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MonstersCleveland
Monsters
39-37-6, 84pts · 11th in EST
Roster
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Cedric Paquette13C100.0083457360757977617462637164727305070294,332,000$/1yrs
Alex Limoges (A)0LW100.0066389365788086616462666165666705069251,140,000$/2yrs
Marian Studenic43LW/RW100.006339866374807965616465686465670506924953,125$/2yrs
Steven Lorentz61C/LW/RW100.0065389564887786658062615662666705069271,099,667$/3yrs
Rafael Harvey-Pinard (A)49LW/RW100.007635836466828664576266616564690506924825,000$/2yrs
Adam Mascherin72LW100.006346816472778265686163626465670506824750,000$/1yrs
Garrett Pilon40C100.006337936573867961756267616564660506825869,500$/2yrs
Bokondji Imama16LW100.007785645982698060566162585766680506726980,500$/2yrs
Otto Somppi42C100.0068398763797580637062586163646605067251,049,000$/1yrs
Mark Kastelic47C100.008136655885798653756059615663640506724821,667$/2yrs
Jack Dugan70LW100.0068357861777673606663585762646605066251,156,250$/2yrs
Dominic Turgeon88C100.006139885980768558625657615966690506627999,000$/1yrs
Pierre-Olivier Joseph (C)73D100.006938847177868770307160625163650507223908,628$/3yrs
Greg Pateryn29D100.007545795985807361306758745073770507132750,000$/1yrs
Joel Hanley54D100.006936846871807566307055645371720506931950,000$/2yrs
Nick Seeler4D100.007645786081827453306154684769710506829942,667$/3yrs
Isaak Phillips41D100.006738765782778559305756604861630506621925,000$/3yrs
Ole Bjorgvik-Holm94D100.006934835778727759305853564659610506420901,875$/4yrs
Scratches
Tyler Angle59LW100.005836896467888962596358576462650506622925,000$/3yrs
Ivan Chekhovich82LW/RW100.005035956367807464566259606463620506524903,333$/1yrs
Nathan Legare (R)34RW100.006639835575838553585556575561630506422905,000$/3yrs
Brian Lashoff32D100.007742835786658856305554584672770506632977,000$/1yrs
Brady Keeper25D100.005835955880777360305956625069650506526858,250$/2yrs
Nikolas Brouillard65D100.005743636164748659306257565067690506528750,000$/1yrs
Yanni Kaldis77D100.006138865970748158306254574567690506427750,000$/1yrs
Andreas Borgman2D100.006639785775806458305759585167690506427750,000$/1yrs
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
Erik Kallgren50100.00748583827372747372747366750507626750,000$/2yrs
Vasily Demchenko35100.00727876797170727170727173770507529750,000$/1yrs
Scratches
Lukas Parik33100.00656668896463656463656461650506822750,000$/1yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Stéphane Richer75757575757575Can5650$
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 PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Pierre-Olivier JosephMonstersMonsters (CLB)D822469938460912106012311.43%12024.53141630033255430.00%201.13121.01
2Cedric PaquetteMonstersMonsters (CLB)C80334174-6115152612927421411.30%3222.10812202021793152.75%120.93130.76
3Rafael Harvey-PinardMonstersMonsters (CLB)LW/RW812647731620171311852488.36%1720.4561420000961141.34%010.90050.89
4Marian StudenicMonstersMonsters (CLB)LW/RW82174865-414082273751956.23%2317.10212140111801248.51%000.79020.82
5Joel HanleyMonstersMonsters (CLB)D75114354-1256012613539868.15%10921.7741014000194110.00%000.72000.54
6Alex LimogesMonstersMonsters (CLB)LW822724517215432706717510.00%2520.8067131121847152.83%020.62130.73
7Nick SeelerMonstersMonsters (CLB)D821234463655149105288911.43%11419.343710000211100.00%000.56000.48
8Garrett PilonMonstersMonsters (CLB)C77122537-1014049166551127.23%1115.000110111674154.11%100.48010.45
9Otto SomppiMonstersMonsters (CLB)C81142236310045151451189.27%1113.07123000100051.10%100.44000.48
10Greg PaterynMonstersMonsters (CLB)D64112536-345513684336213.10%7317.5621300050000.00%000.56000.45
11Steven LorentzMonstersMonsters (CLB)C/LW/RW551420341616032132348510.61%817.27066000236050.00%000.62120.71
12Adam MascherinMonstersMonsters (CLB)LW63201030-5140501432610313.99%813.2720200072146.67%000.48110.50
13Bokondji ImamaMonstersMonsters (CLB)LW82101525045512812337738.13%1110.1012300002040.38%000.30000.29
14Brian LashoffMonstersMonsters (CLB)D705172248201565410449.26%5620.0334700048020.00%000.31000.19
15Brady KeeperMonstersMonsters (CLB)D3741216-260203191812.90%4219.0601101148110.00%000.43000.37
16Mark KastelicMonstersMonsters (CLB)C826915-3300766211389.68%36.8600000010052.27%000.18000.13
17Isaak PhillipsMonstersMonsters (CLB)D7621113-6260914312444.65%8917.30000112200000.00%000.17000.16
18Dominic TurgeonMonstersMonsters (CLB)C404593201035103111.43%38.29000000790041.40%000.23000.24
19Nathan LegareMonstersMonsters (CLB)RW283690602327112211.11%316.4511200000053.33%000.32020.29
20Ivan ChekhovichMonstersMonsters (CLB)LW/RW23246-50013814265.26%210.6900000040040.91%000.26000.25
21Jack DuganMonstersMonsters (CLB)LW33112-1007204105.00%03.4901100000026.67%000.06000.09
22Ole Bjorgvik-HolmMonstersMonsters (CLB)D2000-10021010.00%214.930000003000.00%000.0000-0.06
23Tyler AngleMonstersMonsters (CLB)LW700000000000.00%00.320000000000.00%000.00010.00
24Andreas BorgmanMonstersMonsters (CLB)D1000000000000.00%00.070000000000.00%000.00000.00
Team Total or Average1394258488746-13675351749270673919179.53%76216.425397150228848121946331451.46%680000550.65522
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
1Erik KallgrenMonstersMonsters (CLB)50222030.9003.6927622117016990310.818114438121
2Vasily DemchenkoMonstersMonsters (CLB)20010.9132.6491004460000.6258124000
Team Total or Average52222040.9003.6628532117417450310.737194562121
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Adam Mascherin LW24750,000$750,000$ RFA
Alex Limoges LW251,140,000$1,500,000$ 780,000$ UFA
Andreas Borgman D27750,000$700,000$ UFA
Bokondji Imama LW26980,500$1,211,000$ 750,000$ UFA
Brady Keeper D26858,250$954,000$ 762,500$ UFA
Brian Lashoff D32977,000$977,000$ UFA
Cedric Paquette C294,332,000$4,332,000$ UFA
Dominic Turgeon C27999,000$999,000$ UFA
Erik Kallgren G26750,000$750,000$ 750,000$ UFA
Garrett Pilon C25869,500$989,000$ 750,000$ UFA
Greg Pateryn D32750,000$750,000$ UFA
Isaak Phillips D21925,000$925,000$ 925,000$ 925,000$ RFA
Ivan Chekhovich LW/RW24903,333$903,333$ RFA
Jack Dugan LW251,156,250$1,562,500$ 750,000$ UFA
Joel Hanley D31950,000$1,150,000$ 750,000$ UFA
Lukas Parik G22750,000$750,000$ RFA
Marian Studenic LW/RW24953,125$1,156,250$ 750,000$ RFA
Mark Kastelic C24821,667$821,667$ 821,667$ RFA
Nathan Legare RW22905,000$905,000$ 905,000$ 905,000$ RFA
Nick Seeler D29942,667$1,278,000$ 775,000$ 775,000$ UFA
Nikolas Brouillard D28750,000$750,000$ UFA
Ole Bjorgvik-Holm D20901,875$917,500$ 896,667$ 896,667$ 896,667$ RFA
Otto Somppi C251,049,000$1,049,000$ RFA
Pierre-Olivier Joseph D23908,628$1,075,883$ 825,000$ 825,000$ RFA
Rafael Harvey-Pinard LW/RW24825,000$825,000$ 825,000$ RFA
Steven Lorentz C/LW/RW271,099,667$1,199,000$ 1,050,000$ 1,050,000$ UFA
Tyler Angle LW22925,000$925,000$ 925,000$ 925,000$ RFA
Vasily Demchenko G29750,000$750,000$ UFA
Yanni Kaldis D27750,000$750,000$ UFA

Lines
Forward Lines


# - Alex Limoges


# - Cedric Paquette


# - Rafael Harvey-Pinard


# - Adam Mascherin


# - Garrett Pilon


# - Marian Studenic


# - Bokondji Imama


# - Otto Somppi


# - Steven Lorentz


# - Cedric Paquette


# - Mark Kastelic


# - Dominic Turgeon

Defensive Pairings


# - Pierre-Olivier Joseph


# - Ole Bjorgvik-Holm


# - Joel Hanley


# - Greg Pateryn


# - Isaak Phillips


# - Nick Seeler

1st Power Play Unit


# - Rafael Harvey-Pinard


# - Cedric Paquette


# - Marian Studenic


# - Pierre-Olivier Joseph


# - Ole Bjorgvik-Holm

2nd Power Play Unit


# - Alex Limoges


# - Garrett Pilon


# - Bokondji Imama


# - Isaak Phillips


# - Greg Pateryn

Goalies


# - Erik Kallgren


# - Vasily Demchenko

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
1MonstersCheckers321000001311240.667132235001108586712589697910005010521197113215.38%7442.86%11594308651.65%1546305450.62%715137951.85%195813391922611107253461.1%10.4%89.5%99.9FUN
2MonstersMarlies30100101815-720.3338132100110858671018969791000509827357110110.00%14471.43%01594308651.65%1546305450.62%715137951.85%195813391922611107253438.9%7.9%84.7%92.6Unlucky
3MonstersAmericans2110000069-320.50061117001108586763896979100050692226369222.22%13469.23%01594308651.65%1546305450.62%715137951.85%195813391922611107253444.4%9.5%87.0%96.5FUN
4MonstersBinghamton Senateurs2020000069-300.00061117001108586757896979100050852322498112.50%11463.64%01594308651.65%1546305450.62%715137951.85%195813391922611107253450.0%10.5%89.4%99.9FUN
5MonstersBears622001102022-270.583203555001108586725889697910005021751281262926.90%14564.29%01594308651.65%1546305450.62%715137951.85%195813391922611107253451.4%7.8%89.9%97.6Unlucky
6MonstersRockets31200000911-220.3339152400110858671018969791000501002387617317.65%4325.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253442.9%8.9%89.0%97.9Unlucky
7MonstersProvidence Bruins20200000410-600.000481200110858677189697910005069182255400.00%8450.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253440.0%5.6%85.5%91.1Unlucky
8MonstersWolves642000002320380.6672340630011085867198896979100050219594013323626.09%18288.89%01594308651.65%1546305450.62%715137951.85%195813391922611107253448.6%11.6%90.9%102.5FUN
9MonstersEagles1000100043121.00047110011085867368969791000502871022300.00%50100.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253457.1%11.1%89.3%100.4FUN
10MonstersPhantoms633000002524160.5002545701011085867213896979100050212585014324729.17%25580.00%21594308651.65%1546305450.62%715137951.85%195813391922611107253448.6%11.7%88.7%100.4FUN
11MonstersWolf Pack624000001925-640.3331937561011085867190896979100050237734413214321.43%19573.68%11594308651.65%1546305450.62%715137951.85%195813391922611107253444.4%10.0%89.5%99.5FUN
12Monstersislanders734000002125-460.4292138590011085867225896979100050261774716518211.11%19384.21%01594308651.65%1546305450.62%715137951.85%195813391922611107253446.3%9.3%90.4%99.8FUN
13MonstersIceHogs1010000025-300.0002460011085867358969791000503571434200.00%7442.86%01594308651.65%1546305450.62%715137951.85%195813391922611107253466.7%5.7%85.7%91.4Unlucky
14MonstersGriffins32000100109150.8331015250011085867868969791000501384136775120.00%17382.35%01594308651.65%1546305450.62%715137951.85%195813391922611107253460.0%11.6%93.5%105.1LUCKY
15MonstersBarracuda1100000063321.00061117001108586740896979100050281222022100.00%000.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253457.1%15.0%89.3%104.3FUN
16MonstersCondors1100000070721.000712190111085867538969791000502642295240.00%10100.00%01594308651.65%1546305450.62%715137951.85%1958133919226111072534100.0%13.2%100.0%113.2LUCKY
17MonstersIowa Wild1010000046-200.0004812001108586731896979100050265225200.00%10100.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253440.0%12.9%76.9%89.8FUN
18MonstersReign1100000042221.0004610001108586744896979100050331412185240.00%40100.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253450.0%9.1%93.9%103.0LUCKY
19MonstersThunderbirds2100000188030.75081523001108586771896979100050852527434250.00%9188.89%01594308651.65%1546305450.62%715137951.85%195813391922611107253446.2%11.3%90.6%101.9FUN
20MonstersWranglers1100000053221.00059140011085867458969791000502778175120.00%4175.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253466.7%11.1%88.9%100.0FUN
21MonstersGulls1010000034-100.000369001108586734896979100050356822400.00%4250.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253460.0%8.8%88.6%97.4Unlucky
22MonstersTexas Stars1100000052321.000581300110858673789697910005026146223133.33%30100.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253466.7%13.5%92.3%105.8LUCKY
23MonstersCanucks1010000015-400.000112001108586734896979100050435819100.00%40100.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253416.7%2.9%88.4%91.3Unlucky
24MonstersComets624000001423-940.3331423370011085867206896979100050235506213422418.18%31777.42%01594308651.65%1546305450.62%715137951.85%195813391922611107253438.5%6.8%90.2%97.0Unlucky
25MonstersW-B/Scranton Penguins642000002421380.6672445690011085867230896979100050203495614024312.50%27870.37%01594308651.65%1546305450.62%715137951.85%195813391922611107253461.8%10.4%89.7%100.1FUN
26MonstersRoadrunners301010011011-130.50010203000110858671028969791000501052757661100.00%9188.89%01594308651.65%1546305450.62%715137951.85%195813391922611107253450.0%9.8%89.5%99.3FUN
27MonstersCrunch22000000117441.000112031001108586760896979100050732218395480.00%9188.89%01594308651.65%1546305450.62%715137951.85%195813391922611107253453.8%18.3%90.4%108.7FUN
28MonstersAdmirals1010000006-600.00000000110858673389697910005048121019200.00%4175.00%01594308651.65%1546305450.62%715137951.85%19581339192261110725340.0%0.0%87.5%87.5Unlucky
29MonstersMoose1100000075221.0007132000110858674689697910005036610227342.86%4175.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253450.0%15.2%86.1%101.3FUN
30MonstersSilver Knights1000001043121.000461000110858673789697910005036910263133.33%5180.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253460.0%10.8%91.7%102.5LUCKY
31MonstersFirebirds1010000024-200.000246101108586741896979100050335419400.00%2150.00%01594308651.65%1546305450.62%715137951.85%195813391922611107253440.0%4.9%87.9%92.8Unlucky
_Vs Division43202100110146160-14430.5001462634092011085867152089697910005015844173279731542717.53%1533577.12%31594308651.65%1546305450.62%715137951.85%195813391922611107253448.8%9.6%89.9%99.5FUN
_Vs Conference63283000311213241-28620.49221337859120110858672184896979100050232161451314472254118.22%2366273.73%41594308651.65%1546305450.62%715137951.85%195813391922611107253449.0%9.8%89.6%99.4FUN
_Since Last GM Reset82353702323285311-26840.51228550879331110858672903896979100050297177970318702885519.10%3027575.17%41594308651.65%1546305450.62%715137951.85%195813391922611107253449.4%9.8%89.5%99.3FUN
Total82353702323285311-26840.51228550879331110858672903896979100050297177970318702885519.10%3027575.17%41594308651.65%1546305450.62%715137951.85%195813391922611107253449.4%9.8%89.5%99.3FUN

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 3086
Neutral Zone Start 1379
Defensive Zone Start 3054
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3855
Faceoffs Lost 3664
Team Average Shots after League Average Shots after
1st Period 10.99.57
2nd Period 22.920.31
3rd Period 35.130.68
Overtime 35.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.30.64
2nd Period 2.41.65
3rd Period 3.42.67
Overtime 3.52.83
Even Strenght Goal 223
PP Goal 55
PK Goal 4
Empty Net Goal 3
Home Away
Win 2217
Lost 1621
Overtime Lost 33
PP Attempt 288
PP Goal 55
PK Attempt 302
PK Goal Against 75
Home
Shots For 35.4
Shots Against 36.2
Goals For 3.5
Goals Against 3.8
Hits 22.8
Shots Blocked 9.5
Pim 8.6
Schedule
DateMatchup Result Detail
Wed, Oct 19MonstersHER@MonstersCLEHER2,CLE5RECAP
Thu, Oct 20MonstersCLE@MonstersBRICLE2,BRI5RECAP
Sat, Oct 22MonstersHAR@MonstersCLEHAR5,CLE3RECAP
Tue, Oct 25MonstersUTI@MonstersCLEUTI3,CLE5RECAP
Thu, Oct 27MonstersCLE@MonstersLEVCLE5,LEV4RECAP
Sat, Oct 29MonstersCLE@MonstersHERCLE4,HER5 (OT)RECAP
Tue, Nov 1MonstersCHW@MonstersCLECHW1,CLE5RECAP
Sat, Nov 5MonstersCHW@MonstersCLECHW5,CLE3RECAP
Sun, Nov 6MonstersCLE@MonstersHARCLE5,HAR4RECAP
Wed, Nov 9MonstersLEV@MonstersCLELEV3,CLE5RECAP
Thu, Nov 10MonstersCLE@MonstersGRGCLE4,GRG5 (OT)RECAP
Mon, Nov 14MonstersCLE@MonstersTUCCLE2,TUC3RECAP
Wed, Nov 16MonstersBRI@MonstersCLEBRI6,CLE2RECAP
Fri, Nov 18MonstersCLE@MonstersCHACLE4,CHA2RECAP
Mon, Nov 21MonstersWBS@MonstersCLEWBS2,CLE5RECAP
Wed, Nov 23MonstersWBS@MonstersCLEWBS7,CLE2RECAP
Thu, Nov 24MonstersCLE@MonstersCHWCLE3,CHW5RECAP
Sun, Nov 27MonstersCHA@MonstersCLECHA3,CLE4RECAP
Tue, Nov 29MonstersCLE@MonstersHARCLE1,HAR5RECAP
Sat, Dec 3MonstersCLE@MonstersMARCLE1,MAR6RECAP
Sun, Dec 4MonstersUTI@MonstersCLEUTI5,CLE2RECAP
Wed, Dec 7MonstersCLE@MonstersTUCCLE4,TUC3 (OT)RECAP
Thu, Dec 8MonstersBNG@MonstersCLEBNG5,CLE4RECAP
Tue, Dec 13MonstersBRI@MonstersCLEBRI1,CLE6RECAP
Wed, Dec 14MonstersCLE@MonstersUTICLE1,UTI4RECAP
Sat, Dec 17MonstersUTI@MonstersCLEUTI1,CLE3RECAP
Sun, Dec 18MonstersCLE@MonstersUTICLE2,UTI6RECAP
Tue, Dec 20MonstersCLE@MonstersSJBCLE6,SJB3RECAP
Thu, Dec 22MonstersSDG@MonstersCLESDG4,CLE3RECAP
Tue, Dec 27MonstersTEX@MonstersCLETEX2,CLE5RECAP
Sat, Dec 31MonstersSPR@MonstersCLESPR3,CLE2 (SO)RECAP
Mon, Jan 2MonstersCLE@MonstersBRICLE1,BRI2RECAP
Wed, Jan 4MonstersCHW@MonstersCLECHW3,CLE4RECAP
Sun, Jan 8MonstersCLE@MonstersWBSCLE5,WBS3RECAP
Tue, Jan 10MonstersIOW@MonstersCLEIOW6,CLE4RECAP
Thu, Jan 12MonstersCLE@MonstersABBCLE1,ABB5RECAP
Sat, Jan 14MonstersROC@MonstersCLEROC4,CLE5RECAP
Mon, Jan 16MonstersCLE@MonstersHERCLE5,HER3RECAP
Tue, Jan 17MonstersPRO@MonstersCLEPRO6,CLE1RECAP
Fri, Jan 20MonstersCLE@MonstersUTICLE1,UTI4RECAP
Mon, Jan 23MonstersLVL@MonstersCLELVL2,CLE1RECAP
Wed, Jan 25MonstersCLE@MonstersBRICLE3,BRI2RECAP
Thu, Jan 26MonstersLVL@MonstersCLELVL2,CLE5RECAP
Sat, Jan 28MonstersCLE@MonstersLVLCLE3,LVL7RECAP
Sun, Jan 29MonstersEAG@MonstersCLEEAG3,CLE4 (OT)RECAP
Wed, Feb 1MonstersCLE@MonstersBRICLE3,BRI6RECAP
Thu, Feb 2MonstersSYR@MonstersCLESYR3,CLE5RECAP
Sat, Feb 4MonstersCLE@MonstersCHACLE5,CHA6RECAP
Sun, Feb 5MonstersMIL@MonstersCLEMIL6,CLE0RECAP
Wed, Feb 8MonstersCLE@MonstersCHWCLE4,CHW3RECAP
Sun, Feb 12MonstersCLE@MonstersFCVCLE2,FCV4RECAP
Mon, Feb 13MonstersWRA@MonstersCLEWRA3,CLE5RECAP
Wed, Feb 15MonstersLEV@MonstersCLELEV6,CLE4RECAP
Sun, Feb 19MonstersCLE@MonstersRFDCLE2,RFD5RECAP
Tue, Feb 21MonstersSPR@MonstersCLESPR5,CLE6RECAP
Thu, Feb 23MonstersCLE@MonstersCHWCLE4,CHW3RECAP
Fri, Feb 24MonstersBRI@MonstersCLEBRI3,CLE4RECAP
Sun, Feb 26MonstersCLE@MonstersROCCLE1,ROC5RECAP
Wed, Mar 1MonstersGRG@MonstersCLEGRG3,CLE4RECAP
Thu, Mar 2MonstersCLE@MonstersHENCLE4,HEN3 (SO)RECAP
Sun, Mar 5MonstersCLE@MonstersONTCLE4,ONT2RECAP
Tue, Mar 7MonstersBAK@MonstersCLEBAK0,CLE7RECAP
Thu, Mar 9MonstersCLE@MonstersHERCLE4,HER3 (SO)RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Sat, Mar 11MonstersHER@MonstersCLEHER5,CLE0RECAP
Mon, Mar 13MonstersCLE@MonstersPROCLE3,PRO4RECAP
Wed, Mar 15MonstersLEV@MonstersCLELEV4,CLE6RECAP
Fri, Mar 17MonstersCLE@MonstersMANCLE7,MAN5RECAP
Mon, Mar 20MonstersGRG@MonstersCLEGRG1,CLE2RECAP
Wed, Mar 22MonstersCLE@MonstersBNGCLE2,BNG4RECAP
Thu, Mar 23MonstersHAR@MonstersCLEHAR2,CLE1RECAP
Sat, Mar 25MonstersCLE@MonstersTUCCLE4,TUC5 (SO)RECAP
Mon, Mar 27MonstersCLE@MonstersHARCLE5,HAR3RECAP
Wed, Mar 29MonstersHER@MonstersCLEHER4,CLE2RECAP
Mon, Apr 3MonstersWBS@MonstersCLEWBS2,CLE3RECAP
Wed, Apr 5MonstersMAR@MonstersCLEMAR4,CLE3 (OT)RECAP
Fri, Apr 7MonstersCLE@MonstersSYRCLE6,SYR4RECAP
Sun, Apr 9MonstersCLE@MonstersWBSCLE6,WBS2RECAP
Mon, Apr 10MonstersMAR@MonstersCLEMAR5,CLE4 (SO)RECAP
Thu, Apr 13MonstersCLE@MonstersWBSCLE3,WBS5RECAP
Sat, Apr 15MonstersCLE@MonstersLEVCLE2,LEV3RECAP
Sun, Apr 16MonstersHAR@MonstersCLEHAR6,CLE4RECAP
Tue, Apr 18MonstersCLE@MonstersLEVCLE3,LEV4RECAP

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,160,513$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityCleveland
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price27$16$$$$
Attendance7871938884
Attendance PCT96.00%94.84%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2868 - 95.61% 99,850$4,093,862$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,160,513$ 2,942,247$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
524,898$ 0$ 519,336$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 16,992$ 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

Wolf Pack48-29-5, 101pts64Final
Monsters39-37-6, 84pts

Monsters39-37-6, 84pts34Final
Phantoms36-43-3, 75pts

Monsters39-37-6, 84ptsWed, Apr 19
Phantoms36-43-3, 75pts

Monsters39-37-6, 84ptsFri, Oct 21
islanders37-36-9, 83pts

Wolf Pack48-29-5, 101ptsSun, Oct 23
Monsters39-37-6, 84pts

TRANSACTIONS



 

Team Info

Monsters
Head CoachStéphane Richer
DivisionMETROPOLITAINE
CityCleveland
Stadium Capacity3,000

Monsters Affiliation

Monsters
General ManagerEric Henault
Head CoachEmily Castonguay
StadiumNationwide Arena
Capacity17,000

Team Leaders


GOALS
Cedric Paquette
MonstersMonsters
33
GOALS
POINTS
Pierre-Olivier Joseph
MonstersMonsters
93
POINTS
WINS
Erik Kallgren
MonstersMonsters
22
WINS
Expanded Player Leaderboard

Team Stats


Goals For
285
3.48 GFG
Goals Against
311
3.79 GAA
Power Play Percentage
19.1%
55 GF
Penalty Kill Percentage
75.2%
75 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain