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Full Scoreboard »» |
Carolina Hurricanes 35-14-4, 74pts · 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 | 81 | 94 | 31 | 9,500,000$/3yrs | |||
![]() | 10 | LW | 99.00 | 54 | 32 | 95 | 94 | 68 | 89 | 90 | 84 | 56 | 86 | 90 | 48 | 87 | 81 | 81 | 0 | 79 | 92 | 33 | 11,642,578$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 32 | 86 | 73 | 69 | 88 | 82 | 75 | 58 | 74 | 77 | 72 | 76 | 74 | 73 | 0 | 79 | 84 | 29 | 4,500,000$/3yrs | |||
![]() | 0 | C/RW | 98.00 | 70 | 35 | 91 | 72 | 79 | 87 | 89 | 72 | 92 | 75 | 70 | 81 | 71 | 75 | 83 | 0 | 79 | 84 | 30 | 8,000,000$/6yrs | |||
![]() | 0 | LW/RW | 99.00 | 69 | 33 | 86 | 76 | 68 | 85 | 90 | 75 | 59 | 71 | 83 | 58 | 79 | 82 | 81 | 0 | 79 | 84 | 34 | 6,250,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 56 | 32 | 92 | 77 | 71 | 88 | 87 | 73 | 72 | 78 | 75 | 68 | 74 | 73 | 79 | 0 | 81 | 84 | 28 | 5,850,000$/2yrs | |||
![]() | 0 | C | 100.00 | 82 | 34 | 93 | 65 | 71 | 83 | 89 | 65 | 90 | 69 | 65 | 82 | 65 | 79 | 90 | 0 | 62 | 80 | 32 | 3,250,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 77 | 33 | 94 | 70 | 83 | 84 | 90 | 65 | 62 | 67 | 69 | 68 | 67 | 67 | 67 | 0 | 71 | 78 | 25 | 3,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 33 | 88 | 64 | 78 | 82 | 90 | 65 | 74 | 66 | 66 | 78 | 65 | 69 | 67 | 0 | 70 | 77 | 26 | 2,000,000$/1yrs | |||
![]() | 32 | LW/RW | 100.00 | 60 | 32 | 92 | 63 | 73 | 79 | 84 | 64 | 57 | 68 | 65 | 60 | 65 | 85 | 84 | 0 | 79 | 76 | 35 | 1,850,000$/2yrs | |||
![]() | 57 | RW | 100.00 | 80 | 61 | 66 | 60 | 80 | 79 | 90 | 63 | 62 | 59 | 67 | 79 | 65 | 71 | 68 | 0 | 79 | 76 | 27 | 850,000$/1yrs | |||
![]() | 0 | C | 100.00 | 98 | 64 | 52 | 59 | 92 | 76 | 90 | 63 | 80 | 62 | 64 | 66 | 63 | 68 | 63 | 0 | 81 | 74 | 25 | 835,000$/1yrs | |||
![]() | 17 | D | 97.00 | 72 | 32 | 83 | 73 | 74 | 93 | 88 | 68 | 30 | 77 | 61 | 69 | 65 | 70 | 68 | 0 | 78 | 83 | 27 | 6,000,000$/6yrs | |||
![]() | 6 | D | 100.00 | 82 | 36 | 78 | 60 | 84 | 94 | 90 | 67 | 30 | 65 | 59 | 86 | 63 | 79 | 90 | 0 | 79 | 81 | 32 | 4,975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 65 | 35 | 73 | 67 | 87 | 94 | 89 | 67 | 30 | 74 | 60 | 72 | 63 | 77 | 74 | 0 | 55 | 81 | 31 | 6,500,000$/6yrs | |||
![]() | 0 | D | 99.00 | 65 | 33 | 91 | 68 | 83 | 90 | 78 | 64 | 30 | 73 | 68 | 70 | 66 | 63 | 63 | 0 | 52 | 80 | 23 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 96 | 67 | 71 | 86 | 78 | 60 | 30 | 70 | 59 | 59 | 60 | 65 | 64 | 0 | 79 | 76 | 24 | 2,350,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 35 | 83 | 62 | 81 | 86 | 88 | 60 | 30 | 69 | 56 | 62 | 58 | 68 | 66 | 0 | 76 | 75 | 26 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.50 | 70 | 36 | 85 | 70 | 77 | 86 | 87 | 69 | 55 | 72 | 69 | 69 | 69 | 74 | 74 | 0 | 74 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 88 | 95 | 83 | 71 | 84 | 77 | 86 | 90 | 85 | 88 | 86 | 77 | 82 | 0 | 70 | 88 | 31 | 5,000,000$/2yrs |
![]() | 0 | 98.00 | 78 | 89 | 78 | 99 | 85 | 71 | 85 | 81 | 89 | 85 | 77 | 81 | 80 | 0 | 77 | 87 | 31 | 1,500,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 83 | 92 | 81 | 85 | 85 | 74 | 86 | 86 | 87 | 87 | 82 | 79 | 81 | 0 | 74 | 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 | 53 | 34 | 35 | 69 | 13 | 26 | 10 | 53 | 222 | 64 | 167 | 15.32% | 8 | 19.46 | 12 | 16 | 28 | 208 | 0 | 0 | 0 | 0 | 6 | 3 | 43.88% | 98 | 0 | 0 | 1 | 2 | 1.34 | 1 | 6 | |
2 | Elias Lindholm | 0 | C/RW | 53 | 23 | 36 | 59 | 3 | 50 | 10 | 85 | 192 | 57 | 147 | 11.98% | 35 | 21.48 | 7 | 13 | 20 | 199 | 0 | 1 | 1 | 140 | 4 | 1 | 54.96% | 1614 | 0 | 0 | 0 | 0 | 1.04 | 1 | 3 | |
3 | Artemi Panarin | 10 | LW | 53 | 22 | 27 | 49 | 8 | 6 | 0 | 30 | 199 | 53 | 152 | 11.06% | 4 | 18.81 | 8 | 16 | 24 | 209 | 0 | 0 | 0 | 5 | 4 | 2 | 46.74% | 92 | 0 | 0 | 0 | 0 | 0.98 | 0 | 6 | |
4 | Nick Schmaltz | 0 | C/LW/RW | 53 | 16 | 32 | 48 | 19 | 13 | 5 | 25 | 159 | 43 | 118 | 10.06% | 13 | 17.75 | 7 | 7 | 14 | 182 | 0 | 0 | 0 | 0 | 2 | 0 | 47.72% | 1205 | 0 | 0 | 0 | 0 | 1.02 | 1 | 1 | |
5 | Artturi Lehkonen | 0 | LW/RW | 53 | 20 | 24 | 44 | 11 | 34 | 0 | 83 | 211 | 60 | 137 | 9.48% | 14 | 19.31 | 4 | 10 | 14 | 177 | 1 | 0 | 1 | 137 | 6 | 5 | 41.56% | 77 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | |
6 | Jonathan Marchessault | 0 | LW/RW | 53 | 10 | 23 | 33 | 19 | 30 | 0 | 78 | 167 | 48 | 127 | 5.99% | 3 | 17.22 | 4 | 7 | 11 | 176 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 60 | 0 | 0 | 0 | 0 | 0.72 | 1 | 2 | |
7 | Filip Hronek | 17 | D | 53 | 7 | 25 | 32 | 7 | 40 | 0 | 82 | 80 | 28 | 30 | 8.75% | 72 | 25.00 | 4 | 11 | 15 | 209 | 0 | 1 | 1 | 147 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
8 | Hampus Lindholm | 0 | D | 52 | 5 | 20 | 25 | -2 | 46 | 0 | 74 | 68 | 22 | 55 | 7.35% | 59 | 21.83 | 2 | 9 | 11 | 185 | 0 | 0 | 0 | 101 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
9 | Jean-Gabriel Pageau | 0 | C | 48 | 6 | 13 | 19 | -3 | 16 | 0 | 60 | 85 | 24 | 62 | 7.06% | 15 | 14.61 | 1 | 2 | 3 | 56 | 0 | 0 | 0 | 98 | 1 | 1 | 52.05% | 757 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
10 | Thomas Harley | 0 | D | 46 | 5 | 13 | 18 | -3 | 4 | 0 | 16 | 58 | 19 | 37 | 8.62% | 50 | 22.26 | 3 | 5 | 8 | 162 | 0 | 1 | 1 | 144 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
11 | Juuso Valimaki | 0 | D | 53 | 1 | 16 | 17 | 14 | 43 | 5 | 69 | 19 | 6 | 10 | 5.26% | 52 | 15.65 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
12 | Brandon Duhaime | 57 | RW | 53 | 8 | 9 | 17 | -1 | 20 | 0 | 52 | 59 | 13 | 45 | 13.56% | 12 | 9.10 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 108 | 0 | 1 | 62.07% | 29 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
13 | Adam Boqvist | 0 | D | 53 | 4 | 11 | 15 | 18 | 18 | 0 | 28 | 24 | 8 | 26 | 16.67% | 35 | 15.86 | 1 | 1 | 2 | 82 | 0 | 0 | 0 | 6 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
14 | Adam Larsson | 6 | D | 53 | 4 | 9 | 13 | -3 | 73 | 15 | 117 | 47 | 18 | 25 | 8.51% | 113 | 17.94 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 146 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
15 | Eetu Luostarinen | 0 | C/LW | 50 | 7 | 6 | 13 | -2 | 12 | 0 | 32 | 80 | 28 | 60 | 8.75% | 6 | 11.28 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 72 | 1 | 0 | 47.37% | 209 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
16 | Fabian Zetterlund | 0 | C/LW/RW | 51 | 5 | 5 | 10 | -6 | 18 | 0 | 31 | 62 | 11 | 49 | 8.06% | 2 | 9.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 46.51% | 43 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
17 | Evgenii Dadonov | 32 | LW/RW | 53 | 4 | 5 | 9 | 1 | 0 | 0 | 11 | 46 | 7 | 34 | 8.70% | 5 | 9.34 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 42 | 0 | 0 | 41.18% | 51 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
18 | Mark Kastelic | 0 | C | 38 | 1 | 1 | 2 | -2 | 21 | 5 | 39 | 14 | 3 | 16 | 7.14% | 4 | 5.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.02% | 215 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
Team Total or Average | 921 | 182 | 310 | 492 | 91 | 470 | 50 | 965 | 1792 | 512 | 1297 | 10.16% | 502 | 16.40 | 53 | 97 | 150 | 1903 | 2 | 3 | 5 | 1189 | 34 | 16 | 51.15% | 4450 | 0 | 0 | 1 | 2 | 0.65 | 4 | 18 |
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 | 32 | 21 | 8 | 1 | 0.919 | 2.49 | 1786 | 2 | 1 | 74 | 915 | 0 | 0 | 1 | 0.714 | 7 | 30 | 21 | 1 | 3 | 1 | |
2 | Jordan Binnington | 22 | 12 | 7 | 1 | 0.914 | 2.79 | 1204 | 0 | 0 | 56 | 651 | 0 | 1 | 1 | 0.800 | 5 | 19 | 32 | 2 | 1 | 1 | |
Team Total or Average | 54 | 33 | 15 | 2 | 0.917 | 2.61 | 2990 | 2 | 1 | 130 | 1566 | 0 | 1 | 2 | 0.750 | 12 | 49 | 53 | 3 | 4 | 2 |
Projected Total Cap Hit | 87,440,731$ |
Projected Cap Space | 559,269$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 53,823,706$ |
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 Boqvist ![]() | D | 24 | 2,350,000$ | 2,350,000$ | RFA | ||||||
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 | 35 | 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 | |||
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 | |||||
Juuso Valimaki ![]() | D | 26 | 1,000,000$ | 1,000,000$ | |||||||
Mark Kastelic ![]() | C | 25 | 835,000$ | 835,000$ | |||||||
Nick Schmaltz ![]() | C/LW/RW | 28 | 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 | ||||
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 | 24 | 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 | 25 | 0$ | ![]() | |||||||
Jett Woo ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Jordan Bellerive ![]() | C | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
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 | ||||||
Matthew Kessel ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Niclas Almari ![]() | D | 26 | 0$ | ![]() | |||||||
Noah Juulsen ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Nolan Allan ![]() | D | 21 | 847,500$ | 847,500$ | RFA | ||||||
Owen Pederson ![]() | C/LW | 22 | 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 | ||||||
Zack Ostapchuk ![]() | C | 21 | 825,000$ | 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 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 0 | 4 | 0 | 30 | 11 | 7 | 12 | 0 | 35 | 13 | 2 | 16 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 22 | 15 | 25 | 6 | 12 | 5 | 50.0% | 13.3% | 91.4% | 104.8 | LUCKY | |
2 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 74 | 22 | 23 | 29 | 0 | 68 | 19 | 31 | 41 | 12 | 2 | 16.67% | 8 | 1 | 87.50% | 0 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 47 | 31 | 48 | 15 | 25 | 12 | 30.0% | 6.8% | 88.2% | 95.0 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 78 | 57 | 69 | 22 | 37 | 18 | 50.0% | 9.1% | 90.1% | 99.2 | FUN | |
8 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 51 | 36 | 48 | 14 | 24 | 13 | 53.8% | 12.2% | 91.8% | 104.0 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 28 | 15 | 7 | 6 | 0 | 31 | 10 | 8 | 24 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 24 | 17 | 22 | 6 | 12 | 6 | 62.5% | 17.9% | 90.3% | 108.2 | FUN | |
10 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 53 | 38 | 41 | 14 | 25 | 13 | 50.0% | 3.8% | 92.3% | 96.2 | DULL | |
11 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 21 | 14 | 25 | 7 | 12 | 6 | 75.0% | 8.6% | 94.1% | 102.7 | DULL | |
12 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 25 | 18 | 22 | 7 | 12 | 6 | 80.0% | 14.6% | 96.7% | 111.3 | LUCKY | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 0 | 0.000 | 7 | 14 | 21 | 1 | 0 | 3 | 2 | 2 | 0 | 84 | 29 | 30 | 25 | 0 | 63 | 21 | 26 | 39 | 7 | 2 | 28.57% | 12 | 2 | 83.33% | 0 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 46 | 32 | 49 | 14 | 24 | 11 | 41.7% | 8.3% | 85.7% | 94.0 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 33 | 10 | 12 | 11 | 0 | 22 | 11 | 4 | 20 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 24 | 16 | 23 | 8 | 12 | 6 | 50.0% | 12.1% | 86.4% | 98.5 | FUN | |
15 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 46 | 32 | 48 | 15 | 24 | 11 | 71.4% | 11.7% | 96.4% | 108.0 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 24 | 11 | 4 | 9 | 0 | 24 | 8 | 8 | 16 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 20 | 13 | 25 | 8 | 14 | 7 | 28.6% | 12.5% | 79.2% | 91.7 | FUN | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 41 | 13 | 11 | 17 | 0 | 33 | 10 | 2 | 15 | 5 | 2 | 40.00% | 1 | 0 | 100.00% | 0 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 26 | 19 | 21 | 5 | 11 | 6 | 66.7% | 9.8% | 97.0% | 106.7 | LUCKY | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 35 | 12 | 6 | 15 | 5 | 43 | 13 | 12 | 17 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 24 | 16 | 28 | 8 | 12 | 6 | 50.0% | 11.4% | 88.4% | 99.8 | FUN | |
19 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 51 | 38 | 43 | 14 | 24 | 12 | 66.7% | 8.7% | 94.8% | 103.5 | DULL | |
20 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 72 | 52 | 74 | 23 | 37 | 18 | 46.7% | 13.0% | 91.7% | 104.7 | LUCKY | |
21 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 96 | 66 | 96 | 28 | 47 | 23 | 38.9% | 7.0% | 89.0% | 95.9 | Unlucky | |
22 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 24 | 17 | 22 | 6 | 12 | 6 | 50.0% | 12.5% | 91.3% | 103.8 | LUCKY | |
23 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 49 | 35 | 45 | 14 | 24 | 12 | 66.7% | 11.9% | 91.7% | 103.6 | LUCKY | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 35 | 6 | 12 | 17 | 0 | 40 | 10 | 10 | 16 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 24 | 16 | 23 | 7 | 11 | 6 | 60.0% | 11.4% | 92.5% | 103.9 | LUCKY | |
25 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 75 | 52 | 66 | 21 | 37 | 19 | 46.2% | 8.3% | 92.0% | 100.3 | DULL | |
26 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 24 | 17 | 23 | 7 | 11 | 6 | 60.0% | 7.5% | 84.0% | 91.5 | Unlucky | |
27 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 47 | 33 | 48 | 13 | 24 | 13 | 60.0% | 11.4% | 88.6% | 100.1 | FUN | |
28 | 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 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 50 | 36 | 44 | 13 | 24 | 12 | 77.8% | 10.4% | 93.9% | 104.3 | LUCKY | |
_Vs Division | 21 | 8 | 8 | 0 | 0 | 1 | 2 | 2 | 69 | 65 | 4 | 23 | 0.548 | 69 | 119 | 188 | 2 | 0 | 30 | 22 | 15 | 2 | 773 | 237 | 256 | 272 | 21 | 712 | 216 | 182 | 405 | 103 | 21 | 20.39% | 74 | 16 | 78.38% | 1 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 518 | 363 | 502 | 153 | 260 | 131 | 49.5% | 8.9% | 90.9% | 99.8 | Unlucky | |
_Vs Conference | 31 | 13 | 11 | 0 | 0 | 1 | 3 | 3 | 107 | 95 | 12 | 36 | 0.581 | 107 | 187 | 294 | 3 | 0 | 47 | 30 | 27 | 4 | 1114 | 330 | 369 | 403 | 33 | 1074 | 327 | 288 | 570 | 144 | 35 | 24.31% | 119 | 23 | 80.67% | 1 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 755 | 530 | 753 | 227 | 382 | 192 | 50.0% | 9.6% | 91.2% | 100.8 | LUCKY | |
_Since Last GM Reset | 53 | 32 | 14 | 0 | 0 | 1 | 3 | 3 | 184 | 143 | 41 | 74 | 0.698 | 184 | 323 | 507 | 3 | 1 | 75 | 56 | 50 | 4 | 1849 | 577 | 620 | 640 | 33 | 1663 | 531 | 474 | 993 | 236 | 53 | 22.46% | 188 | 34 | 81.91% | 2 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 1291 | 908 | 1263 | 386 | 656 | 331 | 54.6% | 10.0% | 91.4% | 101.4 | LUCKY | |
Total | 53 | 32 | 14 | 0 | 0 | 1 | 3 | 3 | 184 | 143 | 41 | 74 | 0.698 | 184 | 323 | 507 | 3 | 1 | 75 | 56 | 50 | 4 | 1849 | 577 | 620 | 640 | 33 | 1663 | 531 | 474 | 993 | 236 | 53 | 22.46% | 188 | 34 | 81.91% | 2 | 1015 | 1971 | 51.50% | 989 | 1889 | 52.36% | 416 | 798 | 52.13% | 1291 | 908 | 1263 | 386 | 656 | 331 | 54.6% | 10.0% | 91.4% | 101.4 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1971 |
Neutral Zone Start | 798 |
Defensive Zone Start | 1889 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2420 |
Faceoffs Lost | 2238 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 22.6 | 20.31 |
3rd Period | 34.7 | 30.68 |
Overtime | 35.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 126 |
---|---|
PP Goal | 53 |
PK Goal | 2 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 18 | 17 |
Lost | 8 | 6 |
Overtime Lost | 1 | 3 |
PP Attempt | 236 |
---|---|
PP Goal | 53 |
PK Attempt | 188 |
PK Goal Against | 34 |
Home | |
---|---|
Shots For | 34.9 |
Shots Against | 31.4 |
Goals For | 3.5 |
Goals Against | 2.7 |
Hits | 18.7 |
Shots Blocked | 10.0 |
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 | @ | |||||||||||||
2025-02-08 | @ | |||||||||||||
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2025-02-24 | @ | |||||||||||||
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2025-03-06 | @ | |||||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2025-03-13 | @ | |||||||||||||
2025-03-16 | @ | |||||||||||||
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2025-03-22 | @ | |||||||||||||
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2025-04-19 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,852,578$ | 0$ | 87,440,731$ | 147,422$ |
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 | 153804 | 130090 | 51832 | 103735 | 25407 |
Attendance PCT | 94.94% | 96.36% | 95.99% | 96.05% | 94.10% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 17217 - 95.65% | 1,573,226$ | 42,477,104$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,852,578$ | 87,852,578$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
54,441,050$ | 448,227$ | 53,823,706$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
22,025,165$ | 75 | 453,329$ | 33,999,675$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,993,426$ | 87,852,578$ | 49,893,813$ | 36,925,552$ |
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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 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
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 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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