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Full Scoreboard »» |
Carolina Hurricanes 45-18-4, 94pts · 3rd in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 86 | RW | 99.00 | 65 | 32 | 95 | 90 | 70 | 92 | 90 | 87 | 56 | 88 | 94 | 56 | 90 | 79 | 78 | 0 | 85 | 94 | 31 | 9,500,000$/3yrs | |||
![]() | 10 | LW | 99.00 | 54 | 32 | 95 | 94 | 68 | 89 | 90 | 84 | 56 | 86 | 90 | 48 | 87 | 81 | 81 | 0 | 83 | 92 | 33 | 11,642,578$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 71 | 32 | 86 | 73 | 69 | 88 | 82 | 75 | 58 | 74 | 77 | 72 | 76 | 74 | 73 | 0 | 83 | 84 | 29 | 4,500,000$/3yrs | |||
![]() | 0 | C/RW | 99.00 | 70 | 35 | 91 | 72 | 79 | 87 | 89 | 72 | 92 | 75 | 70 | 81 | 71 | 75 | 83 | 0 | 83 | 84 | 30 | 8,000,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 33 | 86 | 76 | 68 | 85 | 90 | 75 | 59 | 71 | 83 | 58 | 79 | 82 | 81 | 0 | 83 | 84 | 34 | 6,250,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 56 | 32 | 92 | 77 | 71 | 88 | 87 | 73 | 72 | 78 | 75 | 68 | 74 | 73 | 79 | 0 | 85 | 84 | 29 | 5,850,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 74 | 36 | 80 | 75 | 74 | 81 | 90 | 73 | 76 | 72 | 78 | 54 | 76 | 74 | 72 | 0 | 24 | 82 | 28 | 2,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 82 | 34 | 93 | 65 | 71 | 83 | 89 | 65 | 90 | 69 | 65 | 82 | 65 | 79 | 90 | 0 | 77 | 80 | 32 | 3,250,000$/4yrs | |||
![]() | 32 | LW/RW | 100.00 | 63 | 32 | 96 | 66 | 73 | 78 | 90 | 65 | 55 | 67 | 73 | 55 | 69 | 86 | 85 | 0 | 83 | 78 | 36 | 1,850,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 77 | 33 | 94 | 70 | 83 | 84 | 90 | 65 | 62 | 67 | 69 | 68 | 67 | 67 | 67 | 0 | 81 | 78 | 25 | 3,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 33 | 88 | 64 | 78 | 82 | 90 | 65 | 74 | 66 | 66 | 78 | 65 | 69 | 67 | 0 | 81 | 77 | 26 | 2,000,000$/1yrs | |||
![]() | 57 | RW | 100.00 | 80 | 61 | 66 | 60 | 80 | 79 | 90 | 63 | 62 | 59 | 67 | 79 | 65 | 71 | 68 | 0 | 83 | 76 | 27 | 850,000$/1yrs | |||
![]() | 17 | D | 98.00 | 72 | 32 | 83 | 73 | 74 | 93 | 88 | 68 | 30 | 77 | 61 | 69 | 65 | 70 | 68 | 0 | 84 | 83 | 27 | 6,000,000$/6yrs | |||
![]() | 6 | D | 100.00 | 82 | 36 | 78 | 60 | 84 | 94 | 90 | 67 | 30 | 65 | 59 | 86 | 63 | 79 | 90 | 0 | 83 | 81 | 32 | 4,975,000$/3yrs | |||
![]() | 0 | D | 99.00 | 65 | 35 | 73 | 67 | 87 | 94 | 89 | 67 | 30 | 74 | 60 | 72 | 63 | 77 | 74 | 0 | 70 | 81 | 31 | 6,500,000$/6yrs | |||
![]() | 0 | D | 99.00 | 60 | 33 | 92 | 71 | 83 | 93 | 90 | 62 | 30 | 74 | 67 | 69 | 66 | 63 | 63 | 0 | 67 | 80 | 23 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 33 | 95 | 62 | 77 | 84 | 90 | 63 | 30 | 68 | 54 | 70 | 59 | 69 | 68 | 0 | 75 | 77 | 26 | 1,125,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 45 | 74 | 62 | 85 | 87 | 90 | 59 | 30 | 65 | 53 | 76 | 56 | 71 | 69 | 0 | 71 | 76 | 27 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.56 | 69 | 36 | 87 | 71 | 76 | 87 | 89 | 69 | 55 | 72 | 70 | 69 | 70 | 74 | 75 | 0 | 77 | 82 |
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 | 100.00 | 88 | 95 | 83 | 71 | 84 | 77 | 86 | 90 | 85 | 88 | 86 | 77 | 82 | 0 | 81 | 88 | 31 | 5,000,000$/2yrs |
![]() | 0 | 99.00 | 78 | 89 | 78 | 99 | 85 | 71 | 85 | 81 | 89 | 85 | 77 | 81 | 80 | 0 | 81 | 87 | 31 | 1,500,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 83 | 92 | 81 | 85 | 85 | 74 | 86 | 86 | 87 | 87 | 82 | 79 | 81 | 0 | 81 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jim Montgomery | 93 | 97 | 91 | 85 | 77 | 72 | 97 | CAN | 57 | 5 | 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 | Nikita Kucherov | 86 | RW | 67 | 42 | 39 | 81 | 16 | 28 | 10 | 67 | 291 | 77 | 212 | 14.43% | 11 | 19.56 | 13 | 17 | 30 | 276 | 0 | 0 | 0 | 0 | 7 | 4 | 43.48% | 115 | 0 | 0 | 2 | 2 | 1.24 | 4 | 9 | |
2 | Elias Lindholm | 0 | C/RW | 67 | 29 | 45 | 74 | 7 | 54 | 10 | 107 | 251 | 72 | 191 | 11.55% | 45 | 21.75 | 8 | 14 | 22 | 267 | 1 | 1 | 2 | 182 | 5 | 1 | 55.32% | 2086 | 0 | 0 | 1 | 0 | 1.02 | 2 | 5 | |
3 | Artemi Panarin | 10 | LW | 67 | 26 | 31 | 57 | 10 | 6 | 0 | 39 | 259 | 71 | 196 | 10.04% | 7 | 18.88 | 8 | 18 | 26 | 276 | 0 | 0 | 0 | 5 | 5 | 2 | 46.40% | 125 | 0 | 0 | 0 | 0 | 0.90 | 1 | 9 | |
4 | Artturi Lehkonen | 0 | LW/RW | 67 | 25 | 32 | 57 | 9 | 38 | 0 | 120 | 263 | 82 | 184 | 9.51% | 16 | 19.55 | 5 | 16 | 21 | 232 | 1 | 1 | 2 | 181 | 6 | 5 | 38.61% | 101 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | |
5 | Nick Schmaltz | 0 | C/LW/RW | 67 | 20 | 36 | 56 | 14 | 13 | 5 | 31 | 209 | 50 | 156 | 9.57% | 15 | 17.66 | 11 | 8 | 19 | 237 | 0 | 0 | 0 | 0 | 4 | 1 | 48.47% | 1531 | 0 | 0 | 0 | 0 | 0.95 | 2 | 2 | |
6 | Filip Hronek | 17 | D | 67 | 8 | 35 | 43 | 12 | 56 | 0 | 104 | 102 | 35 | 42 | 7.84% | 105 | 25.06 | 5 | 12 | 17 | 274 | 0 | 1 | 1 | 192 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
7 | Jonathan Marchessault | 0 | LW/RW | 67 | 13 | 27 | 40 | 13 | 41 | 5 | 99 | 208 | 57 | 162 | 6.25% | 4 | 17.29 | 5 | 10 | 15 | 230 | 0 | 0 | 0 | 0 | 1 | 0 | 46.05% | 76 | 0 | 0 | 0 | 0 | 0.69 | 1 | 3 | |
8 | Hampus Lindholm | 0 | D | 66 | 7 | 24 | 31 | 4 | 54 | 0 | 94 | 90 | 25 | 73 | 7.78% | 72 | 22.20 | 4 | 9 | 13 | 243 | 0 | 0 | 0 | 144 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
9 | Thomas Harley | 0 | D | 60 | 7 | 20 | 27 | -2 | 6 | 0 | 18 | 79 | 24 | 52 | 8.86% | 59 | 22.64 | 4 | 8 | 12 | 226 | 0 | 2 | 2 | 192 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
10 | Jean-Gabriel Pageau | 0 | C | 62 | 8 | 16 | 24 | 2 | 20 | 0 | 77 | 103 | 31 | 79 | 7.77% | 20 | 14.25 | 1 | 2 | 3 | 56 | 0 | 0 | 0 | 143 | 1 | 1 | 51.28% | 977 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
11 | Eetu Luostarinen | 0 | C/LW | 64 | 11 | 10 | 21 | 3 | 12 | 0 | 34 | 107 | 37 | 79 | 10.28% | 11 | 12.02 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 118 | 1 | 0 | 47.81% | 228 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
12 | Brandon Duhaime | 57 | RW | 67 | 9 | 11 | 20 | -3 | 20 | 0 | 64 | 76 | 16 | 59 | 11.84% | 12 | 8.38 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 108 | 1 | 1 | 56.76% | 37 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
13 | Adam Larsson | 6 | D | 67 | 5 | 14 | 19 | -2 | 103 | 25 | 146 | 57 | 21 | 35 | 8.77% | 133 | 17.90 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 189 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
14 | Fabian Zetterlund | 0 | C/LW/RW | 65 | 7 | 10 | 17 | -1 | 24 | 0 | 47 | 76 | 19 | 67 | 9.21% | 2 | 10.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 38.71% | 62 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
15 | Ryan Donato | 0 | C/LW | 66 | 9 | 6 | 15 | -6 | 10 | 0 | 26 | 41 | 17 | 28 | 21.95% | 5 | 9.88 | 0 | 0 | 0 | 33 | 0 | 0 | 0 | 77 | 1 | 0 | 53.24% | 216 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
16 | Evgenii Dadonov | 32 | LW/RW | 67 | 4 | 7 | 11 | -1 | 2 | 0 | 11 | 51 | 10 | 41 | 7.84% | 5 | 8.63 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 49 | 0 | 0 | 44.83% | 58 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
17 | Johnathan Kovacevic | 0 | D | 67 | 1 | 8 | 9 | -1 | 69 | 15 | 105 | 25 | 12 | 27 | 4.00% | 79 | 14.48 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 120 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
18 | Nick Perbix | 0 | D | 10 | 1 | 3 | 4 | -4 | 4 | 0 | 6 | 4 | 3 | 3 | 25.00% | 9 | 12.79 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
Team Total or Average | 1130 | 232 | 374 | 606 | 70 | 560 | 70 | 1195 | 2292 | 659 | 1686 | 10.12% | 610 | 16.45 | 64 | 115 | 179 | 2379 | 3 | 5 | 8 | 1705 | 42 | 20 | 51.21% | 5612 | 0 | 0 | 3 | 2 | 0.65 | 10 | 28 |
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 | Anthony Stolarz | 43 | 30 | 10 | 1 | 0.916 | 2.55 | 2422 | 2 | 1 | 103 | 1221 | 0 | 0 | 1 | 0.813 | 16 | 41 | 24 | 3 | 3 | 1 | |
2 | Jordan Binnington | 26 | 13 | 9 | 1 | 0.911 | 2.83 | 1421 | 0 | 0 | 67 | 750 | 0 | 2 | 1 | 0.800 | 5 | 22 | 43 | 2 | 1 | 1 | |
Team Total or Average | 69 | 43 | 19 | 2 | 0.914 | 2.65 | 3843 | 2 | 1 | 170 | 1971 | 0 | 2 | 2 | 0.810 | 21 | 63 | 67 | 5 | 4 | 2 |
Projected Total Cap Hit | 87,435,199$ |
Projected Cap Space | 564,801$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 73,097,631$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Hurricanes Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Larsson ![]() | D | 32 | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | UFA | ||||
Anthony Stolarz | G | 31 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Artemi Panarin ![]() | LW | 33 | 11,642,578$ | 11,642,578$ | 11,642,578$ | UFA | |||||
Artturi Lehkonen ![]() | LW/RW | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Brandon Duhaime ![]() | RW | 27 | 850,000$ | 850,000$ | UFA | ||||||
Eetu Luostarinen ![]() | C/LW | 26 | 2,000,000$ | 2,000,000$ | |||||||
Elias Lindholm ![]() | C/RW | 30 | 8,000,000$ | 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$ | 1,850,000$ | UFA | |||||
Fabian Zetterlund ![]() | C/LW/RW | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Filip Hronek ![]() | D | 27 | 6,000,000$ | 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$ | 6,500,000$ | UFA | |
Jean-Gabriel Pageau ![]() | C | 32 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||
Johnathan Kovacevic ![]() | D | 27 | 775,000$ | 775,000$ | |||||||
Jonathan Marchessault ![]() | LW/RW | 34 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |||
Jordan Binnington | G | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Nick Perbix ![]() | D | 26 | 1,125,000$ | 1,125,000$ | |||||||
Nick Schmaltz ![]() | C/LW/RW | 29 | 5,850,000$ | 5,850,000$ | 5,850,000$ | UFA | |||||
Nikita Kucherov ![]() | RW | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Ryan Donato ![]() | C/LW | 28 | 2,250,000$ | 2,250,000$ | UFA | ||||||
Thomas Harley ![]() | D | 23 | 3,000,000$ | 3,000,000$ | 3,000,000$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ginning ![]() | D | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Adam Raska ![]() | RW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Aleksanteri Kaskimaki ![]() | C | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Artemi Knyazev ![]() | D | 24 | 0$ | RFA | |||||||
Brett Berard ![]() | LW | 22 | 821,250$ | 867,500$ | 775,000$ | RFA | |||||
Cale Fleury ![]() | D | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Calvin Pickard ![]() | G | 32 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Carl Grundstrom ![]() | LW/RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Charles Hudon ![]() | LW/RW | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Conor Timmins ![]() | D | 26 | 1,100,000$ | 1,100,000$ | ![]() | ||||||
Damien Giroux ![]() | C | 25 | 800,000$ | 800,000$ | ![]() | ||||||
David Farrance ![]() | D | 25 | 0$ | ![]() | |||||||
Dylan Gambrell ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Filip Kral ![]() | D | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Frederic Brunet ![]() | D | 21 | 0$ | RFA | |||||||
Henrik Tikkanen ![]() | G | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Jacob Melanson ![]() | RW | 21 | 826,111$ | 826,111$ | 826,111$ | RFA | |||||
James Malatesta ![]() | LW | 21 | 841,667$ | 841,667$ | 841,667$ | RFA | |||||
Jan Drozg ![]() | RW | 26 | 0$ | ![]() | |||||||
Jett Woo ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Jordan Bellerive ![]() | C | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Juuso Valimaki ![]() | D | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Kasper Halttunen ![]() | RW | 19 | 775,000$ | 775,000$ | RFA | ||||||
Keaton Middleton ![]() | D | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Mack Guzda ![]() | G | 24 | 897,500$ | 897,500$ | RFA | ||||||
Mark Kastelic ![]() | C | 25 | 835,000$ | 835,000$ | ![]() | ||||||
Matthew Kessel ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Niclas Almari ![]() | D | 26 | 0$ | ![]() | |||||||
Nolan Allan ![]() | D | 21 | 847,500$ | 847,500$ | RFA | ||||||
Owen Pederson ![]() | C/LW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Sampo Ranta ![]() | LW | 24 | 850,000$ | 850,000$ | ![]() | ||||||
Tim Gettinger ![]() | LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tobias Geisser ![]() | D | 26 | 0$ | ![]() | |||||||
Troy Grosenick ![]() | G | 35 | 775,000$ | 775,000$ | UFA | ||||||
Tyson Kozak ![]() | C | 22 | 850,000$ | 850,000$ | 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 64 | 24 | 18 | 22 | 0 | 65 | 22 | 12 | 32 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 45 | 31 | 48 | 13 | 25 | 12 | 33.3% | 7.8% | 86.2% | 94.0 | Unlucky | |
2 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 9 | -1 | 3 | 0.500 | 8 | 13 | 21 | 0 | 0 | 2 | 4 | 2 | 0 | 102 | 32 | 34 | 36 | 0 | 100 | 26 | 45 | 71 | 16 | 3 | 18.75% | 13 | 1 | 92.31% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 71 | 46 | 71 | 22 | 38 | 18 | 38.5% | 7.8% | 91.0% | 98.8 | Unlucky | |
3 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 15 | 12 | 3 | 6 | 0.750 | 15 | 25 | 40 | 0 | 0 | 6 | 3 | 5 | 1 | 155 | 47 | 43 | 63 | 6 | 148 | 50 | 36 | 78 | 13 | 4 | 30.77% | 15 | 6 | 60.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 97 | 70 | 98 | 28 | 48 | 24 | 64.7% | 9.7% | 91.9% | 101.6 | LUCKY | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 1 | 3 | 3 | 0 | 54 | 12 | 20 | 22 | 0 | 75 | 25 | 28 | 30 | 6 | 3 | 50.00% | 8 | 1 | 87.50% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 42 | 28 | 52 | 14 | 24 | 12 | 66.7% | 13.0% | 96.0% | 109.0 | LUCKY | |
5 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 4 | 2 | 3 | 1 | 104 | 38 | 32 | 32 | 5 | 97 | 31 | 26 | 70 | 12 | 2 | 16.67% | 11 | 1 | 90.91% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 71 | 48 | 74 | 23 | 38 | 19 | 57.1% | 9.6% | 92.8% | 102.4 | LUCKY | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 51 | 18 | 19 | 14 | 0 | 43 | 9 | 16 | 41 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 46 | 32 | 48 | 14 | 24 | 12 | 71.4% | 9.8% | 93.0% | 102.8 | LUCKY | |
7 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 8 | 3 | 5 | 0.833 | 11 | 19 | 30 | 0 | 0 | 3 | 6 | 2 | 0 | 121 | 30 | 39 | 50 | 5 | 81 | 29 | 22 | 46 | 20 | 5 | 25.00% | 10 | 2 | 80.00% | 1 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 78 | 57 | 69 | 22 | 37 | 18 | 50.0% | 9.1% | 90.1% | 99.2 | FUN | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 60 | 25 | 18 | 17 | 0 | 56 | 15 | 18 | 41 | 7 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 48 | 32 | 45 | 14 | 26 | 13 | 50.0% | 6.7% | 87.5% | 94.2 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 6 | 9 | 14 | 0 | 33 | 18 | 17 | 24 | 4 | 0 | 0.00% | 7 | 0 | 100.00% | 1 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 20 | 13 | 27 | 7 | 12 | 5 | 75.0% | 10.3% | 97.0% | 107.3 | LUCKY | |
10 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 6 | 4 | 3 | 0.750 | 10 | 18 | 28 | 0 | 0 | 4 | 4 | 2 | 0 | 82 | 22 | 35 | 23 | 5 | 73 | 25 | 12 | 40 | 13 | 3 | 23.08% | 6 | 0 | 100.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 51 | 36 | 48 | 14 | 24 | 13 | 53.8% | 12.2% | 91.8% | 104.0 | LUCKY | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 3 | 2 | 3 | 2 | 56 | 24 | 17 | 15 | 3 | 64 | 16 | 10 | 41 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 50 | 35 | 47 | 13 | 26 | 13 | 60.0% | 16.1% | 90.6% | 106.7 | FUN | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 78 | 23 | 21 | 34 | 0 | 39 | 17 | 17 | 41 | 16 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 53 | 38 | 41 | 14 | 25 | 13 | 50.0% | 3.8% | 92.3% | 96.2 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 35 | 8 | 13 | 14 | 0 | 34 | 15 | 4 | 18 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 21 | 14 | 25 | 7 | 12 | 6 | 75.0% | 8.6% | 94.1% | 102.7 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 41 | 16 | 18 | 7 | 0 | 30 | 6 | 8 | 18 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 25 | 18 | 22 | 7 | 12 | 6 | 80.0% | 14.6% | 96.7% | 111.3 | LUCKY | |
15 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 0 | 0.000 | 9 | 16 | 25 | 1 | 0 | 4 | 2 | 3 | 0 | 124 | 39 | 47 | 38 | 0 | 89 | 30 | 32 | 70 | 11 | 2 | 18.18% | 15 | 2 | 86.67% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 72 | 50 | 72 | 21 | 35 | 17 | 41.2% | 7.3% | 86.5% | 93.8 | Unlucky | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 6 | 3 | 1 | 0 | 79 | 24 | 24 | 31 | 0 | 45 | 17 | 10 | 33 | 15 | 5 | 33.33% | 5 | 2 | 60.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 51 | 37 | 42 | 15 | 25 | 12 | 45.5% | 12.7% | 82.2% | 94.9 | FUN | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 12 | 19 | 0 | 1 | 1 | 3 | 3 | 0 | 60 | 16 | 28 | 16 | 0 | 55 | 23 | 23 | 43 | 9 | 2 | 22.22% | 7 | 0 | 100.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 46 | 32 | 48 | 15 | 24 | 11 | 71.4% | 11.7% | 96.4% | 108.0 | LUCKY | |
18 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 2 | 3 | 0 | 2 | 60 | 26 | 11 | 20 | 5 | 60 | 20 | 21 | 32 | 11 | 1 | 9.09% | 7 | 0 | 100.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 47 | 32 | 50 | 16 | 26 | 13 | 41.7% | 10.0% | 88.3% | 98.3 | FUN | |
19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 5 | 0 | 6 | 0 | 85 | 27 | 27 | 31 | 0 | 60 | 20 | 6 | 29 | 11 | 4 | 36.36% | 2 | 0 | 100.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 52 | 39 | 44 | 12 | 23 | 12 | 70.0% | 12.9% | 95.0% | 107.9 | LUCKY | |
20 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 7 | 2 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 3 | 2 | 4 | 0 | 67 | 19 | 17 | 29 | 5 | 79 | 24 | 22 | 32 | 12 | 3 | 25.00% | 11 | 2 | 81.82% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 50 | 35 | 50 | 15 | 24 | 12 | 54.5% | 13.4% | 91.1% | 104.6 | Unlucky | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 4 | 1 | 1 | 0 | 69 | 25 | 24 | 20 | 0 | 58 | 28 | 12 | 33 | 9 | 2 | 22.22% | 5 | 1 | 80.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 51 | 38 | 43 | 14 | 24 | 12 | 66.7% | 8.7% | 94.8% | 103.5 | DULL | |
22 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 9 | 3 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 8 | 2 | 1 | 2 | 92 | 21 | 34 | 35 | 7 | 108 | 32 | 28 | 48 | 14 | 5 | 35.71% | 14 | 1 | 92.86% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 72 | 52 | 74 | 23 | 37 | 18 | 46.7% | 13.0% | 91.7% | 104.7 | LUCKY | |
23 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 16 | 25 | 1 | 0 | 6 | 1 | 2 | 0 | 129 | 41 | 45 | 43 | 0 | 145 | 38 | 42 | 75 | 18 | 2 | 11.11% | 20 | 5 | 75.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 96 | 66 | 96 | 28 | 47 | 23 | 38.9% | 7.0% | 89.0% | 95.9 | Unlucky | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 2 | 1 | 2 | 2 | 90 | 29 | 24 | 28 | 14 | 50 | 14 | 10 | 36 | 10 | 1 | 10.00% | 5 | 1 | 80.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 59 | 43 | 39 | 14 | 25 | 13 | 62.5% | 6.7% | 92.0% | 98.7 | DULL | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 32 | 8 | 14 | 10 | 0 | 23 | 9 | 4 | 21 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 24 | 17 | 22 | 6 | 12 | 6 | 50.0% | 12.5% | 91.3% | 103.8 | LUCKY | |
26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 4 | 2 | 2 | 0 | 67 | 18 | 27 | 22 | 0 | 60 | 21 | 20 | 38 | 12 | 4 | 33.33% | 9 | 3 | 66.67% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 49 | 35 | 45 | 14 | 24 | 12 | 66.7% | 11.9% | 91.7% | 103.6 | LUCKY | |
27 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 2 | 5 | 2 | 0 | 70 | 18 | 26 | 26 | 0 | 63 | 20 | 21 | 37 | 9 | 3 | 33.33% | 7 | 2 | 71.43% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 49 | 33 | 47 | 14 | 23 | 12 | 54.5% | 12.9% | 88.9% | 101.7 | FUN | |
28 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 16 | 25 | 1 | 0 | 5 | 4 | 0 | 0 | 108 | 37 | 39 | 32 | 0 | 100 | 24 | 13 | 55 | 15 | 3 | 20.00% | 4 | 1 | 75.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 75 | 52 | 66 | 21 | 37 | 19 | 46.2% | 8.3% | 92.0% | 100.3 | DULL | |
29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 40 | 15 | 11 | 14 | 0 | 25 | 8 | 10 | 19 | 6 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 24 | 17 | 23 | 7 | 11 | 6 | 60.0% | 7.5% | 84.0% | 91.5 | Unlucky | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 4 | 1 | 0 | 70 | 21 | 26 | 23 | 0 | 44 | 11 | 10 | 39 | 7 | 2 | 28.57% | 5 | 1 | 80.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 47 | 33 | 48 | 13 | 24 | 13 | 60.0% | 11.4% | 88.6% | 100.1 | FUN | |
31 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 4 | 1 | 3 | 0 | 77 | 32 | 20 | 25 | 0 | 66 | 15 | 40 | 36 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 0 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 50 | 36 | 44 | 13 | 24 | 12 | 77.8% | 10.4% | 93.9% | 104.3 | LUCKY | |
_Vs Division | 22 | 9 | 8 | 0 | 0 | 1 | 2 | 2 | 72 | 66 | 6 | 25 | 0.568 | 72 | 124 | 196 | 2 | 0 | 30 | 24 | 16 | 2 | 801 | 247 | 267 | 279 | 21 | 744 | 223 | 196 | 435 | 107 | 22 | 20.56% | 79 | 16 | 79.75% | 1 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 542 | 378 | 526 | 160 | 272 | 137 | 50.0% | 9.0% | 91.1% | 100.1 | Unlucky | |
_Vs Conference | 39 | 18 | 14 | 0 | 0 | 1 | 3 | 3 | 136 | 115 | 21 | 46 | 0.590 | 136 | 239 | 375 | 3 | 0 | 54 | 40 | 39 | 4 | 1382 | 414 | 465 | 491 | 33 | 1307 | 407 | 368 | 746 | 181 | 42 | 23.20% | 151 | 27 | 82.12% | 2 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 951 | 665 | 941 | 284 | 479 | 242 | 51.6% | 9.8% | 91.2% | 101.0 | LUCKY | |
_Since Last GM Reset | 67 | 39 | 18 | 0 | 0 | 1 | 6 | 3 | 233 | 183 | 50 | 94 | 0.701 | 233 | 405 | 638 | 3 | 1 | 89 | 72 | 66 | 10 | 2351 | 741 | 780 | 806 | 55 | 2068 | 658 | 595 | 1267 | 307 | 65 | 21.17% | 238 | 42 | 82.35% | 3 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 1650 | 1160 | 1585 | 487 | 831 | 421 | 54.4% | 9.9% | 91.2% | 101.1 | LUCKY | |
Total | 67 | 39 | 18 | 0 | 0 | 1 | 6 | 3 | 233 | 183 | 50 | 94 | 0.701 | 233 | 405 | 638 | 3 | 1 | 89 | 72 | 66 | 10 | 2351 | 741 | 780 | 806 | 55 | 2068 | 658 | 595 | 1267 | 307 | 65 | 21.17% | 238 | 42 | 82.35% | 3 | 1315 | 2533 | 51.91% | 1229 | 2355 | 52.19% | 529 | 1023 | 51.71% | 1650 | 1160 | 1585 | 487 | 831 | 421 | 54.4% | 9.9% | 91.2% | 101.1 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2533 |
Neutral Zone Start | 1023 |
Defensive Zone Start | 2355 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3073 |
Faceoffs Lost | 2838 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 22.7 | 20.31 |
3rd Period | 34.7 | 30.68 |
Overtime | 35.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 162 |
---|---|
PP Goal | 65 |
PK Goal | 3 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 23 | 22 |
Lost | 11 | 7 |
Overtime Lost | 1 | 3 |
PP Attempt | 307 |
---|---|
PP Goal | 65 |
PK Attempt | 238 |
PK Goal Against | 42 |
Home | |
---|---|
Shots For | 35.1 |
Shots Against | 30.9 |
Goals For | 3.5 |
Goals Against | 2.7 |
Hits | 18.9 |
Shots Blocked | 9.8 |
Pim | 8.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-13 | @ | Lightning4,Hurricanes3 | RECAP | |||||||||||
2024-10-14 | @ | Hurricanes4,Lightning5 | RECAP | |||||||||||
2024-10-17 | @ | Devils4,Hurricanes5 (SO) | RECAP | |||||||||||
2024-10-20 | @ | Hurricanes4,Penguins3 | RECAP | |||||||||||
2024-10-21 | @ | Hurricanes3,Blues0 | RECAP | |||||||||||
2024-10-24 | @ | Hurricanes4,Oilers3 | RECAP | |||||||||||
2024-10-26 | @ | Hurricanes4,Flames3 | RECAP | |||||||||||
2024-10-28 | @ | Hurricanes4,Kraken2 | RECAP | |||||||||||
2024-10-30 | @ | Hurricanes1,Canucks2 | RECAP | |||||||||||
2024-11-02 | @ | Bruins1,Hurricanes4 | RECAP | |||||||||||
2024-11-05 | @ | Capitals2,Hurricanes7 | RECAP | |||||||||||
2024-11-07 | @ | Flyers3,Hurricanes1 | RECAP | |||||||||||
2024-11-09 | @ | Penguins3,Hurricanes1 | RECAP | |||||||||||
2024-11-11 | @ | Hurricanes2,Avalanche1 | RECAP | |||||||||||
2024-11-13 | @ | Hurricanes4,Golden Knights2 | RECAP | |||||||||||
2024-11-15 | @ | Hurricanes3,Hockey Club5 | RECAP | |||||||||||
2024-11-18 | @ | Senators2,Hurricanes4 | RECAP | |||||||||||
2024-11-19 | @ | Blues2,Hurricanes4 | RECAP | |||||||||||
2024-11-22 | @ | Hurricanes4,Flyers5 (OT) | RECAP | |||||||||||
2024-11-23 | @ | Hurricanes4,Devils2 | RECAP | |||||||||||
2024-11-25 | @ | Hurricanes2,Blue Jackets4 | RECAP | |||||||||||
2024-11-27 | @ | Stars2,Hurricanes4 | RECAP | |||||||||||
2024-11-29 | @ | Rangers4,Hurricanes3 (SO) | RECAP | |||||||||||
2024-12-01 | @ | Panthers4,Hurricanes5 (SO) | RECAP | |||||||||||
2024-12-02 | @ | Hurricanes4,Panthers1 | RECAP | |||||||||||
2024-12-05 | @ | Kraken2,Hurricanes4 | RECAP | |||||||||||
2024-12-07 | @ | Avalanche2,Hurricanes3 | RECAP | |||||||||||
2024-12-09 | @ | Hurricanes5,Islanders1 | RECAP | |||||||||||
2024-12-12 | @ | Sharks4,Hurricanes3 | RECAP | |||||||||||
2024-12-15 | @ | Senators1,Hurricanes3 | RECAP | |||||||||||
2024-12-17 | @ | Blue Jackets4,Hurricanes2 | RECAP | |||||||||||
2024-12-19 | @ | Islanders3,Hurricanes1 | RECAP | |||||||||||
2024-12-22 | @ | Hurricanes3,Capitals4 (SO) | RECAP | |||||||||||
2024-12-24 | @ | Hurricanes4,Rangers3 | RECAP | |||||||||||
2024-12-25 | @ | Hurricanes6,Predators1 | RECAP | |||||||||||
2024-12-29 | @ | Hurricanes3,Devils2 | RECAP | |||||||||||
2024-12-30 | @ | Devils4,Hurricanes3 | RECAP | |||||||||||
2025-01-02 | @ | Hurricanes2,Blue Jackets3 | RECAP | |||||||||||
2025-01-04 | @ | Hurricanes3,Panthers4 | RECAP | |||||||||||
2025-01-06 | @ | Wild3,Hurricanes5 | RECAP | |||||||||||
2025-01-07 | @ | Penguins2,Hurricanes4 | RECAP | |||||||||||
2025-01-11 | @ | Maple Leafs3,Hurricanes4 | RECAP | |||||||||||
2025-01-12 | @ | Canucks1,Hurricanes2 | RECAP | |||||||||||
2025-01-14 | @ | Ducks2,Hurricanes4 | RECAP | |||||||||||
2025-01-17 | @ | Hurricanes4,Sabres5 (SO) | RECAP | |||||||||||
2025-01-19 | @ | Golden Knights3,Hurricanes4 | RECAP | |||||||||||
2025-01-22 | @ | Hurricanes3,Blackhawks2 | RECAP | |||||||||||
2025-01-23 | @ | Hurricanes4,Stars3 | RECAP | |||||||||||
2025-01-25 | @ | Blue Jackets5,Hurricanes3 | RECAP | |||||||||||
2025-01-27 | @ | Hurricanes4,Islanders3 (SO) | RECAP | |||||||||||
2025-01-30 | @ | Hurricanes4,Rangers1 | RECAP | |||||||||||
2025-02-01 | @ | Blackhawks1,Hurricanes3 | RECAP | |||||||||||
2025-02-03 | @ | Kings2,Hurricanes3 | RECAP | |||||||||||
2025-02-06 | @ | Hurricanes3,Jets2 | RECAP | |||||||||||
2025-02-08 | @ | Hurricanes4,Wild3 (SO) | RECAP | |||||||||||
2025-02-10 | @ | Hockey Club2,Hurricanes3 (SO) | RECAP | |||||||||||
2025-02-24 | @ | Hurricanes5,Maple Leafs4 | RECAP | |||||||||||
2025-02-27 | @ | Hurricanes3,Canadiens1 | RECAP | |||||||||||
2025-03-01 | @ | Sabres2,Hurricanes5 | RECAP | |||||||||||
2025-03-03 | @ | Oilers5,Hurricanes6 | RECAP | |||||||||||
2025-03-04 | @ | Flames6,Hurricanes1 | RECAP | |||||||||||
2025-03-06 | @ | Hurricanes2,Red Wings4 | RECAP | |||||||||||
2025-03-08 | @ | Bruins2,Hurricanes7 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-11 | @ | Jets2,Hurricanes3 (SO) | RECAP | |||||||||||
2025-03-13 | @ | Lightning3,Hurricanes2 | RECAP | |||||||||||
2025-03-16 | @ | Red Wings3,Hurricanes2 | RECAP | |||||||||||
2025-03-17 | @ | Hurricanes3,Flyers1 | RECAP | |||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-04 | @ | |||||||||||||
2025-04-06 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,817,578$ | 0$ | 87,435,199$ | 182,422$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 200758 | 169521 | 67134 | 134657 | 33292 |
Attendance PCT | 95.60% | 96.87% | 95.91% | 96.18% | 95.12% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
6 | 17296 - 96.09% | 1,583,087$ | 55,408,048$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,817,578$ | 87,817,578$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
73,934,361$ | 448,049$ | 73,097,631$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
9,498,523$ | 32 | 453,151$ | 14,500,832$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
14,796,392$ | 87,817,578$ | 42,636,383$ | 37,338,514$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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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2025 | ||||||||
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Priority | Type | Description |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Alec BĂ©langer | 2020 | 211 | |||
Alex Gagne | 2021 | 203 | |||
Alexander Siryatsky | 2024 | 149 | |||
Alexander Suzdalev | 2022 | 75 | |||
Angus Booth | 2022 | 144 | |||
Anton Johansson | 2022 | 114 | |||
Arno Tiefensee | 2023 | 142 | |||
Axel Hurtig | 2023 | 206 | |||
Brody Lamb | 2021 | 117 | |||
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 | |||
Jiri Felcman | 2023 | 110 | |||
Jonathan Tychonick | |||||
Justin Bergeron | 2019 | 187 | |||
Karel Plasek | 2019 | 177 | 6.0 - 3.0 | ||
Luca Munzenberger | 2021 | 94 | |||
Matthew Gleason | 2020 | 185 | |||
Michael Callow | 2022 | 182 | |||
Nikola Pasic | 2019 | 208 | 5.0 - 5.0 | ||
Shai Buium | 2021 | 67 | |||
Simon Robertsson | 2021 | 25 | |||
Tyler Bauer | |||||
Vadim Moroz | 2023 | 106 | |||
William Nicholl | 2024 | 213 |
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