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    Chicago



    W:14 | L:5 | OTL:2 | PTS:30

    Goals For
    41
    Goals Against
    24
    Power Play
    25.8%
    Penalty Kill
    82.7%
    Team Chemistry
    62
    Team Overall
    61
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    Day 44
    Worchester19h30
    Chicago
    Day 46
    Rochester19h30
    Chicago
    Day 49
    Chicago19h30
    Bridgeport
    Day 51
    Chicago19h30
    Rochester
    Day 52
    Philadelphie19h30
    Chicago
    Day 54
    Chicago19h30
    Rochester
    Day 55
    Portland19h30
    Chicago
    Day 57
    Chicago19h30
    Norfolk
    Day 59
    Binghamton19h30
    Chicago
    Day 63
    Bridgeport19h30
    Chicago
    Day 65
    Chicago20h30
    Manitoba
    Day 67
    Binghamton19h30
    Chicago
    Day 69
    Chicago19h30
    Farm Team 32
    Day 70
    Norfolk19h30
    Chicago
    Day 72
    Chicago21h30
    Springfield
    Day 74
    Bridgeport19h30
    Chicago
    Day 76
    Chicago20h30
    Worchester
    Day 78
    Chicago19h30
    Philadelphie
    Day 79
    Manitoba19h30
    Chicago
    Day 82
    Chicago22h00
    Iowa
    Day 83
    Toronto19h30
    Chicago
    Day 85
    Chicago19h30
    Binghamton
    Day 87
    Rochester19h30
    Chicago
    Day 88
    Chicago19h30
    Hartford
    Day 90
    Hamilton19h30
    Chicago
    Day 93
    Chicago19h30
    Toronto
    Day 94
    Chicago19h30
    Grand Rapids
    Day 96
    Quad City19h30
    Chicago
    Day 98
    Chicago19h30
    Philadelphie
    Day 99
    Manchester19h30
    Chicago
    Day 101
    Lake Erie19h30
    Chicago
    Day 103
    Chicago19h30
    Hartford
    Day 104
    Chicago21h30
    Springfield
    Day 106
    Chicago19h30
    Toronto
    Day 107
    Wilkes Barre19h30
    Chicago
    Day 110
    Toronto19h30
    Chicago
    Day 113
    Houston19h30
    Chicago
    Day 115
    Chicago19h30
    Hamilton
    Day 116
    Houston19h30
    Chicago
    Day 118
    Chicago22h00
    Peroria
    Day 119
    Providence19h30
    Chicago
    Day 123
    Chicago19h30
    Wilkes Barre
    Day 124
    Farm Team 3219h30
    Chicago
    Day 126
    Albany19h30
    Chicago
    Day 128
    Chicago19h30
    Albany
    Day 132
    Grand Rapids19h30
    Chicago
    Day 134
    Chicago19h30
    Hamilton
    Day 135
    Hartford19h30
    Chicago
    Day 137
    Chicago19h30
    Syracuse
    Day 139
    Chicago19h30
    Providence
    Day 140
    Wilkes Barre19h30
    Chicago
    Day 142
    Farm Team 3219h30
    Chicago
    Day 145
    Chicago19h30
    Lowell
    Day 146
    Chicago19h30
    Wilkes Barre
    Day 147
    Hershey19h30
    Chicago
    Day 149
    Chicago19h30
    Lowell
    Day 151
    Hershey19h30
    Chicago
    Day 152
    Chicago20h30
    Hershey
    Day 154
    Hartford19h30
    Chicago
    Day 155
    Chicago19h30
    Bridgeport
    Day 158
    Chicago20h30
    Hershey
    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/RW100.0073358165857885647365627563716762586524660,000$/1yrs
    Denis Malgin0C/LW/RW100.0066358370658264697067696869616462586420693,000$/2yrs
    Dylan Strome0C100.00593582708380606981686871696161895864203,369,000$/2yrs
    Jacob de la Rose0C/LW100.0082417766857868658365637364656377586422725,000$/1yrs
    Nick Cousins0C/LW/RW100.00754177676980846671636768676967645864241,000,000$/2yrs
    Miikka Salomaki0C/LW/RW100.0078357664737571635864616962696569586224613,000$/1yrs
    Filip Chlapik (R)0C100.0061358365777560646765626663616173586120894,167$/3yrs
    Nicholas Merkley (R)0RW100.00593584636982796256656459666163785861201,075,830$/3yrs
    Frank Vatrano0C/LW/RW100.0070357666707654656463676466676443586123925,000$/1yrs
    Spencer Foo (R)0RW100.0068358955728452555253585557676443555523
    Kyle Rau0C/LW100.0078358453647751535055525253716660585424700,000$/1yrs
    Thomas Chabot0D100.00633586718080767030726863666161835865201,254,000$/2yrs
    Scott Harrington0D100.0068358264827466633064637063696668586324632,000$/2yrs
    Travis Dermott0D100.0070358768767868683073616365636277586320863,333$/3yrs
    Rinat Valiev0D100.0071358461868581593056546751656366586322894,167$/2yrs
    Ben Harpur0D100.0076418461977654613061626360656360586222800,000$/1yrs
    Gabriel Carlsson0D100.0059358363887057633066605962616179586020925,000$/2yrs
    Roland McKeown0D100.0054628060767455603062596060636272585821894,167$/2yrs
    Scratches
    Iiro Pakarinen0LW/RW100.0076358363807570625361626962736742296226725,000$/1yrs
    Cal O'Reilly0C/LW100.0062357964727175627564596361807230326131700,000$/2yrs
    Max McCormick0LW/RW100.0077627065707265646162646164716647296125650,000$/2yrs
    Beau Bennett0LW/RW100.0068358459797653585256575559736770325725650,000$/1yrs
    Dalton Prout0D100.00713581538975525330535353537568412957271,575,000$/1yrs
    TEAM AVERAGE100.00693882637877656352636264626764635261
    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.
    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
    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$
    Dylan Strome C203,369,000$3,369,000$ 3,369,000$
    Filip Chlapik C20894,167$894,167$ 894,167$ 894,167$
    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$
    Roland McKeown D21894,167$894,167$ 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$
    Travis Dermott D20863,333$863,333$ 863,333$ 863,333$

    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
    Providence2200000082641.00081523017161452142941072221538107457.14%9277.78%013626152.11%14028848.61%13528347.70%525379500147258129100.0%38.1%90.5%128.6FUN
    Hamilton1100000010121.0001230171614594294107221536586116.67%50100.00%013626152.11%14028848.61%13528347.70%525379500147258129nan%11.1%100.0%111.1LUCKY
    Milwaukee1100000061521.0006121800716145144294107221417688450.00%30100.00%013626152.11%14028848.61%13528347.70%52537950014725812966.7%42.9%92.9%135.7LUCKY
    Manitoba1100000010121.0001230171614513429410722112068112.50%000.00%013626152.11%14028848.61%13528347.70%525379500147258129nan%7.7%100.0%107.7DULL
    Hersey1010000023-100.000235007161451042941072215512895240.00%9188.89%013626152.11%14028848.61%13528347.70%5253795001472581290.0%20.0%80.0%100.0FUN
    Lowell2100010033030.750369007161451442941072224784145240.00%7185.71%013626152.11%14028848.61%13528347.70%52537950014725812933.3%21.4%87.5%108.9FUN
    Rockford Icehogs1000100010121.0001230171614513429410722147124500.00%10100.00%013626152.11%14028848.61%13528347.70%525379500147258129100.0%7.7%100.0%107.7DULL
    Albany2110000032120.500369017161452642941072225411659222.22%11281.82%113626152.11%14028848.61%13528347.70%525379500147258129100.0%11.5%92.0%103.5LUCKY
    Rochester3120000045-120.3334812017161454342941072235101041817317.65%12375.00%013626152.11%14028848.61%13528347.70%52537950014725812933.3%9.3%85.7%95.0FUN
    Philadelphie1100000031221.0003690071614517429410722841324125.00%4175.00%013626152.11%14028848.61%13528347.70%525379500147258129100.0%17.6%87.5%105.1FUN
    Norfolk2010001033020.5003470071614530429410722306621410220.00%6350.00%013626152.11%14028848.61%13528347.70%525379500147258129100.0%10.0%90.0%100.0FUN
    Binghamton1000100010121.00012301716145114294107221142110100.00%80100.00%013626152.11%14028848.61%13528347.70%525379500147258129100.0%9.1%100.0%109.1LUCKY
    Rochester2100001053241.000581300716145254294107222865586233.33%5180.00%013626152.11%14028848.61%13528347.70%52537950014725812960.0%20.0%89.3%109.3FUN
    Farm Team 321000000101-110.500000007161459429410722102210200.00%10100.00%013626152.11%14028848.61%13528347.70%5253795001472581290.0%0.0%90.0%90.0Unlucky
    _Vs Conference178401121312011240.706315788057161452054294107222075156099671725.37%681380.88%113626152.11%14028848.61%13528347.70%52537950014725812966.7%15.1%90.3%105.5FUN
    _Since Last GM Reset2110502121412417300.71441761170771614525542941072226166776126932425.81%811482.72%113626152.11%14028848.61%13528347.70%52537950014725812963.0%16.1%90.8%106.9FUN
    Total2110502121412417300.71441761170771614525542941072226166776126932425.81%811482.72%113626152.11%14028848.61%13528347.70%52537950014725812963.0%16.1%90.8%106.9FUN

    Puck Time
    Offensive Zone 25
    Neutral Zone 12
    Defensive Zone 23
    Puck Time
    Offensive Zone Start 261
    Neutral Zone Start 283
    Defensive Zone Start 288
    Puck Time
    With Puck 31
    Without Puck 29
    Faceoffs
    Faceoffs Won 411
    Faceoffs Lost 421
    Team Average Shots after League Average Shots after
    1st Period 2.09.57
    2nd Period 6.520.31
    3rd Period 11.630.68
    Overtime 12.631.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.30.64
    2nd Period 1.11.65
    3rd Period 1.82.67
    Overtime 2.02.83
    Even Strenght Goal 16
    PP Goal 24
    PK Goal 1
    Empty Net Goal 0
    Home Away
    Win 95
    Lost 14
    Overtime Lost 11
    PP Attempt 93
    PP Goal 24
    PK Attempt 81
    PK Goal Against 14
    Home
    Shots For 12.1
    Shots Against 12.4
    Goals For 2.0
    Goals Against 1.1
    Hits 6.0
    Shots Blocked 3.1
    Pim 37.0
    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@ChicagoChicago
    2018-11-10ChicagoRochester@ChicagoChicago
    2018-11-13ChicagoChicago@ChicagoBridgeport
    2018-11-15ChicagoChicago@ChicagoRochester
    2018-11-16ChicagoPhiladelphie@ChicagoChicago
    2018-11-18ChicagoChicago@ChicagoRochester
    2018-11-19ChicagoPortland@ChicagoChicago
    2018-11-21ChicagoChicago@ChicagoNorfolk
    2018-11-23ChicagoBinghamton@ChicagoChicago
    2018-11-27ChicagoBridgeport@ChicagoChicago
    2018-11-29ChicagoChicago@ChicagoManitoba
    2018-12-01ChicagoBinghamton@ChicagoChicago
    2018-12-03ChicagoChicago@ChicagoFarm Team 32
    2018-12-04ChicagoNorfolk@ChicagoChicago
    2018-12-06ChicagoChicago@ChicagoSpringfield
    2018-12-08ChicagoBridgeport@ChicagoChicago
    2018-12-10ChicagoChicago@ChicagoWorchester
    2018-12-12ChicagoChicago@ChicagoPhiladelphie
    2018-12-13ChicagoManitoba@ChicagoChicago
    2018-12-16ChicagoChicago@ChicagoIowa
    2018-12-17ChicagoToronto@ChicagoChicago
    2018-12-19ChicagoChicago@ChicagoBinghamton
    2018-12-21ChicagoRochester@ChicagoChicago
    2018-12-22ChicagoChicago@ChicagoHartford
    2018-12-24ChicagoHamilton@ChicagoChicago
    2018-12-27ChicagoChicago@ChicagoToronto
    2018-12-28ChicagoChicago@ChicagoGrand Rapids
    2018-12-30ChicagoQuad City@ChicagoChicago
    2019-01-01ChicagoChicago@ChicagoPhiladelphie
    2019-01-02ChicagoManchester@ChicagoChicago
    2019-01-04ChicagoLake Erie@ChicagoChicago
    2019-01-06ChicagoChicago@ChicagoHartford
    2019-01-07ChicagoChicago@ChicagoSpringfield
    2019-01-09ChicagoChicago@ChicagoToronto
    2019-01-10ChicagoWilkes Barre@ChicagoChicago
    2019-01-13ChicagoToronto@ChicagoChicago
    2019-01-16ChicagoHouston@ChicagoChicago
    2019-01-18ChicagoChicago@ChicagoHamilton
    2019-01-19ChicagoHouston@ChicagoChicago
    2019-01-21ChicagoChicago@ChicagoPeroria
    2019-01-22ChicagoProvidence@ChicagoChicago
    2019-01-26ChicagoChicago@ChicagoWilkes Barre
    2019-01-27ChicagoFarm Team 32@ChicagoChicago
    2019-01-29ChicagoAlbany@ChicagoChicago
    2019-01-31ChicagoChicago@ChicagoAlbany
    2019-02-04ChicagoGrand Rapids@ChicagoChicago
    2019-02-06ChicagoChicago@ChicagoHamilton
    2019-02-07ChicagoHartford@ChicagoChicago
    2019-02-09ChicagoChicago@ChicagoSyracuse
    2019-02-11ChicagoChicago@ChicagoProvidence
    2019-02-12ChicagoWilkes Barre@ChicagoChicago
    2019-02-14ChicagoFarm Team 32@ChicagoChicago
    2019-02-17ChicagoChicago@ChicagoLowell
    2019-02-18ChicagoChicago@ChicagoWilkes Barre
    2019-02-19ChicagoHershey@ChicagoChicago
    2019-02-21ChicagoChicago@ChicagoLowell
    2019-02-23ChicagoHershey@ChicagoChicago
    2019-02-24ChicagoChicago@ChicagoHershey
    2019-02-26ChicagoHartford@ChicagoChicago
    2019-02-27ChicagoChicago@ChicagoBridgeport
    2019-03-02ChicagoChicago@ChicagoHershey

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    21,217,666$ 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
    30 0 - 0.00% 0$0$3000100

    Expenses
    Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
    21,217,666$ 21,217,666$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    5,765,028$ 0$ 5,765,028$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 135 133,444$ 15,612,948$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    15,612,948$ 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

    Milwaukee12-9-1, 25pts16Final
    Chicago14-5-2, 30pts

    Chicago14-5-2, 30pts01Final
    Rochester12-10-1, 25pts

    Chicago14-5-2, 30ptsWed, Nov 07
    Rochester12-10-1, 25pts

    Lowell9-10-3, 21ptsSun, Sep 30
    Chicago14-5-2, 30pts

    Chicago14-5-2, 30ptsTue, Oct 02
    Binghamton12-7-2, 26pts

    TRANSACTIONS



     
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    Friday, Nov. 09
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