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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 Francois Langelier | Morale : 50 | Team Overall : 64
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Team Leaders

Team Stats
Team Info

General ManagerJean Francois Langelier
CoachKen Hitchcock
DivisionDivision Centrale
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team24
Farm Team18
Contract Limit42 / 56
Prospects16


Team History

This Season0-0-0 (0PTS)
History95-59-18 (0.552%)
Playoff Appearances2
Playoff Record (W-L)3 - 8 (0.273%)
Stanley Cup0


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10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Jacob PetersonXXX100.0058459477728289767873737272665564506902513,000,000$
2Joseph VelenoXXX100.007545887473789376757475796768526450690251900,000$
3Jack McbainXXX100.008166877474809275757171786663506450680251900,000$
4Sergey TolchinskyXX100.0073488372657577766274767065726550506803012,000,000$
5Travis BoydXX100.0062459473717274727176697067705849506703100$
6Teemu PulkkinenXX100.0055449771697271726268697365595043506403311,100,000$
7Linden VeyXX100.0062459071697281696569696663655343506403311,250,000$
8David DesharnaisX100.0056459665656570657565646961787821506303800$
9Andrew DesjardinsX100.0068588666696779658164666661755721506303811,100,000$
10Kaedan KorczakX100.007145897773787577457568726049476650670242900,000$
11Alexis BinnerX100.0063498576766975714568656957645360506502611,000,000$
12Victor AntipinX100.0059479572687081704573657164695046506503221,500,000$
Scratches
1Seth GriffithXX100.0060449270696975686266686865584846506203211,100,000$
2Jordan SchroederX100.0053439969676966666768636663605138506103400$
3Michal RepikXX100.0060439269696474666665666564574830506103611,100,000$
4Dan SextonXX100.0060439669657068656365656764555021506103811,100,000$
5Danick PaquetteX100.0061478768736864636260606160464638505803411,000,000$
6Keenan SuthersXX100.007247797278666556485959625748475650580271500,000$
7Nico GrossX100.007145827370726870456560735647466650630252750,000$
8Kevin GravelX100.0058459770746868674564627061584742506203300$
9Mark KaticX100.0059439569687076674567646761494730506203511,000,000$
TEAM AVERAGE100.00644791717071756961686769636152465064
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Malcolm Subban100.008081798081768379808284707350506703100$
2Jaroslav Janus100.007577757676798381828279485334506403511,050,000$
Scratches
1Brent Moran100.007982668176658368687573474954505902800$
TEAM AVERAGE100.0078807379787383767780795558465063
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ken Hitchcock6780836499997CAN753100,000$


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.
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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 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
Alexis BinnerMonsters (Clb)D261998-12-03SWENo212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link
Andrew DesjardinsMonsters (Clb)C381986-07-27CANNo196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Brent MoranMonsters (Clb)G281996-07-05CANNo195 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Link
Dan SextonMonsters (Clb)LW/RW381987-04-29USANo156 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Danick PaquetteMonsters (Clb)C341990-07-17CANNo217 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link
David DesharnaisMonsters (Clb)C381986-09-14CANNo180 Lbs5 ft7NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Link
Jack McbainMonsters (Clb)C/LW/RW252000-01-06CANNo219 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Jacob PetersonMonsters (Clb)C/LW/RW251999-07-19SWENo180 Lbs6 ft1NoNoN/ANoNo12025-04-29FalseFalsePro & Farm3,000,000$0$0$No---------------------------Link
Jaroslav JanusMonsters (Clb)G351989-09-21SLONo191 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,050,000$0$0$No---------------------------Link
Jordan SchroederMonsters (Clb)C341990-09-29USANo174 Lbs5 ft8NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Link
Joseph VelenoMonsters (Clb)C/LW/RW252000-01-13CANNo201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Kaedan KorczakMonsters (Clb)D242001-01-29CANNo201 Lbs6 ft3NoNoProspectNoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Keenan SuthersMonsters (Clb)LW/RW271998-04-27USANo245 Lbs6 ft8NoNoTrade2025-02-01NoNo12025-04-29FalseFalsePro & Farm500,000$0$0$No---------------------------Link
Kevin GravelMonsters (Clb)D331992-03-06USANo205 Lbs6 ft4NoNoFree AgentNoNo02024-07-22FalseFalsePro & Farm0$0$No---------------------------Link
Linden VeyMonsters (Clb)LW/RW331991-07-17CANNo194 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Link
Malcolm SubbanMonsters (Clb)G311993-12-21USANo215 Lbs6 ft2NoNoTrade2024-01-13NoNo0FalseFalsePro & Farm0$0$No---------------------------Link
Mark KaticMonsters (Clb)D351989-05-09CANNo180 Lbs5 ft10NoNoTrade2024-01-27NoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link
Michal RepikMonsters (Clb)LW/RW361988-12-31CZENo191 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Nico GrossMonsters (Clb)D252000-01-26SUINo183 Lbs6 ft1NoNoProspectNoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Sergey TolchinskyMonsters (Clb)LW/RW301995-02-03RUSNo170 Lbs5 ft8NoNoN/ANoNo12024-04-29FalseFalsePro & Farm2,000,000$0$0$No---------------------------Link
Seth GriffithMonsters (Clb)LW/RW321993-01-04CANNo190 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Teemu PulkkinenMonsters (Clb)LW/RW331992-01-02FINNo187 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Travis BoydMonsters (Clb)LW/RW311993-09-14USANo190 Lbs6 ft0NoNoTrade2024-12-10NoNo02024-07-02FalseFalsePro & Farm0$0$No---------------------------Link
Victor AntipinMonsters (Clb)D321992-12-06KAZNo171 Lbs5 ft10NoNoFree AgentNoNo22024-07-12FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2431.17193 Lbs6 ft00.88885,417$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
133023
2Travis Boyd31023
3Andrew DesjardinsTeemu Pulkkinen27023
4Linden VeyDavid Desharnais9023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135023
2Kaedan Korczak33023
3Victor AntipinAlexis Binner32032
40032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160005
2Travis BoydDavid Desharnais40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160005
2Kaedan Korczak40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Teemu Pulkkinen50050
2Andrew Desjardins50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakVictor Antipin50050
250050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
150050Kaedan KorczakVictor Antipin50050
2Andrew Desjardins5005050050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
150023
250023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
150032
2Kaedan Korczak50032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , Teemu Pulkkinen,
Extra Defensemen
Normal PowerPlayPenalty Kill
Victor Antipin, Alexis Binner, Alexis BinnerAlexis Binner,
Penalty Shots
, , , Teemu Pulkkinen,
Goalie
#1 : Malcolm Subban, #2 : Jaroslav Janus


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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
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
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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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3015
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,125,000$ 2,125,000$ 100,000$0$
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$ 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
1Joseph Veleno1647388161396624130352813.83%54326619.9219244397112814352.44%10.9913
2Jacob Peterson163558213725206017651410.70%29300418.431326399900016353.63%00.91211
3Victor Mete15919951143601121532268.41%187359122.591125361290220220%00.6300
4Jack Mcbain134365490-1732192984048.91%38268820.0678157510143150.60%00.6727
5Steven Lorentz164434285171410314234212.57%19254015.49612186100059051.06%10.6737

Monsters Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Malcolm Subban106573480.8943.0859132330328690210.76743
2Jaroslav Janus59291450.8982.7830492414113860210.66712
3Brent Moran33000.8863.3318000108800000

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
Regular Season
158236320704328525530411716020331451341141191605010140121199728551980415931027912257582784787248234569952813072584316.67%2245276.79%31509290551.94%1370263352.03%701136251.47%2017140218735941074544
1682392705443287250374120904422154127274119180102113312310103287512799231071007112259890485681152227865852512272917124.40%2124280.19%01546290353.26%1439264054.51%748138454.05%2034141318566061082548
Total Regular Season164755901248657250567823725064552992613882383406031273244292005721031160338200202150245173173117031683100462313571053253454911420.77%4369478.44%33055580852.60%2809527353.27%1449274652.77%405128163730120121561092
Playoff
15514000001418-42020000046-2312000001012-22142438004640134553544015043439015320.00%18666.67%06515541.94%8516850.60%437954.43%11073124396633
16624000001415-13210000074330300000711-4414264001653018352605516175522510420210.00%9188.89%011222250.45%10120948.33%377847.44%151105144477940
Total Playoff1138000002833-55230000011101615000001723-6628507801101170317107959916325956819435514.29%27774.07%017737746.95%18637749.34%8015750.96%2621782698714573

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
1Sebastian Aho (DEF)11066-3101017140%1623020.9903380000000%00.5200
2Victor Mete11066-40711200%2225323.0102260000000%00.4700
3Vyacheslav Leshchenko5235141041315.38%08016.06011200000025.00%01.2500
4Victor Antipin62354421633.33%610918.3000010000000%00.9100
5Teemu Pulkkinen11505-12142917.24%218116.52000200001050.00%00.5500

Monsters Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Malcolm Subban102440.8982.96568012827400000
2Jaroslav Janus31000.9022.801070055100000