Ligue Hockey General Manager Québec

Pick #1

Gavin Mckenna

Pick #2

Ivar Stenberg

Pick #3

Chase Reid

Pick #4

Caleb Malhotra

Pick #5

Carson Carels

Pick #6

Alberts Smits

Pick #7

Viggo Bjorck

Pick #8

Wyatt Cullen

Pick #9

Keaton Verhoeff

Pick #10

Daxon Rudolph

Pick #11

Tynan Lawrence

Pick #12

Ethan Belchetz

Pick #13

Oscar Hemming

Pick #14

Oliver Suvanto

Pick #15

Adam Novotny

Pick #16

Nikita Klepov

Pick #17

Alexander Command

Pick #18

Xavier Villeneuve

Pick #19

Tommy Bleyl

Pick #20

Malte Gustafsson

Pick #21

Ryan Lin

Pick #22

Elton Hermansson

Pick #23

JP Hurlbert

Pick #24

Maddox Dagenais

Pick #25

Ilia Morozov

Pick #26

Mathis Preston

Pick #27

Maksim Sokolovskii

Pick #28

Liam Ruck

Pick #29

Juho Piiparinen

Pick #30

Markus Ruck

Pick #31

Casey Mutryn

Pick #32

Yegor Shilov

Pick #33

Nikita Scherbakov

Pick #34

Jaxon Cover

Pick #35

Brady Knowling

Pick #36

Simas Ignatavicius

Pick #37

Ryan Roobroeck

Pick #38

Jack Hextall

Pick #39

Adam Valentini

Pick #40

Marcus Nordmark

Pick #41

Brooks Rogowski

Pick #42

Tobias Trejbal

Pick #43

Tomas Chrenko

Pick #44

Adam Goljer

Pick #45

Dmitri Borichev

Pick #46

Ryder Cali

Pick #47

Timofei Runtso

Pick #48

Rudolfs Berzkalns

Pick #49

Luke Schairer

Pick #50

Ben MacBeath

Pick #51

Jonah Sivertson

Pick #52

Adam Nemec

Pick #53

Gleb Pugachyov

Pick #54

Niklas Aaram-Olsen

Pick #55

William Hakansson

Pick #56

Ethan Mackenzie

Pick #57

Harrisson Boettinger

Pick #58

Blake Zielinski

Pick #59

Alexander Bilecki

Pick #60

Brek Liske

Pick #61

Samu Alalauri

Pick #62

Giorgos Pantelas

Pick #63

Victor Plante

Pick #64

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Full Scoreboard Â»Â»

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

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	POS	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24
Alec Regula	D	25	900,000$	900,000$	RFA
Alexander Pashin	RW	23	950,000$	950,000$	950,000$	RFA
Anthony Romano	C/LW/RW	25	850,000$	850,000$	RFA
Aram Minnetian	D	21	1,075,000$	1,075,000$	1,075,000$	1,075,000$	RFA
Arttu Hyry	C/RW	25	775,000$	775,000$	RFA
Ben McCartney	LW	24	775,000$	775,000$	RFA
Brandon Hickey	D	30	800,000$	800,000$	UFA
Brett Leason	C/RW	27	800,000$	800,000$	UFA
Carson Rehkopf	C	21	914,166$	914,166$	914,166$	RFA
Connor McClennon	RW	23	800,000$	800,000$	RFA
Connor Murphy	D	33	800,000$	800,000$	UFA
Dennis Hildeby	G	24	900,000$	900,000$	RFA
Dominik Badinka	D	20	837,700$	837,700$	837,700$	837,700$	RFA
Dylan Anhorn	D	27	800,000$	800,000$	UFA
Emil Pieniniemi	D	21	906,666$	906,666$	906,666$	RFA
Garrett Pilon	C	28	850,000$	850,000$	UFA
Jake McLaughlin	D	30	800,000$	800,000$	UFA
Jakub Dvorak	D	21	840,000$	840,000$	840,000$	840,000$	RFA
Josh Lopina	C	25	800,000$	800,000$	RFA
Keean Washkurak	C	24	800,000$	800,000$	RFA
Mitchell Stephens	C	29	900,000$	900,000$	900,000$	UFA
Mitchell Vande Sompel	D	29	800,000$	800,000$	UFA
Nathan Gaucher	C	22	866,667$	866,667$	RFA
Nolan Maier	G	25	800,000$	800,000$	RFA
Parker Bell	LW/RW	22	850,000$	850,000$	850,000$	RFA
Samuel Lipkin	LW	23	926,667$	926,667$	926,667$	RFA
Sawyer Mynio	D	21	806,000$	806,000$	806,000$	806,000$	RFA
Theodor Niederbach	C	24	1,025,000$	1,025,000$	RFA
Timur Ibragimov	LW	25	800,000$	800,000$	RFA
Wojciech Stachowiak	LW/RW	26	775,000$	775,000$	RFA
Xavier Parent	C	25	775,000$	775,000$	RFA

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

Condors Affiliation

Team Leaders

Team Stats

Team Captain - Alternate Captains

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Garrett Pilon	69	C	100.00	71	40	81	59	75	70	87	62	75	65	58	68	62	72	70	0	40	73	28	850,000$/1yrs
Brett Leason	20	C/RW	100.00	69	34	88	59	89	76	75	57	59	62	58	76	58	70	69	0	40	73	27	800,000$/1yrs
Ben McCartney	0	LW	100.00	92	39	55	62	72	70	86	61	50	62	64	65	63	66	62	0	40	73	24	775,000$/1yrs
Arttu Hyry	0	C/RW	100.00	73	33	96	60	83	73	69	57	84	59	62	74	59	67	67	0	40	73	25	775,000$/1yrs
Wojciech Stachowiak	0	LW/RW	100.00	74	40	77	61	74	72	73	60	50	63	63	70	63	70	68	0	40	73	26	775,000$/1yrs
Xavier Parent (R)	0	C	100.00	86	40	62	62	63	70	87	61	70	61	64	65	63	66	62	0	40	72	25	775,000$/1yrs
Theodor Niederbach (R)	0	C	100.00	60	34	94	65	63	63	75	54	63	61	60	64	65	72	73	0	40	71	24	1,025,000$/1yrs
Nathan Gaucher (R)	0	C	100.00	85	40	64	59	88	67	85	57	64	58	60	65	59	63	59	0	40	70	22	866,667$/1yrs
Mitchell Stephens	0	C	100.00	67	32	92	56	73	70	69	53	80	56	55	72	54	74	73	0	40	69	29	900,000$/2yrs
Keean Washkurak	0	C	100.00	89	40	59	56	70	65	88	55	70	55	58	65	57	66	62	0	40	68	24	800,000$/1yrs
Carson Rehkopf (R)	0	C	100.00	64	40	88	58	81	64	77	57	71	54	60	61	57	59	58	0	40	68	21	914,166$/2yrs
Anthony Romano (R)	0	C/LW/RW	100.00	61	40	92	54	71	65	72	53	44	56	55	67	56	68	67	0	40	67	25	850,000$/1yrs
Mitchell Vande Sompel	4	D	100.00	65	40	88	52	72	69	74	57	30	57	55	75	56	73	72	0	40	71	29	800,000$/1yrs
Dylan Anhorn	0	D	100.00	73	40	77	55	75	67	81	57	30	60	54	69	57	70	68	0	40	71	27	800,000$/1yrs
Sawyer Mynio (R)	0	D	100.00	75	40	75	59	74	64	75	54	30	61	54	59	58	59	57	0	40	70	21	806,000$/3yrs
Brandon Hickey	0	D	100.00	64	40	89	50	80	66	76	54	30	55	53	71	54	75	74	0	40	69	30	800,000$/1yrs
Alec Regula (R)	0	D	100.00	61	42	59	55	85	79	69	52	30	58	50	70	51	68	64	0	40	69	25	900,000$/1yrs
Emil Pieniniemi (R)	0	D	100.00	64	35	97	60	74	60	65	50	30	54	56	67	63	67	67	0	40	69	21	906,666$/2yrs
Aram Minnetian (R)	0	D	100.00	68	43	83	59	72	59	69	48	30	55	51	68	61	67	67	0	40	68	21	1,075,000$/3yrs
Scratches
Timur Ibragimov	0	LW	100.00	56	38	98	52	78	62	74	62	39	51	53	65	37	62	62	0	20	66	25	800,000$/1yrs
Josh Lopina	0	C	100.00	66	40	86	54	79	63	79	52	70	55	54	64	55	66	65	0	40	66	25	800,000$/1yrs
Parker Bell (R)	0	LW/RW	100.00	71	40	80	54	87	62	85	52	39	53	55	62	54	63	61	0	40	66	22	850,000$/2yrs
Samuel Lipkin (R)	0	LW	100.00	61	38	88	58	74	59	73	47	45	54	51	60	61	70	70	0	40	65	23	926,667$/2yrs
Alexander Pashin (R)	0	RW	100.00	61	37	90	50	57	59	73	60	43	49	49	63	34	59	58	0	20	64	23	950,000$/2yrs
Connor McClennon (R)	0	RW	100.00	61	37	90	48	60	57	66	60	40	48	45	63	32	59	58	0	20	62	23	800,000$/1yrs
Jakub Dvorak (R)	0	D	100.00	76	40	74	53	87	62	81	51	30	54	53	63	54	59	56	0	40	67	21	840,000$/3yrs
Dominik Badinka (R)	0	D	100.00	62	40	91	54	75	63	77	52	30	55	55	63	55	59	58	0	40	67	20	837,700$/3yrs
Jake McLaughlin	0	D	100.00	67	39	79	30	76	61	60	56	65	26	23	69	43	68	66	0	56	54	30	800,000$/1yrs

	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
2,454,787$	0$	0$	75,000,000$

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	0$	$	$	$
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
36	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,454,787$	2,454,787$	0$	0$

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

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