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Full Scoreboard »» |
Caroline Hurricanes 2-1-0, 4pts · 9th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Taylor Raddysh | 0 | RW | 100.00 | 77 | 44 | 90 | 74 | 73 | 72 | 93 | 78 | 37 | 61 | 58 | 78 | 25 | 64 | 64 | 68 | 50 | 0 | 25 | 758,333$/1yrs | |||
John-Jason Peterka | 0 | LW/RW | 100.00 | 61 | 51 | 89 | 80 | 69 | 73 | 97 | 79 | 31 | 72 | 85 | 62 | 25 | 60 | 60 | 77 | 50 | 0 | 21 | 855,833$/2yrs | |||
Conor Garland | 0 | LW/RW | 100.00 | 67 | 51 | 87 | 85 | 61 | 68 | 99 | 78 | 30 | 76 | 75 | 70 | 45 | 71 | 71 | 76 | 50 | 0 | 27 | 4,950,000$/3yrs | |||
Anthony Richard | 0 | RW | 100.00 | 71 | 66 | 82 | 63 | 66 | 82 | 86 | 68 | 50 | 61 | 68 | 67 | 65 | 57 | 57 | 68 | 50 | 0 | 26 | 775,000$/1yrs | |||
Kevin Stenlund | 0 | C/RW | 100.00 | 75 | 44 | 78 | 75 | 78 | 63 | 94 | 64 | 86 | 55 | 66 | 86 | 25 | 63 | 64 | 70 | 50 | 0 | 27 | 1,000,000$/1yrs | |||
Mathieu Joseph | 0 | LW/RW | 100.00 | 80 | 54 | 80 | 86 | 70 | 73 | 81 | 68 | 38 | 76 | 68 | 85 | 75 | 67 | 68 | 74 | 50 | 0 | 26 | 2,950,000$/3yrs | |||
Robby Fabbri | 0 | LW | 100.00 | 76 | 43 | 86 | 81 | 66 | 63 | 65 | 81 | 62 | 66 | 77 | 65 | 25 | 69 | 69 | 73 | 50 | 0 | 27 | 4,000,000$/2yrs | |||
Trevor Moore | 0 | LW/RW | 100.00 | 76 | 43 | 89 | 80 | 66 | 77 | 88 | 79 | 35 | 76 | 87 | 77 | 80 | 67 | 68 | 82 | 50 | 0 | 28 | 4,200,000$/5yrs | |||
Tomas Tatar | 0 | LW/RW | 100.00 | 67 | 42 | 90 | 79 | 65 | 62 | 93 | 67 | 33 | 66 | 64 | 67 | 59 | 79 | 82 | 68 | 50 | 0 | 32 | 1,500,000$/1yrs | |||
Pierre-Luc Dubois (A) | 0 | C | 100.00 | 77 | 45 | 76 | 85 | 80 | 70 | 95 | 79 | 84 | 74 | 72 | 61 | 80 | 71 | 73 | 73 | 50 | 0 | 25 | 8,500,000$/8yrs | |||
Connor McDavid | 0 | C | 100.00 | 81 | 44 | 88 | 99 | 71 | 87 | 96 | 92 | 87 | 99 | 89 | 68 | 84 | 75 | 77 | 88 | 50 | 0 | 26 | 12,500,000$/3yrs | |||
Mark Stone | 0 | RW | 100.00 | 67 | 43 | 88 | 80 | 76 | 81 | 67 | 94 | 25 | 88 | 80 | 81 | 47 | 74 | 78 | 81 | 50 | 0 | 31 | 9,500,000$/1yrs | |||
Sebastian Aho | 0 | D | 100.00 | 64 | 40 | 87 | 66 | 72 | 75 | 79 | 58 | 40 | 63 | 59 | 74 | 54 | 59 | 58 | 55 | 50 | 0 | 27 | 825,000$/2yrs | |||
Jaycob Megna | 0 | D | 100.00 | 79 | 45 | 85 | 68 | 85 | 72 | 67 | 62 | 25 | 44 | 47 | 84 | 25 | 63 | 63 | 61 | 50 | 0 | 30 | 762,500$/1yrs | |||
Henry Thrun (R) | 0 | D | 100.00 | 65 | 42 | 90 | 78 | 70 | 79 | 72 | 69 | 25 | 52 | 48 | 84 | 25 | 49 | 49 | 63 | 50 | 0 | 22 | 912,500$/1yrs | |||
Jacob Trouba (C) | 0 | D | 99.00 | 93 | 77 | 71 | 80 | 79 | 82 | 93 | 65 | 25 | 62 | 48 | 93 | 25 | 78 | 80 | 68 | 50 | 0 | 29 | 8,000,000$/3yrs | |||
John Carlson (A) | 0 | D | 100.00 | 71 | 44 | 85 | 82 | 80 | 95 | 78 | 92 | 25 | 72 | 53 | 94 | 63 | 85 | 91 | 73 | 50 | 0 | 33 | 8,000,000$/4yrs | |||
Robert Bortuzzo | 0 | D | 100.00 | 79 | 67 | 72 | 74 | 82 | 62 | 56 | 61 | 25 | 39 | 47 | 80 | 25 | 71 | 74 | 59 | 50 | 0 | 34 | 950,000$/1yrs | |||
Travis Dermott | 0 | D | 100.00 | 75 | 44 | 84 | 81 | 74 | 72 | 54 | 63 | 25 | 49 | 48 | 89 | 25 | 66 | 68 | 63 | 50 | 0 | 26 | 800,000$/1yrs | |||
Radko Gudas | 0 | D | 100.00 | 99 | 88 | 49 | 75 | 76 | 78 | 86 | 64 | 25 | 53 | 50 | 96 | 25 | 77 | 80 | 67 | 50 | 0 | 33 | 4,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Adam Erne | 0 | RW | 100.00 | 93 | 71 | 88 | 72 | 78 | 50 | 82 | 63 | 39 | 54 | 56 | 66 | 75 | 68 | 68 | 63 | 50 | 0 | 28 | 775,000$/1yrs | |||
Zack MacEwen | 0 | C/RW | 100.00 | 83 | 99 | 50 | 70 | 81 | 45 | 66 | 62 | 60 | 53 | 58 | 63 | 25 | 63 | 64 | 61 | 50 | 0 | 27 | 775,000$/3yrs | |||
Steven Lorentz | 0 | C/LW/RW | 100.00 | 83 | 45 | 91 | 73 | 73 | 52 | 76 | 63 | 58 | 55 | 56 | 71 | 25 | 64 | 65 | 63 | 50 | 0 | 27 | 1,050,000$/1yrs | |||
TEAM AVERAGE | 99.96 | 76 | 54 | 82 | 78 | 74 | 71 | 81 | 72 | 42 | 64 | 63 | 77 | 45 | 68 | 69 | 69 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jonathan Quick | 0 | 100.00 | 69 | 64 | 66 | 79 | 68 | 71 | 75 | 72 | 81 | 70 | 95 | 79 | 80 | 72 | 50 | 0 | 37 | 825,000$/1yrs |
Jeremy Swayman | 0 | 99.00 | 80 | 70 | 68 | 74 | 81 | 78 | 78 | 81 | 85 | 80 | 93 | 59 | 60 | 79 | 50 | 0 | 24 | 3,475,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 75 | 67 | 67 | 77 | 75 | 75 | 77 | 77 | 83 | 75 | 94 | 69 | 70 | 76 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jonathan Gruden | 0 | LW | 100.00 | 92 | 92 | 88 | 63 | 65 | 52 | 75 | 63 | 38 | 50 | 58 | 78 | 25 | 45 | 45 | 64 | 52 | 0 | 23 | 775,000$/1yrs | |||
Marc Del Gaizo (R) | 0 | D | 100.00 | 71 | 66 | 84 | 65 | 66 | 80 | 86 | 56 | 25 | 50 | 48 | 61 | 46 | 44 | 44 | 58 | 52 | 0 | 23 | 850,833$/1yrs | |||
Cole McWard (R) | 0 | D | 100.00 | 80 | 75 | 90 | 68 | 75 | 61 | 65 | 48 | 25 | 40 | 41 | 63 | 39 | 44 | 44 | 53 | 52 | 0 | 22 | 922,500$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Guillaume Richard Ménard |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Pierre-Luc Dubois | Hurricanes | 0 | C | 3 | 0 | 4 | 4 | 3 | 2 | 0 | 5 | 2 | 3 | 3 | 0.00% | 0 | 16.69 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 39.29% | 28 | 4 | 1 | 0 | 0 | 1.60 | 0 | 0 | |
2 | John-Jason Peterka | Hurricanes | 0 | LW/RW | 3 | 0 | 3 | 3 | 2 | 0 | 0 | 4 | 3 | 0 | 3 | 0.00% | 0 | 18.43 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 3 | 1 | 0 | 0 | 0 | 1.08 | 0 | 0 | |
3 | Conor Garland | Hurricanes | 0 | LW/RW | 3 | 3 | 0 | 3 | 3 | 0 | 0 | 3 | 8 | 2 | 3 | 37.50% | 1 | 14.97 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 2 | 3 | 0 | 0 | 0 | 1.34 | 0 | 0 | |
4 | Connor McDavid | Hurricanes | 0 | C | 3 | 0 | 2 | 2 | -2 | 0 | 0 | 4 | 7 | 7 | 8 | 0.00% | 0 | 21.78 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 2 | 0 | 0 | 54.32% | 81 | 3 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
5 | Mathieu Joseph | Hurricanes | 0 | LW/RW | 3 | 0 | 1 | 1 | -1 | 0 | 0 | 2 | 7 | 0 | 3 | 0.00% | 2 | 12.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 100.00% | 1 | 2 | 1 | 0 | 0 | 0.53 | 0 | 0 | |
6 | Travis Dermott | Hurricanes | 0 | D | 3 | 0 | 1 | 1 | 1 | 0 | 0 | 4 | 2 | 2 | 1 | 0.00% | 7 | 20.14 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.33 | 0 | 0 | |
7 | Robby Fabbri | Hurricanes | 0 | LW | 3 | 1 | 0 | 1 | -1 | 0 | 0 | 2 | 4 | 1 | 5 | 25.00% | 0 | 12.05 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 2 | 1 | 0 | 0 | 0.55 | 0 | 0 | |
8 | Trevor Moore | Hurricanes | 0 | LW/RW | 3 | 1 | 0 | 1 | -2 | 2 | 0 | 4 | 8 | 0 | 3 | 12.50% | 0 | 20.64 | 1 | 0 | 1 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 20.00% | 10 | 1 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
9 | Mark Stone | Hurricanes | 0 | RW | 3 | 1 | 0 | 1 | -1 | 0 | 0 | 3 | 16 | 5 | 5 | 6.25% | 2 | 19.83 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 2 | 7 | 2 | 0 | 0 | 0.34 | 0 | 0 | |
10 | Sebastian Aho | Hurricanes | 0 | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
11 | Jaycob Megna | Hurricanes | 0 | D | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 3 | 12.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | |
12 | Henry Thrun | Hurricanes | 0 | D | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 4 | 11.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Taylor Raddysh | Hurricanes | 0 | RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 1 | 2 | 0.00% | 0 | 9.23 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Jacob Trouba | Hurricanes | 0 | D | 3 | 0 | 0 | 0 | -2 | 4 | 0 | 7 | 3 | 1 | 1 | 0.00% | 5 | 26.88 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Anthony Richard | Hurricanes | 0 | RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 1 | 0.00% | 0 | 8.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 9 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | John Carlson | Hurricanes | 0 | D | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 5 | 1 | 2 | 0.00% | 5 | 24.45 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Kevin Stenlund | Hurricanes | 0 | C/RW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 2 | 1 | 0.00% | 0 | 12.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 47.37% | 19 | 1 | 2 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Robert Bortuzzo | Hurricanes | 0 | D | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 3.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
19 | Radko Gudas | Hurricanes | 0 | D | 3 | 0 | 0 | 0 | 1 | 4 | 0 | 6 | 3 | 2 | 1 | 0.00% | 3 | 19.26 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.00 | 0 | 0 | |
20 | Tomas Tatar | Hurricanes | 0 | LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 3 | 5 | 0.00% | 0 | 8.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 3 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 60 | 6 | 11 | 17 | 0 | 12 | 0 | 56 | 80 | 33 | 47 | 7.50% | 32 | 14.82 | 1 | 2 | 3 | 68 | 0 | 0 | 0 | 40 | 2 | 0 | 47.13% | 157 | 29 | 21 | 0 | 0 | 0.38 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jeremy Swayman | Hurricanes | 3 | 2 | 1 | 0 | 0.950 | 1.69 | 178 | 0 | 0 | 5 | 100 | 54 | 0 | 1 | 0.000 | 0 | 3 | 0 | 1 | 0 | 0 |
Team Total or Average | 3 | 2 | 1 | 0 | 0.950 | 1.69 | 178 | 0 | 0 | 5 | 100 | 54 | 0 | 1 | 0.000 | 0 | 3 | 0 | 1 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Lightning | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 0 | 2 | 0 | 55 | 19 | 16 | 20 | 0 | 70 | 21 | 8 | 36 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 42 | 26 | 43 | 18 | 33 | 15 | 57.1% | 9.1% | 95.7% | 104.8 | LUCKY |
2 | Devils | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 25 | 6 | 4 | 15 | 0 | 31 | 11 | 4 | 20 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 19 | 9 | 22 | 8 | 18 | 10 | 33.3% | 4.0% | 90.3% | 94.3 | Unlucky |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 25 | 6 | 4 | 15 | 0 | 31 | 11 | 4 | 20 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 19 | 9 | 22 | 8 | 18 | 10 | 33.3% | 4.0% | 90.3% | 94.3 | Unlucky | |
_Vs Conference | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 11 | 17 | 1 | 0 | 3 | 1 | 2 | 0 | 80 | 25 | 20 | 35 | 0 | 101 | 32 | 12 | 56 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 62 | 35 | 65 | 27 | 52 | 26 | 50.0% | 7.5% | 94.1% | 101.6 | DULL | |
_Since Last GM Reset | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 11 | 17 | 1 | 0 | 3 | 1 | 2 | 0 | 80 | 25 | 20 | 35 | 0 | 101 | 32 | 12 | 56 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 62 | 35 | 65 | 27 | 52 | 26 | 50.0% | 7.5% | 94.1% | 101.6 | DULL | |
Total | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 11 | 17 | 1 | 0 | 3 | 1 | 2 | 0 | 80 | 25 | 20 | 35 | 0 | 101 | 32 | 12 | 56 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 62 | 35 | 65 | 27 | 52 | 26 | 50.0% | 7.5% | 94.1% | 101.6 | DULL |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 56 |
Neutral Zone Start | 40 |
Defensive Zone Start | 61 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 74 |
Faceoffs Lost | 83 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.3 | 9.57 |
2nd Period | 15.0 | 20.31 |
3rd Period | 26.7 | 30.68 |
Overtime | 26.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 8 |
---|---|
PP Goal | 1 |
PK Attempt | 6 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 26.7 |
Shots Against | 33.7 |
Goals For | 2.0 |
Goals Against | 2.0 |
Hits | 18.7 |
Shots Blocked | 10.7 |
Pim | 4.0 |
Projected Total Cap Hit | 82,639,166$ |
Projected Cap Space | 860,834$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 5,059,536$ |
Players In Salary Cap | 25 |
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 Erne | RW | 28 | 775,000$ | 775,000$ | |||||||
Anthony Richard | RW | 26 | 775,000$ | 775,000$ | |||||||
Connor McDavid | C | 26 | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | |||||
Conor Garland | LW/RW | 27 | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | |||||
Henry Thrun | D | 22 | 912,500$ | 912,500$ | |||||||
Jacob Trouba | D | 29 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | |||||
Jaycob Megna | D | 30 | 762,500$ | 762,500$ | |||||||
Jeremy Swayman | G | 24 | 3,475,000$ | 3,475,000$ | |||||||
John Carlson | D | 33 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||||
John-Jason Peterka | LW/RW | 21 | 855,833$ | 855,833$ | 855,833$ | ||||||
Jonathan Quick | G | 37 | 825,000$ | 825,000$ | |||||||
Kevin Stenlund | C/RW | 27 | 1,000,000$ | 1,000,000$ | |||||||
Mark Stone | RW | 31 | 9,500,000$ | 9,500,000$ | |||||||
Mathieu Joseph | LW/RW | 26 | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | |||||
Pierre-Luc Dubois | C | 25 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Radko Gudas | D | 33 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Robby Fabbri | LW | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||||
Robert Bortuzzo | D | 34 | 950,000$ | 950,000$ | |||||||
Sebastian Aho | D | 27 | 825,000$ | 825,000$ | 825,000$ | ||||||
Steven Lorentz | C/LW/RW | 27 | 1,050,000$ | 1,050,000$ | |||||||
Taylor Raddysh | RW | 25 | 758,333$ | 758,333$ | |||||||
Tomas Tatar | LW/RW | 32 | 1,500,000$ | 1,500,000$ | |||||||
Travis Dermott | D | 26 | 800,000$ | 800,000$ | |||||||
Trevor Moore | LW/RW | 28 | 4,200,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | |||
Zack MacEwen | C/RW | 27 | 775,000$ | 775,000$ | 775,000$ | 775,000$ |
Forward Lines | |||||||
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Priority | Type | Description |
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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 | Lightning | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 0 | 2 | 0 | 55 | 19 | 16 | 20 | 0 | 70 | 21 | 8 | 36 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 42 | 26 | 43 | 18 | 33 | 15 | 57.1% | 9.1% | 95.7% | 104.8 | LUCKY |
2 | Devils | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 25 | 6 | 4 | 15 | 0 | 31 | 11 | 4 | 20 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 19 | 9 | 22 | 8 | 18 | 10 | 33.3% | 4.0% | 90.3% | 94.3 | Unlucky |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 25 | 6 | 4 | 15 | 0 | 31 | 11 | 4 | 20 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 19 | 9 | 22 | 8 | 18 | 10 | 33.3% | 4.0% | 90.3% | 94.3 | Unlucky | |
_Vs Conference | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 11 | 17 | 1 | 0 | 3 | 1 | 2 | 0 | 80 | 25 | 20 | 35 | 0 | 101 | 32 | 12 | 56 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 62 | 35 | 65 | 27 | 52 | 26 | 50.0% | 7.5% | 94.1% | 101.6 | DULL | |
_Since Last GM Reset | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 11 | 17 | 1 | 0 | 3 | 1 | 2 | 0 | 80 | 25 | 20 | 35 | 0 | 101 | 32 | 12 | 56 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 62 | 35 | 65 | 27 | 52 | 26 | 50.0% | 7.5% | 94.1% | 101.6 | DULL | |
Total | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 11 | 17 | 1 | 0 | 3 | 1 | 2 | 0 | 80 | 25 | 20 | 35 | 0 | 101 | 32 | 12 | 56 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 24 | 56 | 42.86% | 30 | 61 | 49.18% | 20 | 40 | 50.00% | 62 | 35 | 65 | 27 | 52 | 26 | 50.0% | 7.5% | 94.1% | 101.6 | DULL |
Puck Time | |
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Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
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Offensive Zone Start | 56 |
Neutral Zone Start | 40 |
Defensive Zone Start | 61 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 74 |
Faceoffs Lost | 83 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.3 | 9.57 |
2nd Period | 15.0 | 20.31 |
3rd Period | 26.7 | 30.68 |
Overtime | 26.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 4 |
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PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 8 |
---|---|
PP Goal | 1 |
PK Attempt | 6 |
PK Goal Against | 1 |
Home | |
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Shots For | 26.7 |
Shots Against | 33.7 |
Goals For | 2.0 |
Goals Against | 2.0 |
Hits | 18.7 |
Shots Blocked | 10.7 |
Pim | 4.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,639,166$ | 0$ | 82,639,166$ | 860,834$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | PNC Arena | ||
City | Caroline | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 10648 | 9502 | 3474 | 7780 | 1897 |
Attendance PCT | 88.73% | 95.02% | 86.85% | 97.25% | 94.85% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 16651 - 92.50% | 594,255$ | 1,188,509$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,639,166$ | 82,639,166$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
5,059,536$ | 82,639,166$ | 5,059,536$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
23,175,926$ | 184 | 421,628$ | 77,579,552$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
79,906,268$ | 82,639,166$ | -545,755,452$ | -602,485,794$ |
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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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 |
---|---|---|---|---|---|
1 ballo car 2024 | Hurricanes | ||||
Abram Wiebe | Hurricanes | 2022 | 214 | ||
Artem Guryev | Hurricanes | 2021 | 141 | ||
Austin Wong | Hurricanes | 2018 | 206 | ||
Bryce Mcconnell-Barker | Hurricanes | 2022 | 96 | ||
Clarke Caswell | Hurricanes | 2024 | 109 | ||
Eric Pohlkamp | Hurricanes | 2023 | 140 | ||
Fabian Wagner | Hurricanes | 2022 | 182 | ||
Gabriel Eliasson | Hurricanes | 2024 | 53 | ||
Harrison Meneghin | Hurricanes | 2024 | 173 | ||
Ivan Vorobyov | Hurricanes | 2021 | 205 | ||
Jack Beck | Hurricanes | 2021 | 173 | ||
Joe Miller | Hurricanes | 2020 | 181 | ||
Kevin He | Hurricanes | 2024 | 112 | ||
Kieron Walton | Hurricanes | 2024 | 166 | ||
Luke Mittelstadt | Hurricanes | 2023 | 186 | ||
Matt Tennyson | Hurricanes | Link | |||
Miguel Marques | Hurricanes | 2024 | 95 | ||
Noel Nordh | Hurricanes | 2023 | 89 | ||
Rasmus Bergqvist | Hurricanes | 2024 | 205 | ||
Sebastian Soini | Hurricanes | 2024 | 141 | ||
Yegor Velmakin | Hurricanes | 2023 | 202 |
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