Login

Cleveland Monsters
GP: 70 | W: 50 | L: 15 | OTL: 5 | P: 105
GF: 251 | GA: 189 | PP%: 37.78% | PK%: 67.03%
GM : | Morale : 95 | Team Overall : 56
Next Games #1138 vs Syracuse Crunch
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Cleveland Monsters
50-15-5, 105pts
4
FINAL
1 Providence Bruins
32-29-12, 76pts
Team Stats
L1StreakOTL1
25-7-4Home Record14-14-7
25-8-1Home Record18-15-5
7-2-1Last 10 Games5-4-1
3.59Goals Per Game3.32
2.70Goals Against Per Game3.74
37.78%Power Play Percentage35.71%
67.03%Penalty Kill Percentage70.11%
Manitoba Moose
42-26-5, 89pts
3
FINAL
2 Cleveland Monsters
50-15-5, 105pts
Team Stats
W1StreakL1
17-16-2Home Record25-7-4
25-10-3Home Record25-8-1
5-5-0Last 10 Games7-2-1
3.15Goals Per Game3.59
2.90Goals Against Per Game2.70
25.58%Power Play Percentage37.78%
70.69%Penalty Kill Percentage67.03%
Cleveland Monsters
50-15-5, 105pts
Day 111
Syracuse Crunch
34-30-7, 75pts
Team Stats
L1StreakL2
25-7-4Home Record17-14-4
25-8-1Away Record17-16-3
7-2-1Last 10 Games3-6-1
3.59Goals Per Game3.07
2.70Goals Against Per Game3.07
37.78%Power Play Percentage27.45%
67.03%Penalty Kill Percentage71.97%
Ontario Reign
31-26-14, 76pts
Day 113
Cleveland Monsters
50-15-5, 105pts
Team Stats
W1StreakL1
14-14-8Home Record25-7-4
17-12-6Away Record25-8-1
5-1-4Last 10 Games7-2-1
3.07Goals Per Game3.59
3.17Goals Against Per Game3.59
33.73%Power Play Percentage37.78%
67.21%Penalty Kill Percentage67.03%
Cleveland Monsters
50-15-5, 105pts
Day 115
Providence Bruins
32-29-12, 76pts
Team Stats
L1StreakOTL1
25-7-4Home Record14-14-7
25-8-1Away Record18-15-5
7-2-1Last 10 Games5-4-1
3.59Goals Per Game3.32
2.70Goals Against Per Game3.32
37.78%Power Play Percentage35.71%
67.03%Penalty Kill Percentage70.11%
Team Leaders
Goals
Milos Kelemen
41
Assists
Keean Washkurak
55
Points
Milos Kelemen
93
Plus/Minus
Brandon Biro
32
Wins
Louis Domingue
50
Save Percentage
Louis Domingue
0.922

Team Stats
Goals For
251
3.59 GFG
Shots For
2189
31.27 Avg
Power Play Percentage
37.8%
34 GF
Offensive Zone Start
35.0%
Goals Against
189
2.70 GAA
Shots Against
2386
34.09 Avg
Penalty Kill Percentage
67.0%%
30 GA
Defensive Zone Start
39.0%
Team Info

General Manager
DivisionNortheast Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets1,650


Roster Info

Pro Team29
Farm Team19
Contract Limit48 / 65
Prospects34


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
1Tyler Boucher (R)0X100.00656555656856566149665761564545026600215863,333$
2Mikael Pyyhtia (R)0X100.00443599776176605455524758644559090580233897,500$
3Milos Kelemen (R)0X100.00533599758064605055514757624858083580251775,000$
4Brandon Biro (R)0X100.00403599786271605055416050675263089570264775,000$
5Bear Hughes (R)0X100.00387849615560486551536454424545086560232775,000$
6Keean Washkurak (R)0X100.00725552456757525240675661404545086560231862,500$
7Mikey Milne (R)0X100.00555555555555555555555555555555080550222861,667$
8Jack Badini (R)0X100.00614569606563605450505054555350091550261805,000$
9Samuel Laberge (R)0X100.00473599718254605055414153605657089550274925,000$
10Arttu Ruotsalainen0X100.006435605471646058654656505056560905502721,500,000$
11Trevor Kuntar (R)0X100.00555849496955456541424765564545090540233867,500$
12Maksim Sushko (R)0X100.00737351506453496163415954534848088540251775,000$
13Paul Ludwinski (R)0X100.00726468586558586359584241444545090540206900,000$
14Tyler Angle (R)0X100.00583599746865605055414151604556091540241850,833$
15Riley Kidney (R)0X100.00486653525954636256514552424545091530215836,667$
16Jakub Brebenec (R)0X100.00398061555261646057495540584545091520215828,333$
17Andre Lee (R)0X100.00525266696146605058414053554545086510241883,750$
18Daniel Zhilkin (R)0X100.00414868455857515942435245454545019500215831,667$
19Derrick Pouliot0X100.00423599777374605040413850496872091590304775,000$
20Artem Grushnikov (R)0X100.00583752685857595960485065554545091590215814,167$
21Evan Nause (R)0X100.00743959516056536354454067484545086580214864,167$
22Veeti Vainio0X100.00555555555555555555556555555555070560274775,000$
23Matthew Hellickson (R)0X100.00565747616256485847466653535252089560262800,000$
24Alex Cotton (R)0X100.005872695756615266504853495752520915502621,000,000$
25Simon Lundmark (R)0X100.00595567636558465763624949524545090550241850,833$
Scratches
1Johan Sodergran (R)0XXX99.564078496566506360474365475848480775502521,000,000$
TEAM AVERAGE99.9855536761645956575349525354495108255
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
1Louis Domingue0100.0081657292777581818478687450089770323775,000$
2Antoine Bibeau0100.0071666567676567646567655952091650303775,000$
Scratches
1Keith Kinkaid0100.0065506861525653545158615149020550354775,000$
TEAM AVERAGE100.007260687365656766676865615006766
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Milos KelemenCleveland Monsters (CBJ)LW70415293224230821373318918412.39%53163323.33981720550110657441.46%24610453031.140311410115
2Keean WashkurakCleveland Monsters (CBJ)C7026558118154100176141166417015.66%52141120.167142114591123222239.52%18702046001.1501578559
3Mikael PyyhtiaCleveland Monsters (CBJ)LW70323264-11010651182497114112.85%45138419.78437114810137910350.00%508940010.9213200264
4Johan SodergranCleveland Monsters (CBJ)C/LW/RW693132631233517590802547715012.20%41129518.7737109590001165344.66%1036240020.97118918533
5Brandon BiroCleveland Monsters (CBJ)LW702040603210102587212791219.43%29103014.720664341122296142.86%498118001.1613011262
6Bear HughesCleveland Monsters (CBJ)C70222648-2121105941211977412411.17%26118416.93101112000004346.34%8054122000.81003711321
7Jack BadiniCleveland Monsters (CBJ)C70242044286081109133277918.05%2695113.6000000000004243.83%4542225020.9200000244
8Topias VilenColumbus Blue JacketsD6982735825156011911041457.27%135158322.955271472000376300%03082100.4400120212
9Maksim SushkoCleveland Monsters (CBJ)RW70151429-117011014911682286818.29%30123217.60336448000005040.43%471228010.4700877035
10Mikey MilneCleveland Monsters (CBJ)LW6816122829343011695113356414.16%25109416.09000020001100046.43%281728000.5100312216
11Veeti VainioCleveland Monsters (CBJ)D6501919613610088996532430%90136320.970000100001000%02143000.2800299000
12Artem GrushnikovCleveland Monsters (CBJ)D7001818258079976325330%73131318.76022244000045000%0852000.2700000011
13Samuel LabergeCleveland Monsters (CBJ)LW704141813101016353861910.53%105678.10033221000020141.82%1101017000.6300020000
14Derrick PouliotCleveland Monsters (CBJ)D7021315310012735323143.77%39134219.18011147000051010%0545100.2200000001
15Evan NauseCleveland Monsters (CBJ)D701910134055612614123.85%4896213.75112237000011010%0136000.2100000000
16Dillon HeatheringtonColumbus Blue JacketsD10088-3195121413470%923623.61055313000010000%056000.6800100001
17Matthew HellicksonCleveland Monsters (CBJ)D7026812733546493811205.26%40100314.33000220000059000%02215000.1600133000
18Alex CottonCleveland Monsters (CBJ)D7005511101011196710%195067.230000000001000%017000.2000002000
19Trevor KuntarCleveland Monsters (CBJ)C70314575136133223.08%22163.0910119000002070.00%2002000.3700001101
20Arttu RuotsalainenCleveland Monsters (CBJ)C70202427153132245148.33%73474.9600000000000151.22%24633000.1200111010
21Paul LudwinskiCleveland Monsters (CBJ)C700224551052030%01081.54000000000270032.14%2800000.3700010000
22Simon LundmarkCleveland Monsters (CBJ)D70011575200010%11442.060000300002000%002000.1400010000
23Daniel ZhilkinCleveland Monsters (CBJ)C1000000000000%000.700000000000000%00000000000000
24Jakub BrebenecCleveland Monsters (CBJ)C70000120000000%0200.300000100005000%20000000000000
25Riley KidneyCleveland Monsters (CBJ)C70000000100000%040.060000000001000%00000000000000
26Tyler BoucherCleveland Monsters (CBJ)RW1000-1175421010%01313.350000000000000%11000000001000
27Andre LeeCleveland Monsters (CBJ)LW60000000000000%020.050000000000000%00000000000000
Team Total or Average16732494066552711232780131816152189692121611.38%8002095412.523455899059533613520482242.67%4059555610290.63311365268344445
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 DomingueCleveland Monsters (CBJ)70501540.9222.6441350118223341207710.818117001554
2Antoine BibeauCleveland Monsters (CBJ)30010.9023.309100551300000070000
Team Total or Average73501550.9222.6642260118723851237711170701554


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alex CottonCleveland Monsters (CBJ)D261998-06-08CANYes180 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link
Andre LeeCleveland Monsters (CBJ)LW242000-07-06SWEYes206 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm883,750$0$0$No---------------------------Link
Antoine BibeauCleveland Monsters (CBJ)G301994-05-01CANNo205 Lbs6 ft3NoNoFree AgentNoNo32024-01-31FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Artem GrushnikovCleveland Monsters (CBJ)D212003-03-20RUSYes180 Lbs6 ft2NoNoProspectNoNo52024-01-20FalseFalsePro & Farm814,167$0$0$No814,167$814,167$814,167$814,167$-----814,167$814,167$814,167$814,167$-----NoNoNoNo-----
Arttu RuotsalainenCleveland Monsters (CBJ)C271997-10-29FINNo187 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Link
Bear HughesCleveland Monsters (CBJ)C232001-05-30USAYes172 Lbs6 ft2NoNoProspectNoNo22024-07-28FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Brandon BiroCleveland Monsters (CBJ)LW261998-03-11CANYes170 Lbs5 ft11NoNoDraftNoNo42024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Daniel ZhilkinCleveland Monsters (CBJ)C212003-12-19RUSYes185 Lbs6 ft3NoNoProspectNoNo52024-01-20FalseFalsePro & Farm831,667$0$0$No831,667$831,667$831,667$831,667$-----831,667$831,667$831,667$831,667$-----NoNoNoNo-----
Derrick PouliotCleveland Monsters (CBJ)D301994-01-16CANNo196 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Link
Evan NauseCleveland Monsters (CBJ)D212003-01-20CANYes186 Lbs6 ft2NoNoProspectNoNo42024-07-28FalseFalsePro & Farm864,167$0$0$No864,167$864,167$864,167$------864,167$864,167$864,167$------NoNoNo------
Jack BadiniCleveland Monsters (CBJ)C261998-01-19USAYes203 Lbs6 ft0NoNoN/ANoNo12024-07-21FalseFalsePro & Farm805,000$0$0$No---------------------------
Jakub BrebenecCleveland Monsters (CBJ)C212003-09-11CZEYes154 Lbs6 ft0NoNoProspectNoNo52024-01-20FalseFalsePro & Farm828,333$0$0$No828,333$828,333$828,333$828,333$-----828,333$828,333$828,333$828,333$-----NoNoNoNo-----
Johan SodergranCleveland Monsters (CBJ)C/LW/RW251999-11-20SWEYes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link
Keean WashkurakCleveland Monsters (CBJ)C232001-08-16CANYes188 Lbs5 ft10NoNoN/ANoNo12024-07-21FalseFalsePro & Farm862,500$0$0$No---------------------------Link
Keith KinkaidCleveland Monsters (CBJ)G351989-07-04USANo191 Lbs6 ft2NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Link / NHL Link
Louis DomingueCleveland Monsters (CBJ)G321992-03-06CANNo208 Lbs6 ft3NoNoFree AgentNoNo32024-01-31FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Link
Maksim SushkoCleveland Monsters (CBJ)RW251999-02-10BLRYes188 Lbs6 ft0NoNoN/ANoNo12024-07-21FalseFalsePro & Farm775,000$0$0$No---------------------------
Matthew HellicksonCleveland Monsters (CBJ)D261998-03-21USAYes184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link
Mikael PyyhtiaCleveland Monsters (CBJ)LW232001-12-17FINYes166 Lbs6 ft0NoNoProspectNoNo32024-01-20FalseFalsePro & Farm897,500$0$0$No897,500$897,500$-------897,500$897,500$-------NoNo-------
Mikey MilneCleveland Monsters (CBJ)LW222002-09-21CANYes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm861,667$0$0$No861,667$--------861,667$--------No--------
Milos KelemenCleveland Monsters (CBJ)LW251999-07-06SVKYes210 Lbs6 ft2NoNoDraftNoNo12024-07-05FalseFalsePro & Farm775,000$0$0$No---------------------------
Paul LudwinskiCleveland Monsters (CBJ)C202004-04-23CANYes187 Lbs5 ft11NoNoProspectNoNo62024-07-28FalseFalsePro & Farm900,000$0$0$No900,000$900,000$900,000$900,000$900,000$----900,000$900,000$900,000$900,000$900,000$----NoNoNoNoNo----
Riley KidneyCleveland Monsters (CBJ)C212003-03-25CANYes175 Lbs6 ft0NoNoProspectNoNo52024-01-20FalseFalsePro & Farm836,667$0$0$No836,667$836,667$836,667$836,667$-----836,667$836,667$836,667$836,667$-----NoNoNoNo-----
Samuel LabergeCleveland Monsters (CBJ)LW271997-04-10CANYes206 Lbs6 ft2NoNoDraftNoNo42024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------
Simon LundmarkCleveland Monsters (CBJ)D242000-10-08SWEYes201 Lbs6 ft2NoNoN/ANoNo12024-07-21FalseFalsePro & Farm850,833$0$0$No---------------------------Link
Trevor KuntarCleveland Monsters (CBJ)C232001-06-20USAYes205 Lbs6 ft0NoNoProspectNoNo32024-01-20FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------
Tyler AngleCleveland Monsters (CBJ)C242000-09-30CANYes166 Lbs5 ft10NoNoN/ANoNo12024-07-21FalseFalsePro & Farm850,833$0$0$No---------------------------Link
Tyler BoucherCleveland Monsters (CBJ)RW212003-01-16CANYes205 Lbs6 ft1NoNoProspectNoNo52024-01-20FalseFalsePro & Farm863,333$0$0$No863,333$863,333$863,333$863,333$-----863,333$863,333$863,333$863,333$-----NoNoNoNo-----
Veeti VainioCleveland Monsters (CBJ)D271997-06-16FINNo181 Lbs6 ft2NoNoAssign ManuallyNoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2924.79189 Lbs6 ft12.97862,687$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Milos KelemenKeean WashkurakTyler Boucher40122
2Mikael PyyhtiaBear HughesMaksim Sushko30122
3Brandon BiroJack BadiniSamuel Laberge20122
4Milos KelemenArttu RuotsalainenMikael Pyyhtia10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Veeti VainioAlex Cotton40122
2Derrick PouliotArtem Grushnikov30122
3Evan NauseMatthew Hellickson20122
4Artem GrushnikovAlex Cotton10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Samuel LabergeKeean WashkurakTyler Boucher60122
2Mikael PyyhtiaBrandon BiroMaksim Sushko40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex CottonMatthew Hellickson60122
2Derrick PouliotArtem Grushnikov40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Samuel LabergeMikael Pyyhtia60122
2Brandon BiroKeean Washkurak40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon LundmarkMatthew Hellickson60122
2Derrick PouliotArtem Grushnikov40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Keean Washkurak60122Veeti VainioMatthew Hellickson60122
2Mikael Pyyhtia40122Derrick PouliotArtem Grushnikov40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Samuel LabergeMikael Pyyhtia60122
2Brandon BiroKeean Washkurak40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Evan NauseMatthew Hellickson60122
2Derrick PouliotArtem Grushnikov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mikael PyyhtiaKeean WashkurakTyler BoucherArtem GrushnikovDerrick Pouliot
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mikael PyyhtiaKeean WashkurakTyler BoucherArtem GrushnikovDerrick Pouliot
Extra Forwards
Normal PowerPlayPenalty Kill
Samuel Laberge, Trevor Kuntar, Paul LudwinskiSamuel Laberge, Trevor KuntarPaul Ludwinski
Extra Defensemen
Normal PowerPlayPenalty Kill
Simon Lundmark, Artem Grushnikov, Matthew HellicksonSimon LundmarkDerrick Pouliot, Matthew Hellickson
Penalty Shots
Samuel Laberge, Mikael Pyyhtia, Brandon Biro, Keean Washkurak, Tyler Boucher
Goalie
#1 : Louis Domingue, #2 : Antoine Bibeau
Custom OT Lines Forwards
Paul Ludwinski, Mikael Pyyhtia, Brandon Biro, Keean Washkurak, Maksim Sushko, Tyler Boucher, Tyler Boucher, Milos Kelemen, Jack Badini, Samuel Laberge, Arttu Ruotsalainen
Custom OT Lines Defensemen
Alex Cotton, Simon Lundmark, Derrick Pouliot, Artem Grushnikov, Matthew Hellickson


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
1Abbotsford Canucks11000000532110000005320000000000021.000561100519099123961974080140441312194375.00%10100.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
2Bakersfield Condors11000000312000000000001100000031221.0003580051909912196197408014035115118100.00%30100.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
3Belleville Senators11000000211000000000001100000021121.00024600519099123061974080140204225000%110.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
4Bridgeport Sound Tigers43001000191092100100012752200000073481.0001932510051909912129619740801401655072874250.00%6266.67%0592140742.08%691156644.13%449104443.01%127662215096961444701
5Calgary Wranglers31200000911-2110000005232020000049-520.3339132200519099129461974080140842544553133.33%220.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
6Charlotte Checkers11000000532000000000001100000053221.000571200519099123361974080140361852311100.00%000%0592140742.08%691156644.13%449104443.01%127662215096961444701
7Chicago Wolves11000000835110000008350000000000021.0008122000519099123161974080140391310173133.33%000%0592140742.08%691156644.13%449104443.01%127662215096961444701
8Colorado Eagles11000000413110000004130000000000021.00046100051909912366197408014025715176233.33%000%0592140742.08%691156644.13%449104443.01%127662215096961444701
9Grand Rapids Griffins11000000431110000004310000000000021.00046100051909912446197408014041172313200.00%4175.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
10Hartford Wolf Pack6410100020146321000001082320010001064100.833203656005190991220961974080140197625311514642.86%9544.44%1592140742.08%691156644.13%449104443.01%127662215096961444701
11Henderson Silver Knights21000010743000000000002100001074341.0007111800519099125061974080140662673322100.00%110.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
12Hershey Bears310010101275100010005412100001073461.0001217290051909912996197408014011541105604125.00%5180.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
13Iowa Wild1100000015691100000015690000000000021.00015213600519099124761974080140331071172150.00%3233.33%0592140742.08%691156644.13%449104443.01%127662215096961444701
14Laval Rocket22000000734220000007340000000000041.0007142101519099125061974080140561574311100.00%10100.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
15Lehigh Valley Phantoms2110000067-1110000004131010000026-420.5006101600519099126161974080140793471425120.00%30100.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
16Manitoba Moose734000001821-3413000001115-43210000076160.4291831491051909912244619740801402598240126300.00%10370.00%1592140742.08%691156644.13%449104443.01%127662215096961444701
17Milwaukee Admirals1000000123-11000000123-10000000000010.500246005190991229619740801403312522000%000%0592140742.08%691156644.13%449104443.01%127662215096961444701
18Ontario Reign2100100010730000000000021001000107341.000101525005190991264619740801406619739200.00%10100.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
19Providence Bruins211000005411010000013-21100000041320.500591400519099127761974080140892956293133.33%3166.67%0592140742.08%691156644.13%449104443.01%127662215096961444701
20Rochester Americans11000000321110000003210000000000021.00035800519099123261974080140301192011100.00%2150.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
21Rockford IceHogs11000000422000000000001100000042221.0004610005190991218619740801403414715200.00%10100.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
22San Diego Gulls53101000191453300000013762010100067-180.8001930490051909912151619740801401906056895360.00%8450.00%1592140742.08%691156644.13%449104443.01%127662215096961444701
23San Jose Barracuda2020000038-51010000014-31010000024-200.000358005190991247619740801406826235000%10100.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
24Springfield Thunderbirds10001000651000000000001000100065121.000610160051909912396197408014029719133133.33%220.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
25Syracuse Crunch42001100131033200010010821000100032170.87513243700519099121426197408014012240178785120.00%40100.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
26Texas Stars3210000011101211000009901100000021140.66711172800519099127261974080140872738532150.00%4250.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
27Toronto Marlies1010000002-2000000000001010000002-200.000000005190991223619740801403121520100.00%000%0592140742.08%691156644.13%449104443.01%127662215096961444701
28Tuscon Roadrunners22000000734110000004221100000031241.00071320005190991265619740801407223673611100.00%60100.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
29Utica Comets62101200181533000120067-132100000128480.667182846005190991216561974080140184701851219333.33%10280.00%0592140742.08%691156644.13%449104443.01%127662215096961444701
30Wilkes-Barre/Scranton Penguins20001100660100010003211000010034-130.75069150051909912506197408014057131038100.00%000%0592140742.08%691156644.13%449104443.01%127662215096961444701
Total7039150942125118962362170430114210339341880512010986231050.7502514066571151909912218961974080140238680012321318903437.78%913067.03%3592140742.08%691156644.13%449104443.01%127662215096961444701
_Since Last GM Reset7039150942125118962362170430114210339341880512010986231050.7502514066571151909912218961974080140238680012321318903437.78%913067.03%3592140742.08%691156644.13%449104443.01%127662215096961444701
_Vs Conference482411084101581273124116043008068122413504110785919700.72915826342110519099121533619740801401683553904920561933.93%671971.64%3592140742.08%691156644.13%449104443.01%127662215096961444701
_Vs Division2411204300896227125102300483216126102000413011330.68889144233005190991274461974080140836283506480401435.00%331069.70%1592140742.08%691156644.13%449104443.01%127662215096961444701

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
70105L1251406657218923868001232131811
All Games
GPWLOTWOTL SOWSOLGFGA
7039159421251189
Home Games
GPWLOTWOTL SOWSOLGFGA
362174301142103
Visitor Games
GPWLOTWOTL SOWSOLGFGA
34188512010986
Last 10 Games
WLOTWOTL SOWSOL
720100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
903437.78%913067.03%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6197408014051909912
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
592140742.08%691156644.13%449104443.01%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
127662215096961444701


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
14Cleveland Monsters5Bridgeport Sound Tigers2WBoxScore
324Manitoba Moose3Cleveland Monsters1LBoxScore
544Syracuse Crunch1Cleveland Monsters2WBoxScore
657Cleveland Monsters4Hartford Wolf Pack3WBoxScore
873San Diego Gulls3Cleveland Monsters4WBoxScore
982Cleveland Monsters2Manitoba Moose1WBoxScore
1099Cleveland Monsters2San Jose Barracuda4LBoxScore
12116Hartford Wolf Pack3Cleveland Monsters1LBoxScore
15139Cleveland Monsters6Utica Comets2WBoxScore
16150Manitoba Moose3Cleveland Monsters5WBoxScore
18174Utica Comets3Cleveland Monsters2LXBoxScore
20195Syracuse Crunch6Cleveland Monsters5LXBoxScore
21202Cleveland Monsters4Ontario Reign2WBoxScore
23220Cleveland Monsters4San Diego Gulls3WXBoxScore
24236Cleveland Monsters2Lehigh Valley Phantoms6LBoxScore
26248Bridgeport Sound Tigers2Cleveland Monsters6WBoxScore
27267Iowa Wild6Cleveland Monsters15WBoxScore
29288Cleveland Monsters4Rockford IceHogs2WBoxScore
30299Bridgeport Sound Tigers5Cleveland Monsters6WXBoxScore
32313Cleveland Monsters3Hartford Wolf Pack1WBoxScore
33329Cleveland Monsters3Bakersfield Condors1WBoxScore
35343Rochester Americans2Cleveland Monsters3WBoxScore
36360Cleveland Monsters4Hershey Bears1WBoxScore
37375Colorado Eagles1Cleveland Monsters4WBoxScore
39393Cleveland Monsters2Bridgeport Sound Tigers1WBoxScore
40407Milwaukee Admirals3Cleveland Monsters2LXXBoxScore
42428Cleveland Monsters2Utica Comets4LBoxScore
43440Cleveland Monsters3Syracuse Crunch2WXBoxScore
45452Laval Rocket3Cleveland Monsters5WBoxScore
46471San Jose Barracuda4Cleveland Monsters1LBoxScore
49493Grand Rapids Griffins3Cleveland Monsters4WBoxScore
50507Cleveland Monsters3Wilkes-Barre/Scranton Penguins4LXBoxScore
52526Hartford Wolf Pack4Cleveland Monsters6WBoxScore
53539Cleveland Monsters2San Diego Gulls4LBoxScore
55557San Diego Gulls1Cleveland Monsters3WBoxScore
57573Cleveland Monsters3Hershey Bears2WXXBoxScore
58589Hartford Wolf Pack1Cleveland Monsters3WBoxScore
60611Laval Rocket0Cleveland Monsters2WBoxScore
61621Cleveland Monsters4Henderson Silver Knights3WXXBoxScore
63644Lehigh Valley Phantoms1Cleveland Monsters4WBoxScore
65657Cleveland Monsters3Tuscon Roadrunners1WBoxScore
66676Providence Bruins3Cleveland Monsters1LBoxScore
68692Cleveland Monsters5Charlotte Checkers3WBoxScore
69707Cleveland Monsters3Henderson Silver Knights1WBoxScore
70718Texas Stars6Cleveland Monsters4LBoxScore
72740Cleveland Monsters2Texas Stars1WBoxScore
73750Chicago Wolves3Cleveland Monsters8WBoxScore
75766Cleveland Monsters2Manitoba Moose3LBoxScore
76780Syracuse Crunch1Cleveland Monsters3WBoxScore
78798Cleveland Monsters3Hartford Wolf Pack2WXBoxScore
79812Cleveland Monsters2Belleville Senators1WBoxScore
80823Hershey Bears4Cleveland Monsters5WXBoxScore
82844Manitoba Moose6Cleveland Monsters3LBoxScore
84860Cleveland Monsters0Toronto Marlies2LBoxScore
85875Texas Stars3Cleveland Monsters5WBoxScore
87893Cleveland Monsters3Manitoba Moose2WBoxScore
88909Calgary Wranglers2Cleveland Monsters5WBoxScore
90929Cleveland Monsters1Calgary Wranglers3LBoxScore
91937Cleveland Monsters4Utica Comets2WBoxScore
92950San Diego Gulls3Cleveland Monsters6WBoxScore
95978Wilkes-Barre/Scranton Penguins2Cleveland Monsters3WXBoxScore
96994Cleveland Monsters3Calgary Wranglers6LBoxScore
981003Abbotsford Canucks3Cleveland Monsters5WBoxScore
1001029Utica Comets1Cleveland Monsters2WXBoxScore
1011038Cleveland Monsters6Springfield Thunderbirds5WXBoxScore
1031061Tuscon Roadrunners2Cleveland Monsters4WBoxScore
1041074Cleveland Monsters6Ontario Reign5WXBoxScore
1061096Utica Comets3Cleveland Monsters2LXBoxScore
1081118Cleveland Monsters4Providence Bruins1WBoxScore
1091128Manitoba Moose3Cleveland Monsters2LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
1111138Cleveland Monsters-Syracuse Crunch-
1131162Ontario Reign-Cleveland Monsters-
1151178Cleveland Monsters-Providence Bruins-
1171195Belleville Senators-Cleveland Monsters-
1181202Cleveland Monsters-Syracuse Crunch-
1191222Ontario Reign-Cleveland Monsters-
1221244Cleveland Monsters-Lehigh Valley Phantoms-
1231254Bridgeport Sound Tigers-Cleveland Monsters-
1251268Cleveland Monsters-San Jose Barracuda-
1261284Coachella Valley Firebirds-Cleveland Monsters-
1281288Cleveland Monsters-Bridgeport Sound Tigers-
1291302Cleveland Monsters-San Jose Barracuda-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price6040
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
5 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,082,083$ 2,501,792$ 2,501,792$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
18,953$ 2,082,083$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 22 18,953$ 416,966$




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

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

Cleveland Monsters Career Team Stats

OverallHomeVisitor
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

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

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