• Monsters
    GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
    GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
    Jean Levergneaux | 50 | 71


    Jean Levergneaux
    Metropolitan Division
    Eastern Conference




    5,000
    5,000




    27
    18
    45 / 55
    27


    PriorityDescription
    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
    # #C L R D CON PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
    1Marco Kasper0X100.00825099709867937375757870456165050830202918,333$
    2Zack Ostapchuk0X100.00907499739945736374786880476264050810212825,000$
    3Nils Aman0XXX100.00724799679344665874716175436567050730242775,500$
    4Nick Abruzzese0X100.00555075708083857171686050456668050710252813,750$
    5Calle Rosen0X100.00555075648073756330686065457173050700301876,875$
    6Frederic Brunet0X100.00555075608081836030686060456264050690202860,000$
    1Maxim Tsyplakov (R)0X100.008165997098659370588170764566680508302500$
    2Charles Hudon0X100.007066757788798177746966694571730507903000$
    3Connor Brown0X100.005550997098599964577568804576730507803000$
    4Chris Terry0X100.006561757686808278746966504576780507603500$
    5Dalibor Dvorsky (R)0X100.005550757382727377726867504561650507401900$
    6Cole Reinhardt0X100.008569886692356657687161754365670507402400$
    7Logan Shaw0X100.005550757280808271676864504573780507203100$
    8Chase Stillman0X100.00716775608076786053686050456264050690212863,334$
    9Nathan Legare0X100.007570756080818360526860504564650506902300$
    10Max McCormick0X100.006056696789546567606363464273770506903200$
    11Fredrik Karlstrom0X100.005248715979556764626561484367690506702600$
    12Jakub Rychlovsky (R)0X100.005248715776556757576557484364650506402200$
    13Christian Wolanin0X100.006157756485687070306960644570720507302900$
    14Charles-Alexis Legault (R)0X100.007065756080747660306860554562640507002000$
    15Filip Roos0X100.00555175608080826030686050456668050680252813,750$
    16Matthew Robertson0X100.006864756080717260306860504564660506802300$
    17Dillon Heatherington0X100.006157756080697160306860504570720506802900$
    18Jesse Pulkkinen (R)0X100.004844665370516153306053443961630505901900$
    100.0065578065856777655469635944676905072
    PriorityDescription
    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
    # #CON PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
    1Nikita Tolopilo0100.0079707075788080757870736573050770241950,000$
    1Malcolm Subban0100.00676754687675737368677472860507103000$
    2Vyacheslav Peksa (R)0100.00535353536261555649534563690505502100$
    100.006663596572726968656364677605068
    PH DF OF PD EX LD PO CNT


    PriorityDescription
    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
    # GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
    PriorityDescription
    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
    # GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


    PriorityDescription
    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 NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
    Calle Rosen Monsters (CBJ)D301994-02-02SWENo188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm876,875$876,875$0$0$NoUnrestricted----------------------Link / NHL Link
    Charles Hudon Monsters (CBJ)LW301994-06-23CANNo190 Lbs5 ft10NoNoFree AgentNoNo02024-08-24FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Charles-Alexis Legault Monsters (CBJ)D202003-09-05CANYes208 Lbs6 ft3NoNoProspectNoNo02025-07-15FalseFalsePro & Farm0$0$No----915,833$915,833$----------------Link
    Chase Stillman Monsters (CBJ)RW212003-03-19USANo185 Lbs6 ft1NoNoProspectNoNo22024-07-02FalseFalsePro & Farm863,334$863,334$0$0$No863,334$Restricted----863,334$--------No--------Link / NHL Link
    Chris Terry Monsters (CBJ)LW351989-04-07CANNo191 Lbs5 ft10NoNoFree AgentNoNo02024-08-24FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Christian Wolanin Monsters (CBJ)D291995-03-17CANNo190 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Cole Reinhardt Monsters (CBJ)LW242000-02-01CANNo207 Lbs6 ft1NoNoN/ANoNo0FalseFalseFarm Only0$0$No----------------------Link / NHL Link
    Connor Brown Monsters (CBJ)RW301994-01-14CANNo184 Lbs6 ft0NoNoProspectNoNo02024-07-02FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Dalibor Dvorsky Monsters (CBJ)RW192005-06-15SVKYes201 Lbs6 ft1NoNoDraftNoNo02025-07-15FalseFalsePro & Farm0$0$No----918,333$918,333$----------------Link
    Dillon Heatherington Monsters (CBJ)D291995-05-09CANNo215 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Filip Roos Monsters (CBJ)D251999-01-05SWENo200 Lbs6 ft4NoNoFree AgentNoNo22024-08-09FalseFalsePro & Farm813,750$813,750$0$0$No813,750$ Restricted----813,750$--------No--------Link / NHL Link
    Frederic Brunet Monsters (CBJ)D202003-08-21CANNo196 Lbs6 ft3NoNoProspectNoNo22024-07-02FalseFalsePro & Farm860,000$860,000$0$0$No860,000$Restricted----860,000$--------No--------Link / NHL Link
    Fredrik Karlstrom Monsters (CBJ)C261998-01-12SWENo195 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Jakub Rychlovsky Monsters (CBJ)LW222001-08-07CZEYes200 Lbs5 ft11NoNoDraftNoNo02025-07-15FalseFalsePro & Farm0$0$No----870,000$-----------------Link
    Jesse Pulkkinen Monsters (CBJ)D192004-12-27FINYes215 Lbs6 ft6NoNoDraftNoNo02025-07-15FalseFalsePro & Farm0$0$No----880,833$880,833$----------------Link
    Logan Shaw Monsters (CBJ)RW311992-10-05CANNo208 Lbs6 ft3NoNoFree AgentNoNo02024-08-24FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Malcolm Subban Monsters (CBJ)G301993-12-21CANNo215 Lbs6 ft2NoNoFree AgentNoNo02024-08-17FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Marco Kasper Monsters (CBJ)C202004-04-08AUTNo183 Lbs6 ft1NoNoProspectNoNo22024-07-02FalseFalsePro & Farm918,333$918,333$0$0$No918,333$Restricted----918,333$--------No--------Link / NHL Link
    Matthew Robertson Monsters (CBJ)D232001-03-09CANNo211 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Max McCormick Monsters (CBJ)LW321992-05-01USANo188 Lbs5 ft11NoNoFree AgentNoNo02024-08-24FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Maxim Tsyplakov Monsters (CBJ)RW251998-09-19RUSYes210 Lbs6 ft3NoNoDraftNoNo02025-07-15FalseFalsePro & Farm0$0$No----------------------Link
    Nathan Legare Monsters (CBJ)RW232001-01-11CANNo208 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
    Nick Abruzzese Monsters (CBJ)C251999-06-04USANo180 Lbs5 ft11NoNoFree AgentNoNo22024-08-09FalseFalsePro & Farm813,750$813,750$0$0$No813,750$ Restricted----813,750$--------No--------Link / NHL Link
    Nikita Tolopilo Monsters (CBJ)G242000-04-06BLRNo229 Lbs6 ft6NoNoProspectNoNo12024-07-02FalseFalsePro & Farm950,000$950,000$0$0$No Restricted----------------------Link / NHL Link
    Nils Aman Monsters (CBJ)C/LW/RW242000-02-07SWENo179 Lbs6 ft2NoNoFree AgentNoNo22024-08-09FalseFalsePro & Farm775,500$775,500$0$0$No775,500$ Restricted----775,500$--------No--------Link / NHL Link
    Vyacheslav Peksa Monsters (CBJ)G212002-08-27RUSYes194 Lbs6 ft3NoNoProspectNoNo02025-07-15FalseFalsePro & Farm0$0$No----851,667$-----------------Link
    Zack Ostapchuk Monsters (CBJ)C212003-05-29CANNo212 Lbs6 ft4NoNoProspectNoNo22024-07-02FalseFalsePro & Farm825,000$825,000$0$0$No825,000$Restricted----825,000$--------No--------Link / NHL Link
    2725.11199 Lbs6 ft20.59285,057$



    1Marco KasperNils Aman30122
    230122
    320122
    4Nick Abruzzese20122
    130122
    2Calle RosenFrederic Brunet30122
    320122
    420122
    1Marco Kasper50005
    2Nils Aman50005
    150014
    2Nick AbruzzeseFrederic Brunet50014
    1Marco Kasper50140
    250140
    150230
    2Frederic Brunet50230
    150140Calle Rosen50140
    2Marco Kasper50140Frederic Brunet50140
    1Marco Kasper50122
    2Nick Abruzzese50122
    1Frederic Brunet50122
    250122
    Marco KasperNick Abruzzese
    Nils Aman
    Marco Kasper, , Nick Abruzzese,
    , Frederic Brunet, ,
    , Nick Abruzzese, Marco Kasper, ,
    #1 : Nikita Tolopilo, #2 :
    Marco Kasper, Nils Aman, Nick Abruzzese, , , , , , , ,
    , , , , Frederic Brunet


    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
    OverallHomeVisitor
    # VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
    Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

    Total For Players
    Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
    00N/A0000000000
    All Games
    GPWLOTWOTL SOWSOLGFGA
    000000000
    Home Games
    GPWLOTWOTL SOWSOLGFGA
    000000000
    Visitor Games
    GPWLOTWOTL SOWSOLGFGA
    000000000
    Last 10 Games
    WLOTWOTL SOWSOL
    000000
    Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
    000%000%0
    Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
    00000000
    Face Offs
    Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
    000%000%000%
    Puck Time
    In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
    000000


    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
    DayGame Visitor Score Home Score ST OT SO RI Link



    Arena Capacity - Ticket Price Attendance - %
    Level 1Level 2
    Capacity35001500
    Ticket Price5025
    Attendance0%0%
    Attendance PCT0%0%

    Income
    Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
    41 0 - 0%0$0$5000100

    Expenses
    Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
    0$ 7,696,542$ 7,696,542$ 0$
    Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
    0$ 0$ 0 0

    Estimate
    Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
    0$ 0 0$ 0$




    Monsters Players Stat Leaders (Regular Season)

    # Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

    Monsters Goalies Stat Leaders (Regular Season)

    # Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

    Monsters Career Team Stats

    OverallHomeVisitor
    Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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

    Monsters Players Stat Leaders (Play-Off)

    # Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

    Monsters Goalies Stat Leaders (Play-Off)

    # Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA





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