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Full Scoreboard » |
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Full Scoreboard » |
Montreal Canadiens 0-0-0, 0pts · 15th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 19 | C/LW | 100.00 | 63 | 35 | 95 | 72 | 75 | 86 | 87 | 69 | 57 | 71 | 67 | 81 | 68 | 75 | 77 | 34 | 75 | 0 | 31 | 4,150,000$/1yrs | |||
![]() | 25 | C | 100.00 | 69 | 36 | 95 | 73 | 81 | 83 | 84 | 66 | 78 | 67 | 64 | 93 | 65 | 66 | 69 | 78 | 75 | 0 | 26 | 1,900,000$/2yrs | |||
![]() | 8 | LW/RW | 100.00 | 68 | 65 | 71 | 74 | 73 | 86 | 90 | 75 | 56 | 76 | 73 | 64 | 72 | 70 | 73 | 48 | 75 | 0 | 29 | 5,000,000$/2yrs | |||
![]() | 20 | LW | 100.00 | 75 | 49 | 77 | 71 | 89 | 87 | 83 | 73 | 59 | 72 | 69 | 65 | 71 | 62 | 70 | 94 | 75 | 0 | 21 | 950,000$/1yrs | |||
![]() | 37 | C/LW | 100.00 | 62 | 35 | 90 | 77 | 76 | 87 | 90 | 75 | 78 | 80 | 69 | 67 | 79 | 68 | 70 | 83 | 75 | 0 | 26 | 5,750,000$/3yrs | |||
![]() | 71 | C | 100.00 | 73 | 41 | 72 | 69 | 71 | 86 | 84 | 68 | 75 | 67 | 66 | 71 | 69 | 62 | 66 | 80 | 75 | 0 | 22 | 863,333$/1yrs | |||
![]() | 13 | RW | 100.00 | 78 | 43 | 87 | 67 | 87 | 82 | 80 | 65 | 64 | 62 | 61 | 63 | 66 | 68 | 69 | 85 | 75 | 0 | 26 | 4,500,000$/1yrs | |||
![]() | 62 | LW/RW | 100.00 | 76 | 37 | 89 | 73 | 84 | 86 | 89 | 71 | 59 | 68 | 74 | 65 | 76 | 83 | 75 | 54 | 75 | 0 | 32 | 5,450,000$/2yrs | |||
![]() | 91 | C | 100.00 | 60 | 36 | 91 | 71 | 82 | 89 | 69 | 73 | 72 | 70 | 67 | 66 | 74 | 59 | 66 | 93 | 75 | 0 | 20 | 950,000$/2yrs | |||
![]() | 9 | C/LW/RW | 100.00 | 82 | 71 | 68 | 77 | 76 | 87 | 85 | 75 | 78 | 74 | 74 | 71 | 73 | 75 | 72 | 69 | 75 | 0 | 28 | 5,000,000$/1yrs | |||
![]() | 82 | C/LW/RW | 100.00 | 81 | 73 | 76 | 66 | 88 | 83 | 87 | 64 | 62 | 63 | 63 | 66 | 63 | 71 | 70 | 55 | 75 | 0 | 30 | 2,250,000$/1yrs | |||
![]() | 15 | C/LW/RW | 100.00 | 67 | 34 | 89 | 74 | 70 | 87 | 90 | 69 | 77 | 73 | 64 | 86 | 68 | 74 | 72 | 39 | 75 | 0 | 30 | 3,750,000$/1yrs | |||
![]() | 27 | D | 100.00 | 62 | 34 | 95 | 73 | 72 | 89 | 75 | 71 | 30 | 78 | 63 | 64 | 55 | 66 | 69 | 85 | 75 | 0 | 24 | 2,600,000$/1yrs | |||
![]() | 4 | D | 100.00 | 73 | 42 | 74 | 76 | 75 | 91 | 81 | 75 | 30 | 76 | 74 | 73 | 59 | 63 | 64 | 88 | 75 | 0 | 23 | 3,850,000$/1yrs | |||
![]() | 72 | D | 100.00 | 73 | 38 | 84 | 72 | 77 | 93 | 87 | 73 | 30 | 82 | 66 | 83 | 55 | 84 | 74 | 47 | 75 | 0 | 33 | 6,500,000$/3yrs | |||
![]() | 44 | D | 100.00 | 75 | 35 | 88 | 63 | 76 | 86 | 81 | 59 | 30 | 70 | 58 | 74 | 50 | 79 | 73 | 50 | 75 | 0 | 33 | 1,000,000$/1yrs | |||
![]() | 3 | D | 100.00 | 75 | 36 | 88 | 68 | 82 | 92 | 90 | 66 | 30 | 74 | 65 | 89 | 54 | 71 | 73 | 40 | 75 | 0 | 30 | 5,750,000$/7yrs | |||
![]() | 81 | D | 100.00 | 86 | 72 | 74 | 65 | 89 | 90 | 86 | 63 | 30 | 72 | 55 | 90 | 48 | 69 | 71 | 63 | 75 | 0 | 27 | 5,250,000$/7yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 28 | LW | 100.00 | 81 | 37 | 85 | 68 | 84 | 79 | 77 | 66 | 56 | 62 | 71 | 64 | 67 | 73 | 74 | 55 | 75 | 0 | 30 | 2,100,000$/6yrs | |||
![]() | 74 | LW | 100.00 | 73 | 42 | 76 | 68 | 82 | 81 | 79 | 64 | 65 | 61 | 67 | 63 | 66 | 68 | 70 | 36 | 75 | 0 | 28 | 1,350,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 73 | 45 | 83 | 71 | 79 | 87 | 84 | 69 | 56 | 71 | 67 | 73 | 65 | 70 | 71 | 64 | 75 | 0 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 33 | 100.00 | 93 | 87 | 81 | 86 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 86 | 91 | 48 | 75 | 0 | 37 | 2,650,000$/2yrs |
![]() | 29 | 100.00 | 88 | 83 | 78 | 91 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 70 | 81 | 62 | 75 | 0 | 28 | 2,350,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 31 | 0.00 | 82 | 61 | 71 | 87 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 90 | 89 | 50 | 75 | 0 | 37 | 10,500,000$/2yrs |
TEAM AVERAGE | 66.67 | 88 | 77 | 77 | 88 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 82 | 87 | 53 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Martin St. Louis | 85 | 79 | 83 | 81 | 73 | 68 | 77 | CAN | 49 | 1 | 3,000,000$ |
General Manager | Gabriel Dumont |
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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 | MP | 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 |
---|---|---|
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 | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 26 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Adam Boqvist | D/G | 24 | 2,600,000$ | 2,600,000$ | RFA | ||||||
Alex Iafallo | C/LW/G | 31 | 4,150,000$ | 4,150,000$ | |||||||
Alex Kerfoot ![]() | C/LW/RW | 30 | 3,750,000$ | 3,750,000$ | |||||||
Bobby McMann | LW/G | 28 | 1,350,000$ | 1,350,000$ | 1,350,000$ | ||||||
Bowen Byram | D | 23 | 3,850,000$ | 3,850,000$ | RFA | ||||||
Calvin de Haan | D | 33 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Cam Talbot ![]() | C/LW/RW/G | 37 | 2,650,000$ | 2,650,000$ | 2,650,000$ | ||||||
Carey Price ![]() ![]() | D/G | 37 | 10,500,000$ | 10,500,000$ | 10,500,000$ | RFA | |||||
Casey Mittelstadt | C/LW | 26 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | RFA | ||||
Erik Cernak ![]() | D | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA |
Jesse Puljujarvi | RW | 26 | 4,500,000$ | 4,500,000$ | RFA | ||||||
Juraj Slafkovsky ![]() | LW | 21 | 950,000$ | 950,000$ | |||||||
Justin Faulk ![]() | D | 33 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Leo Carlsson ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | ||||||
Mackenzie Blackwood | RW/G | 28 | 2,350,000$ | 2,350,000$ | RFA | ||||||
Matt Roy | D | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA |
Michael Bunting ![]() | LW/RW | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Nino Niederreiter | LW/RW | 32 | 5,450,000$ | 5,450,000$ | 5,450,000$ | UFA | |||||
Ridly Greig ![]() | C | 22 | 863,333$ | 863,333$ | |||||||
Ryan Poehling | C | 26 | 1,900,000$ | 1,900,000$ | 1,900,000$ | RFA | |||||
Sam Bennett | C/LW/RW | 28 | 5,000,000$ | 5,000,000$ | RFA | ||||||
William Carrier ![]() | LW/G | 30 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | |
Zach Sanford | C/LW/RW | 30 | 2,250,000$ | 2,250,000$ |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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Goalies | |||||||
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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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
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 | 0 |
Without Puck | 0 |
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 | 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 |
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1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 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 | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
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 |
77,150,833$ | 0$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Centre Bell | |
City | Montreal | ||
Capacity | 21273 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6004 | 5010 | 3050 | 4400 | 2809 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 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$ | 21273 | 200 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,150,833$ | 73,913,328$ | 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$ | 5 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 367,957,578$ | 367,957,578$ |
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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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Aaron Huglen | 2019 | 110 | |||
Adam Ingram | 2022 | 57 | |||
Alexander Daryin | 2019 | 115 | |||
Anton Silayev | 2024 | 8 | |||
Ben Zloty | 2022 | 195 | |||
Brodie Ziemer | 2024 | 62 | |||
Callum Tung | ELC 2025-26 | Link | |||
Connor Levis | 2023 | 138 | |||
Connor McClennon | 2020 | 111 | |||
Cooper Foster | 2023 | 179 | |||
Dalton Bancroft | ELC 2025-26 | Link | |||
Daniel Ljungman | 2020 | 114 | |||
Daniil Ustinkov | 2024 | 94 | |||
Dominik Rymon | 2022 | 182 | |||
Emil Jarventie | 2023 | 95 | |||
Evan Boucher | 2022 | 177 | |||
Evgenii Kashnikov | 2021 | 221 | |||
Filip Sitar | 2024 | 210 | |||
Frantisek Dej | 2023 | 130 | |||
Gian Meier | 2024 | 168 | |||
Hannes Hellberg | 2023 | 111 | |||
Hudson Thornton | 2022 | 131 | |||
Ian Blomquist | 2022 | 144 | |||
Jack Devine | 2022 | 117 | |||
Jakub Hujer | 2022 | 198 | |||
Joona Saarelainen | 2024 | 182 | |||
Luke Ashton | 2024 | 136 | |||
Luke Ellinas | 2024 | 126 | |||
Mikhail Gulyayev | 2023 | 34 | |||
Mikhail Maltsev | |||||
Nikita Nedopekin | 2023 | 150 | |||
Nikolai Makarov | 2021 | 143 | |||
Nikolaj Tishkevich | 2022 | 148 | |||
Oskar Vuollet | 2024 | 79 | |||
Ruslan Khazheyev | 2023 | 165 | |||
Stanislav Yarovoi | 2023 | 188 | |||
Ty Smilanic | 2020 | 44 | ELC 2022-23 (activation) | Link | |
Yegor Rimashevskiy | 2023 | 98 |
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