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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	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
10	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
11	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
12	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
13	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
14	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
15	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			94.54	62	39	73	63	62	87	85	62	68	61	60	62	61	64	66	0	75	62	0
3	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
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	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
6	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
7	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
8	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
9	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
10	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
11	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
12	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					99.80	72	43	82	62	80	80	77	61	52	62	58	62	56	66	67	0	75	63

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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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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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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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7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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	FW	FL	FT	S1	S2	S3
1	Jake Bean	Monsters (CBJ)	D	58	13	50	63	35	16	0	51	96	119	32	96	10.92%	88	1451	25.02	5	9	14	59	162	1	1	2	2	147	2	1	0.00%	0	0	0	0.87	0	0	0	0	0	0	3	5
2	Alex Limoges	Monsters (CBJ)	C/LW	60	30	31	61	40	6	0	40	90	227	52	133	13.22%	7	1232	20.54	7	8	15	46	163	0	0	0	1	75	10	1	56.62%	136	0	1	0.99	0	2	0	0	0	4	6	2
3	Alex Steeves	Monsters (CBJ)	C/LW/RW	57	31	29	60	46	16	0	95	77	203	66	163	15.27%	11	1131	19.85	4	9	13	44	149	0	0	0	2	32	7	1	64.91%	114	1	2	1.06	1	2	0	0	0	7	5	2
4	Brendan Gaunce	Monsters (CBJ)	C/LW	60	23	33	56	38	26	0	161	141	194	57	159	11.86%	11	1242	20.70	3	10	13	42	152	0	1	1	2	84	3	2	59.74%	1483	0	0	0.90	1	2	0	0	0	5	4	9
5	Mason Morelli	Monsters (CBJ)	C/LW	58	22	33	55	34	32	0	94	68	213	66	159	10.33%	10	1144	19.73	2	5	7	33	139	0	0	0	1	47	4	1	51.31%	191	0	0	0.96	0	2	0	0	0	1	6	2
6	Christian Fischer	Monsters (CBJ)	C/RW	60	21	34	55	22	41	15	110	99	218	66	153	9.63%	13	1150	19.18	2	9	11	27	139	1	1	2	3	75	3	1	55.17%	687	2	0	0.96	0	3	1	2	0	2	5	4
7	Logan Brown	Monsters (CBJ)	C/LW	39	21	31	52	28	36	10	133	120	186	45	134	11.29%	16	939	24.08	2	5	7	28	105	0	1	1	2	76	2	1	56.85%	1154	0	0	1.11	0	2	0	0	2	7	4	0
8	William Lagesson	Monsters (CBJ)	D	54	13	35	48	29	32	0	110	68	97	18	73	13.40%	78	1020	18.90	8	9	17	46	91	0	0	0	0	72	2	1	0.00%	0	0	0	0.94	0	0	0	0	0	1	0	9
9	Rutger McGroarty	Monsters (CBJ)	C/LW/RW	60	15	23	38	18	12	0	57	73	148	41	138	10.14%	15	969	16.16	0	2	2	2	12	0	0	0	1	42	2	0	52.66%	207	0	0	0.78	0	1	0	0	0	0	1	4
10	Gustav Lindstrom	Monsters (CBJ)	D	60	5	31	36	27	37	5	121	60	76	37	48	6.58%	68	1199	20.00	5	6	11	31	113	0	0	0	1	110	0	0	0.00%	0	0	0	0.60	0	0	0	0	0	1	0	1
11	Liam Foudy	Monsters (CBJ)	C/LW/RW	55	13	19	32	2	6	0	42	130	158	47	104	8.23%	12	886	16.12	2	3	5	8	30	0	1	1	1	71	3	2	58.21%	883	0	0	0.72	1	1	0	0	0	2	0	2
12	Matthew Highmore	Monsters (CBJ)	C/LW/RW	41	15	17	32	23	6	0	22	50	118	44	96	12.71%	4	666	16.26	2	2	4	14	35	0	0	0	3	53	1	1	50.00%	46	0	0	0.96	0	0	0	0	0	0	5	3
13	Pierre-Olivier Joseph	Monsters (CBJ)	D	60	9	22	31	26	28	0	83	60	75	14	37	12.00%	40	956	15.95	2	3	5	18	45	0	0	0	0	62	1	1	25.00%	4	0	0	0.65	0	0	0	0	0	0	0	1
14	Logan Stanley	Monsters (CBJ)	D	47	7	23	30	5	50	0	79	38	40	20	32	17.50%	50	694	14.78	2	2	4	19	74	1	0	1	2	46	1	0	0.00%	0	0	0	0.86	0	0	0	0	0	0	3	1
15	Ville Ottavainen	Monsters (CBJ)	D	50	0	20	20	18	22	0	74	23	39	9	29	0.00%	39	754	15.08	0	5	5	11	61	0	0	0	0	66	0	0	0.00%	0	0	0	0.53	0	0	0	0	0	1	0	0
16	Kaedan Korczak	Monsters (CBJ)	D	47	3	16	19	30	20	0	86	52	62	18	49	4.84%	44	896	19.07	1	1	2	25	60	0	0	0	0	64	1	0	0.00%	0	0	0	0.42	0	0	0	0	0	0	0	2
17	Xavier Simoneau	Monsters (CBJ)	C/LW	35	5	8	13	0	12	0	59	27	53	13	35	9.43%	17	450	12.88	0	0	0	0	0	0	0	0	0	0	0	1	53.73%	67	0	0	0.58	0	0	0	0	0	0	0	0
18	Xavier Parent	Monsters (CBJ)	C/LW	25	2	5	7	-10	2	0	12	22	23	10	20	8.70%	3	202	8.10	0	0	0	0	0	0	0	0	0	1	0	0	45.97%	124	0	0	0.69	1	1	0	0	0	0	0	1
19	Anton Wahlberg	Monsters (CBJ)	C/LW	30	1	4	5	7	0	0	14	5	25	8	12	4.00%	1	199	6.64	0	0	0	0	0	0	0	0	0	8	0	0	45.16%	31	0	0	0.50	0	0	0	0	0	0	0	0
20	Dylan Gambrell	Monsters (CBJ)	C/RW	6	1	3	4	4	0	0	3	5	12	2	7	8.33%	1	69	11.59	0	0	0	0	0	0	0	0	0	4	0	0	36.36%	33	0	0	1.15	0	0	0	0	0	0	0	0
21	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	0	0
Team Total or Average				964	250	467	717	424	400	30	1452	1305	2286	666	1677	10.94%	530	17289	17.94	47	88	135	453	1538	3	5	8	21	1145	42	14	56.90%	5160	3	3	0.83	4	16	1	2	2	31	42	48

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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	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S3
1	Brandon Halverson	Monsters (CBJ)	36	28	7	1	0.927	2.35	2146	0	4	84	1143	1	0.813	16	36	13	8	0
2	Remi Poirier	Monsters (CBJ)	22	15	4	2	0.905	2.71	1305	2	1	59	622	0	0.000	0	21	36	1	1
3	Ilya Samsonov	Blue Jackets	3	1	2	0	0.940	1.67	180	0	1	5	83	0	0.000	0	3	0	1	0
Team Total or Average			61	44	13	3	0.920	2.45	3632	2	6	148	1848	1	0.813	16	60	49	10	1

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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
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$	234,375$	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$	351,562$	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$	234,375$	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$	234,375$	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$	364,453$	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$	300,703$	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	Alex Limoges		Christian Fischer	40	1	2	2
2	Alex Steeves	Brendan Gaunce	Liam Foudy	30	1	2	2
3	Matthew Highmore	Mason Morelli	Rutger McGroarty	20	1	2	2
4		Dylan Gambrell		10	1	2	2

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

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

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Gustav Lindstrom	60	1	2	2
2	Kaedan Korczak	William Lagesson	40	1	2	2

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

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Gustav Lindstrom	60	1	2	2
2	Kaedan Korczak	William Lagesson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2	Jake Bean	Gustav Lindstrom	60	1	2	2
2	Alex Limoges	40	1	2	2	Kaedan Korczak	William Lagesson	40	1	2	2

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jake Bean	Gustav Lindstrom	60	1	2	2
2	Kaedan Korczak	William Lagesson	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Limoges		Christian Fischer	Jake Bean	Gustav Lindstrom

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Limoges		Christian Fischer	Jake Bean	Gustav Lindstrom

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mason Morelli, Matthew Highmore, Rutger McGroarty	Mason Morelli, Matthew Highmore	Rutger McGroarty

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Pierre-Olivier Joseph, Logan Stanley, Kaedan Korczak	Pierre-Olivier Joseph	Logan Stanley, Kaedan Korczak

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

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

Custom OT Lines Forwards
, Alex Limoges, Christian Fischer, Brendan Gaunce, Alex Steeves, Mason Morelli, Mason Morelli, Liam Foudy, Matthew Highmore, Rutger McGroarty, Dylan Gambrell

Custom OT Lines Defensemen
Jake Bean, Gustav Lindstrom, Kaedan Korczak, William Lagesson, Pierre-Olivier Joseph

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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`)
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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
60	91	W3	255	471	726	2299	1848	537	402	1455	0	6

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
60	35	13	7	2	2	1	255	149

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	17	5	3	2	2	0	120	68

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	18	8	4	0	0	1	135	81

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
195	47	24.10%	171	31	81.87%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
784	745	740	46	93	92	61	11

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1300	2263	57.45%	1125	2003	56.17%	552	965	57.20%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1624	1166	1245	409	765	406

Last Played Games Show or Hide Column

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2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
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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")
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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 - 2025-10-09	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	5	Wolves	4	W	X		BoxScore
66 - 2025-12-11	486	Senators	3	Monsters	5	W			BoxScore
68 - 2025-12-13	502	Silver Knights	2	Monsters	11	W			BoxScore
71 - 2025-12-16	524	Gulls	2	Monsters	8	W			BoxScore
73 - 2025-12-18	539	Wild	0	Monsters	7	W			BoxScore
75 - 2025-12-20	560	Monsters	4	Gulls	5	L	X	X	BoxScore
77 - 2025-12-22	574	Monsters	0	Reign	2	L			BoxScore
83 - 2025-12-28	602	Sound Tigers	0	Monsters	4	W			BoxScore
84 - 2025-12-29	606	Monsters	1	Senators	3	L			BoxScore
86 - 2025-12-31	627	Devils	3	Monsters	4	W			BoxScore
89 - 2026-01-03	646	Americans	1	Monsters	3	W			BoxScore
90 - 2026-01-04	658	Penguins	2	Monsters	3	W			BoxScore
92 - 2026-01-06	675	Monsters	3	Barracuda	2	W			BoxScore
94 - 2026-01-08	692	Monsters	7	Silver Knights	2	W			BoxScore
96 - 2026-01-10	699	Monsters	6	Eagles	3	W			BoxScore
97 - 2026-01-11	714	Monsters	3	Roadrunners	4	L			BoxScore
99 - 2026-01-13	728	Wranglers	5	Monsters	1	L			BoxScore
101 - 2026-01-15	743	Comets	3	Monsters	2	L			BoxScore
103 - 2026-01-17	760	Monsters	7	Penguins	0	W			BoxScore
106 - 2026-01-20	782	Senators	0	Monsters	2	W			BoxScore
108 - 2026-01-22	797	Stars	4	Monsters	3	L			BoxScore
110 - 2026-01-24	814	Crunch	2	Monsters	3	W	X		BoxScore
112 - 2026-01-26	828	Reign	2	Monsters	4	W			BoxScore
114 - 2026-01-28	840	Phantoms	3	Monsters	4	W	X	X	BoxScore
116 - 2026-01-30	858	Monsters	6	IceHogs	5	W	X		BoxScore
117 - 2026-01-31	868	Monsters	2	Thunderbirds	4	L			BoxScore
120 - 2026-02-03	886	Monsters	4	Devils	2	W			BoxScore
121 - 2026-02-04	894	IceHogs	5	Monsters	3	L			BoxScore
143 - 2026-02-26	918	Monsters	5	Bruins	3	W			BoxScore
145 - 2026-02-28	938	Sound Tigers	1	Monsters	3	W			BoxScore
147 - 2026-03-02	953	Monsters	3	Wolf Pack	1	W			BoxScore
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	57,580	28,936
Attendance PCT	99.28%	99.78%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-19	2983 - 99.44%	80,756$	2,341,923$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,380,913$	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$	1,803,837$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-1,534,363$	45	15,994$	719,730$

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
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	60	35	13	0	7	2	2	1	255	149	106	29	17	5	0	3	2	2	0	120	68	52	31	18	8	0	4	0	0	1	135	81	54	91	255	471	726	0	6	93	92	61	11	2299	784	745	740	46	1848	537	402	1455	195	47	24.10%	171	31	81.87%	3	1300	2263	57.45%	1125	2003	56.17%	552	965	57.20%	1624	1166	1245	409	765	406
Total Regular Season	142	65	49	0	17	6	3	2	550	453	97	70	34	22	0	8	3	2	1	271	220	51	72	31	27	0	9	3	1	1	279	233	46	178	550	1012	1562	1	7	200	186	144	23	5218	1768	1707	1682	86	4577	1301	1065	3465	472	108	22.88%	451	91	79.82%	3	2932	5420	54.10%	2678	4926	54.36%	1292	2373	54.45%	3660	2583	3100	1006	1828	945