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    Toronto



    W:11 | L:8 | OTL:2 | PTS:24

    Goals For
    24
    Goals Against
    27
    Power Play
    19.3%
    Penalty Kill
    77.0%
    Team Chemistry
    52
    Team Overall
    60
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    Day 43
    Lake Erie19h30
    Toronto
    Day 46
    Toronto19h30
    Binghamton
    Day 48
    Toronto20h30
    Manitoba
    Day 49
    Rochester19h30
    Toronto
    Day 51
    Albany19h30
    Toronto
    Day 53
    Toronto19h30
    Albany
    Day 55
    Bridgeport19h30
    Toronto
    Day 56
    Toronto20h30
    Rockford Icehogs
    Day 58
    Albany19h30
    Toronto
    Day 60
    Toronto20h30
    Manitoba
    Day 62
    Toronto19h30
    Farm Team 32
    Day 64
    Toronto22h30
    Lake Erie
    Day 65
    Philadelphie19h30
    Toronto
    Day 68
    Toronto22h30
    Houston
    Day 70
    Portland19h30
    Toronto
    Day 71
    Toronto20h30
    Worchester
    Day 74
    Philadelphie19h30
    Toronto
    Day 75
    Hershey19h30
    Toronto
    Day 78
    Toronto19h30
    Lowell
    Day 79
    Rochester19h30
    Toronto
    Day 82
    Toronto22h30
    Quad City
    Day 83
    Toronto19h30
    Chicago
    Day 85
    Hamilton19h30
    Toronto
    Day 87
    Toronto19h30
    Albany
    Day 88
    Springfield19h30
    Toronto
    Day 90
    Toronto19h30
    Bridgeport
    Day 93
    Chicago19h30
    Toronto
    Day 94
    Toronto19h30
    Norfolk
    Day 96
    Norfolk19h30
    Toronto
    Day 98
    Norfolk19h30
    Toronto
    Day 100
    Toronto19h30
    Lowell
    Day 102
    Hershey19h30
    Toronto
    Day 104
    Toronto22h00
    Peroria
    Day 106
    Chicago19h30
    Toronto
    Day 108
    Toronto20h30
    Hershey
    Day 110
    Toronto19h30
    Chicago
    Day 111
    Hamilton19h30
    Toronto
    Day 113
    Toronto19h30
    Philadelphie
    Day 115
    Lake Erie19h30
    Toronto
    Day 117
    Hersey19h30
    Toronto
    Day 118
    Toronto22h00
    Manchester
    Day 119
    Toronto19h30
    Philadelphie
    Day 122
    Lowell19h30
    Toronto
    Day 124
    Toronto19h30
    Hartford
    Day 125
    Iowa19h30
    Toronto
    Day 127
    Toronto19h30
    Wilkes Barre
    Day 129
    Providence19h30
    Toronto
    Day 132
    Wilkes Barre19h30
    Toronto
    Day 134
    Toronto19h30
    Rochester
    Day 136
    Toronto20h30
    Hershey
    Day 137
    Grand Rapids19h30
    Toronto
    Day 140
    Syracuse19h30
    Toronto
    Day 141
    Toronto19h30
    Providence
    Day 142
    Toronto19h30
    Hamilton
    Day 144
    Binghamton19h30
    Toronto
    Day 147
    Farm Team 3219h30
    Toronto
    Day 148
    Toronto19h30
    Hamilton
    Day 151
    Binghamton19h30
    Toronto
    Day 152
    Toronto19h30
    Norfolk
    Day 156
    Wilkes Barre19h30
    Toronto
    Day 157
    Toronto19h30
    Rochester
    Roster
    Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
    Adam Erne0LW/RW100.0074478265807561645961666465656477586222894,000$/1yrs
    Alexander Nylander0LW/RW100.00663584657680716455626361646063895861191,775,000$/2yrs
    Sammy Blais0LW100.0066358367817655665066645965636249586121700,833$/2yrs
    Tage Thompson0C/RW100.0066358166907854655265635864616180586119642,137$/3yrs
    Casey Mittelstadt (R)0C100.00543584587881535864625755586060895857181,491,667$/3yrs
    Daniel Sprong0RW100.0063358459708154595058595859616274585720925,000$/3yrs
    Owen Tippett (R)0RW100.00553584577777535750565757575959885856181,757,500$/3yrs
    Nathan Beaulieu0D100.00645380648078726330666156627166795861242,400,000$/2yrs
    Sebastien Aho (R)0D100.0060358864647861643066625763636257585921925,000$/3yrs
    Scratches
    TEAM AVERAGE100.00633883637778596249626158626362765859
    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
    1Spencer Martin100.00635696856262636262626168726755640
    Scratches
    TEAM AVERAGE100.0063569685626263626262616872675564
    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
    Adam Erne LW/RW22894,000$894,000$
    Alexander Nylander LW/RW191,775,000$1,775,000$ 1,775,000$
    Casey Mittelstadt C181,491,667$1,491,667$ 1,491,667$ 1,491,667$
    Daniel Sprong RW20925,000$925,000$ 925,000$ 925,000$
    Nathan Beaulieu D242,400,000$2,400,000$ 2,400,000$
    Owen Tippett RW181,757,500$1,757,500$ 1,757,500$ 1,757,500$
    Sammy Blais LW21700,833$700,833$ 700,833$
    Sebastien Aho D21925,000$925,000$ 925,000$ 925,000$
    Spencer Martin G22894,000$894,000$
    Tage Thompson C/RW19642,137$642,137$ 642,137$ 642,137$

    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
    Providence2100000143130.750481200111104313768133311438757342.86%6183.33%013026050.00%14227851.08%15428853.47%50035151514926312933.3%12.9%78.6%91.5FUN
    Hamilton1100000020221.0002460111110473768133311419102150.00%20100.00%013026050.00%14227851.08%15428853.47%500351515149263129100.0%28.6%100.0%128.6LUCKY
    Wilkes Barre2010001033020.5003470011110427376813331319139139222.22%7357.14%013026050.00%14227851.08%15428853.47%500351515149263129100.0%11.1%90.3%101.4FUN
    Milwaukee1010000001-100.0000000011110416376813331135608500.00%5180.00%013026050.00%14227851.08%15428853.47%500351515149263129nan%0.0%92.3%92.3DULL
    Hartford3110000134-130.500358001111043337681333131161471316318.75%8187.50%013026050.00%14227851.08%15428853.47%5003515151492631290.0%9.1%87.1%96.2FUN
    Lowell1100000010121.0001230111110411376813331126764500.00%30100.00%013026050.00%14227851.08%15428853.47%500351515149263129100.0%9.1%100.0%109.1LUCKY
    Rochester2110000023-120.500246011111042437681333128775138225.00%10280.00%013026050.00%14227851.08%15428853.47%5003515151492631290.0%8.3%89.3%97.6Unlucky
    Philadelphie1100000010121.0001230111110412376813331643963133.33%20100.00%013026050.00%14227851.08%15428853.47%500351515149263129nan%8.3%100.0%108.3DULL
    Binghamton1010000001-100.000000001111049376813331124428200.00%10100.00%013026050.00%14227851.08%15428853.47%5003515151492631290.0%0.0%91.7%91.7DULL
    Bridgeport2010001022020.50022400111104293768133313887213300.00%11281.82%013026050.00%14227851.08%15428853.47%500351515149263129100.0%6.9%94.7%101.6DULL
    Rochester3210000045-140.667481200111104273768133313911451615426.67%10370.00%013026050.00%14227851.08%15428853.47%5003515151492631290.0%14.8%87.2%102.0FUN
    Farm Team 322110000025-320.50024600111104233768133312765815800.00%9455.56%013026050.00%14227851.08%15428853.47%50035151514926312966.7%8.7%81.5%90.2Unlucky
    _Vs Division93200001109170.38910152502111104112376813331118434734936616.67%31680.65%013026050.00%14227851.08%15428853.47%50035151514926312957.1%8.9%92.4%101.3Unlucky
    _Vs Conference2097000222426-2240.6002443670411110423337681333125275789116781620.51%691676.81%013026050.00%14227851.08%15428853.47%50035151514926312944.4%10.3%89.7%100.0FUN
    _Since Last GM Reset2198000222427-3240.5712443670411110424937681333126580849124831619.28%741777.03%013026050.00%14227851.08%15428853.47%50035151514926312944.4%9.6%89.8%99.4FUN
    Total2198000222427-3240.5712443670411110424937681333126580849124831619.28%741777.03%013026050.00%14227851.08%15428853.47%50035151514926312944.4%9.6%89.8%99.4FUN

    Puck Time
    Offensive Zone 23
    Neutral Zone 12
    Defensive Zone 24
    Puck Time
    Offensive Zone Start 260
    Neutral Zone Start 288
    Defensive Zone Start 278
    Puck Time
    With Puck 30
    Without Puck 30
    Faceoffs
    Faceoffs Won 426
    Faceoffs Lost 400
    Team Average Shots after League Average Shots after
    1st Period 1.89.57
    2nd Period 5.020.31
    3rd Period 11.330.68
    Overtime 12.831.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.00.64
    2nd Period 0.61.65
    3rd Period 1.02.67
    Overtime 1.22.83
    Even Strenght Goal 8
    PP Goal 16
    PK Goal 0
    Empty Net Goal 0
    Home Away
    Win 74
    Lost 44
    Overtime Lost 02
    PP Attempt 83
    PP Goal 16
    PK Attempt 74
    PK Goal Against 17
    Home
    Shots For 11.9
    Shots Against 12.6
    Goals For 1.1
    Goals Against 1.3
    Hits 5.9
    Shots Blocked 3.8
    Pim 40.4
    Schedule
    DateMatchup Result Detail
    2018-09-26TorontoRochester@TorontoTorontoRochester0,Toronto2RECAP
    2018-09-29TorontoToronto@TorontoBridgeportToronto2,Bridgeport1 (SO)RECAP
    2018-09-30TorontoWilkes Barre@TorontoTorontoWilkes Barre2,Toronto3 (SO)RECAP
    2018-10-02TorontoToronto@TorontoProvidenceToronto1,Providence2 (SO)RECAP
    2018-10-04TorontoToronto@TorontoPhiladelphieToronto1,Philadelphie0RECAP
    2018-10-05TorontoHamilton@TorontoTorontoHamilton0,Toronto2RECAP
    2018-10-07TorontoRochester@TorontoTorontoRochester1,Toronto2RECAP
    2018-10-09TorontoProvidence@TorontoTorontoProvidence1,Toronto3RECAP
    2018-10-11TorontoToronto@TorontoWilkes BarreToronto0,Wilkes Barre1RECAP
    2018-10-14TorontoHartford@TorontoTorontoHartford1,Toronto2RECAP
    2018-10-16TorontoToronto@TorontoHartfordToronto0,Hartford1 (SO)RECAP
    2018-10-18TorontoToronto@TorontoFarm Team 32Toronto2,Farm Team 321RECAP
    2018-10-19TorontoRochester@TorontoTorontoRochester3,Toronto0RECAP
    2018-10-23TorontoLowell@TorontoTorontoLowell0,Toronto1RECAP
    2018-10-25TorontoToronto@TorontoBinghamtonToronto0,Binghamton1RECAP
    2018-10-26TorontoFarm Team 32@TorontoTorontoFarm Team 324,Toronto0RECAP
    2018-10-28TorontoToronto@TorontoMilwaukeeToronto0,Milwaukee1RECAP
    2018-10-31TorontoBridgeport@TorontoTorontoBridgeport1,Toronto0RECAP
    2018-11-02TorontoToronto@TorontoRochesterToronto0,Rochester3RECAP
    2018-11-03TorontoHartford@TorontoTorontoHartford2,Toronto1RECAP
    2018-11-05TorontoToronto@TorontoRochesterToronto2,Rochester1RECAP
    2018-11-07TorontoLake Erie@TorontoToronto
    2018-11-10TorontoToronto@TorontoBinghamton
    2018-11-12TorontoToronto@TorontoManitoba
    2018-11-13TorontoRochester@TorontoToronto
    2018-11-15TorontoAlbany@TorontoToronto
    2018-11-17TorontoToronto@TorontoAlbany
    2018-11-19TorontoBridgeport@TorontoToronto
    2018-11-20TorontoToronto@TorontoRockford Icehogs
    2018-11-22TorontoAlbany@TorontoToronto
    2018-11-24TorontoToronto@TorontoManitoba
    2018-11-26TorontoToronto@TorontoFarm Team 32
    2018-11-28TorontoToronto@TorontoLake Erie
    2018-11-29TorontoPhiladelphie@TorontoToronto
    2018-12-02TorontoToronto@TorontoHouston
    2018-12-04TorontoPortland@TorontoToronto
    2018-12-05TorontoToronto@TorontoWorchester
    2018-12-08TorontoPhiladelphie@TorontoToronto
    2018-12-09TorontoHershey@TorontoToronto
    2018-12-12TorontoToronto@TorontoLowell
    2018-12-13TorontoRochester@TorontoToronto
    2018-12-16TorontoToronto@TorontoQuad City
    2018-12-17TorontoToronto@TorontoChicago
    2018-12-19TorontoHamilton@TorontoToronto
    2018-12-21TorontoToronto@TorontoAlbany
    2018-12-22TorontoSpringfield@TorontoToronto
    2018-12-24TorontoToronto@TorontoBridgeport
    2018-12-27TorontoChicago@TorontoToronto
    2018-12-28TorontoToronto@TorontoNorfolk
    2018-12-30TorontoNorfolk@TorontoToronto
    2019-01-01TorontoNorfolk@TorontoToronto
    2019-01-03TorontoToronto@TorontoLowell
    2019-01-05TorontoHershey@TorontoToronto
    2019-01-07TorontoToronto@TorontoPeroria
    2019-01-09TorontoChicago@TorontoToronto
    2019-01-11TorontoToronto@TorontoHershey
    2019-01-13TorontoToronto@TorontoChicago
    2019-01-14TorontoHamilton@TorontoToronto
    2019-01-16TorontoToronto@TorontoPhiladelphie
    2019-01-18TorontoLake Erie@TorontoToronto
    2019-01-20TorontoHersey@TorontoToronto
    2019-01-21TorontoToronto@TorontoManchester
    2019-01-22TorontoToronto@TorontoPhiladelphie
    2019-01-25TorontoLowell@TorontoToronto
    2019-01-27TorontoToronto@TorontoHartford
    2019-01-28TorontoIowa@TorontoToronto
    2019-01-30TorontoToronto@TorontoWilkes Barre
    2019-02-01TorontoProvidence@TorontoToronto
    2019-02-04TorontoWilkes Barre@TorontoToronto
    2019-02-06TorontoToronto@TorontoRochester
    2019-02-08TorontoToronto@TorontoHershey
    2019-02-09TorontoGrand Rapids@TorontoToronto
    2019-02-12TorontoSyracuse@TorontoToronto
    2019-02-13TorontoToronto@TorontoProvidence
    2019-02-14TorontoToronto@TorontoHamilton
    2019-02-16TorontoBinghamton@TorontoToronto
    2019-02-19TorontoFarm Team 32@TorontoToronto
    2019-02-20TorontoToronto@TorontoHamilton
    2019-02-23TorontoBinghamton@TorontoToronto
    2019-02-24TorontoToronto@TorontoNorfolk
    2019-02-28TorontoWilkes Barre@TorontoToronto
    2019-03-01TorontoToronto@TorontoRochester

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    12,405,137$ 0$ 0$ 75,000,000$

    ArenaAbout us
    Name
    CityToronto
    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
    12,405,137$ 12,405,137$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    3,276,840$ 0$ 3,276,840$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 135 78,020$ 9,128,340$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    9,128,340$ 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

    Hartford14-7-1, 29pts21Final
    Toronto11-8-2, 24pts

    Toronto11-8-2, 24pts21Final
    Rochester8-10-4, 20pts

    Toronto11-8-2, 24ptsTue, Nov 06
    Rochester8-10-4, 20pts

    Toronto11-8-2, 24ptsSun, Sep 30
    Bridgeport12-4-5, 29pts

    Wilkes Barre9-9-4, 22ptsMon, Oct 01
    Toronto11-8-2, 24pts

    TRANSACTIONS



     
    NEXT HOME GAME

    Thursday, Nov. 08
    vs
    PRESENTED BY
    LEADERBOARD
    Expanded Player Leaderboard
    Team Information
    Toronto
    Toronto
    Head Coach
    General Manager
    CityToronto
    Arena