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New Jersey Devils 27-23-6, 60pts · 9th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 59 | LW/RW | 100.00 | 71 | 65 | 80 | 73 | 80 | 87 | 84 | 72 | 55 | 74 | 71 | 67 | 73 | 72 | 70 | 56 | 75 | 0 | 29 | 6,300,000$/2yrs | |||
![]() | 24 | LW/RW | 100.00 | 71 | 35 | 93 | 77 | 76 | 84 | 86 | 68 | 57 | 70 | 65 | 71 | 69 | 71 | 73 | 68 | 75 | 0 | 28 | 1,000,000$/1yrs | |||
![]() | 74 | LW/RW | 100.00 | 77 | 36 | 95 | 80 | 79 | 87 | 89 | 76 | 60 | 73 | 79 | 66 | 77 | 66 | 73 | 83 | 75 | 0 | 25 | 6,200,000$/8yrs | |||
![]() | 91 | C | 100.00 | 63 | 34 | 93 | 75 | 69 | 84 | 83 | 73 | 62 | 74 | 71 | 64 | 75 | 63 | 67 | 86 | 75 | 0 | 23 | 3,250,000$/2yrs | |||
![]() | 29 | LW/RW | 100.00 | 69 | 39 | 93 | 66 | 93 | 80 | 83 | 65 | 57 | 60 | 64 | 76 | 63 | 65 | 66 | 67 | 75 | 0 | 25 | 1,050,000$/1yrs | |||
![]() | 61 | RW | 100.00 | 57 | 34 | 90 | 78 | 71 | 89 | 88 | 77 | 57 | 80 | 75 | 65 | 81 | 69 | 73 | 46 | 75 | 0 | 27 | 7,000,000$/6yrs | |||
![]() | 33 | C/LW/RW | 100.00 | 58 | 35 | 92 | 84 | 77 | 89 | 90 | 80 | 61 | 78 | 82 | 64 | 81 | 68 | 72 | 73 | 75 | 0 | 26 | 8,125,000$/7yrs | |||
![]() | 52 | RW | 100.00 | 74 | 41 | 79 | 70 | 83 | 88 | 89 | 73 | 64 | 66 | 71 | 65 | 72 | 62 | 64 | 81 | 75 | 0 | 23 | 863,333$/1yrs | |||
![]() | 11 | C | 100.00 | 77 | 38 | 85 | 68 | 90 | 86 | 90 | 67 | 87 | 69 | 66 | 86 | 65 | 90 | 94 | 43 | 75 | 0 | 36 | 2,900,000$/3yrs | |||
![]() | 13 | C/LW | 100.00 | 62 | 76 | 67 | 78 | 72 | 86 | 90 | 77 | 82 | 79 | 67 | 64 | 73 | 76 | 72 | 69 | 75 | 0 | 29 | 6,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 33 | 93 | 74 | 65 | 86 | 75 | 73 | 76 | 69 | 70 | 67 | 75 | 60 | 66 | 91 | 75 | 0 | 20 | 950,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 61 | 68 | 75 | 74 | 87 | 85 | 73 | 75 | 74 | 74 | 77 | 72 | 75 | 76 | 62 | 75 | 0 | 30 | 4,250,000$/3yrs | |||
![]() | 4 | D | 100.00 | 71 | 36 | 95 | 66 | 78 | 91 | 89 | 62 | 30 | 74 | 57 | 86 | 50 | 78 | 74 | 26 | 75 | 0 | 34 | 4,500,000$/2yrs | |||
![]() | 23 | D | 100.00 | 72 | 38 | 73 | 64 | 77 | 88 | 83 | 62 | 30 | 71 | 61 | 86 | 52 | 83 | 75 | 37 | 75 | 0 | 34 | 2,000,000$/1yrs | |||
![]() | 87 | D | 100.00 | 73 | 35 | 88 | 74 | 77 | 87 | 83 | 70 | 30 | 75 | 63 | 77 | 54 | 65 | 67 | 80 | 75 | 0 | 25 | 3,000,000$/2yrs | |||
![]() | 64 | D | 100.00 | 78 | 84 | 66 | 63 | 99 | 83 | 67 | 59 | 30 | 62 | 58 | 72 | 48 | 66 | 68 | 79 | 75 | 0 | 26 | 1,250,000$/2yrs | |||
![]() | 26 | D | 100.00 | 77 | 37 | 71 | 79 | 84 | 95 | 89 | 76 | 30 | 87 | 78 | 80 | 61 | 67 | 74 | 89 | 75 | 0 | 24 | 8,000,000$/5yrs | |||
![]() | 27 | D | 100.00 | 58 | 36 | 93 | 82 | 80 | 92 | 79 | 77 | 30 | 89 | 70 | 65 | 58 | 72 | 71 | 65 | 75 | 0 | 29 | 5,200,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 43 | C | 100.00 | 72 | 50 | 89 | 71 | 84 | 82 | 87 | 69 | 77 | 72 | 67 | 65 | 69 | 67 | 68 | 63 | 75 | 0 | 26 | 2,000,000$/1yrs | |||
![]() | 48 | D | 100.00 | 65 | 37 | 94 | 67 | 75 | 85 | 83 | 65 | 30 | 71 | 68 | 64 | 55 | 70 | 72 | 35 | 75 | 0 | 31 | 775,000$/1yrs | |||
![]() | 47 | D | 0.00 | 67 | 37 | 82 | 73 | 68 | 91 | 86 | 74 | 30 | 81 | 63 | 65 | 55 | 82 | 75 | 26 | 75 | 0 | 33 | 8,000,000$/2yrs | |||
![]() | 86 | D | 100.00 | 75 | 39 | 95 | 65 | 89 | 79 | 81 | 63 | 30 | 67 | 58 | 64 | 50 | 63 | 65 | 86 | 75 | 0 | 23 | 4,580,917$/2yrs | |||
TEAM AVERAGE | 95.45 | 69 | 43 | 85 | 73 | 79 | 87 | 85 | 71 | 52 | 73 | 68 | 71 | 65 | 70 | 72 | 64 | 75 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 60 | 100.00 | 85 | 80 | 76 | 86 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 66 | 75 | 64 | 75 | 0 | 26 | 766,667$/1yrs |
![]() | 1 | 98.50 | 97 | 92 | 87 | 77 | 96 | 95 | 97 | 96 | 95 | 97 | 96 | 73 | 83 | 56 | 75 | 0 | 29 | 5,000,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 67 | 100.00 | 85 | 81 | 76 | 87 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 72 | 86 | 47 | 75 | 0 | 33 | 825,000$/1yrs |
TEAM AVERAGE | 99.33 | 89 | 84 | 80 | 83 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 70 | 81 | 56 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Bowness | 86 | 95 | 87 | 88 | 99 | 96 | 38 | CAN | 69 | 1 | 3,000,000$ |
General Manager | Pierre-Luc Gilbert |
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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 | Jordan Kyrou | 33 | C/LW/RW | 56 | 18 | 34 | 52 | -4 | 12 | 0 | 33 | 186 | 58 | 149 | 9.68% | 7 | 19.25 | 4 | 8 | 12 | 188 | 0 | 1 | 1 | 61 | 3 | 3 | 44.01% | 1386 | 0 | 0 | 0 | 0 | 0.96 | 1 | 6 | ||
2 | Rasmus Dahlin | 26 | D | 56 | 9 | 35 | 44 | -3 | 64 | 0 | 131 | 122 | 38 | 91 | 7.38% | 93 | 24.29 | 4 | 10 | 14 | 189 | 0 | 1 | 1 | 144 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 3 | ||
3 | Ryan Hartman | 0 | LW/RW | 56 | 23 | 20 | 43 | 8 | 48 | 0 | 100 | 179 | 38 | 129 | 12.85% | 16 | 19.30 | 8 | 5 | 13 | 156 | 2 | 0 | 2 | 186 | 5 | 1 | 58.33% | 72 | 0 | 0 | 0 | 1 | 0.80 | 2 | 6 | ||
4 | Owen Tippett | 74 | LW/RW | 56 | 19 | 23 | 42 | -3 | 40 | 0 | 124 | 145 | 44 | 100 | 13.10% | 7 | 17.19 | 4 | 10 | 14 | 157 | 0 | 0 | 0 | 0 | 4 | 0 | 44.12% | 102 | 0 | 0 | 0 | 1 | 0.87 | 0 | 6 | ||
5 | Timothy Liljegren | 87 | D | 56 | 9 | 32 | 41 | 3 | 30 | 0 | 66 | 85 | 20 | 54 | 10.59% | 77 | 19.36 | 7 | 12 | 19 | 158 | 0 | 1 | 1 | 156 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
6 | Troy Terry | 61 | RW | 56 | 19 | 22 | 41 | 2 | 2 | 0 | 34 | 135 | 38 | 86 | 14.07% | 5 | 19.08 | 3 | 4 | 7 | 191 | 0 | 0 | 0 | 59 | 4 | 0 | 41.33% | 75 | 0 | 0 | 0 | 0 | 0.77 | 1 | 2 | ||
7 | Tyler Bertuzzi | 59 | LW/RW | 56 | 13 | 22 | 35 | 6 | 21 | 5 | 88 | 126 | 35 | 97 | 10.32% | 9 | 16.48 | 3 | 8 | 11 | 176 | 0 | 0 | 0 | 13 | 0 | 2 | 43.33% | 90 | 0 | 0 | 0 | 0 | 0.76 | 1 | 1 | ||
8 | Shea Theodore | 27 | D | 56 | 3 | 31 | 34 | -11 | 14 | 0 | 16 | 73 | 26 | 48 | 4.11% | 47 | 20.63 | 2 | 8 | 10 | 189 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
9 | Nick Jensen | 4 | D | 56 | 8 | 24 | 32 | 16 | 34 | 0 | 43 | 41 | 15 | 39 | 19.51% | 83 | 20.59 | 0 | 0 | 0 | 9 | 1 | 1 | 2 | 190 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
10 | Travis Hamonic | 23 | D | 56 | 11 | 18 | 29 | 4 | 50 | 0 | 145 | 70 | 28 | 56 | 15.71% | 80 | 21.61 | 4 | 8 | 12 | 164 | 0 | 1 | 1 | 175 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
11 | Jordan Staal | 11 | C | 56 | 11 | 14 | 25 | 9 | 30 | 0 | 63 | 93 | 30 | 58 | 11.83% | 16 | 12.53 | 3 | 6 | 9 | 65 | 0 | 1 | 1 | 203 | 0 | 0 | 54.93% | 1076 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
12 | Logan Cooley | 0 | C | 54 | 8 | 14 | 22 | 6 | 2 | 0 | 9 | 87 | 25 | 61 | 9.20% | 6 | 13.48 | 0 | 1 | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 1 | 49.62% | 917 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 | ||
13 | Max Domi | 13 | C/LW | 56 | 8 | 13 | 21 | -9 | 18 | 0 | 48 | 89 | 31 | 57 | 8.99% | 5 | 13.00 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 3 | 0 | 49.12% | 114 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
14 | Cole Perfetti | 91 | C | 51 | 8 | 11 | 19 | -4 | 8 | 0 | 15 | 73 | 28 | 74 | 10.96% | 6 | 14.96 | 3 | 3 | 6 | 94 | 1 | 0 | 1 | 66 | 1 | 0 | 44.01% | 902 | 0 | 0 | 0 | 0 | 0.50 | 0 | 1 | ||
15 | Tyson Foerster | 52 | RW | 56 | 8 | 6 | 14 | -9 | 34 | 0 | 66 | 70 | 17 | 42 | 11.43% | 7 | 12.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 42.22% | 45 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
16 | Kasperi Kapanen | 24 | LW/RW | 56 | 4 | 6 | 10 | 5 | 6 | 0 | 20 | 56 | 8 | 41 | 7.14% | 5 | 8.22 | 1 | 0 | 1 | 5 | 0 | 0 | 0 | 48 | 0 | 0 | 34.43% | 61 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
17 | Brett Leason | 29 | LW/RW | 49 | 3 | 3 | 6 | 8 | 8 | 0 | 19 | 30 | 6 | 33 | 10.00% | 6 | 8.35 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 65 | 0 | 1 | 34.62% | 26 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
18 | Logan Stanley | 64 | D | 17 | 1 | 3 | 4 | 3 | 26 | 0 | 41 | 6 | 3 | 2 | 16.67% | 17 | 14.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
19 | Philip Broberg | 86 | D | 26 | 0 | 4 | 4 | -4 | 8 | 0 | 25 | 10 | 2 | 4 | 0.00% | 20 | 13.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
20 | Calle Rosen | 48 | D | 13 | 0 | 2 | 2 | 0 | 12 | 0 | 10 | 5 | 1 | 2 | 0.00% | 9 | 14.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
21 | Morgan Geekie | 43 | C | 12 | 1 | 1 | 2 | -4 | 2 | 0 | 5 | 18 | 0 | 12 | 5.56% | 1 | 11.21 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 14 | 0 | 0 | 47.40% | 154 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
Team Total or Average | 1006 | 184 | 338 | 522 | 19 | 469 | 5 | 1101 | 1699 | 491 | 1235 | 10.83% | 522 | 16.38 | 46 | 83 | 129 | 1781 | 4 | 6 | 10 | 1448 | 25 | 9 | 47.57% | 5020 | 0 | 0 | 0 | 2 | 0.63 | 5 | 26 |
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 | Igor Shesterkin | Devils | 47 | 23 | 16 | 5 | 0.898 | 3.20 | 2662 | 4 | 2 | 142 | 1386 | 0 | 0 | 1 | 0.733 | 15 | 45 | 11 | 2 | 2 | 0 |
2 | Joseph Woll | Devils | 14 | 4 | 6 | 1 | 0.898 | 3.57 | 672 | 0 | 1 | 40 | 391 | 0 | 0 | 0 | 0.727 | 11 | 10 | 38 | 0 | 2 | 1 |
Team Total or Average | 61 | 27 | 22 | 6 | 0.898 | 3.27 | 3335 | 4 | 3 | 182 | 1777 | 0 | 0 | 1 | 0.731 | 26 | 55 | 49 | 2 | 4 | 1 |
Projected Total Cap Hit | 87,442,593$ |
Projected Cap Space | 557,407$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 56,379,966$ |
Players In Salary Cap | 29 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brett Leason | LW/RW | 25 | 1,050,000$ | 1,050,000$ | RFA | ||||||
Calle Rosen ![]() | D/G | 31 | 775,000$ | 775,000$ | |||||||
Cole Perfetti ![]() | C | 23 | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||||
Igor Shesterkin ![]() | C/G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Jordan Kyrou ![]() | C/LW/RW | 26 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | UFA |
Jordan Staal ![]() | C | 36 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||||
Joseph Woll ![]() | D/G | 26 | 766,667$ | 766,667$ | |||||||
Kasperi Kapanen | LW/RW | 28 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Logan Cooley ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | ||||||
Logan Stanley | D | 26 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Max Domi | C/LW | 29 | 6,000,000$ | 6,000,000$ | |||||||
Morgan Geekie | C | 26 | 2,000,000$ | 2,000,000$ | RFA | ||||||
Nick Jensen | D/G | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Owen Tippett | LW/RW | 25 | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ | 6,200,000$ |
Pheonix Copley | C/LW/G | 33 | 825,000$ | 825,000$ | RFA | ||||||
Philip Broberg ![]() | D | 23 | 4,580,917$ | 4,580,917$ | 4,580,917$ | RFA | |||||
Rasmus Dahlin | D | 24 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | RFA | ||
Ryan Hartman ![]() | LW/RW | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | |||||
Shea Theodore | D | 29 | 5,200,000$ | 5,200,000$ | RFA | ||||||
Timothy Liljegren | D | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | RFA | |||||
Torey Krug ![]() ![]() | D | 33 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Travis Hamonic ![]() | D | 34 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Troy Terry ![]() | RW | 27 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||
Tyler Bertuzzi | LW/RW/G | 29 | 6,300,000$ | 6,300,000$ | 6,300,000$ | ||||||
Tyson Foerster ![]() | RW | 23 | 863,333$ | 863,333$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 1 | 0 | 2 | 0 | 28 | 13 | 7 | 8 | 0 | 30 | 10 | 4 | 17 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 23 | 16 | 24 | 7 | 11 | 5 | 100.0% | 10.7% | 100.0% | 110.7 | LUCKY | |
2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 27 | 4 | 8 | 13 | 7 | 39 | 17 | 10 | 22 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 22 | 14 | 27 | 7 | 14 | 7 | 80.0% | 14.8% | 92.3% | 107.1 | LUCKY | |
3 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 13 | 9 | 4 | 5 | 0.833 | 13 | 22 | 35 | 0 | 0 | 6 | 1 | 5 | 1 | 91 | 30 | 25 | 33 | 6 | 86 | 22 | 26 | 72 | 7 | 2 | 28.57% | 12 | 2 | 83.33% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 75 | 52 | 71 | 22 | 39 | 20 | 61.1% | 14.3% | 89.5% | 103.8 | FUN | |
4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 32 | 23 | 3 | 6 | 0 | 20 | 8 | 6 | 23 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 27 | 19 | 21 | 7 | 11 | 5 | 40.0% | 9.4% | 80.0% | 89.4 | FUN | |
5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 3 | 7 | 1 | 0 | 92 | 25 | 41 | 26 | 0 | 83 | 26 | 26 | 63 | 8 | 3 | 37.50% | 13 | 2 | 84.62% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 68 | 45 | 71 | 23 | 40 | 19 | 57.1% | 12.0% | 90.4% | 102.3 | FUN | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 30 | 12 | 11 | 7 | 0 | 15 | 3 | 4 | 12 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 26 | 19 | 20 | 6 | 12 | 6 | 60.0% | 10.0% | 86.7% | 96.7 | FUN | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 40 | 12 | 10 | 18 | 0 | 66 | 19 | 20 | 21 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 43 | 29 | 51 | 15 | 25 | 11 | 62.5% | 15.0% | 93.9% | 108.9 | LUCKY | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 52 | 20 | 15 | 17 | 0 | 76 | 32 | 18 | 47 | 2 | 1 | 50.00% | 9 | 1 | 88.89% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 39 | 25 | 54 | 14 | 26 | 12 | 12.5% | 3.8% | 89.5% | 93.3 | Unlucky | |
9 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 12 | 5 | 4 | 0.500 | 17 | 32 | 49 | 0 | 1 | 7 | 4 | 6 | 0 | 120 | 43 | 39 | 38 | 0 | 121 | 33 | 28 | 85 | 15 | 3 | 20.00% | 14 | 3 | 78.57% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 94 | 63 | 92 | 31 | 53 | 27 | 60.9% | 14.2% | 90.1% | 104.2 | FUN | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 0 | 3 | 3 | 0 | 57 | 15 | 24 | 18 | 0 | 76 | 19 | 10 | 36 | 8 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 46 | 32 | 47 | 13 | 25 | 13 | 42.9% | 10.5% | 89.5% | 100.0 | FUN | |
11 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 16 | -8 | 0 | 0.000 | 8 | 16 | 24 | 0 | 0 | 3 | 4 | 1 | 0 | 83 | 27 | 32 | 24 | 0 | 129 | 26 | 28 | 54 | 11 | 2 | 18.18% | 14 | 5 | 64.29% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 72 | 49 | 71 | 23 | 36 | 17 | 35.3% | 9.6% | 87.6% | 97.2 | FUN | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 1 | 37 | 14 | 9 | 12 | 6 | 41 | 12 | 14 | 17 | 4 | 0 | 0.00% | 7 | 0 | 100.00% | 1 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 23 | 15 | 28 | 8 | 13 | 6 | 44.4% | 10.8% | 87.8% | 98.6 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 35 | 10 | 16 | 9 | 0 | 36 | 8 | 8 | 23 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 25 | 17 | 21 | 7 | 13 | 6 | 16.7% | 5.7% | 83.3% | 89.0 | Unlucky | |
14 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 12 | 1 | 6 | 0.750 | 13 | 24 | 37 | 0 | 0 | 5 | 3 | 4 | 1 | 106 | 45 | 23 | 35 | 3 | 145 | 44 | 32 | 82 | 14 | 5 | 35.71% | 16 | 3 | 81.25% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 95 | 66 | 98 | 28 | 49 | 24 | 47.1% | 12.3% | 91.7% | 104.0 | LUCKY | |
15 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 7 | 3 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 2 | 3 | 4 | 2 | 62 | 13 | 21 | 23 | 13 | 68 | 17 | 16 | 38 | 10 | 4 | 40.00% | 8 | 3 | 62.50% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 48 | 33 | 49 | 14 | 26 | 13 | 60.0% | 16.1% | 89.7% | 105.8 | FUN | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 2 | 3 | 2 | 0 | 47 | 13 | 16 | 18 | 0 | 65 | 22 | 26 | 41 | 7 | 0 | 0.00% | 12 | 5 | 58.33% | 1 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 49 | 32 | 45 | 14 | 25 | 13 | 77.8% | 14.9% | 89.2% | 104.1 | FUN | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 28 | 11 | 10 | 7 | 0 | 26 | 8 | 6 | 15 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 22 | 14 | 23 | 7 | 13 | 6 | 80.0% | 14.3% | 96.2% | 110.4 | LUCKY | |
18 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 4 | 2 | 2 | 0 | 69 | 19 | 29 | 21 | 3 | 75 | 24 | 18 | 23 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 49 | 33 | 49 | 15 | 25 | 12 | 50.0% | 11.6% | 90.7% | 102.3 | FUN | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 33 | 12 | 11 | 10 | 0 | 21 | 3 | 6 | 22 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 20 | 13 | 25 | 9 | 14 | 6 | 40.0% | 12.1% | 85.7% | 97.8 | FUN | |
20 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 89 | 29 | 35 | 25 | 0 | 96 | 23 | 26 | 57 | 21 | 2 | 9.52% | 13 | 5 | 61.54% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 71 | 49 | 70 | 22 | 38 | 19 | 33.3% | 7.9% | 84.4% | 92.2 | Unlucky | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 41 | 16 | 12 | 13 | 0 | 35 | 14 | 4 | 28 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 24 | 17 | 23 | 7 | 12 | 5 | 50.0% | 7.3% | 94.3% | 101.6 | DULL | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 61 | 16 | 27 | 18 | 0 | 73 | 15 | 14 | 35 | 8 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 48 | 33 | 45 | 13 | 25 | 14 | 42.9% | 4.9% | 90.4% | 95.3 | Unlucky | |
23 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 6 | 3 | 5 | 0.833 | 9 | 17 | 26 | 0 | 0 | 5 | 1 | 3 | 1 | 112 | 31 | 34 | 45 | 5 | 98 | 27 | 29 | 59 | 14 | 3 | 21.43% | 11 | 0 | 100.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 70 | 50 | 75 | 22 | 38 | 18 | 50.0% | 8.0% | 93.9% | 101.9 | DULL | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 3 | 2 | 0 | 74 | 21 | 27 | 26 | 0 | 55 | 20 | 20 | 42 | 11 | 5 | 45.45% | 9 | 4 | 55.56% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 41 | 27 | 50 | 15 | 27 | 13 | 50.0% | 10.8% | 87.3% | 98.1 | FUN | |
25 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 10 | 8 | 4 | 0.667 | 18 | 31 | 49 | 0 | 1 | 9 | 2 | 7 | 0 | 101 | 37 | 30 | 34 | 0 | 90 | 23 | 30 | 60 | 11 | 2 | 18.18% | 13 | 3 | 76.92% | 1 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 68 | 46 | 71 | 23 | 39 | 19 | 69.6% | 17.8% | 88.9% | 106.7 | FUN | |
26 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 10 | -6 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 43 | 19 | 14 | 7 | 3 | 72 | 23 | 22 | 43 | 6 | 1 | 16.67% | 11 | 5 | 54.55% | 1 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 44 | 29 | 50 | 14 | 26 | 13 | 37.5% | 9.3% | 86.1% | 95.4 | FUN | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 1 | 2 | 0 | 45 | 22 | 11 | 12 | 0 | 28 | 5 | 12 | 21 | 5 | 3 | 60.00% | 5 | 1 | 80.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 23 | 15 | 23 | 7 | 12 | 5 | 0.0% | 6.7% | 82.1% | 88.8 | Unlucky | |
28 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 4 | 0 | 0 | 0 | 66 | 24 | 18 | 24 | 0 | 53 | 20 | 10 | 44 | 7 | 1 | 14.29% | 4 | 2 | 50.00% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 48 | 33 | 46 | 13 | 25 | 13 | 33.3% | 6.1% | 84.9% | 91.0 | Unlucky | |
_Vs Division | 19 | 11 | 5 | 0 | 1 | 0 | 0 | 2 | 68 | 52 | 16 | 26 | 0.684 | 68 | 125 | 193 | 0 | 1 | 27 | 21 | 19 | 2 | 572 | 187 | 187 | 193 | 11 | 609 | 176 | 159 | 355 | 71 | 19 | 26.76% | 74 | 10 | 86.49% | 0 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 442 | 301 | 464 | 145 | 247 | 119 | 53.8% | 11.9% | 91.5% | 103.3 | LUCKY | |
_Vs Conference | 38 | 18 | 15 | 0 | 2 | 0 | 0 | 3 | 135 | 123 | 12 | 43 | 0.566 | 135 | 243 | 378 | 0 | 3 | 55 | 36 | 42 | 3 | 1146 | 373 | 386 | 379 | 17 | 1233 | 337 | 333 | 733 | 151 | 33 | 21.85% | 155 | 37 | 76.13% | 2 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 892 | 610 | 915 | 287 | 491 | 243 | 54.3% | 11.8% | 90.0% | 101.8 | FUN | |
_Since Last GM Reset | 56 | 23 | 23 | 0 | 2 | 2 | 2 | 4 | 187 | 192 | -5 | 60 | 0.536 | 187 | 338 | 525 | 1 | 3 | 71 | 52 | 60 | 7 | 1701 | 576 | 558 | 547 | 46 | 1818 | 523 | 473 | 1102 | 218 | 46 | 21.10% | 221 | 53 | 76.02% | 4 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 1318 | 901 | 1353 | 420 | 724 | 360 | 50.4% | 11.0% | 89.4% | 100.4 | FUN | |
Total | 56 | 23 | 23 | 0 | 2 | 2 | 2 | 4 | 187 | 192 | -5 | 60 | 0.536 | 187 | 338 | 525 | 1 | 3 | 71 | 52 | 60 | 7 | 1701 | 576 | 558 | 547 | 46 | 1818 | 523 | 473 | 1102 | 218 | 46 | 21.10% | 221 | 53 | 76.02% | 4 | 898 | 1936 | 46.38% | 1026 | 2098 | 48.90% | 464 | 928 | 50.00% | 1318 | 901 | 1353 | 420 | 724 | 360 | 50.4% | 11.0% | 89.4% | 100.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1936 |
Neutral Zone Start | 928 |
Defensive Zone Start | 2098 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2388 |
Faceoffs Lost | 2574 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 136 |
---|---|
PP Goal | 46 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 15 | 12 |
Lost | 11 | 12 |
Overtime Lost | 2 | 4 |
PP Attempt | 218 |
---|---|
PP Goal | 46 |
PK Attempt | 221 |
PK Goal Against | 53 |
Home | |
---|---|
Shots For | 30.4 |
Shots Against | 32.5 |
Goals For | 3.3 |
Goals Against | 3.4 |
Hits | 19.7 |
Shots Blocked | 9.3 |
Pim | 8.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-04 | @ | Devils3,Sabres5 | RECAP | |||||||||||
2024-10-05 | @ | Sabres8,Devils4 | RECAP | |||||||||||
2024-10-10 | @ | Maple Leafs1,Devils5 | RECAP | |||||||||||
2024-10-12 | @ | Devils5,Capitals6 | RECAP | |||||||||||
2024-10-14 | @ | Hockey Club2,Devils3 | RECAP | |||||||||||
2024-10-15 | @ | Devils4,Hurricanes2 | RECAP | |||||||||||
2024-10-17 | @ | Devils2,Senators4 | RECAP | |||||||||||
2024-10-19 | @ | Capitals2,Devils6 | RECAP | |||||||||||
2024-10-22 | @ | Lightning4,Devils8 | RECAP | |||||||||||
2024-10-24 | @ | Devils1,Red Wings5 | RECAP | |||||||||||
2024-10-25 | @ | Islanders2,Devils4 | RECAP | |||||||||||
2024-10-27 | @ | Ducks6,Devils3 | RECAP | |||||||||||
2024-10-30 | @ | Devils3,Canucks4 (OT) | RECAP | |||||||||||
2024-11-01 | @ | Devils4,Flames5 (SO) | RECAP | |||||||||||
2024-11-04 | @ | Devils4,Oilers1 | RECAP | |||||||||||
2024-11-07 | @ | Canadiens4,Devils2 | RECAP | |||||||||||
2024-11-09 | @ | Devils4,Islanders5 (SO) | RECAP | |||||||||||
2024-11-10 | @ | Sharks3,Devils2 (OT) | RECAP | |||||||||||
2024-11-12 | @ | Devils1,Panthers7 | RECAP | |||||||||||
2024-11-14 | @ | Devils2,Panthers6 | RECAP | |||||||||||
2024-11-16 | @ | Devils4,Lightning6 | RECAP | |||||||||||
2024-11-21 | @ | Hurricanes3,Devils4 (OT) | RECAP | |||||||||||
2024-11-23 | @ | Devils4,Capitals0 | RECAP | |||||||||||
2024-11-25 | @ | Predators2,Devils3 | RECAP | |||||||||||
2024-11-27 | @ | Blues4,Devils2 | RECAP | |||||||||||
2024-11-29 | @ | Devils7,Red Wings2 | RECAP | |||||||||||
2024-11-30 | @ | Capitals4,Devils2 | RECAP | |||||||||||
2024-12-02 | @ | Devils5,Rangers2 | RECAP | |||||||||||
2024-12-06 | @ | Kraken3,Devils1 | RECAP | |||||||||||
2024-12-08 | @ | Avalanche3,Devils4 (SO) | RECAP | |||||||||||
2024-12-10 | @ | Maple Leafs6,Devils5 (SO) | RECAP | |||||||||||
2024-12-12 | @ | Kings3,Devils5 | RECAP | |||||||||||
2024-12-14 | @ | Blackhawks6,Devils2 | RECAP | |||||||||||
2024-12-17 | @ | Devils0,Blues4 | RECAP | |||||||||||
2024-12-19 | @ | Devils4,Blue Jackets3 | RECAP | |||||||||||
2024-12-21 | @ | Penguins1,Devils5 | RECAP | |||||||||||
2024-12-23 | @ | Rangers1,Devils2 | RECAP | |||||||||||
2024-12-27 | @ | Hurricanes5,Devils2 | RECAP | |||||||||||
2024-12-28 | @ | Devils3,Hurricanes2 | RECAP | |||||||||||
2024-12-31 | @ | Devils3,Ducks2 | RECAP | |||||||||||
2025-01-01 | @ | Devils5,Kings4 (SO) | RECAP | |||||||||||
2025-01-04 | @ | Devils2,Sharks7 | RECAP | |||||||||||
2025-01-06 | @ | Devils3,Kraken5 | RECAP | |||||||||||
2025-01-09 | @ | Devils2,Rangers3 (SO) | RECAP | |||||||||||
2025-01-11 | @ | Lightning0,Devils6 | RECAP | |||||||||||
2025-01-14 | @ | Panthers2,Devils4 | RECAP | |||||||||||
2025-01-16 | @ | Devils3,Maple Leafs2 (OT) | RECAP | |||||||||||
2025-01-18 | @ | Flyers1,Devils4 | RECAP | |||||||||||
2025-01-19 | @ | Senators3,Devils1 | RECAP | |||||||||||
2025-01-22 | @ | Bruins0,Devils3 | RECAP | |||||||||||
2025-01-25 | @ | Devils5,Canadiens3 | RECAP | |||||||||||
2025-01-27 | @ | Devils5,Flyers3 | RECAP | |||||||||||
2025-01-29 | @ | Flyers4,Devils2 | RECAP | |||||||||||
2025-02-02 | @ | Devils1,Sabres3 | RECAP | |||||||||||
2025-02-04 | @ | Devils1,Penguins3 | RECAP | |||||||||||
2025-02-06 | @ | Golden Knights5,Devils3 | RECAP | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
92,880,917$ | 0$ | 87,442,593$ | 557,407$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Prudential Center | |
City | New Jersey | ||
Capacity | 17625 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 3625 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 134441 | 114750 | 54497 | 88493 | 25771 |
Attendance PCT | 80.02% | 81.96% | 97.32% | 87.19% | 92.04% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
13 | 14927 - 84.69% | 1,872,600$ | 52,432,811$ | 17625 | 85 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
92,880,917$ | 88,235,920$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
61,386,554$ | 450,183$ | 56,379,966$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
24,343,805$ | 69 | 489,188$ | 33,753,972$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,421,188$ | 87,442,593$ | 107,421,217$ | 98,758,038$ |
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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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aidan Park | 2024 | 174 | |||
Anthony Cristoforo | 2024 | 206 | |||
Austin Burnevik | 2023 | 190 | |||
Beau Jelsma | 2022 | 140 | |||
Damian Clara | 2023 | 126 | |||
Devin Kaplan | 2022 | 60 | |||
Dmitri Zlodeyev | 2020 | 123 | |||
Evan Gardner | 2024 | 142 | |||
Jake Karabela | 2022 | 108 | |||
Kalan Lind | 2023 | 42 | ELC 2024-25 | Link | |
Kasper Larsen | 2022 | 161 | |||
Kirill Gerasimyuk | 2021 | 167 | |||
Lukas Matecha | 2023 | 173 | |||
Michael Hage | 2024 | 14 | |||
Nate Benoit | 2021 | 199 | |||
Noel Fransen | 2024 | 78 | |||
Owen Outwater | 2023 | 222 | |||
Samuel Fiala | 2023 | 158 | |||
Thomas Desruisseaux | 2024 | 110 | |||
Ty Murchison | 2021 | 172 | |||
Tyson Jugnauth | 2022 | 129 |
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