Login

Cleveland Monsters
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Alexandre Fyfe | Morale : 50 | Team Overall : N/A
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Team Info

General ManagerAlexandre Fyfe
DivisionCENTRAL
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team13
Farm Team20
Contract Limit33 / 250
Prospects29


Team History

This Season0-0
History24-40-7 (0.338%)
Playoff Appearances2
Playoff Record (W-L)16-9
Stanley Cup1


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
SP
Age
Contract
Salary
1Danick MartelX100.00403540583580904020404040306971114400292950,000$
2Michael PezzettaXX100.00937870658173836358625961646667484500264800,000$
3Alexander Holtz (R)X100.00643793707382816759616864736265875000221925,000$
4Dylan Holloway (R)XXX100.00764281667981826460616762686365834300231925,000$
5Vasily Podkolzin (R)XX100.00763889667586846463606261626365855000232925,000$
6Eetu Liukas (R)X100.00754177568475685552545457536264495200222867,500$
7Matthew Knies (R)XX100.00785482738783756950706765686267714900212925,000$
8Alexander PetrovicX100.00817177609178865930585761487374475400322900,000$
9Andreas EnglundX100.00817369638679876130655867496870625000281700,000$
10Jordan SpenceX100.00664189676883856530735963506365623800231750,000$
Scratches
TEAM AVERAGE100.0073517764768082614560596057656761480
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
SP
Age
Contract
Salary
1Dennis Hildeby (R)100.0058957491596262626251706369585800231850,000$
2Jet Greaves (R)100.0069998571706564646553766369584500232775,000$
Scratches
1Cale Morris100.0059956775605252525344646881365000281750,000$
TEAM AVERAGE100.006296757963605959604970657351510
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 Name
POS
GP
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
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 Name
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3


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 Name
POS
Age
Birthday
Country
Rookie
Weight
Height
No Trade
Available For Trade
Acquired By
Last Trade Date
Force Waivers
Waiver Possible
Contract
Contract Signature Date
Force UFA
Emergency Recall
Type
Current Salary
Salary Remaining
Salary Cap
Salary Cap Remaining
Exclude from Salary Cap
Salary Year 2
Salary Year 3
Salary Year 4
Salary Year 5
Salary Year 6
Salary Year 7
Salary Year 8
Salary Year 9
Salary Year 10
Salary Cap Year 2
Salary Cap Year 3
Salary Cap Year 4
Salary Cap Year 5
Salary Cap Year 6
Salary Cap Year 7
Salary Cap Year 8
Salary Cap Year 9
Salary Cap Year 10
No Trade Year 2
No Trade Year 3
No Trade Year 4
No Trade Year 5
No Trade Year 6
No Trade Year 7
No Trade Year 8
No Trade Year 9
No Trade Year 10
Link
Alexander HoltzCleveland Monsters (CBJ)RW222002-01-23SWEYes195 Lbs6 ft0NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm925,000$198,214$0$0$No---------------------------Link
Alexander PetrovicCleveland Monsters (CBJ)D321992-03-03CANNo208 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm900,000$192,857$0$0$No900,000$--------600,000$--------No--------Link
Andreas EnglundCleveland Monsters (CBJ)D281996-01-21SWENo200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$0$0$No---------------------------Link
Cale MorrisCleveland Monsters (CBJ)G281996-05-22USANo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$160,714$0$0$No---------------------------Link
Danick MartelCleveland Monsters (CBJ)LW291994-12-12CANNo184 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm950,000$203,571$0$0$No950,000$--------600,000$--------No--------Link
Dennis HildebyCleveland Monsters (CBJ)G232001-08-19SWEYes209 Lbs6 ft5NoNoTrade2024-09-14NoNo12024-08-20FalseFalsePro & Farm850,000$182,143$0$0$No---------------------------Link
Dylan HollowayCleveland Monsters (CBJ)C/LW/RW232001-09-23CANYes206 Lbs6 ft1NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm925,000$198,214$0$0$No---------------------------Link
Eetu LiukasCleveland Monsters (CBJ)LW222002-09-25FINYes205 Lbs6 ft3NoNoTrade2025-02-17NoNo22024-08-20FalseFalsePro & Farm867,500$185,893$0$0$No867,500$--------600,000$--------No--------Link
Jet GreavesCleveland Monsters (CBJ)G232001-03-30CANYes184 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-27FalseFalsePro & Farm775,000$166,071$0$0$No775,000$--------600,000$--------No--------Link
Jordan SpenceCleveland Monsters (CBJ)D232001-02-24CANNo180 Lbs5 ft11NoNoTrade2024-02-19NoNo1FalseFalsePro & Farm750,000$160,714$0$0$No---------------------------Link
Matthew KniesCleveland Monsters (CBJ)LW/RW212002-10-17USAYes217 Lbs6 ft3NoNoTrade2024-12-23NoNo22024-08-20FalseFalsePro & Farm925,000$198,214$0$0$No925,000$--------600,000$--------No--------Link
Michael PezzettaCleveland Monsters (CBJ)C/LW261998-03-13CANNo217 Lbs6 ft1NoNoN/ANoNo42024-05-19FalseFalsePro & Farm800,000$171,429$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Link
Vasily PodkolzinCleveland Monsters (CBJ)LW/RW232001-06-24RUSYes190 Lbs6 ft1NoNoN/ANoNo22024-08-21FalseFalsePro & Farm925,000$198,214$0$0$No925,000$--------600,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1324.85199 Lbs6 ft21.69849,423$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
138122
230122
322122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
138122
230122
322122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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
Overall
Home
Visitor
#
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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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
Day
Game
Visitor Team
Score
Home Team
Score
ST
OT
SO
RI
Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
36 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,104,250$ 810,000$ 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$ 3 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
172253257-717256911618313.66%154154821.50639510000310%10.7415
2382224464524566116413.41%469218.23112811285071.78%21.3311
36381826-547247536612.12%6891314.4900000000200%00.5779
46549403194311.63%014023.36213800012078.51%11.2801
53314121451618.75%06020.05000000001061.90%11.3300

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
125101230.9251.99151002506700100.5006

Cleveland Monsters Career Team Stats

Overall
Home
Visitor
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
Regular Season
2172184002345152217-653612180102382104-22366220132270113-43561522824340252514312193564760264868228567735115831171613.68%1442284.72%2685161842.34%664181236.64%373100137.26%154011112033454801379
Total Regular Season72184002345152217-653612180102382104-22366220132270113-43561522824340252514312193564760264868228567735115831171613.68%1442284.72%2685161842.34%664181236.64%373100137.26%154011112033454801379
Playoff
202516900000433013138500000242041284000001910932437812108129184364123111105254771293375091061917.92%1451391.03%026857946.29%31772443.78%13130143.52%644456635181305154
Total Playoff2516900000433013138500000242041284000001910932437812108129184364123111105254771293375091061917.92%1451391.03%026857946.29%31772443.78%13130143.52%644456635181305154

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
1Phillip Di Giuseppe251672392856508119.75%549119.6664102000003254.84%00.9400
2Chad Ruhwedel25214163102330316.45%2857322.94268230000200%00.5600
3Jordan Spence25113142191719214.76%2661024.41088160000000%00.4600
4Austin Czarnik256511267445211.54%244917.984371400053165.22%00.4900
5Andreas Englund25371045857232412.50%1054321.74246160000100%00.3700

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
1Scott Wedgewood2516810.9371.141582083047700000