Sabres
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Americans 1-0-1, 3pts	1	FINAL	2	Stars 1-0-0, 2pts

Team Stats
W1	Streak	W1
1-0-0	Home Record	1-0-0
0-0-1	Home Record	0-0-0
1-0-1	Last 10 Games	1-0-0
2.50	Goals Per Game	2.00
1.50	Goals Against Per Game	1.00
0.00%	Power Play Percentage	0.00%
80.00%	Penalty Kill Percentage	100.00%

Penguins
0-2-0, 0pts

FINAL

Americans
1-0-1, 3pts

Team Stats
L2	Streak	W1
0-0-0	Home Record	1-0-0
0-2-0	Home Record	0-0-1
0-2-0	Last 10 Games	1-0-1
1.00	Goals Per Game	2.50
3.50	Goals Against Per Game	1.50
33.33%	Power Play Percentage	0.00%
60.00%	Penalty Kill Percentage	80.00%

Moose
1-1-0, 2pts

Day 4

Americans
1-0-1, 3pts

Team Stats
L1	Streak	W1
1-1-0	Home Record	1-0-0
0-0-0	Away Record	0-0-1
1-1-0	Last 10 Games	1-0-1
2.50	Goals Per Game	2.50
3.00	Goals Against Per Game	2.50
16.67%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	80.00%

Americans
1-0-1, 3pts

Day 5

Checkers
0-1-1, 1pts

Team Stats
W1	Streak	OTL1
1-0-0	Home Record	0-0-1
0-0-1	Away Record	0-1-0
1-0-1	Last 10 Games	0-1-1
2.50	Goals Per Game	2.50
1.50	Goals Against Per Game	2.50
0.00%	Power Play Percentage	0.00%
80.00%	Penalty Kill Percentage	75.00%

Americans
1-0-1, 3pts

Day 6

Eagles
1-1-0, 2pts

Team Stats
W1	Streak	L1
1-0-0	Home Record	1-1-0
0-0-1	Away Record	0-0-0
1-0-1	Last 10 Games	1-1-0
2.50	Goals Per Game	4.00
1.50	Goals Against Per Game	4.00
0.00%	Power Play Percentage	75.00%
80.00%	Penalty Kill Percentage	33.33%

Team Leaders
	Goals Axel Jonsson-Fjallby 2	Assists Spencer Stastney 2

	Points Axel Jonsson-Fjallby 3	Plus/Minus Spencer Stastney 4

	Wins Tristan Jarry 1	Save Percentage Tristan Jarry 0.921

Team Stats
Goals For 5 2.50 GFG	Shots For 52 26.00 Avg	Power Play Percentage 0.0% 0 GF	Offensive Zone Start 41.8%
Goals Against 3 1.50 GAA	Shots Against 38 19.00 Avg	Penalty Kill Percentage 80.0%% 1 GA	Defensive Zone Start 34.1%

Team Info
	General Manager	Jurgen Aagaard
	Coach	Jay Woodcroft
	Division	Division 4
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,784
	Season Tickets	1,500
Roster Info
	Pro Team	20
	Farm Team	18
	Contract Limit	38 / 100
	Prospects	64

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	SP	Age	Contract	Salary
1	Angus Crookshank (R)		X			99.00	70	65	83	74	65	81	86	64	50	58	66	62	62	46	45	65	50	63	0	26	1	838,333$
2	Jacob Gaucher (R)	X				100.00	74	71	80	73	71	83	90	59	74	53	60	63	57	44	44	63	50	62	0	24	1	2,999,000$
3	Noah Ostlund (R)	X				100.00	72	64	89	69	64	68	69	65	80	59	67	63	64	44	44	66	51	61	0	21	3	1,337,000$
4	Axel Jonsson-Fjallby	X	X			100.00	77	72	88	66	72	75	80	56	70	52	56	64	53	44	45	61	49	60	0	27	1	1,000,000$
5	Konsta Helenius (R)	X				100.00	73	67	87	66	67	55	54	60	75	57	58	63	55	44	44	61	51	58	0	19	3	1,289,000$
6	Jon-Randall Avon	X				100.00	73	64	93	64	64	71	76	51	64	47	50	60	48	44	44	57	50	56	0	22	1	2,999,000$
7	Graham Slaggert	X				100.00	73	70	79	65	70	55	55	55	69	48	57	61	54	44	44	58	51	56	0	26	1	2,999,000$
8	Coulson Pitre (R)			X		100.00	75	69	89	64	69	70	76	50	50	50	46	61	44	44	44	55	50	56	0	20	3	1,277,000$
9	Matthew Wood (R)			X		100.00	85	79	99	80	79	48	50	44	50	38	44	65	42	44	44	54	50	54	0	20	3	1,269,000$
10	Aleksandr Kisakov		X			100.00	67	62	79	62	62	42	39	55	50	44	62	58	59	44	44	58	50	53	0	23	1	1,000,000$
11	Jagger Joshua		X			100.00	67	79	39	62	79	42	41	50	50	49	45	57	43	44	44	50	50	51	0	26	1	2,999,000$
12	Anthony Callin	X	X	X		100.00	79	70	99	80	70	32	30	44	55	38	44	62	42	44	44	52	50	51	0	26	1	1,000,000$
13	Victor Mancini (R)				X	100.00	77	45	89	73	83	67	71	59	25	54	48	70	25	47	46	60	48	64	0	23	3	1,538,000$
14	Spencer Stastney				X	99.00	61	41	94	76	67	69	65	63	25	55	50	79	25	50	50	60	51	64	0	25	1	925,000$
15	Maxence Guenette				X	100.00	80	78	83	65	78	70	75	54	25	42	51	65	48	44	44	59	50	61	0	24	3	1,290,000$
16	Marshall Rifai				X	100.00	73	75	67	63	75	72	79	47	25	37	41	59	39	44	44	51	50	57	0	27	1	2,999,000$
17	Filip Kral (R)				X	100.00	74	69	85	66	69	53	53	54	25	49	45	62	43	44	44	55	50	57	0	26	3	1,349,000$
18	Axel Landen (R)				X	100.00	80	72	99	80	72	49	51	41	25	28	39	61	37	44	44	50	50	56	0	20	3	1,278,000$
Scratches

	TEAM AVERAGE					99.89	74	67	85	69	71	61	63	54	49	48	52	63	47	45	45	58	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	Tristan Jarry	100.00	63	72	71	76	65	60	69	63	64	63	71	66	67	65	50	65	0	30	3	2,995,500$
2	Callum Tung (R)	100.00	44	40	50	80	45	89	45	49	90	81	45	44	44	60	51	60	0	22	1	1,000,000$
Scratches

	TEAM AVERAGE	100.00	54	56	61	78	55	75	57	56	77	72	58	55	56	63	51	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jay Woodcroft	80	80	80	80	80	80	80	CAN	39	1	1,000,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPM	PKG	PKA	PKP	PKS	PKM	GW	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Axel Jonsson-Fjallby	Americans (BUF)	C/LW	2	2	1	3	3	0	5	3	9	1	3	22.22%	1	37	18.93	3	0	0	0	0	2	1	68.42%	19	2	0	1.59	1	0	0
2	Noah Ostlund	Americans (BUF)	C	2	2	0	2	2	0	3	4	9	2	5	22.22%	1	37	18.53	4	1	0	1	1	3	0	50.00%	4	1	0	1.08	0	0	2
3	Spencer Stastney	Americans (BUF)	D	2	0	2	2	4	0	4	3	4	6	3	0%	2	54	27.42	4	0	0	0	0	5	0	0%	0	4	2	0.73	0	0	0
4	Konsta Helenius	Americans (BUF)	C	2	1	1	2	3	0	1	3	5	1	4	20.00%	0	34	17.43	3	0	0	0	0	0	0	50.00%	2	0	1	1.15	0	1	0
5	Victor Mancini	Americans (BUF)	D	2	0	1	1	3	0	1	2	1	2	0	0%	2	49	24.99	4	0	0	0	0	5	0	0%	0	2	0	0.40	0	0	0
6	Jon-Randall Avon	Americans (BUF)	C	2	0	1	1	0	0	3	0	1	0	2	0%	2	22	11.13	0	0	1	1	0	1	0	44.44%	9	0	1	0.90	0	0	0
7	Jacob Gaucher	Americans (BUF)	C	2	0	1	1	0	0	4	1	3	4	2	0%	1	39	19.70	4	0	0	0	0	5	0	0%	1	0	2	0.51	0	0	0
8	Maxence Guenette	Americans (BUF)	D	2	0	1	1	0	0	1	4	3	0	0	0%	1	41	20.95	3	0	0	0	0	1	0	0%	0	1	0	0.48	0	0	0
9	Angus Crookshank	Americans (BUF)	LW	2	0	0	0	-1	0	5	3	7	0	2	0%	1	48	24.48	4	0	0	0	0	5	0	54.35%	46	1	1	0	0	0	0
10	Marshall Rifai	Americans (BUF)	D	2	0	0	0	1	6	4	1	2	2	0	0%	0	45	22.88	3	0	0	0	0	1	0	0%	0	1	3	0	0	0	0
11	Filip Kral	Americans (BUF)	D	2	0	0	0	0	0	1	0	0	0	0	0%	0	28	14.23	0	0	0	0	0	3	0	0%	0	1	0	0	0	0	0
12	Graham Slaggert	Americans (BUF)	C	2	0	0	0	3	2	4	1	1	0	1	0%	0	31	15.63	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
13	Coulson Pitre	Americans (BUF)	RW	2	0	0	0	-1	0	3	2	0	1	0	0%	0	23	11.73	3	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
14	Jagger Joshua	Americans (BUF)	LW	2	0	0	0	-1	2	3	1	0	1	1	0%	1	26	13.47	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0
15	Aleksandr Kisakov	Americans (BUF)	LW	2	0	0	0	0	0	4	1	4	1	2	0%	1	25	12.93	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
16	Matthew Wood	Americans (BUF)	RW	2	0	0	0	0	0	2	2	3	0	1	0%	1	23	11.86	0	0	0	0	0	0	0	45.45%	11	0	1	0	0	0	0
17	Anthony Callin	Americans (BUF)	C/LW/RW	2	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.70	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
18	Axel Landen	Americans (BUF)	D	2	0	0	0	0	0	0	0	0	0	0	0%	0	18	9.03	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
Team Total or Average				36	5	8	13	16	10	48	31	52	21	26	9.62%	14	592	16.44	39	1	1	2	1	35	1	54.84%	93	13	11	0.44	1	1	2

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	Tristan Jarry	Americans (BUF)	2	1	0	1	0.921	1.50	120	0	0	3	38	24	0	0	0	0	2	0	0	0	0
Team Total or Average			2	1	0	1	0.921	1.50	120	0	0	3	38	24	0	0		0	2	0	0	0	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	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	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
Aleksandr Kisakov	Americans (BUF)	LW	23	2002-11-01	RUS	No	170 Lbs	5 ft10	No	No	Assign Manually		No	No	1	2025-12-08	False	False	Pro & Farm	1,000,000$	982,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Angus Crookshank	Americans (BUF)	LW	26	1999-10-02	CAN	Yes	183 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	838,333$	823,363$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Anthony Callin	Americans (BUF)	C/LW/RW	26	1998-12-23	USA	No	185 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-12-08	False	False	Pro & Farm	1,000,000$	982,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Axel Jonsson-Fjallby	Americans (BUF)	C/LW	27	1998-02-10	SWE	No	198 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2025-12-08	False	False	Pro & Farm	1,000,000$	982,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Axel Landen	Americans (BUF)	D	20	2005-03-29	SWE	Yes	195 Lbs	6 ft1	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,278,000$	1,255,179$	0$	0$	No	1,278,000$	1,278,000$	-	-	-	-	-	-	-	1,278,000$	1,278,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Callum Tung	Americans (BUF)	G	22	2003-11-23	CZE	Yes	198 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-12-08	False	False	Pro & Farm	1,000,000$	982,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	872,500$	872,500$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Coulson Pitre	Americans (BUF)	RW	20	2004-12-13	CAN	Yes	185 Lbs	6 ft1	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,277,000$	1,254,196$	0$	0$	No	1,277,000$	1,277,000$	-	-	-	-	-	-	-	1,277,000$	1,277,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Filip Kral	Americans (BUF)	D	26	1999-10-08	CZE	Yes	172 Lbs	6 ft5	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,349,000$	1,324,911$	0$	0$	No	1,349,000$	1,349,000$	-	-	-	-	-	-	-	1,349,000$	1,349,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Graham Slaggert	Americans (BUF)	C	26	1999-04-06	USA	No	195 Lbs	5 ft11	No	No	Free Agent		No	No	1	2025-08-28	False	False	Pro & Farm	2,999,000$	2,945,446$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jacob Gaucher	Americans (BUF)	C	24	2001-03-09	CAN	Yes	185 Lbs	6 ft3	No	No	Free Agent		No	No	1	2025-08-28	False	False	Pro & Farm	2,999,000$	2,945,446$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jagger Joshua	Americans (BUF)	LW	26	1999-03-29	USA	No	210 Lbs	6 ft3	No	No	Free Agent		No	No	1	2025-08-28	False	False	Pro & Farm	2,999,000$	2,945,446$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jon-Randall Avon	Americans (BUF)	C	22	2003-07-04	CAN	No	174 Lbs	6 ft0	No	No	Free Agent		No	No	1	2025-08-28	False	False	Pro & Farm	2,999,000$	2,945,446$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Konsta Helenius	Americans (BUF)	C	19	2006-05-11	FIN	Yes	189 Lbs	5 ft11	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,289,000$	1,265,982$	0$	0$	No	1,289,000$	1,289,000$	-	-	-	-	-	-	-	1,289,000$	1,289,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Marshall Rifai	Americans (BUF)	D	27	1998-03-16	CAN	No	200 Lbs	6 ft2	No	No	Free Agent		No	No	1	2025-08-28	False	False	Pro & Farm	2,999,000$	2,945,446$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matthew Wood	Americans (BUF)	RW	20	2005-02-06	CAN	Yes	205 Lbs	6 ft5	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,269,000$	1,246,339$	0$	0$	No	1,269,000$	1,269,000$	-	-	-	-	-	-	-	1,269,000$	1,269,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Maxence Guenette	Americans (BUF)	D	24	2001-04-28	CAN	No	210 Lbs	6 ft2	No	No	N/A		No	No	3	2025-10-17	False	False	Pro & Farm	1,290,000$	1,266,964$	0$	0$	No	1,290,000$	1,290,000$	-	-	-	-	-	-	-	1,290,000$	1,290,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Noah Ostlund	Americans (BUF)	C	21	2004-03-11	SWE	Yes	175 Lbs	5 ft11	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,337,000$	1,313,125$	0$	0$	No	1,337,000$	1,337,000$	-	-	-	-	-	-	-	1,337,000$	1,337,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Spencer Stastney	Americans (BUF)	D	25	2000-01-04	USA	No	184 Lbs	6 ft0	No	No	Trade	2024-12-13	No	No	1		False	False	Pro & Farm	925,000$	908,482$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tristan Jarry	Americans (BUF)	G	30	1995-04-29	CAN	No	195 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2025-11-06	False	False	Pro & Farm	2,995,500$	2,942,009$	0$	0$	No	2,995,500$	2,995,500$	-	-	-	-	-	-	-	2,995,500$	2,995,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Victor Mancini	Americans (BUF)	D	23	2002-05-26	USA	Yes	229 Lbs	6 ft3	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,538,000$	1,510,536$	0$	0$	No	1,538,000$	1,538,000$	-	-	-	-	-	-	-	1,538,000$	1,538,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	23.85	192 Lbs	6 ft1	1.90	1,719,042$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jacob Gaucher	Angus Crookshank	Noah Ostlund	40	1	2	2
2	Konsta Helenius	Axel Jonsson-Fjallby	Graham Slaggert	30	1	2	2
3	Angus Crookshank	Jon-Randall Avon	Coulson Pitre	20	1	2	2
4	Aleksandr Kisakov	Matthew Wood	Jagger Joshua	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mancini	Spencer Stastney	40	1	2	2
2	Maxence Guenette	Marshall Rifai	30	1	2	2
3	Spencer Stastney	Filip Kral	20	1	2	2
4	Axel Landen	Spencer Stastney	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jacob Gaucher	Angus Crookshank	Noah Ostlund	60	1	2	2
2	Konsta Helenius	Axel Jonsson-Fjallby	Coulson Pitre	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mancini	Spencer Stastney	60	1	2	2
2	Marshall Rifai	Maxence Guenette	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Angus Crookshank	Jacob Gaucher	60	1	2	2
2	Noah Ostlund	Jon-Randall Avon	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mancini	Spencer Stastney	60	1	2	2
2	Filip Kral	Marshall Rifai	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Angus Crookshank	60	1	2	2	Maxence Guenette	Spencer Stastney	60	1	2	2
2	Matthew Wood	40	1	2	2	Victor Mancini	Axel Landen	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Angus Crookshank	Noah Ostlund	60	1	2	2
2	Jacob Gaucher	Graham Slaggert	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mancini	Spencer Stastney	60	1	2	2
2	Axel Landen	Filip Kral	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jacob Gaucher	Angus Crookshank	Noah Ostlund	Victor Mancini	Spencer Stastney

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jacob Gaucher	Angus Crookshank	Noah Ostlund	Victor Mancini	Spencer Stastney

Extra Forwards
Normal	PowerPlay	Penalty Kill
Aleksandr Kisakov, Angus Crookshank, Jagger Joshua	Jacob Gaucher, Angus Crookshank	Angus Crookshank

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Spencer Stastney, Victor Mancini, Maxence Guenette	Spencer Stastney	Filip Kral, Spencer Stastney

Penalty Shots
Angus Crookshank, Jagger Joshua, Jacob Gaucher, Noah Ostlund, Axel Jonsson-Fjallby

Goalie
#1 : Tristan Jarry, #2 : Callum Tung

Custom OT Lines Forwards
Aleksandr Kisakov, Jagger Joshua, Jacob Gaucher, Noah Ostlund, Axel Jonsson-Fjallby, Konsta Helenius, Konsta Helenius, Graham Slaggert, Angus Crookshank, Jon-Randall Avon, Coulson Pitre

Custom OT Lines Defensemen
Victor Mancini, Maxence Guenette, Filip Kral, Marshall Rifai, Spencer Stastney

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	Penguins	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	2	0	3	0	33	6	31	15	0	17	9	8	24	3	0	0.00%	4	1	75.00%	1	23	38	60.53%	16	31	51.61%	12	22	54.55%	35	14	36	22	48	22
2	Stars	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	1	2	-1	1	0.500	1	2	3	0	0	2	0	3	0	19	6	31	15	0	21	5	2	24	1	0	0.00%	1	0	100.00%	0	23	38	60.53%	16	31	51.61%	12	22	54.55%	35	14	36	22	48	22
	Total	2	1	0	0	0	1	0	0	5	3	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	1	0	0	1	2	-1	3	0.750	5	8	13	0	0	2	0	3	0	52	6	31	15	0	38	14	10	48	4	0	0.00%	5	1	80.00%	1	23	38	60.53%	16	31	51.61%	12	22	54.55%	35	14	36	22	48	22
	_Since Last GM Reset	2	1	0	0	0	1	0	0	5	3	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	1	0	0	1	2	-1	3	0.750	5	8	13	0	0	2	0	3	0	52	6	31	15	0	38	14	10	48	4	0	0.00%	5	1	80.00%	1	23	38	60.53%	16	31	51.61%	12	22	54.55%	35	14	36	22	48	22
	_Vs Conference	2	1	0	0	0	1	0	0	5	3	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	1	0	0	1	2	-1	3	0.750	5	8	13	0	0	2	0	3	0	52	6	31	15	0	38	14	10	48	4	0	0.00%	5	1	80.00%	1	23	38	60.53%	16	31	51.61%	12	22	54.55%	35	14	36	22	48	22
	_Vs Division	1	1	0	0	0	1	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	1	0	0	0	0	0	3	1.500	4	6	10	0	0	2	0	3	0	33	6	31	15	0	17	9	8	24	3	0	0.00%	4	1	75.00%	1	23	38	60.53%	16	31	51.61%	12	22	54.55%	35	14	36	22	48	22

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
2	3	W1	5	8	13	52	38	14	10	48	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	0	0	1	0	0	5	3

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

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	0	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
4	0	0.00%	5	1	80.00%	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
6	31	15	0	2	0	3	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
23	38	60.53%	16	31	51.61%	12	22	54.55%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
35	14	36	22	48	22

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	OT	Link
1	5	Americans	1	Stars	2	L	X	BoxScore
2	19	Penguins	1	Americans	4	W		BoxScore
4	41	Moose	-	Americans	-
5	47	Americans	-	Checkers	-
6	64	Americans	-	Eagles	-
8	81	Heat	-	Americans	-
9	99	Americans	-	Penguins	-
10	115	Wolf Pack	-	Americans	-
11	125	Americans	-	Comets	-
13	147	Admirals	-	Americans	-
14	165	Stars	-	Americans	-
15	180	Americans	-	Silver Knights	-
16	192	Americans	-	Thunderbirds	-
17	202	Americans	-	Heat	-
18	216	Moose	-	Americans	-
20	236	Eagles	-	Americans	-
21	256	Admirals	-	Americans	-
23	269	Americans	-	Penguins	-
24	285	Stars	-	Americans	-
25	298	Americans	-	Roadrunners	-
27	309	Americans	-	Rocket	-
28	326	Checkers	-	Americans	-
29	346	Islanders	-	Americans	-
30	360	Americans	-	Islanders	-
31	376	Gulls	-	Americans	-
32	390	Americans	-	Bruins	-
34	408	Americans	-	Wild	-
35	421	Wild	-	Americans	-
36	439	Americans	-	Griffins	-
37	456	Americans	-	Gulls	-
38	462	IceHogs	-	Americans	-
40	483	Admirals	-	Americans	-
41	505	Americans	-	Eagles	-
42	518	Americans	-	Comets	-
43	528	Heat	-	Americans	-
44	547	Heat	-	Americans	-
45	560	Americans	-	Barracuda	-
46	576	Comets	-	Americans	-
47	592	Americans	-	Senators	-
48	607	Canucks	-	Americans	-
49	617	Americans	-	Comets	-
50	640	Americans	-	Wolf Pack	-
51	650	Crunch	-	Americans	-
52	671	Griffins	-	Americans	-
53	677	Americans	-	IceHogs	-
54	697	Roadrunners	-	Americans	-
56	718	Americans	-	Phantoms	-
57	733	Senators	-	Americans	-
59	751	Americans	-	Monsters	-
60	765	Condors	-	Americans	-
61	783	Americans	-	Reign	-
63	796	Wolves	-	Americans	-
64	811	Americans	-	Wolves	-
65	826	Bruins	-	Americans	-
67	846	Americans	-	Crunch	-
68	856	Monsters	-	Americans	-
69	872	Americans	-	Moose	-
70	888	Moose	-	Americans	-
72	900	Americans	-	Eagles	-
73	917	Barracuda	-	Americans	-
74	935	Americans	-	Checkers	-
75	945	Bears	-	Americans	-
78	968	Americans	-	Marlies	-
79	978	Americans	-	Bears	-
80	987	Silver Knights	-	Americans	-
81	1011	Eagles	-	Americans	-
83	1028	Americans	-	Checkers	-
84	1041	Americans	-	Canucks	-
85	1051	Eagles	-	Americans	-
87	1075	Phantoms	-	Americans	-
88	1089	Americans	-	Moose	-
90	1107	Penguins	-	Americans	-
91	1126	Monsters	-	Americans	-
92	1141	Americans	-	Stars	-
93	1156	Americans	-	Thunderbirds	-
95	1168	Marlies	-	Americans	-
Trade Deadline --- Trades can’t be done after this day is simulated!
97	1192	Thunderbirds	-	Americans	-
98	1211	Americans	-	Admirals	-
99	1219	Rocket	-	Americans	-
101	1237	Americans	-	Condors	-
102	1252	Americans	-	Stars	-
103	1257	Americans	-	Heat	-
104	1267	Penguins	-	Americans	-
106	1293	Reign	-	Americans	-
109	1314	Checkers	-	Americans	-
110	1318	Americans	-	Admirals	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	26	15
Attendance	2,000	784
Attendance PCT	100.00%	78.40%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
42	2784 - 92.80%	95,002$	95,002$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
79,252$	3,438,083$	3,438,083$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
30,697$	61,394$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,990,084$	110	39,626$	4,358,860$

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

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	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

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

	Americans
	GP: 2 \| W: 1 \| L: 0 \| OTL: 1 \| P: 3 GF: 5 \| GA: 3 \| PP%: 0.00% \| PK%: 80.00% GM : Jurgen Aagaard \| Morale : 50 \| Team Overall : 58 Next Games #41 vs Moose