Monsters

GP: 23 | W: 6 | L: 16 | OTL: 1 | P: 13
GF: 66 | GA: 118 | PP%: 21.88% | PK%: 76.70%
GM : Patrick Auger | Morale : 50 | Team Overall : 62
Next Games #351 vs Phantoms

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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
1Chris Wagner0XX100.007840716473807862615963655875763550640
2Jake Leschyshyn0X100.006838846372757859816058645965676850620
3Anthony Angello0XX100.008244685891698057605655595468704650610
4Nikita Pavlychev0X100.008643735895716756595357625467694250610
5Ty Smith0X100.007437836870898166306762615564668150650
6Logan Day0X100.007039856079697656306154584670723550620
7Josiah Didier0X100.007241735681648455305354574571734950610
8Kyle Masters0X100.006137905670646253305550524561636050560
Scratches
TEAM AVERAGE100.00744078607973765848585760526870525062
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Michael Bullion100.00737066787271737271737267773750700
Scratches
TEAM AVERAGE100.0073706678727173727173726777375070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Boughner70677372797470CAN5351,000,000$


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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.
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
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# 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
1Ty SmithMonsters (Clb)D2391827-16395693276195311.84%4153023.0573105177011062100.00%000001.0200100220
2Jake LeschyshynMonsters (Clb)C23131023-11300496714736848.84%1145319.7215624491014762162.74%41600001.0100000222
3Chris WagnerMonsters (Clb)C/RW1511819-3100353978214514.10%1032021.3936918460000531057.36%40100011.1800000301
4Josiah DidierMonsters (Clb)D2351116-1852068416729457.46%4142418.444484065011047000.00%100000.7500000122
5Louie BelpedioColumbus JacketsD154812-1233528273872210.53%2132221.472352545000037000.00%000000.7500010002
6Kyle MastersMonsters (Clb)D152911-51752517199810.53%1823015.350114900002000.00%000000.9600001011
7Anthony AngelloMonsters (Clb)C/RW8213-51201772091510.00%315719.671016210000180144.44%1800000.3800000000
8Nikita PavlychevMonsters (Clb)C7123-6135121619595.26%210815.51000000000130052.87%8700000.5500010000
9Pierrick DubeColumbus JacketsRW2011100116020.00%13718.80011330000300100.00%400000.5300000000
10Logan DayMonsters (Clb)D1000000500000.00%177.380000000000000.00%000000.0000000000
Team Total or Average1324768115-752062030924747013528310.00%149259119.6418234117131712343154259.22%92700010.8900121878
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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
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# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Michael BullionMonsters (Clb)21100.8963.42123007670000.000020010
Team Total or Average21100.8963.42123007670000.000020010


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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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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
Anthony AngelloC/RW281996-03-06No210 Lbs6 ft5NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Chris WagnerC/RW331991-05-27No192 Lbs6 ft0NoNoNo1UFAPro & Farm400,001$0$0$NoLink / NHL Link
Jake LeschyshynC251999-03-10No198 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Josiah DidierD311993-04-08No202 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Kyle MastersD212003-04-09No177 Lbs6 ft0NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Logan DayD301994-09-19No209 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Michael BullionG271997-05-14No204 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nikita PavlychevC271997-03-23No200 Lbs6 ft7NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ty SmithD242000-03-24No180 Lbs5 ft11NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
927.33197 Lbs6 ft21.89422,222$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Jake Leschyshyn30122
320122
4Jake Leschyshyn10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty Smith40122
2Josiah Didier30122
320122
4Ty Smith10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Jake Leschyshyn40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty Smith60122
2Josiah Didier40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jake Leschyshyn60122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty Smith60122
2Josiah Didier40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Ty Smith60122
2Jake Leschyshyn40122Josiah Didier40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jake Leschyshyn60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ty Smith60122
2Josiah Didier40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ty Smith
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ty Smith
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , Josiah Didier, Josiah Didier
Penalty Shots
, Jake Leschyshyn, , ,
Goalie
#1 : , #2 :


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2313W26611317972081221925040800
All Games
GPWLOTWOTL SOWSOLGFGA
23516110066118
Home Games
GPWLOTWOTL SOWSOLGFGA
104600003044
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1311011003674
Last 10 Games
WLOTWOTL SOWSOL
370000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
962121.88%1032476.70%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
23326122242721171
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
34368550.07%30467345.17%18139645.71%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
531391607150244117


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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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 - 2024-09-2412Monsters3Bears2WXBoxScore
10 - 2024-09-2528Monsters2Bears5LBoxScore
15 - 2024-09-3033Monsters4Checkers5LXBoxScore
16 - 2024-10-0146Monsters3Checkers5LBoxScore
20 - 2024-10-0566Monsters1Americans8LBoxScore
23 - 2024-10-0886Americans4Monsters0LBoxScore
30 - 2024-10-15125Marlies3Monsters6WBoxScore
31 - 2024-10-16137Griffins5Monsters3LBoxScore
34 - 2024-10-19143Americans3Monsters2LBoxScore
36 - 2024-10-21149Monsters2Comets3LBoxScore
37 - 2024-10-22160Monsters7Crunch4WBoxScore
39 - 2024-10-24180Monsters0Comets7LBoxScore
41 - 2024-10-26184Marlies6Monsters4LBoxScore
43 - 2024-10-28194Monsters4Bruins6LBoxScore
45 - 2024-10-30216Monsters1Bruins6LBoxScore
51 - 2024-11-05243Admirals6Monsters1LBoxScore
52 - 2024-11-06254Admirals7Monsters0LBoxScore
55 - 2024-11-09265Monsters1Americans6LBoxScore
57 - 2024-11-11269Marlies4Monsters6WBoxScore
59 - 2024-11-13296Monsters3Griffins8LBoxScore
61 - 2024-11-15298Monsters5Admirals9LBoxScore
64 - 2024-11-18310Crunch4Monsters5WBoxScore
65 - 2024-11-19321Crunch2Monsters3WBoxScore
70 - 2024-11-24351Phantoms-Monsters-
72 - 2024-11-26367Phantoms-Monsters-
76 - 2024-11-30388Comets-Monsters-
77 - 2024-12-01397Comets-Monsters-
80 - 2024-12-04421Americans-Monsters-
86 - 2024-12-10442Griffins-Monsters-
88 - 2024-12-12456Monsters-Admirals-
89 - 2024-12-13461Monsters-Griffins-
91 - 2024-12-15469Griffins-Monsters-
93 - 2024-12-17481Monsters-Marlies-
94 - 2024-12-18495Monsters-Marlies-
99 - 2024-12-23511Rocket-Monsters-
100 - 2024-12-24526Rocket-Monsters-
106 - 2024-12-30561Monsters-Griffins-
107 - 2024-12-31569Monsters-Griffins-
111 - 2025-01-04593Wolves-Monsters-
112 - 2025-01-05600Wolves-Monsters-
114 - 2025-01-07616Monsters-Crunch-
120 - 2025-01-13648Bruins-Monsters-
121 - 2025-01-14665Bruins-Monsters-
127 - 2025-01-20680Monsters-Phantoms-
128 - 2025-01-21693Monsters-Penguins-
131 - 2025-01-24707Americans-Monsters-
135 - 2025-01-28736Monsters-Wolves-
136 - 2025-01-29748Monsters-Wolves-
139 - 2025-02-01762Monsters-Americans-
143 - 2025-02-05792Senators-Monsters-
144 - 2025-02-06802Senators-Monsters-
148 - 2025-02-10816Checkers-Monsters-
149 - 2025-02-11829Checkers-Monsters-
153 - 2025-02-15852Monsters-Marlies-
155 - 2025-02-17860Bears-Monsters-
156 - 2025-02-18872Bears-Monsters-
Trade Deadline --- Trades can’t be done after this day is simulated!
162 - 2025-02-24909Monsters-Stars-
163 - 2025-02-25920Monsters-Stars-
169 - 2025-03-03947Monsters-Rocket-
170 - 2025-03-04957Monsters-Rocket-
171 - 2025-03-05973Monsters-Senators-
174 - 2025-03-08984Monsters-Senators-
176 - 2025-03-10992Stars-Monsters-
177 - 2025-03-111005Stars-Monsters-
183 - 2025-03-171040Penguins-Monsters-
184 - 2025-03-181054Penguins-Monsters-
188 - 2025-03-221073Griffins-Monsters-
191 - 2025-03-251091Marlies-Monsters-
192 - 2025-03-261108Monsters-Marlies-
195 - 2025-03-291117Monsters-Americans-
197 - 2025-03-311128Monsters-Phantoms-
198 - 2025-04-011139Monsters-Penguins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance18,8819,168
Attendance PCT94.41%91.68%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
26 2805 - 93.50% 70,255$702,552$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
351,047$ 38,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 14,372$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,826,635$ 132 5,216$ 688,512$




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
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
19235160110066118-521046000003044-1413110011003674-3813661131790027211717202332612224812219250408962121.88%1032476.70%234368550.07%30467345.17%18139645.71%531391607150244117
Total Regular Season565280217018171716181014463642811441060897789969820128413611101081099117481636631810323550458582771555547916401233543654205208136324083750010682301351817.19%307645885.11%34100681757457.29%86031604253.63%4640818356.70%151871109912417381365303392
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