Monsters

GP: 36 | W: 4 | L: 31 | OTL: 1 | P: 9
GF: 75 | GA: 199 | PP%: 10.43% | PK%: 72.73%
GM : Patrick Auger | Morale : 50 | Team Overall : 64
Next Games #561 vs Griffins

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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
1Ryan Reaves0X100.008889736485717663576061625887782150640
2Jake Leschyshyn0X100.006538816372738262676059646266686450620
3Anthony Angello0XX100.008243745991748058635756615569714550620
4Dylan Gambrell0X100.006037886469798258686059625669715550620
5Pierrick Dube0X100.006037756264898461635961586264664350610
6Nikita Pavlychev0X100.008653715795747756655855595668704150610
7Jaycob Megna0X100.008372886295848258306057745173752950690
8Robert Bortuzzo0X100.007371696288816761306050764579763150670
9Nikolas Matinpalo0X100.007339876686788663306058655067693750660
10Ty Smith0X100.005938786567838066306867625565668050640
11Louie Belpedio0X100.006340666472808263306562645369715250640
12Cade Webber0X100.008953815898637056305452614564666050630
13Braden Hache0X100.007751505686646554305755594762644950600
14Kyle Masters0X100.005536935670636555305452534562646050560
Scratches
TEAM AVERAGE100.00725077618175776045595763536970485063
Filter Tips
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
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
1Jan Bednar100.00687167866766686766686763696050680
2Tristan Lennox100.00597268825857595857595863696250620
Scratches
1Hunter Shepard100.00778681777675777675777670845050750
TEAM AVERAGE100.0068767282676668676668676574575068
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Boughner63647068817568CAN5441,000,000$


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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")
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
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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
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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


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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
Anthony AngelloC/RW291996-03-06No210 Lbs6 ft5NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Braden HacheD222003-05-21No200 Lbs6 ft4NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Cade WebberD252001-01-05No212 Lbs6 ft7NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Dylan GambrellC291996-08-26No185 Lbs5 ft11NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Hunter ShepardG301995-11-07No215 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Jake LeschyshynC261999-03-10No198 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jan BednarG232002-08-26No200 Lbs6 ft4NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Jaycob MegnaD331992-12-10No214 Lbs6 ft6NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Kyle MastersD222003-04-09No177 Lbs6 ft0NoNoNo1ELCPro & Farm300,000$0$0$NoLink / NHL Link
Louie BelpedioD291996-05-14No197 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Nikita PavlychevC281997-03-23No200 Lbs6 ft7NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Nikolas MatinpaloD271998-10-05No211 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Pierrick DubeRW252001-01-07No172 Lbs5 ft9NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Robert BortuzzoD361989-03-18No206 Lbs6 ft4NoNoNo2UFAPro & Farm800,000$0$0$NoLink / NHL Link
Ryan ReavesRW381987-01-20No225 Lbs6 ft2NoNoNo1UFAPro & Farm400,000$0$0$NoLink / NHL Link
Tristan LennoxG232002-10-21No193 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Ty SmithD252000-03-24No180 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1727.65200 Lbs6 ft21.94420,588$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
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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")
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
369L675148223925177350228463800
All Games
GPWLOTWOTL SOWSOLGFGA
36231200175199
Home Games
GPWLOTWOTL SOWSOLGFGA
19216100045101
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1701510013098
Last 10 Games
WLOTWOTL SOWSOL
090001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1151210.43%1213372.73%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
29634128193326142
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
25181830.68%368130928.11%14557525.22%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
4993281286261380145


Last Played Games
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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")
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 - 2025-08-2312Monsters0Bears7LBoxScore
10 - 2025-08-2428Monsters1Bears8LBoxScore
15 - 2025-08-2933Monsters2Checkers5LBoxScore
16 - 2025-08-3046Monsters6Checkers5WXBoxScore
20 - 2025-09-0366Monsters1Americans3LBoxScore
23 - 2025-09-0686Americans7Monsters0LBoxScore
30 - 2025-09-13125Marlies3Monsters7WBoxScore
31 - 2025-09-14137Griffins7Monsters4LBoxScore
34 - 2025-09-17143Americans3Monsters2LBoxScore
36 - 2025-09-19149Monsters1Comets4LBoxScore
37 - 2025-09-20160Monsters3Crunch6LBoxScore
39 - 2025-09-22180Monsters2Comets7LBoxScore
41 - 2025-09-24184Marlies3Monsters6WBoxScore
43 - 2025-09-26194Monsters1Bruins6LBoxScore
45 - 2025-09-28216Monsters3Bruins10LBoxScore
51 - 2025-10-04243Admirals7Monsters3LBoxScore
52 - 2025-10-05254Admirals5Monsters2LBoxScore
55 - 2025-10-08265Monsters0Americans6LBoxScore
57 - 2025-10-10269Marlies3Monsters4WXBoxScore
59 - 2025-10-12296Monsters1Griffins4LBoxScore
61 - 2025-10-14298Monsters0Admirals6LBoxScore
64 - 2025-10-17310Crunch4Monsters0LBoxScore
65 - 2025-10-18321Crunch7Monsters3LBoxScore
70 - 2025-10-23351Phantoms4Monsters1LBoxScore
72 - 2025-10-25367Phantoms6Monsters2LBoxScore
76 - 2025-10-29388Comets5Monsters1LBoxScore
77 - 2025-10-30397Comets7Monsters1LBoxScore
80 - 2025-11-02421Americans8Monsters0LBoxScore
86 - 2025-11-08442Griffins5Monsters3LBoxScore
88 - 2025-11-10456Monsters3Admirals4LXXBoxScore
89 - 2025-11-11461Monsters3Griffins5LBoxScore
91 - 2025-11-13469Griffins5Monsters3LBoxScore
93 - 2025-11-15481Monsters1Marlies8LBoxScore
94 - 2025-11-16495Monsters2Marlies4LBoxScore
99 - 2025-11-21511Rocket6Monsters1LBoxScore
100 - 2025-11-22526Rocket6Monsters2LBoxScore
106 - 2025-11-28561Monsters-Griffins-
107 - 2025-11-29569Monsters-Griffins-
111 - 2025-12-03593Wolves-Monsters-
112 - 2025-12-04600Wolves-Monsters-
114 - 2025-12-06616Monsters-Crunch-
120 - 2025-12-12648Bruins-Monsters-
121 - 2025-12-13665Bruins-Monsters-
127 - 2025-12-19680Monsters-Phantoms-
128 - 2025-12-20693Monsters-Penguins-
131 - 2025-12-23707Americans-Monsters-
135 - 2025-12-27736Monsters-Wolves-
136 - 2025-12-28748Monsters-Wolves-
139 - 2025-12-31762Monsters-Americans-
143 - 2026-01-04792Senators-Monsters-
144 - 2026-01-05802Senators-Monsters-
148 - 2026-01-09816Checkers-Monsters-
149 - 2026-01-10829Checkers-Monsters-
153 - 2026-01-14852Monsters-Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16860Bears-Monsters-
156 - 2026-01-17872Bears-Monsters-
162 - 2026-01-23909Monsters-Stars-
163 - 2026-01-24920Monsters-Stars-
169 - 2026-01-30947Monsters-Rocket-
170 - 2026-01-31957Monsters-Rocket-
171 - 2026-02-01973Monsters-Senators-
174 - 2026-02-04984Monsters-Senators-
176 - 2026-02-06992Stars-Monsters-
177 - 2026-02-071005Stars-Monsters-
183 - 2026-02-131040Penguins-Monsters-
184 - 2026-02-141054Penguins-Monsters-
188 - 2026-02-181073Griffins-Monsters-
191 - 2026-02-211091Marlies-Monsters-
192 - 2026-02-221108Monsters-Marlies-
195 - 2026-02-251117Monsters-Americans-
197 - 2026-02-271128Monsters-Phantoms-
198 - 2026-02-281139Monsters-Penguins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance35,67917,837
Attendance PCT93.89%93.88%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
17 2817 - 93.89% 70,230$1,334,361$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
521,421$ 71,500$ 71,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 21,421$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,193,902$ 100 5,358$ 535,800$




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
20362310200175199-124192160100045101-5617015010013098-68975148223003326142925296341281917735022846381151210.43%1213372.73%025181830.68%368130928.11%14557525.22%4993281286261380145
Total Regular Season8824083630322227302762238138144321718001410101213971160237439191183018121718136512211449862762498277441088331099832741256732968447846082882276966921159616568439474717.00%470272384.62%44150182719355.23%133842580851.86%69571287154.05%2286216589202176029102295214
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