Penguins

GP: 6 | W: 3 | L: 3 | OTL: 0 | P: 6
GF: 19 | GA: 26 | PP%: 0.00% | PK%: 72.00%
GM : Frank-Olivier Allard-Bouchard | Morale : 75 | Team Overall : 61
Next Games #49 vs Americans

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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
1Denis Gurianov0XX100.00613794748483867157686355726967075660
2Cole Sillinger (R) (A)0X100.00714185687883896675636264676263075650
3Buddy Robinson (C)0XX100.00867673609980825957625863607274075640
4Michael Carcone (R) (A)0XXX100.00684266656376876763666859656769075640
5Tim Gettinger (R)0XX100.00836380609781796263615865606567075640
6John Leonard (R)0XX100.00633695627289856463616062666566075630
7Jeffrey Viel (R)0X100.00778150628184816360585962656668075620
8Liam O'Brien0XX100.00907250588079775965575862576971075620
9Jean-Sebastien Dea0XX100.00603781636780876268606159626971075620
10Justin Kirkland (R)0XXX100.00693973588077795978585962606769075610
11Joseph Gambardella0XX100.00613792597073835870625758627072075610
12Martin Pospisil (R)0XXX100.00664358607587725862605758596466075600
13Lassi Thomson (R)0X100.00663776657284826330685861506365075630
14Alexander Peters (R)0X100.00814567589072715530575661476769075610
15Jakub Galvas (R)0X100.00563691636585845930605264476466075610
16Seth Helgeson0X100.00814664549063865230535258457378075600
17Jonathan Aspirot (R)84X100.00654366577469765630585559476769075590
18James Greenway (R)0X100.00865057539567665257535059496567075580
Scratches
1Max Willman0XX100.00663782607180865965585961606870075620
2Joseph LaBate0X100.00827155579182805658555861577072075610
3Luke Johnson26X100.00584072606780765967585663576971075600
4Brandon Coe (R)0X100.00753990558465695360565458526264075590
5Henri Nikkanen (R)0X100.00774088558668725360545358556264075590
6Riley McKay0X100.00665850567565645456555354566466075570
7Simon Lundmark (R)0X100.00723992558166825430565355456365075590
8Louis Crevier (R)0X100.00653793527468715130525053456264075570
TEAM AVERAGE100.0071477560797679595459576056666807561
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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
1Akira Schmid (R)100.0076807890757476757476756369075660
2Christopher Gibson100.0072606184717072717072717385075640
Scratches
1Olivier Rodrigue (R)100.0070626370696870696870696369075610
TEAM AVERAGE100.007367678172717372717372667407564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Scott Gordon67616769908455USA602750,000$


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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")
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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 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
1Denis GurianovPenguins (PIT)LW/RW63473006102651611.54%112420.76000360000180018.18%1100011.1200000010
2Buddy RobinsonPenguins (PIT)LW/RW6246040109145814.29%112020.13000250000171050.00%800000.9900000011
3Cole SillingerPenguins (PIT)C6156320920167126.25%112621.12000360000180055.21%19200000.9500000000
4Michael CarconePenguins (PIT)C/LW/RW63253408121732317.65%012220.46000260000170024.32%3700100.8100000010
5Jean-Sebastien DeaPenguins (PIT)C/RW62240002171231116.67%19716.1700000000001158.40%12500000.8200000100
6Tim GettingerPenguins (PIT)LW/RW62240401391871611.11%410717.8400025000040050.00%1600000.7500000010
7Seth HelgesonPenguins (PIT)D60331402236030.00%1012120.2300006000017000.00%000000.4900000000
8Jeffrey VielPenguins (PIT)LW6213217533106420.00%0498.21000000000100100.00%200001.2200100002
9Liam O'BrienPenguins (PIT)C/LW612310013213357.69%06010.0200000000000047.06%6800001.0000000000
10Jonathan AspirotPenguins (PIT)D6033040842330.00%911118.6600000000018000.00%000000.5400000000
11Lassi ThomsonPenguins (PIT)D6022-140984360.00%815125.1800026000018000.00%000000.2600000000
12Jakub GalvasPenguins (PIT)D611220027103310.00%1614624.4900036000017000.00%000000.2700000000
13Alexander PetersPenguins (PIT)D6101-212019740225.00%711218.780001600005100.00%000000.1800000000
14John LeonardPenguins (PIT)LW/RW6011-5202813180.00%27111.8400000000000060.00%500000.2800000000
15Martin PospisilPenguins (PIT)C/LW/RW6101-42011871314.29%06210.4400000000000051.43%7000000.3200000000
16James GreenwayPenguins (PIT)D60110601402100.00%69616.010000000001000.00%000000.2100000000
17Justin KirklandPenguins (PIT)C/LW/RW60001002313140.00%1599.9200000000000066.67%300000.0000000000
18Joseph GambardellaPenguins (PIT)C/LW6000-4001473120.00%16811.4100015000000062.50%1600000.0000000000
Team Total or Average1081933520655154134194551399.79%68180916.76000196300001573151.90%55300110.5700100143
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Akira SchmidPenguins (PIT)32100.8934.1119000131210000.000033000
2Christopher GibsonPenguins (PIT)31200.8974.3318000131260100.000033100
Team Total or Average63300.8954.2237000262470100.000066100


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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
Akira SchmidG235/12/2000Yes205 Lbs6 ft5NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Alexander PetersD277/2/1996Yes220 Lbs6 ft4NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Brandon CoeRW2212/1/2001Yes188 Lbs6 ft4NoNoNo3ELCPro & Farm950,000$0$0$NoLink / NHL Link
Buddy RobinsonLW/RW329/30/1991No232 Lbs6 ft6NoNoNo2UFAPro & Farm999,999$0$0$NoLink / NHL Link
Christopher GibsonG3112/27/1992No217 Lbs6 ft2NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Cole SillingerC205/16/2003Yes201 Lbs6 ft1NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Denis Gurianov (1 Way Contract)LW/RW266/7/1997No205 Lbs6 ft3NoNoNo2RFAPro & Farm3,200,000$3,200,000$246,154$NoLink / NHL Link
Henri NikkanenC224/28/2001Yes200 Lbs6 ft4NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Jakub GalvasD246/15/1999Yes161 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
James GreenwayD254/27/1998Yes211 Lbs6 ft6NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jean-Sebastien DeaC/RW292/8/1994No174 Lbs5 ft11NoNoNo1UFAPro & Farm974,800$0$0$NoLink / NHL Link
Jeffrey VielLW261/28/1997Yes205 Lbs6 ft2NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
John LeonardLW/RW258/7/1998Yes196 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jonathan AspirotD245/16/1999Yes200 Lbs6 ft0NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Joseph GambardellaC/LW3012/1/1993No196 Lbs5 ft10NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Joseph LaBateLW304/16/1993No210 Lbs6 ft5NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Justin KirklandC/LW/RW278/2/1996Yes183 Lbs6 ft3NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Lassi ThomsonD239/24/2000Yes190 Lbs6 ft0NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Liam O'BrienC/LW297/29/1994No213 Lbs6 ft1NoNoNo1UFAPro & Farm974,700$0$0$NoLink / NHL Link
Louis CrevierD225/4/2001Yes196 Lbs6 ft0NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Luke JohnsonC299/19/1994No174 Lbs5 ft11NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Martin PospisilC/LW/RW2411/19/1999Yes173 Lbs6 ft2NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Max WillmanC/LW282/13/1995No184 Lbs6 ft0NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Michael CarconeC/LW/RW275/19/1996Yes170 Lbs5 ft9NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Olivier RodrigueG237/6/2000Yes158 Lbs6 ft1NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Riley McKayLW243/7/1999No203 Lbs6 ft0NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Seth HelgesonD3310/8/1990No219 Lbs6 ft4NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Simon LundmarkD2310/8/2000Yes201 Lbs6 ft2NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Tim GettingerLW/RW254/14/1998Yes220 Lbs6 ft6NoNoNo3RFAPro & Farm963,800$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2925.97197 Lbs6 ft21.72954,769$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Denis GurianovCole SillingerMichael Carcone31023
2Buddy RobinsonJean-Sebastien DeaTim Gettinger31023
3Joseph GambardellaMartin PospisilJohn Leonard21023
4Jeffrey VielLiam O'BrienJustin Kirkland17023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Lassi ThomsonAlexander Peters33041
2Jakub GalvasSeth Helgeson33041
3Jonathan AspirotJames Greenway20041
4Lassi ThomsonJakub Galvas14041
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Denis GurianovCole SillingerMichael Carcone50005
2Buddy RobinsonJoseph GambardellaTim Gettinger50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Lassi ThomsonAlexander Peters50005
2Jakub GalvasSeth Helgeson50005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cole SillingerDenis Gurianov50050
2Michael CarconeBuddy Robinson50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Lassi ThomsonJonathan Aspirot50050
2Jakub GalvasSeth Helgeson50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Cole Sillinger50050Lassi ThomsonJonathan Aspirot50050
2Michael Carcone50050Jakub GalvasSeth Helgeson50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Cole SillingerDenis Gurianov60023
2Michael CarconeBuddy Robinson40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Lassi ThomsonAlexander Peters60032
2Jakub GalvasSeth Helgeson40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Denis GurianovCole SillingerMichael CarconeLassi ThomsonAlexander Peters
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Denis GurianovCole SillingerMichael CarconeLassi ThomsonAlexander Peters
Extra Forwards
Normal PowerPlayPenalty Kill
Cole Sillinger, John Leonard, Jean-Sebastien DeaTim Gettinger, John LeonardTim Gettinger
Extra Defensemen
Normal PowerPlayPenalty Kill
Seth Helgeson, Jonathan Aspirot, James GreenwaySeth HelgesonSeth Helgeson, Jonathan Aspirot
Penalty Shots
Denis Gurianov, Cole Sillinger, Michael Carcone, Buddy Robinson, Tim Gettinger
Goalie
#1 : Akira Schmid, #2 : Christopher Gibson
Custom OT Lines Forwards
Denis Gurianov, Cole Sillinger, Michael Carcone, Buddy Robinson, Tim Gettinger, John Leonard, John Leonard, Jean-Sebastien Dea, Liam O'Brien, Jeffrey Viel, Justin Kirkland
Custom OT Lines Defensemen
Lassi Thomson, James Greenway, Jakub Galvas, Seth Helgeson, Jonathan Aspirot


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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
66W2193352194247686515400
All Games
GPWLOTWOTL SOWSOLGFGA
63300001926
Home Games
GPWLOTWOTL SOWSOLGFGA
31200001116
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3210000810
Last 10 Games
WLOTWOTL SOWSOL
330000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
700.00%25772.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
70596148371
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
11720457.35%11023846.22%6011154.05%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13592155457937


Last Played Games
Filter Tips
PriorityTypeDescription
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2024-04-181Penguins2Americans1WBoxScore
3 - 2024-04-209Penguins2Americans7LBoxScore
5 - 2024-04-2217Americans5Penguins3LBoxScore
7 - 2024-04-2425Americans7Penguins3LBoxScore
9 - 2024-04-2633Penguins4Americans2WBoxScore
11 - 2024-04-2841Americans4Penguins5WXBoxScore
13 - 2024-04-3049Penguins-Americans-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price4121
Attendance4,5902,509
Attendance PCT76.50%83.63%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
38 2366 - 78.88% 100,366$301,098$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,448,830$ 2,324,950$ 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$ 1 0$ 0$




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
2382323201071031029416411715036001521457411517071101581499933105618712111399871230831052100998542294481666519472606023.08%2896178.89%41754316355.45%1657299255.38%749137154.63%2007139919145821036525
2022823826066243282765241211204112161128334117140251216714819102328613941121299299103052984962106461273377961719752456526.53%2637372.24%11707297057.47%1596279657.08%750139953.61%2108150318305641039536
2023823728031022311282294119110261216514520411817014101461379963115548651110711089730431006994101246280979874021232554818.82%3297178.42%41644308453.31%1661302854.85%736135354.40%2009139819006011053527
Total Regular Season2461078601923569498529712357380913244784186012350480101032471434372919491728267744349301275299178304229653061149848623932022604576017322.76%88120576.73%95105921755.39%4914881655.74%2235412354.21%612543015645174731291589
Playoff
2022624000002629-3312000001617-1312000001012-24264571001110502328873656187494214727622.22%20575.00%012223452.14%10621449.53%6011452.63%146100139477939
2023633000001926-7312000001116-532100000810-2619335200837119470596142476865154700.00%25772.00%011720457.35%11023846.22%6011154.05%13592155457937
Total Playoff1257000004555-10624000002733-6633000001822-41045781230019131214261581321261043411710730134617.65%451273.33%023943854.57%21645247.79%12022553.33%2821932949215977