LSFH - Today's Games Farm

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Marcus Sorensen	0	LW/RW	100.00	66	39	86	69	67	77	84	68	56	67	64	70	68	77	69	0	50	71	31	1,000,000$/1yrs
Benoit-Olivier Groulx	0	C	100.00	69	39	81	65	80	79	83	64	80	63	61	68	62	64	69	0	50	70	23	910,833$/2yrs
Boris Katchouk	0	LW	100.00	78	39	86	64	83	77	85	61	64	62	61	65	63	64	65	0	50	70	24	821,527$/3yrs
Hayden Hodgson	0	RW	100.00	74	34	61	64	82	81	77	65	58	66	67	59	64	66	68	0	50	70	27	800,000$/3yrs
Anders Bjork	0	LW	100.00	58	35	93	66	74	81	86	63	55	61	64	67	62	67	66	0	50	69	26	1,150,000$/2yrs
Byron Froese	0	C	100.00	70	39	87	60	78	87	77	63	78	61	62	68	64	71	76	0	50	69	32	780,667$/3yrs
Matthew Peca	0	C	100.00	66	35	94	64	67	79	84	63	71	67	59	60	62	69	71	0	50	68	30	750,000$/3yrs
Gregory Hofmann	0	C	100.00	62	35	80	71	73	78	72	66	68	65	57	59	62	69	71	0	50	68	30	750,000$/1yrs
Sean Malone	0	C	100.00	63	34	70	66	74	78	71	65	75	64	63	59	65	67	69	0	50	68	28	831,000$/2yrs
Mitchell Stephens	0	C	100.00	62	34	88	63	71	77	72	60	83	64	56	68	57	64	65	0	50	67	26	905,500$/2yrs
Gustav Lindstrom	0	D	100.00	64	35	86	65	77	87	81	63	30	73	55	73	49	63	64	0	50	71	24	887,500$/2yrs
Cody Franson	0	D	100.00	83	70	86	55	94	78	87	56	30	64	57	63	45	75	77	0	50	70	35	750,000$/1yrs
Cale Fleury	0	D	100.00	80	38	92	63	79	82	84	62	30	61	55	64	51	63	66	0	50	69	24	816,666$/2yrs
Will Butcher	0	D	100.00	55	34	84	68	71	88	77	66	30	75	59	61	53	68	67	0	50	69	28	1,351,000$/2yrs
Dillon Heatherington	0	D	100.00	81	41	82	59	89	77	78	56	30	58	57	64	49	67	69	0	50	68	28	766,667$/3yrs
Casey Fitzgerald	0	D	100.00	72	35	68	61	70	84	85	61	30	64	57	62	51	65	67	0	50	68	26	1,937,500$/2yrs
Vincent Desharnais	0	D	100.00	86	77	73	56	95	72	93	54	30	59	53	62	46	66	68	0	50	68	27	775,000$/3yrs
Tommy Cross	0	D	100.00	74	43	72	58	84	78	86	57	30	60	56	61	48	73	78	0	50	68	33	750,000$/1yrs
Scratches
Kasper Bjorkqvist	0	RW	100.00	68	38	81	65	77	73	82	62	55	61	62	57	63	65	67	0	50	67	25	900,000$/1yrs
Mackenzie MacEachern	0	LW	100.00	73	41	84	57	79	77	86	58	63	59	60	57	61	68	70	0	50	66	29	750,000$/2yrs
Semyon Der-Arguchintsev	0	C	100.00	56	36	89	64	68	77	79	64	70	62	59	57	64	62	65	0	50	66	22	766,677$/2yrs
Matej Pekar	0	LW	100.00	65	53	62	51	74	73	76	52	56	53	54	55	51	62	64	0	50	61	23	913,333$/2yrs
Devante Stephens	0	D	100.00	69	42	71	58	80	64	85	56	30	56	55	59	47	65	67	0	50	65	26	1,278,000$/1yrs
Luke Witkowski	0	D	100.00	63	34	87	58	82	71	78	57	30	56	55	59	48	72	74	0	50	65	33	889,500$/2yrs
Ashton Sautner	0	D	100.00	67	39	75	59	76	67	69	58	30	57	54	56	45	68	70	0	50	64	29	750,000$/2yrs
Jeremy Groleau	0	D	100.00	73	39	75	53	82	64	72	51	30	53	52	56	45	63	65	0	50	62	23	822,334$/2yrs

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	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Louis Domingue	0	100.00	73	75	77	85	72	71	73	72	71	73	72	72	84	0	50	76	31	1,066,667$/3yrs
Michael Houser	0	100.00	75	71	72	76	74	73	75	74	73	75	74	70	84	0	50	76	30	775,000$/2yrs
Scratches
Callum Booth	0	100.00	69	64	65	83	68	67	69	68	67	69	68	65	73	0	50	71	26	928,000$/1yrs
Jeremy Brodeur	0	100.00	66	64	65	71	65	64	66	65	64	66	65	67	75	0	50	68	26	875,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Chantal Machabée	75	75	75	75	75	75	75	CAN	58	5	0$

General Manager

Player Stats

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	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKM	GW	GT	FO%	EG	P/GP	PSG	GSAVG
1	Hayden Hodgson	Americans (BUF)	RW	6	1	6	7	0	8	0	19	22	4	10	4.55%	3	22.11	0	1	1	2	0	0	53.57%	0	1.17	0	0.93
2	Gregory Hofmann	Americans (BUF)	C	6	0	5	5	-3	0	0	2	11	4	7	0.00%	1	15.64	0	2	2	0	0	0	56.83%	0	0.83	0	0.54
3	Cale Fleury	Americans (BUF)	D	6	1	3	4	-1	8	0	8	9	3	8	11.11%	10	22.83	1	0	1	20	0	0	0.00%	0	0.67	0	0.39
4	Will Butcher	Americans (BUF)	D	6	0	4	4	3	2	0	4	5	4	2	0.00%	9	20.87	0	0	0	19	0	0	0.00%	0	0.67	0	0.70
5	Gustav Lindstrom	Americans (BUF)	D	6	1	2	3	0	4	0	4	12	4	5	8.33%	11	20.24	1	0	1	20	0	0	0.00%	0	0.50	0	0.50
6	Cody Franson	Americans (BUF)	D	6	1	2	3	-4	10	0	16	2	1	5	50.00%	15	22.01	0	0	0	24	0	0	0.00%	0	0.50	0	0.05
7	Kasper Bjorkqvist	Americans (BUF)	RW	5	1	2	3	-2	2	0	8	7	1	7	14.29%	2	21.36	0	2	2	22	0	0	47.83%	0	0.60	0	0.36
8	Anders Bjork	Americans (BUF)	LW	6	2	1	3	-2	0	0	2	17	4	6	11.76%	0	13.35	0	0	0	1	0	1	50.00%	0	0.50	0	0.47
9	Sean Malone	Americans (BUF)	C	6	2	1	3	1	8	0	6	11	2	4	18.18%	1	11.76	0	0	0	0	0	0	56.96%	0	0.50	0	0.36
10	Semyon Der-Arguchintsev	Americans (BUF)	C	5	2	1	3	2	0	0	1	3	1	1	66.67%	1	7.20	0	0	0	0	1	0	53.57%	0	0.60	0	0.62
11	Boris Katchouk	Americans (BUF)	LW	6	2	0	2	-5	4	0	8	19	8	12	10.53%	4	21.43	1	0	1	24	1	0	75.00%	0	0.33	0	0.21
12	Casey Fitzgerald	Americans (BUF)	D	6	0	2	2	-3	4	0	5	3	1	3	0.00%	5	12.91	0	0	0	3	0	0	0.00%	0	0.33	0	0.04
13	Marcus Sorensen	Americans (BUF)	LW/RW	6	2	0	2	-3	2	0	1	26	4	24	7.69%	2	21.13	0	0	0	25	0	0	40.00%	1	0.33	0	0.42
14	Byron Froese	Americans (BUF)	C	6	1	1	2	0	0	0	7	9	6	16	11.11%	3	21.33	0	1	1	30	0	0	56.25%	0	0.33	0	0.44
15	Benoit-Olivier Groulx	Americans (BUF)	C	1	1	0	1	-3	0	0	2	1	2	2	100.00%	0	17.22	0	0	0	0	0	0	0.00%	0	1.00	0	-0.14
16	Matthew Peca	Americans (BUF)	C	6	0	1	1	1	2	0	3	11	4	6	0.00%	0	12.48	0	0	0	2	0	0	42.86%	0	0.17	0	0.27
17	Vincent Desharnais	Americans (BUF)	D	6	1	0	1	-1	23	5	17	3	3	5	33.33%	11	21.33	1	0	1	19	0	0	0.00%	0	0.17	0	-0.38
18	Dillon Heatherington	Americans (BUF)	D	6	0	0	0	-2	0	0	1	2	0	1	0.00%	0	2.70	0	0	0	6	0	0	0.00%	0	0.00	0	-0.08
19	Tommy Cross	Americans (BUF)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0	0.00%	0	0.00	0	0.00
20	Mitchell Stephens	Americans (BUF)	C	6	0	0	0	2	0	0	1	7	0	4	0.00%	0	6.88	0	0	0	0	0	0	100.00%	0	0.00	0	0.21
Team Total or Average			108	18	31	49	-20	77	5	115	180	56	128	10.00%	78	16.43	4	6	10	211	225	2	1	54.12%	558	0	1	0.55	0	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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S3
1	Michael Houser	Americans (BUF)	6	2	3	1	0.906	3.64	330	0	20	212	0	1	0.000	0	6	0	1	0
2	Louis Domingue	Americans (BUF)	1	0	0	0	0.958	1.67	36	0	1	24	0	0	0.000	0	0	6	0	0
Team Total or Average		7	2	3	1	0.911	3.44	366	0	21	236	0	1	0.000	0	6	6	1	0

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21
Anders Bjork	LW	26	1,150,000$	700,000$	1,600,000$	UFA
Ashton Sautner	D	29	750,000$	700,000$	750,000$	UFA
Benoit-Olivier Groulx	C	23	910,833$	910,833$	910,833$	RFA
Boris Katchouk	LW	24	821,527$	947,916$	758,333$	758,333$	UFA
Byron Froese	C	32	780,667$	817,000$	762,500$	762,500$	UFA
Cale Fleury	D	24	816,666$	883,333$	750,000$	RFA
Callum Booth	G	26	928,000$	928,000$	RFA
Casey Fitzgerald	D	26	1,937,500$	3,125,000$	750,000$	UFA
Cody Franson	D	35	750,000$	750,000$	UFA
Devante Stephens	D	26	1,278,000$	1,278,000$	UFA
Dillon Heatherington	D	28	766,667$	775,000$	762,500$	762,500$	UFA
Gregory Hofmann	C	30	750,000$	750,000$	UFA
Gustav Lindstrom	D	24	887,500$	925,000$	850,000$	RFA
Hayden Hodgson	RW	27	800,000$	800,000$	800,000$	800,000$	UFA
Jeremy Brodeur	G	26	875,000$	875,000$	UFA
Jeremy Groleau	D	23	822,334$	898,000$	746,667$	RFA
Kasper Bjorkqvist	RW	25	900,000$	900,000$	RFA
Louis Domingue	G	31	1,066,667$	1,650,000$	775,000$	775,000$	UFA
Luke Witkowski	D	33	889,500$	1,029,000$	750,000$	UFA
Mackenzie MacEachern	LW	29	750,000$	750,000$	750,000$	UFA
Marcus Sorensen	LW/RW	31	1,000,000$	1,000,000$	UFA
Matej Pekar	LW	23	913,333$	913,333$	913,333$	RFA
Matthew Peca	C	30	750,000$	700,000$	762,500$	762,500$	UFA
Michael Houser	G	30	775,000$	800,000$	750,000$	UFA
Mitchell Stephens	C	26	905,500$	1,061,000$	750,000$	UFA
Sean Malone	C	28	831,000$	912,000$	750,000$	UFA
Semyon Der-Arguchintsev	C	22	766,677$	766,677$	766,677$	RFA
Tommy Cross	D	33	750,000$	750,000$	UFA
Vincent Desharnais	D	27	775,000$	800,000$	762,500$	762,500$	UFA
Will Butcher	D	28	1,351,000$	1,952,000$	750,000$	UFA

Lines

Forward Lines
# - Anders Bjork	# - Hayden Hodgson	# - Marcus Sorensen
# - Boris Katchouk	# - Gregory Hofmann
# - Byron Froese	# - Sean Malone	# - Matthew Peca
# - Mitchell Stephens	# - Hayden Hodgson

Defensive Pairings
# - Gustav Lindstrom
# - Vincent Desharnais	# - Cale Fleury
# - Casey Fitzgerald	# - Cody Franson

1st Power Play Unit
# - Marcus Sorensen		# - Hayden Hodgson		# - Byron Froese
# - Gustav Lindstrom

2nd Power Play Unit
# - Boris Katchouk		# - Gregory Hofmann
# - Vincent Desharnais			# - Cale Fleury

Goalies
# - Michael Houser		# - Louis Domingue

Team Stats

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

#	VS Team	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	SO	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	GF%	SH%	SV%	PDO	PDOBRK
1	Wolf Pack	6	2	4	18	22	-4	4	0.333	18	31	49	1	7	7	3	1	180	58	75	38	9	237	78	77	115	24	4	16.67%	32	4	87.50%	113	200	56.50%	134	256	52.34%	55	102	53.92%	135	88	155	48	77	37	43.8%	10.0%	90.7%	100.7	FUN
	_Vs Conference	6	2	4	18	22	-4	4	0.333	18	31	49	1	7	7	3	1	180	58	75	38	9	237	78	77	115	24	4	16.67%	32	4	87.50%	113	200	56.50%	134	256	52.34%	55	102	53.92%	135	88	155	48	77	37	43.8%	10.0%	90.7%	100.7	FUN
	_Since Last GM Reset	6	2	4	18	22	-4	4	0.333	18	31	49	1	7	7	3	1	180	58	75	38	9	237	78	77	115	24	4	16.67%	32	4	87.50%	113	200	56.50%	134	256	52.34%	55	102	53.92%	135	88	155	48	77	37	43.8%	10.0%	90.7%	100.7	FUN
	Total	6	2	4	18	22	-4	4	0.333	18	31	49	1	7	7	3	1	180	58	75	38	9	237	78	77	115	24	4	16.67%	32	4	87.50%	113	200	56.50%	134	256	52.34%	55	102	53.92%	135	88	155	48	77	37	43.8%	10.0%	90.7%	100.7	FUN

	Puck Time
Offensive Zone	22
Neutral Zone	12
Defensive Zone	25

	Puck Time
Offensive Zone Start	200
Neutral Zone Start	102
Defensive Zone Start	256

	Puck Time
With Puck	29
Without Puck	32

	Faceoffs
Faceoffs Won	302
Faceoffs Lost	256

	Team Average Shots after	League Average Shots after
1st Period	9.7	9.57
2nd Period	22.2	20.31
3rd Period	28.5	30.68
Overtime	30.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.2	0.64
2nd Period	2.3	1.65
3rd Period	2.8	2.67
Overtime	3.0	2.83


Even Strenght Goal	13
PP Goal	4
PK Goal	0
Empty Net Goal	1

	Home	Away
Win	1	1
Lost	2	2
Overtime Lost	0	0


PP Attempt	24
PP Goal	4
PK Attempt	32
PK Goal Against	4

	Home
Shots For	30.0
Shots Against	39.5
Goals For	3.0
Goals Against	3.7
Hits	19.2
Shots Blocked	13.0
Pim	12.8

Schedule

Date	Matchup			Result	Detail
Trade Deadline --- Trades can�t be done after this day is simulated!
Wed, Apr 19	ROC	@	HAR	ROC2,HAR5	RECAP
Fri, Apr 21	ROC	@	HAR	ROC4,HAR3 (OT)	RECAP
Sun, Apr 23	HAR	@	ROC	HAR3,ROC2	RECAP
Tue, Apr 25	HAR	@	ROC	HAR2,ROC4	RECAP
Thu, Apr 27	ROC	@	HAR	ROC2,HAR4	RECAP
Sat, Apr 29	HAR	@	ROC	HAR5,ROC4 (OT)	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,004,709$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Rochester
	Capacity	3000
	Season Ticket Holders	10%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	24$	14$	$	$	$
Attendance	6000	3000
Attendance PCT	100.00%	100.00%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
38	3000 - 100.00%	92,380$	277,140$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,004,709$	2,744,838$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
0$	0$	0$	0$

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

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	0$	0$

Sponsors
TV Rights	Primary Sponsor	Secondary Sponsor	Secondary Sponsor

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Transactions

Injuries

No Injury or Suspension.

Game Center

Americans2-4-0, 4pts

24Final

Wolf Pack9-6-0, 18pts

54Final

Americans2-4-0, 4pts

Wolf Pack9-6-0, 18pts

Sun, Apr 30

Americans2-4-0, 4pts

Sat, Apr 22

Wolf Pack9-6-0, 18pts

Mon, Apr 24

Americans2-4-0, 4pts

TRANSACTIONS

Team Info


	Head Coach	Chantal Machabée
	Division	ATLANTIQUE
	City	Rochester
	Stadium Capacity	3,000

Americans Affiliation


	General Manager
	Head Coach	Patrick Roy
	Stadium
	Capacity	17,000

Team Leaders

GOALS Semyon Der-Arguchintsev Americans	2 GOALS
POINTS Hayden Hodgson Americans	7 POINTS
WINS Michael Houser Americans	2 WINS
Expanded Player Leaderboard

Team Stats

Goals For 18 3.00 GFG	Goals Against 22 3.67 GAA
Power Play Percentage 16.7% 4 GF	Penalty Kill Percentage 87.5% 4 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain