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    Binghamton



    W:10 | L:7 | OTL:0 | PTS:20

    Goals For
    21
    Goals Against
    28
    Power Play
    22.7%
    Penalty Kill
    76.4%
    Team Chemistry
    99
    Team Overall
    60
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    Day 35
    Binghamton19h30
    Hartford
    Day 37
    Hartford19h30
    Binghamton
    Day 39
    Binghamton19h30
    Hartford
    Day 41
    Hartford19h30
    Binghamton
    Roster
    Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
    Joshua Ho-Sang0RW100.00573584766981617452736651686362808063211,076,000$/2yrs
    Zack Mitchell0C/LW/RW100.0068358366777661656463666966696642806324600,000$/1yrs
    Frederick Gaudreau0C/LW/RW100.0055357964707360636965606662696542806024666,667$/3yrs
    Jakob Forsbacka Karlsson0C100.0050258164687880647255556557635875805920925,000$/2yrs
    Vladislav Kamenev0C/LW100.0069358063797251627361595766636274805821894,000$/2yrs
    Warren Foegele (R)0LW100.0080358457787851575056615459636267805721800,000$/3yrs
    Scratches
    TEAM AVERAGE100.00633382657476616463626160636563638060
    Filter Tips
    PriorityTypeDescription
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    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)
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    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
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    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
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    8?Wildcard for a single, non-space character.
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    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
    Frederick Gaudreau C/LW/RW24666,667$666,667$ 666,667$ 666,667$
    Jakob Forsbacka Karlsson C20925,000$925,000$ 925,000$
    Joshua Ho-Sang RW211,076,000$1,076,000$ 1,076,000$
    Vladislav Kamenev C/LW21894,000$894,000$ 894,000$
    Warren Foegele LW21800,000$800,000$ 800,000$ 800,000$
    Zack Mitchell C/LW/RW24600,000$600,000$

    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
    Hartford3210000022040.667246020611431346093123291141513215.38%12283.33%010721450.00%12423652.54%11523449.15%414290414118211107nan%6.5%93.8%100.2DULL
    Chicago743000001213-180.57112233501061141003460931286235104525728.00%351071.43%110721450.00%12423652.54%11523449.15%41429041411821110762.5%12.0%84.9%96.9FUN
    Rochester74300000713-680.571713200206114683460931291463064128621.43%42978.57%010721450.00%12423652.54%11523449.15%41429041411821110720.0%10.3%85.7%96.0FUN
    _Vs Division3430000022081.333246020611431346093123291141513215.38%12283.33%010721450.00%12423652.54%11523449.15%414290414118211107nan%6.5%93.8%100.2DULL
    _Vs Conference17107000002128-7200.58821406105061141993460931220978930101661522.73%892176.40%110721450.00%12423652.54%11523449.15%41429041411821110746.2%10.6%86.6%97.2FUN
    _Since Last GM Reset17107000002128-7200.58821406105061141993460931220978930101661522.73%892176.40%110721450.00%12423652.54%11523449.15%41429041411821110746.2%10.6%86.6%97.2FUN
    Total17107000002128-7200.58821406105061141993460931220978930101661522.73%892176.40%110721450.00%12423652.54%11523449.15%41429041411821110746.2%10.6%86.6%97.2FUN

    Puck Time
    Offensive Zone 24
    Neutral Zone 12
    Defensive Zone 24
    Puck Time
    Offensive Zone Start 214
    Neutral Zone Start 234
    Defensive Zone Start 236
    Puck Time
    With Puck 30
    Without Puck 30
    Faceoffs
    Faceoffs Won 346
    Faceoffs Lost 338
    Team Average Shots after League Average Shots after
    1st Period 2.09.57
    2nd Period 5.520.31
    3rd Period 11.030.68
    Overtime 11.731.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.00.64
    2nd Period 0.41.65
    3rd Period 1.02.67
    Overtime 1.22.83
    Even Strenght Goal 5
    PP Goal 15
    PK Goal 1
    Empty Net Goal 0
    Home Away
    Win 73
    Lost 34
    Overtime Lost 00
    PP Attempt 66
    PP Goal 15
    PK Attempt 89
    PK Goal Against 21
    Home
    Shots For 11.7
    Shots Against 12.3
    Goals For 1.2
    Goals Against 1.6
    Hits 5.9
    Shots Blocked 4.6
    Pim 54.7
    Schedule
    DateMatchup Result Detail
    2018-09-26BinghamtonChicago@BinghamtonBinghamtonChicago0,Binghamton2RECAP
    2018-09-28BinghamtonChicago@BinghamtonBinghamtonChicago1,Binghamton2 (OT)RECAP
    2018-09-30BinghamtonBinghamton@BinghamtonChicagoBinghamton0,Chicago1RECAP
    2018-10-02BinghamtonBinghamton@BinghamtonChicagoBinghamton1,Chicago4RECAP
    2018-10-04BinghamtonChicago@BinghamtonBinghamtonChicago3,Binghamton1RECAP
    2018-10-06BinghamtonBinghamton@BinghamtonChicagoBinghamton3,Chicago2 (OT)RECAP
    2018-10-08BinghamtonChicago@BinghamtonBinghamtonChicago2,Binghamton3 (OT)RECAP
    2018-10-10BinghamtonRochester@BinghamtonBinghamtonRochester1,Binghamton2RECAP
    2018-10-12BinghamtonRochester@BinghamtonBinghamtonRochester2,Binghamton3RECAP
    2018-10-14BinghamtonBinghamton@BinghamtonRochesterBinghamton0,Rochester4RECAP
    2018-10-16BinghamtonBinghamton@BinghamtonRochesterBinghamton1,Rochester0RECAP
    2018-10-18BinghamtonRochester@BinghamtonBinghamtonRochester3,Binghamton0RECAP
    2018-10-20BinghamtonBinghamton@BinghamtonRochesterBinghamton0,Rochester3RECAP
    2018-10-22BinghamtonRochester@BinghamtonBinghamtonRochester0,Binghamton1 (OT)RECAP
    2018-10-24BinghamtonHartford@BinghamtonBinghamtonHartford0,Binghamton1RECAP
    2018-10-26BinghamtonHartford@BinghamtonBinghamtonHartford2,Binghamton0RECAP
    2018-10-28BinghamtonBinghamton@BinghamtonHartfordBinghamton1,Hartford0RECAP
    2018-10-30BinghamtonBinghamton@BinghamtonHartford
    2018-11-01BinghamtonHartford@BinghamtonBinghamton
    2018-11-03BinghamtonBinghamton@BinghamtonHartford
    2018-11-05BinghamtonHartford@BinghamtonBinghamton

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    4,961,667$ 0$ 0$ 75,000,000$

    ArenaAbout us
    Name
    CityBinghamton
    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
    31 0 - 0.00% 0$0$3000100

    Expenses
    Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
    4,961,667$ 4,961,667$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    0$ 0$ 0$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 8 0$ 0$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    0$ 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

    Hartford9-7-0, 18pts20Final
    Binghamton10-7-0, 20pts

    Binghamton10-7-0, 20pts10Final
    Hartford9-7-0, 18pts

    Binghamton10-7-0, 20ptsMon, Oct 29
    Hartford9-7-0, 18pts

    Chicago3-4-0, 6ptsSat, Sep 29
    Binghamton10-7-0, 20pts

    Binghamton10-7-0, 20ptsMon, Oct 01
    Chicago3-4-0, 6pts

    TRANSACTIONS



     
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    Friday, Nov. 02
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