MonstersCleveland Monsters
15-8-3, 33pts · 5th 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 Dries24C100.006839775767717468745764726077750507331800,000$/1yrs
Logan Brown22C100.006441855993706764686260686170690397327775,000$/1yrs
Connor Dewar0LW99.0080408860697584587559627660686705073261,250,000$/3yrs
Viljami Marjala (R)0C/LW100.005937946571708867457158616461610507322872,500$/2yrs
Cole Koepke0LW/RW100.008336916077748857555864616070690507227800,000$/1yrs
Luke Glendening0C/LW/RW100.0073348955737490558553607658868502671361,000,000$/1yrs
Jack Devine (R)0RW100.007039756171689460456357646059570507022950,000$/3yrs
Jack Williams0LW/RW100.006939776071688957376060656063610507023923,750$/1yrs
Alex Bump (R)0LW100.005939886175679358375661636059580506922950,000$/3yrs
Shane Bowers15RW100.006238885373646764355454685468670506826775,000$/1yrs
Tyler Tullio (R)0RW100.007040755572646761385654645563600506823800,000$/1yrs
Jaroslav Chmelar (R)0RW100.008141625781648254495755645659550186722867,500$/2yrs
Jack St. Ivany0D100.007946695580827155305550805368650507126800,000$/1yrs
Alex Petrovic0D98.007241725187676750305752755580780507033800,000$/1yrs
Kevin Gravel0D100.006340874985666648305452755380790476933800,000$/1yrs
Dysin Mayo0D100.008141555074666749305653715473690506929850,000$/2yrs
Caleb MacDonald0D100.008444595299638852305453655361570476823922,500$/2yrs
Marshall Rifai0D100.008042585080646648305551695370660506727775,000$/2yrs
Kirill Kudryavtsev (R)0D100.006239885276636650305752635559580506721850,000$/1yrs
Scratches
Emil Bemstrom0C/RW100.006433935976737659596062576068670207126800,000$/2yrs
Liam Foudy19C100.006233955576726758556350565466660516825950,000$/1yrs
Reece Newkirk0C100.006839775370636562395452665364620256724775,000$/1yrs
Milo Roelens0C100.007342705491626660615155645361580516722870,000$/1yrs
Noah Philp0C100.006833955580716750746050575069680206627775,000$/1yrs
Daniel Torgersson (R)0LW/RW100.006140895286626562455351655263610206623775,000$/1yrs
Fabian Wagner (R)0C100.006138895569626659435255635459580206621858,333$/1yrs
Ryan Francis (R)0C100.006038904868586961674747644761600206324775,000$/1yrs
Cade Webber (R)0D100.006741804790626547305251665164620206524875,000$/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 Ellis45100.00757072747976777576747667670547825800,000$/1yrs
Isak Posch098.00737469876273737373737364710567723872,500$/2yrs
Scratches
Ty Young0100.00735870757376737376767460590297521825,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan63677169767075CAN545500,000$
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/LW26713205001066175310.61%517.6623585000382247.84%23200000.8700
2Sheldon DriesMonstersMonsters (CBJ)C26107170803398327110.20%1021.3532577101883157.18%75900000.6100
3Cole KoepkeMonstersMonsters (CBJ)LW/RW26511166160567820546.41%519.4803381000542153.01%8300000.6300
4Shane BowersMonstersMonsters (CBJ)RW2651015640175215209.62%412.620001200000132.26%3100000.9101
5Jack WilliamsMonstersMonsters (CBJ)LW/RW264111510100485612487.14%517.060228200000037.93%2900000.6801
6Connor DewarMonstersMonsters (CBJ)LW2677140200559132677.69%1221.2232581000852153.19%4700000.5101
7Liam FoudyMonstersMonsters (CBJ)C246713720834123317.65%217.1912378000111047.21%37700000.6300
8Alex PetrovicMonstersMonsters (CBJ)D2631013-316033379208.11%3523.392248600075000.00%000000.4300
9Jack St. IvanyMonstersMonsters (CBJ)D262911-1160654625304.35%3823.791349000079100.00%000000.3600
10Logan BrownMonstersMonsters (CBJ)C1564106001133101918.18%310.10000000010063.98%18600001.3200
11Dysin MayoMonstersMonsters (CBJ)D26371022407727131311.11%2420.490337501160100.00%000000.3800
12Kirill KudryavtsevMonstersMonsters (CBJ)D26281015002125516.67%1815.95000500025200.00%000000.4800
13Jack DevineMonstersMonsters (CBJ)RW26010103180384620450.00%416.08000000000035.71%2800000.4800
14Caleb MacDonaldMonstersMonsters (CBJ)D26371015375751821216.67%3115.0100000008100.00%000000.5100
15Kevin GravelMonstersMonsters (CBJ)D26178211552315164.35%2720.931347501168000.00%000000.2900
16Alex BumpMonstersMonsters (CBJ)LW2643702043182112.90%17.59000000050050.00%1000000.7100
17Milo RoelensMonstersMonsters (CBJ)C24235118028248338.33%112.480000000230056.36%29100000.3300
18Luke GlendeningMonstersMonsters (CBJ)C/LW/RW22130002120516.67%121.41000500070056.14%5700001.4000
19Tyler TullioMonstersMonsters (CBJ)RW26033-42014206150.00%25.26000100000037.50%800000.4400
20Reece NewkirkMonstersMonsters (CBJ)C111011000101100.00%00.42000000010025.00%400004.3800
21Marshall RifaiMonstersMonsters (CBJ)D26000-10013110.00%10.6700040001000.00%000000.0000
22Jaroslav ChmelarMonstersMonsters (CBJ)RW2000040104030.00%08.25000000000050.00%200000.0000
Team Total or Average4947313821170208105928122625858.99%22915.4913253884512363815653.54%214400000.5503
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)168530.9192.2795120364420010.6673169132
2Isak PoschMonstersMonsters (CBJ)106300.9152.4855620232700000.0000917111
3Ty YoungMonstersMonsters (CBJ)11000.9172.0060002240000.000010000
Team Total or Average2715830.9172.33156840617360010.66732626243
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 C24775,000$775,000$ 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


# - Luke Glendening


# - Shane Bowers


# - Jack Williams


# - Logan Brown


# - Tyler Tullio


# - Alex Bump


# - Viljami Marjala


# - Jaroslav Chmelar

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


# - Luke Glendening


# - Kevin Gravel


# - Dysin Mayo

Goalies


# - Isak Posch


# - 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
1MonstersPhantoms1100000042221.0004812003218230422682323051027662610220.00%30100.00%048690553.70%44784452.96%21537956.73%63142358819935017750.0%9.5%92.6%102.1LUCKY
2MonstersComets4220000086240.500815230032182301302682323051012136231041218.33%70100.00%048690553.70%44784452.96%21537956.73%63142358819935017753.8%6.2%95.0%101.2DULL
3MonstersSenators1010000013-200.00012310321823019268232305102791721200.00%6266.67%048690553.70%44784452.96%21537956.73%63142358819935017750.0%5.3%88.9%94.2Unlucky
4MonstersGriffins32100000119240.667112132003218230101268232305107320286815213.33%12191.67%048690553.70%44784452.96%21537956.73%63142358819935017752.9%10.9%87.7%98.6FUN
5MonstersRocket2200000083541.0008132100321823062268232305105225104411327.27%50100.00%048690553.70%44784452.96%21537956.73%63142358819935017762.5%12.9%94.2%107.1LUCKY
6MonstersBears1100000021121.000246003218230282682323051025610172150.00%50100.00%048690553.70%44784452.96%21537956.73%63142358819935017750.0%7.1%96.0%103.1DULL
7MonstersReign2110000088020.50081624003218230702682323051070161853500.00%9188.89%048690553.70%44784452.96%21537956.73%63142358819935017753.3%11.4%88.6%100.0FUN
8MonstersAdmirals1100000031221.000369003218230272682323051030108217342.86%40100.00%048690553.70%44784452.96%21537956.73%6314235881993501770.0%11.1%96.7%107.8LUCKY
9MonstersCrunch2100010076130.75071320003218230712682323051059231841600.00%9277.78%048690553.70%44784452.96%21537956.73%63142358819935017763.6%9.9%89.8%99.7FUN
10MonstersThunderbirds1100000042221.00047110032182303026823230510247821200.00%40100.00%048690553.70%44784452.96%21537956.73%63142358819935017766.7%13.3%91.7%105.0LUCKY
11MonstersBruins1000000123-110.5002350032182304326823230510309824200.00%3233.33%048690553.70%44784452.96%21537956.73%63142358819935017766.7%4.7%90.0%94.7Unlucky
12MonstersAmericans2010010014-310.250123003218230662682323051077222036800.00%9188.89%048690553.70%44784452.96%21537956.73%63142358819935017725.0%1.5%94.8%96.3DULL
13MonstersCheckers1100000042221.000481200321823028268232305102811627200.00%2150.00%048690553.70%44784452.96%21537956.73%63142358819935017780.0%14.3%92.9%107.1LUCKY
14MonstersMarlies32100000910-140.667918270032182307326823230510752226661317.69%13469.23%148690553.70%44784452.96%21537956.73%63142358819935017757.1%12.3%86.7%99.0FUN
15MonstersBarracuda1010000013-200.0001230032182302226823230510197623200.00%220.00%048690553.70%44784452.96%21537956.73%63142358819935017750.0%4.5%84.2%88.8Unlucky
_Vs Division696002001495201.66714274100321823020026823230510173483914724416.67%150100.00%048690553.70%44784452.96%21537956.73%63142358819935017752.6%7.0%94.8%101.8DULL
_Vs Conference2213600201615110290.6596111417510321823069326823230510618196180495851011.76%781383.33%148690553.70%44784452.96%21537956.73%63142358819935017757.3%8.8%91.7%100.5DULL
_Since Last GM Reset2615800201736310330.6357313821110321823081226823230510737229212592991313.13%931682.80%148690553.70%44784452.96%21537956.73%63142358819935017756.1%9.0%91.5%100.4LUCKY
Total2615800201736310330.6357313821110321823081226823230510737229212592991313.13%931682.80%148690553.70%44784452.96%21537956.73%63142358819935017756.1%9.0%91.5%100.4LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 905
Neutral Zone Start 379
Defensive Zone Start 844
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 1148
Faceoffs Lost 980
Team Average Shots after League Average Shots after
1st Period 10.39.57
2nd Period 19.220.31
3rd Period 31.030.68
Overtime 31.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.20.64
2nd Period 1.91.65
3rd Period 2.82.67
Overtime 2.82.83
Even Strenght Goal 58
PP Goal 13
PK Goal 1
Empty Net Goal 1
Home Away
Win 87
Lost 44
Overtime Lost 12
PP Attempt 99
PP Goal 13
PK Attempt 93
PK Goal Against 16
Home
Shots For 31.2
Shots Against 28.3
Goals For 2.8
Goals Against 2.4
Hits 22.8
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@MonstersMonstersMarlies3,Monsters4RECAP
2025-12-05MonstersMonsters@MonstersBruinsMonsters2,Bruins3 (SO)RECAP
2025-12-07MonstersReign@MonstersMonstersReign6,Monsters4RECAP
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
23 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
1,004,662$ 13,854$ 832,426$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 130 16,632$ 1,962,576$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
1,962,576$ 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 56 more games.
Daniel Torgersson is suspended for 56 more games.

Game Center

Monsters15-8-3, 33pts23Final
Bruins15-9-1, 31pts

Reign8-13-4, 20pts64Final
Monsters15-8-3, 33pts

Reign8-13-4, 20ptsMon, Dec 08
Monsters15-8-3, 33pts

Crunch14-12-1, 29ptsSat, Oct 11
Monsters15-8-3, 33pts

Monsters15-8-3, 33ptsTue, Oct 14
Comets13-11-0, 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
20
POINTS
WINS
Colten Ellis
MonstersMonsters
8
WINS
Expanded Player Leaderboard

Team Stats


Goals For
73
2.81 GFG
Goals Against
63
2.42 GAA
Power Play Percentage
13.1%
13 GF
Penalty Kill Percentage
82.8%
16 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain