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Cleveland Monsters
GP: 6 | W: 3 | L: 2 | OTL: 1 | P: 9
GF: 21 | GA: 20 | PP%: 17.39% | PK%: 85.71%
GM : Josh | Morale : 40 | Team Overall : 69
Next Games #9 vs Pee Dee Pride

Cleveland Monsters
3-2-1, 9pts
Day 2
Pee Dee Pride
0-2-4, 4pts
Team Stats
N/AStreakN/A
1-1-1Home Record0-1-2
2-1-0Away Record0-1-2
0-0-0Last 10 Games0-0-0
3.50Goals Per Game1.67
3.33Goals Against Per Game1.67
17.39%Power Play Percentage15.00%
85.71%Penalty Kill Percentage100.00%
Colorado Eagles
2-4-0, 5pts
Day 4
Cleveland Monsters
3-2-1, 9pts
Team Stats
N/AStreakN/A
1-2-0Home Record1-1-1
1-2-0Away Record2-1-0
0-0-0Last 10 Games0-0-0
2.50Goals Per Game3.50
3.83Goals Against Per Game3.50
12.12%Power Play Percentage17.39%
72.00%Penalty Kill Percentage85.71%
Cleveland Monsters
3-2-1, 9pts
Day 6
Macon Whoopee
6-0-0, 16pts
Team Stats
N/AStreakN/A
1-1-1Home Record3-0-0
2-1-0Away Record3-0-0
0-0-0Last 10 Games0-0-0
3.50Goals Per Game3.67
3.33Goals Against Per Game3.67
17.39%Power Play Percentage13.64%
85.71%Penalty Kill Percentage93.33%
Team Leaders
Goals
Will Cuylle
3
Assists
Frank Nazar
7
Points
Frank Nazar
7
Plus/Minus
Olen Zellweger
1
Wins
Collin Delia
3
Save Percentage
Collin Delia
0.894

Team Stats
Goals For
21
3.50 GFG
Shots For
206
34.33 Avg
Power Play Percentage
17.4%
4 GF
Offensive Zone Start
38.5%
Goals Against
20
3.33 GAA
Shots Against
174
29.00 Avg
Penalty Kill Percentage
85.7%%
3 GA
Defensive Zone Start
36.1%
Team Info

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


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team31
Farm Team18
Contract Limit49 / 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 Wagner0X100.009445647566817674697577627782755540710341500,000$
2Will Cuylle (R)0X100.009952797280838368597572696968685540710233800,000$
3Lars Eller0X100.0078476967778079717871736470857455407003621,500,000$
4Eric Robinson0X100.008150797077787961666466706579735540680303600,000$
5Mackenzie MacEachern0X100.008546687275777664636766716679705540680312665,000$
6Sean Kuraly0X100.008551666477798666817166666580735540680321625,000$
7Vasily Podkolzin (R)0X100.0095477276738174615670646766707055406802431,500,000$
8Brett Leason0X100.0072497963927879636664647162758255406702621,000,000$
9Sam Colangelo (R)0X100.006345837277756863576277636968785540670233900,000$
10Chris Kreider0X100.008653715484777761716565666082825540660341600,000$
11Xavier Ouellet0X100.007746737385818370507364756280705540730313750,000$
12Olen Zellweger (R)0X100.0055358394588181675076687269637355407102131,000,000$
13Dan Renouf0X100.008175766987737265506362686078695540690312600,000$
14Calle Rosen0X100.005140797975717564506759696180725540680311600,000$
15Jaycob Megna0X100.005854696299747464506762695780815540680321600,000$
16Jon Merrill0X100.005648726784787968507062706081725540680331600,000$
Scratches
1Mark Arcobello0X100.0084368286498181748478706085765540407003621,500,000$
2Frank Nazar (R)0X80.7754358091538181607873685971637355406802131,750,000$
3Brock McGinn0X100.007940797352757564676767706780785540670312665,000$
4Jakob Pelletier (R)0X89.5457358087507575636469656870708055406702431,000,000$
5Matthew Peca0X100.005940797850767664796966646880635540660321600,000$
6Cole Bardreau0X100.007540707561686762656463706577585540650312665,000$
7Filip Zadina0X100.0058427973758081645565665767736555406502521,750,000$
8Adam Beckman (R)0X100.005940577565667455506259716170585540630243900,000$
9Mikko Lehtonen0X100.006544837276697161506559665877735540660312600,000$
10Nick Seeler0X100.005552657165717562506461705879695540660321625,000$
11Tim Heed0X100.005240778149727262506161756180665540660342750,000$
TEAM AVERAGE98.90714575747176776461686667667671544068
Filter Tips
PriorityTypeDescription
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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.
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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 Delia0100.007771718279798080797980776555407603121,071,427$
2Matt O'Connor0100.00746565907679807878797881665540750331600,000$
Scratches
1Roman Will0100.00775757807777787777777380655540730332750,000$
2Jeremy Smith0100.00786364787574757576747264655540710361500,000$
TEAM AVERAGE100.0077646483777778787877767665554074
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
1Frank NazarCleveland Monsters (CBJ)C5077075414225190%210821.720221150000160056.12%13924001.2901010000
2Chris WagnerCleveland Monsters (CBJ)LW61560601962211104.55%211719.600110120000121016.67%673001.0200000002
3Will CuylleCleveland Monsters (CBJ)LW6336-27518131661518.75%513522.590331190000191050.00%1222000.8911001110
4Jon MerrillCleveland Monsters (CBJ)D61340954843025.00%412020.09000011000012000%023000.6600100000
5Olen ZellwegerCleveland Monsters (CBJ)D622410031221489.52%617028.42101720000019000%0104000.4700000100
6Lars EllerCleveland Monsters (CBJ)C6123020171113457.69%28213.6700002000150065.71%3530000.7300000000
7Sam ColangeloCleveland Monsters (CBJ)RW6303-13410871521520.00%210517.59101519000000033.33%1541000.5700002000
8Xavier OuelletCleveland Monsters (CBJ)D61230201010814237.14%1015826.36101320000015000%038000.3800002000
9Dan RenoufCleveland Monsters (CBJ)D602207514107020%412120.3300001200001300100.00%111000.3300010000
10Sean KuralyCleveland Monsters (CBJ)C6022195667220%0477.8700000000000052.63%1920000.8500001000
11Mackenzie MacEachernCleveland Monsters (CBJ)LW61010005470414.29%2477.970000000000000%022000.4200000000
12Brett LeasonCleveland Monsters (CBJ)RW6000100691230%0528.830000100000000%00100000000000
13Calle RosenCleveland Monsters (CBJ)D6000-1000103110%47913.320000200001000%00300000000000
14Chris KreiderCleveland Monsters (CBJ)C1000055235110%02020.9500002000010043.33%300000000001000
15Eric RobinsonCleveland Monsters (CBJ)LW2000000140000%02110.72000000000000100.00%10100000000000
16Jakob PelletierCleveland Monsters (CBJ)LW4000000236460%0399.950000000012000%21000000000000
17Jaycob MegnaCleveland Monsters (CBJ)D6000-100431010%28113.540000000006000%00200000000000
18Vasily PodkolzinCleveland Monsters (CBJ)RW600007513810200%29115.32000012000000066.67%60000000010000
Team Total or Average96132841-21135513613917449957.47%47160316.713691715400021272053.38%2663935000.5112137212
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)63110.8943.12327001716074001.000360010
2Matt O'ConnorCleveland Monsters (CBJ)10100.8463.1638002136010006000
Team Total or Average73210.8903.1236500191738001366010


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 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$837,766$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$930,851$0$0$No1,000,000$--------1,000,000$--------No--------Link
Brock McGinnCleveland Monsters (CBJ)LW311994-02-02CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm665,000$619,016$0$0$No665,000$--------665,000$--------No--------Link
Calle RosenCleveland Monsters (CBJ)D311994-02-02SWENo176 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$558,511$0$0$No---------------------------Link
Chris KreiderCleveland Monsters (CBJ)C341991-04-30USANo229 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$558,511$0$0$No---------------------------Link
Chris WagnerCleveland Monsters (CBJ)LW341991-05-27USANo198 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$465,426$0$0$No---------------------------Link
Cole BardreauCleveland Monsters (CBJ)LW311993-07-22USANo185 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm665,000$619,016$0$0$No665,000$--------665,000$--------No--------Link
Collin DeliaCleveland Monsters (CBJ)G311994-06-20USANo208 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,071,427$997,339$0$0$No1,071,427$--------1,071,427$--------No--------Link
Dan RenoufCleveland Monsters (CBJ)D311994-06-01CANNo200 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$558,511$0$0$No600,000$--------600,000$--------No--------Link
Eric RobinsonCleveland Monsters (CBJ)LW301995-06-14USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm600,000$558,511$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$1,628,989$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$1,628,989$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$930,851$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$558,511$0$0$No---------------------------Link
Jeremy Smith (1 Way Contract)Cleveland Monsters (CBJ)G361989-04-13USANo170 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$465,426$0$0$No---------------------------Link
Jon MerrillCleveland Monsters (CBJ)D331992-02-03USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$558,511$0$0$No---------------------------Link
Lars EllerCleveland Monsters (CBJ)C361989-05-08DNKNo207 Lbs6 ft1NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,500,000$1,396,277$0$0$No1,500,000$--------1,500,000$--------No--------Link
Mackenzie MacEachernCleveland Monsters (CBJ)LW311994-03-09USANo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm665,000$619,016$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$1,396,277$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$558,511$0$0$No---------------------------
Matthew PecaCleveland Monsters (CBJ)C321993-04-27CANNo181 Lbs5 ft8NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm600,000$558,511$0$0$No---------------------------Link
Mikko LehtonenCleveland Monsters (CBJ)D311994-01-16FINNo196 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$558,511$0$0$No600,000$--------600,000$--------No--------
Nick SeelerCleveland Monsters (CBJ)D321993-06-03USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm625,000$581,782$0$0$No---------------------------Link
Olen ZellwegerCleveland Monsters (CBJ)D212003-09-10CANYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,000,000$930,851$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$698,138$0$0$No750,000$--------750,000$--------No--------
Sam ColangeloCleveland Monsters (CBJ)RW232001-12-26USAYes205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm900,000$837,766$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$581,782$0$0$No---------------------------Link
Tim HeedCleveland Monsters (CBJ)D341991-01-27SWENo180 Lbs6 ft0NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm750,000$698,138$0$0$No750,000$--------750,000$--------No--------
Vasily PodkolzinCleveland Monsters (CBJ)RW242001-06-24RUSYes190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,500,000$1,396,277$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$744,681$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$698,138$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3129.87195 Lbs6 ft11.97856,982$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Will CuylleChris KreiderSam Colangelo40014
2Chris WagnerVasily Podkolzin35014
3Eric RobinsonLars Eller20023
4Mackenzie MacEachernSean KuralyBrett Leason5032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Olen ZellwegerXavier Ouellet45032
2Jon MerrillDan Renouf35032
3Calle RosenJaycob Megna20041
4Olen ZellwegerXavier Ouellet0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Will CuylleChris KreiderSam Colangelo60005
2Chris WagnerVasily Podkolzin40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Olen ZellwegerXavier Ouellet60005
2Jon MerrillDan Renouf40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Chris KreiderWill Cuylle60050
2Chris Wagner40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Olen ZellwegerXavier Ouellet60050
2Jon MerrillDan Renouf40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Chris Kreider60050Olen ZellwegerXavier Ouellet60050
240050Jon MerrillDan Renouf40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Chris KreiderWill Cuylle60023
2Chris Wagner40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Olen ZellwegerXavier Ouellet60032
2Jon MerrillDan Renouf40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Chris WagnerChris KreiderWill CuylleOlen ZellwegerXavier Ouellet
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Will CuylleChris KreiderChris WagnerOlen ZellwegerXavier Ouellet
Extra Forwards
Normal PowerPlayPenalty Kill
Chris Kreider, , Lars EllerChris Kreider, Chris Kreider
Extra Defensemen
Normal PowerPlayPenalty Kill
Olen Zellweger, Xavier Ouellet, Jon MerrillDan RenoufJaycob Megna, Calle Rosen
Penalty Shots
Chris Kreider, Will Cuylle, , Chris Wagner,
Goalie
#1 : Collin Delia, #2 : Matt O'Connor
Custom OT Lines Forwards
Chris Kreider, , Lars Eller, Chris Wagner, Will Cuylle, Eric Robinson, , Vasily Podkolzin, Mackenzie MacEachern, Brett Leason
Custom OT Lines Defensemen
Olen Zellweger, Xavier Ouellet, Jon Merrill, Dan Renouf, Jaycob Megna


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
1Macon Whoopee20200000710-31010000057-21010000023-100.00071320108751717473556551847615120.00%60100.00%07714752.38%9013865.22%449745.36%127711275811253
2Pee Dee Pride21000010633100000103211100000031250.833671300875162747355663164353600.00%9188.89%07714752.38%9013865.22%449745.36%127711275811253
3Reading Royals210001008711000010023-11100000064240.667813210087517374735565616324612325.00%6266.67%07714752.38%9013865.22%449745.36%127711275811253
Total6220011021201301001101012-232100000118390.50021335410875120674735561745012216023417.39%21385.71%07714752.38%9013865.22%449745.36%127711275811253
_Since Last GM Reset6220011021201301001101012-232100000118390.50021335410875120674735561745012216023417.39%21385.71%07714752.38%9013865.22%449745.36%127711275811253
_Vs Conference6220011021201301001101012-232100000118390.50021335410875120674735561745012216023417.39%21385.71%07714752.38%9013865.22%449745.36%127711275811253
_Vs Division41200010131302010001089-12110000054150.417132033108751133747355611834901141119.09%15193.33%07714752.38%9013865.22%449745.36%127711275811253

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
69N/A2133542061745012216010
All Games
GPWLOTWOTL SOWSOLGFGA
62201102120
Home Games
GPWLOTWOTL SOWSOLGFGA
30101101012
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3210000118
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
23417.39%21385.71%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
74735568751
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7714752.38%9013865.22%449745.36%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
127711275811253


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
37 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,456,643$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 175 13,067$ 2,286,725$




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