Login

PENGUINS
GP: 14 | W: 6 | L: 7 | OTL: 1 | P: 13
GF: 37 | GA: 47 | PP%: 11.84% | PK%: 80.53%
GM : Dave McGowan | Morale : 57 | Team Overall : 82
Next Games #184 vs MAPLE LEAFS
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
WILD
7-8-1, 15pts
3
FINAL
2 PENGUINS
6-7-1, 13pts
Team Stats
L1StreakW1
2-3-0Home Record3-5-0
5-5-1Away Record3-2-1
5-5-0Last 10 Games6-4-0
2.75Goals Per Game2.64
3.44Goals Against Per Game3.36
14.85%Power Play Percentage11.84%
81.25%Penalty Kill Percentage80.53%
PENGUINS
6-7-1, 13pts
5
FINAL
3 KINGS
9-4-4, 22pts
Team Stats
W1StreakL1
3-5-0Home Record5-3-3
3-2-1Away Record4-1-1
6-4-0Last 10 Games5-3-2
2.64Goals Per Game3.06
3.36Goals Against Per Game2.76
11.84%Power Play Percentage17.39%
80.53%Penalty Kill Percentage89.29%
MAPLE LEAFS
7-6-1, 15pts
Day 39
PENGUINS
6-7-1, 13pts
Team Stats
SOL1StreakW1
3-3-0Home Record3-5-0
4-3-1Away Record3-2-1
4-5-1Last 10 Games6-4-0
3.21Goals Per Game2.64
3.07Goals Against Per Game2.64
17.35%Power Play Percentage11.84%
83.87%Penalty Kill Percentage80.53%
PENGUINS
6-7-1, 13pts
Day 41
RANGERS
11-2-0, 22pts
Team Stats
W1StreakW7
3-5-0Home Record5-2-0
3-2-1Away Record6-0-0
6-4-0Last 10 Games9-1-0
2.64Goals Per Game3.54
3.36Goals Against Per Game3.54
11.84%Power Play Percentage21.74%
80.53%Penalty Kill Percentage86.73%
PENGUINS
6-7-1, 13pts
Day 43
FLYERS
9-6-0, 18pts
Team Stats
W1StreakL1
3-5-0Home Record4-2-0
3-2-1Away Record5-4-0
6-4-0Last 10 Games6-4-0
2.64Goals Per Game3.00
3.36Goals Against Per Game3.00
11.84%Power Play Percentage15.79%
80.53%Penalty Kill Percentage89.58%
Team Leaders
Sidney CrosbyGoals
Sidney Crosby
8
Ryan OReillyAssists
Ryan OReilly
9
Ryan OReillyPoints
Ryan OReilly
15
Marc MethotPlus/Minus
Marc Methot
6

Team Stats
Goals For
37
2.64 GFG
Shots For
420
30.00 Avg
Power Play Percentage
11.8%
9 GF
Offensive Zone Start
37.7%
Goals Against
47
3.36 GAA
Shots Against
483
34.50 Avg
Penalty Kill Percentage
80.5%%
22 GA
Defensive Zone Start
43.3%
Team Info

General ManagerDave McGowan
CoachDave Tippett
DivisionAtlantic Dvision
ConferenceEASTERN CONFERENCE
CaptainSidney Crosby
Assistant #1Ryan OReilly
Assistant #2Evgeni Malkin


Arena Info

NameCivic Arena
Capacity21,175
Attendance19,377
Season Tickets8,470


Roster Info

Pro Team21
Farm Team33
Contract Limit54 / 55
Prospects11


Salary Cap

Estimated Season Salary Cap82,772,965$
Available Salary Cap227,035$
Special Salary Cap Value0$
Players In Salary Cap21


Finance

Year to Date Revenue33,713,160$
Year To Date Expenses16,674,753$
Estimated Season Revenue134,852,640$
Estimated Season Expenses66,325,928$
Current Bank Account731,071,695$
Projected Bank Account808,042,840$


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 SPAgeContractSalary
1Sidney Crosby (C)0X100.00833199999999999992999993999494766493028310,916,000$
2Ryan OReilly (A)0XX99.0089399999999999997799999688798178659202417,557,000$
3John Tavares0XX100.0081328099999996998599998799717381599002528,171,000$
4Evgeni Malkin (A)0X100.0075307499948299998499997281767849648702929,321,000$
5Brad Marchand0XX100.0080106399878999977297977182667054638602746,750,000$
6Kyle Clifford0X100.0097657092958790807182698470515569637902433,280,000$
7David Pastrnak0X100.00968749583859187707790759732388663790202650,000$
8Riley Sheahan0XX100.0087408987948481827671838574455075617702443,000,000$
9Lance Bouma0XXX99.4490497584928786788566758670344146497602532,147,000$
10Brett Connolly0X100.0069237688848097787166767974384368607302431,550,000$
11Colby Armstrong0X100.00771789867973876769715776635256236171N0331750,000$
12Drew Doughty0X100.00843568999187959635987698557271746188026310,553,000$
13David Savard0X99.0099436988998588773673649753535651618502521,801,000$
14Marc Methot0X100.00993653999975747635675484386871216282N0304755,000$
15Mark Giordano0X100.00902065958471808033727183437475476180N0324750,009$
16Jon Merrill0X99.0069207490827798723572609145323954617802441,500,000$
17Jamie Oleksiak0X100.0086547069997768763370629846303753517802443,250,000$
18Dennis Seidenberg0X100.0060238584886985733574639256838136587803421,422,000$
Scratches
TEAM AVERAGE99.80843276929284908461817786695862586082
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 SPAgeContractSalary
1Jake Allen099.009999918299999999999399575769648902523,868,000$
2Petr Mrazek0100.0097998781949999989992984242745786N0244750,000$
Scratches
1Connor Hellebuyck (R)0100.00889381848791999999849942429061840221650,000$
TEAM AVERAGE99.6795978682939699999990994747786186
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Tippett50959998516575CAN5443,750,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Ryan OReillyPENGUINSC/LW146915400152754122711.11%425117.972131361000061150.00%72126001.1900000110
2Sidney CrosbyPENGUINSC148614200233044163918.18%326518.98022459000060053.80%31673201.0500000210
3Brad MarchandPENGUINSC/LW145611-520033246027328.33%524317.422131659000171226.32%1980000.9000000200
4Evgeni MalkinPENGUINSC147310-5100222242122016.67%222616.20213758000012050.00%19863000.8800000012
5John TavaresPENGUINSC/LW1435811751718401497.50%318213.060331359000011063.04%4683000.8800000000
6David PastrnakPENGUINSRW1434753003991961315.79%423316.70213460000000038.89%1844100.6000000101
7Riley SheahanPENGUINSC/LW1405512024182615180%624217.340334640118790050.82%12252000.4100000001
8Drew DoughtyPENGUINSD14044-23003525275180%1526118.7100066400015000%0411000.3100000000
9Kyle CliffordPENGUINSLW14224410022181851011.11%517112.25000011015721060.00%553000.4700000010
10Marc MethotPENGUINSD14033628031199650%1824717.6800003000275000%126000.2400000000
11Lance BoumaPENGUINSC/LW/RW10112-3401315103310.00%619519.540001330004540048.98%9809000.2000000000
12Mark GiordanoPENGUINSD140114140192412840%725318.11000055000028000%043000.0800000000
13David SavardPENGUINSD140111280242913770%2427819.8700001000181000%027000.0700000000
14Jon MerrillPENGUINSD140110100162312390%2326318.8400000000184000%0111000.0800000000
15Jamie OleksiakPENGUINSD9101-110091862316.67%1215116.7910100000145000%014000.1300000000
16Colby ArmstrongPENGUINSRW1410100061231533.33%31097.82000000001180046.67%1503000.1800000000
17Dennis SeidenbergPENGUINSD120112203134400%1312510.43000120000036000%001000.1600000000
18Brett ConnollyPENGUINSRW140000140301210390%420414.61000020003800016.67%121300000000000
19Nick PaulMuskegon LUMBERJACKS (PIT)LW110000809711150%1938.50000000002200047.62%421300000000000
Team Total or Average2523752891423753903634201502368.81%158400215.889122169605112307066350.62%9647185300.4400000644
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
1Connor HellebuyckPENGUINS53200.9073.21299011617274000051100
2Jake AllenPENGUINS83410.9123.074492023262109000086001
3Petr MrazekPENGUINS20100.8375.33900084923000017000
Team Total or Average156710.9033.3684021474832060001414101


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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
Brad MarchandPENGUINSC/LW271988-01-01No181 Lbs5 ft9NoNoN/AYesYes42024-04-29FalseFalsePro Only6,750,000$6,750,000$5,384,831$No6,750,000$6,750,000$6,750,000$------6,750,000$6,750,000$6,750,000$------NoNoNo------NHL Link
Brett ConnollyPENGUINSRW241992-01-01No198 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro Only1,550,000$1,550,000$1,236,517$No1,550,000$1,550,000$-------1,550,000$1,550,000$-------NoNo-------NHL Link
Colby ArmstrongPENGUINSRW331982-01-01No187 Lbs5 ft10YesNoTrade2024-06-06YesYes12024-05-23FalseFalsePro Only750,000$750,000$598,315$No---------------------------Link / NHL Link
Connor HellebuyckPENGUINSG221993-01-01Yes207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro Only650,000$650,000$518,539$No---------------------------NHL Link
David PastrnakPENGUINSRW201996-01-01No196 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro Only650,000$650,000$518,539$No650,000$--------650,000$--------No--------NHL Link
David SavardPENGUINSD251990-01-01No229 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro Only1,801,000$1,801,000$1,436,753$No1,801,000$--------1,801,000$--------No--------NHL Link
Dennis SeidenbergPENGUINSD341981-01-01No191 Lbs6 ft0NoNoTrade2024-05-27YesYes2FalseFalsePro Only1,422,000$1,422,000$1,134,404$No1,422,000$--------1,422,000$--------No--------NHL Link
Drew DoughtyPENGUINSD261989-01-01No202 Lbs6 ft1NoNoN/AYesYes3FalseFalsePro Only10,553,000$10,553,000$8,418,685$No10,553,000$10,553,000$-------10,553,000$10,553,000$-------NoNo-------NHL Link
Evgeni MalkinPENGUINSC291986-01-01No195 Lbs6 ft3NoNoTrade2024-05-16YesYes2FalseFalsePro Only9,321,000$9,321,000$7,435,854$No9,321,000$--------9,321,000$--------No--------NHL Link
Jake AllenPENGUINSG251990-01-01No203 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro Only3,868,000$3,868,000$3,085,708$No3,868,000$--------3,868,000$--------No--------Link / NHL Link
Jamie OleksiakPENGUINSD241992-01-01No257 Lbs6 ft7NoNoN/ANoNo42024-04-29FalseFalsePro Only3,250,000$3,250,000$2,592,697$No3,250,000$3,250,000$3,250,000$------3,250,000$3,250,000$3,250,000$------NoNoNo------NHL Link
John TavaresPENGUINSC/LW251990-01-01No209 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro Only8,171,000$8,171,000$6,518,438$No8,171,000$--------8,171,000$--------No--------NHL Link
Jon MerrillPENGUINSD241992-01-01No204 Lbs6 ft3NoNoFree AgentNoNo42024-04-30FalseFalsePro Only1,500,000$1,500,000$1,196,629$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------NHL Link
Kyle CliffordPENGUINSLW241991-01-01No217 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro Only3,280,000$3,280,000$2,616,629$No3,280,000$3,280,000$-------3,280,000$3,280,000$-------NoNo-------NHL Link
Lance BoumaPENGUINSC/LW/RW251990-01-01No215 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro Only2,147,000$2,147,000$1,712,775$No2,147,000$2,147,000$-------2,147,000$2,147,000$-------NoNo-------NHL Link
Marc MethotPENGUINSD301985-01-01No230 Lbs6 ft4YesNoFree AgentYesYes42024-05-22FalseFalsePro Only755,000$755,000$602,303$No755,000$755,000$755,000$------755,000$755,000$755,000$------YesYesYes------NHL Link
Mark GiordanoPENGUINSD321983-01-01No200 Lbs6 ft1YesNoFree AgentYesYes42024-05-23FalseFalsePro Only750,009$750,009$598,322$No750,009$750,009$750,009$------750,009$750,009$750,009$------YesYesYes------NHL Link
Petr MrazekPENGUINSG241992-01-01No188 Lbs6 ft2YesNoFree AgentNoNo42024-05-29FalseFalsePro Only750,000$750,000$598,315$No750,000$750,000$750,000$------750,000$750,000$750,000$------YesYesYes------NHL Link
Riley SheahanPENGUINSC/LW241991-01-01No214 Lbs6 ft2NoNoN/ANoNo42024-04-29FalseFalsePro Only3,000,000$3,000,000$2,393,258$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------NHL Link
Ryan OReillyPENGUINSC/LW241991-01-01No216 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro Only7,557,000$7,557,000$6,028,618$No---------------------------NHL Link
Sidney CrosbyPENGUINSC281987-01-01No200 Lbs5 ft11NoNoN/AYesYes3FalseFalsePro Only10,916,000$10,916,000$8,708,270$No10,916,000$10,916,000$-------10,916,000$10,916,000$-------NoNo-------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2126.14207 Lbs6 ft22.763,780,524$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
79,391,009$70,434,009$45,201,009$16,755,009$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan OReillySidney CrosbyDavid Pastrnak35023
2Brad MarchandEvgeni MalkinLance Bouma35023
3Kyle CliffordJohn TavaresBrett Connolly15023
4John TavaresRiley SheahanColby Armstrong15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Drew DoughtyJamie Oleksiak33122
2David SavardJon Merrill33122
3Marc MethotMark Giordano29122
4Drew DoughtyDavid Savard5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Evgeni MalkinSidney CrosbyBrad Marchand50005
2John TavaresRyan OReillyDavid Pastrnak50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Drew DoughtyRiley Sheahan51005
2Mark GiordanoDennis Seidenberg49005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan OReillyBrett Connolly51131
2Riley SheahanKyle Clifford49131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jon MerrillDavid Savard51140
2Jamie OleksiakMarc Methot49140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sidney Crosby51140Jamie OleksiakMarc Methot51140
2Riley Sheahan49140David SavardJon Merrill49140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sidney CrosbyBrad Marchand51122
2Evgeni MalkinRyan OReilly49122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Drew DoughtyJamie Oleksiak51122
2David SavardJon Merrill49122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ryan OReillySidney CrosbyDavid PastrnakDrew DoughtyDavid Savard
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ryan OReillySidney CrosbyLance BoumaDrew DoughtyDavid Savard
Extra Forwards
Normal PowerPlayPenalty Kill
Sidney Crosby, John Tavares, Ryan OReillyBrad Marchand, Ryan OReillyColby Armstrong
Extra Defensemen
Normal PowerPlayPenalty Kill
Drew Doughty, Jamie Oleksiak, David SavardDrew DoughtyJamie Oleksiak, David Savard
Penalty Shots
Sidney Crosby, John Tavares, David Pastrnak, Ryan OReilly, Brad Marchand
Goalie
#1 : Jake Allen, #2 : Petr Mrazek


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
1CANADIENS1000010012-1000000000001000010012-110.50012300100032131360281416257114.29%80100.00%018636351.24%20341748.68%9918453.80%2313199178
2CANUCKS11000000422110000004220000000000021.000461000211034209503092228700.00%11190.91%118636351.24%20341748.68%9918453.80%2212209178
3COYOTES11000000422110000004220000000000021.0004590003103471890311020268337.50%10280.00%018636351.24%20341748.68%9918453.80%22122010178
4ISLANDERS1010000056-11010000056-10000000000000.0005611004100301013703371419800.00%7271.43%018636351.24%20341748.68%9918453.80%21112110168
5KINGS11000000532000000000001100000053221.00058130022102211650351114343133.33%7185.71%018636351.24%20341748.68%9918453.80%1882210199
6LIGHTNING20200000413-91010000027-51010000026-400.00046100012106727221807024324913215.38%16756.25%018636351.24%20341748.68%9918453.80%452642173116
7RANGERS1010000025-31010000025-30000000000000.000235001010251078042141424400.00%7271.43%018636351.24%20341748.68%9918453.80%2112218168
8SABRES211000004311010000012-11100000031220.50045900202054211815063292653900.00%13284.62%018636351.24%20341748.68%9918453.80%381844213617
9SENATORS11000000431000000000001100000043121.000448001210351012130421614284125.00%7185.71%018636351.24%20341748.68%9918453.80%2011248147
10SHARKS1010000015-4000000000001010000015-400.00012300010022119203793341400.00%10370.00%018636351.24%20341748.68%9918453.80%1872111208
11WHALERS11000000101110000001010000000000021.00012301100031158803062228500.00%110100.00%018636351.24%20341748.68%9918453.80%21102010178
12WILD1010000023-11010000023-10000000000000.00023500101034141010042912354125.00%6183.33%018636351.24%20341748.68%9918453.80%2313198168
Total1467001003747-10835000002127-6632001001620-4130.46437528901161290420169145106048315823939076911.84%1132280.53%118636351.24%20341748.68%9918453.80%297159300136243119
_Since Last GM Reset1467001003747-10835000002127-6632001001620-4130.46437528901161290420169145106048315823939076911.84%1132280.53%118636351.24%20341748.68%9918453.80%297159300136243119
_Vs Conference935001002132-11514000001120-9421001001012-270.3892128490111550274106937503081101382265048.00%691479.71%018636351.24%20341748.68%9918453.80%1931041958515275
_Vs Division404000001124-1330300000918-91010000026-400.00011152600632012247423301454560922528.00%301163.33%018636351.24%20341748.68%9918453.80%885085366533

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1413W137528942048315823939001
All Games
GPWLOTWOTL SOWSOLGFGA
146701003747
Home Games
GPWLOTWOTL SOWSOLGFGA
83500002127
Visitor Games
GPWLOTWOTL SOWSOLGFGA
63201001620
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
76911.84%1132280.53%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1691451060161290
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
18636351.24%20341748.68%9918453.80%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
297159300136243119


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
313RANGERS5PENGUINS2LBoxScore
625PENGUINS1CANADIENS2LXBoxScore
834PENGUINS1SHARKS5LBoxScore
1046ISLANDERS6PENGUINS5LBoxScore
1153WHALERS0PENGUINS1WBoxScore
1567PENGUINS4SENATORS3WBoxScore
1779CANUCKS2PENGUINS4WBoxScore
2194PENGUINS2LIGHTNING6LBoxScore
2299LIGHTNING7PENGUINS2LBoxScore
24111SABRES2PENGUINS1LBoxScore
27123COYOTES2PENGUINS4WBoxScore
29132PENGUINS3SABRES1WBoxScore
31147WILD3PENGUINS2LBoxScore
36165PENGUINS5KINGS3WBoxScore
39184MAPLE LEAFS-PENGUINS-
41190PENGUINS-RANGERS-
43197PENGUINS-FLYERS-
45213SCOUTS-PENGUINS-
47221BRUINS-PENGUINS-
50233LIGHTNING-PENGUINS-
52245PENGUINS-LIGHTNING-
53252RANGERS-PENGUINS-
55255PENGUINS-ISLANDERS-
56263PENGUINS-FLAMES-
58276ISLANDERS-PENGUINS-
61286RED WINGS-PENGUINS-
63292PENGUINS-FLYERS-
65306BLACKHAWKS-PENGUINS-
68320FLYERS-PENGUINS-
70327PENGUINS-CANUCKS-
72344FLAMES-PENGUINS-
74355PENGUINS-MAPLE LEAFS-
76360PENGUINS-BLUES-
78374PENGUINS-WILD-
79381PENGUINS-RED WINGS-
81391LIGHTNING-PENGUINS-
83403RANGERS-PENGUINS-
85414GOLDEN KNIGHTS-PENGUINS-
88425PENGUINS-RANGERS-
90439PENGUINS-WHALERS-
94453PENGUINS-ISLANDERS-
95458PENGUINS-FLYERS-
97474SABRES-PENGUINS-
100487BLUES-PENGUINS-
103504RED WINGS-PENGUINS-
105510PENGUINS-KINGS-
107525COYOTES-PENGUINS-
110538FLYERS-PENGUINS-
111544PENGUINS-GOLDEN KNIGHTS-
113554PENGUINS-COYOTES-
115564PENGUINS-SCOUTS-
118576PENGUINS-BLUES-
121593SENATORS-PENGUINS-
122600CANADIENS-PENGUINS-
124606MAPLE LEAFS-PENGUINS-
126617PENGUINS-SENATORS-
128624PENGUINS-LIGHTNING-
131642SHARKS-PENGUINS-
133652PENGUINS-BRUINS-
135659PENGUINS-RANGERS-
136667PENGUINS-LIGHTNING-
139683PENGUINS-WILD-
140687PENGUINS-BLACKHAWKS-
Trade Deadline --- Trades can’t be done after this day is simulated!
145715ISLANDERS-PENGUINS-
147724PENGUINS-RANGERS-
149735CANUCKS-PENGUINS-
151745RANGERS-PENGUINS-
153755LIGHTNING-PENGUINS-
156768FLYERS-PENGUINS-
157773PENGUINS-ISLANDERS-
159783PENGUINS-GOLDEN KNIGHTS-
161793PENGUINS-BRUINS-
163802SHARKS-PENGUINS-
166817WHALERS-PENGUINS-
168826KINGS-PENGUINS-
170835PENGUINS-CANADIENS-
172850FLYERS-PENGUINS-
173851PENGUINS-FLYERS-
175868ISLANDERS-PENGUINS-
176870PENGUINS-ISLANDERS-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity69965983257044261200
Ticket Price1851357540999
Attendance53,83041,97420,42131,2537,534
Attendance PCT96.18%87.69%99.32%88.27%78.48%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
32 19377 - 91.51% 4,214,145$33,713,160$21175139

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
16,674,753$ 79,391,009$ 79,391,009$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
79,391,009$ 15,916,327$ 0$ 21 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
134,852,640$ 142 467,084$ 66,325,928$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
69,023,928$ 731,071,695$ 808,042,840$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
82,772,965$ 227,035$ 83,000,000$ 47,772,965$



Depth Chart

Left WingCenterRight Wing
Ryan OReillyAGE:24PO:78OV:92
John TavaresAGE:25PO:81OV:90
Brad MarchandAGE:27PO:54OV:86
Kyle CliffordAGE:24PO:69OV:79
Riley SheahanAGE:24PO:75OV:77
Lance BoumaAGE:25PO:46OV:76
Andre Burakovsky (R)AGE:20PO:77OV:72
Petr KalusAGE:28PO:1OV:72
Dustin ByfuglienAGE:30PO:56OV:71
Connor Brown (R)AGE:21PO:69OV:70
Ryan GarbuttAGE:30PO:16OV:70
Chris KellyAGE:36PO:43OV:69
Nick Paul (R)AGE:20PO:51OV:68
Michael Bunting (R)AGE:20PO:44OV:68
Colton GilliesAGE:26PO:18OV:68
Luke GazdicAGE:26PO:16OV:66
Sidney CrosbyAGE:28PO:76OV:93
Ryan OReillyAGE:24PO:78OV:92
John TavaresAGE:25PO:81OV:90
Evgeni MalkinAGE:29PO:49OV:87
Brad MarchandAGE:27PO:54OV:86
Riley SheahanAGE:24PO:75OV:77
Lance BoumaAGE:25PO:46OV:76
Nate ThompsonAGE:32PO:32OV:71
Yanick LehouxAGE:33PO:1OV:71
Connor Brown (R)AGE:21PO:69OV:70
Ryan GarbuttAGE:30PO:16OV:70
Chris KellyAGE:36PO:43OV:69
Boyd GordonAGE:32PO:37OV:69
Nick Cousins (R)AGE:22PO:54OV:68
Colton GilliesAGE:26PO:18OV:68
Johan SundstromAGE:24PO:20OV:65
Sean Malone (R)AGE:20PO:30OV:62
David PastrnakAGE:20PO:86OV:79
Lance BoumaAGE:25PO:46OV:76
Brett ConnollyAGE:24PO:68OV:73
Andre Burakovsky (R)AGE:20PO:77OV:72
Petr KalusAGE:28PO:1OV:72
Colby ArmstrongAGE:33PO:23OV:71
Jonathan CheechooAGE:36PO:2OV:71
Yanick LehouxAGE:33PO:1OV:71
Connor Brown (R)AGE:21PO:69OV:70
Joel VerminAGE:24PO:33OV:70
Ryan GarbuttAGE:30PO:16OV:70
Boyd GordonAGE:32PO:37OV:69
David ClarksonAGE:32PO:39OV:67

Defense #1Defense #2Goalie
Drew DoughtyAGE:26PO:74OV:88
David SavardAGE:25PO:51OV:85
Marc MethotAGE:30PO:21OV:82
Mark GiordanoAGE:32PO:47OV:80
Jon MerrillAGE:24PO:54OV:78
Jamie OleksiakAGE:24PO:53OV:78
Dennis SeidenbergAGE:34PO:36OV:78
Zach TrotmanAGE:25PO:30OV:73
Matt DonovanAGE:25PO:17OV:73
Derek JoslinAGE:28PO:1OV:73
Nick BoyntonAGE:36PO:1OV:73
Mat ClarkAGE:25PO:16OV:72
Zdenek KutlakAGE:35PO:1OV:72
Jake Dotchin (R)AGE:21PO:39OV:71
Jared CowenAGE:24PO:34OV:71
Simon DespresAGE:24PO:29OV:71
Tomas KundratekAGE:26PO:15OV:71
Ian McCoshen (R)AGE:20PO:40OV:69
Jake AllenAGE:25PO:69OV:89
Petr MrazekAGE:24PO:74OV:86
Connor Hellebuyck (R)AGE:22PO:90OV:84
Mike SmithAGE:33PO:83OV:79
Roberto LuongoAGE:36PO:58OV:79
Curtis McElhinneyAGE:32PO:68OV:77

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
Alex Nylander (s27)PENGUINS2731
Boris Katchouk (s27)PENGUINS2753
Christian Dvorak (s25)PENGUINS2525
Christoffer Ehn (s25)PENGUINS2579
Clark Bishop (s25)PENGUINS2573
Fredrik Karlstrom (s27)PENGUINS2775
Henrik Borgström (s27)PENGUINS2756
Jordan Kyrou (s27)PENGUINS279
Kaapo Kahkonen (s25)PENGUINS2557
Logan Brown (s27)PENGUINS2734
Nicolas Aube-Kubel (s25)PENGUINS2549

Draft Picks

Year R1R2R3R4R5R6R7
28
29
30
31
32
Conditional Draft Picks



No News Found in News Database. Please create a news.


PENGUINS Trade History




[6/18/2024 8:44:32 PM] PENGUINS lines for next game are empty. Current rosters/lines are not erased.



No Injury or Suspension.


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

PENGUINS Goalies Stat Leaders (Regular Season)

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

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

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

PENGUINS Goalies Stat Leaders (Play-Off)

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