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
Saku Maenalanen	0	LW/RW	100.00	72	38	82	61	78	57	68	55	50	67	58	70	51	54	55	0	50	65	29	775,000$/1yrs
Jean-Sebastien Dea	0	C	100.00	56	57	66	61	59	67	65	62	69	59	62	58	54	67	60	0	50	64	30	762,500$/2yrs
Cameron Morrison	0	LW	100.00	66	38	94	58	85	73	69	58	52	56	55	58	57	64	66	0	50	64	25	750,000$/1yrs
Ryan Dzingel	0	C/LW/RW	100.00	57	61	73	60	65	61	61	57	69	59	58	64	54	70	61	0	50	63	32	750,000$/1yrs
Tyler Sikura	73	C	100.00	55	54	65	60	61	68	65	59	70	59	57	59	54	70	62	0	50	63	31	750,000$/1yrs
Samuel Laberge	0	C/LW	100.00	56	54	64	57	67	63	62	57	55	56	56	62	54	62	57	0	50	61	27	750,000$/2yrs
Max Ellis	0	RW	100.00	55	55	67	57	56	60	60	56	55	55	57	61	54	56	54	0	50	60	24	838,750$/2yrs
Jack Badini	0	C/LW	100.00	54	54	67	55	65	58	57	54	70	54	54	60	54	60	56	0	50	59	26	750,000$/1yrs
Morgan Adams-Moisan	0	RW	100.00	59	54	63	54	69	58	58	54	55	54	54	60	56	62	57	0	50	59	27	775,000$/1yrs
Justin Ducharme	0	C/LW	100.00	56	54	68	54	61	55	55	54	55	54	54	61	54	56	54	0	50	58	24	750,000$/1yrs
Jordan Frasca	0	C/LW	100.00	54	51	64	51	59	52	52	51	52	51	51	57	51	52	50	0	50	55	22	925,000$/3yrs
Xavier Cormier	0	C	100.00	52	51	65	51	57	52	52	51	67	51	51	57	51	52	50	0	50	55	22	775,000$/1yrs
Taylor Fedun	0	D	100.00	55	54	67	59	66	64	62	55	40	56	55	61	54	77	65	0	50	62	35	762,500$/2yrs
Guillaume Brisebois	0	D	100.00	56	52	71	57	61	63	59	55	40	59	56	68	54	60	57	0	50	62	26	750,000$/3yrs
Brandon Davidson	7	D	100.00	56	55	66	56	68	60	59	55	40	55	55	61	54	72	63	0	50	61	32	750,000$/1yrs
Jake Massie	0	D	100.00	55	54	67	56	60	61	60	55	40	55	54	61	54	62	57	0	50	60	27	750,000$/1yrs
Linus Hogberg	0	D	100.00	55	54	67	56	61	60	59	55	40	55	54	61	54	59	55	0	50	60	25	750,000$/1yrs
Jacob Leguerrier (R)	0	D	100.00	51	51	65	51	63	52	51	51	38	51	51	59	51	52	50	0	50	56	23	750,000$/1yrs
Scratches
Logan Shaw	71	C	100.00	55	57	65	63	69	66	64	63	55	61	61	59	58	70	62	0	50	65	31	750,000$/1yrs
Nick Swaney	0	RW	100.00	55	61	67	61	59	64	62	59	55	57	60	63	55	62	57	0	50	63	26	750,000$/2yrs
Alan Quine	0	C	100.00	55	56	66	58	66	65	63	58	70	58	57	59	56	69	61	0	50	62	31	750,000$/1yrs
Hunter Mckown	0	C	100.00	54	38	70	53	78	61	54	51	76	69	51	62	51	51	55	0	50	61	21	1,366,667$/3yrs
Luke Henman	0	C	100.00	55	56	65	57	57	66	64	56	66	56	57	62	54	56	54	0	50	61	23	791,667$/2yrs
Patrick Giles	0	C	100.00	55	55	67	57	69	64	63	55	55	55	55	61	54	56	54	0	50	60	24	750,000$/2yrs
Pavol Regenda	0	LW	100.00	56	50	65	57	69	60	58	54	51	57	56	57	51	55	53	0	50	60	24	925,000$/2yrs
Bobby Nardella	0	D	100.00	55	55	66	59	57	65	63	58	40	58	57	62	54	63	58	0	50	62	28	750,000$/1yrs
Mitch Reinke	0	D	100.00	54	54	67	58	59	65	62	58	40	59	54	59	54	63	58	0	50	61	28	750,000$/1yrs
Jason Demers	0	D	100.00	56	54	60	56	62	62	61	56	44	56	54	58	54	71	62	0	50	60	35	750,000$/1yrs

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
Calvin Pickard	0	100.00	63	65	66	64	68	61	67	66	59	61	63	73	63	0	50	65	32	762,500$/2yrs
Antoine Bibeau	0	100.00	57	59	59	69	65	55	66	59	58	58	60	69	60	0	50	62	29	750,000$/1yrs
Scratches
Malcolm Subban	0	100.00	60	62	63	66	66	58	66	62	59	59	63	71	61	0	50	63	30	850,000$/2yrs
Isaiah Saville	0	100.00	56	57	57	64	65	54	67	57	59	56	66	56	53	0	50	60	23	849,667$/2yrs
Calle Clang	0	100.00	51	52	52	64	62	51	64	52	54	52	63	49	48	0	50	56	21	925,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Alex Burrows	71	65	65	64	61	57	85	TUR	81	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	PKG	PKA	PKP	PKM	GW	GT	FO%	EG	HT	P/GP	PSG	PSS	GSAVG

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Salary

Player Name	POS	Age	Cap Hit	2023-24	2024-25	2025-26	2026-27
Alan Quine	C	31	750,000$	750,000$	UFA
Antoine Bibeau	G	29	750,000$	750,000$	UFA
Bobby Nardella	D	28	750,000$	750,000$	UFA
Brandon Davidson	D	32	750,000$	750,000$	UFA
Calle Clang	G	21	925,000$	925,000$	925,000$	RFA
Calvin Pickard	G	32	762,500$	762,500$	762,500$	UFA
Cameron Morrison	LW	25	750,000$	750,000$	RFA
Guillaume Brisebois	D	26	750,000$	750,000$	775,000$	775,000$	UFA
Hunter Mckown	C	21	1,366,667$	1,366,667$	1,366,667$	1,366,667$	RFA
Isaiah Saville	G	23	849,667$	849,667$	849,667$	RFA
Jack Badini	C/LW	26	750,000$	750,000$	RFA
Jacob Leguerrier	D	23	750,000$	750,000$	RFA
Jake Massie	D	27	750,000$	750,000$	UFA
Jason Demers	D	35	750,000$	750,000$	UFA
Jean-Sebastien Dea	C	30	762,500$	762,500$	762,500$	UFA
Jordan Frasca	C/LW	22	925,000$	925,000$	925,000$	925,000$	RFA
Justin Ducharme	C/LW	24	750,000$	750,000$	RFA
Linus Hogberg	D	25	750,000$	750,000$	RFA
Logan Shaw	C	31	750,000$	750,000$	UFA
Luke Henman	C	23	791,667$	791,667$	791,667$	RFA
Malcolm Subban	G	30	850,000$	850,000$	775,000$	UFA
Max Ellis	RW	24	838,750$	838,750$	838,750$	RFA
Mitch Reinke	D	28	750,000$	750,000$	UFA
Morgan Adams-Moisan	RW	27	775,000$	775,000$	UFA
Nick Swaney	RW	26	750,000$	775,000$	775,000$	UFA
Patrick Giles	C	24	750,000$	862,500$	862,500$	RFA
Pavol Regenda	LW	24	925,000$	925,000$	925,000$	RFA
Ryan Dzingel	C/LW/RW	32	750,000$	750,000$	UFA
Saku Maenalanen	LW/RW	29	775,000$	775,000$	UFA
Samuel Laberge	C/LW	27	750,000$	750,000$	775,000$	UFA
Taylor Fedun	D	35	762,500$	762,500$	762,500$	UFA
Tyler Sikura	C	31	750,000$	750,000$	UFA
Xavier Cormier	C	22	775,000$	775,000$	RFA

Lines

Forward Lines
# - Saku Maenalanen	# - Jean-Sebastien Dea	# - Max Ellis
# - Cameron Morrison	# - Tyler Sikura	# - Ryan Dzingel
# - Samuel Laberge	# - Morgan Adams-Moisan	# - Jack Badini
# - Tyler Sikura	# - Cameron Morrison	# - Saku Maenalanen

Defensive Pairings
# - Brandon Davidson	# - Taylor Fedun
# - Jacob Leguerrier	# - Guillaume Brisebois
# - Jake Massie	# - Linus Hogberg

1st Power Play Unit
# - Saku Maenalanen		# - Jean-Sebastien Dea		# - Samuel Laberge
# - Linus Hogberg			# - Taylor Fedun

2nd Power Play Unit
# - Cameron Morrison		# - Tyler Sikura		# - Ryan Dzingel
# - Jake Massie			# - Guillaume Brisebois

Goalies
# - Calvin Pickard		# - Antoine Bibeau

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	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	GF%	SH%	SV%	PDO	PDOBRK
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0	nan%	nan%	nan%	nan	Unlucky

	Puck Time
Offensive Zone	NAN
Neutral Zone	NAN
Defensive Zone	NAN

	Puck Time
Offensive Zone Start	0
Neutral Zone Start	0
Defensive Zone Start	0

	Puck Time
With Puck	NAN
Without Puck	NAN

	Faceoffs
Faceoffs Won	0
Faceoffs Lost	0

	Team Average Shots after	League Average Shots after
1st Period	nan	9.57
2nd Period	nan	20.31
3rd Period	nan	30.68
Overtime	nan	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	nan	0.64
2nd Period	nan	1.65
3rd Period	nan	2.67
Overtime	nan	2.83


Even Strenght Goal	0
PP Goal	0
PK Goal	0
Empty Net Goal	0

	Home	Away
Win	0	0
Lost	0	0
Overtime Lost	0	0


PP Attempt	0
PP Goal	0
PK Attempt	0
PK Goal Against	0

	Home
Shots For	nan
Shots Against	nan
Goals For	nan
Goals Against	nan
Hits	nan
Shots Blocked	nan
Pim	nan

Schedule

Date	Matchup			Result	Detail

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,647,176$	0$	0$	75,000,000$

Arena	About us
	Name
	City	W-B/Scranton
	Capacity	3000
	Season Ticket Holders	10%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	25$	15$	$	$	$
Attendance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
41	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,647,176$	2,633,426$	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$	9	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

TRANSACTIONS

Team Info


	Head Coach	Alex Burrows
	Division	METROPOLITAINE
	City	W-B/Scranton
	Stadium Capacity	3,000

W-B/Scranton Penguins Affiliation


	General Manager
	Head Coach	Pascal Vincent
	Stadium
	Capacity	17,000

Team Leaders

Expanded Player Leaderboard

Team Stats

Goals For 0 nan GFG	Goals Against 0 nan GAA
Power Play Percentage nan% 0 GF	Penalty Kill Percentage nan% 0 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain