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Full Scoreboard >> |
![]() | Key West Squirrels 26-25-8, 60pts · 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$/1yrs | |||
Samuel Poulin (R) | 0 | C/LW/RW | 100.00 | 67 | 77 | 85 | 64 | 78 | 57 | 75 | 60 | 84 | 56 | 62 | 57 | 58 | 42 | 42 | 65 | 75 | 65 | 24 | 775,000$/2yrs | |||
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$/1yrs | |||
Mikael Pyyhtia (R) (A) | 0 | C/LW | 100.00 | 64 | 46 | 85 | 67 | 65 | 58 | 82 | 59 | 55 | 61 | 61 | 68 | 56 | 58 | 58 | 63 | 75 | 63 | 23 | 897,500$/1yrs | |||
Ivan Ivan (R) | 0 | C | 100.00 | 63 | 47 | 80 | 75 | 70 | 56 | 84 | 59 | 61 | 61 | 61 | 69 | 55 | 57 | 57 | 63 | 75 | 63 | 22 | 500,000$/4yrs | |||
Avery Hayes (R) | 0 | C/RW | 100.00 | 64 | 64 | 79 | 64 | 64 | 57 | 71 | 61 | 55 | 57 | 62 | 58 | 59 | 40 | 40 | 63 | 75 | 63 | 22 | 575,000$/1yrs | |||
Elmer Soderblom (R) | 0 | LW/RW | 100.00 | 63 | 49 | 78 | 75 | 95 | 62 | 72 | 62 | 55 | 64 | 61 | 65 | 55 | 58 | 57 | 62 | 75 | 62 | 23 | 878,333$/1yrs | |||
Nikita Grebyonkin (R) (C) | 0 | LW/RW | 100.00 | 66 | 75 | 80 | 63 | 75 | 55 | 76 | 56 | 57 | 47 | 59 | 51 | 55 | 40 | 40 | 62 | 75 | 62 | 22 | 500,000$/1yrs | |||
Max Sasson | 0 | C/LW/RW | 100.00 | 61 | 52 | 82 | 76 | 67 | 59 | 78 | 61 | 70 | 63 | 62 | 65 | 55 | 59 | 58 | 61 | 75 | 61 | 24 | 450,000$/1yrs | |||
Maxim Groshev (R) | 0 | LW/RW | 100.00 | 66 | 71 | 88 | 63 | 72 | 53 | 81 | 50 | 45 | 45 | 50 | 52 | 47 | 40 | 40 | 60 | 75 | 60 | 23 | 450,000$/1yrs | |||
Jan Rutta | 0 | D | 100.00 | 64 | 40 | 80 | 66 | 78 | 67 | 65 | 57 | 40 | 63 | 59 | 82 | 54 | 66 | 59 | 70 | 75 | 70 | 34 | 1,400,000$/1yrs | |||
Logan Mailloux (R) | 0 | D | 100.00 | 65 | 75 | 69 | 65 | 76 | 58 | 85 | 54 | 25 | 45 | 50 | 61 | 47 | 37 | 37 | 63 | 75 | 63 | 22 | 875,000$/2yrs | |||
Ilya Solovyov (R) | 0 | D | 100.00 | 65 | 75 | 82 | 65 | 76 | 57 | 75 | 51 | 25 | 45 | 42 | 64 | 40 | 39 | 39 | 61 | 75 | 61 | 24 | 775,000$/2yrs | |||
Nikolas Matinpalo (R) (A) | 0 | D | 100.00 | 58 | 46 | 78 | 66 | 79 | 58 | 71 | 56 | 41 | 60 | 57 | 68 | 55 | 60 | 59 | 61 | 75 | 61 | 26 | 450,000$/1yrs | |||
Artyom Duda (R) | 0 | D | 100.00 | 65 | 67 | 89 | 65 | 67 | 56 | 83 | 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 | |||
| Scratches | ||||||||||||||||||||||||||
Vitali Pinchuk (R) | 0 | C | 88.20 | 67 | 73 | 88 | 66 | 73 | 56 | 82 | 63 | 85 | 58 | 63 | 59 | 60 | 36 | 36 | 67 | 75 | 67 | 23 | 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 | |||
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$/1yrs | |||
Jack Musa (R) | 0 | C/LW/RW | 100.00 | 65 | 63 | 91 | 64 | 63 | 55 | 82 | 56 | 32 | 48 | 58 | 58 | 55 | 35 | 35 | 63 | 75 | 63 | 21 | 575,000$/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$/2yrs | |||
Jeremy Wilmer (R) | 0 | LW | 100.00 | 65 | 61 | 91 | 63 | 61 | 55 | 81 | 55 | 27 | 48 | 58 | 42 | 55 | 34 | 34 | 61 | 75 | 61 | 21 | 450,000$/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$/1yrs | |||
Borya Valis (R) | 0 | C/RW | 100.00 | 65 | 71 | 82 | 64 | 70 | 54 | 85 | 53 | 45 | 47 | 54 | 57 | 50 | 37 | 37 | 60 | 75 | 60 | 21 | 450,000$/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 | |||
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$/2yrs | |||
Adam Engstrom (R) | 0 | D | 100.00 | 65 | 70 | 81 | 65 | 69 | 56 | 86 | 51 | 25 | 44 | 42 | 67 | 39 | 37 | 37 | 63 | 75 | 63 | 21 | 625,000$/1yrs | |||
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$/1yrs | |||
Ben Robertson (R) | 0 | D | 100.00 | 65 | 68 | 87 | 64 | 69 | 54 | 79 | 47 | 25 | 37 | 40 | 61 | 38 | 34 | 34 | 59 | 75 | 59 | 20 | 450,000$/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 | 100.00 | 56 | 76 | 65 | 74 | 56 | 63 | 56 | 56 | 56 | 56 | 49 | 37 | 37 | 53 | 75 | 53 | 25 | 950,000$/1yrs |
Matt Villalta | 0 | 100.00 | 50 | 81 | 68 | 69 | 50 | 57 | 50 | 50 | 50 | 50 | 43 | 47 | 47 | 50 | 75 | 50 | 26 | 775,000$/2yrs |
| Scratches | ||||||||||||||||||||
Stanislav Berezhnoy | 0 | 100.00 | 52 | 66 | 61 | 69 | 52 | 59 | 52 | 52 | 52 | 52 | 45 | 39 | 39 | 50 | 75 | 50 | 22 | 450,000$/1yrs |
Isak Posch | 0 | 100.00 | 42 | 62 | 59 | 68 | 42 | 49 | 42 | 42 | 42 | 42 | 35 | 32 | 32 | 45 | 75 | 45 | 23 | 450,000$/1yrs |
Ruslan Khazheyev | 0 | 100.00 | 37 | 60 | 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 |
|---|
| 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 | Mikael Pyyhtia | Squirrels (BIS) | C/LW | 59 | 33 | 37 | 70 | 3 | 16 | 0 | 64 | 217 | 48 | 148 | 15.21% | 7 | 16.11 | 12 | 17 | 29 | 0 | 0 | 0 | 77 | 3 | 1 | 53.85% | 104 | 0 | 0 | 0 | 0 | 1.47 | 1 | 2 | |
| 2 | Georgii Merkulov | Squirrels (BIS) | C/LW/RW | 59 | 18 | 27 | 45 | 4 | 16 | 0 | 64 | 138 | 30 | 83 | 13.04% | 3 | 15.15 | 6 | 6 | 12 | 0 | 1 | 1 | 41 | 2 | 0 | 50.30% | 501 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | |
| 3 | Matej Blumel | Squirrels (BIS) | LW/RW | 59 | 18 | 27 | 45 | -7 | 18 | 0 | 66 | 187 | 42 | 141 | 9.63% | 5 | 17.65 | 5 | 4 | 9 | 0 | 0 | 0 | 79 | 2 | 1 | 58.14% | 1056 | 0 | 0 | 0 | 0 | 0.86 | 0 | 3 | |
| 4 | Samuel Poulin | Squirrels (BIS) | C/LW/RW | 59 | 14 | 30 | 44 | 6 | 22 | 0 | 87 | 128 | 34 | 97 | 10.94% | 8 | 16.25 | 2 | 13 | 15 | 0 | 0 | 0 | 66 | 2 | 2 | 57.97% | 973 | 0 | 0 | 0 | 0 | 0.92 | 0 | 1 | |
| 5 | Elmer Soderblom | Squirrels (BIS) | LW/RW | 46 | 20 | 23 | 43 | 11 | 14 | 0 | 50 | 164 | 53 | 127 | 12.20% | 12 | 14.34 | 2 | 4 | 6 | 0 | 1 | 1 | 32 | 1 | 1 | 37.84% | 37 | 0 | 0 | 1 | 1 | 1.30 | 0 | 0 | |
| 6 | Logan Mailloux | Squirrels (BIS) | D | 59 | 11 | 27 | 38 | 11 | 36 | 0 | 113 | 87 | 28 | 57 | 12.64% | 82 | 20.44 | 3 | 7 | 10 | 0 | 0 | 0 | 109 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 7 | Zakhar Bardakov | Squirrels (BIS) | C/LW | 39 | 12 | 26 | 38 | 6 | 20 | 0 | 54 | 104 | 43 | 97 | 11.54% | 6 | 16.69 | 3 | 9 | 12 | 0 | 0 | 0 | 80 | 4 | 0 | 62.80% | 949 | 0 | 0 | 0 | 0 | 1.17 | 0 | 2 | |
| 8 | Ilya Solovyov | Squirrels (BIS) | D | 58 | 7 | 25 | 32 | 10 | 26 | 0 | 98 | 52 | 20 | 55 | 13.46% | 65 | 20.12 | 1 | 7 | 8 | 0 | 1 | 1 | 107 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 9 | Avery Hayes | Squirrels (BIS) | C/RW | 59 | 18 | 14 | 32 | 5 | 20 | 0 | 79 | 154 | 30 | 96 | 11.69% | 9 | 14.80 | 0 | 0 | 0 | 1 | 0 | 1 | 66 | 2 | 0 | 52.86% | 140 | 0 | 0 | 0 | 0 | 0.73 | 1 | 1 | |
| 10 | Ivan Ivan | Squirrels (BIS) | C | 59 | 12 | 17 | 29 | 8 | 14 | 0 | 43 | 143 | 36 | 99 | 8.39% | 14 | 11.63 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 53.92% | 434 | 0 | 0 | 0 | 1 | 0.85 | 0 | 0 | |
| 11 | Viljami Marjala | Squirrels (BIS) | C/LW | 59 | 13 | 15 | 28 | -13 | 6 | 0 | 71 | 135 | 35 | 80 | 9.63% | 11 | 18.34 | 2 | 3 | 5 | 0 | 0 | 0 | 111 | 2 | 0 | 45.81% | 227 | 0 | 0 | 0 | 0 | 0.52 | 0 | 1 | |
| 12 | Nikolas Matinpalo | Squirrels (BIS) | D | 50 | 4 | 23 | 27 | -14 | 14 | 0 | 49 | 50 | 21 | 36 | 8.00% | 55 | 18.44 | 1 | 0 | 1 | 1 | 0 | 1 | 76 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 13 | Max Sasson | Squirrels (BIS) | C/LW/RW | 39 | 12 | 14 | 26 | 0 | 8 | 0 | 33 | 126 | 36 | 86 | 9.52% | 4 | 13.47 | 2 | 1 | 3 | 0 | 0 | 0 | 37 | 1 | 1 | 59.41% | 170 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | |
| 14 | Arber Xhekaj | Squirrels (BIS) | D | 36 | 6 | 18 | 24 | -6 | 48 | 10 | 84 | 71 | 20 | 38 | 8.45% | 54 | 19.92 | 0 | 3 | 3 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
| 15 | Adam Engstrom | Squirrels (BIS) | D | 43 | 9 | 12 | 21 | -28 | 26 | 0 | 62 | 48 | 12 | 36 | 18.75% | 73 | 21.59 | 6 | 2 | 8 | 0 | 0 | 0 | 105 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 16 | Nikita Grebyonkin | Squirrels (BIS) | LW/RW | 56 | 8 | 9 | 17 | -5 | 16 | 0 | 62 | 78 | 16 | 77 | 10.26% | 6 | 13.49 | 0 | 0 | 0 | 0 | 1 | 1 | 30 | 1 | 1 | 58.97% | 78 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 17 | Artyom Duda | Squirrels (BIS) | D | 33 | 0 | 17 | 17 | 6 | 20 | 0 | 64 | 30 | 10 | 12 | 0.00% | 45 | 19.22 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 18 | Vasili Atanasov | Squirrels (BIS) | C/RW | 40 | 9 | 7 | 16 | -12 | 18 | 0 | 37 | 79 | 29 | 49 | 11.39% | 6 | 13.04 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 41.30% | 46 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 19 | Joona Vaisanen | Squirrels (BIS) | D | 30 | 1 | 14 | 15 | 8 | 18 | 0 | 25 | 28 | 7 | 12 | 3.57% | 40 | 16.71 | 0 | 2 | 2 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 20 | Jan Rutta | Squirrels (BIS) | D | 13 | 5 | 9 | 14 | -6 | 4 | 0 | 25 | 33 | 14 | 20 | 15.15% | 17 | 20.68 | 3 | 3 | 6 | 0 | 0 | 0 | 4 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.04 | 0 | 0 | |
| 21 | Kasper Puutio | Squirrels (BIS) | D | 28 | 1 | 8 | 9 | 15 | 12 | 0 | 40 | 14 | 8 | 11 | 7.14% | 25 | 18.16 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 22 | Braeden Bowman | Squirrels (BIS) | RW | 29 | 3 | 4 | 7 | -3 | 2 | 0 | 12 | 41 | 9 | 27 | 7.32% | 3 | 11.38 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 38.24% | 34 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 23 | Andre Gasseau | Squirrels (BIS) | C/LW | 12 | 1 | 5 | 6 | -11 | 12 | 0 | 21 | 21 | 16 | 26 | 4.76% | 2 | 13.35 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 122 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | |
| 24 | Vitali Pinchuk | Squirrels (BIS) | C | 10 | 2 | 4 | 6 | -1 | 4 | 0 | 3 | 27 | 5 | 25 | 7.41% | 1 | 15.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.56% | 180 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
| 25 | Maxim Groshev | Squirrels (BIS) | LW/RW | 16 | 1 | 4 | 5 | 0 | 4 | 0 | 20 | 9 | 2 | 3 | 11.11% | 2 | 14.75 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 44.60% | 287 | 0 | 0 | 0 | 0 | 0.42 | 0 | 1 | |
| 26 | Jack Musa | Squirrels (BIS) | C/LW/RW | 12 | 1 | 2 | 3 | -5 | 0 | 0 | 11 | 21 | 7 | 7 | 4.76% | 1 | 10.65 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 35.56% | 45 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| Team Total or Average | 1062 | 239 | 418 | 657 | -18 | 414 | 10 | 1337 | 2185 | 611 | 1545 | 10.94% | 556 | 16.44 | 52 | 87 | 139 | 1465 | 2 | 4 | 6 | 1242 | 25 | 10 | 55.75% | 5383 | 0 | 0 | 1 | 2 | 0.75 | 2 | 11 |
| 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) | 44 | 19 | 15 | 6 | 0.879 | 3.94 | 2343 | 0 | 2 | 154 | 1272 | 0 | 3 | 0 | 0.778 | 9 | 42 | 13 | 2 | 0 | 0 |
| 2 | Stanislav Berezhnoy | Squirrels (BIS) | 15 | 5 | 6 | 2 | 0.867 | 4.52 | 757 | 2 | 0 | 57 | 429 | 0 | 2 | 0 | 0.333 | 3 | 12 | 10 | 0 | 1 | 0 |
| 3 | Matt Villalta | Squirrels (BIS) | 12 | 2 | 4 | 0 | 0.856 | 4.88 | 467 | 0 | 0 | 38 | 264 | 0 | 0 | 0 | 0.000 | 0 | 5 | 36 | 0 | 0 | 0 |
| Team Total or Average | 71 | 26 | 25 | 8 | 0.873 | 4.19 | 3567 | 2 | 2 | 249 | 1965 | 0 | 5 | 0 | 0.667 | 12 | 59 | 59 | 2 | 1 | 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$ | |||||||
| Jan Rutta | D | 34 | 1,400,000$ | 1,400,000$ | UFA | ||||||
| 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 | ||||||
| Maxim Groshev | LW/RW | 23 | 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$ | |||||||
| Vitali Pinchuk | C | 23 | 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 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 4.67 | 2.33 | 2.33 | 5 | 0.833 | 4.7 | 8.3 | 13.0 | 0 | 1 | 96 | 75 | 66 | 4 | 38.3 | 732 | 703 | 728 | 33 | 27.7 | 8.7 | 6.67 | 21.7 | 5.67 | 1.67 | 29.41% | 3.33 | 0.33 | 90.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 468.33 | 318.33 | 454.67 | 148.67 | 267.00 | 132.00 | 60.0% | 12.2% | 91.6% | 103.7 | LUCKY |
| 2 | Ninjas | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5.00 | 4.50 | 0.50 | 2 | 0.500 | 5.0 | 9.0 | 14.0 | 0 | 0 | 96 | 75 | 66 | 4 | 42.5 | 732 | 703 | 728 | 33 | 29.0 | 9.0 | 4.00 | 21.5 | 4.50 | 1.00 | 22.22% | 2.00 | 0.50 | 75.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 50.0% | 11.8% | 84.5% | 96.2 | FUN |
| 3 | Junior Wolves | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6.00 | 5.00 | 1.00 | 2 | 1.000 | 6.0 | 10.0 | 16.0 | 0 | 0 | 96 | 75 | 66 | 4 | 40.0 | 732 | 703 | 728 | 33 | 27.0 | 8.0 | 10.00 | 26.0 | 2.00 | 1.00 | 50.00% | 5.00 | 3.00 | 40.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 1,405.00 | 955.00 | 1,364.00 | 446.00 | 801.00 | 396.00 | 71.4% | 15.0% | 81.5% | 96.5 | FUN |
| 4 | Bulldogs | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4.50 | 3.50 | 1.00 | 3 | 0.750 | 4.5 | 8.5 | 13.0 | 0 | 0 | 96 | 75 | 66 | 4 | 37.5 | 732 | 703 | 728 | 33 | 22.0 | 5.5 | 8.50 | 20.5 | 3.00 | 1.50 | 50.00% | 3.00 | 1.00 | 66.67% | 1 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 54.5% | 12.0% | 84.1% | 96.1 | FUN |
| 5 | Shockers | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.67 | -0.67 | 2 | 0.333 | 4.0 | 6.0 | 10.0 | 0 | 0 | 96 | 75 | 66 | 4 | 36.0 | 732 | 703 | 728 | 33 | 34.0 | 8.0 | 6.67 | 22.3 | 2.33 | 0.67 | 28.57% | 3.00 | 0.33 | 88.89% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 468.33 | 318.33 | 454.67 | 148.67 | 267.00 | 132.00 | 43.5% | 11.1% | 86.3% | 97.4 | FUN |
| 6 | Gargoyles | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.00 | 1.00 | 4 | 1.000 | 4.0 | 7.5 | 11.5 | 0 | 0 | 96 | 75 | 66 | 4 | 41.0 | 732 | 703 | 728 | 33 | 29.0 | 8.5 | 3.00 | 26.0 | 2.50 | 1.00 | 40.00% | 1.50 | 1.00 | 33.33% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 60.0% | 9.8% | 89.7% | 99.4 | FUN |
| 7 | Sailors | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7.00 | 3.00 | 4.00 | 4 | 1.000 | 7.0 | 13.0 | 20.0 | 0 | 0 | 96 | 75 | 66 | 4 | 54.5 | 732 | 703 | 728 | 33 | 21.5 | 6.0 | 7.00 | 19.5 | 4.50 | 2.00 | 44.44% | 3.00 | 0.50 | 83.33% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 66.7% | 12.8% | 86.0% | 98.9 | FUN |
| 8 | Devils | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 7.00 | -4.00 | 0 | 0.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 96 | 75 | 66 | 4 | 36.0 | 732 | 703 | 728 | 33 | 39.0 | 9.0 | 4.00 | 20.0 | 3.00 | 1.00 | 33.33% | 2.00 | 1.00 | 50.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 1,405.00 | 955.00 | 1,364.00 | 446.00 | 801.00 | 396.00 | 25.0% | 8.3% | 82.1% | 90.4 | Unlucky |
| 9 | Eagles | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3.33 | 4.33 | -1.00 | 2 | 0.333 | 3.3 | 6.0 | 9.3 | 0 | 0 | 96 | 75 | 66 | 4 | 36.0 | 732 | 703 | 728 | 33 | 36.3 | 9.3 | 10.00 | 27.3 | 3.33 | 1.00 | 30.00% | 4.67 | 1.33 | 71.43% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 468.33 | 318.33 | 454.67 | 148.67 | 267.00 | 132.00 | 43.8% | 9.3% | 88.1% | 97.3 | FUN |
| 10 | Ravens | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4.00 | 5.50 | -1.50 | 1 | 0.250 | 4.0 | 7.0 | 11.0 | 0 | 0 | 96 | 75 | 66 | 4 | 38.5 | 732 | 703 | 728 | 33 | 41.0 | 14.0 | 7.00 | 21.5 | 3.00 | 0.50 | 16.67% | 3.00 | 1.00 | 66.67% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 43.8% | 10.4% | 86.6% | 97.0 | FUN |
| 11 | Venom | 5 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 3.40 | 5.40 | -2.00 | 1 | 0.100 | 3.4 | 6.2 | 9.6 | 0 | 0 | 96 | 75 | 66 | 4 | 33.0 | 732 | 703 | 728 | 33 | 40.6 | 13.6 | 8.20 | 24.8 | 1.80 | 0.40 | 22.22% | 3.40 | 1.00 | 70.59% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 281.00 | 191.00 | 272.80 | 89.20 | 160.20 | 79.20 | 40.5% | 10.3% | 86.7% | 97.0 | FUN |
| 12 | Indians | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 4 | 1.000 | 4.0 | 6.5 | 10.5 | 0 | 1 | 96 | 75 | 66 | 4 | 35.5 | 732 | 703 | 728 | 33 | 34.0 | 7.5 | 8.00 | 18.0 | 2.50 | 1.00 | 40.00% | 3.50 | 0.50 | 85.71% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 66.7% | 11.3% | 94.1% | 105.4 | LUCKY |
| 13 | Blades | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 4.00 | 5.00 | -1.00 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 0 | 96 | 75 | 66 | 4 | 29.0 | 732 | 703 | 728 | 33 | 41.0 | 17.0 | 5.00 | 24.5 | 2.50 | 1.00 | 40.00% | 2.50 | 0.00 | 100.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 37.5% | 13.8% | 87.8% | 101.6 | FUN |
| 14 | Sharknado | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3.33 | 6.33 | -3.00 | 0 | 0.000 | 3.3 | 5.3 | 8.7 | 0 | 0 | 96 | 75 | 66 | 4 | 39.3 | 732 | 703 | 728 | 33 | 42.0 | 12.0 | 8.00 | 17.0 | 1.67 | 0.67 | 40.00% | 4.00 | 2.00 | 50.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 468.33 | 318.33 | 454.67 | 148.67 | 267.00 | 132.00 | 38.1% | 8.5% | 84.9% | 93.4 | Unlucky |
| 15 | Barking Spiders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5.00 | 5.50 | -0.50 | 2 | 0.500 | 5.0 | 8.5 | 13.5 | 0 | 0 | 96 | 75 | 66 | 4 | 41.0 | 732 | 703 | 728 | 33 | 28.5 | 7.5 | 7.00 | 24.0 | 3.00 | 1.00 | 33.33% | 3.50 | 2.50 | 28.57% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 57.1% | 12.2% | 80.7% | 92.9 | FUN |
| 16 | Space Invaders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5.00 | 4.00 | 1.00 | 2 | 0.500 | 5.0 | 9.5 | 14.5 | 0 | 0 | 96 | 75 | 66 | 4 | 38.0 | 732 | 703 | 728 | 33 | 30.5 | 8.0 | 4.00 | 26.0 | 1.50 | 0.00 | 0.00% | 2.00 | 0.00 | 100.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 55.6% | 13.2% | 86.9% | 100.0 | FUN |
| 17 | Checkers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 3.00 | 3.00 | 4 | 1.000 | 6.0 | 9.5 | 15.5 | 0 | 0 | 96 | 75 | 66 | 4 | 41.0 | 732 | 703 | 728 | 33 | 26.5 | 8.0 | 8.00 | 19.0 | 2.50 | 0.50 | 20.00% | 3.50 | 1.00 | 71.43% | 1 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 73.3% | 14.6% | 88.7% | 103.3 | FUN |
| 18 | Vikings | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 4.67 | 3.00 | 1.67 | 6 | 1.000 | 4.7 | 7.3 | 12.0 | 0 | 0 | 96 | 75 | 66 | 4 | 33.3 | 732 | 703 | 728 | 33 | 32.0 | 7.3 | 4.00 | 23.3 | 4.33 | 1.67 | 38.46% | 2.00 | 0.67 | 66.67% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 468.33 | 318.33 | 454.67 | 148.67 | 267.00 | 132.00 | 56.3% | 14.0% | 90.6% | 104.6 | FUN |
| 19 | Thistles | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6.50 | 3.00 | 3.50 | 4 | 1.000 | 6.5 | 11.5 | 18.0 | 0 | 0 | 96 | 75 | 66 | 4 | 47.5 | 732 | 703 | 728 | 33 | 31.0 | 4.0 | 7.00 | 19.5 | 2.00 | 1.00 | 50.00% | 3.00 | 0.00 | 100.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 64.7% | 13.7% | 90.3% | 104.0 | FUN |
| 20 | Barracudas | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.50 | -0.50 | 2 | 0.500 | 3.0 | 6.0 | 9.0 | 0 | 0 | 96 | 75 | 66 | 4 | 43.0 | 732 | 703 | 728 | 33 | 26.5 | 10.5 | 10.00 | 22.0 | 4.00 | 1.00 | 25.00% | 5.00 | 1.00 | 80.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 44.4% | 7.0% | 86.8% | 93.8 | Unlucky |
| 21 | Senators | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 3.00 | 1.50 | 2 | 0.500 | 4.5 | 7.0 | 11.5 | 0 | 0 | 96 | 75 | 66 | 4 | 33.5 | 732 | 703 | 728 | 33 | 37.5 | 10.5 | 7.00 | 21.5 | 2.50 | 0.00 | 0.00% | 3.50 | 1.50 | 57.14% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 75.0% | 13.4% | 92.0% | 105.4 | LUCKY |
| 22 | Pimps | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3.00 | 4.00 | -1.00 | 1 | 0.500 | 3.0 | 6.0 | 9.0 | 0 | 0 | 96 | 75 | 66 | 4 | 35.0 | 732 | 703 | 728 | 33 | 25.0 | 4.0 | 8.00 | 26.0 | 4.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 1,405.00 | 955.00 | 1,364.00 | 446.00 | 801.00 | 396.00 | 50.0% | 8.6% | 84.0% | 92.6 | Unlucky |
| 23 | Wolf Pack | 5 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 1.60 | 5.80 | -4.20 | 0 | 0.000 | 1.6 | 2.8 | 4.4 | 0 | 0 | 96 | 75 | 66 | 4 | 29.0 | 732 | 703 | 728 | 33 | 36.6 | 10.6 | 7.60 | 24.4 | 2.60 | 0.60 | 23.08% | 3.80 | 1.20 | 68.42% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 281.00 | 191.00 | 272.80 | 89.20 | 160.20 | 79.20 | 17.9% | 5.5% | 84.2% | 89.7 | Unlucky |
| 24 | Assassins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 96 | 75 | 66 | 4 | 28.0 | 732 | 703 | 728 | 33 | 39.5 | 7.5 | 9.00 | 21.5 | 4.00 | 1.50 | 37.50% | 4.50 | 1.00 | 77.78% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 40.0% | 12.5% | 89.9% | 102.4 | FUN |
| 25 | Zolos | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 4.00 | -1.00 | 0 | 0.000 | 3.0 | 4.0 | 7.0 | 0 | 0 | 96 | 75 | 66 | 4 | 29.0 | 732 | 703 | 728 | 33 | 30.0 | 12.0 | 10.00 | 29.0 | 2.00 | 1.00 | 50.00% | 4.00 | 2.00 | 50.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 1,405.00 | 955.00 | 1,364.00 | 446.00 | 801.00 | 396.00 | 50.0% | 10.3% | 86.7% | 97.0 | FUN |
| 26 | Huskies | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4.00 | 4.00 | 0.00 | 3 | 0.750 | 4.0 | 7.0 | 11.0 | 0 | 0 | 96 | 75 | 66 | 4 | 42.5 | 732 | 703 | 728 | 33 | 33.5 | 9.5 | 5.00 | 22.5 | 5.00 | 0.50 | 10.00% | 2.50 | 1.00 | 60.00% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 702.50 | 477.50 | 682.00 | 223.00 | 400.50 | 198.00 | 53.8% | 9.4% | 88.1% | 97.5 | FUN |
| _Vs Division | 21 | 7 | 11 | 0 | 1 | 1 | 0 | 1 | 3.67 | 4.33 | -0.67 | 18 | 0.429 | 3.7 | 6.5 | 10.1 | 0 | 1 | 96 | 75 | 66 | 4 | 35.3 | 732 | 703 | 728 | 33 | 34.1 | 10.0 | 7.38 | 23.9 | 3.38 | 1.05 | 30.99% | 3.43 | 0.90 | 73.61% | 0 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 66.90 | 45.48 | 64.95 | 21.24 | 38.14 | 18.86 | 43.3% | 10.4% | 87.3% | 97.7 | FUN | |
| _Vs Conference | 36 | 15 | 18 | 0 | 1 | 1 | 0 | 1 | 4.03 | 4.28 | -0.25 | 34 | 0.472 | 4.0 | 6.9 | 11.0 | 0 | 1 | 96 | 75 | 66 | 4 | 37.0 | 732 | 703 | 728 | 33 | 33.6 | 9.4 | 7.03 | 23.1 | 2.83 | 0.89 | 31.37% | 3.25 | 0.89 | 72.65% | 1 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 39.03 | 26.53 | 37.89 | 12.39 | 22.25 | 11.00 | 48.1% | 10.9% | 87.3% | 98.1 | FUN | |
| _Since Last GM Reset | 59 | 23 | 25 | 0 | 2 | 6 | 1 | 2 | 4.07 | 4.25 | -0.19 | 60 | 0.508 | 4.1 | 7.1 | 11.2 | 0 | 2 | 96 | 75 | 66 | 4 | 37.0 | 732 | 703 | 728 | 33 | 33.3 | 9.4 | 7.05 | 22.7 | 3.03 | 0.88 | 29.05% | 3.27 | 0.97 | 70.47% | 2 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 23.81 | 16.19 | 23.12 | 7.56 | 13.58 | 6.71 | 49.2% | 11.0% | 87.2% | 98.2 | FUN | |
| Total | 59 | 23 | 25 | 0 | 2 | 6 | 1 | 2 | 4.07 | 4.25 | -0.19 | 60 | 0.508 | 4.1 | 7.1 | 11.2 | 0 | 2 | 96 | 75 | 66 | 4 | 37.0 | 732 | 703 | 728 | 33 | 33.3 | 9.4 | 7.05 | 22.7 | 3.03 | 0.88 | 29.05% | 3.27 | 0.97 | 70.47% | 2 | 1292 | 2239 | 57.70% | 1096 | 1992 | 55.02% | 613 | 1103 | 55.58% | 23.81 | 16.19 | 23.12 | 7.56 | 13.58 | 6.71 | 49.2% | 11.0% | 87.2% | 98.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2239 |
| Neutral Zone Start | 1103 |
| Defensive Zone Start | 1992 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3001 |
| Faceoffs Lost | 2333 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.4 | 9.57 |
| 2nd Period | 24.3 | 20.31 |
| 3rd Period | 36.7 | 30.68 |
| Overtime | 37.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.6 | 0.64 |
| 2nd Period | 2.9 | 1.65 |
| 3rd Period | 4.0 | 2.67 |
| Overtime | 4.1 | 2.83 |
| Even Strenght Goal | 186 |
|---|---|
| PP Goal | 52 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 13 | 13 |
| Lost | 11 | 14 |
| Overtime Lost | 4 | 4 |
| PP Attempt | 179 |
|---|---|
| PP Goal | 52 |
| PK Attempt | 193 |
| PK Goal Against | 57 |
| Home | |
|---|---|
| Shots For | 37.0 |
| Shots Against | 33.3 |
| Goals For | 4.1 |
| Goals Against | 4.3 |
| Hits | 22.7 |
| Shots Blocked | 9.4 |
| Pim | 7.1 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,367,583$ | 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 | 46308 | 23456 | |||
| Attendance PCT | 82.69% | 83.77% | 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 |
| 13 | 2492 - 83.05% | 70,451$ | 1,972,620$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,367,583$ | 2,367,583$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,666,016$ | 11,972$ | 1,655,808$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 915,859$ | 48 | 12,204$ | 585,792$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 585,792$ | 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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