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    Manchester



    W:10 | L:6 | OTL:0 | PTS:20

    Goals For
    22
    Goals Against
    15
    Power Play
    23.8%
    Penalty Kill
    78.0%
    Team Chemistry
    93
    Team Overall
    58
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    Day 36
    Portland22h00
    Manchester
    Day 38
    Manchester21h00
    Portland
    Day 40
    Portland22h00
    Manchester
    Day 42
    Manchester21h00
    Portland
    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/RW100.00715081657381596464646468646161848462191,425,000$/3yrs
    Frederik Gauthier0C100.0066357962967254616560586359656381845922863,000$/1yrs
    Jordan Schroeder0C/LW/RW100.0063357863637060626962625962756868505927650,000$/2yrs
    Sergey Tolchinsky0LW/RW100.0055357059627474585564595758676045845722608,000$/1yrs
    Laurent Dauphin0C/LW100.0056357957737571557256535956656375845622894,000$/1yrs
    Eeli Tolvanen (R)0RW100.00583584526979515250525253525959808453183,145,833$/3yrs
    Ethan Bear (R)0D100.0059358765748259653067636064616159846020733,000$/3yrs
    Andrei Mironov (R)0D100.0073358160827055603061606160676460856023
    Victor Mete (R)0D100.0055358863667762633066606262606063845919870,000$/3yrs
    Jacob Larsson0D100.0063447055797576543060565855615781845820925,000$/2yrs
    Daniel Brickley (R)0D100.0062358454846950543060505252656344845522
    Scratches
    TEAM AVERAGE100.00623780607575615948615859596462678158
    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
    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
    Portland3210000055040.667510150025123523349932744151181511436.36%16568.75%010221447.66%11923251.29%9119247.40%386271423115206103100.0%9.6%88.6%98.3FUN
    Rockford Icehogs6420000084480.667814220225123653349932780334213424520.83%23386.96%010221447.66%11923251.29%9119247.40%38627142311520610375.0%12.3%95.0%107.3LUCKY
    Peroria7430000096380.571917260425123853349932787292204228621.43%20575.00%010221447.66%11923251.29%9119247.40%38627142311520610375.0%10.6%93.1%103.7LUCKY
    _Vs Division3210000055040.667510150025123523349932744151181511436.36%16568.75%010221447.66%11923251.29%9119247.40%386271423115206103100.0%9.6%88.6%98.3FUN
    _Vs Conference161060000022157200.6252241630625123202334993272117775991631523.81%591377.97%010221447.66%11923251.29%9119247.40%38627142311520610377.8%10.9%92.9%103.8LUCKY
    _Since Last GM Reset161060000022157200.6252241630625123202334993272117775991631523.81%591377.97%010221447.66%11923251.29%9119247.40%38627142311520610377.8%10.9%92.9%103.8LUCKY
    Total161060000022157200.6252241630625123202334993272117775991631523.81%591377.97%010221447.66%11923251.29%9119247.40%38627142311520610377.8%10.9%92.9%103.8LUCKY

    Puck Time
    Offensive Zone 24
    Neutral Zone 12
    Defensive Zone 26
    Puck Time
    Offensive Zone Start 214
    Neutral Zone Start 192
    Defensive Zone Start 232
    Puck Time
    With Puck 30
    Without Puck 32
    Faceoffs
    Faceoffs Won 312
    Faceoffs Lost 326
    Team Average Shots after League Average Shots after
    1st Period 2.19.57
    2nd Period 5.120.31
    3rd Period 10.930.68
    Overtime 12.631.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.10.64
    2nd Period 0.41.65
    3rd Period 1.22.67
    Overtime 1.42.83
    Even Strenght Goal 7
    PP Goal 15
    PK Goal 0
    Empty Net Goal 0
    Home Away
    Win 46
    Lost 33
    Overtime Lost 00
    PP Attempt 63
    PP Goal 15
    PK Attempt 59
    PK Goal Against 13
    Home
    Shots For 12.6
    Shots Against 13.2
    Goals For 1.4
    Goals Against 0.9
    Hits 5.7
    Shots Blocked 4.8
    Pim 47.4
    Schedule
    DateMatchup Result Detail
    2018-09-27ManchesterManchester@ManchesterRockford IcehogsManchester0,Rockford Icehogs1 (OT)RECAP
    2018-09-29ManchesterManchester@ManchesterRockford IcehogsManchester0,Rockford Icehogs1RECAP
    2018-10-01ManchesterRockford Icehogs@ManchesterManchesterRockford Icehogs1,Manchester4RECAP
    2018-10-03ManchesterRockford Icehogs@ManchesterManchesterRockford Icehogs0,Manchester1 (OT)RECAP
    2018-10-05ManchesterManchester@ManchesterRockford IcehogsManchester1,Rockford Icehogs0RECAP
    2018-10-07ManchesterRockford Icehogs@ManchesterManchesterRockford Icehogs1,Manchester2RECAP
    2018-10-11ManchesterManchester@ManchesterPeroriaManchester1,Peroria0RECAP
    2018-10-13ManchesterManchester@ManchesterPeroriaManchester1,Peroria2RECAP
    2018-10-15ManchesterPeroria@ManchesterManchesterPeroria0,Manchester1RECAP
    2018-10-17ManchesterPeroria@ManchesterManchesterPeroria1,Manchester0RECAP
    2018-10-19ManchesterManchester@ManchesterPeroriaManchester2,Peroria0RECAP
    2018-10-21ManchesterPeroria@ManchesterManchesterPeroria3,Manchester2 (OT)RECAP
    2018-10-23ManchesterManchester@ManchesterPeroriaManchester2,Peroria0RECAP
    2018-10-25ManchesterManchester@ManchesterPortlandManchester2,Portland1 (OT)RECAP
    2018-10-27ManchesterManchester@ManchesterPortlandManchester2,Portland1 (OT)RECAP
    2018-10-29ManchesterPortland@ManchesterManchesterPortland3,Manchester1RECAP
    2018-10-31ManchesterPortland@ManchesterManchester
    2018-11-02ManchesterManchester@ManchesterPortland
    2018-11-04ManchesterPortland@ManchesterManchester
    2018-11-06ManchesterManchester@ManchesterPortland

    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
    34 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
    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

    Manchester10-6-0, 20pts21Final
    Portland9-5-0, 18pts

    Portland9-5-0, 18pts31Final
    Manchester10-6-0, 20pts

    Portland9-5-0, 18ptsTue, Oct 30
    Manchester10-6-0, 20pts

    Manchester10-6-0, 20ptsSun, Sep 30
    Rockford Icehogs2-4-0, 4pts

    Rockford Icehogs2-4-0, 4ptsTue, Oct 02
    Manchester10-6-0, 20pts

    TRANSACTIONS



     
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