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Full Scoreboard »» |
New Jersey Devils 28-34-6, 62pts · 12th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 74 | 36 | 90 | 74 | 81 | 87 | 79 | 73 | 86 | 75 | 75 | 77 | 74 | 85 | 99 | 0 | 37 | 86 | 36 | 8,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 56 | 32 | 99 | 80 | 70 | 90 | 90 | 77 | 96 | 67 | 85 | 76 | 81 | 69 | 80 | 0 | 37 | 85 | 26 | 7,250,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 33 | 95 | 73 | 77 | 83 | 90 | 72 | 58 | 72 | 80 | 61 | 76 | 74 | 73 | 0 | 37 | 83 | 29 | 4,250,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 32 | 93 | 69 | 69 | 82 | 90 | 71 | 58 | 72 | 71 | 62 | 71 | 74 | 74 | 0 | 37 | 80 | 29 | 4,750,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 36 | 67 | 70 | 75 | 82 | 90 | 71 | 58 | 72 | 72 | 57 | 71 | 74 | 70 | 0 | 37 | 79 | 29 | 4,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 68 | 33 | 88 | 73 | 78 | 82 | 73 | 69 | 77 | 69 | 71 | 61 | 70 | 58 | 56 | 0 | 37 | 78 | 20 | 950,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 82 | 34 | 83 | 61 | 86 | 75 | 80 | 64 | 59 | 59 | 70 | 59 | 67 | 75 | 73 | 0 | 39 | 75 | 30 | 2,000,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 95 | 65 | 68 | 75 | 73 | 62 | 58 | 68 | 60 | 63 | 61 | 67 | 66 | 0 | 37 | 74 | 25 | 775,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 37 | 81 | 56 | 80 | 77 | 86 | 60 | 60 | 62 | 61 | 69 | 60 | 78 | 76 | 0 | 50 | 73 | 32 | 1,450,000$/3yrs | |||
![]() | 11 | LW | 100.00 | 91 | 70 | 50 | 55 | 83 | 73 | 85 | 58 | 58 | 60 | 57 | 63 | 57 | 75 | 70 | 0 | 39 | 71 | 30 | 1,250,000$/2yrs | |||
![]() | 19 | LW/RW | 100.00 | 67 | 38 | 83 | 55 | 75 | 67 | 77 | 63 | 66 | 57 | 55 | 67 | 56 | 70 | 68 | 0 | 28 | 70 | 28 | 1,250,000$/2yrs | |||
![]() | 29 | LW/RW | 100.00 | 72 | 33 | 77 | 55 | 81 | 70 | 66 | 52 | 30 | 61 | 50 | 57 | 51 | 63 | 61 | 0 | 41 | 67 | 24 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 34 | 76 | 77 | 94 | 92 | 81 | 64 | 30 | 81 | 74 | 53 | 69 | 78 | 84 | 0 | 40 | 85 | 31 | 8,000,000$/6yrs | |||
![]() | 0 | D | 100.00 | 64 | 34 | 80 | 68 | 72 | 90 | 87 | 66 | 30 | 74 | 60 | 69 | 63 | 81 | 79 | 0 | 37 | 81 | 33 | 6,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 64 | 38 | 74 | 69 | 76 | 91 | 88 | 63 | 30 | 73 | 63 | 67 | 63 | 68 | 66 | 0 | 37 | 79 | 26 | 6,000,000$/8yrs | |||
![]() | 0 | D | 100.00 | 68 | 34 | 86 | 58 | 90 | 87 | 88 | 59 | 30 | 63 | 59 | 71 | 59 | 74 | 73 | 0 | 37 | 75 | 29 | 5,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 76 | 65 | 67 | 83 | 86 | 61 | 30 | 69 | 55 | 59 | 58 | 65 | 63 | 0 | 33 | 75 | 24 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 70 | 32 | 81 | 55 | 74 | 84 | 86 | 57 | 30 | 60 | 55 | 70 | 56 | 68 | 66 | 0 | 37 | 72 | 26 | 2,500,000$/5yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 78 | 53 | 50 | 70 | 84 | 89 | 60 | 70 | 82 | 62 | 62 | 69 | 89 | 78 | 92 | 0 | 20 | 78 | 32 | 7,000,000$/5yrs | |||
TEAM AVERAGE | 100.00 | 69 | 37 | 80 | 66 | 78 | 82 | 82 | 65 | 54 | 67 | 65 | 65 | 66 | 72 | 73 | 0 | 37 | 77 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 81 | 77 | 73 | 83 | 79 | 70 | 80 | 81 | 79 | 81 | 80 | 86 | 90 | 0 | 49 | 83 | 36 | 2,750,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 95.00 | 76 | 81 | 75 | 88 | 80 | 74 | 81 | 83 | 80 | 83 | 81 | 72 | 76 | 0 | 20 | 84 | 28 | 2,600,000$/2yrs |
![]() | 0 | 100.00 | 69 | 60 | 67 | 79 | 67 | 75 | 70 | 69 | 75 | 74 | 71 | 65 | 69 | 0 | 22 | 75 | 25 | 775,000$/1yrs |
TEAM AVERAGE | 98.33 | 75 | 73 | 72 | 83 | 75 | 73 | 77 | 78 | 78 | 79 | 77 | 74 | 78 | 0 | 30 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Deboer | 77 | 92 | 95 | 96 | 99 | 91 | 87 | CAN | 68 | 5 | 1,000,000$ |
General Manager | David Plouffe |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nico Hischier | 0 | C | 68 | 36 | 38 | 74 | -1 | 0 | 0 | 26 | 334 | 85 | 216 | 10.78% | 25 | 19.15 | 10 | 14 | 24 | 239 | 2 | 0 | 2 | 64 | 8 | 3 | 53.94% | 1791 | 0 | 0 | 0 | 0 | 1.14 | 0 | 5 | |
2 | Logan Couture | 0 | C | 68 | 24 | 23 | 47 | -3 | 24 | 0 | 66 | 233 | 64 | 154 | 10.30% | 28 | 18.49 | 4 | 10 | 14 | 203 | 2 | 0 | 2 | 126 | 2 | 3 | 54.02% | 1653 | 0 | 0 | 0 | 1 | 0.75 | 2 | 5 | |
3 | Michael Bunting | 0 | LW/RW | 68 | 19 | 26 | 45 | -2 | 52 | 0 | 171 | 164 | 54 | 112 | 11.59% | 16 | 19.75 | 3 | 12 | 15 | 239 | 0 | 0 | 0 | 116 | 4 | 1 | 37.50% | 104 | 0 | 0 | 0 | 0 | 0.67 | 0 | 2 | |
4 | Sean Durzi | 0 | D | 68 | 5 | 39 | 44 | -19 | 66 | 0 | 129 | 95 | 37 | 69 | 5.26% | 75 | 22.28 | 5 | 15 | 20 | 239 | 0 | 1 | 1 | 172 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
5 | Oliver Bjorkstrand | 0 | LW/RW | 68 | 19 | 24 | 43 | 5 | 18 | 0 | 70 | 174 | 61 | 129 | 10.92% | 13 | 19.40 | 7 | 3 | 10 | 239 | 0 | 2 | 2 | 93 | 3 | 2 | 37.37% | 190 | 0 | 0 | 0 | 0 | 0.65 | 1 | 1 | |
6 | Torey Krug | 0 | D | 68 | 7 | 31 | 38 | -4 | 58 | 0 | 100 | 97 | 28 | 55 | 7.22% | 142 | 23.07 | 5 | 6 | 11 | 204 | 0 | 1 | 1 | 221 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
7 | Dougie Hamilton | 0 | D | 68 | 6 | 26 | 32 | -5 | 79 | 5 | 127 | 85 | 36 | 43 | 7.06% | 78 | 23.59 | 3 | 9 | 12 | 232 | 0 | 0 | 0 | 225 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
8 | Adam Fantilli | 0 | C | 68 | 15 | 17 | 32 | -18 | 12 | 0 | 42 | 169 | 56 | 138 | 8.88% | 14 | 16.20 | 4 | 10 | 14 | 205 | 0 | 0 | 0 | 0 | 2 | 0 | 47.62% | 1050 | 0 | 0 | 0 | 0 | 0.58 | 1 | 1 | |
9 | Ivan Barbashev | 0 | C/LW/RW | 68 | 15 | 13 | 28 | -10 | 24 | 0 | 121 | 151 | 52 | 96 | 9.93% | 4 | 16.30 | 3 | 3 | 6 | 203 | 0 | 0 | 0 | 9 | 4 | 1 | 45.45% | 88 | 0 | 0 | 0 | 0 | 0.51 | 0 | 3 | |
10 | Dante Fabbro | 0 | D | 68 | 5 | 13 | 18 | -15 | 60 | 0 | 102 | 69 | 24 | 33 | 7.25% | 65 | 16.84 | 2 | 3 | 5 | 206 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
11 | Ryan Graves | 0 | D | 68 | 1 | 15 | 16 | -18 | 38 | 0 | 95 | 44 | 18 | 23 | 2.27% | 121 | 19.81 | 0 | 0 | 0 | 11 | 0 | 3 | 3 | 218 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
12 | William Carrier | 0 | LW | 68 | 8 | 7 | 15 | -16 | 62 | 10 | 136 | 92 | 27 | 76 | 8.70% | 12 | 13.40 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 2 | 1 | 44.26% | 61 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
13 | Valtteri Puustinen | 0 | LW/RW | 68 | 3 | 11 | 14 | -18 | 8 | 0 | 19 | 110 | 26 | 72 | 2.73% | 9 | 12.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 55 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
14 | Mattias Janmark | 0 | C/LW | 69 | 6 | 4 | 10 | -11 | 16 | 10 | 2 | 44 | 20 | 43 | 13.64% | 3 | 8.13 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 52 | 1 | 0 | 42.45% | 629 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
15 | Calen Addison | 0 | D | 68 | 2 | 8 | 10 | -15 | 53 | 5 | 56 | 17 | 10 | 9 | 11.76% | 54 | 14.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
16 | Gabriel Landeskog | 0 | C/LW/RW | 51 | 2 | 5 | 7 | -9 | 16 | 0 | 39 | 62 | 18 | 40 | 3.23% | 6 | 6.15 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 19 | 0 | 0 | 57.69% | 26 | 0 | 0 | 0 | 0 | 0.45 | 1 | 1 | |
17 | Justin Kirkland | 19 | LW/RW | 16 | 0 | 2 | 2 | -4 | 5 | 5 | 3 | 7 | 2 | 12 | 0.00% | 2 | 7.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
18 | Liam O'Brien | 11 | LW | 41 | 1 | 1 | 2 | -9 | 43 | 5 | 47 | 18 | 10 | 12 | 5.56% | 1 | 5.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 10 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
19 | Sam Poulin | 29 | LW/RW | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 0 | 2 | 1 | 1 | 0.00% | 1 | 7.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1133 | 174 | 303 | 477 | -175 | 634 | 40 | 1351 | 1967 | 629 | 1333 | 8.85% | 669 | 16.47 | 46 | 85 | 131 | 2233 | 4 | 7 | 11 | 1407 | 27 | 11 | 50.27% | 5667 | 0 | 0 | 0 | 1 | 0.51 | 5 | 18 |
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 | Adin Hill | 48 | 17 | 25 | 5 | 0.902 | 3.36 | 2718 | 10 | 2 | 152 | 1556 | 0 | 0 | 0 | 0.444 | 9 | 47 | 14 | 5 | 4 | 0 | |
2 | Semyon Varlamov | 26 | 11 | 9 | 1 | 0.912 | 2.90 | 1385 | 2 | 0 | 67 | 758 | 0 | 1 | 1 | 0.444 | 9 | 21 | 47 | 3 | 0 | 1 | |
Team Total or Average | 74 | 28 | 34 | 6 | 0.905 | 3.20 | 4104 | 12 | 2 | 219 | 2314 | 0 | 1 | 1 | 0.444 | 18 | 68 | 61 | 8 | 4 | 1 |
Projected Total Cap Hit | 79,991,137$ |
Projected Cap Space | 8,008,863$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 67,040,129$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Devils Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fantilli ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Adin Hill | G | 28 | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | |||||
Calen Addison ![]() | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Dante Fabbro ![]() | D | 26 | 2,500,000$ | 2,500,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||
Dougie Hamilton ![]() | D | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |
Gabriel Landeskog ![]() | C/LW/RW | 32 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Ivan Barbashev ![]() | C/LW/RW | 29 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | ||||
Justin Kirkland ![]() | LW/RW | 28 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Liam O'Brien ![]() | LW | 30 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Logan Couture ![]() | C | 36 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Mattias Janmark ![]() | C/LW | 32 | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | UFA | ||||
Michael Bunting ![]() | LW/RW | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Nico Hischier ![]() | C | 26 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | ||||
Oliver Bjorkstrand ![]() | LW/RW | 29 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Ryan Fanti ![]() | G | 25 | 775,000$ | 775,000$ | |||||||
Ryan Graves ![]() | D | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Sam Poulin ![]() | LW/RW | 24 | 775,000$ | 775,000$ | 775,000$ | ||||||
Sean Durzi ![]() | D | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ |
Semyon Varlamov | G | 36 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Torey Krug ![]() | D | 33 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Valtteri Puustinen ![]() | LW/RW | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
William Carrier ![]() | LW | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Fulp ![]() | D | 25 | 870,000$ | 870,000$ | ![]() | ||||||
Cole Hults ![]() | D | 26 | 0$ | ![]() | |||||||
Daniil Misyul ![]() | D | 24 | 867,500$ | 867,500$ | RFA | ||||||
Dean Stewart ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Declan Carlile ![]() | D | 22 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Filip Lindberg ![]() | G | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Gavin Hayes ![]() | LW | 20 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
Ian Mitchell ![]() | D | 26 | 955,000$ | 955,000$ | ![]() | ||||||
Ilya Konovalov ![]() | G | 26 | 0$ | ![]() | |||||||
James Stefan ![]() | RW | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Jamieson Rees ![]() | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Josiah Slavin ![]() | C | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Justin Hryckowian ![]() | C | 24 | 870,000$ | 870,000$ | 870,000$ | ![]() | |||||
Kasimir Kaskisuo ![]() | G | 31 | 850,000$ | 850,000$ | UFA | ||||||
Kristian Reichel ![]() | RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Kyle Okposo ![]() | RW | 36 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Logan Morrison ![]() | C | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Lucas Edmonds ![]() | LW/RW | 24 | 861,667$ | 861,667$ | RFA | ||||||
Nick Merkley ![]() | RW | 27 | 0$ | UFA | |||||||
Nick Swaney ![]() | RW | 27 | 850,000$ | 850,000$ | ![]() | ||||||
Nolan Foote ![]() | LW | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Owen Pickering ![]() | D | 21 | 950,000$ | 950,000$ | RFA | ||||||
Roby Jarventie ![]() | LW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Spencer Smallman ![]() | RW | 28 | 900,000$ | 900,000$ | UFA | ||||||
Tomas Hamara ![]() | D | 21 | 831,667$ | 831,667$ | 831,667$ | RFA | |||||
Tomas Vomacka ![]() | G | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Travis Mitchell ![]() | D | 25 | 882,500$ | 882,500$ | ![]() | ||||||
Tyler Boucher ![]() | RW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Victor Berglund ![]() ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Yaniv Perets ![]() | G | 25 | 805,000$ | 805,000$ | ![]() |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 27 | 10 | 7 | 10 | 0 | 28 | 14 | 13 | 10 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 23 | 16 | 23 | 6 | 12 | 6 | 66.7% | 14.8% | 92.9% | 107.7 | LUCKY | |
2 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 6 | 0.750 | 10 | 18 | 28 | 0 | 0 | 3 | 2 | 5 | 0 | 108 | 23 | 41 | 44 | 0 | 165 | 39 | 44 | 91 | 14 | 5 | 35.71% | 21 | 4 | 80.95% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 87 | 58 | 101 | 29 | 50 | 23 | 45.5% | 9.3% | 93.9% | 103.2 | LUCKY | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 4 | 1 | 0 | 0 | 46 | 21 | 15 | 10 | 0 | 72 | 20 | 16 | 41 | 6 | 2 | 33.33% | 8 | 2 | 75.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 45 | 30 | 49 | 14 | 25 | 12 | 30.0% | 10.9% | 87.5% | 98.4 | FUN | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 63 | 16 | 23 | 24 | 0 | 58 | 15 | 14 | 43 | 12 | 5 | 41.67% | 7 | 1 | 85.71% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 52 | 38 | 42 | 14 | 24 | 12 | 20.0% | 9.5% | 91.4% | 100.9 | LUCKY | |
5 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 12 | 15 | -3 | 3 | 0.375 | 12 | 22 | 34 | 0 | 0 | 7 | 3 | 2 | 0 | 148 | 49 | 55 | 43 | 5 | 155 | 49 | 32 | 75 | 15 | 6 | 40.00% | 13 | 4 | 69.23% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 98 | 70 | 97 | 26 | 48 | 24 | 35.3% | 8.1% | 90.3% | 98.4 | Unlucky | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 4 | 2 | 0 | 0 | 71 | 27 | 31 | 13 | 0 | 58 | 19 | 14 | 50 | 12 | 1 | 8.33% | 5 | 0 | 100.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 49 | 35 | 47 | 14 | 23 | 11 | 83.3% | 8.5% | 98.3% | 106.7 | DULL | |
7 | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 7 | 8 | -1 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 1 | 2 | 87 | 30 | 22 | 32 | 3 | 100 | 28 | 34 | 60 | 10 | 0 | 0.00% | 16 | 5 | 68.75% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 72 | 50 | 70 | 22 | 38 | 19 | 70.0% | 8.0% | 92.0% | 100.0 | DULL | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 44 | 21 | 12 | 11 | 0 | 66 | 15 | 22 | 54 | 6 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 44 | 29 | 50 | 14 | 24 | 11 | 28.6% | 4.5% | 87.9% | 92.4 | Unlucky | |
9 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 10 | 4 | 6 | 6 | 1.000 | 10 | 17 | 27 | 0 | 1 | 0 | 3 | 5 | 5 | 94 | 27 | 26 | 38 | 10 | 71 | 20 | 24 | 69 | 14 | 2 | 14.29% | 12 | 2 | 83.33% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 74 | 52 | 73 | 23 | 37 | 18 | 80.0% | 10.6% | 94.4% | 105.0 | LUCKY | |
10 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 12 | 14 | -2 | 3 | 0.375 | 12 | 20 | 32 | 0 | 0 | 5 | 4 | 3 | 0 | 129 | 45 | 44 | 40 | 0 | 168 | 43 | 47 | 74 | 11 | 2 | 18.18% | 18 | 3 | 83.33% | 1 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 80 | 52 | 109 | 28 | 51 | 25 | 47.6% | 9.3% | 91.7% | 101.0 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 50 | 20 | 18 | 12 | 0 | 23 | 7 | 2 | 25 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 26 | 19 | 22 | 7 | 11 | 6 | 60.0% | 8.0% | 91.3% | 99.3 | DULL | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 10 | -2 | 1 | 0.250 | 8 | 15 | 23 | 0 | 0 | 6 | 1 | 1 | 0 | 79 | 30 | 20 | 25 | 6 | 69 | 21 | 12 | 45 | 10 | 2 | 20.00% | 4 | 2 | 50.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 53 | 38 | 46 | 13 | 25 | 12 | 42.9% | 10.1% | 85.5% | 95.6 | FUN | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 62 | 19 | 25 | 18 | 0 | 58 | 20 | 20 | 36 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 50 | 35 | 43 | 13 | 26 | 14 | 28.6% | 4.8% | 87.9% | 92.8 | Unlucky | |
14 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 9 | -1 | 3 | 0.500 | 8 | 15 | 23 | 0 | 0 | 5 | 1 | 2 | 0 | 104 | 31 | 40 | 25 | 11 | 83 | 27 | 30 | 65 | 14 | 2 | 14.29% | 15 | 3 | 80.00% | 1 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 72 | 49 | 73 | 21 | 39 | 19 | 50.0% | 7.7% | 89.2% | 96.8 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 38 | 8 | 14 | 16 | 0 | 70 | 28 | 18 | 35 | 10 | 0 | 0.00% | 9 | 0 | 100.00% | 1 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 43 | 27 | 50 | 15 | 25 | 12 | 37.5% | 7.9% | 92.9% | 100.8 | DULL | |
16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 47 | 10 | 14 | 23 | 0 | 69 | 18 | 22 | 38 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 42 | 28 | 51 | 15 | 25 | 12 | 44.4% | 10.6% | 89.9% | 100.5 | FUN | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 0 | 5 | 0 | 67 | 23 | 18 | 26 | 0 | 63 | 22 | 18 | 51 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 47 | 32 | 47 | 14 | 25 | 12 | 54.5% | 11.9% | 90.5% | 102.4 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 1 | 12 | 10 | 0 | 29 | 5 | 8 | 22 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 23 | 15 | 25 | 6 | 11 | 5 | 20.0% | 4.3% | 86.2% | 90.6 | Unlucky | |
19 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 4 | 1 | 2 | 0 | 94 | 32 | 38 | 24 | 0 | 121 | 39 | 28 | 69 | 14 | 2 | 14.29% | 13 | 2 | 84.62% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 70 | 48 | 73 | 21 | 36 | 17 | 31.3% | 7.4% | 89.3% | 96.7 | Unlucky | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 1 | 0 | 27 | 5 | 15 | 7 | 0 | 39 | 14 | 4 | 13 | 4 | 3 | 75.00% | 2 | 0 | 100.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 22 | 15 | 25 | 7 | 12 | 5 | 50.0% | 18.5% | 94.9% | 113.4 | LUCKY | |
21 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 5 | 2 | 5 | 0.833 | 7 | 13 | 20 | 0 | 0 | 0 | 3 | 4 | 0 | 104 | 27 | 42 | 32 | 3 | 86 | 29 | 30 | 50 | 15 | 0 | 0.00% | 14 | 2 | 85.71% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 76 | 53 | 68 | 22 | 38 | 20 | 70.0% | 6.7% | 94.2% | 100.9 | DULL | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 53 | 21 | 16 | 16 | 0 | 90 | 38 | 16 | 45 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 1 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 39 | 25 | 54 | 15 | 25 | 12 | 20.0% | 9.4% | 85.6% | 95.0 | FUN | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 25 | 13 | 3 | 9 | 0 | 26 | 7 | 12 | 26 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 20 | 13 | 26 | 6 | 12 | 6 | 66.7% | 8.0% | 96.2% | 104.2 | DULL | |
24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 1 | 2 | 0 | 0 | 46 | 19 | 20 | 7 | 0 | 76 | 16 | 24 | 46 | 6 | 1 | 16.67% | 12 | 3 | 75.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 42 | 29 | 52 | 14 | 24 | 11 | 18.2% | 6.5% | 84.2% | 90.7 | Unlucky | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 3 | 0 | 0 | 51 | 7 | 30 | 14 | 0 | 60 | 8 | 45 | 42 | 6 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 43 | 29 | 51 | 15 | 25 | 12 | 42.9% | 5.9% | 91.7% | 97.5 | DULL | |
26 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 6 | 13 | -7 | 1 | 0.167 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 1 | 105 | 44 | 30 | 30 | 3 | 119 | 37 | 26 | 72 | 18 | 1 | 5.56% | 12 | 1 | 91.67% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 68 | 45 | 74 | 24 | 41 | 20 | 29.4% | 5.7% | 89.1% | 94.8 | Unlucky | |
27 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.667 | 12 | 19 | 31 | 0 | 0 | 6 | 2 | 4 | 0 | 96 | 32 | 30 | 34 | 0 | 92 | 30 | 22 | 61 | 13 | 2 | 15.38% | 10 | 1 | 90.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 72 | 50 | 69 | 22 | 37 | 18 | 55.6% | 12.5% | 90.2% | 102.7 | FUN | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 61 | 17 | 21 | 23 | 0 | 65 | 24 | 14 | 38 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 43 | 28 | 51 | 13 | 25 | 11 | 40.0% | 6.6% | 89.2% | 95.8 | Unlucky | |
29 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 0 | 1 | 70 | 21 | 26 | 18 | 5 | 56 | 21 | 24 | 38 | 11 | 1 | 9.09% | 6 | 3 | 50.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 52 | 37 | 42 | 15 | 25 | 13 | 44.4% | 7.1% | 85.7% | 92.9 | Unlucky | |
30 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 88 | 29 | 26 | 33 | 0 | 80 | 29 | 22 | 36 | 6 | 2 | 33.33% | 10 | 3 | 70.00% | 0 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 49 | 34 | 46 | 13 | 24 | 12 | 30.0% | 5.7% | 87.5% | 93.2 | Unlucky | |
_Vs Division | 22 | 8 | 10 | 0 | 2 | 1 | 0 | 1 | 64 | 74 | -10 | 22 | 0.500 | 64 | 112 | 176 | 0 | 0 | 26 | 17 | 19 | 2 | 684 | 216 | 231 | 233 | 8 | 828 | 242 | 209 | 449 | 81 | 22 | 27.16% | 93 | 19 | 79.57% | 2 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 503 | 345 | 546 | 159 | 277 | 136 | 43.3% | 9.4% | 91.1% | 100.4 | Unlucky | |
_Vs Conference | 42 | 14 | 19 | 0 | 3 | 2 | 1 | 3 | 110 | 139 | -29 | 41 | 0.488 | 110 | 194 | 304 | 0 | 1 | 43 | 28 | 35 | 8 | 1298 | 420 | 446 | 413 | 35 | 1475 | 434 | 393 | 891 | 170 | 31 | 18.24% | 182 | 34 | 81.32% | 3 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 979 | 669 | 1035 | 308 | 532 | 263 | 42.9% | 8.5% | 90.6% | 99.1 | Unlucky | |
_Since Last GM Reset | 68 | 23 | 34 | 0 | 4 | 2 | 1 | 4 | 178 | 224 | -46 | 62 | 0.456 | 178 | 317 | 495 | 1 | 2 | 72 | 53 | 48 | 9 | 2107 | 678 | 734 | 667 | 46 | 2315 | 702 | 657 | 1420 | 268 | 46 | 17.16% | 281 | 52 | 81.49% | 4 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 1589 | 1091 | 1665 | 496 | 858 | 425 | 43.4% | 8.4% | 90.3% | 98.8 | Unlucky | |
Total | 68 | 23 | 34 | 0 | 4 | 2 | 1 | 4 | 178 | 224 | -46 | 62 | 0.456 | 178 | 317 | 495 | 1 | 2 | 72 | 53 | 48 | 9 | 2107 | 678 | 734 | 667 | 46 | 2315 | 702 | 657 | 1420 | 268 | 46 | 17.16% | 281 | 52 | 81.49% | 4 | 1235 | 2461 | 50.18% | 1236 | 2506 | 49.32% | 570 | 1035 | 55.07% | 1589 | 1091 | 1665 | 496 | 858 | 425 | 43.4% | 8.4% | 90.3% | 98.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2461 |
Neutral Zone Start | 1035 |
Defensive Zone Start | 2506 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3041 |
Faceoffs Lost | 2961 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 30.6 | 30.68 |
Overtime | 31.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 127 |
---|---|
PP Goal | 46 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 11 | 17 |
Lost | 19 | 15 |
Overtime Lost | 2 | 4 |
PP Attempt | 268 |
---|---|
PP Goal | 46 |
PK Attempt | 281 |
PK Goal Against | 52 |
Home | |
---|---|
Shots For | 31.0 |
Shots Against | 34.0 |
Goals For | 2.6 |
Goals Against | 3.3 |
Hits | 20.9 |
Shots Blocked | 10.3 |
Pim | 9.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-06 | @ | Devils1,Sabres7 | RECAP | |||||||||||
2024-10-07 | @ | Sabres3,Devils4 | RECAP | |||||||||||
2024-10-12 | @ | Maple Leafs4,Devils3 (SO) | RECAP | |||||||||||
2024-10-14 | @ | Devils4,Capitals5 (OT) | RECAP | |||||||||||
2024-10-16 | @ | Hockey Club3,Devils2 | RECAP | |||||||||||
2024-10-17 | @ | Devils4,Hurricanes5 (SO) | RECAP | |||||||||||
2024-10-19 | @ | Devils4,Senators3 | RECAP | |||||||||||
2024-10-21 | @ | Capitals2,Devils1 | RECAP | |||||||||||
2024-10-24 | @ | Lightning3,Devils4 | RECAP | |||||||||||
2024-10-26 | @ | Devils0,Red Wings5 | RECAP | |||||||||||
2024-10-27 | @ | Islanders1,Devils3 | RECAP | |||||||||||
2024-10-29 | @ | Ducks4,Devils2 | RECAP | |||||||||||
2024-11-01 | @ | Devils4,Canucks2 | RECAP | |||||||||||
2024-11-03 | @ | Devils4,Flames2 | RECAP | |||||||||||
2024-11-06 | @ | Devils2,Oilers1 | RECAP | |||||||||||
2024-11-09 | @ | Canadiens2,Devils3 (OT) | RECAP | |||||||||||
2024-11-11 | @ | Devils3,Islanders4 | RECAP | |||||||||||
2024-11-12 | @ | Sharks5,Devils1 | RECAP | |||||||||||
2024-11-14 | @ | Devils2,Panthers1 | RECAP | |||||||||||
2024-11-16 | @ | Devils2,Panthers3 (OT) | RECAP | |||||||||||
2024-11-18 | @ | Devils2,Lightning3 (SO) | RECAP | |||||||||||
2024-11-23 | @ | Hurricanes4,Devils2 | RECAP | |||||||||||
2024-11-25 | @ | Devils4,Capitals5 | RECAP | |||||||||||
2024-11-27 | @ | Predators4,Devils2 | RECAP | |||||||||||
2024-11-29 | @ | Blues3,Devils2 | RECAP | |||||||||||
2024-12-01 | @ | Devils2,Red Wings3 | RECAP | |||||||||||
2024-12-02 | @ | Capitals2,Devils3 | RECAP | |||||||||||
2024-12-04 | @ | Devils2,Rangers1 (OT) | RECAP | |||||||||||
2024-12-08 | @ | Kraken5,Devils4 | RECAP | |||||||||||
2024-12-10 | @ | Avalanche0,Devils1 | RECAP | |||||||||||
2024-12-12 | @ | Maple Leafs5,Devils2 | RECAP | |||||||||||
2024-12-14 | @ | Kings5,Devils4 (SO) | RECAP | |||||||||||
2024-12-16 | @ | Blackhawks2,Devils5 | RECAP | |||||||||||
2024-12-19 | @ | Devils3,Blues4 | RECAP | |||||||||||
2024-12-21 | @ | Devils3,Blue Jackets6 | RECAP | |||||||||||
2024-12-23 | @ | Penguins3,Devils4 | RECAP | |||||||||||
2024-12-25 | @ | Rangers4,Devils1 | RECAP | |||||||||||
2024-12-29 | @ | Hurricanes3,Devils2 | RECAP | |||||||||||
2024-12-30 | @ | Devils4,Hurricanes3 | RECAP | |||||||||||
2025-01-02 | @ | Devils1,Ducks8 | RECAP | |||||||||||
2025-01-03 | @ | Devils4,Kings5 | RECAP | |||||||||||
2025-01-06 | @ | Devils3,Sharks2 | RECAP | |||||||||||
2025-01-08 | @ | Devils1,Kraken5 | RECAP | |||||||||||
2025-01-11 | @ | Devils4,Rangers3 (OT) | RECAP | |||||||||||
2025-01-13 | @ | Lightning3,Devils2 | RECAP | |||||||||||
2025-01-16 | @ | Panthers1,Devils3 | RECAP | |||||||||||
2025-01-18 | @ | Devils1,Maple Leafs4 | RECAP | |||||||||||
2025-01-20 | @ | Flyers4,Devils1 | RECAP | |||||||||||
2025-01-21 | @ | Senators6,Devils1 | RECAP | |||||||||||
2025-01-24 | @ | Bruins4,Devils1 | RECAP | |||||||||||
2025-01-27 | @ | Devils3,Canadiens2 (SO) | RECAP | |||||||||||
2025-01-29 | @ | Devils2,Flyers1 | RECAP | |||||||||||
2025-01-31 | @ | Flyers3,Devils4 | RECAP | |||||||||||
2025-02-04 | @ | Devils2,Sabres3 | RECAP | |||||||||||
2025-02-06 | @ | Devils7,Penguins3 | RECAP | |||||||||||
2025-02-08 | @ | Golden Knights5,Devils1 | RECAP | |||||||||||
2025-02-10 | @ | Devils4,Canadiens0 | RECAP | |||||||||||
2025-02-24 | @ | Stars2,Devils1 | RECAP | |||||||||||
2025-02-25 | @ | Devils1,Predators3 | RECAP | |||||||||||
2025-02-28 | @ | Devils5,Avalanche1 | RECAP | |||||||||||
2025-03-03 | @ | Devils6,Hockey Club3 | RECAP | |||||||||||
2025-03-04 | @ | Devils4,Golden Knights3 (OT) | RECAP | |||||||||||
2025-03-06 | @ | Devils2,Stars3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | Jets1,Devils2 | RECAP | |||||||||||
2025-03-11 | @ | Devils3,Flyers2 | RECAP | |||||||||||
2025-03-13 | @ | Blue Jackets7,Devils2 | RECAP | |||||||||||
2025-03-15 | @ | Oilers4,Devils1 | RECAP | |||||||||||
2025-03-17 | @ | Devils1,Penguins3 | RECAP | |||||||||||
2025-03-19 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-26 | @ | |||||||||||||
2025-03-28 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,325,000$ | 0$ | 79,991,137$ | 8,675,000$ |
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 | 177356 | 150282 | 59880 | 119892 | 29239 |
Attendance PCT | 92.37% | 93.93% | 93.56% | 93.67% | 91.37% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
9 | 16770 - 93.17% | 1,531,295$ | 49,001,446$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,325,000$ | 79,325,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
67,876,857$ | 404,719$ | 67,040,129$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
13,781,657$ | 32 | 409,821$ | 13,114,272$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
13,387,602$ | 79,325,000$ | 75,979,578$ | 76,373,633$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexander Plesovskikh | 2024 | 179 | |||
Andrew Basha | 2024 | 20 | |||
Brett Hyland | 2023 | 215 | |||
Carter Sotheran | 2023 | 118 | |||
Conner Roulette | 2021 | 50 | |||
David Klee | 2023 | 209 | |||
Elliott Groenewold | 2024 | 136 | |||
Emil Jarventie | 2023 | 173 | |||
Fisher Scott | 2024 | 223 | |||
Ivan Yunin | 2024 | 153 | |||
John Mustard | 2024 | 59 | |||
Larry Keenan | 2023 | 139 | |||
Leevi Aaltonen | 2019 | 154 | |||
Liam Dower-Nilsson | 2021 | 118 | |||
Michael Hage | 2024 | 19 | |||
Oliver Bonk | 2023 | 29 | |||
Owen Protz | 2024 | 118 | |||
Patrick Thomas | 2023 | 126 | |||
Ryder Donovan | 2019 | 112 | 6.0 - 4.5 | ||
Sam Rinzel | 2022 | 58 | |||
Yevgeni Kashnikov | 2021 | 215 |
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