Pittsburgh Penguins

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Stephan | Morale : 99 | Team Overall : 66
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
1Brad Marchand0X100.00655174886484918644979371537478060781
2Bo Horvat0X100.00654294877481908295778576636667044750
3Tyler Toffoli0X100.00734393847273907436738059256871048700
4Ryan Spooner0XXX100.00764397846670867553837355536565045690
5Chris Kunitz0X100.00815487717262945935657070668593056672
6Brian Gibbons0XXX100.00674189706068826040697292255859058670
7Kevin Labanc0XX100.00634187786368947834796658805959055670
8Nolan Patrick (R)0X100.00694387807367747384687160455757055660
9Brian Gionta0X100.00734296736065697541705964638692048660
10Nick Shore0X100.00734391796967846381675881256465055660
11Jaromir Jagr0X100.00554286678564697125725753459999055641
12Jordin Tootoo0X100.00505050505050505050505050505050019490
13Aaron Ekblad0X100.00716676888288927725626188256667052750
14Cody Ceci0X100.00854594847788986225534895256869045750
15Kevin Shattenkirk0X100.00754473887380808425695161617274056691
16Zach Bogosian0X100.00779970758678586925464781757373049691
17Ian McCoshen0X100.00846081778167715725434971254747037640
18Matt Grzelcyk0X100.00694188786171896825554861255151055630
Scratches
1Kyle Connor0X100.00594092866674927833778857255656049700
2Ville Pokka0X100.00807688717680875325494364414444020620
TEAM AVERAGE100.0071508578717282704166636845656704868
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
1Cory Schneider100.0072807879757060697772446869043702
2Mackenzie Blackwood100.0050637990455250554949304444044550
Scratches
1Marcus Hogberg100.0050567087485250555151304444050540
2Daniel Taylor100.0051567072505350565151304444023530
TEAM AVERAGE100.005664748255575359575634505004058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jay Pandolfo66726848484758USA432750,000$


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 NamePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Filter Tips
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


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
Aaron EkbladPittsburgh PenguinsD2307.02.1996No216 Lbs6 ft4NoNoNo3RFAPro & Farm7,500,000$7,500,000$0$NoLink
Bo HorvatPittsburgh PenguinsC2405.04.1995No223 Lbs6 ft0NoNoNo3RFAPro & Farm5,500,000$5,500,000$0$NoLink
Brad MarchandPittsburgh PenguinsLW3111.05.1988No181 Lbs5 ft9NoNoNo3UFAPro Only6,125,000$6,125,000$0$NoLink
Brian GibbonsPittsburgh PenguinsC/LW/RW3105.02.1988No175 Lbs5 ft8NoNoNo2UFAPro & Farm450,000$450,000$0$NoLink
Brian GiontaPittsburgh PenguinsRW4018.01.1979No178 Lbs5 ft7NoNoNo2UFAPro Only450,000$450,000$0$NoLink
Chris KunitzPittsburgh PenguinsLW3926.09.1979No195 Lbs6 ft0NoNoNo1UFAPro Only900,000$900,000$0$NoLink
Cody CeciPittsburgh PenguinsD2521.12.1993No207 Lbs6 ft2NoNoNo1RFAPro & Farm4,800,000$4,800,000$0$NoLink
Cory SchneiderPittsburgh PenguinsG3318.03.1986No205 Lbs6 ft3NoNoNo1UFAPro Only6,500,000$6,500,000$0$NoLink
Daniel TaylorPittsburgh PenguinsG3328.04.1986No198 Lbs6 ft0NoNoNo1UFAPro & Farm450,000$450,000$0$NoLink
Ian McCoshenPittsburgh PenguinsD2304.08.1995No217 Lbs6 ft3NoNoNo3RFAPro & Farm925,000$925,000$0$NoLink
Jaromir JagrPittsburgh PenguinsRW4715.02.1972No230 Lbs6 ft3NoNoNo1UFAPro Only2,200,000$2,200,000$0$NoLink
Jordin TootooPittsburgh PenguinsRW3602.02.1983No195 Lbs5 ft9NoNoNo1UFAPro & Farm950,000$950,000$0$NoLink
Kevin LabancPittsburgh PenguinsLW/RW2312.12.1995No185 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$500,000$0$NoLink
Kevin ShattenkirkPittsburgh PenguinsD3029.01.1989No209 Lbs6 ft0NoNoNo1RFAPro & Farm6,800,000$6,800,000$0$NoLink
Kyle ConnorPittsburgh PenguinsLW2209.12.1996No182 Lbs6 ft1NoNoNo1RFAPro & Farm1,500,000$1,500,000$0$NoLink
Mackenzie BlackwoodPittsburgh PenguinsG2208.12.1996No224 Lbs6 ft4NoNoNo1RFAPro & Farm1,000,000$1,000,000$0$NoLink
Marcus HogbergPittsburgh PenguinsG2425.11.1994No209 Lbs6 ft5NoNoNo3RFAPro & Farm835,000$835,000$0$NoLink
Matt GrzelcykPittsburgh PenguinsD2505.01.1994No174 Lbs5 ft9NoNoNo2RFAPro & Farm1,600,000$1,600,000$0$NoLink
Nick ShorePittsburgh PenguinsC2625.09.1992No201 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$500,000$0$NoLink
Nolan PatrickPittsburgh PenguinsC2019.09.1998Yes198 Lbs6 ft2NoNoNo3RFAPro & Farm1,500,000$1,500,000$0$NoLink
Ryan SpoonerPittsburgh PenguinsC/LW/RW2730.01.1992No184 Lbs5 ft10NoNoNo3RFAPro & Farm4,000,000$4,000,000$0$NoLink
Tyler ToffoliPittsburgh PenguinsRW2723.04.1992No201 Lbs6 ft0NoNoNo2RFAPro & Farm4,600,000$4,600,000$0$NoLink
Ville PokkaPittsburgh PenguinsD2503.06.1994No214 Lbs6 ft0NoNoNo1RFAPro & Farm1,000,000$1,000,000$0$NoLink
Zach BogosianPittsburgh PenguinsD2815.07.1990No228 Lbs6 ft3NoNoNo1RFAPro Only4,400,000$4,400,000$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2428.50201 Lbs6 ft01.752,707,708$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
64,985,000$33,485,000$26,385,000$0$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brad MarchandBo HorvatTyler Toffoli28122
2Brian GiontaRyan SpoonerJaromir Jagr27122
3Chris KunitzNolan PatrickJordin Tootoo26122
4Brian GibbonsNick ShoreKevin Labanc19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Aaron EkbladCody Ceci30122
2Kevin ShattenkirkZach Bogosian30122
3Ian McCoshenMatt Grzelcyk25122
4Ian McCoshenMatt Grzelcyk15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brad MarchandBo HorvatJordin Tootoo60122
2Brad MarchandRyan SpoonerKevin Labanc40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach BogosianCody Ceci60122
2Aaron EkbladZach Bogosian40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brad MarchandBo Horvat60122
2Bo HorvatTyler Toffoli40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Cody CeciZach Bogosian60122
2Cody CeciZach Bogosian40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brad Marchand60122Aaron EkbladZach Bogosian60122
2Bo Horvat40122Cody CeciZach Bogosian40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brad MarchandBo Horvat60122
2Brad MarchandTyler Toffoli40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach BogosianCody Ceci60122
2Aaron EkbladZach Bogosian40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brad MarchandBo HorvatTyler ToffoliAaron EkbladCody Ceci
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brad MarchandBo HorvatTyler ToffoliAaron EkbladCody Ceci
Extra Forwards
Normal PowerPlayPenalty Kill
Brad Marchand, Chris Kunitz, Nolan PatrickBo Horvat, Chris KunitzNolan Patrick
Extra Defensemen
Normal PowerPlayPenalty Kill
Cody Ceci, Matt Grzelcyk, Zach BogosianAaron EkbladMatt Grzelcyk, Zach Bogosian
Penalty Shots
Brad Marchand, Bo Horvat, Chris Kunitz, Tyler Toffoli, Ryan Spooner
Goalie
#1 : Cory Schneider, #2 : Mackenzie Blackwood


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
OverallHomeVisitor
# VS Team 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 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity60875000200040001000
Ticket Price140805035250
Attendance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$18087100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 64,985,000$ 48,830,554$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 24 0

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

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 67,432,860$ 67,432,860$



Depth Chart

Left WingCenterRight Wing
Brad MarchandAGE:31PO:0OV:78
Kyle ConnorAGE:22PO:0OV:70
Ryan SpoonerAGE:27PO:0OV:69
Chris KunitzAGE:39PO:0OV:67
Brian GibbonsAGE:31PO:0OV:67
Kevin LabancAGE:23PO:0OV:67
Joakim NordstromAGE:27PO:0OV:63
Nathan GerbeAGE:31PO:0OV:62
*Yakov TreninAGE:22PO:0OV:55
Garret RossAGE:27PO:0OV:53
Rene BourqueAGE:37PO:0OV:49
Kyle ChipchuraAGE:33PO:0OV:48
Colton GilliesAGE:30PO:0OV:48
Lucas LessioAGE:26PO:0OV:48
Bo HorvatAGE:24PO:0OV:75
Ryan SpoonerAGE:27PO:0OV:69
Brian GibbonsAGE:31PO:0OV:67
*Nolan PatrickAGE:20PO:0OV:66
Nick ShoreAGE:26PO:0OV:66
Wade MeganAGE:28PO:0OV:61
Jordan SchroederAGE:28PO:0OV:58
Daniel O'ReganAGE:25PO:0OV:58
*Sean MaloneAGE:24PO:0OV:57
Cole CasselsAGE:24PO:0OV:56
*Yakov TreninAGE:22PO:0OV:55
*Christopher BrownAGE:23PO:0OV:48
Kyle ChipchuraAGE:33PO:0OV:48
*Peter QuennevilleAGE:25PO:0OV:48
Tyler ToffoliAGE:27PO:0OV:70
Ryan SpoonerAGE:27PO:0OV:69
Brian GibbonsAGE:31PO:0OV:67
Kevin LabancAGE:23PO:0OV:67
Brian GiontaAGE:40PO:0OV:66
Jaromir JagrAGE:47PO:0OV:64
Nathan GerbeAGE:31PO:0OV:62
Tom KostopoulosAGE:40PO:0OV:58
Jordan SchroederAGE:28PO:0OV:58
Daniel O'ReganAGE:25PO:0OV:58
Stephen GiontaAGE:35PO:0OV:52
Jordin TootooAGE:36PO:0OV:49
Rene BourqueAGE:37PO:0OV:49
*J.J. PiccinichAGE:22PO:0OV:48
Kyle ChipchuraAGE:33PO:0OV:48
*Peter QuennevilleAGE:25PO:0OV:48
Aaron PalushajAGE:29PO:0OV:48
Danny KristoAGE:28PO:0OV:48

Defense #1Defense #2Goalie
Aaron EkbladAGE:23PO:0OV:75
Cody CeciAGE:25PO:0OV:75
Kevin ShattenkirkAGE:30PO:0OV:69
Zach BogosianAGE:28PO:0OV:69
Ian McCoshenAGE:23PO:0OV:64
Matt GrzelcykAGE:25PO:0OV:63
Ville PokkaAGE:25PO:0OV:62
Dillon SimpsonAGE:26PO:0OV:58
*Nick DeSimoneAGE:24PO:0OV:57
Reid McNeillAGE:27PO:0OV:57
*Sergey ZborovskiyAGE:22PO:0OV:53
*Miles GendronAGE:22PO:0OV:48
*Steven JohnsonAGE:24PO:0OV:48
Joe FaustAGE:27PO:0OV:48
*Ziyat PaiginAGE:24PO:0OV:48
Matt GilroyAGE:34PO:0OV:48
Mike WeberAGE:31PO:0OV:48
Alexander UrbomAGE:28PO:0OV:48
Marco NowakAGE:28PO:0OV:48
Cory SchneiderAGE:33PO:0OV:70
Mackenzie BlackwoodAGE:22PO:0OV:55
Marcus HogbergAGE:24PO:0OV:54
Daniel TaylorAGE:33PO:0OV:53
*Chris NellAGE:24PO:0OV:52
Justin PetersAGE:32PO:0OV:49

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
Alfons MalmstromPittsburgh Penguins2016125
Axel Jonsson-FjallbyPittsburgh Penguins2016155
Benjamin MirageasPittsburgh Penguins201797
Connor HallPittsburgh Penguins201695
Dominik BokkPittsburgh Penguins201819
Gavin HainPittsburgh Penguins2018187
German RubtsovPittsburgh Penguins201635
Jack BadiniPittsburgh Penguins201799
Jason RobertsonPittsburgh Penguins201735
Joshua NorrisPittsburgh Penguins201725
Malte SetkovPittsburgh Penguins2017128
Olli JuoleviPittsburgh Penguins20165
Ryan LindgrenPittsburgh Penguins201665
Zack AndrusiakPittsburgh Penguins2018undrafted UFA 450.000

Draft Picks

Year R1R2R3R4R5R6R7
2019PIT CAR PIT PIT PIT
2020PIT PIT PIT PIT PIT ARI PIT PIT ARI
2021PIT PIT PIT PIT PIT PIT PIT
2022PIT PIT PIT PIT PIT PIT PIT
2023PIT PIT PIT PIT PIT PIT PIT



[08.04.2019 23:05:15] - Pittsburgh Penguins didn't make playoff for year 2018.
[08.04.2019 23:05:15] - Salt Lake City Lynx didn't make playoff for year 2018.
[04.02.2019 21:36:58] - TRADE : From Carolina Hurricanes to Pittsburgh Penguins : Daniel Taylor (53), Yakov Trenin (55), Zack Andrusiak (P).
[04.02.2019 21:36:58] - TRADE : From Pittsburgh Penguins to Carolina Hurricanes : Jimmy Howard (74).
[22.01.2019 22:07:58] - TRADE : From New York Rangers to Pittsburgh Penguins : Jordin Tootoo (48).
[22.01.2019 22:07:58] - TRADE : From Pittsburgh Penguins to New York Rangers : Y:2019-RND:7-PIT.
[20.01.2019 23:30:01] - TRADE : From Pittsburgh Penguins to Buffalo Sabres : Skyler Brind'Amour (P).
[20.01.2019 23:30:01] - TRADE : From Buffalo Sabres to Pittsburgh Penguins : Gavin Hain (P).
[25.11.2018 22:30:30] - TRADE : From San Jose Sharks to Pittsburgh Penguins : 20.000 € (Money).
[25.11.2018 22:30:30] - TRADE : From Pittsburgh Penguins to San Jose Sharks : Mark Stuart (49).
[22.10.2018 20:12:14] - Lucas Lessio signed with Pittsburgh Penguins for 450.000 € for 1 year(s) / Signing Bonus of 175.000 €.
[22.10.2018 20:12:14] - Lucas Lessio was added to Pittsburgh Penguins.
[02.10.2018 18:37:06] - TRADE : From Pittsburgh Penguins to New Jersey Devils : Charlie Coyle (72).
[02.10.2018 18:37:06] - TRADE : From New Jersey Devils to Pittsburgh Penguins : Tyler Toffoli (70).
[23.09.2018 10:06:02] - Brian Gionta signed with Pittsburgh Penguins for 450.000 € for 2 year(s) with 0 € in bonus.
[23.09.2018 10:06:02] - Brian Gionta was added to Pittsburgh Penguins.
[23.09.2018 10:05:39] - Tom Kostopoulos signed with Pittsburgh Penguins for 450.000 € for 1 year(s) with 0 € in bonus.
[23.09.2018 10:05:39] - Tom Kostopoulos was added to Pittsburgh Penguins.
[22.09.2018 12:01:11] - Chris Kunitz signed with Pittsburgh Penguins for 900.000 € for 1 year(s) with 0 € in bonus.
[22.09.2018 12:01:11] - Chris Kunitz was added to Pittsburgh Penguins.
[22.09.2018 11:57:51] - Pittsburgh Penguins hired Jay Pandolfo for 750.000 € for 2 year(s).
[20.09.2018 17:31:30] - TRADE : From Winnipeg Jets to Pittsburgh Penguins : Cole Cassels (56).
[20.09.2018 17:31:30] - TRADE : From Pittsburgh Penguins to Winnipeg Jets : Y:2019-RND:7-ARI.
[20.09.2018 17:31:29] - Cole Cassels was added to Pittsburgh Penguins.
[17.09.2018 08:12:16] - TRADE : From Carolina Hurricanes to Pittsburgh Penguins : Kyle Chipchura (49), Justin Peters (49), Rene Bourque (49).
[17.09.2018 08:12:16] - TRADE : From Pittsburgh Penguins to Carolina Hurricanes : 150.000 € (Money).
[17.09.2018 08:12:14] - Rene Bourque was added to Pittsburgh Penguins.
[17.09.2018 08:12:14] - Justin Peters was added to Pittsburgh Penguins.
[17.09.2018 08:12:14] - Kyle Chipchura was added to Pittsburgh Penguins.



[11.04.2019 22:32:34] Kyle Connor from Pittsburgh Penguins is back from Separated Right Shoulder Injury.
[08.04.2019 23:05:33] Marcus Hogberg from Pittsburgh Penguins is back from Broken Left Index Finger Injury.
[08.04.2019 23:04:19] Stephen Gionta from Salt Lake City Lynx is back from Torn Right Knee Ligaments Injury.



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