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Full Scoreboard ยป |
New Jersey Devils 0-0-2, 2pts · 8th in Eastern Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 48 | 11 | 91 | 86 | 69 | 97 | 99 | 86 | 52 | 99 | 89 | 64 | 63 | 62 | 63 | 81 | 46 | 78 | 23 | 10,893,000$/2yrs | |||
![]() | 0 | C | 100.00 | 78 | 18 | 65 | 88 | 67 | 93 | 86 | 83 | 93 | 85 | 74 | 66 | 63 | 68 | 69 | 74 | 46 | 75 | 27 | 4,750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 54 | 13 | 91 | 75 | 70 | 96 | 89 | 81 | 99 | 75 | 73 | 78 | 47 | 82 | 85 | 79 | 46 | 74 | 35 | 1,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 15 | 80 | 92 | 83 | 90 | 99 | 89 | 33 | 74 | 91 | 34 | 80 | 65 | 66 | 73 | 46 | 74 | 22 | 3,850,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 50 | 12 | 88 | 84 | 75 | 91 | 92 | 76 | 38 | 71 | 84 | 71 | 90 | 70 | 73 | 80 | 46 | 73 | 29 | 5,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 74 | 17 | 84 | 76 | 82 | 94 | 82 | 76 | 97 | 77 | 73 | 67 | 25 | 81 | 85 | 76 | 46 | 73 | 31 | 6,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 12 | 91 | 82 | 67 | 92 | 76 | 70 | 93 | 68 | 78 | 79 | 25 | 71 | 72 | 65 | 46 | 71 | 27 | 3,798,500$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 12 | 90 | 89 | 62 | 78 | 96 | 63 | 36 | 64 | 68 | 71 | 72 | 84 | 87 | 68 | 46 | 69 | 33 | 1,700,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 49 | 10 | 96 | 84 | 72 | 88 | 86 | 82 | 29 | 69 | 90 | 38 | 45 | 63 | 64 | 72 | 46 | 69 | 23 | 3,500,000$/5yrs | |||
![]() | 0 | C/RW | 100.00 | 39 | 7 | 97 | 89 | 72 | 82 | 85 | 80 | 83 | 82 | 68 | 46 | 25 | 63 | 64 | 66 | 46 | 69 | 24 | 6,962,366$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 7 | 96 | 86 | 70 | 64 | 80 | 69 | 31 | 71 | 69 | 65 | 75 | 62 | 62 | 67 | 46 | 67 | 22 | 1,999,999$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 59 | 13 | 95 | 82 | 78 | 81 | 78 | 59 | 68 | 65 | 68 | 71 | 25 | 62 | 63 | 68 | 46 | 67 | 26 | 2,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 24 | 83 | 84 | 82 | 99 | 98 | 71 | 25 | 72 | 50 | 91 | 25 | 68 | 70 | 68 | 46 | 76 | 30 | 3,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 15 | 86 | 83 | 77 | 99 | 90 | 88 | 25 | 82 | 64 | 76 | 25 | 62 | 62 | 68 | 46 | 74 | 23 | 8,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 14 | 87 | 86 | 73 | 98 | 89 | 76 | 25 | 72 | 48 | 76 | 25 | 72 | 73 | 65 | 46 | 73 | 30 | 4,050,000$/2yrs | |||
![]() | 0 | D | 100.00 | 81 | 17 | 93 | 78 | 71 | 86 | 79 | 60 | 25 | 56 | 47 | 84 | 25 | 73 | 75 | 64 | 46 | 72 | 30 | 3,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 12 | 88 | 84 | 66 | 95 | 87 | 86 | 25 | 78 | 63 | 70 | 75 | 64 | 65 | 69 | 46 | 72 | 28 | 1,200,000$/1yrs | |||
![]() | 0 | D | 100.00 | 52 | 13 | 93 | 70 | 69 | 97 | 99 | 56 | 25 | 55 | 44 | 84 | 75 | 82 | 85 | 67 | 46 | 70 | 37 | 1,200,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 73 | 37 | 83 | 77 | 77 | 78 | 79 | 59 | 95 | 60 | 58 | 62 | 56 | 81 | 84 | 68 | 54 | 65 | 34 | 900,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 52 | 14 | 89 | 69 | 79 | 88 | 99 | 64 | 58 | 65 | 66 | 35 | 61 | 99 | 99 | 72 | 54 | 65 | 40 | 685,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 24 | 90 | 72 | 79 | 75 | 70 | 55 | 25 | 56 | 48 | 82 | 25 | 63 | 63 | 56 | 54 | 66 | 27 | 1,633,333$/1yrs | |||
TEAM AVERAGE | 100.00 | 60 | 15 | 88 | 82 | 73 | 89 | 88 | 73 | 51 | 71 | 67 | 67 | 49 | 71 | 73 | 70 | 47 | 71 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 84 | 95 | 99 | 84 | 88 | 87 | 92 | 88 | 87 | 80 | 88 | 69 | 69 | 75 | 46 | 83 | 27 | 6,166,666$/2yrs |
![]() | 0 | 100.00 | 83 | 75 | 75 | 78 | 79 | 83 | 87 | 87 | 87 | 82 | 95 | 52 | 52 | 60 | 46 | 77 | 26 | 1,800,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 84 | 85 | 87 | 81 | 84 | 85 | 90 | 88 | 87 | 81 | 92 | 61 | 61 | 68 | 46 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ken Hitchcock | 91 | 70 | 71 | 60 | 99 | 99 | 73 | CAN | 65 | 3 | 2,500,000$ |
General Manager | Lutos |
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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 | Jake Debrusk | 0 | LW/RW | 2 | 3 | 0 | 3 | -2 | 2 | 0 | 1 | 9 | 3 | 7 | 33.33% | 2 | 19.98 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 2 | 2 | 0 | 0 | 1 | 1.50 | 0 | 0 | |
2 | Jake Gardiner | 0 | D | 2 | 0 | 2 | 2 | 1 | 2 | 0 | 0 | 2 | 1 | 1 | 0.00% | 4 | 20.44 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.98 | 0 | 0 | |
3 | Mitch Marner | 0 | RW | 2 | 1 | 1 | 2 | 1 | 2 | 0 | 0 | 8 | 3 | 6 | 12.50% | 3 | 20.73 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 2 | 0 | 0 | 0 | 0.96 | 0 | 0 | |
4 | Travis Zajac | 0 | C | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 2 | 1 | 5 | 0.00% | 0 | 13.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 52.94% | 17 | 1 | 1 | 0 | 0 | 1.51 | 0 | 0 | |
5 | Jean-Gabriel Pageau | 0 | C | 2 | 0 | 2 | 2 | -2 | 0 | 0 | 1 | 5 | 1 | 4 | 0.00% | 2 | 17.67 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 70.59% | 51 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 | |
6 | Vincent Trocheck | 0 | C | 2 | 1 | 1 | 2 | 2 | 2 | 0 | 3 | 8 | 4 | 3 | 12.50% | 1 | 20.77 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 62.00% | 50 | 1 | 0 | 0 | 0 | 0.96 | 0 | 0 | |
7 | William Nylander | 0 | C/RW | 2 | 0 | 2 | 2 | -4 | 0 | 0 | 0 | 8 | 2 | 6 | 0.00% | 1 | 17.74 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 2 | 1 | 0 | 0 | 1.13 | 0 | 0 | |
8 | Patrik Laine | 0 | LW/RW | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 4 | 12 | 1 | 1 | 8.33% | 0 | 21.79 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 4 | 0 | 0 | 0 | 0.92 | 0 | 1 | |
9 | Andrew Cogliano | 0 | LW/RW | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 3 | 0 | 2 | 33.33% | 0 | 8.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 1.21 | 0 | 0 | |
10 | Andy Greene | 0 | D | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 5 | 12.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.81 | 0 | 0 | |
11 | Jakob Silfverberg | 0 | RW | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 33.33% | 0 | 12.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 1 | 1 | 0 | 0 | 0 | 0.78 | 0 | 1 | |
12 | Jordan Staal | 0 | C | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 3 | 1 | 1 | 0.00% | 1 | 10.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 90.91% | 11 | 0 | 1 | 0 | 0 | 0.96 | 0 | 0 | |
13 | Thomas Chabot | 0 | D | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 5 | 5 | 1 | 1 | 0.00% | 3 | 28.60 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 3 | 1 | 0 | 0 | 0.35 | 0 | 0 | |
14 | Alexander Nylander | 0 | LW/RW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 5 | 2 | 2 | 0.00% | 0 | 14.10 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 1 | 0 | 0 | 0 | 0.71 | 1 | 1 | |
15 | Erik Gustafsson | 0 | D | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 4 | 0 | 2 | 0.00% | 3 | 17.31 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.58 | 0 | 0 | |
16 | Michael Del Zotto | 0 | D | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 16.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Mattias Ekholm | 0 | D | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 2 | 3 | 0 | 0.00% | 1 | 23.99 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Oskar Sundqvist | 0 | C/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 7.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 36 | 8 | 16 | 24 | -3 | 10 | 0 | 31 | 81 | 24 | 44 | 9.88% | 26 | 16.90 | 0 | 0 | 0 | 79 | 0 | 0 | 0 | 39 | 0 | 0 | 63.12% | 141 | 19 | 13 | 0 | 1 | 0.79 | 1 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Connor Hellebuyck | Devils | 2 | 0 | 0 | 2 | 0.873 | 4.32 | 125 | 0 | 0 | 9 | 71 | 29 | 0 | 0 | 0.333 | 3 | 2 | 0 | 0 | 0 | 0 |
Team Total or Average | 2 | 0 | 0 | 2 | 0.873 | 4.32 | 125 | 0 | 0 | 9 | 71 | 29 | 0 | 0 | 0.333 | 3 | 2 | 0 | 0 | 0 | 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 |
# | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 10 | -2 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 3 | 0 | 5 | 1 | 81 | 19 | 31 | 30 | 4 | 71 | 26 | 10 | 31 | 9 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 33 | 52 | 63.46% | 27 | 45 | 60.00% | 29 | 40 | 72.50% | 46 | 28 | 44 | 17 | 34 | 18 | 44.4% | 9.9% | 85.9% | 95.8 | FUN | |
_Vs Division | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 10 | -2 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 3 | 0 | 5 | 1 | 81 | 19 | 31 | 30 | 4 | 71 | 26 | 10 | 31 | 9 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 33 | 52 | 63.46% | 27 | 45 | 60.00% | 29 | 40 | 72.50% | 46 | 28 | 44 | 17 | 34 | 18 | 44.4% | 9.9% | 85.9% | 95.8 | FUN | |
_Vs Conference | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 10 | -2 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 3 | 0 | 5 | 1 | 81 | 19 | 31 | 30 | 4 | 71 | 26 | 10 | 31 | 9 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 33 | 52 | 63.46% | 27 | 45 | 60.00% | 29 | 40 | 72.50% | 46 | 28 | 44 | 17 | 34 | 18 | 44.4% | 9.9% | 85.9% | 95.8 | FUN | |
_Since Last GM Reset | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 10 | -2 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 3 | 0 | 5 | 1 | 81 | 19 | 31 | 30 | 4 | 71 | 26 | 10 | 31 | 9 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 33 | 52 | 63.46% | 27 | 45 | 60.00% | 29 | 40 | 72.50% | 46 | 28 | 44 | 17 | 34 | 18 | 44.4% | 9.9% | 85.9% | 95.8 | FUN | |
Total | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 10 | -2 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 3 | 0 | 5 | 1 | 81 | 19 | 31 | 30 | 4 | 71 | 26 | 10 | 31 | 9 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 33 | 52 | 63.46% | 27 | 45 | 60.00% | 29 | 40 | 72.50% | 46 | 28 | 44 | 17 | 34 | 18 | 44.4% | 9.9% | 85.9% | 95.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 52 |
Neutral Zone Start | 40 |
Defensive Zone Start | 45 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 89 |
Faceoffs Lost | 48 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 25.0 | 20.31 |
3rd Period | 40.0 | 30.68 |
Overtime | 42.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.5 | 2.83 |
Even Strenght Goal | 8 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 1 | 1 |
PP Attempt | 9 |
---|---|
PP Goal | 0 |
PK Attempt | 5 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 40.5 |
Shots Against | 35.5 |
Goals For | 4.0 |
Goals Against | 5.0 |
Hits | 15.5 |
Shots Blocked | 13.0 |
Pim | 5.0 |
Projected Total Cap Hit | 84,938,864$ |
Projected Cap Space | 1,561,136$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 2,366,761$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2013-2014 | 2014-2015 | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 | 2020-2021 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Nylander ![]() | LW/RW | 22 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||
Andrew Cogliano ![]() | LW/RW | 33 | 1,700,000$ | 1,700,000$ | |||||||
Andy Greene ![]() | D | 37 | 1,200,000$ | 1,200,000$ | |||||||
Brandon Dubinsky ![]() | C/LW | 34 | 900,000$ | 900,000$ | |||||||
Connor Hellebuyck | C | 27 | 6,166,666$ | 6,166,666$ | 6,166,666$ | ||||||
Erik Gustafsson ![]() | D | 28 | 1,200,000$ | 1,200,000$ | |||||||
Jake Debrusk ![]() | LW/RW | 23 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||
Jake Gardiner | D | 30 | 4,050,000$ | 4,050,000$ | 4,050,000$ | ||||||
Jakob Silfverberg | RW | 29 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
Jean-Gabriel Pageau ![]() | C | 27 | 3,798,500$ | 3,798,500$ | 3,798,500$ | 3,798,500$ | |||||
Jordan Staal | C | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||||
Malcolm Subban ![]() | LW/D | 26 | 1,800,000$ | 1,800,000$ | |||||||
Mattias Ekholm | D | 30 | 3,750,000$ | 3,750,000$ | |||||||
Michael Del Zotto ![]() | D | 30 | 3,100,000$ | 3,100,000$ | |||||||
Mitch Marner | RW | 23 | 10,893,000$ | 10,893,000$ | 10,893,000$ | ||||||
Oskar Sundqvist ![]() | C/RW | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Patrick Marleau ![]() | C/LW | 40 | 685,000$ | 685,000$ | |||||||
Patrik Laine | LW/RW | 22 | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | ||||
Scott Harrington ![]() | D | 27 | 1,633,333$ | 1,633,333$ | |||||||
Thomas Chabot | D | 23 | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||||||
Travis Zajac | C | 35 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
Vincent Trocheck | C | 27 | 4,750,000$ | 4,750,000$ | |||||||
William Nylander | C/RW | 24 | 6,962,366$ | 6,962,366$ | 6,962,366$ |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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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 |
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Andrew Perrott | 2 | 46 | |||
Ben Zloty | 2 | 70 | |||
David Kase | 1 | ||||
Jack Works | 2 | 94 | |||
Julien Gauthier | 1 | ||||
Landon Bow | 1 | ||||
Nate Schnarr | 1 | ||||
Nathan Bastian | 1 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,938,864$ | 0$ | 84,938,864$ | 1,561,136$ |
Arena | Goal Horn | About us | |
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![]() | Name | Prudential Center | |
City | New Jersey | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 4226 | 3961 | 1605 | 2952 | 947 |
Attendance PCT | 70.43% | 79.22% | 80.25% | 73.80% | 94.70% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 13691 - 76.06% | 3,907,748$ | 3,907,748$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,938,864$ | 84,938,864$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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2,435,728$ | 84,938,864$ | 2,366,761$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
156,309,920$ | 141 | 603,027$ | 85,026,807$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
88,388,657$ | 84,938,864$ | 290,065,849$ | 374,447,112$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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7 | ||||
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