Penguins

GM : Ladislav Mozolic Morale : 99 Team Overall : 70
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 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
1Patrick Marleau (C)XX100.00664499897592999086495268619899074750
2Artemi Panarin (R)XX100.00634183937589838863575560907171075720
3Alexander SteenXX100.00644379848195827873565172807880077720
4Troy BrouwerX100.00817879758586987065474971607579074710
5Ryan Nugent-HopkinsX100.00654286887690778187514867616666075690
6Kevin HayesXXX100.00654484829278896964484761506061075670
7Vernon FiddlerXX100.00635284757074956690434574618286075670
8J.T. MillerXXX100.00785981837384896861465060636264075670
9Mark LetestuXX100.00664397776483806996444475686970075670
10Craig SmithX100.00684482816982967457455067606768076670
11Casey CizikasX100.00775585776876866687464376996566074670
12Eric FehrXXX100.00685586748877766665414575637274059670
13Travis HamonicX100.00825683858193887425474180507669075720
14Andrej SekeraX100.00704389866988937825484177508286065710
15Ron HainseyX100.00745483747689976925434081508192052700
16Shayne Gostisbehere (R)X100.00674085907282708825514973507065076700
17Kevin BieksaX100.00818966847984837325434077507680075700
18David SchlemkoX100.00704287746778767625444276907567075660
Scratches
1Barret JackmanX100.00769271737066936925403875508991046670
TEAM AVERAGE100.0071538481758387745647467263747507169
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Ryan Miller100.0074908587757674757974709089075780
2Michal Neuvirth100.0080818689857878797565657873076770
Scratches
TEAM AVERAGE100.007786868880777677777068848107678
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Yeo96837988757784CAN4351,000,000$


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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Patrick MarleauPenguinsPenguinsC/LW4134200516996.25%519.:.3800000000038.71%62122001.0200
2Artemi PanarinPenguinsPenguinsLW/RW4112-120811469.09%020.:.5800000010075.00%4171000.4800
3Shayne GostisbeherePenguinsPenguinsD411202071211108.33%323.:.580000001000.00%013000.4200
4Travis HamonicPenguinsPenguinsD4011-220128460.00%925.:.240000007000.00%0111000.2000
5Andrej SekeraPenguinsPenguinsD4101-220483512.50%424.:.310000006000.00%016000.2000
6Troy BrouwerPenguinsPenguinsRW4011-20076210.00%215.:.3600000030075.00%443000.3200
7Alexander SteenPenguinsPenguinsC/LW4101200384812.50%119.:.3400000000050.00%440000.2600
8Ron HainseyPenguinsPenguinsD400000038120.00%521.:.070000007000.00%008000.0000
9Kevin HayesPenguinsPenguinsC/LW/RW4000-220310490.00%012.:.2100000000066.67%372000.0000
10Vernon FiddlerPenguinsPenguinsC/LW400000043260.00%010.:.080000002000.00%110000.0000
11J.T. MillerPenguinsPenguinsC/LW/RW4000-52092340.00%118.:.400000000000.00%210000.0000
12David SchlemkoPenguinsPenguinsD4000-30040210.00%916.:.470000000000.00%006000.0000
13Mark LetestuPenguinsPenguinsC/RW400000014030.00%113.:.24000000100046.34%4131000.0000
14Ryan Nugent-HopkinsPenguinsPenguinsC4000-520410180.00%118.:.4000000000051.92%52121000.0000
15Craig SmithPenguinsPenguinsRW4000-200710570.00%115.:.470000000000.00%1111000.0000
16Casey CizikasPenguinsPenguinsC4000-20056220.00%111.:.3300000030033.33%2111000.0000
17Kevin BieksaPenguinsPenguinsD4000-32075130.00%416.:.300000007000.00%001000.0000
18Eric FehrPenguinsPenguinsC/LW/RW400002031330.00%111.:.3100000090033.33%352000.0000
Team Total or Average725712-25180968912861933.91%48126417.57000211190004600044.44%1988149000.1900000000
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
1Michal NeuvirthPenguinsPenguins201191.7%3.111350078445000.0%022001
2Ryan MillerPenguinsPenguins201189.7%3.001200065835000.0%022000
Team Total or Average40220.9083.05256001314280000.000044001


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 Force Waivers Contract StatusType Current Salary Salary RemainingSalary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Alexander SteenPenguinsC/LW331.3.1984No212 Lbs5 ft11NoNo3UFAPro & Farm5,800,000$5,800,000$5,800,000$Link
Andrej SekeraPenguinsD308.6.1986No201 Lbs6 ft0NoNo5UFAPro & Farm2,400,000$4,000,000$4,000,000$4,000,000$4,000,000$Link
Artemi PanarinPenguinsLW/RW2530.10.1991 1:22:13Yes170 Lbs5 ft11YesNo4RFAPro & Farm2,800,000$6,300,000$6,300,000$6,300,000$Link
Barret JackmanPenguinsD365.3.1981No203 Lbs6 ft0NoNo3UFAPro & Farm2,400,000$2,400,000$2,400,000$Link
Casey Cizikas (1 Way Contract)PenguinsC2627.2.1991 6:56:46No201 Lbs5 ft11NoNo3RFAPro Only1,000,000$1,600,000$1,600,000$Link
Craig SmithPenguinsRW275.9.1989 14:19:30No202 Lbs6 ft1NoNo2UFAPro & Farm2,600,000$2,600,000$Link
David SchlemkoPenguinsD307.5.1987No190 Lbs5 ft11NoNo2UFAPro Only1,400,000$1,400,000$Link
Eric FehrPenguinsC/LW/RW317.9.1985No212 Lbs6 ft4NoNo1UFAPro Only1,600,000$Link
J.T. MillerPenguinsC/LW/RW2414.3.1993 3:52:37No205 Lbs6 ft1NoNo3RFAPro & Farm3,300,000$3,300,000$3,300,000$Link
Kevin BieksaPenguinsD3516.6.1981No198 Lbs6 ft1NoNo3UFAPro & Farm3,000,000$3,000,000$3,000,000$Link
Kevin HayesPenguinsC/LW/RW258.5.1992 1:40:10No225 Lbs6 ft5NoNo1RFAPro Only1,500,000$Link
Mark LetestuPenguinsC/RW324.2.1985No197 Lbs5 ft10NoNo1UFAPro & Farm1,800,000$Link
Michal NeuvirthPenguinsG2923.3.1988No209 Lbs6 ft1NoNo2UFAPro & Farm3,000,000$3,000,000$Link
Patrick MarleauPenguinsC/LW3715.9.1979No220 Lbs6 ft2NoNo3UFAPro & Farm5,600,000$5,600,000$5,600,000$Link
Ron HainseyPenguinsD3624.3.1981No210 Lbs6 ft3NoNo3UFAPro & Farm2,500,000$2,500,000$2,500,000$Link
Ryan MillerPenguinsG3617.7.1980No168 Lbs6 ft2NoNo2UFAPro & Farm5,300,000$5,300,000$Link
Ryan Nugent-HopkinsPenguinsC2412.4.1993 14:44:38No190 Lbs6 ft0YesNo2RFAPro & Farm6,800,000$4,800,000$Link
Shayne GostisbeherePenguinsD2420.4.1993 23:48:02Yes160 Lbs5 ft11NoNo2RFAPro & Farm2,000,000$2,000,000$Link
Travis HamonicPenguinsD2616.8.1990No217 Lbs6 ft2NoNo4RFAPro & Farm2,800,000$3,500,000$3,500,000$3,500,000$Link
Troy BrouwerPenguinsRW3117.8.1985No213 Lbs6 ft3NoNo4UFAPro & Farm2,700,000$2,700,000$2,700,000$2,700,000$Link
Vernon FiddlerPenguinsC/LW379.5.1980No205 Lbs5 ft11NoNo2UFAPro & Farm1,800,000$1,800,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2130.19200 Lbs6 ft12.622,957,143$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander SteenPatrick MarleauArtemi Panarin43023
2J.T. MillerRyan Nugent-HopkinsTroy Brouwer35023
3Kevin HayesMark LetestuCraig Smith16032
4Vernon FiddlerCasey CizikasEric Fehr6041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrej SekeraTravis Hamonic46032
2Shayne GostisbehereRon Hainsey34032
3David SchlemkoKevin Bieksa20140
4Travis HamonicAndrej Sekera0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander SteenPatrick MarleauArtemi Panarin60005
2J.T. MillerRyan Nugent-HopkinsCraig Smith40104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Shayne GostisbehereAndrej Sekera60104
2Travis HamonicDavid Schlemko40104
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mark LetestuEric Fehr60140
2Casey CizikasVernon Fiddler40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Travis HamonicRon Hainsey60140
2Andrej SekeraKevin Bieksa40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Patrick Marleau60050Travis HamonicRon Hainsey60140
2Alexander Steen40140Andrej SekeraKevin Bieksa40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alexander SteenArtemi Panarin60122
2Ryan Nugent-HopkinsPatrick Marleau40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Travis HamonicShayne Gostisbehere60122
2Ron HainseyAndrej Sekera40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alexander SteenRyan Nugent-HopkinsArtemi PanarinAndrej SekeraShayne Gostisbehere
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alexander SteenPatrick MarleauMark LetestuTravis HamonicRon Hainsey
Extra Forwards
Normal PowerPlayPenalty Kill
J.T. Miller, Mark Letestu, Craig SmithJ.T. Miller, Craig SmithTroy Brouwer
Extra Defensemen
Normal PowerPlayPenalty Kill
Shayne Gostisbehere, Travis Hamonic, Andrej SekeraTravis HamonicAndrej Sekera, Kevin Bieksa
Penalty Shots
Artemi Panarin, Alexander Steen, J.T. Miller, Mark Letestu, Patrick Marleau
Goalie
#1 : Michal Neuvirth, #2 : Ryan Miller


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
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff P PCT 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 GF% SH% SV% PDO PDOBRK
1PenguinsSenators40400000513-800.000571200122012840384461424818961200.00%9366.67%0367846.15%377946.84%154136.59%966299316030
Vs Division40400000513-800.000571200122012840384461424818961200.00%9366.67%0367846.15%377946.84%154136.59%966299316030
Vs Conference40400000513-800.000571200122012840384461424818961200.00%9366.67%0367846.15%377946.84%154136.59%966299316030
Since Last GM Reset40400000513-800.000571200122012840384461424818961200.00%9366.67%0367846.15%377946.84%154136.59%966299316030
Total40400000513-800.000571200122012840384461424818961200.00%9366.67%0367846.15%377946.84%154136.59%966299316030

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
40OTL2571212814248189600
All Games
GPWLOTWOTL SOWSOLGFGA
4040000513
Home Games
GPWLOTWOTL SOWSOLGFGA
202000035
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000028
Last 10 Games
WLOTWOTL SOWSOL
020200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1200.00%9366.67%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
40384461220
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
367846.15%377946.84%154136.59%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
966299316030


Last Played Games
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
DateMatchup Result Detail
Mon, Apr 21Penguins@PenguinsPenguins1,Senators5RECAP
Wed, Apr 23Penguins@PenguinsPenguins1,Senators3RECAP
Fri, Apr 25Penguins@PenguinsSenators3,Penguins2 (OT)RECAP
Sun, Apr 27Penguins@PenguinsSenators2,Penguins1 (OT)RECAP



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity68743618452418031268
Ticket Price103553824200
Attendance127647020856231752184
Attendance PCT92.84%97.01%94.63%88.05%86.12%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
39 16853 - 93.17% 1,883,158$3,766,315$18087100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
62,100,000$ 4,000,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
0$ 0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$

Team Total Estime
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 5,530,053$ 5,530,053$



Depth Chart

Left WingCenterRight Wing
Patrick MarleauAGE:37PO:0OV:75
*Artemi PanarinAGE:25PO:0OV:72
Alexander SteenAGE:33PO:0OV:72
Kevin HayesAGE:25PO:0OV:67
Vernon FiddlerAGE:37PO:0OV:67
J.T. MillerAGE:24PO:0OV:67
Eric FehrAGE:31PO:0OV:67
*Roman LyubimovAGE:25PO:0OV:60
*Nikita SoshnikovAGE:23PO:0OV:60
Richard PanikAGE:25PO:0OV:59
*Alexander KhokhlachevAGE:23PO:0OV:58
Jayson MegnaAGE:27PO:0OV:57
*Drake CaggiulaAGE:22PO:0OV:56
Tanner KeroAGE:24PO:0OV:56
*Josh AndersonAGE:26PO:0OV:56
Marek HrivikAGE:25PO:0OV:56
Quinton HowdenAGE:25PO:0OV:56
Nick PaulAGE:22PO:0OV:55
*Tyler MotteAGE:22PO:0OV:54
*Taylor LeierAGE:23PO:0OV:54
*Adam ErneAGE:22PO:0OV:53
Patrick MarleauAGE:37PO:0OV:75
Alexander SteenAGE:33PO:0OV:72
Ryan Nugent-HopkinsAGE:24PO:0OV:69
Kevin HayesAGE:25PO:0OV:67
Vernon FiddlerAGE:37PO:0OV:67
J.T. MillerAGE:24PO:0OV:67
Mark LetestuAGE:32PO:0OV:67
Casey CizikasAGE:26PO:0OV:67
Eric FehrAGE:31PO:0OV:67
*Roman LyubimovAGE:25PO:0OV:60
*Alexander KhokhlachevAGE:23PO:0OV:58
*Mitchell MarnerAGE:20PO:0OV:57
Jayson MegnaAGE:27PO:0OV:57
*Drake CaggiulaAGE:22PO:0OV:56
Tanner KeroAGE:24PO:0OV:56
Nick PaulAGE:22PO:0OV:55
Carter RowneyAGE:28PO:0OV:55
Colin SmithAGE:23PO:0OV:54
*Tyler MotteAGE:22PO:0OV:54
*Artemi PanarinAGE:25PO:0OV:72
Troy BrouwerAGE:31PO:0OV:71
Kevin HayesAGE:25PO:0OV:67
J.T. MillerAGE:24PO:0OV:67
Mark LetestuAGE:32PO:0OV:67
Craig SmithAGE:27PO:0OV:67
Eric FehrAGE:31PO:0OV:67
*Nikita SoshnikovAGE:23PO:0OV:60
Justin FontaineAGE:29PO:0OV:59
Richard PanikAGE:25PO:0OV:59
*Mitchell MarnerAGE:20PO:0OV:57
Jayson MegnaAGE:27PO:0OV:57
*Josh AndersonAGE:26PO:0OV:56
Quinton HowdenAGE:25PO:0OV:56
Carter RowneyAGE:28PO:0OV:55
Colin SmithAGE:23PO:0OV:54
*Adam ErneAGE:22PO:0OV:53

Defense #1Defense #2Goalie
Travis HamonicAGE:26PO:0OV:72
Andrej SekeraAGE:30PO:0OV:71
Ron HainseyAGE:36PO:0OV:70
*Shayne GostisbehereAGE:24PO:0OV:70
Kevin BieksaAGE:35PO:0OV:70
Barret JackmanAGE:36PO:0OV:67
David SchlemkoAGE:30PO:0OV:66
Jordan OesterleAGE:24PO:0OV:64
Robert BortuzzoAGE:28PO:0OV:64
Viktor SvedbergAGE:26PO:0OV:63
*Nikita ZaitsevAGE:25PO:0OV:61
Alex GrantAGE:27PO:0OV:60
Mike ReillyAGE:23PO:0OV:58
*Nick EbertAGE:23PO:0OV:52
*Daniel WalcottAGE:23PO:0OV:49
*Devon ToewsAGE:23PO:0OV:45
Ryan MillerAGE:36PO:0OV:78
Michal NeuvirthAGE:29PO:0OV:77
Jeremy SmithAGE:28PO:0OV:70
*Zachary FucaleAGE:21PO:0OV:64
*Nick EllisAGE:23PO:0OV:60

Prospects

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
Prospect Team NameDraft Year Overall Pick Information Lien
Alex NedeljkovicPenguins
Alexander DelnovPenguins
Alexander PechurskiPenguins
Alexander UrbomPenguins
Alexandre FortinPenguins2016177
Andrei LoktionovPenguins
Artur LautaPenguins2016252
C.J. MottePenguins2015189
Christian JarosPenguins2015142
Damien RiatPenguins2016118
Eric HartzellPenguins
Ethan ProwPenguins2016108
Fredrik ForsbergPenguins2015188
Igor ShvyryovPenguins2016220
Kole SherwoodPenguins2015168
Kyle CumiskeyPenguins
Loik LeveillePenguins2015144
Lucas CarlssonPenguins201689
Lukas BengtssonPenguins2014163
Luke GreenPenguins201675
Nathan BastianPenguins201668
Nicholas BokaPenguins2015172
Nick BetzPenguins2014212
Nick PastujovPenguins2016121
Nicolas Aube-KubelPenguins201442
Otso RantakariPenguins2014193
Raphael BussieresPenguins
Rodrigo AbolsPenguins2015187
Ryan WaltersPenguins
Simon StranskyPenguins2016136
Tyler CumaPenguins
Vincent DunnPenguins2015146
William KnierimPenguins2016251

Draft Picks

Year R1R2R3R4R5R6R7
2017DAL PIT BUF STL PIT
2018PIT PIT PIT PIT PIT PIT PIT
2019PIT PIT PIT PIT PIT PIT PIT
2020PIT PIT PIT PIT PIT PIT PIT
2021PIT PIT PIT PIT PIT PIT PIT



[15.10.2016 22:21:33] - Pascal Dupuis was added to Penguins.
[15.10.2016 22:21:34] - TRADE : From Penguins to Blackhawks : Austin Carroll (51), Y:2017-RND:2-PIT.
[15.10.2016 22:21:34] - TRADE : From Blackhawks to Penguins : Pascal Dupuis (67), Nikita Zaitsev (P), 2 000 000 Kč (Money).
[15.10.2016 22:32:32] - Carter Rowney was added to Penguins.
[15.10.2016 22:32:32] - Carter Rowney signed with Penguins for 800 000 Kč for 2 year(s) with 0 Kč in bonus.
[20.10.2016 5:28:29] - William Knierim has been added to Penguins.
[20.10.2016 5:28:37] - Artur Lauta has been added to Penguins.
[21.10.2016 4:40:40] - TRADE : From Penguins to Avalanche : Conor Allen (54).
[30.11.2016 20:51:18] - Nikita Zaitsev was added to Penguins.
[30.11.2016 20:53:52] - Drake Caggiula was added to Penguins.
[30.11.2016 20:56:10] - Roman Lyubimov was added to Penguins.
[30.11.2016 20:57:51] - Nick Ellis was added to Penguins.
[3.12.2016 21:05:54] - TRADE : From Penguins to Canadiens : Troy Grosenick (62).
[23.12.2016 20:43:03] - Mitchell Marner was added to Penguins.
[23.12.2016 20:43:04] - TRADE : From Islanders to Penguins : Mitchell Marner (57).
[23.12.2016 20:43:04] - TRADE : From Penguins to Islanders : Conor Sheary (55), Jamie Oleksiak (65), German Rubtsov (P), Caleb Jones (P), Y:2017-RND:1-PIT.
[2.1.2017 20:45:14] - Patrick Marleau is no longer captain for Penguins.
[2.1.2017 20:45:14] - Alex Ovechkin has been selected as captain for Penguins.
[2.1.2017 20:45:14] - Unknown Player is no longer as assistant for Penguins.
[2.1.2017 20:45:14] - Patrick Marleau has been selected as assistant for Penguins.
[2.1.2017 20:45:14] - Unknown Player is no longer as assistant for Penguins.
[2.1.2017 20:45:14] - Andrej Sekera has been selected as assistant for Penguins.
[4.1.2017 21:22:40] - Troy Brouwer was added to Penguins.
[4.1.2017 21:22:42] - TRADE : From Lightning to Penguins : Troy Brouwer (71).
[4.1.2017 21:22:42] - TRADE : From Penguins to Lightning : Pascal Dupuis (67), Dillon Dube (P).
[10.1.2017 20:39:29] - Alex Ovechkin is no longer captain for Penguins.
[10.1.2017 20:39:29] - Patrick Marleau has been selected as captain for Penguins.
[10.1.2017 20:39:29] - Patrick Marleau is no longer as assistant for Penguins.
[10.1.2017 20:39:29] - Alex Ovechkin has been selected as assistant for Penguins.
[10.1.2017 20:39:29] - Andrej Sekera is no longer as assistant for Penguins.
[10.1.2017 20:39:29] - Antoine Vermette has been selected as assistant for Penguins.
[17.1.2017 21:32:35] - Penguins fired Dan Bylsma.
[17.1.2017 21:32:36] - Penguins hired Mike Yeo for 1 000 000 Kč for 5 year(s).
[9.2.2017 20:48:55] - Eric Fehr was added to Penguins.
[9.2.2017 20:48:57] - TRADE : From Penguins to Devils : Jimmy Hayes (67).
[9.2.2017 20:48:57] - TRADE : From Devils to Penguins : Eric Fehr (67).
[9.2.2017 20:51:17] - J.T. Miller was added to Penguins.
[9.2.2017 20:51:17] - Alexander Steen was added to Penguins.
[9.2.2017 20:51:17] - Josh Anderson was added to Penguins.
[9.2.2017 20:51:19] - TRADE : From Penguins to Sharks : Alex Ovechkin (79), Antoine Vermette (69).
[9.2.2017 20:51:19] - TRADE : From Sharks to Penguins : J.T. Miller (67), Alexander Steen (72), Josh Anderson (56).
[20.2.2017 21:10:21] - Devon Toews was added to Penguins.
[26.2.2017 22:43:54] - Ron Hainsey was added to Penguins.
[26.2.2017 22:43:55] - TRADE : From Penguins to Rangers : Braydon Coburn (69), Connor Hall (P), Daniel Audette (P), Y:2017-RND:4-PIT.
[26.2.2017 22:43:55] - TRADE : From Rangers to Penguins : Ron Hainsey (70).
[26.2.2017 22:44:11] - Barret Jackman was added to Penguins.
[26.2.2017 22:44:13] - TRADE : From Islanders to Penguins : Barret Jackman (67).
[7.4.2017 20:33:42] - Penguins was eliminated at round 1 of year 2016.
[28.4.2017 21:21:32] - Penguins was eliminated at round 2 of year 2016.



No Injury or Suspension.


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