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    Binghamton



    W:28 | L:17 | OTL:5 | PTS:61

    Goals For
    70
    Goals Against
    68
    Power Play
    18.6%
    Penalty Kill
    81.9%
    Team Chemistry
    62
    Team Overall
    60
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    Day 100
    Binghamton19h30
    Rochester
    Day 102
    Farm Team 3219h30
    Binghamton
    Day 104
    Binghamton21h00
    Portland
    Day 105
    Rochester19h30
    Binghamton
    Day 107
    Binghamton21h00
    Portland
    Day 109
    Providence19h30
    Binghamton
    Day 111
    Binghamton19h30
    Rochester
    Day 113
    Manitoba19h30
    Binghamton
    Day 114
    Binghamton19h30
    Providence
    Day 116
    Binghamton19h30
    Hartford
    Day 118
    Albany19h30
    Binghamton
    Day 119
    Binghamton19h30
    Albany
    Day 121
    Binghamton20h30
    Hershey
    Day 122
    Providence19h30
    Binghamton
    Day 124
    Rochester19h30
    Binghamton
    Day 126
    Binghamton19h30
    Providence
    Day 128
    Lowell19h30
    Binghamton
    Day 132
    Norfolk19h30
    Binghamton
    Day 134
    Binghamton19h30
    Norfolk
    Day 136
    Norfolk19h30
    Binghamton
    Day 138
    Binghamton22h30
    Houston
    Day 140
    Hershey19h30
    Binghamton
    Day 141
    Binghamton19h30
    Albany
    Day 142
    Lowell19h30
    Binghamton
    Day 144
    Binghamton19h30
    Toronto
    Day 146
    Binghamton19h30
    Farm Team 32
    Day 147
    Philadelphie19h30
    Binghamton
    Day 150
    Binghamton22h30
    Lake Erie
    Day 151
    Binghamton19h30
    Toronto
    Day 152
    Bridgeport19h30
    Binghamton
    Day 153
    Binghamton19h30
    Farm Team 32
    Day 157
    Bridgeport19h30
    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-Sang0RW100.00573584766981617452736651686362806263211,076,000$/2yrs
    Zack Mitchell0C/LW/RW100.0068358366777661656463666966696642666324600,000$/1yrs
    Frederick Gaudreau0C/LW/RW100.0055357964707360636965606662696542666024666,667$/3yrs
    Jakob Forsbacka Karlsson0C100.0050258164687880647255556557635875665920925,000$/2yrs
    Vladislav Kamenev0C/LW100.0069358063797251627361595766636274665821894,000$/2yrs
    Warren Foegele (R)0LW100.0080358457787851575056615459636267665721800,000$/3yrs
    Scratches
    TEAM AVERAGE100.00633382657476616463626160636563636560
    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
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    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.
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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
    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
    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
    Hamilton4210100086260.7508162400521351350107211304526181482917423.53%15473.33%031063848.59%33167149.33%32366748.43%1204863125034860830066.7%16.0%90.2%106.2FUN
    Iowa1010000001-100.0000000052135131210721130452113416200.00%3166.67%031063848.59%33167149.33%32366748.43%12048631250348608300nan%0.0%90.9%90.9Unlucky
    Wilkes Barre4210001096360.75091524015213513481072113045263162481420735.00%24675.00%031063848.59%33167149.33%32366748.43%12048631250348608300100.0%18.8%90.5%109.2FUN
    Milwaukee1100000010121.000112015213513171072113045217411955120.00%70100.00%031063848.59%33167149.33%32366748.43%12048631250348608300nan%5.9%100.0%105.9DULL
    Hartford3120000036-320.33336911521351340107211304524924171159333.33%8187.50%031063848.59%33167149.33%32366748.43%120486312503486083000.0%7.5%87.8%95.3Unlucky
    Grand Rapids2100100031241.0003690152135132510721130452365118128112.50%100100.00%031063848.59%33167149.33%32366748.43%1204863125034860830066.7%12.0%97.2%109.2LUCKY
    Chicago4120010036-330.375369015213513461072113045251121861916318.75%18383.33%031063848.59%33167149.33%32366748.43%120486312503486083000.0%6.5%88.2%94.8Unlucky
    Lake Erie1010000014-300.0001230052135131010721130452133604400.00%5340.00%031063848.59%33167149.33%32366748.43%1204863125034860830050.0%10.0%69.2%79.2FUN
    Hershey2010010024-210.25024600521351324107211304523395969222.22%7271.43%031063848.59%33167149.33%32366748.43%120486312503486083000.0%8.3%87.9%96.2Unlucky
    Toronto2100001031241.0003470152135132510721130452181055178112.50%50100.00%031063848.59%33167149.33%32366748.43%1204863125034860830066.7%12.0%94.4%106.4LUCKY
    Hersey1010000013-200.00011200521351311107211304521331163133.33%330.00%031063848.59%33167149.33%32366748.43%12048631250348608300nan%9.1%76.9%86.0FUN
    Lowell3010001134-130.50034701521351343107211304525011612110110.00%18288.89%031063848.59%33167149.33%32366748.43%1204863125034860830050.0%7.0%92.0%99.0DULL
    Rockford Icehogs1100000010121.00012301521351325107211304521051572150.00%50100.00%031063848.59%33167149.33%32366748.43%12048631250348608300nan%4.0%100.0%104.0DULL
    Albany1000001010121.000101015213513810721130452115262100.00%30100.00%031063848.59%33167149.33%32366748.43%12048631250348608300100.0%12.5%100.0%112.5LUCKY
    Quad City1100000021121.00024600521351316107211304521451113100.00%3166.67%031063848.59%33167149.33%32366748.43%12048631250348608300100.0%12.5%92.9%105.4LUCKY
    Rochester2100000144030.7504812005213513191072113045223956128337.50%3166.67%031063848.59%33167149.33%32366748.43%1204863125034860830025.0%21.1%82.6%103.7FUN
    Manchester1010000013-200.0001230052135131210721130452154167300.00%330.00%031063848.59%33167149.33%32366748.43%12048631250348608300100.0%8.3%80.0%88.3Unlucky
    Philadelphie3100001121150.833224025213513411072113045234952211915.26%60100.00%031063848.59%33167149.33%32366748.43%1204863125034860830050.0%4.9%97.1%101.9DULL
    Norfolk1100000031221.00036900521351316107211304521332623133.33%8187.50%031063848.59%33167149.33%32366748.43%12048631250348608300100.0%18.8%92.3%111.1LUCKY
    Springfield1010000002-200.000000005213513610721130452145159100.00%5180.00%031063848.59%33167149.33%32366748.43%120486312503486083000.0%0.0%85.7%85.7Unlucky
    Worchester2100100051441.00051015015213513311072113045226923107228.57%90100.00%031063848.59%33167149.33%32366748.43%1204863125034860830075.0%16.1%96.2%112.3LUCKY
    Bridgeport2010100033020.50036900521351339107211304521831796700.00%7271.43%031063848.59%33167149.33%32366748.43%1204863125034860830075.0%7.7%83.3%91.0Unlucky
    Syracuse2200000063341.0006121800521351324107211304522713991111218.18%7185.71%031063848.59%33167149.33%32366748.43%1204863125034860830066.7%25.0%88.9%113.9FUN
    Rochester2200000031241.00036901521351324107211304522241511110110.00%80100.00%031063848.59%33167149.33%32366748.43%1204863125034860830066.7%12.5%95.5%108.0LUCKY
    Houston1010000012-100.00012300521351315107211304529210064125.00%50100.00%031063848.59%33167149.33%32366748.43%120486312503486083000.0%6.7%77.8%84.4Unlucky
    Peroria1010000013-200.0001230052135138107211304521142057114.29%5180.00%031063848.59%33167149.33%32366748.43%120486312503486083000.0%12.5%72.7%85.2FUN
    Farm Team 321010000001-100.000000005213513810721130452183136400.00%4175.00%031063848.59%33167149.33%32366748.43%12048631250348608300nan%0.0%94.4%94.4DULL
    _Vs Division20410101129272130.325294978165213513267107211304522859089596861618.60%801482.50%031063848.59%33167149.33%32366748.43%1204863125034860830050.0%10.9%90.5%101.4FUN
    _Vs Conference3412100225347443430.63247831301952135134311072113045246412614311811412719.15%1342382.84%031063848.59%33167149.33%32366748.43%1204863125034860830048.8%10.9%90.5%101.4FUN
    _Since Last GM Reset5019170425370682610.6107012719711352135136431072113045268019120792821993718.59%2043781.86%031063848.59%33167149.33%32366748.43%1204863125034860830051.6%10.9%90.0%100.9FUN
    Total5019170425370682610.6107012719711352135136431072113045268019120792821993718.59%2043781.86%031063848.59%33167149.33%32366748.43%1204863125034860830051.6%10.9%90.0%100.9FUN

    Puck Time
    Offensive Zone 24
    Neutral Zone 12
    Defensive Zone 25
    Puck Time
    Offensive Zone Start 638
    Neutral Zone Start 667
    Defensive Zone Start 671
    Puck Time
    With Puck 30
    Without Puck 31
    Faceoffs
    Faceoffs Won 964
    Faceoffs Lost 1012
    Team Average Shots after League Average Shots after
    1st Period 2.19.57
    2nd Period 6.420.31
    3rd Period 12.430.68
    Overtime 13.531.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.10.64
    2nd Period 0.51.65
    3rd Period 1.22.67
    Overtime 1.52.83
    Even Strenght Goal 32
    PP Goal 37
    PK Goal 0
    Empty Net Goal 1
    Home Away
    Win 1513
    Lost 107
    Overtime Lost 14
    PP Attempt 199
    PP Goal 37
    PK Attempt 204
    PK Goal Against 37
    Home
    Shots For 12.9
    Shots Against 13.6
    Goals For 1.4
    Goals Against 1.4
    Hits 5.6
    Shots Blocked 3.8
    Pim 41.6
    Schedule
    DateMatchup Result Detail
    2018-09-27BinghamtonWilkes Barre@BinghamtonBinghamtonWilkes Barre3,Binghamton2RECAP
    2018-09-29BinghamtonBinghamton@BinghamtonHartfordBinghamton0,Hartford2RECAP
    2018-10-01BinghamtonChicago@BinghamtonBinghamtonChicago1,Binghamton0 (OT)RECAP
    2018-10-02BinghamtonWorchester@BinghamtonBinghamtonWorchester1,Binghamton2 (OT)RECAP
    2018-10-04BinghamtonBinghamton@BinghamtonHersheyBinghamton1,Hershey2 (OT)RECAP
    2018-10-05BinghamtonBinghamton@BinghamtonHoustonBinghamton1,Houston2RECAP
    2018-10-07BinghamtonAlbany@BinghamtonBinghamtonAlbany0,Binghamton1 (SO)RECAP
    2018-10-09BinghamtonBinghamton@BinghamtonPhiladelphieBinghamton1,Philadelphie0RECAP
    2018-10-10BinghamtonBinghamton@BinghamtonLowellBinghamton1,Lowell0 (SO)RECAP
    2018-10-13BinghamtonHershey@BinghamtonBinghamtonHershey2,Binghamton1RECAP
    2018-10-14BinghamtonBinghamton@BinghamtonLowellBinghamton1,Lowell2RECAP
    2018-10-16BinghamtonRochester@BinghamtonBinghamtonRochester1,Binghamton2RECAP
    2018-10-19BinghamtonBinghamton@BinghamtonBridgeportBinghamton0,Bridgeport1RECAP
    2018-10-20BinghamtonHamilton@BinghamtonBinghamtonHamilton2,Binghamton3 (OT)RECAP
    2018-10-24BinghamtonBinghamton@BinghamtonWilkes BarreBinghamton2,Wilkes Barre1 (SO)RECAP
    2018-10-25BinghamtonToronto@BinghamtonBinghamtonToronto0,Binghamton1RECAP
    2018-10-27BinghamtonGrand Rapids@BinghamtonBinghamtonGrand Rapids1,Binghamton2 (OT)RECAP
    2018-10-30BinghamtonBinghamton@BinghamtonHamiltonBinghamton1,Hamilton2RECAP
    2018-11-01BinghamtonSyracuse@BinghamtonBinghamtonSyracuse2,Binghamton4RECAP
    2018-11-03BinghamtonBinghamton@BinghamtonHamiltonBinghamton2,Hamilton1RECAP
    2018-11-04BinghamtonWilkes Barre@BinghamtonBinghamtonWilkes Barre2,Binghamton3RECAP
    2018-11-07BinghamtonBinghamton@BinghamtonNorfolkBinghamton3,Norfolk1RECAP
    2018-11-08BinghamtonBinghamton@BinghamtonQuad CityBinghamton2,Quad City1RECAP
    2018-11-10BinghamtonToronto@BinghamtonBinghamtonToronto1,Binghamton2 (SO)RECAP
    2018-11-12BinghamtonBinghamton@BinghamtonWilkes BarreBinghamton2,Wilkes Barre0RECAP
    2018-11-14BinghamtonPhiladelphie@BinghamtonBinghamtonPhiladelphie0,Binghamton1 (SO)RECAP
    2018-11-16BinghamtonManchester@BinghamtonBinghamtonManchester3,Binghamton1RECAP
    2018-11-17BinghamtonBinghamton@BinghamtonSyracuseBinghamton2,Syracuse1RECAP
    2018-11-20BinghamtonGrand Rapids@BinghamtonBinghamtonGrand Rapids0,Binghamton1RECAP
    2018-11-22BinghamtonHartford@BinghamtonBinghamtonHartford0,Binghamton2RECAP
    2018-11-23BinghamtonBinghamton@BinghamtonChicagoBinghamton0,Chicago3RECAP
    2018-11-27BinghamtonBinghamton@BinghamtonIowaBinghamton0,Iowa1RECAP
    2018-11-28BinghamtonMilwaukee@BinghamtonBinghamtonMilwaukee0,Binghamton1RECAP
    2018-12-01BinghamtonBinghamton@BinghamtonChicagoBinghamton2,Chicago0RECAP
    2018-12-03BinghamtonSpringfield@BinghamtonBinghamtonSpringfield2,Binghamton0RECAP
    2018-12-04BinghamtonFarm Team 32@BinghamtonBinghamtonFarm Team 321,Binghamton0RECAP
    2018-12-06BinghamtonBinghamton@BinghamtonLowellBinghamton1,Lowell2 (SO)RECAP
    2018-12-08BinghamtonBinghamton@BinghamtonRochesterBinghamton1,Rochester0RECAP
    2018-12-09BinghamtonRochester@BinghamtonBinghamtonRochester1,Binghamton2RECAP
    2018-12-12BinghamtonLake Erie@BinghamtonBinghamtonLake Erie4,Binghamton1RECAP
    2018-12-13BinghamtonBinghamton@BinghamtonBridgeportBinghamton3,Bridgeport2 (OT)RECAP
    2018-12-16BinghamtonBinghamton@BinghamtonRochesterBinghamton2,Rochester3 (SO)RECAP
    2018-12-18BinghamtonBinghamton@BinghamtonWorchesterBinghamton3,Worchester0RECAP
    2018-12-19BinghamtonChicago@BinghamtonBinghamtonChicago2,Binghamton1RECAP
    2018-12-21BinghamtonHersey@BinghamtonBinghamtonHersey3,Binghamton1RECAP
    2018-12-23BinghamtonBinghamton@BinghamtonPhiladelphieBinghamton0,Philadelphie1 (SO)RECAP
    2018-12-26BinghamtonPeroria@BinghamtonBinghamtonPeroria3,Binghamton1RECAP
    2018-12-28BinghamtonBinghamton@BinghamtonRockford IcehogsBinghamton1,Rockford Icehogs0RECAP
    2018-12-29BinghamtonHamilton@BinghamtonBinghamtonHamilton1,Binghamton2RECAP
    2019-01-01BinghamtonHartford@BinghamtonBinghamtonHartford4,Binghamton1RECAP
    2019-01-03BinghamtonBinghamton@BinghamtonRochester
    2019-01-05BinghamtonFarm Team 32@BinghamtonBinghamton
    2019-01-07BinghamtonBinghamton@BinghamtonPortland
    2019-01-08BinghamtonRochester@BinghamtonBinghamton
    2019-01-10BinghamtonBinghamton@BinghamtonPortland
    2019-01-12BinghamtonProvidence@BinghamtonBinghamton
    2019-01-14BinghamtonBinghamton@BinghamtonRochester
    2019-01-16BinghamtonManitoba@BinghamtonBinghamton
    2019-01-17BinghamtonBinghamton@BinghamtonProvidence
    2019-01-19BinghamtonBinghamton@BinghamtonHartford
    2019-01-21BinghamtonAlbany@BinghamtonBinghamton
    2019-01-22BinghamtonBinghamton@BinghamtonAlbany
    2019-01-24BinghamtonBinghamton@BinghamtonHershey
    2019-01-25BinghamtonProvidence@BinghamtonBinghamton
    2019-01-27BinghamtonRochester@BinghamtonBinghamton
    2019-01-29BinghamtonBinghamton@BinghamtonProvidence
    2019-01-31BinghamtonLowell@BinghamtonBinghamton
    2019-02-04BinghamtonNorfolk@BinghamtonBinghamton
    2019-02-06BinghamtonBinghamton@BinghamtonNorfolk
    2019-02-08BinghamtonNorfolk@BinghamtonBinghamton
    2019-02-10BinghamtonBinghamton@BinghamtonHouston
    2019-02-12BinghamtonHershey@BinghamtonBinghamton
    2019-02-13BinghamtonBinghamton@BinghamtonAlbany
    2019-02-14BinghamtonLowell@BinghamtonBinghamton
    2019-02-16BinghamtonBinghamton@BinghamtonToronto
    2019-02-18BinghamtonBinghamton@BinghamtonFarm Team 32
    2019-02-19BinghamtonPhiladelphie@BinghamtonBinghamton
    2019-02-22BinghamtonBinghamton@BinghamtonLake Erie
    2019-02-23BinghamtonBinghamton@BinghamtonToronto
    2019-02-24BinghamtonBridgeport@BinghamtonBinghamton
    2019-02-25BinghamtonBinghamton@BinghamtonFarm Team 32
    2019-03-01BinghamtonBridgeport@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
    15 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
    3,089,295$ 0$ 3,089,295$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 78 31,205$ 1,872,300$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    1,872,300$ 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

    Hamilton22-25-6, 50pts12Final
    Binghamton28-17-5, 61pts

    Hartford28-19-5, 61pts41Final
    Binghamton28-17-5, 61pts

    Hartford28-19-5, 61ptsWed, Jan 02
    Binghamton28-17-5, 61pts

    Binghamton28-17-5, 61ptsSun, Sep 30
    Hartford28-19-5, 61pts

    Chicago29-16-6, 64ptsTue, Oct 02
    Binghamton28-17-5, 61pts

    TRANSACTIONS



     
    NEXT HOME GAME

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