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Full Scoreboard »» |
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Full Scoreboard »» |
Carolina Hurricanes 29-29-9, 67pts · 11th 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 | 97.00 | 67 | 32 | 81 | 99 | 70 | 89 | 82 | 88 | 65 | 95 | 87 | 63 | 87 | 76 | 74 | 0 | 39 | 96 | 29 | 9,500,000$/5yrs | |||
![]() | 10 | LW | 99.00 | 58 | 32 | 90 | 85 | 68 | 88 | 89 | 82 | 57 | 94 | 77 | 61 | 79 | 78 | 85 | 0 | 39 | 91 | 31 | 11,642,578$/4yrs | |||
![]() | 80 | C/LW/RW | 97.00 | 68 | 33 | 70 | 87 | 81 | 85 | 90 | 86 | 83 | 85 | 86 | 70 | 86 | 67 | 64 | 0 | 39 | 91 | 24 | 7,250,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 34 | 86 | 79 | 68 | 84 | 89 | 79 | 60 | 80 | 83 | 62 | 81 | 80 | 78 | 0 | 30 | 87 | 32 | 5,000,000$/2yrs | |||
![]() | 25 | C/LW | 99.00 | 59 | 32 | 77 | 80 | 73 | 83 | 90 | 80 | 59 | 76 | 88 | 63 | 84 | 71 | 69 | 0 | 39 | 87 | 27 | 4,166,667$/3yrs | |||
![]() | 92 | LW/RW | 100.00 | 77 | 32 | 89 | 72 | 70 | 79 | 82 | 68 | 59 | 69 | 71 | 76 | 70 | 68 | 67 | 0 | 39 | 81 | 25 | 1,550,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 56 | 32 | 90 | 76 | 73 | 76 | 81 | 72 | 65 | 77 | 74 | 62 | 73 | 63 | 62 | 0 | 38 | 81 | 22 | 925,000$/2yrs | |||
![]() | 11 | RW | 100.00 | 69 | 33 | 91 | 73 | 80 | 81 | 90 | 69 | 62 | 65 | 78 | 66 | 73 | 67 | 66 | 0 | 39 | 80 | 25 | 1,000,000$/2yrs | |||
![]() | 91 | LW/RW | 100.00 | 85 | 33 | 88 | 72 | 76 | 73 | 90 | 65 | 59 | 65 | 71 | 68 | 68 | 67 | 66 | 0 | 39 | 78 | 25 | 1,000,000$/1yrs | |||
![]() | 57 | RW | 100.00 | 89 | 66 | 55 | 65 | 80 | 71 | 75 | 70 | 55 | 62 | 77 | 68 | 73 | 68 | 63 | 0 | 58 | 78 | 25 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 89 | 65 | 68 | 62 | 84 | 71 | 75 | 62 | 83 | 61 | 66 | 75 | 64 | 65 | 61 | 0 | 40 | 76 | 23 | 821,667$/1yrs | |||
![]() | 14 | LW | 100.00 | 86 | 40 | 75 | 61 | 82 | 71 | 82 | 62 | 59 | 63 | 61 | 68 | 61 | 66 | 63 | 0 | 35 | 75 | 24 | 800,000$/2yrs | |||
![]() | 6 | D | 98.00 | 86 | 38 | 75 | 66 | 84 | 93 | 90 | 73 | 30 | 72 | 67 | 94 | 70 | 76 | 85 | 0 | 45 | 88 | 30 | 4,975,000$/5yrs | |||
![]() | 17 | D | 97.00 | 76 | 32 | 76 | 80 | 74 | 91 | 90 | 73 | 30 | 83 | 75 | 73 | 74 | 68 | 65 | 0 | 39 | 88 | 25 | 4,800,000$/2yrs | |||
![]() | 23 | D | 99.00 | 75 | 33 | 80 | 69 | 80 | 92 | 90 | 70 | 30 | 76 | 62 | 76 | 66 | 78 | 93 | 0 | 40 | 85 | 31 | 8,250,000$/4yrs | |||
![]() | 67 | D | 99.00 | 64 | 33 | 95 | 75 | 80 | 80 | 75 | 68 | 30 | 84 | 63 | 61 | 66 | 66 | 65 | 0 | 35 | 84 | 24 | 850,000$/1yrs | |||
![]() | 26 | D | 100.00 | 64 | 33 | 80 | 64 | 81 | 81 | 73 | 63 | 30 | 71 | 62 | 67 | 62 | 65 | 63 | 0 | 25 | 77 | 24 | 2,500,000$/2yrs | |||
![]() | 28 | D | 100.00 | 71 | 33 | 87 | 62 | 75 | 81 | 82 | 63 | 30 | 68 | 55 | 72 | 59 | 65 | 64 | 0 | 21 | 77 | 24 | 825,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 75 | 32 | 95 | 62 | 70 | 75 | 79 | 64 | 55 | 69 | 62 | 73 | 63 | 71 | 70 | 0 | 26 | 77 | 27 | 850,000$/2yrs | |||
TEAM AVERAGE | 99.21 | 73 | 37 | 81 | 73 | 76 | 81 | 84 | 71 | 53 | 74 | 72 | 69 | 72 | 70 | 70 | 0 | 37 | 83 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 33 | 97.00 | 87 | 95 | 81 | 91 | 93 | 91 | 93 | 93 | 93 | 93 | 93 | 66 | 71 | 0 | 26 | 93 | 24 | 5,000,000$/3yrs |
![]() | 0 | 98.00 | 78 | 80 | 74 | 78 | 86 | 86 | 85 | 88 | 87 | 89 | 85 | 82 | 86 | 0 | 39 | 87 | 33 | 2,000,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 97.50 | 83 | 88 | 78 | 85 | 90 | 89 | 89 | 91 | 90 | 91 | 89 | 74 | 79 | 0 | 33 | 90 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jim Montgomery | 83 | 97 | 99 | 74 | 77 | 72 | 97 | CAN | 55 | 3 | 1,000,000$ |
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 | 32 | 30 | 62 | 9 | 22 | 0 | 61 | 298 | 76 | 191 | 10.74% | 9 | 20.10 | 5 | 8 | 13 | 226 | 0 | 0 | 0 | 18 | 6 | 2 | 39.23% | 130 | 0 | 0 | 0 | 0 | 0.92 | 1 | 6 | |
2 | Artemi Panarin | 10 | LW | 67 | 19 | 30 | 49 | 0 | 8 | 0 | 40 | 171 | 52 | 118 | 11.11% | 7 | 20.52 | 3 | 9 | 12 | 227 | 0 | 0 | 0 | 52 | 4 | 3 | 36.23% | 138 | 0 | 0 | 0 | 0 | 0.71 | 0 | 5 | |
3 | Filip Hronek | 17 | D | 67 | 10 | 32 | 42 | -1 | 52 | 0 | 94 | 111 | 38 | 73 | 9.01% | 58 | 22.95 | 4 | 9 | 13 | 223 | 0 | 1 | 1 | 73 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
4 | Pierre-Luc Dubois | 80 | C/LW/RW | 67 | 17 | 25 | 42 | -3 | 60 | 0 | 165 | 210 | 40 | 122 | 8.10% | 3 | 19.82 | 6 | 6 | 12 | 226 | 0 | 0 | 0 | 18 | 2 | 2 | 51.37% | 1680 | 0 | 0 | 0 | 0 | 0.63 | 1 | 3 | |
5 | Carter Verhaeghe | 25 | C/LW | 67 | 20 | 18 | 38 | 2 | 12 | 0 | 68 | 192 | 58 | 135 | 10.42% | 6 | 19.05 | 4 | 5 | 9 | 184 | 0 | 0 | 0 | 61 | 3 | 1 | 41.46% | 1025 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 | |
6 | Oliver Ekman-Larsson | 23 | D | 67 | 5 | 31 | 36 | 14 | 33 | 5 | 113 | 59 | 21 | 45 | 8.47% | 91 | 22.91 | 4 | 9 | 13 | 216 | 0 | 0 | 0 | 199 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
7 | Adam Larsson | 6 | D | 67 | 4 | 23 | 27 | -3 | 74 | 10 | 156 | 59 | 23 | 52 | 6.78% | 125 | 20.74 | 1 | 3 | 4 | 83 | 0 | 0 | 0 | 205 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.39 | 0 | 0 | |
8 | Jonathan Marchessault | 0 | LW/RW | 52 | 12 | 12 | 24 | 2 | 20 | 0 | 58 | 130 | 49 | 76 | 9.23% | 6 | 17.28 | 3 | 3 | 6 | 131 | 0 | 0 | 0 | 0 | 3 | 0 | 42.86% | 70 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
9 | Rudolfs Balcers | 92 | LW/RW | 67 | 9 | 12 | 21 | 1 | 24 | 0 | 88 | 96 | 34 | 92 | 9.38% | 13 | 13.84 | 3 | 3 | 6 | 79 | 1 | 0 | 1 | 138 | 2 | 1 | 37.88% | 66 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
10 | Jonatan Berggren | 0 | C/RW | 45 | 5 | 12 | 17 | -1 | 2 | 0 | 15 | 56 | 22 | 32 | 8.93% | 3 | 14.53 | 0 | 4 | 4 | 118 | 0 | 0 | 0 | 0 | 1 | 0 | 39.04% | 502 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
11 | Taylor Raddysh | 11 | RW | 67 | 5 | 9 | 14 | -4 | 38 | 0 | 62 | 94 | 24 | 76 | 5.32% | 4 | 12.30 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 31.58% | 57 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
12 | Carl Grundstrom | 91 | LW/RW | 67 | 3 | 7 | 10 | 6 | 20 | 0 | 58 | 52 | 21 | 44 | 5.77% | 3 | 10.70 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 137 | 0 | 0 | 31.91% | 47 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
13 | Gustav Lindstrom | 28 | D | 48 | 2 | 7 | 9 | -4 | 12 | 0 | 38 | 10 | 8 | 14 | 20.00% | 37 | 13.87 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 38 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
14 | Conor Timmins | 67 | D | 23 | 0 | 6 | 6 | 6 | 0 | 0 | 7 | 13 | 7 | 6 | 0.00% | 11 | 17.97 | 0 | 1 | 1 | 66 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
15 | Mark Kastelic | 0 | C | 67 | 3 | 2 | 5 | -9 | 27 | 5 | 67 | 51 | 12 | 33 | 5.88% | 10 | 9.13 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 189 | 0 | 0 | 51.03% | 776 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
16 | Juuso Valimaki | 26 | D | 24 | 1 | 3 | 4 | 0 | 20 | 0 | 17 | 6 | 4 | 8 | 16.67% | 19 | 13.73 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
17 | Karson Kuhlman | 0 | C/RW | 28 | 2 | 1 | 3 | -1 | 4 | 0 | 6 | 20 | 9 | 8 | 10.00% | 1 | 9.83 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 75 | 1 | 1 | 44.74% | 190 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
18 | Brandon Duhaime | 57 | RW | 13 | 2 | 1 | 3 | 0 | 0 | 0 | 10 | 12 | 3 | 8 | 16.67% | 0 | 6.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 1 | 54.55% | 11 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
19 | Boris Katchouk | 14 | LW | 63 | 2 | 0 | 2 | -13 | 18 | 0 | 30 | 35 | 9 | 12 | 5.71% | 5 | 5.81 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 52.63% | 19 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
Team Total or Average | 1033 | 153 | 261 | 414 | 1 | 446 | 20 | 1153 | 1675 | 510 | 1145 | 9.13% | 411 | 16.03 | 33 | 61 | 94 | 1804 | 1 | 1 | 2 | 1261 | 29 | 14 | 46.06% | 4711 | 0 | 0 | 1 | 0 | 0.50 | 2 | 15 |
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 | Jake Oettinger | 44 | 18 | 18 | 7 | 0.915 | 2.50 | 2595 | 2 | 0 | 108 | 1264 | 0 | 0 | 0 | 0.583 | 12 | 44 | 16 | 5 | 5 | 1 | |
2 | Antti Raanta | 25 | 11 | 11 | 2 | 0.908 | 2.63 | 1458 | 0 | 0 | 64 | 696 | 0 | 1 | 1 | 0.200 | 5 | 23 | 44 | 1 | 1 | 0 | |
Team Total or Average | 69 | 29 | 29 | 9 | 0.912 | 2.55 | 4053 | 2 | 0 | 172 | 1960 | 0 | 1 | 1 | 0.471 | 17 | 67 | 60 | 6 | 6 | 1 |
Projected Total Cap Hit | 73,819,967$ |
Projected Cap Space | 8,680,033$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 64,897,682$ |
Players In Salary Cap | 18 |
LTIR Players | 4 |
Hurricanes Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Larsson | D | 30 | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | UFA | ||
Antti Raanta ![]() | G | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Artemi Panarin | LW | 31 | 11,642,578$ | 11,642,578$ | 11,642,578$ | 11,642,578$ | 11,642,578$ | UFA | |||
Boris Katchouk ![]() | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Brandon Duhaime ![]() | RW | 25 | 750,000$ | 750,000$ | |||||||
Carl Grundstrom ![]() | LW/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Carter Verhaeghe | C/LW | 27 | 4,166,667$ | 4,166,667$ | 4,166,667$ | 4,166,667$ | UFA | ||||
Conor Timmins ![]() | D | 24 | 850,000$ | 850,000$ | RFA | ||||||
Filip Hronek | D | 25 | 4,800,000$ | 4,800,000$ | 4,800,000$ | ||||||
Gustav Lindstrom ![]() | D | 24 | 825,000$ | 825,000$ | RFA | ||||||
Jake Oettinger ![]() | G | 24 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Jonatan Berggren ![]() | C/RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jonathan Marchessault ![]() | LW/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Juuso Valimaki | D | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Karson Kuhlman ![]() | C/RW | 27 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Mark Kastelic ![]() | C | 23 | 821,667$ | 821,667$ | RFA | ||||||
Nikita Kucherov | RW | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Oliver Ekman-Larsson | D | 31 | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA | |||
Pierre-Luc Dubois | C/LW/RW | 24 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | ||
Rudolfs Balcers | LW/RW | 25 | 1,550,000$ | 1,550,000$ | |||||||
Taylor Raddysh ![]() | RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Raska ![]() | RW | 21 | 750,000$ | 750,000$ | RFA | ||||||
Antoine Bibeau ![]() | G | 28 | 750,000$ | 750,000$ | UFA | ||||||
Artemi Knyazev ![]() | D | 22 | 750,000$ | 750,000$ | RFA | ||||||
Cale Fleury ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Callum Booth ![]() ![]() | G | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Damien Giroux ![]() | C | 23 | 818,333$ | 818,333$ | RFA | ||||||
David Farrance ![]() | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Denis Malgin ![]() | C/LW/RW | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Dylan Gambrell ![]() | C | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ![]() | |||||
Emil Johansson ![]() | D | 26 | 0$ | ![]() | |||||||
Evan Polei ![]() | LW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Filip Kral ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Helge Grans ![]() | D | 20 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Jan Drozg ![]() | RW | 23 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Jett Woo ![]() | D | 22 | 860,833$ | 860,833$ | RFA | ||||||
Jordan Bellerive ![]() ![]() | C | 23 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Keaton Middleton ![]() ![]() | D | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Matt Kessel ![]() | D | 22 | 750,000$ | 750,000$ | RFA | ||||||
Matthew Highmore ![]() ![]() | C | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Noah Juulsen ![]() | D | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Pavel Dorofeyev ![]() ![]() | LW/RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Sampo Ranta ![]() | LW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Sebastian Repo ![]() | C/RW | 26 | 0$ | ![]() | |||||||
Shane Gersich ![]() ![]() | LW | 26 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Spencer Martin ![]() ![]() | G | 27 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Steven Lorentz ![]() ![]() | C/LW | 26 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Tim Gettinger ![]() | LW | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Tobias Geisser ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Tyson Foerster ![]() | C | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Zachary Gallant ![]() | C | 24 | 800,000$ | 800,000$ | 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 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 4 | 1 | 4 | 0 | 64 | 23 | 16 | 25 | 0 | 49 | 11 | 16 | 37 | 9 | 4 | 44.44% | 6 | 2 | 66.67% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 49 | 33 | 45 | 13 | 25 | 12 | 62.5% | 14.1% | 89.8% | 103.9 | FUN | |
2 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 6 | 2 | 0 | 1 | 89 | 35 | 28 | 25 | 1 | 99 | 26 | 12 | 67 | 11 | 3 | 27.27% | 6 | 1 | 83.33% | 1 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 70 | 50 | 73 | 22 | 35 | 17 | 46.2% | 10.1% | 91.9% | 102.0 | LUCKY | |
3 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 9 | 1 | 5 | 0.625 | 10 | 19 | 29 | 0 | 0 | 1 | 4 | 5 | 0 | 115 | 35 | 38 | 38 | 8 | 130 | 30 | 26 | 84 | 13 | 3 | 23.08% | 13 | 1 | 92.31% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 95 | 65 | 99 | 27 | 49 | 25 | 46.7% | 8.7% | 93.1% | 101.8 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 30 | 11 | 12 | 7 | 0 | 38 | 6 | 4 | 14 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 22 | 15 | 23 | 7 | 13 | 6 | 28.6% | 6.7% | 84.2% | 90.9 | Unlucky | |
5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 80 | 21 | 25 | 34 | 0 | 90 | 29 | 24 | 62 | 9 | 1 | 11.11% | 11 | 3 | 72.73% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 63 | 41 | 78 | 22 | 37 | 17 | 55.6% | 7.5% | 92.2% | 99.7 | DULL | |
6 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 1 | 1 | 38 | 22 | 5 | 10 | 1 | 46 | 17 | 20 | 50 | 6 | 1 | 16.67% | 9 | 0 | 100.00% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 43 | 28 | 51 | 15 | 25 | 12 | 60.0% | 10.5% | 95.7% | 106.2 | LUCKY | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 0 | 1 | 8 | 0 | 51 | 11 | 14 | 26 | 0 | 36 | 21 | 12 | 24 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 51 | 36 | 44 | 13 | 24 | 12 | 75.0% | 17.6% | 91.7% | 109.3 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 7 | 11 | 10 | 0 | 28 | 11 | 8 | 18 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 1 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 19 | 12 | 26 | 7 | 13 | 7 | 66.7% | 10.7% | 96.4% | 107.1 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 42 | 11 | 13 | 18 | 0 | 48 | 7 | 19 | 45 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 41 | 27 | 52 | 15 | 26 | 12 | 57.1% | 9.5% | 91.7% | 101.2 | LUCKY | |
10 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.500 | 7 | 14 | 21 | 0 | 0 | 4 | 1 | 2 | 0 | 92 | 30 | 29 | 32 | 4 | 84 | 24 | 30 | 57 | 8 | 2 | 25.00% | 14 | 3 | 78.57% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 72 | 50 | 72 | 22 | 39 | 20 | 55.6% | 7.6% | 91.7% | 99.3 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 81 | 20 | 23 | 38 | 0 | 53 | 9 | 8 | 56 | 13 | 2 | 15.38% | 3 | 0 | 100.00% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 50 | 36 | 47 | 14 | 24 | 12 | 42.9% | 6.2% | 92.5% | 98.6 | DULL | |
12 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 12 | 18 | 1 | 0 | 1 | 2 | 3 | 0 | 60 | 19 | 15 | 26 | 0 | 79 | 13 | 20 | 49 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 43 | 28 | 51 | 14 | 25 | 12 | 38.5% | 10.0% | 88.6% | 98.6 | FUN | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 3 | 2 | 1 | 0 | 46 | 18 | 15 | 13 | 0 | 55 | 30 | 12 | 55 | 6 | 2 | 33.33% | 6 | 3 | 50.00% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 41 | 26 | 54 | 15 | 24 | 12 | 57.1% | 13.0% | 89.1% | 102.1 | FUN | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 6 | 12 | 7 | 0 | 32 | 8 | 8 | 31 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 21 | 13 | 24 | 7 | 13 | 6 | 0.0% | 0.0% | 96.9% | 96.9 | DULL | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 65 | 17 | 25 | 23 | 0 | 43 | 14 | 15 | 39 | 11 | 1 | 9.09% | 5 | 1 | 80.00% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 51 | 36 | 44 | 15 | 23 | 12 | 71.4% | 9.2% | 93.0% | 102.3 | LUCKY | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 48 | 14 | 23 | 11 | 0 | 51 | 8 | 14 | 38 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 42 | 28 | 51 | 15 | 25 | 12 | 71.4% | 12.5% | 94.1% | 106.6 | LUCKY | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 48 | 16 | 19 | 13 | 0 | 48 | 17 | 28 | 45 | 6 | 0 | 0.00% | 14 | 1 | 92.86% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 46 | 31 | 49 | 15 | 23 | 11 | 25.0% | 4.2% | 85.4% | 89.6 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 55 | 21 | 15 | 19 | 0 | 79 | 15 | 14 | 55 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 42 | 28 | 53 | 14 | 24 | 11 | 28.6% | 3.6% | 92.4% | 96.0 | DULL | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 55 | 23 | 9 | 23 | 0 | 68 | 27 | 24 | 57 | 4 | 1 | 25.00% | 11 | 3 | 72.73% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 38 | 25 | 55 | 14 | 25 | 12 | 33.3% | 7.3% | 86.8% | 94.0 | Unlucky | |
20 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 0 | 5 | 2 | 0 | 63 | 13 | 24 | 26 | 0 | 52 | 14 | 16 | 35 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 48 | 35 | 46 | 14 | 24 | 11 | 71.4% | 11.1% | 94.2% | 105.3 | LUCKY | |
21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 67 | 17 | 28 | 22 | 0 | 61 | 19 | 18 | 47 | 10 | 1 | 10.00% | 8 | 3 | 62.50% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 45 | 31 | 49 | 14 | 24 | 11 | 25.0% | 4.5% | 85.2% | 89.7 | Unlucky | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 46 | 18 | 15 | 13 | 0 | 54 | 24 | 22 | 46 | 6 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 41 | 26 | 53 | 15 | 24 | 12 | 33.3% | 4.3% | 90.7% | 95.1 | Unlucky | |
23 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 0 | 0.000 | 8 | 14 | 22 | 0 | 0 | 2 | 1 | 5 | 0 | 78 | 24 | 28 | 26 | 0 | 82 | 22 | 28 | 76 | 11 | 0 | 0.00% | 14 | 5 | 64.29% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 66 | 44 | 74 | 23 | 39 | 18 | 53.3% | 10.3% | 85.4% | 95.6 | FUN | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 64 | 21 | 21 | 22 | 0 | 58 | 18 | 4 | 44 | 11 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 51 | 37 | 46 | 14 | 22 | 12 | 50.0% | 4.7% | 94.8% | 99.5 | DULL | |
25 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 48 | 20 | 11 | 12 | 5 | 64 | 25 | 18 | 36 | 5 | 1 | 20.00% | 9 | 2 | 77.78% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 45 | 30 | 52 | 15 | 26 | 12 | 42.9% | 8.3% | 90.6% | 99.0 | Unlucky | |
26 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 1 | 75 | 25 | 23 | 25 | 5 | 58 | 15 | 14 | 49 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 50 | 35 | 47 | 15 | 27 | 14 | 54.5% | 9.3% | 91.4% | 100.7 | LUCKY | |
27 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 1 | 46 | 9 | 21 | 11 | 10 | 60 | 18 | 16 | 27 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 51 | 36 | 51 | 16 | 26 | 12 | 42.9% | 6.5% | 91.7% | 98.2 | DULL | |
28 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 10 | -1 | 5 | 0.625 | 9 | 17 | 26 | 0 | 0 | 3 | 5 | 1 | 0 | 96 | 33 | 31 | 29 | 3 | 135 | 42 | 58 | 82 | 19 | 5 | 26.32% | 22 | 1 | 95.45% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 83 | 55 | 109 | 30 | 49 | 23 | 30.8% | 9.4% | 92.6% | 102.0 | LUCKY | |
29 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 2 | 3 | 1 | 1 | 60 | 16 | 15 | 25 | 7 | 65 | 14 | 20 | 35 | 10 | 4 | 40.00% | 9 | 1 | 88.89% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 53 | 37 | 47 | 15 | 24 | 12 | 33.3% | 11.7% | 89.2% | 100.9 | FUN | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 60 | 20 | 21 | 19 | 0 | 54 | 13 | 24 | 41 | 8 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 49 | 34 | 46 | 15 | 24 | 12 | 63.6% | 11.7% | 88.9% | 100.6 | FUN | |
31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 3 | 0 | 66 | 15 | 27 | 24 | 0 | 62 | 15 | 14 | 41 | 4 | 1 | 25.00% | 7 | 3 | 57.14% | 1 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 42 | 28 | 52 | 15 | 25 | 11 | 50.0% | 9.1% | 87.1% | 96.2 | FUN | |
_Vs Division | 22 | 9 | 9 | 0 | 1 | 1 | 0 | 2 | 58 | 56 | 2 | 23 | 0.523 | 58 | 106 | 164 | 0 | 0 | 18 | 15 | 24 | 1 | 601 | 189 | 193 | 210 | 16 | 656 | 194 | 190 | 452 | 74 | 14 | 18.92% | 85 | 14 | 83.53% | 2 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 504 | 345 | 553 | 162 | 274 | 135 | 51.2% | 9.7% | 91.5% | 101.1 | LUCKY | |
_Vs Conference | 36 | 15 | 15 | 0 | 1 | 1 | 0 | 4 | 89 | 92 | -3 | 37 | 0.514 | 89 | 161 | 250 | 0 | 0 | 27 | 31 | 30 | 2 | 976 | 298 | 323 | 341 | 26 | 1047 | 315 | 314 | 733 | 120 | 19 | 15.83% | 138 | 23 | 83.33% | 3 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 820 | 561 | 908 | 271 | 454 | 223 | 50.4% | 9.1% | 91.2% | 100.3 | LUCKY | |
_Since Last GM Reset | 67 | 25 | 29 | 0 | 4 | 3 | 0 | 6 | 166 | 179 | -13 | 67 | 0.500 | 166 | 301 | 467 | 1 | 0 | 55 | 54 | 53 | 6 | 1881 | 591 | 612 | 652 | 44 | 1961 | 562 | 566 | 1442 | 240 | 38 | 15.83% | 254 | 43 | 83.07% | 4 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 1538 | 1053 | 1677 | 504 | 843 | 416 | 48.5% | 8.8% | 90.9% | 99.7 | Unlucky | |
Total | 67 | 25 | 29 | 0 | 4 | 3 | 0 | 6 | 166 | 179 | -13 | 67 | 0.500 | 166 | 301 | 467 | 1 | 0 | 55 | 54 | 53 | 6 | 1881 | 591 | 612 | 652 | 44 | 1961 | 562 | 566 | 1442 | 240 | 38 | 15.83% | 254 | 43 | 83.07% | 4 | 1018 | 2239 | 45.47% | 1087 | 2374 | 45.79% | 468 | 977 | 47.90% | 1538 | 1053 | 1677 | 504 | 843 | 416 | 48.5% | 8.8% | 90.9% | 99.7 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 2239 |
Neutral Zone Start | 977 |
Defensive Zone Start | 2374 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2573 |
Faceoffs Lost | 3017 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.8 | 9.57 |
2nd Period | 18.0 | 20.31 |
3rd Period | 27.7 | 30.68 |
Overtime | 28.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 123 |
---|---|
PP Goal | 38 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 12 | 17 |
Lost | 15 | 14 |
Overtime Lost | 7 | 2 |
PP Attempt | 240 |
---|---|
PP Goal | 38 |
PK Attempt | 254 |
PK Goal Against | 43 |
Home | |
---|---|
Shots For | 28.1 |
Shots Against | 29.3 |
Goals For | 2.5 |
Goals Against | 2.7 |
Hits | 21.5 |
Shots Blocked | 8.4 |
Pim | 8.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-12 | @ | Blue Jackets5,Hurricanes4 | RECAP | |||||||||||
2022-10-14 | @ | Hurricanes4,Sharks5 (SO) | RECAP | |||||||||||
2022-10-17 | @ | Hurricanes4,Kraken5 | RECAP | |||||||||||
2022-10-20 | @ | Hurricanes3,Oilers1 | RECAP | |||||||||||
2022-10-22 | @ | Hurricanes5,Flames3 | RECAP | |||||||||||
2022-10-24 | @ | Hurricanes2,Canucks4 | RECAP | |||||||||||
2022-10-28 | @ | Islanders2,Hurricanes1 | RECAP | |||||||||||
2022-10-29 | @ | Hurricanes3,Flyers5 | RECAP | |||||||||||
2022-10-31 | @ | Capitals2,Hurricanes1 (SO) | RECAP | |||||||||||
2022-11-03 | @ | Hurricanes2,Lightning1 | RECAP | |||||||||||
2022-11-04 | @ | Sabres1,Hurricanes3 | RECAP | |||||||||||
2022-11-06 | @ | Maple Leafs3,Hurricanes2 (SO) | RECAP | |||||||||||
2022-11-09 | @ | Hurricanes2,Panthers3 | RECAP | |||||||||||
2022-11-10 | @ | Oilers2,Hurricanes3 | RECAP | |||||||||||
2022-11-12 | @ | Hurricanes2,Avalanche1 | RECAP | |||||||||||
2022-11-14 | @ | Hurricanes0,Blackhawks4 | RECAP | |||||||||||
2022-11-17 | @ | Avalanche1,Hurricanes2 (OT) | RECAP | |||||||||||
2022-11-19 | @ | Hurricanes3,Wild1 | RECAP | |||||||||||
2022-11-21 | @ | Hurricanes3,Jets1 | RECAP | |||||||||||
2022-11-23 | @ | Coyotes2,Hurricanes0 | RECAP | |||||||||||
2022-11-25 | @ | Hurricanes2,Bruins5 | RECAP | |||||||||||
2022-11-26 | @ | Flames2,Hurricanes4 | RECAP | |||||||||||
2022-11-29 | @ | Hurricanes1,Penguins4 | RECAP | |||||||||||
2022-12-01 | @ | Hurricanes2,Blues4 | RECAP | |||||||||||
2022-12-03 | @ | Hurricanes4,Kings2 | RECAP | |||||||||||
2022-12-06 | @ | Hurricanes4,Ducks3 (OT) | RECAP | |||||||||||
2022-12-10 | @ | Hurricanes4,Islanders1 | RECAP | |||||||||||
2022-12-13 | @ | Hurricanes3,Red Wings1 | RECAP | |||||||||||
2022-12-15 | @ | Kraken3,Hurricanes2 | RECAP | |||||||||||
2022-12-17 | @ | Stars4,Hurricanes3 (SO) | RECAP | |||||||||||
2022-12-18 | @ | Penguins2,Hurricanes3 | RECAP | |||||||||||
2022-12-20 | @ | Devils3,Hurricanes2 (SO) | RECAP | |||||||||||
2022-12-22 | @ | Hurricanes3,Penguins1 | RECAP | |||||||||||
2022-12-23 | @ | Flyers2,Hurricanes3 (OT) | RECAP | |||||||||||
2022-12-27 | @ | Blackhawks5,Hurricanes3 | RECAP | |||||||||||
2022-12-30 | @ | Panthers2,Hurricanes0 | RECAP | |||||||||||
2023-01-01 | @ | Hurricanes2,Devils1 | RECAP | |||||||||||
2023-01-03 | @ | Hurricanes5,Rangers1 | RECAP | |||||||||||
2023-01-05 | @ | Predators1,Hurricanes0 | RECAP | |||||||||||
2023-01-07 | @ | Hurricanes2,Blue Jackets3 | RECAP | |||||||||||
2023-01-10 | @ | Devils4,Hurricanes3 | RECAP | |||||||||||
2023-01-12 | @ | Hurricanes2,Blue Jackets4 | RECAP | |||||||||||
2023-01-14 | @ | Penguins3,Hurricanes2 (OT) | RECAP | |||||||||||
2023-01-15 | @ | Canucks5,Hurricanes4 (OT) | RECAP | |||||||||||
2023-01-19 | @ | Wild3,Hurricanes2 (OT) | RECAP | |||||||||||
2023-01-21 | @ | Hurricanes1,Islanders4 | RECAP | |||||||||||
2023-01-25 | @ | Hurricanes4,Stars1 | RECAP | |||||||||||
2023-01-27 | @ | Sharks2,Hurricanes3 (OT) | RECAP | |||||||||||
2023-01-29 | @ | Bruins4,Hurricanes2 | RECAP | |||||||||||
2023-01-31 | @ | Kings4,Hurricanes2 | RECAP | |||||||||||
2023-02-01 | @ | Hurricanes4,Sabres2 | RECAP | |||||||||||
2023-02-11 | @ | Rangers2,Hurricanes4 | RECAP | |||||||||||
2023-02-14 | @ | Hurricanes1,Capitals3 | RECAP | |||||||||||
2023-02-16 | @ | Canadiens3,Hurricanes2 | RECAP | |||||||||||
2023-02-18 | @ | Capitals2,Hurricanes5 | RECAP | |||||||||||
2023-02-21 | @ | Blues3,Hurricanes0 | RECAP | |||||||||||
2023-02-24 | @ | Senators6,Hurricanes2 | RECAP | |||||||||||
2023-02-25 | @ | Ducks3,Hurricanes0 | RECAP | |||||||||||
2023-03-01 | @ | Hurricanes2,Golden Knights4 | RECAP | |||||||||||
2023-03-03 | @ | Hurricanes2,Coyotes4 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-05 | @ | Lightning2,Hurricanes4 | RECAP | |||||||||||
2023-03-07 | @ | Hurricanes2,Canadiens1 | RECAP | |||||||||||
2023-03-09 | @ | Flyers1,Hurricanes3 | RECAP | |||||||||||
2023-03-11 | @ | Golden Knights2,Hurricanes5 | RECAP | |||||||||||
2023-03-12 | @ | Hurricanes3,Devils1 | RECAP | |||||||||||
2023-03-14 | @ | Jets2,Hurricanes0 | RECAP | |||||||||||
2023-03-17 | @ | Hurricanes1,Maple Leafs2 (SO) | RECAP | |||||||||||
2023-03-18 | @ | |||||||||||||
2023-03-21 | @ | |||||||||||||
2023-03-23 | @ | |||||||||||||
2023-03-25 | @ | |||||||||||||
2023-03-26 | @ | |||||||||||||
2023-03-28 | @ | |||||||||||||
2023-03-30 | @ | |||||||||||||
2023-04-01 | @ | |||||||||||||
2023-04-02 | @ | |||||||||||||
2023-04-04 | @ | |||||||||||||
2023-04-06 | @ | |||||||||||||
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2023-04-13 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,405,912$ | 0$ | 73,819,967$ | 7,094,088$ |
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 | 189934 | 156500 | 64127 | 129244 | 31944 |
Attendance PCT | 93.10% | 92.06% | 94.30% | 95.03% | 93.95% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 16816 - 93.42% | 1,479,697$ | 50,309,681$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,405,912$ | 75,405,912$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
68,118,052$ | 330,455$ | 64,897,682$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,357,876$ | 27 | 404,264$ | 10,915,128$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
11,227,688$ | 75,405,912$ | 33,767,266$ | 32,897,454$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Adam Ginning | 2018 | 50 | 4.5 - 8.5 | ||
Alec Bélanger | 2020 | 211 | |||
Alex Gagne | 2021 | 203 | |||
Alexander Suzdalev | 2022 | 75 | |||
Angus Booth | 2022 | 144 | |||
Anton Johansson | 2022 | 114 | |||
Brett Berard | 2020 | 86 | |||
Brody Lamb | 2021 | 117 | |||
Carter Berger | 2019 | 115 | 5.5 - 4.5 | ||
Cross Hanas | 2020 | 120 | |||
Dylan James | 2022 | 77 | |||
Filip Westerlund | 4.0 - 5.5 | ||||
Francesco Pinelli | 2021 | 30 | |||
Frederic Brunet | 2022 | 150 | |||
Jackson Dorrington | 2022 | 214 | |||
Jacob Melanson | 2021 | 139 | |||
Jake Ratzlaff | 2020 | 111 | |||
Jan Bednar | 2020 | 82 | |||
Jonathan Tychonick | |||||
Justin Bergeron | 2019 | 187 | |||
Karel Plasek | 2019 | 177 | 6.0 - 3.0 | ||
Linus Arnesson | 6B | ||||
Luca Munzenberger | 2021 | 94 | |||
Matthew Gleason | 2020 | 185 | |||
Michael Callow | 2022 | 182 | |||
Nikola Pasic | 2019 | 208 | 5.0 - 5.0 | ||
Owen Pederson | 2020 | 149 | |||
Shai Buium | 2021 | 67 | |||
Simon Robertsson | 2021 | 25 | |||
Tyler Bauer | |||||
Tyson Kozak | 2021 | 198 | |||
Zack Ostapchuk | 2021 | 70 |
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