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

Game Center
	Bruins 32-44-6, 70pts	3	Box score	2	Monsters 51-26-5, 107pts

Team Stats
W3	Streak	OTL1
18-21-2	Home Record	26-10-5
14-23-4	Home Record	25-16-0
5-5-0	Last 10 Games	6-1-3
3.00	Goals Per Game	3.44
3.60	Goals Against Per Game	2.66
19.00%	Power Play Percentage	23.89%
75.69%	Penalty Kill Percentage	78.71%

Bears
47-28-7, 101pts

Box score

Monsters
51-26-5, 107pts

Team Stats
W2	Streak	OTL1
21-17-3	Home Record	26-10-5
26-11-4	Home Record	25-16-0
5-4-1	Last 10 Games	6-1-3
3.57	Goals Per Game	3.44
3.11	Goals Against Per Game	2.66
21.10%	Power Play Percentage	23.89%
80.39%	Penalty Kill Percentage	78.71%

Team Leaders
	Goals Pierre Engvall 31	Assists Parker Wotherspoon 60

	Points Pierre Engvall 87	Plus/Minus Ville Heinola 31

	Wins Nikita Tolopilo 50	Save Percentage Cal Petersen 0.92

Team Stats
Goals For 282 3.44 GFG	Shots For 2716 33.12 Avg	Power Play Percentage 23.9% 75 GF	Offensive Zone Start 41.8%
Goals Against 218 2.66 GAA	Shots Against 2400 29.27 Avg	Penalty Kill Percentage 78.7%% 66 GA	Defensive Zone Start 39.4%

Team Info
	General Manager	Vincent Attic
	Coach	Mike Vellucci
	Division	Metropolitan Division
	Conference	Eastern Conference
	Captain
	Assistant #1	Pierre Engvall
	Assistant #2	Carl Grundstrom
Arena Info
	Capacity	5,000
	Attendance	4,656
	Season Tickets	3,750
Roster Info
	Pro Team	24
	Farm Team	20
	Contract Limit	44 / 70
	Prospects	27

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	Pierre Engvall (A)		X	X		100.00	64	38	92	72	91	82	86	67	58	66	63	65	64	71	73	0	40	67	0	30	1	1,250,000$
2	Emil Bemstrom	X		X		100.00	65	39	86	69	72	84	85	68	72	66	67	61	68	67	69	0	40	66	0	27	1	925,000$
3	Adam Edstrom	X				100.00	86	53	86	62	99	79	80	63	65	60	61	64	62	65	67	0	40	65	0	25	2	925,000$
4	Carl Grundstrom (A)		X	X		100.00	84	35	90	66	74	76	80	64	56	60	62	63	61	69	71	0	40	65	0	28	4	1,499,999$
5	Kyle MacLean	X				100.00	72	40	89	64	76	77	90	63	73	62	60	65	61	66	68	0	40	64	0	27	1	925,000$
6	Axel Jonsson-Fjallby		X			100.00	70	37	93	64	75	79	85	62	58	60	59	61	63	67	69	0	40	63	0	28	2	1,100,000$
7	Carson Meyer			X		100.00	71	39	73	64	70	84	78	63	56	62	61	60	63	68	70	0	40	63	0	29	4	1,499,999$
8	Brennan Othmann		X			100.00	69	40	73	65	73	84	82	64	58	62	61	63	65	62	64	0	40	63	0	23	2	925,000$
9	Carl Berglund	X				100.00	73	38	94	58	82	76	70	56	64	57	53	59	54	65	67	0	40	61	0	26	2	925,000$
10	Michael Milne		X			100.00	72	38	75	59	69	82	79	56	53	58	57	55	59	63	64	0	40	60	0	23	3	925,000$
11	Sam Lipkin (R)		X			100.00	70	40	83	57	79	71	72	56	54	55	55	58	56	62	64	0	40	60	0	23	3	925,000$
12	Parker Wotherspoon				X	100.00	73	54	83	65	76	86	81	63	30	68	58	71	50	68	70	0	40	65	0	29	4	1,499,999$
13	Ville Ottavainen				X	100.00	81	41	84	64	91	82	86	63	30	66	57	61	49	63	65	0	40	65	0	24	2	925,000$
14	Albert Johansson				X	100.00	66	38	81	65	68	83	84	64	30	63	56	65	51	64	66	0	40	63	0	25	1	925,000$
15	Matthew Robertson				X	100.00	76	42	74	61	89	85	84	59	30	60	56	62	49	64	66	0	40	63	0	25	3	1,499,999$
16	Riley Stillman				X	100.00	75	62	66	60	82	69	76	59	30	60	57	65	51	67	69	0	40	62	0	28	2	1,100,000$
17	Ville Heinola				X	100.00	61	39	84	63	71	82	71	64	30	63	58	60	50	64	66	0	40	62	0	25	3	1,499,999$
Scratches
1	Gavin Hayes (R)		X			100.00	64	37	94	57	73	81	68	54	58	56	55	57	53	61	63	0	40	59	0	22	3	925,000$
2	Josh Davies		X			100.00	59	43	63	53	69	65	62	52	55	51	50	54	50	61	63	0	40	55	0	22	3	1,499,999$
3	Travis Dermott				X	100.00	68	35	88	65	74	83	73	63	30	62	55	79	52	71	69	0	40	64	0	29	3	1,499,999$
4	Tobias Bjornfot				X	100.00	68	38	87	60	74	79	75	59	30	58	55	61	50	64	66	0	40	61	0	25	3	1,499,999$
5	Charlie Wright (R)				X	100.00	64	36	95	57	73	61	63	55	30	56	50	54	45	62	64	0	40	58	0	22	3	925,000$

	TEAM AVERAGE					100.00	71	41	83	62	77	79	78	61	48	61	58	62	56	65	67	0	40	62

Show or Hide Columns

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Nikita Tolopilo	100.00	77	85	81	98	76	75	77	76	75	77	76	65	73	0	40	67	0	26	4	1,499,999$
2	Cal Petersen	100.00	75	83	78	77	74	73	75	74	73	75	74	72	85	0	40	66	0	31	1	925,000$
Scratches

	TEAM AVERAGE	100.00	76	84	80	88	75	74	76	75	74	76	75	69	79	0	40	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mike Vellucci	64	65	69	70	88	82	58	USA	59	4	500,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Pierre Engvall	Monsters (CBJ)	LW/RW	82	31	56	87	18	23	5	57	151	334	99	232	9.28%	23	1783	21.75	6	20	26	57	260	0	0	0	1	42	4	4	46.00%	100	0	0.98	4	9	0	0	1	6	9	3
2	Emil Bemstrom	Monsters (CBJ)	C/RW	82	29	52	81	16	26	10	78	260	322	88	209	9.01%	16	1986	24.23	8	19	27	75	261	0	2	2	7	310	5	0	53.13%	2876	1	0.82	2	9	1	0	1	5	3	7
3	Parker Wotherspoon	Monsters (CBJ)	D	82	15	60	75	12	69	15	134	146	162	50	104	9.26%	180	2078	25.34	12	11	23	85	261	1	0	1	2	237	4	2	100.00%	1	0	0.72	0	0	1	1	1	4	4	4
4	Carl Grundstrom	Monsters (CBJ)	LW/RW	82	30	29	59	17	68	0	286	99	254	61	147	11.81%	20	1913	23.34	6	12	18	48	259	1	0	1	8	265	8	3	43.33%	150	0	0.62	3	8	0	0	0	5	3	4
5	Albert Johansson	Monsters (CBJ)	D	82	15	41	56	17	52	0	172	82	121	46	79	12.40%	97	1750	21.35	11	14	25	67	245	0	0	0	0	221	3	1	0%	0	0	0.64	0	0	0	0	0	3	1	5
6	Adam Edstrom	Monsters (CBJ)	C	82	23	30	53	10	76	10	201	187	211	54	153	10.90%	19	1556	18.98	6	10	16	53	246	0	0	0	0	138	3	3	50.33%	1949	1	0.68	3	5	0	0	2	4	3	3
7	Carson Meyer	Monsters (CBJ)	RW	82	24	28	52	5	47	5	139	102	264	81	181	9.09%	19	1705	20.80	6	12	18	56	246	0	0	0	0	0	3	0	46.09%	115	0	0.61	1	2	0	1	0	1	5	2
8	Axel Jonsson-Fjallby	Monsters (CBJ)	LW	82	23	28	51	8	12	0	50	122	218	71	164	10.55%	14	1619	19.75	7	13	20	51	246	0	0	0	4	153	6	0	43.81%	105	1	0.63	0	0	0	0	0	3	2	1
9	Brennan Othmann	Monsters (CBJ)	LW	82	24	22	46	27	26	0	89	91	191	59	157	12.57%	11	1011	12.34	0	0	0	0	4	0	0	0	0	1	3	0	54.72%	53	1	0.91	1	2	0	0	0	3	4	3
10	Travis Dermott	Monsters (CBJ)	D	61	13	32	45	-1	44	0	113	108	111	37	74	11.71%	100	1294	21.22	6	16	22	67	190	0	0	0	0	167	2	0	0%	0	0	0.70	0	0	0	0	0	2	2	5
11	Ville Ottavainen	Monsters (CBJ)	D	82	12	31	43	9	64	0	186	67	100	37	76	12.00%	102	1804	22.00	7	10	17	58	261	0	2	2	1	237	1	0	0%	0	0	0.48	0	0	0	0	0	1	2	2
12	Kyle MacLean	Monsters (CBJ)	C	82	14	24	38	25	27	5	48	169	198	62	138	7.07%	15	1236	15.08	0	0	0	2	9	0	0	0	2	111	1	0	54.09%	1307	0	0.61	1	3	0	0	1	1	0	3
13	Michael Milne	Monsters (CBJ)	LW	82	12	15	27	23	36	0	126	46	116	34	79	10.34%	15	1317	16.06	0	0	0	0	0	0	0	0	0	0	0	0	39.73%	73	0	0.41	0	0	0	0	0	0	1	3
14	Ville Heinola	Monsters (CBJ)	D	82	5	21	26	31	28	0	66	69	42	16	40	11.90%	73	1287	15.71	0	0	0	0	6	0	0	0	1	36	1	0	0%	0	0	0.40	0	0	0	0	0	0	2	1
15	Matthew Robertson	Monsters (CBJ)	D	61	3	18	21	16	80	10	142	47	32	14	21	9.38%	67	878	14.41	0	0	0	0	3	0	0	0	1	65	0	1	0%	0	0	0.48	0	0	0	0	2	0	2	1
16	Carl Berglund	Monsters (CBJ)	C	82	1	7	8	3	30	0	44	43	32	15	15	3.13%	16	535	6.53	0	0	0	0	0	0	0	0	0	0	0	0	51.98%	329	0	0.30	0	0	0	0	0	0	0	0
17	Tobias Bjornfot	Monsters (CBJ)	D	66	1	2	3	1	10	0	31	12	8	7	6	12.50%	14	237	3.61	0	0	0	0	2	0	0	0	1	2	0	0	0%	0	0	0.25	0	0	0	0	0	0	0	0
Team Total or Average				1336	275	496	771	237	718	60	1962	1801	2716	831	1875	10.13%	801	23997	17.96	75	137	212	619	2506	2	4	6	28	1991	44	14	51.80%	7058	4	0.64	15	38	2	2	8	38	43	47

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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Nikita Tolopilo	Monsters (CBJ)	82	50	24	5	0.910	2.58	4791	8	5	206	2298	3	2	0.788	33	82	0	7	3	7
2	Cal Petersen	Monsters (CBJ)	6	1	2	0	0.920	2.57	187	2	0	8	100	0	0	0.600	5	0	82	0	0	0
Team Total or Average			88	51	26	5	0.911	2.58	4978	10	5	214	2398	3	2		38	82	82	7	3	7

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
Adam Edstrom	Monsters (CBJ)	C	25	2000-10-12	SWE	No	241 Lbs	201 CM	No	No	Prospect		No	No	2	2024-05-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Albert Johansson	Monsters (CBJ)	D	25	2001-01-04	SWE	No	168 Lbs	183 CM	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Axel Jonsson-Fjallby	Monsters (CBJ)	LW	28	1998-02-10	SWE	No	189 Lbs	185 CM	No	No	N/A		Yes	Yes	2		False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Brennan Othmann	Monsters (CBJ)	LW	23	2003-01-05	CAN	No	192 Lbs	183 CM	No	No	Prospect		No	No	2	2024-05-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Cal Petersen	Monsters (CBJ)	G	31	1994-10-19	USA	No	185 Lbs	188 CM	No	No	Trade	2024-10-03	Yes	Yes	1		False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Carl Berglund	Monsters (CBJ)	C	26	2000-01-16	SWE	No	207 Lbs	188 CM	No	No	Prospect		No	No	2	2024-05-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Carl Grundstrom	Monsters (CBJ)	LW/RW	28	1997-12-01	SWE	No	200 Lbs	183 CM	No	No	Assign Manually		Yes	Yes	4	2024-07-17	False	False	Pro & Farm	1,499,999$	0$	0$	No	1,499,999$	1,499,999$	1,499,999$	-	-	-	-	-	-	1,499,999$	1,499,999$	1,499,999$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Carson Meyer	Monsters (CBJ)	RW	29	1997-08-18	USA	No	184 Lbs	180 CM	No	No	Assign Manually		Yes	Yes	4	2024-07-22	False	False	Pro & Farm	1,499,999$	0$	0$	No	1,499,999$	1,499,999$	1,499,999$	-	-	-	-	-	-	1,499,999$	1,499,999$	1,499,999$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Charlie Wright	Monsters (CBJ)	D	22	2003-10-22	CAN	Yes	179 Lbs	185 CM	No	No	Prospect		No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Emil Bemstrom	Monsters (CBJ)	C/RW	27	1999-06-01	SWE	No	190 Lbs	183 CM	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Gavin Hayes	Monsters (CBJ)	LW	22	2004-05-14	USA	Yes	177 Lbs	185 CM	No	No	Prospect		No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Josh Davies	Monsters (CBJ)	LW	22	2004-03-24	CAN	No	197 Lbs	175 CM	No	No	Free Agent		No	No	3	2025-07-19	False	False	Pro & Farm	1,499,999$	0$	0$	No	1,499,999$	1,499,999$	-	-	-	-	-	-	-	1,499,999$	1,499,999$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Kyle MacLean	Monsters (CBJ)	C	27	1999-04-29	USA	No	194 Lbs	185 CM	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matthew Robertson	Monsters (CBJ)	D	25	2001-03-09	CAN	No	211 Lbs	193 CM	No	No	Free Agent		No	No	3	2025-07-19	False	False	Pro & Farm	1,499,999$	0$	0$	No	1,499,999$	1,499,999$	-	-	-	-	-	-	-	1,499,999$	1,499,999$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Michael Milne	Monsters (CBJ)	LW	23	2002-09-21	CAN	No	185 Lbs	180 CM	No	No	N/A		No	No	3		False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Nikita Tolopilo	Monsters (CBJ)	G	26	2000-04-06	BLR	No	229 Lbs	198 CM	No	No	Assign Manually		No	No	4	2024-07-17	False	False	Pro & Farm	1,499,999$	0$	0$	No	1,499,999$	1,499,999$	1,499,999$	-	-	-	-	-	-	1,499,999$	1,499,999$	1,499,999$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Parker Wotherspoon	Monsters (CBJ)	D	29	1997-08-24	CAN	No	192 Lbs	185 CM	No	No	Assign Manually		Yes	Yes	4	2024-07-22	False	False	Pro & Farm	1,499,999$	0$	0$	No	1,499,999$	1,499,999$	1,499,999$	-	-	-	-	-	-	1,499,999$	1,499,999$	1,499,999$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Pierre Engvall	Monsters (CBJ)	LW/RW	30	1996-05-31	SWE	No	215 Lbs	196 CM	No	No	N/A		Yes	Yes	1		False	False	Pro & Farm	1,250,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Riley Stillman	Monsters (CBJ)	D	28	1998-03-09	CAN	No	207 Lbs	188 CM	No	No	N/A		Yes	Yes	2		False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Sam Lipkin	Monsters (CBJ)	LW	23	2003-01-03	USA	Yes	192 Lbs	188 CM	No	No	Prospect		No	No	3	2025-06-01	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Tobias Bjornfot	Monsters (CBJ)	D	25	2001-04-06	SWE	No	200 Lbs	183 CM	No	No	Free Agent		No	No	3	2025-07-19	False	False	Pro & Farm	1,499,999$	0$	0$	No	1,499,999$	1,499,999$	-	-	-	-	-	-	-	1,499,999$	1,499,999$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Travis Dermott	Monsters (CBJ)	D	29	1996-12-22	CAN	No	200 Lbs	183 CM	No	No	Free Agent	2025-01-03	Yes	Yes	3	2025-07-19	False	False	Pro & Farm	1,499,999$	0$	0$	No	1,499,999$	1,499,999$	-	-	-	-	-	-	-	1,499,999$	1,499,999$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ville Heinola	Monsters (CBJ)	D	25	2001-03-02	FIN	No	181 Lbs	183 CM	No	No	Free Agent		No	No	3	2025-07-19	False	False	Pro & Farm	1,499,999$	0$	0$	No	1,499,999$	1,499,999$	-	-	-	-	-	-	-	1,499,999$	1,499,999$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Ville Ottavainen	Monsters (CBJ)	D	24	2002-08-12	FIN	No	210 Lbs	196 CM	No	No	Prospect		No	No	2	2024-05-23	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	25.92	197 Lbs	185 CM	2.50	1,168,750$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Carl Grundstrom	Emil Bemstrom	Pierre Engvall	40	0	1	4
2	Axel Jonsson-Fjallby	Adam Edstrom	Carson Meyer	30	1	2	2
3	Brennan Othmann	Kyle MacLean	Michael Milne	20	1	2	2
4	Michael Milne	Carl Berglund	Carson Meyer	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Parker Wotherspoon	Ville Ottavainen	40	1	2	2
2		Albert Johansson	30	1	2	2
3		Ville Heinola	20	1	2	2
4		Parker Wotherspoon	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Carl Grundstrom	Emil Bemstrom	Pierre Engvall	60	0	0	5
2	Axel Jonsson-Fjallby	Adam Edstrom	Carson Meyer	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Parker Wotherspoon	Ville Ottavainen	60	1	1	3
2		Albert Johansson	40	1	1	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Emil Bemstrom	Carl Grundstrom	60	1	4	0
2	Adam Edstrom	Axel Jonsson-Fjallby	40	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Parker Wotherspoon	Ville Ottavainen	60	1	4	0
2		Albert Johansson	40	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Emil Bemstrom	60	0	5	0	Parker Wotherspoon	Ville Ottavainen	60	1	4	0
2	Adam Edstrom	40	0	5	0		Albert Johansson	40	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Emil Bemstrom	Carl Grundstrom	60	1	2	2
2	Adam Edstrom	Axel Jonsson-Fjallby	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Parker Wotherspoon	Ville Ottavainen	60	1	2	2
2		Albert Johansson	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Carl Grundstrom	Emil Bemstrom	Pierre Engvall	Parker Wotherspoon	Ville Ottavainen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Carl Grundstrom	Emil Bemstrom	Pierre Engvall	Parker Wotherspoon	Ville Ottavainen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Kyle MacLean, Carson Meyer, Axel Jonsson-Fjallby	Kyle MacLean, Carson Meyer	Kyle MacLean

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Ville Heinola,		, Ville Heinola

Penalty Shots
Pierre Engvall, Emil Bemstrom, Carl Grundstrom, Adam Edstrom, Kyle MacLean

Goalie
#1 : Nikita Tolopilo, #2 : Cal Petersen

Custom OT Lines Forwards
, , , , , , , , , Brennan Othmann

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	Admirals	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	8	12	0	0	107	85	78	20	57	869	919	883	83	58	17	18	39	8	2	25.00%	8	1	87.50%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
2	Americans	3	2	1	0	0	0	0	0	11	7	4	1	1	0	0	0	0	0	0	2	1	1	2	1	1	0	0	0	0	0	9	6	3	4	0.667	11	21	32	0	1	107	85	78	20	110	869	919	883	83	76	35	36	65	12	4	33.33%	17	4	76.47%	1	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
3	Barracuda	2	1	0	0	1	0	0	0	10	3	7	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	7	1	6	4	1.000	10	20	30	0	0	107	85	78	20	75	869	919	883	83	61	25	12	39	9	3	33.33%	5	0	100.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
4	Bears	4	2	0	0	0	1	1	0	15	13	2	2	0	0	0	0	1	1	0	8	8	0	2	2	0	0	0	0	0	0	7	5	2	7	0.875	15	23	38	0	0	107	85	78	20	134	869	919	883	83	129	42	45	106	19	5	26.32%	18	8	55.56%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
5	Bruins	3	1	1	0	0	0	0	1	10	11	-1	2	1	0	0	0	0	0	1	6	5	1	1	0	1	0	0	0	0	0	4	6	-2	3	0.500	10	18	28	0	0	107	85	78	20	116	869	919	883	83	80	23	16	70	9	1	11.11%	7	0	100.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
6	Canucks	2	1	0	0	0	0	0	1	6	5	1	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	6	9	15	0	0	107	85	78	20	76	869	919	883	83	60	18	14	53	5	3	60.00%	6	1	83.33%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
7	Checkers	3	3	0	0	0	0	0	0	23	7	16	1	1	0	0	0	0	0	0	11	2	9	2	2	0	0	0	0	0	0	12	5	7	6	1.000	23	44	67	0	0	107	85	78	20	154	869	919	883	83	71	18	27	85	9	5	55.56%	11	3	72.73%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
8	Comets	4	1	3	0	0	0	0	0	14	16	-2	2	0	2	0	0	0	0	0	5	8	-3	2	1	1	0	0	0	0	0	9	8	1	2	0.250	14	25	39	0	0	107	85	78	20	167	869	919	883	83	114	37	47	96	24	6	25.00%	13	4	69.23%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
9	Condors	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	1	2	2	0.500	7	12	19	0	0	107	85	78	20	62	869	919	883	83	74	17	28	48	4	3	75.00%	14	3	78.57%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
10	Crunch	3	0	0	0	1	0	2	0	11	8	3	2	0	0	0	1	0	1	0	8	6	2	1	0	0	0	0	0	1	0	3	2	1	6	1.000	11	17	28	0	0	107	85	78	20	90	869	919	883	83	82	35	20	79	14	3	21.43%	10	3	70.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
11	Eagles	2	1	0	0	1	0	0	0	8	6	2	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	13	21	0	0	107	85	78	20	70	869	919	883	83	36	21	19	44	11	2	18.18%	7	1	85.71%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
12	Firebirds	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	9	14	0	0	107	85	78	20	63	869	919	883	83	68	25	18	40	6	1	16.67%	9	2	77.78%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
13	Griffins	3	2	0	0	1	0	0	0	12	5	7	1	1	0	0	0	0	0	0	4	2	2	2	1	0	0	1	0	0	0	8	3	5	6	1.000	12	23	35	0	0	107	85	78	20	77	869	919	883	83	96	26	36	79	4	1	25.00%	18	3	83.33%	1	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
14	Gulls	2	1	1	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	5	3	2	2	0.500	7	13	20	0	0	107	85	78	20	62	869	919	883	83	69	31	12	62	8	2	25.00%	5	1	80.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
15	Heat	2	0	0	0	0	0	2	0	6	4	2	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	2	1	1	4	1.000	6	8	14	0	0	107	85	78	20	73	869	919	883	83	61	26	10	57	8	0	0.00%	4	2	50.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
16	IceHogs	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	7	12	19	0	0	107	85	78	20	57	869	919	883	83	53	23	28	54	9	2	22.22%	14	3	78.57%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
17	Marlies	3	3	0	0	0	0	0	0	11	4	7	2	2	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	4	3	1	6	1.000	11	22	33	0	1	107	85	78	20	95	869	919	883	83	70	22	22	73	12	2	16.67%	10	1	90.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
18	Moose	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	13	22	0	0	107	85	78	20	78	869	919	883	83	62	16	27	45	11	4	36.36%	10	2	80.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
19	Penguins	4	2	1	0	0	0	1	0	9	6	3	2	1	0	0	0	0	1	0	4	1	3	2	1	1	0	0	0	0	0	5	5	0	6	0.750	9	14	23	1	1	107	85	78	20	129	869	919	883	83	109	28	28	94	16	3	18.75%	14	1	92.86%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
20	Phantoms	3	0	2	0	0	1	0	0	4	7	-3	1	0	0	0	0	1	0	0	1	2	-1	2	0	2	0	0	0	0	0	3	5	-2	1	0.167	4	8	12	0	0	107	85	78	20	94	869	919	883	83	95	31	28	50	12	1	8.33%	13	4	69.23%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
21	Reign	2	1	0	0	0	0	1	0	9	5	4	1	1	0	0	0	0	0	0	5	2	3	1	0	0	0	0	0	1	0	4	3	1	4	1.000	9	13	22	0	0	107	85	78	20	86	869	919	883	83	51	10	6	50	9	0	0.00%	3	1	66.67%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
22	Roadrunners	2	1	0	0	1	0	0	0	8	1	7	1	1	0	0	0	0	0	0	6	0	6	1	0	0	0	1	0	0	0	2	1	1	4	1.000	8	11	19	0	1	107	85	78	20	51	869	919	883	83	62	10	12	52	8	2	25.00%	6	0	100.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
23	Rocket	3	1	2	0	0	0	0	0	11	10	1	1	0	1	0	0	0	0	0	3	4	-1	2	1	1	0	0	0	0	0	8	6	2	2	0.333	11	20	31	0	0	107	85	78	20	104	869	919	883	83	101	28	22	61	11	2	18.18%	11	3	72.73%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
24	Senators	3	2	1	0	0	0	0	0	8	4	4	2	1	1	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	2	0	2	4	0.667	8	15	23	0	1	107	85	78	20	109	869	919	883	83	91	29	23	75	9	2	22.22%	9	0	100.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
25	Silver Knights	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	9	14	0	0	107	85	78	20	53	869	919	883	83	61	25	16	50	8	1	12.50%	8	2	75.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
26	Sound Tigers	4	1	3	0	0	0	0	0	10	14	-4	2	1	1	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	4	10	-6	2	0.250	10	18	28	0	0	107	85	78	20	99	869	919	883	83	152	52	56	93	12	4	33.33%	20	5	75.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
27	Stars	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	16	25	0	0	107	85	78	20	52	869	919	883	83	56	19	20	47	10	3	30.00%	10	2	80.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
28	Thunderbirds	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	4	1	3	2	0.500	5	10	15	0	0	107	85	78	20	52	869	919	883	83	60	24	12	34	11	2	18.18%	6	2	66.67%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
29	Wild	2	0	2	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	3	6	9	0	0	107	85	78	20	67	869	919	883	83	46	11	30	41	11	3	27.27%	5	0	100.00%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
30	Wolf Pack	3	1	2	0	0	0	0	0	12	10	2	2	1	1	0	0	0	0	0	9	6	3	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	12	21	33	1	0	107	85	78	20	104	869	919	883	83	69	23	12	57	6	1	16.67%	6	1	83.33%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
31	Wolves	4	2	1	0	0	1	0	0	13	15	-2	2	1	0	0	0	1	0	0	5	5	0	2	1	1	0	0	0	0	0	8	10	-2	5	0.625	13	25	38	0	0	107	85	78	20	100	869	919	883	83	127	55	28	124	9	2	22.22%	13	3	76.92%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
	Total	82	39	26	0	5	3	7	2	282	218	64	41	19	10	0	3	3	4	2	142	101	41	41	20	16	0	2	0	3	0	140	117	23	107	0.652	282	496	778	2	5	107	85	78	20	2716	869	919	883	83	2400	802	728	1962	314	75	23.89%	310	66	78.71%	2	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
	_Since Last GM Reset	82	39	26	0	5	3	7	2	282	218	64	41	19	10	0	3	3	4	2	142	101	41	41	20	16	0	2	0	3	0	140	117	23	107	0.652	282	496	778	2	5	107	85	78	20	2716	869	919	883	83	2400	802	728	1962	314	75	23.89%	310	66	78.71%	2	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
	_Vs Conference	50	23	17	0	2	3	4	1	174	137	37	25	11	6	0	1	3	3	1	85	59	26	25	12	11	0	1	0	1	0	89	78	11	62	0.620	174	314	488	2	4	107	85	78	20	1682	869	919	883	83	1462	484	446	1207	178	42	23.60%	190	43	77.37%	2	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543
	_Vs Division	26	9	12	0	0	3	2	0	77	81	-4	13	4	4	0	0	3	2	0	38	34	4	13	5	8	0	0	0	0	0	39	47	-8	25	0.481	77	134	211	2	1	107	85	78	20	827	869	919	883	83	795	268	244	620	98	22	22.45%	97	26	73.20%	0	1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%	2035	1410	1884	600	1065	543

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	107	OTL1	282	496	778	2716	2400	802	728	1962	2	5

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	39	26	5	3	7	2	282	218

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	10	3	3	4	2	142	101

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	16	2	0	3	0	140	117

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	1	0	2	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
314	75	23.89%	310	66	78.71%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
869	919	883	83	107	85	78	20

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1485	2919	50.87%	1465	2747	53.33%	706	1313	53.77%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2035	1410	1884	600	1065	543

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
3 - 2025-09-28	16	Monsters	1	Admirals	2	L			Box score
5 - 2025-09-30	33	Monsters	1	Wild	2	L			Box score
7 - 2025-10-02	45	Comets	5	Monsters	4	L			Box score
10 - 2025-10-05	67	Eagles	3	Monsters	4	W	X		Box score
12 - 2025-10-07	82	Crunch	4	Monsters	5	W	X	X	Box score
15 - 2025-10-10	106	Monsters	5	Stars	3	W			Box score
18 - 2025-10-13	125	Bears	4	Monsters	5	W	X	X	Box score
19 - 2025-10-14	134	Monsters	2	Penguins	4	L			Box score
22 - 2025-10-17	152	Monsters	3	Americans	6	L			Box score
23 - 2025-10-18	166	Marlies	1	Monsters	2	W			Box score
26 - 2025-10-21	189	Thunderbirds	5	Monsters	1	L			Box score
27 - 2025-10-22	195	Monsters	2	Sound Tigers	5	L			Box score
30 - 2025-10-25	215	Monsters	2	Heat	1	W	X	X	Box score
33 - 2025-10-28	241	Monsters	3	Canucks	1	W			Box score
35 - 2025-10-30	254	Monsters	3	Condors	1	W			Box score
36 - 2025-10-31	264	Monsters	2	Firebirds	4	L			Box score
38 - 2025-11-02	274	Condors	5	Monsters	4	L			Box score
40 - 2025-11-04	290	Wolf Pack	4	Monsters	2	L			Box score
42 - 2025-11-06	305	Rocket	4	Monsters	3	L			Box score
43 - 2025-11-07	311	Monsters	5	Moose	3	W			Box score
45 - 2025-11-09	319	Monsters	4	Marlies	3	W			Box score
47 - 2025-11-11	335	Monsters	2	Griffins	1	W	X		Box score
49 - 2025-11-13	356	Monsters	4	Bears	3	W			Box score
51 - 2025-11-15	369	Marlies	0	Monsters	5	W			Box score
53 - 2025-11-17	388	Penguins	0	Monsters	2	W			Box score
56 - 2025-11-20	406	Monsters	6	Comets	4	W			Box score
59 - 2025-11-23	432	Griffins	2	Monsters	4	W			Box score
61 - 2025-11-25	442	Monsters	7	Checkers	3	W			Box score
62 - 2025-11-26	459	Monsters	3	Bears	2	W			Box score
64 - 2025-11-28	471	Monsters	2	Wolves	5	L			Box score
66 - 2025-11-30	486	Senators	3	Monsters	1	L			Box score
68 - 2025-12-02	502	Silver Knights	3	Monsters	4	W			Box score
71 - 2025-12-05	525	Gulls	5	Monsters	2	L			Box score
73 - 2025-12-07	540	Wild	3	Monsters	2	L			Box score
75 - 2025-12-09	560	Monsters	5	Gulls	3	W			Box score
77 - 2025-12-11	574	Monsters	4	Reign	3	W	X	X	Box score
83 - 2025-12-17	603	Sound Tigers	1	Monsters	4	W			Box score
84 - 2025-12-18	606	Monsters	2	Senators	0	W			Box score
86 - 2025-12-20	627	Comets	3	Monsters	1	L			Box score
89 - 2025-12-23	646	Americans	1	Monsters	2	W			Box score
90 - 2025-12-24	658	Penguins	1	Monsters	2	W	X	X	Box score
92 - 2025-12-26	675	Monsters	7	Barracuda	1	W			Box score
94 - 2025-12-28	692	Monsters	1	Silver Knights	3	L			Box score
96 - 2025-12-30	699	Monsters	4	Eagles	3	W			Box score
97 - 2025-12-31	714	Monsters	2	Roadrunners	1	W	X		Box score
99 - 2026-01-02	728	Heat	3	Monsters	4	W	X	X	Box score
101 - 2026-01-04	743	Canucks	4	Monsters	3	L	X	X	Box score
103 - 2026-01-06	760	Monsters	3	Penguins	1	W			Box score
106 - 2026-01-09	782	Senators	1	Monsters	5	W			Box score
108 - 2026-01-11	797	Stars	2	Monsters	4	W			Box score
110 - 2026-01-13	814	Crunch	2	Monsters	3	W	X		Box score
112 - 2026-01-15	828	Reign	2	Monsters	5	W			Box score
114 - 2026-01-17	840	Phantoms	2	Monsters	1	L	X		Box score
116 - 2026-01-19	858	Monsters	2	IceHogs	7	L			Box score
117 - 2026-01-20	868	Monsters	4	Thunderbirds	1	W			Box score
120 - 2026-01-23	887	Monsters	3	Comets	4	L			Box score
121 - 2026-01-24	894	IceHogs	1	Monsters	5	W			Box score
143 - 2026-02-15	918	Monsters	4	Bruins	6	L			Box score
145 - 2026-02-17	937	Sound Tigers	3	Monsters	2	L			Box score
147 - 2026-02-19	953	Monsters	3	Wolf Pack	4	L			Box score
148 - 2026-02-20	963	Admirals	1	Monsters	3	W			Box score
150 - 2026-02-22	978	Checkers	2	Monsters	11	W			Box score
152 - 2026-02-24	995	Roadrunners	0	Monsters	6	W			Box score
155 - 2026-02-27	1015	Monsters	3	Crunch	2	W	X	X	Box score
157 - 2026-03-01	1031	Monsters	5	Checkers	2	W			Box score
159 - 2026-03-03	1052	Monsters	1	Phantoms	2	L			Box score
162 - 2026-03-06	1070	Wolves	1	Monsters	2	W			Box score
164 - 2026-03-08	1086	Wolf Pack	2	Monsters	7	W			Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
166 - 2026-03-10	1104	Firebirds	2	Monsters	3	W			Box score
167 - 2026-03-11	1114	Monsters	2	Sound Tigers	5	L			Box score
169 - 2026-03-13	1125	Monsters	2	Phantoms	3	L			Box score
171 - 2026-03-15	1137	Monsters	6	Rocket	1	W			Box score
173 - 2026-03-17	1158	Barracuda	2	Monsters	3	W	X		Box score
174 - 2026-03-18	1170	Bruins	2	Monsters	4	W			Box score
176 - 2026-03-20	1185	Wolves	4	Monsters	3	L	X		Box score
178 - 2026-03-22	1197	Monsters	6	Wolves	5	W			Box score
180 - 2026-03-24	1215	Moose	1	Monsters	4	W			Box score
183 - 2026-03-27	1235	Monsters	6	Griffins	2	W			Box score
185 - 2026-03-29	1247	Monsters	6	Americans	0	W			Box score
187 - 2026-03-31	1271	Monsters	2	Rocket	5	L			Box score
188 - 2026-04-01	1278	Bruins	3	Monsters	2	L	X	X	Box score
190 - 2026-04-03	1295	Bears	4	Monsters	3	L	X		Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	25	15
Attendance	114,004	76,907
Attendance PCT	92.69%	93.79%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	4656 - 93.13%	142,571$	5,845,408$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
3,275,406$	2,805,000$	2,805,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	2,775,498$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	17,124$	0$

Monsters Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Monsters Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Monsters Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Monsters Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Monsters Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Monsters
	GP: 82 \| W: 51 \| L: 26 \| OTL: 5 \| P: 107 GF: 282 \| GA: 218 \| PP%: 23.89% \| PK%: 78.71% GM : Vincent Attic \| Morale : 40 \| Team Overall : 63