MonstersCleveland Monsters
9-9-1, 19pts · 14th 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
Cole Koepke0LW/RW100.008033876877749061556268576469680407526800,000$/2yrs
Christian Fischer0C/LW/RW96.0074378761847790606062626961716903973271,200,000$/2yrs
Emil Bemstrom0C/RW100.006033946375758262596463586367660437325775,000$/1yrs
Jere Innala0LW100.006437886165718563365967676368670437326870,000$/1yrs
Sheldon Dries24C99.007244846067757560795866626376740437230800,000$/2yrs
Mathieu Olivier24RW99.008769575784748460576059706071670447227875,000$/1yrs
Sandis Vilmanis (R)0LW100.005939886476697663486066606358560437221855,000$/3yrs
Nathan Walker0LW100.007744855570738160756060656076750467130900,000$/1yrs
Liam Foudy19C100.006633956076757760586060646065650317124950,000$/2yrs
Noah Philp0C100.007241705580657763665357665566630286926775,000$/1yrs
Milo Roelens0C100.008943506284688759365452626159540446821870,000$/2yrs
Jaroslav Chmelar (R)0RW100.008141625781648254495755645659550356721867,500$/3yrs
Nick Blankenburg77D98.007632856066867261306462696169670437526800,000$/2yrs
Calle Rosen48D97.005832935975817456306365606076750437330900,000$/1yrs
Dennis Gilbert15D99.007864745585757457306155645671690407228775,000$/1yrs
Kevin Gravel0D100.006833935584796951305450635079780406932800,000$/2yrs
Kirill Kudryavtsev (R)0D100.005638926277666057305548626056550336820850,000$/2yrs
Cade Webber (R)0D100.007241735189629052305350675263600436723875,000$/2yrs
Alex Petrovic0D100.007934995589776550305050495078780436632800,000$/2yrs
Scratches
Logan Brown22C100.006434905790737058716058555869680216926950,000$/1yrs
Chase Pearson12C100.007040744982617365775149685068650216627
Shane Bowers15RW100.006038925275638161685053655264640396625775,000$/2yrs
Tyler Tullio (R)0RW100.006438845470628559665254635359570346622823,333$/1yrs
Matej Pekar (R)12LW100.007741635074607162665445654962590216524850,000$/1yrs
Daniel Torgersson (R)0LW/RW100.005939935183608660375050635059580346522867,500$/1yrs
Reece Newkirk0C100.006839775070597161675048644961580216423775,000$/1yrs
Ryan Francis (R)0C100.006038904868586961674747644761600216322
Fabian Wagner (R)0C100.005537995270586048604242585055550215920858,333$/2yrs
Scott Morrow (R)0D100.006133995578866550305050585060600216522916,667$/2yrs
Dmitri Samorukov58D100.006339854677618845305148665064630216425900,000$/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 Ellis45100.00766972747975777675757664640447824800,000$/2yrs
Isaac Poulter0100.00747671717875747475757562630407723950,000$/1yrs
Scratches
Eric Comrie098.00677070746666707672747073770387529825,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Lane Lambert93848295787486CAN6051,000,000$
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
1Nathan WalkerMonstersMonsters (CBJ)LW196101651953746203513.04%318.3704444000210046.67%3000000.9200
2Jere InnalaMonstersMonsters (CBJ)LW1961016220117324498.22%517.0121332000192144.44%5400000.9900
3Sheldon DriesMonstersMonsters (CBJ)C196814480316722308.96%316.9513445000270059.08%43500000.8711
4Mathieu OlivierMonstersMonsters (CBJ)RW196814-7215816817368.82%819.1242643000291051.28%3900000.7700
5Nick BlankenburgMonstersMonsters (CBJ)D1931114-2200594011367.50%4324.031235700044000.00%000000.6100
6Christian FischerMonstersMonsters (CBJ)C/LW/RW1121012-160123510285.71%522.1604427000360046.26%21400000.9801
7Dennis GilbertMonstersMonsters (CBJ)D191910-119543246184.17%1420.600444000039000.00%000000.5100
8Emil BemstromMonstersMonsters (CBJ)C/RW19369-50044212487.14%219.2222453000390049.31%29000000.4900
9Liam FoudyMonstersMonsters (CBJ)C1653842062972017.24%113.35000100000046.69%25700000.7500
10Calle RosenMonstersMonsters (CBJ)D19347-48010327169.38%2124.342135600051000.00%000000.3000
11Cole KoepkeMonstersMonsters (CBJ)LW/RW2025744024268247.69%114.2510118000221051.35%3700000.4901
12Sandis VilmanisMonstersMonsters (CBJ)LW19347-10014910436.12%412.24000000000043.75%9600000.6000
13Shane BowersMonstersMonsters (CBJ)RW101566001144127.14%011.32000100000075.00%800001.0600
14Tyler TullioMonstersMonsters (CBJ)RW72465206183811.11%015.800002100000066.67%600001.0800
15Kevin GravelMonstersMonsters (CBJ)D190444002116390.00%2717.14000300045000.00%000000.2500
16Cade WebberMonstersMonsters (CBJ)D191341802919575.26%2619.241234000014000.00%000000.2200
17Milo RoelensMonstersMonsters (CBJ)C19033-213539156180.00%58.43000000000035.52%18300000.3700
18Daniel TorgerssonMonstersMonsters (CBJ)LW/RW7202000082225.00%08.6300010000200.00%400000.6600
19Jaroslav ChmelarMonstersMonsters (CBJ)RW15112-20011165116.25%06.50000100000140.00%500000.4100
20Alex PetrovicMonstersMonsters (CBJ)D1911231603752820.00%614.9500000008000.00%000000.1400
21Noah PhilpMonstersMonsters (CBJ)C9000-2007144100.00%08.18000000000063.11%10300000.0000
22Kirill KudryavtsevMonstersMonsters (CBJ)D1300000000000.00%00.1900000000000.00%000000.0000
Team Total or Average3555410916311148204706561884688.23%17415.781425394910004006249.97%176100000.5813
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)74200.9042.8438100181870010.000064001
2Isaac PoulterMonstersMonsters (CBJ)64200.9362.1134221121870001.0003611101
3Eric ComrieMonstersMonsters (CBJ)71510.8993.2742200232270000.000074001
Team Total or Average209910.9122.78114621536010011.00031919103
Salary
Player Name POS Age Cap Hit 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28
Alex Petrovic D32800,000$800,000$ 800,000$ UFA
Cade Webber D23875,000$875,000$ 875,000$ RFA
Calle Rosen D30900,000$900,000$ UFA
Chase Pearson C270$UFA
Christian Fischer C/LW/RW271,200,000$1,200,000$ 1,200,000$ UFA
Cole Koepke LW/RW26800,000$800,000$ 800,000$ UFA
Colten Ellis G24800,000$800,000$ 800,000$ RFA
Daniel Torgersson LW/RW22867,500$867,500$ RFA
Dennis Gilbert D28775,000$775,000$ UFA
Dmitri Samorukov D25900,000$900,000$ RFA
Emil Bemstrom C/RW25775,000$775,000$ RFA
Eric ComrieG29825,000$825,000$825,000$UFA
Fabian Wagner C20858,333$858,333$ 858,333$ RFA
Isaac Poulter G23950,000$950,000$ RFA
Jaroslav Chmelar RW21867,500$867,500$ 867,500$ 867,500$ RFA
Jere Innala LW26870,000$870,000$ RFA
Kevin Gravel D32800,000$800,000$ 800,000$ UFA
Kirill Kudryavtsev D20850,000$850,000$ 850,000$ RFA
Liam Foudy C24950,000$950,000$ 950,000$ RFA
Logan Brown C26950,000$950,000$ RFA
Matej Pekar LW24850,000$850,000$ RFA
Mathieu Olivier RW27875,000$875,000$ UFA
Milo Roelens C21870,000$870,000$ 870,000$ RFA
Nathan Walker LW30900,000$900,000$ UFA
Nick Blankenburg D26800,000$800,000$ 800,000$ UFA
Noah Philp C26775,000$775,000$ RFA
Reece Newkirk C23775,000$775,000$ RFA
Ryan Francis C220$RFA
Sandis Vilmanis LW21855,000$855,000$ 855,000$ 855,000$ RFA
Scott Morrow D22916,667$916,667$ 916,667$ RFA
Shane Bowers RW25775,000$775,000$ 775,000$ RFA
Sheldon Dries C30800,000$800,000$ 800,000$ UFA
Tyler Tullio RW22823,333$823,333$ RFA

Lines
Forward Lines


# - Nathan Walker


# - Sheldon Dries


# - Christian Fischer


# - Jere Innala


# - Liam Foudy


# - Mathieu Olivier


# - Cole Koepke


# - Noah Philp


# - Emil Bemstrom


# - Sandis Vilmanis


# - Milo Roelens


# - Jaroslav Chmelar

Defensive Pairings


# - Calle Rosen


# - Nick Blankenburg


# - Dennis Gilbert


# - Cade Webber


# - Kevin Gravel


# - Alex Petrovic

1st Power Play Unit


# - Jere Innala


# - Christian Fischer


# - Emil Bemstrom


# - Calle Rosen


# - Nick Blankenburg

2nd Power Play Unit


# - Nathan Walker


# - Sheldon Dries


# - Mathieu Olivier


# - Dennis Gilbert


# - Cade Webber

Goalies


# - Isaac Poulter


# - Colten Ellis

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
1MonstersComets2200000097241.00091827002021151622242322198802814486233.33%7442.86%036472550.21%34367650.74%16332350.46%44329544014826513270.0%14.5%91.3%105.8LUCKY
2MonstersSenators1100000041321.00048120020211512522423221982778214250.00%30100.00%036472550.21%34367650.74%16332350.46%44329544014826513266.7%16.0%96.3%112.3LUCKY
3MonstersWolves1010000014-300.0001230020211514022423221982210920200.00%10100.00%036472550.21%34367650.74%16332350.46%44329544014826513220.0%2.5%81.8%84.3Unlucky
4MonstersGriffins2110000078-120.50071320102021151762242322198661214534250.00%7185.71%036472550.21%34367650.74%16332350.46%44329544014826513241.7%9.2%87.9%97.1FUN
5MonstersRocket1010000034-100.0003580020211512722423221982978312150.00%4175.00%036472550.21%34367650.74%16332350.46%44329544014826513240.0%11.1%86.2%97.3FUN
6MonstersBears422000001310340.500132538012021151148224232219813243439810220.00%17382.35%036472550.21%34367650.74%16332350.46%44329544014826513261.1%8.8%92.4%101.2DULL
7MonstersCrunch1010000013-200.000123002021151272242322198259425100.00%20100.00%036472550.21%34367650.74%16332350.46%44329544014826513225.0%3.7%88.0%91.7Unlucky
8MonstersThunderbirds1000010034-110.5003690020211515022423221983776245240.00%30100.00%036472550.21%34367650.74%16332350.46%44329544014826513220.0%6.0%89.2%95.2Unlucky
9MonstersAmericans1100000051421.0005101500202115132224232219837910225120.00%50100.00%036472550.21%34367650.74%16332350.46%44329544014826513280.0%15.6%97.3%112.9LUCKY
10MonstersIceHogs1010000012-100.0001230020211512722423221983671027200.00%4175.00%036472550.21%34367650.74%16332350.46%44329544014826513250.0%3.7%94.4%98.1DULL
11MonstersMoose1010000012-100.00012300202115134224232219829713274125.00%4175.00%036472550.21%34367650.74%16332350.46%4432954401482651320.0%2.9%93.1%96.0DULL
12MonstersStars1010000035-200.0003690020211514622423221983611424300.00%2150.00%036472550.21%34367650.74%16332350.46%44329544014826513242.9%6.5%86.1%92.6Unlucky
13MonstersMarlies1000001032121.0003470020211514422423221983112225500.00%10100.00%036472550.21%34367650.74%16332350.46%44329544014826513260.0%6.8%93.5%100.4DULL
14MonstersSilver Knights1100000031221.0003690020211514322423221981577244125.00%10100.00%036472550.21%34367650.74%16332350.46%44329544014826513266.7%7.0%93.3%100.3DULL
_Vs Division7530001023212120.8572345680120211512502242322198234816616618422.22%25772.00%036472550.21%34367650.74%16332350.46%44329544014826513257.6%9.2%91.0%100.2FUN
_Vs Conference14750011048408170.60748911391120211514912242322198464134109347421228.57%49981.63%036472550.21%34367650.74%16332350.46%44329544014826513253.7%9.8%91.4%101.2LUCKY
_Since Last GM Reset19890011057543190.500571091661120211516812242322198602176152469571424.56%611280.33%036472550.21%34367650.74%16332350.46%44329544014826513250.6%8.4%91.0%99.4Unlucky
Total19890011057543190.500571091661120211516812242322198602176152469571424.56%611280.33%036472550.21%34367650.74%16332350.46%44329544014826513250.6%8.4%91.0%99.4Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 725
Neutral Zone Start 323
Defensive Zone Start 676
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 870
Faceoffs Lost 854
Team Average Shots after League Average Shots after
1st Period 11.89.57
2nd Period 24.020.31
3rd Period 35.530.68
Overtime 35.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.21.65
3rd Period 2.92.67
Overtime 3.02.83
Even Strenght Goal 42
PP Goal 14
PK Goal 0
Empty Net Goal 1
Home Away
Win 63
Lost 36
Overtime Lost 10
PP Attempt 57
PP Goal 14
PK Attempt 61
PK Goal Against 12
Home
Shots For 35.8
Shots Against 31.7
Goals For 3.0
Goals Against 2.8
Hits 24.7
Shots Blocked 9.3
Pim 8.0
Schedule
DateMatchup Result Detail
2024-10-09MonstersBears@MonstersMonstersBears0,Monsters4RECAP
2024-10-10MonstersMonsters@MonstersAmericansMonsters5,Americans1RECAP
2024-10-12MonstersBears@MonstersMonstersBears3,Monsters4RECAP
2024-10-15MonstersMonsters@MonstersRocketMonsters3,Rocket4RECAP
2024-10-16MonstersStars@MonstersMonstersStars5,Monsters3RECAP
2024-10-21MonstersGriffins@MonstersMonstersGriffins4,Monsters5RECAP
2024-10-25MonstersMonsters@MonstersSilver KnightsMonsters3,Silver Knights1RECAP
2024-10-27MonstersComets@MonstersMonstersComets4,Monsters5RECAP
2024-10-29MonstersMonsters@MonstersGriffinsMonsters2,Griffins4RECAP
2024-10-31MonstersSenators@MonstersMonstersSenators1,Monsters4RECAP
2024-11-01MonstersMonsters@MonstersCometsMonsters4,Comets3RECAP
2024-11-03MonstersMarlies@MonstersMonstersMarlies2,Monsters3 (SO)RECAP
2024-11-06MonstersMonsters@MonstersCrunchMonsters1,Crunch3RECAP
2024-11-08MonstersBears@MonstersMonstersBears3,Monsters2RECAP
2024-11-12MonstersMonsters@MonstersBearsMonsters3,Bears4RECAP
2024-11-13MonstersThunderbirds@MonstersMonstersThunderbirds4,Monsters3 (OT)RECAP
2024-11-15MonstersMonsters@MonstersIceHogsMonsters1,IceHogs2RECAP
2024-11-17MonstersMoose@MonstersMonstersMoose2,Monsters1RECAP
2024-11-19MonstersMonsters@MonstersWolvesMonsters1,Wolves4RECAP
2024-11-22MonstersAdmirals@MonstersMonsters
2024-11-24MonstersMonsters@MonstersMarlies
2024-11-25MonstersComets@MonstersMonsters
2024-11-27MonstersMonsters@MonstersCrunch
2024-11-29MonstersMonsters@MonstersPenguins
2024-12-01MonstersBears@MonstersMonsters
2024-12-04MonstersMonsters@MonstersWolf Pack
2024-12-05MonstersGriffins@MonstersMonsters
2024-12-09MonstersMonsters@MonstersSenators
2024-12-13MonstersEagles@MonstersMonsters
2024-12-18MonstersWolf Pack@MonstersMonsters
2024-12-24MonstersPhantoms@MonstersMonsters
2024-12-27MonstersMonsters@MonstersPhantoms
2024-12-28MonstersCheckers@MonstersMonsters
2024-12-31MonstersMonsters@MonstersSenators
2025-01-02MonstersMonsters@MonstersAdmirals
2025-01-04MonstersSenators@MonstersMonsters
2025-01-06MonstersMarlies@MonstersMonsters
2025-01-08MonstersMonsters@MonstersCondors
2025-01-12MonstersRocket@MonstersMonsters
2025-01-14MonstersMonsters@MonstersThunderbirds
2025-01-16MonstersMonsters@MonstersSilver Knights
2025-01-17MonstersRoadrunners@MonstersMonsters
2025-01-23MonstersPenguins@MonstersMonsters
2025-01-25MonstersMonsters@MonstersThunderbirds
2025-01-26MonstersMonsters@MonstersAmericans
2025-01-28MonstersIslanders@MonstersMonsters
2025-01-30MonstersMonsters@MonstersIslanders
2025-02-01MonstersGulls@MonstersMonsters
2025-02-04MonstersMonsters@MonstersAmericans
2025-02-06MonstersMonsters@MonstersCheckers
2025-02-07MonstersWranglers@MonstersMonsters
2025-02-11MonstersMonsters@MonstersReign
2025-02-12MonstersStars@MonstersMonsters
2025-02-15MonstersWolf Pack@MonstersMonsters
2025-02-18MonstersMonsters@MonstersMarlies
2025-02-20MonstersMonsters@MonstersRocket
2025-02-21MonstersCrunch@MonstersMonsters
2025-02-25MonstersMonsters@MonstersRocket
2025-02-26MonstersAmericans@MonstersMonsters
2025-02-28MonstersMonsters@MonstersCanucks
2025-03-01MonstersMonsters@MonstersBruins
2025-03-03MonstersCrunch@MonstersMonsters
2025-03-06MonstersStars@MonstersMonsters
Trade Deadline --- Trades can’t be done after this day is simulated!
2025-03-10MonstersMonsters@MonstersWild
2025-03-13MonstersMonsters@MonstersFirebirds
2025-03-14MonstersMonsters@MonstersGriffins
2025-03-16MonstersAmericans@MonstersMonsters
2025-03-18MonstersMonsters@MonstersFirebirds
2025-03-19MonstersMonsters@MonstersComets
2025-03-21MonstersBarracuda@MonstersMonsters
2025-03-26MonstersBruins@MonstersMonsters
2025-04-04MonstersRocket@MonstersMonsters

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
2,485,333$ 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
26 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
2,485,333$ 2,485,333$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
851,606$ 13,656$ 598,878$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 150 19,150$ 2,604,400$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
2,604,400$ 0$ 0$ 0$

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

Defense #1Defense #2Goalie

Transactions



Injuries
Logan Brown is suspended for 66 more games.
Chase Pearson is suspended for 19 more games.

Game Center

Moose12-6-2, 26pts21Final
Monsters9-9-1, 19pts

Monsters9-9-1, 19pts14Final
Wolves13-6-2, 28pts

Monsters9-9-1, 19ptsWed, Nov 20
Wolves13-6-2, 28pts

Monsters9-9-1, 19ptsFri, Oct 11
Americans11-7-3, 25pts

Bears11-11-0, 22ptsSun, Oct 13
Monsters9-9-1, 19pts

TRANSACTIONS



 

Team Info

Monsters
Head CoachLane Lambert
DivisionNorth
CityCleveland
Stadium Capacity3,000

Monsters Affiliation

Monsters
General ManagerÉtienne Bourget
Head CoachDerek Lalonde
StadiumNationwide Arena
Capacity18,000

Team Leaders


GOALS
Sheldon Dries
MonstersMonsters
6
GOALS
POINTS
Nathan Walker
MonstersMonsters
16
POINTS
WINS
Colten Ellis
MonstersMonsters
4
WINS
Expanded Player Leaderboard

Team Stats


Goals For
57
3.00 GFG
Goals Against
54
2.84 GAA
Power Play Percentage
24.6%
14 GF
Penalty Kill Percentage
80.3%
12 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain