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Cleveland Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Kai | Morale : 40 | Team Overall : N/A
Next Games #11 vs Toronto Marlies
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Cleveland Monsters
0-0-0, 0pts
Day 5
Toronto Marlies
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Utica Comets
0-0-0, 0pts
Day 6
Cleveland Monsters
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Cleveland Monsters
0-0-0, 0pts
Day 9
Rochester Americans
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Team Leaders

Team Stats
Team Info

General ManagerKai
CoachAlain Vigneault
DivisionNorth Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team36
Farm Team20
Contract Limit56 / 70
Prospects31


Team History

This Season0-0-0 (0PTS)
History90-60-20 (0.529%)
Playoff Appearances3
Playoff Record (W-L)2-4
Stanley Cup0


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 C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Hendrix LapierreX100.007455797580778371647265697070600437002431,400,000$
2Nate Danielson (R)XXX100.006140847683826569626664667055500436702221,400,000$
3Conor Geekie (R)XXX100.006947636871646268646760686550500436402221,400,000$
4Luca Del Bel Belluz (R)XX100.006140757264646268646663616850500436402311,100,000$
5Dylan Duke (R)XXX100.00564467716267656664646555675150043630231900,000$
6Mikael PyyhtiaXXX100.005842737260666466446562616752500436302511,250,000$
7Jack Williams (R)XXX100.005941756962686665616358606452500436202411,580,250$
8Luca Pinelli (R)XXX100.00604861726063616644656060655050043620212900,000$
9Owen Beck (R)X100.006442716865646264436358626350500436202211,100,000$
10Ivan Miroshnichenko (R)XX100.006344646666615865436358606350500436102211,100,000$
11Ivan Ryabkin (R)XXX100.006447606566606060556060606050500436001931,100,000$
12Cameron Lund (R)XXX100.006141726565615862426054556050500435902221,100,000$
13Scott MorrowX100.005740847487856969406053686860500436702411,200,000$
14David JiricekX100.005840817487817168405453686865550436702331,400,000$
15Adam Engstrom (R)X100.00664173736663616740575671685050043640232975,000$
16Guillaume Richard (R)X100.00654273716467656340494969645150043620232900,000$
17Corson Ceulemans (R)X100.005744666965656366405352606551500436002311,470,000$
18Radim Mrtka (R)X100.006745655974545054404442625450500435701931,400,000$
Scratches
1Alexander NylanderXXX100.006041746863706867446462616658500436302811,700,000$
2Hunter McKown (R)XXX100.00584367656565636260605452605150043590241882,000$
3Jordan Dumais (R)X100.00544073665863616042565351605050043570222975,000$
4Max McCue (R)XXX100.00564365656362595554525151575150043560232850,000$
5Ellis Rickwood (R)XXX100.00634070636760575441515158565150043560241905,000$
6Martin Rysavy (R)XX100.00555555555555555540555555555555043550232775,000$
7Kirill Dolzhenkov (R)XX100.00555555555555555540555555555555043550223900,000$
8Christian Fitzgerald (R)XXX100.00604070656261585140505055555250043550241855,000$
9Davis Burnside (R)XXX100.00604070656359565040505054555050043550231805,000$
10Josh Nadeau (R)XX100.00554070665659565241515052565050043540232780,000$
11Dmitri KulikovX100.005840747081887966405352686592820436803614,350,000$
12Jeremie Poirier (R)X100.005443676563656362404946546052500435702411,023,750$
13Aidan Hreschuk (R)X100.00604070666360575140444261565150043570232975,000$
14Ben Dexheimer (R)X100.00554070675961585140434260565250043560241805,000$
15Nikolai Makarov (R)X100.00555555555555555540555555555555043550232850,000$
TEAM AVERAGE100.0060446967666562614657556062545204360
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1William Rousseau (R)100.0065585564626366656361555150043580231800,000$
2Nolan Lalonde (R)100.0064555567625960556160505050043560223775,000$
Scratches
1Sergei Ivanov (R)100.0055555555555555555555555555043520223850,000$
TEAM AVERAGE100.006156556260596058605953525204355
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alain Vigneault1111111CAN6311,000,000$


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 NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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


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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Waiver Possible Contract Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10 2 3 4 5 6 7 8 9 10Link
Adam EngstromColumbus Blue JacketsD2317.11.2003Yes86 Kg188 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm975,000$975,000$975,000$975,000$975,000$975,000$No975,000$--------No--------Link / NHL Link
Aidan HreschukColumbus Blue JacketsD2319.02.2003Yes81 Kg180 CMNoNoAssign ManuallyNoNo218.07.2025Pro & Farm975,000$975,000$975,000$975,000$975,000$975,000$No975,000$--------No--------Link / NHL Link
Alexander Nylander (1 Way Contract)Columbus Blue JacketsC/LW/RW2802.03.1998No89 Kg185 CMNoNoAssign ManuallyYesYes106.07.2025Pro & Farm1,700,000$1,700,000$1,700,000$1,700,000$1,700,000$1,700,000$No------------------Link / NHL Link
Ben DexheimerColumbus Blue JacketsD2421.06.2002Yes75 Kg178 CMNoNoAssign ManuallyNoNo121.08.2026Pro & Farm805,000$805,000$805,000$805,000$805,000$805,000$No------------------Link / NHL Link
Cameron LundColumbus Blue JacketsC/LW/RW2207.06.2004Yes87 Kg188 CMNoNoTrade02.07.2026NoNo207.07.2025Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$No1,100,000$--------No--------Link / NHL Link
Christian FitzgeraldColumbus Blue JacketsC/LW/RW2431.05.2002Yes84 Kg183 CMNoNoAssign ManuallyNoNo121.08.2026Pro & Farm855,000$855,000$855,000$855,000$855,000$855,000$No------------------Link / NHL Link
Conor GeekieColumbus Blue JacketsC/LW/RW2205.05.2004Yes94 Kg193 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$No1,400,000$--------No--------Link / NHL Link
Corson CeulemansColumbus Blue JacketsD2305.05.2003Yes90 Kg188 CMNoNoAssign ManuallyNoNo119.07.2026Pro & Farm1,470,000$1,470,000$1,470,000$1,470,000$1,470,000$1,470,000$No------------------Link / NHL Link
David JiricekColumbus Blue JacketsD2328.11.2003No95 Kg191 CMNoNoAssign ManuallyNoNo319.07.2026Pro & Farm1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$No1,400,000$1,400,000$-------NoNo-------Link / NHL Link
Davis BurnsideColumbus Blue JacketsC/LW/RW2322.09.2003Yes82 Kg183 CMNoNoAssign ManuallyNoNo121.08.2026Pro & Farm805,000$805,000$805,000$805,000$805,000$805,000$No------------------Link / NHL Link
Dmitri Kulikov (1 Way Contract)Columbus Blue JacketsD3629.10.1990No96 Kg183 CMNoNoAssign Manually13.07.2024YesYes108.08.2025Pro & Farm4,350,000$4,350,000$4,350,000$4,350,000$4,350,000$4,350,000$No------------------Link / NHL Link
Dylan DukeColumbus Blue JacketsC/LW/RW2304.03.2003Yes80 Kg178 CMNoNoTrade06.07.2025NoNo105.06.2024Pro & Farm900,000$900,000$900,000$900,000$900,000$900,000$No------------------Link / NHL Link
Ellis RickwoodColumbus Blue JacketsC/LW/RW2402.07.2002Yes93 Kg188 CMNoNoAssign ManuallyNoNo121.08.2026Pro & Farm905,000$905,000$905,000$905,000$905,000$905,000$No------------------Link / NHL Link
Guillaume RichardColumbus Blue JacketsD2310.02.2003Yes85 Kg188 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm900,000$900,000$900,000$900,000$900,000$900,000$No900,000$--------No--------Link / NHL Link
Hendrix LapierreColumbus Blue JacketsC2409.02.2002No84 Kg183 CMNoNoTrade06.07.2025NoNo306.07.2025Pro & Farm1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$No1,400,000$1,400,000$-------NoNo-------Link / NHL Link
Hunter McKownColumbus Blue JacketsC/LW/RW2418.08.2002Yes87 Kg185 CMNoNoAssign ManuallyNoNo119.07.2026Pro & Farm882,000$882,000$882,000$882,000$882,000$882,000$No------------------Link / NHL Link
Ivan MiroshnichenkoColumbus Blue JacketsLW/RW2204.02.2004Yes88 Kg185 CMNoNoAssign Manually06.07.2025NoNo119.07.2026Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$No------------------Link / NHL Link
Ivan RyabkinColumbus Blue JacketsC/LW/RW1925.04.2007Yes84 Kg180 CMNoNoDraftNoNo314.06.2026Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$No1,100,000$1,100,000$-------NoNo-------Link / NHL Link
Jack Williams (1 Way Contract)Columbus Blue JacketsC/LW/RW2402.03.2002Yes84 Kg180 CMNoNoAssign ManuallyNoNo119.07.2026Pro & Farm1,580,250$1,580,250$1,580,250$1,580,250$1,580,250$1,580,250$No------------------Link / NHL Link
Jeremie PoirierColumbus Blue JacketsD2402.06.2002Yes86 Kg185 CMNoNoAssign Manually21.09.2024NoNo106.07.2025Pro & Farm1,023,750$1,023,750$1,023,750$1,023,750$1,023,750$1,023,750$No------------------Link / NHL Link
Jordan DumaisColumbus Blue JacketsRW2215.04.2004Yes79 Kg175 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm975,000$975,000$975,000$975,000$975,000$975,000$No975,000$--------No--------Link / NHL Link
Josh NadeauColumbus Blue JacketsLW/RW2322.10.2003Yes77 Kg175 CMNoNoAssign ManuallyNoNo219.08.2026Pro & Farm780,000$780,000$780,000$780,000$780,000$780,000$No780,000$--------No--------Link / NHL Link
Kirill DolzhenkovColumbus Blue JacketsLW/RW2220.04.2004Yes101 Kg198 CMNoNoAssign ManuallyNoNo310.07.2026Pro & Farm900,000$900,000$900,000$900,000$900,000$900,000$No900,000$900,000$-------NoNo-------Link / NHL Link
Luca Del Bel BelluzColumbus Blue JacketsC/LW2310.11.2003Yes84 Kg185 CMNoNoAssign ManuallyNoNo105.06.2024Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$No------------------Link / NHL Link
Luca PinelliColumbus Blue JacketsC/LW/RW2105.04.2005Yes76 Kg175 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm900,000$900,000$900,000$900,000$900,000$900,000$No900,000$--------No--------Link / NHL Link
Martin RysavyColumbus Blue JacketsLW/RW2306.03.2003Yes95 Kg191 CMNoNoAssign ManuallyNoNo218.07.2025Pro & Farm775,000$775,000$775,000$775,000$775,000$775,000$No775,000$--------No--------Link / NHL Link
Max McCueColumbus Blue JacketsC/LW/RW2310.03.2003Yes83 Kg185 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm850,000$850,000$850,000$850,000$850,000$850,000$No850,000$--------No--------Link / NHL Link
Mikael PyyhtiaColumbus Blue JacketsC/LW/RW2517.12.2001No80 Kg183 CMNoNoAssign ManuallyNoNo106.07.2025Pro & Farm1,250,000$1,250,000$1,250,000$1,250,000$1,250,000$1,250,000$No------------------Link / NHL Link
Nate DanielsonColumbus Blue JacketsC/LW/RW2227.09.2004Yes85 Kg188 CMNoNoTrade11.07.2025NoNo207.07.2025Pro & Farm1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$No1,400,000$--------No--------Link / NHL Link
Nikolai MakarovColumbus Blue JacketsD2312.01.2003Yes88 Kg185 CMNoNoAssign ManuallyNoNo218.07.2025Pro & Farm850,000$850,000$850,000$850,000$850,000$850,000$No850,000$--------No--------Link / NHL Link
Nolan LalondeColumbus Blue JacketsG2214.02.2004Yes89 Kg188 CMNoNoAssign ManuallyNoNo314.06.2026Pro & Farm775,000$775,000$775,000$775,000$775,000$775,000$No775,000$775,000$-------NoNo-------Link / NHL Link
Owen BeckColumbus Blue JacketsC2203.02.2004Yes90 Kg183 CMNoNoTrade25.02.2025NoNo105.06.2024Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$No------------------Link / NHL Link
Radim MrtkaColumbus Blue JacketsD1909.06.2007Yes99 Kg198 CMNoNoAssign ManuallyNoNo314.06.2026Pro & Farm1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$1,400,000$No1,400,000$1,400,000$-------NoNo-------Link / NHL Link
Scott MorrowColumbus Blue JacketsD2401.11.2002No88 Kg188 CMNoNoAssign Manually10.08.2025NoNo119.07.2026Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$1,200,000$1,200,000$No------------------Link / NHL Link
Sergei IvanovColumbus Blue JacketsG2203.04.2004Yes71 Kg183 CMNoNoAssign ManuallyNoNo310.07.2026Pro & Farm850,000$850,000$850,000$850,000$850,000$850,000$No850,000$850,000$-------NoNo-------Link / NHL Link
William RousseauColumbus Blue JacketsG2309.01.2003Yes85 Kg185 CMNoNoAssign ManuallyNoNo124.10.2025Pro & Farm800,000$800,000$775,000$775,000$800,000$800,000$No------------------Link / NHL Link
Total Players Average Age Average Weight Average Height Average Contract Average Year 1 Salary
3623.2586 Kg185 CM1.721,153,639$



5 vs 5 Forward
Line # Left Wing Center Right Wing Time % PHY DF OF
1Conor GeekieHendrix LapierreDylan Duke33122
2Jack WilliamsNate DanielsonIvan Miroshnichenko30122
3Luca Del Bel BelluzOwen BeckLuca Pinelli25122
4Mikael PyyhtiaCameron LundIvan Ryabkin12122
5 vs 5 Defense
Line # Defense Defense Time % PHY DF OF
1David JiricekGuillaume Richard33122
2Scott MorrowAdam Engstrom30122
3Corson CeulemansRadim Mrtka25122
4David JiricekScott Morrow12122
Power Play Forward
Line # Left Wing Center Right Wing Time % PHY DF OF
1Conor GeekieHendrix LapierreDylan Duke50122
2Jack WilliamsNate DanielsonOwen Beck50122
Power Play Defense
Line # Defense Defense Time % PHY DF OF
1David JiricekAdam Engstrom50122
2Scott MorrowGuillaume Richard50122
Penalty Kill 4 Players Forward
Line # Center Wing Time % PHY DF OF
1Nate DanielsonLuca Del Bel Belluz50122
2Luca PinelliMikael Pyyhtia50122
Penalty Kill 4 Players Defense
Line # Defense Defense Time % PHY DF OF
1David JiricekGuillaume Richard50122
2Scott MorrowAdam Engstrom50122
Penalty Kill 3 Players
Line # Wing Time % PHY DF OF Defense Defense Time % PHY DF OF
1Nate Danielson50122Adam EngstromGuillaume Richard50122
2Luca Del Bel Belluz50122David JiricekCorson Ceulemans50122
4 vs 4 Forward
Line # Center Wing Time % PHY DF OF
1Hendrix LapierreDylan Duke50122
2Conor GeekieJack Williams50122
4 vs 4 Defense
Line # Defense Defense Time % PHY DF OF
1David JiricekScott Morrow50122
2Adam EngstromGuillaume Richard50122
Last Minutes Offensive
Left Wing Center Right Wing Defense Defense
Nate DanielsonHendrix LapierreDylan DukeDavid JiricekScott Morrow
Last Minutes Defensive
Left Wing Center Right Wing Defense Defense
Hendrix LapierreNate DanielsonLuca Del Bel BelluzDavid JiricekScott Morrow
Extra Forwards
Normal PowerPlay Penalty Kill
Hendrix Lapierre, Dylan Duke, Owen BeckHendrix Lapierre, Conor GeekieNate Danielson
Extra Defensemen
Normal PowerPlay Penalty Kill
David Jiricek, Scott Morrow, Radim MrtkaDavid JiricekDavid Jiricek, Scott Morrow
Penalty Shots
Conor Geekie, Hendrix Lapierre, Nate Danielson, Dylan Duke, Owen Beck
Goalie
#1 : William Rousseau, #2 : Nolan Lalonde, #3 : 0
Custom OT Lines Forwards
Hendrix Lapierre, Conor Geekie, Nate Danielson, Dylan Duke, Jack Williams, Owen Beck, Owen Beck, Luca Del Bel Belluz, Ivan Miroshnichenko, Ivan Ryabkin, Mikael Pyyhtia
Custom OT Lines Defensemen
David Jiricek, Scott Morrow, Adam Engstrom, Guillaume Richard, Radim Mrtka


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
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games Played Points Streak Goals Assists Points Shots For Shots Against Shots Blocked Penalty Minutes Hits Empty Net Goals Shutouts
00N/A0000000000
All Games
GP W L OTW OTL SOWSOL GF GA
000000000
Home Games
GP W L OTW OTL SOWSOL GF GA
000000000
Visitor Games
GP W L OTW OTL SOWSOL GF GA
000000000
Last 10 Games
W L OTW OTL SOWSOL
000000
Power Play Attemps Power Play Goals Power Play % Penalty Kill Attemps Penalty Kill Goals Against Penalty Kill % Penalty Kill Goals For
000%000%0
Shots 1 Period Shots 2 Period Shots 3 Period Shots 4+ Period Goals 1 Period Goals 2 Period Goals 3 Period Goals 4+ Period
00000000
Face Offs
Won Offensive Zone Total Offensive Won Offensive % Won Defensif Zone Total Defensive Won Defensive % Won Neutral Zone Total Neutral Won Neutral %
000%000%000%
Puck Time
In Offensive Zone Control In Offensive Zone In Defensive Zone Control In Defensive Zone In Neutral Zone Control In Neutral Zone
000000


Last Played Games
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10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
511Cleveland Monsters-Toronto Marlies-
620Utica Comets-Cleveland Monsters-
942Cleveland Monsters-Rochester Americans-
1052Laval Rocket-Cleveland Monsters-
1375Calgary Wranglers-Cleveland Monsters-
1490Providence Bruins-Cleveland Monsters-
16105Cleveland Monsters-Belleville Senators-
17117Cleveland Monsters-Utica Comets-
20136Toronto Marlies-Cleveland Monsters-
21152Rochester Americans-Cleveland Monsters-
24176Cleveland Monsters-Hartford Wolf Pack-
25182Cleveland Monsters-Laval Rocket-
27202Toronto Marlies-Cleveland Monsters-
29220Lehigh Valley Phantoms-Cleveland Monsters-
31233Cleveland Monsters-Syracuse Crunch-
33249Cleveland Monsters-Rochester Americans-
36270Belleville Senators-Cleveland Monsters-
37285Toronto Marlies-Cleveland Monsters-
39297Cleveland Monsters-Hamilton Hammers-
41313Cleveland Monsters-Henderson Silver Knights-
43331Cleveland Monsters-Hershey Bears-
45340Cleveland Monsters-Syracuse Crunch-
47352Rochester Americans-Cleveland Monsters-
49370Belleville Senators-Cleveland Monsters-
51393Laval Rocket-Cleveland Monsters-
52408Cleveland Monsters-Calgary Wranglers-
55426Utica Comets-Cleveland Monsters-
56438Cleveland Monsters-Springfield Thunderbirds-
58455Cleveland Monsters-Rochester Americans-
60472Hershey Bears-Cleveland Monsters-
62490Lehigh Valley Phantoms-Cleveland Monsters-
64504Cleveland Monsters-Texas Stars-
67526Calgary Wranglers-Cleveland Monsters-
69545Cleveland Monsters-Wilkes-Barre/Scranton Penguins-
70557Hamilton Hammers-Cleveland Monsters-
72577Cleveland Monsters-Ontario Reign-
73589Syracuse Crunch-Cleveland Monsters-
75611Colorado Eagles-Cleveland Monsters-
77626Cleveland Monsters-Providence Bruins-
80646Laval Rocket-Cleveland Monsters-
82662Cleveland Monsters-Charlotte Checkers-
87676Hartford Wolf Pack-Cleveland Monsters-
89690Cleveland Monsters-Grand Rapids Griffins-
91708Belleville Senators-Cleveland Monsters-
92720Cleveland Monsters-Belleville Senators-
94742Cleveland Monsters-Rockford IceHogs-
95750Providence Bruins-Cleveland Monsters-
97771Rochester Americans-Cleveland Monsters-
100791Cleveland Monsters-Laval Rocket-
102805Syracuse Crunch-Cleveland Monsters-
104822Cleveland Monsters-Wilkes-Barre/Scranton Penguins-
106829Cleveland Monsters-Chicago Wolves-
107848Iowa Wild-Cleveland Monsters-
110870San Jose Barracuda-Cleveland Monsters-
112885Cleveland Monsters-Laval Rocket-
114902Cleveland Monsters-Springfield Thunderbirds-
115908Manitoba Moose-Cleveland Monsters-
117923Cleveland Monsters-Hartford Wolf Pack-
119938Wilkes-Barre/Scranton Penguins-Cleveland Monsters-
121954Cleveland Monsters-Bakersfield Condors-
123970Tucson Roadrunners-Cleveland Monsters-
125987Cleveland Monsters-Calgary Wranglers-
1271002Abbotsford Canucks-Cleveland Monsters-
1281007Cleveland Monsters-Lehigh Valley Phantoms-
1311032Cleveland Monsters-Charlotte Checkers-
1321039Cleveland Monsters-Calgary Wranglers-
1341053Milwaukee Admirals-Cleveland Monsters-
1371075Utica Comets-Cleveland Monsters-
1401098Syracuse Crunch-Cleveland Monsters-
1411104Cleveland Monsters-Belleville Senators-
1451131Hamilton Hammers-Cleveland Monsters-
1481148Cleveland Monsters-San Jose Barracuda-
1511166Calgary Wranglers-Cleveland Monsters-
1541190Henderson Silver Knights-Cleveland Monsters-
1571203Cleveland Monsters-Syracuse Crunch-
1581211Cleveland Monsters-Toronto Marlies-
1611230Charlotte Checkers-Cleveland Monsters-
1681256San Diego Gulls-Cleveland Monsters-
1711275Cleveland Monsters-Hershey Bears-
1731288Springfield Thunderbirds-Cleveland Monsters-
1761308Cleveland Monsters-Utica Comets-
1811316Coachella Valley Firebirds-Cleveland Monsters-
1841338Cleveland Monsters-Toronto Marlies-
1851344Cleveland Monsters-Utica Comets-



Arena Capacity - Ticket Price Attendance - %
Level 1 Level 2
Capacity20001000
Ticket Price3314
Attendance0%0%
Attendance PCT0%0%

Income
Home Games Left Average Attendance - % Average Income per Game Year to Date Revenue Capacity Team Popularity
42 0 - 0%0$0$3000100

Expenses
Year To Date Expenses Players Total Salaries Players Total Average Salaries Coaches Salaries
0$ 0$ 0$ 0$
Salary Cap Per Days Salary Cap To Date Players In Salary Cap Players Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season Revenue Remaining Season Days Expenses Per Days Estimated Season Expenses
0$ 186 5,376$ 999,936$




Cleveland Monsters Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Denton Mateychuk822974103363610312921813.30%97192523.481717341140111620%01.0711
2Mikael Pyyhtia120435598124210122735512.11%18231619.31510154410169242.41%00.8502
3Logan Mailloux1591755722313629612514911.41%124295918.6171017760001510%00.4911
4Yegor Chinakhov762443672635649521411.21%5138118.1739123300023151.84%00.9701
5Conor Geekie7826406623341621742958.81%22157320.1738115101146059.16%00.8413

Cleveland Monsters Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jet Greaves71412180.9042.3941016416317020300.65223
2Malcolm Subban54222540.8992.6131334313613400010.82417
3William Rousseau3019410.8902.621624007164601000
4Pavel Cajan198910.8743.20974025241401000
5Blake Pietila30100.8803.71972065000000

Cleveland Monsters Career Team Stats

Overall Home Visitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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
Regular Season
2482283805623187220-33411814044011029754110240122285123-3879187338525166758558185556765160849214060148015752564316.80%2013085.07%01078230446.79%1120249444.91%543121444.73%1905130019936191074533
258245220921328121566412111061021289731412411031111531183511528150378403111758513254180885185249201358059915662855619.65%2564383.20%11542278955.29%1341238456.25%740129956.97%2136150817795821052550
Total Regular Season1647360014836468435338239250105032301943682343504333238241-31944688411309191781331402143961375150214609841531181107931415419918.30%4577384.03%12620509351.44%2461487850.45%1283251351.05%404128083772120221271083
Playoff
25624000001622-631200000810-231200000812-44162743006541170514866515344361302727.41%18383.33%111021152.13%8517648.30%459447.87%155108135478242
Total Playoff624000001622-631200000810-231200000812-44162743006541170514866515344361302727.41%18383.33%111021152.13%8517648.30%459447.87%155108135478242

Cleveland Monsters Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Mikael Pyyhtia6336124163010.00%213322.29000700000142.37%00.9000
2Owen Beck6235-4415161711.76%112220.39011510130054.55%00.8200
3Hendrix Lapierre6134-12815128.33%011018.42000000000063.53%00.7200
4Adam Engstrom60441211430%512520.8901110110000%00.6400
5Stanislav Svozil6123-1687425.00%611218.7600010000000%00.5300

Cleveland Monsters Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jet Greaves42100.9062.262120088500000
2William Rousseau30300.7945.2815900146800000