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    Manchester



    W:30 | L:16 | OTL:6 | PTS:66

    Goals For
    75
    Goals Against
    64
    Power Play
    17.1%
    Penalty Kill
    79.6%
    Team Chemistry
    65
    Team Overall
    58
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    Day 100
    Manchester19h30
    Farm Team 32
    Day 101
    Bridgeport22h00
    Manchester
    Day 103
    Manchester21h30
    Hersey
    Day 105
    Lowell22h00
    Manchester
    Day 107
    Manchester19h30
    Farm Team 32
    Day 108
    Springfield22h00
    Manchester
    Day 110
    Manchester20h30
    Rockford Icehogs
    Day 112
    Farm Team 3222h00
    Manchester
    Day 115
    Hartford22h00
    Manchester
    Day 116
    Manchester22h00
    Iowa
    Day 118
    Toronto22h00
    Manchester
    Day 121
    Houston22h00
    Manchester
    Day 122
    Manchester22h30
    Lake Erie
    Day 125
    Milwaukee22h00
    Manchester
    Day 126
    Manchester21h00
    Portland
    Day 128
    Springfield22h00
    Manchester
    Day 130
    Manchester22h30
    Houston
    Day 133
    Worchester22h00
    Manchester
    Day 134
    Manchester21h00
    Portland
    Day 137
    Portland22h00
    Manchester
    Day 139
    Manchester21h30
    Hersey
    Day 141
    Lake Erie22h00
    Manchester
    Day 143
    Manchester22h30
    Houston
    Day 144
    Lake Erie22h00
    Manchester
    Day 145
    Manchester19h30
    Rochester
    Day 148
    Houston22h00
    Manchester
    Day 151
    Manchester19h30
    Wilkes Barre
    Day 153
    Manitoba22h00
    Manchester
    Day 154
    Manchester19h30
    Wilkes Barre
    Day 158
    Manitoba22h00
    Manchester
    Roster
    Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
    Luke Kunin0C/RW100.00715081657381596464646468646161846662191,425,000$/3yrs
    Frederik Gauthier0C100.0066357962967254616560586359656381665922863,000$/1yrs
    Jordan Schroeder0C/LW/RW100.0063357863637060626962625962756868245927650,000$/2yrs
    Sergey Tolchinsky0LW/RW100.0055357059627474585564595758676045665722608,000$/1yrs
    Laurent Dauphin0C/LW100.0056357957737571557256535956656375665622894,000$/1yrs
    Eeli Tolvanen (R)0RW100.00583584526979515250525253525959806653183,145,833$/3yrs
    Ethan Bear (R)0D100.0059358765748259653067636064616159666020733,000$/3yrs
    Andrei Mironov (R)0D100.0073358160827055603061606160676460646023
    Victor Mete (R)0D100.0055358863667762633066606262606063585919870,000$/3yrs
    Jacob Larsson0D100.0063447055797576543060565855615781665820925,000$/2yrs
    Daniel Brickley (R)0D100.0062358454846950543060505252656344635522
    Scratches
    TEAM AVERAGE100.00623780607575615948615859596462676158
    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 # 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
    Andrei Mironov D230$0$
    Daniel Brickley D220$0$
    Eeli Tolvanen RW183,145,833$3,145,833$ 3,145,833$ 3,145,833$
    Ethan Bear D20733,000$733,000$ 733,000$ 733,000$
    Frederik Gauthier C22863,000$863,000$
    Jacob Larsson D20925,000$925,000$ 925,000$
    Jordan Schroeder C/LW/RW27650,000$650,000$ 650,000$
    Laurent Dauphin C/LW22894,000$894,000$
    Luke Kunin C/RW191,425,000$1,425,000$ 1,425,000$ 1,425,000$
    Sergey Tolchinsky LW/RW22608,000$608,000$
    Victor Mete D19870,000$870,000$ 870,000$ 870,000$

    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
    Providence2010001011020.500101011121331424139229279542494019200.00%5180.00%033367649.26%32865849.85%32766649.10%13529901206358626312100.0%4.2%95.8%100.0DULL
    Portland1010000003-300.00000000112133141113922927954117633300.00%4250.00%033367649.26%32865849.85%32766649.10%135299012063586263120.0%0.0%72.7%72.7Unlucky
    Hamilton1000001021121.000224001121331414139229279541754554125.00%5180.00%033367649.26%32865849.85%32766649.10%13529901206358626312100.0%14.3%94.1%108.4LUCKY
    Iowa3110010055030.5005101500112133142713922927954401897149444.44%16287.50%033367649.26%32865849.85%32766649.10%1352990120635862631225.0%18.5%87.5%106.0FUN
    Milwaukee3210000042240.66748120111213314401392292795430664229222.22%12283.33%033367649.26%32865849.85%32766649.10%13529901206358626312100.0%10.0%93.3%103.3LUCKY
    Grand Rapids4200101072581.000712190211213314441392292795446141802318422.22%10280.00%033367649.26%32865849.85%32766649.10%13529901206358626312100.0%15.9%95.7%111.6LUCKY
    Chicago1010000001-100.0000000011213314151392292795482617600.00%30100.00%033367649.26%32865849.85%32766649.10%135299012063586263120.0%0.0%87.5%87.5Unlucky
    Lake Erie1010000001-100.0000000011213314121392292795411583500.00%4175.00%033367649.26%32865849.85%32766649.10%13529901206358626312nan%0.0%90.9%90.9Unlucky
    Hershey2200000031241.00036901112133142913922927954251266128112.50%13192.31%033367649.26%32865849.85%32766649.10%13529901206358626312100.0%10.3%96.0%106.3LUCKY
    Manitoba2200000020241.00023502112133143213922927954164105710110.00%50100.00%033367649.26%32865849.85%32766649.10%13529901206358626312100.0%6.3%100.0%106.3DULL
    Hersey2010001066020.5006101600112133143413922927954329180158225.00%15660.00%133367649.26%32865849.85%32766649.10%13529901206358626312100.0%17.6%81.3%98.9FUN
    Rockford Icehogs5110101176170.700712190111213314691392292795468204112622313.64%19384.21%033367649.26%32865849.85%32766649.10%1352990120635862631257.1%10.1%91.2%101.3LUCKY
    Albany1100000032121.000369001121331415139229279541002223133.33%6266.67%033367649.26%32865849.85%32766649.10%13529901206358626312100.0%20.0%80.0%100.0FUN
    Quad City4310000085360.750815230111213314421392292795447131312923626.09%19573.68%033367649.26%32865849.85%32766649.10%13529901206358626312100.0%19.0%89.4%108.4FUN
    Philadelphie1100000010121.00012301112133141413922927954173516500.00%30100.00%033367649.26%32865849.85%32766649.10%13529901206358626312100.0%7.1%100.0%107.1DULL
    Norfolk1010000013-200.0001120011213314191392292795424811775120.00%6183.33%033367649.26%32865849.85%32766649.10%135299012063586263120.0%5.3%87.5%92.8Unlucky
    Springfield2000001144030.750461000112133142413922927954281420128112.50%5260.00%033367649.26%32865849.85%32766649.10%1352990120635862631260.0%16.7%85.7%102.4FUN
    Binghamton1100000031221.0003690011213314151392292795412116833100.00%30100.00%033367649.26%32865849.85%32766649.10%135299012063586263120.0%20.0%91.7%111.7LUCKY
    Worchester5220010056-150.50051015021121331469139229279546711204332114.76%23578.26%033367649.26%32865849.85%32766649.10%1352990120635862631280.0%7.2%91.0%98.3Unlucky
    Syracuse5120011077050.500711180111213314551392292795463181383518211.11%20385.00%033367649.26%32865849.85%32766649.10%1352990120635862631255.6%12.7%88.9%101.6FUN
    Rochester1010000002-200.00000000112133141013922927954124144500.00%20100.00%033367649.26%32865849.85%32766649.10%135299012063586263120.0%0.0%83.3%83.3Unlucky
    Peroria4110001165150.625610160011213314531392292795450171413316318.75%13469.23%033367649.26%32865849.85%32766649.10%1352990120635862631275.0%11.3%90.0%101.3FUN
    _Vs Division16350021025241100.3132544690511213314212139229279542015870399731115.07%712071.83%133367649.26%32865849.85%32766649.10%1352990120635862631277.8%11.8%88.1%99.9FUN
    _Vs Conference4115120236361529520.63461107168010112133145121392292795450915617422551702917.06%1653777.58%133367649.26%32865849.85%32766649.10%1352990120635862631268.1%11.9%89.8%101.7FUN
    _Since Last GM Reset52201602383756411660.63575130205013112133146671392292795465820021743252113617.06%2114379.62%133367649.26%32865849.85%32766649.10%1352990120635862631265.0%11.2%90.3%101.5FUN
    Total52201602383756411660.63575130205013112133146671392292795465820021743252113617.06%2114379.62%133367649.26%32865849.85%32766649.10%1352990120635862631265.0%11.2%90.3%101.5FUN

    Puck Time
    Offensive Zone 26
    Neutral Zone 12
    Defensive Zone 23
    Puck Time
    Offensive Zone Start 676
    Neutral Zone Start 666
    Defensive Zone Start 658
    Puck Time
    With Puck 31
    Without Puck 29
    Faceoffs
    Faceoffs Won 988
    Faceoffs Lost 1012
    Team Average Shots after League Average Shots after
    1st Period 2.79.57
    2nd Period 7.120.31
    3rd Period 12.430.68
    Overtime 13.531.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.20.64
    2nd Period 0.61.65
    3rd Period 1.32.67
    Overtime 1.52.83
    Even Strenght Goal 38
    PP Goal 36
    PK Goal 1
    Empty Net Goal 0
    Home Away
    Win 1614
    Lost 88
    Overtime Lost 15
    PP Attempt 211
    PP Goal 36
    PK Attempt 211
    PK Goal Against 43
    Home
    Shots For 12.8
    Shots Against 12.7
    Goals For 1.4
    Goals Against 1.2
    Hits 6.3
    Shots Blocked 3.8
    Pim 41.8
    Schedule
    DateMatchup Result Detail
    2018-09-26ManchesterGrand Rapids@ManchesterManchesterGrand Rapids1,Manchester2 (OT)RECAP
    2018-09-28ManchesterManchester@ManchesterRockford IcehogsManchester3,Rockford Icehogs1RECAP
    2018-09-29ManchesterQuad City@ManchesterManchesterQuad City0,Manchester1RECAP
    2018-10-01ManchesterManchester@ManchesterMilwaukeeManchester2,Milwaukee1RECAP
    2018-10-03ManchesterManchester@ManchesterManitobaManchester1,Manitoba0RECAP
    2018-10-04ManchesterManchester@ManchesterSyracuseManchester0,Syracuse1RECAP
    2018-10-06ManchesterRockford Icehogs@ManchesterManchesterRockford Icehogs0,Manchester1 (SO)RECAP
    2018-10-08ManchesterRockford Icehogs@ManchesterManchesterRockford Icehogs1,Manchester2 (OT)RECAP
    2018-10-10ManchesterWorchester@ManchesterManchesterWorchester2,Manchester0RECAP
    2018-10-12ManchesterManchester@ManchesterQuad CityManchester3,Quad City1RECAP
    2018-10-14ManchesterManchester@ManchesterPeroriaManchester0,Peroria1 (SO)RECAP
    2018-10-15ManchesterManchester@ManchesterIowaManchester1,Iowa2 (OT)RECAP
    2018-10-17ManchesterWorchester@ManchesterManchesterWorchester2,Manchester1RECAP
    2018-10-19ManchesterManchester@ManchesterProvidenceManchester1,Providence0 (SO)RECAP
    2018-10-21ManchesterPortland@ManchesterManchesterPortland3,Manchester0RECAP
    2018-10-24ManchesterManchester@ManchesterGrand RapidsManchester2,Grand Rapids0RECAP
    2018-10-25ManchesterManchester@ManchesterWorchesterManchester2,Worchester0RECAP
    2018-10-27ManchesterWorchester@ManchesterManchesterWorchester0,Manchester1RECAP
    2018-10-30ManchesterRockford Icehogs@ManchesterManchesterRockford Icehogs2,Manchester0RECAP
    2018-11-01ManchesterManchester@ManchesterManitobaManchester1,Manitoba0RECAP
    2018-11-02ManchesterQuad City@ManchesterManchesterQuad City1,Manchester2RECAP
    2018-11-04ManchesterManchester@ManchesterHersheyManchester1,Hershey0RECAP
    2018-11-06ManchesterSyracuse@ManchesterManchesterSyracuse0,Manchester4RECAP
    2018-11-09ManchesterManchester@ManchesterSyracuseManchester0,Syracuse3RECAP
    2018-11-10ManchesterIowa@ManchesterManchesterIowa1,Manchester4RECAP
    2018-11-12ManchesterManchester@ManchesterQuad CityManchester2,Quad City3RECAP
    2018-11-14ManchesterHershey@ManchesterManchesterHershey1,Manchester2RECAP
    2018-11-16ManchesterManchester@ManchesterBinghamtonManchester3,Binghamton1RECAP
    2018-11-18ManchesterManchester@ManchesterRockford IcehogsManchester1,Rockford Icehogs2 (SO)RECAP
    2018-11-19ManchesterPeroria@ManchesterManchesterPeroria1,Manchester3RECAP
    2018-11-22ManchesterSyracuse@ManchesterManchesterSyracuse1,Manchester0 (OT)RECAP
    2018-11-23ManchesterManchester@ManchesterSpringfieldManchester2,Springfield3 (SO)RECAP
    2018-11-25ManchesterHersey@ManchesterManchesterHersey4,Manchester5 (SO)RECAP
    2018-11-28ManchesterManchester@ManchesterGrand RapidsManchester1,Grand Rapids0RECAP
    2018-12-01ManchesterHersey@ManchesterManchesterHersey2,Manchester1RECAP
    2018-12-03ManchesterHamilton@ManchesterManchesterHamilton1,Manchester2 (SO)RECAP
    2018-12-05ManchesterManchester@ManchesterPeroriaManchester1,Peroria2RECAP
    2018-12-06ManchesterManchester@ManchesterRochesterManchester0,Rochester2RECAP
    2018-12-08ManchesterPeroria@ManchesterManchesterPeroria1,Manchester2 (SO)RECAP
    2018-12-10ManchesterGrand Rapids@ManchesterManchesterGrand Rapids1,Manchester2 (SO)RECAP
    2018-12-12ManchesterManchester@ManchesterSyracuseManchester3,Syracuse2 (SO)RECAP
    2018-12-13ManchesterManchester@ManchesterMilwaukeeManchester2,Milwaukee0RECAP
    2018-12-15ManchesterPhiladelphie@ManchesterManchesterPhiladelphie0,Manchester1RECAP
    2018-12-18ManchesterManchester@ManchesterProvidenceManchester0,Providence1RECAP
    2018-12-19ManchesterNorfolk@ManchesterManchesterNorfolk3,Manchester1RECAP
    2018-12-21ManchesterManchester@ManchesterWorchesterManchester1,Worchester2 (OT)RECAP
    2018-12-23ManchesterIowa@ManchesterManchesterIowa2,Manchester0RECAP
    2018-12-25ManchesterManchester@ManchesterLake ErieManchester0,Lake Erie1RECAP
    2018-12-27ManchesterAlbany@ManchesterManchesterAlbany2,Manchester3RECAP
    2018-12-29ManchesterManchester@ManchesterSpringfieldManchester2,Springfield1 (SO)RECAP
    2018-12-31ManchesterMilwaukee@ManchesterManchesterMilwaukee1,Manchester0RECAP
    2019-01-02ManchesterManchester@ManchesterChicagoManchester0,Chicago1RECAP
    2019-01-03ManchesterManchester@ManchesterFarm Team 32
    2019-01-04ManchesterBridgeport@ManchesterManchester
    2019-01-06ManchesterManchester@ManchesterHersey
    2019-01-08ManchesterLowell@ManchesterManchester
    2019-01-10ManchesterManchester@ManchesterFarm Team 32
    2019-01-11ManchesterSpringfield@ManchesterManchester
    2019-01-13ManchesterManchester@ManchesterRockford Icehogs
    2019-01-15ManchesterFarm Team 32@ManchesterManchester
    2019-01-18ManchesterHartford@ManchesterManchester
    2019-01-19ManchesterManchester@ManchesterIowa
    2019-01-21ManchesterToronto@ManchesterManchester
    2019-01-24ManchesterHouston@ManchesterManchester
    2019-01-25ManchesterManchester@ManchesterLake Erie
    2019-01-28ManchesterMilwaukee@ManchesterManchester
    2019-01-29ManchesterManchester@ManchesterPortland
    2019-01-31ManchesterSpringfield@ManchesterManchester
    2019-02-02ManchesterManchester@ManchesterHouston
    2019-02-05ManchesterWorchester@ManchesterManchester
    2019-02-06ManchesterManchester@ManchesterPortland
    2019-02-09ManchesterPortland@ManchesterManchester
    2019-02-11ManchesterManchester@ManchesterHersey
    2019-02-13ManchesterLake Erie@ManchesterManchester
    2019-02-15ManchesterManchester@ManchesterHouston
    2019-02-16ManchesterLake Erie@ManchesterManchester
    2019-02-17ManchesterManchester@ManchesterRochester
    2019-02-20ManchesterHouston@ManchesterManchester
    2019-02-23ManchesterManchester@ManchesterWilkes Barre
    2019-02-25ManchesterManitoba@ManchesterManchester
    2019-02-26ManchesterManchester@ManchesterWilkes Barre
    2019-03-02ManchesterManitoba@ManchesterManchester

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    10,113,833$ 0$ 0$ 75,000,000$

    ArenaAbout us
    Name
    CityManchester
    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
    16 0 - 0.00% 0$0$3000100

    Expenses
    Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
    10,113,833$ 10,113,833$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    6,372,141$ 0$ 6,372,141$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 78 63,609$ 3,816,540$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    3,816,540$ 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

    Milwaukee29-20-2, 60pts10Final
    Manchester30-16-6, 66pts

    Manchester30-16-6, 66pts01Final
    Chicago29-16-6, 64pts

    Manchester30-16-6, 66ptsThu, Jan 03
    Chicago29-16-6, 64pts

    Manchester30-16-6, 66ptsSat, Sep 29
    Rockford Icehogs27-16-8, 62pts

    Quad City22-25-5, 49ptsSun, Sep 30
    Manchester30-16-6, 66pts

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