Elite Simulated Hockey League - Today's Games Farm

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Full Scoreboard »»

Player	#	POS	CON	AGE	CONTRACT
Daniel Carr	0	LW	100.00	28	995,000$/2yrs
Kyle Clifford	13	LW	100.00	29
Brad Morrison	0	C	100.00	23	750,000$/1yrs
Drake Rymsha	0	C	100.00	21	750,000$/1yrs
Sheldon Rempal	0	RW	100.00	24	925,000$/1yrs
Nikolay Prokhorkin (R)	0	LW	100.00	26
Jonny Brodzinski	0	LW	100.00	26	755,000$/2yrs
Spencer Watson	0	RW	100.00	24	700,000$/1yrs
Hudson Fasching	14	RW	100.00	24	730,000$/1yrs
Bokondji Imama	0	LW	100.00	23
Maxim Lamarche	56	D	100.00	27
Daniel Brickley	0	D	100.00	25	975,000$/2yrs
Markus Phillips (R)	0	D	100.00	21	700,000$/2yrs
Alex Lintuniemi	0	D	100.00	24	725,000$/2yrs
Kurtis MacDermid	0	D	100.00	26
Jack Dougherty	0	D	100.00	23
Paul LaDue	2	D	100.00	27
Scratches
Austin Wagner	51	LW	100.00	22
Stepan Falkovsky	0	D	100.00	23
Chaz Reddekopp	0	D	100.00	23
Jacob Moverare (R)	0	D	100.00	21	700,000$/1yrs

	TEAM AVERAGE		100.00

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	AGE	CONTRACT
Scratches
Cole Kehler	0	100.00	22	800,000$/2yrs
Matt Villalta	0	100.00	20	775,000$/1yrs
Erik Kallgren	41	100.00	23	800,000$/1yrs

	TEAM AVERAGE	100.00

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

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

Game Center

TRANSACTIONS

Team Info

Reign Affiliation

Team Leaders

Team Stats

Team Captain - Alternate Captains

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20
Alex Lintuniemi	D	24	725,000$	725,000$	725,000$	RFA
Austin Wagner	LW	22	0$	RFA
Bokondji Imama	LW	23	0$	RFA
Brad Morrison	C	23	750,000$	750,000$	RFA
Chaz Reddekopp	D	23	0$	RFA
Cole Kehler	G	22	800,000$	800,000$	800,000$	RFA
Daniel Brickley	D	25	975,000$	975,000$	975,000$	RFA
Daniel Carr	LW	28	995,000$	995,000$	995,000$	UFA
Drake Rymsha	C	21	750,000$	750,000$	RFA
Erik Kallgren	G	23	800,000$	800,000$	RFA
Hudson Fasching	RW	24	730,000$	730,000$	RFA
Jack Dougherty	D	23	0$	RFA
Jacob Moverare	D	21	700,000$	700,000$	RFA
Jonny Brodzinski	LW	26	755,000$	755,000$	755,000$	UFA
Kurtis MacDermid	D	26	0$	RFA
Kyle Clifford	LW	29	0$	UFA
Markus Phillips	D	21	700,000$	700,000$	700,000$	RFA
Matt Villalta	G	20	775,000$	775,000$	RFA
Maxim Lamarche	D	27	0$	UFA
Nikolay Prokhorkin	LW	26	0$	RFA
Paul LaDue	D	27	0$	UFA
Sheldon Rempal	RW	24	925,000$	925,000$	RFA
Spencer Watson	RW	24	700,000$	700,000$	RFA
Stepan Falkovsky	D	23	0$	RFA

Forward Lines
# - Brad Morrison	# - Jonny Brodzinski
# - Daniel Carr
# - Sheldon Rempal
# - Daniel Carr

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

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

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
911,000$	0$	0$	75,000,000$

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	5000	3000
Ticket Price	25$	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
38	0 - 0.00%	0$	0$	8000	110

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
911,000$	911,000$	0$	0$

	Puck Time
With Puck	NAN
Without Puck	NAN

	Faceoffs
Faceoffs Won	0
Faceoffs Lost	0


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

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$