lhs1quebec.com THE OFFICIAL SITE OF THE Toronto
TorontoTorontoToronto Maple LeafsToronto
  • Scores
  • Schedule
  • Standings
  • Power Ranking
  • Forum
  • Toronto


    Toronto



    W:42 | L:29 | OTL:11 | PTS:95

    Goals For
    117
    Goals Against
    112
    Power Play
    21.2%
    Penalty Kill
    80.3%
    Team Chemistry
    53
    Team Overall
    60
    Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.
    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/RW100.0074478265807561645961666465656477746222894,000$/1yrs
    Alexander Nylander0LW/RW100.00663584657680716455626361646063897461191,775,000$/2yrs
    Sammy Blais0LW100.0066358367817655665066645965636249746121700,833$/2yrs
    Tage Thompson0C/RW100.0066358166907854655265635864616180746119642,137$/3yrs
    Casey Mittelstadt (R)0C100.00543584587881535864625755586060897457181,491,667$/3yrs
    Daniel Sprong0RW100.0063358459708154595058595859616274745720925,000$/3yrs
    Owen Tippett (R)0RW100.00553584577777535750565757575959887456181,757,500$/3yrs
    Nathan Beaulieu0D100.00645380648078726330666156627166797461242,400,000$/2yrs
    Sebastien Aho (R)0D100.0060358864647861643066625763636257745921925,000$/3yrs
    Scratches
    TEAM AVERAGE100.00633883637778596249626158626362767459
    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 Martin100.00635696856262636262626168726770640
    Scratches
    TEAM AVERAGE100.0063569685626263626262616872677064
    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
    Providence4110100176150.62571421001741481659199316452933891571818527.78%11281.82%0486102547.41%556109550.78%592110953.38%19691415206256198048233.3%11.9%84.2%96.1FUN
    Portland1000010001-110.50000000174148161419931645293174141200.00%30100.00%0486102547.41%556109550.78%592110953.38%1969141520625619804820.0%0.0%94.1%94.1DULL
    Hamilton5300100171690.900714210417414816621993164529358171083115426.67%190100.00%0486102547.41%556109550.78%592110953.38%19691415206256198048275.0%11.3%98.3%109.6LUCKY
    Iowa1100000030321.00036901174148161319931645293202113500.00%30100.00%0486102547.41%556109550.78%592110953.38%196914152062561980482100.0%23.1%100.0%123.1LUCKY
    Wilkes Barre5120001178-150.500711180017414816691993164529364252483024416.67%19668.42%0486102547.41%556109550.78%592110953.38%19691415206256198048260.0%10.1%87.5%97.6FUN
    Milwaukee1010000001-100.00000000174148161619931645293135608500.00%5180.00%0486102547.41%556109550.78%592110953.38%196914152062561980482nan%0.0%92.3%92.3DULL
    Hartford4110000246-240.50047110017414816471993164529350212031321419.05%11190.91%0486102547.41%556109550.78%592110953.38%1969141520625619804820.0%8.5%88.0%96.5Unlucky
    Grand Rapids1010000012-100.000123001741481617199316452931271224125.00%6266.67%0486102547.41%556109550.78%592110953.38%196914152062561980482nan%5.9%83.3%89.2Unlucky
    Chicago4120001046-240.500461012174148165119931645293469972719210.53%21576.19%0486102547.41%556109550.78%592110953.38%19691415206256198048266.7%7.8%87.0%94.8Unlucky
    Lake Erie3300000091861.000918270217414816401993164529326121621924729.17%11190.91%0486102547.41%556109550.78%592110953.38%196914152062561980482100.0%22.5%96.2%118.7LUCKY
    Hershey4400000093681.000916250117414816521993164529343132221722627.27%21385.71%0486102547.41%556109550.78%592110953.38%196914152062561980482100.0%17.3%93.0%110.3LUCKY
    Manitoba2200000020241.0002350217414816171993164529327102857228.57%90100.00%0486102547.41%556109550.78%592110953.38%196914152062561980482nan%11.8%100.0%111.8LUCKY
    Hersey1100000032121.0003690017414816919931645293135945360.00%20100.00%0486102547.41%556109550.78%592110953.38%1969141520625619804820.0%33.3%84.6%117.9FUN
    Lowell4120000157-230.375510150117414816491993164529349232361914321.43%13469.23%0486102547.41%556109550.78%592110953.38%19691415206256198048240.0%10.2%85.7%95.9FUN
    Rockford Icehogs1010000034-100.0003690017414816111993164529314310443266.67%7271.43%0486102547.41%556109550.78%592110953.38%19691415206256198048233.3%27.3%71.4%98.7FUN
    Albany43100000127560.7501222340017414816541993164529359182021420840.00%21576.19%0486102547.41%556109550.78%592110953.38%19691415206256198048266.7%22.2%88.1%110.4FUN
    Quad City1000001021121.000224001741481613199316452931241203133.33%6183.33%0486102547.41%556109550.78%592110953.38%196914152062561980482100.0%15.4%91.7%107.1LUCKY
    Rochester5220010057-250.500510150117414816721993164529364311782722418.18%24579.17%0486102547.41%556109550.78%592110953.38%19691415206256198048233.3%6.9%89.1%96.0Unlucky
    Manchester1010000012-100.000123001741481610199316452931406937114.29%20100.00%0486102547.41%556109550.78%592110953.38%1969141520625619804820.0%10.0%85.7%95.7FUN
    Philadelphie5130001046-240.40046100117414816501993164529364203192715213.33%22386.36%0486102547.41%556109550.78%592110953.38%19691415206256198048240.0%8.0%90.6%98.6Unlucky
    Norfolk4120001056-140.5005813001741481644199316452934622477231715.88%26580.77%1486102547.41%556109550.78%592110953.38%19691415206256198048280.0%11.4%87.0%98.3FUN
    Springfield1010000001-100.0000000017414816919931645293165141000.00%20100.00%0486102547.41%556109550.78%592110953.38%1969141520625619804820.0%0.0%93.8%93.8DULL
    Binghamton41200001610-430.375612180017414816381993164529349192042613430.77%17758.82%0486102547.41%556109550.78%592110953.38%19691415206256198048240.0%15.8%79.6%95.4FUN
    Worchester1000001021121.00022400174148161219931645293931396116.67%4175.00%0486102547.41%556109550.78%592110953.38%196914152062561980482100.0%16.7%88.9%105.6FUN
    Bridgeport4010111055050.6255813001741481661199316452937118247247114.29%21385.71%0486102547.41%556109550.78%592110953.38%19691415206256198048266.7%8.2%93.0%101.2DULL
    Syracuse1100000020221.00024601174148161019931645293104157200.00%50100.00%0486102547.41%556109550.78%592110953.38%196914152062561980482100.0%20.0%100.0%120.0LUCKY
    Rochester4210010046-250.6254812001741481639199316452935514622116425.00%17476.47%0486102547.41%556109550.78%592110953.38%1969141520625619804820.0%10.3%89.1%99.3FUN
    Houston1010000002-200.0000001017414816519931645293135265300.00%8187.50%0486102547.41%556109550.78%592110953.38%1969141520625619804820.0%0.0%84.6%84.6Unlucky
    Peroria1010000013-200.00012300174148166199316452931741144125.00%3233.33%0486102547.41%556109550.78%592110953.38%1969141520625619804820.0%16.7%82.4%99.0FUN
    Farm Team 324120100047-340.5004812011741481651199316452935512142251616.25%16662.50%0486102547.41%556109550.78%592110953.38%19691415206256198048275.0%7.8%87.3%95.1Unlucky
    _Vs Division31750210348426220.355488413204174148163921993164529341014216921511252822.40%1332581.20%0486102547.41%556109550.78%592110953.38%19691415206256198048254.1%12.2%89.8%102.0FUN
    _Vs Conference642322043578891-3740.57888160248111174148167981993164529381127131023422595320.46%2795978.85%1486102547.41%556109550.78%592110953.38%19691415206256198048252.2%11.0%88.8%99.8FUN
    _Since Last GM Reset823129044771171125950.57911721333021717414816100019931645293104434436624173397221.24%3557080.28%1486102547.41%556109550.78%592110953.38%19691415206256198048251.7%11.7%89.3%101.0FUN
    Total823129044771171125950.57911721333021717414816100019931645293104434436624173397221.24%3557080.28%1486102547.41%556109550.78%592110953.38%19691415206256198048251.7%11.7%89.3%101.0FUN

    Puck Time
    Offensive Zone 24
    Neutral Zone 11
    Defensive Zone 25
    Puck Time
    Offensive Zone Start 1025
    Neutral Zone Start 1109
    Defensive Zone Start 1095
    Puck Time
    With Puck 29
    Without Puck 31
    Faceoffs
    Faceoffs Won 1634
    Faceoffs Lost 1595
    Team Average Shots after League Average Shots after
    1st Period 2.49.57
    2nd Period 6.320.31
    3rd Period 11.830.68
    Overtime 12.931.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.20.64
    2nd Period 0.71.65
    3rd Period 1.32.67
    Overtime 1.52.83
    Even Strenght Goal 42
    PP Goal 72
    PK Goal 1
    Empty Net Goal 2
    Home Away
    Win 2220
    Lost 1316
    Overtime Lost 65
    PP Attempt 339
    PP Goal 72
    PK Attempt 355
    PK Goal Against 70
    Home
    Shots For 12.2
    Shots Against 12.7
    Goals For 1.4
    Goals Against 1.4
    Hits 5.1
    Shots Blocked 4.2
    Pim 44.7
    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@TorontoLowellToronto1,Lowell2RECAP
    2019-01-05TorontoHershey@TorontoTorontoHershey1,Toronto3RECAP
    2019-01-07TorontoToronto@TorontoPeroriaToronto1,Peroria3RECAP
    2019-01-09TorontoChicago@TorontoTorontoChicago0,Toronto1RECAP
    2019-01-11TorontoToronto@TorontoHersheyToronto1,Hershey0RECAP
    2019-01-13TorontoToronto@TorontoChicagoToronto1,Chicago3RECAP
    2019-01-14TorontoHamilton@TorontoTorontoHamilton1,Toronto0 (SO)RECAP
    2019-01-16TorontoToronto@TorontoPhiladelphieToronto3,Philadelphie2 (SO)RECAP
    2019-01-18TorontoLake Erie@TorontoTorontoLake Erie0,Toronto2RECAP
    2019-01-20TorontoHersey@TorontoTorontoHersey2,Toronto3RECAP
    2019-01-21TorontoToronto@TorontoManchesterToronto1,Manchester2RECAP
    2019-01-22TorontoToronto@TorontoPhiladelphieToronto0,Philadelphie2RECAP
    2019-01-25TorontoLowell@TorontoTorontoLowell3,Toronto2 (SO)RECAP
    2019-01-27TorontoToronto@TorontoHartfordToronto1,Hartford2 (SO)RECAP
    2019-01-28TorontoIowa@TorontoTorontoIowa0,Toronto3RECAP
    2019-01-30TorontoToronto@TorontoWilkes BarreToronto2,Wilkes Barre1RECAP
    2019-02-01TorontoProvidence@TorontoTorontoProvidence2,Toronto1RECAP
    2019-02-04TorontoWilkes Barre@TorontoTorontoWilkes Barre1,Toronto0RECAP
    2019-02-06TorontoToronto@TorontoRochesterToronto0,Rochester1 (OT)RECAP
    2019-02-08TorontoToronto@TorontoHersheyToronto3,Hershey1RECAP
    2019-02-09TorontoGrand Rapids@TorontoTorontoGrand Rapids2,Toronto1RECAP
    2019-02-12TorontoSyracuse@TorontoTorontoSyracuse0,Toronto2RECAP
    2019-02-13TorontoToronto@TorontoProvidenceToronto2,Providence1 (OT)RECAP
    2019-02-14TorontoToronto@TorontoHamiltonToronto2,Hamilton0RECAP
    2019-02-16TorontoBinghamton@TorontoTorontoBinghamton2,Toronto4RECAP
    2019-02-19TorontoFarm Team 32@TorontoTorontoFarm Team 320,Toronto1 (OT)RECAP
    2019-02-20TorontoToronto@TorontoHamiltonToronto2,Hamilton0RECAP
    2019-02-23TorontoBinghamton@TorontoTorontoBinghamton5,Toronto1RECAP
    2019-02-24TorontoToronto@TorontoNorfolkToronto0,Norfolk1RECAP
    2019-02-28TorontoWilkes Barre@TorontoTorontoWilkes Barre3,Toronto2 (SO)RECAP
    2019-03-01TorontoToronto@TorontoRochesterToronto2,Rochester1RECAP

    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
    0 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
    12,405,180$ 0$ 12,405,180$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 14 78,020$ 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

    Wilkes Barre42-33-7, 91pts32Final
    Toronto42-29-11, 95pts

    Toronto42-29-11, 95pts21Final
    Rochester42-27-13, 97pts

    Toronto42-29-11, 95ptsSat, Mar 02
    Rochester42-27-13, 97pts

    Toronto42-29-11, 95ptsSun, Sep 30
    Bridgeport41-23-18, 100pts

    Wilkes Barre42-33-7, 91ptsMon, Oct 01
    Toronto42-29-11, 95pts

    TRANSACTIONS



     
    NEXT HOME GAME

    Thursday, Sep. 27
    vs
    PRESENTED BY
    LEADERBOARD
    Expanded Player Leaderboard
    Team Information
    Toronto
    Toronto
    Head Coach
    General Manager
    CityToronto
    Arena