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    Portland



    W:10 | L:8 | OTL:4 | PTS:24

    Goals For
    32
    Goals Against
    31
    Power Play
    23.2%
    Penalty Kill
    84.8%
    Team Chemistry
    46
    Team Overall
    58
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    Day 43
    Portland22h00
    Iowa
    Day 45
    Portland19h30
    Hamilton
    Day 47
    Hershey21h00
    Portland
    Day 49
    Worchester21h00
    Portland
    Day 51
    Houston21h00
    Portland
    Day 53
    Portland19h30
    Rochester
    Day 55
    Portland19h30
    Chicago
    Day 56
    Portland19h30
    Providence
    Day 58
    Rockford Icehogs21h00
    Portland
    Day 60
    Lowell21h00
    Portland
    Day 64
    Portland21h30
    Springfield
    Day 65
    Quad City21h00
    Portland
    Day 68
    Manitoba21h00
    Portland
    Day 70
    Portland19h30
    Toronto
    Day 71
    Portland20h30
    Manitoba
    Day 73
    Portland19h30
    Syracuse
    Day 74
    Lake Erie21h00
    Portland
    Day 76
    Houston21h00
    Portland
    Day 78
    Portland20h30
    Rockford Icehogs
    Day 80
    Syracuse21h00
    Portland
    Day 82
    Portland19h30
    Grand Rapids
    Day 84
    Iowa21h00
    Portland
    Day 87
    Hartford21h00
    Portland
    Day 88
    Portland19h30
    Wilkes Barre
    Day 90
    Portland20h30
    Worchester
    Day 92
    Portland20h30
    Hershey
    Day 93
    Rochester21h00
    Portland
    Day 95
    Portland19h30
    Philadelphie
    Day 97
    Hamilton21h00
    Portland
    Day 98
    Portland20h30
    Milwaukee
    Day 100
    Portland19h30
    Syracuse
    Day 101
    Worchester21h00
    Portland
    Day 104
    Binghamton21h00
    Portland
    Day 106
    Portland22h30
    Lake Erie
    Day 107
    Binghamton21h00
    Portland
    Day 110
    Portland19h30
    Bridgeport
    Day 111
    Portland22h30
    Quad City
    Day 112
    Grand Rapids21h00
    Portland
    Day 115
    Syracuse21h00
    Portland
    Day 116
    Portland21h30
    Springfield
    Day 118
    Portland20h30
    Manitoba
    Day 119
    Farm Team 3221h00
    Portland
    Day 122
    Hersey21h00
    Portland
    Day 124
    Portland20h30
    Milwaukee
    Day 125
    Portland19h30
    Norfolk
    Day 126
    Manchester21h00
    Portland
    Day 129
    Hersey21h00
    Portland
    Day 130
    Portland21h30
    Hersey
    Day 133
    Portland22h00
    Peroria
    Day 134
    Manchester21h00
    Portland
    Day 137
    Portland22h00
    Manchester
    Day 139
    Milwaukee21h00
    Portland
    Day 142
    Peroria21h00
    Portland
    Day 144
    Springfield21h00
    Portland
    Day 147
    Springfield21h00
    Portland
    Day 148
    Portland21h30
    Hersey
    Day 151
    Peroria21h00
    Portland
    Day 153
    Portland22h30
    Houston
    Day 155
    Milwaukee21h00
    Portland
    Day 158
    Portland22h30
    Houston
    Roster
    Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
    Justin Kloos (R)0C/RW100.0056357964657269637061596560696542565923
    Anton Blidh0LW/RW100.0086358459757672585155535752656349565822925,000$/1yrs
    Jean-Sebastien Dea0C/RW100.0071357964676652617162586359676543565823650,000$/1yrs
    Griffen Molino0C100.0058397153677477535658575556696163565523925,000$/2yrs
    Calle Rosen (R)0D100.0053358364767352623060546355676443565923
    Joe Hicketts0D100.0071358956648052563060545755636244565721
    Scratches
    TEAM AVERAGE100.00663681606974625951595660566763475658
    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
    Anton Blidh LW/RW22925,000$925,000$
    Calle Rosen D230$0$
    Griffen Molino C23925,000$925,000$ 925,000$
    Jean-Sebastien Dea C/RW23650,000$650,000$
    Joe Hicketts D210$0$
    Justin Kloos C/RW230$0$

    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
    Hamilton1100000030321.000369013719715409212923631495360.00%20100.00%014129048.62%13628248.23%15128752.61%501346567159278136nan%20.0%100.0%120.0LUCKY
    Iowa3100200085361.000816240037197384092129233210832315533.33%14378.57%014129048.62%13628248.23%15128752.61%50134656715927813660.0%21.1%84.4%105.4FUN
    Grand Rapids2010010002-210.25000000371972940921292322157413500.00%70100.00%014129048.62%13628248.23%15128752.61%5013465671592781360.0%0.0%90.9%90.9Unlucky
    Lake Erie3210000032140.66736902371973540921292336111141614214.29%12283.33%014129048.62%13628248.23%15128752.61%501346567159278136100.0%8.6%94.4%103.0DULL
    Hershey1000000123-110.5002460037197174092129231047465240.00%2150.00%014129048.62%13628248.23%15128752.61%5013465671592781360.0%11.8%70.0%81.8FUN
    Manitoba1010000012-100.000123003719712409212923101863133.33%4175.00%014129048.62%13628248.23%15128752.61%5013465671592781360.0%8.3%80.0%88.3Unlucky
    Rockford Icehogs2020000003-300.000000003719720409212923189428300.00%11281.82%014129048.62%13628248.23%15128752.61%5013465671592781360.0%0.0%83.3%83.3Unlucky
    Albany1000001010121.000101013719712409212923195364500.00%80100.00%014129048.62%13628248.23%15128752.61%501346567159278136100.0%8.3%100.0%108.3DULL
    Quad City2010000113-210.25012300371972340921292322148814600.00%90100.00%014129048.62%13628248.23%15128752.61%50134656715927813625.0%4.3%86.4%90.7Unlucky
    Manchester1100000030321.0003690137197114092129231165164250.00%30100.00%014129048.62%13628248.23%15128752.61%501346567159278136100.0%27.3%100.0%127.3LUCKY
    Springfield2200000052341.0005712003719718409212923341136104125.00%8187.50%014129048.62%13628248.23%15128752.61%50134656715927813680.0%27.8%94.1%121.9LUCKY
    Worchester1010000035-200.0003690037197134092129231335997342.86%7442.86%014129048.62%13628248.23%15128752.61%5013465671592781360.0%23.1%61.5%84.6FUN
    Houston1010000023-100.000235003719713409212923124796100.00%7185.71%014129048.62%13628248.23%15128752.61%50134656715927813650.0%15.4%75.0%90.4FUN
    Peroria1000010001-110.50000000371971540921292384858500.00%50100.00%014129048.62%13628248.23%15128752.61%5013465671592781360.0%0.0%87.5%87.5Unlucky
    _Vs Division721020001312180.57113233601371977740921292390352424524729.17%31680.65%014129048.62%13628248.23%15128752.61%50134656715927813650.0%16.9%86.7%103.5FUN
    _Vs Conference1968022012628-2190.500264874033719722740921292321888719119671420.90%871483.91%014129048.62%13628248.23%15128752.61%50134656715927813646.2%11.5%87.2%98.6FUN
    _Since Last GM Reset22780221232311240.5453258900537197271409212923253100843138821923.17%991584.85%014129048.62%13628248.23%15128752.61%50134656715927813644.8%11.8%87.7%99.6FUN
    Total22780221232311240.5453258900537197271409212923253100843138821923.17%991584.85%014129048.62%13628248.23%15128752.61%50134656715927813644.8%11.8%87.7%99.6FUN

    Puck Time
    Offensive Zone 22
    Neutral Zone 12
    Defensive Zone 25
    Puck Time
    Offensive Zone Start 290
    Neutral Zone Start 287
    Defensive Zone Start 282
    Puck Time
    With Puck 29
    Without Puck 32
    Faceoffs
    Faceoffs Won 428
    Faceoffs Lost 431
    Team Average Shots after League Average Shots after
    1st Period 1.89.57
    2nd Period 6.020.31
    3rd Period 11.930.68
    Overtime 12.931.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.10.64
    2nd Period 0.51.65
    3rd Period 1.32.67
    Overtime 1.62.83
    Even Strenght Goal 13
    PP Goal 19
    PK Goal 0
    Empty Net Goal 0
    Home Away
    Win 64
    Lost 35
    Overtime Lost 22
    PP Attempt 82
    PP Goal 19
    PK Attempt 99
    PK Goal Against 15
    Home
    Shots For 12.3
    Shots Against 11.5
    Goals For 1.5
    Goals Against 1.4
    Hits 6.3
    Shots Blocked 4.5
    Pim 38.3
    Schedule
    DateMatchup Result Detail
    2018-09-26PortlandPortland@PortlandSpringfieldPortland3,Springfield1RECAP
    2018-09-27PortlandSpringfield@PortlandPortlandSpringfield1,Portland2RECAP
    2018-09-29PortlandPortland@PortlandHersheyPortland2,Hershey3 (SO)RECAP
    2018-10-01PortlandRockford Icehogs@PortlandPortlandRockford Icehogs2,Portland0RECAP
    2018-10-03PortlandPortland@PortlandQuad CityPortland0,Quad City1RECAP
    2018-10-05PortlandIowa@PortlandPortlandIowa1,Portland2 (OT)RECAP
    2018-10-06PortlandLake Erie@PortlandPortlandLake Erie0,Portland1RECAP
    2018-10-08PortlandPortland@PortlandLake EriePortland2,Lake Erie0RECAP
    2018-10-11PortlandManitoba@PortlandPortlandManitoba2,Portland1RECAP
    2018-10-13PortlandPortland@PortlandGrand RapidsPortland0,Grand Rapids1RECAP
    2018-10-14PortlandPortland@PortlandWorchesterPortland3,Worchester5RECAP
    2018-10-17PortlandHouston@PortlandPortlandHouston3,Portland2RECAP
    2018-10-19PortlandGrand Rapids@PortlandPortlandGrand Rapids1,Portland0 (OT)RECAP
    2018-10-21PortlandPortland@PortlandManchesterPortland3,Manchester0RECAP
    2018-10-22PortlandPortland@PortlandPeroriaPortland0,Peroria1 (OT)RECAP
    2018-10-25PortlandIowa@PortlandPortlandIowa1,Portland2 (OT)RECAP
    2018-10-26PortlandPortland@PortlandIowaPortland4,Iowa3RECAP
    2018-10-29PortlandQuad City@PortlandPortlandQuad City2,Portland1 (SO)RECAP
    2018-10-31PortlandPortland@PortlandLake EriePortland0,Lake Erie2RECAP
    2018-11-02PortlandHamilton@PortlandPortlandHamilton0,Portland3RECAP
    2018-11-04PortlandPortland@PortlandRockford IcehogsPortland0,Rockford Icehogs1RECAP
    2018-11-05PortlandAlbany@PortlandPortlandAlbany0,Portland1 (SO)RECAP
    2018-11-07PortlandPortland@PortlandIowa
    2018-11-09PortlandPortland@PortlandHamilton
    2018-11-11PortlandHershey@PortlandPortland
    2018-11-13PortlandWorchester@PortlandPortland
    2018-11-15PortlandHouston@PortlandPortland
    2018-11-17PortlandPortland@PortlandRochester
    2018-11-19PortlandPortland@PortlandChicago
    2018-11-20PortlandPortland@PortlandProvidence
    2018-11-22PortlandRockford Icehogs@PortlandPortland
    2018-11-24PortlandLowell@PortlandPortland
    2018-11-28PortlandPortland@PortlandSpringfield
    2018-11-29PortlandQuad City@PortlandPortland
    2018-12-02PortlandManitoba@PortlandPortland
    2018-12-04PortlandPortland@PortlandToronto
    2018-12-05PortlandPortland@PortlandManitoba
    2018-12-07PortlandPortland@PortlandSyracuse
    2018-12-08PortlandLake Erie@PortlandPortland
    2018-12-10PortlandHouston@PortlandPortland
    2018-12-12PortlandPortland@PortlandRockford Icehogs
    2018-12-14PortlandSyracuse@PortlandPortland
    2018-12-16PortlandPortland@PortlandGrand Rapids
    2018-12-18PortlandIowa@PortlandPortland
    2018-12-21PortlandHartford@PortlandPortland
    2018-12-22PortlandPortland@PortlandWilkes Barre
    2018-12-24PortlandPortland@PortlandWorchester
    2018-12-26PortlandPortland@PortlandHershey
    2018-12-27PortlandRochester@PortlandPortland
    2018-12-29PortlandPortland@PortlandPhiladelphie
    2018-12-31PortlandHamilton@PortlandPortland
    2019-01-01PortlandPortland@PortlandMilwaukee
    2019-01-03PortlandPortland@PortlandSyracuse
    2019-01-04PortlandWorchester@PortlandPortland
    2019-01-07PortlandBinghamton@PortlandPortland
    2019-01-09PortlandPortland@PortlandLake Erie
    2019-01-10PortlandBinghamton@PortlandPortland
    2019-01-13PortlandPortland@PortlandBridgeport
    2019-01-14PortlandPortland@PortlandQuad City
    2019-01-15PortlandGrand Rapids@PortlandPortland
    2019-01-18PortlandSyracuse@PortlandPortland
    2019-01-19PortlandPortland@PortlandSpringfield
    2019-01-21PortlandPortland@PortlandManitoba
    2019-01-22PortlandFarm Team 32@PortlandPortland
    2019-01-25PortlandHersey@PortlandPortland
    2019-01-27PortlandPortland@PortlandMilwaukee
    2019-01-28PortlandPortland@PortlandNorfolk
    2019-01-29PortlandManchester@PortlandPortland
    2019-02-01PortlandHersey@PortlandPortland
    2019-02-02PortlandPortland@PortlandHersey
    2019-02-05PortlandPortland@PortlandPeroria
    2019-02-06PortlandManchester@PortlandPortland
    2019-02-09PortlandPortland@PortlandManchester
    2019-02-11PortlandMilwaukee@PortlandPortland
    2019-02-14PortlandPeroria@PortlandPortland
    2019-02-16PortlandSpringfield@PortlandPortland
    2019-02-19PortlandSpringfield@PortlandPortland
    2019-02-20PortlandPortland@PortlandHersey
    2019-02-23PortlandPeroria@PortlandPortland
    2019-02-25PortlandPortland@PortlandHouston
    2019-02-27PortlandMilwaukee@PortlandPortland
    2019-03-02PortlandPortland@PortlandHouston

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    2,500,000$ 0$ 0$ 75,000,000$

    ArenaAbout us
    Name
    CityPortland
    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
    2,500,000$ 2,500,000$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    660,366$ 0$ 660,366$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 135 15,723$ 1,839,591$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    1,839,591$ 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

    Portland10-8-4, 24pts01Final
    Rockford Icehogs11-8-4, 26pts

    Albany10-4-7, 27pts01Final
    Portland10-8-4, 24pts

    Albany10-4-7, 27ptsTue, Nov 06
    Portland10-8-4, 24pts

    Springfield10-10-2, 22ptsFri, Sep 28
    Portland10-8-4, 24pts

    Portland10-8-4, 24ptsSun, Sep 30
    Hershey12-7-1, 25pts

    TRANSACTIONS



     
    NEXT HOME GAME

    Monday, Nov. 12
    vs
    PRESENTED BY
    LEADERBOARD
    Expanded Player Leaderboard
    Team Information
    Portland
    Portland
    Head Coach
    General Manager
    CityPortland
    Arena