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Cleveland Monsters
GP: 12 | W: 5 | L: 7
GF: 27 | GA: 32 | PP%: 21.62% | PK%: 84.85%
GM : Mike Chontos | Morale : 52 | Team Overall : 56
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Game Center
Rogle BK
10-7-0, 20pts
2
FINAL
1 Cleveland Monsters
5-7-0, 10pts
Team Stats
L1StreakL2
5-4-0Home Record3-2-0
5-3-0Away Record2-5-0
5-4-1Last 10 Games4-6-0
3.29Goals Per Game2.25
2.94Goals Against Per Game2.67
25.49%Power Play Percentage21.62%
74.24%Penalty Kill Percentage84.85%
Cleveland Monsters
5-7-0, 10pts
1
FINAL
4 Rogle BK
10-7-0, 20pts
Team Stats
L2StreakL1
3-2-0Home Record5-4-0
2-5-0Away Record5-3-0
4-6-0Last 10 Games5-4-1
2.25Goals Per Game3.29
2.67Goals Against Per Game2.94
21.62%Power Play Percentage25.49%
84.85%Penalty Kill Percentage74.24%
Team Leaders
Morgan GeekieGoals
Morgan Geekie
6
Gabriel VilardiAssists
Gabriel Vilardi
7
Gabriel VilardiPoints
Gabriel Vilardi
10
Pierre-Olivier JosephPlus/Minus
Pierre-Olivier Joseph
3
Logan ThompsonWins
Logan Thompson
5
Logan ThompsonSave Percentage
Logan Thompson
0.929

Team Stats
Goals For
27
2.25 GFG
Shots For
271
22.58 Avg
Power Play Percentage
21.6%
8 GF
Offensive Zone Start
32.2%
Goals Against
32
2.67 GAA
Shots Against
448
37.33 Avg
Penalty Kill Percentage
84.8%%
5 GA
Defensive Zone Start
47.4%
Team Info

General ManagerMike Chontos
CoachMike Rupp
DivisionAdams
ConferenceWest
CaptainKaapo Kakko
Assistant #1Shane Wright
Assistant #2David Jiricek


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team38
Farm Team20
Contract Limit58 / 250
Prospects0


Team History

This Season5-7
History0-0-0


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
1Michael Rasmussen0X100.0076437288778997717152656155586899526702425750,000$
2Kaapo Kakko (R) (C)0X100.0050358986709260695561637055536699716602225750,000$
3Gabriel Vilardi (R)0X100.0050358685728690716147666055556499766502325750,000$
4Morgan Geekie (R)0X100.0055358884678494697257585855586699766502425750,000$
5Cole Perfetti (R)0XX100.0057359584556765725561586455506899226302125750,000$
6Thomas Bordeleau (R)0X100.0050359587526770726561507155506899316302125750,000$
7Drew O'Connor (R)0X100.0051359082697777695547615955586599666202525750,000$
8William Eklund (R)0XX100.0050358982536770605556506555486299766002025750,000$
9Paul Cotter (R)0XX100.00573572826667706255455856555560996559023251$
10Filip Hallander (R)0X100.0050359582625870575045505555536299715702225750,000$
11Nicholas Abruzzese (R)0X100.0050358985526770555545545555556199575702425750,000$
12Samuel Poulin (R)0X100.0057357577647069494945525448604899285502225750,000$
13Shane Wright (R) (A)0X100.0050505050505050505050505050505050194901925750,000$
14Fabian Lysell (R)0X100.0050505050505050505050505050505050194902025750,000$
15Pierre-Olivier Joseph (R)0X100.0050358182596770994040507540557299406602325750,000$
16J.J. Moser (R)0X100.0055358582549084694061636540536536756602325750,000$
17Nick Perbix (R)0X100.005040807060707050405050504050501775602425750,000$
18David Jiricek (R) (A)0X100.0050505050505050505050505050505050104901925750,000$
19Anttoni Honka (R)0X100.0050505050505050505050505050505050214902225750,000$
20Topias Vilen (R)0X100.005050505050505050505050505050501194902025750,000$
Scratches
1Isaac Howard (R)0X100.0050505050505050505050505050505050204901925750,000$
2Isak Rosen (R)0XXX100.0050505050505050505050505050505050204902025750,000$
3Jani Nyman (R)0X100.0050505050505050505050505050505050204901825750,000$
4Jordan Dumais (R)0X100.0050505050505050505050505050505050194901925750,000$
5Juuso Parssinen (R)0XX100.0050505050505050505050505050505050454902225750,000$
6Matej Blumel (R)0XX100.005050505050505050505050505050501194902325750,000$
7Jonathan Gruden (R)0X100.0050505050505050505050505050505050384902325750,000$
8Niko Huuhtanen (R)0X100.0050505050505050505050505050505050274901925750,000$
9Pavol Regenda (R)0XX100.0050505050505050505050505050505050264902325750,000$
10Ville Koivunen (R)0XXX100.0050505050505050505050505050505050204902025750,000$
11Nick Blankenburg (R)0X100.0059357984476770784048577440607099746602525750,000$
12Ville Heinola (R)0X100.0050357282516770784061506840536499616302225750,000$
13Christian Kyrou (R)0X100.0050505050505050505050505050505050204901925750,000$
14Olen Zellweger (R)0X100.0050505050505050505050505050505050384901925750,000$
15Ryan Ufko (R)0X100.0050505050505050505050505050505050194902025750,000$
TEAM AVERAGE100.00524367665561625951515356505257664155
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
1Logan Thompson (R)0100.008770719690838383839062637199788102625750,000$
2Matt Villalta (R)0100.007575758187746868676947737099787202425750,000$
Scratches
1Topias Leinonen (R)0100.005050505050505050505050505050244901925750,000$
TEAM AVERAGE100.0071656576766967676770536264836067
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Rupp80808080808080USA43101,000,000$


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
1Gabriel VilardiCleveland Monsters (SJ )C123710-24016352731011.11%427022.550442250000120044.81%18354000.7400000110
2Morgan GeekieCleveland Monsters (SJ )C12639-52019212471025.00%1229824.853253240000301166.67%9913000.6000000011
3Michael RasmussenCleveland Monsters (SJ )C12538-1100283347152910.64%932527.090116310001160152.43%28837000.4900000101
4Kaapo KakkoCleveland Monsters (SJ )RW12538-280233545222911.11%533127.612028310001272141.38%87910000.4800000110
5William EklundCleveland Monsters (SJ )C/LW12246-1401824277157.41%1429924.960111311012141047.62%6355000.4000000001
6J.J. MoserCleveland Monsters (SJ )D122460401520264127.69%2738131.83202935011133100.00%0821000.3100000011
7Thomas BordeleauCleveland Monsters (SJ )C12246-300153424758.33%1023119.2900000000000036.36%1179000.5200000100
8Ville HeinolaCleveland Monsters (SJ )D7145-32157871214.29%1018526.57101112000115000.00%017000.5400000000
9Pierre-Olivier JosephCleveland Monsters (SJ )D1204438015331713100.00%3136030.07022335000032000.00%0614000.2200000000
10Filip HallanderCleveland Monsters (SJ )C12033-30012183370.00%316613.84011025000040027.91%4314000.3600000000
11Cole PerfettiCleveland Monsters (SJ )C/LW12011-4003151210.00%0847.06000020000100050.00%814000.2400000000
12Fabian LysellCleveland Monsters (SJ )RW12101-2401710111100.00%01099.110000200000000.00%104000.1800000000
13Nick PerbixCleveland Monsters (SJ )D12011-940102013330.00%1430025.01000222000022000.00%0311000.0700000000
14Drew O'ConnorCleveland Monsters (SJ )LW5000000362020.00%0459.02000000000400100.00%121000.00%00000000
15Paul CotterCleveland Monsters (SJ )C/LW12000-120011000.00%0151.320000000001000.00%200000.00%00000000
16Nicholas AbruzzeseCleveland Monsters (SJ )C12000000000000.00%000.030000000000000.00%000000.00%00000000
17David JiricekCleveland Monsters (SJ )D12000-4607154010.00%516313.5900001000007000.00%003000.00%00000000
18Anttoni HonkaCleveland Monsters (SJ )D5000-120000000.00%3459.090000000005000.00%001000.00%00000000
19Samuel PoulinCleveland Monsters (SJ )RW12000-100021000.00%0181.550000000000000.00%000000.00%00000000
20Topias VilenCleveland Monsters (SJ )D12000-200131000.00%1574.820000000002000.00%000000.00%00000000
21Ville KoivunenCleveland Monsters (SJ )C/LW/RW7000000000000.00%020.340000000000000.00%000000.00%00000000
Team Total or Average228274168-41795209333271881379.96%148369316.20811193529311262435346.84%69660118000.3700000444
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
1Logan ThompsonCleveland Monsters (SJ )125700.9292.577480032448207100.00%0120221
Team Total or Average125700.9292.577480032448207100120221


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 Waiver Possible 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
Anttoni HonkaCleveland Monsters (SJ )D2210/5/2000 3:33:48 AMYes179 Lbs5 ft10NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Christian KyrouCleveland Monsters (SJ )D199/16/2003 2:42:27 AMYes183 Lbs5 ft10NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Cole PerfettiCleveland Monsters (SJ )C/LW211/1/2002Yes177 Lbs5 ft11NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NHL Link
David JiricekCleveland Monsters (SJ )D1911/28/2003 3:30:15 AMYes209 Lbs6 ft3NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Drew O'ConnorCleveland Monsters (SJ )LW256/9/1998Yes200 Lbs6 ft3NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link / NHL Link
Fabian LysellCleveland Monsters (SJ )RW201/19/2003 3:31:16 AMYes180 Lbs5 ft11NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Filip HallanderCleveland Monsters (SJ )C226/29/2000Yes190 Lbs6 ft1NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link
Gabriel VilardiCleveland Monsters (SJ )C238/16/1999Yes215 Lbs6 ft3NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link / NHL Link
Isaac HowardCleveland Monsters (SJ )LW193/30/2004 2:46:48 AMYes181 Lbs5 ft10NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Isak RosenCleveland Monsters (SJ )C/LW/RW203/15/2003 2:47:44 AMYes174 Lbs5 ft11NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
J.J. MoserCleveland Monsters (SJ )D236/6/2000 2:48:33 AMYes173 Lbs6 ft1NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link / NHL Link
Jani NymanCleveland Monsters (SJ )RW187/30/2004 2:49:37 AMYes216 Lbs6 ft3NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Jonathan GrudenCleveland Monsters (SJ )LW235/4/2000 11:02:23 AMYes170 Lbs5 ft10NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Jordan DumaisCleveland Monsters (SJ )RW194/15/2004 2:50:19 AMYes174 Lbs5 ft9NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Juuso ParssinenCleveland Monsters (SJ )C/LW222/1/2001 2:51:11 AMYes212 Lbs6 ft3NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NHL Link
Kaapo KakkoCleveland Monsters (SJ )RW222/13/2001Yes205 Lbs6 ft3NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link / NHL Link
Logan ThompsonCleveland Monsters (SJ )G262/25/1997Yes201 Lbs6 ft4NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link / NHL Link
Matej BlumelCleveland Monsters (SJ )LW/RW235/31/2000 2:52:54 AMYes198 Lbs6 ft0NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Matt VillaltaCleveland Monsters (SJ )G246/3/1999Yes190 Lbs6 ft3NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link
Michael RasmussenCleveland Monsters (SJ )C244/17/1999No210 Lbs6 ft6NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link / NHL Link
Morgan GeekieCleveland Monsters (SJ )C247/20/1998Yes192 Lbs6 ft3NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link / NHL Link
Nicholas AbruzzeseCleveland Monsters (SJ )C246/4/1999Yes174 Lbs5 ft10NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Nick BlankenburgCleveland Monsters (SJ )D255/12/1998Yes175 Lbs5 ft9NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$NHL Link
Nick PerbixCleveland Monsters (SJ )D246/15/1998Yes191 Lbs6 ft1NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link / NHL Link
Niko HuuhtanenCleveland Monsters (SJ )RW196/26/2003 3:21:57 AMYes209 Lbs6 ft2NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Olen ZellwegerCleveland Monsters (SJ )D199/10/2003 3:22:30 AMYes174 Lbs5 ft10NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Paul CotterCleveland Monsters (SJ )C/LW2311/16/1999Yes206 Lbs6 ft1NoNoNoNo25Pro & Farm1$0$0$No1$1$1$1$1$1$1$1$1$Link / NHL Link
Pavol RegendaCleveland Monsters (SJ )LW/RW2312/7/1999 3:23:07 AMYes218 Lbs6 ft3NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Pierre-Olivier JosephCleveland Monsters (SJ )D237/1/1999Yes185 Lbs6 ft2NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link / NHL Link
Ryan UfkoCleveland Monsters (SJ )D205/7/2003 3:23:39 AMYes170 Lbs5 ft11NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Samuel PoulinCleveland Monsters (SJ )RW222/25/2001Yes208 Lbs6 ft1NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link
Shane WrightCleveland Monsters (SJ )C191/5/2004 3:28:48 AMYes198 Lbs6 ft0NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Thomas BordeleauCleveland Monsters (SJ )C211/3/2002Yes175 Lbs5 ft10NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link
Topias LeinonenCleveland Monsters (SJ )G191/25/2004 3:24:18 AMYes234 Lbs6 ft5NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Topias VilenCleveland Monsters (SJ )D204/1/2003 3:25:15 AMYes194 Lbs5 ft11NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
Ville HeinolaCleveland Monsters (SJ )D222/3/2001Yes178 Lbs5 ft11NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link
Ville KoivunenCleveland Monsters (SJ )C/LW/RW206/13/2003 3:26:03 AMYes172 Lbs6 ft0NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$
William EklundCleveland Monsters (SJ )C/LW2010/12/2002Yes176 Lbs5 ft10NoNoNoNo25Pro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$750,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3821.61191 Lbs6 ft125.00730,263$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1William EklundMichael RasmussenKaapo Kakko40122
2Thomas BordeleauGabriel VilardiMorgan Geekie30122
3William EklundMichael RasmussenKaapo Kakko20122
4Michael RasmussenKaapo KakkoMorgan Geekie10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1J.J. MoserPierre-Olivier Joseph40122
2David JiricekNick Perbix30122
3J.J. MoserPierre-Olivier Joseph20122
4J.J. MoserPierre-Olivier Joseph10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael RasmussenWilliam EklundKaapo Kakko60122
2Filip HallanderGabriel VilardiMorgan Geekie40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1J.J. MoserPierre-Olivier Joseph60122
2David JiricekNick Perbix40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kaapo KakkoMorgan Geekie60122
2Gabriel VilardiMichael Rasmussen40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1J.J. MoserPierre-Olivier Joseph60122
2Anttoni HonkaNick Perbix40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kaapo Kakko60122J.J. MoserPierre-Olivier Joseph60122
2Morgan Geekie40122Topias VilenNick Perbix40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Kaapo KakkoMorgan Geekie60122
2Gabriel VilardiMichael Rasmussen40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1J.J. MoserPierre-Olivier Joseph60122
2David JiricekNick Perbix40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michael RasmussenMorgan GeekieKaapo KakkoJ.J. MoserPierre-Olivier Joseph
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael RasmussenMorgan GeekieKaapo KakkoJ.J. MoserPierre-Olivier Joseph
Extra Forwards
Normal PowerPlayPenalty Kill
Filip Hallander, Kaapo Kakko, William EklundFilip Hallander, Morgan GeekieWilliam Eklund
Extra Defensemen
Normal PowerPlayPenalty Kill
J.J. Moser, Nick Perbix, Pierre-Olivier JosephJ.J. MoserJ.J. Moser, Pierre-Olivier Joseph
Penalty Shots
Kaapo Kakko, Morgan Geekie, Gabriel Vilardi, Michael Rasmussen, William Eklund
Goalie
#1 : Logan Thompson, #2 : Matt Villalta
Custom OT Lines Forwards
Kaapo Kakko, Morgan Geekie, Gabriel Vilardi, Paul Cotter, Michael Rasmussen, Cole Perfetti, Cole Perfetti, William Eklund, Thomas Bordeleau, Filip Hallander, Nicholas Abruzzese
Custom OT Lines Defensemen
J.J. Moser, David Jiricek, Topias Vilen, Nick Perbix, Pierre-Olivier Joseph


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
1Rogle BK51400000915-62110000044030300000511-620.2009152400312102114729794817256228116318.75%11281.82%010522446.88%14933045.15%7214250.70%21185285120254139
2San Diego Spartans743000001817132100000862422000001011-180.571182644003121021577297948276925712821523.81%22386.36%110522446.88%14933045.15%7214250.70%21185285120254139
Total1257000002732-55320000012102725000001522-7100.4172741680031210227172979484481487920937821.62%33584.85%110522446.88%14933045.15%7214250.70%21185285120254139
_Since Last GM Reset1257000002732-55320000012102725000001522-7100.4172741680031210227172979484481487920937821.62%33584.85%110522446.88%14933045.15%7214250.70%21185285120254139
_Vs Conference1257000002732-55320000012102725000001522-7100.4172741680031210227172979484481487920937821.62%33584.85%110522446.88%14933045.15%7214250.70%21185285120254139

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1210L22741682714481487920900
All Games
GPWLOTWOTL SOWSOLGFGA
125700002732
Home Games
GPWLOTWOTL SOWSOLGFGA
53200001210
Visitor Games
GPWLOTWOTL SOWSOLGFGA
72500001522
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
37821.62%33584.85%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7297948312102
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
10522446.88%14933045.15%7214250.70%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
21185285120254139


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
1 - 2023-01-164Cleveland Monsters3San Diego Spartans2AWXBoxScore
2 - 2023-01-178Cleveland Monsters1San Diego Spartans3ALBoxScore
3 - 2023-01-1812San Diego Spartans3Cleveland Monsters4BWXBoxScore
4 - 2023-01-1916San Diego Spartans2Cleveland Monsters1BLBoxScore
5 - 2023-01-2020Cleveland Monsters4San Diego Spartans5ALBoxScore
6 - 2023-01-2124San Diego Spartans1Cleveland Monsters3BWBoxScore
7 - 2023-01-2228Cleveland Monsters2San Diego Spartans1AWBoxScore
8 - 2023-01-2330Cleveland Monsters2Rogle BK3ALBoxScore
9 - 2023-01-2432Cleveland Monsters2Rogle BK4ALBoxScore
10 - 2023-01-2534Rogle BK2Cleveland Monsters3BWBoxScore
11 - 2023-01-2636Rogle BK2Cleveland Monsters1BLBoxScore
12 - 2023-01-2738Cleveland Monsters1Rogle BK4ALBoxScore



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
36 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,775,000$ 3,937,917$ 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$ 0 0$ 0$




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