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    Iowa



    W:20 | L:22 | OTL:8 | PTS:48

    Goals For
    66
    Goals Against
    82
    Power Play
    16.6%
    Penalty Kill
    76.3%
    Team Chemistry
    33
    Team Overall
    59
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    Day 100
    Milwaukee22h00
    Iowa
    Day 102
    Iowa19h30
    Syracuse
    Day 104
    Iowa20h30
    Manitoba
    Day 106
    Quad City22h00
    Iowa
    Day 108
    Iowa19h30
    Lowell
    Day 110
    Springfield22h00
    Iowa
    Day 111
    Iowa22h30
    Houston
    Day 113
    Rockford Icehogs22h00
    Iowa
    Day 115
    Iowa22h30
    Quad City
    Day 116
    Manchester22h00
    Iowa
    Day 119
    Iowa19h30
    Lowell
    Day 120
    Peroria22h00
    Iowa
    Day 122
    Iowa22h00
    Peroria
    Day 124
    Rockford Icehogs22h00
    Iowa
    Day 125
    Iowa19h30
    Toronto
    Day 127
    Syracuse22h00
    Iowa
    Day 129
    Iowa22h30
    Lake Erie
    Day 132
    Lake Erie22h00
    Iowa
    Day 134
    Iowa22h30
    Quad City
    Day 136
    Providence22h00
    Iowa
    Day 139
    Syracuse22h00
    Iowa
    Day 141
    Iowa21h30
    Springfield
    Day 142
    Rochester22h00
    Iowa
    Day 144
    Iowa20h30
    Milwaukee
    Day 146
    Hersey22h00
    Iowa
    Day 150
    Iowa20h30
    Manitoba
    Day 151
    Hersey22h00
    Iowa
    Day 152
    Iowa19h30
    Grand Rapids
    Day 153
    Iowa22h00
    Peroria
    Day 155
    Iowa20h30
    Rockford Icehogs
    Day 156
    Providence22h00
    Iowa
    Day 157
    Iowa19h30
    Grand Rapids
    Roster
    Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
    Taylor Leier0LW100.0058358364687669635764617062676458666123806,588$/1yrs
    Nicholas Baptiste0C/RW100.0061358165787566645562655765656466666022870,000$/1yrs
    Blake Speers0C/RW100.0059406955697882547157596158635845665720925,000$/2yrs
    Dylan Gambrell (R)0C100.00503584527376515263525253526362686653211,137,500$/2yrs
    Kurtis MacDermid0D100.0082747063967167633064615862676443626323
    Brett Kulak (R)0D100.0063417863787384623063615962676460666123650,000$/2yrs
    Dakota Mermis0D100.0057358458737054583058585958676443625723
    Scratches
    TEAM AVERAGE100.00614278607674685948606060606663556559
    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
    1Eric Comrie100.00605694725958605958605965696866610
    Scratches
    TEAM AVERAGE100.0060569472595860595860596569686661
    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
    Blake Speers C/RW20925,000$925,000$ 925,000$
    Brett Kulak D23650,000$650,000$ 650,000$
    Dakota Mermis D230$0$
    Dylan Gambrell C211,137,500$1,137,500$ 1,137,500$
    Eric Comrie G22888,000$888,000$
    Kurtis MacDermid D230$0$
    Nicholas Baptiste C/RW22870,000$870,000$
    Taylor Leier LW23806,588$806,588$

    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
    Portland51200200710-340.40071421001022288561292222613363201333621419.05%23673.91%028962146.54%31662950.24%35168451.32%1217865121234961330542.9%12.5%84.1%96.6FUN
    Hamilton1100000020221.0002460110222889129222261331211759222.22%10100.00%028962146.54%31662950.24%35168451.32%12178651212349613305nan%22.2%100.0%122.2LUCKY
    Wilkes Barre2020000024-200.00024600102228823129222261333545820600.00%9277.78%028962146.54%31662950.24%35168451.32%1217865121234961330550.0%8.7%88.6%97.3Unlucky
    Milwaukee43100000117460.750112132021022288611292222613354112132223834.78%14564.29%028962146.54%31662950.24%35168451.32%1217865121234961330560.0%18.0%87.0%105.1FUN
    Hartford1010000001-100.0000000010222881712922226133115126500.00%10100.00%028962146.54%31662950.24%35168451.32%121786512123496133050.0%0.0%90.9%90.9Unlucky
    Grand Rapids2020000005-500.00000000102228826129222261332711627800.00%6266.67%028962146.54%31662950.24%35168451.32%121786512123496133050.0%0.0%81.5%81.5Unlucky
    Chicago1010000012-100.00012300102228851292222613315422411100.00%6183.33%028962146.54%31662950.24%35168451.32%121786512123496133050.0%20.0%86.7%106.7FUN
    Lake Erie3200000143150.83348120010222883512922226133316471215320.00%16287.50%028962146.54%31662950.24%35168451.32%1217865121234961330550.0%11.4%90.3%101.8FUN
    Hershey1010000002-200.0000000010222881312922226133122378500.00%6183.33%028962146.54%31662950.24%35168451.32%121786512123496133050.0%0.0%83.3%83.3Unlucky
    Manitoba3110010034-130.500369011022288351292222613345151011812216.67%13284.62%028962146.54%31662950.24%35168451.32%1217865121234961330533.3%8.6%91.1%99.7Unlucky
    Hersey3120000025-320.33324611102228845129222261333613122211400.00%11281.82%028962146.54%31662950.24%35168451.32%1217865121234961330540.0%4.4%86.1%90.6Unlucky
    Rockford Icehogs1000010001-110.5000000010222881012922226133104126500.00%10100.00%028962146.54%31662950.24%35168451.32%121786512123496133050.0%0.0%90.0%90.0Unlucky
    Albany1010000013-200.0001230010222887129222261331451223133.33%6183.33%028962146.54%31662950.24%35168451.32%121786512123496133050.0%14.3%78.6%92.9FUN
    Quad City1100000021121.00024600102228813129222261331215443133.33%2150.00%028962146.54%31662950.24%35168451.32%12178651212349613305100.0%15.4%91.7%107.1LUCKY
    Manchester3110100055040.66759140110222884012922226133278631816212.50%9455.56%028962146.54%31662950.24%35168451.32%1217865121234961330575.0%12.5%81.5%94.0FUN
    Philadelphie1010000023-100.0002460010222881412922226133139144400.00%7357.14%028962146.54%31662950.24%35168451.32%12178651212349613305100.0%14.3%76.9%91.2FUN
    Norfolk1010000023-100.00024600102228871292222613314215622100.00%5260.00%028962146.54%31662950.24%35168451.32%121786512123496133050.0%28.6%78.6%107.1FUN
    Springfield3000002176150.83371017001022288561292222613337151922016212.50%11463.64%128962146.54%31662950.24%35168451.32%1217865121234961330571.4%12.5%83.8%96.3FUN
    Binghamton1100000010121.00012301102228811129222261331272953133.33%20100.00%028962146.54%31662950.24%35168451.32%12178651212349613305nan%9.1%100.0%109.1LUCKY
    Worchester4110000258-340.5005101500102228841129222261335115124298225.00%28582.14%028962146.54%31662950.24%35168451.32%1217865121234961330550.0%12.2%84.3%96.5FUN
    Bridgeport1010000012-100.00011200102228810129222261331071347400.00%6266.67%028962146.54%31662950.24%35168451.32%12178651212349613305100.0%10.0%80.0%90.0FUN
    Syracuse1000100032121.00036900102228816129222261331344584125.00%5180.00%028962146.54%31662950.24%35168451.32%1217865121234961330566.7%18.8%84.6%103.4FUN
    Rochester1100000010121.00012301102228811129222261331521133133.33%30100.00%028962146.54%31662950.24%35168451.32%12178651212349613305nan%9.1%100.0%109.1LUCKY
    Houston3010200032140.66735801102228839129222261333510124161119.09%7185.71%028962146.54%31662950.24%35168451.32%1217865121234961330566.7%7.7%94.3%102.0DULL
    Peroria1010000001-100.0000000010222881012922226133194187400.00%50100.00%028962146.54%31662950.24%35168451.32%121786512123496133050.0%0.0%94.7%94.7DULL
    Farm Team 321010000012-100.0001230010222881512922226133113826116.67%4250.00%028962146.54%31662950.24%35168451.32%12178651212349613305nan%6.7%81.8%88.5Unlucky
    _Vs Division2346012023241-9140.3043259911310222883011292222613328290797148961414.58%1012674.26%128962146.54%31662950.24%35168451.32%1217865121234961330554.5%10.6%85.5%96.1FUN
    _Vs Conference371112044245260-8420.56852971491610222884831292222613346013713102241602616.25%1513576.82%128962146.54%31662950.24%35168451.32%1217865121234961330551.0%10.8%87.0%97.7FUN
    _Since Last GM Reset501422044246682-16480.480661241901910222886251292222613363419816692962113516.59%2074976.33%128962146.54%31662950.24%35168451.32%1217865121234961330548.4%10.6%87.1%97.6FUN
    Total501422044246682-16480.480661241901910222886251292222613363419816692962113516.59%2074976.33%128962146.54%31662950.24%35168451.32%1217865121234961330548.4%10.6%87.1%97.6FUN

    Puck Time
    Offensive Zone 24
    Neutral Zone 12
    Defensive Zone 24
    Puck Time
    Offensive Zone Start 621
    Neutral Zone Start 684
    Defensive Zone Start 629
    Puck Time
    With Puck 30
    Without Puck 30
    Faceoffs
    Faceoffs Won 956
    Faceoffs Lost 978
    Team Average Shots after League Average Shots after
    1st Period 2.69.57
    2nd Period 7.020.31
    3rd Period 12.230.68
    Overtime 12.931.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.20.64
    2nd Period 0.61.65
    3rd Period 1.22.67
    Overtime 1.42.83
    Even Strenght Goal 29
    PP Goal 35
    PK Goal 1
    Empty Net Goal 1
    Home Away
    Win 128
    Lost 1210
    Overtime Lost 26
    PP Attempt 211
    PP Goal 35
    PK Attempt 207
    PK Goal Against 49
    Home
    Shots For 12.5
    Shots Against 12.7
    Goals For 1.3
    Goals Against 1.6
    Hits 5.9
    Shots Blocked 4.0
    Pim 33.4
    Schedule
    DateMatchup Result Detail
    2018-09-27IowaMilwaukee@IowaIowaMilwaukee0,Iowa2RECAP
    2018-09-29IowaIowa@IowaMilwaukeeIowa2,Milwaukee3RECAP
    2018-09-30IowaIowa@IowaManitobaIowa2,Manitoba3 (OT)RECAP
    2018-10-02IowaGrand Rapids@IowaIowaGrand Rapids4,Iowa0RECAP
    2018-10-04IowaIowa@IowaWorchesterIowa1,Worchester2 (SO)RECAP
    2018-10-05IowaIowa@IowaPortlandIowa1,Portland2 (OT)RECAP
    2018-10-07IowaHouston@IowaIowaHouston1,Iowa0RECAP
    2018-10-09IowaHersey@IowaIowaHersey2,Iowa0RECAP
    2018-10-11IowaIowa@IowaLake ErieIowa0,Lake Erie1 (SO)RECAP
    2018-10-13IowaLake Erie@IowaIowaLake Erie1,Iowa2RECAP
    2018-10-15IowaManchester@IowaIowaManchester1,Iowa2 (OT)RECAP
    2018-10-19IowaSpringfield@IowaIowaSpringfield2,Iowa1 (SO)RECAP
    2018-10-21IowaIowa@IowaSyracuseIowa3,Syracuse2 (OT)RECAP
    2018-10-23IowaWorchester@IowaIowaWorchester1,Iowa0 (SO)RECAP
    2018-10-25IowaIowa@IowaPortlandIowa1,Portland2 (OT)RECAP
    2018-10-26IowaPortland@IowaIowaPortland4,Iowa3RECAP
    2018-10-28IowaIowa@IowaWorchesterIowa1,Worchester4RECAP
    2018-10-31IowaManitoba@IowaIowaManitoba1,Iowa0RECAP
    2018-11-02IowaIowa@IowaWilkes BarreIowa1,Wilkes Barre2RECAP
    2018-11-03IowaWorchester@IowaIowaWorchester1,Iowa3RECAP
    2018-11-05IowaIowa@IowaFarm Team 32Iowa1,Farm Team 322RECAP
    2018-11-07IowaPortland@IowaIowaPortland1,Iowa0RECAP
    2018-11-10IowaIowa@IowaManchesterIowa1,Manchester4RECAP
    2018-11-12IowaAlbany@IowaIowaAlbany3,Iowa1RECAP
    2018-11-13IowaIowa@IowaHerseyIowa1,Hersey0RECAP
    2018-11-15IowaMilwaukee@IowaIowaMilwaukee0,Iowa2RECAP
    2018-11-17IowaIowa@IowaPhiladelphieIowa2,Philadelphie3RECAP
    2018-11-19IowaRochester@IowaIowaRochester0,Iowa1RECAP
    2018-11-21IowaIowa@IowaHartfordIowa0,Hartford1RECAP
    2018-11-22IowaManitoba@IowaIowaManitoba0,Iowa1RECAP
    2018-11-27IowaBinghamton@IowaIowaBinghamton0,Iowa1RECAP
    2018-11-29IowaIowa@IowaHoustonIowa1,Houston0 (OT)RECAP
    2018-12-01IowaGrand Rapids@IowaIowaGrand Rapids1,Iowa0RECAP
    2018-12-03IowaIowa@IowaBridgeportIowa1,Bridgeport2RECAP
    2018-12-04IowaIowa@IowaRockford IcehogsIowa0,Rockford Icehogs1 (OT)RECAP
    2018-12-06IowaHershey@IowaIowaHershey2,Iowa0RECAP
    2018-12-08IowaSpringfield@IowaIowaSpringfield2,Iowa3 (SO)RECAP
    2018-12-09IowaIowa@IowaSpringfieldIowa3,Springfield2 (SO)RECAP
    2018-12-11IowaIowa@IowaHamiltonIowa2,Hamilton0RECAP
    2018-12-13IowaPeroria@IowaIowaPeroria1,Iowa0RECAP
    2018-12-16IowaChicago@IowaIowaChicago2,Iowa1RECAP
    2018-12-18IowaIowa@IowaPortlandIowa2,Portland1RECAP
    2018-12-19IowaLake Erie@IowaIowaLake Erie1,Iowa2RECAP
    2018-12-22IowaIowa@IowaMilwaukeeIowa5,Milwaukee4RECAP
    2018-12-23IowaIowa@IowaManchesterIowa2,Manchester0RECAP
    2018-12-24IowaWilkes Barre@IowaIowaWilkes Barre2,Iowa1RECAP
    2018-12-27IowaIowa@IowaNorfolkIowa2,Norfolk3RECAP
    2018-12-28IowaQuad City@IowaIowaQuad City1,Iowa2RECAP
    2018-12-31IowaIowa@IowaHerseyIowa1,Hersey3RECAP
    2019-01-01IowaHouston@IowaIowaHouston1,Iowa2 (OT)RECAP
    2019-01-03IowaMilwaukee@IowaIowa
    2019-01-05IowaIowa@IowaSyracuse
    2019-01-07IowaIowa@IowaManitoba
    2019-01-09IowaQuad City@IowaIowa
    2019-01-11IowaIowa@IowaLowell
    2019-01-13IowaSpringfield@IowaIowa
    2019-01-14IowaIowa@IowaHouston
    2019-01-16IowaRockford Icehogs@IowaIowa
    2019-01-18IowaIowa@IowaQuad City
    2019-01-19IowaManchester@IowaIowa
    2019-01-22IowaIowa@IowaLowell
    2019-01-23IowaPeroria@IowaIowa
    2019-01-25IowaIowa@IowaPeroria
    2019-01-27IowaRockford Icehogs@IowaIowa
    2019-01-28IowaIowa@IowaToronto
    2019-01-30IowaSyracuse@IowaIowa
    2019-02-01IowaIowa@IowaLake Erie
    2019-02-04IowaLake Erie@IowaIowa
    2019-02-06IowaIowa@IowaQuad City
    2019-02-08IowaProvidence@IowaIowa
    2019-02-11IowaSyracuse@IowaIowa
    2019-02-13IowaIowa@IowaSpringfield
    2019-02-14IowaRochester@IowaIowa
    2019-02-16IowaIowa@IowaMilwaukee
    2019-02-18IowaHersey@IowaIowa
    2019-02-22IowaIowa@IowaManitoba
    2019-02-23IowaHersey@IowaIowa
    2019-02-24IowaIowa@IowaGrand Rapids
    2019-02-25IowaIowa@IowaPeroria
    2019-02-27IowaIowa@IowaRockford Icehogs
    2019-02-28IowaProvidence@IowaIowa
    2019-03-01IowaIowa@IowaGrand Rapids

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    5,277,088$ 0$ 0$ 75,000,000$

    ArenaAbout us
    Name
    CityIowa
    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
    15 0 - 0.00% 0$0$3000100

    Expenses
    Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
    5,277,088$ 5,277,088$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    3,285,711$ 0$ 3,285,711$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 78 33,189$ 1,991,340$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    1,991,340$ 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

    Iowa20-22-8, 48pts13Final
    Hersey29-16-8, 66pts

    Houston27-19-6, 60pts12Final
    Iowa20-22-8, 48pts

    Houston27-19-6, 60ptsWed, Jan 02
    Iowa20-22-8, 48pts

    Iowa20-22-8, 48ptsSun, Sep 30
    Milwaukee29-20-2, 60pts

    Iowa20-22-8, 48ptsMon, Oct 01
    Manitoba25-24-3, 53pts

    TRANSACTIONS



     
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    Friday, Jan. 04
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    Team Information
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