Login

Cleveland Monsters
GP: 14 | W: 2 | L: 11 | OTL: 1 | P: 5
GF: 13 | GA: 39 | PP%: 22.73% | PK%: 52.00%
GM : Fredrik Omdal | Morale : 40 | Team Overall : 57
Next Games #238 vs Rochester Americans
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Cleveland Monsters
2-11-1, 5pts
1
FINAL
2 Syracuse Crunch
2-11-2, 6pts
Team Stats
L7StreakL2
2-5-1Home Record1-6-0
0-6-0Away Record1-5-2
2-8-0Last 10 Games2-6-2
0.93Goals Per Game1.27
2.79Goals Against Per Game2.60
22.73%Power Play Percentage20.00%
52.00%Penalty Kill Percentage65.85%
Springfield Thunderbirds
8-5-2, 18pts
5
FINAL
1 Cleveland Monsters
2-11-1, 5pts
Team Stats
W3StreakL7
3-3-1Home Record2-5-1
5-2-1Away Record0-6-0
7-3-0Last 10 Games2-8-0
3.07Goals Per Game0.93
2.47Goals Against Per Game2.79
48.57%Power Play Percentage22.73%
63.64%Penalty Kill Percentage52.00%
Cleveland Monsters
2-11-1, 5pts
2022-11-23
Rochester Americans
6-7-1, 13pts
Team Stats
L7StreakL4
2-5-1Home Record1-5-1
0-6-0Away Record5-2-0
2-8-0Last 10 Games4-5-1
0.93Goals Per Game2.43
2.79Goals Against Per Game2.43
22.73%Power Play Percentage36.36%
52.00%Penalty Kill Percentage66.67%
Cleveland Monsters
2-11-1, 5pts
2022-11-25
Laval Rocket
8-6-1, 17pts
Team Stats
L7StreakW2
2-5-1Home Record4-2-1
0-6-0Away Record4-4-0
2-8-0Last 10 Games5-5-0
0.93Goals Per Game2.20
2.79Goals Against Per Game2.20
22.73%Power Play Percentage42.86%
52.00%Penalty Kill Percentage69.57%
Cleveland Monsters
2-11-1, 5pts
2022-11-27
Bridgeport Islanders
8-3-3, 19pts
Team Stats
L7StreakW3
2-5-1Home Record4-2-2
0-6-0Away Record4-1-1
2-8-0Last 10 Games5-3-2
0.93Goals Per Game2.43
2.79Goals Against Per Game2.43
22.73%Power Play Percentage33.33%
52.00%Penalty Kill Percentage63.89%
Team Leaders
Kevin StenlundGoals
Kevin Stenlund
4
Liam FoudyAssists
Liam Foudy
3
Liam FoudyPoints
Liam Foudy
5
Scott HarringtonPlus/Minus
Scott Harrington
0
Wins
Jean-Francois Berube
2
Save Percentage
Jean-Francois Berube
0.887

Team Stats
Goals For
13
0.93 GFG
Shots For
226
16.14 Avg
Power Play Percentage
22.7%
5 GF
Offensive Zone Start
32.0%
Goals Against
39
2.79 GAA
Shots Against
346
24.71 Avg
Penalty Kill Percentage
52.0%%
12 GA
Defensive Zone Start
39.5%
Team Info

General ManagerFredrik Omdal
CoachBrad Larsen
DivisionNorth Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,473
Season Tickets300


Roster Info

Pro Team25
Farm Team20
Contract Limit45 / 60
Prospects18


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
1Kevin Stenlund0XX100.0082818571816364617659576954545462476202611,050,000$
2Yegor Chinakhov (R)0X100.007142918466636065256060647552526444610212925,000$
3Liam Foudy (R)0XXX100.007872928173616162786060655747476451610221894,167$
4Carson Meyer0X99.008645866567517460256258692546466339590251820,000$
5Josh Dunne0X100.007580647981515054694657615545455846580241925,000$
6Josh Ho-Sang0X100.007064857664524963505963616145456350580261750,000$
7Trey Fix-Wolansky0X100.006563706964616162505863586045456139570231809,166$
8Jamie Devane0X100.008087656087505148504148644649485243560311750,000$
9Tyler Angle (R)0X100.006962866362636458745953595145455844560223850,833$
10Josh Melnick0XX100.007465966665626455704956615445455944560271750,000$
11Cole Fonstad (R)0XX100.007060937161504956715157595545455943550221750,000$
12Anatolii Golyshev0XX100.006863816963403656504662586045455843540271750,000$
13Adam Boqvist0X100.006541928464726974255561642560606644620221894,167$
14Gavin Bayreuther0X99.007775857374626260255447725354545942620282750,000$
15Gabriel Carlsson0X99.006943917979605760255348702559595941610251750,000$
16Scott Harrington0X100.0080769070765862472534416739626252435802911,633,333$
17Jake Christiansen (R)0X100.007644996773546254253954632545455841560232925,000$
18Jesse Lees0X100.007871956771383746253739613745444943530271750,000$
Scratches
1Emil Bemstrom0XX100.007343968270576069446168622558586828620231925,000$
2Adam Johnson0XX100.007064846264555751645047594545455436530281750,000$
3Billy Sweezey0X100.007076576376606446253541583944445035540261750,000$
4Zac Leslie0X100.006664706864535452254941573944445236530281750,000$
TEAM AVERAGE99.86736384717056585745515463464949594258
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
1Daniil Tarasov (R)0100.00474354804847505349493044444844500231925,000$
2Jean-Francois Berube098.00475164664447495247483048484840490311750,000$
Scratches
1Peyton Jones (R)0100.00444151854544454945454544444536480261750,000$
TEAM AVERAGE99.3346455677464648514747354545474049
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brad Larsen70707050994050CAN451500,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Liam FoudyCleveland Monsters (CBJ)C/LW/RW14235-5323016213710165.41%530221.601012160000121059.46%74112000.3300213010
2Kevin StenlundCleveland Monsters (CBJ)C/RW14415-49518242251018.18%428120.101121160000110051.43%3574000.3600100110
3Adam BoqvistCleveland Monsters (CBJ)D14123-500123223674.35%1031822.78011318000115000.00%084000.1900000000
4Josh Ho-SangCleveland Monsters (CBJ)RW14033-415151619205150.00%325418.19022114000000046.46%12754000.2411201000
5Trey Fix-WolanskyCleveland Monsters (CBJ)RW14213-102552625155813.33%829721.241121150000120053.85%1338000.2000010000
6Yegor ChinakhovCleveland Monsters (CBJ)RW14112-500181811369.09%724417.49112216000000112.50%893000.1600000001
7Scott HarringtonCleveland Monsters (CBJ)D14022029157205310.00%1025418.17000016000013000.00%018000.1600012000
8Carson MeyerCleveland Monsters (CBJ)RW14112-7115251713767.69%1028620.48011013000080034.39%15735000.1401010000
9Gavin BayreutherCleveland Monsters (CBJ)D14022-112525201819760.00%1934824.92011113000015000.00%0616000.1100221000
10Emil BemstromCleveland Monsters (CBJ)LW/RW3101-2001373514.29%24414.9310121000010065.22%2310000.4500000000
11Cole SillingerColumbus Blue JacketsC2011020232260.00%13819.2701101000010071.43%3542000.5200000000
12Gabriel CarlssonCleveland Monsters (CBJ)D14011-1000143119750.00%1435325.22000116000214000.00%0413000.0600000000
13Jamie DevaneCleveland Monsters (CBJ)LW11011-24015103120.00%414112.9000001000040066.67%303000.1400000000
14Tyler AngleCleveland Monsters (CBJ)C14011-975162112660.00%324717.6800002000040060.00%3033000.0800100000
15Jake ChristiansenCleveland Monsters (CBJ)D14011-90010123010.00%922215.920000000000000.00%0111000.0900000000
16Anatolii GolyshevCleveland Monsters (CBJ)LW/RW12000-300961000.00%1887.34000010000000100.00%200000.00%00000000
17Jesse LeesCleveland Monsters (CBJ)D11000-200431110.00%213412.200000100001000.00%001000.00%00000000
18Josh DunneCleveland Monsters (CBJ)C14000-7241025195480.00%220214.4900000000010071.43%1413000.00%00101000
19Cole FonstadCleveland Monsters (CBJ)C/LW14000-100345200.00%0674.8100000000000057.14%700000.00%00000000
20Josh MelnickCleveland Monsters (CBJ)C/RW14000000100000.00%0161.170000000000000.00%400000.00%00000000
21Billy SweezeyCleveland Monsters (CBJ)D3000-300463010.00%45418.070000000000000.00%001000.00%00000000
Team Total or Average252122133-99183115262312226771105.31%118420116.6759141416700031211148.68%5326791000.1612968121
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
1Jean-Francois BerubeCleveland Monsters (CBJ)1421110.8872.768472039346218001.0003140100
Team Total or Average1421110.8872.768472039346218003140100


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract 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 10Link
Adam BoqvistCleveland Monsters (CBJ)D222000-12-31No179 Lbs5 ft11NoNoNo1Pro & Farm894,167$0$0$NoLink / NHL Link
Adam JohnsonCleveland Monsters (CBJ)C/LW281994-12-31No174 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Anatolii GolyshevCleveland Monsters (CBJ)LW/RW271995-12-31No178 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Billy SweezeyCleveland Monsters (CBJ)D261996-12-31No205 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Carson MeyerCleveland Monsters (CBJ)RW251997-12-31No181 Lbs5 ft11NoNoNo1Pro & Farm820,000$0$0$NoLink / NHL Link
Cole FonstadCleveland Monsters (CBJ)C/LW222000-12-31Yes165 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Daniil TarasovCleveland Monsters (CBJ)G231999-12-31Yes185 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLink / NHL Link
Emil BemstromCleveland Monsters (CBJ)LW/RW231999-12-31No193 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLink / NHL Link
Gabriel CarlssonCleveland Monsters (CBJ)D251997-12-31No203 Lbs6 ft5NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Gavin BayreutherCleveland Monsters (CBJ)D281994-12-31No195 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Link / NHL Link
Jake ChristiansenCleveland Monsters (CBJ)D231999-12-31Yes195 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Link / NHL Link
Jamie DevaneCleveland Monsters (CBJ)LW311991-12-31No232 Lbs6 ft5NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Jean-Francois BerubeCleveland Monsters (CBJ)G311991-12-31No177 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLink
Jesse LeesCleveland Monsters (CBJ)D271995-12-31No196 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Josh DunneCleveland Monsters (CBJ)C241998-12-31No210 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLink / NHL Link
Josh Ho-SangCleveland Monsters (CBJ)RW261996-12-31No173 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLink
Josh MelnickCleveland Monsters (CBJ)C/RW271995-12-31No181 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Kevin StenlundCleveland Monsters (CBJ)C/RW261996-12-31No215 Lbs6 ft4NoNoNo1Pro & Farm1,050,000$0$0$NoLink / NHL Link
Liam FoudyCleveland Monsters (CBJ)C/LW/RW222000-12-31Yes193 Lbs6 ft2NoNoNo1Pro & Farm894,167$0$0$NoLink / NHL Link
Peyton JonesCleveland Monsters (CBJ)G261996-12-31Yes209 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Scott HarringtonCleveland Monsters (CBJ)D291993-12-31No206 Lbs6 ft2NoNoNo1Pro & Farm1,633,333$0$0$NoLink / NHL Link
Trey Fix-WolanskyCleveland Monsters (CBJ)RW231999-12-31No187 Lbs5 ft7NoNoNo1Pro & Farm809,166$0$0$NoLink / NHL Link
Tyler AngleCleveland Monsters (CBJ)C222000-12-31Yes172 Lbs5 ft10NoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$Link / NHL Link
Yegor ChinakhovCleveland Monsters (CBJ)RW212001-12-31Yes179 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$NHL Link
Zac LeslieCleveland Monsters (CBJ)D281994-12-31No174 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2525.40190 Lbs6 ft11.20853,067$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Liam FoudyCarson MeyerKevin Stenlund30122
2Yegor ChinakhovJosh Ho-SangTrey Fix-Wolansky27122
3Carson MeyerLiam FoudyJosh Dunne23122
4Trey Fix-WolanskyJosh Ho-SangTyler Angle20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Gavin BayreutherAdam Boqvist30122
2Gabriel CarlssonScott Harrington27122
3Jake ChristiansenGabriel Carlsson23122
4Gabriel CarlssonGavin Bayreuther20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Liam FoudyCarson MeyerKevin Stenlund50122
2Yegor ChinakhovJosh Ho-SangTrey Fix-Wolansky50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Gavin BayreutherGabriel Carlsson50122
2Adam BoqvistScott Harrington50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Liam FoudyCarson Meyer50122
2Kevin StenlundTrey Fix-Wolansky50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Gabriel CarlssonGavin Bayreuther50122
2Scott HarringtonAdam Boqvist50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Trey Fix-Wolansky50122Gavin BayreutherGabriel Carlsson50122
2Liam Foudy50122Adam BoqvistJake Christiansen50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Liam FoudyKevin Stenlund50122
2Yegor ChinakhovTrey Fix-Wolansky50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Gabriel CarlssonGavin Bayreuther50122
2Jake ChristiansenScott Harrington50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Liam FoudyYegor ChinakhovKevin StenlundGavin BayreutherGabriel Carlsson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Liam FoudyYegor ChinakhovKevin StenlundGavin BayreutherGabriel Carlsson
Extra Forwards
Normal PowerPlayPenalty Kill
Trey Fix-Wolansky, Liam Foudy, Carson MeyerTrey Fix-Wolansky, Liam FoudyTrey Fix-Wolansky
Extra Defensemen
Normal PowerPlayPenalty Kill
Gabriel Carlsson, Gavin Bayreuther, Adam BoqvistGabriel CarlssonScott Harrington, Gavin Bayreuther
Penalty Shots
Carson Meyer, Josh Ho-Sang, Josh Dunne, Trey Fix-Wolansky, Liam Foudy
Goalie
#1 : Jean-Francois Berube, #2 : Daniil Tarasov


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 Canucks2020000025-31010000024-21010000001-100.000224002371494581911143172343400.00%4175.00%08917052.35%10421049.52%6615243.42%23888276147332173
2Belleville Senators2020000006-61010000003-31010000003-300.00000000237117458191114071938200.00%2150.00%08917052.35%10421049.52%6615243.42%23888276147332173
3Laval Rocket2020000015-41010000002-21010000013-200.0001230023712345819111461433384125.00%4325.00%08917052.35%10421049.52%6615243.42%23888276147332173
4Rochester Americans1010000024-21010000024-20000000000000.000235002371214581911132117182150.00%110.00%08917052.35%10421049.52%6615243.42%23888276147332173
5Springfield Thunderbirds1010000015-41010000015-40000000000000.000123002371154581911138132817100.00%4250.00%08917052.35%10421049.52%6615243.42%23888276147332173
6Syracuse Crunch20100010330100000102111010000012-120.50034700237118458191111671436400.00%2150.00%08917052.35%10421049.52%6615243.42%23888276147332173
7Toronto Marlies2110000036-3110000002111010000015-420.5003690023712845819111622942334250.00%6350.00%08917052.35%10421049.52%6615243.42%23888276147332173
8Utica Comets2010010015-41000010012-11010000003-310.25012300237155458191116920193911100.00%20100.00%08917052.35%10421049.52%6615243.42%23888276147332173
Total14111001101339-26815001101022-1260600000317-1450.1791321340023712264581911134611818526222522.73%251252.00%08917052.35%10421049.52%6615243.42%23888276147332173
_Since Last GM Reset14111001101339-26815001101022-1260600000317-1450.1791321340023712264581911134611818526222522.73%251252.00%08917052.35%10421049.52%6615243.42%23888276147332173
_Vs Conference14111001101339-26815001101022-1260600000317-1450.1791321340023712264581911134611818526222522.73%251252.00%08917052.35%10421049.52%6615243.42%23888276147332173
_Vs Division21100011015-41140011012-11060000003-351.25012300237155458191116920193911100.00%20100.00%08917052.35%10421049.52%6615243.42%23888276147332173

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
145L713213422634611818526200
All Games
GPWLOTWOTL SOWSOLGFGA
1411101101339
Home Games
GPWLOTWOTL SOWSOLGFGA
81501101022
Visitor Games
GPWLOTWOTL SOWSOLGFGA
6060000317
Last 10 Games
WLOTWOTL SOWSOL
280000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
22522.73%251252.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
458191112371
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8917052.35%10421049.52%6615243.42%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
23888276147332173


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
2 - 2022-10-129Utica Comets2Cleveland Monsters1BLXBoxScore
7 - 2022-10-1738Rochester Americans4Cleveland Monsters2BLBoxScore
9 - 2022-10-1950Cleveland Monsters0Utica Comets3ALBoxScore
11 - 2022-10-2159Cleveland Monsters0Abbotsford Canucks1ALBoxScore
13 - 2022-10-2375Cleveland Monsters1Toronto Marlies5ALBoxScore
16 - 2022-10-2689Syracuse Crunch1Cleveland Monsters2BWXXBoxScore
19 - 2022-10-29102Toronto Marlies1Cleveland Monsters2BWBoxScore
21 - 2022-10-31110Cleveland Monsters0Belleville Senators3ALBoxScore
27 - 2022-11-06142Laval Rocket2Cleveland Monsters0BLBoxScore
31 - 2022-11-10166Belleville Senators3Cleveland Monsters0BLBoxScore
33 - 2022-11-12176Cleveland Monsters1Laval Rocket3ALBoxScore
36 - 2022-11-15197Abbotsford Canucks4Cleveland Monsters2BLBoxScore
37 - 2022-11-16199Cleveland Monsters1Syracuse Crunch2ALBoxScore
42 - 2022-11-21227Springfield Thunderbirds5Cleveland Monsters1BLBoxScore
44 - 2022-11-23238Cleveland Monsters-Rochester Americans-
46 - 2022-11-25249Cleveland Monsters-Laval Rocket-
48 - 2022-11-27257Cleveland Monsters-Bridgeport Islanders-
51 - 2022-11-30276Providence Bruins-Cleveland Monsters-
53 - 2022-12-02285Cleveland Monsters-Providence Bruins-
55 - 2022-12-04293Cleveland Monsters-Charlotte Checkers-
57 - 2022-12-06307Cleveland Monsters-Rochester Americans-
59 - 2022-12-08318Calgary Wranglers-Cleveland Monsters-
62 - 2022-12-11332Cleveland Monsters-Henderson Silver Knights-
65 - 2022-12-14347Lehigh Valley Phantoms-Cleveland Monsters-
70 - 2022-12-19375Hershey Bears-Cleveland Monsters-
75 - 2022-12-24403Chicago Wolves-Cleveland Monsters-
80 - 2022-12-29433Laval Rocket-Cleveland Monsters-
83 - 2023-01-01449Cleveland Monsters-Iowa Wild-
85 - 2023-01-03460Cleveland Monsters-Springfield Thunderbirds-
87 - 2023-01-05468Syracuse Crunch-Cleveland Monsters-
91 - 2023-01-09491Cleveland Monsters-Rockford IceHogs-
93 - 2023-01-11498Cleveland Monsters-Abbotsford Canucks-
94 - 2023-01-12504Manitoba Moose-Cleveland Monsters-
98 - 2023-01-16524Cleveland Monsters-Ontario Reign-
100 - 2023-01-18535Cleveland Monsters-Colorado Eagles-
101 - 2023-01-19539Coachella Valley Firebirds-Cleveland Monsters-
106 - 2023-01-24566Cleveland Monsters-Syracuse Crunch-
107 - 2023-01-25571Abbotsford Canucks-Cleveland Monsters-
111 - 2023-01-29597Henderson Silver Knights-Cleveland Monsters-
114 - 2023-02-01609Cleveland Monsters-Hershey Bears-
117 - 2023-02-04629Milwaukee Admirals-Cleveland Monsters-
122 - 2023-02-09657Wilkes-Barre Scranton Penguins-Cleveland Monsters-
126 - 2023-02-13679Cleveland Monsters-Coachella Valley Firebirds-
129 - 2023-02-16690Utica Comets-Cleveland Monsters-
131 - 2023-02-18703Cleveland Monsters-Grand Rapids Griffins-
135 - 2023-02-22722Belleville Senators-Cleveland Monsters-
138 - 2023-02-25739Cleveland Monsters-Texas Stars-
140 - 2023-02-27753Hartford Wolf Pack-Cleveland Monsters-
143 - 2023-03-02767Cleveland Monsters-Manitoba Moose-
146 - 2023-03-05782Cleveland Monsters-Lehigh Valley Phantoms-
147 - 2023-03-06790Charlotte Checkers-Cleveland Monsters-
153 - 2023-03-12819Iowa Wild-Cleveland Monsters-
156 - 2023-03-15831Cleveland Monsters-Wilkes-Barre Scranton Penguins-
159 - 2023-03-18848Rochester Americans-Cleveland Monsters-
162 - 2023-03-21871Cleveland Monsters-Belleville Senators-
164 - 2023-03-23882Bridgeport Islanders-Cleveland Monsters-
166 - 2023-03-25893Cleveland Monsters-Utica Comets-
168 - 2023-03-27912Cleveland Monsters-San Jose Barracuda-
169 - 2023-03-28918Grand Rapids Griffins-Cleveland Monsters-
173 - 2023-04-01940Cleveland Monsters-San Diego Gulls-
176 - 2023-04-04953Rockford IceHogs-Cleveland Monsters-
180 - 2023-04-08975Texas Stars-Cleveland Monsters-
182 - 2023-04-10981Cleveland Monsters-Milwaukee Admirals-
186 - 2023-04-141007Bakersfield Condors-Cleveland Monsters-
190 - 2023-04-181033Cleveland Monsters-Toronto Marlies-
192 - 2023-04-201042Ontario Reign-Cleveland Monsters-
195 - 2023-04-231064Cleveland Monsters-Chicago Wolves-
197 - 2023-04-251074Colorado Eagles-Cleveland Monsters-
202 - 2023-04-301101San Diego Gulls-Cleveland Monsters-
206 - 2023-05-041119Cleveland Monsters-Hartford Wolf Pack-
Trade Deadline --- Trades can’t be done after this day is simulated!
209 - 2023-05-071132Toronto Marlies-Cleveland Monsters-
215 - 2023-05-131160Tucson Roadrunners-Cleveland Monsters-
216 - 2023-05-141165Cleveland Monsters-Bakersfield Condors-
219 - 2023-05-171185Cleveland Monsters-Tucson Roadrunners-
222 - 2023-05-201195San Jose Barracuda-Cleveland Monsters-
225 - 2023-05-231210Cleveland Monsters-Calgary Wranglers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5020
Attendance12,1977,589
Attendance PCT76.23%94.86%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
30 2473 - 82.44% 95,204$761,630$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
489,965$ 2,132,667$ 2,132,667$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 397,439$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,856,112$ 185 11,598$ 2,145,630$




Cleveland Monsters 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 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