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
Jack Quinn (R)	22	RW	100.00	65	64	83	67	67	66	71	65	56	72	68	68	74	56	56	0	50	70	22	1,713,333$/3yrs
Josh Dunne	2	C	100.00	56	58	64	60	70	65	63	58	69	57	60	59	55	60	56	0	50	63	24	874,125$/2yrs
Bryce Kindopp	9	RW	100.00	54	54	66	58	63	67	64	56	55	56	57	58	54	58	55	0	50	61	24	925,000$/1yrs
Cole Guttman (R)	0	C	100.00	55	50	68	58	55	61	56	57	68	58	60	59	57	55	53	0	50	61	24	950,000$/1yrs
Adam Raska	6	RW	100.00	57	53	61	57	60	64	63	56	55	56	55	60	54	55	53	0	50	60	22	900,000$/2yrs
Milos Kelemen	0	LW	100.00	55	58	65	55	68	62	60	55	51	56	56	56	51	55	53	0	50	60	24	817,500$/2yrs
Brett Kemp	0	C	100.00	56	54	68	54	61	55	55	54	66	54	54	61	54	56	54	0	50	59	23	750,000$/1yrs
Pierrick Dube	0	RW	100.00	52	55	63	58	53	59	58	56	52	54	57	59	54	52	50	0	50	59	22	950,000$/3yrs
Oskar Olausson (R)	0	RW	100.00	52	56	63	58	59	63	61	54	52	53	55	55	51	51	49	0	50	58	20	863,333$/3yrs
Ryder Korczak (R)	0	C	100.00	51	51	65	52	55	52	52	51	67	51	51	56	51	51	49	0	50	55	21	925,000$/2yrs
Dylan Samberg	0	D	100.00	67	62	79	64	81	68	69	57	40	66	58	81	54	57	57	0	50	69	24	1,175,000$/3yrs
Brayden Pachal	10	D	100.00	59	53	62	60	66	66	64	56	40	58	55	63	54	58	55	0	50	62	24	750,000$/3yrs
Luke Martin (R)	0	D	100.00	55	54	67	55	70	58	58	55	40	55	54	62	54	60	56	0	50	60	25	750,000$/1yrs
Alex Kannok Leipert	17	D	100.00	63	39	74	55	72	65	69	54	30	53	52	56	45	62	64	0	50	60	23	750,000$/1yrs
Jake Livingstone	0	D	100.00	54	38	70	52	75	68	54	50	38	57	50	66	51	51	55	0	50	60	24	2,130,000$/3yrs
Zack Hayes	5	D	100.00	55	54	62	55	65	60	59	55	44	55	55	58	54	58	55	0	50	59	24	805,000$/1yrs
Mason Lohrei (R)	0	D	100.00	52	51	65	51	66	52	52	51	38	51	51	57	51	52	50	0	50	56	22	1,050,000$/3yrs
Scratches
Chris Tierney	0	C	100.00	65	44	83	64	70	62	75	60	72	68	60	68	57	71	60	0	50	67	29	750,000$/1yrs
Zach Sanford	12	LW	100.00	65	58	75	60	72	66	73	59	61	62	60	64	55	66	60	0	50	65	28	850,000$/1yrs
Taro Hirose	67	LW	100.00	54	58	67	61	56	67	64	62	55	61	59	60	55	63	58	0	50	63	27	850,000$/2yrs
Brandon Biro	8	C	100.00	54	58	67	58	57	63	62	61	66	60	59	62	54	60	56	0	50	63	25	763,889$/2yrs
Joe Snively	92	C	100.00	57	54	73	59	61	61	58	58	55	61	59	65	56	61	58	0	50	63	27	800,000$/2yrs
Peter Abbandonato	50	C	100.00	54	56	67	60	62	65	63	61	70	60	57	61	54	60	56	0	50	63	25	750,000$/1yrs
Hudson Elynuik	0	C	100.00	57	56	63	57	68	63	62	57	55	56	56	61	54	62	57	0	50	61	25	750,000$/1yrs
Brayden Burke	33	C/LW	100.00	55	54	67	56	57	58	57	56	55	56	55	61	54	62	57	0	50	60	26	750,000$/1yrs
Tye Felhaber	0	C/LW	100.00	54	54	68	56	60	58	57	55	55	55	56	60	54	60	56	0	50	60	25	750,000$/1yrs
Christian Wolanin	86	D	100.00	56	53	70	61	65	65	60	60	40	63	55	64	54	64	59	0	50	64	28	750,000$/3yrs
Joshua Anderson	0	D	100.00	80	43	83	51	89	60	65	51	30	50	54	57	45	65	63	0	50	61	25	750,000$/1yrs

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Priority	Type	Description
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2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
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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.
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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
Jiri Patera	0	100.00	60	61	61	67	66	56	66	63	59	59	58	58	54	0	50	63	24	800,000$/2yrs
Jett Alexander	0	100.00	67	52	52	86	58	63	52	68	62	53	53	52	52	0	50	62	23	775,000$/1yrs
Scratches
Tommy Nappier	0	100.00	56	56	56	69	65	55	67	56	58	56	64	60	55	0	50	60	25	750,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Chris Niel	75	75	75	75	75	75	75	Can	44	5	0$

General Manager

Player Stats

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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

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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
Adam Raska	RW	22	900,000$	900,000$	900,000$	RFA
Alex Kannok Leipert	D	23	750,000$	750,000$	RFA
Brandon Biro	C	25	763,889$	762,500$	762,500$	UFA
Brayden Burke	C/LW	26	750,000$	750,000$	UFA
Brayden Pachal	D	24	750,000$	750,000$	775,000$	775,000$	RFA
Brett Kemp	C	23	750,000$	750,000$	RFA
Bryce Kindopp	RW	24	925,000$	925,000$	RFA
Chris Tierney	C	29	750,000$	750,000$	UFA
Christian Wolanin	D	28	750,000$	750,000$	775,000$	775,000$	UFA
Cole Guttman	C	24	950,000$	950,000$	RFA
Dylan Samberg	D	24	1,175,000$	1,175,000$	1,400,000$	1,400,000$	UFA
Hudson Elynuik	C	25	750,000$	750,000$	RFA
Jack Quinn	RW	22	1,713,333$	1,713,333$	1,713,333$	1,713,333$	RFA
Jake Livingstone	D	24	2,130,000$	2,130,000$	775,000$	775,000$	UFA
Jett Alexander	G	23	775,000$	775,000$	RFA
Jiri Patera	G	24	800,000$	800,000$	775,000$	RFA
Joe Snively	C	27	800,000$	800,000$	800,000$	UFA
Josh Dunne	C	24	874,125$	874,125$	775,000$	RFA
Joshua Anderson	D	25	750,000$	750,000$	RFA
Luke Martin	D	25	750,000$	750,000$	RFA
Mason Lohrei	D	22	1,050,000$	1,050,000$	1,050,000$	1,050,000$	RFA
Milos Kelemen	LW	24	817,500$	817,500$	817,500$	RFA
Oskar Olausson	RW	20	863,333$	863,333$	863,333$	863,333$	RFA
Peter Abbandonato	C	25	750,000$	750,000$	RFA
Pierrick Dube	RW	22	950,000$	950,000$	950,000$	950,000$	RFA
Ryder Korczak	C	21	925,000$	925,000$	925,000$	RFA
Taro Hirose	LW	27	850,000$	850,000$	850,000$	UFA
Tommy Nappier	G	25	750,000$	750,000$	RFA
Tye Felhaber	C/LW	25	750,000$	750,000$	RFA
Zach Sanford	LW	28	850,000$	850,000$	UFA
Zack Hayes	D	24	805,000$	805,000$	RFA

Lines

Forward Lines

Defensive Pairings

1st Power Play Unit

2nd Power Play Unit

Goalies

Team Stats

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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
0$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	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
0$	0$	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

TRANSACTIONS

Team Info


	Head Coach	Chris Niel
	Division	ATLANTIQUE
	City	Binghamton
	Stadium Capacity	3,000

Binghamton Senateurs Affiliation


	General Manager
	Head Coach	Jacques Mercier
	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