LSMH - LIGUE SIMULE DES MORDUS DE HOCKEY

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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`)
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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	Connor Zary	X	X	X		98.00	64	34	92	71	73	86	84	70	74	68	69	65	72	66	68	78	75	68	0
2	Justin Hryckowian	X				99.00	71	42	86	69	72	82	89	66	82	68	65	71	64	66	67	42	75	68	0
3	Ethen Frank (C)	X	X	X		99.00	66	36	91	73	70	82	83	67	54	63	69	62	66	70	71	36	75	67	0
4	Noah Ostlund	X	X			99.00	58	36	92	68	67	84	82	69	70	66	67	63	71	62	64	84	75	66	0
5	Kyle MacLean	X	X			100.00	75	41	88	68	75	76	86	62	80	61	60	64	63	67	69	37	75	65	0
6	Avery Hayes			X		99.00	67	39	71	66	68	87	82	65	62	57	68	59	64	65	67	42	75	64	0
7	Cole Eiserman (R)		X			100.00	64	37	95	67	73	82	63	68	72	69	57	59	66	62	60	84	75	64	0
8	Filip Hallander	X				100.00	56	36	92	66	78	82	62	63	50	64	57	65	62	66	67	64	75	64	0
9	Akil Thomas	X	X	X		100.00	68	38	89	65	73	77	71	59	63	60	58	62	64	66	68	70	75	63	0
10	Carson Meyer (A)			X		100.00	60	39	83	64	69	84	75	63	59	62	61	60	63	69	71	40	75	63	0
11	Liam Foudy	X				100.00	64	37	91	65	75	87	85	63	61	59	61	62	64	66	68	79	75	63	0
12	MacKenzie Entwistle (A)			X		100.00	75	43	73	57	84	74	70	55	52	54	56	61	57	67	69	56	75	61	0
13	Jack St. Ivany				X	99.00	76	41	80	64	86	84	75	59	30	68	53	70	48	67	69	51	75	66	0
14	Jordan Oesterle				X	99.00	67	36	90	66	71	86	82	64	30	70	66	62	54	76	75	23	75	66	0
15	Seamus Casey				X	100.00	60	36	91	68	67	80	73	66	30	68	67	63	55	62	64	74	75	66	0
16	Arber Xhekaj				X	100.00	83	89	59	66	94	82	85	61	30	60	53	62	51	66	65	42	75	65	0
17	Charles-Alexis Legault				X	100.00	77	45	68	62	90	81	78	58	30	60	59	64	50	63	65	56	75	64	0
18	Owen Pickering				X	100.00	77	40	90	62	91	80	87	61	30	60	54	65	49	62	64	82	75	64	0
Scratches
1	Quentin Musty (R)		X			100.00	71	42	76	59	80	79	83	58	55	56	57	54	59	61	63	80	75	60	0
2	Eduard Sale		X			100.00	66	38	92	59	75	79	80	56	55	58	57	54	59	61	63	82	75	59	0
3	Jean-Luc Foudy	X				100.00	59	38	86	57	68	75	82	56	61	59	55	58	54	64	66	64	75	58	0
4	Noel Nordh (R)		X			100.00	71	38	95	56	80	64	82	55	50	54	53	57	52	61	63	66	75	58	0
5	Kevin Korchinski				X	100.00	63	40	77	67	74	82	86	65	30	66	55	57	51	62	64	87	75	62	0
6	Jake Livingstone				X	100.00	75	41	83	57	84	69	81	55	30	56	54	59	46	67	69	37	75	60	0
7	Jack Ahcan				X	100.00	60	37	84	63	64	80	87	58	30	67	55	56	48	69	71	36	75	60	0
8	Aleksi Heimosalmi (R)				X	100.00	62	39	81	58	71	66	80	56	30	57	54	55	46	63	65	73	75	58	0

	TEAM AVERAGE					99.69	68	41	84	64	76	80	80	61	50	62	59	61	58	65	67	60	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	Devin Cooley	98.00	82	86	81	88	81	80	82	81	80	82	81	69	83	51	75	81	0
2	Victor Ostman (R)	100.00	75	79	75	87	74	73	75	74	73	75	74	66	75	55	75	75	0
Scratches
1	Aleksei Kolosov	100.00	75	85	81	76	74	73	75	74	73	75	74	64	71	63	75	74	0
2	Mads Sogaard	100.00	73	78	74	98	72	71	73	72	71	73	72	66	75	73	75	74	0

	TEAM AVERAGE	99.50	76	82	78	87	75	74	76	75	74	76	75	66	76	61	75	76

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
David Bell	72	64	66	61	75	71	77	CAN	49	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	S1	S2	S3
1	Justin Hryckowian	Americans (BUF)	C	6	4	10	14	5	6	11	29	33	13	14	12.12%	4	147	24.54	1	4	5	7	22	1	21	1	1	63.89%	180	0	1.90	1	0	0
2	Ethen Frank	Americans (BUF)	C/LW/RW	6	4	7	11	7	4	4	12	22	9	19	18.18%	1	127	21.19	2	3	5	7	23	0	13	0	0	40.00%	15	0	1.73	1	0	1
3	Connor Zary	Americans (BUF)	C/LW/RW	3	5	3	8	5	0	3	4	17	5	10	29.41%	1	71	23.68	1	2	3	3	12	2	18	0	0	55.84%	77	1	2.25	1	0	1
4	Avery Hayes	Americans (BUF)	RW	6	4	3	7	2	0	12	3	18	1	14	22.22%	0	109	18.32	0	0	0	0	22	0	0	0	0	25.00%	8	0	1.27	0	1	1
5	Jack St. Ivany	Americans (BUF)	D	6	1	5	6	1	4	6	7	6	2	5	16.67%	11	136	22.81	1	2	3	3	23	0	19	0	0	0.00%	0	0	0.88	0	0	0
6	Noah Ostlund	Americans (BUF)	C/LW	6	1	5	6	-5	0	4	16	20	6	24	5.00%	1	119	19.94	0	3	3	7	18	1	11	1	0	47.01%	117	0	1.00	0	1	0
7	Arber Xhekaj	Americans (BUF)	D	6	1	4	5	1	16	13	5	5	1	4	20.00%	6	123	20.52	0	0	0	3	18	0	15	0	0	0.00%	0	0	0.81	0	0	0
8	Liam Foudy	Americans (BUF)	C	6	3	2	5	4	2	3	7	11	5	6	27.27%	0	45	7.51	0	0	0	0	0	0	5	0	0	56.06%	66	0	2.22	0	0	0
9	Seamus Casey	Americans (BUF)	D	6	1	3	4	-3	2	1	10	19	6	16	5.26%	8	143	23.94	1	1	2	10	22	0	20	0	0	0.00%	0	0	0.56	0	0	0
10	Akil Thomas	Americans (BUF)	C/LW/RW	5	2	1	3	-3	4	7	9	8	0	8	25.00%	1	63	12.76	0	0	0	0	0	0	3	1	0	40.00%	5	0	0.94	0	1	0
11	Charles-Alexis Legault	Americans (BUF)	D	6	0	3	3	-2	6	14	5	6	1	3	0.00%	8	82	13.80	0	0	0	0	0	0	9	0	0	0.00%	0	0	0.72	0	0	1
12	Carson Meyer	Americans (BUF)	RW	6	2	1	3	-4	8	7	8	19	5	11	10.53%	0	97	16.32	2	1	3	4	16	0	0	0	0	41.67%	12	0	0.61	0	0	0
13	Jordan Oesterle	Americans (BUF)	D	6	0	3	3	5	2	4	9	10	8	7	0.00%	8	139	23.28	0	0	0	6	19	0	20	0	0	0.00%	0	0	0.43	0	0	0
14	Owen Pickering	Americans (BUF)	D	5	1	2	3	-2	2	5	4	3	0	1	33.33%	4	63	12.75	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.94	0	0	0
15	Kyle MacLean	Americans (BUF)	C/LW	6	2	1	3	-8	6	20	7	13	7	10	15.38%	1	102	17.13	1	0	1	2	11	0	4	0	0	61.90%	42	0	0.58	0	0	0
16	Cole Eiserman	Americans (BUF)	LW	6	0	1	1	-3	0	4	5	6	2	9	0.00%	2	71	12.00	0	0	0	0	0	0	1	0	0	66.67%	6	0	0.28	0	0	0
17	Filip Hallander	Americans (BUF)	C	5	0	1	1	-3	0	1	6	3	2	5	0.00%	0	48	9.78	0	0	0	0	0	0	5	0	0	39.29%	56	0	0.41	0	0	0
18	Kevin Korchinski	Americans (BUF)	D	5	0	0	0	-1	0	3	1	2	0	1	0.00%	1	31	6.30	0	0	0	0	0	0	3	0	0	0.00%	0	0	0.00	0	0	0
19	MacKenzie Entwistle	Americans (BUF)	RW	6	0	0	0	2	4	4	2	1	0	2	0.00%	0	22	3.80	0	0	0	0	0	0	0	0	0	100.00%	1	0	0.00	0	0	0
Team Total or Average				107	31	55	86	-2	66	126	149	222	73	169	13.96%	57	1749	16.35	9	16	25	52	213	4	173	3	1	54.36%	585	1	0.98	3	3	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	PCT	GAA	MP	GA	SA	A	ST	BG
1	Devin Cooley	Americans (BUF)	5	2	3	0.825	5.64	298	28	160	1	5	1
2	Victor Ostman	Americans (BUF)	1	1	0	0.878	4.92	61	5	41	0	1	5
Team Total or Average			6	3	3	0.836	5.50	360	33	201	1	6	6

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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
Akil Thomas	C/LW/RW	27	2000-01-02	No	195 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Aleksei Kolosov	G	25	2002-01-04	No	185 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Aleksi Heimosalmi	D	24	2003-05-08	Yes	181 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Arber Xhekaj	D	26	2001-01-30	No	240 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	1,950,000$	0$	0$	No	Link / NHL Link
Avery Hayes	RW	24	2002-10-10	No	180 Lbs	5 ft10	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Carson Meyer	RW	29	1997-08-18	No	184 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	956,000$	0$	0$	No	Link / NHL Link
Charles-Alexis Legault	D	23	2003-09-05	No	220 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Cole Eiserman	LW	20	2006-08-29	Yes	195 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Connor Zary	C/LW/RW	25	2001-09-25	No	178 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	3,882,000$	0$	0$	No	Link / NHL Link
Devin Cooley	G	30	1997-05-25	No	192 Lbs	6 ft5	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Eduard Sale	LW	22	2005-03-10	No	174 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ethen Frank	C/LW/RW	29	1998-02-05	No	188 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	1,235,000$	0$	0$	No	Link / NHL Link
Filip Hallander	C	27	2000-06-29	No	203 Lbs	6 ft1	No	No	No	4	UFA	Pro & Farm	1,550,000$	0$	0$	No	Link / NHL Link
Jack Ahcan	D	30	1997-05-18	No	180 Lbs	5 ft8	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Jack St. Ivany	D	27	1999-07-22	No	197 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	997,000$	0$	0$	No	Link / NHL Link
Jake Livingstone	D	28	1999-04-16	No	205 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jean-Luc Foudy	C	25	2002-05-13	No	177 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	995,000$	0$	0$	No	Link / NHL Link
Jordan Oesterle	D	35	1992-06-25	No	181 Lbs	6 ft0	No	No	Yes	1	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Justin Hryckowian	C	26	2001-02-23	No	198 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Kevin Korchinski	D	23	2004-06-21	No	185 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Kyle MacLean	C/LW	28	1999-04-29	No	190 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	1,150,000$	0$	0$	No	Link / NHL Link
Liam Foudy	C	27	2000-02-04	No	186 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	957,000$	0$	0$	No	Link / NHL Link
MacKenzie Entwistle	RW	27	1999-07-14	No	205 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Mads Sogaard	G	26	2000-12-13	No	231 Lbs	6 ft7	No	No	No	1	RFA	Pro & Farm	964,600$	0$	0$	No	Link / NHL Link
Noah Ostlund	C/LW	23	2004-03-11	No	180 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Noel Nordh	LW	22	2005-01-25	Yes	196 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Owen Pickering	D	23	2004-01-27	No	206 Lbs	6 ft5	No	No	No	2	ELC	Pro & Farm	1,265,000$	0$	0$	No	Link / NHL Link
Quentin Musty	LW	21	2005-07-06	Yes	200 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Seamus Casey	D	23	2004-01-08	No	181 Lbs	5 ft10	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Victor Ostman	G	26	2000-10-03	Yes	205 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	25.70	194 Lbs	6 ft1	1.93	1,077,553$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ethen Frank	Connor Zary	Avery Hayes	35	1	2	2
2	Noah Ostlund	Justin Hryckowian	Carson Meyer	30	1	2	2
3	Cole Eiserman	Kyle MacLean	Akil Thomas	20	1	2	2
4	Connor Zary	Filip Hallander	MacKenzie Entwistle	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack St. Ivany	Jordan Oesterle	35	1	2	2
2	Seamus Casey	Arber Xhekaj	30	1	2	2
3	Owen Pickering	Charles-Alexis Legault	20	1	2	2
4	Jack St. Ivany	Jordan Oesterle	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ethen Frank	Connor Zary	Avery Hayes	60	1	2	2
2	Noah Ostlund	Justin Hryckowian	Carson Meyer	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack St. Ivany	Jordan Oesterle	60	1	2	2
2	Seamus Casey	Arber Xhekaj	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Connor Zary	Justin Hryckowian	60	1	2	2
2	Ethen Frank	Noah Ostlund	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack St. Ivany	Jordan Oesterle	60	1	2	2
2	Seamus Casey	Arber Xhekaj	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Connor Zary	60	1	2	2	Jack St. Ivany	Jordan Oesterle	60	1	2	2
2	Justin Hryckowian	40	1	2	2	Seamus Casey	Arber Xhekaj	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Connor Zary	Justin Hryckowian	60	1	2	2
2	Ethen Frank	Noah Ostlund	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack St. Ivany	Jordan Oesterle	60	1	2	2
2	Seamus Casey	Arber Xhekaj	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Ethen Frank	Connor Zary	Avery Hayes	Jack St. Ivany	Jordan Oesterle

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ethen Frank	Connor Zary	Avery Hayes	Jack St. Ivany	Jordan Oesterle

Extra Forwards
Normal	PowerPlay	Penalty Kill
Liam Foudy, Kyle MacLean, Filip Hallander	Liam Foudy, Kyle MacLean	Filip Hallander

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Owen Pickering, Charles-Alexis Legault, Seamus Casey	Owen Pickering	Charles-Alexis Legault, Seamus Casey

Penalty Shots
Connor Zary, Justin Hryckowian, Ethen Frank, Noah Ostlund, Kyle MacLean

Goalie
#1 : Devin Cooley, #2 : Victor Ostman

Custom OT Lines Forwards
Connor Zary, Justin Hryckowian, Ethen Frank, Noah Ostlund, Kyle MacLean, Filip Hallander, Filip Hallander, Cole Eiserman, Avery Hayes, Liam Foudy, Carson Meyer

Custom OT Lines Defensemen
Jack St. Ivany, Jordan Oesterle, Seamus Casey, Arber Xhekaj, Owen Pickering

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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
6	6	L1	31	55	86	222	201	57	66	126	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	3	1	0	0	0	31	33

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	1	0	0	0	20	22

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	11	11

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	3	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
28	9	32.14%	30	11	63.33%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
74	90	57	1	11	12	7	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
138	239	57.74%	117	215	54.42%	63	128	49.22%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
153	109	128	42	79	41

Last Played Games Show or Hide Column

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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
2 - 2026-09-19	9	Rocket	5	Americans	2	L		BoxScore
4 - 2026-09-21	29	Marlies	5	Americans	6	W		BoxScore
5 - 2026-09-22	37	Americans	4	Senators	3	W		BoxScore
7 - 2026-09-24	49	Americans	7	Checkers	8	L		BoxScore
10 - 2026-09-27	69	Monsters	5	Americans	6	W	X	BoxScore
12 - 2026-09-29	89	Marlies	7	Americans	6	L		BoxScore
14 - 2026-10-01	98	Americans	-	Wolves	-
15 - 2026-10-02	111	Americans	-	Griffins	-
17 - 2026-10-04	124	Griffins	-	Americans	-
19 - 2026-10-06	133	Americans	-	Bruins	-
21 - 2026-10-08	153	Rocket	-	Americans	-
23 - 2026-10-10	166	Americans	-	Rocket	-
25 - 2026-10-12	182	Americans	-	Senators	-
26 - 2026-10-13	190	Senators	-	Americans	-
28 - 2026-10-15	208	Phantoms	-	Americans	-
31 - 2026-10-18	224	Americans	-	Islanders	-
32 - 2026-10-19	237	Eagles	-	Americans	-
35 - 2026-10-22	251	Americans	-	Griffins	-
37 - 2026-10-24	265	Moose	-	Americans	-
39 - 2026-10-26	286	Bruins	-	Americans	-
41 - 2026-10-28	301	Americans	-	Wild	-
42 - 2026-10-29	312	Gulls	-	Americans	-
44 - 2026-10-31	324	Americans	-	Griffins	-
46 - 2026-11-02	338	Marlies	-	Americans	-
49 - 2026-11-05	356	Americans	-	Admirals	-
50 - 2026-11-06	370	Bruins	-	Americans	-
52 - 2026-11-08	381	Americans	-	Bruins	-
54 - 2026-11-10	396	Penguins	-	Americans	-
56 - 2026-11-12	408	Americans	-	Penguins	-
57 - 2026-11-13	421	Americans	-	Wolves	-
59 - 2026-11-15	433	Islanders	-	Americans	-
61 - 2026-11-17	448	Americans	-	Stars	-
63 - 2026-11-19	461	Americans	-	Islanders	-
65 - 2026-11-21	471	Checkers	-	Americans	-
67 - 2026-11-23	490	Thunderbirds	-	Americans	-
70 - 2026-11-26	509	Firebirds	-	Americans	-
72 - 2026-11-28	524	Americans	-	IceHogs	-
74 - 2026-11-30	538	IceHogs	-	Americans	-
75 - 2026-12-01	545	Americans	-	Condors	-
78 - 2026-12-04	564	Roadrunners	-	Americans	-
79 - 2026-12-05	575	Americans	-	Thunderbirds	-
81 - 2026-12-07	589	Stars	-	Americans	-
83 - 2026-12-09	605	Americans	-	Roadrunners	-
85 - 2026-12-11	617	Americans	-	Phantoms	-
87 - 2026-12-13	631	Phantoms	-	Americans	-
89 - 2026-12-15	646	Heat	-	Americans	-
91 - 2026-12-17	662	Americans	-	Barracuda	-
92 - 2026-12-18	673	Americans	-	Heat	-
94 - 2026-12-20	682	Americans	-	Thunderbirds	-
95 - 2026-12-21	695	Senators	-	Americans	-
97 - 2026-12-23	711	Condors	-	Americans	-
100 - 2026-12-26	730	Americans	-	Moose	-
102 - 2026-12-28	743	Firebirds	-	Americans	-
104 - 2026-12-30	762	Penguins	-	Americans	-
105 - 2026-12-31	771	Americans	-	Eagles	-
107 - 2027-01-02	787	Comets	-	Americans	-
110 - 2027-01-05	802	Americans	-	Gulls	-
112 - 2027-01-07	816	Rocket	-	Americans	-
114 - 2027-01-09	830	Americans	-	Monsters	-
116 - 2027-01-11	839	Americans	-	Rocket	-
117 - 2027-01-12	852	Americans	-	Checkers	-
119 - 2027-01-14	863	Monsters	-	Americans	-
121 - 2027-01-16	877	Americans	-	Senators	-
122 - 2027-01-17	887	Moose	-	Americans	-
125 - 2027-01-20	905	Admirals	-	Americans	-
128 - 2027-01-23	925	Americans	-	Bruins	-
130 - 2027-01-25	937	Checkers	-	Americans	-
133 - 2027-01-28	956	Canucks	-	Americans	-
134 - 2027-01-29	965	Americans	-	Comets	-
137 - 2027-02-01	986	Americans	-	Firebirds	-
138 - 2027-02-02	995	Wild	-	Americans	-
140 - 2027-02-04	1009	Americans	-	Silver Knights	-
142 - 2027-02-06	1023	Heat	-	Americans	-
145 - 2027-02-09	1041	Americans	-	Firebirds	-
146 - 2027-02-10	1048	Americans	-	Comets	-
148 - 2027-02-12	1058	Silver Knights	-	Americans	-
150 - 2027-02-14	1077	Wolves	-	Americans	-
152 - 2027-02-16	1089	Americans	-	Canucks	-
155 - 2027-02-19	1103	Griffins	-	Americans	-
157 - 2027-02-21	1123	Barracuda	-	Americans	-
158 - 2027-02-22	1124	Americans	-	Marlies	-
160 - 2027-02-24	1137	Americans	-	Checkers	-
162 - 2027-02-26	1150	Americans	-	Marlies	-
165 - 2027-03-01	1173	Checkers	-	Americans	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	30
Attendance	6,000	3,000
Attendance PCT	75.00%	75.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
37	2250 - 75.00%	121,875$	487,500$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
181,026$	1,616,330$	1,616,330$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	109,170$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
4,631,250$	155	15,667$	2,428,385$

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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
2	78	41	25	0	2	2	4	4	248	203	45	39	21	13	0	1	0	2	2	128	103	25	39	20	12	0	1	2	2	2	120	100	20	100	248	440	688	3	2	0	84	84	74	2441	0	806	812	793	2215	643	320	1542	141	33	23.40%	148	16	89.19%	0	1364	2627	51.92%	1336	2501	53.42%	653	1228	53.18%	1849	1265	1821	583	1055	525
2	78	35	29	0	1	9	4	0	240	227	13	39	19	16	0	1	1	2	0	126	107	19	39	16	13	0	0	8	2	0	114	120	-6	89	240	431	671	3	2	0	74	77	84	2385	0	748	782	827	2352	641	425	1584	159	32	20.13%	195	32	83.59%	2	1403	2581	54.36%	1346	2619	51.39%	643	1228	52.36%	1872	1284	1814	577	1042	527
3	82	31	33	0	5	8	3	2	266	268	-2	41	17	13	0	5	3	2	1	146	127	19	41	14	20	0	0	5	1	1	120	141	-21	88	266	460	726	1	0	0	102	85	71	2665	0	858	865	904	2889	829	452	1574	181	38	20.99%	190	32	83.16%	3	1427	2690	53.05%	1541	3002	51.33%	709	1355	52.32%	1839	1263	2066	599	1060	518
4	82	11	61	0	3	6	1	0	177	431	-254	41	8	28	0	1	4	0	0	98	202	-104	41	3	33	0	2	2	1	0	79	229	-150	36	177	295	472	1	0	0	70	49	54	2189	0	660	758	755	3885	1047	230	1490	142	24	16.90%	105	31	70.48%	0	772	2325	33.20%	965	3080	31.33%	426	1356	31.42%	1523	1042	2442	591	981	432
2020	82	25	43	0	5	4	5	0	255	291	-36	41	15	18	0	3	4	1	0	141	153	-12	41	10	25	0	2	0	4	0	114	138	-24	74	255	453	708	2	3	0	95	83	67	2595	0	871	824	874	3006	840	660	2021	239	50	20.92%	291	56	80.76%	2	1357	2871	47.27%	1396	3098	45.06%	621	1393	44.58%	1884	1280	2008	608	1071	525
2020	82	32	31	0	5	8	4	2	277	269	8	41	16	13	0	3	6	3	0	146	137	9	41	16	18	0	2	2	1	2	131	132	-1	92	277	501	778	0	0	0	108	95	65	2726	0	903	888	902	2635	709	611	1910	260	65	25.00%	249	52	79.12%	2	1537	2911	52.80%	1477	2828	52.23%	750	1330	56.39%	2035	1405	1858	605	1080	550
2021	82	39	29	0	0	6	4	4	286	262	24	41	22	11	0	0	3	2	3	151	129	22	41	17	18	0	0	3	2	1	135	133	2	96	286	529	815	1	4	0	104	93	85	2797	0	885	942	934	2445	707	575	1931	318	62	19.50%	212	39	81.60%	2	1541	3015	51.11%	1356	2701	50.20%	639	1372	46.57%	2040	1415	1859	603	1070	550
2021	82	22	41	0	8	6	2	3	274	317	-43	41	12	19	0	5	2	1	2	143	157	-14	41	10	22	0	3	4	1	1	131	160	-29	73	274	479	753	2	0	0	96	86	82	2831	0	924	938	934	2725	846	787	2094	248	45	18.15%	340	87	74.41%	3	1459	2989	48.81%	1501	2921	51.39%	678	1352	50.15%	1916	1296	1985	626	1076	528
2022	82	34	33	0	3	5	3	4	297	293	4	41	16	19	0	2	1	2	1	142	142	0	41	18	14	0	1	4	1	3	155	151	4	89	297	551	848	1	1	0	100	106	85	2916	0	933	951	1003	2672	796	482	1871	290	77	26.55%	199	53	73.37%	1	1428	2978	47.95%	1376	2805	49.06%	651	1368	47.59%	2022	1417	1891	591	1056	537
2022	82	34	35	0	2	6	2	3	271	285	-14	41	19	16	0	1	2	1	2	135	134	1	41	15	19	0	1	4	1	1	136	151	-15	85	271	483	754	2	0	0	101	94	72	2833	0	967	906	931	2794	789	754	2011	278	55	19.78%	311	64	79.42%	6	1586	3011	52.67%	1573	3064	51.34%	694	1353	51.29%	1934	1324	1971	620	1064	525
2023	82	45	26	0	4	5	1	1	398	298	100	41	26	10	0	2	3	0	0	208	145	63	41	19	16	0	2	2	1	1	190	153	37	106	398	728	1126	2	1	0	150	115	128	3535	0	1122	1148	1243	3086	842	650	1848	324	76	23.46%	285	68	76.14%	3	1894	3364	56.30%	1703	3141	54.22%	798	1492	53.49%	2067	1465	1838	583	1042	532
2023	82	23	44	0	6	6	3	0	355	483	-128	41	13	18	0	3	4	3	0	160	233	-73	41	10	26	0	3	2	0	0	195	250	-55	70	355	589	944	1	1	0	142	111	93	3195	0	1072	1045	1050	4392	1233	541	1936	248	57	22.98%	246	78	68.29%	3	1183	2819	41.97%	1433	3574	40.10%	627	1578	39.73%	1707	1199	2275	586	971	448
2024	82	33	41	0	1	4	0	3	318	383	-65	41	18	19	0	1	1	0	2	178	199	-21	41	15	22	0	0	3	0	1	140	184	-44	75	318	578	896	6	1	0	122	100	95	3310	0	1109	1055	1127	3695	1088	760	2234	331	71	21.45%	323	76	76.47%	3	1446	3233	44.73%	1528	3404	44.89%	652	1472	44.29%	1828	1249	2090	604	1025	500
2025	82	39	25	0	4	11	0	3	300	281	19	41	20	13	0	1	6	0	1	149	132	17	41	19	12	0	3	5	0	2	151	149	2	100	300	543	843	1	3	0	125	111	60	2997	0	996	1007	962	2824	830	644	1998	348	92	26.44%	289	64	77.85%	1	1649	3233	51.01%	1558	3033	51.37%	746	1439	51.84%	2007	1383	1878	605	1073	547
2026	6	2	3	0	1	0	0	0	31	33	-2	4	1	2	0	1	0	0	0	20	22	-2	2	1	1	0	0	0	0	0	11	11	0	6	31	55	86	0	0	11	12	7	1	222	74	90	57	1	201	57	66	126	28	9	32.14%	30	11	63.33%	0	138	239	57.74%	117	215	54.42%	63	128	49.22%	153	109	128	42	79	41
Total Regular Season	1146	446	499	0	50	86	36	29	3993	4324	-331	574	243	228	0	30	40	19	14	2071	2122	-51	572	203	271	0	20	46	17	15	1922	2202	-280	1179	3993	7115	11108	26	18	11	1485	1296	1116	39637	74	12944	12978	13240	41816	11897	7957	26170	3535	786	22.23%	3413	759	77.76%	31	20184	40886	49.37%	20206	41986	48.13%	9350	19444	48.09%	26682	18405	27933	8428	14751	7294
Playoff
1	20	11	9	0	0	0	0	0	65	56	9	9	6	3	0	0	0	0	0	32	23	9	11	5	6	0	0	0	0	0	33	33	0	22	65	119	184	1	0	0	26	25	12	562	0	173	197	180	567	196	173	406	107	21	19.63%	66	13	80.30%	1	325	690	47.10%	293	661	44.33%	148	340	43.53%	500	338	462	153	269	140
2	5	1	4	0	0	0	0	0	18	25	-7	3	1	2	0	0	0	0	0	11	12	-1	2	0	2	0	0	0	0	0	7	13	-6	2	18	32	50	1	0	0	5	6	7	183	0	60	58	53	209	90	19	115	10	0	0.00%	7	2	71.43%	0	64	189	33.86%	73	212	34.43%	32	86	37.21%	120	83	141	39	69	33
2020	21	16	5	0	0	0	0	0	80	57	23	10	9	1	0	0	0	0	0	43	28	15	11	7	4	0	0	0	0	0	37	29	8	32	80	151	231	1	1	0	31	19	27	745	0	234	244	238	678	223	133	485	70	15	21.43%	54	11	79.63%	1	419	824	50.85%	386	735	52.52%	190	375	50.67%	560	393	481	159	293	152
2021	13	7	6	0	0	0	0	0	50	45	5	6	4	2	0	0	0	0	0	31	22	9	7	3	4	0	0	0	0	0	19	23	-4	14	50	93	143	0	0	0	13	17	19	453	0	135	162	153	453	120	94	310	25	4	16.00%	43	9	79.07%	1	232	459	50.54%	260	479	54.28%	114	229	49.78%	311	217	308	96	171	85
2022	7	3	4	0	0	0	0	0	27	29	-2	4	1	3	0	0	0	0	0	15	19	-4	3	2	1	0	0	0	0	0	12	10	2	6	27	49	76	0	0	0	7	12	8	221	0	62	81	72	250	60	36	137	17	4	23.53%	12	1	91.67%	0	100	225	44.44%	123	255	48.24%	52	123	42.28%	168	117	173	53	96	47
2023	20	16	4	0	0	0	0	0	88	56	32	11	8	3	0	0	0	0	0	46	33	13	9	8	1	0	0	0	0	0	42	23	19	32	88	152	240	0	1	0	28	36	21	884	0	279	270	328	698	220	125	446	99	17	17.17%	56	16	71.43%	0	490	839	58.40%	382	723	52.84%	190	344	55.23%	504	360	448	145	254	129
2025	9	4	5	0	0	0	0	0	37	31	6	5	3	2	0	0	0	0	0	21	17	4	4	1	3	0	0	0	0	0	16	14	2	8	37	66	103	0	0	0	12	14	11	323	0	88	116	113	330	73	62	248	35	7	20.00%	28	8	71.43%	0	177	357	49.58%	146	340	42.94%	85	164	51.83%	226	157	220	69	121	60
Total Playoff	95	58	37	0	0	0	0	0	365	299	66	48	32	16	0	0	0	0	0	199	154	45	47	26	21	0	0	0	0	0	166	145	21	116	365	662	1027	3	2	0	122	129	105	3371	0	1031	1128	1137	3185	982	642	2147	363	68	18.73%	266	60	77.44%	3	1807	3583	50.43%	1663	3405	48.84%	811	1661	48.83%	2392	1668	2236	718	1276	649