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
J.J. Peterka (R)	21	RW	100.00	64	46	79	72	71	68	72	64	55	71	65	65	56	56	56	0	50	69	21	894,167$/3yrs
Juraj Slafkovsky (R)	0	LW	100.00	67	38	76	60	91	61	60	56	52	68	58	66	51	52	55	0	50	66	19	4,450,000$/3yrs
Joey Anderson	18	RW	100.00	62	52	78	59	73	63	62	59	54	62	63	65	57	59	56	0	50	65	25	750,000$/2yrs
Connor McMichael	15	C	100.00	58	55	76	64	63	64	66	60	68	62	61	63	61	55	54	0	50	64	22	863,333$/2yrs
Vasili Ponomaryov (R)	0	C	100.00	55	55	67	59	59	63	62	60	70	57	61	59	54	53	52	0	50	62	21	830,000$/3yrs
Filip Hallander	20	C	100.00	55	56	67	60	65	63	62	59	55	57	58	61	54	56	54	0	50	62	23	913,333$/1yrs
Oskar Back	80	C	100.00	54	54	68	58	67	67	64	58	70	58	56	63	54	56	54	0	50	62	23	925,000$/2yrs
Samuel Houde	76	C	100.00	55	59	66	57	58	64	63	56	70	56	58	59	54	56	54	0	50	61	23	750,000$/1yrs
Viktor Lodin (R)	92	C/LW	100.00	55	55	67	56	65	58	58	56	55	56	56	60	56	58	55	0	50	60	24	830,000$/1yrs
Antonio Stranges (R)	0	C	100.00	54	55	64	55	58	57	56	55	65	55	55	59	56	54	53	0	50	59	21	893,333$/3yrs
Brandon Coe (R)	0	C	100.00	55	55	63	55	62	62	60	56	55	55	55	55	54	55	53	0	50	59	21	925,000$/1yrs
Jake Sanderson (R)	0	D	100.00	61	38	85	80	70	84	73	61	38	72	56	85	51	54	55	0	50	73	21	1,850,000$/9yrs
Arber Xhekaj	0	D	100.00	77	83	69	69	89	68	67	57	38	68	59	71	51	53	55	0	50	69	22	828,333$/2yrs
Cam Dineen	54	D	100.00	56	53	75	64	64	69	64	61	40	64	56	65	54	59	57	0	50	65	25	750,000$/2yrs
Louie Belpedio	47	D	100.00	56	54	62	62	63	68	66	58	40	58	57	61	54	63	58	0	50	63	27	750,000$/3yrs
Scott Perunovich	4	D	100.00	57	50	72	62	60	62	57	58	40	62	55	65	54	59	57	0	50	63	25	750,000$/2yrs
Corey Schueneman	8	D	100.00	55	53	68	59	65	65	63	57	40	58	56	63	54	65	59	0	50	62	28	750,000$/2yrs
Scratches
Vladislav Firstov (R)	0	C/LW	100.00	54	54	68	54	61	54	54	54	55	54	54	61	54	55	53	0	50	58	22	750,000$/2yrs
Dominik Bokk	96	C	100.00	52	54	64	54	59	57	56	52	52	52	52	59	51	52	50	0	50	57	23	1,075,833$/1yrs
Alexander Kisakov (R)	0	RW	100.00	52	52	63	53	49	60	59	52	52	51	53	56	57	51	49	0	50	56	20	925,000$/3yrs
Samu Tuomaala (R)	0	C	100.00	51	51	65	51	55	51	51	51	52	51	51	59	51	48	48	0	50	55	20	863,333$/3yrs
Madison Bowey	6	D	100.00	56	56	65	57	66	62	61	57	40	56	56	62	54	65	59	0	50	62	28	750,000$/1yrs
Jacob Bernard-Docker (R)	91	D	100.00	58	58	70	58	65	66	61	54	40	58	55	67	54	56	54	0	50	62	23	1,208,333$/3yrs
Brandt Clarke (R)	0	D	100.00	57	43	66	62	64	62	53	51	38	65	51	64	51	50	52	0	50	61	20	1,713,333$/3yrs
Matthew Robertson	61	D	100.00	55	56	65	60	67	65	63	57	40	57	55	60	54	55	53	0	50	61	22	896,667$/2yrs
Spencer Stastney (R)	0	D	100.00	55	53	68	56	61	62	60	55	40	57	55	62	54	56	54	0	50	60	23	925,000$/1yrs
Axel Andersson	90	D	100.00	55	54	67	55	60	60	59	55	40	55	54	61	54	56	54	0	50	59	23	871,667$/1yrs
Daemon Hunt (R)	0	D	100.00	54	54	63	56	62	62	60	55	44	55	55	59	54	54	53	0	50	59	21	902,500$/2yrs
Jack St.Ivany (R)	0	D	100.00	52	51	63	54	64	63	61	52	38	53	51	54	51	56	52	0	50	57	25	950,000$/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
Spencer Knight	33	100.00	74	69	69	83	90	74	80	71	84	72	80	57	55	0	50	77	22	2,491,667$/4yrs
Keith Petruzzelli	31	100.00	67	66	67	86	66	65	67	66	65	67	66	63	69	0	50	68	24	817,500$/2yrs
Scratches
Anton Khudobin	0	100.00	61	59	60	64	64	66	65	62	58	59	69	79	68	0	50	64	37	3,333,333$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Rod Brind'Amour	82	95	89	83	77	72	73	CAN	53	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	2027-28	2028-29	2029-30	2030-31
Alexander Kisakov	RW	20	925,000$	925,000$	925,000$	925,000$	RFA
Anton Khudobin	G	37	3,333,333$	3,333,333$	UFA
Antonio Stranges	C	21	893,333$	893,333$	893,333$	893,333$	RFA
Arber Xhekaj	D	22	828,333$	828,333$	828,333$	RFA
Axel Andersson	D	23	871,667$	871,667$	RFA
Brandon Coe	C	21	925,000$	925,000$	RFA
Brandt Clarke	D	20	1,713,333$	1,713,333$	1,713,333$	1,713,333$	RFA
Cam Dineen	D	25	750,000$	750,000$	775,000$	RFA
Connor McMichael	C	22	863,333$	863,333$	863,333$	RFA
Corey Schueneman	D	28	750,000$	750,000$	775,000$	UFA
Daemon Hunt	D	21	902,500$	902,500$	902,500$	RFA
Dominik Bokk	C	23	1,075,833$	1,075,833$	RFA
Filip Hallander	C	23	913,333$	913,333$	RFA
J.J. Peterka	RW	21	894,167$	894,167$	894,167$	894,167$	RFA
Jack St.Ivany	D	25	950,000$	950,000$	950,000$	RFA
Jacob Bernard-Docker	D	23	1,208,333$	1,208,333$	805,000$	805,000$	RFA
Jake Sanderson	D	21	1,850,000$	1,850,000$	8,050,000$	8,050,000$	8,050,000$	8,050,000$	8,050,000$	8,050,000$	8,050,000$
Joey Anderson	RW	25	750,000$	750,000$	800,000$	RFA
Juraj Slafkovsky	LW	19	4,450,000$	4,450,000$	4,450,000$	4,450,000$	RFA
Keith Petruzzelli	G	24	817,500$	817,500$	817,500$	RFA
Louie Belpedio	D	27	750,000$	750,000$	775,000$	775,000$	UFA
Madison Bowey	D	28	750,000$	750,000$	UFA
Matthew Robertson	D	22	896,667$	896,667$	896,667$	RFA
Oskar Back	C	23	925,000$	925,000$	925,000$	RFA
Samu Tuomaala	C	20	863,333$	863,333$	863,333$	863,333$	RFA
Samuel Houde	C	23	750,000$	750,000$	RFA
Scott Perunovich	D	25	750,000$	750,000$	775,000$	RFA
Spencer Knight	G	22	2,491,667$	2,491,667$	4,500,000$	4,500,000$	4,500,000$	RFA
Spencer Stastney	D	23	925,000$	925,000$	RFA
Vasili Ponomaryov	C	21	830,000$	830,000$	830,000$	830,000$	RFA
Viktor Lodin	C/LW	24	830,000$	830,000$	RFA
Vladislav Firstov	C/LW	22	750,000$	925,000$	925,000$	RFA

Lines

Forward Lines

Defensive Pairings

1st Power Play Unit

2nd Power Play Unit

Goalies

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

Arena	About us
	Name
	City	Iowa
	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	Rod Brind'Amour
	Division	CENTRALE
	City	Iowa
	Stadium Capacity	3,000

Iowa Wild Affiliation


	General Manager
	Head Coach	Scotty Bowman
	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