lhs1quebec.com THE OFFICIAL SITE OF THE Syracuse
SyracuseSyracuseColumbus Blue JacketsSyracuse
  • Scores
  • Schedule
  • Standings
  • Power Ranking
  • Forum
  • Syracuse


    Syracuse



    W:38 | L:29 | OTL:15 | PTS:91

    Goals For
    115
    Goals Against
    121
    Power Play
    19.8%
    Penalty Kill
    81.2%
    Team Chemistry
    37
    Team Overall
    62
    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
    Alex Iafallo (R)0C100.0063358668718388676267656666696642706423
    Anders Bjork0C/LW/RW100.00633583707279656951696666686362567463211,066,670$/3yrs
    Vinni Lettieri (R)0C100.0064358467717959665567625664656344706022
    Scratches
    TEAM AVERAGE100.00633584687180716756686463666664477162
    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
    Alex Iafallo C230$0$
    Anders Bjork C/LW/RW211,066,670$1,066,670$ 1,066,670$ 1,066,670$
    Vinni Lettieri C220$0$

    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
    Providence1010000013-200.0001120010326312121623494221011007566116.67%5340.00%0505102549.27%513101350.64%550106751.55%195113962078564993492nan%8.3%70.0%78.3Unlucky
    Portland4110001166050.62569150010326312441623494221015716295211715.88%15286.67%0505102549.27%513101350.64%550106751.55%19511396207856499349255.6%13.6%89.5%103.1FUN
    Hamilton1010000012-100.00012300103263128162349422101179192400.00%7185.71%0505102549.27%513101350.64%550106751.55%19511396207856499349250.0%12.5%88.2%100.7FUN
    Iowa4110011067-150.6256101611103263125116234942210157161042417317.65%17382.35%0505102549.27%513101350.64%550106751.55%19511396207856499349242.9%11.8%87.7%99.5FUN
    Wilkes Barre1100000010121.000123011032631210162349422101171517300.00%30100.00%0505102549.27%513101350.64%550106751.55%195113962078564993492100.0%10.0%100.0%110.0LUCKY
    Milwaukee4020100169-330.375612180010326312351623494221017119279188337.50%18572.22%0505102549.27%513101350.64%550106751.55%19511396207856499349242.9%17.1%87.3%104.5FUN
    Hartford1100000020221.000246011032631211162349422101616616233.33%30100.00%0505102549.27%513101350.64%550106751.55%195113962078564993492nan%18.2%100.0%118.2LUCKY
    Grand Rapids4110010167-140.500612180010326312391623494221013720992219421.05%17476.47%0505102549.27%513101350.64%550106751.55%19511396207856499349240.0%15.4%81.1%96.5FUN
    Chicago1010000001-100.000000001032631212162349422101124756300.00%50100.00%0505102549.27%513101350.64%550106751.55%1951139620785649934920.0%0.0%91.7%91.7DULL
    Lake Erie4310000085360.7508162401103263125516234942210148111652216425.00%16381.25%0505102549.27%513101350.64%550106751.55%19511396207856499349266.7%14.5%89.6%104.1FUN
    Hershey2000002042241.0004480010326312321623494221012264361119.09%4175.00%0505102549.27%513101350.64%550106751.55%19511396207856499349275.0%12.5%90.9%103.4FUN
    Manitoba4310000053260.750591401103263123716234942210171101461910550.00%19289.47%0505102549.27%513101350.64%550106751.55%1951139620785649934920.0%13.5%95.8%109.3LUCKY
    Toronto1010000002-200.00000010103263121016234942210110395500.00%20100.00%0505102549.27%513101350.64%550106751.55%1951139620785649934920.0%0.0%80.0%80.0Unlucky
    Hersey61400100611-530.2506121800103263126716234942210179271703422522.73%30680.00%0505102549.27%513101350.64%550106751.55%19511396207856499349216.7%9.0%86.1%95.0FUN
    Lowell1100000042221.00048120010326312151623494221011123247342.86%6183.33%0505102549.27%513101350.64%550106751.55%19511396207856499349250.0%26.7%81.8%108.5FUN
    Rockford Icehogs4220000063340.500612180110326312451623494221014918662718316.67%13284.62%0505102549.27%513101350.64%550106751.55%19511396207856499349275.0%13.3%93.9%107.2LUCKY
    Albany1100000010121.00012301103263122016234942210145226400.00%10100.00%0505102549.27%513101350.64%550106751.55%195113962078564993492100.0%5.0%100.0%105.0DULL
    Quad City4120010035-230.3753690110326312321623494221014612742312216.67%12375.00%1505102549.27%513101350.64%550106751.55%19511396207856499349233.3%9.4%89.1%98.5FUN
    Rochester1100000032121.0003690010326312141623494221011443555360.00%5260.00%0505102549.27%513101350.64%550106751.55%195113962078564993492nan%21.4%85.7%107.1FUN
    Manchester5210100177070.7007132003103263126316234942210155171682820315.00%18288.89%0505102549.27%513101350.64%550106751.55%19511396207856499349244.4%11.1%87.3%98.4FUN
    Philadelphie1100000031221.0003690010326312181623494221011132244125.00%6183.33%0505102549.27%513101350.64%550106751.55%195113962078564993492100.0%16.7%90.9%107.6FUN
    Norfolk1010000012-100.00012300103263121316234942210119230711100.00%5260.00%0505102549.27%513101350.64%550106751.55%195113962078564993492nan%7.7%89.5%97.2Unlucky
    Springfield4110010147-340.500471100103263125216234942210166172652712216.67%20480.00%1505102549.27%513101350.64%550106751.55%19511396207856499349240.0%7.7%89.4%97.1Unlucky
    Binghamton2020000036-300.000369101032631227162349422101241107197114.29%11281.82%0505102549.27%513101350.64%550106751.55%19511396207856499349233.3%11.1%75.0%86.1FUN
    Worchester612001201212070.58312183001103263127216234942210185222662531825.81%27581.48%0505102549.27%513101350.64%550106751.55%19511396207856499349236.4%16.7%85.9%102.5FUN
    Bridgeport2110000033020.500369001032631225162349422101306301215320.00%9277.78%0505102549.27%513101350.64%550106751.55%1951139620785649934920.0%12.0%90.0%102.0FUN
    Rochester1000000112-110.50012300103263121516234942210191293200.00%20100.00%0505102549.27%513101350.64%550106751.55%19511396207856499349233.3%6.7%77.8%84.4Unlucky
    Houston5310010076170.7007142102103263127816234942210161231372227518.52%16381.25%0505102549.27%513101350.64%550106751.55%19511396207856499349240.0%9.0%90.2%99.1FUN
    Peroria4100110144060.75048120210326312491623494221015418951515213.33%10280.00%0505102549.27%513101350.64%550106751.55%19511396207856499349250.0%8.2%92.6%100.8DULL
    Farm Team 322010001011020.500101011032631227162349422101289316700.00%8187.50%0505102549.27%513101350.64%550106751.55%195113962078564993492100.0%3.7%96.4%100.1DULL
    _Vs Division26450220337352170.327377210917103263123251623494221013521099211341042019.23%951881.05%0505102549.27%513101350.64%550106751.55%19511396207856499349250.0%11.4%90.1%101.4FUN
    _Vs Conference622120038468692-6700.565861582441131032631271916234942210183624623293272445020.49%2484681.45%2505102549.27%513101350.64%550106751.55%19511396207856499349243.9%12.0%89.0%101.0FUN
    _Since Last GM Reset82282903877115121-6910.55511520932431710326312988162349422101108030330054263346619.76%3306281.21%2505102549.27%513101350.64%550106751.55%19511396207856499349245.4%11.6%88.8%100.4FUN
    Total82282903877115121-6910.55511520932431710326312988162349422101108030330054263346619.76%3306281.21%2505102549.27%513101350.64%550106751.55%19511396207856499349245.4%11.6%88.8%100.4FUN

    Puck Time
    Offensive Zone 23
    Neutral Zone 12
    Defensive Zone 25
    Puck Time
    Offensive Zone Start 1025
    Neutral Zone Start 1067
    Defensive Zone Start 1013
    Puck Time
    With Puck 29
    Without Puck 31
    Faceoffs
    Faceoffs Won 1568
    Faceoffs Lost 1537
    Team Average Shots after League Average Shots after
    1st Period 2.09.57
    2nd Period 6.220.31
    3rd Period 11.430.68
    Overtime 12.631.4
    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 1.42.83
    Even Strenght Goal 44
    PP Goal 66
    PK Goal 2
    Empty Net Goal 3
    Home Away
    Win 2216
    Lost 1118
    Overtime Lost 87
    PP Attempt 334
    PP Goal 66
    PK Attempt 330
    PK Goal Against 62
    Home
    Shots For 12.0
    Shots Against 13.2
    Goals For 1.4
    Goals Against 1.5
    Hits 5.2
    Shots Blocked 3.7
    Pim 36.6
    Schedule
    DateMatchup Result Detail
    2018-09-27SyracuseHouston@SyracuseSyracuseHouston1,Syracuse2RECAP
    2018-09-29SyracuseWorchester@SyracuseSyracuseWorchester1,Syracuse3RECAP
    2018-10-01SyracuseSyracuse@SyracuseWorchesterSyracuse0,Worchester1RECAP
    2018-10-02SyracuseSyracuse@SyracuseHoustonSyracuse2,Houston4RECAP
    2018-10-04SyracuseManchester@SyracuseSyracuseManchester0,Syracuse1RECAP
    2018-10-05SyracuseSyracuse@SyracuseHerseySyracuse1,Hersey2RECAP
    2018-10-07SyracuseSyracuse@SyracuseWorchesterSyracuse3,Worchester4 (OT)RECAP
    2018-10-09SyracuseHouston@SyracuseSyracuseHouston0,Syracuse2RECAP
    2018-10-11SyracuseSyracuse@SyracuseHerseySyracuse0,Hersey2RECAP
    2018-10-12SyracuseSyracuse@SyracusePeroriaSyracuse1,Peroria0 (OT)RECAP
    2018-10-14SyracuseMilwaukee@SyracuseSyracuseMilwaukee2,Syracuse3 (OT)RECAP
    2018-10-17SyracuseHersey@SyracuseSyracuseHersey2,Syracuse1 (OT)RECAP
    2018-10-19SyracuseSyracuse@SyracuseHersheySyracuse2,Hershey1 (SO)RECAP
    2018-10-21SyracuseIowa@SyracuseSyracuseIowa3,Syracuse2 (OT)RECAP
    2018-10-24SyracuseSyracuse@SyracuseQuad CitySyracuse1,Quad City2RECAP
    2018-10-25SyracuseManitoba@SyracuseSyracuseManitoba1,Syracuse2RECAP
    2018-10-27SyracuseSyracuse@SyracuseWilkes BarreSyracuse1,Wilkes Barre0RECAP
    2018-10-29SyracusePhiladelphie@SyracuseSyracusePhiladelphie1,Syracuse3RECAP
    2018-11-01SyracuseSyracuse@SyracuseBinghamtonSyracuse2,Binghamton4RECAP
    2018-11-02SyracuseRockford Icehogs@SyracuseSyracuseRockford Icehogs0,Syracuse3RECAP
    2018-11-04SyracuseRochester@SyracuseSyracuseRochester2,Syracuse3RECAP
    2018-11-06SyracuseSyracuse@SyracuseManchesterSyracuse0,Manchester4RECAP
    2018-11-09SyracuseManchester@SyracuseSyracuseManchester0,Syracuse3RECAP
    2018-11-11SyracuseSyracuse@SyracuseLowellSyracuse4,Lowell2RECAP
    2018-11-12SyracuseSyracuse@SyracuseMilwaukeeSyracuse1,Milwaukee3RECAP
    2018-11-14SyracuseRockford Icehogs@SyracuseSyracuseRockford Icehogs1,Syracuse3RECAP
    2018-11-16SyracuseSyracuse@SyracuseHersheySyracuse2,Hershey1 (SO)RECAP
    2018-11-17SyracuseBinghamton@SyracuseSyracuseBinghamton2,Syracuse1RECAP
    2018-11-20SyracuseHersey@SyracuseSyracuseHersey1,Syracuse2RECAP
    2018-11-22SyracuseSyracuse@SyracuseManchesterSyracuse1,Manchester0 (OT)RECAP
    2018-11-23SyracuseSyracuse@SyracuseGrand RapidsSyracuse0,Grand Rapids1 (OT)RECAP
    2018-11-25SyracuseBridgeport@SyracuseSyracuseBridgeport2,Syracuse1RECAP
    2018-11-28SyracuseProvidence@SyracuseSyracuseProvidence3,Syracuse1RECAP
    2018-12-02SyracuseQuad City@SyracuseSyracuseQuad City0,Syracuse1RECAP
    2018-12-03SyracuseSyracuse@SyracuseWorchesterSyracuse1,Worchester0 (SO)RECAP
    2018-12-05SyracuseSyracuse@SyracuseAlbanySyracuse1,Albany0RECAP
    2018-12-07SyracusePortland@SyracuseSyracusePortland1,Syracuse2 (SO)RECAP
    2018-12-09SyracuseSyracuse@SyracusePeroriaSyracuse1,Peroria0RECAP
    2018-12-10SyracuseHartford@SyracuseSyracuseHartford0,Syracuse2RECAP
    2018-12-12SyracuseManchester@SyracuseSyracuseManchester3,Syracuse2 (SO)RECAP
    2018-12-14SyracuseSyracuse@SyracusePortlandSyracuse2,Portland1RECAP
    2018-12-16SyracuseManitoba@SyracuseSyracuseManitoba1,Syracuse2RECAP
    2018-12-18SyracuseSyracuse@SyracuseLake ErieSyracuse1,Lake Erie0RECAP
    2018-12-19SyracuseSyracuse@SyracuseHerseySyracuse1,Hersey2RECAP
    2018-12-21SyracuseFarm Team 32@SyracuseSyracuseFarm Team 321,Syracuse0RECAP
    2018-12-23SyracuseSyracuse@SyracuseFarm Team 32Syracuse1,Farm Team 320 (SO)RECAP
    2018-12-25SyracuseHouston@SyracuseSyracuseHouston0,Syracuse1RECAP
    2018-12-27SyracuseSyracuse@SyracuseHoustonSyracuse0,Houston1 (OT)RECAP
    2018-12-28SyracuseHersey@SyracuseSyracuseHersey2,Syracuse1RECAP
    2018-12-30SyracuseSyracuse@SyracuseLake ErieSyracuse1,Lake Erie2RECAP
    2019-01-01SyracuseSyracuse@SyracuseHamiltonSyracuse1,Hamilton2RECAP
    2019-01-03SyracusePortland@SyracuseSyracusePortland2,Syracuse1 (SO)RECAP
    2019-01-05SyracuseIowa@SyracuseSyracuseIowa2,Syracuse0RECAP
    2019-01-06SyracuseSyracuse@SyracuseRochesterSyracuse1,Rochester2 (SO)RECAP
    2019-01-09SyracuseSpringfield@SyracuseSyracuseSpringfield1,Syracuse2RECAP
    2019-01-12SyracusePeroria@SyracuseSyracusePeroria2,Syracuse1 (OT)RECAP
    2019-01-14SyracuseSyracuse@SyracuseMilwaukeeSyracuse1,Milwaukee2 (SO)RECAP
    2019-01-16SyracuseSpringfield@SyracuseSyracuseSpringfield2,Syracuse0RECAP
    2019-01-18SyracuseSyracuse@SyracusePortlandSyracuse1,Portland2RECAP
    2019-01-19SyracuseSyracuse@SyracuseRockford IcehogsSyracuse0,Rockford Icehogs1RECAP
    2019-01-21SyracuseNorfolk@SyracuseSyracuseNorfolk2,Syracuse1RECAP
    2019-01-22SyracuseSyracuse@SyracuseRockford IcehogsSyracuse0,Rockford Icehogs1RECAP
    2019-01-24SyracuseLake Erie@SyracuseSyracuseLake Erie2,Syracuse4RECAP
    2019-01-26SyracuseSyracuse@SyracuseGrand RapidsSyracuse0,Grand Rapids1RECAP
    2019-01-28SyracuseQuad City@SyracuseSyracuseQuad City2,Syracuse1 (OT)RECAP
    2019-01-30SyracuseSyracuse@SyracuseIowaSyracuse3,Iowa2 (SO)RECAP
    2019-01-31SyracuseSyracuse@SyracuseManitobaSyracuse1,Manitoba0RECAP
    2019-02-02SyracuseMilwaukee@SyracuseSyracuseMilwaukee2,Syracuse1RECAP
    2019-02-04SyracuseSyracuse@SyracuseManitobaSyracuse0,Manitoba1RECAP
    2019-02-06SyracuseLake Erie@SyracuseSyracuseLake Erie1,Syracuse2RECAP
    2019-02-09SyracuseChicago@SyracuseSyracuseChicago1,Syracuse0RECAP
    2019-02-11SyracuseSyracuse@SyracuseIowaSyracuse1,Iowa0RECAP
    2019-02-12SyracuseSyracuse@SyracuseTorontoSyracuse0,Toronto2RECAP
    2019-02-13SyracusePeroria@SyracuseSyracusePeroria2,Syracuse1 (SO)RECAP
    2019-02-15SyracuseSyracuse@SyracuseBridgeportSyracuse2,Bridgeport1RECAP
    2019-02-16SyracuseGrand Rapids@SyracuseSyracuseGrand Rapids1,Syracuse3RECAP
    2019-02-17SyracuseSyracuse@SyracuseSpringfieldSyracuse1,Springfield2 (OT)RECAP
    2019-02-19SyracuseSyracuse@SyracuseQuad CitySyracuse0,Quad City1RECAP
    2019-02-22SyracuseGrand Rapids@SyracuseSyracuseGrand Rapids4,Syracuse3 (SO)RECAP
    2019-02-25SyracuseWorchester@SyracuseSyracuseWorchester4,Syracuse2RECAP
    2019-02-26SyracuseSyracuse@SyracuseSpringfieldSyracuse1,Springfield2 (SO)RECAP
    2019-03-01SyracuseWorchester@SyracuseSyracuseWorchester2,Syracuse3 (SO)RECAP

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    1,066,670$ 0$ 0$ 75,000,000$

    ArenaAbout us
    Name
    CitySyracuse
    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
    1,066,670$ 1,066,670$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    1,537,908$ 0$ 1,537,908$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 14 6,709$ 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

    Syracuse38-29-15, 91pts12Final
    Springfield37-32-13, 87pts

    Worchester41-28-13, 95pts23Final
    Syracuse38-29-15, 91pts

    Worchester41-28-13, 95ptsSat, Mar 02
    Syracuse38-29-15, 91pts

    Worchester41-28-13, 95ptsSun, Sep 30
    Syracuse38-29-15, 91pts

    Syracuse38-29-15, 91ptsTue, Oct 02
    Worchester41-28-13, 95pts

    TRANSACTIONS



     
    NEXT HOME GAME

    Friday, Sep. 28
    vs
    PRESENTED BY
    LEADERBOARD
    Expanded Player Leaderboard
    Team Information
    Syracuse
    Syracuse
    Head Coach
    General Manager
    CitySyracuse
    Arena