| Toronto Maple Leafs 15-6-2, 32pts · 3rd 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nikita Kucherov (A) | 86 | RW | 100.00 | 60 | 34 | 85 | 92 | 70 | 92 | 90 | 88 | 60 | 99 | 86 | 58 | 87 | 80 | 78 | 0 | 58 | 95 | 32 | 9,500,000$/2yrs | |||
Leon Draisaitl | 29 | C/LW/RW | 100.00 | 62 | 33 | 75 | 89 | 82 | 91 | 88 | 86 | 91 | 88 | 92 | 60 | 89 | 75 | 73 | 0 | 55 | 93 | 30 | 14,000,000$/8yrs | |||
Tage Thompson (C) | 72 | C/LW/RW | 100.00 | 67 | 37 | 84 | 82 | 91 | 86 | 89 | 78 | 78 | 71 | 90 | 57 | 84 | 71 | 70 | 0 | 56 | 87 | 28 | 7,142,856$/5yrs | |||
Vincent Trocheck | 16 | C/RW | 99.00 | 83 | 37 | 79 | 73 | 71 | 91 | 90 | 74 | 93 | 77 | 75 | 84 | 74 | 79 | 77 | 0 | 58 | 86 | 32 | 6,000,000$/3yrs | |||
Steven Stamkos | 91 | C/LW/RW | 100.00 | 67 | 32 | 82 | 73 | 71 | 86 | 90 | 74 | 81 | 73 | 81 | 59 | 78 | 85 | 99 | 0 | 47 | 85 | 35 | 7,500,000$/2yrs | |||
Mikael Granlund | 64 | C/LW/RW | 100.00 | 65 | 32 | 86 | 72 | 70 | 89 | 89 | 73 | 82 | 81 | 70 | 76 | 71 | 82 | 80 | 0 | 58 | 84 | 33 | 5,250,000$/3yrs | |||
Jamie Benn | 14 | C/LW | 100.00 | 73 | 38 | 76 | 68 | 81 | 81 | 90 | 70 | 83 | 74 | 70 | 68 | 70 | 86 | 99 | 0 | 60 | 82 | 36 | 2,250,000$/3yrs | |||
Fabian Zetterlund | 20 | C/LW/RW | 100.00 | 76 | 35 | 90 | 70 | 83 | 85 | 90 | 67 | 60 | 66 | 72 | 70 | 69 | 68 | 67 | 0 | 58 | 79 | 26 | 3,000,000$/3yrs | |||
Eetu Luostarinen | 27 | C/LW | 100.00 | 83 | 33 | 84 | 67 | 78 | 82 | 88 | 64 | 61 | 68 | 63 | 80 | 64 | 71 | 69 | 0 | 54 | 78 | 27 | 4,000,000$/4yrs | |||
Kevin Stenlund | 82 | C/RW | 100.00 | 63 | 34 | 84 | 63 | 88 | 79 | 90 | 61 | 88 | 62 | 66 | 76 | 63 | 73 | 71 | 0 | 58 | 76 | 29 | 1,000,000$/1yrs | |||
Matthew Peca | 63 | C/LW/RW | 100.00 | 61 | 38 | 89 | 58 | 68 | 72 | 73 | 69 | 74 | 62 | 61 | 73 | 62 | 79 | 78 | 0 | 50 | 75 | 32 | 775,000$/1yrs | |||
Taylor Raddysh | 67 | RW | 100.00 | 65 | 33 | 95 | 63 | 80 | 76 | 90 | 61 | 55 | 54 | 72 | 66 | 66 | 71 | 71 | 0 | 53 | 74 | 27 | 800,000$/1yrs | |||
Charlie McAvoy (A) | 73 | D | 99.00 | 74 | 33 | 50 | 75 | 82 | 95 | 90 | 74 | 30 | 81 | 50 | 84 | 62 | 72 | 67 | 0 | 58 | 86 | 27 | 9,500,000$/5yrs | |||
Dmitry Orlov | 9 | D | 99.00 | 72 | 33 | 80 | 66 | 81 | 91 | 90 | 62 | 30 | 74 | 50 | 70 | 56 | 83 | 81 | 0 | 53 | 80 | 34 | 6,000,000$/4yrs | |||
Joel Edmundson | 44 | D | 100.00 | 72 | 34 | 89 | 58 | 90 | 89 | 88 | 60 | 30 | 63 | 60 | 78 | 60 | 79 | 78 | 0 | 37 | 77 | 32 | 2,750,000$/1yrs | |||
Nick Blankenburg | 77 | D | 100.00 | 67 | 32 | 86 | 60 | 66 | 87 | 84 | 59 | 30 | 63 | 59 | 73 | 59 | 70 | 69 | 0 | 58 | 75 | 27 | 800,000$/1yrs | |||
Zach Bogosian | 6 | D | 100.00 | 72 | 37 | 75 | 55 | 87 | 84 | 88 | 57 | 30 | 61 | 57 | 70 | 57 | 84 | 81 | 0 | 43 | 74 | 35 | 1,250,000$/1yrs | |||
Zeev Buium (R) | 8 | D | 100.00 | 57 | 32 | 96 | 63 | 72 | 86 | 90 | 52 | 30 | 66 | 63 | 51 | 58 | 57 | 57 | 0 | 53 | 72 | 19 | 916,667$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.83 | 69 | 34 | 83 | 69 | 78 | 86 | 88 | 68 | 60 | 71 | 69 | 70 | 68 | 76 | 76 | 0 | 54 | 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) |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joey Daccord | 35 | 98.00 | 88 | 95 | 82 | 80 | 91 | 77 | 91 | 94 | 86 | 96 | 91 | 74 | 78 | 0 | 49 | 91 | 29 | 1,200,000$/1yrs |
Casey DeSmith | 1 | 100.00 | 84 | 79 | 74 | 73 | 86 | 75 | 86 | 86 | 84 | 87 | 86 | 82 | 86 | 0 | 64 | 86 | 34 | 1,250,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.00 | 86 | 87 | 78 | 77 | 89 | 76 | 89 | 90 | 85 | 92 | 89 | 78 | 82 | 0 | 57 | 89 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bruce Cassidy | 78 | 85 | 88 | 69 | 78 | 88 | 80 | CAN | 55 | 4 | 1,000,000$ |
| General Manager | Dominic Dubé |
|---|
| 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Leon Draisaitl | 29 | C/LW/RW | 23 | 14 | 16 | 30 | 9 | 13 | 5 | 32 | 93 | 28 | 62 | 15.05% | 3 | 19.84 | 4 | 5 | 9 | 82 | 0 | 1 | 1 | 3 | 3 | 1 | 53.95% | 506 | 0 | 0 | 0 | 1 | 1.32 | 0 | 1 | |
| 2 | Nikita Kucherov | 86 | RW | 23 | 8 | 20 | 28 | 5 | 6 | 0 | 14 | 109 | 30 | 92 | 7.34% | 0 | 19.68 | 3 | 5 | 8 | 84 | 0 | 0 | 0 | 0 | 3 | 1 | 32.26% | 31 | 0 | 0 | 0 | 0 | 1.24 | 0 | 0 | |
| 3 | Vincent Trocheck | 16 | C/RW | 23 | 5 | 16 | 21 | -2 | 10 | 0 | 52 | 69 | 19 | 57 | 7.25% | 12 | 17.75 | 2 | 9 | 11 | 72 | 0 | 2 | 2 | 108 | 0 | 0 | 54.62% | 606 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 | |
| 4 | Mikael Granlund | 64 | C/LW/RW | 23 | 7 | 9 | 16 | 3 | 6 | 0 | 21 | 72 | 18 | 41 | 9.72% | 7 | 21.71 | 3 | 3 | 6 | 72 | 0 | 0 | 0 | 60 | 2 | 1 | 54.05% | 37 | 0 | 0 | 1 | 0 | 0.64 | 0 | 0 | |
| 5 | Steven Stamkos | 91 | C/LW/RW | 21 | 6 | 8 | 14 | 9 | 14 | 0 | 44 | 60 | 17 | 34 | 10.00% | 4 | 20.68 | 3 | 1 | 4 | 97 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 24 | 0 | 0 | 0 | 1 | 0.64 | 0 | 0 | |
| 6 | Tage Thompson | 72 | C/LW/RW | 23 | 8 | 6 | 14 | 2 | 26 | 10 | 21 | 73 | 23 | 53 | 10.96% | 1 | 18.98 | 3 | 0 | 3 | 81 | 0 | 0 | 0 | 0 | 1 | 0 | 37.50% | 24 | 0 | 0 | 0 | 0 | 0.64 | 1 | 1 | |
| 7 | Charlie McAvoy | 73 | D | 23 | 3 | 10 | 13 | 4 | 40 | 0 | 58 | 35 | 6 | 20 | 8.57% | 27 | 22.35 | 1 | 3 | 4 | 81 | 0 | 0 | 0 | 69 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 8 | Fabian Zetterlund | 20 | C/LW/RW | 23 | 6 | 6 | 12 | 4 | 24 | 0 | 41 | 59 | 11 | 43 | 10.17% | 4 | 18.30 | 2 | 3 | 5 | 73 | 0 | 0 | 0 | 24 | 1 | 0 | 23.53% | 34 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 9 | Dmitry Orlov | 9 | D | 19 | 2 | 7 | 9 | 3 | 22 | 0 | 29 | 29 | 9 | 20 | 6.90% | 26 | 25.13 | 0 | 1 | 1 | 67 | 1 | 0 | 1 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 10 | Joel Edmundson | 44 | D | 22 | 3 | 2 | 5 | -6 | 6 | 0 | 38 | 12 | 4 | 7 | 25.00% | 13 | 16.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 11 | Jamie Benn | 14 | C/LW | 23 | 2 | 2 | 4 | -6 | 16 | 10 | 11 | 23 | 12 | 12 | 8.70% | 2 | 9.71 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 25 | 0 | 0 | 46.77% | 62 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 12 | Kevin Stenlund | 82 | C/RW | 23 | 0 | 4 | 4 | -2 | 4 | 0 | 3 | 19 | 5 | 9 | 0.00% | 3 | 7.62 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 52 | 0 | 0 | 53.33% | 180 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 13 | Zach Bogosian | 6 | D | 22 | 0 | 4 | 4 | -12 | 22 | 0 | 50 | 13 | 9 | 12 | 0.00% | 27 | 14.31 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
| 14 | Nick Blankenburg | 77 | D | 23 | 1 | 3 | 4 | 0 | 14 | 0 | 6 | 9 | 6 | 8 | 11.11% | 19 | 14.45 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 15 | Eetu Luostarinen | 27 | C/LW | 23 | 0 | 3 | 3 | -3 | 8 | 0 | 14 | 30 | 10 | 30 | 0.00% | 5 | 12.34 | 0 | 0 | 0 | 14 | 0 | 1 | 1 | 67 | 0 | 0 | 50.85% | 59 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
| 16 | Taylor Raddysh | 67 | RW | 12 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 3 | 1 | 4 | 0.00% | 0 | 5.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 17 | Matthew Peca | 63 | C/LW/RW | 3 | 0 | 0 | 0 | -1 | 2 | 0 | 0 | 3 | 3 | 7 | 0.00% | 0 | 8.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 18 | Zeev Buium | 8 | D | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 2 | 11.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 355 | 65 | 116 | 181 | 4 | 233 | 25 | 437 | 711 | 211 | 512 | 9.14% | 155 | 16.68 | 22 | 31 | 53 | 747 | 2 | 5 | 7 | 589 | 12 | 3 | 52.17% | 1570 | 0 | 0 | 1 | 2 | 0.61 | 1 | 2 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Joey Daccord | 22 | 14 | 6 | 2 | 0.906 | 2.71 | 1238 | 2 | 2 | 56 | 594 | 0 | 1 | 0 | 1.000 | 3 | 22 | 1 | 0 | 1 | 3 | |
| 2 | Casey DeSmith | 4 | 1 | 0 | 0 | 0.917 | 1.97 | 152 | 0 | 0 | 5 | 60 | 0 | 0 | 0 | 0.000 | 0 | 1 | 22 | 0 | 1 | 0 | |
| Team Total or Average | 26 | 15 | 6 | 2 | 0.907 | 2.63 | 1391 | 2 | 2 | 61 | 654 | 0 | 1 | 0 | 1.000 | 3 | 23 | 23 | 0 | 2 | 3 |
| Projected Total Cap Hit | 86,978,714$ |
| Projected Cap Space | 8,521,286$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 24,641,627$ |
| Players In Salary Cap | 20 |
| LTIR Players | 0 |
| Maple Leafs Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Casey DeSmith | G | 34 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Charlie McAvoy ![]() | D | 27 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Dmitry Orlov ![]() | D | 34 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Eetu Luostarinen ![]() | C/LW | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Fabian Zetterlund ![]() | C/LW/RW | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Jamie Benn ![]() | C/LW | 36 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
Joel Edmundson ![]() | D | 32 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Joey Daccord | G | 29 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Kevin Stenlund | C/RW | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Leon Draisaitl ![]() | C/LW/RW | 30 | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ |
Matthew Peca | C/LW/RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Mikael Granlund ![]() | C/LW/RW | 33 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Nick Blankenburg | D | 27 | 800,000$ | 800,000$ | |||||||
Nikita Kucherov ![]() | RW | 32 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Steven Stamkos ![]() | C/LW/RW | 35 | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||||
Tage Thompson ![]() | C/LW/RW | 28 | 7,142,856$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | ||
Taylor Raddysh | RW | 27 | 800,000$ | 800,000$ | |||||||
Vincent Trocheck ![]() | C/RW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Zach Bogosian | D | 35 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Zeev Buium | D | 19 | 916,667$ | 916,667$ | 916,667$ | 916,667$ | RFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aku Raty | RW | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Albert Johansson | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Alex Steeves | C | 25 | 900,000$ | 900,000$ | |||||||
Braeden Cootes | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Brandon Bussi | G | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Brayden Pachal | D | 26 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||||
Carter George | G | 19 | 845,833$ | 845,833$ | 845,833$ | 845,833$ | RFA | ||||
Connor Mackey | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Cooper Black | G | 24 | 950,000$ | 950,000$ | RFA | ||||||
Dryden Hunt | LW | 30 | 850,000$ | 850,000$ | UFA | ||||||
Haydn Fleury | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Ian Moore | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jan Jenik | RW | 25 | 900,000$ | 900,000$ | RFA | ||||||
Jaycob Megna | D | 32 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Jayson Megna | C | 35 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Joel Hanley | D | 34 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Logan Shaw | C/RW | 33 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Louie Belpedio | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Ludwig Persson | C/LW | 22 | 814,999$ | 814,999$ | 814,999$ | 814,999$ | RFA | ||||
Martin Frk | LW/RW | 32 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Maveric Lamoureux | D | 21 | 876,667$ | 876,667$ | 876,667$ | RFA | |||||
Michael Benning | D | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Michael Brandsegg-Nygard | LW/RW | 20 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
Noah Beck | D | 24 | 975,000$ | 975,000$ | RFA | ||||||
Paul Cotter | C/LW/RW | 26 | 775,000$ | 775,000$ | |||||||
Quinn Hutson | RW | 23 | 875,000$ | 875,000$ | RFA | ||||||
Rem Pitlick | C/LW/RW | 28 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Ruslan Iskhakov | C | 25 | 900,000$ | 900,000$ | RFA | ||||||
Ryan Winterton | C | 22 | 828,333$ | 828,333$ | RFA | ||||||
Samuel Bolduc | D | 24 | 900,000$ | 900,000$ | RFA | ||||||
Travis Boyd | C/LW/RW | 32 | 900,000$ | 900,000$ | UFA | ||||||
Trent Miner | G | 24 | 900,000$ | 900,000$ | RFA | ||||||
Tyson Kozak | C | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Victor Soderstrom | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Vinnie Hinostroza | LW/RW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 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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| 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 3 | 1 | 0 | 1 | 38 | 13 | 11 | 10 | 6 | 38 | 11 | 14 | 19 | 5 | 2 | 40.00% | 7 | 2 | 71.43% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 27 | 18 | 23 | 7 | 14 | 7 | 60.0% | 13.2% | 89.5% | 102.6 | FUN | |
| 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 10 | 12 | 3 | 0 | 43 | 14 | 10 | 21 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 20 | 13 | 28 | 7 | 12 | 5 | 25.0% | 8.0% | 93.0% | 101.0 | DULL | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 39 | 15 | 9 | 15 | 0 | 37 | 13 | 12 | 14 | 6 | 3 | 50.00% | 5 | 1 | 80.00% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 23 | 16 | 24 | 7 | 12 | 6 | 33.3% | 10.3% | 91.9% | 102.1 | LUCKY | |
| 4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 1 | 1 | 35 | 9 | 16 | 7 | 3 | 30 | 5 | 10 | 21 | 5 | 2 | 40.00% | 5 | 2 | 60.00% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 23 | 15 | 25 | 8 | 13 | 6 | 60.0% | 14.3% | 86.7% | 101.0 | FUN | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 35 | 9 | 11 | 15 | 0 | 16 | 7 | 2 | 16 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 27 | 20 | 20 | 7 | 12 | 6 | 100.0% | 5.7% | 100.0% | 105.7 | DULL | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 63 | 21 | 17 | 25 | 0 | 57 | 15 | 25 | 35 | 6 | 2 | 33.33% | 10 | 0 | 100.00% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 46 | 31 | 49 | 14 | 24 | 11 | 50.0% | 7.9% | 94.7% | 102.7 | DULL | |
| 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 15 | 23 | 0 | 1 | 1 | 3 | 4 | 0 | 77 | 29 | 27 | 21 | 0 | 48 | 15 | 21 | 44 | 9 | 3 | 33.33% | 8 | 1 | 87.50% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 53 | 37 | 41 | 15 | 25 | 13 | 83.3% | 10.4% | 95.8% | 106.2 | LUCKY | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 35 | 12 | 12 | 11 | 0 | 22 | 2 | 39 | 15 | 6 | 1 | 16.67% | 6 | 0 | 100.00% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 27 | 19 | 19 | 7 | 12 | 6 | 60.0% | 11.4% | 90.9% | 102.3 | FUN | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 43 | 16 | 11 | 16 | 0 | 25 | 8 | 10 | 17 | 7 | 3 | 42.86% | 5 | 0 | 100.00% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 27 | 19 | 20 | 6 | 12 | 6 | 75.0% | 14.0% | 96.0% | 110.0 | LUCKY | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 18 | 3 | 7 | 8 | 0 | 31 | 11 | 12 | 16 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 1 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 20 | 13 | 28 | 6 | 11 | 5 | 14.3% | 5.6% | 80.6% | 86.2 | Unlucky | |
| 11 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 55 | 10 | 18 | 27 | 0 | 30 | 6 | 4 | 18 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 29 | 21 | 21 | 7 | 11 | 6 | 25.0% | 3.6% | 90.0% | 93.6 | Unlucky | |
| 12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 4 | 0 | 79 | 21 | 31 | 27 | 0 | 48 | 8 | 18 | 39 | 5 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 56 | 41 | 38 | 12 | 24 | 13 | 63.6% | 8.9% | 89.6% | 98.4 | Unlucky | |
| 13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 4 | 0 | 2 | 0 | 68 | 26 | 22 | 20 | 0 | 59 | 12 | 22 | 36 | 10 | 4 | 40.00% | 9 | 3 | 66.67% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 50 | 36 | 43 | 15 | 25 | 11 | 28.6% | 8.8% | 86.4% | 95.3 | Unlucky | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 33 | 10 | 11 | 12 | 0 | 16 | 3 | 9 | 19 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 28 | 20 | 19 | 6 | 12 | 7 | 75.0% | 12.1% | 93.8% | 105.9 | LUCKY | |
| 15 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 4 | 0 | 114 | 34 | 38 | 42 | 0 | 106 | 33 | 43 | 61 | 12 | 2 | 16.67% | 19 | 4 | 78.95% | 1 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 72 | 50 | 71 | 20 | 36 | 18 | 40.0% | 7.0% | 87.7% | 94.8 | Unlucky | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 24 | 11 | 2 | 11 | 0 | 24 | 7 | 6 | 16 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 25 | 18 | 21 | 7 | 12 | 6 | 66.7% | 8.3% | 95.8% | 104.2 | DULL | |
| 17 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 0 | 1 | 37 | 16 | 11 | 8 | 2 | 24 | 8 | 6 | 26 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 26 | 18 | 22 | 7 | 13 | 6 | 75.0% | 8.1% | 91.7% | 99.8 | DULL | |
| _Vs Division | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 26 | 18 | 8 | 10 | 0.625 | 26 | 49 | 75 | 0 | 1 | 9 | 5 | 12 | 0 | 287 | 97 | 97 | 93 | 0 | 212 | 50 | 86 | 154 | 30 | 9 | 30.00% | 35 | 5 | 85.71% | 0 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 206 | 146 | 173 | 57 | 99 | 49 | 56.7% | 9.1% | 91.5% | 100.6 | LUCKY | |
| _Vs Conference | 16 | 9 | 5 | 0 | 1 | 1 | 0 | 0 | 49 | 42 | 7 | 21 | 0.656 | 49 | 91 | 140 | 0 | 2 | 15 | 11 | 22 | 1 | 559 | 185 | 185 | 186 | 3 | 468 | 129 | 169 | 303 | 62 | 17 | 27.42% | 73 | 12 | 83.56% | 2 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 400 | 281 | 364 | 115 | 199 | 100 | 51.6% | 8.8% | 91.0% | 99.8 | Unlucky | |
| _Since Last GM Reset | 23 | 12 | 6 | 0 | 2 | 2 | 1 | 0 | 74 | 61 | 13 | 32 | 0.696 | 74 | 135 | 209 | 0 | 2 | 28 | 16 | 27 | 3 | 818 | 265 | 266 | 278 | 11 | 654 | 178 | 263 | 433 | 97 | 25 | 25.77% | 102 | 15 | 85.29% | 3 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 586 | 413 | 519 | 166 | 287 | 146 | 51.6% | 9.0% | 90.7% | 99.7 | FUN | |
| Total | 23 | 12 | 6 | 0 | 2 | 2 | 1 | 0 | 74 | 61 | 13 | 32 | 0.696 | 74 | 135 | 209 | 0 | 2 | 28 | 16 | 27 | 3 | 818 | 265 | 266 | 278 | 11 | 654 | 178 | 263 | 433 | 97 | 25 | 25.77% | 102 | 15 | 85.29% | 3 | 470 | 885 | 53.11% | 391 | 744 | 52.55% | 198 | 353 | 56.09% | 586 | 413 | 519 | 166 | 287 | 146 | 51.6% | 9.0% | 90.7% | 99.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 885 |
| Neutral Zone Start | 353 |
| Defensive Zone Start | 744 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1059 |
| Faceoffs Lost | 923 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.5 | 9.57 |
| 2nd Period | 23.1 | 20.31 |
| 3rd Period | 35.2 | 30.68 |
| Overtime | 35.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 46 |
|---|---|
| PP Goal | 25 |
| PK Goal | 3 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 13 | 2 |
| Lost | 1 | 5 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 97 |
|---|---|
| PP Goal | 25 |
| PK Attempt | 102 |
| PK Goal Against | 15 |
| Home | |
|---|---|
| Shots For | 35.6 |
| Shots Against | 28.4 |
| Goals For | 3.2 |
| Goals Against | 2.7 |
| Hits | 18.8 |
| Shots Blocked | 7.7 |
| Pim | 11.4 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 84,884,524$ | 0$ | 86,978,714$ | 10,615,476$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Scotiabank Arena | |
| City | Toronto | ||
| 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 | 85310 | 70494 | 28433 | 56208 | 13787 |
| Attendance PCT | 94.79% | 93.99% | 94.78% | 93.68% | 91.91% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 26 | 16949 - 94.16% | 1,552,928$ | 23,293,914$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 84,884,524$ | 84,884,524$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 24,907,262$ | 442,107$ | 24,641,627$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 40,376,118$ | 141 | 447,315$ | 63,071,415$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 65,557,116$ | 84,884,524$ | 76,801,941$ | 51,620,943$ |
Rookie
Injured
Cold Streak
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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 |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Antonin Verreault | 2022 | 87 | |||
| Benjamin Rautiainen | 2025 | 124 | |||
| Brent Johnson | 2021 | 62 | |||
| Filip Ekberg | 2025 | 110 | |||
| Gavin Hodnett | 2024 | 217 | |||
| Hugo Zetterlund | 2024 | 218 | |||
| Ilya Nazarov | 2021 | 197 | |||
| Jack Pridham | 2024 | 101 | |||
| Jackson Hallum | 2020 | 117 | |||
| Jacob Cederholm | |||||
| Jakob Ihs-Wozniak | 2025 | 43 | |||
| John Whipple | 2024 | 124 | |||
| Kirill Slepets | 2019 | 108 | |||
| Radovan Bondra | 3.5 - 2.5 | ||||
| Ruben Rafkin | 2020 | 92 | |||
| Spencer Sova | 2022 | 221 | |||
| Tyler Muszelik | 2022 | 161 | |||
| Viktor Klingsell | 2025 | 108 |
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