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Full Scoreboard »» |
Milwaukee Admirals 49-23-7, 105pts · 7th in WESTERN CONFERENCE |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 21 | LW/RW | 100.00 | 58 | 37 | 85 | 85 | 73 | 86 | 78 | 73 | 25 | 73 | 72 | 72 | 78 | 99 | 99 | 17 | 86 | 72 | 33 | 700,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 52 | 23 | 99 | 79 | 70 | 72 | 82 | 81 | 25 | 69 | 70 | 80 | 64 | 99 | 99 | 2 | 53 | 72 | 36 | 750,000$/1yrs | |||
![]() | 77 | C | 100.00 | 53 | 28 | 96 | 84 | 84 | 65 | 77 | 81 | 83 | 73 | 71 | 69 | 67 | 91 | 95 | 52 | 86 | 72 | 29 | 1,700,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 59 | 88 | 84 | 73 | 86 | 93 | 61 | 90 | 62 | 67 | 82 | 63 | 95 | 92 | 66 | 86 | 72 | 27 | 975,000$/3yrs | |||
![]() | 0 | LW/RW | 99.00 | 52 | 36 | 95 | 77 | 73 | 61 | 73 | 81 | 71 | 78 | 75 | 75 | 68 | 85 | 86 | 66 | 86 | 72 | 28 | 875,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 72 | 30 | 86 | 72 | 76 | 63 | 69 | 82 | 69 | 78 | 75 | 71 | 63 | 94 | 97 | 48 | 86 | 72 | 31 | 1,550,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 51 | 44 | 95 | 82 | 65 | 78 | 91 | 85 | 56 | 77 | 75 | 76 | 69 | 68 | 68 | 67 | 86 | 72 | 27 | 2,850,096$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 51 | 47 | 90 | 91 | 68 | 80 | 95 | 80 | 71 | 77 | 74 | 69 | 71 | 63 | 61 | 76 | 86 | 72 | 24 | 1,000,000$/6yrs | |||
![]() | 0 | C | 99.00 | 51 | 46 | 87 | 81 | 69 | 82 | 95 | 75 | 76 | 68 | 68 | 68 | 71 | 54 | 54 | 90 | 86 | 68 | 21 | 925,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 47 | 37 | 69 | 88 | 67 | 84 | 95 | 75 | 63 | 75 | 64 | 64 | 61 | 54 | 54 | 86 | 86 | 68 | 22 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 44 | 36 | 91 | 83 | 59 | 82 | 95 | 75 | 74 | 68 | 69 | 64 | 72 | 54 | 54 | 90 | 86 | 67 | 21 | 925,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 65 | 63 | 64 | 76 | 81 | 79 | 95 | 69 | 69 | 65 | 60 | 76 | 63 | 54 | 54 | 90 | 87 | 67 | 21 | 925,000$/3yrs | |||
![]() | 3 | D | 100.00 | 64 | 31 | 90 | 74 | 77 | 74 | 76 | 73 | 25 | 64 | 56 | 82 | 62 | 99 | 99 | 1 | 85 | 72 | 36 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 30 | 92 | 74 | 70 | 75 | 77 | 79 | 25 | 72 | 65 | 78 | 61 | 98 | 96 | 40 | 77 | 72 | 32 | 700,000$/1yrs | |||
![]() | 0 | D | 99.80 | 71 | 43 | 98 | 84 | 66 | 80 | 76 | 76 | 25 | 62 | 53 | 74 | 25 | 62 | 62 | 76 | 75 | 69 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 41 | 90 | 72 | 83 | 63 | 69 | 62 | 25 | 53 | 48 | 70 | 56 | 94 | 95 | 50 | 47 | 66 | 29 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 42 | 87 | 67 | 67 | 76 | 58 | 68 | 25 | 54 | 48 | 81 | 25 | 64 | 64 | 75 | 63 | 65 | 24 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 56 | 50 | 68 | 76 | 67 | 74 | 95 | 57 | 25 | 58 | 46 | 71 | 48 | 54 | 54 | 90 | 85 | 64 | 21 | 925,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 51 | 26 | 98 | 81 | 65 | 61 | 66 | 74 | 69 | 70 | 67 | 64 | 62 | 94 | 90 | 61 | 36 | 68 | 28 | 950,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 57 | 52 | 74 | 77 | 72 | 72 | 95 | 54 | 55 | 51 | 47 | 62 | 49 | 56 | 56 | 88 | 20 | 59 | 21 | 925,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 43 | 97 | 64 | 66 | 51 | 80 | 60 | 25 | 50 | 60 | 66 | 25 | 54 | 54 | 64 | 20 | 58 | 28 | 700,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 84 | 45 | 83 | 66 | 77 | 52 | 52 | 54 | 78 | 50 | 58 | 63 | 25 | 53 | 53 | 57 | 20 | 57 | 28 | 700,000$/2yrs | |||
![]() | 0 | D | 97.20 | 73 | 44 | 78 | 74 | 81 | 77 | 76 | 75 | 25 | 60 | 52 | 78 | 58 | 99 | 99 | 37 | 46 | 72 | 33 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 70 | 63 | 70 | 81 | 71 | 72 | 71 | 25 | 64 | 56 | 64 | 59 | 93 | 96 | 61 | 19 | 68 | 29 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 39 | 80 | 71 | 74 | 66 | 72 | 69 | 25 | 57 | 48 | 67 | 55 | 90 | 93 | 60 | 28 | 66 | 28 | 700,000$/1yrs | |||
![]() | 0 | D | 92.17 | 94 | 93 | 75 | 70 | 94 | 65 | 69 | 57 | 25 | 37 | 40 | 73 | 38 | 64 | 64 | 74 | 15 | 65 | 24 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 73 | 92 | 72 | 75 | 70 | 77 | 47 | 25 | 38 | 40 | 62 | 38 | 50 | 50 | 69 | 20 | 60 | 25 | 700,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 74 | 79 | 77 | 83 | 78 | 86 | 82 | 86 | 84 | 79 | 75 | 98 | 95 | 8 | 78 | 82 | 36 | 700,000$/1yrs |
![]() | 0 | 100.00 | 76 | 85 | 79 | 73 | 76 | 88 | 89 | 91 | 87 | 70 | 71 | 72 | 72 | 76 | 87 | 79 | 26 | 900,000$/5yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 63 | 47 | 47 | 82 | 64 | 63 | 74 | 68 | 70 | 62 | 78 | 48 | 48 | 78 | 20 | 63 | 23 | 925,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Martins Dzierkals | RW | 79 | 30 | 49 | 79 | 18 | 16 | 10 | 56 | 321 | 98 | 255 | 9.35% | 15 | 18.49 | 7 | 15 | 22 | 222 | 0 | 1 | 1 | 4 | 6 | 0 | 36.00% | 100 | 0 | 0 | 0 | 0 | 1.08 | 0 | 1 | ||
2 | Akil Thomas | C/RW | 79 | 25 | 42 | 67 | 1 | 16 | 0 | 88 | 277 | 71 | 207 | 9.03% | 11 | 18.23 | 6 | 15 | 21 | 224 | 0 | 1 | 1 | 5 | 5 | 0 | 46.43% | 112 | 0 | 0 | 0 | 0 | 0.93 | 0 | 5 | ||
3 | Amadeus Lombardi | C | 79 | 24 | 30 | 54 | 10 | 6 | 0 | 27 | 177 | 57 | 119 | 13.56% | 12 | 16.85 | 4 | 9 | 13 | 175 | 0 | 0 | 0 | 0 | 2 | 3 | 52.12% | 1654 | 0 | 0 | 0 | 0 | 0.81 | 2 | 2 | ||
4 | Jayce Hawryluk | LW/RW | 74 | 22 | 31 | 53 | -6 | 2 | 0 | 38 | 205 | 84 | 180 | 10.73% | 12 | 16.94 | 8 | 6 | 14 | 124 | 0 | 0 | 0 | 8 | 5 | 2 | 53.85% | 104 | 0 | 0 | 0 | 1 | 0.85 | 1 | 5 | ||
5 | Kyle Palmieri | LW/RW | 79 | 24 | 27 | 51 | -10 | 6 | 0 | 51 | 230 | 67 | 141 | 10.43% | 9 | 15.41 | 3 | 3 | 6 | 77 | 0 | 0 | 0 | 15 | 4 | 1 | 28.89% | 90 | 0 | 0 | 0 | 0 | 0.84 | 0 | 2 | ||
6 | Cross Hanas | LW | 79 | 23 | 27 | 50 | 14 | 20 | 0 | 139 | 198 | 56 | 127 | 11.62% | 6 | 18.29 | 5 | 6 | 11 | 205 | 0 | 0 | 0 | 0 | 2 | 1 | 51.00% | 100 | 0 | 0 | 0 | 0 | 0.69 | 2 | 5 | ||
7 | Caedan Bankier | C | 79 | 19 | 28 | 47 | -5 | 10 | 0 | 77 | 185 | 55 | 109 | 10.27% | 20 | 18.50 | 3 | 9 | 12 | 205 | 0 | 0 | 0 | 4 | 2 | 0 | 49.78% | 1838 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
8 | Jordan Spence | D | 76 | 11 | 34 | 45 | -17 | 26 | 0 | 100 | 111 | 33 | 68 | 9.91% | 97 | 22.02 | 8 | 7 | 15 | 201 | 0 | 0 | 0 | 82 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
9 | Mark Jankowski | C | 79 | 14 | 28 | 42 | -20 | 2 | 0 | 15 | 206 | 60 | 147 | 6.80% | 9 | 15.50 | 3 | 2 | 5 | 43 | 0 | 0 | 0 | 103 | 5 | 0 | 59.06% | 1573 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
10 | Lucas Ciona | LW | 79 | 17 | 22 | 39 | -16 | 35 | 15 | 141 | 155 | 43 | 94 | 10.97% | 13 | 15.74 | 4 | 9 | 13 | 173 | 0 | 0 | 0 | 100 | 2 | 0 | 51.79% | 112 | 0 | 0 | 1 | 0 | 0.63 | 0 | 0 | ||
11 | Michael Amadio | C/LW/RW | 79 | 16 | 22 | 38 | 7 | 18 | 0 | 81 | 169 | 55 | 112 | 9.47% | 7 | 10.36 | 2 | 12 | 14 | 159 | 1 | 0 | 1 | 18 | 3 | 2 | 54.73% | 201 | 0 | 0 | 0 | 1 | 0.93 | 0 | 1 | ||
12 | Jordan Oesterle | D | 72 | 6 | 27 | 33 | 7 | 16 | 0 | 50 | 59 | 26 | 50 | 10.17% | 99 | 19.36 | 1 | 1 | 2 | 35 | 0 | 0 | 0 | 94 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
13 | Matt Irwin | D | 78 | 2 | 28 | 30 | -10 | 20 | 0 | 82 | 56 | 24 | 34 | 3.57% | 118 | 18.38 | 0 | 1 | 1 | 22 | 0 | 0 | 0 | 87 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.42 | 0 | 0 | ||
14 | Brandon Davidson | D | 64 | 5 | 20 | 25 | 0 | 26 | 0 | 108 | 49 | 20 | 27 | 10.20% | 63 | 19.29 | 1 | 2 | 3 | 27 | 1 | 0 | 1 | 70 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
15 | Anthony Cirelli | C/RW | 79 | 9 | 16 | 25 | 10 | 17 | 5 | 75 | 126 | 34 | 81 | 7.14% | 12 | 9.99 | 1 | 1 | 2 | 19 | 0 | 1 | 1 | 113 | 1 | 1 | 62.16% | 1065 | 0 | 0 | 0 | 0 | 0.63 | 1 | 2 | ||
16 | Jordan Harris | D | 66 | 6 | 17 | 23 | 6 | 18 | 0 | 98 | 45 | 13 | 36 | 13.33% | 100 | 19.39 | 2 | 0 | 2 | 3 | 0 | 1 | 1 | 90 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
17 | Brian Flynn | C/LW/RW | 51 | 10 | 12 | 22 | -7 | 0 | 0 | 2 | 106 | 35 | 82 | 9.43% | 14 | 11.04 | 0 | 1 | 1 | 22 | 0 | 0 | 0 | 57 | 3 | 1 | 23.88% | 67 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | ||
18 | Nelson Nogier | D | 44 | 1 | 14 | 15 | 1 | 30 | 0 | 79 | 26 | 9 | 13 | 3.85% | 59 | 17.49 | 0 | 1 | 1 | 39 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
19 | Anton Cederholm | D | 47 | 3 | 9 | 12 | 15 | 12 | 0 | 43 | 29 | 3 | 19 | 10.34% | 50 | 17.07 | 1 | 0 | 1 | 19 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
20 | Ethan Samson | D | 73 | 4 | 5 | 9 | 5 | 24 | 0 | 82 | 51 | 26 | 41 | 7.84% | 85 | 18.80 | 1 | 1 | 2 | 180 | 0 | 0 | 0 | 19 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | ||
21 | Chase De Leo | C/LW | 39 | 0 | 6 | 6 | 3 | 0 | 0 | 1 | 31 | 4 | 19 | 0.00% | 3 | 7.98 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 34 | 0 | 0 | 39.39% | 33 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
22 | Matt Roy | D | 6 | 0 | 1 | 1 | 3 | 9 | 5 | 7 | 3 | 0 | 1 | 0.00% | 4 | 15.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
23 | Kevin Bahl | D | 26 | 0 | 1 | 1 | 2 | 24 | 0 | 81 | 10 | 6 | 9 | 0.00% | 33 | 17.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.04 | 0 | 0 | ||
Team Total or Average | 1506 | 271 | 496 | 767 | 11 | 353 | 35 | 1521 | 2825 | 879 | 1971 | 9.59% | 851 | 16.64 | 60 | 101 | 161 | 2189 | 2 | 4 | 6 | 1032 | 45 | 15 | 53.71% | 7049 | 0 | 0 | 2 | 2 | 0.61 | 6 | 23 |
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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mikko Koskinen | 72 | 72 | 44 | 19 | 7 | 0.906 | 2.86 | -18.9 | 4115 | 10 | 3 | 196 | 2083 | 0 | 3 | 1 | 0.833 | 24 | 72 | 7 | 7 | 4 | 3 | |
2 | Ilya Konovalov | 14 | 7 | 5 | 3 | 0 | 0.919 | 2.65 | 1.5 | 657 | 4 | 0 | 29 | 359 | 0 | 0 | 0 | 0.000 | 0 | 7 | 61 | 0 | 1 | 0 | |
3 | Nico Daws | 1 | 0 | 0 | 1 | 0 | 0.867 | 7.06 | -0.7 | 17 | 0 | 0 | 2 | 15 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 | |
Team Total or Average | 87 | 49 | 23 | 7 | 0.908 | 2.84 | 4789 | 14 | 3 | 227 | 2457 | 0 | 3 | 1 | 0.833 | 24 | 79 | 79 | 7 | 5 | 3 |
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
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Akil Thomas | C/RW | 24 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | ||
Amadeus Lombardi | C | 21 | $925,000 | $925,000 | $925,000 | |||||
Anthony Cirelli | C/RW | 27 | $975,000 | $975,000 | $975,000 | |||||
Anton Cederholm | D | 29 | $700,000 | |||||||
Brandon Davidson | D | 33 | $700,000 | |||||||
Brian Flynn | C/LW/RW | 36 | $750,000 | |||||||
Caedan Bankier | C | 21 | $925,000 | $925,000 | $925,000 | |||||
Chase De Leo | C/LW | 28 | $950,000 | |||||||
Cross Hanas | LW | 22 | $925,000 | |||||||
Dakota Joshua | C/RW | 28 | $700,000 | $700,000 | ||||||
Ethan Samson | D | 21 | $925,000 | $925,000 | $925,000 | |||||
Ilya Konovalov | G | 26 | $900,000 | $900,000 | $900,000 | $900,000 | $900,000 | |||
Jayce Hawryluk | LW/RW | 28 | $875,000 | $875,000 | ||||||
Jordan Harris | D | 24 | $925,000 | $925,000 | $925,000 | |||||
Jordan Oesterle | D | 32 | $700,000 | |||||||
Jordan Spence | D | 23 | $925,000 | |||||||
Kevin Bahl | D | 24 | $950,000 | |||||||
Kyle Palmieri | LW/RW | 33 | $700,000 | $700,000 | $700,000 | |||||
Liam Gilmartin | LW | 21 | $925,000 | $925,000 | ||||||
Logan OConnor | LW/RW | 28 | $700,000 | $700,000 | ||||||
Lucas Ciona | LW | 21 | $925,000 | $925,000 | $925,000 | |||||
Mark Jankowski | C | 29 | $1,700,000 | |||||||
Martins Dzierkals | RW | 27 | $2,850,096 | |||||||
Matt Irwin | D | 36 | $750,000 | |||||||
Matt Roy | D | 29 | $750,000 | |||||||
Michael Amadio | C/LW/RW | 31 | $1,550,000 | |||||||
Mikko Koskinen | G | 36 | $700,000 | |||||||
Nelson Nogier | D | 28 | $700,000 | |||||||
Nico Daws | G | 23 | $925,000 | $925,000 | ||||||
Simon Benoit | D | 25 | $700,000 | $700,000 | $700,000 |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 98 | 87 | 74 | 14 | 62 | 929 | 877 | 934 | 58 | 70 | 21 | 13 | 23 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 42.9% | 9.7% | 87.1% | 96.8 | FUN | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 98 | 87 | 74 | 14 | 40 | 929 | 877 | 934 | 58 | 25 | 10 | 4 | 16 | 5 | 4 | 80.00% | 2 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 0.0% | 10.0% | 92.0% | 102.0 | LUCKY | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 98 | 87 | 74 | 14 | 28 | 929 | 877 | 934 | 58 | 35 | 8 | 2 | 15 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 20.0% | 7.1% | 88.6% | 95.7 | Unlucky | |
4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 98 | 87 | 74 | 14 | 27 | 929 | 877 | 934 | 58 | 29 | 11 | 2 | 18 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 50.0% | 7.4% | 96.6% | 104.0 | DULL | |
5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 98 | 87 | 74 | 14 | 44 | 929 | 877 | 934 | 58 | 22 | 3 | 0 | 17 | 7 | 2 | 28.57% | 0 | 0 | 0.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 33.3% | 6.8% | 90.9% | 97.7 | Unlucky | |
6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 5 | 6 | 6 | 1.000 | 11 | 19 | 30 | 0 | 0 | 98 | 87 | 74 | 14 | 106 | 929 | 877 | 934 | 58 | 91 | 28 | 14 | 46 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 66.7% | 10.4% | 94.5% | 104.9 | LUCKY | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 9 | 14 | 1 | 0 | 98 | 87 | 74 | 14 | 69 | 929 | 877 | 934 | 58 | 63 | 24 | 14 | 37 | 5 | 2 | 40.00% | 7 | 1 | 85.71% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 60.0% | 7.2% | 95.2% | 102.5 | DULL | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 98 | 87 | 74 | 14 | 35 | 929 | 877 | 934 | 58 | 25 | 14 | 4 | 18 | 7 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 50.0% | 5.7% | 88.0% | 93.7 | Unlucky | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 3 | 6 | 0 | 0 | 98 | 87 | 74 | 14 | 30 | 929 | 877 | 934 | 58 | 42 | 7 | 2 | 21 | 2 | 1 | 50.00% | 1 | 1 | 0.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 33.3% | 10.0% | 88.1% | 98.1 | FUN | |
10 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 98 | 87 | 74 | 14 | 22 | 929 | 877 | 934 | 58 | 26 | 5 | 2 | 17 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 50.0% | 18.2% | 80.8% | 99.0 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 98 | 87 | 74 | 14 | 36 | 929 | 877 | 934 | 58 | 32 | 14 | 2 | 11 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 40.0% | 11.1% | 81.3% | 92.4 | FUN | |
12 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 16 | 11 | 5 | 6 | 0.750 | 16 | 27 | 43 | 0 | 0 | 98 | 87 | 74 | 14 | 156 | 929 | 877 | 934 | 58 | 106 | 38 | 28 | 62 | 18 | 5 | 27.78% | 14 | 1 | 92.86% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 52.4% | 10.3% | 89.6% | 99.9 | FUN | |
13 | 6 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 17 | 18 | -1 | 7 | 0.583 | 17 | 30 | 47 | 0 | 0 | 98 | 87 | 74 | 14 | 189 | 929 | 877 | 934 | 58 | 231 | 70 | 36 | 124 | 15 | 3 | 20.00% | 16 | 7 | 56.25% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 56.0% | 9.0% | 92.2% | 101.2 | LUCKY | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 98 | 87 | 74 | 14 | 61 | 929 | 877 | 934 | 58 | 66 | 25 | 26 | 45 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 33.3% | 6.6% | 84.8% | 91.4 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 98 | 87 | 74 | 14 | 31 | 929 | 877 | 934 | 58 | 38 | 12 | 4 | 20 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 55.6% | 16.1% | 89.5% | 105.6 | FUN | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 98 | 87 | 74 | 14 | 69 | 929 | 877 | 934 | 58 | 68 | 8 | 6 | 35 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 69.2% | 15.9% | 92.6% | 108.6 | LUCKY | |
17 | 6 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 25 | 12 | 13 | 12 | 1.000 | 25 | 43 | 68 | 0 | 0 | 98 | 87 | 74 | 14 | 217 | 929 | 877 | 934 | 58 | 177 | 58 | 25 | 107 | 14 | 3 | 21.43% | 9 | 0 | 100.00% | 1 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 64.7% | 11.5% | 93.2% | 104.7 | LUCKY | |
18 | 6 | 4 | 1 | 0 | 0 | 1 | 0 | 0 | 21 | 12 | 9 | 9 | 0.750 | 21 | 34 | 55 | 0 | 1 | 98 | 87 | 74 | 14 | 228 | 929 | 877 | 934 | 58 | 149 | 45 | 20 | 108 | 15 | 4 | 26.67% | 9 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 58.6% | 9.2% | 91.9% | 101.2 | LUCKY | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 98 | 87 | 74 | 14 | 31 | 929 | 877 | 934 | 58 | 38 | 12 | 0 | 31 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 12.5% | 6.5% | 81.6% | 88.0 | Unlucky | |
20 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 98 | 87 | 74 | 14 | 88 | 929 | 877 | 934 | 58 | 58 | 14 | 8 | 33 | 6 | 3 | 50.00% | 4 | 1 | 75.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 58.3% | 11.4% | 89.7% | 101.0 | FUN | |
21 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 22 | -7 | 2 | 0.200 | 15 | 27 | 42 | 0 | 0 | 98 | 87 | 74 | 14 | 176 | 929 | 877 | 934 | 58 | 176 | 51 | 8 | 97 | 9 | 1 | 11.11% | 4 | 1 | 75.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 40.0% | 8.5% | 87.5% | 96.0 | Unlucky | |
22 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 2 | 4 | 0 | 0 | 98 | 87 | 74 | 14 | 35 | 929 | 877 | 934 | 58 | 33 | 13 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 40.0% | 5.7% | 90.9% | 96.6 | Unlucky | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 14 | 21 | 0 | 1 | 98 | 87 | 74 | 14 | 71 | 929 | 877 | 934 | 58 | 53 | 10 | 6 | 30 | 10 | 2 | 20.00% | 3 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 83.3% | 9.9% | 98.1% | 108.0 | LUCKY | |
24 | 6 | 1 | 3 | 0 | 0 | 1 | 0 | 1 | 17 | 25 | -8 | 4 | 0.333 | 17 | 31 | 48 | 0 | 0 | 98 | 87 | 74 | 14 | 203 | 929 | 877 | 934 | 58 | 185 | 62 | 18 | 90 | 25 | 3 | 12.00% | 7 | 1 | 85.71% | 1 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 36.8% | 8.4% | 86.5% | 94.9 | Unlucky | |
25 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 16 | 10 | 6 | 6 | 0.750 | 16 | 28 | 44 | 0 | 0 | 98 | 87 | 74 | 14 | 129 | 929 | 877 | 934 | 58 | 121 | 41 | 17 | 80 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 60.9% | 12.4% | 91.7% | 104.1 | LUCKY | |
26 | 7 | 4 | 0 | 0 | 1 | 0 | 1 | 1 | 23 | 17 | 6 | 13 | 0.929 | 23 | 40 | 63 | 0 | 0 | 98 | 87 | 74 | 14 | 248 | 929 | 877 | 934 | 58 | 219 | 66 | 30 | 119 | 29 | 8 | 27.59% | 10 | 1 | 90.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 48.4% | 9.3% | 92.2% | 101.5 | LUCKY | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 98 | 87 | 74 | 14 | 39 | 929 | 877 | 934 | 58 | 34 | 9 | 4 | 22 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 25.0% | 5.1% | 91.2% | 96.3 | DULL | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 98 | 87 | 74 | 14 | 36 | 929 | 877 | 934 | 58 | 29 | 14 | 2 | 20 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 14.3% | 5.6% | 79.3% | 84.9 | Unlucky | |
29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 12 | 19 | 0 | 1 | 98 | 87 | 74 | 14 | 84 | 929 | 877 | 934 | 58 | 68 | 15 | 8 | 42 | 11 | 3 | 27.27% | 4 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 80.0% | 8.3% | 98.5% | 106.9 | DULL | |
30 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 1.000 | 12 | 21 | 33 | 0 | 0 | 98 | 87 | 74 | 14 | 102 | 929 | 877 | 934 | 58 | 92 | 29 | 8 | 39 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 58.8% | 11.8% | 92.4% | 104.2 | LUCKY | |
31 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 98 | 87 | 74 | 14 | 83 | 929 | 877 | 934 | 58 | 57 | 11 | 8 | 40 | 11 | 3 | 27.27% | 3 | 0 | 100.00% | 0 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 57.1% | 13.3% | 89.5% | 102.7 | FUN | |
_Vs Division | 40 | 14 | 10 | 0 | 1 | 2 | 2 | 1 | 134 | 117 | 17 | 37 | 0.463 | 134 | 232 | 366 | 0 | 1 | 98 | 87 | 74 | 14 | 1417 | 929 | 877 | 934 | 58 | 1243 | 390 | 165 | 707 | 125 | 27 | 21.60% | 69 | 11 | 84.06% | 2 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 50.2% | 9.5% | 90.6% | 100.0 | FUN | |
_Vs Conference | 58 | 29 | 16 | 0 | 5 | 2 | 3 | 3 | 200 | 165 | 35 | 79 | 0.681 | 200 | 350 | 550 | 0 | 3 | 98 | 87 | 74 | 14 | 2025 | 929 | 877 | 934 | 58 | 1823 | 546 | 251 | 1022 | 177 | 39 | 22.03% | 101 | 17 | 83.17% | 2 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 52.1% | 9.9% | 90.9% | 100.8 | FUN | |
_Since Last GM Reset | 79 | 37 | 23 | 0 | 8 | 4 | 4 | 3 | 271 | 231 | 40 | 105 | 0.665 | 271 | 475 | 746 | 1 | 3 | 98 | 87 | 74 | 14 | 2775 | 929 | 877 | 934 | 58 | 2458 | 748 | 325 | 1405 | 251 | 59 | 23.51% | 134 | 21 | 84.33% | 2 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 50.2% | 9.8% | 90.6% | 100.4 | FUN | |
Total | 79 | 37 | 23 | 0 | 8 | 4 | 4 | 3 | 271 | 231 | 40 | 105 | 0.665 | 271 | 475 | 746 | 1 | 3 | 98 | 87 | 74 | 14 | 2775 | 929 | 877 | 934 | 58 | 2458 | 748 | 325 | 1405 | 251 | 59 | 23.51% | 134 | 21 | 84.33% | 2 | 1625 | 2979 | 54.55% | 1464 | 2716 | 53.90% | 697 | 1277 | 54.58% | 1950 | 1386 | 1822 | 571 | 1021 | 513 | 50.2% | 9.8% | 90.6% | 100.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2979 |
Neutral Zone Start | 1277 |
Defensive Zone Start | 2716 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3786 |
Faceoffs Lost | 3186 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.8 | 9.57 |
2nd Period | 22.9 | 20.31 |
3rd Period | 34.7 | 30.68 |
Overtime | 35.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 209 |
---|---|
PP Goal | 59 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 24 | 25 |
Lost | 12 | 11 |
Overtime Lost | 3 | 4 |
PP Attempt | 251 |
---|---|
PP Goal | 59 |
PK Attempt | 134 |
PK Goal Against | 21 |
Home | |
---|---|
Shots For | 35.1 |
Shots Against | 31.1 |
Goals For | 3.4 |
Goals Against | 2.9 |
Hits | 17.8 |
Shots Blocked | 9.5 |
Pim | 4.1 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$2,767,510 | $0 | $0 | $75,000,000 |
Arena | About us | |
---|---|---|
![]() | Name | Bridgestone Arena |
City | Milwaukee | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 3000 | |||
Ticket Price | $25 | $12 | $ | $ | $ |
Attendance | 190378 | 91485 | |||
Attendance PCT | 81.36% | 78.19% | 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 |
2 | 7227 - 80.30% | $180,224 | $7,028,722 | 9000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$2,767,510 | $2,767,510 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$2,650,488 | $0 | $2,650,488 | $0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$360,447 | 11 | $17,083 | $187,913 |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$187,913 | $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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