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Cleveland Monsters
GP: 12 | W: 5 | L: 4 | OTL: 3 | P: 16
GF: 40 | GA: 38 | PP%: 24.49% | PK%: 83.33%
GM : Josh | Morale : 40 | Team Overall : 69
Next Games #182 vs Bloomington Bison

Game Center
Cleveland Monsters
5-4-3, 16pts
3
4 Coachella Valley Firebirds
7-4-1, 20pts
Team Stats
L1StreakL1
2-2-1Home Record3-2-0
3-2-2Home Record4-2-1
5-3-2Last 10 Games7-2-1
3.33Goals Per Game3.17
3.17Goals Against Per Game2.83
24.49%Power Play Percentage17.65%
83.33%Penalty Kill Percentage71.93%
San Diego Gulls
6-5-1, 16pts
4
2 Cleveland Monsters
5-4-3, 16pts
Team Stats
W1StreakL1
3-3-1Home Record2-2-1
3-2-0Home Record3-2-2
5-4-1Last 10 Games5-3-2
3.67Goals Per Game3.33
3.75Goals Against Per Game3.17
34.04%Power Play Percentage24.49%
66.20%Penalty Kill Percentage83.33%
Cleveland Monsters
5-4-3, 16pts
Day 30
Bloomington Bison
4-7-1, 9pts
Team Stats
L1StreakL3
2-2-1Home Record2-5-0
3-2-2Away Record2-2-1
5-3-2Last 10 Games4-5-1
3.33Goals Per Game2.92
3.17Goals Against Per Game2.92
24.49%Power Play Percentage30.56%
83.33%Penalty Kill Percentage65.33%
Cleveland Monsters
5-4-3, 16pts
Day 33
Milwaukee Admirals
6-5-1, 19pts
Team Stats
L1StreakW1
2-2-1Home Record2-1-1
3-2-2Away Record4-4-0
5-3-2Last 10 Games4-5-1
3.33Goals Per Game2.75
3.17Goals Against Per Game2.75
24.49%Power Play Percentage38.30%
83.33%Penalty Kill Percentage83.33%
Cleveland Monsters
5-4-3, 16pts
Day 36
Abbotsford Canucks
5-5-2, 15pts
Team Stats
L1StreakOTL1
2-2-1Home Record2-3-1
3-2-2Away Record3-2-1
5-3-2Last 10 Games4-4-2
3.33Goals Per Game2.83
3.17Goals Against Per Game2.83
24.49%Power Play Percentage24.24%
83.33%Penalty Kill Percentage75.86%
Team Leaders
Goals
Mark Arcobello
10
Assists
Mark Arcobello
7
Points
Mark Arcobello
17
Plus/Minus
Mark Arcobello
3
Wins
Collin Delia
4
Save Percentage
Matt O'Connor
0.906

Team Stats
Goals For
40
3.33 GFG
Shots For
441
36.75 Avg
Power Play Percentage
24.5%
12 GF
Offensive Zone Start
39.3%
Goals Against
38
3.17 GAA
Shots Against
387
32.25 Avg
Penalty Kill Percentage
83.3%%
7 GA
Defensive Zone Start
37.4%
Team Info

General ManagerJosh
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,239
Season Tickets1,260


Roster Info

Pro Team30
Farm Team18
Contract Limit48 / 250
Prospects64


Filter Tips
PriorityTypeDescription
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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")
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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
1Chris Wagner0X99.009445647566817674697577627782755540710341500,000$
2Will Cuylle (R)0X100.009952797280838368597572696968685540710233800,000$
3Mark Arcobello0X99.0084368286498181748478706085765540407003621,500,000$
4Lars Eller0X100.0078476967778079717871736470857455407003621,500,000$
5Eric Robinson0X100.008150797077787961666466706579735540680303600,000$
6Frank Nazar (R)0X100.0054358091538181607873685971637355406802131,750,000$
7Mackenzie MacEachern0X100.008546687275777664636766716679705540680312665,000$
8Sean Kuraly0X100.008551666477798666817166666580735540680321625,000$
9Vasily Podkolzin (R)0X100.0095477276738174615670646766707055406802431,500,000$
10Brett Leason0X100.0072497963927879636664647162758255406702621,000,000$
11Jakob Pelletier (R)0X100.0057358087507575636469656870708055406702431,000,000$
12Sam Colangelo (R)0X100.006345837277756863576277636968785540670233900,000$
13Xavier Ouellet0X99.007746737385818370507364756280705540730313750,000$
14Olen Zellweger (R)0X98.0055358394588181675076687269637355407102131,000,000$
15Dan Renouf0X100.008175766987737265506362686078695540690312600,000$
16Jon Merrill0X100.005648726784787968507062706081725540680331600,000$
17Mikko Lehtonen0X100.006544837276697161506559665877735540660312600,000$
18Nick Seeler0X100.005552657165717562506461705879695540660321625,000$
Scratches
1Brock McGinn0X100.007940797352757564676767706780785540670312665,000$
2Chris Kreider0X100.008653715484777761716565666082825540660341600,000$
3Matthew Peca0X100.005940797850767664796966646880635540660321600,000$
4Filip Zadina0X100.0058427973758081645565665767736555406502521,750,000$
5Adam Beckman (R)0X100.005940577565667455506259716170585540630243900,000$
6Calle Rosen0X86.915140797975717564506759696180725540680311600,000$
7Jaycob Megna0X90.265854696299747464506762695780815540680321600,000$
8Tim Heed0X100.005240778149727262506161756180665540660342750,000$
TEAM AVERAGE98.93714675747177776561686667667672544068
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.
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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
1Collin Delia096.007771718279798080797980776555407603121,071,427$
2Roman Will0100.00775757807777787777777380655540730332750,000$
Scratches
1Matt O'Connor083.16746565907679807878797881665540750331600,000$
2Jeremy Smith0100.00786364787574757576747264655540710361500,000$
TEAM AVERAGE94.7977646483777778787877767665554074
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
1Mark ArcobelloCleveland Monsters (CBJ)C1210717355283063182315.87%726321.952576340000381055.76%330105101.2912001320
2Chris WagnerCleveland Monsters (CBJ)LW125611016041105513279.09%925221.0643712380000201150.00%18165000.8712000100
3Lars EllerCleveland Monsters (CBJ)C124610-32010271825101716.00%619716.471122140000161156.10%12332011.0112011011
4Olen ZellwegerCleveland Monsters (CBJ)D101781206183117233.23%2828828.89022338000334000%0919000.5500000101
5Jon MerrillCleveland Monsters (CBJ)D120663331572422260%1628123.48011226000023000%068000.4300102000
6Sam ColangeloCleveland Monsters (CBJ)RW12336-423513132261013.64%620216.87123331000000020.00%1036000.5901001001
7Vasily PodkolzinCleveland Monsters (CBJ)RW12066075316167150%220717.30022536000000061.54%1324000.5800100000
8Chris KreiderCleveland Monsters (CBJ)C80553757146120%49011.35011050000140048.78%4102001.1000010000
9Eric RobinsonCleveland Monsters (CBJ)LW12314-1001972581812.00%213911.6500001000050057.14%754000.5700000010
10Frank NazarCleveland Monsters (CBJ)C4314-4002112071015.00%38521.30202718000020058.47%11851000.9402000000
11Jakob PelletierCleveland Monsters (CBJ)LW8224-3001317245218.33%115118.991015220000220050.00%883000.5302000010
12Mackenzie MacEachernCleveland Monsters (CBJ)LW1222421152081541413.33%5917.6200000000001080.00%533000.8700001000
13Sean KuralyCleveland Monsters (CBJ)C12134014101714178185.88%21199.9300000000000051.47%6842000.6700101000
14Will CuylleCleveland Monsters (CBJ)LW7224-4951591391015.38%512517.860110600011200100.00%241000.6400100000
15Xavier OuelletCleveland Monsters (CBJ)D9134-12715172821754.76%1322825.42101537000122000%097000.3500120000
16Filip ZadinaCleveland Monsters (CBJ)RW91233204611389.09%2687.630000000000000%010000.8711000000
17Brett LeasonCleveland Monsters (CBJ)RW1202201210103184200%512410.390000200000000%122000.3200002000
18Dan RenoufCleveland Monsters (CBJ)D12011-119151317228120%1825321.13000027000027000%037000.0800003000
19Jaycob MegnaCleveland Monsters (CBJ)D6011-355273230%27512.640000000006000%024000.2600100000
20Mikko LehtonenCleveland Monsters (CBJ)D9011055476720%812313.6900007000010000%004000.1600010000
21Nick SeelerCleveland Monsters (CBJ)D3011-220232000%26020.180000100003000%013000.3300000000
22Tim HeedCleveland Monsters (CBJ)D51011002531133.33%05911.900000600000000%000000.3400000000
23Calle RosenCleveland Monsters (CBJ)D6000-300121220%57612.790000000002000%00300000000000
Team Total or Average2163968107-132191153012774411492678.84%151356916.521218305035700052664255.11%7449695110.604126512553
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
1Collin DeliaCleveland Monsters (CBJ)114420.9042.965682128291150100.66712102101
2Matt O'ConnorCleveland Monsters (CBJ)41010.9063.291640099652000027000
Team Total or Average155430.9043.0373221373872021012129101


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary 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 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
Adam BeckmanCleveland Monsters (CBJ)LW242001-05-10CANYes183 Lbs6 ft2NoNoFree AgentNoNo32025-10-26FalseFalsePro & Farm900,000$770,745$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Brett LeasonCleveland Monsters (CBJ)RW261999-04-30CANNo218 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,000,000$856,383$0$0$No1,000,000$--------1,000,000$--------No--------Link
Brock McGinnCleveland Monsters (CBJ)LW311994-02-02CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm665,000$569,495$0$0$No665,000$--------665,000$--------No--------Link
Calle RosenCleveland Monsters (CBJ)D311994-02-02SWENo176 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No---------------------------Link
Chris KreiderCleveland Monsters (CBJ)C341991-04-30USANo229 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No---------------------------Link
Chris WagnerCleveland Monsters (CBJ)LW341991-05-27USANo198 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Link
Collin DeliaCleveland Monsters (CBJ)G311994-06-20USANo208 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,071,427$917,552$0$0$No1,071,427$--------1,071,427$--------No--------Link
Dan RenoufCleveland Monsters (CBJ)D311994-06-01CANNo200 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No600,000$--------600,000$--------No--------Link
Eric RobinsonCleveland Monsters (CBJ)LW301995-06-14USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Link
Filip ZadinaCleveland Monsters (CBJ)RW251999-11-27CZENo196 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,750,000$1,498,670$0$0$No1,750,000$--------1,750,000$--------No--------Link
Frank NazarCleveland Monsters (CBJ)C212004-01-14USAYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,750,000$1,498,670$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Link
Jakob PelletierCleveland Monsters (CBJ)LW242001-03-07CANYes170 Lbs5 ft9NoNoFree AgentNoNo32025-10-26FalseFalsePro & Farm1,000,000$856,383$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link
Jaycob MegnaCleveland Monsters (CBJ)D321992-12-10USANo220 Lbs6 ft6NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No---------------------------Link
Jeremy Smith (1 Way Contract)Cleveland Monsters (CBJ)G361989-04-13USANo170 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Link
Jon MerrillCleveland Monsters (CBJ)D331992-02-03USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No---------------------------Link
Lars EllerCleveland Monsters (CBJ)C361989-05-08DNKNo207 Lbs6 ft1NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,500,000$1,284,574$0$0$No1,500,000$--------1,500,000$--------No--------Link
Mackenzie MacEachernCleveland Monsters (CBJ)LW311994-03-09USANo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm665,000$569,495$0$0$No665,000$--------665,000$--------No--------Link
Mark Arcobello (1 Way Contract)Cleveland Monsters (CBJ)C361988-08-12USANo172 Lbs5 ft8NoNoFree AgentNoNo22026-01-11FalseFalsePro & Farm1,500,000$1,284,574$0$0$No1,500,000$--------1,500,000$--------No--------Link
Matt O'ConnorCleveland Monsters (CBJ)G331992-02-14CANNo205 Lbs6 ft6NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No---------------------------
Matthew PecaCleveland Monsters (CBJ)C321993-04-27CANNo181 Lbs5 ft8NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No---------------------------Link
Mikko LehtonenCleveland Monsters (CBJ)D311994-01-16FINNo196 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$513,830$0$0$No600,000$--------600,000$--------No--------
Nick SeelerCleveland Monsters (CBJ)D321993-06-03USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm625,000$535,239$0$0$No---------------------------Link
Olen ZellwegerCleveland Monsters (CBJ)D212003-09-10CANYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,000,000$856,383$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link
Roman WillCleveland Monsters (CBJ)G331992-05-22CZENo195 Lbs6 ft1NoNoFree AgentNoNo22025-10-29FalseFalsePro & Farm750,000$642,287$0$0$No750,000$--------750,000$--------No--------
Sam ColangeloCleveland Monsters (CBJ)RW232001-12-26USAYes205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm900,000$770,745$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Sean KuralyCleveland Monsters (CBJ)C321993-01-20USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm625,000$535,239$0$0$No---------------------------Link
Tim HeedCleveland Monsters (CBJ)D341991-01-27SWENo180 Lbs6 ft0NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm750,000$642,287$0$0$No750,000$--------750,000$--------No--------
Vasily PodkolzinCleveland Monsters (CBJ)RW242001-06-24RUSYes190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,500,000$1,284,574$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Link
Will CuylleCleveland Monsters (CBJ)LW232002-02-05CANYes211 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm800,000$685,106$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Link
Xavier OuelletCleveland Monsters (CBJ)D311993-07-29FRANo196 Lbs6 ft1NoNoFree AgentNoNo32025-10-20FalseFalsePro & Farm750,000$642,287$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3029.83195 Lbs6 ft11.97863,381$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Will CuylleFrank NazarSam Colangelo40023
2Chris WagnerMark ArcobelloVasily Podkolzin30023
3Jakob PelletierLars EllerEric Robinson20032
4Mackenzie MacEachernSean KuralyBrett Leason10032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Olen ZellwegerXavier Ouellet45032
2Jon MerrillDan Renouf35032
3Jon MerrillNick Seeler20032
4Nick SeelerMikko Lehtonen0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chris WagnerFrank NazarVasily Podkolzin60005
2Jakob PelletierMark ArcobelloSam Colangelo40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Olen ZellwegerXavier Ouellet60005
2Jon MerrillDan Renouf40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mark ArcobelloJakob Pelletier60050
2Lars EllerChris Wagner40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Olen ZellwegerXavier Ouellet60050
2Jon MerrillDan Renouf40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mark Arcobello60050Olen ZellwegerXavier Ouellet60050
2Lars Eller40050Jon MerrillDan Renouf40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mark ArcobelloChris Wagner60023
2Lars EllerJakob Pelletier40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Olen ZellwegerXavier Ouellet60032
2Jon MerrillDan Renouf40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Chris WagnerFrank NazarJakob PelletierNick SeelerMikko Lehtonen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jakob PelletierMark ArcobelloChris WagnerNick SeelerMikko Lehtonen
Extra Forwards
Normal PowerPlayPenalty Kill
Frank Nazar, Mark Arcobello, Lars EllerFrank Nazar, Mark ArcobelloMark Arcobello
Extra Defensemen
Normal PowerPlayPenalty Kill
Olen Zellweger, Xavier Ouellet, Jon MerrillOlen ZellwegerDan Renouf, Nick Seeler
Penalty Shots
Frank Nazar, Jakob Pelletier, Mark Arcobello, Chris Wagner, Lars Eller
Goalie
#1 : Collin Delia, #2 : Roman Will
Custom OT Lines Forwards
Mark Arcobello, Lars Eller, Chris Wagner, Jakob Pelletier, Sam Colangelo, Vasily Podkolzin, , , ,
Custom OT Lines Defensemen
Olen Zellweger, Xavier Ouellet, Jon Merrill, Dan Renouf, Mikko Lehtonen


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
1Bakersfield Condors1010000023-1000000000001010000023-100.000246001012165361511321551533153625100.00%30100.00%016128855.90%14627453.28%10317160.23%256144259113217107
2Coachella Valley Firebirds1000000134-1000000000001000000134-110.333358001012165351511321551532109316116.67%20100.00%016128855.90%14627453.28%10317160.23%256144259113217107
3Colorado Eagles1000010067-1000000000001000010067-110.33361218001012165381511321551538920203266.67%5180.00%016128855.90%14627453.28%10317160.23%256144259113217107
4Grand Rapids Griffins11000000312000000000001100000031231.00036900101216534151132155152723432200.00%20100.00%016128855.90%14627453.28%10317160.23%256144259113217107
5Greensboro Gargoyles10001000321000000000001000100032120.6673470010121654515113215515291622174125.00%6266.67%016128855.90%14627453.28%10317160.23%256144259113217107
6Henderson Silver Knights11000000431110000004310000000000031.000459001012165411511321551528128219333.33%3166.67%016128855.90%14627453.28%10317160.23%256144259113217107
7Laval Rocket10000010321100000103210000000000020.667347001012165311511321551530104405120.00%2150.00%016128855.90%14627453.28%10317160.23%256144259113217107
8Macon Whoopee1000010034-11000010034-10000000000010.3333580010121653715113215515461918224125.00%4175.00%016128855.90%14627453.28%10317160.23%256144259113217107
9Pee Dee Pride1010000036-31010000036-30000000000000.00036900101216534151132155154792924300.00%7185.71%016128855.90%14627453.28%10317160.23%256144259113217107
10Rockford IceHogs11000000707000000000001100000070731.00071118011012165341511321551518826164250.00%30100.00%016128855.90%14627453.28%10317160.23%256144259113217107
11San Diego Gulls1010000024-21010000024-20000000000000.0002460010121654015113215515351335237114.29%50100.00%016128855.90%14627453.28%10317160.23%256144259113217107
12Wheeling Nailers1010000012-1000000000001010000012-100.00012300101216536151132155152471030100.00%000%016128855.90%14627453.28%10317160.23%256144259113217107
Total12340121140382512001101519-47220110125196160.444406810801101216544115113215515387151221301491224.49%42783.33%016128855.90%14627453.28%10317160.23%256144259113217107
_Since Last GM Reset12340121140382512001101519-47220110125196160.444406810801101216544115113215515387151221301491224.49%42783.33%016128855.90%14627453.28%10317160.23%256144259113217107
_Vs Conference9330020133321412001001217-55210010121156120.44433589101101216532915113215515304118185214391025.64%34488.24%016128855.90%14627453.28%10317160.23%256144259113217107
_Vs Division622002002421320100100610-4421001001811780.444244468011012165213151132155152098313313917529.41%24387.50%016128855.90%14627453.28%10317160.23%256144259113217107

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1216L1406810844138715122130101
All Games
GPWLOTWOTL SOWSOLGFGA
123412114038
Home Games
GPWLOTWOTL SOWSOLGFGA
51201101519
Visitor Games
GPWLOTWOTL SOWSOLGFGA
72211012519
Last 10 Games
WLOTWOTL SOWSOL
530101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
491224.49%42783.33%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
151132155151012165
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
16128855.90%14627453.28%10317160.23%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
256144259113217107


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
29Pee Dee Pride6Cleveland Monsters3LBox score
422Cleveland Monsters6Colorado Eagles7LXBox score
640Macon Whoopee4Cleveland Monsters3LXBox score
852Cleveland Monsters7Rockford IceHogs0WBox score
1066Cleveland Monsters3Grand Rapids Griffins1WBox score
1280Cleveland Monsters2Bakersfield Condors3LBox score
1498Henderson Silver Knights3Cleveland Monsters4WBox score
16112Cleveland Monsters3Greensboro Gargoyles2WXBox score
17119Laval Rocket2Cleveland Monsters3WXXBox score
20139Cleveland Monsters1Wheeling Nailers2LBox score
24151Cleveland Monsters3Coachella Valley Firebirds4LXXBox score
26162San Diego Gulls4Cleveland Monsters2LBox score
30182Cleveland Monsters-Bloomington Bison-
33196Cleveland Monsters-Milwaukee Admirals-
36210Cleveland Monsters-Abbotsford Canucks-
38219Reading Royals-Cleveland Monsters-
41233Cleveland Monsters-Reading Royals-
45250Abbotsford Canucks-Cleveland Monsters-
48263Milwaukee Admirals-Cleveland Monsters-
51277Bloomington Bison-Cleveland Monsters-
54290Cleveland Monsters-San Diego Gulls-
57305Coachella Valley Firebirds-Cleveland Monsters-
60320Rochester Americans-Cleveland Monsters-
62330Cleveland Monsters-Utica Devils-
63340Iowa Heartlanders-Cleveland Monsters-
65354Cleveland Monsters-Providence Bruins-
68376Bakersfield Condors-Cleveland Monsters-
70390Grand Rapids Griffins-Cleveland Monsters-
72404Rockford IceHogs-Cleveland Monsters-
74418Cleveland Monsters-Macon Whoopee-
77429Savannah Ghost Pirates-Cleveland Monsters-
79446Trois Rivieres Lions-Cleveland Monsters-
81457Cleveland Monsters-Lehigh Valley Phantoms-
84472Cleveland Monsters-Milwaukee Admirals-
86485Cleveland Monsters-Abbotsford Canucks-
89500Reading Royals-Cleveland Monsters-
91508Athens Rock Lobsters-Cleveland Monsters-
94529Cleveland Monsters-Athens Rock Lobsters-
96540Cleveland Monsters-Bridgeport Islanders-
97547Bridgeport Islanders-Cleveland Monsters-
99566Orlando Solar Bears-Cleveland Monsters-
101576Cleveland Monsters-Greenville Swamp Rabbits-
103591Colorado Eagles-Cleveland Monsters-
106607Cleveland Monsters-Pee Dee Pride-
110626Cleveland Monsters-Henderson Silver Knights-
114644Coachella Valley Firebirds-Cleveland Monsters-
117657Cleveland Monsters-San Diego Gulls-
119665Bloomington Bison-Cleveland Monsters-
121676Cleveland Monsters-Iowa Heartlanders-
123690Utica Devils-Cleveland Monsters-
125707Cleveland Monsters-Rochester Americans-
127719Wheeling Nailers-Cleveland Monsters-
130741Cleveland Monsters-Laval Rocket-
132756Greensboro Gargoyles-Cleveland Monsters-
135766Cleveland Monsters-Bakersfield Condors-
137780Cleveland Monsters-Grand Rapids Griffins-
139794Rockford IceHogs-Cleveland Monsters-
142810Macon Whoopee-Cleveland Monsters-
144824Providence Bruins-Cleveland Monsters-
147835Cleveland Monsters-Savannah Ghost Pirates-
149847Cleveland Monsters-Trois Rivieres Lions-
151855Lehigh Valley Phantoms-Cleveland Monsters-
153872Cleveland Monsters-Orlando Solar Bears-
156887Greenville Swamp Rabbits-Cleveland Monsters-
158899Milwaukee Admirals-Cleveland Monsters-
160912Abbotsford Canucks-Cleveland Monsters-
162927Cleveland Monsters-Reading Royals-
164941Cleveland Monsters-Bloomington Bison-
166955San Diego Gulls-Cleveland Monsters-
168970Cleveland Monsters-Coachella Valley Firebirds-
Trade Deadline --- Trades can’t be done after this day is simulated!
171985Bakersfield Condors-Cleveland Monsters-
173999Grand Rapids Griffins-Cleveland Monsters-
1751013Cleveland Monsters-Rockford IceHogs-
1771027Cleveland Monsters-Macon Whoopee-
1801044Colorado Eagles-Cleveland Monsters-
1811058Cleveland Monsters-Colorado Eagles-
1831073Pee Dee Pride-Cleveland Monsters-
1841087Cleveland Monsters-Pee Dee Pride-
1861106Henderson Silver Knights-Cleveland Monsters-
1871120Cleveland Monsters-Henderson Silver Knights-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2612
Attendance7,8433,352
Attendance PCT78.43%67.04%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
35 2239 - 74.63% 56,357$281,783$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
341,512$ 2,390,143$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 341,512$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,972,481$ 161 12,714$ 2,046,954$




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