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Full Scoreboard »» |
Milwaukee Admirals 32-31-3, 67pts · 11th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 99.00 | 64 | 33 | 99 | 61 | 77 | 83 | 66 | 58 | 56 | 66 | 50 | 73 | 54 | 61 | 61 | 0 | 20 | 71 | 22 | 941,667$/2yrs | |||
![]() | 24 | LW/RW | 100.00 | 75 | 56 | 58 | 56 | 84 | 70 | 84 | 58 | 61 | 58 | 60 | 60 | 59 | 71 | 67 | 0 | 54 | 69 | 28 | 925,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 38 | 79 | 58 | 65 | 66 | 87 | 61 | 72 | 59 | 57 | 64 | 58 | 63 | 61 | 0 | 56 | 69 | 24 | 875,000$/2yrs | |||
![]() | 0 | C | 100.00 | 72 | 32 | 92 | 55 | 72 | 69 | 69 | 57 | 57 | 54 | 62 | 56 | 59 | 74 | 73 | 0 | 33 | 69 | 30 | 800,000$/1yrs | |||
![]() | 0 | C/RW | 98.00 | 63 | 38 | 88 | 61 | 73 | 68 | 75 | 58 | 66 | 60 | 59 | 61 | 60 | 59 | 58 | 0 | 38 | 69 | 22 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 81 | 40 | 63 | 66 | 68 | 69 | 86 | 63 | 63 | 58 | 54 | 60 | 64 | 56 | 52 | 0 | 51 | 69 | 20 | 844,167$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 36 | 83 | 55 | 73 | 70 | 75 | 55 | 59 | 57 | 56 | 58 | 55 | 70 | 68 | 0 | 43 | 68 | 27 | 1,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 69 | 32 | 91 | 56 | 71 | 71 | 73 | 57 | 72 | 59 | 57 | 56 | 57 | 64 | 63 | 0 | 45 | 68 | 24 | 1,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 77 | 41 | 65 | 54 | 85 | 65 | 80 | 62 | 72 | 52 | 56 | 65 | 54 | 66 | 63 | 0 | 63 | 68 | 26 | 800,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 39 | 74 | 56 | 68 | 64 | 79 | 61 | 72 | 55 | 57 | 64 | 56 | 63 | 60 | 0 | 56 | 68 | 24 | 867,500$/1yrs | |||
![]() | 0 | LW | 100.00 | 70 | 39 | 75 | 58 | 68 | 65 | 77 | 59 | 47 | 55 | 59 | 62 | 57 | 59 | 57 | 0 | 38 | 68 | 23 | 905,833$/2yrs | |||
![]() | 0 | LW | 100.00 | 82 | 47 | 89 | 55 | 68 | 69 | 67 | 52 | 30 | 50 | 58 | 67 | 55 | 65 | 64 | 0 | 29 | 67 | 24 | 850,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 72 | 40 | 71 | 54 | 79 | 63 | 77 | 60 | 35 | 52 | 55 | 64 | 54 | 61 | 58 | 0 | 19 | 67 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 33 | 90 | 60 | 76 | 89 | 74 | 58 | 30 | 62 | 57 | 69 | 58 | 64 | 63 | 0 | 35 | 73 | 24 | 1,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 49 | 80 | 55 | 80 | 77 | 74 | 53 | 30 | 55 | 55 | 64 | 54 | 87 | 85 | 0 | 18 | 71 | 37 | 775,000$/1yrs | |||
![]() | 0 | D | 99.00 | 89 | 44 | 50 | 62 | 79 | 67 | 89 | 57 | 30 | 56 | 49 | 62 | 60 | 58 | 53 | 0 | 63 | 69 | 21 | 870,000$/3yrs | |||
![]() | 0 | D | 100.00 | 80 | 67 | 53 | 55 | 80 | 78 | 73 | 54 | 30 | 57 | 56 | 63 | 55 | 65 | 60 | 0 | 37 | 69 | 25 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 38 | 89 | 49 | 71 | 63 | 74 | 48 | 30 | 54 | 51 | 67 | 52 | 66 | 65 | 0 | 58 | 66 | 26 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 40 | 80 | 47 | 83 | 62 | 84 | 47 | 30 | 53 | 49 | 65 | 51 | 63 | 61 | 0 | 58 | 65 | 24 | 850,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 55 | 30 | 97 | 55 | 52 | 72 | 70 | 56 | 59 | 59 | 54 | 55 | 55 | 68 | 68 | 0 | 19 | 67 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 64 | 39 | 84 | 56 | 79 | 64 | 88 | 60 | 70 | 55 | 55 | 63 | 55 | 61 | 59 | 0 | 19 | 67 | 23 | 875,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 40 | 87 | 50 | 85 | 62 | 70 | 64 | 74 | 49 | 53 | 68 | 51 | 68 | 67 | 0 | 20 | 67 | 28 | 900,000$/2yrs | |||
![]() | 0 | C | 100.00 | 57 | 37 | 96 | 62 | 70 | 66 | 70 | 60 | 65 | 55 | 49 | 61 | 60 | 58 | 57 | 0 | 20 | 67 | 21 | 891,667$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 39 | 82 | 54 | 73 | 62 | 82 | 59 | 64 | 51 | 55 | 63 | 53 | 59 | 57 | 0 | 19 | 66 | 22 | 863,333$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 33 | 86 | 55 | 78 | 66 | 67 | 51 | 30 | 50 | 50 | 52 | 50 | 73 | 72 | 0 | 19 | 64 | 30 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 41 | 55 | 49 | 70 | 59 | 66 | 62 | 48 | 51 | 45 | 65 | 48 | 62 | 58 | 0 | 19 | 64 | 25 | 850,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 57 | 39 | 95 | 49 | 82 | 59 | 68 | 62 | 69 | 49 | 47 | 65 | 48 | 62 | 62 | 0 | 19 | 64 | 25 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 40 | 76 | 46 | 83 | 61 | 84 | 46 | 30 | 51 | 49 | 65 | 50 | 62 | 60 | 0 | 55 | 64 | 25 | 900,000$/3yrs | |||
![]() | 83 | D | 100.00 | 86 | 42 | 50 | 46 | 74 | 59 | 78 | 45 | 30 | 51 | 47 | 64 | 49 | 61 | 56 | 0 | 20 | 63 | 23 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 68 | 32 | 50 | 55 | 73 | 78 | 60 | 50 | 30 | 42 | 42 | 50 | 50 | 64 | 59 | 0 | 19 | 60 | 25 | 900,000$/2yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 73 | 77 | 69 | 75 | 72 | 74 | 72 | 73 | 74 | 74 | 73 | 60 | 61 | 0 | 27 | 76 | 22 | 775,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 96.00 | 80 | 84 | 75 | 70 | 88 | 77 | 80 | 80 | 77 | 78 | 79 | 61 | 62 | 0 | 33 | 81 | 23 | 851,667$/2yrs |
![]() | 0 | 100.00 | 71 | 67 | 66 | 71 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 64 | 71 | 0 | 20 | 74 | 27 | |
![]() | 0 | 100.00 | 75 | 61 | 65 | 67 | 61 | 77 | 66 | 69 | 77 | 71 | 66 | 61 | 64 | 0 | 39 | 73 | 22 | 820,000$/1yrs |
![]() | 0 | 100.00 | 65 | 66 | 68 | 89 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 61 | 65 | 0 | 20 | 71 | 24 | 800,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Willie Desjardins | 70 | 69 | 63 | 76 | 97 | 85 | 49 | CAN | 67 | 5 | 500,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mackie Samoskevich | C/RW | 62 | 11 | 34 | 45 | 10 | 10 | 0 | 22 | 166 | 58 | 130 | 6.63% | 14 | 19.15 | 1 | 11 | 12 | 123 | 0 | 1 | 1 | 121 | 1 | 2 | 56.16% | 365 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
2 | Mathias Emilio Pettersen | C/LW | 65 | 18 | 22 | 40 | 4 | 14 | 0 | 47 | 174 | 50 | 126 | 10.34% | 9 | 17.39 | 3 | 7 | 10 | 153 | 0 | 0 | 0 | 52 | 6 | 1 | 50.00% | 104 | 0 | 0 | 0 | 0 | 0.71 | 1 | 1 | ||
3 | A.J. Greer | LW/RW | 66 | 17 | 21 | 38 | 1 | 44 | 0 | 183 | 153 | 38 | 111 | 11.11% | 17 | 19.25 | 4 | 4 | 8 | 172 | 1 | 0 | 1 | 171 | 6 | 2 | 50.24% | 635 | 0 | 0 | 0 | 0 | 0.60 | 0 | 2 | ||
4 | Tyler Tucker | D | 66 | 8 | 30 | 38 | 0 | 130 | 20 | 246 | 81 | 39 | 58 | 9.88% | 104 | 22.51 | 5 | 8 | 13 | 179 | 0 | 0 | 0 | 173 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
5 | Josh Dunne | C | 66 | 13 | 18 | 31 | 1 | 43 | 5 | 140 | 150 | 39 | 120 | 8.67% | 13 | 15.03 | 1 | 2 | 3 | 31 | 0 | 0 | 0 | 0 | 2 | 1 | 52.99% | 685 | 0 | 0 | 1 | 0 | 0.63 | 0 | 0 | ||
6 | Ben Hemmerling | RW | 61 | 12 | 15 | 27 | -9 | 74 | 0 | 183 | 143 | 55 | 128 | 8.39% | 10 | 18.56 | 2 | 3 | 5 | 152 | 0 | 0 | 0 | 78 | 0 | 0 | 46.15% | 921 | 0 | 0 | 0 | 0 | 0.48 | 1 | 3 | ||
7 | Matt Irwin | D | 57 | 5 | 21 | 26 | 4 | 13 | 5 | 39 | 81 | 26 | 46 | 6.17% | 97 | 22.99 | 3 | 4 | 7 | 151 | 0 | 1 | 1 | 183 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
8 | Nikita Alexandrov | C | 66 | 10 | 16 | 26 | 0 | 6 | 0 | 34 | 144 | 28 | 96 | 6.94% | 9 | 14.88 | 0 | 0 | 0 | 71 | 0 | 0 | 0 | 87 | 0 | 1 | 53.43% | 1005 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
9 | Connor Punnett | D | 66 | 3 | 23 | 26 | 3 | 101 | 5 | 250 | 98 | 40 | 57 | 3.06% | 88 | 22.07 | 2 | 7 | 9 | 198 | 0 | 0 | 0 | 180 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
10 | Parker Ford | C/RW | 66 | 9 | 17 | 26 | 3 | 16 | 0 | 57 | 119 | 33 | 87 | 7.56% | 7 | 11.77 | 1 | 4 | 5 | 98 | 0 | 0 | 0 | 15 | 0 | 0 | 54.49% | 468 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
11 | Cole Clayton | D | 63 | 5 | 18 | 23 | 10 | 22 | 0 | 79 | 43 | 7 | 34 | 11.63% | 65 | 16.47 | 1 | 0 | 1 | 25 | 0 | 0 | 0 | 46 | 0 | 1 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
12 | Zach Metsa | D | 66 | 7 | 15 | 22 | -9 | 10 | 0 | 37 | 66 | 32 | 55 | 10.61% | 88 | 20.15 | 3 | 6 | 9 | 175 | 0 | 0 | 0 | 184 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
13 | Max Willman | C | 57 | 11 | 10 | 21 | 1 | 16 | 0 | 35 | 85 | 22 | 53 | 12.94% | 4 | 13.67 | 5 | 3 | 8 | 103 | 0 | 0 | 0 | 89 | 4 | 0 | 44.96% | 516 | 0 | 0 | 0 | 0 | 0.54 | 0 | 1 | ||
14 | Carter Mazur | LW | 57 | 11 | 10 | 21 | 5 | 22 | 0 | 72 | 95 | 24 | 79 | 11.58% | 6 | 11.75 | 1 | 1 | 2 | 68 | 0 | 0 | 0 | 23 | 1 | 0 | 37.21% | 86 | 0 | 0 | 0 | 0 | 0.63 | 0 | 1 | ||
15 | Ilya Solovyov | D | 66 | 5 | 12 | 17 | -1 | 34 | 0 | 107 | 42 | 10 | 22 | 11.90% | 75 | 16.57 | 0 | 1 | 1 | 51 | 0 | 0 | 0 | 88 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
16 | Collin Graf | C/RW | 26 | 3 | 12 | 15 | 0 | 6 | 0 | 9 | 78 | 19 | 59 | 3.85% | 16 | 21.20 | 1 | 2 | 3 | 54 | 0 | 0 | 0 | 50 | 0 | 0 | 44.08% | 152 | 0 | 0 | 0 | 0 | 0.54 | 0 | 1 | ||
17 | Jansen Harkins | C/LW | 63 | 4 | 4 | 8 | -3 | 4 | 0 | 26 | 57 | 16 | 39 | 7.02% | 11 | 7.72 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 90 | 1 | 0 | 44.60% | 139 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
18 | Jonathan Gruden | LW | 43 | 2 | 6 | 8 | 1 | 10 | 0 | 38 | 39 | 15 | 34 | 5.13% | 7 | 7.36 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 1 | 0 | 32.00% | 25 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
19 | Matthew Phillips | C/LW | 21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 4 | 0 | 5 | 50.00% | 1 | 2.76 | 0 | 0 | 0 | 5 | 1 | 0 | 1 | 10 | 0 | 1 | 37.50% | 16 | 0 | 0 | 1 | 0 | 0.69 | 0 | 0 | ||
20 | Joey Keane | D | 3 | 0 | 1 | 1 | -1 | 4 | 0 | 3 | 0 | 1 | 0 | 0.00% | 1 | 16.43 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
21 | Cole Schwindt | C/RW | 20 | 1 | 0 | 1 | 2 | 0 | 0 | 3 | 13 | 1 | 3 | 7.69% | 0 | 2.73 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
22 | Hunter Skinner | D | 6 | 0 | 1 | 1 | -1 | 6 | 0 | 7 | 3 | 3 | 3 | 0.00% | 8 | 17.06 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
23 | Henry Thrun | D | 3 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 3 | 1 | 4 | 33.33% | 4 | 16.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
24 | Luca Del Bel Belluz | C | 10 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 7 | 1 | 4 | 0.00% | 0 | 5.19 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 44.62% | 65 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
25 | Eduards Tralmaks | C/LW/RW | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0.58 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
26 | Joe Carroll | LW | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.07 | 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 | 1180 | 158 | 307 | 465 | 19 | 585 | 35 | 1617 | 1845 | 558 | 1353 | 8.56% | 654 | 15.56 | 33 | 63 | 96 | 1883 | 2 | 2 | 4 | 1663 | 27 | 12 | 50.08% | 5188 | 0 | 0 | 2 | 0 | 0.51 | 2 | 9 |
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 | Artur Akhtyamov | 13 | 8 | 5 | 0 | 0.918 | 2.70 | 777 | 2 | 1 | 35 | 425 | 0 | 1 | 1 | 0.000 | 0 | 13 | 3 | 1 | 0 | 1 | |
2 | Pavel Cajan | 9 | 7 | 2 | 0 | 0.926 | 2.52 | 500 | 0 | 2 | 21 | 282 | 0 | 0 | 0 | 1.000 | 4 | 9 | 11 | 4 | 0 | 0 | |
3 | Leevi Merilainen | 1 | 0 | 0 | 0 | 0.951 | 2.73 | 44 | 0 | 0 | 2 | 41 | 0 | 0 | 0 | 0.000 | 0 | 0 | 20 | 0 | 0 | 0 | |
Team Total or Average | 23 | 15 | 7 | 0 | 0.922 | 2.63 | 1322 | 2 | 3 | 58 | 748 | 0 | 1 | 1 | 1.000 | 4 | 22 | 34 | 5 | 0 | 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$ | 925,000$ | UFA | |||||
Anton Blidh | LW/RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Artur Akhtyamov | G | 23 | 851,667$ | 851,667$ | 851,667$ | ||||||
Ben Hemmerling | RW | 20 | 844,167$ | 844,167$ | 844,167$ | RFA | |||||
Carl Berglund | C/RW | 25 | 950,000$ | 950,000$ | |||||||
Carter Mazur | LW | 23 | 905,833$ | 905,833$ | 905,833$ | ||||||
Cole Clayton | D | 25 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Cole Schwindt | C/RW | 23 | 875,000$ | 875,000$ | 875,000$ | ||||||
Collin Graf | C/RW | 22 | 941,667$ | 941,667$ | 941,667$ | RFA | |||||
Connor Punnett | D | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Eduards Tralmaks | C/LW/RW | 28 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Henry Thrun | D | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
Hunter Skinner | D | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Ilya Solovyov | D | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
Jansen Harkins | C/LW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Joe Carroll | LW | 24 | 775,000$ | 775,000$ | |||||||
Joey Keane | D | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
Jonathan Gruden | LW | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
Josh Dunne | C | 26 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Justin Ducharme | LW/RW | 25 | 850,000$ | 850,000$ | |||||||
Leevi Merilainen | G | 22 | 820,000$ | 820,000$ | RFA | ||||||
Luca Del Bel Belluz | C | 21 | 891,667$ | 891,667$ | 891,667$ | RFA | |||||
Lukas Parik | G | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Mackie Samoskevich | C/RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Mathias Emilio Pettersen | C/LW | 24 | 875,000$ | 875,000$ | 875,000$ | ||||||
Matt Irwin | D | 37 | 775,000$ | 775,000$ | UFA | ||||||
Matthew Phillips | C/LW | 26 | 1,000,000$ | 1,000,000$ | |||||||
Max Willman | C | 30 | 800,000$ | 800,000$ | UFA | ||||||
Nikita Alexandrov | C | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
Oskar Olausson | LW/RW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Parker Ford | C | 24 | 867,500$ | 867,500$ | |||||||
Parker Ford | C/RW | 24 | 867,500$ | 867,500$ | |||||||
Pavel Cajan | G | 22 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Samuel Harvey | G | 27 | 0$ | UFA | |||||||
Tyler Tucker | D | 25 | 950,000$ | 950,000$ | |||||||
Zach Metsa | D | 26 | 775,000$ | 775,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 59 | 64 | 54 | 4 | 45 | 664 | 680 | 659 | 25 | 91 | 16 | 19 | 57 | 9 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 33.3% | 6.7% | 93.4% | 100.1 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 59 | 64 | 54 | 4 | 16 | 664 | 680 | 659 | 25 | 36 | 8 | 2 | 17 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 0.0% | 6.3% | 94.4% | 100.7 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 59 | 64 | 54 | 4 | 24 | 664 | 680 | 659 | 25 | 36 | 9 | 14 | 19 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 25.0% | 4.2% | 91.7% | 95.8 | DULL | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 59 | 64 | 54 | 4 | 75 | 664 | 680 | 659 | 25 | 55 | 14 | 33 | 46 | 8 | 2 | 25.00% | 8 | 0 | 100.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 75.0% | 14.7% | 94.5% | 109.2 | LUCKY | |
5 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 5 | 9 | 8 | 1.000 | 14 | 27 | 41 | 0 | 1 | 59 | 64 | 54 | 4 | 135 | 664 | 680 | 659 | 25 | 97 | 41 | 38 | 97 | 25 | 7 | 28.00% | 19 | 1 | 94.74% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 63.6% | 10.4% | 94.8% | 105.2 | LUCKY | |
6 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.333 | 5 | 10 | 15 | 0 | 0 | 59 | 64 | 54 | 4 | 100 | 664 | 680 | 659 | 25 | 89 | 24 | 30 | 61 | 11 | 1 | 9.09% | 15 | 3 | 80.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 50.0% | 5.0% | 92.1% | 97.1 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 59 | 64 | 54 | 4 | 20 | 664 | 680 | 659 | 25 | 29 | 6 | 10 | 25 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 0.0% | 0.0% | 93.1% | 93.1 | DULL | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 59 | 64 | 54 | 4 | 28 | 664 | 680 | 659 | 25 | 44 | 17 | 12 | 22 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 33.3% | 7.1% | 93.2% | 100.3 | DULL | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 59 | 64 | 54 | 4 | 48 | 664 | 680 | 659 | 25 | 30 | 6 | 8 | 31 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 75.0% | 8.3% | 93.3% | 101.7 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 59 | 64 | 54 | 4 | 22 | 664 | 680 | 659 | 25 | 27 | 12 | 6 | 17 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 40.0% | 9.1% | 88.9% | 98.0 | FUN | |
11 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 12 | 3 | 6 | 0.750 | 15 | 28 | 43 | 0 | 0 | 59 | 64 | 54 | 4 | 133 | 664 | 680 | 659 | 25 | 130 | 52 | 34 | 95 | 11 | 4 | 36.36% | 14 | 3 | 78.57% | 1 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 55.0% | 11.3% | 90.8% | 102.0 | FUN | |
12 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 0.667 | 9 | 16 | 25 | 0 | 1 | 59 | 64 | 54 | 4 | 88 | 664 | 680 | 659 | 25 | 87 | 39 | 18 | 79 | 12 | 3 | 25.00% | 8 | 1 | 87.50% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 60.0% | 10.2% | 94.3% | 104.5 | LUCKY | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 59 | 64 | 54 | 4 | 72 | 664 | 680 | 659 | 25 | 49 | 22 | 18 | 51 | 13 | 2 | 15.38% | 8 | 0 | 100.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 62.5% | 9.7% | 93.9% | 103.6 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 59 | 64 | 54 | 4 | 24 | 664 | 680 | 659 | 25 | 37 | 10 | 20 | 21 | 3 | 1 | 33.33% | 10 | 1 | 90.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 66.7% | 20.8% | 91.9% | 112.7 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 59 | 64 | 54 | 4 | 60 | 664 | 680 | 659 | 25 | 66 | 18 | 10 | 60 | 10 | 1 | 10.00% | 5 | 4 | 20.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 60.0% | 11.7% | 87.9% | 99.5 | FUN | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 10 | 17 | 0 | 1 | 59 | 64 | 54 | 4 | 66 | 664 | 680 | 659 | 25 | 73 | 19 | 24 | 54 | 8 | 1 | 12.50% | 12 | 2 | 83.33% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 85.7% | 10.6% | 95.9% | 106.5 | LUCKY | |
17 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 10 | -4 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 59 | 64 | 54 | 4 | 51 | 664 | 680 | 659 | 25 | 71 | 26 | 24 | 34 | 3 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 40.0% | 11.8% | 85.9% | 97.7 | FUN | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 59 | 64 | 54 | 4 | 49 | 664 | 680 | 659 | 25 | 25 | 12 | 8 | 24 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 1 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 66.7% | 10.2% | 88.0% | 98.2 | FUN | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 59 | 64 | 54 | 4 | 34 | 664 | 680 | 659 | 25 | 30 | 12 | 4 | 26 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 50.0% | 5.9% | 90.0% | 95.9 | Unlucky | |
20 | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 18 | 6 | 12 | 8 | 1.000 | 18 | 32 | 50 | 0 | 0 | 59 | 64 | 54 | 4 | 132 | 664 | 680 | 659 | 25 | 109 | 27 | 33 | 98 | 12 | 1 | 8.33% | 6 | 1 | 83.33% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 77.3% | 13.6% | 94.5% | 108.1 | LUCKY | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 59 | 64 | 54 | 4 | 34 | 664 | 680 | 659 | 25 | 28 | 9 | 10 | 24 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 60.0% | 8.8% | 92.9% | 101.7 | DULL | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 59 | 64 | 54 | 4 | 50 | 664 | 680 | 659 | 25 | 87 | 30 | 29 | 63 | 5 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 37.5% | 6.0% | 92.0% | 98.0 | DULL | |
23 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 2 | 0.250 | 8 | 14 | 22 | 0 | 0 | 59 | 64 | 54 | 4 | 123 | 664 | 680 | 659 | 25 | 124 | 33 | 26 | 106 | 13 | 2 | 15.38% | 12 | 5 | 58.33% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 40.0% | 6.5% | 88.7% | 95.2 | Unlucky | |
24 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 9 | 14 | -5 | 2 | 0.333 | 9 | 14 | 23 | 0 | 0 | 59 | 64 | 54 | 4 | 80 | 664 | 680 | 659 | 25 | 139 | 27 | 25 | 93 | 7 | 2 | 28.57% | 9 | 2 | 77.78% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 36.8% | 11.3% | 89.9% | 101.2 | FUN | |
25 | 6 | 0 | 5 | 0 | 0 | 0 | 0 | 1 | 6 | 21 | -15 | 1 | 0.083 | 6 | 12 | 18 | 1 | 0 | 59 | 64 | 54 | 4 | 173 | 664 | 680 | 659 | 25 | 201 | 47 | 56 | 150 | 16 | 0 | 0.00% | 26 | 4 | 84.62% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 26.1% | 3.5% | 89.6% | 93.0 | Unlucky | |
26 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 14 | -9 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 59 | 64 | 54 | 4 | 89 | 664 | 680 | 659 | 25 | 104 | 35 | 16 | 75 | 11 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 29.4% | 5.6% | 86.5% | 92.2 | Unlucky | |
27 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 4 | 0.667 | 6 | 10 | 16 | 0 | 1 | 59 | 64 | 54 | 4 | 79 | 664 | 680 | 659 | 25 | 97 | 40 | 16 | 74 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 45.5% | 7.6% | 91.8% | 99.3 | DULL | |
28 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 59 | 64 | 54 | 4 | 36 | 664 | 680 | 659 | 25 | 28 | 9 | 12 | 27 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 100.0% | 13.9% | 96.4% | 110.3 | LUCKY | |
29 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 11 | 0 | 5 | 0.625 | 11 | 17 | 28 | 0 | 0 | 59 | 64 | 54 | 4 | 132 | 664 | 680 | 659 | 25 | 137 | 41 | 42 | 100 | 9 | 2 | 22.22% | 19 | 4 | 78.95% | 0 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 56.3% | 8.3% | 92.0% | 100.3 | DULL | |
_Vs Division | 25 | 13 | 12 | 0 | 1 | 1 | 1 | 1 | 65 | 73 | -8 | 32 | 0.640 | 65 | 116 | 181 | 1 | 1 | 59 | 64 | 54 | 4 | 778 | 664 | 680 | 659 | 25 | 797 | 228 | 227 | 598 | 74 | 9 | 12.16% | 95 | 19 | 80.00% | 1 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 50.9% | 8.4% | 90.8% | 99.2 | Unlucky | |
_Vs Conference | 47 | 21 | 20 | 0 | 1 | 2 | 2 | 1 | 129 | 131 | -2 | 51 | 0.543 | 129 | 233 | 362 | 2 | 3 | 59 | 64 | 54 | 4 | 1439 | 664 | 680 | 659 | 25 | 1515 | 462 | 401 | 1182 | 164 | 28 | 17.07% | 171 | 32 | 81.29% | 1 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 50.5% | 9.0% | 91.4% | 100.3 | LUCKY | |
_Since Last GM Reset | 66 | 29 | 31 | 0 | 1 | 2 | 2 | 1 | 180 | 184 | -4 | 67 | 0.508 | 180 | 322 | 502 | 4 | 4 | 59 | 64 | 54 | 4 | 2018 | 664 | 680 | 659 | 25 | 2156 | 661 | 597 | 1646 | 229 | 36 | 15.72% | 255 | 43 | 83.14% | 2 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 50.5% | 8.9% | 91.5% | 100.4 | Unlucky | |
Total | 66 | 29 | 31 | 0 | 1 | 2 | 2 | 1 | 180 | 184 | -4 | 67 | 0.508 | 180 | 322 | 502 | 4 | 4 | 59 | 64 | 54 | 4 | 2018 | 664 | 680 | 659 | 25 | 2156 | 661 | 597 | 1646 | 229 | 36 | 15.72% | 255 | 43 | 83.14% | 2 | 1185 | 2319 | 51.10% | 1255 | 2454 | 51.14% | 488 | 990 | 49.29% | 1508 | 997 | 1593 | 523 | 883 | 429 | 50.5% | 8.9% | 91.5% | 100.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2319 |
Neutral Zone Start | 990 |
Defensive Zone Start | 2454 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2928 |
Faceoffs Lost | 2835 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 20.4 | 20.31 |
3rd Period | 30.3 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 138 |
---|---|
PP Goal | 36 |
PK Goal | 2 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 21 | 11 |
Lost | 11 | 20 |
Overtime Lost | 1 | 2 |
PP Attempt | 229 |
---|---|
PP Goal | 36 |
PK Attempt | 255 |
PK Goal Against | 43 |
Home | |
---|---|
Shots For | 30.6 |
Shots Against | 32.7 |
Goals For | 2.7 |
Goals Against | 2.8 |
Hits | 24.9 |
Shots Blocked | 10.0 |
Pim | 9.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-06 | @ | Admirals1,Stars4 | RECAP | |||||||||||
2024-10-10 | @ | Eagles3,Admirals1 | RECAP | |||||||||||
2024-10-12 | @ | Firebirds2,Admirals3 | RECAP | |||||||||||
2024-10-14 | @ | Admirals2,Canucks3 | RECAP | |||||||||||
2024-10-15 | @ | Admirals1,Stars4 | RECAP | |||||||||||
2024-10-18 | @ | Admirals2,Marlies5 | RECAP | |||||||||||
2024-10-20 | @ | IceHogs1,Admirals6 | RECAP | |||||||||||
2024-10-22 | @ | Admirals0,Stars3 | RECAP | |||||||||||
2024-10-25 | @ | Islanders1,Admirals6 | RECAP | |||||||||||
2024-10-28 | @ | Admirals3,Firebirds4 (OT) | RECAP | |||||||||||
2024-10-29 | @ | Wolves2,Admirals4 | RECAP | |||||||||||
2024-10-31 | @ | Admirals3,Moose4 | RECAP | |||||||||||
2024-11-02 | @ | Moose3,Admirals1 | RECAP | |||||||||||
2024-11-04 | @ | Stars3,Admirals2 (SO) | RECAP | |||||||||||
2024-11-08 | @ | Admirals2,Condors5 | RECAP | |||||||||||
2024-11-11 | @ | Griffins3,Admirals2 | RECAP | |||||||||||
2024-11-13 | @ | Marlies4,Admirals1 | RECAP | |||||||||||
2024-11-14 | @ | Admirals4,Wild5 | RECAP | |||||||||||
2024-11-16 | @ | Admirals3,Reign2 | RECAP | |||||||||||
2024-11-18 | @ | Checkers2,Admirals3 | RECAP | |||||||||||
2024-11-22 | @ | Admirals1,Monsters2 | RECAP | |||||||||||
2024-11-23 | @ | Eagles1,Admirals2 (OT) | RECAP | |||||||||||
2024-11-25 | @ | Admirals5,Silver Knights1 | RECAP | |||||||||||
2024-11-27 | @ | Wild2,Admirals4 | RECAP | |||||||||||
2024-12-01 | @ | Reign1,Admirals4 | RECAP | |||||||||||
2024-12-04 | @ | Admirals1,Stars2 | RECAP | |||||||||||
2024-12-06 | @ | Crunch3,Admirals5 | RECAP | |||||||||||
2024-12-12 | @ | IceHogs2,Admirals4 | RECAP | |||||||||||
2024-12-14 | @ | Admirals1,Phantoms2 | RECAP | |||||||||||
2024-12-18 | @ | Islanders2,Admirals5 | RECAP | |||||||||||
2024-12-23 | @ | Condors3,Admirals5 | RECAP | |||||||||||
2024-12-27 | @ | Admirals1,Senators3 | RECAP | |||||||||||
2024-12-28 | @ | Wolves1,Admirals4 | RECAP | |||||||||||
2024-12-31 | @ | Admirals3,IceHogs2 (SO) | RECAP | |||||||||||
2025-01-02 | @ | Monsters5,Admirals2 | RECAP | |||||||||||
2025-01-04 | @ | Admirals4,Roadrunners5 (OT) | RECAP | |||||||||||
2025-01-06 | @ | Admirals3,Canucks2 | RECAP | |||||||||||
2025-01-08 | @ | Gulls4,Admirals5 (SO) | RECAP | |||||||||||
2025-01-09 | @ | Admirals2,Wild1 | RECAP | |||||||||||
2025-01-12 | @ | Wranglers4,Admirals2 | RECAP | |||||||||||
2025-01-16 | @ | Thunderbirds3,Admirals5 | RECAP | |||||||||||
2025-01-23 | @ | Firebirds2,Admirals3 | RECAP | |||||||||||
2025-01-24 | @ | Admirals5,IceHogs1 | RECAP | |||||||||||
2025-01-26 | @ | Barracuda2,Admirals3 | RECAP | |||||||||||
2025-01-29 | @ | Admirals1,Wranglers2 | RECAP | |||||||||||
2025-01-31 | @ | Barracuda6,Admirals2 | RECAP | |||||||||||
2025-02-02 | @ | Admirals0,Wolf Pack2 | RECAP | |||||||||||
2025-02-04 | @ | Thunderbirds0,Admirals2 | RECAP | |||||||||||
2025-02-06 | @ | Admirals3,Gulls6 | RECAP | |||||||||||
2025-02-09 | @ | Admirals2,Moose1 | RECAP | |||||||||||
2025-02-11 | @ | Wild4,Admirals5 | RECAP | |||||||||||
2025-02-12 | @ | Admirals2,Marlies5 | RECAP | |||||||||||
2025-02-14 | @ | Bears3,Admirals2 | RECAP | |||||||||||
2025-02-16 | @ | Admirals3,Wolves0 | RECAP | |||||||||||
2025-02-20 | @ | Roadrunners5,Admirals2 | RECAP | |||||||||||
2025-02-22 | @ | Admirals2,Americans3 | RECAP | |||||||||||
2025-02-24 | @ | Admirals1,Gulls4 | RECAP | |||||||||||
2025-02-25 | @ | Admirals1,Barracuda0 | RECAP | |||||||||||
2025-02-26 | @ | Canucks0,Admirals4 | RECAP | |||||||||||
2025-03-01 | @ | Admirals2,Firebirds3 | RECAP | |||||||||||
2025-03-02 | @ | Moose6,Admirals2 | RECAP | |||||||||||
2025-03-06 | @ | Bruins3,Admirals5 | RECAP | |||||||||||
2025-03-07 | @ | Admirals3,Wolves2 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-13 | @ | Admirals4,Rocket2 | RECAP | |||||||||||
2025-03-14 | @ | Stars5,Admirals1 | RECAP | |||||||||||
2025-03-16 | @ | Admirals2,Eagles3 | RECAP | |||||||||||
2025-03-19 | @ | |||||||||||||
2025-03-21 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-26 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-03-31 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,020,584$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | 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 |
3 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,020,584$ | 3,020,584$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,988,695$ | 16,597$ | 2,538,164$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 32 | 19,344$ | 348,192$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
348,192$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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