NHLS - National Hockey League Simulated

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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	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	Reid Schaefer		X			100.00	83	54	71	64	95	80	78	63	57	60	66	68	65	63	64	77	75	65	0
2	Vinni Lettieri	X		X		100.00	75	37	86	67	66	90	84	63	68	65	64	62	66	71	73	34	75	65	0
3	Brian Pinho			X		100.00	66	37	94	64	75	90	86	63	65	61	62	64	63	71	73	38	75	64	0
4	Carson Meyer			X		100.00	60	39	83	64	69	84	75	63	59	62	61	60	63	69	71	40	75	62	0
5	Jacob Gaucher	X		X		100.00	69	39	80	59	80	78	88	57	62	56	58	61	59	65	67	42	75	61	0
6	Kyle Criscuolo	X				100.00	55	37	88	61	64	81	85	58	62	59	60	56	61	74	76	23	75	61	0
7	Oskar Olausson	X	X	X		100.00	63	37	88	59	73	78	84	58	53	57	56	54	55	64	66	78	75	60	0
8	Karsen Dorwart (R)		X			100.00	69	37	92	58	76	77	86	57	54	56	55	59	58	64	66	43	75	60	0
9	Nico Myatovic		X			100.00	68	39	89	59	77	72	85	58	53	55	56	57	54	62	64	77	75	60	0
10	Kai Schwindt (R)		X			100.00	83	40	95	55	92	67	65	54	56	53	52	59	51	63	65	45	75	59	0
11	Jonathan Gruden	X	X			100.00	60	41	71	59	69	73	84	58	61	56	57	55	59	66	68	60	75	59	0
12	Jonathan Aspirot				X	100.00	68	43	75	66	77	82	84	63	30	66	57	65	50	67	69	37	75	63	0
13	Lucas Carlsson				X	100.00	62	38	81	63	72	88	82	62	30	66	60	68	51	69	71	49	75	63	0
14	Gustav Olofsson				X	100.00	71	38	83	63	80	70	79	58	30	64	54	59	47	72	74	45	75	62	0
15	Cavan Fitzgerald				X	100.00	66	41	74	58	75	70	78	57	30	56	55	59	46	70	72	35	75	60	0
16	Daniel Laatsch (R)				X	100.00	79	39	94	57	88	65	62	55	30	59	50	58	45	64	66	48	75	60	0
17	Jimmy Schuldt				X	100.00	69	39	79	57	78	80	87	56	30	55	53	60	47	71	73	34	75	60	0
18	Brayden Hislop (R)				X	100.00	65	37	95	60	74	66	64	57	30	60	50	56	45	63	65	46	75	59	0
Scratches
1	Aaron Huglen (R)			X		100.00	64	38	87	58	73	81	78	57	53	56	55	54	58	65	67	59	75	59	0
2	Anri Ravinskis (R)		X			100.00	69	38	90	56	78	75	71	54	50	51	53	55	52	63	65	43	75	58	0
3	Max McCue (R)	X				100.00	65	47	53	58	74	64	73	55	57	56	54	59	55	63	65	49	75	58	0
4	Jamieson Rees	X				100.00	58	38	82	56	67	71	79	54	58	57	55	53	56	65	67	71	75	58	0
5	Sawyer Boulton (R)			X		100.00	77	71	52	57	76	60	65	54	50	52	52	55	58	62	64	43	75	57	0
6	Mikael Diotte (R)				X	100.00	75	41	75	57	84	63	80	56	30	55	51	58	45	63	65	44	75	59	0

	TEAM AVERAGE					100.00	68	41	82	60	76	75	78	58	48	58	56	59	55	66	68	48	75	61

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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	Colten Ellis	100.00	79	82	78	76	78	77	79	78	77	79	78	66	75	60	75	66	0
2	Jiri Patera	100.00	74	78	74	86	73	72	74	73	72	74	73	67	77	54	75	64	0
Scratches
1	Kyle Keyser	100.00	74	73	69	76	73	72	74	73	72	74	73	67	77	37	75	64	0
2	Will Cranley (R)	100.00	64	73	69	83	63	62	64	63	62	64	63	64	71	48	75	58	0

	TEAM AVERAGE	100.00	73	77	73	80	72	71	73	72	71	73	72	66	75	50	75	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John McCarthy	73	65	73	63	60	56	87	USA	39	1	1,000,000$

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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	HT	P/20	FL	S1	S2	S3
1	Reid Schaefer	Americans (BUF)	LW	12	5	5	10	2	21	5	44	14	55	11	33	9.09%	2	263	21.93	1	2	3	10	30	0	0	0	2	30	0	0	50.00%	20	0	0.76	1	0	1	0
2	Vinni Lettieri	Americans (BUF)	C/RW	12	5	5	10	1	10	0	21	44	46	8	26	10.87%	1	302	25.18	0	2	2	7	30	1	0	1	1	34	2	0	52.97%	387	0	0.66	0	1	0	0
3	Brian Pinho	Americans (BUF)	RW	12	3	5	8	2	0	0	2	26	38	12	24	7.89%	5	250	20.85	1	0	1	7	30	0	0	0	1	14	1	0	57.14%	35	0	0.64	0	1	0	0
4	Carson Meyer	Americans (BUF)	RW	12	7	1	8	0	0	0	13	35	33	13	34	21.21%	5	242	20.23	1	1	2	8	25	0	0	0	0	14	1	1	64.71%	17	1	0.66	0	2	0	0
5	Jonathan Aspirot	Americans (BUF)	D	12	1	6	7	5	6	0	29	18	20	3	9	5.00%	14	271	22.59	1	0	1	10	29	0	0	0	0	31	0	0	0.00%	0	0	0.52	0	0	0	0
6	Lucas Carlsson	Americans (BUF)	D	12	1	6	7	5	2	0	23	26	24	5	12	4.17%	18	302	25.19	0	1	1	13	29	0	0	0	0	31	0	0	0.00%	0	0	0.46	0	0	2	0
7	Jacob Gaucher	Americans (BUF)	C/RW	12	3	3	6	0	2	0	30	29	27	9	23	11.11%	3	231	19.32	1	1	2	4	25	0	0	0	0	3	0	0	42.91%	282	0	0.52	0	0	0	2
8	Cavan Fitzgerald	Americans (BUF)	D	12	1	4	5	-5	6	0	23	8	8	2	7	12.50%	9	175	14.64	0	0	0	0	0	0	0	0	0	9	0	0	0.00%	0	0	0.57	0	1	0	0
9	Oskar Olausson	Americans (BUF)	C/LW/RW	12	0	5	5	-4	4	0	9	15	13	1	13	0.00%	0	176	14.73	0	0	0	0	0	0	1	1	0	18	0	0	40.00%	25	0	0.57	0	0	0	0
10	Gustav Olofsson	Americans (BUF)	D	12	0	4	4	-4	6	0	18	10	11	1	9	0.00%	15	245	20.50	0	1	1	4	26	0	1	1	0	25	0	0	0.00%	0	0	0.33	0	0	0	0
11	Daniel Laatsch	Americans (BUF)	D	12	1	3	4	-3	8	0	21	13	4	2	2	25.00%	4	165	13.78	0	0	0	1	0	0	0	0	0	0	0	0	0.00%	0	0	0.48	0	0	0	2
12	Karsen Dorwart	Americans (BUF)	LW	12	0	4	4	0	2	0	12	15	27	5	13	0.00%	5	227	19.00	0	0	0	3	25	0	0	0	0	0	0	0	36.36%	11	0	0.35	0	0	0	0
13	Kyle Criscuolo	Americans (BUF)	C	12	2	1	3	-3	2	0	3	27	23	6	8	8.70%	2	157	13.15	0	0	0	0	0	0	0	0	0	0	0	0	49.72%	179	0	0.38	0	0	0	0
14	Nico Myatovic	Americans (BUF)	LW	12	2	1	3	-4	4	0	14	6	20	6	10	10.00%	2	189	15.78	0	0	0	0	0	0	0	0	0	0	0	0	75.00%	8	0	0.32	0	0	1	0
15	Jimmy Schuldt	Americans (BUF)	D	12	0	2	2	-4	6	0	25	7	12	2	7	0.00%	16	246	20.52	0	1	1	2	26	0	0	0	0	25	0	0	0.00%	0	0	0.16	0	0	0	0
16	Brayden Hislop	Americans (BUF)	D	5	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.30	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.00	0	0	0	0
17	Kai Schwindt	Americans (BUF)	LW	12	0	0	0	-3	0	0	1	1	2	0	0	0.00%	0	20	1.68	0	0	0	1	0	0	0	0	0	9	0	0	60.00%	5	0	0.00	0	0	0	0
18	Mikael Diotte	Americans (BUF)	D	7	0	0	0	0	0	0	8	0	1	0	0	0.00%	0	32	4.68	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.00	0	0	0	0
19	Jonathan Gruden	Americans (BUF)	C/LW	12	0	0	0	-2	0	0	3	1	3	2	4	0.00%	0	34	2.87	0	0	0	0	0	0	0	0	0	0	0	0	54.00%	50	0	0.00	0	0	0	0
Team Total or Average				216	31	55	86	-17	79	5	299	295	367	88	234	8.45%	101	3537	16.38	5	9	14	70	282	1	2	3	4	251	4	1	49.66%	1019	1	0.49	1	5	4	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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	ST	BG
1	Colten Ellis	Americans (BUF)	12	4	6	2	0.887	3.10	696	2	36	320	12	0
2	Jiri Patera	Americans (BUF)	1	0	0	0	0.955	2.61	23	0	1	22	0	12
Team Total or Average			13	4	6	2	0.892	3.09	719	2	37	342	12	12

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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
Aaron Huglen	RW	26	2001-03-06	Yes	178 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Anri Ravinskis	LW	24	2003-01-02	Yes	186 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Brayden Hislop	D	24	2003-09-26	Yes	181 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Brian Pinho	RW	32	1995-05-11	No	190 Lbs	6 ft1	No	No	Yes	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Carson Meyer	RW	30	1997-08-18	No	184 Lbs	5 ft11	No	No	Yes	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Cavan Fitzgerald	D	31	1996-08-23	No	190 Lbs	6 ft1	No	No	Yes	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Colten Ellis	G	27	2000-10-05	No	191 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Daniel Laatsch	D	25	2002-02-13	Yes	191 Lbs	6 ft5	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Gustav Olofsson	D	33	1994-12-01	No	199 Lbs	6 ft2	No	No	Yes	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Jacob Gaucher	C/RW	26	2001-03-09	No	185 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jamieson Rees	C	26	2001-02-26	No	172 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jimmy Schuldt	D	32	1995-05-11	No	203 Lbs	6 ft1	No	No	Yes	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Jiri Patera	G	28	1999-02-24	No	212 Lbs	6 ft3	No	No	Yes	1	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jonathan Aspirot	D	28	1999-05-16	No	212 Lbs	6 ft0	No	No	Yes	1	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jonathan Gruden	C/LW	27	2000-05-04	No	172 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Kai Schwindt	LW	24	2003-12-07	Yes	197 Lbs	6 ft6	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Karsen Dorwart	LW	25	2002-09-17	Yes	194 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Kyle Criscuolo	C	35	1992-05-05	No	175 Lbs	5 ft9	No	No	Yes	1	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Kyle Keyser	G	28	1999-03-08	No	178 Lbs	6 ft2	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Lucas Carlsson	D	30	1997-07-05	No	190 Lbs	6 ft0	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Max McCue	C	24	2003-02-10	Yes	182 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Mikael Diotte	D	24	2003-04-10	Yes	205 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Nico Myatovic	LW	23	2004-12-01	No	182 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Oskar Olausson	C/LW/RW	25	2002-11-10	No	180 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Reid Schaefer	LW	24	2003-09-21	No	226 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Sawyer Boulton	RW	23	2004-07-12	Yes	209 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Vinni Lettieri	C/RW	32	1995-02-06	No	184 Lbs	5 ft10	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Will Cranley	G	25	2002-02-26	Yes	183 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	27.18	190 Lbs	6 ft1	1.82	954,464$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Reid Schaefer	Vinni Lettieri	Brian Pinho	40	1	2	2
2	Karsen Dorwart	Jacob Gaucher	Carson Meyer	30	1	2	2
3	Oskar Olausson	Kyle Criscuolo	Nico Myatovic	20	1	2	2
4	Nico Myatovic	Jonathan Gruden	Vinni Lettieri	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lucas Carlsson	Jonathan Aspirot	40	1	2	2
2	Gustav Olofsson	Jimmy Schuldt	30	1	2	2
3	Daniel Laatsch	Cavan Fitzgerald	20	1	2	2
4	Jonathan Aspirot	Lucas Carlsson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Reid Schaefer	Vinni Lettieri	Brian Pinho	60	1	2	2
2	Karsen Dorwart	Jacob Gaucher	Carson Meyer	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lucas Carlsson	Jonathan Aspirot	60	1	2	2
2	Gustav Olofsson	Jimmy Schuldt	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vinni Lettieri	Reid Schaefer	60	1	2	2
2	Brian Pinho	Carson Meyer	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lucas Carlsson	Jonathan Aspirot	60	1	2	2
2	Gustav Olofsson	Jimmy Schuldt	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Vinni Lettieri	60	1	2	2	Lucas Carlsson	Jonathan Aspirot	60	1	2	2
2	Reid Schaefer	40	1	2	2	Gustav Olofsson	Jimmy Schuldt	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vinni Lettieri	Reid Schaefer	60	1	2	2
2	Brian Pinho	Carson Meyer	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lucas Carlsson	Jonathan Aspirot	60	1	2	2
2	Gustav Olofsson	Jimmy Schuldt	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Reid Schaefer	Vinni Lettieri	Brian Pinho	Lucas Carlsson	Jonathan Aspirot

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Reid Schaefer	Vinni Lettieri	Brian Pinho	Lucas Carlsson	Jonathan Aspirot

Extra Forwards
Normal	PowerPlay	Penalty Kill
Kai Schwindt, Kyle Criscuolo, Oskar Olausson	Kai Schwindt, Kyle Criscuolo	Oskar Olausson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Daniel Laatsch, Cavan Fitzgerald, Lucas Carlsson	Daniel Laatsch	Cavan Fitzgerald, Jonathan Aspirot

Penalty Shots
Vinni Lettieri, Reid Schaefer, Brian Pinho, Carson Meyer, Jacob Gaucher

Goalie
#1 : Colten Ellis, #2 : Jiri Patera

Custom OT Lines Forwards
Vinni Lettieri, Reid Schaefer, Brian Pinho, Carson Meyer, Jacob Gaucher, Kyle Criscuolo, Kyle Criscuolo, Oskar Olausson, Karsen Dorwart, Nico Myatovic, Kai Schwindt

Custom OT Lines Defensemen
Lucas Carlsson, Jonathan Aspirot, Gustav Olofsson, Jimmy Schuldt, Daniel Laatsch

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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
12	10	L2	31	55	86	367	342	101	81	299	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	4	6	0	2	0	0	31	37

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	2	0	1	0	0	17	17

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	1	4	0	1	0	0	14	20

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	5	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
30	5	16.67%	37	7	81.08%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
119	135	113	0	11	11	9	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
223	443	50.34%	198	388	51.03%	85	187	45.45%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
288	199	283	85	149	74

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
3 - 2026-10-01	9	Americans	4	Monsters	5	L	X	BoxScore
5 - 2026-10-03	22	IceHogs	3	Americans	1	L		BoxScore
8 - 2026-10-06	49	Wild	6	Americans	2	L		BoxScore
10 - 2026-10-08	57	Stars	2	Americans	4	W		BoxScore
12 - 2026-10-10	74	Roadrunners	3	Americans	2	L	X	BoxScore
14 - 2026-10-12	87	Checkers	1	Americans	4	W		BoxScore
15 - 2026-10-13	92	Americans	1	Rocket	3	L		BoxScore
17 - 2026-10-15	108	Americans	1	Marlies	4	L		BoxScore
19 - 2026-10-17	125	Americans	3	Rocket	1	W		BoxScore
23 - 2026-10-21	152	Phantoms	2	Americans	4	W		BoxScore
26 - 2026-10-24	171	Americans	3	Bears	4	L		BoxScore
29 - 2026-10-27	198	Americans	2	Barracuda	3	L		BoxScore
31 - 2026-10-29	211	Americans	-	Gulls	-
33 - 2026-10-31	221	Americans	-	Reign	-
37 - 2026-11-04	247	Senators	-	Americans	-
39 - 2026-11-06	262	Monsters	-	Americans	-
41 - 2026-11-08	278	Silver Knights	-	Americans	-
44 - 2026-11-11	293	Crunch	-	Americans	-
45 - 2026-11-12	306	Americans	-	IceHogs	-
47 - 2026-11-14	322	Americans	-	Stars	-
50 - 2026-11-17	334	Americans	-	Phantoms	-
52 - 2026-11-19	347	Americans	-	Bears	-
54 - 2026-11-21	361	Americans	-	Checkers	-
55 - 2026-11-22	374	Americans	-	Crunch	-
58 - 2026-11-25	387	Wolf Pack	-	Americans	-
60 - 2026-11-27	413	Penguins	-	Americans	-
64 - 2026-12-01	441	Americans	-	Condors	-
66 - 2026-12-03	454	Americans	-	Wranglers	-
67 - 2026-12-04	462	Americans	-	Canucks	-
69 - 2026-12-06	481	Americans	-	Firebirds	-
73 - 2026-12-10	501	Condors	-	Americans	-
75 - 2026-12-12	518	Gulls	-	Americans	-
77 - 2026-12-14	531	Americans	-	Senators	-
78 - 2026-12-15	537	Wranglers	-	Americans	-
81 - 2026-12-18	560	Rocket	-	Americans	-
83 - 2026-12-20	579	Reign	-	Americans	-
85 - 2026-12-22	591	Americans	-	Penguins	-
89 - 2026-12-26	603	Comets	-	Americans	-
91 - 2026-12-28	620	Griffins	-	Americans	-
93 - 2026-12-30	638	Americans	-	Checkers	-
96 - 2027-01-02	658	Americans	-	Crunch	-
98 - 2027-01-04	674	Moose	-	Americans	-
99 - 2027-01-05	683	Americans	-	Bruins	-
102 - 2027-01-08	704	Americans	-	Monsters	-
103 - 2027-01-09	713	Wolves	-	Americans	-
106 - 2027-01-12	729	Comets	-	Americans	-
108 - 2027-01-14	744	Eagles	-	Americans	-
110 - 2027-01-16	762	Admirals	-	Americans	-
112 - 2027-01-18	776	Rocket	-	Americans	-
114 - 2027-01-20	793	Americans	-	Hammers	-
115 - 2027-01-21	799	Firebirds	-	Americans	-
118 - 2027-01-24	824	Americans	-	Moose	-
121 - 2027-01-27	848	Americans	-	Roadrunners	-
122 - 2027-01-28	859	Americans	-	Silver Knights	-
124 - 2027-01-30	868	Americans	-	Eagles	-
128 - 2027-02-03	887	Hammers	-	Americans	-
138 - 2027-02-13	918	Americans	-	Wolves	-
140 - 2027-02-15	930	Americans	-	Wolf Pack	-
143 - 2027-02-18	952	Wolves	-	Americans	-
145 - 2027-02-20	968	Americans	-	Comets	-
146 - 2027-02-21	978	Americans	-	Griffins	-
149 - 2027-02-24	999	Americans	-	Phantoms	-
151 - 2027-02-26	1015	Senators	-	Americans	-
152 - 2027-02-27	1023	Marlies	-	Americans	-
155 - 2027-03-02	1043	Penguins	-	Americans	-
157 - 2027-03-04	1057	Thunderbirds	-	Americans	-
159 - 2027-03-06	1072	Wolf Pack	-	Americans	-
160 - 2027-03-07	1085	Americans	-	Senators	-
162 - 2027-03-09	1092	Canucks	-	Americans	-
165 - 2027-03-12	1117	Americans	-	Griffins	-
167 - 2027-03-14	1137	Americans	-	Wild	-
168 - 2027-03-15	1140	Barracuda	-	Americans	-
171 - 2027-03-18	1161	Bears	-	Americans	-
173 - 2027-03-20	1174	Checkers	-	Americans	-
174 - 2027-03-21	1187	Americans	-	Hammers	-
176 - 2027-03-23	1196	Americans	-	Bruins	-
178 - 2027-03-25	1212	Marlies	-	Americans	-
181 - 2027-03-28	1243	Americans	-	Thunderbirds	-
183 - 2027-03-30	1255	Americans	-	Admirals	-
185 - 2027-04-01	1268	Bruins	-	Americans	-
187 - 2027-04-03	1283	Americans	-	Marlies	-
189 - 2027-04-05	1298	Crunch	-	Americans	-
191 - 2027-04-07	1312	Bruins	-	Americans	-
194 - 2027-04-10	1333	Griffins	-	Americans	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	50	30
Attendance	15,300	10,200
Attendance PCT	85.00%	85.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
36	4250 - 85.00%	169,575$	1,017,450$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
555,116$	2,672,500$	2,672,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	405,636$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
6,104,700$	165	18,930$	3,123,450$

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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
2020	56	21	23	0	3	1	6	2	196	173	23	28	12	10	0	1	0	4	1	103	85	18	28	9	13	0	2	1	2	1	93	88	5	63	196	347	543	1	0	0	81	53	53	1975	0	667	603	669	1877	558	368	1374	147	36	24.49%	159	30	81.13%	1	1084	2072	52.32%	1058	1982	53.38%	480	942	50.96%	1367	941	1301	414	741	374
2021	82	31	37	0	7	2	3	2	274	279	-5	41	15	17	0	5	1	2	1	139	136	3	41	16	20	0	2	1	1	1	135	143	-8	86	274	500	774	1	2	0	104	93	67	2621	0	893	841	847	2704	777	628	1852	244	47	19.26%	276	54	80.43%	2	1432	2823	50.73%	1487	2971	50.05%	668	1361	49.08%	1925	1315	1964	615	1073	537
2022	82	27	42	0	4	3	1	5	302	340	-38	41	13	23	0	1	0	1	3	153	171	-18	41	14	19	0	3	3	0	2	149	169	-20	72	302	548	850	3	0	0	119	99	79	2866	0	967	930	931	3036	860	709	1830	307	75	24.43%	296	72	75.68%	3	1418	3036	46.71%	1408	3134	44.93%	695	1430	48.60%	1868	1264	2024	624	1074	524
2023	82	27	42	0	4	5	2	2	250	288	-38	41	14	23	0	2	0	2	0	125	145	-20	41	13	19	0	2	5	0	2	125	143	-18	73	250	450	700	3	2	0	84	81	79	2466	0	803	820	808	3060	930	685	1912	264	49	18.56%	272	63	76.84%	3	1238	2659	46.56%	1536	3221	47.69%	621	1311	47.37%	1792	1198	2101	629	1065	512
2024	82	30	32	0	10	1	5	4	243	241	2	41	12	16	0	6	1	3	3	114	117	-3	41	18	16	0	4	0	2	1	129	124	5	95	243	427	670	0	3	0	89	56	83	2306	0	771	718	778	2452	689	587	2051	223	43	19.28%	265	52	80.38%	3	1306	2639	49.49%	1377	2730	50.44%	700	1309	53.48%	1897	1295	2017	621	1075	525
2025	82	27	36	0	5	6	2	6	204	232	-28	41	12	17	0	3	3	2	4	107	113	-6	41	15	19	0	2	3	0	2	97	119	-22	80	204	354	558	2	3	0	74	70	53	2379	0	765	792	798	2402	730	633	1801	263	40	15.21%	273	45	83.52%	1	1278	2649	48.24%	1335	2726	48.97%	624	1251	49.88%	1904	1299	2008	619	1063	526
2026	12	4	6	0	0	2	0	0	31	37	-6	6	3	2	0	0	1	0	0	17	17	0	6	1	4	0	0	1	0	0	14	20	-6	10	31	55	86	0	0	11	11	9	0	367	119	135	113	0	342	101	81	299	30	5	16.67%	37	7	81.08%	1	223	443	50.34%	198	388	51.03%	85	187	45.45%	288	199	283	85	149	74
Total Regular Season	478	167	218	0	33	20	19	21	1500	1590	-90	239	81	108	0	18	6	14	12	758	784	-26	239	86	110	0	15	14	5	9	742	806	-64	479	1500	2681	4181	10	10	11	562	461	414	14980	119	5001	4817	4831	15873	4645	3691	11119	1478	295	19.96%	1578	323	79.53%	14	7979	16321	48.89%	8399	17152	48.97%	3873	7791	49.71%	11044	7515	11701	3610	6242	3074
Playoff
2020	24	16	8	0	0	0	0	0	90	72	18	11	8	3	0	0	0	0	0	40	30	10	13	8	5	0	0	0	0	0	50	42	8	32	90	157	247	0	2	0	36	29	22	887	0	292	299	262	959	264	144	609	67	18	26.87%	70	18	74.29%	1	517	941	54.94%	496	1029	48.20%	196	403	48.64%	564	385	617	180	317	155
2024	7	3	4	0	0	0	0	0	15	17	-2	4	2	2	0	0	0	0	0	8	7	1	3	1	2	0	0	0	0	0	7	10	-3	6	15	26	41	0	0	0	2	7	5	204	0	59	76	56	178	47	53	168	12	1	8.33%	18	5	72.22%	0	136	241	56.43%	114	211	54.03%	63	119	52.94%	173	121	173	52	94	46
Total Playoff	31	19	12	0	0	0	0	0	105	89	16	15	10	5	0	0	0	0	0	48	37	11	16	9	7	0	0	0	0	0	57	52	5	38	105	183	288	0	2	0	38	36	27	1091	0	351	375	318	1137	311	197	777	79	19	24.05%	88	23	73.86%	1	653	1182	55.25%	610	1240	49.19%	259	522	49.62%	738	507	790	233	412	201