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Full Scoreboard >> |
![]() | New York Gargoyles 0-1-0, 0pts · 13th 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$/2yrs | |||
Peter Cehlarik | 0 | LW/RW | 100.00 | 66 | 73 | 86 | 63 | 73 | 56 | 82 | 61 | 73 | 56 | 61 | 46 | 58 | 47 | 47 | 65 | 75 | 65 | 29 | 500,000$/1yrs | |||
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 | 73 | 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 | |||
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$/2yrs | |||
Zachary Nehring (R) | 0 | RW | 100.00 | 65 | 67 | 82 | 64 | 68 | 54 | 80 | 53 | 41 | 47 | 53 | 58 | 50 | 32 | 32 | 61 | 75 | 61 | 20 | 550,000$/2yrs | |||
Nolan Allan (R) | 0 | D | 100.00 | 63 | 45 | 80 | 74 | 73 | 62 | 52 | 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 | 79 | 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$/2yrs | |||
Alexander Alexeyev | 0 | D | 100.00 | 57 | 45 | 76 | 57 | 86 | 63 | 10 | 54 | 41 | 60 | 60 | 67 | 55 | 59 | 59 | 56 | 75 | 56 | 25 | 825,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
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$/1yrs | |||
Cross Hanas (R) | 0 | C/LW/RW | 100.00 | 65 | 66 | 88 | 63 | 66 | 53 | 79 | 52 | 34 | 46 | 53 | 54 | 49 | 38 | 38 | 60 | 75 | 60 | 23 | 859,167$/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$/2yrs | |||
Olle Lycksell (R) | 0 | C/LW/RW | 100.00 | 59 | 55 | 78 | 67 | 59 | 62 | 23 | 64 | 55 | 65 | 61 | 67 | 60 | 61 | 58 | 59 | 75 | 59 | 25 | 787,500$/1yrs | |||
Samuel Savoie (R) | 0 | C/LW | 100.00 | 65 | 66 | 89 | 64 | 66 | 54 | 71 | 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$/3yrs | |||
Kevin Korchinski (R) | 0 | D | 100.00 | 57 | 53 | 71 | 75 | 69 | 68 | 19 | 59 | 41 | 63 | 57 | 66 | 55 | 55 | 54 | 59 | 75 | 59 | 21 | 875,000$/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$/2yrs | |||
Carter Berger (R) | 0 | D | 100.00 | 65 | 73 | 85 | 64 | 73 | 52 | 82 | 46 | 25 | 36 | 41 | 47 | 39 | 34 | 34 | 56 | 75 | 56 | 25 | 450,000$/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 | 98.00 | 67 | 52 | 65 | 72 | 74 | 71 | 73 | 68 | 68 | 67 | 70 | 59 | 55 | 64 | 75 | 64 | 23 | 925,000$/1yrs |
Nick Malik | 0 | 100.00 | 55 | 56 | 66 | 62 | 55 | 62 | 55 | 55 | 55 | 55 | 48 | 38 | 38 | 52 | 75 | 52 | 23 | 450,000$/1yrs |
| Scratches | ||||||||||||||||||||
Michael Hrabal | 0 | 100.00 | 52 | 56 | 64 | 72 | 52 | 59 | 52 | 52 | 52 | 52 | 45 | 33 | 33 | 51 | 75 | 51 | 20 | 725,000$/2yrs |
Olof Glifford | 0 | 100.00 | 51 | 46 | 55 | 70 | 51 | 58 | 51 | 51 | 51 | 51 | 44 | 30 | 30 | 49 | 75 | 49 | 20 | 450,000$/2yrs |
Vyacheslav Buteyets | 0 | 100.00 | 41 | 53 | 65 | 68 | 41 | 48 | 41 | 41 | 41 | 41 | 34 | 35 | 35 | 45 | 75 | 45 | 23 | 450,000$/1yrs |
Jesper Wallstedt | 0 | 100.00 | 34 | 50 | 62 | 67 | 34 | 41 | 34 | 34 | 34 | 34 | 27 | 35 | 35 | 42 | 75 | 42 | 22 | 925,000$/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 | Nolan Allan | Gargoyles (MOU) | D | 1 | 1 | 1 | 2 | -1 | 0 | 0 | 1 | 5 | 0 | 2 | 20.00% | 2 | 25.42 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.57 | 0 | 0 | |
| 2 | William Trudeau | Gargoyles (MOU) | D | 1 | 0 | 2 | 2 | -1 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 2 | 24.57 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.63 | 0 | 0 | |
| 3 | Alexander Alexeyev | Gargoyles (MOU) | D | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0.00% | 1 | 13.83 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.45 | 0 | 0 | |
| 4 | A.J. Greer | Gargoyles (MOU) | LW | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 5 | 2 | 0 | 20.00% | 0 | 20.22 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | |
| 5 | Danny Nelson | Gargoyles (MOU) | C/LW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 8.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 2.32 | 0 | 0 | |
| 6 | Peter Cehlarik | Gargoyles (MOU) | LW/RW | 1 | 0 | 1 | 1 | -3 | 0 | 0 | 2 | 2 | 0 | 4 | 0.00% | 0 | 20.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | |
| 7 | Logan Brown | Gargoyles (MOU) | C | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 1 | 1 | 50.00% | 0 | 9.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73.33% | 15 | 0 | 0 | 0 | 0 | 2.12 | 0 | 0 | |
| 8 | Nate Danielson | Gargoyles (MOU) | C | 1 | 1 | 0 | 1 | -3 | 0 | 0 | 0 | 5 | 0 | 2 | 20.00% | 0 | 20.75 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 35.48% | 31 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | |
| 9 | Ty Mueller | Gargoyles (MOU) | C | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 2 | 0 | 1 | 0.00% | 1 | 19.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.95% | 37 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | |
| 10 | Zachary Nehring | Gargoyles (MOU) | RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 8.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 2.34 | 0 | 0 | |
| 11 | Ben King | Gargoyles (MOU) | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 9.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 12 | Vinzenz Rohrer | Gargoyles (MOU) | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 9.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26.67% | 15 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 13 | Markus Nurmi | Gargoyles (MOU) | LW/RW | 1 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 3 | 0 | 4 | 0.00% | 0 | 21.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 14 | Maxime Lajoie | Gargoyles (MOU) | D | 1 | 0 | 0 | 0 | -2 | 2 | 0 | 7 | 0 | 0 | 0 | 0.00% | 0 | 20.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 15 | Jonah Gadjovich | Gargoyles (MOU) | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 8.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 16 | Patrik Puistola | Gargoyles (MOU) | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 1 | 0 | 0.00% | 0 | 20.77 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 17 | Robin Salo | Gargoyles (MOU) | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 1 | 1 | 1 | 0.00% | 1 | 21.60 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 18 | Theo Lindstein | Gargoyles (MOU) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0.00% | 0 | 14.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 18 | 4 | 8 | 12 | -15 | 2 | 0 | 27 | 33 | 5 | 18 | 12.12% | 7 | 16.56 | 1 | 2 | 3 | 65 | 0 | 0 | 0 | 7 | 0 | 0 | 41.51% | 106 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 |
| 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) | 1 | 0 | 1 | 0 | 0.854 | 6.00 | 60 | 0 | 0 | 6 | 41 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
| Team Total or Average | 1 | 0 | 1 | 0 | 0.854 | 6.00 | 60 | 0 | 0 | 6 | 41 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
| 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 | |||||
| Peter Cehlarik | LW/RW | 29 | 500,000$ | 500,000$ | |||||||
| 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$ | |||||||
| 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 | Zolos | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 6.00 | -2.00 | 0 | 0.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 1 | 1 | 2 | 0 | 33.0 | 12 | 12 | 9 | 0 | 41.0 | 7.0 | 2.00 | 27.0 | 7.00 | 1.00 | 14.29% | 1.00 | 0.00 | 100.00% | 0 | 17 | 42 | 40.48% | 17 | 46 | 36.96% | 10 | 18 | 55.56% | 24.00 | 16.00 | 22.00 | 6.00 | 13.00 | 6.00 | 33.3% | 12.1% | 85.4% | 97.5 | FUN |
| _Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 6.00 | -2.00 | 0 | 0.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 1 | 1 | 2 | 0 | 33.0 | 12 | 12 | 9 | 0 | 41.0 | 7.0 | 2.00 | 27.0 | 7.00 | 1.00 | 14.29% | 1.00 | 0.00 | 100.00% | 0 | 17 | 42 | 40.48% | 17 | 46 | 36.96% | 10 | 18 | 55.56% | 24.00 | 16.00 | 22.00 | 6.00 | 13.00 | 6.00 | 33.3% | 12.1% | 85.4% | 97.5 | FUN | |
| _Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 6.00 | -2.00 | 0 | 0.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 1 | 1 | 2 | 0 | 33.0 | 12 | 12 | 9 | 0 | 41.0 | 7.0 | 2.00 | 27.0 | 7.00 | 1.00 | 14.29% | 1.00 | 0.00 | 100.00% | 0 | 17 | 42 | 40.48% | 17 | 46 | 36.96% | 10 | 18 | 55.56% | 24.00 | 16.00 | 22.00 | 6.00 | 13.00 | 6.00 | 33.3% | 12.1% | 85.4% | 97.5 | FUN | |
| _Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 6.00 | -2.00 | 0 | 0.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 1 | 1 | 2 | 0 | 33.0 | 12 | 12 | 9 | 0 | 41.0 | 7.0 | 2.00 | 27.0 | 7.00 | 1.00 | 14.29% | 1.00 | 0.00 | 100.00% | 0 | 17 | 42 | 40.48% | 17 | 46 | 36.96% | 10 | 18 | 55.56% | 24.00 | 16.00 | 22.00 | 6.00 | 13.00 | 6.00 | 33.3% | 12.1% | 85.4% | 97.5 | FUN | |
| Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 6.00 | -2.00 | 0 | 0.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 1 | 1 | 2 | 0 | 33.0 | 12 | 12 | 9 | 0 | 41.0 | 7.0 | 2.00 | 27.0 | 7.00 | 1.00 | 14.29% | 1.00 | 0.00 | 100.00% | 0 | 17 | 42 | 40.48% | 17 | 46 | 36.96% | 10 | 18 | 55.56% | 24.00 | 16.00 | 22.00 | 6.00 | 13.00 | 6.00 | 33.3% | 12.1% | 85.4% | 97.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 42 |
| Neutral Zone Start | 18 |
| Defensive Zone Start | 46 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 44 |
| Faceoffs Lost | 62 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.0 | 9.57 |
| 2nd Period | 24.0 | 20.31 |
| 3rd Period | 33.0 | 30.68 |
| Overtime | 33.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 4.0 | 2.67 |
| Overtime | 4.0 | 2.83 |
| Even Strenght Goal | 3 |
|---|---|
| PP Goal | 1 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 7 |
|---|---|
| PP Goal | 1 |
| PK Attempt | 1 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | 33.0 |
| Shots Against | 41.0 |
| Goals For | 4.0 |
| Goals Against | 6.0 |
| Hits | 27.0 |
| Shots Blocked | 7.0 |
| Pim | 2.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | GRG | @ | ZOL | GRG4,ZOL6 | RECAP | |||||||||
| 4 | GRG | @ | SHO | |||||||||||
| 7 | GRG | @ | RAV | |||||||||||
| 11 | BAR | @ | GRG | |||||||||||
| 12 | CHE | @ | GRG | |||||||||||
| 14 | SAI | @ | GRG | |||||||||||
| 15 | ZOL | @ | GRG | |||||||||||
| 18 | GRG | @ | BAR | |||||||||||
| 20 | GRG | @ | DEV | |||||||||||
| 22 | GRG | @ | BKS | |||||||||||
| 26 | GRG | @ | CHE | |||||||||||
| 29 | THI | @ | GRG | |||||||||||
| 31 | VIK | @ | GRG | |||||||||||
| 34 | CHE | @ | GRG | |||||||||||
| 37 | GRG | @ | ASS | |||||||||||
| 38 | GRG | @ | KAN | |||||||||||
| 41 | GRG | @ | OHK | |||||||||||
| 46 | SHO | @ | GRG | |||||||||||
| 48 | ASS | @ | GRG | |||||||||||
| 49 | ZOL | @ | GRG | |||||||||||
| 51 | CAN | @ | GRG | |||||||||||
| 54 | DEV | @ | GRG | |||||||||||
| 56 | CHE | @ | GRG | |||||||||||
| 58 | SHA | @ | GRG | |||||||||||
| 60 | SPA | @ | GRG | |||||||||||
| 62 | SHO | @ | GRG | |||||||||||
| 64 | RAV | @ | GRG | |||||||||||
| 65 | SQU | @ | GRG | |||||||||||
| 67 | GRG | @ | THI | |||||||||||
| 69 | GRG | @ | CHE | |||||||||||
| 72 | GRG | @ | IND | |||||||||||
| 73 | GRG | @ | SPA | |||||||||||
| 75 | VEN | @ | GRG | |||||||||||
| 76 | THI | @ | GRG | |||||||||||
| 78 | EAG | @ | GRG | |||||||||||
| 80 | GRG | @ | SHA | |||||||||||
| 82 | GRG | @ | NIN | |||||||||||
| 84 | GRG | @ | BLA | |||||||||||
| 86 | GRG | @ | SEN | |||||||||||
| 90 | GRG | @ | ZOL | |||||||||||
| 93 | JWO | @ | GRG | |||||||||||
| 95 | SEN | @ | GRG | |||||||||||
| 98 | NIN | @ | GRG | |||||||||||
| 99 | SPA | @ | GRG | |||||||||||
| 101 | BLA | @ | GRG | |||||||||||
| 103 | GRG | @ | SPA | |||||||||||
| 105 | GRG | @ | ZOL | |||||||||||
| 107 | GRG | @ | JWO | |||||||||||
| 111 | GRG | @ | BUL | |||||||||||
| 114 | GRG | @ | SHO | |||||||||||
| 115 | GRG | @ | CAN | |||||||||||
| 117 | GRG | @ | CHE | |||||||||||
| 120 | SHA | @ | GRG | |||||||||||
| 122 | OHK | @ | GRG | |||||||||||
| 125 | GRG | @ | SPA | |||||||||||
| 127 | EAG | @ | GRG | |||||||||||
| 130 | BUL | @ | GRG | |||||||||||
| 132 | IND | @ | GRG | |||||||||||
| 133 | KAN | @ | GRG | |||||||||||
| 136 | GRG | @ | SPA | |||||||||||
| 139 | GRG | @ | SQU | |||||||||||
| 141 | GRG | @ | VIK | |||||||||||
| 145 | GRG | @ | WPK | |||||||||||
| 149 | GRG | @ | EAG | |||||||||||
| Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
| 152 | GRG | @ | SAI | |||||||||||
| 154 | GRG | @ | OHK | |||||||||||
| 159 | SAI | @ | GRG | |||||||||||
| 160 | THI | @ | GRG | |||||||||||
| 162 | WPK | @ | GRG | |||||||||||
| 166 | GRG | @ | PIM | |||||||||||
| 169 | GRG | @ | THI | |||||||||||
| 171 | BKS | @ | GRG | |||||||||||
| 172 | SHA | @ | GRG | |||||||||||
| 174 | VEN | @ | GRG | |||||||||||
| 177 | SHO | @ | GRG | |||||||||||
| 179 | WPK | @ | GRG | |||||||||||
| 182 | PIM | @ | GRG | |||||||||||
| 185 | GRG | @ | SHA | |||||||||||
| 188 | GRG | @ | VIK | |||||||||||
| 191 | GRG | @ | SQU | |||||||||||
| 193 | GRG | @ | WPK | |||||||||||
| 194 | GRG | @ | VEN | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,425,667$ | 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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| 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 |
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,425,667$ | 2,425,667$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 37,509$ | 12,503$ | 37,509$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 191 | 12,503$ | 2,388,073$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,388,073$ | 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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