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Montreal Canadiens 0-0-0, 0pts · 14th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 18 | C/RW | 100.00 | 56 | 33 | 90 | 83 | 83 | 87 | 88 | 80 | 87 | 88 | 76 | 78 | 78 | 66 | 65 | 0 | 21 | 88 | 23 | 3,500,000$/2yrs | |||
![]() | 77 | LW | 100.00 | 80 | 32 | 90 | 73 | 68 | 83 | 71 | 74 | 55 | 68 | 83 | 88 | 79 | 66 | 65 | 0 | 19 | 86 | 23 | 825,000$/1yrs | |||
![]() | 0 | C | 100.00 | 69 | 36 | 86 | 68 | 73 | 81 | 85 | 68 | 84 | 73 | 67 | 83 | 68 | 70 | 69 | 0 | 21 | 81 | 26 | 1,700,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 84 | 36 | 84 | 73 | 75 | 76 | 90 | 72 | 78 | 70 | 75 | 67 | 74 | 70 | 68 | 0 | 68 | 81 | 26 | 825,000$/1yrs | |||
![]() | 48 | C | 100.00 | 69 | 32 | 90 | 74 | 66 | 81 | 86 | 71 | 80 | 74 | 71 | 70 | 71 | 65 | 64 | 0 | 23 | 81 | 24 | 1,100,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 33 | 84 | 71 | 78 | 80 | 79 | 69 | 85 | 74 | 70 | 69 | 70 | 73 | 72 | 0 | 11 | 80 | 28 | 6,375,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 72 | 39 | 82 | 66 | 70 | 78 | 89 | 70 | 60 | 70 | 70 | 73 | 70 | 76 | 75 | 0 | 23 | 80 | 30 | 3,750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 36 | 77 | 65 | 81 | 75 | 81 | 69 | 77 | 69 | 69 | 74 | 69 | 67 | 65 | 0 | 23 | 79 | 25 | 2,000,000$/2yrs | |||
![]() | 12 | C/LW | 100.00 | 66 | 36 | 88 | 69 | 90 | 78 | 89 | 69 | 60 | 71 | 73 | 63 | 71 | 70 | 69 | 0 | 25 | 79 | 26 | 1,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 33 | 93 | 69 | 83 | 78 | 87 | 66 | 55 | 71 | 68 | 63 | 67 | 68 | 68 | 0 | 23 | 78 | 25 | 3,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 64 | 32 | 87 | 61 | 72 | 79 | 73 | 64 | 58 | 71 | 61 | 74 | 63 | 84 | 82 | 0 | 23 | 77 | 34 | 2,750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 83 | 39 | 76 | 62 | 80 | 73 | 85 | 65 | 59 | 68 | 67 | 62 | 66 | 70 | 68 | 0 | 18 | 76 | 27 | 1,800,000$/1yrs | |||
![]() | 8 | D | 100.00 | 68 | 33 | 91 | 77 | 80 | 90 | 90 | 72 | 30 | 81 | 72 | 77 | 72 | 64 | 63 | 0 | 23 | 86 | 23 | 4,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 81 | 39 | 79 | 71 | 81 | 90 | 72 | 70 | 30 | 75 | 66 | 89 | 68 | 61 | 59 | 0 | 35 | 86 | 21 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 86 | 34 | 87 | 61 | 90 | 89 | 73 | 67 | 30 | 72 | 63 | 84 | 65 | 83 | 82 | 0 | 18 | 84 | 34 | 5,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 83 | 33 | 84 | 59 | 77 | 85 | 82 | 68 | 30 | 67 | 58 | 88 | 63 | 78 | 77 | 0 | 23 | 83 | 31 | 4,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 35 | 75 | 61 | 80 | 90 | 86 | 66 | 30 | 69 | 64 | 80 | 65 | 71 | 69 | 0 | 65 | 81 | 27 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 32 | 84 | 62 | 73 | 86 | 77 | 65 | 30 | 69 | 64 | 75 | 64 | 63 | 61 | 0 | 28 | 78 | 22 | 842,500$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 4 | D | 100.00 | 74 | 36 | 77 | 61 | 94 | 86 | 86 | 67 | 30 | 69 | 62 | 78 | 64 | 66 | 63 | 0 | 20 | 80 | 24 | 2,294,150$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 32 | 97 | 69 | 68 | 86 | 70 | 65 | 30 | 72 | 64 | 69 | 64 | 62 | 61 | 0 | 19 | 79 | 22 | 820,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 74 | 35 | 85 | 68 | 78 | 83 | 82 | 69 | 54 | 72 | 68 | 75 | 69 | 70 | 68 | 0 | 26 | 81 |
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 ) |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 78 | 73 | 83 | 84 | 79 | 85 | 88 | 84 | 87 | 85 | 84 | 88 | 0 | 10 | 87 | 35 | 5,000,000$/1yrs |
![]() | 0 | 100.00 | 78 | 69 | 69 | 91 | 81 | 80 | 82 | 84 | 82 | 84 | 82 | 94 | 98 | 0 | 33 | 85 | 41 | 2,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 75 | 81 | 72 | 65 | 81 | 76 | 75 | 75 | 76 | 75 | 75 | 64 | 66 | 0 | 19 | 78 | 22 | 795,000$/1yrs |
TEAM AVERAGE | 100.00 | 79 | 76 | 71 | 80 | 82 | 78 | 81 | 82 | 81 | 82 | 81 | 81 | 84 | 0 | 21 | 83 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Sheldon Keefe | 74 | 83 | 98 | 82 | 63 | 58 | 83 | CAN | 40 | 2 | 1,000,000$ |
General Manager | Fergy Ferg |
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Priority | Type | Description |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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Priority | Type | Description |
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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 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 20 |
LTIR Players | 3 |
Canadiens Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Artem Zub | D | 27 | 2,500,000$ | 2,500,000$ | |||||||
Brett Howden | C/LW/RW | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Carl Hagelin | LW | 34 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Denis Gurianov | LW/RW | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Jake Evans | C | 26 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | ||||
Jake Muzzin | D | 34 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Jordan Harris ![]() | D | 22 | 842,500$ | 842,500$ | 1,400,000$ | 1,400,000$ | RFA | ||||
Jordan Spence ![]() | D | 22 | 820,000$ | 820,000$ | 820,000$ | RFA | |||||
Kaiden Guhle ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Mike Smith ![]() | G | 41 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Morgan Frost ![]() | C | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Nicolas Aube-Kubel | RW | 27 | 1,800,000$ | 1,800,000$ | |||||||
Nicolas Hague ![]() | D | 24 | 2,294,150$ | 2,294,150$ | 2,294,150$ | 2,294,150$ | |||||
Nikita Zaitsev | D | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Noah Dobson ![]() | D | 23 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Olivier Rodrigue ![]() ![]() | G | 22 | 795,000$ | 795,000$ | RFA | ||||||
Pierre Engvall ![]() | C/LW | 26 | 1,250,000$ | 1,250,000$ | |||||||
Rafael Harvey-Pinard ![]() | LW | 23 | 825,000$ | 825,000$ | RFA | ||||||
Robert Thomas | C/RW | 23 | 3,500,000$ | 3,500,000$ | 3,500,000$ | RFA | |||||
Ross Colton ![]() | C/LW | 26 | 825,000$ | 825,000$ | |||||||
Sean Monahan | C/LW/RW | 28 | 6,375,000$ | 6,375,000$ | UFA | ||||||
Semyon Varlamov ![]() | G | 35 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Vladislav Namestnikov | C/LW/RW | 30 | 3,750,000$ | 3,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Khovanov ![]() | C | 23 | 811,667$ | 811,667$ | RFA | ||||||
Andreas Borgman ![]() | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Arturs Silovs ![]() | G | 22 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | RFA | ||||
Brad Lambert ![]() | C/RW | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Brandon Crawley ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Brayden Tracey ![]() | LW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Colton White ![]() | D | 26 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Dan Renouf ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Dereck Baribeau ![]() ![]() | G | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Egor Afanasyev ![]() | LW | 22 | 789,167$ | 789,167$ | 789,167$ | RFA | |||||
Elliot Desnoyers ![]() | LW | 21 | 845,833$ | 845,833$ | 845,833$ | RFA | |||||
Gabriel Bourque ![]() | LW/RW | 32 | 900,000$ | 900,000$ | UFA | ||||||
Gustav Olofsson ![]() | D | 28 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Hayden Verbeek ![]() | C | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Jake Neighbours ![]() | LW | 21 | 866,667$ | 866,667$ | 866,667$ | RFA | |||||
Jakub Skarek ![]() ![]() | G | 23 | 764,167$ | 764,167$ | RFA | ||||||
Jan Mysak ![]() | C/LW | 20 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Jeffrey Viel ![]() | LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Joel Teasdale ![]() | LW | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Jonas Rondbjerg ![]() | RW | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Justin Bailey ![]() ![]() | LW/RW | 27 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | |||
Justin Barron ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Kiefer Sherwood ![]() | C/LW/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||
Lukas Jasek ![]() | RW | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Matthew Peca ![]() | C/LW/RW | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Mattias Norlinder ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Max McCormick ![]() ![]() | LW | 31 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Michael Pezzetta ![]() ![]() | C/LW | 25 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | ![]() | ||||
Mike Vecchione ![]() | RW | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Olivier Galipeau ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Tobias Bjornfot ![]() | D | 22 | 894,167$ | 894,167$ | RFA | ||||||
Tobias Lindberg ![]() | LW | 27 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA |
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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 |
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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 | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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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 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
57,551,650$ | 0$ | 0$ | 24,948,350$ |
Arena | Goal Horn | About us | |
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![]() | Name | Bell Centre | |
City | Montreal | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
57,551,650$ | 57,551,650$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 2 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 57,551,650$ | 41,711,931$ | 41,711,931$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Albert Lyckasen | |||||
Blake McLaughlin | 6.0 - 7.0 | ||||
Daniil Sobolev | 2021 | 136 | |||
Eli Barnett | 2022 | 210 | |||
Gleb Trikozov | 2022 | 30 | |||
Hunter Haight | 2022 | 62 | |||
Jackson Blake | 2021 | 104 | |||
Jared Wright | 2022 | 185 | |||
Jayden Struble | 2019 | 65 | |||
Joni Ikonen | 2017 | 58 | 7.0 - 7.0 | ||
Jorian Donovan | 2022 | 157 | |||
Josh Nodler | 2019 | 161 | |||
Logan Mailloux | 2021 | 65 | |||
Luke Toporowski | 2019 | 206 | |||
Marcel Barinka | 2019 | 204 | 6.0 - 7.0 | ||
Marco Kasper | 2022 | 15 | |||
Matvei Guskov | 2019 | 130 | 5.0 - 4.0 | ||
Miguel Tourigny | 2022 | 148 | |||
Nikita Popugayev | 6.5 - 5.8 | ||||
Nolan Collins | 2022 | 175 | |||
RE-PICK | 2021 | 114 | |||
Riley Kidney | 2021 | 72 | |||
Samuel Knazko | 2020 | 114 | |||
Scott Walford | |||||
Sean Farrell | 2020 | 69 | |||
Sergei Ivanov | 2022 | 176 | |||
Zachary Bouthillier |