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

Game Center
	Monsters 4-1-0, 8pts	3	FINAL	2	Senators 3-2-0, 6pts

Team Stats
W3	Streak	L1
2-0-0	Home Record	1-1-0
2-1-0	Home Record	2-1-0
4-1-0	Last 10 Games	3-2-0
4.40	Goals Per Game	4.00
1.60	Goals Against Per Game	3.20
7.14%	Power Play Percentage	15.38%
96.15%	Penalty Kill Percentage	96.15%

Monsters
4-1-0, 8pts

FINAL

Griffins
1-3-0, 2pts

Team Stats
W3	Streak	L1
2-0-0	Home Record	1-2-0
2-1-0	Home Record	0-1-0
4-1-0	Last 10 Games	1-3-0
4.40	Goals Per Game	2.50
1.60	Goals Against Per Game	5.75
7.14%	Power Play Percentage	0.00%
96.15%	Penalty Kill Percentage	60.00%

Monsters
4-1-0, 8pts

Day 14

Phantoms
4-1-0, 8pts

Team Stats
W3	Streak	W4
2-0-0	Home Record	2-0-0
2-1-0	Away Record	2-1-0
4-1-0	Last 10 Games	4-1-0
4.40	Goals Per Game	3.80
1.60	Goals Against Per Game	3.80
7.14%	Power Play Percentage	14.29%
96.15%	Penalty Kill Percentage	91.67%

Canucks
0-5-0, 0pts

Day 15

Monsters
4-1-0, 8pts

Team Stats
L5	Streak	W3
0-3-0	Home Record	2-0-0
0-2-0	Away Record	2-1-0
0-5-0	Last 10 Games	4-1-0
2.60	Goals Per Game	4.40
7.20	Goals Against Per Game	4.40
12.50%	Power Play Percentage	7.14%
80.00%	Penalty Kill Percentage	96.15%

Senators
3-2-0, 6pts

Day 18

Monsters
4-1-0, 8pts

Team Stats
L1	Streak	W3
1-1-0	Home Record	2-0-0
2-1-0	Away Record	2-1-0
3-2-0	Last 10 Games	4-1-0
4.00	Goals Per Game	4.40
3.20	Goals Against Per Game	4.40
15.38%	Power Play Percentage	7.14%
96.15%	Penalty Kill Percentage	96.15%

Team Leaders
	Goals Berkly Catton 5	Assists John Leonard 6

	Points John Leonard 8	Plus/Minus Cole McWard 8

	Wins Aku Koskenvuo 4	Save Percentage Aku Koskenvuo 0.882

Team Stats
Goals For 22 4.40 GFG	Shots For 183 36.60 Avg	Power Play Percentage 7.1% 1 GF	Offensive Zone Start 49.6%
Goals Against 8 1.60 GAA	Shots Against 68 13.60 Avg	Penalty Kill Percentage 96.2%% 1 GA	Defensive Zone Start 28.3%

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	1,942
	Season Tickets	1,200
Roster Info
	Pro Team	26
	Farm Team	21
	Contract Limit	47 / 51
	Prospects	50
Team History
	This Season	4-1-0 (8PTS)
	History	4-1-0 (0.800%)
	Playoff Appearances	1
	Playoff Record (W-L)	15 - 11 (0.577%)
	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	John Leonard		X	X		100.00	76	43	99	78	69	59	74	68	25	64	71	66	25	55	55	71	50	65	0	28	2	1,000,000$
2	Lukas Reichel	X	X	X		100.00	61	41	92	82	64	62	72	66	54	63	59	68	25	62	62	64	50	64	0	24	1	950,000$
3	Berkly Catton (R)	X	X			100.00	57	50	86	84	64	63	83	67	49	62	60	62	75	52	52	65	50	63	0	20	3	975,000$
4	Aidan McDonough		X			100.00	79	75	88	65	75	77	81	62	50	56	65	66	62	44	44	66	50	62	0	26	1	925,000$
5	Danila Klimovich			X		100.00	74	75	72	62	75	74	78	59	50	51	63	63	60	44	44	62	50	60	0	23	2	900,000$
6	Dans Locmelis (R)	X				100.00	74	65	95	64	65	62	63	62	78	56	64	64	61	44	44	65	50	60	0	22	2	850,000$
7	Eduard Sale		X			100.00	76	69	91	63	69	70	73	58	50	53	58	64	55	44	44	62	50	59	0	21	2	918,333$
8	Jared Davidson (R)		X			100.00	67	66	68	59	66	73	78	57	50	48	62	59	59	44	44	61	50	57	0	24	1	850,000$
9	John Farinacci	X				100.00	75	66	95	59	66	77	84	51	64	47	51	61	48	44	44	58	50	57	0	25	1	925,000$
10	Axel Sandin-Pellikka (R)				X	100.00	61	41	91	74	68	69	89	74	25	55	50	73	25	52	52	63	50	66	0	21	3	940,833$
11	Keaton Middleton				X	100.00	86	91	73	63	91	77	85	47	25	37	41	67	39	48	48	55	50	63	0	28	3	850,000$
12	Cole McWard (R)				X	100.00	78	73	88	61	73	75	81	52	25	48	42	63	40	44	44	56	50	60	0	25	1	850,000$
13	Marshall Warren (R)				X	100.00	74	70	83	61	70	74	79	55	25	52	43	62	41	44	44	57	50	60	0	25	2	850,000$
14	Kirill Kudryavtsev (R)				X	100.00	79	72	96	62	72	60	63	52	25	49	41	64	39	44	44	55	50	58	0	22	2	850,000$
15	Ethan Edwards (R)				X	100.00	71	71	72	57	71	77	84	51	25	39	49	59	47	44	44	56	50	58	0	24	2	925,000$
16	Jeremy Hanzel				X	100.00	77	74	85	80	74	53	56	41	25	28	39	60	37	44	44	50	50	57	0	23	2	852,000$
Scratches
1	Nikita Prishchepov	X	X	X		100.00	70	71	66	61	71	43	39	59	74	60	53	61	50	44	44	57	50	56	0	22	2	850,000$
2	Owen Allard (R)	X				100.00	81	76	92	61	76	54	55	51	64	47	50	64	48	44	44	57	50	55	0	22	3	869,167$
3	Nikita Susuyev (R)	X	X	X		100.00	72	64	89	57	64	54	56	49	61	48	45	59	43	44	44	53	50	52	0	21	3	855,000$
4	Blake Biondi (R)	X				100.00	77	72	89	58	72	41	41	45	56	38	46	61	44	44	44	51	50	50	0	24	2	850,000$
5	Tom Willander (R)				X	100.00	65	42	87	81	68	70	92	69	25	57	49	76	25	52	52	64	50	67	0	21	3	950,000$
6	Sawyer Mynio (R)				X	100.00	72	69	80	58	69	51	52	51	25	47	41	60	39	44	44	52	50	55	0	21	3	906,667$
7	Graham Sward				X	100.00	82	74	99	80	74	33	31	41	25	28	39	62	37	44	44	50	50	55	0	23	2	850,000$
8	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	24	2	850,000$

	TEAM AVERAGE					100.00	74	66	86	67	71	62	67	55	42	48	51	64	44	46	46	58	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	Aku Koskenvuo (R)	100.00	38	40	50	83	45	82	45	44	83	69	45	44	44	56	50	58	0	23	3	925,000$
2	Dylan Garand (R)	100.00	43	53	66	70	49	48	52	51	46	42	95	44	44	49	50	51	0	24	2	875,000$
Scratches

	TEAM AVERAGE	100.00	41	47	58	77	47	65	49	48	65	56	70	44	44	53	50	55

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Marco Sturm	78	80	81	72	71	67	79	DEU	47	1	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	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	HT	P/20	FW	FL	FT	S1	S2	S3
1	John Leonard	Monsters (CLB)	LW/RW	5	2	6	8	3	4	0	6	7	18	5	23	11.11%	0	105	21.18	0	1	1	3	11	2	20	1	65.00%	40	0	1.51	0	0	0	1	0	1
2	Berkly Catton	Monsters (CLB)	C/LW	5	5	3	8	5	0	0	5	11	24	8	16	20.83%	0	102	20.51	0	0	0	3	10	0	15	0	61.11%	108	1	1.56	0	0	0	1	0	1
3	Lukas Reichel	Monsters (CLB)	C/LW/RW	5	3	3	6	3	0	0	1	10	15	4	15	20.00%	0	106	21.24	0	1	1	1	11	0	22	0	73.08%	104	0	1.13	0	0	0	1	0	0
4	Kirill Kudryavtsev	Monsters (CLB)	D	5	2	4	6	6	10	10	5	3	7	0	0	28.57%	0	73	14.65	0	0	0	0	0	0	6	0	0%	0	0	1.64	1	1	0	1	0	0
5	Aidan McDonough	Monsters (CLB)	LW	5	2	4	6	6	9	5	11	5	21	7	17	9.52%	0	98	19.77	0	0	0	3	10	0	12	1	83.33%	6	0	1.21	0	0	1	0	1	0
6	Axel Sandin-Pellikka	Monsters (CLB)	D	5	1	3	4	1	0	0	1	1	15	4	9	6.67%	0	115	23.14	1	0	1	11	11	0	20	0	0%	0	0	0.69	0	0	0	0	1	0
7	Jared Davidson	Monsters (CLB)	LW	5	0	4	4	6	6	0	7	3	10	0	9	0%	0	79	15.95	0	0	0	0	0	0	0	0	33.33%	3	0	1.00	0	0	0	0	0	0
8	Eduard Sale	Monsters (CLB)	LW	5	3	1	4	6	4	0	6	10	18	4	9	16.67%	0	85	17.14	0	0	0	0	1	0	5	1	60.00%	5	0	0.93	0	0	0	0	1	1
9	Dans Locmelis	Monsters (CLB)	C	5	1	3	4	5	2	0	7	10	14	4	7	7.14%	1	87	17.44	0	0	0	1	1	0	3	0	78.13%	64	0	0.92	0	0	0	0	1	0
10	John Farinacci	Monsters (CLB)	C	5	1	2	3	5	6	0	3	3	9	1	6	11.11%	0	88	17.79	0	0	0	2	11	0	0	0	88.89%	9	0	0.67	0	0	0	0	0	1
11	Cole McWard	Monsters (CLB)	D	5	1	2	3	8	6	0	9	3	6	0	3	16.67%	5	106	21.23	0	0	0	1	11	0	18	0	0%	0	0	0.57	0	0	0	0	0	0
12	Danila Klimovich	Monsters (CLB)	RW	5	1	1	2	3	6	0	10	3	13	2	7	7.69%	0	90	18.04	0	0	0	4	12	0	8	1	50.00%	14	0	0.44	0	0	0	0	0	0
13	Marshall Warren	Monsters (CLB)	D	5	0	2	2	8	2	0	12	4	4	3	2	0%	2	108	21.65	0	0	0	1	11	0	20	0	0%	0	0	0.37	0	0	0	0	0	0
14	Ethan Edwards	Monsters (CLB)	D	5	0	1	1	5	4	0	5	2	4	3	1	0%	2	74	14.93	0	0	0	1	1	0	0	0	0%	0	0	0.27	0	0	0	0	0	0
15	Keaton Middleton	Monsters (CLB)	D	5	0	0	0	1	12	0	23	4	4	0	6	0%	2	100	20.18	0	0	0	2	12	0	16	0	0%	0	0	0	0	0	0	0	0	0
16	Jeremy Hanzel	Monsters (CLB)	D	5	0	0	0	-1	0	0	3	0	1	0	0	0%	0	21	4.31	0	0	0	0	0	0	4	0	0%	0	0	0	0	0	0	0	0	0
Team Total or Average				80	22	39	61	70	71	15	114	79	183	45	130	12.02%	12	1445	18.07	1	2	3	33	119	2	173	4	68.56%	353	1	0.84	1	1	1	4	4	4

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	Aku Koskenvuo	Monsters (CLB)	5	4	1	0	0.882	1.60	300	0	1	8	68	0	0	0	0	0	5	0	0	0	0
Team Total or Average			5	4	1	0	0.882	1.60	300	0	1	8	68	0	0	0		0	5	0	0	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	26	1999-11-06	USA	No	201 Lbs	6 ft2	No	No	Assign Manually		No	Yes	1	2024-06-30	False	False	Pro & Farm	925,000$	873,131$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Aku Koskenvuo	Monsters (CLB)	G	23	2003-02-26	FIN	Yes	201 Lbs	6 ft4	No	No	Assign Manually		No	No	3	2026-08-14	False	False	Pro & Farm	925,000$	873,131$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Axel Sandin-Pellikka	Monsters (CLB)	D	21	2005-03-11	SWE	Yes	186 Lbs	6 ft0	No	No	Trade	2026-06-20	No	No	3	2026-06-14	False	False	Pro & Farm	940,833$	888,076$	0$	0$	No	940,833$	940,833$	-	-	-	-	-	-	-	940,833$	940,833$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Berkly Catton	Monsters (CLB)	C/LW	20	2006-01-14	CAN	Yes	179 Lbs	5 ft10	No	No	Assign Manually		No	No	3	2026-06-13	False	False	Pro & Farm	975,000$	920,327$	0$	0$	No	975,000$	975,000$	-	-	-	-	-	-	-	975,000$	975,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Blake Biondi	Monsters (CLB)	C	24	2002-04-24	USA	Yes	198 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2026-10-05	False	False	Pro & Farm	850,000$	802,336$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Cole McWard	Monsters (CLB)	D	25	2001-06-09	USA	Yes	196 Lbs	6 ft2	No	No	Assign Manually		No	Yes	1	2026-10-05	False	False	Pro & Farm	850,000$	802,336$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Connor Kelley	Monsters (CLB)	D	24	2002-07-30	USA	Yes	195 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2026-10-05	False	False	Pro & Farm	850,000$	802,336$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Danila Klimovich	Monsters (CLB)	RW	23	2003-01-09	BLR	No	202 Lbs	6 ft2	No	No	Free Agent		No	No	2	2025-08-15	False	False	Pro & Farm	900,000$	849,533$	0$	0$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dans Locmelis	Monsters (CLB)	C	22	2004-01-21	LVA	Yes	179 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2026-10-05	False	False	Pro & Farm	850,000$	802,336$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dylan Garand	Monsters (CLB)	G	24	2002-06-07	CAN	Yes	185 Lbs	6 ft1	No	No	Free Agent		No	No	2	2026-08-01	False	False	Pro & Farm	875,000$	825,935$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Eduard Sale	Monsters (CLB)	LW	21	2005-03-10	CZE	No	186 Lbs	6 ft1	No	No	Prospect		No	No	2	2025-06-14	False	False	Pro & Farm	918,333$	866,838$	0$	0$	No	918,333$	-	-	-	-	-	-	-	-	918,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ethan Edwards	Monsters (CLB)	D	24	2002-06-06	CAN	Yes	195 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2025-08-03	False	False	Pro & Farm	925,000$	873,131$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Graham Sward	Monsters (CLB)	D	23	2003-09-12	CAN	No	192 Lbs	6 ft4	No	No	Assign Manually		No	No	2	2026-10-05	False	False	Pro & Farm	850,000$	802,336$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jared Davidson	Monsters (CLB)	LW	24	2002-07-07	CAN	Yes	183 Lbs	5 ft11	No	No	Assign Manually		No	No	1	2026-10-05	False	False	Pro & Farm	850,000$	802,336$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jeremy Hanzel	Monsters (CLB)	D	23	2003-02-27	CAN	No	200 Lbs	6 ft1	No	No	Draft		No	No	2	2025-08-10	False	False	Pro & Farm	852,000$	804,224$	0$	0$	No	852,000$	-	-	-	-	-	-	-	-	852,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
John Farinacci	Monsters (CLB)	C	25	2001-02-14	USA	No	184 Lbs	5 ft11	No	No	Assign Manually		No	Yes	1	2024-06-30	False	False	Pro & Farm	925,000$	873,131$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
John Leonard	Monsters (CLB)	LW/RW	28	1998-08-07	USA	No	192 Lbs	5 ft11	No	No	Free Agent		No	Yes	2	2025-08-21	False	False	Pro & Farm	1,000,000$	943,925$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Keaton Middleton	Monsters (CLB)	D	28	1998-02-10	CAN	No	240 Lbs	6 ft6	No	No	Free Agent	2024-11-24	No	Yes	3	2025-08-15	False	False	Pro & Farm	850,000$	802,336$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Kirill Kudryavtsev	Monsters (CLB)	D	22	2004-02-05	RUS	Yes	200 Lbs	5 ft11	No	No	Assign Manually		No	No	2	2026-10-05	False	False	Pro & Farm	850,000$	802,336$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Lukas Reichel	Monsters (CLB)	C/LW/RW	24	2002-05-17	DEU	No	170 Lbs	6 ft0	No	No	Free Agent		No	No	1	2026-08-01	False	False	Pro & Farm	950,000$	896,729$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Marshall Warren	Monsters (CLB)	D	25	2001-04-20	USA	Yes	195 Lbs	5 ft11	No	No	Assign Manually		No	Yes	2	2026-10-05	False	False	Pro & Farm	850,000$	802,336$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nikita Prishchepov	Monsters (CLB)	C/LW/RW	22	2004-02-20	RUS	No	194 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2026-10-05	False	False	Pro & Farm	850,000$	802,336$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Nikita Susuyev	Monsters (CLB)	C/LW/RW	21	2005-02-06	RUS	Yes	172 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2026-05-15	False	False	Pro & Farm	855,000$	807,056$	0$	0$	No	855,000$	855,000$	-	-	-	-	-	-	-	855,000$	855,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Owen Allard	Monsters (CLB)	C	22	2004-01-13	ONT	Yes	209 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2026-06-13	False	False	Pro & Farm	869,167$	820,429$	0$	0$	No	869,167$	869,167$	-	-	-	-	-	-	-	869,167$	869,167$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Sawyer Mynio	Monsters (CLB)	D	21	2005-04-30	BC	Yes	185 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2026-08-01	False	False	Pro & Farm	906,667$	855,826$	0$	0$	No	906,667$	906,667$	-	-	-	-	-	-	-	906,667$	906,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Tom Willander	Monsters (CLB)	D	21	2005-02-09	SWE	Yes	180 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2026-05-15	False	False	Pro & Farm	950,000$	896,729$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	23.31	192 Lbs	6 ft1	2.12	892,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	John Leonard	Lukas Reichel	Danila Klimovich	40	1	2	2
2	Aidan McDonough	Berkly Catton	John Farinacci	30	1	2	2
3	Eduard Sale	Dans Locmelis	Jared Davidson	20	1	2	2
4	Jared Davidson	John Farinacci	John Leonard	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Axel Sandin-Pellikka	Keaton Middleton	40	1	2	2
2	Marshall Warren	Cole McWard	30	1	2	2
3	Ethan Edwards	Kirill Kudryavtsev	20	1	2	2
4	Jeremy Hanzel	Axel Sandin-Pellikka	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	John Leonard	Lukas Reichel	Danila Klimovich	60	1	2	2
2	Aidan McDonough	Berkly Catton	John Farinacci	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Axel Sandin-Pellikka	Keaton Middleton	60	1	2	2
2	Marshall Warren	Cole McWard	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	John Leonard	Lukas Reichel	60	1	2	2
2	Berkly Catton	Aidan McDonough	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Axel Sandin-Pellikka	Keaton Middleton	60	1	2	2
2	Marshall Warren	Cole McWard	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	John Leonard	60	1	2	2	Axel Sandin-Pellikka	Keaton Middleton	60	1	2	2
2	Lukas Reichel	40	1	2	2	Marshall Warren	Cole McWard	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	John Leonard	Lukas Reichel	60	1	2	2
2	Berkly Catton	Aidan McDonough	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Axel Sandin-Pellikka	Keaton Middleton	60	1	2	2
2	Marshall Warren	Cole McWard	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
John Leonard	Lukas Reichel	Danila Klimovich	Axel Sandin-Pellikka	Keaton Middleton

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
John Leonard	Lukas Reichel	Danila Klimovich	Axel Sandin-Pellikka	Keaton Middleton

Extra Forwards
Normal	PowerPlay	Penalty Kill
Dans Locmelis, Eduard Sale, Danila Klimovich	Dans Locmelis, Eduard Sale	Danila Klimovich

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ethan Edwards, Kirill Kudryavtsev, Jeremy Hanzel	Ethan Edwards	Kirill Kudryavtsev, Jeremy Hanzel

Penalty Shots
John Leonard, Lukas Reichel, Berkly Catton, Aidan McDonough, Dans Locmelis

Goalie
#1 : Aku Koskenvuo, #2 : Dylan Garand

Custom OT Lines Forwards
John Leonard, Lukas Reichel, Berkly Catton, Aidan McDonough, Dans Locmelis, Danila Klimovich, Eduard Sale, John Farinacci, Jared Davidson,

Custom OT Lines Defensemen
Axel Sandin-Pellikka, Keaton Middleton, Marshall Warren, Cole McWard, Ethan Edwards

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	Comets	2	1	1	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	8	1	7	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	8	15	23	0	0	12	4	6	0	91	68	53	62	0	21	1	17	54	8	1	12.50%	5	0	100.00%	0	126	175	72.00%	66	100	66.00%	50	78	64.10%	166	130	77	27	56	32
2	Crunch	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	12	4	6	0	27	68	53	62	0	15	4	28	18	3	0	0.00%	8	0	100.00%	0	126	175	72.00%	66	100	66.00%	50	78	64.10%	166	130	77	27	56	32
3	Griffins	1	1	0	0	0	0	0	0	7	0	7	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	0	7	2	1.000	7	13	20	0	1	12	4	6	0	43	68	53	62	0	12	3	8	21	1	0	0.00%	4	0	100.00%	0	126	175	72.00%	66	100	66.00%	50	78	64.10%	166	130	77	27	56	32
4	Senators	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	4	7	0	0	12	4	6	0	22	68	53	62	0	20	4	18	21	2	0	0.00%	9	1	88.89%	0	126	175	72.00%	66	100	66.00%	50	78	64.10%	166	130	77	27	56	32
	Total	5	4	1	0	0	0	0	0	22	8	14	2	2	0	0	0	0	0	0	12	3	9	3	2	1	0	0	0	0	0	10	5	5	8	0.800	22	39	61	0	1	12	4	6	0	183	68	53	62	0	68	12	71	114	14	1	7.14%	26	1	96.15%	0	126	175	72.00%	66	100	66.00%	50	78	64.10%	166	130	77	27	56	32
	_Since Last GM Reset	5	4	1	0	0	0	0	0	22	8	14	2	2	0	0	0	0	0	0	12	3	9	3	2	1	0	0	0	0	0	10	5	5	8	0.800	22	39	61	0	1	12	4	6	0	183	68	53	62	0	68	12	71	114	14	1	7.14%	26	1	96.15%	0	126	175	72.00%	66	100	66.00%	50	78	64.10%	166	130	77	27	56	32
	_Vs Conference	5	4	1	0	0	0	0	0	22	8	14	2	2	0	0	0	0	0	0	12	3	9	3	2	1	0	0	0	0	0	10	5	5	8	0.800	22	39	61	0	1	12	4	6	0	183	68	53	62	0	68	12	71	114	14	1	7.14%	26	1	96.15%	0	126	175	72.00%	66	100	66.00%	50	78	64.10%	166	130	77	27	56	32
	_Vs Division	3	4	1	0	0	0	0	0	14	4	10	1	2	0	0	0	0	0	0	4	2	2	2	2	1	0	0	0	0	0	10	2	8	8	1.333	14	24	38	0	1	12	4	6	0	92	68	53	62	0	47	11	54	60	6	0	0.00%	21	1	95.24%	0	126	175	72.00%	66	100	66.00%	50	78	64.10%	166	130	77	27	56	32

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
5	8	W3	22	39	61	183	68	12	71	114	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	22	8

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	12	3

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	10	5

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
14	1	7.14%	26	1	96.15%	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
68	53	62	0	12	4	6	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
126	175	72.00%	66	100	66.00%	50	78	64.10%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
166	130	77	27	56	32

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	Link
3	14	Comets	1	Monsters	8	W	BoxScore
5	31	Monsters	0	Comets	3	L	BoxScore
7	42	Crunch	2	Monsters	4	W	BoxScore
10	61	Monsters	3	Senators	2	W	BoxScore
12	69	Monsters	7	Griffins	0	W	BoxScore
14	83	Monsters	-	Phantoms	-
15	92	Canucks	-	Monsters	-
18	113	Senators	-	Monsters	-
22	138	Bears	-	Monsters	-
24	156	Monsters	-	Rocket	-
26	169	Monsters	-	Marlies	-
28	180	Marlies	-	Monsters	-
31	197	Monsters	-	Canucks	-
33	213	Rocket	-	Monsters	-
35	223	Monsters	-	Penguins	-
37	238	Monsters	-	Crunch	-
39	251	Griffins	-	Monsters	-
41	268	Monsters	-	Wolf Pack	-
43	279	Roadrunners	-	Monsters	-
45	294	Monsters	-	Gulls	-
48	314	Barracuda	-	Monsters	-
50	328	Monsters	-	Bruins	-
53	342	Bears	-	Monsters	-
57	367	Ice Hogs	-	Monsters	-
59	381	Monsters	-	Roadrunners	-
61	394	Monsters	-	Silver Knights	-
63	405	Wolves	-	Monsters	-
67	431	Reign	-	Monsters	-
69	443	Monsters	-	Reign	-
71	458	Monsters	-	Canucks	-
73	467	Monsters	-	Marlies	-
74	477	Thunderbirds	-	Monsters	-
79	503	Crunch	-	Monsters	-
84	527	Senators	-	Monsters	-
86	540	Monsters	-	Eagles	-
90	563	Admirals	-	Monsters	-
93	581	Monsters	-	Bears	-
95	593	Griffins	-	Monsters	-
98	612	Monsters	-	Checkers	-
100	625	Comets	-	Monsters	-
102	635	Monsters	-	Stars	-
105	659	Americans	-	Monsters	-
108	679	Monsters	-	Griffins	-
110	690	Canucks	-	Monsters	-
112	704	Monsters	-	Comets	-
114	717	Monsters	-	Thunderbirds	-
116	725	Monsters	-	Senators	-
117	732	Wolf Pack	-	Monsters	-
120	753	Monsters	-	Condors	-
121	762	Checkers	-	Monsters	-
126	791	Comets	-	Monsters	-
128	803	Monsters	-	Firebirds	-
132	822	Rocket	-	Monsters	-
134	837	Monsters	-	Wolves	-
136	854	Monsters	-	Islanders	-
137	860	Marlies	-	Monsters	-
140	875	Monsters	-	Wild	-
142	890	Gulls	-	Monsters	-
146	915	Monsters	-	Admirals	-
147	924	Condors	-	Monsters	-
149	937	Monsters	-	Crunch	-
152	951	Monsters	-	Ice Hogs	-
153	958	Firebirds	-	Monsters	-
157	984	Monsters	-	Rocket	-
158	991	Moose	-	Monsters	-
162	1017	Islanders	-	Monsters	-
164	1030	Monsters	-	Phantoms	-
166	1040	Monsters	-	Wranglers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
168	1054	Wranglers	-	Monsters	-
173	1081	Eagles	-	Monsters	-
175	1096	Monsters	-	Moose	-
177	1110	Monsters	-	Americans	-
178	1119	Silver Knights	-	Monsters	-
183	1149	Wild	-	Monsters	-
187	1173	Monsters	-	Barracuda	-
188	1180	Phantoms	-	Monsters	-
192	1205	Bruins	-	Monsters	-
197	1234	Stars	-	Monsters	-
199	1247	Monsters	-	Penguins	-
206	1274	Phantoms	-	Monsters	-
210	1295	Penguins	-	Monsters	-
212	1308	Monsters	-	Roadrunners	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	100	0
Attendance	1,914	1,970
Attendance PCT	47.85%	98.50%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	1942 - 64.73%	95,700$	191,400$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
172,104$	2,319,200$	2,319,200$	750,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
10,837$	130,044$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,732,300$	202	14,342$	2,897,084$

Monsters Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	MP	AMG	PPA	PPP	PPS	PKS	GW	FO%	HT	P/20
1	John Leonard	5	2	6	8	3	4	6	7	18	11.11%	105	21.18	1	1	3	2	1	65.00%	0	1.51
2	Berkly Catton	5	5	3	8	5	0	5	11	24	20.83%	102	20.51	0	0	3	0	0	61.11%	1	1.56
3	Lukas Reichel	5	3	3	6	3	0	1	10	15	20.00%	106	21.24	1	1	1	0	0	73.08%	0	1.13
4	Aidan McDonough	5	2	4	6	6	9	11	5	21	9.52%	98	19.77	0	0	3	0	1	83.33%	0	1.21
5	Kirill Kudryavtsev	5	2	4	6	6	10	5	3	7	28.57%	73	14.65	0	0	0	0	0	0%	0	1.64

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
1	Aku Koskenvuo	5	4	1	0	0.882	1.60	300	0	1	8	68	0	0	0	0	0

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
Regular Season
2026	5	4	1	0	0	0	0	0	22	8	14	2	2	0	0	0	0	0	0	12	3	9	3	2	1	0	0	0	0	0	10	5	5	8	22	39	61	0	1	12	4	6	0	183	68	53	62	0	68	12	71	114	14	1	7.14%	26	1	96.15%	0	126	175	72.00%	66	100	66.00%	50	78	64.10%	166	130	77	27	56	32
Total Regular Season	5	4	1	0	0	0	0	0	22	8	14	2	2	0	0	0	0	0	0	12	3	9	3	2	1	0	0	0	0	0	10	5	5	8	22	39	61	0	1	12	4	6	0	183	68	53	62	0	68	12	71	114	14	1	7.14%	26	1	96.15%	0	126	175	72.00%	66	100	66.00%	50	78	64.10%	166	130	77	27	56	32
Playoff
2025	26	15	11	0	0	0	0	0	82	81	1	12	7	5	0	0	0	0	0	38	42	-4	14	8	6	0	0	0	0	0	44	39	5	30	82	139	221	0	0	26	34	17	5	617	206	183	168	60	607	188	371	544	161	24	14.91%	165	22	86.67%	2	404	811	49.82%	369	779	47.37%	190	428	44.39%	663	457	692	211	342	167
Total Playoff	26	15	11	0	0	0	0	0	82	81	1	12	7	5	0	0	0	0	0	38	42	-4	14	8	6	0	0	0	0	0	44	39	5	30	82	139	221	0	0	26	34	17	5	617	206	183	168	60	607	188	371	544	161	24	14.91%	165	22	86.67%	2	404	811	49.82%	369	779	47.37%	190	428	44.39%	663	457	692	211	342	167

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	PKP	PKS	GW	GT	FO%	P/20
1	Arttu Hyry	26	14	16	30	7	54	82	60	78	17.95%	9	668	25.70	1	3	4	13	0	0	6	6	1	43.48%	0.90
2	Lukas Reichel	26	8	17	25	9	4	16	69	62	12.90%	4	584	22.47	0	5	5	12	1	1	8	0	0	49.66%	0.86
3	Marat Khusnutdinov	26	12	9	21	-13	20	25	79	79	15.19%	4	577	22.23	5	6	11	26	1	1	1	0	3	48.79%	0.73
4	Valtteri Puustinen	26	8	10	18	8	10	23	44	67	11.94%	1	517	19.89	2	2	4	18	0	0	2	2	0	28.13%	0.70
5	Jared Davidson	26	8	8	16	-13	26	43	41	67	11.94%	5	534	20.58	5	5	10	20	0	0	1	1	1	68.18%	0.60

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
1	Dylan Garand	26	15	6	4	0.867	2.82	1574	2	0	74	555	0	3	0	0	0
2	Jacob Ingham	4	0	1	0	0.865	3.44	122	0	0	7	52	0	0	0	0	0

	Monsters
	GP: 5 \| W: 4 \| L: 1 \| OTL: 0 \| P: 8 GF: 22 \| GA: 8 \| PP%: 7.14% \| PK%: 96.15% GM : Tyler Bell \| Morale : 50 \| Team Overall : 59 Next Games #83 vs Phantoms