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    Chicago



    W:42 | L:29 | OTL:11 | PTS:95

    Goals For
    120
    Goals Against
    113
    Power Play
    19.7%
    Penalty Kill
    80.4%
    Team Chemistry
    57
    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/RW100.0073358165857885647365627563716762746524660,000$/1yrs
    Denis Malgin0C/LW/RW100.0066358370658264697067696869616462746420693,000$/2yrs
    Jacob de la Rose0C/LW100.0082417766857868658365637364656377746422725,000$/1yrs
    Nick Cousins0C/LW/RW100.00754177676980846671636768676967647464241,000,000$/2yrs
    Iiro Pakarinen0LW/RW100.0076358363807570625361626962736742296226725,000$/1yrs
    Miikka Salomaki0C/LW/RW100.0078357664737571635864616962696569746224613,000$/1yrs
    Cal O'Reilly0C/LW100.0062357964727175627564596361807230296131700,000$/2yrs
    Max McCormick0LW/RW100.0077627065707265646162646164716647296125650,000$/2yrs
    Nicholas Merkley (R)0RW100.00593584636982796256656459666163787461201,075,830$/3yrs
    Frank Vatrano0C/LW/RW100.0070357666707654656463676466676443746123925,000$/1yrs
    Beau Bennett0LW/RW100.0068358459797653585256575559736770295725650,000$/1yrs
    Spencer Foo (R)0RW100.0068358955728452555253585557676443705523
    Kyle Rau0C/LW100.0078358453647751535055525253716660745424700,000$/1yrs
    Thomas Chabot0D100.00633586718080767030726863666161837465201,254,000$/2yrs
    Scott Harrington0D100.0068358264827466633064637063696668746324632,000$/2yrs
    Rinat Valiev0D100.0071358461868581593056546751656366746322894,167$/2yrs
    Ben Harpur0D100.0076418461977654613061626360656360746222800,000$/1yrs
    Gabriel Carlsson0D100.0059358363887057633066605962616179746020925,000$/2yrs
    Dalton Prout0D100.00713581538975525330535353537568412957271,575,000$/1yrs
    Scratches
    TEAM AVERAGE100.00713781637877666253626163616865606261
    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
    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
    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
    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
    Providence42100010116560.750111829011341502245193348376924613712814535.71%18572.22%0515104849.14%543108350.14%537107549.95%19771417205157299349085.7%24.4%87.0%111.4FUN
    Portland1000001021121.00022400134150221219334837692195967114.29%20100.00%0515104849.14%543108350.14%537107549.95%19771417205157299349050.0%16.7%94.7%111.4LUCKY
    Hamilton4310000053260.750510150213415022351933483769253192262421523.81%18194.44%0515104849.14%543108350.14%537107549.95%1977141720515729934900.0%14.3%94.3%108.6LUCKY
    Iowa1100000021121.00024600134150221519334837692541286116.67%110.00%0515104849.14%543108350.14%537107549.95%197714172051572993490100.0%13.3%80.0%93.3FUN
    Wilkes Barre4010110158-340.500510150013415022441933483769261171332610330.00%14378.57%0515104849.14%543108350.14%537107549.95%19771417205157299349028.6%11.4%86.9%98.2FUN
    Milwaukee1100000061521.00061218001341502214193348376921417688450.00%30100.00%0515104849.14%543108350.14%537107549.95%19771417205157299349066.7%42.9%92.9%135.7LUCKY
    Hartford4120001067-140.50069150013415022441933483769237231112518316.67%13469.23%0515104849.14%543108350.14%537107549.95%19771417205157299349050.0%13.6%81.1%94.7FUN
    Grand Rapids2100100053241.00051015001341502224193348376923385096116.67%10370.00%0515104849.14%543108350.14%537107549.95%197714172051572993490100.0%20.8%90.9%111.7FUN
    Lake Erie1000010023-110.5002460013415022919334837692143157155240.00%6183.33%0515104849.14%543108350.14%537107549.95%1977141720515729934900.0%22.2%78.6%100.8FUN
    Hershey4030100057-220.250510150013415022511933483769249131832016425.00%19384.21%0515104849.14%543108350.14%537107549.95%19771417205157299349020.0%9.8%85.7%95.5FUN
    Manitoba3110000123-130.500246011341502232193348376924312271813215.38%11281.82%0515104849.14%543108350.14%537107549.95%1977141720515729934900.0%6.3%93.0%99.3DULL
    Toronto4210000164250.625612180013415022461933483769251191331621523.81%19289.47%0515104849.14%543108350.14%537107549.95%19771417205157299349033.3%13.0%92.2%105.2LUCKY
    Hersey1010000023-100.0002350013415022101933483769215512895240.00%9188.89%0515104849.14%543108350.14%537107549.95%1977141720515729934900.0%20.0%80.0%100.0FUN
    Lowell4210010065150.625611170013415022291933483769253191542316425.00%12283.33%0515104849.14%543108350.14%537107549.95%19771417205157299349040.0%20.7%90.6%111.3FUN
    Rockford Icehogs1000100010121.00012301134150221319334837692147124500.00%10100.00%0515104849.14%543108350.14%537107549.95%197714172051572993490100.0%7.7%100.0%107.7DULL
    Albany4120001044040.5004610021341502252193348376925761791513215.38%20480.00%1515104849.14%543108350.14%537107549.95%197714172051572993490100.0%7.7%93.0%100.7DULL
    Quad City1100000020221.0002460113415022919334837692821636116.67%30100.00%0515104849.14%543108350.14%537107549.95%197714172051572993490100.0%22.2%100.0%122.2LUCKY
    Rochester5230000067-140.400612180113415022671933483769261171992527518.52%27485.19%0515104849.14%543108350.14%537107549.95%19771417205157299349025.0%9.0%88.5%97.5FUN
    Manchester1100000010121.0001120113415022819334837692156972300.00%60100.00%1515104849.14%543108350.14%537107549.95%197714172051572993490100.0%12.5%100.0%112.5LUCKY
    Philadelphie4110011088050.625814220013415022581933483769249151062017317.65%18761.11%0515104849.14%543108350.14%537107549.95%19771417205157299349083.3%13.8%83.7%97.5FUN
    Norfolk4120001065140.500610160013415022551933483769255161173118422.22%11372.73%0515104849.14%543108350.14%537107549.95%19771417205157299349050.0%10.9%90.9%101.8FUN
    Springfield2010000125-310.2502460013415022281933483769223552148112.50%6266.67%0515104849.14%543108350.14%537107549.95%19771417205157299349025.0%7.1%78.3%85.4Unlucky
    Binghamton4210100063360.750611170213415022511933483769246201622618316.67%16381.25%0515104849.14%543108350.14%537107549.95%197714172051572993490100.0%11.8%93.5%105.2LUCKY
    Worchester2010100022020.5002460113415022291933483769224713111900.00%8275.00%0515104849.14%543108350.14%537107549.95%197714172051572993490100.0%6.9%91.7%98.6DULL
    Bridgeport40400000310-700.00036900134150224319334837692557165221218.33%20765.00%0515104849.14%543108350.14%537107549.95%19771417205157299349040.0%7.0%81.8%88.8Unlucky
    Syracuse1100000010121.00012301134150221219334837692126615500.00%30100.00%0515104849.14%543108350.14%537107549.95%197714172051572993490100.0%8.3%100.0%108.3DULL
    Rochester4110002076160.75071017111341502249193348376925215882014321.43%14285.71%0515104849.14%543108350.14%537107549.95%19771417205157299349050.0%14.3%88.5%102.7FUN
    Houston2000010113-220.500123001341502221193348376923112105149111.11%10190.00%0515104849.14%543108350.14%537107549.95%1977141720515729934900.0%4.8%90.3%95.1Unlucky
    Peroria1000100010121.0001230113415022819334837692103125500.00%10100.00%0515104849.14%543108350.14%537107549.95%197714172051572993490100.0%12.5%100.0%112.5LUCKY
    Farm Team 324110100145-150.6254812001341502247193348376924610992416318.75%7185.71%0515104849.14%543108350.14%537107549.95%19771417205157299349020.0%8.5%89.1%97.6Unlucky
    _Vs Conference6119250437388880660.5418815724519134150227161933483769277122921263452515321.12%2465179.27%1515104849.14%543108350.14%537107549.95%19771417205157299349048.6%12.3%88.6%100.9FUN
    _Since Last GM Reset822629085861201137950.5791202173371161341502296019334837692105131530714763516919.66%3266480.37%2515104849.14%543108350.14%537107549.95%19771417205157299349051.0%12.5%89.2%101.7FUN
    Total822629085861201137950.5791202173371161341502296019334837692105131530714763516919.66%3266480.37%2515104849.14%543108350.14%537107549.95%19771417205157299349051.0%12.5%89.2%101.7FUN

    Puck Time
    Offensive Zone 24
    Neutral Zone 12
    Defensive Zone 25
    Puck Time
    Offensive Zone Start 1048
    Neutral Zone Start 1075
    Defensive Zone Start 1083
    Puck Time
    With Puck 30
    Without Puck 31
    Faceoffs
    Faceoffs Won 1595
    Faceoffs Lost 1611
    Team Average Shots after League Average Shots after
    1st Period 2.49.57
    2nd Period 6.620.31
    3rd Period 11.230.68
    Overtime 12.331.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.20.64
    2nd Period 0.71.65
    3rd Period 1.32.67
    Overtime 1.52.83
    Even Strenght Goal 48
    PP Goal 69
    PK Goal 2
    Empty Net Goal 1
    Home Away
    Win 2319
    Lost 1118
    Overtime Lost 74
    PP Attempt 351
    PP Goal 69
    PK Attempt 326
    PK Goal Against 64
    Home
    Shots For 11.7
    Shots Against 12.8
    Goals For 1.5
    Goals Against 1.4
    Hits 5.8
    Shots Blocked 3.8
    Pim 37.5
    Schedule
    DateMatchup Result Detail
    2018-09-27ChicagoRochester@ChicagoChicagoRochester1,Chicago2RECAP
    2018-09-29ChicagoLowell@ChicagoChicagoLowell2,Chicago1 (OT)RECAP
    2018-10-01ChicagoChicago@ChicagoBinghamtonChicago1,Binghamton0 (OT)RECAP
    2018-10-02ChicagoPhiladelphie@ChicagoChicagoPhiladelphie1,Chicago3RECAP
    2018-10-04ChicagoChicago@ChicagoRochesterChicago3,Rochester2 (SO)RECAP
    2018-10-05ChicagoChicago@ChicagoProvidenceChicago2,Providence0RECAP
    2018-10-08ChicagoChicago@ChicagoNorfolkChicago0,Norfolk1RECAP
    2018-10-09ChicagoManitoba@ChicagoChicagoManitoba0,Chicago1RECAP
    2018-10-10ChicagoChicago@ChicagoRochesterChicago2,Rochester0RECAP
    2018-10-12ChicagoRochester@ChicagoChicagoRochester4,Chicago2RECAP
    2018-10-14ChicagoNorfolk@ChicagoChicagoNorfolk2,Chicago3 (SO)RECAP
    2018-10-18ChicagoProvidence@ChicagoChicagoProvidence2,Chicago6RECAP
    2018-10-20ChicagoChicago@ChicagoAlbanyChicago1,Albany2RECAP
    2018-10-23ChicagoHamilton@ChicagoChicagoHamilton0,Chicago1RECAP
    2018-10-26ChicagoAlbany@ChicagoChicagoAlbany0,Chicago2RECAP
    2018-10-27ChicagoChicago@ChicagoRockford IcehogsChicago1,Rockford Icehogs0 (OT)RECAP
    2018-10-30ChicagoChicago@ChicagoFarm Team 32Chicago0,Farm Team 321 (SO)RECAP
    2018-10-31ChicagoLowell@ChicagoChicagoLowell1,Chicago2RECAP
    2018-11-02ChicagoChicago@ChicagoHerseyChicago2,Hersey3RECAP
    2018-11-04ChicagoMilwaukee@ChicagoChicagoMilwaukee1,Chicago6RECAP
    2018-11-06ChicagoChicago@ChicagoRochesterChicago0,Rochester1RECAP
    2018-11-08ChicagoWorchester@ChicagoChicagoWorchester2,Chicago1RECAP
    2018-11-10ChicagoRochester@ChicagoChicagoRochester1,Chicago0RECAP
    2018-11-13ChicagoChicago@ChicagoBridgeportChicago1,Bridgeport2RECAP
    2018-11-15ChicagoChicago@ChicagoRochesterChicago1,Rochester3RECAP
    2018-11-16ChicagoPhiladelphie@ChicagoChicagoPhiladelphie2,Chicago1 (OT)RECAP
    2018-11-18ChicagoChicago@ChicagoRochesterChicago2,Rochester1RECAP
    2018-11-19ChicagoPortland@ChicagoChicagoPortland1,Chicago2 (SO)RECAP
    2018-11-21ChicagoChicago@ChicagoNorfolkChicago3,Norfolk1RECAP
    2018-11-23ChicagoBinghamton@ChicagoChicagoBinghamton0,Chicago3RECAP
    2018-11-27ChicagoBridgeport@ChicagoChicagoBridgeport2,Chicago1RECAP
    2018-11-29ChicagoChicago@ChicagoManitobaChicago1,Manitoba2 (SO)RECAP
    2018-12-01ChicagoBinghamton@ChicagoChicagoBinghamton2,Chicago0RECAP
    2018-12-03ChicagoChicago@ChicagoFarm Team 32Chicago0,Farm Team 322RECAP
    2018-12-04ChicagoNorfolk@ChicagoChicagoNorfolk1,Chicago0RECAP
    2018-12-06ChicagoChicago@ChicagoSpringfieldChicago2,Springfield3 (SO)RECAP
    2018-12-08ChicagoBridgeport@ChicagoChicagoBridgeport3,Chicago1RECAP
    2018-12-10ChicagoChicago@ChicagoWorchesterChicago1,Worchester0 (OT)RECAP
    2018-12-12ChicagoChicago@ChicagoPhiladelphieChicago1,Philadelphie3RECAP
    2018-12-13ChicagoManitoba@ChicagoChicagoManitoba1,Chicago0RECAP
    2018-12-16ChicagoChicago@ChicagoIowaChicago2,Iowa1RECAP
    2018-12-17ChicagoToronto@ChicagoChicagoToronto1,Chicago0 (SO)RECAP
    2018-12-19ChicagoChicago@ChicagoBinghamtonChicago2,Binghamton1RECAP
    2018-12-21ChicagoRochester@ChicagoChicagoRochester0,Chicago1 (SO)RECAP
    2018-12-22ChicagoChicago@ChicagoHartfordChicago2,Hartford1 (SO)RECAP
    2018-12-24ChicagoHamilton@ChicagoChicagoHamilton1,Chicago2RECAP
    2018-12-27ChicagoChicago@ChicagoTorontoChicago3,Toronto1RECAP
    2018-12-28ChicagoChicago@ChicagoGrand RapidsChicago2,Grand Rapids1 (OT)RECAP
    2018-12-30ChicagoQuad City@ChicagoChicagoQuad City0,Chicago2RECAP
    2019-01-01ChicagoChicago@ChicagoPhiladelphieChicago3,Philadelphie2 (SO)RECAP
    2019-01-02ChicagoManchester@ChicagoChicagoManchester0,Chicago1RECAP
    2019-01-04ChicagoLake Erie@ChicagoChicagoLake Erie3,Chicago2 (OT)RECAP
    2019-01-06ChicagoChicago@ChicagoHartfordChicago1,Hartford3RECAP
    2019-01-07ChicagoChicago@ChicagoSpringfieldChicago0,Springfield2RECAP
    2019-01-09ChicagoChicago@ChicagoTorontoChicago0,Toronto1RECAP
    2019-01-10ChicagoWilkes Barre@ChicagoChicagoWilkes Barre2,Chicago1 (OT)RECAP
    2019-01-13ChicagoToronto@ChicagoChicagoToronto1,Chicago3RECAP
    2019-01-16ChicagoHouston@ChicagoChicagoHouston2,Chicago1 (SO)RECAP
    2019-01-18ChicagoChicago@ChicagoHamiltonChicago1,Hamilton0RECAP
    2019-01-19ChicagoHouston@ChicagoChicagoHouston1,Chicago0 (OT)RECAP
    2019-01-21ChicagoChicago@ChicagoPeroriaChicago1,Peroria0 (OT)RECAP
    2019-01-22ChicagoProvidence@ChicagoChicagoProvidence1,Chicago2 (SO)RECAP
    2019-01-26ChicagoChicago@ChicagoWilkes BarreChicago1,Wilkes Barre2 (SO)RECAP
    2019-01-27ChicagoFarm Team 32@ChicagoChicagoFarm Team 321,Chicago2RECAP
    2019-01-29ChicagoAlbany@ChicagoChicagoAlbany0,Chicago1 (SO)RECAP
    2019-01-31ChicagoChicago@ChicagoAlbanyChicago0,Albany2RECAP
    2019-02-04ChicagoGrand Rapids@ChicagoChicagoGrand Rapids2,Chicago3RECAP
    2019-02-06ChicagoChicago@ChicagoHamiltonChicago1,Hamilton2RECAP
    2019-02-07ChicagoHartford@ChicagoChicagoHartford2,Chicago3RECAP
    2019-02-09ChicagoChicago@ChicagoSyracuseChicago1,Syracuse0RECAP
    2019-02-11ChicagoChicago@ChicagoProvidenceChicago1,Providence3RECAP
    2019-02-12ChicagoWilkes Barre@ChicagoChicagoWilkes Barre2,Chicago3 (OT)RECAP
    2019-02-14ChicagoFarm Team 32@ChicagoChicagoFarm Team 321,Chicago2 (OT)RECAP
    2019-02-17ChicagoChicago@ChicagoLowellChicago0,Lowell1RECAP
    2019-02-18ChicagoChicago@ChicagoWilkes BarreChicago0,Wilkes Barre2RECAP
    2019-02-19ChicagoHershey@ChicagoChicagoHershey2,Chicago1RECAP
    2019-02-21ChicagoChicago@ChicagoLowellChicago3,Lowell1RECAP
    2019-02-23ChicagoHershey@ChicagoChicagoHershey2,Chicago1RECAP
    2019-02-24ChicagoChicago@ChicagoHersheyChicago0,Hershey1RECAP
    2019-02-26ChicagoHartford@ChicagoChicagoHartford1,Chicago0RECAP
    2019-02-27ChicagoChicago@ChicagoBridgeportChicago0,Bridgeport3RECAP
    2019-03-02ChicagoChicago@ChicagoHersheyChicago3,Hershey2 (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
    0 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
    19,308,355$ 0$ 19,308,355$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 14 95,579$ 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

    Chicago42-29-11, 95pts03Final
    Bridgeport41-23-18, 100pts

    Chicago42-29-11, 95pts32Final
    Hershey38-31-13, 89pts

    Chicago42-29-11, 95ptsSun, Mar 03
    Hershey38-31-13, 89pts

    Lowell34-33-15, 83ptsSun, Sep 30
    Chicago42-29-11, 95pts

    Chicago42-29-11, 95ptsTue, Oct 02
    Binghamton45-27-10, 100pts

    TRANSACTIONS



     
    NEXT HOME GAME

    Friday, Sep. 28
    vs
    PRESENTED BY
    LEADERBOARD
    Expanded Player Leaderboard
    Team Information
    Chicago
    Chicago
    Head Coach
    General Manager
    CityChicago
    Arena