Sabres
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats
Web Lines Editor

Game Center
	Americans 7-9-0, 14pts	0	FINAL	5	Wild 13-1-2, 28pts

Team Stats
L2	Streak	W5
3-5-0	Home Record	7-1-0
4-4-0	Home Record	6-0-2
4-6-0	Last 10 Games	9-0-1
2.19	Goals Per Game	5.81
3.31	Goals Against Per Game	2.13
11.11%	Power Play Percentage	22.06%
76.19%	Penalty Kill Percentage	95.12%

Wild
13-1-2, 28pts

FINAL

Americans
7-9-0, 14pts

Team Stats
W5	Streak	L2
7-1-0	Home Record	3-5-0
6-0-2	Home Record	4-4-0
9-0-1	Last 10 Games	4-6-0
5.81	Goals Per Game	2.19
2.13	Goals Against Per Game	3.31
22.06%	Power Play Percentage	11.11%
95.12%	Penalty Kill Percentage	76.19%

Team Leaders




	Wins Arturs Silovs 7	Save Percentage Arturs Silovs 0.932

Team Stats
Goals For 35 2.19 GFG	Shots For 410 25.63 Avg	Power Play Percentage 11.1% 5 GF	Offensive Zone Start 26.0%
Goals Against 53 3.31 GAA	Shots Against 705 44.06 Avg	Penalty Kill Percentage 76.2%% 5 GA	Defensive Zone Start 55.5%

Team Info
	General Manager	Jason
	Coach	Matt Ellis
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	13
	Farm Team	20
	Contract Limit	33 / 51
	Prospects	45
Team History
	This Season	7-9-0 (14PTS)
	History	0--0
	Playoff Appearances	1
	Playoff Record (W-L)	3 - 4 (0.429%)
	Stanley Cup	0

Show or Hide Columns

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	TA	SP	Age	Contract	Salary
1	Justin Sourdif (R)	X		X		100.00	78	54	86	79	72	68	95	70	75	71	71	69	25	55	55	72	50	69		0	24	1	902,500$
2	Curtis Lazar	X	X	X		100.00	86	45	92	77	73	52	63	62	84	54	59	73	25	75	77	65	50	64	N	0	31	2	850,000$
3	Jared Wright (R)		X	X		100.00	77	43	94	87	66	59	94	60	25	63	55	69	25	46	46	65	50	64	N	0	23	4	1,800,000$
4	Justin Dowling	X				100.00	74	64	96	67	64	64	65	63	79	60	58	68	55	60	61	63	50	62		0	36	1	850,000$
5	Rhett Pitlick (R)		X	X		100.00	70	62	87	59	62	53	53	55	50	53	53	60	50	44	44	57	50	55		0	25	3	850,000$
6	Trevor Janicke (R)			X		100.00	79	72	95	60	72	38	36	46	50	43	44	62	42	44	44	51	50	51		0	25	3	850,000$
7	Cameron Butler			X		100.00	73	76	66	56	76	38	37	45	50	38	46	59	44	44	44	49	50	49		0	24	1	858,333$
8	Brandon Scanlin				X	100.00	77	81	69	58	81	60	64	47	25	37	42	61	40	44	44	52	50	57		0	27	3	850,000$
9	Vsevolod Komarov (R)				X	100.00	77	80	70	58	80	66	72	46	25	36	41	61	39	44	44	51	50	57		0	22	3	910,000$
10	Alex Kannok Leipert				X	100.00	75	74	77	58	74	52	54	48	25	40	40	61	38	44	44	51	50	55		0	26	4	850,000$
11	Marshall Rifai				X	100.00	72	78	58	57	78	46	46	49	25	43	39	59	37	44	44	49	50	54		0	28	4	850,000$
Scratches

	TEAM AVERAGE					100.00	76	66	81	65	73	54	62	54	47	49	50	64	38	49	50	57	50	58

Show or Hide Columns

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	Age	Contract	Salary
1	Arturs Silovs (R)	100.00	69	70	67	85	65	65	78	66	65	69	44	50	51	68	50	67	0	25	2	850,000$
Scratches
1	Victor Ostman (R)	100.00	47	51	64	84	57	54	53	54	52	47	30	44	44	52	50	55	0	26	4	870,000$

	TEAM AVERAGE	100.00	58	61	66	85	61	60	66	60	59	58	37	47	48	60	50	61

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Matt Ellis	63	65	74	61	67	63	81	CAN	45	2	500,000$

Show or Hide Columns

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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Columns

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)	16	7	9	0	0.932	2.95	876	0	2	43	628	0	0	0	0	0	16	16	4	0	1
Team Total or Average			16	7	9	0	0.932	2.95	876	0	2	43	628	0	0	0		0	16	16	4	0	1

Show or Hide Columns

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	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Alex Kannok Leipert	Americans (BUF)	D	26	2000-07-20	AB	No	205 Lbs	6 ft0	No	No	Free Agent	No	No	4	2026-08-01	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	850,000$	850,000$	-	-	-	-	-	-	850,000$	850,000$	850,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Arturs Silovs	Americans (BUF)	G	25	2001-03-22	LVA	Yes	208 Lbs	6 ft4	No	No	Free Agent	No	No	2	2026-08-01	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Brandon Scanlin	Americans (BUF)	D	27	1999-06-02	CAN	No	216 Lbs	6 ft4	No	No	Assign Manually	No	No	3	2026-10-05	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Cameron Butler	Americans (BUF)	RW	24	2002-06-09	ONT	No	205 Lbs	6 ft2	No	No	Assign Manually	No	No	1	2024-06-12	False	False	Pro & Farm	858,333$	858,333$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Curtis Lazar	Americans (BUF)	C/LW/RW	31	1995-02-02	CAN	No	203 Lbs	6 ft0	Yes	No	Free Agent	No	No	2	2026-08-21	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Link / NHL Link
Jared Wright	Americans (BUF)	LW/RW	23	2002-11-22	USA	Yes	178 Lbs	6 ft1	Yes	No	Free Agent	No	No	4	2026-08-08	False	False	Pro & Farm	1,800,000$	1,800,000$	0$	0$	No	1,800,000$	1,800,000$	1,800,000$	-	-	-	-	-	-	1,800,000$	1,800,000$	1,800,000$	-	-	-	-	-	-	Yes	Yes	Yes	-	-	-	-	-	-	Link / NHL Link
Justin Dowling	Americans (BUF)	C	36	1990-10-01	CAN	No	178 Lbs	5 ft11	No	No	Assign Manually	No	No	1	2026-10-05	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Justin Sourdif	Americans (BUF)	C/RW	24	2002-03-24	CAN	Yes	195 Lbs	6 ft0	No	No	Assign Manually	No	No	1	2024-06-30	False	False	Pro & Farm	902,500$	902,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Marshall Rifai	Americans (BUF)	D	28	1998-03-16	CAN	No	211 Lbs	6 ft2	No	No	Assign Manually	No	No	4	2026-10-05	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	850,000$	850,000$	-	-	-	-	-	-	850,000$	850,000$	850,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Rhett Pitlick	Americans (BUF)	LW/RW	25	2001-02-07	USA	Yes	170 Lbs	5 ft10	No	No	Prospect	No	No	3	2026-08-21	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Trevor Janicke	Americans (BUF)	RW	25	2000-12-25	USA	Yes	200 Lbs	5 ft11	No	No	Prospect	No	No	3	2026-08-21	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Victor Ostman	Americans (BUF)	G	26	2000-10-03	SWE	Yes	205 Lbs	6 ft4	No	No	Free Agent	No	No	4	2026-08-01	False	False	Pro & Farm	870,000$	870,000$	0$	0$	No	870,000$	870,000$	870,000$	-	-	-	-	-	-	870,000$	870,000$	870,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Vsevolod Komarov	Americans (BUF)	D	22	2004-01-11	RUS	Yes	210 Lbs	6 ft4	No	No	Assign Manually	No	No	3	2026-07-05	False	False	Pro & Farm	910,000$	910,000$	0$	0$	No	910,000$	910,000$	-	-	-	-	-	-	-	910,000$	910,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
13	26.31	199 Lbs	6 ft1	2.69	933,910$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			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			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 : Arturs Silovs

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

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

	Overall												Home											Visitor
#	VS Team	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	PCT	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
1	Admirals	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	1	4	4	1.000	9	18	27	0	0	13	12	10	0	114	145	132	133	0	77	22	4	51	3	0	0.00%	2	0	100.00%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
2	Firebirds	2	0	2	0	0	0	0	0	1	13	-12	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	1	2	3	0	0	13	12	10	0	13	145	132	133	0	109	30	4	26	7	0	0.00%	1	0	100.00%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
3	Ice Hogs	2	2	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	5	1	4	4	1.000	11	22	33	0	0	13	12	10	0	103	145	132	133	0	61	19	6	65	6	3	50.00%	3	0	100.00%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
4	Moose	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	0	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	4	8	12	0	1	13	12	10	0	16	145	132	133	0	102	33	6	19	8	0	0.00%	2	1	50.00%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
5	Silver Knights	2	0	2	0	0	0	0	0	0	9	-9	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	0	0	0	0	0	13	12	10	0	22	145	132	133	0	83	33	4	25	7	0	0.00%	2	2	0.00%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
6	Stars	2	1	1	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	0	4	2	0.500	7	14	21	0	1	13	12	10	0	86	145	132	133	0	89	23	8	55	2	0	0.00%	3	0	100.00%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
7	Thunderbirds	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	2	1	1	2	0.500	3	5	8	0	0	13	12	10	0	35	145	132	133	0	76	30	6	20	8	2	25.00%	3	1	66.67%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
8	Wild	2	0	2	0	0	0	0	0	0	16	-16	1	0	1	0	0	0	0	0	0	11	-11	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	0	0	0	0	0	13	12	10	0	21	145	132	133	0	108	37	10	13	4	0	0.00%	5	1	80.00%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
	Total	16	7	9	0	0	0	0	0	35	53	-18	8	3	5	0	0	0	0	0	17	29	-12	8	4	4	0	0	0	0	0	18	24	-6	14	0.438	35	69	104	0	2	13	12	10	0	410	145	132	133	0	705	227	48	274	45	5	11.11%	21	5	76.19%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
	_Since Last GM Reset	16	7	9	0	0	0	0	0	35	53	-18	8	3	5	0	0	0	0	0	17	29	-12	8	4	4	0	0	0	0	0	18	24	-6	14	0.438	35	69	104	0	2	13	12	10	0	410	145	132	133	0	705	227	48	274	45	5	11.11%	21	5	76.19%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
	_Vs Conference	16	7	9	0	0	0	0	0	35	53	-18	8	3	5	0	0	0	0	0	17	29	-12	8	4	4	0	0	0	0	0	18	24	-6	14	0.438	35	69	104	0	2	13	12	10	0	410	145	132	133	0	705	227	48	274	45	5	11.11%	21	5	76.19%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62
	_Vs Division	12	7	9	0	0	0	0	0	34	31	3	6	3	5	0	0	0	0	0	17	20	-3	6	4	4	0	0	0	0	0	17	11	6	14	0.583	34	67	101	0	2	13	12	10	0	375	145	132	133	0	513	164	40	223	31	5	16.13%	18	3	83.33%	0	116	314	36.94%	189	671	28.17%	73	225	32.44%	222	151	574	115	162	62

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
16	14	L2	35	69	104	410	705	227	48	274	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	7	9	0	0	0	0	35	53

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	5	0	0	0	0	17	29

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	4	4	0	0	0	0	18	24

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	6	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
45	5	11.11%	21	5	76.19%	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
145	132	133	0	13	12	10	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
116	314	36.94%	189	671	28.17%	73	225	32.44%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
222	151	574	115	162	62

Last Played Games Show or Hide Columns

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	Link
1	5	Americans	5	Admirals	1	W	BoxScore
2	24	Admirals	1	Americans	4	W	BoxScore
4	40	Americans	2	Thunderbirds	1	W	BoxScore
5	54	Silver Knights	4	Americans	0	L	BoxScore
6	68	Americans	0	Silver Knights	5	L	BoxScore
7	81	Stars	4	Americans	3	L	BoxScore
9	105	Moose	0	Americans	3	W	BoxScore
10	109	Americans	5	Ice Hogs	1	W	BoxScore
11	122	Americans	1	Firebirds	8	L	BoxScore
12	138	Americans	1	Moose	3	L	BoxScore
13	154	Firebirds	5	Americans	0	L	BoxScore
16	180	Ice Hogs	1	Americans	6	W	BoxScore
18	205	Thunderbirds	3	Americans	1	L	BoxScore
19	223	Americans	4	Stars	0	W	BoxScore
20	233	Americans	0	Wild	5	L	BoxScore
22	247	Wild	11	Americans	0	L	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	100	0
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	1,214,083$	1,214,083$	500,000$0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Americans Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Americans Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Americans Career Team Stats

Show or Hide Columns

	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
Total Regular Season											0											0	0	0	0	0	0	0	0	0	0	0	0																						0%			0%				0%			0%			0%	0	0	0	0	0	0
Playoff
2025	7	3	4	0	0	0	0	0	16	17	-1	4	2	2	0	0	0	0	0	10	9	1	3	1	2	0	0	0	0	0	6	8	-2	6	16	29	45	0	0	8	2	5	1	135	37	36	49	13	130	41	126	152	54	3	5.56%	50	7	86.00%	1	106	192	55.21%	99	203	48.77%	49	114	42.98%	189	131	178	59	95	48
Total Playoff	7	3	4	0	0	0	0	0	16	17	-1	4	2	2	0	0	0	0	0	10	9	1	3	1	2	0	0	0	0	0	6	8	-2	6	16	29	45	0	0	8	2	5	1	135	37	36	49	13	130	41	126	152	54	3	5.56%	50	7	86.00%	1	106	192	55.21%	99	203	48.77%	49	114	42.98%	189	131	178	59	95	48

Americans Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKP	PKS	GW	GT	FO%	P/20
1	Jakub Vrana	7	3	4	7	5	2	1	17	18	16.67%	0	157	22.47	0	1	1	5	1	1	1	1	1	37.14%	0.89
2	Trevor Lewis	7	2	4	6	1	10	18	17	11	18.18%	1	153	21.89	2	0	2	7	0	0	0	1	0	51.78%	0.78
3	Nick DeSimone	7	0	5	5	2	0	3	5	7	0%	5	132	18.97	0	1	1	6	0	0	0	0	0	0%	0.75
4	Brendan Smith	7	1	2	3	-1	4	5	6	8	12.50%	5	172	24.60	0	1	1	6	0	0	0	0	0	0%	0.35
5	Dylan McIlrath	7	0	3	3	3	15	25	4	1	0%	7	158	22.70	0	1	1	0	0	0	0	0	0	0%	0.38

Americans Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Justus Annunen	7	3	4	0	0.869	2.21	461	0	0	17	130	0	0	0	0	0

	Americans
	GP: 16 \| W: 7 \| L: 9 \| OTL: 0 \| P: 14 GF: 35 \| GA: 53 \| PP%: 11.11% \| PK%: 76.19% GM : Jason \| Morale : 50 \| Team Overall : 58