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Toronto Maple Leafs 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 22 | C | 100.00 | 57 | 37 | 89 | 70 | 66 | 88 | 87 | 69 | 74 | 68 | 67 | 62 | 70 | 64 | 65 | 78 | 75 | 0 | 22 | 894,167$/1yrs | |||
![]() | 0 | LW | 100.00 | 56 | 34 | 95 | 76 | 71 | 86 | 89 | 78 | 59 | 76 | 81 | 65 | 79 | 68 | 72 | 36 | 75 | 0 | 28 | 5,500,000$/1yrs | |||
![]() | 41 | C/LW/RW | 100.00 | 67 | 36 | 85 | 73 | 78 | 86 | 74 | 67 | 61 | 69 | 65 | 80 | 75 | 66 | 68 | 71 | 75 | 0 | 24 | 2,100,000$/2yrs | |||
![]() | 14 | LW | 100.00 | 66 | 39 | 79 | 67 | 72 | 84 | 87 | 65 | 63 | 66 | 58 | 60 | 62 | 65 | 66 | 82 | 75 | 0 | 24 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 38 | 86 | 77 | 91 | 90 | 89 | 79 | 57 | 78 | 85 | 65 | 83 | 94 | 96 | 36 | 75 | 0 | 38 | 9,500,000$/2yrs | |||
![]() | 24 | RW | 100.00 | 72 | 43 | 84 | 73 | 69 | 85 | 86 | 67 | 58 | 68 | 65 | 87 | 66 | 69 | 70 | 36 | 75 | 0 | 27 | 1,050,000$/1yrs | |||
![]() | 21 | C/RW | 100.00 | 79 | 43 | 78 | 79 | 70 | 91 | 90 | 77 | 88 | 82 | 75 | 78 | 76 | 79 | 75 | 52 | 75 | 0 | 31 | 7,750,000$/5yrs | |||
![]() | 33 | LW/RW | 100.00 | 55 | 32 | 92 | 81 | 62 | 92 | 90 | 79 | 50 | 84 | 69 | 66 | 83 | 80 | 75 | 48 | 75 | 0 | 30 | 10,000,000$/5yrs | |||
![]() | 34 | C | 100.00 | 66 | 37 | 84 | 64 | 70 | 80 | 84 | 63 | 73 | 68 | 65 | 62 | 64 | 72 | 73 | 27 | 75 | 0 | 32 | 775,000$/1yrs | |||
![]() | 27 | LW/RW | 100.00 | 63 | 40 | 90 | 85 | 69 | 86 | 84 | 78 | 55 | 80 | 75 | 65 | 82 | 74 | 72 | 71 | 75 | 0 | 28 | 6,000,000$/1yrs | |||
![]() | 8 | C/RW | 100.00 | 57 | 34 | 94 | 79 | 71 | 90 | 87 | 78 | 74 | 81 | 76 | 66 | 77 | 72 | 71 | 68 | 75 | 0 | 28 | 5,850,000$/2yrs | |||
![]() | 47 | D | 100.00 | 71 | 46 | 69 | 65 | 75 | 84 | 74 | 63 | 30 | 64 | 57 | 67 | 51 | 63 | 65 | 73 | 75 | 0 | 23 | 867,500$/1yrs | |||
![]() | 25 | D | 100.00 | 64 | 36 | 88 | 70 | 80 | 94 | 83 | 65 | 30 | 75 | 64 | 95 | 53 | 81 | 72 | 67 | 75 | 0 | 31 | 6,000,000$/4yrs | |||
![]() | 18 | D | 100.00 | 69 | 39 | 79 | 76 | 80 | 95 | 84 | 74 | 30 | 86 | 71 | 90 | 58 | 74 | 71 | 65 | 75 | 0 | 30 | 4,875,000$/2yrs | |||
![]() | 51 | D | 100.00 | 74 | 46 | 85 | 62 | 98 | 84 | 67 | 59 | 30 | 68 | 54 | 62 | 48 | 69 | 71 | 49 | 75 | 0 | 29 | 787,500$/1yrs | |||
![]() | 2 | D | 100.00 | 73 | 39 | 84 | 62 | 83 | 77 | 85 | 58 | 30 | 60 | 55 | 66 | 49 | 65 | 67 | 58 | 75 | 0 | 25 | 775,000$/3yrs | |||
![]() | 46 | D | 100.00 | 69 | 33 | 95 | 74 | 63 | 93 | 77 | 71 | 30 | 76 | 69 | 95 | 57 | 85 | 92 | 25 | 75 | 0 | 34 | 7,575,000$/3yrs | |||
![]() | 4 | D | 100.00 | 59 | 37 | 86 | 65 | 67 | 83 | 79 | 64 | 30 | 66 | 60 | 62 | 52 | 64 | 65 | 67 | 75 | 0 | 23 | 812,500$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 37 | 92 | 78 | 84 | 95 | 74 | 76 | 30 | 87 | 73 | 81 | 59 | 70 | 75 | 74 | 75 | 0 | 27 | 7,500,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 6 | D | 100.00 | 71 | 40 | 92 | 64 | 86 | 83 | 75 | 62 | 30 | 65 | 56 | 76 | 50 | 82 | 75 | 37 | 75 | 0 | 34 | ||||
TEAM AVERAGE | 100.00 | 67 | 38 | 86 | 72 | 75 | 87 | 82 | 70 | 49 | 73 | 67 | 73 | 65 | 73 | 73 | 56 | 75 | 0 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 91 | 87 | 81 | 92 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 81 | 88 | 51 | 75 | 0 | 34 | 5,225,000$/3yrs |
![]() | 52 | 100.00 | 90 | 88 | 84 | 84 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 65 | 73 | 75 | 75 | 0 | 25 | 2,000,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 91 | 88 | 83 | 88 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 73 | 81 | 63 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jim Montgomery | 90 | 95 | 93 | 81 | 82 | 77 | 66 | CAN | 55 | 1 | 3,550,000$ |
General Manager | Philippe Bourret |
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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 | 85,734,084$ |
Projected Cap Space | 2,265,916$ |
Retains And Buyout Cap Hit | -877,500$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Ovechkin ![]() | LW/RW | 38 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Alexandre Texier | C/LW/RW | 24 | 2,100,000$ | 2,100,000$ | 2,100,000$ | RFA | |||||
Andrei Kuzmenko | LW/G | 28 | 5,500,000$ | 5,500,000$ | RFA | ||||||
Ben Harpur | D | 29 | 787,500$ | 787,500$ | |||||||
Darcy Kuemper ![]() | LW/G | 34 | 5,225,000$ | 5,225,000$ | 5,225,000$ | 5,225,000$ | RFA | ||||
Grigori Denisenko | LW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Jack St. Ivany | D | 25 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | RFA | ||||
Jared Spurgeon ![]() | D | 34 | 7,575,000$ | 7,575,000$ | 7,575,000$ | 7,575,000$ | UFA | ||||
Jayden Struble ![]() | D/G | 23 | 867,500$ | 867,500$ | |||||||
Johnny Gaudreau ![]() | LW/RW | 30 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | ||
Jonas Brodin ![]() | D/G | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Logan O'Connor | RW | 27 | 1,050,000$ | 1,050,000$ | RFA | ||||||
Marco Scandella ![]() | D/G | 34 | 0$ | UFA | |||||||
Mavrik Bourque ![]() | C/G | 22 | 894,167$ | 894,167$ | |||||||
Michael Sgarbossa ![]() | C | 32 | 775,000$ | 775,000$ | |||||||
Mike Matheson | D | 30 | 4,875,000$ | 4,875,000$ | 4,875,000$ | ||||||
Nick Schmaltz | C/RW | 28 | 5,850,000$ | 5,850,000$ | 5,850,000$ | ||||||
Nikolaj Ehlers ![]() | LW/RW | 28 | 6,000,000$ | 6,000,000$ | RFA | ||||||
Pyotr Kochetkov | D/G | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | ||||
Vincent Trocheck ![]() | C/RW | 31 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | ||
Zac Jones | D | 23 | 812,500$ | 812,500$ | RFA | ||||||
Zach Werenski | D | 27 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | RFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd 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 |
---|---|---|
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 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
86,611,667$ | -877,500$ | 85,734,084$ | 2,265,916$ |
Arena | Goal Horn | About us | |
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![]() | Name | Scotiabank Arena | |
City | Toronto | ||
Capacity | 18819 | ||
Season Ticket Holders | 90% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2046 | 4600 | 1173 |
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$ | 18819 | 200 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
86,611,667$ | 86,611,667$ | 0$ | -877,500$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 451,102$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 469,592$ | 90,161,664$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
91,904,379$ | 85,734,084$ | 222,155,673$ | 130,251,294$ |
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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Alex Pharand | 2023 | 104 | |||
Alexander Muromtsev | 2022 | 210 | |||
Cole Brown | 2023 | 168 | |||
Dalibor Dvorsky | 2023 | 8 | ELC 2023-24 (slide) | Link | |
Dylan Hryckowian | 2022 | 178 | |||
Gunnarwolfe Fontaine | 2020 | 116 | |||
Jakub Fibigr | 2024 | 99 | |||
Jakub Kos | 2021 | 202 | |||
Jayden Perron | 2023 | 59 | |||
Joe Miller | 2020 | 208 | |||
Kaden Hammell | 2023 | 191 | |||
Makar Khanin | 2024 | 146 | |||
Matej Vovsik | 2023 | 200 | |||
Maxim Masse | 2024 | 41 | |||
Roman Bychkov | 2019 | 159 | Link | ||
Ruslan Gazizov | 2022 | 67 | |||
Tij Iginla | 2024 | 11 | ELC 2024-25 | Link |
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