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    Toronto



    W:26 | L:19 | OTL:6 | PTS:58

    Goals For
    69
    Goals Against
    68
    Power Play
    21.9%
    Penalty Kill
    81.1%
    Team Chemistry
    53
    Team Overall
    60
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    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/RW100.0074478265807561645961666465656477666222894,000$/1yrs
    Alexander Nylander0LW/RW100.00663584657680716455626361646063896661191,775,000$/2yrs
    Sammy Blais0LW100.0066358367817655665066645965636249666121700,833$/2yrs
    Tage Thompson0C/RW100.0066358166907854655265635864616180666119642,137$/3yrs
    Casey Mittelstadt (R)0C100.00543584587881535864625755586060896657181,491,667$/3yrs
    Daniel Sprong0RW100.0063358459708154595058595859616274665720925,000$/3yrs
    Owen Tippett (R)0RW100.00553584577777535750565757575959886656181,757,500$/3yrs
    Nathan Beaulieu0D100.00645380648078726330666156627166796661242,400,000$/2yrs
    Sebastien Aho (R)0D100.0060358864647861643066625763636257665921925,000$/3yrs
    Scratches
    TEAM AVERAGE100.00633883637778596249626158626362766659
    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 Martin100.00635696856262636262626168726763640
    Scratches
    TEAM AVERAGE100.0063569685626263626262616872676364
    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
    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
    Providence2100000143130.7504812001023281331129181286731438757342.86%6183.33%030662848.73%34369749.21%37168953.85%1191846131935361229733.3%12.9%78.6%91.5FUN
    Portland1000010001-110.50000000102328131412918128673174141200.00%30100.00%030662848.73%34369749.21%37168953.85%119184613193536122970.0%0.0%94.1%94.1DULL
    Hamilton2100100030341.0003690210232813211291812867323628202150.00%90100.00%030662848.73%34369749.21%37168953.85%11918461319353612297100.0%14.3%100.0%114.3LUCKY
    Wilkes Barre2010001033020.50034700102328132712918128673319139139222.22%7357.14%030662848.73%34369749.21%37168953.85%11918461319353612297100.0%11.1%90.3%101.4FUN
    Milwaukee1010000001-100.00000000102328131612918128673135608500.00%5180.00%030662848.73%34369749.21%37168953.85%11918461319353612297nan%0.0%92.3%92.3DULL
    Hartford3110000134-130.5003580010232813331291812867331161471316318.75%8187.50%030662848.73%34369749.21%37168953.85%119184613193536122970.0%9.1%87.1%96.2FUN
    Chicago2010001023-120.5002240110232813301291812867327734179111.11%12375.00%030662848.73%34369749.21%37168953.85%11918461319353612297100.0%6.7%88.9%95.6Unlucky
    Lake Erie2200000071641.0007142101102328133012918128673146109920735.00%7185.71%030662848.73%34369749.21%37168953.85%11918461319353612297nan%23.3%92.9%116.2LUCKY
    Hershey1100000021121.00024600102328131612918128673527875120.00%4175.00%030662848.73%34369749.21%37168953.85%11918461319353612297100.0%12.5%80.0%92.5FUN
    Manitoba2200000020241.0002350210232813171291812867327102857228.57%90100.00%030662848.73%34369749.21%37168953.85%11918461319353612297nan%11.8%100.0%111.8LUCKY
    Lowell2110000022020.500246011023281324129181286732516132109111.11%60100.00%030662848.73%34369749.21%37168953.85%1191846131935361229733.3%8.3%92.0%100.3DULL
    Rockford Icehogs1010000034-100.0003690010232813111291812867314310443266.67%7271.43%030662848.73%34369749.21%37168953.85%1191846131935361229733.3%27.3%71.4%98.7FUN
    Albany43100000127560.7501222340010232813541291812867359182021420840.00%21576.19%030662848.73%34369749.21%37168953.85%1191846131935361229766.7%22.2%88.1%110.4FUN
    Quad City1000001021121.000224001023281313129181286731241203133.33%6183.33%030662848.73%34369749.21%37168953.85%11918461319353612297100.0%15.4%91.7%107.1LUCKY
    Rochester3120000035-220.3333690110232813431291812867343211431611327.27%14471.43%030662848.73%34369749.21%37168953.85%119184613193536122970.0%7.0%88.4%95.3Unlucky
    Philadelphie3120000012-120.333123011023281329129181286732812851710110.00%100100.00%030662848.73%34369749.21%37168953.85%119184613193536122970.0%3.4%92.9%96.3DULL
    Norfolk3110001055040.6675813001023281334129181286733419375181417.14%20480.00%130662848.73%34369749.21%37168953.85%1191846131935361229780.0%14.7%85.3%100.0FUN
    Springfield1010000001-100.0000000010232813912918128673165141000.00%20100.00%030662848.73%34369749.21%37168953.85%119184613193536122970.0%0.0%93.8%93.8DULL
    Binghamton2010000113-210.2501230010232813181291812867325126114500.00%8187.50%030662848.73%34369749.21%37168953.85%1191846131935361229733.3%5.6%88.0%93.6Unlucky
    Worchester1000001021121.00022400102328131212918128673931396116.67%4175.00%030662848.73%34369749.21%37168953.85%11918461319353612297100.0%16.7%88.9%105.6FUN
    Bridgeport4010111055050.6255813001023281361129181286737118247247114.29%21385.71%030662848.73%34369749.21%37168953.85%1191846131935361229766.7%8.2%93.0%101.2DULL
    Rochester4210010046-250.6254812001023281339129181286735514622116425.00%17476.47%030662848.73%34369749.21%37168953.85%119184613193536122970.0%10.3%89.1%99.3FUN
    Houston1010000002-200.0000001010232813512918128673135265300.00%8187.50%030662848.73%34369749.21%37168953.85%119184613193536122970.0%0.0%84.6%84.6Unlucky
    Farm Team 323120000037-420.33336900102328133812918128673427131221218.33%13653.85%030662848.73%34369749.21%37168953.85%1191846131935361229766.7%7.9%83.3%91.2Unlucky
    _Vs Division19330100228244100.26328497702102328132441291812867325091103098761722.37%771383.12%030662848.73%34369749.21%37168953.85%1191846131935361229750.0%11.5%90.4%101.9FUN
    _Vs Conference401415022435356-3450.563539514806102328134981291812867351318019512311523120.39%1763679.55%130662848.73%34369749.21%37168953.85%1191846131935361229752.4%10.6%89.1%99.7FUN
    _Since Last GM Reset5118190236369681580.5696912219119102328136251291812867364822523312732014421.89%2274381.06%130662848.73%34369749.21%37168953.85%1191846131935361229750.0%11.0%89.5%100.5FUN
    Total5118190236369681580.5696912219119102328136251291812867364822523312732014421.89%2274381.06%130662848.73%34369749.21%37168953.85%1191846131935361229750.0%11.0%89.5%100.5FUN

    Puck Time
    Offensive Zone 23
    Neutral Zone 12
    Defensive Zone 25
    Puck Time
    Offensive Zone Start 628
    Neutral Zone Start 689
    Defensive Zone Start 697
    Puck Time
    With Puck 29
    Without Puck 31
    Faceoffs
    Faceoffs Won 1020
    Faceoffs Lost 994
    Team Average Shots after League Average Shots after
    1st Period 2.59.57
    2nd Period 6.120.31
    3rd Period 11.730.68
    Overtime 13.131.4
    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 1.52.83
    Even Strenght Goal 23
    PP Goal 44
    PK Goal 1
    Empty Net Goal 1
    Home Away
    Win 1412
    Lost 910
    Overtime Lost 33
    PP Attempt 201
    PP Goal 44
    PK Attempt 227
    PK Goal Against 43
    Home
    Shots For 12.3
    Shots Against 12.7
    Goals For 1.4
    Goals Against 1.3
    Hits 5.4
    Shots Blocked 4.4
    Pim 45.7
    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@TorontoTorontoLake Erie0,Toronto4RECAP
    2018-11-10TorontoToronto@TorontoBinghamtonToronto1,Binghamton2 (SO)RECAP
    2018-11-12TorontoToronto@TorontoManitobaToronto1,Manitoba0RECAP
    2018-11-13TorontoRochester@TorontoTorontoRochester2,Toronto1RECAP
    2018-11-15TorontoAlbany@TorontoTorontoAlbany1,Toronto5RECAP
    2018-11-17TorontoToronto@TorontoAlbanyToronto2,Albany1RECAP
    2018-11-19TorontoBridgeport@TorontoTorontoBridgeport2,Toronto1 (OT)RECAP
    2018-11-20TorontoToronto@TorontoRockford IcehogsToronto3,Rockford Icehogs4RECAP
    2018-11-22TorontoAlbany@TorontoTorontoAlbany2,Toronto3RECAP
    2018-11-24TorontoToronto@TorontoManitobaToronto1,Manitoba0RECAP
    2018-11-26TorontoToronto@TorontoFarm Team 32Toronto1,Farm Team 322RECAP
    2018-11-28TorontoToronto@TorontoLake ErieToronto3,Lake Erie1RECAP
    2018-11-29TorontoPhiladelphie@TorontoTorontoPhiladelphie1,Toronto0RECAP
    2018-12-02TorontoToronto@TorontoHoustonToronto0,Houston2RECAP
    2018-12-04TorontoPortland@TorontoTorontoPortland1,Toronto0 (OT)RECAP
    2018-12-05TorontoToronto@TorontoWorchesterToronto2,Worchester1 (SO)RECAP
    2018-12-08TorontoPhiladelphie@TorontoTorontoPhiladelphie1,Toronto0RECAP
    2018-12-09TorontoHershey@TorontoTorontoHershey1,Toronto2RECAP
    2018-12-12TorontoToronto@TorontoLowellToronto1,Lowell2RECAP
    2018-12-13TorontoRochester@TorontoTorontoRochester1,Toronto0 (OT)RECAP
    2018-12-16TorontoToronto@TorontoQuad CityToronto2,Quad City1 (SO)RECAP
    2018-12-17TorontoToronto@TorontoChicagoToronto1,Chicago0 (SO)RECAP
    2018-12-19TorontoHamilton@TorontoTorontoHamilton0,Toronto1 (OT)RECAP
    2018-12-21TorontoToronto@TorontoAlbanyToronto2,Albany3RECAP
    2018-12-22TorontoSpringfield@TorontoTorontoSpringfield1,Toronto0RECAP
    2018-12-24TorontoToronto@TorontoBridgeportToronto2,Bridgeport1 (OT)RECAP
    2018-12-27TorontoChicago@TorontoTorontoChicago3,Toronto1RECAP
    2018-12-28TorontoToronto@TorontoNorfolkToronto0,Norfolk2RECAP
    2018-12-30TorontoNorfolk@TorontoTorontoNorfolk2,Toronto3RECAP
    2019-01-01TorontoNorfolk@TorontoTorontoNorfolk1,Toronto2 (SO)RECAP
    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
    15 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
    7,723,980$ 0$ 7,723,980$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 78 78,020$ 4,681,200$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    4,681,200$ 0$ 0$ 0$

    Sponsors
    TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
    Depth Chart RookieInjured Cold Streak Hot Streak
    Left WingCenterRight Wing

    Defense #1Defense #2Goalie

    Transactions



    Injuries
    Andrei Vasilevskiy is out for 1 days because of a Exhaustion.

    GAME CENTER

    Norfolk31-17-4, 66pts23Final
    Toronto26-19-6, 58pts

    Norfolk31-17-4, 66pts12Final
    Toronto26-19-6, 58pts

    Norfolk31-17-4, 66ptsWed, Jan 02
    Toronto26-19-6, 58pts

    Toronto26-19-6, 58ptsSun, Sep 30
    Bridgeport28-10-13, 69pts

    Wilkes Barre22-21-5, 49ptsMon, Oct 01
    Toronto26-19-6, 58pts

    TRANSACTIONS



     
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