Full Scoreboard ยป |
Milwaukee Admirals 0-0-0, 0pts · 15th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 68 | 38 | 84 | 63 | 75 | 86 | 71 | 62 | 58 | 57 | 61 | 59 | 62 | 63 | 65 | 74 | 75 | 0 | 22 | 897,500$/1yrs | |||
![]() | 0 | RW | 100.00 | 85 | 83 | 67 | 64 | 82 | 78 | 82 | 62 | 53 | 63 | 59 | 69 | 61 | 67 | 68 | 37 | 75 | 0 | 27 | 1,100,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 60 | 38 | 82 | 59 | 74 | 67 | 80 | 58 | 52 | 55 | 57 | 57 | 59 | 62 | 62 | 60 | 75 | 0 | 23 | 859,167$/1yrs | |||
![]() | 0 | LW | 100.00 | 69 | 36 | 91 | 59 | 69 | 82 | 85 | 57 | 61 | 58 | 55 | 65 | 56 | 62 | 64 | 57 | 75 | 0 | 22 | 825,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 57 | 38 | 75 | 65 | 67 | 86 | 80 | 64 | 72 | 67 | 60 | 62 | 61 | 63 | 62 | 82 | 75 | 0 | 21 | 863,333$/2yrs | |||
![]() | 0 | C | 100.00 | 61 | 37 | 87 | 69 | 70 | 79 | 85 | 67 | 73 | 68 | 62 | 63 | 65 | 62 | 64 | 82 | 75 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 35 | 92 | 59 | 66 | 82 | 80 | 58 | 65 | 57 | 56 | 59 | 58 | 63 | 65 | 69 | 75 | 0 | 22 | 797,500$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 1 | LW | 100.00 | 65 | 36 | 95 | 57 | 74 | 66 | 68 | 56 | 60 | 57 | 58 | 55 | 56 | 64 | 66 | 48 | 75 | 0 | 23 | ||||
![]() | 0 | C | 100.00 | 60 | 42 | 86 | 65 | 67 | 84 | 88 | 63 | 85 | 67 | 61 | 66 | 63 | 65 | 68 | 72 | 75 | 0 | 24 | ||||
![]() | 0 | C/RW | 100.00 | 63 | 33 | 84 | 62 | 67 | 74 | 60 | 62 | 56 | 50 | 50 | 57 | 56 | 69 | 70 | 35 | 75 | 0 | 30 | ||||
![]() | 25 | RW | 100.00 | 64 | 37 | 91 | 66 | 74 | 87 | 83 | 65 | 59 | 60 | 67 | 61 | 66 | 65 | 68 | 69 | 75 | 0 | 24 | 775,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 63 | 37 | 94 | 55 | 72 | 67 | 63 | 53 | 59 | 53 | 52 | 55 | 54 | 66 | 68 | 45 | 75 | 0 | 27 | ||||
![]() | 88 | LW/RW | 100.00 | 63 | 37 | 89 | 59 | 72 | 71 | 80 | 58 | 60 | 57 | 55 | 54 | 59 | 74 | 76 | 31 | 75 | 0 | 33 | ||||
![]() | 14 | C | 100.00 | 66 | 38 | 93 | 58 | 78 | 77 | 80 | 57 | 63 | 58 | 59 | 61 | 56 | 65 | 67 | 77 | 75 | 0 | 24 | 775,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 75 | 41 | 77 | 56 | 84 | 75 | 68 | 55 | 52 | 54 | 54 | 57 | 53 | 62 | 64 | 49 | 75 | 0 | 21 | 867,500$/2yrs | |||
![]() | 0 | C | 100.00 | 56 | 38 | 75 | 58 | 65 | 77 | 82 | 57 | 61 | 56 | 54 | 52 | 55 | 66 | 68 | 42 | 75 | 0 | 25 | ||||
![]() | 0 | C | 100.00 | 61 | 36 | 95 | 63 | 70 | 82 | 72 | 62 | 71 | 60 | 58 | 66 | 63 | 62 | 64 | 53 | 75 | 0 | 21 | 870,000$/2yrs | |||
![]() | 91 | RW | 100.00 | 72 | 39 | 91 | 57 | 81 | 65 | 84 | 55 | 30 | 56 | 53 | 58 | 46 | 64 | 66 | 69 | 75 | 0 | 23 | ||||
![]() | 0 | LW | 100.00 | 80 | 67 | 68 | 53 | 89 | 68 | 74 | 52 | 54 | 53 | 52 | 58 | 52 | 77 | 79 | 20 | 75 | 0 | 37 | ||||
![]() | 0 | C/LW | 100.00 | 73 | 35 | 82 | 84 | 74 | 92 | 89 | 82 | 75 | 86 | 80 | 71 | 84 | 63 | 72 | 89 | 75 | 0 | 22 | 8,350,000$/7yrs | |||
![]() | 0 | LW | 100.00 | 72 | 42 | 65 | 59 | 82 | 68 | 79 | 57 | 55 | 58 | 58 | 56 | 59 | 67 | 69 | 37 | 75 | 0 | 27 | ||||
![]() | 22 | D | 100.00 | 57 | 38 | 74 | 63 | 66 | 65 | 70 | 57 | 30 | 64 | 51 | 54 | 46 | 65 | 67 | 77 | 75 | 0 | 24 | ||||
![]() | 2 | D | 100.00 | 72 | 67 | 61 | 63 | 78 | 80 | 78 | 58 | 30 | 62 | 59 | 61 | 53 | 64 | 66 | 48 | 75 | 0 | 24 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 37 | 88 | 66 | 77 | 83 | 81 | 65 | 30 | 68 | 59 | 62 | 51 | 70 | 71 | 35 | 75 | 0 | 29 | ||||
![]() | 0 | D | 100.00 | 76 | 42 | 77 | 61 | 83 | 82 | 80 | 59 | 30 | 65 | 57 | 69 | 48 | 68 | 70 | 53 | 75 | 0 | 28 | ||||
![]() | 0 | D | 100.00 | 63 | 38 | 84 | 69 | 73 | 84 | 77 | 64 | 30 | 71 | 60 | 62 | 53 | 65 | 67 | 69 | 75 | 0 | 25 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 38 | 90 | 67 | 78 | 88 | 74 | 65 | 30 | 66 | 59 | 69 | 51 | 63 | 65 | 61 | 75 | 0 | 23 | ||||
![]() | 0 | D | 100.00 | 60 | 36 | 90 | 78 | 80 | 92 | 75 | 77 | 30 | 82 | 69 | 64 | 57 | 61 | 67 | 89 | 75 | 0 | 20 | 925,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 32 | 100.00 | 80 | 83 | 79 | 85 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 65 | 73 | 57 | 75 | 0 | 24 | 890,000$/2yrs |
![]() | 0 | 100.00 | 77 | 87 | 82 | 86 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 62 | 70 | 82 | 75 | 0 | 21 | 925,000$/1yrs |
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joel Bouchard | 71 | 72 | 70 | 72 | 78 | 73 | 75 | CAN | 50 | 3 | 1,000,000$ |
General Manager |
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Priority | Type | Description |
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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 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bennett MacArthur ![]() | LW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Cayden Primeau | G | 24 | 890,000$ | 890,000$ | 890,000$ | ||||||
Eetu Liukas ![]() | LW | 21 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Elliot Desnoyers ![]() | LW | 22 | 825,000$ | 825,000$ | RFA | ||||||
Emil Heineman ![]() | LW/RW | 22 | 897,500$ | 897,500$ | RFA | ||||||
Fabian Lysell ![]() | RW | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Gabriel Bourque ![]() | LW/RW | 33 | 0$ | UFA | |||||||
Hendrix Lapierre ![]() | C | 22 | 863,333$ | 863,333$ | RFA | ||||||
Henry Thrun ![]() | D | 23 | 0$ | RFA | |||||||
Ian Mitchell ![]() | D | 25 | 775,000$ | 775,000$ | |||||||
Jack Drury ![]() | C | 24 | 0$ | ||||||||
Jean-Sebastien Dea ![]() | C/RW | 30 | 0$ | UFA | |||||||
Jesper Wallstedt ![]() | G | 21 | 925,000$ | 925,000$ | RFA | ||||||
Logan Morrison ![]() | C | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Luke Hughes ![]() | D | 20 | 925,000$ | 925,000$ | RFA | ||||||
Mathieu Olivier | RW | 27 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Nick DeSimone ![]() | D | 29 | 0$ | UFA | |||||||
Nicolas Beaudin ![]() | D | 24 | 0$ | ||||||||
Pierre-Cedric Labrie ![]() | LW | 37 | 0$ | UFA | |||||||
Robert Carpenter ![]() | C/LW | 27 | 0$ | UFA | |||||||
Samuel Asselin ![]() | C | 25 | 0$ | ||||||||
Samuel Fagemo ![]() | RW | 24 | 775,000$ | 775,000$ | |||||||
Samuel Laberge ![]() | LW | 27 | 0$ | UFA | |||||||
Shane Bowers ![]() | C | 24 | 775,000$ | 775,000$ | 775,000$ | ||||||
Simon Lundmark ![]() | RW | 23 | 0$ | RFA | |||||||
Tim Stutzle | C/LW | 22 | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | UFA |
Timur Ibragimov ![]() | LW | 23 | 0$ | RFA | |||||||
Tristen Robins ![]() | C | 22 | 797,500$ | 797,500$ | RFA | ||||||
Tyler Tucker | D | 24 | 800,000$ | 800,000$ | |||||||
William Lagesson ![]() | D | 28 | 0$ | UFA |
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 |
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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
1,101,833$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Milwaukee | |
Capacity | 8000 | |
Season Ticket Holders | 20% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 3000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
36 | 0 - 0.00% | 0$ | 0$ | 8000 | 110 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
1,101,833$ | 1,101,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 5,650$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 10,779$ | 2,101,905$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,101,905$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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