Login

Penguins
GP: 8 | W: 7 | L: 1
GF: 23 | GA: 14 | PP%: 15.63% | PK%: 90.00%
GM : Casey Spence | Morale : 50 | Team Overall : 61
Next Games #73 vs Falcons
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Falcons
5-5-0, 10pts
2
FINAL
4 Penguins
7-1-0, 14pts
Team Stats
L3StreakW3
4-1-0Home Record4-0-0
1-4-0Home Record3-1-0
5-5-0Last 10 Games7-1-0
2.60Goals Per Game2.88
2.40Goals Against Per Game1.75
16.22%Power Play Percentage15.63%
81.82%Penalty Kill Percentage90.00%
Falcons
5-5-0, 10pts
1
FINAL
3 Penguins
7-1-0, 14pts
Team Stats
L3StreakW3
4-1-0Home Record4-0-0
1-4-0Home Record3-1-0
5-5-0Last 10 Games7-1-0
2.60Goals Per Game2.88
2.40Goals Against Per Game1.75
16.22%Power Play Percentage15.63%
81.82%Penalty Kill Percentage90.00%
Penguins
7-1-0, 14pts
Day 23
Falcons
5-5-0, 10pts
Team Stats
W3StreakL3
4-0-0Home Record4-1-0
3-1-0Away Record1-4-0
7-1-0Last 10 Games5-5-0
2.88Goals Per Game2.60
1.75Goals Against Per Game2.60
15.63%Power Play Percentage16.22%
90.00%Penalty Kill Percentage81.82%
Falcons
5-5-0, 10pts
Day 25
Penguins
7-1-0, 14pts
Team Stats
L3StreakW3
4-1-0Home Record4-0-0
1-4-0Away Record3-1-0
5-5-0Last 10 Games7-1-0
2.60Goals Per Game2.88
2.40Goals Against Per Game2.88
16.22%Power Play Percentage15.63%
81.82%Penalty Kill Percentage90.00%
Penguins
7-1-0, 14pts
Day 27
Falcons
5-5-0, 10pts
Team Stats
W3StreakL3
4-0-0Home Record4-1-0
3-1-0Away Record1-4-0
7-1-0Last 10 Games5-5-0
2.88Goals Per Game2.60
1.75Goals Against Per Game2.60
15.63%Power Play Percentage16.22%
90.00%Penalty Kill Percentage81.82%
Team Leaders
Mark KastelicGoals
Mark Kastelic
6
Mark KastelicAssists
Mark Kastelic
5
Mark KastelicPoints
Mark Kastelic
11
Mark KastelicPlus/Minus
Mark Kastelic
7
Daniil TarasovWins
Daniil Tarasov
7
Calvin PickardSave Percentage
Calvin Pickard
0.952

Team Stats
Goals For
23
2.88 GFG
Shots For
209
26.13 Avg
Power Play Percentage
15.6%
5 GF
Offensive Zone Start
40.5%
Goals Against
14
1.75 GAA
Shots Against
207
25.88 Avg
Penalty Kill Percentage
90.0%%
3 GA
Defensive Zone Start
39.5%
Team Info

General ManagerCasey Spence
CoachGlen Gulutzan
DivisionAtlantic
ConferenceCanadian
CaptainAlec Regula
Assistant #1Byron Froese
Assistant #2Alexei Toropchenko


Arena Info

Capacity3,000
Attendance2,687
Season Tickets0


Roster Info

Pro Team23
Farm Team20
Contract Limit43 / 250
Prospects69


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
1Rem PitlickX100.00654478667366706366716462695858050660271900,000$
2Mark Kastelic (R)X100.00737176638559705879646172545757050650251750,000$
3Alexei Toropchenko (A)X100.00743983607960695750676267515455051640241800,000$
4Jonah Gadjovich (R)X100.008298855981566857526960685456580506402511,000,000$
5Alexander Nylander (R)XX100.006246706772686057546761615558570506302611,250,000$
6Jacob Peterson (R)X100.00585176616366666170636161625757050620241800,000$
7Byron Froese (A)XX100.005657656167656359705959615471620506103311,100,000$
8Matthew PecaX100.00545668605963616170595861566961050600311750,000$
9Semyon Der-Arguchintsev (R)X100.00555667595764625970585860545654050590232900,000$
10Dominic FrancoX100.00565465567262615570555560546358050580281750,000$
11Tye Felhaber (R)X100.00545468566058575555555660546056050570251750,000$
12Max VeronneauX100.00515165536157565252535155546356050540281750,000$
13Dylan Coghlan (R)X100.00654285667965675740695675545858050650261750,000$
14Christian WolaninX100.00565370616565606040635564546459050610292750,000$
15Michael Kesselring (R)X100.00565565627066635740595864545654050610242750,000$
16Dylan McIlrathX100.00575661597667655640575462547062050600321850,000$
17Alec Regula (C)X100.00575464596964625740575662545654050590231900,000$
18Filip Kral (R)X100.00555367576661595640565561545855050580242750,000$
Scratches
1Cole Guttman (R)X100.00555068585561565768586059575553050580251750,000$
2Anton Levtchi (R)X100.00515265535958565352535455546256050550281750,000$
3Matthew Kessel (R)X100.00523878537668544838565057515155050560232750,000$
TEAM AVERAGE100.0059547159696362575560576255605705060
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
1Calvin Pickard100.00636566646861676659616373630506403211,000,000$
2Daniil Tarasov (R)100.0057606181686170616764725755050640251900,000$
Scratches
TEAM AVERAGE100.006063647368616964636368655905064
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan74768170615650CAN513250,000$


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
1Mark KastelicPenguins (Pit)C86511760144023152126.09%216420.610113250000261260.19%21100001.3300000301
2Byron FroesePenguins (Pit)C/RW8257600751541513.33%112615.780111500001411100.00%300001.1100000021
3Matthew PecaPenguins (Pit)LW85273206122022425.00%115619.523146250002282044.44%900000.9000000201
4Jonah GadjovichPenguins (Pit)LW815671001714166176.25%014718.410003250000150066.67%1800000.8100000000
5Alexander NylanderPenguins (Pit)LW/RW8145-12085741614.29%113917.4103302600005000%600000.7200000010
6Alec RegulaPenguins (Pit)D823554010771428.57%517021.35000324000024000%000000.5900000100
7Dylan CoghlanPenguins (Pit)D8044140131015590%318122.71011826000022000%000000.4400000000
8Jacob PetersonPenguins (Pit)C82243206181931010.53%312715.95101140001142048.84%12900000.6300000010
9Filip KralPenguins (Pit)D8044440851460%915319.15022122000024000%000000.5200000000
10Alexei ToropchenkoPenguins (Pit)RW8022-120116185100%113016.26000826000000028.57%700000.3100000000
11Christian WolaninPenguins (Pit)D8112-19517695711.11%518022.58112627000022100%000000.2200010000
12Dominic FrancoPenguins (Pit)RW811236014213227.69%010613.3000000000000025.00%800000.3800000010
13Michael KesselringPenguins (Pit)D802226017114030%1113516.980000200005000%000000.2900000010
14Dylan McIlrathPenguins (Pit)D80223401092040%713016.3400006000012000%000000.3100000000
15Rem PitlickPenguins (Pit)C8202-3601223278217.41%117321.69000524000060146.73%21400000.2300000010
16Tye FelhaberPenguins (Pit)LW8000-2002490100%1577.150000200002000%30000000000000
17Semyon Der-ArguchintsevPenguins (Pit)C8000000000000%020.320000000000000%00000000000000
18Max VeronneauPenguins (Pit)RW8000-100644030%0556.9500000000000050.00%40000000000000
Team Total or Average144234265356751781812096418211.00%51233916.25510154527600032277451.47%61200000.5600010673
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
1Daniil TarasovPenguins (Pit)87100.9301.7444800131860100080102
2Calvin PickardPenguins (Pit)10000.9521.9431001210000008000
Team Total or Average97100.9321.754800014207010088102


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 Contrat Signature Date 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 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
Alec RegulaPenguins (Pit)D238/6/2000No208 Lbs6 ft4NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------NHL Link
Alexander NylanderPenguins (Pit)LW/RW263/2/1998Yes192 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------
Alexei ToropchenkoPenguins (Pit)RW246/25/1999No222 Lbs6 ft6NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------NHL Link
Anton LevtchiPenguins (Pit)LW2811/28/1995Yes185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Byron FroesePenguins (Pit)C/RW333/12/1991No202 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,100,000$0$0$No------------------NHL Link
Calvin PickardPenguins (Pit)G324/15/1992No200 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------NHL Link
Christian WolaninPenguins (Pit)D293/17/1995No185 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------NHL Link
Cole GuttmanPenguins (Pit)C254/6/1999Yes167 Lbs5 ft9NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Daniil TarasovPenguins (Pit)G253/27/1999Yes196 Lbs6 ft6NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------NHL Link
Dominic FrancoPenguins (Pit)RW281/7/1996No195 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------NHL Link
Dylan CoghlanPenguins (Pit)D262/19/1998Yes188 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------NHL Link
Dylan McIlrathPenguins (Pit)D324/20/1992No236 Lbs6 ft5NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------NHL Link
Filip KralPenguins (Pit)D2410/20/1999Yes198 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Jacob PetersonPenguins (Pit)C247/19/1999Yes180 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------NHL Link
Jonah GadjovichPenguins (Pit)LW2510/12/1998Yes209 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------NHL Link
Mark KastelicPenguins (Pit)C253/11/1999Yes210 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------NHL Link
Matthew KesselPenguins (Pit)D236/23/2000Yes205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Matthew PecaPenguins (Pit)LW314/27/1993No178 Lbs5 ft8NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------NHL Link
Max VeronneauPenguins (Pit)RW2812/12/1995No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Michael KesselringPenguins (Pit)D241/13/2000Yes190 Lbs6 ft4NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Rem PitlickPenguins (Pit)C274/2/1997No196 Lbs5 ft11NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------NHL Link
Semyon Der-ArguchintsevPenguins (Pit)C239/15/2000Yes173 Lbs5 ft10NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------
Tye FelhaberPenguins (Pit)LW258/5/1998Yes190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2326.52195 Lbs6 ft21.22843,478$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander NylanderRem PitlickAlexei Toropchenko41122
2Jonah GadjovichMark KastelicByron Froese31113
3Matthew PecaJacob PetersonDominic Franco20122
4Tye FelhaberRem PitlickMax Veronneau8122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninDylan Coghlan45122
2Michael KesselringAlec Regula33122
3Filip KralDylan McIlrath22122
4Christian WolaninDylan Coghlan0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonah GadjovichRem PitlickAlexei Toropchenko63005
2Matthew PecaMark KastelicAlexander Nylander37122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninDylan Coghlan65113
2Christian WolaninAlec Regula35113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mark KastelicMatthew Peca62131
2Jacob PetersonByron Froese38131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Filip KralDylan Coghlan60131
2Christian WolaninAlec Regula40131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Rem Pitlick60140Filip KralMichael Kesselring60140
2Byron Froese40140Christian WolaninAlec Regula40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Rem PitlickAlexei Toropchenko60122
2Mark KastelicAlexander Nylander40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninDylan Coghlan60122
2Michael KesselringAlec Regula40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jonah GadjovichRem PitlickAlexei ToropchenkoChristian WolaninDylan Coghlan
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matthew PecaMark KastelicMax VeronneauAlec RegulaDylan Coghlan
Extra Forwards
Normal PowerPlayPenalty Kill
Jonah Gadjovich, Mark Kastelic, Rem PitlickJonah Gadjovich, Mark KastelicJonah Gadjovich
Extra Defensemen
Normal PowerPlayPenalty Kill
Filip Kral, Dylan McIlrath, Christian WolaninChristian WolaninDylan McIlrath, Christian Wolanin
Penalty Shots
Alexander Nylander, Jonah Gadjovich, Rem Pitlick, Alexei Toropchenko, Byron Froese
Goalie
#1 : Daniil Tarasov, #2 : Calvin Pickard
Custom OT Lines Forwards
Rem Pitlick, Jacob Peterson, Matthew Peca, Byron Froese, Max Veronneau, Alexander Nylander, Alexander Nylander, Jonah Gadjovich, Mark Kastelic, Semyon Der-Arguchintsev, Tye Felhaber
Custom OT Lines Defensemen
Christian Wolanin, Dylan Coghlan, Filip Kral, Alec Regula, Dylan McIlrath


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
1Falcons431000001293220000007342110000056-160.750122234006116098737660011331399112325.00%16287.50%012924852.02%12124250.00%6512253.28%1871251846210753
2Wolfpack440000001156220000007342200000042281.000112031006116011173766009420288720210.00%14192.86%012924852.02%12124250.00%6512253.28%1871251846210753
Total871000002314944000000146843100000981140.87523426500611602097376600207516717832515.63%30390.00%012924852.02%12124250.00%6512253.28%1871251846210753
_Since Last GM Reset871000002314944000000146843100000981140.87523426500611602097376600207516717832515.63%30390.00%012924852.02%12124250.00%6512253.28%1871251846210753
_Vs Conference871000002314944000000146843100000981140.87523426500611602097376600207516717832515.63%30390.00%012924852.02%12124250.00%6512253.28%1871251846210753

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
814W3234265209207516717800
All Games
GPWLOTWOTL SOWSOLGFGA
87100002314
Home Games
GPWLOTWOTL SOWSOLGFGA
4400000146
Visitor Games
GPWLOTWOTL SOWSOLGFGA
431000098
Last 10 Games
WLOTWOTL SOWSOL
710000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
32515.63%30390.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
737660061160
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12924852.02%12124250.00%6512253.28%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1871251846210753


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
12Wolfpack2Penguins3BWBoxScore
310Wolfpack1Penguins4BWBoxScore
518Penguins2Wolfpack1AWBoxScore
726Penguins2Wolfpack1AWBoxScore
1557Penguins3Falcons5ALBoxScore
1761Penguins2Falcons1AWBoxScore
1965Falcons2Penguins4BWBoxScore
2169Falcons1Penguins3BWBoxScore
2373Penguins-Falcons-
2577Falcons-Penguins-
2781Penguins-Falcons-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price200100
Attendance7,3263,422
Attendance PCT91.58%85.55%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
38 2687 - 89.57% 632,590$2,530,360$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,940,000$ 1,940,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 7 0$ 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