| Carolina Hurricanes 35-19-3, 73pts · 5th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ryan O'Reilly | 0 | C | 100.00 | 56 | 33 | 92 | 77 | 81 | 87 | 90 | 77 | 90 | 82 | 78 | 80 | 78 | 85 | 95 | 0 | 56 | 88 | 34 | 4,500,000$/2yrs | |||
Sebastian Aho | 0 | C/LW | 100.00 | 65 | 32 | 82 | 80 | 69 | 88 | 90 | 74 | 87 | 79 | 78 | 68 | 76 | 73 | 71 | 0 | 75 | 85 | 28 | 9,750,000$/7yrs | |||
Artturi Lehkonen | 0 | LW/RW | 100.00 | 64 | 32 | 94 | 74 | 69 | 87 | 90 | 74 | 57 | 75 | 78 | 67 | 76 | 77 | 76 | 0 | 75 | 84 | 30 | 4,500,000$/2yrs | |||
Mikael Granlund | 0 | C/LW/RW | 100.00 | 64 | 32 | 87 | 71 | 70 | 86 | 87 | 71 | 81 | 77 | 73 | 69 | 72 | 83 | 81 | 0 | 82 | 83 | 33 | 5,250,000$/3yrs | |||
Nick Schmaltz | 0 | C/LW/RW | 100.00 | 57 | 32 | 92 | 75 | 71 | 87 | 90 | 72 | 78 | 78 | 74 | 70 | 73 | 76 | 75 | 0 | 75 | 83 | 29 | 5,850,000$/1yrs | |||
Elias Lindholm | 0 | C/RW | 100.00 | 71 | 33 | 87 | 71 | 79 | 84 | 89 | 68 | 90 | 74 | 68 | 78 | 68 | 78 | 76 | 0 | 75 | 82 | 31 | 8,000,000$/5yrs | |||
Kyle Palmieri | 21 | RW | 100.00 | 65 | 33 | 88 | 70 | 76 | 85 | 82 | 70 | 60 | 76 | 71 | 70 | 70 | 84 | 83 | 0 | 75 | 82 | 35 | 4,900,000$/3yrs | |||
Jean-Gabriel Pageau | 0 | C | 100.00 | 76 | 34 | 92 | 64 | 71 | 82 | 88 | 65 | 88 | 70 | 67 | 79 | 66 | 81 | 80 | 0 | 75 | 80 | 33 | 3,250,000$/3yrs | |||
Brett Howden | 0 | C/LW/RW | 100.00 | 75 | 37 | 80 | 67 | 81 | 80 | 89 | 64 | 80 | 63 | 72 | 67 | 68 | 72 | 70 | 0 | 77 | 77 | 27 | 1,500,000$/2yrs | |||
Evgenii Dadonov | 32 | LW/RW | 100.00 | 62 | 32 | 95 | 61 | 73 | 77 | 83 | 62 | 55 | 65 | 70 | 54 | 66 | 87 | 87 | 0 | 75 | 76 | 36 | 1,850,000$/1yrs | |||
Mark Kastelic | 0 | C | 100.00 | 87 | 59 | 50 | 63 | 92 | 77 | 90 | 61 | 83 | 62 | 64 | 84 | 63 | 70 | 65 | 0 | 74 | 76 | 26 | 1,500,000$/3yrs | |||
Maxim Tsyplakov | 0 | RW | 100.00 | 77 | 36 | 86 | 62 | 84 | 78 | 86 | 58 | 60 | 66 | 62 | 57 | 60 | 70 | 69 | 0 | 65 | 74 | 27 | 3,000,000$/1yrs | |||
Filip Hronek | 17 | D | 100.00 | 77 | 32 | 90 | 72 | 74 | 94 | 90 | 69 | 30 | 78 | 57 | 78 | 63 | 73 | 72 | 0 | 75 | 85 | 28 | 6,000,000$/5yrs | |||
Colton Parayko | 0 | D | 100.00 | 71 | 34 | 93 | 62 | 94 | 93 | 87 | 63 | 30 | 68 | 66 | 80 | 64 | 80 | 80 | 0 | 59 | 81 | 32 | 6,500,000$/5yrs | |||
Adam Larsson | 6 | D | 100.00 | 72 | 35 | 85 | 60 | 84 | 90 | 90 | 65 | 30 | 65 | 59 | 84 | 62 | 81 | 80 | 0 | 76 | 80 | 33 | 4,975,000$/2yrs | |||
Thomas Harley | 0 | D | 100.00 | 60 | 33 | 91 | 70 | 83 | 93 | 87 | 62 | 30 | 74 | 67 | 68 | 65 | 66 | 65 | 0 | 75 | 80 | 24 | 3,000,000$/9yrs | |||
Hampus Lindholm | 0 | D | 100.00 | 55 | 34 | 73 | 59 | 87 | 91 | 75 | 60 | 30 | 67 | 62 | 76 | 61 | 79 | 76 | 0 | 75 | 77 | 32 | 6,500,000$/5yrs | |||
Shakir Mukhamadullin | 0 | D | 100.00 | 64 | 32 | 86 | 59 | 75 | 84 | 76 | 55 | 30 | 64 | 60 | 65 | 57 | 65 | 63 | 0 | 75 | 73 | 24 | 1,000,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 68 | 35 | 86 | 68 | 79 | 86 | 87 | 66 | 61 | 71 | 68 | 72 | 67 | 77 | 76 | 0 | 73 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jordan Binnington | 0 | 100.00 | 81 | 95 | 82 | 71 | 85 | 77 | 86 | 91 | 85 | 92 | 86 | 80 | 84 | 0 | 72 | 88 | 32 | 5,000,000$/1yrs |
Calvin Pickard | 31 | 100.00 | 74 | 84 | 76 | 84 | 80 | 74 | 82 | 88 | 78 | 89 | 82 | 82 | 86 | 0 | 82 | 85 | 33 | 1,200,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 78 | 90 | 79 | 78 | 83 | 76 | 84 | 90 | 82 | 91 | 84 | 81 | 85 | 0 | 77 | 87 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jim Montgomery | 80 | 81 | 77 | 74 | 71 | 89 | 97 | CAN | 58 | 4 | 1,000,000$ |
| General Manager | Mathieu Sergerie |
|---|
| 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 | Sebastian Aho | 0 | C/LW | 57 | 25 | 39 | 64 | 8 | 26 | 0 | 124 | 219 | 56 | 165 | 11.42% | 16 | 19.71 | 8 | 16 | 24 | 202 | 0 | 1 | 1 | 56 | 6 | 2 | 51.51% | 1526 | 0 | 0 | 1 | 0 | 1.14 | 0 | 1 | |
| 2 | Ryan O'Reilly | 0 | C | 57 | 23 | 26 | 49 | 10 | 7 | 5 | 25 | 208 | 49 | 136 | 11.06% | 12 | 20.91 | 9 | 3 | 12 | 207 | 0 | 0 | 0 | 207 | 4 | 1 | 54.24% | 1735 | 0 | 0 | 0 | 0 | 0.82 | 2 | 2 | |
| 3 | Elias Lindholm | 0 | C/RW | 57 | 21 | 24 | 45 | 1 | 20 | 0 | 109 | 173 | 55 | 109 | 12.14% | 15 | 20.58 | 10 | 7 | 17 | 170 | 0 | 0 | 0 | 165 | 6 | 1 | 58.81% | 1282 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | |
| 4 | Mikael Granlund | 0 | C/LW/RW | 57 | 19 | 26 | 45 | 7 | 14 | 0 | 62 | 184 | 54 | 125 | 10.33% | 17 | 20.78 | 5 | 9 | 14 | 197 | 0 | 0 | 0 | 83 | 4 | 2 | 54.89% | 470 | 0 | 0 | 2 | 0 | 0.76 | 0 | 0 | |
| 5 | Nick Schmaltz | 0 | C/LW/RW | 57 | 17 | 26 | 43 | 1 | 8 | 0 | 17 | 216 | 46 | 147 | 7.87% | 12 | 18.28 | 6 | 5 | 11 | 183 | 0 | 0 | 0 | 0 | 5 | 0 | 50.39% | 127 | 0 | 0 | 1 | 0 | 0.83 | 0 | 1 | |
| 6 | Artturi Lehkonen | 0 | LW/RW | 57 | 15 | 25 | 40 | -3 | 20 | 0 | 49 | 180 | 45 | 128 | 8.33% | 16 | 20.98 | 4 | 7 | 11 | 187 | 0 | 0 | 0 | 157 | 2 | 0 | 42.31% | 104 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
| 7 | Thomas Harley | 0 | D | 57 | 2 | 27 | 29 | 1 | 20 | 0 | 50 | 80 | 28 | 54 | 2.50% | 31 | 21.53 | 1 | 9 | 10 | 202 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 8 | Filip Hronek | 17 | D | 57 | 8 | 20 | 28 | 3 | 54 | 0 | 105 | 80 | 22 | 44 | 10.00% | 69 | 22.70 | 3 | 8 | 11 | 165 | 1 | 0 | 1 | 158 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 9 | Colton Parayko | 0 | D | 57 | 2 | 25 | 27 | -1 | 71 | 5 | 117 | 71 | 39 | 56 | 2.82% | 96 | 23.11 | 0 | 9 | 9 | 142 | 0 | 1 | 1 | 160 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 10 | Jean-Gabriel Pageau | 0 | C | 57 | 14 | 12 | 26 | 0 | 26 | 0 | 54 | 100 | 26 | 68 | 14.00% | 8 | 12.10 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 107 | 2 | 1 | 55.22% | 929 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | |
| 11 | Adam Larsson | 6 | D | 57 | 3 | 22 | 25 | 0 | 41 | 5 | 87 | 47 | 19 | 33 | 6.38% | 66 | 17.83 | 0 | 2 | 2 | 38 | 0 | 0 | 0 | 154 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 12 | Kyle Palmieri | 21 | RW | 57 | 10 | 15 | 25 | -3 | 6 | 0 | 25 | 142 | 40 | 97 | 7.04% | 2 | 14.33 | 5 | 6 | 11 | 164 | 0 | 0 | 0 | 0 | 3 | 1 | 42.22% | 45 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 13 | Shakir Mukhamadullin | 0 | D | 57 | 3 | 11 | 14 | 0 | 22 | 0 | 50 | 28 | 7 | 17 | 10.71% | 56 | 14.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.33 | 0 | 0 | |
| 14 | Maxim Tsyplakov | 0 | RW | 59 | 6 | 7 | 13 | -2 | 10 | 0 | 45 | 52 | 11 | 68 | 11.54% | 3 | 10.07 | 1 | 3 | 4 | 47 | 0 | 0 | 0 | 0 | 1 | 1 | 43.75% | 48 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 15 | Brett Howden | 0 | C/LW/RW | 57 | 6 | 6 | 12 | -1 | 29 | 5 | 65 | 79 | 27 | 58 | 7.59% | 8 | 10.70 | 0 | 1 | 1 | 8 | 0 | 1 | 1 | 56 | 1 | 1 | 55.22% | 67 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 16 | Hampus Lindholm | 0 | D | 57 | 1 | 10 | 11 | 4 | 30 | 0 | 64 | 51 | 16 | 23 | 1.96% | 85 | 20.86 | 0 | 1 | 1 | 71 | 0 | 0 | 0 | 171 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 17 | Mark Kastelic | 0 | C | 40 | 1 | 6 | 7 | 0 | 18 | 0 | 47 | 55 | 15 | 42 | 1.82% | 9 | 8.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0 | 1 | 51.97% | 406 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 18 | Evgenii Dadonov | 32 | LW/RW | 57 | 3 | 1 | 4 | -4 | 4 | 0 | 2 | 42 | 12 | 21 | 7.14% | 1 | 6.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 22 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| Team Total or Average | 1011 | 179 | 328 | 507 | 21 | 426 | 20 | 1097 | 2007 | 567 | 1391 | 8.92% | 522 | 17.02 | 52 | 86 | 138 | 1990 | 2 | 3 | 5 | 1685 | 37 | 12 | 54.10% | 6761 | 0 | 0 | 5 | 0 | 0.59 | 2 | 4 |
| 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 | Jordan Binnington | 48 | 30 | 16 | 1 | 0.917 | 2.50 | 2788 | 2 | 2 | 116 | 1398 | 0 | 2 | 2 | 0.000 | 0 | 48 | 9 | 6 | 1 | 5 | |
| 2 | Calvin Pickard | 12 | 5 | 3 | 2 | 0.907 | 3.19 | 640 | 0 | 0 | 34 | 364 | 0 | 0 | 0 | 0.500 | 4 | 9 | 48 | 2 | 0 | 1 | |
| Team Total or Average | 60 | 35 | 19 | 3 | 0.915 | 2.63 | 3429 | 2 | 2 | 150 | 1762 | 0 | 2 | 2 | 0.500 | 4 | 57 | 57 | 8 | 1 | 6 |
| Projected Total Cap Hit | 90,808,453$ |
| Projected Cap Space | 4,691,547$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 59,174,437$ |
| Players In Salary Cap | 20 |
| LTIR Players | 0 |
| Hurricanes Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Larsson ![]() | D | 33 | 4,975,000$ | 4,975,000$ | 4,975,000$ | UFA | |||||
Artturi Lehkonen ![]() | LW/RW | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Brett Howden ![]() | C/LW/RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Calvin Pickard | G | 33 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Colton Parayko ![]() | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Elias Lindholm ![]() | C/RW | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Evgenii Dadonov ![]() | LW/RW | 36 | 1,850,000$ | 1,850,000$ | UFA | ||||||
Filip Hronek ![]() | D | 28 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Hampus Lindholm ![]() | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Jean-Gabriel Pageau ![]() | C | 33 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
| Jordan Binnington | G | 32 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Kyle Palmieri ![]() | RW | 35 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | UFA | ||||
Mark Kastelic ![]() | C | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Maxim Tsyplakov ![]() | RW | 27 | 3,000,000$ | 3,000,000$ | |||||||
Mikael Granlund ![]() | C/LW/RW | 33 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Nick Schmaltz ![]() | C/LW/RW | 29 | 5,850,000$ | 5,850,000$ | UFA | ||||||
Ryan O'Reilly ![]() | C | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Sebastian Aho ![]() | C/LW | 28 | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | UFA |
Shakir Mukhamadullin | D | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Thomas Harley ![]() | D | 24 | 3,000,000$ | 3,000,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ginning | D | 26 | 950,000$ | 950,000$ | |||||||
Adam Raska | RW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Aleksanteri Kaskimaki | C | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Alex Gagne | D | 23 | 0$ | RFA | |||||||
Alexander Campbell | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Angus Booth | D | 21 | 826,667$ | 826,667$ | 826,667$ | RFA | |||||
Cale Fleury | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Calum Ritchie | C | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Carl Grundstrom | LW/RW | 28 | 1,000,000$ | 1,000,000$ | |||||||
Charles Hudon | LW/RW | 31 | 800,000$ | 800,000$ | UFA | ||||||
Connor Clattenburg | C | 20 | 0$ | RFA | |||||||
Conor Timmins | D | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Damien Giroux | C | 25 | 775,000$ | 775,000$ | |||||||
Devon Levi | G | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Erik Middendorf | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Filip Kral | D | 26 | 775,000$ | 775,000$ | |||||||
Frederic Brunet | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Henrik Tikkanen | G | 25 | 850,000$ | 850,000$ | RFA | ||||||
Jackson Dorrington | D | 21 | 0$ | RFA | |||||||
Jacob Melanson | RW | 22 | 826,111$ | 826,111$ | RFA | ||||||
James Malatesta | LW | 22 | 841,667$ | 841,667$ | RFA | ||||||
Jett Woo | D | 25 | 800,000$ | 800,000$ | RFA | ||||||
Jordan Bellerive | C | 26 | 800,000$ | 800,000$ | |||||||
Juuso Valimaki ![]() | D | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Kasper Halttunen | RW | 20 | 876,000$ | 876,000$ | 876,000$ | 876,000$ | RFA | ||||
Keaton Middleton | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Mack Guzda | G | 25 | 0$ | RFA | |||||||
Matthew Kessel | D | 25 | 800,000$ | 800,000$ | |||||||
Mike O'Leary | LW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Nolan Allan | D | 22 | 825,000$ | 825,000$ | RFA | ||||||
Owen Pederson | C/LW | 23 | 800,000$ | 800,000$ | RFA | ||||||
Shai Buium | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Simon Robertsson | C/LW/RW | 23 | 877,000$ | 877,000$ | 877,000$ | RFA | |||||
Tim Gettinger | LW | 27 | 800,000$ | 800,000$ | |||||||
Zach Sawchenko | G | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Zack Ostapchuk | C | 22 | 825,000$ | 825,000$ | RFA |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 31 | 10 | 8 | 13 | 0 | 29 | 8 | 13 | 17 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 24 | 16 | 22 | 7 | 13 | 6 | 66.7% | 9.7% | 96.6% | 106.2 | LUCKY | |
| 2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 6 | 1.000 | 8 | 15 | 23 | 0 | 0 | 4 | 3 | 1 | 0 | 91 | 38 | 29 | 24 | 0 | 87 | 27 | 20 | 58 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 74 | 52 | 68 | 21 | 37 | 19 | 75.0% | 8.8% | 96.6% | 105.3 | DULL | |
| 3 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 3 | 3 | 3 | 1 | 121 | 43 | 40 | 37 | 1 | 75 | 25 | 26 | 53 | 16 | 3 | 18.75% | 11 | 2 | 81.82% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 83 | 59 | 58 | 20 | 39 | 20 | 53.8% | 8.3% | 89.3% | 97.6 | Unlucky | |
| 4 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 2 | 1 | 81 | 24 | 25 | 28 | 4 | 66 | 21 | 16 | 46 | 10 | 2 | 20.00% | 8 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 52 | 38 | 44 | 12 | 24 | 11 | 33.3% | 7.4% | 87.9% | 95.3 | Unlucky | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 41 | 15 | 17 | 9 | 0 | 23 | 13 | 2 | 11 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 26 | 19 | 21 | 5 | 11 | 6 | 50.0% | 7.3% | 91.3% | 98.6 | DULL | |
| 6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 74 | 20 | 32 | 22 | 0 | 71 | 17 | 14 | 46 | 11 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 50 | 37 | 47 | 14 | 22 | 10 | 25.0% | 1.4% | 94.4% | 95.7 | DULL | |
| 7 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 8 | 5 | 8 | 1.000 | 13 | 24 | 37 | 0 | 0 | 3 | 4 | 5 | 1 | 144 | 52 | 49 | 41 | 2 | 113 | 19 | 24 | 78 | 14 | 5 | 35.71% | 10 | 0 | 100.00% | 1 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 102 | 73 | 89 | 27 | 48 | 24 | 50.0% | 9.0% | 92.9% | 101.9 | LUCKY | |
| 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 0 | 2 | 0 | 59 | 25 | 22 | 12 | 0 | 52 | 21 | 26 | 38 | 6 | 2 | 33.33% | 13 | 3 | 76.92% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 46 | 31 | 48 | 15 | 24 | 12 | 60.0% | 8.5% | 90.4% | 98.9 | Unlucky | |
| 9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 35 | 9 | 11 | 15 | 0 | 31 | 9 | 14 | 18 | 5 | 1 | 20.00% | 6 | 3 | 50.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 27 | 20 | 21 | 7 | 11 | 6 | 66.7% | 8.6% | 87.1% | 95.7 | Unlucky | |
| 10 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 8 | 4 | 5 | 0.833 | 12 | 24 | 36 | 0 | 0 | 3 | 4 | 5 | 1 | 96 | 37 | 30 | 29 | 4 | 115 | 29 | 28 | 51 | 9 | 2 | 22.22% | 12 | 3 | 75.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 71 | 49 | 72 | 21 | 40 | 21 | 66.7% | 12.5% | 93.0% | 105.5 | LUCKY | |
| 11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 5 | 1 | 3 | 0 | 79 | 27 | 24 | 28 | 0 | 74 | 15 | 14 | 47 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 49 | 34 | 46 | 13 | 24 | 12 | 50.0% | 11.4% | 86.5% | 97.9 | FUN | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 34 | 15 | 7 | 12 | 0 | 37 | 4 | 6 | 23 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 24 | 17 | 22 | 7 | 12 | 6 | 0.0% | 2.9% | 94.6% | 97.5 | DULL | |
| 13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 3 | 1 | 0 | 0 | 63 | 23 | 23 | 17 | 0 | 65 | 20 | 12 | 37 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 47 | 32 | 47 | 15 | 24 | 12 | 25.0% | 6.3% | 84.6% | 91.0 | Unlucky | |
| 14 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 4 | 0 | 54 | 25 | 13 | 16 | 0 | 60 | 20 | 26 | 41 | 7 | 3 | 42.86% | 13 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 48 | 34 | 46 | 14 | 24 | 11 | 57.1% | 13.0% | 95.0% | 108.0 | LUCKY | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 30 | 13 | 11 | 6 | 0 | 32 | 9 | 8 | 24 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 23 | 16 | 23 | 6 | 12 | 6 | 62.5% | 16.7% | 90.6% | 107.3 | FUN | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 32 | 5 | 4 | 23 | 0 | 36 | 11 | 4 | 24 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 22 | 15 | 25 | 6 | 12 | 6 | 50.0% | 9.4% | 97.2% | 106.6 | LUCKY | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 35 | 13 | 9 | 13 | 0 | 27 | 7 | 8 | 29 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 26 | 18 | 20 | 7 | 12 | 6 | 57.1% | 11.4% | 88.9% | 100.3 | FUN | |
| 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 31 | 9 | 10 | 12 | 0 | 36 | 12 | 8 | 33 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 25 | 18 | 22 | 7 | 12 | 5 | 33.3% | 6.5% | 86.1% | 92.6 | Unlucky | |
| 19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 2 | 3 | 4 | 0 | 62 | 15 | 16 | 31 | 0 | 78 | 18 | 14 | 34 | 6 | 2 | 33.33% | 7 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 46 | 32 | 47 | 14 | 25 | 11 | 58.3% | 14.5% | 93.6% | 108.1 | LUCKY | |
| 20 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 3 | 3 | 1 | 0 | 88 | 21 | 33 | 34 | 0 | 90 | 26 | 28 | 56 | 8 | 1 | 12.50% | 12 | 1 | 91.67% | 1 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 75 | 51 | 67 | 21 | 37 | 19 | 40.0% | 8.0% | 88.9% | 96.8 | Unlucky | |
| 21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 0 | 1 | 1 | 0 | 43 | 15 | 12 | 16 | 0 | 34 | 3 | 10 | 19 | 2 | 1 | 50.00% | 4 | 2 | 50.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 28 | 20 | 20 | 6 | 11 | 5 | 33.3% | 4.7% | 88.2% | 92.9 | Unlucky | |
| 22 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 21 | 32 | 1 | 0 | 4 | 5 | 2 | 0 | 121 | 43 | 39 | 39 | 0 | 82 | 27 | 22 | 60 | 14 | 4 | 28.57% | 8 | 2 | 75.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 81 | 59 | 59 | 20 | 38 | 20 | 53.8% | 9.1% | 90.2% | 99.3 | FUN | |
| 23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 27 | 8 | 10 | 9 | 0 | 47 | 13 | 8 | 29 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 20 | 13 | 28 | 6 | 11 | 5 | 28.6% | 7.4% | 89.4% | 96.8 | Unlucky | |
| 24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 3 | 0 | 77 | 27 | 23 | 27 | 0 | 66 | 24 | 14 | 32 | 8 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 50 | 36 | 44 | 14 | 24 | 12 | 80.0% | 10.4% | 95.5% | 105.8 | LUCKY | |
| 25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 74 | 25 | 23 | 26 | 0 | 70 | 13 | 17 | 33 | 9 | 1 | 11.11% | 6 | 1 | 83.33% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 50 | 36 | 44 | 15 | 24 | 12 | 55.6% | 8.1% | 92.9% | 101.0 | DULL | |
| 26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 15 | 23 | 0 | 1 | 3 | 3 | 2 | 0 | 61 | 19 | 19 | 23 | 0 | 54 | 12 | 12 | 38 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 49 | 33 | 45 | 14 | 25 | 13 | 87.5% | 13.1% | 96.3% | 109.4 | LUCKY | |
| 27 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 2 | 0 | 63 | 26 | 18 | 17 | 2 | 64 | 18 | 18 | 40 | 10 | 3 | 30.00% | 9 | 2 | 77.78% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 51 | 36 | 45 | 14 | 24 | 12 | 30.0% | 9.5% | 85.9% | 95.5 | FUN | |
| 28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 38 | 15 | 14 | 9 | 0 | 34 | 5 | 10 | 26 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 25 | 18 | 22 | 6 | 11 | 5 | 20.0% | 5.3% | 85.3% | 90.6 | Unlucky | |
| 29 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 3 | 1 | 1 | 1 | 72 | 23 | 27 | 21 | 1 | 43 | 9 | 10 | 45 | 12 | 2 | 16.67% | 5 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 49 | 33 | 46 | 16 | 25 | 13 | 66.7% | 8.3% | 95.3% | 103.7 | DULL | |
| 30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 70 | 27 | 20 | 23 | 0 | 51 | 11 | 14 | 36 | 13 | 2 | 15.38% | 7 | 0 | 100.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 55 | 39 | 40 | 14 | 24 | 12 | 33.3% | 5.7% | 92.2% | 97.9 | DULL | |
| 31 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 47 | 14 | 14 | 19 | 0 | 22 | 10 | 0 | 21 | 10 | 2 | 20.00% | 0 | 0 | 0.00% | 0 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 27 | 20 | 20 | 6 | 12 | 7 | 40.0% | 8.5% | 86.4% | 94.9 | Unlucky | |
| _Vs Division | 16 | 10 | 3 | 0 | 2 | 0 | 0 | 1 | 50 | 39 | 11 | 25 | 0.781 | 50 | 94 | 144 | 0 | 0 | 15 | 17 | 16 | 3 | 558 | 208 | 189 | 158 | 7 | 494 | 131 | 118 | 306 | 51 | 14 | 27.45% | 51 | 7 | 86.27% | 1 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 405 | 287 | 361 | 110 | 200 | 102 | 52.9% | 9.0% | 92.1% | 101.1 | LUCKY | |
| _Vs Conference | 32 | 17 | 9 | 0 | 3 | 2 | 0 | 1 | 102 | 91 | 11 | 43 | 0.672 | 102 | 189 | 291 | 1 | 0 | 36 | 33 | 30 | 4 | 1097 | 384 | 364 | 340 | 13 | 989 | 280 | 264 | 622 | 111 | 29 | 26.13% | 118 | 18 | 84.75% | 2 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 809 | 574 | 720 | 222 | 401 | 203 | 50.0% | 9.3% | 90.8% | 100.1 | FUN | |
| _Since Last GM Reset | 57 | 31 | 19 | 0 | 4 | 2 | 0 | 1 | 174 | 153 | 21 | 73 | 0.640 | 174 | 319 | 493 | 2 | 2 | 60 | 52 | 58 | 5 | 1974 | 681 | 632 | 651 | 14 | 1764 | 476 | 446 | 1143 | 221 | 47 | 21.27% | 199 | 29 | 85.43% | 2 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 1440 | 1019 | 1283 | 403 | 709 | 359 | 50.6% | 8.8% | 91.3% | 100.1 | DULL | |
| Total | 57 | 31 | 19 | 0 | 4 | 2 | 0 | 1 | 174 | 153 | 21 | 73 | 0.640 | 174 | 319 | 493 | 2 | 2 | 60 | 52 | 58 | 5 | 1974 | 681 | 632 | 651 | 14 | 1764 | 476 | 446 | 1143 | 221 | 47 | 21.27% | 199 | 29 | 85.43% | 2 | 1146 | 2149 | 53.33% | 1044 | 1947 | 53.62% | 485 | 880 | 55.11% | 1440 | 1019 | 1283 | 403 | 709 | 359 | 50.6% | 8.8% | 91.3% | 100.1 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2149 |
| Neutral Zone Start | 880 |
| Defensive Zone Start | 1947 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2675 |
| Faceoffs Lost | 2301 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.9 | 9.57 |
| 2nd Period | 23.0 | 20.31 |
| 3rd Period | 34.5 | 30.68 |
| Overtime | 34.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 3.0 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 123 |
|---|---|
| PP Goal | 47 |
| PK Goal | 2 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 18 | 17 |
| Lost | 11 | 8 |
| Overtime Lost | 2 | 1 |
| PP Attempt | 221 |
|---|---|
| PP Goal | 47 |
| PK Attempt | 199 |
| PK Goal Against | 29 |
| Home | |
|---|---|
| Shots For | 34.6 |
| Shots Against | 30.9 |
| Goals For | 3.1 |
| Goals Against | 2.7 |
| Hits | 20.1 |
| Shots Blocked | 8.4 |
| Pim | 7.8 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Devils3,Hurricanes4 (OT) | RECAP | |||||||||||
| 2025-10-12 | @ | Flyers1,Hurricanes2 | RECAP | |||||||||||
| 2025-10-15 | @ | Hurricanes3,Sharks0 | RECAP | |||||||||||
| 2025-10-17 | @ | Hurricanes1,Ducks2 | RECAP | |||||||||||
| 2025-10-19 | @ | Hurricanes1,Kings5 | RECAP | |||||||||||
| 2025-10-21 | @ | Hurricanes2,Golden Knights1 | RECAP | |||||||||||
| 2025-10-24 | @ | Hurricanes1,Avalanche2 | RECAP | |||||||||||
| 2025-10-26 | @ | Hurricanes5,Stars2 | RECAP | |||||||||||
| 2025-10-29 | @ | Golden Knights3,Hurricanes2 | RECAP | |||||||||||
| 2025-10-31 | @ | Islanders2,Hurricanes3 | RECAP | |||||||||||
| 2025-11-02 | @ | Hurricanes3,Bruins1 | RECAP | |||||||||||
| 2025-11-05 | @ | Hurricanes4,Rangers3 | RECAP | |||||||||||
| 2025-11-07 | @ | Wild8,Hurricanes5 | RECAP | |||||||||||
| 2025-11-09 | @ | Sabres6,Hurricanes1 | RECAP | |||||||||||
| 2025-11-10 | @ | Hurricanes4,Maple Leafs5 (OT) | RECAP | |||||||||||
| 2025-11-12 | @ | Capitals4,Hurricanes3 (SO) | RECAP | |||||||||||
| 2025-11-15 | @ | Canucks2,Hurricanes1 | RECAP | |||||||||||
| 2025-11-16 | @ | Oilers1,Hurricanes3 | RECAP | |||||||||||
| 2025-11-18 | @ | Hurricanes6,Bruins4 | RECAP | |||||||||||
| 2025-11-20 | @ | Hurricanes4,Wild2 | RECAP | |||||||||||
| 2025-11-22 | @ | Hurricanes4,Jets1 | RECAP | |||||||||||
| 2025-11-24 | @ | Hurricanes1,Sabres2 | RECAP | |||||||||||
| 2025-11-27 | @ | Rangers1,Hurricanes3 | RECAP | |||||||||||
| 2025-11-29 | @ | Jets2,Hurricanes4 | RECAP | |||||||||||
| 2025-12-01 | @ | Flames1,Hurricanes3 | RECAP | |||||||||||
| 2025-12-05 | @ | Maple Leafs4,Hurricanes2 | RECAP | |||||||||||
| 2025-12-07 | @ | Predators2,Hurricanes4 | RECAP | |||||||||||
| 2025-12-08 | @ | Sharks2,Hurricanes3 (OT) | RECAP | |||||||||||
| 2025-12-10 | @ | Blue Jackets5,Hurricanes2 | RECAP | |||||||||||
| 2025-12-12 | @ | Hurricanes5,Capitals3 | RECAP | |||||||||||
| 2025-12-14 | @ | Hurricanes2,Flyers1 | RECAP | |||||||||||
| 2025-12-15 | @ | Flyers1,Hurricanes4 | RECAP | |||||||||||
| 2025-12-18 | @ | Hurricanes3,Predators1 | RECAP | |||||||||||
| 2025-12-20 | @ | Hurricanes6,Panthers2 | RECAP | |||||||||||
| 2025-12-21 | @ | Hurricanes5,Lightning3 | RECAP | |||||||||||
| 2025-12-24 | @ | Panthers3,Hurricanes4 | RECAP | |||||||||||
| 2025-12-28 | @ | Red Wings2,Hurricanes3 | RECAP | |||||||||||
| 2025-12-30 | @ | Rangers2,Hurricanes3 | RECAP | |||||||||||
| 2025-12-31 | @ | Hurricanes2,Penguins5 | RECAP | |||||||||||
| 2026-01-02 | @ | Canadiens4,Hurricanes3 (OT) | RECAP | |||||||||||
| 2026-01-04 | @ | Avalanche2,Hurricanes0 | RECAP | |||||||||||
| 2026-01-05 | @ | Hurricanes2,Devils3 | RECAP | |||||||||||
| 2026-01-07 | @ | Stars0,Hurricanes3 | RECAP | |||||||||||
| 2026-01-09 | @ | Ducks3,Hurricanes5 | RECAP | |||||||||||
| 2026-01-11 | @ | Kraken3,Hurricanes4 | RECAP | |||||||||||
| 2026-01-13 | @ | Hurricanes2,Red Wings3 | RECAP | |||||||||||
| 2026-01-14 | @ | Hurricanes4,Blues3 | RECAP | |||||||||||
| 2026-01-17 | @ | Panthers3,Hurricanes1 | RECAP | |||||||||||
| 2026-01-18 | @ | Hurricanes4,Devils2 | RECAP | |||||||||||
| 2026-01-20 | @ | Sabres2,Hurricanes5 | RECAP | |||||||||||
| 2026-01-23 | @ | Blackhawks4,Hurricanes2 | RECAP | |||||||||||
| 2026-01-25 | @ | Hurricanes4,Senators7 | RECAP | |||||||||||
| 2026-01-30 | @ | Mammoth5,Hurricanes2 | RECAP | |||||||||||
| 2026-02-01 | @ | Hurricanes4,Capitals1 | RECAP | |||||||||||
| 2026-02-02 | @ | Kings5,Hurricanes3 | RECAP | |||||||||||
| 2026-02-04 | @ | Senators1,Hurricanes2 (OT) | RECAP | |||||||||||
| 2026-02-06 | @ | Hurricanes3,Rangers2 (OT) | RECAP | |||||||||||
| 2026-02-27 | @ | |||||||||||||
| 2026-03-01 | @ | |||||||||||||
| 2026-03-03 | @ | |||||||||||||
| 2026-03-05 | @ | |||||||||||||
| 2026-03-07 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | |||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 88,025,000$ | 0$ | 90,808,453$ | 7,475,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | PNC Center | |
| City | Carolina | ||
| 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 | 178936 | 146852 | 58843 | 118424 | 29508 |
| Attendance PCT | 96.20% | 94.74% | 94.91% | 95.50% | 95.19% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 10 | 17179 - 95.44% | 1,577,882$ | 48,914,351$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 88,025,000$ | 88,025,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 59,815,044$ | 458,464$ | 59,174,437$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 15,778,823$ | 69 | 463,672$ | 31,993,368$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 32,962,938$ | 88,025,000$ | 32,830,408$ | 15,646,293$ |
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 |
|---|---|---|---|---|---|---|---|---|
| 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 |
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| 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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| 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 |
|---|---|---|---|---|---|
| Aatos Koivu | 2024 | 60 | |||
| Alec Bélanger | 2020 | 211 | |||
| Alexander Siryatsky | 2024 | 149 | |||
| Alexander Suzdalev | 2022 | 75 | |||
| Anton Johansson | 2022 | 114 | |||
| Arno Tiefensee | 2023 | 142 | |||
| Axel Hurtig | 2023 | 206 | |||
| Brendan Dunphy | 2025 | 219 | |||
| Brody Lamb | 2021 | 117 | |||
| Burke Hood | 2025 | 187 | |||
| Carson Musser | 2023 | 152 | |||
| Carter Berger | 2019 | 115 | 5.5 - 4.5 | ||
| Cole Brown | 2023 | 174 | |||
| Dylan James | 2022 | 77 | |||
| Eemil Vinni | 2024 | 85 | |||
| Filip Westerlund | 4.0 - 5.5 | ||||
| Ilya Fedotov | 2021 | 74 | |||
| Jake Ratzlaff | 2020 | 111 | |||
| Jan Bednar | 2020 | 82 | |||
| Jimmy Lombardi | 2025 | 123 | |||
| Jiri Felcman | 2023 | 110 | |||
| Jonathan Tychonick | |||||
| Justin Bergeron | 2019 | 187 | |||
| Karel Plasek | 2019 | 177 | 6.0 - 3.0 | ||
| Karl Annborn | 2025 | 156 | |||
| Luca Munzenberger | 2021 | 94 | |||
| Matthew Gleason | 2020 | 185 | |||
| Michael Callow | 2022 | 182 | |||
| Nikola Pasic | 2019 | 208 | 5.0 - 5.0 | ||
| Theo Stockselius | 2025 | 59 | |||
| Tyler Bauer | |||||
| Vadim Moroz | 2023 | 106 | |||
| Vashek Blanar | 2025 | 117 | |||
| William Nicholl | 2024 | 213 |
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