Penguins

GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 23 | GA: 6 | PP%: 26.32% | PK%: 95.00%
GM : Maxyme Roy | Morale : 50 | Team Overall : 63
Next Games #62 vs Bears

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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
1Marco Kasper0X100.007246857274868871756768706661658750680
2Beck Malenstyn0XX100.008443896785809064596160856367684750680
3Matias Maccelli0XX100.005834957469838676587567657466685950680
4Alex Nylander0XXX100.006738936978918668596270637167697450670
5John Leonard0X100.006337906672938764616365626668694250650
6Patrick Brown0XX100.008138906381868362726458675973772650650
7Bradly Nadeau0X100.006137836768847266626764636861638050640
8Isak Rosen0X100.006036956670868765566263616662648450640
9Max Sasson0X100.006437876374848564716561606365674250640
10Antonio Stranges0X100.005737896566918063646261646663655850630
11Vasily Ponomarev0X100.005937826769788065736360626763647050630
12Wyatt Bongiovanni0X100.006438826273917959585764586166684250620
13Michael Kesselring0X100.007259706892858967307564695365684750700
14Henry Thrun0X100.007142866982888466306860675264666050680
15Egor Zamula0X100.006237916783878466307361635465664250670
16Matt Grzelcyk0X100.006636896865908767307754665175714950670
17Jordan Harris0X100.006434906670867663307158725266676350660
18Ronnie Attard0X100.007542716285838461306355674866686250660
19Spencer Stastney0X100.006136956471838163306559685065675550650
20Connor Carrick0X100.006143676470948563306259575071734550640
21Isaiah George0X100.006537946677837262306359645061626350640
22Yan Kuznetsov0X100.007240855888778557305655594763657150630
Scratches
1Nick Abruzzese0X100.006036936669808764716358576066685650620
2Andre Lee0X100.007942796291757960555958615765664750620
3Martin Chromiak0X100.006337906172848658626059576163655750610
4Parker Ford0X100.006538746168858259615863576665674250610
5Samu Tuomaala0X100.005637896267828161666459576162647450610
6Wilmer Skoog0X100.007140805980868257635660585766684250610
7Danila Klimovich0X100.007242736081907659575561586362647450610
8Rhett Gardner0X100.007342685885778357715556595469714850610
9Chaz Lucius0X100.006537916274786759696155585662648350600
10Braeden Bowman0X100.006938945778737259626058565962644550600
11Niko Huuhtanen0X100.007442725983816956615758595662644950600
12Roman Ahcan0X100.006338785863788257565559545766684250590
13Bryce McConnell-Barker0X100.006739845776677256595455585461636550580
14Chase Stillman0X100.006541705874778257535556545862647950580
15Riley Kidney0X100.006138805869718357635654535562646850580
16Gleb Trikozov0X100.007238945781776256545255535861636850570
17Josh Filmon0X100.005936945369636152555150545361634950540
18Calen Addison0X100.005840716567738563306654564865676850610
19Mac Hollowell0X100.006339726463758262306752544767695150610
20Philip Kemp0X100.006940755784658358305355594766684750610
21Ty Nelson0X100.005539796468787363306154564761636750600
22Peter DiLiberatore0X100.005537795764706856305554514665674750570
TEAM AVERAGE100.00663984637581806251625961576566585063
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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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Spencer Knight100.00838783848281838281838265718350790
2Parker Gahagen100.00757873797473757473757472862750730
Scratches
TEAM AVERAGE100.0079837882787779787779786979555076
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Marco Sturm73717265716680DEU4651,000,000$


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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 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
1Jordan HarrisPenguins (Pit)D42796600485525.00%28220.52134614101112000.00%000002.1900000001
2Matias MaccelliPenguins (Pit)LW/RW44376204101351630.77%09624.240001141012181054.17%4800001.4400000110
3Bradly NadeauPenguins (Pit)LW424642038142914.29%07719.45123313011191075.00%400001.5400000002
4John LeonardPenguins (Pit)LW433672023142221.43%09523.861013150112200033.33%900001.2600000101
5Marco KasperPenguins (Pit)C433634069631750.00%18220.53123313000092062.65%8300001.4600000010
6Patrick BrownPenguins (Pit)C/RW42353207073628.57%16616.530112130000000100.00%400001.5100000100
7Antonio StrangesPenguins (Pit)LW431432012136523.08%05914.84000000000100100.00%200001.3500000010
8Isak RosenPenguins (Pit)RW422430024144614.29%05914.9900021000000175.00%800001.3300000100
9Spencer StastneyPenguins (Pit)D4044420214220.00%36015.090000002216000.00%000001.3300000000
10Beck MalenstynPenguins (Pit)LW/RW413440011612268.33%06917.33011414000000073.33%7500001.1500000010
11Henry ThrunPenguins (Pit)D4033500335120.00%410025.03000315000017000.00%000000.6000000000
12Ronnie AttardPenguins (Pit)D41234403443825.00%58521.33101313000016000.00%000000.7000000000
13Isaiah GeorgePenguins (Pit)D4022260620000.00%15313.470000000000000.00%000000.7400000000
14Michael KesselringPenguins (Pit)D40225801395130.00%49523.78011215000112000.00%000000.4200000000
15Max SassonPenguins (Pit)C40113406411470.00%05714.4000000000000059.62%5200000.3500000000
16Alex NylanderPenguins (Pit)C/LW/RW4000000100000.00%061.7000000000060050.00%800000.0000000000
17Connor CarrickPenguins (Pit)D4000000000000.00%020.720000000002000.00%000000.0000000000
18Vasily PonomarevPenguins (Pit)C4000-100200000.00%061.5100000000000083.33%600000.0000000000
Team Total or Average72234366614407269130439417.69%21115716.07510153214624681354163.88%29900001.1400000444
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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
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
1Spencer KnightPenguins (Pit)44000.9211.50240016760000.000040000
Team Total or Average44000.9211.50240016760000.000040000


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 Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alex NylanderC/LW/RW271998-03-02No205 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Andre LeeLW252000-07-26No206 Lbs6 ft5NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Antonio StrangesLW232002-02-05No168 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Beck MalenstynLW/RW271998-02-04No209 Lbs6 ft3NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Bradly NadeauLW202005-05-05No172 Lbs5 ft11NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Braeden BowmanRW222003-06-26No205 Lbs6 ft1NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Bryce McConnell-BarkerC212004-06-04No191 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Calen AddisonD252000-04-11No173 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Chase StillmanRW222003-03-19No185 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Chaz LuciusC222003-05-02No185 Lbs6 ft1NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Connor CarrickD311994-04-13No198 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Danila KlimovichRW222003-01-09No202 Lbs6 ft2NoNoNo2ELCPro & Farm500,000$0$0$NoLink / NHL Link
Egor ZamulaD252000-03-30No200 Lbs6 ft3NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Gleb TrikozovLW212004-08-12No201 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Henry ThrunD242001-03-12No210 Lbs6 ft2NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Isaiah GeorgeD212004-02-15No196 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Isak RosenRW222003-03-15No180 Lbs6 ft0NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
John LeonardLW271998-08-07No196 Lbs5 ft11NoNoNo4UFAPro & Farm300,000$0$0$NoLink / NHL Link
Jordan HarrisD252000-07-07No187 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Josh FilmonLW212004-03-18No158 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Mac HollowellD261998-09-26No170 Lbs5 ft9NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Marco KasperC212004-04-08No183 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Martin ChromiakRW232002-08-20No187 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Matias MaccelliLW/RW242000-10-14No185 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Matt GrzelcykD311994-01-05No180 Lbs5 ft10NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Max SassonC252000-09-05No181 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Michael KesselringD252000-01-13No215 Lbs6 ft5NoNoNo4RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Nick AbruzzeseLW261999-06-04No183 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Niko HuuhtanenRW222003-06-26No198 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Parker FordRW252000-07-20No181 Lbs5 ft9NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Parker GahagenG321993-05-17No195 Lbs6 ft2NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Patrick BrownC/RW331992-05-29No218 Lbs6 ft1NoNoNo1UFAPro & Farm801,000$0$0$NoLink / NHL Link
Peter DiLiberatoreD252000-03-31No160 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Philip KempD261999-02-12No202 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Rhett GardnerC291996-02-28No210 Lbs6 ft3NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Riley KidneyC222003-03-25No181 Lbs5 ft11NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Roman AhcanLW261999-03-24No170 Lbs5 ft9NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ronnie AttardD261999-03-20No208 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Samu TuomaalaRW222003-01-08No174 Lbs5 ft11NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Spencer KnightG242001-04-19No191 Lbs6 ft3NoNoNo1RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Spencer StastneyD252000-01-04No184 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ty NelsonD212004-03-30No195 Lbs5 ft9NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Vasily PonomarevC232002-03-13No180 Lbs5 ft10NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Wilmer SkoogC261999-07-17No196 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Wyatt BongiovanniLW261999-07-24No194 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Yan KuznetsovD232002-03-09No209 Lbs6 ft4NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4624.57190 Lbs6 ft12.33491,326$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1John LeonardBeck MalenstynMatias Maccelli40122
2Bradly NadeauMarco KasperPatrick Brown30122
3Antonio StrangesMax SassonIsak Rosen20122
4Marco KasperVasily PonomarevMatias Maccelli10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael KesselringHenry Thrun40122
2Jordan HarrisRonnie Attard30122
3Spencer StastneyIsaiah George20122
4Michael KesselringHenry Thrun10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1John LeonardBeck MalenstynMatias Maccelli60122
2Bradly NadeauMarco KasperPatrick Brown40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael KesselringHenry Thrun60122
2Jordan HarrisRonnie Attard40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matias MaccelliJohn Leonard60122
2Marco KasperBradly Nadeau40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael KesselringHenry Thrun60122
2Jordan HarrisRonnie Attard40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1John Leonard60122Michael KesselringHenry Thrun60122
2Marco Kasper40122Jordan HarrisRonnie Attard40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matias MaccelliJohn Leonard60122
2Marco KasperBradly Nadeau40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Michael KesselringHenry Thrun60122
2Jordan HarrisRonnie Attard40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
John LeonardBeck MalenstynMatias MaccelliMichael KesselringHenry Thrun
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
John LeonardBeck MalenstynMatias MaccelliMichael KesselringHenry Thrun
Extra Forwards
Normal PowerPlayPenalty Kill
John Leonard, Isak Rosen, Bradly NadeauJohn Leonard, Isak RosenJohn Leonard
Extra Defensemen
Normal PowerPlayPenalty Kill
Ronnie Attard, Spencer Stastney, Isaiah GeorgeRonnie AttardRonnie Attard, Spencer Stastney
Penalty Shots
Bradly Nadeau, Matias Maccelli, Marco Kasper, Patrick Brown, John Leonard
Goalie
#1 : Spencer Knight, #2 : Parker Gahagen


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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
48W42343661307621447201
All Games
GPWLOTWOTL SOWSOLGFGA
4400000236
Home Games
GPWLOTWOTL SOWSOLGFGA
110000052
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3300000184
Last 10 Games
WLOTWOTL SOWSOL
400000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
19526.32%20195.00%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
434740010580
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8914063.57%6510661.32%375369.81%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13110266214223


Last Played Games
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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
1 - 2025-08-153Crunch2Penguins5WBoxScore
4 - 2025-08-1826Penguins6Wolves1WBoxScore
6 - 2025-08-2034Penguins8Bears0WBoxScore
7 - 2025-08-2149Penguins4Senators3WBoxScore
9 - 2025-08-2362Bears-Penguins-
12 - 2025-08-2685Gulls-Penguins-
13 - 2025-08-2792Penguins-Crunch-
17 - 2025-08-31112Penguins-Gulls-
18 - 2025-09-01126Senators-Penguins-
Trade Deadline --- Trades can’t be done after this day is simulated!
24 - 2025-09-07155Checkers-Penguins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
4 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 226,010$ 226,010$ 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$ 18 0$ 0$




OverallHomeVisitor
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