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1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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#	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
1	Alex Limoges	0	X	X			100.00	69	37	93	66	78	80	81	64	73	65	63	62	66	69	70	0	75	65	0
2	Brendan Gaunce	0	X	X			100.00	78	40	82	63	87	86	83	62	78	61	64	65	63	71	73	0	75	65	0
3	Alex Steeves (R)	0	X	X	X		100.00	74	38	82	67	75	89	85	65	69	63	66	61	64	67	68	0	75	65	0
4	Mason Morelli	99	X	X			100.00	72	39	78	65	76	82	81	64	56	60	67	62	66	69	71	0	75	65	0
5	Christian Fischer	0	X		X		100.00	77	46	88	65	83	78	83	63	58	64	60	66	61	72	68	0	75	65	0
6	Liam Foudy (R)	0	X	X	X		100.00	65	37	89	68	75	87	81	65	71	66	59	64	62	65	67	0	75	64	0
7	Matthew Highmore	0	X	X	X		100.00	69	36	94	65	70	79	81	63	67	64	59	68	57	69	70	0	75	64	0
8	Rutger McGroarty (R)	0	X	X	X		100.00	69	39	83	66	78	88	72	64	62	65	60	62	64	61	63	0	75	63	0
9	Anton Wahlberg (R)	0	X	X			100.00	73	39	94	59	82	76	73	58	67	60	57	59	56	60	62	0	75	61	0
10	Xavier Simoneau (R)	0	X	X			100.00	64	43	58	63	65	72	81	62	68	61	55	63	60	64	66	0	75	61	0
11	Jake Bean	0				X	100.00	61	35	91	66	76	86	87	65	30	67	58	68	52	69	67	0	75	65	0
12	Gustav Lindstrom	0				X	100.00	72	39	81	64	79	82	77	62	30	67	60	63	51	67	69	0	75	64	0
13	Kaedan Korczak (R)	0				X	100.00	74	42	87	64	84	83	77	62	30	68	58	63	52	64	66	0	75	64	0
14	Ville Ottavainen (R)	0				X	100.00	81	41	84	64	91	82	86	63	30	66	57	61	49	63	65	0	75	64	0
15	William Lagesson	0				X	100.00	76	42	77	62	83	82	73	61	30	65	58	70	50	69	71	0	75	64	0
16	Pierre-Olivier Joseph	0				X	100.00	68	38	81	69	77	86	79	67	30	68	54	62	51	66	67	0	75	64	0
Scratches
1	Logan Brown (R)	0	X	X			100.00	87	52	87	67	96	81	65	66	71	68	63	67	64	67	69	0	75	67	0
2	Xavier Parent (R)	0	X	X			100.00	62	39	73	63	62	87	85	62	68	61	60	62	61	64	66	0	75	62	0
3	Dylan Gambrell	0	X		X		100.00	60	37	88	64	69	79	82	58	68	60	59	62	56	69	71	0	75	62	0
4	Graeme Clarke (R)	0		X	X		100.00	68	37	84	59	69	91	85	57	60	58	59	56	55	65	64	0	75	61	0
5	Nathan Gaucher (R)	0	X	X			100.00	76	50	69	58	85	73	84	55	62	56	57	59	58	62	64	0	75	60	0
6	Brendan Lemieux	0		X	X		100.00	78	74	53	58	80	77	67	57	54	56	59	55	58	71	70	0	75	60	0
7	Milo Roelens	0	X	X			100.00	84	43	73	56	93	66	67	54	57	51	55	58	54	62	64	0	75	59	0
8	Logan Stanley	0				X	100.00	74	84	66	63	99	86	76	62	30	71	54	70	47	68	67	0	75	64	0
9	Aidan Fulp	0				X	100.00	81	41	89	53	90	63	75	52	30	55	51	59	45	65	67	0	75	59	0
10	Jesse Pulkkinen (R)	0				X	100.00	84	43	94	55	93	65	60	54	30	53	50	59	45	61	63	0	75	59	0
11	Cam McDonald (R)	0				X	100.00	55	37	84	54	64	62	63	53	30	52	50	55	45	64	66	0	75	56	0

	TEAM AVERAGE					100.00	72	43	82	62	80	80	77	61	52	62	58	62	56	66	67	0	75	63

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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
1	Brandon Halverson	100.00	76	82	77	96	75	74	76	75	74	76	75	69	83	0	75	67	0
2	Remi Poirier (R)	100.00	77	84	80	82	76	75	77	76	75	77	76	64	71	0	75	66	0
Scratches
1	Gabriel Carriere	100.00	70	75	71	78	69	68	70	69	68	70	69	65	73	0	75	62	0
2	Victor Ostman (R)	100.00	69	72	68	87	68	67	69	68	67	69	68	65	73	0	75	62	0

	TEAM AVERAGE	100.00	73	78	74	86	72	71	73	72	71	73	72	66	75	0	75	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Luke Richardson	78	74	76	80	84	78	64	CAN	56	3	750,000$

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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	EG	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Alex Limoges	Monsters (CBJ)	C/LW	29	18	16	34	26	6	0	19	52	133	30	74	13.53%	3	578	19.93	4	2	6	27	87	0	0	0	0	3	8	1	57.58%	66	0	1	1.18	0	0	0	3	4	1
2	Logan Brown	Monsters (CBJ)	C/LW	21	12	20	32	17	15	5	73	55	103	26	79	11.65%	8	498	23.74	0	4	4	14	61	0	0	0	1	28	0	1	56.89%	624	0	0	1.28	0	0	1	5	2	0
3	Alex Steeves	Monsters (CBJ)	C/LW/RW	29	18	13	31	25	8	0	52	45	113	40	86	15.93%	7	591	20.39	2	4	6	20	87	0	0	0	0	9	3	0	68.25%	63	0	1	1.05	0	1	0	3	3	1
4	Brendan Gaunce	Monsters (CBJ)	C/LW	29	13	15	28	22	16	0	74	75	104	34	85	12.50%	7	603	20.81	2	3	5	27	83	0	1	1	0	29	1	0	60.84%	738	0	0	0.93	1	1	0	2	4	4
5	Jake Bean	Monsters (CBJ)	D	29	7	20	27	19	6	0	21	49	59	20	63	11.86%	38	717	24.75	3	3	6	29	95	1	1	2	1	66	1	0	0.00%	0	0	0	0.75	0	0	0	0	0	2
6	William Lagesson	Monsters (CBJ)	D	23	6	21	27	14	16	0	52	23	52	6	39	11.54%	32	463	20.17	3	6	9	21	48	0	0	0	0	36	1	0	0.00%	0	0	0	1.16	0	0	0	1	0	4
7	Mason Morelli	Monsters (CBJ)	C/LW	27	11	14	25	13	22	0	40	47	100	37	68	11.00%	1	539	20.00	1	3	4	21	77	0	0	0	0	17	2	1	43.90%	41	0	0	0.93	0	1	0	0	3	0
8	Rutger McGroarty	Monsters (CBJ)	C/LW/RW	29	6	16	22	12	6	0	22	38	89	24	82	6.74%	7	505	17.42	0	1	1	2	9	0	0	0	1	15	0	0	64.15%	53	0	0	0.87	0	0	0	0	0	3
9	Christian Fischer	Monsters (CBJ)	C/RW	29	10	12	22	6	12	0	60	44	98	31	63	10.20%	3	518	17.89	1	5	6	15	68	0	1	1	0	32	2	1	54.67%	289	1	0	0.85	0	1	0	1	2	2
10	Gustav Lindstrom	Monsters (CBJ)	D	29	3	18	21	14	4	0	42	34	33	17	16	9.09%	31	561	19.35	3	3	6	13	59	0	0	0	0	50	0	0	0.00%	0	0	0	0.75	0	0	0	0	0	1
11	Logan Stanley	Monsters (CBJ)	D	19	5	16	21	10	26	0	38	21	27	14	20	18.52%	27	409	21.57	2	2	4	16	70	1	0	1	2	31	1	0	0.00%	0	0	0	1.02	0	0	0	0	2	1
12	Liam Foudy	Monsters (CBJ)	C/LW/RW	29	6	12	18	4	2	0	22	75	84	23	47	7.14%	9	451	15.58	0	0	0	2	2	0	1	1	1	60	0	0	59.26%	594	0	0	0.80	0	0	0	2	0	1
13	Matthew Highmore	Monsters (CBJ)	C/LW/RW	24	6	8	14	12	2	0	11	31	74	29	62	8.11%	1	415	17.29	0	1	1	7	26	0	0	0	2	40	1	0	46.15%	26	0	0	0.67	0	0	0	0	0	3
14	Pierre-Olivier Joseph	Monsters (CBJ)	D	29	3	8	11	12	10	0	46	20	30	4	15	10.00%	22	406	14.01	0	0	0	7	20	0	0	0	0	26	0	0	25.00%	4	0	0	0.54	0	0	0	0	0	1
15	Kaedan Korczak	Monsters (CBJ)	D	29	1	8	9	16	10	0	65	30	33	9	31	3.03%	26	542	18.70	0	1	1	9	26	0	0	0	0	23	1	0	0.00%	0	0	0	0.33	0	0	0	0	0	1
16	Ville Ottavainen	Monsters (CBJ)	D	29	0	8	8	10	12	0	40	12	16	3	12	0.00%	19	344	11.88	0	1	1	4	19	0	0	0	0	15	0	0	0.00%	0	0	0	0.46	0	0	0	0	0	0
17	Xavier Simoneau	Monsters (CBJ)	C/LW	11	1	4	5	2	6	0	20	11	30	5	12	3.33%	2	153	13.95	0	0	0	0	0	0	0	0	0	0	0	1	59.09%	22	0	0	0.65	0	0	0	0	0	0
18	Anton Wahlberg	Monsters (CBJ)	C/LW	19	0	2	2	3	0	0	2	3	13	3	5	0.00%	0	97	5.12	0	0	0	0	0	0	0	0	0	7	0	0	57.14%	7	0	0	0.41	0	0	0	0	0	0
19	Jesse Pulkkinen	Monsters (CBJ)	D	2	0	0	0	2	0	0	6	1	0	1	0	0.00%	2	29	14.84	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0
Team Total or Average				465	126	231	357	239	179	5	705	666	1191	356	859	10.58%	245	8428	18.13	21	39	60	234	845	2	4	6	8	495	21	5	58.45%	2527	1	2	0.85	1	4	1	17	20	25

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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 %	PSA	ST	BG	S1
1	Brandon Halverson	Monsters (CBJ)	15	13	2	0	0.932	1.97	914	1	30	441	1.000	4	15	3	3
2	Remi Poirier	Monsters (CBJ)	14	9	3	2	0.899	2.92	843	1	41	406	0.000	0	14	15	1
Team Total or Average			29	22	5	2	0.916	2.43	1757	2	71	847	1.000	4	29	18	4

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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	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Aidan Fulp	D	25	2000-02-29	No	216 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	870,000$	0$	0$	No	Link / NHL Link
Alex Limoges	C/LW	28	1997-09-16	No	201 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Alex Steeves	C/LW/RW	25	1999-12-10	Yes	202 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	874,400$	0$	0$	No	Link / NHL Link
Anton Wahlberg	C/LW	20	2005-07-04	Yes	194 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Brandon Halverson	G	29	1996-03-29	No	235 Lbs	6 ft5	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Brendan Gaunce	C/LW	31	1994-03-25	No	219 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	995,000$	0$	0$	No	Link / NHL Link
Brendan Lemieux	LW/RW	29	1996-03-15	No	215 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Cam McDonald	D	24	2001-02-03	Yes	174 Lbs	5 ft9	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Christian Fischer (1 Way Contract)	C/RW	28	1997-04-15	No	212 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	999,999$	999,999$	677,083$	No	Link / NHL Link
Dylan Gambrell (1 Way Contract)	C/RW	29	1996-08-26	No	185 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	1,500,000$	1,500,000$	1,015,625$	No	Link / NHL Link
Gabriel Carriere	G	24	2000-11-05	No	188 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Graeme Clarke	LW/RW	24	2001-04-24	Yes	175 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Gustav Lindstrom	D	26	1998-10-20	No	194 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	998,900$	0$	0$	No	Link / NHL Link
Jake Bean (1 Way Contract)	D	27	1998-06-09	No	191 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	999,999$	999,999$	677,083$	No	Link / NHL Link
Jesse Pulkkinen	D	20	2004-12-27	Yes	203 Lbs	6 ft6	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Kaedan Korczak	D	24	2001-01-29	Yes	203 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Liam Foudy (1 Way Contract)	C/LW/RW	25	2000-02-04	Yes	186 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	1,000,000$	1,000,000$	677,083$	No	Link / NHL Link
Logan Brown	C/LW	27	1998-03-05	Yes	218 Lbs	6 ft6	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Logan Stanley (1 Way Contract)	D	27	1998-05-26	No	231 Lbs	6 ft7	No	No	Yes	3	RFA	Pro & Farm	1,555,000$	1,555,000$	1,052,865$	No	Link / NHL Link
Mason Morelli	C/LW	29	1996-02-01	No	208 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Matthew Highmore	C/LW/RW	29	1996-02-27	No	186 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Milo Roelens	C/LW	22	2003-01-16	No	205 Lbs	6 ft6	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Nathan Gaucher	C/LW	21	2003-11-06	Yes	207 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Pierre-Olivier Joseph	D	26	1999-07-01	No	185 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	995,000$	0$	0$	No	Link / NHL Link
Remi Poirier	G	24	2001-10-06	Yes	210 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Rutger McGroarty	C/LW/RW	21	2004-03-30	Yes	203 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Victor Ostman	G	25	2000-10-03	Yes	205 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Ville Ottavainen	D	23	2002-08-12	Yes	210 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
William Lagesson (1 Way Contract)	D	29	1996-02-22	No	211 Lbs	6 ft2	No	No	Yes	2	UFA	Pro & Farm	1,283,000$	1,283,000$	868,698$	No	Link / NHL Link
Xavier Parent	C/LW	24	2001-03-23	Yes	170 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Xavier Simoneau	C/LW	24	2001-05-19	Yes	183 Lbs	5 ft6	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
31	25.45	201 Lbs	6 ft2	1.87	985,364$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Mason Morelli	Christian Fischer	Alex Steeves	40	1	2	2
2	Alex Limoges	Brendan Gaunce	Matthew Highmore	30	1	2	2
3	Rutger McGroarty	Liam Foudy	Xavier Simoneau	20	1	2	2
4	Anton Wahlberg	Xavier Simoneau	Christian Fischer	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Pierre-Olivier Joseph	40	1	2	2
2	William Lagesson	Ville Ottavainen	30	1	2	2
3	Kaedan Korczak	Gustav Lindstrom	20	1	2	2
4	Jake Bean	Pierre-Olivier Joseph	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Mason Morelli	Christian Fischer	Alex Steeves	60	1	2	2
2	Alex Limoges	Brendan Gaunce	Matthew Highmore	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Pierre-Olivier Joseph	60	1	2	2
2	William Lagesson	Ville Ottavainen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Christian Fischer	Mason Morelli	60	1	2	2
2	Alex Steeves	Brendan Gaunce	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Pierre-Olivier Joseph	60	1	2	2
2	William Lagesson	Ville Ottavainen	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Christian Fischer	60	1	2	2	Jake Bean	Pierre-Olivier Joseph	60	1	2	2
2	Mason Morelli	40	1	2	2	William Lagesson	Ville Ottavainen	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Christian Fischer	Mason Morelli	60	1	2	2
2	Alex Steeves	Brendan Gaunce	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Pierre-Olivier Joseph	60	1	2	2
2	William Lagesson	Ville Ottavainen	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Mason Morelli	Christian Fischer	Alex Steeves	Jake Bean	Pierre-Olivier Joseph

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Mason Morelli	Christian Fischer	Alex Steeves	Jake Bean	Pierre-Olivier Joseph

Extra Forwards
Normal	PowerPlay	Penalty Kill
Liam Foudy, Rutger McGroarty, Anton Wahlberg	Liam Foudy, Rutger McGroarty	Anton Wahlberg

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Kaedan Korczak, Gustav Lindstrom, William Lagesson	Kaedan Korczak	Gustav Lindstrom, William Lagesson

Penalty Shots
Christian Fischer, Mason Morelli, Alex Steeves, Brendan Gaunce, Alex Limoges

Goalie
#1 : Brandon Halverson, #2 : Remi Poirier

Custom OT Lines Forwards
Christian Fischer, Mason Morelli, Alex Steeves, Brendan Gaunce, Alex Limoges, Matthew Highmore, Matthew Highmore, Liam Foudy, Rutger McGroarty, Xavier Simoneau, Anton Wahlberg

Custom OT Lines Defensemen
Jake Bean, Pierre-Olivier Joseph, William Lagesson, Ville Ottavainen, Kaedan Korczak

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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
29	46	W3	129	234	363	1201	847	247	179	706	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	17	5	4	2	1	0	129	71

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	6	1	2	2	1	0	50	30

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	11	4	2	0	0	0	79	41

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	2	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
102	21	20.59%	77	14	81.82%	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
407	391	385	22	44	51	29	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
672	1130	59.47%	542	938	57.78%	277	468	59.19%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
818	597	572	194	366	197

Last Played Games Show or Hide Column

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
3 - 2025-10-09	16	Monsters	7	Admirals	3	W			BoxScore
5 - 2025-10-11	33	Monsters	7	Wild	1	W			BoxScore
7 - 2025-10-13	45	Devils	3	Monsters	4	W	X		BoxScore
10 - 2025-10-16	66	Eagles	2	Monsters	6	W			BoxScore
12 - 2025-10-18	82	Crunch	1	Monsters	5	W			BoxScore
15 - 2025-10-21	106	Monsters	5	Stars	0	W			BoxScore
18 - 2025-10-24	124	Bears	6	Monsters	5	L	X		BoxScore
19 - 2025-10-25	134	Monsters	4	Penguins	6	L			BoxScore
22 - 2025-10-28	153	Monsters	5	Americans	3	W			BoxScore
23 - 2025-10-29	166	Marlies	4	Monsters	3	L	X		BoxScore
26 - 2025-11-01	189	Thunderbirds	4	Monsters	8	W			BoxScore
27 - 2025-11-02	195	Monsters	0	Sound Tigers	2	L			BoxScore
30 - 2025-11-05	215	Monsters	2	Wranglers	1	W	X		BoxScore
33 - 2025-11-08	241	Monsters	6	Comets	2	W			BoxScore
35 - 2025-11-10	254	Monsters	2	Condors	3	L			BoxScore
36 - 2025-11-11	264	Monsters	8	Firebirds	2	W			BoxScore
38 - 2025-11-13	274	Condors	1	Monsters	4	W			BoxScore
40 - 2025-11-15	290	Wolf Pack	0	Monsters	1	W	X		BoxScore
42 - 2025-11-17	305	Rocket	2	Monsters	4	W			BoxScore
43 - 2025-11-18	311	Monsters	4	Moose	3	W	X		BoxScore
45 - 2025-11-20	319	Monsters	4	Marlies	3	W			BoxScore
47 - 2025-11-22	335	Monsters	6	Griffins	2	W			BoxScore
49 - 2025-11-24	356	Monsters	6	Bears	2	W			BoxScore
51 - 2025-11-26	369	Marlies	1	Monsters	2	W	X	X	BoxScore
53 - 2025-11-28	388	Penguins	3	Monsters	2	L			BoxScore
56 - 2025-12-01	406	Monsters	2	Devils	4	L			BoxScore
59 - 2025-12-04	431	Griffins	3	Monsters	6	W			BoxScore
61 - 2025-12-06	442	Monsters	6	Checkers	2	W			BoxScore
62 - 2025-12-07	459	Monsters	5	Bears	2	W			BoxScore
64 - 2025-12-09	471	Monsters	-	Wolves	-
66 - 2025-12-11	486	Senators	-	Monsters	-
68 - 2025-12-13	502	Silver Knights	-	Monsters	-
71 - 2025-12-16	524	Gulls	-	Monsters	-
73 - 2025-12-18	539	Wild	-	Monsters	-
75 - 2025-12-20	560	Monsters	-	Gulls	-
77 - 2025-12-22	574	Monsters	-	Reign	-
83 - 2025-12-28	602	Sound Tigers	-	Monsters	-
84 - 2025-12-29	606	Monsters	-	Senators	-
86 - 2025-12-31	627	Devils	-	Monsters	-
89 - 2026-01-03	646	Americans	-	Monsters	-
90 - 2026-01-04	658	Penguins	-	Monsters	-
92 - 2026-01-06	675	Monsters	-	Barracuda	-
94 - 2026-01-08	692	Monsters	-	Silver Knights	-
96 - 2026-01-10	699	Monsters	-	Eagles	-
97 - 2026-01-11	714	Monsters	-	Roadrunners	-
99 - 2026-01-13	728	Wranglers	-	Monsters	-
101 - 2026-01-15	743	Comets	-	Monsters	-
103 - 2026-01-17	760	Monsters	-	Penguins	-
106 - 2026-01-20	782	Senators	-	Monsters	-
108 - 2026-01-22	797	Stars	-	Monsters	-
110 - 2026-01-24	814	Crunch	-	Monsters	-
112 - 2026-01-26	828	Reign	-	Monsters	-
114 - 2026-01-28	840	Phantoms	-	Monsters	-
116 - 2026-01-30	858	Monsters	-	IceHogs	-
117 - 2026-01-31	868	Monsters	-	Thunderbirds	-
120 - 2026-02-03	886	Monsters	-	Devils	-
121 - 2026-02-04	894	IceHogs	-	Monsters	-
143 - 2026-02-26	918	Monsters	-	Bruins	-
145 - 2026-02-28	938	Sound Tigers	-	Monsters	-
147 - 2026-03-02	953	Monsters	-	Wolf Pack	-
148 - 2026-03-03	963	Admirals	-	Monsters	-
150 - 2026-03-05	978	Checkers	-	Monsters	-
152 - 2026-03-07	995	Roadrunners	-	Monsters	-
155 - 2026-03-10	1015	Monsters	-	Crunch	-
157 - 2026-03-12	1031	Monsters	-	Checkers	-
159 - 2026-03-14	1052	Monsters	-	Phantoms	-
162 - 2026-03-17	1070	Wolves	-	Monsters	-
164 - 2026-03-19	1086	Wolf Pack	-	Monsters	-
166 - 2026-03-21	1104	Firebirds	-	Monsters	-
167 - 2026-03-22	1114	Monsters	-	Sound Tigers	-
169 - 2026-03-24	1125	Monsters	-	Phantoms	-
171 - 2026-03-26	1137	Monsters	-	Rocket	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-28	1158	Barracuda	-	Monsters	-
174 - 2026-03-29	1170	Bruins	-	Monsters	-
176 - 2026-03-31	1185	Wolves	-	Monsters	-
178 - 2026-04-02	1196	Monsters	-	Wolves	-
180 - 2026-04-04	1215	Moose	-	Monsters	-
183 - 2026-04-07	1235	Monsters	-	Griffins	-
185 - 2026-04-09	1248	Monsters	-	Americans	-
187 - 2026-04-11	1271	Monsters	-	Rocket	-
188 - 2026-04-12	1278	Bruins	-	Monsters	-
190 - 2026-04-14	1295	Bears	-	Monsters	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	25	15
Attendance	23,873	11,957
Attendance PCT	99.47%	99.64%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-2	2986 - 99.53%	80,852$	970,224$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,027,363$	2,320,830$	2,320,830$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	783,782$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-161,704$	130	15,994$	2,079,220$

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	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
2024	82	30	36	0	10	4	1	1	295	304	-9	41	17	17	0	5	1	0	1	151	152	-1	41	13	19	0	5	3	1	0	144	152	-8	87	295	541	836	1	1	107	94	83	12	2919	984	962	942	40	2729	764	663	2010	277	61	22.02%	280	60	78.57%	0	1632	3157	51.69%	1553	2923	53.13%	740	1408	52.56%	2036	1417	1855	596	1063	538
2025	29	17	5	0	4	2	1	0	129	71	58	12	6	1	0	2	2	1	0	50	30	20	17	11	4	0	2	0	0	0	79	41	38	46	129	234	363	0	2	44	51	29	5	1201	407	391	385	22	847	247	179	706	102	21	20.59%	77	14	81.82%	2	672	1130	59.47%	542	938	57.78%	277	468	59.19%	818	597	572	194	366	197
Total Regular Season	111	47	41	0	14	6	2	1	424	375	49	53	23	18	0	7	3	1	1	201	182	19	58	24	23	0	7	3	1	0	223	193	30	133	424	775	1199	1	3	151	145	112	17	4120	1391	1353	1327	62	3576	1011	842	2716	379	82	21.64%	357	74	79.27%	2	2304	4287	53.74%	2095	3861	54.26%	1017	1876	54.21%	2854	2014	2428	791	1430	736