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    • Farm Team 32


    Farm Team 32



    W:15 | L:6 | OTL:1 | PTS:31

    Goals For
    34
    Goals Against
    24
    Power Play
    27.7%
    Penalty Kill
    87.5%
    Team Chemistry
    64
    Team Overall
    65
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    Day 43
    Farm Team 3219h30
    Bridgeport
    Day 46
    Hartford19h30
    Farm Team 32
    Day 48
    Farm Team 3219h30
    Philadelphie
    Day 49
    Farm Team 3222h00
    Peroria
    Day 51
    Lowell19h30
    Farm Team 32
    Day 53
    Hamilton19h30
    Farm Team 32
    Day 55
    Farm Team 3220h30
    Hershey
    Day 56
    Farm Team 3219h30
    Albany
    Day 58
    Providence19h30
    Farm Team 32
    Day 60
    Farm Team 3220h30
    Rockford Icehogs
    Day 62
    Toronto19h30
    Farm Team 32
    Day 64
    Farm Team 3219h30
    Bridgeport
    Day 66
    Peroria19h30
    Farm Team 32
    Day 69
    Chicago19h30
    Farm Team 32
    Day 70
    Farm Team 3219h30
    Binghamton
    Day 73
    Worchester19h30
    Farm Team 32
    Day 75
    Farm Team 3221h30
    Hersey
    Day 76
    Farm Team 3219h30
    Providence
    Day 78
    Grand Rapids19h30
    Farm Team 32
    Day 80
    Rochester19h30
    Farm Team 32
    Day 84
    Farm Team 3221h30
    Springfield
    Day 85
    Albany19h30
    Farm Team 32
    Day 87
    Farm Team 3219h30
    Syracuse
    Day 89
    Syracuse19h30
    Farm Team 32
    Day 92
    Bridgeport19h30
    Farm Team 32
    Day 94
    Farm Team 3219h30
    Wilkes Barre
    Day 95
    Farm Team 3219h30
    Rochester
    Day 97
    Rochester19h30
    Farm Team 32
    Day 99
    Farm Team 3220h30
    Hershey
    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/RW100.00753870687782956774666670676363895865213,194,000$/1yrs
    Ty Rattie0RW100.0059358975698457745070756275696674586524700,000$/2yrs
    Tobias Rieder0LW/RW100.00703588687082916764666770676965575865241,891,250$/1yrs
    Barclay Goodrow0LW/RW100.0072477767827660668265667466696642586424650,000$/2yrs
    Gemel Smith0C/LW100.0064417566687459656964666466676460586123650,000$/1yrs
    Scratches
    TEAM AVERAGE100.00683980697380726868666868686765645864
    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 Lyon100.00776968787675777675777671754256720
    Scratches
    TEAM AVERAGE100.0077696878767577767577767175425672
    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
    Providence1100000021121.0002460031414494881118111661637228.57%30100.00%013627050.37%14328849.65%12626048.46%5113645621482641300.0%22.2%93.8%116.0LUCKY
    Hamilton2200000042241.00048120131414428488111811291663128337.50%9188.89%013627050.37%14328849.65%12626048.46%51136456214826413050.0%14.3%93.1%107.4LUCKY
    Iowa1100000021121.00024600314144114881118111541254250.00%6183.33%013627050.37%14328849.65%12626048.46%511364562148264130nan%18.2%93.3%111.5LUCKY
    Wilkes Barre2200000041341.00048120131414419488111811245101510330.00%80100.00%013627050.37%14328849.65%12626048.46%51136456214826413050.0%21.1%95.8%116.9LUCKY
    Hartford1010000012-100.00012300314144124881118111316665120.00%3233.33%013627050.37%14328849.65%12626048.46%511364562148264130nan%8.3%84.6%92.9Unlucky
    Chicago1000001010121.00010101314144104881118119345100.00%20100.00%013627050.37%14328849.65%12626048.46%511364562148264130100.0%10.0%100.0%110.0LUCKY
    Hershey1010000001-100.000000003141447488111811113784200.00%4175.00%013627050.37%14328849.65%12626048.46%511364562148264130nan%0.0%90.9%90.9Unlucky
    Toronto2110000052320.500510150131414427488111811231366119444.44%80100.00%013627050.37%14328849.65%12626048.46%51136456214826413033.3%18.5%91.3%109.8LUCKY
    Lowell3100011054150.8335813013141444048811181131111382010330.00%14378.57%013627050.37%14328849.65%12626048.46%51136456214826413066.7%12.5%87.1%99.6FUN
    Albany1010000002-200.0000000031414404881118112041004100.00%5180.00%013627050.37%14328849.65%12626048.46%5113645621482641300.0%nan%90.0%nanUnlucky
    Rochester1100000032121.00036900314144114881118111741866233.33%40100.00%013627050.37%14328849.65%12626048.46%51136456214826413033.3%27.3%88.2%115.5FUN
    Philadelphie4220000034-140.500369023141445048811181157141102810110.00%15193.33%013627050.37%14328849.65%12626048.46%51136456214826413040.0%6.0%93.0%99.0DULL
    Rochester1000001021121.00022400314144114881118111379311300.00%4175.00%013627050.37%14328849.65%12626048.46%511364562148264130100.0%18.2%92.3%110.5LUCKY
    Peroria1100000021121.000246003141441348811181115541107228.57%30100.00%013627050.37%14328849.65%12626048.46%5113645621482641300.0%15.4%93.3%108.7LUCKY
    _Vs Division753001101688130.9291630460231414486488111811984625643331133.33%28292.86%013627050.37%14328849.65%12626048.46%51136456214826413045.5%18.6%91.8%110.4LUCKY
    _Vs Conference201060013030228270.6753054840731414422448811181126387853115721926.39%791087.34%013627050.37%14328849.65%12626048.46%51136456214826413047.8%13.4%91.6%105.0LUCKY
    _Since Last GM Reset2212600130342410310.7053462960731414424848811181129396906130832327.71%881187.50%013627050.37%14328849.65%12626048.46%51136456214826413045.8%13.7%91.8%105.5LUCKY
    Total2212600130342410310.7053462960731414424848811181129396906130832327.71%881187.50%013627050.37%14328849.65%12626048.46%51136456214826413045.8%13.7%91.8%105.5LUCKY

    Puck Time
    Offensive Zone 23
    Neutral Zone 12
    Defensive Zone 25
    Puck Time
    Offensive Zone Start 270
    Neutral Zone Start 260
    Defensive Zone Start 288
    Puck Time
    With Puck 29
    Without Puck 31
    Faceoffs
    Faceoffs Won 405
    Faceoffs Lost 413
    Team Average Shots after League Average Shots after
    1st Period 2.29.57
    2nd Period 5.920.31
    3rd Period 11.230.68
    Overtime 11.731.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.10.64
    2nd Period 0.81.65
    3rd Period 1.42.67
    Overtime 1.62.83
    Even Strenght Goal 11
    PP Goal 23
    PK Goal 0
    Empty Net Goal 0
    Home Away
    Win 78
    Lost 42
    Overtime Lost 01
    PP Attempt 83
    PP Goal 23
    PK Attempt 88
    PK Goal Against 11
    Home
    Shots For 11.3
    Shots Against 13.3
    Goals For 1.5
    Goals Against 1.1
    Hits 5.9
    Shots Blocked 4.4
    Pim 41.2
    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 32Bridgeport
    2018-11-10Farm Team 32Hartford@Farm Team 32Farm Team 32
    2018-11-12Farm Team 32Farm Team 32@Farm Team 32Philadelphie
    2018-11-13Farm Team 32Farm Team 32@Farm Team 32Peroria
    2018-11-15Farm Team 32Lowell@Farm Team 32Farm Team 32
    2018-11-17Farm Team 32Hamilton@Farm Team 32Farm Team 32
    2018-11-19Farm Team 32Farm Team 32@Farm Team 32Hershey
    2018-11-20Farm Team 32Farm Team 32@Farm Team 32Albany
    2018-11-22Farm Team 32Providence@Farm Team 32Farm Team 32
    2018-11-24Farm Team 32Farm Team 32@Farm Team 32Rockford Icehogs
    2018-11-26Farm Team 32Toronto@Farm Team 32Farm Team 32
    2018-11-28Farm Team 32Farm Team 32@Farm Team 32Bridgeport
    2018-11-30Farm Team 32Peroria@Farm Team 32Farm Team 32
    2018-12-03Farm Team 32Chicago@Farm Team 32Farm Team 32
    2018-12-04Farm Team 32Farm Team 32@Farm Team 32Binghamton
    2018-12-07Farm Team 32Worchester@Farm Team 32Farm Team 32
    2018-12-09Farm Team 32Farm Team 32@Farm Team 32Hersey
    2018-12-10Farm Team 32Farm Team 32@Farm Team 32Providence
    2018-12-12Farm Team 32Grand Rapids@Farm Team 32Farm Team 32
    2018-12-14Farm Team 32Rochester@Farm Team 32Farm Team 32
    2018-12-18Farm Team 32Farm Team 32@Farm Team 32Springfield
    2018-12-19Farm Team 32Albany@Farm Team 32Farm Team 32
    2018-12-21Farm Team 32Farm Team 32@Farm Team 32Syracuse
    2018-12-23Farm Team 32Syracuse@Farm Team 32Farm Team 32
    2018-12-26Farm Team 32Bridgeport@Farm Team 32Farm Team 32
    2018-12-28Farm Team 32Farm Team 32@Farm Team 32Wilkes Barre
    2018-12-29Farm Team 32Farm Team 32@Farm Team 32Rochester
    2018-12-31Farm Team 32Rochester@Farm Team 32Farm Team 32
    2019-01-02Farm Team 32Farm Team 32@Farm Team 32Hershey
    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
    30 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
    1,871,562$ 0$ 1,871,562$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 135 44,561$ 5,213,637$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    5,213,637$ 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

    Philadelphie6-13-2, 14pts01Final
    Farm Team 3215-6-1, 31pts

    Iowa5-9-7, 17pts12Final
    Farm Team 3215-6-1, 31pts

    Iowa5-9-7, 17ptsTue, Nov 06
    Farm Team 3215-6-1, 31pts

    Hershey12-7-1, 25ptsSat, Sep 29
    Farm Team 3215-6-1, 31pts

    Farm Team 3215-6-1, 31ptsSun, Sep 30
    Wilkes Barre9-9-4, 22pts

    TRANSACTIONS



    		  
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