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Full Scoreboard »» |
| Toronto Maple Leafs 48-16-5, 101pts · 1st 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 | 85 | 94 | 30 | 14,000,000$/8yrs | |||
Tage Thompson (C) | 72 | C/LW/RW | 100.00 | 68 | 38 | 81 | 83 | 91 | 85 | 90 | 79 | 81 | 78 | 88 | 61 | 82 | 73 | 71 | 0 | 83 | 88 | 28 | 7,142,856$/5yrs | |||
Artemi Panarin | 10 | LW | 100.00 | 55 | 32 | 89 | 84 | 68 | 88 | 90 | 77 | 65 | 86 | 79 | 51 | 78 | 83 | 82 | 0 | 81 | 87 | 34 | 11,642,578$/1yrs | |||
Josh Norris | 9 | C | 100.00 | 80 | 33 | 78 | 74 | 78 | 85 | 79 | 72 | 86 | 69 | 79 | 77 | 76 | 70 | 68 | 0 | 64 | 83 | 26 | 7,250,000$/3yrs | |||
Steven Stamkos | 91 | C/LW/RW | 100.00 | 68 | 32 | 84 | 73 | 71 | 83 | 90 | 71 | 80 | 66 | 85 | 58 | 78 | 86 | 99 | 0 | 82 | 83 | 36 | 7,500,000$/2yrs | |||
Eetu Luostarinen | 27 | C/LW | 100.00 | 82 | 33 | 86 | 69 | 78 | 82 | 86 | 67 | 61 | 74 | 63 | 78 | 65 | 71 | 70 | 0 | 85 | 80 | 27 | 4,000,000$/4yrs | |||
Noah Cates | 22 | C/LW | 100.00 | 68 | 32 | 90 | 69 | 67 | 82 | 90 | 68 | 81 | 68 | 71 | 78 | 69 | 70 | 69 | 0 | 86 | 80 | 27 | 4,000,000$/4yrs | |||
Teuvo Teravainen | 86 | C/LW/RW | 100.00 | 59 | 32 | 95 | 70 | 73 | 84 | 90 | 66 | 71 | 75 | 66 | 69 | 66 | 78 | 77 | 0 | 83 | 79 | 31 | 6,000,000$/4yrs | |||
Jake Neighbours | 63 | LW/RW | 100.00 | 82 | 42 | 78 | 69 | 78 | 81 | 88 | 68 | 58 | 67 | 74 | 60 | 71 | 65 | 62 | 0 | 72 | 79 | 23 | 3,750,000$/2yrs | |||
Erik Haula | 56 | C/LW/RW | 100.00 | 71 | 32 | 80 | 65 | 73 | 81 | 90 | 63 | 83 | 70 | 64 | 75 | 64 | 84 | 82 | 0 | 54 | 78 | 34 | 3,150,000$/1yrs | |||
Fabian Zetterlund | 20 | C/LW/RW | 100.00 | 78 | 33 | 93 | 68 | 83 | 81 | 90 | 65 | 61 | 66 | 70 | 63 | 68 | 69 | 68 | 0 | 87 | 78 | 26 | 3,000,000$/3yrs | |||
Kevin Stenlund | 82 | C/RW | 100.00 | 63 | 34 | 84 | 61 | 88 | 79 | 90 | 59 | 87 | 62 | 64 | 76 | 62 | 74 | 73 | 0 | 87 | 75 | 29 | 1,000,000$/1yrs | |||
Charlie McAvoy (A) | 73 | D | 100.00 | 71 | 33 | 67 | 80 | 82 | 93 | 86 | 77 | 30 | 87 | 61 | 85 | 69 | 73 | 69 | 0 | 86 | 90 | 28 | 9,500,000$/5yrs | |||
Darren Raddysh | 43 | D | 100.00 | 68 | 38 | 83 | 78 | 79 | 91 | 88 | 68 | 30 | 85 | 80 | 62 | 74 | 76 | 74 | 0 | 72 | 88 | 30 | 1,750,000$/2yrs | |||
Erik Karlsson | 65 | D | 100.00 | 56 | 32 | 88 | 73 | 74 | 92 | 89 | 68 | 30 | 81 | 60 | 70 | 64 | 86 | 96 | 0 | 66 | 85 | 35 | 11,500,000$/2yrs | |||
Jackson LaCombe | 2 | D | 100.00 | 66 | 32 | 93 | 73 | 69 | 94 | 90 | 70 | 30 | 79 | 62 | 80 | 66 | 67 | 66 | 0 | 67 | 85 | 25 | 1,500,000$/9yrs | |||
John Marino | 6 | D | 100.00 | 58 | 32 | 93 | 67 | 72 | 87 | 90 | 62 | 30 | 74 | 59 | 66 | 60 | 73 | 72 | 0 | 67 | 79 | 28 | 4,400,000$/3yrs | |||
Sean Walker | 26 | D | 100.00 | 74 | 32 | 83 | 58 | 75 | 92 | 90 | 59 | 30 | 63 | 62 | 76 | 61 | 77 | 75 | 0 | 72 | 77 | 31 | 4,000,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 68 | 34 | 85 | 73 | 77 | 86 | 89 | 69 | 60 | 74 | 71 | 69 | 70 | 75 | 75 | 0 | 77 | 83 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Bussi | 35 | 100.00 | 80 | 86 | 77 | 92 | 87 | 83 | 86 | 88 | 90 | 87 | 86 | 72 | 76 | 0 | 81 | 89 | 27 | 1,200,000$/2yrs |
Casey DeSmith | 1 | 100.00 | 77 | 81 | 75 | 73 | 88 | 77 | 87 | 92 | 87 | 91 | 87 | 83 | 87 | 0 | 85 | 87 | 34 | 1,250,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 79 | 84 | 76 | 83 | 88 | 80 | 87 | 90 | 89 | 89 | 87 | 78 | 82 | 0 | 83 | 88 | |||
| 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 | 69 | 45 | 47 | 92 | 27 | 21 | 5 | 68 | 338 | 102 | 246 | 13.31% | 12 | 20.52 | 8 | 18 | 26 | 252 | 0 | 1 | 1 | 15 | 8 | 3 | 54.51% | 1763 | 0 | 0 | 0 | 1 | 1.30 | 0 | 4 | |
| 2 | Artemi Panarin | 10 | LW | 69 | 30 | 42 | 72 | 26 | 8 | 0 | 34 | 263 | 60 | 189 | 11.41% | 5 | 19.61 | 7 | 16 | 23 | 236 | 0 | 0 | 0 | 22 | 3 | 5 | 43.69% | 103 | 0 | 0 | 0 | 1 | 1.06 | 2 | 3 | |
| 3 | Charlie McAvoy | 73 | D | 69 | 16 | 44 | 60 | 23 | 113 | 5 | 179 | 119 | 42 | 71 | 13.45% | 92 | 23.57 | 9 | 9 | 18 | 259 | 0 | 1 | 1 | 167 | 5 | 2 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.74 | 0 | 0 | |
| 4 | Jackson LaCombe | 2 | D | 67 | 11 | 48 | 59 | 6 | 38 | 0 | 96 | 150 | 57 | 101 | 7.33% | 132 | 24.06 | 8 | 7 | 15 | 219 | 0 | 0 | 0 | 217 | 5 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.73 | 0 | 0 | |
| 5 | Josh Norris | 9 | C | 65 | 23 | 34 | 57 | -10 | 26 | 0 | 108 | 244 | 86 | 179 | 9.43% | 22 | 20.04 | 6 | 12 | 18 | 202 | 0 | 0 | 0 | 104 | 2 | 4 | 48.29% | 1696 | 0 | 0 | 0 | 0 | 0.88 | 0 | 2 | |
| 6 | Tage Thompson | 72 | C/LW/RW | 69 | 24 | 26 | 50 | -5 | 45 | 15 | 75 | 276 | 73 | 182 | 8.70% | 5 | 19.59 | 6 | 9 | 15 | 246 | 0 | 0 | 0 | 0 | 4 | 2 | 50.54% | 93 | 0 | 0 | 1 | 0 | 0.74 | 2 | 4 | |
| 7 | Erik Karlsson | 65 | D | 70 | 10 | 35 | 45 | -21 | 40 | 0 | 82 | 96 | 31 | 63 | 10.42% | 81 | 23.39 | 7 | 9 | 16 | 217 | 0 | 1 | 1 | 178 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 8 | Teuvo Teravainen | 86 | C/LW/RW | 71 | 17 | 24 | 41 | 4 | 10 | 0 | 43 | 181 | 51 | 130 | 9.39% | 7 | 16.28 | 5 | 8 | 13 | 200 | 0 | 0 | 0 | 0 | 1 | 1 | 44.19% | 86 | 0 | 0 | 0 | 1 | 0.71 | 1 | 1 | |
| 9 | Steven Stamkos | 91 | C/LW/RW | 67 | 19 | 20 | 39 | 19 | 34 | 0 | 118 | 171 | 46 | 117 | 11.11% | 5 | 19.41 | 8 | 2 | 10 | 254 | 0 | 0 | 0 | 0 | 4 | 1 | 52.02% | 594 | 0 | 0 | 0 | 1 | 0.60 | 0 | 1 | |
| 10 | Darren Raddysh | 43 | D | 68 | 6 | 25 | 31 | 8 | 43 | 5 | 54 | 78 | 23 | 31 | 7.69% | 48 | 17.94 | 1 | 3 | 4 | 140 | 0 | 0 | 0 | 15 | 1 | 3 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 11 | Fabian Zetterlund | 20 | C/LW/RW | 69 | 13 | 18 | 31 | 16 | 34 | 0 | 89 | 145 | 35 | 92 | 8.97% | 7 | 12.87 | 2 | 4 | 6 | 117 | 0 | 0 | 0 | 24 | 1 | 0 | 37.97% | 79 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
| 12 | Noah Cates | 22 | C/LW | 70 | 10 | 21 | 31 | 10 | 14 | 0 | 39 | 138 | 33 | 97 | 7.25% | 8 | 11.01 | 1 | 5 | 6 | 95 | 0 | 0 | 0 | 65 | 3 | 1 | 53.26% | 475 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |
| 13 | Erik Haula | 56 | C/LW/RW | 67 | 15 | 15 | 30 | -11 | 51 | 15 | 95 | 136 | 47 | 121 | 11.03% | 14 | 18.27 | 2 | 5 | 7 | 183 | 1 | 0 | 1 | 144 | 4 | 0 | 52.77% | 1518 | 0 | 0 | 2 | 0 | 0.49 | 0 | 1 | |
| 14 | Eetu Luostarinen | 27 | C/LW | 69 | 10 | 20 | 30 | -5 | 40 | 0 | 130 | 183 | 41 | 141 | 5.46% | 30 | 18.22 | 5 | 3 | 8 | 138 | 0 | 2 | 2 | 212 | 4 | 0 | 42.75% | 131 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 15 | Jake Neighbours | 63 | LW/RW | 70 | 10 | 16 | 26 | 24 | 75 | 25 | 149 | 131 | 33 | 84 | 7.63% | 8 | 14.62 | 1 | 2 | 3 | 59 | 0 | 0 | 0 | 22 | 3 | 0 | 41.76% | 91 | 0 | 0 | 0 | 0 | 0.51 | 4 | 5 | |
| 16 | John Marino | 6 | D | 58 | 1 | 17 | 18 | -18 | 38 | 0 | 90 | 60 | 18 | 54 | 1.67% | 73 | 19.38 | 1 | 7 | 8 | 116 | 0 | 0 | 0 | 137 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 17 | Sean Walker | 26 | D | 68 | 2 | 13 | 15 | 3 | 56 | 0 | 106 | 41 | 18 | 37 | 4.88% | 95 | 18.10 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 194 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 18 | Kevin Stenlund | 82 | C/RW | 69 | 4 | 6 | 10 | -8 | 4 | 0 | 6 | 73 | 15 | 35 | 5.48% | 16 | 8.38 | 0 | 1 | 1 | 2 | 2 | 0 | 2 | 227 | 0 | 0 | 53.47% | 763 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| Team Total or Average | 1224 | 266 | 471 | 737 | 88 | 690 | 70 | 1561 | 2823 | 811 | 1970 | 9.42% | 660 | 18.03 | 77 | 120 | 197 | 2947 | 3 | 5 | 8 | 1750 | 48 | 24 | 51.47% | 7392 | 0 | 0 | 5 | 4 | 0.67 | 9 | 21 |
| 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 | 18 | 12 | 2 | 0 | 0.912 | 2.41 | 920 | 0 | 0 | 37 | 422 | 0 | 0 | 0 | 0.667 | 3 | 14 | 50 | 1 | 3 | 1 | |
| 2 | Brandon Bussi | 21 | 12 | 5 | 3 | 0.908 | 2.67 | 1234 | 2 | 3 | 55 | 597 | 0 | 0 | 1 | 0.600 | 5 | 20 | 15 | 3 | 0 | 0 | |
| Team Total or Average | 39 | 24 | 7 | 3 | 0.910 | 2.56 | 2154 | 2 | 3 | 92 | 1019 | 0 | 0 | 1 | 0.625 | 8 | 34 | 65 | 4 | 3 | 1 |
| Projected Total Cap Hit | 93,612,865$ |
| Projected Cap Space | 1,887,135$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 77,930,625$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 30 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Eetu Luostarinen ![]() | C/LW | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Erik Haula ![]() | C/LW/RW | 34 | 3,150,000$ | 3,150,000$ | UFA | ||||||
Erik Karlsson ![]() | D | 35 | 11,500,000$ | 11,500,000$ | 11,500,000$ | UFA | |||||
Fabian Zetterlund ![]() | C/LW/RW | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Jackson LaCombe ![]() | D | 25 | 1,500,000$ | 1,500,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ |
Jake Neighbours ![]() | LW/RW | 23 | 3,750,000$ | 3,750,000$ | 3,750,000$ | RFA | |||||
John Marino ![]() | D | 28 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | ||||
Josh Norris ![]() | C | 26 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 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$ |
Noah Cates ![]() | C/LW | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Sean Walker ![]() | D | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Steven Stamkos ![]() | C/LW/RW | 36 | 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 |
| 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 | ||||||
Alex Steeves | C/LW | 26 | 900,000$ | 900,000$ | |||||||
Braeden Cootes | C | 19 | 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 | 22 | 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 | ||||||
Haydn Fleury | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 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 | 36 | 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$ | |||||||
Quinn Hutson | RW | 24 | 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 | 25 | 900,000$ | 900,000$ | RFA | ||||||
Taylor Raddysh | RW | 28 | 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 | 25 | 900,000$ | 900,000$ | RFA | ||||||
Tyson Kozak | C/LW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Victor Soderstrom | D | 25 | 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 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 3 | 3 | 0 | 1 | 71 | 29 | 22 | 16 | 6 | 70 | 17 | 22 | 41 | 8 | 2 | 25.00% | 11 | 4 | 63.64% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 53 | 37 | 44 | 14 | 26 | 13 | 55.6% | 9.9% | 88.6% | 98.4 | FUN | |
| 2 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 8 | 0 | 3 | 0.500 | 8 | 16 | 24 | 0 | 1 | 4 | 1 | 3 | 0 | 88 | 30 | 26 | 32 | 0 | 81 | 23 | 26 | 53 | 10 | 2 | 20.00% | 12 | 2 | 83.33% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 74 | 51 | 66 | 20 | 39 | 19 | 50.0% | 9.1% | 90.1% | 99.2 | FUN | |
| 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 1.000 | 12 | 22 | 34 | 0 | 1 | 6 | 4 | 2 | 0 | 113 | 43 | 31 | 39 | 0 | 84 | 26 | 20 | 50 | 13 | 6 | 46.15% | 9 | 1 | 88.89% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 79 | 56 | 63 | 20 | 37 | 19 | 50.0% | 10.6% | 91.7% | 102.3 | LUCKY | |
| 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 1 | 5 | 2 | 0 | 75 | 29 | 21 | 25 | 0 | 48 | 28 | 16 | 42 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 49 | 34 | 46 | 14 | 24 | 11 | 70.0% | 10.7% | 91.7% | 102.3 | LUCKY | |
| 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 1 | 1 | 6 | 0 | 73 | 27 | 21 | 25 | 0 | 72 | 15 | 22 | 48 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 48 | 33 | 44 | 14 | 27 | 13 | 50.0% | 11.0% | 90.3% | 101.2 | FUN | |
| 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 45 | 31 | 51 | 15 | 24 | 12 | 70.0% | 14.1% | 90.5% | 104.5 | FUN | |
| 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 2 | 2 | 5 | 0 | 68 | 20 | 33 | 15 | 0 | 53 | 19 | 12 | 45 | 11 | 3 | 27.27% | 6 | 2 | 66.67% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 52 | 38 | 43 | 13 | 23 | 12 | 75.0% | 13.2% | 92.5% | 105.7 | LUCKY | |
| 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 1 | 1 | 1 | 2 | 2 | 0 | 75 | 19 | 24 | 32 | 0 | 42 | 15 | 2 | 52 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 51 | 36 | 44 | 14 | 24 | 12 | 44.4% | 6.7% | 88.1% | 94.8 | Unlucky | |
| 9 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 10 | 8 | 2 | 5 | 0.625 | 10 | 17 | 27 | 0 | 0 | 3 | 4 | 2 | 2 | 136 | 33 | 53 | 49 | 7 | 108 | 26 | 41 | 82 | 14 | 4 | 28.57% | 18 | 1 | 94.44% | 1 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 98 | 68 | 101 | 29 | 50 | 23 | 46.2% | 7.4% | 92.6% | 99.9 | DULL | |
| 10 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 8 | 1.000 | 11 | 21 | 32 | 0 | 2 | 2 | 3 | 6 | 0 | 137 | 59 | 40 | 38 | 0 | 115 | 34 | 39 | 79 | 14 | 4 | 28.57% | 17 | 2 | 88.24% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 103 | 72 | 87 | 29 | 49 | 25 | 87.5% | 8.0% | 97.4% | 105.4 | DULL | |
| 11 | 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 50 | 36 | 46 | 14 | 25 | 13 | 45.5% | 8.2% | 88.9% | 97.1 | Unlucky | |
| 12 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 3 | 3 | 1 | 0 | 80 | 26 | 26 | 27 | 1 | 51 | 20 | 28 | 42 | 12 | 3 | 25.00% | 7 | 2 | 71.43% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 54 | 37 | 41 | 14 | 25 | 13 | 50.0% | 8.8% | 88.2% | 97.0 | Unlucky | |
| 13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 2 | 3 | 0 | 80 | 26 | 25 | 29 | 0 | 62 | 17 | 18 | 39 | 7 | 3 | 42.86% | 8 | 1 | 87.50% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 49 | 35 | 44 | 14 | 25 | 13 | 83.3% | 10.0% | 96.8% | 106.8 | LUCKY | |
| 14 | 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 27 | 19 | 19 | 7 | 12 | 6 | 60.0% | 11.4% | 90.9% | 102.3 | FUN | |
| 15 | 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 54 | 39 | 41 | 14 | 23 | 12 | 66.7% | 12.2% | 94.9% | 107.1 | LUCKY | |
| 16 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 5 | 5 | 6 | 1.000 | 10 | 19 | 29 | 0 | 0 | 3 | 2 | 4 | 1 | 126 | 50 | 34 | 37 | 5 | 73 | 17 | 21 | 49 | 13 | 3 | 23.08% | 7 | 0 | 100.00% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 80 | 56 | 63 | 21 | 39 | 21 | 58.3% | 7.9% | 93.2% | 101.1 | DULL | |
| 17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 5 | 3 | 1 | 0 | 71 | 24 | 31 | 16 | 0 | 60 | 27 | 16 | 46 | 13 | 2 | 15.38% | 7 | 1 | 85.71% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 48 | 34 | 47 | 14 | 23 | 12 | 53.8% | 12.7% | 88.3% | 101.0 | FUN | |
| 18 | 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 20 | 13 | 28 | 6 | 11 | 5 | 14.3% | 5.6% | 80.6% | 86.2 | Unlucky | |
| 19 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 3 | 2 | 2 | 0 | 86 | 21 | 27 | 38 | 0 | 73 | 16 | 20 | 32 | 6 | 1 | 16.67% | 9 | 3 | 66.67% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 51 | 37 | 45 | 14 | 24 | 12 | 66.7% | 8.1% | 91.8% | 99.9 | DULL | |
| 20 | 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 56 | 41 | 38 | 12 | 24 | 13 | 63.6% | 8.9% | 89.6% | 98.4 | Unlucky | |
| 21 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 6 | 0.750 | 11 | 21 | 32 | 0 | 0 | 6 | 2 | 3 | 0 | 136 | 51 | 37 | 48 | 0 | 126 | 24 | 38 | 69 | 20 | 5 | 25.00% | 17 | 3 | 82.35% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 100 | 70 | 89 | 30 | 49 | 23 | 42.9% | 8.1% | 91.3% | 99.4 | DULL | |
| 22 | 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 53 | 39 | 40 | 13 | 25 | 15 | 66.7% | 10.6% | 88.6% | 99.2 | FUN | |
| 23 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 4 | 2 | 4 | 0 | 110 | 52 | 28 | 30 | 0 | 81 | 28 | 29 | 51 | 10 | 1 | 10.00% | 10 | 0 | 100.00% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 80 | 57 | 61 | 20 | 37 | 20 | 52.9% | 9.1% | 90.1% | 99.2 | FUN | |
| 24 | 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 72 | 50 | 71 | 20 | 36 | 18 | 40.0% | 7.0% | 87.7% | 94.8 | Unlucky | |
| 25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 5 | 0 | 0 | 69 | 35 | 19 | 15 | 0 | 59 | 16 | 22 | 48 | 10 | 1 | 10.00% | 10 | 1 | 90.00% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 53 | 38 | 43 | 14 | 23 | 11 | 50.0% | 10.1% | 88.1% | 98.3 | FUN | |
| 26 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 37 | 9 | 12 | 13 | 6 | 27 | 6 | 8 | 14 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 27 | 19 | 22 | 7 | 14 | 7 | 44.4% | 10.8% | 81.5% | 92.3 | FUN | |
| 27 | 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 23 | 15 | 24 | 7 | 12 | 5 | 60.0% | 23.1% | 88.9% | 112.0 | FUN | |
| 28 | 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 77 | 55 | 64 | 22 | 37 | 19 | 75.0% | 9.8% | 94.5% | 104.3 | LUCKY | |
| 29 | 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 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 25 | 19 | 23 | 6 | 11 | 5 | 40.0% | 7.5% | 88.6% | 96.1 | Unlucky | |
| 30 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 53 | 13 | 17 | 23 | 0 | 69 | 20 | 16 | 38 | 7 | 1 | 14.29% | 7 | 3 | 57.14% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 43 | 30 | 52 | 14 | 23 | 11 | 33.3% | 9.4% | 84.1% | 93.5 | FUN | |
| 31 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 1 | 2 | 78 | 32 | 22 | 20 | 4 | 42 | 9 | 6 | 47 | 7 | 1 | 14.29% | 2 | 1 | 50.00% | 0 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 58 | 42 | 40 | 14 | 26 | 13 | 60.0% | 9.0% | 88.1% | 97.1 | FUN | |
| _Vs Division | 22 | 15 | 4 | 0 | 1 | 0 | 1 | 1 | 67 | 44 | 23 | 35 | 0.795 | 67 | 122 | 189 | 0 | 2 | 21 | 19 | 25 | 3 | 799 | 295 | 244 | 254 | 12 | 599 | 165 | 202 | 411 | 82 | 18 | 21.95% | 85 | 8 | 90.59% | 1 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 569 | 401 | 488 | 158 | 276 | 139 | 57.6% | 8.4% | 92.7% | 101.0 | DULL | |
| _Vs Conference | 42 | 26 | 10 | 0 | 3 | 1 | 1 | 1 | 134 | 102 | 32 | 62 | 0.738 | 134 | 246 | 380 | 1 | 5 | 46 | 35 | 49 | 5 | 1511 | 535 | 473 | 491 | 18 | 1192 | 354 | 361 | 825 | 163 | 36 | 22.09% | 155 | 22 | 85.81% | 3 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 1069 | 752 | 941 | 302 | 529 | 268 | 55.1% | 8.9% | 91.4% | 100.3 | Unlucky | |
| _Since Last GM Reset | 69 | 41 | 16 | 0 | 5 | 3 | 2 | 2 | 237 | 186 | 51 | 101 | 0.732 | 237 | 434 | 671 | 1 | 5 | 84 | 69 | 77 | 8 | 2490 | 868 | 803 | 795 | 35 | 1976 | 576 | 625 | 1359 | 284 | 60 | 21.13% | 257 | 41 | 84.05% | 5 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 1768 | 1251 | 1546 | 495 | 864 | 441 | 55.0% | 9.5% | 90.6% | 100.1 | FUN | |
| Total | 69 | 41 | 16 | 0 | 5 | 3 | 2 | 2 | 237 | 186 | 51 | 101 | 0.732 | 237 | 434 | 671 | 1 | 5 | 84 | 69 | 77 | 8 | 2490 | 868 | 803 | 795 | 35 | 1976 | 576 | 625 | 1359 | 284 | 60 | 21.13% | 257 | 41 | 84.05% | 5 | 1388 | 2668 | 52.02% | 1241 | 2283 | 54.36% | 579 | 1069 | 54.16% | 1768 | 1251 | 1546 | 495 | 864 | 441 | 55.0% | 9.5% | 90.6% | 100.1 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2668 |
| Neutral Zone Start | 1069 |
| Defensive Zone Start | 2283 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3208 |
| Faceoffs Lost | 2812 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.6 | 9.57 |
| 2nd Period | 24.2 | 20.31 |
| 3rd Period | 35.7 | 30.68 |
| Overtime | 36.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.3 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 171 |
|---|---|
| PP Goal | 60 |
| PK Goal | 5 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 31 | 17 |
| Lost | 3 | 13 |
| Overtime Lost | 2 | 3 |
| PP Attempt | 284 |
|---|---|
| PP Goal | 60 |
| PK Attempt | 257 |
| PK Goal Against | 41 |
| Home | |
|---|---|
| Shots For | 36.1 |
| Shots Against | 28.6 |
| Goals For | 3.4 |
| Goals Against | 2.7 |
| Hits | 19.7 |
| Shots Blocked | 8.3 |
| Pim | 9.1 |
| 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 | |||||||||||
| 2026-01-13 | @ | Maple Leafs5,Avalanche2 | RECAP | |||||||||||
| 2026-01-14 | @ | Maple Leafs5,Mammoth3 | RECAP | |||||||||||
| 2026-01-16 | @ | Maple Leafs2,Golden Knights5 | RECAP | |||||||||||
| 2026-01-18 | @ | Maple Leafs2,Jets3 | RECAP | |||||||||||
| 2026-01-20 | @ | Wild3,Maple Leafs5 | RECAP | |||||||||||
| 2026-01-22 | @ | Red Wings2,Maple Leafs3 (SO) | RECAP | |||||||||||
| 2026-01-24 | @ | Golden Knights6,Maple Leafs3 | RECAP | |||||||||||
| 2026-01-26 | @ | Avalanche2,Maple Leafs4 | RECAP | |||||||||||
| 2026-01-28 | @ | Sabres1,Maple Leafs2 | RECAP | |||||||||||
| 2026-01-30 | @ | Maple Leafs4,Kraken3 (OT) | RECAP | |||||||||||
| 2026-02-01 | @ | Maple Leafs3,Canucks1 | RECAP | |||||||||||
| 2026-02-03 | @ | Maple Leafs2,Flames4 | RECAP | |||||||||||
| 2026-02-04 | @ | Maple Leafs4,Oilers3 | RECAP | |||||||||||
| 2026-02-26 | @ | Maple Leafs3,Lightning1 | RECAP | |||||||||||
| 2026-02-27 | @ | Maple Leafs5,Panthers3 | RECAP | |||||||||||
| 2026-03-01 | @ | Senators3,Maple Leafs5 | RECAP | |||||||||||
| 2026-03-03 | @ | Flyers0,Maple Leafs3 | RECAP | |||||||||||
| 2026-03-05 | @ | Maple Leafs3,Devils0 | RECAP | |||||||||||
| 2026-03-06 | @ | Maple Leafs3,Rangers5 | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | Lightning3,Maple Leafs4 (OT) | RECAP | |||||||||||
| 2026-03-11 | @ | Maple Leafs1,Canadiens0 | RECAP | |||||||||||
| 2026-03-13 | @ | Ducks5,Maple Leafs4 (SO) | RECAP | |||||||||||
| 2026-03-15 | @ | Maple Leafs3,Sabres2 | RECAP | |||||||||||
| 2026-03-16 | @ | Maple Leafs2,Wild3 (OT) | RECAP | |||||||||||
| 2026-03-18 | @ | Islanders3,Maple Leafs6 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 107,535,435$ | 0$ | 93,612,865$ | -12,035,435$ |
| 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 | 206447 | 171095 | 69276 | 137733 | 33817 |
| Attendance PCT | 95.58% | 95.05% | 96.22% | 95.65% | 93.94% |
| Income | |||||
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 5 | 17177 - 95.43% | 1,572,342$ | 56,604,321$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 107,535,435$ | 107,535,435$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 78,784,788$ | 560,080$ | 77,930,625$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 7,861,711$ | 28 | 565,289$ | 15,828,092$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 16,167,596$ | 107,535,435$ | 53,977,964$ | 45,672,079$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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) |
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| 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. |
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| 8 | ? | Wildcard for a single, non-space character. |
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| 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 | |||
| Jan Golicic | 2024 | 140 | |||
| 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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