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

Game Center
	Moose 9-8-3, 21pts	4	Box score	3	Monsters 7-6-7, 21pts

Team Stats
L1	Streak	OTL3
3-5-2	Home Record	2-3-5
6-3-1	Home Record	5-3-2
5-4-1	Last 10 Games	3-3-4
2.25	Goals Per Game	2.05
2.70	Goals Against Per Game	2.45
22.22%	Power Play Percentage	33.33%
82.93%	Penalty Kill Percentage	71.74%

Monsters
7-6-7, 21pts

Box score

Silver Knights
10-8-2, 22pts

Team Stats
OTL3	Streak	W1
2-3-5	Home Record	7-3-0
5-3-2	Home Record	3-5-2
3-3-4	Last 10 Games	4-5-1
2.05	Goals Per Game	3.15
2.45	Goals Against Per Game	3.45
33.33%	Power Play Percentage	31.91%
71.74%	Penalty Kill Percentage	74.32%

Wild
18-2-0, 36pts

Day 27

Monsters
7-6-7, 21pts

Team Stats
W1	Streak	OTL3
8-2-0	Home Record	2-3-5
10-0-0	Away Record	5-3-2
9-1-0	Last 10 Games	3-3-4
4.60	Goals Per Game	2.05
2.35	Goals Against Per Game	2.05
16.67%	Power Play Percentage	33.33%
79.49%	Penalty Kill Percentage	71.74%

Monsters
7-6-7, 21pts

Day 29

Canucks
8-11-2, 18pts

Team Stats
OTL3	Streak	L1
2-3-5	Home Record	4-5-1
5-3-2	Away Record	4-6-1
3-3-4	Last 10 Games	3-6-1
2.05	Goals Per Game	2.43
2.45	Goals Against Per Game	2.43
33.33%	Power Play Percentage	32.61%
71.74%	Penalty Kill Percentage	64.86%

Heat
10-6-5, 25pts

Day 30

Monsters
7-6-7, 21pts

Team Stats
W2	Streak	OTL3
6-2-2	Home Record	2-3-5
4-4-3	Away Record	5-3-2
6-0-4	Last 10 Games	3-3-4
2.76	Goals Per Game	2.05
2.52	Goals Against Per Game	2.05
26.42%	Power Play Percentage	33.33%
80.00%	Penalty Kill Percentage	71.74%

Team Leaders
	Goals Isak Rosen 12	Assists Cole Guttman 11

	Points Cole Guttman 22	Plus/Minus Tristan Broz 4

	Wins Jacob Ingham 7	Save Percentage Jacob Ingham 0.854

Team Stats
Goals For 41 2.05 GFG	Shots For 252 12.60 Avg	Power Play Percentage 33.3% 13 GF	Offensive Zone Start 32.2%
Goals Against 49 2.45 GAA	Shots Against 323 16.15 Avg	Penalty Kill Percentage 71.7%% 13 GA	Defensive Zone Start 42.1%

Team Info
	General Manager	Trent Zeigler
	Coach	Jim Montgomery
	Division	Division 2
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,143
	Season Tickets	1,500
Roster Info
	Pro Team	24
	Farm Team	18
	Contract Limit	42 / 100
	Prospects	62

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	Isak Rosen (R)			X		100.00	75	67	94	73	68	81	85	69	50	64	73	66	65	46	46	68	56	66	0	22	1	1,450,000$
2	Glenn Gawdin	X				99.00	75	74	77	70	74	82	87	67	80	65	67	65	62	45	45	66	49	65	0	28	2	1,240,000$
3	Cole Guttman	X	X	X		100.00	71	65	85	70	65	81	86	66	80	64	67	63	60	45	45	65	58	64	0	26	1	950,000$
4	Brian Halonen (R)		X			100.00	75	74	78	71	74	77	81	63	50	53	71	63	65	45	45	65	49	63	0	27	1	996,000$
5	Egor Sokolov (R)		X			100.00	84	80	92	68	80	81	87	61	50	56	60	67	58	45	45	65	57	63	0	25	3	1,495,000$
6	Owen Beck (R)	X				100.00	84	45	99	82	72	55	91	59	65	58	55	57	25	46	46	61	50	61	0	21	3	1,333,000$
7	Tristan Broz (R)	X				100.00	77	74	85	67	75	53	52	61	76	55	63	65	60	45	45	62	50	59	0	23	3	1,350,000$
8	Martin Chromiak			X		100.00	78	70	95	67	70	56	55	61	50	56	62	65	59	44	44	64	48	59	0	23	1	820,000$
9	Givani Smith			X		100.00	80	99	63	75	81	45	46	60	25	49	55	67	25	62	63	59	48	58	0	27	2	1,136,000$
10	Trevor Connelly (R)		X			100.00	62	63	60	81	64	38	32	62	50	61	60	57	58	45	45	59	47	57	0	19	3	1,300,000$
11	Jacob Perreault			X		100.00	72	71	74	65	72	61	64	51	50	53	46	59	44	45	45	53	48	55	0	23	3	1,106,000$
12	Adam Raska		X	X		100.00	64	66	60	64	66	67	72	50	50	46	47	55	45	45	45	52	47	54	0	24	3	1,315,000$
13	Tucker Robertson	X				100.00	73	67	89	64	68	56	58	49	63	46	48	60	46	45	45	53	48	54	0	22	3	1,256,000$
14	Valtteri Pulli				X	100.00	86	80	99	81	81	35	31	56	25	56	42	68	37	45	45	54	41	59	0	24	2	800,000$
15	Billy Sweezey				X	100.00	73	74	71	63	74	73	81	46	25	37	39	58	37	45	45	51	41	57	0	29	1	1,000,000$
16	Ben Zloty				X	100.00	73	68	85	81	69	35	32	49	25	42	39	60	37	45	45	51	45	55	0	23	1	1,000,000$
17	Tyson Feist				X	100.00	69	69	68	80	69	35	33	46	25	37	39	56	37	45	45	48	51	53	0	25	2	800,000$
18	Leon Muggli (R)				X	100.00	75	65	99	81	66	32	30	41	25	28	39	58	37	45	45	47	35	53	0	19	3	1,261,000$
19	Braden Hache (R)				X	100.00	66	79	34	63	79	43	42	49	25	41	41	56	39	44	44	48	45	52	0	22	1	1,000,000$
Scratches
1	Connor Clattenburg (R)	X				100.00	83	76	99	80	76	32	30	44	55	38	44	64	42	44	44	52	30	52	0	20	3	1,265,000$
2	Kyle Jackson (R)	X	X	X		100.00	58	72	25	80	72	33	31	44	55	38	44	51	42	44	44	46	30	48	0	23	3	1,467,000$
3	Ethan Frisch				X	41.19	75	69	88	63	69	51	53	48	25	39	42	61	39	45	45	50	40	55	0	25	2	800,000$

	TEAM AVERAGE					97.28	74	71	78	72	72	55	57	55	47	49	52	61	46	46	46	56	46	57

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	Jacob Ingham	100.00	44	40	50	86	45	90	46	51	92	81	45	45	45	59	57	61	0	25	3	1,250,000$
2	Connor Hughes	100.00	52	40	50	93	55	54	56	59	58	58	30	44	44	54	55	57	0	29	1	1,000,000$
Scratches

	TEAM AVERAGE	100.00	48	40	50	90	50	72	51	55	75	70	38	45	45	57	56	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jim Montgomery	80	80	80	80	80	80	80	CAN	51	1	1,600,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Cole Guttman	Monsters (CBJ)	C/LW/RW	20	11	11	22	3	20	10	18	24	49	14	22	22.45%	3	453	22.66	4	6	10	11	31	1	0	1	4	22	1	0	67.03%	182	9	3	0	0.97	1	3	1	0	1	4	0	2
2	Isak Rosen	Monsters (CBJ)	RW	20	12	8	20	0	23	5	21	39	53	12	24	22.64%	8	460	23.01	4	4	8	12	31	0	1	1	0	37	1	1	62.37%	93	16	3	1	0.87	1	1	1	0	0	1	2	0
3	Brian Halonen	Monsters (CBJ)	LW	20	3	6	9	-6	8	0	36	41	16	5	11	18.75%	4	419	21.00	2	2	4	7	31	0	0	0	0	17	0	1	51.15%	131	7	5	0	0.43	3	3	0	0	0	0	2	0
4	Glenn Gawdin	Monsters (CBJ)	C	20	4	5	9	-3	8	0	32	28	30	15	27	13.33%	8	450	22.53	2	1	3	7	23	1	0	1	2	37	0	0	71.88%	32	7	3	0	0.40	1	3	0	0	0	0	1	1
5	Owen Beck	Monsters (CBJ)	C	20	3	4	7	-12	7	5	30	30	23	12	11	13.04%	3	393	19.70	0	2	2	6	24	0	0	0	0	18	2	0	40.00%	45	11	4	0	0.36	0	0	0	0	1	1	1	1
6	Egor Sokolov	Monsters (CBJ)	LW	20	0	4	4	-4	29	15	22	49	5	3	4	0%	3	389	19.48	0	0	0	1	21	0	0	0	0	0	0	0	49.02%	153	1	5	0	0.21	1	3	3	0	0	0	0	0
7	Tristan Broz	Monsters (CBJ)	C	20	2	2	4	4	0	0	18	16	12	2	6	16.67%	3	208	10.41	0	0	0	0	2	0	1	1	1	2	1	0	59.62%	52	0	4	0	0.38	1	1	0	0	0	0	0	1
8	Tyson Feist	Monsters (CBJ)	D	20	1	2	3	-4	7	5	14	21	5	4	1	20.00%	6	345	17.28	1	0	1	1	13	0	1	1	2	32	0	0	0%	0	1	5	0	0.17	0	0	1	0	0	0	0	0
9	Valtteri Pulli	Monsters (CBJ)	D	11	0	3	3	1	0	0	7	20	9	4	3	0%	8	234	21.28	0	1	1	0	9	0	0	0	0	13	0	0	0%	0	4	8	0	0.26	0	0	0	0	0	0	1	0
10	Ethan Frisch	Monsters (CBJ)	D	16	0	3	3	-5	2	0	12	22	8	4	2	0%	11	381	23.82	0	0	0	1	16	0	0	0	0	27	0	0	0%	0	5	4	0	0.16	0	0	0	0	0	0	0	0
11	Billy Sweezey	Monsters (CBJ)	D	20	0	3	3	-8	39	15	21	34	9	8	5	0%	18	498	24.95	0	2	2	3	34	0	0	0	0	36	0	0	0%	0	3	7	0	0.12	0	0	1	2	0	0	0	0
12	Leon Muggli	Monsters (CBJ)	D	20	0	3	3	1	5	5	5	29	5	3	3	0%	6	332	16.61	0	2	2	3	20	0	0	0	0	11	0	0	0%	0	1	2	0	0.18	0	0	0	1	0	0	0	0
13	Adam Raska	Monsters (CBJ)	LW/RW	20	2	0	2	-5	4	0	31	17	7	2	3	28.57%	4	325	16.27	0	0	0	0	4	1	0	1	2	19	0	0	75.00%	4	3	6	0	0.12	0	0	0	0	0	0	0	1
14	Jacob Perreault	Monsters (CBJ)	RW	20	0	1	1	-2	4	0	28	14	4	0	6	0%	0	247	12.39	0	0	0	0	1	0	0	0	0	0	0	0	50.00%	2	3	3	0	0.08	0	0	0	0	0	0	0	0
15	Givani Smith	Monsters (CBJ)	RW	20	1	0	1	-1	8	0	11	3	6	0	1	16.67%	0	93	4.69	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	2	2	0	0.21	0	0	0	0	0	0	0	0
16	Tucker Robertson	Monsters (CBJ)	C	20	0	0	0	0	0	0	1	0	0	0	0	0%	0	43	2.15	0	0	0	0	0	0	0	0	0	0	0	0	28.57%	7	0	0	0	0	0	1	0	0	0	0	0	0
17	Martin Chromiak	Monsters (CBJ)	RW	20	0	0	0	0	0	0	0	0	0	0	0	0%	0	7	0.37	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	1	1	0	0	0	0	0	0
18	Braden Hache	Monsters (CBJ)	D	13	0	0	0	2	10	0	9	5	1	0	0	0%	0	143	11.00	0	0	0	0	0	0	0	0	0	4	0	0	0%	0	1	1	0	0	0	0	0	0	0	0	0	0
19	Trevor Connelly	Monsters (CBJ)	LW	20	0	0	0	-2	6	0	10	10	3	5	4	0%	0	131	6.58	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	1	0	0	0	0	0	0
20	Ben Zloty	Monsters (CBJ)	D	20	0	0	0	-1	7	5	10	23	7	5	3	0%	12	430	21.53	0	0	0	1	20	0	0	0	0	28	0	0	0%	0	3	8	0	0	0	0	0	1	0	0	0	0
Team Total or Average				380	39	55	94	-42	187	65	336	425	252	98	136	15.48%	97	5990	15.76	13	20	33	53	289	3	3	6	11	308	5	2	56.98%	702	77	73	1	0.31	9	17	7	4	2	6	7	6

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	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Jacob Ingham	Monsters (CBJ)	20	7	5	7	0.854	2.28	1159	5	44	301	139	1	0.529	17	20	0	1	2	2
2	Connor Hughes	Monsters (CBJ)	2	0	1	0	0.818	4.00	60	0	4	22	13	0	0	0	0	20	0	0	0
Team Total or Average			22	7	6	7	0.851	2.36	1219	5	48	323	152	1		17	20	20	1	2	2

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	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
Adam Raska	Monsters (CBJ)	LW/RW	24	2001-09-25	CZE	No	185 Lbs	5 ft10	No	No	N/A	No	No	3	2025-10-22	False	False	Pro & Farm	1,315,000$	1,009,732$	0$	0$	No	1,315,000$	1,315,000$	-	-	-	-	-	-	-	1,315,000$	1,315,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ben Zloty	Monsters (CBJ)	D	23	2002-02-24	AB	No	187 Lbs	6 ft0	No	No	Assign Manually	No	No	1	2025-12-08	False	False	Pro & Farm	1,000,000$	767,857$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Billy Sweezey	Monsters (CBJ)	D	29	1996-02-06	USA	No	204 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2025-12-08	False	False	Pro & Farm	1,000,000$	767,857$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Braden Hache	Monsters (CBJ)	D	22	2003-05-21	USA	Yes	210 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2026-01-02	False	False	Pro & Farm	1,000,000$	767,857$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Brian Halonen	Monsters (CBJ)	LW	27	1999-01-11	USA	Yes	207 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	996,000$	764,786$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Cole Guttman	Monsters (CBJ)	C/LW/RW	26	1999-04-06	USA	No	181 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Pro & Farm	950,000$	729,464$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Connor Clattenburg	Monsters (CBJ)	C	20	2005-05-02	ON	Yes	205 Lbs	6 ft2	No	No	Draft	No	No	3	2025-10-22	False	False	Pro & Farm	1,265,000$	971,339$	0$	0$	No	1,265,000$	1,265,000$	-	-	-	-	-	-	-	1,265,000$	1,265,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Connor Hughes	Monsters (CBJ)	G	29	1996-09-10	SWI	No	231 Lbs	6 ft4	No	No	Assign Manually	No	No	1	2025-12-08	False	False	Pro & Farm	1,000,000$	767,857$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Egor Sokolov	Monsters (CBJ)	LW	25	2000-06-07	RUS	Yes	217 Lbs	6 ft3	No	No	Draft	No	No	3	2025-10-22	False	False	Pro & Farm	1,495,000$	1,147,946$	0$	0$	No	1,495,000$	1,495,000$	-	-	-	-	-	-	-	1,495,000$	1,495,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ethan Frisch (Out of Payroll)	Monsters (CBJ)	D	25	2000-10-29	USA	No	192 Lbs	5 ft11	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	800,000$	614,286$	0$	0$	Yes	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Givani Smith	Monsters (CBJ)	RW	27	1998-02-27	CAN	No	214 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	1,136,000$	872,286$	0$	0$	No	1,136,000$	-	-	-	-	-	-	-	-	1,136,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Glenn Gawdin	Monsters (CBJ)	C	28	1997-03-25	CAN	No	201 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	1,240,000$	952,143$	0$	0$	No	1,240,000$	-	-	-	-	-	-	-	-	1,240,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Isak Rosen	Monsters (CBJ)	RW	22	2003-03-15	SWE	Yes	180 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	1,450,000$	1,113,393$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jacob Ingham	Monsters (CBJ)	G	25	2000-06-10	ONT	No	205 Lbs	6 ft5	No	No	N/A	No	No	3	2025-12-08	False	False	Pro & Farm	1,250,000$	959,821$	0$	0$	No	1,250,000$	1,250,000$	-	-	-	-	-	-	-	1,250,000$	1,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jacob Perreault	Monsters (CBJ)	RW	23	2002-04-15	CAN	No	196 Lbs	6 ft0	No	No	N/A	No	No	3	2025-10-17	False	False	Pro & Farm	1,106,000$	849,250$	0$	0$	No	1,106,000$	1,106,000$	-	-	-	-	-	-	-	1,106,000$	1,106,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Kyle Jackson	Monsters (CBJ)	C/LW/RW	23	2002-10-17	CAN	Yes	192 Lbs	6 ft2	No	No	Prospect	No	No	3	2025-10-22	False	False	Pro & Farm	1,467,000$	1,126,446$	0$	0$	No	1,467,000$	1,467,000$	-	-	-	-	-	-	-	1,467,000$	1,467,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Leon Muggli	Monsters (CBJ)	D	19	2006-07-09	SWI	Yes	173 Lbs	6 ft1	No	No	Draft	No	No	3	2025-10-22	False	False	Pro & Farm	1,261,000$	968,268$	0$	0$	No	1,261,000$	1,261,000$	-	-	-	-	-	-	-	1,261,000$	1,261,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Martin Chromiak	Monsters (CBJ)	RW	23	2002-08-20	SVK	No	190 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	820,000$	629,643$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Owen Beck	Monsters (CBJ)	C	21	2004-02-03	CAN	Yes	199 Lbs	6 ft0	No	No	Prospect	No	No	3	2025-10-22	False	False	Pro & Farm	1,333,000$	1,023,554$	0$	0$	No	1,333,000$	1,333,000$	-	-	-	-	-	-	-	1,333,000$	1,333,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Trevor Connelly	Monsters (CBJ)	LW	19	2006-02-28	USA	Yes	165 Lbs	6 ft1	No	No	Draft	No	No	3	2025-10-22	False	False	Pro & Farm	1,300,000$	998,214$	0$	0$	No	1,300,000$	1,300,000$	-	-	-	-	-	-	-	1,300,000$	1,300,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Tristan Broz	Monsters (CBJ)	C	23	2002-10-10	USA	Yes	205 Lbs	6 ft0	No	No	Prospect	No	No	3	2025-10-22	False	False	Pro & Farm	1,350,000$	1,036,607$	0$	0$	No	1,350,000$	1,350,000$	-	-	-	-	-	-	-	1,350,000$	1,350,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Tucker Robertson	Monsters (CBJ)	C	22	2003-06-22	CAN	No	189 Lbs	5 ft11	No	No	N/A	No	No	3	2025-10-22	False	False	Pro & Farm	1,256,000$	964,429$	0$	0$	No	1,256,000$	1,256,000$	-	-	-	-	-	-	-	1,256,000$	1,256,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Tyson Feist	Monsters (CBJ)	D	25	2001-01-14	BC	No	181 Lbs	6 ft2	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	800,000$	614,286$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Valtteri Pulli	Monsters (CBJ)	D	24	2001-03-13	FIN	No	209 Lbs	6 ft6	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	800,000$	614,286$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	23.92	197 Lbs	6 ft1	2.13	1,141,250$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Cole Guttman	Egor Sokolov	Isak Rosen	40	1	2	2
2	Owen Beck	Brian Halonen	Glenn Gawdin	30	1	2	2
3	Glenn Gawdin	Cole Guttman	Isak Rosen	20	1	2	2
4	Glenn Gawdin	Brian Halonen	Isak Rosen	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Billy Sweezey	Valtteri Pulli	40	1	2	2
2	Ben Zloty	Leon Muggli	30	1	2	2
3	Billy Sweezey	Ben Zloty	20	1	2	2
4	Billy Sweezey	Ben Zloty	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Isak Rosen	Cole Guttman	Brian Halonen	60	1	2	2
2	Glenn Gawdin	Egor Sokolov	Owen Beck	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Leon Muggli	Billy Sweezey	60	1	2	2
2	Ben Zloty	Tyson Feist	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Isak Rosen	Glenn Gawdin	60	1	2	2
2	Cole Guttman	Brian Halonen	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Billy Sweezey	Tyson Feist	60	1	2	2
2	Leon Muggli	Ben Zloty	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Glenn Gawdin	60	1	2	2	Ben Zloty	Leon Muggli	60	1	2	2
2	Isak Rosen	40	1	2	2	Billy Sweezey	Tyson Feist	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Isak Rosen	Glenn Gawdin	60	1	2	2
2	Brian Halonen	Cole Guttman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Billy Sweezey	Ben Zloty	60	1	2	2
2	Leon Muggli	Valtteri Pulli	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Glenn Gawdin	Isak Rosen	Cole Guttman	Billy Sweezey	Ben Zloty

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Glenn Gawdin	Isak Rosen	Cole Guttman	Billy Sweezey	Ben Zloty

Extra Forwards
Normal	PowerPlay	Penalty Kill
Glenn Gawdin, Isak Rosen, Brian Halonen	Glenn Gawdin, Isak Rosen	Glenn Gawdin

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ben Zloty, Leon Muggli, Billy Sweezey	Billy Sweezey	Ben Zloty, Billy Sweezey

Penalty Shots
Cole Guttman, Glenn Gawdin, Egor Sokolov, Brian Halonen, Isak Rosen

Goalie
#1 : Jacob Ingham, #2 : Connor Hughes

Custom OT Lines Forwards
Brian Halonen, Egor Sokolov, Cole Guttman, Owen Beck, Isak Rosen, Tristan Broz, Givani Smith, Martin Chromiak, Glenn Gawdin, Trevor Connelly

Custom OT Lines Defensemen
Leon Muggli, Billy Sweezey, Braden Hache, Ben Zloty, Tyson Feist

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	Barracuda	2	0	1	0	0	1	0	0	1	3	-2	1	0	1	0	0	0	0	0	0	1	-1	1	0	0	0	0	1	0	0	1	2	-1	1	0.250	1	2	3	0	0	3	16	18	11	14	36	93	114	26	13	4	24	41	3	1	33.33%	2	0	100.00%	0	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
2	Canucks	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	1	2	0	0	3	16	18	11	11	36	93	114	26	11	4	21	12	1	0	0.00%	3	0	100.00%	0	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
3	Comets	2	2	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	6	2	4	4	1.000	6	7	13	0	1	3	16	18	11	23	36	93	114	26	48	14	22	35	7	3	42.86%	6	0	100.00%	0	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
4	IceHogs	2	0	0	0	0	1	1	0	6	6	0	2	0	0	0	0	1	1	0	6	6	0	0	0	0	0	0	0	0	0	0	0	0	3	0.750	6	7	13	0	1	3	16	18	11	33	36	93	114	26	35	7	4	46	6	2	33.33%	2	1	50.00%	0	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
5	Islanders	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	2	4	0	0	3	16	18	11	18	36	93	114	26	27	10	8	12	2	1	50.00%	4	1	75.00%	0	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
6	Moose	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	6	9	0	0	3	16	18	11	15	36	93	114	26	18	4	14	11	2	2	100.00%	2	0	100.00%	0	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
7	Rocket	4	0	1	0	1	1	1	0	5	6	-1	3	0	1	0	1	1	0	0	4	6	-2	1	0	0	0	0	0	1	0	1	0	1	5	0.625	5	5	10	0	2	3	16	18	11	35	36	93	114	26	34	11	16	60	2	1	50.00%	8	4	50.00%	2	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
8	Senators	2	1	1	0	0	0	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	6	7	-1	2	0.500	6	8	14	0	1	3	16	18	11	24	36	93	114	26	52	13	12	37	5	0	0.00%	6	2	66.67%	0	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
9	Silver Knights	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	3	4	-1	1	0.500	3	4	7	0	0	3	16	18	11	17	36	93	114	26	14	5	17	17	2	0	0.00%	1	1	0.00%	0	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
10	Stars	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	3	16	18	11	15	36	93	114	26	12	7	6	22	3	1	33.33%	3	0	100.00%	0	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
11	Thunderbirds	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	3	6	0	0	3	16	18	11	24	36	93	114	26	33	4	9	11	5	2	40.00%	2	2	0.00%	1	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
12	Wolves	2	0	1	0	0	0	0	1	2	6	-4	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	0	3	-3	1	0.250	2	4	6	0	0	3	16	18	11	23	36	93	114	26	26	14	34	32	1	0	0.00%	7	2	71.43%	0	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
	Total	20	3	6	0	2	6	2	1	41	49	-8	10	0	3	0	1	4	1	1	19	26	-7	10	3	3	0	1	2	1	0	22	23	-1	21	0.525	41	55	96	0	5	3	16	18	11	252	36	93	114	26	323	97	187	336	39	13	33.33%	46	13	71.74%	3	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
	_Since Last GM Reset	20	3	6	0	2	6	2	1	41	49	-8	10	0	3	0	1	4	1	1	19	26	-7	10	3	3	0	1	2	1	0	22	23	-1	21	0.525	41	55	96	0	5	3	16	18	11	252	36	93	114	26	323	97	187	336	39	13	33.33%	46	13	71.74%	3	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
	_Vs Conference	16	3	4	0	1	5	2	1	30	36	-6	8	0	2	0	1	3	1	1	13	18	-5	8	3	2	0	0	2	1	0	17	18	-1	18	0.563	30	38	68	0	5	3	16	18	11	180	36	93	114	26	233	72	150	280	27	7	25.93%	35	10	71.43%	2	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259
	_Vs Division	5	3	4	0	1	3	2	1	15	16	-1	4	0	2	0	1	2	1	1	12	14	-2	1	3	2	0	0	1	1	0	3	2	1	16	1.600	15	22	37	0	1	3	16	18	11	87	36	93	114	26	98	22	33	90	16	7	43.75%	9	3	66.67%	1	132	217	60.83%	162	284	57.04%	106	173	61.27%	325	102	365	234	531	259

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
20	21	OTL3	41	55	96	252	323	97	187	336	0	5

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	3	6	2	6	2	1	41	49

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	0	3	1	4	1	1	19	26

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	3	3	1	2	1	0	22	23

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	3	0	4	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
39	13	33.33%	46	13	71.74%	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
36	93	114	26	3	16	18	11

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
132	217	60.83%	162	284	57.04%	106	173	61.27%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
325	102	365	234	531	259

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	6	Rocket	2	Monsters	1	L	X		Box score
2	21	Monsters	1	Rocket	0	W	X	X	Box score
4	43	Wolves	3	Monsters	2	L	X	X	Box score
5	51	Monsters	4	Senators	7	L			Box score
7	70	Rocket	0	Monsters	1	W	X		Box score
9	97	IceHogs	0	Monsters	1	W	X	X	Box score
10	103	Monsters	3	Comets	2	W			Box score
11	126	Monsters	0	Wolves	3	L			Box score
12	136	Barracuda	1	Monsters	0	L			Box score
13	148	Monsters	1	Barracuda	2	L	X		Box score
15	170	Rocket	4	Monsters	2	L			Box score
16	184	Monsters	3	Stars	2	W	X		Box score
17	197	Monsters	2	Senators	0	W			Box score
18	213	Thunderbirds	4	Monsters	3	L			Box score
19	231	IceHogs	6	Monsters	5	L	X		Box score
20	245	Monsters	2	Islanders	3	L			Box score
22	258	Monsters	3	Comets	0	W			Box score
23	271	Canucks	2	Monsters	1	L	X		Box score
24	289	Moose	4	Monsters	3	L	X		Box score
26	305	Monsters	3	Silver Knights	4	L	X		Box score
27	320	Wild	-	Monsters	-
29	335	Monsters	-	Canucks	-
30	352	Heat	-	Monsters	-
31	375	Wolves	-	Monsters	-
32	384	Monsters	-	Griffins	-
33	398	Monsters	-	Condors	-
34	413	Reign	-	Monsters	-
35	433	Monsters	-	Bears	-
36	442	Monsters	-	Crunch	-
37	458	Rocket	-	Monsters	-
39	475	Senators	-	Monsters	-
40	494	Monsters	-	Checkers	-
41	507	Condors	-	Monsters	-
42	526	Monsters	-	Senators	-
43	537	Monsters	-	Thunderbirds	-
44	550	Admirals	-	Monsters	-
45	566	Wolf Pack	-	Monsters	-
46	584	Monsters	-	Islanders	-
47	598	Monsters	-	Moose	-
48	611	Penguins	-	Monsters	-
49	628	Bruins	-	Monsters	-
51	657	Islanders	-	Monsters	-
53	674	Monsters	-	Bruins	-
54	689	Silver Knights	-	Monsters	-
55	708	Monsters	-	Stars	-
56	719	Checkers	-	Monsters	-
57	735	Monsters	-	Reign	-
59	751	Americans	-	Monsters	-
60	769	Monsters	-	Penguins	-
61	780	Gulls	-	Monsters	-
63	803	Monsters	-	Heat	-
64	812	IceHogs	-	Monsters	-
65	824	Monsters	-	Barracuda	-
67	844	Comets	-	Monsters	-
68	856	Monsters	-	Americans	-
69	871	Monsters	-	Marlies	-
70	884	Crunch	-	Monsters	-
72	905	Barracuda	-	Monsters	-
73	915	Monsters	-	Rocket	-
74	927	Monsters	-	Barracuda	-
75	942	Marlies	-	Monsters	-
77	964	Griffins	-	Monsters	-
79	975	Monsters	-	Wolf Pack	-
80	997	Bears	-	Monsters	-
81	1003	Monsters	-	Phantoms	-
82	1021	Monsters	-	Roadrunners	-
83	1036	Bears	-	Monsters	-
85	1056	Griffins	-	Monsters	-
86	1065	Monsters	-	Gulls	-
88	1083	Monsters	-	Admirals	-
89	1098	Roadrunners	-	Monsters	-
90	1116	Monsters	-	Wolves	-
91	1126	Monsters	-	Americans	-
92	1139	Phantoms	-	Monsters	-
94	1158	Wolves	-	Monsters	-
96	1180	Monsters	-	Eagles	-
Trade Deadline --- Trades can’t be done after this day is simulated!
97	1194	Comets	-	Monsters	-
98	1201	Monsters	-	IceHogs	-
99	1220	Eagles	-	Monsters	-
100	1231	Monsters	-	Wild	-
101	1239	Monsters	-	IceHogs	-
102	1246	Monsters	-	Wolf Pack	-
104	1264	Thunderbirds	-	Monsters	-
106	1290	Senators	-	Monsters	-
108	1311	Stars	-	Monsters	-
110	1321	Monsters	-	Comets	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	13,548	7,879
Attendance PCT	67.74%	78.79%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
33	2143 - 71.42%	88,262$	882,624$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
993,338$	2,659,000$	2,659,000$	1,600,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
23,741$	621,902$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,912,659$	86	38,027$	3,270,322$

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

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

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

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

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

	Monsters
	GP: 20 \| W: 7 \| L: 6 \| OTL: 7 \| P: 21 GF: 41 \| GA: 49 \| PP%: 33.33% \| PK%: 71.74% GM : Trent Zeigler \| Morale : 43 \| Team Overall : 58 Next Games #320 vs Wild