Please rotate your device to landscape mode for a better experience.
Login

Penguins
GP: 86 | W: 33 | L: 38 | OTL: 15 | P: 81
GF: 165 | GA: 213 | PP%: 29.38% | PK%: 67.11%
GM : Scotty Mitchell | Morale : 30 | Team Overall : 56

Game Center
Penguins
33-38-15, 81pts
1
0 Wolf Pack
31-41-14, 76pts
Team Stats
L1StreakW1
18-14-11Home Record16-24-3
15-24-4Home Record15-17-11
4-4-2Last 10 Games1-7-2
1.92Goals Per Game1.95
2.48Goals Against Per Game2.97
29.38%Power Play Percentage25.00%
67.11%Penalty Kill Percentage70.49%
Penguins
33-38-15, 81pts
0
1 Wolves
37-37-12, 86pts
Team Stats
L1StreakL1
18-14-11Home Record18-18-7
15-24-4Home Record19-19-5
4-4-2Last 10 Games7-2-1
1.92Goals Per Game1.70
2.48Goals Against Per Game2.28
29.38%Power Play Percentage22.16%
67.11%Penalty Kill Percentage72.00%
Team Leaders
Goals
Jagger Firkus
28
Assists
Jagger Firkus
36
Points
Jagger Firkus
64
Plus/Minus
Eamon Powell
6
Wins
Jacob Fowler
33
Save Percentage
Ryan Fanti
0.886

Team Stats
Goals For
165
1.92 GFG
Shots For
1144
13.30 Avg
Power Play Percentage
29.4%
52 GF
Offensive Zone Start
32.9%
Goals Against
213
2.48 GAA
Shots Against
1574
18.30 Avg
Penalty Kill Percentage
67.1%%
50 GA
Defensive Zone Start
41.9%
Team Info

General ManagerScotty Mitchell
CoachAlex Burrows
DivisionDivision 4
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,148
Season Tickets1,500


Roster Info

Pro Team26
Farm Team34
Contract Limit60 / 100
Prospects167


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
1Jagger Firkus (R)X100.0070609168627984625060615755474759656102231,286,000$
2Akil Thomas (R)XX100.0082689172725550614459576525494959245902621,132,000$
3Matt StienburgX100.0073717780714541617660596055474759455902512,999,999$
4Matvey Petrov (R)X100.0080759367786467545049586254474758705802331,285,000$
5Oscar Fisker Molgaard (R)X100.0072619983645150577050615955474758615802131,304,000$
6Jackson CatesXXX100.0075708964707379526546555951474756755702811,040,000$
7Joel TeasdaleX100.0077767765767177525048535948474754485702711,078,000$
8Viktor NeuchevX100.0071639567654846585057565954474657575602231,289,000$
9Roman AhcanX100.006861886661555556504662576047475738550272986,000$
10Filip Mesar (R)X100.0070658867685960525056455745474754505502231,277,000$
11Ben BerardX100.0069707480703632535036685867474658525502712,999,999$
12Cooper WalkerX100.0075689064694544536647546251454556225402312,999,999$
13Trenton Bliss (R)X100.0075718580713632525038616258444458225402831,420,000$
14Noah Warren (R)X100.0083838264866976462536406337474749676002131,284,000$
15Luke Krys (R)X100.0074708464707076512544425839474750545802512,999,999$
16Griffin Luce (R)X100.0085809980803230402526386137474747215502831,406,000$
17Akito HiroseX100.0067647663645354502543425440474748615402712,999,999$
18Colin Felix (R)X100.0070746062744545452534405638454547235202712,999,999$
19Alex Kannok LeipertX100.006873626273505244253240543947474538520252984,000$
Scratches
1Gavin Brindley (R)X100.0068599266616467506548495648474753475402131,280,000$
2Connor Kurth (R)X100.0076778382793531505055426042474752465402231,287,000$
3Aidan Thompson (R)X100.0076669980664749445538446042444452205202400$
4Tag BertuzziXXX100.0076718980713533445538446042444451205102512,999,999$
5Eamon Powell (R)X100.0073649982663631612550576355474758215702431,366,000$
TEAM AVERAGE100.00746986717052535247465159474746544456
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
1Jacob Fowler (R)100.004851648047954555938145474759826402131,715,000$
2Ryan Fanti (R)100.004440508045894650908145444460776102631,076,000$
Scratches
TEAM AVERAGE100.0046465780469246539281454646608063
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alex Burrows40404040404040TUR8111,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team 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
1Jagger FirkusPenguins (PIT)RW86283664-3628101131561775511815.82%35196622.87111324451340003435149.51%5154334000.65313101523
2Oscar Fisker MolgaardPenguins (PIT)C80271845-7423091129129388520.93%26152719.10101121271121012322254.02%6464133100.5918123545
3Matt StienburgPenguins (PIT)C85192342-26752598116126517615.08%26152817.9881422291070001362053.96%2023813010.5503212334
4Jackson CatesPenguins (PIT)C/LW/RW86162440-33644099155102387515.69%35188821.967512131150003805052.40%6243525000.4216503315
5Joel TeasdalePenguins (PIT)LW81141933-23523012412375175118.67%20169920.986612141070113772044.01%4092226000.3928204233
6Akil ThomasPenguins (PIT)C/RW75151732-3155838885316517.65%25135618.08461011621016404242.43%3702916000.4700010413
7Matvey PetrovPenguins (PIT)LW86122032-1271359113767235617.91%26160918.712798780004674046.35%1921622000.4048403344
8Luke KrysPenguins (PIT)D8632427-2255151001586137224.92%67212824.75191071470223111010%02035000.2500012033
9Eamon PowellPenguins (PIT)D731212262030876227151.61%29116215.9301101600003000%01930000.3800000010
10Noah WarrenPenguins (PIT)D8612021-2399451271726030171.67%83218725.441101161480110118000%02339000.1900504101
11Akito HirosePenguins (PIT)D8621214-235620851275419243.70%47182021.1701121000000910140.00%51247000.1500301010
12Viktor NeuchevPenguins (PIT)LW845510-120556629111817.24%590110.731013111013172051.85%27139010.2200000311
13Roman AhcanPenguins (PIT)LW816410-360344434101217.65%35977.381014161013230027.59%2977000.3300000110
14Gavin BrindleyPenguins (PIT)C78516-2405765203825.00%886711.120001120000111148.81%168710000.1400000020
15Filip MesarPenguins (PIT)RW86325-12607664327159.38%8106112.34011310000000030.77%131213000.0900000011
16Alex Kannok LeipertPenguins (PIT)D73044-1336053695110%7104214.2801114000016000%0315000.0800000000
17Connor KurthPenguins (PIT)RW78134120321365416.67%03494.490000000000000%124000.2300000001
18Cooper WalkerPenguins (PIT)C131234002014102100.00%11279.7700002000000056.10%4104000.4700000011
19Griffin LucePenguins (PIT)D86022-1817561107148130%44155418.07000094000378000%01739000.0301001001
20Colin FelixPenguins (PIT)D26101-280162041325.00%136213.960000200009100%020000.0600000100
21Ben BerardPenguins (PIT)LW86000120521100%0780.910000000000000%10000001000000
22Trenton BlissPenguins (PIT)LW10000000000000%020.240000000000000%00000000000000
Team Total or Average1611160257417-24764226014501912114441368013.99%4962582016.03528513717412884483486128849.31%3243361421120.32114823524312936
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
1Jacob FowlerPenguins (PIT)863338150.8702.3149342141901466652330.73946860452
2Ryan FantiPenguins (PIT)100000.8862.373040012105520000086000
Team Total or Average963338150.8712.315238214202157170433468686452


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 Country 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 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
Aidan ThompsonPenguins (PIT)C242002-02-18USAYes180 Lbs5 ft11NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Link
Akil ThomasPenguins (PIT)C/RW262000-01-02CANYes195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,132,000$0$0$No1,132,000$--------1,132,000$--------No--------Link
Akito HirosePenguins (PIT)D271999-04-09CANNo170 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$0$0$No---------------------------Link
Alex Kannok LeipertPenguins (PIT)D252000-07-20THINo200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm984,000$0$0$No984,000$--------984,000$--------No--------Link
Ben BerardPenguins (PIT)LW271999-02-13BCNo192 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$0$0$No---------------------------Link
Colin FelixPenguins (PIT)D271999-01-07USAYes203 Lbs6 ft1NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$0$0$No---------------------------Link
Connor KurthPenguins (PIT)RW222003-07-30USAYes215 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,287,000$0$0$No1,287,000$1,287,000$-------1,287,000$1,287,000$-------NoNo-------Link
Cooper WalkerPenguins (PIT)C232002-07-11ONTNo185 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$0$0$No---------------------------Link
Eamon PowellPenguins (PIT)D242002-05-10USAYes175 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,366,000$0$0$No1,366,000$1,366,000$-------1,366,000$1,366,000$-------NoNo-------Link
Filip MesarPenguins (PIT)RW222004-01-03SVKYes184 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Link
Gavin BrindleyPenguins (PIT)C212004-10-05USAYes168 Lbs5 ft9NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,280,000$0$0$No1,280,000$1,280,000$-------1,280,000$1,280,000$-------NoNo-------Link
Griffin LucePenguins (PIT)D281998-03-10USAYes216 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,406,000$0$0$No1,406,000$1,406,000$-------1,406,000$1,406,000$-------NoNo-------Link
Jackson CatesPenguins (PIT)C/LW/RW281997-09-26USANo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,040,000$0$0$No---------------------------Link
Jacob FowlerPenguins (PIT)G212004-11-24USAYes211 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,715,000$0$0$No1,715,000$1,715,000$-------1,715,000$1,715,000$-------NoNo-------Link
Jagger FirkusPenguins (PIT)RW222004-04-29CANYes163 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Link
Joel TeasdalePenguins (PIT)LW271999-03-11CANNo210 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,078,000$0$0$No---------------------------Link
Luke KrysPenguins (PIT)D252000-09-27USAYes185 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$0$0$No---------------------------Link
Matt StienburgPenguins (PIT)C252000-10-07CANNo182 Lbs6 ft1NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$0$0$No---------------------------Link
Matvey PetrovPenguins (PIT)LW232003-03-12RUSYes200 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,285,000$0$0$No1,285,000$1,285,000$-------1,285,000$1,285,000$-------NoNo-------Link
Noah WarrenPenguins (PIT)D212004-07-15CANYes224 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,284,000$0$0$No1,284,000$1,284,000$-------1,284,000$1,284,000$-------NoNo-------Link
Oscar Fisker MolgaardPenguins (PIT)C212005-02-18DENYes163 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,304,000$0$0$No1,304,000$1,304,000$-------1,304,000$1,304,000$-------NoNo-------Link
Roman AhcanPenguins (PIT)LW271999-03-24USANo170 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm986,000$0$0$No986,000$--------986,000$--------No--------Link
Ryan FantiPenguins (PIT)G261999-10-03CANYes199 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,076,000$0$0$No1,076,000$1,076,000$-------1,076,000$1,076,000$-------NoNo-------Link
Tag BertuzziPenguins (PIT)C/LW/RW252001-02-18BCNo198 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,999$0$0$No---------------------------Link
Trenton BlissPenguins (PIT)LW281998-03-16USAYes194 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,420,000$0$0$No1,420,000$1,420,000$-------1,420,000$1,420,000$-------NoNo-------Link
Viktor NeuchevPenguins (PIT)LW222003-10-25RUSNo171 Lbs5 ft11NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,289,000$0$0$No1,289,000$1,289,000$-------1,289,000$1,289,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2624.50190 Lbs6 ft02.081,672,884$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matvey PetrovJoel TeasdaleJagger Firkus40122
2Oscar Fisker MolgaardJackson CatesMatt Stienburg30122
3Matt StienburgJagger FirkusJackson Cates20122
4Jagger FirkusMatvey PetrovOscar Fisker Molgaard10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah WarrenAkito Hirose40122
2Griffin LuceLuke Krys30122
3Luke KrysAkito Hirose20122
4Luke KrysNoah Warren10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joel TeasdaleOscar Fisker MolgaardJagger Firkus60122
2Jackson CatesMatvey PetrovMatt Stienburg40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah WarrenLuke Krys60122
2Griffin LuceAkito Hirose40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matvey PetrovMatt Stienburg60122
2Jagger FirkusJackson Cates40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah WarrenLuke Krys60122
2Akito HiroseGriffin Luce40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jagger Firkus60122Noah WarrenLuke Krys60122
2Jackson Cates40122Akito HiroseColin Felix40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Oscar Fisker MolgaardMatt Stienburg60122
2Jackson CatesJagger Firkus40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah WarrenGriffin Luce60122
2Luke KrysAkito Hirose40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jagger FirkusMatt StienburgOscar Fisker MolgaardNoah WarrenLuke Krys
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jagger FirkusMatt StienburgOscar Fisker MolgaardNoah WarrenLuke Krys
Extra Forwards
Normal PowerPlayPenalty Kill
Jagger Firkus, Matt Stienburg, Jackson CatesJackson Cates, Jagger FirkusJagger Firkus
Extra Defensemen
Normal PowerPlayPenalty Kill
Luke Krys, Noah Warren, Akito HiroseLuke KrysNoah Warren, Luke Krys
Penalty Shots
Jagger Firkus, Matvey Petrov, Oscar Fisker Molgaard, Jackson Cates, Matt Stienburg
Goalie
#1 : Jacob Fowler, #2 : Ryan Fanti


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
1Admirals52200100141313110010079-22110000074350.500142236012157732088225445431907327638117635.29%14564.29%0533104551.00%654133149.14%41280151.44%1398458160798922381104
2Americans50401000514-92010100025-33030000039-620.20058130121577320892254454319012529308515320.00%10460.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
3Barracuda2010000125-31000000123-11010000002-210.250246102157732026225445431903781147400.00%3166.67%0533104551.00%654133149.14%41280151.44%1398458160798922381104
4Bears30100011713-620100010510-51000000123-130.50078150021577320452254454319074292348200.00%9544.44%0533104551.00%654133149.14%41280151.44%1398458160798922381104
5Bruins2010000115-41000000112-11010000003-310.25012300215773201722544543190328431100.00%2150.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
6Canucks211000001091110000006421010000045-120.50010182800215773203422544543190441234357685.71%2150.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
7Checkers5210011015114311000109632100010065170.700152338002157732078225445431907734508411654.55%10370.00%1533104551.00%654133149.14%41280151.44%1398458160798922381104
8Comets21000010523110000003121000001021141.0005712002157732026225445431902565317228.57%000%0533104551.00%654133149.14%41280151.44%1398458160798922381104
9Condors20101000330100010002111010000012-120.500358002157732028225445431903515935500.00%20100.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
10Crunch21001000642110000002111000100043141.000610160021577320302254454319019413417228.57%4250.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
11Eagles52200001510-52110000015-43110000145-150.500581302215773205322544543190671728857114.29%9455.56%0533104551.00%654133149.14%41280151.44%1398458160798922381104
12Griffins2010010035-21000010034-11010000001-110.2503690021577320252254454319036112249111.11%10100.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
13Gulls21001000853110000006421000100021141.000813210021577320312254454319028415298450.00%5340.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
14Heat613011001113-23100110063330300000510-550.41711182901215773207322544543190123405310715213.33%9277.78%0533104551.00%654133149.14%41280151.44%1398458160798922381104
15IceHogs211000008801010000015-41100000073420.5008111900215773203622544543190481872337228.57%6350.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
16Islanders20100001510-51010000015-41000000145-110.2505101500215773203422544543190572017303133.33%6183.33%0533104551.00%654133149.14%41280151.44%1398458160798922381104
17Marlies2010100012-1100010001011010000002-220.500123012157732017225445431901711834200.00%4250.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
18Monsters20002000202100010001011000100010141.00023502215773201722544543190156236300.00%10100.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
19Moose51201100911-2210001004403020100057-250.5009142300215773207822544543190611561047342.86%3233.33%0533104551.00%654133149.14%41280151.44%1398458160798922381104
20Phantoms2010000124-21000000112-11010000012-110.250235002157732022225445431901042343133.33%10100.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
21Reign2010010046-21000010034-11010000012-110.250471100215773202522544543190792410275120.00%50100.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
22Roadrunners31100010990210000108531010000014-340.6679101910215773205622544543190802819708337.50%7271.43%1533104551.00%654133149.14%41280151.44%1398458160798922381104
23Rocket200001104401000010034-11000001010130.7504370121577320312254454319026103332100.00%40100.00%1533104551.00%654133149.14%41280151.44%1398458160798922381104
24Senators2020000017-61010000014-31010000003-300.0001120021577320112254454319056834283133.33%20100.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
25Silver Knights210000013211000000101-11100000031230.75035800215773202722544543190281113293133.33%4175.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
26Stars51400000712-530300000310-72110000042220.2007111811215773204222544543190762133736233.33%8362.50%0533104551.00%654133149.14%41280151.44%1398458160798922381104
27Thunderbirds20200000412-81010000036-31010000016-500.00046100021577320232254454319084318294125.00%5180.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
28Wild20100001510-51000000123-11010000037-410.25058130021577320322254454319081192331100.00%9277.78%1533104551.00%654133149.14%41280151.44%1398458160798922381104
29Wolf Pack321000004221010000012-12200000030340.6674812022157732034225445431902598525240.00%4250.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
30Wolves312000002201010000001-12110000021120.333235012157732016225445431903617164511100.00%30100.00%0533104551.00%654133149.14%41280151.44%1398458160798922381104
Total86193809758165213-484310140563588114-2643924041237799-22810.47116525742231321577320114422544543190157449664414501775229.38%1525067.11%4533104551.00%654133149.14%41280151.44%1398458160798922381104
_Since Last GM Reset86193809758165213-484310140563588114-2643924041237799-22810.47116525742231321577320114422544543190157449664414501775229.38%1525067.11%4533104551.00%654133149.14%41280151.44%1398458160798922381104
_Vs Conference54102704634101145-4428610035315778-2126417011034467-23440.40710115625727215773207482254454319010393413529151143127.19%1013466.34%2533104551.00%654133149.14%41280151.44%1398458160798922381104
_Vs Division17918034112733-6857023101221-994110110115123310.912274269052157732019422544543190242917327624729.17%24866.67%0533104551.00%654133149.14%41280151.44%1398458160798922381104

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8681L1165257422114415744966441450313
All Games
GPWLOTWOTL SOWSOLGFGA
8619389758165213
Home Games
GPWLOTWOTL SOWSOLGFGA
431014563588114
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4392441237799
Last 10 Games
WLOTWOTL SOWSOL
440200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1775229.38%1525067.11%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
2254454319021577320
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
533104551.00%654133149.14%41280151.44%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1398458160798922381104


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
14Penguins1Eagles3LBox score
219Penguins1Americans4LBox score
331Penguins4Heat5LBox score
435Checkers3Penguins4WXXBox score
661Admirals5Penguins3LBox score
882Stars2Penguins0LBox score
999Americans5Penguins1LBox score
10112Penguins1Moose3LBox score
12131Penguins3Checkers4LXBox score
13150Heat0Penguins3WBox score
15172Bears7Penguins1LBox score
16185Penguins2Eagles0WBox score
17196Checkers1Penguins5WBox score
18212Penguins3Stars0WBox score
19232Stars3Penguins1LBox score
20242Penguins5Admirals0WBox score
21255Penguins0Heat2LBox score
23269Americans0Penguins1WXBox score
24287Marlies0Penguins1WXBox score
26304Penguins1Stars2LBox score
27315Penguins1Phantoms2LBox score
28332Wild3Penguins2LXXBox score
29347Penguins1Reign2LBox score
30364Reign4Penguins3LXBox score
31379Comets1Penguins3WBox score
32394Penguins2Gulls1WXBox score
34407Penguins0Griffins1LBox score
35422Penguins2Comets1WXXBox score
36436Canucks4Penguins6WBox score
37452Griffins4Penguins3LXBox score
38469Penguins3Wild7LBox score
40484Penguins4Canucks5LBox score
41497Heat2Penguins1LXBox score
42517Silver Knights1Penguins0LXXBox score
43536Senators4Penguins1LBox score
44543Penguins3Silver Knights1WBox score
45563Penguins2Admirals4LBox score
46579Gulls4Penguins6WBox score
47597Bears3Penguins4WXXBox score
48611Penguins1Monsters0WXBox score
49619Penguins1Heat3LBox score
50638Heat1Penguins2WXBox score
51659Rocket4Penguins3LXBox score
52672Penguins2Bears3LXXBox score
53687Stars5Penguins2LBox score
54691Penguins1Eagles2LXXBox score
56721Penguins2Wolves0WBox score
57731Phantoms2Penguins1LXXBox score
58739Penguins0Barracuda2LBox score
59762Penguins1Roadrunners4LBox score
60769Monsters0Penguins1WXBox score
62791Wolf Pack2Penguins1LBox score
64808Penguins1Thunderbirds6LBox score
65819Penguins0Senators3LBox score
66835Crunch1Penguins2WBox score
68853Penguins7IceHogs3WBox score
69868Checkers2Penguins0LBox score
70886IceHogs5Penguins1LBox score
72901Penguins4Crunch3WXBox score
73912Penguins3Checkers1WBox score
74926Moose1Penguins2WBox score
76947Eagles0Penguins1WBox score
77959Penguins1Rocket0WXXBox score
79982Islanders5Penguins1LBox score
80990Penguins4Islanders5LXXBox score
811007Roadrunners3Penguins4WXXBox score
821022Penguins0Bruins3LBox score
841039Roadrunners2Penguins4WBox score
861066Condors1Penguins2WXBox score
881091Barracuda3Penguins2LXXBox score
901107Penguins1Americans3LBox score
911124Eagles5Penguins0LBox score
921135Penguins2Moose3LBox score
931149Penguins0Marlies2LBox score
941163Bruins2Penguins1LXXBox score
961182Thunderbirds6Penguins3LBox score
Trade Deadline --- Trades can’t be done after this day is simulated!
971189Penguins2Moose1WXBox score
981213Wolves1Penguins0LBox score
991214Penguins1Condors2LBox score
1021248Admirals2Penguins1LXBox score
1041267Penguins1Americans2LBox score
1051277Moose3Penguins2LXBox score
1061287Penguins2Wolf Pack0WBox score
1081306Admirals2Penguins3WBox score
1091316Penguins1Wolf Pack0WBox score
1101319Penguins0Wolves1LBox score



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance60,59631,777
Attendance PCT70.46%73.90%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2148 - 71.61% 90,007$3,870,298$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
5,349,456$ 4,349,500$ 4,349,500$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
38,835$ 4,349,520$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 47,763$ 0$




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