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Full Scoreboard »» |
Carolina Hurricanes 3-1-0, 6pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 10 | LW | 100.00 | 56 | 32 | 91 | 88 | 68 | 89 | 90 | 83 | 56 | 87 | 87 | 52 | 85 | 82 | 81 | 0 | 45 | 91 | 33 | 11,642,578$/1yrs | |||
![]() | 0 | C/LW | 99.00 | 64 | 32 | 82 | 83 | 69 | 89 | 89 | 78 | 87 | 82 | 81 | 69 | 79 | 72 | 70 | 0 | 45 | 88 | 28 | 9,750,000$/7yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 33 | 83 | 74 | 68 | 86 | 90 | 72 | 58 | 72 | 80 | 56 | 76 | 83 | 82 | 0 | 45 | 83 | 34 | 6,250,000$/3yrs | |||
![]() | 0 | LW/RW | 99.00 | 64 | 32 | 85 | 72 | 69 | 89 | 83 | 71 | 59 | 69 | 79 | 66 | 75 | 75 | 74 | 0 | 45 | 82 | 30 | 4,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 35 | 91 | 70 | 79 | 87 | 89 | 68 | 90 | 72 | 68 | 83 | 68 | 77 | 76 | 0 | 45 | 82 | 30 | 8,000,000$/5yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 56 | 32 | 94 | 75 | 71 | 87 | 90 | 71 | 75 | 77 | 72 | 64 | 71 | 74 | 74 | 0 | 45 | 82 | 29 | 5,850,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 36 | 82 | 75 | 74 | 82 | 90 | 73 | 76 | 72 | 79 | 54 | 76 | 74 | 72 | 0 | 45 | 82 | 29 | 4,000,000$/4yrs | |||
![]() | 21 | RW | 100.00 | 66 | 33 | 90 | 68 | 76 | 86 | 90 | 70 | 59 | 68 | 76 | 64 | 73 | 83 | 82 | 0 | 45 | 81 | 34 | 4,900,000$/3yrs | |||
![]() | 0 | C | 100.00 | 80 | 35 | 92 | 64 | 71 | 83 | 90 | 65 | 88 | 69 | 65 | 79 | 65 | 80 | 79 | 0 | 45 | 79 | 32 | 3,250,000$/3yrs | |||
![]() | 32 | LW/RW | 100.00 | 63 | 32 | 94 | 63 | 73 | 78 | 85 | 64 | 55 | 65 | 71 | 55 | 67 | 86 | 85 | 0 | 45 | 77 | 36 | 1,850,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 33 | 88 | 59 | 78 | 82 | 90 | 61 | 61 | 63 | 63 | 78 | 62 | 70 | 68 | 0 | 45 | 75 | 27 | 4,000,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 74 | 32 | 91 | 63 | 65 | 73 | 70 | 59 | 60 | 59 | 66 | 59 | 62 | 62 | 61 | 0 | 45 | 72 | 23 | 821,250$/1yrs | |||
![]() | 17 | D | 99.00 | 72 | 32 | 81 | 71 | 74 | 95 | 87 | 67 | 30 | 77 | 59 | 70 | 63 | 71 | 69 | 0 | 45 | 82 | 27 | 6,000,000$/5yrs | |||
![]() | 6 | D | 100.00 | 71 | 36 | 87 | 62 | 84 | 90 | 90 | 66 | 30 | 66 | 60 | 86 | 63 | 80 | 79 | 0 | 46 | 81 | 32 | 4,975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 33 | 92 | 69 | 83 | 93 | 89 | 63 | 30 | 73 | 69 | 68 | 66 | 65 | 64 | 0 | 45 | 80 | 24 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 36 | 74 | 60 | 87 | 94 | 79 | 63 | 30 | 68 | 59 | 74 | 61 | 78 | 75 | 0 | 45 | 78 | 31 | 6,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 67 | 32 | 87 | 61 | 75 | 86 | 70 | 58 | 30 | 66 | 58 | 70 | 58 | 64 | 62 | 0 | 45 | 75 | 23 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 33 | 92 | 58 | 77 | 82 | 88 | 57 | 30 | 65 | 57 | 62 | 57 | 70 | 69 | 0 | 45 | 73 | 27 | 2,500,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.83 | 68 | 33 | 88 | 69 | 75 | 86 | 86 | 67 | 56 | 71 | 69 | 67 | 68 | 75 | 73 | 0 | 45 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 85 | 95 | 83 | 71 | 90 | 81 | 90 | 93 | 90 | 92 | 90 | 79 | 83 | 0 | 46 | 91 | 32 | 5,000,000$/1yrs |
![]() | 31 | 100.00 | 71 | 81 | 75 | 84 | 85 | 78 | 85 | 89 | 83 | 90 | 85 | 81 | 85 | 0 | 46 | 86 | 33 | 1,200,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 78 | 88 | 79 | 78 | 88 | 80 | 88 | 91 | 87 | 91 | 88 | 80 | 84 | 0 | 46 | 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 |
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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 |
# | 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 | Thomas Harley | 0 | D | 4 | 0 | 5 | 5 | 3 | 2 | 0 | 1 | 5 | 1 | 0 | 0.00% | 1 | 18.44 | 0 | 2 | 2 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.36 | 0 | 0 | |
2 | Nick Schmaltz | 0 | C/LW/RW | 4 | 1 | 3 | 4 | 3 | 0 | 0 | 2 | 15 | 3 | 6 | 6.67% | 0 | 17.20 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 1.16 | 0 | 0 | |
3 | Artemi Panarin | 10 | LW | 4 | 2 | 1 | 3 | 0 | 0 | 0 | 3 | 16 | 1 | 8 | 12.50% | 0 | 18.63 | 1 | 1 | 2 | 15 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 9 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |
4 | Elias Lindholm | 0 | C/RW | 4 | 3 | 0 | 3 | 2 | 6 | 0 | 8 | 7 | 4 | 3 | 42.86% | 1 | 20.86 | 1 | 0 | 1 | 12 | 0 | 0 | 0 | 16 | 2 | 0 | 58.12% | 117 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
5 | Jonathan Marchessault | 0 | LW/RW | 4 | 1 | 2 | 3 | 3 | 4 | 0 | 8 | 9 | 2 | 7 | 11.11% | 0 | 16.97 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 6 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | |
6 | Sebastian Aho | 0 | C/LW | 4 | 1 | 2 | 3 | 0 | 8 | 0 | 4 | 15 | 4 | 9 | 6.67% | 1 | 21.26 | 1 | 1 | 2 | 15 | 0 | 0 | 0 | 14 | 0 | 0 | 55.08% | 118 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
7 | Filip Hronek | 17 | D | 4 | 0 | 2 | 2 | 3 | 6 | 0 | 6 | 8 | 1 | 1 | 0.00% | 7 | 24.84 | 0 | 1 | 1 | 13 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
8 | Adam Larsson | 6 | D | 4 | 0 | 1 | 1 | 1 | 7 | 5 | 8 | 6 | 3 | 5 | 0.00% | 5 | 23.94 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
9 | Kyle Palmieri | 21 | RW | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 5 | 2 | 3 | 20.00% | 0 | 10.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
10 | Ryan Donato | 0 | C/LW | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 2 | 4 | 14.29% | 0 | 10.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 56 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
11 | Eetu Luostarinen | 0 | C/LW | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 5 | 2 | 6 | 0.00% | 0 | 14.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
12 | Shakir Mukhamadullin | 0 | D | 4 | 0 | 1 | 1 | -1 | 4 | 0 | 4 | 3 | 2 | 3 | 0.00% | 6 | 17.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
13 | Artturi Lehkonen | 0 | LW/RW | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 6 | 1 | 6 | 0.00% | 4 | 22.25 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 18 | 0 | 0 | 41.67% | 12 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Evgenii Dadonov | 32 | LW/RW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 0.00% | 0 | 5.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Hampus Lindholm | 0 | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 0 | 0 | 0.00% | 7 | 22.97 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Jean-Gabriel Pageau | 0 | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 2 | 4 | 0.00% | 0 | 6.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 65.71% | 35 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Nick Perbix | 0 | D | 4 | 0 | 0 | 0 | -1 | 8 | 0 | 6 | 0 | 1 | 1 | 0.00% | 4 | 12.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Brett Berard | 0 | LW | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 4 | 0 | 2 | 0.00% | 0 | 5.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 72 | 10 | 18 | 28 | 13 | 49 | 5 | 77 | 123 | 34 | 71 | 8.13% | 36 | 16.16 | 3 | 5 | 8 | 136 | 0 | 0 | 0 | 147 | 3 | 1 | 53.23% | 372 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 |
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 | 4 | 3 | 1 | 0 | 0.950 | 1.49 | 241 | 0 | 1 | 6 | 121 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 2 | 0 | 0 | |
Team Total or Average | 4 | 3 | 1 | 0 | 0.950 | 1.49 | 241 | 0 | 1 | 6 | 121 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 2 | 0 | 0 |
Projected Total Cap Hit | 94,942,656$ |
Projected Cap Space | 557,344$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 4,944,930$ |
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 | 32 | 4,975,000$ | 4,975,000$ | 4,975,000$ | UFA | |||||
Artemi Panarin ![]() | LW | 33 | 11,642,578$ | 11,642,578$ | UFA | ||||||
Artturi Lehkonen ![]() | LW/RW | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Brett Berard ![]() | LW | 23 | 821,250$ | 775,000$ | RFA | ||||||
Calvin Pickard ![]() | G | 33 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Eetu Luostarinen ![]() | C/LW | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Elias Lindholm ![]() | C/RW | 30 | 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 | 27 | 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 | 32 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
Jonathan Marchessault ![]() | LW/RW | 34 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 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 | ||||
Nick Perbix ![]() | D | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
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$ | RFA |
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 | |||||
Cale Fleury ![]() | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Calum Ritchie ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Carl Grundstrom ![]() | LW/RW | 27 | 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 | 25 | 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 | |||||||
Mark Kastelic ![]() | C | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ![]() | ||||
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$ | ![]() | ||||||
Tyson Kozak ![]() | C | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
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 |
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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 28 | 13 | 9 | 6 | 0 | 33 | 8 | 12 | 18 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 86 | 158 | 54.43% | 82 | 159 | 51.57% | 30 | 54 | 55.56% | 22 | 14 | 25 | 7 | 12 | 6 | 66.7% | 7.1% | 97.0% | 104.1 | DULL | |
2 | 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 | 86 | 158 | 54.43% | 82 | 159 | 51.57% | 30 | 54 | 55.56% | 27 | 19 | 22 | 6 | 12 | 6 | 50.0% | 12.1% | 89.3% | 101.4 | FUN | |
3 | 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 | 86 | 158 | 54.43% | 82 | 159 | 51.57% | 30 | 54 | 55.56% | 25 | 17 | 22 | 7 | 12 | 6 | 50.0% | 3.0% | 95.5% | 98.5 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 1 | 1 | 1 | 0 | 29 | 14 | 5 | 10 | 0 | 16 | 4 | 8 | 27 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 86 | 158 | 54.43% | 82 | 159 | 51.57% | 30 | 54 | 55.56% | 24 | 16 | 22 | 8 | 13 | 6 | 100.0% | 10.3% | 100.0% | 110.3 | LUCKY | |
_Vs Division | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 1 | 1 | 61 | 27 | 17 | 16 | 1 | 61 | 23 | 26 | 37 | 6 | 2 | 33.33% | 11 | 1 | 90.91% | 0 | 86 | 158 | 54.43% | 82 | 159 | 51.57% | 30 | 54 | 55.56% | 49 | 33 | 47 | 14 | 24 | 12 | 57.1% | 9.8% | 93.4% | 103.3 | LUCKY | |
_Vs Conference | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 1 | 1 | 61 | 27 | 17 | 16 | 1 | 61 | 23 | 26 | 37 | 6 | 2 | 33.33% | 11 | 1 | 90.91% | 0 | 86 | 158 | 54.43% | 82 | 159 | 51.57% | 30 | 54 | 55.56% | 49 | 33 | 47 | 14 | 24 | 12 | 57.1% | 9.8% | 93.4% | 103.3 | LUCKY | |
_Since Last GM Reset | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 0.750 | 10 | 18 | 28 | 0 | 1 | 3 | 3 | 3 | 1 | 123 | 50 | 34 | 38 | 1 | 121 | 36 | 49 | 77 | 15 | 3 | 20.00% | 20 | 2 | 90.00% | 0 | 86 | 158 | 54.43% | 82 | 159 | 51.57% | 30 | 54 | 55.56% | 98 | 67 | 92 | 30 | 50 | 24 | 63.6% | 8.1% | 95.0% | 103.2 | DULL | |
Total | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 0.750 | 10 | 18 | 28 | 0 | 1 | 3 | 3 | 3 | 1 | 123 | 50 | 34 | 38 | 1 | 121 | 36 | 49 | 77 | 15 | 3 | 20.00% | 20 | 2 | 90.00% | 0 | 86 | 158 | 54.43% | 82 | 159 | 51.57% | 30 | 54 | 55.56% | 98 | 67 | 92 | 30 | 50 | 24 | 63.6% | 8.1% | 95.0% | 103.2 | DULL |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 158 |
Neutral Zone Start | 54 |
Defensive Zone Start | 159 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 198 |
Faceoffs Lost | 173 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.5 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 30.5 | 30.68 |
Overtime | 30.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 7 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 15 |
---|---|
PP Goal | 3 |
PK Attempt | 20 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 30.8 |
Shots Against | 30.3 |
Goals For | 2.5 |
Goals Against | 1.5 |
Hits | 19.3 |
Shots Blocked | 9.0 |
Pim | 12.3 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
94,942,578$ | 0$ | 94,942,656$ | 557,422$ |
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 | 11344 | 9873 | 3823 | 7620 | 1836 |
Attendance PCT | 94.53% | 98.73% | 95.58% | 95.25% | 91.80% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 17248 - 95.82% | 1,571,886$ | 3,143,771$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
94,942,578$ | 94,942,578$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
4,997,010$ | 494,493$ | 4,944,930$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
61,303,534$ | 182 | 499,701$ | 90,945,582$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
93,969,372$ | 94,942,578$ | 43,822,162$ | 11,156,324$ |
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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 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 | ||||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
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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