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    Milwaukee



    W:12 | L:9 | OTL:1 | PTS:25

    Goals For
    37
    Goals Against
    40
    Power Play
    31.1%
    Penalty Kill
    73.3%
    Team Chemistry
    55
    Team Overall
    58
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    Day 44
    Grand Rapids20h30
    Milwaukee
    Day 46
    Milwaukee19h30
    Norfolk
    Day 48
    Syracuse20h30
    Milwaukee
    Day 49
    Milwaukee20h30
    Manitoba
    Day 51
    Milwaukee22h00
    Iowa
    Day 53
    Milwaukee19h30
    Bridgeport
    Day 54
    Quad City20h30
    Milwaukee
    Day 56
    Lowell20h30
    Milwaukee
    Day 59
    Milwaukee19h30
    Rochester
    Day 60
    Peroria20h30
    Milwaukee
    Day 62
    Milwaukee21h30
    Hersey
    Day 64
    Milwaukee19h30
    Binghamton
    Day 66
    Springfield20h30
    Milwaukee
    Day 69
    Rockford Icehogs20h30
    Milwaukee
    Day 71
    Milwaukee22h30
    Quad City
    Day 72
    Milwaukee20h30
    Rockford Icehogs
    Day 74
    Hersey20h30
    Milwaukee
    Day 75
    Milwaukee22h30
    Lake Erie
    Day 78
    Springfield20h30
    Milwaukee
    Day 79
    Manchester20h30
    Milwaukee
    Day 81
    Milwaukee22h00
    Peroria
    Day 84
    Milwaukee22h00
    Peroria
    Day 85
    Worchester20h30
    Milwaukee
    Day 88
    Iowa20h30
    Milwaukee
    Day 91
    Norfolk20h30
    Milwaukee
    Day 93
    Milwaukee22h30
    Quad City
    Day 94
    Lake Erie20h30
    Milwaukee
    Day 97
    Milwaukee22h00
    Manchester
    Day 98
    Portland20h30
    Milwaukee
    Day 100
    Milwaukee22h00
    Iowa
    Day 102
    Hartford20h30
    Milwaukee
    Day 104
    Milwaukee20h30
    Worchester
    Day 106
    Houston20h30
    Milwaukee
    Day 108
    Milwaukee19h30
    Rochester
    Day 110
    Milwaukee22h30
    Lake Erie
    Day 111
    Syracuse20h30
    Milwaukee
    Day 114
    Farm Team 3220h30
    Milwaukee
    Day 116
    Worchester20h30
    Milwaukee
    Day 118
    Milwaukee19h30
    Philadelphie
    Day 119
    Quad City20h30
    Milwaukee
    Day 122
    Milwaukee22h30
    Houston
    Day 124
    Portland20h30
    Milwaukee
    Day 125
    Milwaukee22h00
    Manchester
    Day 126
    Milwaukee22h30
    Houston
    Day 128
    Hamilton20h30
    Milwaukee
    Day 130
    Milwaukee19h30
    Syracuse
    Day 132
    Milwaukee20h30
    Worchester
    Day 134
    Wilkes Barre20h30
    Milwaukee
    Day 136
    Albany20h30
    Milwaukee
    Day 139
    Milwaukee21h00
    Portland
    Day 140
    Milwaukee19h30
    Grand Rapids
    Day 141
    Manitoba20h30
    Milwaukee
    Day 144
    Iowa20h30
    Milwaukee
    Day 146
    Hershey20h30
    Milwaukee
    Day 147
    Milwaukee19h30
    Grand Rapids
    Day 149
    Milwaukee19h30
    Hartford
    Day 151
    Milwaukee19h30
    Providence
    Day 153
    Hershey20h30
    Milwaukee
    Day 155
    Milwaukee21h00
    Portland
    Day 157
    Manitoba20h30
    Milwaukee
    Roster
    Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
    Curtis Lazar0C/RW100.0079417965767478646865616463656482606222950,000$/2yrs
    Jonny Brodzinski0C/RW100.0067358365817467646062656265696653586124650,000$/2yrs
    Danny O'Regan0C/LW100.0058358465677560647467606462676455566023
    Kalle Kossila0LW100.0058357960677355606460606060696542585724925,000$/1yrs
    Stefan Matteau0C/LW100.0062357958847154585158575858676477585723650,000$/2yrs
    Filip Chytil (R)0C100.00543583598182545965605958595959845857181,275,000$/3yrs
    Victor Ejdsell (R)0C100.0062358456928153566557555756656344565722
    Michael Bournival0C/LW100.0069357954727352545054545654716662495525650,000$/2yrs
    Troy Terry (R)0RW100.00613584587275515652555754676159645855201,491,667$/3yrs
    Nathan Gerbe0C100.0052357058607065566556575554636149495430650,000$/3yrs
    Sami Niku (R)0D100.0057358965737750643066606457636249586020916,667$/3yrs
    Scratches
    TEAM AVERAGE100.00623681607575586059605959606563605658
    Filter Tips
    PriorityTypeDescription
    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
    10textAny 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
    Scratches
    TEAM AVERAGE0.000000000000000000
    Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
    General Manager
    Player Stats
    Filter Tips
    PriorityTypeDescription
    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
    10textAny 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
    Filter Tips
    PriorityTypeDescription
    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
    10textAny text entered in the filter will match text found within the column
    # Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
    Salary
    Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
    Curtis Lazar C/RW22950,000$950,000$ 950,000$
    Danny O'Regan C/LW230$0$
    Filip Chytil C181,275,000$1,275,000$ 1,275,000$ 1,275,000$
    Jonny Brodzinski C/RW24650,000$650,000$ 650,000$
    Kalle Kossila LW24925,000$925,000$
    Michael Bournival C/LW25650,000$650,000$ 650,000$
    Nathan Gerbe C30650,000$650,000$ 650,000$ 650,000$
    Sami Niku D20916,667$916,667$ 916,667$ 916,667$
    Stefan Matteau C/LW23650,000$650,000$ 650,000$
    Troy Terry RW201,491,667$1,491,667$ 1,491,667$ 1,491,667$
    Victor Ejdsell C220$0$

    Lines
    Forward Lines
    Defensive Pairings
    1st Power Play Unit
    2nd Power Play Unit
    Goalies
    Team Stats
    Filter Tips
    PriorityTypeDescription
    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
    10textAny 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
    Iowa2110000034-120.5003690051118329549012813295113622100.00%9366.67%013827650.00%13027447.45%15631449.68%51235854215727513550.0%10.3%86.2%96.6FUN
    Grand Rapids1010000012-100.00012300511183155490128131612223133.33%6183.33%013827650.00%13027447.45%15631449.68%5123585421572751350.0%6.7%87.5%94.2Unlucky
    Chicago1010000016-500.0001120051118314549012813143964300.00%8450.00%013827650.00%13027447.45%15631449.68%51235854215727513533.3%7.1%57.1%64.3Unlucky
    Lake Erie1010000001-100.00000000511183854901281365776300.00%6183.33%013827650.00%13027447.45%15631449.68%512358542157275135nan%0.0%83.3%83.3Unlucky
    Manitoba2200000042241.00048120151118324549012813146921310440.00%60100.00%013827650.00%13027447.45%15631449.68%5123585421572751350.0%16.7%85.7%102.4FUN
    Toronto1100000010121.00012301511183135490128131658045120.00%50100.00%013827650.00%13027447.45%15631449.68%512358542157275135nan%7.7%100.0%107.7DULL
    Hersey3200001093661.0009142301511183405490128132810951422627.27%10370.00%013827650.00%13027447.45%15631449.68%512358542157275135100.0%22.5%89.3%111.8FUN
    Rockford Icehogs2020000026-400.00024600511183225490128132778094125.00%15660.00%013827650.00%13027447.45%15631449.68%512358542157275135100.0%9.1%77.8%86.9FUN
    Quad City1000100043121.00048120051118312549012813846076350.00%5180.00%013827650.00%13027447.45%15631449.68%51235854215727513533.3%33.3%62.5%95.8FUN
    Manchester1010000012-100.00012300511183125490128131631495120.00%2150.00%013827650.00%13027447.45%15631449.68%5123585421572751350.0%8.3%87.5%95.8Unlucky
    Springfield2110000023-120.500246005111832554901281325622136233.33%6266.67%013827650.00%13027447.45%15631449.68%5123585421572751350.0%8.0%88.0%96.0Unlucky
    Worchester1000100021121.00023500511183105490128131132856116.67%4175.00%013827650.00%13027447.45%15631449.68%512358542157275135100.0%20.0%90.9%110.9FUN
    Syracuse1000010023-110.50024600511183195490128131117075240.00%5260.00%013827650.00%13027447.45%15631449.68%5123585421572751350.0%10.5%72.7%83.3FUN
    Houston2110000022020.500246005111832054901281324733105240.00%9188.89%013827650.00%13027447.45%15631449.68%5123585421572751350.0%10.0%91.7%101.7LUCKY
    Peroria1100000032121.00036900511183195490128131822565240.00%5180.00%013827650.00%13027447.45%15631449.68%51235854215727513550.0%15.8%88.9%104.7FUN
    _Vs Division913001001121-1030.16711213200511183112549012813118294244122731.82%521669.23%013827650.00%13027447.45%15631449.68%51235854215727513544.4%9.8%82.2%92.0FUN
    _Vs Conference20880211035341230.57535651000251118325554901281323360731107822732.93%882373.86%013827650.00%13027447.45%15631449.68%51235854215727513542.1%13.7%85.4%99.1FUN
    _Since Last GM Reset2299021103740-3250.56837681050351118328254901281326368907115902831.11%1012773.27%013827650.00%13027447.45%15631449.68%51235854215727513540.9%13.1%84.8%97.9FUN
    Total2299021103740-3250.56837681050351118328254901281326368907115902831.11%1012773.27%013827650.00%13027447.45%15631449.68%51235854215727513540.9%13.1%84.8%97.9FUN

    Puck Time
    Offensive Zone 23
    Neutral Zone 12
    Defensive Zone 24
    Puck Time
    Offensive Zone Start 276
    Neutral Zone Start 314
    Defensive Zone Start 274
    Puck Time
    With Puck 29
    Without Puck 30
    Faceoffs
    Faceoffs Won 424
    Faceoffs Lost 440
    Team Average Shots after League Average Shots after
    1st Period 2.59.57
    2nd Period 6.520.31
    3rd Period 12.430.68
    Overtime 13.031.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.20.64
    2nd Period 0.71.65
    3rd Period 1.52.67
    Overtime 1.72.83
    Even Strenght Goal 9
    PP Goal 28
    PK Goal 0
    Empty Net Goal 0
    Home Away
    Win 66
    Lost 54
    Overtime Lost 01
    PP Attempt 90
    PP Goal 28
    PK Attempt 101
    PK Goal Against 27
    Home
    Shots For 12.8
    Shots Against 12.0
    Goals For 1.7
    Goals Against 1.8
    Hits 5.2
    Shots Blocked 3.1
    Pim 41.2
    Schedule
    DateMatchup Result Detail
    2018-09-26MilwaukeeMilwaukee@MilwaukeeQuad CityMilwaukee4,Quad City3 (OT)RECAP
    2018-09-27MilwaukeeMilwaukee@MilwaukeeIowaMilwaukee0,Iowa2RECAP
    2018-09-29MilwaukeeIowa@MilwaukeeMilwaukeeIowa2,Milwaukee3RECAP
    2018-10-01MilwaukeeManchester@MilwaukeeMilwaukeeManchester2,Milwaukee1RECAP
    2018-10-03MilwaukeeMilwaukee@MilwaukeeHerseyMilwaukee3,Hersey2RECAP
    2018-10-05MilwaukeeWorchester@MilwaukeeMilwaukeeWorchester1,Milwaukee2 (OT)RECAP
    2018-10-06MilwaukeePeroria@MilwaukeeMilwaukeePeroria2,Milwaukee3RECAP
    2018-10-08MilwaukeeMilwaukee@MilwaukeeSpringfieldMilwaukee2,Springfield1RECAP
    2018-10-09MilwaukeeMilwaukee@MilwaukeeRockford IcehogsMilwaukee1,Rockford Icehogs2RECAP
    2018-10-11MilwaukeeRockford Icehogs@MilwaukeeMilwaukeeRockford Icehogs4,Milwaukee1RECAP
    2018-10-14MilwaukeeMilwaukee@MilwaukeeSyracuseMilwaukee2,Syracuse3 (OT)RECAP
    2018-10-15MilwaukeeHersey@MilwaukeeMilwaukeeHersey1,Milwaukee5RECAP
    2018-10-19MilwaukeeMilwaukee@MilwaukeeManitobaMilwaukee1,Manitoba0RECAP
    2018-10-21MilwaukeeHouston@MilwaukeeMilwaukeeHouston1,Milwaukee2RECAP
    2018-10-23MilwaukeeMilwaukee@MilwaukeeManitobaMilwaukee3,Manitoba2RECAP
    2018-10-24MilwaukeeMilwaukee@MilwaukeeHerseyMilwaukee1,Hersey0 (SO)RECAP
    2018-10-26MilwaukeeGrand Rapids@MilwaukeeMilwaukeeGrand Rapids2,Milwaukee1RECAP
    2018-10-28MilwaukeeToronto@MilwaukeeMilwaukeeToronto0,Milwaukee1RECAP
    2018-10-31MilwaukeeHouston@MilwaukeeMilwaukeeHouston1,Milwaukee0RECAP
    2018-11-02MilwaukeeMilwaukee@MilwaukeeSpringfieldMilwaukee0,Springfield2RECAP
    2018-11-04MilwaukeeMilwaukee@MilwaukeeChicagoMilwaukee1,Chicago6RECAP
    2018-11-05MilwaukeeLake Erie@MilwaukeeMilwaukeeLake Erie1,Milwaukee0RECAP
    2018-11-08MilwaukeeGrand Rapids@MilwaukeeMilwaukee
    2018-11-10MilwaukeeMilwaukee@MilwaukeeNorfolk
    2018-11-12MilwaukeeSyracuse@MilwaukeeMilwaukee
    2018-11-13MilwaukeeMilwaukee@MilwaukeeManitoba
    2018-11-15MilwaukeeMilwaukee@MilwaukeeIowa
    2018-11-17MilwaukeeMilwaukee@MilwaukeeBridgeport
    2018-11-18MilwaukeeQuad City@MilwaukeeMilwaukee
    2018-11-20MilwaukeeLowell@MilwaukeeMilwaukee
    2018-11-23MilwaukeeMilwaukee@MilwaukeeRochester
    2018-11-24MilwaukeePeroria@MilwaukeeMilwaukee
    2018-11-26MilwaukeeMilwaukee@MilwaukeeHersey
    2018-11-28MilwaukeeMilwaukee@MilwaukeeBinghamton
    2018-11-30MilwaukeeSpringfield@MilwaukeeMilwaukee
    2018-12-03MilwaukeeRockford Icehogs@MilwaukeeMilwaukee
    2018-12-05MilwaukeeMilwaukee@MilwaukeeQuad City
    2018-12-06MilwaukeeMilwaukee@MilwaukeeRockford Icehogs
    2018-12-08MilwaukeeHersey@MilwaukeeMilwaukee
    2018-12-09MilwaukeeMilwaukee@MilwaukeeLake Erie
    2018-12-12MilwaukeeSpringfield@MilwaukeeMilwaukee
    2018-12-13MilwaukeeManchester@MilwaukeeMilwaukee
    2018-12-15MilwaukeeMilwaukee@MilwaukeePeroria
    2018-12-18MilwaukeeMilwaukee@MilwaukeePeroria
    2018-12-19MilwaukeeWorchester@MilwaukeeMilwaukee
    2018-12-22MilwaukeeIowa@MilwaukeeMilwaukee
    2018-12-25MilwaukeeNorfolk@MilwaukeeMilwaukee
    2018-12-27MilwaukeeMilwaukee@MilwaukeeQuad City
    2018-12-28MilwaukeeLake Erie@MilwaukeeMilwaukee
    2018-12-31MilwaukeeMilwaukee@MilwaukeeManchester
    2019-01-01MilwaukeePortland@MilwaukeeMilwaukee
    2019-01-03MilwaukeeMilwaukee@MilwaukeeIowa
    2019-01-05MilwaukeeHartford@MilwaukeeMilwaukee
    2019-01-07MilwaukeeMilwaukee@MilwaukeeWorchester
    2019-01-09MilwaukeeHouston@MilwaukeeMilwaukee
    2019-01-11MilwaukeeMilwaukee@MilwaukeeRochester
    2019-01-13MilwaukeeMilwaukee@MilwaukeeLake Erie
    2019-01-14MilwaukeeSyracuse@MilwaukeeMilwaukee
    2019-01-17MilwaukeeFarm Team 32@MilwaukeeMilwaukee
    2019-01-19MilwaukeeWorchester@MilwaukeeMilwaukee
    2019-01-21MilwaukeeMilwaukee@MilwaukeePhiladelphie
    2019-01-22MilwaukeeQuad City@MilwaukeeMilwaukee
    2019-01-25MilwaukeeMilwaukee@MilwaukeeHouston
    2019-01-27MilwaukeePortland@MilwaukeeMilwaukee
    2019-01-28MilwaukeeMilwaukee@MilwaukeeManchester
    2019-01-29MilwaukeeMilwaukee@MilwaukeeHouston
    2019-01-31MilwaukeeHamilton@MilwaukeeMilwaukee
    2019-02-02MilwaukeeMilwaukee@MilwaukeeSyracuse
    2019-02-04MilwaukeeMilwaukee@MilwaukeeWorchester
    2019-02-06MilwaukeeWilkes Barre@MilwaukeeMilwaukee
    2019-02-08MilwaukeeAlbany@MilwaukeeMilwaukee
    2019-02-11MilwaukeeMilwaukee@MilwaukeePortland
    2019-02-12MilwaukeeMilwaukee@MilwaukeeGrand Rapids
    2019-02-13MilwaukeeManitoba@MilwaukeeMilwaukee
    2019-02-16MilwaukeeIowa@MilwaukeeMilwaukee
    2019-02-18MilwaukeeHershey@MilwaukeeMilwaukee
    2019-02-19MilwaukeeMilwaukee@MilwaukeeGrand Rapids
    2019-02-21MilwaukeeMilwaukee@MilwaukeeHartford
    2019-02-23MilwaukeeMilwaukee@MilwaukeeProvidence
    2019-02-25MilwaukeeHershey@MilwaukeeMilwaukee
    2019-02-27MilwaukeeMilwaukee@MilwaukeePortland
    2019-03-01MilwaukeeManitoba@MilwaukeeMilwaukee

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    8,158,334$ 0$ 0$ 75,000,000$

    ArenaAbout us
    Name
    CityMilwaukee
    Capacity3000
    Season Ticket Holders10%

    Arena Capacity - Ticket Price Attendance - %
    Arena Capacity20001000
    Ticket Price35$15$$$$
    Attendance00
    Attendance PCT0.00%0.00%0.00%0.00%0.00%

    Income
    Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
    30 0 - 0.00% 0$0$3000100

    Expenses
    Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
    8,158,334$ 8,158,334$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    2,107,220$ 0$ 2,107,220$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 135 51,310$ 6,003,270$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    6,003,270$ 0$ 0$ 0$

    Sponsors
    TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
    Depth Chart RookieInjured Cold Streak Hot Streak
    Left WingCenterRight Wing

    Defense #1Defense #2Goalie

    Transactions



    Injuries
    No Injury or Suspension.

    GAME CENTER

    Milwaukee12-9-1, 25pts16Final
    Chicago14-5-2, 30pts

    Lake Erie10-9-2, 22pts10Final
    Milwaukee12-9-1, 25pts

    Lake Erie10-9-2, 22ptsTue, Nov 06
    Milwaukee12-9-1, 25pts

    Milwaukee12-9-1, 25ptsFri, Sep 28
    Iowa5-9-7, 17pts

    Iowa5-9-7, 17ptsSun, Sep 30
    Milwaukee12-9-1, 25pts

    TRANSACTIONS



     
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    Friday, Nov. 09
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    Team Information
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    Milwaukee
    Head Coach
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    CityMilwaukee
    Arena