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Full Scoreboard »» |
![]() | Utica Comets 18-31-9, 45pts · 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$/1yrs | |||
Fabian Lysell | 0 | RW | 100.00 | 61 | 43 | 66 | 71 | 61 | 62 | 60 | 64 | 44 | 64 | 57 | 62 | 64 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/1yrs | |||
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$/1yrs | |||
Justin Hryckowian | 0 | C | 100.00 | 61 | 42 | 69 | 69 | 62 | 64 | 62 | 62 | 43 | 61 | 59 | 62 | 63 | 52 | 50 | 1 | 50 | 60 | 24 | 1,100,000$/2yrs | |||
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$/2yrs | |||
Wilmer Skoog | 0 | C | 100.00 | 60 | 45 | 66 | 62 | 65 | 67 | 65 | 63 | 43 | 58 | 57 | 55 | 60 | 52 | 50 | 1 | 50 | 59 | 25 | 1,000,000$/1yrs | |||
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 | |||
| Scratches | ||||||||||||||||||||||||||
Riley Fiddler-Schultz | 0 | C | 100.00 | 62 | 41 | 68 | 64 | 65 | 62 | 60 | 59 | 55 | 56 | 56 | 57 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 1,000,000$/2yrs | |||
Niko Huuhtanen (R) | 0 | RW | 100.00 | 64 | 42 | 62 | 62 | 64 | 61 | 60 | 60 | 42 | 57 | 55 | 62 | 59 | 50 | 50 | 1 | 50 | 58 | 22 | 867,500$/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 | |||
Riley Duran | 0 | C | 100.00 | 61 | 41 | 72 | 64 | 63 | 63 | 61 | 59 | 41 | 52 | 55 | 58 | 59 | 51 | 50 | 1 | 50 | 57 | 23 | 1,000,000$/1yrs | |||
David Goyette (R) | 0 | C | 100.00 | 59 | 41 | 67 | 62 | 58 | 61 | 59 | 58 | 41 | 57 | 55 | 59 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 891,667$/2yrs | |||
Tyler Kopff | 0 | LW | 100.00 | 62 | 40 | 66 | 58 | 65 | 58 | 57 | 55 | 40 | 54 | 53 | 57 | 55 | 50 | 50 | 1 | 50 | 56 | 22 | 1,000,000$/2yrs | |||
Jakub Stancl (R) | 0 | C | 100.00 | 61 | 40 | 66 | 58 | 64 | 55 | 53 | 55 | 40 | 54 | 53 | 54 | 55 | 50 | 50 | 1 | 50 | 55 | 20 | 866,667$/2yrs | |||
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$/1yrs | |||
Ty Gallagher (R) | 0 | D | 100.00 | 60 | 40 | 66 | 62 | 61 | 58 | 57 | 56 | 40 | 54 | 54 | 61 | 57 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/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$/1yrs | |||
Eamon Powell (R) | 0 | D | 100.00 | 55 | 40 | 66 | 64 | 57 | 59 | 57 | 55 | 40 | 54 | 54 | 60 | 58 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/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$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Colten Ellis | 0 | 100.00 | 72 | 61 | 64 | 62 | 66 | 68 | 71 | 68 | 69 | 67 | 57 | 52 | 50 | 1 | 50 | 61 | 24 | 975,000$/2yrs |
Garin Bjorklund | 0 | 100.00 | 66 | 57 | 57 | 60 | 62 | 63 | 63 | 63 | 63 | 62 | 54 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/1yrs |
| Scratches | ||||||||||||||||||||
Trent Miner | 0 | 100.00 | 73 | 62 | 64 | 63 | 68 | 70 | 72 | 71 | 71 | 68 | 57 | 51 | 50 | 1 | 50 | 62 | 24 | 1,250,000$/1yrs |
Ryan Fanti | 0 | 100.00 | 60 | 54 | 53 | 60 | 57 | 57 | 57 | 55 | 57 | 57 | 50 | 53 | 50 | 1 | 50 | 53 | 25 | 1,000,000$/1yrs |
Evan Gardner | 0 | 100.00 | 59 | 57 | 57 | 61 | 58 | 55 | 55 | 54 | 54 | 58 | 54 | 50 | 50 | 1 | 50 | 52 | 19 | 975,000$/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 | 58 | 16 | 27 | 43 | -24 | 4 | 0 | 81 | 116 | 40 | 71 | 13.79% | 22 | 24.33 | 6 | 12 | 18 | 0 | 0 | 0 | 74 | 2 | 2 | 55.13% | 0 | 0 | 0.74 | 4 | 10 | 0.56 | |||
| 2 | Samuel Fagemo | Comets (NJD) | LW/RW | 58 | 8 | 11 | 19 | -12 | 24 | 10 | 81 | 70 | 24 | 49 | 11.43% | 19 | 22.31 | 3 | 6 | 9 | 0 | 0 | 0 | 69 | 2 | 1 | 43.90% | 0 | 0 | 0.33 | 3 | 10 | 0.21 | |||
| 3 | Brett Berard | Comets (NJD) | LW | 58 | 8 | 10 | 18 | -36 | 9 | 5 | 78 | 89 | 31 | 47 | 8.99% | 21 | 21.81 | 3 | 4 | 7 | 0 | 0 | 0 | 19 | 0 | 2 | 47.37% | 0 | 0 | 0.31 | 2 | 9 | 0.12 | |||
| 4 | Fabian Lysell | Comets (NJD) | RW | 56 | 8 | 6 | 14 | -15 | 21 | 5 | 55 | 57 | 16 | 45 | 14.04% | 13 | 15.96 | 5 | 4 | 9 | 0 | 0 | 0 | 20 | 1 | 2 | 50.00% | 1 | 0 | 0.25 | 1 | 1 | 0.13 | |||
| 5 | Tyler Tucker | Comets (NJD) | D | 58 | 3 | 7 | 10 | -24 | 64 | 20 | 75 | 38 | 14 | 18 | 7.89% | 47 | 21.77 | 2 | 0 | 2 | 0 | 0 | 0 | 50 | 0 | 1 | 0.00% | 0 | 0 | 0.17 | 0 | 1 | -0.14 | |||
| 6 | Ryan Johnson | Comets (NJD) | D | 41 | 3 | 5 | 8 | -21 | 34 | 10 | 39 | 34 | 10 | 13 | 8.82% | 56 | 26.60 | 2 | 2 | 4 | 0 | 0 | 0 | 56 | 0 | 1 | 100.00% | 0 | 0 | 0.20 | 0 | 0 | -0.07 | |||
| 7 | Adam Beckman | Comets (NJD) | LW/RW | 58 | 3 | 4 | 7 | -15 | 8 | 0 | 72 | 27 | 8 | 23 | 11.11% | 11 | 17.41 | 0 | 1 | 1 | 0 | 0 | 0 | 46 | 2 | 0 | 43.18% | 0 | 0 | 0.12 | 0 | 0 | 0.03 | |||
| 8 | David Spacek | Comets (NJD) | D | 58 | 1 | 6 | 7 | -24 | 4 | 0 | 54 | 27 | 4 | 14 | 3.70% | 47 | 24.40 | 1 | 1 | 2 | 0 | 0 | 0 | 91 | 1 | 0 | 87.50% | 0 | 0 | 0.12 | 0 | 0 | -0.01 | |||
| 9 | Ryan Winterton | Comets (NJD) | C/RW | 58 | 2 | 5 | 7 | -29 | 4 | 0 | 74 | 39 | 16 | 29 | 5.13% | 19 | 19.80 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 2 | 0 | 39.35% | 0 | 0 | 0.12 | 2 | 4 | -0.05 | |||
| 10 | Samuel Helenius | Comets (NJD) | C | 58 | 6 | 1 | 7 | -26 | 29 | 15 | 77 | 32 | 11 | 25 | 18.75% | 19 | 19.86 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 1 | 54.29% | 0 | 0 | 0.12 | 0 | 1 | -0.08 | |||
| 11 | Vsevolod Komarov | Comets (NJD) | D | 58 | 1 | 3 | 4 | -7 | 18 | 0 | 45 | 6 | 3 | 4 | 16.67% | 18 | 17.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | -0.03 | |||
| 12 | Judd Caulfield | Comets (NJD) | RW | 58 | 1 | 2 | 3 | -7 | 8 | 0 | 54 | 11 | 4 | 7 | 9.09% | 4 | 12.63 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 42.86% | 0 | 0 | 0.05 | 0 | 0 | -0.00 | |||
| 13 | Justin Hryckowian | Comets (NJD) | C | 22 | 0 | 3 | 3 | -5 | 2 | 0 | 24 | 11 | 4 | 5 | 0.00% | 7 | 17.30 | 0 | 1 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 47.19% | 0 | 0 | 0.14 | 0 | 0 | 0.04 | |||
| 14 | Kirill Kudryavtsev | Comets (NJD) | D | 58 | 0 | 2 | 2 | -22 | 15 | 5 | 37 | 19 | 4 | 11 | 0.00% | 31 | 18.95 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.11 | |||
| 15 | Justin Sourdif | Comets (NJD) | RW | 48 | 1 | 1 | 2 | 0 | 2 | 0 | 16 | 7 | 3 | 2 | 14.29% | 2 | 5.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.28% | 1 | 0 | 0.04 | 0 | 0 | 0.04 | |||
| 16 | Rory Kerins | Comets (NJD) | C | 58 | 1 | 1 | 2 | -8 | 6 | 0 | 28 | 15 | 5 | 7 | 6.67% | 7 | 8.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.78% | 0 | 0 | 0.03 | 0 | 0 | -0.01 | |||
| 17 | Elias Salomonsson | Comets (NJD) | D | 58 | 0 | 1 | 1 | -19 | 14 | 0 | 24 | 7 | 2 | 0 | 0.00% | 28 | 16.53 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | -0.13 | |||
| 18 | Jack Peart | Comets (NJD) | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 8.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.21 | |||
| 19 | 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 | |||
| 20 | Joni Jurmo | Comets (NJD) | D | 58 | 0 | 0 | 0 | -4 | 2 | 0 | 13 | 2 | 1 | 1 | 0.00% | 1 | 6.87 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
| 21 | Roman Schmidt | Comets (NJD) | D | 58 | 0 | 0 | 0 | -1 | 0 | 0 | 6 | 0 | 0 | 0 | 0.00% | 1 | 1.81 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
| Team Total or Average | 1049 | 62 | 95 | 157 | -300 | 270 | 70 | 946 | 607 | 200 | 371 | 10.21% | 375 | 16.68 | 22 | 32 | 54 | 795 | 0 | 0 | 0 | 565 | 12 | 11 | 50.31% | 2065 | 198 | 306 | 2 | 0 | 0.18 | 12 | 36 |
| 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) | 51 | 13 | 29 | 9 | 0.894 | 2.18 | 3090 | 0 | 4 | 112 | 1055 | 545 | 1 | 4 | 0.690 | 29 | 51 | 6 | 2 | 0 | 4 |
| 2 | Colten Ellis | Comets (NJD) | 8 | 5 | 2 | 0 | 0.903 | 1.35 | 443 | 0 | 2 | 10 | 103 | 51 | 0 | 0 | 0.750 | 8 | 7 | 51 | 1 | 1 | 0 |
| Team Total or Average | 59 | 18 | 31 | 9 | 0.895 | 2.07 | 3534 | 0 | 6 | 122 | 1158 | 596 | 1 | 4 | 0.703 | 37 | 58 | 57 | 3 | 1 | 4 |
| 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$ | |||||||
| 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 Hryckowian | C | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
| 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 | |||||
| Riley Duran | C | 23 | 1,000,000$ | 1,000,000$ | |||||||
| Riley Fiddler-Schultz | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Roman Schmidt | D | 22 | 805,833$ | 975,000$ | RFA | ||||||
| Rory Kerins | C | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Ryan Fanti | G | 25 | 1,000,000$ | 1,000,000$ | |||||||
| 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 Kopff | LW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 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 | |||||
| Wilmer Skoog | C | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Zayde Wisdom | RW | 23 | 975,000$ | 975,000$ | RFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Gulls | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 9 | 23 | 25 | 17 | 19 | 103 | 218 | 256 | 64 | 22 | 12 | 6 | 35 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 0.0% | 10.5% | 81.8% | 92.3 | FUN |
| 2 | Moose | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 9 | 23 | 25 | 17 | 7 | 103 | 218 | 256 | 64 | 20 | 7 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 33.3% | 14.3% | 90.0% | 104.3 | FUN |
| 3 | Bruins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 9 | 23 | 25 | 17 | 21 | 103 | 218 | 256 | 64 | 81 | 24 | 11 | 40 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 0.0% | 4.8% | 91.4% | 96.1 | DULL |
| 4 | Americans | 4 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 3 | 0 | 5 | 0.625 | 3 | 2 | 5 | 0 | 1 | 9 | 23 | 25 | 17 | 37 | 103 | 218 | 256 | 64 | 45 | 9 | 12 | 70 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 50.0% | 8.1% | 93.3% | 101.4 | DULL |
| 5 | Heat | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | -3 | 1 | 0.250 | 0 | 0 | 0 | 0 | 0 | 9 | 23 | 25 | 17 | 11 | 103 | 218 | 256 | 64 | 29 | 9 | 2 | 34 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 0.0% | 0.0% | 89.7% | 89.7 | Unlucky |
| 6 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 23 | 25 | 17 | 15 | 103 | 218 | 256 | 64 | 71 | 26 | 6 | 35 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 0.0% | 0.0% | 91.5% | 91.5 | DULL |
| 7 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 9 | 23 | 25 | 17 | 35 | 103 | 218 | 256 | 64 | 81 | 19 | 6 | 23 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 22.2% | 11.4% | 90.1% | 101.6 | FUN |
| 8 | Eagles | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 23 | 25 | 17 | 15 | 103 | 218 | 256 | 64 | 37 | 12 | 8 | 32 | 5 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 0.0% | 0.0% | 89.2% | 89.2 | Unlucky |
| 9 | Monsters | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 3 | 0 | 4 | 0.667 | 3 | 6 | 9 | 0 | 1 | 9 | 23 | 25 | 17 | 37 | 103 | 218 | 256 | 64 | 50 | 13 | 27 | 44 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 60.0% | 8.1% | 94.0% | 102.1 | DULL |
| 10 | Griffins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 9 | 23 | 25 | 17 | 14 | 103 | 218 | 256 | 64 | 58 | 14 | 14 | 35 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 11.1% | 14.3% | 86.2% | 100.5 | FUN |
| 11 | Checkers 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 3 | 6 | 0 | 0 | 9 | 23 | 25 | 17 | 11 | 103 | 218 | 256 | 64 | 24 | 7 | 7 | 30 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 40.0% | 27.3% | 87.5% | 114.8 | FUN |
| 12 | Reign | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 9 | 23 | 25 | 17 | 20 | 103 | 218 | 256 | 64 | 29 | 12 | 10 | 40 | 3 | 1 | 33.33% | 5 | 3 | 40.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 75.0% | 35.0% | 82.8% | 117.8 | FUN |
| 13 | Wild | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 3 | 0.750 | 2 | 1 | 3 | 0 | 0 | 9 | 23 | 25 | 17 | 11 | 103 | 218 | 256 | 64 | 19 | 7 | 10 | 19 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 50.0% | 18.2% | 89.5% | 107.7 | FUN |
| 14 | Rocket | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 5 | 0.625 | 4 | 7 | 11 | 0 | 2 | 9 | 23 | 25 | 17 | 35 | 103 | 218 | 256 | 64 | 38 | 16 | 10 | 83 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 50.0% | 11.4% | 92.1% | 103.5 | LUCKY |
| 15 | Admirals | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | -1 | 2 | 0.500 | 1 | 0 | 1 | 1 | 1 | 9 | 23 | 25 | 17 | 28 | 103 | 218 | 256 | 64 | 10 | 5 | 9 | 34 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 33.3% | 3.6% | 80.0% | 83.6 | Unlucky |
| 16 | Islanders | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 4 | 7 | 0 | 0 | 9 | 23 | 25 | 17 | 17 | 103 | 218 | 256 | 64 | 25 | 4 | 9 | 31 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 40.0% | 17.6% | 88.0% | 105.6 | FUN |
| 17 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 9 | 23 | 25 | 17 | 27 | 103 | 218 | 256 | 64 | 83 | 28 | 10 | 33 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 37.5% | 14.8% | 90.4% | 105.2 | FUN |
| 18 | Belleville Senators | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 2 | 0.333 | 4 | 5 | 9 | 0 | 0 | 9 | 23 | 25 | 17 | 36 | 103 | 218 | 256 | 64 | 76 | 22 | 26 | 56 | 8 | 2 | 25.00% | 3 | 1 | 66.67% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 20.0% | 11.1% | 88.2% | 99.3 | FUN |
| 19 | Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 23 | 25 | 17 | 8 | 103 | 218 | 256 | 64 | 11 | 3 | 2 | 11 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 0.0% | 0.0% | 81.8% | 81.8 | Unlucky |
| 20 | Roadrunners | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 9 | 23 | 25 | 17 | 29 | 103 | 218 | 256 | 64 | 22 | 6 | 2 | 32 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 20.0% | 6.9% | 77.3% | 84.2 | Unlucky |
| 21 | Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 23 | 25 | 17 | 7 | 103 | 218 | 256 | 64 | 29 | 15 | 9 | 18 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 0.0% | 0.0% | 86.2% | 86.2 | Unlucky |
| 22 | Barracuda | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 4 | 7 | 1 | 0 | 9 | 23 | 25 | 17 | 32 | 103 | 218 | 256 | 64 | 32 | 7 | 6 | 24 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 28.6% | 9.4% | 81.3% | 90.6 | FUN |
| 23 | Thunderbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 9 | 23 | 25 | 17 | 20 | 103 | 218 | 256 | 64 | 34 | 18 | 10 | 4 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 33.3% | 10.0% | 91.2% | 101.2 | LUCKY |
| 24 | Crunch | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 9 | 23 | 25 | 17 | 12 | 103 | 218 | 256 | 64 | 18 | 10 | 0 | 11 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 33.3% | 8.3% | 88.9% | 97.2 | Unlucky |
| 25 | Marlies | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 7 | 16 | -9 | 2 | 0.250 | 7 | 9 | 16 | 1 | 0 | 9 | 23 | 25 | 17 | 56 | 103 | 218 | 256 | 64 | 131 | 41 | 42 | 63 | 7 | 1 | 14.29% | 11 | 4 | 63.64% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 33.3% | 12.5% | 87.8% | 100.3 | FUN |
| 26 | Canucks | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 9 | 23 | 25 | 17 | 29 | 103 | 218 | 256 | 64 | 48 | 13 | 6 | 35 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 42.9% | 13.8% | 89.6% | 103.4 | FUN |
| 27 | Hershey Bears | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 1 | 3 | 0 | 0 | 9 | 23 | 25 | 17 | 8 | 103 | 218 | 256 | 64 | 26 | 11 | 6 | 34 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 66.7% | 25.0% | 88.5% | 113.5 | FUN |
| 28 | Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 9 | 23 | 25 | 17 | 8 | 103 | 218 | 256 | 64 | 13 | 5 | 4 | 23 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 50.0% | 37.5% | 92.3% | 129.8 | LUCKY |
| _Vs Division | 13 | 5 | 9 | 0 | 3 | 2 | 1 | 1 | 12 | 29 | -17 | 21 | 0.808 | 12 | 17 | 29 | 0 | 1 | 9 | 23 | 25 | 17 | 119 | 103 | 218 | 256 | 64 | 295 | 100 | 69 | 206 | 18 | 2 | 11.11% | 22 | 8 | 63.64% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 32.3% | 10.1% | 90.2% | 100.3 | FUN | |
| _Vs Conference | 35 | 6 | 18 | 0 | 3 | 2 | 3 | 3 | 39 | 77 | -38 | 29 | 0.414 | 39 | 53 | 92 | 1 | 4 | 9 | 23 | 25 | 17 | 356 | 103 | 218 | 256 | 64 | 756 | 242 | 183 | 594 | 53 | 10 | 18.87% | 54 | 15 | 72.22% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 31.9% | 11.0% | 89.8% | 100.8 | FUN | |
| _Since Last GM Reset | 58 | 7 | 31 | 0 | 5 | 5 | 6 | 4 | 68 | 130 | -62 | 45 | 0.388 | 68 | 95 | 163 | 4 | 5 | 9 | 23 | 25 | 17 | 605 | 103 | 218 | 256 | 64 | 1162 | 375 | 270 | 943 | 99 | 22 | 22.22% | 90 | 26 | 71.11% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 30.7% | 11.2% | 88.8% | 100.1 | FUN | |
| Total | 58 | 7 | 31 | 0 | 5 | 5 | 6 | 4 | 68 | 130 | -62 | 45 | 0.388 | 68 | 95 | 163 | 4 | 5 | 9 | 23 | 25 | 17 | 605 | 103 | 218 | 256 | 64 | 1162 | 375 | 270 | 943 | 99 | 22 | 22.22% | 90 | 26 | 71.11% | 0 | 334 | 637 | 52.43% | 440 | 848 | 51.89% | 262 | 505 | 51.88% | 944 | 293 | 1109 | 644 | 1486 | 768 | 30.7% | 11.2% | 88.8% | 100.1 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 25 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 637 |
| Neutral Zone Start | 505 |
| Defensive Zone Start | 848 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1036 |
| Faceoffs Lost | 954 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 1.8 | 9.57 |
| 2nd Period | 5.5 | 20.31 |
| 3rd Period | 9.9 | 30.68 |
| Overtime | 11.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.6 | 1.65 |
| 3rd Period | 1.0 | 2.67 |
| Overtime | 1.3 | 2.83 |
| Even Strenght Goal | 42 |
|---|---|
| PP Goal | 22 |
| PK Goal | 0 |
| Empty Net Goal | 4 |
| Home | Away | |
|---|---|---|
| Win | 11 | 7 |
| Lost | 15 | 16 |
| Overtime Lost | 3 | 6 |
| PP Attempt | 99 |
|---|---|
| PP Goal | 22 |
| PK Attempt | 90 |
| PK Goal Against | 26 |
| Home | |
|---|---|
| Shots For | 10.4 |
| Shots Against | 20.0 |
| Goals For | 1.2 |
| Goals Against | 2.2 |
| Hits | 16.3 |
| Shots Blocked | 6.5 |
| Pim | 4.7 |
| 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 | NJD0,CAL2 | RECAP | |||||||||
| Tue, Dec 9 | BUF | @ | NJD | BUF1,NJD2 | RECAP | |||||||||
| Fri, Dec 12 | CLB | @ | NJD | CLB0,NJD1 | RECAP | |||||||||
| Sun, Dec 14 | NJD | @ | NYI | NJD1,NYI2 (SO) | RECAP | |||||||||
| Mon, Dec 15 | NJD | @ | PIT | NJD0,PIT4 | RECAP | |||||||||
| Wed, Dec 17 | LOS | @ | NJD | LOS2,NJD3 (OT) | RECAP | |||||||||
| Sat, Dec 20 | NJD | @ | NAS | NJD0,NAS2 | RECAP | |||||||||
| Sun, Dec 21 | COL | @ | NJD | COL3,NJD0 | RECAP | |||||||||
| Tue, Dec 23 | NJD | @ | FLO | NJD1,FLO2 (SO) | RECAP | |||||||||
| Thu, Dec 25 | TOR | @ | NJD | TOR3,NJD1 | RECAP | |||||||||
| Mon, Dec 29 | NJD | @ | PHI | NJD0,PHI2 | RECAP | |||||||||
| Wed, Dec 31 | BOS | @ | NJD | BOS3,NJD1 | RECAP | |||||||||
| Sat, Jan 3 | CHI | @ | NJD | CHI4,NJD2 | RECAP | |||||||||
| Mon, Jan 5 | NJD | @ | PHO | NJD0,PHO1 | RECAP | |||||||||
| Wed, Jan 7 | NJD | @ | CHI | NJD2,CHI4 | RECAP | |||||||||
| Fri, Jan 9 | NYI | @ | NJD | NYI1,NJD2 (SO) | RECAP | |||||||||
| Sun, Jan 11 | S J | @ | NJD | S J2,NJD0 | RECAP | |||||||||
| Tue, Jan 13 | NJD | @ | WPG | NJD1,WPG2 (OT) | RECAP | |||||||||
| Thu, Jan 15 | STL | @ | NJD | STL3,NJD2 | RECAP | |||||||||
| Fri, Jan 16 | NJD | @ | COL | NJD0,COL1 | RECAP | |||||||||
| Sun, Jan 18 | NJD | @ | VAN | NJD3,VAN2 (OT) | RECAP | |||||||||
| Tue, Jan 20 | DET | @ | NJD | DET4,NJD1 | RECAP | |||||||||
| Thu, Jan 22 | NJD | @ | LOS | NJD4,LOS3 (SO) | RECAP | |||||||||
| Fri, Jan 23 | NJD | @ | WAS | NJD2,WAS1 (SO) | RECAP | |||||||||
| Sun, Jan 25 | WAS | @ | NJD | WAS2,NJD0 | RECAP | |||||||||
| Tue, Jan 27 | MTL | @ | NJD | MTL0,NJD1 | RECAP | |||||||||
| Thu, Jan 29 | NJD | @ | S J | NJD3,S J4 (SO) | RECAP | |||||||||
| Sat, Jan 31 | PHO | @ | NJD | PHO4,NJD2 | RECAP | |||||||||
| 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 |
| 3,892,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Utica | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 12 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,892,500$ | 3,892,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,772,516$ | 0$ | 2,423,367$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 74 | 25,991$ | 1,325,541$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,325,541$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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