|
|
|
|
|
|
|
Full Scoreboard »» |
![]() | Utica Comets 10-15-5, 25pts · 15th in Conference 1 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Juuso Parssinen | 0 | C/LW/RW | 100.00 | 75 | 46 | 85 | 73 | 87 | 83 | 74 | 71 | 69 | 69 | 67 | 68 | 71 | 59 | 50 | 1 | 50 | 69 | 24 | 975,000$/1yrs | |||
Brett Berard | 0 | LW | 100.00 | 64 | 42 | 74 | 75 | 68 | 74 | 64 | 69 | 42 | 63 | 65 | 60 | 70 | 51 | 50 | 1 | 50 | 64 | 22 | 975,000$/2yrs | |||
Samuel Helenius | 0 | C | 100.00 | 79 | 61 | 72 | 69 | 82 | 70 | 66 | 65 | 61 | 60 | 60 | 65 | 65 | 52 | 50 | 1 | 50 | 64 | 22 | 975,000$/1yrs | |||
Ryan Winterton | 0 | C/RW | 100.00 | 65 | 42 | 71 | 71 | 63 | 62 | 59 | 64 | 44 | 60 | 61 | 64 | 65 | 50 | 50 | 1 | 50 | 61 | 21 | 975,000$/2yrs | |||
Samuel Fagemo | 0 | LW/RW | 100.00 | 58 | 42 | 69 | 67 | 64 | 66 | 64 | 67 | 45 | 60 | 66 | 54 | 67 | 53 | 50 | 1 | 50 | 61 | 25 | 1,575,000$/1yrs | |||
Rory Kerins | 0 | C | 100.00 | 61 | 41 | 73 | 70 | 63 | 64 | 62 | 64 | 62 | 62 | 62 | 60 | 65 | 51 | 50 | 1 | 50 | 61 | 23 | 975,000$/1yrs | |||
Justin Sourdif | 0 | RW | 100.00 | 57 | 46 | 63 | 69 | 59 | 64 | 62 | 64 | 43 | 62 | 58 | 58 | 64 | 51 | 50 | 1 | 50 | 60 | 23 | 975,000$/1yrs | |||
Adam Beckman | 0 | LW/RW | 100.00 | 58 | 42 | 71 | 64 | 64 | 65 | 63 | 64 | 44 | 61 | 60 | 53 | 63 | 52 | 50 | 1 | 50 | 59 | 24 | 1,200,000$/1yrs | |||
Judd Caulfield | 0 | RW | 100.00 | 64 | 43 | 68 | 62 | 68 | 65 | 63 | 62 | 43 | 59 | 56 | 60 | 60 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/2yrs | |||
Tyler Tucker | 0 | D | 100.00 | 72 | 77 | 58 | 75 | 83 | 83 | 69 | 69 | 40 | 63 | 64 | 72 | 69 | 59 | 50 | 1 | 50 | 69 | 25 | 1,500,000$/2yrs | |||
Ryan Johnson | 0 | D | 100.00 | 62 | 43 | 71 | 68 | 70 | 70 | 63 | 65 | 40 | 60 | 56 | 68 | 63 | 52 | 50 | 1 | 50 | 63 | 23 | 975,000$/2yrs | |||
Kirill Kudryavtsev (R) | 0 | D | 100.00 | 64 | 41 | 67 | 64 | 62 | 61 | 60 | 61 | 40 | 61 | 56 | 66 | 61 | 50 | 50 | 1 | 50 | 61 | 21 | 825,000$/2yrs | |||
David Spacek | 0 | D | 100.00 | 55 | 42 | 70 | 67 | 61 | 65 | 63 | 64 | 40 | 61 | 55 | 59 | 62 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/2yrs | |||
Vsevolod Komarov (R) | 0 | D | 100.00 | 64 | 48 | 57 | 62 | 65 | 61 | 60 | 62 | 40 | 59 | 55 | 64 | 60 | 50 | 50 | 1 | 50 | 60 | 21 | 835,000$/2yrs | |||
Elias Salomonsson (R) | 0 | D | 100.00 | 60 | 41 | 67 | 62 | 62 | 58 | 56 | 61 | 40 | 61 | 56 | 63 | 60 | 50 | 50 | 1 | 50 | 59 | 20 | 815,000$/2yrs | |||
Roman Schmidt (R) | 0 | D | 100.00 | 64 | 47 | 58 | 62 | 67 | 61 | 60 | 58 | 40 | 54 | 55 | 64 | 58 | 50 | 50 | 1 | 50 | 59 | 22 | 805,833$/1yrs | |||
Jack Peart (R) | 0 | D | 100.00 | 60 | 42 | 64 | 62 | 62 | 61 | 60 | 58 | 40 | 54 | 54 | 61 | 58 | 50 | 50 | 1 | 50 | 58 | 22 | 925,000$/2yrs | |||
Joni Jurmo (R) | 0 | D | 100.00 | 62 | 40 | 66 | 60 | 66 | 59 | 57 | 55 | 40 | 53 | 53 | 61 | 56 | 51 | 50 | 1 | 50 | 58 | 23 | 850,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Fabian Lysell | 0 | RW | 100.00 | 61 | 43 | 66 | 71 | 61 | 62 | 60 | 64 | 44 | 64 | 57 | 62 | 64 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/1yrs | |||
Niko Huuhtanen (R) | 0 | RW | 100.00 | 64 | 42 | 62 | 62 | 64 | 61 | 60 | 60 | 42 | 57 | 55 | 62 | 59 | 50 | 50 | 1 | 50 | 58 | 22 | 867,500$/2yrs | |||
Zayde Wisdom | 0 | RW | 100.00 | 63 | 43 | 68 | 64 | 64 | 64 | 62 | 60 | 57 | 57 | 55 | 58 | 60 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
Oskar Pettersson | 0 | RW | 100.00 | 63 | 41 | 71 | 62 | 66 | 61 | 58 | 59 | 41 | 53 | 54 | 55 | 59 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/2yrs | |||
David Goyette (R) | 0 | C | 100.00 | 59 | 41 | 67 | 62 | 58 | 61 | 59 | 58 | 41 | 57 | 55 | 59 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 891,667$/2yrs | |||
Jakub Stancl (R) | 0 | C | 100.00 | 61 | 40 | 66 | 58 | 64 | 55 | 53 | 55 | 40 | 54 | 53 | 54 | 55 | 50 | 50 | 1 | 50 | 55 | 20 | 866,667$/2yrs | |||
Ty Gallagher (R) | 0 | D | 100.00 | 60 | 40 | 66 | 62 | 61 | 58 | 57 | 56 | 40 | 54 | 54 | 61 | 57 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/1yrs | |||
Lukas Cormier | 0 | D | 100.00 | 55 | 42 | 69 | 66 | 63 | 61 | 59 | 59 | 40 | 57 | 53 | 58 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
Andrew Lucas | 0 | D | 100.00 | 54 | 40 | 69 | 66 | 56 | 63 | 60 | 55 | 40 | 52 | 51 | 61 | 57 | 53 | 50 | 1 | 50 | 57 | 26 | 1,200,000$/4yrs | |||
Eamon Powell (R) | 0 | D | 100.00 | 55 | 40 | 66 | 64 | 57 | 59 | 57 | 55 | 40 | 54 | 54 | 60 | 58 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/1yrs | |||
Jake Furlong (R) | 0 | D | 100.00 | 59 | 41 | 68 | 61 | 63 | 61 | 60 | 59 | 40 | 55 | 54 | 57 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 841,667$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trent Miner | 0 | 100.00 | 73 | 62 | 64 | 63 | 68 | 70 | 72 | 71 | 71 | 68 | 57 | 51 | 50 | 1 | 50 | 62 | 24 | 1,250,000$/1yrs |
Colten Ellis | 0 | 100.00 | 72 | 61 | 64 | 62 | 66 | 68 | 71 | 68 | 69 | 67 | 57 | 52 | 50 | 1 | 50 | 61 | 24 | 975,000$/2yrs |
| Scratches | ||||||||||||||||||||
Garin Bjorklund | 0 | 100.00 | 66 | 57 | 57 | 60 | 62 | 63 | 63 | 63 | 63 | 62 | 54 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/1yrs |
Evan Gardner | 0 | 100.00 | 59 | 57 | 57 | 61 | 58 | 55 | 55 | 54 | 54 | 58 | 54 | 50 | 50 | 1 | 50 | 52 | 19 | 975,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Benoit Groulx | 63 | 63 | 65 | 62 | 63 | 58 | 1 | CAN | 57 | 1 | 500,000$ |
| General Manager |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Juuso Parssinen | Comets (NJD) | C/LW/RW | 30 | 12 | 9 | 21 | -15 | 2 | 0 | 54 | 61 | 28 | 32 | 19.67% | 7 | 24.55 | 5 | 5 | 10 | 0 | 0 | 0 | 39 | 2 | 1 | 55.26% | 0 | 0 | 0.70 | 1 | 4 | 0.52 | |||
| 2 | Fabian Lysell | Comets (NJD) | RW | 30 | 7 | 6 | 13 | -10 | 19 | 5 | 41 | 46 | 14 | 38 | 15.22% | 10 | 22.19 | 4 | 4 | 8 | 0 | 0 | 0 | 20 | 1 | 2 | 54.29% | 1 | 0 | 0.43 | 1 | 1 | 0.24 | |||
| 3 | Samuel Fagemo | Comets (NJD) | LW/RW | 30 | 2 | 6 | 8 | -8 | 6 | 0 | 42 | 41 | 9 | 31 | 4.88% | 8 | 22.64 | 1 | 4 | 5 | 0 | 0 | 0 | 36 | 1 | 0 | 34.78% | 0 | 0 | 0.27 | 2 | 4 | 0.19 | |||
| 4 | David Spacek | Comets (NJD) | D | 30 | 1 | 5 | 6 | -13 | 4 | 0 | 36 | 17 | 1 | 6 | 5.88% | 24 | 24.28 | 1 | 1 | 2 | 0 | 0 | 0 | 46 | 1 | 0 | 100.00% | 0 | 0 | 0.20 | 0 | 0 | 0.03 | |||
| 5 | Tyler Tucker | Comets (NJD) | D | 30 | 0 | 6 | 6 | -6 | 38 | 10 | 37 | 12 | 7 | 11 | 0.00% | 23 | 19.56 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | -0.09 | |||
| 6 | Ryan Johnson | Comets (NJD) | D | 30 | 1 | 4 | 5 | -16 | 30 | 10 | 28 | 22 | 8 | 11 | 4.55% | 48 | 26.78 | 1 | 2 | 3 | 0 | 0 | 0 | 41 | 0 | 0 | 100.00% | 0 | 0 | 0.17 | 0 | 0 | -0.12 | |||
| 7 | Ryan Winterton | Comets (NJD) | C/RW | 30 | 1 | 4 | 5 | -15 | 0 | 0 | 36 | 23 | 7 | 17 | 4.35% | 10 | 20.18 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 1 | 0 | 38.64% | 0 | 0 | 0.17 | 0 | 1 | -0.01 | |||
| 8 | Brett Berard | Comets (NJD) | LW | 30 | 1 | 3 | 4 | -22 | 7 | 5 | 41 | 30 | 18 | 19 | 3.33% | 15 | 21.52 | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 41.94% | 0 | 0 | 0.13 | 1 | 4 | -0.10 | |||
| 9 | Adam Beckman | Comets (NJD) | LW/RW | 30 | 2 | 1 | 3 | -8 | 4 | 0 | 42 | 12 | 4 | 11 | 16.67% | 2 | 16.09 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 1 | 0 | 53.85% | 0 | 0 | 0.10 | 0 | 0 | 0.00 | |||
| 10 | Justin Sourdif | Comets (NJD) | RW | 20 | 1 | 1 | 2 | 0 | 2 | 0 | 12 | 5 | 3 | 1 | 20.00% | 2 | 9.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.28% | 1 | 0 | 0.10 | 0 | 0 | 0.08 | |||
| 11 | Judd Caulfield | Comets (NJD) | RW | 30 | 1 | 0 | 1 | -2 | 2 | 0 | 26 | 5 | 0 | 4 | 20.00% | 2 | 10.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 66.67% | 0 | 0 | 0.03 | 0 | 0 | 0.02 | |||
| 12 | Vsevolod Komarov | Comets (NJD) | D | 30 | 1 | 0 | 1 | -3 | 6 | 0 | 18 | 3 | 3 | 2 | 33.33% | 13 | 17.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.03 | |||
| 13 | Samuel Helenius | Comets (NJD) | C | 30 | 0 | 1 | 1 | -16 | 15 | 5 | 46 | 6 | 4 | 7 | 0.00% | 11 | 18.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 0 | 0 | 0.03 | 0 | 0 | -0.20 | |||
| 14 | Elias Salomonsson | Comets (NJD) | D | 30 | 0 | 0 | 0 | -9 | 6 | 0 | 15 | 3 | 2 | 0 | 0.00% | 17 | 15.46 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.12 | |||
| 15 | Jakub Stancl | Comets (NJD) | C | 10 | 0 | 0 | 0 | -2 | 2 | 0 | 11 | 0 | 0 | 0 | 0.00% | 2 | 12.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.46% | 0 | 0 | 0.00 | 0 | 0 | -0.10 | |||
| 16 | Joni Jurmo | Comets (NJD) | D | 30 | 0 | 0 | 0 | -2 | 0 | 0 | 4 | 0 | 0 | 0 | 0.00% | 0 | 5.06 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
| 17 | Kirill Kudryavtsev | Comets (NJD) | D | 30 | 0 | 0 | 0 | -19 | 9 | 5 | 12 | 7 | 1 | 2 | 0.00% | 14 | 16.71 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.25 | |||
| 18 | Roman Schmidt | Comets (NJD) | D | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 0 | 0.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 19 | Rory Kerins | Comets (NJD) | C | 30 | 0 | 0 | 0 | -5 | 0 | 0 | 14 | 3 | 1 | 1 | 0.00% | 3 | 7.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.76% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
| Team Total or Average | 540 | 30 | 46 | 76 | -171 | 152 | 40 | 518 | 296 | 110 | 193 | 10.14% | 211 | 16.67 | 12 | 17 | 29 | 381 | 0 | 0 | 0 | 297 | 7 | 4 | 49.86% | 1091 | 109 | 168 | 2 | 0 | 0.17 | 5 | 14 |
| 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 | Trent Miner | Comets (NJD) | 26 | 7 | 14 | 5 | 0.898 | 2.23 | 1560 | 0 | 3 | 58 | 567 | 279 | 0 | 0 | 0.833 | 6 | 26 | 4 | 2 | 0 | 3 |
| 2 | Colten Ellis | Comets (NJD) | 5 | 3 | 1 | 0 | 0.892 | 1.60 | 263 | 0 | 1 | 7 | 65 | 31 | 0 | 0 | 0.750 | 8 | 4 | 26 | 0 | 1 | 0 |
| Team Total or Average | 31 | 10 | 15 | 5 | 0.897 | 2.14 | 1824 | 0 | 4 | 65 | 632 | 310 | 0 | 0 | 0.786 | 14 | 30 | 30 | 2 | 1 | 3 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Beckman | LW/RW | 24 | 1,200,000$ | 1,200,000$ | |||||||
| Andrew Lucas | D | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
| Brett Berard | LW | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Colten Ellis | G | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| David Goyette | C | 21 | 891,667$ | 975,000$ | 975,000$ | RFA | |||||
| David Spacek | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Eamon Powell | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Elias Salomonsson | D | 20 | 815,000$ | 975,000$ | 975,000$ | RFA | |||||
| Evan Gardner | G | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Fabian Lysell | RW | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Garin Bjorklund | G | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Jack Peart | D | 22 | 925,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jake Furlong | D | 21 | 841,667$ | 975,000$ | 975,000$ | RFA | |||||
| Jakub Stancl | C | 20 | 866,667$ | 975,000$ | 975,000$ | RFA | |||||
| Joni Jurmo | D | 23 | 850,000$ | 975,000$ | RFA | ||||||
| Judd Caulfield | RW | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Justin Sourdif | RW | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Juuso Parssinen | C/LW/RW | 24 | 975,000$ | 975,000$ | |||||||
| Kirill Kudryavtsev | D | 21 | 825,000$ | 975,000$ | 975,000$ | RFA | |||||
| Lukas Cormier | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Niko Huuhtanen | RW | 22 | 867,500$ | 975,000$ | 975,000$ | RFA | |||||
| Oskar Pettersson | RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Roman Schmidt | D | 22 | 805,833$ | 975,000$ | RFA | ||||||
| Rory Kerins | C | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Ryan Johnson | D | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Ryan Winterton | C/RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Samuel Fagemo | LW/RW | 25 | 1,575,000$ | 1,575,000$ | |||||||
| Samuel Helenius | C | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Trent Miner | G | 24 | 1,250,000$ | 1,250,000$ | |||||||
| Ty Gallagher | D | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Tyler Tucker | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
| Vsevolod Komarov | D | 21 | 835,000$ | 975,000$ | 975,000$ | RFA | |||||
| Zayde Wisdom | RW | 23 | 975,000$ | 975,000$ | 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 | Gulls | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 6 | 8 | 13 | 8 | 19 | 53 | 98 | 137 | 22 | 22 | 12 | 6 | 35 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 0.0% | 10.5% | 81.8% | 92.3 | FUN |
| 2 | Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | 13 | 8 | 12 | 53 | 98 | 137 | 22 | 43 | 17 | 9 | 24 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 0.0% | 0.0% | 90.7% | 90.7 | Unlucky |
| 3 | Americans | 3 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 2 | -1 | 3 | 0.500 | 1 | 0 | 1 | 0 | 1 | 6 | 8 | 13 | 8 | 19 | 53 | 98 | 137 | 22 | 32 | 5 | 10 | 51 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 33.3% | 5.3% | 93.8% | 99.0 | DULL |
| 4 | Heat | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 1 | 0.500 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | 13 | 8 | 9 | 53 | 98 | 137 | 22 | 18 | 7 | 2 | 19 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 0.0% | 0.0% | 94.4% | 94.4 | DULL |
| 5 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | 13 | 8 | 15 | 53 | 98 | 137 | 22 | 71 | 26 | 6 | 35 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 0.0% | 0.0% | 91.5% | 91.5 | DULL |
| 6 | Monsters | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 6 | 8 | 13 | 8 | 26 | 53 | 98 | 137 | 22 | 36 | 11 | 23 | 27 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 50.0% | 7.7% | 91.7% | 99.4 | DULL |
| 7 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 8 | 13 | 8 | 8 | 53 | 98 | 137 | 22 | 24 | 3 | 0 | 20 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 0.0% | 12.5% | 83.3% | 95.8 | FUN |
| 8 | Checkers 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 6 | 8 | 13 | 8 | 3 | 53 | 98 | 137 | 22 | 11 | 4 | 5 | 16 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 66.7% | 66.7% | 90.9% | 157.6 | FUN |
| 9 | Wild | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 3 | 0.750 | 2 | 1 | 3 | 0 | 0 | 6 | 8 | 13 | 8 | 11 | 53 | 98 | 137 | 22 | 19 | 7 | 10 | 19 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 50.0% | 18.2% | 89.5% | 107.7 | FUN |
| 10 | Rocket | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.500 | 3 | 5 | 8 | 0 | 1 | 6 | 8 | 13 | 8 | 30 | 53 | 98 | 137 | 22 | 35 | 14 | 6 | 62 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 33.3% | 10.0% | 91.4% | 101.4 | LUCKY |
| 11 | Admirals | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 0 | 1 | 0 | 1 | 6 | 8 | 13 | 8 | 16 | 53 | 98 | 137 | 22 | 6 | 0 | 0 | 18 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 100.0% | 6.3% | 100.0% | 106.3 | DULL |
| 12 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 6 | 8 | 13 | 8 | 27 | 53 | 98 | 137 | 22 | 83 | 28 | 10 | 33 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 37.5% | 14.8% | 90.4% | 105.2 | FUN |
| 13 | Belleville Senators | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 2 | 0.333 | 4 | 5 | 9 | 0 | 0 | 6 | 8 | 13 | 8 | 36 | 53 | 98 | 137 | 22 | 76 | 22 | 26 | 56 | 8 | 2 | 25.00% | 3 | 1 | 66.67% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 20.0% | 11.1% | 88.2% | 99.3 | FUN |
| 14 | Crunch | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 6 | 8 | 13 | 8 | 12 | 53 | 98 | 137 | 22 | 18 | 10 | 0 | 11 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 33.3% | 8.3% | 88.9% | 97.2 | Unlucky |
| 15 | Marlies | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 13 | -7 | 2 | 0.333 | 6 | 8 | 14 | 0 | 0 | 6 | 8 | 13 | 8 | 37 | 53 | 98 | 137 | 22 | 100 | 33 | 33 | 50 | 4 | 1 | 25.00% | 9 | 3 | 66.67% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 33.3% | 16.2% | 87.0% | 103.2 | FUN |
| 16 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 8 | 13 | 8 | 8 | 53 | 98 | 137 | 22 | 25 | 7 | 2 | 19 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 33.3% | 12.5% | 88.0% | 100.5 | FUN |
| 17 | Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 6 | 8 | 13 | 8 | 8 | 53 | 98 | 137 | 22 | 13 | 5 | 4 | 23 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 50.0% | 37.5% | 92.3% | 129.8 | LUCKY |
| _Vs Division | 6 | 2 | 8 | 0 | 2 | 2 | 1 | 1 | 6 | 17 | -11 | 13 | 1.083 | 6 | 10 | 16 | 0 | 0 | 6 | 8 | 13 | 8 | 68 | 53 | 98 | 137 | 22 | 190 | 65 | 39 | 95 | 9 | 1 | 11.11% | 12 | 4 | 66.67% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 27.8% | 8.8% | 91.1% | 99.9 | Unlucky | |
| _Vs Conference | 22 | 3 | 13 | 0 | 2 | 2 | 1 | 1 | 24 | 54 | -30 | 15 | 0.341 | 24 | 34 | 58 | 0 | 2 | 6 | 8 | 13 | 8 | 225 | 53 | 98 | 137 | 22 | 530 | 177 | 130 | 384 | 33 | 6 | 18.18% | 35 | 10 | 71.43% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 29.0% | 10.7% | 89.8% | 100.5 | FUN | |
| _Since Last GM Reset | 30 | 4 | 15 | 0 | 3 | 4 | 3 | 1 | 33 | 66 | -33 | 25 | 0.417 | 33 | 46 | 79 | 0 | 3 | 6 | 8 | 13 | 8 | 296 | 53 | 98 | 137 | 22 | 632 | 211 | 152 | 518 | 49 | 12 | 24.49% | 46 | 12 | 73.91% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 28.0% | 11.1% | 89.6% | 100.7 | FUN | |
| Total | 30 | 4 | 15 | 0 | 3 | 4 | 3 | 1 | 33 | 66 | -33 | 25 | 0.417 | 33 | 46 | 79 | 0 | 3 | 6 | 8 | 13 | 8 | 296 | 53 | 98 | 137 | 22 | 632 | 211 | 152 | 518 | 49 | 12 | 24.49% | 46 | 12 | 73.91% | 0 | 178 | 327 | 54.43% | 235 | 477 | 49.27% | 131 | 263 | 49.81% | 489 | 155 | 582 | 332 | 754 | 391 | 28.0% | 11.1% | 89.6% | 100.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 25 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 327 |
| Neutral Zone Start | 263 |
| Defensive Zone Start | 477 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 544 |
| Faceoffs Lost | 523 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 1.8 | 9.57 |
| 2nd Period | 5.0 | 20.31 |
| 3rd Period | 9.6 | 30.68 |
| Overtime | 10.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.5 | 1.65 |
| 3rd Period | 0.9 | 2.67 |
| Overtime | 1.2 | 2.83 |
| Even Strenght Goal | 21 |
|---|---|
| PP Goal | 12 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 6 | 4 |
| Lost | 6 | 9 |
| Overtime Lost | 3 | 2 |
| PP Attempt | 49 |
|---|---|
| PP Goal | 12 |
| PK Attempt | 46 |
| PK Goal Against | 12 |
| Home | |
|---|---|
| Shots For | 9.9 |
| Shots Against | 21.1 |
| Goals For | 1.1 |
| Goals Against | 2.2 |
| Hits | 17.3 |
| Shots Blocked | 7.0 |
| Pim | 5.1 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Thu, Oct 9 | CLB | @ | NJD | CLB1,NJD2 (OT) | RECAP | |||||||||
| Sat, Oct 11 | NJD | @ | TAM | NJD1,TAM2 (OT) | RECAP | |||||||||
| Mon, Oct 13 | BUF | @ | NJD | BUF1,NJD0 (OT) | RECAP | |||||||||
| Tue, Oct 14 | NJD | @ | MTL | NJD0,MTL2 | RECAP | |||||||||
| Fri, Oct 17 | OTT | @ | NJD | OTT1,NJD3 | RECAP | |||||||||
| Sun, Oct 19 | NJD | @ | CLB | NJD0,CLB2 | RECAP | |||||||||
| Wed, Oct 22 | MTL | @ | NJD | MTL0,NJD3 | RECAP | |||||||||
| Fri, Oct 24 | NJD | @ | MTL | NJD0,MTL1 (SO) | RECAP | |||||||||
| Sun, Oct 26 | TOR | @ | NJD | TOR8,NJD1 | RECAP | |||||||||
| Tue, Oct 28 | CAL | @ | NJD | CAL1,NJD0 (OT) | RECAP | |||||||||
| Thu, Oct 30 | NJD | @ | BUF | NJD1,BUF0 (SO) | RECAP | |||||||||
| Sat, Nov 1 | NJD | @ | DET | NJD1,DET4 | RECAP | |||||||||
| Sun, Nov 2 | CAR | @ | NJD | CAR2,NJD0 | RECAP | |||||||||
| Wed, Nov 5 | VAN | @ | NJD | VAN3,NJD1 | RECAP | |||||||||
| Thu, Nov 6 | NJD | @ | TOR | NJD1,TOR2 | RECAP | |||||||||
| Sun, Nov 9 | BUF | @ | NJD | BUF1,NJD0 | RECAP | |||||||||
| Mon, Nov 10 | NJD | @ | BOS | NJD0,BOS4 | RECAP | |||||||||
| Wed, Nov 12 | NJD | @ | TOR | NJD4,TOR3 (OT) | RECAP | |||||||||
| Thu, Nov 13 | ANA | @ | NJD | ANA1,NJD2 (OT) | RECAP | |||||||||
| Sun, Nov 16 | NJD | @ | CHI | NJD3,CHI1 | RECAP | |||||||||
| Mon, Nov 17 | MIN | @ | NJD | MIN1,NJD0 (OT) | RECAP | |||||||||
| Wed, Nov 19 | NJD | @ | ANA | NJD0,ANA3 | RECAP | |||||||||
| Fri, Nov 21 | OTT | @ | NJD | OTT6,NJD1 | RECAP | |||||||||
| Mon, Nov 24 | NJD | @ | OTT | NJD0,OTT2 | RECAP | |||||||||
| Wed, Nov 26 | NYR | @ | NJD | NYR5,NJD4 | RECAP | |||||||||
| Thu, Nov 27 | NJD | @ | NYR | NJD0,NYR3 | RECAP | |||||||||
| Sat, Nov 29 | NAS | @ | NJD | NAS0,NJD1 (SO) | RECAP | |||||||||
| Tue, Dec 2 | NJD | @ | CAR | NJD0,CAR4 | RECAP | |||||||||
| Thu, Dec 4 | FLO | @ | NJD | FLO1,NJD2 | RECAP | |||||||||
| Fri, Dec 5 | NJD | @ | MIN | NJD2,MIN1 (SO) | RECAP | |||||||||
| Mon, Dec 8 | NJD | @ | CAL | |||||||||||
| Tue, Dec 9 | BUF | @ | NJD | |||||||||||
| Fri, Dec 12 | CLB | @ | NJD | |||||||||||
| Sun, Dec 14 | NJD | @ | NYI | |||||||||||
| Mon, Dec 15 | NJD | @ | PIT | |||||||||||
| Wed, Dec 17 | LOS | @ | NJD | |||||||||||
| Sat, Dec 20 | NJD | @ | NAS | |||||||||||
| Sun, Dec 21 | COL | @ | NJD | |||||||||||
| Tue, Dec 23 | NJD | @ | FLO | |||||||||||
| Thu, Dec 25 | TOR | @ | NJD | |||||||||||
| Mon, Dec 29 | NJD | @ | PHI | |||||||||||
| Wed, Dec 31 | BOS | @ | NJD | |||||||||||
| Sat, Jan 3 | CHI | @ | NJD | |||||||||||
| Mon, Jan 5 | NJD | @ | PHO | |||||||||||
| Wed, Jan 7 | NJD | @ | CHI | |||||||||||
| Fri, Jan 9 | NYI | @ | NJD | |||||||||||
| Sun, Jan 11 | S J | @ | NJD | |||||||||||
| Tue, Jan 13 | NJD | @ | WPG | |||||||||||
| Thu, Jan 15 | STL | @ | NJD | |||||||||||
| Fri, Jan 16 | NJD | @ | COL | |||||||||||
| Sun, Jan 18 | NJD | @ | VAN | |||||||||||
| Tue, Jan 20 | DET | @ | NJD | |||||||||||
| Thu, Jan 22 | NJD | @ | LOS | |||||||||||
| Fri, Jan 23 | NJD | @ | WAS | |||||||||||
| Sun, Jan 25 | WAS | @ | NJD | |||||||||||
| Tue, Jan 27 | MTL | @ | NJD | |||||||||||
| Thu, Jan 29 | NJD | @ | S J | |||||||||||
| Sat, Jan 31 | PHO | @ | NJD | |||||||||||
| Tue, Feb 3 | DAL | @ | NJD | |||||||||||
| Wed, Feb 4 | NJD | @ | EDM | |||||||||||
| Fri, Feb 6 | NJD | @ | VAN | |||||||||||
| Sun, Feb 8 | PIT | @ | NJD | |||||||||||
| Wed, Feb 11 | NJD | @ | SEA | |||||||||||
| Thu, Feb 12 | CAR | @ | NJD | |||||||||||
| Sun, Feb 15 | NJD | @ | MTL | |||||||||||
| Mon, Feb 16 | NJD | @ | STL | |||||||||||
| Tue, Feb 17 | CHI | @ | NJD | |||||||||||
| Fri, Feb 20 | SEA | @ | NJD | |||||||||||
| Sun, Feb 22 | NJD | @ | TAM | |||||||||||
| Tue, Feb 24 | NJD | @ | WPG | |||||||||||
| Wed, Feb 25 | TAM | @ | NJD | |||||||||||
| Fri, Feb 27 | TAM | @ | NJD | |||||||||||
| Tue, Mar 3 | NJD | @ | CLB | |||||||||||
| Wed, Mar 4 | EDM | @ | NJD | |||||||||||
| Sat, Mar 7 | NJD | @ | DAL | |||||||||||
| Mon, Mar 9 | WPG | @ | NJD | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Wed, Mar 11 | CAL | @ | NJD | |||||||||||
| Sun, Mar 15 | PHI | @ | NJD | |||||||||||
| Tue, Mar 17 | NJD | @ | DET | |||||||||||
| Wed, Mar 18 | NJD | @ | BUF | |||||||||||
| Sat, Mar 21 | VAN | @ | NJD | |||||||||||
| Sun, Mar 22 | NJD | @ | OTT | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,402,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Utica | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,402,500$ | 3,402,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,408,612$ | 0$ | 1,228,113$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 23,092$ | 2,493,936$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,493,936$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
|
|
|
|
| Defense #1 | Defense #2 | Goalie |
|---|---|---|
|
|
|
Stuart Skinner is out for 1 days because of a Exhaustion.
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||


