|
|
|
|
|
Full Scoreboard »» |
New Jersey Devils 30-13-4, 64pts · 4th 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/LW | 100.00 | 64 | 33 | 83 | 92 | 82 | 93 | 90 | 88 | 92 | 90 | 94 | 74 | 91 | 72 | 79 | 0 | 71 | 96 | 27 | 8,500,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 38 | 76 | 91 | 77 | 91 | 84 | 89 | 83 | 93 | 86 | 69 | 87 | 72 | 81 | 0 | 50 | 95 | 27 | 6,300,000$/9yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 32 | 86 | 83 | 66 | 87 | 88 | 84 | 59 | 89 | 83 | 69 | 83 | 86 | 84 | 0 | 50 | 91 | 35 | 6,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 34 | 93 | 84 | 70 | 88 | 88 | 81 | 92 | 83 | 80 | 84 | 81 | 66 | 77 | 0 | 71 | 90 | 24 | 7,250,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 44 | 65 | 74 | 65 | 82 | 90 | 77 | 81 | 84 | 69 | 88 | 73 | 78 | 82 | 0 | 48 | 87 | 31 | 5,166,666$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 32 | 94 | 76 | 74 | 85 | 85 | 76 | 61 | 76 | 81 | 76 | 78 | 79 | 90 | 0 | 71 | 86 | 31 | 5,000,000$/6yrs | |||
![]() | 0 | RW | 100.00 | 68 | 33 | 84 | 72 | 83 | 79 | 84 | 76 | 62 | 78 | 75 | 76 | 75 | 84 | 99 | 0 | 71 | 85 | 34 | 2,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 33 | 94 | 75 | 84 | 83 | 88 | 74 | 59 | 73 | 78 | 71 | 76 | 76 | 76 | 0 | 71 | 84 | 30 | 4,750,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 33 | 93 | 77 | 82 | 81 | 90 | 74 | 61 | 81 | 69 | 71 | 71 | 68 | 68 | 0 | 71 | 83 | 25 | 5,000,000$/6yrs | |||
![]() | 0 | LW | 100.00 | 83 | 33 | 90 | 71 | 80 | 78 | 86 | 65 | 60 | 69 | 66 | 85 | 66 | 69 | 68 | 0 | 71 | 82 | 26 | 1,300,000$/2yrs | |||
![]() | 7 | C/LW | 100.00 | 73 | 42 | 84 | 71 | 84 | 79 | 86 | 70 | 85 | 62 | 79 | 82 | 74 | 72 | 70 | 0 | 64 | 82 | 27 | 1,050,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 83 | 45 | 80 | 63 | 84 | 79 | 84 | 66 | 58 | 67 | 67 | 76 | 66 | 72 | 70 | 0 | 71 | 79 | 28 | 1,300,000$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 40 | 78 | 90 | 76 | 93 | 90 | 80 | 30 | 95 | 72 | 75 | 76 | 72 | 79 | 0 | 74 | 93 | 27 | 6,250,000$/6yrs | |||
![]() | 0 | D | 100.00 | 74 | 39 | 79 | 79 | 77 | 93 | 90 | 74 | 30 | 84 | 72 | 76 | 73 | 70 | 67 | 0 | 55 | 87 | 26 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 34 | 89 | 73 | 90 | 89 | 88 | 71 | 30 | 73 | 65 | 88 | 68 | 72 | 71 | 0 | 71 | 86 | 27 | 3,166,666$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 33 | 74 | 66 | 77 | 88 | 77 | 67 | 30 | 69 | 63 | 84 | 65 | 65 | 62 | 0 | 72 | 81 | 23 | 3,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 85 | 48 | 65 | 57 | 93 | 86 | 90 | 65 | 30 | 65 | 68 | 86 | 67 | 77 | 74 | 0 | 72 | 81 | 30 | 1,500,000$/2yrs | |||
![]() | 33 | D | 100.00 | 75 | 40 | 79 | 64 | 79 | 85 | 81 | 66 | 30 | 73 | 62 | 71 | 64 | 76 | 74 | 0 | 73 | 80 | 30 | 1,900,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 67 | 40 | 79 | 65 | 85 | 65 | 66 | 66 | 65 | 61 | 70 | 63 | 65 | 63 | 61 | 0 | 19 | 74 | 23 | 863,333$/1yrs | |||
TEAM AVERAGE | 100.00 | 71 | 37 | 82 | 75 | 79 | 84 | 86 | 74 | 58 | 77 | 74 | 77 | 74 | 73 | 75 | 0 | 64 | 85 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 90 | 95 | 85 | 72 | 93 | 90 | 93 | 94 | 93 | 93 | 93 | 72 | 77 | 0 | 60 | 92 | 27 | 4,250,000$/3yrs |
![]() | 0 | 100.00 | 78 | 73 | 71 | 88 | 80 | 77 | 81 | 85 | 80 | 84 | 81 | 88 | 92 | 0 | 66 | 84 | 37 | 1,300,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 84 | 84 | 78 | 80 | 87 | 84 | 87 | 90 | 87 | 89 | 87 | 80 | 85 | 0 | 63 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter DeBoer | 70 | 87 | 97 | 74 | 99 | 91 | 87 | CAN | 66 | 2 | 1,000,000$ |
General Manager | David Plouffe |
---|
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 | Leon Draisaitl | 0 | C/LW | 47 | 30 | 45 | 75 | 46 | 12 | 0 | 57 | 242 | 65 | 152 | 12.40% | 12 | 22.09 | 3 | 11 | 14 | 145 | 0 | 0 | 0 | 56 | 5 | 0 | 54.23% | 1372 | 0 | 0 | 1 | 0 | 1.44 | 1 | 3 | |
2 | Nathan MacKinnon | 0 | C/RW | 47 | 24 | 36 | 60 | 30 | 24 | 0 | 104 | 186 | 70 | 118 | 12.90% | 7 | 21.00 | 5 | 8 | 13 | 144 | 0 | 0 | 0 | 17 | 4 | 0 | 56.15% | 520 | 0 | 0 | 1 | 0 | 1.22 | 0 | 5 | |
3 | Nico Hischier | 0 | C | 47 | 19 | 18 | 37 | -18 | 4 | 0 | 45 | 174 | 56 | 129 | 10.92% | 25 | 20.73 | 6 | 6 | 12 | 128 | 0 | 0 | 0 | 114 | 5 | 3 | 55.46% | 1282 | 0 | 0 | 1 | 0 | 0.76 | 1 | 1 | |
4 | Josh Morrissey | 0 | D | 47 | 3 | 33 | 36 | 15 | 47 | 5 | 88 | 44 | 16 | 46 | 6.82% | 49 | 23.54 | 1 | 7 | 8 | 144 | 0 | 0 | 0 | 31 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
5 | Ryan Graves | 0 | D | 47 | 5 | 22 | 27 | 16 | 24 | 0 | 91 | 49 | 7 | 21 | 10.20% | 72 | 21.87 | 1 | 2 | 3 | 20 | 0 | 0 | 0 | 114 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
6 | Reilly Smith | 0 | LW/RW | 47 | 13 | 14 | 27 | 13 | 14 | 0 | 55 | 125 | 27 | 72 | 10.40% | 8 | 19.80 | 2 | 4 | 6 | 125 | 0 | 0 | 0 | 45 | 1 | 1 | 37.93% | 58 | 0 | 0 | 0 | 0 | 0.58 | 0 | 1 | |
7 | Mats Zuccarello | 0 | LW/RW | 47 | 11 | 15 | 26 | 0 | 8 | 0 | 34 | 111 | 29 | 73 | 9.91% | 5 | 19.08 | 2 | 4 | 6 | 133 | 0 | 0 | 0 | 0 | 1 | 0 | 36.92% | 65 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
8 | Vince Dunn | 0 | D | 48 | 1 | 22 | 23 | 8 | 34 | 0 | 73 | 43 | 16 | 39 | 2.33% | 49 | 20.43 | 0 | 5 | 5 | 121 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
9 | Henri Jokiharju | 0 | D | 47 | 4 | 14 | 18 | 14 | 17 | 5 | 18 | 30 | 5 | 21 | 13.33% | 70 | 16.67 | 1 | 2 | 3 | 41 | 0 | 2 | 2 | 133 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 1 | |
10 | Brandon Saad | 0 | LW/RW | 47 | 9 | 6 | 15 | -2 | 0 | 0 | 4 | 78 | 25 | 61 | 11.54% | 3 | 12.01 | 2 | 2 | 4 | 120 | 0 | 0 | 0 | 5 | 1 | 1 | 35.14% | 37 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
11 | Yanni Gourde | 0 | C/LW | 46 | 4 | 9 | 13 | 2 | 16 | 0 | 42 | 80 | 26 | 52 | 5.00% | 8 | 12.92 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 109 | 0 | 0 | 52.75% | 618 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
12 | Jani Hakanpaa | 0 | D | 47 | 1 | 11 | 12 | 11 | 47 | 5 | 119 | 26 | 5 | 14 | 3.85% | 53 | 15.43 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 99 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
13 | Colin Miller | 33 | D | 47 | 3 | 8 | 11 | -5 | 38 | 10 | 79 | 31 | 4 | 21 | 9.68% | 42 | 17.88 | 0 | 1 | 1 | 27 | 0 | 0 | 0 | 79 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
14 | Kyle Okposo | 0 | RW | 47 | 6 | 5 | 11 | -6 | 6 | 0 | 32 | 67 | 19 | 47 | 8.96% | 5 | 10.60 | 0 | 0 | 0 | 63 | 0 | 0 | 0 | 11 | 1 | 1 | 41.18% | 34 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
15 | Pavel Zacha | 0 | C/LW | 47 | 3 | 8 | 11 | -18 | 14 | 0 | 57 | 87 | 18 | 66 | 3.45% | 6 | 15.34 | 1 | 2 | 3 | 113 | 0 | 0 | 0 | 8 | 1 | 0 | 53.51% | 299 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
16 | Nico Sturm | 7 | C/LW | 29 | 3 | 4 | 7 | 3 | 0 | 0 | 5 | 23 | 8 | 23 | 13.04% | 1 | 7.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 1 | 0 | 57.35% | 204 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
17 | Zach Sanford | 0 | C/LW/RW | 47 | 3 | 2 | 5 | 3 | 16 | 0 | 27 | 36 | 13 | 31 | 8.33% | 2 | 7.48 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 18 | 1 | 0 | 46.81% | 47 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
18 | Yakov Trenin | 0 | LW | 47 | 2 | 3 | 5 | 2 | 22 | 0 | 40 | 36 | 10 | 29 | 5.56% | 5 | 8.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 48.00% | 25 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
Team Total or Average | 828 | 144 | 275 | 419 | 114 | 343 | 25 | 970 | 1468 | 419 | 1015 | 9.81% | 422 | 16.44 | 24 | 55 | 79 | 1352 | 0 | 2 | 2 | 980 | 25 | 8 | 53.87% | 4561 | 0 | 0 | 3 | 0 | 0.62 | 2 | 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 | Juuse Saros | 38 | 22 | 12 | 3 | 0.911 | 2.49 | 2169 | 4 | 3 | 90 | 1016 | 0 | 0 | 0 | 1.000 | 3 | 37 | 10 | 2 | 7 | 3 | |
2 | Brian Elliott | 12 | 8 | 1 | 1 | 0.915 | 2.25 | 668 | 0 | 2 | 25 | 294 | 0 | 0 | 0 | 0.714 | 7 | 10 | 37 | 2 | 0 | 0 | |
Team Total or Average | 50 | 30 | 13 | 4 | 0.912 | 2.43 | 2838 | 4 | 5 | 115 | 1310 | 0 | 0 | 0 | 0.800 | 10 | 47 | 47 | 4 | 7 | 3 |
Projected Total Cap Hit | 81,429,062$ |
Projected Cap Space | 1,070,938$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 47,960,588$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Devils Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Alexeyev ![]() | D | 23 | 863,333$ | 863,333$ | RFA | ||||||
Brandon Saad | LW/RW | 30 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Brian Elliott | G | 37 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Colin Miller | D | 30 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | UFA | ||||
Henri Jokiharju | D | 23 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | ![]() | ||||
Jani Hakanpaa | D | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Josh Morrissey | D | 27 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |
Juuse Saros | G | 27 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | ||||
Kyle Okposo | RW | 34 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Leon Draisaitl | C/LW | 27 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | ||||
Mats Zuccarello | LW/RW | 35 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Nathan MacKinnon | C/RW | 27 | 6,300,000$ | 6,300,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ |
Nico Hischier | C | 24 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | ||
Nico Sturm ![]() | C/LW | 27 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | ||||
Pavel Zacha | C/LW | 25 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |
Reilly Smith | LW/RW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |
Ryan Graves | D | 27 | 3,166,666$ | 3,166,666$ | UFA | ||||||
Vince Dunn | D | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ![]() | |||||
Yakov Trenin | LW | 26 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ![]() | |||||
Yanni Gourde | C/LW | 31 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA | ||||
Zach Sanford | C/LW/RW | 28 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Clendening ![]() | D | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Alex Chiasson ![]() | LW/RW | 32 | 900,000$ | 900,000$ | UFA | ||||||
Artem Anisimov ![]() | C/LW | 34 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Brendan Smith ![]() | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
Brian Boyle ![]() | C/LW | 38 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Clark Bishop ![]() | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Cole Hults ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
David Tendeck ![]() | G | 23 | 783,333$ | 783,333$ | RFA | ||||||
Dean Stewart ![]() | D | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Declan Carlile ![]() | D | 20 | 855,000$ | 855,000$ | 855,000$ | RFA | |||||
Filip Lindberg ![]() ![]() | G | 23 | 750,000$ | 750,000$ | RFA | ||||||
Filip Roos ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Fredrik Claesson ![]() | D | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Fredrik Karlstrom ![]() | C | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Ilya Konovalov ![]() | G | 24 | 750,000$ | 750,000$ | RFA | ||||||
Josiah Slavin ![]() | C | 24 | 842,500$ | 842,500$ | RFA | ||||||
Kristian Reichel ![]() | RW | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Martin Frk ![]() | LW/RW | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Michael Dipietro ![]() | G | 23 | 1,200,000$ | 1,200,000$ | RFA | ||||||
Mitchell Balmas ![]() | C | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Mitchell Stephens ![]() | C | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Nicholas Merkley ![]() | RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Nick Swaney ![]() | RW | 25 | 0$ | ![]() | |||||||
Noah Philp ![]() | C | 24 | 842,500$ | 842,500$ | RFA | ||||||
Nolan Foote ![]() | LW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Riley Sheahan ![]() | C/LW/RW | 31 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Ryan Fanti ![]() | G | 23 | 883,750$ | 883,750$ | RFA | ||||||
Sam Poulin ![]() | LW/RW | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Scott Reedy ![]() | C | 23 | 842,500$ | 842,500$ | RFA | ||||||
Spencer Smallman ![]() | RW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Tomas Vomacka ![]() | G | 23 | 810,000$ | 810,000$ | RFA | ||||||
Tyler Boucher ![]() | RW | 20 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Victor Berglund ![]() | D | 23 | 850,833$ | 850,833$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 3 | 0 | 59 | 22 | 22 | 15 | 0 | 56 | 18 | 24 | 46 | 9 | 2 | 22.22% | 4 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 45 | 31 | 49 | 15 | 25 | 12 | 41.7% | 11.9% | 87.5% | 99.4 | FUN | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 1 | 5 | 4 | 0 | 92 | 19 | 39 | 34 | 0 | 72 | 27 | 20 | 66 | 16 | 3 | 18.75% | 10 | 3 | 70.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 69 | 46 | 73 | 22 | 37 | 17 | 50.0% | 10.9% | 86.1% | 97.0 | FUN | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 1 | 3 | 0 | 88 | 38 | 24 | 26 | 0 | 49 | 23 | 14 | 28 | 12 | 2 | 16.67% | 4 | 1 | 75.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 57 | 43 | 39 | 13 | 22 | 12 | 62.5% | 8.0% | 91.8% | 99.8 | DULL | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 65 | 25 | 17 | 23 | 0 | 37 | 11 | 2 | 43 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 55 | 42 | 39 | 13 | 24 | 12 | 45.5% | 9.2% | 83.8% | 93.0 | FUN | |
5 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 14 | 22 | 0 | 0 | 1 | 3 | 3 | 1 | 92 | 26 | 28 | 37 | 5 | 96 | 36 | 18 | 68 | 11 | 1 | 9.09% | 9 | 1 | 88.89% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 71 | 51 | 75 | 23 | 37 | 18 | 53.8% | 8.7% | 92.7% | 101.4 | DULL | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 9 | 7 | 11 | 0 | 34 | 12 | 4 | 21 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 23 | 17 | 24 | 7 | 12 | 6 | 0.0% | 0.0% | 97.1% | 97.1 | DULL | |
7 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 4 | 11 | 6 | 1.000 | 15 | 28 | 43 | 0 | 1 | 9 | 3 | 3 | 0 | 93 | 34 | 25 | 34 | 0 | 70 | 17 | 16 | 61 | 8 | 3 | 37.50% | 7 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 78 | 57 | 64 | 20 | 36 | 18 | 75.0% | 16.1% | 94.3% | 110.4 | LUCKY | |
8 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 16 | 24 | 0 | 0 | 3 | 2 | 3 | 0 | 88 | 31 | 29 | 28 | 0 | 112 | 35 | 23 | 64 | 7 | 2 | 28.57% | 9 | 2 | 77.78% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 65 | 44 | 75 | 23 | 38 | 17 | 42.9% | 9.1% | 91.1% | 100.2 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 3 | 0 | 0 | 34 | 12 | 16 | 6 | 0 | 22 | 10 | 14 | 16 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 24 | 16 | 22 | 7 | 12 | 6 | 85.7% | 17.6% | 90.9% | 108.6 | FUN | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 3 | 0 | 3 | 0 | 71 | 23 | 16 | 32 | 0 | 61 | 15 | 12 | 53 | 10 | 3 | 30.00% | 6 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 51 | 38 | 45 | 13 | 22 | 11 | 60.0% | 8.5% | 96.7% | 105.2 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 34 | 8 | 12 | 14 | 0 | 29 | 8 | 6 | 20 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 26 | 19 | 21 | 7 | 12 | 6 | 57.1% | 14.7% | 86.2% | 100.9 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 29 | 8 | 6 | 15 | 0 | 30 | 7 | 11 | 13 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 24 | 16 | 21 | 7 | 14 | 7 | 66.7% | 17.2% | 90.0% | 107.2 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 36 | 13 | 9 | 14 | 0 | 28 | 10 | 6 | 20 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 25 | 17 | 22 | 6 | 11 | 5 | 28.6% | 11.1% | 78.6% | 89.7 | FUN | |
14 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 3 | 0.750 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 49 | 19 | 13 | 17 | 0 | 65 | 23 | 6 | 49 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 41 | 26 | 52 | 15 | 27 | 13 | 50.0% | 4.1% | 96.9% | 101.0 | DULL | |
15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 38 | 12 | 13 | 9 | 6 | 26 | 6 | 23 | 19 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 25 | 18 | 25 | 7 | 13 | 7 | 42.9% | 7.9% | 84.6% | 92.5 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 41 | 16 | 11 | 14 | 0 | 43 | 7 | 10 | 25 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 24 | 16 | 23 | 6 | 11 | 5 | 60.0% | 9.8% | 95.3% | 105.1 | LUCKY | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 46 | 17 | 14 | 15 | 0 | 59 | 13 | 20 | 46 | 3 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 48 | 33 | 46 | 14 | 24 | 12 | 54.5% | 13.0% | 88.1% | 101.2 | FUN | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 1 | 1 | 1 | 0 | 32 | 13 | 7 | 12 | 0 | 26 | 6 | 6 | 17 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 22 | 15 | 24 | 7 | 12 | 6 | 100.0% | 9.4% | 100.0% | 109.4 | LUCKY | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 30 | 6 | 11 | 13 | 0 | 40 | 12 | 12 | 20 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 21 | 13 | 26 | 7 | 12 | 6 | 62.5% | 16.7% | 92.5% | 109.2 | LUCKY | |
20 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 2 | 1 | 62 | 15 | 26 | 19 | 4 | 56 | 14 | 10 | 38 | 8 | 2 | 25.00% | 4 | 1 | 75.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 51 | 37 | 47 | 15 | 26 | 12 | 62.5% | 11.3% | 92.9% | 104.1 | LUCKY | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 8 | 10 | 15 | 0 | 26 | 6 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 23 | 16 | 24 | 7 | 11 | 5 | 20.0% | 3.0% | 84.6% | 87.6 | Unlucky | |
22 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 3 | 3 | 3 | 0.750 | 6 | 12 | 18 | 0 | 1 | 2 | 2 | 2 | 0 | 76 | 27 | 25 | 23 | 1 | 51 | 13 | 11 | 47 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 49 | 36 | 47 | 14 | 25 | 12 | 62.5% | 7.9% | 94.1% | 102.0 | DULL | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 4 | 0 | 0 | 35 | 10 | 11 | 14 | 0 | 27 | 9 | 12 | 17 | 6 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 24 | 15 | 22 | 9 | 13 | 6 | 100.0% | 11.4% | 92.6% | 104.0 | LUCKY | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 49 | 16 | 10 | 23 | 0 | 66 | 20 | 14 | 45 | 4 | 1 | 25.00% | 7 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 46 | 32 | 47 | 13 | 25 | 12 | 36.4% | 10.2% | 89.4% | 99.6 | FUN | |
25 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 6 | 2 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 3 | 3 | 2 | 0 | 90 | 23 | 39 | 26 | 2 | 51 | 21 | 14 | 39 | 11 | 2 | 18.18% | 6 | 1 | 83.33% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 55 | 40 | 44 | 14 | 24 | 12 | 54.5% | 8.9% | 88.2% | 97.1 | Unlucky | |
26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 3 | 2 | 1 | 0 | 67 | 23 | 21 | 23 | 0 | 33 | 13 | 10 | 45 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 54 | 39 | 42 | 14 | 22 | 11 | 75.0% | 9.0% | 93.9% | 102.9 | LUCKY | |
27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 40 | 15 | 11 | 14 | 0 | 21 | 10 | 10 | 19 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 28 | 21 | 19 | 6 | 11 | 6 | 100.0% | 10.0% | 90.5% | 100.5 | FUN | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 7 | 12 | 2 | 0 | 24 | 11 | 10 | 17 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 22 | 15 | 26 | 6 | 11 | 4 | 0.0% | 0.0% | 91.7% | 91.7 | DULL | |
_Vs Division | 16 | 9 | 5 | 0 | 0 | 1 | 1 | 0 | 54 | 39 | 15 | 21 | 0.656 | 54 | 97 | 151 | 0 | 2 | 19 | 17 | 17 | 1 | 536 | 158 | 174 | 201 | 7 | 413 | 133 | 86 | 347 | 64 | 13 | 20.31% | 41 | 5 | 87.80% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 406 | 293 | 368 | 116 | 194 | 96 | 54.7% | 10.1% | 90.6% | 100.6 | FUN | |
_Vs Conference | 29 | 17 | 9 | 0 | 0 | 1 | 2 | 0 | 96 | 73 | 23 | 39 | 0.672 | 96 | 173 | 269 | 0 | 3 | 34 | 30 | 30 | 2 | 935 | 300 | 300 | 330 | 11 | 803 | 254 | 187 | 601 | 105 | 20 | 19.05% | 85 | 12 | 85.88% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 723 | 516 | 672 | 211 | 357 | 176 | 55.5% | 10.3% | 90.9% | 101.2 | FUN | |
_Since Last GM Reset | 47 | 28 | 13 | 0 | 0 | 3 | 2 | 1 | 151 | 116 | 35 | 64 | 0.681 | 151 | 271 | 422 | 0 | 5 | 57 | 48 | 44 | 2 | 1517 | 495 | 484 | 528 | 18 | 1310 | 413 | 342 | 979 | 164 | 29 | 17.68% | 134 | 19 | 85.82% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 1161 | 823 | 1098 | 343 | 584 | 290 | 55.7% | 10.0% | 91.1% | 101.1 | Unlucky | |
Total | 47 | 28 | 13 | 0 | 0 | 3 | 2 | 1 | 151 | 116 | 35 | 64 | 0.681 | 151 | 271 | 422 | 0 | 5 | 57 | 48 | 44 | 2 | 1517 | 495 | 484 | 528 | 18 | 1310 | 413 | 342 | 979 | 164 | 29 | 17.68% | 134 | 19 | 85.82% | 0 | 917 | 1700 | 53.94% | 824 | 1575 | 52.32% | 381 | 698 | 54.58% | 1161 | 823 | 1098 | 343 | 584 | 290 | 55.7% | 10.0% | 91.1% | 101.1 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1700 |
Neutral Zone Start | 698 |
Defensive Zone Start | 1575 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2122 |
Faceoffs Lost | 1851 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 32.1 | 30.68 |
Overtime | 32.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 122 |
---|---|
PP Goal | 29 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 16 | 14 |
Lost | 7 | 6 |
Overtime Lost | 2 | 2 |
PP Attempt | 164 |
---|---|
PP Goal | 29 |
PK Attempt | 134 |
PK Goal Against | 19 |
Home | |
---|---|
Shots For | 32.3 |
Shots Against | 27.9 |
Goals For | 3.2 |
Goals Against | 2.5 |
Hits | 20.8 |
Shots Blocked | 8.8 |
Pim | 7.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-13 | @ | Devils3,Flyers1 | RECAP | |||||||||||
2022-10-15 | @ | Red Wings2,Devils4 | RECAP | |||||||||||
2022-10-18 | @ | Ducks3,Devils2 (OT) | RECAP | |||||||||||
2022-10-20 | @ | Devils2,Islanders3 | RECAP | |||||||||||
2022-10-22 | @ | Sharks0,Devils3 | RECAP | |||||||||||
2022-10-24 | @ | Capitals2,Devils3 | RECAP | |||||||||||
2022-10-25 | @ | Devils1,Red Wings3 | RECAP | |||||||||||
2022-10-28 | @ | Avalanche1,Devils0 | RECAP | |||||||||||
2022-10-30 | @ | Blue Jackets4,Devils1 | RECAP | |||||||||||
2022-11-01 | @ | Devils5,Canucks4 | RECAP | |||||||||||
2022-11-03 | @ | Devils0,Oilers1 (OT) | RECAP | |||||||||||
2022-11-05 | @ | Devils1,Flames2 | RECAP | |||||||||||
2022-11-08 | @ | Flames5,Devils6 | RECAP | |||||||||||
2022-11-10 | @ | Senators3,Devils5 | RECAP | |||||||||||
2022-11-12 | @ | Coyotes2,Devils4 | RECAP | |||||||||||
2022-11-15 | @ | Devils6,Canadiens2 | RECAP | |||||||||||
2022-11-17 | @ | Devils5,Maple Leafs3 | RECAP | |||||||||||
2022-11-19 | @ | Devils2,Senators1 | RECAP | |||||||||||
2022-11-21 | @ | Oilers1,Devils2 | RECAP | |||||||||||
2022-11-23 | @ | Maple Leafs4,Devils0 | RECAP | |||||||||||
2022-11-25 | @ | Devils3,Sabres0 | RECAP | |||||||||||
2022-11-26 | @ | Capitals0,Devils3 | RECAP | |||||||||||
2022-11-28 | @ | Devils5,Rangers1 | RECAP | |||||||||||
2022-12-01 | @ | Predators6,Devils4 | RECAP | |||||||||||
2022-12-03 | @ | Devils3,Flyers4 | RECAP | |||||||||||
2022-12-06 | @ | Blackhawks3,Devils5 | RECAP | |||||||||||
2022-12-09 | @ | Islanders3,Devils4 | RECAP | |||||||||||
2022-12-12 | @ | Devils3,Rangers0 | RECAP | |||||||||||
2022-12-13 | @ | Stars2,Devils4 | RECAP | |||||||||||
2022-12-15 | @ | Flyers5,Devils4 | RECAP | |||||||||||
2022-12-17 | @ | Panthers3,Devils4 (SO) | RECAP | |||||||||||
2022-12-20 | @ | Devils3,Hurricanes2 (SO) | RECAP | |||||||||||
2022-12-21 | @ | Devils3,Panthers1 | RECAP | |||||||||||
2022-12-23 | @ | Bruins2,Devils3 | RECAP | |||||||||||
2022-12-28 | @ | Bruins5,Devils3 | RECAP | |||||||||||
2022-12-30 | @ | Devils4,Penguins5 (OT) | RECAP | |||||||||||
2023-01-01 | @ | Hurricanes2,Devils1 | RECAP | |||||||||||
2023-01-04 | @ | Devils3,Red Wings5 | RECAP | |||||||||||
2023-01-05 | @ | Blues4,Devils3 (SO) | RECAP | |||||||||||
2023-01-07 | @ | Rangers3,Devils7 | RECAP | |||||||||||
2023-01-10 | @ | Devils4,Hurricanes3 | RECAP | |||||||||||
2023-01-13 | @ | Devils4,Ducks0 | RECAP | |||||||||||
2023-01-14 | @ | Devils5,Kings3 | RECAP | |||||||||||
2023-01-16 | @ | Devils3,Sharks2 | RECAP | |||||||||||
2023-01-19 | @ | Devils0,Kraken2 | RECAP | |||||||||||
2023-01-22 | @ | Penguins1,Devils4 | RECAP | |||||||||||
2023-01-24 | @ | Golden Knights2,Devils4 | RECAP | |||||||||||
2023-01-26 | @ | |||||||||||||
2023-01-27 | @ | |||||||||||||
2023-02-06 | @ | |||||||||||||
2023-02-09 | @ | |||||||||||||
2023-02-11 | @ | |||||||||||||
2023-02-14 | @ | |||||||||||||
2023-02-16 | @ | |||||||||||||
2023-02-18 | @ | |||||||||||||
2023-02-19 | @ | |||||||||||||
2023-02-21 | @ | |||||||||||||
2023-02-23 | @ | |||||||||||||
2023-02-25 | @ | |||||||||||||
2023-03-01 | @ | |||||||||||||
2023-03-03 | @ | |||||||||||||
2023-03-05 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-07 | @ | |||||||||||||
2023-03-09 | @ | |||||||||||||
2023-03-11 | @ | |||||||||||||
2023-03-12 | @ | |||||||||||||
2023-03-14 | @ | |||||||||||||
2023-03-16 | @ | |||||||||||||
2023-03-18 | @ | |||||||||||||
2023-03-19 | @ | |||||||||||||
2023-03-21 | @ | |||||||||||||
2023-03-24 | @ | |||||||||||||
2023-03-25 | @ | |||||||||||||
2023-03-27 | @ | |||||||||||||
2023-03-30 | @ | |||||||||||||
2023-04-01 | @ | |||||||||||||
2023-04-02 | @ | |||||||||||||
2023-04-04 | @ | |||||||||||||
2023-04-06 | @ | |||||||||||||
2023-04-08 | @ | |||||||||||||
2023-04-11 | @ | |||||||||||||
2023-04-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,096,665$ | 0$ | 81,429,062$ | 1,403,335$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Prudential Center | |
City | New Jersey | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 143110 | 121448 | 48173 | 96670 | 23409 |
Attendance PCT | 95.41% | 97.16% | 96.35% | 96.67% | 93.64% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
16 | 17312 - 96.18% | 1,519,124$ | 37,978,106$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,096,665$ | 81,096,665$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
48,547,889$ | 429,083$ | 47,960,588$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
24,305,988$ | 78 | 434,374$ | 33,881,172$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,989,766$ | 81,096,665$ | 53,263,824$ | 42,580,046$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Daniil Misyul | 2019 | 81 | 4.0 - 5.0 | ||
Jake Ryczek | |||||
Leevi Aaltonen | 2019 | 154 | |||
Roman Bychkov | 2019 | 165 | |||
Ryder Donovan | 2019 | 112 | 6.0 - 4.5 | ||
Yevgeni Kashnikov | 2021 | 215 |
|