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Full Scoreboard »» |
Milwaukee Admirals 23-18-3, 49pts · 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 | LW/RW | 100.00 | 65 | 33 | 86 | 56 | 78 | 74 | 79 | 62 | 74 | 63 | 63 | 62 | 63 | 67 | 66 | 0 | 55 | 72 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | C/RW | 98.00 | 64 | 33 | 99 | 61 | 77 | 83 | 66 | 58 | 56 | 66 | 50 | 73 | 54 | 61 | 61 | 0 | 36 | 71 | 22 | 941,667$/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 | 34 | 69 | 29 | 800,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 38 | 88 | 61 | 73 | 68 | 75 | 58 | 66 | 60 | 59 | 61 | 60 | 59 | 58 | 0 | 38 | 69 | 22 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 81 | 40 | 63 | 66 | 68 | 69 | 86 | 63 | 63 | 58 | 54 | 60 | 64 | 56 | 52 | 0 | 54 | 69 | 20 | 844,167$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 36 | 83 | 55 | 73 | 70 | 75 | 55 | 59 | 57 | 56 | 58 | 55 | 70 | 68 | 0 | 42 | 68 | 27 | 1,000,000$/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$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 40 | 87 | 50 | 85 | 62 | 70 | 64 | 74 | 49 | 53 | 68 | 51 | 68 | 67 | 0 | 24 | 67 | 27 | 900,000$/2yrs | |||
![]() | 0 | D | 99.00 | 78 | 49 | 80 | 55 | 80 | 77 | 74 | 53 | 30 | 55 | 55 | 64 | 54 | 87 | 85 | 0 | 29 | 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 | 46 | 69 | 24 | 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 | 57 | 65 | 24 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 40 | 76 | 46 | 83 | 61 | 84 | 46 | 30 | 51 | 49 | 65 | 50 | 62 | 60 | 0 | 58 | 64 | 24 | 900,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 89.43 | 70 | 39 | 75 | 58 | 68 | 65 | 77 | 59 | 47 | 55 | 59 | 62 | 57 | 59 | 57 | 0 | 40 | 68 | 22 | 905,833$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 55 | 30 | 97 | 55 | 52 | 72 | 70 | 56 | 59 | 59 | 54 | 55 | 55 | 68 | 68 | 0 | 26 | 67 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 64 | 39 | 84 | 56 | 79 | 64 | 88 | 60 | 70 | 55 | 55 | 63 | 55 | 61 | 59 | 0 | 20 | 67 | 23 | 875,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 82 | 47 | 89 | 55 | 68 | 69 | 67 | 52 | 30 | 50 | 58 | 67 | 55 | 65 | 64 | 0 | 34 | 67 | 24 | 850,000$/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$/2yrs | |||
![]() | 0 | LW | 100.00 | 72 | 40 | 71 | 54 | 79 | 63 | 77 | 60 | 35 | 52 | 55 | 64 | 54 | 61 | 58 | 0 | 19 | 67 | 24 | 775,000$/1yrs | |||
![]() | 0 | 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$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 33 | 86 | 55 | 78 | 66 | 67 | 51 | 30 | 50 | 50 | 52 | 50 | 73 | 72 | 0 | 19 | 64 | 29 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 41 | 55 | 49 | 70 | 59 | 66 | 62 | 48 | 51 | 45 | 65 | 48 | 62 | 58 | 0 | 19 | 64 | 24 | 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 | |||
![]() | 83 | D | 100.00 | 86 | 42 | 50 | 46 | 74 | 59 | 78 | 45 | 30 | 51 | 47 | 64 | 49 | 61 | 56 | 0 | 21 | 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 | 75 | 75 | 72 | 73 | 78 | 76 | 75 | 75 | 76 | 77 | 75 | 60 | 61 | 0 | 55 | 78 | 22 | 925,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 96.00 | 80 | 84 | 75 | 70 | 88 | 77 | 80 | 80 | 77 | 78 | 79 | 61 | 62 | 0 | 26 | 81 | 23 | 851,667$/2yrs |
![]() | 0 | 100.00 | 73 | 77 | 69 | 75 | 72 | 74 | 72 | 73 | 74 | 74 | 73 | 60 | 61 | 0 | 31 | 76 | 22 | 775,000$/2yrs |
![]() | 0 | 100.00 | 71 | 67 | 66 | 71 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 64 | 71 | 0 | 25 | 74 | 27 | |
![]() | 0 | 100.00 | 75 | 61 | 65 | 67 | 61 | 77 | 66 | 69 | 77 | 71 | 66 | 61 | 64 | 0 | 34 | 73 | 22 | 820,000$/1yrs |
![]() | 0 | 100.00 | 65 | 66 | 68 | 89 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 61 | 65 | 0 | 23 | 71 | 23 | 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 | 40 | 7 | 24 | 31 | 9 | 8 | 0 | 11 | 107 | 39 | 80 | 6.54% | 6 | 19.94 | 1 | 7 | 8 | 85 | 0 | 0 | 0 | 101 | 0 | 1 | 53.71% | 229 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | ||
2 | A.J. Greer | LW/RW | 44 | 13 | 17 | 30 | 6 | 30 | 0 | 108 | 92 | 28 | 70 | 14.13% | 8 | 18.65 | 4 | 2 | 6 | 110 | 0 | 0 | 0 | 94 | 5 | 2 | 50.08% | 601 | 0 | 0 | 0 | 0 | 0.73 | 0 | 2 | ||
3 | Tyler Tucker | D | 44 | 5 | 23 | 28 | 10 | 93 | 15 | 168 | 61 | 29 | 35 | 8.20% | 67 | 23.38 | 3 | 6 | 9 | 127 | 0 | 0 | 0 | 115 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
4 | Mathias Emilio Pettersen | C/LW | 43 | 16 | 10 | 26 | 7 | 10 | 0 | 29 | 120 | 35 | 74 | 13.33% | 6 | 16.24 | 2 | 3 | 5 | 103 | 0 | 0 | 0 | 13 | 6 | 1 | 47.30% | 74 | 0 | 0 | 0 | 0 | 0.74 | 1 | 1 | ||
5 | Josh Dunne | C | 44 | 10 | 11 | 21 | 9 | 27 | 5 | 86 | 104 | 23 | 84 | 9.62% | 7 | 13.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 50.78% | 193 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
6 | Nikita Alexandrov | C | 44 | 8 | 12 | 20 | 4 | 4 | 0 | 26 | 102 | 18 | 66 | 7.84% | 6 | 15.53 | 0 | 0 | 0 | 71 | 0 | 0 | 0 | 82 | 0 | 1 | 53.57% | 659 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
7 | Connor Punnett | D | 44 | 1 | 18 | 19 | 2 | 59 | 5 | 164 | 66 | 29 | 35 | 1.52% | 52 | 21.70 | 1 | 6 | 7 | 140 | 0 | 0 | 0 | 128 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
8 | Parker Ford | C/RW | 44 | 7 | 12 | 19 | 11 | 10 | 0 | 34 | 77 | 18 | 42 | 9.09% | 3 | 9.42 | 1 | 4 | 5 | 73 | 0 | 0 | 0 | 0 | 0 | 0 | 56.88% | 385 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | ||
9 | Matt Irwin | D | 38 | 3 | 15 | 18 | 5 | 7 | 5 | 22 | 56 | 20 | 31 | 5.36% | 61 | 23.21 | 3 | 2 | 5 | 109 | 0 | 1 | 1 | 128 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
10 | Cole Clayton | D | 44 | 3 | 15 | 18 | 10 | 16 | 0 | 38 | 31 | 4 | 30 | 9.68% | 54 | 16.82 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 36 | 0 | 1 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
11 | Carter Mazur | LW | 43 | 9 | 9 | 18 | 4 | 16 | 0 | 62 | 86 | 21 | 69 | 10.47% | 6 | 13.85 | 1 | 1 | 2 | 68 | 0 | 0 | 0 | 23 | 1 | 0 | 35.44% | 79 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 | ||
12 | Ben Hemmerling | RW | 41 | 9 | 9 | 18 | -7 | 58 | 0 | 129 | 96 | 34 | 77 | 9.38% | 5 | 19.07 | 1 | 2 | 3 | 116 | 0 | 0 | 0 | 49 | 0 | 0 | 46.30% | 784 | 0 | 0 | 0 | 0 | 0.46 | 1 | 3 | ||
13 | Pontus Holmberg | LW/RW | 31 | 7 | 9 | 16 | -5 | 4 | 0 | 11 | 93 | 27 | 68 | 7.53% | 3 | 19.24 | 0 | 3 | 3 | 63 | 0 | 0 | 0 | 60 | 1 | 1 | 55.21% | 326 | 0 | 0 | 0 | 0 | 0.54 | 1 | 1 | ||
14 | Max Willman | C | 39 | 8 | 7 | 15 | 2 | 6 | 0 | 19 | 55 | 16 | 30 | 14.55% | 2 | 11.95 | 3 | 2 | 5 | 71 | 0 | 0 | 0 | 70 | 3 | 0 | 45.57% | 305 | 0 | 0 | 0 | 0 | 0.64 | 0 | 1 | ||
15 | Zach Metsa | D | 44 | 5 | 8 | 13 | 1 | 6 | 0 | 31 | 47 | 20 | 34 | 10.64% | 58 | 19.82 | 1 | 3 | 4 | 123 | 0 | 0 | 0 | 119 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
16 | Ilya Solovyov | D | 44 | 2 | 10 | 12 | 1 | 28 | 0 | 77 | 24 | 6 | 12 | 8.33% | 48 | 16.05 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
17 | Collin Graf | C/RW | 9 | 1 | 9 | 10 | 7 | 2 | 0 | 3 | 25 | 5 | 28 | 4.00% | 7 | 22.87 | 0 | 1 | 1 | 22 | 0 | 0 | 0 | 23 | 0 | 0 | 37.97% | 79 | 0 | 0 | 0 | 0 | 0.97 | 0 | 1 | ||
18 | Jonathan Gruden | LW | 23 | 2 | 6 | 8 | 1 | 10 | 0 | 36 | 38 | 15 | 34 | 5.26% | 7 | 13.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 32.00% | 25 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
19 | Jansen Harkins | C/LW | 41 | 3 | 4 | 7 | -4 | 4 | 0 | 23 | 51 | 12 | 32 | 5.88% | 8 | 10.11 | 0 | 0 | 0 | 22 | 0 | 0 | 0 | 54 | 0 | 0 | 42.42% | 99 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
20 | 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 | ||
21 | Cole Schwindt | C/RW | 13 | 1 | 0 | 1 | 2 | 0 | 0 | 2 | 11 | 1 | 3 | 9.09% | 0 | 3.59 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.43 | 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 | 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 | ||
24 | Eduards Tralmaks | C/LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
25 | Joe Carroll | LW | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.10 | 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 | 814 | 122 | 230 | 352 | 73 | 404 | 30 | 1086 | 1356 | 404 | 946 | 9.00% | 423 | 15.76 | 21 | 42 | 63 | 1387 | 1 | 1 | 2 | 1169 | 21 | 9 | 49.91% | 3923 | 0 | 0 | 1 | 0 | 0.55 | 3 | 10 |
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 | Drew Commesso | 24 | 10 | 13 | 1 | 0.906 | 2.96 | 1418 | 2 | 0 | 70 | 746 | 0 | 0 | 2 | 1.000 | 2 | 24 | 17 | 0 | 1 | 0 | |
2 | Artur Akhtyamov | 5 | 4 | 1 | 0 | 0.938 | 2.21 | 299 | 0 | 0 | 11 | 177 | 0 | 1 | 1 | 0.000 | 0 | 5 | 0 | 0 | 0 | 1 | |
3 | Pavel Cajan | 3 | 3 | 0 | 0 | 0.925 | 2.27 | 185 | 0 | 0 | 7 | 93 | 0 | 0 | 0 | 1.000 | 4 | 3 | 8 | 1 | 0 | 0 | |
Team Total or Average | 32 | 17 | 14 | 1 | 0.913 | 2.78 | 1902 | 2 | 0 | 88 | 1016 | 0 | 1 | 3 | 1.000 | 6 | 32 | 25 | 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$ | 925,000$ | UFA | |||||
Anton Blidh | LW/RW | 29 | 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 | 22 | 905,833$ | 905,833$ | 905,833$ | RFA | |||||
Cole Clayton | D | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
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 | ||||
Drew Commesso | G | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Eduards Tralmaks | C/LW/RW | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
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 | 24 | 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 | 23 | 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 | 29 | 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 | |||||
Pontus Holmberg | LW/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Samuel Harvey | G | 27 | 0$ | UFA | |||||||
Tyler Tucker | D | 24 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 45 | 44 | 37 | 4 | 19 | 455 | 480 | 440 | 25 | 48 | 9 | 6 | 28 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 33.3% | 10.5% | 91.7% | 102.2 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 45 | 44 | 37 | 4 | 16 | 455 | 480 | 440 | 25 | 36 | 8 | 2 | 17 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 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 | 45 | 44 | 37 | 4 | 24 | 455 | 480 | 440 | 25 | 36 | 9 | 14 | 19 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 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 | 45 | 44 | 37 | 4 | 75 | 455 | 480 | 440 | 25 | 55 | 14 | 33 | 46 | 8 | 2 | 25.00% | 8 | 0 | 100.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 75.0% | 14.7% | 94.5% | 109.2 | LUCKY | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 45 | 44 | 37 | 4 | 87 | 455 | 480 | 440 | 25 | 39 | 12 | 18 | 48 | 15 | 4 | 26.67% | 9 | 1 | 88.89% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 66.7% | 9.2% | 92.3% | 101.5 | LUCKY | |
6 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 45 | 44 | 37 | 4 | 68 | 455 | 480 | 440 | 25 | 55 | 14 | 18 | 40 | 7 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 50.0% | 4.4% | 92.7% | 97.1 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 45 | 44 | 37 | 4 | 28 | 455 | 480 | 440 | 25 | 44 | 17 | 12 | 22 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 33.3% | 7.1% | 93.2% | 100.3 | DULL | |
8 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 45 | 44 | 37 | 4 | 100 | 455 | 480 | 440 | 25 | 96 | 41 | 26 | 77 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 1 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 60.0% | 10.0% | 91.7% | 101.7 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 45 | 44 | 37 | 4 | 50 | 455 | 480 | 440 | 25 | 54 | 21 | 10 | 51 | 7 | 1 | 14.29% | 4 | 1 | 75.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 50.0% | 10.0% | 90.7% | 100.7 | FUN | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 45 | 44 | 37 | 4 | 72 | 455 | 480 | 440 | 25 | 49 | 22 | 18 | 51 | 13 | 2 | 15.38% | 8 | 0 | 100.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 62.5% | 9.7% | 93.9% | 103.6 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 45 | 44 | 37 | 4 | 24 | 455 | 480 | 440 | 25 | 37 | 10 | 20 | 21 | 3 | 1 | 33.33% | 10 | 1 | 90.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 66.7% | 20.8% | 91.9% | 112.7 | LUCKY | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 45 | 44 | 37 | 4 | 60 | 455 | 480 | 440 | 25 | 66 | 18 | 10 | 60 | 10 | 1 | 10.00% | 5 | 4 | 20.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 60.0% | 11.7% | 87.9% | 99.5 | FUN | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 45 | 44 | 37 | 4 | 37 | 455 | 480 | 440 | 25 | 26 | 7 | 14 | 20 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 80.0% | 13.5% | 88.5% | 102.0 | FUN | |
14 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 45 | 44 | 37 | 4 | 33 | 455 | 480 | 440 | 25 | 37 | 14 | 14 | 11 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 44.4% | 12.1% | 86.5% | 98.6 | FUN | |
15 | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 18 | 6 | 12 | 8 | 1.000 | 18 | 32 | 50 | 0 | 0 | 45 | 44 | 37 | 4 | 132 | 455 | 480 | 440 | 25 | 109 | 27 | 33 | 98 | 12 | 1 | 8.33% | 6 | 1 | 83.33% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 77.3% | 13.6% | 94.5% | 108.1 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 45 | 44 | 37 | 4 | 34 | 455 | 480 | 440 | 25 | 28 | 9 | 10 | 24 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 60.0% | 8.8% | 92.9% | 101.7 | DULL | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 45 | 44 | 37 | 4 | 50 | 455 | 480 | 440 | 25 | 87 | 30 | 29 | 63 | 5 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 37.5% | 6.0% | 92.0% | 98.0 | DULL | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 45 | 44 | 37 | 4 | 70 | 455 | 480 | 440 | 25 | 66 | 17 | 6 | 52 | 8 | 1 | 12.50% | 3 | 1 | 66.67% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 33.3% | 5.7% | 89.4% | 95.1 | Unlucky | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 6 | 11 | 0 | 0 | 45 | 44 | 37 | 4 | 25 | 455 | 480 | 440 | 25 | 29 | 6 | 9 | 28 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 57.1% | 20.0% | 86.2% | 106.2 | FUN | |
20 | 5 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 5 | 16 | -11 | 1 | 0.100 | 5 | 10 | 15 | 1 | 0 | 45 | 44 | 37 | 4 | 155 | 455 | 480 | 440 | 25 | 165 | 39 | 48 | 139 | 14 | 0 | 0.00% | 24 | 4 | 83.33% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 29.4% | 3.2% | 90.3% | 93.5 | Unlucky | |
21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 45 | 44 | 37 | 4 | 58 | 455 | 480 | 440 | 25 | 68 | 24 | 10 | 55 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 27.3% | 5.2% | 86.8% | 91.9 | Unlucky | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 45 | 44 | 37 | 4 | 31 | 455 | 480 | 440 | 25 | 34 | 15 | 4 | 24 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 66.7% | 9.7% | 94.1% | 103.8 | LUCKY | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 45 | 44 | 37 | 4 | 36 | 455 | 480 | 440 | 25 | 28 | 9 | 12 | 27 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 100.0% | 13.9% | 96.4% | 110.3 | LUCKY | |
24 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 5 | 0.833 | 9 | 14 | 23 | 0 | 0 | 45 | 44 | 37 | 4 | 106 | 455 | 480 | 440 | 25 | 108 | 33 | 32 | 76 | 7 | 2 | 28.57% | 14 | 3 | 78.57% | 0 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 58.3% | 8.5% | 92.6% | 101.1 | DULL | |
_Vs Division | 18 | 9 | 8 | 0 | 1 | 1 | 1 | 1 | 49 | 49 | 0 | 24 | 0.667 | 49 | 88 | 137 | 1 | 0 | 45 | 44 | 37 | 4 | 595 | 455 | 480 | 440 | 25 | 554 | 159 | 159 | 437 | 54 | 4 | 7.41% | 64 | 11 | 82.81% | 1 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 54.2% | 8.2% | 91.2% | 99.4 | DULL | |
_Vs Conference | 32 | 15 | 11 | 0 | 1 | 2 | 2 | 1 | 95 | 84 | 11 | 39 | 0.609 | 95 | 170 | 265 | 2 | 0 | 45 | 44 | 37 | 4 | 1044 | 455 | 480 | 440 | 25 | 983 | 297 | 264 | 810 | 115 | 17 | 14.78% | 109 | 21 | 80.73% | 1 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 55.3% | 9.1% | 91.5% | 100.6 | LUCKY | |
_Since Last GM Reset | 44 | 20 | 18 | 0 | 1 | 2 | 2 | 1 | 129 | 119 | 10 | 49 | 0.557 | 129 | 232 | 361 | 3 | 0 | 45 | 44 | 37 | 4 | 1390 | 455 | 480 | 440 | 25 | 1400 | 425 | 408 | 1097 | 158 | 23 | 14.56% | 168 | 28 | 83.33% | 1 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 53.8% | 9.3% | 91.5% | 100.8 | LUCKY | |
Total | 44 | 20 | 18 | 0 | 1 | 2 | 2 | 1 | 129 | 119 | 10 | 49 | 0.557 | 129 | 232 | 361 | 3 | 0 | 45 | 44 | 37 | 4 | 1390 | 455 | 480 | 440 | 25 | 1400 | 425 | 408 | 1097 | 158 | 23 | 14.56% | 168 | 28 | 83.33% | 1 | 791 | 1599 | 49.47% | 836 | 1629 | 51.32% | 335 | 670 | 50.00% | 1019 | 675 | 1057 | 350 | 587 | 283 | 53.8% | 9.3% | 91.5% | 100.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1599 |
Neutral Zone Start | 670 |
Defensive Zone Start | 1629 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1962 |
Faceoffs Lost | 1936 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 21.3 | 20.31 |
3rd Period | 31.3 | 30.68 |
Overtime | 31.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 102 |
---|---|
PP Goal | 23 |
PK Goal | 1 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 17 | 6 |
Lost | 6 | 12 |
Overtime Lost | 1 | 2 |
PP Attempt | 158 |
---|---|
PP Goal | 23 |
PK Attempt | 168 |
PK Goal Against | 28 |
Home | |
---|---|
Shots For | 31.6 |
Shots Against | 31.8 |
Goals For | 2.9 |
Goals Against | 2.7 |
Hits | 24.9 |
Shots Blocked | 9.7 |
Pim | 9.3 |
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 | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,997,501$ | 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 |
12 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,997,501$ | 2,997,501$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,048,707$ | 16,470$ | 1,732,781$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 81 | 19,217$ | 1,287,539$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,287,539$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
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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