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Full Scoreboard >> |
![]() | New York Gargoyles 31-34-8, 70pts · 10th in Lemieux Conference |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Greer | 0 | LW | 100.00 | 80 | 74 | 72 | 70 | 79 | 49 | 98 | 60 | 57 | 63 | 62 | 70 | 54 | 61 | 58 | 72 | 75 | 72 | 28 | 850,000$/1yrs | |||
Markus Nurmi (R) | 0 | LW/RW | 100.00 | 67 | 77 | 86 | 63 | 77 | 56 | 83 | 59 | 77 | 54 | 61 | 59 | 58 | 46 | 46 | 66 | 75 | 66 | 27 | 650,000$/1yrs | |||
Patrik Puistola (R) | 0 | LW/RW | 100.00 | 65 | 65 | 92 | 66 | 65 | 57 | 86 | 62 | 59 | 58 | 62 | 52 | 59 | 39 | 39 | 66 | 75 | 66 | 24 | 450,000$/2yrs | |||
Ty Mueller (R) | 0 | C | 100.00 | 65 | 66 | 89 | 65 | 66 | 55 | 83 | 60 | 68 | 57 | 57 | 60 | 55 | 35 | 35 | 65 | 75 | 65 | 22 | 500,000$/1yrs | |||
Vinzenz Rohrer (R) | 0 | C/RW | 100.00 | 64 | 61 | 91 | 63 | 61 | 56 | 87 | 57 | 30 | 49 | 59 | 56 | 56 | 39 | 39 | 63 | 75 | 63 | 20 | 625,000$/1yrs | |||
Nate Danielson (R) | 0 | C | 100.00 | 66 | 69 | 87 | 64 | 69 | 56 | 84 | 59 | 76 | 57 | 58 | 55 | 55 | 38 | 38 | 63 | 75 | 63 | 20 | 875,000$/2yrs | |||
Ben King (R) | 0 | C/RW | 100.00 | 66 | 75 | 80 | 63 | 75 | 54 | 82 | 55 | 57 | 47 | 58 | 46 | 55 | 38 | 38 | 62 | 75 | 62 | 23 | 550,000$/2yrs | |||
Logan Brown | 0 | C | 100.00 | 68 | 82 | 87 | 64 | 82 | 57 | 51 | 61 | 85 | 57 | 61 | 52 | 59 | 43 | 43 | 62 | 75 | 62 | 27 | 775,000$/1yrs | |||
Jonah Gadjovich (R) | 0 | LW | 100.00 | 77 | 85 | 88 | 68 | 79 | 46 | 51 | 56 | 54 | 58 | 63 | 67 | 54 | 59 | 58 | 62 | 75 | 62 | 26 | 775,000$/2yrs | |||
Keean Washkurak (R) | 0 | C/LW | 100.00 | 64 | 65 | 82 | 63 | 65 | 53 | 85 | 52 | 32 | 46 | 53 | 56 | 49 | 39 | 39 | 61 | 75 | 61 | 23 | 525,000$/1yrs | |||
Danny Nelson (R) | 0 | C/LW | 100.00 | 67 | 77 | 77 | 63 | 78 | 55 | 76 | 55 | 61 | 46 | 58 | 44 | 54 | 32 | 32 | 61 | 75 | 61 | 19 | 625,000$/2yrs | |||
Zachary Nehring (R) | 0 | RW | 100.00 | 65 | 67 | 82 | 64 | 68 | 54 | 81 | 53 | 41 | 47 | 53 | 58 | 50 | 32 | 32 | 61 | 75 | 61 | 20 | 550,000$/2yrs | |||
Yegor Zamula | 0 | D | 100.00 | 62 | 40 | 91 | 70 | 76 | 65 | 76 | 59 | 40 | 66 | 59 | 84 | 54 | 59 | 58 | 73 | 75 | 73 | 25 | 1,700,000$/2yrs | |||
Nolan Allan (R) | 0 | D | 100.00 | 63 | 45 | 80 | 74 | 73 | 62 | 68 | 57 | 41 | 63 | 57 | 72 | 55 | 56 | 57 | 65 | 75 | 65 | 22 | 825,000$/2yrs | |||
William Trudeau (R) | 0 | D | 100.00 | 65 | 74 | 79 | 64 | 73 | 54 | 86 | 48 | 25 | 38 | 41 | 68 | 39 | 40 | 40 | 62 | 75 | 62 | 22 | 856,667$/1yrs | |||
Maxime Lajoie (R) | 0 | D | 100.00 | 65 | 69 | 84 | 65 | 69 | 56 | 83 | 52 | 25 | 46 | 42 | 65 | 40 | 48 | 48 | 62 | 75 | 62 | 27 | 775,000$/1yrs | |||
Robin Salo (R) | 0 | D | 100.00 | 65 | 67 | 89 | 66 | 67 | 58 | 87 | 52 | 25 | 46 | 42 | 60 | 40 | 42 | 42 | 62 | 75 | 62 | 26 | 550,000$/2yrs | |||
Theo Lindstein (R) | 0 | D | 100.00 | 65 | 69 | 88 | 64 | 69 | 53 | 83 | 47 | 25 | 36 | 41 | 70 | 39 | 36 | 36 | 61 | 75 | 61 | 20 | 725,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Cross Hanas (R) | 0 | C/LW/RW | 100.00 | 65 | 66 | 88 | 63 | 66 | 53 | 79 | 52 | 34 | 46 | 53 | 54 | 49 | 38 | 38 | 60 | 75 | 60 | 23 | 859,167$/1yrs | |||
Jakub Brabenec (R) | 0 | C/LW | 100.00 | 66 | 67 | 91 | 62 | 67 | 53 | 77 | 52 | 36 | 46 | 53 | 48 | 49 | 37 | 37 | 60 | 75 | 60 | 21 | 828,333$/2yrs | |||
Olle Lycksell (R) | 0 | C/LW/RW | 100.00 | 59 | 55 | 78 | 67 | 59 | 62 | 70 | 64 | 55 | 65 | 61 | 67 | 60 | 61 | 58 | 59 | 75 | 59 | 25 | 787,500$/1yrs | |||
Samuel Savoie (R) | 0 | C/LW | 100.00 | 65 | 66 | 89 | 64 | 66 | 54 | 85 | 51 | 34 | 46 | 48 | 48 | 46 | 38 | 38 | 58 | 75 | 58 | 21 | 550,000$/1yrs | |||
Wade Allison (R) | 0 | LW/RW | 100.00 | 65 | 75 | 61 | 62 | 75 | 53 | 57 | 47 | 43 | 41 | 47 | 45 | 45 | 40 | 40 | 55 | 75 | 55 | 27 | 450,000$/1yrs | |||
Cal Thomas (R) | 0 | D | 100.00 | 65 | 66 | 85 | 63 | 66 | 53 | 75 | 46 | 25 | 36 | 40 | 65 | 38 | 33 | 33 | 59 | 75 | 59 | 22 | 500,000$/3yrs | |||
Kevin Korchinski (R) | 0 | D | 100.00 | 57 | 53 | 71 | 75 | 69 | 68 | 83 | 59 | 41 | 63 | 57 | 66 | 55 | 55 | 54 | 59 | 75 | 59 | 21 | 875,000$/1yrs | |||
Nate Clurman (R) | 0 | D | 100.00 | 65 | 74 | 80 | 65 | 75 | 54 | 62 | 49 | 25 | 43 | 41 | 67 | 39 | 39 | 39 | 59 | 75 | 59 | 27 | 775,000$/1yrs | |||
Mattias Havelid (R) | 0 | D | 100.00 | 65 | 64 | 87 | 64 | 64 | 54 | 68 | 48 | 25 | 39 | 41 | 56 | 39 | 34 | 34 | 57 | 75 | 57 | 21 | 725,000$/1yrs | |||
Andrew Gibson (R) | 0 | D | 100.00 | 65 | 77 | 67 | 63 | 77 | 53 | 74 | 47 | 25 | 36 | 41 | 56 | 38 | 36 | 36 | 57 | 75 | 57 | 20 | 725,000$/2yrs | |||
Alexander Alexeyev | 0 | D | 100.00 | 57 | 45 | 76 | 57 | 86 | 63 | 12 | 54 | 41 | 60 | 60 | 67 | 55 | 59 | 59 | 56 | 75 | 56 | 25 | 825,000$/1yrs | |||
Carter Berger (R) | 0 | D | 100.00 | 65 | 73 | 85 | 64 | 73 | 52 | 82 | 46 | 25 | 36 | 41 | 47 | 39 | 34 | 34 | 56 | 75 | 56 | 25 | 450,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Yaroslav Askarov | 0 | 98.50 | 67 | 73 | 65 | 72 | 74 | 71 | 73 | 68 | 68 | 67 | 70 | 59 | 55 | 64 | 75 | 64 | 23 | 925,000$/1yrs |
Nick Malik | 0 | 100.00 | 55 | 76 | 66 | 62 | 55 | 62 | 55 | 55 | 55 | 55 | 48 | 38 | 38 | 52 | 75 | 52 | 23 | 450,000$/1yrs |
| Scratches | ||||||||||||||||||||
Michael Hrabal | 0 | 100.00 | 52 | 74 | 64 | 72 | 52 | 59 | 52 | 52 | 52 | 52 | 45 | 33 | 33 | 51 | 75 | 51 | 20 | 725,000$/2yrs |
Olof Glifford | 0 | 100.00 | 51 | 52 | 55 | 70 | 51 | 58 | 51 | 51 | 51 | 51 | 44 | 30 | 30 | 49 | 75 | 49 | 20 | 450,000$/2yrs |
Vyacheslav Buteyets | 0 | 100.00 | 41 | 76 | 65 | 68 | 41 | 48 | 41 | 41 | 41 | 41 | 34 | 35 | 35 | 45 | 75 | 45 | 23 | 450,000$/1yrs |
Jesper Wallstedt | 0 | 100.00 | 34 | 67 | 62 | 67 | 34 | 41 | 34 | 34 | 34 | 34 | 27 | 35 | 35 | 42 | 75 | 42 | 22 | 925,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| 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% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | A.J. Greer | Gargoyles (MOU) | LW | 73 | 32 | 45 | 77 | 7 | 64 | 0 | 227 | 287 | 88 | 224 | 11.15% | 14 | 19.88 | 4 | 12 | 16 | 1 | 0 | 1 | 199 | 4 | 1 | 56.77% | 576 | 0 | 0 | 0 | 1 | 1.06 | 1 | 4 | |
| 2 | Ty Mueller | Gargoyles (MOU) | C | 73 | 21 | 48 | 69 | 7 | 12 | 0 | 38 | 163 | 55 | 137 | 12.88% | 3 | 17.35 | 5 | 13 | 18 | 0 | 1 | 1 | 91 | 0 | 0 | 52.57% | 1634 | 0 | 0 | 0 | 0 | 1.09 | 1 | 3 | |
| 3 | Nolan Allan | Gargoyles (MOU) | D | 60 | 23 | 41 | 64 | -2 | 36 | 0 | 118 | 156 | 41 | 77 | 14.74% | 80 | 21.94 | 9 | 9 | 18 | 1 | 0 | 1 | 145 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | |
| 4 | Yegor Zamula | Gargoyles (MOU) | D | 67 | 20 | 42 | 62 | -12 | 36 | 0 | 91 | 179 | 45 | 101 | 11.17% | 110 | 23.32 | 11 | 12 | 23 | 0 | 0 | 0 | 163 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 1 | 0.79 | 0 | 0 | |
| 5 | Markus Nurmi | Gargoyles (MOU) | LW/RW | 73 | 18 | 40 | 58 | 18 | 23 | 5 | 85 | 219 | 66 | 197 | 8.22% | 11 | 19.18 | 3 | 9 | 12 | 0 | 0 | 0 | 178 | 1 | 1 | 60.00% | 215 | 0 | 0 | 1 | 0 | 0.83 | 2 | 4 | |
| 6 | Nate Danielson | Gargoyles (MOU) | C | 68 | 24 | 26 | 50 | 6 | 22 | 0 | 72 | 189 | 44 | 117 | 12.70% | 7 | 15.53 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 3 | 1 | 58.26% | 1320 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | |
| 7 | Theo Lindstein | Gargoyles (MOU) | D | 72 | 9 | 31 | 40 | 23 | 44 | 0 | 102 | 83 | 46 | 66 | 10.84% | 99 | 17.22 | 0 | 0 | 0 | 0 | 0 | 0 | 89 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
| 8 | Maxime Lajoie | Gargoyles (MOU) | D | 73 | 11 | 27 | 38 | -13 | 60 | 0 | 138 | 106 | 37 | 66 | 10.38% | 108 | 21.19 | 5 | 6 | 11 | 0 | 1 | 1 | 180 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 9 | Patrik Puistola | Gargoyles (MOU) | LW/RW | 60 | 16 | 22 | 38 | -11 | 10 | 0 | 40 | 165 | 49 | 124 | 9.70% | 5 | 18.90 | 3 | 8 | 11 | 0 | 2 | 2 | 159 | 1 | 0 | 45.77% | 142 | 0 | 0 | 1 | 0 | 0.67 | 0 | 2 | |
| 10 | Vinzenz Rohrer | Gargoyles (MOU) | C/RW | 73 | 18 | 19 | 37 | 2 | 6 | 0 | 56 | 148 | 37 | 105 | 12.16% | 12 | 14.17 | 1 | 4 | 5 | 1 | 0 | 1 | 8 | 3 | 0 | 34.17% | 1036 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
| 11 | Robin Salo | Gargoyles (MOU) | D | 73 | 6 | 26 | 32 | -17 | 44 | 0 | 111 | 84 | 29 | 59 | 7.14% | 77 | 21.30 | 3 | 1 | 4 | 0 | 1 | 1 | 191 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 12 | Logan Brown | Gargoyles (MOU) | C | 60 | 10 | 21 | 31 | 8 | 27 | 5 | 83 | 76 | 19 | 55 | 13.16% | 16 | 14.22 | 0 | 1 | 1 | 0 | 0 | 0 | 17 | 2 | 0 | 61.15% | 489 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
| 13 | Jonah Gadjovich | Gargoyles (MOU) | LW | 54 | 15 | 11 | 26 | 6 | 48 | 10 | 90 | 105 | 31 | 107 | 14.29% | 9 | 11.29 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 4 | 0 | 49.44% | 89 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
| 14 | William Trudeau | Gargoyles (MOU) | D | 73 | 2 | 21 | 23 | 9 | 49 | 5 | 130 | 74 | 26 | 54 | 2.70% | 109 | 20.55 | 1 | 5 | 6 | 0 | 0 | 0 | 175 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 15 | Zachary Nehring | Gargoyles (MOU) | RW | 71 | 4 | 16 | 20 | -11 | 20 | 0 | 48 | 95 | 22 | 72 | 4.21% | 9 | 11.52 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 41.30% | 46 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 16 | Danny Nelson | Gargoyles (MOU) | C/LW | 73 | 12 | 6 | 18 | 6 | 18 | 0 | 69 | 67 | 23 | 48 | 17.91% | 2 | 10.56 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 3 | 1 | 56.03% | 116 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 17 | Ben King | Gargoyles (MOU) | C/RW | 68 | 4 | 12 | 16 | -2 | 22 | 0 | 64 | 74 | 25 | 54 | 5.41% | 4 | 12.42 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 1 | 56.17% | 162 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 18 | Keean Washkurak | Gargoyles (MOU) | C/LW | 62 | 7 | 7 | 14 | -6 | 6 | 0 | 32 | 52 | 14 | 49 | 13.46% | 9 | 9.83 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0 | 0 | 36.36% | 253 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 19 | Alexander Alexeyev | Gargoyles (MOU) | D | 8 | 1 | 4 | 5 | -3 | 2 | 0 | 12 | 12 | 4 | 4 | 8.33% | 12 | 17.55 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
| 20 | Cross Hanas | Gargoyles (MOU) | C/LW/RW | 16 | 4 | 1 | 5 | -4 | 4 | 0 | 16 | 28 | 8 | 16 | 14.29% | 0 | 10.46 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 1 | 57.14% | 14 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 21 | Jakub Brabenec | Gargoyles (MOU) | C/LW | 23 | 1 | 4 | 5 | -10 | 6 | 0 | 12 | 18 | 4 | 11 | 5.56% | 0 | 8.02 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 33.33% | 156 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 22 | Kevin Korchinski | Gargoyles (MOU) | D | 10 | 0 | 5 | 5 | -1 | 2 | 0 | 9 | 10 | 6 | 8 | 0.00% | 15 | 16.48 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 23 | Cal Thomas | Gargoyles (MOU) | D | 5 | 0 | 1 | 1 | -1 | 0 | 0 | 9 | 0 | 2 | 1 | 0.00% | 8 | 17.43 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 24 | Nate Clurman | Gargoyles (MOU) | D | 6 | 0 | 1 | 1 | -2 | 2 | 0 | 10 | 3 | 2 | 2 | 0.00% | 8 | 17.60 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| Team Total or Average | 1294 | 258 | 477 | 735 | -3 | 563 | 25 | 1662 | 2393 | 723 | 1754 | 10.78% | 727 | 16.55 | 48 | 84 | 132 | 1758 | 3 | 5 | 8 | 1830 | 30 | 7 | 50.78% | 6248 | 0 | 0 | 2 | 2 | 0.69 | 4 | 13 |
| 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 | Yaroslav Askarov | Gargoyles (MOU) | 66 | 30 | 26 | 8 | 0.895 | 3.45 | 3795 | 8 | 1 | 218 | 2086 | 0 | 1 | 2 | 0.467 | 15 | 65 | 7 | 4 | 2 | 1 |
| 2 | Nick Malik | Gargoyles (MOU) | 14 | 1 | 8 | 0 | 0.871 | 4.65 | 593 | 2 | 0 | 46 | 357 | 0 | 0 | 1 | 0.000 | 0 | 8 | 65 | 0 | 0 | 0 |
| 3 | Michael Hrabal | Gargoyles (MOU) | 1 | 0 | 0 | 0 | 0.833 | 3.53 | 17 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 0.000 | 0 | 0 | 1 | 0 | 0 | 0 |
| Team Total or Average | 81 | 31 | 34 | 8 | 0.892 | 3.61 | 4406 | 10 | 1 | 265 | 2449 | 0 | 1 | 3 | 0.467 | 15 | 73 | 73 | 4 | 2 | 1 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| A.J. Greer | LW | 28 | 850,000$ | 850,000$ | RFA | ||||||
| Alexander Alexeyev | D | 25 | 825,000$ | 825,000$ | RFA | ||||||
| Andrew Gibson | D | 20 | 725,000$ | 725,000$ | 725,000$ | ||||||
| Ben King | C/RW | 23 | 550,000$ | 550,000$ | 550,000$ | ||||||
| Cal Thomas | D | 22 | 500,000$ | 500,000$ | 500,000$ | 500,000$ | |||||
| Carter Berger | D | 25 | 450,000$ | 450,000$ | RFA | ||||||
| Cross Hanas | C/LW/RW | 23 | 859,167$ | 859,167$ | |||||||
| Danny Nelson | C/LW | 19 | 625,000$ | 625,000$ | 625,000$ | ||||||
| Jakub Brabenec | C/LW | 21 | 828,333$ | 828,333$ | 828,333$ | ||||||
| Jesper Wallstedt | G | 22 | 925,000$ | 925,000$ | |||||||
| Jonah Gadjovich | LW | 26 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
| Keean Washkurak | C/LW | 23 | 525,000$ | 525,000$ | RFA | ||||||
| Kevin Korchinski | D | 21 | 875,000$ | 875,000$ | |||||||
| Logan Brown | C | 27 | 775,000$ | 775,000$ | RFA | ||||||
| Markus Nurmi | LW/RW | 27 | 650,000$ | 650,000$ | RFA | ||||||
| Mattias Havelid | D | 21 | 725,000$ | 725,000$ | |||||||
| Maxime Lajoie | D | 27 | 775,000$ | 775,000$ | RFA | ||||||
| Michael Hrabal | G | 20 | 725,000$ | 725,000$ | 725,000$ | ||||||
| Nate Clurman | D | 27 | 775,000$ | 775,000$ | RFA | ||||||
| Nate Danielson | C | 20 | 875,000$ | 875,000$ | 875,000$ | ||||||
| Nick Malik | G | 23 | 450,000$ | 450,000$ | |||||||
| Nolan Allan | D | 22 | 825,000$ | 825,000$ | 825,000$ | ||||||
| Olle Lycksell | C/LW/RW | 25 | 787,500$ | 787,500$ | RFA | ||||||
| Olof Glifford | G | 20 | 450,000$ | 450,000$ | 450,000$ | ||||||
| Patrik Puistola | LW/RW | 24 | 450,000$ | 450,000$ | 450,000$ | RFA | |||||
| Robin Salo | D | 26 | 550,000$ | 550,000$ | 550,000$ | RFA | |||||
| Samuel Savoie | C/LW | 21 | 550,000$ | 550,000$ | |||||||
| Theo Lindstein | D | 20 | 725,000$ | 725,000$ | 725,000$ | ||||||
| Ty Mueller | C | 22 | 500,000$ | 500,000$ | |||||||
| Vinzenz Rohrer | C/RW | 20 | 625,000$ | 625,000$ | |||||||
| Vyacheslav Buteyets | G | 23 | 450,000$ | 450,000$ | |||||||
| Wade Allison | LW/RW | 27 | 450,000$ | 450,000$ | RFA | ||||||
| William Trudeau | D | 22 | 856,667$ | 856,667$ | |||||||
| Yaroslav Askarov | G | 23 | 925,000$ | 925,000$ | |||||||
| Yegor Zamula | D | 25 | 1,700,000$ | 1,700,000$ | 1,700,000$ | RFA | |||||
| Zachary Nehring | RW | 20 | 550,000$ | 550,000$ | 550,000$ |
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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 | HK | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 2.67 | 3.33 | -0.67 | 3 | 0.500 | 2.7 | 4.3 | 7.0 | 0 | 0 | 106 | 90 | 74 | 6 | 22.3 | 814 | 834 | 781 | 34 | 40.7 | 11.3 | 9.33 | 21.7 | 2.67 | 0.67 | 25.00% | 4.67 | 1.00 | 78.57% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 568.33 | 378.33 | 567.33 | 188.33 | 335.00 | 166.33 | 46.2% | 11.9% | 91.8% | 103.7 | LUCKY |
| 2 | Ninjas | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3.50 | 5.50 | -2.00 | 0 | 0.000 | 3.5 | 6.0 | 9.5 | 0 | 0 | 106 | 90 | 74 | 6 | 28.0 | 814 | 834 | 781 | 34 | 39.5 | 13.0 | 12.00 | 24.5 | 2.50 | 1.00 | 40.00% | 6.00 | 1.00 | 83.33% | 1 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 35.7% | 12.5% | 86.1% | 98.6 | FUN |
| 3 | Junior Wolves | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 3.00 | 3.00 | 4 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 1 | 106 | 90 | 74 | 6 | 41.0 | 814 | 834 | 781 | 34 | 32.5 | 10.5 | 8.00 | 23.0 | 3.50 | 0.50 | 14.29% | 4.00 | 1.00 | 75.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 73.3% | 14.6% | 90.8% | 105.4 | FUN |
| 4 | Bulldogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.50 | -1.50 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 106 | 90 | 74 | 6 | 28.0 | 814 | 834 | 781 | 34 | 29.0 | 10.5 | 9.00 | 19.5 | 3.50 | 0.50 | 14.29% | 4.50 | 0.50 | 88.89% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 33.3% | 7.1% | 87.9% | 95.1 | Unlucky |
| 5 | Shockers | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.25 | 0.25 | 6 | 0.750 | 3.5 | 6.3 | 9.8 | 0 | 0 | 106 | 90 | 74 | 6 | 32.0 | 814 | 834 | 781 | 34 | 35.8 | 8.3 | 9.00 | 19.3 | 3.25 | 0.50 | 15.38% | 4.25 | 0.75 | 82.35% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 426.25 | 283.75 | 425.50 | 141.25 | 251.25 | 124.75 | 54.5% | 10.9% | 90.9% | 101.8 | FUN |
| 6 | Sailors | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3.00 | 5.00 | -2.00 | 0 | 0.000 | 3.0 | 5.3 | 8.3 | 0 | 0 | 106 | 90 | 74 | 6 | 29.7 | 814 | 834 | 781 | 34 | 30.3 | 10.3 | 13.00 | 27.0 | 3.00 | 1.33 | 44.44% | 4.00 | 0.67 | 83.33% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 568.33 | 378.33 | 567.33 | 188.33 | 335.00 | 166.33 | 27.8% | 10.1% | 83.5% | 93.6 | FUN |
| 7 | Devils | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 2 | 0.500 | 2.0 | 3.0 | 5.0 | 0 | 0 | 106 | 90 | 74 | 6 | 21.5 | 814 | 834 | 781 | 34 | 39.5 | 5.0 | 6.00 | 21.0 | 1.50 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 33.3% | 9.3% | 89.9% | 99.2 | FUN |
| 8 | Eagles | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 2 | 0.333 | 4.0 | 7.3 | 11.3 | 0 | 0 | 106 | 90 | 74 | 6 | 38.0 | 814 | 834 | 781 | 34 | 30.3 | 10.0 | 7.67 | 22.0 | 3.33 | 0.33 | 10.00% | 2.67 | 1.33 | 50.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 568.33 | 378.33 | 567.33 | 188.33 | 335.00 | 166.33 | 50.0% | 10.5% | 83.5% | 94.0 | FUN |
| 9 | Ravens | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3.00 | 5.00 | -2.00 | 0 | 0.000 | 3.0 | 5.5 | 8.5 | 2 | 0 | 106 | 90 | 74 | 6 | 28.0 | 814 | 834 | 781 | 34 | 32.0 | 8.5 | 11.00 | 26.5 | 2.00 | 0.50 | 25.00% | 5.00 | 0.50 | 90.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 35.7% | 10.7% | 84.4% | 95.1 | FUN |
| 10 | Venom | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4.00 | 3.00 | 1.00 | 2 | 1.000 | 4.0 | 5.0 | 9.0 | 0 | 0 | 106 | 90 | 74 | 6 | 31.0 | 814 | 834 | 781 | 34 | 45.0 | 11.0 | 4.00 | 21.0 | 0.00 | 0.00 | 0.00% | 2.00 | 0.00 | 100.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 1,705.00 | 1,135.00 | 1,702.00 | 565.00 | 1,005.00 | 499.00 | 57.1% | 12.9% | 93.3% | 106.2 | LUCKY |
| 11 | Indians | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 106 | 90 | 74 | 6 | 24.5 | 814 | 834 | 781 | 34 | 35.5 | 13.0 | 16.50 | 26.5 | 3.50 | 1.50 | 42.86% | 3.50 | 0.00 | 100.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 33.3% | 12.2% | 91.5% | 103.8 | LUCKY |
| 12 | Squirrels | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3.00 | 4.00 | -1.00 | 0 | 0.000 | 3.0 | 5.5 | 8.5 | 0 | 0 | 106 | 90 | 74 | 6 | 29.0 | 814 | 834 | 781 | 34 | 41.0 | 11.0 | 5.00 | 26.5 | 1.50 | 1.00 | 66.67% | 2.50 | 1.00 | 60.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 40.0% | 10.3% | 90.2% | 100.6 | FUN |
| 13 | Blades | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5.00 | 3.00 | 2.00 | 3 | 0.750 | 5.0 | 9.5 | 14.5 | 0 | 0 | 106 | 90 | 74 | 6 | 40.5 | 814 | 834 | 781 | 34 | 39.5 | 14.5 | 5.00 | 19.5 | 3.00 | 0.50 | 16.67% | 2.50 | 0.00 | 100.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 60.0% | 12.3% | 92.4% | 104.8 | LUCKY |
| 14 | Sharknado | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 3.25 | 3.25 | 0.00 | 3 | 0.375 | 3.3 | 6.3 | 9.5 | 0 | 0 | 106 | 90 | 74 | 6 | 33.0 | 814 | 834 | 781 | 34 | 32.5 | 5.3 | 7.50 | 23.0 | 3.50 | 0.50 | 14.29% | 3.50 | 1.25 | 64.29% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 426.25 | 283.75 | 425.50 | 141.25 | 251.25 | 124.75 | 57.9% | 9.8% | 90.0% | 99.8 | FUN |
| 15 | Barking Spiders | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4.00 | 3.50 | 0.50 | 3 | 0.750 | 4.0 | 6.0 | 10.0 | 0 | 0 | 106 | 90 | 74 | 6 | 34.5 | 814 | 834 | 781 | 34 | 37.5 | 10.5 | 14.00 | 18.0 | 1.50 | 0.00 | 0.00% | 7.00 | 1.50 | 78.57% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 66.7% | 11.6% | 90.7% | 102.3 | FUN |
| 16 | Space Invaders | 6 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 5.17 | 4.17 | 1.00 | 10 | 0.833 | 5.2 | 9.0 | 14.2 | 0 | 0 | 106 | 90 | 74 | 6 | 44.3 | 814 | 834 | 781 | 34 | 31.2 | 9.7 | 9.50 | 24.3 | 3.00 | 0.67 | 22.22% | 4.00 | 0.83 | 79.17% | 2 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 284.17 | 189.17 | 283.67 | 94.17 | 167.50 | 83.17 | 57.4% | 11.7% | 86.6% | 98.3 | FUN |
| 17 | Checkers | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 5.17 | 1.67 | 3.50 | 10 | 0.833 | 5.2 | 9.5 | 14.7 | 0 | 0 | 106 | 90 | 74 | 6 | 42.2 | 814 | 834 | 781 | 34 | 24.0 | 6.5 | 4.00 | 21.0 | 4.00 | 0.83 | 20.83% | 1.83 | 0.00 | 100.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 284.17 | 189.17 | 283.67 | 94.17 | 167.50 | 83.17 | 72.2% | 12.3% | 93.1% | 105.3 | LUCKY |
| 18 | Vikings | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 5.50 | -4.00 | 0 | 0.000 | 1.5 | 3.0 | 4.5 | 1 | 0 | 106 | 90 | 74 | 6 | 22.0 | 814 | 834 | 781 | 34 | 31.5 | 9.5 | 6.00 | 27.0 | 1.50 | 0.00 | 0.00% | 2.50 | 0.00 | 100.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 21.4% | 6.8% | 82.5% | 89.4 | Unlucky |
| 19 | Kangaroos | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 4.00 | -1.50 | 1 | 0.250 | 2.5 | 5.0 | 7.5 | 0 | 0 | 106 | 90 | 74 | 6 | 26.0 | 814 | 834 | 781 | 34 | 34.0 | 10.0 | 13.00 | 25.5 | 3.00 | 1.00 | 33.33% | 6.00 | 1.00 | 83.33% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 33.3% | 9.6% | 88.2% | 97.9 | FUN |
| 20 | Thistles | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.40 | 1.60 | 8 | 0.800 | 5.0 | 8.8 | 13.8 | 0 | 0 | 106 | 90 | 74 | 6 | 41.2 | 814 | 834 | 781 | 34 | 28.6 | 6.8 | 5.20 | 22.8 | 2.80 | 0.80 | 28.57% | 2.20 | 0.80 | 63.64% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 341.00 | 227.00 | 340.40 | 113.00 | 201.00 | 99.80 | 61.8% | 12.1% | 88.1% | 100.2 | FUN |
| 21 | Barracudas | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3.50 | 4.50 | -1.00 | 0 | 0.000 | 3.5 | 6.5 | 10.0 | 0 | 0 | 106 | 90 | 74 | 6 | 37.5 | 814 | 834 | 781 | 34 | 38.0 | 7.0 | 11.00 | 19.0 | 2.50 | 0.50 | 20.00% | 4.50 | 0.50 | 88.89% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 42.9% | 9.3% | 88.2% | 97.5 | FUN |
| 22 | Senators | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.00 | 4.50 | -3.50 | 0 | 0.000 | 1.0 | 1.5 | 2.5 | 0 | 0 | 106 | 90 | 74 | 6 | 32.0 | 814 | 834 | 781 | 34 | 34.0 | 8.0 | 8.50 | 30.5 | 4.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 18.2% | 3.1% | 86.8% | 89.9 | Unlucky |
| 23 | Pimps | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.00 | 3.00 | 2 | 1.000 | 5.0 | 7.0 | 12.0 | 0 | 0 | 106 | 90 | 74 | 6 | 22.0 | 814 | 834 | 781 | 34 | 47.0 | 21.0 | 12.00 | 31.0 | 1.00 | 1.00 | 100.00% | 6.00 | 0.00 | 100.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 1,705.00 | 1,135.00 | 1,702.00 | 565.00 | 1,005.00 | 499.00 | 66.7% | 22.7% | 95.7% | 118.5 | LUCKY |
| 24 | Wolf Pack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.50 | 0.50 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 0 | 106 | 90 | 74 | 6 | 34.0 | 814 | 834 | 781 | 34 | 31.0 | 6.5 | 5.00 | 27.5 | 3.50 | 0.00 | 0.00% | 2.50 | 1.50 | 40.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 66.7% | 11.8% | 88.7% | 100.5 | FUN |
| 25 | Assassins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.50 | 1.50 | 4 | 1.000 | 4.0 | 6.5 | 10.5 | 0 | 0 | 106 | 90 | 74 | 6 | 27.0 | 814 | 834 | 781 | 34 | 35.5 | 9.5 | 7.00 | 20.5 | 2.00 | 1.00 | 50.00% | 3.50 | 0.00 | 100.00% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 54.5% | 14.8% | 93.0% | 107.8 | LUCKY |
| 26 | Zolos | 5 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 3.00 | 5.00 | -2.00 | 1 | 0.100 | 3.0 | 5.2 | 8.2 | 0 | 0 | 106 | 90 | 74 | 6 | 32.8 | 814 | 834 | 781 | 34 | 36.0 | 9.0 | 4.40 | 24.6 | 4.60 | 0.60 | 13.04% | 2.20 | 0.20 | 90.91% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 341.00 | 227.00 | 340.40 | 113.00 | 201.00 | 99.80 | 33.3% | 9.1% | 86.1% | 95.3 | FUN |
| 27 | Huskies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.50 | 1.50 | 2 | 0.500 | 4.0 | 8.0 | 12.0 | 0 | 0 | 106 | 90 | 74 | 6 | 34.5 | 814 | 834 | 781 | 34 | 34.5 | 8.0 | 8.00 | 28.5 | 1.00 | 1.00 | 100.00% | 3.00 | 0.50 | 83.33% | 0 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 852.50 | 567.50 | 851.00 | 282.50 | 502.50 | 249.50 | 60.0% | 11.6% | 92.8% | 104.3 | LUCKY |
| _Vs Division | 30 | 17 | 9 | 0 | 0 | 2 | 0 | 2 | 4.30 | 3.43 | 0.87 | 38 | 0.633 | 4.3 | 7.7 | 12.0 | 0 | 0 | 106 | 90 | 74 | 6 | 38.3 | 814 | 834 | 781 | 34 | 30.9 | 7.7 | 6.50 | 22.6 | 3.53 | 0.67 | 18.87% | 2.93 | 0.60 | 79.55% | 2 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 56.83 | 37.83 | 56.73 | 18.83 | 33.50 | 16.63 | 56.2% | 11.2% | 88.9% | 100.1 | FUN | |
| _Vs Conference | 46 | 20 | 20 | 0 | 0 | 3 | 1 | 2 | 3.89 | 3.74 | 0.15 | 47 | 0.511 | 3.9 | 6.9 | 10.8 | 1 | 0 | 106 | 90 | 74 | 6 | 35.2 | 814 | 834 | 781 | 34 | 32.2 | 8.5 | 6.98 | 23.3 | 3.17 | 0.63 | 19.86% | 3.02 | 0.70 | 76.98% | 2 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 37.07 | 24.67 | 37.00 | 12.28 | 21.85 | 10.85 | 51.7% | 11.0% | 88.4% | 99.5 | FUN | |
| _Since Last GM Reset | 73 | 30 | 34 | 0 | 0 | 5 | 1 | 3 | 3.71 | 3.71 | 0.00 | 70 | 0.479 | 3.7 | 6.6 | 10.3 | 3 | 1 | 106 | 90 | 74 | 6 | 33.5 | 814 | 834 | 781 | 34 | 33.6 | 9.1 | 8.10 | 23.4 | 2.93 | 0.63 | 21.50% | 3.51 | 0.62 | 82.42% | 3 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 23.36 | 15.55 | 23.32 | 7.74 | 13.77 | 6.84 | 49.9% | 11.1% | 88.9% | 100.0 | FUN | |
| Total | 73 | 30 | 34 | 0 | 0 | 5 | 1 | 3 | 3.71 | 3.71 | 0.00 | 70 | 0.479 | 3.7 | 6.6 | 10.3 | 3 | 1 | 106 | 90 | 74 | 6 | 33.5 | 814 | 834 | 781 | 34 | 33.6 | 9.1 | 8.10 | 23.4 | 2.93 | 0.63 | 21.50% | 3.51 | 0.62 | 82.42% | 3 | 1283 | 2508 | 51.16% | 1373 | 2657 | 51.67% | 670 | 1293 | 51.82% | 23.36 | 15.55 | 23.32 | 7.74 | 13.77 | 6.84 | 49.9% | 11.1% | 88.9% | 100.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2508 |
| Neutral Zone Start | 1293 |
| Defensive Zone Start | 2657 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3326 |
| Faceoffs Lost | 3132 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.2 | 9.57 |
| 2nd Period | 22.6 | 20.31 |
| 3rd Period | 33.3 | 30.68 |
| Overtime | 33.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.5 | 0.64 |
| 2nd Period | 2.7 | 1.65 |
| 3rd Period | 3.7 | 2.67 |
| Overtime | 3.8 | 2.83 |
| Even Strenght Goal | 219 |
|---|---|
| PP Goal | 46 |
| PK Goal | 3 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 20 | 11 |
| Lost | 15 | 19 |
| Overtime Lost | 2 | 6 |
| PP Attempt | 214 |
|---|---|
| PP Goal | 46 |
| PK Attempt | 256 |
| PK Goal Against | 45 |
| Home | |
|---|---|
| Shots For | 33.5 |
| Shots Against | 33.6 |
| Goals For | 3.7 |
| Goals Against | 3.7 |
| Hits | 23.4 |
| Shots Blocked | 9.1 |
| Pim | 8.1 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,375,667$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | New York | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 59806 | 30373 | |||
| Attendance PCT | 80.82% | 82.09% | 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 |
| 4 | 2437 - 81.24% | 68,887$ | 2,548,805$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,375,667$ | 2,375,667$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,157,220$ | 12,246$ | 2,140,145$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 275,546$ | 21 | 12,246$ | 257,166$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 257,166$ | 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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