Monsters

GP: 12 | W: 8 | L: 4 | OTL: 0 | P: 16
GF: 45 | GA: 39 | PP%: 23.08% | PK%: 80.00%
GM : Eric Leclerc | Morale : 75 | Team Overall : 63

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# 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
1Logan Brown (R)0XX100.00875287679681656671686367646769075670
2Alex Limoges0XX100.00693793667880816473656362666970075650
3Brendan Gaunce0XX100.00784082638786836278616465637173075650
4Alex Steeves (R)0XXX100.00743882677589856569636661646768075650
5Mason Morelli99XX100.00723978657682816456606762666971075650
6Christian Fischer0XX100.00774688658378836358646066617268075650
7Liam Foudy (R)0XXX100.00653789687587816571665964626567075640
8Matthew Highmore0XXX100.00693694657079816367645968576970075640
9Rutger McGroarty (R)0XXX100.00693983667888726462656062646163075630
10Xavier Parent (R)0XX100.00623973636287856268616062616466075620
11Dylan Gambrell0XX100.00603788646979825868605962566971075620
12Jake Bean0X100.00613591667686876530675868526967075650
13Gustav Lindstrom0X100.00723981647982776230676063516769075640
14Kaedan Korczak (R)0X100.00744287648483776230685863526466075640
15Logan Stanley0X100.00748466639986766230715470476867075640
16Ville Ottavainen (R)0X100.00814184649182866330665761496365075640
17William Lagesson0X100.00764277628382736130655870506971075640
18Pierre-Olivier Joseph0X100.00683881697786796730685462516667075640
Scratches
1Anton Wahlberg (R)0XX100.00733994598276735867605759566062075610
2Graeme Clarke (R)0XX100.00683784596991855760585956556564075610
3Xavier Simoneau (R)0XX100.00644358636572816268615563606466075610
4Nathan Gaucher (R)0XX100.00765069588573845562565759586264075600
5Brendan Lemieux0XX100.00787453588077675754565955587170075600
6Milo Roelens0XX100.00844373569366675457515558546264075590
7Aidan Fulp0X100.00814189539063755230555159456567075590
8Jesse Pulkkinen (R)0X100.00844394559365605430535059456163075590
9Cam McDonald (R)0X100.00553784546462635330525055456466075560
TEAM AVERAGE100.0072438262808077615262586256666707563
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9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Brandon Halverson100.0076827796757476757476756983075670
2Remi Poirier (R)100.0077848082767577767577766471075660
Scratches
1Gabriel Carriere100.0070757178696870696870696573075620
2Victor Ostman (R)100.0069726887686769686769686573075620
TEAM AVERAGE100.007378748672717372717372667507564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Luke Richardson78747680847864CAN563750,000$


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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
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# 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
1Logan BrownMonsters (CBJ)C/LW1271219775364051173313.73%829724.791346430000320150.00%42600011.2800010301
2Kaedan KorczakMonsters (CBJ)D12481276015142281418.18%1426622.181451347000024000.00%000000.9000000010
3Logan StanleyMonsters (CBJ)D12461076020132651415.38%1326321.972461545000122100.00%000100.7600000020
4Mason MorelliMonsters (CBJ)C/LW125510040181944132011.36%024220.24123934000062144.44%7200000.8200000201
5Christian FischerMonsters (CBJ)C/RW123710420142126112811.54%122018.400112120000101040.00%1500000.9100000004
6Alex SteevesMonsters (CBJ)C/LW/RW1245916023144612378.70%223719.834151749000002054.55%1100000.7600000020
7Brendan GaunceMonsters (CBJ)C/LW12358116033304310256.98%325421.2004415490000111057.81%32000000.6300000000
8Jake BeanMonsters (CBJ)D12088140517175180.00%1229224.370111135000128000.00%000000.5500000000
9Liam FoudyMonsters (CBJ)C/LW/RW9178020919319213.23%214115.690001520000000145.16%12400001.1300000000
10Rutger McGroartyMonsters (CBJ)C/LW/RW12538-860251526102019.23%018415.40101111000020050.00%1400000.8700000010
11William LagessonMonsters (CBJ)D9156180361384312.50%1022124.58112634000018000.00%000000.5400000001
12Gustav LindstromMonsters (CBJ)D6235-3404694622.22%110016.8001161900003000.00%000000.9900000000
13Pierre-Olivier JosephMonsters (CBJ)D12145-740161182012.50%1618015.0210132000012000.00%000000.5500000000
14Dylan GambrellMonsters (CBJ)C/RW12235-600971991310.53%018515.42011000000180054.55%3300000.5400000000
15Matthew HighmoreMonsters (CBJ)C/LW/RW122132407294318294.65%326121.7901110490002211052.38%2100000.2300000000
16Alex LimogesMonsters (CBJ)C/LW2011-100023030.00%03115.83000160000300100.00%100000.6300000000
17Xavier SimoneauMonsters (CBJ)C/LW8011-2203222100.00%2648.12000000000000100.00%200000.3100000000
18Ville OttavainenMonsters (CBJ)D9101000132101210.00%2829.140000000002000.00%000000.2400000010
19Xavier ParentMonsters (CBJ)C/LW12000100022020.00%0252.1300000000000061.54%1300000.0000000000
Team Total or Average1994584129581528627643614029810.32%89355517.8712243613046100042188351.81%105200110.7300010577
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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 Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Brandon HalversonMonsters (CBJ)128310.8843.1370901373200010.0000120100
2Remi PoirierMonsters (CBJ)10000.8893.751600190000.0000012000
Team Total or Average138310.8843.1572501383290010.00001212100


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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
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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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aidan FulpD252000-02-29No216 Lbs6 ft4NoNoNo2RFAPro & Farm870,000$0$0$NoLink / NHL Link
Alex LimogesC/LW281997-09-16No201 Lbs6 ft1NoNoNo2UFAPro & Farm900,000$0$0$NoLink / NHL Link
Alex SteevesC/LW/RW251999-12-10Yes202 Lbs6 ft0NoNoNo2RFAPro & Farm874,400$0$0$NoLink / NHL Link
Anton WahlbergC/LW202005-07-04Yes194 Lbs6 ft3NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Brandon HalversonG291996-03-29No235 Lbs6 ft5NoNoNo2UFAPro & Farm900,000$0$0$NoLink / NHL Link
Brendan GaunceC/LW311994-03-25No219 Lbs6 ft3NoNoNo1UFAPro & Farm995,000$0$0$NoLink / NHL Link
Brendan LemieuxLW/RW291996-03-15No215 Lbs6 ft1NoNoNo1UFAPro & Farm775,000$0$0$NoLink / NHL Link
Cam McDonaldD242001-02-03Yes174 Lbs5 ft9NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Christian Fischer (1 Way Contract)C/RW281997-04-15No212 Lbs6 ft2NoNoNo2UFAPro & Farm999,999$999,999$71,428$NoLink / NHL Link
Dylan Gambrell (1 Way Contract)C/RW291996-08-26No185 Lbs5 ft11NoNoNo1UFAPro & Farm1,500,000$1,500,000$107,143$NoLink / NHL Link
Gabriel CarriereG242000-11-05No188 Lbs6 ft2NoNoNo2RFAPro & Farm850,000$0$0$NoLink / NHL Link
Graeme ClarkeLW/RW242001-04-24Yes175 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Gustav LindstromD261998-10-20No194 Lbs6 ft2NoNoNo1RFAPro & Farm998,900$0$0$NoLink / NHL Link
Jake Bean (1 Way Contract)D271998-06-09No191 Lbs6 ft1NoNoNo1RFAPro & Farm999,999$999,999$71,428$NoLink / NHL Link
Jesse PulkkinenD202004-12-27Yes203 Lbs6 ft6NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Kaedan KorczakD242001-01-29Yes203 Lbs6 ft3NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Liam Foudy (1 Way Contract)C/LW/RW252000-02-04Yes186 Lbs6 ft1NoNoNo1RFAPro & Farm1,000,000$1,000,000$71,429$NoLink / NHL Link
Logan BrownC/LW271998-03-05Yes218 Lbs6 ft6NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Logan Stanley (1 Way Contract)D271998-05-26No231 Lbs6 ft7NoNoYes3RFAPro & Farm1,555,000$1,555,000$111,071$NoLink / NHL Link
Mason MorelliC/LW291996-02-01No208 Lbs6 ft0NoNoNo2UFAPro & Farm900,000$0$0$NoLink / NHL Link
Matthew HighmoreC/LW/RW291996-02-27No186 Lbs5 ft11NoNoNo2UFAPro & Farm900,000$0$0$NoLink / NHL Link
Milo RoelensC/LW222003-01-16No205 Lbs6 ft6NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Nathan GaucherC/LW212003-11-06Yes207 Lbs6 ft3NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Pierre-Olivier JosephD261999-07-01No185 Lbs6 ft2NoNoNo1RFAPro & Farm995,000$0$0$NoLink / NHL Link
Remi PoirierG242001-10-06Yes210 Lbs6 ft2NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Rutger McGroartyC/LW/RW212004-03-30Yes203 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Victor OstmanG252000-10-03Yes205 Lbs6 ft4NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Ville OttavainenD232002-08-12Yes210 Lbs6 ft5NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
William Lagesson (1 Way Contract)D291996-02-22No211 Lbs6 ft2NoNoYes2UFAPro & Farm1,283,000$1,283,000$91,643$NoLink / NHL Link
Xavier ParentC/LW242001-03-23Yes170 Lbs5 ft8NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Xavier SimoneauC/LW242001-05-19Yes183 Lbs5 ft6NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3125.45201 Lbs6 ft21.87985,364$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mason MorelliLogan BrownChristian Fischer43023
2Alex SteevesBrendan GaunceMatthew Highmore33023
3Rutger McGroartyLiam FoudyDylan Gambrell20041
4Mason MorelliLogan BrownRutger McGroarty4023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanWilliam Lagesson40032
2Kaedan KorczakLogan Stanley30032
3Gustav LindstromPierre-Olivier Joseph20050
4Jake BeanWilliam Lagesson10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mason MorelliLogan BrownRutger McGroarty60014
2Alex SteevesBrendan GaunceMatthew Highmore40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav LindstromWilliam Lagesson60032
2Kaedan KorczakLogan Stanley40032
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Logan BrownMatthew Highmore60041
2Brendan GaunceChristian Fischer40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanWilliam Lagesson60041
2Kaedan KorczakLogan Stanley40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brendan Gaunce60050Jake BeanWilliam Lagesson60050
2Logan Brown40050Kaedan KorczakLogan Stanley40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Logan BrownMason Morelli60032
2Brendan GaunceChristian Fischer40032
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanWilliam Lagesson60032
2Kaedan KorczakLogan Stanley40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Logan BrownBrendan GaunceMason MorelliGustav LindstromLogan Stanley
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matthew HighmoreLogan BrownChristian FischerGustav LindstromLogan Stanley
Extra Forwards
Normal PowerPlayPenalty Kill
Mason Morelli, Rutger McGroarty, Dylan GambrellMason Morelli, Rutger McGroartyDylan Gambrell
Extra Defensemen
Normal PowerPlayPenalty Kill
Kaedan Korczak, Pierre-Olivier Joseph, Ville OttavainenVille OttavainenPierre-Olivier Joseph, Ville Ottavainen
Penalty Shots
Logan Brown, Mason Morelli, Christian Fischer, Brendan Gaunce, Alex Steeves
Goalie
#1 : Brandon Halverson, #2 : Remi Poirier
Custom OT Lines Forwards
Logan Brown, Liam Foudy, Christian Fischer, Brendan Gaunce, Alex Steeves, Mason Morelli, Mason Morelli, Matthew Highmore, Rutger McGroarty, Dylan Gambrell, Xavier Parent
Custom OT Lines Defensemen
Jake Bean, William Lagesson, Kaedan Korczak, Logan Stanley, Ville Ottavainen


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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.
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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1216W14584129436330898128611
All Games
GPWLOTWOTL SOWSOLGFGA
128400004539
Home Games
GPWLOTWOTL SOWSOLGFGA
62400001823
Visitor Games
GPWLOTWOTL SOWSOLGFGA
66000002716
Last 10 Games
WLOTWOTL SOWSOL
810100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
521223.08%35780.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1471251577199152
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
24646353.13%20439052.31%9519947.74%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
3092172648515278


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
1 - 2026-04-181Crunch6Monsters4LBoxScore
2 - 2026-04-199Crunch5Monsters3LBoxScore
3 - 2026-04-2017Monsters4Crunch2WBoxScore
4 - 2026-04-2125Monsters5Crunch4WBoxScore
5 - 2026-04-2233Crunch3Monsters4WBoxScore
6 - 2026-04-2341Monsters4Crunch3WXBoxScore
8 - 2026-04-2557Senators0Monsters1WBoxScore
9 - 2026-04-2661Senators5Monsters4LXBoxScore
10 - 2026-04-2765Monsters3Senators2WXBoxScore
11 - 2026-04-2869Monsters5Senators3WBoxScore
12 - 2026-04-2973Senators4Monsters2LBoxScore
13 - 2026-04-3077Monsters6Senators2WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2515
Attendance12,0006,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
4 3000 - 100.00% 81,250$487,500$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,320,830$ 2,320,830$ 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$ 1 0$ 0$




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
2024823036010411295304-941171705101151152-141131905310144152-88729554183611107948312291998496294240272976466320102776122.02%2806078.57%01632315751.69%1553292353.13%740140852.56%2036141718555961063538
2025824920072313422121304126803220170103674123120401117210963121342630972061221209012320911071027104252253074454519642636123.19%2334481.12%51841318457.82%1539274156.15%759134056.64%2238161416885501033549
Total Regular Season164795601764263751612182432508321321255668236310932131626155208637117118081722921417324612820911989198492525915081208397454012222.59%51310479.73%53473634154.77%3092566454.59%1499274854.55%427430323543114720971087
202512840000045396624000001823-5660000002716111645841291119915243614712515773308981286521223.08%35780.00%024646353.13%20439052.31%9519947.74%3092172648515278
Total Playoff12840000045396624000001823-5660000002716111645841291119915243614712515773308981286521223.08%35780.00%024646353.13%20439052.31%9519947.74%3092172648515278