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

Game Center
	Americans 11-10-0, 22pts	4	FINAL	5	Marlies 16-8-0, 32pts

Team Stats
L2	Streak	W2
7-5-0	Home Record	10-1-0
4-5-0	Away Record	6-7-0
5-4-1	Last 10 Games	6-4-0
4.29	Goals Per Game	3.54
3.29	Goals Against Per Game	3.75
34.62%	Power Play Percentage	29.03%
70.27%	Penalty Kill Percentage	70.11%

Marlies
16-8-0, 32pts

FINAL

Americans
11-10-0, 22pts

Team Stats
W2	Streak	L2
10-1-0	Home Record	7-5-0
6-7-0	Away Record	4-5-0
6-4-0	Last 10 Games	5-4-1
3.54	Goals Per Game	4.29
3.75	Goals Against Per Game	3.29
29.03%	Power Play Percentage	34.62%
70.11%	Penalty Kill Percentage	70.27%

Team Leaders




	Wins Thomas Greiss 11	Save Percentage Zach Sawchenko 0.931

Team Stats
Goals For 90 4.29 GFG	Shots For 781 37.19 Avg	Power Play Percentage 34.6% 27 GF	Offensive Zone Start 40.8%
Goals Against 69 3.29 GAA	Shots Against 737 35.10 Avg	Penalty Kill Percentage 70.3% 11 GA	Defensive Zone Start 40.4%

Team Info
	General Manager	Jean-Nicolas Bleau
	Coach	Neil Graham
	Division	North Division
	Conference	Eastern Conference
	Captain	Jujhar Khaira
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	21
	Contract Limit	45 / 80
	Prospects	97
Team History
	This Season	11-10
	History	149-83-16 (0.601%)
	Playoff Appearances	1
	Playoff Record (W-L)	26-18
	Stanley Cup	0

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	Age	Contract	Salary
1	Emil Bemstrom (R)	0		X	X		100.00	62	37	95	72	73	82	83	71	63	70	68	62	72	64	66	0	75	67	0	24	1	966,300$
2	Denis Malgin (R)	0	X				100.00	66	33	95	70	68	77	71	65	60	61	69	57	66	67	69	0	75	65	0	26	3	950,000$
3	Max Comtois (R)	0		X	X		100.00	76	54	70	67	82	83	82	68	57	65	63	58	66	65	64	0	75	65	0	24	1	1,403,000$
4	William Bitten	0	X				100.00	73	37	88	67	70	83	85	65	67	64	60	61	62	65	67	0	75	64	0	25	2	805,000$
5	Taro Hirose (R)	0		X			100.00	62	35	94	66	63	83	88	67	65	68	59	61	65	67	69	0	75	64	0	27	1	800,000$
6	Fredrik Olofsson	0		X			100.00	68	38	89	62	78	76	71	63	57	59	60	62	58	67	68	0	75	63	0	27	3	920,000$
7	Nick Abruzzese (R)	0	X				100.00	60	36	92	66	69	80	74	63	69	64	59	60	61	64	66	0	75	63	0	24	3	950,000$
8	Samuel Fagemo (R)	0			X		100.00	63	37	89	64	74	88	85	63	56	59	66	60	64	65	66	0	75	63	0	23	4	925,000$
9	Gabriel Fortier (R)	0	X				100.00	72	36	86	62	68	79	88	61	55	58	59	60	62	63	65	0	75	62	0	23	2	925,000$
10	Arshdeep Bains (R)	0		X			100.00	62	38	87	60	71	69	72	59	64	62	58	57	59	62	64	0	75	61	0	22	3	950,000$
11	Logan Hutsko (R)	0			X		100.00	58	37	87	61	67	82	81	60	66	63	57	56	59	64	66	0	75	61	0	24	2	950,000$
12	Adam Raska (R)	0			X		100.00	78	44	60	58	66	73	81	59	57	58	59	60	58	62	64	0	75	60	0	22	2	950,000$
13	Dylan Coghlan (R)	0				X	100.00	71	40	91	67	82	81	75	66	30	69	64	65	52	65	67	0	75	66	0	25	1	925,000$
14	Ian Mitchell (R)	0				X	100.00	60	39	91	69	71	84	79	67	30	71	63	62	54	64	66	0	75	65	0	24	1	925,000$
15	Joel Hanley	0				X	100.00	68	37	92	67	70	79	72	66	30	65	55	64	50	72	74	0	75	64	0	32	3	840,000$
16	Will Butcher	0				X	100.00	58	36	95	67	69	84	79	65	30	66	58	56	51	69	70	0	75	63	0	28	3	875,000$
17	Filip Kral (R)	0				X	100.00	69	38	88	60	80	73	75	57	30	59	58	61	50	64	66	0	75	61	0	24	2	950,000$
18	Daemon Hunt (R)	0				X	100.00	65	37	94	54	74	65	70	53	30	54	53	56	45	61	63	0	75	58	0	21	3	950,000$
Scratches
1	Alex Turcotte (R)	0	X				100.00	60	38	80	64	69	76	72	62	66	58	59	60	65	62	64	0	75	61	0	22	2	950,000$
2	Blake McLaughlin (R)	0		X			100.00	55	36	88	52	64	68	65	51	52	53	53	50	51	63	65	0	75	56	0	23	3	950,000$
3	Axel Andersson (R)	0				X	100.00	61	38	86	55	70	63	72	52	30	54	53	56	45	63	65	0	75	57	0	23	1	925,000$

	TEAM AVERAGE					100.00	65	38	87	63	71	78	77	62	51	62	60	59	58	65	66	0	75	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	Age	Contract	Salary
1	Thomas Greiss	100.00	81	71	65	84	80	79	81	80	79	81	80	83	91	0	75	70	0	37	2	900,000$
2	Zach Sawchenko (R)	100.00	74	69	70	74	73	72	74	73	72	74	73	66	75	0	75	64	0	26	2	852,000$
Scratches
1	Sebastian Cossa (R)	100.00	54	55	56	98	53	52	54	53	52	54	53	61	65	0	75	54	0	21	3	950,000$

	TEAM AVERAGE	100.00	70	65	64	85	69	68	70	69	68	70	69	70	77	0	75	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Neil Graham	65	67	72	71	57	53	89	CAN	37	1	550,000$

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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	FW	FL	FT	S1	S2	S3
1	Emil Bemstrom	Americans (BUF)	LW/RW	21	17	11	28	2	6	0	30	66	131	17	88	12.98%	5	486	23.14	5	6	11	19	67	0	7	2	0	54.29%	35	3	1.15	0	0	0	3	1	2
2	Nick Abruzzese	Americans (BUF)	C	21	6	19	25	3	8	0	23	79	67	18	33	8.96%	4	487	23.20	2	6	8	13	67	0	9	1	0	46.97%	677	0	1.03	0	0	0	0	0	2
3	Max Comtois	Americans (BUF)	LW/RW	21	12	12	24	4	9	5	65	32	83	16	35	14.46%	2	360	17.16	2	8	10	20	54	0	0	1	1	62.96%	27	0	1.33	1	0	0	3	2	2
4	Samuel Fagemo	Americans (BUF)	RW	21	10	14	24	4	4	0	43	28	84	24	66	11.90%	10	473	22.56	3	7	10	21	67	0	0	3	0	41.18%	34	1	1.01	0	0	0	1	1	0
5	Denis Malgin	Americans (BUF)	C	21	7	12	19	-1	0	0	22	29	57	13	42	12.28%	6	314	14.98	4	4	8	18	50	0	1	0	0	45.10%	408	0	1.21	0	0	0	2	0	1
6	Ian Mitchell	Americans (BUF)	D	21	3	15	18	3	2	0	19	34	29	10	41	10.34%	17	485	23.14	1	5	6	13	54	0	27	1	1	0.00%	0	0	0.74	0	0	0	0	1	0
7	Joel Hanley	Americans (BUF)	D	21	3	14	17	-2	8	0	36	27	21	7	11	14.29%	23	370	17.66	1	3	4	2	7	0	28	1	0	0.00%	0	0	0.92	0	0	0	1	1	1
8	Taro Hirose	Americans (BUF)	LW	21	5	10	15	0	0	0	11	35	55	18	32	9.09%	9	342	16.33	3	4	7	11	45	1	22	0	0	56.52%	23	0	0.88	0	0	0	0	1	0
9	Dylan Coghlan	Americans (BUF)	D	18	3	10	13	2	25	5	33	19	17	6	23	17.65%	24	357	19.86	0	0	0	0	3	0	4	0	0	0.00%	0	0	0.73	1	0	0	0	0	0
10	Gabriel Fortier	Americans (BUF)	C	21	7	6	13	-2	2	0	30	35	53	15	36	13.21%	6	400	19.09	1	0	1	1	2	0	34	0	0	40.17%	239	0	0.65	0	0	0	0	1	2
11	Will Butcher	Americans (BUF)	D	21	2	9	11	2	4	0	14	24	24	8	15	8.33%	18	407	19.42	1	1	2	12	48	0	17	0	0	0.00%	0	0	0.54	0	0	0	0	0	0
12	William Bitten	Americans (BUF)	C	21	4	6	10	2	4	0	29	20	37	12	22	10.81%	4	278	13.24	0	0	0	0	0	0	4	0	0	43.86%	57	0	0.72	0	0	0	0	1	1
13	Adam Raska	Americans (BUF)	RW	17	2	5	7	-2	19	5	43	13	22	8	16	9.09%	24	298	17.57	1	1	2	8	45	0	1	1	0	20.00%	5	0	0.47	0	1	0	0	0	0
14	Daemon Hunt	Americans (BUF)	D	21	2	5	7	2	2	0	25	11	22	3	11	9.09%	31	459	21.88	2	0	2	16	64	0	25	1	0	0.00%	0	0	0.30	0	0	0	0	0	0
15	Logan Hutsko	Americans (BUF)	RW	21	2	4	6	-4	0	0	3	8	15	7	12	13.33%	1	125	6.00	0	0	0	0	4	0	0	0	0	45.45%	11	0	0.95	0	0	0	0	0	0
16	Arshdeep Bains	Americans (BUF)	LW	21	2	3	5	-2	0	0	9	11	17	4	10	11.76%	0	138	6.57	0	0	0	0	0	0	8	0	0	35.71%	14	0	0.72	0	0	0	0	0	0
17	Alex Turcotte	Americans (BUF)	C	17	0	5	5	6	0	0	8	36	28	5	16	0.00%	7	264	15.57	0	0	0	3	0	0	11	0	0	42.90%	345	0	0.38	0	0	0	0	0	0
18	Fredrik Olofsson	Americans (BUF)	LW	15	2	2	4	4	0	0	4	10	10	4	12	20.00%	1	108	7.25	0	1	1	2	8	0	15	0	0	45.65%	46	0	0.74	0	0	0	0	1	0
19	Filip Kral	Americans (BUF)	D	18	1	3	4	0	7	5	11	7	6	3	7	16.67%	7	162	9.03	1	2	3	3	22	0	10	0	0	0.00%	0	0	0.49	0	0	1	0	0	0
20	Axel Andersson	Americans (BUF)	D	5	0	2	2	3	0	0	11	0	3	1	1	0.00%	2	58	11.63	0	0	0	0	2	0	2	0	0	0.00%	0	0	0.69	0	0	0	0	0	0
Team Total or Average				384	90	167	257	24	100	20	469	524	781	199	529	11.52%	201	6381	16.62	27	48	75	162	618	1	234	11	2	45.08%	1921	4	0.81	2	1	1	10	10	11

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	GA	SA	A	EG	ST	BG	S1	S2	S3
1	Thomas Greiss	Americans (BUF)	21	11	8	2	0.908	3.17	1231	65	706	1	2	21	0	2	1	1
2	Zach Sawchenko	Americans (BUF)	1	0	0	0	0.931	2.18	55	2	29	0	0	0	21	0	0	0
Team Total or Average			22	11	8	2	0.909	3.12	1287	67	735	1	2	21	21	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Average	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Adam Raska	Americans (BUF)	RW	22	9/25/2001	Yes	178 Lbs	5 ft10	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$			Link / NHL Link
Alex Turcotte	Americans (BUF)	C	22	2/26/2001	Yes	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$			Link / NHL Link
Arshdeep Bains	Americans (BUF)	LW	22	1/9/2001	Yes	184 Lbs	6 ft0	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$		Link / NHL Link
Axel Andersson	Americans (BUF)	D	23	2/10/2000	Yes	178 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No				Link / NHL Link
Blake McLaughlin	Americans (BUF)	LW	23	2/14/2000	Yes	160 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$		Link / NHL Link
Daemon Hunt	Americans (BUF)	D	21	5/12/2002	Yes	198 Lbs	6 ft0	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$		Link / NHL Link
Denis Malgin	Americans (BUF)	C	26	1/18/1997	Yes	182 Lbs	5 ft9	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$		Link / NHL Link
Dylan Coghlan	Americans (BUF)	D	25	2/19/1998	Yes	208 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No				Link / NHL Link
Emil Bemstrom	Americans (BUF)	LW/RW	24	6/1/1999	Yes	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	966,300$	925,000$	0$	0$	No				Link / NHL Link
Filip Kral	Americans (BUF)	D	24	10/20/1999	Yes	198 Lbs	6 ft2	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$			Link / NHL Link
Fredrik Olofsson	Americans (BUF)	LW	27	5/27/1996	No	190 Lbs	6 ft2	No	No	No	3	Pro & Farm	920,000$	920,000$	0$	0$	No	920,000$	920,000$		Link / NHL Link
Gabriel Fortier	Americans (BUF)	C	23	2/6/2000	Yes	177 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	800,000$			Link / NHL Link
Ian Mitchell	Americans (BUF)	D	24	1/18/1999	Yes	193 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No				Link / NHL Link
Joel Hanley	Americans (BUF)	D	32	6/8/1991	No	190 Lbs	5 ft11	No	No	No	3	Pro & Farm	840,000$	840,000$	0$	0$	No	840,000$	840,000$		Link / NHL Link
Logan Hutsko	Americans (BUF)	RW	24	1/11/1999	Yes	172 Lbs	5 ft11	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$			Link / NHL Link
Max Comtois (1 Way Contract)	Americans (BUF)	LW/RW	24	1/8/1999	Yes	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,403,000$	1,156,000$	1,403,000$	0$	No				Link / NHL Link
Nick Abruzzese	Americans (BUF)	C	24	6/4/1999	Yes	183 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$		NHL Link
Samuel Fagemo	Americans (BUF)	RW	23	3/14/2000	Yes	200 Lbs	6 ft0	No	No	No	4	Pro & Farm	925,000$	925,000$	0$	0$	No	956,700$	956,700$	956,700$	Link / NHL Link
Sebastian Cossa	Americans (BUF)	G	21	11/21/2002	Yes	229 Lbs	6 ft6	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$		NHL Link
Taro Hirose	Americans (BUF)	LW	27	6/30/1996	Yes	162 Lbs	5 ft10	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No				Link / NHL Link
Thomas Greiss	Americans (BUF)	G	37	1/29/1986	No	219 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$			Link / NHL Link
Will Butcher	Americans (BUF)	D	28	1/6/1995	No	190 Lbs	5 ft10	No	No	No	3	Pro & Farm	875,000$	875,000$	0$	0$	No	875,000$	875,000$		Link / NHL Link
William Bitten	Americans (BUF)	C	25	7/10/1998	No	180 Lbs	5 ft11	No	No	No	2	Pro & Farm	805,000$	550,000$	0$	0$	No	805,000$			Link / NHL Link
Zach Sawchenko	Americans (BUF)	G	26	12/30/1997	Yes	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	852,000$	852,000$	0$	0$	No	852,000$			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	24.88	189 Lbs	6 ft0	2.21	936,929$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Emil Bemstrom	Nick Abruzzese	Samuel Fagemo	40	1	2	2
2	Gabriel Fortier	William Bitten	Max Comtois	30	1	2	2
3	Taro Hirose	Denis Malgin	Adam Raska	20	1	2	2
4	Arshdeep Bains	Gabriel Fortier	Logan Hutsko	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Will Butcher	Daemon Hunt	35	1	2	2
2	Ian Mitchell	Dylan Coghlan	35	1	2	2
3	Joel Hanley	Filip Kral	20	1	2	2
4	Joel Hanley	Filip Kral	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Samuel Fagemo	Nick Abruzzese	Emil Bemstrom	60	1	2	2
2	Taro Hirose	Denis Malgin	Max Comtois	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Filip Kral	Daemon Hunt	60	1	2	2
2	Ian Mitchell	Will Butcher	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Gabriel Fortier	Fredrik Olofsson	60	1	2	2
2	William Bitten	Arshdeep Bains	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Daemon Hunt	Joel Hanley	60	1	2	2
2	Filip Kral	Ian Mitchell	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	William Bitten	60	1	2	2	Filip Kral	Daemon Hunt	60	1	2	2
2	Denis Malgin	40	1	2	2	Joel Hanley	Will Butcher	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	William Bitten	Arshdeep Bains	60	1	2	2
2	Gabriel Fortier	Logan Hutsko	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Will Butcher	Joel Hanley	60	1	2	2
2	Ian Mitchell	Daemon Hunt	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Emil Bemstrom	Nick Abruzzese	Max Comtois	Dylan Coghlan	Daemon Hunt

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Emil Bemstrom	Gabriel Fortier	William Bitten	Joel Hanley	Ian Mitchell

Extra Forwards
Normal	PowerPlay	Penalty Kill
Denis Malgin, Nick Abruzzese, Taro Hirose	Denis Malgin, Logan Hutsko	Adam Raska

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Joel Hanley, Ian Mitchell, Will Butcher	Joel Hanley	Ian Mitchell, Joel Hanley

Penalty Shots
Emil Bemstrom, William Bitten, Denis Malgin, Max Comtois, Taro Hirose

Goalie
#1 : Thomas Greiss, #2 : Zach Sawchenko

Custom OT Lines Forwards
Taro Hirose, Max Comtois, Arshdeep Bains, Emil Bemstrom, William Bitten, Denis Malgin, Denis Malgin, Adam Raska, Nick Abruzzese, Gabriel Fortier, Samuel Fagemo

Custom OT Lines Defensemen
Dylan Coghlan, Ian Mitchell, Daemon Hunt, Joel Hanley, Will Butcher

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

	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	Comets	7	4	3	0	0	0	0	0	26	27	-1	4	2	2	0	0	0	0	0	17	18	-1	3	2	1	0	0	0	0	0	9	9	0	8	0.571	26	48	74	0	0	35	24	29	2	265	253	262	247	19	281	74	52	145	25	8	32.00%	18	9	50.00%	0	364	784	46.43%	345	777	44.40%	157	360	43.61%	514	358	496	152	278	143
2	Marlies	7	3	4	0	0	0	0	0	33	22	11	4	3	1	0	0	0	0	0	23	8	15	3	0	3	0	0	0	0	0	10	14	-4	6	0.429	33	63	96	1	0	35	24	29	2	231	253	262	247	19	223	59	25	172	25	11	44.00%	10	2	80.00%	0	364	784	46.43%	345	777	44.40%	157	360	43.61%	514	358	496	152	278	143
3	Penguins	7	4	3	0	0	0	0	0	31	20	11	4	2	2	0	0	0	0	0	15	9	6	3	2	1	0	0	0	0	0	16	11	5	8	0.571	31	56	87	1	0	35	24	29	2	285	253	262	247	19	233	68	23	152	28	8	28.57%	9	0	100.00%	0	364	784	46.43%	345	777	44.40%	157	360	43.61%	514	358	496	152	278	143
	Total	21	11	10	0	0	0	0	0	90	69	21	12	7	5	0	0	0	0	0	55	35	20	9	4	5	0	0	0	0	0	35	34	1	22	0.524	90	167	257	2	0	35	24	29	2	781	253	262	247	19	737	201	100	469	78	27	34.62%	37	11	70.27%	0	364	784	46.43%	345	777	44.40%	157	360	43.61%	514	358	496	152	278	143
	_Since Last GM Reset	21	11	10	0	0	0	0	0	90	69	21	12	7	5	0	0	0	0	0	55	35	20	9	4	5	0	0	0	0	0	35	34	1	22	0.524	90	167	257	2	0	35	24	29	2	781	253	262	247	19	737	201	100	469	78	27	34.62%	37	11	70.27%	0	364	784	46.43%	345	777	44.40%	157	360	43.61%	514	358	496	152	278	143
	_Vs Conference	21	11	10	0	0	0	0	0	90	69	21	12	7	5	0	0	0	0	0	55	35	20	9	4	5	0	0	0	0	0	35	34	1	22	0.524	90	167	257	2	0	35	24	29	2	781	253	262	247	19	737	201	100	469	78	27	34.62%	37	11	70.27%	0	364	784	46.43%	345	777	44.40%	157	360	43.61%	514	358	496	152	278	143
	_Vs Division	7	7	7	0	0	0	0	0	33	22	11	4	5	3	0	0	0	0	0	23	8	15	3	2	4	0	0	0	0	0	10	14	-4	14	1.000	33	63	96	1	0	35	24	29	2	231	253	262	247	19	223	59	25	172	25	11	44.00%	10	2	80.00%	0	364	784	46.43%	345	777	44.40%	157	360	43.61%	514	358	496	152	278	143

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
21	22	L2	90	167	257	781	737	201	100	469	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	11	10	0	0	0	0	90	69

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	7	5	0	0	0	0	55	35

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	4	5	0	0	0	0	35	34

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	4	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
78	27	34.62%	37	11	70.27%	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
253	262	247	19	35	24	29	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
364	784	46.43%	345	777	44.40%	157	360	43.61%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
514	358	496	152	278	143

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	Link
1 - 2024-04-18	1	Penguins	2	Americans	1	BL		BoxScore
3 - 2024-04-20	9	Penguins	2	Americans	7	BW		BoxScore
5 - 2024-04-22	17	Americans	5	Penguins	3	AW		BoxScore
7 - 2024-04-24	25	Americans	7	Penguins	3	AW		BoxScore
9 - 2024-04-26	33	Penguins	4	Americans	2	BL		BoxScore
11 - 2024-04-28	41	Americans	4	Penguins	5	AL	X	BoxScore
13 - 2024-04-30	49	Penguins	1	Americans	5	BW		BoxScore
14 - 2024-05-01	57	Comets	4	Americans	2	BL		BoxScore
16 - 2024-05-03	61	Comets	4	Americans	5	BW	X	BoxScore
18 - 2024-05-05	65	Americans	2	Comets	1	AW		BoxScore
20 - 2024-05-07	69	Americans	2	Comets	4	AL		BoxScore
22 - 2024-05-09	73	Comets	6	Americans	3	BL		BoxScore
24 - 2024-05-11	77	Americans	5	Comets	4	AW	X	BoxScore
26 - 2024-05-13	81	Comets	4	Americans	7	BW		BoxScore
27 - 2024-05-14	85	Marlies	1	Americans	8	BW		BoxScore
29 - 2024-05-16	87	Marlies	2	Americans	8	BW		BoxScore
31 - 2024-05-18	89	Americans	2	Marlies	4	AL		BoxScore
33 - 2024-05-20	91	Americans	4	Marlies	5	AL	X	BoxScore
35 - 2024-05-22	93	Marlies	2	Americans	5	BW		BoxScore
37 - 2024-05-24	95	Americans	4	Marlies	5	AL		BoxScore
39 - 2024-05-26	97	Marlies	3	Americans	2	BL		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	25	15
Attendance	24,000	12,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
29	3000 - 100.00%	81,250$	975,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,108,330$	1,838,700$	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 Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Max Comtois	240	134	154	288	45	122	676	426	1051	12.75%	44	4584	19.10	34	41	75	190	0	0	0	14	6	51.51%	4	1.26	2	4
2	Emil Bemstrom	239	101	107	208	22	37	184	358	925	10.92%	50	4313	18.05	12	30	42	122	1	1	3	9	5	54.03%	2	0.96	3	6
3	Ian Mitchell	241	42	161	203	47	91	321	317	455	9.23%	366	5536	22.97	17	38	55	224	2	2	3	5	2	0.00%	0	0.73	0	0
4	Dylan Coghlan	190	30	114	144	40	112	338	211	292	10.27%	252	3993	21.02	13	23	36	116	0	0	2	4	2	0.00%	1	0.72	0	0
5	Thomas Harley	194	32	105	137	24	139	396	143	292	10.96%	230	3724	19.20	17	27	44	138	0	0	0	7	1	0.00%	0	0.74	0	0

Americans Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Zach Sawchenko	81	46	22	4	0.895	3.35	4295	8	3	240	2282	0	0	0.917	12
2	Laurent Brossoit	68	40	24	4	0.902	3.28	3901	8	4	213	2171	2	1	0.833	6
3	Thomas Greiss	55	35	15	1	0.916	2.78	3175	6	1	147	1758	2	2	0.818	11
4	Alex Stalock	33	17	9	1	0.892	3.41	1585	2	1	90	834	0	0	0.000	0
5	Michael McNiven	20	7	4	3	0.897	3.45	1044	2	1	60	585	0	2	0.333	3

Americans Career Team Stats

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
23	82	41	28	0	5	5	1	2	334	278	56	41	20	13	0	2	3	1	2	166	147	19	41	21	15	0	3	2	0	0	168	131	37	101	334	606	940	3	5	120	106	102	6	3183	1027	1031	1094	38	2759	795	513	1854	253	60	23.72%	220	48	78.18%	4	1822	3169	57.49%	1563	2901	53.88%	796	1428	55.74%	2129	1538	1799	557	1023	533
2022	82	42	30	0	5	4	1	0	344	291	53	41	18	16	0	4	2	1	0	181	161	20	41	24	14	0	1	2	0	0	163	130	33	100	344	628	972	1	2	116	115	107	6	3210	1034	1106	1052	23	2670	793	571	1920	274	71	25.91%	242	47	80.58%	1	1816	3204	56.68%	1514	2798	54.11%	813	1426	57.01%	2133	1527	1780	563	1027	536
2023	82	47	25	0	3	2	4	1	329	244	85	41	27	10	0	2	1	1	0	179	118	61	41	20	15	0	1	1	3	1	150	126	24	111	329	590	919	2	3	127	113	82	9	3132	1061	1058	999	31	2670	832	400	1944	274	66	24.09%	159	31	80.50%	0	1560	3111	50.14%	1406	2843	49.45%	654	1337	48.92%	2054	1465	1852	575	1043	531
Total Regular Season	246	130	83	0	13	11	6	3	1007	813	194	123	65	39	0	8	6	3	2	526	426	100	123	65	44	0	5	5	3	1	481	387	94	312	1007	1824	2831	6	10	363	334	291	21	9525	3122	3195	3145	92	8099	2420	1484	5718	801	197	24.59%	621	126	79.71%	5	5198	9484	54.81%	4483	8542	52.48%	2263	4191	54.00%	6317	4532	5432	1695	3095	1601
Playoff
2022	23	15	8	0	0	0	0	0	95	76	19	11	7	4	0	0	0	0	0	47	35	12	12	8	4	0	0	0	0	0	48	41	7	30	95	169	264	0	0	35	30	27	3	843	256	288	275	24	812	241	191	605	61	16	26.23%	78	11	85.90%	2	434	845	51.36%	418	855	48.89%	199	381	52.23%	563	394	557	165	297	150
2023	21	11	10	0	0	0	0	0	90	69	21	12	7	5	0	0	0	0	0	55	35	20	9	4	5	0	0	0	0	0	35	34	1	22	90	167	257	2	0	35	24	29	2	781	253	262	247	19	737	201	100	469	78	27	34.62%	37	11	70.27%	0	364	784	46.43%	345	777	44.40%	157	360	43.61%	514	358	496	152	278	143
Total Playoff	44	26	18	0	0	0	0	0	185	145	40	23	14	9	0	0	0	0	0	102	70	32	21	12	9	0	0	0	0	0	83	75	8	52	185	336	521	2	0	70	54	56	5	1624	509	550	522	43	1549	442	291	1074	139	43	30.94%	115	22	80.87%	2	798	1629	48.99%	763	1632	46.75%	356	741	48.04%	1078	752	1053	318	576	293

Americans Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Max Comtois	43	25	25	50	8	23	114	76	194	12.89%	6	810	18.84	3	9	12	40	0	0	0	4	2	55.74%	0	1.23
2	Emil Bemstrom	44	24	24	48	5	6	36	95	229	10.48%	7	962	21.87	7	8	15	33	0	0	0	4	0	55.56%	3	1.00
3	Ian Mitchell	44	7	29	36	9	10	55	60	65	10.77%	56	946	21.51	3	9	12	27	2	2	1	2	1	0.00%	0	0.76
4	Samuel Fagemo	44	14	21	35	2	9	58	44	126	11.11%	15	770	17.51	3	7	10	21	0	0	3	3	0	43.33%	1	0.91
5	Dylan Coghlan	41	9	26	35	12	43	71	54	63	14.29%	65	926	22.61	2	4	6	24	0	0	0	1	1	0.00%	0	0.76

Americans Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	GA	SA	A	EG
1	Thomas Greiss	21	11	8	2	0.908	3.17	1231	65	706	1	2
2	Zach Sawchenko	17	10	5	0	0.907	3.09	990	51	547	0	0
3	Alex Stalock	7	4	2	0	0.900	4.17	331	23	231	0	0
4	Mikhail Berdin	4	1	0	1	0.937	1.59	151	4	63	0	0

	Americans
	GP: 21 \| W: 11 \| L: 10 GF: 90 \| GA: 69 \| PP%: 34.62% \| PK%: 70.27% GM : Jean-Nicolas Bleau \| Morale : 75 \| Team Overall : 62