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  • Farm Team 32


    Farm Team 32



    W:34 | L:12 | OTL:5 | PTS:73

    Goals For
    78
    Goals Against
    58
    Power Play
    23.4%
    Penalty Kill
    85.4%
    Team Chemistry
    76
    Team Overall
    65
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    Day 100
    Manchester19h30
    Farm Team 32
    Day 102
    Farm Team 3219h30
    Binghamton
    Day 103
    Wilkes Barre19h30
    Farm Team 32
    Day 107
    Manchester19h30
    Farm Team 32
    Day 109
    Rochester19h30
    Farm Team 32
    Day 110
    Farm Team 3219h30
    Providence
    Day 112
    Farm Team 3222h00
    Manchester
    Day 114
    Farm Team 3220h30
    Milwaukee
    Day 115
    Wilkes Barre19h30
    Farm Team 32
    Day 117
    Rochester19h30
    Farm Team 32
    Day 119
    Farm Team 3221h00
    Portland
    Day 121
    Albany19h30
    Farm Team 32
    Day 122
    Farm Team 3219h30
    Norfolk
    Day 124
    Farm Team 3219h30
    Chicago
    Day 125
    Hershey19h30
    Farm Team 32
    Day 127
    Lake Erie19h30
    Farm Team 32
    Day 129
    Farm Team 3219h30
    Norfolk
    Day 131
    Farm Team 3219h30
    Hartford
    Day 133
    Houston19h30
    Farm Team 32
    Day 134
    Farm Team 3219h30
    Hartford
    Day 136
    Farm Team 3220h30
    Manitoba
    Day 137
    Farm Team 3219h30
    Rochester
    Day 139
    Bridgeport19h30
    Farm Team 32
    Day 141
    Quad City19h30
    Farm Team 32
    Day 142
    Farm Team 3219h30
    Chicago
    Day 145
    Farm Team 3219h30
    Hamilton
    Day 146
    Binghamton19h30
    Farm Team 32
    Day 147
    Farm Team 3219h30
    Toronto
    Day 150
    Norfolk19h30
    Farm Team 32
    Day 153
    Binghamton19h30
    Farm Team 32
    Day 158
    Norfolk19h30
    Farm Team 32
    Roster
    Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
    Sam Bennett0C/LW/RW100.00753870687782956774666670676363896665213,194,000$/1yrs
    Ty Rattie0RW100.0059358975698457745070756275696674666524700,000$/2yrs
    Tobias Rieder0LW/RW100.00703588687082916764666770676965576665241,891,250$/1yrs
    Barclay Goodrow0LW/RW100.0072477767827660668265667466696642666424650,000$/2yrs
    Gemel Smith0C/LW100.0064417566687459656964666466676460666123650,000$/1yrs
    Scratches
    TEAM AVERAGE100.00683980697380726868666868686765646664
    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
    1Alex Lyon100.00776968787675777675777671754263720
    Scratches
    TEAM AVERAGE100.0077696878767577767577767175426372
    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
    Alex Lyon G240$0$
    Barclay Goodrow LW/RW24650,000$650,000$ 650,000$
    Gemel Smith C/LW23650,000$650,000$
    Sam Bennett C/LW/RW213,194,000$3,194,000$
    Tobias Rieder LW/RW241,891,250$1,891,250$
    Ty Rattie RW24700,000$700,000$ 700,000$

    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
    Providence3110001046-240.6674610001135269351162252513748151362017317.65%18383.33%031464848.46%32166248.49%31164348.37%1205855128734961630725.0%11.4%87.5%98.9FUN
    Hamilton3300000063361.00061218011135269391162252513743191081615426.67%14192.86%031464848.46%32166248.49%31164348.37%1205855128734961630750.0%15.4%93.0%108.4LUCKY
    Iowa1100000021121.00024600113526911116225251371541254250.00%6183.33%031464848.46%32166248.49%31164348.37%12058551287349616307nan%18.2%93.3%111.5LUCKY
    Wilkes Barre3210000044040.66748120111352693511622525137359121815320.00%13284.62%031464848.46%32166248.49%31164348.37%1205855128734961630733.3%11.4%88.6%100.0FUN
    Hartford2110000022020.500246011135269231162252513727782128112.50%7271.43%031464848.46%32166248.49%31164348.37%12058551287349616307100.0%8.7%92.6%101.3DULL
    Grand Rapids1100000041321.000481200113526913116225251371287054375.00%5180.00%031464848.46%32166248.49%31164348.37%12058551287349616307100.0%30.8%91.7%122.4LUCKY
    Chicago2100001030341.000347021135269171162252513717101912200.00%70100.00%031464848.46%32166248.49%31164348.37%12058551287349616307100.0%17.6%100.0%117.6LUCKY
    Hershey3010011034-130.50034701113526936116225251373451131213215.38%14378.57%031464848.46%32166248.49%31164348.37%1205855128734961630750.0%8.3%88.2%96.6Unlucky
    Toronto3210000073440.66771421011135269421162252513738181291313646.15%12191.67%031464848.46%32166248.49%31164348.37%1205855128734961630733.3%16.7%92.1%108.8LUCKY
    Hersey1010000034-100.000369001135269221162252513713210095120.00%5340.00%031464848.46%32166248.49%31164348.37%1205855128734961630766.7%13.6%69.2%82.9FUN
    Lowell4200011064270.87561016021135269551162252513737141532417423.53%19384.21%031464848.46%32166248.49%31164348.37%1205855128734961630766.7%10.9%89.2%100.1FUN
    Rockford Icehogs1000010001-110.500000001135269911622525137195262400.00%30100.00%031464848.46%32166248.49%31164348.37%120585512873496163070.0%0.0%94.7%94.7DULL
    Albany3210000053240.667591401113526923116225251374411180119222.22%10280.00%031464848.46%32166248.49%31164348.37%1205855128734961630775.0%21.7%93.2%114.9LUCKY
    Rochester2200000042241.00048120111352692311622525137311627168225.00%60100.00%031464848.46%32166248.49%31164348.37%1205855128734961630750.0%17.4%93.5%110.9LUCKY
    Philadelphie5220000146-250.5004812021135269621162252513767161363215213.33%18194.44%031464848.46%32166248.49%31164348.37%1205855128734961630728.6%6.5%91.0%97.5Unlucky
    Springfield1100000031221.0003690011352696116225251371882034250.00%50100.00%131464848.46%32166248.49%31164348.37%1205855128734961630750.0%50.0%94.4%144.4LUCKY
    Binghamton1100000010121.0001230111352691811622525137801344125.00%40100.00%031464848.46%32166248.49%31164348.37%12058551287349616307nan%5.6%100.0%105.6DULL
    Worchester1000001010121.0001010111352691111622525137117185500.00%40100.00%031464848.46%32166248.49%31164348.37%12058551287349616307100.0%9.1%100.0%109.1LUCKY
    Bridgeport3120000057-220.3335914001135269361162252513743121531214428.57%14564.29%031464848.46%32166248.49%31164348.37%1205855128734961630733.3%13.9%83.7%97.6FUN
    Syracuse2100000111030.75012301113526928116225251372772988112.50%70100.00%031464848.46%32166248.49%31164348.37%120585512873496163070.0%3.6%96.3%99.9DULL
    Rochester3200001073461.00071219011135269371162252513736141292313323.08%12283.33%031464848.46%32166248.49%31164348.37%1205855128734961630780.0%18.9%91.7%110.6LUCKY
    Peroria3210000032140.667369011135269251162252513744211651612325.00%10190.00%031464848.46%32166248.49%31164348.37%120585512873496163070.0%12.0%95.5%107.5LUCKY
    _Vs Division168600111331815200.625336295051135269207116225251372169061297742229.73%71888.73%031464848.46%32166248.49%31164348.37%1205855128734961630752.4%15.9%91.7%107.6LUCKY
    _Vs Conference40221000251614714570.7136111017101511352694811162252513750816614992151633722.70%1682585.12%031464848.46%32166248.49%31164348.37%1205855128734961630752.2%12.7%90.7%103.4FUN
    _Since Last GM Reset51281200362785820730.7167814222001811352696061162252513766722819392682094923.44%2133185.45%131464848.46%32166248.49%31164348.37%1205855128734961630751.8%12.9%91.3%104.2LUCKY
    Total51281200362785820730.7167814222001811352696061162252513766722819392682094923.44%2133185.45%131464848.46%32166248.49%31164348.37%1205855128734961630751.8%12.9%91.3%104.2LUCKY

    Puck Time
    Offensive Zone 23
    Neutral Zone 12
    Defensive Zone 25
    Puck Time
    Offensive Zone Start 648
    Neutral Zone Start 643
    Defensive Zone Start 662
    Puck Time
    With Puck 29
    Without Puck 31
    Faceoffs
    Faceoffs Won 946
    Faceoffs Lost 1007
    Team Average Shots after League Average Shots after
    1st Period 2.39.57
    2nd Period 6.720.31
    3rd Period 11.630.68
    Overtime 12.331.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.20.64
    2nd Period 0.91.65
    3rd Period 1.42.67
    Overtime 1.62.83
    Even Strenght Goal 28
    PP Goal 49
    PK Goal 1
    Empty Net Goal 0
    Home Away
    Win 1915
    Lost 57
    Overtime Lost 14
    PP Attempt 209
    PP Goal 49
    PK Attempt 213
    PK Goal Against 31
    Home
    Shots For 11.9
    Shots Against 13.1
    Goals For 1.5
    Goals Against 1.1
    Hits 5.3
    Shots Blocked 4.5
    Pim 38.0
    Schedule
    DateMatchup Result Detail
    2018-09-26Farm Team 32Farm Team 32@Farm Team 32PhiladelphieFarm Team 320,Philadelphie3RECAP
    2018-09-28Farm Team 32Hershey@Farm Team 32Farm Team 32Hershey1,Farm Team 320RECAP
    2018-09-29Farm Team 32Farm Team 32@Farm Team 32Wilkes BarreFarm Team 322,Wilkes Barre0RECAP
    2018-10-01Farm Team 32Hartford@Farm Team 32Farm Team 32Hartford2,Farm Team 321RECAP
    2018-10-03Farm Team 32Peroria@Farm Team 32Farm Team 32Peroria1,Farm Team 322RECAP
    2018-10-04Farm Team 32Farm Team 32@Farm Team 32LowellFarm Team 321,Lowell0RECAP
    2018-10-06Farm Team 32Farm Team 32@Farm Team 32HamiltonFarm Team 323,Hamilton2RECAP
    2018-10-08Farm Team 32Providence@Farm Team 32Farm Team 32Providence1,Farm Team 322RECAP
    2018-10-09Farm Team 32Farm Team 32@Farm Team 32AlbanyFarm Team 320,Albany2RECAP
    2018-10-11Farm Team 32Hamilton@Farm Team 32Farm Team 32Hamilton0,Farm Team 321RECAP
    2018-10-13Farm Team 32Farm Team 32@Farm Team 32Wilkes BarreFarm Team 322,Wilkes Barre1RECAP
    2018-10-16Farm Team 32Farm Team 32@Farm Team 32RochesterFarm Team 323,Rochester2RECAP
    2018-10-18Farm Team 32Toronto@Farm Team 32Farm Team 32Toronto2,Farm Team 321RECAP
    2018-10-20Farm Team 32Philadelphie@Farm Team 32Farm Team 32Philadelphie1,Farm Team 320RECAP
    2018-10-23Farm Team 32Farm Team 32@Farm Team 32PhiladelphieFarm Team 322,Philadelphie0RECAP
    2018-10-24Farm Team 32Lowell@Farm Team 32Farm Team 32Lowell2,Farm Team 323 (SO)RECAP
    2018-10-26Farm Team 32Farm Team 32@Farm Team 32TorontoFarm Team 324,Toronto0RECAP
    2018-10-29Farm Team 32Farm Team 32@Farm Team 32RochesterFarm Team 322,Rochester1 (SO)RECAP
    2018-10-30Farm Team 32Chicago@Farm Team 32Farm Team 32Chicago0,Farm Team 321 (SO)RECAP
    2018-11-02Farm Team 32Farm Team 32@Farm Team 32LowellFarm Team 321,Lowell2 (OT)RECAP
    2018-11-03Farm Team 32Philadelphie@Farm Team 32Farm Team 32Philadelphie0,Farm Team 321RECAP
    2018-11-05Farm Team 32Iowa@Farm Team 32Farm Team 32Iowa1,Farm Team 322RECAP
    2018-11-07Farm Team 32Farm Team 32@Farm Team 32BridgeportFarm Team 320,Bridgeport3RECAP
    2018-11-10Farm Team 32Hartford@Farm Team 32Farm Team 32Hartford0,Farm Team 321RECAP
    2018-11-12Farm Team 32Farm Team 32@Farm Team 32PhiladelphieFarm Team 321,Philadelphie2 (SO)RECAP
    2018-11-13Farm Team 32Farm Team 32@Farm Team 32PeroriaFarm Team 321,Peroria0RECAP
    2018-11-15Farm Team 32Lowell@Farm Team 32Farm Team 32Lowell0,Farm Team 321RECAP
    2018-11-17Farm Team 32Hamilton@Farm Team 32Farm Team 32Hamilton1,Farm Team 322RECAP
    2018-11-19Farm Team 32Farm Team 32@Farm Team 32HersheyFarm Team 322,Hershey3 (OT)RECAP
    2018-11-20Farm Team 32Farm Team 32@Farm Team 32AlbanyFarm Team 323,Albany1RECAP
    2018-11-22Farm Team 32Providence@Farm Team 32Farm Team 32Providence1,Farm Team 322 (SO)RECAP
    2018-11-24Farm Team 32Farm Team 32@Farm Team 32Rockford IcehogsFarm Team 320,Rockford Icehogs1 (OT)RECAP
    2018-11-26Farm Team 32Toronto@Farm Team 32Farm Team 32Toronto1,Farm Team 322RECAP
    2018-11-28Farm Team 32Farm Team 32@Farm Team 32BridgeportFarm Team 321,Bridgeport2RECAP
    2018-11-30Farm Team 32Peroria@Farm Team 32Farm Team 32Peroria1,Farm Team 320RECAP
    2018-12-03Farm Team 32Chicago@Farm Team 32Farm Team 32Chicago0,Farm Team 322RECAP
    2018-12-04Farm Team 32Farm Team 32@Farm Team 32BinghamtonFarm Team 321,Binghamton0RECAP
    2018-12-07Farm Team 32Worchester@Farm Team 32Farm Team 32Worchester0,Farm Team 321 (SO)RECAP
    2018-12-09Farm Team 32Farm Team 32@Farm Team 32HerseyFarm Team 323,Hersey4RECAP
    2018-12-10Farm Team 32Farm Team 32@Farm Team 32ProvidenceFarm Team 320,Providence4RECAP
    2018-12-12Farm Team 32Grand Rapids@Farm Team 32Farm Team 32Grand Rapids1,Farm Team 324RECAP
    2018-12-14Farm Team 32Rochester@Farm Team 32Farm Team 32Rochester0,Farm Team 321RECAP
    2018-12-18Farm Team 32Farm Team 32@Farm Team 32SpringfieldFarm Team 323,Springfield1RECAP
    2018-12-19Farm Team 32Albany@Farm Team 32Farm Team 32Albany0,Farm Team 322RECAP
    2018-12-21Farm Team 32Farm Team 32@Farm Team 32SyracuseFarm Team 321,Syracuse0RECAP
    2018-12-23Farm Team 32Syracuse@Farm Team 32Farm Team 32Syracuse1,Farm Team 320 (SO)RECAP
    2018-12-26Farm Team 32Bridgeport@Farm Team 32Farm Team 32Bridgeport2,Farm Team 324RECAP
    2018-12-28Farm Team 32Farm Team 32@Farm Team 32Wilkes BarreFarm Team 320,Wilkes Barre3RECAP
    2018-12-29Farm Team 32Farm Team 32@Farm Team 32RochesterFarm Team 322,Rochester0RECAP
    2018-12-31Farm Team 32Rochester@Farm Team 32Farm Team 32Rochester2,Farm Team 323RECAP
    2019-01-02Farm Team 32Farm Team 32@Farm Team 32HersheyFarm Team 321,Hershey0 (SO)RECAP
    2019-01-03Farm Team 32Manchester@Farm Team 32Farm Team 32
    2019-01-05Farm Team 32Farm Team 32@Farm Team 32Binghamton
    2019-01-06Farm Team 32Wilkes Barre@Farm Team 32Farm Team 32
    2019-01-10Farm Team 32Manchester@Farm Team 32Farm Team 32
    2019-01-12Farm Team 32Rochester@Farm Team 32Farm Team 32
    2019-01-13Farm Team 32Farm Team 32@Farm Team 32Providence
    2019-01-15Farm Team 32Farm Team 32@Farm Team 32Manchester
    2019-01-17Farm Team 32Farm Team 32@Farm Team 32Milwaukee
    2019-01-18Farm Team 32Wilkes Barre@Farm Team 32Farm Team 32
    2019-01-20Farm Team 32Rochester@Farm Team 32Farm Team 32
    2019-01-22Farm Team 32Farm Team 32@Farm Team 32Portland
    2019-01-24Farm Team 32Albany@Farm Team 32Farm Team 32
    2019-01-25Farm Team 32Farm Team 32@Farm Team 32Norfolk
    2019-01-27Farm Team 32Farm Team 32@Farm Team 32Chicago
    2019-01-28Farm Team 32Hershey@Farm Team 32Farm Team 32
    2019-01-30Farm Team 32Lake Erie@Farm Team 32Farm Team 32
    2019-02-01Farm Team 32Farm Team 32@Farm Team 32Norfolk
    2019-02-03Farm Team 32Farm Team 32@Farm Team 32Hartford
    2019-02-05Farm Team 32Houston@Farm Team 32Farm Team 32
    2019-02-06Farm Team 32Farm Team 32@Farm Team 32Hartford
    2019-02-08Farm Team 32Farm Team 32@Farm Team 32Manitoba
    2019-02-09Farm Team 32Farm Team 32@Farm Team 32Rochester
    2019-02-11Farm Team 32Bridgeport@Farm Team 32Farm Team 32
    2019-02-13Farm Team 32Quad City@Farm Team 32Farm Team 32
    2019-02-14Farm Team 32Farm Team 32@Farm Team 32Chicago
    2019-02-17Farm Team 32Farm Team 32@Farm Team 32Hamilton
    2019-02-18Farm Team 32Binghamton@Farm Team 32Farm Team 32
    2019-02-19Farm Team 32Farm Team 32@Farm Team 32Toronto
    2019-02-22Farm Team 32Norfolk@Farm Team 32Farm Team 32
    2019-02-25Farm Team 32Binghamton@Farm Team 32Farm Team 32
    2019-03-02Farm Team 32Norfolk@Farm Team 32Farm Team 32

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    7,085,250$ 0$ 0$ 75,000,000$

    ArenaAbout us
    Name
    City
    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
    16 0 - 0.00% 0$0$3000100

    Expenses
    Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
    7,085,250$ 7,085,250$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    4,411,539$ 0$ 4,411,539$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 78 44,561$ 2,673,660$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    2,673,660$ 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

    Rochester23-23-5, 51pts23Final
    Farm Team 3234-12-5, 73pts

    Farm Team 3234-12-5, 73pts10Final
    Hershey27-17-7, 61pts

    Farm Team 3234-12-5, 73ptsThu, Jan 03
    Hershey27-17-7, 61pts

    Hershey27-17-7, 61ptsSat, Sep 29
    Farm Team 3234-12-5, 73pts

    Farm Team 3234-12-5, 73ptsSun, Sep 30
    Wilkes Barre22-21-5, 49pts

    TRANSACTIONS



     
    NEXT HOME GAME

    Friday, Jan. 04
    vs
    PRESENTED BY
    LEADERBOARD
    Expanded Player Leaderboard
    Team Information
    Farm Team 32
    Farm Team 32
    Head Coach
    General Manager
    City
    Arena