![]() | Utica Comets 28-41-13, 69pts · 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 | |||
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$/2yrs | |||
Roman Schmidt (R) | 0 | D | 100.00 | 64 | 47 | 58 | 62 | 67 | 61 | 60 | 58 | 40 | 54 | 55 | 64 | 58 | 50 | 50 | 1 | 50 | 59 | 22 | 805,833$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Judd Caulfield | 0 | RW | 95.05 | 64 | 43 | 68 | 62 | 68 | 65 | 63 | 62 | 43 | 59 | 56 | 60 | 60 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/2yrs | |||
Riley Fiddler-Schultz | 0 | C | 100.00 | 62 | 41 | 68 | 64 | 65 | 62 | 60 | 59 | 55 | 56 | 56 | 57 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 1,000,000$/2yrs | |||
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 | |||
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 | |||
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 |
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 | 82 | 24 | 38 | 62 | -30 | 13 | 5 | 116 | 162 | 52 | 92 | 14.81% | 39 | 24.18 | 8 | 15 | 23 | 0 | 0 | 0 | 104 | 3 | 2 | 56.62% | 0 | 0 | 0.76 | 5 | 11 | 0.58 | |||
| 2 | Samuel Fagemo | Comets (NJD) | LW/RW | 82 | 12 | 20 | 32 | -11 | 38 | 10 | 112 | 101 | 35 | 72 | 11.88% | 30 | 22.22 | 5 | 9 | 14 | 0 | 0 | 0 | 96 | 3 | 1 | 40.30% | 0 | 0 | 0.39 | 4 | 11 | 0.28 | |||
| 3 | Brett Berard | Comets (NJD) | LW | 82 | 12 | 18 | 30 | -50 | 11 | 5 | 105 | 135 | 37 | 68 | 8.89% | 29 | 21.91 | 6 | 8 | 14 | 0 | 1 | 1 | 36 | 2 | 3 | 48.75% | 0 | 0 | 0.37 | 2 | 10 | 0.18 | |||
| 4 | Tyler Tucker | Comets (NJD) | D | 82 | 6 | 14 | 20 | -37 | 79 | 25 | 116 | 72 | 25 | 26 | 8.33% | 73 | 23.20 | 3 | 1 | 4 | 0 | 1 | 1 | 83 | 0 | 1 | 0.00% | 1 | 0 | 0.24 | 0 | 1 | -0.05 | |||
| 5 | Fabian Lysell | Comets (NJD) | RW | 80 | 9 | 7 | 16 | -17 | 23 | 5 | 76 | 62 | 18 | 49 | 14.52% | 17 | 14.57 | 5 | 4 | 9 | 0 | 0 | 0 | 20 | 1 | 2 | 48.89% | 1 | 0 | 0.20 | 1 | 1 | 0.10 | |||
| 6 | Ryan Winterton | Comets (NJD) | C/RW | 82 | 3 | 9 | 12 | -42 | 4 | 0 | 107 | 51 | 20 | 35 | 5.88% | 26 | 19.53 | 1 | 3 | 4 | 0 | 0 | 0 | 34 | 3 | 0 | 40.60% | 0 | 0 | 0.15 | 2 | 4 | -0.03 | |||
| 7 | David Spacek | Comets (NJD) | D | 82 | 2 | 9 | 11 | -29 | 8 | 0 | 79 | 40 | 8 | 18 | 5.00% | 65 | 24.14 | 1 | 3 | 4 | 0 | 0 | 0 | 125 | 1 | 0 | 77.78% | 0 | 0 | 0.13 | 0 | 0 | 0.02 | |||
| 8 | Ryan Johnson | Comets (NJD) | D | 65 | 5 | 5 | 10 | -21 | 36 | 10 | 46 | 40 | 11 | 16 | 12.50% | 59 | 22.12 | 3 | 2 | 5 | 0 | 0 | 0 | 79 | 0 | 1 | 100.00% | 0 | 0 | 0.15 | 0 | 0 | -0.02 | |||
| 9 | Samuel Helenius | Comets (NJD) | C | 82 | 7 | 2 | 9 | -29 | 36 | 20 | 102 | 47 | 19 | 38 | 14.89% | 23 | 20.17 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 1 | 55.56% | 0 | 0 | 0.11 | 0 | 1 | -0.04 | |||
| 10 | Justin Hryckowian | Comets (NJD) | C | 46 | 2 | 6 | 8 | -11 | 2 | 0 | 48 | 24 | 7 | 12 | 8.33% | 15 | 17.60 | 0 | 4 | 4 | 1 | 0 | 1 | 36 | 2 | 0 | 46.08% | 0 | 0 | 0.17 | 0 | 0 | 0.08 | |||
| 11 | Adam Beckman | Comets (NJD) | LW/RW | 65 | 3 | 4 | 7 | -19 | 8 | 0 | 79 | 32 | 8 | 25 | 9.38% | 11 | 17.48 | 0 | 1 | 1 | 0 | 0 | 0 | 55 | 2 | 0 | 43.48% | 0 | 0 | 0.11 | 0 | 0 | 0.01 | |||
| 12 | Kirill Kudryavtsev | Comets (NJD) | D | 82 | 2 | 5 | 7 | -33 | 28 | 10 | 60 | 36 | 12 | 13 | 5.56% | 57 | 20.36 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 1 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | -0.08 | |||
| 13 | Judd Caulfield | Comets (NJD) | RW | 81 | 2 | 3 | 5 | -18 | 10 | 0 | 80 | 14 | 4 | 10 | 14.29% | 11 | 13.63 | 1 | 2 | 3 | 0 | 0 | 0 | 4 | 0 | 1 | 37.50% | 0 | 0 | 0.06 | 0 | 0 | -0.03 | |||
| 14 | Vsevolod Komarov | Comets (NJD) | D | 82 | 2 | 3 | 5 | -5 | 26 | 0 | 61 | 10 | 4 | 10 | 20.00% | 33 | 18.07 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | -0.01 | |||
| 15 | Wilmer Skoog | Comets (NJD) | C | 24 | 1 | 2 | 3 | 1 | 2 | 0 | 18 | 7 | 0 | 5 | 14.29% | 1 | 8.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 44.68% | 0 | 0 | 0.13 | 0 | 0 | 0.11 | |||
| 16 | Justin Sourdif | Comets (NJD) | RW | 72 | 1 | 2 | 3 | 0 | 2 | 0 | 22 | 10 | 3 | 6 | 10.00% | 3 | 4.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.28% | 1 | 0 | 0.04 | 0 | 0 | 0.04 | |||
| 17 | Rory Kerins | Comets (NJD) | C | 82 | 1 | 1 | 2 | -9 | 6 | 0 | 28 | 15 | 5 | 7 | 6.67% | 7 | 6.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.00% | 0 | 0 | 0.02 | 0 | 0 | -0.02 | |||
| 18 | Elias Salomonsson | Comets (NJD) | D | 82 | 0 | 1 | 1 | -25 | 24 | 0 | 31 | 11 | 3 | 4 | 0.00% | 33 | 16.44 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0 | 0 | 0.00% | 0 | 0 | 0.01 | 0 | 0 | -0.14 | |||
| 19 | 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 | |||
| 20 | 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 | |||
| 21 | 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 | |||
| 22 | Roman Schmidt | Comets (NJD) | D | 76 | 0 | 0 | 0 | -3 | 0 | 0 | 8 | 1 | 0 | 0 | 0.00% | 2 | 2.78 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
| Team Total or Average | 1481 | 94 | 149 | 243 | -393 | 360 | 90 | 1320 | 872 | 272 | 507 | 10.78% | 537 | 16.65 | 34 | 52 | 86 | 1052 | 1 | 2 | 3 | 792 | 21 | 13 | 51.11% | 2849 | 275 | 436 | 3 | 0 | 0.20 | 14 | 39 |
| 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) | 66 | 20 | 35 | 11 | 0.896 | 2.14 | 3980 | 0 | 6 | 142 | 1371 | 732 | 1 | 5 | 0.688 | 32 | 66 | 13 | 2 | 1 | 6 |
| 2 | Colten Ellis | Comets (NJD) | 17 | 8 | 6 | 2 | 0.904 | 1.40 | 985 | 0 | 5 | 23 | 240 | 125 | 1 | 1 | 0.750 | 8 | 16 | 62 | 2 | 2 | 0 |
| 3 | Ryan Fanti | Comets (NJD) | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 14 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.000 | 0 | 0 | 4 | 0 | 0 | 0 |
| Team Total or Average | 84 | 28 | 41 | 13 | 0.898 | 1.99 | 4980 | 0 | 11 | 165 | 1612 | 858 | 2 | 6 | 0.700 | 40 | 82 | 79 | 4 | 3 | 6 |
| 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$ | ||||||
| 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 | ||||||
| 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$ | UFA | |||||
| 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 | 13 | 34 | 42 | 19 | 19 | 159 | 299 | 379 | 72 | 22 | 12 | 6 | 35 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 0.0% | 10.5% | 81.8% | 92.3 | FUN |
| 2 | Moose | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 2 | 1 | 5 | 0.833 | 3 | 3 | 6 | 0 | 2 | 13 | 34 | 42 | 19 | 23 | 159 | 299 | 379 | 72 | 38 | 11 | 0 | 48 | 1 | 1 | 100.00% | 0 | 0 | 0.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 50.0% | 13.0% | 94.7% | 107.8 | LUCKY |
| 3 | Bruins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 13 | 34 | 42 | 19 | 21 | 159 | 299 | 379 | 72 | 81 | 24 | 11 | 40 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 0.0% | 4.8% | 91.4% | 96.1 | DULL |
| 4 | Americans | 5 | 2 | 1 | 0 | 0 | 1 | 1 | 0 | 6 | 5 | 1 | 7 | 0.700 | 6 | 8 | 14 | 0 | 1 | 13 | 34 | 42 | 19 | 46 | 159 | 299 | 379 | 72 | 57 | 13 | 18 | 82 | 4 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 60.0% | 13.0% | 91.2% | 104.3 | LUCKY |
| 5 | Heat | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 3 | 0.500 | 2 | 3 | 5 | 0 | 1 | 13 | 34 | 42 | 19 | 19 | 159 | 299 | 379 | 72 | 31 | 11 | 4 | 44 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 40.0% | 10.5% | 90.3% | 100.8 | FUN |
| 6 | Wolves | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | -11 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 13 | 34 | 42 | 19 | 30 | 159 | 299 | 379 | 72 | 108 | 46 | 10 | 50 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 0.0% | 0.0% | 89.8% | 89.8 | Unlucky |
| 7 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 13 | 34 | 42 | 19 | 35 | 159 | 299 | 379 | 72 | 81 | 19 | 6 | 23 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 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 | 13 | 34 | 42 | 19 | 15 | 159 | 299 | 379 | 72 | 37 | 12 | 8 | 32 | 5 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 0.0% | 0.0% | 89.2% | 89.2 | Unlucky |
| 9 | Monsters | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 4 | 5 | -1 | 5 | 0.625 | 4 | 7 | 11 | 0 | 1 | 13 | 34 | 42 | 19 | 49 | 159 | 299 | 379 | 72 | 66 | 15 | 31 | 60 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 50.0% | 8.2% | 92.4% | 100.6 | DULL |
| 10 | Stars | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 3 | 0.750 | 2 | 3 | 5 | 0 | 1 | 13 | 34 | 42 | 19 | 17 | 159 | 299 | 379 | 72 | 20 | 5 | 4 | 22 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 50.0% | 11.8% | 95.0% | 106.8 | LUCKY |
| 11 | Griffins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 13 | 34 | 42 | 19 | 33 | 159 | 299 | 379 | 72 | 91 | 28 | 14 | 54 | 9 | 4 | 44.44% | 2 | 0 | 100.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 15.4% | 18.2% | 87.9% | 106.1 | FUN |
| 12 | Condors | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 13 | 34 | 42 | 19 | 30 | 159 | 299 | 379 | 72 | 49 | 26 | 10 | 32 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 37.5% | 10.0% | 87.8% | 97.8 | FUN |
| 13 | Checkers 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 3 | 6 | 0 | 0 | 13 | 34 | 42 | 19 | 11 | 159 | 299 | 379 | 72 | 24 | 7 | 7 | 30 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 40.0% | 27.3% | 87.5% | 114.8 | FUN |
| 14 | Reign | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 13 | 34 | 42 | 19 | 20 | 159 | 299 | 379 | 72 | 29 | 12 | 10 | 40 | 3 | 1 | 33.33% | 5 | 3 | 40.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 75.0% | 35.0% | 82.8% | 117.8 | FUN |
| 15 | Wild | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 3 | 0.750 | 2 | 1 | 3 | 0 | 0 | 13 | 34 | 42 | 19 | 11 | 159 | 299 | 379 | 72 | 19 | 7 | 10 | 19 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 50.0% | 18.2% | 89.5% | 107.7 | FUN |
| 16 | Rocket | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 5 | 0.500 | 5 | 8 | 13 | 0 | 2 | 13 | 34 | 42 | 19 | 39 | 159 | 299 | 379 | 72 | 48 | 19 | 16 | 99 | 6 | 2 | 33.33% | 8 | 3 | 62.50% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 60.0% | 12.8% | 89.6% | 102.4 | FUN |
| 17 | Admirals | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | -1 | 2 | 0.500 | 1 | 0 | 1 | 1 | 1 | 13 | 34 | 42 | 19 | 28 | 159 | 299 | 379 | 72 | 10 | 5 | 9 | 34 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 33.3% | 3.6% | 80.0% | 83.6 | Unlucky |
| 18 | Islanders | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 4 | 7 | 0 | 0 | 13 | 34 | 42 | 19 | 17 | 159 | 299 | 379 | 72 | 25 | 4 | 9 | 31 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 40.0% | 17.6% | 88.0% | 105.6 | FUN |
| 19 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 13 | 34 | 42 | 19 | 27 | 159 | 299 | 379 | 72 | 83 | 28 | 10 | 33 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 37.5% | 14.8% | 90.4% | 105.2 | FUN |
| 20 | Belleville Senators | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 11 | -4 | 4 | 0.500 | 7 | 8 | 15 | 0 | 0 | 13 | 34 | 42 | 19 | 43 | 159 | 299 | 379 | 72 | 96 | 31 | 34 | 71 | 11 | 4 | 36.36% | 7 | 1 | 85.71% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 23.1% | 16.3% | 88.5% | 104.8 | FUN |
| 21 | Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 13 | 34 | 42 | 19 | 15 | 159 | 299 | 379 | 72 | 32 | 9 | 4 | 31 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 0.0% | 6.7% | 87.5% | 94.2 | Unlucky |
| 22 | Roadrunners | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 13 | 34 | 42 | 19 | 29 | 159 | 299 | 379 | 72 | 22 | 6 | 2 | 32 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 20.0% | 6.9% | 77.3% | 84.2 | Unlucky |
| 23 | Penguins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 13 | 34 | 42 | 19 | 22 | 159 | 299 | 379 | 72 | 53 | 20 | 11 | 29 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 33.3% | 13.6% | 90.6% | 104.2 | FUN |
| 24 | Barracuda | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 4 | 7 | 1 | 0 | 13 | 34 | 42 | 19 | 32 | 159 | 299 | 379 | 72 | 32 | 7 | 6 | 24 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 28.6% | 9.4% | 81.3% | 90.6 | FUN |
| 25 | Thunderbirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 13 | 34 | 42 | 19 | 43 | 159 | 299 | 379 | 72 | 70 | 28 | 14 | 24 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 14.3% | 7.0% | 90.0% | 97.0 | Unlucky |
| 26 | Crunch | 4 | 1 | 1 | 0 | 0 | 2 | 0 | 0 | 5 | 6 | -1 | 4 | 0.500 | 5 | 9 | 14 | 0 | 1 | 13 | 34 | 42 | 19 | 40 | 159 | 299 | 379 | 72 | 51 | 21 | 7 | 65 | 7 | 2 | 28.57% | 1 | 0 | 100.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 33.3% | 12.5% | 88.2% | 100.7 | FUN |
| 27 | Marlies | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 7 | 16 | -9 | 2 | 0.250 | 7 | 9 | 16 | 1 | 0 | 13 | 34 | 42 | 19 | 56 | 159 | 299 | 379 | 72 | 131 | 41 | 42 | 63 | 7 | 1 | 14.29% | 11 | 4 | 63.64% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 33.3% | 12.5% | 87.8% | 100.3 | FUN |
| 28 | Canucks | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 4 | 10 | -6 | 2 | 0.250 | 4 | 7 | 11 | 1 | 0 | 13 | 34 | 42 | 19 | 53 | 159 | 299 | 379 | 72 | 108 | 30 | 27 | 69 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 25.0% | 7.5% | 90.7% | 98.3 | Unlucky |
| 29 | Hershey Bears | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 1 | 3 | 0 | 0 | 13 | 34 | 42 | 19 | 8 | 159 | 299 | 379 | 72 | 26 | 11 | 6 | 34 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 66.7% | 25.0% | 88.5% | 113.5 | FUN |
| 30 | Silver Knights | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 2 | 1 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 13 | 34 | 42 | 19 | 11 | 159 | 299 | 379 | 72 | 21 | 6 | 10 | 32 | 4 | 2 | 50.00% | 5 | 0 | 100.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 33.3% | 27.3% | 90.5% | 117.7 | FUN |
| 31 | Checkers 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 13 | 34 | 42 | 19 | 28 | 159 | 299 | 379 | 72 | 57 | 23 | 4 | 35 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 42.9% | 10.7% | 91.2% | 101.9 | LUCKY |
| _Vs Division | 17 | 7 | 13 | 0 | 3 | 4 | 2 | 1 | 17 | 39 | -22 | 29 | 0.853 | 17 | 24 | 41 | 0 | 1 | 13 | 34 | 42 | 19 | 168 | 159 | 299 | 379 | 72 | 393 | 133 | 81 | 268 | 23 | 4 | 17.39% | 28 | 8 | 71.43% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 29.5% | 10.1% | 90.1% | 100.2 | FUN | |
| _Vs Conference | 47 | 9 | 24 | 0 | 3 | 4 | 4 | 3 | 55 | 102 | -47 | 39 | 0.415 | 55 | 77 | 132 | 2 | 5 | 13 | 34 | 42 | 19 | 477 | 159 | 299 | 379 | 72 | 989 | 319 | 243 | 787 | 70 | 16 | 22.86% | 74 | 18 | 75.68% | 0 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 31.7% | 11.5% | 89.7% | 101.2 | FUN | |
| _Since Last GM Reset | 82 | 16 | 41 | 0 | 5 | 9 | 7 | 4 | 101 | 175 | -74 | 69 | 0.421 | 101 | 149 | 250 | 6 | 10 | 13 | 34 | 42 | 19 | 870 | 159 | 299 | 379 | 72 | 1618 | 537 | 360 | 1317 | 135 | 34 | 25.19% | 125 | 31 | 75.20% | 1 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 31.8% | 11.6% | 89.2% | 100.8 | FUN | |
| Total | 82 | 16 | 41 | 0 | 5 | 9 | 7 | 4 | 101 | 175 | -74 | 69 | 0.421 | 101 | 149 | 250 | 6 | 10 | 13 | 34 | 42 | 19 | 870 | 159 | 299 | 379 | 72 | 1618 | 537 | 360 | 1317 | 135 | 34 | 25.19% | 125 | 31 | 75.20% | 1 | 464 | 891 | 52.08% | 610 | 1157 | 52.72% | 379 | 710 | 53.38% | 1321 | 406 | 1557 | 909 | 2109 | 1087 | 31.8% | 11.6% | 89.2% | 100.8 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 25 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 891 |
| Neutral Zone Start | 710 |
| Defensive Zone Start | 1157 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1453 |
| Faceoffs Lost | 1305 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 1.9 | 9.57 |
| 2nd Period | 5.6 | 20.31 |
| 3rd Period | 10.2 | 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 | 1.1 | 2.67 |
| Overtime | 1.3 | 2.83 |
| Even Strenght Goal | 60 |
|---|---|
| PP Goal | 34 |
| PK Goal | 1 |
| Empty Net Goal | 6 |
| Home | Away | |
|---|---|---|
| Win | 15 | 13 |
| Lost | 21 | 20 |
| Overtime Lost | 5 | 8 |
| PP Attempt | 135 |
|---|---|
| PP Goal | 34 |
| PK Attempt | 125 |
| PK Goal Against | 31 |
| Home | |
|---|---|
| Shots For | 10.6 |
| Shots Against | 19.7 |
| Goals For | 1.2 |
| Goals Against | 2.1 |
| Hits | 16.1 |
| Shots Blocked | 6.5 |
| Pim | 4.4 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,697,500$ | 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 |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,697,500$ | 3,697,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 4,076,131$ | 0$ | 3,576,124$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 24,837$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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