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Full Scoreboard »» |
| Lehigh Valley Phantoms 17-7-4, 38pts · 2nd in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Agozzino | 0 | C/LW | 98.00 | 70 | 39 | 74 | 56 | 69 | 72 | 73 | 71 | 81 | 61 | 61 | 75 | 61 | 82 | 80 | 0 | 54 | 75 | 34 | 775,000$/1yrs | |||
T.J. Tynan | 36 | C/RW | 100.00 | 78 | 40 | 61 | 57 | 62 | 72 | 68 | 70 | 44 | 68 | 54 | 74 | 61 | 81 | 77 | 0 | 54 | 74 | 33 | 800,000$/1yrs | |||
Jesper Boqvist | 0 | C/LW/RW | 100.00 | 84 | 32 | 93 | 60 | 71 | 77 | 89 | 60 | 61 | 60 | 65 | 66 | 62 | 69 | 68 | 0 | 54 | 73 | 27 | 1,250,000$/1yrs | |||
Jeff Malott | 0 | LW | 98.00 | 77 | 42 | 62 | 58 | 83 | 70 | 73 | 66 | 46 | 60 | 60 | 70 | 60 | 74 | 70 | 0 | 51 | 73 | 29 | 800,000$/2yrs | |||
Nikita Nesterenko (R) | 0 | C/LW | 100.00 | 82 | 32 | 96 | 66 | 74 | 73 | 69 | 60 | 55 | 57 | 69 | 57 | 65 | 64 | 64 | 0 | 54 | 73 | 24 | 800,000$/2yrs | |||
Lane Pederson | 0 | C/RW | 98.00 | 69 | 40 | 75 | 58 | 74 | 69 | 70 | 65 | 64 | 60 | 60 | 69 | 60 | 72 | 69 | 0 | 54 | 72 | 28 | 800,000$/2yrs | |||
Milan Lucic | 0 | LW | 100.00 | 81 | 44 | 81 | 55 | 94 | 74 | 78 | 58 | 60 | 62 | 60 | 56 | 59 | 86 | 84 | 0 | 52 | 72 | 37 | 800,000$/2yrs | |||
Marc Gatcomb | 0 | C/RW | 100.00 | 96 | 39 | 90 | 58 | 78 | 71 | 77 | 58 | 59 | 53 | 68 | 63 | 63 | 68 | 67 | 0 | 50 | 72 | 26 | 800,000$/2yrs | |||
Nicholas Abruzzese | 0 | C/LW | 100.00 | 60 | 38 | 90 | 66 | 71 | 65 | 60 | 66 | 67 | 61 | 56 | 60 | 67 | 63 | 62 | 0 | 54 | 71 | 26 | 850,000$/1yrs | |||
Jacob Quillan | 0 | C/LW | 100.00 | 61 | 39 | 85 | 66 | 73 | 72 | 91 | 64 | 70 | 59 | 56 | 64 | 66 | 61 | 60 | 0 | 54 | 71 | 23 | 875,000$/1yrs | |||
Liam McLinskey | 0 | LW/RW | 100.00 | 63 | 38 | 84 | 61 | 69 | 69 | 91 | 59 | 41 | 61 | 62 | 65 | 62 | 65 | 63 | 0 | 54 | 71 | 24 | 800,000$/2yrs | |||
Noah Ostlund (R) | 0 | C/LW | 100.00 | 62 | 38 | 88 | 61 | 67 | 67 | 68 | 59 | 36 | 59 | 62 | 62 | 60 | 59 | 58 | 0 | 45 | 70 | 21 | 918,333$/1yrs | |||
Atro Leppanen | 0 | D | 98.00 | 69 | 39 | 83 | 63 | 72 | 74 | 90 | 62 | 30 | 69 | 65 | 69 | 67 | 69 | 67 | 0 | 54 | 77 | 26 | 975,000$/1yrs | |||
Derrick Pouliot | 51 | D | 99.00 | 69 | 40 | 76 | 58 | 80 | 70 | 68 | 55 | 30 | 64 | 54 | 73 | 59 | 77 | 75 | 0 | 55 | 74 | 31 | 850,000$/1yrs | |||
Trevor Carrick | 47 | D | 98.00 | 72 | 40 | 72 | 56 | 79 | 70 | 69 | 54 | 30 | 62 | 55 | 73 | 58 | 77 | 74 | 0 | 54 | 73 | 31 | 775,000$/1yrs | |||
Matthew Benning | 0 | D | 99.00 | 72 | 33 | 71 | 55 | 80 | 84 | 68 | 58 | 30 | 58 | 50 | 79 | 54 | 77 | 74 | 0 | 54 | 73 | 31 | 1,250,000$/1yrs | |||
Vladislav Kolyachonok | 18 | D | 100.00 | 64 | 33 | 89 | 58 | 76 | 77 | 71 | 52 | 30 | 63 | 59 | 57 | 56 | 64 | 63 | 0 | 45 | 71 | 24 | 900,000$/2yrs | |||
Logan Mailloux (R) | 0 | D | 100.00 | 79 | 42 | 59 | 53 | 85 | 66 | 70 | 52 | 30 | 59 | 56 | 64 | 57 | 61 | 57 | 0 | 47 | 69 | 22 | 875,000$/1yrs | |||
Matthew Robertson (R) | 0 | D | 100.00 | 71 | 41 | 72 | 52 | 82 | 64 | 66 | 50 | 30 | 57 | 51 | 66 | 54 | 64 | 62 | 0 | 23 | 68 | 24 | 800,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Curtis Douglas (R) | 0 | C/LW | 100.00 | 99 | 47 | 50 | 51 | 99 | 61 | 86 | 62 | 65 | 51 | 50 | 65 | 51 | 62 | 57 | 0 | 25 | 67 | 25 | 800,000$/2yrs | |||
Matvei Petrov (R) | 0 | LW | 100.00 | 64 | 39 | 85 | 55 | 80 | 63 | 68 | 60 | 48 | 53 | 55 | 64 | 54 | 61 | 59 | 0 | 20 | 67 | 22 | 803,333$/1yrs | |||
Tucker Robertson (R) | 0 | C | 100.00 | 63 | 38 | 87 | 54 | 73 | 62 | 67 | 60 | 36 | 53 | 54 | 64 | 53 | 61 | 59 | 0 | 20 | 67 | 22 | 870,000$/1yrs | |||
Maxim Cajkovic | 0 | LW/RW | 100.00 | 62 | 39 | 88 | 52 | 78 | 61 | 67 | 61 | 39 | 51 | 51 | 64 | 51 | 61 | 59 | 0 | 20 | 65 | 24 | ||||
Josh Davies (R) | 0 | C/LW | 100.00 | 85 | 42 | 50 | 52 | 73 | 60 | 65 | 60 | 39 | 50 | 50 | 63 | 50 | 59 | 54 | 0 | 20 | 65 | 21 | 828,000$/2yrs | |||
Zach Dean (R) | 0 | C | 100.00 | 66 | 37 | 82 | 53 | 70 | 62 | 72 | 58 | 57 | 48 | 52 | 62 | 50 | 58 | 56 | 0 | 20 | 64 | 22 | 852,000$/1yrs | |||
Hunter Drew | 65 | D | 100.00 | 99 | 46 | 50 | 55 | 84 | 67 | 69 | 65 | 39 | 55 | 58 | 68 | 57 | 70 | 65 | 0 | 51 | 72 | 27 | 800,000$/2yrs | |||
Kaden Hammell (R) | 0 | D | 100.00 | 62 | 39 | 85 | 55 | 74 | 64 | 87 | 53 | 30 | 56 | 54 | 65 | 55 | 57 | 56 | 0 | 19 | 68 | 20 | 865,833$/3yrs | |||
Robin Salo | 0 | D | 100.00 | 64 | 38 | 84 | 50 | 74 | 63 | 82 | 48 | 30 | 56 | 49 | 66 | 52 | 66 | 65 | 0 | 20 | 67 | 27 | 850,000$/1yrs | |||
Artyom Duda (R) | 0 | D | 100.00 | 59 | 38 | 92 | 52 | 74 | 63 | 66 | 50 | 30 | 57 | 53 | 63 | 55 | 59 | 58 | 0 | 28 | 67 | 21 | 775,000$/1yrs | |||
Mason Millman | 0 | D | 100.00 | 63 | 38 | 86 | 49 | 70 | 63 | 66 | 48 | 30 | 54 | 52 | 66 | 53 | 64 | 63 | 0 | 19 | 66 | 24 | 800,000$/1yrs | |||
Joni Jurmo (R) | 0 | D | 100.00 | 60 | 39 | 91 | 45 | 85 | 61 | 65 | 45 | 30 | 50 | 50 | 65 | 50 | 62 | 62 | 0 | 20 | 63 | 23 | 850,000$/1yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexandar Georgiev | 0 | 98.00 | 83 | 95 | 83 | 73 | 83 | 78 | 85 | 89 | 86 | 88 | 85 | 74 | 79 | 0 | 51 | 87 | 29 | 1,250,000$/2yrs |
Brandon Halverson | 0 | 100.00 | 72 | 70 | 71 | 95 | 58 | 77 | 76 | 72 | 77 | 74 | 75 | 74 | 74 | 0 | 61 | 78 | 29 | 850,000$/2yrs |
| Scratches | ||||||||||||||||||||
Garin Bjorklund | 0 | 100.00 | 71 | 65 | 68 | 71 | 73 | 73 | 71 | 71 | 71 | 73 | 72 | 71 | 64 | 0 | 26 | 75 | 23 | 775,000$/1yrs |
Amir Miftakhov | 0 | 100.00 | 66 | 71 | 72 | 70 | 65 | 64 | 66 | 65 | 64 | 66 | 65 | 62 | 67 | 0 | 26 | 71 | 25 | 775,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Darryl Sutter | 75 | 82 | 86 | 78 | 99 | 90 | 87 | CAN | 65 | 3 | 1,000,000$ |
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Andrew Agozzino | C/LW | 28 | 12 | 17 | 29 | 13 | 2 | 0 | 21 | 120 | 35 | 81 | 10.00% | 6 | 20.69 | 2 | 6 | 8 | 99 | 1 | 2 | 3 | 73 | 0 | 1 | 64.31% | 779 | 0 | 0 | 1 | 1 | 1.00 | 1 | 3 | ||
| 2 | Matthew Benning | D | 28 | 5 | 22 | 27 | 13 | 30 | 0 | 43 | 40 | 21 | 29 | 12.50% | 33 | 22.45 | 2 | 7 | 9 | 92 | 0 | 3 | 3 | 88 | 2 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.86 | 0 | 0 | ||
| 3 | T.J. Tynan | C/RW | 28 | 10 | 16 | 26 | 12 | 18 | 0 | 68 | 114 | 27 | 76 | 8.77% | 5 | 19.99 | 4 | 3 | 7 | 99 | 1 | 0 | 1 | 54 | 3 | 2 | 45.71% | 35 | 0 | 0 | 0 | 0 | 0.93 | 2 | 3 | ||
| 4 | Lane Pederson | C/RW | 28 | 7 | 14 | 21 | 11 | 8 | 0 | 28 | 85 | 28 | 43 | 8.24% | 8 | 20.60 | 1 | 3 | 4 | 89 | 0 | 1 | 1 | 109 | 0 | 0 | 53.72% | 860 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
| 5 | Atro Leppanen | D | 28 | 6 | 13 | 19 | 7 | 26 | 0 | 37 | 50 | 19 | 40 | 12.00% | 30 | 22.30 | 3 | 2 | 5 | 97 | 0 | 0 | 0 | 73 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 6 | Jesper Boqvist | C/LW/RW | 28 | 5 | 12 | 17 | 8 | 12 | 0 | 31 | 92 | 19 | 59 | 5.43% | 1 | 17.95 | 2 | 3 | 5 | 90 | 1 | 0 | 1 | 30 | 1 | 0 | 54.79% | 73 | 0 | 0 | 0 | 0 | 0.68 | 0 | 2 | ||
| 7 | Jeff Malott | LW | 28 | 11 | 5 | 16 | 11 | 25 | 5 | 67 | 91 | 30 | 61 | 12.09% | 7 | 20.54 | 2 | 2 | 4 | 89 | 0 | 0 | 0 | 103 | 1 | 0 | 62.26% | 53 | 0 | 0 | 1 | 0 | 0.56 | 0 | 0 | ||
| 8 | Trevor Carrick | D | 28 | 6 | 8 | 14 | 12 | 16 | 0 | 43 | 41 | 17 | 25 | 14.63% | 40 | 22.50 | 0 | 5 | 5 | 89 | 1 | 0 | 1 | 89 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
| 9 | Hunter Drew | D | 27 | 2 | 12 | 14 | 4 | 29 | 5 | 102 | 27 | 11 | 15 | 7.41% | 26 | 16.11 | 1 | 0 | 1 | 5 | 0 | 0 | 0 | 35 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
| 10 | Nikita Nesterenko | C/LW | 28 | 8 | 6 | 14 | 8 | 2 | 0 | 29 | 57 | 16 | 30 | 14.04% | 2 | 17.22 | 4 | 2 | 6 | 99 | 0 | 0 | 0 | 0 | 1 | 0 | 47.50% | 40 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 11 | Jacob Quillan | C/LW | 28 | 8 | 5 | 13 | 5 | 2 | 0 | 3 | 45 | 12 | 32 | 17.78% | 0 | 9.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 54.05% | 333 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | ||
| 12 | Derrick Pouliot | D | 28 | 3 | 9 | 12 | 9 | 17 | 5 | 48 | 40 | 15 | 24 | 7.50% | 39 | 22.58 | 2 | 5 | 7 | 96 | 0 | 0 | 0 | 89 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
| 13 | Nicholas Abruzzese | C/LW | 28 | 3 | 9 | 12 | 9 | 4 | 0 | 2 | 44 | 7 | 17 | 6.82% | 1 | 8.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.75% | 113 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | ||
| 14 | Milan Lucic | LW | 27 | 3 | 4 | 7 | 4 | 12 | 0 | 18 | 11 | 6 | 14 | 27.27% | 2 | 6.60 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 0 | 0 | 44.44% | 18 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | ||
| 15 | Liam McLinskey | LW/RW | 28 | 3 | 4 | 7 | 0 | 4 | 0 | 6 | 44 | 10 | 41 | 6.82% | 1 | 9.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 58.33% | 24 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 16 | Marc Gatcomb | C/RW | 28 | 3 | 3 | 6 | -8 | 35 | 5 | 56 | 50 | 13 | 30 | 6.00% | 1 | 9.41 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 69.23% | 13 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
| 17 | Curtis Douglas | C/LW | 9 | 2 | 3 | 5 | 2 | 12 | 0 | 17 | 14 | 0 | 6 | 14.29% | 2 | 9.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63.04% | 92 | 0 | 0 | 0 | 0 | 1.19 | 0 | 0 | ||
| 18 | Matthew Robertson | D | 9 | 0 | 4 | 4 | 6 | 8 | 0 | 19 | 9 | 4 | 6 | 0.00% | 9 | 20.54 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
| 19 | Vladislav Kolyachonok | D | 20 | 0 | 3 | 3 | 3 | 2 | 0 | 0 | 13 | 4 | 6 | 0.00% | 20 | 14.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
| 20 | Noah Ostlund | C/LW | 25 | 2 | 1 | 3 | -4 | 2 | 0 | 4 | 45 | 10 | 33 | 4.44% | 2 | 11.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.89% | 247 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
| 21 | Mason Millman | D | 3 | 0 | 2 | 2 | -1 | 2 | 0 | 4 | 1 | 1 | 1 | 0.00% | 4 | 14.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | ||
| 22 | Kaden Hammell | D | 5 | 0 | 2 | 2 | -1 | 6 | 0 | 8 | 8 | 2 | 4 | 0.00% | 2 | 16.29 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
| 23 | Logan Mailloux | D | 9 | 0 | 1 | 1 | 4 | 2 | 0 | 11 | 2 | 2 | 1 | 0.00% | 4 | 14.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | ||
| 24 | Artyom Duda | D | 4 | 0 | 1 | 1 | -2 | 2 | 0 | 1 | 1 | 3 | 2 | 0.00% | 4 | 18.45 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
| Team Total or Average | 530 | 99 | 176 | 275 | 125 | 278 | 20 | 666 | 1044 | 312 | 676 | 9.48% | 249 | 16.27 | 23 | 39 | 62 | 992 | 4 | 6 | 10 | 800 | 16 | 4 | 56.12% | 2680 | 0 | 0 | 3 | 1 | 0.64 | 3 | 8 |
| 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 | Alexandar Georgiev | 28 | 17 | 7 | 3 | 0.913 | 2.57 | 1635 | 2 | 3 | 70 | 802 | 0 | 2 | 0 | 0.571 | 7 | 28 | 0 | 3 | 1 | 2 | |
| 2 | Brandon Halverson | 2 | 0 | 0 | 1 | 0.921 | 2.69 | 67 | 0 | 0 | 3 | 38 | 0 | 0 | 0 | 0.000 | 0 | 0 | 28 | 0 | 0 | 0 | |
| Team Total or Average | 30 | 17 | 7 | 4 | 0.913 | 2.57 | 1702 | 2 | 3 | 73 | 840 | 0 | 2 | 0 | 0.571 | 7 | 28 | 28 | 3 | 1 | 2 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexandar Georgiev | G | 29 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
| Amir Miftakhov | G | 25 | 775,000$ | 775,000$ | |||||||
| Andrew Agozzino | C/LW | 34 | 775,000$ | 775,000$ | UFA | ||||||
| Artyom Duda | D | 21 | 775,000$ | 775,000$ | RFA | ||||||
| Atro Leppanen | D | 26 | 975,000$ | 975,000$ | |||||||
| Brandon Halverson | G | 29 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Curtis Douglas | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Derrick Pouliot | D | 31 | 850,000$ | 850,000$ | UFA | ||||||
| Garin Bjorklund | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Hunter Drew | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Jacob Quillan | C/LW | 23 | 875,000$ | 875,000$ | RFA | ||||||
| Jeff Malott | LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Jesper Boqvist | C/LW/RW | 27 | 1,250,000$ | 1,250,000$ | UFA | ||||||
| Joni Jurmo | D | 23 | 850,000$ | 850,000$ | RFA | ||||||
| Josh Davies | C/LW | 21 | 828,000$ | 828,000$ | 828,000$ | RFA | |||||
| Kaden Hammell | D | 20 | 865,833$ | 865,833$ | 865,833$ | 865,833$ | RFA | ||||
| Lane Pederson | C/RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Liam McLinskey | LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Logan Mailloux | D | 22 | 875,000$ | 875,000$ | RFA | ||||||
| Marc Gatcomb | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Mason Millman | D | 24 | 800,000$ | 800,000$ | |||||||
| Matthew Benning | D | 31 | 1,250,000$ | 1,250,000$ | UFA | ||||||
| Matthew Robertson | D | 24 | 800,000$ | 800,000$ | |||||||
| Matvei Petrov | LW | 22 | 803,333$ | 803,333$ | RFA | ||||||
| Maxim Cajkovic | LW/RW | 24 | 0$ | ||||||||
| Milan Lucic | LW | 37 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Nicholas Abruzzese | C/LW | 26 | 850,000$ | 850,000$ | |||||||
| Nikita Nesterenko | C/LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Noah Ostlund | C/LW | 21 | 918,333$ | 918,333$ | RFA | ||||||
| Robin Salo | D | 27 | 850,000$ | 850,000$ | UFA | ||||||
| T.J. Tynan | C/RW | 33 | 800,000$ | 800,000$ | UFA | ||||||
| Trevor Carrick | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
| Tucker Robertson | C | 22 | 870,000$ | 870,000$ | RFA | ||||||
| Vladislav Kolyachonok | D | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Zach Dean | C | 22 | 852,000$ | 852,000$ | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 6 | 2 | 1.000 | 6 | 10 | 16 | 0 | 1 | 36 | 29 | 33 | 3 | 34 | 313 | 337 | 353 | 30 | 39 | 9 | 10 | 23 | 4 | 2 | 50.00% | 5 | 0 | 100.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 100.0% | 17.6% | 100.0% | 117.6 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 36 | 29 | 33 | 3 | 33 | 313 | 337 | 353 | 30 | 22 | 10 | 4 | 12 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 66.7% | 12.1% | 90.9% | 103.0 | FUN | |
| 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 15 | 23 | 0 | 1 | 36 | 29 | 33 | 3 | 70 | 313 | 337 | 353 | 30 | 53 | 15 | 12 | 44 | 9 | 3 | 33.33% | 6 | 0 | 100.00% | 1 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 71.4% | 11.4% | 96.2% | 107.7 | LUCKY | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 36 | 29 | 33 | 3 | 29 | 313 | 337 | 353 | 30 | 27 | 8 | 16 | 21 | 1 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 50.0% | 10.3% | 85.2% | 95.5 | FUN | |
| 5 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 7 | 2 | 5 | 0.833 | 9 | 15 | 24 | 0 | 0 | 36 | 29 | 33 | 3 | 87 | 313 | 337 | 353 | 30 | 107 | 23 | 57 | 76 | 9 | 3 | 33.33% | 22 | 3 | 86.36% | 2 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 60.0% | 10.3% | 93.5% | 103.8 | LUCKY | |
| 6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 9 | 14 | 0 | 0 | 36 | 29 | 33 | 3 | 42 | 313 | 337 | 353 | 30 | 48 | 12 | 10 | 18 | 7 | 1 | 14.29% | 5 | 2 | 60.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 50.0% | 11.9% | 87.5% | 99.4 | FUN | |
| 7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 36 | 29 | 33 | 3 | 83 | 313 | 337 | 353 | 30 | 58 | 15 | 22 | 33 | 7 | 1 | 14.29% | 10 | 3 | 70.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 50.0% | 6.0% | 87.9% | 94.0 | Unlucky | |
| 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 36 | 29 | 33 | 3 | 37 | 313 | 337 | 353 | 30 | 40 | 10 | 10 | 29 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 40.0% | 8.1% | 90.0% | 98.1 | Unlucky | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 36 | 29 | 33 | 3 | 77 | 313 | 337 | 353 | 30 | 50 | 14 | 8 | 50 | 10 | 1 | 10.00% | 4 | 0 | 100.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 66.7% | 14.3% | 90.0% | 104.3 | FUN | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 36 | 29 | 33 | 3 | 44 | 313 | 337 | 353 | 30 | 37 | 5 | 17 | 28 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 66.7% | 15.9% | 86.5% | 102.4 | FUN | |
| 11 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 14 | 23 | 0 | 0 | 36 | 29 | 33 | 3 | 122 | 313 | 337 | 353 | 30 | 82 | 27 | 22 | 68 | 23 | 5 | 21.74% | 10 | 2 | 80.00% | 1 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 44.4% | 7.4% | 91.5% | 98.8 | DULL | |
| 12 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 5 | 0.833 | 10 | 17 | 27 | 0 | 0 | 36 | 29 | 33 | 3 | 114 | 313 | 337 | 353 | 30 | 89 | 33 | 25 | 87 | 11 | 2 | 18.18% | 9 | 3 | 66.67% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 61.5% | 8.8% | 91.0% | 99.8 | Unlucky | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 36 | 29 | 33 | 3 | 34 | 313 | 337 | 353 | 30 | 23 | 6 | 4 | 21 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 20.0% | 5.9% | 78.3% | 84.1 | Unlucky | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 36 | 29 | 33 | 3 | 66 | 313 | 337 | 353 | 30 | 15 | 3 | 0 | 22 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 50.0% | 6.1% | 80.0% | 86.1 | Unlucky | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 36 | 29 | 33 | 3 | 27 | 313 | 337 | 353 | 30 | 42 | 13 | 20 | 33 | 3 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 50.0% | 7.4% | 90.5% | 97.9 | Unlucky | |
| 16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 36 | 29 | 33 | 3 | 35 | 313 | 337 | 353 | 30 | 29 | 8 | 11 | 19 | 3 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 100.0% | 2.9% | 93.1% | 96.0 | DULL | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 36 | 29 | 33 | 3 | 43 | 313 | 337 | 353 | 30 | 23 | 5 | 4 | 20 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 100.0% | 7.0% | 100.0% | 107.0 | DULL | |
| 18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 36 | 29 | 33 | 3 | 27 | 313 | 337 | 353 | 30 | 30 | 5 | 8 | 24 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 80.0% | 14.8% | 93.3% | 108.1 | LUCKY | |
| 19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 36 | 29 | 33 | 3 | 21 | 313 | 337 | 353 | 30 | 26 | 8 | 8 | 20 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 50.0% | 14.3% | 92.3% | 106.6 | LUCKY | |
| _Vs Division | 7 | 9 | 3 | 0 | 0 | 1 | 1 | 1 | 25 | 24 | 1 | 22 | 1.571 | 25 | 46 | 71 | 0 | 0 | 36 | 29 | 33 | 3 | 289 | 313 | 337 | 353 | 30 | 197 | 64 | 43 | 160 | 29 | 5 | 17.24% | 18 | 6 | 66.67% | 0 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 52.6% | 8.7% | 87.8% | 96.5 | Unlucky | |
| _Vs Conference | 19 | 10 | 5 | 0 | 0 | 2 | 1 | 1 | 62 | 53 | 9 | 25 | 0.658 | 62 | 112 | 174 | 0 | 1 | 36 | 29 | 33 | 3 | 705 | 313 | 337 | 353 | 30 | 569 | 162 | 184 | 438 | 83 | 17 | 20.48% | 80 | 17 | 78.75% | 4 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 55.6% | 8.8% | 90.7% | 99.5 | Unlucky | |
| _Since Last GM Reset | 28 | 16 | 7 | 0 | 0 | 2 | 1 | 2 | 99 | 75 | 24 | 38 | 0.679 | 99 | 172 | 271 | 0 | 3 | 36 | 29 | 33 | 3 | 1025 | 313 | 337 | 353 | 30 | 840 | 229 | 268 | 648 | 116 | 23 | 19.83% | 115 | 23 | 80.00% | 4 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 59.4% | 9.7% | 91.1% | 100.7 | Unlucky | |
| Total | 28 | 16 | 7 | 0 | 0 | 2 | 1 | 2 | 99 | 75 | 24 | 38 | 0.679 | 99 | 172 | 271 | 0 | 3 | 36 | 29 | 33 | 3 | 1025 | 313 | 337 | 353 | 30 | 840 | 229 | 268 | 648 | 116 | 23 | 19.83% | 115 | 23 | 80.00% | 4 | 642 | 1080 | 59.44% | 584 | 1005 | 58.11% | 258 | 455 | 56.70% | 719 | 494 | 614 | 217 | 370 | 194 | 59.4% | 9.7% | 91.1% | 100.7 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 13 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1080 |
| Neutral Zone Start | 455 |
| Defensive Zone Start | 1005 |
| Puck Time | |
|---|---|
| With Puck | 32 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1484 |
| Faceoffs Lost | 1056 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.2 | 9.57 |
| 2nd Period | 23.2 | 20.31 |
| 3rd Period | 35.8 | 30.68 |
| Overtime | 36.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.3 | 0.64 |
| 2nd Period | 2.3 | 1.65 |
| 3rd Period | 3.5 | 2.67 |
| Overtime | 3.6 | 2.83 |
| Even Strenght Goal | 72 |
|---|---|
| PP Goal | 23 |
| PK Goal | 4 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 9 | 8 |
| Lost | 5 | 2 |
| Overtime Lost | 1 | 3 |
| PP Attempt | 116 |
|---|---|
| PP Goal | 23 |
| PK Attempt | 115 |
| PK Goal Against | 23 |
| Home | |
|---|---|
| Shots For | 36.6 |
| Shots Against | 30.0 |
| Goals For | 3.5 |
| Goals Against | 2.7 |
| Hits | 23.1 |
| Shots Blocked | 8.2 |
| Pim | 9.6 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Bears4,Phantoms3 | RECAP | |||||||||||
| 2025-10-13 | @ | Phantoms4,Wolf Pack2 | RECAP | |||||||||||
| 2025-10-15 | @ | Checkers3,Phantoms4 | RECAP | |||||||||||
| 2025-10-18 | @ | Bruins1,Phantoms3 | RECAP | |||||||||||
| 2025-10-20 | @ | Phantoms4,Penguins2 | RECAP | |||||||||||
| 2025-10-21 | @ | Phantoms4,Thunderbirds2 | RECAP | |||||||||||
| 2025-10-23 | @ | Islanders0,Phantoms4 | RECAP | |||||||||||
| 2025-10-26 | @ | Thunderbirds1,Phantoms2 | RECAP | |||||||||||
| 2025-10-29 | @ | Phantoms4,Islanders2 | RECAP | |||||||||||
| 2025-10-30 | @ | Bears3,Phantoms2 | RECAP | |||||||||||
| 2025-11-01 | @ | Phantoms5,Rocket6 (OT) | RECAP | |||||||||||
| 2025-11-03 | @ | Reign1,Phantoms6 | RECAP | |||||||||||
| 2025-11-05 | @ | Phantoms5,Bruins4 | RECAP | |||||||||||
| 2025-11-10 | @ | Phantoms6,Wranglers0 | RECAP | |||||||||||
| 2025-11-12 | @ | Reign4,Phantoms5 | RECAP | |||||||||||
| 2025-11-14 | @ | Phantoms3,Barracuda2 | RECAP | |||||||||||
| 2025-11-16 | @ | Monsters4,Phantoms2 | RECAP | |||||||||||
| 2025-11-18 | @ | Phantoms2,Americans5 | RECAP | |||||||||||
| 2025-11-20 | @ | Thunderbirds4,Phantoms3 | RECAP | |||||||||||
| 2025-11-24 | @ | Wolf Pack3,Phantoms4 (SO) | RECAP | |||||||||||
| 2025-11-29 | @ | Bruins3,Phantoms2 (OT) | RECAP | |||||||||||
| 2025-12-01 | @ | Phantoms1,Wolf Pack2 (SO) | RECAP | |||||||||||
| 2025-12-03 | @ | Phantoms3,Wild4 (SO) | RECAP | |||||||||||
| 2025-12-05 | @ | Senators2,Phantoms4 | RECAP | |||||||||||
| 2025-12-08 | @ | Phantoms7,Condors5 | RECAP | |||||||||||
| 2025-12-11 | @ | Stars0,Phantoms3 | RECAP | |||||||||||
| 2025-12-13 | @ | Phantoms1,Moose2 | RECAP | |||||||||||
| 2025-12-14 | @ | Wolves4,Phantoms3 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,648,749$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Lehigh Valley | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| 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 |
| 21 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,648,749$ | 2,648,749$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,478,548$ | 14,715$ | 1,100,744$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 124 | 20,271$ | 2,270,352$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,270,352$ | 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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