LHSDB - Ligue de hockey simulee des debiles barbus

Buffalo Sabres
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

Show or Hide Column

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Sam Lafferty	0	X	X	X		100.00	78	36	86	67	81	78	86	65	75	63	64	69	65	72	74	48	50	66	0
2	Arthur Kaliyev	0		X	X		100.00	65	36	89	66	82	79	72	67	50	62	65	61	68	65	64	75	50	64	0
3	Dalibor Dvorsky	0	X				100.00	64	38	89	66	78	85	71	63	72	60	59	64	62	61	65	88	50	63	0
4	Raphael Lavoie	0	X		X		100.00	77	42	73	63	89	87	83	59	64	58	62	57	63	66	67	72	50	63	0
5	Brandon Biro	0		X			100.00	55	36	88	63	66	78	82	62	67	63	61	62	63	67	69	37	50	62	0
6	Owen Sillinger	0		X			100.00	63	37	76	60	67	82	81	62	69	60	57	63	59	68	70	36	50	62	0
7	Taylor Ward	0			X		100.00	75	41	73	61	82	84	86	56	67	58	60	59	56	67	69	37	50	62	0
8	Ben King	0	X				100.00	74	41	82	59	83	75	83	58	64	57	59	60	56	63	65	60	50	61	0
9	Mathias Laferriere	0			X		100.00	69	39	89	59	78	74	83	58	55	57	54	56	58	65	67	47	50	60	0
10	Nick Swaney	0			X		100.00	56	36	93	59	66	85	69	56	60	57	58	53	56	68	70	41	50	59	0
11	Noah Juulsen	0				X	100.00	86	61	85	65	81	86	76	63	30	62	52	81	48	68	70	66	50	70	0
12	Uvis Balinskis	0				X	100.00	70	40	85	68	74	83	86	64	30	70	60	65	52	69	71	36	50	67	0
13	Sam Malinski	0				X	100.00	65	37	91	68	70	84	87	65	30	70	63	62	54	67	68	37	50	66	0
14	Daemon Hunt	0				X	100.00	67	38	87	63	78	74	83	62	30	61	58	65	49	63	65	66	50	64	0
15	Maxwell Crozier	0				X	100.00	72	43	70	63	83	81	82	62	30	64	58	60	51	65	67	56	50	64	0
Scratches
1	Matt Savoie	0	X				94.97	60	37	86	66	67	82	74	65	73	64	59	60	62	61	63	86	50	62	0
2	Riese Gaber	0			X		100.00	61	36	87	59	61	77	61	58	64	61	56	53	57	66	68	42	50	58	0
3	Matthew Seminoff	0			X		100.00	57	38	89	56	70	68	84	55	57	54	53	58	52	62	64	49	50	57	0
4	Massimo Rizzo	0	X				100.00	56	36	93	59	65	63	68	57	65	58	56	53	57	64	66	48	50	57	0
5	Matt Kiersted	0				X	100.00	67	38	75	63	71	79	83	61	30	64	56	62	49	67	69	37	50	64	0
6	Brandon Scanlin	0				X	100.00	77	40	83	58	91	75	84	56	30	53	55	59	47	66	68	42	50	63	0
7	Guillaume Brisebois	0				X	100.00	65	37	90	58	75	81	70	57	30	56	55	62	49	68	70	55	50	62	0
8	William Villeneuve	0				X	100.00	63	40	75	66	72	70	80	65	30	68	54	57	48	63	65	58	50	62	0
9	Charles-Alexis Legault	0				X	100.00	80	43	72	57	89	68	71	56	30	55	53	59	45	62	64	57	50	61	0
10	Akito Hirose	0				X	100.00	64	37	84	57	68	76	72	58	30	56	55	59	48	66	68	42	50	60	0
11	Mikko Kokkonen	0				X	100.00	66	38	86	58	72	67	81	56	30	57	53	55	46	64	66	63	50	60	0
12	Lleyton Moore	0				X	100.00	55	36	94	56	64	63	68	53	30	55	54	51	46	63	65	44	50	56	0

	TEAM AVERAGE					99.78	67	39	84	62	75	77	78	60	48	60	57	60	54	65	67	53	50	62

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Arturs Silovs	100.00	77	84	80	87	76	75	77	76	75	77	76	64	71	58	50	75	0
2	Jaxson Stauber	100.00	75	82	78	78	74	73	75	74	73	75	74	66	75	55	50	73	0
Scratches

	TEAM AVERAGE	100.00	76	83	79	83	75	74	76	75	74	76	75	65	73	57	50	74

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Don Granato	76	80	81	73	86	80	61	USA	58	4	1,000,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Uvis Balinskis	Americans (Buf)	D	20	2	20	22	21	18	0	40	24	35	8	21	5.71%	15	489	24.45	1	3	4	25	90	0	1	1	0	83	0	0	0.00%	0	0	0	0.90	0	0	0	0	3	1	0
2	Brandon Biro	Americans (Buf)	LW	20	11	10	21	24	6	0	2	9	55	11	32	20.00%	2	406	20.35	3	4	7	11	79	0	0	0	1	6	3	0	55.00%	20	0	1	1.03	0	0	0	0	2	1	0
3	Sam Lafferty	Americans (Buf)	C/LW/RW	20	11	9	20	16	14	0	41	65	96	21	47	11.46%	9	481	24.08	1	2	3	31	81	0	1	1	2	81	2	0	64.75%	505	1	0	0.83	1	3	0	0	4	3	2
4	Arthur Kaliyev	Americans (Buf)	LW/RW	20	6	9	15	12	2	0	7	12	50	10	35	12.00%	2	384	19.21	2	2	4	19	84	1	0	1	6	93	2	1	51.28%	39	0	0	0.78	0	3	0	0	1	0	2
5	Daemon Hunt	Americans (Buf)	D	20	2	12	14	11	19	5	31	19	31	9	16	6.45%	15	408	20.43	2	5	7	19	69	0	1	1	1	60	1	0	0.00%	0	0	0	0.69	0	0	1	0	1	0	1
6	Taylor Ward	Americans (Buf)	RW	20	1	12	13	21	27	5	32	14	42	14	36	2.38%	0	320	16.03	0	4	4	8	82	0	0	0	0	0	0	0	63.64%	22	0	0	0.81	0	0	0	1	0	0	4
7	Dalibor Dvorsky	Americans (Buf)	C	20	7	5	12	17	10	0	17	39	66	14	45	10.61%	2	323	16.20	0	0	0	1	3	0	1	1	0	22	0	1	69.78%	278	0	0	0.74	0	0	0	0	1	2	0
8	Sam Malinski	Americans (Buf)	D	20	4	8	12	11	16	0	19	15	38	6	19	10.53%	14	434	21.74	2	2	4	27	71	0	0	0	0	70	0	0	0.00%	1	0	0	0.55	0	0	0	0	0	1	1
9	Maxwell Crozier	Americans (Buf)	D	20	2	8	10	17	24	0	28	16	14	3	9	14.29%	8	302	15.14	0	0	0	3	10	0	0	0	0	14	0	0	0.00%	0	0	0	0.66	0	0	0	0	0	1	1
10	Raphael Lavoie	Americans (Buf)	C/RW	20	5	4	9	12	23	5	22	22	36	13	37	13.89%	1	284	14.21	2	1	3	14	83	1	0	1	1	50	2	1	65.78%	263	0	0	0.63	0	0	1	0	0	2	0
11	Matt Savoie	Americans (Buf)	C	19	4	4	8	6	2	0	7	26	33	9	23	12.12%	5	231	12.19	0	0	0	0	0	0	0	0	2	27	1	0	63.22%	174	0	0	0.69	0	0	0	0	1	0	0
12	Owen Sillinger	Americans (Buf)	LW	20	1	7	8	8	10	0	20	16	49	12	41	2.04%	1	301	15.08	0	0	0	1	0	0	0	0	0	0	0	0	57.14%	14	0	0	0.53	0	0	0	0	0	0	0
13	Ben King	Americans (Buf)	C	20	6	1	7	9	4	0	10	8	16	1	11	37.50%	0	149	7.46	0	0	0	1	5	0	0	0	0	8	2	0	67.74%	62	0	0	0.94	0	0	0	0	0	1	1
14	Mathias Laferriere	Americans (Buf)	RW	20	1	6	7	8	16	0	16	10	18	11	20	5.56%	4	299	14.99	0	0	0	0	0	0	0	0	0	0	0	0	64.29%	14	0	0	0.47	0	0	0	0	0	0	1
15	Kevin Labanc	Buffalo Sabres	LW/RW	9	2	4	6	5	4	0	8	5	24	5	17	8.33%	0	170	18.90	1	0	1	10	44	0	0	0	1	12	0	0	78.57%	28	0	0	0.71	0	3	0	0	0	1	0
16	Noah Juulsen	Americans (Buf)	D	9	0	6	6	8	16	0	18	11	15	7	14	0.00%	11	210	23.35	0	2	2	12	36	0	0	0	0	31	0	0	0.00%	0	0	0	0.57	0	0	0	0	0	1	1
17	Matt Kiersted	Americans (Buf)	D	11	2	3	5	7	6	0	6	14	3	2	5	66.67%	7	164	14.94	0	0	0	0	0	0	0	0	0	16	1	0	0.00%	0	0	0	0.61	0	0	0	0	1	0	0
18	Nick Swaney	Americans (Buf)	RW	20	2	2	4	12	2	0	2	2	10	4	7	20.00%	4	228	11.44	0	0	0	0	0	0	0	0	0	0	0	0	83.33%	6	0	0	0.35	0	0	0	0	0	0	1
Team Total or Average				328	69	130	199	225	219	15	326	327	631	160	435	10.94%	100	5592	17.05	14	25	39	182	746	2	4	6	14	578	14	3	65.57%	1426	1	1	0.71	1	9	2	1	14	14	15

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Arturs Silovs	Americans (Buf)	20	14	3	3	0.937	1.19	1213	4	4	24	382	0	0	0	0.556	9	20	0	2	1	1
Team Total or Average			20	14	3	3	0.937	1.19	1213	4	4	24	382	0	0	0	0.556	9	20	0	2	1	1

Show or Hide Column

Filter Tips

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

Player Name	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
Akito Hirose	D	26	1999-04-09	No	170 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Arthur Kaliyev	LW/RW	24	2001-06-26	No	210 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Arturs Silovs	G	24	2001-03-22	No	203 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Ben King	C	23	2002-05-15	No	200 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Brandon Biro	LW	27	1998-03-11	No	170 Lbs	5 ft11	No	No	No	4	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Brandon Scanlin	D	26	1999-06-02	No	218 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Charles-Alexis Legault	D	22	2003-09-05	No	215 Lbs	6 ft4	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Daemon Hunt	D	23	2002-05-15	No	201 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dalibor Dvorsky	C	20	2005-06-15	No	201 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Guillaume Brisebois	D	28	1997-07-21	No	175 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link
Jaxson Stauber	G	26	1999-04-27	No	174 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Lleyton Moore	D	23	2002-02-27	No	178 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Massimo Rizzo	C	24	2001-06-13	No	175 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Mathias Laferriere	RW	25	2000-06-27	No	188 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Matt Kiersted	D	27	1998-04-14	No	182 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Matt Savoie (Out of Payroll)	C	21	2004-01-01	No	179 Lbs	5 ft9	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	Yes	Link
Matthew Seminoff	RW	21	2003-12-27	No	188 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Maxwell Crozier	D	25	2000-04-19	No	198 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Mikko Kokkonen	D	24	2001-01-18	No	198 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Nick Swaney	RW	28	1997-09-09	No	178 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link
Noah Juulsen	D	28	1997-04-02	No	201 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Owen Sillinger	LW	28	1997-09-23	No	182 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Raphael Lavoie	C/RW	25	2000-09-25	No	215 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Riese Gaber	RW	26	1999-10-10	No	163 Lbs	5 ft8	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Sam Lafferty	C/LW/RW	30	1995-03-06	No	205 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	830,000$	0$	0$	No	Link / NHL Link
Sam Malinski	D	27	1998-07-27	No	190 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Taylor Ward	RW	27	1998-03-31	No	207 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Uvis Balinskis	D	29	1996-08-01	No	196 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
William Villeneuve	D	23	2002-03-20	No	175 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	25.17	191 Lbs	6 ft1	2.28	432,069$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Arthur Kaliyev	Sam Lafferty		40	1	2	2
2	Brandon Biro	Dalibor Dvorsky	Taylor Ward	30	1	2	2
3	Owen Sillinger		Mathias Laferriere	20	1	2	2
4	Sam Lafferty	Ben King	Nick Swaney	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Noah Juulsen	Uvis Balinskis	40	1	2	2
2	Sam Malinski	Daemon Hunt	30	1	2	2
3	Maxwell Crozier		20	1	2	2
4	Noah Juulsen	Uvis Balinskis	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Arthur Kaliyev	Sam Lafferty		60	1	2	2
2	Brandon Biro	Raphael Lavoie	Taylor Ward	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Noah Juulsen	Uvis Balinskis	60	1	2	2
2	Sam Malinski	Daemon Hunt	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sam Lafferty	Arthur Kaliyev	60	1	2	2
2	Dalibor Dvorsky	Raphael Lavoie	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Noah Juulsen	Uvis Balinskis	60	1	2	2
2	Sam Malinski	Daemon Hunt	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Sam Lafferty	60	1	2	2	Noah Juulsen	Uvis Balinskis	60	1	2	2
2	Arthur Kaliyev	40	1	2	2	Sam Malinski	Daemon Hunt	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sam Lafferty	Arthur Kaliyev	60	1	2	2
2	Dalibor Dvorsky	Raphael Lavoie	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Noah Juulsen	Uvis Balinskis	60	1	2	2
2	Sam Malinski	Daemon Hunt	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Arthur Kaliyev	Sam Lafferty		Noah Juulsen	Uvis Balinskis

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Arthur Kaliyev	Sam Lafferty		Noah Juulsen	Uvis Balinskis

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ben King, Dalibor Dvorsky,	Ben King, Dalibor Dvorsky

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Maxwell Crozier, Noah Juulsen, Sam Malinski	Maxwell Crozier	Noah Juulsen, Sam Malinski

Penalty Shots
Sam Lafferty, Arthur Kaliyev, , Raphael Lavoie, Dalibor Dvorsky

Goalie
#1 : Arturs Silovs, #2 : Jaxson Stauber

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
20	31	W3	69	130	199	631	382	103	223	326	0	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	14	3	0	0	0	3	69	27

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	6	2	0	0	0	2	31	14

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	8	1	0	0	0	1	38	13

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
104	14	13.46%	99	16	83.84%	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
194	207	226	13	21	26	22	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
441	646	68.27%	328	501	65.47%	172	281	61.21%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
612	458	370	125	231	132

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
8 - 2025-08-22	4	Senators	2	Americans	1	L	X	X	BoxScore
9 - 2025-08-23	14	Americans	1	Comets	2	L	X	X	BoxScore
15 - 2025-08-29	37	Marlies	1	Americans	5	W			BoxScore
16 - 2025-08-30	43	Americans	7	Marlies	0	W			BoxScore
20 - 2025-09-03	66	Monsters	1	Americans	3	W			BoxScore
23 - 2025-09-06	86	Americans	7	Monsters	0	W			BoxScore
29 - 2025-09-12	113	Americans	3	Comets	1	W			BoxScore
30 - 2025-09-13	126	Americans	1	Comets	2	L			BoxScore
34 - 2025-09-17	143	Americans	3	Monsters	2	W			BoxScore
36 - 2025-09-19	153	Wolfpack	0	Americans	1	W			BoxScore
37 - 2025-09-20	157	Americans	4	Penguins	2	W			BoxScore
41 - 2025-09-24	187	Rocket	3	Americans	2	L			BoxScore
44 - 2025-09-27	202	Rocket	1	Americans	5	W			BoxScore
45 - 2025-09-28	217	Americans	6	Marlies	1	W			BoxScore
48 - 2025-10-01	224	Americans	3	Rocket	1	W			BoxScore
50 - 2025-10-03	235	Bears	2	Americans	1	L			BoxScore
51 - 2025-10-04	244	Comets	3	Americans	2	L	X	X	BoxScore
55 - 2025-10-08	265	Monsters	0	Americans	6	W			BoxScore
57 - 2025-10-10	273	Crunch	1	Americans	5	W			BoxScore
58 - 2025-10-11	281	Americans	3	Crunch	2	W			BoxScore
62 - 2025-10-15	305	Comets	-	Americans	-
64 - 2025-10-17	309	Americans	-	Checkers	-
65 - 2025-10-18	320	Americans	-	Checkers	-
69 - 2025-10-22	346	Americans	-	Rocket	-
71 - 2025-10-24	354	Americans	-	Senators	-
72 - 2025-10-25	366	Americans	-	Senators	-
76 - 2025-10-29	391	Crunch	-	Americans	-
78 - 2025-10-31	402	Crunch	-	Americans	-
80 - 2025-11-02	421	Americans	-	Monsters	-
85 - 2025-11-07	433	Comets	-	Americans	-
86 - 2025-11-08	443	Americans	-	Comets	-
92 - 2025-11-14	475	Americans	-	Thunderbirds	-
93 - 2025-11-15	482	Americans	-	Islanders	-
99 - 2025-11-21	516	Comets	-	Americans	-
100 - 2025-11-22	525	Americans	-	Crunch	-
106 - 2025-11-28	562	Phantoms	-	Americans	-
107 - 2025-11-29	572	Americans	-	Phantoms	-
108 - 2025-11-30	583	Americans	-	Bears	-
113 - 2025-12-05	606	Americans	-	Bruins	-
114 - 2025-12-06	614	Americans	-	Wolfpack	-
118 - 2025-12-10	639	Comets	-	Americans	-
120 - 2025-12-12	652	Crunch	-	Americans	-
121 - 2025-12-13	662	Americans	-	Crunch	-
127 - 2025-12-19	682	Senators	-	Americans	-
131 - 2025-12-23	707	Americans	-	Monsters	-
134 - 2025-12-26	725	Crunch	-	Americans	-
135 - 2025-12-27	733	Americans	-	Comets	-
136 - 2025-12-28	746	Rocket	-	Americans	-
139 - 2025-12-31	762	Monsters	-	Americans	-
141 - 2026-01-02	773	Senators	-	Americans	-
142 - 2026-01-03	780	Marlies	-	Americans	-
146 - 2026-01-07	808	Penguins	-	Americans	-
148 - 2026-01-09	817	Americans	-	Comets	-
149 - 2026-01-10	828	Americans	-	Crunch	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16	862	Americans	-	Rocket	-
156 - 2026-01-17	869	Americans	-	Rocket	-
160 - 2026-01-21	897	Checkers	-	Americans	-
162 - 2026-01-23	907	Bruins	-	Americans	-
169 - 2026-01-30	952	Checkers	-	Americans	-
170 - 2026-01-31	963	Americans	-	Crunch	-
171 - 2026-02-01	974	Comets	-	Americans	-
176 - 2026-02-06	996	Islanders	-	Americans	-
177 - 2026-02-07	1004	Americans	-	Crunch	-
178 - 2026-02-08	1019	Crunch	-	Americans	-
181 - 2026-02-11	1032	Thunderbirds	-	Americans	-
183 - 2026-02-13	1042	Americans	-	Senators	-
184 - 2026-02-14	1056	Americans	-	Senators	-
188 - 2026-02-18	1075	Senators	-	Americans	-
190 - 2026-02-20	1084	Rocket	-	Americans	-
195 - 2026-02-25	1117	Monsters	-	Americans	-
197 - 2026-02-27	1130	Marlies	-	Americans	-
198 - 2026-02-28	1138	Americans	-	Marlies	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	18,742	9,341
Attendance PCT	93.71%	93.41%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
26	2808 - 93.61%	70,055$	700,553$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
343,926$	116,300$	116,300$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	38,926$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,821,438$	139	5,582$	775,898$

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
12	82	53	19	0	3	2	2	3	281	132	149	41	28	8	0	3	1	1	0	145	62	83	41	25	11	0	0	1	1	3	136	70	66	121	281	504	785	0	20	0	113	89	74	2324	0	785	765	761	1575	461	1177	1695	468	87	18.59%	497	42	91.55%	7	1583	2551	62.05%	1308	2158	60.61%	694	1141	60.82%	2416	1774	1586	528	955	531
13	76	41	28	0	2	2	2	1	206	137	69	38	21	13	0	1	1	2	0	95	54	41	38	20	15	0	1	1	0	1	111	83	28	93	206	368	574	0	15	0	76	71	55	1899	0	622	625	633	1525	428	1175	1683	453	75	16.56%	521	65	87.52%	1	1224	2339	52.33%	1157	2154	53.71%	546	1039	52.55%	2076	1476	1604	531	906	481
14	76	45	19	0	1	2	4	5	201	128	73	38	24	7	0	1	2	3	1	107	66	41	38	21	12	0	0	0	1	4	94	62	32	107	201	359	560	1	17	0	77	48	71	2134	0	737	666	712	1673	509	787	1303	392	62	15.82%	320	37	88.44%	5	1403	2488	56.39%	1196	2210	54.12%	565	1018	55.50%	2025	1456	1656	536	927	481
14	76	45	19	0	1	2	4	5	201	128	73	38	24	7	0	1	2	3	1	107	66	41	38	21	12	0	0	0	1	4	94	62	32	107	201	359	560	1	17	0	77	48	71	2134	0	737	666	712	1673	509	787	1303	392	62	15.82%	320	37	88.44%	5	1403	2488	56.39%	1196	2210	54.12%	565	1018	55.50%	2025	1456	1656	536	927	481
14	76	45	19	0	1	2	4	5	201	128	73	38	24	7	0	1	2	3	1	107	66	41	38	21	12	0	0	0	1	4	94	62	32	107	201	359	560	1	17	0	77	48	71	2134	0	737	666	712	1673	509	787	1303	392	62	15.82%	320	37	88.44%	5	1403	2488	56.39%	1196	2210	54.12%	565	1018	55.50%	2025	1456	1656	536	927	481
15	82	44	24	0	5	2	4	3	234	142	92	41	23	12	0	2	1	2	1	118	67	51	41	21	12	0	3	1	2	2	116	75	41	111	234	432	666	0	13	0	80	83	62	2258	0	724	772	743	1873	544	1116	1465	410	63	15.37%	494	61	87.65%	3	1658	2631	63.02%	1475	2480	59.48%	686	1122	61.14%	2247	1617	1750	557	967	517
15	82	44	24	0	5	2	4	3	234	142	92	41	23	12	0	2	1	2	1	118	67	51	41	21	12	0	3	1	2	2	116	75	41	111	234	432	666	0	13	0	80	83	62	2258	0	724	772	743	1873	544	1116	1465	410	63	15.37%	494	61	87.65%	3	1658	2631	63.02%	1475	2480	59.48%	686	1122	61.14%	2247	1617	1750	557	967	517
16	82	37	33	0	4	4	3	1	253	209	44	41	17	17	0	3	1	2	1	127	106	21	41	20	16	0	1	3	1	0	126	103	23	93	253	453	706	2	5	0	95	86	65	2352	0	820	763	756	1986	538	1044	1460	423	76	17.97%	455	88	80.66%	4	1477	2569	57.49%	1239	2482	49.92%	649	1186	54.72%	2141	1557	1879	552	938	484
17	72	52	13	0	2	1	1	3	286	121	165	36	27	5	0	1	0	1	2	148	56	92	36	25	8	0	1	1	0	1	138	65	73	114	286	527	813	0	15	0	122	92	69	2517	0	823	821	856	1479	462	890	1336	381	82	21.52%	349	41	88.25%	2	1498	2397	62.49%	1200	1929	62.21%	642	1007	63.75%	2067	1539	1450	470	829	446
18	72	51	13	0	3	4	1	0	350	120	230	36	28	5	0	2	0	1	0	182	62	120	36	23	8	0	1	4	0	0	168	58	110	114	350	640	990	0	14	0	139	125	82	2644	0	844	851	939	1599	468	857	1334	338	78	23.08%	335	44	86.87%	6	1485	2336	63.57%	1132	1979	57.20%	664	1080	61.48%	2196	1673	1340	426	799	444
19	70	46	14	0	3	1	0	6	272	113	159	35	21	11	0	1	1	0	1	137	64	73	35	25	3	0	2	0	0	5	135	49	86	105	272	512	784	1	19	0	108	86	75	2261	0	715	750	783	1515	473	825	1313	371	65	17.52%	352	36	89.77%	1	1483	2346	63.21%	1084	1948	55.65%	627	1004	62.45%	2064	1544	1378	438	797	434
20	20	14	3	0	0	0	0	3	69	27	42	10	6	2	0	0	0	0	2	31	14	17	10	8	1	0	0	0	0	1	38	13	25	31	69	130	199	0	4	21	26	22	1	631	194	207	226	13	382	103	223	326	104	14	13.46%	99	16	83.84%	2	441	646	68.27%	328	501	65.47%	172	281	61.21%	612	458	370	125	231	132
Total Regular Season	866	517	228	0	30	24	29	38	2788	1527	1261	433	266	106	0	18	12	20	11	1422	750	672	433	251	122	0	12	12	9	27	1366	777	589	1214	2788	5075	7863	6	169	21	1070	881	758	25546	194	8475	8343	8363	18826	5548	10784	15986	4534	789	17.40%	4556	565	87.60%	44	16716	27910	59.89%	13986	24741	56.53%	7061	12036	58.67%	24147	17628	18081	5801	10173	5437
Playoff
11	19	11	8	0	0	0	0	0	35	33	2	8	5	3	0	0	0	0	0	14	12	2	11	6	5	0	0	0	0	0	21	21	0	22	35	64	99	0	1	0	11	10	14	460	0	169	133	154	382	105	392	453	164	15	9.15%	161	16	90.06%	1	320	677	47.27%	286	589	48.56%	124	263	47.15%	470	316	462	149	231	118
12	16	9	7	0	0	0	0	0	42	36	6	8	4	4	0	0	0	0	0	23	20	3	8	5	3	0	0	0	0	0	19	16	3	18	42	75	117	0	1	0	16	11	15	358	0	119	119	118	349	88	211	326	108	18	16.67%	89	9	89.89%	0	228	490	46.53%	204	463	44.06%	96	218	44.04%	410	282	362	119	199	102
13	5	1	4	0	0	0	0	0	7	13	-6	2	0	2	0	0	0	0	0	2	6	-4	3	1	2	0	0	0	0	0	5	7	-2	2	7	14	21	0	0	0	3	1	3	117	0	26	45	46	104	28	88	110	43	5	11.63%	36	6	83.33%	0	90	171	52.63%	69	158	43.67%	36	71	50.70%	123	85	115	40	60	30
14	4	0	4	0	0	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	1	3	-2	0	5	9	14	0	0	0	2	2	1	97	0	30	31	36	95	22	44	44	11	1	9.09%	16	2	87.50%	1	65	124	52.42%	70	134	52.24%	31	49	63.27%	93	64	100	32	50	23
15	6	2	4	0	0	0	0	0	13	15	-2	3	1	2	0	0	0	0	0	4	5	-1	3	1	2	0	0	0	0	0	9	10	-1	4	13	22	35	0	0	0	4	5	4	151	0	58	37	51	142	43	83	116	41	5	12.20%	38	10	73.68%	0	109	202	53.96%	117	193	60.62%	55	102	53.92%	150	102	150	52	83	39
16	23	14	9	0	0	0	0	0	52	46	6	11	9	2	0	0	0	0	0	26	15	11	12	5	7	0	0	0	0	0	26	31	-5	28	52	99	151	0	0	0	12	14	21	548	0	149	176	147	562	174	349	458	130	23	17.69%	148	22	85.14%	2	459	763	60.16%	452	787	57.43%	177	331	53.47%	645	450	602	188	313	158
17	13	7	6	0	0	0	0	0	43	32	11	7	3	4	0	0	0	0	0	19	16	3	6	4	2	0	0	0	0	0	24	16	8	14	43	74	117	0	1	0	21	11	11	418	0	165	128	119	357	96	157	225	86	8	9.30%	65	12	81.54%	0	205	440	46.59%	192	416	46.15%	89	180	49.44%	335	246	308	92	145	74
18	12	6	6	0	0	0	0	0	24	24	0	6	2	4	0	0	0	0	0	13	14	-1	6	4	2	0	0	0	0	0	11	10	1	12	24	46	70	1	1	0	9	7	6	313	0	94	102	96	341	90	157	224	80	6	7.50%	72	11	84.72%	0	182	399	45.61%	180	415	43.37%	70	170	41.18%	294	203	307	94	146	70
19	10	6	4	0	0	0	0	0	35	25	10	5	3	2	0	0	0	0	0	18	11	7	5	3	2	0	0	0	0	0	17	14	3	12	35	64	99	0	0	0	13	11	10	274	0	81	94	91	244	76	142	208	49	9	18.37%	54	13	75.93%	0	170	304	55.92%	144	313	46.01%	91	156	58.33%	265	193	235	68	119	61
Total Playoff	108	56	52	0	0	0	0	0	256	233	23	52	27	25	0	0	0	0	0	123	105	18	56	29	27	0	0	0	0	0	133	128	5	112	256	467	723	1	4	0	91	72	85	2736	0	891	865	858	2576	722	1623	2164	712	90	12.64%	679	101	85.13%	4	1828	3570	51.20%	1714	3468	49.42%	769	1540	49.94%	2787	1944	2646	838	1350	679