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Full Scoreboard »» |
| Carolina Hurricanes 20-10-2, 42pts · 4th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Artemi Panarin (A) | 10 | LW | 100.00 | 56 | 32 | 91 | 88 | 68 | 89 | 90 | 83 | 56 | 87 | 87 | 52 | 85 | 82 | 81 | 0 | 60 | 91 | 34 | 11,642,578$/1yrs | |||
Sebastian Aho | 0 | C/LW | 100.00 | 64 | 32 | 82 | 83 | 69 | 89 | 89 | 78 | 87 | 82 | 81 | 69 | 79 | 72 | 70 | 0 | 60 | 88 | 28 | 9,750,000$/7yrs | |||
Nick Schmaltz | 0 | C/LW/RW | 100.00 | 56 | 32 | 91 | 82 | 71 | 87 | 90 | 76 | 62 | 77 | 87 | 63 | 81 | 76 | 75 | 0 | 60 | 87 | 29 | 5,850,000$/1yrs | |||
Artturi Lehkonen | 0 | LW/RW | 100.00 | 61 | 32 | 96 | 72 | 69 | 87 | 90 | 72 | 55 | 73 | 77 | 72 | 75 | 77 | 76 | 0 | 60 | 83 | 30 | 4,500,000$/2yrs | |||
Elias Lindholm | 0 | C/RW | 100.00 | 71 | 35 | 91 | 70 | 79 | 87 | 89 | 68 | 90 | 72 | 68 | 83 | 68 | 77 | 76 | 0 | 60 | 82 | 31 | 8,000,000$/5yrs | |||
Ryan Donato | 0 | C/LW | 100.00 | 72 | 36 | 82 | 75 | 74 | 82 | 90 | 73 | 76 | 72 | 79 | 54 | 76 | 74 | 72 | 0 | 60 | 82 | 29 | 4,000,000$/4yrs | |||
Kyle Palmieri | 21 | RW | 100.00 | 66 | 33 | 90 | 68 | 76 | 86 | 90 | 70 | 59 | 68 | 76 | 64 | 73 | 83 | 82 | 0 | 60 | 81 | 34 | 4,900,000$/3yrs | |||
Brett Howden | 0 | C/LW/RW | 100.00 | 74 | 39 | 80 | 71 | 81 | 79 | 90 | 66 | 79 | 64 | 74 | 70 | 70 | 70 | 69 | 0 | 63 | 79 | 27 | 1,500,000$/2yrs | |||
Jean-Gabriel Pageau | 0 | C | 100.00 | 80 | 35 | 92 | 64 | 71 | 83 | 90 | 65 | 88 | 69 | 65 | 79 | 65 | 80 | 79 | 0 | 60 | 79 | 33 | 3,250,000$/3yrs | |||
Evgenii Dadonov | 32 | LW/RW | 100.00 | 63 | 32 | 94 | 63 | 73 | 78 | 85 | 64 | 55 | 65 | 71 | 55 | 67 | 86 | 85 | 0 | 60 | 77 | 36 | 1,850,000$/1yrs | |||
Mark Kastelic | 0 | C | 100.00 | 80 | 46 | 69 | 61 | 92 | 77 | 90 | 61 | 82 | 60 | 65 | 88 | 63 | 70 | 67 | 0 | 59 | 76 | 26 | 1,500,000$/3yrs | |||
Maxim Tsyplakov | 0 | RW | 100.00 | 77 | 37 | 82 | 64 | 84 | 81 | 77 | 60 | 60 | 69 | 63 | 58 | 61 | 69 | 68 | 0 | 51 | 75 | 27 | 3,000,000$/1yrs | |||
Filip Hronek | 17 | D | 100.00 | 75 | 32 | 80 | 70 | 74 | 95 | 86 | 66 | 30 | 76 | 59 | 72 | 62 | 72 | 70 | 0 | 60 | 82 | 28 | 6,000,000$/5yrs | |||
Colton Parayko | 0 | D | 100.00 | 73 | 36 | 92 | 62 | 94 | 96 | 88 | 65 | 30 | 66 | 68 | 85 | 66 | 79 | 78 | 0 | 45 | 82 | 32 | 6,500,000$/5yrs | |||
Adam Larsson | 6 | D | 100.00 | 71 | 36 | 87 | 62 | 84 | 90 | 90 | 66 | 30 | 66 | 60 | 86 | 63 | 80 | 79 | 0 | 61 | 81 | 33 | 4,975,000$/2yrs | |||
Thomas Harley | 0 | D | 100.00 | 63 | 33 | 92 | 69 | 83 | 93 | 89 | 63 | 30 | 73 | 69 | 68 | 66 | 65 | 64 | 0 | 60 | 80 | 24 | 3,000,000$/9yrs | |||
Hampus Lindholm | 0 | D | 100.00 | 63 | 36 | 74 | 60 | 87 | 94 | 79 | 63 | 30 | 68 | 59 | 74 | 61 | 78 | 75 | 0 | 60 | 78 | 31 | 6,500,000$/5yrs | |||
Shakir Mukhamadullin | 0 | D | 100.00 | 67 | 32 | 87 | 61 | 75 | 86 | 70 | 58 | 30 | 66 | 58 | 70 | 58 | 64 | 62 | 0 | 60 | 75 | 23 | 1,000,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 68 | 35 | 86 | 69 | 78 | 87 | 87 | 68 | 57 | 71 | 70 | 70 | 69 | 75 | 74 | 0 | 59 | 81 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jordan Binnington | 0 | 96.00 | 85 | 95 | 83 | 71 | 90 | 81 | 90 | 93 | 90 | 92 | 90 | 79 | 83 | 0 | 57 | 91 | 32 | 5,000,000$/1yrs |
Calvin Pickard | 31 | 100.00 | 71 | 81 | 75 | 84 | 85 | 78 | 85 | 89 | 83 | 90 | 85 | 81 | 85 | 0 | 68 | 86 | 33 | 1,200,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.00 | 78 | 88 | 79 | 78 | 88 | 80 | 88 | 91 | 87 | 91 | 88 | 80 | 84 | 0 | 63 | 89 | |||
| 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 | 32 | 13 | 22 | 35 | 10 | 16 | 0 | 68 | 118 | 32 | 88 | 11.02% | 11 | 20.36 | 4 | 8 | 12 | 106 | 0 | 1 | 1 | 55 | 4 | 0 | 51.11% | 855 | 0 | 0 | 0 | 0 | 1.07 | 0 | 1 | |
| 2 | Artemi Panarin | 10 | LW | 32 | 14 | 19 | 33 | 9 | 2 | 0 | 20 | 125 | 29 | 97 | 11.20% | 4 | 18.93 | 4 | 6 | 10 | 106 | 0 | 0 | 0 | 7 | 0 | 3 | 38.18% | 55 | 0 | 0 | 0 | 1 | 1.09 | 1 | 1 | |
| 3 | Nick Schmaltz | 0 | C/LW/RW | 32 | 10 | 16 | 26 | 5 | 4 | 0 | 8 | 122 | 27 | 77 | 8.20% | 7 | 18.31 | 3 | 1 | 4 | 99 | 0 | 0 | 0 | 0 | 4 | 0 | 52.17% | 69 | 0 | 0 | 1 | 0 | 0.89 | 0 | 1 | |
| 4 | Elias Lindholm | 0 | C/RW | 32 | 14 | 11 | 25 | 3 | 16 | 0 | 55 | 89 | 29 | 58 | 15.73% | 7 | 20.68 | 5 | 2 | 7 | 92 | 0 | 0 | 0 | 96 | 5 | 0 | 57.39% | 819 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | |
| 5 | Thomas Harley | 0 | D | 32 | 0 | 19 | 19 | 5 | 8 | 0 | 26 | 41 | 14 | 26 | 0.00% | 21 | 21.29 | 0 | 6 | 6 | 102 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 6 | Artturi Lehkonen | 0 | LW/RW | 32 | 9 | 9 | 18 | 1 | 12 | 0 | 26 | 93 | 25 | 72 | 9.68% | 9 | 20.84 | 2 | 3 | 5 | 98 | 0 | 0 | 0 | 89 | 1 | 0 | 44.62% | 65 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 7 | Adam Larsson | 6 | D | 32 | 3 | 11 | 14 | 1 | 23 | 5 | 46 | 30 | 13 | 19 | 10.00% | 44 | 19.75 | 0 | 2 | 2 | 35 | 0 | 0 | 0 | 91 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 8 | Filip Hronek | 17 | D | 32 | 5 | 9 | 14 | 0 | 40 | 0 | 64 | 47 | 11 | 26 | 10.64% | 34 | 22.98 | 3 | 4 | 7 | 92 | 1 | 0 | 1 | 90 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 9 | Colton Parayko | 0 | D | 32 | 2 | 11 | 13 | 2 | 43 | 5 | 67 | 35 | 25 | 30 | 5.71% | 61 | 23.03 | 0 | 5 | 5 | 69 | 0 | 1 | 1 | 98 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 10 | Ryan Donato | 0 | C/LW | 32 | 7 | 5 | 12 | 0 | 6 | 0 | 51 | 67 | 22 | 42 | 10.45% | 0 | 14.20 | 0 | 1 | 1 | 37 | 0 | 0 | 0 | 0 | 1 | 0 | 49.70% | 169 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 11 | Maxim Tsyplakov | 0 | RW | 34 | 5 | 7 | 12 | -1 | 8 | 0 | 34 | 39 | 8 | 52 | 12.82% | 2 | 12.80 | 1 | 3 | 4 | 47 | 0 | 0 | 0 | 0 | 1 | 1 | 40.54% | 37 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 12 | Jean-Gabriel Pageau | 0 | C | 32 | 5 | 5 | 10 | -6 | 18 | 0 | 33 | 50 | 18 | 27 | 10.00% | 3 | 10.85 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 41 | 1 | 1 | 55.24% | 487 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 13 | Shakir Mukhamadullin | 0 | D | 32 | 2 | 7 | 9 | 0 | 16 | 0 | 24 | 18 | 2 | 10 | 11.11% | 35 | 15.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.36 | 0 | 0 | |
| 14 | Hampus Lindholm | 0 | D | 32 | 1 | 6 | 7 | 0 | 18 | 0 | 42 | 37 | 11 | 16 | 2.70% | 47 | 21.94 | 0 | 1 | 1 | 71 | 0 | 0 | 0 | 102 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 15 | Brett Howden | 0 | C/LW/RW | 32 | 2 | 4 | 6 | -7 | 13 | 5 | 20 | 48 | 14 | 27 | 4.17% | 4 | 9.83 | 0 | 1 | 1 | 6 | 0 | 1 | 1 | 39 | 0 | 0 | 60.61% | 33 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 16 | Kyle Palmieri | 21 | RW | 32 | 3 | 3 | 6 | -8 | 4 | 0 | 18 | 70 | 17 | 36 | 4.29% | 2 | 13.73 | 1 | 1 | 2 | 64 | 0 | 0 | 0 | 0 | 0 | 1 | 54.55% | 22 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 17 | Mark Kastelic | 0 | C | 15 | 0 | 4 | 4 | 1 | 6 | 0 | 9 | 17 | 6 | 15 | 0.00% | 4 | 8.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 48.20% | 139 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
| 18 | Evgenii Dadonov | 32 | LW/RW | 32 | 0 | 0 | 0 | -3 | 4 | 0 | 2 | 21 | 8 | 10 | 0.00% | 1 | 5.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.15% | 13 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 561 | 95 | 168 | 263 | 12 | 257 | 15 | 613 | 1067 | 311 | 728 | 8.90% | 296 | 16.87 | 23 | 44 | 67 | 1029 | 2 | 3 | 5 | 827 | 19 | 7 | 53.06% | 2763 | 0 | 0 | 2 | 1 | 0.56 | 1 | 3 |
| 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 | 28 | 17 | 9 | 1 | 0.923 | 2.49 | 1642 | 2 | 1 | 68 | 887 | 0 | 1 | 0 | 0.000 | 0 | 28 | 4 | 5 | 1 | 3 | |
| 2 | Calvin Pickard | 6 | 3 | 1 | 1 | 0.924 | 2.74 | 285 | 0 | 0 | 13 | 171 | 0 | 0 | 0 | 0.500 | 4 | 4 | 28 | 2 | 0 | 1 | |
| Team Total or Average | 34 | 20 | 10 | 2 | 0.923 | 2.52 | 1927 | 2 | 1 | 81 | 1058 | 0 | 1 | 0 | 0.500 | 4 | 32 | 32 | 7 | 1 | 4 |
| Projected Total Cap Hit | 94,026,833$ |
| Projected Cap Space | 1,473,167$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 34,350,045$ |
| 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 | |||||
Artemi Panarin ![]() | LW | 34 | 11,642,578$ | 11,642,578$ | 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 | 31 | 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 | 34 | 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$ | |||||||
Nick Schmaltz ![]() | C/LW/RW | 29 | 5,850,000$ | 5,850,000$ | UFA | ||||||
Ryan Donato ![]() | C/LW | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 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 | 23 | 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 | 25 | 950,000$ | 950,000$ | |||||||
Adam Raska | RW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Aleksanteri Kaskimaki | C | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Alexander Campbell | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Angus Booth | D | 21 | 826,667$ | 826,667$ | 826,667$ | RFA | |||||
Brett Berard | LW | 23 | 821,250$ | 775,000$ | RFA | ||||||
Cale Fleury | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Calum Ritchie | C | 20 | 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 | ||||||
Conor Timmins | D | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Damien Giroux | C | 25 | 775,000$ | 775,000$ | |||||||
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 | ||||||
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 | 24 | 0$ | RFA | |||||||
Matthew Kessel | D | 25 | 800,000$ | 800,000$ | |||||||
Mike O'Leary | LW | 27 | 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 | 22 | 877,000$ | 877,000$ | 877,000$ | RFA | |||||
Tim Gettinger | LW | 27 | 800,000$ | 800,000$ | |||||||
Zach Sawchenko | G | 27 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 74 | 52 | 68 | 21 | 37 | 19 | 75.0% | 8.8% | 96.6% | 105.3 | DULL | |
| 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 1 | 1 | 33 | 14 | 8 | 10 | 1 | 28 | 15 | 14 | 19 | 5 | 2 | 40.00% | 6 | 1 | 83.33% | 0 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 27 | 19 | 22 | 6 | 12 | 6 | 50.0% | 12.1% | 89.3% | 101.4 | FUN | |
| 4 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 26 | 19 | 21 | 5 | 11 | 6 | 50.0% | 7.3% | 91.3% | 98.6 | DULL | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 30 | 11 | 14 | 5 | 0 | 36 | 9 | 8 | 20 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 21 | 14 | 27 | 7 | 11 | 5 | 50.0% | 3.3% | 94.4% | 97.8 | DULL | |
| 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 3 | 0 | 69 | 21 | 26 | 22 | 0 | 72 | 11 | 16 | 39 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 1 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 46 | 33 | 48 | 14 | 24 | 11 | 60.0% | 10.1% | 94.4% | 104.6 | LUCKY | |
| 7 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 16 | 24 | 0 | 0 | 1 | 4 | 3 | 1 | 68 | 28 | 23 | 17 | 4 | 88 | 20 | 24 | 36 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 47 | 33 | 50 | 14 | 26 | 13 | 58.3% | 11.8% | 92.0% | 103.8 | LUCKY | |
| 8 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 49 | 34 | 46 | 13 | 24 | 12 | 50.0% | 11.4% | 86.5% | 97.9 | FUN | |
| 9 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 24 | 17 | 22 | 7 | 12 | 6 | 0.0% | 2.9% | 94.6% | 97.5 | DULL | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 11 | 17 | 8 | 0 | 24 | 5 | 2 | 16 | 6 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 24 | 17 | 22 | 7 | 12 | 6 | 16.7% | 2.8% | 79.2% | 81.9 | Unlucky | |
| 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 22 | 10 | 5 | 7 | 0 | 28 | 9 | 16 | 21 | 3 | 1 | 33.33% | 8 | 0 | 100.00% | 0 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 22 | 16 | 24 | 7 | 12 | 5 | 60.0% | 18.2% | 92.9% | 111.0 | LUCKY | |
| 12 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 22 | 15 | 25 | 6 | 12 | 6 | 50.0% | 9.4% | 97.2% | 106.6 | LUCKY | |
| 13 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 46 | 32 | 47 | 14 | 25 | 11 | 58.3% | 14.5% | 93.6% | 108.1 | LUCKY | |
| 14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 60 | 14 | 25 | 21 | 0 | 72 | 19 | 20 | 34 | 6 | 0 | 0.00% | 8 | 0 | 100.00% | 1 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 45 | 30 | 48 | 15 | 25 | 12 | 20.0% | 3.3% | 88.9% | 92.2 | Unlucky | |
| 15 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 20 | 13 | 28 | 6 | 11 | 5 | 28.6% | 7.4% | 89.4% | 96.8 | Unlucky | |
| 16 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 50 | 36 | 44 | 14 | 24 | 12 | 80.0% | 10.4% | 95.5% | 105.8 | LUCKY | |
| 17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 33 | 9 | 12 | 12 | 0 | 44 | 9 | 15 | 13 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 25 | 17 | 22 | 7 | 12 | 6 | 50.0% | 3.0% | 95.5% | 98.5 | DULL | |
| 18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 38 | 15 | 13 | 10 | 0 | 31 | 4 | 8 | 15 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 23 | 15 | 23 | 7 | 13 | 6 | 80.0% | 13.2% | 93.5% | 106.7 | LUCKY | |
| 19 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 51 | 36 | 45 | 14 | 24 | 12 | 30.0% | 9.5% | 85.9% | 95.5 | FUN | |
| 20 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 49 | 33 | 46 | 16 | 25 | 13 | 66.7% | 8.3% | 95.3% | 103.7 | DULL | |
| 21 | 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 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 55 | 39 | 40 | 14 | 24 | 12 | 33.3% | 5.7% | 92.2% | 97.9 | DULL | |
| _Vs Division | 10 | 7 | 1 | 0 | 1 | 0 | 0 | 1 | 32 | 24 | 8 | 17 | 0.850 | 32 | 61 | 93 | 0 | 0 | 9 | 12 | 10 | 2 | 329 | 124 | 113 | 91 | 5 | 345 | 99 | 84 | 192 | 24 | 7 | 29.17% | 36 | 4 | 88.89% | 1 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 242 | 172 | 240 | 69 | 123 | 61 | 55.6% | 9.7% | 93.0% | 102.8 | LUCKY | |
| _Vs Conference | 16 | 9 | 4 | 0 | 1 | 1 | 0 | 1 | 49 | 46 | 3 | 22 | 0.688 | 49 | 90 | 139 | 0 | 0 | 15 | 17 | 16 | 2 | 514 | 179 | 172 | 160 | 7 | 559 | 154 | 136 | 300 | 46 | 12 | 26.09% | 60 | 6 | 90.00% | 2 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 386 | 272 | 382 | 114 | 199 | 99 | 48.1% | 9.5% | 91.8% | 101.3 | LUCKY | |
| _Since Last GM Reset | 32 | 18 | 10 | 0 | 2 | 1 | 0 | 1 | 95 | 82 | 13 | 42 | 0.656 | 95 | 171 | 266 | 0 | 1 | 34 | 25 | 34 | 3 | 1068 | 369 | 346 | 349 | 8 | 1058 | 272 | 260 | 609 | 116 | 23 | 19.83% | 115 | 13 | 88.70% | 2 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 780 | 547 | 751 | 230 | 397 | 200 | 51.1% | 8.9% | 92.2% | 101.1 | Unlucky | |
| Total | 32 | 18 | 10 | 0 | 2 | 1 | 0 | 1 | 95 | 82 | 13 | 42 | 0.656 | 95 | 171 | 266 | 0 | 1 | 34 | 25 | 34 | 3 | 1068 | 369 | 346 | 349 | 8 | 1058 | 272 | 260 | 609 | 116 | 23 | 19.83% | 115 | 13 | 88.70% | 2 | 619 | 1153 | 53.69% | 608 | 1157 | 52.55% | 253 | 480 | 52.71% | 780 | 547 | 751 | 230 | 397 | 200 | 51.1% | 8.9% | 92.2% | 101.1 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1153 |
| Neutral Zone Start | 480 |
| Defensive Zone Start | 1157 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1480 |
| Faceoffs Lost | 1310 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.5 | 9.57 |
| 2nd Period | 22.3 | 20.31 |
| 3rd Period | 33.3 | 30.68 |
| Overtime | 33.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.9 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 70 |
|---|---|
| PP Goal | 23 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 10 | 10 |
| Lost | 6 | 4 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 116 |
|---|---|
| PP Goal | 23 |
| PK Attempt | 115 |
| PK Goal Against | 13 |
| Home | |
|---|---|
| Shots For | 33.4 |
| Shots Against | 33.1 |
| Goals For | 3.0 |
| Goals Against | 2.6 |
| Hits | 19.0 |
| Shots Blocked | 8.5 |
| Pim | 8.1 |
| 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 | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 93,917,578$ | 0$ | 94,026,833$ | 1,582,422$ |
| 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 | 98747 | 80408 | 31910 | 64709 | 16099 |
| Attendance PCT | 96.81% | 94.60% | 93.85% | 95.16% | 94.70% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 24 | 17169 - 95.38% | 1,579,389$ | 26,849,619$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 93,917,578$ | 93,917,578$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 34,714,606$ | 489,154$ | 34,350,045$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 37,905,344$ | 122 | 494,362$ | 60,312,164$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 62,163,354$ | 93,917,578$ | 36,771,527$ | 12,513,517$ |
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) |
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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. |
| 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 | |||
| Alex Gagne | 2021 | 203 | |||
| 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 | |||
| Connor Clattenburg | 2024 | 181 | |||
| Dylan James | 2022 | 77 | |||
| Eemil Vinni | 2024 | 85 | |||
| Filip Westerlund | 4.0 - 5.5 | ||||
| Ilya Fedotov | 2021 | 74 | |||
| Jackson Dorrington | 2022 | 214 | |||
| 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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