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    Chicago



    W:3 | L:4 | OTL:0 | PTS:6

    Goals For
    13
    Goals Against
    12
    Power Play
    28.6%
    Penalty Kill
    72.0%
    Team Chemistry
    45
    Team Overall
    61
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    Roster
    Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
    Logan Shaw0C/RW100.0073358165857885647365627563716762826524660,000$/1yrs
    Denis Malgin0C/LW/RW100.0066358370658264697067696869616462826420693,000$/2yrs
    Jacob de la Rose0C/LW100.0082417766857868658365637364656377826422725,000$/1yrs
    Nick Cousins0C/LW/RW100.00754177676980846671636768676967648264241,000,000$/2yrs
    Iiro Pakarinen0LW/RW100.0076358363807570625361626962736742416226725,000$/1yrs
    Miikka Salomaki0C/LW/RW100.0078357664737571635864616962696569826224613,000$/1yrs
    Cal O'Reilly0C/LW100.0062357964727175627564596361807230416131700,000$/2yrs
    Max McCormick0LW/RW100.0077627065707265646162646164716647416125650,000$/2yrs
    Nicholas Merkley (R)0RW100.00593584636982796256656459666163788261201,075,830$/3yrs
    Frank Vatrano0C/LW/RW100.0070357666707654656463676466676443826123925,000$/1yrs
    Beau Bennett0LW/RW100.0068358459797653585256575559736770415725650,000$/1yrs
    Spencer Foo (R)0RW100.0068358955728452555253585557676443825523
    Kyle Rau0C/LW100.0078358453647751535055525253716660825424700,000$/1yrs
    Thomas Chabot0D100.00633586718080767030726863666161838265201,254,000$/2yrs
    Scott Harrington0D100.0068358264827466633064637063696668826324632,000$/2yrs
    Rinat Valiev0D100.0071358461868581593056546751656366826322894,167$/2yrs
    Ben Harpur0D100.0076418461977654613061626360656360826222800,000$/1yrs
    Gabriel Carlsson0D100.0059358363887057633066605962616179826020925,000$/2yrs
    Dalton Prout0D100.00713581538975525330535353537568414157271,575,000$/1yrs
    Scratches
    TEAM AVERAGE100.00713781637877666253626163616865607161
    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)
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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 # 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.
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    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.
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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 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
    Beau Bennett LW/RW25650,000$650,000$
    Ben Harpur D22800,000$800,000$
    Cal O'Reilly C/LW31700,000$700,000$ 700,000$
    Dalton Prout D271,575,000$1,575,000$
    Denis Malgin C/LW/RW20693,000$693,000$ 693,000$
    Frank Vatrano C/LW/RW23925,000$925,000$
    Gabriel Carlsson D20925,000$925,000$ 925,000$
    Iiro Pakarinen LW/RW26725,000$725,000$
    Jacob de la Rose C/LW22725,000$725,000$
    Kyle Rau C/LW24700,000$700,000$
    Logan Shaw C/RW24660,000$660,000$
    Max McCormick LW/RW25650,000$650,000$ 650,000$
    Miikka Salomaki C/LW/RW24613,000$613,000$
    Nicholas Merkley RW201,075,830$1,075,830$ 1,075,830$ 1,075,830$
    Nick Cousins C/LW/RW241,000,000$1,000,000$ 1,000,000$
    Rinat Valiev D22894,167$894,167$ 894,167$
    Scott Harrington D24632,000$632,000$ 632,000$
    Spencer Foo RW230$0$
    Thomas Chabot D201,254,000$1,254,000$ 1,254,000$

    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
    Binghamton734000001312160.4291325380122908613343541004344032351028.57%25772.00%14910546.67%468554.12%4910546.67%15510519451894337.5%15.1%88.0%103.1FUN
    _Vs Conference734000001312160.4291325380122908613343541004344032351028.57%25772.00%14910546.67%468554.12%4910546.67%15510519451894337.5%15.1%88.0%103.1FUN
    _Since Last GM Reset734000001312160.4291325380122908613343541004344032351028.57%25772.00%14910546.67%468554.12%4910546.67%15510519451894337.5%15.1%88.0%103.1FUN
    Total734000001312160.4291325380122908613343541004344032351028.57%25772.00%14910546.67%468554.12%4910546.67%15510519451894337.5%15.1%88.0%103.1FUN

    Puck Time
    Offensive Zone 22
    Neutral Zone 12
    Defensive Zone 27
    Puck Time
    Offensive Zone Start 105
    Neutral Zone Start 105
    Defensive Zone Start 85
    Puck Time
    With Puck 28
    Without Puck 34
    Faceoffs
    Faceoffs Won 144
    Faceoffs Lost 151
    Team Average Shots after League Average Shots after
    1st Period 1.99.57
    2nd Period 6.720.31
    3rd Period 11.730.68
    Overtime 12.331.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.30.64
    2nd Period 0.61.65
    3rd Period 1.92.67
    Overtime 1.92.83
    Even Strenght Goal 2
    PP Goal 10
    PK Goal 1
    Empty Net Goal 0
    Home Away
    Win 21
    Lost 13
    Overtime Lost 00
    PP Attempt 35
    PP Goal 10
    PK Attempt 25
    PK Goal Against 7
    Home
    Shots For 12.3
    Shots Against 14.3
    Goals For 1.9
    Goals Against 1.7
    Hits 4.6
    Shots Blocked 6.1
    Pim 62.9
    Schedule
    DateMatchup Result Detail
    2018-09-26ChicagoChicago@ChicagoBinghamtonChicago0,Binghamton2RECAP
    2018-09-28ChicagoChicago@ChicagoBinghamtonChicago1,Binghamton2 (OT)RECAP
    2018-09-30ChicagoBinghamton@ChicagoChicagoBinghamton0,Chicago1RECAP
    2018-10-02ChicagoBinghamton@ChicagoChicagoBinghamton1,Chicago4RECAP
    2018-10-04ChicagoChicago@ChicagoBinghamtonChicago3,Binghamton1RECAP
    2018-10-06ChicagoBinghamton@ChicagoChicagoBinghamton3,Chicago2 (OT)RECAP
    2018-10-08ChicagoChicago@ChicagoBinghamtonChicago2,Binghamton3 (OT)RECAP

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    15,196,997$ 0$ 0$ 75,000,000$

    ArenaAbout us
    Name
    CityChicago
    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
    38 0 - 0.00% 0$0$3000100

    Expenses
    Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
    15,196,997$ 15,196,997$ 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

    Binghamton10-7-0, 20pts32Final
    Chicago3-4-0, 6pts

    Chicago3-4-0, 6pts23Final
    Binghamton10-7-0, 20pts

    Chicago3-4-0, 6ptsTue, Oct 09
    Binghamton10-7-0, 20pts

    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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