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Full Scoreboard »» |
New Jersey Devils 9-10-1, 19pts · 13th 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 | C/LW | 100.00 | 82 | 79 | 88 | 80 | 79 | 59 | 60 | 55 | 61 | 59 | 50 | 74 | 42 | 73 | 73 | 60 | 50 | 0 | 30 | 950,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 95 | 60 | 65 | 85 | 78 | 79 | 63 | 68 | 38 | 74 | 87 | 70 | 37 | 81 | 82 | 79 | 50 | 0 | 31 | 5,125,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 96 | 56 | 80 | 78 | 64 | 56 | 56 | 61 | 31 | 60 | 59 | 80 | 25 | 66 | 68 | 67 | 50 | 0 | 30 | 900,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 80 | 44 | 88 | 82 | 70 | 53 | 59 | 54 | 66 | 50 | 55 | 77 | 63 | 81 | 82 | 62 | 50 | 0 | 35 | 1,250,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 84 | 45 | 92 | 78 | 74 | 62 | 98 | 58 | 54 | 61 | 60 | 75 | 45 | 81 | 86 | 67 | 50 | 0 | 35 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 51 | 88 | 86 | 61 | 70 | 96 | 74 | 31 | 78 | 72 | 68 | 45 | 68 | 68 | 75 | 50 | 0 | 26 | 4,950,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 89 | 46 | 84 | 79 | 79 | 63 | 77 | 65 | 29 | 63 | 80 | 70 | 25 | 67 | 70 | 75 | 50 | 0 | 27 | 1,400,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 42 | 88 | 85 | 65 | 69 | 96 | 74 | 38 | 77 | 75 | 63 | 58 | 77 | 79 | 75 | 50 | 0 | 31 | 4,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 41 | 86 | 82 | 72 | 68 | 86 | 58 | 41 | 68 | 68 | 80 | 25 | 70 | 74 | 70 | 50 | 0 | 29 | 1,250,000$/1yrs | |||
![]() | 0 | C | 99.00 | 76 | 44 | 86 | 99 | 71 | 90 | 98 | 96 | 89 | 99 | 99 | 77 | 78 | 73 | 75 | 93 | 50 | 0 | 25 | 12,500,000$/4yrs | |||
![]() | 0 | RW | 99.00 | 69 | 43 | 92 | 83 | 76 | 81 | 60 | 83 | 25 | 82 | 88 | 78 | 47 | 72 | 75 | 82 | 50 | 0 | 30 | 9,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 54 | 72 | 85 | 68 | 78 | 93 | 81 | 91 | 81 | 76 | 68 | 25 | 71 | 72 | 76 | 50 | 0 | 27 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 57 | 88 | 68 | 85 | 77 | 77 | 62 | 25 | 54 | 47 | 78 | 25 | 61 | 61 | 62 | 50 | 0 | 29 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 90 | 71 | 63 | 71 | 71 | 65 | 25 | 59 | 49 | 70 | 25 | 57 | 57 | 61 | 50 | 0 | 26 | 1,700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 43 | 84 | 86 | 87 | 88 | 99 | 81 | 25 | 72 | 62 | 81 | 63 | 95 | 95 | 74 | 50 | 0 | 37 | 8,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 77 | 44 | 78 | 88 | 73 | 92 | 81 | 93 | 25 | 70 | 60 | 73 | 25 | 67 | 67 | 73 | 50 | 0 | 25 | 8,000,000$/6yrs | |||
![]() | 0 | D | 99.00 | 73 | 44 | 90 | 86 | 77 | 84 | 88 | 58 | 25 | 59 | 48 | 97 | 25 | 80 | 89 | 67 | 50 | 0 | 33 | 6,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 76 | 56 | 79 | 76 | 79 | 62 | 53 | 61 | 25 | 49 | 54 | 69 | 25 | 71 | 72 | 62 | 50 | 0 | 32 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 74 | 74 | 74 | 70 | 74 | 81 | 85 | 69 | 80 | 59 | 71 | 70 | 67 | 64 | 64 | 70 | 50 | 0 | 31 | 762,500$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 53 | 91 | 76 | 72 | 62 | 82 | 73 | 37 | 61 | 70 | 60 | 61 | 84 | 84 | 68 | 50 | 0 | 33 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 61 | 73 | 77 | 61 | 78 | 81 | 67 | 80 | 63 | 65 | 62 | 62 | 51 | 51 | 67 | 50 | 0 | 26 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 76 | 84 | 63 | 76 | 75 | 83 | 47 | 25 | 36 | 40 | 65 | 38 | 55 | 56 | 54 | 50 | 0 | 27 | 750,000$/1yrs | |||
TEAM AVERAGE | 99.82 | 75 | 52 | 84 | 80 | 73 | 73 | 79 | 68 | 44 | 65 | 65 | 73 | 42 | 71 | 73 | 70 | 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 | 70 | 53 | 52 | 73 | 72 | 68 | 75 | 71 | 78 | 71 | 79 | 46 | 46 | 70 | 50 | 0 | 35 | 750,000$/1yrs |
![]() | 0 | 97.00 | 63 | 60 | 61 | 73 | 65 | 60 | 83 | 66 | 65 | 63 | 95 | 67 | 69 | 66 | 50 | 0 | 30 | 3,800,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 67 | 57 | 57 | 73 | 69 | 64 | 79 | 69 | 72 | 67 | 87 | 57 | 58 | 68 | 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 | LW/RW | 100.00 | 84 | 74 | 85 | 67 | 67 | 52 | 73 | 55 | 26 | 61 | 70 | 74 | 25 | 46 | 46 | 69 | 56 | 0 | 22 | 871,667$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 69 | 88 | 65 | 69 | 71 | 77 | 49 | 25 | 42 | 41 | 61 | 39 | 44 | 44 | 53 | 56 | 0 | 23 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 92 | 46 | 94 | 68 | 76 | 54 | 70 | 59 | 25 | 39 | 47 | 72 | 25 | 46 | 46 | 59 | 56 | 0 | 24 | 817,500$/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 | Thomas Audet |
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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 | Connor McDavid | 0 | C | 20 | 12 | 20 | 32 | -3 | 6 | 0 | 31 | 93 | 24 | 32 | 12.90% | 8 | 22.01 | 3 | 9 | 12 | 45 | 1 | 0 | 1 | 44 | 2 | 0 | 55.93% | 599 | 25 | 7 | 0 | 0 | 1.45 | 3 | 3 | ||
2 | Mark Stone | 0 | RW | 20 | 17 | 9 | 26 | -4 | 4 | 0 | 34 | 72 | 19 | 41 | 23.61% | 18 | 21.99 | 9 | 2 | 11 | 45 | 0 | 0 | 0 | 44 | 1 | 2 | 27.03% | 37 | 12 | 8 | 0 | 1 | 1.18 | 0 | 3 | ||
3 | Max Domi | 0 | C/LW | 20 | 5 | 17 | 22 | 4 | 15 | 5 | 27 | 66 | 14 | 52 | 7.58% | 9 | 17.84 | 0 | 6 | 6 | 43 | 0 | 0 | 0 | 20 | 0 | 1 | 54.78% | 230 | 14 | 5 | 0 | 0 | 1.23 | 0 | 2 | ||
4 | Thomas Chabot | 0 | D | 20 | 2 | 10 | 12 | 3 | 20 | 0 | 25 | 51 | 17 | 16 | 3.92% | 27 | 23.02 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 9 | 11 | 0 | 0 | 0.52 | 0 | 1 | ||
5 | Tomas Tatar | 0 | LW/RW | 20 | 6 | 6 | 12 | 2 | 4 | 0 | 25 | 30 | 15 | 29 | 20.00% | 9 | 16.16 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 0 | 1 | 1 | 10.00% | 10 | 8 | 3 | 0 | 0 | 0.74 | 0 | 1 | ||
6 | Evander Kane | 0 | LW/RW | 20 | 5 | 5 | 10 | -4 | 22 | 0 | 44 | 51 | 24 | 23 | 9.80% | 7 | 18.88 | 0 | 0 | 0 | 33 | 0 | 0 | 0 | 21 | 0 | 0 | 25.00% | 16 | 11 | 8 | 0 | 0 | 0.53 | 1 | 1 | ||
7 | Brent Burns | 0 | D | 20 | 3 | 6 | 9 | -4 | 4 | 0 | 20 | 41 | 22 | 20 | 7.32% | 31 | 23.50 | 1 | 1 | 2 | 49 | 0 | 1 | 1 | 46 | 0 | 0 | 0.00% | 0 | 8 | 24 | 0 | 0 | 0.38 | 0 | 0 | ||
8 | Conor Garland | 0 | LW/RW | 20 | 3 | 6 | 9 | 1 | 11 | 5 | 17 | 38 | 12 | 29 | 7.89% | 11 | 16.56 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 28.00% | 25 | 10 | 5 | 0 | 0 | 0.54 | 0 | 0 | ||
9 | William Carrier | 0 | LW | 20 | 3 | 3 | 6 | -2 | 2 | 0 | 27 | 34 | 13 | 28 | 8.82% | 4 | 11.35 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 10 | 6 | 0 | 0 | 0.53 | 0 | 0 | ||
10 | Trevor Lewis | 0 | C/RW | 20 | 2 | 3 | 5 | -5 | 5 | 5 | 26 | 16 | 5 | 14 | 12.50% | 6 | 12.81 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 36.80% | 125 | 3 | 7 | 0 | 0 | 0.39 | 0 | 0 | ||
11 | Mattias Janmark | 0 | LW/RW | 20 | 1 | 4 | 5 | -6 | 6 | 0 | 18 | 27 | 15 | 16 | 3.70% | 5 | 12.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 40.00% | 15 | 9 | 5 | 0 | 0 | 0.41 | 0 | 0 | ||
12 | Ryan McDonagh | 0 | D | 20 | 0 | 4 | 4 | 0 | 7 | 5 | 34 | 26 | 5 | 11 | 0.00% | 34 | 27.02 | 0 | 1 | 1 | 50 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 8 | 21 | 0 | 0 | 0.15 | 0 | 0 | ||
13 | Riley Sheahan | 0 | C/LW | 20 | 1 | 2 | 3 | -1 | 0 | 0 | 16 | 20 | 5 | 7 | 5.00% | 7 | 9.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 42.65% | 68 | 1 | 5 | 0 | 0 | 0.31 | 0 | 0 | ||
14 | Jaycob Megna | 0 | D | 20 | 1 | 2 | 3 | 0 | 17 | 5 | 23 | 18 | 7 | 7 | 5.56% | 24 | 19.21 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 30 | 1 | 0 | 0.00% | 0 | 0 | 12 | 0 | 0 | 0.16 | 0 | 0 | ||
15 | Josh Archibald | 0 | LW/RW | 20 | 2 | 1 | 3 | -1 | 4 | 0 | 21 | 23 | 13 | 21 | 8.70% | 4 | 8.83 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 3 | 5 | 8 | 0 | 0 | 0.34 | 0 | 0 | ||
16 | Sebastian Aho | 0 | D | 20 | 0 | 3 | 3 | -6 | 0 | 0 | 9 | 4 | 3 | 3 | 0.00% | 18 | 14.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.21 | 0 | 0 | ||
17 | Darren Helm | 0 | C/LW/RW | 20 | 1 | 1 | 2 | -1 | 0 | 0 | 10 | 6 | 4 | 11 | 16.67% | 6 | 8.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 50.00% | 14 | 4 | 1 | 0 | 0 | 0.23 | 0 | 0 | ||
18 | Michael Stone | 0 | D | 20 | 0 | 2 | 2 | -5 | 4 | 0 | 19 | 14 | 2 | 3 | 0.00% | 19 | 13.44 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 2 | 6 | 0 | 0 | 0.15 | 0 | 0 | ||
Team Total or Average | 360 | 64 | 104 | 168 | -32 | 131 | 25 | 426 | 630 | 219 | 363 | 10.16% | 247 | 16.55 | 13 | 19 | 32 | 407 | 1 | 1 | 2 | 344 | 7 | 5 | 49.91% | 1148 | 139 | 144 | 0 | 1 | 0.56 | 4 | 11 |
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 | Petr Mrazek | 15 | 6 | 8 | 1 | 0.900 | 3.22 | 877 | 4 | 0 | 47 | 472 | 271 | 1 | 0 | 0.400 | 5 | 15 | 5 | 1 | 1 | 0 | |
2 | Alex Stalock | 6 | 3 | 2 | 0 | 0.896 | 3.39 | 336 | 0 | 0 | 19 | 183 | 102 | 0 | 0 | 1.000 | 6 | 5 | 15 | 0 | 0 | 1 | |
Team Total or Average | 21 | 9 | 10 | 1 | 0.899 | 3.26 | 1214 | 4 | 0 | 66 | 655 | 373 | 1 | 0 | 0.727 | 11 | 20 | 20 | 1 | 1 | 1 |
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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 3 | 14 | 7 | 0 | 37 | 15 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 17 | 8 | 23 | 9 | 18 | 9 | 25.0% | 4.2% | 91.9% | 96.1 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 4 | 14 | 12 | 0 | 42 | 12 | 11 | 21 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 19 | 10 | 22 | 8 | 18 | 8 | 0.0% | 3.3% | 88.1% | 91.4 | Unlucky | |
3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | -2 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 3 | 2 | 71 | 13 | 20 | 37 | 6 | 71 | 21 | 16 | 31 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 39 | 22 | 49 | 19 | 35 | 16 | 41.7% | 8.5% | 88.7% | 97.2 | Unlucky | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 2 | 0 | 3 | 0 | 54 | 20 | 11 | 23 | 0 | 70 | 14 | 12 | 49 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 42 | 22 | 40 | 16 | 37 | 19 | 27.3% | 9.3% | 85.7% | 95.0 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 38 | 6 | 16 | 16 | 0 | 34 | 14 | 2 | 14 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 20 | 12 | 23 | 9 | 16 | 8 | 66.7% | 10.5% | 91.2% | 101.7 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 8 | 11 | 5 | 0 | 36 | 22 | 10 | 30 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 20 | 11 | 21 | 9 | 17 | 8 | 33.3% | 4.2% | 91.7% | 95.8 | DULL | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 2 | 9 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 2 | 4 | 5 | 0 | 70 | 12 | 29 | 29 | 0 | 66 | 27 | 2 | 33 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 41 | 24 | 42 | 18 | 35 | 18 | 83.3% | 15.7% | 97.0% | 112.7 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 1 | 0 | 36 | 16 | 12 | 8 | 0 | 30 | 5 | 4 | 28 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 23 | 15 | 20 | 8 | 16 | 7 | 66.7% | 11.1% | 96.7% | 107.8 | LUCKY | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 2 | 1 | 35 | 14 | 11 | 10 | 3 | 26 | 19 | 6 | 31 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 22 | 13 | 23 | 9 | 19 | 9 | 50.0% | 11.4% | 88.5% | 99.9 | FUN | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 11 | 20 | 0 | 0 | 3 | 4 | 2 | 0 | 59 | 15 | 21 | 23 | 0 | 63 | 26 | 18 | 55 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 43 | 24 | 40 | 17 | 36 | 19 | 50.0% | 15.3% | 87.3% | 102.6 | FUN | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 1 | 3 | 1 | 39 | 10 | 12 | 17 | 2 | 30 | 11 | 4 | 17 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 23 | 13 | 24 | 9 | 17 | 8 | 55.6% | 12.8% | 86.7% | 99.5 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 9 | 12 | 10 | 0 | 33 | 13 | 4 | 18 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 21 | 12 | 21 | 8 | 17 | 8 | 33.3% | 3.2% | 90.9% | 94.1 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 26 | 12 | 7 | 7 | 0 | 34 | 8 | 4 | 18 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 21 | 12 | 21 | 8 | 17 | 8 | 42.9% | 15.4% | 85.3% | 100.7 | FUN | |
14 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 1 | 3 | 1 | 65 | 19 | 19 | 25 | 2 | 61 | 31 | 29 | 38 | 3 | 1 | 33.33% | 8 | 1 | 87.50% | 1 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 42 | 24 | 43 | 18 | 34 | 16 | 44.4% | 7.7% | 90.2% | 97.9 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 0 | 4 | 0 | 28 | 6 | 2 | 20 | 0 | 22 | 9 | 9 | 26 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 20 | 10 | 21 | 9 | 18 | 9 | 60.0% | 17.9% | 86.4% | 104.2 | FUN | |
_Vs Division | 7 | 3 | 2 | 0 | 0 | 0 | 1 | 1 | 27 | 18 | 9 | 9 | 0.643 | 27 | 45 | 72 | 0 | 0 | 5 | 9 | 12 | 3 | 247 | 60 | 85 | 101 | 8 | 230 | 77 | 30 | 127 | 17 | 4 | 23.53% | 15 | 2 | 86.67% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 149 | 88 | 157 | 65 | 122 | 59 | 59.0% | 10.9% | 92.2% | 103.1 | LUCKY | |
_Vs Conference | 13 | 4 | 7 | 0 | 0 | 0 | 1 | 1 | 46 | 44 | 2 | 11 | 0.423 | 46 | 72 | 118 | 0 | 0 | 10 | 15 | 20 | 3 | 410 | 110 | 138 | 161 | 8 | 434 | 140 | 68 | 266 | 36 | 8 | 22.22% | 30 | 5 | 83.33% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 273 | 156 | 283 | 117 | 232 | 116 | 49.4% | 11.2% | 89.9% | 101.1 | FUN | |
_Since Last GM Reset | 20 | 6 | 10 | 0 | 1 | 0 | 2 | 1 | 66 | 67 | -1 | 19 | 0.475 | 66 | 104 | 170 | 0 | 0 | 11 | 19 | 33 | 5 | 630 | 167 | 211 | 249 | 13 | 655 | 247 | 135 | 426 | 54 | 13 | 24.07% | 52 | 9 | 82.69% | 1 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 419 | 237 | 438 | 182 | 357 | 176 | 47.7% | 10.5% | 89.8% | 100.2 | FUN | |
Total | 20 | 6 | 10 | 0 | 1 | 0 | 2 | 1 | 66 | 67 | -1 | 19 | 0.475 | 66 | 104 | 170 | 0 | 0 | 11 | 19 | 33 | 5 | 630 | 167 | 211 | 249 | 13 | 655 | 247 | 135 | 426 | 54 | 13 | 24.07% | 52 | 9 | 82.69% | 1 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 419 | 237 | 438 | 182 | 357 | 176 | 47.7% | 10.5% | 89.8% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 433 |
Neutral Zone Start | 303 |
Defensive Zone Start | 403 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 573 |
Faceoffs Lost | 566 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.4 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 31.4 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 52 |
---|---|
PP Goal | 13 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 5 |
Lost | 6 | 4 |
Overtime Lost | 1 | 0 |
PP Attempt | 54 |
---|---|
PP Goal | 13 |
PK Attempt | 52 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 32.8 |
Goals For | 3.3 |
Goals Against | 3.4 |
Hits | 21.3 |
Shots Blocked | 12.4 |
Pim | 6.8 |
Projected Total Cap Hit | 79,650,000$ |
Projected Cap Space | 2,850,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 20,742,200$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Devils Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Stalock ![]() | G | 35 | 750,000$ | 750,000$ | |||||||
Andy Andreoff ![]() | C/LW | 31 | 762,500$ | 762,500$ | 762,500$ | ||||||
Brent Burns ![]() | D | 37 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | |||||
Brett Seney ![]() | C/LW | 26 | 750,000$ | 750,000$ | |||||||
Connor McDavid ![]() | C | 25 | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | ||||
Conor Garland ![]() | LW/RW | 26 | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | ||||
Darren Helm ![]() | C/LW/RW | 35 | 1,250,000$ | 1,250,000$ | |||||||
Evander Kane ![]() | LW/RW | 31 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | ||||
Jaycob Megna ![]() | D | 29 | 762,500$ | 762,500$ | 762,500$ | ||||||
Josh Archibald ![]() | LW/RW | 30 | 900,000$ | 900,000$ | |||||||
Mark Stone ![]() | RW | 30 | 9,500,000$ | 9,500,000$ | 9,500,000$ | ||||||
Mattias Janmark ![]() | LW/RW | 29 | 1,250,000$ | 1,250,000$ | |||||||
Max Domi ![]() | C/LW | 27 | 3,000,000$ | 3,000,000$ | |||||||
Michael Stone ![]() | D | 32 | 750,000$ | 750,000$ | |||||||
Petr Mrazek ![]() | G | 30 | 3,800,000$ | 3,800,000$ | 3,800,000$ | ||||||
Riley Sheahan ![]() | C/LW | 30 | 950,000$ | 950,000$ | |||||||
Ryan McDonagh ![]() | D | 33 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | |||||
Sam Gagner ![]() | C/RW | 33 | 750,000$ | 750,000$ | |||||||
Sebastian Aho ![]() | D | 26 | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||||
Steven Santini ![]() | D | 27 | 750,000$ | 750,000$ | |||||||
Thomas Chabot ![]() | D | 25 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||
Tomas Tatar ![]() | LW/RW | 31 | 4,500,000$ | 4,500,000$ | |||||||
Trevor Lewis ![]() | C/RW | 35 | 800,000$ | 800,000$ | |||||||
William Carrier ![]() | LW | 27 | 1,400,000$ | 1,400,000$ | 1,400,000$ |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 3 | 14 | 7 | 0 | 37 | 15 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 17 | 8 | 23 | 9 | 18 | 9 | 25.0% | 4.2% | 91.9% | 96.1 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 4 | 14 | 12 | 0 | 42 | 12 | 11 | 21 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 19 | 10 | 22 | 8 | 18 | 8 | 0.0% | 3.3% | 88.1% | 91.4 | Unlucky | |
3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | -2 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 3 | 2 | 71 | 13 | 20 | 37 | 6 | 71 | 21 | 16 | 31 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 39 | 22 | 49 | 19 | 35 | 16 | 41.7% | 8.5% | 88.7% | 97.2 | Unlucky | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 2 | 0 | 3 | 0 | 54 | 20 | 11 | 23 | 0 | 70 | 14 | 12 | 49 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 42 | 22 | 40 | 16 | 37 | 19 | 27.3% | 9.3% | 85.7% | 95.0 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 38 | 6 | 16 | 16 | 0 | 34 | 14 | 2 | 14 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 20 | 12 | 23 | 9 | 16 | 8 | 66.7% | 10.5% | 91.2% | 101.7 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 8 | 11 | 5 | 0 | 36 | 22 | 10 | 30 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 20 | 11 | 21 | 9 | 17 | 8 | 33.3% | 4.2% | 91.7% | 95.8 | DULL | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 2 | 9 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 2 | 4 | 5 | 0 | 70 | 12 | 29 | 29 | 0 | 66 | 27 | 2 | 33 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 41 | 24 | 42 | 18 | 35 | 18 | 83.3% | 15.7% | 97.0% | 112.7 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 1 | 0 | 36 | 16 | 12 | 8 | 0 | 30 | 5 | 4 | 28 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 23 | 15 | 20 | 8 | 16 | 7 | 66.7% | 11.1% | 96.7% | 107.8 | LUCKY | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 2 | 1 | 35 | 14 | 11 | 10 | 3 | 26 | 19 | 6 | 31 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 22 | 13 | 23 | 9 | 19 | 9 | 50.0% | 11.4% | 88.5% | 99.9 | FUN | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 11 | 20 | 0 | 0 | 3 | 4 | 2 | 0 | 59 | 15 | 21 | 23 | 0 | 63 | 26 | 18 | 55 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 43 | 24 | 40 | 17 | 36 | 19 | 50.0% | 15.3% | 87.3% | 102.6 | FUN | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 1 | 3 | 1 | 39 | 10 | 12 | 17 | 2 | 30 | 11 | 4 | 17 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 23 | 13 | 24 | 9 | 17 | 8 | 55.6% | 12.8% | 86.7% | 99.5 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 9 | 12 | 10 | 0 | 33 | 13 | 4 | 18 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 21 | 12 | 21 | 8 | 17 | 8 | 33.3% | 3.2% | 90.9% | 94.1 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 26 | 12 | 7 | 7 | 0 | 34 | 8 | 4 | 18 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 21 | 12 | 21 | 8 | 17 | 8 | 42.9% | 15.4% | 85.3% | 100.7 | FUN | |
14 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 1 | 3 | 1 | 65 | 19 | 19 | 25 | 2 | 61 | 31 | 29 | 38 | 3 | 1 | 33.33% | 8 | 1 | 87.50% | 1 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 42 | 24 | 43 | 18 | 34 | 16 | 44.4% | 7.7% | 90.2% | 97.9 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 0 | 4 | 0 | 28 | 6 | 2 | 20 | 0 | 22 | 9 | 9 | 26 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 20 | 10 | 21 | 9 | 18 | 9 | 60.0% | 17.9% | 86.4% | 104.2 | FUN | |
_Vs Division | 7 | 3 | 2 | 0 | 0 | 0 | 1 | 1 | 27 | 18 | 9 | 9 | 0.643 | 27 | 45 | 72 | 0 | 0 | 5 | 9 | 12 | 3 | 247 | 60 | 85 | 101 | 8 | 230 | 77 | 30 | 127 | 17 | 4 | 23.53% | 15 | 2 | 86.67% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 149 | 88 | 157 | 65 | 122 | 59 | 59.0% | 10.9% | 92.2% | 103.1 | LUCKY | |
_Vs Conference | 13 | 4 | 7 | 0 | 0 | 0 | 1 | 1 | 46 | 44 | 2 | 11 | 0.423 | 46 | 72 | 118 | 0 | 0 | 10 | 15 | 20 | 3 | 410 | 110 | 138 | 161 | 8 | 434 | 140 | 68 | 266 | 36 | 8 | 22.22% | 30 | 5 | 83.33% | 0 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 273 | 156 | 283 | 117 | 232 | 116 | 49.4% | 11.2% | 89.9% | 101.1 | FUN | |
_Since Last GM Reset | 20 | 6 | 10 | 0 | 1 | 0 | 2 | 1 | 66 | 67 | -1 | 19 | 0.475 | 66 | 104 | 170 | 0 | 0 | 11 | 19 | 33 | 5 | 630 | 167 | 211 | 249 | 13 | 655 | 247 | 135 | 426 | 54 | 13 | 24.07% | 52 | 9 | 82.69% | 1 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 419 | 237 | 438 | 182 | 357 | 176 | 47.7% | 10.5% | 89.8% | 100.2 | FUN | |
Total | 20 | 6 | 10 | 0 | 1 | 0 | 2 | 1 | 66 | 67 | -1 | 19 | 0.475 | 66 | 104 | 170 | 0 | 0 | 11 | 19 | 33 | 5 | 630 | 167 | 211 | 249 | 13 | 655 | 247 | 135 | 426 | 54 | 13 | 24.07% | 52 | 9 | 82.69% | 1 | 213 | 433 | 49.19% | 214 | 403 | 53.10% | 146 | 303 | 48.18% | 419 | 237 | 438 | 182 | 357 | 176 | 47.7% | 10.5% | 89.8% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 433 |
Neutral Zone Start | 303 |
Defensive Zone Start | 403 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 573 |
Faceoffs Lost | 566 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.4 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 31.4 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 52 |
---|---|
PP Goal | 13 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 5 |
Lost | 6 | 4 |
Overtime Lost | 1 | 0 |
PP Attempt | 54 |
---|---|
PP Goal | 13 |
PK Attempt | 52 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 32.8 |
Goals For | 3.3 |
Goals Against | 3.4 |
Hits | 21.3 |
Shots Blocked | 12.4 |
Pim | 6.8 |
Date | Matchup | Result | Detail | ||
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2023-10-08 | @ | Red Wings5,Devils2 | RECAP | ||
2023-10-09 | @ | Coyotes5,Devils1 | RECAP | ||
2023-10-12 | @ | Panthers5,Devils4 | RECAP | ||
2023-10-16 | @ | Devils1,Islanders2 | RECAP | ||
2023-10-20 | @ | Devils1,Canadiens3 | RECAP | ||
2023-10-21 | @ | Capitals1,Devils6 | RECAP | ||
2023-10-23 | @ | Sabres3,Devils8 | RECAP | ||
2023-10-25 | @ | Wild4,Devils2 | RECAP | ||
2023-10-29 | @ | Devils3,Wild2 (OT) | RECAP | ||
2023-10-30 | @ | Devils4,Blues3 | RECAP | ||
2023-11-01 | @ | Devils5,Blackhawks3 | RECAP | ||
2023-11-03 | @ | Devils1,Avalanche3 | RECAP | ||
2023-11-06 | @ | Capitals1,Devils5 | RECAP | ||
2023-11-10 | @ | Devils4,Jets3 (SO) | RECAP | ||
2023-11-12 | @ | Devils4,Penguins1 | RECAP | ||
2023-11-14 | @ | Rangers4,Devils5 (SO) | RECAP | ||
2023-11-18 | @ | Devils3,Red Wings5 | RECAP | ||
2023-11-20 | @ | Blue Jackets3,Devils1 | RECAP | ||
2023-11-21 | @ | Sabres5,Devils1 | RECAP | ||
2023-11-24 | @ | Islanders6,Devils5 (SO) | RECAP | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,650,000$ | 0$ | 79,650,000$ | 2,850,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Prudential Center | |
City | New Jersey | ||
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 | 62034 | 52722 | 21078 | 41472 | 10468 |
Attendance PCT | 93.99% | 95.86% | 95.81% | 94.25% | 95.16% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 17070 - 94.84% | 613,616$ | 6,749,772$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,650,000$ | 79,650,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
20,742,200$ | 79,650,000$ | 20,742,200$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,408,469$ | 142 | 414,844$ | 58,907,848$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
60,416,906$ | 79,650,000$ | -456,278,148$ | -498,286,585$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Priority | Type | Description |
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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. |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Albert Wikman | 2023 | 138 | |||
Cameron Morrison | 2016 | 35 | |||
Chris Bigras | |||||
Cole Brown | 2023 | 172 | |||
Colton Point | 2016 | 109 | |||
Colton Sceviour | Link | ||||
Devante Stephens | |||||
Gustav Karlsson | 2022 | 195 | |||
Jan Drozg | |||||
Jimmy Schuldt | |||||
Joe Hicketts | |||||
Joel Maatta | 2022 | 224 | |||
John Ludvig | 2019 | 82 | |||
Jonathan Davidsson | |||||
Kurtis Gabriel | Link | ||||
Milton Oscarson | 2023 | 173 | |||
Oiva Keskinen | 2023 | 205 | |||
Sean Couturier | Link | ||||
Tyson Hinds | 2021 | 66 | |||
Vitaly Abramov | Link |
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