Monsters

GP: 50 | W: 25 | L: 23 | OTL: 2 | P: 52
GF: 172 | GA: 185 | PP%: 20.71% | PK%: 75.20%
GM : Pascal Simoneau | Morale : 75 | Team Overall : 58
Next Games #766 vs Moose

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# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Josh CurrieX100.005543886165797760545963586175685775620
2Valentin ZykovXX100.006445826378807562535861596469657375620
3Michael CarconeX100.005852826063878858565759545867646175600
4Jake HortonX100.006739805779787356635554585365685775590
5Landon FerraroXX100.005340785769726856605654575575686475580
6Jakub Lauko (R)X100.005245785968727158525457535660626775580
7Forward1 (R)XXX100.00111111111111111175120
8Mike ReillyX100.006839836677847864307457635073685375650
9Alex LintuniemiX100.007736915690939055305850594567646175610
10Mitchell Vande SompelX100.006436776070787359306257615563587375600
11Leon Gawanke (R)X100.005945886075838258306153564861635775600
12Luke GreenX100.006042865775737656305254584563647175590
13Zach PalmquistX100.005336905468939053305451524977695675580
14Shane HannaX100.006344645271778052305351585574675275570
Scratches
TEAM AVERAGE100.00573976556875735339545253506461577557
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Garret Sparks100.00757371847473757473757473775875660
2Felix Sandstrom100.00755250797473757473757465696675640
Scratches
TEAM AVERAGE100.0075636182747375747375746973627565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Van Ryn63736968605685CAN402625,000$


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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.
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")
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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
1Alex LintuniemiMonsters (CBJ)D501342553760213104138361019.42%96131426.30761374149000182300.00%000000.8400000902
2Jake HortonMonsters (CBJ)C501529448160123166164371139.15%1185917.191231143000003052.04%122600001.0201000324
3Landon FerraroMonsters (CBJ)C/RW5025184386042921994813012.56%1386017.21022943000005559.18%4900001.0000000173
4Leon GawankeMonsters (CBJ)D5052833120083798823555.68%6896919.401563582000077120.00%000000.6800000115
5Luke GreenMonsters (CBJ)D50626321240103529928726.06%7494118.8437104882000150110.00%000000.6800000223
6Josh CurrieMonsters (CBJ)RW241416303603081155581329.03%962325.98371022550002581053.66%4100100.9601000040
7Shane HannaMonsters (CBJ)D5031215-183801375127133011.11%7670514.1100000000044010.00%000000.4300000011
8Mitchell Vande SompelMonsters (CBJ)D361131441404138273193.70%4855615.4700053000078000.00%000000.5000000000
9Jakub LaukoMonsters (CBJ)C507613-20407611910032527.00%1655711.1501147000041247.63%80000010.4711000200
10Zach PalmquistMonsters (CBJ)D503710-178016484314266.98%6267913.600001500006000.00%000000.2900000001
11Forward1Monsters (CBJ)C/LW/RW50000-19002433010.00%054110.8300000000011007.50%4000000.0000000000
12Forward2Blue JacketsC/LW/RW25000-18001011020.00%029611.860000000003008.70%2300000.0000000000
Team Total or Average53592197289-64212089883410442927338.81%473890816.651530452094730004417151149.33%217900110.6513000181719
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Garret SparksMonsters (CBJ)50232220.9053.6728270117318180201.0006500372
2Felix SandstromMonsters (CBJ)52100.9123.8518700121370000.0000050000
Team Total or Average55252320.9053.6830140118519550201.00065050372


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alex LintuniemiD241995-09-23No231 Lbs6 ft3NoNoNo2RFAPro & Farm700,000$0$0$NoLink / NHL Link
Felix SandstromG231997-01-12No191 Lbs6 ft2NoNoNo1RFAPro & Farm792,500$0$0$NoLink / NHL Link
Forward1C/LW/RW241995-09-17 02:14:15Yes180 Lbs6 ft0NoNoNo1RFAPro & Farm500,000$0$0$No
Garret SparksG271993-06-28No201 Lbs6 ft3NoNoNo1RFAPro & Farm675,000$0$0$NoLink / NHL Link
Jake HortonC251994-11-19No187 Lbs5 ft11NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Jakub LaukoC202000-03-28Yes169 Lbs6 ft0NoNoNo2ELCPro & Farm786,667$0$0$NoLink / NHL Link
Josh CurrieRW271992-10-29No172 Lbs5 ft10NoNoNo3RFAPro & Farm687,500$0$0$NoLink / NHL Link
Landon FerraroC/RW291991-08-08No173 Lbs6 ft0NoNoNo2UFAPro & Farm975,000$0$0$NoLink / NHL Link
Leon GawankeD211999-05-31Yes186 Lbs6 ft1NoNoNo2ELCPro & Farm796,667$0$0$NoLink / NHL Link
Luke GreenD221998-01-12No188 Lbs6 ft1NoNoNo1ELCPro & Farm733,333$0$0$NoLink / NHL Link
Michael CarconeLW241996-05-19No170 Lbs5 ft9NoNoNo2RFAPro & Farm700,000$0$0$NoLink / NHL Link
Mike ReillyD271993-07-13No200 Lbs6 ft1NoNoNo2RFAPro & Farm725,000$0$0$NoLink / NHL Link
Mitchell Vande SompelD231997-02-11No194 Lbs5 ft10NoNoNo2RFAPro & Farm728,333$0$0$NoLink / NHL Link
Shane HannaD261994-05-02No194 Lbs5 ft11NoNoNo3RFAPro & Farm700,000$0$0$NoLink / NHL Link
Valentin ZykovLW/RW251995-05-15No220 Lbs6 ft0NoNoNo1RFAPro & Farm675,000$0$0$NoLink / NHL Link
Zach PalmquistD291990-12-09No180 Lbs5 ft11NoNoNo3UFAPro & Farm700,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1624.75190 Lbs6 ft01.88728,125$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Jake HortonLandon Ferraro30122
3Jakub LaukoForward120122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex Lintuniemi40122
2Leon GawankeLuke Green30122
3Zach PalmquistShane Hanna20122
4Alex Lintuniemi10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Jake HortonLandon Ferraro40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex Lintuniemi60122
2Leon GawankeLuke Green40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex Lintuniemi60122
2Leon GawankeLuke Green40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Alex Lintuniemi60122
240122Leon GawankeLuke Green40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex Lintuniemi60122
2Leon GawankeLuke Green40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alex Lintuniemi
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alex Lintuniemi
Extra Forwards
Normal PowerPlayPenalty Kill
Jakub Lauko, , Forward1Jakub Lauko, Forward1
Extra Defensemen
Normal PowerPlayPenalty Kill
Zach Palmquist, Shane Hanna, Leon GawankeZach PalmquistShane Hanna, Leon Gawanke
Penalty Shots
, , , , Jake Horton
Goalie
#1 : Garret Sparks, #2 : Felix Sandstrom
Custom OT Lines Forwards
, , , , Jake Horton, Landon Ferraro, Landon Ferraro, Jakub Lauko, , Forward1,
Custom OT Lines Defensemen
, Alex Lintuniemi, Leon Gawanke, Luke Green, Zach Palmquist


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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.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5052L317231048218331955575286125601
All Games
GPWLOTWOTL SOWSOLGFGA
5020234210172185
Home Games
GPWLOTWOTL SOWSOLGFGA
26121120108889
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2481222008496
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1402920.71%1253175.20%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
578577653315965435
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
846183146.20%921195447.13%38582646.61%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11047641284366629301


Last Played Games
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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 - 2020-10-0316Marlies2Monsters9WBoxScore
4 - 2020-10-0422Monsters4Penguins0WBoxScore
6 - 2020-10-0635Americans1Monsters3WBoxScore
10 - 2020-10-1059Gulls3Monsters2LBoxScore
11 - 2020-10-1169Monsters1Checkers8LBoxScore
15 - 2020-10-1594Stars3Monsters4WBoxScore
17 - 2020-10-17110Monsters6IceHogs3WBoxScore
18 - 2020-10-18120Sound Tigers2Monsters3WBoxScore
20 - 2020-10-20129Monsters4Marlies2WBoxScore
23 - 2020-10-23148Checkers5Monsters0LBoxScore
25 - 2020-10-25165Monsters0Phantoms4LBoxScore
29 - 2020-10-29189Condors5Monsters7WBoxScore
31 - 2020-10-31200Monsters3Rampage4LXBoxScore
32 - 2020-11-01212Heat4Monsters2LBoxScore
35 - 2020-11-04227Wolves2Monsters4WBoxScore
37 - 2020-11-06246Monsters2Roadrunners4LBoxScore
39 - 2020-11-08260Monsters5Eagles4WXBoxScore
42 - 2020-11-11273Monsters4Rocket6LBoxScore
45 - 2020-11-14297Rampage2Monsters4WBoxScore
49 - 2020-11-18322Rocket4Monsters5WXXBoxScore
51 - 2020-11-20337Griffins3Monsters0LBoxScore
53 - 2020-11-22352Monsters1Moose2LBoxScore
55 - 2020-11-24369Senators2Monsters1LBoxScore
57 - 2020-11-26384Phantoms7Monsters3LBoxScore
59 - 2020-11-28400Penguins4Monsters2LBoxScore
60 - 2020-11-29410Monsters4Sound Tigers2WBoxScore
63 - 2020-12-02429Roadrunners2Monsters4WBoxScore
65 - 2020-12-04444Wolf Pack2Monsters3WBoxScore
67 - 2020-12-06458Monsters7Thunderbirds6WBoxScore
69 - 2020-12-08469Monsters2Bears3LXBoxScore
72 - 2020-12-11490Monsters4Penguins6LBoxScore
74 - 2020-12-13501Monsters0Senators2LBoxScore
76 - 2020-12-15521Bears3Monsters4WBoxScore
77 - 2020-12-16529Monsters6Griffins5WBoxScore
79 - 2020-12-18541Reign8Monsters2LBoxScore
81 - 2020-12-20561Devils5Monsters6WXBoxScore
83 - 2020-12-22573Monsters3Sound Tigers5LBoxScore
87 - 2020-12-26585Monsters6Bears1WBoxScore
89 - 2020-12-28604IceHogs5Monsters4LBoxScore
91 - 2020-12-30619Thunderbirds3Monsters4WXBoxScore
93 - 2021-01-01627Monsters6Bruins5WBoxScore
95 - 2021-01-03642Barracuda3Monsters4WBoxScore
97 - 2021-01-05662Monsters5Reign7LBoxScore
98 - 2021-01-06674Monsters2Gulls3LBoxScore
100 - 2021-01-08688Monsters1Barracuda2LBoxScore
102 - 2021-01-10700Monsters4Wolves3WXBoxScore
105 - 2021-01-13719Bruins2Monsters3WBoxScore
107 - 2021-01-15733Checkers3Monsters2LBoxScore
109 - 2021-01-17751Devils4Monsters3LBoxScore
110 - 2021-01-18758Monsters4Wolf Pack9LBoxScore
113 - 2021-01-21766Moose-Monsters-
123 - 2021-01-31792Monsters-Americans-
124 - 2021-02-01807Monsters-Rocket-
126 - 2021-02-03818Thunderbirds-Monsters-
129 - 2021-02-06841Griffins-Monsters-
130 - 2021-02-07851Eagles-Monsters-
132 - 2021-02-09863Crunch-Monsters-
135 - 2021-02-12880Monsters-Americans-
136 - 2021-02-13893Wolf Pack-Monsters-
138 - 2021-02-15912Monsters-Devils-
140 - 2021-02-17920Monsters-Phantoms-
142 - 2021-02-19936Phantoms-Monsters-
144 - 2021-02-21955Monsters-Admirals-
146 - 2021-02-23967Senators-Monsters-
147 - 2021-02-24978Monsters-Wild-
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2021-02-27995Wild-Monsters-
152 - 2021-03-011013Comets-Monsters-
155 - 2021-03-041030Monsters-Heat-
158 - 2021-03-071058Monsters-Condors-
159 - 2021-03-081064Monsters-Comets-
163 - 2021-03-121088Penguins-Monsters-
165 - 2021-03-141105Admirals-Monsters-
167 - 2021-03-161118Monsters-Bruins-
170 - 2021-03-191141Bears-Monsters-
172 - 2021-03-211155Monsters-Marlies-
174 - 2021-03-231171Monsters-Devils-
175 - 2021-03-241178Monsters-Wolf Pack-
178 - 2021-03-271199Monsters-Crunch-
179 - 2021-03-281212Monsters-Stars-
181 - 2021-03-301226Sound Tigers-Monsters-
184 - 2021-04-021249Crunch-Monsters-
185 - 2021-04-031255Monsters-Checkers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance44,87925,475
Attendance PCT86.31%97.98%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
13 2706 - 90.20% 93,889$2,441,110$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,074,284$ 1,165,000$ 1,165,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 704,646$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,408,333$ 76 9,624$ 731,424$




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
178303903312480541-6139211402002266240263992501310214301-877348085613361001061981722361064679990023617761638150030112541.53%36517452.33%15653135448.23%592120649.09%851186945.53%1755108016387091317631
201982313503742232240-8411912014411261111541122302301106129-238523242665813085716927930909946903297486766120132535822.92%2844384.86%11373296346.34%1486311947.64%611126848.19%1955136519875891032513
202050202304210172185-13261211020108889-124812022008496-1252172310482015965435183357857765331195557528612561402920.71%1253175.20%0846183146.20%921195447.13%38582646.61%11047641284366629301
Total Regular Season21081970101264884966-8210652370545348044040104296005811404526-1222108841592247624592563122466987578213223981834729022182585476969421230.55%77424867.96%162872614846.71%2999627947.76%1847396346.61%481532104910166529801447