Penguins

GP: 20 | W: 15 | L: 4 | OTL: 1 | P: 31
GF: 86 | GA: 31 | PP%: 28.87% | PK%: 92.94%
GM : Maxyme Roy | Morale : 50 | Team Overall : 63
Next Games #293 vs Thunderbirds

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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
# 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
1Tommy Novak0X99.006236947275858770747168626966686050680
2Riley Tufte0X99.008380716298798463605861666265677850650
3Nic Petan0X99.005538796964888268726766616568706250650
4Adam Ruzicka0X100.005938946689787665766762586463655950640
5Cole Guttman0X100.006137836863886966826768626664654850640
6William Eklund0X100.006038777069897368646761656861638750640
7Denis Malgin0X99.006633957068777165606169576667695950630
8Jeffrey Viel0X100.007781506281848163605859626566684250630
9John Leonard0X100.006336956272898564636160626665664750630
10Egor Afanasyev0X100.007740846389838862585960576362647450630
11Vasily Ponomarev0X100.005938846568867364736364606561637150630
12Connor Carrick0X100.008339726770858366306858625370714650670
13Michael Kesselring0X100.007340756284928361306858674963654950670
14Jalen Chatfield0X100.006838836675848664306861705267683750670
15Darren Raddysh0X100.006840806677868565306759625167693750660
16Calen Addison0X100.005533757167868267307259555362647050640
17Egor Zamula0X100.006738916279828463306658625063654250640
18Zac Jones0X100.005737856666848565306459635063646650640
19Dmitri Samorukov0X100.006838816081778359305958614964666350630
Scratches
1Danil Gushchin0X100.005835896763927364576365596861636650630
2Emil Heineman0X100.006439836473956163575966586662647450620
3Nick Abruzzese0X100.006036926669807463696459606164665750620
4Sampo Ranta0X100.006938846279838159575859625863656450620
5Rhett Gardner0X100.007442715885778659696155635767695150620
6Antonio Stranges0X100.005735956768776266726459566761635950610
7Logan Hutsko0X100.005837876167828160666357565964666250610
8Arshdeep Bains0X100.006238876071697259646258575962644550600
9Martin Chromiak0X100.006337936072816959635761566061635850600
10Danila Klimovich0X100.007241795781798456605558596061627650600
11Chaz Lucius0X100.006539846074776159655857566360628550590
12Andre Lee0X100.008242825591717252565354595263654950590
13Nathan Legare0X100.006641745575858354585556575362646650590
14Samuel Helenius0X100.008443735393667352625553605261636950590
15Roman Ahcan0X100.006337835563717754555656525564664350570
16Wyatt Bongiovanni0X100.006438845573727054585156535564664350560
17Carter Savoie0X100.005938865468766853545155525461636250550
18Ronnie Attard0X100.007540826585847564306263665264666750660
19Spencer Stastney0X100.006036956471827263306658655063655750640
20Mac Hollowell0X100.006136756763797264306658635165675750630
21Philip Kemp0X100.007541825484638353305554584664664850610
22Nicolas Beaudin0X100.005738716366688062306452564864667850600
23Yan Kuznetsov0X100.007942825588647354305553584661637250600
24Anttoni Honka0X100.005737905966707258306354554763656450590
25Bobby Nardella0X100.005638835865757957306155544767693750590
26Peter DiLiberatore0X100.005537765564707554305554524663654950560
27Daniil Zhuravlyov0X100.005837875267656151305250534563655550550
TEAM AVERAGE99.91664083627479776151615959576465595062
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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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Dustin Wolf100.00787071707776787776787762676050720
2Zach Fucale100.00756567787473757473757468816350720
Scratches
1Devon Levi100.00756561717473757473757461676350700
2Isaiah Saville100.00705758766968706968706963695650670
3Dylan Wells100.00686061786766686766686765735650660
4David Tendeck100.00685657726766686766686764714850650
TEAM AVERAGE100.0072626374717072717072716471585069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Marco Sturm64706670676381DEU4471,000,000$


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 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
1Tommy NovakPenguins (Pit)C2092433159524689524739.47%548624.30481213760003842067.78%62700001.3600010233
2Cole GuttmanPenguins (Pit)C2013152815155282470165218.57%139719.8658131978000023084.44%4500001.4100001321
3Nic PetanPenguins (Pit)C201014241260123378166112.82%044922.4953819730003842061.39%40400011.0700000112
4Michael KesselringPenguins (Pit)D206152114195491743112013.95%2342421.2155103277000068000.00%000000.9900100113
5Jalen ChatfieldPenguins (Pit)D20417211060212035122411.43%1948024.003691573000068110.00%000000.8800000102
6Adam RuzickaPenguins (Pit)C206101672073857194910.53%038019.0415610660002381071.92%26000000.8400000100
7Denis MalginPenguins (Pit)C1378151080291433163321.21%128221.771564500001201062.50%2400001.0600000012
8Connor CarrickPenguins (Pit)D203121582204918318219.68%1645422.732462273000063000.00%000000.6600000012
9Darren RaddyshPenguins (Pit)D2011415141952917339123.03%1542321.180551475000067000.00%000000.7100001000
10Riley TuftePenguins (Pit)LW20771410541067208021468.75%237918.9712317700000322065.22%2300000.7400101011
11William EklundPenguins (Pit)LW2085137806238417479.52%128814.4200000000040044.44%1800000.9000000001
12John LeonardPenguins (Pit)LW2053810003102882217.86%225012.5400000000001058.33%1200000.6400000000
13Connor DewarPittsburgh PenguinsC/LW732558023627122111.11%015221.831012240000190061.11%1800000.6500000110
14Calen AddisonPenguins (Pit)D200559801895080.00%226013.040000000001000.00%000000.3800000010
15Egor ZamulaPenguins (Pit)D20055719522515170.00%820610.330000000000000.00%000000.4800001000
16Ronnie AttardPenguins (Pit)D813454012073414.29%59311.700000000002100.00%000000.8500000010
17Jeffrey VielPenguins (Pit)LW2011274020343226204.55%427913.9900000000000044.44%1800000.1400211000
18Egor AfanasyevPenguins (Pit)LW201120403231333.33%0391.9700009000000054.55%1100001.0100000001
19Dmitri SamorukovPenguins (Pit)D20000000220010.00%2231.1900000000023000.00%000000.0000000000
20Spencer StastneyPenguins (Pit)D4000000012010.00%1215.350000000000000.00%000000.0000000000
21Zac JonesPenguins (Pit)D20000000000000.00%0100.540000300000000.00%000000.0000000000
22Vasily PonomarevPenguins (Pit)C20000000000000.00%040.2300001000000050.00%200000.0000000000
Team Total or Average392851612461652515543833074820052511.36%107579114.77285179167756000958114166.28%146200010.8500425101318
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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
1Zach FucalePenguins (Pit)2015410.9211.55116505303820000.0000200400
2Dustin WolfPenguins (Pit)10000.9551.8832001220000.0000020000
Team Total or Average2115410.9231.55119805314040000.00002020400


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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
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
Adam RuzickaC241999-05-11No215 Lbs6 ft4NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Andre LeeLW232000-07-26No206 Lbs6 ft5NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Antonio StrangesC212002-02-05No168 Lbs5 ft11NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Anttoni HonkaD232000-10-05No179 Lbs5 ft10NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Arshdeep BainsLW222001-01-09No184 Lbs6 ft0NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Bobby NardellaD271996-04-22No180 Lbs5 ft9NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Calen AddisonD232000-04-11No173 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Carter SavoieLW212002-01-23No192 Lbs5 ft9NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Chaz LuciusC202003-05-02No185 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Cole GuttmanC241999-04-06No167 Lbs5 ft9NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Connor CarrickD291994-04-13No198 Lbs5 ft10NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Daniil ZhuravlyovD232000-04-08No163 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Danil GushchinLW212002-02-06No165 Lbs5 ft8NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Danila KlimovichRW202003-01-09No202 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Darren RaddyshD271996-02-28No200 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
David TendeckG241999-11-25No173 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Denis MalginC261997-01-18No182 Lbs5 ft9NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Devon LeviG212001-12-27No184 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Dmitri SamorukovD241999-06-16No188 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dustin WolfG222001-04-16No166 Lbs6 ft0NoNoNo2ELCPro & Farm500,000$0$0$NoLink
Dylan WellsG251998-01-03No190 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Egor AfanasyevLW222001-01-23No211 Lbs6 ft4NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Egor ZamulaD232000-03-30No177 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Emil HeinemanLW222001-10-26No194 Lbs6 ft0NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Isaiah SavilleG232000-09-21No193 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Jalen ChatfieldD271996-05-15No188 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jeffrey VielLW261997-01-28No205 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$NoLink
John LeonardLW251998-08-07No196 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Logan HutskoRW241999-01-11No172 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Mac HollowellD251998-09-26No170 Lbs5 ft9NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Martin ChromiakRW212002-08-20No187 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Michael KesselringD232000-01-13No190 Lbs6 ft4NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Nathan LegareRW222001-01-11No205 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Nic PetanC281995-03-22No175 Lbs5 ft9NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Nick AbruzzeseC241999-06-04No183 Lbs5 ft11NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Nicolas BeaudinD241999-10-07No168 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Peter DiLiberatoreD232000-03-31No160 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Philip KempD241999-02-12No202 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Rhett GardnerC271996-02-28No210 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Riley TufteLW251998-04-10No230 Lbs6 ft6NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Roman AhcanLW241999-03-24No170 Lbs5 ft9NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Ronnie AttardD241999-03-20No208 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Sampo RantaLW232000-05-31No195 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Samuel HeleniusC212002-11-26No201 Lbs6 ft6NoNoNo3ELCPro & Farm300,000$0$0$NoLink
Spencer StastneyD232000-01-04No184 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Tommy NovakC261997-04-28No179 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink
Vasily PonomarevC212002-03-13No180 Lbs5 ft11NoNoNo3ELCPro & Farm500,000$0$0$NoLink
William EklundLW212002-10-12No181 Lbs5 ft11NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Wyatt BongiovanniC241999-07-24No194 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Yan KuznetsovD212002-03-09No209 Lbs6 ft4NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Zac JonesD232000-10-18No178 Lbs5 ft10NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Zach FucaleG281995-05-28No189 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
5223.60187 Lbs6 ft02.54411,538$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Denis MalginTommy NovakCole Guttman40122
2Riley TufteNic PetanJohn Leonard30122
3William EklundAdam RuzickaJeffrey Viel20122
4Denis MalginCole GuttmanTommy Novak10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jalen ChatfieldConnor Carrick40122
2Michael KesselringDarren Raddysh30122
3Egor ZamulaCalen Addison20122
4Jalen ChatfieldEgor Zamula10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Denis MalginTommy NovakCole Guttman60122
2Riley TufteNic PetanAdam Ruzicka40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jalen ChatfieldConnor Carrick60122
2Michael KesselringDarren Raddysh40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tommy NovakNic Petan60122
2Denis MalginRiley Tufte40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jalen ChatfieldConnor Carrick60122
2Michael KesselringDarren Raddysh40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tommy Novak60122Jalen ChatfieldConnor Carrick60122
2Nic Petan40122Michael KesselringDarren Raddysh40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tommy NovakNic Petan60122
2Denis MalginRiley Tufte40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jalen ChatfieldConnor Carrick60122
2Michael KesselringDarren Raddysh40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Denis MalginTommy NovakCole GuttmanJalen ChatfieldConnor Carrick
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Denis MalginTommy NovakCole GuttmanJalen ChatfieldConnor Carrick
Extra Forwards
Normal PowerPlayPenalty Kill
Egor Afanasyev, Vasily Ponomarev, Adam RuzickaEgor Afanasyev, Vasily PonomarevAdam Ruzicka
Extra Defensemen
Normal PowerPlayPenalty Kill
Zac Jones, Dmitri Samorukov, Jalen ChatfieldZac JonesDmitri Samorukov, Jalen Chatfield
Penalty Shots
Tommy Novak, Nic Petan, Denis Malgin, Riley Tufte, Adam Ruzicka
Goalie
#1 : Zach Fucale, #2 : Dustin Wolf
Custom OT Lines Forwards
Tommy Novak, Denis Malgin, Nic Petan, Riley Tufte, Cole Guttman, Adam Ruzicka, Adam Ruzicka, Vasily Ponomarev, Jeffrey Viel, Egor Afanasyev, William Eklund
Custom OT Lines Defensemen
Jalen Chatfield, Connor Carrick, Michael Kesselring, Darren Raddysh, Egor Zamula


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2031L18616324975240410725143805
All Games
GPWLOTWOTL SOWSOLGFGA
2015401008631
Home Games
GPWLOTWOTL SOWSOLGFGA
9720000349
Visitor Games
GPWLOTWOTL SOWSOLGFGA
118201005222
Last 10 Games
WLOTWOTL SOWSOL
720100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
972828.87%85692.94%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
24824126303527240
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
46368068.09%31349263.62%19429066.90%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
662511322111215128


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
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
4 - 2023-08-131Penguins2Checkers0WBoxScore
5 - 2023-08-1416Penguins4Checkers3WBoxScore
11 - 2023-08-2034Penguins2Wolfpack1WBoxScore
12 - 2023-08-2146Thunderbirds3Penguins2LBoxScore
16 - 2023-08-2568Bears0Penguins2WBoxScore
19 - 2023-08-2887Wolfpack2Penguins3WBoxScore
20 - 2023-08-2999Penguins7Bears1WBoxScore
23 - 2023-09-01109Bruins2Penguins1LBoxScore
25 - 2023-09-03117Bears0Penguins7WBoxScore
26 - 2023-09-04125Senators1Penguins4WBoxScore
32 - 2023-09-10152Penguins5Crunch1WBoxScore
33 - 2023-09-11162Crunch0Penguins6WBoxScore
37 - 2023-09-15187Bears0Penguins4WBoxScore
39 - 2023-09-17196Penguins1Bruins2LBoxScore
40 - 2023-09-18214Penguins3Bruins4LXBoxScore
44 - 2023-09-22230Penguins10Bears3WBoxScore
46 - 2023-09-24238Penguins8Checkers1WBoxScore
47 - 2023-09-25250Penguins7Checkers1WBoxScore
51 - 2023-09-29272Bears1Penguins5WBoxScore
53 - 2023-10-01282Penguins3Thunderbirds5LBoxScore
54 - 2023-10-02293Thunderbirds-Penguins-
60 - 2023-10-08320Monsters-Penguins-
61 - 2023-10-09331Bruins-Penguins-
65 - 2023-10-13353Crunch-Penguins-
67 - 2023-10-15361Penguins-Comets-
68 - 2023-10-16371Americans-Penguins-
73 - 2023-10-21400Penguins-Senators-
74 - 2023-10-22406Penguins-Rocket-
79 - 2023-10-27427Penguins-Bears-
81 - 2023-10-29442Checkers-Penguins-
82 - 2023-10-30452Checkers-Penguins-
88 - 2023-11-05478Penguins-Thunderbirds-
89 - 2023-11-06489Phantoms-Penguins-
90 - 2023-11-07507Wolfpack-Penguins-
95 - 2023-11-12523Penguins-Bruins-
96 - 2023-11-13534Penguins-Islanders-
98 - 2023-11-15550Penguins-Thunderbirds-
100 - 2023-11-17558Bruins-Penguins-
103 - 2023-11-20578Penguins-Bears-
104 - 2023-11-21591Thunderbirds-Penguins-
107 - 2023-11-24602Wolfpack-Penguins-
109 - 2023-11-26612Penguins-Phantoms-
110 - 2023-11-27623Bears-Penguins-
114 - 2023-12-01648Marlies-Penguins-
116 - 2023-12-03653Penguins-Wolfpack-
117 - 2023-12-04675Penguins-Phantoms-
123 - 2023-12-10690Penguins-Phantoms-
128 - 2023-12-15717Penguins-Marlies-
130 - 2023-12-17729Penguins-Americans-
131 - 2023-12-18736Rocket-Penguins-
135 - 2023-12-22764Phantoms-Penguins-
137 - 2023-12-24770Penguins-Bears-
138 - 2023-12-25785Islanders-Penguins-
144 - 2023-12-31823Checkers-Penguins-
145 - 2024-01-01832Checkers-Penguins-
151 - 2024-01-07862Penguins-Phantoms-
152 - 2024-01-08872Phantoms-Penguins-
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2024-01-12900Phantoms-Penguins-
160 - 2024-01-16930Penguins-Monsters-
161 - 2024-01-17937Penguins-Monsters-
165 - 2024-01-21951Penguins-Crunch-
166 - 2024-01-22963Comets-Penguins-
167 - 2024-01-23976Penguins-Phantoms-
173 - 2024-01-291010Phantoms-Penguins-
179 - 2024-02-041041Monsters-Penguins-
180 - 2024-02-051049Penguins-Islanders-
181 - 2024-02-061063Phantoms-Penguins-
186 - 2024-02-111081Islanders-Penguins-
187 - 2024-02-121092Bears-Penguins-
188 - 2024-02-131106Penguins-Bears-
193 - 2024-02-181118Penguins-Wolfpack-
194 - 2024-02-191136Penguins-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance17,2998,361
Attendance PCT96.11%92.90%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
27 2851 - 95.04% 71,464$643,175$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
330,606$ 214,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 58,751$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,929,525$ 142 6,226$ 884,092$




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
1282501308362279141138412560414113772654125704221142697313327948276101001079167234607497358401674505131817205527814.13%5344990.82%71543267057.79%1357237057.26%665115657.53%228216351711583990528
1282501308362279141138412560414113772654125704221142697313327948276101001079167234607497358401674505131817205527814.13%5344990.82%71543267057.79%1357237057.26%665115657.53%228216351711583990528
1376521303143261141120382550203313173583827801110130686212226145471501101027973192306146626261419421117014414908717.76%4635388.55%111470244460.15%1147196858.28%634110057.64%219916031498518909490
1376521303143261141120382550203313173583827801110130686212226145471501101027973192306146626261419421117014414908717.76%4635388.55%111470244460.15%1147196858.28%634110057.64%219916031498518909490
147631270335718214240381611021359772253815160122285701588182323505050665652197306206756561717486105614753513911.11%4404889.09%31331240655.32%1225228253.68%550100554.73%202514431691536912475
147631270335718214240381611021359772253815160122285701588182323505050665652197306206756561717486105614753513911.11%4404889.09%31331240655.32%1225228253.68%550100554.73%202514431691536912475
1582521902441286147139412312012211427963412970122014468761212865198051701058986239008157378211722490108415654197116.95%4545787.44%51591269159.12%1364234358.22%737118262.35%228616581704556967515
1582521902441286147139412312012211427963412970122014468761212865198051701058986239008157378211722490108415654197116.95%4545787.44%51591269159.12%1364234358.22%737118262.35%228616581704556967515
1682541203166289141148412570214214875734129501024141667513328951780601401098982232107597707691705472993143043210825.00%4104589.02%21575259660.67%1252225855.45%723115662.54%229816691717545971521
1682541203166289141148412570214214875734129501024141667513328951780601401098982232107597707691705472993143043210825.00%4104589.02%21575259660.67%1252225855.45%723115662.54%229816691717545971521
1772431705124260131129362360301314565803620110211111566491052604787381120102846721810679723742144641191512863898221.08%3834687.99%41506235064.09%1177194560.51%666103064.66%211715631402461843461
1772431705124260131129362360301314565803620110211111566491052604787381120102846721810679723742144641191512863898221.08%3834687.99%41506235064.09%1177194560.51%666103064.66%211715631402461843461
182015400100863155972000003492511820010052223031861632490535272407522482412630404107251438972828.87%85692.94%046368068.09%31349263.62%19429066.90%662511322111215128
Total Regular Season9605792060482754463200171714834792819602810343016348817534812981100201720161566836730143532005709890941233512091000854270202488713886789081977056771332318272536395817.86%545360288.96%64184953099459.67%153572682457.25%81441354860.11%2708319659197726512114056113
Playoff
11624000001012-23120000067-13120000045-1410182802044214405342441222713016948510.42%54787.04%010020249.50%8417946.93%377946.84%151101143477639
11624000001012-23120000067-13120000045-1410182802044214405342441222713016948510.42%54787.04%010020249.50%8417946.93%377946.84%151101143477639
12945000001617-15320000011834130000059-4816314703028523306888751695410116069811.59%41587.80%013129843.96%11925746.30%5311645.69%2401711926810957
12945000001617-15320000011834130000059-4816314703028523306888751695410116069811.59%41587.80%013129843.96%11925746.30%5311645.69%2401711926810957
13158700000383718530000023167734000001521-61638681060201210153850109120116320110233343991616.16%1051882.86%228355451.08%25145455.29%13622660.18%418290373121200102
13158700000383718530000023167734000001521-61638681060201210153850109120116320110233343991616.16%1051882.86%228355451.08%25145455.29%13622660.18%418290373121200102
1514104000003825137520000017134752000002112920386910702014913342010011210730693226247991010.10%1001189.00%021845348.12%22445349.45%9920648.06%36224535911818691
1514104000003825137520000017134752000002112920386910702014913342010011210730693226247991010.10%1001189.00%021845348.12%22445349.45%9920648.06%36224535911818691
Total Playoff8848400000020418222462818000001148826422022000009094-4962043725760180646270220806607246841834568138018386307812.38%6008286.33%41464301448.57%1356268650.48%650125451.83%2345161821377111146581