Buffalo Sabres
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Syracuse Crunch 6-7-1, 13pts	4	FINAL	1	Rochester Americans 6-6-2, 14pts

Team Stats
OTL1	Streak	L2
3-4-0	Home Record	4-3-0
3-3-1	Home Record	2-3-2
5-4-1	Last 10 Games	5-3-2
3.86	Goals Per Game	4.43
4.64	Goals Against Per Game	4.50
28.26%	Power Play Percentage	37.74%
73.33%	Penalty Kill Percentage	68.75%

Rochester Americans
6-6-2, 14pts

FINAL

Toronto Marlies
8-5-1, 17pts

Team Stats
L2	Streak	W2
4-3-0	Home Record	5-1-1
2-3-2	Home Record	3-4-0
5-3-2	Last 10 Games	6-3-1
4.43	Goals Per Game	3.29
4.50	Goals Against Per Game	3.14
37.74%	Power Play Percentage	18.37%
68.75%	Penalty Kill Percentage	77.27%

Team Leaders
	Goals Tyson Jost 14	Assists Tyson Jost 14

	Points Tyson Jost 28	Plus/Minus Kale Clague 6

	Wins Devon Levi 6	Save Percentage Devon Levi 0.899

Team Stats
Goals For 62 4.43 GFG	Shots For 638 45.57 Avg	Power Play Percentage 37.7% 20 GF	Offensive Zone Start 41.0%
Goals Against 63 4.50 GAA	Shots Against 617 44.07 Avg	Penalty Kill Percentage 68.8%% 15 GA	Defensive Zone Start 40.8%

Team Info
	General Manager	Roman H.
	Coach	Seth Appert
	Division	North Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,766
	Season Tickets	0
Roster Info
	Pro Team	31
	Farm Team	18
	Contract Limit	49 / 70
	Prospects	20

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 Average
1	Peyton Krebs	0	X				100.00	73	58	81	68	73	69	79	63	66	74	64	70	54	57	58	0	41	68	0	23	4	1,900,000$
2	Tyson Jost	0	X				100.00	71	58	84	68	74	67	91	62	61	74	63	74	54	67	59	0	41	68	0	26	1	1,900,000$
3	Jack Quinn	0		X	X		100.00	65	64	83	67	67	66	71	65	56	72	68	68	74	56	56	0	39	67	0	23	4	2,250,000$
4	Jj Peterka	0		X	X		100.00	64	46	79	72	71	68	72	64	55	71	65	65	56	56	56	0	41	67	0	22	4	2,100,000$
5	Brett Murray	0	X	X	X		100.00	55	57	65	60	74	67	65	61	55	58	61	60	54	60	56	0	41	61	0	26	1	775,000$
6	Michael Mersch	0		X	X		100.00	55	59	66	61	68	66	64	61	55	59	61	60	54	70	62	0	41	61	0	32	1	775,000$
7	Justin Richards	0	X				100.00	56	54	65	59	62	66	64	59	69	59	57	60	54	60	56	0	41	60	0	26	1	775,000$
8	Linus Weissbach	0		X	X		100.00	56	57	64	60	58	67	65	61	55	59	61	59	58	60	56	0	41	60	0	26	1	775,000$
9	Noah Ostlund (R)	0	X				100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	41	60	0	20	1	775,000$
10	Anton Wahlberg (R)	0	X				100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	41	60	0	19	1	775,000$
11	Lukas Rousek	0		X	X		100.00	55	58	67	57	58	65	63	61	55	60	58	60	58	58	55	0	43	59	0	25	1	775,000$
12	Christopher Brown	0	X				100.00	51	51	65	53	57	55	55	51	52	51	51	59	51	59	54	0	40	53	0	28	1	775,000$
13	Kale Clague	0				X	100.00	62	43	77	65	71	70	63	58	40	68	57	72	54	57	57	0	41	64	0	26	1	775,000$
14	Ethan Prow	0				X	100.00	54	56	67	60	60	67	65	61	40	61	56	61	54	70	62	0	41	60	0	32	1	775,000$
15	Jeremy Davies	0				X	100.00	56	55	62	61	60	66	64	58	40	57	57	62	54	63	58	0	41	60	0	28	1	775,000$
16	Vsevolod Komarov (R)	0				X	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	41	60	0	20	1	775,000$
17	Joseph Cecconi	0				X	100.00	55	55	65	58	70	65	63	56	40	56	55	61	54	62	57	0	41	59	0	27	1	775,000$
18	Chris Jandric	0				X	100.00	54	51	65	51	56	51	51	51	38	51	51	57	51	58	53	0	41	53	0	26	1	775,000$
Scratches
1	Brandon Biro	0	X				100.00	54	58	67	58	57	63	62	61	66	60	59	62	54	60	56	0	25	60	0	26	1	775,000$
2	Mason Jobst	0	X				100.00	55	55	66	58	58	65	63	59	70	58	58	60	58	67	60	0	26	59	0	30	1	775,000$
3	Damien Giroux	0	X				100.00	55	55	66	58	59	66	64	57	70	57	55	59	54	56	54	0	26	58	0	24	1	775,000$
4	Brendan Warren	0	X	X	X		100.00	55	55	67	56	63	62	61	55	55	55	55	59	54	62	57	0	26	57	0	27	1	775,000$
5	Graham Slaggert	0	X				100.00	54	56	67	57	62	62	61	55	70	55	55	61	54	58	55	0	26	57	0	25	1	775,000$
6	Jiri Kulich	0		X	X		100.00	51	62	64	59	57	63	61	59	52	55	60	56	51	48	48	0	26	57	0	20	1	775,000$
7	Isak Rosen	0	X	X	X		100.00	51	51	64	58	55	64	61	57	52	55	56	56	51	49	48	0	26	56	0	21	1	775,000$
8	Tyson Kozak	0	X				100.00	52	52	62	54	53	62	60	53	67	52	53	57	51	51	49	0	26	54	0	22	1	775,000$
9	Dominick Mersch	0	X				100.00	51	51	65	51	60	51	51	51	52	51	51	57	51	58	53	0	26	53	0	26	1	775,000$

	TEAM AVERAGE						100.00	57	55	68	60	62	63	64	58	56	60	58	61	55	59	56	0	36	60

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 Average
1	Devon Levi	0	100.00	69	53	57	69	84	61	76	69	77	53	82	52	52	0	44	68	0	23	4	850,000$
2	Dustin Tokarski	0	100.00	65	66	67	67	72	62	70	65	67	66	68	72	62	0	44	67	0	35	1	775,000$
Scratches
1	Devin Cooley	0	100.00	59	61	61	75	66	55	66	61	59	58	59	62	56	0	33	62	0	27	1	775,000$
2	Michael Houser	0	100.00	57	59	59	64	65	56	66	59	59	58	56	73	63	0	33	61	0	32	1	775,000$

	TEAM AVERAGE		100.00	63	60	61	69	72	59	70	64	66	59	66	65	58	0	39	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Seth Appert	71	60	71	64	72	68	79	USA	47	7	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	EG	HT	P/20	FT	S1	S2	S3
1	Tyson Jost	Rochester Americans (BUF)	C	14	14	14	28	3	8	0	52	65	85	22	45	16.47%	6	330	23.61	7	5	12	15	38	0	1	1	2	34	1	1	49.30%	499	1	1	1.69	0	3	2	1
2	Jack Quinn	Rochester Americans (BUF)	LW/RW	14	7	14	21	3	28	10	19	25	73	19	42	9.59%	3	291	20.80	2	9	11	21	38	0	0	0	1	35	0	0	42.42%	33	0	0	1.44	2	0	2	0
3	Jj Peterka	Rochester Americans (BUF)	LW/RW	14	5	14	19	3	10	0	20	24	63	14	37	7.94%	3	288	20.60	2	6	8	12	38	0	0	0	1	31	1	0	43.02%	86	0	0	1.32	0	1	0	2
4	Peyton Krebs	Rochester Americans (BUF)	C	14	4	12	16	-4	6	0	41	47	72	23	62	5.56%	7	319	22.81	1	3	4	11	38	1	0	1	1	35	0	0	48.80%	416	0	0	1.00	0	0	2	0
5	Kale Clague	Rochester Americans (BUF)	D	14	2	11	13	6	8	0	21	22	36	13	11	5.56%	49	330	23.59	1	2	3	14	36	0	0	0	0	35	0	0	0%	0	0	0	0.79	0	0	1	0
6	Brett Murray	Rochester Americans (BUF)	C/LW/RW	14	5	6	11	-4	4	0	19	20	32	10	35	15.63%	5	249	17.81	1	1	2	4	39	0	0	0	0	4	2	0	43.48%	23	0	0	0.88	0	0	0	1
7	Justin Richards	Rochester Americans (BUF)	C	14	4	6	10	-4	8	0	18	38	34	8	31	11.76%	3	226	16.16	0	0	0	0	0	0	0	0	0	10	0	0	49.69%	326	0	0	0.88	0	0	0	0
8	Michael Mersch	Rochester Americans (BUF)	LW/RW	14	7	3	10	-4	2	0	14	18	48	15	24	14.58%	3	245	17.53	2	2	4	10	39	0	0	0	0	0	1	0	36.00%	25	0	0	0.82	0	0	0	0
9	Jeremy Davies	Rochester Americans (BUF)	D	14	4	5	9	-10	14	0	21	17	21	8	14	19.05%	15	294	21.01	3	5	8	13	41	0	0	0	0	30	0	0	0%	0	0	0	0.61	0	0	0	1
10	Linus Weissbach	Rochester Americans (BUF)	LW/RW	14	6	2	8	-4	2	0	26	19	49	13	22	12.24%	3	218	15.58	0	0	0	0	1	0	0	0	0	0	0	1	52.94%	17	0	0	0.73	0	0	0	0
11	Lukas Rousek	Rochester Americans (BUF)	LW/RW	14	2	5	7	-4	14	10	15	27	47	6	23	4.26%	2	214	15.32	0	0	0	0	1	0	0	0	0	0	0	0	18.75%	16	0	0	0.65	2	0	0	0
12	Joseph Cecconi	Rochester Americans (BUF)	D	14	0	6	6	-1	4	0	12	13	13	7	12	0%	16	214	15.32	0	0	0	0	2	0	0	0	0	6	0	0	0%	0	0	0	0.56	0	0	0	0
13	Ethan Prow	Rochester Americans (BUF)	D	14	0	5	5	-9	4	0	18	17	26	6	10	0%	19	298	21.35	0	3	3	12	41	0	0	0	0	35	0	0	0%	0	0	0	0.33	0	0	0	0
14	Vsevolod Komarov	Rochester Americans (BUF)	D	14	1	3	4	6	10	0	33	7	18	3	7	5.56%	30	325	23.22	1	1	2	5	35	0	0	0	0	31	0	0	0%	0	0	0	0.25	0	0	0	1
15	Chris Jandric	Rochester Americans (BUF)	D	14	1	1	2	-3	2	0	16	5	14	3	8	7.14%	15	218	15.63	0	0	0	0	1	0	0	0	0	13	1	0	0%	0	0	0	0.18	0	0	0	0
16	Christopher Brown	Rochester Americans (BUF)	C	13	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.03	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0
17	Noah Ostlund	Rochester Americans (BUF)	C	14	0	0	0	-2	2	0	2	1	5	1	1	0%	0	18	1.29	0	0	0	2	2	0	0	0	0	0	0	0	33.33%	9	0	0	0	0	0	0	0
18	Anton Wahlberg	Rochester Americans (BUF)	C	14	0	0	0	-1	0	0	5	8	2	0	5	0%	0	44	3.15	0	0	0	0	0	0	0	0	0	0	0	0	45.45%	66	0	0	0	0	0	0	0
Team Total or Average				251	62	107	169	-29	126	20	352	373	638	171	389	9.72%	179	4127	16.44	20	37	57	119	397	1	1	2	5	306	6	2	47.89%	1516	1	1	0.82	4	4	7	6

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	Devon Levi	Rochester Americans (BUF)	14	6	6	2	0.899	4.42	842	2	0	62	616	0	0	1	0	0	14	0	1	0	1
Team Total or Average			14	6	6	2	0.899	4.42	842	2	0	62	616	0	0	1		0	14	0	1	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	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Force UFA	Emergency Recall	Type	Current Salary	Salary Average	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	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
Anton Wahlberg	Rochester Americans (BUF)	C	19	04.07.2005	Yes	88 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Brandon Biro	Rochester Americans (BUF)	C	26	11.03.1998	No	77 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Brendan Warren	Rochester Americans (BUF)	C/LW/RW	27	07.05.1997	No	87 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Brett Murray	Rochester Americans (BUF)	C/LW/RW	26	20.07.1998	No	103 Kg	196 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Chris Jandric	Rochester Americans (BUF)	D	26	03.10.1998	No	82 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Christopher Brown	Rochester Americans (BUF)	C	28	22.02.1996	No	81 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Damien Giroux	Rochester Americans (BUF)	C	24	03.03.2000	No	81 Kg	178 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Devin Cooley	Rochester Americans (BUF)	G	27	25.05.1997	No	87 Kg	196 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Devon Levi	Rochester Americans (BUF)	G	23	27.12.2001	No	84 Kg	183 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	850,000$	850,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Dominick Mersch	Rochester Americans (BUF)	C	26	16.12.1998	No	88 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dustin Tokarski	Rochester Americans (BUF)	G	35	16.09.1989	No	90 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ethan Prow	Rochester Americans (BUF)	D	32	17.11.1992	No	83 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Graham Slaggert	Rochester Americans (BUF)	C	25	06.04.1999	No	88 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Isak Rosen	Rochester Americans (BUF)	C/LW/RW	21	15.03.2003	No	79 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jack Quinn	Rochester Americans (BUF)	LW/RW	23	19.09.2001	No	84 Kg	185 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	2,250,000$	2,250,000$	0$	0$	No	2,250,000$	2,250,000$	2,250,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Jeremy Davies	Rochester Americans (BUF)	D	28	04.12.1996	No	82 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jiri Kulich	Rochester Americans (BUF)	LW/RW	20	14.04.2004	No	81 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jj Peterka	Rochester Americans (BUF)	LW/RW	22	14.01.2002	No	86 Kg	183 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	2,100,000$	2,100,000$	0$	0$	No	2,100,000$	2,100,000$	2,100,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Joseph Cecconi	Rochester Americans (BUF)	D	27	23.05.1997	No	98 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Justin Richards	Rochester Americans (BUF)	C	26	17.03.1998	No	86 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kale Clague	Rochester Americans (BUF)	D	26	05.06.1998	No	86 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Linus Weissbach	Rochester Americans (BUF)	LW/RW	26	19.04.1998	No	80 Kg	178 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Lukas Rousek	Rochester Americans (BUF)	LW/RW	25	20.04.1999	No	78 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mason Jobst	Rochester Americans (BUF)	C	30	17.02.1994	No	84 Kg	173 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Michael Houser	Rochester Americans (BUF)	G	32	13.09.1992	No	84 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Michael Mersch	Rochester Americans (BUF)	LW/RW	32	02.10.1992	No	95 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Noah Ostlund	Rochester Americans (BUF)	C	20	11.03.2004	Yes	74 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Peyton Krebs	Rochester Americans (BUF)	C	23	26.01.2001	No	85 Kg	183 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	1,900,000$	1,900,000$	0$	0$	No	1,900,000$	1,900,000$	1,900,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Tyson Jost	Rochester Americans (BUF)	C	26	14.03.1998	No	85 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	1,900,000$	1,900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tyson Kozak	Rochester Americans (BUF)	C	22	29.12.2002	No	75 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Vsevolod Komarov	Rochester Americans (BUF)	D	20	11.01.2004	Yes	85 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
31	25.58	85 Kg	183 CM	1.39	940,323$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jj Peterka	Tyson Jost	Jack Quinn	33	1	2	2
2	Brett Murray	Peyton Krebs	Michael Mersch	30	1	2	2
3	Linus Weissbach	Justin Richards	Lukas Rousek	25	1	2	2
4	Tyson Jost	Anton Wahlberg	Peyton Krebs	12	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kale Clague	Vsevolod Komarov	33	1	2	2
2	Ethan Prow	Jeremy Davies	30	1	2	2
3	Joseph Cecconi	Chris Jandric	25	1	2	2
4	Kale Clague	Vsevolod Komarov	12	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jj Peterka	Tyson Jost	Jack Quinn	50	1	2	2
2	Brett Murray	Peyton Krebs	Michael Mersch	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kale Clague	Vsevolod Komarov	50	1	2	2
2	Ethan Prow	Jeremy Davies	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tyson Jost	Peyton Krebs	50	1	2	2
2	Jj Peterka	Jack Quinn	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kale Clague	Vsevolod Komarov	50	1	2	2
2	Ethan Prow	Jeremy Davies	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Tyson Jost	50	1	2	2	Kale Clague	Vsevolod Komarov	50	1	2	2
2	Peyton Krebs	50	1	2	2	Ethan Prow	Jeremy Davies	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tyson Jost	Peyton Krebs	50	1	2	2
2	Jj Peterka	Jack Quinn	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kale Clague	Vsevolod Komarov	50	1	2	2
2	Ethan Prow	Jeremy Davies	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jj Peterka	Tyson Jost	Jack Quinn	Kale Clague	Vsevolod Komarov

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jj Peterka	Tyson Jost	Jack Quinn	Kale Clague	Vsevolod Komarov

Extra Forwards
Normal	PowerPlay	Penalty Kill
Noah Ostlund, Tyson Jost, Justin Richards	Noah Ostlund, Tyson Jost	Justin Richards

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Joseph Cecconi, Chris Jandric, Ethan Prow	Joseph Cecconi	Chris Jandric, Ethan Prow

Penalty Shots
Tyson Jost, Peyton Krebs, Jj Peterka, Jack Quinn, Brett Murray

Goalie
#1 : Devon Levi, #2 : Dustin Tokarski

Custom OT Lines Forwards
Tyson Jost, Peyton Krebs, Jj Peterka, Jack Quinn, Brett Murray, Michael Mersch, Michael Mersch, Justin Richards, Linus Weissbach, Anton Wahlberg, Noah Ostlund

Custom OT Lines Defensemen
Kale Clague, Vsevolod Komarov, Ethan Prow, Jeremy Davies, Joseph Cecconi

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	Belleville Senators	2	0	1	0	0	1	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	6	9	15	0	0	22	17	22	1	92	207	205	223	3	104	26	27	53	8	3	37.50%	11	3	72.73%	0	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94
2	Calgary Wranglers	2	1	1	0	0	0	0	0	12	11	1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	6	8	-2	2	0.500	12	19	31	0	0	22	17	22	1	84	207	205	223	3	87	30	16	51	5	2	40.00%	8	3	62.50%	1	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94
3	Cleveland Monsters	2	2	0	0	0	0	0	0	13	10	3	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	6	5	1	4	1.000	13	23	36	0	0	22	17	22	1	101	207	205	223	3	79	30	8	52	12	6	50.00%	3	2	33.33%	0	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94
4	Laval Rocket	2	1	0	0	0	1	0	0	10	9	1	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	1	0	0	6	7	-1	3	0.750	10	18	28	0	0	22	17	22	1	76	207	205	223	3	103	24	24	50	8	5	62.50%	12	3	75.00%	0	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94
5	Syracuse Crunch	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	5	7	-2	0	0.000	6	10	16	1	0	22	17	22	1	84	207	205	223	3	88	24	9	43	4	0	0.00%	2	1	50.00%	0	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94
6	Toronto Marlies	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	3	6	9	0	0	22	17	22	1	77	207	205	223	3	82	24	21	48	6	1	16.67%	8	2	75.00%	0	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94
7	Utica Comets	2	1	0	0	1	0	0	0	12	5	7	1	1	0	0	0	0	0	0	8	2	6	1	0	0	0	1	0	0	0	4	3	1	4	1.000	12	22	34	0	0	22	17	22	1	124	207	205	223	3	74	21	23	55	10	3	30.00%	4	1	75.00%	0	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94
	Total	14	5	6	0	1	2	0	0	62	63	-1	7	4	3	0	0	0	0	0	30	24	6	7	1	3	0	1	2	0	0	32	39	-7	14	0.500	62	107	169	1	0	22	17	22	1	638	207	205	223	3	617	179	128	352	53	20	37.74%	48	15	68.75%	1	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94
	_Since Last GM Reset	14	5	6	0	1	2	0	0	62	63	-1	7	4	3	0	0	0	0	0	30	24	6	7	1	3	0	1	2	0	0	32	39	-7	14	0.500	62	107	169	1	0	22	17	22	1	638	207	205	223	3	617	179	128	352	53	20	37.74%	48	15	68.75%	1	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94
	_Vs Conference	14	5	6	0	1	2	0	0	62	63	-1	7	4	3	0	0	0	0	0	30	24	6	7	1	3	0	1	2	0	0	32	39	-7	14	0.500	62	107	169	1	0	22	17	22	1	638	207	205	223	3	617	179	128	352	53	20	37.74%	48	15	68.75%	1	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94
	_Vs Division	8	5	6	0	1	2	0	0	25	37	-12	4	4	3	0	0	0	0	0	9	14	-5	4	1	3	0	1	2	0	0	16	23	-7	14	0.875	25	43	68	1	0	22	17	22	1	329	207	205	223	3	377	98	81	194	26	9	34.62%	33	9	72.73%	0	280	619	45.23%	309	616	50.16%	137	276	49.64%	327	217	322	109	192	94

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
14	14	L2	62	107	169	638	617	179	128	352	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	5	6	1	2	0	0	62	63

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	3	0	0	0	0	30	24

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	3	1	2	0	0	32	39

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	0	2	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
53	20	37.74%	48	15	68.75%	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
207	205	223	3	22	17	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 %
280	619	45.23%	309	616	50.16%	137	276	49.64%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
327	217	322	109	192	94

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	6	Belleville Senators	4	Rochester Americans	2	L		BoxScore
4	33	Utica Comets	2	Rochester Americans	8	W		BoxScore
5	38	Rochester Americans	6	Calgary Wranglers	8	L		BoxScore
8	65	Toronto Marlies	4	Rochester Americans	2	L		BoxScore
9	75	Rochester Americans	5	Syracuse Crunch	7	L		BoxScore
11	92	Rochester Americans	6	Laval Rocket	7	L	X	BoxScore
13	108	Laval Rocket	2	Rochester Americans	4	W		BoxScore
14	117	Rochester Americans	4	Belleville Senators	5	L	X	BoxScore
17	138	Calgary Wranglers	3	Rochester Americans	6	W		BoxScore
21	165	Cleveland Monsters	5	Rochester Americans	7	W		BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
23	178	Rochester Americans	4	Utica Comets	3	W	X	BoxScore
25	195	Rochester Americans	6	Cleveland Monsters	5	W		BoxScore
27	206	Syracuse Crunch	4	Rochester Americans	1	L		BoxScore
28	217	Rochester Americans	1	Toronto Marlies	4	L		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	12,899	6,461
Attendance PCT	92.14%	92.30%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2766 - 92.19%	78,340$	548,380$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,412,407$	2,915,000$	2,915,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
97,167$	2,912,426$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	113,833$	0$

Rochester 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

Rochester 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

Rochester 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

Rochester 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

Rochester 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

	Rochester Americans
	GP: 14 \| W: 6 \| L: 6 \| OTL: 2 \| P: 14 GF: 62 \| GA: 63 \| PP%: 37.74% \| PK%: 68.75% GM : Roman H. \| Morale : 37 \| Team Overall : 60