Blue Jackets
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats
Web Lines Editor

Game Center
	Monsters 5-10-1, 11pts	1	FINAL	6	Wranglers 14-2-0, 28pts

Team Stats
W1	Streak	L1
4-3-1	Home Record	8-0-0
1-7-0	Home Record	6-2-0
4-5-1	Last 10 Games	8-2-0
2.56	Goals Per Game	4.69
4.19	Goals Against Per Game	1.69
12.07%	Power Play Percentage	17.50%
78.18%	Penalty Kill Percentage	86.52%

Crunch
9-6-1, 19pts

FINAL

Monsters
5-10-1, 11pts

Team Stats
L3	Streak	W1
4-3-1	Home Record	4-3-1
5-3-0	Home Record	1-7-0
5-4-1	Last 10 Games	4-5-1
3.00	Goals Per Game	2.56
2.31	Goals Against Per Game	4.19
23.53%	Power Play Percentage	12.07%
87.88%	Penalty Kill Percentage	78.18%

Team Leaders
	Goals Aidan McDonough 9	Assists John Farinacci 13

	Points John Farinacci 20	Plus/Minus John Farinacci 7

	Wins Dylan Garand 5	Save Percentage Dylan Garand 0.887

Team Stats
Goals For 41 2.56 GFG	Shots For 341 21.31 Avg	Power Play Percentage 12.1% 7 GF	Offensive Zone Start 32.6%
Goals Against 67 4.19 GAA	Shots Against 574 35.88 Avg	Penalty Kill Percentage 78.2%% 12 GA	Defensive Zone Start 46.0%

Team Info
	General Manager	Tyler Bell
	Coach	Marco Sturm
	Division	North
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	1,200
Roster Info
	Pro Team	26
	Farm Team	20
	Contract Limit	46 / 51
	Prospects	50
Team History
	This Season	5-10-1 (11PTS)
	History	0-0-0


	Stanley Cup	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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Arttu Hyry (R)		X	X		100.00	83	79	93	72	79	82	87	64	50	59	65	69	62	44	44	68	50	65	0	24	1	870,000$
2	Marat Khusnutdinov (R)	X				100.00	69	42	91	75	64	62	92	63	64	59	58	75	25	55	55	65	50	64	0	23	2	925,000$
3	Lukas Reichel	X	X			100.00	61	41	94	82	64	61	87	67	59	65	60	64	25	61	61	65	50	64	0	23	1	1,000,000$
4	Raphael Lavoie (R)	X		X		100.00	79	81	73	76	81	65	66	62	78	53	67	66	64	45	45	67	50	63	0	25	1	800,000$
5	Valtteri Puustinen		X	X		100.00	71	42	90	82	65	55	77	67	25	58	68	64	25	52	52	68	50	63	0	26	1	775,000$
6	Jack Finley (R)	X	X	X		100.00	84	85	82	65	85	60	60	64	80	59	65	69	62	44	44	66	50	62	0	23	1	797,500$
7	Jared Davidson	X	X			100.00	71	67	79	66	67	79	84	62	78	54	65	62	62	44	44	64	50	62	0	23	2	775,000$
8	John Farinacci (R)	X				100.00	78	70	97	64	70	72	75	61	76	62	56	65	53	44	44	63	50	61	0	24	2	925,000$
9	Danila Klimovich			X		100.00	75	75	74	65	75	76	80	60	50	50	65	64	62	44	44	64	50	61	0	22	3	900,000$
10	Nikita Prishchepov (R)	X				100.00	73	71	78	70	71	72	76	58	73	54	57	62	54	44	44	61	50	60	0	21	3	806,667$
11	Aidan McDonough		X			100.00	75	75	74	64	75	48	43	67	50	59	72	65	68	44	44	66	50	60	0	25	2	925,000$
12	Eduard Sale (R)		X			100.00	73	65	91	65	65	65	68	55	50	56	50	61	48	44	44	58	50	57	0	20	3	918,333$
13	Keaton Middleton				X	100.00	82	79	80	68	92	57	75	61	25	44	47	76	25	48	48	59	50	65	0	27	4	850,000$
14	Kirill Kudryavtsev (R)				X	100.00	77	72	89	67	72	75	82	51	25	47	41	62	39	44	44	55	50	61	0	21	3	825,000$
15	Cole McWard				X	100.00	77	71	91	67	71	76	83	51	25	46	42	62	40	44	44	56	50	61	0	24	1	925,000$
16	Samuel Johannesson				X	100.00	75	66	96	66	66	77	83	53	25	50	41	62	39	44	44	56	50	60	0	24	3	870,000$
17	Jeremy Hanzel				X	100.00	77	74	85	80	74	53	56	41	25	28	39	60	37	44	44	50	50	57	0	22	3	852,000$
Scratches
1	Dans Locmelis (R)	X				100.00	55	40	99	80	65	28	50	60	25	50	55	65	25	44	44	58	50	56	0	21	3	775,000$
2	Lukas Svejkovsky	X	X	X		100.00	68	60	85	80	60	36	32	52	50	38	61	58	58	44	44	57	50	54	0	23	1	859,167$
3	Blake Biondi (R)	X				100.00	80	72	99	80	72	35	33	44	55	38	44	62	42	44	44	52	50	52	0	23	3	775,000$
4	Marshall Warren (R)				X	100.00	72	68	80	64	68	49	50	50	25	43	41	60	39	44	44	51	50	55	0	24	3	825,000$
5	Ethan Edwards (R)				X	100.00	71	71	72	61	71	50	50	51	25	49	39	59	37	44	44	51	50	55	0	23	3	925,000$
6	Graham Sward				X	100.00	82	74	99	80	74	33	31	41	25	28	39	62	37	44	44	50	50	55	0	22	3	775,000$
7	Connor Kelley (R)				X	100.00	81	73	99	80	73	32	30	41	25	28	39	62	37	44	44	50	50	54	0	23	3	775,000$

	TEAM AVERAGE					100.00	75	67	87	72	72	58	65	56	45	49	53	64	44	46	46	59	50	59

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	89	45	49	90	81	45	44	44	60	50	61	0	25	2	950,000$
2	Dylan Garand	100.00	58	52	65	66	61	62	53	61	61	59	30	44	44	58	50	58	0	23	1	925,000$
Scratches

	TEAM AVERAGE	100.00	51	46	58	76	53	76	49	55	76	70	38	44	44	59	50	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Marco Sturm	71	72	69	73	69	65	81	DEU	45	2	750,000$

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	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	FL	FT	S1	S2	S3
1	John Farinacci	Monsters (CLB)	C	16	7	13	20	7	13	5	11	29	62	17	49	11.29%	9	253	15.83	1	4	0	0	0	60.66%	61	1.58	1	0	2	2	1
2	Aidan McDonough	Monsters (CLB)	LW	16	9	5	14	2	8	0	33	17	45	9	45	20.00%	15	182	11.38	0	0	0	0	0	40.00%	10	1.54	0	0	0	0	0
3	Jack Finley	Monsters (CLB)	C/LW/RW	16	9	4	13	6	26	10	25	60	57	14	47	15.79%	4	219	13.75	0	4	0	1	1	66.42%	265	1.18	0	2	0	2	1
4	Cole McWard	Monsters (CLB)	D	16	2	5	7	-3	41	5	60	16	12	3	7	16.67%	18	234	14.67	0	5	1	0	0	0%	0	0.60	0	1	0	1	1
5	Jared Davidson	Monsters (CLB)	C/LW	16	0	0	0	-1	0	0	0	0	0	0	0	0%	0	1	0.12	0	0	0	0	0	0%	1	0	0	0	0	0	0
Team Total or Average				80	27	27	54	11	88	20	129	122	176	43	148	15.34%	46	892	11.15	1	13	1	1	1	64.39%	337	1.21	1	3	2	5	3

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	Dylan Garand	Monsters (CLB)	16	5	10	1	0.887	3.98	874	0	0	58	514	0	1	0	0	0	16	0	3	0	0
Team Total or Average			16	5	10	1	0.887	3.98	874	0	0	58	514	0	1	0		0	16	0	3	0	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
Aidan McDonough	Monsters (CLB)	LW	25	1999-11-06	USA	No	201 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2024-06-30	False	False	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Arttu Hyry	Monsters (CLB)	LW/RW	24	2001-04-06	FIN	Yes	214 Lbs	6 ft3	No	No	Free Agent		No	No	1	2025-08-07	False	False	Pro & Farm	870,000$	870,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Blake Biondi	Monsters (CLB)	C	23	2002-04-24	USA	Yes	198 Lbs	6 ft1	No	No	Draft		No	No	3	2025-08-03	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Cole McWard	Monsters (CLB)	D	24	2001-06-09	USA	No	192 Lbs	6 ft1	No	No	Free Agent		No	No	1	2024-08-04	False	False	Pro & Farm	925,000$	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Connor Kelley	Monsters (CLB)	D	23	2002-07-30	USA	Yes	195 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2025-08-03	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Danila Klimovich	Monsters (CLB)	RW	22	2003-01-09	BLR	No	202 Lbs	6 ft2	No	No	Free Agent		No	No	3	2025-08-15	False	False	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Dans Locmelis	Monsters (CLB)	C	21	2004-01-21	LAT	Yes	177 Lbs	6 ft0	No	No	Prospect		No	No	3	2025-08-15	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Dylan Garand	Monsters (CLB)	G	23	2002-06-07	CAN	No	176 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Eduard Sale	Monsters (CLB)	LW	20	2005-03-10	CZE	Yes	170 Lbs	6 ft1	No	No	Prospect		No	No	3	2025-06-14	False	False	Pro & Farm	918,333$	918,333$	0$	0$	No	918,333$	918,333$	-	-	-	-	-	-	-	918,333$	918,333$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ethan Edwards	Monsters (CLB)	D	23	2002-06-06	CAN	Yes	195 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2025-08-03	False	False	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Graham Sward	Monsters (CLB)	D	22	2003-09-12	CAN	No	192 Lbs	6 ft4	No	No	Draft		No	No	3	2025-08-19	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jack Finley	Monsters (CLB)	C/LW/RW	23	2002-09-02	USA	Yes	220 Lbs	6 ft6	No	No	N/A		No	No	1		False	False	Pro & Farm	797,500$	797,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jacob Ingham	Monsters (CLB)	G	25	2000-06-10	ONT	No	205 Lbs	6 ft5	No	No	Assign Manually		No	No	2	2024-12-09	False	False	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jared Davidson	Monsters (CLB)	C/LW	23	2002-07-07	CAN	No	183 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2024-06-30	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jeremy Hanzel	Monsters (CLB)	D	22	2003-02-27	CAN	No	200 Lbs	6 ft1	No	No	Draft		No	No	3	2025-08-10	False	False	Pro & Farm	852,000$	852,000$	0$	0$	No	852,000$	852,000$	-	-	-	-	-	-	-	852,000$	852,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
John Farinacci	Monsters (CLB)	C	24	2001-02-14	USA	Yes	197 Lbs	5 ft11	No	No	Assign Manually		No	No	2	2024-06-30	False	False	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Keaton Middleton	Monsters (CLB)	D	27	1998-02-10	CAN	No	240 Lbs	6 ft6	No	No	Free Agent	2024-11-24	No	No	4	2025-08-15	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	850,000$	850,000$	-	-	-	-	-	-	850,000$	850,000$	850,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Kirill Kudryavtsev	Monsters (CLB)	D	21	2004-02-05	RUS	Yes	200 Lbs	5 ft11	No	No	Prospect		No	No	3	2025-06-14	False	False	Pro & Farm	825,000$	825,000$	0$	0$	No	825,000$	825,000$	-	-	-	-	-	-	-	825,000$	825,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Lukas Reichel	Monsters (CLB)	C/LW	23	2002-05-17	GER	No	170 Lbs	6 ft0	No	No	Free Agent		No	No	1	2025-08-15	False	False	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Lukas Svejkovsky	Monsters (CLB)	C/LW/RW	23	2001-11-28	USA	No	165 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	859,167$	859,167$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Marat Khusnutdinov	Monsters (CLB)	C	23	2002-07-17	RUS	Yes	176 Lbs	5 ft11	No	No	Assign Manually		No	No	2	2024-06-30	False	False	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Marshall Warren	Monsters (CLB)	D	24	2001-04-20	USA	Yes	185 Lbs	6 ft0	No	No	Trade		No	No	3	2025-08-10	False	False	Pro & Farm	825,000$	825,000$	0$	0$	No	825,000$	825,000$	-	-	-	-	-	-	-	825,000$	825,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Nikita Prishchepov	Monsters (CLB)	C	21	2004-02-20	RUS	Yes	194 Lbs	6 ft1	No	No	Draft		No	No	3	2025-08-10	False	False	Pro & Farm	806,667$	806,667$	0$	0$	No	806,667$	806,667$	-	-	-	-	-	-	-	806,667$	806,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Raphael Lavoie	Monsters (CLB)	C/RW	25	2000-09-25	CAN	Yes	215 Lbs	6 ft4	No	No	Free Agent	2024-03-17	No	No	1	2025-08-15	False	False	Pro & Farm	800,000$	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Samuel Johannesson	Monsters (CLB)	D	24	2000-12-27	SWE	No	181 Lbs	5 ft11	No	No	Draft		No	No	3	2025-08-10	False	False	Pro & Farm	870,000$	870,000$	0$	0$	No	870,000$	870,000$	-	-	-	-	-	-	-	870,000$	870,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Valtteri Puustinen	Monsters (CLB)	LW/RW	26	1999-06-04	FIN	No	182 Lbs	5 ft10	No	No	Free Agent		No	No	1	2025-08-15	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	23.23	193 Lbs	6 ft1	2.23	858,603$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2		Jack Finley	John Farinacci	30	1	2	2
3			Aidan McDonough	20	1	2	2
4	Aidan McDonough	John Farinacci		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2		Cole McWard	30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2		Jack Finley	John Farinacci	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2		Cole McWard	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2		Cole McWard	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2		Cole McWard	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2		Cole McWard	40	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
Jared Davidson, ,	Jared Davidson,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , , Jack Finley

Goalie
#1 : Dylan Garand, #2 :

Custom OT Lines Forwards
, , , , Jack Finley, , , John Farinacci, Aidan McDonough, Jared Davidson

Custom OT Lines Defensemen
, , , Cole McWard,

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	Canucks	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	4	7	0	0	13	18	9	1	28	119	112	109	1	83	31	31	32	8	1	12.50%	7	1	85.71%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
2	Comets	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	4	7	-3	2	0.500	6	11	17	0	0	13	18	9	1	59	119	112	109	1	62	34	20	49	6	2	33.33%	10	1	90.00%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
3	Crunch	2	1	1	0	0	0	0	0	8	12	-4	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	3	10	-7	2	0.500	8	13	21	0	0	13	18	9	1	24	119	112	109	1	75	22	36	26	3	1	33.33%	11	5	54.55%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
4	Griffins	2	0	1	0	1	0	0	0	7	7	0	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	7	11	18	0	0	13	18	9	1	79	119	112	109	1	73	15	12	48	2	1	50.00%	6	0	100.00%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
5	Marlies	2	1	1	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	1	2	2	0.500	5	9	14	0	0	13	18	9	1	39	119	112	109	1	60	10	10	26	10	1	10.00%	4	0	100.00%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
6	Rocket	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	3	6	9	0	0	13	18	9	1	41	119	112	109	1	65	18	16	35	11	0	0.00%	7	3	57.14%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
7	Senators	2	1	1	0	0	0	0	0	4	8	-4	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	4	7	11	0	0	13	18	9	1	34	119	112	109	1	90	27	12	22	9	1	11.11%	6	0	100.00%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
8	Wranglers	2	0	1	0	0	1	0	0	5	11	-6	1	0	0	0	0	1	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	6	-5	1	0.250	5	8	13	0	0	13	18	9	1	37	119	112	109	1	66	18	8	31	9	0	0.00%	4	2	50.00%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
	Total	16	4	10	0	1	1	0	0	41	67	-26	8	3	3	0	1	1	0	0	23	24	-1	8	1	7	0	0	0	0	0	18	43	-25	11	0.344	41	69	110	0	0	13	18	9	1	341	119	112	109	1	574	175	145	269	58	7	12.07%	55	12	78.18%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
	_Since Last GM Reset	16	4	10	0	1	1	0	0	41	67	-26	8	3	3	0	1	1	0	0	23	24	-1	8	1	7	0	0	0	0	0	18	43	-25	11	0.344	41	69	110	0	0	13	18	9	1	341	119	112	109	1	574	175	145	269	58	7	12.07%	55	12	78.18%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
	_Vs Conference	14	4	9	0	1	0	0	0	36	56	-20	7	3	3	0	1	0	0	0	19	19	0	7	1	6	0	0	0	0	0	17	37	-20	10	0.357	36	61	97	0	0	13	18	9	1	304	119	112	109	1	508	157	137	238	49	7	14.29%	51	10	80.39%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69
	_Vs Division	10	4	9	0	1	0	0	0	27	41	-14	5	3	3	0	1	0	0	0	15	14	1	5	1	6	0	0	0	0	0	12	27	-15	10	0.500	27	46	73	0	0	13	18	9	1	217	119	112	109	1	363	92	86	157	35	4	11.43%	34	8	76.47%	0	152	392	38.78%	194	552	35.14%	103	257	40.08%	260	175	529	113	172	69

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
16	11	W1	41	69	110	341	574	175	145	269	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	4	10	1	1	0	0	41	67

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	3	1	1	0	0	23	24

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	1	7	0	0	0	0	18	43

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
58	7	12.07%	55	12	78.18%	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
119	112	109	1	13	18	9	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
152	392	38.78%	194	552	35.14%	103	257	40.08%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
260	175	529	113	172	69

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	Link
1	12	Monsters	3	Griffins	4	L		BoxScore
3	27	Griffins	3	Monsters	4	W	X	BoxScore
4	45	Rocket	5	Monsters	2	L		BoxScore
5	63	Monsters	1	Rocket	5	L		BoxScore
6	74	Monsters	3	Crunch	10	L		BoxScore
7	87	Canucks	4	Monsters	2	L		BoxScore
9	108	Senators	1	Monsters	2	W		BoxScore
10	120	Monsters	3	Marlies	1	W		BoxScore
12	139	Wranglers	5	Monsters	4	L	X	BoxScore
13	152	Monsters	4	Comets	7	L		BoxScore
15	169	Marlies	3	Monsters	2	L		BoxScore
17	193	Monsters	1	Canucks	3	L		BoxScore
18	197	Monsters	2	Senators	7	L		BoxScore
19	217	Comets	1	Monsters	2	W		BoxScore
21	228	Monsters	1	Wranglers	6	L		BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
23	248	Crunch	2	Monsters	5	W		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	100	0
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,232,367$	2,232,367$	750,000$0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	0$	0$

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: 16 \| W: 5 \| L: 10 \| OTL: 1 \| P: 11 GF: 41 \| GA: 67 \| PP%: 12.07% \| PK%: 78.18% GM : Tyler Bell \| Morale : 50 \| Team Overall : 59