BlueJacket
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	Icehogs 10-9-0, 20pts	0	FINAL	2	Monsters 2-4-0, 4pts

Team Stats
OTL1	Streak	L1
6-3-0	Home Record	2-1-0
4-6-0	Home Record	0-3-0
5-3-2	Last 10 Games	2-2-2
2.63	Goals Per Game	2.33
2.74	Goals Against Per Game	2.50
23.81%	Power Play Percentage	10.00%
80.00%	Penalty Kill Percentage	88.89%

Monsters
2-4-0, 4pts

FINAL

Icehogs
10-9-0, 20pts

Team Stats
L1	Streak	OTL1
2-1-0	Home Record	6-3-0
0-3-0	Home Record	4-6-0
2-2-2	Last 10 Games	5-3-2
2.33	Goals Per Game	2.63
2.50	Goals Against Per Game	2.74
10.00%	Power Play Percentage	23.81%
88.89%	Penalty Kill Percentage	80.00%

Team Leaders
	Goals Teemu Pulkkinen 3	Assists Victor Antipin 3

	Points Victor Antipin 5	Plus/Minus Victor Antipin 4

	Wins Malcolm Subban 2	Save Percentage Malcolm Subban 0.912

Team Stats
Goals For 14 2.33 GFG	Shots For 183 30.50 Avg	Power Play Percentage 10.0% 2 GF	Offensive Zone Start 43.6%
Goals Against 15 2.50 GAA	Shots Against 175 29.17 Avg	Penalty Kill Percentage 88.9%% 1 GA	Defensive Zone Start 41.1%

Team Info
	General Manager	Jean Francois Langelier
	Coach	Ken Hitchcock
	Division	Division Centrale
	Conference	Conference 2
	Captain	Victor Mete
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,861
	Season Tickets	300
Roster Info
	Pro Team	32
	Farm Team	18
	Contract Limit	50 / 56
	Prospects	16
Team History
	This Season	2-4
	History	47-32-10 (0.528%)
	Playoff Appearances	1
	Playoff Record (W-L)	3 - 8 (0.273%)
	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	Jack Mcbain	X				100.00	79	66	87	73	73	78	91	74	73	72	72	76	68	59	48	68	75	67	0	25	2	900,000$
2	Jacob Peterson		X	X		100.00	60	45	93	76	71	80	87	74	76	71	72	72	71	62	52	68	82	67	0	25	1	1,700,000$
3	Joseph Veleno	X				100.00	74	45	87	73	72	76	92	74	73	73	73	77	65	64	48	68	76	67	0	25	2	900,000$
4	Sergey Tolchinsky		X	X		100.00	71	47	83	72	65	73	75	75	60	72	75	71	67	68	62	54	78	67	0	30	2	2,000,000$
5	Steven Lorentz		X	X		100.00	64	45	94	74	73	79	87	72	71	70	70	70	68	66	53	58	84	67	0	28	1	1,700,000$
6	Travis Boyd		X	X		100.00	64	45	93	73	71	72	72	73	72	78	70	71	68	65	56	53	58	67	0	31	1	1,800,000$
7	Lukas Sedlak		X	X		100.00	75	58	81	69	72	67	78	76	68	71	71	71	69	64	57	50	85	66	0	32	2	1,700,000$
8	Tomas Nosek	X				100.00	63	50	91	72	73	74	77	71	78	68	68	72	66	71	55	50	84	66	0	32	2	1,700,000$
9	Linden Vey		X	X		100.00	63	45	89	71	69	74	81	69	63	69	68	66	65	61	52	47	84	64	0	33	2	1,250,000$
10	Teemu Pulkkinen		X	X		100.00	57	44	96	71	69	71	73	72	60	69	71	71	66	57	49	47	35	63	0	33	2	1,100,000$
11	David Desharnais	X				100.00	58	45	94	66	66	66	68	66	73	65	65	69	62	74	77	25	78	63	0	38	1	900,000$
12	Andrew Desjardins	X				100.00	69	59	85	67	70	68	77	67	79	66	66	68	62	71	56	25	85	63	0	38	2	1,100,000$
13	Victor Mete (C)				X	100.00	62	45	93	76	67	76	86	73	45	76	62	76	56	73	49	60	85	67	0	26	1	900,000$
14	Sam Malinski (R)				X	100.00	66	45	89	81	69	72	73	76	45	74	71	72	65	45	45	60	84	66	0	26	1	900,000$
15	Kaedan Korczak (R)				X	100.00	71	45	89	76	72	76	73	76	45	74	66	73	60	45	45	70	82	66	0	24	3	900,000$
16	Sebastian Aho (DEF)				X	100.00	66	45	82	75	67	74	90	74	45	73	67	74	59	59	52	54	75	66	0	29	1	1,700,000$
17	Victor Antipin				X	100.00	61	46	94	72	68	69	81	70	45	71	67	72	65	65	48	50	77	65	0	32	3	1,500,000$
18	Alexis Binner				X	100.00	63	48	84	76	76	68	73	71	45	66	66	69	57	60	52	64	85	64	0	26	2	1,000,000$
Scratches
1	Seth Griffith		X	X		100.00	60	44	91	70	69	71	77	69	63	68	68	70	66	57	47	50	20	63	0	32	2	1,100,000$
2	Michal Repik		X	X		100.00	60	43	93	70	70	65	76	68	66	66	67	66	65	56	47	34	20	62	0	36	2	1,100,000$
3	Dan Sexton		X	X		100.00	61	43	97	70	66	71	69	67	64	66	66	68	65	54	49	25	19	62	0	37	2	1,100,000$
4	Jordan Schroeder	X				100.00	55	43	97	69	67	69	68	67	65	66	65	68	64	59	50	42	24	61	0	34	1	900,000$
5	Danick Paquette	X				100.00	62	48	88	68	73	69	65	64	63	61	60	62	60	45	45	42	20	59	0	34	2	1,000,000$
6	Keenan Suthers		X	X		100.00	73	48	80	72	78	67	66	56	48	59	59	63	57	47	46	60	20	59	0	26	1	750,000$
7	Kevin Gravel				X	100.00	60	45	95	70	74	67	70	69	45	66	64	71	62	57	46	46	19	63	0	33	1	800,000$
8	Tyler Cuma				X	100.00	61	45	87	73	71	67	64	70	45	71	62	73	62	51	51	38	19	63	0	35	1	1,250,000$
9	Matt Bartkowski				X	100.00	63	49	92	68	70	68	66	67	45	65	62	72	62	64	52	30	19	63	0	36	1	1,250,000$
10	Nico Gross (R)				X	100.00	69	45	80	72	69	70	70	69	45	63	62	73	56	45	45	70	20	62	0	25	3	750,000$
11	Mark Katic				X	100.00	59	43	96	70	69	71	77	69	45	68	65	68	62	48	46	34	20	62	0	35	2	1,000,000$

	TEAM AVERAGE					100.00	64	47	90	72	70	71	76	70	59	69	67	70	63	59	51	50	56	64

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	Malcolm Subban	100.00	80	79	77	80	81	75	83	79	80	82	82	67	70	53	75	67	0	31	1	1,600,000$
2	Jaroslav Janus	100.00	76	78	77	76	77	78	82	80	81	81	77	46	51	38	82	63	0	35	2	1,050,000$
Scratches
1	Brent Moran	100.00	79	84	68	81	76	67	85	70	70	77	75	46	47	57	22	60	0	28	1	750,000$

	TEAM AVERAGE	100.00	78	80	74	79	78	73	83	76	77	80	78	53	56	49	60	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ken Hitchcock	70	77	84	61	99	99	11	CAN	74	4	100,000$

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	PKM	GW	GT	FO%	FOT	P/20	FW	S1	S2	S3
1	Victor Antipin	Monsters (Clb)	D	6	2	3	5	4	4	0	2	1	6	2	3	33.33%	6	109	18.30	0	0	0	1	0	6	0	0	0%	0	0.91	0	0	0	0
2	Sam Malinski	Monsters (Clb)	D	6	1	3	4	-5	4	0	8	9	10	3	2	10.00%	4	138	23.10	0	0	0	5	18	6	1	0	0%	0	0.58	0	0	1	0
3	Sergey Tolchinsky	Monsters (Clb)	LW/RW	6	2	2	4	-2	5	5	15	8	13	2	11	15.38%	1	115	19.33	0	1	1	1	18	0	0	0	60.00%	15	0.69	1	0	0	0
4	Steven Lorentz	Monsters (Clb)	LW/RW	6	1	3	4	2	0	0	1	6	15	10	16	6.67%	1	97	16.26	0	0	0	0	0	8	0	0	25.00%	4	0.82	0	0	0	1
5	Teemu Pulkkinen	Monsters (Clb)	LW/RW	6	3	0	3	2	2	0	1	3	19	1	6	15.79%	1	96	16.03	0	0	0	0	0	6	1	0	40.00%	5	0.62	0	1	0	1
6	Kaedan Korczak	Monsters (Clb)	D	6	1	2	3	-1	0	0	9	5	5	0	7	20.00%	6	129	21.61	1	0	1	4	15	7	0	0	0%	0	0.46	0	0	0	0
7	Lukas Sedlak	Monsters (Clb)	LW/RW	6	1	2	3	-2	2	0	16	4	19	7	10	5.26%	1	114	19.10	1	0	1	5	16	0	0	1	33.33%	9	0.52	0	0	1	0
8	Sebastian Aho (DEF)	Monsters (Clb)	D	6	0	3	3	-1	4	0	7	7	9	6	4	0%	9	123	20.56	0	1	1	6	16	0	0	0	0%	0	0.49	0	0	0	0
9	Victor Mete	Monsters (Clb)	D	6	0	2	2	-5	0	0	3	7	12	2	5	0%	11	140	23.33	0	1	1	5	19	7	0	0	0%	0	0.29	0	0	0	0
10	Alexis Binner	Monsters (Clb)	D	6	0	2	2	4	2	0	9	7	2	4	0	0%	5	107	17.94	0	0	0	0	1	2	0	0	0%	0	0.37	0	0	0	0
11	Tomas Nosek	Monsters (Clb)	C	6	1	1	2	-3	0	0	2	9	10	3	4	10.00%	1	102	17.12	0	0	0	0	0	7	0	0	46.23%	106	0.39	0	0	0	0
12	Joseph Veleno	Monsters (Clb)	C	6	0	1	1	-2	0	0	11	9	13	5	10	0%	1	119	19.97	0	0	0	3	18	0	0	0	53.19%	141	0.17	0	0	0	0
13	David Desharnais	Monsters (Clb)	C	6	0	1	1	1	0	0	2	7	3	2	1	0%	0	58	9.72	0	1	1	0	16	0	0	0	50.00%	80	0.34	0	0	0	0
14	Linden Vey	Monsters (Clb)	LW/RW	6	1	0	1	1	0	0	2	4	5	2	2	20.00%	2	41	6.99	0	0	0	0	0	0	0	0	25.00%	4	0.48	0	0	0	1
15	Travis Boyd	Monsters (Clb)	LW/RW	6	1	0	1	-2	2	0	4	2	13	5	8	7.69%	1	111	18.53	0	0	0	1	16	0	0	0	57.14%	7	0.18	0	0	0	0
16	Andrew Desjardins	Monsters (Clb)	C	6	0	1	1	2	0	0	8	10	10	0	4	0%	1	96	16.16	0	0	0	0	0	8	0	0	49.58%	119	0.21	0	0	0	0
17	Jacob Peterson	Monsters (Clb)	LW/RW	6	0	0	0	-3	0	0	2	7	17	4	18	0%	1	117	19.64	0	0	0	3	18	0	0	0	46.15%	13	0	0	0	0	0
18	Seth Griffith	Monsters (Clb)	LW/RW	3	0	0	0	0	0	0	0	1	1	0	1	0%	0	13	4.60	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	0
19	Jordan Szwarz	BlueJacket	LW/RW	3	0	0	0	1	0	0	2	0	1	0	1	0%	0	21	7.29	0	0	0	0	0	0	0	0	0%	4	0	0	0	0	0
Team Total or Average				108	14	26	40	-9	25	5	104	106	183	58	113	7.65%	52	1857	17.20	2	4	6	34	177	64	2	1	49.12%	509	0.43	1	1	2	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	SO	GA	SA	PS %	ST	BG	S1
1	Malcolm Subban	Monsters (Clb)	6	2	2	2	0.912	2.39	351	1	14	160	0	6	0	1
2	Jaroslav Janus	Monsters (Clb)	1	0	0	0	0.933	2.73	22	0	1	15	0	0	6	0
Team Total or Average			7	2	2	2	0.914	2.41	374	1	15	175		6	6	1

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Alexis Binner	Monsters (Clb)	D	26	1998-12-03	SWE	No	212 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Andrew Desjardins	Monsters (Clb)	C	38	1986-07-27	CAN	No	196 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Brent Moran	Monsters (Clb)	G	28	1996-07-05	CAN	No	195 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dan Sexton	Monsters (Clb)	LW/RW	37	1987-04-29	USA	No	156 Lbs	5 ft10	No	No	N/A		No	No	2		False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Danick Paquette	Monsters (Clb)	C	34	1990-07-17	CAN	No	217 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
David Desharnais	Monsters (Clb)	C	38	1986-09-14	CAN	No	180 Lbs	5 ft7	No	No	N/A		No	No	1		False	False	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jack Mcbain	Monsters (Clb)	C	25	2000-01-06	CAN	No	201 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jacob Peterson	Monsters (Clb)	LW/RW	25	1999-07-19	SWE	No	170 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	1,700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jaroslav Janus	Monsters (Clb)	G	35	1989-09-21	SLO	No	191 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	1,050,000$	0$	0$	No	1,050,000$	-	-	-	-	-	-	-	-	1,050,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jordan Schroeder	Monsters (Clb)	C	34	1990-09-29	USA	No	174 Lbs	5 ft8	No	No	N/A		No	No	1		False	False	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joseph Veleno	Monsters (Clb)	C	25	2000-01-13	CAN	No	203 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Kaedan Korczak	Monsters (Clb)	D	24	2001-01-29	CAN	Yes	201 Lbs	6 ft3	No	No	Prospect		No	No	3	2024-04-29	False	False	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Keenan Suthers	Monsters (Clb)	LW/RW	26	1998-04-27	USA	No	245 Lbs	6 ft8	No	No	Trade	2025-02-01	No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kevin Gravel	Monsters (Clb)	D	33	1992-03-06	USA	No	205 Lbs	6 ft4	No	No	Free Agent		No	No	1	2024-07-22	False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Linden Vey	Monsters (Clb)	LW/RW	33	1991-07-17	CAN	No	194 Lbs	5 ft8	No	No	N/A		No	No	2		False	False	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Lukas Sedlak	Monsters (Clb)	LW/RW	32	1993-02-25	CZE	No	205 Lbs	6 ft0	No	No	Free Agent		No	No	2	2024-07-10	False	False	Pro & Farm	1,700,000$	0$	0$	No	1,700,000$	-	-	-	-	-	-	-	-	1,700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Malcolm Subban	Monsters (Clb)	G	31	1993-12-21	USA	No	215 Lbs	6 ft2	No	No	Trade	2024-01-13	No	No	1		False	False	Pro & Farm	1,600,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mark Katic	Monsters (Clb)	D	35	1989-05-09	CAN	No	180 Lbs	5 ft10	No	No	Trade	2024-01-27	No	No	2		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Matt Bartkowski	Monsters (Clb)	D	36	1988-06-04	USA	No	192 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	1,250,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Michal Repik	Monsters (Clb)	LW/RW	36	1988-12-31	CZE	No	191 Lbs	5 ft10	No	No	N/A		No	No	2		False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nico Gross	Monsters (Clb)	D	25	2000-01-26	SUI	Yes	183 Lbs	6 ft1	No	No	Prospect		No	No	3	2024-06-18	False	False	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Sam Malinski	Monsters (Clb)	D	26	1998-07-27	USA	Yes	190 Lbs	5 ft11	No	No	Trade	2024-06-20	No	No	1	2024-06-20	False	False	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Sebastian Aho (DEF)	Monsters (Clb)	D	29	1996-02-17	SWE	No	177 Lbs	5 ft11	No	No	Trade	2024-01-27	No	No	1		False	False	Pro & Farm	1,700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Sergey Tolchinsky	Monsters (Clb)	LW/RW	30	1995-02-03	RUS	No	156 Lbs	5 ft8	No	No	N/A		No	No	2	2024-04-29	False	False	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	-	-	-	-	-	-	-	-	2,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Seth Griffith	Monsters (Clb)	LW/RW	32	1993-01-04	CAN	No	190 Lbs	5 ft9	No	No	N/A		No	No	2		False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Steven Lorentz	Monsters (Clb)	LW/RW	28	1996-04-13	CAN	No	192 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,700,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Teemu Pulkkinen	Monsters (Clb)	LW/RW	33	1992-01-02	FIN	No	187 Lbs	5 ft10	No	No	N/A		No	No	2		False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Tomas Nosek	Monsters (Clb)	C	32	1992-09-01	CZE	No	205 Lbs	6 ft3	No	No	Trade	2024-11-02	No	No	2	2024-07-07	False	False	Pro & Farm	1,700,000$	0$	0$	No	1,700,000$	-	-	-	-	-	-	-	-	1,700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Travis Boyd	Monsters (Clb)	LW/RW	31	1993-09-14	USA	No	190 Lbs	6 ft0	No	No	Trade	2024-12-10	No	No	1	2024-07-02	False	False	Pro & Farm	1,800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tyler Cuma	Monsters (Clb)	D	35	1990-01-19	CAN	No	187 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	1,250,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Victor Antipin	Monsters (Clb)	D	32	1992-12-06	KAZ	No	171 Lbs	5 ft10	No	No	Free Agent		No	No	3	2024-07-12	False	False	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Victor Mete	Monsters (Clb)	D	26	1998-06-07	CAN	No	187 Lbs	5 ft9	No	No	N/A		No	No	1		False	False	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
32	30.94	192 Lbs	6 ft0	1.66	1,189,063$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				33	0	2	3
2	Travis Boyd	Tomas Nosek	Lukas Sedlak	31	0	2	3
3	Steven Lorentz	Andrew Desjardins	Teemu Pulkkinen	27	0	2	3
4	Linden Vey	David Desharnais		9	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mete	Sam Malinski	35	0	2	3
2	Kaedan Korczak	Sebastian Aho (DEF)	33	0	2	3
3	Victor Antipin	Alexis Binner	32	0	3	2
4	Victor Mete	Sam Malinski	0	0	3	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	0	0	5
2	Travis Boyd	David Desharnais	Lukas Sedlak	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mete	Sam Malinski	60	0	0	5
2	Kaedan Korczak	Sebastian Aho (DEF)	40	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tomas Nosek	Teemu Pulkkinen	50	0	5	0
2	Andrew Desjardins	Steven Lorentz	50	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kaedan Korczak	Victor Antipin	50	0	5	0
2	Victor Mete	Sam Malinski	50	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Tomas Nosek	50	0	5	0	Kaedan Korczak	Victor Antipin	50	0	5	0
2	Andrew Desjardins	50	0	5	0	Victor Mete	Sam Malinski	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			50	0	2	3
2	Tomas Nosek		50	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mete	Sam Malinski	50	0	3	2
2	Kaedan Korczak	Sebastian Aho (DEF)	50	0	3	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
			Victor Mete	Sam Malinski

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Tomas Nosek	Victor Mete	Sam Malinski

Extra Forwards
Normal	PowerPlay	Penalty Kill
Lukas Sedlak, , Teemu Pulkkinen	Lukas Sedlak,	Lukas Sedlak

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Victor Antipin, Alexis Binner, Victor Mete	Alexis Binner	Alexis Binner, Sebastian Aho (DEF)

Penalty Shots
, , , Teemu Pulkkinen, Steven Lorentz

Goalie
#1 : Malcolm Subban, #2 : Jaroslav Janus

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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	Icehogs	6	2	4	0	0	0	0	0	14	15	-1	3	2	1	0	0	0	0	0	7	4	3	3	0	3	0	0	0	0	0	7	11	-4	4	0.333	14	26	40	0	1	6	5	3	0	183	52	60	55	16	175	52	25	104	20	2	10.00%	9	1	88.89%	0	112	222	50.45%	101	209	48.33%	37	78	47.44%	151	105	144	47	79	40
	Total	6	2	4	0	0	0	0	0	14	15	-1	3	2	1	0	0	0	0	0	7	4	3	3	0	3	0	0	0	0	0	7	11	-4	4	0.333	14	26	40	0	1	6	5	3	0	183	52	60	55	16	175	52	25	104	20	2	10.00%	9	1	88.89%	0	112	222	50.45%	101	209	48.33%	37	78	47.44%	151	105	144	47	79	40
	_Since Last GM Reset	6	2	4	0	0	0	0	0	14	15	-1	3	2	1	0	0	0	0	0	7	4	3	3	0	3	0	0	0	0	0	7	11	-4	4	0.333	14	26	40	0	1	6	5	3	0	183	52	60	55	16	175	52	25	104	20	2	10.00%	9	1	88.89%	0	112	222	50.45%	101	209	48.33%	37	78	47.44%	151	105	144	47	79	40
	_Vs Conference	6	2	4	0	0	0	0	0	14	15	-1	3	2	1	0	0	0	0	0	7	4	3	3	0	3	0	0	0	0	0	7	11	-4	4	0.333	14	26	40	0	1	6	5	3	0	183	52	60	55	16	175	52	25	104	20	2	10.00%	9	1	88.89%	0	112	222	50.45%	101	209	48.33%	37	78	47.44%	151	105	144	47	79	40
	_Vs Division	6	2	4	0	0	0	0	0	14	15	-1	3	2	1	0	0	0	0	0	7	4	3	3	0	3	0	0	0	0	0	7	11	-4	4	0.333	14	26	40	0	1	6	5	3	0	183	52	60	55	16	175	52	25	104	20	2	10.00%	9	1	88.89%	0	112	222	50.45%	101	209	48.33%	37	78	47.44%	151	105	144	47	79	40

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	4	L1	14	26	40	183	175	52	25	104	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	14	15

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	7	4

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	7	11

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	2	0	2	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
20	2	10.00%	9	1	88.89%	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
52	60	55	16	6	5	3	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
112	222	50.45%	101	209	48.33%	37	78	47.44%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
151	105	144	47	79	40

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 - 2025-03-09	8	Icehogs	3	Monsters	2	L	X	BoxScore
2 - 2025-03-10	16	Icehogs	1	Monsters	3	W		BoxScore
3 - 2025-03-11	24	Monsters	1	Icehogs	2	L	X	BoxScore
4 - 2025-03-12	32	Monsters	2	Icehogs	3	L		BoxScore
5 - 2025-03-13	40	Icehogs	0	Monsters	2	W		BoxScore
6 - 2025-03-14	48	Monsters	4	Icehogs	6	L		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	30	15
Attendance	5,702	2,882
Attendance PCT	95.03%	96.07%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	2861 - 95.38%	119,480$	358,441$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	3,805,000$	3,805,000$	100,000$0$

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$	2	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
1	Joseph Veleno	82	29	46	75	24	38	144	156	257	11.28%	34	1616	19.71	3	7	10	41	1	1	2	2	5	1	51.97%	1	0.93	0	0
2	Juuso Valimaki	82	13	61	74	13	60	114	100	120	10.83%	101	1890	23.05	8	9	17	65	0	2	2	1	0	3	0%	0	0.78	0	0
3	Victor Mete	77	7	55	62	13	20	55	66	101	6.93%	95	1754	22.78	3	10	13	54	0	2	2	0	1	0	0%	0	0.71	0	0
4	Jacob Peterson	82	23	37	60	14	12	30	96	255	9.02%	18	1498	18.27	4	8	12	34	0	0	0	1	4	2	52.34%	0	0.80	1	6
5	Jack Mcbain	80	25	33	58	13	42	140	175	247	10.12%	19	1615	20.19	4	5	9	42	1	0	1	2	2	1	49.81%	0	0.72	2	4

Monsters Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	A	PS %	PSA
1	Malcolm Subban	43	22	11	5	0.899	3.18	2356	2	125	1237	0	0.808	26
2	Jaroslav Janus	33	18	10	1	0.897	2.80	1758	2	82	798	1	0.333	3
3	Brent Moran	1	1	0	0	0.938	2.00	60	0	2	32	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
15	82	36	32	0	7	0	4	3	285	255	30	41	17	16	0	2	0	3	3	145	134	11	41	19	16	0	5	0	1	0	140	121	19	97	285	519	804	1	5	93	102	79	12	2575	827	847	872	48	2345	699	528	1307	258	43	16.67%	224	52	76.79%	3	1509	2905	51.94%	1370	2633	52.03%	701	1362	51.47%	2017	1402	1873	594	1074	544
Total Regular Season	82	36	32	0	7	0	4	3	285	255	30	41	17	16	0	2	0	3	3	145	134	11	41	19	16	0	5	0	1	0	140	121	19	97	285	519	804	1	5	93	102	79	12	2575	827	847	872	48	2345	699	528	1307	258	43	16.67%	224	52	76.79%	3	1509	2905	51.94%	1370	2633	52.03%	701	1362	51.47%	2017	1402	1873	594	1074	544
Playoff
15	5	1	4	0	0	0	0	0	14	18	-4	2	0	2	0	0	0	0	0	4	6	-2	3	1	2	0	0	0	0	0	10	12	-2	2	14	24	38	0	0	4	6	4	0	134	55	35	44	0	150	43	43	90	15	3	20.00%	18	6	66.67%	0	65	155	41.94%	85	168	50.60%	43	79	54.43%	110	73	124	39	66	33
16	6	2	4	0	0	0	0	0	14	15	-1	3	2	1	0	0	0	0	0	7	4	3	3	0	3	0	0	0	0	0	7	11	-4	4	14	26	40	0	1	6	5	3	0	183	52	60	55	16	175	52	25	104	20	2	10.00%	9	1	88.89%	0	112	222	50.45%	101	209	48.33%	37	78	47.44%	151	105	144	47	79	40
Total Playoff	11	3	8	0	0	0	0	0	28	33	-5	5	2	3	0	0	0	0	0	11	10	1	6	1	5	0	0	0	0	0	17	23	-6	6	28	50	78	0	1	10	11	7	0	317	107	95	99	16	325	95	68	194	35	5	14.29%	27	7	74.07%	0	177	377	46.95%	186	377	49.34%	80	157	50.96%	262	178	269	87	145	73

Monsters Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPA	PPP	PPS	GW	FO%	P/20
1	Sebastian Aho (DEF)	11	0	6	6	-3	10	10	17	14	0%	16	230	20.99	3	3	8	0	0%	0.52
2	Victor Mete	11	0	6	6	-4	0	7	11	20	0%	22	253	23.01	2	2	6	0	0%	0.47
3	Vyacheslav Leshchenko	5	2	3	5	1	4	10	4	13	15.38%	0	80	16.06	1	1	2	0	25.00%	1.25
4	Victor Antipin	6	2	3	5	4	4	2	1	6	33.33%	6	109	18.30	0	0	1	0	0%	0.91
5	Teemu Pulkkinen	11	5	0	5	-1	2	1	4	29	17.24%	2	181	16.52	0	0	2	1	50.00%	0.55

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	Malcolm Subban	10	2	4	4	0.898	2.96	568	0	1	28	274	0	0	0	0	0
2	Jaroslav Janus	3	1	0	0	0.902	2.80	107	0	0	5	51	0	0	0	0	0

	Monsters
	GP: 6 \| W: 2 \| L: 4 GF: 14 \| GA: 15 \| PP%: 10.00% \| PK%: 88.89% GM : Jean Francois Langelier \| Morale : 45 \| Team Overall : 64