´╗┐

Wilkes-Barre/Scranton Penguins

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 14 | GA: 21 | PP%: 27.78% | PK%: 80.77%
GM : Jerome Marceau | Morale : 53 | Team Overall : 65
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
1Josh ArchibaldX100.00866486757074746873667272827676078690
2Filip ChytilXX100.00636090738074746978697167817070081680
3Daniel SprongX100.00706095747366666775696867787272082670
4Oskar Sundqvist (A)XXX100.00746090688175756283656672767575082670
5Frederik Gauthier (C)X100.00766190668769696385656772777474082670
6Carl Grundstrom (A)X100.00886085747567676965647266826969081670
7Teddy BluegerXX100.00757271696763636473647070806262060650
8Samuel BlaisX100.00686072677063636465656766776161080630
9Mikhail VorobyovX100.00504550605050506050606060605050080550
10Julien GauthierX100.00504550605050506050606060605050068550
11Jakub JerabekX100.00736089737476766965716874788585081700
12Luke WitkowskiXX100.00849561688074746375656668767979084670
13Ashton SautnerX100.00716074736861617065736570757272081670
14Jonas SiegenthalerX100.00686075727063636865706573757171079660
15Egor YakovlevX100.00626074736763636965716769777474064660
16Keegan LoweX100.00626078706860606565656570757373082640
17Quinton Hughes (R)X100.00504550655050506050605560555050049550
18Oleg SosunovX100.00504550655050506050605560555050080550
Scratches
1Jan KovarXHO676070696979796678686866786464020660
2Mason JobstX100.00504550605050506050606060605050049550
3Timothy GettingerXX100.00504550605050506050606060605050081550
4Filip PyrochtaX100.00504550655050506050605560555050085550
TEAM AVERAGE100.0065587068666363646565656671656507363
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
1Charlie Lindgren100.0087848486898989898989827272081860
2Alex Lyon100.0084858586858686868686827373059840
Scratches
TEAM AVERAGE100.008685858687888888888882737307085
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Reirden70697368767170USA462750,000$


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 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
1Oskar SundqvistWilkes-Barre/Scranton Penguins (PIT)C/LW/RW5257-300751771011.76%29919.911344140001110056.25%1654001.4100000010
2Jakub JerabekWilkes-Barre/Scranton Penguins (PIT)D5325-80066224713.64%1313326.71202515000129010.00%049000.7500000001
3Samuel BlaisWilkes-Barre/Scranton Penguins (PIT)LW5314-32067144521.43%07915.8310120000080045.45%1171001.0100000100
4Teddy BluegerWilkes-Barre/Scranton Penguins (PIT)C/LW51340757612368.33%47715.5301115000020040.00%2061001.0300010000
5Daniel SprongWilkes-Barre/Scranton Penguins (PIT)RW5123-10063125128.33%29218.4301111300002000.00%2132000.6500000000
6Josh ArchibaldWilkes-Barre/Scranton Penguins (PIT)RW5123-30088133167.69%311322.691123130000240043.24%3755000.5300000000
7Carl GrundstromWilkes-Barre/Scranton Penguins (PIT)LW5033-10013412450.00%08116.2500028000180022.22%952000.7400000000
8Filip ChytilWilkes-Barre/Scranton Penguins (PIT)C/LW5022-240566220.00%111823.630222130000270051.04%9613000.3400000000
9Keegan LoweWilkes-Barre/Scranton Penguins (PIT)D51121800331033.33%26112.310000000006000.00%011000.6500000000
10Frederik GauthierWilkes-Barre/Scranton Penguins (PIT)C5112-1206711269.09%28517.19000213000000035.71%7021000.4700000000
11Ashton SautnerWilkes-Barre/Scranton Penguins (PIT)D5022-340763380.00%169519.01011112000116000.00%013000.4200000000
12Egor YakovlevWilkes-Barre/Scranton Penguins (PIT)D5112-3801614217.14%89418.80011612000115100.00%051000.4300000000
13Luke WitkowskiWilkes-Barre/Scranton Penguins (PIT)RW/D5011-635152065340.00%512024.0000021400002400100.00%225000.1700201000
14Mikhail VorobyovWilkes-Barre/Scranton Penguins (PIT)C4000-400130120.00%2399.7700000000050041.18%1701000.0000000000
15Quinton HughesWilkes-Barre/Scranton Penguins (PIT)D5000300020100.00%0285.770000000000000.00%001000.0000000000
16Oleg SosunovWilkes-Barre/Scranton Penguins (PIT)D4000320320000.00%1246.170000000000000.00%001000.0000000000
17Jonas SiegenthalerWilkes-Barre/Scranton Penguins (PIT)D5000075142140.00%25511.050000000000000.00%000000.0000010000
18Timothy GettingerWilkes-Barre/Scranton Penguins (PIT)LW/RW1000000000000.00%011.000000000000000.00%000000.0000000000
19Julien GauthierWilkes-Barre/Scranton Penguins (PIT)RW5000-4215121030.00%15911.940000000000000.00%401000.0000000000
Team Total or Average89142640-3510030988614746919.52%64146016.40510153113700051841143.31%2845742000.5500221111
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
1Charlie LindgrenWilkes-Barre/Scranton Penguins (PIT)41210.8963.75240001514474110.000041000
2Alex LyonWilkes-Barre/Scranton Penguins (PIT)10100.8335.00600053014000.000014000
Team Total or Average51310.8854.00300002017488110.000055000


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
Alex LyonWilkes-Barre/Scranton Penguins (PIT)G261992-12-09 7:42:18 AMNo201 Lbs6 ft1NoNoYes1RFAPro & Farm750,000$0$0$No
Ashton SautnerWilkes-Barre/Scranton Penguins (PIT)D241994-05-27 7:41:56 AMNo194 Lbs6 ft1NoNoYes2RFAPro & Farm675,000$0$0$No
Carl GrundstromWilkes-Barre/Scranton Penguins (PIT)LW211997-12-01 4:56:23 PMNo190 Lbs6 ft0NoNoNo2ELCPro & Farm925,000$0$0$No
Charlie LindgrenWilkes-Barre/Scranton Penguins (PIT)G251993-12-18 5:22:42 AMNo190 Lbs6 ft2NoNoNo2RFAPro & Farm750,000$0$0$No
Daniel SprongWilkes-Barre/Scranton Penguins (PIT)RW221997-03-17 4:23:51 AMNo181 Lbs6 ft0NoNoYes2ELCPro & Farm750,000$0$0$No
Egor YakovlevWilkes-Barre/Scranton Penguins (PIT)D271991-09-17 4:24:24 PMNo190 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$No
Filip ChytilWilkes-Barre/Scranton Penguins (PIT)C/LW191999-09-05 1:19:33 PMNo179 Lbs6 ft0NoNoNo2ELCPro & Farm925,000$0$0$No
Filip PyrochtaWilkes-Barre/Scranton Penguins (PIT)D221996-06-24 3:25:00 AMNo192 Lbs6 ft2NoNoNo1ELCPro & Farm767,500$0$0$No
Frederik GauthierWilkes-Barre/Scranton Penguins (PIT)C241995-04-26 2:10:38 PMNo214 Lbs6 ft5NoNoYes2RFAPro & Farm675,000$0$0$No
Jakub JerabekWilkes-Barre/Scranton Penguins (PIT)D281991-05-12 3:56:28 PMNo190 Lbs5 ft11NoNoYes3UFAPro & Farm1,000,000$0$0$No
Jan KovarWilkes-Barre/Scranton Penguins (PIT)C291990-03-20 4:09:56 AMNo216 Lbs5 ft11NoNoNo2UFAPro & Farm1$0$0$No
Jonas SiegenthalerWilkes-Barre/Scranton Penguins (PIT)D221997-05-06 3:55:13 PMNo220 Lbs6 ft3NoNoNo2ELCPro & Farm714,166$0$0$No
Josh ArchibaldWilkes-Barre/Scranton Penguins (PIT)RW261992-10-06 1:24:34 PMNo176 Lbs5 ft10NoNoYes1RFAPro & Farm675,000$0$0$No
Julien GauthierWilkes-Barre/Scranton Penguins (PIT)RW211997-10-15 4:02:09 AMNo212 Lbs6 ft4NoNoNo3ELCPro & Farm863,333$0$0$No
Keegan LoweWilkes-Barre/Scranton Penguins (PIT)D261993-03-29 11:51:45 AMNo194 Lbs6 ft2NoNoYes2RFAPro & Farm675,000$0$0$No
Luke WitkowskiWilkes-Barre/Scranton Penguins (PIT)RW/D291990-04-14 11:31:47 AMNo201 Lbs6 ft2NoNoYes1UFAPro & Farm750,000$0$0$No
Mason JobstWilkes-Barre/Scranton Penguins (PIT)C251994-02-17 12:20:55 PMNo185 Lbs5 ft8NoNoNo2RFAPro & Farm792,500$0$0$No
Mikhail VorobyovWilkes-Barre/Scranton Penguins (PIT)C221997-01-05 2:38:15 PMNo187 Lbs6 ft2NoNoNo2ELCPro & Farm784,167$0$0$No
Oleg SosunovWilkes-Barre/Scranton Penguins (PIT)D211998-04-13 3:54:05 PMNo243 Lbs6 ft8NoNoNo2ELCPro & Farm724,067$0$0$No
Oskar SundqvistWilkes-Barre/Scranton Penguins (PIT)C/LW/RW251994-03-23 12:43:21 PMNo209 Lbs6 ft3NoNoYes1RFAPro & Farm700,000$0$0$No
Quinton HughesWilkes-Barre/Scranton Penguins (PIT)D191999-10-14 2:20:18 PMYes170 Lbs5 ft10NoNoNo3ELCPro & Farm916,666$0$0$No
Samuel BlaisWilkes-Barre/Scranton Penguins (PIT)LW221996-06-17 3:49:45 AMNo164 Lbs5 ft10NoNoNo1ELCPro & Farm673,333$0$0$No
Teddy BluegerWilkes-Barre/Scranton Penguins (PIT)C/LW241994-08-15 11:58:32 AMNo185 Lbs6 ft0NoNoNo1RFAPro & Farm650,000$0$0$No
Timothy GettingerWilkes-Barre/Scranton Penguins (PIT)LW/RW211998-04-14 1:27:59 PMNo203 Lbs6 ft6NoNoNo2ELCPro & Farm736,667$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2423.75195 Lbs6 ft11.79741,558$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Oskar SundqvistFilip ChytilJosh Archibald40122
2Carl GrundstromFrederik GauthierDaniel Sprong30122
3Samuel BlaisTeddy BluegerJulien Gauthier20122
4Josh ArchibaldMikhail VorobyovFilip Chytil10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub JerabekLuke Witkowski40122
2Ashton SautnerEgor Yakovlev30122
3Jonas SiegenthalerKeegan Lowe20122
4Quinton HughesOleg Sosunov10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Oskar SundqvistFilip ChytilJosh Archibald60122
2Carl GrundstromFrederik GauthierDaniel Sprong40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub JerabekLuke Witkowski60122
2Ashton SautnerEgor Yakovlev40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Josh ArchibaldFilip Chytil60122
2Oskar SundqvistCarl Grundstrom40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub JerabekLuke Witkowski60122
2Ashton SautnerEgor Yakovlev40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Josh Archibald60122Jakub JerabekLuke Witkowski60122
2Filip Chytil40122Ashton SautnerEgor Yakovlev40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Josh ArchibaldFilip Chytil60122
2Oskar SundqvistCarl Grundstrom40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub JerabekLuke Witkowski60122
2Ashton SautnerEgor Yakovlev40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Oskar SundqvistFilip ChytilJosh ArchibaldJakub JerabekLuke Witkowski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Oskar SundqvistFilip ChytilJosh ArchibaldJakub JerabekLuke Witkowski
Extra Forwards
Normal PowerPlayPenalty Kill
Teddy Blueger, Samuel Blais, Mikhail VorobyovTeddy Blueger, Samuel BlaisMikhail Vorobyov
Extra Defensemen
Normal PowerPlayPenalty Kill
Jonas Siegenthaler, Keegan Lowe, Quinton HughesJonas SiegenthalerKeegan Lowe, Quinton Hughes
Penalty Shots
Josh Archibald, Filip Chytil, Luke Witkowski, Oskar Sundqvist, Carl Grundstrom
Goalie
#1 : Charlie Lindgren, #2 : Alex Lyon
Custom OT Lines Forwards
Josh Archibald, Filip Chytil, Luke Witkowski, Oskar Sundqvist, Carl Grundstrom, Frederik Gauthier, Frederik Gauthier, Daniel Sprong, Teddy Blueger, Samuel Blais, Mikhail Vorobyov
Custom OT Lines Defensemen
Jakub Jerabek, Luke Witkowski, Ashton Sautner, Egor Yakovlev, Jonas Siegenthaler


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
1Hartford Wolf Pack514000001421-7312000001012-22020000049-520.2001426401063501474943550175641009818527.78%26580.77%0489749.48%4511838.14%306943.48%10865116417637
Total514000001421-7312000001012-22020000049-520.2001426401063501474943550175641009818527.78%26580.77%0489749.48%4511838.14%306943.48%10865116417637
_Since Last GM Reset514000001421-7312000001012-22020000049-520.2001426401063501474943550175641009818527.78%26580.77%0489749.48%4511838.14%306943.48%10865116417637
_Vs Conference514000001421-7312000001012-22020000049-520.2001426401063501474943550175641009818527.78%26580.77%0489749.48%4511838.14%306943.48%10865116417637
_Vs Division514000001421-7312000001012-22020000049-520.2001426401063501474943550175641009818527.78%26580.77%0489749.48%4511838.14%306943.48%10865116417637

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52L2142640147175641009810
All Games
GPWLOTWOTL SOWSOLGFGA
51400001421
Home Games
GPWLOTWOTL SOWSOLGFGA
31200001012
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000049
Last 10 Games
WLOTWOTL SOWSOL
130100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
18527.78%26580.77%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
49435506350
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
489749.48%4511838.14%306943.48%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
10865116417637


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
1 - 2018-09-161Hartford Wolf Pack4Wilkes-Barre/Scranton Penguins3LBoxScore
3 - 2018-09-189Hartford Wolf Pack3Wilkes-Barre/Scranton Penguins4WBoxScore
5 - 2018-09-2017Wilkes-Barre/Scranton Penguins3Hartford Wolf Pack4LXBoxScore
7 - 2018-09-2225Wilkes-Barre/Scranton Penguins1Hartford Wolf Pack5LBoxScore
9 - 2018-09-2433Hartford Wolf Pack5Wilkes-Barre/Scranton Penguins3LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3415
Attendance6,0003,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
35 3000 - 100.00% 120,350$361,050$3000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,779,741$ 1,213,908$ 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$ 0 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
Playoff
2018514000001421-7312000001012-22020000049-521426401063501474943550175641009818527.78%26580.77%0489749.48%4511838.14%306943.48%10865116417637
2018514000001421-7312000001012-22020000049-521426401063501474943550175641009818527.78%26580.77%0489749.48%4511838.14%306943.48%10865116417637
Total Playoff1028000002842-14624000002024-440400000818-1042852802012610029498861100350128200196361027.78%521080.77%09619449.48%9023638.14%6013843.48%2171312338215274