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MonstersCleveland Monsters
0-0-0, 0pts · 6th in Conference 2
Roster
Player # POS CON AGE CONTRACT
Bobby Brink (R)0RW100.0022750,000$/2yrs
Juraj Slafkovsky0LW100.0019750,000$/2yrs
Noah Ostlund0C100.0020750,000$/2yrs
Owen Beck0C100.0020750,000$/2yrs
Denver Barkey (R)0C100.0018750,000$/1yrs
William Whitelaw (R)0RW100.0019750,000$/1yrs
Zach Nehring (R)0RW100.0019750,000$/1yrs
Gage Goncalves0C100.0023750,000$/2yrs
Isak Rosen0LW100.0021750,000$/1yrs
Jachym Kondelik0C100.0024750,000$/1yrs
Mavrik Bourque0C100.0022750,000$/2yrs
Zachary L'Heureux0LW100.0020750,000$/1yrs
William Stromgren0LW100.0020750,000$/2yrs
Riley Kidney0C100.0021750,000$/1yrs
Ryder Korczak0C100.0021750,000$/2yrs
Kasper Simontaival0RW100.0022750,000$/2yrs
Oliver Kylington0D100.00261,100,000$/1yrs
Filip Roos0D100.0025750,000$/2yrs
Yegor Zamula0D100.0023750,000$/1yrs
Ryan Healey0D100.0019750,000$/2yrs
Sam Rinzel0D100.0019750,000$/2yrs
Lukas Dragicevic (R)0D100.0018750,000$/1yrs
Luca Munzenberger0D100.0021750,000$/1yrs
Jack Peart (R)0D100.0020750,000$/1yrs
Scratches
Kalle Vaisanen0LW100.0021750,000$/1yrs
Ryan O'Rourke0D100.0021750,000$/2yrs
TEAM AVERAGE100.00
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 AGE CONTRACT
Niklas Kokko0100.0020750,000$/2yrs
Scratches
TEAM AVERAGE100.00
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
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% FOT GA TA EG HT P/20 PSG PSS
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
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Bobby Brink RW22750,000$750,000$ 750,000$
Denver Barkey C18750,000$750,000$
Filip Roos D25750,000$750,000$ 750,000$
Gage Goncalves C23750,000$750,000$ 750,000$
Isak Rosen LW21750,000$750,000$
Jachym Kondelik C24750,000$750,000$
Jack Peart D20750,000$750,000$
Juraj Slafkovsky LW19750,000$750,000$ 750,000$
Kalle Vaisanen LW21750,000$750,000$
Kasper Simontaival RW22750,000$750,000$ 750,000$
Luca Munzenberger D21750,000$750,000$
Lukas Dragicevic D18750,000$750,000$
Mavrik Bourque C22750,000$750,000$ 750,000$
Niklas Kokko G20750,000$750,000$ 750,000$
Noah Ostlund C20750,000$750,000$ 750,000$
Oliver Kylington D261,100,000$1,100,000$
Owen Beck C20750,000$750,000$ 750,000$
Riley Kidney C21750,000$750,000$
Ryan Healey D19750,000$750,000$ 750,000$
Ryan O'Rourke D21750,000$750,000$ 750,000$
Ryder Korczak C21750,000$750,000$ 750,000$
Sam Rinzel D19750,000$750,000$ 750,000$
William Stromgren LW20750,000$750,000$ 750,000$
William Whitelaw RW19750,000$750,000$
Yegor Zamula D23750,000$750,000$
Zach Nehring RW19750,000$750,000$
Zachary L'Heureux LW20750,000$750,000$

Lines
Forward Lines
Defensive Pairings
1st Power Play Unit
2nd Power Play Unit
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
Total0000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000nan%nan%nan%nanUnlucky

Puck Time
Offensive Zone NAN
Neutral Zone NAN
Defensive Zone NAN
Puck Time
Offensive Zone Start 0
Neutral Zone Start 0
Defensive Zone Start 0
Puck Time
With Puck NAN
Without Puck NAN
Faceoffs
Faceoffs Won 0
Faceoffs Lost 0
Team Average Shots after League Average Shots after
1st Period nan9.57
2nd Period nan20.31
3rd Period nan30.68
Overtime nan31.4
Goals in Team Average Goals after League Average Goals after
1st Period nan0.64
2nd Period nan1.65
3rd Period nan2.67
Overtime nan2.83
Even Strenght Goal 0
PP Goal 0
PK Goal 0
Empty Net Goal 0
Home Away
Win 00
Lost 00
Overtime Lost 00
PP Attempt 0
PP Goal 0
PK Attempt 0
PK Goal Against 0
Home
Shots For nan
Shots Against nan
Goals For nan
Goals Against nan
Hits nan
Shots Blocked nan
Pim nan
Schedule
DateMatchup Result Detail

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

ArenaAbout us
Name
CityCleveland
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price35$15$$$$
Attendance0.00%0.00%0.00%0.00%0.00%
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
0$ 0$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
0$ 0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 52 0$ 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

TRANSACTIONS



 

Team Info

Monsters
Head Coach
DivisionDivision 4
CityCleveland
Stadium Capacity3,000

Monsters Affiliation

Monsters
General Manager
Head Coach
StadiumNationwide Arena
Capacity18,000

Team Leaders

Expanded Player Leaderboard

Team Stats


Goals For
0
nan GFG
Goals Against
0
nan GAA
Power Play Percentage
nan%
0 GF
Penalty Kill Percentage
nan%
0 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain