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    Syracuse



    W:12 | L:7 | OTL:3 | PTS:27

    Goals For
    38
    Goals Against
    37
    Power Play
    25.3%
    Penalty Kill
    76.2%
    Team Chemistry
    53
    Team Overall
    66
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    Day 45
    Manchester19h30
    Syracuse
    Day 47
    Syracuse19h30
    Lowell
    Day 48
    Syracuse20h30
    Milwaukee
    Day 50
    Rockford Icehogs19h30
    Syracuse
    Day 52
    Syracuse20h30
    Hershey
    Day 53
    Binghamton19h30
    Syracuse
    Day 56
    Hersey19h30
    Syracuse
    Day 58
    Syracuse22h00
    Manchester
    Day 59
    Syracuse19h30
    Grand Rapids
    Day 61
    Bridgeport19h30
    Syracuse
    Day 64
    Providence19h30
    Syracuse
    Day 68
    Quad City19h30
    Syracuse
    Day 69
    Syracuse20h30
    Worchester
    Day 71
    Syracuse19h30
    Albany
    Day 73
    Portland19h30
    Syracuse
    Day 75
    Syracuse22h00
    Peroria
    Day 76
    Hartford19h30
    Syracuse
    Day 78
    Manchester19h30
    Syracuse
    Day 80
    Syracuse21h00
    Portland
    Day 82
    Manitoba19h30
    Syracuse
    Day 84
    Syracuse22h30
    Lake Erie
    Day 85
    Syracuse21h30
    Hersey
    Day 87
    Farm Team 3219h30
    Syracuse
    Day 89
    Syracuse19h30
    Farm Team 32
    Day 91
    Houston19h30
    Syracuse
    Day 93
    Syracuse22h30
    Houston
    Day 94
    Hersey19h30
    Syracuse
    Day 96
    Syracuse22h30
    Lake Erie
    Day 98
    Syracuse19h30
    Hamilton
    Day 100
    Portland19h30
    Syracuse
    Day 102
    Iowa19h30
    Syracuse
    Day 103
    Syracuse19h30
    Rochester
    Day 106
    Springfield19h30
    Syracuse
    Day 109
    Peroria19h30
    Syracuse
    Day 111
    Syracuse20h30
    Milwaukee
    Day 113
    Springfield19h30
    Syracuse
    Day 115
    Syracuse21h00
    Portland
    Day 116
    Syracuse20h30
    Rockford Icehogs
    Day 118
    Norfolk19h30
    Syracuse
    Day 119
    Syracuse20h30
    Rockford Icehogs
    Day 121
    Lake Erie19h30
    Syracuse
    Day 123
    Syracuse19h30
    Grand Rapids
    Day 125
    Quad City19h30
    Syracuse
    Day 127
    Syracuse22h00
    Iowa
    Day 128
    Syracuse20h30
    Manitoba
    Day 130
    Milwaukee19h30
    Syracuse
    Day 132
    Syracuse20h30
    Manitoba
    Day 134
    Lake Erie19h30
    Syracuse
    Day 137
    Chicago19h30
    Syracuse
    Day 139
    Syracuse22h00
    Iowa
    Day 140
    Syracuse19h30
    Toronto
    Day 141
    Peroria19h30
    Syracuse
    Day 143
    Syracuse19h30
    Bridgeport
    Day 144
    Grand Rapids19h30
    Syracuse
    Day 145
    Syracuse21h30
    Springfield
    Day 147
    Syracuse22h30
    Quad City
    Day 150
    Grand Rapids19h30
    Syracuse
    Day 153
    Worchester19h30
    Syracuse
    Day 154
    Syracuse21h30
    Springfield
    Day 157
    Worchester19h30
    Syracuse
    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)0C100.0063358668718388676267656666696642566423
    Anders Bjork0C/LW/RW100.00633583707279656951696666686362565863211,066,670$/3yrs
    Vinni Lettieri (R)0C100.0064358467717959665567625664656344566022
    Scratches
    TEAM AVERAGE100.00633584687180716756686463666664475762
    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
    1Juuse Saros100.00837493688281838281828165696156760
    Scratches
    TEAM AVERAGE100.0083749368828183828182816569615676
    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
    Alex Iafallo C230$0$
    Anders Bjork C/LW/RW211,066,670$1,066,670$ 1,066,670$ 1,066,670$
    Juuse Saros G22925,000$925,000$
    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
    Iowa1000010023-110.50024600315173135394113131615355120.00%4175.00%015428753.66%13428047.86%15830551.80%49434557515527013333.3%15.4%81.3%96.6FUN
    Wilkes Barre1100000010121.0001230131517310539411313171517300.00%30100.00%015428753.66%13428047.86%15830551.80%494345575155270133100.0%10.0%100.0%110.0LUCKY
    Milwaukee1000100032121.00036900315173115394113131959095240.00%5260.00%015428753.66%13428047.86%15830551.80%494345575155270133100.0%27.3%89.5%116.7FUN
    Hershey1000001021121.00022400315173125394113131333925120.00%2150.00%015428753.66%13428047.86%15830551.80%494345575155270133100.0%16.7%92.3%109.0LUCKY
    Manitoba1100000021121.000235003151731153941131316041522100.00%3166.67%015428753.66%13428047.86%15830551.80%494345575155270133nan%18.2%93.8%111.9LUCKY
    Hersey3020010026-410.16724600315173325394113134216691812216.67%12375.00%015428753.66%13428047.86%15830551.80%4943455751552701330.0%6.3%85.7%92.0Unlucky
    Rockford Icehogs1100000030321.00036901315173155394113131361875240.00%40100.00%015428753.66%13428047.86%15830551.80%494345575155270133100.0%20.0%100.0%120.0LUCKY
    Quad City1010000012-100.000123003151736539411313641376116.67%4250.00%015428753.66%13428047.86%15830551.80%494345575155270133nan%16.7%66.7%83.3FUN
    Rochester1100000032121.00036900315173145394113131443555360.00%5260.00%015428753.66%13428047.86%15830551.80%494345575155270133nan%21.4%85.7%107.1FUN
    Manchester2110000014-320.50012301315173225394113132541158500.00%10190.00%015428753.66%13428047.86%15830551.80%49434557515527013325.0%4.5%84.0%88.5Unlucky
    Philadelphie1100000031221.00036900315173185394113131132244125.00%6183.33%015428753.66%13428047.86%15830551.80%494345575155270133100.0%16.7%90.9%107.6FUN
    Binghamton1010000024-200.0002461031517315539411313110628300.00%6183.33%015428753.66%13428047.86%15830551.80%49434557515527013340.0%13.3%63.6%77.0FUN
    Worchester3110010066030.50061218003151733853941131340121291319526.32%7271.43%015428753.66%13428047.86%15830551.80%49434557515527013320.0%15.8%85.0%100.8FUN
    Houston3210000065140.6676121801315173445394113133712941118527.78%12375.00%015428753.66%13428047.86%15830551.80%49434557515527013333.3%13.6%86.5%100.1FUN
    Peroria1000100010121.000123013151739539411313145274200.00%10100.00%015428753.66%13428047.86%15830551.80%494345575155270133100.0%11.1%100.0%111.1LUCKY
    _Vs Division710020001510560.4291530450331517392539411313992928236351028.57%26676.92%015428753.66%13428047.86%15830551.80%49434557515527013355.6%16.3%89.9%106.2FUN
    _Vs Conference1766023002729-2190.559275380043151732015394113132286564987792025.32%621575.81%015428753.66%13428047.86%15830551.80%49434557515527013333.3%13.4%87.3%100.7FUN
    _Since Last GM Reset22970231038371270.61438731111531517327053941131329476858113992525.25%842076.19%015428753.66%13428047.86%15830551.80%49434557515527013343.3%14.1%87.4%101.5FUN
    Total22970231038371270.61438731111531517327053941131329476858113992525.25%842076.19%015428753.66%13428047.86%15830551.80%49434557515527013343.3%14.1%87.4%101.5FUN

    Puck Time
    Offensive Zone 22
    Neutral Zone 12
    Defensive Zone 26
    Puck Time
    Offensive Zone Start 287
    Neutral Zone Start 305
    Defensive Zone Start 280
    Puck Time
    With Puck 28
    Without Puck 32
    Faceoffs
    Faceoffs Won 446
    Faceoffs Lost 426
    Team Average Shots after League Average Shots after
    1st Period 2.49.57
    2nd Period 6.720.31
    3rd Period 11.830.68
    Overtime 12.431.4
    Goals in Team Average Goals after League Average Goals after
    1st Period 0.10.64
    2nd Period 0.81.65
    3rd Period 1.62.67
    Overtime 1.72.83
    Even Strenght Goal 12
    PP Goal 25
    PK Goal 0
    Empty Net Goal 1
    Home Away
    Win 93
    Lost 07
    Overtime Lost 21
    PP Attempt 99
    PP Goal 25
    PK Attempt 84
    PK Goal Against 20
    Home
    Shots For 12.3
    Shots Against 13.4
    Goals For 1.7
    Goals Against 1.7
    Hits 5.1
    Shots Blocked 3.5
    Pim 39.0
    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@SyracuseSyracuse
    2018-11-11SyracuseSyracuse@SyracuseLowell
    2018-11-12SyracuseSyracuse@SyracuseMilwaukee
    2018-11-14SyracuseRockford Icehogs@SyracuseSyracuse
    2018-11-16SyracuseSyracuse@SyracuseHershey
    2018-11-17SyracuseBinghamton@SyracuseSyracuse
    2018-11-20SyracuseHersey@SyracuseSyracuse
    2018-11-22SyracuseSyracuse@SyracuseManchester
    2018-11-23SyracuseSyracuse@SyracuseGrand Rapids
    2018-11-25SyracuseBridgeport@SyracuseSyracuse
    2018-11-28SyracuseProvidence@SyracuseSyracuse
    2018-12-02SyracuseQuad City@SyracuseSyracuse
    2018-12-03SyracuseSyracuse@SyracuseWorchester
    2018-12-05SyracuseSyracuse@SyracuseAlbany
    2018-12-07SyracusePortland@SyracuseSyracuse
    2018-12-09SyracuseSyracuse@SyracusePeroria
    2018-12-10SyracuseHartford@SyracuseSyracuse
    2018-12-12SyracuseManchester@SyracuseSyracuse
    2018-12-14SyracuseSyracuse@SyracusePortland
    2018-12-16SyracuseManitoba@SyracuseSyracuse
    2018-12-18SyracuseSyracuse@SyracuseLake Erie
    2018-12-19SyracuseSyracuse@SyracuseHersey
    2018-12-21SyracuseFarm Team 32@SyracuseSyracuse
    2018-12-23SyracuseSyracuse@SyracuseFarm Team 32
    2018-12-25SyracuseHouston@SyracuseSyracuse
    2018-12-27SyracuseSyracuse@SyracuseHouston
    2018-12-28SyracuseHersey@SyracuseSyracuse
    2018-12-30SyracuseSyracuse@SyracuseLake Erie
    2019-01-01SyracuseSyracuse@SyracuseHamilton
    2019-01-03SyracusePortland@SyracuseSyracuse
    2019-01-05SyracuseIowa@SyracuseSyracuse
    2019-01-06SyracuseSyracuse@SyracuseRochester
    2019-01-09SyracuseSpringfield@SyracuseSyracuse
    2019-01-12SyracusePeroria@SyracuseSyracuse
    2019-01-14SyracuseSyracuse@SyracuseMilwaukee
    2019-01-16SyracuseSpringfield@SyracuseSyracuse
    2019-01-18SyracuseSyracuse@SyracusePortland
    2019-01-19SyracuseSyracuse@SyracuseRockford Icehogs
    2019-01-21SyracuseNorfolk@SyracuseSyracuse
    2019-01-22SyracuseSyracuse@SyracuseRockford Icehogs
    2019-01-24SyracuseLake Erie@SyracuseSyracuse
    2019-01-26SyracuseSyracuse@SyracuseGrand Rapids
    2019-01-28SyracuseQuad City@SyracuseSyracuse
    2019-01-30SyracuseSyracuse@SyracuseIowa
    2019-01-31SyracuseSyracuse@SyracuseManitoba
    2019-02-02SyracuseMilwaukee@SyracuseSyracuse
    2019-02-04SyracuseSyracuse@SyracuseManitoba
    2019-02-06SyracuseLake Erie@SyracuseSyracuse
    2019-02-09SyracuseChicago@SyracuseSyracuse
    2019-02-11SyracuseSyracuse@SyracuseIowa
    2019-02-12SyracuseSyracuse@SyracuseToronto
    2019-02-13SyracusePeroria@SyracuseSyracuse
    2019-02-15SyracuseSyracuse@SyracuseBridgeport
    2019-02-16SyracuseGrand Rapids@SyracuseSyracuse
    2019-02-17SyracuseSyracuse@SyracuseSpringfield
    2019-02-19SyracuseSyracuse@SyracuseQuad City
    2019-02-22SyracuseGrand Rapids@SyracuseSyracuse
    2019-02-25SyracuseWorchester@SyracuseSyracuse
    2019-02-26SyracuseSyracuse@SyracuseSpringfield
    2019-03-01SyracuseWorchester@SyracuseSyracuse

    Finance
    Salary Cap
    Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
    1,991,670$ 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
    30 0 - 0.00% 0$0$3000100

    Expenses
    Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
    1,991,670$ 1,991,670$ 0$ 0$
    Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
    526,092$ 0$ 526,092$ 0$

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 135 12,526$ 1,465,542$

    Team Total Estimate
    Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
    1,465,542$ 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

    Rochester12-10-1, 25pts23Final
    Syracuse12-7-3, 27pts

    Syracuse12-7-3, 27pts04Final
    Manchester16-5-2, 34pts

    Syracuse12-7-3, 27ptsWed, Nov 07
    Manchester16-5-2, 34pts

    Worchester11-9-2, 24ptsSun, Sep 30
    Syracuse12-7-3, 27pts

    Syracuse12-7-3, 27ptsTue, Oct 02
    Worchester11-9-2, 24pts

    TRANSACTIONS



     
    NEXT HOME GAME

    Saturday, Nov. 10
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    LEADERBOARD
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    Team Information
    Syracuse
    Syracuse
    Head Coach
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    CitySyracuse
    Arena