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Full Scoreboard »» |
| Milwaukee Admirals 12-10-3, 27pts · 10th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pontus Holmberg | 0 | LW/RW | 99.00 | 65 | 35 | 87 | 57 | 78 | 76 | 84 | 61 | 75 | 62 | 62 | 67 | 62 | 68 | 67 | 0 | 37 | 72 | 26 | 2,300,000$/6yrs | |||
A.J. Greer | 24 | LW/RW | 100.00 | 82 | 49 | 60 | 56 | 84 | 71 | 87 | 56 | 59 | 59 | 60 | 61 | 58 | 72 | 68 | 0 | 46 | 70 | 28 | 925,000$/1yrs | |||
Josh Dunne | 0 | C | 100.00 | 70 | 41 | 74 | 53 | 86 | 65 | 67 | 65 | 65 | 56 | 54 | 68 | 55 | 70 | 67 | 0 | 44 | 69 | 26 | 800,000$/2yrs | |||
Jonathan Gruden (R) | 0 | LW | 99.00 | 75 | 41 | 65 | 55 | 75 | 65 | 69 | 63 | 61 | 54 | 56 | 66 | 55 | 66 | 63 | 0 | 45 | 69 | 25 | 850,000$/1yrs | |||
Jansen Harkins | 0 | C/LW | 100.00 | 79 | 37 | 86 | 55 | 73 | 72 | 81 | 52 | 76 | 56 | 53 | 67 | 52 | 71 | 70 | 0 | 44 | 68 | 28 | 1,000,000$/2yrs | |||
Oskar Olausson (R) | 0 | LW/RW | 100.00 | 65 | 39 | 83 | 56 | 72 | 65 | 69 | 61 | 46 | 55 | 57 | 64 | 56 | 63 | 61 | 0 | 43 | 68 | 23 | 863,333$/1yrs | |||
Carter Mazur (R) | 0 | LW | 99.00 | 70 | 39 | 75 | 58 | 68 | 65 | 77 | 59 | 47 | 55 | 59 | 62 | 57 | 59 | 57 | 0 | 44 | 68 | 23 | 905,833$/1yrs | |||
Cole Schwindt | 0 | C/RW | 100.00 | 68 | 32 | 98 | 55 | 74 | 70 | 72 | 53 | 77 | 61 | 53 | 57 | 53 | 64 | 64 | 0 | 44 | 67 | 24 | 875,000$/1yrs | |||
Eduards Tralmaks | 0 | C/LW/RW | 100.00 | 62 | 40 | 87 | 50 | 85 | 62 | 70 | 64 | 74 | 49 | 53 | 68 | 51 | 68 | 67 | 0 | 44 | 67 | 28 | 900,000$/1yrs | |||
Felix Unger Sorum (R) | 0 | RW | 100.00 | 59 | 37 | 93 | 56 | 66 | 62 | 66 | 58 | 43 | 56 | 53 | 62 | 54 | 57 | 57 | 0 | 44 | 66 | 20 | 838,000$/2yrs | |||
Nikita Alexandrov | 0 | C | 100.00 | 71 | 32 | 93 | 55 | 71 | 70 | 69 | 51 | 72 | 57 | 50 | 56 | 51 | 65 | 65 | 0 | 44 | 65 | 25 | 1,250,000$/1yrs | |||
Oliver Chau | 0 | C | 100.00 | 62 | 37 | 88 | 47 | 62 | 60 | 66 | 65 | 69 | 45 | 50 | 68 | 48 | 68 | 66 | 0 | 42 | 65 | 28 | 800,000$/2yrs | |||
Ilya Solovyov (R) | 0 | D | 100.00 | 76 | 33 | 86 | 59 | 84 | 82 | 67 | 61 | 30 | 67 | 50 | 72 | 56 | 66 | 65 | 0 | 46 | 75 | 25 | 850,000$/1yrs | |||
Henry Thrun | 0 | D | 100.00 | 63 | 37 | 85 | 57 | 76 | 87 | 82 | 57 | 30 | 61 | 56 | 67 | 57 | 65 | 63 | 0 | 45 | 72 | 24 | 1,250,000$/1yrs | |||
Ethan Bear | 0 | D | 100.00 | 64 | 33 | 85 | 55 | 75 | 81 | 69 | 54 | 30 | 59 | 56 | 59 | 55 | 71 | 70 | 0 | 44 | 70 | 28 | 1,000,000$/1yrs | |||
Connor Punnett | 0 | D | 100.00 | 89 | 44 | 50 | 62 | 79 | 67 | 89 | 57 | 30 | 56 | 49 | 62 | 60 | 58 | 53 | 0 | 46 | 69 | 22 | 870,000$/2yrs | |||
Tyler Tucker | 0 | D | 100.00 | 82 | 73 | 50 | 55 | 80 | 78 | 75 | 52 | 30 | 57 | 58 | 64 | 55 | 66 | 61 | 0 | 45 | 69 | 25 | 925,000$/2yrs | |||
Isaiah George (R) | 0 | D | 100.00 | 60 | 33 | 93 | 55 | 77 | 82 | 70 | 50 | 30 | 59 | 55 | 54 | 52 | 59 | 59 | 0 | 41 | 68 | 21 | 838,000$/2yrs | |||
Andrew Gibson (R) | 0 | D | 100.00 | 81 | 42 | 62 | 53 | 85 | 63 | 84 | 51 | 30 | 54 | 54 | 63 | 54 | 57 | 54 | 0 | 44 | 67 | 20 | 865,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Mathias Emilio Pettersen | 0 | C/LW | 100.00 | 65 | 39 | 82 | 56 | 70 | 65 | 69 | 63 | 35 | 58 | 54 | 66 | 56 | 66 | 64 | 0 | 20 | 69 | 25 | 875,000$/1yrs | |||
Matthew Phillips | 0 | C/LW | 100.00 | 57 | 30 | 99 | 55 | 52 | 72 | 70 | 56 | 59 | 60 | 55 | 56 | 55 | 70 | 70 | 0 | 20 | 67 | 27 | ||||
Ben Hemmerling (R) | 0 | RW | 100.00 | 57 | 37 | 95 | 53 | 71 | 61 | 65 | 60 | 44 | 51 | 52 | 63 | 52 | 59 | 58 | 0 | 20 | 65 | 21 | 844,167$/1yrs | |||
Joey Keane | 0 | D | 100.00 | 68 | 39 | 78 | 50 | 74 | 64 | 65 | 49 | 30 | 55 | 52 | 68 | 54 | 68 | 66 | 0 | 20 | 67 | 26 | 900,000$/1yrs | |||
Cole Clayton | 0 | D | 100.00 | 66 | 40 | 81 | 50 | 79 | 64 | 66 | 49 | 30 | 55 | 52 | 67 | 53 | 66 | 64 | 0 | 19 | 67 | 25 | 900,000$/2yrs | |||
Beau Akey (R) | 0 | D | 100.00 | 68 | 39 | 78 | 61 | 69 | 66 | 80 | 55 | 30 | 54 | 49 | 60 | 60 | 54 | 52 | 0 | 27 | 67 | 20 | 895,000$/1yrs | |||
Hunter Skinner (R) | 83 | D | 100.00 | 87 | 43 | 50 | 49 | 80 | 63 | 67 | 48 | 30 | 54 | 53 | 66 | 53 | 64 | 59 | 0 | 20 | 66 | 24 | 800,000$/1yrs | |||
Vsevolod Komarov (R) | 0 | D | 100.00 | 80 | 42 | 58 | 50 | 85 | 62 | 65 | 48 | 30 | 55 | 51 | 63 | 53 | 59 | 55 | 0 | 20 | 66 | 21 | 835,000$/2yrs | |||
Aleksi Heimosalmi (R) | 0 | D | 100.00 | 64 | 38 | 84 | 48 | 66 | 62 | 66 | 48 | 30 | 54 | 53 | 64 | 53 | 61 | 59 | 0 | 20 | 65 | 22 | 806,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Georgy Romanov | 0 | 99.00 | 63 | 64 | 67 | 86 | 70 | 64 | 73 | 80 | 71 | 80 | 73 | 67 | 71 | 0 | 29 | 76 | 25 | 775,000$/2yrs |
Nikita Quapp | 0 | 100.00 | 65 | 57 | 64 | 83 | 54 | 71 | 66 | 65 | 71 | 70 | 68 | 65 | 71 | 0 | 47 | 71 | 22 | 775,000$/2yrs |
| Scratches | ||||||||||||||||||||
Pavel Cajan | 0 | 100.00 | 71 | 62 | 68 | 75 | 70 | 74 | 71 | 71 | 74 | 73 | 72 | 64 | 63 | 0 | 28 | 75 | 23 | 775,000$/1yrs |
Lukas Parik | 0 | 100.00 | 65 | 66 | 68 | 89 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 61 | 65 | 0 | 28 | 71 | 24 | 800,000$/1yrs |
Nikita Tolopilo | 0 | 100.00 | 60 | 61 | 65 | 94 | 61 | 60 | 60 | 60 | 60 | 68 | 60 | 66 | 69 | 0 | 34 | 69 | 25 | 950,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Willie Desjardins | 70 | 69 | 63 | 76 | 97 | 85 | 49 | CAN | 68 | 4 | 500,000$ |
| General Manager |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Henry Thrun | D | 25 | 2 | 15 | 17 | 8 | 5 | 5 | 6 | 35 | 12 | 21 | 5.71% | 39 | 23.47 | 1 | 1 | 2 | 65 | 0 | 0 | 0 | 66 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 2 | Pontus Holmberg | LW/RW | 19 | 10 | 5 | 15 | -5 | 2 | 0 | 11 | 70 | 19 | 48 | 14.29% | 4 | 22.20 | 6 | 2 | 8 | 57 | 0 | 0 | 0 | 29 | 0 | 0 | 58.74% | 538 | 0 | 0 | 0 | 0 | 0.71 | 0 | 1 | ||
| 3 | Jonathan Gruden | LW | 25 | 7 | 8 | 15 | 5 | 19 | 5 | 59 | 95 | 17 | 63 | 7.37% | 12 | 19.82 | 0 | 3 | 3 | 69 | 0 | 0 | 0 | 34 | 2 | 1 | 54.55% | 33 | 0 | 0 | 0 | 0 | 0.61 | 1 | 1 | ||
| 4 | Ilya Solovyov | D | 23 | 5 | 9 | 14 | -1 | 12 | 0 | 60 | 32 | 5 | 19 | 15.63% | 28 | 20.02 | 1 | 1 | 2 | 22 | 0 | 0 | 0 | 17 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 5 | A.J. Greer | LW/RW | 25 | 4 | 9 | 13 | 2 | 36 | 10 | 92 | 58 | 12 | 31 | 6.90% | 8 | 18.45 | 0 | 6 | 6 | 75 | 0 | 0 | 0 | 63 | 0 | 2 | 56.33% | 387 | 0 | 0 | 0 | 0 | 0.56 | 0 | 2 | ||
| 6 | Oskar Olausson | LW/RW | 25 | 2 | 11 | 13 | -1 | 4 | 0 | 24 | 60 | 18 | 39 | 3.33% | 5 | 18.99 | 0 | 1 | 1 | 33 | 0 | 0 | 0 | 18 | 0 | 0 | 50.00% | 44 | 0 | 0 | 0 | 0 | 0.55 | 1 | 1 | ||
| 7 | Connor Punnett | D | 25 | 3 | 9 | 12 | 8 | 40 | 10 | 85 | 35 | 8 | 16 | 8.57% | 16 | 19.11 | 1 | 3 | 4 | 64 | 0 | 0 | 0 | 53 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 1 | 0.50 | 0 | 0 | ||
| 8 | Jansen Harkins | C/LW | 25 | 6 | 5 | 11 | 2 | 4 | 0 | 40 | 54 | 15 | 36 | 11.11% | 8 | 16.57 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 44 | 1 | 1 | 57.41% | 54 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 9 | Carter Mazur | LW | 25 | 7 | 4 | 11 | -6 | 10 | 0 | 62 | 69 | 14 | 42 | 10.14% | 4 | 20.08 | 0 | 2 | 2 | 42 | 0 | 0 | 0 | 0 | 4 | 0 | 40.00% | 40 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
| 10 | Josh Dunne | C | 25 | 3 | 7 | 10 | 1 | 14 | 0 | 40 | 71 | 19 | 57 | 4.23% | 7 | 20.13 | 1 | 1 | 2 | 67 | 0 | 0 | 0 | 62 | 0 | 0 | 56.13% | 652 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 11 | Cole Schwindt | C/RW | 25 | 3 | 6 | 9 | 2 | 8 | 0 | 7 | 49 | 19 | 29 | 6.12% | 8 | 19.90 | 2 | 0 | 2 | 70 | 0 | 0 | 0 | 0 | 0 | 0 | 62.39% | 117 | 0 | 0 | 0 | 0 | 0.36 | 0 | 2 | ||
| 12 | Ethan Bear | D | 25 | 1 | 4 | 5 | -11 | 8 | 0 | 17 | 24 | 10 | 20 | 4.17% | 20 | 20.35 | 0 | 0 | 0 | 62 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
| 13 | Tyler Tucker | D | 25 | 1 | 4 | 5 | -9 | 25 | 5 | 60 | 26 | 11 | 13 | 3.85% | 19 | 15.05 | 1 | 2 | 3 | 62 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
| 14 | Felix Unger Sorum | RW | 25 | 3 | 2 | 5 | 1 | 0 | 0 | 3 | 35 | 9 | 31 | 8.57% | 1 | 13.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 40.91% | 22 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 15 | Isaiah George | D | 23 | 0 | 4 | 4 | 0 | 8 | 0 | 8 | 12 | 3 | 8 | 0.00% | 32 | 17.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
| 16 | Cole Clayton | D | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 2 | 4 | 2 | 0.00% | 1 | 19.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
| 17 | Nikita Alexandrov | C | 23 | 0 | 0 | 0 | -2 | 2 | 0 | 3 | 9 | 3 | 5 | 0.00% | 1 | 4.78 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 51.49% | 101 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 18 | Eduards Tralmaks | C/LW/RW | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 3 | 0.00% | 1 | 0.67 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 12 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 19 | Oliver Chau | C | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 20 | Beau Akey | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 1 | 1 | 0.00% | 2 | 10.45 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Ben Hemmerling | RW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 2.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 22 | Andrew Gibson | D | 19 | 0 | 0 | 0 | -2 | 4 | 0 | 7 | 0 | 0 | 0 | 0.00% | 1 | 1.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 465 | 57 | 103 | 160 | -8 | 201 | 35 | 591 | 741 | 200 | 484 | 7.69% | 217 | 15.42 | 13 | 22 | 35 | 711 | 0 | 0 | 0 | 532 | 10 | 5 | 56.50% | 2000 | 0 | 0 | 0 | 1 | 0.45 | 2 | 7 |
| 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 | Georgy Romanov | 7 | 5 | 1 | 1 | 0.931 | 1.96 | 429 | 0 | 1 | 14 | 204 | 0 | 0 | 0 | 1.000 | 4 | 7 | 0 | 1 | 0 | 1 | |
| 2 | Nikita Tolopilo | 6 | 3 | 3 | 0 | 0.927 | 2.18 | 358 | 0 | 0 | 13 | 179 | 0 | 0 | 0 | 0.000 | 0 | 6 | 1 | 0 | 1 | 0 | |
| 3 | Nikita Quapp | 1 | 0 | 1 | 0 | 0.800 | 3.05 | 59 | 0 | 0 | 3 | 15 | 0 | 0 | 0 | 0.000 | 0 | 1 | 18 | 0 | 0 | 0 | |
| Team Total or Average | 14 | 8 | 5 | 1 | 0.925 | 2.13 | 846 | 0 | 1 | 30 | 398 | 0 | 0 | 0 | 1.000 | 4 | 14 | 19 | 1 | 1 | 1 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| A.J. Greer | LW/RW | 28 | 925,000$ | 925,000$ | UFA | ||||||
| Aleksi Heimosalmi | D | 22 | 806,000$ | 806,000$ | RFA | ||||||
| Andrew Gibson | D | 20 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
| Beau Akey | D | 20 | 895,000$ | 895,000$ | RFA | ||||||
| Ben Hemmerling | RW | 21 | 844,167$ | 844,167$ | RFA | ||||||
| Carter Mazur | LW | 23 | 905,833$ | 905,833$ | RFA | ||||||
| Cole Clayton | D | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Cole Schwindt | C/RW | 24 | 875,000$ | 875,000$ | |||||||
| Connor Punnett | D | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Eduards Tralmaks | C/LW/RW | 28 | 900,000$ | 900,000$ | UFA | ||||||
| Ethan Bear | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Felix Unger Sorum | RW | 20 | 838,000$ | 838,000$ | 838,000$ | RFA | |||||
| Georgy Romanov | G | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
| Henry Thrun | D | 24 | 1,250,000$ | 1,250,000$ | |||||||
| Hunter Skinner | D | 24 | 800,000$ | 800,000$ | |||||||
| Ilya Solovyov | D | 25 | 850,000$ | 850,000$ | |||||||
| Isaiah George | D | 21 | 838,000$ | 838,000$ | 838,000$ | RFA | |||||
| Jansen Harkins | C/LW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Joey Keane | D | 26 | 900,000$ | 900,000$ | |||||||
| Jonathan Gruden | LW | 25 | 850,000$ | 850,000$ | |||||||
| Josh Dunne | C | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Lukas Parik | G | 24 | 800,000$ | 800,000$ | |||||||
| Mathias Emilio Pettersen | C/LW | 25 | 875,000$ | 875,000$ | |||||||
| Matthew Phillips | C/LW | 27 | 0$ | UFA | |||||||
| Nikita Alexandrov | C | 25 | 1,250,000$ | 1,250,000$ | |||||||
| Nikita Quapp | G | 22 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
| Nikita Tolopilo | G | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
| Oliver Chau | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Oskar Olausson | LW/RW | 23 | 863,333$ | 863,333$ | RFA | ||||||
| Pavel Cajan | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Pontus Holmberg | LW/RW | 26 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | UFA | |
| Tyler Tucker | D | 25 | 925,000$ | 925,000$ | 925,000$ | ||||||
| Vsevolod Komarov | D | 21 | 835,000$ | 835,000$ | 835,000$ | 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 20 | 23 | 17 | 2 | 53 | 223 | 253 | 278 | 24 | 55 | 19 | 18 | 52 | 9 | 1 | 11.11% | 8 | 1 | 87.50% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 75.0% | 13.2% | 94.5% | 107.8 | LUCKY | |
| 2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 2 | 0.333 | 2 | 4 | 6 | 0 | 1 | 20 | 23 | 17 | 2 | 84 | 223 | 253 | 278 | 24 | 84 | 22 | 28 | 61 | 6 | 0 | 0.00% | 14 | 1 | 92.86% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 25.0% | 2.4% | 91.7% | 94.0 | DULL | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 20 | 23 | 17 | 2 | 32 | 223 | 253 | 278 | 24 | 42 | 9 | 12 | 21 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 100.0% | 6.3% | 100.0% | 106.3 | DULL | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 20 | 23 | 17 | 2 | 29 | 223 | 253 | 278 | 24 | 37 | 8 | 4 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 20.0% | 3.4% | 89.2% | 92.6 | Unlucky | |
| 5 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 1 | 0 | 20 | 23 | 17 | 2 | 45 | 223 | 253 | 278 | 24 | 81 | 13 | 16 | 61 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 30.0% | 8.9% | 91.4% | 100.2 | Unlucky | |
| 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 6 | 1.000 | 9 | 18 | 27 | 0 | 0 | 20 | 23 | 17 | 2 | 81 | 223 | 253 | 278 | 24 | 84 | 25 | 20 | 58 | 8 | 1 | 12.50% | 10 | 1 | 90.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 66.7% | 11.1% | 94.0% | 105.2 | LUCKY | |
| 7 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 20 | 23 | 17 | 2 | 38 | 223 | 253 | 278 | 24 | 50 | 21 | 9 | 32 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 75.0% | 7.9% | 96.0% | 103.9 | DULL | |
| 8 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 20 | 23 | 17 | 2 | 40 | 223 | 253 | 278 | 24 | 40 | 12 | 4 | 29 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 33.3% | 7.5% | 90.0% | 97.5 | Unlucky | |
| 9 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 20 | 23 | 17 | 2 | 110 | 223 | 253 | 278 | 24 | 110 | 17 | 10 | 81 | 12 | 1 | 8.33% | 4 | 1 | 75.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 53.8% | 7.3% | 93.6% | 100.9 | DULL | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 20 | 23 | 17 | 2 | 30 | 223 | 253 | 278 | 24 | 27 | 14 | 14 | 11 | 4 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 100.0% | 3.3% | 88.9% | 92.2 | Unlucky | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 23 | 17 | 2 | 33 | 223 | 253 | 278 | 24 | 15 | 6 | 2 | 21 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 40.0% | 6.1% | 80.0% | 86.1 | Unlucky | |
| 12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 20 | 23 | 17 | 2 | 75 | 223 | 253 | 278 | 24 | 65 | 19 | 38 | 53 | 8 | 4 | 50.00% | 6 | 1 | 83.33% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 40.0% | 10.7% | 89.2% | 99.9 | FUN | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 20 | 23 | 17 | 2 | 39 | 223 | 253 | 278 | 24 | 17 | 9 | 6 | 22 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 25.0% | 5.1% | 82.4% | 87.5 | Unlucky | |
| 14 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 0.667 | 9 | 18 | 27 | 0 | 1 | 20 | 23 | 17 | 2 | 82 | 223 | 253 | 278 | 24 | 74 | 31 | 18 | 63 | 11 | 3 | 27.27% | 9 | 0 | 100.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 60.0% | 11.0% | 94.6% | 105.6 | LUCKY | |
| _Vs Division | 12 | 7 | 7 | 0 | 0 | 1 | 0 | 1 | 27 | 35 | -8 | 16 | 0.667 | 27 | 49 | 76 | 1 | 1 | 20 | 23 | 17 | 2 | 387 | 223 | 253 | 278 | 24 | 395 | 89 | 98 | 306 | 40 | 7 | 17.50% | 30 | 3 | 90.00% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 38.5% | 7.0% | 91.1% | 98.1 | Unlucky | |
| _Vs Conference | 22 | 10 | 8 | 0 | 0 | 2 | 1 | 1 | 57 | 52 | 5 | 25 | 0.568 | 57 | 102 | 159 | 1 | 2 | 20 | 23 | 17 | 2 | 680 | 223 | 253 | 278 | 24 | 675 | 194 | 169 | 533 | 75 | 13 | 17.33% | 62 | 6 | 90.32% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 48.9% | 8.4% | 92.3% | 100.7 | DULL | |
| _Since Last GM Reset | 25 | 11 | 10 | 0 | 0 | 2 | 1 | 1 | 61 | 59 | 2 | 27 | 0.540 | 61 | 109 | 170 | 1 | 3 | 20 | 23 | 17 | 2 | 771 | 223 | 253 | 278 | 24 | 781 | 225 | 199 | 588 | 85 | 13 | 15.29% | 77 | 9 | 88.31% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 49.0% | 7.9% | 92.4% | 100.4 | DULL | |
| Total | 25 | 11 | 10 | 0 | 0 | 2 | 1 | 1 | 61 | 59 | 2 | 27 | 0.540 | 61 | 109 | 170 | 1 | 3 | 20 | 23 | 17 | 2 | 771 | 223 | 253 | 278 | 24 | 781 | 225 | 199 | 588 | 85 | 13 | 15.29% | 77 | 9 | 88.31% | 0 | 496 | 880 | 56.36% | 507 | 872 | 58.14% | 230 | 391 | 58.82% | 603 | 402 | 566 | 197 | 347 | 177 | 49.0% | 7.9% | 92.4% | 100.4 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 880 |
| Neutral Zone Start | 391 |
| Defensive Zone Start | 872 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1233 |
| Faceoffs Lost | 910 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.9 | 9.57 |
| 2nd Period | 19.0 | 20.31 |
| 3rd Period | 30.2 | 30.68 |
| Overtime | 31.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.7 | 1.65 |
| 3rd Period | 2.4 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 47 |
|---|---|
| PP Goal | 13 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 7 | 5 |
| Lost | 6 | 4 |
| Overtime Lost | 0 | 3 |
| PP Attempt | 85 |
|---|---|
| PP Goal | 13 |
| PK Attempt | 77 |
| PK Goal Against | 9 |
| Home | |
|---|---|
| Shots For | 30.8 |
| Shots Against | 31.2 |
| Goals For | 2.4 |
| Goals Against | 2.4 |
| Hits | 23.5 |
| Shots Blocked | 9.0 |
| Pim | 8.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-08 | @ | Admirals0,Eagles3 | RECAP | |||||||||||
| 2025-10-10 | @ | Wolves1,Admirals6 | RECAP | |||||||||||
| 2025-10-14 | @ | Admirals4,Stars2 | RECAP | |||||||||||
| 2025-10-16 | @ | IceHogs3,Admirals2 | RECAP | |||||||||||
| 2025-10-18 | @ | Admirals3,IceHogs2 | RECAP | |||||||||||
| 2025-10-19 | @ | Admirals1,Wolves2 | RECAP | |||||||||||
| 2025-10-20 | @ | Admirals2,Wild3 (OT) | RECAP | |||||||||||
| 2025-10-21 | @ | Firebirds2,Admirals0 | RECAP | |||||||||||
| 2025-10-24 | @ | Firebirds2,Admirals4 | RECAP | |||||||||||
| 2025-10-28 | @ | IceHogs2,Admirals3 | RECAP | |||||||||||
| 2025-10-29 | @ | Admirals1,Eagles4 | RECAP | |||||||||||
| 2025-10-30 | @ | Admirals4,Stars5 (SO) | RECAP | |||||||||||
| 2025-11-01 | @ | Moose3,Admirals2 | RECAP | |||||||||||
| 2025-11-05 | @ | Eagles0,Admirals1 | RECAP | |||||||||||
| 2025-11-11 | @ | Wolf Pack0,Admirals2 | RECAP | |||||||||||
| 2025-11-14 | @ | Monsters3,Admirals1 | RECAP | |||||||||||
| 2025-11-16 | @ | Admirals1,Rocket4 | RECAP | |||||||||||
| 2025-11-19 | @ | Wild4,Admirals2 | RECAP | |||||||||||
| 2025-11-22 | @ | Admirals3,Roadrunners4 (OT) | RECAP | |||||||||||
| 2025-11-25 | @ | Firebirds0,Admirals5 | RECAP | |||||||||||
| 2025-11-28 | @ | Admirals2,Canucks1 | RECAP | |||||||||||
| 2025-11-30 | @ | Canucks1,Admirals3 | RECAP | |||||||||||
| 2025-12-03 | @ | Admirals4,Canucks3 | RECAP | |||||||||||
| 2025-12-05 | @ | Admirals3,Reign2 (SO) | RECAP | |||||||||||
| 2025-12-06 | @ | Silver Knights3,Admirals2 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,648,533$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Milwaukee | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 23 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,648,533$ | 2,648,533$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,072,100$ | 14,714$ | 899,874$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 130 | 17,492$ | 2,064,056$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,064,056$ | 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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