Monsters

GP: 6 | W: 1 | L: 4 | OTL: 1 | P: 3
GF: 17 | GA: 31 | PP%: 6.25% | PK%: 82.76%
GM : Patrick Auger | Morale : 50 | Team Overall : 63
Next Games #125 vs Marlies

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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 SP
1Cam Lund0X100.006838906479886863656261606362647750630
2Ryan Reaves0X100.008488766485717662505261596087811950630
3Nikita Pavlychev0X100.008653745995788557615856625569714050630
4Pierrick Dube0X100.005538786164867562646261606365674250610
5Joey Larson0X100.006541876074878459575562586165674250610
6Artem Shlaine0X100.006136955970788558605756555964665650590
7Jake Leschyshyn0X100.006338875772748556605558545667695750590
8Nikolas Matinpalo0X100.007539876786838162306354664868703650670
9Daniil Miromanov0X100.007540896888848164306958625169713650670
10Cade Webber0X100.008953825598627754305351614565675950630
11Gavin Bayreuther0X100.006840796177767156306054574872742750620
12Louie Belpedio0X100.006342696172718558306255574870725150620
13Braden Hache0X100.007751555786657956305554584663654950610
14Artem Grushnikov0X100.006952885478638253305152554563657250590
Scratches
TEAM AVERAGE100.00714681618076805945585759536869475062
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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
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8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Matt D. Murray100.00808883777978807978807968813650770
Scratches
TEAM AVERAGE100.0080888377797880797880796881365077
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Boughner62676568827766CAN5531,000,000$


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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")
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
1Pierrick DubeMonsters (Clb)RW65380203143332315.15%613021.78101390002191069.09%5500011.2200000111
2Jake LeschyshynMonsters (Clb)C6347140992872410.71%413522.59000680001190060.26%15100001.0300000101
3Nikolas MatinpaloMonsters (Clb)D6123-6120181314687.14%712120.3300000000030081.82%1100000.4900000010
4Braden HacheMonsters (Clb)D6022-625549109420.00%412320.650004140001200100.00%100000.3200100001
Team Total or Average2491120-11435794684205710.71%2151221.3410113320004441063.76%21800010.7800100223
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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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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
Team Total or Average0.0000.0000.000


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
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
Artem GrushnikovD232003-03-20No203 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Artem ShlaineC242002-03-07No165 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Braden HacheD232003-05-21No200 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Cade WebberD252001-01-05No212 Lbs6 ft7NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Cam LundC222004-06-07No195 Lbs6 ft2NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Daniil MiromanovD291997-07-11No207 Lbs6 ft4NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Gavin BayreutherD321994-05-12No196 Lbs6 ft1NoNoNo3UFAPro & Farm300,000$0$0$NoLink
Jake LeschyshynC271999-03-10No198 Lbs5 ft11NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Joey LarsonRW252001-03-27No185 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Louie BelpedioD301996-05-14No197 Lbs5 ft11NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt D. MurrayG281998-02-02No196 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink
Nikita PavlychevC291997-03-23No200 Lbs6 ft7NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Nikolas MatinpaloD281998-10-05No213 Lbs6 ft3NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Pierrick DubeRW252001-01-07No172 Lbs5 ft9NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ryan ReavesRW391987-01-20No225 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1527.27198 Lbs6 ft21.93366,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jake LeschyshynPierrick Dube40122
2Braden Hache30122
320122
4Jake LeschyshynPierrick Dube10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Nikolas Matinpalo30122
320122
4Braden Hache10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jake LeschyshynPierrick Dube60122
2Braden Hache40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Nikolas Matinpalo40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jake Leschyshyn60122
2Pierrick Dube40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Nikolas Matinpalo40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jake Leschyshyn6012260122
240122Nikolas Matinpalo40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jake Leschyshyn60122
2Pierrick Dube40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Nikolas Matinpalo40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jake LeschyshynPierrick Dube
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jake LeschyshynPierrick Dube
Extra Forwards
Normal PowerPlayPenalty Kill
Pierrick Dube, Jake Leschyshyn, Pierrick Dube, Jake Leschyshyn
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
Jake Leschyshyn, , Pierrick Dube, ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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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
63L3173047196228708313510
All Games
GPWLOTWOTL SOWSOLGFGA
61401001731
Home Games
GPWLOTWOTL SOWSOLGFGA
101000027
Visitor Games
GPWLOTWOTL SOWSOLGFGA
51301001524
Last 10 Games
WLOTWOTL SOWSOL
140100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1616.25%29582.76%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
64815109620
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8516551.52%8817251.16%459447.87%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
138100155386630


Last Played Games
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
9 - 2026-10-1712Monsters3Bears4LXBoxScore
10 - 2026-10-1828Monsters3Bears5LBoxScore
15 - 2026-10-2333Monsters7Checkers4WBoxScore
16 - 2026-10-2446Monsters2Checkers4LBoxScore
20 - 2026-10-2866Monsters0Americans7LBoxScore
23 - 2026-10-3186Americans7Monsters2LBoxScore
30 - 2026-11-07125Marlies-Monsters-
31 - 2026-11-08137Griffins-Monsters-
34 - 2026-11-11143Americans-Monsters-
36 - 2026-11-13149Monsters-Comets-
37 - 2026-11-14160Monsters-Crunch-
39 - 2026-11-16180Monsters-Comets-
41 - 2026-11-18184Marlies-Monsters-
43 - 2026-11-20194Monsters-Bruins-
45 - 2026-11-22216Monsters-Bruins-
51 - 2026-11-28243Admirals-Monsters-
52 - 2026-11-29254Admirals-Monsters-
55 - 2026-12-02265Monsters-Americans-
57 - 2026-12-04269Marlies-Monsters-
59 - 2026-12-06296Monsters-Griffins-
61 - 2026-12-08298Monsters-Admirals-
64 - 2026-12-11310Crunch-Monsters-
65 - 2026-12-12321Crunch-Monsters-
70 - 2026-12-17351Phantoms-Monsters-
72 - 2026-12-19367Phantoms-Monsters-
76 - 2026-12-23388Comets-Monsters-
77 - 2026-12-24397Comets-Monsters-
80 - 2026-12-27421Americans-Monsters-
86 - 2027-01-02442Griffins-Monsters-
88 - 2027-01-04456Monsters-Admirals-
89 - 2027-01-05461Monsters-Griffins-
91 - 2027-01-07469Griffins-Monsters-
93 - 2027-01-09481Monsters-Marlies-
94 - 2027-01-10495Monsters-Marlies-
99 - 2027-01-15511Rocket-Monsters-
100 - 2027-01-16526Rocket-Monsters-
106 - 2027-01-22561Monsters-Griffins-
107 - 2027-01-23569Monsters-Griffins-
111 - 2027-01-27593Wolves-Monsters-
112 - 2027-01-28600Wolves-Monsters-
114 - 2027-01-30616Monsters-Crunch-
120 - 2027-02-05648Bruins-Monsters-
121 - 2027-02-06665Bruins-Monsters-
127 - 2027-02-12680Monsters-Phantoms-
128 - 2027-02-13693Monsters-Penguins-
131 - 2027-02-16707Americans-Monsters-
135 - 2027-02-20736Monsters-Wolves-
136 - 2027-02-21748Monsters-Wolves-
139 - 2027-02-24762Monsters-Americans-
143 - 2027-02-28792Senators-Monsters-
144 - 2027-03-01802Senators-Monsters-
148 - 2027-03-05816Checkers-Monsters-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2027-03-06829Checkers-Monsters-
153 - 2027-03-10852Monsters-Marlies-
155 - 2027-03-12860Bears-Monsters-
156 - 2027-03-13872Bears-Monsters-
162 - 2027-03-19909Monsters-Stars-
163 - 2027-03-20920Monsters-Stars-
169 - 2027-03-26947Monsters-Rocket-
170 - 2027-03-27957Monsters-Rocket-
171 - 2027-03-28973Monsters-Senators-
174 - 2027-03-31984Monsters-Senators-
176 - 2027-04-02992Stars-Monsters-
177 - 2027-04-031005Stars-Monsters-
183 - 2027-04-091040Penguins-Monsters-
184 - 2027-04-101054Penguins-Monsters-
188 - 2027-04-141073Griffins-Monsters-
191 - 2027-04-171091Marlies-Monsters-
192 - 2027-04-181108Monsters-Marlies-
195 - 2027-04-211117Monsters-Americans-
197 - 2027-04-231128Monsters-Phantoms-
198 - 2027-04-241139Monsters-Penguins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance2,0001,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
35 3000 - 100.00% 74,800$74,800$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
127,170$ 55,000$ 55,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 6,549$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,618,000$ 175 5,302$ 927,850$




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
12825322021312921741184126120102015187644127100111114187541182925328242901238579251208258688101662505138418105338315.57%5727087.76%91707271062.99%1238224555.14%709116360.96%237217381629547947509
13764621011342421509238211200113115744138259010211277651105242417659112092786820700668676715147144598814065299517.96%4315487.47%61490244360.99%1204208657.72%659104563.06%213515611561528899478
147642220314427115611538231101012137766138191102132134805410327148475511101127775229907587477731757503112314523345416.17%4315687.01%41366241056.68%1321230557.31%640110957.71%204314781655527908469
147642220314427115611538231101012137766138191102132134805410327148475511101127775229907587477731757503112314523345416.17%4315687.01%41366241056.68%1321230557.31%640110957.71%204314781655527908469
147642220314427115611538231101012137766138191102132134805410327148475511101127775229907587477731757503112314523345416.17%4315687.01%41366241056.68%1321230557.31%640110957.71%204314781655527908469
1582343404325227179484121160111111980394113180321410899988227424651080877856235007557468211907583113714524056516.05%4536685.43%11490259557.42%1305235755.37%645113956.63%218115761808570980504
1582343404325227179484121160111111980394113180321410899988227424651080877856235007557468211907583113714524056516.05%4536685.43%11490259557.42%1305235755.37%645113956.63%218115761808570980504
16824425035322481608841201302321119833641241201211129775210724845570308089827122140767715713179353496013894577716.85%4064888.18%71469247859.28%1211226453.49%681113360.11%227616741741544943502
177231330242023521322361814013001171071036131901120118106127423541064539092746519800646688633183255482313793658021.92%3326979.22%31131211353.53%1039202751.26%560108751.52%192414161601469816425
1872254402100229296-6736112202100111147-3636142200000118149-315522940062911099646422560756758739239874083513862944314.63%3487179.60%21072214050.09%981208547.05%565111150.86%172112611811474789385
1970135303100174363-189368260200090173-83345270110084190-1063317432049400068485521190660741708275573767913002896522.49%2937873.38%3820207139.59%770216335.60%428115237.15%143810202003479766349
207295702211145351-206366290100073175-102363280121172176-1042714526440901054503815530498563483285882270512582593212.36%2997873.91%1647163339.62%719226031.81%371113532.69%13029062252502780330
21614001001731-141010000027-5513001001524-93173047109620196648151022870831351616.25%29582.76%08516551.52%8817251.16%459447.87%138100155386630
Total Regular Season92441639303225283028492564285461221194014101012142712411864631951990181518181422132399100728495128797711899113387077726497648685879387622408270821210017323455476816.86%490977384.25%45154992817355.01%138232693151.33%72281352553.44%2380217268213386307106965429
Playoff
122016400000491930108200000219121082000002810183249831320601218174660143156146405121392396141149.93%1661093.98%338167356.61%36566654.80%16827960.22%509338516168266131
13514000001012-2211000005323030000059-4210172700053295038263112245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230
141899000003743-61037000001026-16862000002717101837691060201610945201731271344371222623861071312.15%1161487.93%128158148.36%30161548.94%12625848.84%455313458143242118
Total Playoff43261700000967422221210000003638-221147000006036245296169265080333128101303543093119642887348572813211.39%3182990.88%4720139251.72%730144450.55%33461354.49%10737231104350570280