MonstersCleveland Monsters
7-6-2, 16pts · 9th 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
Max Sasson0C/LW99.006740817775817172656570687356501506825870,000$/1yrs
Jesper Fast0RW100.0069428166677380664465586464867315065342,000,000$/4yrs
Jayson Megna0C/LW/RW99.0060437069616968665264626766757015065362,500,000$/3yrs
Jack Studnicka0C/RW100.0064427272717470665061606366706215064271,750,000$/4yrs
Luca Del Bel Belluz (R)0C/LW100.006140747064636166646462606650501506222975,000$/3yrs
Matthew Phillips0RW99.0053417572537169664465605866585115062281,200,000$/2yrs
Clark Bishop0C100.0056466564637271636159585562635815060301,600,000$/3yrs
Jonathan Gruden0LW99.0059466366626765616058565961545015059261,750,000$/4yrs
Matvey Petrov0LW100.006141726365626059415353545851501505623975,000$/1yrs
Ryan McAllister0LW100.005741706561615856415252535852501505524975,000$/1yrs
Gabriel Fortier0LW100.0054406659566058565452535456535015055261,750,000$/4yrs
Spencer Stastney0D99.0061408476768675704066637370635315069262,000,000$/4yrs
Jon Merrill0D100.0063408167747583654059596964877415067342,500,000$/4yrs
Jan Rutta0D100.0059406867737876654061606964806715066352,000,000$/4yrs
Jack Ahcan0D100.0058446774577169684066617067595015065291,400,000$/3yrs
Alex Petrovic0D100.0062466364687272644062556861686115064341,500,000$/4yrs
Ian Mitchell0D100.0063417370616866644063556963555015063271,750,000$/4yrs
Kevin Gravel0D100.0056436860667171624056536058706615061341,500,000$/3yrs
Scratches
Derek Ryan0C/RW100.0071418575698084698966647269847415070394,500,000$/1yrs
Tyler Pitlick0C/RW100.0074506970747579664261626766827215066342,500,000$/3yrs
Austin Watson0LW100.0062655162697272634259586261726215062343,000,000$/4yrs
Landon Sim (R)0C/LW/RW100.0060426464626060604160606060505015059211,250,000$/4yrs
Ryder Rolston0RW100.006241736565656362425655576152501505824975,000$/1yrs
Bryce McConnell-Barker0C100.006042706564636261425656546050501505822975,000$/2yrs
Nathan Legare (R)0RW100.0061535863656664624253575360535015058251,750,000$/4yrs
Nathan Légaré0RW100.0061555763656563624253575561525015058251,400,000$/3yrs
Joe Snively0C100.005141656053656459425955525860501505730
Josh Filmon0LW100.005641706558605755415252535750501505522975,000$/2yrs
Simon Robertsson0RW100.005842706263615856415252545651501505523975,000$/2yrs
Jackson Kunz (R)0C100.0061406854705855524951505252515015054231,750,000$/4yrs
Alex Beaucage0RW100.0057406659595654524051505453515015053241,250,000$/3yrs
Blake McLaughlin0C/LW/RW100.0053406459565754524050505253535015053261,750,000$/4yrs
Owen Lindmark0C100.0054406355565552514650505151525015052251,750,000$/4yrs
Jaycob Megna0D100.0066437163727372634056547060706315064333,500,000$/3yrs
William Lagesson0D100.0066446866687269634059547061645615064301,400,000$/2yrs
Jarred Tinordi0D100.0066526159737171604053536858726315063343,000,000$/3yrs
Luca Cagnoni0D100.005642707360625967406562676750501506321975,000$/2yrs
Jorian Donovan0D100.006054586565636262405955606050501505922975,000$/2yrs
Sean Behrens (R)0D100.0056416868556159594057526459515015059232,000,000$/4yrs
Mikko Kokkonen0D100.0056416559585957554053526055525015056251,350,000$/2yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Jesper Wallstedt0100.007774768181818081817873565215072231,200,000$/1yrs
Magnus Hellberg0100.006972767372727471727269726515066352,500,000$/4yrs
Scratches
Louis Domingue0100.006668666667687068696666706315062342,200,000$/3yrs
Amir Miftakhov0100.006662645763636662646454545015058261,250,000$/4yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Travis Green8986898684791CAN552500,000$
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
1Max SassonMonstersMonsters (CLB)C/LW1581220-1953361213313.11%422.51178000181054.97%001.33031.22
2Jayson MegnaMonstersMonsters (CLB)C/LW/RW1576133602949112714.29%622.6352700090159.52%000.87020.94
3Spencer StastneyMonstersMonsters (CLB)D151910-300142616113.85%1226.4313400021000.00%000.67110.57
4Matthew PhillipsMonstersMonsters (CLB)RW15246-52024359325.71%219.8402200071044.44%000.40110.39
5Jonathan GrudenMonstersMonsters (CLB)LW9426020221321230.77%620.4011200090087.50%000.67000.67
6Jack AhcanMonstersMonsters (CLB)D1505521201515470.00%1319.640000009000.00%000.33000.24
7Jesper FastMonstersMonsters (CLB)RW14314-220162861610.71%617.4620200000137.50%000.29130.34
8Jon MerrillMonstersMonsters (CLB)D14134-45516163106.25%1823.7900000021000.00%000.29000.20
9Tyler PitlickMonstersMonsters (CLB)C/RW6134000883712.50%220.6700000041042.27%000.67000.57
10Luca Del Bel BelluzMonstersMonsters (CLB)C/LW15213-84014256238.00%516.9400000091048.11%000.20000.09
11Jack StudnickaMonstersMonsters (CLB)C/RW15213-200223013266.67%217.7400000040054.29%000.20010.32
12Matvey PetrovMonstersMonsters (CLB)LW90221001110820.00%415.9600000050040.00%000.22000.33
13Ian MitchellMonstersMonsters (CLB)D12022-20003100.00%313.070000001000.00%000.17000.07
14Austin WatsonMonstersMonsters (CLB)LW6112200762416.67%211.970000001000.00%000.33000.45
15Alex PetrovicMonstersMonsters (CLB)D15022-29567010.00%1014.940000005000.00%000.1300-0.01
16Kevin GravelMonstersMonsters (CLB)D1001100011100.00%16.510110000000.00%000.10000.08
17Jarred TinordiMonstersMonsters (CLB)D301112001000.00%16.080000000000.00%000.33000.25
18Clark BishopMonstersMonsters (CLB)C151014401012348.33%09.7100000001052.00%000.07000.17
19Jan RuttaMonstersMonsters (CLB)D140110401012640.00%919.7300000012000.00%000.07000.10
20Gabriel FortierMonstersMonsters (CLB)LW9101-6001130233.33%19.1300000000050.00%000.1100-0.10
21Ryan McAllisterMonstersMonsters (CLB)LW900022092420.00%614.040000000000.00%000.00000.11
22Ryder RolstonMonstersMonsters (CLB)RW2000-10001000.00%16.910000000000.00%000.0000-0.11
23Bryce McConnell-BarkerMonstersMonsters (CLB)C2000-10001100.00%06.6200000000025.00%000.0000-0.14
24Landon SimMonstersMonsters (CLB)C/LW/RW300000020100.00%06.530000000000.00%000.0000-0.01
25Luca CagnoniMonstersMonsters (CLB)D300000001000.00%13.270000000000.00%000.00000.03
26Jaycob MegnaMonstersMonsters (CLB)D400000000000.00%00.82000000000100.00%000.00000.00
27William LagessonMonstersMonsters (CLB)D600002040020.00%611.490000000000.00%000.0001-0.01
Team Total or Average270345791-2265152843661212259.29%12116.701016261560001445251.98%7338685000.40312
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
1Jesper WallstedtMonstersMonsters (CLB)147520.8992.398550034337156100.75012141100
2Magnus HellbergMonstersMonsters (CLB)10100.8973.00600032911000.0000114000
Team Total or Average157620.8992.439150037366167100.750121515100
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 RW241,250,000$1,250,000$ 1,250,000$ 1,250,000$ UFA
Alex Petrovic D341,500,000$1,500,000$ 1,500,000$ 1,500,000$ 1,500,000$ UFA
Amir Miftakhov G261,250,000$1,250,000$ 1,250,000$ 1,250,000$ 1,250,000$ UFA
Austin Watson LW343,000,000$3,000,000$ 3,000,000$ 3,000,000$ 3,000,000$ UFA
Blake McLaughlin C/LW/RW261,750,000$1,750,000$ 1,750,000$ 1,750,000$ 1,750,000$ UFA
Bryce McConnell-Barker C22975,000$975,000$ 975,000$ RFA
Clark Bishop C301,600,000$1,600,000$ 1,600,000$ 1,600,000$ UFA
Derek Ryan C/RW394,500,000$4,500,000$ UFA
Gabriel Fortier LW261,750,000$1,750,000$ 1,750,000$ 1,750,000$ 1,750,000$ UFA
Ian Mitchell D271,750,000$1,750,000$ 1,750,000$ 1,750,000$ 1,750,000$ UFA
Jack Ahcan D291,400,000$1,400,000$ 1,400,000$ 1,400,000$ UFA
Jack Studnicka C/RW271,750,000$1,750,000$ 1,750,000$ 1,750,000$ 1,750,000$ UFA
Jackson Kunz C231,750,000$1,750,000$ 1,750,000$ 1,750,000$ 1,750,000$ UFA
Jan Rutta D352,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Jarred Tinordi D343,000,000$3,000,000$ 3,000,000$ 3,000,000$ UFA
Jaycob Megna D333,500,000$3,500,000$ 3,500,000$ 3,500,000$ UFA
Jayson Megna C/LW/RW362,500,000$2,500,000$ 2,500,000$ 2,500,000$ UFA
Jesper Fast RW342,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Jesper Wallstedt G231,200,000$1,200,000$ RFA
Joe Snively C300$UFA
Jon Merrill D342,500,000$2,500,000$ 2,500,000$ 2,500,000$ 2,500,000$ UFA
Jonathan Gruden LW261,750,000$1,750,000$ 1,750,000$ 1,750,000$ 1,750,000$ UFA
Jorian Donovan D22975,000$975,000$ 975,000$ RFA
Josh Filmon LW22975,000$975,000$ 975,000$ RFA
Kevin Gravel D341,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Landon Sim C/LW/RW211,250,000$1,250,000$ 1,250,000$ 1,250,000$ 1,250,000$ RFA
Louis Domingue G342,200,000$2,200,000$ 2,200,000$ 2,200,000$ UFA
Luca Cagnoni D21975,000$975,000$ 975,000$ RFA
Luca Del Bel Belluz C/LW22975,000$975,000$ 975,000$ 975,000$ RFA
Magnus Hellberg G352,500,000$2,500,000$ 2,500,000$ 2,500,000$ 2,500,000$ UFA
Matthew Phillips RW281,200,000$1,200,000$ 1,200,000$ UFA
Matvey Petrov LW23975,000$975,000$ RFA
Max Sasson C/LW25870,000$975,000$ RFA
Mikko Kokkonen D251,350,000$1,350,000$ 1,350,000$ RFA
Nathan Legare RW251,750,000$1,750,000$ 1,750,000$ 1,750,000$ 1,750,000$ UFA
Nathan Légaré RW251,400,000$1,400,000$ 1,400,000$ 1,400,000$ UFA
Owen Lindmark C251,750,000$1,750,000$ 1,750,000$ 1,750,000$ 1,750,000$ UFA
Ryan McAllister LW24975,000$975,000$ RFA
Ryder Rolston RW24975,000$975,000$ RFA
Sean Behrens D232,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ RFA
Simon Robertsson RW23975,000$975,000$ 975,000$ RFA
Spencer Stastney D262,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Tyler Pitlick C/RW342,500,000$2,500,000$ 2,500,000$ 2,500,000$ UFA
William Lagesson D301,400,000$1,400,000$ 1,400,000$ UFA

Lines
Forward Lines


# - Jonathan Gruden


# - Max Sasson


# - Jayson Megna


# - Matvey Petrov


# - Jayson Megna


# - Jesper Fast


# - Ryan McAllister


# - Jack Studnicka


# - Matthew Phillips


# - Gabriel Fortier


# - Luca Del Bel Belluz


# - Matthew Phillips

Defensive Pairings


# - Spencer Stastney


# - Jon Merrill


# - Jan Rutta


# - Jack Ahcan


# - Alex Petrovic


# - Ian Mitchell

1st Power Play Unit


# - Jonathan Gruden


# - Max Sasson


# - Jayson Megna


# - Spencer Stastney


# - Jon Merrill

2nd Power Play Unit


# - Matvey Petrov


# - Jayson Megna


# - Jesper Fast


# - Jan Rutta


# - Jack Ahcan

Goalies


# - Jesper Wallstedt


# - Magnus Hellberg

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
1MonstersMoose1100000051421.00058130061215424891451222126602311100.00%000.00%014326254.58%14127451.46%9718552.43%29113828815533416680.0%20.8%96.2%117.0LUCKY
2MonstersBruins1010000023-100.000246006121543589145122213311618200.00%3166.67%014326254.58%14127451.46%9718552.43%29113828815533416650.0%5.7%90.9%96.6Unlucky
3MonstersRocket2100100074341.00071118006121543189145122215019123933100.00%20100.00%014326254.58%14127451.46%9718552.43%29113828815533416650.0%22.6%92.0%114.6LUCKY
4MonstersComets2000010135-220.5003690061215437891451222123131233100.00%6266.67%014326254.58%14127451.46%9718552.43%29113828815533416650.0%8.1%78.3%86.4Unlucky
5MonstersBelleville Senators1010000013-200.00012300612154388914512221256719200.00%10100.00%014326254.58%14127451.46%9718552.43%29113828815533416625.0%2.6%88.0%90.6Unlucky
6MonstersPhantoms1100000032121.000358006121543489145122211530232150.00%000.00%014326254.58%14127451.46%9718552.43%29113828815533416650.0%8.8%86.7%95.5Unlucky
7MonstersRoadrunners1000001032121.0003360061215429891451222121322411100.00%110.00%014326254.58%14127451.46%9718552.43%29113828815533416666.7%10.3%90.5%100.8FUN
8MonstersMarlies2020000027-500.00024600612154478914512221682312304250.00%6350.00%014326254.58%14127451.46%9718552.43%2911382881553341660.0%4.3%89.7%94.0Unlucky
9MonstersCanucks3110001098140.6679132200612154788914512221762810654125.00%5180.00%014326254.58%14127451.46%9718552.43%29113828815533416653.3%11.5%89.5%101.0FUN
10MonstersHershey Bears1010000013-200.000112006121541389145122212994104125.00%2150.00%014326254.58%14127451.46%9718552.43%2911382881553341660.0%7.7%89.7%97.3Unlucky
_Vs Division42401111710-3101.2507121900612154848914512221672516667228.57%8362.50%014326254.58%14127451.46%9718552.43%29113828815533416641.7%8.3%85.1%93.4Unlucky
_Vs Conference1336011112835-7120.4622846740061215431389145122213191126323722836.36%25868.00%014326254.58%14127451.46%9718552.43%29113828815533416642.6%8.9%89.0%98.0Unlucky
_Since Last GM Reset1546011213638-2160.53336579300612154366891451222136612165284241041.67%26965.38%014326254.58%14127451.46%9718552.43%29113828815533416647.3%9.8%89.6%99.5FUN
Total1546011213638-2160.53336579300612154366891451222136612165284241041.67%26965.38%014326254.58%14127451.46%9718552.43%29113828815533416647.3%9.8%89.6%99.5FUN

Puck Time
Offensive Zone 19
Neutral Zone 22
Defensive Zone 19
Puck Time
Offensive Zone Start 262
Neutral Zone Start 185
Defensive Zone Start 274
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 381
Faceoffs Lost 340
Team Average Shots after League Average Shots after
1st Period 5.99.57
2nd Period 15.620.31
3rd Period 23.730.68
Overtime 25.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.40.64
2nd Period 1.21.65
3rd Period 2.22.67
Overtime 2.52.83
Even Strenght Goal 26
PP Goal 10
PK Goal 0
Empty Net Goal 0
Home Away
Win 43
Lost 33
Overtime Lost 11
PP Attempt 24
PP Goal 10
PK Attempt 26
PK Goal Against 9
Home
Shots For 24.4
Shots Against 24.4
Goals For 2.4
Goals Against 2.5
Hits 18.9
Shots Blocked 8.1
Pim 4.3
Schedule
DateMatchup Result Detail
Sun, Oct 11MonstersBOS@MonstersCLBBOS3,CLB2RECAP
Mon, Oct 12MonstersCLB@MonstersOTTCLB1,OTT3RECAP
Thu, Oct 15MonstersCLB@MonstersNJDCLB2,NJD3 (OT)RECAP
Fri, Oct 16MonstersCLB@MonstersMTLCLB3,MTL1RECAP
Sun, Oct 18MonstersVAN@MonstersCLBVAN3,CLB4 (SO)RECAP
Tue, Oct 20MonstersWAS@MonstersCLBWAS3,CLB1RECAP
Thu, Oct 22MonstersNJD@MonstersCLBNJD2,CLB1 (SO)RECAP
Sat, Oct 24MonstersCLB@MonstersPHOCLB3,PHO2 (SO)RECAP
Mon, Oct 26MonstersCLB@MonstersWPGCLB5,WPG1RECAP
Wed, Oct 28MonstersPHI@MonstersCLBPHI2,CLB3RECAP
Fri, Oct 30MonstersCLB@MonstersVANCLB2,VAN4RECAP
Sun, Nov 1MonstersTOR@MonstersCLBTOR5,CLB2RECAP
Tue, Nov 3MonstersCLB@MonstersTORCLB0,TOR2RECAP
Thu, Nov 5MonstersMTL@MonstersCLBMTL3,CLB4 (OT)RECAP
Sun, Nov 8MonstersVAN@MonstersCLBVAN1,CLB3RECAP
Mon, Nov 9MonstersCLB@MonstersBUF
Wed, Nov 11MonstersCLB@MonstersBUF
Fri, Nov 13MonstersPHO@MonstersCLB
Sun, Nov 15MonstersCLB@MonstersTOR
Tue, Nov 17MonstersMIN@MonstersCLB
Thu, Nov 19MonstersCLB@MonstersWAS
Sat, Nov 21MonstersCLB@MonstersWPG
Mon, Nov 23MonstersWPG@MonstersCLB
Wed, Nov 25MonstersOTT@MonstersCLB
Fri, Nov 27MonstersCLB@MonstersSTL
Sun, Nov 29MonstersCLB@MonstersVAN
Mon, Nov 30MonstersDAL@MonstersCLB
Wed, Dec 2MonstersNJD@MonstersCLB
Fri, Dec 4MonstersCLB@MonstersNJD
Sun, Dec 6MonstersTOR@MonstersCLB
Mon, Dec 7MonstersCLB@MonstersCAL
Wed, Dec 9MonstersCLB@MonstersOTT
Fri, Dec 11MonstersVAN@MonstersCLB
Sun, Dec 13MonstersCLB@MonstersNYI
Tue, Dec 15MonstersCAL@MonstersCLB
Thu, Dec 17MonstersCOL@MonstersCLB
Sat, Dec 19MonstersCLB@MonstersPIT
Sun, Dec 20MonstersCLB@MonstersCOL
Tue, Dec 22MonstersNYR@MonstersCLB
Thu, Dec 24MonstersBOS@MonstersCLB
Sat, Dec 26MonstersCLB@MonstersMTL
Sun, Dec 27MonstersCLB@MonstersEDM
Tue, Dec 29MonstersOTT@MonstersCLB
Thu, Dec 31MonstersCLB@MonstersPHI
Sat, Jan 2MonstersCHI@MonstersCLB
Mon, Jan 4MonstersCLB@MonstersBOS
Tue, Jan 5MonstersDET@MonstersCLB
Thu, Jan 7MonstersCLB@MonstersDET
Sat, Jan 9MonstersSTL@MonstersCLB
Sun, Jan 10MonstersCLB@MonstersCHI
Tue, Jan 12MonstersSEA@MonstersCLB
Wed, Jan 13MonstersCLB@MonstersS J
Fri, Jan 15MonstersCHI@MonstersCLB
Mon, Jan 18MonstersCLB@MonstersFLO
Tue, Jan 19MonstersWAS@MonstersCLB
Thu, Jan 21MonstersANA@MonstersCLB
Sat, Jan 23MonstersCLB@MonstersLOS
Mon, Jan 25MonstersCLB@MonstersSEA
Tue, Jan 26MonstersFLO@MonstersCLB
Thu, Jan 28MonstersCLB@MonstersDAL
Sat, Jan 30MonstersCLB@MonstersANA
Sun, Jan 31MonstersPIT@MonstersCLB
Tue, Feb 2MonstersLOS@MonstersCLB
Thu, Feb 4MonstersCLB@MonstersMIN
Sat, Feb 6MonstersMTL@MonstersCLB
Mon, Feb 8MonstersCLB@MonstersTAM
Tue, Feb 9MonstersNAS@MonstersCLB
Fri, Feb 12MonstersCLB@MonstersCAR
Sat, Feb 13MonstersCAR@MonstersCLB
Tue, Feb 16MonstersS J@MonstersCLB
Thu, Feb 18MonstersCLB@MonstersCHI
Sat, Feb 20MonstersBUF@MonstersCLB
Sun, Feb 21MonstersCLB@MonstersNAS
Tue, Feb 23MonstersCLB@MonstersTAM
Thu, Feb 25MonstersTAM@MonstersCLB
Sat, Feb 27MonstersCLB@MonstersNYR
Mon, Mar 1MonstersBUF@MonstersCLB
Wed, Mar 3MonstersCLB@MonstersOTT
Fri, Mar 5MonstersS J@MonstersCLB
Sat, Mar 6MonstersCLB@MonstersOTT
Wed, Mar 10MonstersNYI@MonstersCLB
Fri, Mar 12MonstersCLB@MonstersNYR
Mon, Mar 15MonstersTAM@MonstersCLB
Trade Deadline --- Trades can’t be done after this day is simulated!
Fri, Mar 19MonstersEDM@MonstersCLB

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
7,425,000$ 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
34 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
7,425,000$ 7,425,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
1,373,153$ 0$ 1,283,640$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 156 48,920$ 6,506,360$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
6,506,360$ 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

Rocket5-8-2, 12pts34Final
Monsters7-6-2, 16pts

Canucks9-4-2, 20pts13Final
Monsters7-6-2, 16pts

Canucks9-4-2, 20ptsMon, Nov 09
Monsters7-6-2, 16pts

Monsters7-6-2, 16ptsTue, Oct 13
Belleville Senators11-3-1, 23pts

Monsters7-6-2, 16ptsFri, Oct 16
Comets6-9-0, 12pts

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
Max Sasson
MonstersMonsters
8
GOALS
POINTS
Max Sasson
MonstersMonsters
20
POINTS
WINS
Jesper Wallstedt
MonstersMonsters
7
WINS
Expanded Player Leaderboard

Team Stats


Goals For
36
2.40 GFG
Goals Against
38
2.53 GAA
Power Play Percentage
41.7%
10 GF
Penalty Kill Percentage
65.4%
9 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain