Penguins

GP: 19 | W: 13 | L: 5 | OTL: 1 | P: 27
GF: 53 | GA: 25 | PP%: 17.78% | PK%: 92.13%
GM : Maxyme Roy | Morale : 50 | Team Overall : 63
Next Games #347 vs Checkers

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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1William Eklund0XX100.006238827369908774647267667362658750680
2Curtis Lazar0XXX100.008350836575808263806459796173706750670
3Adam Ruzicka0X100.006238936789777666776961626265675850650
4Cole Guttman0X100.006238836863868267816566626865674850650
5Nic Petan0X100.006237796564868366706763626570716050640
6Vasily Ponomarev0X100.005737866766788065736664626762647150640
7Arshdeep Bains0X100.006537856371788562676457596164654650620
8Nick Abruzzese0X100.006036916569798763646657586365675650620
9Wilmer Skoog0X100.007138926380836859645662616567654250620
10Rhett Gardner0X100.007342676085818459725857635868704950620
11Noah Juulsen0X100.008361836581828163306458765067696850690
12Ronnie Attard0X100.007441796385868462306458685065676350670
13Connor Carrick0X100.008539736770878562306655585071724550660
14Calen Addison0X100.006333786967878568307755625364656850660
15Michael Kesselring0X100.007445726684858664306860615264654850660
16Spencer Stastney0X100.006036956471828463306560685264655650650
17Dmitri Samorukov0X100.006738875981828557305655604765676250630
18Yan Kuznetsov0X100.007240865988778458305756604862647250630
19Mac Hollowell0X100.006339746463807662306756574966685750620
20Philip Kemp0X100.006941765984658558305756604965674750620
Scratches
1Patrick Brown0XX100.008041866481838063826559736272742750660
2Danil Gushchin0X100.006137886762928465636664616763656650640
3John Leonard0X100.006237916372858764596062636567684750630
4Chaz Lucius0X100.006538876374766462716556586261638350610
5Emil Heineman0X100.006838846375867162585761596263657450610
6Martin Chromiak0X100.006338876172858358625960566163645850610
7Marco Kasper (R)0X100.007337875974857358605756635962648950610
8Samuel Helenius0X100.008443735793718456635554615662646950610
9Wyatt Bongiovanni0X100.006439826073807959565562576165674250600
10Max Sasson0X100.006539796074857158686157596064664350600
11Samu Tuomaala (R)0X100.005836956267817261656359566061637450600
12Andre Lee0X100.008242825691717757555358615964664850600
13Antonio Stranges0X100.005736956066817358615957566163655850590
14Chase Stillman (R)0X100.006543666274776958535660575961637950590
15Jagger Joshua0X100.007248625881757257595556595765674250590
16Parker Ford0X100.005839755766857458535961566064664350590
17Danila Klimovich0X100.007241745881797657555356545961637450590
18Nathan Legare0X100.006642695875808357535456595563656750590
19Carter Savoie0X100.005937885868758056535757545862646250580
20Riley Kidney (R)0X100.006039805869817157635654595661636850580
21Roman Ahcan0X100.006338795863738256555757535665674250580
22Egor Zamula0X100.007239886783828366307261635364664350670
23Zac Jones0X100.005937866567837964306660625264656750630
24Filip Johansson (R)0X100.006437955973716958305754534664667950590
25Nicolas Beaudin0X100.005738746366657057306451544665677750580
26Peter DiLiberatore0X100.005537845664727054305753554664664850570
TEAM AVERAGE100.00674082627480796153615861576566605062
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Devon Levi100.00828076738180828180828163705950760
2Spencer Knight100.00788379827776787776787763718450750
Scratches
1Dustin Wolf100.00799187707877797877797863705950750
TEAM AVERAGE100.0080858175797880797880796370675075
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Marco Sturm71726973696581DEU4561,000,000$


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
1Adam RuzickaPenguins (Pit)C19971692013334683819.57%642722.511239750111862062.50%34400000.7502000151
2Cole GuttmanPenguins (Pit)C195101578024365212349.62%135818.860223380001570259.85%26900000.8422000122
3Nic PetanPenguins (Pit)C19481216010243673411.11%342822.572686820002482053.45%5800000.5600000011
4Noah JuulsenPenguins (Pit)D1911112101753426336203.03%1344323.331232281000072000.00%000000.5400001101
5Curtis LazarPenguins (Pit)C/LW/RW19661234915655846194413.04%544123.2225716791013661061.16%50200100.5402012001
6Ronnie AttardPenguins (Pit)D1929119180259268247.69%1442622.430331981000072010.00%000000.5200000101
7Danil GushchinPenguins (Pit)LW164610-1807203684311.11%130819.30336867000071050.00%1800000.6500000000
8Connor CarrickPenguins (Pit)D190994240309151070.00%1640521.32033978011064000.00%000000.4400000001
9Nick AbruzzesePenguins (Pit)LW1953868017172793018.52%129115.32000110000010052.00%2500000.5500000112
10Spencer StastneyPenguins (Pit)D19448920511114436.36%31658.6931482200006200.00%000000.9700000110
11Vasily PonomarevPenguins (Pit)C1944884014203182612.90%031816.78213876000002050.00%2000000.5000000020
12Egor ZamulaPenguins (Pit)D14167-220717137137.69%1627919.99123853000045000.00%000000.5000000100
13John LeonardPenguins (Pit)LW100441001514159150.00%016916.91011234000000077.78%900000.4700000001
14Wilmer SkoogPenguins (Pit)C19134810027512488.33%126614.0100001000010064.29%1400000.3000000001
15Calen AddisonPenguins (Pit)D1912306051142025.00%1226013.7200000000028000.00%000000.2300000000
16Arshdeep BainsPenguins (Pit)LW191121202881212.50%4965.07000110002411051.11%4500000.4200000000
17William EklundPenguins (Pit)C/LW31121202377314.29%05518.501012160000000100.00%100000.7200000000
18Michael KesselringPenguins (Pit)D1902221002982230.00%1026313.8800003000024000.00%000000.1500000000
19Rhett GardnerPenguins (Pit)C11112620015542225.00%011310.2700000000000085.71%700000.3500000000
20Zac JonesPenguins (Pit)D81012205320050.00%1415.210000000000000.00%000000.4800000000
21Dmitri SamorukovPenguins (Pit)D11000000010000.00%170.710000000001000.00%000000.0000000000
Team Total or Average3395197148842002035133842613335011.97%108556816.43163147122806123962811360.37%131200100.532601371212
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
1Devon LeviPenguins (Pit)1913510.9271.34112467253440101.0006190310
2Spencer KnightPenguins (Pit)10001.0000.0027000140000.0000019000
Team Total or Average2013510.9301.30115267253580101.00061919310


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam RuzickaC251999-05-11No215 Lbs6 ft4NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Andre LeeLW242000-07-26No206 Lbs6 ft5NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Antonio StrangesLW222002-02-05No168 Lbs5 ft11NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Arshdeep BainsLW232001-01-09No184 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Calen AddisonD242000-04-11No173 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Carter SavoieLW222002-01-23No192 Lbs5 ft9NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Chase StillmanRW212003-03-19Yes185 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Chaz LuciusC212003-05-02No185 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Cole GuttmanC251999-04-06No167 Lbs5 ft9NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Connor CarrickD301994-04-13No198 Lbs5 ft10NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Curtis LazarC/LW/RW291995-02-02No203 Lbs6 ft0NoNoNo3UFAPro & Farm936,167$0$0$NoLink / NHL Link
Danil GushchinLW222002-02-06No165 Lbs5 ft8NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Danila KlimovichRW212003-01-09No202 Lbs6 ft2NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Devon LeviG222001-12-27No192 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Dmitri SamorukovD251999-06-16No188 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dustin WolfG232001-04-16No166 Lbs6 ft0NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Egor ZamulaD242000-03-30No200 Lbs6 ft3NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Emil HeinemanLW232001-11-16No202 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Filip JohanssonD242000-03-23Yes176 Lbs6 ft1NoNoNo4RFAPro & Farm500,000$0$0$NoNHL Link
Jagger JoshuaLW251999-03-29No201 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
John LeonardLW261998-08-07No196 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mac HollowellD261998-09-26No170 Lbs5 ft9NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Marco KasperC202004-04-08Yes183 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Martin ChromiakRW222002-08-20No187 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Max SassonC242000-09-05No181 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Michael KesselringD242000-01-13No190 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nathan LegareRW232001-01-11No205 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Nic PetanC291995-03-22No175 Lbs5 ft9NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Nick AbruzzeseLW251999-06-04No183 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Nicolas BeaudinD251999-10-07No168 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Noah JuulsenD271997-04-02No201 Lbs6 ft2NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Parker FordRW242000-07-20No181 Lbs5 ft9NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Patrick BrownC/RW321992-05-29No218 Lbs6 ft1NoNoNo2UFAPro & Farm801,000$0$0$NoLink / NHL Link
Peter DiLiberatoreD242000-03-31No160 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Philip KempD251999-02-12No202 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Rhett GardnerC281996-02-28No210 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Riley KidneyC212003-03-25Yes181 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Roman AhcanLW251999-03-24No170 Lbs5 ft9NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ronnie AttardD251999-03-20No208 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Samu TuomaalaRW212003-01-08Yes174 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Samuel HeleniusC222002-11-26No201 Lbs6 ft6NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Spencer KnightG232001-04-19No192 Lbs6 ft3NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Spencer StastneyD242000-01-04No184 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Vasily PonomarevC222002-03-13No180 Lbs5 ft10NoNoNo2ELCPro & Farm500,000$0$0$NoLink / NHL Link
William EklundC/LW222002-10-12No181 Lbs5 ft11NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Wilmer SkoogC251999-07-17No196 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Wyatt BongiovanniLW251999-07-24No194 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Yan KuznetsovD222002-03-09No209 Lbs6 ft4NoNoNo2ELCPro & Farm500,000$0$0$NoLink / NHL Link
Zac JonesD242000-10-18No176 Lbs5 ft10NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4924.08188 Lbs6 ft02.29461,983$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1William EklundCurtis LazarNic Petan40122
2Rhett GardnerAdam RuzickaVasily Ponomarev30122
3Nick AbruzzeseCole GuttmanWilmer Skoog20122
4Arshdeep BainsNic PetanCurtis Lazar10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah JuulsenRonnie Attard40122
2Spencer StastneyConnor Carrick30122
3Michael KesselringCalen Addison20122
4Spencer StastneyNoah Juulsen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1William EklundCurtis LazarNic Petan60122
2Cole GuttmanAdam RuzickaVasily Ponomarev40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah JuulsenRonnie Attard60122
2Spencer StastneyConnor Carrick40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Curtis LazarAdam Ruzicka60122
2Cole GuttmanNic Petan40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah JuulsenRonnie Attard60122
2Michael KesselringConnor Carrick40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Curtis Lazar60122Noah JuulsenRonnie Attard60122
2Adam Ruzicka40122Spencer StastneyConnor Carrick40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Curtis LazarWilliam Eklund60122
2Cole GuttmanNic Petan40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah JuulsenRonnie Attard60122
2Calen AddisonConnor Carrick40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
William EklundCurtis LazarNic PetanNoah JuulsenRonnie Attard
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
William EklundCurtis LazarNic PetanNoah JuulsenRonnie Attard
Extra Forwards
Normal PowerPlayPenalty Kill
Nick Abruzzese, Wilmer Skoog, Arshdeep BainsNick Abruzzese, Wilmer SkoogArshdeep Bains
Extra Defensemen
Normal PowerPlayPenalty Kill
Michael Kesselring, Calen Addison, Spencer StastneyMichael KesselringCalen Addison, Spencer Stastney
Penalty Shots
Curtis Lazar, Adam Ruzicka, Cole Guttman, Nic Petan, William Eklund
Goalie
#1 : Devon Levi, #2 : Spencer Knight


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1927OTL1539715042635810820635107
All Games
GPWLOTWOTL SOWSOLGFGA
1910511205325
Home Games
GPWLOTWOTL SOWSOLGFGA
10730000329
Visitor Games
GPWLOTWOTL SOWSOLGFGA
93211202116
Last 10 Games
WLOTWOTL SOWSOL
710110
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
901617.78%89792.13%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
12713815891221173
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33352962.95%30850261.35%15126257.63%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
537385381133234126


Last Played Games
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
9 - 2024-09-2410Checkers0Penguins1WBoxScore
10 - 2024-09-2525Penguins0Thunderbirds4LBoxScore
15 - 2024-09-3036Phantoms2Penguins1LBoxScore
16 - 2024-10-0151Penguins1Phantoms0WXXBoxScore
22 - 2024-10-0772Penguins4Crunch1WBoxScore
23 - 2024-10-0885Crunch2Penguins9WBoxScore
27 - 2024-10-12105Penguins4Islanders3WXBoxScore
30 - 2024-10-15122Wolfpack2Penguins0LBoxScore
34 - 2024-10-19144Phantoms2Penguins1LBoxScore
36 - 2024-10-21152Penguins0Phantoms1LBoxScore
37 - 2024-10-22157Americans1Penguins3WBoxScore
41 - 2024-10-26186Penguins3Phantoms2WBoxScore
44 - 2024-10-29204Islanders0Penguins4WBoxScore
50 - 2024-11-04233Islanders0Penguins2WBoxScore
57 - 2024-11-11272Rocket0Penguins5WBoxScore
58 - 2024-11-12284Penguins4Bears0WBoxScore
62 - 2024-11-16304Bears0Penguins6WBoxScore
65 - 2024-11-19319Penguins3Wolfpack2WXXBoxScore
66 - 2024-11-20333Penguins2Bruins3LXBoxScore
69 - 2024-11-23347Checkers-Penguins-
71 - 2024-11-25356Checkers-Penguins-
72 - 2024-11-26363Thunderbirds-Penguins-
76 - 2024-11-30390Marlies-Penguins-
79 - 2024-12-03413Phantoms-Penguins-
80 - 2024-12-04427Penguins-Bears-
85 - 2024-12-09431Phantoms-Penguins-
86 - 2024-12-10441Penguins-Bears-
92 - 2024-12-16474Checkers-Penguins-
93 - 2024-12-17483Wolfpack-Penguins-
97 - 2024-12-21502Penguins-Marlies-
99 - 2024-12-23512Penguins-Senators-
101 - 2024-12-25536Penguins-Senators-
104 - 2024-12-28550Penguins-Rocket-
107 - 2024-12-31566Senators-Penguins-
113 - 2025-01-06604Penguins-Comets-
114 - 2025-01-07615Comets-Penguins-
115 - 2025-01-08629Phantoms-Penguins-
118 - 2025-01-11638Bears-Penguins-
120 - 2025-01-13647Penguins-Checkers-
121 - 2025-01-14663Penguins-Checkers-
127 - 2025-01-20681Islanders-Penguins-
128 - 2025-01-21693Monsters-Penguins-
131 - 2025-01-24706Penguins-Bears-
134 - 2025-01-27724Phantoms-Penguins-
135 - 2025-01-28732Bears-Penguins-
136 - 2025-01-29745Penguins-Phantoms-
141 - 2025-02-03768Penguins-Wolfpack-
142 - 2025-02-04784Penguins-Thunderbirds-
143 - 2025-02-05795Penguins-Bruins-
146 - 2025-02-08808Penguins-Americans-
148 - 2025-02-10815Penguins-Crunch-
149 - 2025-02-11827Penguins-Bears-
155 - 2025-02-17859Penguins-Wolfpack-
156 - 2025-02-18874Senators-Penguins-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19886Crunch-Penguins-
160 - 2025-02-22896Bears-Penguins-
162 - 2025-02-24906Penguins-Phantoms-
164 - 2025-02-26925Penguins-Phantoms-
169 - 2025-03-03950Bruins-Penguins-
170 - 2025-03-04961Bears-Penguins-
171 - 2025-03-05972Penguins-Islanders-
174 - 2025-03-08986Wolfpack-Penguins-
177 - 2025-03-111002Penguins-Checkers-
178 - 2025-03-121017Penguins-Checkers-
183 - 2025-03-171040Penguins-Monsters-
184 - 2025-03-181054Penguins-Monsters-
190 - 2025-03-241082Bears-Penguins-
191 - 2025-03-251093Thunderbirds-Penguins-
192 - 2025-03-261107Penguins-Islanders-
195 - 2025-03-291116Bruins-Penguins-
197 - 2025-03-311125Penguins-Bears-
198 - 2025-04-011139Monsters-Penguins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance18,2389,205
Attendance PCT91.19%92.05%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
26 2744 - 91.48% 68,324$683,236$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
407,478$ 226,372$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 70,801$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,776,414$ 132 6,163$ 813,516$




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
Regular Season
1282501308362279141138412560414113772654125704221142697313327948276101001079167234607497358401674505131817205527814.13%5344990.82%71543267057.79%1357237057.26%665115657.53%228216351711583990528
1376521303143261141120382550203313173583827801110130686212226145471501101027973192306146626261419421117014414908717.76%4635388.55%111470244460.15%1147196858.28%634110057.64%219916031498518909490
147631270335718214240381611021359772253815160122285701588182323505050665652197306206756561717486105614753513911.11%4404889.09%31331240655.32%1225228253.68%550100554.73%202514431691536912475
1582521902441286147139412312012211427963412970122014468761212865198051701058986239008157378211722490108415654197116.95%4545787.44%51591269159.12%1364234358.22%737118262.35%228616581704556967515
1682541203166289141148412570214214875734129501024141667513328951780601401098982232107597707691705472993143043210825.00%4104589.02%21575259660.67%1252225855.45%723115662.54%229816691717545971521
1772431705124260131129362360301314565803620110211111566491052604787381120102846721810679723742144641191512863898221.08%3834687.99%41506235064.09%1177194560.51%666103064.66%211715631402461843461
187249160223028411417036259010101294683362470122015568871102845228060150111838523130769697835140942692213763848722.66%3734089.28%51457229663.46%1159188561.49%613103759.11%216116101342453835466
1919105011205325281073000003292393201120211652753971500712211734261271381589358108206351901617.78%89792.13%133352962.95%30850261.35%15126257.63%537385381133234126
Total Regular Season5613411220271632231894982912281169590155181596149147028017263012111489334914428391894339252862811272358851515873127514351575298114503319766410644310756818.28%314634589.03%38108061798260.09%89891555357.80%4739792859.78%159101157011449378766653586
Playoff
11624000001012-23120000067-13120000045-1410182802044214405342441222713016948510.42%54787.04%010020249.50%8417946.93%377946.84%151101143477639
12945000001617-15320000011834130000059-4816314703028523306888751695410116069811.59%41587.80%013129843.96%11925746.30%5311645.69%2401711926810957
13158700000383718530000023167734000001521-61638681060201210153850109120116320110233343991616.16%1051882.86%228355451.08%25145455.29%13622660.18%418290373121200102
1514104000003825137520000017134752000002112920386910702014913342010011210730693226247991010.10%1001189.00%021845348.12%22445349.45%9920648.06%36224535911818691
161798000003634210640000021183734000001516-11836671032201212103780121121131417113185281861719.77%76889.47%027052451.53%27553951.02%11522451.34%418289408125210106
1721156000005539161082000002618811740000029218305510315804023161251401641611554991662753591392417.27%1161587.07%038565758.60%36566454.97%16229554.92%554383501161270140
181156000002518762400000141135320000011741025436802010762570809279233651461847967.59%61788.52%016933650.30%16731852.52%7814653.42%2891992508514374
Total Playoff9353400000021818236493019000001189127442321000001009191062183996172170776663225306957367072066628129617436198613.89%5537187.16%21556302451.46%1485286451.85%680129252.63%2435168222287281197611