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Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Jean Levergneaux | Morale : 50 | Team Overall : 70

Team Leaders

Team Stats
Team Info

General ManagerJean Levergneaux
DivisionMetropolitan Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity5,000
Attendance
Season Tickets5,000


Roster Info

Pro Team17
Farm Team19
Contract Limit36 / 55
Prospects33


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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
1Zack Ostapchuk0X100.00907499739945736374786880476264050810212825,000$
2Andrew Poturalski0X100.00575375799169718073706870457173050790302760,000$
3Cole Reinhardt0X100.00856988669235665768716175436567050740243771,875$
4Nils Aman0XXX100.00724799679344665874716175436567050730242775,500$
5Nick Abruzzese0X100.00555075708083857171686050456668050710252813,750$
6Chase Stillman0X100.00716775608076786053686050456264050690212863,334$
7Nathan Legare0X100.00757075608081836052686050456465050690233750,000$
8Fredrik Karlstrom0X100.00524871597955676462656148436769050670261750,000$
9Jakub Rychlovsky (R)0X100.00524871577655675757655748436465050640222925,000$
10Calle Rosen0X100.00555075648073756330686065457173050700301876,875$
11Charles-Alexis Legault (R)0X100.00706575608074766030686055456264050700203925,000$
12Frederic Brunet0X100.00555075608081836030686060456264050690202860,000$
13Filip Roos0X100.00555175608080826030686050456668050680252813,750$
14Matthew Robertson0X100.00686475608071726030686050456466050680233750,000$
15Jesse Pulkkinen (R)0X100.00484466537051615330605344396163050590193925,000$
Scratches
TEAM AVERAGE100.0064577863836574625168615844656705070
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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
1Nikita Tolopilo0100.0079707075788080757870736573050770241950,000$
2Vyacheslav Peksa (R)0100.0053535353626155564953456369050550213925,000$
Scratches
TEAM AVERAGE100.006662626470716866646259647105066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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
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


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Andrew PoturalskiMonsters (CBJ)C301994-01-14USANo187 Lbs5 ft10NoNoFree AgentNoNo22025-09-27FalseFalsePro & Farm760,000$760,000$0$0$No760,000$--------760,000$--------No--------Link / NHL Link
Calle RosenMonsters (CBJ)D301994-02-02SWENo188 Lbs6 ft1NoNoN/ANoNo12025-09-27FalseFalsePro & Farm876,875$876,875$0$0$No---------------------------Link / NHL Link
Charles-Alexis LegaultMonsters (CBJ)D202003-09-05CANYes208 Lbs6 ft3NoNoProspectNoNo32025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Chase StillmanMonsters (CBJ)RW212003-03-19USANo185 Lbs6 ft1NoNoProspectNoNo22025-09-27FalseFalsePro & Farm863,334$863,334$0$0$No863,334$--------863,334$--------No--------Link / NHL Link
Cole ReinhardtMonsters (CBJ)LW242000-02-01CANNo207 Lbs6 ft1NoNoN/ANoNo32025-09-27FalseFalseFarm Only771,875$771,875$0$0$No771,875$771,875$-------771,875$771,875$-------NoNo-------Link / NHL Link
Filip RoosMonsters (CBJ)D251999-01-05SWENo200 Lbs6 ft4NoNoFree AgentNoNo22025-09-27FalseFalsePro & Farm813,750$813,750$0$0$No813,750$--------813,750$--------No--------Link / NHL Link
Frederic BrunetMonsters (CBJ)D202003-08-21CANNo196 Lbs6 ft3NoNoProspectNoNo22025-09-27FalseFalsePro & Farm860,000$860,000$0$0$No860,000$--------860,000$--------No--------Link / NHL Link
Fredrik KarlstromMonsters (CBJ)C261998-01-12SWENo195 Lbs6 ft3NoNoN/ANoNo12025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link / NHL Link
Jakub RychlovskyMonsters (CBJ)LW222001-08-07CZEYes200 Lbs5 ft11NoNoDraftNoNo22025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Jesse PulkkinenMonsters (CBJ)D192004-12-27FINYes215 Lbs6 ft6NoNoDraftNoNo32025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Matthew RobertsonMonsters (CBJ)D232001-03-09CANNo211 Lbs6 ft4NoNoN/ANoNo32025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link / NHL Link
Nathan LegareMonsters (CBJ)RW232001-01-11CANNo208 Lbs6 ft0NoNoN/ANoNo32025-09-27FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link / NHL Link
Nick AbruzzeseMonsters (CBJ)C251999-06-04USANo180 Lbs5 ft11NoNoFree AgentNoNo22025-09-27FalseFalsePro & Farm813,750$813,750$0$0$No813,750$--------813,750$--------No--------Link / NHL Link
Nikita TolopiloMonsters (CBJ)G242000-04-06BLRNo229 Lbs6 ft6NoNoProspectNoNo12025-09-27FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------Link / NHL Link
Nils AmanMonsters (CBJ)C/LW/RW242000-02-07SWENo179 Lbs6 ft2NoNoFree AgentNoNo22025-09-27FalseFalsePro & Farm775,500$775,500$0$0$No775,500$--------775,500$--------No--------Link / NHL Link
Vyacheslav PeksaMonsters (CBJ)G212002-08-27RUSYes194 Lbs6 ft3NoNoProspectNoNo32025-09-27FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Zack OstapchukMonsters (CBJ)C212003-05-29CANNo212 Lbs6 ft4NoNoProspectNoNo22025-09-27FalseFalsePro & Farm825,000$825,000$0$0$No825,000$--------825,000$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1723.41200 Lbs6 ft22.18838,828$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nils Aman30122
230122
320122
4Nick Abruzzese20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
130122
2Calle RosenFrederic Brunet30122
320122
420122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
150005
2Nils Aman50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
150014
2Nick AbruzzeseFrederic Brunet50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
150140
250140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
150230
2Frederic Brunet50230
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
150140Calle Rosen50140
250140Frederic Brunet50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
150122
2Nick Abruzzese50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Frederic Brunet50122
250122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nick Abruzzese
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nils Aman
Extra Forwards
Normal PowerPlayPenalty Kill
, , Nick Abruzzese,
Extra Defensemen
Normal PowerPlayPenalty Kill
, Frederic Brunet, ,
Penalty Shots
, Nick Abruzzese, , ,
Goalie
#1 : Nikita Tolopilo, #2 :
Custom OT Lines Forwards
, Nils Aman, Nick Abruzzese, , , , , , ,
Custom OT Lines Defensemen
, , , , Frederic Brunet


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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
0000000000000
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
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4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0%0$0$5000100

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

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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

Monsters Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

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

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

Monsters Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA