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Full Scoreboard »» |
Caroline Hurricanes 10-9-2, 22pts · 10th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 91 | 56 | 89 | 72 | 77 | 65 | 92 | 57 | 40 | 63 | 64 | 77 | 75 | 67 | 67 | 70 | 50 | 0 | 27 | 2,100,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 43 | 90 | 86 | 66 | 74 | 96 | 74 | 32 | 72 | 73 | 65 | 39 | 71 | 74 | 74 | 50 | 0 | 25 | 4,150,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 90 | 80 | 77 | 82 | 67 | 98 | 58 | 72 | 69 | 64 | 81 | 25 | 72 | 76 | 71 | 50 | 0 | 29 | 3,641,667$/5yrs | |||
![]() | 0 | RW | 100.00 | 76 | 44 | 92 | 74 | 73 | 74 | 93 | 87 | 49 | 67 | 77 | 63 | 25 | 60 | 60 | 74 | 50 | 0 | 24 | 758,333$/2yrs | |||
![]() | 0 | RW | 99.00 | 76 | 43 | 96 | 74 | 70 | 78 | 99 | 86 | 86 | 86 | 85 | 63 | 68 | 92 | 93 | 81 | 50 | 0 | 38 | 5,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 42 | 96 | 80 | 75 | 74 | 92 | 84 | 41 | 77 | 75 | 69 | 41 | 80 | 85 | 76 | 50 | 0 | 31 | 2,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 42 | 95 | 84 | 71 | 76 | 92 | 74 | 96 | 82 | 70 | 77 | 79 | 72 | 76 | 76 | 50 | 0 | 29 | 5,900,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 44 | 81 | 84 | 71 | 67 | 80 | 64 | 34 | 72 | 57 | 85 | 75 | 65 | 66 | 69 | 50 | 0 | 25 | 2,950,000$/4yrs | |||
![]() | 0 | C/LW | 99.00 | 83 | 44 | 78 | 81 | 68 | 73 | 61 | 76 | 39 | 76 | 76 | 67 | 25 | 67 | 67 | 75 | 50 | 0 | 26 | 4,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 43 | 91 | 79 | 66 | 75 | 87 | 75 | 37 | 76 | 70 | 74 | 75 | 65 | 66 | 75 | 50 | 0 | 27 | 1,875,000$/1yrs | |||
![]() | 0 | C | 99.00 | 75 | 54 | 71 | 87 | 81 | 79 | 94 | 90 | 85 | 82 | 86 | 63 | 79 | 69 | 71 | 81 | 50 | 0 | 24 | 6,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 82 | 45 | 93 | 73 | 73 | 62 | 91 | 62 | 71 | 60 | 64 | 81 | 25 | 62 | 63 | 70 | 52 | 0 | 26 | 1,050,000$/2yrs | |||
![]() | 0 | D | 100.00 | 92 | 88 | 78 | 87 | 79 | 83 | 99 | 68 | 25 | 61 | 50 | 88 | 25 | 76 | 77 | 69 | 50 | 0 | 28 | 8,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 80 | 55 | 74 | 81 | 77 | 76 | 77 | 59 | 25 | 54 | 49 | 94 | 25 | 78 | 78 | 65 | 50 | 0 | 32 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 44 | 90 | 87 | 80 | 88 | 76 | 94 | 25 | 72 | 63 | 81 | 63 | 82 | 88 | 76 | 50 | 0 | 32 | 8,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 80 | 58 | 81 | 74 | 82 | 60 | 75 | 57 | 25 | 46 | 48 | 83 | 25 | 70 | 73 | 61 | 50 | 0 | 33 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 99 | 71 | 70 | 75 | 75 | 72 | 92 | 61 | 25 | 55 | 48 | 86 | 25 | 75 | 77 | 65 | 50 | 0 | 32 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 99 | 47 | 85 | 68 | 72 | 66 | 77 | 62 | 25 | 39 | 47 | 79 | 25 | 48 | 48 | 61 | 50 | 0 | 25 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 61 | 62 | 57 | 67 | 62 | 84 | 88 | 71 | 80 | 70 | 69 | 60 | 66 | 46 | 46 | 68 | 50 | 0 | 26 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 41 | 89 | 76 | 69 | 66 | 92 | 67 | 52 | 71 | 70 | 63 | 25 | 54 | 54 | 70 | 50 | 0 | 20 | 855,833$/3yrs | |||
![]() | 0 | RW | 100.00 | 87 | 56 | 79 | 76 | 68 | 59 | 81 | 64 | 38 | 62 | 58 | 69 | 25 | 64 | 65 | 65 | 50 | 0 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 43 | 93 | 82 | 74 | 64 | 57 | 55 | 25 | 39 | 50 | 76 | 25 | 64 | 66 | 60 | 50 | 0 | 25 | 1,500,000$/1yrs | |||
TEAM AVERAGE | 99.86 | 78 | 53 | 84 | 78 | 73 | 72 | 86 | 70 | 47 | 66 | 64 | 75 | 44 | 68 | 70 | 71 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 63 | 73 | 74 | 79 | 65 | 60 | 69 | 64 | 65 | 63 | 81 | 79 | 80 | 66 | 50 | 0 | 36 | 5,800,000$/1yrs |
![]() | 0 | 97.00 | 82 | 71 | 69 | 74 | 86 | 78 | 91 | 83 | 87 | 82 | 93 | 55 | 56 | 82 | 50 | 0 | 23 | 925,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 73 | 72 | 72 | 77 | 76 | 69 | 80 | 74 | 76 | 73 | 87 | 67 | 68 | 74 | 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 61 | 41 | 87 | 77 | 64 | 63 | 85 | 65 | 74 | 55 | 55 | 66 | 25 | 45 | 45 | 61 | 57 | 0 | 21 | 863,333$/3yrs | |||
![]() | 0 | LW | 100.00 | 65 | 62 | 71 | 63 | 62 | 77 | 82 | 60 | 50 | 56 | 60 | 59 | 57 | 44 | 44 | 61 | 57 | 0 | 22 | 788,333$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 92 | 99 | 68 | 70 | 81 | 61 | 84 | 63 | 49 | 60 | 58 | 65 | 25 | 62 | 62 | 64 | 23 | 0 | 26 | 925,000$/1yrs |
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 | 0 | C | 21 | 5 | 14 | 19 | 0 | 43 | 5 | 35 | 82 | 29 | 48 | 6.10% | 13 | 21.30 | 1 | 4 | 5 | 50 | 0 | 0 | 0 | 20 | 2 | 0 | 53.46% | 563 | 22 | 9 | 0 | 0 | 0.85 | 1 | 4 | ||
2 | Joe Pavelski | 0 | RW | 21 | 12 | 6 | 18 | 2 | 7 | 5 | 20 | 65 | 20 | 44 | 18.46% | 9 | 18.62 | 2 | 3 | 5 | 51 | 0 | 0 | 0 | 0 | 3 | 3 | 37.93% | 29 | 15 | 10 | 0 | 1 | 0.92 | 0 | 0 | ||
3 | William Karlsson | 0 | C | 21 | 4 | 11 | 15 | 1 | 0 | 0 | 16 | 44 | 15 | 25 | 9.09% | 10 | 18.80 | 1 | 3 | 4 | 41 | 0 | 0 | 0 | 40 | 0 | 1 | 52.94% | 255 | 13 | 5 | 0 | 0 | 0.76 | 1 | 4 | ||
4 | Marcus Johansson | 0 | LW/RW | 21 | 6 | 7 | 13 | -1 | 2 | 0 | 22 | 59 | 17 | 32 | 10.17% | 6 | 16.17 | 2 | 2 | 4 | 41 | 0 | 0 | 0 | 0 | 0 | 2 | 36.36% | 11 | 6 | 4 | 0 | 0 | 0.77 | 0 | 0 | ||
5 | Robby Fabbri | 0 | C/LW | 21 | 3 | 10 | 13 | -1 | 23 | 5 | 40 | 48 | 11 | 29 | 6.25% | 5 | 18.83 | 2 | 2 | 4 | 49 | 0 | 0 | 0 | 1 | 0 | 0 | 34.38% | 32 | 5 | 8 | 0 | 0 | 0.66 | 0 | 0 | ||
6 | John Carlson | 0 | D | 21 | 2 | 8 | 10 | 3 | 4 | 0 | 34 | 34 | 21 | 17 | 5.88% | 28 | 24.26 | 1 | 2 | 3 | 58 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 8 | 21 | 0 | 0 | 0.39 | 0 | 0 | ||
7 | Taylor Raddysh | 0 | RW | 21 | 2 | 5 | 7 | -2 | 2 | 0 | 27 | 26 | 15 | 30 | 7.69% | 6 | 15.62 | 0 | 3 | 3 | 41 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 20 | 7 | 2 | 0 | 0 | 0.43 | 0 | 0 | ||
8 | Trevor Moore | 0 | LW/RW | 21 | 3 | 4 | 7 | -3 | 0 | 0 | 17 | 45 | 19 | 25 | 6.67% | 4 | 12.53 | 1 | 1 | 2 | 37 | 0 | 0 | 0 | 0 | 0 | 2 | 14.29% | 7 | 16 | 6 | 0 | 0 | 0.53 | 1 | 1 | ||
9 | Anthony Beauvillier | 0 | LW/RW | 21 | 5 | 1 | 6 | -1 | 2 | 0 | 9 | 31 | 5 | 16 | 16.13% | 1 | 9.66 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 7 | 1 | 0 | 28.57% | 7 | 12 | 3 | 0 | 0 | 0.59 | 0 | 0 | ||
10 | Jacob Trouba | 0 | D | 21 | 1 | 3 | 4 | -1 | 24 | 0 | 34 | 33 | 7 | 8 | 3.03% | 30 | 25.92 | 0 | 1 | 1 | 41 | 0 | 0 | 0 | 65 | 1 | 0 | 0.00% | 0 | 4 | 17 | 0 | 0 | 0.15 | 0 | 0 | ||
11 | Travis Hamonic | 0 | D | 21 | 1 | 3 | 4 | -10 | 20 | 0 | 33 | 17 | 11 | 7 | 5.88% | 39 | 22.89 | 1 | 0 | 1 | 15 | 0 | 0 | 0 | 58 | 0 | 0 | 0.00% | 0 | 3 | 14 | 0 | 0 | 0.17 | 0 | 0 | ||
12 | Steven Lorentz | 0 | C/LW/RW | 18 | 0 | 4 | 4 | 2 | 0 | 0 | 11 | 13 | 2 | 8 | 0.00% | 0 | 7.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.61% | 31 | 0 | 1 | 0 | 0 | 0.58 | 0 | 0 | ||
13 | Barclay Goodrow | 0 | C/LW | 21 | 1 | 2 | 3 | -7 | 9 | 5 | 28 | 42 | 6 | 17 | 2.38% | 10 | 15.82 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 68 | 0 | 0 | 52.42% | 227 | 2 | 7 | 0 | 0 | 0.18 | 0 | 0 | ||
14 | Mathieu Joseph | 0 | LW/RW | 21 | 1 | 2 | 3 | -4 | 6 | 0 | 24 | 34 | 10 | 29 | 2.94% | 14 | 14.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0 | 0 | 23.08% | 13 | 9 | 6 | 0 | 0 | 0.20 | 0 | 1 | ||
15 | Adam Erne | 0 | LW/RW | 21 | 2 | 0 | 2 | -4 | 0 | 0 | 17 | 9 | 2 | 17 | 22.22% | 3 | 11.25 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 50 | 0 | 0 | 50.00% | 2 | 2 | 5 | 0 | 0 | 0.17 | 1 | 3 | ||
16 | Radko Gudas | 0 | D | 21 | 0 | 2 | 2 | -8 | 36 | 10 | 36 | 22 | 2 | 3 | 0.00% | 32 | 22.46 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 61 | 0 | 0 | 0.00% | 0 | 3 | 15 | 0 | 0 | 0.08 | 0 | 0 | ||
17 | Noah Juulsen | 0 | D | 21 | 0 | 2 | 2 | 1 | 6 | 0 | 15 | 6 | 2 | 2 | 0.00% | 9 | 10.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 7 | 0 | 0 | 0.19 | 0 | 0 | ||
18 | John-Jason Peterka | 0 | LW/RW | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Robert Bortuzzo | 0 | D | 21 | 0 | 0 | 0 | 0 | 8 | 0 | 13 | 7 | 8 | 4 | 0.00% | 7 | 12.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 12 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 382 | 48 | 84 | 132 | -33 | 192 | 30 | 431 | 617 | 202 | 361 | 7.78% | 226 | 16.38 | 11 | 21 | 32 | 471 | 0 | 0 | 0 | 512 | 7 | 8 | 51.13% | 1197 | 128 | 152 | 0 | 1 | 0.42 | 4 | 13 |
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 | 18 | 10 | 6 | 2 | 0.924 | 2.46 | 1097 | 4 | 0 | 45 | 593 | 301 | 0 | 0 | 0.857 | 14 | 18 | 3 | 2 | 0 | 3 | |
2 | Jonathan Quick | 3 | 0 | 3 | 0 | 0.879 | 4.33 | 180 | 2 | 0 | 13 | 107 | 64 | 0 | 0 | 0.000 | 0 | 3 | 18 | 0 | 0 | 0 | |
Team Total or Average | 21 | 10 | 9 | 2 | 0.917 | 2.73 | 1277 | 6 | 0 | 58 | 700 | 365 | 0 | 0 | 0.857 | 14 | 21 | 21 | 2 | 0 | 3 |
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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 10 | 8 | 8 | 0 | 40 | 7 | 2 | 13 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 19 | 10 | 23 | 8 | 17 | 9 | 40.0% | 7.7% | 92.5% | 100.2 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 9 | 10 | 10 | 0 | 23 | 6 | 8 | 32 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 21 | 11 | 20 | 9 | 17 | 8 | 50.0% | 3.4% | 91.3% | 94.8 | DULL | |
3 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 0 | 4 | 4 | 1 | 89 | 22 | 33 | 34 | 2 | 111 | 43 | 20 | 62 | 11 | 4 | 36.36% | 10 | 3 | 70.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 61 | 34 | 70 | 28 | 52 | 25 | 50.0% | 10.1% | 92.8% | 102.9 | LUCKY | |
4 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 6 | 10 | -4 | 1 | 0.167 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 1 | 0 | 94 | 38 | 32 | 24 | 3 | 112 | 27 | 33 | 46 | 9 | 2 | 22.22% | 9 | 1 | 88.89% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 58 | 31 | 71 | 27 | 54 | 26 | 30.8% | 6.4% | 91.1% | 97.5 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 11 | 2 | 4 | 0 | 32 | 11 | 18 | 20 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 18 | 9 | 24 | 10 | 17 | 8 | 25.0% | 5.9% | 84.4% | 90.3 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 12 | 6 | 4 | 0 | 39 | 12 | 2 | 29 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 18 | 9 | 23 | 9 | 18 | 9 | 66.7% | 9.1% | 97.4% | 106.5 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 31 | 7 | 17 | 7 | 0 | 31 | 11 | 8 | 13 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 20 | 10 | 20 | 9 | 19 | 10 | 25.0% | 6.5% | 90.3% | 96.8 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 35 | 9 | 12 | 14 | 0 | 27 | 9 | 6 | 26 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 22 | 13 | 19 | 8 | 17 | 8 | 66.7% | 11.4% | 92.6% | 104.0 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 1 | 0 | 64 | 20 | 30 | 14 | 0 | 64 | 23 | 20 | 51 | 5 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 43 | 24 | 40 | 17 | 35 | 18 | 50.0% | 7.8% | 89.1% | 96.9 | Unlucky | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 34 | 9 | 14 | 11 | 0 | 27 | 7 | 10 | 12 | 6 | 2 | 33.33% | 5 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 19 | 10 | 24 | 9 | 16 | 8 | 33.3% | 8.8% | 92.6% | 101.4 | DULL | |
11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 2 | 1 | 34 | 10 | 6 | 15 | 3 | 26 | 12 | 8 | 28 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 21 | 12 | 22 | 9 | 17 | 7 | 60.0% | 8.8% | 92.3% | 101.1 | DULL | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 9 | 7 | 2 | 0 | 28 | 17 | 13 | 11 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 19 | 9 | 23 | 10 | 17 | 8 | 0.0% | 0.0% | 92.9% | 92.9 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 30 | 6 | 17 | 7 | 0 | 31 | 15 | 16 | 17 | 2 | 2 | 100.00% | 8 | 1 | 87.50% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 18 | 9 | 23 | 10 | 17 | 8 | 100.0% | 10.0% | 96.8% | 106.8 | LUCKY | |
14 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 1 | 2 | 32 | 9 | 8 | 15 | 5 | 32 | 7 | 9 | 19 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 22 | 11 | 22 | 9 | 20 | 11 | 66.7% | 12.5% | 90.6% | 103.1 | FUN | |
15 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 6 | 12 | 0 | 0 | 0 | 3 | 2 | 1 | 60 | 9 | 32 | 17 | 5 | 77 | 19 | 25 | 52 | 6 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 43 | 23 | 43 | 19 | 38 | 18 | 50.0% | 10.0% | 89.6% | 99.6 | FUN | |
_Vs Division | 7 | 3 | 2 | 0 | 1 | 0 | 1 | 0 | 18 | 15 | 3 | 10 | 0.714 | 18 | 32 | 50 | 0 | 0 | 2 | 7 | 7 | 2 | 208 | 62 | 69 | 74 | 5 | 226 | 80 | 48 | 163 | 22 | 6 | 27.27% | 24 | 4 | 83.33% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 142 | 79 | 160 | 66 | 123 | 59 | 52.2% | 8.7% | 93.4% | 102.0 | DULL | |
_Vs Conference | 13 | 5 | 5 | 0 | 1 | 0 | 1 | 1 | 31 | 30 | 1 | 15 | 0.577 | 31 | 55 | 86 | 0 | 0 | 5 | 14 | 10 | 2 | 385 | 124 | 137 | 121 | 8 | 424 | 148 | 116 | 263 | 36 | 10 | 27.78% | 48 | 7 | 85.42% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 261 | 143 | 298 | 122 | 231 | 111 | 47.7% | 8.1% | 92.9% | 101.0 | DULL | |
_Since Last GM Reset | 21 | 6 | 9 | 0 | 1 | 1 | 3 | 1 | 51 | 59 | -8 | 22 | 0.524 | 51 | 84 | 135 | 0 | 0 | 7 | 25 | 15 | 5 | 615 | 190 | 234 | 186 | 18 | 700 | 226 | 198 | 431 | 58 | 11 | 18.97% | 79 | 14 | 82.28% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 427 | 232 | 473 | 197 | 380 | 187 | 47.1% | 8.3% | 91.6% | 99.9 | DULL | |
Total | 21 | 6 | 9 | 0 | 1 | 1 | 3 | 1 | 51 | 59 | -8 | 22 | 0.524 | 51 | 84 | 135 | 0 | 0 | 7 | 25 | 15 | 5 | 615 | 190 | 234 | 186 | 18 | 700 | 226 | 198 | 431 | 58 | 11 | 18.97% | 79 | 14 | 82.28% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 427 | 232 | 473 | 197 | 380 | 187 | 47.1% | 8.3% | 91.6% | 99.9 | DULL |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 423 |
Neutral Zone Start | 280 |
Defensive Zone Start | 479 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 611 |
Faceoffs Lost | 571 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.0 | 9.57 |
2nd Period | 20.2 | 20.31 |
3rd Period | 29.0 | 30.68 |
Overtime | 29.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 4 |
Lost | 3 | 6 |
Overtime Lost | 0 | 2 |
PP Attempt | 58 |
---|---|
PP Goal | 11 |
PK Attempt | 79 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 33.3 |
Goals For | 2.4 |
Goals Against | 2.8 |
Hits | 20.5 |
Shots Blocked | 10.8 |
Pim | 9.4 |
Projected Total Cap Hit | 73,955,833$ |
Projected Cap Space | 8,544,167$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 19,177,315$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Hurricanes Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne ![]() | LW/RW | 27 | 2,100,000$ | 2,100,000$ | |||||||
Anthony Beauvillier ![]() | LW/RW | 25 | 4,150,000$ | 4,150,000$ | 4,150,000$ | ||||||
Barclay Goodrow ![]() | C/LW | 29 | 3,641,667$ | 3,641,667$ | 3,641,667$ | 3,641,667$ | 3,641,667$ | 3,641,667$ | |||
Jacob Trouba ![]() | D | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||||
Jeremy Swayman ![]() | G | 23 | 925,000$ | 925,000$ | |||||||
Joe Pavelski ![]() | RW | 38 | 5,500,000$ | 5,500,000$ | |||||||
John Carlson ![]() | D | 32 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | |||
John-Jason Peterka ![]() | LW/RW | 20 | 855,833$ | 855,833$ | 855,833$ | 855,833$ | |||||
Jonathan Quick ![]() | G | 36 | 5,800,000$ | 5,800,000$ | |||||||
Marcus Johansson ![]() | LW/RW | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Mathieu Joseph ![]() | LW/RW | 25 | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | ||||
Michael Carcone ![]() | C/LW | 26 | 750,000$ | 750,000$ | |||||||
Nicolas Aube-Kubel ![]() | RW | 26 | 1,000,000$ | 1,000,000$ | |||||||
Noah Juulsen ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
Pierre-Luc Dubois ![]() | C | 24 | 6,000,000$ | 6,000,000$ | |||||||
Radko Gudas ![]() | D | 32 | 2,500,000$ | 2,500,000$ | |||||||
Robby Fabbri ![]() | C/LW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Robert Bortuzzo ![]() | D | 33 | 950,000$ | 950,000$ | |||||||
Steven Lorentz ![]() | C/LW/RW | 26 | 1,050,000$ | 1,050,000$ | 1,050,000$ | ||||||
Taylor Raddysh ![]() | RW | 24 | 758,333$ | 758,333$ | 758,333$ | ||||||
Travis Dermott ![]() | D | 25 | 1,500,000$ | 1,500,000$ | |||||||
Travis Hamonic ![]() | D | 32 | 3,000,000$ | 3,000,000$ | |||||||
Trevor Moore ![]() | LW/RW | 27 | 1,875,000$ | 1,875,000$ | |||||||
William Karlsson ![]() | C | 29 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 10 | 8 | 8 | 0 | 40 | 7 | 2 | 13 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 19 | 10 | 23 | 8 | 17 | 9 | 40.0% | 7.7% | 92.5% | 100.2 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 9 | 10 | 10 | 0 | 23 | 6 | 8 | 32 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 21 | 11 | 20 | 9 | 17 | 8 | 50.0% | 3.4% | 91.3% | 94.8 | DULL | |
3 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 0 | 4 | 4 | 1 | 89 | 22 | 33 | 34 | 2 | 111 | 43 | 20 | 62 | 11 | 4 | 36.36% | 10 | 3 | 70.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 61 | 34 | 70 | 28 | 52 | 25 | 50.0% | 10.1% | 92.8% | 102.9 | LUCKY | |
4 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 6 | 10 | -4 | 1 | 0.167 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 1 | 0 | 94 | 38 | 32 | 24 | 3 | 112 | 27 | 33 | 46 | 9 | 2 | 22.22% | 9 | 1 | 88.89% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 58 | 31 | 71 | 27 | 54 | 26 | 30.8% | 6.4% | 91.1% | 97.5 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 11 | 2 | 4 | 0 | 32 | 11 | 18 | 20 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 18 | 9 | 24 | 10 | 17 | 8 | 25.0% | 5.9% | 84.4% | 90.3 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 12 | 6 | 4 | 0 | 39 | 12 | 2 | 29 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 18 | 9 | 23 | 9 | 18 | 9 | 66.7% | 9.1% | 97.4% | 106.5 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 31 | 7 | 17 | 7 | 0 | 31 | 11 | 8 | 13 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 20 | 10 | 20 | 9 | 19 | 10 | 25.0% | 6.5% | 90.3% | 96.8 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 35 | 9 | 12 | 14 | 0 | 27 | 9 | 6 | 26 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 22 | 13 | 19 | 8 | 17 | 8 | 66.7% | 11.4% | 92.6% | 104.0 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 1 | 0 | 64 | 20 | 30 | 14 | 0 | 64 | 23 | 20 | 51 | 5 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 43 | 24 | 40 | 17 | 35 | 18 | 50.0% | 7.8% | 89.1% | 96.9 | Unlucky | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 34 | 9 | 14 | 11 | 0 | 27 | 7 | 10 | 12 | 6 | 2 | 33.33% | 5 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 19 | 10 | 24 | 9 | 16 | 8 | 33.3% | 8.8% | 92.6% | 101.4 | DULL | |
11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 2 | 1 | 34 | 10 | 6 | 15 | 3 | 26 | 12 | 8 | 28 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 21 | 12 | 22 | 9 | 17 | 7 | 60.0% | 8.8% | 92.3% | 101.1 | DULL | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 9 | 7 | 2 | 0 | 28 | 17 | 13 | 11 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 19 | 9 | 23 | 10 | 17 | 8 | 0.0% | 0.0% | 92.9% | 92.9 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 30 | 6 | 17 | 7 | 0 | 31 | 15 | 16 | 17 | 2 | 2 | 100.00% | 8 | 1 | 87.50% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 18 | 9 | 23 | 10 | 17 | 8 | 100.0% | 10.0% | 96.8% | 106.8 | LUCKY | |
14 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 1 | 2 | 32 | 9 | 8 | 15 | 5 | 32 | 7 | 9 | 19 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 22 | 11 | 22 | 9 | 20 | 11 | 66.7% | 12.5% | 90.6% | 103.1 | FUN | |
15 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 6 | 12 | 0 | 0 | 0 | 3 | 2 | 1 | 60 | 9 | 32 | 17 | 5 | 77 | 19 | 25 | 52 | 6 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 43 | 23 | 43 | 19 | 38 | 18 | 50.0% | 10.0% | 89.6% | 99.6 | FUN | |
_Vs Division | 7 | 3 | 2 | 0 | 1 | 0 | 1 | 0 | 18 | 15 | 3 | 10 | 0.714 | 18 | 32 | 50 | 0 | 0 | 2 | 7 | 7 | 2 | 208 | 62 | 69 | 74 | 5 | 226 | 80 | 48 | 163 | 22 | 6 | 27.27% | 24 | 4 | 83.33% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 142 | 79 | 160 | 66 | 123 | 59 | 52.2% | 8.7% | 93.4% | 102.0 | DULL | |
_Vs Conference | 13 | 5 | 5 | 0 | 1 | 0 | 1 | 1 | 31 | 30 | 1 | 15 | 0.577 | 31 | 55 | 86 | 0 | 0 | 5 | 14 | 10 | 2 | 385 | 124 | 137 | 121 | 8 | 424 | 148 | 116 | 263 | 36 | 10 | 27.78% | 48 | 7 | 85.42% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 261 | 143 | 298 | 122 | 231 | 111 | 47.7% | 8.1% | 92.9% | 101.0 | DULL | |
_Since Last GM Reset | 21 | 6 | 9 | 0 | 1 | 1 | 3 | 1 | 51 | 59 | -8 | 22 | 0.524 | 51 | 84 | 135 | 0 | 0 | 7 | 25 | 15 | 5 | 615 | 190 | 234 | 186 | 18 | 700 | 226 | 198 | 431 | 58 | 11 | 18.97% | 79 | 14 | 82.28% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 427 | 232 | 473 | 197 | 380 | 187 | 47.1% | 8.3% | 91.6% | 99.9 | DULL | |
Total | 21 | 6 | 9 | 0 | 1 | 1 | 3 | 1 | 51 | 59 | -8 | 22 | 0.524 | 51 | 84 | 135 | 0 | 0 | 7 | 25 | 15 | 5 | 615 | 190 | 234 | 186 | 18 | 700 | 226 | 198 | 431 | 58 | 11 | 18.97% | 79 | 14 | 82.28% | 0 | 227 | 423 | 53.66% | 234 | 479 | 48.85% | 150 | 280 | 53.57% | 427 | 232 | 473 | 197 | 380 | 187 | 47.1% | 8.3% | 91.6% | 99.9 | DULL |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 423 |
Neutral Zone Start | 280 |
Defensive Zone Start | 479 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 611 |
Faceoffs Lost | 571 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.0 | 9.57 |
2nd Period | 20.2 | 20.31 |
3rd Period | 29.0 | 30.68 |
Overtime | 29.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 4 |
Lost | 3 | 6 |
Overtime Lost | 0 | 2 |
PP Attempt | 58 |
---|---|
PP Goal | 11 |
PK Attempt | 79 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 33.3 |
Goals For | 2.4 |
Goals Against | 2.8 |
Hits | 20.5 |
Shots Blocked | 10.8 |
Pim | 9.4 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
73,955,833$ | 0$ | 73,955,833$ | 8,544,167$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | PNC Arena | |
City | Caroline | ||
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 | 51774 | 42905 | 16788 | 33543 | 8517 |
Attendance PCT | 95.88% | 95.34% | 93.27% | 93.18% | 94.63% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
32 | 17059 - 94.77% | 616,604$ | 5,549,439$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
73,955,833$ | 73,955,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
19,177,315$ | 73,955,833$ | 19,177,315$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
19,731,339$ | 142 | 385,187$ | 54,696,554$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
56,274,500$ | 73,955,833$ | -501,721,040$ | -538,264,201$ |
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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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
---|---|---|---|---|---|
Abram Wiebe | 2022 | 214 | |||
Artem Guryev | 2021 | 141 | |||
Austin Wong | 2018 | 206 | |||
Bryce Mcconnell-Barker | 2022 | 96 | |||
Eric Pohlkamp | 2023 | 140 | |||
Fabian Wagner | 2022 | 182 | |||
Henry Thrun | 2019 | 111 | |||
Isaac Howard | 2022 | 28 | |||
Ivan Vorobyov | 2021 | 205 | |||
Jack Beck | 2021 | 173 | |||
Joe Miller | 2020 | 181 | |||
Jonathan Dahlen | Link | ||||
Luke Mittelstadt | 2023 | 186 | |||
Marc Del Gaizo | 2019 | 108 | |||
Matt Tennyson | Link | ||||
Noel Nordh | 2023 | 89 | |||
Owen Beck | 2022 | 37 | |||
Shane Wright | 2022 | 1 | |||
Yegor Velmakin | 2023 | 202 |
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