Login

Cleveland Monsters
GP: 70 | W: 50 | L: 15 | OTL: 5 | P: 105
GF: 235 | GA: 152 | PP%: 20.92% | PK%: 84.26%
GM : David Kosarek | Morale : 50 | Team Overall : 58
Next Games #1133 vs Tucson Roadrunners
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Cleveland Monsters
50-15-5, 105pts
2
FINAL
3 Colorado Eagles
42-24-5, 89pts
Team Stats
W1StreakW2
28-6-2Home Record22-8-4
22-9-3Home Record20-16-1
6-2-2Last 10 Games4-6-0
3.36Goals Per Game3.23
2.17Goals Against Per Game2.69
20.92%Power Play Percentage24.49%
84.26%Penalty Kill Percentage80.95%
Cleveland Monsters
50-15-5, 105pts
2
FINAL
1 Henderson Silver Knights
41-27-2, 84pts
Team Stats
W1StreakL1
28-6-2Home Record22-13-1
22-9-3Home Record19-14-1
6-2-2Last 10 Games4-6-0
3.36Goals Per Game3.21
2.17Goals Against Per Game3.04
20.92%Power Play Percentage23.20%
84.26%Penalty Kill Percentage80.56%
Cleveland Monsters
50-15-5, 105pts
Day 139
Tucson Roadrunners
48-19-3, 99pts
Team Stats
W1StreakW5
28-6-2Home Record25-8-1
22-9-3Away Record23-11-2
6-2-2Last 10 Games9-1-0
3.36Goals Per Game3.34
2.17Goals Against Per Game3.34
20.92%Power Play Percentage21.14%
84.26%Penalty Kill Percentage80.10%
Cleveland Monsters
50-15-5, 105pts
Day 141
W-B/Scranton Penguins
18-43-9, 45pts
Team Stats
W1StreakL1
28-6-2Home Record12-18-5
22-9-3Away Record6-25-4
6-2-2Last 10 Games3-6-1
3.36Goals Per Game2.86
2.17Goals Against Per Game2.86
20.92%Power Play Percentage13.64%
84.26%Penalty Kill Percentage66.98%
W-B/Scranton Penguins
18-43-9, 45pts
Day 143
Cleveland Monsters
50-15-5, 105pts
Team Stats
L1StreakW1
12-18-5Home Record28-6-2
6-25-4Away Record22-9-3
3-6-1Last 10 Games6-2-2
2.86Goals Per Game3.36
3.87Goals Against Per Game3.36
13.64%Power Play Percentage20.92%
66.98%Penalty Kill Percentage84.26%
Team Leaders
Colin WhiteGoals
Colin White
32
Josh MahuraAssists
Josh Mahura
45
Peyton KrebsPoints
Peyton Krebs
64
Jake ChristiansenPlus/Minus
Jake Christiansen
45
Michael HutchinsonWins
Michael Hutchinson
42
Save Percentage
Remi Poirier
0.949

Team Stats
Goals For
235
3.36 GFG
Shots For
2092
29.89 Avg
Power Play Percentage
20.9%
41 GF
Offensive Zone Start
43.4%
Goals Against
152
2.17 GAA
Shots Against
1582
22.60 Avg
Penalty Kill Percentage
84.3%%
34 GA
Defensive Zone Start
36.8%
Team Info

General ManagerDavid Kosarek
DivisionAtlantic Division
ConferenceEastern Conference
Captain
Assistant #1Colin White
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team25
Farm Team19
Contract Limit44 / 80
Prospects46


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
1Peyton KrebsXX100.007450697671769068706560676256480506402221,000,000$
2Colin White (A)XX100.007049727274698765645760666664560506202611,100,000$
3Brad MaloneXX100.007642696980656259755150655780720506003421,200,000$
4Jansen HarkinsXX100.00663778727671656452555866606455050600261800,000$
5Josh Dunne (R)X100.00734871698269616172515064586253050590242900,000$
6Hugh McGing (R)XX100.00644175686369676360616062596253050590251400,000$
7Hunter McKown (R)X100.00663972657773625577555062515446050570213800,000$
8Connor McMichaelXX100.006235806970676164525150636456460505702221,000,000$
9Mavrik BourqueX100.005435846468435955445455556154460505402110100,000$
10Tim GettingerXX100.00553977558745575238515259566252050540251500,000$
11Tyler TullioXX100.005435846269405649354752555954450505202110100,000$
12Justin SourdifXX100.00573579626740554839494755575445050510219100,000$
13Marcus Bjork (R)X100.007538717082827060306662725764580506502511,200,000$
14Josh MahuraX100.007441697271749457306059695662530506402511,200,000$
15Billy SweezeyX100.00805072647780614930545569506657050620271900,000$
16Dysin MayoX100.00763975677470635030515572506657050610271900,000$
17Jake Christiansen (R)X100.00673876707376655830595566556051050610241700,000$
18Eddie WittchowX100.00614567538753554330434461507263050550307100,000$
Scratches
1Ryan TverbergXX100.005335865772404540304040555054440504802110100,000$
2Kaedan Korczak (R)X65.38764174657981625230555564525646050600222700,000$
3Hunter SkinnerX100.00583876557450544430454160495645050530228100,000$
TEAM AVERAGE98.3366407566756364554553536356615205058
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
1Remi Poirier100.00595653746058606364595856480505602110100,000$
2Jet Greaves (R)100.0058696665616156576060575647050550222700,000$
Scratches
1Michael Hutchinson100.00636158786665616264635978710506003311,200,000$
2Garrett Metcalf100.0047464373474545474650556659050500273100,000$
TEAM AVERAGE100.005758557359575657595857645605055
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
1Wade AllisonBlue JacketsRW6730376737615180822766421510.87%15143421.4276134315001181475145.54%10100000.93000016103
2Peyton KrebsCleveland Monsters (CBJ)C/LW68293564315601491562487118911.69%9145821.45691547156112101597258.58%118300110.8825000966
3Colin WhiteCleveland Monsters (CBJ)C/RW703231633622098912297317313.97%17146320.90831124160000815310460.22%18100000.8605000852
4Jansen HarkinsCleveland Monsters (CBJ)C/LW702439633912022772357316510.21%8131318.763912311590003225151.02%9800020.9600000432
5Josh MahuraCleveland Monsters (CBJ)D70134558406201296499396613.13%75160122.8811617411640110155400%000000.7200000442
6Marcus BjorkCleveland Monsters (CBJ)D629344318280122769937649.09%69141422.8241216421451122161120%000000.6100000135
7Jake ChristiansenCleveland Monsters (CBJ)D708344245300755078285810.26%61151921.71538351430001161200%000000.5500000162
8Josh DunneCleveland Monsters (CBJ)C5213233630120528188356314.77%1184016.16011213000023159.48%95500000.8600000124
9Hugh McGingCleveland Monsters (CBJ)C/LW70141933171003468100336914.00%10103014.7306681040002661049.28%41800000.6414000014
10Dysin MayoCleveland Monsters (CBJ)D709223121300976059203815.25%69131018.7232514790000127200%000000.4700000203
11Connor McMichaelCleveland Monsters (CBJ)C/LW7010192941005373149481126.71%11107815.401123340000101042.19%6400000.5401000123
12Hunter McKownCleveland Monsters (CBJ)C70101525922067115100326510.00%9106015.151457970000182158.88%108700000.4700000020
13Kaedan KorczakCleveland Monsters (CBJ)D693212412420113424015347.50%64126118.28011769000152110%000000.3800000203
14Michael AmadioBlue JacketsC/LW/RW21613199100213459134110.17%242720.361349360001520055.53%51500000.8900000111
15Brad MaloneCleveland Monsters (CBJ)C/LW6058131228050435810328.62%54757.921121110000272161.36%33900000.5500000111
16Brandon GignacBlue JacketsC/LW43661248025144593513.33%245410.580005290000411045.45%6600000.5311000011
17Tim GettingerCleveland Monsters (CBJ)LW/RW536612720161337122316.22%362311.760000110000250034.78%2300000.3900000022
18Billy SweezeyCleveland Monsters (CBJ)D6419108603313203125.00%164466.980111152000087000%000000.4500000011
19Mackie SamoskevichBlue JacketsC/RW1927972010293211186.25%129315.470000130001161053.14%27100000.6100000100
20Eddie WittchowCleveland Monsters (CBJ)D422356100218146814.29%1760514.4100005000010100%000000.1700000000
21Hunter SkinnerCleveland Monsters (CBJ)D3213462010413327.69%123019.430000000000000%000000.2700000001
22Justin SourdifCleveland Monsters (CBJ)C/RW10011-100321210%0707.0300001000000075.00%400000.2800000000
23Tyler TullioCleveland Monsters (CBJ)C/RW21101-3003383512.50%01215.800000000000000%300000.1600000000
24Mavrik BourqueCleveland Monsters (CBJ)C190001006962120%31065.59000030000110037.76%980000000000000
Team Total or Average12622344306643954655138912072093642150011.18%4892071516.4141781193301645246371514491456.51%540600130.64416001425046
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
1Michael HutchinsonCleveland Monsters (CBJ)61421540.9012.2136680613513660020.60010611312
2Remi PoirierCleveland Monsters (CBJ)98010.9491.2055002112140100.6005950201
Team Total or Average70501550.9082.084218081461580012157051513


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date 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 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
Billy SweezeyCleveland Monsters (CBJ)D2707.07.1996No206 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$129,375$0$0$No------------------
Brad MaloneCleveland Monsters (CBJ)C/LW3407.07.1989No217 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,200,000$172,500$0$0$No1,200,000$--------No--------NHL Link
Colin WhiteCleveland Monsters (CBJ)C/RW2607.07.1997No194 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,100,000$158,125$0$0$No------------------NHL Link
Connor McMichaelCleveland Monsters (CBJ)C/LW2207.07.2001No180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$143,750$0$0$No1,000,000$--------No--------NHL Link
Dysin MayoCleveland Monsters (CBJ)D2707.07.1996No183 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$129,375$0$0$No------------------NHL Link
Eddie WittchowCleveland Monsters (CBJ)D3007.07.1993No225 Lbs6 ft5NoNoN/ANoNo7Farm Only100,000$14,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$---NoNoNoNoNoNo---
Garrett MetcalfCleveland Monsters (CBJ)G2707.07.1996No185 Lbs6 ft2NoNoN/ANoNo3Farm Only100,000$14,375$0$0$No100,000$100,000$-------NoNo-------NHL Link
Hugh McGingCleveland Monsters (CBJ)C/LW2507.07.1998Yes176 Lbs5 ft8NoNoN/ANoNo126.12.2023Pro & Farm400,000$57,500$0$0$No------------------NHL Link
Hunter McKownCleveland Monsters (CBJ)C2107.07.2002Yes205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm800,000$115,000$0$0$No800,000$800,000$-------NoNo-------
Hunter SkinnerCleveland Monsters (CBJ)D2207.07.2001No183 Lbs6 ft2NoNoN/ANoNo8Farm Only100,000$14,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--NHL Link
Jake ChristiansenCleveland Monsters (CBJ)D2407.07.1999Yes193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$100,625$0$0$No------------------NHL Link
Jansen HarkinsCleveland Monsters (CBJ)C/LW2607.07.1997No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$115,000$0$0$No------------------NHL Link
Jet GreavesCleveland Monsters (CBJ)G2207.07.2001Yes184 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$100,625$0$0$No700,000$--------No--------
Josh DunneCleveland Monsters (CBJ)C2407.07.1999Yes211 Lbs6 ft4NoNoN/ANoNo2Pro & Farm900,000$129,375$0$0$No900,000$--------No--------NHL Link
Josh Mahura (1 Way Contract)Cleveland Monsters (CBJ)D2507.07.1998No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,200,000$172,500$0$0$No------------------NHL Link
Justin SourdifCleveland Monsters (CBJ)C/RW2107.07.2002No172 Lbs5 ft11NoNoN/ANoNo9Farm Only100,000$14,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-
Kaedan KorczakCleveland Monsters (CBJ)D2207.07.2001Yes202 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$100,625$0$0$No700,000$--------No--------NHL Link
Marcus Bjork (1 Way Contract)Cleveland Monsters (CBJ)D2507.07.1998Yes211 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,200,000$172,500$0$0$No------------------
Mavrik BourqueCleveland Monsters (CBJ)C2107.07.2002No185 Lbs5 ft10NoNoTrade18.03.2024NoNo1006.12.2023Farm Only100,000$14,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Michael HutchinsonCleveland Monsters (CBJ)G3307.07.1990No201 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,200,000$172,500$0$0$No------------------NHL Link
Peyton KrebsCleveland Monsters (CBJ)C/LW2207.07.2001No187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$143,750$0$0$No1,000,000$--------No--------NHL Link
Remi PoirierCleveland Monsters (CBJ)G2107.07.2002No201 Lbs6 ft2NoNoN/ANoNo10Farm Only100,000$14,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Ryan TverbergCleveland Monsters (CBJ)C/RW2107.07.2002No190 Lbs6 ft0NoNoN/ANoNo10Farm Only100,000$14,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Tim GettingerCleveland Monsters (CBJ)LW/RW2507.07.1998No220 Lbs6 ft6NoNoN/ANoNo1Pro & Farm500,000$71,875$0$0$No------------------NHL Link
Tyler TullioCleveland Monsters (CBJ)C/RW2107.07.2002No181 Lbs5 ft11NoNoN/ANoNo10Farm Only100,000$14,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2524.56195 Lbs6 ft13.68640,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Connor McMichaelPeyton KrebsColin White35122
2Jansen HarkinsJosh DunneHugh McGing35113
3Tim GettingerHunter McKownBrad Malone25131
4Justin SourdifMavrik BourqueTyler Tullio5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Billy SweezeyMarcus Bjork35122
2Jake ChristiansenJosh Mahura35122
3Dysin MayoEddie Wittchow20122
4Jake ChristiansenJosh Mahura10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Hugh McGingPeyton KrebsColin White50122
2Jansen HarkinsJosh DunneConnor McMichael50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus BjorkJosh Mahura54122
2Jake ChristiansenBilly Sweezey46122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Peyton KrebsConnor McMichael50122
2Colin WhiteJansen Harkins50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Billy SweezeyJosh Mahura55122
2Jake ChristiansenMarcus Bjork45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Peyton Krebs60122Billy SweezeyJosh Mahura55122
2Colin White40122Jake ChristiansenMarcus Bjork45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Peyton KrebsJansen Harkins60122
2Colin WhiteConnor McMichael40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus BjorkJosh Mahura51122
2Jake ChristiansenBilly Sweezey49122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Peyton KrebsColin WhiteJosh DunneMarcus BjorkJosh Mahura
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Peyton KrebsColin WhiteJosh DunneMarcus BjorkJosh Mahura
Extra Forwards
Normal PowerPlayPenalty Kill
Colin White, Jansen Harkins, Hugh McGingColin White, Jansen HarkinsColin White
Extra Defensemen
Normal PowerPlayPenalty Kill
Billy Sweezey, Jake Christiansen, Marcus BjorkBilly SweezeyDysin Mayo, Jake Christiansen
Penalty Shots
Colin White, Hugh McGing, Peyton Krebs, Josh Dunne, Jansen Harkins
Goalie
#1 : Remi Poirier, #2 : Jet Greaves


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 Canucks21001000743110000004221000100032141.00071017008581666577046926793358181632900.00%60100.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
2Bakersfield Condors210000015501000000123-11100000032130.750510150085816665170469267933532116393133.33%8275.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
3Belleville Senators32100000743220000006241010000012-140.667712190185816668170469267933752222438112.50%100100.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
4Bridgeport Islanders22000000624110000003121100000031241.0006121800858166651704692679334618843300.00%40100.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
5Calgary Wranglers22000000826110000002111100000061541.0008152300858166667704692679334014203822100.00%100100.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
6Charlotte Checkers2110000045-1110000003211010000013-220.500471100858166650704692679335571446600.00%7185.71%01319234556.25%1125198656.65%610107356.85%181312601489506926482
7Chicago Wolves2020000015-41010000003-31010000012-100.000123008581666637046926793360211639600.00%8187.50%01319234556.25%1125198656.65%610107356.85%181312601489506926482
8Coachella Valley Firebirds210000011275110000008261000000145-130.7501221330085816665570469267933531110363266.67%5180.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
9Colorado Eagles1000000123-1000000000001000000123-110.50024600858166629704692679331974216116.67%2150.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
10Grand Rapids Griffins31100010871110000002022010001067-140.6678132111858166679704692679338723246610330.00%12283.33%01319234556.25%1125198656.65%610107356.85%181312601489506926482
11Hartford Wolf Pack312000001214-220200000711-41100000053220.33312233510858166691704692679336922348011436.36%16568.75%01319234556.25%1125198656.65%610107356.85%181312601489506926482
12Henderson Silver Knights22000000523110000003121100000021141.00058130085816666770469267933311518435120.00%9188.89%01319234556.25%1125198656.65%610107356.85%181312601489506926482
13Hershey Bears320010001028110000002022100100082661.0001019290285816669470469267933512320607114.29%10190.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
14Iowa Wild21100000862110000004131010000045-120.500815230085816667170469267933431925503266.67%9277.78%01319234556.25%1125198656.65%610107356.85%181312601489506926482
15Laval Rocket33000000164121100000050522000000114761.0001629450185816668870469267933521818539444.44%8275.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
16Lehigh Valley Phantoms33000000835110000002112200000062461.00081523018581666727046926793361261473600.00%7271.43%01319234556.25%1125198656.65%610107356.85%181312601489506926482
17Manitoba Moose22000000826110000004131100000041341.000816240085816665670469267933361414343266.67%5180.00%11319234556.25%1125198656.65%610107356.85%181312601489506926482
18Milwaukee Admirals1010000012-11010000012-10000000000000.0001230085816662570469267933279617400.00%30100.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
19Ontario Reign2000010168-21000000156-11000010012-120.50061218008581666637046926793357138386116.67%4250.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
20Providence Bruins321000001192211000008711100000032140.6671119300085816669370469267933832826655120.00%12191.67%01319234556.25%1125198656.65%610107356.85%181312601489506926482
21Rochester Americans3300000016791100000032122000000135861.000162945008581666105704692679336723165811327.27%60100.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
22Rockford IceHogs22000000514110000003121100000020241.00059140185816665670469267933389638700.00%3166.67%11319234556.25%1125198656.65%610107356.85%181312601489506926482
23San Diego Gulls22000000936110000004131100000052341.00091827008581666597046926793336410416116.67%5180.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
24San Jose Barracuda21100000752110000004131010000034-120.500713200085816665570469267933462210353133.33%5180.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
25Springfield Thunderbirds21100000761110000006241010000014-320.5007121900858166668704692679334878344125.00%4250.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
26Syracuse Crunch22000000752220000007520000000000041.0007132000858166668704692679334594219222.22%2150.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
27Texas Stars22000000743110000004311100000031241.00071320008581666587046926793335118409222.22%4175.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
28Toronto Marlies330000001183220000008621100000032161.0001120310085816669570469267933671710557114.29%40100.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
29Tucson Roadrunners1010000024-21010000024-20000000000000.000246008581666367046926793325210144125.00%5260.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
30Utica Comets431000001569220000009182110000065160.750152843018581666131704692679337928329617211.76%140100.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
31W-B/Scranton Penguins2110000047-3110000004311010000004-420.5004711008581666587046926793340818414125.00%90100.00%01319234556.25%1125198656.65%610107356.85%181312601489506926482
Total704715021142351528336286000021257550341990211211077331050.750235430665288581666209270469267933158248946513891964120.92%2163484.26%21319234556.25%1125198656.65%610107356.85%181312601489506926482
_Since Last GM Reset704715021142351528336286000021257550341990211211077331050.750235430665288581666209270469267933158248946513891964120.92%2163484.26%21319234556.25%1125198656.65%610107356.85%181312601489506926482
_Vs Conference41291001010136884821174000006944252012601010674423620.7561362483842785816661219704692679339372932768391192319.33%1291687.60%01319234556.25%1125198656.65%610107356.85%181312601489506926482
_Vs Division2212601000804931126300000422418106301000382513260.5918014222213858166665970469267933531147134407651523.08%61788.52%01319234556.25%1125198656.65%610107356.85%181312601489506926482

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
70105W123543066520921582489465138928
All Games
GPWLOTWOTL SOWSOLGFGA
7047152114235152
Home Games
GPWLOTWOTL SOWSOLGFGA
36286000212575
Visitor Games
GPWLOTWOTL SOWSOLGFGA
34199211211077
Last 10 Games
WLOTWOTL SOWSOL
620002
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1964120.92%2163484.26%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
704692679338581666
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1319234556.25%1125198656.65%610107356.85%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
181312601489506926482


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
212Lehigh Valley Phantoms1Cleveland Monsters2BWBoxScore
320Hartford Wolf Pack4Cleveland Monsters2BLBoxScore
539Grand Rapids Griffins0Cleveland Monsters2BWBoxScore
967Calgary Wranglers1Cleveland Monsters2BWBoxScore
1076Cleveland Monsters4Iowa Wild5ALBoxScore
1292San Diego Gulls1Cleveland Monsters4BWBoxScore
14108Cleveland Monsters7Laval Rocket3AWBoxScore
15119Bridgeport Islanders1Cleveland Monsters3BWBoxScore
17137Cleveland Monsters3Texas Stars1AWBoxScore
19148Syracuse Crunch3Cleveland Monsters4BWBoxScore
21162Cleveland Monsters3Hershey Bears2AWXBoxScore
22173Cleveland Monsters1Charlotte Checkers3ALBoxScore
24190Texas Stars3Cleveland Monsters4BWBoxScore
26207Cleveland Monsters1Grand Rapids Griffins3ALBoxScore
28221Cleveland Monsters5Hartford Wolf Pack3AWBoxScore
29228Tucson Roadrunners4Cleveland Monsters2BLBoxScore
31243W-B/Scranton Penguins3Cleveland Monsters4BWBoxScore
33257Cleveland Monsters5Hershey Bears0AWBoxScore
34265Cleveland Monsters4Lehigh Valley Phantoms2AWBoxScore
36286Rockford IceHogs1Cleveland Monsters3BWBoxScore
38300Cleveland Monsters4Utica Comets2AWBoxScore
39307Cleveland Monsters1Chicago Wolves2ALBoxScore
41326Providence Bruins4Cleveland Monsters6BWBoxScore
43342Laval Rocket0Cleveland Monsters5BWBoxScore
45357Belleville Senators2Cleveland Monsters3BWBoxScore
47376Ontario Reign6Cleveland Monsters5BLXXBoxScore
48381Cleveland Monsters3Providence Bruins2AWBoxScore
50399Cleveland Monsters3Bridgeport Islanders1AWBoxScore
52417Springfield Thunderbirds2Cleveland Monsters6BWBoxScore
53425Charlotte Checkers2Cleveland Monsters3BWBoxScore
56448Cleveland Monsters3Toronto Marlies2AWBoxScore
58467Utica Comets1Cleveland Monsters5BWBoxScore
61491Cleveland Monsters5Rochester Americans2AWBoxScore
62498Hershey Bears0Cleveland Monsters2BWBoxScore
64516Toronto Marlies2Cleveland Monsters3BWBoxScore
66528Cleveland Monsters2Utica Comets3ALBoxScore
68549Toronto Marlies4Cleveland Monsters5BWBoxScore
70565Cleveland Monsters8Rochester Americans3AWBoxScore
72581Providence Bruins3Cleveland Monsters2BLBoxScore
73588Cleveland Monsters2Lehigh Valley Phantoms0AWBoxScore
75607Iowa Wild1Cleveland Monsters4BWBoxScore
79641Cleveland Monsters4Manitoba Moose1AWBoxScore
81655Coachella Valley Firebirds2Cleveland Monsters8BWBoxScore
84678Abbotsford Canucks2Cleveland Monsters4BWBoxScore
86696Utica Comets0Cleveland Monsters4BWBoxScore
90729Cleveland Monsters3Bakersfield Condors2AWBoxScore
92745Cleveland Monsters6Calgary Wranglers1AWBoxScore
93757Cleveland Monsters3Abbotsford Canucks2AWXBoxScore
95776Cleveland Monsters4Coachella Valley Firebirds5ALXXBoxScore
97790Cleveland Monsters1Springfield Thunderbirds4ALBoxScore
100813Syracuse Crunch2Cleveland Monsters3BWBoxScore
102826Cleveland Monsters1Belleville Senators2ALBoxScore
105861Cleveland Monsters3San Jose Barracuda4ALBoxScore
108882Cleveland Monsters1Ontario Reign2ALXBoxScore
109892Cleveland Monsters5San Diego Gulls2AWBoxScore
111906Rochester Americans2Cleveland Monsters3BWBoxScore
113918Hartford Wolf Pack7Cleveland Monsters5BLBoxScore
116945Chicago Wolves3Cleveland Monsters0BLBoxScore
118962Henderson Silver Knights1Cleveland Monsters3BWBoxScore
119973Cleveland Monsters2Rockford IceHogs0AWBoxScore
121988Cleveland Monsters0W-B/Scranton Penguins4ALBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
1231005Bakersfield Condors3Cleveland Monsters2BLXXBoxScore
1241012Milwaukee Admirals2Cleveland Monsters1BLBoxScore
1261029Belleville Senators0Cleveland Monsters3BWBoxScore
1281044Cleveland Monsters4Laval Rocket1AWBoxScore
1291052San Jose Barracuda1Cleveland Monsters4BWBoxScore
1321077Manitoba Moose1Cleveland Monsters4BWBoxScore
1341092Cleveland Monsters5Grand Rapids Griffins4AWXXBoxScore
1361109Cleveland Monsters2Colorado Eagles3ALXXBoxScore
1371118Cleveland Monsters2Henderson Silver Knights1AWBoxScore
1391133Cleveland Monsters-Tucson Roadrunners-
1411146Cleveland Monsters-W-B/Scranton Penguins-
1431164W-B/Scranton Penguins-Cleveland Monsters-
1451183Colorado Eagles-Cleveland Monsters-
1481208Bridgeport Islanders-Cleveland Monsters-
1491214Lehigh Valley Phantoms-Cleveland Monsters-
1511231Cleveland Monsters-Chicago Wolves-
1531247Cleveland Monsters-Syracuse Crunch-
1541257Cleveland Monsters-Charlotte Checkers-
1561274Cleveland Monsters-Milwaukee Admirals-
1591295Chicago Wolves-Cleveland Monsters-
1601303Cleveland Monsters-Hartford Wolf Pack-



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
5 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,320,792$ 1,360,000$ 1,330,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,500$ 1,320,792$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 23 8,500$ 195,500$




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