Monsters

GP: 32 | W: 25 | L: 5 | OTL: 2 | P: 52
GF: 150 | GA: 80 | PP%: 23.15% | PK%: 81.71%
GM : Eric Leclerc | Morale : 75 | Team Overall : 63
Next Games #524 vs Gulls

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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
1Alex Limoges0XX100.00693793667880816473656362666970075650
2Brendan Gaunce0XX100.00784082638786836278616465637173075650
3Alex Steeves (R)0XXX100.00743882677589856569636661646768075650
4Mason Morelli99XX100.00723978657682816456606762666971075650
5Christian Fischer0XX100.00774688658378836358646066617268075650
6Matthew Highmore0XXX100.00693694657079816367645968576970075640
7Rutger McGroarty (R)0XXX100.00693983667888726462656062646163075630
8Anton Wahlberg (R)0XX100.00733994598276735867605759566062075610
9Xavier Simoneau (R)0XX100.00644358636572816268615563606466075610
10Jake Bean0X100.00613591667686876530675868526967075650
11Gustav Lindstrom0X100.00723981647982776230676063516769075640
12Kaedan Korczak (R)0X100.00744287648483776230685863526466075640
13Ville Ottavainen (R)0X100.00814184649182866330665761496365075640
14William Lagesson0X100.00764277628382736130655870506971075640
15Pierre-Olivier Joseph0X100.00683881697786796730685462516667075640
Scratches
1Logan Brown (R)0XX100.00875287679681656671686367646769075670
2Liam Foudy (R)0XXX100.00653789687587816571665964626567075640
3Xavier Parent (R)0XX100.00623973636287856268616062616466075620
4Dylan Gambrell0XX100.00603788646979825868605962566971075620
5Graeme Clarke (R)0XX100.00683784596991855760585956556564075610
6Nathan Gaucher (R)0XX100.00765069588573845562565759586264075600
7Brendan Lemieux0XX100.00787453588077675754565955587170075600
8Milo Roelens0XX100.00844373569366675457515558546264075590
9Logan Stanley0X100.00748466639986766230715470476867075640
10Aidan Fulp0X100.00814189539063755230555159456567075590
11Jesse Pulkkinen (R)0X100.00844394559365605430535059456163075590
12Cam McDonald (R)0X100.00553784546462635330525055456466075560
TEAM AVERAGE100.0072438262808077615262586256666707563
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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 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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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
1Alex LimogesMonsters (CBJ)C/LW3220163631601955141318114.18%363419.834262791000038156.52%6900011.1300000341
2Alex SteevesMonsters (CBJ)C/LW/RW3223133626805748128489917.97%765320.4234723910000114067.65%6800121.1001000531
3Brendan GaunceMonsters (CBJ)C/LW32151934271608580117389612.82%766220.7124629870111312061.48%79700001.0311000246
4Jake BeanMonsters (CBJ)D32727342160225564206810.94%4179024.7033630100112172100.00%000000.8600000002
5Logan BrownMonsters (CBJ)C/LW21122032171557355103267911.65%849823.7404414610001280156.89%62400001.2800001520
6William LagessonMonsters (CBJ)D26724311616057255364213.21%3452620.2638112152000041100.00%000001.1800000104
7Mason MorelliMonsters (CBJ)C/LW30121628142204347112418110.71%160620.2123521810001243148.94%4700000.9201000030
8Christian FischerMonsters (CBJ)C/RW321117287120665011337769.73%458818.4116715720110392155.18%38600100.9501000132
9Rutger McGroartyMonsters (CBJ)C/LW/RW3281927156027409628918.33%855417.34011290001150060.34%5800000.9700000004
10Gustav LindstromMonsters (CBJ)D3232023194051363618188.33%3661019.063361359000153000.00%000000.7500000001
11Logan StanleyMonsters (CBJ)D195162110260382127142018.52%2740921.572241670101231100.00%000001.0200000021
12Matthew HighmoreMonsters (CBJ)C/LW/RW27912211720133789307310.11%147117.4621310300002401151.61%3100000.8900000023
13Liam FoudyMonsters (CBJ)C/LW/RW306121842022768423477.14%945615.20000220111600059.17%60000000.7900000201
14Kaedan KorczakMonsters (CBJ)D32112132110068323511322.86%2958818.40011926000024100.00%000000.4400000001
15Ville OttavainenMonsters (CBJ)D3201212121404513205140.00%2140512.66033422000018000.00%000000.5900000000
16Pierre-Olivier JosephMonsters (CBJ)D3248121416051253362012.12%2647414.830007240000270025.00%400000.5100000001
17Xavier SimoneauMonsters (CBJ)C/LW1444858028133881910.53%320714.8300000000000154.55%3300000.7700000000
18Anton WahlbergMonsters (CBJ)C/LW220334002414450.00%11155.2400000000080036.00%2500000.5200000000
19Jesse PulkkinenMonsters (CBJ)D2000200610100.00%22914.840000000000000.00%000000.0000000000
Team Total or Average5111472704172821895773713130339596111.28%268928418.172545702438852461153324658.35%274200230.9014001192328
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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
1Brandon HalversonMonsters (CBJ)1816200.9282.14109401395430001.0004183300
2Remi PoirierMonsters (CBJ)149320.8992.9284301414060000.00001418100
Team Total or Average3225520.9162.48193802809490001.00043221400


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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 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$645,833$NoLink / NHL Link
Dylan Gambrell (1 Way Contract)C/RW291996-08-26No185 Lbs5 ft11NoNoNo1UFAPro & Farm1,500,000$1,500,000$968,750$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$645,833$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$645,833$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$1,004,271$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$828,604$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 MorelliChristian FischerAlex Steeves40122
2Alex LimogesBrendan GaunceMatthew Highmore30122
3Rutger McGroartyXavier Simoneau20122
4Anton WahlbergXavier SimoneauChristian Fischer10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanPierre-Olivier Joseph40122
2William LagessonVille Ottavainen30122
3Kaedan KorczakGustav Lindstrom20122
4Jake BeanPierre-Olivier Joseph10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mason MorelliChristian FischerAlex Steeves60122
2Alex LimogesBrendan GaunceMatthew Highmore40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanPierre-Olivier Joseph60122
2William LagessonVille Ottavainen40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Christian FischerMason Morelli60122
2Alex SteevesBrendan Gaunce40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanPierre-Olivier Joseph60122
2William LagessonVille Ottavainen40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Christian Fischer60122Jake BeanPierre-Olivier Joseph60122
2Mason Morelli40122William LagessonVille Ottavainen40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Christian FischerMason Morelli60122
2Alex SteevesBrendan Gaunce40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanPierre-Olivier Joseph60122
2William LagessonVille Ottavainen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mason MorelliChristian FischerAlex SteevesJake BeanPierre-Olivier Joseph
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mason MorelliChristian FischerAlex SteevesJake BeanPierre-Olivier Joseph
Extra Forwards
Normal PowerPlayPenalty Kill
, Rutger McGroarty, Anton Wahlberg, Rutger McGroartyAnton Wahlberg
Extra Defensemen
Normal PowerPlayPenalty Kill
Kaedan Korczak, Gustav Lindstrom, William LagessonKaedan KorczakGustav Lindstrom, William Lagesson
Penalty Shots
Christian Fischer, Mason Morelli, Alex Steeves, Brendan Gaunce, Alex Limoges
Goalie
#1 : Brandon Halverson, #2 : Remi Poirier
Custom OT Lines Forwards
Christian Fischer, Mason Morelli, Alex Steeves, Brendan Gaunce, Alex Limoges, Matthew Highmore, Matthew Highmore, , Rutger McGroarty, Xavier Simoneau, Anton Wahlberg
Custom OT Lines Defensemen
Jake Bean, Pierre-Olivier Joseph, William Lagesson, Ville Ottavainen, Kaedan Korczak


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3252W6150273423131394927018977402
All Games
GPWLOTWOTL SOWSOLGFGA
32195521015080
Home Games
GPWLOTWOTL SOWSOLGFGA
148122106635
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1811430008445
Last 10 Games
WLOTWOTL SOWSOL
820000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1082523.15%821581.71%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
459430405235161326
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
718122158.80%586103356.73%32153360.23%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
901657631212405219


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
3 - 2025-10-0916Monsters7Admirals3WBoxScore
5 - 2025-10-1133Monsters7Wild1WBoxScore
7 - 2025-10-1345Devils3Monsters4WXBoxScore
10 - 2025-10-1666Eagles2Monsters6WBoxScore
12 - 2025-10-1882Crunch1Monsters5WBoxScore
15 - 2025-10-21106Monsters5Stars0WBoxScore
18 - 2025-10-24124Bears6Monsters5LXBoxScore
19 - 2025-10-25134Monsters4Penguins6LBoxScore
22 - 2025-10-28153Monsters5Americans3WBoxScore
23 - 2025-10-29166Marlies4Monsters3LXBoxScore
26 - 2025-11-01189Thunderbirds4Monsters8WBoxScore
27 - 2025-11-02195Monsters0Sound Tigers2LBoxScore
30 - 2025-11-05215Monsters2Wranglers1WXBoxScore
33 - 2025-11-08241Monsters6Comets2WBoxScore
35 - 2025-11-10254Monsters2Condors3LBoxScore
36 - 2025-11-11264Monsters8Firebirds2WBoxScore
38 - 2025-11-13274Condors1Monsters4WBoxScore
40 - 2025-11-15290Wolf Pack0Monsters1WXBoxScore
42 - 2025-11-17305Rocket2Monsters4WBoxScore
43 - 2025-11-18311Monsters4Moose3WXBoxScore
45 - 2025-11-20319Monsters4Marlies3WBoxScore
47 - 2025-11-22335Monsters6Griffins2WBoxScore
49 - 2025-11-24356Monsters6Bears2WBoxScore
51 - 2025-11-26369Marlies1Monsters2WXXBoxScore
53 - 2025-11-28388Penguins3Monsters2LBoxScore
56 - 2025-12-01406Monsters2Devils4LBoxScore
59 - 2025-12-04431Griffins3Monsters6WBoxScore
61 - 2025-12-06442Monsters6Checkers2WBoxScore
62 - 2025-12-07459Monsters5Bears2WBoxScore
64 - 2025-12-09471Monsters5Wolves4WXBoxScore
66 - 2025-12-11486Senators3Monsters5WBoxScore
68 - 2025-12-13502Silver Knights2Monsters11WBoxScore
71 - 2025-12-16524Gulls-Monsters-
73 - 2025-12-18539Wild-Monsters-
75 - 2025-12-20560Monsters-Gulls-
77 - 2025-12-22574Monsters-Reign-
83 - 2025-12-28602Sound Tigers-Monsters-
84 - 2025-12-29606Monsters-Senators-
86 - 2025-12-31627Devils-Monsters-
89 - 2026-01-03646Americans-Monsters-
90 - 2026-01-04658Penguins-Monsters-
92 - 2026-01-06675Monsters-Barracuda-
94 - 2026-01-08692Monsters-Silver Knights-
96 - 2026-01-10699Monsters-Eagles-
97 - 2026-01-11714Monsters-Roadrunners-
99 - 2026-01-13728Wranglers-Monsters-
101 - 2026-01-15743Comets-Monsters-
103 - 2026-01-17760Monsters-Penguins-
106 - 2026-01-20782Senators-Monsters-
108 - 2026-01-22797Stars-Monsters-
110 - 2026-01-24814Crunch-Monsters-
112 - 2026-01-26828Reign-Monsters-
114 - 2026-01-28840Phantoms-Monsters-
116 - 2026-01-30858Monsters-IceHogs-
117 - 2026-01-31868Monsters-Thunderbirds-
120 - 2026-02-03886Monsters-Devils-
121 - 2026-02-04894IceHogs-Monsters-
143 - 2026-02-26918Monsters-Bruins-
145 - 2026-02-28938Sound Tigers-Monsters-
147 - 2026-03-02953Monsters-Wolf Pack-
148 - 2026-03-03963Admirals-Monsters-
150 - 2026-03-05978Checkers-Monsters-
152 - 2026-03-07995Roadrunners-Monsters-
155 - 2026-03-101015Monsters-Crunch-
157 - 2026-03-121031Monsters-Checkers-
159 - 2026-03-141052Monsters-Phantoms-
162 - 2026-03-171070Wolves-Monsters-
164 - 2026-03-191086Wolf Pack-Monsters-
166 - 2026-03-211104Firebirds-Monsters-
167 - 2026-03-221114Monsters-Sound Tigers-
169 - 2026-03-241125Monsters-Phantoms-
171 - 2026-03-261137Monsters-Rocket-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-281158Barracuda-Monsters-
174 - 2026-03-291170Bruins-Monsters-
176 - 2026-03-311185Wolves-Monsters-
178 - 2026-04-021196Monsters-Wolves-
180 - 2026-04-041215Moose-Monsters-
183 - 2026-04-071235Monsters-Griffins-
185 - 2026-04-091248Monsters-Americans-
187 - 2026-04-111271Monsters-Rocket-
188 - 2026-04-121278Bruins-Monsters-
190 - 2026-04-141295Bears-Monsters-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2515
Attendance27,84313,937
Attendance PCT99.44%99.55%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
-4 2984 - 99.48% 80,815$1,131,411$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,123,327$ 2,320,830$ 2,320,830$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 856,310$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-323,260$ 124 15,994$ 1,983,256$




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
2025321950521015080701481022106635311811403000844539521502734230251613261313459430405239492701897741082523.15%821581.71%2718122158.80%586103356.73%32153360.23%901657631212405219
Total Regular Season11449410156214453846155251807311217187305924230831022819731139445814125913158155115184232144313921347633678103485227843858622.34%3627579.28%22350437853.68%2139395654.07%1061194154.66%2937207424868091469758