lhs1quebec.com THE OFFICIAL SITE OF THE Milwaukee
MilwaukeeMilwaukeeNashville PredatorsMilwaukee
  • Scores
  • Schedule
  • Standings
  • Power Ranking
  • Forum
  • Milwaukee


    Milwaukee



    W:29 | L:20 | OTL:2 | PTS:60

    Goals For
    83
    Goals Against
    81
    Power Play
    24.1%
    Penalty Kill
    76.4%
    Team Chemistry
    67
    Team Overall
    58
    Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.
    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/RW100.0079417965767478646865616463656482686222950,000$/2yrs
    Jonny Brodzinski0C/RW100.0067358365817467646062656265696653666124650,000$/2yrs
    Danny O'Regan0C/LW100.0058358465677560647467606462676455636023
    Kalle Kossila0LW100.0058357960677355606460606060696542665724925,000$/1yrs
    Stefan Matteau0C/LW100.0062357958847154585158575858676477665723650,000$/2yrs
    Filip Chytil (R)0C100.00543583598182545965605958595959846657181,275,000$/3yrs
    Victor Ejdsell (R)0C100.0062358456928153566557555756656344635722
    Michael Bournival0C/LW100.0069357954727352545054545654716662565525650,000$/2yrs
    Troy Terry (R)0RW100.00613584587275515652555754676159646655201,491,667$/3yrs
    Nathan Gerbe0C100.0052357058607065566556575554636149565430650,000$/3yrs
    Sami Niku (R)0D100.0057358965737750643066606457636249666020916,667$/3yrs
    Scratches
    TEAM AVERAGE100.00623681607575586059605959606563606458
    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
    Portland1010000001-100.0000000010253814191262082874272164600.00%3166.67%034166251.51%34769549.93%34470149.07%12188661263353618308nan%0.0%85.7%85.7Unlucky
    Iowa41300000711-420.250714210010253814541262082874261152311414535.71%23865.22%134166251.51%34769549.93%34470149.07%1218866126335361830840.0%13.0%82.0%94.9FUN
    Grand Rapids2110000044020.50048120010253814291262082874233102898337.50%9188.89%034166251.51%34769549.93%34470149.07%1218866126335361830825.0%13.8%87.9%101.7FUN
    Chicago1010000016-500.00011200102538141412620828742143964300.00%8450.00%034166251.51%34769549.93%34470149.07%1218866126335361830833.3%7.1%57.1%64.3Unlucky
    Lake Erie3020100045-120.33347110010253814331262082874238101881410220.00%14378.57%034166251.51%34769549.93%34470149.07%1218866126335361830850.0%12.1%86.8%99.0FUN
    Manitoba3210000054140.66751015011025381431126208287423071351810440.00%10190.00%034166251.51%34769549.93%34470149.07%1218866126335361830825.0%16.1%86.7%102.8FUN
    Toronto1100000010121.000123011025381413126208287421658045120.00%50100.00%034166251.51%34769549.93%34470149.07%12188661263353618308nan%7.7%100.0%107.7DULL
    Hersey530010101459101.0001424380210253814691262082874260181472728828.57%21576.19%034166251.51%34769549.93%34470149.07%12188661263353618308100.0%20.3%91.7%112.0LUCKY
    Lowell1100000021121.000246001025381411126208287421952784125.00%6183.33%034166251.51%34769549.93%34470149.07%12188661263353618308100.0%18.2%94.7%112.9LUCKY
    Rockford Icehogs4020002079-240.500710170010253814511262082874250111781914321.43%19857.89%034166251.51%34769549.93%34470149.07%1218866126335361830880.0%13.7%82.0%95.7FUN
    Quad City4100200186270.875816240210253814611262082874239141632619526.32%14378.57%034166251.51%34769549.93%34470149.07%1218866126335361830850.0%13.1%84.6%97.7FUN
    Rochester1100000030321.000358011025381417126208287421014185240.00%30100.00%034166251.51%34769549.93%34470149.07%12188661263353618308100.0%17.6%100.0%117.6LUCKY
    Manchester3120000024-220.333246011025381430126208287424010482112216.67%9277.78%034166251.51%34769549.93%34470149.07%121886612633536183080.0%6.7%90.0%96.7Unlucky
    Norfolk2200000031241.00036901102538142712620828742261037108225.00%10190.00%034166251.51%34769549.93%34470149.07%12188661263353618308100.0%11.1%96.2%107.3LUCKY
    Springfield4120001045-140.5004610001025381445126208287425420512716318.75%18383.33%034166251.51%34769549.93%34470149.07%1218866126335361830833.3%8.9%90.7%99.6Unlucky
    Binghamton1010000001-100.000000001025381417126208287421741053700.00%5180.00%034166251.51%34769549.93%34470149.07%12188661263353618308nan%0.0%94.1%94.1DULL
    Worchester2010100034-120.5003580010253814201262082874225691131119.09%8362.50%034166251.51%34769549.93%34470149.07%1218866126335361830866.7%15.0%84.0%99.0FUN
    Bridgeport1000100021121.00024600102538146126208287422361324125.00%4175.00%034166251.51%34769549.93%34470149.07%12188661263353618308100.0%33.3%95.7%129.0LUCKY
    Syracuse2100010054130.75051015001025381434126208287421721491711327.27%7357.14%034166251.51%34769549.93%34470149.07%1218866126335361830866.7%14.7%76.5%91.2FUN
    Houston2110000022020.5002460010253814201262082874224733105240.00%9188.89%034166251.51%34769549.93%34470149.07%121886612633536183080.0%10.0%91.7%101.7LUCKY
    Peroria4220000067-140.500612180010253814471262082874262111451916425.00%20385.00%034166251.51%34769549.93%34470149.07%1218866126335361830833.3%12.8%88.7%101.5FUN
    _Vs Division1845001202740-13130.3612748750010253814219126208287422495787180621625.81%932770.97%134166251.51%34769549.93%34470149.07%1218866126335361830845.8%12.3%83.9%96.3FUN
    _Vs Conference4314180514171710480.5587113020106102538145431262082874254014316032381804525.00%1844575.54%134166251.51%34769549.93%34470149.07%1218866126335361830850.0%13.1%86.9%99.9FUN
    _Since Last GM Reset5119200614183812600.5888315223509102538146481262082874266517720022772165224.07%2255376.44%134166251.51%34769549.93%34470149.07%1218866126335361830852.5%12.8%87.8%100.6FUN
    Total5119200614183812600.5888315223509102538146481262082874266517720022772165224.07%2255376.44%134166251.51%34769549.93%34470149.07%1218866126335361830852.5%12.8%87.8%100.6FUN

    Puck Time
    Offensive Zone 23
    Neutral Zone 12
    Defensive Zone 24
    Puck Time
    Offensive Zone Start 662
    Neutral Zone Start 701
    Defensive Zone Start 695
    Puck Time
    With Puck 29
    Without Puck 30
    Faceoffs
    Faceoffs Won 1032
    Faceoffs Lost 1026
    Team Average Shots after League Average Shots after
    1st Period 2.59.57
    2nd Period 6.520.31
    3rd Period 12.230.68
    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 1.42.67
    Overtime 1.72.83
    Even Strenght Goal 30
    PP Goal 52
    PK Goal 1
    Empty Net Goal 0
    Home Away
    Win 1514
    Lost 119
    Overtime Lost 02
    PP Attempt 216
    PP Goal 52
    PK Attempt 225
    PK Goal Against 53
    Home
    Shots For 12.7
    Shots Against 13.0
    Goals For 1.6
    Goals Against 1.6
    Hits 5.4
    Shots Blocked 3.5
    Pim 39.3
    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@MilwaukeeMilwaukeeGrand Rapids2,Milwaukee3RECAP
    2018-11-10MilwaukeeMilwaukee@MilwaukeeNorfolkMilwaukee2,Norfolk1RECAP
    2018-11-12MilwaukeeSyracuse@MilwaukeeMilwaukeeSyracuse1,Milwaukee3RECAP
    2018-11-13MilwaukeeMilwaukee@MilwaukeeManitobaMilwaukee1,Manitoba2RECAP
    2018-11-15MilwaukeeMilwaukee@MilwaukeeIowaMilwaukee0,Iowa2RECAP
    2018-11-17MilwaukeeMilwaukee@MilwaukeeBridgeportMilwaukee2,Bridgeport1 (OT)RECAP
    2018-11-18MilwaukeeQuad City@MilwaukeeMilwaukeeQuad City0,Milwaukee1 (OT)RECAP
    2018-11-20MilwaukeeLowell@MilwaukeeMilwaukeeLowell1,Milwaukee2RECAP
    2018-11-23MilwaukeeMilwaukee@MilwaukeeRochesterMilwaukee3,Rochester0RECAP
    2018-11-24MilwaukeePeroria@MilwaukeeMilwaukeePeroria2,Milwaukee0RECAP
    2018-11-26MilwaukeeMilwaukee@MilwaukeeHerseyMilwaukee3,Hersey2 (OT)RECAP
    2018-11-28MilwaukeeMilwaukee@MilwaukeeBinghamtonMilwaukee0,Binghamton1RECAP
    2018-11-30MilwaukeeSpringfield@MilwaukeeMilwaukeeSpringfield1,Milwaukee0RECAP
    2018-12-03MilwaukeeRockford Icehogs@MilwaukeeMilwaukeeRockford Icehogs2,Milwaukee3 (SO)RECAP
    2018-12-05MilwaukeeMilwaukee@MilwaukeeQuad CityMilwaukee2,Quad City3 (SO)RECAP
    2018-12-06MilwaukeeMilwaukee@MilwaukeeRockford IcehogsMilwaukee2,Rockford Icehogs1 (SO)RECAP
    2018-12-08MilwaukeeHersey@MilwaukeeMilwaukeeHersey0,Milwaukee2RECAP
    2018-12-09MilwaukeeMilwaukee@MilwaukeeLake ErieMilwaukee1,Lake Erie2RECAP
    2018-12-12MilwaukeeSpringfield@MilwaukeeMilwaukeeSpringfield1,Milwaukee2 (SO)RECAP
    2018-12-13MilwaukeeManchester@MilwaukeeMilwaukeeManchester2,Milwaukee0RECAP
    2018-12-15MilwaukeeMilwaukee@MilwaukeePeroriaMilwaukee2,Peroria1RECAP
    2018-12-18MilwaukeeMilwaukee@MilwaukeePeroriaMilwaukee1,Peroria2RECAP
    2018-12-19MilwaukeeWorchester@MilwaukeeMilwaukeeWorchester3,Milwaukee1RECAP
    2018-12-22MilwaukeeIowa@MilwaukeeMilwaukeeIowa5,Milwaukee4RECAP
    2018-12-25MilwaukeeNorfolk@MilwaukeeMilwaukeeNorfolk0,Milwaukee1RECAP
    2018-12-27MilwaukeeMilwaukee@MilwaukeeQuad CityMilwaukee1,Quad City0RECAP
    2018-12-28MilwaukeeLake Erie@MilwaukeeMilwaukeeLake Erie2,Milwaukee3 (OT)RECAP
    2018-12-31MilwaukeeMilwaukee@MilwaukeeManchesterMilwaukee1,Manchester0RECAP
    2019-01-01MilwaukeePortland@MilwaukeeMilwaukeePortland1,Milwaukee0RECAP
    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
    15 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
    5,031,890$ 0$ 5,031,890$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 78 51,310$ 3,078,600$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    3,078,600$ 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

    Milwaukee29-20-2, 60pts10Final
    Manchester30-16-6, 66pts

    Portland24-20-8, 56pts10Final
    Milwaukee29-20-2, 60pts

    Portland24-20-8, 56ptsWed, Jan 02
    Milwaukee29-20-2, 60pts

    Milwaukee29-20-2, 60ptsFri, Sep 28
    Iowa20-22-8, 48pts

    Iowa20-22-8, 48ptsSun, Sep 30
    Milwaukee29-20-2, 60pts

    TRANSACTIONS



     
    NEXT HOME GAME

    Sunday, Jan. 06
    vs
    PRESENTED BY
    LEADERBOARD
    Expanded Player Leaderboard
    Team Information
    Milwaukee
    Milwaukee
    Head Coach
    General Manager
    CityMilwaukee
    Arena