´╗┐

Wilkes-Barre/Scranton Penguins

GP: 7 | W: 3 | L: 3 | OTL: 1 | P: 7
GF: 12 | GA: 11 | PP%: 8.70% | PK%: 89.47%
GM : | Morale : 40 | Team Overall : 55
Next Games #110 vs Binghamton Senators
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 SP
1Dwight KingX100.006047806586545964325561685966584740600
2Iiro PakarinenX100.007946856876465859345655685562526340590
3Ryan CarpenterX100.005035757868484563426055605862586340580
4Ryan DzingelX100.005436777268485562325956645660517140580
5Scott WilsonX100.005235797364464365315162605960487140570
6Ty RattieX100.004835777466485262305759595858477940570
7Antoine LaganiereXXX100.005135747479474558425155515564595540560
8Jeremy WelshX100.005135736780475258485155555368633940560
9Justin ShuggX100.004835757464474359305555535662616340560
10James WrightX100.005235736882495058455553505464545540550
11Jeff HogganX100.00483578697047505430485151528873540550
12Ryan RupertX100.004935717461474157425054515556538740540
13Nate ProsserX100.005952696275455546304544724872622340580
14Rinat ValievX100.005035786778514550304645724954529540580
15Cody GoloubefX100.005637706673454050305144674966534740560
16Bobby SanguinettiX100.004835796576484153304652575368573940550
17Robbie Russo (R)X100.005035756969544851305145565058507940550
Scratches
1Adam PayerlX100.005950566880525055325151515262476340540
2Ben ThomsonX100.005852586780535254305049505158507940530
3Brian FerlinX100.005335736877454054304851555260487140530
4Mitch MorozX100.006669507178574251304748515156538740530
5Yannick VeilleuxX100.005543646877515154305150505258497940530
6Joe PendenzaX100.004635807566454051394748505264595540520
7Andrew Poturalski (R)X100.004335847563454048334545505156538740510
8Emerson Clark (R)X100.005743557661454050304745505160567140510
9Jiri Fronk (R)X100.004735807273454051304448505156538740510
10Matt LeitnerX100.004235837758454050334742505164605540510
11Kevin LynchX100.004835786574454049404446505062456340500
12Matt ClarkX100.005437726182474445304242604764575540540
13Julius Bergman (R)X100.005135746974464146304244554954519540530
14Benjamin Dieude-FauvelX100.004835726479474044303740514072642340520
15C.J. LudwigX100.005840546969474044303941514164585540520
16James MelindyX100.005135826076474044303841524058507940510
17Mason Geertsen (R)X100.005840636082464045304340534654399540510
TEAM AVERAGE100.00533973697348455333494956516254644054
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
1Michael Leighton100.0057536577696564656463558278540650
2Scott Greenham100.00485067736152535858535570633140580
Scratches
1Ken Appleby (R)100.00455056856051454545505554519540530
2Clay Witt (R)100.00455055696051464545515562576340520
TEAM AVERAGE100.0049516176635552535354556762494057
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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 GP 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 DzingelWilkes-Barre/Scranton Penguins (PIT)LW7426440612141028.57%012718.20011418000291050.00%200000.9400000111
2Antoine LaganiereWilkes-Barre/Scranton Penguins (PIT)C/LW/RW723556056110118.18%011917.03101218000020057.52%11300000.8400000001
3Ty RattieWilkes-Barre/Scranton Penguins (PIT)RW71456005916016.25%212017.15112416000011020.00%500000.8300000100
4Rinat ValievWilkes-Barre/Scranton Penguins (PIT)D7033240933000.00%615121.64011216000012000.00%000000.4000000001
5Jeremy WelshWilkes-Barre/Scranton Penguins (PIT)C70221120689110.00%011917.0600015000070059.76%8200000.3400000000
6Justin ShuggWilkes-Barre/Scranton Penguins (PIT)RW7112-1203951120.00%310114.4800002000001066.67%300000.3900000001
7Scott WilsonWilkes-Barre/Scranton Penguins (PIT)LW7202-120111120116.67%211416.4100004000060030.00%1000100.3500000010
8Bobby SanguinettiWilkes-Barre/Scranton Penguins (PIT)D7011220622000.00%612317.580001900009000.00%000000.1600000000
9Cody GoloubefWilkes-Barre/Scranton Penguins (PIT)D7011075927040.00%614020.06011414000010000.00%000000.1400010000
10Dwight KingWilkes-Barre/Scranton Penguins (PIT)LW7101-20041013027.69%115221.830002160000170044.12%3400000.1300000100
11James WrightWilkes-Barre/Scranton Penguins (PIT)C7011-100155020.00%17010.0000011000010061.11%5400000.2900000000
12Jeff HogganWilkes-Barre/Scranton Penguins (PIT)LW71010201490111.11%07010.1000001000010050.00%600000.2800000000
13Iiro PakarinenWilkes-Barre/Scranton Penguins (PIT)RW7000-2407129010.00%012818.420003180000140054.55%1100000.0000000000
14Nate ProsserWilkes-Barre/Scranton Penguins (PIT)D7000200925000.00%314420.58000116000012000.00%000000.0000000000
15Robbie RussoWilkes-Barre/Scranton Penguins (PIT)D7000-140511000.00%514821.15000117000011000.00%000000.0000000000
16Ryan CarpenterWilkes-Barre/Scranton Penguins (PIT)C7000-500298020.00%011816.910002190000100047.83%11500000.0000000000
17Ryan RupertWilkes-Barre/Scranton Penguins (PIT)C7000000233000.00%08111.5800003000080028.57%1400000.0000000000
Team Total or Average1191218309495811081323179.09%35203117.072462820200021363052.78%44900100.3000010324
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
1Michael LeightonWilkes-Barre/Scranton Penguins (PIT)73310.9051.5742002111160000.000070010
Team Total or Average73310.9051.5742002111160000.000070010


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 PayerlWilkes-Barre/Scranton Penguins (PIT)RW273/4/1991No215 Lbs6 ft3NoNoNo3RFAPro & Farm0$0$No
Andrew PoturalskiWilkes-Barre/Scranton Penguins (PIT)C241/14/1994Yes190 Lbs5 ft10NoNoNo3RFAPro & Farm0$0$No
Antoine LaganiereWilkes-Barre/Scranton Penguins (PIT)C/LW/RW287/5/1990No196 Lbs6 ft4NoNoNo5UFAPro & Farm0$0$No
Ben ThomsonWilkes-Barre/Scranton Penguins (PIT)LW251/16/1993No215 Lbs6 ft3NoNoNo4RFAPro & Farm0$0$No
Benjamin Dieude-FauvelWilkes-Barre/Scranton Penguins (PIT)D328/26/1986No220 Lbs6 ft2NoNoNo3UFAPro & Farm0$0$No
Bobby SanguinettiWilkes-Barre/Scranton Penguins (PIT)D302/29/1988No190 Lbs6 ft3NoNoNo2UFAPro & Farm0$0$No
Brian FerlinWilkes-Barre/Scranton Penguins (PIT)RW266/3/1992No209 Lbs6 ft2NoNoNo5RFAPro & Farm0$0$No
C.J. LudwigWilkes-Barre/Scranton Penguins (PIT)D286/8/1990No195 Lbs6 ft0NoNoNo4UFAPro & Farm0$0$No
Clay WittWilkes-Barre/Scranton Penguins (PIT)G278/24/1991Yes195 Lbs6 ft1NoNoNo1RFAPro & Farm0$0$No
Cody GoloubefWilkes-Barre/Scranton Penguins (PIT)D2811/30/1989No201 Lbs6 ft1NoNoNo2UFAPro & Farm0$0$No
Dwight KingWilkes-Barre/Scranton Penguins (PIT)LW297/5/1989No232 Lbs6 ft4NoNoNo2UFAPro & Farm0$0$No
Emerson ClarkWilkes-Barre/Scranton Penguins (PIT)LW2512/17/1992Yes180 Lbs5 ft10NoNoNo4RFAPro & Farm0$0$No
Iiro PakarinenWilkes-Barre/Scranton Penguins (PIT)RW278/25/1991No215 Lbs6 ft1NoNoNo3RFAPro & Farm0$0$NoNHL Link
James MelindyWilkes-Barre/Scranton Penguins (PIT)D2412/11/1993No195 Lbs6 ft3NoNoNo4RFAPro & Farm0$0$No
James WrightWilkes-Barre/Scranton Penguins (PIT)C283/24/1990No210 Lbs6 ft4NoNoNo3UFAPro & Farm0$0$No
Jeff HogganWilkes-Barre/Scranton Penguins (PIT)LW402/1/1978No190 Lbs6 ft1NoNoNo2UFAPro & Farm0$0$No
Jeremy WelshWilkes-Barre/Scranton Penguins (PIT)C304/30/1988No210 Lbs6 ft3NoNoNo4UFAPro & Farm0$0$No
Jiri FronkWilkes-Barre/Scranton Penguins (PIT)RW242/7/1994Yes191 Lbs6 ft2NoNoNo1RFAPro & Farm0$0$No
Joe PendenzaWilkes-Barre/Scranton Penguins (PIT)C2711/22/1990No194 Lbs5 ft11NoNoNo2RFAPro & Farm0$0$No
Julius BergmanWilkes-Barre/Scranton Penguins (PIT)D2211/2/1995Yes205 Lbs6 ft1NoNoNo3ELCPro & Farm0$0$No
Justin ShuggWilkes-Barre/Scranton Penguins (PIT)RW2612/24/1991No185 Lbs5 ft11NoNoNo1RFAPro & Farm0$0$No
Ken ApplebyWilkes-Barre/Scranton Penguins (PIT)G234/10/1995Yes215 Lbs6 ft5NoNoNo4RFAPro & Farm0$0$No
Kevin LynchWilkes-Barre/Scranton Penguins (PIT)C274/23/1991No205 Lbs6 ft1NoNoNo4RFAPro & Farm0$0$No
Mason GeertsenWilkes-Barre/Scranton Penguins (PIT)D234/19/1995Yes212 Lbs6 ft4NoNoNo2RFAPro & Farm0$0$No
Matt ClarkWilkes-Barre/Scranton Penguins (PIT)D2710/17/1990No225 Lbs6 ft3NoNoNo2RFAPro & Farm0$0$No
Matt LeitnerWilkes-Barre/Scranton Penguins (PIT)C2711/27/1990No175 Lbs5 ft9NoNoNo4RFAPro & Farm0$0$No
Michael LeightonWilkes-Barre/Scranton Penguins (PIT)G375/19/1981No186 Lbs6 ft3NoNoNo2UFAPro & Farm0$0$No
Mitch MorozWilkes-Barre/Scranton Penguins (PIT)LW245/3/1994No214 Lbs6 ft2NoNoNo3RFAPro & Farm0$0$No
Nate ProsserWilkes-Barre/Scranton Penguins (PIT)D325/7/1986No202 Lbs6 ft2NoNoNo3UFAPro & Farm0$0$No
Rinat ValievWilkes-Barre/Scranton Penguins (PIT)D235/11/1995No214 Lbs6 ft2NoNoNo5RFAPro & Farm0$0$No
Robbie RussoWilkes-Barre/Scranton Penguins (PIT)D252/15/1993Yes195 Lbs6 ft0NoNoNo2RFAPro & Farm0$0$NoNHL Link
Ryan CarpenterWilkes-Barre/Scranton Penguins (PIT)C271/18/1991No180 Lbs6 ft1NoNoNo4RFAPro & Farm0$0$No
Ryan DzingelWilkes-Barre/Scranton Penguins (PIT)LW263/9/1992No190 Lbs6 ft0NoNoNo4RFAPro & Farm0$0$NoNHL Link
Ryan RupertWilkes-Barre/Scranton Penguins (PIT)C246/2/1994No180 Lbs5 ft10NoNoNo3RFAPro & Farm0$0$No
Scott GreenhamWilkes-Barre/Scranton Penguins (PIT)G314/24/1987No182 Lbs6 ft2NoNoNo3UFAPro & Farm0$0$No
Scott WilsonWilkes-Barre/Scranton Penguins (PIT)LW264/24/1992No183 Lbs5 ft11NoNoNo1RFAPro & Farm0$0$NoNHL Link
Ty RattieWilkes-Barre/Scranton Penguins (PIT)RW252/5/1993No178 Lbs6 ft0NoNoNo2RFAPro & Farm0$0$No
Yannick VeilleuxWilkes-Barre/Scranton Penguins (PIT)LW252/22/1993No210 Lbs6 ft2NoNoNo5RFAPro & Farm0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3827.08199 Lbs6 ft13.000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dwight KingRyan CarpenterIiro Pakarinen40122
2Ryan DzingelAntoine LaganiereTy Rattie30122
3Scott WilsonJeremy WelshJustin Shugg20122
4Jeff HogganJames WrightDwight King10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Rinat ValievNate Prosser40122
2Cody GoloubefRobbie Russo30122
3Bobby SanguinettiRinat Valiev20122
4Nate ProsserCody Goloubef10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dwight KingRyan CarpenterIiro Pakarinen60122
2Ryan DzingelAntoine LaganiereTy Rattie40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Rinat ValievNate Prosser60122
2Cody GoloubefRobbie Russo40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dwight KingIiro Pakarinen60122
2Ryan CarpenterRyan Dzingel40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Rinat ValievNate Prosser60122
2Cody GoloubefRobbie Russo40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dwight King60122Rinat ValievNate Prosser60122
2Iiro Pakarinen40122Cody GoloubefRobbie Russo40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dwight KingIiro Pakarinen60122
2Ryan CarpenterRyan Dzingel40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Rinat ValievNate Prosser60122
2Cody GoloubefRobbie Russo40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dwight KingRyan CarpenterIiro PakarinenRinat ValievNate Prosser
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dwight KingRyan CarpenterIiro PakarinenRinat ValievNate Prosser
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Rupert, Scott Wilson, Jeremy WelshRyan Rupert, Scott WilsonJeremy Welsh
Extra Defensemen
Normal PowerPlayPenalty Kill
Bobby Sanguinetti, Robbie Russo, Rinat ValievBobby SanguinettiRobbie Russo, Rinat Valiev
Penalty Shots
Dwight King, Iiro Pakarinen, Ryan Carpenter, Ryan Dzingel, Scott Wilson
Goalie
#1 : Michael Leighton, #2 : Scott Greenham
Custom OT Lines Forwards
Dwight King, Iiro Pakarinen, Ryan Carpenter, Ryan Dzingel, Scott Wilson, Ty Rattie, Ty Rattie, Antoine Laganiere, Jeremy Welsh, Justin Shugg, James Wright
Custom OT Lines Defensemen
Rinat Valiev, Nate Prosser, Cody Goloubef, Robbie Russo, Bobby Sanguinetti


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
1Binghamton Senators1000010023-1000000000001000010023-110.50023500426025435237016344600.00%20100.00%09818852.13%9217153.80%488755.17%167117165498844
2Hershey Bears21100000330110000002021010000013-220.500358014260484352370341315135120.00%50100.00%09818852.13%9217153.80%488755.17%167117165498844
3Norfolk Admirals21100000440110000003121010000013-220.50045900426029435237041142039500.00%8275.00%09818852.13%9217153.80%488755.17%167117165498844
4Syracuse Crunch21100000312110000003031010000001-120.50035801426030435237025510267114.29%40100.00%09818852.13%9217153.80%488755.17%167117165498844
Total73300100121113300000081740300100410-670.50012183002426013243523701163549822328.70%19289.47%09818852.13%9217153.80%488755.17%167117165498844
_Since Last GM Reset73300100121113300000081740300100410-670.50012183002426013243523701163549822328.70%19289.47%09818852.13%9217153.80%488755.17%167117165498844
_Vs Conference73300100121113300000081740300100410-670.50012183002426013243523701163549822328.70%19289.47%09818852.13%9217153.80%488755.17%167117165498844

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
77OTL112183013211635498202
All Games
GPWLOTWOTL SOWSOLGFGA
73301001211
Home Games
GPWLOTWOTL SOWSOLGFGA
330000081
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4030100410
Last 10 Games
WLOTWOTL SOWSOL
330100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2328.70%19289.47%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
43523704260
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
9818852.13%9217153.80%488755.17%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
167117165498844


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
4 - 2017-05-1618Syracuse Crunch0Wilkes-Barre/Scranton Penguins3WBoxScore
8 - 2017-05-2034Norfolk Admirals1Wilkes-Barre/Scranton Penguins3WBoxScore
11 - 2017-05-2346Wilkes-Barre/Scranton Penguins1Hershey Bears3LBoxScore
14 - 2017-05-2657Wilkes-Barre/Scranton Penguins1Norfolk Admirals3LBoxScore
16 - 2017-05-2867Hershey Bears0Wilkes-Barre/Scranton Penguins2WBoxScore
18 - 2017-05-3074Wilkes-Barre/Scranton Penguins0Syracuse Crunch1LBoxScore
22 - 2017-06-0393Wilkes-Barre/Scranton Penguins2Binghamton Senators3LXBoxScore
25 - 2017-06-06110Binghamton Senators-Wilkes-Barre/Scranton Penguins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
1 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 0$ 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$ 5 0$ 0$




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
14424110122410377262211700022483513221340120255421348103178281083238305876293298273317802342615861661911.45%115793.91%0597115051.91%545111249.01%30159350.76%10547301053334566282
258281504425143104392915701204755223291380322168521656143239382084735551110813523403685610453343488022232310.31%1471192.52%1711142649.86%695148346.86%37778747.90%13969721387439748371
378283402257150163-13391617012126972-3391217010458191-10561502604100552553610142246049745061139837251610313314112.39%2041592.65%1966200948.08%964197648.79%487107945.13%1884129918555871008501
4853000001711644000000122104130000059-4101728450253901534656510141395310325312.00%21290.48%011022748.46%10120050.50%5410850.00%1911321865610151
473300100121113300000081740300100410-6712183002426013243523701163549822328.70%19289.47%09818852.13%9217153.80%488755.17%167117165498844
Total Regular Season1958866079916425366599749310243821216250983935055682132049177425723114802514013313626366411941243117914834801014122726047688811.46%5063792.69%22482500049.64%2397494248.50%1267265447.74%469532504648146725131251
Playoff
1201010000004142-111560000023230954000001819-12041681091215121133911271201251937812315327375810.67%56885.71%021953341.09%24554644.87%12327744.40%489335507157265131
22116500000463412121020000025187963000002116532467912516111911541412714610932340111139294931415.05%62591.94%026959045.59%23251744.87%14231445.22%514348528169288142
3624000001315-23120000047-3312000009814132033004450114264543010729607223417.39%23482.61%07115944.65%6415441.56%459149.45%14197141467638
Total Playoff47281900000100919261610000005248421129000004843556100167267283035278919280311277518252633526391912613.61%1411787.94%0559128243.60%541121744.45%31068245.45%11457811176373631313