Login

Monsters
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : | Morale : 50 | Team Overall : 73
Next Games #6 vs Marlies
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Marlies
0-0-0, 0pts
2023-05-07
Monsters
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Monsters
0-0-0, 0pts
2023-05-09
Senators
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Monsters
0-0-0, 0pts
2023-05-10
Bruins
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Team Leaders

Team Stats
Team Info

General Manager
DivisionMetropolitan Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity5,000
Attendance
Season Tickets5,000


Roster Info

Pro Team32
Farm Team18
Contract Limit50 / 99
Prospects28


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
1Alexandre Texier (R)0X100.005953938183669485457672547985790508002321,525,000$
2Mathieu Olivier0X100.00765685808150658440737159788478050800261750,000$
3Kent Johnson (R)0X100.00575197818460558547767352798579050800201925,000$
4Mikael Pyyhtia (R)0X100.00575591808355558640807047788678050790213897,500$
5James Malatesta (R)0X100.00855294818244558340747238788378050780203841,666$
6Trey Fix-Wolansky (R)0X100.00635198788251558440727347798479050780241750,000$
7Brendan Gaunce0XX100.00675296778149558366737144778377050770291762,500$
8Carson Meyer (R)0X100.00765296788041558240727042768276050760251750,000$
9Owen Sillinger (R)0X100.00476681727685987765606740722540050720251750,000$
10Roman Ahcan (R)0X100.00466582717582957636576740712540050710241750,000$
11David Jiricek0X100.00615393778058558540737058788578050800192950,000$
12Jake Christiansen (R)0X100.00605197778051558440736950778477050780231925,000$
13Stanislav Svozil (R)0X100.00455983727667777736596646722540050720203825,000$
14Marcus Bjork0X100.00465683727660697736596749722540050720251925,000$
15Corson Ceulemans (R)0X100.00463782737658457736616740722540050710201750,000$
16Cole Clayton (R)0X100.00465482717558647636586746712540050700231750,000$
17Billy Sweezey0X100.00485879707566767536566641712540050700271762,500$
Scratches
1Justin Pearson0X100.00456383717578907636576740712540050700251750,000$
2Luca Del Bel Belluz0X100.00455984727668797765606740722540050700193891,666$
3Tyler Angle (R)0X100.00456383717578907665576740712540050700221850,833$
4Josh Dunne (R)0X100.00466382717576887665576740712540050700241874,125$
5Jake Gaudet0X100.00504075727658457765586740722540050690271750,000$
6Stefan Matteau0X100.00503876727758457665586740722540050690291750,000$
7Hunter McKown0X100.00455783727662727765586740722540050690202950,000$
8Cameron Butler0X100.00485679717560697636566640712540050680213858,333$
9Alex Whelan (R)0X100.00455184717658577665576740712540050680251750,000$
10Jakub Zboril0X100.004653827175586276365866407125400506902611,137,500$
11Samuel Knazko (R)0X100.00455584717559687636586640712540050690202847,500$
TEAM AVERAGE100.0053548674786167794764684474465405073
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
1Daniil Tarasov (R)0100.00705558736567797265786927560507803221,050,000$
2Jet Greaves (R)0100.0065555365676579687859732550050770221758,333$
Scratches
1Spencer Martin0100.0067555368656571695875642861050740281762,500$
2Pavel Cajan0100.0063555966666066556173622555050710201750,000$
TEAM AVERAGE100.006655566866647466667167265605075
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday 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 RemainingSalary 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
Alex WhelanMonsters (CBJ)RW251997-07-20Yes212 Lbs6 ft0NoNoAssign ManuallyNoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link / NHL Link
Alexandre TexierMonsters (CBJ)C231999-09-13Yes186 Lbs6 ft1NoNoAssign ManuallyNoNo22024-06-01FalseFalsePro & Farm1,525,000$1,525,000$0$0$No1,525,000$--------1,525,000$--------No--------Link
Billy SweezeyMonsters (CBJ)D271996-02-06No206 Lbs6 ft1NoNoAssign ManuallyNoNo1FalseFalsePro & Farm762,500$762,500$0$0$No---------------------------Link / NHL Link
Brendan GaunceMonsters (CBJ)C/LW291994-03-25No219 Lbs6 ft3NoNoAssign ManuallyNoNo1FalseFalsePro & Farm762,500$762,500$0$0$No---------------------------Link / NHL Link
Cameron ButlerMonsters (CBJ)RW212002-06-09No210 Lbs6 ft4NoNoAssign ManuallyNoNo32024-06-01FalseFalsePro & Farm858,333$858,333$0$0$No858,333$858,333$-------858,333$858,333$-------NoNo-------Link
Carson MeyerMonsters (CBJ)RW251997-08-18Yes184 Lbs5 ft11NoNoAssign ManuallyNoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link / NHL Link
Cole ClaytonMonsters (CBJ)D232000-02-29Yes209 Lbs6 ft2NoNoAssign ManuallyNoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link / NHL Link
Corson CeulemansMonsters (CBJ)D202003-05-05Yes198 Lbs6 ft2NoNoAssign ManuallyNoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link
Daniil TarasovMonsters (CBJ)G321991-06-20Yes185 Lbs6 ft0NoNoAssign ManuallyNoNo2FalseFalsePro & Farm1,050,000$1,050,000$0$0$No1,050,000$--------1,050,000$--------No--------Link / NHL Link
David JiricekMonsters (CBJ)D192003-11-28No199 Lbs6 ft4NoNoAssign ManuallyNoNo2FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Link
Hunter McKownMonsters (CBJ)C202002-08-18No205 Lbs6 ft1NoNoAssign ManuallyNoNo2FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Link
Jake ChristiansenMonsters (CBJ)D231999-09-12Yes193 Lbs6 ft0NoNoAssign ManuallyNoNo1FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Link / NHL Link
Jake GaudetMonsters (CBJ)C271996-06-18No201 Lbs6 ft2NoNoAssign ManuallyNoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link / NHL Link
Jakub ZborilMonsters (CBJ)D261997-02-21No201 Lbs6 ft1NoNoAssign ManuallyNoNo1FalseFalsePro & Farm1,137,500$1,137,500$0$0$No---------------------------Link / NHL Link
James MalatestaMonsters (CBJ)LW202003-05-31Yes191 Lbs5 ft9NoNoAssign ManuallyNoNo32024-06-01FalseFalsePro & Farm841,666$841,666$0$0$No841,666$841,666$-------841,666$841,666$-------NoNo-------Link
Jet GreavesMonsters (CBJ)G222001-03-30Yes184 Lbs6 ft0NoNoAssign ManuallyNoNo1FalseFalsePro & Farm758,333$758,333$0$0$No---------------------------Link / NHL Link
Josh DunneMonsters (CBJ)C241998-12-08Yes211 Lbs6 ft4NoNoAssign ManuallyNoNo1FalseFalsePro & Farm874,125$874,125$0$0$No---------------------------Link / NHL Link
Justin PearsonMonsters (CBJ)LW251998-05-17No185 Lbs6 ft1NoNoAssign ManuallyNoNo12024-06-02FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link
Kent JohnsonMonsters (CBJ)C202002-10-18Yes175 Lbs6 ft0NoNoAssign ManuallyNoNo1FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Link
Luca Del Bel BelluzMonsters (CBJ)C192003-11-10No184 Lbs6 ft1NoNoAssign ManuallyNoNo32024-06-01FalseFalsePro & Farm891,666$891,666$0$0$No891,666$891,666$-------891,666$891,666$-------NoNo-------Link
Marcus BjorkMonsters (CBJ)D251997-11-24No211 Lbs6 ft4NoNoAssign ManuallyNoNo1FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Link
Mathieu OlivierMonsters (CBJ)RW261997-02-11No217 Lbs6 ft1NoNoAssign ManuallyNoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link / NHL Link
Mikael PyyhtiaMonsters (CBJ)LW212001-12-17Yes166 Lbs6 ft0NoNoAssign ManuallyNoNo32024-06-01FalseFalsePro & Farm897,500$897,500$0$0$No897,500$897,500$-------897,500$897,500$-------NoNo-------Link
Owen SillingerMonsters (CBJ)C251997-09-23Yes183 Lbs5 ft10NoNoAssign ManuallyNoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link / NHL Link
Pavel CajanMonsters (CBJ)G202002-10-13No176 Lbs6 ft2NoNoAssign ManuallyNoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link
Roman AhcanMonsters (CBJ)LW241999-03-24Yes170 Lbs5 ft9NoNoAssign ManuallyNoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link / NHL Link
Samuel KnazkoMonsters (CBJ)D202002-08-07Yes198 Lbs6 ft1NoNoAssign ManuallyNoNo2FalseFalsePro & Farm847,500$847,500$0$0$No847,500$--------847,500$--------No--------Link
Spencer MartinMonsters (CBJ)G281995-06-08No191 Lbs6 ft3NoNoAssign ManuallyNoNo1FalseFalsePro & Farm762,500$762,500$0$0$No---------------------------Link / NHL Link
Stanislav SvozilMonsters (CBJ)D202003-01-17Yes183 Lbs6 ft0NoNoAssign ManuallyNoNo32024-06-01FalseFalsePro & Farm825,000$825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Link
Stefan MatteauMonsters (CBJ)LW291994-02-23No208 Lbs6 ft2NoNoAssign ManuallyNoNo12024-06-02FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link
Trey Fix-WolanskyMonsters (CBJ)RW241999-05-26Yes191 Lbs5 ft7NoNoAssign ManuallyNoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Link / NHL Link
Tyler AngleMonsters (CBJ)C222000-09-30Yes166 Lbs5 ft10NoNoAssign ManuallyNoNo1FalseFalseFarm Only850,833$850,833$0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3223.56194 Lbs6 ft11.47853,749$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikael PyyhtiaAlexandre TexierMathieu Olivier30122
2James MalatestaKent JohnsonTrey Fix-Wolansky30122
3Roman AhcanBrendan GaunceCarson Meyer20122
4Mathieu OlivierOwen SillingerAlexandre Texier20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1David JiricekJake Christiansen30122
2Stanislav SvozilMarcus Bjork30122
3Corson CeulemansCole Clayton20122
4Billy SweezeyDavid Jiricek20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikael PyyhtiaAlexandre TexierMathieu Olivier50122
2James MalatestaKent JohnsonTrey Fix-Wolansky50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1David JiricekJake Christiansen50122
2Stanislav SvozilMarcus Bjork50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mathieu OlivierAlexandre Texier50122
2Kent JohnsonMikael Pyyhtia50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1David JiricekJake Christiansen50122
2Stanislav SvozilMarcus Bjork50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mathieu Olivier50122David JiricekJake Christiansen50122
2Alexandre Texier50122Stanislav SvozilMarcus Bjork50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mathieu OlivierAlexandre Texier50122
2Kent JohnsonMikael Pyyhtia50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1David JiricekJake Christiansen50122
2Stanislav SvozilMarcus Bjork50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mikael PyyhtiaAlexandre TexierMathieu OlivierDavid JiricekJake Christiansen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mikael PyyhtiaAlexandre TexierMathieu OlivierDavid JiricekJake Christiansen
Extra Forwards
Normal PowerPlayPenalty Kill
Brendan Gaunce, Carson Meyer, Owen SillingerBrendan Gaunce, Carson MeyerOwen Sillinger
Extra Defensemen
Normal PowerPlayPenalty Kill
Corson Ceulemans, Cole Clayton, Billy SweezeyCorson CeulemansCole Clayton, Billy Sweezey
Penalty Shots
Mathieu Olivier, Alexandre Texier, Kent Johnson, Mikael Pyyhtia, Trey Fix-Wolansky
Goalie
#1 : Daniil Tarasov, #2 : Jet Greaves
Custom OT Lines Forwards
Mathieu Olivier, Alexandre Texier, Kent Johnson, Mikael Pyyhtia, Trey Fix-Wolansky, James Malatesta, James Malatesta, Brendan Gaunce, Carson Meyer, Owen Sillinger, Roman Ahcan
Custom OT Lines Defensemen
David Jiricek, Jake Christiansen, Stanislav Svozil, Marcus Bjork, Corson Ceulemans


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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
1 - 2023-05-076Marlies-Monsters-
3 - 2023-05-0916Monsters-Senators-
4 - 2023-05-1023Monsters-Bruins-
6 - 2023-05-1249Crunch-Monsters-
11 - 2023-05-1773Gulls-Monsters-
13 - 2023-05-1996Checkers-Monsters-
15 - 2023-05-21109Monsters-Senators-
16 - 2023-05-22119Monsters-Penguins-
20 - 2023-05-26139Islanders-Monsters-
22 - 2023-05-28155Monsters-Islanders-
27 - 2023-06-02172Monsters-Wolves-
29 - 2023-06-04182Wolf Pack-Monsters-
32 - 2023-06-07198Marlies-Monsters-
35 - 2023-06-10219Monsters-Rocket-
36 - 2023-06-11235Comets-Monsters-
38 - 2023-06-13248Monsters-Americans-
42 - 2023-06-17267Moose-Monsters-
45 - 2023-06-20292Penguins-Monsters-
47 - 2023-06-22313Monsters-Roadrunners-
48 - 2023-06-23327Reign-Monsters-
54 - 2023-06-29349Monsters-Stars-
55 - 2023-06-30361Gulls-Monsters-
59 - 2023-07-04388Bruins-Monsters-
61 - 2023-07-06405Monsters-Wolf Pack-
63 - 2023-07-08418Eagles-Monsters-
65 - 2023-07-10437Monsters-Gulls-
66 - 2023-07-11449Islanders-Monsters-
70 - 2023-07-15473Monsters-Reign-
72 - 2023-07-17484Crunch-Monsters-
73 - 2023-07-18493Monsters-Bruins-
75 - 2023-07-20512Monsters-Bears-
77 - 2023-07-22526Roadrunners-Monsters-
81 - 2023-07-26545Monsters-Griffins-
82 - 2023-07-27557Stars-Monsters-
87 - 2023-08-01582Wolves-Monsters-
89 - 2023-08-03600Monsters-Canucks-
90 - 2023-08-04612Barracuda-Monsters-
93 - 2023-08-07624Monsters-Islanders-
95 - 2023-08-09644Heat-Monsters-
97 - 2023-08-11659Monsters-Moose-
101 - 2023-08-15675Americans-Monsters-
104 - 2023-08-18704Rocket-Monsters-
106 - 2023-08-20719Monsters-Silver Knights-
108 - 2023-08-22737Marlies-Monsters-
110 - 2023-08-24754Monsters-Rocket-
112 - 2023-08-26764Monsters-Wolves-
114 - 2023-08-28773Checkers-Monsters-
116 - 2023-08-30792Monsters-Bruins-
117 - 2023-08-31802Wolf Pack-Monsters-
120 - 2023-09-03821Monsters-Senators-
123 - 2023-09-06834Canucks-Monsters-
124 - 2023-09-07850Monsters-Barracuda-
127 - 2023-09-10867Wild-Monsters-
128 - 2023-09-11880Monsters-Penguins-
131 - 2023-09-14894Monsters-Condors-
132 - 2023-09-15907Thunderbirds-Monsters-
135 - 2023-09-18927Monsters-Thunderbirds-
136 - 2023-09-19939IceHogs-Monsters-
137 - 2023-09-20952Monsters-Americans-
141 - 2023-09-24970Monsters-Admirals-
142 - 2023-09-25976Firebirds-Monsters-
145 - 2023-09-28994Monsters-Firebirds-
146 - 2023-09-291007Senators-Monsters-
148 - 2023-10-011026Admirals-Monsters-
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2023-10-031042Monsters-Checkers-
152 - 2023-10-051061Monsters-Phantoms-
153 - 2023-10-061064Monsters-IceHogs-
154 - 2023-10-071078Condors-Monsters-
156 - 2023-10-091097Monsters-Marlies-
157 - 2023-10-101106Silver Knights-Monsters-
159 - 2023-10-121121Monsters-Phantoms-
162 - 2023-10-151138Comets-Monsters-
164 - 2023-10-171156Monsters-Eagles-
166 - 2023-10-191168Phantoms-Monsters-
170 - 2023-10-231195Bears-Monsters-
172 - 2023-10-251203Monsters-Comets-
176 - 2023-10-291230Bears-Monsters-
177 - 2023-10-301236Monsters-Heat-
182 - 2023-11-041262Griffins-Monsters-
186 - 2023-11-081284Griffins-Monsters-
187 - 2023-11-091290Monsters-Crunch-
188 - 2023-11-101297Monsters-Wild-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 27,319,952$ 27,319,952$ 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$ 190 143,789$ 27,319,910$




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