MonstersCleveland Monsters
41-24-17, 99pts · 8th in Conference 1
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Tyler Pitlick0C/RW100.0067427468707676664564626765866615066332,500,000$/4yrs
Jayson Megna0C100.0062427468627273666665606864856915065352,500,000$/4yrs
Max Sasson0C100.006341777371746466606362666752501506424870,000$/2yrs
Jack Studnicka0C/RW100.0063457171677571675363606366705415064261,250,000$/1yrs
Matthew Phillips0RW100.0057407775567269674465616768645215064271,200,000$/3yrs
Joe Snively0C100.0054427267577169654565595764595015061291,200,000$/1yrs
Gabriel Fortier0LW100.0059417266616664615956565861535015059251,250,000$/1yrs
Jonathan Gruden0C/LW100.0058486266606664615956555761535015058251,250,000$/1yrs
Matvey Petrov0LW100.006142706464636160425355545950501505722975,000$/2yrs
Jaycob Megna0D100.0069447564787876654061567261806115067323,500,000$/4yrs
Jarred Tinordi0D100.0070566663797575624058567060876915066333,000,000$/4yrs
Chad Ruhwedel0D100.0062437469667577644061577063877015066353,000,000$/4yrs
Spencer Stastney0D100.005640797575836766406261706759501506625950,000$/1yrs
Kevin Gravel0D100.0059427264697372624058556760806515064331,500,000$/4yrs
William Lagesson0D100.0065486968717268624057567062695315064291,400,000$/3yrs
Ian Mitchell0D100.0058417272606865634063566864605015063261,500,000$/1yrs
Jack Ahcan0D100.0055437071587068674065566964575015063281,400,000$/4yrs
Mikko Kokkonen0D100.0062427166646463614057546660525015061241,350,000$/3yrs
Scratches
Clark Bishop0C100.0059456665637069636159585962595415060291,600,000$/4yrs
Bogdan Trineyev0RW100.006642716566646361425456636151501505923975,000$/2yrs
Ryder Rolston0RW100.006441736466646362425957596151501505923975,000$/2yrs
Nathan Légaré0RW100.0061555763656563624253575561525015058241,400,000$/4yrs
Ryan McAllister0C100.005940706562605858425554555951501505723975,000$/2yrs
Bryce McConnell-Barker (R)0C100.006142646262616058415555585850501505721975,000$/3yrs
Simon Robertsson (R)0RW100.006241676262605858415555595850501505722975,000$/3yrs
Alex Beaucage0RW100.0062417165656259564052515857515015057231,250,000$/4yrs
Josh Filmon (R)0LW100.005840666160585654405353545650501505521975,000$/3yrs
Owen Lindmark (R)0C100.005940666061605854475453555551501505524975,000$/1yrs
Blake McLaughlin0C/LW/RW100.005740716560625955405151545753501505525950,000$/1yrs
Luca Cagnoni (R)0D100.005841666960585764406264646650501506120975,000$/3yrs
Ryan Ufko (R)0D100.005941696760636262406159646350501506122975,000$/3yrs
Jorian Donovan (R)0D100.005948586262616060405555595950501505821975,000$/3yrs
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
Jesper Wallstedt0100.006861647068687167696759505015062221,200,000$/2yrs
Troy Grosenick0100.006362625460616360626159706015057351,250,000$/4yrs
Scratches
Louis Domingue0100.006971726769697167697069686115064332,200,000$/4yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Travis Green8684848478731CAN543500,000$
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 MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Jack StudnickaMonstersMonsters (CLB)C/RW82324476-1042101172477214012.96%2221.4792433000123552.51%200.936130.81
2Tyler PitlickMonstersMonsters (CLB)C/RW82324375-172751212167413814.81%3223.251515300221326348.29%210.912170.77
3Matthew PhillipsMonstersMonsters (CLB)RW822922517200101151428619.21%1818.41881600003754.17%010.62170.62
4Max SassonMonstersMonsters (CLB)C82222648131201111564011014.10%3219.73000314726352.05%000.59240.64
5Jayson MegnaMonstersMonsters (CLB)C82113243-16241095106377410.38%1318.2831316101553055.89%000.526170.37
6Gabriel FortierMonstersMonsters (CLB)LW82202141-203810109106436418.87%3922.3788161011272148.60%000.50000.33
7Jaycob MegnaMonstersMonsters (CLB)D8243034-1175848334324.82%8923.00491300015100100.00%000.41000.38
8Jonathan GrudenMonstersMonsters (CLB)C/LW8217825-15491511671173323.94%1518.54527101613159.38%000.30000.15
9Matvey PetrovMonstersMonsters (CLB)LW821014241931511563203915.87%2918.31000033453043.75%000.29000.31
10Jarred TinordiMonstersMonsters (CLB)D8241923-48630838837324.55%9024.0337100221280275.00%000.28000.13
11Spencer StastneyMonstersMonsters (CLB)D8211415-680283213163.13%4118.1610100095000.00%000.18010.12
12Kevin GravelMonstersMonsters (CLB)D8221012-11140463610165.56%4015.4700000051050.00%000.15000.08
13Chad RuhwedelMonstersMonsters (CLB)D821910-616048379112.70%2518.5602201194000.00%000.12000.06
14Joe SnivelyMonstersMonsters (CLB)C5924632015145514.29%17.5500000001038.96%000.10010.09
15William LagessonMonstersMonsters (CLB)D82022-82752319660.00%1810.940000000000.00%000.0200-0.05
16Ian MitchellMonstersMonsters (CLB)D82011-675115010.00%199.8100000035000.00%000.0111-0.02
17Jack AhcanMonstersMonsters (CLB)D82011-300117020.00%129.200000007000.00%000.0100-0.00
18Mikko KokkonenMonstersMonsters (CLB)D8200010000000.00%00.470000000000.00%000.00000.00
Team Total or Average1453187300487-804201001234143745980513.01%53516.675688144120369151026312251.06%2979353387420.401861
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
1Louis DomingueMonstersMonsters (CLB)623116120.8842.253656271371180602210.70741620532
2Jesper WallstedtMonstersMonsters (CLB)2510840.8962.1713260248460265240.714142062121
3Troy GrosenickMonstersMonsters (CLB)10010.9173.16380022419000.4005020000
Team Total or Average884124170.8882.245021291871664886450.683608282653
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Alex Beaucage RW231,250,000$1,250,000$ 1,250,000$ 1,250,000$ 1,250,000$ UFA
Blake McLaughlin C/LW/RW25950,000$975,000$ RFA
Bogdan Trineyev RW23975,000$975,000$ 975,000$ RFA
Bryce McConnell-Barker C21975,000$975,000$ 975,000$ 975,000$ RFA
Chad Ruhwedel D353,000,000$3,000,000$ 3,000,000$ 3,000,000$ 3,000,000$ UFA
Clark Bishop C291,600,000$1,600,000$ 1,600,000$ 1,600,000$ 1,600,000$ UFA
Gabriel Fortier LW251,250,000$1,250,000$ RFA
Ian Mitchell D261,500,000$1,500,000$ UFA
Jack Ahcan D281,400,000$1,400,000$ 1,400,000$ 1,400,000$ 1,400,000$ UFA
Jack Studnicka C/RW261,250,000$1,250,000$ UFA
Jarred Tinordi D333,000,000$3,000,000$ 3,000,000$ 3,000,000$ 3,000,000$ UFA
Jaycob Megna D323,500,000$3,500,000$ 3,500,000$ 3,500,000$ 3,500,000$ UFA
Jayson Megna C352,500,000$2,500,000$ 2,500,000$ 2,500,000$ 2,500,000$ UFA
Jesper Wallstedt G221,200,000$1,200,000$ 1,200,000$ RFA
Joe Snively C291,200,000$1,200,000$ UFA
Jonathan Gruden C/LW251,250,000$1,250,000$ RFA
Jorian Donovan D21975,000$975,000$ 975,000$ 975,000$ RFA
Josh Filmon LW21975,000$975,000$ 975,000$ 975,000$ RFA
Kevin Gravel D331,500,000$1,500,000$ 1,500,000$ 1,500,000$ 1,500,000$ UFA
Louis Domingue G332,200,000$2,200,000$ 2,200,000$ 2,200,000$ 2,200,000$ UFA
Luca Cagnoni D20975,000$975,000$ 975,000$ 975,000$ RFA
Matthew Phillips RW271,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Matvey Petrov LW22975,000$975,000$ 975,000$ RFA
Max Sasson C24870,000$975,000$ 975,000$ RFA
Mikko Kokkonen D241,350,000$1,350,000$ 1,350,000$ 1,350,000$ UFA
Nathan Légaré RW241,400,000$1,400,000$ 1,400,000$ 1,400,000$ 1,400,000$ UFA
Owen Lindmark C24975,000$975,000$ RFA
Ryan McAllister C23975,000$975,000$ 975,000$ RFA
Ryan Ufko D22975,000$975,000$ 975,000$ 975,000$ RFA
Ryder Rolston RW23975,000$975,000$ 975,000$ RFA
Simon Robertsson RW22975,000$975,000$ 975,000$ 975,000$ RFA
Spencer Stastney D25950,000$975,000$ RFA
Troy Grosenick G351,250,000$1,250,000$ 1,250,000$ 1,250,000$ 1,250,000$ UFA
Tyler Pitlick C/RW332,500,000$2,500,000$ 2,500,000$ 2,500,000$ 2,500,000$ UFA
William Lagesson D291,400,000$1,400,000$ 1,400,000$ 1,400,000$ UFA

Lines
Forward Lines


# - Gabriel Fortier


# - Tyler Pitlick


# - Jack Studnicka


# - Jonathan Gruden


# - Jayson Megna


# - Tyler Pitlick


# - Matvey Petrov


# - Max Sasson


# - Matthew Phillips


# - Gabriel Fortier


# - Tyler Pitlick


# - Jack Studnicka

Defensive Pairings


# - Jaycob Megna


# - Jarred Tinordi


# - Chad Ruhwedel


# - Spencer Stastney


# - Kevin Gravel


# - William Lagesson

1st Power Play Unit


# - Gabriel Fortier


# - Jack Studnicka


# - Tyler Pitlick


# - Jaycob Megna


# - Jarred Tinordi

2nd Power Play Unit


# - Jonathan Gruden


# - Jayson Megna


# - Matthew Phillips


# - Chad Ruhwedel


# - Spencer Stastney

Goalies


# - Jesper Wallstedt


# - Troy Grosenick

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
1MonstersGulls2100100041341.00045901306986262227757061392234226400.00%10100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103280.0%18.2%95.7%113.8LUCKY
2MonstersMoose3010100135-230.50034700306986264327757061392431412499222.22%6183.33%0632119552.89%627124750.28%46986254.41%146957215218922037103220.0%7.0%88.4%95.3Unlucky
3MonstersBruins2200000095441.0009132200306986264627757061392401414303133.33%220.00%1632119552.89%627124750.28%46986254.41%146957215218922037103272.7%19.6%87.5%107.1FUN
4MonstersAmericans412001001217-530.375122032013069862675277570613929330365911436.36%13376.92%1632119552.89%627124750.28%46986254.41%146957215218922037103236.4%16.0%81.7%97.7FUN
5MonstersHeat2200000063341.00068140030698626302775706139224106284250.00%3166.67%0632119552.89%627124750.28%46986254.41%146957215218922037103266.7%20.0%87.5%107.5FUN
6MonstersWolves3020001059-420.33356110030698626662775706139299382443600.00%12466.67%1632119552.89%627124750.28%46986254.41%146957215218922037103250.0%7.6%90.9%98.5Unlucky
7MonstersIceHogs2020000015-400.00012310306986262827757061392381011263133.33%30100.00%0632119552.89%627124750.28%46986254.41%14695721521892203710320.0%3.6%86.8%90.4Unlucky
8MonstersEagles2110000063320.5006111701306986263327757061392381223404375.00%4175.00%0632119552.89%627124750.28%46986254.41%146957215218922037103260.0%18.2%92.1%110.3LUCKY
9MonstersStars2000101042241.000459003069862620277570613921770282150.00%000.00%0632119552.89%627124750.28%46986254.41%146957215218922037103260.0%20.0%88.2%108.2FUN
10MonstersGriffins2110000067-120.5006101600306986263927757061392732610325480.00%5180.00%0632119552.89%627124750.28%46986254.41%146957215218922037103225.0%15.4%90.4%105.8FUN
11MonstersCondors2200000082641.0008142201306986262627757061392291128336350.00%40100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103271.4%30.8%93.1%123.9LUCKY
12MonstersCheckers 12200000072541.00071118003069862643277570613923286263266.67%3233.33%0632119552.89%627124750.28%46986254.41%1469572152189220371032100.0%16.3%93.8%110.0LUCKY
13MonstersReign2000001122030.750224003069862628277570613923112625100.00%30100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103250.0%7.1%93.5%100.7DULL
14MonstersWild2200000051441.000581301306986263527757061392131430000.00%20100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103283.3%14.3%92.3%106.6LUCKY
15MonstersRocket4000200277060.750711180030698626782775706139249612548112.50%6266.67%1632119552.89%627124750.28%46986254.41%146957215218922037103254.5%9.0%85.7%94.7FUN
16MonstersAdmirals2100010076130.750781500306986263727757061392501410297228.57%5260.00%0632119552.89%627124750.28%46986254.41%146957215218922037103255.6%18.9%88.0%106.9FUN
17MonstersComets4110110054150.625581301306986266627757061392491017628112.50%60100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103250.0%7.6%91.8%99.4DULL
18MonstersIslanders2110000043120.5004610003069862621277570613921778324375.00%40100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103225.0%19.0%82.4%101.4FUN
19MonstersWolf Pack2010001045-120.5004591030698626272775706139259184269222.22%20100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103228.6%14.8%91.5%106.3LUCKY
20MonstersBelleville Senators501002111318-550.50013233600306986261092775706139211841467012325.00%18666.67%0632119552.89%627124750.28%46986254.41%146957215218922037103245.5%11.9%84.7%96.7FUN
21MonstersPhantoms2200000052341.00058130030698626392775706139240423510440.00%110.00%0632119552.89%627124750.28%46986254.41%146957215218922037103250.0%12.8%95.0%107.8LUCKY
22MonstersRoadrunners2010001045-120.5004480030698626222775706139234132342150.00%110.00%0632119552.89%627124750.28%46986254.41%146957215218922037103242.9%18.2%85.3%103.5FUN
23Monsters Penguins210000011110130.75011172800306986266027757061392772616294125.00%8187.50%1632119552.89%627124750.28%46986254.41%146957215218922037103252.6%18.3%87.0%105.3FUN
24MonstersBarracuda512011001313050.5001322350030698626113277570613921013528898225.00%9366.67%0632119552.89%627124750.28%46986254.41%146957215218922037103252.4%11.5%87.1%98.6FUN
25MonstersThunderbirds2110000066020.500681400306986265227757061392721413284250.00%40100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103240.0%11.5%91.7%103.2LUCKY
26MonstersCrunch4020001159-430.375571210306986265727757061392641919617228.57%70100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103225.0%8.8%85.9%94.7Unlucky
27MonstersMarlies411001011215-340.500122032003069862689277570613921325127528112.50%11554.55%1632119552.89%627124750.28%46986254.41%146957215218922037103252.4%13.5%88.6%102.1FUN
28MonstersCanucks412000011216-430.3751218301130698626882775706139210623277211545.45%11372.73%0632119552.89%627124750.28%46986254.41%146957215218922037103235.0%13.6%84.9%98.5FUN
29MonstersHershey Bears2010010037-410.2503470030698626402775706139241134355240.00%2150.00%0632119552.89%627124750.28%46986254.41%146957215218922037103214.3%7.5%82.9%90.4Unlucky
30MonstersSilver Knights2110000067-120.50061016103069862633277570613922818634200.00%30100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103246.2%18.2%75.0%93.2FUN
31MonstersCheckers 22000101064241.000681400306986262627757061392393210443133.33%50100.00%0632119552.89%627124750.28%46986254.41%146957215218922037103255.6%23.1%89.7%112.8FUN
_Vs Division1749035263740-3290.85337549111306986263192775706139238211675262461328.26%35780.00%2632119552.89%627124750.28%46986254.41%146957215218922037103242.1%11.6%89.5%101.1FUN
_Vs Conference46121403647114129-15510.55411417729133306986269042775706139210163082626861093229.36%1063071.70%6632119552.89%627124750.28%46986254.41%146957215218922037103245.3%12.6%87.3%99.9FUN
_Since Last GM Reset822524088892012010990.6042013065075730698626149127757061392166954143312611735632.37%1644075.61%6632119552.89%627124750.28%46986254.41%146957215218922037103247.4%13.5%88.0%101.4FUN
Total822524088892012010990.6042013065075730698626149127757061392166954143312611735632.37%1644075.61%6632119552.89%627124750.28%46986254.41%146957215218922037103247.4%13.5%88.0%101.4FUN

Puck Time
Offensive Zone 17
Neutral Zone 24
Defensive Zone 18
Puck Time
Offensive Zone Start 1195
Neutral Zone Start 862
Defensive Zone Start 1247
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1728
Faceoffs Lost 1576
Team Average Shots after League Average Shots after
1st Period 3.49.57
2nd Period 10.320.31
3rd Period 17.830.68
Overtime 18.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.40.64
2nd Period 1.21.65
3rd Period 2.32.67
Overtime 2.62.83
Even Strenght Goal 134
PP Goal 56
PK Goal 6
Empty Net Goal 5
Home Away
Win 2813
Lost 618
Overtime Lost 710
PP Attempt 173
PP Goal 56
PK Attempt 164
PK Goal Against 40
Home
Shots For 18.2
Shots Against 20.4
Goals For 2.5
Goals Against 2.5
Hits 15.4
Shots Blocked 6.6
Pim 5.3
Schedule
DateMatchup Result Detail
Wed, Oct 8MonstersS J@MonstersCLBS J2,CLB4RECAP
Thu, Oct 9MonstersCLB@MonstersNJDCLB1,NJD2 (OT)RECAP
Sun, Oct 12MonstersOTT@MonstersCLBOTT4,CLB3 (OT)RECAP
Tue, Oct 14MonstersCLB@MonstersOTTCLB4,OTT3 (SO)RECAP
Thu, Oct 16MonstersCLB@MonstersTAMCLB1,TAM3RECAP
Fri, Oct 17MonstersCLB@MonstersVANCLB1,VAN4RECAP
Sun, Oct 19MonstersNJD@MonstersCLBNJD0,CLB2RECAP
Wed, Oct 22MonstersS J@MonstersCLBS J3,CLB4 (OT)RECAP
Sat, Oct 25MonstersCLB@MonstersCARCLB3,CAR2 (SO)RECAP
Mon, Oct 27MonstersVAN@MonstersCLBVAN5,CLB4 (SO)RECAP
Wed, Oct 29MonstersCLB@MonstersS JCLB2,S J3 (OT)RECAP
Fri, Oct 31MonstersWPG@MonstersCLBWPG2,CLB1 (SO)RECAP
Sun, Nov 2MonstersCLB@MonstersMTLCLB1,MTL2 (SO)RECAP
Mon, Nov 3MonstersCLB@MonstersOTTCLB3,OTT4 (SO)RECAP
Wed, Nov 5MonstersBUF@MonstersCLBBUF0,CLB2RECAP
Thu, Nov 6MonstersCLB@MonstersBUFCLB4,BUF8RECAP
Sun, Nov 9MonstersMTL@MonstersCLBMTL1,CLB2 (OT)RECAP
Tue, Nov 11MonstersNYI@MonstersCLBNYI1,CLB3RECAP
Thu, Nov 13MonstersCLB@MonstersMTLCLB3,MTL2 (OT)RECAP
Fri, Nov 14MonstersCOL@MonstersCLBCOL0,CLB4RECAP
Mon, Nov 17MonstersCLB@MonstersOTTCLB2,OTT5RECAP
Tue, Nov 18MonstersCLB@MonstersPHOCLB2,PHO4RECAP
Thu, Nov 20MonstersPIT@MonstersCLBPIT3,CLB5RECAP
Sat, Nov 22MonstersWPG@MonstersCLBWPG1,CLB2 (OT)RECAP
Tue, Nov 25MonstersCLB@MonstersS JCLB2,S J3RECAP
Thu, Nov 27MonstersSEA@MonstersCLBSEA3,CLB4 (OT)RECAP
Fri, Nov 28MonstersCLB@MonstersSEACLB2,SEA1 (SO)RECAP
Sun, Nov 30MonstersLOS@MonstersCLBLOS1,CLB2 (SO)RECAP
Tue, Dec 2MonstersCLB@MonstersVANCLB5,VAN7RECAP
Thu, Dec 4MonstersPHO@MonstersCLBPHO1,CLB2 (SO)RECAP
Mon, Dec 8MonstersFLO@MonstersCLBFLO1,CLB3RECAP
Wed, Dec 10MonstersCLB@MonstersCOLCLB2,COL3RECAP
Fri, Dec 12MonstersCLB@MonstersNJDCLB0,NJD1RECAP
Sun, Dec 14MonstersANA@MonstersCLBANA1,CLB2 (OT)RECAP
Tue, Dec 16MonstersNAS@MonstersCLBNAS3,CLB5RECAP
Thu, Dec 18MonstersCLB@MonstersFLOCLB4,FLO1RECAP
Sat, Dec 20MonstersCAR@MonstersCLBCAR2,CLB1RECAP
Mon, Dec 22MonstersCLB@MonstersSTLCLB3,STL4RECAP
Wed, Dec 24MonstersCLB@MonstersMINCLB3,MIN1RECAP
Fri, Dec 26MonstersCLB@MonstersNASCLB2,NAS3 (OT)RECAP
Sat, Dec 27MonstersMIN@MonstersCLBMIN0,CLB2RECAP
Wed, Dec 31MonstersBUF@MonstersCLBBUF3,CLB1RECAP
Sat, Jan 3MonstersSTL@MonstersCLBSTL2,CLB3RECAP
Mon, Jan 5MonstersCLB@MonstersWASCLB1,WAS4RECAP
Wed, Jan 7MonstersOTT@MonstersCLBOTT2,CLB1 (OT)RECAP
Sat, Jan 10MonstersMTL@MonstersCLBMTL2,CLB1 (SO)RECAP
Sun, Jan 11MonstersCLB@MonstersPHICLB3,PHI1RECAP
Tue, Jan 13MonstersEDM@MonstersCLBEDM2,CLB4RECAP
Fri, Jan 16MonstersCLB@MonstersLOSCLB0,LOS1 (SO)RECAP
Sat, Jan 17MonstersCLB@MonstersANACLB2,ANA0RECAP
Mon, Jan 19MonstersWAS@MonstersCLBWAS3,CLB2 (OT)RECAP
Wed, Jan 21MonstersCLB@MonstersBUFCLB5,BUF6 (OT)RECAP
Thu, Jan 22MonstersCAL@MonstersCLBCAL2,CLB4RECAP
Sun, Jan 25MonstersCLB@MonstersDALCLB2,DAL1 (OT)RECAP
Mon, Jan 26MonstersNYR@MonstersCLBNYR4,CLB2RECAP
Wed, Jan 28MonstersCLB@MonstersWPGCLB0,WPG2RECAP
Fri, Jan 30MonstersVAN@MonstersCLBVAN0,CLB2RECAP
Mon, Feb 2MonstersCLB@MonstersNYICLB1,NYI2RECAP
Tue, Feb 3MonstersTAM@MonstersCLBTAM3,CLB4 (SO)RECAP
Fri, Feb 6MonstersCLB@MonstersCARCLB1,CAR5RECAP
Sat, Feb 7MonstersPHI@MonstersCLBPHI1,CLB2RECAP
Tue, Feb 10MonstersCLB@MonstersDETCLB3,DET5RECAP
Wed, Feb 11MonstersDET@MonstersCLBDET2,CLB3RECAP
Sat, Feb 14MonstersCLB@MonstersPITCLB6,PIT7 (SO)RECAP
Sun, Feb 15MonstersTAM@MonstersCLBTAM2,CLB0RECAP
Tue, Feb 17MonstersCLB@MonstersBOSCLB6,BOS4RECAP
Thu, Feb 19MonstersCHI@MonstersCLBCHI2,CLB0RECAP
Sun, Feb 22MonstersCLB@MonstersCHICLB2,CHI4RECAP
Mon, Feb 23MonstersCHI@MonstersCLBCHI3,CLB4RECAP
Thu, Feb 26MonstersBOS@MonstersCLBBOS1,CLB3RECAP
Fri, Feb 27MonstersCLB@MonstersCALCLB2,CAL1RECAP
Sat, Feb 28MonstersCLB@MonstersNYRCLB2,NYR1 (SO)RECAP
Tue, Mar 3MonstersNJD@MonstersCLBNJD1,CLB2 (OT)RECAP
Thu, Mar 5MonstersCLB@MonstersEDMCLB4,EDM0RECAP
Fri, Mar 6MonstersCLB@MonstersCHICLB1,CHI3RECAP
Sun, Mar 8MonstersDAL@MonstersCLBDAL1,CLB2 (SO)RECAP
Thu, Mar 12MonstersTOR@MonstersCLBTOR5,CLB4 (SO)RECAP
Sun, Mar 15MonstersCLB@MonstersTORCLB2,TOR3 (OT)RECAP
Mon, Mar 16MonstersS J@MonstersCLBS J2,CLB1RECAP
Thu, Mar 19MonstersCLB@MonstersTORCLB2,TOR4RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Sat, Mar 21MonstersTOR@MonstersCLBTOR3,CLB4RECAP
Mon, Mar 23MonstersCLB@MonstersTAMCLB0,TAM1 (SO)RECAP

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
5,035,000$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityCleveland
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price35$15$$$$
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
0 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
5,035,000$ 5,035,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
5,560,884$ 0$ 5,060,982$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 22 32,751$ 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

Marlies60-15-7, 127pts34Final
Monsters41-24-17, 99pts

Monsters41-24-17, 99pts01Final
Crunch43-28-11, 97pts

Monsters41-24-17, 99ptsTue, Mar 24
Crunch43-28-11, 97pts

Monsters41-24-17, 99ptsFri, Oct 10
Comets28-41-13, 69pts

Belleville Senators46-26-10, 102ptsMon, Oct 13
Monsters41-24-17, 99pts

TRANSACTIONS



 

Team Info

Monsters
Head CoachTravis Green
DivisionNortheast Division
CityCleveland
Stadium Capacity3,000

Monsters Affiliation

Monsters
General ManagerDave Scott
Head CoachMike Sullivan
StadiumNationwide Arena
Capacity21,136

Team Leaders


GOALS
Jack Studnicka
MonstersMonsters
32
GOALS
POINTS
Jack Studnicka
MonstersMonsters
76
POINTS
WINS
Louis Domingue
MonstersMonsters
31
WINS
Expanded Player Leaderboard

Team Stats


Goals For
201
2.45 GFG
Goals Against
201
2.45 GAA
Power Play Percentage
32.4%
56 GF
Penalty Kill Percentage
75.6%
40 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain