MonstersCleveland Monsters
2-0-2, 6pts · 7th 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$/3yrs
Fraser Minten (R)0C100.006640746975756464616162636555501506320816,667$/2yrs
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
Joe Snively0C100.0054427267577169654565595764595015061291,200,000$/1yrs
Clark Bishop0C100.0059456665637069636159585962595415060291,600,000$/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$/3yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Louis Domingue0100.006971726769697167697069686115064332,200,000$/4yrs
Jesper Wallstedt0100.006861647068687167696759505015062221,200,000$/2yrs
Scratches
Troy Grosenick0100.006362625460616360626159706015057351,250,000$/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/RW4448300101852022.22%123.0703300021047.37%002.00012.19
2Tyler PitlickMonstersMonsters (CLB)C/RW43360403122525.00%420.6830300050050.00%001.50011.19
3Jarred TinordiMonstersMonsters (CLB)D4112160196511.11%123.930000005010.00%000.50000.39
4Max SassonMonstersMonsters (CLB)C4112120252520.00%218.0900000040042.86%000.50110.48
5Fraser MintenMonstersMonsters (CLB)C4022020713050.00%119.4100000000060.87%000.50000.56
6Jaycob MegnaMonstersMonsters (CLB)D402210083110.00%123.720110008000.00%000.50000.52
7Chad RuhwedelMonstersMonsters (CLB)D402210030000.00%119.190000005000.00%000.50000.43
8Spencer StastneyMonstersMonsters (CLB)D402210016030.00%318.680000005000.00%000.50000.54
9Kevin GravelMonstersMonsters (CLB)D401100041200.00%115.070000000000.00%000.25000.23
10Matvey PetrovMonstersMonsters (CLB)LW4101020530233.33%117.290000003000.00%000.25000.19
11Matthew PhillipsMonstersMonsters (CLB)RW401110047100.00%116.3100000000050.00%000.25010.41
12Gabriel FortierMonstersMonsters (CLB)LW401124048410.00%223.3101100040050.00%000.25000.37
13Jonathan GrudenMonstersMonsters (CLB)C/LW4101-100730433.33%018.900000004000.00%000.25000.21
14Jayson MegnaMonstersMonsters (CLB)C4000-155542100.00%017.5600000020054.29%000.0001-0.14
15William LagessonMonstersMonsters (CLB)D400020012010.00%111.280000000000.00%000.00000.23
16Ian MitchellMonstersMonsters (CLB)D4000-12001000.00%18.300000001000.00%000.0000-0.14
17Jack AhcanMonstersMonsters (CLB)D4000-10001010.00%08.300000001000.00%000.0000-0.06
18Mikko KokkonenMonstersMonsters (CLB)D400000000000.00%00.590000000000.00%000.00000.00
Team Total or Average7211203192756596256311.46%2116.8735862000561153.89%1802213000.5115
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)42020.8642.6524900118141001.000540000
Team Total or Average42020.8642.6524900118141001.000540000
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
Fraser Minten C20816,667$975,000$ 975,000$ RFA
Gabriel Fortier LW251,250,000$1,250,000$ RFA
Ian Mitchell D261,500,000$1,500,000$ RFA
Jack Ahcan D281,400,000$1,400,000$ 1,400,000$ 1,400,000$ 1,400,000$ UFA
Jack Studnicka C/RW261,250,000$1,250,000$ RFA
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$ RFA
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


# - Fraser Minten


# - 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


# - Louis Domingue


# - Jesper Wallstedt

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
1MonstersComets1000010012-110.50011200047121183541713241811100.00%20100.00%0356058.33%306050.00%325162.75%7834714399490.0%4.8%84.6%89.4Unlucky
2MonstersBelleville Senators2000011077030.75071219000471551835417441718246233.33%9455.56%0356058.33%306050.00%325162.75%78347143994962.5%12.7%84.1%96.8FUN
3MonstersBarracuda1100000042221.0004711000471201835417242523200.00%000.00%0356058.33%306050.00%325162.75%78347143994966.7%20.0%91.7%111.7LUCKY
_Vs Division1000021012-142.00011200047121183541713241811100.00%20100.00%0356058.33%306050.00%325162.75%7834714399490.0%4.8%84.6%89.4Unlucky
_Vs Conference3000021089-140.66781321000471761835417571922427342.86%11463.64%0356058.33%306050.00%325162.75%78347143994950.0%10.5%84.2%94.7FUN
_Since Last GM Reset410002101211160.750122032000471961835417812127659333.33%11463.64%0356058.33%306050.00%325162.75%78347143994956.3%12.5%86.4%98.9FUN
Total410002101211160.750122032000471961835417812127659333.33%11463.64%0356058.33%306050.00%325162.75%78347143994956.3%12.5%86.4%98.9FUN

Puck Time
Offensive Zone 19
Neutral Zone 24
Defensive Zone 17
Puck Time
Offensive Zone Start 60
Neutral Zone Start 51
Defensive Zone Start 60
Puck Time
With Puck 31
Without Puck 30
Faceoffs
Faceoffs Won 97
Faceoffs Lost 74
Team Average Shots after League Average Shots after
1st Period 4.59.57
2nd Period 13.320.31
3rd Period 23.530.68
Overtime 25.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.00.64
2nd Period 1.01.65
3rd Period 2.82.67
Overtime 3.02.83
Even Strenght Goal 9
PP Goal 3
PK Goal 0
Empty Net Goal 0
Home Away
Win 11
Lost 00
Overtime Lost 11
PP Attempt 9
PP Goal 3
PK Attempt 11
PK Goal Against 4
Home
Shots For 24.0
Shots Against 20.3
Goals For 3.0
Goals Against 2.8
Hits 16.3
Shots Blocked 5.3
Pim 6.8
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@MonstersTAM
Fri, Oct 17MonstersCLB@MonstersVAN
Sun, Oct 19MonstersNJD@MonstersCLB
Wed, Oct 22MonstersS J@MonstersCLB
Sat, Oct 25MonstersCLB@MonstersCAR
Mon, Oct 27MonstersVAN@MonstersCLB
Wed, Oct 29MonstersCLB@MonstersS J
Fri, Oct 31MonstersWPG@MonstersCLB
Sun, Nov 2MonstersCLB@MonstersMTL
Mon, Nov 3MonstersCLB@MonstersOTT
Wed, Nov 5MonstersBUF@MonstersCLB
Thu, Nov 6MonstersCLB@MonstersBUF
Sun, Nov 9MonstersMTL@MonstersCLB
Tue, Nov 11MonstersNYI@MonstersCLB
Thu, Nov 13MonstersCLB@MonstersMTL
Fri, Nov 14MonstersCOL@MonstersCLB
Mon, Nov 17MonstersCLB@MonstersOTT
Tue, Nov 18MonstersCLB@MonstersPHO
Thu, Nov 20MonstersPIT@MonstersCLB
Sat, Nov 22MonstersWPG@MonstersCLB
Tue, Nov 25MonstersCLB@MonstersS J
Thu, Nov 27MonstersSEA@MonstersCLB
Fri, Nov 28MonstersCLB@MonstersSEA
Sun, Nov 30MonstersLOS@MonstersCLB
Tue, Dec 2MonstersCLB@MonstersVAN
Thu, Dec 4MonstersPHO@MonstersCLB
Mon, Dec 8MonstersFLO@MonstersCLB
Wed, Dec 10MonstersCLB@MonstersCOL
Fri, Dec 12MonstersCLB@MonstersNJD
Sun, Dec 14MonstersANA@MonstersCLB
Tue, Dec 16MonstersNAS@MonstersCLB
Thu, Dec 18MonstersCLB@MonstersFLO
Sat, Dec 20MonstersCAR@MonstersCLB
Mon, Dec 22MonstersCLB@MonstersSTL
Wed, Dec 24MonstersCLB@MonstersMIN
Fri, Dec 26MonstersCLB@MonstersNAS
Sat, Dec 27MonstersMIN@MonstersCLB
Wed, Dec 31MonstersBUF@MonstersCLB
Sat, Jan 3MonstersSTL@MonstersCLB
Mon, Jan 5MonstersCLB@MonstersWAS
Wed, Jan 7MonstersOTT@MonstersCLB
Sat, Jan 10MonstersMTL@MonstersCLB
Sun, Jan 11MonstersCLB@MonstersPHI
Tue, Jan 13MonstersEDM@MonstersCLB
Fri, Jan 16MonstersCLB@MonstersLOS
Sat, Jan 17MonstersCLB@MonstersANA
Mon, Jan 19MonstersWAS@MonstersCLB
Wed, Jan 21MonstersCLB@MonstersBUF
Thu, Jan 22MonstersCAL@MonstersCLB
Sun, Jan 25MonstersCLB@MonstersDAL
Mon, Jan 26MonstersNYR@MonstersCLB
Wed, Jan 28MonstersCLB@MonstersWPG
Fri, Jan 30MonstersVAN@MonstersCLB
Mon, Feb 2MonstersCLB@MonstersNYI
Tue, Feb 3MonstersTAM@MonstersCLB
Fri, Feb 6MonstersCLB@MonstersCAR
Sat, Feb 7MonstersPHI@MonstersCLB
Tue, Feb 10MonstersCLB@MonstersDET
Wed, Feb 11MonstersDET@MonstersCLB
Sat, Feb 14MonstersCLB@MonstersPIT
Sun, Feb 15MonstersTAM@MonstersCLB
Tue, Feb 17MonstersCLB@MonstersBOS
Thu, Feb 19MonstersCHI@MonstersCLB
Sun, Feb 22MonstersCLB@MonstersCHI
Mon, Feb 23MonstersCHI@MonstersCLB
Thu, Feb 26MonstersBOS@MonstersCLB
Fri, Feb 27MonstersCLB@MonstersCAL
Sat, Feb 28MonstersCLB@MonstersNYR
Tue, Mar 3MonstersNJD@MonstersCLB
Thu, Mar 5MonstersCLB@MonstersEDM
Fri, Mar 6MonstersCLB@MonstersCHI
Sun, Mar 8MonstersDAL@MonstersCLB
Trade Deadline --- Trades can’t be done after this day is simulated!
Thu, Mar 12MonstersTOR@MonstersCLB
Sun, Mar 15MonstersCLB@MonstersTOR
Mon, Mar 16MonstersS J@MonstersCLB
Thu, Mar 19MonstersCLB@MonstersTOR
Sat, Mar 21MonstersTOR@MonstersCLB
Mon, Mar 23MonstersCLB@MonstersTAM

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
5,132,500$ 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
39 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
5,132,500$ 5,132,500$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
266,624$ 0$ 242,960$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 184 33,328$ 5,365,808$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
5,365,808$ 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

Belleville Senators2-1-1, 5pts43Final
Monsters2-0-2, 6pts

Monsters2-0-2, 6pts43Final
Belleville Senators2-1-1, 5pts

Monsters2-0-2, 6ptsWed, Oct 15
Belleville Senators2-1-1, 5pts

Monsters2-0-2, 6ptsFri, Oct 10
Comets1-1-2, 4pts

Belleville Senators2-1-1, 5ptsMon, Oct 13
Monsters2-0-2, 6pts

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
4
GOALS
POINTS
Jack Studnicka
MonstersMonsters
8
POINTS
WINS
Louis Domingue
MonstersMonsters
2
WINS
Expanded Player Leaderboard

Team Stats


Goals For
12
3.00 GFG
Goals Against
11
2.75 GAA
Power Play Percentage
33.3%
3 GF
Penalty Kill Percentage
63.6%
4 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain