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Pittsburgh Penguins
GP: 11 | W: 6 | L: 5 | OTL: 0 | P: 15
GF: 34 | GA: 36 | PP%: 15.15% | PK%: 82.61%
GM : Jeff | Morale : 40 | Team Overall : 77
Next Games #160 vs Florida Panthers

Game Center
Pittsburgh Penguins
6-5-0, 15pts
3
2 Winnipeg Jets
6-4-1, 18pts
Team Stats
W3StreakW1
2-3-0Home Record3-2-1
4-2-0Away Record3-2-0
5-5-0Last 10 Games6-3-1
3.09Goals Per Game2.82
3.27Goals Against Per Game2.27
15.15%Power Play Percentage11.32%
82.61%Penalty Kill Percentage75.00%
Pittsburgh Penguins
6-5-0, 15pts
4
2 Boston Bruins
6-5-0, 18pts
Team Stats
W3StreakL1
2-3-0Home Record2-4-0
4-2-0Away Record4-1-0
5-5-0Last 10 Games5-5-0
3.09Goals Per Game3.09
3.27Goals Against Per Game2.64
15.15%Power Play Percentage15.15%
82.61%Penalty Kill Percentage87.50%
Pittsburgh Penguins
6-5-0, 15pts
Day 26
Florida Panthers
4-7-0, 12pts
Team Stats
W3StreakL1
2-3-0Home Record2-4-0
4-2-0Away Record2-3-0
5-5-0Last 10 Games3-7-0
3.09Goals Per Game2.36
3.27Goals Against Per Game2.36
15.15%Power Play Percentage10.64%
82.61%Penalty Kill Percentage83.33%
Carolina Hurricanes
8-3-0, 21pts
Day 29
Pittsburgh Penguins
6-5-0, 15pts
Team Stats
W1StreakW3
3-2-0Home Record2-3-0
5-1-0Away Record4-2-0
8-2-0Last 10 Games5-5-0
3.00Goals Per Game3.09
2.45Goals Against Per Game3.09
14.89%Power Play Percentage15.15%
89.66%Penalty Kill Percentage82.61%
New York Islanders
5-5-1, 14pts
Day 32
Pittsburgh Penguins
6-5-0, 15pts
Team Stats
L1StreakW3
2-2-1Home Record2-3-0
3-3-0Away Record4-2-0
4-5-1Last 10 Games5-5-0
2.36Goals Per Game3.09
2.91Goals Against Per Game3.09
11.63%Power Play Percentage15.15%
78.38%Penalty Kill Percentage82.61%
Team Leaders
Jack HughesGoals
Jack Hughes
6
Assists
Kasperi Kapanen
10
Points
Kasperi Kapanen
12
Plus/Minus
Joel Eriksson Ek
5
Wins
Connor Hellebuyck
6
Save Percentage
Connor Hellebuyck
0.892

Team Stats
Goals For
34
3.09 GFG
Shots For
337
30.64 Avg
Power Play Percentage
15.2%
5 GF
Offensive Zone Start
37.1%
Goals Against
36
3.27 GAA
Shots Against
320
29.09 Avg
Penalty Kill Percentage
82.6%%
8 GA
Defensive Zone Start
38.0%
Team Info

General ManagerJeff
DivisionNortheast Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NamePPG Paints Arena
Capacity18,000
Attendance15,056
Season Tickets7,740


Roster Info

Pro Team21
Farm Team28
Contract Limit49 / 250
Prospects62


Finance

Year to Date Revenue5,560,325$
Year To Date Expenses8,624,136$
Estimated Season Revenue38,922,275$
Estimated Season Expenses58,931,596$
Current Bank Account136,541,018$
Projected Bank Account116,862,263$


Filter Tips
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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
# 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 SPAgeContractSalary
1Jake Guentzel0X100.0092448396559092886986917289748055408103015,250,000$
2Jack Hughes0X100.0058389196589399917591906692887440408102414,680,000$
3Jordan Kyrou0X100.0057458488758893896790907087747455408002717,500,000$
4Kasperi Kapanen0X100.0078448591708686837990907082777955408002817,500,000$
5Matt Boldy0X100.0063528584758995857085907285697855407902414,680,000$
6Seth Jarvis (R)0X100.0081428699539294787383857083677055407802324,680,000$
7Ryan Nugent-Hopkins0X100.0056439594679095819081817179807755407703213,600,000$
8Joel Eriksson Ek0X100.0089508476828990749280787573778455407602821,350,000$
9Nick Ritchie0X100.009264686293848473707771716778785540720292550,000$
10Rasmus Asplund0X100.006145848273818066676973737172745540700272500,000$
11Tom Kuhnhackl0X100.007643767472807569637369656981675540690331850,000$
12Dominic Toninato0X100.007847747276777964786765706680725540680312500,000$
13Josh Morrissey0X100.0093467885809898796984748873797455408203034,285,715$
14Brandon Carlo0X100.0091589077998994757483678466778955408002813,000,000$
15Martin Fehervary0X100.00995084838591997550777083697186554080N02513,480,000$
16Calen Addison0X100.005938859963829082538773727873755540760251700,000$
17Vladislav Gavrikov0X100.0073528773938586735075678266787555407502911,350,000$
18Jonas Siegenthaler0X100.0062558473958184705073668064778455407402811,200,000$
Scratches
1Juuso Valimaki0X100.005853817589798273507664766471705540720263500,000$
Farm Team
1Kirill Marchenko (R)0X100.005942848475908280608285718170805540760243800,000$
2Marco Rossi (R)0X100.0061408389558989758280786478687855407402331,750,000$
3Ridly Greig (R)0X99.0088496689698593698073757775656855407402221,000,000$
4Bobby Brink (R)0X99.0058338493508383697373777176686955407202321,000,000$
5Matt Coronato (R)0X100.0055458388618880717072777077657555407202231,500,000$
6Axel Jonsson-Fjallby0X100.006944797573778563586665726776775540680271800,000$
7Dominik Simon0X100.007544757764757665676969676978665540680301560,000$
8Jiri Kulich (R)0X100.0056357889588080637768716472636355406802131,250,000$
9Greg McKegg0X100.006446756867777664796864636581725540660331500,000$
10Oskar Sundqvist0X100.007050766879727263756764656577705540660312500,000$
11Martin Frk0X100.005846756578756962556366656578705540650311700,000$
12Trey Fix-Wolansky0X100.005735807757707060526261736475695540650262600,000$
13Joe Morrow0X100.006747867190808272507366766380835540730321950,000$
14Kris Letang0X100.008150676690818263506759725788865540720381650,000$
15Nick DeSimone0X100.006044817477717970507264746279795540700303800,000$
16NICLAS ALMARI0X100.005545827876606065487363846272825240700271250,000$
17Paul LaDue0X100.007148786883717166506762666079725540670321650,000$
18Juuso Riikola0X100.008840827450697162506461675878675540660312500,000$
19Dennis Rasmussen0X100.006047816477738161776463656281765540650341750,000$
20Tomas Nosek0X100.005947756481767860726664686278685540650322700,000$
21Jack Studnicka0X100.007342797075728060695661676375685540640262700,000$
22Kyle Criscuolo0X100.006035757750687757616661686379605540640331675,000$
23EETU PELTOLA0X100.005648746986606062486963745969695240660251275,000$
24Jack Rathbone0X100.005435818458687661506161646273705540650261600,000$
25Ethan Prow0X100.005140847560657360505662655978725540640321650,000$
26Ashton Sautner0X100.006715827655686760506059645865607540630311650,000$
TEAM AVERAGE99.96694481797280827064737171697574554072
Filter Tips
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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
# Goalie Name #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Connor Hellebuyck0100.007487878683858684848584816855408103237,000,000$
2Petr Mrazek0100.008282858284848584878483826855408003323,600,000$
Scratches
Farm Team
1Reto Berra098.007065708677818178778179897055407603811,050,000$
2STEFANOS LEKKAS0100.00796060747877787878777874625240720291275,000$
TEAM AVERAGE99.5076747682818283818282818267544077
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# 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
1Kasperi KapanenPittsburgh PenguinsC1121012-31151019243148.33%417315.75134425000001151.43%17525001.3900001000
2Matt BoldyPittsburgh PenguinsLW115712511572244152611.36%321919.940000200225410036.36%1165001.0900100120
3Jack HughesPittsburgh PenguinsLW116410-3005123582317.14%217215.69314727000002060.00%542001.1600000101
4Jake GuentzelPittsburgh PenguinsLW11279-160239317246.45%518817.100444270002110030.77%1386000.9600000100
5Joel Eriksson EkPittsburgh PenguinsC116175271520162571424.00%821219.360001201122422049.41%25323000.6600021010
6Jordan KyrouPittsburgh PenguinsRW11235-120711216159.52%317215.67000021000000028.57%752000.5800000020
7Josh MorrisseyPittsburgh PenguinsD11235-14153621178811.76%1526924.48101330112233010%049000.3700001011
8Rasmus AsplundPittsburgh PenguinsRW11235340108103620.00%515213.8500000000001050.00%1033000.6600000000
9Ryan Nugent-HopkinsPittsburgh PenguinsC112350008251961410.53%420018.270001290005220052.45%14333100.5000000100
10Seth JarvisPittsburgh PenguinsRW11325-540141519151115.79%216915.45000019000000075.00%423000.5900000000
11Brandon CarloPittsburgh PenguinsD11033120162616450%1723821.6800000000246000%0010000.2500000000
12Calen AddisonPittsburgh PenguinsD11033-30061512790%1217215.6800011900002000%076000.3500000000
13Martin FehervaryPittsburgh PenguinsD1103306029209470%1422020.0800000000025000%054000.2700000000
14Vladislav GavrikovPittsburgh PenguinsD11033511571710610%1220118.3500000000023000%016000.3000001000
15Tom KuhnhacklPittsburgh PenguinsLW1111202355313367.69%1847.680000000021000%010000.4700001000
16Jonas SiegenthalerPittsburgh PenguinsD11011-42041213310%1016515.0000000000016000%0210000.1200000000
17Nick RitchiePittsburgh PenguinsRW11101-1255168153116.67%611510.45000030002200075.00%832000.1700001000
18Dominic ToninatoPittsburgh PenguinsC110000207104160%3978.8200000000080038.24%341100000000000
Team Total or Average198345791-31774523026933710920110.09%126322616.30581321248246222986249.77%6635980100.5600126462
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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Connor HellebuyckPittsburgh Penguins86200.8923.11482002523293000083100
2Petr MrazekPittsburgh Penguins30300.8753.6917900118844000038000
Team Total or Average116500.8873.2766100363201370001111100


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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 Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Brandon Carlo (1 Way Contract)Pittsburgh PenguinsD281996-11-26USANo216 Lbs6 ft5NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,000,000$2,617,021$0$0$No---------------------------Link
Calen AddisonPittsburgh PenguinsD252000-04-11CANNo172 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm700,000$610,638$0$0$No---------------------------Link
Connor Hellebuyck (1 Way Contract)Pittsburgh PenguinsG321993-05-19USANo207 Lbs6 ft4NoNoFree AgentNoNo32025-10-03FalseFalsePro & Farm7,000,000$6,106,383$0$0$No7,000,000$7,000,000$-------7,000,000$7,000,000$-------NoNo-------Link
Dominic ToninatoPittsburgh PenguinsC311994-03-09USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$436,170$0$0$No500,000$--------500,000$--------No--------Link
Jack Hughes (1 Way Contract)Pittsburgh PenguinsLW242001-05-14USANo176 Lbs5 ft11NoNoProspectNoNo12025-09-30FalseFalsePro & Farm4,680,000$4,082,553$0$0$No---------------------------Link / NHL Link
Jake Guentzel (1 Way Contract)Pittsburgh PenguinsLW301994-10-06USANo181 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,250,000$4,579,787$0$0$No---------------------------Link
Joel Eriksson EkPittsburgh PenguinsC281997-01-29SWENo207 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,350,000$1,177,660$0$0$No1,350,000$--------1,350,000$--------No--------Link
Jonas SiegenthalerPittsburgh PenguinsD281997-05-06CHENo218 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,200,000$1,046,809$0$0$No---------------------------Link
Jordan Kyrou (1 Way Contract)Pittsburgh PenguinsRW271998-05-05CANNo174 Lbs6 ft0NoNoFree AgentNoNo12025-10-13FalseFalsePro & Farm7,500,000$6,542,553$0$0$No---------------------------Link
Josh Morrissey (1 Way Contract)Pittsburgh PenguinsD301995-03-28CANNo194 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,285,715$3,738,602$0$0$No4,285,715$4,285,715$-------4,285,715$4,285,715$-------NoNo-------Link
Juuso ValimakiPittsburgh PenguinsD261998-10-06FINNo212 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$436,170$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Kasperi Kapanen (1 Way Contract)Pittsburgh PenguinsC281996-07-23FINNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm7,500,000$6,542,553$0$0$No---------------------------Link
Martin Fehervary (1 Way Contract)Pittsburgh PenguinsD251999-10-06SVKNo203 Lbs6 ft2YesNoFree AgentNoNo12025-10-19FalseFalsePro Only3,480,000$3,035,745$0$0$No---------------------------Link
Matt Boldy (1 Way Contract)Pittsburgh PenguinsLW242001-04-05USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm4,680,000$4,082,553$0$0$No---------------------------Link
Nick RitchiePittsburgh PenguinsRW291995-12-05CANNo236 Lbs6 ft3NoNoFree AgentNoNo22025-11-01FalseFalsePro & Farm550,000$479,787$0$0$No550,000$--------550,000$--------No--------
Petr Mrazek (1 Way Contract)Pittsburgh PenguinsG331992-02-14CZENo187 Lbs6 ft2NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm3,600,000$3,140,426$0$0$No3,600,000$--------3,600,000$--------No--------Link
Rasmus AsplundPittsburgh PenguinsRW271997-12-03SWENo185 Lbs5 ft11NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$436,170$0$0$No500,000$--------500,000$--------No--------Link
Ryan Nugent-Hopkins (1 Way Contract)Pittsburgh PenguinsC321993-04-12CANNo194 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,600,000$3,140,426$0$0$No---------------------------Link
Seth Jarvis (1 Way Contract)Pittsburgh PenguinsRW232002-02-01CANYes174 Lbs5 ft10NoNoProspectNoNo22025-10-07FalseFalsePro & Farm4,680,000$4,082,553$0$0$No4,680,000$--------4,680,000$--------No--------Link
Tom KuhnhacklPittsburgh PenguinsLW331992-01-21DEUNo196 Lbs6 ft2NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm850,000$741,489$0$0$No---------------------------
Vladislav GavrikovPittsburgh PenguinsD291995-11-21RUSNo214 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,350,000$1,177,660$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2128.19197 Lbs6 ft11.573,178,844$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
66,755,715$22,965,715$11,785,715$0$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jake GuentzelKasperi KapanenSeth Jarvis31005
2Jack HughesRyan Nugent-HopkinsJordan Kyrou31005
3Matt BoldyJoel Eriksson EkRasmus Asplund31014
4Tom KuhnhacklDominic ToninatoNick Ritchie7023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh MorrisseyBrandon Carlo40023
2Martin FehervaryVladislav Gavrikov34023
3Jonas SiegenthalerCalen Addison26023
4Jonas SiegenthalerCalen Addison0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jake GuentzelKasperi KapanenJack Hughes60005
2Matt BoldyJoel Eriksson EkJordan Kyrou40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan Nugent-HopkinsJosh Morrissey60014
2Seth JarvisCalen Addison40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Joel Eriksson EkMatt Boldy60041
2Ryan Nugent-HopkinsNick Ritchie40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh MorrisseyBrandon Carlo60140
2Martin FehervaryVladislav Gavrikov40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Joel Eriksson Ek60050Josh MorrisseyBrandon Carlo60140
2Ryan Nugent-Hopkins40050Martin FehervaryVladislav Gavrikov40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Joel Eriksson EkSeth Jarvis60014
2Ryan Nugent-HopkinsMatt Boldy40014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh MorrisseyMartin Fehervary60023
2Calen AddisonBrandon Carlo40023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jack HughesKasperi KapanenJake GuentzelRyan Nugent-HopkinsJosh Morrissey
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jake GuentzelRyan Nugent-HopkinsJordan KyrouBrandon CarloJosh Morrissey
Extra Forwards
Normal PowerPlayPenalty Kill
Nick Ritchie, Matt Boldy, Jordan KyrouNick Ritchie, Jordan KyrouMatt Boldy
Extra Defensemen
Normal PowerPlayPenalty Kill
Jonas Siegenthaler, Calen Addison, Vladislav GavrikovMartin FehervaryJonas Siegenthaler, Vladislav Gavrikov
Penalty Shots
Jack Hughes, Jake Guentzel, Jordan Kyrou, Matt Boldy, Seth Jarvis
Goalie
#1 : Connor Hellebuyck, #2 : Petr Mrazek
Custom OT Lines Forwards
Kasperi Kapanen, Jack Hughes, Ryan Nugent-Hopkins, Jake Guentzel, Joel Eriksson Ek, Matt Boldy, Seth Jarvis, Jordan Kyrou, Dominic Toninato, Nick Ritchie
Custom OT Lines Defensemen
Josh Morrissey, Calen Addison, Brandon Carlo, Martin Fehervary, Vladislav Gavrikov


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
1Boston Bruins11000000422000000000001100000042231.000461000004026106100291113136116.67%40100.00%013224454.10%11525046.00%8316450.61%2010229168
2Chicago Blackhawks1010000013-21010000013-20000000000000.00012300001019658032111020100.00%50100.00%013224454.10%11525046.00%8316450.61%199229188
3Hamilton Mustangs1010000034-1000000000001010000034-100.00035800102036121113033156175120.00%3233.33%013224454.10%11525046.00%8316450.61%2113228157
4Montreal Canadiens11000000642000000000001100000064231.00061117001230461110250241045192150.00%5260.00%013224454.10%11525046.00%8316450.61%2314207168
5Ottawa Senators10001000541100010005410000000000020.667571200301128146533492717200.00%6183.33%013224454.10%11525046.00%8316450.61%2212219168
6Philadelphia Flyers1010000014-3000000000001010000014-300.00011200001027999026121113300.00%30100.00%013224454.10%11525046.00%8316450.61%2011239167
7Quebec Nordiques1010000035-21010000035-20000000000000.000358001020371072003379334125.00%20100.00%013224454.10%11525046.00%8316450.61%2414198167
8St Louis Blues11000000431110000004310000000000031.0004711003100246144030101726200.00%6183.33%113224454.10%11525046.00%8316450.61%2112219178
9Tampa Bay Lightning1010000024-21010000024-20000000000000.00024600110034131560238625200.00%3166.67%013224454.10%11525046.00%8316450.61%2415187168
10Toronto Maple Leafs10001000211000000000001000100021120.6672350000112531110128192322300.00%4175.00%113224454.10%11525046.00%8316450.61%189238178
11Winnipeg Jets10001000321000000000001000100032120.6673690011013571585281410253133.33%50100.00%013224454.10%11525046.00%8316450.61%2414198178
Total1135030003436-2513010001519-46220200019172150.45534579100115153337101109118932012617723033515.15%46882.61%213224454.10%11525046.00%8316450.61%2401402349618690
_Since Last GM Reset1135030003436-2513010001519-46220200019172150.45534579100115153337101109118932012617723033515.15%46882.61%213224454.10%11525046.00%8316450.61%2401402349618690
_Vs Conference824020002628-2302010001013-35220100016151100.417264268007314225982759842309114015927414.81%30776.67%113224454.10%11525046.00%8316450.61%1751031716813366
_Vs Division613020002022-22010100089-1412010001213-170.389203252006210219959548241787212112119315.79%23673.91%113224454.10%11525046.00%8316450.61%13077130519948

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1115W334579133732012617723000
All Games
GPWLOTWOTL SOWSOLGFGA
113530003436
Home Games
GPWLOTWOTL SOWSOLGFGA
51310001519
Visitor Games
GPWLOTWOTL SOWSOLGFGA
62220001917
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
33515.15%46882.61%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1011091189115153
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
13224454.10%11525046.00%8316450.61%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2401402349618690


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
13Pittsburgh Penguins6Montreal Canadiens4WBox score
317Pittsburgh Penguins3Hamilton Mustangs4LBox score
531Pittsburgh Penguins1Philadelphia Flyers4LBox score
745Ottawa Senators4Pittsburgh Penguins5WXBox score
963Tampa Bay Lightning4Pittsburgh Penguins2LBox score
1171Pittsburgh Penguins2Toronto Maple Leafs1WXBox score
1387Quebec Nordiques5Pittsburgh Penguins3LBox score
15103Chicago Blackhawks3Pittsburgh Penguins1LBox score
17114St Louis Blues3Pittsburgh Penguins4WBox score
19128Pittsburgh Penguins3Winnipeg Jets2WXBox score
23147Pittsburgh Penguins4Boston Bruins2WBox score
26160Pittsburgh Penguins-Florida Panthers-
29174Carolina Hurricanes-Pittsburgh Penguins-
32190New York Islanders-Pittsburgh Penguins-
36208New York Rangers-Pittsburgh Penguins-
39222Pittsburgh Penguins-New Jersey Devils-
42236New Jersey Devils-Pittsburgh Penguins-
45247Pittsburgh Penguins-New York Rangers-
48261Pittsburgh Penguins-New York Islanders-
50272Pittsburgh Penguins-Carolina Hurricanes-
53286Florida Panthers-Pittsburgh Penguins-
56302Boston Bruins-Pittsburgh Penguins-
60320Pittsburgh Penguins-Columbus Blue Jackets-
62331Los Angeles Kings-Pittsburgh Penguins-
64344Seattle Kraken-Pittsburgh Penguins-
66362Pittsburgh Penguins-Vegas Golden Knights-
68367Toronto Maple Leafs-Pittsburgh Penguins-
70387Pittsburgh Penguins-Tampa Bay Lightning-
72402Pittsburgh Penguins-Ottawa Senators-
73409Philadelphia Flyers-Pittsburgh Penguins-
77433Edmonton Oilers-Pittsburgh Penguins-
79447Pittsburgh Penguins-Colorado Avalanche-
81461Pittsburgh Penguins-Detroit Red Wings-
83468New York Islanders-Pittsburgh Penguins-
85479New York Rangers-Pittsburgh Penguins-
88495Pittsburgh Penguins-New Jersey Devils-
92517Pittsburgh Penguins-Anaheim Mighty Ducks-
93524Anaheim Mighty Ducks-Pittsburgh Penguins-
95538California Golden Seals-Pittsburgh Penguins-
98559Pittsburgh Penguins-California Golden Seals-
100573Pittsburgh Penguins-San Jose Sharks-
102587Vancouver Canucks-Pittsburgh Penguins-
105601Hamilton Mustangs-Pittsburgh Penguins-
108616Montreal Canadiens-Pittsburgh Penguins-
111630Pittsburgh Penguins-Quebec Nordiques-
113639Pittsburgh Penguins-Boston Bruins-
116653Pittsburgh Penguins-Florida Panthers-
120672Carolina Hurricanes-Pittsburgh Penguins-
122679Pittsburgh Penguins-Seattle Kraken-
123691Pittsburgh Penguins-Los Angeles Kings-
125707Columbus Blue Jackets-Pittsburgh Penguins-
127721Winnipeg Jets-Pittsburgh Penguins-
130739Pittsburgh Penguins-St Louis Blues-
132751Pittsburgh Penguins-Chicago Blackhawks-
134757Toronto Maple Leafs-Pittsburgh Penguins-
136777Tampa Bay Lightning-Pittsburgh Penguins-
138787Ottawa Senators-Pittsburgh Penguins-
140801Pittsburgh Penguins-Philadelphia Flyers-
144821Vegas Golden Knights-Pittsburgh Penguins-
146832Pittsburgh Penguins-Edmonton Oilers-
149848Colorado Avalanche-Pittsburgh Penguins-
151859Detroit Red Wings-Pittsburgh Penguins-
154881San Jose Sharks-Pittsburgh Penguins-
156895Pittsburgh Penguins-Vancouver Canucks-
159909Pittsburgh Penguins-New York Islanders-
161921Pittsburgh Penguins-New York Rangers-
163937New Jersey Devils-Pittsburgh Penguins-
165951Pittsburgh Penguins-Carolina Hurricanes-
167965Florida Panthers-Pittsburgh Penguins-
169980Boston Bruins-Pittsburgh Penguins-
Trade Deadline --- Trades can’t be done after this day is simulated!
172988Pittsburgh Penguins-Toronto Maple Leafs-
1741006Pittsburgh Penguins-Tampa Bay Lightning-
1761021Pittsburgh Penguins-Ottawa Senators-
1781032Philadelphia Flyers-Pittsburgh Penguins-
1801039Hamilton Mustangs-Pittsburgh Penguins-
1811053Pittsburgh Penguins-Hamilton Mustangs-
1831067Pittsburgh Penguins-Montreal Canadiens-
1841081Montreal Canadiens-Pittsburgh Penguins-
1861095Quebec Nordiques-Pittsburgh Penguins-
1871116Pittsburgh Penguins-Quebec Nordiques-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price92513023186
Attendance26,47419,9428,38715,3605,117
Attendance PCT89.14%82.07%84.72%77.58%81.22%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
35 15056 - 83.64% 1,112,065$5,560,325$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
8,624,136$ 67,555,715$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 8,624,136$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
38,922,275$ 164 359,339$ 58,931,596$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
60,701,156$ 136,541,018$ 116,862,263$



Depth Chart

Left WingCenterRight Wing
Jake GuentzelAGE:30PO:55OV:81
Jack HughesAGE:24PO:40OV:81
Matt BoldyAGE:24PO:55OV:79
Bobby Brink (R)AGE:23PO:55OV:72
Tom KuhnhacklAGE:33PO:55OV:69
Axel Jonsson-FjallbyAGE:27PO:55OV:68
Dominik SimonAGE:30PO:55OV:68
Oskar SundqvistAGE:31PO:55OV:66
Jack StudnickaAGE:26PO:55OV:64
Kasperi KapanenAGE:28PO:55OV:80
Ryan Nugent-HopkinsAGE:32PO:55OV:77
Joel Eriksson EkAGE:28PO:55OV:76
Marco Rossi (R)AGE:23PO:55OV:74
Ridly Greig (R)AGE:22PO:55OV:74
Dominic ToninatoAGE:31PO:55OV:68
Jiri Kulich (R)AGE:21PO:55OV:68
Greg McKeggAGE:33PO:55OV:66
Dennis RasmussenAGE:34PO:55OV:65
Tomas NosekAGE:32PO:55OV:65
Jordan KyrouAGE:27PO:55OV:80
Seth Jarvis (R)AGE:23PO:55OV:78
Kirill Marchenko (R)AGE:24PO:55OV:76
Matt Coronato (R)AGE:22PO:55OV:72
Nick RitchieAGE:29PO:55OV:72
Rasmus AsplundAGE:27PO:55OV:70
Martin FrkAGE:31PO:55OV:65
Trey Fix-WolanskyAGE:26PO:55OV:65
Kyle CriscuoloAGE:33PO:55OV:64

Defense #1Defense #2Goalie
Josh MorrisseyAGE:30PO:55OV:82
Brandon CarloAGE:28PO:55OV:80
Martin FehervaryAGE:25PO:55OV:80
Calen AddisonAGE:25PO:55OV:76
Vladislav GavrikovAGE:29PO:55OV:75
Jonas SiegenthalerAGE:28PO:55OV:74
Joe MorrowAGE:32PO:55OV:73
Juuso ValimakiAGE:26PO:55OV:72
Kris LetangAGE:38PO:55OV:72
Nick DeSimoneAGE:30PO:55OV:70
NICLAS ALMARIAGE:27PO:52OV:70
Paul LaDueAGE:32PO:55OV:67
Juuso RiikolaAGE:31PO:55OV:66
EETU PELTOLAAGE:25PO:52OV:66
Jack RathboneAGE:26PO:55OV:65
Ethan ProwAGE:32PO:55OV:64
Ashton SautnerAGE:31PO:75OV:63
Connor HellebuyckAGE:32PO:55OV:81
Petr MrazekAGE:33PO:55OV:80
Reto BerraAGE:38PO:55OV:76
STEFANOS LEKKASAGE:29PO:52OV:72

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
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
0x LTCsPittsburgh Penguins000Link
1 000 000 NSHL25 Waiver BucksPittsburgh Penguins00
1x NSHL26 ODW ClaimPittsburgh Penguins000Link
1x RFA TagPittsburgh Penguins000Link
20x TC PTSPittsburgh Penguins000Link
Aaron HuglenPittsburgh Penguins191250Link
Adam JiricekPittsburgh Penguins24230Link
Adam SykoraPittsburgh Penguins22530Link
Akil ThomasPittsburgh Penguins18460Link
Aleksandr KisakovPittsburgh Penguins21690Link
Aleksi HeimosalmiPittsburgh Penguins21600Link
Alexander NikishinPittsburgh Penguins22260Link
Andrew StrathmannPittsburgh Penguins231520Link
Anton JohanssonPittsburgh Penguins251920Link
Beau AkeyPittsburgh Penguins23960Link
Ben DanfordPittsburgh Penguins24630Link
Brandon SvobodaPittsburgh Penguins231690Link
Daemon HuntPittsburgh Penguins21630Link
Daniil ProkhorovPittsburgh Penguins25490Link
David EdstromPittsburgh Penguins23460Link
Dmitry OvchinnikovPittsburgh Penguins201030Link
Donovan SebrangoPittsburgh Penguins221600Link
Elmer SoderblomPittsburgh Penguins211130Link
Eriks MateikoPittsburgh Penguins241070Link
Ethan GauthierPittsburgh Penguins23470Link
Etienne MorinPittsburgh Penguins23670Link
Filip LindbergPittsburgh Penguins211150Link
Grigori DenisenkoPittsburgh Penguins18290Link
Helge GransPittsburgh Penguins20360Link
Hendrix LapierrePittsburgh Penguins20240Link
Ilya FedotovPittsburgh Penguins211160Link
Isak RosenPittsburgh Penguins21180Link
Jack Hughes DOB 2003Pittsburgh Penguins22510Link
Jayden PerronPittsburgh Penguins23720Link
Jordan GustafsonPittsburgh Penguins221350Link
Jordy BellerivePittsburgh Penguins18510Link
Julius MiettinenPittsburgh Penguins24490Link
Julius SumpfPittsburgh Penguins251350Link
Juraj PekarcikPittsburgh Penguins231200Link
Justin KipkiePittsburgh Penguins251640Link
Kirill KirsanovPittsburgh Penguins22480Link
Ludwig PerssonPittsburgh Penguins221370Link
Martin ChromiakPittsburgh Penguins20880Link
Matej BlumelPittsburgh Penguins221520Link
Matyas SapovalivPittsburgh Penguins22890Link
Max PlantePittsburgh Penguins24870Link
Miroslav HolinkaPittsburgh Penguins25780Link
Oliver MoorePittsburgh Penguins23160Link
Peyton KettlesPittsburgh Penguins25570Link
Philippe DesrosiersPittsburgh Penguins13870Link
Prokhor PoltapovPittsburgh Penguins21500Link
Radim MrtkaPittsburgh Penguins25250Link
Raphael LavoiePittsburgh Penguins19230Link
Ryan ChesleyPittsburgh Penguins22410Link
Ryan GreenePittsburgh Penguins221120Link
Sam O'ReillyPittsburgh Penguins24380Link
Sampo RantaPittsburgh Penguins181050Link
Samuel PoulinPittsburgh Penguins19340Link
Yegor BorikovPittsburgh Penguins251060Link
Yevgeni VolokhinPittsburgh Penguins241110Link
Zach NehringPittsburgh Penguins231620Link
Zion NybeckPittsburgh Penguins20770Link

Draft Picks

Year R1R2R3R4R5R6R7
26
27
28
29
30
Conditional Draft Picks




The STHS News Database File was not found or corrupted. Please create one in the League News Management section of the website logged in as a Commissioner.




Pittsburgh Penguins Trade History

[2026-02-07 2:08:51 PM] New Record for Team's Most Hits (33) in 1 Game for Pittsburgh Penguins!
[2026-02-05 12:28:01 PM] New Record for Team's Most Shots Blocked (19) in 1 Game for Pittsburgh Penguins!
[2026-02-05 12:28:01 PM] New Record for Team's Most Shots Blocked (19) in 1 Game for Pittsburgh Penguins!
[2026-02-03 2:12:01 PM] New Record for Team's Most Hits (25) in 1 Game for Pittsburgh Penguins!



No Injury or Suspension.


Pittsburgh Penguins Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Pittsburgh Penguins Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Pittsburgh Penguins Career Team Stats

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

Pittsburgh Penguins Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Pittsburgh Penguins Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA