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Full Scoreboard »» |
| Toronto Maple Leafs 30-11-3, 63pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Leon Draisaitl (A) | 29 | C/LW/RW | 100.00 | 59 | 33 | 83 | 91 | 82 | 91 | 89 | 86 | 89 | 88 | 93 | 56 | 90 | 77 | 75 | 0 | 74 | 94 | 30 | 14,000,000$/8yrs | |||
Artemi Panarin | 10 | LW | 100.00 | 56 | 32 | 91 | 84 | 68 | 88 | 90 | 77 | 55 | 82 | 82 | 50 | 79 | 83 | 82 | 0 | 63 | 87 | 34 | 11,642,578$/1yrs | |||
Tage Thompson (C) | 72 | C/LW/RW | 100.00 | 69 | 38 | 81 | 80 | 91 | 85 | 90 | 77 | 80 | 74 | 87 | 61 | 82 | 73 | 71 | 0 | 75 | 87 | 28 | 7,142,856$/5yrs | |||
Steven Stamkos | 91 | C/LW/RW | 100.00 | 67 | 32 | 81 | 71 | 71 | 83 | 90 | 69 | 81 | 65 | 81 | 58 | 74 | 86 | 99 | 0 | 67 | 82 | 35 | 7,500,000$/2yrs | |||
Eetu Luostarinen | 27 | C/LW | 100.00 | 82 | 33 | 86 | 69 | 78 | 82 | 86 | 67 | 61 | 74 | 63 | 78 | 65 | 71 | 70 | 0 | 73 | 80 | 27 | 4,000,000$/4yrs | |||
Noah Cates | 22 | C/LW | 100.00 | 68 | 32 | 90 | 69 | 67 | 82 | 90 | 68 | 81 | 68 | 71 | 78 | 69 | 70 | 69 | 0 | 76 | 80 | 26 | 4,000,000$/4yrs | |||
Teuvo Teravainen | 86 | C/LW/RW | 100.00 | 59 | 32 | 95 | 70 | 73 | 84 | 90 | 66 | 71 | 75 | 66 | 69 | 66 | 78 | 77 | 0 | 68 | 79 | 31 | 6,000,000$/4yrs | |||
Jake Neighbours | 0 | LW/RW | 100.00 | 82 | 42 | 78 | 69 | 78 | 81 | 88 | 68 | 58 | 67 | 74 | 60 | 71 | 65 | 62 | 0 | 53 | 79 | 23 | 3,750,000$/2yrs | |||
Fabian Zetterlund | 20 | C/LW/RW | 100.00 | 78 | 33 | 93 | 68 | 83 | 81 | 90 | 65 | 61 | 66 | 70 | 63 | 68 | 69 | 68 | 0 | 77 | 78 | 26 | 3,000,000$/3yrs | |||
Alex Steeves | 21 | C/LW | 100.00 | 95 | 43 | 66 | 64 | 76 | 75 | 81 | 63 | 59 | 57 | 77 | 70 | 70 | 69 | 66 | 0 | 58 | 77 | 26 | 900,000$/1yrs | |||
Quinn Hutson | 17 | RW | 100.00 | 73 | 39 | 69 | 69 | 66 | 72 | 71 | 69 | 50 | 64 | 72 | 61 | 68 | 60 | 57 | 0 | 58 | 76 | 24 | 875,000$/1yrs | |||
Kevin Stenlund | 82 | C/RW | 100.00 | 63 | 34 | 84 | 61 | 88 | 79 | 90 | 59 | 87 | 62 | 64 | 76 | 62 | 74 | 73 | 0 | 77 | 75 | 29 | 1,000,000$/1yrs | |||
Charlie McAvoy (A) | 73 | D | 100.00 | 72 | 33 | 64 | 75 | 82 | 94 | 84 | 75 | 30 | 82 | 55 | 85 | 65 | 72 | 69 | 0 | 78 | 87 | 28 | 9,500,000$/5yrs | |||
Darren Raddysh | 43 | D | 100.00 | 67 | 40 | 81 | 75 | 79 | 90 | 88 | 67 | 30 | 82 | 79 | 63 | 73 | 76 | 74 | 0 | 48 | 86 | 29 | 1,750,000$/2yrs | |||
Dmitry Orlov | 9 | D | 100.00 | 73 | 33 | 86 | 67 | 81 | 90 | 90 | 64 | 30 | 75 | 54 | 68 | 59 | 83 | 82 | 0 | 72 | 81 | 34 | 6,000,000$/4yrs | |||
Sean Walker | 26 | D | 100.00 | 74 | 32 | 83 | 58 | 75 | 92 | 90 | 59 | 30 | 63 | 62 | 76 | 61 | 77 | 75 | 0 | 48 | 77 | 31 | 4,000,000$/3yrs | |||
Zeev Buium (R) | 8 | D | 100.00 | 58 | 32 | 89 | 67 | 72 | 85 | 90 | 56 | 30 | 70 | 62 | 51 | 59 | 58 | 57 | 0 | 73 | 75 | 20 | 916,667$/3yrs | |||
Haydn Fleury | 4 | D | 100.00 | 73 | 33 | 87 | 55 | 85 | 79 | 76 | 52 | 30 | 60 | 50 | 79 | 51 | 74 | 73 | 0 | 64 | 73 | 29 | 1,000,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jordan Harris | 0 | D | 100.00 | 64 | 32 | 94 | 55 | 73 | 75 | 73 | 51 | 30 | 60 | 57 | 56 | 54 | 67 | 66 | 0 | 43 | 69 | 25 | 1,400,000$/2yrs | |||
| TEAM AVERAGE | 100.00 | 70 | 35 | 83 | 69 | 77 | 84 | 86 | 66 | 55 | 70 | 69 | 66 | 68 | 73 | 72 | 0 | 66 | 80 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Casey DeSmith | 1 | 100.00 | 77 | 81 | 75 | 73 | 88 | 77 | 87 | 92 | 87 | 91 | 87 | 83 | 87 | 0 | 82 | 87 | 34 | 1,250,000$/2yrs |
Brandon Bussi | 35 | 100.00 | 81 | 83 | 75 | 92 | 85 | 80 | 85 | 86 | 88 | 84 | 85 | 72 | 76 | 0 | 64 | 87 | 27 | 1,200,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 79 | 82 | 75 | 83 | 87 | 79 | 86 | 89 | 88 | 88 | 86 | 78 | 82 | 0 | 73 | 87 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bruce Cassidy | 78 | 85 | 88 | 69 | 78 | 88 | 80 | CAN | 55 | 4 | 1,000,000$ |
| 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 | 44 | 26 | 30 | 56 | 10 | 17 | 5 | 51 | 200 | 63 | 143 | 13.00% | 7 | 20.25 | 6 | 11 | 17 | 164 | 0 | 1 | 1 | 8 | 5 | 1 | 54.91% | 1120 | 0 | 0 | 0 | 1 | 1.26 | 0 | 2 | |
| 2 | Artemi Panarin | 10 | LW | 44 | 23 | 26 | 49 | 11 | 6 | 0 | 27 | 178 | 40 | 124 | 12.92% | 5 | 18.89 | 7 | 10 | 17 | 148 | 0 | 0 | 0 | 9 | 1 | 3 | 43.48% | 69 | 0 | 0 | 0 | 1 | 1.18 | 1 | 1 | |
| 3 | Charlie McAvoy | 73 | D | 44 | 9 | 23 | 32 | 17 | 75 | 5 | 107 | 67 | 21 | 45 | 13.43% | 66 | 23.36 | 4 | 6 | 10 | 166 | 0 | 0 | 0 | 114 | 4 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.62 | 0 | 0 | |
| 4 | Teuvo Teravainen | 86 | C/LW/RW | 46 | 12 | 20 | 32 | -2 | 6 | 0 | 29 | 135 | 38 | 89 | 8.89% | 6 | 18.32 | 5 | 7 | 12 | 138 | 0 | 0 | 0 | 0 | 1 | 0 | 35.59% | 59 | 0 | 0 | 0 | 1 | 0.76 | 1 | 1 | |
| 5 | Tage Thompson | 72 | C/LW/RW | 44 | 14 | 14 | 28 | -1 | 32 | 10 | 46 | 153 | 42 | 91 | 9.15% | 3 | 19.57 | 5 | 2 | 7 | 161 | 0 | 0 | 0 | 0 | 2 | 1 | 42.11% | 57 | 0 | 0 | 0 | 0 | 0.65 | 1 | 2 | |
| 6 | Steven Stamkos | 91 | C/LW/RW | 42 | 13 | 12 | 25 | 20 | 28 | 0 | 85 | 116 | 33 | 70 | 11.21% | 4 | 20.32 | 6 | 1 | 7 | 175 | 0 | 0 | 0 | 0 | 2 | 1 | 50.85% | 118 | 0 | 0 | 0 | 1 | 0.59 | 0 | 1 | |
| 7 | Fabian Zetterlund | 20 | C/LW/RW | 44 | 9 | 15 | 24 | 10 | 28 | 0 | 59 | 103 | 26 | 65 | 8.74% | 4 | 14.92 | 2 | 4 | 6 | 110 | 0 | 0 | 0 | 24 | 1 | 0 | 35.48% | 62 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
| 8 | Dmitry Orlov | 9 | D | 40 | 4 | 17 | 21 | 14 | 32 | 0 | 40 | 55 | 17 | 31 | 7.27% | 45 | 24.69 | 0 | 2 | 2 | 135 | 1 | 0 | 1 | 132 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 9 | Jake Neighbours | 0 | LW/RW | 45 | 8 | 10 | 18 | 9 | 54 | 10 | 82 | 105 | 25 | 66 | 7.62% | 7 | 13.72 | 1 | 2 | 3 | 59 | 0 | 0 | 0 | 22 | 2 | 0 | 37.93% | 58 | 0 | 0 | 0 | 0 | 0.58 | 4 | 5 | |
| 10 | Darren Raddysh | 43 | D | 43 | 2 | 12 | 14 | -2 | 19 | 5 | 22 | 36 | 9 | 17 | 5.56% | 32 | 16.20 | 0 | 2 | 2 | 50 | 0 | 0 | 0 | 8 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 11 | Eetu Luostarinen | 27 | C/LW | 44 | 3 | 11 | 14 | -2 | 20 | 0 | 78 | 97 | 27 | 79 | 3.09% | 16 | 16.56 | 1 | 1 | 2 | 81 | 0 | 1 | 1 | 135 | 1 | 0 | 47.25% | 91 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 12 | Noah Cates | 22 | C/LW | 45 | 5 | 7 | 12 | 3 | 8 | 0 | 20 | 69 | 9 | 55 | 7.25% | 4 | 8.80 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 21 | 2 | 0 | 55.37% | 121 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 13 | Sean Walker | 26 | D | 43 | 1 | 7 | 8 | -6 | 34 | 0 | 65 | 26 | 13 | 19 | 3.85% | 54 | 17.85 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 133 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
| 14 | Kevin Stenlund | 82 | C/RW | 44 | 2 | 4 | 6 | -6 | 4 | 0 | 4 | 56 | 9 | 21 | 3.57% | 11 | 8.15 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 133 | 0 | 0 | 53.33% | 450 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 15 | Zeev Buium | 8 | D | 24 | 0 | 3 | 3 | -9 | 6 | 0 | 11 | 4 | 1 | 6 | 0.00% | 16 | 13.27 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 16 | Alex Steeves | 21 | C/LW | 15 | 0 | 1 | 1 | -6 | 6 | 0 | 21 | 15 | 6 | 9 | 0.00% | 0 | 6.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 17 | Jordan Harris | 0 | D | 29 | 0 | 1 | 1 | 5 | 16 | 0 | 13 | 2 | 3 | 4 | 0.00% | 13 | 11.33 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.06 | 0 | 0 | |
| 18 | Haydn Fleury | 4 | D | 2 | 0 | 0 | 0 | 0 | 6 | 0 | 2 | 2 | 1 | 2 | 0.00% | 3 | 12.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 19 | Quinn Hutson | 17 | RW | 5 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 3 | 2 | 2 | 0.00% | 0 | 4.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 687 | 131 | 213 | 344 | 63 | 397 | 35 | 763 | 1422 | 385 | 938 | 9.21% | 296 | 16.46 | 37 | 50 | 87 | 1417 | 2 | 2 | 4 | 797 | 23 | 7 | 51.74% | 2215 | 0 | 0 | 1 | 4 | 0.61 | 7 | 12 |
| 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 | Casey DeSmith | 8 | 4 | 1 | 0 | 0.917 | 2.14 | 392 | 0 | 0 | 14 | 169 | 0 | 0 | 0 | 0.000 | 0 | 5 | 34 | 1 | 1 | 1 | |
| 2 | Brandon Bussi | 4 | 2 | 1 | 1 | 0.902 | 3.43 | 245 | 2 | 0 | 14 | 143 | 0 | 0 | 0 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | |
| Team Total or Average | 12 | 6 | 2 | 1 | 0.910 | 2.64 | 637 | 2 | 0 | 28 | 312 | 0 | 0 | 0 | 0.500 | 2 | 9 | 40 | 1 | 1 | 1 |
| Projected Total Cap Hit | 89,924,607$ |
| Projected Cap Space | 5,575,393$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 44,984,097$ |
| Players In Salary Cap | 21 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Steeves | C/LW | 26 | 900,000$ | 900,000$ | |||||||
Artemi Panarin ![]() | LW | 34 | 11,642,578$ | 11,642,578$ | UFA | ||||||
Brandon Bussi | G | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Casey DeSmith | G | 34 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Charlie McAvoy ![]() | D | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Darren Raddysh ![]() | D | 29 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 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$ | |||||
Haydn Fleury | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Jake Neighbours ![]() | LW/RW | 23 | 3,750,000$ | 3,750,000$ | 3,750,000$ | RFA | |||||
Jordan Harris ![]() | D | 25 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
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$ |
Noah Cates ![]() | C/LW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Quinn Hutson | RW | 24 | 875,000$ | 875,000$ | RFA | ||||||
Sean Walker ![]() | D | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 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 | ||
Teuvo Teravainen ![]() | C/LW/RW | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Zeev Buium | D | 20 | 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 | 25 | 925,000$ | 925,000$ | RFA | ||||||
Braeden Cootes | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
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 | ||||
Chase Pietila | D | 21 | 0$ | 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 | ||||||
Ian Moore | D | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jackson Hallum | LW | 23 | 0$ | RFA | |||||||
Jan Jenik | RW | 25 | 900,000$ | 900,000$ | RFA | ||||||
Jaycob Megna | D | 33 | 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 | |||||
Matthew Peca | C/LW/RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Michael Benning | D | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Michael Brandsegg-Nygard | LW/RW | 20 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
Nate Danielson | C | 21 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
Noah Beck | D | 24 | 975,000$ | 975,000$ | RFA | ||||||
Paul Cotter | C/LW/RW | 26 | 775,000$ | 775,000$ | |||||||
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 | 25 | 900,000$ | 900,000$ | RFA | ||||||
Taylor Raddysh | RW | 27 | 800,000$ | 800,000$ | |||||||
Thomas Bordeleau | C/LW | 24 | 950,000$ | 950,000$ | RFA | ||||||
Travis Boyd | C/LW/RW | 32 | 900,000$ | 900,000$ | UFA | ||||||
Trent Miner | G | 24 | 900,000$ | 900,000$ | RFA | ||||||
Tyson Kozak | C/LW | 23 | 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 | |||||
Zach Bogosian | D | 35 | 1,250,000$ | 1,250,000$ | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 27 | 18 | 23 | 7 | 14 | 7 | 60.0% | 13.2% | 89.5% | 102.6 | FUN | |
| 2 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 61 | 21 | 22 | 18 | 0 | 70 | 19 | 18 | 32 | 7 | 2 | 28.57% | 9 | 2 | 77.78% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 47 | 31 | 47 | 14 | 27 | 13 | 33.3% | 8.2% | 88.6% | 96.8 | Unlucky | |
| 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 5 | 2 | 2 | 0 | 84 | 27 | 22 | 35 | 0 | 64 | 18 | 12 | 31 | 10 | 5 | 50.00% | 5 | 1 | 80.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 52 | 38 | 42 | 13 | 24 | 12 | 40.0% | 10.7% | 89.1% | 99.8 | FUN | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 34 | 16 | 5 | 13 | 0 | 26 | 12 | 8 | 18 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 24 | 17 | 23 | 7 | 12 | 5 | 75.0% | 8.8% | 96.2% | 105.0 | DULL | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 8 | 13 | 8 | 0 | 46 | 10 | 18 | 26 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 21 | 14 | 24 | 7 | 13 | 6 | 40.0% | 6.9% | 91.3% | 98.2 | DULL | |
| 6 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 4 | 2 | 2 | 1 | 64 | 16 | 28 | 17 | 3 | 63 | 19 | 20 | 45 | 9 | 2 | 22.22% | 10 | 3 | 70.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 45 | 31 | 51 | 15 | 24 | 12 | 70.0% | 14.1% | 90.5% | 104.5 | FUN | |
| 7 | 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 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 27 | 20 | 20 | 7 | 12 | 6 | 100.0% | 5.7% | 100.0% | 105.7 | DULL | |
| 8 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 1 | 3 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 97 | 26 | 33 | 37 | 4 | 90 | 23 | 37 | 60 | 11 | 3 | 27.27% | 16 | 1 | 93.75% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 72 | 50 | 74 | 22 | 37 | 17 | 44.4% | 7.2% | 93.3% | 100.5 | DULL | |
| 9 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 6 | 1.000 | 10 | 19 | 29 | 0 | 1 | 2 | 3 | 5 | 0 | 113 | 48 | 37 | 28 | 0 | 77 | 25 | 31 | 62 | 12 | 3 | 25.00% | 13 | 2 | 84.62% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 76 | 53 | 64 | 22 | 38 | 19 | 87.5% | 8.8% | 96.1% | 105.0 | DULL | |
| 10 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 5 | 0 | 0 | 1 | 73 | 26 | 24 | 20 | 3 | 72 | 32 | 8 | 43 | 11 | 1 | 9.09% | 4 | 2 | 50.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 50 | 36 | 46 | 14 | 25 | 13 | 45.5% | 8.2% | 88.9% | 97.1 | Unlucky | |
| 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 41 | 14 | 12 | 15 | 0 | 29 | 13 | 10 | 21 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 23 | 16 | 22 | 7 | 13 | 7 | 75.0% | 12.2% | 96.6% | 108.7 | LUCKY | |
| 12 | 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 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 27 | 19 | 19 | 7 | 12 | 6 | 60.0% | 11.4% | 90.9% | 102.3 | FUN | |
| 13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 3 | 4 | 3 | 0 | 82 | 31 | 25 | 26 | 0 | 59 | 16 | 20 | 34 | 12 | 4 | 33.33% | 10 | 0 | 100.00% | 1 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 54 | 39 | 41 | 14 | 23 | 12 | 66.7% | 12.2% | 94.9% | 107.1 | LUCKY | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 54 | 21 | 13 | 20 | 0 | 11 | 5 | 6 | 22 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 30 | 21 | 16 | 7 | 13 | 7 | 66.7% | 5.6% | 90.9% | 96.5 | Unlucky | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 3 | 0 | 0 | 29 | 11 | 13 | 5 | 0 | 30 | 9 | 4 | 22 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 24 | 17 | 23 | 7 | 11 | 6 | 42.9% | 17.2% | 86.7% | 103.9 | FUN | |
| 16 | 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 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 20 | 13 | 28 | 6 | 11 | 5 | 14.3% | 5.6% | 80.6% | 86.2 | Unlucky | |
| 17 | 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 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 29 | 21 | 21 | 7 | 11 | 6 | 25.0% | 3.6% | 90.0% | 93.6 | Unlucky | |
| 18 | 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 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 56 | 41 | 38 | 12 | 24 | 13 | 63.6% | 8.9% | 89.6% | 98.4 | Unlucky | |
| 19 | 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 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 50 | 36 | 43 | 15 | 25 | 11 | 28.6% | 8.8% | 86.4% | 95.3 | Unlucky | |
| 20 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 5 | 2 | 2 | 0 | 85 | 31 | 27 | 27 | 0 | 35 | 8 | 9 | 35 | 11 | 1 | 9.09% | 2 | 0 | 100.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 53 | 39 | 40 | 13 | 25 | 15 | 66.7% | 10.6% | 88.6% | 99.2 | FUN | |
| 21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 74 | 38 | 20 | 16 | 0 | 50 | 19 | 18 | 32 | 6 | 1 | 16.67% | 8 | 0 | 100.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 55 | 40 | 39 | 13 | 24 | 13 | 44.4% | 6.8% | 90.0% | 96.8 | Unlucky | |
| 22 | 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 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 72 | 50 | 71 | 20 | 36 | 18 | 40.0% | 7.0% | 87.7% | 94.8 | Unlucky | |
| 23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 4 | 0 | 0 | 38 | 16 | 11 | 11 | 0 | 28 | 8 | 10 | 23 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 27 | 19 | 19 | 7 | 12 | 6 | 57.1% | 13.2% | 85.7% | 98.9 | FUN | |
| 24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 26 | 4 | 8 | 14 | 0 | 36 | 7 | 4 | 23 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 23 | 15 | 24 | 7 | 12 | 5 | 60.0% | 23.1% | 88.9% | 112.0 | FUN | |
| 25 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 6 | 1.000 | 11 | 18 | 29 | 0 | 0 | 2 | 4 | 5 | 0 | 112 | 45 | 37 | 30 | 0 | 73 | 26 | 18 | 62 | 16 | 2 | 12.50% | 9 | 1 | 88.89% | 1 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 77 | 55 | 64 | 22 | 37 | 19 | 75.0% | 9.8% | 94.5% | 104.3 | LUCKY | |
| 26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 40 | 17 | 17 | 6 | 0 | 35 | 11 | 12 | 19 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 25 | 19 | 23 | 6 | 11 | 5 | 40.0% | 7.5% | 88.6% | 96.1 | Unlucky | |
| 27 | 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 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 26 | 18 | 22 | 7 | 13 | 6 | 75.0% | 8.1% | 91.7% | 99.8 | DULL | |
| _Vs Division | 14 | 9 | 4 | 0 | 0 | 0 | 0 | 1 | 41 | 29 | 12 | 19 | 0.679 | 41 | 74 | 115 | 0 | 1 | 16 | 6 | 19 | 0 | 519 | 196 | 161 | 161 | 4 | 361 | 104 | 140 | 269 | 54 | 12 | 22.22% | 60 | 7 | 88.33% | 0 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 366 | 260 | 301 | 102 | 176 | 89 | 56.9% | 7.9% | 92.0% | 99.9 | DULL | |
| _Vs Conference | 30 | 17 | 9 | 0 | 2 | 1 | 0 | 1 | 93 | 79 | 14 | 40 | 0.667 | 93 | 169 | 262 | 0 | 2 | 37 | 19 | 35 | 2 | 1091 | 382 | 356 | 346 | 10 | 871 | 268 | 279 | 585 | 121 | 26 | 21.49% | 121 | 21 | 82.64% | 2 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 761 | 539 | 671 | 216 | 378 | 192 | 53.6% | 8.5% | 90.9% | 99.5 | Unlucky | |
| _Since Last GM Reset | 44 | 26 | 11 | 0 | 3 | 2 | 1 | 1 | 151 | 120 | 31 | 63 | 0.716 | 151 | 272 | 423 | 0 | 2 | 60 | 41 | 46 | 4 | 1615 | 560 | 528 | 514 | 18 | 1268 | 378 | 423 | 856 | 187 | 41 | 21.93% | 173 | 26 | 84.97% | 4 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 1126 | 799 | 982 | 317 | 552 | 283 | 53.9% | 9.3% | 90.5% | 99.9 | FUN | |
| Total | 44 | 26 | 11 | 0 | 3 | 2 | 1 | 1 | 151 | 120 | 31 | 63 | 0.716 | 151 | 272 | 423 | 0 | 2 | 60 | 41 | 46 | 4 | 1615 | 560 | 528 | 514 | 18 | 1268 | 378 | 423 | 856 | 187 | 41 | 21.93% | 173 | 26 | 84.97% | 4 | 909 | 1726 | 52.67% | 801 | 1477 | 54.23% | 375 | 700 | 53.57% | 1126 | 799 | 982 | 317 | 552 | 283 | 53.9% | 9.3% | 90.5% | 99.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1726 |
| Neutral Zone Start | 700 |
| Defensive Zone Start | 1477 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2085 |
| Faceoffs Lost | 1818 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.7 | 9.57 |
| 2nd Period | 24.7 | 20.31 |
| 3rd Period | 36.4 | 30.68 |
| Overtime | 36.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.3 | 1.65 |
| 3rd Period | 3.3 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 106 |
|---|---|
| PP Goal | 41 |
| PK Goal | 4 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 23 | 7 |
| Lost | 2 | 9 |
| Overtime Lost | 1 | 2 |
| PP Attempt | 187 |
|---|---|
| PP Goal | 41 |
| PK Attempt | 173 |
| PK Goal Against | 26 |
| Home | |
|---|---|
| Shots For | 36.7 |
| Shots Against | 28.8 |
| Goals For | 3.4 |
| Goals Against | 2.7 |
| Hits | 19.5 |
| Shots Blocked | 8.6 |
| Pim | 9.6 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Canadiens0,Maple Leafs4 | RECAP | |||||||||||
| 2025-10-12 | @ | Maple Leafs1,Red Wings2 | RECAP | |||||||||||
| 2025-10-14 | @ | Red Wings1,Maple Leafs4 | RECAP | |||||||||||
| 2025-10-15 | @ | Predators1,Maple Leafs6 | RECAP | |||||||||||
| 2025-10-17 | @ | Rangers0,Maple Leafs2 | RECAP | |||||||||||
| 2025-10-19 | @ | Kraken2,Maple Leafs3 (OT) | RECAP | |||||||||||
| 2025-10-22 | @ | Devils3,Maple Leafs4 | RECAP | |||||||||||
| 2025-10-25 | @ | Maple Leafs3,Sabres6 | RECAP | |||||||||||
| 2025-10-26 | @ | Sabres2,Maple Leafs3 | RECAP | |||||||||||
| 2025-10-29 | @ | Flames4,Maple Leafs5 (SO) | RECAP | |||||||||||
| 2025-10-30 | @ | Maple Leafs1,Blue Jackets4 | RECAP | |||||||||||
| 2025-11-02 | @ | Maple Leafs2,Flyers3 (OT) | RECAP | |||||||||||
| 2025-11-04 | @ | Penguins1,Maple Leafs2 | RECAP | |||||||||||
| 2025-11-06 | @ | Mammoth3,Maple Leafs2 (OT) | RECAP | |||||||||||
| 2025-11-09 | @ | Bruins1,Maple Leafs4 | RECAP | |||||||||||
| 2025-11-10 | @ | Hurricanes4,Maple Leafs5 (OT) | RECAP | |||||||||||
| 2025-11-12 | @ | Maple Leafs3,Bruins4 | RECAP | |||||||||||
| 2025-11-14 | @ | Kings2,Maple Leafs4 | RECAP | |||||||||||
| 2025-11-16 | @ | Maple Leafs4,Blackhawks1 | RECAP | |||||||||||
| 2025-11-19 | @ | Blues6,Maple Leafs1 | RECAP | |||||||||||
| 2025-11-21 | @ | Blue Jackets2,Maple Leafs4 | RECAP | |||||||||||
| 2025-11-23 | @ | Maple Leafs4,Canadiens2 | RECAP | |||||||||||
| 2025-11-27 | @ | Maple Leafs3,Blue Jackets7 | RECAP | |||||||||||
| 2025-11-29 | @ | Maple Leafs5,Capitals4 (OT) | RECAP | |||||||||||
| 2025-11-30 | @ | Maple Leafs4,Penguins2 | RECAP | |||||||||||
| 2025-12-03 | @ | Maple Leafs2,Panthers3 | RECAP | |||||||||||
| 2025-12-05 | @ | Maple Leafs4,Hurricanes2 | RECAP | |||||||||||
| 2025-12-07 | @ | Canadiens1,Maple Leafs2 | RECAP | |||||||||||
| 2025-12-09 | @ | Lightning1,Maple Leafs3 | RECAP | |||||||||||
| 2025-12-12 | @ | Sharks4,Maple Leafs3 | RECAP | |||||||||||
| 2025-12-14 | @ | Oilers4,Maple Leafs5 | RECAP | |||||||||||
| 2025-12-17 | @ | Blackhawks3,Maple Leafs5 | RECAP | |||||||||||
| 2025-12-19 | @ | Maple Leafs1,Capitals4 | RECAP | |||||||||||
| 2025-12-21 | @ | Maple Leafs4,Predators2 | RECAP | |||||||||||
| 2025-12-22 | @ | Maple Leafs6,Stars4 | RECAP | |||||||||||
| 2025-12-24 | @ | Penguins1,Maple Leafs5 | RECAP | |||||||||||
| 2025-12-28 | @ | Senators1,Maple Leafs3 | RECAP | |||||||||||
| 2025-12-29 | @ | Maple Leafs2,Red Wings3 (SO) | RECAP | |||||||||||
| 2025-12-31 | @ | Devils4,Maple Leafs5 | RECAP | |||||||||||
| 2026-01-02 | @ | Jets4,Maple Leafs5 | RECAP | |||||||||||
| 2026-01-04 | @ | Maple Leafs2,Islanders4 | RECAP | |||||||||||
| 2026-01-07 | @ | Panthers2,Maple Leafs3 | RECAP | |||||||||||
| 2026-01-09 | @ | Maple Leafs3,Flyers5 | RECAP | |||||||||||
| 2026-01-11 | @ | Canucks1,Maple Leafs5 | RECAP | |||||||||||
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| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 90,827,102$ | 0$ | 89,924,607$ | 4,672,898$ |
| 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 | 148072 | 122937 | 49560 | 98863 | 24101 |
| Attendance PCT | 94.92% | 94.57% | 95.31% | 95.06% | 92.70% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 15 | 17059 - 94.77% | 1,560,490$ | 40,572,732$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 90,827,102$ | 90,827,102$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 45,489,311$ | 473,058$ | 44,984,097$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 23,407,345$ | 95 | 478,266$ | 45,435,270$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 47,068,461$ | 90,827,102$ | 72,581,299$ | 48,920,183$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2026 | ||||||||
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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 | |||
| Cameron Reid | 2025 | 16 | |||
| David Lewandowski | 2025 | 88 | |||
| Filip Ekberg | 2025 | 110 | |||
| Gavin Hodnett | 2024 | 217 | |||
| Hugo Zetterlund | 2024 | 218 | |||
| Ilya Nazarov | 2021 | 197 | |||
| Jack Pridham | 2024 | 101 | |||
| Jacob Cederholm | |||||
| Jakob Ihs-Wozniak | 2025 | 43 | |||
| Jakub Fibigr | 2024 | 209 | |||
| John Whipple | 2024 | 124 | |||
| Kirill Slepets | 2019 | 108 | |||
| Lynden Lakovic | 2025 | 18 | |||
| Mikhail Ilyin | 2023 | 165 | |||
| 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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