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Milwaukee Admirals 26-31-7, 59pts · 13th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ryan Lomberg | 0 | LW | 100.00 | 83 | 68 | 63 | 79 | 73 | 82 | 86 | 80 | 55 | 68 | 72 | 72 | 77 | 75 | 65 | 1 | 80 | 0 | 29 | 750,000$/1yrs | |||
Phillip Di Giuseppe | 0 | LW | 100.00 | 82 | 39 | 84 | 65 | 73 | 91 | 72 | 66 | 56 | 67 | 59 | 63 | 65 | 70 | 71 | 61 | 84 | 0 | 30 | 775,000$/2yrs | |||
Joel Kiviranta | 0 | LW/RW | 100.00 | 82 | 50 | 73 | 76 | 74 | 84 | 83 | 73 | 40 | 61 | 68 | 74 | 72 | 65 | 55 | 1 | 80 | 0 | 27 | 750,000$/1yrs | |||
Drew O'Connor | 0 | LW | 100.00 | 77 | 45 | 85 | 74 | 84 | 79 | 75 | 72 | 50 | 66 | 65 | 68 | 70 | 60 | 53 | 1 | 83 | 0 | 25 | 925,000$/2yrs | |||
Riley Damiani | 0 | C | 100.00 | 53 | 40 | 70 | 69 | 57 | 62 | 63 | 62 | 58 | 61 | 57 | 50 | 63 | 51 | 50 | 1 | 81 | 0 | 23 | 750,000$/1yrs | |||
Jaycob Megna | 0 | D | 100.00 | 71 | 55 | 78 | 71 | 88 | 87 | 82 | 72 | 40 | 71 | 62 | 76 | 68 | 78 | 68 | 1 | 67 | 0 | 31 | 750,000$/1yrs | |||
Urho Vaakanainen | 0 | D | 100.00 | 61 | 40 | 84 | 72 | 83 | 84 | 75 | 68 | 40 | 62 | 60 | 65 | 67 | 70 | 60 | 1 | 80 | 0 | 25 | 850,000$/1yrs | |||
Lucas Carlsson | 0 | D | 100.00 | 66 | 40 | 66 | 72 | 63 | 64 | 65 | 69 | 40 | 65 | 66 | 70 | 69 | 53 | 50 | 1 | 81 | 0 | 26 | 750,000$/1yrs | |||
Jan Rutta | 0 | D | 100.00 | 72 | 50 | 73 | 74 | 81 | 86 | 84 | 74 | 40 | 66 | 65 | 78 | 71 | 75 | 65 | 1 | 80 | 0 | 33 | 1,750,000$/2yrs | |||
Scratches |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jonas Johansson | 0 | 100.00 | 72 | 66 | 67 | 72 | 71 | 71 | 73 | 71 | 71 | 70 | 59 | 55 | 50 | 1 | 80 | 0 | 28 | 925,000$/2yrs |
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dan Hinote | 60 | 60 | 60 | 60 | 55 | 55 | 1 | USA | 46 | 3 | 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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 |
# | 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 |
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Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Drew O'Connor | LW | 25 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jan Rutta | D | 33 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Jaycob Megna | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Joel Kiviranta | LW/RW | 27 | 750,000$ | 750,000$ | UFA | ||||||
Jonas Johansson | G | 28 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Lucas Carlsson | D | 26 | 750,000$ | 750,000$ | RFA | ||||||
Phillip Di Giuseppe | LW | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Riley Damiani | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Ryan Lomberg | LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Urho Vaakanainen | D | 25 | 850,000$ | 850,000$ | RFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 | Eagles | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 10 | -4 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 23 | 101 | 81 | 3 | 45 | 287 | 545 | 438 | 5 | 47 | 11 | 12 | 28 | 2 | 1 | 50.00% | 7 | 3 | 57.14% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 41.7% | 13.3% | 78.7% | 92.1 | FUN |
2 | Marlies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 23 | 101 | 81 | 3 | 22 | 287 | 545 | 438 | 5 | 24 | 8 | 8 | 18 | 0 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 80.0% | 18.2% | 87.5% | 105.7 | FUN |
3 | Comets | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 17 | -8 | 0 | 0.000 | 9 | 16 | 25 | 0 | 0 | 23 | 101 | 81 | 3 | 55 | 287 | 545 | 438 | 5 | 75 | 33 | 22 | 25 | 3 | 2 | 66.67% | 11 | 5 | 54.55% | 1 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 36.8% | 16.4% | 77.3% | 93.7 | FUN |
4 | Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 23 | 101 | 81 | 3 | 54 | 287 | 545 | 438 | 5 | 51 | 15 | 6 | 23 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 28.6% | 9.3% | 80.4% | 89.7 | FUN |
5 | Penguins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 23 | 101 | 81 | 3 | 46 | 287 | 545 | 438 | 5 | 48 | 12 | 10 | 19 | 6 | 2 | 33.33% | 5 | 3 | 40.00% | 1 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 40.0% | 13.0% | 81.3% | 94.3 | FUN |
6 | Islanders | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 13 | 9 | 4 | 5 | 0.833 | 13 | 24 | 37 | 0 | 0 | 23 | 101 | 81 | 3 | 44 | 287 | 545 | 438 | 5 | 81 | 18 | 8 | 32 | 2 | 1 | 50.00% | 4 | 2 | 50.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 63.2% | 29.5% | 88.9% | 118.4 | FUN |
7 | Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 23 | 101 | 81 | 3 | 6 | 287 | 545 | 438 | 5 | 24 | 7 | 8 | 13 | 1 | 1 | 100.00% | 4 | 0 | 100.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 0.0% | 16.7% | 91.7% | 108.3 | LUCKY |
8 | Americans | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 23 | 101 | 81 | 3 | 46 | 287 | 545 | 438 | 5 | 40 | 10 | 8 | 24 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 1 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 63.6% | 21.7% | 87.5% | 109.2 | FUN |
9 | Rocket | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 23 | 101 | 81 | 3 | 50 | 287 | 545 | 438 | 5 | 56 | 16 | 18 | 35 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 66.7% | 20.0% | 85.7% | 105.7 | FUN |
10 | Stars | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 22 | 16 | 6 | 6 | 0.750 | 22 | 41 | 63 | 0 | 0 | 23 | 101 | 81 | 3 | 89 | 287 | 545 | 438 | 5 | 71 | 23 | 28 | 67 | 11 | 4 | 36.36% | 14 | 6 | 57.14% | 1 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 64.3% | 24.7% | 77.5% | 102.2 | FUN |
11 | Wolfes | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 23 | 101 | 81 | 3 | 58 | 287 | 545 | 438 | 5 | 58 | 18 | 14 | 32 | 5 | 1 | 20.00% | 7 | 3 | 57.14% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 42.9% | 12.1% | 81.0% | 93.1 | FUN |
12 | Heat | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 23 | 101 | 81 | 3 | 48 | 287 | 545 | 438 | 5 | 32 | 3 | 8 | 24 | 6 | 4 | 66.67% | 4 | 2 | 50.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 27.3% | 14.6% | 68.8% | 83.3 | FUN |
13 | Devils | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 23 | 101 | 81 | 3 | 39 | 287 | 545 | 438 | 5 | 66 | 15 | 14 | 22 | 2 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 50.0% | 15.4% | 84.8% | 100.2 | FUN |
14 | IceHogs | 5 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 11 | 19 | -8 | 3 | 0.300 | 11 | 20 | 31 | 0 | 0 | 23 | 101 | 81 | 3 | 71 | 287 | 545 | 438 | 5 | 117 | 57 | 42 | 70 | 4 | 1 | 25.00% | 21 | 7 | 66.67% | 2 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 45.5% | 15.5% | 83.8% | 99.3 | FUN |
15 | Checkers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 23 | 101 | 81 | 3 | 49 | 287 | 545 | 438 | 5 | 31 | 11 | 10 | 15 | 6 | 3 | 50.00% | 5 | 2 | 60.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 66.7% | 14.3% | 87.1% | 101.4 | FUN |
16 | Reign | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 23 | 101 | 81 | 3 | 33 | 287 | 545 | 438 | 5 | 32 | 12 | 6 | 20 | 6 | 3 | 50.00% | 3 | 1 | 66.67% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 0.0% | 9.1% | 71.9% | 81.0 | FUN |
17 | Moose | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 13 | -1 | 3 | 0.500 | 12 | 21 | 33 | 0 | 0 | 23 | 101 | 81 | 3 | 74 | 287 | 545 | 438 | 5 | 74 | 18 | 8 | 46 | 8 | 5 | 62.50% | 4 | 1 | 75.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 36.8% | 16.2% | 82.4% | 98.6 | FUN |
18 | Wild | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 23 | 101 | 81 | 3 | 36 | 287 | 545 | 438 | 5 | 29 | 8 | 4 | 33 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 40.0% | 5.6% | 86.2% | 91.8 | Unlucky |
19 | Monsters | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 22 | -9 | 4 | 0.500 | 13 | 26 | 39 | 0 | 0 | 23 | 101 | 81 | 3 | 85 | 287 | 545 | 438 | 5 | 156 | 59 | 28 | 45 | 3 | 2 | 66.67% | 14 | 11 | 21.43% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 50.0% | 15.3% | 85.9% | 101.2 | FUN |
20 | Thunderbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 23 | 101 | 81 | 3 | 13 | 287 | 545 | 438 | 5 | 14 | 6 | 4 | 14 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 33.3% | 7.7% | 78.6% | 86.3 | Unlucky |
21 | Roadrunners | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 23 | 101 | 81 | 3 | 13 | 287 | 545 | 438 | 5 | 24 | 5 | 2 | 14 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 42.9% | 23.1% | 83.3% | 106.4 | FUN |
22 | Senators | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 6 | 1.000 | 13 | 24 | 37 | 0 | 0 | 23 | 101 | 81 | 3 | 67 | 287 | 545 | 438 | 5 | 56 | 17 | 16 | 41 | 11 | 7 | 63.64% | 8 | 3 | 62.50% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 75.0% | 19.4% | 91.1% | 110.5 | Unlucky |
23 | Condors | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 8 | 5 | 6 | 1.000 | 13 | 24 | 37 | 0 | 0 | 23 | 101 | 81 | 3 | 72 | 287 | 545 | 438 | 5 | 67 | 19 | 6 | 38 | 8 | 4 | 50.00% | 3 | 1 | 66.67% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 56.3% | 18.1% | 88.1% | 106.1 | FUN |
24 | Bruins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 23 | 101 | 81 | 3 | 40 | 287 | 545 | 438 | 5 | 44 | 14 | 4 | 25 | 5 | 4 | 80.00% | 2 | 0 | 100.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 12.5% | 12.5% | 84.1% | 96.6 | FUN |
25 | Griffins | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 9 | 4 | 3 | 0.750 | 13 | 23 | 36 | 0 | 0 | 23 | 101 | 81 | 3 | 46 | 287 | 545 | 438 | 5 | 78 | 23 | 14 | 21 | 8 | 3 | 37.50% | 7 | 3 | 57.14% | 1 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 62.5% | 28.3% | 88.5% | 116.7 | FUN |
26 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 23 | 101 | 81 | 3 | 12 | 287 | 545 | 438 | 5 | 24 | 10 | 4 | 14 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 0.0% | 0.0% | 75.0% | 75.0 | Unlucky |
27 | Barracuda | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 23 | 101 | 81 | 3 | 34 | 287 | 545 | 438 | 5 | 21 | 8 | 2 | 16 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 50.0% | 5.9% | 95.2% | 101.1 | DULL |
28 | Wolf Pack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 23 | 101 | 81 | 3 | 28 | 287 | 545 | 438 | 5 | 44 | 12 | 6 | 26 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 37.5% | 14.3% | 86.4% | 100.6 | FUN |
_Vs Division | 17 | 10 | 5 | 0 | 2 | 3 | 0 | 0 | 56 | 66 | -10 | 27 | 0.794 | 56 | 104 | 160 | 0 | 0 | 23 | 101 | 81 | 3 | 328 | 287 | 545 | 438 | 5 | 362 | 122 | 96 | 258 | 30 | 11 | 36.67% | 49 | 18 | 63.27% | 3 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 48.4% | 17.1% | 81.8% | 98.8 | FUN | |
_Vs Conference | 35 | 12 | 16 | 0 | 3 | 4 | 0 | 0 | 116 | 124 | -8 | 34 | 0.486 | 116 | 214 | 330 | 0 | 0 | 23 | 101 | 81 | 3 | 667 | 287 | 545 | 438 | 5 | 757 | 233 | 170 | 456 | 69 | 24 | 34.78% | 86 | 33 | 61.63% | 4 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 50.3% | 17.4% | 83.6% | 101.0 | FUN | |
_Since Last GM Reset | 64 | 23 | 31 | 0 | 3 | 7 | 0 | 0 | 208 | 240 | -32 | 59 | 0.461 | 208 | 386 | 594 | 0 | 0 | 23 | 101 | 81 | 3 | 1275 | 287 | 545 | 438 | 5 | 1484 | 468 | 320 | 800 | 124 | 54 | 43.55% | 161 | 67 | 58.39% | 7 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 47.1% | 16.3% | 83.8% | 100.1 | FUN | |
Total | 64 | 23 | 31 | 0 | 3 | 7 | 0 | 0 | 208 | 240 | -32 | 59 | 0.461 | 208 | 386 | 594 | 0 | 0 | 23 | 101 | 81 | 3 | 1275 | 287 | 545 | 438 | 5 | 1484 | 468 | 320 | 800 | 124 | 54 | 43.55% | 161 | 67 | 58.39% | 7 | 374 | 774 | 48.32% | 381 | 795 | 47.92% | 619 | 1240 | 49.92% | 1387 | 847 | 1431 | 553 | 1038 | 505 | 47.1% | 16.3% | 83.8% | 100.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 774 |
Neutral Zone Start | 1240 |
Defensive Zone Start | 795 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1374 |
Faceoffs Lost | 1435 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.5 | 9.57 |
2nd Period | 13.0 | 20.31 |
3rd Period | 19.8 | 30.68 |
Overtime | 19.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 147 |
---|---|
PP Goal | 54 |
PK Goal | 7 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 11 | 15 |
Lost | 16 | 15 |
Overtime Lost | 5 | 2 |
PP Attempt | 124 |
---|---|
PP Goal | 54 |
PK Attempt | 161 |
PK Goal Against | 67 |
Home | |
---|---|
Shots For | 19.9 |
Shots Against | 23.2 |
Goals For | 3.3 |
Goals Against | 3.8 |
Hits | 12.5 |
Shots Blocked | 7.3 |
Pim | 5.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-10 | BKS | VS | MIL | BKS4,MIL5 (OT) | RECAP | |||||||||
2023-10-14 | LAV | VS | MIL | LAV5,MIL3 | RECAP | |||||||||
2023-10-16 | MIL | VS | RFD | MIL3,RFD2 | RECAP | |||||||||
2023-10-19 | RFD | VS | MIL | RFD3,MIL2 (OT) | RECAP | |||||||||
2023-10-22 | MIL | VS | RFD | MIL2,RFD3 | RECAP | |||||||||
2023-10-24 | MIL | VS | UTI | MIL4,UTI6 | RECAP | |||||||||
2023-10-27 | IOW | VS | MIL | IOW2,MIL1 | RECAP | |||||||||
2023-10-31 | MIL | VS | BGP | MIL5,BGP1 | RECAP | |||||||||
2023-11-02 | TEX | VS | MIL | TEX8,MIL4 | RECAP | |||||||||
2023-11-06 | MIL | VS | MAN | MIL5,MAN3 | RECAP | |||||||||
2023-11-08 | MIL | VS | LAV | MIL3,LAV1 | RECAP | |||||||||
2023-11-11 | BNG | VS | MIL | BNG3,MIL2 | RECAP | |||||||||
2023-11-14 | MIL | VS | CLE | MIL3,CLE8 | RECAP | |||||||||
2023-11-17 | CLE | VS | MIL | CLE9,MIL3 | RECAP | |||||||||
2023-11-19 | MIL | VS | TEX | MIL7,TEX4 | RECAP | |||||||||
2023-11-22 | MIL | VS | CHA | MIL3,CHA2 | RECAP | |||||||||
2023-11-23 | GRG | VS | MIL | GRG8,MIL7 (OT) | RECAP | |||||||||
2023-11-27 | MIL | VS | CLE | MIL5,CLE4 | RECAP | |||||||||
2023-11-29 | UTI | VS | MIL | UTI6,MIL3 | RECAP | |||||||||
2023-12-03 | MIL | VS | PRO | MIL2,PRO3 (OT) | RECAP | |||||||||
2023-12-05 | BGP | VS | MIL | BGP4,MIL3 (OT) | RECAP | |||||||||
2023-12-11 | IOW | VS | MIL | IOW2,MIL1 | RECAP | |||||||||
2023-12-16 | RFD | VS | MIL | RFD7,MIL2 | RECAP | |||||||||
2023-12-20 | MAN | VS | MIL | MAN6,MIL4 | RECAP | |||||||||
2023-12-22 | MIL | VS | BGP | MIL5,BGP4 (OT) | RECAP | |||||||||
2023-12-26 | BEL | VS | MIL | BEL1,MIL4 | RECAP | |||||||||
2023-12-31 | BKS | VS | MIL | BKS2,MIL3 | RECAP | |||||||||
2024-01-02 | MIL | VS | TUC | MIL3,TUC4 | RECAP | |||||||||
2024-01-04 | MIL | VS | SYR | MIL0,SYR6 | RECAP | |||||||||
2024-01-07 | BEL | VS | MIL | BEL3,MIL5 | RECAP | |||||||||
2024-01-09 | MIL | VS | MAN | MIL3,MAN4 (OT) | RECAP | |||||||||
2024-01-12 | HAR | VS | MIL | HAR1,MIL3 | RECAP | |||||||||
2024-01-15 | MIL | VS | LAV | MIL4,LAV2 | RECAP | |||||||||
2024-01-17 | PRO | VS | MIL | PRO4,MIL3 | RECAP | |||||||||
2024-01-19 | MIL | VS | BEL | MIL4,BEL1 | RECAP | |||||||||
2024-01-21 | MIL | VS | UTI | MIL2,UTI5 | RECAP | |||||||||
2024-01-23 | MIL | VS | MAR | MIL4,MAR3 | RECAP | |||||||||
2024-01-25 | ONT | VS | MIL | ONT4,MIL0 | RECAP | |||||||||
2024-01-28 | MIL | VS | RFD | MIL2,RFD4 | RECAP | |||||||||
2024-01-31 | STC | VS | MIL | STC4,MIL3 | RECAP | |||||||||
2024-02-05 | GRG | VS | MIL | GRG1,MIL6 | RECAP | |||||||||
2024-02-09 | LEV | VS | MIL | LEV6,MIL2 | RECAP | |||||||||
2024-02-11 | MIL | VS | BKS | MIL5,BKS2 | RECAP | |||||||||
2024-02-16 | TEX | VS | MIL | TEX2,MIL5 | RECAP | |||||||||
2024-02-18 | MIL | VS | LEV | MIL3,LEV4 | RECAP | |||||||||
2024-02-20 | MIL | VS | ONT | MIL3,ONT5 | RECAP | |||||||||
2024-02-22 | SPR | VS | MIL | SPR3,MIL1 | RECAP | |||||||||
2024-02-25 | MIL | VS | Ame | MIL7,Ame4 | RECAP | |||||||||
2024-02-27 | Ame | VS | MIL | Ame1,MIL3 | RECAP | |||||||||
2024-03-02 | WBS | VS | MIL | WBS5,MIL4 (OT) | RECAP | |||||||||
2024-03-03 | MIL | VS | WBS | MIL2,WBS4 | RECAP | |||||||||
2024-03-06 | MIL | VS | BNG | MIL4,BNG7 | RECAP | |||||||||
2024-03-08 | STC | VS | MIL | STC6,MIL4 | RECAP | |||||||||
2024-03-12 | WFS | VS | MIL | WFS2,MIL3 | RECAP | |||||||||
2024-03-14 | MIL | VS | SJB | MIL2,SJB1 (OT) | RECAP | |||||||||
2024-03-17 | HER | VS | MIL | HER2,MIL1 | RECAP | |||||||||
2024-03-21 | MIL | VS | TEX | MIL6,TEX2 | RECAP | |||||||||
2024-03-23 | CHA | VS | MIL | CHA2,MIL4 | RECAP | |||||||||
2024-03-25 | MIL | VS | EAG | MIL3,EAG6 | RECAP | |||||||||
2024-03-27 | CLE | VS | MIL | CLE1,MIL2 | RECAP | |||||||||
2024-03-29 | MIL | VS | WFS | MIL2,WFS4 | RECAP | |||||||||
2024-03-31 | MIL | VS | HAR | MIL1,HAR5 | RECAP | |||||||||
2024-04-02 | EAG | VS | MIL | EAG4,MIL3 (OT) | RECAP | |||||||||
2024-04-03 | MIL | VS | WFS | MIL2,WFS5 | RECAP | |||||||||
2024-04-07 | MIL | VS | SDG | |||||||||||
2024-04-08 | MAR | VS | MIL | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-04-13 | BGP | VS | MIL | |||||||||||
2024-04-18 | TUC | VS | MIL | |||||||||||
2024-04-22 | MIL | VS | IOW | |||||||||||
2024-04-23 | LAV | VS | MIL | |||||||||||
2024-04-26 | MIL | VS | STC | |||||||||||
2024-04-29 | SDG | VS | MIL | |||||||||||
2024-05-01 | MIL | VS | GRG | |||||||||||
2024-05-03 | MIL | VS | CHA | |||||||||||
2024-05-05 | BNG | VS | MIL | |||||||||||
2024-05-07 | MIL | VS | SPR | |||||||||||
2024-05-10 | MIL | VS | BKS | |||||||||||
2024-05-11 | MIL | VS | GRG | |||||||||||
2024-05-13 | SDG | VS | MIL | |||||||||||
2024-05-16 | MIL | VS | HER | |||||||||||
2024-05-20 | SYR | VS | MIL | |||||||||||
2024-05-25 | SJB | VS | MIL |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
897,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Milwaukee | |
Capacity | 8000 | |
Season Ticket Holders | 20% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 3000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 127454 | 79652 | |||
Attendance PCT | 79.66% | 82.97% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
9 | 6472 - 80.90% | 159,066$ | 5,090,103$ | 8000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
897,500$ | 897,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
1,222,620$ | 0$ | 839,580$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,431,591$ | 58 | 5,947$ | 309,244$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
309,244$ | 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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