MonstersCleveland Monsters
14-7-2, 30pts · 4th in Eastern
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Sheldon Dries24C99.006839775767717468745764726077750517331800,000$/1yrs
Logan Brown22C100.006441855993706764686260686170690407327775,000$/1yrs
Connor Dewar0LW99.0080408860697584587559627660686705173261,250,000$/3yrs
Viljami Marjala (R)0C/LW100.005937946571708867457158616461610517322872,500$/2yrs
Cole Koepke0LW/RW100.008336916077748857555864616070690517227800,000$/1yrs
Jack Devine (R)0RW100.007039756171689460456357646059570517022950,000$/3yrs
Jack Williams0LW/RW100.006939776071688957376060656063610517023923,750$/1yrs
Alex Bump (R)0LW100.005939886175679358375661636059580516922950,000$/3yrs
Shane Bowers15RW100.006238885373646764355454685468670516826775,000$/1yrs
Liam Foudy19C100.006233955576726758556350565466660516825950,000$/1yrs
Tyler Tullio (R)0RW100.007040755572646761385654645563600516823800,000$/1yrs
Milo Roelens0C100.007342705491626660615155645361580516722870,000$/1yrs
Jack St. Ivany0D99.007946695580827155305550805368650517126800,000$/1yrs
Alex Petrovic0D99.007241725187676750305752755580780517033800,000$/1yrs
Kevin Gravel0D100.006340874985666648305452755380790486933800,000$/1yrs
Dysin Mayo0D100.008141555074666749305653715473690516929850,000$/2yrs
Caleb MacDonald0D100.008444595299638852305453655361570486823922,500$/2yrs
Marshall Rifai0D100.008042585080646648305551695370660516727775,000$/2yrs
Kirill Kudryavtsev (R)0D100.006239885276636650305752635559580516721850,000$/1yrs
Scratches
Luke Glendening0C/LW/RW100.0073348955737490558553607658868503071361,000,000$/1yrs
Emil Bemstrom0C/RW100.006433935976737659596062576068670207126800,000$/2yrs
Reece Newkirk0C100.006839775370636562395452665364620286724775,000$/1yrs
Jaroslav Chmelar (R)0RW100.008141625781648254495755645659550206722867,500$/2yrs
Noah Philp0C100.006833955580716750746050575069680206627775,000$/1yrs
Daniel Torgersson (R)0LW/RW100.006140895286626562455351655263610206623775,000$/1yrs
Fabian Wagner (R)0C100.006138895569626659435255635459580206621858,333$/1yrs
Ryan Francis (R)0C100.006038904868586961674747644761600206323775,000$/1yrs
Cade Webber (R)0D100.006741804790626547305251665164620206524875,000$/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
Colten Ellis4599.00757072747976777576747667670547825800,000$/1yrs
Isak Posch0100.00737469876273737373737364710577723872,500$/2yrs
Scratches
Ty Young0100.00735870757376737376767460590317521825,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan63677169767075CAN545500,000$
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 AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Viljami MarjalaMonstersMonsters (CBJ)C/LW23711184001056154812.50%518.3323574000362248.13%18700000.8500
2Sheldon DriesMonstersMonsters (CBJ)C23105151603085296311.76%821.3632567101813156.33%66400000.6100
3Jack WilliamsMonstersMonsters (CBJ)LW/RW2341014880445012458.00%517.320227200000042.31%2600000.7000
4Connor DewarMonstersMonsters (CBJ)LW2357121180507526566.67%1221.0532570000762051.22%4100000.5000
5Shane BowersMonstersMonsters (CBJ)RW2357125401648121810.42%412.650001100000117.39%2300000.8200
6Cole KoepkeMonstersMonsters (CBJ)LW/RW2339124160516219464.84%519.4303370000472051.95%7700000.5400
7Liam FoudyMonstersMonsters (CBJ)C235611520830123216.67%217.1612372000110047.12%36500000.5600
8Jack St. IvanyMonstersMonsters (CBJ)D2329113160604024265.00%3323.651347900070100.00%000000.4000
9Alex PetrovicMonstersMonsters (CBJ)D233811116031369178.33%3023.252247600066000.00%000000.4100
10Dysin MayoMonstersMonsters (CBJ)D2336902006923111013.04%2320.520336401153100.00%000000.3800
11Kirill KudryavtsevMonstersMonsters (CBJ)D2327911002124416.67%1515.97000500023200.00%000000.4900
12Jack DevineMonstersMonsters (CBJ)RW230994160353919440.00%416.26000000000033.33%2400000.4800
13Caleb MacDonaldMonstersMonsters (CBJ)D233691129559172717.65%2815.0000000008100.00%000000.5200
14Logan BrownMonstersMonsters (CBJ)C12448500102571716.00%210.03000000010063.76%14900001.3300
15Kevin GravelMonstersMonsters (CBJ)D23178011552213134.55%2220.891346401159000.00%000000.3300
16Alex BumpMonstersMonsters (CBJ)LW2333602032681811.54%17.50000000050050.00%1000000.7000
17Milo RoelensMonstersMonsters (CBJ)C23235118026237318.70%112.590000000220056.54%28300000.3500
18Tyler TullioMonstersMonsters (CBJ)RW23022-42010155120.00%24.58000100000042.86%700000.3800
19Reece NewkirkMonstersMonsters (CBJ)C111011000101100.00%00.42000000010025.00%400004.3800
20Marshall RifaiMonstersMonsters (CBJ)D23000-10013110.00%10.7500040001000.00%000000.0000
Team Total or Average4376311918260184105206882355099.16%20315.4613253873612356614452.90%186000000.5400
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
1Colten EllisMonstersMonsters (CBJ)147520.9202.2582620313890010.0000148132
2Isak PoschMonstersMonsters (CBJ)96200.9242.0649620172250000.0000815111
3Ty YoungMonstersMonsters (CBJ)11000.9172.0060002240000.000010000
Team Total or Average2414720.9222.17138340506380010.00002323243
Salary
Player Name POS Age Cap Hit 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28
Alex Bump LW22950,000$950,000$ 950,000$ 950,000$ RFA
Alex Petrovic D33800,000$800,000$ UFA
Cade Webber D24875,000$875,000$ RFA
Caleb MacDonald D23922,500$922,500$ 922,500$ RFA
Cole Koepke LW/RW27800,000$800,000$ UFA
Colten Ellis G25800,000$800,000$ RFA
Connor Dewar LW261,250,000$1,250,000$ 1,250,000$ 1,250,000$ UFA
Daniel Torgersson LW/RW23775,000$775,000$ RFA
Dysin Mayo D29850,000$850,000$ 850,000$ UFA
Emil Bemstrom C/RW26800,000$800,000$ 800,000$ UFA
Fabian Wagner C21858,333$858,333$ RFA
Isak Posch G23872,500$872,500$ 872,500$ RFA
Jack Devine RW22950,000$950,000$ 950,000$ 950,000$ RFA
Jack St. Ivany D26800,000$800,000$ RFA
Jack Williams LW/RW23923,750$923,750$ RFA
Jaroslav Chmelar RW22867,500$867,500$ 867,500$ RFA
Kevin Gravel D33800,000$800,000$ UFA
Kirill Kudryavtsev D21850,000$850,000$ RFA
Liam Foudy C25950,000$950,000$ RFA
Logan Brown C27775,000$775,000$ UFA
Luke Glendening C/LW/RW361,000,000$1,000,000$ UFA
Marshall Rifai D27775,000$775,000$ 775,000$ UFA
Milo Roelens C22870,000$870,000$ RFA
Noah Philp C27775,000$775,000$ UFA
Reece Newkirk C24775,000$775,000$ RFA
Ryan Francis C23775,000$775,000$ RFA
Shane Bowers RW26775,000$775,000$ RFA
Sheldon Dries C31800,000$800,000$ UFA
Ty Young G21825,000$825,000$ 825,000$ RFA
Tyler Tullio RW23800,000$800,000$ RFA
Viljami Marjala C/LW22872,500$872,500$ 872,500$ RFA

Lines
Forward Lines


# - Connor Dewar


# - Sheldon Dries


# - Jack Devine


# - Cole Koepke


# - Liam Foudy


# - Jack Williams


# - Viljami Marjala


# - Logan Brown


# - Shane Bowers


# - Alex Bump


# - Milo Roelens


# - Tyler Tullio

Defensive Pairings


# - Alex Petrovic


# - Jack St. Ivany


# - Kevin Gravel


# - Dysin Mayo


# - Caleb MacDonald


# - Kirill Kudryavtsev

1st Power Play Unit


# - Connor Dewar


# - Viljami Marjala


# - Jack Williams


# - Jack St. Ivany


# - Alex Petrovic

2nd Power Play Unit


# - Cole Koepke


# - Sheldon Dries


# - Liam Foudy


# - Kevin Gravel


# - Dysin Mayo

Goalies


# - Colten Ellis


# - Isak Posch

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
1MonstersPhantoms1100000042221.000481200251622042229188267427662610220.00%30100.00%041078352.36%39674453.23%17832454.94%55437152117730915650.0%9.5%92.6%102.1LUCKY
2MonstersComets4220000086240.50081523002516220130229188267412136231041218.33%70100.00%041078352.36%39674453.23%17832454.94%55437152117730915653.8%6.2%95.0%101.2DULL
3MonstersSenators1010000013-200.0001231025162201922918826742791721200.00%6266.67%041078352.36%39674453.23%17832454.94%55437152117730915650.0%5.3%88.9%94.2Unlucky
4MonstersGriffins32100000119240.66711213200251622010122918826747320286815213.33%12191.67%041078352.36%39674453.23%17832454.94%55437152117730915652.9%10.9%87.7%98.6FUN
5MonstersRocket2200000083541.000813210025162206222918826745225104411327.27%50100.00%041078352.36%39674453.23%17832454.94%55437152117730915662.5%12.9%94.2%107.1LUCKY
6MonstersBears1100000021121.00024600251622028229188267425610172150.00%50100.00%041078352.36%39674453.23%17832454.94%55437152117730915650.0%7.1%96.0%103.1DULL
7MonstersReign1100000042221.00048120025162202222918826742571024200.00%5180.00%041078352.36%39674453.23%17832454.94%55437152117730915680.0%18.2%92.0%110.2LUCKY
8MonstersAdmirals1100000031221.00036900251622027229188267430108217342.86%40100.00%041078352.36%39674453.23%17832454.94%5543715211773091560.0%11.1%96.7%107.8LUCKY
9MonstersCrunch2100010076130.7507132000251622071229188267459231841600.00%9277.78%041078352.36%39674453.23%17832454.94%55437152117730915663.6%9.9%89.8%99.7FUN
10MonstersThunderbirds1100000042221.0004711002516220302291882674247821200.00%40100.00%041078352.36%39674453.23%17832454.94%55437152117730915666.7%13.3%91.7%105.0LUCKY
11MonstersAmericans2010010014-310.25012300251622066229188267477222036800.00%9188.89%041078352.36%39674453.23%17832454.94%55437152117730915625.0%1.5%94.8%96.3DULL
12MonstersCheckers1100000042221.00048120025162202822918826742811627200.00%2150.00%041078352.36%39674453.23%17832454.94%55437152117730915680.0%14.3%92.9%107.1LUCKY
13MonstersMarlies2110000057-220.50051015002516220402291882674521418477114.29%9366.67%141078352.36%39674453.23%17832454.94%55437152117730915650.0%12.5%86.5%99.0FUN
14MonstersBarracuda1010000013-200.000123002516220222291882674197623200.00%220.00%041078352.36%39674453.23%17832454.94%55437152117730915650.0%4.5%84.2%88.8Unlucky
_Vs Division686002001495181.5001427410025162202002291882674173483914724416.67%150100.00%041078352.36%39674453.23%17832454.94%55437152117730915652.6%7.0%94.8%101.8DULL
_Vs Conference2012600200554510260.650551031581025162206172291882674565179164452771012.99%711085.92%141078352.36%39674453.23%17832454.94%55437152117730915656.3%8.9%92.0%100.9Unlucky
_Since Last GM Reset2314700200635112300.652631191821025162206882291882674639203188520881314.77%821384.15%141078352.36%39674453.23%17832454.94%55437152117730915656.8%9.2%92.0%101.2LUCKY
Total2314700200635112300.652631191821025162206882291882674639203188520881314.77%821384.15%141078352.36%39674453.23%17832454.94%55437152117730915656.8%9.2%92.0%101.2LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 783
Neutral Zone Start 324
Defensive Zone Start 744
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 984
Faceoffs Lost 867
Team Average Shots after League Average Shots after
1st Period 10.09.57
2nd Period 18.120.31
3rd Period 29.730.68
Overtime 29.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 1.81.65
3rd Period 2.72.67
Overtime 2.72.83
Even Strenght Goal 48
PP Goal 13
PK Goal 1
Empty Net Goal 1
Home Away
Win 77
Lost 34
Overtime Lost 11
PP Attempt 88
PP Goal 13
PK Attempt 82
PK Goal Against 13
Home
Shots For 29.9
Shots Against 27.8
Goals For 2.7
Goals Against 2.2
Hits 22.6
Shots Blocked 8.8
Pim 8.2
Schedule
DateMatchup Result Detail
2025-10-09MonstersMonsters@MonstersRocketMonsters4,Rocket1RECAP
2025-10-10MonstersCrunch@MonstersMonstersCrunch3,Monsters5RECAP
2025-10-13MonstersMonsters@MonstersCometsMonsters0,Comets2RECAP
2025-10-16MonstersAmericans@MonstersMonstersAmericans2,Monsters1 (OT)RECAP
2025-10-18MonstersSenators@MonstersMonstersSenators3,Monsters1RECAP
2025-10-19MonstersMonsters@MonstersCrunchMonsters2,Crunch3 (OT)RECAP
2025-10-21MonstersMonsters@MonstersMarliesMonsters4,Marlies3RECAP
2025-10-24MonstersAmericans@MonstersMonstersAmericans2,Monsters0RECAP
2025-10-26MonstersReign@MonstersMonstersReign2,Monsters4RECAP
2025-10-28MonstersMonsters@MonstersThunderbirdsMonsters4,Thunderbirds2RECAP
2025-10-30MonstersMonsters@MonstersMarliesMonsters1,Marlies4RECAP
2025-10-31MonstersComets@MonstersMonstersComets2,Monsters6RECAP
2025-11-04MonstersGriffins@MonstersMonstersGriffins2,Monsters3RECAP
2025-11-06MonstersMonsters@MonstersGriffinsMonsters4,Griffins6RECAP
2025-11-10MonstersMonsters@MonstersCometsMonsters0,Comets1RECAP
2025-11-12MonstersRocket@MonstersMonstersRocket2,Monsters4RECAP
2025-11-14MonstersMonsters@MonstersAdmiralsMonsters3,Admirals1RECAP
2025-11-16MonstersMonsters@MonstersPhantomsMonsters4,Phantoms2RECAP
2025-11-17MonstersBears@MonstersMonstersBears1,Monsters2RECAP
2025-11-20MonstersMonsters@MonstersCometsMonsters2,Comets1RECAP
2025-11-21MonstersCheckers@MonstersMonstersCheckers2,Monsters4RECAP
2025-11-27MonstersBarracuda@MonstersMonstersBarracuda3,Monsters1RECAP
2025-11-30MonstersMonsters@MonstersGriffinsMonsters4,Griffins1RECAP
2025-12-01MonstersMarlies@MonstersMonsters
2025-12-05MonstersMonsters@MonstersBruins
2025-12-07MonstersReign@MonstersMonsters
2025-12-12MonstersWild@MonstersMonsters
2025-12-14MonstersMonsters@MonstersMarlies
2025-12-16MonstersEagles@MonstersMonsters
2025-12-18MonstersMonsters@MonstersCanucks
2025-12-20MonstersMonsters@MonstersFirebirds
2025-12-22MonstersRoadrunners@MonstersMonsters
2025-12-24MonstersMonsters@MonstersPenguins
2025-12-27MonstersSenators@MonstersMonsters
2025-12-29MonstersMonsters@MonstersSenators
2025-12-31MonstersMonsters@MonstersWolves
2026-01-01MonstersMarlies@MonstersMonsters
2026-01-05MonstersCondors@MonstersMonsters
2026-01-07MonstersMonsters@MonstersIslanders
2026-01-09MonstersMonsters@MonstersCheckers
2026-01-11MonstersIslanders@MonstersMonsters
2026-01-13MonstersMonsters@MonstersIceHogs
2026-01-17MonstersPhantoms@MonstersMonsters
2026-01-20MonstersBruins@MonstersMonsters
2026-01-22MonstersMonsters@MonstersWranglers
2026-01-25MonstersComets@MonstersMonsters
2026-01-28MonstersMonsters@MonstersStars
2026-01-31MonstersGulls@MonstersMonsters
2026-02-03MonstersCrunch@MonstersMonsters
2026-02-05MonstersMonsters@MonstersAmericans
2026-02-07MonstersAmericans@MonstersMonsters
2026-02-10MonstersMonsters@MonstersCrunch
2026-02-12MonstersMonsters@MonstersSilver Knights
2026-02-14MonstersMoose@MonstersMonsters
2026-02-16MonstersMonsters@MonstersAmericans
2026-02-18MonstersMonsters@MonstersRocket
2026-02-19MonstersMonsters@MonstersBears
2026-02-20MonstersThunderbirds@MonstersMonsters
2026-02-24MonstersCrunch@MonstersMonsters
2026-02-28MonstersMonsters@MonstersWolf Pack
2026-03-01MonstersMonsters@MonstersSenators
2026-03-03MonstersFirebirds@MonstersMonsters
2026-03-06MonstersRocket@MonstersMonsters
Trade Deadline --- Trades can’t be done after this day is simulated!
2026-03-08MonstersMonsters@MonstersRoadrunners
2026-03-11MonstersWolf Pack@MonstersMonsters
2026-03-13MonstersMonsters@MonstersThunderbirds
2026-03-15MonstersSenators@MonstersMonsters
2026-03-19MonstersMonsters@MonstersRocket
2026-03-21MonstersGriffins@MonstersMonsters
2026-03-27MonstersPenguins@MonstersMonsters
2026-03-31MonstersGriffins@MonstersMonsters
2026-04-01MonstersMonsters@MonstersCrunch

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
2,493,708$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityCleveland
Capacity3000
Season Ticket Holders0%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price35$0$$$$
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
25 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
2,493,708$ 2,493,708$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
871,606$ 13,854$ 721,594$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 138 16,632$ 2,095,632$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
2,095,632$ 0$ 0$ 0$

Sponsors
TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
Emil Bemstrom is suspended for 59 more games.
Daniel Torgersson is suspended for 59 more games.

Game Center

Barracuda15-9-0, 30pts31Final
Monsters14-7-2, 30pts

Monsters14-7-2, 30pts41Final
Griffins15-10-0, 30pts

Monsters14-7-2, 30ptsMon, Dec 01
Griffins15-10-0, 30pts

Crunch13-10-1, 27ptsSat, Oct 11
Monsters14-7-2, 30pts

Monsters14-7-2, 30ptsTue, Oct 14
Comets13-9-0, 26pts

TRANSACTIONS



 

Team Info

Monsters
Head CoachGlen Gulutzan
DivisionNorth
CityCleveland
Stadium Capacity3,000

Monsters Affiliation

Monsters
General ManagerÉtienne Bourget
Head CoachLane Lambert
StadiumNationwide Arena
Capacity18,000

Team Leaders


GOALS
Sheldon Dries
MonstersMonsters
10
GOALS
POINTS
Viljami Marjala
MonstersMonsters
18
POINTS
WINS
Colten Ellis
MonstersMonsters
7
WINS
Expanded Player Leaderboard

Team Stats


Goals For
63
2.74 GFG
Goals Against
51
2.22 GAA
Power Play Percentage
14.8%
13 GF
Penalty Kill Percentage
84.1%
13 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain