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
Paul Cotter	43	C/LW	100.00	77	63	81	67	78	66	70	61	56	66	68	64	61	56	57	0	50	69	24	796,667$/4yrs
Zack Macewen	81	C/RW	100.00	83	81	80	64	78	61	83	58	59	69	60	66	54	59	58	0	50	68	27	925,000$/1yrs
Jeffrey Viel (A)	96	LW	100.00	66	67	58	60	71	63	64	58	54	59	59	63	54	60	57	0	50	64	27	750,000$/2yrs
Thomas Bordeleau	23	C	100.00	58	50	75	61	61	69	61	59	59	65	60	58	66	54	54	0	50	64	22	925,000$/2yrs
Valtteri Puustinen (R)	76	RW	100.00	55	60	66	64	59	68	66	63	55	60	62	58	54	58	55	0	50	64	24	925,000$/2yrs
Otto Koivula (R)	21	LW	100.00	56	56	66	59	74	63	62	59	69	59	58	61	54	60	56	0	50	63	25	800,000$/2yrs
Adam Beckman	83	LW	100.00	55	56	69	64	63	66	62	59	54	58	61	61	56	55	53	0	50	63	22	894,167$/2yrs
Jonas Rondbjerg (R)	64	RW	100.00	55	56	70	61	66	62	61	57	54	58	58	62	54	58	55	0	50	62	25	871,250$/3yrs
Aidan Mcdonough (R)	54	LW	100.00	54	38	71	52	67	63	54	50	48	64	60	58	51	51	55	0	50	61	24	925,000$/2yrs
Grant Mismash (R)	56	C/LW	100.00	55	54	67	55	61	58	57	55	55	54	55	60	54	58	55	0	50	59	25	925,000$/1yrs
Tuukka Tieksola (R)	61	RW	100.00	52	51	64	53	51	61	59	55	52	54	54	58	54	52	50	0	50	58	22	843,333$/1yrs
Joakim Kemell (R)	75	RW	100.00	54	54	63	53	57	54	53	53	52	52	53	56	51	48	48	0	50	56	19	750,000$/4yrs
Connor Carrick (C)	58	D	100.00	55	56	64	62	63	66	64	60	40	60	56	63	54	67	60	0	50	63	30	750,000$/2yrs
Marcus Bjork	47	D	100.00	59	47	63	57	69	66	58	55	38	60	55	64	51	56	54	0	50	62	26	750,000$/2yrs
Declan Chisholm	45	D	100.00	55	57	66	59	63	65	63	60	40	60	56	59	54	56	54	0	50	62	24	825,000$/2yrs
Artemi Kniazev (R)	52	D	100.00	55	55	65	61	60	66	64	59	40	58	56	59	54	55	53	0	50	62	23	905,000$/2yrs
Filip Roos	84	D	100.00	55	48	69	59	63	62	56	53	38	57	53	63	51	54	53	0	50	60	25	925,000$/2yrs
Kim Nousiainen (R)	72	D	100.00	54	54	68	55	57	59	59	55	40	55	55	60	54	56	54	0	50	59	23	925,000$/2yrs
Scratches
Alexis Lafreniere (A)	13	LW/RW	100.00	77	64	83	63	75	71	87	66	55	74	69	67	71	60	58	0	50	72	22	3,775,000$/3yrs
Fredrik Olofsson	19	LW	100.00	56	47	73	58	65	57	57	53	51	59	53	63	51	57	55	0	50	60	27	750,000$/2yrs
Egor Afanasyev (R)	70	LW	100.00	56	50	68	58	68	61	59	54	51	56	56	59	51	52	51	0	50	60	23	896,667$/2yrs
Pontus Andreasson	65	C/LW	100.00	52	55	63	55	56	63	61	55	52	53	56	53	51	58	53	0	50	58	25	925,000$/1yrs
Chaz Lucius (R)	97	C	100.00	52	51	65	52	59	53	53	52	67	52	52	57	51	49	48	0	50	56	20	1,294,167$/4yrs
Karel Plasek (R)	67	C	100.00	52	51	65	51	58	52	52	51	52	51	51	59	51	52	50	0	50	55	23	851,667$/1yrs
Thomas Harley	55	D	85.73	58	50	74	65	70	67	63	58	40	62	57	68	54	55	54	0	50	65	22	1,288,333$/2yrs
Austin Strand	48	D	100.00	56	53	65	58	70	64	62	55	40	56	55	57	54	62	57	0	50	61	27	750,000$/1yrs
Michael Karow	78	D	100.00	55	54	67	56	66	60	59	55	40	56	54	62	54	60	56	0	50	60	25	750,000$/1yrs
Shakir Mukhamadullin (R)	8	D	100.00	52	51	65	52	62	53	53	53	38	53	51	57	51	51	49	0	50	56	22	1,294,167$/3yrs

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
Dustin Tokarski	31	100.00	65	66	67	67	72	62	70	65	67	66	68	72	62	0	50	68	34	775,000$/2yrs
Jussi Olkinuora	1	100.00	53	55	55	64	62	53	63	54	54	54	63	73	62	0	50	58	33	750,000$/1yrs
Scratches
Luke Richardson	2	100.00	51	52	52	67	61	51	63	52	54	52	62	55	51	0	50	56	24	775,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kirk Muller	68	72	71	65	84	78	64	CAN	50	4	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
Adam Beckman	LW	22	894,167$	894,167$	894,167$	RFA
Aidan Mcdonough	LW	24	925,000$	925,000$	925,000$	RFA
Alexis Lafreniere	LW/RW	22	3,775,000$	3,775,000$	2,325,000$	2,325,000$	RFA
Artemi Kniazev	D	23	905,000$	905,000$	905,000$	RFA
Austin Strand	D	27	750,000$	750,000$	UFA
Chaz Lucius	C	20	1,294,167$	1,294,167$	1,294,167$	1,294,167$	1,294,167$	RFA
Connor Carrick	D	30	750,000$	750,000$	775,000$	UFA
Declan Chisholm	D	24	825,000$	825,000$	775,000$	RFA
Dustin Tokarski	G	34	775,000$	775,000$	775,000$	UFA
Egor Afanasyev	LW	23	896,667$	896,667$	896,667$	RFA
Filip Roos	D	25	925,000$	925,000$	925,000$	RFA
Fredrik Olofsson	LW	27	750,000$	750,000$	775,000$	UFA
Grant Mismash	C/LW	25	925,000$	925,000$	RFA
Jeffrey Viel	LW	27	750,000$	750,000$	775,000$	UFA
Joakim Kemell	RW	19	750,000$	1,450,000$	1,418,333$	1,418,333$	1,418,333$	RFA
Jonas Rondbjerg	RW	25	871,250$	766,667$	766,667$	766,667$	UFA
Jussi Olkinuora	G	33	750,000$	750,000$	UFA
Karel Plasek	C	23	851,667$	851,667$	RFA
Kim Nousiainen	D	23	925,000$	925,000$	925,000$	RFA
Luke Richardson	G	24	775,000$	775,000$	RFA
Marcus Bjork	D	26	750,000$	775,000$	775,000$	UFA
Michael Karow	D	25	750,000$	750,000$	RFA
Otto Koivula	LW	25	800,000$	800,000$	800,000$	RFA
Paul Cotter	C/LW	24	796,667$	796,667$	775,000$	775,000$	775,000$	UFA
Pontus Andreasson	C/LW	25	925,000$	925,000$	RFA
Shakir Mukhamadullin	D	22	1,294,167$	1,294,167$	1,294,167$	1,294,167$	RFA
Thomas Bordeleau	C	22	925,000$	925,000$	925,000$	RFA
Thomas Harley	D	22	1,288,333$	1,288,333$	1,288,333$	RFA
Tuukka Tieksola	RW	22	843,333$	843,333$	RFA
Valtteri Puustinen	RW	24	925,000$	925,000$	775,000$	RFA
Zack Macewen	C/RW	27	925,000$	925,000$	UFA

Lines

Forward Lines
# - Jeffrey Viel	# - Paul Cotter	# - Valtteri Puustinen
# - Adam Beckman	# - Thomas Bordeleau	# - Jonas Rondbjerg
# - Otto Koivula	# - Zack Macewen	# - Joakim Kemell
# - Aidan Mcdonough	# - Grant Mismash	# - Tuukka Tieksola

Defensive Pairings
# - Connor Carrick	# - Marcus Bjork
# - Artemi Kniazev	# - Declan Chisholm
# - Filip Roos	# - Kim Nousiainen

1st Power Play Unit
# - Jeffrey Viel		# - Paul Cotter		# - Zack Macewen
# - Connor Carrick			# - Marcus Bjork

2nd Power Play Unit
# - Adam Beckman		# - Thomas Bordeleau		# - Valtteri Puustinen
# - Artemi Kniazev			# - Declan Chisholm

Goalies
# - Jussi Olkinuora		# - Dustin Tokarski

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
3,090,585$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	33$	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
3,090,585$	3,028,543$	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$	14	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	Kirk Muller
	Division	CENTRALE
	City	Tucson
	Stadium Capacity	3,000

Roadrunners Affiliation


	General Manager
	Head Coach	Sheldon Keefe
	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