MonstersCleveland Monsters
47-17-2, 96pts · 3rd in Conference Est
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Adam Beckman0LW100.00604072715961616543576260665050181022894,167$/1yrs
Alexander Khovanov (R)0C100.006339745872736457625653545962646680023750,000$/1yrs
Robby Fabbri0C/LW100.006745717574867871506967657180701800282,455,000$/2yrs
Tyler Pitlick0RW100.00824589738080887340696770718575180032787,500$/1yrs
Emilio Pettersen64LW100.005737915866768657615859545862645280023750,000$/1yrs
Jan Jenik70C100.00575162705759586142605358615050181023750,000$/1yrs
Calle Rosen0D100.00614087777685817640707274757565180030750,000$/1yrs
Christian Wolanin0D100.00614071706367676640675670645850180029750,000$/2yrs
Henri Jokiharju0D100.006850737581918376407065767270601830242,500,000$/1yrs
Louie Belpedio0D100.00585759706268696540615867645550182027750,000$/2yrs
Scratches
Michael Carcone58C/LW100.00546152725466677045686562695550139027750,000$/2yrs
Ross Johnston0LW100.00716555659075736640626064648070160030750,000$/3yrs
Aleksi Heponiemi0C/LW100.00544074715263646460655660645250140025750,000$/1yrs
Cole Smith0LW/RW100.00857865758083787340736475716053127028750,000$/1yrs
Gianni Fairbrother0D100.00504850515350505040505050505050145023848,333$/1yrs
Joey Keane44D100.006134706572858264306258605163656753024800,000$/1yrs
Filter Tips
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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.
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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
Dustin Wolf0100.0075647154697375757572595050178022813,333$/1yrs
Scratches
Daniil Chechelev0100.0062555567615858546059505050120023750,000$/1yrs
Eric Comrie0100.0083818076817877767781787871126028850,000$/1yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Paul McFarland6060606055551CAN3721,000,000$
General Manager
Player Stats
Filter Tips
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
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# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Calle RosenMonstersMonsters (CBJ)D61326597-22603930912114710.36%7421.5730275710401176430.00%072107001.4700
2Christian WolaninMonstersMonsters (CBJ)D61154560132353517792858.47%3417.981518335800043210.00%016110001.0900
3Robby FabbriMonstersMonsters (CBJ)C/LW61223355-11100552106213010.48%3114.06581327000104057.55%2127045001.2800
4Tyler PitlickMonstersMonsters (CBJ)RW122319428551795314824.21%522.70118193000074066.07%562010043.0800
5Emilio PettersenMonstersMonsters (CBJ)LW61151429-62035175811168.57%1018.12000000033266.67%333432000.5200
6Adam BeckmanMonstersMonsters (CBJ)LW61161228-1515550143448511.19%1713.47134800031156.84%952233000.6800
7Jan JenikMonstersMonsters (CBJ)C6191928-151553572174512.50%1012.13000100021056.64%1326924000.7600
8Ross JohnstonMonstersMonsters (CBJ)LW436142072755413146684.58%1313.510111200031060.00%252539000.6900
9Cole SmithMonstersMonsters (CBJ)LW/RW79112042951932132528.12%622.8056112400060042.86%786002.5100
10Michael CarconeMonstersMonsters (CBJ)C/LW11107174601355172918.18%018.222462000071061.87%139916001.7000
11Gianni FairbrotherMonstersMonsters (CBJ)D204913-1100629121213.79%315.204481600011200.00%0114000.8600
12Alexander KhovanovMonstersMonsters (CBJ)C61167-1001924284.17%26.531011200000066.67%15343000.3500
13Henri JokiharjuMonstersMonsters (CBJ)D7325620582537.50%323.023142200010100.00%0312000.6200
14Aleksi HeponiemiMonstersMonsters (CBJ)C/LW10224-32016176711.76%213.760000000120167.82%8753000.5800
15Joey KeaneMonstersMonsters (CBJ)D2604456064015170.00%1715.16000110006000.00%0526000.2000
16Louie BelpedioMonstersMonsters (CBJ)D3000-117501120.00%111.0700000001000.00%002000.0000
Team Total or Average566167262429-2817535404151856282911.00%22815.16778015735101120724858.65%2133303482041.0000
Filter Tips
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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
1Eric ComrieMonstersMonsters (CBJ)65000.9062.39327001313859000.000060000
2Dustin WolfMonstersMonsters (CBJ)54000.8652.5123900107434000.000048011
Team Total or Average119000.8922.44566002321293000.0000108011
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Adam Beckman LW22894,167$894,167$ RFA
Aleksi Heponiemi C/LW25750,000$750,000$ RFA
Alexander Khovanov C23750,000$750,000$ RFA
Calle Rosen D30750,000$750,000$ UFA
Christian Wolanin D29750,000$750,000$ 750,000$ UFA
Cole Smith LW/RW28750,000$750,000$ UFA
Daniil Chechelev G23750,000$750,000$ RFA
Dustin Wolf G22813,333$813,333$ RFA
Emilio Pettersen LW23750,000$750,000$ RFA
Eric Comrie G28850,000$850,000$ UFA
Gianni Fairbrother D23848,333$848,333$ RFA
Henri Jokiharju D242,500,000$2,500,000$ RFA
Jan Jenik C23750,000$750,000$ RFA
Joey Keane D24800,000$800,000$ RFA
Louie Belpedio D27750,000$750,000$ 750,000$ UFA
Michael Carcone C/LW27750,000$750,000$ 750,000$ UFA
Robby Fabbri C/LW282,455,000$2,455,000$ 2,455,000$ UFA
Ross Johnston LW30750,000$750,000$ 750,000$ 750,000$ UFA
Tyler Pitlick RW32787,500$787,500$ UFA

Lines
Forward Lines


# - Adam Beckman


# - Jan Jenik


# - Robby Fabbri


# - Emilio Pettersen


# - Emilio Pettersen


# - Alexander Khovanov

Defensive Pairings


# - Calle Rosen


# - Christian Wolanin

1st Power Play Unit


# - Calle Rosen

2nd Power Play Unit


# - Adam Beckman


# - Robby Fabbri


# - Christian Wolanin

Goalies
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
1Monsters Gulls22000000137641.00013223500501281323866048458571150182197571.43%110.00%0668123754.00%47988554.12%690126954.37%14488801469512104955957.1%15.1%86.0%101.1FUN
2MonstersEagles2110000088020.50081422005012813235760484585711671712183266.67%6350.00%2668123754.00%47988554.12%690126954.37%14488801469512104955954.5%14.0%88.1%102.1FUN
3MonstersMarlies33000000179861.00017304700501281323906048458571176238369777.78%4175.00%0668123754.00%47988554.12%690126954.37%14488801469512104955955.6%18.9%88.2%107.0FUN
4MonstersComets33000000138561.0001322350150128132311060484585711682316445240.00%8275.00%0668123754.00%47988554.12%690126954.37%14488801469512104955964.7%11.8%88.2%100.1FUN
5MonstersPhantoms21100000129320.500121931005012813237060484585711432743855100.00%2150.00%0668123754.00%47988554.12%690126954.37%14488801469512104955946.7%17.1%79.1%96.2FUN
6MonstersAdmirals422000002213940.50022386000501281323156604845857118523660141178.57%3233.33%0668123754.00%47988554.12%690126954.37%14488801469512104955950.0%14.1%84.7%98.8FUN
7MonstersPenguins330000002171461.000213657005012813231256048458571168175350181161.11%40100.00%0668123754.00%47988554.12%690126954.37%14488801469512104955958.8%16.8%89.7%106.5FUN
8MonstersIslanders1100000053221.000510150050128132334604845857111920142150.00%000.00%0668123754.00%47988554.12%690126954.37%14488801469512104955957.1%14.7%84.2%98.9FUN
9MonstersBears440000002012881.000203656005012813231216048458571177291676191368.42%8362.50%1668123754.00%47988554.12%690126954.37%14488801469512104955943.8%16.5%84.4%100.9FUN
10MonstersAmericans2110000079-220.5007142100501281323626048458571153158215240.00%4250.00%0668123754.00%47988554.12%690126954.37%14488801469512104955941.7%11.3%83.0%94.3FUN
11MonstersRocket312000001115-420.333111930005012813239260484585711772710336350.00%50100.00%0668123754.00%47988554.12%690126954.37%14488801469512104955934.8%12.0%80.5%92.5FUN
12MonstersStars22000000127541.000122335005012813235160484585711521343077100.00%2150.00%0668123754.00%47988554.12%690126954.37%14488801469512104955945.5%23.5%86.5%110.1FUN
13MonstersWolfes1100000030321.00036901501281323316048458571116741022100.00%20100.00%0668123754.00%47988554.12%690126954.37%144888014695121049559100.0%9.7%100.0%109.7LUCKY
14MonstersHeat1100000054121.0005914005012813233960484585711205213100.00%110.00%0668123754.00%47988554.12%690126954.37%14488801469512104955962.5%12.8%80.0%92.8FUN
15MonstersDevils310011001512350.8331526410050128132311860484585711883212498450.00%6350.00%0668123754.00%47988554.12%690126954.37%14488801469512104955955.0%12.7%86.4%99.1FUN
16MonstersIceHogs22000000118341.00011203100501281323786048458571149152256583.33%10100.00%0668123754.00%47988554.12%690126954.37%14488801469512104955942.9%14.1%83.7%97.8FUN
17MonstersCheckers53002000281810101.0002851790050128132316760484585711132313770181161.11%11463.64%1668123754.00%47988554.12%690126954.37%14488801469512104955954.8%16.8%86.4%103.1FUN
18MonstersReign2110000077020.5007111800501281323896048458571137122436350.00%10100.00%0668123754.00%47988554.12%690126954.37%14488801469512104955936.4%7.9%81.1%88.9Unlucky
19MonstersMoose422000002214840.50022386000501281323137604845857117530196114857.14%7357.14%1668123754.00%47988554.12%690126954.37%14488801469512104955956.0%16.1%81.3%97.4FUN
20MonstersWild2020000069-300.0006915105012813237960484585711651781822100.00%4250.00%0668123754.00%47988554.12%690126954.37%14488801469512104955936.4%7.6%86.2%93.7Unlucky
21MonstersThunderbirds22000000104641.00010203000501281323816048458571151208276583.33%4175.00%0668123754.00%47988554.12%690126954.37%14488801469512104955962.5%12.3%92.2%104.5LUCKY
22MonstersRoadrunners2010010039-610.2503690050128132349604845857115921624000.00%30100.00%0668123754.00%47988554.12%690126954.37%14488801469512104955925.0%6.1%84.7%90.9Unlucky
23MonstersCondors1100000064221.00061016005012813234760484585711930184375.00%000.00%0668123754.00%47988554.12%690126954.37%14488801469512104955942.9%12.8%55.6%68.3FUN
24MonstersBruins1100000051421.0005101500501281323396048458571125112123266.67%110.00%0668123754.00%47988554.12%690126954.37%144888014695121049559100.0%12.8%96.0%108.8LUCKY
25MonstersGriffins1010000035-200.00036900501281323476048458571141162173133.33%110.00%0668123754.00%47988554.12%690126954.37%14488801469512104955933.3%6.4%87.8%94.2Unlucky
26MonstersCrunch42200000813-540.50081422005012813231116048458571111633226410660.00%11554.55%0668123754.00%47988554.12%690126954.37%14488801469512104955920.0%7.2%88.8%96.0Unlucky
27MonstersBarracuda21100000118320.50011193000501281323836048458571160207265360.00%110.00%0668123754.00%47988554.12%690126954.37%14488801469512104955953.3%13.3%86.7%99.9FUN
28MonstersWolf Pack2200000094541.0009162500501281323686048458571147184245480.00%20100.00%1668123754.00%47988554.12%690126954.37%14488801469512104955955.6%13.2%91.5%104.7LUCKY
_Vs Division20144031001106545350.8751101943040050128132370360484585711474156126321754965.33%331166.67%3668123754.00%47988554.12%690126954.37%14488801469512104955953.0%15.6%86.3%101.9FUN
_Vs Conference382860310019112368630.829191338529015012813231317604845857119223092075671278163.78%712761.97%3668123754.00%47988554.12%690126954.37%14488801469512104955953.4%14.5%86.7%101.2FUN
_Since Last GM Reset6644170320031322786960.72731355486712501281323231760484585711162552527694019312866.32%1033863.11%6668123754.00%47988554.12%690126954.37%14488801469512104955949.5%13.5%86.0%99.5FUN
Total6644170320031322786960.72731355486712501281323231760484585711162552527694019312866.32%1033863.11%6668123754.00%47988554.12%690126954.37%14488801469512104955949.5%13.5%86.0%99.5FUN

Puck Time
Offensive Zone 21
Neutral Zone 15
Defensive Zone 22
Puck Time
Offensive Zone Start 1237
Neutral Zone Start 1269
Defensive Zone Start 885
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 1837
Faceoffs Lost 1554
Team Average Shots after League Average Shots after
1st Period 9.29.57
2nd Period 22.020.31
3rd Period 34.930.68
Overtime 35.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.80.64
2nd Period 2.71.65
3rd Period 4.72.67
Overtime 4.72.83
Even Strenght Goal 178
PP Goal 128
PK Goal 6
Empty Net Goal 1
Home Away
Win 2324
Lost 89
Overtime Lost 11
PP Attempt 193
PP Goal 128
PK Attempt 103
PK Goal Against 38
Home
Shots For 35.1
Shots Against 24.6
Goals For 4.7
Goals Against 3.4
Hits 14.2
Shots Blocked 8.0
Pim 4.2
Schedule
DateMatchup Result Detail
2023-10-09MonstersHERVSMonstersCLEHER2,CLE5RECAP
2023-10-14MonstersBGPVSMonstersCLEBGP3,CLE5RECAP
2023-10-19MonstersBNGVSMonstersCLEBNG5,CLE6 (OT)RECAP
2023-10-23MonstersCLEVSMonstersCHACLE5,CHA3RECAP
2023-10-25MonstersHERVSMonstersCLEHER3,CLE4RECAP
2023-10-31MonstersCLEVSMonstersHERCLE5,HER3RECAP
2023-11-01MonstersCHAVSMonstersCLECHA2,CLE7RECAP
2023-11-07MonstersWBSVSMonstersCLEWBS1,CLE7RECAP
2023-11-09MonstersCLEVSMonstersBNGCLE5,BNG2RECAP
2023-11-11MonstersCLEVSMonstersSYRCLE4,SYR3RECAP
2023-11-13MonstersCLEVSMonstersMARCLE6,MAR4RECAP
2023-11-14MonstersMILVSMonstersCLEMIL3,CLE8RECAP
2023-11-17MonstersCLEVSMonstersMILCLE9,MIL3RECAP
2023-11-20MonstersUTIVSMonstersCLEUTI6,CLE7RECAP
2023-11-22MonstersCLEVSMonstersLEVCLE4,LEV5RECAP
2023-11-24MonstersCLEVSMonstersMANCLE6,MAN2RECAP
2023-11-27MonstersMILVSMonstersCLEMIL5,CLE4RECAP
2023-11-30MonstersCLEVSMonstersSJBCLE3,SJB4RECAP
2023-12-03MonstersHARVSMonstersCLEHAR2,CLE3RECAP
2023-12-09MonstersBNGVSMonstersCLEBNG5,CLE4 (OT)RECAP
2023-12-11MonstersCLEVSMonstersSPRCLE3,SPR2RECAP
2023-12-13MonstersCLEVSMonstersHARCLE6,HAR2RECAP
2023-12-15MonstersCLEVSMonstersONTCLE6,ONT5RECAP
2023-12-17MonstersCHAVSMonstersCLECHA6,CLE7 (OT)RECAP
2023-12-21MonstersCLEVSMonstersWBSCLE5,WBS3RECAP
2023-12-22MonstersGRGVSMonstersCLEGRG5,CLE3RECAP
2023-12-25MonstersCLEVSMonstersMARCLE7,MAR3RECAP
2023-12-27MonstersCLEVSMonstersRFDCLE5,RFD4RECAP
2023-12-29MonstersMANVSMonstersCLEMAN5,CLE3RECAP
2024-01-01MonstersCLEVSMonstersUTICLE5,UTI2RECAP
2024-01-03MonstersWBSVSMonstersCLEWBS3,CLE9RECAP
2024-01-07MonstersCLEVSMonstersSDGCLE8,SDG3RECAP
2024-01-09MonstersSDGVSMonstersCLESDG4,CLE5RECAP
2024-01-12MonstersCLEVSMonstersHERCLE6,HER4RECAP
2024-01-13MonstersBKSVSMonstersCLEBKS4,CLE6RECAP
2024-01-16MonstersCLEVSMonstersLEVCLE8,LEV4RECAP
2024-01-19MonstersCLEVSMonstersIOWCLE3,IOW5RECAP
2024-01-20MonstersSYRVSMonstersCLESYR1,CLE2RECAP
2024-01-23MonstersCLEVSMonstersAmeCLE2,Ame5RECAP
2024-01-26MonstersAmeVSMonstersCLEAme4,CLE5RECAP
2024-02-01MonstersTUCVSMonstersCLETUC6,CLE1RECAP
2024-02-04MonstersCLEVSMonstersSTCCLE5,STC4RECAP
2024-02-07MonstersEAGVSMonstersCLEEAG3,CLE5RECAP
2024-02-09MonstersCLEVSMonstersSYRCLE1,SYR5RECAP
2024-02-11MonstersSYRVSMonstersCLESYR4,CLE1RECAP
2024-02-14MonstersCLEVSMonstersMANCLE10,MAN3RECAP
2024-02-16MonstersCLEVSMonstersUTICLE1,UTI0RECAP
2024-02-19MonstersCLEVSMonstersEAGCLE3,EAG5RECAP
2024-02-20MonstersWFSVSMonstersCLEWFS0,CLE3RECAP
2024-02-23MonstersCLEVSMonstersLAVCLE1,LAV4RECAP
2024-02-24MonstersRFDVSMonstersCLERFD4,CLE6RECAP
2024-02-29MonstersSJBVSMonstersCLESJB4,CLE8RECAP
2024-03-02MonstersCLEVSMonstersTUCCLE2,TUC3 (OT)RECAP
2024-03-04MonstersSPRVSMonstersCLESPR2,CLE7RECAP
2024-03-08MonstersCLEVSMonstersCHACLE3,CHA2RECAP
2024-03-10MonstersONTVSMonstersCLEONT2,CLE1RECAP
2024-03-13MonstersCLEVSMonstersCHACLE6,CHA5 (OT)RECAP
2024-03-15MonstersMANVSMonstersCLEMAN4,CLE3RECAP
2024-03-19MonstersLAVVSMonstersCLELAV6,CLE8RECAP
2024-03-23MonstersIOWVSMonstersCLEIOW4,CLE3RECAP
2024-03-25MonstersCLEVSMonstersTEXCLE7,TEX4RECAP
2024-03-27MonstersCLEVSMonstersMILCLE1,MIL2RECAP
2024-03-29MonstersTEXVSMonstersCLETEX3,CLE5RECAP
2024-03-31MonstersCLEVSMonstersLAVCLE2,LAV5RECAP
2024-04-03MonstersCLEVSMonstersPROCLE5,PRO1RECAP
2024-04-04MonstersMARVSMonstersCLEMAR2,CLE4RECAP
2024-04-09MonstersLEVVSMonstersCLE
Trade Deadline --- Trades can’t be done after this day is simulated!
2024-04-14MonstersBELVSMonstersCLE
2024-04-19MonstersUTIVSMonstersCLE
2024-04-20MonstersCLEVSMonstersBGP
2024-04-23MonstersCLEVSMonstersBNG
2024-04-24MonstersCLEVSMonstersGRG
2024-04-26MonstersBGPVSMonstersCLE
2024-04-30MonstersBGPVSMonstersCLE
2024-05-02MonstersCLEVSMonstersBGP
2024-05-04MonstersCLEVSMonstersBKS
2024-05-08MonstersHERVSMonstersCLE
2024-05-12MonstersCLEVSMonstersWFS
2024-05-13MonstersSTCVSMonstersCLE
2024-05-19MonstersMARVSMonstersCLE
2024-05-23MonstersPROVSMonstersCLE
2024-05-25MonstersCLEVSMonstersBEL

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
1,819,833$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityCleveland
Capacity8000
Season Ticket Holders20%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity50003000
Ticket Price35$15$$$$
Attendance13200380387
Attendance PCT82.50%83.74%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
9 6637 - 82.96% 163,854$5,243,319$8000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
1,819,833$ 1,819,833$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
2,210,780$ 0$ 1,420,200$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,474,683$ 57 11,999$ 611,949$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
611,949$ 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

Monsters47-17-2, 96pts51Final
Bruins39-23-4, 82pts

Marlies28-28-7, 63pts24Final
Monsters47-17-2, 96pts

Marlies28-28-7, 63ptsFri, Apr 05
Monsters47-17-2, 96pts

Islanders29-33-4, 62ptsSun, Oct 15
Monsters47-17-2, 96pts

Devils45-11-5, 95ptsFri, Oct 20
Monsters47-17-2, 96pts

TRANSACTIONS



 

Team Info

Monsters
Head CoachPaul McFarland
DivisionNord
CityCleveland
Stadium Capacity8,000

Monsters Affiliation

Monsters
General ManagerCarl Morin
Head CoachGerard Gallant
StadiumNationwide Arena
Capacity18,144

Team Leaders


GOALS
Calle Rosen
MonstersMonsters
32
GOALS
POINTS
Calle Rosen
MonstersMonsters
97
POINTS
WINS
Eric Comrie
MonstersMonsters
5
WINS
Expanded Player Leaderboard

Team Stats


Goals For
313
4.74 GFG
Goals Against
227
3.44 GAA
Power Play Percentage
66.3%
128 GF
Penalty Kill Percentage
63.1%
38 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain