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
Egor Sokolov	75	LW	100.00	79	81	87	64	88	86	85	63	54	61	62	59	65	63	64	0	50	70	22	850,000$/2yrs
Brandon Pirri	73	C/LW/RW	100.00	64	42	85	66	73	80	78	63	75	64	65	62	67	78	69	0	50	69	32	957,000$/1yrs
C.J. Smith	17	LW	100.00	76	36	94	65	70	86	79	62	59	63	62	61	63	68	70	0	50	69	28	800,000$/2yrs
Michael Chaput	62	C	100.00	72	39	82	60	81	74	83	59	77	60	56	64	58	70	72	0	50	68	31	839,000$/1yrs
Tomas Jurco	83	LW/RW	100.00	55	35	94	67	80	77	70	68	62	63	62	57	66	77	69	0	50	68	30	750,000$/1yrs
Luke Johnson	41	C	100.00	74	38	82	60	67	86	70	61	80	62	63	64	59	68	70	0	50	68	28	869,000$/1yrs
Austin Poganski	72	RW	100.00	72	39	89	61	77	78	87	59	57	60	58	61	59	66	68	0	50	67	27	850,000$/2yrs
Remi Elie	6	LW	100.00	75	38	92	60	82	87	77	59	62	58	61	57	61	67	69	0	50	67	28	1,018,000$/1yrs
Cole Koepke	45	LW	100.00	68	31	70	58	77	95	93	59	62	58	60	57	61	64	66	0	50	67	25	925,000$/2yrs
Blake Speers	39	C/RW	100.00	70	37	82	62	69	75	78	62	73	60	61	65	62	65	67	0	50	67	26	850,000$/1yrs
Jackson Cates	59	C	100.00	63	36	85	62	72	75	74	61	73	60	62	59	62	65	67	0	50	66	25	862,500$/2yrs
Cal Foote	52	D	100.00	78	43	88	67	92	81	89	66	30	65	59	62	53	64	66	0	50	71	24	956,250$/2yrs
Carl Dahlstrom	48	D	100.00	85	73	91	60	95	79	74	55	30	67	58	63	51	67	69	0	50	70	28	1,205,500$/2yrs
Nikita Nesterov	89	D	100.00	74	34	83	64	71	85	73	66	30	67	55	63	52	75	68	0	50	69	30	1,250,000$/1yrs
Dan Renouf	44	D	100.00	72	45	74	59	83	76	84	57	30	66	58	62	53	68	70	0	50	68	29	869,000$/3yrs
Jacob MacDonald	9	D	100.00	66	34	88	64	76	87	72	57	30	70	59	62	51	69	71	0	50	68	30	908,333$/3yrs
Ben Gleason	63	D	100.00	64	38	77	62	73	76	94	61	30	65	56	55	48	64	66	0	50	67	25	850,000$/2yrs
Otto Leskinen	47	D	100.00	80	35	95	63	70	78	77	61	30	62	57	58	49	67	64	0	50	67	26	800,000$/2yrs
Scratches
Chase Pearson	46	C	100.00	63	39	89	60	84	77	78	59	73	58	57	60	63	65	67	0	50	66	25	904,416$/2yrs
Jean-Luc Foudy	93	C	100.00	59	36	84	66	70	78	82	63	71	60	56	57	63	61	62	0	50	65	21	894,167$/4yrs
Shane Gersich	63	LW	100.00	61	39	72	58	70	82	92	57	55	58	59	56	58	66	68	0	50	65	26	975,000$/1yrs
Hugh McGing	56	C/LW	100.00	62	37	85	58	62	77	89	57	58	59	57	52	57	64	66	0	50	63	24	837,500$/2yrs
Graham McPhee	37	LW	100.00	56	38	85	54	69	77	61	55	59	56	57	53	56	64	66	0	50	61	24	750,000$/1yrs
Jordan Schmaltz	2	D	100.00	71	46	82	54	80	76	81	54	30	57	54	57	46	75	71	0	50	65	29	962,000$/1yrs
Parker Wotherspoon	38	D	100.00	63	45	57	60	69	76	82	57	30	60	53	52	46	65	67	0	50	64	25	764,500$/2yrs
Wyatte Wylie	65	D	100.00	63	38	87	58	72	69	87	55	30	57	54	55	45	63	65	0	50	63	23	812,500$/2yrs
Jacob Friend	3	D	100.00	65	46	56	54	76	63	61	53	30	52	54	56	45	65	67	0	50	61	25	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
Troy Grosenick	29	100.00	75	73	72	76	74	73	75	74	73	75	74	73	87	0	50	77	33	825,000$/2yrs
Kevin Boyle	34	100.00	70	80	78	75	69	68	70	69	68	70	69	77	83	0	50	74	31	750,000$/1yrs
Scratches
Pat Nagle	1	100.00	71	72	71	74	70	69	71	70	69	71	70	75	89	0	50	74	35	1,130,000$/1yrs
Evan Cormier	34	100.00	71	69	70	83	70	69	71	70	69	71	70	66	73	0	50	73	25	750,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bruce Cassidy	86	93	85	79	85	79	63	CAN	57	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	2017-18	2018-19	2019-20	2020-21	2021-22
Austin Poganski	RW	27	850,000$	950,000$	750,000$	UFA
Ben Gleason	D	25	850,000$	950,000$	750,000$	UFA
Blake Speers	C/RW	26	850,000$	850,000$	UFA
Brandon Pirri	C/LW/RW	32	957,000$	957,000$	UFA
C.J. Smith	LW	28	800,000$	850,000$	750,000$	UFA
Cal Foote	D	24	956,250$	1,062,500$	850,000$	UFA
Carl Dahlstrom	D	28	1,205,500$	1,661,000$	750,000$	UFA
Chase Pearson	C	25	904,416$	891,000$	917,831$	UFA
Cole Koepke	LW	25	925,000$	925,000$	925,000$	UFA
Dan Renouf	D	29	869,000$	1,082,000$	762,500$	762,500$	UFA
Egor Sokolov	LW	22	850,000$	850,000$	850,000$	UFA
Evan Cormier	G	25	750,000$	750,000$	750,000$	UFA
Graham McPhee	LW	24	750,000$	750,000$	UFA
Hugh McGing	C/LW	24	837,500$	925,000$	750,000$	UFA
Jackson Cates	C	25	862,500$	950,000$	775,000$	UFA
Jacob Friend	D	25	750,000$	750,000$	UFA
Jacob MacDonald	D	30	908,333$	1,200,000$	762,500$	762,500$	UFA
Jean-Luc Foudy	C	21	894,167$	894,167$	894,167$	894,167$	894,167$	UFA
Jordan Schmaltz	D	29	962,000$	962,000$	UFA
Kevin Boyle	G	31	750,000$	750,000$	UFA
Luke Johnson	C	28	869,000$	869,000$	UFA
Michael Chaput	C	31	839,000$	839,000$	UFA
Nikita Nesterov	D	30	1,250,000$	1,250,000$	UFA
Otto Leskinen	D	26	800,000$	850,000$	750,000$	UFA
Parker Wotherspoon	D	25	764,500$	779,000$	750,000$	UFA
Pat Nagle	G	35	1,130,000$	1,130,000$	UFA
Remi Elie	LW	28	1,018,000$	1,018,000$	UFA
Shane Gersich	LW	26	975,000$	975,000$	UFA
Tomas Jurco	LW/RW	30	750,000$	750,000$	UFA
Troy Grosenick	G	33	825,000$	900,000$	750,000$	UFA
Wyatte Wylie	D	23	812,500$	750,000$	875,000$	UFA

Lines

Forward Lines
# - C.J. Smith	# - Egor Sokolov	# - Brandon Pirri
# - Tomas Jurco	# - Michael Chaput	# - Blake Speers
# - Cole Koepke	# - Luke Johnson	# - Austin Poganski
# - Remi Elie	# - Egor Sokolov	# - Brandon Pirri

Defensive Pairings
# - Nikita Nesterov	# - Cal Foote
# - Carl Dahlstrom	# - Dan Renouf
# - Jacob MacDonald	# - Ben Gleason

1st Power Play Unit
# - Cole Koepke		# - Egor Sokolov		# - Brandon Pirri
# - Jacob MacDonald			# - Cal Foote

2nd Power Play Unit
# - Tomas Jurco		# - Michael Chaput		# - Blake Speers
# - Carl Dahlstrom			# - Dan Renouf

Goalies
# - Kevin Boyle

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
2,906,967$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	20$	10$	$	$	$
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
2,906,967$	2,751,467$	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	Bruce Cassidy
	Division	PACIFIQUE
	City	Ontario
	Stadium Capacity	3,000

Reign Affiliation


	General Manager
	Head Coach	Jared Bednar
	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