64	61	61	45	58	56	60	60	53	51	0	50	61

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	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	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	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	Keaton Middleton	Cleveland Monsters (CBJ)	D	17	6	19	25	12	18	44	34	55	9	32	10.91%	38	411	24.21	1	4	5	26	35	0	20	1	0	100.00%	1	0	0	1.21	0	2	2	2	2
2	Kevin Connauton	Cleveland Monsters (CBJ)	D	17	1	18	19	-1	6	32	22	41	13	24	2.44%	24	325	19.15	0	4	4	29	39	2	31	0	0	0%	1	0	0	1.17	0	0	0	0	2
3	Danil Gushchin	Cleveland Monsters (CBJ)	LW	17	8	10	18	10	8	16	24	60	21	47	13.33%	3	302	17.81	1	1	2	9	38	0	22	2	0	39.78%	93	0	0	1.19	1	2	3	0	0
4	Martin Chromiak	Cleveland Monsters (CBJ)	RW	17	6	6	12	2	8	13	28	39	16	28	15.38%	4	245	14.42	0	0	0	0	1	0	4	2	0	41.18%	34	0	1	0.98	0	1	2	0	0
5	Rodrigo Abols	Cleveland Monsters (CBJ)	C	17	3	9	12	0	4	24	41	40	15	37	7.50%	2	267	15.76	0	1	1	0	2	0	0	0	0	67.83%	314	0	0	0.90	0	0	0	2	0
6	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
7	William Wallinder	Cleveland Monsters (CBJ)	D	17	3	8	11	-5	0	23	15	14	4	10	21.43%	16	305	17.94	0	0	0	1	3	0	2	1	0	0%	0	0	0	0.72	0	0	0	0	3
8	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
9	Ozzy Wiesblatt	Cleveland Monsters (CBJ)	RW	17	7	1	8	1	0	28	28	45	13	38	15.56%	4	208	12.26	3	0	3	9	36	0	0	0	0	53.33%	15	0	0	0.77	1	2	0	1	2
10	Lane Pederson	Cleveland Monsters (CBJ)	C	17	6	1	7	-1	2	13	14	21	4	14	28.57%	2	173	10.22	1	0	1	3	3	0	1	0	1	50.00%	134	0	0	0.81	0	0	0	0	0
11	Ryan Mast	Cleveland Monsters (CBJ)	D	17	1	6	7	-8	8	30	18	11	4	8	9.09%	22	298	17.57	0	0	0	0	1	0	11	0	0	0%	0	0	0	0.47	0	0	0	0	0
12	Jan Mysak	Cleveland Monsters (CBJ)	C	17	2	4	6	-7	2	11	46	39	13	30	5.13%	2	253	14.92	0	0	0	0	0	0	0	1	0	59.71%	273	0	0	0.47	1	1	0	1	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	Columbus Blue Jackets	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				212	59	98	157	18	70	306	314	447	138	324	13.20%	139	3674	17.33	8	11	19	87	224	2	123	7	3	55.79%	1097	1	1	0.85	4	11	10	10	10

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
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$	608,616$	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$	608,616$	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	22	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$	677,985$	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$	608,616$	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$	677,331$	0$	0$	No	862,500$	-	-	-	-	-	-	-	-	862,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
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	24	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$	608,616$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Keaton Middleton	Cleveland Monsters (CBJ)	D	27	1998-02-10	CAN	No	240 Lbs	6 ft6	No	No	Fantasy Draft		No	No	2	2025-06-29	False	False	Pro & Farm	775,000$	608,616$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Kevin Connauton	Cleveland Monsters (CBJ)	D	35	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$	608,616$	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$	608,616$	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$	608,616$	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$	681,257$	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$	639,047$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ozzy Wiesblatt	Cleveland Monsters (CBJ)	RW	23	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$	608,616$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Rodrigo Abols	Cleveland Monsters (CBJ)	C	29	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$	628,249$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan Mast	Cleveland Monsters (CBJ)	D	22	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$	652,245$	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$	638,065$	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$	726,412$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	24.83	196 Lbs	6 ft2	0.96	597,832$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Danil Gushchin			30	1	2	2
2			Ozzy Wiesblatt	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	Keaton Middleton		30	1	2	2
2	Kevin Connauton		30	1	2	2
3	William Wallinder	Ryan Mast	25	1	2	2
4	Keaton Middleton		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			Ozzy Wiesblatt	50	1	2	2

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

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

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

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

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

Penalty Shots
, , Danil Gushchin, , Ozzy Wiesblatt

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
Keaton Middleton, , Kevin Connauton, , William Wallinder

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Belleville Senators	1	0	0	0	0	1	0	0	7	8	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	7	8	-1	1	0.500	7	12	19	0	0	22	28	21	4	50	167	216	180	16	31	6	8	24	3	1	33.33%	4	3	25.00%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
2	Bridgeport Islanders	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	22	28	21	4	49	167	216	180	16	36	17	12	25	3	1	33.33%	6	4	33.33%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
3	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	22	28	21	4	39	167	216	180	16	35	14	4	28	3	0	0.00%	2	0	100.00%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
4	Grand Rapids Griffins	2	1	0	0	0	0	0	1	10	9	1	1	1	0	0	0	0	0	0	6	4	2	1	0	0	0	0	0	0	1	4	5	-1	3	0.750	10	16	26	0	0	22	28	21	4	61	167	216	180	16	62	19	12	38	7	3	42.86%	6	2	66.67%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
5	Hershey Bears	1	0	1	0	0	0	0	0	4	9	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	9	-5	0	0.000	4	8	12	0	0	22	28	21	4	23	167	216	180	16	47	8	12	21	0	0	0%	5	4	20.00%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
6	Laval Rocket	1	1	0	0	0	0	0	0	7	6	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	6	1	2	1.000	7	12	19	0	0	22	28	21	4	46	167	216	180	16	40	12	4	19	6	2	33.33%	2	1	50.00%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
7	Lehigh Valley Phantoms	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	22	28	21	4	53	167	216	180	16	48	10	12	20	2	0	0.00%	5	1	80.00%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
8	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	22	28	21	4	20	167	216	180	16	24	4	0	23	2	0	0.00%	0	0	0%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
9	Springfield Thunderbirds	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	5	8	0	0	22	28	21	4	24	167	216	180	16	28	7	6	9	5	1	20.00%	3	3	0.00%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
10	Syracuse Crunch	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	4	7	0	0	22	28	21	4	20	167	216	180	16	29	9	0	11	2	0	0.00%	0	0	0%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
11	Toronto Marlies	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	4	2	2	2	0.500	6	10	16	0	0	22	28	21	4	47	167	216	180	16	70	17	8	39	0	0	0%	3	1	66.67%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
12	Utica Comets	2	0	1	0	0	0	1	0	7	7	0	1	0	0	0	0	0	1	0	5	4	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	11	18	0	0	22	28	21	4	59	167	216	180	16	59	15	8	49	5	1	20.00%	4	1	75.00%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
13	Wilkes-Barre Penguins	2	2	0	0	0	0	0	0	9	5	4	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	9	5	4	4	1.000	9	14	23	0	0	22	28	21	4	77	167	216	180	16	84	27	8	58	5	1	20.00%	3	0	100.00%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
	Total	17	8	6	0	0	1	1	1	72	76	-4	8	3	4	0	0	0	1	0	32	37	-5	9	5	2	0	0	1	0	1	40	39	1	20	0.588	72	120	192	1	0	22	28	21	4	568	167	216	180	16	593	165	94	364	43	10	23.26%	43	20	53.49%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
	_Since Last GM Reset	17	8	6	0	0	1	1	1	72	76	-4	8	3	4	0	0	0	1	0	32	37	-5	9	5	2	0	0	1	0	1	40	39	1	20	0.588	72	120	192	1	0	22	28	21	4	568	167	216	180	16	593	165	94	364	43	10	23.26%	43	20	53.49%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
	_Vs Conference	16	8	5	0	0	1	1	1	69	72	-3	7	3	3	0	0	0	1	0	29	33	-4	9	5	2	0	0	1	0	1	40	39	1	20	0.625	69	114	183	1	0	22	28	21	4	529	167	216	180	16	558	151	90	336	40	10	25.00%	41	20	51.22%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111
	_Vs Division	7	4	2	0	0	1	1	1	30	29	1	3	1	1	0	0	0	1	0	15	12	3	4	3	1	0	0	1	0	1	15	17	-2	12	0.857	30	51	81	0	0	22	28	21	4	261	167	216	180	16	274	77	52	173	15	3	20.00%	23	10	56.52%	0	302	573	52.71%	319	581	54.91%	171	307	55.70%	417	296	393	121	219	111

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
17	20	L1	72	120	192	568	593	165	94	364	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	8	6	0	1	1	1	72	76

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	4	0	0	1	0	32	37

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	5	2	0	1	0	1	40	39

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
43	10	23.26%	43	20	53.49%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
167	216	180	16	22	28	21	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
302	573	52.71%	319	581	54.91%	171	307	55.70%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
417	296	393	121	219	111

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

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	6000	3000
Ticket Price	50	25
Attendance	46,588	22,841
Attendance PCT	97.06%	95.17%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
27	8679 - 96.43%	435,064$	3,480,510$	9000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
310,388$	1,375,014$	1,375,014$	1$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	310,388$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
11,746,721$	139	7,768$	1,079,752$

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: 17 \| W: 9 \| L: 6 \| OTL: 2 \| P: 20 GF: 72 \| GA: 76 \| PP%: 23.26% \| PK%: 53.49% GM : Patrick Labonté \| Morale : 50 \| Team Overall : 60 Next Games #270 vs Chicago Wolves