Quebec National Hockey League - Today's Games Farm

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Full Scoreboard »»

Player	#	POS	CON	AGE	CONTRACT
Jack Quinn	22	RW	100.00	22	950,000$/2yrs
Jake Leschyshyn	0	C	100.00	25	950,000$/1yrs
Jakub Lauko (R)	0	C	100.00	24	950,000$/2yrs
Jordan Gross	0	D	100.00	28	1,500,000$/2yrs
Andreas Englund	0	D	100.00	28	1,300,000$/4yrs
Jake Christiansen	0	D	100.00	24	1,750,000$/1yrs
Scratches

	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
Arturs Silovs	0	100.00	23	2,000,000$/2yrs
Scratches

	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

Hartford Wolf Pack Affiliation

Team Leaders

Team Stats

Team Captain - Alternate Captains

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21
Andreas Englund	D	28	1,300,000$	1,300,000$	1,300,000$	1,300,000$	1,300,000$
Arturs Silovs	G	23	2,000,000$	2,000,000$	2,000,000$
Jack Quinn	RW	22	950,000$	950,000$	950,000$
Jake Christiansen	D	24	1,750,000$	1,750,000$
Jake Leschyshyn	C	25	950,000$	950,000$
Jakub Lauko	C	24	950,000$	950,000$	950,000$
Jordan Gross	D	28	1,500,000$	1,500,000$	1,500,000$

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

	Team Average Shots after	League Average Shots after
1st Period	0.0	9.57
2nd Period	0.0	20.31
3rd Period	0.0	30.68
Overtime	0.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.0	0.64
2nd Period	0.0	1.65
3rd Period	0.0	2.67
Overtime	0.0	2.83

	Home
Shots For	0.0
Shots Against	0.0
Goals For	0.0
Goals Against	0.0
Hits	0.0
Shots Blocked	0.0
Pim	0.0

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
940,000$	0$	0$	75,000,000$

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
0	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
940,000$	940,000$	0$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

	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


PP Attempt	0
PP Goal	0
PK Attempt	0
PK Goal Against	0

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	0$	0$