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

Game Center
	Condors 15-10-0, 30pts	4	FINAL	5	Monsters 3-4-0, 6pts

Team Stats
L1	Streak	L1
10-4-0	Home Record	2-1-0
5-6-0	Away Record	1-3-0
4-2-4	Last 10 Games	3-3-1
4.08	Goals Per Game	3.00
3.12	Goals Against Per Game	4.00
25.00%	Power Play Percentage	11.11%
76.92%	Penalty Kill Percentage	76.92%

Monsters
3-4-0, 6pts

FINAL

Condors
15-10-0, 30pts

Team Stats
L1	Streak	L1
2-1-0	Home Record	10-4-0
1-3-0	Away Record	5-6-0
3-3-1	Last 10 Games	4-2-4
3.00	Goals Per Game	4.08
4.00	Goals Against Per Game	3.12
11.11%	Power Play Percentage	25.00%
76.92%	Penalty Kill Percentage	76.92%

Team Leaders




	Wins Anthony Stolarz 3	Save Percentage Charlie Lindgren 0.95

Team Stats
Goals For 21 3.00 GFG	Shots For 210 30.00 Avg	Power Play Percentage 11.1% 2 GF	Offensive Zone Start 36.1%
Goals Against 28 4.00 GAA	Shots Against 273 39.00 Avg	Penalty Kill Percentage 76.9% 9 GA	Defensive Zone Start 44.1%

Team Info
	General Manager	Eric Leclerc
	Coach	Jeremy Colliton
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	19
	Contract Limit	43 / 80
	Prospects	32
Team History
	This Season	3-4
	History	119-111-18 (0.480%)
	Playoff Appearances	1
	Playoff Record (W-L)	5-8
	Stanley Cup	0

Show or Hide Column

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	Logan Brown	0	X				100.00	80	75	91	64	96	78	76	67	73	68	60	63	65	66	68	0	75	66	0	25	1	995,000$
2	Liam Foudy (R)	0	X		X		100.00	64	36	95	72	78	80	77	67	63	61	62	69	65	62	63	0	75	65	0	23	1	925,000$
3	Brendan Lemieux	0		X	X		100.00	89	82	58	66	80	76	77	63	56	61	62	57	62	68	70	0	75	64	0	27	1	1,688,000$
4	Wayne Simmonds	0		X	X		100.00	83	85	61	63	77	73	76	61	65	62	57	55	59	88	76	0	75	63	0	35	2	4,000,000$
5	Alex Steeves (R)	0	X				100.00	63	37	84	64	74	88	84	63	71	65	58	60	62	64	66	0	75	63	0	24	2	950,000$
6	Brendan Brisson (R)	0	X	X	X		100.00	59	39	72	66	68	84	71	65	67	64	63	58	65	62	64	0	75	62	0	22	3	950,000$
7	Graeme Clarke (R)	0			X		100.00	58	37	87	64	67	91	82	63	66	64	62	58	63	62	64	0	75	62	0	22	3	950,000$
8	Turner Elson	0		X			100.00	67	38	85	60	73	81	88	59	66	58	57	58	62	71	73	0	75	62	0	31	1	925,000$
9	Xavier Simoneau (R)	0	X				100.00	63	41	66	64	62	67	71	63	70	67	55	65	63	62	67	0	75	61	0	22	3	950,000$
10	Nathan Legare (R)	0			X		100.00	66	41	74	55	75	85	83	54	58	55	56	57	53	62	64	0	75	59	0	22	2	950,000$
11	Patrick Guay (R)	0	X				100.00	57	39	74	56	66	73	62	55	62	56	57	53	56	61	63	0	75	57	0	21	3	950,000$
12	Pierre-Olivier Joseph	0				X	100.00	68	35	80	74	77	88	86	67	30	73	61	57	53	63	65	0	75	66	0	24	3	995,000$
13	Justin Barron (R)	0				X	100.00	70	38	91	67	81	85	81	65	30	67	63	62	53	62	63	0	75	65	0	22	2	950,000$
14	Gustav Lindstrom	0				X	100.00	65	36	87	65	78	86	78	63	30	72	54	66	49	65	67	0	75	64	0	25	3	998,900$
15	Jordan Spence (R)	0				X	100.00	63	37	85	66	67	90	85	64	30	69	60	62	51	62	64	0	75	64	0	22	2	950,000$
16	Brayden Pachal (R)	0				X	100.00	77	43	64	59	81	82	85	60	30	64	58	65	49	64	66	0	75	63	0	24	3	995,000$
17	Jacob Larsson	0				X	100.00	67	40	75	66	79	78	83	62	30	63	58	61	50	66	68	0	75	63	0	26	2	1,200,000$
18	William Lagesson (R)	0				X	100.00	71	41	80	60	82	79	80	58	30	65	55	60	48	67	69	0	75	62	0	27	1	750,000$
19	John Parker-Jones	0				X	100.00	90	48	60	53	99	63	62	52	30	51	55	61	46	63	65	0	75	59	0	23	3	875,000$
Scratches
1	Rasmus Asplund	0	X	X	X		100.00	55	34	95	70	69	82	84	68	72	67	59	63	64	66	67	0	75	64	0	26	1	1,650,000$
2	Xavier Parent (R)	0	X	X			100.00	62	36	87	56	62	71	61	55	53	52	58	51	57	62	64	0	75	57	0	22	3	950,000$

	TEAM AVERAGE					100.00	68	45	79	63	76	80	78	62	52	63	59	60	57	65	66	0	75	62

Show or Hide Column

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	Anthony Stolarz	100.00	83	74	69	98	82	81	83	82	81	83	82	70	83	0	75	71	0	29	3	2,638,000$
2	Charlie Lindgren	100.00	81	65	60	76	80	79	81	80	79	81	80	70	84	0	75	68	0	30	1	875,000$
Scratches
1	Remi Poirier (R)	100.00	72	59	60	82	71	70	72	71	70	72	71	62	67	0	75	63	0	22	3	950,000$

	TEAM AVERAGE	100.00	79	66	63	85	78	77	79	78	77	79	78	67	78	0	75	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeremy Colliton	75	71	72	72	58	54	88	CAN	38	2	900,000$

Show or Hide Column

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	P/20	S1	S2	S3
1	Logan Brown	Monsters (CBJ)	C	7	4	4	8	5	4	0	5	29	30	6	16	13.33%	1	190	27.28	0	0	0	4	15	0	38	2	56.31%	293	0.84	1	1	0
2	Alex Steeves	Monsters (CBJ)	C	7	2	5	7	0	2	0	5	26	15	6	8	13.33%	1	128	18.34	1	0	1	4	11	0	0	0	51.90%	158	1.09	0	0	0
3	Liam Foudy	Monsters (CBJ)	C/RW	7	3	4	7	3	0	0	1	19	32	2	20	9.38%	5	173	24.79	0	0	0	5	15	1	41	1	33.33%	9	0.81	0	1	1
4	Brendan Lemieux	Monsters (CBJ)	LW/RW	7	3	4	7	3	12	0	20	7	7	11	9	42.86%	1	149	21.30	0	0	0	1	15	0	17	0	47.37%	19	0.94	1	0	0
5	Brendan Brisson	Monsters (CBJ)	C/LW/RW	7	3	2	5	0	2	0	3	13	20	6	12	15.00%	2	134	19.22	0	0	0	3	11	0	6	0	57.14%	7	0.74	0	0	1
6	Wayne Simmonds	Monsters (CBJ)	LW/RW	7	2	3	5	0	31	5	39	4	10	4	16	20.00%	0	145	20.81	1	1	2	3	12	0	12	0	16.67%	12	0.69	0	1	0
7	Gustav Lindstrom	Monsters (CBJ)	D	7	1	3	4	1	6	0	19	15	12	2	8	8.33%	15	154	22.07	0	1	1	5	12	0	30	0	0.00%	0	0.52	0	0	1
8	Pierre-Olivier Joseph	Monsters (CBJ)	D	7	0	3	3	2	6	0	16	8	12	4	3	0.00%	15	188	26.95	0	0	0	8	16	1	31	0	0.00%	0	0.32	0	0	0
9	Brayden Pachal	Monsters (CBJ)	D	7	0	2	2	-4	12	0	18	2	3	1	1	0.00%	8	90	12.95	0	0	0	0	0	0	9	0	0.00%	0	0.44	0	0	0
10	William Lagesson	Monsters (CBJ)	D	7	1	1	2	1	0	0	3	2	3	1	0	33.33%	2	35	5.12	0	0	0	0	0	0	0	0	0.00%	0	1.12	0	0	0
11	Jordan Spence	Monsters (CBJ)	D	7	0	2	2	1	6	0	15	8	7	3	12	0.00%	6	154	22.12	0	1	1	6	12	1	30	0	0.00%	0	0.26	0	0	0
12	Justin Barron	Monsters (CBJ)	D	7	0	2	2	2	4	0	14	13	8	4	6	0.00%	19	182	26.12	0	1	1	3	16	0	32	0	0.00%	0	0.22	0	0	0
13	Graeme Clarke	Monsters (CBJ)	RW	7	0	1	1	-5	0	0	2	9	14	8	8	0.00%	0	108	15.56	0	0	0	0	1	0	0	0	50.00%	10	0.18	0	0	0
14	Patrick Guay	Monsters (CBJ)	C	5	0	1	1	2	0	0	1	1	2	1	4	0.00%	0	15	3.10	0	0	0	0	0	0	0	0	40.00%	20	1.29	0	0	0
15	Turner Elson	Monsters (CBJ)	LW	7	1	0	1	-5	2	0	9	7	9	3	11	11.11%	0	108	15.55	0	0	0	0	0	0	0	0	66.67%	9	0.18	0	0	0
16	Rasmus Asplund	Monsters (CBJ)	C/LW/RW	2	1	0	1	0	0	0	0	7	7	2	5	14.29%	1	37	18.88	0	0	0	0	1	2	4	0	39.13%	46	0.53	0	0	0
17	Nathan Legare	Monsters (CBJ)	RW	5	0	1	1	2	0	0	1	2	1	1	2	0.00%	0	15	3.10	0	0	0	0	0	0	0	0	0.00%	0	1.29	0	0	0
18	John Parker-Jones	Monsters (CBJ)	D	5	0	0	0	1	0	0	5	1	0	0	0	0.00%	0	27	5.54	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
19	Xavier Parent	Monsters (CBJ)	C/LW	2	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.57	0	0	0	0	0	0	0	0	0.00%	1	0.00	0	0	0
20	Xavier Simoneau	Monsters (CBJ)	C	7	0	0	0	-5	2	0	11	25	14	5	9	0.00%	2	92	13.19	0	0	0	0	0	0	11	0	59.22%	103	0.00	0	0	0
21	Jacob Larsson	Monsters (CBJ)	D	7	0	0	0	-4	0	0	2	1	4	3	1	0.00%	8	79	11.33	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
Team Total or Average				131	21	38	59	0	89	5	189	199	210	73	151	10.00%	86	2216	16.92	2	4	6	42	143	5	268	3	52.84%	687	0.53	2	3	3

Show or Hide Column

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	GA	SA	ST	BG
1	Anthony Stolarz	Monsters (CBJ)	7	3	3	1	0.893	3.80	426	2	27	253	7	0
2	Charlie Lindgren	Monsters (CBJ)	1	0	0	0	0.950	2.00	30	0	1	20	0	7
Team Total or Average			8	3	3	1	0.897	3.68	457	2	28	273	7	7

Show or Hide Column

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	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Average	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Alex Steeves	Monsters (CBJ)	C	24	12/10/1999	Yes	196 Lbs	6 ft0	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Anthony Stolarz (1 Way Contract)	Monsters (CBJ)	G	29	1/20/1994	No	243 Lbs	6 ft6	No	No	Yes	3	Pro & Farm	2,638,000$	2,638,000$	2,638,000$	0$	No	2,638,000$	2,638,000$	Link / NHL Link
Brayden Pachal	Monsters (CBJ)	D	24	8/23/1999	Yes	203 Lbs	6 ft2	No	No	No	3	Pro & Farm	995,000$	995,000$	0$	0$	No	995,000$	995,000$	Link / NHL Link
Brendan Brisson	Monsters (CBJ)	C/LW/RW	22	10/22/2001	Yes	179 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Brendan Lemieux (1 Way Contract)	Monsters (CBJ)	LW/RW	27	3/15/1996	No	215 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,688,000$	1,688,000$	1,688,000$	0$	No			Link / NHL Link
Charlie Lindgren	Monsters (CBJ)	G	30	12/18/1993	No	179 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	875,000$	875,000$	0$	0$	No			Link / NHL Link
Graeme Clarke	Monsters (CBJ)	RW	22	4/24/2001	Yes	175 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$	950,000$	NHL Link
Gustav Lindstrom	Monsters (CBJ)	D	25	10/20/1998	No	186 Lbs	6 ft2	No	No	No	3	Pro & Farm	998,900$	998,900$	0$	0$	No	998,900$	998,900$	Link / NHL Link
Jacob Larsson (1 Way Contract)	Monsters (CBJ)	D	26	4/29/1997	No	193 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	0$	No	1,200,000$		Link / NHL Link
John Parker-Jones	Monsters (CBJ)	D	23	4/7/2000	No	230 Lbs	6 ft7	No	No	No	3	Pro & Farm	875,000$	875,000$	0$	0$	No	875,000$	875,000$	Link / NHL Link
Jordan Spence	Monsters (CBJ)	D	22	2/24/2001	Yes	180 Lbs	5 ft10	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Justin Barron	Monsters (CBJ)	D	22	11/15/2001	Yes	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Liam Foudy	Monsters (CBJ)	C/RW	23	2/4/2000	Yes	188 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Logan Brown	Monsters (CBJ)	C	25	3/5/1998	No	218 Lbs	6 ft6	No	No	No	1	Pro & Farm	995,000$	995,000$	0$	0$	No			Link / NHL Link
Nathan Legare	Monsters (CBJ)	RW	22	1/11/2001	Yes	205 Lbs	6 ft0	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Patrick Guay	Monsters (CBJ)	C	21	4/29/2002	Yes	181 Lbs	5 ft9	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link
Pierre-Olivier Joseph	Monsters (CBJ)	D	24	7/1/1999	No	185 Lbs	6 ft2	No	No	No	3	Pro & Farm	995,000$	995,000$	0$	0$	No	995,000$	995,000$	Link / NHL Link
Rasmus Asplund (1 Way Contract)	Monsters (CBJ)	C/LW/RW	26	12/3/1997	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,650,000$	1,650,000$	1,650,000$	0$	No			Link / NHL Link
Remi Poirier	Monsters (CBJ)	G	22	10/6/2001	Yes	210 Lbs	6 ft2	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link
Turner Elson	Monsters (CBJ)	LW	31	9/13/1992	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Wayne Simmonds (1 Way Contract)	Monsters (CBJ)	LW/RW	35	8/26/1988	No	184 Lbs	6 ft2	No	No	No	2	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	0$	No	4,000,000$		Link / NHL Link
William Lagesson	Monsters (CBJ)	D	27	2/22/1996	Yes	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Xavier Parent	Monsters (CBJ)	C/LW	22	3/23/2001	Yes	170 Lbs	5 ft8	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link
Xavier Simoneau	Monsters (CBJ)	C	22	5/19/2001	Yes	183 Lbs	5 ft6	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	24.83	195 Lbs	6 ft1	2.17	1,208,746$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brendan Lemieux	Logan Brown	Liam Foudy	45	1	2	2
2	Wayne Simmonds	Alex Steeves	Brendan Brisson	30	1	2	2
3	Turner Elson	Xavier Simoneau	Graeme Clarke	20	1	2	2
4	Logan Brown	Patrick Guay	Nathan Legare	5	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Pierre-Olivier Joseph	Justin Barron	40	1	2	2
2	Jordan Spence	Gustav Lindstrom	30	1	2	2
3	Jacob Larsson	Brayden Pachal	20	1	2	2
4	William Lagesson	John Parker-Jones	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brendan Lemieux	Logan Brown	Liam Foudy	60	1	2	2
2	Wayne Simmonds	Alex Steeves	Brendan Brisson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Pierre-Olivier Joseph	Justin Barron	60	1	2	2
2	Jordan Spence	Gustav Lindstrom	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Logan Brown	Liam Foudy	60	1	2	2
2	Brendan Lemieux	Wayne Simmonds	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Pierre-Olivier Joseph	Justin Barron	60	1	2	2
2	Jordan Spence	Gustav Lindstrom	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Logan Brown	60	1	2	2	Pierre-Olivier Joseph	Justin Barron	60	1	2	2
2	Liam Foudy	40	1	2	2	Jordan Spence	Gustav Lindstrom	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Logan Brown	Liam Foudy	60	1	2	2
2	Brendan Lemieux	Wayne Simmonds	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Pierre-Olivier Joseph	Justin Barron	60	1	2	2
2	Jordan Spence	Gustav Lindstrom	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brendan Lemieux	Logan Brown	Liam Foudy	Pierre-Olivier Joseph	Justin Barron

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brendan Lemieux	Logan Brown	Liam Foudy	Pierre-Olivier Joseph	Justin Barron

Extra Forwards
Normal	PowerPlay	Penalty Kill
Graeme Clarke, Turner Elson, Xavier Simoneau	Graeme Clarke, Turner Elson	Xavier Simoneau

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jacob Larsson, Brayden Pachal, William Lagesson	Jacob Larsson	Brayden Pachal, William Lagesson

Penalty Shots
Logan Brown, Liam Foudy, Brendan Lemieux, Wayne Simmonds, Alex Steeves

Goalie
#1 : Anthony Stolarz, #2 : Charlie Lindgren

Custom OT Lines Forwards
Logan Brown, Liam Foudy, Brendan Lemieux, Wayne Simmonds, Alex Steeves, Brendan Brisson, Brendan Brisson, Graeme Clarke, Turner Elson, Xavier Simoneau, Nathan Legare

Custom OT Lines Defensemen
Pierre-Olivier Joseph, Justin Barron, Jordan Spence, Gustav Lindstrom, Jacob Larsson

Show or Hide Column

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	Condors	7	3	4	0	0	0	0	0	21	28	-7	3	2	1	0	0	0	0	0	13	12	1	4	1	3	0	0	0	0	0	8	16	-8	6	0.429	21	38	59	0	0	7	7	6	1	210	67	54	58	31	273	86	91	189	18	2	11.11%	39	9	76.92%	0	126	248	50.81%	157	303	51.82%	80	136	58.82%	171	117	189	56	95	46
	Total	7	3	4	0	0	0	0	0	21	28	-7	3	2	1	0	0	0	0	0	13	12	1	4	1	3	0	0	0	0	0	8	16	-8	6	0.429	21	38	59	0	0	7	7	6	1	210	67	54	58	31	273	86	91	189	18	2	11.11%	39	9	76.92%	0	126	248	50.81%	157	303	51.82%	80	136	58.82%	171	117	189	56	95	46
	_Since Last GM Reset	7	3	4	0	0	0	0	0	21	28	-7	3	2	1	0	0	0	0	0	13	12	1	4	1	3	0	0	0	0	0	8	16	-8	6	0.429	21	38	59	0	0	7	7	6	1	210	67	54	58	31	273	86	91	189	18	2	11.11%	39	9	76.92%	0	126	248	50.81%	157	303	51.82%	80	136	58.82%	171	117	189	56	95	46
	_Vs Conference	7	3	4	0	0	0	0	0	21	28	-7	3	2	1	0	0	0	0	0	13	12	1	4	1	3	0	0	0	0	0	8	16	-8	6	0.429	21	38	59	0	0	7	7	6	1	210	67	54	58	31	273	86	91	189	18	2	11.11%	39	9	76.92%	0	126	248	50.81%	157	303	51.82%	80	136	58.82%	171	117	189	56	95	46

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
7	6	L1	21	38	59	210	273	86	91	189	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	21	28

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	13	12

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	8	16

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	3	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
18	2	11.11%	39	9	76.92%	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
67	54	58	31	7	7	6	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
126	248	50.81%	157	303	51.82%	80	136	58.82%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
171	117	189	56	95	46

Last Played Games Show or Hide Column

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 - 2024-04-18	7	Monsters	5	Condors	1	AW		BoxScore
3 - 2024-04-20	15	Monsters	0	Condors	5	AL		BoxScore
5 - 2024-04-22	23	Condors	4	Monsters	3	BL		BoxScore
7 - 2024-04-24	31	Condors	4	Monsters	5	BW	X	BoxScore
9 - 2024-04-26	39	Monsters	3	Condors	4	AL	X	BoxScore
11 - 2024-04-28	47	Condors	4	Monsters	5	BW		BoxScore
13 - 2024-04-30	55	Monsters	0	Condors	6	AL		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	25	15
Attendance	6,000	3,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	3000 - 100.00%	81,250$	243,750$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,783,390$	1,583,390$	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$	0	0$	0$

Monsters Stat Leaders (Regular Season)

Show or Hide Column

#	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	Liam Foudy	153	74	88	162	33	20	88	501	691	10.71%	61	3233	21.13	20	17	37	115	1	2	3	11	13	3	56.84%	0	1.00	3	7
2	Logan Brown	146	49	96	145	37	110	361	505	545	8.99%	53	3442	23.58	8	23	31	76	0	3	3	14	10	2	56.36%	2	0.84	1	8
3	Rasmus Asplund	125	66	77	143	27	8	34	331	569	11.60%	40	2751	22.01	15	18	33	107	2	3	5	14	12	3	54.64%	3	1.04	1	9
4	Pierre-Olivier Joseph	154	23	110	133	28	101	353	224	268	8.58%	204	3573	23.20	8	26	34	126	1	2	3	4	0	2	0.00%	0	0.74	0	0
5	Alex Steeves	140	50	68	118	17	31	141	382	421	11.88%	30	2290	16.36	3	10	13	33	0	0	0	4	8	1	54.08%	2	1.03	0	2

Monsters Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Ilya Samsonov	83	55	25	3	0.915	2.89	4965	8	2	239	2802	2	1	0.759	29
2	Anthony Stolarz	73	42	26	3	0.907	3.11	4165	0	3	216	2328	1	2	0.833	18
3	Charlie Lindgren	54	29	13	1	0.903	3.23	2728	2	1	147	1521	2	1	0.857	14
4	Kevin Poulin	33	12	11	4	0.886	3.96	1635	2	0	108	951	4	0	0.000	0
5	Sean Bonar	57	10	40	4	0.895	5.59	2908	4	0	271	2570	1	2	0.750	8

Monsters Career Team Stats

Show or Hide Column

	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
23	82	22	49	0	4	2	2	3	281	386	-105	41	13	22	0	2	2	0	2	148	189	-41	41	9	27	0	2	0	2	1	133	197	-64	61	281	514	795	2	0	112	100	63	8	3135	1044	1034	1024	54	3890	1080	497	2149	233	50	21.46%	221	54	75.57%	3	1181	2957	39.94%	1390	3631	38.28%	572	1471	38.89%	1666	1145	2288	595	1002	462
2022	82	39	28	0	5	6	3	1	342	309	33	41	24	10	0	3	4	0	0	176	135	41	41	15	18	0	2	2	3	1	166	174	-8	101	342	622	964	1	1	130	107	97	9	3019	973	1005	1004	54	2838	851	505	1946	258	71	27.52%	208	53	74.52%	2	1687	3043	55.44%	1492	2818	52.95%	727	1431	50.80%	2147	1551	1799	558	1015	525
2023	82	37	34	0	4	3	3	1	282	296	-14	41	15	20	0	2	2	1	1	138	159	-21	41	22	14	0	2	1	2	0	144	137	7	92	282	512	794	3	3	96	90	89	10	2940	859	1005	1045	50	3020	892	677	2008	268	47	17.54%	278	53	80.94%	6	1578	2981	52.94%	1611	3148	51.18%	728	1372	53.06%	2025	1434	1910	580	1022	516
Total Regular Season	246	98	111	0	13	11	8	5	905	991	-86	123	52	52	0	7	8	1	3	462	483	-21	123	46	59	0	6	3	7	2	443	508	-65	254	905	1648	2553	6	4	338	297	249	27	9094	2876	3044	3073	158	9748	2823	1679	6103	759	168	22.13%	707	160	77.37%	11	4446	8981	49.50%	4493	9597	46.82%	2027	4274	47.43%	5839	4131	5998	1733	3040	1505
Playoff
2022	6	2	4	0	0	0	0	0	18	20	-2	3	1	2	0	0	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	9	10	-1	4	18	30	48	1	0	9	6	3	0	224	71	58	51	44	200	69	60	157	23	3	13.04%	30	6	80.00%	0	116	244	47.54%	113	234	48.29%	65	109	59.63%	183	128	165	52	91	45
2023	7	3	4	0	0	0	0	0	21	28	-7	3	2	1	0	0	0	0	0	13	12	1	4	1	3	0	0	0	0	0	8	16	-8	6	21	38	59	0	0	7	7	6	1	210	67	54	58	31	273	86	91	189	18	2	11.11%	39	9	76.92%	0	126	248	50.81%	157	303	51.82%	80	136	58.82%	171	117	189	56	95	46
Total Playoff	13	5	8	0	0	0	0	0	39	48	-9	6	3	3	0	0	0	0	0	22	22	0	7	2	5	0	0	0	0	0	17	26	-9	10	39	68	107	1	0	16	13	9	1	434	138	112	109	75	473	155	151	346	41	5	12.20%	69	15	78.26%	0	242	492	49.19%	270	537	50.28%	145	245	59.18%	354	245	354	109	187	91

Monsters Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKS	GW	GT	FO%	P/20
1	Liam Foudy	13	9	4	13	5	0	3	43	67	13.43%	8	321	24.74	1	0	1	10	2	2	1	56.79%	0.81
2	Logan Brown	13	6	5	11	5	14	29	43	52	11.54%	4	357	27.52	0	0	0	6	2	2	0	55.46%	0.61
3	Brendan Lemieux	13	3	6	9	4	16	43	18	19	15.79%	4	293	22.54	0	0	0	3	0	0	0	41.18%	0.61
4	Alex Steeves	7	2	5	7	0	2	5	26	15	13.33%	1	128	18.34	1	0	1	4	0	0	0	51.90%	1.09
5	Rasmus Asplund	6	3	4	7	1	2	1	22	22	13.64%	3	150	25.01	0	2	2	1	2	0	0	36.84%	0.93

Monsters Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	EG
1	Anthony Stolarz	7	3	3	1	0.893	3.80	426	2	27	253	0
2	Charlie Lindgren	5	2	1	1	0.908	2.51	335	2	14	152	0
3	Kevin Poulin	2	0	1	0	0.904	2.80	107	0	5	52	1

	Monsters
	GP: 7 \| W: 3 \| L: 4 GF: 21 \| GA: 28 \| PP%: 11.11% \| PK%: 76.92% GM : Eric Leclerc \| Morale : 75 \| Team Overall : 63