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Full Scoreboard >> |
![]() | Key West Squirrels 0-1-1, 1pts · 9th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matej Blumel (R) | 0 | LW/RW | 100.00 | 66 | 72 | 88 | 67 | 71 | 58 | 86 | 64 | 77 | 60 | 64 | 53 | 61 | 43 | 43 | 68 | 75 | 68 | 25 | 775,000$/1yrs | |||
Zakhar Bardakov (R) | 0 | C/LW | 100.00 | 67 | 75 | 83 | 66 | 75 | 57 | 77 | 63 | 84 | 59 | 63 | 64 | 60 | 40 | 40 | 67 | 75 | 67 | 24 | 450,000$/1yrs | |||
Georgii Merkulov (R) | 0 | C/LW/RW | 100.00 | 65 | 65 | 90 | 66 | 65 | 57 | 81 | 62 | 64 | 60 | 61 | 52 | 58 | 39 | 39 | 66 | 75 | 66 | 24 | 925,000$/1yrs | |||
Viljami Marjala (R) | 0 | C/LW | 100.00 | 65 | 65 | 92 | 64 | 64 | 57 | 86 | 62 | 61 | 60 | 60 | 45 | 57 | 38 | 38 | 65 | 75 | 65 | 22 | 450,000$/1yrs | |||
Vasili Atanasov (R) | 0 | C/RW | 100.00 | 64 | 61 | 91 | 65 | 61 | 58 | 77 | 61 | 48 | 57 | 61 | 56 | 58 | 40 | 40 | 64 | 75 | 64 | 22 | 450,000$/1yrs | |||
Mikael Pyyhtia (R) | 0 | C/LW | 100.00 | 64 | 46 | 85 | 67 | 65 | 58 | 57 | 59 | 55 | 61 | 61 | 68 | 56 | 58 | 58 | 63 | 75 | 63 | 23 | 897,500$/1yrs | |||
Ivan Ivan (R) | 0 | C | 100.00 | 63 | 47 | 80 | 75 | 70 | 56 | 48 | 59 | 61 | 61 | 61 | 69 | 55 | 57 | 57 | 63 | 75 | 63 | 22 | 500,000$/4yrs | |||
Andre Gasseau (R) | 0 | C/LW | 100.00 | 66 | 77 | 65 | 65 | 78 | 55 | 81 | 55 | 61 | 46 | 57 | 59 | 54 | 34 | 34 | 63 | 75 | 63 | 21 | 575,000$/1yrs | |||
Avery Hayes (R) | 0 | C/RW | 100.00 | 64 | 64 | 79 | 64 | 64 | 57 | 69 | 61 | 55 | 57 | 62 | 58 | 59 | 40 | 40 | 63 | 75 | 63 | 22 | 575,000$/1yrs | |||
Jack Musa (R) | 0 | C/LW/RW | 100.00 | 65 | 63 | 91 | 64 | 63 | 55 | 82 | 56 | 32 | 48 | 58 | 58 | 55 | 35 | 35 | 63 | 75 | 63 | 21 | 575,000$/1yrs | |||
Braeden Bowman (R) | 0 | RW | 100.00 | 66 | 70 | 92 | 63 | 70 | 54 | 87 | 56 | 48 | 48 | 58 | 51 | 55 | 36 | 36 | 63 | 75 | 63 | 22 | 5,500,000$/2yrs | |||
Nikita Grebyonkin (R) | 0 | LW/RW | 100.00 | 66 | 75 | 80 | 63 | 75 | 55 | 76 | 56 | 57 | 47 | 59 | 51 | 55 | 40 | 40 | 62 | 75 | 62 | 22 | 500,000$/1yrs | |||
Max Sasson | 0 | C/LW/RW | 100.00 | 61 | 52 | 82 | 76 | 67 | 59 | 35 | 61 | 70 | 63 | 62 | 65 | 55 | 59 | 58 | 61 | 75 | 61 | 24 | 450,000$/1yrs | |||
Arber Xhekaj (R) | 0 | D | 100.00 | 71 | 76 | 72 | 71 | 90 | 61 | 85 | 54 | 40 | 61 | 57 | 78 | 54 | 59 | 58 | 73 | 75 | 73 | 24 | 1,300,000$/2yrs | |||
Logan Mailloux (R) | 0 | D | 100.00 | 65 | 75 | 69 | 65 | 76 | 58 | 85 | 54 | 25 | 45 | 50 | 61 | 47 | 37 | 37 | 63 | 75 | 63 | 22 | 875,000$/2yrs | |||
Adam Engstrom (R) | 0 | D | 100.00 | 65 | 70 | 81 | 65 | 69 | 56 | 86 | 51 | 25 | 44 | 42 | 67 | 39 | 37 | 37 | 63 | 75 | 63 | 21 | 625,000$/1yrs | |||
Ilya Solovyov (R) | 0 | D | 100.00 | 65 | 75 | 82 | 65 | 76 | 57 | 74 | 51 | 25 | 45 | 42 | 64 | 40 | 39 | 39 | 61 | 75 | 61 | 24 | 775,000$/2yrs | |||
Nikolas Matinpalo (R) | 0 | D | 100.00 | 58 | 46 | 78 | 66 | 79 | 58 | 50 | 56 | 41 | 60 | 57 | 68 | 55 | 60 | 59 | 61 | 75 | 61 | 26 | 450,000$/1yrs | |||
Joona Vaisanen (R) | 0 | D | 100.00 | 65 | 66 | 87 | 64 | 66 | 54 | 83 | 49 | 25 | 42 | 41 | 65 | 39 | 33 | 33 | 61 | 75 | 61 | 20 | 450,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Samuel Poulin (R) | 0 | C/LW/RW | 93.47 | 67 | 77 | 85 | 64 | 78 | 57 | 72 | 60 | 84 | 56 | 62 | 57 | 58 | 42 | 42 | 65 | 75 | 65 | 24 | 775,000$/2yrs | |||
Elmer Soderblom (R) | 0 | LW/RW | 100.00 | 63 | 49 | 78 | 75 | 95 | 62 | 31 | 62 | 55 | 64 | 61 | 65 | 55 | 58 | 57 | 62 | 75 | 62 | 23 | 878,333$/1yrs | |||
Jeremy Wilmer (R) | 0 | LW | 100.00 | 65 | 61 | 91 | 63 | 61 | 55 | 81 | 55 | 27 | 48 | 58 | 42 | 55 | 34 | 34 | 61 | 75 | 61 | 21 | 450,000$/1yrs | |||
Ryan Conmy (R) | 0 | RW | 100.00 | 65 | 65 | 92 | 63 | 65 | 54 | 77 | 56 | 36 | 48 | 58 | 46 | 55 | 32 | 32 | 61 | 75 | 61 | 20 | 475,000$/1yrs | |||
Borya Valis (R) | 0 | C/RW | 100.00 | 65 | 71 | 82 | 64 | 70 | 54 | 74 | 53 | 45 | 47 | 54 | 57 | 50 | 37 | 37 | 60 | 75 | 60 | 21 | 450,000$/1yrs | |||
Felix Unger Sorum (R) | 0 | RW | 100.00 | 65 | 64 | 91 | 63 | 64 | 55 | 76 | 51 | 32 | 47 | 48 | 50 | 46 | 33 | 33 | 59 | 75 | 59 | 19 | 625,000$/1yrs | |||
Marcel Marcel (R) | 0 | LW/RW | 100.00 | 67 | 80 | 68 | 65 | 80 | 54 | 61 | 50 | 64 | 45 | 48 | 59 | 46 | 34 | 34 | 58 | 75 | 58 | 21 | 550,000$/1yrs | |||
Artyom Duda (R) | 0 | D | 100.00 | 65 | 67 | 89 | 65 | 67 | 56 | 63 | 51 | 25 | 44 | 42 | 67 | 40 | 36 | 36 | 60 | 75 | 60 | 21 | 725,000$/1yrs | |||
Kasper Puutio (R) | 0 | D | 100.00 | 65 | 66 | 84 | 65 | 65 | 56 | 78 | 53 | 25 | 44 | 47 | 50 | 45 | 38 | 38 | 59 | 75 | 59 | 23 | 450,000$/1yrs | |||
Ben Robertson (R) | 0 | D | 100.00 | 65 | 68 | 87 | 64 | 69 | 54 | 79 | 47 | 25 | 37 | 40 | 61 | 38 | 34 | 34 | 59 | 75 | 59 | 20 | 450,000$/1yrs | |||
Vincent Borgesi (R) | 0 | D | 100.00 | 65 | 62 | 83 | 64 | 62 | 55 | 76 | 50 | 25 | 43 | 42 | 52 | 40 | 34 | 34 | 58 | 75 | 58 | 21 | 450,000$/1yrs | |||
Tanner Molendyk (R) | 0 | D | 100.00 | 65 | 66 | 85 | 65 | 66 | 55 | 66 | 49 | 25 | 39 | 41 | 59 | 39 | 40 | 40 | 57 | 75 | 57 | 20 | 875,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nikita Tolopilo | 0 | 99.00 | 56 | 54 | 65 | 74 | 56 | 63 | 56 | 56 | 56 | 56 | 49 | 37 | 37 | 53 | 75 | 53 | 25 | 950,000$/1yrs |
Stanislav Berezhnoy | 0 | 100.00 | 52 | 44 | 61 | 69 | 52 | 59 | 52 | 52 | 52 | 52 | 45 | 39 | 39 | 50 | 75 | 50 | 22 | 450,000$/1yrs |
| Scratches | ||||||||||||||||||||
Matt Villalta | 0 | 100.00 | 50 | 57 | 68 | 69 | 50 | 57 | 50 | 50 | 50 | 50 | 43 | 47 | 47 | 50 | 75 | 50 | 26 | 775,000$/2yrs |
Isak Posch | 0 | 100.00 | 42 | 49 | 59 | 68 | 42 | 49 | 42 | 42 | 42 | 42 | 35 | 32 | 32 | 45 | 75 | 45 | 23 | 450,000$/1yrs |
Ruslan Khazheyev | 0 | 100.00 | 37 | 47 | 58 | 69 | 37 | 44 | 37 | 37 | 37 | 37 | 30 | 35 | 35 | 43 | 75 | 43 | 20 | 450,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| General Manager |
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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 |
| # | 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 | Matej Blumel | Squirrels (BIS) | LW/RW | 2 | 1 | 1 | 2 | -2 | 0 | 0 | 1 | 8 | 0 | 5 | 12.50% | 0 | 20.61 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 38.10% | 21 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | |
| 2 | Elmer Soderblom | Squirrels (BIS) | LW/RW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 3 | 1 | 0.00% | 0 | 10.66 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | |
| 3 | Logan Mailloux | Squirrels (BIS) | D | 2 | 0 | 1 | 1 | -3 | 0 | 0 | 3 | 5 | 3 | 0 | 0.00% | 2 | 20.22 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 4 | Viljami Marjala | Squirrels (BIS) | C/LW | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 4 | 5 | 0 | 1 | 0.00% | 0 | 19.78 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 5 | Ilya Solovyov | Squirrels (BIS) | D | 2 | 0 | 1 | 1 | 2 | 2 | 0 | 4 | 1 | 1 | 1 | 0.00% | 2 | 17.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 6 | Ivan Ivan | Squirrels (BIS) | C | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 3 | 5 | 2 | 1 | 20.00% | 0 | 11.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.55% | 22 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | |
| 7 | Vasili Atanasov | Squirrels (BIS) | C/RW | 2 | 1 | 0 | 1 | -1 | 2 | 0 | 5 | 6 | 1 | 1 | 16.67% | 1 | 20.07 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 8 | Zakhar Bardakov | Squirrels (BIS) | C/LW | 2 | 1 | 0 | 1 | -2 | 4 | 0 | 5 | 4 | 2 | 3 | 25.00% | 0 | 19.41 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 51.92% | 52 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 9 | Joona Vaisanen | Squirrels (BIS) | D | 2 | 0 | 1 | 1 | -3 | 0 | 0 | 1 | 4 | 1 | 3 | 0.00% | 4 | 19.73 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 10 | Samuel Poulin | Squirrels (BIS) | C/LW/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 2 | 1 | 3 | 0.00% | 0 | 16.18 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 61.36% | 44 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 11 | Mikael Pyyhtia | Squirrels (BIS) | C/LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 2 | 1 | 0.00% | 0 | 9.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 12 | Arber Xhekaj | Squirrels (BIS) | D | 2 | 0 | 0 | 0 | -7 | 0 | 0 | 3 | 6 | 2 | 2 | 0.00% | 6 | 22.63 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 13 | Georgii Merkulov | Squirrels (BIS) | C/LW/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.00% | 0 | 18.44 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 14 | Adam Engstrom | Squirrels (BIS) | D | 2 | 0 | 0 | 0 | -6 | 2 | 0 | 2 | 2 | 0 | 1 | 0.00% | 3 | 22.26 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 15 | Andre Gasseau | Squirrels (BIS) | C/LW | 2 | 0 | 0 | 0 | -5 | 2 | 0 | 2 | 1 | 3 | 4 | 0.00% | 0 | 9.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 16 | Avery Hayes | Squirrels (BIS) | C/RW | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 3 | 0 | 0 | 0.00% | 0 | 18.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 17 | Jack Musa | Squirrels (BIS) | C/LW/RW | 2 | 0 | 0 | 0 | -5 | 0 | 0 | 0 | 5 | 2 | 1 | 0.00% | 0 | 10.48 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 45.45% | 22 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 18 | Braeden Bowman | Squirrels (BIS) | RW | 2 | 0 | 0 | 0 | -5 | 0 | 0 | 0 | 1 | 1 | 1 | 0.00% | 0 | 11.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 36 | 4 | 6 | 10 | -38 | 12 | 0 | 52 | 69 | 24 | 32 | 5.80% | 18 | 16.54 | 2 | 3 | 5 | 116 | 0 | 0 | 0 | 26 | 0 | 0 | 48.91% | 184 | 0 | 0 | 0 | 0 | 0.34 | 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 | Nikita Tolopilo | Squirrels (BIS) | 2 | 0 | 1 | 1 | 0.813 | 5.63 | 96 | 0 | 0 | 9 | 48 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
| 2 | Stanislav Berezhnoy | Squirrels (BIS) | 1 | 0 | 0 | 0 | 0.750 | 13.04 | 23 | 0 | 0 | 5 | 20 | 0 | 0 | 0 | 0.000 | 0 | 0 | 2 | 0 | 0 | 0 |
| Team Total or Average | 3 | 0 | 1 | 1 | 0.794 | 7.00 | 120 | 0 | 0 | 14 | 68 | 0 | 0 | 0 | 0.000 | 0 | 2 | 2 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Engstrom | D | 21 | 625,000$ | 625,000$ | |||||||
| Andre Gasseau | C/LW | 21 | 575,000$ | 575,000$ | |||||||
| Arber Xhekaj | D | 24 | 1,300,000$ | 1,300,000$ | 1,300,000$ | RFA | |||||
| Artyom Duda | D | 21 | 725,000$ | 725,000$ | |||||||
| Avery Hayes | C/RW | 22 | 575,000$ | 575,000$ | |||||||
| Ben Robertson | D | 20 | 450,000$ | 450,000$ | |||||||
| Borya Valis | C/RW | 21 | 450,000$ | 450,000$ | |||||||
| Braeden Bowman | RW | 22 | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||||
| Elmer Soderblom | LW/RW | 23 | 878,333$ | 878,333$ | RFA | ||||||
| Felix Unger Sorum | RW | 19 | 625,000$ | 625,000$ | |||||||
| Georgii Merkulov | C/LW/RW | 24 | 925,000$ | 925,000$ | RFA | ||||||
| Ilya Solovyov | D | 24 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
| Isak Posch | G | 23 | 450,000$ | 450,000$ | |||||||
| Ivan Ivan | C | 22 | 500,000$ | 500,000$ | 500,000$ | 500,000$ | 500,000$ | ||||
| Jack Musa | C/LW/RW | 21 | 575,000$ | 575,000$ | |||||||
| Jeremy Wilmer | LW | 21 | 450,000$ | 450,000$ | |||||||
| Joona Vaisanen | D | 20 | 450,000$ | 450,000$ | |||||||
| Kasper Puutio | D | 23 | 450,000$ | 450,000$ | |||||||
| Logan Mailloux | D | 22 | 875,000$ | 875,000$ | 875,000$ | ||||||
| Marcel Marcel | LW/RW | 21 | 550,000$ | 550,000$ | |||||||
| Matej Blumel | LW/RW | 25 | 775,000$ | 775,000$ | RFA | ||||||
| Matt Villalta | G | 26 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
| Max Sasson | C/LW/RW | 24 | 450,000$ | 450,000$ | RFA | ||||||
| Mikael Pyyhtia | C/LW | 23 | 897,500$ | 897,500$ | RFA | ||||||
| Nikita Grebyonkin | LW/RW | 22 | 500,000$ | 500,000$ | |||||||
| Nikita Tolopilo | G | 25 | 950,000$ | 950,000$ | RFA | ||||||
| Nikolas Matinpalo | D | 26 | 450,000$ | 450,000$ | RFA | ||||||
| Ruslan Khazheyev | G | 20 | 450,000$ | 450,000$ | |||||||
| Ryan Conmy | RW | 20 | 475,000$ | 475,000$ | |||||||
| Samuel Poulin | C/LW/RW | 24 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
| Stanislav Berezhnoy | G | 22 | 450,000$ | 450,000$ | |||||||
| Tanner Molendyk | D | 20 | 875,000$ | 875,000$ | |||||||
| Vasili Atanasov | C/RW | 22 | 450,000$ | 450,000$ | |||||||
| Viljami Marjala | C/LW | 22 | 450,000$ | 450,000$ | |||||||
| Vincent Borgesi | D | 21 | 450,000$ | 450,000$ | |||||||
| Zakhar Bardakov | C/LW | 24 | 450,000$ | 450,000$ | 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 | HK | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3.00 | 4.00 | -1.00 | 1 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 4 | 0 | 0 | 0 | 40.0 | 29 | 15 | 22 | 3 | 20.0 | 6.0 | 2.00 | 26.0 | 7.00 | 1.00 | 14.29% | 1.00 | 0.00 | 100.00% | 0 | 31 | 71 | 43.66% | 36 | 72 | 50.00% | 23 | 37 | 62.16% | 44.00 | 29.00 | 50.00 | 15.00 | 26.00 | 12.00 | 33.3% | 7.5% | 80.0% | 87.5 | Unlucky |
| 2 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 10.00 | -9.00 | 0 | 0.000 | 1.0 | 1.0 | 2.0 | 0 | 0 | 4 | 0 | 0 | 0 | 29.0 | 29 | 15 | 22 | 3 | 48.0 | 12.0 | 10.00 | 26.0 | 5.00 | 1.00 | 20.00% | 5.00 | 4.00 | 20.00% | 0 | 31 | 71 | 43.66% | 36 | 72 | 50.00% | 23 | 37 | 62.16% | 44.00 | 29.00 | 50.00 | 15.00 | 26.00 | 12.00 | 0.0% | 3.4% | 79.2% | 82.6 | Unlucky |
| _Vs Division | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.00 | 7.00 | -5.00 | 1 | 0.250 | 2.0 | 3.0 | 5.0 | 0 | 0 | 4 | 0 | 0 | 0 | 34.5 | 29 | 15 | 22 | 3 | 34.0 | 9.0 | 6.00 | 26.0 | 6.00 | 1.00 | 16.67% | 3.00 | 2.00 | 33.33% | 0 | 31 | 71 | 43.66% | 36 | 72 | 50.00% | 23 | 37 | 62.16% | 22.00 | 14.50 | 25.00 | 7.50 | 13.00 | 6.00 | 16.7% | 5.8% | 79.4% | 85.2 | Unlucky | |
| _Vs Conference | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.00 | 7.00 | -5.00 | 1 | 0.250 | 2.0 | 3.0 | 5.0 | 0 | 0 | 4 | 0 | 0 | 0 | 34.5 | 29 | 15 | 22 | 3 | 34.0 | 9.0 | 6.00 | 26.0 | 6.00 | 1.00 | 16.67% | 3.00 | 2.00 | 33.33% | 0 | 31 | 71 | 43.66% | 36 | 72 | 50.00% | 23 | 37 | 62.16% | 22.00 | 14.50 | 25.00 | 7.50 | 13.00 | 6.00 | 16.7% | 5.8% | 79.4% | 85.2 | Unlucky | |
| _Since Last GM Reset | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.00 | 7.00 | -5.00 | 1 | 0.250 | 2.0 | 3.0 | 5.0 | 0 | 0 | 4 | 0 | 0 | 0 | 34.5 | 29 | 15 | 22 | 3 | 34.0 | 9.0 | 6.00 | 26.0 | 6.00 | 1.00 | 16.67% | 3.00 | 2.00 | 33.33% | 0 | 31 | 71 | 43.66% | 36 | 72 | 50.00% | 23 | 37 | 62.16% | 22.00 | 14.50 | 25.00 | 7.50 | 13.00 | 6.00 | 16.7% | 5.8% | 79.4% | 85.2 | Unlucky | |
| Total | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.00 | 7.00 | -5.00 | 1 | 0.250 | 2.0 | 3.0 | 5.0 | 0 | 0 | 4 | 0 | 0 | 0 | 34.5 | 29 | 15 | 22 | 3 | 34.0 | 9.0 | 6.00 | 26.0 | 6.00 | 1.00 | 16.67% | 3.00 | 2.00 | 33.33% | 0 | 31 | 71 | 43.66% | 36 | 72 | 50.00% | 23 | 37 | 62.16% | 22.00 | 14.50 | 25.00 | 7.50 | 13.00 | 6.00 | 16.7% | 5.8% | 79.4% | 85.2 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 71 |
| Neutral Zone Start | 37 |
| Defensive Zone Start | 72 |
| Puck Time | |
|---|---|
| With Puck | 28 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 90 |
| Faceoffs Lost | 90 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 14.5 | 9.57 |
| 2nd Period | 22.0 | 20.31 |
| 3rd Period | 33.0 | 30.68 |
| Overtime | 34.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 2.0 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 2.0 | 2.67 |
| Overtime | 2.0 | 2.83 |
| Even Strenght Goal | 2 |
|---|---|
| PP Goal | 2 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 1 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 12 |
|---|---|
| PP Goal | 2 |
| PK Attempt | 6 |
| PK Goal Against | 4 |
| Home | |
|---|---|
| Shots For | 34.5 |
| Shots Against | 34.0 |
| Goals For | 2.0 |
| Goals Against | 7.0 |
| Hits | 26.0 |
| Shots Blocked | 9.0 |
| Pim | 6.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | OHK | @ | SQU | OHK4,SQU3 (OT) | RECAP | |||||||||
| 3 | SQU | @ | WPK | SQU1,WPK10 | RECAP | |||||||||
| 12 | VIK | @ | SQU | |||||||||||
| 14 | SHA | @ | SQU | |||||||||||
| 17 | ASS | @ | SQU | |||||||||||
| 19 | CAN | @ | SQU | |||||||||||
| 21 | NIN | @ | SQU | |||||||||||
| 24 | JWO | @ | SQU | |||||||||||
| 27 | SQU | @ | SPA | |||||||||||
| 29 | SQU | @ | SHA | |||||||||||
| 32 | VEN | @ | SQU | |||||||||||
| 34 | SQU | @ | SAI | |||||||||||
| 37 | SQU | @ | VEN | |||||||||||
| 39 | SEN | @ | SQU | |||||||||||
| 41 | VEN | @ | SQU | |||||||||||
| 43 | BKS | @ | SQU | |||||||||||
| 44 | SQU | @ | EAG | |||||||||||
| 46 | RAV | @ | SQU | |||||||||||
| 49 | WPK | @ | SQU | |||||||||||
| 50 | BAR | @ | SQU | |||||||||||
| 52 | SQU | @ | EAG | |||||||||||
| 53 | THI | @ | SQU | |||||||||||
| 56 | SQU | @ | BUL | |||||||||||
| 58 | SQU | @ | ASS | |||||||||||
| 62 | SQU | @ | ZOL | |||||||||||
| 65 | SQU | @ | GRG | |||||||||||
| 68 | SQU | @ | BAR | |||||||||||
| 71 | VIK | @ | SQU | |||||||||||
| 74 | SQU | @ | SHA | |||||||||||
| 75 | SQU | @ | SEN | |||||||||||
| 78 | SQU | @ | CHE | |||||||||||
| 80 | SQU | @ | SHO | |||||||||||
| 82 | SQU | @ | BLA | |||||||||||
| 84 | SQU | @ | NIN | |||||||||||
| 87 | SAI | @ | SQU | |||||||||||
| 89 | SHO | @ | SQU | |||||||||||
| 90 | IND | @ | SQU | |||||||||||
| 92 | BUL | @ | SQU | |||||||||||
| 93 | VEN | @ | SQU | |||||||||||
| 96 | SQU | @ | VEN | |||||||||||
| 99 | SQU | @ | THI | |||||||||||
| 104 | SQU | @ | CAN | |||||||||||
| 107 | SQU | @ | IND | |||||||||||
| 109 | SQU | @ | SHO | |||||||||||
| 112 | SQU | @ | CHE | |||||||||||
| 115 | WPK | @ | SQU | |||||||||||
| 117 | SQU | @ | WPK | |||||||||||
| 120 | DEV | @ | SQU | |||||||||||
| 121 | SQU | @ | VIK | |||||||||||
| 125 | SQU | @ | RAV | |||||||||||
| 127 | SQU | @ | BKS | |||||||||||
| 130 | EAG | @ | SQU | |||||||||||
| 132 | SQU | @ | OHK | |||||||||||
| 135 | WPK | @ | SQU | |||||||||||
| 136 | BLA | @ | SQU | |||||||||||
| 138 | OHK | @ | SQU | |||||||||||
| 139 | GRG | @ | SQU | |||||||||||
| 142 | SQU | @ | SPA | |||||||||||
| 145 | SQU | @ | PIM | |||||||||||
| 147 | SQU | @ | ASS | |||||||||||
| 150 | SQU | @ | JWO | |||||||||||
| Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
| 153 | SQU | @ | ZOL | |||||||||||
| 155 | SQU | @ | KAN | |||||||||||
| 158 | SQU | @ | DEV | |||||||||||
| 161 | OHK | @ | SQU | |||||||||||
| 162 | EAG | @ | SQU | |||||||||||
| 164 | KAN | @ | SQU | |||||||||||
| 166 | VIK | @ | SQU | |||||||||||
| 168 | SQU | @ | VEN | |||||||||||
| 169 | EAG | @ | SQU | |||||||||||
| 172 | PIM | @ | SQU | |||||||||||
| 175 | SQU | @ | VIK | |||||||||||
| 178 | SQU | @ | SAI | |||||||||||
| 179 | VIK | @ | SQU | |||||||||||
| 182 | SQU | @ | SAI | |||||||||||
| 184 | THI | @ | SQU | |||||||||||
| 185 | SAI | @ | SQU | |||||||||||
| 187 | SPA | @ | SQU | |||||||||||
| 189 | CHE | @ | SQU | |||||||||||
| 191 | GRG | @ | SQU | |||||||||||
| 193 | ZOL | @ | SQU | |||||||||||
| 194 | SQU | @ | OHK | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,137,583$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Key West | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 1567 | 860 | |||
| Attendance PCT | 78.35% | 86.00% | 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 |
| 40 | 2427 - 80.90% | 67,745$ | 67,745$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,137,583$ | 2,137,583$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 33,054$ | 11,018$ | 33,054$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 2,709,800$ | 191 | 11,018$ | 2,104,438$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,104,438$ | 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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