Full Scoreboard »» |
Milwaukee Admirals 0-0-0, 0pts · 12th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 97 | 96 | 54 | 77 | 83 | 76 | 83 | 83 | 25 | 71 | 69 | 68 | 67 | 99 | 99 | 10 | 50 | 72 | 34 | 1,000,000$/1yrs | |||
![]() | 24 | C/RW | 100.00 | 55 | 27 | 95 | 78 | 79 | 78 | 79 | 76 | 83 | 67 | 66 | 79 | 68 | 99 | 99 | 8 | 50 | 72 | 35 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 50 | 34 | 98 | 76 | 64 | 78 | 82 | 81 | 25 | 73 | 76 | 76 | 67 | 99 | 99 | 33 | 50 | 72 | 32 | 2,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 58 | 31 | 95 | 72 | 81 | 83 | 76 | 86 | 27 | 70 | 70 | 74 | 63 | 99 | 99 | 30 | 50 | 72 | 33 | 1,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 82 | 58 | 78 | 85 | 69 | 75 | 85 | 85 | 44 | 85 | 75 | 71 | 75 | 50 | 51 | 70 | 50 | 72 | 25 | 925,000$/1yrs | |||
![]() | 20 | C/RW | 100.00 | 55 | 29 | 96 | 83 | 75 | 76 | 83 | 78 | 88 | 66 | 68 | 69 | 73 | 99 | 99 | 1 | 50 | 71 | 36 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 44 | 36 | 93 | 87 | 60 | 84 | 95 | 80 | 76 | 75 | 76 | 68 | 72 | 56 | 56 | 88 | 50 | 71 | 21 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 53 | 36 | 95 | 75 | 65 | 82 | 83 | 74 | 83 | 66 | 65 | 71 | 72 | 99 | 99 | 1 | 50 | 70 | 37 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 52 | 83 | 85 | 72 | 81 | 95 | 78 | 77 | 71 | 71 | 70 | 71 | 58 | 58 | 86 | 50 | 70 | 22 | 925,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 78 | 76 | 59 | 80 | 88 | 82 | 95 | 71 | 71 | 69 | 64 | 78 | 63 | 58 | 58 | 86 | 50 | 70 | 22 | 925,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 59 | 53 | 56 | 79 | 67 | 78 | 95 | 67 | 57 | 54 | 68 | 72 | 71 | 54 | 54 | 90 | 50 | 65 | 20 | 925,000$/3yrs | |||
![]() | 0 | C | 100.00 | 66 | 64 | 60 | 75 | 80 | 76 | 95 | 63 | 73 | 60 | 55 | 75 | 58 | 54 | 54 | 90 | 50 | 64 | 20 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 58 | 33 | 94 | 76 | 74 | 72 | 75 | 78 | 25 | 67 | 62 | 80 | 59 | 99 | 99 | 1 | 50 | 72 | 36 | 1,500,000$/1yrs | |||
![]() | 77 | D | 100.00 | 72 | 42 | 82 | 78 | 64 | 76 | 76 | 77 | 25 | 70 | 64 | 76 | 58 | 99 | 99 | 1 | 50 | 72 | 36 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 43 | 98 | 88 | 66 | 81 | 76 | 82 | 25 | 71 | 64 | 71 | 25 | 66 | 66 | 72 | 50 | 70 | 24 | 1,250,000$/5yrs | |||
![]() | 0 | D | 100.00 | 64 | 59 | 52 | 77 | 72 | 77 | 95 | 65 | 25 | 63 | 56 | 80 | 59 | 54 | 54 | 90 | 50 | 68 | 20 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 68 | 42 | 89 | 71 | 70 | 76 | 58 | 68 | 25 | 54 | 49 | 83 | 25 | 68 | 68 | 71 | 50 | 67 | 24 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 60 | 76 | 70 | 94 | 64 | 75 | 62 | 25 | 51 | 48 | 77 | 25 | 67 | 67 | 72 | 50 | 67 | 24 | 999,999$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 52 | 35 | 97 | 78 | 76 | 59 | 79 | 71 | 85 | 62 | 59 | 68 | 68 | 99 | 99 | 25 | 50 | 67 | 32 | 850,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 68 | 62 | 78 | 70 | 93 | 69 | 74 | 71 | 25 | 58 | 56 | 69 | 57 | 99 | 99 | 16 | 50 | 66 | 35 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 57 | 53 | 75 | 80 | 77 | 73 | 90 | 61 | 59 | 54 | 57 | 68 | 60 | 55 | 55 | 85 | 50 | 62 | 20 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 32 | 89 | 72 | 69 | 73 | 79 | 76 | 25 | 61 | 60 | 78 | 60 | 99 | 99 | 1 | 50 | 71 | 37 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 74 | 90 | 66 | 74 | 79 | 85 | 63 | 25 | 52 | 45 | 75 | 43 | 44 | 44 | 80 | 50 | 64 | 23 | 813,333$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 73 | 70 | 74 | 73 | 73 | 90 | 91 | 92 | 92 | 75 | 73 | 99 | 99 | 32 | 50 | 82 | 33 | 2,000,000$/1yrs |
![]() | 0 | 100.00 | 76 | 85 | 79 | 73 | 76 | 92 | 92 | 94 | 91 | 70 | 71 | 76 | 76 | 72 | 50 | 81 | 26 | 900,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 78 | 77 | 79 | 78 | 78 | 88 | 88 | 87 | 87 | 78 | 75 | 95 | 99 | 23 | 50 | 82 | 35 | 800,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager |
---|
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 |
---|
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 |
---|
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|
Alexandre Grenier | RW | 33 | $1,500,000 | |||||||
Amadeus Lombardi | C | 21 | $925,000 | |||||||
Andrew Cogliano | C/LW/RW | 37 | $800,000 | |||||||
Anthony Peluso | RW | 35 | $750,000 | |||||||
Aydar Suniev | LW | 20 | $925,000 | |||||||
Brad Hunt | D | 36 | $900,000 | |||||||
Brandon Sutter | C/RW | 36 | $750,000 | |||||||
Caedan Bankier | C | 22 | $925,000 | |||||||
Carter Rowney | C/RW | 35 | $1,000,000 | |||||||
Christopher Gibson | G | 33 | $2,000,000 | |||||||
Dylan Roobroeck | C | 20 | $925,000 | $925,000 | $925,000 | |||||
Harri Sateri | G | 35 | $800,000 | |||||||
Ilya Konovalov | G | 26 | $900,000 | $900,000 | $900,000 | |||||
Jacob Peterson | C/LW | 25 | $925,000 | |||||||
Jamie McBain | D | 37 | $900,000 | |||||||
Jordan Harris | D | 24 | $925,000 | |||||||
Jordan Spence | D | 24 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | |||
Josh Archibald | LW/RW | 32 | $2,000,000 | |||||||
Josh Davies | LW | 20 | $925,000 | $925,000 | $925,000 | |||||
Kevin Bahl | D | 24 | $1,050,000 | $1,050,000 | ||||||
Lucas Ciona | LW | 22 | $925,000 | |||||||
Maxence Guenette | D | 23 | $813,333 | $813,333 | ||||||
Nick Shore | C | 32 | $850,000 | |||||||
Rodwin Dionicio | D | 20 | $925,000 | $925,000 | $925,000 | |||||
Yannick Weber | D | 36 | $1,500,000 | |||||||
Zack Kassian | LW/RW | 34 | $1,000,000 |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |
---|---|
Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
---|---|
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 |
---|---|
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 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
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 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fri, Mar 21 | @ | |||||||||||||
Sat, Mar 22 | @ | |||||||||||||
Mon, Mar 24 | @ | |||||||||||||
Wed, Mar 26 | @ | |||||||||||||
Fri, Mar 28 | @ | |||||||||||||
Mon, Mar 31 | @ | |||||||||||||
Tue, Apr 1 | @ | |||||||||||||
Thu, Apr 3 | @ | |||||||||||||
Sat, Apr 5 | @ | |||||||||||||
Mon, Apr 7 | @ | |||||||||||||
Fri, Apr 11 | @ | |||||||||||||
Mon, Apr 14 | @ | |||||||||||||
Tue, Apr 15 | @ | |||||||||||||
Fri, Apr 18 | @ | |||||||||||||
Sat, Apr 19 | @ | |||||||||||||
Wed, Apr 23 | @ | |||||||||||||
Fri, Apr 25 | @ | |||||||||||||
Sun, Apr 27 | @ | |||||||||||||
Tue, Apr 29 | @ | |||||||||||||
Fri, May 2 | @ | |||||||||||||
Sun, May 4 | @ | |||||||||||||
Tue, May 6 | @ | |||||||||||||
Thu, May 8 | @ | |||||||||||||
Sat, May 10 | @ | |||||||||||||
Thu, May 15 | @ | |||||||||||||
Sat, May 17 | @ | |||||||||||||
Mon, May 19 | @ | |||||||||||||
Wed, May 21 | @ | |||||||||||||
Fri, May 23 | @ | |||||||||||||
Sat, May 24 | @ | |||||||||||||
Tue, May 27 | @ | |||||||||||||
Wed, May 28 | @ | |||||||||||||
Sat, May 31 | @ | |||||||||||||
Sun, Jun 1 | @ | |||||||||||||
Thu, Jun 5 | @ | |||||||||||||
Fri, Jun 6 | @ | |||||||||||||
Sun, Jun 8 | @ | |||||||||||||
Tue, Jun 10 | @ | |||||||||||||
Fri, Jun 13 | @ | |||||||||||||
Sun, Jun 15 | @ | |||||||||||||
Wed, Jun 18 | @ | |||||||||||||
Fri, Jun 20 | @ | |||||||||||||
Sun, Jun 22 | @ | |||||||||||||
Tue, Jun 24 | @ | |||||||||||||
Thu, Jun 26 | @ | |||||||||||||
Fri, Jun 27 | @ | |||||||||||||
Tue, Jul 1 | @ | |||||||||||||
Fri, Jul 4 | @ | |||||||||||||
Sat, Jul 5 | @ | |||||||||||||
Mon, Jul 7 | @ | |||||||||||||
Wed, Jul 9 | @ | |||||||||||||
Sat, Jul 12 | @ | |||||||||||||
Mon, Jul 14 | @ | |||||||||||||
Wed, Jul 16 | @ | |||||||||||||
Fri, Jul 18 | @ | |||||||||||||
Sun, Jul 20 | @ | |||||||||||||
Tue, Jul 22 | @ | |||||||||||||
Wed, Jul 23 | @ | |||||||||||||
Fri, Jul 25 | @ | |||||||||||||
Sun, Jul 27 | @ | |||||||||||||
Wed, Jul 30 | @ | |||||||||||||
Sat, Aug 2 | @ | |||||||||||||
Sun, Aug 3 | @ | |||||||||||||
Wed, Aug 6 | @ | |||||||||||||
Fri, Aug 8 | @ | |||||||||||||
Mon, Aug 11 | @ | |||||||||||||
Tue, Aug 12 | @ | |||||||||||||
Fri, Aug 15 | @ | |||||||||||||
Sun, Aug 17 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Aug 18 | @ | |||||||||||||
Thu, Aug 21 | @ | |||||||||||||
Sat, Aug 23 | @ | |||||||||||||
Mon, Aug 25 | @ | |||||||||||||
Tue, Aug 26 | @ | |||||||||||||
Thu, Aug 28 | @ | |||||||||||||
Sun, Aug 31 | @ | |||||||||||||
Tue, Sep 2 | @ | |||||||||||||
Wed, Sep 3 | @ | |||||||||||||
Sat, Sep 6 | @ | |||||||||||||
Tue, Sep 9 | @ | |||||||||||||
Wed, Sep 10 | @ | |||||||||||||
Mon, Sep 15 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$2,708,833 | $0 | $0 | $75,000,000 |
Arena | About us | |
---|---|---|
![]() | Name | Bridgestone Arena |
City | Milwaukee | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
|
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 3000 | |||
Ticket Price | $25 | $12 | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | $0 | 9000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$2,708,833 | $2,703,833 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$14,966 | $0 | $14,966 | $0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$0 | 188 | $14,966 | $2,693,880 |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$2,693,880 | $0 | $0 | $0 |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie |
---|---|---|
|
|
|