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Monsters
GP: 32 | W: 14 | L: 14 | OTL: 4 | P: 32
GF: 115 | GA: 131 | PP%: 18.10% | PK%: 67.27%
GM : Simon Latour | Morale : 35 | Team Overall : 62
Next Games #525 vs San Diego Gulls

Game Center
Belleville Senators
13-17-1, 27pts
4
1 Monsters
14-14-4, 32pts
Team Stats
W3StreakW1
5-9-0Home Record6-7-1
8-8-1Home Record8-7-3
6-3-1Last 10 Games4-4-2
3.52Goals Per Game3.59
3.65Goals Against Per Game4.09
21.19%Power Play Percentage18.10%
73.33%Penalty Kill Percentage67.27%
Henderson Silver Knights
18-10-3, 39pts
1
3 Monsters
14-14-4, 32pts
Team Stats
L1StreakW1
7-6-2Home Record6-7-1
11-4-1Home Record8-7-3
5-5-0Last 10 Games4-4-2
3.52Goals Per Game3.59
3.13Goals Against Per Game4.09
15.04%Power Play Percentage18.10%
80.17%Penalty Kill Percentage67.27%
San Diego Gulls
14-15-3, 31pts
2025-12-16
Monsters
14-14-4, 32pts
Team Stats
W1StreakW1
7-6-2Home Record6-7-1
7-9-1Away Record8-7-3
5-3-2Last 10 Games4-4-2
3.38Goals Per Game3.59
3.75Goals Against Per Game3.59
24.35%Power Play Percentage18.10%
77.88%Penalty Kill Percentage67.27%
Wild
12-17-3, 27pts
2025-12-18
Monsters
14-14-4, 32pts
Team Stats
L1StreakW1
6-9-2Home Record6-7-1
6-8-1Away Record8-7-3
3-7-0Last 10 Games4-4-2
3.69Goals Per Game3.59
4.00Goals Against Per Game3.59
22.43%Power Play Percentage18.10%
84.17%Penalty Kill Percentage67.27%
Monsters
14-14-4, 32pts
2025-12-20
San Diego Gulls
14-15-3, 31pts
Team Stats
W1StreakW1
6-7-1Home Record7-6-2
8-7-3Away Record7-9-1
4-4-2Last 10 Games5-3-2
3.59Goals Per Game3.38
4.09Goals Against Per Game3.38
18.10%Power Play Percentage24.35%
67.27%Penalty Kill Percentage77.88%
Team Leaders
A.J. GreerGoals
A.J. Greer
15
Trey Fix-WolanskyAssists
Trey Fix-Wolansky
22
Trey Fix-WolanskyPoints
Trey Fix-Wolansky
36
Lukas ReichelPlus/Minus
Lukas Reichel
9
Matt MurrayWins
Matt Murray
14
Matt MurraySave Percentage
Matt Murray
0.905

Team Stats
Goals For
115
3.59 GFG
Shots For
1155
36.09 Avg
Power Play Percentage
18.1%
19 GF
Offensive Zone Start
39.1%
Goals Against
131
4.09 GAA
Shots Against
1325
41.41 Avg
Penalty Kill Percentage
67.3%%
36 GA
Defensive Zone Start
42.9%
Team Info

General ManagerSimon Latour
CoachKirk MacDonald
DivisionMetropolitan
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,738
Season Tickets300


Roster Info

Pro Team29
Farm Team18
Contract Limit47 / 55
Prospects5


Filter Tips
PriorityTypeDescription
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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.
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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")
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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
1Sam Colangelo (R)0X100.00733991728387746866636962716465036660242925,000$
2Andrew Agozzino0XX100.005939756768918466686564616674760226503531,000,000$
3Lukas Reichel0XX100.006136947069818767746860636665670416502411,200,000$
4Trey Fix-Wolansky0X100.006338736868908565636766626567680436502731,000,000$
5A.J. Greer0X100.008076686685748664576061636570710486402931,000,000$
6Nikita Nesterenko0X100.007239836379788762666064616365660446402431,000,000$
7Anton Blidh0X100.007042656177768560565962625770720226303131,000,000$
8Landon Slaggert0X100.006337856670797664586263656163640266302431,000,000$
9Chaz Lucius0X100.006537916274786759696159585662640436102311,000,000$
10Garrett Roe0X100.005637855965737658636159545677790206103831,000,000$
11Marcel Marcel0X100.008652745895677257555658595762640436102211,000,000$
12Zachary Gallant0X100.006941735978756156655861555966680376002731,000,000$
13Jordan Oesterle0X100.006736956671847865307062645375760226603431,000,000$
14Pierre-Olivier Joseph0X100.006838816977867967306858625166670226402731,000,000$
15Sebastian D. Aho0X100.006535936766827565306859645169710436403031,000,000$
16William Villeneuve0X100.006340756672708065306858574863650456302431,000,000$
17Mike Benning0X100.005738796066758359306261554863650436102431,000,000$
Scratches
1Andre Lee0X100.007942796291757960555962615765660216302631,000,000$
2Dylan Gambrell0X100.006037886469798258686063625669710406303031,000,000$
3Filip Mesar (R)0X100.00563687636574676165625853646163033600222925,000$
4Mark Senden0X100.006238875771727355625658575367690336002831,000,000$
5Tristan Allard0X100.006840805977728055605760585563650386002431,000,000$
6Corey Schueneman0X100.006137895972818458305760604970720356203031,000,000$
7Kyle Marino0X100.007873555687638454305259574670720206003131,000,000$
8Mitchell Vande Sompel0X100.006136955672627055305456534568700335902931,000,000$
9Isaac Belliveau0X100.006841795577666354305656574663650335902311,000,000$
10Leo Loof0X100.006641755476618353305754554563650205802431,000,000$
TEAM AVERAGE100.0067428162757678605161605956676803462
Filter Tips
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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
1Matt Murray0100.00747671937372747372747375850466503211,000,000$
2Jacob Ingham0100.00667369846564666564666565730396102631,000,000$
Scratches
TEAM AVERAGE100.007075708969687069687069707904363
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kirk MacDonald72707463645984CAN4132,500,000$


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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")
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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
1Trey Fix-WolanskyMonsters (CBJ)RW3214223602006474159531288.81%1761819.31461041870002390048.15%10800011.1703000220
2Sam ColangeloMonsters (CBJ)RW231321346603670148361088.78%763327.5413423631015813053.46%26000001.0713000232
3Lukas ReichelMonsters (CBJ)C/LW248223098068711336837.08%1365027.0905513630111800153.29%66800000.9224000113
4Nikita NesterenkoMonsters (CBJ)C32101828-12755785112461028.93%956817.762572485000032148.24%76700000.9911001012
5Sebastian D. AhoMonsters (CBJ)D32820281120585167234111.94%7277724.2814532950001823050.00%200000.7201000230
6A.J. GreerMonsters (CBJ)LW32158231491512659131348611.45%1264720.2431425890000402258.70%4600000.7101102022
7William VilleneuveMonsters (CBJ)D326152114010693960154110.00%4775423.57437309500007001100.00%100000.5600002121
8Mike BenningMonsters (CBJ)D32714216160732954234512.96%5067020.942462581000073000%000000.6300000101
9Dylan GambrellMonsters (CBJ)C3171320-2206607719599.09%1737712.1800012000000048.61%46700001.0601000110
10Marcel MarcelMonsters (CBJ)LW3211718-1200823066174316.67%1538812.1300000000152437.04%2700000.9311000212
11Corey SchuenemanMonsters (CBJ)D2321517114035193814225.26%4349421.512351959000161100%000000.6900000001
12Filip MesarMonsters (CBJ)RW22347-900933407317.50%746721.2300000000000041.67%3600000.3001000000
13Chaz LuciusMonsters (CBJ)C3242626016292281918.18%61805.6600001000000054.15%25300000.6600000001
14Isaac BelliveauMonsters (CBJ)D22145-21804316871412.50%2133215.1000000000022000%000000.3000000000
15Landon SlaggertMonsters (CBJ)LW31342004712388.33%05518.5302215000000037.50%800001.4400000002
16Mitchell Vande SompelMonsters (CBJ)D22123-36014574614.29%1931814.490000100003000%000000.1900000000
17Tristan AllardMonsters (CBJ)C29011000342010%0160.5600002000020085.71%700001.2400000000
18Zachary GallantMonsters (CBJ)C22011-1404710140%0904.1200001000100053.85%1300000.2201000000
19Mark SendenMonsters (CBJ)C22000000022020%0291.34000000001260033.33%120000000000000
Team Total or Average499111192303102483070570611283468439.84%355807016.171936552347371121359513950.65%267500010.75517105121617
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
1Matt MurrayMonsters (CBJ)32141440.9053.9119018012413010000.61118320500
Team Total or Average32141440.9053.91190180124130100018320500


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
A.J. GreerMonsters (CBJ)LW291996-12-14CANNo209 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Andre LeeMonsters (CBJ)LW262000-07-26SWENo206 Lbs196 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Andrew AgozzinoMonsters (CBJ)C/LW351991-01-03CANNo187 Lbs178 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Anton BlidhMonsters (CBJ)LW311995-03-14SWENo196 Lbs185 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Chaz LuciusMonsters (CBJ)C232003-05-02USANo185 Lbs185 CMNoNoFantasy DraftNoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link / NHL Link
Corey SchuenemanMonsters (CBJ)D301995-09-02USANo197 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Dylan GambrellMonsters (CBJ)C301996-08-26USANo185 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Filip MesarMonsters (CBJ)RW222004-01-03SVKYes176 Lbs175 CMNoNoTrade2025-09-03NoNo22025-08-24FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Garrett RoeMonsters (CBJ)C381988-02-22USANo180 Lbs175 CMNoNoFantasy DraftYesYes32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Isaac BelliveauMonsters (CBJ)D232002-11-26CANNo185 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link / NHL Link
Jacob InghamMonsters (CBJ)G262000-06-10CANNo186 Lbs193 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Jordan OesterleMonsters (CBJ)D341992-06-25USANo181 Lbs183 CMNoNoTrade2025-09-03YesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Kyle MarinoMonsters (CBJ)D311995-06-01CANNo220 Lbs191 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Landon SlaggertMonsters (CBJ)LW242002-06-25USANo180 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Leo LoofMonsters (CBJ)D242002-04-25SWENo176 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Lukas ReichelMonsters (CBJ)C/LW242002-05-17DEUNo170 Lbs183 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm1,200,000$0$0$No---------------------------Link / NHL Link
Marcel MarcelMonsters (CBJ)LW222003-10-31CZENo242 Lbs193 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link / NHL Link
Mark SendenMonsters (CBJ)C281998-01-22USANo201 Lbs178 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Matt MurrayMonsters (CBJ)G321994-05-25CANNo220 Lbs196 CMNoNoFantasy DraftYesYes12025-08-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link / NHL Link
Mike BenningMonsters (CBJ)D242002-01-05CANNo185 Lbs175 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Mitchell Vande SompelMonsters (CBJ)D291997-02-11CANNo198 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Nikita NesterenkoMonsters (CBJ)C242001-09-10USANo195 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Pierre-Olivier JosephMonsters (CBJ)D271999-07-01CANNo185 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Sam ColangeloMonsters (CBJ)RW242001-12-26USAYes211 Lbs188 CMNoNoFantasy DraftNoNo22025-08-17FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Sebastian D. AhoMonsters (CBJ)D301996-02-17SWENo180 Lbs178 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Trey Fix-WolanskyMonsters (CBJ)RW271999-05-26CANNo191 Lbs170 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Tristan AllardMonsters (CBJ)C242002-06-23CANNo200 Lbs185 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
William VilleneuveMonsters (CBJ)D242002-03-20CANNo175 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Zachary GallantMonsters (CBJ)C271999-03-06CANNo188 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2927.31193 Lbs185 CM2.591,001,724$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1A.J. Greer40122
2Nikita NesterenkoTrey Fix-Wolansky30122
3Marcel Marcel20122
4Chaz Lucius10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian D. AhoWilliam Villeneuve40122
2Mike Benning30122
320122
4Sebastian D. AhoWilliam Villeneuve10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1A.J. Greer60122
2Nikita NesterenkoTrey Fix-Wolansky40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian D. AhoWilliam Villeneuve60122
2Mike Benning40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Trey Fix-WolanskyA.J. Greer40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian D. AhoWilliam Villeneuve60122
2Mike Benning40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Sebastian D. AhoWilliam Villeneuve60122
240122Mike Benning40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Trey Fix-WolanskyA.J. Greer40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian D. AhoWilliam Villeneuve60122
2Mike Benning40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
A.J. GreerSebastian D. AhoWilliam Villeneuve
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
A.J. GreerSebastian D. AhoWilliam Villeneuve
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , Trey Fix-Wolansky, A.J. Greer, Nikita Nesterenko
Goalie
#1 : Matt Murray, #2 :
Custom OT Lines Forwards
, , Trey Fix-Wolansky, A.J. Greer, Nikita Nesterenko, , , Chaz Lucius, Marcel Marcel,
Custom OT Lines Defensemen
Sebastian D. Aho, William Villeneuve, , Mike Benning,


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
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
1Abbotsford Canucks11000000532000000000001100000053221.000581300433534744420367350352554167114.29%10100.00%0565118147.84%606129446.83%25754347.33%744518797234402197
2Admirals11000000312000000000001100000031221.000369004335347364203673503532411302150.00%30100.00%0565118147.84%606129446.83%25754347.33%744518797234402197
3Bears301011001315-21000100043120100100912-330.5001325380043353471194203673503512928366210110.00%11645.45%0565118147.84%606129446.83%25754347.33%744518797234402197
4Belleville Senators1010000014-31010000014-30000000000000.000112004335347274203673503563191621200.00%30100.00%0565118147.84%606129446.83%25754347.33%744518797234402197
5Bridgeport Islanders1000000145-1000000000001000000145-110.500471100433534732420367350353915418200.00%2150.00%0565118147.84%606129446.83%25754347.33%744518797234402197
6Calgary Wranglers11000000431000000000001100000043121.0004812004335347354203673503527166115120.00%3166.67%0565118147.84%606129446.83%25754347.33%744518797234402197
7Charlotte Checkers10001000541000000000001000100054121.000581300433534746420367350354210829500.00%3233.33%0565118147.84%606129446.83%25754347.33%744518797234402197
8Chicago Wolves11000000541000000000001100000054121.0005813004335347394203673503539126196116.67%3166.67%0565118147.84%606129446.83%25754347.33%744518797234402197
9Coachella Valley Firebirds1010000045-1000000000001010000045-100.0004812004335347374203673503548176267114.29%3233.33%0565118147.84%606129446.83%25754347.33%744518797234402197
10Colorado Eagles11000000532110000005320000000000021.0005813004335347354203673503542118265240.00%4175.00%0565118147.84%606129446.83%25754347.33%744518797234402197
11Condors211000007611010000012-11100000064220.5007142100433534761420367350351113019506233.33%7185.71%0565118147.84%606129446.83%25754347.33%744518797234402197
12Griffins20100001611-51010000026-41000000145-110.25061117004335347874203673503591302448400.00%10460.00%0565118147.84%606129446.83%25754347.33%744518797234402197
13Henderson Silver Knights11000000312110000003120000000000021.00034700433534736420367350355114428200.00%20100.00%0565118147.84%606129446.83%25754347.33%744518797234402197
14Laval Rocket1010000015-41010000015-40000000000000.00012300433534732420367350354110827200.00%4250.00%0565118147.84%606129446.83%25754347.33%744518797234402197
15Moose1010000034-1000000000001010000034-100.00035800433534745420367350353388146233.33%4175.00%0565118147.84%606129446.83%25754347.33%744518797234402197
16Penguins2110000079-2110000005411010000025-320.5007111800433534773420367350356418124310220.00%5180.00%0565118147.84%606129446.83%25754347.33%744518797234402197
17Rochester Americans1010000034-1000000000001010000034-100.000358004335347234203673503549141625000%7185.71%0565118147.84%606129446.83%25754347.33%744518797234402197
18Syracruse Crunch1010000034-11010000034-10000000000000.0003690043353475342036735035311810196116.67%5260.00%0565118147.84%606129446.83%25754347.33%744518797234402197
19Texas Stars11000000431000000000001100000043121.00047110043353472342036735035441312172150.00%5180.00%1565118147.84%606129446.83%25754347.33%744518797234402197
20Thunderbirds1010000045-11010000045-10000000000000.000481200433534727420367350353356212150.00%30100.00%0565118147.84%606129446.83%25754347.33%744518797234402197
21Toronto Marlies31100001916-720100001413-91100000053230.500915240043353479242036735035134452082200.00%9544.44%0565118147.84%606129446.83%25754347.33%744518797234402197
22Utica Comets20100010910-1100000106511010000035-220.50091524004335347774203673503582138614125.00%4325.00%0565118147.84%606129446.83%25754347.33%744518797234402197
23Wild1010000034-1000000000001010000034-100.00036900433534722420367350353713823300.00%40100.00%0565118147.84%606129446.83%25754347.33%744518797234402197
24Wolf Pack11000000422110000004220000000000021.0004812004335347544203673503538812225120.00%5180.00%0565118147.84%606129446.83%25754347.33%744518797234402197
Total32111402113115131-161447010114357-141877011027274-2320.50011520431900433534711554203673503513253762727381051918.10%1103667.27%1565118147.84%606129446.83%25754347.33%744518797234402197
_Since Last GM Reset32111402113115131-161447010114357-141877011027274-2320.50011520431900433534711554203673503513253762727381051918.10%1103667.27%1565118147.84%606129446.83%25754347.33%744518797234402197
_Vs Conference2049021137093-231025010113046-161024011024047-7180.450701221920043353477544203673503584224018047658712.07%712959.15%0565118147.84%606129446.83%25754347.33%744518797234402197
_Vs Division1033011114245-34200101019145613001012331-8120.600427411600433534739442036735035391947822537616.22%301356.67%0565118147.84%606129446.83%25754347.33%744518797234402197

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3232W11152043191155132537627273800
All Games
GPWLOTWOTL SOWSOLGFGA
3211142113115131
Home Games
GPWLOTWOTL SOWSOLGFGA
144710114357
Visitor Games
GPWLOTWOTL SOWSOLGFGA
187711027274
Last 10 Games
WLOTWOTL SOWSOL
440101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1051918.10%1103667.27%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
420367350354335347
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
565118147.84%606129446.83%25754347.33%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
744518797234402197


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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
3 - 2025-10-0916Monsters3Admirals1WBox score
5 - 2025-10-1133Monsters3Wild4LBox score
7 - 2025-10-1345Utica Comets5Monsters6WXXBox score
10 - 2025-10-1667Colorado Eagles3Monsters5WBox score
12 - 2025-10-1882Syracruse Crunch4Monsters3LBox score
15 - 2025-10-21106Monsters4Texas Stars3WBox score
18 - 2025-10-24125Bears3Monsters4WXBox score
19 - 2025-10-25134Monsters2Penguins5LBox score
22 - 2025-10-28152Monsters3Rochester Americans4LBox score
23 - 2025-10-29166Toronto Marlies8Monsters0LBox score
26 - 2025-11-01189Thunderbirds5Monsters4LBox score
27 - 2025-11-02195Monsters4Bridgeport Islanders5LXXBox score
30 - 2025-11-05215Monsters4Calgary Wranglers3WBox score
33 - 2025-11-08241Monsters5Abbotsford Canucks3WBox score
35 - 2025-11-10254Monsters6Condors4WBox score
36 - 2025-11-11264Monsters4Coachella Valley Firebirds5LBox score
38 - 2025-11-13274Condors2Monsters1LBox score
40 - 2025-11-15290Wolf Pack2Monsters4WBox score
42 - 2025-11-17305Laval Rocket5Monsters1LBox score
43 - 2025-11-18311Monsters3Moose4LBox score
45 - 2025-11-20319Monsters5Toronto Marlies3WBox score
47 - 2025-11-22335Monsters4Griffins5LXXBox score
49 - 2025-11-24356Monsters4Bears5LXBox score
51 - 2025-11-26369Toronto Marlies5Monsters4LXXBox score
53 - 2025-11-28388Penguins4Monsters5WBox score
56 - 2025-12-01406Monsters3Utica Comets5LBox score
59 - 2025-12-04432Griffins6Monsters2LBox score
61 - 2025-12-06442Monsters5Charlotte Checkers4WXBox score
62 - 2025-12-07459Monsters5Bears7LBox score
64 - 2025-12-09471Monsters5Chicago Wolves4WBox score
66 - 2025-12-11486Belleville Senators4Monsters1LBox score
68 - 2025-12-13502Henderson Silver Knights1Monsters3WBox score
71 - 2025-12-16525San Diego Gulls-Monsters-
73 - 2025-12-18540Wild-Monsters-
75 - 2025-12-20560Monsters-San Diego Gulls-
77 - 2025-12-22574Monsters-Ontario Reign-
83 - 2025-12-28603Bridgeport Islanders-Monsters-
84 - 2025-12-29606Monsters-Belleville Senators-
86 - 2025-12-31627Utica Comets-Monsters-
89 - 2026-01-03646Rochester Americans-Monsters-
90 - 2026-01-04658Penguins-Monsters-
92 - 2026-01-06675Monsters-Barracuda-
94 - 2026-01-08692Monsters-Henderson Silver Knights-
96 - 2026-01-10699Monsters-Colorado Eagles-
97 - 2026-01-11714Monsters-Tucson Roadrunners-
99 - 2026-01-13728Calgary Wranglers-Monsters-
101 - 2026-01-15743Abbotsford Canucks-Monsters-
103 - 2026-01-17760Monsters-Penguins-
106 - 2026-01-20782Belleville Senators-Monsters-
108 - 2026-01-22797Texas Stars-Monsters-
110 - 2026-01-24814Syracruse Crunch-Monsters-
112 - 2026-01-26828Ontario Reign-Monsters-
114 - 2026-01-28840Phantoms-Monsters-
116 - 2026-01-30858Monsters-IceHogs-
117 - 2026-01-31868Monsters-Thunderbirds-
120 - 2026-02-03887Monsters-Utica Comets-
121 - 2026-02-04894IceHogs-Monsters-
143 - 2026-02-26918Monsters-Bruins-
145 - 2026-02-28937Bridgeport Islanders-Monsters-
147 - 2026-03-02953Monsters-Wolf Pack-
148 - 2026-03-03963Admirals-Monsters-
150 - 2026-03-05978Charlotte Checkers-Monsters-
152 - 2026-03-07995Tucson Roadrunners-Monsters-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-03-101015Monsters-Syracruse Crunch-
157 - 2026-03-121031Monsters-Charlotte Checkers-
159 - 2026-03-141052Monsters-Phantoms-
162 - 2026-03-171070Chicago Wolves-Monsters-
164 - 2026-03-191086Wolf Pack-Monsters-
166 - 2026-03-211104Coachella Valley Firebirds-Monsters-
167 - 2026-03-221114Monsters-Bridgeport Islanders-
169 - 2026-03-241125Monsters-Phantoms-
171 - 2026-03-261137Monsters-Laval Rocket-
173 - 2026-03-281158Barracuda-Monsters-
174 - 2026-03-291170Bruins-Monsters-
176 - 2026-03-311185Chicago Wolves-Monsters-
178 - 2026-04-021197Monsters-Chicago Wolves-
180 - 2026-04-041215Moose-Monsters-
183 - 2026-04-071235Monsters-Griffins-
185 - 2026-04-091247Monsters-Rochester Americans-
187 - 2026-04-111271Monsters-Laval Rocket-
188 - 2026-04-121278Bruins-Monsters-
190 - 2026-04-141295Bears-Monsters-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance25,78412,548
Attendance PCT92.09%89.63%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
27 2738 - 91.27% 113,740$1,592,364$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,377,282$ 2,905,000$ 2,905,000$ 2,500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,025,715$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,070,988$ 124 28,151$ 3,490,724$




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