Essayer le nouveau site
Please rotate your device to landscape mode for a better experience.
Login

Monsters
GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 4 | GA: 0 | PP%: 100.00% | PK%: 100.00%
GM : Jean Francois Langelier | Morale : 51 | Team Overall : 63
Next Games #26 vs Wranglers

Game Center
Monsters
1-0-0, 2pts
4
FINAL
0 Barracuda
0-1-0, 0pts
Team Stats
W1StreakL1
0-0-0Home Record0-1-0
1-0-0Home Record0-0-0
1-0-0Last 10 Games0-1-0
4.00Goals Per Game0.00
0.00Goals Against Per Game4.00
100.00%Power Play Percentage0.00%
100.00%Penalty Kill Percentage0.00%
Wranglers
1-0-0, 2pts
2025-08-15
Monsters
1-0-0, 2pts
Team Stats
W1StreakW1
1-0-0Home Record0-0-0
0-0-0Away Record1-0-0
1-0-0Last 10 Games1-0-0
6.00Goals Per Game4.00
4.00Goals Against Per Game4.00
100.00%Power Play Percentage100.00%
60.00%Penalty Kill Percentage100.00%
Monsters
1-0-0, 2pts
2025-08-17
Moose
0-0-0, 0pts
Team Stats
W1StreakN/A
0-0-0Home Record0-0-0
1-0-0Away Record0-0-0
1-0-0Last 10 Games0-0-0
4.00Goals Per Game0
0.00Goals Against Per Game0
100.00%Power Play Percentage0%
100.00%Penalty Kill Percentage0%
Roadrunners
0-0-0, 0pts
2025-08-19
Monsters
1-0-0, 2pts
Team Stats
N/AStreakW1
0-0-0Home Record0-0-0
0-0-0Away Record1-0-0
0-0-0Last 10 Games1-0-0
0Goals Per Game4.00
0Goals Against Per Game4.00
0%Power Play Percentage100.00%
0%Penalty Kill Percentage100.00%
Team Leaders
Goals
Ryan Merkley
1
Assists
Ryan Merkley
2
Points
Ryan Merkley
3
Plus/Minus
Nico Gross
2
Wins
Spencer Martin
1
Save Percentage
Spencer Martin
1

Team Stats
Goals For
4
4.00 GFG
Shots For
26
26.00 Avg
Power Play Percentage
100.0%
1 GF
Offensive Zone Start
35.1%
Goals Against
0
0.00 GAA
Shots Against
29
29.00 Avg
Penalty Kill Percentage
100.0%%
0 GA
Defensive Zone Start
44.6%
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 Team31
Farm Team18
Contract Limit49 / 56
Prospects8


Team History

This Season1-0-0 (2PTS)
History96-59-18 (0.555%)
Playoff Appearances2
Playoff Record (W-L)3 - 8 (0.273%)
Stanley Cup0


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 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
1Joona LuotoXX100.0062469573757579726667677565685354516602721,700,000$
2Brendan GaunceXXX99.0071458971767375717269667264634738516503121,300,000$
3Hudson FaschingXX100.0070479374747677715967677165635346516503021,300,000$
4Drake CaggiulaXXX100.0068458471697585707572677165685442516503121,300,000$
5Alexander BurmistrovXX100.0062459471717176696967657163715730516403331,200,000$
6Egor Afanasyev (R)XX100.006945907273757571606969716145457051640243750,000$
7Markus GranlundXX100.0058449971707377705967677165705834516403231,200,000$
8Seth GriffithXX100.0060449270696975686266686865584846516203211,100,000$
9Daniel Muzito-BagendaX100.006145877273757462726061626061495751610291900,000$
10Michal RepikXX100.0060439269696474666665666564574830516103611,100,000$
11Bryce Brodzinski (R)XX100.006750757269707065606664655845457051610253750,000$
12Yegor Spiridonov (R)X100.006845907270707069705858735445457051610243750,000$
13Kaedan KorczakX100.007145897773787577457568726049476651670242900,000$
14Alexis BinnerX100.0063498576766975714568656957645360516502611,000,000$
15Ryan Merkley (R)X100.006645807268757571457262725645457051640253750,000$
16Nico GrossX100.007145827370726870456560735647466651630252750,000$
17Antti Tuomisto (R)X100.006855757271707067456961705545457051620243750,000$
18Anttoni Honka (R)X100.006445857268707070456665676045457051620243750,000$
Scratches
1Conner BleackleyXX100.006545827269677463656169655858485049610291800,000$
2Dan SextonXX100.0060439669657068656365656764555021496103811,100,000$
3Zach GallantX100.008056567475666766736062696051476249610262800,000$
4Marc-Olivier RoyX100.006043877271666361756058625861524849600301800,000$
5Danick PaquetteXX100.0061478768736864636260606160464638495803511,000,000$
6Keenan SuthersXX100.007247797278666556485959625748475649580271500,000$
7Mikko Kokkonen (R)X100.006145907270707068456562716045457049620243750,000$
8John RamageX100.006550937071686869456664706246452649620343900,000$
9Mark KaticX100.0059439569687076674567646761494730496203611,000,000$
10Philip SamuelssonX100.006246937073676868456464696247453049620343900,000$
TEAM AVERAGE99.96654687727171726858666469615448515062
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 SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Spencer Martin99.008486798078788077777787657451526603021,500,000$
2Jaroslav Janus100.007577757676798381828279485334526403511,050,000$
Scratches
1Brent Moran100.00798266817665836868757347495450590291500,000$
TEAM AVERAGE99.6779827379777482757678805359465163
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.
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
1Ryan MerkleyMonsters (Clb)D11232000131333.33%11919.581012000001100%000003.0600000010
2Nico GrossMonsters (Clb)D110120000121100.00%01919.830000000002000%000001.0100000000
3Joona LuotoMonsters (Clb)LW/RW11012000140225.00%11919.15000100000100100.00%100001.0400000001
4Antti TuomistoMonsters (Clb)D1011100121000%12121.280000000001000%000000.9400000000
5Anttoni HonkaMonsters (Clb)D110110000101100.00%01919.620000000000000%000001.0200000000
6Bryce BrodzinskiMonsters (Clb)LW/RW1011100002110%01818.170000000002000%100001.1000000000
7Egor AfanasyevMonsters (Clb)LW/RW1011200022130%01717.28000000000000100.00%100001.1600000000
8Yegor SpiridonovMonsters (Clb)C1011000023110%01515.9001110000010057.89%1900001.2600000000
9Hudson FaschingMonsters (Clb)LW/RW1011100022120%01717.300111000000000%000001.1600000000
10Drake CaggiulaMonsters (Clb)C/LW/RW1011200101120%11717.2500000000000062.50%1600001.1600000000
11Daniel Muzito-BagendaMonsters (Clb)C1000000110010%099.2300000000000060.00%100000000000000
12Alexander BurmistrovMonsters (Clb)LW/RW1000000012020%01414.2300000000000050.00%20000000000000
13Michal RepikMonsters (Clb)LW/RW1000000211110%088.680000000000000%20000000000000
14Alexis BinnerMonsters (Clb)D1000000221000%11919.370000000001000%00000000000000
15Kaedan KorczakMonsters (Clb)D1000040131110%01717.420000000000000%00000000000000
16Brendan GaunceMonsters (Clb)C/LW/RW1000100031020%01919.3300010000020060.00%200000000000000
17Seth GriffithMonsters (Clb)LW/RW1000000000410%088.680000000000000%00000000000000
18Markus GranlundMonsters (Clb)LW/RW1000000010000%01313.6800000000000050.00%20000000000000
Team Total or Average184812154082226142415.38%529616.44123650000151058.11%7400000.8100000011
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
1Spencer MartinMonsters (Clb)11001.000060010290000010100
Team Total or Average11001.0000.006001029000010100


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
Alexander BurmistrovMonsters (Clb)LW/RW331991-10-21RUSNo187 Lbs6 ft0NoNoFree AgentNoNo32025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Link
Alexis BinnerMonsters (Clb)D261998-12-03SWENo212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link
Antti TuomistoMonsters (Clb)D242001-01-20FINYes194 Lbs6 ft4NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Anttoni HonkaMonsters (Clb)D242000-10-05FINYes184 Lbs5 ft11NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Brendan GaunceMonsters (Clb)C/LW/RW311994-03-25CANNo219 Lbs6 ft3NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Link
Brent MoranMonsters (Clb)G291996-07-05CANNo195 Lbs6 ft4NoNoN/ANoNo12025-05-28FalseFalsePro & Farm500,000$0$0$No---------------------------Link
Bryce BrodzinskiMonsters (Clb)LW/RW252000-08-09USAYes197 Lbs6 ft0NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Conner BleackleyMonsters (Clb)LW/RW291996-02-07CANNo192 Lbs6 ft0NoNoTrade2025-05-13NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Link
Dan SextonMonsters (Clb)LW/RW381987-04-29USANo156 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Danick PaquetteMonsters (Clb)LW/RW351990-07-17CANNo217 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link
Daniel Muzito-BagendaMonsters (Clb)C291996-06-16SWENo198 Lbs6 ft1NoNoTrade2025-05-13NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Drake CaggiulaMonsters (Clb)C/LW/RW311994-06-20CANNo179 Lbs5 ft10NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Link
Egor AfanasyevMonsters (Clb)LW/RW242001-01-23RUSYes211 Lbs6 ft4NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Hudson FaschingMonsters (Clb)LW/RW301995-07-28USANo209 Lbs6 ft3NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Link
Jaroslav JanusMonsters (Clb)G351989-09-21SLONo191 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,050,000$0$0$No---------------------------Link
John RamageMonsters (Clb)D341991-02-07CANNo189 Lbs6 ft0NoNoFree Agent2025-01-03NoNo32025-07-21FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Joona LuotoMonsters (Clb)LW/RW271997-09-26FINNo210 Lbs6 ft3NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------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 ft8NoNoTrade2025-02-01NoNo12025-05-28FalseFalsePro & Farm500,000$0$0$No---------------------------Link
Marc-Olivier RoyMonsters (Clb)C301994-11-05CANNo182 Lbs6 ft1NoNoTrade2025-05-13NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Link
Mark KaticMonsters (Clb)D361989-05-09CANNo180 Lbs5 ft10NoNoTrade2024-01-27NoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link
Markus GranlundMonsters (Clb)LW/RW321993-04-16FINNo187 Lbs5 ft10NoNoFree AgentNoNo32025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Link
Michal RepikMonsters (Clb)LW/RW361988-12-31CZENo191 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Mikko KokkonenMonsters (Clb)D242001-01-18FINYes200 Lbs6 ft0NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Nico GrossMonsters (Clb)D252000-01-26SUINo183 Lbs6 ft1NoNoProspectNoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Philip SamuelssonMonsters (Clb)D341991-07-26SWENo194 Lbs6 ft2NoNoFree AgentNoNo32025-07-21FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Ryan MerkleyMonsters (Clb)D252000-08-14CANYes186 Lbs6 ft0NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Seth GriffithMonsters (Clb)LW/RW321993-01-04CANNo190 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Spencer MartinMonsters (Clb)G301995-06-08CANNo205 Lbs6 ft3NoNoTrade2025-08-05NoNo22024-04-29FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Link
Yegor SpiridonovMonsters (Clb)C242001-01-22RUSYes192 Lbs6 ft2NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Zach GallantMonsters (Clb)C261999-03-06CANNo192 Lbs6 ft2NoNoTrade2025-05-13NoNo22024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3129.32196 Lbs6 ft11.97962,903$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joona LuotoDrake CaggiulaEgor Afanasyev30023
2Hudson FaschingBrendan GaunceBryce Brodzinski30023
3Markus GranlundYegor SpiridonovAlexander Burmistrov25023
4Seth GriffithDaniel Muzito-BagendaMichal Repik15023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakAlexis Binner31032
2Ryan MerkleyNico Gross31032
3Anttoni HonkaAntti Tuomisto31032
4Anttoni HonkaAntti Tuomisto7032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joona LuotoDrake CaggiulaBrendan Gaunce50005
2Hudson FaschingYegor SpiridonovEgor Afanasyev50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakAlexis Binner50005
2Ryan MerkleyNico Gross50005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Yegor SpiridonovJoona Luoto50050
2Brendan GaunceBryce Brodzinski50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakAlexis Binner50050
2Ryan MerkleyNico Gross50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Yegor Spiridonov50050Kaedan KorczakAlexis Binner50050
2Bryce Brodzinski50050Ryan MerkleyNico Gross50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Joona LuotoDrake Caggiula50023
2Brendan GaunceHudson Fasching50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakAlexis Binner50032
2Ryan MerkleyNico Gross50032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joona LuotoDrake CaggiulaBrendan GaunceKaedan KorczakAlexis Binner
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Joona LuotoDrake CaggiulaBrendan GaunceKaedan KorczakAlexis Binner
Extra Forwards
Normal PowerPlayPenalty Kill
Michal Repik, Markus Granlund, Alexander BurmistrovMichal Repik, Markus GranlundAlexander Burmistrov
Extra Defensemen
Normal PowerPlayPenalty Kill
Anttoni Honka, Antti Tuomisto, Ryan MerkleyAnttoni HonkaAntti Tuomisto, Ryan Merkley
Penalty Shots
Joona Luoto, Drake Caggiula, Brendan Gaunce, Hudson Fasching, Egor Afanasyev
Goalie
#1 : Spencer Martin, #2 : Jaroslav Janus


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
1Barracuda11000000404000000000001100000040421.000481201310026166402954811100.00%20100.00%0172665.38%183354.55%81553.33%2216257126
Total11000000404000000000001100000040421.000481201310026166402954811100.00%20100.00%0172665.38%183354.55%81553.33%2216257126
_Since Last GM Reset11000000404000000000001100000040421.000481201310026166402954811100.00%20100.00%0172665.38%183354.55%81553.33%2216257126
_Vs Conference11000000404000000000001100000040421.000481201310026166402954811100.00%20100.00%0172665.38%183354.55%81553.33%2216257126

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
12W14812262954801
All Games
GPWLOTWOTL SOWSOLGFGA
110000040
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
110000040
Last 10 Games
WLOTWOTL SOWSOL
100000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
11100.00%20100.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
166403100
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
172665.38%183354.55%81553.33%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2216257126


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
2 - 2025-08-1311Monsters4Barracuda0WBoxScore
4 - 2025-08-1526Wranglers-Monsters-
6 - 2025-08-1737Monsters-Moose-
8 - 2025-08-1952Roadrunners-Monsters-
10 - 2025-08-2167Monsters-Condors-
12 - 2025-08-2379Monsters-Canucks-
14 - 2025-08-2596Iowa Wild-Monsters-
16 - 2025-08-27116Monsters-Iowa Wild-
17 - 2025-08-28124Silver Knights-Monsters-
19 - 2025-08-30136Monsters-Barracuda-
22 - 2025-09-02154Condors-Monsters-
25 - 2025-09-05177Canucks-Monsters-
28 - 2025-09-08199Monsters-Roadrunners-
30 - 2025-09-10214Eagles-Monsters-
32 - 2025-09-12231Monsters-Griffins-
34 - 2025-09-14247SenatorsF-Monsters-
37 - 2025-09-17268Iowa Wild-Monsters-
39 - 2025-09-19287Monsters-Icehogs-
41 - 2025-09-21299PenguinsF-Monsters-
43 - 2025-09-23316Monsters-Marlies-
45 - 2025-09-25329Americans-Monsters-
47 - 2025-09-27352Monsters-Icehogs-
48 - 2025-09-28359Monsters-StarsF-
50 - 2025-09-30373Eagles-Monsters-
53 - 2025-10-03396BruinsF-Monsters-
55 - 2025-10-05410Monsters-Admirals-
57 - 2025-10-07424Monsters-Griffins-
59 - 2025-10-09434Thunderbirds-Monsters-
61 - 2025-10-11452Monsters-Condors-
63 - 2025-10-13466Canucks-Monsters-
64 - 2025-10-14477Monsters-Barracuda-
67 - 2025-10-17494Monsters-Crunch-
68 - 2025-10-18509Admirals-Monsters-
71 - 2025-10-21530Icehogs-Monsters-
73 - 2025-10-23547Monsters-Phantoms-
75 - 2025-10-25562Barracuda-Monsters-
78 - 2025-10-28578Monsters-Admirals-
80 - 2025-10-30593Gulls-Monsters-
82 - 2025-11-01609Monsters-Canucks-
84 - 2025-11-03623Gulls-Monsters-
88 - 2025-11-07652Monsters-Rocket-
89 - 2025-11-08662Comets-Monsters-
91 - 2025-11-10681Monsters-Roadrunners-
93 - 2025-11-12695Islanders-Monsters-
96 - 2025-11-15716Wranglers-Monsters-
100 - 2025-11-19744Icehogs-Monsters-
102 - 2025-11-21759Monsters-Reign-
104 - 2025-11-23774Admirals-Monsters-
106 - 2025-11-25792Monsters-Reign-
108 - 2025-11-27807SenatorsF-Monsters-
110 - 2025-11-29818Monsters-Eagles-
112 - 2025-12-01833Monsters-Silver Knights-
114 - 2025-12-03846StarsF-Monsters-
116 - 2025-12-05859Monsters-Moose-
118 - 2025-12-07878Checkers-Monsters-
119 - 2025-12-08890Monsters-Wranglers-
121 - 2025-12-10906Monsters-Gulls-
123 - 2025-12-12918Firebirds-Monsters-
126 - 2025-12-15937Monsters-StarsF-
128 - 2025-12-17945Reign-Monsters-
131 - 2025-12-20970Monsters-Wolf Pack-
132 - 2025-12-21980Silver Knights-Monsters-
135 - 2025-12-241002Condors-Monsters-
137 - 2025-12-261011Monsters-Thunderbirds-
139 - 2025-12-281028Monsters-Silver Knights-
141 - 2025-12-301043Reign-Monsters-
144 - 2026-01-021059Monsters-Eagles-
147 - 2026-01-051078StarsF-Monsters-
150 - 2026-01-081096Monsters-Iowa Wild-
151 - 2026-01-091107Roadrunners-Monsters-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-131131Monsters-Wranglers-
156 - 2026-01-141140Wolf Pack-Monsters-
159 - 2026-01-171161Monsters-Gulls-
160 - 2026-01-181167Monsters-Wolves-
162 - 2026-01-201180Barracuda-Monsters-
165 - 2026-01-231205Griffins-Monsters-
169 - 2026-01-271228Monsters-Bears-
170 - 2026-01-281237Wranglers-Monsters-
172 - 2026-01-301249Monsters-PenguinsF-
174 - 2026-02-011261Monsters-Thunderbirds-
176 - 2026-02-031271Thunderbirds-Monsters-
183 - 2026-02-101307Griffins-Monsters-



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
33,352$ 2,985,000$ 2,985,000$ 100,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 32,270$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 183 16,676$ 3,051,708$




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
4Spencer Martin11001.0000600102900000

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
171100000040400000000000110000004042481201310026166402954811100.00%20100.00%0172665.38%183354.55%81553.33%2216257126
Total Regular Season165765901248657650571823725064552992613883393406031277244332025761039161539203203150245199174717091687100465213621057254255011520.91%4389478.54%33072583452.66%2827530653.28%1457276152.77%407428323755120821691098
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